content
stringlengths 1
1.04M
⌀ |
|---|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block
k0SDwkcqpu/5Px7cdpn4jwhmBywG88lywZj5IAvgFO2GF9jtLHmg1ziRteFZ9stLb1qACFZoqoE+
DyFnJoS1+Rxt7or8QyoAzCd3OBlT5N946nmlRjZcRourxvetoDCpC2RERANccur6/84iHMVfkuAn
Oxl27irvt6dGDSGwc0e/Vgm0B8DknS5LYUrl+4ssqyfoTlUQLikX9lLVn04v8lLYI3pFWLbj4uQ7
mDcBnKfhbwN9dAlVi3kcU0wuw63FkoNmo9JLfaszDVBiZFVjxdVdRiO0nDHw6/y2EYpltTcqfCwn
ryq+Uw0IFb1W5nXPq6s8RSOXBHa5NTQ68jvO6pFnGidZcOztwxHUcJJD6Z5wdCgAlpGKp5hYg2PL
EbW0ObgQ6qYe0OdeTU52zS7oIpbQaoQuuCCRRwB5Wz6ZdY0HKYTDMEEOqJ6eQtpjzidH/vPvTYDS
Ex7tpJAVi1CplFXVEcZ2PXcd3CQWWyoyTS+jz4D0kx8qTSh8anHVUoE+TTDgEtrRgCG/e9vFMJsN
uwvZ0Gst30/D8I6ic7Y7hlk86BwNIe6eXUyhf4Ag/nHPz1PpdDLQyQm2ZfyAvIxoxuvF5bfQiOg3
Hry2wbXcLPd5aWCtdEDf5kLKTMgBU/S6C9uDEzdmJs3MqVZtj7TFf34phkK8D5xcpaaQmNUlzf4/
p2JQsiGPOEXBc2jON6DDxzdtO9iNWpSirX8+UlzdH2UcO0XL3aVjvSIffrh6NjI7P09hHsin6DQZ
2rNg1t2aC2M+MpEqLyk0jjBJwMmvJ14sCcbW4ZLNQXFtcNpv+sclEpIBgppLNI+JFznQ4b2mkdq+
hC3gxaKUeU+FRk24MUjGmDyrsSlli6+9B6tRFVTH0/jkHr8KPz+yVaJhuwDcAuZ09VdQtVqqGDxy
gsfhEGudYu+peZnLqOnxrZRUfIGWqglbsDt7eMQn56HTWPlQkRjxhesvA7wfhgNwV1yMwhAwLVWc
oQ7BqSg3JA4zQo2T2PZZLX3G7GCR+tJG7unZ8GEAbjLx6lpBHdm+zczhZ+Br/3m7KTU/hB+2Bekw
kk2R8zSVOqXszEgQ4O+kRwiuV15NjhjBAyTPnhSGXh9c6rZhPxnp7BEsGnc1Mim8ucwj2djscWos
7tUINfISFF8rXmaOU8itAy28+HFFkWHI0q6POhhIAyZNTEZXlX0LfGfAlWwlUqNxf19F3ALjhXXt
8fGTxb8VWrNPBJGHgN7Rz5TZekTp1LXR03+d7Qeg5GS8+vZHDQ3GkDhPHaeM9RPiuShG7vSgnnKK
HPJtcVDs2wE7fXzho/Q3iVTiOMLQN4D7FdHkAlL8/MzspV0oy373aCh47lWF8FsdPfAEI/JF+eYA
ydCgv5d4Heuv0hLZ3W1gMPjPlHCY0U8YuJESwfbLufPvxSHGqw47pP7muTx9uuA8UJkkFzqQ06I9
bA3AgpzytxG6FLBETkXN4zoy66wrOIHE5HNBRpRUFwILg8lEeGZ9mWfvuyLUsSCa+TviCqGiujl+
NHN4mq7VxT0qyRZzF9f562JIma0uNYCWSAuTGs9l5q/+PQObJ3uQ3QV10rqTuEL2gbWeWicXzrov
dZWoUyZv0uKQiFZSeD7tHEW1gQgug6z9kNn+Y7YQav/Fb3BzoZr58Kiuk520D4OFZehc5JJnUKWZ
1FfzRf1F5sBaPYJ5A5Y96yDjNh83oCEX4dpe6RNqYsJ5WYzBqaVc7wC4qm1wAnyZ9aTmVuIjA7rw
3UoOia6/TqL2X5k+Q/pGsyPgaSjXxZN3NRdP0XasH7R1diO/HmNMlVKHqhAM9lfdiIKUc/zombZx
6IshJdcmrPqxDglXl2Ip+SXp55OnHkTXb26Xb7vrfdc/rT5HJdbGhNcr1EjJMWaDwDGmiV2xiyio
ya1D+/0GaSfXLJoSZq9nF5hMNqhJQvYizPvxaBDDtTqcq3hYHo07BPL7To98uN2B9/pRgR+GTPdd
nhS4A373jU+IrhaxeM99sV96eMepuDE7auuE5XOtfNKPyl7faA5eK5Is2UkJYZVdQ0k67TJX5QOe
RKe6o4vdw+mLB+gSWtVtZ7Vg93HV4EDKa1MQNZ+a1seg0oX4gctXI6z+VcfgpvzN24fh+hFI52wK
IzFXvWx3Jyilp8P2epmRpVoRv1oXT9lgWuziuvSahZRpWoemrSgYYW+hN70Z4nodN9plnE71Flyq
MmN1kY+Q3z00gvzBY1TD9gZm15d1NsAxu7me+b+bDm9EH0ImEKXOW84plvnpoiF4IpaymtY+7Mpr
kYGWMjIUbuIRHeN1ykjFNqpH85FSEBwrfBVEmdyZzPuwgCmR1wh597fE+H7+c/+5lhRMkZ9DcuZ2
eSxRPX9AWYwgETivw9OTVKVYemBp3JNAilIHMkILq1d1Wff3FEeY4sHbJrSKYSWKh8v9yaGMCuwT
S3lvmXYNrMgM7sSCeZ3vtYKF4gBjXyOJzbvjQUAbiiWzrr454+M0OtPEpMpZtPL4dPjkMAyrEZfI
sERZJLn7YdyAU6USX3DZvwEEtUUWyv9pJiVnBqMGsPVmvXPunfBB8JF75B62Id7DMbguofbmIx/F
9h8YUwUZtfaTqKZMS1xXeXPyELiyzgsEX2D9jqxEddcCBNMXQdCS4c73KOuFKXEddw1OC41zVnNc
ALnXr/qVpOubFCqCumAO4pKg0FGovytkCgXVbgc2TocgNHKFpwwBNxc780s0uK9C8N39PimS4kxE
Y7lrQA3ReQqBM2oMVRGE/YpwtnaZtW6GRbLmvw5CTB3N9AHfTyYAKXd4ZiMTZjcPuEySMI+NyAGA
WktReeCmqqgUyWBHpJkNh9PqEki4kmKoVfFVca17qUH1MCl0xKY+ylH5SjnqVCbp11C4DeTtSL9A
31EPaHS6EIZ1JUVjFpzMdyPMI8IYVu4wyc0USxOvFYG6YX73wHy7riaXL95MoHEo07FXbFy+2ZVc
bO+wlqwUROlX/1/tb7y0xHpy96cSX2dvOWEDFT74oip1YiOBUFnFtKdMo1G8CRUEyznfO7reYhuv
A2/AX78Q0nq+gUlnYxv9dnY2wtX+39hu8ib8C7/MO04RjNAVk0VPQmqv0xp/Q5a4eBlHBNFMVwHN
deiybXVY8cPJXW84UnP+jwRWRWzj8q5ROFeLMKVzCdqGFeZD7K8czkPV8PV68+O8N+pXTh04UcnT
Gei2sduKkLffnn8WzUA1kjlJZZaGU9c01iDnYc7Es/JXBk+VbGiXTiNXfGiZZAIsdq9G6VNeOjII
wjyvuXVhJgmlm3NXwlqO/u1N2fKTdjubnHTOX0BvEi/bK0V1EoyH2t//nla6dj1qXSXVZ3ApSSAc
OhcAcQdni+n2Wvxwt65+/W8STTNL+Eth7PCz1eS5QnUDwLSd9elHZT/29YNPWp5cZ/Y8WhyXYyPg
9gmmG8C27ieRNjUF6ozeKQdjldib/zJXoonmNg4yYVkBzqGYZF9Io2NLJtKclfAo1AEKHpS5GVBf
eCFmKeQjuh/ibkn9DGHLApCtxn4gOTgapLPIgJuWIx0r4GcDnZYx4nP76eP9DrTRGnq7MhSHcIdH
hhg6sytyCq2VADr7k8CiwrtGPBiS+SmxrsUEuFJhu0BqzC+R7p2ls4ZYnr1RU1yfnonmH89G8zK1
v6dSp5QCutUK+S6kaRaWrQVWFC2mPWVC6uh2sty0UdCrMLWsXL8UW6tLYOxRNQ2nBpls4gA+9v1h
XpXXaFU9txzDm5GU8xzSQ7fKKbEK1SUYeQ313F2MOiOd+TNFT8bZeOw0QXZO8SPWjV+x1DmCix3t
HqEu5Hj0V8+oqc82g/1ZYG5S5zo++5MevppTf31WRmUDxoyhK7lS+MyKVBZbQhx2xIaBRPLRD70M
u1aryfT9STTZ1GNfEZueDnbD8kd+gj+3w0OkRsP68i0pZd08ehccaq7TCtpieXHv44GKqd5qrxMd
3b+4KwU0eYMAETrTT0RsZFNBCTygVRPcSQGQ6fx/IjBfca2h4NymxA9eJWzjpeKiG/iw5j07Uwut
iWmdHmlptpHMbtc1ZtGAbCTDcSNqdHAhg1YE5A4+tUQQ9voxdtUASAPgzLOe+8uPnvN2LxhO6Vqk
ctEsHjI6BaceqRR/f3NpPByrgSU9XzLKF93cMyJbpZIyuOPpbDv8D20wOAG0J25fO1E7J3KtyCRn
oooBKpjeMc0Q4HKMBUTmcWOrt6JF4dD+gY/hcb1yc9joZ/W7tNy/TsB714ttWN54PmgzjLtOwkct
YDrB7rciJyc1cjTgu2huzLb120wUH9Lp0t5HuGj6xiA8zusXHnLG5rIswpQh96SW7AwyjQy/hD+g
SbDwM5Gt5rNBE0tEVgCT9/1clfGzFljz6FKG+6gngHLxTw0aYFb8UfNWms+pJtK9a+fiNtEJ2fsU
uQKoj3HWuyGSHyg2hnhI2k6AUULpKKffbW42BpRVNQxl43fENW/62wDtomJF2wkPAny+l6paBhOx
aucUhdJPO2+DJbS06g5+seJVLdbXuts9MZ/AnXMCN3mcFHC8Eoe2OPpb3sEr+wbE/niwUrd6uW9F
XgWzrBWs2fWzaeLHBAebWhVMOIq0xKPJNBaQc2dZy54sZA2Ix74nUQDVxTkV3ydm1f7SL2k6kgOG
U+SzrgfaGO1DU4PkWpJ1Sh85dFWTnh+PU/+vPgUMYjctdsVxAqeaKTCDmS929bOfUX15ObUCk1mB
JiHjo3wMmG8fHrydXc+ja/+cSuJwRrt+8BfTEHiBZUe+fTFE5b9CC0b5UgMSYsEVSq5YUSOK0T8B
JRKopx1evs5Oc1zZXGAlK2XWGV5jRpJisMC7EL1MKV44vYqbtcUBWA6TofGs8Dw57xsvOIuIQL3d
hiV2nAcMYKLdB207sC5Yxz7XrOCPlLrkc+AAglnNUtzRkxzc0+L8/AWgR6X2IGy09n5s0IZnKqVu
wFWrr+VcFY4uHXbN3T1m6iu+BEMhbr6OCe+EQC1gzs9hQnB9ilqQb3cBV8NQ5Kh5JXPCT9Z54vu7
/yvOLf6+aj07tVJyFp/viObj2CdL28ejkK+Y4fb4dlUSx/wb67FAwYNb354FLSAExpMCssgRwP9L
zHnCgIY66Q53yJEsd7qTIemaLShZ3fK+rt6M68FlIotGbzfp1f9AFp18jIF7XQ40cxDGIOoTBk71
SXvpo6fg+aPHvFyhhxX9YBUcKD2LIe4tjAf7O+Fkz0ZQCByKo5d6qHK48sNIHcz+wbg28pb+e0xG
/YoSZhVZDkPI7FFEC6hq1LlN9PsGlgITaWGO+jqmpz+flNAZJGHYHUf+ajZ7vJlIrqIQwGCvKz3v
D0OMNMewBDOqCymh4JGAV1QsVxfLIJhKX1GRfmVPlPVZ4uZIDA6Dz1LhQaKfWPgMeVlTDSnWL0EW
lTzwa6EyujY10TZle8z3hIqtgS/zIaNEMHA76Y0I0/Y5d02h/m4VrBpI+Ob4WrM9vICaVOSZrOOy
3zZtEgbqFkXBS5IJV4Fah3MB1EBoIli05Dx+rHsKDu2DluNHsJ7abaSoAg90USuWIYcoOz63hIPh
TL/EzbPF2rjRqDRr4bShevoOVIrHmF9iPX0y7Z+VxhkNBQFveTtrMTy6t1UDwjIynvTCB6RBjoRL
IRjHDCsUCky+kP7FtvukAVNz9+bwTeVU5UZLhGhJHgsqggXJNcl2dx7vU4xfbatgVsRkl16xhuML
bjqU+M+L6RpJaE25JRT3vSaSPilh4r6IZHA4gP4z/nhuZo6ygeAuy1sEPDmLZPI1oO/8woB2qXQg
FMgVWjqWbaA8QBqoE37u979IR9n4YkMy2T1AYHs50OI5l27oituXsgdcge8f228DV1aAWAAxYi3P
q51ullyCASId1+Fv+Ob8PUuODfhilqPI5u1K2tx0ZIsA6A8j69n1ZYiRHHrCp901JFmtw/59/tFX
S+S7LwqL0NRuFG0pX4vo4LdBdy7RtAuqbIPrH4dF7xckC99OMPaTKyU+NkN99Q74ffPHnQ6OJQGT
V51cOljtQm7HLNCzJtg5Mw6zIwsJ4/dhz6ZSHtWFtm/n/eP0++hjwwZYCLl8CbsQMp64H674DXF1
fWqMYqflGCet42GK1Q/kpSRhMN/udOurIAUpPgZWbgEURGHoBue5VR6DnX/Ou8DTPcaLAOorySGV
6Z/gJXASqzaNtUK9nUnK7gGtzD2Oqir4nvSJ1Cxgw1qibHgqsFAAK4YIKPfOG5dogBkPlQ2MSal8
nOt2JFWWK4+X/OnTYvUdsfOXNIYYN1GR1OL5MADFBV4LDuBV0jQK1LvORMRe8sZI53bsb0hZOZbn
2KCh86Dg5m4WrFMrqrf8fJGe6S2HjaV9sB99FihotQZiYyr6qClDnRoh0woLx8zf51caNKLF9/IK
N540gj74cZUvsbkmNlhnjvP/PnXGsLcP7+CceGf6Uq2kNnVGiMcCHCAje/SWCcrSTqD2DYh2ZhID
1jzquQ0o16PbtVDKNZPc4UQ0s6w/XqGpJ12PoYghCV8k074nifcZvDvAQYxZeuMxNFvegMB1jalV
nGUM5nR4RTS6/zxsZ774PCGUgfflJvSRUbXaHPeyYJXHVnAoVOPJZmt4FEq+cTGu58xDV4vpGuv5
rNS3YPCiQD1fr49G2gqKMO4WELda4ppXiYObr9zmXHnxHFFmAqY2MHD7OZ9nRT7Osdb2jf8+1pUQ
qVKxuVVSRacKXe7uFOcF6qZifpejG2qdnkt1TTaFKG8Udov7qzw4C/TwQWU4/PJxXiRWeE/ZID+g
OpbbbaaT0j9j4OeTeawzkSiIdb2LARYEe974ZlGhV1P3TT1uMdp3+n9VyNnENdnAAlUUTa12L89f
3Ek16y6ZFO8C0bWJ3gSJcHH1b/Aj62XH13Nowl3ZzkbqWnw9zEn1z1RmgZU6J5tr+0FY7gmiya2T
OXJ349NvzL61bHNlhg2yr5avTSCjR/ugyOC9l3AAzpil+hYpevHLOdVGVyIKyBC7nY1vmo53qygO
YPe2/ShYgavN/QmtLCxwYac+Twn6xNENuHR7IL3qxkM7J4k1tEfoyVlQmDOx04HkmECIzomLgdbY
wLepDE3w9PCjj4E1zx07RZUeRcNH3bTZlEO3X2hv3cGDHzuRG+lBay/MPoDapz7DdSU3bKR1KEqU
P0lS8SRJHWcejRwu3TgiQf85e3vmpgLUFahUj0XWO4lIxVyLb43uNEqps7Z/1Bb2pdnUL1PrSddC
ArQsGE2U4fVcxgoRA/MvuWkkTizIaOKwMVQiUWm76nasgIVSOPyE7xvx7B6GNCywwi/pH6kmEiZ4
xmPGpH2XkVMoQVihPPRIcO3HBotkqpJuJlvQOXpqXE0B09jQAe7FEBgC3KqerB7HL6c2LPYOgrgU
maG+ATeHPoXnmVMjLbbh0m+vEPJz21mSKOJml4aljE91ACpuLMS7SswPZU5Q4lCn5pifaQmmA5fC
YXLznwXiTpX8B+clY4ky8pQXz0HNHadFk6RKLXGHiImhgAjLWPNfN/BlpMTefhtW3OV9Yk/q0HAp
PhR+h6zRkfFhvrV/4DBqIU2tqCQetp3PpENtnKs+obyxAiYWcyapJHQb/IyViwkx1iZnxeh09jp7
X+aKndc3EbjN9/MzzvttWKyyNEJqSCpJQYo0MPaQ4KyLFQh4GaCbO0NIA2WcUiwRruloXzVMIJnf
zRnqu0tyDhizgnaPaVpdLnbo63Xahm0GExXt7w3zrTC/LNKtD0dDEFjvMQTLrb7w0BcvtsBlC7kA
dd6/W+hDIFimE6tgCtbwUEYnGpM5p3+HZKCB6Dp/SsyYxqqgoqEfp3bEPFx0ps8rCLZU1gHcrshd
u3ZsNuk8DX+Mr+LQG91V/oCxmNf2spKVaQYmq8D78flOoDK3AUsjloYdTHqozYlXLH0m/VQSARo5
ce5tz9RWM5uxy038cTDMpCsCk4lDH48TlD3qdjnyXc667QvoABf4nzqCbGza/YdITNLH5oA4Rp/k
3e0/dtFNpx8BNOT0vXOw6vxX4DoRzp89dO49AmOBecjWcJm/wfzy1T4/fy4MxfoOY0Y87yR21IHX
vURvFaBTtapZPTNeVcs0prbGJDf2odwNb88YCdoAhNB0UApvo0QpbzFmzhkEUcvEJ3zY6Q8aFBiM
6YHIXKJ2afnYzWfzGkiDJ+QvMgys/UpkJqOn58rYdevN0Oaj346sOUiURjCdLcw5WifHcmGqxbW8
3tyZZYHzxeha1pyUjOTlN+oiBqXoE8qxHD7cP++he7y6a1uyaUps/89/dhUAZvMj1tA8vB0q3vP/
fkSJ18U+8P4PMetDOIgHefR0/d9+mrLfkJyS50Px1SSHl20K60dTk9bspRdmVRAPpiPF49UKyZLV
et7WKzIBjIrX7NFfaxV8/chYxceSRzBB/reE1qaux56UFTghlLfS6KgGLcYghRFG91uwf4l0Gctv
4UqH1SYWKXOFKTgRm8DFeUP1s4oOL3BKZGYQ8VCn0/Qpkbq01t/vwIl/7vmGRUbo1d/9Qrx5XAQE
h5G/pNKFQvm0KN4y1Z2rGR85Cu72SWQAEdGya3eZwQ5GI6iG2ZS0tqkLzwPIxo/EeVqPAdrXsUdl
wAhoxOmK8aUjxk+8Kj+iB9PPz0BIDrRTNyZ1At9n3z5Q2FzsTzEQ4ZEdPxDS3AdRiMk0vIOq3id9
2zPzA/wX+HhwTCEshdtdg1g6CR3QEywA222bEFgxcCYPEvc5r3C9aNiOs3MXgBEYPDcsKZpN9I9q
7h6lvY1ni0uFk5FpCs9/7RkmUQ1InCDh2lgtj+S1YLdibADz9yakn5ewQxqUfgQP5d5UvsojxC5C
rc/0J7vjGoeikmBZABDH+jCVjAz4lXAdrmikBmLVCwdtIXZNNY/IuWLd6z/QnSlrauUydZ+Ifn+O
OzgYyiZcxi4wphcduGfEHoRtlwEPROWd34jxT5exjysWByKbf0wIaKISH2viuwf9bdLWm7YM4+tL
iaXM86MdY1ZANmVR6365rJqsni3lJtJ225t6pqrVencv77Bu2FNNKIBoxP1Scbom3oDRACoLoP0/
QGSVtptogXOY+qyPqv4HOFS8igm8S1I2txNm5x7shG7PiDjpv3Fc0gsOnSog3v7vEtcKASYuIn53
gN9SZbZlyUqcfySVB6sMt+5OONWbOwfSa2JZDT3pkpar2mD8ImZmVc/+xbviUmPQ78MeicPGS2TA
YP5776v4qVeUQ2dJkhy+EnlpasxwOFWT2idMohhJYXdr0kRI9BYnWnspaKhJqBobk24Ddre+ZqP1
WbAf34sGkL41pNCs5+vYlq8o+EUT+AijXKqjRu5tp52RkCjFWKGOTF2NkrWDLVQcWCbwH7hHDBdL
eo3b+fOmTd6pD7IGKYrNlNzpo8TdlcDeS3GXF9Evz3UOowmHwKOqPTyDm1R4StF7TN+JhSixYhHR
7TFCHKnowUxFBUtYNOcuHTne3O4BZEim4FMBLAyjHM5FHKcuQ5eHLZxdxLKGlQ+lBFqG7VDbrQjF
opzuj9eG2t0a4J3260tkvCBiXeDVMUbvFBkiqjLAILMORaeLShygsp05uLGql0MDpl13tu4SpgmA
TtQjvX0ZxWVdBe1AtVJjjxTHATmjYIMv6ZHi6klqqO9+qjd0mIMZxfVZJgKKmhMPeijc/FHvYJ9c
MIDt8j/8PmYp7rYuXuNp7ffFHO6ildvT0JADxVidrh/Z8m01uMyqFPSVaXnOiSxOjfepPCUpMmVK
6ClB7li0zYqHArSnndVVMOB+EbBhIf0/RQVvL6ym0F+41q1pA7dTqH3BTgx81wy2/DFGJlgII8lN
WXTsPL00FRyObWPqsTQQUlXJPfEiKiS3wk6RCofh+0hCRbPoDMXsmjOv8Jv/G61FJQbrcCvae00v
ZeXY3ADn7n0Xmiz/xoC7C4EsJRetChBjMOyNY80EwDdFcR7eBTOLom71W5B2CCdqo6RU6u/BZ+Fv
lJJWUvToTnIqNCFDuweJ8+K3Eyu1JGepvN7+njGqhuobV0OY5+eXPtBVglO4PP/QF5JUsq+xO+4r
3PABRA9eiCffmbKAXVCLBRWdcS1KAqaFJ3Yq4TNc3Bo8lGcxY5zQg2oV+vs3TfYWg7gBDRsvzmq8
1uT+kXi1it7FQLBmeAYOXO7YS2B7ZkDDOZAwElB+ZSapOPdWj2crmLdLSbpK6EdegOb9JES8uXS7
qKoIVEcim7CVAZsKRUJfPjWb8XZ3PO1NFf9bNc5pufwJEkZZ8R7KM9zev0dKpppZd2IgB0J4Q3xI
Tw1XpxcD8W5CYxjnwLeD6DYdPiOWirqxfBbzMbI3NriMzSRzzT9G/Efeoj/n1orKVZ0+5525s0pv
LvBBViEfdWtamrOBqMSTarXFBv+WSErBci/CmQx0LoY/Xjz/V+vvQ8zJMYlYJmv7pSlUeDQpO6VR
TDPe3P3KlpECpmsZuENnH0ua331IgBccmAsjHv9+n4dJ80BHco5pze2vSTfpnrJq37lQq/frpV0m
a9ua8PNoM9DO1zeS9XKHUCLymLma8XBFOt73MYIDQjgfaocah5b+ujFzM73ZvRy0MvvZ/g0Pw9Fg
1c3FLrffyoqiCMkbseZ8g9t+kAkjLXPkvN82A8nSsuC0GdXmME2zoVYTz3VuSMUW1bLyo7aEkC62
kn9ABwUn7t+YxB58vfGH2byrMf/PM2LingKQBSHXcRlTq/j0809xc2QjeV3nduR8UAM8BuODNi1X
o9N0aPU8aEE0D1V0wNZU6+umMxwjm7zNit2bcK9vmUYNmX1vxJG5UIyHD3uPpFmHU+SvHKj3zege
zReqmy8yy475Nk0f4kFwcnjJn0Jy36OXnyXr7buK5rvpG8xqsIOMGt9O7+nGNB2K8ku295ICsym9
rX43LKrSuQhanSs709Q1qCc9ToeT7OxLWVO+fWbrZlMKQQAEERFuyW/NFnECzvcVCNGt0BcNICkU
riEvBD2JXgD9LHiTEDVvqdDfmU4jfnpFvKZX0uXWdmH8Uw4zXXJC329AtTA3BooIS3CcYmbzjHgf
CgZ4WCR8+wAgqdmYx880K28rbWmwvtpFvZyPra+8RhzgRb5CqdNu6FoGIS3vq6ryMBS/IEuCVjP1
CuYT2iYVI1BfUTnPsTCpiaAeSmszCkgDQFntdNek7u1dgO4P+vsnDJd/DMsRYLmEEHQR4c+9XiEr
W1PFTLZXVuvf08170KzYsfwAIQLxuX5EDvoBLMtEofw1ePuzcbUhYagqFgqpUQQvOadfx96Uo3Rs
5o5swv+xVrCbCCQ/C6julriuKfV5FCpqgr72F/g6Ie+Nm7oAy/TPR3MsMmKy9WqLoEaKaO1CDn6B
yacxkAOBo7TslSOmtxeyu096nX5sP7bP9xXdhrJpQBqA30hhiEpJVaBUJvJBgc9b2pq2MTpoxRbF
7xZYI2TvXnYlMhn2LTcgYYrJmGnVzEl91Wm8iEfiaKukcGSRP6mmPV19SmTH9va7VcDz4DF4hE6R
prmiININSbM+68UrO+vxGY8Qjx/oUEdaUYomoMa39UJ/QDIP/n00KRfx4/tifCNpmhWVBBmfrCdl
Gz6DAFnNcoLHtthN439gVySvrQ5+E8rltcEzNnWk+BB/WnkhIhF+Zl/EWT18R+4VwawgLYo43dhP
Um0kClPrh1vbWOagkCYYEeOEwDYfrIoYMaD6s+PuKxlRiFkuJEFky7vmPHaU7N7p3bmh19L55xv8
sMCy8vi1ef9fGmKskY5hdgah2XNhDoJ0tG+LpGKwzrSGsDVvF7irh1pWTY0RKKfHeNePEhgMdBb/
ppQcAkRr2l692fzH1uN9EgCrLyQq+tZM6VyPXx5cm1GgshZ/mx1S8iYlaXC+PUlZGhN78fGU55lL
BWLN5QB07wtrRIjrc+ITqkd5vP78r0JFGttn2D6ZPRB8eOubE9hD5cB/J+HioZhDL0fyJI5Ieava
Wmjmv5M7whNTZznDmZ2dmTz+yxBTXdtl4fXBIPK1DGGCMhkzGLlWHmfyOa84tdirC0M1KH9t6hnD
ULx/tKyCNkzuiWPsKzFEdxzs5ms9plyq9q2bEbey0FpcLJweGdx/QuQSU1cQuHQldtZXKruXI4k7
YUdYbk9+5sjp4WNwDAUw2Dx3iUlDACFT8E1uhqgJiI+MjtdO4LSgvV2UhCn7iek2eHQ3GtOoQS1R
AEl0N8m3yOpVde3SnY1cmp4tkyV0O134vomnUhDydHJ/k++k0Z0kLMnziHvwR1Oad2bWakAhyG3w
7PfRRnPNVgk2orAP9MCFRSfPYoxi9mOFgPGtq495YOm8E0ab2jgyqZs6odNMMoMuTTCJ57RzSDJm
I3az43zgIUPBThuSrhW37nwyN3kY5Sa2h1AcYduFjbFtGIy/U7+QtWjf0RShaBzt9ektpEor+DhN
aruMhoGuHf02OhvxaXVHeDVic6VQmLNE507O7ShipRwFQZm/1MqTrXM1JylJxV43+iPttrYW98nq
idJ/hbdgij2vFpPhKljrPPNSjD0ucI6wqQSfWj26IWX+NhRUaAe0u4EiThB8g3Sn8NR0/+yxkWX1
owp5bqP5vbnp1Z9f7ELndenWzc2G2vq222FUKfW/KLxT4apztWlK7aDRZT/mfjsA5pWheWmNRavS
JWwifinr5BKc/b1t2BBXl2klYlrxOAkHDmBHOHy3NRrA9rCAa/0ysmPdSaPXjZrbDOUtgzlatrIG
+ugb3gWB4sAeQX1qzzpnqL3m3UkfdVWzpmKC4W17fG23S6LeE+R3ADUsZ4Bn9QTHd45lpobMYImH
XoWoaZ98UXmzxiiKyaYCUdbJATbXZH2CxNTwvJaxBPlRjTOYMmhQqSAMqI4zp3B0IldXr1gee3em
huTLsIpRmeS0pB/ZUAQBLQWortT3K3/dyjWIFr8epMP4UN6i+NURn9GyqlZ6OSUBNdpKbZNZN/XJ
WDGVtUwjOHRGIf1NvCGnkuLU/ZtcmeZ5SyX3lIA3sym9VI1mVU96+HQLT3zTgaP6Y0kVk1Zzsn+F
AFxmH81h7ylqgxAptitbklbWg5p/bFoCBPFvuWrO1zNzBIdem4oLz+jbCG5FHAIWE1rBQakZQq+U
l0SzjnhycTxtZQyXlTn2dJmpr+u59Py5G712CiyLdra3RaUsoV6MxpAAi6XWfnIBv0HtljGfu3sE
mpRVqqpEiC/g8FRyCamkT8D7uGDkDuiJjG8H7qnI0d+Xtf6zM5IO1r9B9q7LWwPYhB38V/MM0swx
chq4apLnGyplO98Gt/X9LzEe56ciZI5IPCe/OhXNlD8R0e5vKmjYOnIuJFoBR7xSFFo8KzBiyVu0
plmgb6nNGJSE9I4rmjlcQALddXzXg/h+me+7HZZG0gVDIz8Z/NtZWeE5wWzuLIIv/K5SgMYRTB+c
lE48k9IC9Ry7vJgjhdVrqbPMb7x08bDhBsayLLR/Tbnv/VEsc2WSsn7Al5oJY+24DVl4SzjlK2pl
PWc92DJ9xtOA8n6ZYys04X+smWwQuJxhzesP169YpZ7ZjpmEoGgzODlGcizppB7HgMlOl5ynShZG
OZkAvR0h21zvcG46AZPzvlWvDbwhfRdXXn2TfQLvuHb9GZR1XbGIlHg9TV9c9JKm/z4XZi2sWS84
ppXiEz41M+ddDt4sRyOGVK+9pnnxy+qrJCfr091rxPWj63HbtOIylaL4+BJomaW19+UeCBQpwsJD
DqiqZma9nyJFhVfn3s29zo+1zDnVFts9jxrqewAKqDuoo+Eqy46ui12vafsyGpOj2EPwCu5IEtzT
LbTcRXuFBtfbJfCCiV8yVLj8as7oR72Jl4IhW2gfzg7o/JBNwMzkU2HJptl6Rw5cv4baJMTG6Uvc
pw4bljsOW8VVOnRDJPAF3O57EBCWN1f+aLbQzDTkx0iXuwwLldWvTRR0Cb0jR/tc/RGwyUeYS5Fn
W0Gg3NdKDam3Q4Gi4ficpu5MnIgWhyB0wGWm3eKGMCKP6YmwovqYB5ciDZ2xgKS9jenFV4m8Yxgo
SsVljubBv79bMPfZ0P2+5dkTJ2nZyrayBdCFbFI6Sw2sHsJJVzEdrpiWah5ZiAGv/EQIPKkO6NyX
2/dRf2q0+HzezWfiOUx5r8ucSc431zzGKbYSQ4/G2xqf+CMU7AwDkkLH5B1QvoGPaf8rcikt1AC/
er4U/xVhDgUFN3leG9VdftmoWYvUzHMoBOEVEQo9tmXkD/Bn6JNFjcXoDOUSZqamZCPI3nwjJHMF
PJ5rifGqFFgp6Srka87kmcFb61z8d4uEYZUdv3S1MAdl94hI6YEmhT0k2Uu6ujA08PRQAxYJWt8t
cMi3aAR7p8avTHsALd4ri6XfMQIOhiXkovPSWLM4JtYDc4tqadsJIkagDzcB2bguTc+geWp50Fou
DhBtugZWml6jASq68ThY9SI+EXZsyIWRxMcsbGe6YIZ+kGYWCsEukNzT9Hk4CjbI9CWoUd+JYzs+
BHSBoOWMWeyZYp92na8KiIiC0b2Z5cFIBbVQcKkcvi+gA+tLugHYpwCzR1kLnzLhxLJaqqVSgGkq
dEpjFLo4n2+ZSbNUDDi+/BiHORTUpyvJs1M0OaoQ1na2PDEUo2X3aAhifZsRAGWYWAZBaCsyPDkD
rT6lOHI5u15z1zYXFcOslXwBef4mjorbdllJABn2DsvfPZO5T/7Jqg0gAJPbZoBaNChdG5/yjr9Q
pL68IN7QzEavzxwGfAEMIafIaGwNJANF7QhkhWgxshWwWz6h2W1Elfgr1disPTuTGaiubBnaiim5
ENVwf+HfasJyo/X44jKnvM7Ubwf2Iq0+PBTHxhPWsE/0RVqJgji7LDRDY9HfappcGb08XGUc0qpC
wqqyrg8mSwcqstkqKICjtjuZGTozodEIShdCwJaEYw2PTem1mFroMqPOwpT5wUloR5Nvl/Wew4Vz
tGyubqMkE7ZCLpF1rNMCM2JfEs4CZECidPnf2uFQEnQN6YIsz8FOmSkhscTC2xqSfsnmWQchDxHL
zzn7xNzAfRk+MOXm1ACI+Jnt39cVjZXsjoEx/X1yIOD1ts6C4Qua/i2eplVho+acfVksOBwZuQmb
/QRHNQuhX6/p7oZ5HFl2Tky2zYDSL6zlVyF2ZpEGctQ9UxnDrpIaeYIvTAoaY7f2U4f+EaiW0dSt
/NV1fq+Durukb7x7nRdeLY/cvZm47Qa5O4WFIrz9PN8fsAwhDke6Wr83U2t5VbwA/j5c3jzhdruv
tYvadiQTOC6FgAEmjwWleFI7HmbMxlhg+7ToY72BvLfBmkFp6AaZSoPeQxfwP5VZLlugXyJqVbUQ
R5xD6aBIEes1pyCLG3hVSYFp46g1ZI4HeJPJpuHi9Qo125WGS5qzUQhPUdZAXPOPiWQfmnY2LKG1
Eplwl3TnmIn4waEpmpTfg5ICmq+o6StDwomJLFP7Kj07pP1eF1LBmrDglcTp8beHyOAmLnreVgfr
1NZYi0hrbcPMDKU6p3xrpvRdMnmVQpcj0YOcQqrPzFfwkR69XQ9udrF3kPCKjgs/KyKGHCc1Jy+l
7DbtJNJ4IYtDUeDpjK1+XHCLq1dMjLJQc0KOIE4t61BG+mCIeYU6cCbynPt8HeuN38leIr+qhFUi
0IkWrZK7rCJuEl6IEaOTP493sDwM4rNMatCPmSq1Nr6zDOYFLwZjnoH/IDeF5xxutyme5qG0twKZ
zC51C/zXmNutCXtqYIW8Q8cCquNVjLZO+K2OE3Y9866vSO5RmDW8vbhVbvOTEyqnPgbbWrg2WKtl
OxkcbtRsv6URdE7uSk/lrJ3hyEuWK1ugy0DavhDNnQ7lvn+Igf00CFmTcm0LkURtaeBeJGIwp6/d
MpZ/oBxhXaEfM3Ays25xqI9Wc4cupMfyDlXyuTntq1NA1DIEywHJ9gbaIvoPwTVKdG+6FVd1ZUac
iG7by8QPSUTGmZy9WmYzL5lFiGTPzSY88jHvqibY7dzlhADRDHNf1SXEWsR7M8ZZlq/mON8+qLSB
4s0tsu+TZeeSjN0W99Pmk43YSPhhgJ6d8ecQ2pPQCgcqHRtzqwmyH+cBs5o1relfkObsdfPYYjQ2
YbF5QnBAOww5cDv8ae6NGmOl1PoI7qAFz+xpzotHg2dlPr6ht+b3eWiYakUjbit4KmSIzLC4UKvo
a7KeVjLYLGXI4CzLO7VmJkBe65/nOvXPVATqe+FRPXG9dlN2iND21UUNri5M6h5N3mQCYNec+C0v
gihb26DZYSbVGUhWNvDb3u1pm24YW6ZMrxEMOud+gEaofdD0cABTi3K9UaXYyd94aCy8UFOI9K2I
qxUde+I5Apc3Y9nsSbnxcsHKR/DapVyvYzMiS42xBKN9I8UN4sdVljqNuyigtkpI6z36Bn1LwlS4
fbgqJ+bEzTxEkPrgIzXYFRa1cHt3OriG2elPa3GtRM2rf5+SkFPvhVFZL5n21npc9sX3K13di4ba
cKCEoHnGo1FSn+PVxBv56j51TyyuW990pjTxwAdeSJ47h/zOMdKmM9L1KTfMtQYol7rd0cWCLz7g
A3blB+X4jIfXagLyDPv+N03t65O3vnH5uBwNuFSygLrnCKKwqFY1Xb5/q3WJXUKVEFAKkxbBinUD
FRzrqPb4li0MhCetqKbQyesxkZlSfB8IoZR1Y9qR+PVhy4tVl8Bo1HUt4y2tlXEiyf1AwmYFqtAm
ixmiKJdtjuYMKsbOqmMSryoACnqYkBGiUeHBD3lepqKOpKOMhfEUu7BszcIPv9Gp34gASNRUydod
IUbMkf0+GGxNozxdJGMZ6JmvWZ+7QKZNoA+DrEfnJ91KeIZvgEFsopSs0fIex6T5zaIuiQPzRLX/
JqD3LmQ1P93X/qg3T6p4aUACFmIZYPFrsodnliqGKTOQjmpNpaGEqMNf2nRATG+5oJhUgQ5Vd7lz
b4MOjTIheueuWuZnXLrAwACQWDCFk9kN2AXtijnZtZ3tkWo7hw2cFbj879rWEk/gCdMipEPYVKh0
CrNEiEHL043dZbRhTaufHysxwFPhGB09xJkzkxINn1QihETgFY2Wlv+QJYZHqsZ74pVK/xsfM/hM
hy0h3s5Gz4LpsAo4FWdnCbQbB3YXtQEjA7XIOQHRg95UF//qhnpGtOJ17KN8K/7nz7hjAwuczD3X
DkNv4k6uj6QtE6huINw6HRUiLfX1PpLa1j3h3TrN1p+RyFURAVBIaxy+s0Iwmtzeg1t34uvRU27P
4AUXEFT124wbIsB+kLsrlzeBbx9ywV3zzWGJcqFn/JASX5r0cpuJc4Dvdx8jJE2MsigXlDBmQv8E
nxPSKw/kIoBbIhlCOiuS7TTJgvzFBkkR5mwlmOj8h7nDStBeKcxS6qhOXGQOuS5Ld/ZcFfAdKVvK
qqWVEpnvKvC1ITH9UqtBRx9xCW4qIZp0kGziV7D+y1YLLyXrP7f7GzsGxw2g5PqD3c6p+sGpMchh
tBwYqLWgk1yykbjkzjzzkgoD7fWN+y7YXpGnnjIzJ6LocQA0SV+l0OKuLGegKx87qg5YPYTgfz8C
AxZ4JNKxHnihh+2+kGrNKg41n8/Sa/EuwvrGjv6ZRVgh8RpuW5k38AfQ10mXicZHvyxceqSXE9hu
haB5OzEbhcO6v9L7l0P4jf9KHkc2sudLpEj9uyVT+nJn8rQmEOOpHLm2YzEgr+A0ilJKcIHOL4LE
Kp15Om1bZ+DYI64kaQGxze1cEaixt9ndQK5yLlBUH27SxyqII2OcwUXWuM6mAkEwqQ43rNJS01l3
nF7vrfQl2PP8HQJvw1CNuyi4rkBkFZEyefGa3yKYy5x9hZFjkt5+bxLsaiNd/TEppjIjQD2NPR31
QPsxi173h4cacV1yhEQrSWNEP387m3fIU2hvWuT2UJP7lXlJpC/4new17XBk1tNcWR2GDGSXANr5
TSQnvbnlVmRECYkovniN7KHXPp39jZOMEcjdaYTTaTAHEF2ordLHH05CaGZmy92+VwJZ+sNPBjp2
+SNIg1R3mXevwPAGwviC2dV2KbbQEF6RrLcl8WgN1p6vuI4wS+dm9ntn+hZ85cDTsA+hjm8pDdk6
LQNE9gJwHLqGKkp8WksOSGjRmbC2T5luJGIcy8+Ku+JhNCnKySNNyadhMEcYmXAJt2G30gn6FJe9
xOYyEQzsuT7S8+ousFATfuunOKfEx4QwEXOhVl25qOae41VGCTryFeryF3S/Dp7EfmbRrqJO6d2V
8J5rhbHLFDEJiiK+xtZ8ZuFHf1M+O5PUwpmweA1ROCBd8lsFPyWkfl2J2JNYxXH6mtNl8REn0rGR
G5hcM5inUfZ/vCkDgZ5B+a04BjbwJS49CIimcNRtBEA/ncHyZm9Z1iVW4rn2sBi9QaoWIXMZVx0I
uI6Bwhozb/YybgdAcG7PeQB0fl4/3H/61T0VDmkA3JUMb3z2CG7uTGqg1X6t7rxQi0wUtZ3q/3Ps
775sd8fELuaTstxgx1YY4zbu5KgVhSqH99ddI6ULzZck4RXysb3FKK07jBPDvRdG8c258FS40Hyt
WlyzgLJkjTFBdvMjhfngSawjRJ932/+hfpqHk6kYxiX28X8MXFmRmNEkV5sjHA+h+QXQk3dEtt14
LYWuDBNaVrYl/Fa6AiKAPvTBhQv/kOyCxaMWtyE6uPUokTvA5hdA75sVmVZ/3b9Bgsvsw4SVxUXO
pJzrEpiCK3SgCN3TXp9ko0BRu5Q6VOOWVB/fEq2jplEBQdcHZHs3w234FTjcIyo8LZDl3RAejlzu
wT62dwEyHG3fFbERZJRG5wU8VfQjN/6jPF/wFdspUMRebSotrzJOHDfqDNKEizY3q5nzUSmexXiS
UFBw1YrTxc6gRu9Z8vyUdDONAAAcv+JNwOxjceZNo/bcyTjnI9U9G5LY+XzNF5eqFwQeFHMOiEsP
wW7BMwxTqh+Y3b3EB8g35EZvedyLhNuUYkQOy71jSTZSsW+bivYERxsH7MPhuxYaUiQvh0XuQroM
fTl1N6h7eTDBRB2nEEegypS9FaMVV2BU08jvmiH80zfLt8rZXAjLtIYns16ZlltWcfiRi+ufC3qX
x8r0PLETAILXMRynDlJb1wCc41gvNm9K7UDSbLcKAqJC+qgoqPQ4EedYYTRpi3xrFuV6wjkhZEvM
A3BHGpr+QRwMO1YTZTFHbHKa1QUgyS2Lrjug+EbB5I1oDeUKzBEDV+DyJbLSaQY/Pq1UlNHqf3oP
0LIR2cIBr+Solm96aM8rih5BFlRJB0yH2OPuSlTvuqrzjyihBvXJ+KbstbNjHOL0LyH+aEQX/4c8
gickNcsZvxoeypRNXkGxWz0TBAcOaEal6H/L/A7Bejhv5imdhqQL6xOC7Z1QLBaLS57YDE7fAyBk
5n1Dx8myC+05Bb8VicQV+JBVXbSPqkGdkdWx+lvBdVj++ZIbxi2/UIxChXzqonArr5VBlG2KECVX
NnX0v+4wEu/dbZHrN7fE/bdXMu60BQUhNekwYxL6piJG6196AJhjdwu31S5iqUHAUJoKzPP7uxyf
LMsnvGCPLqqIjhtDvYSvP8LZSuZ46LPyFUwv97Wp69Q13++Puhw2nU6nLAIgci/JgiF28vHtcMEk
NClrGADrqWKBogBwI86HrkxDJeFyrixeRdkCGtma8jgBq7YdZ2XvBz5PFHb0YJoJU7yEnmNz5H7D
cRhMP6phPKw1HL93n1TtaypVtRRJ3bONSkBjAcKdzrbFIJI+HmfVnArMRrZ0Zd6oDKrvpJNRxxln
P+wz/TWLYipfAk6k/3nRssGuzh+A/8wWOVuKbJ+x4a2fTMxwmWOdPnmh4mT3KNkQdbDL3OJ3ndMp
eOL77+DDceIUlYUAOkd/YIGeETP7zJPyn1EUdPP11ZQ0V1xdR+zNDSARtOGB32rWSdU+Q6/TXYc6
T6o33/LPjUsP32exbbOKkcn3RKv9AAaDhWSHgIATulKZIhx5kMYxRtx3qUd1j0SI4LAqAh37gALu
8zV9nVIdtO2cQUB3ghWTV3D3UHqUOBYG3mP63YeTQI/bmDbuNQHHt0/Q9onOt+Kfk+6xykzjrXzq
lvKXtDLgpDm/jXUXesHACcbtcm9Gv9bcqdbK+x9JJCGtZlWhVDcO9kRYMuyHfxOCPJqOHx9j8MPL
JK85YmJkNET7cYV2hBagiJwKd7CKSOPRns8KwRiT0ZmmLC/QLzR8GtJ64mFmWoAvj863ChCaCgMY
ktOMqj1aTITLsNKq1u5Sct79SQUACImS+igpItkIuCVmtKNsg4l0NsLg86PujQOYDOykuqf29yKl
9G0oCWIEnjDTBCUONCl0TzzznF4YpMwzcACJtpw0YUUbHyGF3x4ddVhIBDttZBddYyg2fxbG5tpm
Rrjdj8QkPrWvHKaBGQyp3xm7QG0T8O/buV4jcjJxGUNb3j+jsALeqd2q8O9g8RTFG2mUO6yrcTIz
Ruwe82RIhFASTEjG8kvJJdKwiwLFEApe8LUJ7TP6YmgG13N/1PBA0FnNz2+OOLw1R1BGIzWT3iI4
vSAdO89LxnwekFjBaHo8dzX+NQVwVjbnW9FhUeiT3dPSWkYVlauC4mWurd/rWxfpCVgAw3gATQZO
dhMU//tDhnolHN05Qzl3BKCAO2FqYL4vCavOzLkg8PloemtC4GrD2TU7Ze7xwqttejEesDWjYdDb
nYxGJ6yiccOBCjZg02o9iS/yjXVggy/1oZ0SFkWkw9R5kGocDvOL3/f3RU7KERKNUp3z0RZ4zcbs
sR8sxI4XxNxbrTaabDf6G+bOXaOKbBCc8NLuU7Hlf4zSrFu6E8QxNfeFn2sXjlW6+6tK8wXVilim
7zIQZKs6xAoGxXFJ9u+FnzLNCS+oShEwFD5qd+Y9evX722wkU8swTCmnRpWHdkskidrACS5C5p+f
rArReRCM2ltPN42QeIs1WAjBvMYZHqCI9IwqCxDJwnlFOqxzZ5yloEXdLP3pZHrGntNF2Gx1XQyh
02FPcX0CxKhiYdJIzR+OL62XUbCccJhGe6WZ5mef3qMDwbsQzHGkTjzBVrY0B5XGtW0MdoZA/wEl
fOkdRv3wpigo3MCMt6Qh2aaoUgMDw5G3/jCrJfz04yUDFUQkRRF3ox8H+eIQTPIexzR7EHEqLa8J
0tMLEpdXSszjsQl83yaPPT179f0Qr4rpfuSQlgLdche/z1zz1PqPJjBFBM2Xcz+wUVzNNgtN16sK
/BZFt6Sp5uI3nTC0DkWTrQnh50wcovPiztpcK7DsOHWecseqmI3+jQpbn4vgjcYZvDHshqvtE9u2
CRMPSVzboSexg5YJxWQzrI8NJygm64GHoi8tA/1BEjUoGdbvtv5AvA2OIiXXw1RKPsERtTT92qQg
keqiJ5EL9/r6HPQb9/UR5DEVvKN0pZMua/QiFldvw9Tckp3MMcvhsaBIbXjbX4FhFN3k2AewfMSH
xhd2nZNyTpszEpZNQHw5Pwo2YQpjIe8B48MUA5WeIzNhRUIaxGkXijceR+NQJGZZ9CH3/Oe6nKzF
wjFUzZYEREssPEIrhJfi3LtPOdGEuwd+aSqmLDnVkyGs8B3ppWJ3SYzuaCFYWCQ6xGuMtUP+Q4pc
Oe7y1zFoTdPWw9LBCmM4pObPr+13nV6HYaUi66/WhSqmZl1Kgpo+l2cPZsx/szdEUqtV5Pw3dHu0
AlIaiY1Brq11FM9RwtlLaRvHi/RRyAZ7w/9YX4EC6PKghtiBJrbfQ80/w1pi5+K4aF+YKM5tkRKT
roAB9VkDe90qfZRkWmjK1D1tBWy80tlPbbhBBMhuOWnFQC7Jz8/6Kircn2BVyiP20JuSg70fxVkH
AlUxA9XrUiv2lQxFYyKGPGoYDv0FL0un/vQ0d95/hY/BgOVtTXxGJ4W3vA6dz74xEXcOtSJIhrB9
SBnqSrS/623uvBKDdkzkgowpqgg35Yd6s5zuwlG4wrW2w6+MDTMSMax+uOcIakm3z/AvW2AGYHQH
VzG5GbUboC55NEo4MDVH31VpeUQkkSV67Y+pjA+hxfkQJrFSfmcy2rkhx2IocF5XkltJ7UNxXOlQ
GBJBjgtEszBpwiSGW83Oax2RCTy2dV8KJyszwtgMhnhCZtiHm3ml6HV16ByCOWYF+ivlkFRGKSXm
9j6hLWMI0z2aEJOlLj1QTfiNxA4Ec9Ujyb0UHrMyzABI5MrSF1Yz+ktyv1Xp0l9hitEXFvs2apWb
9UJqDD9n6RBo1GDDYT3nb7DR8B1qNX8qOq3HH8ROWtu7NoNvza+KeezbtDOrOQ0N679b5G+zjgKw
SwURVd2xUT5bLTapuIQl/FsP4YdlPhHhmJAKTQ9/xhdxWT1og6/sVPVn/Pc2oSf2O9fGH8NCrkOb
1NaN9NiYtzk4NJQxmHXVTU4Yh7wQLEwynOnp+b7d1EDwX+mCki9uo3Mk3ru7trqJSUr0ETTHokn6
6mqDrywraIlUZU53MyzJrPvGIC3ar4XH8KeF7w1folfF0/pvJ92OeRUOzJaXdSX1PxkRa2hm17Dd
vAf8KjabvqAd3rrmCj7eiOAlJU+xFYEOlpsRMOd+dkCwySzIUBjIx/HTzC3EoZKIJxSV4ti2HW8a
EDY3f86gEkcM9l6C/C0jLcNyROj3HVCW/mNr0Z3iSf5IQYIDlwFrg5uMaHcb+pgrR0VpH/QVUrgp
T4WaW3eae47tqDIRODqvqUgfNlFG4rbKydvfKbaMrLjIXcyqd+q2ZS0kwDODDPOrdhYw0rC+XF5K
TKs1CYNOqVKXU9VftAxP8YvWpcBVg8BLUNsywmB5AdIJGZ7wuCSe/NKHoVXMhw2YDhJT35kk8dlY
FIrcwQy46iEKxyA7ga/g/Cid1J8DM6F+Mnwx1J1DVu575ePmuX4GgBRSb04JmtiPi42ITfejbx0X
uYeu4gESmB6bXe269R/PW1WYawi+kuJhj7+ZElvJrwM8eaE0vcH9KB2le0DPn0KbQFowdklNPkyx
lreBJLqQoPv8FiWp/sPth15tmYxJEE9JKgdQleu2il3JWiYfKI0jbvl4MkaKSjwMPFTGq7igyvDm
WSmLzpnaQ8Qxiv4UAEhW7e2m4r89Sv5mlq05db9tgB2ZeR5SNmG98mfmAHlabArCZFvDYwjY8yCk
cr8HUsY4to4c8yZuWfMfNrlKSCVsBSsqAud4zs5qYofesjskjGwzRWG/Q3vWQw04tD/h9Q25S1NQ
k+7LGPNA9GsGz6toEM+2gGBx87QQOeGKnJ+bDxCVfXRt1BuiD1hoDAjoEM/4fbkSyKFxkSG6TtfZ
jRa4impbohhDOM44szBmx1FSTLpo3Uba6yrTbbNZFXF75At0uAIB6NeK0kVz6znyDXgQ+7hL0Wdt
I00mMWIVUAYnVE3oMg411ayIoBfio5Ar/GG9xx4BYIrPtZJN4jVXXeuxKV9dVNLZYDkrGo7i2NOl
vtJowtFfph6T5WoCWTTfXJi/koZzCop4/7iS/4wgluRQkGNBhviFpeEMmT0fooRtwwTDRv8cE8wf
xTzyeV2vQ20K83nr1QFFir3tZYu7LGRMk1t/TuAy3hFbCqXJYOAtQ/xr+lgr+3m8dgvPwnuuR9h4
OUecIJ7JsvN5IbCIQtrQJdHGIRTZGx2WpRLOjalV8IyhlrTSd/fSk4fdF/erxyiVp8h+OQY2tBiv
f9gu9UdlErDqYBu8pY5GpXquKWXk9fm/k+2Wy/qJBQeTAfNmrSeY0eBdUdAN5MP/LCFaAvW80Xz7
Ysndr9o4KvQ6fmSZZrj0WQyQnfpQhwZ7V28iKQeTR+ChQw96vkOMQZiVfxanMgokdtmvW81Tkbrq
nWKnk2z5gk/FJ3m3X7w+qR0cGXG2tMb8aeQuhkoXrMr2mdZpxPhfzWqOiqcmheJ6QgODj4OArH4U
X2J+1uZxnrMgdscE2EOXE3DVk6f8+utJ4fY51TAML7NH7XVcKy4pf18md5YoUS5JRf2Qb66m1Pju
TbSIOl0Xcjl7i5PhGqemTKd7G5ihqE1XQ5WwZZ+6NkHmAfpJyTE6a3/oF8aM0SZOEooIt0w/JrKT
t1v1G6AedZyz9PtcNvP7h73QODFmxj3+mksiQEX+VhokdkG3UKEY+h+M0fkXg14LSBhHjWS+iac9
4dlaVQuq4aNLy05uHWmbUfvmUSKL0BfMKzgATmQ66ArnxRZ6WjU0qDcMtecL7h8hc4x7/NzEErao
JMVBga5VqdMnTGcvFlPK6VBQ1Bw0wUfwtYJZsE55oEn8WhEL9nkIMQD5lIpRrySHpdeFv1Z1Inyd
AYz6zEGnYda1l5DgR/lPvXMBEjXgM9nzJHR5I2Ar1K69ejiu3o1AuKNALNUTvI7q+VHrrGUVTY/5
AbLConSugQqqTakbBXjDzls5tdmY636bif0B4/bEcfV+X+0qDxAfgubjZ9Ni9QAxfzBbuq8qjKBO
0muNit6pUHFsCM1Ums0ZiseFjZnXpNrUH1RJr1pZ9MRLPKZ4iDEvmkYLbcRyt3ovpQXEFabDCQm7
wVCZvBFb66F8dtwNl8oplTtyq8eB8nOCsHhDvZB1GXA2ALZrxwA80urgWuqvN+m12A5UKwAZHVOh
cYU+XFMumXF/9zraIjld+peODYgR57usd8axlXEh7pielCTWRj1+XWysdH7jPocF+GHjvOUJ3gDx
7UmGs5iloDYShbR01vuv1SribD0cl5IpUuHKFOWsjzCXPiGAEp1SycgwKqsYBrTdN4xiEVa8EFIV
GiypP5EF0lkF0TyxGSffXxp9HZIk5xBWp778UsBAj/QEkluPCd2PIZ6oqU2oCloxZ2UIPadkIdVD
/rJa7YT6Qrd4QZHij1MJMqnfAnK8qibxjsqZmzT9UuIb5yQLLAuh/m8EDs4yJUHkGdGDd5vNTeso
/Qgnppl7WwpKyHda99x1FRilJrMW6BwBIJoB+rsadYmvHcLbCbRgfs3QQsz96o+oq/VzKaThJSCt
/LNHuQFpS3DiGxeFpkpGYIZtqw+H3zh6gCdiUB2Xjb2SCvc0WxCKsk/2GztOAZmWbfjYmGRLHLqG
pOJBRFzDOjO++NwbtMtqxGaJyI6/QqTYbS1wiexXGHSBZX8XiS0b7sRAweMZKxYwHBKG38DOXi3O
lpEr9dCqNZDwR0k6myFkWeeZthTiyyMM65KSAuYBqSv6rr8ypXclXfFzdNlrCyD5X5djklzpC3nI
k3YbzZmXKU+3Dcob5O63u7wk6XIV9+ZtcSbhd7BE62lbmKqos8t0Ny3EEzUWsn/cks2RdONvllNW
nf/Jg2k+gr5I27FhgsKCgYqG3+dD+X8+OJ6y0rGoP5CfB6yU+s8wSqk4XI1emDLduEhMjAOo17kG
UxB4+i/vC7OYuGbO1Zwkvpf7q5Glp/ZMfe4i9AscS8Qq3xbF8aME/C1JNYQOnS4C8OWZLogl0FwT
4Rt65sqmxHWrmam/aPg6jH+5XGITttRftdPV6D3DTM9OUTGLeTxG1BETisSltcTXmsRvHApRM9HL
iqOegCytLZmZQQrIc0mngLaPHCG68RbzXmTvoVXDQ8Zb5IWLE4DbGAljdDdwES/gUvgv/498Tssi
oaFjBA9eDrWb/9xxzKa+LPVdG6c7iSRYlkoeyyMWQPVYSl9d3FBfK/qpABDoafEsrUX5ipBErekm
UQwyeJ0SkgrCi9G3Id0I6QAPwmJs9qOM0P52G6zMxDxP9nzk9fOgiEJWMyMrxnBq+bNMAuoyzfLE
o6XesIxee7rqpUPaV/kLZCY/raSCz8v+q6mW9LLNvryjtC+huDv8NMoA5Ah6xhaukteJoe7/+p3a
uujt5sC+smtglcQQyeCCc4JNfyRfI1p5CRMI2aEnP1Ym9AiijXgH5/qgjB+fc4NEA7AdNP62RTm9
r7o1jA6mJ9B2cWu8+THhRRB9KeID3KSK4gvuRCSuQBZ/Zyhdl8moKc6jQxzqoEHoOqZ+JzwSpxp6
pLTbWnGnrvWwZ8RXkfPUDDjyRVRrvIGGtt2BYJvWS+PBXJmVkWvQtosWCMqly6C9NoZeG0sHgU1Y
eHjA8I2DCVu0Khvt2EVlzFv69AAI8VeGZn4+JF6oWLihC4jZ9Q3U/n/Qn/AdasenEhcrqe6yIWpY
EiombFxvMrF52q7Qb/qytwHnbAluld06SK7kBNbmwKNglnsYnY0YEHls8Hi2fO+OwbVhWJDXRiYe
6TyyKdJnUyHZSYmE89xeNyWGAGEauxV9DgftwiqVREbwiPVcP2Np1dwy8Q0S9gbkNa0PJuXty5y3
fWp5/mxF/4DbTD1AMdum7//j32UE7exdxWZM25DDf60myjrPqUbHyYuF0t32oMmeIYBEZdzMfZ06
gcwkPDUn1dS1cdpDK8MD1ZhtCS/TCswCG8IyaXEWOTDoqxHIXzF/oiHy+xq5OtcBJIjOdwOSEodZ
09aTfbFE5ToFeHnyenYmlnh9iKkGNQk//j/uSzkwRQ4AHPWD3MF7kRR5UpP0lHOS8FdOXnCA6nBd
Sd/PH1+aIBxLgqjSWh4QIJ/FJZs+p7zGOwRXR/rTAGcFwCeRmxHZGqka6ZjYVmwqtWe3ahLkuVjO
A1+bPcirqN8WPniUaPjoxo/1ZRM70IK0RQ8Vr0gzcwEMY/RnYyyy/owuXUf/6WdYgS4DmN+fUTsl
oZojRkztdQ4iAMzQV2fIYINXZnNcc4mJZ3LapoKIOyWHYr/CkWDeMN3RUgyppbbBkuD+Q3DCDLa8
mEdUHogBKH6OqX94rJKb3DDKkoR+lcuI06ybme0IoSIxZRIWWb7BKYHOePUZE+z++4uVcaYgdwdQ
Laow7hHbN7X+vCJfwRaAdh5/YvwRRtnwpsVgRui2PnjdR9vddnKVFGru4hTGr/NarFS2fgjv7Doc
3m6J1s+xvJAT/rPYG7K6guxKf6fNjAAO0m4PjNz2dYuiVJFGFfVC9HI+PqPsdq8PnHKGYiums10+
wMo9hXx1U4ObSmjDdIP78VR0o+YhU3CPMBst2Og3vb98SeiM4ksR9DKCl5EMGuGV7Ihq+HWxJETH
fcvihuNJBadbLTIiLWJ2TZ7cZkHcoeSL27ASKUlc0YwWpxi3RC3T0GHw2PakwFTKmHMWi3/4dbN5
jk4j7eM3rEzCPkMZ9brlr6D6FhZrmjOlYEkT9vdz3GQ5b6+7QR3mM/ZcjM6UyywZIcxo75dIpiK1
IsRaht9bSyrfSUtoZAUxjPgJJ8adeplGc4ObIWkT5XyRL0ibLAP4wsfok6Qgvu2EVuGm1TXVA96y
b3EWKroQM9j2s7ZWzcgMvwLpdgA0rGRr5+R7CTf61/wqKLTHDexxzbe1x8q+AkVhM+CCRNq3tZAi
tmGfvWnHceilnoKOFCIpeS+frrA84soT/OD5PtxPrIesbxaYNBHqGf3/ZwP3sMcuTZCRHH63rQAO
Nexx7nTRuzsQjPQqLFLFWZ/4T9fuQsX9ZuGWlGIaxcR962WjhoazVTH9WCRVLFrzmG74v/i2RZe9
anxMAtY+LVGv2UxNf/dkGXmMKgB9xNFUXl4XOpmJF3MFXuCroNqScEngZ0fGLE2MLtAd3K9wWz0N
ZDOCpgo6EcZ3+rY/syphBojuIahSfIPVD4scWPhOFcq4eCG01z0+VwIXx2a+JZaxbXv09J111pzw
ykZuAZ4ZvSljhW8+KAwtB/h7V4v20+xCLauY6XWdzO+ZFw/evhJd154DoVKYWtSX7BRtAC9g6gLt
xRvDx1Puh6OjgU5Q6bnWAEQv6++j3ul0RBkb66/okTku+pBNeHNliO/o991aAhhu3ZfPYBR3BGfb
08beJv0txE88/zU4Ctj0ACBCeCsJ7FqtAftrf6O5oMOeh2yhW4gMghzgzvG5kp8YOWaDpH/cFcpo
3OwfMLa9pkH5hsuoPgWlB4GzkLOie9wjiQDFspbUAv5gG5XhADI1Vj0BxMS3fLjSyugyL7rBJoeg
FKVaYLMiVrAEQ3z806VfNfHzirI6vv8AguzADfodr3NHyBCQMeBjUWkWkItZ/P16o2/ig6xE+aS6
mnQptYfLumtIx2RYy5gt76Boc+Q9a2G3N/8XcBkpaH3Wgf/sreGS2z062un9seyqPrAGOQv28H31
+G1tItJz7QJ6eBLsuouieZ9qGSsP0fg/F+0ymE7+/C5IpoxC1KvUSBLQJWQcs2IYiVGVNiN9Mmg3
lqlgVHgIZvMxoFZyItxoHaY4+ExgzqJowpnXR9J09ioTFvOXh/HViL7hnZNco7Fdm0O0GvCrSrmq
yRNizVtnc7QV3RUEnR6k0pYEFPg5K4mJ28Qw3k1PVD+/TZHIQMdDp2jUL4a0epiTDWxaO9SqOcRR
gAdfVe9hHzfYxHMtytUUVLJXXjQK7B47PJVlj4RRs8QDwBh5mVX94DW0knYE9GRuXz+Jl8kZXQKe
jY+L2/ZmDnpZRr8kKJxINFaba+l5prWnXPUMtZ1VRMeDp8X5lj3f7wcIcW0cSDwWogXNLK9DkBCR
GJx51beXgeGalU6mlneV9P41Gb7OU8OixVq+S+AzqgsZVbDgElT5zoGA5DxcLbhWIHQSR0DYTx36
iNGHf1dGjAn4xH9yQHC1nb4oLaNtFViBxkiUCz5iZmhbOicaggeteM6Mx5ntFLI58QxTc4hjWuiw
8G+PrQgMfeCG6ut8DjLJt3/EWcVh6GTf5ULs7bCaM5aEZ5o4Z5BR3EMGvYMmpUkuDE53BncUSUqJ
b9xBDTuEgGEOwFKaXHoKFqncP3C+nSvRRohswQr5O2Vf4M7FjRkxuTVX5hcJ4o2mS5fvnRQFId44
fZSY0u3J0+sCgS+cLyyY/5HbJPWSWk/vY5uCSwnCzxX3YjBUtnR1ox8mMyv6orbJXDr3IM1RN5LI
m7pm3oRNByaS4VNG8XA2VksQCVNNKGQcRyLH2wO7iTWrhe1560T9yOFoVYAAi0rlkYzmjUdyFBxi
Kl264CXRQOrHxFvCK3uDfTTwPnVmMOpnpMec7AD5xSz6YE/UZb5c8aSoa9QfvDhf3HPyzLsTyXzP
8BgTeiJY2JS8zwP4tTHi+0QorgoIhKuvjbX1dZUtMorNUU3Lgu9TR9J9H6WzyI4pz4wphcM7GKLH
au35ojOUJvAzIpKXyPTIVMuofKJuh3EA17tsWc2kep6mWttpX5DxkPxuC7+RkbKAep7IDJjgFvSq
1MxwyIk1qlzZCelW3AcUWBkb9yYQJ5dXOL/6H2cIKKReLqrLGApiXv+hFIpP9OJXTl7a5+bWSYrP
YyH8Q74iFbkCcI2l6KZiIe31NGEKUaG/CRk9HcDGfdugGzNtRZuI0YI1KdtmotzYkWI/Q0q5atUK
6E8obAQuaC/iz//vETxEPulfmtnSvfKbnf3OBUjcfKl+EpezcczrFwmgeK0LvXjB1KWYzfcQjXPe
sl/7s9BO4biLyf+CMEZKV8SdyBF5RwbKBnCAW75q1PKcJD4hVeQqUWLle/o9lnoP8k6L2W9Vb9k6
257pqzZ5dyNNt+832fSSzS84677HIsEbfFkzIuETIqt41nbtD1mk6DD30xXrThz4lUfHb0xY9ziz
wwuvGKI55ZW7zmUZLk4L0jVOfACexnc+Ja/NSXnEgArDLQAMKEQHNYDryT3cdOd6lZbNH9ATMhBa
/Vl9ogrkUvItaTYkb2v3Bj92b6AatA2KK5qdygAHmvhkBxdpnuyMpfLYULMYZaWag7R6qzpG5Bl+
nO+lX3r4UYGVF6chXPjzGY8GUObVen52bPbHIKbTnDUF/GLFsj/4kD9OTxLwhbintxNMVo1SpxMs
s3d2RW0K6DTZWwPcf8LVYf6mBHZ1ddmKOtHqwP6ypMqSDgZKcntvIDnAFQSiohpjyESCLwjQr3PW
eFvm8Xw1eVZRwQRbhsFpeUe0I/Ea1rpQmHJartq8a8ltelLM3vXZOvmEwEfF3v6TxaeCX7SpYvcg
PEzkGVFf0YbENFxKqd+qZvujU++x6sRvD0TGsN+qPC/ZmW0Jm+SxQIdMuGq2vHa2rAthVYLw+e+0
RosH+mbXplRUK13DrE3tW7ITQsgDWDW/JPR+Kyg5F3qa8FT1MiSMYzDIwCiHEBqwgokzuLsjc2zn
tF7s2bBnLbZIc0MurM4qzYmJMqHBxSv+QvJzOtr2nvmrCvSNevevy/d9G4cxgfqkOVDz6VK6oYAP
O7SjZmQSs2hQqBn+/zpTKUlwG4xMrm949/TFIkULKldipUYU9tLaw6zKvZ92VKLEFhYuSK7txhQt
GHcVRe7hS10rC0OQbD4LLGOHg6HOUa0gIt4dokG5YXwZNUfs8/2hyFBLt2debTLnwaXdQLSwj8kb
KHdwrjOAKMnuGB2c84rC+ngW+Ct9YsUrDGc4If+zo/L5zbAG66HwKU4nA0KxoiL6gonH+cv+HPtr
x1/JCu8unFyW92xCO7zQVlfSorOLeRHB2adxq3Mal3RNhlnaas30CxBk4+3HQeSP9fwfkdzh/JFM
Vae13LNTTF1ZksvmT4wAQ/ZM+u+4ABLbNooPoT0J6kJ7tyegcOLVX3oCJ9tkyGdotZkn49U6TCyT
QdDhhLwhspWy9zqf9oLh2uN1OjA4iTTjyzGO0PA18mWEeRxanNbop3rYwKcbUufoGjZ4ssv4ALMV
D0iwS9gWr6IReeIQWBWLwo9AF4A76ykcy+jeR7P0NaY0xZnIg67GCIeStE0Gi2ATz4+zqNPY4x6g
HZ49vivMS2DNmVrd5FoofgjkPmf+27tlh2PvkDqFJO1QcERw93qePB71gMV086usTDpeTjsSQpw7
oKUR2Ews+R3hYE20/RoJDwKNjia4chURdeibA0FeLrAV4e2kiY7Xy9i3y+OjgdIVfDwtmNbJjIF/
oEYI9nwiNpCiOCYrOtMwII8UDjM+qyurOvDAVEhliA3i3UvxpBxZ5dcEwusGGKceAnZ+i4ckYqWO
25rC8jLEhgNfasL2+OZJv989Dy7Jh4TcLfk3kSFm6ij9pcpB5g3TBYKo/7Gt7S8CCpqJQc1bS7yl
LQbNDsOWGkeg/iLsLyucJkeGdzB97h9DFRzlwmBPrxjDLendHR0kBleaZnXlVDqVzRATGixh0AbU
CCYFclQsx/kSxwklIdtyfAd6ax+g5S5Gz8iUufb77uFSILjfcRbzkLwd7fB0Bon2NCH0ylB2LDHk
RiUdvSPz0lNj6Df+EVRFa4uoiRzrp0l/BogXJuii6LoErcS6OZVRDg+yw8KnXvxDZGEMZ5QaYezl
jcmMUFzw9cO1IX0UEorwNCMDAARIk82XWUzo7P65E7iCiRmsdKpc22ngFB2Ujw7oTkwOuWYU9Pmy
cQy4r/eNZEA1Ei2AG/c5Dsz5cTiP3ExAmIO9lyi3Tf8X2kp8Bh3t9fifkUT5C7QKw2T9iCA+OYgl
GbN/6wtxkXhTEIIbM67H7hetz8oMQxw3PWIU6/1sKCPtlfB+4qfw+wD1wADYlocE0lYbDkXbdz5s
gfSQeoWiGioq1E8EOxsHNBjSi2CmcpIG2NoJ/RDl2ZIBz4k+CPKpPzqYnNe1nDcq6HAiR00K6OAf
A7EGCS8Nz0G08eOc22pD6Samo9gLAdIdn/xtelFUjOHfd9bB5RewXhVemkrTVXq0w3yI28oqtJzQ
xFo4gEIWPoVwrK9DgKEYIC1E+D0EaYcuRNOjfCDIKZsegEWC2M1oR/9L+TU7OpXy57FGUmFMcF0w
ijOuILu6cad5t8ld40ztJL/uHBlkruZxITMv2y5VbewHgxjzwMWYv4de94vlLeQlE2iOzn5Omo22
W6eyqovvHVOxeFd4kAhxEjqvwedJgBXLCJasu01bAKqEw2tYqfY+J+vDOC/8LkFmWB7RGQAa4Zof
3iMKx0ByOljS8IH7Vl3b8qH6cu9C6yWR81Kkixih2O0KLGrwfdgW+JmD1IDvDJfYkDCLNRfxl9ZR
236AAgyVj6XqkiP5/XaFOZ4ei5rkrBFYK6B5AXky7oJKumiQqTZDJ7bh74B52PxuuAopdNVS/UiS
yKL73CwxXDw45eDvwIPTMZNMQ2987UGc/78AqDEC/YjD/W57LqIqZgTeZwr8Ixa5mc6GIcXW7fur
CRadcsQk/33BR2ntpgq1E/BDWx5MBmmYQIqtHI7XYyvaigG75YJBJ1BVV3iOLOtwvyrW9PkyyvnG
EPSvwpLCAWiuQ2udymt7fAi+VPvTkyhQRn4Rk5B8ol7/pS5HnT/S1umRqDHs4t3SjdUB8cHu3nuo
xJfB8scysFp6P2K4A8tYaTqubPJeJgVe42aqgn/ZxQhTwAx/ACCZXZ0V8lnCZQOIRlj4WqY8TvSF
0Ne+rTOiYvXLDoUMi2xmDiskMQaPPeloOOJ7tNCa0uLgcv3XuNA1Zgn+2lq7GC7yfPHJJa0VKDYM
MnHtwq1fBK4iF8afuLaFFOp1uHs3PA3NDfgLL2jrMLS1tdpACbORtR66YS0VEldv7uN12J8XWAhv
YgY+EgT1TJzunDdFMqhLWQI7szBFpcnZerQyO0pgjgQCbCmA7RQEoYo8mnJ4xTAKe5UvJF2fl8Ps
PYjdfkn+5AlAOCwvvF/aQmi8guE44w1k3wciGZFFMBcN9+q0X8S8DrBffnCJeDhvi2C2rTKHTN1t
2+5FAF1u9oEQGx2dlO2U/FXvsXsACoJIZpM0TdCMheU0FoPl+5r1kHlrVav7LnQ5lqSH3bhVXJZZ
d96n0OCP2OTpCo3iynDqt18CFFw5PcAwUvH2DPh4IsYJD0ftifsL7NxcJO6QNZ2Qx5Ev/XaHz+qt
/PCPvlYRKuymNWBxeyuPHFnT8PWEeTpz206sE1D9vB7NpKpWz7mJpNWqsFOETKy/OZ+/Ad1bXY6D
OI1J4sph0r3OHKqhvynk+zFew+xMlHvW2HBatzSXsqx/+MjLxSft5/jvIWMjCIghAKOEZEoBqBI/
11o7c9LlpCxBFlFxnOCuEk19qkxaLqmvO4PFWzTPWar84h2b9Y5SqGdI4eKqh/OF8xnYp8xzvr+T
hVXgBfHx1aNZ8bAB5sGnNjYSvdW/ac0MYN1a3a5MQOMezo1maKGv+dtHIvQsFWvSaC29f6ZxuEA8
iGhwvBwXMM1uKEGOWg4XzA3nUTR0nKm4bpHgcFfkqd2tcUEBTJPlDU5ZU5E6yUgINC1mFxxra2/U
C7Uoi1chZJhRLURiIeIrlx5d2cZk0m927oi44I290/TJ3g2Hb3Rhw14vdhRMS6Hov/003O+YhxCM
kPli6YY771sGzqVRyXgq4E8fqu90KP+y3a89Qf5gYE3b9TU8chFsDgb5e8PUyD5xl8JVxjYfmJlJ
bLODmoTehAuVKS7GDahdmzsVHTw1DTzzH9zUFSCOuJT9Ug/PpUyem79kcB5NMSgiVFsz9O5UGpqV
sCpCb7GVtT77z/KBbYcqzNZaYOPF6WGO1zd6EuGDsZw6AdV1lPaVINhwNVP3dRfQil1a1fEY1iUR
Q4sgJSEfPmkQhvl1RzLayFKChV6VxWQheCNIuBFmdoXpdcxBEBLAq81MyBpkNVIXsNClpsOvHoEP
Ex7+Eox9pY3QJ42ysxC95djYeR6YJnOMw7KE798eKH1lD9m676ZUDJp+XFFjfxSyLHr1svlr7RQW
nfZsqspKgCJD9xKFaLRNZi3JO6DUtBQvZmpfJPTeQsTsj+vb5dW4K108HR4n3Cp+NoEz9EstTIUO
ec7ijn/8llweF8EOxnZB8jX/PCMVZyOy2WedLfNZvi8MHxQOdoZ+HsXoxfVFjPL7me+hticfd/Xa
gjPKs1elQpo1YGe4rEu7bP4YRzi2N0zOLegLxF6O1/Q5GD9RXMQfeUIErwUkyOOugDX+BbNzegdb
PI18Z3BWlKfE8xwKdMfuRtnk19fmJ7Mrwr8eBotX10b0RVC8KGGBs8ubvTYaHDSJ9q0knzap4M7S
3e62AlAcqRLP0FgC5hY9EcfeMGwT/XNz6vnNN6mkizVojprGtX/MCuBa5Zdm7/OKdQx9rclikm98
KkW63+WW/9Z09yauS1zXa0nxLOtOqfwhyD54zcktFbss5vU5aFft82CFKv21FLK3xpaWodyVCPPK
wrl1Ih0bW5DrQ5KKYiUUu2aytUx5yox2a1fVF2ihP3nbVnHcVHjLnr/M2FxChn/5XJUwPQ8AR7D8
D3TJEG+6X4ChWMOVgk63aaMnRwzonCSjjTQnmc3aHoINFIsAoc9GxjF6GwCIYN/hix+AaJqJd1KK
oAWHyW5UI4AabMMC8RmfXEJdd2wtHWvjT03TkF+02lKhhz+FW/bgVQdAeUaaJr9eNqaFwWnL8HyT
5ds2mm/rl7edcN+ZOVftgKsI1khuFBdo6G+3skT/u5nSl0uk/J/lJVisKgNwtW0IqiJ0wVkHIfVo
Ox7Ep1RdZPpada1Y/Jea6MpBgaOUXRDOmOniScToyvMMreLEB+z8qkzUleMQuwBw6JdPxrKSnaUA
aUqBl8YPXCsFJ5OOX/7NjLQmMrlsCVWp6Ea62uR8sp9Ius0wUyYXcdU3lC7mHd/HOL2XzVvMh1Jf
aTg6NYw6WscoGhiviRLM/kfg7EJJq05nwk+Ofqb+uEmNakhuQklacUMJ3eZsi77KzDrT0aYYJrZP
c5+voCo1sCY+BnaNRf4ijA5aDQwMZt9mKevRIEFAUSgKHQ0cXfxJPKMXxfwVwUjDmwIrRW8yIuqD
q7ZBavxcmQlIaolIZZc+4UNTy3l5Kw5ZQsJHgklf6zT9Dylmx041vFwFWK3Vp3JUkm74NopLTkL5
01+Sw1SMspKUkEjd2H/84ZwG+JW86CwP2ahql/AX0God6RiehoxTD+Cjbsh5LuMpp4vOqqPiDagg
qhpU+GaR+NlMN4HOWO0LJRi2Dy52aemRtsgOtn1774JdxwMlkGb2rmralFWbr2u0UnMi1iuOkbTX
y1ey8nPWdOtFrKPpw/Amp5lFIZk3soGHMAJRhffRJvo5W1Hlrj9ZBM6q6RtZy9scp+G7nvvf2TsH
hpPuSrMgIiEn5DU6DzaWw4mOfCdCHZw8GFGwIBmEqBwTSDhM0gPdWAUdT53F6mWm/gZ59Dhq5/BC
9CmT9NVoSLcZA87Ix8ipk4BnPwHGhbocgfPAal0yRIOO/TTP8mBJ9xWzr4EAc9wPKHJUoWu8dJbf
aCwxbATY/aMlxKCSaUb0fRwQmRcL5uvF4Jt584ix813gXBRjNak7K7h0nDnV13PivqOKSnddk6EA
8J9kjuhGSJTwNRsu8nMAFm2eZz5bJxYyWDkzAPmWMD4704V8uoMer8lXamg+GdIpSCFeDlxTwQX9
8O6LFnvQAGzq4cm+xbHBl29ect470AbJoD2lPPrchf9ngBz5HqYFPi+j+9UcPUUlyk6SR7SSUhDK
So5Sej5svxJdawupGeuHVaBwn5ISLAe+Aef4F3ZAePx1Fijg4x/wXQqaafJvcKfEvCgZdH1xZ2gA
f6tQoHa/ZjN4yUZ37UMDn0oikkxg7QFyEBOFY9xG5mzs2E7Zy1SNPd9tkeZm2hNsU5qqxTJ/GLMQ
8FtdyC6aFiHRE4ZNsf80bHm2BI6B6dXlP9Ydt/1PW5dgVp7uydRYMrJvpBqdGTGBotWEqEnuV6PT
wF/W7KBSEcUCNhyPbQ7tyjUrhdk3OGDe5rItwGw6NfUZUJS8jPJykcvP0mPVjUTDXQbzr+nfmyTU
AEndqcjbSwm/83bTn6p8X4oAlct+9F89JFhUpkpOPO6J7u4ib57iMf8J8GO0cTGsManRHCX9in9X
MvtCrq3EzBBB8VAcvKHJcv3h4ps6msqAH8nqB196X207BVg1H+A9V3+CKjBK3WcGiQKPP1xsOa+K
KXIm2/kkY26GstoLZTTm+Xnc2xiJ2B5IYEkE2yUWRsq5M5RgiDcYoRHrvxhgweVIeRHYy48OCtdE
uKcJ7MFnMpjlRImzva4TxYyktMCL2z5YGDQBd64wBpXb8Mp1jRob92Iazzf1Wwz/35UeG8fyA8p0
9IMe0bAGW1+bKrIiEHAttyQoTG06UW9Ct/fuzV1YagPzxWsZG+VhzlgW2Gb8nM7+dGApTMdWv9ww
Ov5a8XIDSVvcLmn3fX37wNjA0qvssKwGU6MFHsK8gMxDcCStJawIgo0NlqIuoE9KiFhsFAYe13GQ
KgeHK3tSyRormJEI/hzno7AhujcgvNqJDOdFBrNdfuBk6URwbf6CK3bAR1IanobquAuWf508oYyA
YXjgKLQjilrnlcqq6MQg4rgiS8fl2ib9Peh4dM+65JbjtAktTrkC3BWqTDmR1JFkBig2p4bMSzo8
020+RV71MEYJLbrgnCF9A13C6xzQFtTy4+PUaxcK6qamqLOfBySRB/5TM9rOoG36BDP86lPRsBvC
Ha3WMsWbvpgAk4oq9TtjYCFTbw9moMwSCxH13ZgJdNiG8PxSHmQi7IEZIhS4nPOjc8PxbpISenNQ
AadQu18EvQi/TkDpxrpOYegKYq0HPFBeFZfXpRjGyMr1+M6HAaUXCbZKkgFVhpFtfrdXJf2Cg+v9
qHrPOHfK/xzYjphYRzWebi2ZctTCdOTLHEVfB5VkPEyNbAExRL8dvIC2mYiV2Cr2BKtigSGQDsfl
ZiZ4MEL2ve+JylNUDBnylzzd2Pi5hmw/cX9Fj3RtAsl8MpS0ijewVvFk9V+5ehF6FafUQ/egXVzZ
tif6iMKR5qDYIj9ZpGV5YI0j62ZwF/M9SzjilrQmXjqfFfKqnxfOhDi1oOu3fShWFIGtimNmWNTy
2o6PcJZ71sudbN9CvzVNV0IZlJOGc/4+yzByyOV2ddAz580LAC6FAHqOTC9ycxUKTJb8EA2DdfMf
49lUwk7GrKhqZ1+NX3fhg/1L0sUDFtkY94fNY11x1QLrV8uLZjajnNOxKz8x39q7KG0El+fLuvSZ
J+G4CdNVZnR8cip1Js/xdjtTrQRM3kggNFgbfRTRUf2MFSwoK+bi9exHI05KHWCkkgkC7xExLwAm
EPxYXYxK25So63+ScFN+z+yWFwNyyLlI5riI4qBSFzGYlGn23K3pmwVTNVFAZqSQ90hHZUsCE/B4
2BZgKnEIwsAk+lMCor6JotiNWOcrVK4SBa2TomjjCw5vR5inj2VxUGJ7CpIuM1Ncx8X7v2GA3hYM
w5x5VPT5Lu8I3NFoG7PuM1Nbg3l+nl0H3wgt+s6VFrpmJX3L/53FtGsHzjBbkcaXliVPkbDm+MYs
3j4wo8aNjjy5Z++YD8yu6BlErSNoBbnofDNDukOn+0//Y0PiHNyEntQaH1NcKIEy5+BYclEau9j5
5E/M1vKW7cVUA+nPMhdO7lkfaZaJEa0508URsOuNITaqRb2UYBJjbNk2WECQ1ya7totVbVHgMQ6H
wYpVPHAVyiXHYHrKLc6pCatT3+b4oQxJi1f+blBTjNY6qDcJ8MZiT8O2brgr7xXy84KXLccuoVd1
gPCXcd9FhO2iF42wmNm78xpGBdL8MwO5sJ9spXujVxsYwFRgBV8qke3UTZDd0SoX6q+D2dmX0VDs
e/FViHXLrqSkgTtZkbHVBRDLtEzqoWqwsCuHuSTYtBdy3wLKlqudmAxfvJGNaF3UrIuOXR7J7GOg
P9varSfEZOQbuTAuuNU0RRStGuxxZaf1VFmcUX6ERoZ7ybW4rOo+4xRnKuTEr8IbyovXbFSYm7aj
cIbZky4y8WW9/iiGccqaSNeEjCKKybl3mCQAyoSnhb3y3lJONzy6b9AacVEvMUzUACBj5RJqtGyY
27osh4Vg6B05FRt3vT+myZfuokrBHelcAuZTlXnRQFfxIrjOcs/0VNAE+OpFIc6+HSto0P9Hno9r
V2APSc6m8O/Qs45M7VcrOkJuuEBQgN1Iq+b8RvmWbm3iiOzOEqrKfS7mYn5lmNmDeUZcLRRpENA+
v/jOaSFSIynM1vkJc95opy/khwciDNvprrHWAYurc0Bkv3IGIeY5wBGtQjuI+2LOC85iUHOWXVuZ
1AdZPBslQF49EJkuWtALyd3bXYvkYz18v6aV7YuFR28DaNhcf6US+ZsulZ2F65E/Pr9eNfG8wwP1
NpgvDHDBDXmMAQca/Xbn/9VzRtqlsNtW9JpQn+pqxoemGaw0nPOBeL4xTbPuTRWOPOMc7DU2ojn1
/R8d20oQHKDQoXFZ9iVkTCChNZ9udsOwlIYulDBX9TihJiRwvR6eV5vyR8XKPi1XTGLyxNe+5hnl
afjubl9c2Ycrup0eRWK/tzKg2jtQFBkIdRFKHyAg7Ylrog4XOCAPIZEgMZFK4kyECSU8zFxP/KMO
lAM7nkgmWkEuadgwnPFcUZ42FeVd0nblUKBUQly6tyOl2S5vNjzVe3J3o6YSJIrTUqT2sbxahVDf
5GaVbuJmrpo0P1qweQGDzCx0McAZD4iXA5I4HITL+fdkbzhcq512QJxMgCCwtlQVu/SjqeVwa/Ub
zew+J+v1v3lUyc+8mLoVFx7VoQDvfSDTuUN6glEDrt0oXF7DyDUMlK2lFgPBA919Yl71oIl6XgNA
tobCS/kuKyXYy6DpD6wBb4feA+YdSYgfxjR0JJ43qZLa3OVtvlFvhggBqSqsT22QDUNJJ15oil82
zhgXtXE/U+mQVWQCMCzm7IgYRuU/0Td1qOmKLFFhBud+Dvb6cDrWvTHNupyM+HnkHEBMffau3CD3
qNJoFzWlgv+2eHAXSPp7v+qLOrqBulW7qgK4EJkjSGNehAiDlbLjw3yJs814GQL82SaCt+CmrBfX
qAkMbCX7XnZqmljYnyLwqbYREVRoG2OxaaEOJ2jdDKvvATSkRc2GYNYgr/zitkWIDblfPmasMoHb
a9SzCO25XPz0lYqm6OpEUecv4D9JS2gUdMe9NEeQGFK3MZ2+qeuRHAOsRz06BU4Q0MbHaXlGYFeO
h5hUu3shJElE6qDTfk2fpFSl6PtxhbZHLKTuE6DFOS8DGZpz8JCTrGTBwjuZVzbnv41JxMaRvyp6
eRhNP4IKOXtrXTmugsRF8gFjIoEGPQLY1m4vFiFfuVTN4Uw8ThKmIJXh+Lh8Cphi72b46NOVtmFc
kd6Hf+JlyBvBNK7+60AMPiEi5+iNw0swQlZrecYTSHOUXHYCT+wBPoJw33ASOzYHezf5jdqpQb+1
rnqyI4xlZLpRXyMemtqFA2FNtEAof9aAwZBBEB55czJ+1xByxot5BZLshXPD+iPooGUtA85hESIN
oNu3NlD0zwVHuAoZCQKcpFfd079QDL95SOAOj6YcB9TvaQWnrK3GYNDEeFJRzB+J8YEEHbx0KJqL
EgL6sWe9o6WJSk6rWy15SyLLtjoixKsyoGWz34AW590Mpcwr/0wiCkW3MpitCpXpmk3P2vxRHMjz
Pko1/ngw/cjEEb2ApDukDf75OPWBryQs59m3K+Z/2aaxtV/yyMoy6fVuFqtr6TrWxXXGK5kn24C9
RQrbodm/VU6cCqPkTgjTgzeyv22OF8QvuQnPX+4BzThpTNkuaNbP75WGaMWTwaNZGVbUIE151p0H
PddTG7wQ7lW8g0GeivokyEPkndRA8Uv5H9SN+okihBqDl3qz+UyJ7I72IiUCKQv96FElXWwUe2vK
hKVVy6v9eP49zfUIwzYowmQIt8dYq+aEaHb8IHmeCim3L6LFZUirGhejg6gQ47ySDXmi1g4VNfGK
GAsZ68KIoEAWOzW8YgdNJ9801n1xnQQZzzU7sEtOzWVsu961xI/HlHhyp6wi6+pvrwcaOeryxNvy
OdJJ8LUo+5StMDymAWDunFmlhhrJcYb959Nr5OzBebCEEDcmfwLbOzFwnQ8K0aYhoDl12tf0O0DU
ewPf70ee8/R5OEDFrirw/Sv534kra2DBDVd5c6lC0HktMxzRueZ7Xlk7xzCQa0NTvWDuD0F8YeWO
KL3ID4gE+tDGTqEWs0oC7OyZaobZmpHg85A1LCHJkq79QFK2iUpeszfywpNAWiaKxbvCFeMXbwkb
EfssB5iuB2lJsh2L7315BBTbRUX7BdpWQ2hDyjZmb1MeTyWkhOZB5ljnnmulS3tjhH//C1TNNBjF
8skK1y6Qv/oEBd37WbtansyU7CoPebN89q5Rh9hSPR53CXfQm1PWYhidrCJSkauQ5yN0szoq4Xf/
z9msaa47E0KVgOyuwRbupecl5tKONDxrpz4E7BUHi6VgxiT3HXY7fkHYr3hW0JNI67Jl8wbn1mVU
aTrtECNVy1yI6npk5QOSSpk3NwYmbgYGzBXVZPZUfD0Rrhxk67SYLTyiQ9cMyXp+CclUtl00hgOo
sMhLCekazlDMkDMHChF+9qPoCN3cxpfsYF+1XAUd+nSv5g6hRXuETZSrFWyhq3gASDD6mG0hZSVm
cUUHBQoTtq+f7zJI4DARiR9IaEOdHl2WyfjeDhpMdzXqk9R4aT5g62xPlHYQK+n+Eo8irsGU4LCo
4ht1qTY6ZSV5I6syKjJrt3HD+WWQ7KLir0jWT17NsUhVzWtC/Z5R6FKT2DRtezwBO0LfKpxcoEc8
q4xNA8xbZQyOq50rXEcABIhStuLLW9SafOzbedJlSg8kbYbTx86L9O4D+q5yA3QfLV0/XQ1DJRdH
18mleqSz2jjgGteyf75mj7a3liZxbwbG+ac75nSc+4oKkM4kESs414wbZ+ZBTaUQ42ZH70UGAJVe
R+m3oHJHVIOMwrLQSXMb8hJ0oLknKHK0e/Is5eBJ9L6RytfnVuwg/kRdZuNGst2+L5uTk8t29Q8c
npiiupa017w2Nm3y7jvcON7IwLHYFAgABw/o0zc1u7CDZTMmJ07vjcdvnS+pRlLrPy41bkepxdBk
OPXIW1GjOIQ+KKhELbhDN4YOlOca3Xx55o32y6LlUEv+kC2xqbxWiiR07hpWsGka3gjZjxKAXs9K
gA6NT/LLosNK/H0yuimNLuj8IRfO7ClzpDNN5Dc37w8CZa4c4sy+qKklKldOQMtkOmUSY3Pjttsl
ULUI2EBWkU/bAbp3sl9scuRPFEArinvgZ377Kw8ERl9zjcO0tv4C1GVLsBVcI0JMspHnsjkZCyx3
HD2/00ZOWerHx/olnVAjt5J0A33NTSFTyTnNJLMQYljfipOdZ4HDJYca1EnYeCj8kzZ69tcYjRGP
Ka2CcrcTWN5Va2aOUWEM7nbNNhZhh0RZod0/XcBwDGzPqnNinRSqCaouKY2Bd4d7Mh64GTF6+XTf
LNP1c3lmRVUMAVNDUOME4WqRrFxtyKimAoJqnTIsPBgnpN3gdHNIFuAp11hM+GfSSJtJuAppXkvY
VMXFBVAHrB0Qpk0+tj1qA/iJI3gQFdQ9VPQKOg69cuCo0+vTDnBfMLOq8zjq2rHKcmY5mfym/+6D
8+nQHk0ds8KiRAQp/VrtZ2EabPGcxGsaEbbI3GziN9ZJhelONEKXUuJ3djzlajzspQ1aj2pwxC4U
gC2VaHUTl3/GIPEMqb7kA3y2BFcfWNw0YqizczqFSR2kHnuuSQFJ0q7HHmGXSbz057O16v8jnIIa
2FGqqLS+nW6EBlESSpTezujhW1GVY2LzEE3htrAFmFYyAHWSL79zo2XRfhloBZ5EkmhtErlsQ6f9
viE5BRLPkyHkN9fWsAl265wpK+N1tzHwzWpqL/W+FCaezfqKAxRm6VZz/SRpVibs8DJunX229hMY
t+BfdjLP3roDn4b/xvEyKJikfYuUkTy8CJfl3TmD1W6VFIY4CYlLt1euBCz3NCTeDiK4UPCXzkwn
OrqoTZLscOW7KgbFR6ROiRCQvWOLHJIXKfS8WZr1M9SbRiCVBy1FQXyFz86mFMSxc4WXdq2As4T4
PJ2h1XjMWam8AppLo+ROW+L+pokb55VJ2iA8umJbnTZ99C97qE9u6NQZ+JI5rvG/4JEmtK1i1fiv
OT9hUhN8vYhnaof6PIpt9BKRiAV5brwFZt2vjvt/1yIuVlXOxNKL1NI/yT7odgUp1odFLaULLD2J
N4msX0MRNK5sVrr2etmpXPXuKoA1VRV1a4G3yGKxSpht2+o4/QaGBet+fzTX241DbAwexeFRg6Hm
fQseYHQ0es0yCwpmJwAuqxi811JzvlmLu5ZSGMSD3oskkpnZuB2viIpl9c2j0doNYIIJzWdhzTx+
ksHwpUgwCua0xO0h37v3GLcFfqNfKCUk4QXIxPu4JZypsInUBxH0FiteOJGEM8+Gx7emUC4lSuNH
8nS6B4JfjK4L54a7zqhxVQ8Fwh8vFlVplgtiv5C4SjHubWknTc3qHbRGhykymETkigtuNRQkFdY5
rYOQWSA751aRbXmgWjqDbiUM9/WW4wHUe4rsNeJNcdcYndQk7KvpCJqBzodx5TGApbySHGZC1XZ7
QYdzRd+zJv3yhaLiDxXT7zpy3O2xEGJcYDrjTSIQyzGy+PnsDCKolz/ZRi3NOSMXvdBI9Nx7W54N
SAMJmj5+gEYxANvMwZg8jxktfzm6XpSYKMi2a61vAmKm0o8sMZgf8IILmO1SDldMakaUeEX3n+08
EUB/Sd4sG6emzw+2te8h8NytcOeovYVMBTkmNIa7gv+Pnib7e+OKu5FELXvNtzxGzXKHxLknmXjW
oyd3NkUHgiH8lO9WQnI8mkJQJrhURJbd+jejxDKmAZUbe6Mf/FxQxjfW0e7k4KDKMyGx2zOOayw+
LKd9aEtuT39M+IbopaTc36pmugESSQwTuKTc9yI335t8L2jJqJ/GU3VkRyptk9bKPowqmtPoQ8aL
L7jKSPEvSjfoGITPk/DAnif7mKxBGvZpzZxgL6lKFI8/cOo+1pS3vZD6l8H7jtHPRFeWkRGI8KOw
l5wrVC4ekK/fVDJTVzcf5nHDLGzaVQJHslktqsiD0oWw8iQPaoUC510v8cAXZGufOs1JnpM+1Olm
LtaEJLOhOo6AJ2sHcW1cSUDesqS2aFeQuhMmnEhHAbkrGes7RQsH0r8BtKSG/A0Dczq5I/DkCnhC
aG0O3T0niy0nAtlMRMJCekx2pCc5eqHFsziaEZQKGNTCfd04qZ5F5fVIrgPTOhJnYW/Ppm/RF28S
ofyZp8ozso9KM0NwSSyw8Ep4Mn0q2YF5fI1/j0shOQL5Tzf0yPkhQHQWEX60kVKOE+m89J/9qo/4
/6Ve0VHfzeNYBe4FTtGc0aY8G/XIEBpPTZDMe3aMGeco+cUy9Xap9uYCJ29D9mH8oX3SdgOqq55y
vgC9mhop8/h8avtVtEv/0XoAt2pVWWQHE3l1drfynPekg7P8rrBCswkBuvaDPw7gtggg50jrntgT
69u7Mn4dYJNIZrhk0Gd4LgOuje48c/0e37PO8k+EkW+C6GcnbLfhGgb6QV20ehZhPChutPff8ohn
FA0zQKV6s0jYsI0qrLY70CHUO2KMBySWZcjegmOFcMxW3pMfiAPCnGVUzcE/p5KvCWj3MPfhPtyh
dWQX1xZhObZmvuYmGNFSE8nfkomD3N5iDNAnc0x1QjPZWaaGuOcV7TQYA2NyBMuPmhglV1aCDpDF
gbd2S+BPsXmDxQroGC0yCeFW4rsXmk0vK5j3I0ju3uxqD51Ulz/4ISMGE1mfq52H0h0nPRnbUf/d
fnVRxg9XlRiAU9l7uDuW2VhRp5cDhaF8mbXi++rr05OBejhSt4+cV0Qgi7g/jCMMsNYo+zC148n3
8rhTwG1tObpgTN619glthyFYs8bkXxXYPFkb3BKP2g3eq0goBDtcCDPFGAnBlCvCjd7sRsl4mnLl
y9YQdaNxOKbFbIEmN4shb7GwWosFA23Kz78rwk6KRrqvMxCN1N/gBGbL+/3AS87pGtBs02xYQCWd
eKhaEY4oH7uIrmfS1PqHzTty0yiHYaAZFWSxTno9iJjHm/g0D3hvCIF3e+un3Bj3r4TA2rKDow0K
4Zk1IU71fyeZzjXQpQV05mL0WitpmuATR2cizXQUgcFy9VSaXzbc97rtIZvFXB2u8bGDLc715Lxh
wCNCTTBgRCTuiS4CuKjCqiHgEY1R17zI1eV5aVPhJhus3HmCzFfCu/Ptzei3fP6Ri/aZK1E7eTVQ
oYWOXYoyNAZdAqE3VEFEXW7mjoOvNMrxcZNoJ+lmVolfQXaEMts3ToSvApc2WlA5rNGFFUdKiXyZ
k0jDpcLpv+myYep5r5Fjn7F2wbmdyvTdY2Jz6XdtQTtN/7wnNbLO79aLyzUcdRmRG8NU0Zgr9KGU
RTRNcChoknGL9SEW0VC7S24pWcRFeKgyaksiT9h7JGMw5CzrbKwXY46xVisOgAAgp4zXx0lapXXV
2KK7ncvZ6G/UzLOGgc1yBTT0KAtzgcRBiUUU1WpI7g55W6Vy5AR21Ww0Ab4PwErEHskYGd2dCJbo
+5mjXkZgNVn/nzRWiu3EyrkUaw8tWQrI+x6pI4LE7Xd6LjL91I7BWtROfWRrK1Q+KczpJpUOzpzs
i4IWYoAku4zskfAYn4biLkWXMo9ttrnZcTaVrKZvwlVQtIs2x9sCa5MNt8IYjz+GDTRgDDFi+506
jwpo8XyTV5MdeVdeYNSI7GarvTiktlBkkVW6V7uzXi/nCf98f6IXjjB3tY5eOx9ZKJqpvdsNZgW1
dCzMffZ0/lweLYbyMf/Y5b0LvALYKXv4N9ZMp06NEtbEx8GaYZXJ0CeQw7SapExelr5eUIRt/rhZ
J+CH/GB0QLum2w5zm6UouY3AF6t5JmGQYhAkb0Si3+MQig4DQq9oWzUgZq6/WuXtxlI9eKOI6e23
+dNUHUrLX1JeTjgDdBi7hJJVqz9RHglERmXR0i1lAJOi5Y3wXYJ5t89qeXwOSqsXSGb0/2qlvMUx
fpNRnPzXM7V2AJo5ItXaCi2oRqndHd2PMLgFuM86is5pVM0aSdOj3auPRJhuYuGonTkPQOeOtBeg
6QCwb2ssXyfFg7en/zCjlqF0DH5uEI+RZrEO/hziZ6gCUhH4Gzzi6nLChimNPz1OgRgtqa9Fpr+0
0LoGdqR96cctEfgOMW6ib6NfI31hu5BMisq38YSQUwdqlHAlpBxKksubxpc02cQSljQy7bVqwxkV
7hlEGYZdzdO0u1Kg9SSiDyrYSyomdBWI5D7njt3PWGH9L239v9NFZUxuWxKqfRkWHdYuVcDAl+ef
lpkFKnO3hl0G4zQtHfVzLneOgTGXDbc8sFx3kScAxHQ0fB5unx4m19LZdE+YfM+TFBJ0ZvyHzJwU
IgwyhIpik2n0qwTsitSwxlCMtc63rFRotTyAvhF0GZXF4JvyTOPbzb1ttJcgeAmhsTi0X2i/UCkd
bmIiVaCv4ZLw61qEju9aBEKWjiKt1pQMTb9Gd9nKbfXUFONjQXTc8daOzvZF5Sk/fUYmE+ocI3ge
uw9J/krTTpHB0c2cFCpl19sLE2UB8jS2b6WPiamnTcQ18sanrDnZDZWaqV0S8LowfpEPHgURwtNM
tW6jkbAfuQbXy9BxYnTmi9cTGageCKgsgX/hR3Kwa24Z8QTe0LPMW/NQMG1wzwKa/V8uwshc25nH
ZoI+1RrVhw+3C0xqwloRNtWN5WEJmKcM79BLGwdOwFRooK9CofbNNSH+0/S5zBUh2DHXvppGNRez
YCv2cnW53bDRCT1lpo5wvDeAWb8zhUpR9Dmr5Ezfjte4yUdLDHU6Aprsgw8yvlHHbLkBAi/JuT/0
eFrlt/G0J095X1YXwCH3LOImtxs8otl+zvlQzIli7vhb1ohx2Fy0YcxxcT8y2wxm8BZD6+AFG8xQ
zRgixOxKRpFFn75YS1+Pc83W9A74Dubnyvl11N9BGUPjXkinr5k13I9OyEV85tyGrzzE2vustfsJ
M0pjsMP/cQp9xtEaczaFcsjJJBtPNVq207NG/VrynZG1gkXkSv3XVufHwqBTb89GRKTiI3b5qxYt
3ZPoYotz2cr5ldamEqzhVPulPFMKFIqBs6GnLh1JgOuRpOOX+t4xo8bg+qkXzLNikZkGj6GB6Dam
bRzPTTxFTYRGj72u6ToXPn+wsPdd6EZGazUaQPju4pPe19p3qaZRM9O//eDbASIm6ekCpPy2Efzr
MzO6YY91uZRc5FV3JqHqJwRu7SIJt520CfCikt1f+aBITXoQWs7rz2KzS+KaJduObDE3D3PZbY9i
ybljdx1m9qjj2EsNf5PPBwMRpngPRLXWC4BdYjxXyE4HXDoh8M+EcqIJsUhE3UPDfAskF2YOrIdc
3fbCpUAUqFwngwD+rLV2u73OlHysxXSVGStB0rT4Tucn+C+2wvDmfpOrPECX3vOrpsJaQC4YeCSd
UUDbxUs5QOHWz9W4V5NzcW+RB+UcrcfzFrwW5ULoxNJ4N0aoWwt1dzDbbJ8e1EDT/9DqhUtP1Nu9
Jdf4q+xxuXdbJaGDrlyTRUk5ayLJVz/V1+z89gGPO5ar8Ts2orfS/YvWmX19/ls1SVhPfhU1v7i8
HS5oegej6caIFr7Z/W1Om1SvjdIsvnZeJHpU6TA6D9ENkxBxuftxGxosFp1uJPArkCWvqmWJFGD5
BExPGkllWEdNp0EQQTpGe8ceeeSVF1eC6Vu9WwSvvUh9WAbLa3IKaFuvjpWERI66HzPPYddU89xI
3J7cmB7p8IV6FvXurl5q0VS5XPF4EWJ//8+PzN9DnNhj/ClxiKFvhRNzW2OA4j48opLvKLea7IDs
mnb+7m+E0VhyyYNIQZtsnW2xlu1ujM3pPgfyvJVeQNTlzu4rzNQGL7GD/dhPQQxrV98/dWhNvkzH
5Cwg/Xn6Q+KFnfoQxC2loupNV+qc16KKP0xaCyY7hMtBMbGlUdGB6FyQHJffqQ5BpQPr630FoygU
RM+Ru1Nr6fdR2KumVrVQUmk6qkKvf9PAvoPyGULGisTytwhhHwzV/B9vfMoYE9ybaLxEZRiAavII
9seBPfJTcqWSASU04fyz85hJPXK3E40BZdJlZwkbkekqHLO1jBbpwWGEsnsyUUnVcZceJUAgf9ku
BdPytze+OeZEyEBsiOtQQzoazyd9GgvIAcjFIwEMM45ptPhagDntFmj3Ek4JI7DdrjIF5vP5yOsI
2BF2K+X47GkRk3rycqQtmcznQbEGkeCGokcecb1yGsPOPeSQ9dHN5XJociysHf9IJGwmc5MHRnDd
u1Y5QImo/fLo0vyvR0fTBDDzvBEUYyh0rP9RXdkCh6x/qTPrlg+ztwJIXrWOioPB2xgLN5jTq754
tUOCF8a5gXHQ8lUJxDl8dMTDq9ojLRq6dKY3Auz7oIoFeiTVfMYuaD+IWxOLM/hfCqA+6aPdfESg
W3SxXj27Sv9NozJ6kVWIrPyVBudpIZRvA8HLXxHv5qxUE/B0+VQ/RONDluVng5NbhlIuhc2MRAf6
MPDcbNO7Za3gV0Ea4cbXe6fCnfkZdU0kPb6DQfPUgDTQCiEsFsLtiD0kDhxUNLJW209SFDIk1hDZ
8Bc97yfktWZRd0ecym/ekv2EOJfT1UA+7K6Q85xxxu8TTJ7zYX/36wqi/9fUDti/H947z9FuYwWF
mq/iUmu9J7AoFIga9MWESa0ZIXJ2uINEOrydxQ1zLwUgsNYYKW/0yhMtZ9O4Xb+sJSwAhSOVDpJB
hCnHdCKpI+V6JYAeb/CgYm5X6vLTb++fCqbG10aEgxr7dPb08XYPuohmg9Luq1CsN0gsNVeFohnD
D6wB2KGjTE0S5hxwL53HH655rPe+t506XcEL/LJuJVHcwMpjykGhx/GIQRKymj+dnPBvHqTA6dud
toZQ0auHFJ/s/EI+xUWjwSBioHrewRD71tSU86ZN7NdfmAfN8wsofRS5qlSq88E4a8/70RDpAZjO
VBwbVU7h8tAbdv25tYuLya7C/mD9X8Qr4iLG/3nek2wZ4pi1swQWsbht6aGC3ptKZ53m5QvSh3jJ
q/r0F19OmwLE8gw3+DwWYQCSjpeQYogDqYoz6iaA9XiGsq2zN3MeAGmvWWTUjtDidjuVg2yN4/uC
gspekFv9wWIX9bl/+aA1xep95Xzo+Kfxw16gFZ8QBXlN4Z6tvDdDMO1/VJ1G7udJ3U9xavp3dqtr
FyxbfhOcqeChLnI4InOKuIwpCqF7vSNEt8J/2sIeCQmrDW6mYBy2Vr5vehZJOrVzVuHr+GM0SWxa
EfAu1YoQB48Cg5L1dEHMXqaf/7+3mz6DUdLbutTYC4xeVrcNNVaUMAozm2B+Dox3b4DU6ZfSALA4
vIbcuiybApnFiN6aBjejV1Scrl1nY9lEIXkN6axj8eIHLv7Q5nra7FjbWhqnq0a9hndInrW4vEAW
A50IZQauSYhk/7ciz8LM5uUCk234Q6IgCjdTNm9AecdHtFSC1x41zaZguy43imMnnvFVq3Uh6uF3
u1TVKGzBZZ+nfSbAX6pY+4zf9FqswaHUIqmXA75yDLwk5XaHEFdU36HhE0Xm7rw17+uTzKk+hcq+
+b5GaiH8s74A8vLb+GK9gcpdHDqxfkcTdrXiTZ3sWXh30YSG9cPJJsTH20ksDXarFczXrQE0/NCN
DzUsimCVlxysYNBXQSZjiuig8oyu1ImkxYUxg/YvR9TbnT1ai8ctMQ3farTJfGXKrXZY/F4xvHPp
RrTK2bYInU9kZ6m1jcOU6xOwaR9tiTjF0sW32cFhw3fLjBcZ216q5qXMtS1ZCkz2hxpSrO7D+ycd
LHHa6B7lTu5xIpYb+k44QJ/ALx3raBVVZHdCdFepvlpKbWRzVit8z63/8D4EUPMy+dCKatVTw4aB
U9O0TFEIaN7XDt4LIH2dD9aYdja1pelw2BzTDDsk8TZnVk1lCP8a/bTN36TRXcihj8H4Lyvrn7vz
N0mg1DPUQdWmV5IXYA6JJaaQSofbaxHJQgAVi4ZQ54oOozNynyvXvoOgUsicWAAP9wqGQOb+duNZ
DxlDXI2NA/Yo4ZF4OHfRpHLaSqd7FwcRc1cUAhx0ZZk2sULrY592dT1K9qAQPftqHkIjS1vJ1tEU
xxXnXMz2BxOqX5lk5hXBtriqbkZaM8nwpca+cHnAIFD3MCE1WClKQfXHIb2PgGEKO8/ki5hXgbl9
qfXTOj9r91dxUqwLxwE4oSx0NujvYAHXoi04dlMXUtdDU1Pjm4exj0tXUWzX3WIsuLyoK5WYEEA4
tYnQFdGqsiXPiWoHxQuoQHdPxZ1/xqv9OC9jN/Cko3Kkxu7B/8RSYcNJiqjMwACzo1SbUOUXnyod
QHP54k1VSKFXAxl13nxOPrxwOaMix6KxuhWqnqbJ2DAY+FGeQ27yDsyWi4n8VWbLHqs2awb7Bdmd
V4P/bqqQgiB5r9Zmb81JIeK1j6uO7UZJteWQSg8ft6WyV1YKovrlV1M6yZJTHbRb33pXUnxZ/Ebx
5tTDF3JrKHSp1wWGRYFxlIjlvpuy9XiaLWDjc1BRywPkr4zLLsOc6qLxRASp09VZrF7vkI9ckWTp
16T4uFlDz15uLoQ0JVIo6DvDCHocBxQgGgdm2HcASA5+iw0FGMPTc9ZS7r2NxjzRJ6P0PGyl5oOB
D/c7sqw9La1jOaNkwzMOo4XTWo6cVqY8clqcF2uODZDvAYmOSJm/Nv12O7K3+cct/VPpl0eQ75zQ
ohfrnyEiHA1PaOtOKr0PB4pd0Vfcb2FdHVx4nNSXVfwIgrYBVQZ67qKI+zAX5Hpt/60xL4hvTWfd
6WHXJuUz3FvSx8WU6va8HgObhzlRUlteIVFYm0QZ03FRPCRT/eHn49p1U1HNRxoNBw931GOMSZDl
odZZhheC+QKjMoTfQB/M+AZzUVl8zeduyjImZeG+twrgVbBPnf0t3z1ZIfm2xE0OkE3O9cT2KoM7
Dqo203wgs21tVIkIYMV5j1jb1RdOVKKJSVpQt+b6E/pm7MlPYpJR22rS7N+mk4bMOH1m5rl5qmCW
OAibaBxRdmhdblKxXO1Dj9jJdDDzmrfKMClt+3EIDJJeUbCt+T88l3hQc5D31alSkYR6HoDfW/7b
DCEp/KhOVrqdtyUlVBLwoUhuj78US5A6qfz3Pv4MndiZxmWF8C9T1qIajlY9zXxBUFmsyBbffjI7
/dmK+pOiPjPzXMY6rxilQa0jgZ+0DNcZ/eCkTQnbZWSRtEb5wN+spo0Awz88znaH02hh/ipGCkaU
wGJrBqN3H/8/ajMhXQAfY8gyrv1oJLJk0rzm0+9EAxB82IWxGKq569CIRK8mdAHiTQKO4bowRTtS
14Fi8jZEXNzauxQsB7OisNayxe5uNelYxrEjVqMhMaU0p/ReEUdcY1L8yjssT3KhTHmrQu8K/tde
RR36t507TxrM9+3xXERUR7Nv2LkcmnuT7Aa0oklNUsE6BR//7XF+qDlv8dREerhoxbZtLoZQgz9t
cWsk+7HaXFrvhDtO3zu8lwxwcWniAsJRF4m0YWr6s6buty/LN8z3bpjiRXEkik380diN1QJFNu5U
3zA4LQe3JzJg8yDqRmJbmm6mY0alpr7gxv5Y8X2dM4VOtpBa+O/i7ku8gbWLyWKdJujLswUGnRmz
WMfI92ThrVV12U2uISUpc/VSJ+QxZJpxQvwbQsxQ4XCcxsNcibXNrVJd4j7lv3ssxqcRNafrfQbP
fv4DJkUZ7MAdfmeiofgJi1Eq+5fkRZZTMnmC4Tv8Cp7WDjxXS0qPdX7qc5DMm1ymaHV/nO/iYLQS
Z2xHITq9x0BKt/JAww4mBMvp7ALUfv2SKfNhsYjU7UkPuAoZ7JOJbQ14N1FhzKrBuOAveFObS/BO
GlO0B5I7p3zDZT1yOylwOn7vHQwtu6jDkVh41cy+UddPso/tQyyTKTYJagMfWsgmo/JJPeQVOGMm
gYdT0W3rlECF8TnR9Vf3rbQ3YLqcW3Q2CTNjozSvew94XETbw7XtECIaAqKh0R1LsBP5izuaejkj
9PDLwfps0i/5Dach7LB/fskTYs+5gVaOAmOBPSdR4UfuArrmv9+x53kakUTC9yL2t/pUqm6NMcEQ
22i1rx92yiAUwm3W0wNVvkNITaNpEGs2kiBN3W6az2sHNO3oxOoW2QOPpnsyiJQLOrQ3U0aEfeqA
lWsJ9M7GOuR3K2qz32OeeCQeOE61WMU4lV9ZFIcjzI6kameT8FDx7OUyu9BI7wKFSRAnsIjD89gi
hUuRWcFiS070c45QuJi6DEeDP9m/hg4pK2JY2brUaFrKRJhVtLxI5jk9U+ZdzPYTmpyjiGjSROa6
gF4zepnXHDvzMrzjnnadT4Zxd/C3HucVZkFiocg1e6MAH8QvMn017Tli7vHqm6dwue1H5tNpCm5s
9o047CGomP+7ksKuYDoW2mE74ryjza9kuHZePQjOVcCctKhS29UoeMpi7RY8MKhLT19zo88Xrh/i
QGDWqO6xFrqj9Dxjrx1XwWGuRnHoZCXQw0MzvIEf3m6H0Dz5NIj5MP7+iH46FD9T4bASIXJZxRRx
XxI6GiyQnlH63Vn0P+oAsi+Y6fLda1j1xxH9VaIeqDuwZc2KxQVkqkAiqv2V9fy8dMD5PBcZBU+j
AUEPKc5py6V+/Ldkf37PaZnMh7NLvyWrvL170avhNfNkruOfMK2Z5cpr0syhmWx3ewnZzRJInkvs
m8pv9qsjCB2S8ZBjNP3NWIQgGyIJkPiBcjaZiCdYT9ugBYujfl5aLAMuP/YSYrJalHwceTwSA//U
LRorki4LPhNkhOt3i6t26Aslcv3H/yVFpqCI5TylDERMnUH9HjE4OP8JFQNqjcEDnAIm/nBPC/+l
TcBQhexosc9NgRmO3MgqUuBx67iCIDLR8X1DLr55RjOIqtm1tEenv8pHLO/QFXeHe7tih5ZstoaP
eTg+/SbdR0yQ59kiPe+X16auT25LUMHB4dn/5p57wnkS+5xBYZ0XJjAM64M6yKNxdAtd8xoKDcL7
1o/l0ruHGccOo4XYCpADS2Ara3fA8T8f/M+2TO9MW92alI4j2WD3BkTHZrPUBbRDIL5DDVY5dgb9
w26zyLUh7jn8Hi79UJFi7FeSh3bG7XBHTlx7NwCUB+945x2293+K01yFXvMUm3nyx1z1uFCQjYqP
AOhoxePt6WNmpA01UNWy6bE2hC92v/kvV2E4PAPijeFiFSLTHbDX6WHs1HyjtF/KeLwrXv6whhaV
LyfMaL3Tu2PbeWAW76j+tLEFXFZVfO5aAhX6eRKwrFHQKr3JhIvQKkZZ52tIDbSDTYHKtAZ/Vg0v
A/vDEKPYMvcq01afzLviU66917Lp9VlMsCAfHsWwgBE0AiUN9PCmcyboDOYXejZb6HFrem7pPPhG
chJk5J92d0blO4yIkNJ6Ncay5s8GWjD27cS2A9zkPcGeE3+WUhFepaF2+G0QLCnVS4k31Y558huF
JlOalYoOfUMtNioUU+jthdHajaKcJQNK3SbZLKRe9FRFMiqE32ZorMuTfqhN+Ud+MFJHOoAIl7HW
hsMxAh1VXfq/l8PcH1oLMsjnC1VzLfET/uAD8FBNWwxCF96LztZKj0ZLpapipYBsZDHJknraQHBE
1Y8bWmfNnXYFmGeCi5MYxAbQZbN2UDObHB2VWyyveewktT4Q9HTaLCvR1I0aelpZ/u+zUtv1/e4s
ET2tVVw3L/Z770STiEBcsGt2lE0O9SbziwNqnj1nNwepkhhmSrvQB4JwFzMhujJhj23W99uYwH6g
H1sKu1qIP/nBkpZZVDArW4P/2DKx6Y713BCBUhOwnrs2sPF76IK0kOT2UArVKIdwhw1O2XhjkKqQ
KhQ181VKgyYCxriL+j9oK9cDbl+NknzCgpgum4+78/tfjsfXkxq3Egt5pCcJnjG0NakxinKFl8lm
D8U6xNd/8e9y8yWuTzSt7u5geZmSN/AD7lBNh0t0wwaV4L5ci733ezY5pn+GDOWJMkemHDiJkXKX
gpZ3c9axjHrJuID2QBP8p/ZXDh6ox94sW9XKuzq313Y5ABOpDuhx1OMte/OFQbFyg0PiQKIVar6i
8yS4YhnuTG15jEyoPgswV5RrlQfIW8NZP+j2xHpPJsl1Wged/FTP+wk5u/MSTOZ82/7CUoIEegS6
L/14dXuA9eUctH6HW8AkMMeTDYb+9gAz7c+b/PssEeIut1Z2VFfOND+lQeR1M2zKf6DLupgSQtXw
mfv3lnoj9pIO8BqWtWUAjR+wfmIfJgSW+BTwlZ9mlIsqXHkl6yTy0Atd9mW6BzK7yCaPhmfVMvpv
r/av7SPhx37kixtKhmwQEjUp9ShzTrjw009tyteDF9dC2lp6Yj07R0JVSU8KBw633F026dSKSgfD
w1+FEv0I0WwaB/A8RAAU6tc3IofLM76qi3FOw5xoUkOOFsIBo6BxWy9UK8iXO4Kc0LrlzRYudq0Y
ZmYmKC/vMr10jgOrepWtTBzQPr/lbPzsHR/+shvAL7+DfSHdXJ1xtZlHmvFUER3zL/j5omAnTYs4
AEQnwX+6YpD9VsoHe5p1OwfTWq07iuYovqIdCiinZ/87Zy8H3HWrk1Jl1U1jhOVE3utAeXuz37Sm
jqd7HsRt3Q/Rc6LP86Fm0/SskShvexlemZqFph2q4XLAsQtWRUYtPl+w3OBt/jQJ6XatdjjYjTtK
MvjK8n9JfVOeTUctMk46SmQ3sNcc7nuGxZLqEVb4KQ8rj/Xu0QUOCdYBjEIP+VpaEgs5RgEDjZ/I
Dlr4NXpWwuLdeFbghwdL/3kcW7JyARcbSzXnqkmJRQbP1g+WRkpCSOrOwbDSfBns9+KOLBs4qTF/
OjXJvoOoqk8gu0K8Yii2Cq7E05wgM6Lkw/jQ0HqTZAEB7rkg+med4ZHV4of63lVWWt8MveGPR9oV
z9lrwolxZ0p77NvpaEEkXtgaILs/jqy/e9JtiGMnSLLtj5kNt7Otuy+pap3y7jh9+zf/3OG/8u/M
YK/RokDd9O0yVha0JDK9zi79S2rODJjCYAwys6YTNpCDPHlghFo+c6dWBVJOI0/aSKFlRNIuU7Rz
13wlieiCMRvds+BqX9kfAr1sVaYo7TjJRtASq6wiagPQI4MdGbHR+02NOqu1UOcDZDTdqF1fxpqj
xYPhaYy8ca8KVNoKLEUflZr5d2ZlD5Fc1RHjQhFRon5AYlI8fI1IswpVoJWVOU9u/NRQIDXyGU1D
SAR3fM9jhXhDpVmoJNc/5mhwLMvRA07Pj1F4sp4SyczG1cIjBGOFf2/lLQRIVmYjmgZpdWXvAwz1
OnMyc0W1akNQmZxVN2nHyaBvLQ8TWfos4K4NclXCfF1q+bK227xX2YSRZGfieXw9HpvBhFzkhus4
kjwctPlYD+KAiu1u8tkbdQ9nCMm5lZ7cpdHFP46s4Ks+/a9YxII1ZlH+CP1IYKJxBkhDGg8JQt5d
WbPC8QInAA4VwXsvsdhIMO9Z2y4Dgcx+z2zBKwnQ5aaSK6G3fiwgn9AJdYE7BqVIiWC3ZmAeo9QM
FnsUHjd160TFrmefF1M/0teTMMH53dpwh3qUGQmfo0Hb+Xxo62Y4TdDa65GE8B3cMwsfxAFpLv5f
ipSLY2A8c2ySWAoQBo188EkS4dNUQoU/6f5DuhkSwPMhJW4VJiKD3xZzdUR32IcfkmtXGtx9FqMj
bXIuWYQ+/bPF0tyqDQdDOyifmJkC49v1DpgPfybxriQA6OBivoVA/iIwUag3iTtPCCukV3/zQGf1
RzG0k6FKN5RrA3L1E+iZaQuqEu40lZXPvNlCJHZCoS1eE35C72IxTtNynbsasDYBHS3XNHA5wv/1
u/JONbKm9eEICB7tnyDKu5O74CmNUCogKFS3/D8WQr73nyAM6h+8UIAAqeMN3A3lJl53r7n7usb0
QgYmPAyAaBQ43SaodppcPZ3BWghP5QIXaD/NY8GEmstSnfXhgnTYk5y+gi84A5TCyzSjk6kC0JU7
6h0lKsizgYt3MNPyXbpMvuA067ODgyZdoxWvYFKs63Hr5C2yIugcw/CuXLktpI/upF5qbnjaY3PT
xwpGCFwHddOUQzMi3LYY7wZsPnqH+kWM93deFf/2QtUeWr+iKV5fzBqNRVSuvUwmPYLaSzjC6qnh
vZWulbdnjt1th6yrsh4zt/XTvXi1hD46jzT2QMMVszYmf/1xrpeLN6UIZj09bH+prE3rxEjeqQzR
qPPWNfRj0kPRO/kGIrL2wPNkwMaGoFcn4QgaQSCxPBmbl0ESOrdDbKX7gTWKtx9oM8N3GuDWMqCT
LXkh2LvDck9dPWhnFaXSwZMKayJErPm6hI4oz4gkRF1fq1DkfduHWFZWGMqOrRuNXXcVGaMeYfgP
Xqo5zju5jVXUHA4hvkibXObRUJlZYm5bVa/YrjDynj5CCdzwAdXYyxhObTu0n14ceZMBc7q94jv2
twv9WqtfaoMgcXyI0HIcKyfkrePXWdxA2KevbhU9SB2OBCiBCr4GmHIM7u5vwL5GzTMcindkkf/f
KkDhrcPSjgyIz9QxJzROj/wnxyj/He0yC/xNd26zoF7yqTsAa52oaOBl2vrGOsFOylTi5/QDorTh
KyHNDUboZ0sZnsSysO+VPfutKeNqqke5K9aWig5pvThmRgoaycPf++pGE79X6tK66LSjCa4NJuDT
ZhyRnxnxsvBqb3XuEpzlVZnGwsXpCxAG563yVc5dp8IYLovXvK8T2pk/evuzS6SCXM0UaQQO3TDO
gXvGSJPUiyAJYk7BZk5OpcI2H0ffmQVj8VJBFNpPkwF9mEC9cOz9gkEWQiU/0jvzVgANL7eAMJxa
x2IH+ShmVn1608JBbNls2uurhfkk4PjeUJ1TbKv2lHTIlWIGfLB18QgsSIxCGr/HnQygf74iTuGe
yGn1Idc32HhoAD0frixuJvyHZ+NyrnqseN1vZSeHC+1nz8F9a+EDTY8NK/2rMY6qI5o0fFKrxo8R
jLtYHRN2D/wA1III+N5lFjS/SvEyxBxmcp61u/ORM88uF7/+kCNLvfDBBGWphbJqSqU76802VEtG
IxwS6njcJ0xlCS0N9P4OeQS8p5c5SPyLLqjBLNW4/QUzWr8+DfoZ4nCC9Ge3h+r0zXh/VngNuMGk
cOiWcsA6COpZpGUQONj4/jeAFf4b5XaPAveG/Gns4+0MeHkwVqD1rn4C5y5OvRPoW7oqOcGGC3TV
NKy7dIrjDF9n8RqX6z1VWsGiIu6jkrY6/goSlgOJZTE9NWhQaP99ddPS/GzIJWboHu64RZZ9eTke
tOysKVy/wNt6A+f0Rf4n0loeiFpYb1z6TIYyIHLBcYkS+Oas975DcXq3JQmtouqvEtFR2gcDcBD0
EUC/PaFLZD3JPxuIu+BA2jVNeJapTQkVe/bL6GqH2rq2oJgeh3JJWKsTuFSYkZa1cHNif5A7K6CM
cUFCD628TbRDar+1k1/4kH9GMbw3Mw9s6LaQHCCKD+Z9y/rEoImk3Q0dcWhKqoKaBa36Paxq0CLw
jMUS4uHpcGx8XKDzE4vFfzDCRUwb4y/nVal8Q0660QkzxATiZ/bdZq3FZct9ARYqbOUH6SIdikjw
jRsa9lUXLID+X5RD742LWqonfSIFTQrOCKOBPmunyRZGr0fKNeUfryJl1fmTZENNTVWnyE9V/Qca
/iNZQomR2nMmTe0wQ4KKYyfjUDC9BfAiJyzaNVs+lqzscy+kQUkQ1dgicaGoBJwEbsw3/nu9VYcw
JyjdQigUFDyH0yqsgTEUnehdHm/TPTNqI7ow/R/TstcaavF7AMZeZGv9/0F+pIatk/PbwKdJHl9B
92/Hgw9gxF28+PMDiBTIRhYhASeZvZC571qhP4EQ9UPxJI9vj5AURnGAEQbmwPoao+heAoJYY3Z2
1Fq7ydScGGz4FYFenNgTzErfx/sNWC2Ql3ClZko7RtPlFFiMCjXE9J2z/g6JfAzOdfjQGCUb/41S
y/3J3AnarU32k/DAOUGPf1vGVnKwCSasj6l/8KSutt0HQQkpb4p8Vk8r4wa7tI0uWOkys7qsaUlB
8LGqe5XSHskyjmDeojvP+xPYae4jMuRatQ0mzfXrNPbPrdGtgyx0JZyk8zyyYrNy8G1PORTUDalA
mN/ldo05tG2rabMBMYPr2k6iKXFeHsB1mpwPWg9wCUlxVvJRG5rC/ETC0zbW25fT/AvXd5IDsl5j
yLjONp42Yv8EOcYvcJOEVK3X80bQJ4RdzKZo89dm2I4e0ETeBlE6a3XbWtoS6SKYD9BSLJem4xBx
SttNameAb67NWkrX2m0121ebueYKwd/vlVmWD2pJw6b/UCLqutmlactMCV/ptZN7B0W/X/qsSPom
glm2dGIhdPoMNtGpJqHks2T00e6hHpPDlu7nHOReynkNyxBM0SgXlLqdbz8F8o5gp0GQDIWO+0zr
yDpQFUC6cRUPZfsmrN6UDhlj7sxtIor5pa+04VNrGHFLTcNiSDNO3bNJuR/PishkDau5MPdcdSUx
JgMz5evDFeO0UlzV/dc70/WW3ILe6Gf4goaXRWhHGuI3APq2CFvAbPMKvopVZVALdh4uxcm8gy1F
L74J7ZukLGdGvfxofqGTdO1swr9zBPzeMigc6JpcuaSrQLFXsuXEbWhsI0D4tgMv7cn+ZHY1r1Xo
JRJi2Jqxe1qk+RZ0CkoYZnT8q0TrVkDro9VQxjSrhY6y+bTnhViGlLAP4qvQl6wBFzW0TFtlhHve
HbETM/iAmJ6g+adTwaAB0ZexkAQYDj1DC7Wi7ljjLGrgriCCf/ap2EODX7Ddf83TtuAgUCzJhs0S
xP6eCALhcRqcZK4UtDynm83SwVBhjn7ejR1c5Cyv/QecqakNdE82Hkm4WMwmSi1tQ6bV5t44CxGH
d4GS1/8Ahcm/m/+mbOj13pxLbxtQNTdYAczbu+c3wvvjXFQ3HKcLaCNqIqurfbA4dJIki0STy/5z
yNeA3Rq1s+EboTWkEIIBI74CNB2d6mtOYOGArKxvyEY7YKxToGF2D/sDfnGOTJQev4AtG12Agv5V
Lzj+nYoAph24/8fAZX4OOh72WHNgnsOT3LWfYYa8560RUqr3xjyw3VkWvRW2EPdIdwJ71ApyjCBg
LKewGbmMzZdJlQyP1L3SgjHo0XaIkFQuLQRn60neARH2a0DT5XRc9onXi8ZDmtQTvdadujh8te96
kLcoVpehXfb4X5iiq8LFVHHYww1JXcr57zB5FfjzRmZ45vXCfB41T1KpdX8sezsUwuQ4JuK3hpoh
VK6hW5B15ITzE1pDxwicCjlAUTARVIOCs5KKzjQjU2jFn3UKUQl3TKhRO2XQSrnREMp4al4ocotC
4T8i4JSuCrGrvJYu4+2doSnprf4hAhf3y/ehZlWhGRHCFHYcC/eaC6pZOQOyUt+xeTWTPDaLBsrs
nWmGNcJAM+fiX/HGb/m/QX+LCvWe5kZJxOplFw63/SR7zKCvn6ihqUSVMzNg+lnhmvI9oZiDhL7B
68XFfpfRph0TWQYSMGZx/+CDrnSHBwkQRyNQ/5SROSa/MYvE9o1QehLP8Kf1cgjbc+uOIWkOxW8V
ehTVBNScP30b6oRf8GB9uS3R/nutZ2FGP2o0KRXmAGwj5AWRAg5Xi/tL0VLbm/SQTp3yJ1GHXSsi
pYdXq2oOd8TpnUbjekOxJsNayJkuUFoktBCh3pMX5XLx6eWOXzknfcPwafHJcyxO7pYTnagx/28x
6gL2zSDD/Te5M7n4YCFzDY/7lpS8672D0ZI3aqYgsPon+8bihaIY5Y5m2Hrhwb0sneunToyxen05
JH5F2YE6xz4tnja0cyhZB9ZG/BpPPzg8XKvGD7+424CewJ+fcU1X4tHqScrVI2AUNdm6U4JxUR1i
mNGqZ/ACNWeKliNu63KL7XfPPigsN3hUhjQSyVs+dfukh7ZlozCyDiCNPIbExMmkrKMV0Z75grPw
1Emxpm4th30qxQA5PgaVWWLfGkymzfLKUSny2rpMxiwtDwQOf4VXljzoroEa7CBDA8uV1eQrMrNU
PWoCiEbAJDalRK7LJ1wWnV2faDrQr49fgs/DV+nJ9LUSDltobWZ3o3jJhrDiZUI/nn17ijI66/qx
/BJkRtsCYvz4QXEXATy02nwL4re+q2EcL1yRWbdBdCsVU1yLP15XHUwQOYZqzwUTXHj9N2jzeInU
Ei7YjUqC2A5Hj+k7BMNQypU8bGqF9a+LucI9PnrlbZ/fIwR9Nd+lzU15X9D1nK6yjQ/r+D6+dp6C
+xGpYfSQgCHcHCMRq5hDDgeO5d/VKkpaUn3hMwXwqkgG6e7KNWqPMrdEgt3asDIy/I+s5IxGhPhm
pJHg3Ku9+eE8c0uaPPpBiH4zURyvduweFT1W4BnKYsfn1w5cLGw9lbEXXPlpfRYNhPBH7bKSdrd5
jvrDe4nLClcG3TlmWBvOR/uLUTwF+ETIiI6tPIw2niASNE5YUiGKfLL8f47tv2dhXfczZKhsIu68
h4E1fU59I2dGhKhx37auLh5bLDWqHHj8nnCMdo2D0nQqrC+0IvRz0xC7+s8S0KlKKy/dVG2CKbD9
JmOn5XiGUFnkGJs1Zc3NvEFstJCmZlj15izwICWxPRe6U4NIh9WZ3rxKhc0t3z72ovlm2asGlysP
97fy9lK7mIPSQvwQm6VohjhJv0QZAMEXG8UEGGc1PZlRtoD1CspgKbC5GWXohCqwfed4KguVjvlE
CxDrYdRqUUQA+Gh5365Tl0Gu0gZyxFbuzj/0cJBYtaGwGeE/hLJ0mcoEG/tDhzsHE2cAY9THiDct
3Fg/U2kyiLwb8CdEaEa3HB+qOIl+U2DI4MxMajy7bONiuP5XqH0kyUGrD1hB6VJJtgDPHlLdyph9
ULxyi3lRJCmyxvUQwInazcUUwVlG/V7PLVg3acXST8lGLAY0pzi83rF1lreRN8rKLKC7gpoUAr36
L7tM2/Wynyuq3iJvpGd4ydSvaPIrl4kX+MnA7bzLP7N6JUgZ0uwApxpXZVQxtUuzjW34zJdH7lCP
j4NyV3+JWKM8tRGzRDtgeCORma0pbWHQT2pJ+hZKtAZXnGdfOj+y0YakI2YLZGVMnn8t1oZdZjLf
mkPJjyHDpUH3TIVvAz6qu9ueM2RPPviHWxv+2h8GJsfrutTnDu0fgrjvc1O3iFYlRhjcdztyYQob
zB6NcnC9q/RG8nQf8NPUbKYcGxG2JnCRIZpTiSapPrE7ivW5D/Ge9wpga5miNQQbQIZHwX7/t1kY
19tlB0Zp98xm0G7dvaLi0eYRn6UGtxc8ptE5M96NduthOcVgFZJiZXTdAvyK1yiWVICuHqZqN81H
6rrmUd3XG93BQeNcPt1wqpcFCpi0lu/CggA9QU1i4Wuwxtd7UixBaFCUEtwmxRBxW+N+yzoQy7y3
PlXooOTkOhK2ddAf0RVRmw0uhVeV/WqTJytTo52LP1Ww/9dECQL8CyhQiVEtIqpi1IbotcJOhYCb
fuAlZsvFNuHmUPvVrByZ1KQjtiWoRG4aKtZikTmhr7Fwk2ctdtOLgvJNDCE+2u1eYAowNOMRMCto
aQdlduzBU0nUyKF4M42mIKs6kCZJMNN/Dq6RVSL8Qc19/ZgyVgt0ETdrb8oPUpH5UsGHvSClJ0F3
QvE1wDxDepDl6AXd0oFkoM0SutBPEWIAT/6WwAszCJ5wU9eNelsEae6xe5IQd9Fr9uYC/DoyqX74
2A+pGPN01zR7sMH/IphXwfDXGF6kxbzltriUo68/Pgy1QMo5EcAL+L/WsrDcAJW9lTnoOGJyaQBU
AkK+0xAV1IaavOwEXpd9szkHPgSDFnn7XsDTN5EVH0pb5CNpLh6F7LgQx7/vMt+IKaEteJS9AHiG
qMK73Ybex2FLmpXXEZUHEvUvhCplq1xnWrSlAaiCH0Liio1o1cEG/iDMymEoqFrYOqPhbJam9gSG
yoJ8KZjJ6uFDyExGMKxeoQgAwFOVm4akEmhhTI2J9AWEyZwsQErmDu0WHuwDvG0WSSuAdIR5dGEA
Rb39g7sY6Hmbtlimxp+XdaKblYvpWcSbvFqXwT0R4KjP5Nl7w8tKK0AGnIuEGLlBZhSn1UrnWDQL
FhzXzBQiOijGybpD0R9TV9nrSiywS963LXC5j0QoUnSKPoI0e0wljab/Qrx9C2hlVdj49TEc0Ufd
bTWSGW1xfNzO6aDX/Cznl1YSfGX+iXdIs61a3AILK7sSnPPzK3IukGO68nz2GFF01c8hPEDUOhmB
0Kg/7Rr863VHFzAlRTOXzARU5BkreWD/hG6NWVI46R+xO2XkipYDWwuwbt2wD9bM86kpfNsrPtkV
vqyHOrCNOc7a+ncvEDQ9O5GvfGiV1wJAaSEENdJP7o2a5b/WYgnEyL44mRpssG2lWmgjadG4w4bB
z/iLDlv6AyMUW51GaslCdnEow+6/OiBXgJ+n0aW5H+JZ+i91b3aNVvFLub8MqQUFDdI/kNDYNfWA
cKijB8cVZy7QNK4VmZap+nxCRsjJkTGj8Gj80zrootwFGtuVqZk+oyz0Whr++6/1I2E7jCt3TZcL
3ThAr6kU0Sb1GmqoLwh4WaFEpSxj882n/WcurIxSa2xl2voazQ0jCfvNwIzcla/JQYZE5gTlg26Z
S6PHZ7cMN58SwIXL1fHZkZZnSYP4vtOAaxvfccVwhZHtu2g5DixSxmbwXFG2oOjV529J+DZVzCMz
tXI2+/u/NfgPUbxNakaWWJNKKPlyDfpt2sTcXO+3pYszNHwMDwwKoOH32H7Fkup/g714fG+qx3gY
e5ixaSUKxuImLmMfhrPOGHddfQcMsb5+wslKeCIEWiCacw6gC+w6PAvzQZRrIGTZLaPTNX2m6EhM
Hsj/wxX5yWtMij0To632myZZwQx9pN5XBX6iBg4/jNugPRAJWi6tmv++bWZQwCn5bHRhhJH6mk4P
dItst+UwlK8wFiJVCUMaUkYQR4TV48eRC0z4PTTCeR2MP6M8G1AjvaKBamAJDmBgaUBEFZEl8Cw6
Xd9zjiqG3nylyOdUEbmw03mc8htkFXYnQtDUbPD30qBPwuViZZJfCRhteMFyg7tskMuXMUHhHXxd
N8atIwporoN8rkGXFWmbceSIJsq/zSew23m4Sx02iiScxKUcacJacYQKY4x58Pb1SauSASrpPeWD
RLGswkhAMDhwpOICChJ9p+F0xhr+F1xaFuFVZL069NLfrbPic+bqyo0A/OHN3uMoFvFpvaH3UAdg
PaKPkRD963QUiMJYeeS9E8YMl7ZlH35gwLvyWfQ4GKnR2VOyhaYaPzw3Kf5m9jE5AuK9VHBsRHfV
8Vm4NGo7bUmMj7cc2X7VDqex7uI6bKOmWEmC+Is/stQ8m36ja35rgS4hJ3eVvWj+fTNgZP5Kqiqk
zH+qUWH0udzSQ30Ix3KI6zjClrOkcPHIxdE14g70qNBK3kOD172I6blTmdVu8pDiw8Ls30zU45Q6
uNR05rco/FKRuNmY/s6I9cWvlL1EXUDOXYwWfP497UBt0qU9Pa7T+W0OYjU76qRElmdpA9H5FbmV
aQKUe2GnMoI4eVYrJm4NCWJQQJZvB8boj5gop9DikKmdYg+iN0fDZFT/aNYuMQw4/eg+JcEBOnkT
cwuTnynBbL/HK/8x5PxaAeoIcFDvgbV1lWvxi6PflZiq4Ghb79FLFAHK/iRixPPcLkzNew9tANTJ
KDv4fAPpw7S5M8GZzxw1G3gznS3SZ2NqVrL/lCezNUHfeeuv7itL30vqiQ/HX0uLdFXtqJx97IMj
33bZv26BgDer15ydbYIHy22v+5JwefG80WsTyCv7CU2r8D4C+9eZNL48ZSUyZijsMT85fg0yQep2
1/brDPOgn2mC8XUfKnXlJ+3/FL4+Ok0k6gcdvCxvhGJkGv/Du7ByoImgDp3FaUrCOP4G9xY3xZ7d
zAS0ia5I/2iIW/sS4Sds0GSoyJkTE/vnV1cJwR+eR1TRrfjBEaRA7eXyGh8Ww+2FvfsyX40W0w5H
0A9jA/1F9f3ESH1DkbhLm3ps/qQUh19qRJZ1+tv5LE2tTjNcO56OO3FbL8QQ/Dlee7Fu33uZC/Va
yw8xKvmVcT518prXav9Ucco9aGUDcb0JFhrEueqzrowsx0QvrcNoCK4CVrximIMk8EmmQZa1jENc
N3pPdc9h696GzypLr0+GVeeVBbb4hroh0KOPioMxAEO8dhRVyArlK3bWik9nStPbO8/608M8bkU7
5T6WPlifAw4njEcHtzNDMYtoU0dlvEesJtyMs5QG5KhfFC3XWFNrEWy/wiaZT/NT5w5V/UovDoMj
IlV79wYpNDXjywPqKUGOSXTH5ng0zlWxyyaVl2okoedn1WpTpnoeSRGBkp31RA+CWUZHgFxik8RZ
SswwgrLZM0T6pW9wCQc0YXTC4vLaM3+DWxFG4TPGXmLZYbi6Thyr8Lu/rkWBytPC/0EHb4KKBbkX
hjSz2h22GWar2lrNe0TQJC30Ef6SQmk3EQlcg+iiIzchZM5EfPvZyWHP7wsAN+Ggwcw7NiwTJzfp
bkOi5JZogLdB701MDAkArbnbVCy7knDUE5jnsrt3XBjU/ul6vu4iIE4Paihf6F4QpDiZIWqBbtWq
sUAuIitqXW0at71H8gUhb3cUQfxsSBO+athWulA2yRdQy8gqQpXmR9ze2xpnfYuB4u8K3/Kczqk/
2YaSiONQdRWAgCPV3Fc7NY4AA4Wi773Oiw7ExVqszKvngWwEDxeEz4F7bBI3PduToYty/r3JH2wj
Z6f6eEBCeUzk8Ngz3K9id2ZnU+LAqOMD7z+mt29iZOGhEpfG6X20D9M7HwQC/Jv9RQCa7j+bGyw+
kIAc0xOpM+SOruHdzbO6hoNrtU9wMmxeE5ooq7o0rN8uktbHgK0Rt+ru5RyVcqfb/fzpzvLrk1mI
N4APekNv/mOEmqyduEIU54Cl9miiUShITYiX2lz/B7cpiCGHhM1kUGX6B67uX2aPi9oTWL4PGkOO
lcwRpqJdOp9+KTv6hv3TvLModtg+n8d+b9NmsiX/+pyySrWDxNowN+XBgeW0K75TlrTTQhAyJbAO
9SWJo8xDQ6U23N1sDDAXTL/jykeo+zGnPOg4oLPFEsnP8PglmIyAGGrMgUQBmbH03wUYZLgGiM3W
2X2eHEFdO1A0DxjMW5kMcvN42NmhAkJ5oPdRjapGickDQ6LfJxMIH4NxRMe2gAvscDYRvXXVDXgA
BbDD39F1x5rRf3mZT//uqZ2qWnINrSfNs4cLxriTkBuVvOdEArenY6gnFitewk1ELdgSN+2KZ4ya
f/SUef0H12awDgTfoTWpr3n/4c1ZyI8ts/BPmbLV2LtsBB95mqweIPQHJL20rOjhdmoLk+bPyIZR
bTKBQoT51jJ1LRvNsGC/2mJ4wnMO2pwI6+6r1i2k5MJ0PLQxz698+amehW6IO0hbdEet0Bm0JLTT
memohLEqkdbA+bm4H1Osy45U8GdWCCjz6C919/bRo1PswrKBrRp7ePCCRzhJTQ2l8pY7EtDeClIH
I77R8inLFFNyN7/tnHRO8PNYRZYk5RZpH5N9Q6J/ttlmrhrDiSfBzY8XqjjB3PB2Dn/ypsjTJDbp
/8/T0J9xGHtk07PEeF1RIs3tRn3ElFI5nfUWl7ZWSGIdaItU90ugpHEYwi5+Ll5E960viM466GpJ
iixcqvSAPilF0DUlQsxHXnDdcAXDwBMAjJtu3LUYc0Kd1B+STWHN1Xt6qbr4VoP9MiVTkaAYRMfv
rOiJfhepH+ZlgwOTwUvoUY/faJBLKEHeP1uNrUHC8Vynt/yzOQKrkLp0/ZcGW4rRXRMFq7mkFGCh
TcvoQ+Gxp8upxcMImItiC8sCWL7Yr5uDG/JUy0/ObKEUjqSaTnfCBLUjJ+AEZEHAc4oMJiy2td20
2UB3zAmRDWJTHfNIW4FJDo2B8ajOLkb1SjDlHNPsic25fjTnajeq96vZSww6cx9Thai37W3nCbmR
8eiJn27PiFwdMYRSyIh2C2pGJCvwOEXmBaRKFktD3R+EMPVgXcElmGmYXJms8m7fb2+FM4FCkSeT
8IL42MPhbXV06iqLEA9KrcGPkiu/1t2cBIrHdmNNnBCaRP35GWhGRnQOz75Tiz0vT+I8i6BZwsvH
pqd5osqsplVUfl/DHdjwhIu1leipahGGK3bpeHt+YVKVDUA7BnZ7hdDBojyuxXTtT6TjLppDVl6z
RH6nHJC5SVH2cME63ep57O/nfQGxobOGJ43m018AJnJ927aEGqLnh7nzyeZFkZN6t810/TkmqI8a
tKN6vqgJZOYX0hfJG8wgGkDu2ft6mBdH1ydquI3tcYZnWWSpgQzNJOyvkOEzve9W7nm2lpqU8bqX
OFKbNTPa9vLwTDJVj0PmgGGhxeh+MTiDUV6BWMnaVWeuEXSxoUdULp3SZd1Kjh9BZMMppWpLUp8x
U7T8xyA0UPkO+MVZverN63sH4x5F3d+M44L6FtU7OPmNsuhbiqh4GCe12o/79Ll+/wcEVuLaJ9yA
E5vJykRmnELgvu9w5DKKEK8uWDHw/SJhObaUo5fq9OTnhyjVuyA1y7Ln3LlNM3CgW/RecO95PJQx
4E5F388SibhOPQm0eV+gp1/dQfahu767ss35bun1AH2VXptOaqxIKRzkuwxKcwHVlFGb3NwIR+do
oRpG4nAUz3Nd4V461R2hY7f5YG1WoMx16nK8q672sAVIU84aCYcs32dCG2CqBB7U5rOynbQx0DKC
9Dc8SSsUSG0HsUC4m/VNWHuEjO/n80s6PlJYimmSye38dDO1PVjcBEMSc7qeNVFtkPN+CraNVR9u
bviyDTgamwVL72Ltto9dyYwRPHzTRzTpl79MUFYKgM22j9AdbigZZHlLWu0WeUH7W3iYWmp0Vy+Q
vLA6qKVPr5qUgIcQTpRspCxpBadZhApJwHgI5lqra/2QdKKe+VY2muQQt+ld4oW24I46rspRW2cZ
Bj8RKA33WlRzAzxtfh3LvLLjWN7YkosistdkPN7nw4AwDr2x24bSpi1pXu56IuYPlY/RlVwTpsk1
q669Nx3J8gkeO+OVQcGZh/fRdpzQI2W/mtccPtA3HQF8etwg/NTDXOYXKvxWxML8t9ay3fe2qeTH
UFK/wARvHgzw6z5wgw/yDmKgEK2vffva1Kmie++dIYSGX4mgcpxJThx3a1H3vrIhuh8dCCN+dqOY
dyd4Sg8VKOniv4Cjjkpgy3flek5deZpTggwNKDZdASf5Kvz5qCFR79fylyWA+/3yh43k5BjPyBRP
gXPAA6ewte5kN4mxTGPmzgPy9u4zRo8Ue58ofOBHIEklf3WXG8sWq6JdnQzMTKHWijkYr0Uf8pLo
8mnXHHdZZ2eliH51xQXVpJJihVikuERO95dfuJukJU0RosWsKRv/v63YFMHfW6P64vJkq0SUwYql
snUDPizvuBEdh9PHpxHa62h6S+zmHcoQns6QxRUDaTU2zmdYZR6nRI4E1hrTmFStaBx+1+M7ED7x
VtiW72Iir5G7JfDDWmV7pY6PckOZlO+9PMCJSJNu7WRxR8mtO8zUG9D1utTC2wf0XA3RNSD4crS3
6hU/fdYAWRRAZgiJ9gYE0BEHOZZpIK7j4eg2y+IIpKzVR7KOAYap9waRbmTXdPkfXEuBG9adoubr
yuumK3fOsaTIr7sebfDk9verbamwJjmDU+CWhZ7iAiYkwvNzwmNAkSccPJKXuQJzsI9Vd8t8cbXD
Rg+AC/mq2jYL/c6FTTtfg+mGFmp2TOyI1G5b11hkke346kYxSCst/vN+9M8S1tipF7zITDm/B5db
cuWCEik7Q/midOOgBd4qj3eumd/cJ+IiBnDFwO4rKwQsN1qyJMrQcf366fm6HbXZ/H5AKbldvuV8
MShU6Axp8KPJF1xd/T/Ccd67oUwGOymMN334SyHr1GdVp6lQKvr8T2aJIlKZvSKIllFp45RYxxQB
JkoCt16weis5No3c0oNePSDUxd1iv6QjJxoImqFK+J+2HWikqh/L+TFfmNqC1xCwdxiSwIvp9XYg
7jaUThKggcksemI3Yi9rio2IbdmWdvhdUyqiBs6HzWTjSD4dMjywgE/BjwafLmRhndjOF3DGD2TZ
v9MkaVt7gJkxeG2PvObkAwAOBCXTNAXWyes5V4V+sPSUj5w2BsFv0K5AI1En3LkR+dxHozcE18wj
sLRgypPAyx56sEi0wuHnA1SGdvT8y3VS/uunuXg1m8/oqsdoRKTeQUDZDFE5ReALJN5AAXy3GPdn
goy3hz3Y3CIbMWtB15ggOqFI3J9RA8g8Y00YNpihXfUb8z5UIyfXInapXN7mrKb7YH4L+/6GZBIA
dydL/WCHdBUX/cebCgu+qcEnINS/SeDB9Jj/gSYp7Ew8L8ZyoNO50VdVXsWWEhdX/lEbsPnT1+tP
RCsAA3MOUyYFliZYeVhi7wWe6dBrOAiYgVV9jGgi4LFCPdqKDSM6Pvo0jrdAQcAanCc/0R8KN31Y
ovantbVrj/JyhV1fbycR6mqwP5txPB5BjF8MqO1QSj6LyYMpreAOVGYoAK3cIjh+y0eXUk+9Zoea
so8eXA5lY1qutF8AgrmINogOltvGGNbZJr6uAWb8RdLQSYjPIPdOCJy/PgJFRQNmOJT4N2O+ZKWx
hTV/GCNsEx93imJ+ANDby1upHX1XvUVE7BOttF3CVrSZYBgEBiqe4RT0icX2LMvSI8U1fV3Qgo7w
kfaA11SUPnWTETtD4PKSBsiLb1IxvnCcwNuYfYiDB9L3V+elGkjETVJa2d+KG8CGyiI7AF90iu4z
7i2e+x2W86PXcs5QFH4JrDUeDw8PWQov2jpb1Jq/GgoBE7RgC0RyMp+ykOKyoXNcirFP/w8c6ZgS
Td2gYvFL9JsFWPKMRZj6NsbqjewkrodhNqDbwMvFSy7oJLBEgw1CoJDzmpSa+EjcqKxvGQanzB2u
cqEo/nBlYFamodKlEtJsXfjAWoE22+uukHbfxhoI1DXWCsSuoIR/lIVD5Xq4WUy9MxB9TcTD6LAq
iyswZK4/D1e3C96Q8QTCCXp9ou8AwYrpjC50//BfGkI7YtoclxR0aN1Bs0V40g9TkwEkDtoZhLTL
SEhmLv14/KIfNhG9hkxxhHkTEPvhenCZyf7RX7JSQ7e4a5zZ3qXRkX/+6fGBRdFn7Dx/tmyu1/MK
CqB2Ofu6xkRbrQ9hxyHgRC0W8B9sDT8G0F/yJsE65iWBLl3NKcF9tvXFn0HJtX6Eztmvt/ylg26r
DfKCZUoY7qLX/LDNhZD6pu1H8p6gI24fj0sfNY3vavi4GRU2XzbXjaZj+Py4QRH4a2J1kSdQfCaA
8RBz2taKZMHqRGEnbYNzveVu6F50QQE0QgWmPCuzb1V1k58OvFNMmCPEXf/CuSPZ6Qqfdp9/LbOT
nbEMJmAdXEuOvoYy/MxRZ3RTjd6Wc7KWxB8JtyV0Ar/+fJkngysouXbJPxEY34nR1XxyceyPuoeh
iyROT67ZiO8uIEhlCSkBGTHZjEFV/IHaCN5/+wPLWGSlph+a+jKKCTtBS0UyNMDOLW5wuC/N9LHt
RAi23hkTCUcLIcuoPhoHRI5zoFNq8gN9IaLctpIk05S6BopeUl4W+j8lXsyuv1kZKj1pIUgx+HHq
DO9genG5bx2oFOvlqdkOXn9melrb7PzkYTiEWl2XL7wjhFwe0vG3EnhiTEWaWl0mmkgASth1s8Dh
7QyXlxG9Bcpbugzt45ezjIbUBGzRiGz3oZSNxjX3YZgOJcECj4yt+7kQz+GCSIdiwJyK1wK3j2R0
H4c23gbImNZxDEEXmHGZmABjK3ANDMbqJR/EoUWwSlmGMjIT1H124jttLte8IGc6qzYCuZojiRFD
z1o66uReL4FrH8l/AOSFOnXqjZYbykUdOlBaBrdUdUBmrLhOHWSTIaLQJhqP0ixQS/IsYZHju454
5sS5iUqKl+j1C1dzA1fihlL2UnwHVGodHuXniQFTdrLFLYlc5+9pTPyOrnebblsv/GO4AwLXqtCn
Ejhdm7vLeOKKzt9OiWAbRtJz3k+6Xlw4NyyHoWWwf/OUrcWqtj5TMFG6Mg33AjOnVemV6v9PlSk8
/NFdYqbz0iJ+KyAeOFBhmSWCS3++Gnk0eWXi6pAwxwDFswyblema2lIEJdzCz7aQzyqW03nvUtFR
7kpmbo7ITj9+DwCfXkrDxKY/Jz7ksgfcGDMxrrg8ozqalA+sTz6VWglnTpj+yYMh/+LPHQUd43wN
YCriFVwBQFtdM+aZ43NyNVGj4pJRTii1lZP4NbIevqbzLKEVC2baQI/iMxrzbRaaFe4Ibd3oe6PP
G9PiTevlAb3TA2OVh4SrdvmdKlsOtdud93M7vzWxuCcFwhCsiVbe8IQHPC8f4AP5rXEP2bEHVycQ
Kq7KJKl7lTMj5DLP6vh+mfGqMtRuya5drubbhxffLwk99iBCqCChpfrqrk3bfbVnOwg8lTBigrPf
PFuLEMEmgplKR2PhX31//Q+dAkk96tq5Md+vRh5NVp66Sy/U6Zjxy6D9+KsR4Z2GPQ70d7jx1fLY
WwKOK2w7f6g7KLn7PrU1NfV1jcEby+ydoBmgAkNzXg9DMjtJ4zS9ujNRjL/FZOo0vK7/KUnbtIMd
C1pJV4pOG9EZCg9WPdWNlyV3GR1vpIFJmI4I/Z132dIoSEJVxIyQT+MvY2xKMAZpckftSOPQchcN
T0Ts9/birCc+8FHnTqIpcz39ncjtmj2+mwcBp+kXo+GbKaSXCi435vXHSuceE7mfRDL9WbwAgKL2
lqhR7WU4oxklBLvkgCqwOzo7T8itO6Pbji5cc0oWF4PYm/cRlDY7UUV2w3XkxTAB+A5kyXzawWeR
eM7XNKtDGzJmKaltfE4QFX7Kk+mhc52c8ytz4Ucr2tL4bPmlGjJsJ4Yl2h2FJU955jfBUivBOWps
lnfZeaTq5YDTFqWL1q1fEljpkjgk5quGbV6CQ0f6KhoOeiFwrnU3K7+ALvIbzkBV8q22u4CzVWoM
6PX9sZVgP9g0v/74OslUf4o4jg6q8yMqTz5XqQEV/Gz+pdXIYOkifzAlNMK2Sq5UYM196fMR8Rgf
1U1M9x31BlG2+Vek1+APhd0bYvlNbz8FJ9bSQ0OkIk7l+2UDzsrbBlZQpiaRhvt/6l/H1Td1OJfD
TGqfjR34OY2l7tqLEckSlegKFw4h2f5fs4DKcjraRABqAqGpy5VVJ8/Rty7Y/Asa9pn7Ex5IZFwe
jfENYWxiWyXz6MdPiwOY7P5azJa5dqDXJSK9OfU8EP2x3CWcnrbKluH5DSfxR2LQV7mjgZ4U/rv2
vUVKi+CzQ+Y8GJBsUNiYAOKFEhNv45yy7EzgowbRxoe63jnu98DoLU0Wnjj4op68xV59UKrF26Uo
2j4CqyQhfA5eYK8HiMBiIp6yMRhxeHBGh1hG4K3xrGz7Znm1d5Oh7FbTTxZrS/53V4CYNMjeO72K
arIUTG0eWAKqS/eYF2W/EqZ4OpEJmjh8VGFA8yhWvcpjEHxT51kkGp0M/fseMokdHuBEBYZdCG77
qvXIQlHy6pEKrQ5pdZjeqo1B1iVLdJJuVOaX7GYUy9gsq7n/j1kV9jY8iqB1mxADgn2mIamPEr31
WoVywMrlZWghBxERM6kPKIONMrJ6aL3enJPP7SqOk83xALEzfffBVWbstoRH+DsOVCn+Dzs+aJxF
nh12iHpQNLkmdqJNGl/0Juo/FP9GA+69bHbPY3z/XGuHk/9zGpQa0GfQMx/xUbi+PbnZsfaBjsk/
UrgTTeiasUEpNQyKPCgaC0N0Ti7WE6tscauTbd8sYbWO1NzbvSR6MEIN70TZHNXg+x9xs/96CTHX
Txkv24MsX3BlsN5pBy6BSDaKvzlATmc1aosgZ+oFYkYdaPNZMC9QtmqxadDfCaQOU/EfhIs1XAOw
cSf4ewQW8f32jnbFXiFHrtg/twUpUulokgMsAn10mBjWXEQKvszrlMSPdyybLPGDn2N5cbtB5Hd+
fQXTqjkS1UWPR5q2ulRvaU/22nB6hQDWXQAHiHurqU5RG/R0XgHq9OfNSIb9oHG+JQ9zOyd3uZN1
eaLLxHzQY+Xk+Wus+P/XtdIc2766eoqW49aLEY/0c0Hlsxx5+ECdVNp3C3I3GdnviwjzNiNlxzoL
jVwqSWS+axWngMOaGOYt+6aJpqdlKgBzEd24Hk8wN6SjrvTBqTHTmo1H7kS4mN0QNNglti4z+I0c
vHn/xQppQdhd6gAEVP2gKMKEkpNW9dXB+mi+yyfuDpanY8REg9y1NIjcQ1lmGW9glUshMTQ2tJhY
TRLmFr2R0zw8ZCju83/1Y7rshATqOiTCvsPDllLQnqlQX95CYMavmmfSl0Rb2Y4zN1Js5TmT+wOL
JWizMz0WvBlN8r0GR7O4afQJj+/DtlGZ/Iski5lQXDftxs0aeKXF9s62PiR/Tc4ZDlMKIYtk0Tz4
z48C9dx7Kuv/OX7j7Qi3zicFj9QwUh19ZE7SNRj9Aj+3ZMFxb9nOODrNeIPeppHwX1GwqUT/Gt8J
VYJVaUf3vwTPHHVDrP2cWKHUvOgAaOjYXQ69J3ZzF/rVAwjwkKkTQHQIXRjv+OvhZU8nGAnYCnnR
D+aqxBB1fnpCQU86smXNkaQ59dNyjLRgiQXwe5Pxqc4e4E6djfuNpuE1eLXn+Cv/DrWi6EFYjKyJ
AqOY4GWhDaBGuFTpCEQDj90/2Q9X5gCT77dav9fv4HWxepwKxK51U1uQpny7cIczl1ldJO0mxALC
5G2DX9telQCPpQmkdDZnmEapBwcfH/RyCJbLlu2UwjPqeplP+kVwzJUVh2YOApEB/SFKtXVmqALV
K3SruB2cdm/dv8BsCbp/7nC+vPVuFUv3OnnUvrt2ONPlYlcCOr3SIjxLmNn1R81AzZeof2ZJZj+A
AXi4ugszJNwXS7v70i7hLvFacbD/Cj7FGQ8AMfCH+zMOvtPg4uL/YTmKXFV6TDKGfw2/IBb+BAVp
yJRfFtcp28V2dOxwuUayiRqkRIV0B0JdlA3KNQR9LrRKSgOnlm48pIA5MTSQ459/+pYvDrr5Cfs8
blOENIGe9n+kOzjYNjWeu3YfKVKNCa2nhfsXX4SbdzC/+9IxwKNgEsLljsBcUNEtCpqkBwPsrnYw
nigbUOuhao8a0ahVOsceK43Evg36G3N/z6cQDEVkel4QjYot0YC2WZqQznfHZOQNVDfm6y3HXP9q
etf0B2aLlRW+vkIT5tcYlWpqk5biZFFhTPSN8iVxOW7Ihb+/phRrsaC6Cbc/X7CEJTfX8t2ziMWz
4vThxLM5+6cgDpXzbZqeHO1XEFQ6k5O65lK3LgkiVj9dpvUTU8zhK0iwjCQhT8BClcE6IXNKmBxZ
f9HHEwjI03Za8ouLc8wDh9GYw8VgqVBAMhm3tvdb2WVv3KzwODQHEzViyhxk9R5kT6goqjj71Six
W6XfPyOWsiWXiIcyy+Q9jN/aKF0EpabJxOkB70aw7ge2w8IfaPRU+tlYXjUN2LwIl33fK+Am+GWj
/NFvJxqQ+NPaU/TfhmPu2FexlRDF6JcvqBn+fOIkhZsS6YHxDACH9L1ePm/Qi+QWUicVVwm3GAlQ
45eh3SNjgsv8L/9O7jHfNJeGOvZhWG2qtrWRSRs9NRLx9WalbUn3qzD556YqBdS7eyqox2AZlM6g
i5hNvv8hyJLOVNcjRUBMWkUjrFTJQg5YcievjA5d4/MkwBqhWa/MiLBabDcgewHOvSA6nhxNrtRT
s5mURZfsjezSrwT2hyLeL38bDDDFiRIN1Fep4eMjgLbVvw4A4PLwYOjYOizbkXYJK8xmAWI02XCk
hfKPTmC0Y0g1p4i5F+4fvAzZQ1QhaSB5p2M9xVNZ+gsR47cszIRPUxbdkfoqWjVj8zqi3KnrsHcS
fJpsb3fQSfKoV5Ds1lX9l5hx4d/89nycE/zUko6kiN0bBEHfhLng4KnmaV2IrDI5bz3rnf8OcbQc
5N+2iPuUaeh8Q4elyGaYE529NGBLAVH/eO/wBf3bK2XXr3IgZ87cUOLSVD1tT9qDm+znn/3+GqGz
Zo9jhisCV9mW4pG/Xs288NC8Ssv0cTYbg6yhTkSt3J/6dw7RrcUqcMiqaGtH+Hlgl/Tmt5bztxx0
JdnDHLpwnr8w/KdAhasFJaCUCIZVEVS4dcouOOmsVM+qQUfufB9PwzfgOhrDVE1bdviA2ASGDEK6
NysCyTOfX8anaNvB3g7X+umvRKUW++j1cBVERlqNCb88SPxX+5PSqMtetvVRs0VWXQ5Uq3M8YxHb
h1uze8M2sElrHNoduhdWThjCdOOzzc4nycfQMddXzRD2dN1FOz1APWeg12Cwici1DfYApkQNamyY
5krSaJOBqeOmYbokPRPIQWj720L6WUEn0UJLpsaYSTrvnEK++MiLSy8gd0sIdL/07ulW+GwVY0k+
rB5RtVyd6n0pLabvYoSRNDdvkDKMOXzfb9Excc+K+NrOBxN6W9fLcBOooMGuhRnJgGs2lJkPI+Z+
ethhcmwLtvysqQVv5+/OIhNfiWXB7tnCC9GfLmefiIoBiJS1YeX0sYbBPLMCyHoq4BkmFFd0HkO/
ivFNuR2Aavh+gb/4HwyUp1bALhV15erujwYp0TAE7o4Oc9RER41uSov6tDzJ1h/q67x4N8L9HROE
huS4xBK08PbHXuH+EaP6oiwO0KzVL9tDogrXsfz5+U/D561A+lTLUU7z3K90X0A2BzJPzgSv34VK
tA1Eu10AkofkAD7tRwTWqU0W7zxyL90UMvaHB2Ddbn/Nhn2wF+8e+oVcIDLIQOXB7e26cOvFUnPM
rbQs2FfzUXNVsDsUzn36xXVaACtMhJx3rF9XZXvl4gZmRy3PjdK8EsoFmtmdjNaLuIONawQmUP/L
9ZIyw2xtf6Fp8BtvERZFzkFjgCtAg0NrPqRINXGWELwMARX2p1zLWdM7IRRoWiZ2UUVJFRYmdLDN
GdtXFNtO2eGpo9Atj2cihLf3BhI1CCYaqHklXdfJJeJPYEah3yHlqIVEOSJNXTK4zMMRKb13GXbD
/ZLnkWLhWYO3ZxLaoaDFgdEM+uZDRHJvsr/V8X2/iuoOddA7T/RWjNkVLtJQSC8MbS9G4NV9osoL
oArK1DADqj4AZFieH4bRjSNhnCdXLVw8emfb92aSnl3fPgMO1iE4OJOHriYMgWOI+Wx/wLHNbaTd
ytdyj4skQBSv3aoqpirIynEqaJiAVkPPwjT9w/KpQbdUvXaYhu/93436UZfOgOU8sUKXeVVJFoa2
kN6cD7xJCh3vuX6ZR+HGT1KXqQsvL1MDiXwBXrHasGaPBdrJyLQlHaOCVjBnq2oSIEEjCWjf9kxK
vDkZe4dvnJElVipCXZ2YGfZU8XQRysR83fPfcnQFoU33OrwZdliaHVHw+UBcIaCMmFfoW8TQ4dA3
zBkJXbsJSn2QQU8B4dBzvWkHeisW/OKch8ftrz2D8F0/b5lR5R7Kqa8SidHm040tQ0xldAi0VntE
H1gyYtMiGQVWVKdjGTvl9XoTO5wTxAwYkcjFFhu5W1FTzwTnvFCfEExtKETbOxKc6kHECXeVzqIr
XJzV/d6zVNrNKpMBBI3ZPv1HXPDM9PyN/RGYrggNus2ShowdR2qKYReHc2pVrNDdtsz6CerxVcDz
dsWmZhi6h/X/nYDUR0wXJs7yLoR5bGxISzEQSyRBcVaMc/ETzEjMbjwOyP/bvBBRT7eBbu1Jdp8E
5x9D+Q0V8NuNP8IW7Zcqq9PU/groQwJPPbDDFtjeDmi9RKBvnLp2eQnvK27e2wc4H3o2RhEu3S5T
o837WJC3Fc8uXme3iK6hwFGLdfm8Vh2zUzSJa2+tUtDT5hXmDuYKl+ls43UVJWww/ZrDWCez2yE/
D75HqmwZ/guwSrHxNt7um3ppgpuvU0IG8krBL7ulEkFYZf3kYqASFsJ92Q1yToluaCYhh/+/DsZ/
sO4LyCoYHeR2itMkZP/Oyz82b4++4spRPfdWuJxJ5QckJhI/DLnENWmJxvNRbG1mhS51zGpVN/e0
HIulWWqTLpwhST9MZm72wR4uF9PRXV4A2kAB2q2vED265FHATdpaeAfznrw/x8AsikLGNUTjSCNH
K++v6bpxL4RCgHf9x+OgTGPTqleAqGF3lN3xHt1kGTDGKLzg/gj0doSZOfH7LhDy9H7879hb6lmP
zA4coDmiPEXmm90QGKzbui9RuX5g8djLoDLYtgURR+Qc+gN3WjEcvgb9V1/PLSn1UidFgsrgMVGM
t4y7NaQeT3fhDoj2W2fvvcuQ2MC50jrFQLbrCEbJjvkyvg8JTu99Svoj4YfcQtT1/QafmNB1cOol
KpdGfEccwUAvuL457sP0xSEmP76F+ZtlsOmf3d7dUNKJsx53pqKkUxnJZZITj4FH9nCtZ+2POT5f
I5+na5UoN24M1TBM/g5fK57pCeRAVF+Loi/60tDp9sEPIKCTd0WJTDz59sq6mdFCqBhWYjneJKgE
NeTsFt/VnzE+REU6GSuY2cV6/koU92Tl1a5fOZgqg06J+YYEOsqAV9ljqH9ovjM7GuvRjPWbJ0lJ
UIBQuqPYlMRgPz6XTAovhv7ZPYtYlFo2yUAE4EyB02pMrupgr6mN5Dx6adFwIW12Sp82EbJcvHNN
8daRwbM13qV1ZmFxIxhr/M0zdvRCA28TjCAkyftmGqOTGfLJwzgn5as1qqti6i/9qaHO5FYfvUz4
e0Ihaeb9orsrINxPzBmSYxv67mjs/xEI1JTJMyY8wlm9pxVFlcXYUPS92Tw5S5BwDa1pzU9X8FZY
zvorOqo5wVq5N0TjPM0o0vynkwc7RNawVq2zsVP0EV/VBLeIkq22NutD+iN+JV6SP8HPk9RhZGGK
/7wqj6irhAM92fIQvfEy+frLDzYM8x0Bp/zwupZIDc+poX2OXYSBB7rpvtlLJDPv8gWebEMQOBDZ
y7pkcRetwr5y7CUHNqxgHTxR66sChbog/JSa6+AgTY4N8ly6/m9ZiHyVak77+IyP7JuJ2dWDAOZ9
O6DGiPn7523mKuC4u3qVxKnigfoQfRsGGCZaRFaLzHJwNA2OvpU6H9vOuAsm+ZM+pNBHAVxktrKH
2LdelGRaYMgQMCuMCCKfZFhbn1yrIBxZXJAkcmFUIX2R6/Fg0TbbE/4C1VN3lQk6KjGTLU4HsJuP
SzchI9A2svoKDMF6Y0GSXNDa1Zlo9OVDZuJBn2JPHA1iAc0yvuqb1qDIEXl2FHbIw5jVVkxbEbnN
dtql2rM4m0K5+MYzrJcwvk4nqWZpK4U5ETJubVz8E/daO8WwhsleoanQBbqg8J9sRXpsq2n0sMkX
Gp8iN5TFmzJGqilUZFgr7VAw3uhaFqscSiYFfE51ZRux5mD3thSyERMb6qdoLO7kBW/WXXJLCWhW
cT4/7Axzr+MZv+zrlqeQQ+ccGbR3uXSqg82REBgDwqt5SnwubGuA1jyJTAHcDTZ2DK0ZhHRNndLe
0yS2fo4zjxFAzmpZ4xtofPObqsqpryVEOE73hangm9VKmcdslFn+Ufdvj54fuqplDDegHVY5FxDk
3AdfxDXAMGBPR5Cs6OsbIsf++zjQvcEuTZ+caUHcoEhELrJj5bEIgW4Mog8i1zq3ZyL2AhC93ekf
W9/3r7iL55S5g2ebiEKk91D8VGuzGoYy349y7B0jo8Xpv+kzuwAjM9l79DTzfDaJLyZyq+h9nYJ1
sGNIkQ1rG3Xct6lXd2SKSK94PF/V4xvr9uMchgJ4j7EqFaqXH1tUNt9Zz+T91exmkRyTmrE1Ud92
UpAn3bRgcqhgd3LEgJflh3ssFTqi6YJ9ZPM2FCuK1c5n38arX6kxXU8or3xjvx2woEdzyVvnfpyp
jjWqF9Ua5WLMIz8DoYfjKpqQUxL0bOHb+mftthqhGE2a5EVWzyV50AcTezWdLnRHpDeo65Hj3507
5s61S+TvMLTQMb6U8AgiBI8bSHlhA0tkv0SrYIedosBIwbk/r9+juz+BHAthijab1liwa9/vuOsn
+r+QRmfmezBFZB2cExkwA6ilakh2hWmT8MZcbdQ4WmItSnE3/IX1KlJtVoXzXomkd1V6BCwHyG1d
8j23IpJUNbjD7BFWU+mMHKG0S0InY6jIy5wZtByTVAX6jlC2PweB7dQc+Uju/rubZBMSzya60YKU
43Je0xa/qzS2Gn0bAPAMXTxYXVpljmcjM5+XrUgsgGQtgZ0nX4MB5CCQvGBZ34lyMmpYOZBymblB
CBRk497vYllpUQVwfpk61OqPhef7v5mxUtl8KRl+e+xASu55BQ8qF8bCHMfLU0FsSnYlfr5p9ZNx
xMo1nk9nrT81ZoDiCzFlAeYANnj1tiXV//f42EDd3hm1zLrw89LdT/bzAQQPNHt/jsvoWRjXaMbB
R5xQ7Mm9DjkoxDDR/HvnWM1RS10QMcQHKDJ7R4PDs6klQ9lV6cgl5KTSDDAEGNAlyqnbMnCDrXi/
98Ep4BQr5XoqYp8hvMQIbAMXuoy6PtMDlzcHPLg3JmgHxGPvZen+0leDOn7p3zn82ANLBIs0d7nx
ZxJB8iLLgMp29vWY73xIx0MjyDs7iKet9zpzIDMRFFRoTEyxwohzeRC5C8vJVsW2WFtqk4c7stHX
PR7t6jLNARRtaotbtKeVhBG2ElWSf1h7tb9izPl7lruxqz7xxm6LE+TXkwa9v5v8I4K7vL/G26ry
qiUDzqeuWTUQGS9wudlPIzv5xPLSwPCrJF0gizFtKDxN01A+i1eQkZy3yFoi51Ykl09DX1wSH3nL
mTL4MFXROlreGRCUzKZriTkvWChI3dBn29WJgfOqekEUrcA8xZXvrIHwhREy94YGa9gluz/BrOMS
FTc6IeHmxCu85B+MOado7oz+Uk4T/EAOJ+3/+GcnYMc8Uu37mT65lGniJOa7h/Y5NaRFrqx7Sc7d
j/7k8piQZScyXHjnsxkBxte29yFPFy5bbJWpW6b4LfVma2WWo8K3Waf4xOKEWt1aoBnrna67qi0l
5X7Y1L48oNXKFOwSXDHQu/FovN0mvsV2O957i8lgCx/9gyEEvAjdUvGQV3sRINsDopd0A5BuQJ9/
nS43BFlaB1aqSSsTbJXyAIAb8wukQthlYWID86m4RRd01ZMc7f0v4GVVXeHSnz7ACsUxM7D+Af8q
7H19BjcKsgImZf05vDlKKxnUYDsONL+rDuaQ0jlWCbZnPEAQs6n0JhL8NN+tghiSojizPbjD6CLp
1K2QvR3i4kSI8aFlZN0YHDWegTR30CMnEaesjzCrA1SBa9nRlpA6iYlg3/RrPbqoJ7eYllMEVYqA
8bEJcE9F1Hut8CaKW6iSdKt30dLi0tJ3eqQoZJzbkrlaoVZUvl59tCLpKkqlW+MRoG/BdLkBjEUp
ymhnuJbaJRdUlP0z1VxTjCuszhGi7gNVhege+UQToChkNtqPuJX7qLlQo9ycXI9BMRLZwM8T3iob
/4oD0Sxnt4gBhAG/3naCszjD29UVE5WPeUeIVlsktNKMvFOfEfLF0qYBuxbTQn3deyKRvnWwVQcq
RLqRp+vYXOoJJFMVKn6Ii88hK21X1/tNbhVTlDhBdeA7+TvKESNzy+W1tPYaTpieDNfFW1Z/GmFi
/9+Q1SVEz9ril75vpN2BFZetMsX8huov38WUEWPflL6ZWUi38JKsqLVawH0jrLT3lono8ZisuzEe
6d3jydopmqyE83bPhyR2uT4dBhCKbdov5M7sg1QjnIcUBmY4jX0k4siSd16hB0X+NzXbsUlKENvJ
ycabyVfDYI1K/ha2Qzu/pyhCqOY2V7WIE+FYz9guoZUk1ge38quWmkzXSPBS/NSEwFS5b6IIg4Wu
6pdUYW8MH30b+QTvXe1MpyaO8JqG+u1SLc9c2N/CYF+5YbtCpqpNcBo12ugHQXx4WjJoPDddY+E9
FUY1LlWT+vM9yFVtSNLpaVteS7rCa5Ia25ax5iDHodDQz6pbMAP/O8kmhbQMTVifVJKdBU/xPzUT
Oi4pw6Tx24bShHG3/Qy+6kSH12I9qiYHDi6Sj/sts3Xiba+aIta0doEiP0pdKqcCXPPKfA0au9FC
jgNjBj33mMKGAYoxw3B3gx25TndCbX4G4lLTL1KTS8SCurETbS50Gk9jA2ctaiaTuVk4rIoWJN16
fojC2yzXzwcXRTRrXFgKHA1b4H+PMUx4/fPqzdzkVmE940mOASZdn1+U1xnt8mhODxOessGmCb1U
EPSNoDjSiR+TZIHaRtxSd7mU/88vmzsFsFoP2L+ZbYe5kGZqA/mIGuq8GHIuMIILtHsE6N8bOhBU
KNnh8PA40lwMcX8Zm2DeYynPbjyqwhcok5R3ElgvBLYOtZwl9OWKSAUkeuXonaIv+zg6O6Ca7zRI
45HBMg5+Cm7FAZka8x/aTsB4BMcezgWJ5uKpm5T/bQRR0MvJvlgSIMKJBKT4Epkaax9smupI199f
Wlw9WV6JqksoejWfRk9L7FBWsNvUjrHwiL1c2UHChp1LxVHRKi/YrG6Eg3sKv/RqQeCrpKG1uLLT
5NmdC3YHFrW/Yq/9bPkJxRu8VfHRxprxSsUk+2hZvS7yWgyKs1K6mTsq/ePfPmXURJn3zhyeeRmz
YY04dA4xYGAdpRTMmZyHoLtoTOcKeoGNZBGrE1WSdqYgF0ouN7PSMFRFGv6VabMmvVKsVFFNTjp6
B+9BwKBNIdsq3tQgB/4aR6J38n8NOHTNrmnf8cn4l723aE67+ykatElTA3uiEhRIwgmyG1Bakn9X
blA3LRwbgx75buXLOCyeMQnTo6OqSpWRXoQSeJ8+V4Aokb3NLNtZozfZvPACbknF/kdX7N9xjL0C
d9dFAf8FXj7PQbV++aryEhktr2X8IcdB+avzoNcERS48QHvUJlGFZxv8oJr5U3o3wj7ZhuYgpu8z
2oBZHO4193bH5596kNCRbrl9mbbuT+s+zjjh68VuZpvKL0TrJMd+1vpj6KxhQaDKxwCAzc/tGWOO
2ucXKnPM7dQ2Q5pPpwxY+oiohxWi8eUN8ml5lSHroAcCiFukdg+9AWTTZrF0NYbFnHy2I+Njq6SR
hjeqPwkJ/L0mjGx3dRElvU+LsES/WU27vbClDPcdIARwplwVLFicbsdoeUeFlFgLVl39cV6tEYmo
csL82ClSvSg27RyxTm6mdtJzJZTf6Q4dhapxwbgB0FUkg4fHvruwSl8OWrbQq9QNbSegHEsgZY0u
beG188LmtiAdlNKIAkhXvjpnxcT6cC72EZodv4A6UNqC5Z/zM4+IuZAmlkbp0+aFJ2rGXFDIrTU/
fw/MjS5DA0V49UYhhIShYZrJ7nQYyhgVTqmtXxGBOsX9ne2Yp/nll9o9z5CDFRHEQZ0YWEle4tvT
Oeedofu1wfAmrmfNpOCP+ZsepBTsoGjcsYFy50P/D3MDPKiehixQiDD19Jd2AEuRpgJPFe7mBq9H
8CSXEQa8CcuBP+2O+FHZqdLnEJAgLo6ZJdne9qUy7vlLGB0GS1P70zl+DJVhuoH7LQlLgbj/90d4
mSrT9ne+9yFFi4QmGUvYe8TM7pimL8D48Y6yR787nxPQ01omNwO0NcV+kWIZmBCpoEDcGi/yL0uI
cAsdmNMdj/n+BOkFCt4ogJvKgOZU3/W8MUlPDcIdrNz1GPltpIAq1fckjTbec/1pmaAo2VLLc6TO
vrrajnt/qOcwQfDSMmWrQZEnDfWKl8n/yxlZkjhQ8rM7Ydv0pE5HTHNxFcPUjIInC9M+3ompsJ6i
7OQnzrn1URWx63kZpmcQU6vXuFlT8gvnu7laPt17CQUnDdSaBcE3LWvqs5s1MtDiuUNUBICcqxzk
vVKEdp8voRF1o288XLzpY28O5sVEg2cTvR+EhyGQHWmQ/AMrrJLosU441NuPCGMbehDkMafuvE8Y
FMGEwHaSC0JMUWiTHc+hn7OdiAHNTSgdqWpce//WM3whEZbB5R1+fpFqc6pITC2kDJ5guz2Ce86h
gQD3Nd6USp4xYBVWuJrhyUSGpI9OcAqYeQjY8nEPnYzmOZLL/Dp3wuwTzd9u8H8eINVJLM30V2jb
laHhw0/NZRROltTX4asnJXA2XU648CKs/g8pLAGLynRVfpd++Pu3F8xR/8jlIl6d4eBsghd2WViH
EROtuo6YaiH5LJfTSMEfqe0RGCQ/I+UQfW9gvHPVBysSR1nh/S7giuhM0zYMxiL6X44uA+XwJpX5
RcdVcrLLJInWDfJRClrJdMJOU+BcTwf3s3fnji1VXk3ioaYwsPiW7ixnoBEh0nO/ijQSJF9Gf8fn
cutpYRpw2Opaz1BsgAfRW4Bz3m+3D6Xk5LphDfqdRUfPHz7/gZu6x+9xGGGpMAfPk9LMLKk/8zn3
l1OqqBDA6YS0HI7LNZ43fZ0cd5lgAFsGa+aqCUBNuNmH8+HxNGKOCloYNKYa2x58yPa2FtitBuzk
ef7+kP5EoPpoS9D7BxivtZWqgd8azPDCWRiaqb/zWN+5HK/D3omzCA6llzOc8ZShaRl7Q0+b04z6
8dpcaBG+51sF7qJuHPQdbezbBs9ZimoO7aJgrR7BFiBHhjqHCToeCBkkbu8x1Qv4/C+qsjvCbfBU
yaYJj8bstUmHsO2hmpFj0YIUJGfWgDg6Q8CcdOIwY57/GPaEcOlqRd25jSmUAMBeBJnNpwFczNXJ
TDjasrBMd/a/15K0G7ieRo9VxAAJ71sMaUtu5OyKXoKwM6Qm/4sg3h7tx99vnjHD2wLzNwK3QfZ8
+27MaV9TWkajTaD4e+6ZVJuG5SfUnBcIR4Li9UY0VE9QZkmZwtIqFAhA0eAOjmz3Kd1hErSPZXsm
n6tInmuGvvmerYPc62+nC/fHu4oKlV+jF+pLfwUgfl0UvJwkuKub8W45iFbCQNJwRlVTA9oYBU0X
egv3ytwStd9ECBirwvODUNsNgrKdV9LwZYGJB+OQSoqWjZg/fgjAImROKJHUqkzdyp+8vW3FUW0k
lUggsBXgw9cr0n56uPSZUMk/+pn1sRAzoAjrRIsBfahueFvX8GIi/DabBB+d1silEBqzF1SgoRAv
BlgaR+Rx0GwgSdhYfdDTV40tMqWBe8FvOdD9RlF68Izx3QYZS3VP7AwDmUe+8ReBQE7D7gOL2DnL
NMgV26Ijz4PhbBPEp3W6wD+bG4ahrlpK4qJmFnuDUsoCGNrgAQIeDr7Rsr79TZlfFKQ7+avTQewI
BqTKR2RWfkSatk1v9BB7GuFWkoB6dke0hAqZP9heHxZnVt0KgFFjqv0/6P2qx3GiYKmB9LqTAq9v
g6dkE45BbfpYo1hKIb/zacPvf9ggXJGCIL55wKIxcCp96bbh4ddE20PSkmh8a8zS+nBe45KgpX8M
dNAJzPI/KAJGzwP/dlLp0H7zefWMOZ4tYwLofzG8jJE3J5nRGKAbEvU+80bYATBqoIBQNEtrkscp
sdDfznWvvRHVqubLL9tWOI7xgtS27j/1Z4svKnOKPKBGxm+C3Z51Vj4Nq5Nj9vXvY1vgRZm8eYDc
sY8EcuZE1X5TzdFPRfyX5ycW3ZevORTn3tuUoiZfgaLFMqYT/7SBZDvtBlNZ1BR//TjJI/7Yy5K4
P+VwOSeYRZvgTQrL8J/8xknKZJbm76xJq3ynP3+lcmRe4U0Lp8KJiN1QmSQahpC5o1pI0R+i2U1h
sUGnnfvmhLwLQuQkwht+CW84A4sMYMlCp7iovYePGsHtLUErH/UNkzS1vAdPYD7J07yz0MDcSCI0
BQEnKTBfgAsGX/9on0RzZ7s6TdaSTVEOuAFPgWqCd3x9krSKdzMi37wG0LAaydjMPJnQTHILlhN/
mcUpkx79OCiNfK2mmBiwsqDWRvwipY+BzcaNLVBWxpTeRO/ZcqStdKJQxs99uZAvUUB2adWfOFzV
+WAq5jJA6h3CyFP2mIiSknsZIcm8KnfNzRBzvXeQgjpZSrkWJq+Etbwk/HjpqT8Ujy6ssfYfyXjC
JKpiETShbzxZnYld65mEtis83J9vGDqyHkISHBV61HNn49HCPNLK586lJsPcX5IZFWFgyOFQyQb2
rowF4ZBipFhNcPOcAHObHKHTWyw1lmC0emCO/X/Iziu7SDU30nLn3hrJCqOnctHwjN3mL4NgW/r+
MsjGnq2D8rw4loP9xNkt1NdoSE/VTUKtK2TixOmfURvcq3ttkDWQ20/7gOHle59KuduhVNfb9mSI
Kmi89sLMwZ22HY7TgcusdW9Zm4Zebpw1nbWdiEBPOhBQgefbb57MyFK6FtViJrFXS9SMPgoLQb+Z
q0PAJ1AlzSWQMHiViWu+dpYOIMR/sHRPsC4GaU90xo7fjPLsMYFrc2gOPctpeldT8J6lieYGi+IW
xkySmNDGXxINln5cZNXsp2sN7UOi0oyppsLqHWoT7BAoqjA6aHKZYVEMbn3z7yCj8exO7dvnhbgN
kj+75ognLBlQwyZc26bTg/+OzqPEQ6dWLbV0Te0Ov4cyM1uCGL0eEcoi9jyYAWXHt0ht4oEyne+z
lDhxyc4Yn+Xpvdd5uNLIQQ5OIS5LGxiU3UC0zFC9f3+sEGruXyQggriCsS5fg7wD4h9CwlK7povR
FJKlMVH9bIQWNvto/+zZDIcZIuufHvjJPyYiioiBeFkKcoTOSLYaMbIIvn6CBnSdbo+nUdqw5U7x
xfje+GVxnJUx4kvYFktQsTqkZECB69UUKFrdfPccyz5Cs2ufGmIZ2G+IFBCN/rkrsdWDydOv15a/
eqP2SRiPURCED5Stngsua6Ty4wh7ya92ez3e0e/ZZ5mEjaD03kQ3Hf8ueHVw6LmxHO+fpnZT7YhP
W084obW/EBEPmpuXyVtqMMhF7enBnFYDF+ufafC2ccaGf/3kGkQd93NUoDc5OuIyY4NTGAa7TSmw
AEgBQHxr7+TrYQh0gfCpUrpiMcpbvrOm6xTjUuGNjs4IVU2wNUMCylIZW/G12qR1nMIi0MRf2VAz
h2fc6Bo8nX1INYuFKqXz2A3KT2NOgftMXTxd5TlmSH1Y/8WWHOqqYRrZ6rB4xBipzpni/iexj0se
JXdq3T3JSFAljxs6Nx3hCUKuvDfi0MBgV6PHzArYnA8ieHacFNcYkgVO6SL/IItc+2d5jFvmbOFg
X1ptbORGk7nL/bf8jwrTDRMxKqHXIQVq/EPHh9jQUa+5SYcJX1ymrl5z6JzHkkRAoYy7VLpR+UPz
cW6IMSeIcx0yi+GLqoeD79sYupVhioNSnrX28q9dDm83CzB7XZlST8RlQOnVtmf7G5/9WmhEu6uv
xDvehhtTWFOtsuDiuar611SYpml0skUYmuR0Q6SWXqFVuKxjggLSqFHfBbw1Ua1znQWA2fOPim6r
lNwU1g9/1ye+n/xN/5EX+gFVqabOXcl95kfl6FaxBbwDBduR5LTS9PDypm5CoorDhdD/8nERqxfO
KxFqxJKuOXCL4T0D1CDVhvpnA89q0FHlffhv8ikDkgJD83o6QaTM20YpF4LMhPk6j9tyErJYoUpg
Ut0KwMiFp7o8HbbrXiWTrED+iiq5Lu8ojzgV8g0GW032PINbctYBXfBtF6KN2IDFazoTuB+U5vSc
lSi2xWEe7RRlFX6/zAMvkycV5YFoadFoWXcCXJptwdLRGhn90nXEwjgfnY0A6COEjFkvj8I70xwy
gQjCmFy0EG+MvXCvXyBAWE3X+vazKodsza84t5pXG9H2vRp0aY+KfN9DsgVNWuTqa9ldx0AB2HiI
mh5Tr3wp+quxCF66C5BEzT3AEUSijK7gkc+5IloZoerxSfTCCXG9S8RTA41xNKWeEztsLPT+rZJ+
xGk1NCaan505EL78Z1ULieHJ9nO+3539Vi8O7V6YAkBCtlKoVJMuS8zSswa0oCkymSXyLbUBzT9f
/AWig6OUG6oGKxK60IMdRWcgfL09nhvwoVgRYRWxh2X30gsSvKPKZdeKT7rQ4GANIDfp9vzhN3qy
/MCW7Gj8636uJDCBrYTHfA9Nx+BjMKnyQ+HwUetk1HI9kFL+HXyelJyCU+YKuk9gSjvCyYqOdMpD
u9eb58UWTYpHUiaGGoxJyOQuU0gPRtlr6zfu2jp0vNuCS8MNKbR0atix2NdnqRtqR9FQIKLbyU3M
DmlfTbuQRKqDSLv6SUhp4784nP2t+idp9RQpu7GSQdo345tnt0++N2/04wRot1Ez8/dEr1UGOaNa
inAjwqQ2yf9pxJv2glZqVpua03Vrvqh4xO4IPOsRBqF5Oas5BgWSChwNmPGGf2mIm3QkQGN/g4aF
bfX8kM+B9JMkcOPpQUBTl7b+NKYKh/HldMyE/wQpFFkMEG27XVPlCYt8WQeRchnpPmNKBp/2j52L
2aI4HhZ8V7XCsR0kyuDXFhCqi0nIUzDWMLb48WA6KgMUaeb/0QJNCpv3YPb1+7iYaMG6aX3u5akY
k1j3AagWOggpPfXXVQkDWMlTbvKL1/u1AQ9hMix2fLnFb4VXP8Z1RLnEjcThM/Gc6/lUvfP8TsqN
DKXfZD9BA4kd8Lf7ez6RLcdRCIzs+ABfSspdCiT43neukfDRriMVj91VmIuMNMVSQ5rhPxgHhL45
+4ZC2GKXD6iy1OF608vmey3+/2+iWP7FAlkSQU1wBqO+YAtW1qLb5vZOOXCpYiVVURbYeVxRdnjQ
jiPErsyL6EEDbNoXaJVoP9qLi5g3bR5F3u5sUso7Gooz86Y/DzMmjqEJvyPKAPi5//iWbdfJkHUP
GM6vPuy3zDoR0Jf7mm6KcBF/yoBrbZkqhRs1At9/uGqIubJeMTOMjhHQTh3EoIZwCP7J5ZHZRmKk
67j6PuN8ZdBgvwSksYG0Re0L3FoLhi2oghHZjVTQTcV2jHf2ECHRyfp7A1O9uxGO5HoX44G6mzCh
6bS1hN+OSTiVBEU9GWxhJhxBSMC3YrXBF3IuktAGmsB6Sfr5yEg/UV+fcIdebHvxNEZ9IvDQe4UC
8TprBV1BKw6zIegrXR5QjUjm2H9KL5TCmgBVOKXmVrhXRV+6FdLxXTPslAadRurorAgK6tOeoAT/
Li1/i04rYbl5oK4MxNTZwYhkNBDB3Y5ZAIjUTbjdwRU+eg8PRXToN4rwtm2nQpcVoAqpqMQ9P7xf
XgaOy3D92pSsrwRBOI/MRoXLjFMNJDzRg0ZxKAbwMOPxdhGbJ0sjmT8gd8vw4x4KepDf81FOmZwe
WCv9mgIyVZ6bOIHYYJf+HS2J/6VPggBosG4XLGpVBcRHVC5A3lWb6QB9n2OacxHn56xblld0bL0q
13mB25dSbrNrJmMW/n1iubWzoZ3Tr0ATOKK8yG0F8c6j8eOmneZwlQjLUohlzoXYbacx+fvo0V1O
JwNHcDdF2D6OR7dd2S/sPfYqwMvAi3RN+jSz6Msa9gEwj3yfPc9Px65cMkjKeF0mvt9fG2vtoM1M
AppV5r6TVoQoJs4Az/Q/Rkj1EDet2dpBJMmye6ze5bu0Ny5KJB7ReMypyujZ7usmiDvwhZvB7gvu
gzXkNvuYbm1br1KVaxs4tUAkoezItIb8tNmyeHIFJpGYKTnRjPpiH9R6EQc+ISvtr2Mv/D1YhaU6
CWFMIV5gqvFKB4E9gnhL0dvjLghEztdtEgYClZ/iHamu/XmARetSEw9rifnPt+OP5/TqTLCgncHX
1m9B/IyFeJbpyZSgTKxzcDavEl6bsJ2iVFIXzWLVgIFP2plucfFoKN1G0s1oBGG+YlifsiEU5Npn
bqk0sOc15N7KS4Gu7ZgicxwVPV1jrkmsN/nwM0JahMY+QrtCb3Jyksc1ffXmldAx/rJMtPZYiuoz
mlNqs1sSMjWIeu0FzvaJ3m0zGh7BwI8D6Mxi5q5N7kIocqovnW3FwtSY6gWbhJPnK2X0fxappOxV
afARD4cHZBCwq5SDljR2C4NVASW1IkXh1MSbeiXwe4u+4zeYzW78/4UFPglsg71FP0xZCb+KKhSO
8/F6zIoL1aHFs2GSu8ktjR44J6TuE7wfE9FGMUUr4zXuowPJ7o336sBjBG65FYatNsSBEGqw4+QA
7iMZ2uky0b213V/bS/+G1Mz4VCHVg86Mz34DywXTNpc4NAmLug1qOPYA2BEfkDz64LiDoue5+sxo
ZjuW+iAPAK9sqZ/DmFKgGI6+iiEEjtZOdSHhPi1ss9lCSJAbZ1af5uCL3lkqHya6rXCNNjKeCOIT
5/Yed4KGbB6yAVitmOIrXKmtOsL1M8Gi4MBXCozf9z/uvlw5kahgvhkxq1/PkvK5NSYtDedzvxin
LzWitxwCJa8o53UxK/6Yh4/GKS7oMsVBsDcYfLtZQ4fMHigqpv+aI9y1lUB2VHEtKi2jrM790bAN
w03cOKGSuJP9X5nwwPszmxI/7U3gooBRZyCMk2skwHkPGgfTsCinSh5Q1vQKlqmJBMB++py5z2jr
IkbP6qzL5rhspVX5lhnt60uvwanq0bZKoRj2tiIm8QewnQMDyMJOr5D8teLbUGXVq/HZSO3dhFVc
XL1RKd1rcejavFvey9U1/cq/jH9SYVLU0SmX2jnSJsMi864vJOXZd12x3+hTuxc/LOQZBuALpYar
/HscVfD/YnJlufvPGTj4Q939ZhD/KSAMAug/cWmTGVThbSz5pmVxa4mHb8AbwxxQFc1CwWJQ7L5/
Ea4/J8Xfi+wWC1MEEgSlnpxU0MPTWF5ybziaJdCagWUBs6WMnVUQ1gdlIi9GoJGPKRdqObvUYAxb
0QwqnwDR3LyH6e+BwDUwrmyDFtfGLx1X9mGMalujWe+fBwyfx82NsZl280l7SeAuUaExRdsSOMDQ
ME4c96eAt3klHAVtXXAfLg04zWfq/g8FkbshBP+mUcLdkYoYPCllc6J+5PepFXMhVimx+2RfZLPP
1W8JLnJOAMA0acdo79STV7nrB6Ddx7AaluxYidK1CEDEwhZZvS6MZzlk6WI71WyOYwnHAXc2yQ3P
jKkvxDGiEetGf5u123D73yI5D4tzkksJGlegYTTTo5WdotZLSqizEyqReAbfkTg58Jf/IiREra9A
J1Lr6M9KUrHd3EFBTjkmkD9064rUAXNnKrHTsBcd+MK1tNbAeMbNJLSEBCB1j1I/+QJP6xYYmtpG
YKHL4PSwfAk+LL9VyGJ7HC5mYRREGxndrkCC+AMuJqSPOFEaQdvgHShaHgsTh5ZBuwTLtnrZf4OI
L+ekbULT/l0hxXn5qOw/MN7Occaf+zOuJuiMbPUKHPxiSqgvdV0f/Z8qQvmRyH3rkV14vV58hdrL
VUUD270EdPqkx6tQ/05SYUcdLuHpqrgY/ldq7sUzAiGF/0JCBzcvlWvWUJhvLz/DREE/9p4nQakq
6AsqFAa5Qm2cj3QPDRVRwcDEfT7+n/UsLAbVoeAXKhfIGl5LwEzRVNkIEQ/mnmuCPcdysJnjkGrn
w12mH+pOBG2lh4RM7ewkcGNWjZLT68LwdvrsJSze3dnJVSUiMs54JU965/0yW+L+zSCtZRVbWja1
rwg1EsGxTO8ZnCd85OAYnyZIASUg+z28YfEJ77Z/gpIrPzPpcXHhbsDVgGzSyuKc30pbfEBAz3BL
eIB2Em6NabeuyTTtHv4oQ3bXrwcWyfuNEbCxlCLK14hkq6T066aEJtFlHSCxIm7iYM17EQpwKHti
+BEUBlYhjo7XUJffLbYDSPzYqEvUip4odvzjKxC3b+cZgHyR8T34lNJtDMSkCWkP3D+NpCGaryC1
YhE9TmNQm98owWzZwImIwvP27HVdBnVoDHtcN5JXao3RBTqn4zzMJzzAFD1G4fpXHcK5loq/ZJ7d
uLoyUY4sz2sRcYV7mEbRa8WmHUMGyy9Mb/BLq/IsaNUY2/y6/oWczedLctVrmMWV0OGUWL0oLENz
qDlpA1YRIeKa+I9TrmB9VdGBdSZYwXT9xrJgDyqDeo3EBHGX1uo3cNbMBYKmnSE1DA0itFNTJ4Rz
nzxKxP8O5d1lfIDtIpZl3rd60b2UY54se3kSBpZd0u0y7Crc/KnghpFmHWDhx3xSUkQZhHFYrJMi
E+TN/GcVVP2LOZ4O8r7I4r3Jl5AbHRDsN1woqHatc38q70rx8GkvskL/mM69AN4lb1Yrkw2CF6QU
KIK+dokuVT2svxZdwJNFOTmtuBcHhmVebR8nQ9weJ8jh5GSfg84Mh146JOObQiOfPmmd4MThAcaC
TdGHRCvfxT9zXUMO4P+lLkamBF4ynvJc0Md9wnMd4oBs+/7ilZYlk9ntc/8xruf8NYZj1rGfWEs+
sNhM93tmhXk4lQN6NNECJGqvD/9N2CNF4eX3JJCRC2ih8AkCxI1yXCBkcYJcK8MlwWUDJWk5AcAz
dPVkezn/QccL1R1bFfr5+QMrtfhk1PCKNkDLIAoKo6r28yiXmcKQxEqKG7jru6w3zQNJ/LWDiRMg
1A7oMk3THC2XwkMajulHscNCm3o2EegW63+KlRbiJrz6nygUrS2Pm7apIE3JoCfvoSdbvbiouUJa
zretuEt6qr48tldYkG2K8+qvCZLuYYN9xCswVcjQIiNekBzEaETlBc11zBDq0qOoZ03Df4OcIkN2
mPpJbvxfs6fLi96dZpN8XF+OJlNYcFHVnjzQTYnSAuV70hsU4FtP1380Ec7v9nZPXpBR7N1P6orM
iNY7ICyx3tH8hokGhk2AdiTCTNhKFTtnyEn2OqIrmNiRm6VOPXknobonoCRVwW0NGbGjbXCBBQIK
hc/y3KFR+fMrLeaPMQDZrvolKeKp+TrjFTRDdsDUwLylmC2RLx9YgDk5j2tue3mwCEQpWZawCJN8
jgABeLGO55nEfn5nEp3i4RFCe4RvWinPTGTq3JYVhT59f4G6y+JgoKMuzEpsNJMamSN5so0hFGG9
t6Gz9h/JaCicfJMLn+lUCfDMbBHJ0ZTIAeZYZw9OCCIhICCi+/38V+8HbJeAlrXYXQsw6hec5AYL
2twIhvEvhs2uQq3JUforZBuDnK2MZZ8KC6C1eBfS+PleKhVzN+8ztxw+4v6mOMcSylokQLf86v+P
lcnxAVczBNqV9uWQnYRVlcx1pfzEvXAFqMrLPxUHMG1eWGHdBw9gAKgdAnRbhUB5AHy8VnuzTadc
m9YZbsMHCIqJ1wZFph+kwuRn1q67SRRi4Bhaw5ZFFSQusMkuQUyFFKXB1Ezp8+hQI5WkVJs2b/95
2TEvDSEWP0YKu/AHjoBKFVLYrVjIAUa+h7MWa1H3cNlWT6/yoIqP12q/LLQCtQR828S8wAt6A0tD
whFLL7K+mSJ3U3mwV9XHaSoffc6ybi2A+kw3PCa++qBlrnSPQHf79AH1wD0CSuq20t22mvZvAKYB
Rc7tANPEa7kLh6nfWqKXBjUA3miR+xwOZnPhuGYLHeVRI4vvtSyszDAdA2H6KhO1Eo+eCWcDlaZN
bHPRJo+FIx9eN9OSiTSFicXeNnEEOVP30C8kFP/CjzQlBs+M0G5kkBvUwqpREj7JeJ/u2KEL1AYZ
hftFPPBhJT9NzPTEAV6zeUIZQyVHbx3EoIjlsu/MmOO0jPo5eGwCJLJrATobRPzJyluuxoc+m6KX
cJ1al6hFW2dcDS9pSGrM4x3vxrRgL9+P3dPPkJIcgx0X67OInS15YdrQU/9o7JcCJIqR9AaEdLYW
4JNvcQRegDx9KE9QROkC6Lo/T69DmL1lFbQnKli7XHIweciFbikBceIhqOguxsbeztjHUpVIfsru
Zay+Hu/lIGAcphXI3u3EhFamgs/CNnMQNIhDLBQnG6BzBB08U835Tob8QfR2Pb/Uc3P+pHK1CFqO
1OMYSkU41Y5m42Fub1oIFCdy6mDziw4yHaLO3KSFBS+z0fsXqZKkpRwRFMxM5z97Sjn4qubUZgr4
e7z2X+UpTakh4/YqVsnLH4vsYEBM2hZTsbwcIcQo8L2cdps4J33ZEwK7FuveQE8gwfmxZ3CtZw75
5LPVDZd9sRuf2EZgryIrQcDwN7ckw5jsqMUDSHcsYklYeShVuYACXtauPYVmlwAj1GqZSsushtSa
InsbCYtDXz477ZOdi7NQ6iBOwbRJ+eS5rdUiIVk0A2Y0ZgAvSO+kktFvaBcGXQS6w0vork8Qwapk
PvlcspyUfZnTF97pczkQO5uRmoMJlLWznddTKVOqr0CZk83YRhMOT2mEHoDwKynmGCY3pmyHjjr9
OGXbzP7dxxWqRx+zt5bU0eYh8qQ0UV8Ki+qGKr4URPnPo/dQmPGFWAxAir1TshyWQ9l2RjhtosId
r1mCvxP2ZOJJLKZUeu7FdC5Qd1icVVIPpg/cdNICMT7+1r6n72fdVQ12UaQfED/9mEV/HoSLczUZ
MbhvhV5vC6xL8ud5M70kGs0yDO++0s/7J0rjtEV3/GCLyaTnO9QBO+vZjGLK9nFYMjH4qh01UEro
7P7U84RFbf89zfJBqUMlHnBTAzpPB+o3/6MiD94hMirRYNYPRvq8kGIj/Xho+0bVyeXD6HN14SJc
RFYbVN6KfSsI6UYBdngsfTnyiAd/SeDqGxHFFBAdivpsGLhp7+fFUbHvbUSupl0tT7VI2KriGPx7
T89JCb5E6lDBfbH108xPWBovKT5IdW33C3u37iawqV5YRvrWiPpLX5VUtRd0wKimaRk9zNehdiv4
MWFAqXNZ6nutcN/GWgshthib/ulusdr2Y69Fw5riocse2h89xkWo8UboFrWp4F1P+zlUy7CEta+i
oqhqY7TMw7x+xBQlKwvvLdpa7WXzV39Vyo3IzeWWZszqVmzy+sf/6eKqrPIHU3X4dqmV9URYAFCv
Un0FMkaofpLULH5Q4XhonbvkfkHSRurvJvdQGU4uY2/B93TnIXoy+6Xc7zpZbw2g7xKKrYpN+Rty
k3QxNKyMkpwF+cgIw0nlEL/Pq5n0+oIt5m5zzVafpZlYl/I1onDfOaZFYKVMDMtntNY/tjEj1VH8
QFz0d8It3q+Y4Ru3sTwhi3k6DHw6hpvO89y57IUIgsK1ypIj+IMsYKoHWF1+Yxsc81L8puSkkJb3
3JzW1VeanLi3ZynQUGcsHGnjG8/eCxQPNk/HBrGgRUFE8BpFYeH+OD8U208hwnRgCq5e/a1ydd/1
TwlrtasyZAnAuG4DuhPRPpkUcFeG6RBGolaPbbNSAHEpLZE0KYsJmvZuRrsMe67lcrbHjd8wNodc
ibx2rHeC+gjUShTfil/tPGVhT5mAm4Dc68wVsv8wb/+FlvK5EsTyu6mlIYRX68ggGiiivjALWBcm
OzBM/boq5D/nvNe74TUzKShpZm+ZS8owYbZRIPu6kKpBx/x3/auAR4NIYECICFxiXtkkdB8d9zuO
9b+l16adQ9354hdwzseOuTR9HJqF7tz6fozG96ilmRwcGndI/rLsNtruj/jjL5q+OUEkviZtkhT0
eGDr5cecMWeQPHG2INN0iF2BIXVZuwZ5ct3g2k4d8w/yOttJedCf0ie26wKxSisiCHI1++EGWiUh
oj/RQohbsknelcuyJubFZlKWn38OU77M3auKp6iwrX4dTGDB1SGwd0bvfzvA7KhrNLCYOlF9ZPX/
Vo/785d01cEf1iHFs/NZ0kj2xJjz6kAtgeHq2CjdXIJkjkUFylMCm3AJBXxD1NJ3q9/xZkPRK7R6
ACRgGtgkXETQDiJYF/qeGEUnkOsUxa4IefXu4uFZ59mP7q3kSDC2TWVcs85oPzS8G7gKKV8z8XtA
iU3YEixtCLHUkaeoWUwbD0nwCRPrxHuQxVX3x2Ugfwcti45NmlWzy838523vsi+s1nrSpWSKRODD
ceIqWqispJJXWCU9jOPBNNTejeV8x2ft4Hf7Ww5j8aWAXYako2rVG1uNEQD6mUdHTaShPJsvFN/f
N+HF3Y9cerFr9Fw3MnlT9Uuglz94LqFkGsRQI6INch8iDgWe1rfnZ5WzvlMyyaxqJ1TSbhk48q88
fv60E8XkyVZo/0Y446cwQ9Phqewr0m0I819QbaOhvd0RMu2INiGtrvCSIIC1+C+DvYwg9Hi2mByZ
o6yZq7ZbqFD1vo9b6FlRODu82UAGWQNiVTnRQo4kZxiaJpWXXMSeFxhpEPxA59kB/LWoZGgs7UYk
Ev1cxhorO7x0KuhB41LmBDYkMai08+Nhghl00v3RHmzYYdNlmim6EAxEYdIKL5jnU3ydDT2zrqyv
GHoySKDRT8FS/5nNWu8nHJqKz8px59aohtQ4NTETL5UUWsWGH5uhY7zdnp1MN38Mma9AHY94enJC
rZXzSB+9S92tCIzMWY/ySEW8fKCf5CuH4WFeZrvU4VBsrRJ3Jv2tMLjvNzsdez4HfO0mTHvKoIdd
J6/8ZsgHWI4/kWbIccQRmRrjnSjA3dL36O1BZujvuSmWhzQGVwaV1GgRZYGbgS+udJLubOj18YtY
gm2QUCN229Hz1VZPSLwfSRa6Lh72dxURgC+xNuVgcAK+Id9m9O4dmuBD0bwUnb3rDIknErExBGkw
5lbQgxytNgP/pyq1/Pr/uFdb+h/Y6lq85vpGYNVydxOvS3XtET1MqH2j0TTQQky5Fwcgs+nixvTK
I1AKbZruV/u2Hu7gU00AEYkmaj+tgLxT7t0Pr8ot3yyxh3qz3Fo4En5qI/HgBRhD2/+RJ8CRg4Xv
Bc6K1nSQWD0dbBjcoqrML84sytvZwPNZeRrxZNcMbDQGUlXpAgHv+rJaQeGObiCcuhrPjPpzgoEV
+OYwkZm9jwib+c5+oSpRBcktCjleDCYe8o+EIVWiBRWB7tsv2x2Y2kWd6RMqCCc13h+bgMtag2D+
PBLqpMOPd993TPz+MVcXxgJYtIL4wEWf7QsAia11KmBZFgsvzA49EIpqsKx/gCa/Jfg82RbDTFB8
DNly/LtrmsXFLCj4T8RjlOucQXG6l0hAkJDmrLUXUUG2Z3C4xoak3XrpwrB7u2Zj8AIQrjIgRmUE
lznLj23L33+YWdXFnVqcC3Zyf8EyVcaJR6H9P3Yrbv2sU/sIFcfvCeMnph/AIkilLa4c3ZnmMGvE
STkfpMQZs/rn748WlUR/TpRUQxmXWWwyjwm7I5vf7FLjuuNA3IbxCUkvXOcBspEM15tEO5ZdMdgP
77ipbvO7Sh72HAa/Rh1wQvsl6nkA3RVIeskCFgGNgd8TjtqutqzMjTzvCmi8+6GDN8YxJUVd3GJ/
jBWAnS/ZywibBDm9VfaSiaw3Zjyoh31E3FT3TGxyHzPUQVpIqGxPPw9FyF9yGdb5gtFHd0GBxCIZ
1/VS9tFJMpOCPQtyZWv5q/qzg7/66LPZ5Mv/Uk9rr4f8Wz0Wsilxt3KLG3f1vjMxT6a//gEdUfQ8
mlLkKGgB1W37cBm8e66p6qq5efopRLK4xBLp+wAz0BwDkoDRh9r1HO7DUwrHdaqtLGnqAUu7IqIB
cvv373zLSFWSKuuBt8kp3wGEuisX/jmEo1w288g3PCD9bW1SGvfpoatriYGNf2S6jiHfd1X0snYc
JCIZgVZnH0oRv4Kg7eT7jZ/0DLRZ+k5fbEDhbeRLwEPd0wwK6fUwFhTABahXp9DpOsBu0TH3Yra0
kxrC9BKppxA0tl3vCkeDqx7vybTrQ2BhVrM0+4CTTi8L47ORwPF4RbwYgToyKvU3p5EtNePiUYp8
m5lPMz/e4cOgb3u6WtPOGsO0Yn9Apr2oAohu4jDIgNcFk+4Gf8ERT7oF8rK6HUrcsX/hVQ9pBpqO
bMu0/5sDsz+tD33vxGVWrD7N5ge7R+b2NQEb+8maJwZumE8wXHyo7FENaqOa5gOfOtzZhg6F0j+w
OvognnITrMTY/Im8Rv7dpZ0F4joNLKOn8WrxeUywzUQU+RMZA5dAh9BnkEOSM3zSATTbqScEQ+Wl
dOERXovwHqECzYwVGVT2XJTx8pIuTW3axiziYCsqovixSKlfSJE7+LiHDtCVeN6LeirubVtxKs1A
g30yhJg07rvDJodJaiGHCwRdfTg5//Nu9ImTlluz+70GEsTlK/8lkgX+Di+5XfvYCU3VCozflEMp
eiS7bH3uG3gQTjHUtoIrPbVIsEtg7HGeOQiS+owX13I9VS9KMzsWj9ydsYyCx2GOPyrNfURFQFiZ
36Ku5tj4MNonCPTmeV2M9wSRPiZvAp3FVTd1gjPsoWa8x72AV3/yMZLTS8r3kqGoGsFblpz6SDCO
xuEzMu1mBa6jl0nnD79tcidrgn1THnFCA1WN1oSDOEEeMZQuPtkwQfpE8Soi2M5LD0//xGIbUK3s
phjWvZjN8EXvVWHaqH1xM0+JUPCjomEEtVrr6H4ouVUQI1TSt/GET8uoM9LS0nrkGKb7TgptFeOz
S5pjV9mKduU6SLRrGXtGm1EfSY6XBPQy12aD4YBgvqAsa8E5dq7pHwAdPGTKLHZRGy1BhzK5XSot
JDW7nY+6Q1+ZAw2McisrbzET/hw6jYAfcoJIvFvHwNuCWWtNtzP22dFSs/2/MQmI0J2fkX7qa4ej
sKp2SHmg/B/n8tepsLOpn5QMnDOnKO1Le4g9W2gSjq/baWFc1aru4PokgwAGm70hsspVx1jQx34H
XcXFdeW0h1Vgsgcp5cijIoSK+bghUum72aSsUudnQBO+Rwl37gUN3ukQkOiTGr8nsJ0WtRCqMHj7
5WH2O2WQTyF6nGgUIPrSR32yFA/IZaiDogm8+in4SQLtlHLbdC5wbIan8ds5ndaiEA3IDkaPlJ5o
tW9piarU3NasB8ZGVfKY4e9zBRq+FHWzQ/bHjcJRuvNfqD8tfJ+gRwmkYsMPHW552GfN9nSeIrns
DjH85ycO1ziJyG3ebCv17qDxlsX5pSBwcQC3notR/eOSJxpjOnZmQ8NPkc6yV7n16KWHU+/q2cp/
/izOFEpVq5wIWf/K4X5d+uDKpktOvxTn9bqMJWE17TvAMfDONEf8FCU/A+uMXMd98/V/iDheQk9G
LAzt3ZM4wNALNSki0hRFvnF/ls6GEJQeSMW5ZKsQ0jw2T4pHlA3SJ6wZGWrXrpkp7HvTJjRRq+G/
NuUelmywssmEz0gjNjwpA+Snk/u0LPn2yRgp2GvAK8kk/jF9b0kxrxJ+JE2TH0CSzb2ZXHFu6FgY
OzpbTalC77+uKzjhW0W7d5a+qwfn20X6qs0fnkiCV+MW355vgS+zb9kcyUrRtHG7NUwzeXA1bmYw
8FDh1XJnYoL9lRUtdZzQ6JuY3FlhRSZ68Rl7hegUo13zrxKQ+E0zpSDfh9IvwAjRfhtmqAkOq2cL
1vSZBdmngy3V4vKzMYtVFQcpub6laFrk9fmU385y8cvvOx7ie+aXltbJpS8Uq5t+Nsi14kMgPQXM
xxh5qwjO0tQNvTdA/d29b0PzWcS3q0212u8fD6EYs1qU28LOi9Zf8WCvcb/G0F6FvSzJam9fn+Oc
Lye+/APJjujA2Y/RZn/UWrrH7xRq84QbXKN39jcpGmWnYiGwwY5qWgL+dEicZYRBNL5BBEe9DtnZ
ChklJzF4mikmTPOpndLVujkF1ytBrjJiSc5OXppRWQRQeZcYUe2p5ZozhRdi4K4eyriaFhTorbSR
FrHV3hZAXAjAdVr7PCs7qyBPPUuLYIhKbX4zCWaFTJRW2BGGmRAhIeWu7ZX8hRpgi7MjK2ivZnlZ
0mtUbcBxSUQpKgg9pBhJSevFO0yfV9OmigvZsI+FWlgBgLIu4v6s4EG4IbpPm4ersXYvI0pFK3y1
pDIIDrAGpXbL1Lqgu5N1tLi9e7vv73f5Hl7cm8b9sxC79bhESpuImGLBb35GrQx7f8jULCxgsyqu
HdhfXYo4diGL9QI0D0Ma1nFcbgCyeRGzSqlcFSSO9YjyDn73wd2dCrpg6sA8XqmQA6np5lAtB3wD
ffCHdeaz4jVSoG2C8B7O597/fmGYYbyIPumLONZ6LhHyO3eUX0Wn9ks3J72J1AX8HkUU8qxL+3i+
lUV1SPRfk9fWPMhuizGhRMTzf+GxyfOu7QgbnV82Le5/kAxv98O/89TRt3h6JYEyiRpxsBETodon
blBQpnQ5dN1tpSIv67qdP3j2hoGYzcj7sKedvFtYwqYRhwf9K67n+AEG/M34FTlUj5r1Qr+eNqT6
PE6y5Wr5ePelN3mqcmsWwb60IQBud21sYvFpgdXpQUIeH9xyRg+XSOPaBld1PDjnxedHMeqWAcIn
OgMZcu86nEyP4jJe5YV4ydo+wwf3FjBD9q3QWFbIb9/DFi3xyNTXm/DR0mxzBGp1D+jGklaD+D84
mjkhG+sZgzYvaN+O7boeBsR81rMqLz1LVFHJtiPzBO2Otxv0WM8Rzx5F+B2WIwLpEMDtKTsHPAu3
7GhZ6/pw7PG4Y2T8F+d67UAe6cnZoXmvXyEwoALI7xOVXdO6stPSsr61zxk7k5ZMgW3qTqNc38OU
9Mdd2hGzrhper09WEa4wR9nlF1Qo+9NpN8fm5zYrTrQj2ETyJ5SDWhTzYZ1RgtwOzau8Rkig3Y+f
U9Jf2nm04+rlr3Rnh1wd8Ey96u+8CzjzK+0KRS2X26mRkhFIwUtCI7V4teFeCyx+K0hdEhRIAUnH
vpPgIL0fZMZ62vTS3AO80+9Z6c0PX0yfZkJf7cd2+MK9vPngd64v+N9KJ3d/8lZhOnSVFVEccimk
l5QaDFXnEdJuPgkvVZhpqlcnvzvDG8rC4l/LGm6q5e2T9EUmJKyayb4rMoD95ZgmpcCNGju1b/wT
SFuTanGKHPzrduQsgUX73vuYFFzCsYfpvyJ5cvsfqpIyJ7x39j8d1AI4207gVA3u8TVyfz1iH5P7
8+UDq2Z/ZzV5VDS3ksBA818tnY/kzLA/FAvoSlLk4EWFw5hTnh599M3vUPTvBeVOQNXVPzBKipXo
5EYCuajTpR04BQrgH3u0TZRu5WvQE7WAd4rARscUID44toIOBVlkzxiESOt9nDE12HofqQUVfuuH
+McocsuOI6U1MOgAWC5HORV2Ir4R/Y9Fzm9vQx2KQ0oaqCxYGpmqo2P1mpQ2QmrluIJ5Vyd7T0Pp
WVm7l6B9CToJ8sc+ezqPkLC/94zTi20T67NBMZcJjDq8ZZ0FwbIOlC+vbnNrO93omdvz9Roxfi26
ws/6+Y2xvDs0Ac9VZa/fG7/wlOg1O6eJ4aakt6IxUMWUgiE0As0VC0CoR2gZRRfVLhKvB0SD9F/6
t6yrI/2jPuMvfaAPBNjip0XnjF8HYu6utYjJXLPGx3oa31rkST34EE3kmBifCKuLM7iy9Z6ZpJlW
9WJQUcj4oeM+ElPcy79ceM5VzIu+MlZbUjYqKGfF8rGHhJRiTzKO9VGhTS/roWQo/gvQHJypGYhn
pBceePaH63cgrjJAugTigDJzYr2sdYxN+dMhNBKDDiCpi2KGD9aC1wMpcr8VlKw8B1Su2r6SPXYl
qUjnHZ3P3ZNlnlULlejCXZ0rjrOUTejlzsdHcP+x326tXO9K8ewy2H8D24m5p5UCJSgRnyI2Uhh7
Zc7GmAoDqiOnJOBGTADnCnOmUSoS2EVBFAxBbkbizWDR0oAqqC8n0ZFIxjFKh4eD3BLTDNHZ4gqe
G0kDGqVqviAwCndLSpNiZ2vLFyIVmbBgpJXKSDmQbMr/Ddqqi9ADBivOp33mnzTT/gZnU9nlpoNk
w7Wvgtwa3bJHnDpfHzFu69VDiVDcbJTnPWTkCuzNXAic876gfp+1dg/Ot5bgmioncvu+mFNnUT1z
CSyDmQQCfp74CjRoTjVZP5+Ys00uDyRWcwlPOBID5oez9+s9e+SVVFvnC7/x0nnyn8p+SyRivEwO
JSf9xlRHHLxRqJbymtbOHyokWJY1/XCxx2uXoACaPrOdbc26nEyFmccgraEj0D2dHIsMRsw/2SIl
FXWIargNpRwGXo0yoy2L0jzark4gmSDYVVlpiqZfd7Z4ggdlYw0plSV58h4c27+GNHIDzD0rhHw5
Gckus9f/h8n8NPeVTAzkoeMqnSj/jDgBBSczRjImtCGW1p3jdJUF3Xb1kmydiEPP+Qcd3d2BwjBh
gy+IJv1qzjWGm2di3LD2grILbSGEjQT2NhCaKalDumIYiOlOv2v1cvDIktpwIziEyKuEKdS/TU7D
8qm5Y/j9nB389Cjdb3Bw/vo24NJB96HKw1NoXy4I2akAeY9h+PHxJk1T/hHHy2BPVV1ubNRUq6aR
fASnxe187LiNS9j407VioJTMjjU4D1WfAAjNRkfmz7BeTdKJRsLGopRYZ57I6v8y5oVmF9g7da9i
BeLLNskTh1hdlTEq2R6y2rIvaogwsBdmJYYpp//Rqx9fDMZ+biGO2qw1jWxr5+5ct19yksHGSvCd
IFUGn1fnma4G+r8Lk27x/mm6e/ZmHCimdNYlRb9BGq7/bEL60jR0Gwa2cRexLgWkfqojXT4zPFzV
iRIyyNGmPnGIpgWPdWJjGt3BJmAqkc8J+6N7Cd4DFNMb7iIGSJAo34UTN8ot/WeP2tH0ejNhxZlL
sj4sqDisIJPwgPB6LUDacgvpqVmffPC9vbSUN3iUuBwASX38tColWHG4aaS1dRa1bBgY3uTZGPoi
wR70+wlHVgsCFRXFjLBDkzqVX9OhZmY2F7czhB13CErqY8AV/Z/5q+28X6iSpPoefQZ2udjviUNN
IFPEP7y1x0KPVmMe9Ts3brGMPivpGNS8RPqdE1NBItlC/yGuh/P4MwqeqSYtUPkc6h9eVVn8/0cB
fOzHb+pK8prMZbFPqkmyLjn8MbP6SNcXP1pBixnji9dUXNtiekz1Q3+ZpprVnQLFWniS9B2rQlXr
5gZQXc1DnRIWcGO3fOO+LMaXl9eAERRSnum8RDdrV0iNUm6GUg/grIsYbLm41/XKBbGOdvV4AYOl
2xyma79W1Se4NF4y8ij8XdzijlPHm85Uv81OuPul3hJGg2jviEOyjgU2MOLMFfwn+YqVzqWKIvrv
pt5SFiF12+AfurE78oEyylLvdNLDjMKTFu9HY4Lfs1UY/jWkZFAlc8zhGnZ8Li6Un0oFh70G+qqf
yZP0p/YasR84xs4PV1IgFqap28xYNU1ZJqWH0t9H1/0GUhX5Sjnzv7cOPzxyMO+SzUtzhREMfQu2
CQLMKw+wbu3KDMsbXMiu+VlgPjuinDq/I6QmSqiE/v8qOVis6rtgbCDSZWckDfxeSslxt4c16Ff8
9Km9ZR8+T/DIiSCuB16j1ARKJuk8OkMFB3a58O1oouh3p6ZQMbCfELTtvDvkL32Em7eJo34yaQIS
rdY4Ycbq6P+2nnCKJiAPudwDzLGpuqE43CIr/wNi8IpD+59XkXPWMfCkT6mwPhHfWJpGGKlxG7fn
X4/UEtcJfrahJHb1qOIDkRrT2Z3Y1QTNNuQ2KMRjIIwuwoX/E2c5kGWLfLNYdowIbDS3uGcoJEkx
Pz8N+8PatdHUIRMH0uCT0W1Sb4oqiE5ifoV64l/eHsSl53p148vMrZfcH+Pypq6zZfQGJlIeUYuz
oOdNj7uxPxuvz+fWHvNWT7UxHQJxZQU+dLP0S7aoKdcrs7IEc57eVO1FPu1lPMfjVWCArVwS2Occ
YjM6sD5+ITJGRtvF/KYU4Xr3pUjGC+AkE0DRvk0D0gwcSlau5eIB1LGfCVi17pyOtlNbo4+SDV5M
548RJRwCDzsnkixDERBxyTlgzU5+IeeE0rCLrwbsQ8R6gGXkNFlJdu3c5EtGbEKayoQYz1WvexxM
CEpb9i4tq4Nc/yEVAPHCQTFODLO+/UNklY8uEwufScAC3F1poQ40SWwmHP3yMty5rhTvS4vWqeKG
NyC2iU+fJf3BpqeP8YUNRbSDg3tjNJvB6p1p/GBF+Fmr1Rmydr7GIhaQxGbHZCPRHAd3UpE5cPB7
Ht6WjJ0KepWGWuurq9Q7mEm/vqsUtc70R1c3zhZ4bt31rnjRPYSJgpHFqRc5eI5hmy6bkx06URh7
zWqd95YCJ8RfHw5rP6/wnyxx4EWaezQ/1c4/MF+U5nIIEzDNCV9OLoWviHR+kvk+bgCtQwvSUQvN
nN1/Dt+fn8xlY39Vb6gjY5MAyasTXU23rWClwV8DZZlRScDdeJsyH/CxzUilKt8l8dTGRg/r6bW9
pe37M+/WzvNlffya/5F3Ny3Tx35RuocvdhkgmUyd5ph9a0KzYLTdh0TaFaYrSCgpsz6sZZssuUJq
ieO0AGx9wEa7PrcjZdFO/Scz1/EThEn3CcbGAtE4DxIYPMeTBw0ug7tTwtY0ld+Aue+RIQXYiuSR
Icu1FOsddYlvo9TpztLw4TPNXAWstehunxFe+HzK2VBry0AF2kNt3KazpuMO6F/JlmVd/Ch2pNx/
jHSRCDMmvveZP0PHDtdD/hu+bBkhJX7mj9dhu/CVJAO23S69AteJ1Kfdu2cC1z46sxC0JUB6Pg5K
4OX3ShGuV4TiZCd/6JlNK6q8zGeVTYOMUIk3rl3KpO/SyNjfMo1ozx1eDhJQjQUjYv8aypOsQcTj
4GENfXpESnBc5oaWFf7m2uMstfigK1QNxptYJTBKOLoMwGBuzUFDPnXb+sxNVGb0kwQJI5HOJI5N
BAxud2EKW2oY1+ZTc3rzoqAvkw3cXhnsZualb0n4MAfXVZA+vkhFfcDV6is84cn7kGUg9mwVrxHB
bnfWoAbQ4GuEvofQp8zqvoBAteJ7d2T83rMszqaQfuZx8NjGIfi+XgbSSMROPqoX4/PSBEZnsk5C
ctuq0lkQUSodkE52AyrpUduc0uaZKn0m40yXdtbj6UbqeJkbQYWdTYzyqHNyHrxcq/F9a2XOElqk
VRp7K1WkKS9QiIRZFg+Aka91CYG6JZJgy9DZoZ76KNBe8Fkh9rxgxldNjXPoXfXmClNbA84IpI2f
FrDb+3yVrt8UjKk1XbAkajuHV+AH1tGkNu0HcjDJyp89QvdQuuue3sw2Ob+6aXFNdZmq/ZdwZjZs
lLWWBktupKZz/xco4seGXd18jcFn7ozsB6imht5xGGZJ6i0s42B+IHQzX56PANo1Lo7g7WZGhKHc
2yJ6+tg1tKCASfDmfzN8MXszEcmfaCapQ3S/QNXX5MoN4sYxb0qQIS/9O08inmwQ4END9IdIS0Uu
uQeEywECairU1DjQbLaoAdxL0HMldGp/UN61dppCaydBzOFfbawpoxJo6EUOC13vtv9+vZYnlicP
FfiVnWRLucS6/OE/A5NXjoXQT/sR/EPP28tKIsx8YUirw+Ldh1ouUWMLzQEz4twknwaYdmxRdEvz
Jco0qhGkApCCGK3EeD3E6T38WqJUf6G188s7g7eXx0COHW8rMnkaP9/8bNh5qW0SZ78k4RGEkfHJ
MIvzRLAl/2rbydV+vxL+qFtkbzz8wPSl5YBzbE3+LnX01kT2eKO58pUF5c57NmhHbiP601PReHxq
5Fduadpybjol2cKJPbjfioROcnkkCDCxMMiFwL2XjsJpkdmnjNc7CizLeQS6dD9YXcxnZNeH6Ach
lvblvSdkpXmkrYQNLdFWluQKU7s6bMYYzuwQj5a3Ofw0WJi+jZcAnQF0NY/R5oR8A02pkQ4oszwm
ifc3mwtmGoqUiYP8m8Y5g1UeytdKx8R28Dje+20QdaFLquiy04au7xcx5OfexVCMfOme3JslILmv
ItFdql72xrRjpj61V7RoCgJAFQWTTJpJIBICJwuyFAZsRVIRzuvC/FpSjWrKmNCg/BZfiDJx8/Ax
VvLo1ZfKDwzOu4Lh0TKXGOm9rTsYJXNJA7Qm7PguIoQNhH1Gm5/Z04jTbU8rQMjOmRs7v0CijVfA
9Vr90CwInsyE1o3S6I7kTQOY2Vtsx1f0U9yGAMO5Ly0pQmkieDOGiNrzsoq7P4HfeS68e8kbRuvs
43377TJv6rD2dlNYA9obRs3kr16wdF6+I3qIdZHTWCZHeOlg89Xub//y8GypurAo4K5jBopxM5TT
G4EBGd8vXp7xUPcUPhbGJfiKi3XLBLnQjm/2CUcijRnDk6JP1jDs8XYbvsQilDB54HsNwdFEd4zZ
zol0lFqPmOV2Aex/wW9WQ09hF1dHugu9oQcGreMdU0ykN2LDEOK69+I5qVy229rI/SmGPzb9cYSN
PEPqhaqXCM9JBejlJPM9a4uQPzuHlOz+ZZfuFHg29g7xOpEDgErtYHoVCBmDWsPtqkjy+4aJX3Jo
ZVU438kG0qoS5liKMB02Wf49P/t65afArhN8gU1tWxVyRYw36tkP8WAzXvjmHtCIKVilXm+jUlZr
9ZNYu6ypd3ATPTPLXHW6rtavd1/Uat8TvzpwOEztU+KGvZZAeSGz052PpWzPNnagTIxlfosxoeTP
EKyd+FiGjoNxpfb/6CrMRI6s4uwIrdIT8C/4TKJNtNFW+DESSmWsaC1hGn3uxGkN4geRruiOmkPM
0QlnIHAsPL+9jSPx7949xNeb+3UI0Cr6cfJDYUOVxCRoqcLKtiKWnclWdyaW81L9w34+Yl+DwAMi
7Botj5VwEF3GjSH58w1f5aadXGOv2j1OuoXOZGCQlrw7E++9xwWcnDi2/BTOSbZLZbB+J7aCC126
zv5Xqpd5yi8zDnYbcqM2ZUeui0S2KfVy84aNpyjpArE8/BgPgOviZL8OZ6N9dsxpJjPtVKwpGbqH
vH8KIAvXDCCjOgWmQBafuWBcz2t5Li43Op99Is3Z+UMEUCGdihTdjye+Q04TwJSyi+XnmJUkxOPQ
Bi4N5k6ckPCPqoSIEPjeRipZv8OmuH+TDfxJjNx2pkBk2PPgFedYN7FOXj/MhiHL41//QlHn5t8V
/LUJCY4IEALRIP7LrR8GjA5XR35RkxQ4AbG5CHr1TH1/krfH8HqXtjPVfkh69pVHjoZ1+sQNS8Cn
Zg2JArZ/tnHkRLlT0gQnluFHNr8ext3yjRWvc7mmdoF0eLpu1vHFlzmto+SiVp8W2WkQtpNW3Rb+
HGgk6YZa1hktYpIWlT1CqQw2n4eIhgkFN4w7JkBxOajAhJc9Isx+uTeZn8gEM6M58Df2wJ6/hfJg
YHcUHGDsx9MQ8HAxHXPKGnamkP/TO0TsX+tixBtmmKbmf3wgBEB2+xfveIB8ZW212TfWqYdB3EFM
3Mp5bLUORXY5az/zH9ZsfvflGXdj4/NtkuXdX2yj9blMcRV2foXTnTAxQUUXa01GkXHvj2kDUN4n
+HIUihEqyzL75tUYM0wlz7FzHK6SfndZRrMTg/Ka7/z2GyTsY79ZjeN79LWod7adFY9uz5ZbhM4j
WRxlVo3E6vAYGiZi9hsut+qnz9WUhOxcBk5CqA3bWugQ32xEX1FiHrqNP+tKUYQWxCwL4HZhWqPB
ek1k0/+kXhYIC00WmdpQE16Lhw2l2H848zqEEaT1f8UmGHnlWdf1tJH3301L+g8RVoZ+ZiqYqvzE
WkLRAtD76nQaFm+ZAXnyrSdRMD7AsowhGBZO9SPAR/3NQCjHbMpTivNa/F2AmhCfKwnlnEFgLlNA
hfp/O8lsoFJGeSTr4y5a0rD7iVuFfzc4cHE47UQgrVvbqd9aK6OtmAVtuB2BKtakDwqbrnp07Lr7
lahYa8/X8Pt0n971AUKe0DXa628ozCwYZyWuYBA+WYZZuwUBEcKOY19y1TLC2nPjunczvzT27zj/
iUzS5+E3CE2C3NTVGPEcwIYcgzzzl74OAt6b2sni5BU5CEmYGHyhD7VMuQALJWoiPdGwsYVVxclr
AxzoOcL5bUA6cXlXhOGZ1pFzuK9PMQpbW2qbkWXq2IfIiPvhijsh7JOtmOwAYaA8lwC+GzIDF3Kt
zt98yW1vXR720A4TonZDtSInkizYdyPlpBe9KDyVWli/bisKZZeP2n9MK4maEUjBRXmIkzdM6LQ1
AlYEP8M9Yuilw3Vzy9Qwrbkizy42LbfKGoRwI1h0Q2DFzgdKPrurXeK61vBj0XaO16G0TyGNeVTx
jV6bZlJla6/gtUyWj9KmQwm8qzYqfsPcYd84yasecdWVsAUAH0JwW8luY9myekAmCiNqBJHZtnUg
+G0O9aGOZlMcIHX8nRg4VUNm5aZdkvBh5r66zgorE9stuCS9M1wOI1mwOFcvyS2Et3lf1QclxTSE
hbbcfzx9oLcxKg6AEln5UzDkOsJaFTHdyClW7A/5kdGO68OI0fvFTdUw5TbWR8Gov5sux7OvVo2S
Fv6nDpBTkBFQ2V2FXDOGA1AThX1dpv2YcNKZroCeAO5Tgvb/sJBqBQ8thSGNX+g0S+XDVIuAEaGs
FLVjMcvFT8MNQzSspH0w5z5Vr94QKzouNsnKSu/fyfm/D3dRyxjmO1tx6tPf0owZWBY2uRg9h+KO
ElOuCXbCTwUS0Nw6uuynDvPjF4Ty2LuD9zPMOKro0jywaA+CHESP3M/ZbZS/FQMFeBOeYIG4XMBQ
tmGJaaRi8n3FjpB4c4ldYAxFhKLS34dtnwkQaS0ZFZT3Rlxg0NqHCoxIoMlV75dhpCSY4XJ7ba5E
pz9gFMwQ8B9rjji9GRtqmSUteRxHUcwnJlsRL0mviJbdA/fM0rqek4QWRLL1nIcm6PAWVYRDwsBy
SAeCgWBY+rhFm749L9y2wQ6QRczYtpoAwmHfknCHFaT/D/6qmFrf9xd5e2ZhLn5KlSMcmyHdl/tR
++FANSnMSOAHpQOX9KLPd7Qdtj92LpvLHm1JtUW7J8Htm35QS+8zOeD7KfJtRi4/wsRS/h8RphH1
/4JCVpGEMmK+BaH11BaAygITdVL5TVJmhrCZyjNN85dCuj4aaNs4bxtpxcKKuF93ds0ijAQcpbQz
U4L/V9cp57Zl/FGL81UQ+4w9B7Jk6XuQX9IZeHUcBglKKnfQec7FSIwgWiZ4SqRGF2vIFRGHBuJa
B9dmtG2a9ScjtPBojX09J/qtfxRMjb2nfHsylqO8VSMRb4O16VIy6NEfpTk9AJFeW7onnLbuyWy2
Am0WJNfz3gl3z9SGjLk8n+gFaZSkpFQ0xYgzgkQyVkJtGvk4IyniGBjOKf/LQt4TWdFGsMmj6ba3
kS7w9pdnvvgHPz7W26rIJWBmlmaZhGUIcl0CODt5ss0YYGQjqfsgrEz03pTwi5s7jJdxjFVm/BXP
iihU4KSeWZKjlLndG5OYMlm7eZwg5NvaeAGWdFR9frUKo5BVVz7EnIDddk0bPw0Zb/LttfwcKh+v
o58ldk310rbzJR7jtEYJ0f8vCeowe1+jmIakZXkR3IUlC7AuyQbTL7p+ZAi90QIVpKDTI4r7ELro
wdWWuq6tXzD752xkkrqeK6lejztoTbrqgfblzxDdSlD38jV9xlDkrH8I45GIjnMo6cNLvj6nixWx
gygmUxoJatefrBo6wfdZuYWGpjHhyZPXj6Z3XAUFeAjilg7VPHTulo6w0wpZZNXKuaBVBtylFAoi
AiFwPlLkRoX4FHquR2qnUDyUtLsQrrl+A44UJi7YG+dUOn4OnFNjU7/TZ+be6nXqCRk1YifZG7LK
M9Pmkccy3gAJI9AIeKNeXwC0ka4zq/JUu18ospw8kFJ6+PL/KYV3Nj2d+EopSuPDWUz3oFerQarE
UXdL5Wdz6Xb7d5zivvlOeKMN1kYzL6nt0UqlMa5Dry8FkOfJPWc8DaR7z8KVLn1Zb5lvadIE1paf
S1flY5pnZ+WjoM2GLEspARJY96fr3Xdr7dS2iGWBrpjZRhjpKQXiGv11NDLuF3ai6E0S7HbD7RGw
O9f4LM97f5CL+Buqg70fklsV+ZSypU/Idbo9AWOS5erpXh9CJJp7qm7UI4PpXeapMWFho0S6DXoH
p1TEYibYXDK5Z5aOxUjAZO5NRtxawvq4+bNOw8HnNBSea0XLe0VM6GrYYp5LNqpAEVsJ7onVztKf
U+tjq3mUHIM8GaDYwEt1x5RFnT6K7rq6i2SxDc/9KOwvGjVUyUqFcHfzr8l6h3tlhLqeijtmHjCH
a6Tu7wqf98MD3xvKsxKbrorUyTy12/dwpYWvoluRw8StRbYSV2PjwMFehHsVGuOE4vgixvTt7SyD
xFDgZ+tBCs8tWw7i7Dg+eTmS/YIh1k2rKepHd8cjAYa8CgWiAni+MVVQbthuzhnk4gOUxttBFGVU
CXpAoaCfUk+yIU9AuWJD31PbRocHMIVhoCPw6j+CjluI6VDi8WsvOI7SyxeDfQamKBS/QZn30bIh
ZJuYualXRYFjPP7tUAlILLdzxyaoO09WT1HLBjWpLmJ8n2tIvzctT9WJuvTy388e8ZLR92sxd1OQ
g/KsIWk8rKDtS3zlwtppQIaIl82sNNNWROi0mHroeGPlzqAYWHoPG3lnZEJky79Syt4JU3XFWDKD
a1LcMLhAGE1tyPiHLHzYuSDUL9dplAUBwxuGD9LA4mUmDL94/6bzzpR9Kmp/yFYRl83eKEr+UU7t
Dw9onguDd8cUkueE5L95ztPcgLEj8nFQXS3pztR2ylNDt4uxQCAtwf2D5+0W9CPtDfon6KujE6BJ
0v/QLITUGVv2NIRw6RpP0lan3Lx2mHc7m37hA3N1YpADt/gHNryeQiDw9SpxU1MopRJRIa/C0e3U
m9VVokJAwioYIyWlKk+G0WTIT/woi7YgrIM0yh7AyFA1HPat2WrsQMKRQ1QS8b8UGv3Lu4/5CU9F
+3RoCTlba4DIuhcL4wYKp8v+bb4fw5e/RVoOCApbcm9nQ8syo/yV+gCTAWYGeUPlHFsw19wXIsjm
3QNR2YwY6Wzo1hluLV2XwLM18/qKMZY/RdWE6mfmrJv0EXz68t/QXqLMkC1ZPBLYM22ozB8ub4sK
DRBLf+T3SgLsAjQ3k5yHGzqRvuDyDPPeC2vHJmT09cDJKJ5BKuZJT7tIBVrd88sw0Hy81M0+JiiZ
eWAuoTrfXT/vkL9Ad70egWhltMrx1TexJd5n41RhP6vqQDFsZpo6eCayMPduwxmNhqJw1W+PdiRo
EqID40uzYFjepcaiyLoHx2bT5osX9b6OSVIdtRLMo8OhKIs4MCjZrkyvAk2VIdT1Ze9bOd31dOz0
iJbqhAupSC1uK0ZKXF2Q6lUkkgZEd7Nnrn+2kt25iY9Ji3kX0HlWIJ7v5rdg8KWacur3v/65wR/H
LNXN3EPviP5YgWZr+3waUNjFGCKh2s0geNiKqtcxvekkY29fyGduZRJeQmhaZxDI1hhmYy4ZqFL4
jWpWt1XlV+0ZkDe0icgykf5rN5/cMv7vJS8ujM0//KsdtXmDOtC9C7pZNANVkI4L08+CJslwRqZF
3j8mf2bpkp0Ol8Kqyp5PL8pw3fM6zjmbBfuLcPgBOoyV6AcwJi/jsQ2ObUor52mzQGRIYiM+HRxY
y2ACUCetcyOAscF+400tYyRob3MALHtpfGWg007vObNLUnzazD+O61wMWVjlkLpvs+3P8L57s0Bs
nrQZPUQBr55VLcwc9YT4/+APsaolSQoTj88m2hakBlxJCCFuPmNVYPMgyYrNZRoIg3OetYmEBSfh
8jhTg3Wl7ya3OvN4brfSDNQlgW0ZLf3WKWb00ROGvieTQN6MPaiGpNF1GZXoVaFl58p9Sh8IxmZN
tL4FOOvY/vrsXd0pgUYXueZQ2SqXoD/KSZRMOLWTupvqquP/I6vtxIxONu548HanOBY6zMf9s0o5
1P/9Wsej0yKoa7xN5SrinFKI6sraG7n9nnm9YunEE2ghXoZmVJojr/NRchxjBZfo24PhtgkSnMJs
iD1Kq29vhSLkQa+LR/+6VhVKv0T6dBaE8NwpDt5v+Ciy41YRjE4Aw0y48Kk6yo4UvhcI2gaXwKlD
gcWAJL6Cksj4+hp+E6ezVwg5p0nXT2jNH0cg91t0csmKCLki2LwRQbxw7nwcHhexthBRcUgaAeIw
VB3xbMVosU64PJ+0l+HI+bGkLCIWA09zQl7my/2hdc5GZ77cPqD+RMVP1z6c+seaRtyLRFam14q5
Lx5i6wj8watH9V4g4trYYoQITj3SoD0FS+V7fS1yhPszLkVFlWU/NkcKmOjGOZyw8taE0g2wWWL1
9CU/poPS9nXILCK7aSCI+uHHZ4LDmjTIZYC54yd2fdLlnXvYVC/rcKLmDiVzHnFQN2hr7JeUKWTn
1Xuu+bNngpRC8nS/xmabG+Y8U+uVLMVzCEDi2ylEEI82R5axXoOhe4xvwNv6/bcSfSxoU0EizO+b
aocaQsjDCLpVo7YV8Rg4531GfSwaP84l9wcgkD+M+ezH6HpZKVPLYPn0H/YDUpxA+C4NtxXaQBFv
dhkalkKVWUuVJVo1TwYisJy1wdGKCS4gC3vbLHmtAGnM0SmRu9AGEMsOrwGBAv9yGqOnUuWPcJ8t
Wzt6Ii+TQR9+ZR9BiY0KEBx9WZJsQfsfE53ZRphLKcr0vcgI2HNa3YeQoIk8zNI3BvTvSrDuyrfM
mfz3qJArELbY40G4J2Z/cLI/92GxowMHHmVF0EKWDCGtuM/XxyZSKVDxivvcE9XUWI+uifsePizb
HKL/ctTBCTv9EpEzGMcuDnSCbAH224bypFzuaHg/bR9OqV3S+fG+G6KwEriWnYO++ALF+jaOmLeh
RwnA8qYX8+RP/ws6ue0iE6+Y/GHtplCL1zSuY2na3y6SID0VayLxF/Icnma/wvZOrkq5pUOEtJ8P
vdO6sbOMnByqHS4FKoxB30WoqKv6/YHklHI8qj6+xMjUNh0e+Se0UqHDdiTVlbhdnQVurbj0zSkZ
UKLqO/reNgv8xHozVXBgf4DSQy3YmGvp6KjrkpsRvtDTigDHg7Drwpiu7tKgcxgamAlKeelLeV1B
/XxsiftNhW9cIlNPQ6h5/OZbhTTyJfAssA1yEcJGsmJawRw2YRcJQQs0EdauNhWFjoshPbizVlS+
iplvDBYSuPkIiQe6y6DCwSt3XxZGmusUI3fV6Vvs4zIFx9dOJfuAPmWMYsinTHSWCCnnpoKXSPxg
U3QF6pzTYCHlhWsaJO7BVBDB0d9ylK3jSrzcffJjj6sbef6mYLPcyd6fb4TDfl+2jvEMGTwM1Vcb
Ea1Jz7wNc6IIIEj2+93YxZcVksQ7i2JtHPuEac0yb5GP+pmwxX7pDseaq2KlcWBjNbNNWuFpZm1i
rOEzxz1I2GG2A97dw9tqsXhcsi+s5ye8ZZMrZDyMvje9RSj00J91WACnq4Gw8Gm2YdnthgUQBa58
5VrvgMt3SsKQbLIFeRMCVLpw1XZ9D1wn1YAOtUp/3ZaZ6e9B6SYN7GEd4II9QsHZFET6VaJmOcvU
HfJrPq4tWoPJ19pyOv9wrexJOEb7odwZxpJTn9/HphXei1w3gYKx4R9hKfCKh6rWgiQ4yppdCapl
4Gtv2vy6lTXmxXO0UFo7JuantXvArKfnu8nzmIxYNntRn6A3Ds5Kx3k5i1EpvyeYiNxqM43pz/JW
qZqBOrRzs6syYkErcPZMjcwhIV9ZHTo71882EOq97q2np4ykSbpLFAznjsL7Y8iNUfxxuzAxzd0O
9zBJhaI+GHsdo4xBIhIrmThdfYek8j2CpSKWtk2UhVjeFdV+9WjIhZaplmLo2/1TiovR2ogthc+5
nlXBE50YHp9DLk4P3aq9YOtEph7VZ2fX6In7TbvSH0XBW/8/WiE7W/ThrEpiGyBKy4RBvCKUJDIZ
yM7DtCDy1MOwBJAa3NEv/tjTK1Kb8jr9o1I48AG4ZzdOw3+pYR5xx0X8mNI3iFU8JR8v6pOYjz8Q
h9XRPWlDgtrTiX+dPqVQGy17/E1cptWlNkz22jUKti376ygnqWVmAltVOAEG8Ddxe5tLUdqEc2Vc
Qa7E8daAy5O+T2GpqjxeHv/vYtLM/Q/MOyHYWl5LtRtPMdkYUtkIZHpMz19ym/afbkoVxq4kfcr5
NVuY5dH4TNPavziJG6MhRx4aZtMIiQyn6upcQOyQiT6iX1vvVenL2HOzWrIR5CJL9VRAwHQvyt9J
UiPXJiZq+I39CkPUQUKiXDgP9VFMMCFlHMWMKqT7tCEu1h4qKsG8pgMt6eOWYx63bgJwAnqEZSml
Kq6wuboYILgZqO7dSr3Uatw4MfQS3GzVNzNM/sTGZlITwmYEjyFqqCr+8TUL4EzNpD/3NKaVJcTP
Y9/BrWHShGpGppZ06qq7VseBGW13PjZZpFkaL7HVFoibnDrBm6L3Jjoe2NfedR3Uz+LPnRDJb3I7
LtuZ7NdlL78HA4nqmPcEh+xElTLzHtgBbRC4qvgjZuG7NdxrQ4m106DK6RQTyvvG4RPmZbr2gJSK
fkhYxjOclHpT8DMFvaE4c1mGn0ABfpJZGpvQ87mKDoJFGpS6FfaVhWX6BytBt78Nr4YDsdqpxbAF
Rfxrq+hLZuy1QoN2Gmu84qI4Z6sIaX3LtLhqI+nho2n2x4TcBZSZSzzebYixZ4M+g2wr05ssFNuA
P1lQ+8GCS+6DRTWKcS5OYKMQ7vr4aw2+pWuOANzNd8TiP9FEddYb16mXoCiCZg/9iqfVSp4tkA8P
34V/k4DMD9nXb6UdHC7WYloOTqivTx/hZNxr2BPZyojJ/RIhjb7GMRc7Yd2AviAoqkm23VOE14pB
TkI9pUyXjtj1tEVv7HmKj2pqPQMJFmOzjuZkTtb2h03NEBLKiMWO0+YP7PRxK49sLHmreXPlWQ0Y
e1O2vYVXHU3nnYz+fO2WZjDxToyEj97gRm/X75UOTMtywEC8qF+efenfc1/VamRUuKWcLo4FQ7GD
0CzDtFkQaqO7tidB4MkF0mCvoCiQRxDAwmF8TCcn2EQd7SwUP0I1Oa5gZ3Dk0p3RZv3IAENyyMhV
dql2wWmVrXfkYVxfHvD3BLxZy/4M35V/RMFtSRiYMC2CVbAaJPs5nDgN3qWbtjBTuzg9+0dqiY3a
f7s3Nn9GQaVtbpVsviO+T97fCeVgNngM8YDBQi+Vp8IVrNoxzvxbDGO+EBzGC/gc1frXajwGvJg3
fc2ocxBuIgJ1GVV8AUKR6FgK0P0p+mh4hAFwmZ3ClbkrNQ3QEnWx9VdzOQdNtKbpirPwEZtbSIa1
Zq5ooTH9DCb+QGTcPAQGFVA9cTn/5vQ1knoi8ZoKrHF3j6dMFVyzXW2nwztdEsQHSC4YvvLkkZs6
9BlJ//fezxyZ/a6xnmrWgq83l+Yh3NsPpRJb+Iq5tIbsdrXAExMUibY1AsYeiipMR342MFlfwN3P
vg3iJTxXLqYRjhagFjm/dMLPgPJkoCA7V7lNrwIPpH/3S/F7JpARVTkNifZGuVefWuItuie78gqh
08KL5uCA3enTHdSb6jqu3ahU3CgS3P+3XFMJhb5FESsWk19RE0aDw6lXwaiuillSRPVZt0aLUgiJ
VzBAphhBeE6a83IH9USDJkLH5Iwt2YwTWDjzv+iyhYRvVbc1fH8dzjios9Mi73V6QdCL7UehLKKj
4KneWPy2J2x2ubzNofF7z9vtc3YR4WFw521E4FGjTTt67LJfJiSaQdgNp4smg4z3CjD/q6BNwGOj
ywKg2k9UY5BlwR6cccW/ehdEq/ouYGcFFX05+zN/g4/+sNk+BGB2Wto5rcyTiHPufxVYbA+0ByVq
/xfwIdlPiDNczmRf05Jaaztp/2Gbf6E0QZbh1vEZgpPteqjIXLYxNg1sW28+PXlDbgKnM43daloq
CHt8UPTzJJlY5Ec9ERAN78gqqpPPE+e+b8SzMY2I2834YurI2cYPJZEGnT/R5em81dymTBWIy7e/
xgowy2k2rRYvfaebWN50VgWe9XDYHqxwIiFIkcb89UtvCIM8bfXzqIbrab+0s01GKixZSI+P+/9+
0PauvhUptVflJ3L0tJYlxRw0uWVsj6jRpRGX5WJCxdHWLpDT6Oa8ilvOcbuX4cpOD4tbkAn6luHO
WTgO279NJafjIYEOlatl0ggYUu9SKzrOqEannwsxTL0UiFDrcPhrgY3+3ouWsP0qG+TB6xw2fiP4
jdhAwXSb4VLzxYa00SiwkCa7faV3FbPpIBTXfti/vNYY+m/d9Kh0cgHTnc0oOrl43x9OCJTQWMnB
Eba+TL7KT2RC5L/NtZdKvaqTOFf7wWfHbY1v8t7eoaudNNpwv3b46BA3kEMtEuglpnuCVq67pDt0
pmiVObRTzOxfBcomGg2KtrBHBbYeYDPWGq6TfQBaaWuGHaNw3Bt5ULiR04e0ufAuxa/d1FNcMmBh
ugPnC9ijMRiqGikpIw1o5AIn6QLbjX4bDLgg4L8CE5AGlIoLarWtaIlJRIQVGvIM0GfQo6EkLIZh
PIHYtkMEJWFXV+IRFVD9xr+uTNDbeaWz0UYortye6/BB/Lgfl0xOcNULjKGumm+8k5OuhDVv1Oek
jvbOIys/S/SQIrQkWKfoq59ojKxQ2s/rcdEOIsDvEIow2ggsSGj+s9fr9MsjjFQi1SK7OGr9hdNy
dA2kwoAA2KiIx7Z6mTidCvaF0Ai9y4fI0m53AKep5EzpxCbc+zzt2nT6LCxY+oIwnmqXTS02W8ih
/uHJC3YIGO72SYBQ2dJSlLa2K9fCZw08rAu08YAxqORkqBZgcw5jWAgDJ1Wk882abu/hhC1n7fBP
PeJQyCb5G6QdpLosP0RRSTZCrf4ZKwTyU2dHVScm9qPTDzuSxXonIs0jEoIuCE9DwWQVesd96a/2
fKeYa6NSqWCAE/w1hNdz27fW5xGdMX2alk2VWUJXGpLsmco+B6q448Fi08+9LdxXtVWeeA77iAVL
WauvxXgji6VRZhkqej/x54qbWCjBfbiAXPG0vbqGjnjhbi9BnO5YkL1MfdLxS6gGI62cUxgvpR2M
u/D2Emblzjb2uRvzTpCmWJmQTTwIZKETZquklM41R5Mj6R4vF+YUvvztXqtJS10v/dLVT/x7ai1B
HR9u/Kd4qf2KIX0eDjJDFlkcMwKCA4KlIfF0xNsmoMshH7w7EMXydJZN+XCEtm+eREL9twCX3Qdi
baAWVCq9SehPj0iEYSwoixqtZz8SnJ37CboiwL8J/3326njeu+8+lcAGnEVKvnH6oIQy8Z4X5Kwe
KWq/70VVTXd495VO4Bnar0GOkHzPy6c7Bo3HnksBIeQAru9C3vWcV4krzQrtnEMTjM/wztkjpMzF
ScPMVKl0d6WATDtoZZMrA9SrAIAGSO+jzVnWa6qR6doQlnJtudR+vKWSLfmtR73pqG/lE9RlEiJ8
/KBc2lWIffSRZ2bJpwC+Oe0JXtzaZ/Net7fPG+DWZyCGz/Lc7svEX8kQeQkCyYYwglqNbKHIGZYl
1VYt0xlv2WflarQvWAfA7yagl3KXnvjm5MJZMvMyrekb2EBC4iAWwq6Ur1o0G3UbfdjjEXNk5WDy
TK1sAbj7h0xH1WcL19qBEgXQ7tuL5OhoNKm3aXGUf+K/ldY72HedQjVHXUklr8XaROxtWzcuapGY
x7r2p6nqdTKs74HPyiJWw+jWLYi6li/8bloiHbPYAoFyCqXzEqXEUH7Ogjt8bhEheu4h7c8kkqtv
rS+/9pYkcmo9e5Ip/KdmY8SQbMgcIYXCYuHwhfTiEWANLx9Vt8V2+KlKy551B3HYqiwYdDUT05iS
AwZK8rdSdINS3V9990JRkNkbghGMuabM78f4yQI3i/pzDkwMwaJEDlscRkUMusbMbScOZsPUzyDT
xXLK8PCHiPPkkiquOLoj9GlkfdVWbKeQnlzvCpr1SuY1p2PxRQ6sFt1AUv0kovQZOklLTBSPSag4
Bz4AdbAi/lLcIobS/MLmxN+OKusoVbgZePQQvr7/ofahaipELc+BmqzuhqpXGvZ6oloqYwsdbd2l
Po9/DLExlgnzifirCfc0dTJ7NkgoS6ZqKclSpO9DVCk3fHS4sSmFSJLFYRtnfwhcPQ1sj/9d+EJQ
6hPEtBL3RYA8U7klwZfmktkKm8VUA80ywfW5VK3eMcntvDT2mJZt5JZV9VcTL9soy923q5ELYmEb
kTPjDn9OWrlbDwqUO/yqWQOx9qyTehTRxgsCWz/NN6gIC1Pon+flDQd+jkhF4keeDEGH+eSPYYXt
AjL1PMjmO69kHgX/QuRSsblx8a64XflKYRLxQ+w2NMhnKcmr6ZuO29ltXB2Ll/yLimtWSFy1Sumk
n+IsxtltUsnUTlixgJ43uDBnF9WaCpocP/b1Xxk3HMaOiSeNs+JJw3KMmIGLuVqiaq4fwm1wREZG
Is8G41nQNxbQgfQ4O2mXR4P6HUmaF5JDLxF1NzdiRw2c3ts7Kx5iutGGeU+XJ7MN9FI8W6WhETEu
AgkbcCuw3+jao8dOlebbbTn4xej4yoKMPGggPbMT3D19xlx2lmT6CMZ4rwbi5POrsd2fzbMv1rzz
2aY3ff5GzzSPY0Z4MLnpSWLcp7wdq9ie8PjDowZLQE1eongDQxcdaI1S8979kCJN2DX9i8mSA0DQ
IH5pTBehPf4lvL8dCulmo4ZYngFWxzINzScznJfGWPnI7jrMfJ0Zx7FbmA6xgrAR7WrIjPdGTkZp
YcWKwOciT5pHIdAxX7zcFhRrESHo2I2gWqRldSSzSTKSFqqwEGFd4HCCeZE22TRJV55lEv8ijwB3
9BQ1qW4GN9oFGPJ16+kBTQz9LqLb/DoPz0dpHraA9tzBsglNix8vbwlZ1zxQzn3Hcyb4v2aEoRVF
fhkgCNwfSdvJzkHO1kEYQMPrPr/na0VcLtyvnj/ZWPj28DfrqtIZS3j4i+aq1Q09UM+plu4a3Caf
ehHuRQXZ40h54lzM/TvcaofVehEV97kcV9lwxCFSLj93QKMg+YZYSVGv0LlsqcRPEbAlx93PXunj
C0Zt66x5wEqeSkq0vcKBZFmZynO/2ZpjGWLk8jpIyOAq1Wz53yBo3DxD4zPL1KBH/rbAEw4dZ0fx
eVZFrM01QvBwjdRU5GSHPsndUVr6s07CKQ2nyopUyiePAumeEFMOZ+84SMDG3bSnJWNkCzX2JGLE
IHqFTiG2sHMxKadDStVRfQS08jn1uRNd/pbdn4A8c9Ft/KFPROIjyjlqGc+n8u7D1QRUtOZaKl/C
Ns1tGE4Ww4PJaennPeTP9sdziSPNi4SBo5qskSR5wT6ynuOpmBa6MzLFE1PzqcCBAT0iaJIMn+nn
pfhZ6s8IM56uq2b3/3OgemCnRNME2D+YTw9GwCTVJwVNw6sDgEn84lssd6Y/KD6Ky4b0dzcXGony
7A8V5J5QIBDtqREdSdRusj6DBKNS3bJ+Pa1uLZpm+8kiW3PQQSUNbjV2BjJzeWlPiJMltRXglr1J
9guMFJgZlrMiD0rqxfU4NEaR6o7ioriYQ35lnk96F7pfWuVXkldJf25BmA0AUHJq8xf22pfXsLYg
w2z11ZNpBYmM4AU8dOWNcfaEVumruQ0eDLmeI9uutXxB87qrGCW9lj4TZ1lWFpq0EL+sbD7XFq+9
fJZjRxRqAfev2DBHkPdULHI2ZdzUQXP7RsDXRPgvmDWiWbICmoVWKIVmeah5vUVPsMrjSFCs8UDf
BoOArryT0ANCTE9KmnayExi4poBu/TgXZDHZOzpmX10eLZZqcgpsQEVVmIcDJ8hMSnWPwaGJrKsP
b9mvNxPb6Y8smj/4777oCEY/GQqmWgTk9fsUv0Q/UgA59xibKXs0W/xWqbYRaKkBuHzm43qwOqbb
rg/2giZNF+mKxrhN0Kr+rvFEymA9VDIoYFoiZibVwQVBBluthd+EQ6NA3+uvhOEXlRWUgbcfnP2+
y8vEKaiubpdIKo8HHaaAYA6q67MdKm8BfCKezMeUQfVjwWMO4DhrNEl+FgnIL81h5J+Q7dOJci5o
gBGMfCR1cCQI/JRiZGhHKCXn/KiP7FuW0e12nlCxg6gzwVy0QICFk/exvZdyCRhSZn9DEZTYNX6d
El68sOCkA5koUVQctD7cGOWFN7MpjztjBsu4WHytB41acYZED3HnuBVsWtG/QpdpJa84TVYS4q1C
x2szn+6+EI6KzsX/IGKCQsTSPLdCvq/PaRJtCkC6FNG5feKynTpb9Go+PZMHXR/VUfERmEeSPkZ2
V3TBRuFLeMRc0u6HZvax7/cjlZrjJftBtHpi2fAjnKVfr5D6JE/rV0iBoi2SDOZiZflLWdESIRhz
UmRLrH9F4k8UqU3oFr7W461yO2Yefe1UIFzJH0uK/gq9uY+gCw6tU6/cFT3cTFt/AlaNN4uVof9S
Knqrg+1b6BDeWNm+5eG6KMTyibAiTSRIA8agBDCh2rM4oE72SJX6xMaKeeTg2Va+UqaoSKP9+zSt
lTO9vgnrbpnm63Q3rXBsV8syzOKuTcKTsUrimAMh78X244cdHGPuMXt6YcLaMjrmG1jcXEBXTYyp
l5rIFdO+7T5NNINtMI4EMe4nU35rwUWbU5u70KU8AjRxgTOl99KvwGz4+Qt134O3Fw2wgooDnsfy
vC0tVnea8pMBTPWCC1HWvHX+R4L7Q0/be0qsK/iWx1lDQFij5UeFkBfHIAsKy8kZzib7ab3rY/4z
6MZsqRivIobSm/MGimRwAQe62JU+oLWHISCNBHc6W2ibmyg8pnFzq14wxMQ231EnwPmbWGCxgG/X
Y3erUD8YOASlRhM/6zdiTU9Cx22EQHe1CDHDpwbTlhPPIwinq3nGbB663Cee9CRs3sx2SPazXSnL
JL0Q27YCNHJd8vydn0lB2vFWp8Do1TGH/wS1qiG5+ag2RN+3vzJVde3CdRE9gLQgz80SFmj2z+rl
R2fvncxdiuJ0EQlQ2ETQijrARogCtfqq818xkCQGcQbXGnF2y2xSMXc5bVcM+VJVF0EKpdP9EAvS
IHdTGMbP11RyJd7R+oGESmkejDUvA/Wp1kl923KmZtFbXU2GOqIscwpkvM6QlzKzrEK+p09wcqFp
f2u8Vc6jbJuJyLcOvsR96an/tBIAfEj7i1iCDfuOn7fB2Zp4JKDeQYietetC+A6it8o+lATLmOUS
FOoJhwP0XyTCuAHKZqKwN0gp7Xv5jVUJAF7rh1j8jOyd2udaPsa+Q27J3C8iM9DgY76xNn9KdWnB
DaVtaqYLiIwzeGE+QR1hJLH8JjPiiYweIhIKQm4lic6rIlDFtk8I30K17cDNo/Q4blAXcbZ3VVjF
I3D9M947/d9LtGiY6SWGzWI2CJp2+01GXgkwH/FjZarLyEH432CWIu2SV/DkyyEFRmQMDIByKW4x
xAS6fXVGLCDHFWbX0EEtzHk9YqxYgm+uDdRmEoWGP85M/VGwKF2jH3ptL7PZXrQXIshowOUC79wX
Ym4e3IgVgbDpRPJ7ievmxvme8kEpaeHFnkHMhEQC11E6KYwAJPo3+29fhGEPgBupeJ8XdvbMmIAz
ltMgn+w2RMSOQ7PbBH6tNDqF0d4lY754F+saR7L5KtoppGG9FBLY+y1t+1OzJ/zIE6B/bV1EQM/g
RZbaARjAADPiiuUq/IIE03YNlj0dT4/0jrO93+jknUKWUAI33nc+htCZpNiMRSwX3PMs9NSgd09Z
mXRU70Ql41V6Wz6EEZL64tyKDPQYMLWGzUJZCwWkLqa1c9LE9aE8sFI7qByikBhmjo4+iuidf4Pl
ovU/85ip80DkEFmEPb7GA7gizkc5dEmE8BGj/8w1mT5Pg9hHRIuvDHbvO8j3D/kXj1+Vg1K0r7A+
rEzct/JK3HEcvcJfXhXMmv8wVTYQuDDOYfekoNk7CEJe3GrxuPZfKFy9twoFSsVxbcwRiEnW2r62
nItQpbkNo0JcyFNenI96fWXezLGEhQBnTPHSlNYjIqwYHzgLLm0z0md4Z3/14sK0n7nFmsO0SnOK
B0ZgrmEjKo1SRKLhQfdmDWJFY7TnwMlYaNNmbKoqecJ0u4XM2fh20Urb137/jitrzNu9R6VPQ6r4
WdG25fT0kGlJhWxDF8N8baLDcOL0NBmZXo4AD5at8h7Ocv5KTy829J2faLPergZm/9FjRPxG8rlH
UzeJ9nJiSb24ll6UUitJXOLabBrKN6lRaLC3ytkCIKu+lVT6vYjRy1a3dAUjpOZ+Vv7hauESQRs5
Ar0rUPU/1ItBtuzNHiNSk9v6OVSZE9RU8rpQ1pIlUDrI2T3wzz7tMIY7KtftZ3J/R5o//BTzDuCv
tgAXjcEILSf4+5TiYtnjnn4iCiJfTcL8USPGEIw0DxDyLuhkzpautnL7JyZ9mlehI9+f4jQ/MR2f
aupTCeZ8VrQghey4xLho02Vk+xPw7ewFm3+IWFoZiIPG2L9dlHahwKqqPy1HE1JmS7kt3rvAmNIX
l+UrGoi6Le515MkUfKqpjPGxA0cvhHB5jIyqueCKG4KHs5iGFbvUQ4CCuxcGdBcdQqsrMJuF6tH5
ofnEGY4JFrakTJF+eqvjl/TmuMK5yJzq9hC3ESPTVTnBTkzMF2RDEZ7TGLVRf7L0NzdBmGT6MTdT
344deVMbgdVx1YTCIgvr/MFLvV6Gj4FY6WhoyLVyP+otgCLHJA0MeozfRwQnmKorTGa1rbnLkRYi
Re0I3It3bmBdU6SdvN7qhwht9iY8Zfl/xHDNcLTbeuikU2wnqOmUEaewLPfC+N3tWUdrrimGn3n7
3zzRLz4BwcNyEdh4U7ZpPqvml9Sk8WWAs+NLljQbPJvBLarRB6C7lyEfO8/SXs0peDVOw6rEuzJJ
CqTtiCBPq4mWgfTINDyaoW252shnEAfQiSh12Y7VoVedWwtiLnQg/9IqmeSb0drWQzmPvYfwputD
+sssoOd7tOiay/qdzFDCwhHNXybMAwABpKo9479a3ZPWE8cmCK8k8Xx24FuMAJX17jnt5pg93Cnn
yPG7xyj8jyuxA/75Olc0i78B0/GBaqBaUP6f+gpOvvUPfMmy+5RNiF6ms8be052NVPp98vC7kOd+
sapWXEVqlRU7gdYh8YnW8wOjBBxTg4k70wVvDCu02oe4iEbW83Iv9E2fFaE7LixxVLkBEIkcUcu9
AQcLkgwF7qUMKvAeC+wwLLJoJzsA7abE2P9fP9MGEQP6wQrmUE6lzxxOKN4NaMdiECBYUYu096Jl
CqB+SRTHmpLWKKasvItMONydpyp9QCQcHsVEGcKUv6Iyc2XcU4VRrFbBAIMOtPOb21Qou7xQzFl6
Bt1eIFSmlhGtbxFAfSqnKz6tdFLsXrArDvIvPEWu/enXITGe/z7vFVaGg2KwFPCfex8R1zxyMzc/
94T5prMG/KTYajZqlD+YxTT1eHWXPOGlRmUP8zpvmvGTJ69MKbbOdIbjUY4+aATiGKq83HdYUf9/
ppcMVkxrHJC/zv1LriYbz+6tGzU/y5stP/IW0yrwwkFlRnNCA60+M2jNy/2floJ7M2tjxcyjoIPu
GPeZvSbx7R5bsUnoZ2C+lY/ZEr1TFCaSgrVRw8n1PYr3NksLUcz1Wv1TLgLg327cyUnkEnfbtQce
h9oMaBa5nWaPl/CHQ2Cn2epssHkJY0VyhBa715Toymzk5gKkZUttHqcrltNraDc40PVtqUhHfdb+
Wl27yQaEdI+Zkdqkxy8QyqGqeMWYzZmt4/7YqaXv6+ZKWhhw8TfD+e8LOUR1LerMHeQrkTikEPlY
BEAmih8ODnjUBzbJJwyqgRXsUpjdaNXgxr8Wscl38WAt707+mx+cucWbQqdBuS/AkG1B0dH81wss
AEFT3SnDpS/KIbN3wcMeE3pnIc7PGV3GvxbXGRLjxAR0Zd/Dq+OOtNUxHVKWyHzrc+Ku+LSx8RLQ
Waqy/UDkabHAKAxWGNPeAENwJPj1rrW8WtOYQv7sdY736vTWdJt8OU2viSW02g1wqszA8zur291d
Ztinu8c5ucWU9ZS1OvCKJoV8WNE02uSg6nEV87rQCGzrWL1DunBaii8YaiLwAC5PA401l0J5yFvb
B8fn/ZQJH576awpL9Nytpfszg9pc8hmyWgCIXKwbFgHhf8H/TrZSVX7ihRD1TZOMuGjDpEziW9Pn
rvk+G1C37qkUK7oO15+iSLumCZ9n7GAxARP0GxbZEau+gElbR9nGGhbiFVwyekvSXmBGXmQrsWIH
32Ge+h+M2Oj/Jrah8UF9wnaYELxhYiwqyRRCKzwd5a1tUbngvUtTSve1aOrldoyZjblvhBwsn9N8
k3kaxfupagjIzMIjUlNZgjc/yFQ2ZY/NT6FzF5Jo/zrkNIb9uxbfjACYXRdpHl2pyIZBQqNKjod3
EEt+qm3AuK7cNSoF2k/klMukQu6/EsSKOz5FVsENd4DnpwQEVT06FIscUGq8c647zXCwczLsqD+P
TNJpA2ZdEY3/w12Y7h/eQ4Nd1MnIP4GFfTGi6OuysvagdyyjDPA7L1/33BeuU8lXobjlsY8H2oll
eM+h59eQ5FQ4UOFv6oFH2sH3p9Dodm/S7t8efKh0oJ+2vgzYccrF0YaSj91ZST1dfPCvaXP01ymk
c56Zx14aUvrs6kK054hadxa7y02y5iat0tmrQ9MQsh0BcMcPuW6ciX3zZpNNKBDW+2MzD9HSvZvC
x054E9C4pYbYb0YEKNXWpJLa/CxF9DYWM7k7hqFcqbZJEj5vRf5+I2O1FCzxI05TSjlNqTRKUs5q
edn+sOGpg7ioIx0TQCWhOKx5Pmzog5Ht2Ak6CD4OxZlCjsO01zmuN51AvmSOJzTqgxQHMYRO2R4K
W3MU6tq2Izyl638wX8MtKAaykaRT74ayl1ypy/ao0AQRoSMPECbwone9F8WfVkyJDiPjboJgKDL9
AnptEvMVHJwN/m/b8QDPERDzlIiy4rBMB1/27LZVUnIKfQccrNWyoSIMo47gZPOHZTmDkZ3DqE9z
HGU6oW7J7UBZEIoywjRDlX3VEi+riOaW1SFmabhPXgR/BBxM8jYSm78iMkkERMgMg5G7lN7eTSOM
59DX16v+yRUlELN1csVk/LElXOfX80eebKyKfd3YWts33yEvxoBvjCCJXEtjBqhgMV3LooPEF01h
LzveILLlNr70nRdd3EiSjjxUkVI43UPyL+WSXZZaJmjOClpBPfjTDZswOWfzoRqePFqIP99qhz9R
sxFSEYnwYDwax3hhfDfrMkCASPpJIaxaC7maFWSuh0a1/qCo0Qn7/SVdVzPcGVN7Jnv/itPJXXu0
/BdMOwERBaNyWxZlT3l9pD5yPlo+Vh3JvyActkI1Tilzl/xhvivY1r5AQmKKEBMV90p7jb+sVhUE
f+OiWB+hbEzSWMyPf5mP8SBRDQ/5k3C4GM/nW3jjz8D6ox3EiGaV/XPypjNIQ7j9hRb0ViAvcwti
Y3HGDJYRcq6SEXLjtoE1hz9Bwqcgk4AX/2BqMP0EJih2XIduDlPWebBuWh3XeLSX0VFe1YIP9E7q
HGA8z7ioIK3LI/lkHZQDTjKZWzEfw1lnR9/htP+8BYck7iA4HLFKVNS+vA4gwT63TK1ZQdUq8RyV
qGpCfQkEZzNN3Qe4bfeURtBPF50c7gQwTC6zaFEnJceLfYhb9hADu3Aqvv8myVbWU6ugsEnWYzSp
+Br9KqLyzG5H/mUaxZzmvwpY3PEqghnJqGCv0OT2y9zDvYigkVg3gN2XkwhPM6btiNNqvIOVLkwZ
7Ch5utTfGhDPTzC/7NqT7Ny2if1mTqIFcPQGmht1eZXO2X+cjY8dATXxwzUFxWDMzcVdRDfD+nNe
hPP9wC3UVkK7zcSdQx3wGTvs8clr148UOAN5kqoJC/2qKH8IuRwOPsaDHrRRBFr3Zi8MoAXp9l37
5ROGaLbgMkuCIb5awK23gYGbIR7v33L4BKp/Vq0A5axCKDslHBRX43qn5aln8EfQPojvE7560daW
K+k9LJP6LZkPnq5zGyHV4j5W7YIeBXbNNPZIwzt0keSNQH2MCcWb0vEUU6iuw95fptJVvLO6l26y
HAE992bjkMV8eQrJZTdf4nTulSQJOXeLem54MRNsEWphN2FYU4Fh1eVcL6imzhOu9RhAjqgQ1sHX
nAnkvFPP9L7q/vNRYojb6znSwAH2RACPJkPwbd9nOxc88yN2Rthxx7LTGoh5XYQD6pyHqwHw3gsf
YQhIiCPhLWUNa8YjFzTMm4ABGmVnPQakoDR3Wkqim1uDF/f5QaDvI/eDmIPPsCZuTRVNfNy9QpmZ
0UZaSI8zoqIARLFUqQS56LCPrwJyWsXANERS00uhOKFE5r6TsGiJpdz02Rxr5hAjtaiYiEjlUwu2
EcyL0X4ucLMNxPzXkFNxLLMY3/b8jG+XB9xgfeM2Ifyw5Al0LB8MoXLQtiT7eGztmDuwk1WX/9na
SobQMXvTsGQWsvQHf+SfZvrk+ktL2DWmbFXpnlq5hAZLsSZzcwARWMyE1Vo9TGwPn0CXuQHGF7Yz
AZwaBtuxnhPxjeMWvjs/W2pf/N5jZlCW2PPG6pWCm+dYUln9i8hKwDUrXFI63P8/wBy37Vmw73kP
Sza181LTmcCkA8+8sobC5WsetN/8xjYwWgSf0bIQwVvBtHfFhUoR9Kdj48DznJ/P/ErElfXVTMJS
Nh1r4c7WWHfcoSwiLY2UkAViFcOdE9OVHp2koo2w3naKGlqlPm6SMbzFmMDXIMTpmmdK6OX8tQJM
hqnszfm0Vao9X7UVL/C2T/ZwzlhnJ3kMGxBah+b/rdk5Za2l5wAejJmN3rRUPbEaJE7v6P03BSUn
5hAIcHcGc1wYR5MqKUXVeJEJt0cwYoQzYbtMoakFfpLqWI+ImSv4rIb/j648joZMLKXLevcStvmi
X9MSfnLzIaO/xTt54dvkF2Lat5Nw/s8MN6dtqBjcpT2rr2UJBhiUmo9NH8hrZ1kNeolzScdvhLQj
MeyXzxK7KwCGKt0fz2TBfJ0kWNQwKMKNGm0KL6DfMxf9Y/KcWomY3F6SEAFPc2TNpuv8qJxcn+Lw
eKHmLYmgFZdAx4LuRprDEGCDMm/B+HlNqWt+tVdWlF4wQT8VAyX434oTOx2u8ChYre+boc6s/93S
qQyCUL3mItcBziPU3AU49Wmy3fZXG0jFXt3RSFO7JidYhkoX+KD4R9txhPUOYOkpYRHMAsfPw9lu
1pxZNB0Wqck9fW5+DUhwDLzN3kPIjDQKS/OnAmZfkZrFF9dzJIXhdH1g8Ex/akAw1ZbmyoitkN0P
+ITPT9VWcUMlJFqBXwlOJB3B8H/Icr9rGQG4iOnKM32TWcO/qmEa7SdVqoXAwhMn00Eh1Ol8UIAo
UNionpH1JHGzl8OLD5IpCLCG1DI15px0WfvdaKpbBpCOB1QdLHits3VO0KpBElEn8MCH+xsZR13u
jedTYhW+FIAQugcXdvfJoXj9RSyyGBjARBwQdsaWw8nZ6RW6dBvHaNNr2Am5g412iKmPIUwEBlIs
dHdMxAOf5JSB2T4WXP6JYyiy7CCRAU10Ud3l+myGiaegWah8m92VxfoHhuhrqSBdIOEI0c0qNP4f
xLnCesHyyjfhbAqYdyD+lpsadmtI4rfBt+nHx+KAxEU4MU4j2rMONdk59cyPqBDtbCKoICZdsAFB
5vrM6ICs6Hl4rjAR2q1G1LHg7c3jonMY02B9C1G6ly28krMfIzbL7kCZOkwxCU6tz3FZnprmzbeS
82YJ7gWEue31t8MMUyYIAAuZNIqx548PlhFBRH55JnRstjz31D7mebOkcghmqef3TTo4TenKKWLS
nta3kcl6Uh9wbF6gga9M4DX+jSZlvHuLMIKAqsI4xe+/PQ3rIVNL5BOkgWBohxANbaUkCadDF80f
EDyb5lVLTLJF6jUoTcainis4BaTylb9zJl3RomTYnsJkPJTU+UnCMJpNLbq9gKH6jr5AN1GUW/ei
PMw09wsTzuRq5ZQYGOgt4HRj2Wr9CWT2lwRRsZ6Ybxiv56A9Tp4sFYEFYy4W6sF0L6LfEBYDSrgr
KOu7ZJwKCGZj/uDyj+MJBwunsxXOpW/qNO62Otc7D0ao1M5Q8ebnlf1lH1dnrTrPRFtvhHc0p2NI
mhVMFuHWqBRy+yFA2qJwL8M2nGAiU+iHT330X6la92d8vFLrRuPeEuqd9N/5SyRqqKv8APxJzd3w
DUHUw5HIRw5NH2DaJymRC9zZHQEZfxMe0YUQG+SH262PQmCwx7F3UCGFIJQkOS0VE63UAjQI90nM
rcfba3wQR+EnuX4dtuuilTC/xTF/mZEaj/YW+s+KB5q+USM4KTHklySab7RRstdQKrq8nEIV+5Dx
ifob0Rj2ULL64lDOVzDl8lIbURolYGrMVeWMNU2oRAz1CAkmALenQTOR2BFYJkKmFnbOqGBlTP39
ZnwThKoCdskPuT2lpsTgqqJcxD2g2CZNTbW1/yhaF1+6lranFphmgcHO2n0UScPK3aayS8u58n+G
FLeNsVb6hl9qlayNEKnNkL2C3Nh6vVFFjSB2Wkr4HgQMZv7LbdWnuMT7fqG0EavQ3nkqijXkLgvY
3FqmLPF6xoWELxsGrBswYxTZSaxhz9c03/FR7U1WlT+gMxPEzUDz396rPjDnO3YUuzBlNzgbdIPg
ZP5fQvuPT1dyUQHzK9Ix8efFhxl5BwVmxNLaQeoWl8g3+lb6HRRuMXaCE0kfLpmtGagQns3w/jFD
Wdcea1np950QiWE5kw5jYHmcHUyOMLmcZOPwQ8cTPUymaP98LHdMxDIeMLHpyStMk2hml0K8TYzU
bgOwjTWCUZgVELnFqGfsFQsoyPxDlyY8wuXaDj6/n5m9JVPeZm3WHO26ekaVBpurVR0TGK0s8UvN
Fma1v+Ks3AromElK7eOK82xM5XfBHr+YrA/+CaIGfW6tsj56QIOpJf7LjX2Bb0L3tOFgcCagdnph
x7bgSovBkZrBhbO5YeVoueSCkUqjug8oGFjyLR2HMSw4Hxt9XhsHXD2g6xAU3a8bCp6clQgp3ZEW
a18hwX+u87zok5+Q05bdiMTC73kHhmeOSv6iyqetlmnl5xu1Gu9xuh733VUnaguhkRGvSWGfqlfP
VTqHczCdgNO8jSZLNfl3BNi6WLwjcTjT0in4aGyluZ4gewRfyW25lhBoILDRSOR7AQwHt/8XSdvu
DPhuVpa0vWXZbOvdkXhgNqfj/rjPn2CdXBIZ0L/d+zLmKKB3OU04RYXd5FtW+1XC36huLvzdRh1j
Nydp2TWVn5Mm+Hz3XAph7lKVB74rfeWzUK8+knYKCgHXMU3u5gGUJFSHVU+UK7LOQBOnVVnKPSl/
53VZvPKSDxp0rB/wwKna2VGu1+c10UPqtBm0YgV95tHXRy5851dVMSnzndk7/SOkUjAlGnVK7UL8
+4Fhw0qGdUn2Rjg3I3Nax4kBfZ0WT0DDRL/cTaGFqjROgKLS4BBtnR77fournHTUKbD+JC017SGM
iQVH8goGXLlduxpA/kRjy9xzT0XPMtAKrRwMqZmzp15ubZadBIPxJSKVx/o8aer4te6P90EudJ38
83cqxzthhWGS1VDDIs7irx8emSb+mLAL32jegAZA+pbReVlvbx7YXYwOKh5BNhb+ofgUvtzUtj8M
EeOr/dksWD+SQD6q1la7HBOuhINdUWcuoowgpG53SByn7vBq167Tshmp+wdxnMwQtolg6w6psiuI
gtVbw3Umq0HjB0RJqSAZUiXbD+sgtmuBXn+mrh1bBudVTeaU9YZ+dP9qJBiLuo95CYfLYuQm3zQ8
jqjLmJn/O8fzb9sFfCkJ7aUb0ge/0e7o6nM6k18sB9mBd6566RiCCZt5NrsCR70+1Vdo25cUmQPZ
tAiA1MueQkAuymZEJ/OJY8kQMseRc+MaE7w7DwIZRIe1cgSPEVWyinG6W1Jejovfrq1EHbLks6qm
BA1Fr3ZcwVyGJ+95GmsLGeQOFFTf8oL4UR8FPIjk5POqnEsNhRgNOEwTUple8g6+WZm1bbh2wng3
ITodR0HY85BPDLSRTlKT55ITDiQcRZGD2KeygLSZTvZ1ahOkjVFtEy4GTYcujmOWapsz7kAWln3n
jpc/7bgUHElAy8csbWbDSB2gWh1qXxMw1m3s8zalCV/7HeYZJ0zYOEdgM70ipz144SNfI5L6nWZk
hCdZu+1RJG6HL78Tj0cUYdfK0QNjh4FyJrStrPFbc6SRJ2gwHp2XQxGRRlZDUjlRUwFs5T08LAys
PWdCxmTF2TDWGN1cb9Lz9736NlhAihTFlnM3u1ES3kkyhWWseQlcTl7bM1WgRamP2yXb6C1/krFb
5OnJkk2w2shTcKNLLXQKnsZUnxcWh7NrkSwMEX8QTQstrAat6aaJdoURh/x+v5y7nHwWilq+iKgu
os/xi5lR6utj7FHi7rw/ebnEcvCH9u2H5r6aoJ0VW45WCnwkb8hX5qpDxZy9/8ytglruGhaQh9Ns
9bNe78/0ItuBWVYFC+GGdcAbRyOyZ8K3Fc6SiWE3kGLkLjJV6KV6WoSbAki61Eh5UxKEW8obNJSF
73BocJ9/I+pjdTfFTPvZwYWUesB2Wn0ea8A+b5uxyerqDxiy+ZYp02pCQBPaMhWuzawkhbq6n19w
UvbMLvRbtpM09zLGWub/2XhZ7fU52rqepARSq6KRbeON7UqrIzoWaRxmaakvDFZdX/mfUdyP2PFb
6TzSCAq5fO8ujXbNh5m8qzhKJ7gzsWOVjX3GBpq4mbfS6Vbf4CzcfWO/yqX+ftiw1B6VFf5DIz9o
YyUY4v66OVtdaU6YrvJ/m0QdYGpicde/SmPZoIxkk0jvJg0g81hIGgXDHgXn9Rg1LbdC44zmuM74
1mcs/lUf0DpQqPFarkGqPGQHzfpGxlGopBzX4p17nGLreRRIvuhDtkQtQ6t53lbuNaX4d4uA04U1
/za66tvQWgTtT2Un6yRAKP3TmRzTvSCnYyyxzxK9jA51OQM/QicuzMlpLWxh6rl+OCHI0fnUspw/
QLV08OrA2KK5XSN8I0jvzsrjLDsobjGOGZ4qfe1ten4ixBqRDZJ3US0vb96P2JBFb1O8RLCn0FwT
Opm4drJU2tRdLVutfAyLtU4Y9eHZOs8ZuBAL7gEH0MnfSHBJv9uwaOFkO9Tq1zLO1+SN022893K2
TZDluYZH04PR4MnSvPmcizjvPX/qGGtstjzYWh4Ltc3obNs4wcXfR5qNFRUJ9OdyDQpo8pPQEoN8
ZYRinEWOeDdBte88PeZ3BCn70QBhOx5oF1Z8roS48h8bL4MR60wuwG/qwuJR31bnp3vDNsF+kBdi
D0l3fn3DZPZNSG67t9yc+3EWr2JE26q93UYIjbbDhWPV1KNukcLgg5AJXhtDaNJhq8JkUrDVoFFb
PmEv2IYHNhI7/BQMONnYYN/SQLzGRSWxxX8fQdcEvuashiDoCffqNeQX3zwsuiTfW184Mn6uKAPh
PqSi1TV/B6iN6XlpUAzXw4m874urIVCb/5+ybuYsnlkQKLzRWGpBBuVYQssNpzVuEc3Sg+g6WLt9
cO5OhtF6Y1eG4dOk4DO55SJQ37PZZtCV6vbpC44ODFO9e3EluIOaM4QNKS+CroNxwz7JnKQmpL1v
8H4O9BCo89YcPrRWcz+4Jby5dwV4z0YAzr+BNd2flblhB4AxL3iHZicl9wYryyyXej1RDVvDks5o
CG1aMnqic8S+/NzH92nzq6KXH34Tn1RgAgTOngoE4otW1zpLIey0fEpxg9CcVL6fQq/GYbLRCPmn
radT6eW4ESom4yM6qtlE490Xm1rntMvPpXFBCMQ+cnTcV/ckkpHXzkLfq95fAAUtEYfLXhs5Dzc1
krhMZQOICRhtMEuvEGgRiRTt2iJsWYfeNYuWh0MMaoIXVR3CaHCjiocdOSoJfkiuZzqL8XMDCI9O
H2u/qIAZedVLKYUpZ8WVaDG/WcRTCj7nixkxUvyqGh2z/gNesP7XvGMbAwLh6ODGDw+RZpp0SxiT
SKe5xb2CxC6j5iMJR9oeoZ6DHMb+lJ6pStMORDSpvlM8/ICuRdihSe2vKjDH3K4ObajDjs94IBRV
7CZJ47HcOrk1q5IeplvhTwWxTYBWCHVS2phpYRNgDuOnYDKMGt7qze49gDUwZtkcCSERDuG+fve8
+ZCAwC30FGn1E19yqZ82BF4ou2nnnbDz8ELO7x7z/3O2UdR+WHvjfSm7SwSDpVboT+8VTXrPIhof
GjFyvdTpjEIyv1T69ZM9dAHRlD2W+X+3668prYrr2X49uHX07AWuNLmVsCD9owAsmpg9L1R2Ky8O
EKrAgWW5PeT0UoIFcW8IEkQfJPE8uKsWXoRWMakfX7gP9omNw66IAtvhiFs0X6drQ+X4O+50oKtm
zFfpg1rWcWzuDbTUK4M3TyeddfOUjSmtk2ThXFtSA5R7OStF7WFwyf76v0/iXRPwXfYhepeIKfXW
ak5i+jweFRBnjo18tPN0lC2hQjdRF4VyAyml1oFPAW+ElNkabqOockHtnVq+tFTveRDsgz8/3WzY
qzmmZ4/tosNM+nrxyNaWUVIZc9k8zEjLSTvY5HfV3tvAIsA59ickQ5/d+eG+cx/dpuD3rocOj1ek
5cE+dYCmkuieqp/Dg/vSpFIzPIhwrzEVEB4mEI8QaZBYMdfJXvgbUmAnDoyUhjnBOD8j4SDko1H3
PMkF/MNSzsnYZNGn2u+ls8ZdjE2KMvs2G+W+x+vMCJ0FQdGKmLxTDSjaP3W9+jgbr/OZlkiOU0g0
M9Nledq+SXkVhNTgFDoM362Ynhv+DYCsW9xfZ7wp0Tw4TwZW24/lEUBSEkBJ78jWk5N0NVoN1pQC
40AA6CI7X+lMVqYp4xhU4rtrgMWXixplSvuG3iWfsNJEwtEF3BOdtwTCoAgn3ffgJo+21Hfj8XdA
dbdWrPDY2E0BXI2eSzXQ+KZjsdjUEDjZusC1WDmRLVnFlS742WdFBQYryWnb5l0e26B9iDb9aDO7
GxjtX9x7mweCZJ1zFqzJq/pHES3Fi+HDKeX5STZS5pXeHStszY7UOPCT1uPX7C8awRL6fGbfnKo8
BG3T8GOHDAw026xxNYjI6spxfC3cLem+i6jlNGiVhxeCxAInJ1QtJYsCAk/vRhq0L4MsFABrOtTv
TTcN0efXyoYTDxFlwWbhqsXrt2vyJIJhlM8Z+5jwlpsXriShy1QH6YCuH3p7wjwU8e+area5fsP1
an/nMDtEytBsFdp3h4ROkNXsYd/CPE0YWKeU4qKhhNgYtQvRPQFbkfy6g9ZudU92dttAHpT6Ky/3
h5ZgN6Jf4eZXhzaX+aIzIEZMSqYN+76sNMcZtrPMg4QAVGTtbjGpS4YJQC562vAoQ9M7PgNhAuAP
nJwQ3u0wTfAqhUbcf7HjJEQql+RdYieQD0FeEYKTWKXBdyxQfCjgGIVL7YWfpA2eQhwjXUEkxn7w
OJJWJPmMz2+ya9ha+EHZjPfY06X4HyhB28Uvy9UiwhTFa5PYX9rQsGQtUruPmjuJ90GqOh+vVB7s
nIUY5Upj2fePEZkQTKoEgo4FxW7gsps8SI03052SsIMOutXi7XoVrDJRoXT6oXOWtr3adS1nVYbN
HTy3ksH0h9cH5JclHJK/NEur+iGj7vU28PHrx2SEKkRDXXy7b0yFPi4Ke5cL/xgP4m2BUfhW1epe
+rPiVWpukwfoqQekrw0PntCKYleOEffYwQ7MO+oZOYzZst18y2XWzSSr9E/7AAkeQuu+XCebbFr2
x2FrZ466LrviWuCflhYlClZf1LLLLCQdlOZF+t8lrqMQ5zZaLlofxikOpJrXPD+XYEXPfebNg8Ol
jthk7jzTaH8p1+qUv5464X5JwqLV3rN9JG+GF7vV0yOgT/fKl2GbWniUw2ojKo2L10EezNuHGxsS
hdiCzCW/sI0ID19E2eh2OPl692OU8cLXSYRz5Z3LTeMHnhimEnmS0J1qD8nfk6GN5clFl+/2ASrZ
i6J83Bu6rqtgoeppFb5wmsQb2tvU/4QCKtEHhYb9aGH+GKEhkFa+HTxJK14vHe1LIxk/3p4XAr02
Cfs/IsOWC5VLzPnpMMrh5wXSUBKgvjjctCF/5NFwXcjBSc0ypIBUE/k7NdKNOMVvzB/ZqblP5e/T
qrAm7vzC6yDohUTdN0ILOTEPgnG3fxxiea0WUKUBWFNgaJk7/hG9h5Mzo6TRt+pnuquyJRQucCex
R0h5JdHYGLr6VmnwzqkKIrS8S3wsvUj8Aen6HesnpsTWOyaJEaGTvunSBNZTeDGy91M8BprZd9bV
AYi9XmESE2OxN4c4/UC3DGWsIsIsrrRnFLa5hGWTyhvC68Q9fZR5tMFDjMGUytmDfgLanliYc9A6
xvUPmnQJQ3Vmko+9JqJhvRzXdFvVwV+V9nwkjP4QFsp1pGpo/JP1cvmSS525OSTtF8gikzJccGNi
3R2+3pYJ6f7EAa4BOQsKhDal/AO/2luostHgwpjw81baIOf5/sW6KhJNGjATjk5u4VmhWzK1zyr9
5emqg4fukG2EsppMJE8LecIey7JoG4TPF6GEjcJIxsWFyNzcY32XsUf40WkXxgA6vtuZ4Cd+fFvw
EVmBpchjLlivwiLQ8Lt2nNmEvGn+HLAbArJ4H6sDOvpjytHm2cTMfWcgvdpzraVxfRpjj76jF2qa
dxy2h6Lv/xXysEH9gpiL6MCFzXa2xbEEugOBUyhOl4HNwd00Qcnsy4K3c3rN+vWY1bVxVwdlp5Ed
P63z8mWf4yX+jn4cfRbsRyzln6in6YbJUWTsP+P78Hj7IbPcTTI67jehjzdo4bD7dvXv+dBJRK+d
U3kxNqFeD6zXPQohqZyRJyTE8VGQ7uzbUmLo+7K+OQ/VEVEDUNIz2aWpeBhcjmYWLogyO3eSaHXA
1qZbHl1XNVCE1zfBasUcwYoVa9UjweY4bOtw13Ean60hNaipN3VtSaKS85FRVrHleJtKNeoK4njt
N980xv5baLPYpiHC5blu55ujhT6YPV7xR9qmjNEqGDF5sAgh4+o+cd3JytuQVkULWsYH+4nlUvLC
vVx/okdjqXSh4JZdep1nfolist9MtS/mS0uIC9wq3bwSH/v2G+S1hozof+Y8hs0infZbJphZM5+E
smNu0Sv7pAlDvsgmXrBtI3ATl9y8HexM7wNQQVCHNYllJQJSlKsPsylEVOTNTLJ4hsHa0kIVfpcm
POBUIbkMlkKNYh+TddrY1ZQPbAwesVyfL159SbsEGK3U9fd72g5s5aS7CwKGmc7QPcjK+n8oyuTU
Qmy4370gJrWAOI+CppcbvNNvXEdNF/+fuHqS880n4WYVCb/B0Ta8IwyC8Eg8oPz4SF4dfR24otBN
8IsBmCXMgRTCQ7qGDh8qIrBAwNWL+qvrUbWcT+tCim0I3KivKC2caZLqQzw2e0b3PuCBdjzen4DZ
prdrL9h/SNfn3kvWovRNaX24BaHmKJjOS8VwRcsQUwEmS2Iq+WptBXaO6vGH+VTfxBQK6qe4GYmq
SL69i0+lmmUD840GcE3v98iEbu7J507Bi2AqcqBM5pJCwHjVzNqLfzQVpGwmrkgI4MxX5zSTGiiX
0s9FvbmNj9uL++8t9L9TWsamlFv8Zl0EBsWkbfdH/fyc4VOoEIMSh39+fxmpmhYiUwhQWryM/xpn
076o+eEbDuQVFZBN0Bvi3IDSSSvjZcJl/JozjaU/pGc2ziLsexbz4c2bEISzS/KwohgBRW78K4mI
ywWQX5Zu/tZwu1KXAuw6T6NQzRlUuL6MQR7P1wbFgAtA9Be9ukMNVjrAIuH39GBs3T0zaNcp0cG/
1fqTBb+31JxqE6LoKwIS8PyQTzej5BKkIumK7UTv25JtI9ArUlZlq+0m+dc7oIWdK4dGbW8OxKwO
lnOxPU5ZsqLBP0VGMcPs4cs35ccO41lWEPkfiphyhCAreLeNym1hKk+UbtvLIGEqwL9/wWsGiI2c
FXim70AtwD9X/vx+xz6GHs++SSidCFYk4Ja39BA9iqRPo9KRYN+oHDtGWG51HTivHw4pZvndZ8Me
C5OzG+IX6Z6I8bHK2aEM1IJdlxA0QNtVYDtVxwSqcWQ8vAwRNpoFRJYnqVY6MY2V41n5dPhLAEj5
ssAYfIBjrDxC/e4BhCrLi+zJPYxvJEGbvFDwlB0jdhORoukdmhZwzdIgI952FfuzLDL4GEYYosOW
b6KRLKaRnt1Ly7KslWFiJskQaP2RA8RSTe83+KRhVfl6TW9yYINJztEa2m5oATjz5QndgEycdfoZ
+stDdH1KMwSzZ4EbopJmNCqsb7PIBAvgElSBTzm7RBfvGKIKD+nU8/LxfMpfq8wve/I1L15WljER
BSYJLNKu6aI76lgshGUAhv6FQIMbGQ8xUNbwTLvpjgkYuVt6vEuokK0Jr6J5XY8LOpv6HD7MrR/H
wiN9MjiYRQIrMRvQGmqwhY8qfv82PSfVdoqWxCwmkQb+1EofjWmCX/9HJ56G9eC/uYEYrydp6cqq
DRUUtbFgItQ87HsiIB6YZbAE8AicokjO7nfLgbf9NTRHPYeXc+ZSDqTsKYtr065QhkL/P+ahS6nL
pLcxTIQgk58gc+3lyytjiNLfa++CJCbY07ThUf1nnFxHafiXs6zoOef8HNKYFUh3rzYXEVznQIhw
Gnsq0rR43xRo/qcbEPDk+Lnetrj1F1+CUkq02yyYSmRHFVZrgoI3mb1otgZnywAzQaV1/GO+jAgt
pKzQ7GsiO0LTQgKf9BQX+JMsF2A6m7D8Cp6KsHGvI9AWTy13+YQJtuM8rBFIjvuzJwxquy9AUcjf
a6CStFhwlrcx1ZT/neS7XF1RA/DuamZTqxCuKRIKfifzu4IYC5uKC7+57Kad4aTZ2YEFpUy4KgOX
1x9qwsqvRieSDa2xDNnscQ2Euheh+96ptMcf7NnNOs2vjkMXaFlJQU2y4b56X7sWCFT1EMO9M28m
MXA0goiQv7a7sz+erIIOG/O4ApnZxSfnRpXOobQjnUpmZ0dndz+PYCbmWlYhg8BUODVOxwPsL1pg
ekiSZnp+NeE4CME6fNK9bxvXo5k/qscOtIxas0sMEWnL/sYvPxdTVPBwUCc0N+ur4w7eBW5SNUx7
m0HUDa/ijaaQWlKDz/V4CRnR/kHmcLYoOdTKE0J4B4HHZkots0zxXHwoliBE0KkOHp9D97u482+W
3T7b84RVQzYZ5sZ22kZmMYjGuJHcTalbUdoBSSfVDHwutCKKHZZx3QWEdKcZVf9JVcVB26VU+tf+
Ixe7+4v5I8NBiTEiD8EBRLJ69npJDAt3XgjpKBaXe90Mq3RJSb9BwKHdyaMHiyOlFEXPfGqw44gy
HLCabBaObCdBrNvtxT0YuRkhZB26e79aDBpA8xrrXpIS8tGmjmploxEzLh1qfcKUgat3xNWV/hoe
fbe28x7s+ZdVnh9mfpJ3hmkyWKaDsn4Bayz8lXVIDbiG8f9owKJHAH9jn6Um2bEJpX58oEMQekRG
O1yghNgchkKLBSZI0G3iIuQpudhnxSH5SU7TBov6f8I8ccsYOKtVAEpbyB5Xz8dC3Sd/rFImfaKh
43tdp87hkbiz1hdrjR41/H/8rx4BAsB4SLtRIToxGbtdCi6veCY05tce2IlYIDqrgZN0yrYkWVo3
ew6SuI4pS6uVAxpgDB14obiSqxjoPCB3AZvvSqFu9rB8WrsEhiuAjugxqFNGVV5gZBYpWKXYd5fb
5hiIwthwejgnjzA94iiboB/H6Kd8+oetyp04+IoG/CnuyoyWU7ni0+8SuTCBh1IDIVM554BHQray
ZClWW7C5B2K2ufMuYXhxFOkOJUDwz6eaDtdeHJGQKxKQfvJTDH06MTUuT2q1im8+ynVHGWb+Dh2G
V27koAcHJtm53R0alutr0VIEplM/T7iQUViSAaMXIS3OSnzaiHRrU1ZOHkTMmOpEHDI9CIV7WFW5
dmyyzGX6dYtJpc0pDvcZ6XWYuGEYAqPC/NG7VOO8UfIKfG6YsZA1ePMVkCqZVyN6MS5yP57Nj4x6
Ndy1f1iSRA+EZTn2AEhx4/XUYeMGQ+rzVJ9iWPCOEBHvKXgzxHqTCcLcMLhJQY6He7iiWJRs8DMI
QRwJ+xu54IrkwJTUPb0tpTcadJeKKFRbsA6w04qumF2qZg5Zjg3zI7mif3mBK6GcovMapXA4SpAT
iBKRIUs14m7nSlx5g7ZGIUMinSxhjsQ7gDRO0JXxIlMtYpglJ92ePuz3pUec/v6oJBW/jhKNBygV
jA5evzyA2ejN1axTl3diE3jMA2MaYjBrfrXDdMBUkDjvm22TTRcm5aBoNDHUd1UxJn8Gpm+UUbmu
np49T5cLQ/p4U6oFMIDEGso5QdobsAJHQZC7Iillug29T0Fa/G0vpW+crrbvk8Ix1jtPX4qQ0SkX
9XI0PnLdO3FrGlHf56wk+cYkl0Ts7JS9VfOIPXmVLor5ANF3cEifaU40e4EQZW+V9wHmAX/Byi8y
zjEa/6j1HcYVuUHhImpn6iDeUijEpjlqgHRIpETyKF8HW1lus91Oc2N8UvEQHFNjk51MBEpFkLCK
vx9ig7+2Sg68rBuU3sUJD9p9hLs4D87oW1l+i9XmSKXTziPRc1k0Y589oZPy+Ug0X00/dNKvnoAd
X4HVe4mqT4WjlwarLzekxLsnx33e85+UL+RyklvFoixIqBzXNMNVnyrwSXEcy2Yvds2xLL8/+Sbw
pPN6JKGeSK8VTx1P1JSjcCYOhr+LVSSv2JZ8G3rNFnSYbpyVsvE7k5wgH/Ov9zRVeaD/+iroeJfU
fCtKPChfbhsWCsU0D4UxXNeRFaK9X9BoY4h6sxR2ua8NYsFHUzBToApwYXPgyM4EWB8c8bk/GnjO
y9/pgypMbj+I1pvkHj9tFpcZKBuKHBcS7OeG2oneycTP/lizHGJIuLjhYbYddaA9TTwUSaepB2yW
LC1UJbM1hp8yXEhXQRvJyXedZZPUhRXhrNzsV4BebsVyaZsrZsa7PWLjLd7XJUOxifmw0s7LAEO4
QOWeOO5kGpGL/sIijvoF5K+yj2sNGI+E9GJ9GKy7PPgMJ8FXR1IVwQl/lZpXWzsEjdMIgYB0oxme
C5jSqZZiweY8Sl5jYzA6kmSjuzqmtPxPCcHMD1OXF/5ZLZsC0+iap3Lq/q66Y7zv+TMXUQclPQ7N
vWVH1Oxm3nVJzxPJyGrAmI9lW+At/oJtd2BH2W1BomEavkJ9OfVTWZWVjXQSHQaPIdWEdcxJcycV
J9nTgk0RHaHWy+vjo51CaQvI2yH/8lNP5eEuJtW2pQUKMswUx3hSgtH+Mv+P4juLo8AxzG28YMyK
fU/LKYYhxNfiJ1nRordNPQZChnQe101oAb8DyBcVyY2snK7kziqO4/W0y6SH1JLARXdCOBIxqodb
1tTHPXI/U1ituCo+TvYylQYrGbMUd3p65YjnywZ/UHG2var2HKpOU5D76/UUWUbDkqI1hh4xf5J0
VL4TfHSxR2/u4Tet8Cym9F6it51WsWso+wGlP5bh+RJkQk6r0Ar7bD/BD9MS6kW6oQBT7ws7oHgV
rm0gG9sPt4TRBdQG/OBmsadtXrfl6s3iwT0omCgQeGlRWQ3bsY8B+gHN5ks8DPxlCOp57G7AX2nx
rSoh4uFI88lEqjgXud2uTSLLosJMzreRp7aPwbD2pErqAns0p1GzEUJVz/09n3KyFexQEv7Uq3zu
zSF4x7oesSHe11J4fgbebegkaTfFsHSrWpcuGrlKo46KixabIv+8G9EZ7huROJ+dHrh9Yk3PQaJ5
nFEDQXvjr6u5IePMp5ayuS8mt/1sa6pC76JIYGODUx68X6BqUXAM2/ME5rHJxgsnNzJrZdfN3ldu
YrfBKbuWnqkt5V0l0cpZV2jc6c+Zn7My2sQc++w389RUqOjjJN9VaiwBuMQeqvMOzt4AX+MuCesf
xSntJvCj/JcSf9fy8z7kMU/rw8e8iwOuoFf3XW25bsIfNj2xgOysH72VxVwavtmjcZn0tgDuilF/
UIOI/djLEcnPlaXq8q2M/RnvPhPxvYXKGA1jbV4zXZeJ8ytDMxn429/k7X+Nn9fzafm9c+8jCM92
nW7FqLVlcdX6IYOrDLrjLHKqmTFqcBfES1JwL5uTOb0uHB4v/XFNhYCySizmpgb2/jTx+EjiSmmo
7UtF3pnr+WJIlBj/urfQwP2/qFMxj0RMd6W29XZ2/l5BxR8gnATKchOR3X6uJ03GEapOBZfBkwK4
deNQc5JZYRT32tfFPlM2Ko0pk1DDMmijHNWLnxS+VhUTL67qIBTjO81zcl+6WEwh8xPYaITCH6eu
re8p5d8pzY4wloYuFFQVQRe9JS39nlFI8LzQvmC52gjFqydBG4c4N1HnbHfEa8azsye2dVYr34C8
PDqXYh62zlMTZ5JU1mSWqxCpCyMr8MWcbtkrRPe//GSbshKdPuM9hT5ekxktS8EsCrZ7UeuxCZ91
m7PChPDwQt8JvW5ErQU0/fe0oP3r9rRav8HXZoj1BlRm8R6aqEG9T+Dit6yOukycxcLENXyauq8E
g7iuu5AYpf27yJx+OQ5RKnmYYBkCPHifdKwKkFfLC/mg693kdisN+t6xpauA++LUa00Y7wRYhdwu
4/XEo0zU5Yi12A7YFVSmSid5n1SysszXjg7KA+CgyxfTtMNUCQ5+5JRLfdRFKcM1QilBtX0MLV14
34TuHIP1LOLKTKY8/zj9o30fqIibvonQvEcs+oA7D4YASrrNVkwUkipIy9DwU7/YBa36VYYrCnaO
HStBrw2a3Qn+p4IdVYObPAnRkWN8sb6uMDb/TTyekEyZKeinqORPYjSLoZofRQU5YAYhuVMSfVip
1mQTCHAWGzsLyf6bgpDc8Rv9di1ts+5VqEIdhOByQN3R9/prJK7+94tVGWPCmfjLRtMDnaany+rb
dJF+29lHNAMLGe91GJuYDqgNQzrIqa1RTBjf6YyveAEU3Q5+fjubcBIFBii+Tduc5RxOytybbjrw
5NFvNLckCJjg3/XBW+Ao1ZqfcWJiqWK9M1F2OSNdoLfZ54Ib8c0VjN+LjFNoB60BVLNSAPU7UvAq
Z/Nemh6q6ZNq2nRRb5bJJI0xtL3xTSspWr1gmACIyCFXzKAvacWh5qhJ107vl3JwWdJQLsKFz3nL
HMLW5DPO/5iQlw2nMCOMlWLtMBo6vJWzA9MtClrhJryNHEMqL6BzRGuFMb0Vqd30KEckeg10IpBk
3ocX35NY8HoTvc2+TBgGYq7GTGJUrYOZUzBB1gfTgvJcL4mSRA7+BzOSBhPRdMyfESZ6eNkdLTbs
cUSF4A2o/1dhMspzp2BxY9SkAzwLKTIK1Z9wnegLK3hWt5WQErVcr4LrBqxqZo48r38oLGSDOwub
d+ijq3x3ZiulNvYCX3SV+w5iw7GSs/Aye4UPxdtqXr8yAmXHN4q66N2TjmeKi/AwdvF+tuMY4fjI
RMH27sxgL5ZqFQSUHYt6hWWET3PZLr1fZ42szGF3c74FEMnsV2Ofu78sMeewfCidtRs+7WWje1pe
vYsy9LDZESmq6//bfWRwxnUwjQAJ5bSYtMbsff+Y3X6M1CCddQBFWhmZ/B1ErILMwcOgPGRN/xwJ
fw5K0wsP5By8lKhBZS2+aAB4IogenvybQkCYAhRX+mVDe/mbAnRAf70FM2Pbr0wVLunoxzpfrp9P
jLsrjgq3QllUVDo1gnw0IJgWjNu+yMfSJ7KaX5+0OJqCPB40qVo4BT9Q/9gEg6D6Rq1G9Y8SV7K3
LBtjseinDkwDn1rKhxORbxGTAQoTJ/2W1inBYxkahAG74WL1whsm6AVxaMCgDzQjXb8Jd9dPW70a
n1yldYggPnYhqasaz1fhJFczsV2dpruoPaVhnyvJK1cT2y4mIxP8itRuxo7KJCabtMsRIoCzyW4T
brNxPBh9WT0DB7eA18+0g+X+IqPQCtqH3vsO8IVpNfNJBQm7fpkYQWrdtNKo2zWL1jst41G74pnE
unWfKd+66s+MHaSD4oidQSsg8ZcpoyaS4eUwVusIfpZdeQVFILxcNKfHSFXGNXVk37PQuC47Wfzm
mqO+hA+M3233jvx9tKSs2LV6f7V2zJ/mX6JeUAX8kFXm3SrAW1N37pmaXbXRWl2HSu/2xfz5WYan
JFJF/orzr66d8VoT2uiaMGEeXTXwwxlpufttCEGBPms3r12S4knqVOk0M0+zx5KWVmPXLkF7/SQS
Jz17cQHnnzwsCwmEezdxDfpfXvZi0gL7mtIMOTZCndc3pYvrPijSA/ZavsVL2GbZSI1M3JDHN7oA
DOEk+Luagwgwokva5GHGi1b5tLNjEdSMWO12gzjEuHm1HE0W5kYIB4dh2fEFnWXRCCjICKeQi48b
ZEKcc3hhUdLQX1oPT4V6Tc7jDgk2L+K6/14t/VUhdTn6gA3r9kiq2sR5+ChNq6fb13EuyyWrwGri
eiFhA7RS5a/Y/mIkr9HHddH16gyX7A/KEwEnr8xXtVyhB4av6A8RmjUenrR6y7vykio68josc8Tf
B8AOJ8PHXlYr+h9oweGQAvXuuhHLmY2cmymoR6kGaF5gBNlrQRSNbPZd4k0jTAbvaSu2z7zfg42Y
TGLq2tJhXkSU3sABs2M+gAbFq+v41w4AScYS0xE7D7VMzwc++NLVvcSBq+Mj473r0x0kixd7jIfZ
/LcQ48Xm/L30bCSKG+obJ2BMshZYjeGsvQdqssbc6DTTTGRLLv4k5sM1S5+41NLACeoAoZGIYaR3
cL2rqq8bpCPHMDDQ1IsNUaz5jvjvMSZY9yHS8WMbVoMPgFw+tXz56aTyfY6M0svfEu0V/yQ5B0Z5
JCTxl4KSkaFt4ainvO5ENr5OznFAHtI72s0I/hYJji3DuVnV+O99GXgfyVWYqlDEbJAwaCw+kSC1
zkbXb754dT+3B4akCOJTmldSt0vHXgWfjF0uv496SchDzcMYQJQ76k0NPHrACV+1EH3a1X8v4KnK
8F/cgVDWUhA5qGZg6roSxpuf+jt6/nejAeIHlrNrH4D4RiSvaMXF5WC/NEXFpfPaPOeMOJfEFa3Z
WVOS529KxcinH78OVEjmftrR4jyqrfoA5HNxkXk9v4cSWRmYtju2N8cWZDKfY67xUN4Vb8B+vreh
wcyhFYiwQfiA3TZ8PyvlOMTbUywgH0pnW0jBkMDlNJ1lnvavU9FA1qZoYWraw8N3Ni3AtOpMZgwk
fAjnfvQILzxQt1VX11gQSqnc0HmSCZ8Sq7ryhibdeecWB36rVttMkUwO/mxXDJiJYctZHaV6vqke
mGKTyqvP/55Yh16D83SR3xZ71KRfnRFfPCy6Mez1yBkMrB12wUmvadYZTJp/hLw9pwH64DfaPtt5
ny3iC31YBWUPIBQQ0jteBWtaXW94wou0rb8K0DZ61GSn906HBchpgV0QtY2nIurwz1ep3g+u3rtV
YYN5OaoEpX744hKcZosYExOTDacOWLqull5cfcInWJTz3PgMJKzf8IJu3mtlNmfpAh0o6EWj0gxL
5Vp7WTspKeyxCumsddReIC0Dg0m/T26+GcFs7E2vR7IWwcDTKK+tjbgBe3wnfv6BSjLkOdVsVD3S
WBxyDZ+v6i3x7VncJ8gN+GD1bHbbu9ktcDb+SBPBVYj/5hbvO8EZ1LOkGy5Pxb18myJ5XRaXV6Rf
cwguAn2tmnZTNqz9Opp4KCA3X+sqYCshEr+d+M/e6W4r1C3TZGZjCVT3A7B5e4q/XVYqRZykUnkg
GaPEPqxtwe3YrT8xvQbHiwtcS2Gj5AvhXMsSbLR9Fu/361Ve3QhxFciNNGQx0ViV7H5JZdo9RyhK
GJdI0IK8813U5WrEFgncusb8tefVqRSNRcnDtunCdD5zYegZ37ai6QfskB2SCoytGCZQd/e6yfa2
iuu/OKHpBo6jVhhNXG5qMR6CQn5tnWasaK62SqrUJMStXy1DCYzSsbT/Kxj0cTHWeV8pk5Zlapwx
U2a8eidbaQmnZ9IJAmRbxm475pmYXHJtJgFndJDNI9oUDmiQ+AOp19vxqbgJr8HHajLVTY+QifCv
zAoNZDGT9mbR8oxufTADm34XMgTeV8cBHqGAWcWPlien5uG6yik+Tgsxdh4+WRFnm76pfFi17rYK
4ZB1IHi8yxlr8mJ3NHHStsuRVCTJeZAtTOXUBkKR6BqIOD7h1nJ9Z3geREpbR9bKFECC66P6YsbO
oFYoDRZYqwcVNC8jDqCMLIfuqWcogylfO1c/IjKIXF76X6wWfVBjnkRYXR+5LVy/L0zPi+EAIQ38
odNK6Mlq6oBWl7MkNeFh6pNB5Ifuk3hrZ0EQaIidByCwvar9BdaVSeTGfF6NbSqnCvR5y1GyITwm
kzwIOI2S/UPZ7BIDggF6I0WbpqcUFkQ7nTxG7abHbhlzt5XpDJOLAWxmn1jdn804e1Eg1/+K3wtT
/30OV+W608yl6hg+VL/xKcBFBqmW4RE9mZGOGMWChgbIIgVzwYWqAhdAk4dmZuAeiHY0IgCmkCV1
96d0fR9gWTZ3D6wl0dBk7gkUrhe57fiyMss7Bsgeyt3Q2ZWA/fENawmhXesHQAKVbFSPQSW7Lyho
8RtWCihVgS3xqw9P0Unf0h4ZQhKGmFH5VDghQR6dVE+ft59yJt0aE9Se9yCiXxhbbdq3rIxJOBMr
lk3Et7w8UYU4OlYXheU8VdKcutbuBnQm4XpRslXwxfocBEwFCoyL3DRHoS27eFxijrRliW/D2RKX
EEJem1E85RJ6mOM1xVOB01DU8G1GIBluvHnxX7Hr1oGiszx1KZpvuHJCQ2gLWnFhK67coCRiDhuI
20MBh+MUDZjgRoSoej4E6aE+UgyckClmqhB+glkEkk8awYof4U7z4ixg2y3MmGrv9d+YIGCqS6LO
7TxzMZmZVROk4d5bj2DV9oEYe5cnruUB5YdwXT2gZp6MGTfrV9ad+q4LOxPwpukbtasz5N5GJB4H
WPgrrcUlyqBxVzBlZvoiXQ8ay2Krp3lMIjFTnClhJebhAyVmVf1s7bXIhe6mdObijAOF2412iBOd
tikzIfV5HLR194A00kSazssV8oTWW+9DuWUl03FqD/A+7VSNv/tW0pwECqp9xW6bj7rvYDE6QeF/
SSkuCRIQBFi0j/7LCwgW5JXMLBRBmCokFpTm6nF1rEZmRfi2KiPxcDf2kdr1YyqnOO64teP2xxjU
DKb9VCF0jJM8VBEU3fOfB65qL0sBGdcIIys/T4A3IX9/QhXZleqDdAL3IqZYqn+nu21DYO5Lb3Pv
x2xYUrmPfPGCKvuCdABNGRhlj3WHRSVX/U4ZiPWyhFUBC+ZRKHGgZ9odau+K+nR2VVeYEppjVpWM
32EGjHM4gmqSTM2DRbaTysirfoORpBG4rGwMa0znGhucObE1nJoqmoeHHbs2qj/s3w37KIQdOQri
wtq3fJagIG+vpmFUJ3fo47YKzXiL030+ExqtO6jxX7xzRHg3u8g7d58Jet57Fxmhb/vO7mn8L+0a
KhRSBJS1Ox9FYhIp20hRdS5UEvRTAErcyT+z4InM1oocvMzu9GJxkPfC06avvOMvCIiGSWzUio01
bUEcQn1JqGbtDefspgYarLB88w+SDWVPwSSrWOCS8QwVjh7rM5PwJspGIkeNQmJs3BBwVSPqfANr
CL7XWy0vAdFfhXjEP5VXRRzaiRF6fGXrmgSrVkse4YNOn7P5yp+yClWv56RTSq3xPOtnHGqVZFOx
OWEn09r9UVtxn6XI44lHeVd2wUsxo7cPzr6bug7xB1b+7uXs6EDJUrgMuE0EGTbN6sVLbFXu8/4i
kweXX0af8gxl1ZR3uZBjI7516RX/6j0X5Cpj7gJzPJC+tg0kIFrgRfHCd4sBhODibxJSB3kzHL8U
2gyUcGVZxV7zBLFawWOXP+bIX4xNVA7Wa7EBgjTSWcOU8WQ2YnQJUeNwqPooCgZPV6v48Ymym4OG
7W1YjnOq+EF0pG+j0Dgrmqou4ez2oMGSrjdNdWce7O9o4KuOOPAu0fDZWvnxtkbVZ9/zUrxCt/Pu
VTvBowGqUov1VK9qAe+ox7MoVkmL9q0MTVaKzWdOkrVqYAI/NH7DLtBPTAQ+DWTWW2Zn2xWOE7pA
qutOiJvKLy0GWiSIdsV+ssdDhnbNzFPUAJQumBio1Uvrp518WgiMOdFpY4tM6xpBF3QNB6FJIVl/
jovhRhYEbcpfi8ob14JFwfewoJ5xsGVTRREQc70pMuk+70LSMyFToDG6EPLgwrJwA6L+TcliQf6q
ZNdnWs1qMsE9HCO8yhGjfMXua3bzbNKlHoDFwTiVHuwGIOUcO6quoq/OqH9nLIvU2DAaUqEIl6E5
/uWnopvR3ISo1cEFX9h/50P82A4TmCxzRxFdXYQOsyzdSPNjOYI88mo90cEvm1lWS5vWID62C0Xa
iwR6wj1qr/DclRLuCssXYhH6nW2IP2GXsZgRACn6Gjtx48LVmIyrJGiTlJDoadisSZ/rRzF1nM4j
MKNWUKz/1/0YUP2W9ocJBMBBqxbPM+PlporCdTsfhVekFogIWFZgV3xqKr8xHUWKfQpUzWcZq0FE
LB4qHFKWywyrYfntNpJBwYhvP97P/+dc8nQVpPRtCeXaBNXzjou8qgSIPtW1ENLUCsV5KvVpmKNQ
nfeo6/wiz+FLKzW/vku0GTXnAZkVlBAEOdi4tnPjJh3jR0Q5D7xeXVh/pSDu12vCpngx0jP6luaf
CVLJ+2+jeDzaeswUQmUDFrrlHkVX7hAFKR6xzUH7oAfrNJS+vX9BJ7br4n5BbZsCd1LdBOEeWKnA
cuoG+81a7YCXbh2li5x2doIzZY62gLwdUe2MxEQuDGjyLB+uF6jikPY+v8fnEOPQ5Q0uxuvQf5q0
abW1VsFAKEQT8BoZ4+HWUKZPD77HU2n4KXmhoFEDQBJq9oBcRbghicDLQ9XCxbQmkP2Z9m2q+lzj
p3emYHgE8hd1i+ntErgSIAFpp0rcVtl243HiKoUt+dsgDat/AtUEIjG/IXnbtBa2Sth1966ZAA6/
6Y25fR2wh/zJpwT7P72H7nodHb3GGGR0VBh3Q/ZlM62GxmKfMmfthric4OleMrGuiIbgXMk5rdOP
ZCgYFaNDu+Vq8jjxUmXhlpwFKJU2GlH8Cs5HfZMo59GGaqEAgPcwcGLGbPDlovR2PJfBPTAT2zm7
J+StBXKNP+z03sSqpB7jV5SiG09yGujMr0AhMAy0HaHkbeeWorKgw3Sw+LoBPESMqglrYx6Q1Hsf
1hS1pL7fDGsj8SJKlzutwEUX68RU7SW6plNYdHpP5dBa7KdDXq4paJi72V5H6t10eiO0ibqhsKGL
ktNEjz+lHCJG00IwKbNMB/ZsCoWNcuwRDNeukRKHPhTFk13DHbZTtC07e9aUUMNzA4UeoSzep16n
erjdx/dkXkfAwH/MC8ujy3k5kDIT5BDIVhMI4fX4nKSwedNIbUxwThQwd5DdV9pBesIFxxr91jJU
YuRULDIFS3fi+g2sphQIScj6hgJz9NGml1judJ6LthNRJf2zYxeTmZB6zwatJbaXdDDpWUK4GEIO
mgbnQ6JxWk4BcalATb3KT4Mbqv+Ns1zQlx7x+yRCSsy69tbMB8mOCTl4blWqCjPwSNl3v9rEw3qw
k9TCrQpS8cIfC/SeuizX1Wee13dAKSDROkn4kliSXJzJFMezv3NfSiuy84JIYf1A7YZSVeIdjsuv
eZYFo/SLdenwG+mUQyVxWwMZeMQI9ZeBGRHEgNQWY8K1MEGrqmdiQ51B/razX7wlEib7PnN4f5U6
3aEOTUZ8gOny1nqmTeAmg6z8u5xPRCunSV8Pe6bTqPmtIhq3tzOLVRcfTwhJg1MF4xPe3S0a7buk
+bFF5qpbojZwo+82ydetlM9A6UBOh0aLxDMMq6Rv2thurJp9NLh2/OP4aSUhT83JoZZVH1OlVKQR
iXpV9WDdpvlHNAg5CAVwpIDfI9XzxvZfMeHtxT/QAGs5y7KIE+506V1EfQbEq/K3Uim8a3jS4aMM
pqqgBf6nGAWPDjB3Et2dPgGOwAwN/QhTndZvwqpZRWZ7vOisiB4DYig88TlBQTDsd+Tfyv3sdllS
VPIIpcDVoM34f59Y3TG8YSukUCYkc/07jC0EVjDrKFEHMCoquqwS+Ig8mOlgAt006epiYUFtF0Wf
zrdciF+GHt5dEYpqcAFO/Q87ks4RsueiCbKQ+tnYJg59UhTX87n8LmU4at6DNbU4nHNNH2F4l61A
Pn3yg8vB8gvRBqweWlXiOdzHleWfDWw//7l7fmPFxU2X8lTkyFuGaUlmEH87na1qSPjeyEoWM3U6
QJUCpFfXuNLBu9pYWPJZXdavksTUbwDWo6IWQJ6a+Xh5OMASUgImT2Mic0fU1oMx4cBncHDGkLGT
3XQMQeYmn00ePJTon3NWGgVYO2gdpNWADykzl1vSnbJLO6Dd6E0G70hHLiesNOdM+asEfpYkGC/s
Sjq025GucgzNItMjDbb2Urtxo8QU3ZK8n7eMTneXHQrlfVZOf3Y0X9I2atBLqzerqkkYw0MlwZ/n
RaEGuYdFwqOk36mBYkBkLW6jlsh+r7etWDvio9j1pc3IQHqPKedBq942hI4pNwflcQmGL/hYUAgY
8FIn4qYv8rYTzTWbEWWlUcSnWjWjimSMP07U64u+NzCKZAkTfUXeDUi9aGzn71oX5Kt9hdPzVzwy
i2ix8R4xnPLbTzfwN1OtBNzSNHDBVAXW4KEJnXWrYRi+fzCqrF+LEySKRaxJqZAnesuzUTzXcKso
fZm1BuSPxQ0bxKJ/R4TSzZKKMrAxEfW93I4KpkvgfdmFbot2lpAu8Jv3LQfauVX3Ne5uElfeFm+u
NV4PpDx31fhMaTv64RzLxNPtOGFuNWpNy+nJAQO1/LLlMaHfzJkZ+YjpfBqcUlZOVagWYA+3e3el
V4de4OmvF0oy/6c9VKiCc9/kVFUihmgkZ82XJ3tYNVuChyk595l4BlJ/pUAM43ofUVAxDCdjySYl
doRyxmQsKem5sAmxJg9CC6xN3LoBs+OwGpzlE+sf4p/AjsINw4lGoNr/opJbJfcVjBYeDOxXV8Zc
tx46Z48qf4tR4Dt08D5p4SsVpaM62wL4gU/I0qM/+xMz8J+4bkkHrHirn8+2FGADgB4RAlvviy0p
pInjUhdCChGgM1wCWAAALKrqQS7+j4EKYuR1lW23ipo792pihr+Xo59hDn/bDUznwIjQyA+g8lxx
tbqw3HJF91KCT1rhPaobAcd2m7XsbwwikT2ceW8E7WFKPWSwptGfTpeUlqjvoFd/1veiAeUs0KkM
nUQBIx9EcpGFt1GB+jr6pZeGZbuqISHchZlacicK44s8qhwThueVq4WuH5JI/ZuRhakik8wQ9EtS
rExrtQfsSRXSMPqs8tHerQOAD1UOofHdwIOW2YwRT25MmyW3kJeNDuXOE8YJno2o5j9/vDoTOvRC
qCRC9dJ9j4iEqY/lj8ck2YwPyD3jCHj0MtrbND/YVLqSs9Dy87CC7B+e0zioLoF74o5pJf4ELayq
VrlLCQSXNItYtZzBxbAnpuR2iQIKDdWk0thow5pKklgdPHkG2jcaNlI7A1+qqXjNKGvk4Vf5xsoZ
yU66HYdFicM3XPRWu/GjEksbq/BXdFUHunWoP7lWLry5jBTa56NpnRVx0NtySUFYvoKFE1M1VaO6
pImuBQUaP0gWzflqOOQDtsb9MNq6x2K/UshfZ7qMbXwhf0RIw6RHDu5E2sbxl6TwDShp+rgexm4A
LOflWdTWDg0S9TKGhKx8+yOnkfSoJyuddhDtsNbs2H9c8Yynjuj5UMcG1IK1FL9/eX5xaM9bPdnU
EGitMJhgjcQMcqOxFmVtomRGdICBxZm3z9orHrXRJym5pDowgXsiShXIRhuunaQiifqOB6KtZlHj
SVA8fOmL8isUatpqqnHr74OuCXB6iCvDXDRC60Qh/fYQjJpYcObUi9HxA0iGJm8E+6X9pLN5USTM
gUIBuZ237LEfJWL1r6w4ZEK56UsQq8HCXvZDhuHsyA+6E3yqj4n7dRL54LPNqFXPfjtPtJB/hyo2
YOyXBeBm8LAgRyE74+D4hknLcf3zav4O+7xsETgotYX/GVEPvMezziqcuMMArV8OkcBnc8u+b4iv
eDJk+RseISf83sf4nVswOnnUwUE6B31C5R0zzYjaIQT2PqPkqR9AfiUqGz8pUHShubTlvVQXzqHr
DM8zuH+qWgdSWlmvEDUyeJXPgr0pOCEuiSsNFrXEio00RppxZuNScyjHW2iDZC2cq8SrAUSGwKYB
Ny2IbKvjGqW83oLblN0qyBoxNbX4a7/2VTicXpOqH4bLCrwwGzJVNtxmCH1nGw3MInL6+vBCswp1
LsU+UZYSAcLXLGE7dF4bp6MiCuQi7BMCklmYltZu2tKajYJOzOzbVI0ba8TxEwiOuViOOW99N3hJ
YjcosmJnq0nqQwL3rZoE0sr0fVGWd9/OimYzUJjwNdzBUEMrQst4HUzkV1lRrMYDcm9vyky4MS5N
i3nOahhnYvj+33RSNFVClQ8TkSt9oWLcCrhI2wpiCuG/Gu0zCebwTFMzMd6LgIe4gh3/ojeeaJ3t
GtW0TcIHoOIASYSY89vQNn3UcalPe3QpKJcy5PXrh/6UIwFz0jR8m3H3wYPK/G74ygK9hqAII71j
khxQh2IYgYbs098u98+XnYSHA0BUjb5Fs2qScCI38mqAtQpdsDanit3r/CijKKE6ACGC3kYBoUCe
JQk2OlJe7xZtOeT3jh2Y/xTRLM0X0Efwo+1i3vRjD6hFh8kzEPGQ2bWxuWKlYyQp7vqJVBkSldPs
SIO4W2FKLiNO1RSTfDHDI66pZyNTvI7EfAeX8+3/i9OvFCOsAnfcOrZH5TRjerAQyMUqtD4M7RcC
ZLRw7FlYPhZK/dJlGFcncAwQDypxzMvr2e5z8hBAqf0M70zfb4n2G7+Kd1UWAFaobqU3edaTIgAA
QtdxX9xQnxZ2m9SxyKcrMPJQ3EQ2x1yP9MHoEt8nBWRfCW6WPYHF+TWLV7hTfTxcFD172tnNJYKz
JvUUi6twLfSlZUp+4WP4zw2B1TmwdExMvy8ze4NW71pSE6+uU9HvvA6gN7LmgQ5hOya8//3PI3uw
IBXm/TVRIQ7XfAKe/NcqyXHBtp6ERdkz2pKP+QQ8sRFofrieS70xLPRu710Kc2x1QjpTdeAo5Y3X
3C/aDdqW2okuC8tkWermxw7O3tV7df1G1pCAFnKD0sM42zJ8duG4zk8qxHzGG34jhj7mq996205y
drmLd7+SodcR1te6nTNkguHqdtMibZ8r3wZ6xWRV2WuAJ7rMep21DZHiVLJsODF+xzZsUJKeNOEL
F3h5adFhSDusEoAn5KvBvmSLKREI2yPkaSDwGlRFcte5zmcVQZDDPTBmT1uUw84ICG+RinpSndG3
Pz/98Js5CxH3Y3iObhyyXbgvGO+/DPeidkME3QJP92XSwD/3opStSxxcK2Ls8BvONHNJZgLTG9Py
ZjTtznak7jh03waEUcIBsYfxrs5wj18qnoLO60JVw8GgSRGipbH8eLepMK29P2jXqtH9hw4hfgvc
qL7eZ767sLko3IEiZ4y6j5FxfhDfnQ2qEc9xvGw1r7/zlbXVKpaxHPgxgKsMZq1/OIOYIXRE3W+m
bhcKkDi38EUMemhtFqrgTpor076ETOGDMTcjdQMEHjxXhlvquNKJ6BlCb3ZZF0tz1i8yZtiZbi6V
0BIt12xq3DHpFGC75rsYM7vFNrU38iEaIrpjoSKzRQvHYa2+WdrcSFSv5b9uKYaW/Z5jikPqv1rB
BikMxjs8ZgJYvN2TB4Qxx0emTire9kh0v7Pq6quytGGbCFCZOowA69Th+mgjSW7JLoN71vxhk3M0
x2a76GKLaBdDDs9GaqugqhQFHlFuey22rViQNGt6MbfjASL1hMEHW/a3bnndd769ryTW+ekzPlOX
1K7bkmOjf/gvxl1zjJMPwBJBTxvARW1LfLqn8u0Q9MxOSSVhUHUoXARaHZsK0ueAQswLazjYaYFW
8Hyr2V0+tN9oggXvvyZMNv/e+SUry+Hg1uT22zcmPRnNxvpSPZI/VYiQ7hXuMVsw2ZqdLJTyns79
/ChHA01xJsadRN8PKyg6rg2l+HUXv6kH5PTGauhY8q/XNQQ3T/5ynI5nq1G1z0mDbBQdBqWEhDSD
YjgW8cVdctj63p8zBrSjcBZTIETJyeIKDkR9ZS86ys4e+m+k4R+iMTHaaLI7Ho9YZ1/pUaEYJyrM
oFJuXL60Zw3G492CWZ+qfkHo7KF1jxa+5YXYk3S2iDctuv6HNuSX8iCz4jV71yCJSY1Fxwb6tsif
O+0c0MXLDxFdIIOxRc3xwVCdjpA2srV4UffSE+VJicZYc3YBhb9B7W3nM9yMuYzpMrA6C7C1OWVg
W34a4T7VQ+FP2BTGO20vj74BV78ZBzxAWW22KRlsUrvNo+vwhJTN7pkG6CdcJoZupVEFOLw5oiWw
rut/0doJoaCsCqnbCJCbpj8NC1XXxlIbvAk7e/DynEvu0P1plhIiAUSNCSFnotLFPbUF3Kn2Pp84
B2mw8xYT9/GIPD5CUodhIuWtyRjpsI5CkJJoa1i1bNA2Gh5CyMB5tTurm3ZHU6gCk33tMpim+Vjv
E0Gan2fBWqWBUgsY65HgxMDUfLxXbS4OgDybQHgBDowlxYbIZQuDtHIIPwSFGSnMgt0BQdA1JH5l
MXIQo7pWYndi0KqFIG0Yg1ngQcY4s7AwcYFseqbe7varvgnie4Y3hmIIHJbu+0PAN0y9c3x02LrI
j/UxkzaQRCU85rBxC/gIoKAZ/n8JgdIUgU7hkFipnWKl7nZM4/9RayTXI2c90bAqfregaP2kHlDw
oUeXGs9/980rBcdKdjfiPH7OO+I8t89aKB4SFfEmHpv/K1y/9hymdnWYEw8Y7yrMTqUnc2m0CaLe
9je/u51nio1BTi93DgmBaFxn/RkfTYV8bJsyw7NUGRwHI9rmaAa+1lWKsDUXrZjzZOvPNrRgU8DH
pLIovtCEHWNlWoWzM7CiaZIhlJvP/frNGr8UFOxhNTVAj8Ef+1dZO11geJM9BYsG3G2wwvwT0qJ0
SqlUdRSE5SIpnaOAwRJcJnLnn/txOp7kZhv6ZOTEF99O+5meNyR9lqd9UD9dGQVEi1otVGs83RSe
qk85AY0pTtMzXQlHn+szXQZisLjy6FW/OIE/Ml4uPFojZTgVLJcfLcU72hrzwpGFrkEDVNB4zQJ1
MQ4YvCFlj5TX4zmJD69+yH1vzzgBU5dBiHQQzCcGvM6DHcPoMjjGGTQwANjKhYpy1O3b6DpYeFnX
a7mLyJAKb8mFuOSMO0Wf1Dvt70XWw88Grx2bT+fUN5KtQett+17ra4jRiXBuSzD+5uqNbkZxcztG
6e/PxfC18SrxTOAnxSPOICaPOGpikPzr8Hekz2Yd3PXtxcIPCeaZC1MWQYfUYGCwypeZ0GghGcTF
j9aEmreswa1lWx/ncxAYhVJhryJHSFGASD26CFSs93I44RLQf4yagn9YS+kTh3RQBk7NwstQozeW
P3yyITny3hP9gaNtbC1wkcr9X2s96aJFKfg+faCUULXO0/RgncS4xKCMY3L3WADLCI4IABP9FycI
bhw89ECmbVHlYFlO/XBe83f5i3ai4QQc6s0ux8XdUROgrnKU06do62dt6fHkzm21mD6g8OS6emNq
zD865j/ETYlQ6reQ0DuCpqo8rV9+qxMNQvPQQxyseW+kb0VQhKQOJx20oVOxq1V9ZNVgXV1uvDft
FyqwqnYcI72C+uMDepyEiDC34NuD6+JX6ObdxjGdIza2TDpehv06LVmxtk9d1uLKPJJx06FZYW7g
J4AGl07OCcPpKANY+3RcUeCfodBOpDvxVgKHQDfU6BA3FxYYd8NNfysvrba3OzGNQ1ABM/bw8TMR
UJ8JBfRNISox62EHRwOsXr4K54FJGXTHv7RtfrOPCSfN0kNmvaM3tQxwryQS8luaBJzgNA45D61+
vsayUw+HNFxWnO9lbcemCQyM+T4T0yg3bgL0Gpn+5kKKGW3AsK13L7g3CZMSIFXFRSriYowXWzeh
MQIuOeWNbKaoZbo/nyM9EX2EmYOCa9qbQ7RAh3o/FDIFCdUmONFxPOtgATcI2ZgBbBZ9xwNV9iUd
+IVDtcdgXTNdgkIqAM3ZnHBcw+vKGaAn3SJdgwz5liPbv/srhucShAysPXtrrf5wBwdOx5lvTE3w
o1tUN04sPzYdxNxMivETchMV8g7ePLKL2BI2o2LVKuF/y9UFOsW9YbKY5xw7xOD+Z2bulqvcU2eh
ASRviO8Jbpkng5mE9NpuXCwRvoFADhjGjCBPg2/xvA6mZso8IzG7I/YAGvQ1q5digsiUrGlCjWdy
n7CMcAwKgo5ptBdHurnrM5J9gES/ku958UP0wjSZaqNtAk/xTrkCQ/AsiX72KOBR3imwNksNHJXy
bCyFovkYzX18RmnoU985qiLoFEg1BpdkuS2nwbd1yBRxeWEGUJrTud5dCx7Orb9jr4yQ1uSmGkjy
9vLEX3C003WKJWXZJu5/2u4eZllJA2+Stw/qACuXr6cVPI2rO82Yp1oWPmCFjXvZhJn00jvXN3ff
yZz0Zn3GCRofrA5BbqCjZ/4aM9Pw4pJsGc7K0E0Jnpkxoxe80Vfgm/aGqGiqVy+Q2JdCQpxZ/UgX
ayZWnivB37CNCJGquBWGebnjtMQkitqoPrFjAypUvFl4ExmwPijhiLWizeHK4makderEVq0bcvZd
mXblA+ht2m+DvqSQG9WYtaaQeNRSr75cuBMLL0Cv6ANFYuwZVDaz0g8DK3jtrtmRA/yUIFONpuw1
ZIXWkW3TrlyiyXCNyQa+Ik5uKp+5+/9mxLyZERMX9bZXltWQlKvCmS3JLVFqZo+l5q2Oo6FWrZ9G
WE2WOWWaHtYzIhoRiGup1YIwedc0htPjf+h7hXqjBJ0wPu6ZcjQgeQJoGCmC67gdpHX+ik/1mUH5
xAU3XaT5Q2cpOH5TfoZ6m34GVNI992KBp2Mn1fQLFbmU2kGJMoe+LZWp8N4sCX5+lAZrL1C3OYWq
PmNC7OE0/XOUFdEL6I+RhbghaMqG50tvDhvxjapktiM9VK0zc674VLPEeqdXxuQKINEIgY3O1C3S
lwR32uECMg8YuQHUQbHgU/oLmIuyW3ydsa3b62T1K5Vqse2iXOHoC0qm5feDNV7usX99zHx7l4ef
hZ8dJ73M8Hi6s6VkW0G4tBLrUtBXd7L92YncCblHK48vmwToQnQ70Ca919eH9cOZoDU3g020DoH5
nrBBosjlG4SkcvFkFWy4+/tpB/yT2N+YMRALzRp1ln472PpbIciFyMOV/N/aN6ICvaqy1lfdZqfK
CQpDLynK18vmDWEGtvbKKsM43NDmjpTPbFa8fXN2nHVosSzKQTByfanoiFTQ/dUinXhDOOSUSDJx
ANHCFhgVkNyDSgtEJFKZbVS4fk1K4FvCD7fFgHTasr1XkXfEHlRzsQg2KMhYL+5FvgIBkoTcTGDP
IXUn2ZlE7X6+/o9GJzPPPQWYxlj+hNaqKlkPzNm5ZXpsNAMak8BFv2LSD2PV2KJ3gC0+wdWt0HGA
z2iDJRG8asmqa1V3lGeYSzA35Euf2yRw3LcV6trOV1V6AKIr8rcFrJf0IeIE/l6zE074gBS+I5Ri
ri3hVTa3CJp80Ipx+qrYNcNndkivM4Ab7BAdSVq4SuJKg8/d156AXwn1j3N9pjFxKaApAutqPVyc
VeFvW6O+hG7I1Ph4n62xiOp9GEZGogYC7ttLUoGhxhONjVMulEl9mkGIMuy/obWfBL9ARog+UG5R
Z2ynKBZyWQUXLwW/slP1lvCN9XXsp2ELtMxk7MSoR4rdfzpTf3vRkDI4iohuVIWYULR1RWlR/WNX
jmOOKP0zRh8e9zVs2DPJTbLdK8CXeJl2BBHr2WeQoYVbEOHjb0DgJY/BjV7CjZJRG0+xB877aysR
Uj3bKHI98+o8XFzgixXegHHzSPWzhLRBS0kw1QGIUWhMCCQwOYcmAAujz+UAxUebsPLOmbyV/JVm
2kL4BOA6kDg3YMeETm/XQoY6skxu0mYrM55y3V/EFEpij8gtl2i5KlVRcPrz7YIDd5KmkGZDKoEJ
ZVFlQUFbX5rFCgq66wvFZ4FbW8CCgqaEgT64MT1W5jh4kuUdLFZnLRnknuwjjankWbiGUMyvLZR9
OPyTMYxDca3095DbHyGnqK7YPXuVasibIBS0uTYE2X1y10IdB0oJrofAyRosM7+kPGZSlhfwWNgN
092CiBEIBNcGaGQiZ0il0MykNoQPKnEHBRYa1+V7jM+rVouabyM6ermyw71RmBCe8b7gASwKWXUX
CQx2rhocl9a6rhfplKS3QLXq3g8NM418UP2RtEMySnSmVY9KvqrPMBIAaUT8pC3+kcooJjkp/WMh
H7oGJmT4Kc7g35DIiCs41ewtJqsqT/gID81FFvwClqffH3aBs7OvOURnu9KyM8Udi8u9LB1HKhDS
If55UjbZjSiwGDrvw9W5ZZRS4mPwXFKTtJB/rizoE5yPxPc3JEbYa+VT+zc0nrNq3PhBvS2STV4z
RX/YcyZfDEpiwfXk0qCK0p06XY+jd/GM8+6f2W1fN0NZZbB8ATsdIfeNo+3TGG87sT0B93mMMQml
9ZSwtaAWFnff6Uy65FJwsNc5pHf06B8DLl/l4+XvBdFO6iwQMicw8FhcQbo9XzXj625NsFTo2aNq
frnAdqEcCBHr5TaioOjXmdR0h6YLXV+qOT5gD1E3fTMNFpgpBhpG1nL1DmcbZsJlOgK6zxxcpTOx
fdv9JTDwo4gAG7YrRPhM9lgNhbQb5SBQbocHMdV7t9MFTRuNV6izFXOGWBKK4w6bQcFZHpKlGxky
LcXCsoysFTLoJEBQopbdtAxYWKdflntua58X8y50l60Fcv4P3M8wDbA74flwoLvNyq50aGEsPKas
jM5tAAJE4Vm/1onQvyKx2BkzNTDbLPb/0DKNbnH976L46R/pv0hJ17K/OCKLhmneEgbPSaSONyIi
TNQ3RSn50/uQ1BUBj7H1U1BcQagxtY9chatozvTiUglgqlJwzQN1jBUP2sHv3E/Gn6vMYuXExXBt
8PH0xrRlMEWG4fplh0UMem665xjrlicQIy48EjY40VUfIGNaW7ndPTiB1GpPlEAnh3pEnXDDx5oT
jCXAYKvwqhCx6HLiLsM7mGfzKMmCiVY9Sf/Sm1/z+lz+9D/NJoRiNQW1VZv8QxzamTHUh+AuedIa
Q5A2gKrRVkqGPo5JUnExSaTxhdKxSdGJP7gRxZIO5xvdrM5twURdgqV6YejG9pBrM/w3RZEDabpD
str/srwGpAlrRj5K+DLvrj8ozAO28MXQDqAD2xAzI00M2aGPE2Q04biHpW+9HNtEJD9I7+GrncJJ
uixAYcjEwmOzi6ALf4Yd+GnaLLhkFzs+H+qFxSyJp1FnBcnODUvSbTT7KbTOTbrE2EFhThBrOu1F
d5TsFGnRjgdE1fPs7rdQC1lSsW9j+GON+Y9s6+KH6sRgGgy34Q/OUNWTaKb0R+mOBS/XTRyE6g5V
q6Kg/T47Q1BOiga64FhHhN3feKzjyiKQ8B6Y7M8G2vW21stErdxCLGkVgiQLITTsWHlGUGCbhvpy
CqJfI0wz+kgALtNaUbrY92zAvWUK0R5lTX8r1/oBeXDfs6agAAP+Qnl4FHxZmXrXc5uk0668Q8Sq
8WbitcwLEvfWrDeBvJOOwxAKpo8wGFe3+SqyKBS3Q9E39boF7wG2zW7eAaZHbe1Imvh/FOq6sEo+
FmDh9wA57uXMLGHmkltvDAMi+K6y6uZu8tpKZCa50ddDm0/jYx9G2JSqJm1T63GfnQmRXPi6H3Xc
9QQOJtw8J83k9paoFuyOVXjvGoxfl1luwF68gqfV3lktAQw54nE+MyQNJZCz1HWw6uJfnqblaGak
2kODt0VLTZxrrPDYuedWPb6e3prV40+0w6emPF9FC3UnQoldf+B2n5DJx2N7XJZ0eI4O4toEy99Y
jC24XY9f2rr5acpttVoydrcQJMV5T4j5cHBgrnmHyvfGLz9JcnvUJb5SpSYUFXMq6EdlZnfLhRmc
6xcYn6qbn7t22IvDlImtGzph2JyoVc/8cZ8y7VGGctOQjzFfoQoeL61ov6ocDo+Zof5HeuAO18yd
BMAnRnOu5WzM4safuQjVs7s61DX58aeI6uQRS2xV9Lg5/Id4OVHJwuNEIQjEWrVRtNCJl0tXk1zO
M5ZtijSn7qlz6vsjcWgiioXDgY9yurHaaprN6X12e7ozMBmGw6Eo80sxS69xapooP5zpmGpq5kqM
Ed40Ar4OOt18/VrJThCykDAlZw9cyAncW4CIIr+ucL7jk+39jgmhSxHXj4k2MNGamNo0ShcY1Tf3
W/wVUkim9H23KPw0WqnfpJ/2QmxcujUV3F9jpBkVGQCTFhNUapKVrY7+q33S4ST5BpGOfRwoIOG/
iN2bdXh60zL+XMH8ptxadvzX+G8sGdhfEP7Ja2NEi8B0YXS7p1WeJDSqe8uReduDZ41DJje93uTc
aTy0X0Y9g/MDerPqc+KByU2AnI/w8NXOPRjCRIX2kk0NT8dS74eOkJqeTa6QMXCWJlW+e+eG+w7H
OxnGqqfdpCc/z+T0LuIz1PGefRLqjxexaKeVpaK6HFEobei+tvXjQLoVnwVxVZd0jAGXhLWjuenB
DZtfpXYXqBQFLiSR4B7XSv6IC546P+qoAZqCtZXroVqldKnoxTPEQ9IYcCgqhVV7gO9eST98sEz0
LQMYfkrm3wLDtrhQhK9PW84br6vpeSLotofKvkKcRfCwZHRYDARDz4PlJqgQdUDlAuYadan6hZYS
Tgdim4DyE8nRcA1J3DWTamu4L0D8H4mjNBSOQRaMPuk6ZJX7ua5XhRlNdIBA3PiKBxSRtw/8YdI0
GaNcssz6PrxuIXqQ94p0focv2fa0jNgx2Ki53u7IZo7pffxx2BT241OotYbXSBHCa18f9yWdMteF
SKHKq2DNCjdg8piGojfPP87LQHSCKdD2yEiuFi0iYt8xUrMfTZYLcO+uCIQXFHGlLmUv1zjGTweg
94s12JRBZ/8f4INpUgz2Q2eDlW6g+PEzair1wJheBRTWSoc/o60XASEjo40bUWd8T8Rj1ZqjOf3P
pFQCTRNojRwHbMIXcF37Pwmt43qnuhQGWveXdfLY+uLifO6tT7crJH1Q05G5HnolAcq+FJ37sRJq
NkD57AsilCLlGZ2YFmR6tYmpnZlol2H4RBJbGIfHzdQSUnVjKbLSv07c5XKGLs5d3OTcaMSwxaUV
r6ChWovIu6vVXta+CDcb1KyYQuccV2/LlWbVuW59Cj2aVFhgtRWherc++9cQkOnK+fQHgRSioXmC
zxUOX2BAFw0tgzYmy1Ths+uRyiQmE7YoSCr/90lCg/zjHJ8Rq7qKjmBE/ySPwNjnXpIRFPfaoY+v
Et871eAcJiceJOQtAQnrHKjHDIeLfMpl8kXMQb6RjvPv1owYntrlUugrYyP6H05wPOoQ0gPwsx3V
AG3UiXxiRJe+oIee74/BTGjhbFTnfAXRgOpJjzkYK+j9HjSa+WKC9GLW0dO43datdM+qI3lZ/7uS
KU0GqJSU74L0WznBQ3oAbvcHsLpc08l780UZwt8ex6mNbOI9zwhjDedrKZWKFP3LitVCdnOOI0Va
dEbN9Sly3+LtqOYDYqVs4DuYf7/6FB5pvG5gIrvUzsK8vKKWwiTog3zWCFdGjSDv/R2segnrvNWm
v7Wr1maoRhX5BahwY6eFUBRbijMZkvOXyecegxl0ZG1MSIrdqCCGEzqa5UotZlMO7UkFgFBqcLV2
VfsE0epqA4yVpggMggLwaCPETjRlMtG8uhR1K6DRy1waveFHDP8nUgm+/3HShmxAsOtsnBwk2T0g
N20rc/Qd8YDOgJK61QxKVoZy9qZQQXz49ljQDqS1lkL3AYtQziN2z10RiCklvWok0AxqqvdFFwkB
FIA7BAvcgb9mGqaVdK2iVUndy1n0zPpx7S9LkQ3kLVks0wE39EQmet11yyRtXXWiPOafDzb+v4Z4
KIHevFjhyI9yOwvpE3J6utLAOJKb77B38vHrIdN+H8Jf4hyMBriQo4sV1XsV9O/wqRueAMg6U6yV
fVW2RvoV2Cgiy5nW3SI/AIz+zC8To6Qeo/dbQSJxMsW1pRqKYJLOzbtsnLmIJqiPO9f7aemhdCe+
2vFdM5k+CUPx9qS6ayv9/rmk5zlBCjIxync90Frum9Zf/ra/OTEwxdxrUIguXtlUBL+KQYWwNvgc
gBRR2Bc6/Xw54u2ejAKfeRDy9lW/R9RjIeUJCfn9eRnLl3reMfbWnLnx7g/DJicOkfL8Ceo+k1cj
qX2zWjCFQ9ZAXgYFOjcABUPWGMEQbvkIbQB0o6dLPMU1gsyPAzIbowDgOdk8bEIrviVdEh1u5IXq
6Y4aToTpoVS3y1Z1YbwMJsf0jAvg6wi1aNYjiussVw39yCcrTmlUeDaN12Sih9xkqyYgaLzBx9mI
/RkksBUDclWsIA3v1HZMfC8hxaqo1FCvFHYRpdqFmibXJet/MK430Bfhj8lpq0YjjhLL/rKKsAza
cnoxpeVd0SLFJQgi0E0/qTkrCP0SUsrXLNL4Q+zI+cXJEibyFMD0HPdYefNppshWu9BLMVAcYSek
PWYQ5eMwSgJEllzEnkU75KTGMtXUBc0qP8AYwD9B/CL7UpIpvN0/m8X8Zb+Nr7xj38bXz0YQ4PXh
QtplKowqN9SN0zF+zDqeqjsZ23s6Vl5DRlaRD7c1a/CLwKv6g5WLYr8O6+1cwCcSLo3z8Udwexfp
hR5p0RizGh91h9wB4cuk14/B6HynawsfEsQFV3H4Ds039bBshWsdwoO9O9P32SZrbAFNvK51s9FG
dH++uO2vtSUzXSzfs4IXq+JDSu54DBMIbtYM22TGIJxfAT4zL7zUANjQxoS/nfqXTg8sgDZFHIOD
PwX3djT1vqFXtiyJBQNluo7WFwt6QFdKKx3swUwEaTO5Fy2KAmEbM9kW5fcTIH+Zuq5BD2OpVtgZ
hZXx4xVoM58d49ZOqg9ql0CBUzbsyDZVgYY+zIwRrcKqBrC6WfnF1AJath/0GXC/RHVGQyKHb9Gd
nSrtv6nRPv9ud/PUottbXoBiUOPSxiBT4pOvsXO/QXDH3qo4Pwp43xDyzh+69VQhBjurkv/+DTpe
Upz1UzZbAdP+tLAZaBncOqsTuaFX7zeezNcqMSdiFCEMiO9F/q3ZaDlZkxHEKdEdvlBUfcWnKZmV
d2Jh5b2AShT559O3iD034rZR4K+NEs4WDZwznudWvUM2clD/Squt44CTqCFaPDSDmsb1+3qa4AIh
t6vkvLiN5gzZn4DhD4fGfHZ9xQTyiN4Rlu+t+GMQOcjv+3y8sxEZlnPhBxXuyHMZE2GmbDT0Sz3k
5NJhxU4aLwhciFdOBziyLxgPqW12j3sQKqGhchN3vggjTuEZRdzoZKPSMhvOhNHiZJd0TuT9/X34
sDB91DJOE4Ts/lCVAVDeGjrdeIfIIJpwm8DletUgydBM7BVIUr1pVCmdJePaRce+N1hKEqmOO+64
th5fwcMAuhby+fJOb2HNjxFncBa7HY7Cf7gxxvzhj5n2q2dzxnOFPKD7QFKqFEoBcKQZTVbloNtg
v3GBvkyTz6269i/aXRfQ069o7Zt9BIg2doAk2zTWKuhJ0zZrbFBA74ssFB/yb82xTp1U1LjVGPTa
bBK7XL6dbMLCS1HROk6MheQ0hMHlDGArNrLMG51TsPX22yrI+r5MUQwmN8cmtf+fN57g7gLb7PTN
e996zHxLSXan8pVdYXEnnIt+qMdPG3QaWvSAYn6UgzQXdYH10c3qDgOdGgQ0oRz3D+aSfzEcFx8i
+ZqgY5OKYm/iTMx/ohQWfQDEEXs0hYxaSqb2ixA/DviAnAHL39JA5t1LQ71FeqOvggl5sbETXV/R
IsnP1qRzIci7eEF3xZRexcmiUgYf0CG2SL6BUpI80kSu/+p7haEjn5fjR01UEtPlR+srbk1qlVft
6wZYIbUVQ0kYC/IvPy+E41sHXnV10RHWwQ9YXDwSKoxtaOFXN11vUhSYcezjl0JuAKGxFu+lTjYU
vMAO9p1Hkau+icvE1EZEN5svt8p2xp6oOW9mqzP52lgZ+lXfGblpJC9PGoCK3RHVVyQ8APNzS6eZ
Ymipniw2SH2IjBdOHSHvyqFYhTNV5oq7ELqCUwUWbYRvOL9LdPJ5msVIyIaPBYLHxEEhHoNv5A6w
Aq9glnYUm7j+tx2kQRmOicW4PSaI+4Mc2eZvI870nAcykldoteAGSt6WMromvD96yTz38DJCjl65
ro4Y7IJR7CwF2+FrPKrcTo6ElWVaTzZjS+IiP3dIu4zD4g3ecYs7NlcdPGcMO7jESlb2TSJ6hOKz
Ch34ejrTxE409BXOTd8/pgW9bbCV3quZweQ6hDYtNT5AZ+YEViU3ZR1enLk3K/5E+IXPjD1aIBY3
fyynEAb47t+2qqQhAIdc8wGGpkIY/IoPmMg50JXsfswbqzeECfuipUK+zPXaURBcP/lpkVQSE0xD
1XBeUd+OOvwTX6hanv77KP52P/WKy3Ph0yXJh7I6zlxvBWGmFpyuGNXMsvfz/sto6Z4o9TrmWq9Z
bD1/NzhEY318UY2Ay3tjgaSqSFtWG6FYkDPEI20N2G3bgkaI2S9s8r/D3RJN0l6/LKbU1Qk1zlqJ
5niJI9eoP1QM23apmizUsbEBBAYU2skPvtd8BLNAaAvJUXTlN27GIEzQ6lpRHteel5m/+X1ZlfoL
p/CTdZ0FxpqzchHS+gaGZoIbig8NQYp3wmGQf1W63MeQS0ESHQ0Wg1y1+iLxgfApyPWTiC7hfoRf
sGM5I96OmAIPhmk+vAINv3rwQy5uKC38QWS9It53eXDQYc7JCAuDD+sK31EH4dDLQSxeHPpX3F7P
biu6/A+fIRlm0KO9XUG1cGHOhKW+dIkl6p4rzHCkrmeMNxH+syt8WvMeDvIaNQ8dmobiUUS/fJ2j
mEQ1oZMn2qhL2u6xdHOMMulR0UXbntu5ry4V26lN6YHqypwczsdsfE3/vUPA20iZOkLVYq4JlwLe
er1YD8iYDW2sK53cTKCshKgy6OwuD/lyfGBPC5ndhdd1usSIXzOFiEO6v5EygBcHcaw2xErViFy+
tnqHvf57i+7yN9/O1FbhpeD4iSkNAPVeAt4tQbh6trhqUp7hWBT69ou/tbl+v3zT/PoNQiRvZCKy
pJ79DV8GYPx0soUBY68iarLUR0/sm3/JLxParPpKZ+sgeFXNvevZo7wJRS4if4ztWB7fH5dRf9tY
33bUGijdTMR3mhjqag4JqyfUe7uNDblBKScxOaa/n1Qgs97UvWW5dffSdAPE1mobUAm5mE441wFA
JspPqHjLw7pTxKsVIDUrTAN28g2wwbSR4BM0APi94Ezi6o9+HXW7Jl2vMjfNJz38RckeyTXoJ5Ro
Kaczp1IkXoN4/+ZwfCQ/vnoe7Xdc3cwlhTeoz4cg46DH03X7UeqiDRUur06fDycOs72Sh8rMYEki
/08ulXt56JiYqJbNrm+8mMzXNLDcU90/BSFbszTT7IWex4YJTTBG1BUo7ZZDR4+itTZnpiRSrGef
ducA/wVO1TQSfPMcZJ047MkN3pbIC58pQDa1bjOIUdqLUaXlcudKlzsL7ZZHdsNhNmYtVaHM4Pix
icX8qgi9/AQ7zVN3CNyRvumsHVcEZ7hBlKh6gXwZDb24shuZi145xkpNoa60g6vaUG7A72tH8JYq
zsaogig2NK6cIDW+FHRCp2AgPp6moS0j54et9lxW7iw+lfPlxAKc/Iaj/Hc56NmQ1ZRXhk03G2Ow
JRIjFWczG6PHanGXOe23JK8b7/aA30wryeY31HFDpjlyQYJmGycG9N5n0VAbEwyngPByhOElHzQZ
wgMm6uvQwDEV42CKGbYmki0LKrcyraF6hJcIvYv6P8p7oRRyEwEYLk9JOfoPZ8Pg2DxZBHPrItkL
G9oIj6waE38cJBVxfYQjFsc/luC/mhefQNQ9CamCY8ther6vYTtEanGV9MnGOkohcgxsA7lz2K/u
ynx5vADEfvUAUExFYDfleySqzlITrdtHcNUaDKfpaiCUkBzUDXnpPsKaWVEnw/Temzdgos+shwTL
0ZALQBdtxubdEBbVulNJUtj10j4HvhiXujbGbDUvs4B3vO+m+pI2oTCW6WmT22G182/7BI4mQf51
wjQGoSyheCX9/wszfuBxKVSVKm2ZNpcDFu4VN9YMjwl6X/Z7gfhdQtBKRF5iMkWhR4X6z/76gl//
lm0+gK1WAq9UP36GYG5T7qQ4B2a/njSo8CkmmpnG/22N3cr9m/3lCKxqnG1Syva/ydVM3Z+smI7P
43F+VxB7UOn27hSYD17FvIGwh3fAUI8Zp6yn0yDE1v69KI73iXJq7KRvxScwc+otiLRDWXbIxLBr
8gthQPdmVUEaoulbvoMMatd6iw/47+KCJLHAPYmzGjhnwAugIZuR+2QpVaGAE0VPjcJ2p9ZVE9Xb
2IJms2Sh7IjOQCbHbJty4LMxwm3cQNJVaUTjeFfpL4ThvxapcmcPBM5ykxX3rl7CQqVRC7jVHr5a
K+Z3j/keyQPAWYEG4mMjYryaFsBcfM34KsrCRUZGHMcNwlidH14IZy8Z4w5e4NOTdRGjaLS3DX9i
FOwXztzBpAuXeKsME9sgXUvABBTWbqHMQReXT26N/H4eHi0BY/lCjyVCw41H0Xp/LC9AxPJDmVee
KkXmsxQ7B0YdsRJXm2uwWjRR8H0LNZInvxt5+H5mQ9wb12gkeMW0odGsX+SExehooVNtdg4GvjOG
Ic4QWMPktWPLbdo3VO+SoRVowJcqUsljeq9UBD7R7fe/nyu5rBWbnSTYDclmhs/4UkFZdRD3XGTY
1En8WsJKyxqAHcuDxPi+i0mdOi7llmSWmtaV6iw5sMcWrhABMACgjbj2RhG1V71ZI1Akc4G0IImk
7ULzbLn13s7CkM7Wm6q0pBVsN8haIWP1ZCOnqD7Ch6SNIGRO8fURtBH7v4eH/hh2Y981Xt/fIeuK
J0HqarCxALG+C5p/n+QPiQRe07tvEAG6wXc03ZuYfpMkgHXDS+yQAguRPPGq554lmszYjVw0/SBz
VMdV03wFpl8zn+eitjCvlftvtTIte5dRUllvDOsT0ek86pLxWN7nrQNILIS+M0k6xTPRuhKp7uqV
SZA2465YoW1AyVBOJNji43VfBo742Tvo5qH5lKzDIy74NF5QImWRzYwQHRLQn2WADJrZ9YYgaAWD
6LyDBkg/zxA9fJVD6FO6KmFGpyu388SMimeAATw/9oT6f/FRxS6C/E0wNuaC/L4hOQs+2RmQr6gm
vUMcs4KRr520jpThqdcmA6LHyiuc45GkASUA8qAf3yQIkz/aOf8fDNq6IrZx9TpD7EXBNKi1x3su
RNczD7vPRb1oajKAEx2+j7yzgZr6boA3aHxGQvgoqB727rlbETKXxG5w+xNJ0FKOH2NvirXKV2x2
Zj2HzJbulwF9Ar+kP2McUyqQTvCiuMKKMKgPrPjAQSvwhc5XVaVG10ry2cxjU5ZwuiFu7+nT2pHK
SOZiS0i9WAsP6Y+LCS6+DtocOeB/9Ip3aF2Rsf7WGra0tzSHGSO2J2rF/oEukaNHfBS0IN9CPicZ
ahOmXC59uiWKjlV9tsUFWxXfWFsBAueuwJRwdvM3NrKbZrWX+rqOXvnqQ4BlSXjuenyU7of3XW4k
PaHh33ZTcMiW07PEnwQrBLLZ0AQW892HrJUcIeIrFpGghD/3hvZ1tLoFsG+4v1FLVKykpOGc2cJc
3N0VHSIBCdumX9lV/0WBLB2DXyNe2/f/eG+r7l0hNVy67OSd/vVEyKzcEiqzRKMLWvqkWn6S4Kmm
C144wMYQjuiIpXKz3atTtySBqQzFFscsjv9XG1tlx8D2x7Fl4UAaFV1+08WjZiBUEQznbrGBzytk
4GkwVZsi9MmtipgCZ2rm2byRacj740htsunhADlozezf5ANwuAn71x7Xxw40sdqRoHHkNk4Gl4XO
VgZsGqK5Vqv1Of/sGehnEJMM195n+oAQl4LvRP6og24p+9G21PGorhQSs3oGo8aNzeTpfXM4xADS
jnJkPxVs7Zp7MU4GkjxisYE5yPAaoKJ81XNu6C7E2zrKtaill5Dz0uFOZJxcXxTNcYZg49v2ErdN
3vUWEIL2OfimABVSkpaA6fTfFseAlEIglslp+sV7XW3YeaZZldIV0VRnD8drFzXR7xv6ht7hRbdi
iA40hG2rrsuWOkl/hsFHPOllp58fKIsfiQYp3euIOalIFHXdHv2mYm20KFliV6aWEZB6mUPZFXJa
1BIzMl/3WV/tIZgSE9v+7MhgTUXpl+nBU2yhLqlzy/b+IXiQdqkOz3uUa/9SHOl/Dg9KJs8s1kMn
o53PpMGAeL6beW93PD3WksxALLAr509E+x0vMT+FtZrWGj3Co6EFBS5ExFilfaGLyKE68KNJKjHT
AQYVdzsmUqpWgWzwTWwXfzYr7XVN7reMzy0fU9fn+gsHUy5GwXj0og/6PUg975l4N0tyep9bfwXD
QcJhb+VbNp/xl3CIGmck7rfGPqws8I1wW1AH/zQSJBnFSqGU4qi507fRyLCzUnO4meKm1sJTF6l9
Xcaf3E0NboGnzA71isjEciJckWh86MIcrUrGB5VBVor50WvBqTuiMRIAlUy5dBKMAf66PgRsFysw
y1uQvn7uRdtnv6a8OUZJEqevMAD5wJpl+mH9A3hi4TM7LVSLtRSRRHx3tEvYQSlXPQd4HtuDxg68
DX0hFw4wqFzbTG4dRFKMh+R828/gPc23qSD/02THmDCjnyy931VxJxHS4gUfmW8rjU1YeTcK59ZS
N1ZaL/ckDCnuz5UVDbfZxvaTDiBNCGMj53hhAr+VcqD6UmN9MK/LMlsIoQvZjy30GC+ug1YuWSjf
XRKQW/TK/lyHZ3pCpB3t2MrcJsGpHfOZ3BmF1I52fVPKfgOrfw0AOqPHGP/sI/Rk16nj4F0RHHqo
dybRqcjErN7dqNSdQeOm+79u1RuoFJqMDpqeLQP7PDueNLVkjWdcebV9C4UPFsK9KW7QEvyPjQDJ
D6K/j2o6HdA7PqUvQzDwKkrKfd13wPkuIWwsGqihkLiJcWT03Vmnpxrw7XeUc2jlkLFP6ijXOPf8
UeHN8a0FabdYEz226J5KWz3feCvw2bSm7XXgjMOaMSQC1Thydwh3H8ESAaZ+tGxNjuOrE0zWW0Lg
v0B90Yr/WSjhI7v9+ysuRmCVQuJjgkB3iCnWBD4QBkAtBT+qGDIUslEB8RmbdPYm3G8DGkRn1uhM
BvF9BCWUk2dGVCU9bSSKf6V/CewOqKF2XbUxllCaI3aSMU+Hy5T0vDzS8+gzDVddL6l4JJdD0Kcj
CB4CKTArQz4qcsydDvIE0J2cKr769VgQetYIG8JMFdTyBiprL/svmZRTVFFqbv4ODTfVGu4T9jdq
chOdjpFEIWYCQRgz3w3AZJjqc5kdxPjF+soMLRaEmcqBC/N7a/giYzG0lhqFi1x36DQBjXYAE0JA
DLMFJIOIzqPc39S8ijkg3WEuTRi8w8HLHgYBfl+4yq+mbB5Ll/FDtg2cLayxxAT34cbEF6HSIS+Q
cgLupz7RUqB1VmAlYtRcNbON4+PK3egsRldSXtpAjLxfdgWZTnjxwYwVnhNJk7VfzFAWyEN2idet
dZZI4Yf90nkTuJEaBZDYw57hAILRzyJ3c0UmxZuzkgrOEKbJkn0vlbqJKm9v/QCZFAqfIxbu7D1U
ENTab02tTfbgCs28E7mIZ+KL8ulw0lzUH7Bx0soaKm8JeZKRu6XQFRvo/3addyml2n2KJaSuSSpz
sotxQbczsqaqr+vmy0wTgJQjOMXWLALAE2aLFzX5rSJxto38zrAOl5AGEynvoH+s/0PXWNQBtc0p
y0fOErhtHKA2aqMKruCKWlqr3jRV4sEOLQqjc6bu62v/oYnzZIQsql8HotYapwf+hSl0p9H16a74
t0JQq3q2v5mGMAirp8svdTG9fVxh2Dn5DOcq3Ipz/FRvnXyo2J7GGiv09AfCuRb+MWfDLnwHEjaM
bCnsFI3GUdYKlM1q6tDk8LXE5u8BnlrG+4/1VqAHseWXBtwhsOvMCqAHHOgann6hRnOwI/lpksoT
1Tjs0iXBGv0T7U7DNJIqN955zqSq527WiitknA3bgVMFrdRMmLpMV1Wa267cl6NHJ2HgtBBMcZtn
6hjNMEeFr1+qfS1yC1jfMf5qvvcK6w8o3g4fSTJxj/VmgPe4cbTA70atboiPXhWojHXDg/rBwM1p
yk/0rdZmArZzOw4kfchk50snPbDKbQIgR5Wbn6YcxxI4b40E81mkvLniEbcIF7F/CGYrghKYXlW5
9ak5oKkReW85P0uP1WMJ1PV0C+Bryj2PYZ+nt0G8/9rQ0E8QDfwjeg4yrzPg5J7JdN+vhJIjc7sT
IjpaIpSqn56KeoHqNhGZNNpAUl9Q/m+nBaz6UU3EQRp/dOIRvyzK2dBNOHszfS6YQhBbNqSsWGKN
sWTihzz0I73gCFu23uH4CxmoxjBXown/Gx3SShrF3SqyxY4p56majO5XGWFWzXL+kIFZEVTHDvAq
6U0EYVrQ9MKj9XFGiZIunPPY46oBxIDdNjL6c9CEzbHlxvD5vdlMDZh9mGBHpGgszX7/+cAbTdPg
zx8geQbgTL05+bRHKku7o/sIBkKhclFLF7ugn3IyPrs9C+BMqehA0MWXynvSEZr9Kbtqv2r+9Uma
99dQs5XC1GDXXIIqTn3MOgH05CRm1t4WM4S8Qfsmq9gPs01heX6gvGnX4x/+ZZuJecvKC7cdeT6V
BIHEZh0XjHzuf8LjMf71ZKRI7/8K0At+Rk6K6CO7JnCNxkmZMYdR+vR/gNkVceBmsAgF0B0pI5p1
pOVbM8D5YPh6gCsPFKP+KCv9dx3YpGTSK0bu4VM+shnJHh0naV0vyeCowk4+CeBe1DImgv5m6BMM
XgYa8I14wPfcvhQuGE0JIbwFCKfEqdFsHCdGiGKxnlgplbd5ltRHSAR3PjC540ibgjxpJOxXlWgp
auNc91+GHhE/f3XPg61ePe/DBcNhJLEyxhi4QiQ6YbexnrHezCh6XVWcCEaF2ta5vzqexS3za+RV
hNCxWyETsYI4MHfULJgfUgRtGMCorakGRX3DypyljWiibWsSqkuD7DwcF/Vgj5xfHZBLG9IqDXuy
VP5hyWNJmh9TCiEHN4adVjTtGbnVOEXWDVh/LsufNe4rPNVvDQozz7KJzPLYnDWCjm0qxWGjK2NL
im8a1Q5aBZ+RJTExjlM2xxhlMYOA+sqBq/6Na5PyvgC+2YAdaGX5ydDsE67FBzIVBpCgMAaRxGe0
rDEjrWAv37ABQQ9empOY86a1CivG8F03u2Qn58E3QGT4lreJ+lT1Zkcw+MwFkfBdr153o+tQZ0uv
8f+mSxMbP0fsDI4fuaOaKrwL0J6PY6rNaWszJaZcjrNfWui4M7yomKC9ErKjUMQHuP/3FCoarGHs
/6NPHnTjtnka74E0kkTQyPTCmeMTVC3M4WVQ2lDttS2wp3eTxln9RvJ0KM9VtJeeBVdpheXp2xyr
6doSCskBFqvDnbXbBDnUz43HFYftbKzkBpdEoob0k+ScDTyfsWa40sSk+OwcydA9kk4XWEZ5CKuT
cfsejibzHPlbBZ18npygriYaLrcaVcOellLtUod8ygvfDlwuLr+V+/4ysimHixdiOKqdizNMV3Gj
fFgt8Lz4KgnPh3+CXiasZqcLGE7PhVcxOcUPNiclGZs9CbKXI4eEZcMQHGmL4cuV6c/mpCPPBDBo
ly/rcw5cddPXiLxgwhmApaGknBD9kFbMsJFczLu1eSmNhn/oGCXvxyee05me3S98DJMLI95A2QG/
MZSBLcqzitvELvAbJnPSQqUp4eULc2S2kNbNyZ2bpUEAR1S0LICt+FwjUNM0lArX+TlXOK0ilJzk
l+TL5kyPGuaPQTvzsaNZWE9Ncm06mudImnJf72/kSUkUzqqk6kP+I+IDsJDs6QifpLDPbKJig4Nj
CaJG6gsP4TYNutmg4LfiSBAtIfhurML1OXoM2HpVgwuvuJX4FQdPuEkPlK8lStngVyZsdBCzrPx5
dmiybu7p1hV91UiyHEsJHBVKD6M+lO5IH3owjZA6qqUlnmW4lyXK1Opf17j5buAvikoHIKq3IOAr
RI43prFAJ5EFPDXxBmC7N2Wf7FILrQxstaUxJWHaCBbY6Y1QeEj0T/I9SzJmn6sZ9KQ2tFIRsxPy
jXT/h7Tnm+lSwK+zontiFErQB8ZU4btdcjZ3mn2/K7ev5M/qP0kVRE7adLyVq5HoVS1eP3VPODcp
nigRiwVxh1KHtnFdCaFISNPReTziDlznZuhtCzMgvXeGe9M9dhOv+nAqeZsDtPfjhvRpThlR19W7
wFPaq8eD7OZweVRO7/6927h7aNPf9kz4AvakulqAtOveoBI2d8+gdv36x66x6nYLuekHAXr6AwMN
ia/v01utMC73YoIUei13LXalKLSGEY+1aaXnABvC+tx5EGmmWu99NQlHlQ+6e1p0XIXjhWpKn6ow
a7Yx6X9QXl4Ymun7hlwrV9RBbSeDD5y1RNitV0PNF/oEVQSOfPzQLJK/vetp12SavWEnIE53smSb
EFXlaUYvjs1SeMh7tRvNz24+rWSW8EJSPEVy859+7HU+SVBbFQdL+JbHnv/jiY6tZeUFxIuDTeFf
GVcLMIejq/lijsTRwMaJYsOlR7/uY4J1dfhMnlj3KCPZ0pNe0MmyRu4lzcs/vEZuJXtw/FIhK0DC
SV8so5h6TNKOKLaYaO8B3NMP/o+MW90MP7dWJs0YhpTjW9+ymTwsXPdjDzRcSqIstR8N0IR/UWQL
Nbd+Fe01qxcYLSx3RiridDaC9zRFSyJ6Pe35moHLhhkP0C3SAweQTxTyJIbWF0WVUYE2RJe2ntWX
mDF8+9gvsv3zANGPa0y9SfTDbXfGbIAc+HO1KXkz0IdYftc5jd4sLU+nQb9uy38EofEWEJumileV
ipqn6wVO6lx55yatgu6RvMxa2kePmLnYJ11h01ClzuRY/98S8vUPKIuTgtUcQn9ZlfCQF+B1UOhE
a2yzOoBcX3SS9q2jik7ehweo42iSIhfaxF4CUDHWkGR9oOw4xDdGXAjV4J/zfxAW7aLve1LCQI49
UKwg9AK0vYsWwUkZZQYX0G3gEKP5+6AcCxxdLzVH4lUi4wnz2A0QHjSm8uoBmAytbgz/T32itlXZ
vtu6U0aDGLDYetUSEPfL7DAjeLNM/Dv5qPe8ikviBPaL0EZTgA+cTQMQznCAMRM1k/W7rmO+aT5A
J9X8zb2G4De6ynJAcaBJ0H27MrPOQUYjwz5GRN6mQ87sVJ2b/Jx2iVjio3WIJ+ci2MGvmiJ2yovL
Wi5fd1do2ay2VGGSya7N6OkHM9QYZ4zoqFH3T6EKC4MxCSkCYNGdTkn4cVChG/I2RVnGbPVWpCG+
Fq88SyU3EbabmT0dhvqH/Qy3z3Mxr1ZEZJHr7Ft4w5AFwDvcB2GZBY/K70F2F8kdaoHaqubl7FMv
DcS5JDb+PL+vAAFThm1a8D6LisvgSu9IK+x4eNCDXxhhNFaUDPoPR0IfwNseAj9ku3pdD5bNuGyq
38kwIrvOLMWhBP3jJMr8R3PlKiDLp56noYYFsoCLWElY94FlcurLRKqoajvd07Vld/Np71l/Rw8P
huzJYy+LXjd/TYjlBjLLBwOpLDFOSxLjBeZIN6jNdH2U/VG6i6B1Zb2YOTWg6vQK7pAbWaaZ1lWV
Iao3j0P20pleZe8V8Q+Zg4fChmzrJRS8IhvzzY9L6O/Ub9bEpSNhRsiaevpmVb/Znt6/kd4VgIGD
37Jr8tuqgsXhX2Rl0uuJK6qo4BJO7CsevxcBywGIEY+LUU2f9RROt5swIp87psbjin3xdwM5aUpW
SlZtjT25r1pAQkWt/XN1jTlBj2ZrlpXt7HnEDleexUVzW+dUIobYNX6LqELNlcvWVAwAj1Q2HK0/
XQg6PD1138OBfcy/ToEIbQZFV6xCzNLdJnNlgikyZ3+w9Zf4AcfdVplhhnmk8xthncyointW2Umm
B/37rpWqvZLqP+AAAO4FI7uK5na9poTgYQNv361l14G9QGOWIJB6Cka/IaC8cNad1fXh3BaVG/tl
TudIJ8EGhPEtbk9zjmWzDu7nm/lH4u3RrWXif361EOiSKBQxfSOVt0YRkuYgLg+P2wWrOSHBubA2
tO1+VrYxysbMt9ksDDnSI98XnZ+GH9M594URjogoWGfbFykRI9VYrkC3+a63MZYaK/bgVwcwnLBJ
sIot4TCqlTcSVKo8Tz4xmjyQHuayFvvymPH12uAggvtG3rvGqiPX117VZtFLLPZJTDLQJ47FMK1A
Hdu4JiQre0DxljAF3CQthaAmn2ReX3A6SnbR/Jr1fpp+OXcQdq6S8td+hGA29gH70ZlXskoxdIGn
AH3XrSFFALXQ3bQ2pBjyS2Hvr1i6w/ZRo0ghubZT1R9+/Bi6MeC0unYhyf6/SR3vqXaXDjCM25aE
vj9gnNRo6tc8rSk2ABn1z5TR/KF0x0/wU6WVGEnaKaAWWLngu6UalIOJbHmDXMaJyNG4RLpB4j9v
M7jK3dLFG3UlpaOTWbuVsfln+wFg9zCIEsxDrJFkiO5UA4OEaT4YiTnyzyPMOyWRmecOVjkp47Bu
dd+Z8bXlx37vxxuxn6z9zhAaTvWkWLuj0aqj8pZo24JZhXVLRcvDjWjMBoBImEPb+bp4EnFn0tWs
+H80j1mfYNCFTaChnHmRhDFn76HsXK7Cth6ITZgqgK2/0c0NG3IwlkGrypJFlY5/tAETnJZJQnlS
lTHsPeISQch//ZrGzMwln61dZvxvG1yZsd1Qgf6nmzGab1SRFX0OiUQQVBU0lHJ4y8IbF301eNS3
zl/4XOfZTBSpxDmtOIVzHCdBjZRUJAjShcGOADOxiqCMgln9F1ZGiAJv+DUiQ1Iy7Zh2IgCiomOX
XSFgw0CutADd2c1g71hjVc1gx495W0aN3YTC4HwZj65oIHgJd0H6xti4GCB13inzQP1cUakoBrPu
xn7su1auyS+e7yJjVyeB4bBuOpVQjeBPotq8PiglLJEqvw1yqiFMYLV3Fp6cBYdQfnYBHgC2KCgp
X1+hYoDiGGK/JX5QbaEV/3LxW6OIAsuivFhc5pztYVCXxsjys/MLHjCiG1lOmJoVtXdnchh1Leqk
8RTLgnqrtlyHSUX3nLhVrdE5n/QOgKDuENol8/JMuwwczIaMbVtkiD3U9CWYNH0wUDofNsIChKBu
C9YdqwpiAkgIjsf+lUTiNEBeCxHFFeLXdHqplhjHOSGDJklimtC8epjgkihEpC55/Qynq+y4fgci
48N7o+Bq7kvYrvbD8+2e6kcC2m9bAxo6SehY5NTBRnwF/wRVkiJeBU9Q55M2Rp5KFR+v/Cl+w+yY
iCLIEKmuzQzjrLHR6GgdE/QtP2kOaHBaSagMaWAkd1S7HBPdHh4ZzrmKC9LNOQoLqRSZYWx2mLlY
Mqa/XNyXo881Vj7q8+TmVG7ITC4If7R/2qCBrjbHQvU3GCfz0mrJSthxmCP/lvhTuk2xzIktC+rw
cOatYVSOcW0E2WKl10yhduQXnafBeBXQYK/9vG4d9RdWoKdouoHahs0KyJssN+/eXUerp/IkM8Ag
jQ4taCu36mDn6Vy6HPknOeXSd7umIpZqIR3YIuNctGdjtgN7DJoQXrJ5mnbd20a/+ka0JLagZO3F
O4ZHZyKBxSkavqE2leMfkMiIlf2Jlv7x1sH/ePnkov+Zbj92By36PsJIENzizkDotw3wTIBABCiA
qGfz0KmkFEC4gshaEUFYoRUWEnY2n21obQ+LFXn6SWLasdcC9adQ1fY/bChvX4+gZ3S3EKv6ldd5
fsth3eqTNdbr3ymZcsm63a3WEbGVi4XuQFN8Avn81IW1VtTfSSIw/bDvd7qAN6syJ/ueiP1Sv0zj
jE93K1YB4N577eoEDhNjdxUMIO8x5+VGqjGZR9lUbMjqhTYPpp/wvBCVUBl5yP32V4RYyh6K75Fn
H8yyD/usmWSYXYSqcmUIV/OEFHRx0vryEbIiR0/M7Lhs/sChFtH+wlBbrCfDHtHaZc8SykT5srgC
GjCIJz9j5sX0WP8b8KezVnOyeCyEmGcW796l2vLdhm/vmelB7GRIhxFVeQtoiGNZubWWPjxEu63+
wgebf8yu6/RAdx7CrgSb9jRmqeZ+spbHmrfxceqfakWX7QLVyHZ/hhuRvbhZbkExXqZl2/kJt6FK
6K0Y5eYZkL9g4HC0UbDny8x3isQekaKynIODDjWRaX6vGEmrPZMlrFl7LpQN9EoWrHR2AlqAVxhl
ExzScB/JcVcEATFGGetS2a3Fue1UtJ4eo4nlYiuEMINHNFOOEG60B1rdpuNfvIcTnZob0VPg7oQd
KkOmFxEjj/z/aAM6a3yqE+m0IahaPha/hl914+bpr4BrHkTnJGTPsg0DtA2Iy044MPS0V5nc1vbR
rHyNNYZNfClteha9EN7UoNfZNVhIhOwTMOtkv5kIcZHa9znnAoq3YrkNxOti3iis2o6ZmQrUTqjX
VQ2e7qTzbH+Ll9q5imdHRLLmYbW+y4UczXu9kjQM/I/4NHMMCbKijr9yxNKN51YDI6SaTDDoJ4sj
8sukXaBcwT5oTvT35D3BoLmlzWgAyIVYvpaIU8NZ+aW1fzgXEoRLuhi2HmNBn1Iw+ksBE+zJGZlf
MiCu4KcnwLQcqCBG94r5tIhyc9JTkKoPF12R5CHIQEubpYxOSfWzHyTe4MZAGYJJtaiuWX2trH0q
rUsGoi9noCcNC799t1xYgNtfXTEhLc6U4cu+3KCWnDFmI0E2d0uqZNjLy3B/q/xCIPpg4W4VfKIK
rr2n+am6QtTOk2OyCqBh9Xq2Hno2/3wAQxDVTfCAm3vgpmlf4THKTO3Cm6RYrM/9tpKbKhanUnB5
7K38ZhqDj/eQDadw5zdzX6LZBw6CFo9yZ/2Y5fctFZidLo3kPbu+cD7lORZfU1UGO0t6iDdcH4oM
4lH6FE9MkRKdhW4MO2Dy/ixSMCVm6SQCidyEs4qj1IBiQbXCq4DPdeV6L/rPeHDLgUqp4EX8rWHy
O2LCsFMsbhQvEQHk75TLNcBUXbMW7BdYvzRnmRy4v0mL+2qzIrryr0YhqUtClUsJRe078skXThiW
EDADp1OKIIxEUZmNKRZi4a5GIeFzr13NurzHm4g5lZPYHXZixKUVlvwEaF5J8iM7CJAjKsDKrlfB
bW+COxbA4Kdgm9wDmESIo7Pzm81tGZTXY0tXEz+y2XKC+cvqjQE99jqr8NkaH1l6wMB+zhCX07xN
lBY4k083BoSoqwSvHfazaSoHqt1qz/XUn5q0HgM6OUEHbq8FkMoTnEkaGhpv1UTb4/uu1f3BBuq1
6TQXwoDhiWgrZs4+30tSnO1CBIHDE9OOPt6CPYreEkUJGV/pI7Qlo7KAybZ1kbN9YHwXEMTV7BKP
QE04rpI5POl9Ugt5ay+uYxZg7exgNoo4BrBzX5645tg2SSLtyorQvZfQijVrpO4jeRQKXd/i8sLM
WMU6PB6i3WrmFnD/WB8+M7w8JVrKNWXaeu//Q50AaVsebQxxq5odOqblR1HmmD/xNHC4079Scda4
0O7bypnh/IFYEwoVqGPzmR0mqhCLbV9BVek0Ini7z21lT7TwcfNBLBGQIePYUYMIcUbfc7WzBMIE
rSI81aPz+4nB5E5f4GhKNO5SxeK7haBKJp7SqKpjRvyq/R7UlLGnPVbnuvoJfG7wX6ZdpC/hoa5h
knwxQdsRhT6xrd3gtUvWHVDsRQqGQdvJHbnjiIlCBx3+lDs+eLuxNEywJkJ2SQgMU9jBUs5NGEwb
Bxlne/AWGIp/b103Jm3CIZWh1iaELMigrjONhYfjjGtLN4mBYdBF2+FQVvx2D6MqLBFbIqr2p1ey
KiOv03+g0eRNgZ8qny0dpbHOBxwLED2Cfh6BfaBTkYoz7wWJKvA4pk3FAytP6RsgClJqxBjxCx2e
kyY19PhBp7UzTlLaun550seQVUmn0eClS7/EN+tnQGU5Xg26jVTzTbdOi4MLYFOn1OlLXdFzkf5D
qJpOWRzx9MUBsAxU5NsJVtvCMLj1NqXOYsXEwCSFCurKGifEB93boEyDnhgq/HXD59XVpTq9lmP2
BlanvAYhBM2SJm58XXQ49pmARtmmVSZyJ6z/CVdMhgQQp/fRojnDGPDSRsTx+K25TlNbQ2p1cH0U
4W0zgyllNvDYRRFBLwFQMoyK2y1L2aZHDUOZtfYmTElNsLyAKrxYwTStJ2WHnwhrJAvGW403W4E2
iIJdHX44YNJpngq26liRci+piIKG/fELjbO/B8+89N7SysF7wA5vXm2vt+L0RCbhaVxe4+Az+EY5
18NoGdFWGugbF3z7cv+/tiB/lEVVy8bx61wod0jgG8k0l5XbR49Poo66DDZ1FVfERMCbScoTUyq9
5DpU6KWPiU8qYsup37wlcuGlR6qQ3xvaunemgj5wAe8zPUEg1PeMej4rtF8IaonVx4nC8mm2Kh0D
pdIWVXVGvbRa8UQRJ3lPTDCSm0WiwCjoxGzCr3N8yeyCHhavJWE+kUmSxLnEh+z9wNmdFg9TF4Kz
4mL0T6BFI3IGy+4svPNE79cicwMjDfJ3otj1RabFKiWxXEiQGTqA7JTh5mTNofFcSjhsS9oRY+Lg
4M30IZGFiusoJhKdy5b1S1PdmPY27u219afVL4lH4BvMtlw8A+uiqBqHDxi+a7/5EaNu+/TZkXgK
6s2s0Cmaunu03zLPCetI53LOm0uFW1OKu2QYhzdAHaX31UZv/nWfscVRgXZjXtu40Q7RoZ97dZoe
2LTQqul+01UE3BT/m9j0st6Pzsl8AWd3wnHY+PVs+a1CcJmXomybK2NL/A3iLNIVQe9LqyJySAdB
O7cblX4TnMyw1Fu2f3SIlOprH4A3Y8saO/OpRpcMc655NS7JPuIs+zF1Zho0Mwm6hEwtpQzOoLNa
AOTnPq3fcr7SR8smBxfheKqeyQgolLQY+rSsZJrD0DSK2OrXuUA8jtV0S94cnfHovjMC2jBFrmtL
up/18H3+bwx6dDGIdOyIwXGntAuK/Oc5PR0hlQnEs3aTHpLaoGu4q/2vZU+Gi0OjXncc4Ug797+W
sPoWOOFzGhPp185BKl3bO2jpdo9BmDYg/DWMhshvrtZXI+Z6vgWu8BvNxdzB1vBtVR1speoR51S2
15907PF7gMNCSJjralIUiU8qkA0S0eQ3twdglcXEZerAhgfkOaX5uAfbftKzzMUkAaR35Y96hLFS
emj3EfyKZUQK2s6U+b5sPbTGXu47dgolW4hyAsnSm/LCMJomfv80zWzKYtq64+tX/ZyEv/QyawQQ
O1DJLmthCUkqILMgVG3JPrXzc8Siz87ATgbP3Lchmxafj0LsGPPXSyV4gK11f1oZhCer2N0ci6xy
fW5jUh4t1+HXxW8rtPlWmenxCIQEaDm7iBkj2/k64aFTCe51GqwkH1gJvMjsU8yiwSeeOn+r4KWD
ijy4FM+xr9da9+pg0Us5wlC2thr5IXuK3UrxAeha7jvEHbe8y2OPBLC8rUNxOwON4L189K0zxeEg
0QWdxRHue/mlAMsLyRmz5wHV03KlLlWQuc2evPRby7H1BKgCWEsjJcmmTGqt0bzWPtCk1sQAR9dO
R8I1Tcongw+nbJSlLEwPSTR8tzd0cctoBlfvSv8ZRVJyB5VfQts7YSQt9wZtINnK/mCrrFJbCkJY
M+jTqUYVpi+uSEDNOs6RPBYu/4I7vT6IsFqcmvF9+ZYmxUYT+Tmf2gYzmV9BMf0/OfN8wZXzMkke
NydgL9XXIkLIRtVeQPwIRI47c+A833JGFma4MboGio0HRFJmXdSlTaKmeIUjUZbW3b+wrgRYwwrq
DNyCwHZKePN2nkd8bCLxwccCaw7bIcLwE4xqLLc/Qw9t0RTu9Y2N3O1QbDFsVakO2RBLwBv+emRO
iN4i9EpnNK9UdcP5B1d/Expudsx1jjhRF1dyYjMx8e4C4o9gDe6HGY8TbZAlJ/rPuh0uPkuxQIhP
mUpxq/CKyUi6XoT4lxb2pCHgyM1jXZclfqk7qRBp0zMaW0neGi2rqxKRVXf1ttGSbloDHpuDDEtn
NHECh+vbqnfbNq7pKCMrm4C1Q4E32DOj2bk7dddzpDOOi2KvymYoUDThLFme7TCHSxhls6qlOlrV
+KRA8hduM2VF2OFsgzZLz990+oM7CQ5Zz8ED7KY8TDJzEsyma6b+37fu3ZiFNcWzrvzKmUqrOkvI
FRzSed5DmZPUqow+BcUrIVcU+0hgO/JOBxqSN0j7n8vQAXPTyJmKBpvDnzYmmxnhOQXBY1vFPpXw
UQ2z5L78Eo0blADOglE9mPbQiXTNh1Ba+1SKH59DhDFYOPE/JMwU6O7vE2pdQY4+NqpW5CyhmG/0
4okFu5gjQvORH4jU3IC7xow2k80iNI0ID11GOihk+8uUVKc4C2KcKEQ1wdVBRUibIcCKSXmTKbyL
aNqLqzF2J0lWRJS7bmUbFYiodsGWdPFcs61BwesALrJ0OOobwXx/tEwNtERRfBXOkTaYkK5kci3u
Y5J1Hsl+x9F7Q1kiwT3UOPOcUg/Dm8LW2It+Mw9lBsAtq4T+W3qwBiRevz31qITE3++nmgvtPHB+
axAdMei8u78rJsaEE63ilsGDLE6/RH02uEZUlOLoGeDi9UrLKLBfX19TXJNzOzCs6euKC8RlBxRc
wxHhiDzxUWXIdbrCe3Bv3y/RvmRBWhdcCvIhdyOU8y9uOHfBrRzBbFPHCkw1LvevzISfGzx5W/Xh
c+arfXBXnPxkdmHF6/v7sp/rCctYzDAhfEBQ9NBen2CZPXGNIofG+P+TpH3EomOKGJjtO6CfUeYX
59Mb3B4xhsdJfmVXFX2ibtM5TQgSjpfSNVumWZ8+sKDep2fLSrTJGn3UaXbDRpIcsqucH/G70GQz
8Sxjy4XlaOlmeKQIlSDV5CjQsOVcI64sdrGKUV43EPbTcJZVSAaeLpWCWzFh2TTNq3xNpryxRnJF
2mnFeQweyYeVLlUf7BkjbEEGBH6KgnU51ae/bJkxES2llVpYZol/7aWgD7giw7H/4yTkiMyIQ7J7
bMCMR+HmbVbW7MxkHpbJuDcsj2Qvb99qBfDnyGcl73FAUYkxZb2FduZUboSA4+9B/LJbe0A0UWzZ
Qc9hvIFAm4q7M6G/ITGFJI7MsEh0YVzx3g22MtDUVEvDRQmQm6W8UfrbKSBaW32iBu83cR3N2B0o
uau04x61wxGleGGnTqAvcYZ40oW89W21Jm6YX+YS3rh7K0jftU0rh5J/qtXZaBnyOJhtrx7dsqRZ
TTgSbbzwi5SuDBUwjk+6zpJhyo05knfdbiCo498acxV9Dpj89S1TmMwkcSFmOBvl1BpT1n5Q9c09
sgA5JTz5KWreg45He+GEjKJlmzMuVeEUq7Qnw6ucwWYYQNrFjYDg6S4khTqT1qNmGQSkOWi2/TBO
nBgSskL1gXhRaq1Z4ybtGH+l98c2/YKZ+CxeMo1kuJGvxl22YRlONDtU2h2NFSe8hwaYzGn1sVP2
06xfAdHyKR9McXj1w/Njrn954bVKGulHdrQfZ7znyDWD2FWabDrLgu/UHbscACNiG5R86B5VdYqe
HvwXqyEmQtVEY29GtaX/9jhB5MDU9Vg7iz5jhJvNsny1jqbNuR6rmnPZWMBJVSuNMTlRC+k729CP
RDC+PxskE+pUMamkmyz82hdC5h/cvxpT1uga/qKl1+pTRI73HdKrd2Enk/40VJKDTtGgXR43BN9e
aARdFpwmk4FdigA7pOvNMfxUjSwzKDd/RJvmn+LY38Co5Tbx9Ks8KPDZV8+dw50qfz9lgpilqZWQ
IzcxkIkq6FmIAFco8vXwyz4WuEBYAmIR+WCxNzssLLmm26ME9Uwd083v4HZm2wz/vnK9aNoJLQKH
Arm13TJGEhWKG6ORp17391W97XqrnLtJ9BTs5HCEEgSoZEZmrmpb6cL/4R3uyjws1ACAwg07+Vbc
AiTbaGqH14xECLLiaKZpMksSdAqqMM1RYeeDzrm9OTaEo0yO4Q0J6eIv5XKUJBy2GsHKCb0DKQia
l2cP3dV60sO6Y1lnxfp9ra0pPH0U512pqVrJEtcxn+v7YVtnrOqu+lbf5pjsux+I8ZdXY90NRPzV
MItTGhmlJX8PLNm11pzjXc+OUeE0CSD/aLbUPBpDKBrSzALk5Cx8dw/aQC0Ir+WxTKcB6yuMBTOz
sXhLSfQVsWsRNNsQlUvN1a/qdcVZ3ZJthjwtybEORNx71NAGUXuegy2wmSmMKYPYKK7rJ1GyheKD
BZcZY2iTS6wvGGfNlwfGlPy+x/p4Uk0WLD4mNDZVUQrGWxAdh2kyt0ns2ZP2HEDjt3loiI4p8Niw
5iS7xGaCqWKoPpHVcVuM2HJBWYfXmFzDJEziGqMPTRn48wpEnXSKA2iFgPgKuMG93MKYoVA1yr/a
7fjTK3DMNew9vO7cXwKcAUaXGOpF82kYWC/MXXpvBLvOxIM3HNDXt3nxcNC6BVfG7dbCAjsWjaNW
Ao8dhxJ3KfUieaTpaLMy6US5PSbdM5XV/CrPtbnfhGayln6LdCZxDOsDhcK81wR1rsM1D2PMaujE
4DgV4b5ynG2C6xOO9ddcMaKwbpOdSF38/UGb5ZC1NJx61QU9NsOHMym3+Vohyt2DaDEs0szYtfyx
f4Gg/RmBE5AhMR8UbNziVoyLI16OS7uZPWAvUxCEUrvgmaghOrDTZaopsrBSrTOWdGRnLdxExvOo
LGqq8+4Y1y5uVXu7OFKAYWCRwcYHfiyXDZ0C1MDt5hsAUfxeocoaVMiwC2Lvg+KCgjwHlg/6vxlG
j8RUDKW2Z5YspASHDsTxf9gQAtXa4951osQy0cxl3j2al52EbUC97oEZIFw97K/CybmOR/speD7b
X9WbRtWJm89k5WoUJsspih41BUPpEhwqPlzR5kgAYbHyw3AdQTcOlOQn9F9dkPzRInc3h18h54vA
0DrvvrDPyGf4azaJRmPlYEO+6phFWjxz3cXTTrOZpiVkso02n/XbSLqQymU2ZZUKhEN7TYq44/uE
d9X1YD3i/Q/Zb50wTGygowur4symvsg21kjadv8JPqgTLKbwHg+ZrlyLoKVWImOjTZSuNDHSlAkJ
Voa+CkG3FxKy/MosEbwI4/EF2YDdO1XANXb6qGgy1gRMY1eJ6HBQTrp6IzpM1PVt/9xqu20Sxuy4
OVJu5QOtM9fu6E1nd1CqTLgPFnOEsM9I7NTX2/tDoQ1wlmzDwHYcgn0Oj0aa+EFMKJyzsDfJHak4
zRO5zTJaLUA99d7w+v9NVk1lIAn0vf2qzdmWSQxs8KTUlCmgjJuolQcVxBuGVkeledBG5TeeJLde
0LWpOFw9LzhhZ3udtNj8k4kpKl/JHD+HKNslAmHGbtTxtXLhIvOvKiq+hiDCa7YC2gRZ1aGNa7kM
LrHIpZR81K9Biq/7P+Xzd5VwfTa7c99lSGvnE3enqt6b12JYOwlvXcGtKpQEE25g9k0cphi9ACkc
bePffajs00ZUevk03ypc/UAaeZ6Kwapu8A4zFAnRbtwY/02iEHbqfAQvWuP8fjnFrts+X6l8WRIZ
9Q91vkZz3vPNbbiBDqxBnDpWCTYZ+mSHI/3ikDH3A0ZIsCE07H28k/ld/+dMcQJJm3dkcHikSFzt
QtMWcS+kaErB4CrItLriBMjMATDHex+TUFapQG9qfysGxlPh5uA7H35iMRgZwK8zdYVurOLCbCZG
VC1BAH88iSq01+vxejLqQY190sdT9c92B10O3jy8MXogAt8FQfx1JCtLjOstpC2sQqUE06ocfwel
SGf7Zpkec6t/p+pwSRUM/nvYiYHjsvJOBtqfh4zRzSL/MmQJOOWOamPqCdJZEaFds91iaWwTiLjq
2Z1VSYlo/IxtDRTsmIstRNoFlUFNwANDPzsh1vXhNnnVO7oEiF5Bga9n78jqRWpTF6Orr82rGSfD
QZb9bVz1tQIloZFzdD680KC0MnZnuAzVjP3CyD0K/LR0v84TYDR9MmdmgSS/vz7OZ1L9LWouRRds
sxh/JoY/oAPgFw1P7ErUjLYhWAAbyj9NE7xFSEJ7GY8fQO8FWA0AkSWzROho5R/68mrAUHXn9kNQ
SpmHOPdyXVplSgf5yGJS9+tCnDKoeGHvPLBGkHvP4st/vtXh1uDFSoMuzGebSyGeJq10O5Avcp4v
+/8ruWuiOf570roDI8sg1vjpr3/6iHcP4UBvz94UpdvtvxFJ6czBcNwIR/W3Aw+UbNkhpsvnfuHD
mCIurNsOcv7ka8z6X/3ktuPUyv0xG7IrHWqG6MrcdJwnh401xIfY1Rxj1Q7yINVsweqr5QEdc5ks
tyDQDLnDK+01x9I2NaN0Bh2AHdnKGFMzF6NkGgA5RW7DcvTLcWiP5LrIU6eXD/QlZ+Zbp4MFKi0x
3S/sFZSVPRvqDabbTTFUDTngIUJ4TH1yNyjPBKSECQeCwJejECrUays23CEaf5NYGICKUBQG5r2S
WVO7QDlCHl11jygcKFiL6G+LGKWHY7rUYu20f8Ld1lUTuBik0nv7Wk1JpxNxzAunKVLSPiCCblNK
M+xmgnwDSry7kF4hMKSjS6CnaSiUh8c6vbWVa5dpWmCKk69pXX1KvBfvRWgleGVKQWNI1Q2iXf5r
ayuN5m4i/vfltfyQpMwlKaHVqfmj6bi+Su7LAzXdEqutHfwntPSl+7Z70vG4Jjgjvxpv+qI5k9RH
8QVOKLKk9zfWUXrAKJJkV3mFNSZswppSTTE77b5514HellB9CUc6TdBRGeJYW1P1fOZ/g3rZRU0Y
oxsKPU0Vf9gWdaUgtnDX3QY20VsSoD6UUG2y+4Q472Iyxl0eyt5k49EoftM0rHnGwxAJM2x37Izq
u9zBNTctwWENUv1IIzdkHYHERcKSkmdonE0qfMnAzTUwcuvJm45BQR1CDEXaaGn8A6xb2gSO9Irg
JJ86YMd2NujqkQmTJtHy9+KRZZ4bEhVltrd0wWmR36xt8Nae4mlk5jy/c+RpMT5gnCgkNhOahzRn
6ENDbJBh5zg4dWxFUvzYx2J5yR0cP+cb13xg3iFWRTmiMvHO5dR8wGdXqh7mx/igZ65GMsNau/5u
MQi2j+NB0L9fptyeJ0jCThhIF0FOFw21Fio0tlVh1nQsM6n+wWlVsyMvJi6nIAo8+B6uhSCoUyCI
odZQ4gHXeRppFmXbTkFonaSMdbUgDfu3KwYTlAGWP1F7ghtsZSFZ88H2aWqfXvChh8IUkXSlD+/G
okFGEoU6jpLeCuuWlx6xjtNTj4kBDebRE7t2KXqBdaot8bwR65IfJwwOB2hTnE7QdT3fpQiLdRpo
9OIQNN7MCj6rkPUzbN8c5UJOpaURVL2m+ihGjmUxSZeknZPMndItCoIAk7xfRbTlHz7AHnjs4kbT
bhnlhx+q6Jc7Hz96cW8/ki5yN1SQOUn/Bmh/VRnCjYYjUqSgHUHo01mYuZhcsidpRmbQzyOdoapI
laOQNTrUy+N5JtDv3mv27vWsb7RYb3RSLVUcjNgTksFXQjqHAhAo/4JUng6Q8QHwMWfKtQy1Nl6W
GR8d7Oy4Aqi440BhUnnudu+JNHU/C5+uNWipm2Z6Q8vkXegRqfI2bgUXDYvUJvcR0yB//dp3CgCl
aVjAKDyJrL1ets929dHyWh/gz5dwOMAN3FAcCjbEpY1kQfEA/qx7R6Zf2VDLb+xUT2cdFWpHNOdX
qECOuCHfVEVus9+nugQKclA6uXxpchikN1lcw+bXFf+Wz7/+WU/uJWkDnZyGrztcCrSk8sGA1/Mo
+HyDJ7Z2qLy2cq5nMETXZK9486Rw9iQwPOO04qku2G2doMGTvrP9NcRFWmG8+rkojzgKBBdsUQOQ
quySfEa8LYxZW84zojKXiodrEybIq7ovf+Pl3pVg6MSpRVbpW2kzm1RZVLGvyxWRhIPkgqwsVV/f
3sfKp//YD5Fm3a7nj68AhHIqocmbETsx9WHXUq2feIICjzri0ux0epvyhik/+YNVmutFzuiRX1dK
2y/Wx7gUHGTPDx8f75bkshvpWYnRtBGRXi+6mtSH0hHGul+aD8Few5FRlkhEIosq46wCCXUBN1v7
Nz0NonPdGYEQyGGLSPinUij/RIG1IruwwFYg6wHZf/+ugu2Qgy3Gi/NTt9t98p0PAWngJfoB/lXF
XkwXIWQ/A+66pMUDXcY/2Ds6X8qgBPml+cpLQL5MCloagBNgbzsDvfq9F/nWF+91uS+3uAa6arU+
U93QvdiFzn7FcDXGTN311felDGOVNc6C1ByhQeKB26w7OPN+/kq/YURmjnhYsapNSVwKn78oOLXJ
7laA5DWTw62lwz4gOodAZhSHcqPjVludZkrkxXTLUe0aR6aEgg8iTYgzS9/v9+3bjwuROuyALQ6i
2g2uXiDp9igNV0xfPwslEkmWD2ECCBtJ2ZvWjocvFd++bQdJLcbB4JWqrxF8DeYzR33iN3kCjstp
VeCLf9I6XVWTt8CWpuMkG5kUkP8yOF+b5ThrwOVniOcZQYXHGRsS5UfvDbZbxuX1+Oo03Is0TdA2
D//ITWMzL5oOQKhzKcD91lBsfqOqBvohtnImdVh2oDHe7JL2mxQ+lp5DgQ2WR3Lz6enJsAZRaVTT
3Q/yvhEVPnMUtlVWiFsL4fNx4/eqtCLI6Ch7WECp4VHr+x2jLpzCGdbectEbIpVDWyzasyLNS71A
aqsGqDDRIRJNqU5tlrxsOxT2Del0b/ULNTiZcofAbg0vhpJhEK/OLE4nGaE5oGQ/nsf/VXrCIiGt
oBUfKpTMZO+xDN7q7KqcBJLjUgckqG0yDOlDUxIL+eMrpvWstFXTVb8IES1SRVh7nbQFZ0VRU/4A
kls9YGb23wpzgCuHn+F6PZVrtp3Iu53pbdIccuWdKW1GcZSUxcAuGsZDMJCWjmOE1k5KpHZHCb+L
jQ6RaTSpCwwgouKHA5VWX2mQ3yz8Xd9o5uf+Y/vTg71Zri8vnCANhHa7d4ONlJgCgHcK+1AmSFmO
u3rKSyE1z1hdPO6+Pd1NuvEQ5PPoQ8enkeoCiwepDM6v5e9CAePGUU2MKnzvTXz/i2d0panfv7G8
g3TKxTDDeAC7litchW8zedQ+BJvPIdm8/iEKuW98QFF0Gl2UgsqGJ01Pnif+GnoTLfRxIFWRDx5A
BLXC86UgNQKkxMNyuiUHKv/o9q9rl1/QAOfOiVzjbl/ZWL+cqOxvdtDLL+NRmpfeYLufKwoDiRPy
g7btZKoR4NRjvNAZ4HLL8sPqub7wq+Qw1RgqdsPxlNCMORm+ilmZsLXxL/gIFzzs5PEOL8yABE4l
XP79Ti4hPBf/NrPoMHCHG44/L2gDV+8HbjjkEfrnhABctqt9A7fYlMzfia2BITQXbrAMTxFeQF+D
GOkiewhRlbJVtz9ROo7Z5KTDkhWt7lF0xH4aokK1kyg4fxOFkvIGIfTW6D426ZbRew2zjGHsEghl
kY7M4scrxWky2UBhDxOo7OzYguGdaUyllzuXsYaJhDFFgSxU+7GXiHR7B1q4z+UxryJzmqDij9+Q
26XuJdrqmoPCtQPaMYw+gaBI4V3I2VdF8vs4xPy/ZutV92BZFmVLl3o1ZbbxvRgPyrjfD+uz3Uh4
gO+VkXi6Z49tetQ+rpKj8R/06LY8GEahrdqtdK+N2ow08fPfVfNHVxUiPvSO+0XUDSPXuVWdypsz
F3QmhWTsgCTexFR1ZaRmR819esMMPCu5In3dPIBpD+1AzqwpqyWgol/X1EwnVvny+lc/D2ba5lTP
flbAVeEIceKQjkgipgwu/WusVvFybxq8F8wZO4n+XfHYS7vPT7jPWuijuv8IobpJ+PvVFS8y9GoG
gX3GztcIUPsX3IOHY9xMtnYTS0oKkT6B9N2/gb+WfLXGVBLcommZ0fBHhMcqB+euAmfSm0rh+I8A
qZutnqGOuncKuq+vytBjeslKRioGbKcoxvAohe4mgSUFOf2RTmmKfnaLLDva3rB0hRRF2hc77jM4
w0mNC0d/r9NGVKRwQeM0muzM6sz3ZvO2KR0NFhujAlslgmwGDFUKILHGRLlQW3bcVOy5E3TaqOPl
ELu7V5pJqaSFh6DnFzmZ492Lyb/AjV3+jGDJZAoeKCGKeFlIUS5JB51jHjD5em6i9NFT7rl1EVvf
lGoZ/Xt32lY/P4ybRqrzVxhkUA/eWw3hjECfmiYrO2SlPqDTD1q69XDBkU549Dw7BoEkFnKplVDX
ymlp3zNAThCjrXuxCRkcO0hg8PE6pNrnLEaSvC2MEUSDRj4w2x96EAB04reXlDR7MVj6AdEl6b40
/7J81lEclALNdZEgrnY48Eo2Ku4jzU9DNKrDn2xARbOCM3ixNg+0twVhZj/OUoWti5QyaqrXwqMe
YhUB26AI14aogdnps/Cn/Vi4T3dqYP/AdHctTcULJPolCMtB03hm57Mq5SVsKKxgFL/9rR8yeFPe
ttt2Eu9SxFOI7fQZnls9padMSOPl8ZeHhlOrk1eGlEnPpwtkKEZfH0JBThEulTi6Cd6JOwNRoGpG
vowXdrmmvG3Hdr7X6MHGy3JX/dz4zNR6LtDCZH7LAJwueH4BUTuzxvH2f6KHU9R2qwRRH/7I4fY8
WGfjbIqTereLaXVzb0QUTaDm+b7YeqMmt30lr9xCvUBy8OA9S8bH1E1jYltEGxetXfsrrjpRitzb
Q1UOgJPu4xh6VJtTHeTPN5uD4qV6bmnBct9Hvk63wVRMYRFSgz+/k3vT/VF0uB6T63HxvpEA9V2m
6N2aPLsFfIAWr5GsVJFcvFcRw2SzmPl2TPd/zE74VHzpJf8ibNoqlk6S3gD0vQqCqHuRs3kHAbAk
x1g6mWZgn5eDWbSknxequuymXa7h/pyfNxsaZhuDfIMnCO6+CTgw4HRr2TogRuuGMUEtLUFHRKVc
Oy6+7OXLZEPvKyVCBAUvBRnVSWfPix3HS0LY9rRUhUAMr1Nsmv5C5tRzNqv9V1PUVharFgCsNyvI
Ytkpm+dbGr5F+cSbVtge4nk/85z7vDG0l9hznPVbaGji9/qYCAr9ef8qsPoEmP0s1yJFyCCZ0J4a
KKlpHZIGgPoiaVzzaRYlpQF85NHbZZZ7PLgSWmb6CGIF8YIimkBvwSMlh8HyEcbsUZDl9V/0ae4W
dIVn8ZXiaXl8UBp9dO2j4d1h4zQbj1iWQi0sbMUzcN7iEp6xk3ru3huyoe0Eh384rf0NSbAflLGh
kifD3fxgbv70DRMHceYZLLQqdzh8x5lqcn918JU7YJPHqDGJakIwCO+eiDKzakSn2sza8mNhYOxF
AGeNfJlMKryY4flewVoWNhswtlWs0yZ503qvNgHpju5iu1qabV52NHFz3QoBF7cuDuiVUkCzNxpL
S4xoG1OcLCEn8daE7tDioYwzVWZeyLHHQ0o82w4lNXeGiK5CHkdMl1p+PAdEDc0M4hyat5Ih7r4O
SEwQCzvW7Op/K00BIW1eLx/9D7ZrMJEth7ApC9jXWTyBFGc47XnrmkNldYnr3TV/9ml3CT/hf1DD
frEW4H0SLHejf7OUGptDp4HtAZdsspD+4TJSkC1rF5Q498hRC6hnCcwUszGJOvbJkZUCN6eno7cj
FzCoa3RTE07BN/8xetG/BTHtm0bg8n56JnlBZ/eusy9Ix+Z62e9IMJMZIUBkGYauNLn06EF8ha0X
1NYJU5vC1rWPDjIFkMjVtYqRJNol8TeSr3l1wy/PagL7hnJ1eUAZf5Hd6vRSAvYppr1mWRD8TUVH
wUOC3ZyyOFULPzF/Kv1nRuhvX2JX/8aMwZuW7qTcAAjigPlFKTCJJPAwl3czB0vjLyjP4P2+Fbt4
vr97OodfApAG9Xsrq/vS1WnrTxg6NLrEZQlZOUMiGZhpB1WhGONorTp0ppKAvc6fOjWhY6uypGLA
WGK9GA4+HJfsnUeoGjz+SzhG0JRrZbDKSKNYr9xMmN94ytSZvux9BvEBPw+M4LSQxZtU7T3/s/8C
KzgGXnZ2KZf94weL0NwCMMyKn/QP/uTsp33FMDCLG6QNtmSLXwEmra7C2KdjNHNd1oMUU7PU15dh
0yDlgfk63Oi2VxXCAAGKs7GWzd/lnsIo2b9WKBQzQDQHgnN+YoULTCoBTzvk2c72hbELauQU3ok+
a4uHl/InYXgxQU5rZ9AeV3y6rCrAH1hntTXxR3x6Gx+XOwx0yRcI1rgEDlJsRMcpt7G768+q70H3
HJfD994mhJhBpoAvbmOZxcXLzutdG0jfqMtI2Eg5YLi6ExtOlr/4LcvPFBdEJyCl/EjdlhpwGmgz
MZYwsgdsmV5G5pnNHWCuZ6/upidcJqxZlyhceEBEjdi0jX5Ko142o6bNOI2a0+iBNSQ/ZUSYT0M5
gtuMIgzqBdZO/SHSX/uYfYUnZbTxFjmJQH+MF/H1zvQ61WZmuMIhz+k7HkN7z9ArNfYqc7DfVTYP
i1BTIQZr5KOHO663xMc3PL2UpgiOJ7t+G9YcEU4lLIOWo9vEhNy+jtGB4wWz2zmUHq18jbVGJ1ta
rd3lMENqqw+oWPZMpssN1beE5JCBzE73tV4xnqtBw3SK25k1wFXNHV/mTSrVKxRpwfLEkR/DHliw
VeOq1zGfo0VDr6QD+0+YmOl2JMWs4vBVsVMIdJzQab12QK655lzcetqZgopm96L8RohwjIGgKqLx
zHu3HEW8BbVa0hYDjwxLH4+Gkyai/aMrVGdSZdxd5NT0RCK7NwymzPNcMfWac3OMfHBUFhUKSCJL
b1lkh6EX5+HvjKuplFSrLfRENIyVHWoPnf9K/V1a1iifUjexnwnz7xSerhknSI9S0WbhVWJJwSQP
++17E7xbc3v/YQrXKkSdf2MJpV93+/PsO6S6bJPB1EjYY3hOuvcmWaaUG5MZqzbDj7FUQH2GhcRI
xDNRYrNvpDD7ykGRP+NGlAXDsbcK891Cnnv0VqAi0C5DFERLM+e0TTZjI2JExe8/W2bGqHRNAVju
tlaxLYTySngDj8mK2fUPUGfeCqmaswAlVRMSNm6BXXvWj6rr5/Iu7ObCn7W/+isDfJo+gE4gvMI3
R1ISFO6bbfx+djKSODTFH1aZEevk05eSrZctQtt/SG7U7Ao6qUjDdZH+pLV21YldiDZGWFvHDtYn
giFbC3Zah2EYfQxdpjzSas4c0Hllk8B8380BvsW2mKYrvIiOaffZivKdvjM/2EAT72F+epBdXMND
L44lfhU1Yk5ezhCAdoo7L2sZbgXPmVJXAxxZ51To6jzt69Jlevyp2aR3c/WqOMF3TCwUGkZ3DnPe
g+NHJoMOiTmIjXXrtWgYURXzfBjSOK1AoI9ja1dxmY6EOAz/2zblqvbUur3xPjy0HmzYVUL4U0gH
esJS9+pKuSnpBLi73X3Ansl9vpX+soWzmJ4LRjVlKunSkt3W+kri0Wc5yHjPmMqwE7SpNm4l0ZUO
CQCDz+vqhEqsaMP10/Hd38WaLEy//55qKTdcovZO5hP4m+PI2qXkECQ/XdFCQXe/dZCeU5r16mDF
rAE3KNe03kPu1vsEPH2vQwQAl4GV0DI/GfGapsmr19haEpveoJUwW490kWV89qTgF4gPH8V3Beqq
jYb2cEnr6AH/kqA0TjP3H43OrvrAomnu5IkBasCJ51j7i+7xuMkznIysXahZJdesRBRg4TIpwih7
7Z/uV8QUM7cn1S6gr5mWS6607yF56jhofzg8/zJbjXwWFFlY91aFNXrRqQFp8wNyz2WyfZV9ZqKb
xjtv3I5ySuu/Basjue9s5m2DHlG2PCTuwqI5EZ5zJIq7xoYkrvIh9VB5IFo6IP5xZIVy561QUSSe
gkf3C9uY5/Q8VT61ZRsUOfNc8/LXkSo2qD8yIerE1DS4Ay4/UpAbNqnmgzsxKfo01V9nnIWOUKXY
uUxSjqyRKEdbNqn58Uci4UUiCm6aJ/XUYcV6RtGueLrN0ajTXnizVWKk1vJOKNR1HeiAc4+513KJ
57Nd7dawMPWuRiPpP/g4IVgdqd7JN6nvIpCpkF96uI75yo+GEJziUunILosGndAIchCgcRIpqqpc
gpPBFHrro9UXdmsIzSEIsS5fx6k0qszRn7Hdmh5afoksPneNWHcdG9uL3HTTE4fZYfLZ0sQutAXc
7e1tMapL29mIboFjSajskiDtKMmCrHv2lZE6Dhxe8CTu2Xx8HtpsDn/jL+hYvGHXgY9khOv0YeGr
R9TgeZrKxHy5YFSPVrEJIHmYkhpsQc1IHzdgiDkH4JqubUURP5xlVaN3pzxr8k/HUfsp2F7MAIW2
BP6mil0d292GByO/l5wwieqPiJyPTGpf/7IV/1qJzUTba26uDvOXtZnT56UEXhn00xdbJnsWhuTf
t9a8dF0hCzsRwhZmOKN12kdc7fbUOnYXgGoAnyTXHyuor7vfWh6fNb8G2AunbUi/0UKw+FZ4emNm
cHY5uTDO6sBMduJFYfgozfseEeVTCj6hFDQzxNjEWfi56kOjSRfXXmnleX1OTDTSAMLkRxNpEB0v
7O7gP4Gs0iMuaBVm+zt4wT7mgbHc9f2efnIQkKrmuxvaVd3w4/GPHGh9lbNimJXIcXEv7ymOF3Vp
Ckw1JTIsIXPepT5EjT//gEQq7+cNFd9V/G447Zmr2RqpeM7dPGKlZpThlTMBYQUO+SbQW7Xjpg9F
7qoNO6oORszyOOPGuwfQdQ90jpOJchMZOWcIRA1feetvtHEPJyI+BqGAmWdO4TYqU3KrhcMEYXNZ
3GMhcbRjtGb7QUquPGJp69pESf7NPaK+O9fw37KzrROVMYkQzXrf46m3VZYVNb4kuAHls6DQ6U6/
sOe+bBbxXNelr1XNMC8imokDkwL5eXENuANIlZhO4UHkZN4e6jNXIysi8ROeGQkb2JT60N9TmAm+
0F+Sq8zj0VeVTszsLupglIeedaWqO42Ttry8Lsiy4WiFehICHECfirWCmguQwumD35UN8/Lx+HCj
zszXpeHM9XFuaMn658VbYeSrY6x2Je+MrB+XW1Sc+p24T5zz18vhxNDXogZ9rOMIuCFpWf3w4RzL
vG+eytBHsfG8uAwKkUZczhspvsrfoPRLfMUB0V//BMD8tiCb0pHi07AYpbwxIMQfTpj1FvmN1S0v
AjuhfOVg6UyS3KieHALTjEAKuR4AdgLBO6ImRtEcnTKKryADcY8Kbp1Vrls55Q9w3liLj8RA+kAc
f7SPdl5OAVsB5NN+FbPjabXpKtJFn/7OBYuJ9nSwEe49COYfZC0AWBJsj3/MIk++r9CsvY9vrVOr
aaiAqGlqPLh71wwoVD4VFtN8kiDF7DyjLxM0N1ezm9HTlp6FR5NQ4tHyrdYK0iJ/8zVTxvLIh9fA
KwPijPrjAvzK4wh7SykanvQgWiZDlesG9xAT5KJA+w3RttAOFV6KOf0idh07j03xjnUCTHlVDMNH
gYC7EzsGTnrfQg1S45UxmNvQ+4tlx68wAWOq2fOFoiBYh6gv4Syq4rV16teGmMwUMOkIqiS7qcrH
8ijy00X+FSwrSXxgqk5jFmf8a4b3y4yTsNls/LXij/Sr+FH9qD265KCHDpoyjEj+LoSiC8eQ0Sj6
PGjScxp9YJVilca+qeJIcuS90vA/6ld02M8qKUU4m3rFQqmWo5NHq9fB9h/Q0AKwWJZ11V3VComF
HmE7tSLOJHZp89H3WYtnHkwtSofJ3iAey/32e6G7ZEPSpRtAurgQaQqacGtj5Q/52/Zy/zbbqUzU
wFb453rgQZNaUY2Leu6WOJBGslY3MZ7+FnGo+F2l3vX/HXxwfQEDQO9yIVcLm+LQTQcfvBEOfPLt
lgXX82HmaI+6011AFjIggcwqi1cDEAjulFY0TJD6IOojgvJKh/6rpcX3g97iD31P2WF60wt3aGg/
SAP4ezpqw8oAb3VAndvnRQbndHvQSJ38q1xUxLgB7cHbqN3+YL7PFwW7oorhpo7ZNoAI5gp+Z+bG
KItR8eEPfv0HBlZAAhBl5rrQpcEbdWWwJ+hsPMQTEqlwIxRyOfUgHkv0Fd2WMUs8KFGb27/ty3BG
lvLqW+z/46gSgyqL/e+DVlTbUktN7RGHt/xb2CEceAy4r1QZHw8uycdDYII/jx1CWAXHdP1U3wj7
bRxtNduH7xJDJegcZXMlPXQGGFpCrTFerHS7r9fs6kpIOWr+uQszRqZYQXD7CMeScCPcZUT4qF7c
2900TqYnFeJlMbPttxELRJArrR+xOGpXdU+j69Dj7/tDUvyzfkbFcmOvWQgu2rLwMkN8Fk3WOIh/
vh3ch33kw12BHYHaeH8jSFX1qvtk+Zw4bsyC1+6PnviResLbQNMMhTTRIxJUKIh3Z1pAX9vVe6ja
CTgm87eIxJTlzbidFyvted1NYEkP9daImTESpAfflnx2ys57+EOpVJx6M+Ic23VOJeSIiA4nYxjt
mrwVxO7bVWdNX6Zhty/rrLp/wLrXD898yN4lZ4tcopkxyta8KgqYsVkwMFxAgbDjQ9OZyrAMRWSi
KPOoxd+3WbtE9KutSs5TQs4BNgoIyCSk+ejlqEMvk4Buq9iAwFqfcbGU4+3gMBWT22Jr6VWK51IQ
6iwdaE0zOGoEvihxFuzwytmh04IPMjDEbMTeAImpDkoLIsfGQMIH3/ZvN7OnbEa/yDjRHPVuQ6OP
eQR10v+eXPRvr6oqfwPRpkRpaLvLtqQaur35cJVXyFxib/WoTGuB/PDuqqEA/D2/eUjjETNCSJaR
H+eHDpExv0G+bqTM2nT5AL5YjrBzeUl7qnuxCjtP31qW291T4txIqCzyQwQP1iDAAJU3cPJ/wfJX
bWnwwzrHltcjARCYInEbrwGLwx58m4AyUQ0yYW6g6pdkawe2/gPxu7ilJKI9HKVWjroFMp/UcW4+
mR1E7mhzwe6UNisxzPv2Oz+GNsAJi6jZ8ds0epusFaMdZ8QqP3EHB0cundB0WlvCTUTyDBHC9zbN
16bPvKSA8X8fSavr5VX3swnRz/QZo5sF59fXZdZqEmf2jU2JVoLJDf+WrmmPzELoupnSTIznu5lW
LKLXqg/6gO2eQJ22P2xz5oPK8U7KFyFo5SIITwPJ04l/IXqSGRWrsZgPADhsqD7XchCVIo67KdoH
4IUVsHiABJZwC69/x3QCS238lwaOTObk7DSerD6gywyRFipJEps9fiZMmR3KFu5fhuak1ebCyfVW
APBdi64c1DyJsG46uEz31nPDHJLjWmLZ67QjUdrawKVQWfDbuqYRllJXZWKAJG7z9we34Ui81KY4
9VoqchMzbPTj/HOmtvc/3AdrjrdWsqF4AaRvRJKQSn3c6CYU3AIuiq325LZJZO3NZLDHFUtxXCUm
ICNoJE1RMgT8N9JnkTQ96Adah/sOY74rpPzdS3ckACEoYz3LY3S4UTnjKFqJ8xU2dAfkrvl4Usv0
M8XsxqWyxeYicT4vBxvA1Wz4wz/1Yl/FQ6zvMi+IOPl5Hc1C8q3UPZ/CYX8FItXp1ffAyv29pYCl
iOfeypaHf6utpOxJXPP7D0RV2wN4R8jQTf1qixWgujsLFS+LrfxqSyS+Yt+gem48Z2ryUuav/T3V
QFwfRvzXLg5aWBOFZjjpKeFdyU5+9+RKhNdsz7ozQwti5JCQP+qV4AB1yz9Bna7NAOxdOq3Hr/fg
nFIxT2plRhh/RSCoc/C6I66gliu2Q44QQp/9tp74oGpX687aUcD/ZGjFf5ewB/yt/ZMfn0efHsPP
DEkr0dHhrjkePfdqPBsTcYeEn7eJ0qYRHxGEdFpmYAXy9MUWo9pqJGML+JO13EQUV5keA+Fumrdz
1e/NGOoPcHYktHnrmeKxWgaNy9o+Y2I0OvCreOurLBB5m6PtqhiIS1yJ6ABEyBM+Yq43cxCmo8Eh
HEYdnpQVWy017H+Wkwh2vshyHof5XytMPrKJs339fA9qcO5LBglduMBMRX3DF51ign2Aqo6685mo
xauQBd5Tazr9Gh74bGEV5WVyranzrq2nswfgiLZhZBp5CTxKMxQwgBUYIoXxVP+2iZzD6ojxthow
TSr5cuO0CItVFKUAgXaW56g/H7ZpDy1uhQTdhdpnuuNxOCJs0cm47trq31oxhZweCeoyXUar/Czb
kCNcj086VM/qUcO4bcfeSBPvw5zajEbsPqNtCXOIg1FxMCgSN47fwNCC3xVIH7sjOVrlaLmxmvxk
5NW6JHVCMkfeyi0+2g6lmtVvOrhyDW/6ZCsKzb1yOnw72iIqX9Hq0xufrjeTgyU5EKjw/vUhOeTn
a4ScHlmExE9LwApq8KxDU/BJFr+FCUFJpA7BFwyC0xS5Beq4CE08qERrK2s/TFy+JM8qSZ/TaEBO
ux+q/oEk52R2dXWiGVJXIvETrxIF4IojQEaUXLwB2yg4Rt5aGAljDnK2C2NYgoADmhsrJm6PdNJF
yt6qJ5H3OZC6GKOiyI2n2KVFNoOnLiuSVkwJ0g6u+I5qT4vdsHUaW/4tf+Lh9z8KwkWzgsa+iFOr
Pjm6OoXm70p52N2sB1I+aRZR/JwydIGhnYkalOXEv0w8kzUJq86n2AQV+a4HObT8JgtVc5CK7nwm
biRnOooYETg9VE1JOuABMwRZKCyBQlagw5ZM6wCnvXaPEsTdocgzLrqzzrZOhvppQvPNgVScxeQb
udOEf96xYx80DfJC/gFLQcudOXgBC3YulaHj1sNbkRAcWn0ZDadH9FbvDgWPJClOEnGrParL1n/q
8CSw5JzxLKkLecHmPreRMfyReLoSbNRGxLfcnMNjhCManV64rpwrckPp4puHGPErnc+HXhFDuAZR
ltD/p/ObXaC9clorciWuGZobL8g/VUvWEjBariGKcU6ZIf3KL5Mj8M+mlf+bYuVGG6xuP6YA+UwP
vF0dW2YZBr0IgTm2YYiVwV18ZNMP2RwgYuXWt+l8L2Nydvw/TFOlyOu1uLXy8eOxDNI0ZgCogV1y
fVr/d4/K3zjOFypBJ1X4q3Hij1JSUkFo9JP5rJonVsMpinF9tJykPOuNptqRc3J7gt2H9XzrCgeq
iZmtd5R3dinBjQypni/EbF6Tfl9K2SPgfon/kkPRXwEGQxhcrnGlAfhNCuyxDj/8XhrgjcJJJEni
WRyUkpTd6FS1LiJYsHqC9dBhIprIwEJYiUAeH3NiudbUtPvgs+OU0GAmaE8L5XSyAWGEAjbIbCcP
+LgbkgqOBcPnSYLNpVQ5fWs5Qa40pp5l/6xOOhBsG/3vURjpYpt+BWuUks9qmT/KQUpdnSQ4MfGG
sF5JU6rwvHhkC6UO+rPQvM9ypUBOKkqXmsGILoPTQk3oqjMb6MHVq+P4CmjlD4LC4Hh/v9C5Fhdq
tyl88QEi57MWJjHLyEoyySlRdnCzcSw9MY/M3DzZNB0ELUye+EbKkxq8O1qvtJCjGtrSAxjVvNeX
Ziwbvwp5fDscdFMy3i2epwxhVsEQa8xayw8JG8t2R8awUzC04mnP93UykcG8F+v6+oFAR/tA74Ny
hvClsQEhamKGsgk9h/ERQh0R9fQMrto+3E7+O4BWkfcSr2oJ7wgpxThrlOXeRPZaKlIydx+mT9hc
yYbIt5vjcgQCOWCBJEd/t3pU4M8v4jwkqm7rHLI2e3Kd0SEh5+aDtRRORFKzfDZryiyi38dKxOlq
5joePihBDCLSxaHaMkITBV7baXEKi9wtDBheSpGKbV6ZibNQPxaosOP6CzZKCQHZGEX0jMEIjUwh
D43bOFN+w6033l7XMq5BryeWQQgu3z5Ai99S9ISBuMCIuuhKzcDVhg5JqxiKky147xF9hdTDjf4E
P1y63YRlm8vT52qlckvQUY0pQrgBn2mb6T1GCy6yTrCY3civm0ft3Vm0u5PsUtHBAuHjL6tTp3YV
LCCLsBTlnPdfl6pqPMdH6D0LXX1weNaNC3Uyt78P3vz8yfPI7VpsHiZ8XbB2hmCFWA3W8D4+dtWd
vlcvL5FCn4uKrqgPA/9ihDMmqAc9ooj9nv/iMGTeebxnY7plJpWbqRD/K0ithB4wh1cKbkkSWX3D
C0LPqzHgGMQ42BQnDnU0LPr9xfsPGfyZRLiTmvUywY2VG0tt2RiuXNBY40T9MWA6sXOVAk2FmlNJ
fW0vXYA9ByCNn6ontVdyds8WOT+y7YktCSujypPSwZpm+IRL3TSXA6ANCMYUQzxy2ww6symSsvDS
HcUOtyKHYGVOBjeplAYWrY9TSILwBZytaJwxri9G+ZNOkxTc9KaMjnDH1lSwuiBoEc6DyDGkCJfF
muuQP4UiT889+RlCHwlPrsW5ccks+A+Fl2qg4yrjRr84DGG6jIFsmjbVShNMuh3SOZ3XHMc95hnP
96Nig+PuSey92Qwi8lbmBXK1GWB4jlOCxGL3uCuI0wk60yrRlAVMufpMjQCGSpsqd+qXSuDpQHld
4lYbxj5Hmqya9RwReXef/Ms3nh+CmV7LE6A9K4ECLu0Yh7jT6dXt2Zm9uW4vWLALxF+vqOy2X0oB
m6oVoYecQkv099GmybDurQAcuYOJ+DnunJ3ciPL9JZD/bOnVlWAfYfp2PZzERdaBoE91UsmrkmsT
tpwTayfrnOxW9RU3Ss5Lv05bWfkT/gxGuTME4qaneDZ1qytCFkSo8lRapDLJUIykrc04/gDRWT2n
OJ6+eyBul/Mc3/yIbcl9sI55nNDxg1ByoLI1z8ioWB5hPjNBMPP3eEsSxlUzust2qhByddtZdeVZ
BYtTP5GwbDZqVl/kGrQmUvFn9oU5z2Smeft93KNRn7DrjmbMljp4JZYzwbk7Pfv+z6bB7d38WiqH
g/0GrdE1MmZYXyQI8SXwJEOZ0lUkBco11QdRZMhz6/VBQ25auITHXrQy8yG4taL5JeEM+EgOiMMP
gbDN2LxW3LHUOTLzvdsysBAaYsfyaFi/x1TmlXaQLOcBGjSgM78nPKto6yC8XPZ4Gn9hLWIZqZFs
gHkFfF+QD6e2c+QQEEckgRUbAGjDm8UGHgEk+L0ALd8DeGU8e9p3sCW9VGSpkg6pMDJjFgnXFlDc
qrfzm34MYgIF2LTBV0NINzjGWWA3T3gi7hHY92s+2yePySrzihLqlzha0I/iC0n5X/1znbbOuxlN
qx5HYpfjlGJjcEYk+R4653aRb4/zQ83Zdx3RF4h2+kKrdxTdAridmWnjOQbwdiJti0Yr9jLRuZrk
lq5ptC5bhSOgg6xVDMuYUsukxa2louoxkDR6VEGd3u6INx4E+HKdnFpe4q0lOnYwzgmrL8ihuoX6
spnzXKUqxrMLGKA6ze+oZaI56DMUjHN8yBjIvNAhLx3M/naa30P3tNimBIE5iAsBykEpTbJyXyRy
E4FQVNCs8y7RllnPb1padDRJpNNLdy50+IJ/VhCQZeHDZ0727qqDbUEXgdhNKLYcg9PHSsK/SpU1
m3nv86d7KqHISz/T3WcwXn2SQCSREpuaaZJ9L+JbeeaThtmU5XNjRWfLkZzJGObbfxIN9NhADmm7
z6vQgQTEgnTcO5Qf1d4ajNZvkH8bWORoPZRlUqTrp5F0BaiolzkzX/DEgiYBT2qhcV/Q+4XRsejP
pWM+nrx5VXV9RA2x2jVjxp+3dLlDD3YeyoAvUzEM1DbcM/39gC2Mg0Ai4f6X4Uxu3M9MAh0RJRu9
8cJnNk6bbIfzHAObQPzsRx9cmDcOIlOOswJiX0ojplixR6Uz5jRkyRgG7ZZeIndTmQvzzgh0bepC
+8DLxkq/ied6L6QaL2bLg6x9AK3fyWt/D60jfPnvSqsywoPVmzWLmMkrvzvWoO4Hhgt5naAcMJgz
Hs95VD2DOjhmFHrfK4GM6Hde20oymMy/T49CTsXEoJg1Qg6CHG9wbH8YNYc3bj5DbiHjVs2Z9lhX
xObU0fR5gXjsx5FdKYZ06e48ay/zPnYDLv6UHzsqUj536Vr+oYqPaFcwMqdDWS6+ZgSBSN+WfBoC
Z0+GJdckbopajzoreA5Ho0OQbUqU/OMHx2+tYrTTH9YK+90TMDdjeGn2gXdeGv326HLYShxJEDon
vFFrg6LznmliAfdNr4am31y/U2IGefiRZJVSeeVbtFpUxj4RqvQ/Rn8zaxz44Hws6fn8KYgr+aPh
894WdD/hp3TZzyd5Z3htIJaIj7CT68Vg0wld37MM65kuSfJSjJsaZRx7KWpCyLK8GtXuTXr5bj4P
GeDbpboDvuamu6Z3dxOoseGH2q/jcTJNgLJXl3NUmOnrBA36PtUxKqfLZ/POhnoGmcsRVMVM2MQm
RZ5lT3tMW1Zfbclo8ffNMGLcU1QoNWQzHIcyVHyUKyNo4vI6slykyZxAkbKCnL/LcLsWNePFFEgy
DViUIGpgbYTiLvZKal04FG/FyhJLApij5YYZhvzlqxYtLScFDU+CegLHtcjr3FCtx9qsgo3rVWhV
J2EBL6LwnqgQ+ojQdjEdMTq5g3ABl5uUpOLo1QxoEz5rAa3yWC0P2WWe20UewzNHtcb0B+WQ1uKS
XVo1l9k/79kkoGNU4qsVcPZtXhWp7iUYFhu8VMVSzYr+PJTC2fmNYTyqXbcxcrMfjQcd2g1USZ96
IuKkMFHDHsS0DNiQyDnmrVouxGmirQao6tMplcnCjnsZeQ3Lt22FAHkd0jJzovyHprx5k7hInLVy
ypqIPKDPCzpJ+CaBMnPavuZs7wGtO0B+7MWoQswZ8CpagEF73GgDf0lfI9zLH67DJnV/yNHjPhlf
GAoh88rjCblpknxA2PX+33dOlZQH232mI7loen3b7DCPA19PCY1CmBsJLEiXr+JCLKfZ5I5kc1Mr
adWuxo+owoTYvG9Ml7dXj41bt2179ODoHn1dP6YDGMSaTtI0YxN6MZdAum5kUj4JeHRZ4pCeGUS/
HlcICnLxCudarAFn7nslaemK/Ubfjekngizq3MY3TfQO3PzCVKBWBwx2qMCMnUFUe8ISZ/CuenTe
CWuq0wNvZmAfgsF9RzYnoehvCp7mMy1gP43hJyuwCkSVaHdu8kEQth1EG8x/gKumYe6iYED1uuPM
+57fOVWFkW2e6Qaen7hnvy3GZdLshUzx8u4t3ojM2WtRTG72MMU5mzdPiBnfip3J6rNWUTzk8xoG
3qXZt/77Jb4cd6r77EFlnUyjYad0Cj0OUSODUTljaXHvj0Qabv64oBXYW4lcTPMSKwI0Xs0IsizD
qQx/amnsHSPxX6H9wW1q5hBht5i5S9CarkfizrTmMeMzp67au7qgDBh6wSB5PI5TLYTWnz9BLwc9
IynJ7/P/oIMs9uT/wWYtwQOTh2EDYkndkg2JbI+1eRNuNqFACVtGlwNL127f28nwEOK4bJIz6PyU
dwbs59lxWUWCVwRM8QNjyrj08VyyFwXkqzox/KIOJV5oyyhv/zSfyvSBy7PYFHZ/DmJ+MhrZAkgx
VetT1QqFUPtAG0dS0cwu4qTkhONj6wXu0plBxBeDFfIQwB/8HyDptPsPKL5wNcS5vBHQFngef0jP
KhZzeIduQEf+QDFVY2mC1c9HH/y0LgsTGpQC0310lbDfoJipW2F1ykpKvww8dIKymuY4xQpgshm4
PPIk3ERmkjZj1OHyCO9AW4VzpXVWy4+SUOmLbxYMX0av0IpR+T5cIQBvw96UhQ7xkYhwNf56wvaX
5JMoBle0iQIGz1oCFsceR9fphg6L9gnO9kp4F+HdfyHsCFlbSHydMIAKwk1dSNhZ50cLt556BmXW
WzHBhdSbu4+afG9vOB83vLU5bRofr7G4Y6llLwFOLH9B0/Ca4etqd2C+oo1ktwooTlJcuAIyaURL
7B7irsM2wvAkQnsi/bXoutN0EtO6jKE80XftC6N7iKEOj56oeIsu8ecI5KFHNL3KL518g6/yTYIh
V05XAucxrO04zhjUkGw6WlNGJzP2pKjDUtYf4RKeI1R+r7jaICRGnWh36doNyKNtxMQa18ND/oEm
CQ1RMdta6C2Wmf9rezAcE6OAxwR9IFIhiVcQI3mouizOFqZpmi+BgcZHFH2jBiLYX4qsneIn2/KI
GNaZYGLs4HAekz6nDy2YY+dq9sSaH6VMfOdbDOS0gWJAjULOeXfPC9gwUOsogpalFH4pKL/QpkVP
BsAcR1VZkQNsUhOlyahupdve7/kyGTd+3cU4xsxX3SA1/ekwUGmPiIAa7sR3RqtiyqH04dDvQ70W
apWvit2CtpkNSPpfMbqG4EhaSS/O8G0v6pDzS3ZZyXawnOzWEZ/zkRBBiIZ2BFBjItQcEGNWGNRU
R8r7xiKk1v75JDUGgCroOxsfgXZ/tstQKlP40W2k4+y+J60nPPtFdoxVjRjk3ZZagTd5CIiC3TD6
Wi8XaPI6JEbc9hLavvkHjrH1Rm+kr9BAb45K4ZrpJlRLvA00f2MUTTzOZ/dc8sZB0RJ8cq5m49VE
mHb63+Eq3srVZAzfOqQC5kDTs8P3Hf3j/L1/kXJiyyOiPqr8f1yuNdbtYmU3IqipYd7Nog1Kt/xt
pZn5JK0UoUC5sDOel4WuwMA3taO0Q7hgKSXBfXzp0W4Gm7+CU4BKY1Ddpcxwk/tliTtBMy73Qrkn
p+0ybSE9s0+HQZ9a3GLj/FAdNIOWFZi0ntPq7pWiIYx3AorRiZ2lwSg8SWloqvioSI5Qr8BINkwd
b5Zn3naE0vqy99ogdIPy6RoU1njAtUbIDIvMMsGLMZwLMZja7AxX2Eo57mFmWGN12L1qV1+2f8Kj
NgG7IniXZN4MEYsWQy9s12+dmhD2h7lpSZ4zsp+FiSw+zqX7y5TtAYOpQD+chwUD8kWJGrAhbYJ4
E+1ajJpIlEnxXzvHuIzVPMTdIpsyjac21QQUI39jA+e2BiguB/oL/xe0W+3XM+nqEWEyelGpet70
vkaw/SHf+751yUm6gck89gtCT9PJQ/sajaZkmZjRnWDZGyK8MJ2WyNbFDEjzfb2OO94BjpoRJt1w
5QKQnOK+XXEsrI1a0MSEOxx8+DLqp+KqPiWwhPScQYxVAR6Ezur7o3dED2K1dsWDWCRqeiY1qqLb
azM65lvebw/AWI5ancnYazY6CUk9iRGoo6NmsLOL0hg3bpKgI+bni6Tybe6JmjSX/GuDgdgWD9AN
7ijSjstRE4qUlW0nIYYJjDUd6He+UImkRz0RucSKPRvLXf1o1woc+dlZo+UOLbQRMudpiRAa/f/N
nF1sYxKoT39OTiFYalvmQQRxe3DNcsUFGgHCE4vEJZ6PpjKTy6slNzPKW0MdiIlF5giqHBXulsfL
1hqPWn8OPGUXkfZmaPQxKDHsWCcwJJ/mO+Y+n9Sj9GNTJoAssjRUOhPSWHUkvP7HEy7pmbp0VXp3
ANpjUpZeYk4AtiFy8ncywME7eftsNYhtAU3w+8wOCDaOjEPSWH9zOWFz0fhCT5WCTc7KRARMMvQV
zHpfmPWGNB1rvw+aWlY2xCpjTv4YBp0JjSO4z6lPyatl2wVVjkolLqB0wDVmvziIKfGAjUQ0nDPl
+u0DkPVmJs10j9BhIF96/pguqAINryReYXDvcPnnWv/Fcw0rdlOVfNYH27mwZ1ROLETz+ur84Pvw
SkkVfrNeu7HanxUD1R78mqxk+nOkQ+8tUKEuC+ro20gANoIXX8+UqmF0WOGlBVsILMW2a0piGomB
YPU+OROjttiDhZmpbBZnEbK/ukTt7MBQAPdUuX/UwFER4PagyLv7bqxBMdZZVo+wO4dV/UKsszM/
AIC0LQHZ/5BX+ZSBnn0Q9IG8tRDAJwND86YD6cLnPzWQ8kaNqkX67fn+b+QJyQ8y4kR2u4l3y97P
Mo8tr2Rqx02Vo6Tr7Pu5+xIz/vqC4Kxun9fCFOi6b5yz3/zV4wrymknXtOQX9yjCR8LCSDqY+7gT
+M6Dl9ZobS3N8bKeP16w6fWHFLPZsIKGBQZ59BMyT4ZGon3lcHcySuT2YMp8blaxTnp/YZrlXAzm
tJ0bUavw+blCp+aYdJ8H7wkke+PPvrAL8gGaarkaz8dRFzbBniEKPzSmAtmLpv8fEjVd3hOfmLEV
awPVG9CYVo1JbEUb6lIB7c0FZO0fTGpsvW2TyNjAz5x2k4sAoCLvPJYLWeeMSckhWoUupuhsUUHG
2ZxXYuuhTIqGg3Ck0J+eK57rpDyRTfzZhSB4++GyqLGW4HaTPRXuK5/zqjUeELhLZmfjN0j0iszs
74o4A80qNln52kwazUWJDIiF5C3UH/KUb4llN2kg/bW2tI7SBfArLKnZJlZHygYjdyBIs1k6/B6q
cjgslFbQQ3mDMqED3kzmMY5KRTg/F0zrO/83lbL+VQidSAWDxeOmC33qddpIkW32HdtJEOC6PjBm
uEViOLYHRdiEenYDvA96Hy22X5D23DwrXsu9LreohedgeQiWLf4hQgUXl4Rz7iw/PIBIM4XkTHWS
eE6ltsKPDhWLlAL8jUoE+i1UaNJ1PFTaSUuSeLU4hKHxmYsodV2CBJxhH63W6Lo8iZXkxIyifATI
GVoWj9QoOsOs7zBDjPdzela+PTViiwEhIPDc5F0ea24V2c/C23z7uEdI3r2dHZaKBFNVc0bShqss
i1i2tMcqxEgp4drrjjhFJgaS8fbB23NiIeg2oOSxeCfG9+Albx7EUBO8hw40SoinlypAyxO4k/+X
ZW96FyTBUOGIDte4Flinm+dnFEnd4tbA7fKm2qL2k228xvpwVr2OwcVPAovihRVufP0PTdjjUqD4
3gPEOl3hFfgXK0e+MQO1Udr3l+i3C3COQQJqnJye4O4tVvTAdgurS783WVIfMfRB3BF1yUWJSYQw
dinfBiel3dzQYZycg3bQmU7q4aHxrUuGFsh8Yik0HL2ABwcrRGByvSIowDX+a0sqEt5NUROTUyL/
dVExhueSqbTbr3tr7DuIYFnf4uissOME6VLvhQxFYWmC0kvKZe1RueE5T67e8W6HSOQGcvkHsGo6
s0S2+zm65XO2Q8RybLKjowTAlkmxRBmZN9UL8bmCAM/rGGi+EZKZ/eT096V1yaR1Lgxck/E0i3Cv
jWnoRPYNKv//LXG5q54FZOIYgo3nH2yL7v4gtc/ioU65BOms5P5JGo2McKxeS7ayMCka7RbPVedm
1k6DBKVz5g0NKNPJ0fVW6NBDM9cFziPhgSxHs6raWbs4CzqNmtV8OhsJ10Us+poxdglPQt9B6fFc
Z/LWl5X0S0Cpl+1VVF2ccgYorZW3+4imxnngzskBLvfh6+JngxPuIkaLhC2CtDfl+fX11JW3zZV8
uINpNK4bo1c11Ve/N/fkObaaAe1wnFfOmcTXHSXr7AWzHUwgBfDgh/ZnEs3jgPO43nNbe7FHeIcC
lswnz0Z2VEi0pxbOHfqTpA83oOaf0usFExvuKuiQh6vHNbZsO3/uL7b4sFVeHpIP2cunthSLuAqQ
clvRcPm6/eDcTl92q2PFIZlEGoUDUwrVzSCKIgAo6wTu80hj9vnGG16Y5GY7Si6qgSIP9qQOJd9e
0PJvlNptkZeeIhNlLjkZf34QSS0QkuO1KbCf0nrqaspwghlBXkl91N9OPQ5rDCSGW964h/jj7cyP
CvIom8OqJSOmNEOjil0QlCHgh1w9IuP/RC/PPbqB8BmhJLDro/nf78Cba45bWw//zsE8XdMzIqdL
gaemmZN8fLGv7DwIIOuYRNTXZk6J4YSLEvdxnAAiG/K7ir6uoCLl4FvMNQHRBhiYCfxLv3WLQ0Ih
q/4kH+bQYorqM+gNKyKIYPHTO50Tg2/0n9iYrRfe9Fr6shqGLDUpgNQPCgM4gflQwZPhYLXC76LY
kft6jDhnn52VkgZgUEQZ9LOhq0MHOUFneJPjG5N51AomOg2FjFRahPXrR0JWxC7wH0iPzuPr3edH
17gpXnbOJg8ovKTu9jvAwzAQuZ1bP1bf4TgfxcoQ9MQGFa2TFzY81Vc2Fre3XWHqAcOx5PFwk/YB
HthR0f2pJcAAbuCM6W9AryixD6taNqL1G9WdjEQt+aGUoxp8vLAysJNXJ7YoByTBeZJ7aja5uJUF
HvpMF/leUqRf1nOdOTqMEY50X6h3r23jy4FUvW1bcQ5H2jIRiHmuRXUzrkjGOP7GFmAuOv4W6/G7
B5D9Km3qNkrY1fqqMcljxUPW1kSFHjhASWhzE05kEk0gBx3b/uf1ntYUClZROpC00/5IbZKmleIA
el2WBLVKQb22KJsThYg9zkzmrTcwBe/lv6mAFVSR9obIc+Ud0sYxBKGug00UdAB5bXAqU6NPrMB+
O37HeRaCDQCnMsvWGKzrLDJ+1dITE/wNHLW5+MG9OtdHr1CjOv+VJdqrO7OighDd8G7dt0svMRv7
AGkJRQaRO7Fl93AGcP6ceDV3HM2rnldAcBAcf5+3haSa8CtXrnBXDJq/64Z4QROzNaoZ0LjsNmbe
CT5VAjNXvKcOef7X3A1z3JKJb2+B9Fe5NCzyueBgxSHnsuHe3njt+X9XVF0JpWygEEx/eJNff8CG
3hUYtehFCaPSEI/eOOziuzhoLvFbWYsEH33Y29QuPM55Mr65deoit35OSVQweSuL3eE0WP/Jy6Lq
yKN+jNSlZrr8qRCRHZzGOtQDBaf92AJgF3+kPUMu0DdB8cO5gUX15M7NYuyzvkUtETpSByZFPwAq
dei+w4bGpc3qI4Do+qc5yC0T5CbpnFYUpPRiZ6PLI/7ICMb+0l4H0mdPfIYJAfS5hT6uIrXlYzl1
dTmgFqvmAQwhjD80bnZrF8zsunz9SirPlsY70UsZ/4EyuErRBAXukQslRBr+8Z9NmWdtJZCGb3vg
gieKcyEsuv1dYYqAcYL12ZBoYh2afFxQNpvzQrfcTo44amfBELxEc8DTHsEL1C8R6upQbY1Am3lv
y/GAQ0zqytZltTgsWc0M/xws9INQE3aUW8r0zWEfsxtjtPwREPQwtaNlcZibVU0wVAyRVigEPvn2
WoWXGC+8w7J8UKzlmom3otSE9jAZ6MbPO6GJCmZqtRLth1X5LFaKWY14RTI3uxu45YFTVQ4ROftG
2+a15JHIO/Ps06r2o+pxmYbnDVw28jA14/V25wAgNuPQINKzmLWv8UZPrBhxVnj8evuWGmVbbOkX
HY3L1H0FFj6fHFEqqLAkV/OwUNf6nnCwxQ1zHYSGB8HR1A4jMOoypF6KvoW+aRIcR8LVFU+lbrRl
VYsCpjTQ42+OKer5ebgHnOoCwK9VYV/dq7ZevHZd8SyLK1X25O9e13Gk9EZNERYT/keWQkp0rjy7
bGK7pepoDqq+4BvAU1GQkRvCZ9C78Wt360pXnnxrkjVrLN0nIYQxiCtHGirWDgI5mBXbVqEqrk25
2m0EaP2bTh9fvoBm+hlYEWun10DvEQF0L/yjS3ZO9HjE5ytlILp6X5Rbuizlm9CBe2SJ9LuF3WeJ
S8OSANGYk26Pkaq/cl8no99WmWTdsJcXL3PnTUMx9tEDz93E4+uN+NEBh94GiZHD2VMDT7vLP+Zd
HnkrPg1vu8Xap1xLpuHMAGm/BJJKChwi+58xyT1ZYjOUcJbm6ZbZqkSmVP7J3GTI3U3/Do553sYF
7sC4Lakn6StT4+htaMJkgdZjAwXy0g6+8AsXGHrXr45E9u/O/PZW5k/EgKA0R6DC/3w+z4/iNcSL
ozRXd5ZeCMFnTgT80/n9r6LByWmaDfzKxeN2xtcf2SaJSFWCFGKr8UGjfXSB/LFHq5+OSW3RGwMF
4D0gGipuTS4PJ3Gunju1PFgkiYXKuun2hwgZGiQlBIQ+5ed9tZpGm4uGAGLq5GEzdd/kdL0LsmDl
y4bxnfwT48P8wwD0/o+PSoHjhXlEHnLv0y6BtbKXkP6blRFL4Ze2R7Y/8/j4veDRMecvts0qCupH
s8VBaxKrfREtUFCaCRl5BzjoA/lYXlUHOVUTGiY7tklILBryCDSes43vBK/EVAMPS+BuXI3tfLWy
RVYgdFiPYsxdUUveVLsiv/bs0C26GXMdqBadT+Aia7XM3dvDUcJ0VP7HIKaUC2N2TEI8mwFm2Ii/
JDwW/LnPsbgqetFbv2QG+0+g/4RyIaN+tM82Agl8kLGNStsXku+cxbIvb6zuZ6wBqdJNey1pcxG9
4++i5q+iAf+SXZPoPTRHEJW8U0VEag0gh+P7gAcAMXPWptHKL0W8ko/8YSwM3FFU9ILfGNcKVd8P
luW35FVfs2rxozARHrcDSXoEptDqPG7jpAJVdp9FephBkqW+kUbwvRfcznw7mDnXbUsGPRDy7ftY
ZXFQfT4trtFUJP3F/PzoBXEV2p25jXztwW5kO1iB+EEFXYRXtmwtZ2bl0+KnxU9NCXddFVIAWOXP
LJeYlW6nByYn7WoOi1HPTp1li2aqlnEqbR9atc9DdlyfVov4IZnupBTFd1o5Kqmi4fR1XP2ziJ7N
0kGXkyn8LNPWKoQqg4NdyR1BTO1sMFCNXUHkLn/iMRwS+Uon6vcW4seDJ12+Ah6Kb62ruafqahWx
H/9zfFCAKJ/vGa0eH1oN07x5y8kqq3rbBDw6eVT1y4DI6p2uZlk9gmQd4sd/eelPvqc3p3Oj9DJZ
aEpsrtb2BTRYibhU2dB3KpE7oZLdtWwa6leD+XTJWVwobE5bEASp5w4wVDlA69qdtPmrN3ct5vDv
cId7UIOf7l7aAwC3GuU/nKkjOFt8czR/7hNGihNUmEueQqyIQAdz0NJiwGW6s9tdhTF/B7NKF5SV
80pjLB5bn+ol6YZV6bO9LMCOHziuRRde7Ju0VR2ZP7YpnqEAO7g7EK+3KUbSHWacPfQY+1Oet271
Xl+0sI+YLtDYPsvM+wmG+kTFBwDBkHZ8KGuWcwf3M0wCYBrLIvo8BQNINA6nTJtFomPXt/oGOD/3
FWY5afMQVxocFHAj6Cy7Lb1o3M+ZqMULljELcId/zEqXoS3qbvnCjvfzTQSeNMR3N1N8rABU4NWG
5vfbzHmMjN8f1sHQBLa12zdA+j8mYBNvXnCcfWKyd2lCgWWo9SHrmuJjPcDgxfGpcdm4kWHmJ28e
bPeByS3ajSryYpM9E+S0dKx3CM71zWKBvG/3Lsvh5JAn+nhvNlDTTj4rEuzlB1qrEG4VD3B5ApkH
Payz22+pWXb5m+X2I9Q8GOr3Kheb/a6leLpMwUHlIkmD9kyE57CUvusSZk0uw4xxO/mYBWu24CVI
dTvOL9oUAT8hFJzSZ9x9AA9VPFiApUyu2H7837MnCi4GB+/TDBYlsgM8tBQ/8LSD0lKRKvnZLDuV
iNlQy+AtBOR27EwW1mVOA579A6lvc87ZU1pi88m22GJ/J2q8JReLY7NkXrDtdnNH+ps69m1oXE51
lF+R6aobA2tyBwSEf0d7KpJJwGKgGidS230qU7gutHqNIzVMVl3vaOCKq2rBM8YXwgACLtzHEvAI
a4Usl3jUXRBq63gI6ek8cJaVlyACAxW2d+OdCqRF8Txn2yyRDXE6TkrY7aJRAMIVd9kWToQfPN5k
EYwgmNtW3IdH2GuBmaKy+7dTVMQs4f+5+gCXNUx1hjWFc2nWTg8WAizs9mcQ+bp92jgONWyTGJEw
2kpo0TszJExZ7EK98cwi2gaG8gATEe39TLcx2XRnREZ2Ggj6o4/rWBWyuIqJ47vz4zPCBJFRGRRh
bgqkkIuICqBBGYV1oAEYkGi3mVMkHn+7obVjwiFih8ORpFxxfnQaP4VlT2VKhFXEyBuq0W4BBYYy
6THjAb6+CCvp8hUKjgA/BnrTecVWGLhbYSXb7DF8AlIXVgRhrfQti/X+eTF4Ln7jJFkyzztogU3S
76L045w6lW2snhzr2xAAxyrv6Ev1Gpgx41swzEDTLGQzb5Yqzxr8URyJQIQGEXTEwm4lg4zGqqGd
TraoQF2DTOGH2yh4Px1U8LDrM6eQH4ssIkevhvKg2+acMEQfQ0dtzFvQhj4iOhMAReJYvVY7Ce1J
s4zTQ16nGq+G6+3JBuuoazkfW5u+CTf88SnFQ/3CIDt2C3vFi5J4BM1aq3E8pe+7/Pwbl8jNv7dG
glh8cWY5BlHXbxa9iZekZ39IvCBr7bZrUcDqTnlcsuO1UU2idg1ucnTVpd/+I8CphO8BO6JKZ/12
fHZVWW1FdT+JYcLnz38HKxnt3CcXQDOzyAnK9/QCLPkDgkyxU6CNTPnNEJDad0kRaOk6hJJZ8qpx
TETz5co9XSKfvyJvKfQjTEAzaSWmE+I8/EItuYosg2JaBXrYDhWx8Whn1ViZ9qJGduGZS1hrPpdF
+n/dEVQSfe3SruNN42AXymDOfu5fCOkAxkVyTHOc7W6GUFg+SJBT2zZjDHgILFyuFQ2UHMVi7smc
ih30HPvtam9dwJDXERB8/aJ80jS1qGo1cHoRj4dr55+wkDUJPk58+24bl5Yv4feLKTR/biYgrYwe
+Tye6EtSQJFn+NQ7aXPbuhsDViqndAfUo0QS03IV/yqM4dqenmzpfe6U8uhxFOAeidnfZl827cjE
GdotP4j8w+i7pAsndSuonwq12xr9YVw8G8xRREt42lObfQDqvjZYYeOD84uGRGbnqtk/OfV8+yWT
cwKTDg+KHYtohLbH9eL1F5LKXYm2tY8QNEHX/eOqC6mTGaDsdpqNEXYKBRmMEtjhZAScg1H/uNN9
ZeVOwAMiT648ueGzn+TLWFHZ/LVBbl4UoMI002RBYD0MtbwOcQrv3aTu7oF3RUHmvPhfPfhrletz
tNYDJt4oKyA2o1cSg7WNAcXoooVH/2y45rIuyEUdsN7Otiikv+4AQ+jY+mT1h8DIvNFDTWtUHwon
2CpkC5xhjLhEaYUbaaHppxZq+FrQqxUZMvSjs8zdjB3BDQkWhVfx8bqfQ6e1ZwtwNNJjqF8dYKdD
cEi46O9I9WvdmUHRip88QEhIqwdqEXOydhUnIqXP3yCoa7cOovkkb3YvW3bnDGfL+fj7gkoLSmPY
dz83sKhsj2r9uCtkGvCYyxFpAf6aE57XB8djX5FG411Yk3POIDivUomEg7pEAiXeWwbqqRtDKEqF
saVzF+NAC+l64JzSmPrPYrXl/tdnI/DC6dP+2Twh6g0Xv53oKAKhx1Pl10ftTs+Kw89H++jmi+WJ
5LWknleVBWfsM+2y7dg1wm0POklHpU6q10nzhlnSMZiaHfVRDw8E6RPPs/fWs0PHL4O9ZOL/BKtV
0Rf5qly6dy7ZgOpsWUDMQOqOyFVvnqQUJ2G8JLotPzJ9dNqElKaKplHKZHSLg980yVMtAFkOSlir
AIr7I7ctwmiTOYGILK8VjXOqY5y6MyM6+N2QIkWnT9ZwQQGCG421kpWyDAgwpprbkEhUrNE7bpqU
9EHni2TU7tOpHtBJ6eBVX9B0mgbtbxEiNRt9n6ztmPEHBAVKfzarQzuCYxSwQRcFQjCwnwKGGP7J
3ZrNNHDLuUYSkBmi1kM4H51eIIW9VyF3stcUaw7A6N3Qe4gkzCEAVReHX+iE7uu1nO/neLTEPQSI
UN2q6fDtTH9+F224NNnoeZ5Sr1xAqf7f7OfWCxyS3wfT9yL+t997o8g1ynoaE6bM7qQ9uATmLdmf
lFM0Q14xorJty+aohwPqam+souzvm1vk0gecSkrobGyi+iGgpX4ocPiImkWmrTwDx4ySnkn0FEeS
JJWixlfvLDGHPG8J097wPQO+4FpVxRy4pzkB1ewAn0Bp+2X5Xo5Pnw6HwisrR6uH6T9wIQoc++Gs
cF3vKBmEBnOEY3+NB+sni8HSJ5FamIF2KZ4EkP48ZV32VL0dMGIYa2qhG2pTzeMpsjrJkYI0lLaN
EPmCLPeMD9X0I0Q+oUs4RjTbflt9rYFvcS7GgF/1ptqNKF8RXBbH+oWMA389Ch/s7dtEM1P93yon
it+NppZFFCF/kpbyV2VBLaqt3L34VqLJkIxgr3/yjxJQec3C6ZcFB1La5uRpk03XikbsHerLHy/3
ZMvxCU/RHCvhiE+XjatQ/LMqj7y62O1Z6loCjqvs8Pe2vfmQZ+X9p5L+iaDG7F3KxoIKf+deGKrt
txmKDEaI+ieQUtSvUTrI3X77ZFW8dn+PgKnt0O9VQwk5Lf9a5ptydhmY8llOD+WCDMmHkldttonN
IZXEG3XLaIaqM8XKawqffkcR0PgKSHY3/IJT9iD2E6JisF+dNVxm+pKZG7C3MkaBgDRqIlgRjHmJ
CIckR9zlam/R2ZPs3t7qSFgSVyuF5lnucW2+JwjqJw61pnyeF7N+D/APsdtzkMhjK1T/5MY/nMXm
00tY14uIk5v5CuWiZXILCPkxgDRmgCxh/Tyr9eYJrHnUhk19TNtCJqK275Wlbz6sqV9Z8BJmoXDB
i1kJWuf4J4TbV9YTLMHaYtsOzVvo3cr5hG2sPnpO+dQZMUHKRaMgXyLDWAfGKZGLwdo4LbXfEpO8
PYFOEZp662W6lV2uInm36DbCkjF/f6l/CEBm4NGooICGNOn7Lylr/lpXQDAwpqkhoEqYUC8BonYk
WyN410to1uoTi0JVt3DKyfiHABivOtNAyOdNlEad1QFnQIVbVHOUzLSoaR9ktyDQT7vMQf+4kDRK
YD6VP7Gb5Ibq6eX6XyNmphF/5Bdi8emHZqz9x87ilIWmjL+aR+RL9dtvkcPhqBrBAn28K+5TeJTV
4niLNdHlkpupbMyhlsivcU+i3L5+2OCYPOGR4vjzuuBY4gbM1enpTmUE4OSn2VS36IWzp2LqzUkX
nu8U4ZSMMWqSnmDSaaRaJBI/1ounboQFwcGrgp3ST7p0a9smx9QpaEwJ9RCkokDqN3bL9FgTuRUt
UH6AnYNagrJKD0yxK54ur5b49EnXu4quehB0An3pEnmclZP5ejtbRNrleVrhhfgyEj/EtACCswT5
A7pViJqKLTPYNao1GKIMHDCM1geEadLiumdN5DFEdTK38m99Nem1TXrEUdBae+6solXaCrNVBcNU
KaZW8QLHnMrHTBAM/lwq8oz6r2GkYzDiQtINyC9RHWW4IXIdLtzclKL2iJ1kD9j8hvQ+ml8TTSyG
J/FvzTsOegotiDjovciRsdsGzjwCgG6tPZT7eo/zok2iPfZekamMEqgF8qfaw1sZ2fPvaucFC233
L0z8vCfzp8DCfuakxjUIKxg7kOdx/kePuS7LvcnAS9UoUQYeDjnLWLVTYItWdvmtEFzs/USTkPu6
qyWSmM5hiF57WhkJCCjgKU0mbnms/5ogdXGFF5MAyndMKujTZBTyxt74bWUA3nTKrjJqJBwbzI1z
diCOViI6LiFyaVvUROJnw3VLopqP/oROrhrKeulXDQv2WFimj4eiLa9zKpbouT15I/RS4ptmvRbM
3NZNitjh6RDj3hc/WIxA67dmkZyfHEUb+HBQBEoNT3mBswNOV+z8CAsIGW7W7L/3aQO4DbBs1clD
kaKyd2o0QDRjNRpNCP56pVCJF1nBjrfIdbTUz6GOV3udMTQFktOouad3aiPUbGQoqx+yJMgHC5sC
LCF6Mgy8kD8MyH1SMOh1lJNfJEyqy97tExZUnWro0GWDqcHt8MOzgO3ZVb5tq0Odcui48k/lIoEQ
0MClL5BGNGHznpJl1cVdbDUo7xtagiurOVyqDoyhspNy1CIhCLdUGloiiPaZs/eYw9G2Wt8cqv4u
v0TlpCfuf6vrxsMEkKhE31iXrm95waKXHpjflHl3zB3VKN8SCt2YfyOIq/5LT1A71C7v0qt8rGMS
tkKxkFrHe13FKOfCSHI4XWWnlRP4Wr7lN2cfDbghfL0lZYiWsLY7zoBPBIBGS3SGrt7VSYG2zTTi
wAVwhhKjfgso8vLRGAxxqKoOnBF5TtghFN407a6CGc9X/Eo78shrjuaJ1QGMXZrRNDngxPe+a/lq
MTz+ddWwICXFxHELggc6Klz5vetF/uxDmws1JTRluk/VSfTBt4TfpRMY00gt4wB0prR0WGRXJ+EN
GrMsW4Y/4/INmmWqVaTrywEwMhW9yQu+WDiDy7tl8HWI4nkidM2DcRUsaCrjhvX5wRZlczNwFFKd
N6OpQ1SGpvMokCZLP8Kniwm2tsFgKGiAEtaf59OXy3IU1zunUiLorF2RVYr2DeAO36iWh/WTayxg
B0gtkguKhyDYxXcPXEgb7wW9t0MqaybPsVXnnom1tWbJF5IdiwIZS1/vflVEY6YGCJjHdJZTCIa5
hkdTIMFpFEHjBx/jwGXRhtI2o5SuMVYsYKvd8ZJEB6O6pINgsDyqoatFEYUywLgknSvIEdYI4U7m
tSN/+vhIOCVoUBfXobWh/PYMGyl2h5+t90q/GBIs+SJsGcagNe1FFWqtz6vyvmIiVqFXWSWcm722
Rz+OH01Hfub3kBjffX3u/eZQyh2Oro1zZ7AewIySHauAcA7AgTvtROoDvCPQGF0GtI+FqFjZ+zPI
jqQsE3YcqLY/+TgpuIPwXQXxpri8YE98flgCBT8YcveNyMAohamL9ghZs6x/G7O2n8OuSx18feGz
pmijHmtVXXL9mjZb+nKZmtW9F/X21ytbG03g6vVUvrvGLkOsZIJWSni6BA2D3TmjFKDxlGlidOQa
xMEQ+3tfYMDrdFlsU+FY0k0BPUN+AOdYJ0iG+xkIDgpOjYK/ROpgUmpLzxlc7424uvv8HkYm3wD8
5Kou24yFVWBsQh5EYQX/n2/iUkUjHBC6Bzplg5Gvpe9Xlj/W5cKJWNrlP6kZMeq5Qq2fZl4HPHFa
E8/yu7qlh8zpFHx5GMSrgXitQVOO+RrEfjx/0UGEecvCcqQN+CbIImZogleL71vZzvKclu5ZArzO
IHlQp/26lNuFPo/rKJLa4tKcVao6x/Q3Ve5KmjXtHqqWPf7sfn5hy2Dg6uCR88CdT+PpoHhlKxPb
KhlRHgeBJDdGAnyBAaYb7uKgIk0TtVOu4tucROi+Ir8ZQNrUwUnfVjfrYVrCxz18us6osOQUrKml
Q5FDLrf7ADIZgq+JA1On0IMZmnK1C2GQZtBHKoHuLt+QY4IVa8EPNlZpYf1beqfK7qN44ZrtleAi
bH96CFPJNFQnj46rMjAaf5diDrm+R3xYgH14VRXPa65u7YCmG5adNdJ0zgM9PmHaAboKEl4Ze24w
o3dU70lut9iA3XQ5aUtJcaaV/Jmr31JyvKrEaCz8oU0jOnFd4jtuNLJahCeOUdMdbyI8Fem9vIyT
OS3fjtdd1F+KiVsmrsPiCdwz4IFvvD9wQ/GMLDZ9eml1JQIBtwF/qhv1YvDZnnnBrlU+8X853sxF
ym3DeJ1y81h7cAU0N8FMTz1JySGjZ6flnmeykXK0OB5fek74Jbexfrrk0Ok+MHtVS7Gq9rnyfi3Y
RMoR4AYDSc5+B4RJfOJfpH0yBC++owvVlkT/qVgKJQLP5T1EZrWxa+BR4rDJ6oAznJVlPHjr487u
NVPpaEFOBQKp8TW9ywCQAz4e3fYqeEm6omLaAaJO94Xqnlw6l85nLC7d+5zWwIVkS7kbILJrlT/6
EZdlks55fu4zYuA5gKyoekfTv9cwgTOuZPYu3JUf9sJef4EV2gbDypua1DUpS3SW1xu+n5IiGYyj
MPtqUhTM9V7vj4KsCd79xdJYfsxepd68zSx9izvmmw/VsYe9jNpxkJhuG2iMH65BZRL+I8+gbDAw
xK36PoD66OxgjZaC01vcu1ncKa94SS4IeXhle7VFUTTC+d04l28IPiLkdrkIa3+xwNGffbzJqDFi
PZ9ZyVrUcMFbRDO0Dsm59b8GfbrpV4tvCG1vOAQsXsIkBZqLcNOzkdOU5ZPgX5CZEHLueWvlbhbF
GStqwzVpaciaGaAowgWPPq9c3jjgRbnHORXLMlcQo+EZ8QSX5OodVvdKawQdrb8BBie4Op8RyHp9
8vYqVgN2FmF7GMIBTd3Yco4D7ZJj1JtOXpIF4vY4w63f7OLFI8clREilzLZj24yrihwld8gM81G6
l58v53DySew6OgCN7Xz2zrqF3h+oj76A0azuVJt4QLGMtiE43rFY2Wp2/VKK9fxsHNjiyKh+yOqZ
3ilAIO+6I0K9reScJ2iMloiiEShPHcB5aN46wuA6Xb9WEJgGoHl+w8ddu7ETTMCDCLs2SahO1URP
rzh3uY2/JdO0lu6dPE2CeCdiTYBEdqL72C1AcM7FthcG5JxSps2J0TyMJThK/OQtsOkzQdCZHRCx
CZP/TVVRQBM0eOc62pJ8I2ap6ZQ6v4SgqM8Yazxo7Faw12hTekndOAGWfNHRFCj9vbSFZomwYUnl
o21m1Yk3cpSxmUaqykmYC/iFi/ZWfT7Xo/67hmWPbfp3KaJJHdKJNvHoc95ySmR2rKDAj5WFqGll
8gwwD5gETSE/Cf8aBLjimH9VQ0ZC0LDR4CanSS2PCxGQBoafns5gmrQcnjtQddDXqEnEd9kAZfaU
jU7IrlTw+tV0JAj/r2xk+Vd21NvpkKxK0/4jF3gNEyDpEDkzhGXVB5J05l96wtRmqjUZATffWekH
AeJGaaEcLa001jFD728z2Qxu6O1pi2XxhgmTbLJD2cgCbW0v1F0ENGZl4Qo6gThIkc8rmDe/OVxC
eIr22NIXROTl3egH6kRMxyqBLBBEgiXK3RrQzx+9WvBJ4DtUIFOiBCh1F5LpFlfHwfObCIqhp31S
u4x1ueOHqXDrz4ys9aZe3ZGg5+pUY7+6Y+SLqEKknl0p25o0f2G4JS18fctnsiLAptcTUQ1hXl7X
LwuPnSBnsBCMtz5Xl8UB+kWBtuDw9uAtOgAG/wRMl18paV3rMLT774RIw/+Pg4oaK6ccC4Dangel
H1bQiaS3DfYJvjlkgb5ueXdlmNvyCABa6ZQ1Jbq3frZEan70Ks/j57l1JjY4sd40txx6i5FXPTPM
cJGCTNE/y2p8uZCQpT40dg0YhZZ/rS5uq1MzuOeHB+vNC7QPRg5hsgXCw0ZwdN2DSfYZz6tCbmkh
gB34rINnadnUyAra98fv5arXqrxr95bXOfuqrMg0xMFMA4fIPk56hGHeknHE+AKweLGSYt3HQzxQ
rlAUEbkl15ORjIbKVXJgkQ4mhmYtMWuZEKR2k5Dnu3Hi/wJM+3+JCh2vns45z7gVuWUKzMYooAHu
LgLM+KH//WoXePaPL3WGQ7PCDB711Xu1KSiyDziPr55FYiDS2cbE40opfNPCYzmACNhdawr7M8BF
t6QBWmVXD3JilJAqmihVgge1W2jpbN4yCcIsGAd5PpeRlCWmo1RZQmn76P1qFeb4G1Z/pkQv8Hey
XFix4PMbF2sjcqd2Z41/XPTbvPAZf3Ubvo5jvExiO12lkHdcceSjoMQ1uQm41DpoAt6d998z3153
6kOqgachFE6YGBwZ9hT9REne1p9YWtaHr3led58wrafyBoC9fv7/mIG5yg286lbe09D709xGV2LI
loatfqL6iLvaydxL09pIUY5f0nQzzaOOXHzZOuJXJ4+Xm2qLPvKS2VFQarSyoKVO2EquMDZ+Wly7
D2sCqWuwAIeOrWjgaG/r+7+5URlKi9G4nVuGqrYkBUjhqXYpunVU0eXypz+2EdyigWuu2sMBWkGu
QQupN/rZj1H5EA5cENDjMMdpxeeluQjKUV6ZCAU5xMld+8MP5l6g3gzX6y22V4TXmliIKujwX9Dw
p7z6DMmCD+PpSzfcjWagsdIdVLE/35Mg0GzXKfTTA4gOaasQkVLqIs9a8D7YSvpT2iPZ+ncXAKvO
+t6vRlfkdAnXXTKtlR6RHPzbP94g6hrfzFd2/jb8qFso4Xjd6GOlbKX+PQYgQ4CQXIeN53b1nzFi
rp8/VHrNadSlqBNkCXv5o8ZSrHYMLk20+BKvAdb2qw6iJvj9oQRtBByVpz0vY7XRGePmLV9wbdgQ
1AZnwlsUqHdeCuAYqrjjPez+dhD4XRcLwM/UO6rYH/CMu79myuWsglSKNK5K2bB3v5NDFGR+NgtK
pEv1E2WxBpRgmZLwpJ4FHcWZ3U3AiCVnnJusAr+OyziWzPPshMnZx60oGsZpMS4X6txUVMwpWW/n
EIUmoFmkqqBhCHf0dqXlOaqoOJG+uGpY7lvJzOPqri/xv/o8hPwO8hJjfhkIx2OLJcxalwZFhS+n
4ldHcPEREM4RATeLNxtkRUtS/qAgEMaPXP8mIcC2XK7MUo9v61pm+zYwPjbc4p/PZ57teWkl2R7N
7njTovqnoaWFJyCA3vC665EF/kJgoVEMqsNzMzXiKtK2jfYTgImu1pA/korxYsdAlVs0PbGj/vnX
N8+URBjBRwOT3Ah8i/TzzeO71Z66q01lNmrfxSQJ9hQUMsHmYUDOZ5GGE+gMWL4U1y+Hv4BeNmoD
UD9KLCJeZXPYcQwO9PfFyxAghOSDo/hEGHqIWAONC8eSxenIv8XTGt39B1z+RygMEAm+8jDAx6uR
mnQg3URqPV8QHKvKqZeGGDY4zlrZAQspSvTe42kjyLK+8EKpZsoyZlq2fMCH7a/DnIHjizpo8dCZ
VOXvtb1pYhiQslLmuAVgUyyha3U9GqxKD1F5qjbVEXJBd+g/fx/d8aSpPXvhdPpqBpMVfqvlll5G
2jhdGKtjeBkpbi0R3WlzXPCEQK8+fHNRDDFJ9olOJtlJgX54HnL8dFYSwcvlWZUOuXyp4VMoES+O
vtr4GtLcNkBdVvB7ZjzQBYrMyW2AmNHIQQm6euPB0AMFvD+FBi3WhzTlbBz8YkEtyJuH1aBpjdsu
h8g4eQr8FbBYvcbStlNSsswfUSJEZ2H0asXotu2S7ktoXe6speFnqDu1XN2A96KHa/tL/povuNjD
hJD2A34LeGCb32+Yq51i7JmDHPHotHF3oilrioBPju2PUE+AnqWyPbmt7+tOxecgCIHNIEJzETXJ
yXMjWE3VG0MYIv/k4m5aC1/Mh6DldfiWARkrxI0RA/THZqqvKn7gTZDMkBuokIVgEtZ6Yeo0FTxj
kXn1N90eLMPWR7EXD1LtuJaq07ljM2J/U+0gl/A1sZBy2kT0pFdX7Mnao6GO0gI1dvzeIQqfdgKJ
JzcrE6+WbG7TwZTBVWA8krvMT9rjS/ePnC9obkYZT68dM72m6arSVXDXYAzuh/yK52Ob+tKu1cPV
NRu+D1K9lhlsjauFNB1yNlDF8gXlwU7gV2R+ZH22T28aMnohh2EaY645TEL9dFb24RiZCOqB+c68
i+R5X+MEu87ERsCoE7Y+fDydwt7HnOI8UBUbAFwMJlYWcwOZa3MeqrloqatghgnixWvvucOQOrfZ
0c0a9Rb6zJHp9+9VrhqV68ZeoZ8kvp7+3mOc3iuj0Tq/bEKrHVsbyevxJSMF99LEQZ7YE14T40du
cOia5P/H8r23o+LE87RtXzws6kN1QLsnkYqSDzvj4yp8OX/ajaSP/oT1lyOcgIwaeQ9y3f1Tx79n
sEFa3kguhrQEVmHMcUX2jjD07vpZH0cX40Eo+aBJSs6IdmBjo0jP2KCfc0RBLZIncf6ZFaf1H4fk
+xZW2l6wG1DjdkVQNNJtitrAUPtIeslr7auVnRDHhcwttUOmQxSGPhvOY5aw4G+xqDWzaLejBdfY
vmDpiaXe1LUmqd5sp1Juwe8fjk257pbnSyLyyMSbayAnAtJO2HWEBiSkdBEpYN6AvZH/bCsgOzxV
83X9jJLfRavCEACCiHWrMCZEDi5PampldYj6rxc51FefRlI5RMbaztQ6dant9As+MbvNpYyIYv9l
/IUHlqk418+jw/V4DQs2iA2GTKKBQmps/YALK4pLB0nEp2PCII2UP+FVcgt3Wg44IhdVB55Ni+0H
NccV6o1g6KyhrQKzf2K6PvMxTayJcWTIzWI+2VFCeUIVB/wZ8nAQ8aI5xShuMgYNpq4pTTetw/1x
4NVJZ5ItYQZFg3CE8lClX08At7GFU1NrDTl31TVPtIsIQTCS0ORlbHnmhjiyk14qwp9WSPQDn7yx
jM4NHah5CxdfABO14B20GMLxvcIfrlcB/1WCz3TC/IpfI6WSQ+sc4mbdgP6t2Tc0V9hOnRMRCAkB
hONrL4Z1BPoT3b3RQUypTaj6EYwrJlEupA3o33qERD8XJCwg1oflPt4ppf8iqJOczszGOPPQwWOJ
4zczNveV9mKSj7KbEooxB8FwpO6JFNEN3iW+8hbhZjTUSGuZoFj2VxtCZbnq2z4sDmjfdR6W5/Lo
116TYe7xGf2gFzECw4Fdv3rUxC5oIuZDQNV7RpuqQIXWZj8AbmH59APnEwFsite97EldYW04xLxH
Hh18zIvtU/QFC/HE0Gm9wQlRu8o11mYrlEL6crkUE0wAj+9n2+gBN+iJ57X7bqiddgUcPlpYOME5
4xmOVVfXXh0WF3nzgLMMtDgNtDcujUevZv29wRHAD6YPn7nWfedkZNn7rEZ0Z0pktMladEswhXTY
efor0zm0WiRLAHxHUVpGZGfnw4bgKaH0o2rV/fiFdDF577YB0IS0xNUmPPScCP+u3V1E+bcco1OM
2yNEj6Ni6mRL/S9iPAnEvi2a05THtTEZKb9apCsRGQfrhbX4CZ6w75R9jWKobT6VJhGUPetRxoq0
fYBpmmUo7hcQej418vGHKBqKnCPHxqK2+E2vIQ/BXs5DhZtUsX6IGaAwgB8gd7VRNLqDxHksvxS5
rqxjL4ZsQKDl0aFRzNlviIQyyTIcK7Bfqy6XV6khfQsjA8ngsbfQcgtNMwlK59IhlvEpIZuXfVgt
nSm+h9EgafF0hHzhyBI3L7pBA16Qgyxjlnx7ifPc/gYgxWR9wDGo1zBmMMmHdaKS3sE1LLecjJ3o
U+ls6T/L3znLbsP3am9TSA+XbOUvHZo/GKTCoXozmOKI5Zeh+KFabcrjEfk/Ay19W/L98fZP9pOy
Jz1rr9f7Qhm0gy1qL1xhj7luv/QCk75l22QUTpR6wINYPzFe1GoLyR5z9tR9yo1KSpGIwDS6LIZ6
XvbC1BTU+1YbzyeMJAcJ/t0AhYjIH5x7TB+F4jiwYZz6HpucrV+8Dq2ma+AAxjGT0utCVtL0xddx
hnYQAIEUxdjo56/8I9iX3jYoa5Mlxol4uLXQWazhD2rggsLu02ABfgKSA28mm4AOFX9Zfd7Csm6i
IM1xgzP2M0HtiJX2/DWHZcJqxj6qUF0d43ePlH98BdLxGhpicGWxPPMpvqQHZ5tlcOM3SsOUhQCv
GIcQ2xZSwLN64LKacu0UUp20EdpD5Z1nlC+OFZr0s1IXQpPyKpxArLGFR8EJFEflH1zEzk01o9K2
8LjNNilrHyafzRYwcX5+LqIFnONAkXdXJT69FRMY/4J6IJBHLWnY8vec3AScdYb3NTNE8sQXyZG/
7NLPnxmYyokf6/F3mIMYM02SRuebtjFvIJzU2DW9pSgk+gXbFtnYX7aqDm91cQ6E6h3yCZhhK4cg
1QlXtaiICkPoMhzFeIE26ivXMn3k4DP/gKed82YUDVOUlr2MnGD7B194JvlpHbzJPn7vZ1w2Vgy4
78qNeGaB4Nuv3qJG7XCXgfjDjzQiqUTwSElMigpVP2CIxn+Cm6aHrE3wIu3zVXU7yaLYDwwNaKui
rL3/X6zUtt2hDTOY+Mc4KSxJ6CUeC3E2octS1ea7xN2spx5o6tqUSzIsAyz8btQ3zVKodOg+41YB
Hc0G004dyq44OMUpflVdPoMeAjtSHiR/h89b3degeFwHLpL9q7hE+ZGGGXV86zO3sS4wiSEuteBz
TjNKILdQQlhLXT3YFjUxZ9e3MRDo2/GxHYqRMOR1IG9E6/BlOPDH3CeiXBFzgBZV8rKcVHFrx8gu
yk7CT7p+OtzNiiVLp3zXOyDViXA8j8wfAGenEYimlAfiKAkGOJ67Qrs46CiutP6r3teolNQFCvHP
hM7CK+yyyfvPK7SexC1nzJC5ZvgSfrAfYpH1UlF/1VRlHvyJiEiVtI/TbNd9x0ICPeJJlLdqYTil
M+M0PspVC5OxI4h3P4LXjUtzVN4oVXVOVQrMZqLXnNs54PSAyU4o90CTvKRsgwSBbKAk5wetZgC7
kAzAgZqc3n4pb4kkNfTwYdDDPSdgJZa9OKGzOJ+NaaiuFHWdrKasV78+CnrQ9pB8igu897rr8kNe
3ugDo3X9IySSSAsbNGm+ZFX5jBrOo4V+cn28WS4EC/RLHfiTZ+51PFPzmDo9L5FzlXCtHinPmbDv
LQ6Lyg98nWS/LXASEiInybhsOPO0v59mwVQeND+e71vVS7UV/I0zkMhs/9T97owHeL0U9pmEvPIT
wF+QCmxV2LtDpv2BMCtVWI+w8G7tke+Hz5EOl/LfLBd+OsTe8qenMSwk2OlKwPjJ5Dfm3Eu6dsY0
DT0juCijQJHNPAlZ2xWG1x9caQVz6LAFIiV6HSQwlfGpX+yaZO6XTCisioe/qXhxdo1ywy1kvLNe
rufGIuQyexWfXb7t2n54qwXEmzfAbPwEVu4frPbUlr8xBPSjQcXSxHiX1KNiwzmbFoWDY8eX0smv
kTV/pn4vY4DsvAuyBbmmmsuN39aq7eIGpVbmgaBB8wxUVm3YVtYVX2Wj99x1vCXJ45W3Gk1BwSWw
CoEUPuonRXPeBwBA35QpZxyMMjhLVcch89llIhBb4ZY4uaGxJ13f9+R6KSAcF4TX3SogKyYyp05y
hzSk1qL+H63p/ARZIhmWgaBNtingWj7d3DU1PBSg71JEGIqKWbKgSWIff6DFINBFNNVOLXtYNezw
iweuRTsylSicVFHIbZAAGVYtVqWY6PKI93JllUMejRzGJbcqFR03CgCTcE3CLF9DkXJUJJumsXpn
bvViU/S4QWxGFaqbnYj1WH4IbE3NPd5f9Ys7Ok0QSE63qC0aWNpF2udTeYT9dYccUkDnYgxw2Nyl
ushBxMEok8YQpo2eUqK9YhwiLkeGUar11r0aAeJ4ul7tJiO84cGj8Z1l/Kp4fJZIGONi2B10rfPp
SzAOe5p/XYNJnF83oLSc+V8EvXEA6+L4jz9lWlxZoXPQa77rERsbq0L/iHyAMNMyYSA6aaP3vXiZ
7soCD29OnUC30mUsnZ1Nqqm8kcsm4aYAr0ykKTUUvCTI39a/XvXIFvIWJgejgN07VqNGQIZiXpuo
kBf3/CqXYbLgPgppJu6+I7CdUuxTb+OOQhVA5/EhS6U3OwHah1vUaMox1N5I9tMho57MyOgiShg1
kEV8W3Wg56K9f0GQmISpFfITwZoF5qMdcJVRfVQQ3kqjgyJeMFCHnPxyGZuVO+NCbvC6enR4QQMq
7Lc74Iv1Mzcm4n4lfDyYhDHWxrRyt6V2jOi4UlhqB1aHnB3jxNIxfWHv6rlLkzl6irxMQ0HugUQi
dBNFSezP3hxiEUKkwK/67IkTschSyvPdwj8av2YuGZU6EWK003oUylw9+6+BM6qKwyTL0Q3U99Bg
RIc53H8KLDhsOCUlXOWmSoQO5J3l6ikti9FCh7cp4vPgpiTIp1tdu39lN5DznRZXfUHR0CW+56HV
E1VJqxgdoEaWrpPL8XjF0+KmJRHIy84fMd2RBSCYXRNkQiHJVg2jHDPLTeGPePEf+fhS/jCCy2Xp
6XpGSsbifKf6VjKm8CfUcXwTmMsYcSlaZr0jN9ujvh4vGZOQwp/IyLhtgvwZPXrtUwffVVyZO6bA
y4xhKxI8aZL5swrgA7hTHFMtarTeJivDkCqOJOxaBcgDqAyMfvr/J5KgLOs9HIAk4i7GRP8akL3E
mhsaQ7edlwmLJ1+dErPjGuyB8phFlvjhQ7tzjRQWLEKB67yl1aozf8g8eC9uguGw3VIr+8J6uD2v
FGo2N1K4Uuha8K+0vz2r2KryUusOUsDUL/bYM9DHfyg8uVxrG3jGoqPUunxe23kyO/qyQmZ/3rXG
o9JBBO8dBDz1WWkhthb2kMBae4qVTjEDcNCr6OraIp/wMMrMehu3YvSexVfF/FEG+0JXFnwhacPq
RoUcokUWznuhekYY6cXcvU9reCG4Qup0H2RayGD78UqoMduTLULHki/utlHVxL8jqnwbzOjFt9QF
8APSXv4HagFQYpmXK3FpYDgu1xBFT+msEhcFnGZiQQaPy7nnx61CbPkmJAlRznPrc+b5rhjV7aWN
zIc3M8iivIBrpmhDfPqBTaz6fWOzidYWtRP61x9WGaylEvL1WbliJn/yvjY2PVFiTJ5Ti607+Gpf
FGgGWt6Jb0nfO7xLoyUyPYikuBY/3y1upx52al6jRoT32CFoouG+Gd4P6fUuhQq/I1utHJbh1Oik
fzmbdtlCp0JVw9gMZTvdRymdPkwf+2mY+kvksOO0mpAizhPna9DbLOBt4zqU5h2zhE0BzQaG3kTE
L4MOvEPN+zcKr0i6hDhjcgsD/H5JEeouM7k8UWyxkg4Grh0575fCsdHi3OOZ5O2QfJz8vdVKq4Br
uErUzizOKhx8AeyTOjTz7p6wtRvqyLbF1ZxdlMVuGcS63SvTixFW8QUezah3VhYF/mDQyMSkhzgd
DOJ7Wp8VsIVKbwqOyFAFqS3d0g5fFVItJEwJcIylsC+ph5SwF5xRF6I6tinFg2kWnrM0QnOBrnit
uNy3fIeQowsobS0Tghhc/wFissNZuvzsB5ZEBt4ojHOj0H0xsVdvfNS6ec5ZVx5kyxWnnn0s4D8T
WPk0VfGlx0x4lc+Kg7SOahNcLCLgOZYMXljDr/tWeY9FJRXxTLtu0H9eAV4guIOMqWOPHgJti4ig
UOnoAlDYlI7sV1Dl+FrybgYKFu3k/fkeUxCy737FoFr+1M80Czr4qNedETIuJ1r+q2nxmzO9D01y
WEbU0mImgfVZOVrxF94IDq9fYD6C1/Xxvjkr4VKYY/AbfZB7dDQYEp2xDTf36vhQ3CSm7XHEOpwF
dbEuZaPrviAq8kcwcRbFkAhAYh0uwsoBdkc1FDGK0Zgx1EWcZqrCGU0u+hb/39Ek8ewp/p8mG5Jb
J3z7izHwWzQ1vIObjoqHSuIHvb6sH/wnGciEcD8a9bi3fGghezDERcJmnNXgU5gsnhpjshh5DPvA
QA/i9n2hILtb5ikduh7lYp4/mgFEzjZotbY58JnzCjqtfw5uqPRPjxJ87F9cV71cCQjsB3gwvlM4
tbcjbqYXDCZi3uxqVUh5ggn4BSWA7CVXrRp1MynkTUcVjg4Kf0ONvfrhFdzHt+mw9FhKOw+60uVV
e/mAdJvYbrHIe9IDlGlsPQYWRtKvpm6PuWpq8sC9PvsjoG3QG5KF/ADFZaIVutr4rSo0oU1pknOV
0s7EIU6G3BBNqWlMRLIjHBPIWn9160882Oe/HfCdMHijge5aWPvTEWraifR1hXTRwqbbFO2QVYsl
9k0eWn6BMdIXZcsJ8YCssd24XahOI90PkcLaT4xtC8O3nPMFeRcfkqMwePK/yQXD/Yb2xNkoWuLp
mjHyjuwdtZTGrMe4v92u5WsFAv4JIIvbP1vsc+ht6e4JoaoQfVs/ot9ta6E5RC6Qc0cYamw6uJhB
loB5/PddlU+XCDrXzkTGuPP5EMMwM0XL4RsoT0l2wWl6eqiyxI/tHIJcuKD1ZxbTwSt7o0PE75CW
wQYdj455oKZZjM84WuJtUsFYhzb1MdWIOdbH0vaOEdb4wXOFxfn8pn26oChBHXVn31Fi97pOM+i2
DjMhQ1RGcGgvmDtLmcdrr1eBatHDKByemIra/C/NAliCzlRawa4kRYyEAnujeDNJjS6KzhCun6Cz
dHGNXWESRBYERkeiajFqbxKlej1WutShTnE30YOBfVxmMyyRmOCn0bo1KlZtKJqDNoFCUH9yTIQ3
6JHcob48nUgRE5e1yfP6zP50It+uTKNeux5NEeI3FAmnFsvtv0jOYXf2zFbLRmMdqQa9SrBrAbyU
EytYrtZip2sJGNOhQtHKmSJ+pi2dhhCZty1I/+l9QyTZ9vI0ROectPDC/ApUkc9NmWHuVPDCi4Rs
Tdr8aSVHIwHx7b2d/sWUUOIJ+0rh1gjarILUR61G/XkTw0/UBF+MPxoYhz9weClLTqxqKvlFrNvY
SCDPI7iQSn7oSBr+InVTgW8tFOEiPVYQROc+MDFU3XtxeePWydNaaGVPhD+wDzPjnder5cVzsp5e
JjKm94RJe0CFfKWcgd3l+djvonQCOSlRiO2EOi1TvbkKncD85nN2QzTbb/TBUF6aWoOgyVl0plDm
r1iSJePCO8I+scTXFEC0Ka+VYcUlGBA7iXAmOu66w0aZg2CqKlTUBe0mXnmge5x7VNxOT9SEat77
xElN4wd77LmJt3ZcgFxontm7Z9NAUw0GpWsQgT73EJzTBp/B9e3K3yJdw5Jqam+H60g8gnS/kVeE
HqwhXaYOPWDsM519LgkunOae6Iep/VdD/ve9/q+MuiStNB2oYxUbM6OQN5MmjjpoKzfO2BFhAApe
to7p53gb9BuEqN4Gi/Qb8FIbA9mlwn/0TzwLT/qB8ysz8+Od0wbl0rqhL8ibPZHX9r1iMFHkRnRk
aqiLNuO79QdR+J9pxc1OZpBG6b4maZlf4I5EvuiUEQpUh7Piz/g1WDEC6unDDq2TRFoB4jm4BZBN
rm+JQ8LW+APiEE1yhS+fy+9uTA1K56ZrwQ79hRlgNs5aKJLs3f4cR9P0ufEMmZO0SWc8SNCTop1J
gltRg4WwHrSDsWJYq0AabdnvD0v3PVvNnQL1gq6rYCWNtJgYV2139lNOWqCch3AsPUl4rMmZ7Pj/
8UQTWj+RRpQR+0y0VGbfUp0xbMZJVzUzeB2Yj+i8hv+PMcVA59Ezob98W8cCfB0WfWj0oRs3YJtg
YRcb9aRxRsxGhJcKUVuaFCKrnk16hlQCWYpBz5UKlF0o+jEGwsdmfx7y/+NNlHp/Sx8DscPR8j6B
iW7vrkUjrqkob46zXysWg4CYE/hAkhkJMupitRrSDgaN5KAi0vsUWL7qR9Il5wY5C7NRuu91ymYU
ENdvilPAWF17eCCyj4UocKb0Y7hE9RXbSV3aTZ2fUXG3gSd9wJNCWLm/A0jyVKHYJYwm5O9EOavL
uQfweGZRN58t+kON42bhpKI1PxT1HyNyVryi0udu2AqDay5lNkberB0QrQXIZMLRE8uNWFL/RWB9
di33yh3pylo9xVHtjtKYaJkYAgpJNdc8FJC3PZQLeeZzLbc5iDJJVDf2a9AVPgEQKIzMBW45dL0+
Z4BVcVoMckDXs7aLMlV/LlJEaxZKk8a9gaItp2J3oBJYV8VBGp7OoS24RnGGDNKI3JzKqPqWcSWt
2sJHRWBVkwDyRmnVI4uI+CKabveaZWLH+9KQRALCnXwW9Rd5nR/wZq/JZY3PMlfHlIJH4lf1tTEo
inoYdTdbZuMzirTjOY626UhSWmV88h0fh+lFvVTL9CbB3A+Mhxt7OeFk3Kis3y2z7ikW+gNMlKsK
Ddsyz3dm6TrwZNa0C4MU2afm/FeabCnL60io5V1FoHGY5G7emYcCIeCVSn8CbMDvhxWjKGQrdqdA
tS+DfWzBVEUQl0rINBUFHl2vvny5rGjmsEp7Ljp6NiHijtQlHV/x52GCFgQUK8nwt6xctPzBFxE+
pgjEyDBcKU6q/mx8so5mRD8KUqgqc6Ve96G3YP9zP9C2IOa8idJLfnlWxLjsAnjVoIGWp7MVnS/j
bbI4gMHvQKGpKnY2FRy0q3qrKae/t1WrwkLqhDMazrmZd9Qheipaa3wihi4W3tGzBwq9Pg/sSz3Y
tyS+C/wSorhrTQpri+xD8342FGjpWNXJ0iRzqmav+iMySKMtQm6r/VrhoyRoLqW9hGHkeqGRvJMj
H7o2aAjAmgut4Z4qVvYC0amI1pUzpNObHr1zpIws7REBTClPuBjge9FGOXG5wsjEEm/OtyU4iCz0
DQAA8T4J+gGU2YWDRgzC/OQm/YOG4PAFea7JnWYB7GfZ1Py8SxRIJpC45uI3SQY44QpNllL499NB
ArCK6I9oKWYfDh4aA+YeBWwnhMi4Do5dDBEZUq+SpbgzCE3Hf4gbhzAZnsDNG/O6bGs/2JSIyU5V
EeGRjN4b9VYRyiuAmsTI/hqUbiGhnH0jtta0Sm7UZ5q/Eb+sXjmd15P/rShs5DH3xxWIc2REl/m0
RhLbYFosnXJiXyXYJdOK0qj2wIga/SCenp/3e2+bdsgMOPAEyBifm+M9VCB5QxvSb1v6wV81X9BD
3xO/t3nqc38XcLs9vUFn9Zz86v5fY/P7u4Pnkho78cooqAB6JR4mmL3JejctwN81iBqXvP/QV+B8
I/w9Go4PZNLfDDKmaJOmLcxAOPQAxsk303acUIU+MCBHIlhytGEBqQYrdt+PQgj5Di413p0DTSwA
60mzvSPA22zD8w94y7YJDbZXX2dMuSxwvKVB/X4PjtestFU0pJ1+ent49BP0RHDmu9CJvukuDLCd
nGtqM4JNNxZOW3jllBXORuxY18SAIvVgjn48Nj+xS1FQtCGfP4SNmds6AfK5uurcSUUrGlw/ERBZ
WRTG/NEPEga3PU9tihmOWGrJkKGDXo6Ph0IlrhlksBZL8nI/EyAqpfcCM9vv5cuTUrbLodmpkl2E
o0SqzodZIU+9iVyxAiIHvU6xsJBn8oL6pUs805WQVPl9X8W99tbP+BHT5lWSwemEdRtmOQiV2FWP
dVtUcs2irR4sA+3xvsdrkY08A4W8te4mQW9PRtRqM7YLFoENN7t4lBu2b4Z6FV34Pi07EKRIh6Xh
eHZQwxQmpaWgoiSpaKFsD021UcFeIUrxGKr8NE9xpNave9h5iXknQIXijUcdDJHAFR8LENspIBSS
+j5WiW2volc/G5CoipD/K0zgcj7YtXI/3iuGOn4ENJb5/QHSSyJ+eSc7K+/HXWqDl0bVdP2SYOah
fT0f7GWjldx3iVqt3Fow4I/fmu9H3ln2vEhUlXkFjCns3+YjvyhhAIiL7b6ja5lCx5S+3Vs7MNzh
pULOEqfqPP1aBadwq4eHcbj//tKyAgn4sV9DiWczevcMNvzcA/s8Ik74dTQE5FdJ5S24dguvQoAZ
5BzMRUZCMve9AtjYRNfAMf3v2v2BJYMrIQAJsWBuTy7s7iMruV/mWsdKIT8222LFlT7N7VN5WAd1
o7HrkZ0buZN5AzO/ozn44Ki1tBnxa/2MbaAfDdx+qq9maww2X7dNQTRKjTZ3OEXDY0tH+rbnbNQ9
ZveeDhxzRVBcTQa8KH+Hts6flGA3yibvU89+qGxm4/rM4rpFpb/oGoM+1txkpvtUtUg4WnMqhNST
UkOAF10ri5EX6Vvh2Mz6r/ng6+Cgk6xAOtTobAYGymYc1tBsLyKaJ1JUKgYkQ2dTBCSGhyhKHuWn
CZXJlhRWj+xLlrdiKIW89p/GXGipr6yE8n9SIt4U59CPPrWuDCzo1PDqsXLhc7cp7HcOtMbED041
KAxNc/lm0j7UCGko3EPViReJQxcMJ37MXLhGIjlde2t2W7pNb8eVO8fbo+NEdZ0Jn7QsmvXhglGj
i7Fkze6Lch2FlakY+Dk3MSvn3QKYKWgm10wZRf6QnJ7L8jGePC2rw5Gcib7VOHvAnQM4Pem90BTS
btn0265yGKi6JdfYn6XvGuJoylnuntJSksunNdYH+pZfb2vs73wT+1SlBV61fSoorczN1YxI8oMU
cNJoCwooxItw2OiWE80T/QSTGBR+kWXS49h44A1HF1NGxuuFFqeC3i8vg2bd1buYYPqzPglIY0SB
Wxm7N/hPwixC7jeDdzfeN5QvhSFMaawMY3Rx2ZGXnKzSqq8mRJaC5aToRH55G5dUReS5WmMOu2Jb
nhdY+8loPnxTWWjKHOhI2L9+I3ey9SDoZrfVJWLuV7g3iaDlvUX0AfkEy+h4vJ1OoUqeeI6ti2to
3ic8fKjR+CGwzhmWiYBboYjXz8JcQTD3fcm/5DeeY91UczxEKfw6dzP/aAKkNk7AMijE1w3198/c
S5wTClzUvTbsBpV4s/U03AuUliqm9nJ2YcCwH24E7OyPx1yC6hEcCbZm1qNPemZ3mwB7Ebd4Ww9S
5i/BHix8Tl55D5hGBJHJT2mJUtRtN9SX41wec13XAF8G1TxZGEjU5EWw84gMiT2lq0/8XyNZgfJC
zw67CCJIUZrBd9WJeRfVgBgEIvkceN5IwO/tvPIiRXMJvqPfOR/3O+RKPNGSTZdAeImjzlBU67Pv
prrdtXdJgCnVUMrgGqi0cOp1EdNfmwrUsRhifK9nYYZeH93fs9m5c2WxaAbgXlDPAwUApMJSkflg
uCIjaYI9gy+edYtoqCSsmJASOdNf67hPZVLGizIEk1FNOjmWUvOQG0DjoHklq48kCmyP0hNvV8Y4
F/1RpTuTlMz3FGfnAE9fCzoTjCYh59/OFyl/zccEyzKydBkEaPXCsXO08/EvTSqx4vHAtfbmjKbe
UONeczpE46S4sleHxLb/qCtBwjVxGV7IzfzJARDCGJ7FRUyxWVAvJp7apxuTOJ4MChuWsGqXn6j4
3+NJrCc4p6ht4jCYALK3OMXu+bYXLjzkLhe3bbfcurjcucSvXpDLrY9Fs/etE+tOXtwzvvTNxodU
7s+sdULmdWbuQ5QyVGz3/+5CsEtxbL0vpo1PCoeAmvWK+teUls8PQ8KqOdNURHXj34hbAyT2E6Jk
AkIlg7NWmazaGVcns7GqJoAxnlFuy9dBihVrjmpvTlGw3X3ILc7B4/uEt3s2NjsqPV983Y4dYsT1
hagYNNfpXqWdIqGyuvzwMHN8dzOP1mzofX03kRSU8n0L9CnzSZOVnEvWs92IVZQHO8WGEllmO1N3
2kMkq29qquEPZI+G7b2jIhBEpClZGRgFZLYNQYy9F3aP0K86g1nsJrYpl04oWCLwj9xnhgH599fb
yoWUSmSote8xlaQs47Jd976aChH1UvpY+rUmIuk+OvjTgSztgsAxIp/DQXOGrlyaOIy7/Pj+54X9
SLTBs6kC/Q9P1V3bWsFny8wVC+EWv3vtEnYSuFS9pcIwOKJDWyNO8qmcmK1fVXBtEoDIdZFcFUSz
VBdjswwxryk7/NQzIgrJ8k5saRoSRuy8/GH8mOi5+yf/IS1Ut0hw3n+V2DpXVRqOX2LUHLlKR9UX
Ec6sjYih1gLSnQ0vm/DUhYWvJqeS0+bmvfb5qwCE22uMMJ7oFxZf3sUVouXqqtdzvt8BmyAMP/LI
CkXDsC3ZHXASssq9UyJT3pCsx4EPNU4kNu6b8ot+Lk38eoPQAlBTDQ2d4G23Dnpk4p3hjm7ymkaB
Kx/ozVJo7eEcXOaDb7kvLnS5q/dmarsmq4uePJ9vp3UJzQMPBTX0iZXBuhzTJ4EbWmyBuNJvexr5
HL6AN1Ijrsf8lvxL/seAgLnPJ7Y7WEp0+IFE/m6qgU7MRzXjFVyWk9Pi8yTPDKTzYQ/8jkjkjb5/
18VosU4qPbdkruZ1UM15QUrKVqh8hfhpFZa+rMKZoYx482BX5bt5OIiLTNV0Qz07RQhvDFFTqvAO
Qhg4paGThBsjnNZY1RNg8xpixrHfhI2iF/nLUHrt37QcnK/MfLheEKtv/EQ3orrsAbYGyI/ADf1B
1JThgnGDRE+oBBtQYTG9NtokyBcl1xHOPueeFzy8uBdAf0s4YJ5atU+f59oYh/h1zMKR/4KeVTkC
71tCKRsGH3tDLJXJzWi8J2Qdp41CoQcVhbDiYUZH2EZs0jPxOa4sG0dD/C/7y4Sp77fQQtUscVdU
Nh+a+pHw6RMo+okz0MGyjaBVLmuUnUX4M9VgeBJAZZMBoKRF10FwCC+/cg1L9OMMhd97puDAGgqN
7l3ndoglcmFn7tHQZHJwCI7hJxGMeORWGxFaJpcKY/V2alb6y90bZSk3wh6Qpa/t09l6OSQYvdKd
iVd4S0Je7Xx57yUBZfF9YmjGmxt7921gWk5ofEGT8Yig3vrHrkl6Y4R9LsuA6slNo+iLSsxV03yN
yuHenotxEfn6OtfHX4pPDOgiRALMNTLZqV/RqI2fv/r2FdFTlAkVvkmrL08K70+f11b9umyYw8E5
R5S+yz0i2xvns95BJWvYF8Ft7F6A6tslfvvEyT7HBbir6w4mptVfhrIfM0mxF5+EzmsoA2BYiGT9
Y97Uro2f2XLvncwMIcXCJvgvztBJ5z3qQRnywx+Y7UX5HqIuyEEY180kKH9+lPIN4LLazooU9wkB
mKTTJ9sIEDkTuYd7S52rIMxejvgdtzkDn1gEXXuLX4n5pz0q1UdKF4w/wcWfQMvuFrv9LeDtHgRO
C9EOLM5BGtCvOkuDeF4JEweeyOyYOqP5UxlV0eywymimQpK6SwNOIo6UEOus7Y4j5/Sk9tYLPIIe
27QbGErb7R1rfOsst4OVz39aKb32qCG/cKXlZvT7kMHFGWl8snHVce3FUVwpIL+GiTBNDAuAaQ6D
h+s6N8IblVuDWIoPczr+j9gxnM1tcWd3lRFCMOfRafl+p6v6aqO4blD7IfmgETijgkh4Eqm5ltWp
Ww3yBfYA9uuaeByYMkLNV5HhjsUBcLooEj1+miHw5chr/ECoX/ch59FieSN6pOwJs3b1LX143BWD
tXDS67GsrTbrqYnC96cXtgw4L8ylhNfI5dmuBn0qQTjmAWsZ/h4CHnDLv6iCXZ9zevswsac0iwaE
qMd74uhIRNv0UxVnPwTfyS05DJ4oaVhN3xZpXGEty/lKOc/hlBfYcDcDSDg0AUzEVYBBw63Z/tqn
d/gXh5VqPZRMPtfxqucWAAvmiRGnck0SULFTRrXxj7yrLxtFCf2shJ1PyjuakBcN8zY4OKLcR2Vi
U2IGwzX5oMnkqNihp7W6KzWNrHDSSAbfdm+NZD9CDSy+M5EHV6kuZq5UdXwRaUHmyUVeCjQtMr5v
cynjL6UWHQLB3QRgUEFpSIWmRl5TdwMeAfk63yaeVnq8+LUw2zS1a8/ruOAqD8sFn3HNklfGhvRC
5noydQui97XHjxax/S8DRNEQ+kmeJWkO2sULtYVXd1/7tfHEoR40npC8B4hWmfj/0gZb22EetCbc
1Wq7RaLEuuIETkt3Vj4zr0KHxKHPm66FzJMOqjcjFyl+VsjYTC67gsm5AEIxZIomDUbVySjPHsGv
dPAKaILJCrk2AOEJxo0QBsnDSIYfB3sIXHtr4NVmDr/6sWxFINije9ni9M3oJnPnjeu0OFOUZCEY
ZymkwZvDWoh89rzJP1pi2yCwZr0c5dyyNX2l+6iNoPuxls8eCKQsiOGHlwJGSljarDX/sf2OAHW/
2klqot5MPlRAOcQtLicKCALXDIiLf5n18WYbAaIt2kBJcQlaUwtU1G3Jd8HQzkDFaI9dhpwkharZ
kvmxS0VzpEjafMGQHEsW1oaWrswGL5jfpJvWzVGsSMe8fkldXOAyblBBzY3ydLlQLofCiP3cKipQ
nkuEu44kw4VMl0mp+PvALEPQMLEEPoIagYhRaZYpymGBhwP+gkaYIGPPYEmFy9+O/oYzk4ZckFjl
ndr3/j7Bc60yK/hEN2cV8uxF7XSDRAoDo3EUSi0nYPrIPAu+KNtA8ppsA4Hj9QFxkixteDSbTqV3
2V0d1v50Svzz9uYHo54vBt5+dKyin4q0J8AMsFoykdmEuT0LoOJbvxgXkJjJpqHzn2BPM2nN4oPz
3Vedg1swpEr34sE2L4IJaiMewgQf8reEKLJ1FCjeXvsEXhU3vV4CrN4T5jCoQ1wmqBQ4JHYlJmBt
8ZUf0tT3w0sgOt+k2wSpQCsHCMOKpSW6EQyOPF3orODGJoWVjCPNBajzDmURGPvQ4kWH9bev7GqQ
Bh0EbbHpoy1TIaxrLsXnqIcSZUaQ4D/d4IshqSJ70LHVIOw4kwSz39+R3Gvha4baG/42yQrRef81
2tJ6mb/ADHyk4k3wMifkhUaTxc4pk5qe92QVZvSSgufDxodcn4dfHIXIvc1eJRCpy4PabuCqPaIR
DUs3Jri3pVeHGk3Es5pNmUFQ72Pzb+hwpT0rEHhd/wNjY3HnWkjRjvycNfeCHd+pB6m1uv1s4/fq
Vta69P31+y3SsY612wS4iMSvRseuSAOjjofU7wf5R6NMG8wLi9c+5hiU0R8fqmcbCDNFI89d3VVz
kKM7TOAo6r+kQ43juoka8f6aRH+yHFgnC9coINySzykJHKAevCb+yClG1xHMdICqjgeAMbWgzG/l
xH2ELNvzKRcJHoKXVeR5831VUR5EOknAP6QgS8DUbAoI8OB/0DkhWfDAD3bJrYJ6pzuW7ag63+vo
9KqNdiqK91aSI7lsVKDJ9j+vrH8gkYhqa4z6GsjnAc+B13a2zsJ42AkNobkF4ajlzYEZs5WZkbUG
fEjKV4wh48VyEwYaWV/iAk7C9VdttMvtqNA4WfvRDAhUGAXcHg78iblhcVesjMVEg3Tl15VR2ejR
ZkzmY+fhjvyJEa+jxXFfYgR41bUPDvu2R/bDXLOUiOjWMFmIV1JBJWFI53XoEqbGqvR8NXwCwm9F
3n+W198K+eMNrlfhHr1cmev5vtUVX97EfcY7zzOMTDqoyp2ovgPg7gc80O5jM81bG1IYg/jN4pfz
IaL8u8snVga4s/h/+3iXWPEezFERhwEV9dS9nC05q43G+9WRQzi40bfTD0GtMmgAkRPmqdh5eEMg
DsvgSgUpSMfXf1rOhozzuM/pAjEHl+FauU5sWJLSitxbcZ/QUFYz/LJCx6D3qDYdCeEstOFLylXP
TIUNf/SEh4meRBjXHe6r4eNqzQjkCU/eKGT/ZjktecxdZoYVKQWKOi0foRXp5A5JtnF76VC04+62
3K9quWg/ntWUgRnG/yw1u9tiVd0XNTEj9QvN8FYzYwkYK8VoX6buenLYBoey5rRZ6qpHSTVtOM5r
biUMhvtjaUUklPEuOJlqJQA+TJk5Mud+v28bK/cb6LkUy9i33yaJkAEB1OTDzOp1FrEi9KcrjDtE
sjx1Ljo++vTLCuJuvdooUXrqeEvNS/sN9XoapfsjUR8bEr43clnyseLoBW7m5NvE+rI5oBVgpLXC
LfugaZfmDlWfnqVgzfN4xNJw+EUhPTYIFlClY3XTHN0773oIiqGmrBJVwlq9gFVjwKVneIYfIOfX
ORWctMKZAruHk7HgYc2NsYh6E6M9SSuSnw9J/oZqTTlGEnfxAqW+ui2a3GJbR1hk+iqm8RgBr3lR
uD5RIfHJkwV9YgT86JmBRFbb4ndNXzqsYuadWPSLOVWMgcPiuKjUdq6cLXPKB9X2rKS+m3FwU2Es
epuYf6oSGrxm2ML4hOFBOd3rLvYD6+1WeFBfqXXwHppUQ1KzvCR/spgmGM8Iq/RqsiapSlP/7zJY
A+wS8LUCSE4IBILDHsvHe+j9uQWRQdNk/XL2vJQ30WFJPQbSat5tBcm4A6dV0dM/qr6gNsBEaAAD
jlO4/D/uPt4Qa9XLtOMEvOffHqPqJHRtn570cp31FHjt3iGI7s+pqiHqrrX6krTd/ifWR0psk28o
3ZRtRZEzDxuhqNtVWuDXpBskl+AmjzdaffXFhOKpkKwel2KNeJqeQ10aXKa9ZcmVon0ZhxzzDInv
hxUPoCJnjMGS5ItqL3vPIonS6VDxouZLYlX+9owiT/H+h4vJxIuL7FIyeEGh3cITTXxPiPkNmkls
mvPZuxBC+PiZZyqkCJNsJ0sLYaqNPFdnRU7b/gTlvAzd9t7EdKo33qIrtT4BUSrHQg3ZFbMbw2zg
rJuCbSj+/tFTDviy5qJXbC/sHmGK3wW7M0+D5NXWJbLMmWusypLL3+cJddS/yq9okLZerzN+v1Hb
rcl4DEZLwgDjGjgdwbsUSCgfPTAVnnbfWuuuxX6kwtdkVjlB8oc3OufDV1WsXMdh+BkQLeGdJKmI
nZD4Mv7gLSfDsYlWLBXPeD+KEUmJ866VqCEgdUbzAILlnGgIVD6bqrmb1GmBT65R6ovhQ7dwWUif
/2fy1c/FNrZRMZ1xTY8LEPnC8RFwrr571Q7ygazgH42L223P3r7MDqcyfxF3T4TVbSQyq3FaHsXh
vMV2Jt3ym2oX33YyPnbfVKftdvhR9OQOGiSa2dVy9NA7AHXXPIRgihgDNKvA0DsFuof44LSsNY01
3kXHwdvtDTEDRGhgZJIrFCvXr0ENLMjP+dk9yIpf1W3TjYujjVubL6R7kZ8mePEZtupDAolXcJGj
LV1LcATmmZEO23QqRav5JYkiSbfQvFwVd5YqWx/QA2aUHHQDMxP80UNN3r2nlb28ZPofoJ4S86Qs
3UZoOtr9oedw23tlqX1nu9ED2MJxZi0GQyVWIh6EK3FEN7KLAMfe4n7M6WBZ0TzBPCl2Vph7uMv2
9y8adPbE5KagtKQWERDSXXiN9MIDMfrcdi2lDzuIHUMhxpoKlzvYSeRQr80NKOE/luIWHh1uJ9lU
Q5f54fvd3sp0MAOfCOTsd7F4CIGfq8s5AZUDFBdSqfD1lOnzoixpHF33DbJ6GaAcCAhCe7o8T8QP
chMI78XT+R4YO5+0f/cZTeZTUe+lFxZHb9KslJUNrv0KXlqKSJGiqovYFeKGwGxovx6TM2BmLb9m
7WNE1D0xiEwYmOgaIpbdi1YheYCVEFkqdHSu1BQeyXgEkpN0y+glr//ucKHGzVPh6BNf1AqJHuHz
vtwd9yhjn2VAh6tE8sE0iq/LF+uZT6ztgD/e3xXzPUK+72IqjzDT0cev2xrAgPjq/9U2ZZ1bP2Mu
qLcBi1UQ6X048/cC3QqvW27EaPcwFalIYQeyyqEbp9cM+DgxdCgz0r4v2VfHyMFZs6NLNwYhJ7VU
nTqvJsbV6PRA7fJdaOcI2/+FudxWX6zGS8gDN2Wz5ieIISRBguwE/Knjuxd6+/L44pRMC3snkq94
6w0JJ5O7fkPjXdhNzW2q1Om77UCa8mO3wOfjKIrF73117HyEjRAO61p7Oc8aLisOV6hdvAGR7P/L
rbiirGHxKTkgfpYSy2G2KB5+7nl8nDVyNBsEsi966KnCRYedWF0UTCaQES25UWDTDIVIMJ7NY3Dt
t3JGPM+CR/bKEVebD3tM0OJxkvTdp7gsC+xcEP0XfZI1eywKysx4/TnS1LvVL/vbpijMRzTPIlJB
QiVNfD9tpD+QLcypAAKKjgsQn7GqI+PnshfyzPEuhApO/mj4mMMc+6gbcQQg3+Oo7tlY8JJyp6Cx
SH10YYTjhNTvIBTp+vr9qyti6zwDN8D7aQxqXvyI0E7PsrafpftmLKEfNA5pcLbuRJgQi5cf8Lof
qM5klibUWdO5MlSUpTvxdLdqs2NdjYqFnRyxyGVA5C2KKvEWfitZCbRGkUByQZLZZI8a/XsIskAu
XmojvqGpzCWeaXWYRGF6q5ucwdgD5rpFJvxZAHuhSRWbj7Ly/Hgf8c2Rtymb5/IbgG4nD/I5JMHx
4cz/fR+qDtOe+xfG6KezQMhsGHlJ4tlm0GCiTp2vq5CoV2jsSI/j/gMNkCw9Z6aB34TttoJJnXH4
Vc4vi40OdeUoW0ZZkAxgERJAXJObKlxGiOU90xdpKSkhJ8UwDM174Mt4Uo8UQnyCj+NHc0A9DdAj
tvQlDq3Xa3K4m6+DwWJaia46J06bcCnZ3LZ7S9xHFDfpwkFbI2y2Zl2KKc07vnDOjFZzF+6CALPV
+yH2shGhjEyqkgI/1vUlNsVYzH2hNGKH42quhqIKWJYINZMaEOlk5rs8KHQv68yoDu7XL8uRkmvB
iC6B/O4xC4K49eHhsfJx7jzsJ82B9NV6Xs/gTFA3Z/BUynHUq2t+6ggL1fadVhcqHi8e6QIgO8wh
0LWWSlMA3/2a9J4myzqOwKx6NAXrLF79qrJBoTUCM4Dsfawp9AJ+iqx29iGzLuW0Id4bGCMqwc+i
WrTqPOZmoDPOQHrybtEd/fIIb/j/esO3vHdx/Lbbs7hyDFonQ5YbOpYdxkznDYLuLPrwBYQVCoPZ
oyjXxTC8FN9H7Hkk11AfHMA310OswYLheOhuLW3jDJbWyWIuEb5m1rCkvlaY0enesgSiCSctAEtx
ssysr+N6qL4eEEDjm2I30N0NvWYIyzbxsmHrzMNq9KGfRQdXuSRK9ZzPkcfo+nTQXsIGeQUHdKtW
4qSu9tXT3BqG94rj9iRY0YEGESyz01XPKGxvraLmnCExqzEioG11ggqnNGoXMMX5+B1nEJkHYfly
zpNFRXDKJIQOFwt1RXII08gYp4wIT4wFsfP5YBEdxwXUS+BFPhnZ0tpPVNZSSuamCPDzOX6JFuRW
5ER/ULHNe7RSMQ4dreIukSTxedXtwiWoHS9bpT5itlAh+rgFR6qPK1keZGfsRBne+nIcqsWxu8H0
6AChZwjSiw61r56OfDK33N0GfNVDNL6TrGgAe2Gu5+w6ET4vr++8vBPQqCOd20Dsq3/8xtlAo0yo
QvtkP3/r+A9AvhxF39LvV4pxSae8N1YlJiBNXVjFe7SGZtKJyb+tP7NurjzrmFrQxAaFHCFvPGYa
03HU77KDxZ9dZp5l3mj444xMTJSvuwxKFoUJ3TN0Gfg76qjJGUoc7d/o2T+c3nA3Jlu0Y6iiWy74
eQpGMxE4zSFURl+284eYi/KtDj473RrKUmiKTLY563tA2ovly36irFLrYcVhJCfRwetefjl3be2Z
R4XOtukOVf1pmKtIed7qhzlLLVOGtDGGMrDDNBOSeKMtvD+8FaWcS40GQINmEM8ePemEqeRmzSJL
yvc0u5Oo8oAI0UMCrPtC2+hp38J+GJNiLkeYybflIc5yiDVlRW1NLCn3vEJO6e+6Oz7o8MJ11yfu
PBie0K6lyXu4cLfPtztZvTH6scpSreLpiqo9fLPOyRJZN8l3gV2hKTTvDeQBY+a+4ityuVcV3v9b
ooRaNzX/8vfCj/J6lpIriiozRku4avBxq2dSGr59MeV5hUjGeD70fd1pDoT6PYeWlRsMQgVXLdpy
v71zm/tpYgtqZEg6iEzgfy1uQyVrLMTLhgGdF7AfIJrVae1Ye3kYfzOw40bZTileK3IaCBGV3Uo6
o+9KExq1yIS0XXonbKMcZJQkEg7sgaIK0K+NjmbevcOK5qhyzzfCRPfsgI9+3yGCzTpnnvrRwJ01
8VlTAmwiS4k245MTecsv9nY1v2Z3x+sa7f3GRiyPYXVcYJLnbbopWn9iMZO/QdhtMV+4nfaWPEEW
oAk1MW+P9Bz0JEo8Bdq0UzhfpqkSAcnHmMImdgO2yT34VqwKOnjNlMkmN3WYtCckgk0nk29TqPvZ
Gm1DJ9IbInNXSS6uOx2QL0+onVLgGszZyCPeWq3zv5yUST/ngAwEkXPmS1EMsrlGa5Kvf6iick9Z
Zz4ulYb4Llr4OKgfzX03oKVQw0gfUdMjzxAwVbtoJZPTnP+GBBZl+C4D8l0sABrSBpzf3xdC+fa2
cWEIkuqc2Bh0jmUf2x4VPwQnkn/PneDaOqdsc2Mb0dLUdvzrJnoLg7ryj2Pi27dSvQnSDZ3WaVcz
/VxLhrZY9pkGp3xbyfNAFv6hgBMan7SwCR29p5U25DfXr2inym0JvxS/dv3AlNRTpAC18Zbuv2PB
ggA4eHElfsyVTO8DhuyNfJoy50vziRzfccie2NHKC7L1qcWOmvJXljryj/FHuBmSS7UQznV4wsO9
Si5i/TVKqHs90vM7l+BOQGwkSZ80U/clSJIrw62LzZd5dYkqvxujgND4XPR4WCQTA7ElJAE6pLpw
uxBKieblWNvjVtVi9LsFS2rfQzqQrrA0V6vimHMiCj8dz0nqdqTXly5ntWGDQ9HBDRfb1MNp+z37
m9u6oLIWr+mDY66gG9OHhC7z9SPF69ni1y0cS+RBSyttt1MMiMwqxM7YlI42no6AVTDXGN3TOZLa
00iyKqhX3WfrkFpXIcSiph2dWzXQYVrImeFqaXJaeukY7TO3SpB7cXcs/9uBPfig+biJBOMij0Gz
JvrDmgIR8Df7aJBPBE8ZCe87bQOi+5E8ybkFW5XQWOhXwOy2aCjoaR+0o3efmKvyj5NN63jkSe7w
6liqh0fsr4wFZfROw3SR7v1MqRX8Yu5NyuoO0hqpBsYQBZhwTWBqWpi1k4d0lQNBsfMIXJwh5JCp
H46TPSR09ByJizSfeXMz/2PT80PEfWzP7Re/qbpYhV0VC/+RZPucUHCo06zbFE0s79kk8IF52VYb
wxqPjz7w5o9ZxSIPGQjC+clkvRnJ/LoHqD835uMi3dHmQjhEfbgAhIA3Qa4ib/EhAnlLz0mE4wDv
wYfCK/33agqdOO2lIdw7sb7PetFYpdGZSWdF2k9+MoeNdBgVIsPSWGUQfmtbNyKgoL2Hbcz5xrsM
OxWRUp5SrRBukmUaRHEY0nRHnQaTBqHHZxR/V6rFQf/CZbEUP9+dk6s3hYBxVl9t7RLJOID8oyDd
TKCviGwV4hQJ1pPJi3xojgKmboW94fGPmqHL7HywCoElfxsvYmee+VjpuefTaPKQNCZWv2+jEpj9
3rb1I1X1QYElO418iPZ417z37xzh0Xw8ms39Cajgx+hGLTrLqt2wPZnjjfvYw8EXL/1ocI/c2VFv
gcosV+8MOIJCqj95WaZlfrGNsWqnqReCJ9AWwcRY8SD/qqEoRt3Gk62K//hOmn5NwJq7Y/WngeuG
vNqmdmzaNcC1/HuAfF3imMHh7IIiK4xU3RhBrlHcb/aBXLG68azGW+nVYVPfxp0JJNsqgfiwivtx
3KiMN2XboWevUyq4ycDc26rIhea3jK2pHSaTZVzTSqFlG8hQhxRARGSDn46c12QojqLIBbbH8gzF
D2G5f0ksxfhxE1Le1Sg2ERMtFBZ45jlP7wM9KYd3LI3ouq0gJ55Fs8m9PMW6MugxBqkErkUUSAhX
K6wVibcJVLNS+Rh5xi8EQRt9diFKIyGS/l+2n5zDmFRQ67GoFzfWL5fZ0pWxHobrSa2nKOazR8gU
xwjhtx1J2T1Y4bfudk8L/EYoy6lS9wEB1RyhH2vFON9ZXm4M1Nqat6v/kivAftLvyatgwwUt8CHg
2rKPyXKUPqie1R4j2UlsWbknE2Vt3AGKL9QMa3iuHcBVcwMnsYQJBJ97Z0k9WZRdTXD1rXzfVrY1
ko+Cta5EeedT2xKNwhvn3lwuS33+de5s2/HZxBn+aaFCHG03udJQujY9Dhc3psKi4uQfLYiKfQKj
17jyhCoLX75zb7cjatTmtwY9OxFvE7pyCSHShyGqApt8Webrwz4Lx4OH5gBJ/gya+sspYwHxErMh
WKjCeQ3ZmK+kbPf1Nf7okfQogTEo6Ks3i3csGDFZMlcRAmfGzkAUonfR6gGr39yaRUXBc2rUz9oi
v/ZcgdRSkFvVTqPwLzkaqGr0Xa3y69r4qlgVbkeS2RsYNWb4vW1IJ7YPa7Ac2af2snMdXpdfBLU6
eXbKRPMsnMjSaEnFaJydnvPRsXR0gZ7X2tc3xgZo30jdfrxZ90AJQmdRC46uUdCcXGhamkWun+ww
OPP/ZfHzIx0WgdwSHc4f+oSoO7GL7IDyGF9P06Wjhjuif/9aemTZazpoFrXhcLBnQRWW+LaqU4a+
+Fxd3CXgy0MRngVU69W5SDckAM9Q6V4E8VaKb6TtuWyVlqCkpfyxRdeioFCLlxbTYLrN0DLbrYgc
NIN5ietpvOHYAYYSvFnWVMdhNLxL2hmD4cIYL1J65npJCeulionfVnL9wJJCa2kYdvivKVTpeQvc
f0EJSOEzzH79Iq1J4xf460EmbicyoZEo9rsgTiOjPEYBSdlj90wa43E0+8CAM/Qo5lqS7BwxfIpt
eO4UO7FBsaXWiuP9InsXYpoVdS1SuHtjjWKqOtt7exzGc3fJPcXUdlFZvOGhl9LFR1Kt4x2LXlbl
Ug32TgBXg/+Lx8KUMY3o43YRtISwMEs+/0nTmmrJu9JdobOssJ6mOZUh8XZ6ku3xOHs0iMgFNrZz
b4SVPFPD2TFiccfNlnrfF+nGk4JPGRo17syo6vrr6ixc5sfKyXB5dXfI70zVtyynI+tkDX65cyR4
Le6lIlkKMZb1hRol98qMaq9m1wi5yrgNGRVhmQmemnyN2Mn89s89BjfZ0HTfpKMmRCn4PsPAeSYY
vPv9YEz7owmQVRWyO2eCV9tl1YbexmuyF/73K8OhINFCtvTiueiogAGphy+NJQovcZoJxNbuGIF5
4mhDuIet4OTlhW9qlLaqgeZK5mlh6BY7M9wqjqrD1HzcWQ/vVzcOJPkJi5d4HCwgiMr8F+YpT84+
QoWC2hyAWTKLevRWMQjByanHHt1I0sVyKmo3++KqmtaXmdh071NdPsnzr0rYmv371ybr6+XFecmY
li5wieu0v8ESEYak93c1u8KthrfBDWPjxb0FxyTflZbiuRUJAZ3vp7yI8X2jSQPExC9QeDnVglQc
qS4dIS1vY3sgTWAskOyrNsVX6BmUCa5t56oN8HkJ2AQyQ6LYrzdW8hHHLxWmQnt8gmtzJ9WS98o9
r0h/JvBRVX7Dms+NzJtdd18xAxfFIw/c/ThQtYFLIg15XfF7PN5LCVfCcnB6WZvXZogQGKN5jcXJ
IQDMat+seV0sa0xFNMxpGdopORfZo8eawa8HZBSlUEu529gE648U62t5Di3syzA9uHd8NcVQ147V
ChcjwduMFp2UdmdekpjnzatcCiTei2xD67yIWj0u7KEW+f/tztNXJfDraDgMg2U62su0MagPWiJD
oAqDfJLfXxCsrPgNA/Xk/cLqfvLNBqbvfulkOd2gjfEeSCteL7bjaeXCJZIuYZwyByPgrAUTljb6
/jaLp6hlkV9fnp2mPab1zn7odXqej3dHM2HFR6fSfk6h1SvP0GxE7ciK4/Je4ZnEwScA3lM4k7QM
/9uZ3kA2VzsWL0amdFkO8aGNAryz7NPdDcsG2gnUGzEasFA3DKsPzx3pZ4WwbTFm+rYCaABChVe3
dJwhjPOEuJfH3iKrEBFP3gBufx2A/KkgDok2BeF+saOBRJ9c3W8rPhfAQZ04EWnbklLntrFOkhrR
oADIvc7XlIw3aeF7I0SBllpiYfO+5n2l+kM+tt7Uwqn/0czFYyFdorz3eGMXKTe26q49cwm18c+u
Sn4bSpTirCaDohtrWyyGyK6w5Q16HZ1H4XZoAaHXlV0XJ3KdFu+HUQ5uek7GqMVnLMqKXz8TgMqH
xzp4EYPaOHWEjyfnSoohaluTpdLqiIcMUuqzIF23N5BVIwJYQLtpMUYu4rmDZuGYm9pPGntZOk13
Kn6PE1JFMMeejIBvc7BiaNAXs2X1BX/xjU8mEaXAcC4cZMPm0xndgovvWgaUCMPkGuC1XTpzloYV
9LhvaRJuXjUNeYsnaK+6nIOaKndBPyH2HBkSOnj2ipiqSsG5wD9zcqVlgaJMUIi68eutapAJHzUp
JmtHHNzu/gQgkpIzReEe7K6w9nGZ8iA8lDqdK8R5EEvmu241HvMbEE6p2aJCk/yBQSIG4b83CG1R
8NA67rII8abZYUmJxkn2RQ0AIgQxFbk8b2Ur2o0JNYNb79BWyQEAze4ej/EthmDeRs/DllLneUDc
Iz3q0Awy0iymbE5/a3MIhi15ibScmHWqhVAaaQI0gHLRI4I7aGaoY18a9u/M5rQhvrJvyE+ed1Xv
XMjebqFtx9yrvhQiMu7yCWQ56HCYXoVgWAWHmaJdojbg4sTFViSpmMnuhjr8TcqBRjGeWT7Vbm3B
mHmmFem5lRGTUl7TeudS2kSUNW/E5TN2dgmOnQtDwSOyGLE+YRi/8HRr7kUuQFqF5YJhNEn1Pfxd
l0czWqwt/dfIIT3jKv31vhPOwDh7+czQuxGJJz4vHK+t1bYkqgB1BKRdEFZ5Yd22Veiv41ZSC9vb
zccqsHPleCfrLLrbawj8VZAg8WvWRkv0TSWjA7XE51nJuztwfPpXymDok3ri2hRvtmQia/AG9L+P
atN53ddkQRJUGj8LvRfeKd2nOQDMnbXyh9Dzxs1dgeEubYpsUj059JIuPhmk4HrL4nCVHqmDKh1C
qwkVvZAYuDVWmCY1hHmfBFXvysxNYGtTwbAQgnksjO7WJD6UxKb7LH7Snuj5ESG5Vp+9oYAUZy+Q
oGre9AmD8ko8qBYEyW6WM56Ym6rq/AphE53gi3Y17Az8qvkiFnlGaGJFsH8VJHvZFJHygY3Ae+X+
xuAItIEIo61ZxekIyypL5T6xNV92q1vDSSw7FJvk6+vq244E8yLeitWmPB1hMPW9/cf2dNDNo6at
UR7Q5OI6+Nlny4EYeVhfaakO+TeUHaMGMpudeTfUGySdmdASWzJIqRxPaxpAqez7K8WQ3QesaySu
s+cM34wknc5GOms6kIQFsgxqOsXFoBz9c4uChfrWdtn2gZmEKE0D7wJGbxARNdvaLwveoK0zTExq
UN3ZZi76rtU2HaheUyOE+O7BqCK3MRNMqegxbQSn+KkliAVTWDgsdIpZC57BEi+8Ttmld2gk7sAp
rPK2yQ/tFsdIcCZXCr0tLA2ZXeHpYkZ1RyLxEVUZ9l+S4ctjlWaCt9/RWcDutRCrxyQxRewqLufl
xEGjpzxDnV4ZusxwWn8R7tu/edNTWiqZWbBON1+6Xmw8ogFDXBMxmK/Bb6N3yRhP9fx8VGfO3+Zx
4xoNEVS33vvIe3AMtEGbZVbkizRcJXlHO12m0Nyt4ZQAy17lTgm/4U5KOgU+VabiHOZnB+yGXm3e
i8yj7Jd+cA8ygZ3hiyQfeDpn0jME/o+yslA2mcTuqdQ4VEOUEMzWx0bqG5fdTW9/jhs0MX1XwqSX
h01FKIArZ9JUnSs2T9zlaUx6tdWVTF3uxJ/SyIMyw0qkVE29SNZDGIRSZJWkug1/gcst1ehLkNVH
RJifZ3muu5o6XI35iFFh3ZuNtXQqhoIVuGAQRi4V00EO/z5YOx1pea8LdT5oFppRLVZbPPBmOnGq
wvAjBVjtYFsNVtpJUgYKRar/1puWje6MYapEYgp55KNFWRxa2FRPsf/Jp/ieFy7tEIc/wFYkiGR4
Mv4i2LDeGwIbuMSaEUHeBnIrD3mn2KcljdSvc/nOr9CgfsbM174Fux0oBhRc3If3OxCF0A4csyxA
rqDuon0ZiX2rAMIJpDtEO+iaQCYo1sCgS9HXxEvfKWfPWPErSIuTg6fXd2uivPfI346QKyfqcoh9
IuNWX+A0KAWaqta89QSYWzBQIZFI7hVyJ15YQfE87d5Jm9aLSbK1kD1UmvLh4KFpzwZ9FGUiBnHg
TnTrEpBFY9yFwTNBPRnq8JvjJ+pXpn5KEVHh7E8EcxWR8KL/k0e81ORacWpS68xInTQhd944A2le
ON/qrST0cqFD9AckT2UlqY/Nr3hAgCW86sXXzCuUOyDzenhdy4nEDStn0TW+XhCuhyq32xXVXyLa
h7yGxw7OpPIQeHHiOiM8fjBD4Iyff9DRErJHztwyZH1ZEOwgwQg2GLQ48W2WILD33XGSl+vXUaFB
Cf5bdKEEVDVsmY4XgDlwKoCVdCxHcjfQhCdt7AFpvc3BeRNWATqnYggEJj5ttxP6ze4qxY8hIMXm
Zu1k1mIdYPF5OqiKq/ULAbm6Aq36MYl4zKCl7sTIURbY+8UdqjbM+YPVocCWhM726vxE7cslUF5O
qHu6Tc9v3mLDtPYjkZYHyGNgIqp6jI/Pt6T2KH950l2BASYquJsHb0mhpuBj0tQStyO8DMh52IDD
JgvN76J4kNXRz0Z0FZyup8+snHfsd69ZmY7IplnVbiOETcVActoG5zta9kyWvFwQmiaEZ0GS4nSQ
QfyUhO+MwHnWeJ2p5ID2yeAWUDb1fMKuCS5gyS2Tfop8/zAMt08Lo0WILTYlnE7iFrSZ6r8l1xjV
Ot9hYnjBtiedea0ksfe85CBKDW2vuI8kA1lWdFOJRrBIJPorkF3uYRUPmEAYMVnoda+jsJunqfz2
KwyKJN6uXG39hRty3RMMsmetVvAlry8Uprhht1X7ud4srsz7/bbYwvOkkpLyX3sXZ5tY1vS7ditm
Tm5ylMBThkHM2UteordhWJ3u7OamBEttWBgjBWTWUKKZCVzcteNFRYipEhb8F8B0uUHp4qspMyqy
Wk0rp8Mc0vEQLVZJlYtY9HR1PE0+b3QZX1YfPQL7G8YDLSnYmmssDnRIC7BjAoquhBcO8acyM3lC
AfOcl5m06Lq7wI1WyPEmarLLhoT7MuEGZHa/ybcCws/tezxdIVrRBkLcRVqAC6rUFovSiyDEZcje
ytLsJxW5E/RSNFA0EZPmBlbcJXIaQ5ba7CjFT6C+OT90pLxxjhPyK2K6qBcVxfUIFu8VQOAG+hHb
Rw5rfDfOG4NSbGxNvFfaT9+uDByzev7J5n45IV0rMUeFujTwyc+LuF9h0URxLWXS7FlIETDccl+8
3QHbuVB7hC1KTGJRK97Vju/hatIlnbPo+xBA6kZtG1B+0Mycz4wGbXjb2NiDj+xbUxMBNa8Bdunc
FWHZlUHqcV8I2smgqpnG741yRyv0a6S2jomOj1VUR0H1hZ8cZYSFHnUZWAhYZ4cn4lj7RkdeV3OU
C7jXudxxr560kAl7JuEVkwgnzT5miqX1A9xr0E5h0ncmMjDagVfA8juNpLAaNy1k4XyvaqcL20+I
Alt8D7w+9ZzTKaU+Hu8EYmqsDb3MgTGfvEGXvFkghgIvHDbkfJNd3RjGtaSHWyZ3m6WEGzA6X0oP
5Z+A1HPa3rWUPyOYWLJTWuRBbeDIFutrIkYniN5aSxYtXPpFQV4agR78zAThefXwLWdqHPtbodtm
xmWyMGz+DysJ/yBSX0XpgCucgLZkrmDYgi5tVXBWslecy0NOvxJK17vtBtzaWzlzPhTlR852+OAy
JmOskTnByyrZuYDldBd9e2hPTj3rM0q4fUoJbrrmZh4MUxvYU2eqbd82tPj0fuyqx+EOCrEhRUbA
pZDicI28C6vlYL6atAqUmKy3vzpf0Bh+6IC9KECQiH3WkQDyMn54wNHwnrP2rjcmSdvfKIn1KFIa
yWZitnFQWgBBTsB5R6FHLSG6jKFtcx7dv742oRX0bDZksztF0wgdoUeidumZnSIR5/xfh7d/3LUT
DbsA2lzO/EanwsDwwPPDmU/Z8m8XBNgBzwOsJc1ULrwRZHRh4ZFIAyZbjPX4t+L2auXG+qJAgAr7
9h67QTIGN+WPqOWMg1gfeLW02xpDrWbbQqPxfOR6Sw2VWEr8dc5IIGcQ4+ojaRijKTsEuoXPDLlV
Iw3TSOVQYDM6CGr2RcN5dbFqObDiL56G54Y3dbriI+7eh5keyLYIjvLLnqdFrAjnM4yKGjrtwsVx
lCCnHQuRbYDY49DTLlnDlVV3MWrBrUPTK3JJXne7AVQyQpRzJXRZtpxH9KZ7lBRs7OQxJBZJtrQH
0tY74dyMOcyL386XZzUqooEA9KIbkMXWhnKIe+rFmkT+ceQl2G+GxcxF0d0nPux8jx/iqxfh4vcM
JFxXkqJYN6G2bhy3bwcASbMliaQ5LFTgthXvrS/B4nCsmIL5ljh/+9nRwTQYBxtSua4mBoWfx4GK
U8r7lr+wQz+GyWKuoBRsqtaKPcXSt7fsaZ8SN43ptlg/VJGl87U/OkjnYdRVC0bH2aR244US94F9
ZD76YHUIT7cwN7q1ZsN78lju8ZLQ3XQnkuxBJmVExjHQ28KiT4egRlRs+LUAxC4Om+vUouags1uu
MiDpu3DWezJRVCw9QTl3d5ZD6ZfpleUn4MZriA1dmWu5aDuuJ3LikI0diG5N6dAs5exuU1Qz+iWT
TNTdxFc+CTmUr2kxSDD4jVxo3JeDPpb+G9DgWma7eyAPSxYtpSPE2QTIsK4XFUn1uV1bi33pw0op
l8fN2Ut41CV3yXISEivMNJqgVKDFx48WaX0XngscgvVvTUGjIacrf2az9oqy+io+6YOcluQjpcya
4j/pcZDcvCe/lKpR21KOpew/Sjk7Ejuxb5IH0ugTi0FtBY7q5b/abF8AMSrIyOM6fy2CJrv8klZD
eDdDvzVeBPBGC+Ns4xGKtNTqeV3RMuPYAcibSWZwa09nJcq3yOfbEiXDP/JPQl91PONdujR6TqPo
2yM2zcMAAWFzdb1Ok6iNyOm73+5uZTyjPxNm4TSUs3JSX4Bw/O9am9kTj3HRa8cAwwxNFe54fky3
g18PMnqSNQ+kuCXZboqR36w41m+IMICFgssh72EP3Kjci8E3vgPOYT0HIa1FrVmpWF2z23SvF46D
JOq7E1TlNKf3riP+kHz2sGcnao13UzewLpp6t1lFo5cxZJeQf0iUkZExgAaqkqcpKVacAxEGFudL
7cDF8JwTuq999Dt1AninWCAix9Vsq08ywQIqV38siuaPCc21oCSIdlILj/6y5cgoN99d3DJNwKr+
++cf9nb69Kj6sIHR+aPbm2L0huLqJEsNjnt2mM1CuKH327EwXR3E0xzU1FgDlBLwqtKDAagCcng7
H14HFoJ8zBKctNDzO9fK34piPHG4Hf10R75VhJrR9eWJfvwSKOj6uFWmluCsi4WNe17jBZirHhJU
n/UnBMxYzvMp3F6/rbfl29pgnwAbU7chpR6VZkQSkO4ruCmoXEsdKRj/m8y+fyIn2/yMU7tECBRe
tEjhz4KJ6FGv45snrJeYd7a6heIOAKNfjUxsC6lGicmLN80TlEc1QGa9yJqq8617J/CovanKCBiZ
4e3BPWLsXUXOqiP2PSMYOHs3v9oYAtYj7WsQT8hFSjv8GRskXf5rN4JbyaLuM5n/4KHbMow62mwL
Hz14mJld+bklhKnQMjzyg/C1LBpbhrIgr0TL6ospINSd5PgSIxki7DkoiVQCJq/FVE+JLExjutvJ
J5Z879KWeSIDEkMkc22xWSFMA58SOexJ34z8vErDvxDbpuLzNmnR3aSuIaPuQjlr1EFGtyt/VQ4o
axWs0c9IQVc6lh+Pzkc7KJw6iA+KJodjoCfPPXmbj6KsxnGoBSpw+95iQ35Hnj179BdxkkpSneU9
qSB6ZgVdb46fm5/M4FAc3e/fZzzCooBt7jTYEPV85rdjEHaOxuh3kqbQWggx28JwCXfP5Elycaou
J+unhEijpWKiDfiMN1IvpEEcsuX1kHN07LiNcr+45cW6I7QJVoHuHKLcmV1T5AlmqwP6FQbVi1l7
ngDbjB1R5Ut9zC5V7wqnpmLHvHtsGJHHd9E/SMimUM3PXgJz+4Ls90DfsjXXEWO0Gj5lsNWtHBYE
1AQHGRygLd0ttXaT785jPwQ8cC++X0vAM0CzsRqNQjKI1uGw5S7o1VVrRnWW+MnHu254Y4kYLNlJ
hP3+rHzJPINF3oyCgR9rCKgePoRkDkxAc4MwJ65cwIeKXPv8F2Vbh0wwtTPR2FnnDvC0eyodwiYb
puVbaWBU6dyiqdy3JHKmIadyw5jPSZL8kz4BR19lpWJMS9LHgLo/ZAmVhxY6AQVM5oiq7GucwrIT
rAeJBvXjtfxyn3pJumDup0egEGkeQw5m/Bh6Mc11c2IDYPk2pzy4njGR+ncw1dra1ZJ4HrTn3Bg+
CoI9znDwyBRUKS8QC1WiB4vmhtK699yCKXDGqW4iNKKuFOaUlhAOwi8pRu3uOndJmgUxSO+ZPnXL
WxikMOnMxIKKKp8/rv2thuWPZNlneOBrTNqMo2yRe3qpGbwW4D3avBYJIefFqzZA/IR/W6m1EBhf
7IJtXy/Hwd8tQBHEzbxX8AG4FueQmp+GEOYUAgJ+uOm8D6fVsU1u8qWhtjwgqODEnM0rOiSNvJyd
8PrUxHBtult9Ns5D2BwVhUsqWaXOyBIENAS8rF3df7Bfs5Q+VsMF54MJYrWTHvnuXGt6pu0vRveL
nzOz0nWhvnoxdLYDscu7pxvOLzyLTz4UoR77qoi97lQvkrAMHlH0JrrXS9lPeu7Sv+eINsQqnxu5
m4T6EvlJdGDViyZD+gkPzNdKLCidIjXpjOnmLAh937jNmI8fi7aG7nNhwbb8QjcApHHpUDzBHhqb
hppndrK3KodydI1MpqmN5zsd6Rgv8ClDHOnUD+OKGl+PofLa2kFQOZoSnVCGpi/i2HYMJ6sIrzjj
IQwamRKIOC4fBJQW5ZavT+QUCzNjgvcJTKjsd72QMRlhcsLBZ1s8od7Hd5Gf8JznMAHzVD0IhJs7
UjtKPqRDO3MABrYD71XO8XIMQMpqM5vT9bXhChl4Sz5p8TdY1V+kA6AWYH0ucYBYNGXPXkdjbVrc
axveEv9grkO/soAMVec6hee3O/SGb8QJkxQZEoaZ/pmvYtkjC2q/8qXX2Ah13GhpS+eLQNNrjRkp
Ipa/a6NVfl1aO+ajk922c0kfj8CJJ0Fm3PJKmRQyfDRk8ETxRtuUOqjXy7ZIHIIwekZMt9HLETNo
up6WbNgfFlsVW/QSvPVofEktXLMHON8LjPESodN+c7Gbo5vKFoHgaV2HBT8NbkVhGHnzl97Ipp1/
39+Rah02kiSL1cqfaKBDOxQFOUqgI1yGCf4sky9aa8yuy21e9hFZ6aH1ultDAdG/6P4fpTdolx3o
7Bh9+aje1Knh7a86eCziB7Jv/33Xa0zBFne/BTMIiP9x9utvxshrOgShphekR5Z1OYAV7bhT/Qt4
XznspGdvY/+IwyX4et71MJzuyE5BoSXMEkr+xDXWBo50V22pdkOUfY993Wcro42nDFVQLfcIoUx6
XTWkOu4LoqW9vO2h8TaVMtuY1qDd8BhoPjiZzjkP1Pmo1gnI8WB3MoWYfI85zTbveCDA5dLd2/s9
O428B3X0BQDmMvcFS4pQMi6b7VkJZJOCnzm+BullPgOd4LA+wLH/F8XNdRRSCchypERi+YWDMOus
T2+168g+pdt00DRC7pHO4UHN/v9i6pjQ2WmcmjlIHGkeJ85MRubYe1bYNLyhOjXR3hE5c3GLWaAI
fWL7wg2w8aTNhHb9Rs1LJ5nZs4XWbL6tZh3wnk4FJLFuXq8Ev1+eVppLjEmIzkH5EUJrO9rm690n
BhRmYz5FyNIkTuc4aNBoMRV7AtklLEL1UsBliarYgGKmdBj2uzSaAKjYsCORyV50vhSz6ueGpy5C
NX3bXaJX/gDRHruSQVQ1mRLzg33fN1/cfFrFzTykeuGy8MnMfI05C2SQmlkXNuHIDW1o8mipHBuz
fR7mBFAIKPYWyjBtortg9Cv4BqGfxqOAtNd7qbgS23MNvvnrLNPEVatRUanuvK/8myJjT/YrrN8L
LsSbFKbn1C1wm/nU10K6i4v0vUfQ5jugcPROcaINHQHgs35JvlADgGDw3+vOemEhNejexKaaKJgR
zZGYOjod3pNjHu6FsAPL+JNcUjgQ48m8VT1yvzjw0/zV80W51SHbFR3IgsIooNDgj2phpvxbzmWP
Vrm+oLe9nYaqVtIPo9HY70AlI2APQv8lTmxGH2EKVAGBNsf+j+joRfDz4NiniPVsC1xY3PnU12M/
mENdVshnGOAxPJFJT7WL5XLwFiuBGF0YlcAV7+Kww0K3N8ZlpfWSO0F6ccMhBMDdjUPSR7ERYV+m
GFhXQuQKLqgrSQhGPeB87cP/GkRjJAh+OZnCDpbaxJquN/CrIYCmPlp4OKyXwpXyB8uh5vwgH08A
6y4ikFdTJKBj8Z8zNaeh6FHV9Y0Zv5SU3MNoirBP54c+6G4rvlk7M0u+565DCeDgj8CSPm1MBVGa
2Hk0uxmGN2q8ApJujNwcu2hf+qgMKJZKv7DqM2plxU/B7JZf+/OaRWntOtQPmmrJm6mvcQkvYvpo
ixKLooi9KUUGc6qP6q4ljVPitf6h33s+FLq+SvJb+XISxrWRVWHyFvbc52zpHn4x32gDqzE290Of
YDWJH4wIsBJRGZ8g5d9Eq4Qvmjwk4Aavgfxog4xKRJjd1YhxRFL0Qfxu58qqzDitFaT0GPkNqCxo
BkU6Gs4gARhOHSaGfHscFsgi4yR9Bg5T+2As7abVh04hs4CBisfMkviuyeETFLC8o/xVzPsEKoZH
cRMM38Su6kXdWZ6QaCvtWnMvxfxPrb4yWRRgpGNbNs7jkWdy8O6bYQsZpDVtjL7jEyCW8yZD5VDd
3ZhIIBvY6snhqwTfHbCGwSy5aQqZrG7Y8HO4m1zwFaDquTMNlm8FPDHvyv7k6trmygD78VMVFnBP
PSki8aiPoI9lg6OHzKLzal5/rpU6250WaKQEIg9X+1NKXnGn/2Pmti7eLvnOMUZaZ88qxa/iFm+7
89Bl1GUgwbiOVm+a2QD7/nCNN5GdltKsyFVgG2EBPsL2uLowkWBVZx9borwtJAV4/0+/4zChxTYy
b7tCwmu0A1u0LaB/S8B/EA9kVUzsOOWyxdDiNMHRM3JtcA+Pbw4pJM7pGLBgJPlAZIqt4uboCO2+
wgVmb5+RTNfFd+FR09h4fmRD+WHiFUQcHwnaUHKQu/7z1wuc9bQmpRurfHMIHtr56plHuVPuq3tc
TAhRC9XWad61FbJnbO8Y2WlcZoRYhT2/uB7sGiHzGZRBoaDChyoJHBynO6Agsy85HTQq28St3xRh
AVT4twajiGGTV9cDSzlFt4kp+Q0e9w2cJr4Ol6OqqtPLG23/8JG9M7FcNarN4lLDc3WglkAcl9cL
kSbplCqN5H3MnvV8nacVlOpupp8/VQTct4bvxY8aAQWdiDZ7CNIGEmsJ4BvoD4gqevV2QWSeUXET
1Q25Ikk/MgATC0DpSxdTSoTp6xXNge+yIu3n+g71un/acWtF9x42juoXjlYDIxhkRT7tNA0Al6Fh
7Q4EkfehQ4bVGYKrOXC6lZGeTi2I9LLU1ynv0pfb/hRHOYJaGrSe9ZszarBsAJoM8KgJgEOCHPT5
w0uavtuM2oBbSy2a917H15YHnEHGp8lFu7sY6IDs4EA9ru/ehEnxY4d1klNoSW75lOqzLXFwg5Gm
Vu8SMgB1uSVTxmC3T3zh/F+LPa3QbK5G2OSZmOm1jFuzQBhXPvulD7CP7GYNbfa2l4TmpKrq0ek3
dAH1pbECDOe55Eoc1Hf8A/ZGLcKlJcghQct13Vg7uJj+bnggTrLF4+NH+z/pQjRcZyK1RQGB46lY
utCbdK+0IenaGzXz8+omrHhFWz1aoE70l+k4FytCqtkYsbMKDPYh18SlIwPfVjG3DfBD+SRVeIuC
yjLKvrHRi+a/0MKV2P1vqVzneoKdwQ1eZhhehyY2gt7ldKPXBNP1p3OoZ9mVWgs/N2ywcR9tsJC2
iLPDzGqD9hbZo9pnPR7yEYKF+6rCb19CZYE+Wl1br7JALtByQYISOHf4ruQwmLKa3OdmND0yLwKF
Qm5MkEzQqw4KqyPtQjcm6JP4jIiJnMVX6FT5msH0VEa2i6uboigFI3LxVL4h9wD1S6hyVMJdVHZl
5i+7SNmLgaowTwSZbQYHr894l64DZ/lPcx1g1I2IsggAOnFWu/U5dWg/9NU25O+p0kPu9cXOhtsI
wRJMTFV0e5pknTdvLpGuSzj4ej5e+XJ+rqF6VlfyWFMk87BuauZe9Txdo6XUiy/gv3QfWaluli9c
oVr6ycXOcLowqYxb+HOuzAsT+EQaaiqLXS5W6Uk+A8F0GmNiv1UH8q5gI72KZuOoTGqe950odVHL
UYWlPtsRlbXePEmQ81d0c9lhW9VWUdDr1t6UKizfzyKX+dZghQPoI0aMSD3vgPSAmCjpI8RoNvSL
jxN15B5fh+X6QDNNhXOvzJuB/jPDL0j6yV60YXpicutLEYaaX/VpvQ2ARZT/1z2xeP7OM8n8uhjh
6Yd3VKZUXfkTCa7g5GWVhTpGtHQzoiF7q+VRQ99M1f9CA6QyW6dh7quNe+A1MlVB/sTKyLXpEVJ9
xEZjvc5WgBUQR8gAm5ecuo3zOLOGJvvR+w9A0rNxu79mJT7oa9ewzvnQpCwBKXwEbx8LfzycKvBe
jotTfxSCxcQN4SIOp3j8SoZLvtqeJxlgjz2ZP63ntKUPFya0YIrWIc4WFbaesfbtdAyY0BjjGzKD
eSAXBSgBeaRZDniFKchzx2Dq7kNUhhUXqLfvIc5NLogOSuSTp/yBNa1gMDglb8DWXCGhJAgThbVK
48q1H74KzkazvvYppcKbw06YNRA4+2ejZc92Zk9KPydsV0NalrXxN0u5HnlzgyTvKoWjGNRpZN6R
dChocn8D98nuRUIEucBWOQ2S11Ztpos4LBR2MXps2coV7Uy+qslUXe4FkzcjXHGbEI3d3I1oP7f6
YdmDDpOj9WadGVFU/1eEwd0RrZKMsstit+HrjccGz0SMrUiwbXHmUbGj0ro6HTMWwtdQ9gaetC8Q
CzDrAwQdLc/+xgLKZtgkCcBOwr64wh/wRkS3eoI391z14PhDamXucPM2LbxYeWn7nNDfwS0svJ6I
6i9J1YiJGBYvhcOCfgsGHMFkpq5ZDq6z+yRGrD0SkUuy2v7zj3VCKnnNpkTLeHg8ibSj2p2FCasF
kgTrZr74TiBtvR905RQgtTYEVGcvbzhCHJHjkEKDBvXQZ870uWsk9WdCIh9EKfJzyoM31xfaAIiJ
kP2nL5s+Fnm2YLnrh5o1gL9EkcVE4uWWBtcWTUvjV6cY+veYt1AxHNitkQdlRv46AOhJzOGk9z2k
C99nGeRMLs+vwFXTVu66HAsaDhv2iw/+WsS00aU85gEYi39aP+LVm2Z2wh+LN1bGxawbxATA8uXO
dLDxZSMq6IPHGnsdSHjRiirkvTCuBtsdaR0En3KqFDwKZQhCpESEPBSALuvjluNWBhsMTWmhCwT1
ECQOTIJpWPEpl58N/HG/mEArRzytKfoQV24jbHjyUy/IfOqOv1p8W8vKWxyP5NKKNKfVGCZ0t0B/
K54pBVC8XDTWGZuSek6LkOdy3eP4qtFnsjVoL2X0WXST4PPXBoGHvqLNjxoo9PRK4gKEaHc/3PrG
f+dizniJyaS6fv9DLuXB/lOwFz2F35HahnMHAb2dmcoMqnmYrrRoqgYT/uUdsQFVSFA1e69auMXJ
WxelvhpZIcpapVo0HTc8slSxzwC1LgzXE4KNjvTnYAHN61QfhbP9THjfnlYVZSiefiXKU3qgVqJ+
OjGGw4XZqGM/Y6vVgSZiC4NKQS5de6fhuneA9u6vlUGcefv88NjvIcS7JEszfJjPcvjwOonzKzaO
KDnOe/NdSkNIjVHsD9yHWTRkMB0mdmJ4sHbPnybGkrk5HIXujFUUmiYbSsYyNI1R8f2E4cB6xB5G
aqj+97gD75BWVhJu/gQOS24d/B4U7SJlF7WXuVpfpeUerxr2njZ7itMEub7HN/VOEUQv4WjweAeX
A38MBG+hsvyHq5UAF8HebL59q0wLiBZMSopMAGG65NJfzFpEngPqLhm4cXXCozJd0Y6qAcIXe/5u
hkuBlvhjWeynHiBK5s4GVxv6GvdtY4qd2IcS9YPD0puDojFjS6/yXK8yvb7cuPEdWOK30/Ua1nq0
xLqYQzRsInb4pXWfBvx+bnONvruS8yiGmKzVx/Oa+OGi5wUgXiAxur48x2qPja/WjdP6zAAwh6Pn
6IKS+h9+6ONn0RGNsw8GlsDIy2kEHlYliCKecvu3ydFF6DIURRYhS817miRIF34ZD/2QxNPllfyf
ltAah46GMotoXFr4n6B5sJhusXKUR31NJuNK0ebMOce2U5z3/OzlIASwVRg+t6Aj4P/9x1AemtoR
Lt2l0X645/MKV3W4Kv5dxl8txWMf7sfJKA17Z1isPr84KGupsXP9VYxc1DfqPZvjbgVd9ShtAONj
Jk6jwbtlEeuW+gr3DwsEJ0RRpW7J/wLAN2wwdVrXOP3xmicrgcrtcehAQa8/v76xTtzblLuJIxCt
5BCYwVxhFn2vWuf9QV/r8ouH3iq0a6buXjW+qGSyuoVLU9Nphgf47QFl21kasGovA5UjM6xGqnvl
HQdE86ba26ceWKigZs9tTzIt0bIuhERU+LQst30SfSs4KchGHyP0cIiYmRwOAWINOxnkieqAkVJH
Zt7kOcNuSfdWWVLW+VLK+BWKN3p0Q8hLlNDYjZTRv2M0k8K8DD4sNlSmmE8cgJZ2bWDD4/W/22EF
zJioV2ljnDPxM+AqzgqCtReRnBjvUJBKh7yHZ0LHDtTiR7KYu5Yw9majfDpLndZtvFGWVXhdJ4UW
uT5QPe/AVkKiqzG+lO3eyxbC7zEHhJU3DIsKspY2H1uu5MdG8in8fvK/VAOwq5rEOJheCUy/ppEU
LITfdF8bkNivTXtYSprCOWdRq0ZYixDMHYN0damL+pllPDl1s4DujfZVdp5amUE8MYPBJRbZTF2L
nPHAl8elYiYap0/B5dNEVc/m0oMRL31vc4heYUKOPGsnslsdqPd+sQb+QdFc0L9wr9gxe5FweWol
Fp+4scOeW0ui9s8m67an0QbI0dFr/hf9a8IEQ3fYkCpeea0zynwETVhxcGHeUv6KpKVr+Cn4mny+
kXOVI8Tot5GgPdT3OiACFExf6H5N3LwVFgc5uSA3/ER2+nM0Kx/hJa2KG0OZD3Gs+alTcTge9/sT
RQZ9xbFx0DVcMtKM34BZkog8X6vvbSXRFYtTQj37jfhO/LjFr2ZlFbetK9djvPGMuHqAwcayZ9V/
GznobLcv7Xhj30DaIOyBdY9PT/DwjGL4Js9x1wTHxxMp8lyHpwSiz5kCD3BbqdlAXrs/GysugJM/
XILDmkYIoKCzbJ9BtuvIEla/Q4+eUDHVE0ghKBtk0KgOcObBTPEOIY+AJKCWUz/uHhjPt1Cmnk4Q
dYkL1Fx7h6Osru96cY1P1aVi4oIUkBbxNGUdGfIrs1yi+Uh9PHydGCwiBmOawhfVFwE3uyZfWKh3
LK3RcZs9QUqtjuxbZwA3Rk9OzY2Z73bl9+rSoothYZC/FUN/T7kNeHNZ5rJ8AgZVuYsY4Zf1fiyO
MCMlcSyDVvpR3/LSsGuV3P6QXI47Yyv3PRg8vPdW74kSDc62Q6fyCXBb6lRBIl5YxyZ7KigTjEwr
R5Q077H7w89En8sN2I7nk9jPs8HMCkvIgpFKBnYmCKAFxj3DLolygr8grTUq36BU113xpPDaEnUK
CalqsFhPLLq7NQQ+WtDYTY5XdxzPTvacz9N4cfsA47L5KKRNlmjn3YjphzQPGoJKrMFQdiYN3bBE
6308A7SYtdml1UOOQm5iWboDuusvE1g6KMJ+gCR4maZJHosJYAQfaHAj0pbAhsPP6RHBoP9ynHLo
SDKGYxuh8PCztbQUqFolGIJgpAD+Q+6pFZSnO3XQCt2WZsZaSL6VXY4HaEpBMomI7JYFX6tvErOr
Li2tOKYtsu6p+y4oJMkVWGBxatgfLC7BBOZLFYF8+imTzaigeVoZ56PSPmwGtytsW9oNWL1lmbQB
Vz/i4t0qW2cnIHZvqYGGFdtwYMxCKdzdFYcapIpfkwBGKzBtWlcRGsgFQkWTfi1gtiWObfIj37tM
bRoCKfqxcMpMxKhuZP1cjakcp0v8b/LZqqBOMdzPprjKd81EEoY8uXYI/U3EeUqRNN3Qx7aTrjCc
Ai0/MRi/6YKMinJbEm4dimYzQKQnfKlWg4GhrQGYUHe3C4AyePK/6qgB2uq+mGQCOJKlHMnccEWy
5oEOhrbSUWd0WPBelIiI5P2WHE1HLB3Z/6rUWwEd2wRi7qKHBPxpkX7NEgAZv6QYcdNrsHBaQhiL
ww3Lua3U/YiXiv96A7QjwlQocAMyU8IZdbpUWckIgTA+Qx3e4+Fb042aUd+z0KHa4DvcVR0Yn07Q
SjMommMFdGpfipDGLH0HH/gLAUsS8Fo/aV2sb5rYDQ0LqbiPGUAvjz+yNC6pfbFgkzHcYiMIX/IC
eyXMYFMrUuFOz4bIPaFazgPtfkNEKhlBYwYJk0vrSCT95h9gvS7BAUHOwVKQANwwWnDKW3NOzIpN
FUw2s5He3ATp976tbkjmulw6W2FtYIQ+kJjg6eZm4bp1O/FeeE8BHxmtcycat+v+9HKJhUtJiapn
gOazbT/cSC9Mo4gl4ef7G4zVMcuXVQ7qq192OQTBZJErclSXjM7Wt7Vow/kei3Kgtuo8cdaMSMUW
k5bPHN01XNQlHcLSG5qzTl09sUP0+k+NvY752oOMRtTgx2u57ogHvLUAr7uOPCVrh7HDa+7o6N4C
HcL7RLIj7nuORkIa9ZYW/9hlPoMgn46BSqKYDvqBiHZGernYChe+bZd+Y7VZP1yD3Mc3oVEM5u9g
kaxnOQzpety/r58UASAkDb7danO2OWWxOp15UXE1vpz9wcsWHhHjjAxm7X3B0rVblfdEAahwkS3f
M41EmgwaIPsNXfyx2ft8PRzR9101aKf3bpcmgraFnt8ru6AtGREAJ0zrG4wwga+MtUHQrp0jA9KO
z52cW3KyUqyATL57QM2zdDDrXkyIbfeYrLoTmx2n98mSShTlHzhtZ4kH8hntG5808hx1YJH8o5UZ
K+3NrCQ46LHxLqgMHIkL+j1ca25YmhZbmpOTvlIpEDCzYczT2f7avXUi+e5zr2jaESgsLBL8h+/h
AHslF+D5XdWcP25OHvOhPjEgTEU/pUlFhw8tZ56kkcJcG+PhkdYL8vxnhrHSC66pMg/RC5Vrf6d9
RT/GVXysOPr7bTi0gfvUuBKK41bdpXRx7uAw+nMYKMbSbLVTOXV1n2xhf7o/JTxt66OqMtZfEvfH
XY8L2TvncvxdFQ0ZD4ReIcSsU57NV746HCD0eieSSEWUchMmHQp1vy6t/wT14gDDOtYx4110Ui4k
hRZcD9cmQx2UN60I7xfEjx/ojPDgKcOp2b3drjbALtvDlWHdqLGOUGwVwvTdvDZ5hF18H1jbgyxy
QCsHd/R7L7TwOwyx10Wtz9pVFQJYn+DS4hIk0VkGMkzmJ4E3pdtDRYQeQj/CrJwS2P/e4c0bknOR
w8Us5eLhzzUM3XEY8HRZfEaGzNMoWOyvL6xUqXawi6appY8kcBscue5eYD0QWSMX3xHC18aS+6G2
qHeZCw0aao7GRKH8KwiWwxAAQxeQBFQ1/Wu/JrrJx4PK1Q7Cpv4MRnasZSxouuVrpWSLY0I2YzWm
y12890b80BiB1JzSqIqccHEIeWj5+zeYGAHJdPZD1V8O9zFHagoDD6B7wl5JCoDUbs5TQOls1wDy
tkshkBMKxIPR+79hGd03aeCKBoUEvWm/ec5oAQtd9YhaiALFPUK8QMLPxUIi6vpn5T1IDo7FGYny
fb8Z0SoeVa8wUmnXsA63OG86XXdBX0DGxB6rC//d7jsxtPAKB7fFN2M6pwWC4mr7vgKXoNqdKQzK
aR1PLEbbuCPGmmlN+1/pFlnftJsFNk+muLRwpmYBHxjbixt+YB9ur/pfI47sM8SqLVGtCsREIGc3
9b0bnYcM+V5bnRWUqwW3do6dsYG2BuvPhHypnnSxvqJ/K/udQub5fy9E7Uw3e+36m/N4HQLk1lP3
ZsS4rPhsthKF2FCtdsnJyX4aah20d4DT5wGW0T6FxnjUKTo19BUrDJr931jCc6rLjCW/FIE0lkrT
JMBt7yMWY0NdsJvObwcYe+pe+007LLHm4pE2Gf4hNaW+kqoPAYynpGzicXYtVIWhv2m207pKYzUm
I9eSzmUCFjyQa7yqwVLB353YzNFIDBJYRmhH6LBiQUkoj4viQXB9YW3+EaxqAEli1vwg8JJYtRun
jtQVW5OeusdL8WR+1uhI0zQ9SIvjrSSqGNWEd1QRZ21ZnbBY7m1aBFZkFmMzB4yCvzqiLfxU2psG
It+bUS/l+jCVT8h6udhIlJNoayVQB0n7vsTIP558EGrQsmFwtSjs/WIs/dinPJwTvhcGbEcKTt10
aigChx8ehLVs88KsKaAOJerAre/3I77hlWLaWUWQLrlbqU5beusR3XjB8iwDcABgqNiFoJrvsN93
9Us8mqbNJM5fZG4BkjrlNO4op6nyMHMgUBOpADf6Sdiv8hOR1O617ZdmYrKuRgjiJjipX9Wds3r2
4LqqHYfsKM2EQEsQpdIIuBp9PYFGcCdVL39ZA+vY4Csu+KxJXcPNe3RoETpOmWqsiMEEJtnhmicI
E28T+5afSOOkkIEcaOXY167wV9LNg9u/NS0wYJqMb/E8lakvyy4NswamvVsM2lO9sSZIbPfdq74E
C3Co5PO83lGVtiVp0bCKSb1MQXXdkMUPUR7AxKR8E5+d7Jy1xTd0bxwYui+XCxsyh24n1g0cYlUD
lij+52DlRfSV1r9IM+eLy+J7/TWjFYLh3eVRZVUByQFUb+O5hYA5wwG7p//lRdsaHqL7+SLRiNgk
evxyiTiELv1jEGOAoiIIfmrvEYPP9ZRB3tclnbcLrl8cCL61opO0DuIU8+c5gD6mK77eMLb7RLvh
o7jwoQPSYI9nwj/8OBX7dhMcJjcj4XNsKUGnbhbcijKhgaYp9adi9EtPdYup3FEx0oSQa7FMIyRq
3/OYS3WP8yM0WBjEAuim2hzIwPSo0ydT7Q8ecfGbjFBoCs7fNh2bpHaG4PK0uBcyyrZbi0IaEaZa
HoWIC3n+B5CPv4Xu5vgDTsD6QEH9Ai23hmb1Xt8G+tIIEsz5toJou6hznhzpJ/oDWv/jZV2ywo17
mYybtgOq3nZ2V/d87fm8/6oJ/rOtSyNcb+dAqJ1JaMKqUlxlVGtmNiuD+M91HzaHbcoG31mJrBrV
ifuh9eiK7jM3it5qrvtRFNiLCLnTf56/8rwZ3ekBJhHvnlTvCqeCaUlKm2X8hywNbmKvlx1Pzgxv
+jFU0JnPZDUMCvfqGHJr0ENo5qqeRPhERN0aavWxfXId1+2HvEmXTGjrx4f+itB2AVwovA5VebZQ
hLmQRjM+iRsaWfO8krsNWShldJkE6WS9TP6hJMR2tLruLasaEl05zjwy93JOfwZSk6ApA64Ifi4g
pIFnKSjDu82YFmMKZCUSGyd7hSjnfO3cNo6YMd5MmNRR1VrwQAps4CVz3zF4n/E3AOXR/kjKYwQa
faJqLjJV00b1qCVUWixIlhq/03O+NWXDgyAUhMwRO15gPskh0MbqVqJnx8cWvIVTE5jOnMMLyvQd
BjkpR2Xu/6O/hWFlcK4hpj/5aYLrqRYrYwxGXlE164yvzw2su881BwCfWvp3HvVRk9a8+Og/OPA6
L8L8zH7Dl2gYd+1QVmW6fHMk0O9HlnoIYSvU8mcf0r/kr+53IE5XHd1ws2oGmcMkmx10rCGQK2Dp
yDe39ul+uUJdz7f+W3OVnz9BEA4KkOMz/X/ANwJ0tzy8Dj5utRkBsuXBHh5NSJB/qjEpmTbMMAb3
vtr/oj1QNr62M2Pr9CLq18qEZj3n+ont/E1FIuXLA3KQ+dcrnrNdibqF2izLQTAu5gq1nqLB9A0c
J0loJW2/svGruBWj8rb18c4vJXo0kKOlnDFS8ah5/3F/Ej981U4Ykr/2AKtLMznbStNN1qib6+A4
dOTAdLCiGIxm1EGf82uwPyoLmVZR5R+eSU+FNyCSpcn0NY5wP2YgHy+tEIucTUXGZmh1sM5CRneB
2IbGNlWu2Ql3ZvxoVz4oF3/YFCPlsYrUtUn2kQ4PyFpa32Vn0/NZr4a8b8dEDfHuY1kKtUincMip
3TyPNwmeVTcLYMjx206lr6GjW/zFJPkfdCep8UKcOuz0PPqqtuTDY3eOQMEcNjVIBgUf0sBVGGNv
ImOgWVI/N5SsJ0/Ao0/TabSBcKDbS1TEY9+W/fZBPJcr44XCrSm4Uedt4lX1e4AIzD8o0rqMarQe
P+hYcP/7zXTIJeUwqIlsABu4Tnf8aIANu2hJMM4XgvngWo7PAerUnOpzQFcdMAL9BC/DJ7cUlszU
Zq7nd0r/N0/3ziC7ixRlW7kc5ENgb9Eb9raz1MQx+wkuDxhDVzCHW3KTzlSlXA/cfDGwrrHAgOr8
CBIfGCWPLquMqLPiSCrFogcDHmALaW22ym22UkpNMx9GqZRswmnG0WcpoQDx7rw0TCjKmpnZbsb4
1NpFNbQy0juu3l9ng3krZ+64lfsgW4Oparupc/2kBWeUlTejgoqzq1n84wvkU9hx9/SM+NGcX4bv
9/EwK0vnqSZzj3+8Dk4IemV93MhvjsSYbJcfOMHrGbzhRyFtUs+oPTUbrbkTNHA9G76Tfsgl5bZn
74ylaj9kZqIJ8o+c06zRYqWgWDakSfR6F8StjPd4gXGwx/Cud/CjebpU7lLWy2Oxp7ZnL34dHdej
T/hvminIjLnGYz6vCmsIJVPyHbMkuBLr/J/hn+5ooA0Dyd6c30AZ/GzCAEk4IL9hzHaroI/fxeVq
c2pgzx5WlkN2dnA4N/uMxngnYsVWNe5LtdMYmFeQpVcCSs301422+fSplcSlQ2prpZiCd+zhO4I0
KYCjgsohjM/U4Ru2RJx0g+lc/u0L5uMK2kDEIU8vDrz0V5G8n0MD01vJSkYtF6XXYIYgLYtFYXyW
1nzn4SY6n12DOR4zzFYR6pNs7KyRxB1asIV7VUjqrJj5I+JpUhDyRlTBLbk61E+xaMEX9aKaRZDd
4rxlnFQtGHStFC4XQjEDAapxXNLTfpv1kEpJ7q7i7awUPZA1+FY7Sd3TFjIxFOo64MzIc5b1146y
DKlK2rWN8+UtkscEro1xI8uFr7VgcsECgkocMqXbLyo43r1k/m4Rfnw9/X4SXuKWF8nsKU8kntYb
vRApawmR2Agg5s77EkUXiCz5DDJTm5rbxvHgkPz+oM+AjZg95UCctxsOk3jdH41b1Cbo+NXTQeq5
9Bgy5A1W6yZUEP1D8pWysvpBXjr7uC7OgAfrAbsSrlDWPKY7WxdXJoxudpyAvQi7eV1v0kSZ2CaC
kwKejG7zGEpXRsJAfVv7t2/cGnHJnZvJNXEhyaZZepplb0jzCbcuX29kd8K1zwpIoJtirmybRjR4
vT+7WTLYPGRH9iFoOylazvCNXGV00qXpUQl6RdKFYFQGVx93BFktpJGLd3k3BuwbgefX6jQsBGWk
NHJ6tnJPlXwZ0PgwYz9eVWmh5vbL4H4Lqyb3EzNEjFgHBWcFHmn3lwV23cJkkXOBh1P8dA3+psqL
RHsz9eaFvI3IQ1Mb++a5ur0hUuep1o8NELoOWdz6jynIRWZxgRYV9ngnWc4X6xM31qs0rxfo+bzD
PUhKv/sT3wX50je7YHNeHyqbQ5mMAzCCTs6Bx8ce3yB9/m+s61tR+9vRf3OmAQf/9OZFD0vxqHli
TgF/ihjm++A/679SJvwHt44N2Q9W1Q+oMIilADGfQM6bDtnTJAI74GTLIC/bVOyZSoxdT8mN8kfn
LNTECwNIqqfYpeJuZXvrSwiV5jwmBbcWc+sf8ixA7KdzMV5C85hxD9xjg+7xOiFXWt0Q4z14mugO
70SEd+UsQv/fybqgg4YZRrbVUWqpkAd6JhqWhnK7oXqhg1tjwqqWqnO4T9hdGFNchk3BdkiaMOOW
tz11clXzMxNqyxCVi8reXCu/spHbHi8MoarYRZn7qUWDAup43LFSucjKeAjOHZgBdnyN1dS3vnIu
+JnLmtDGbHYlT+TH4JDsnKMyUqxGTwqimmy/qGewglc4NRW48S6ljp5wyNOQZKqWSokP0nLiaK7u
eYUS9fVqKLuCnnxZ2ViR8WaEa0uqu+n+tS3UyHY9U8IfN6Z0qIneJHpH5eK6tOl0LRYYFhAhYAJz
fbRQMn+UFEI5vX9s0OsfR6oOrvu1KfzqAuXy2rdDbQR5eWCWkScONpXrxGmvb+2tPsbuMecaBfd3
lUFyEt6tEA0g4kDQ0JQjyM/c/s50oZMuimXq7RMzmOWEBkF/ZNK9lpHSKp++RZDETb8zWgSxVRpa
tmaj4hY9WmbBR1HMs3TgT427coR+BR4bCEt5OaMn13mcwcAKxGUfOPuLlyKKrQMdswodP0ukrA3U
pEjfjVrepl3r/NK8Jjih1sLDy3U7qg/Ae/FpDixEueIoEy/7oVziIVx6MH2Pv8p2L7+2o/8wGi9C
DDIWMFgMat2KOHfWddlAiMmHH6RRMi2GnWukwun6c/NoIYT9+WKhGJfqnuD/5F1YloCPKqL/29Xd
+BckZ16lnFqAPvD6nBNurq/CQn6X5/UqhKPc9jxNNJ2QB0KHP/Zp7dkk4xxuPpriHG8Z8Xi51OwZ
Lvjb7KH/FOddGraFtCnTK95Nywxc7wZ0Uyc4lAfFkWvuQOkqnFin7ZO4q6BY/IdhYrAh75SOrHDl
20tIvlNd8I2xuQQqzwtgC+sLDUuVOh3+kIhjBS5b9S37KVj5M3rWTrtzp+umW240aHkzQpgBgD2L
N/M/JVTv1djmu6uIr4REH+eWkFSUpwi3lwMxjmMy9rr2Dwsy10A96HDppBOKwlD1Uceefv7189Vr
ffQPxnyDJXrA+PrpGDamWElhqYnKe8GId4DT2IAp2C16jfVQPRFnv99EztaK3WR4HtoFMEVEL7wD
hyOdQSeHPgBdsQrSZGOj1mb346SaU25AAxHKBI5EWIy4isFFo7o2yMGmEE9vp2jIOADI+jFity0w
6K3cnYeV8MuYJhsFt0Cxx1Xe8TorJZ527ul+d7RgyidOZeER15o4XrXghCxe0k/3u9iQCkiJbG0d
jKRaFBkc5FWChtVUXCCHZwV7iSXPmoSmFXV9sA5OE014//tE1+Ha0xn2ABkoHrDd/iO9gVc60z2H
pB2ok1x4Pbp62F2Lwz7HE9B1dZi1QS96BsyieYKOHf1nJ3iKCdv8TytWg45MYgXbMySAIDOtLDIP
HJJl3NfqvajyxqHhK289mlJkzDkfc0spn4aM2hXIpcKXG+IXAv3Cn++DxF3sqMXbPUQM+mh5Nm1O
rvjGInW4kqRSXhSVYtYETNaHWg6sFCGnZ/pt7qNCVR2UnSBDkePxjqMVEVPModaVtrlzOy7DxepQ
dmko6yWugRo95nqnpMglgXzLcAm2DiLhbIwf7/IZCWz/gIYwMAo7sUtZJ6vR6CQsk1OfJAfNMxav
CobSl+YEOaiYdG5fnDaOW+DRV4TLiWxQUj5JwqkuQKBP5a6GB49zWattEUen/0uy53c6pfhpy74B
Bt7EPaeH257KqtJaXGgx5OqN8zb89Z404s7T2R+HObbzHnJbWTvLz/H/CdFaZW7lxptHpAYoMqqH
XO/MwV1oihJzMkOoMKPuzF6/aKs3d2tplFvnol4WF/32StGbSUkoOLXaNz4odYzxraUSgjA+vzUs
Z8VHXFjbnRk9U8RAufAFVEymZ/ldLN2p4MPMfmlVnkl/U19lMhTsaQNOfbbbpJuJfnbi2cT4FkzY
Sanp8tRNgvoM4oU9Gh73qDyzjxTUXJMlb15ympQ/Jn8imcqgjAX7X8PgsxxCqc20cnyi7vOxypjs
JtB4W/g9wzyiWPcb9G3ZGdqthUCkPSHzbVvBle4jgcEuHZoDt3wecJY2rNQw3CT+XzHLw8T5Pgky
Qj2tS5Yj7O/WuYMY20ESRmrlt0W5Txq03HkvmNR84eoOPFhne5lRJK508ekMOZRoUgJfF9SScYgq
Y7DtXfNVXCc52dbaYvpXwX3SJUtcoTzqZ0ieQ0Iwb/qXBB1hI/GibTDT+TXh4vaz2y9V1vNZtWSw
EltDEMx721+UKiCc7ViKprjCcwxzOrxS+lhZ7ctNxBhcMfsgTW78tlnpaYVmRcKX1tn3//PyGlba
QH+W8Sr3vvF2QDLfdav1OJ6umwjyQ9SS6xpeRu5thCiibClVQnhyqhi0Ye81XsqDcVz9ea25Q7Wr
N4j37/iRcDS+PgxTdGIiwQ6HYVj2orCx0Ug4PxYoVgwMnXX73RkFlEeefgRMMt7FptirXv7/zHtu
v/hQy4olXuSQ23wy4AL355bNBPnDCIr+Aqy/QkVuNTa17dqQ8C0KjaQOynJtmNAN6BZ9mYBibZrs
Z2Kht5B7BV0wLuOQMj+JhynMXEwly8SiFcNq2OIVT/J9pSopDWXOhf3WF9UPcKk7TQEH8/bJNZqu
ZMH0cyYieLX2P8/v/fe1EEdcsCed3tWJ8EZdW7bWLv1FAfy0qwz2hdxj3JW77oQ9jmFoa1jLVtYo
TsXdAlFipAmFyTWsEEPMgLl5VysrWGXEfh7QaHHsIcDwX9TeJU1GVp8bCf7xe9LdQHpTCepfDg2I
cOYoX/B5lGbyrh5zTj+4pY59bA5U+E4xr6odsXMvvyOoQgr1QYpl2QixvN7VGq7x34XEWu3JyblH
YHs1lJxgCnaLcHGmAzLfbjs3pTOKu70QAiQ4XhyvSwvDJBte1VwSnKiKdfJ5xfA5Ls5hvnJXMbMn
GklcP2oLNaIXbV3IMsU0ptnD9n2fGzi3KyxYyNBTjD/nLiHc/MfXP6gDBkGegCME4PJ5hhU+9Usp
YpZ+FdnJi3aT2TlRHoSIwdpYb6q3iJrg+kWuD7VzHYs38AwoII0+z70W8GlLI3CmsRB4MSYhCS0F
8NrZ+IcgN85AFAw8JF0c22Om3gs1VhkxqFV5ABwjcTPPoh4fn2ArqRVqv98qWf1VrNLWVoqB1ai3
/117XUOuRxIL54dHTxFbK9j7FFXd3H1FauGk6/UZrz4dp1xVfrY97o8SnKcXxeO9Vom3f+bSqiOs
jV9C4Oj5L1/pruGHAvBG3qzK6v7vw8qCtQuVAt4C2a7XxfyCvB7yiCjpGqL60/aTTDatGfrBsmk0
XMHJCVnoFKOxbX7bza6YUt854Nd8IBtH1NSf3VvD2FD1Os0jpwRislOW3iCrful1KCuvAgdymhPU
BTYIxL8F8Hs0N9hZGO4Z1t8tjiMsUZRLnGdAxiOGO494JIiqXmLwP6RUbVJFBkj4iBPW+7EL4OSA
smvg9zWfg9JBt3tFx7ol6uiQlBlBdZrsLwAlykaxeOJe2TddHMILz/5Au3rvw5fSh011vyiQyKPI
//HUTRPM8fqSpZa3QBx4FV9bpBitmymNLWSgingaHcRc7WSKbq94+kMJs1LMpGH0a/uW2ond+Ama
jSG0nk4rQcGwgRVQAy0wSDwV1Y1JAZn1AyG3fOOe+Vt6FIiGg3Z/iq3asz75auZJ7kCokOpxyF/8
EfQHNmUOEnt7tDONdt7ElXn2zs00caFsFJo7Moz+kGK8Tvba3Ls1fSuW0noMgs6obPFmYsnHXGCj
GlbgYzffKkFr1DApb5yYTXvS77boFNcKLpu4GlMBp9n/I0ytrUQVD2VLpQ03f/53BSSGvkshq9oJ
PIZSzz5faSpV8+ruOCMkwMedcsH3Mvug+jCZcMpeVCPkFuhmFqjo1aMybbbL7xkU3Jlo/eeGTu16
QMXLp3cwPamrztbS4Gc7C4N9ixCy39AZ1QrTAhRlbus++HGkW11+KX/eZ1GyLhBqqZwop7hHZfz7
XNV7gfO+/kXqdfBCaOqakwFHzm8+vpQZZJfRsk2eWhE2ccCtSIz+dqR73yQwtiqMZJo/Gw6ATAwR
8XXsdoH40XRIyZ/dgfV8souDclcwJKFz1F6Ef+TdFe4GbVi31O/vU0tG8lt6tCYuROFixUjFi3is
gdTUbi+sBs7Br7sWFGuzRziJUFJoTVZ6SMe71uUYaBM8RSbyEj3NZgpFY1tt+cMCNnMSQ/tu8Aib
vi14JT/Hy3jzuUMby2uiV6mv2Wv6VNX4Mc0stEErPxgRVn+eTUcM0KHdrydL0oIvURhi3EHlLK9+
h60wwfLf+nv5L4Pshctqcw7JVmkcwwQTJHWNNjxRIe7L91tWkLvN4/HGVDx5/Xv1ZZENrVMA+MnQ
dsNCEXYfM5FbMAop85cKS4wVMEmXacBNnO0xu++uj/oMud3U8e8Mfw2ngEXq87h/jdki0NsyXjSx
RBBPZgZdWOmn/5ICa2zdHwlvNYsXnieyWm7Lr9R9RF7B/gg3dhK5q5iD1Ql+raLD2dkBao8MM6Bs
DZIqA9obxA9tqbWJcdRZyx6Qu8x6Jfk+Ps237Kzgc93EoHbW6lpfjCn8RsCEw5/jwyveOeytVyRS
6FSwnrDEJMCAA4w0yh9oGT/MGARvDVF4bUJgXUmZpo+k49ke4w3YzN+G1RQV6W7v1Lw/Mw08N6Z7
mxpAqEtaKW+15u0HSOrWROezZ8oHw70N0wOKlVZXQqhgUauAPb1/aU2Z64ReCGLRbUP+YljYAXfT
O/zTwh9QalXhEIjFSVS45jfl+Kln5YlF/TkoEpGqLJtWaJjpn47g84X8ESkgoPPjYyq5RFxaoPUe
m79sq8DvWx3l/vtASTlc/rh44TNSyGgkW6VEct4fflLrA7RKTyaB5jBi/cnk2p44A7QR/OF45DV0
S/GgaZW0ayPOwjYIy7brTSAcwhiqMyxmLW9TJTdXASSGbAf8y7IDIATgVZUgQXDFkBg+q1LGGzd3
1UHTRRkCQwduPqOzgFKYM+IsgwecNN6D44kXBT99lJ29FhWDaVRyfXvLwBWEH1zn8RrBd0qiJP3a
8pfdSiHbbzoU1DbHvs30Gizmsm3vO/3JVC4XYoLUXGAzmAPHdiIMcwQsLYwAHeo7bPovhkQKDTvT
HzdDwrjY4eh+wPxPempoW+X9v7iK7TrKXrf96oLJvITF46NXI+9FNmpHAPSrbOO/+pHNZPC0T4Hw
W6LdiraBt3KHPoNQxZAot2BS9evc1w0qfpl3aikIRvsaxllc8IEzRjP4Uwxnwba13PxOdhf4nucA
iahCMfCvO5N+GDwEx62hYLS5CaYUH0f/MNOtJHN7UCz7W9qyXKdC5PP0PlGBgPva2NHgmuzONaho
7j7P+QRpDiFGqWjE1ZNr9Cl4YS/CCaWQed1pXZ8HWwQJA75xzU+My9wa7SjkL4PemJOQIkSeasvN
hPnZRgFxzcaehqwqCsazm+gtgZTar+0EyQgPNF67pUcK4YDOq1Lx5meekEFYFT6aBNGM91wLkP1N
RQaNg8b8gX35P1wlG8fwvA6YSGEYl+AXLjIOE8rLonVuzUeUxUCMVOVKhfGKRM3AtmfM/vRhcXFa
rh24eFhThQ5W1brNLpvOiYWC1x+pjCG6gISnlrsRbuxIGDM2ga0YA7wP95b848sjODu3oU8Gl/8O
q68HySRfkOWQwXF6nCUNNyxV3sb/2tM1UM2DPTE349SPTs0VmHWd3+XmPdnlJAT+q7epF8I888SF
PQsV5I69QuawbEVBxStEnU9RJG92lI10VgiTejmdcCy0Vdfm1BR8H9sb2EbhQOZ9MJGzCL9+Qqhk
qSuh+SSKgXepLrcPEj3TJ2r0dWv9He41qMzdWVNgTKcFpjAjoldF9GTRFPo0wgbP3DEVQtc/rzL7
HJXUia8wk/cnyG/3qE3VWmiYX52DzHNE/TeFML5bZgq40TIfcPkFDLTBETJEXkZXWK2TjiErx9+U
7qy4s9u8YWs436r+gsGPBGMch61XA37uuQNzJv2NwKwyyapbTtN1MLAny2dcFv5sbZsEBNmfelgD
VhOTNFmTvZ2dy1GPf6zizjU2IGyxOJH3/ltqt1eaxTxCmykYn1JZzauXxxYgWg2R004u6cRB9X1p
hcWy5oQPBH3q8DUr5Bp8VEOznVNTaD1+sbByNkyWpo+q/pd7S3r6o5hKNEPySpKahq1UdDEm+leE
lPMMnVofBPbAYzQ2OaJW7s7+kes4ZTjrwB/xG2nE42YwhVbMZglzW+ThrsdYjGudLzkqugz19FBT
r6BIdU/w8uSSq/jA8rtsaaHzuB/2QTk7yiRzmoD9yA7NoXKebx9WuykReGsOjH0Eiyg5mQxoiAoG
j2zSxtuEIUcPIQo7xZ6hsLDWA4rwGIZuJMopixbofXUEZUUzyF+5+ZVQf+977luXGMmUgp3GIaN6
jAA8HynLakcXnX4I1EFumzdh7o3yICCH5YvZ8ZzJJKoEBOjvlCL60YGr710ZDVRM5bgisP240gvp
QmnNw2kDVkMXOElaNecHN57oeC4FQE0AAcCm+dApG0gDI4mI8pe0I3Ts7Fx5hPaiI9pZV9ipp017
7tg1iEzB/DsGrTcwsBo+Hr/CZVjbbAUpJt26B/BIT9R8fq540bvJNKhDJ2SoTKgwGOAbjJLAq6yx
YWh/y2XRADl4lUouZIN8L/5Fu1iIJhvXCO40GQVvOR8RTiCn0HNpvHsd5kcWPq0xMzG7hPWryt91
rwXm3idbeVXZ5166okzodEkmfslT0qPQeJoQJmtUPqS9+w19unk/2ueRwfV2Iq1s46C6Bflbj5bE
erxHx2JNBwhMsYrd0Czl45G94InXpR8qEuyoJVeTW1gPEeRuqvuR/65Fg3W6OZNppH7cEw87EBTu
xMxv9xdvO+w2T4NK1ZH5wJ8eVanil3wdSY0ZxfOm15lGe2eRBWi6hU/Oi2G5oFmZ7QnMMafCilIw
nUIwF7jcLUJnNGmHcn18Cg9Mde1FS8jCIjUslWAx0yXykfErPGXDAYFzX2CcB19m/7VbJ6r0HIAd
XDtHPIniCP8k4ddnHuvvtgXw2SLR21wssZ541TpSnIW3F/WOi3pK/HELgbcE/EMd6kWuIz6So6qk
mDA66bPB1pLMHo01DZN6hTH+4UmTfu1u5Z6lm4gnhCQnR1hHbMTPPthnG+mNJbgfDu1OZX2IAVMb
L6Df15R1oUSB+jsUfX+OlkZeQezj7NO6Mqfxu7ihkzZfcv8C1Rkbb5QAWtGQj45cCLj4JyfA1CwR
kPb8i/wJHkFaG31nO2mPn0Zy1SeNNWg+W7t3dsFJTotK7i+gBApeYjU8QcJjh7/tywPG1SVZLMpw
BO2e4smZI9t0wTadM0Zzy6PDj7DI+bGLJsg+vJbLsMaFhkCLEW+yU04oDU1pKTs+tRUdE/6p91Gr
S5kSyK6nRlZ3OABgALiYKu6SarSID/m1BDuPHYgk66l4hJnII8VZXeuCmCvw9DIIlQ3fltISFfKK
DlLpZvY8InxGAnatusjxGEBwhU8RI2MR8t05ea2zEBy/EtYFHaw15914zg3gzU5xplR4ck7/sKhW
wwRyT75K5mRRN1oCiUstW5exGChrfQvZF9FTlssJ/BWdic7gqUSHm/yd/aOONTDX4+OPxQVxkGig
9ek4y0lN5AcWMkyaYDBcbBP6sKyQWT50xPvdOwp01eXv5L4JkiHFE4l2DkuplCUTd2TZ1ze3GOi0
d9cwTlU0wKyNAoMgAfqRnImR+2Tc/URUOo30Y80VbM472r7WP6fFPZSbveS7xq/QUg3TdRTRzD8K
xxpOwG+8DG/56aTekBVJhjpjV/SG3kL3+2MPfpZRLO/koq4qIhxWEJvVfubisn1Us0ZQPT4xDRK9
6C+zVdWv2i3fxdjE7B8eon1CHYze+/JfBjEs8n1Cu5zzUjJOz9RR038f+UO1TjQulxowsvwwtCKF
zOOJR8nnrJSk50qg4OCgzwbGguEvbCJ4C3T9hQy6jLFJlJE4aMJY+jZ+BJPyRPd/A3DyFH2jCMsv
Dvh/aQ+rD4okFV/gulkTKkhWkPq8RTHFkfqKz0j2vKp/tQDMgZ7qPngJV8QghnEQcupfRnn4C5F+
WMWVrmvVxaSK7KvLOu1Ie+iYkK7gjskm/TrsqEpduTvG6y5NVxIzAXtMAmYlaRtPyJvEHtJzCNtM
bzLiYJ/CAKtYo/5tSf0cgmV/OdMah27lcox2AOkVosbd0uJvBcYHbmD8yJhd7W0DqF/JYUFcWXR8
rm4ke4z59Wcq1WmqUkoTJJpPiA4CnCT8XaGo5a4Pr/cneoljU8kWwbBTe4OO5NhG6QrPjpnunkXT
YxPvmeo6vBCWJS68X5ibrmsBINCOkAX63PU3i70IIRaxYJf3q4bolcvaHMlKsDNjVo2QekxmJgK4
BMJVldH/LEbAnuGQp/PqeWDuwu3V1Ph0JXwG2Ad/fMKDJ1GS1bW0vdFSa5mjfCzd09eKtFrQ2vPQ
6CObFaskwFY3KklfVHg9uLH1r6wQ3NhUEyMy27/hRplkZnOgFRVxJaoArzTyF4Wd+yO/LyWhxEtV
ymVQnV9U1qsqlfF0nDLdCn3+2+zA1UIbRk/g/uxTDiphLe1ycZ10mOuEJlt5IT2qAmDs9abYdT08
lyDCJPwe/cC63JoGPmfHgsEBklVlVZ84/Nfu0DDbS7Yv5wYU+Nq3OF8pgS4FNbH3zh+3h4g/iFsk
mswzb7eoemN3DbEDW/JnqucnafJZILXMsmQAp/boRUG2c17hCNYtVDtueAwmerdbnhnQaGybLq9P
88Mmf9z+PrPJZYEwjcb6YVjvuDr0xYlIhJncDHu/aZAobYrQI14CPPxnxJ5xf7zgdCvQluo0Lqp0
f13O8wj0ATky8TnnYOf0aDFxPt+5O376m1pDnC6hq44WgbC/zirsebQlPnyf8uIpNoR64Moqgnuj
4hU+sotUZoqnaFK/nQPcgtsdN0mlWGMC7v31/WT39P7KRtCay4P0/A3zwmcv1kQEdqUoOaiMoqW4
bllPXnwXh0VxhsSj4zGYjKMKJparhO0hoKYIypvJgVVIdznWC8gNy+8IF4yKeVy8s9cImJwIOjOO
ySiNOD7UFV3dZJKW8IFsF3EQiFDtAYHtjcDdcCTVbBLMY/gNHLb8IxIof6AggkvATj/Fws79vuLs
lQiu6Ou3EjTOf4KKrgXZXztS4mBhSwXQmPC03QQX0JlRH2gLdCmtF1g7j4Sz49civmdgcbVGOHKI
KdaAH+os499Vvpgw1KOpnCsvfD4l54SW40jmAqGMlwTZWAE0QZXzJFTlzjwT3xqmR18mhDLwvudm
FTkukPLioVBLhEjvXEFB+lviW7GpD7AGCPb+rtDdsGAcLPxhTqJHzdJRDf963kaMyFY5ou6LDBJO
ls8OanivMJwjHZZ93BtgyDdaVBnjYNWI2zaAgD+hVYqIfVTz6w/5t30W0+4eH5auQYaMWsh6wJQ1
UocD2oYMR1KaWD/9cCl+D1YdaLHhO7+D/4jomYYF1ZmWvB0pMz24someasInzGipMXk9OS4r16BQ
fcGzY6X/0QiGbkSEmiCx2whuX5WeEPMcB8UZw7mw/tfM+Ig46QAQS75ZpRsdCoYVhvaaRFDoamgO
thzQq5bibv+Qadj1tXeDS4pO6dkJcpu0wNdXZFfFKiTMXtMoWKWusby6Kfy2Q+9ngnGklURovd46
wNyFPoeRCUECuGyisjbK3jb6N0LkR+JAns4ULLEYtGSu6/SkQRx+/F5vhh3cP3jB5f/OcAzKaDQ0
c2mnvDqjnrIF2o71myfg0bgqFo26Teys81fy2/wEN+iWUNk1FE+veG2u62VtFrwhRCQWTl6qPW/e
hvTOEvNdBHwiUgYgKwslIuYdOkzBylqC/2WUOzRHOxMH1tWTvW1mZ3BU4PjEsh/mJ6xhz8V8odTs
FN7w6bqo1IaMAxCIB9ln0nl09faE3Qff8BHCaHV78gdWVsja0m3ISQQl7pkY3ZYnA4i03e7idFjU
F0ZiX4ZnURANrFD3Li+hEMU98YYPxzfq27iURpId42kQxE7FSuFLpeTBfsEDomUMXvCJebNiRFkC
MthSwAQWuXdFrjEGE5mkQjmALKPuIsltB3KfEFSfMtU4eYFhMaoql0JjiqBYxjS6tSfqtT6Lc0ed
3TGAJyeNtVl3aG3W+D97XGxvCbq/ZJHjMFPXAy4KG2vY39OcSMyjuKd1DlhMccpo6nWw3sOPr9OI
6sTnSKZ1sm3+WiDJ/YkKAYIs6LLTyzo14AgD1TujTCuwxizhAvZ8n5jdHAdpcbDJAMaaGPACyC68
dtRfPrq/W4psXIqyhs4eAJC9S8sMGxwXriW8iFU8fWAWCLh4kHUqKW3rNYm1gCxSztrIyURYzDIG
ijq5uKjXHiRN5YKmga/iUmjFw2ddgwd6zKFjYikCm6pelpnnno6GxrCK7o14CMPh4fRq1RYnrTv4
z/6tZf3Y1ajn9TZ9EWzuUv0pPKJYD3oObx+aAZUOhCm2k3cnEjzd6QYVbmkJ0oBJzp6oDGySBWMh
fWTjqb0KfmAB1GZMj3hQEU5hD1fYRpp1ma/IpAiyVcKgWVnkK+4Qbw0+Gw/YOKvPe39hXCbWl9Ec
DkQ0Q380WEcnObPxhm3wLfO911l7hXWkD0vj8kdNi2cqsjwZ8hgN8u7isAAvR4HSCXYpAV5xGUCo
8JAQhqITyCUfEbBrbb+bt9K2g1gq1YQsF4HQRcRZ85eBmAkXU5Ch1+OHjF7zTadBGV2Tl1s/CapU
3mJV7enomdLLzuKE9jyVfnOqGc3RpOmLyROf+vnH+JMttuEY40TysZT2mV4+L8iM9DgHgEn04gmy
ZsJhZds0RtgTVmwLpmCtwD7APdvR2tnyvdu7eGApiBO1DHwexRqZ04QPRHLoVY3SjYofvMn7+Jsp
7fbSdy1DIB5H6Y93Tti7Yf5wVEF6JSSGOvJ8elwWCHFarLjwRuS/XDuzkOCBdT4FVyOxfa3Ud8Vg
AKTACTRtX7LyG5JFxc+ssj/r1n+XTfv5CFQWKCVyHTRoVkDsbVXYQwx4G/vVqt82gkmUh1/48uFr
9BsGC6BG/lH9VH+KGGPKLo8SoMy7MgyadNbepdr7KZNSRcyiOnjpold7+MlKBnoSH8+TyX6ObeYw
7WjOryzDoazQ8UhIoGVILqwu9CIn6b6ASzyskXoDqLsCZXkeZ0IDVREAfdc0BR1HwjPk1J5YXFjG
KCO8x7qG4Yyacf296yqcChuqBgfPFmihdGbRrYqzF2L4wElSAzjE28/gC0/XSGNmqhgwxfwaSclu
ZxgV1RFmjQs8Bzyns2Lxe3VuvsAMBbVg4a3Q/zLDI24TO+4vsTie85LL8Lg7uWMSg+G/jrUe7pkG
REBlN7abcAyLBMK2rV4unKwHLheyLd5Ox8sqVLH6mIDpKmITafq5GNKCJVXMz7mx/uqlLYGAdo4h
fmAoAqO4VdGqz9mil3GXiYRpDbF5l20MwdJrelleAxMSdeydSywgmWEP0FogCF8/tj7qeYyAjkUN
P35erbzPbAXFrZ+uFeyqC2wZLc36TFeT5hgBd+1Ntb0BQFqvFZTm0ZOl/MnvAf9vsMESR+dGjDfY
AX3irSiADbMxetDCpw8MOEDAMwZJkxdf0uqdTcbAFqKKy2P+7uZPkUV8LPaUVuaSF/V3i2OLjja2
vVPgyhMoambUok5oB7KhnqTzA9lImLNkM8+gVXzKjZ0NlNz8HdSriTx98mskUdLdI5O5IpUNdP4C
Pd8OTIszJ3imQZo2VnDoy5wmuVUCZU+4vPVfeFEbHmK+oRnwrdK6hLAzncMIn1Nj2wC6uyFrMidq
gB6kqSuHEdbi9DmjeHE/EZC36TR6zM6TI6Bw+nDoSWal7V8vciUO39IhB5RBX0VASCBnykvv8v8g
Ybzg0rc9xMTanD2Fr8u7vcNfZrbfe+OrN0QV2dMAmKmG9IP6TaBv6yPmWbzE/Z1BDFmP9nMF8YYH
S21bOzVLwHm0zqtqShahsK8hmwlhd4bttNqtcNebM6j0FPQUpcSlPdxIBWPNMPC2qvkI36kDcjKw
XzmEZnLWS//s8eItzeTbJf2isw2eaAyfWE5e5t8v0mXgEvBJ2h2A4LBpCwX7WJwZBqMsGQweRRgj
DdY4IADJoFMJlIX+EyMIGR9jY3EINQR7TXlfZmzPdAcVpAxtmMkcO4QRdZJ9lNoYE8ydTtGIGDrz
HIpnsmAdbIbNQDijwXxSZBD4fP6gy7ioBJFRt5Q2e+1KNPjuWi3jvUAxubPPx3XTcOGyAHl47jnj
no3bCyVQ29Z5bod/POKVjC9iV3P6xP1CkD2b5FS79wLV+Bmy23+1wcIDdl2Q8G97aJUOx3T3xzjJ
BaDxMlnWrvyPykSF8lBKZ+QWboR6vKgywoHxgkEri9pJFSAWdBWlPEHI4vGhEyi6NF4N/iEUeLQt
Pys4MMxImrhsyUCuLh5o5prS1fm8uowN6ROsab/U3JlHSk89LrGgCJYPA/O4Rx4OECddGX88kBJf
HKa/8LUQ+HbMYWP4TixmERliUPzagVhpK/RR9UtgCqCrlqEy1bMWjrvYehlTFXYeKir78nSpC1sU
m0q0TDZdVnwVEOpWv1q6Kp8GzBsBgTwq2Z9UvGn0or3XgvCFXFIGh+vl2OSsGR8vySjORDsCkb04
FwY9H5FG0V0eeshEEHQD6D7/RpS20CvIFpF3g+1npk/2V/vD+kLJkeUT3nj2sF60EUR2ArqyB5L7
W4X4EH40IP4tQBFc6jfRcBjrjh4JI44ehr6+Hy2XoPrVWfaOn6ZVLC/ODP/iWaPN0LaeM/z0NVhK
L5I+bfTNNrQqZ52dXdGD2T11RYts7P9q7HPwAQdFUtOxE3iDiFJvjwmJhM/pVM04KDZ1FlDvxgPc
YzIqbVFscziPqN7Weg7WLhKi6uQ7l4IFUC3Rz6v2tEaw1KB2NSn9Ud8P4qC/5RdyxYWlU8AbkEea
b4ukyGaaNKCEUoUtMFSwxugFjPZv9NBOLNc0fIKnEv+o5pCQ4N1/GMwUPeMdG06wQ+NVxMC5LgrQ
/aJWoDMwd8hk8eBLDWwo7P4nKfdIHlWEpbzxQwmmTEjgih3qd76dGt1wAS+5csu7xiegLAaD+NXa
8qrBd5fXFyEhc5xkX0JmhFP6F9+UAkP5iuA249iQsAOl/9T56SHqnd+7beyTimmizzLbLu8eSfyN
expMuL3FApcjAe8pH6jM0pc8805ao/6HB82btr+68QTFdJPrPLBeG2C9hsVaAdJtcBcUKt4T9cW2
BjQCKm0cabHNeaIQCC29kIKJH0NpUvv1C0egO1n8Dh6xFPvg86CmQbTsjiNp4Q5NR9xWeaJqvy+B
hE/iVK9nv24m99PZvWVoVGPHJzf+Gkak+m4ppIRrwJ4a6UQ9peG2CcjzdssaEVP+7OnjnY+73Ynp
RVg+wT5L5NTVs/7Lu81K7sD9KUQojm9XwNA0bxtU0cL65CIxqk3EMjL69Zvj6NBaE+5LhNsLz5Eo
0gWbea4zT5aZBMqiavEL2uLlB0/1wOkpQiRI9UuBhm/srfTitQxA9s5HrZSaOPgLED9/CwW0fMa5
YVi8BtkIQqELEQ3HjJHdYKhAn1a/YlhoOGgzoij/F8kn1bwijHo2Hq2gSa2Ia6pqlv4KF1uL52Rb
DD0Xxsl3XvBQGuOvTaJ6oyGqGm1pIWWdUEwpdgyAevH7+G2Tcap+2pAZbzdLmbXPeV2yFvJsuNqx
kgSAHtiliR6PA/sGmZ5E5VUzKwlNTWj8gmhA1MQNGHOlfZ1RiftL6WJ20NvHXCNBekP8cm/DIkq0
B15iA3FSNuLLutHjKNsgk3O3RQd0/zheHJCYbF4M0aBL+B+L8Ov0ME/BVMDQjwGCcLM/+f72o99/
ksGjO/jPyXy6F9kP3d/tEnaY2euzd6myFi0TmNfXn8c4hy4L43UZd5ksvIs3K+6EXcOmvEIxaBTs
lDnRqAIOVmOxleXhyTwJB+Fo2KTYCFKTC1QmWPQ1bVAvbHxzWBz8reF9cvYVOh0LvwPNT8zVd6mb
N+pEKItQhMAuzKsBrOXN4ISc9rW52W/7t//sqeRwCP8NNrRG/0D5j1KXPgjSu4tfrYleyAR+IK5s
wkoXyYZi6p7hKGlMVYxUNMu44GGRl0HILK86jOPu97n3QueobJMjNwVGfv+dNE0gxkxXeNI5294L
oh2aTTfkmwfgXGRkrySSByi3K6BBAu12MOQJDsJaJxoOILp27+LdHLxc2tRua1pwGvvv0N9RJ+1t
LdWxAcHQmScgsHYAzPFnzUra4WRLdlTOy7F8cigoQcvXNB4XOmoIvJEg/WAuUl8HDeLtc+3sVPtg
NEEfjMNvn/7HWozL70KCTtLdg2wekTEkrHE8UqaFXENZ/Mw36TnZ185s/LeWOkzeLKBwUDLPKV2p
AtveaShn5iCZG4wCMAOdzcw16bl9wEolRVBtEg4zyxNMXWJEsEG5VTvdrsxeg54HlYPWIt7Gcvj5
fexu+haVwMtDN/sCYhE/LqrtdMdd79g8Ntk/QpJ/EzC3cpJZZ9uV0md4yWJLIBU09v9fmD8BcSnE
C9K/cC/tWHfSC8SyNxk/RN9uaLiMsG9wxwxEJBhZ/DnC6YozFb/dWVLguyYK151RCBKkg9CSFsl6
d/sc2BzdLTungXquC16L/9pPFs1Y2SSAxSeiNuBekAC86FxO6ArO/XNnzguNqbZNaFioyXwh4g0y
ZDJVxWvunicEgX9Yi0InVWYya7tDToRJxyr3KQHW4frGhTZFLuxjBO1J9AETjYNBEPR30TbxkkFz
8vR2N4DRwHj1zjgE/fi76GeoAtS47rzh0SI7x4n36EHre1rB/cOiDdq1ysUJ5WEYgDByxOT/qEGF
8dkXrT2NeWGED32AG54B+n6g8AOHE9x+56862C0eN79U0nA16HlQgNoWa1bE2IdWmXEGBl4Bv9ml
KDdK7EkLJur9HAqDe2fzh4IFz6ZNT0S6e18fh2S9vOKA7DV9a3DIdsLk22RLFI9N1G+6xnpXTgWX
4BbsuKFgaH/VEpxkoyaqp3EkIeBvIm+CQH5dxDJlOo84m40+Ewd001KnyTI6erswYIK9LrnOaazV
2kgNs0ETDkvgByXzpqWokwshYdo4+MqewLm0ocT1xCVDg2j5gkE+EJJrjGi/3ryeiKnZmsazgckL
5s6iGmxaI5GBYdnGi8r3Fohr3mczMa46HI7+Qa/N+JlzDbq+gzbexIZ59BujEQlUkVWGKzF7cZaQ
ekEtEnFm2xFZJJ9nkgkM/1mPddFRzTBcaixbOslsjZW1Q5wc7PBTJrklSSn4oOwOM7Ti72rPkfs5
eRaNdWFXlLGxxEO3ar1JDSmAOC71YQj9YJ8iLWk+cTwEIYzhuU52LjUrm6+AXnwa4EOS5YdlRLG2
5SLWRElpm4K0I1gKFMtD11qGqf223cJkOoUjjwEwknG19PWBB6q1jSvgMHsEre6cgLPyDJUMZsNZ
9NHaG4RAaroPX+IiZ1MOUVCi6mMPtgRW5ql5FsLk5aFanFZzHq7bb7yCK4GVWW3P8ofidQTGaUpY
1GV5wAr4wnqV77HrK9PnqE+rfnQt2TlLKg+aVQ1tEpKk4IwQrMD/AlcE8tyY8dmeYNJ4Mse/fn7K
eVHqTk52ZGA5dvfx8KL2hJ3OTkV2UW78ooTsf57O68v2MeGbz7prfjn6al/uLDNN01eTMC7FVosc
RQUeLDGfXvTmJLY+WyfV5Ts69hTLsZGy6d5tDBr5EjczcmXG5fbSGYk58kh1+mag7SfG3nBFXAOC
yi4Iu733apwP9Mj/3WzRMpbmlRH8UmX8iO5osTnDUqhrH0SCiy2aoL3qD7AawdNhZAA2UNIXbtjR
4cDQ9+HJ1K2UGJ7fg+qr38TbFChCFhegoGD4JvQz0ZyB2Ez18qd3pXLzIG3oWPxRrRBINFiUBOty
chBNFxoqyH05lN6wLtBsgiTbmxb6TruvNob22b77LxMkF4bLc5kx6nADfVryjJAT3pgIU7xsRyDh
0aEGOJSueg8b0Vh1m8PBVH5gZsYbBU8qcARe8S9F2tQQgNV0V1kNS+SQhiHZAhEBa2GvM3lBVAcY
pxPho6JLU1tQVIu0KIgKA0hB7gU1RM4vckXhZubzXqKS0O+4TzxrNOMXlSyvCH3MdZD+kPJ246fN
nwu79reRsTVhl+YBERB3aoJZXOXe3xOSeiTqy6IiXlH0DnZMd7Lyt2T4KLUljotdWjdrbCPo9V0o
u4Cx0uTxK8jJygcADcAgj24PP6pr3rGQC3E6fFncClOVEQmJL3vCBIByzpD4mVCIz5v6uQDQ7SY7
JoVymcZKU/gWLFbKJ95ZEI4g4qBs78lj3Zq621Yo0iqYWFOu9gVlDKwobneaXw39w67/q6eyrRJQ
AJUpzvvnduiENdzCmhAwnO02l6xF/TLSST+DcGKPo6ubGsTq0zaHJZDkRDozlMC1H+Zz6aU6TrcB
vNniFqiNf7AK1q2KBRqwhRQ2E2hAuK9P0eApRpzAQVGLOrQo0iHQ3jh28k3WNCH8yGcjCI0t6RwD
Gloha6qDCcq2X33+bMC9WVGyC9LG4OMtPREb7JYOg+8y//+juv3X2Uq1vu3dZaiSz67XgQB/dHcj
WkkEJOCvvzzBLjybuJbSzRWfFshaRNv7atz58RgMDHMd75tg3Yn0ooUPUG0umVQ8aOtqdJopNT7E
hdTvQhy1DdKLeTqSPW5KMZboZyTAXDsPX2K/so7L+XNYnsdaZloLEF+zqHnf8c637qGp7IOc/x08
5YSxBpDvzjS7q45MrTrQlowDytxMQU9Q/0n4G+Av90sfu1mf6Pj3CwOmcm7VyWF6i3LyhYOMk3xP
abtR3bZKFCjevDU9GZ/ii6RZBCvj1uIqPl51ZUvHgIAFF61mUozZhALwvhH861EGmF7xnGZ6Secp
GkYh9aK6gKVGg+oqGVhgdDtebEWSOLkinwVycbCe2GkV3qDFa9/ksUCtSNgTbp9dlM/xelSIuNeD
SS9A/HpQFmUITwIAQGOgQPddWhsckmaXyh+B4HWoVeuLL4dfEjXHtZjU33lvonNc1rl9JFFpb80z
qdg84M7HiE1XgTV/xryPwl2rLB5W1+W1RxiUVwdoRoloyyEYNfGTCFlsvqNB0MdWqh+MeYBbdkHD
It4nDZTE7DUaY0f7cpd45JdvS5VZaqYRYV1u0bdtr3kEt1M1y5mltSnwk35s1sXvzBbsnp5lhDbB
B/miq4EBkm7/Y1UuRAs05o4dsKXrcxurN5U83Hy6pdRGdatdW5hRiwuD9Q47DV1LqJ/SGyC37EFH
249jiM03XXWqyDx0zlYFEs81v2ZLVzPFRRtUy6TKf2P/egTEQF2diXeu2xCbxu+P6/2933W/SyzV
W4pwxzr8SQzGAIy3AltuMCQC6kx3f/8KszjBTLpiuEQAVtxEwhlNobWlYrCGPPRxrDpKPD5pNlCH
+SKf8l4u6TXyUX5dSwJokEDcI6pPFQwDNyAyYKmTjr8Z2csNstDD04CUH/gr5EeNRHzjDDtTEnmU
Gp+r/CqZJipej5tZ+KstQnkfwOJ9hX/KxUBoBDK3Low5Ad+gnfGtSWcVvVSEnEvI0YJqnUlVFst7
7HQRB86oMHrjVghI8Lx662YJ9h/+y8LGQBPnOQtows6WId7jtbFyJcdtZgo/3S2DggUh0PIesoAw
9hep67X4Hf8ibxfJXNTDWW6YIdSpwGVD+3YHcd6TeIkepMnaTXtXTleddO2/sIjP1VcOPJkgHPNY
X1pb1CpPo69E17CWNdfcUmMsz6DTA6ze5rgud2ZTP05rqRmkvUG68DFVwz/jI92F9jK6S23jv0vu
7xqxrD4EeAE0IgCjZXJTm8WDlMy743MoAfApAcCQxZZgBd9VJj2bDfeIIRExNgM/sTuYh+UHPiW8
f8EIbPPan36nz7MOiImkwZP/7+Vx4Flap3/oJH3UndVYwugl7NAgpC23Ua6Fo8s+5T29IOVSgSGg
fR1mGw/I2c+8Zk7p+FF4aYMl0NRg5Vk4Whi2fy2GtQx9bUcKdHVy9pOQfp55uryHbvFww74UhUJL
iq7biyowQ/oKc8UFSmJ5whyijSce/YeNaY43AeddzGU7hDgVfAcO/d6B+6AD7KBR2Ley7BY1Ay47
hqt9p5enfqQPzGDQsDTsjKHABQVUxutc+cvCV/1mbEBfjAvLlahWHW1YFp8dEnb6XXaLNVBz9FLL
gW802//UCQam8YB9DLioYRgyJbdakn1sy9TQNee3uIomEe9iixohd9XHT8IOadd2bZTLJkluYtvH
Zw9pd8V/2HycrnC86S6ffThlp8hSrfYC3K/3VypVCvsTROwXH3z+yk2Ul4SatU+GIsx1sVGN33jE
btmjd8u1ZxWGw6o2rVpq4xQM5jp2g3ErLnnbYNBxj/0ON+3OJvzykrhimBs4qgTH93PhCwvGdeUj
7KWunoSFdOenDYnM6igjde8gVdETdtxfYBAKCFvAPCtRSvuXLAXuj3VAjZdJfbboJ9zTLz2ZT2NH
a37QXl2HTfqc9zBcGl9Z5xHBB5NhshBhkQZNNC5HmdwCg0Chqhkle3rGoKOOSTydF6TvFjvamXOI
WIPEg4bnPAzRReipoXR9S4SEd5ia6rCRNbzvq94LsSJIO2dvZbKlP6IFEF1IHAApYtFdLb6V3DPo
nONLqeCeaL+PDuN9ZPh7YGbymI/nCYrPx5tcNsi0mGmHIfsK4/baY/l2yMlg82iGgo3+xd2LIs99
bdAzmBCGIAG3N7NYAzpxbwZWXBOtnmSzMMCfdY5p+OfhDj37roFRfoGwJX492nWOTH0JNPeueraC
TrqHtbbYtTaDf002yqhICYo9xRS0TbTNVheEnMw+Vez5JgXtrA3OIekhJj/QHwo2BETL3JYzkXY2
F2589d6b3SBCWI7pnVsLqLRyLPj2uoZFdF2I6iUhDeASxqLqjQPXA8atOcgowkmzFbFM/CR2ao24
hacOCgV24Jzq4QDU2tImpP+UrMckbkfJg8ewB0hQYae7mZ1zOnCFodbZiRQSEaw5FmjqvYa+OYXb
pCL189bWUZDpnyf3KXQTaNzCFZdZIYM5pUgBV5ehHjDzWgHJDxTcPib32c8Mow19oVpgxQydTK2L
3MbW4YBgCGYzcY2pQ6islHDJ3uOT3C9Cu1po5khjvFJFSKx+/gT2lxQ1oBP/1FUW874+Xcr6Nh4X
/KTx9ls9qkyzaIt3HBaTEO9Vn5cMrb2bOzDDerFwvUAfJa71we+yQaxUi7pIGSMiJT7SjVaw5JI+
Z8AglvsZDypvIsjXgbIgqXDfbcF64jpj5f+umTTlWYrLg1WJ5WuZvHqwVuXV/HVZAbmPVqYd2DhQ
DPcA6C8elV5GhuXjdQOUeeY/ZM1Qmj6/F1LCk4fEz+VHSkpUKWeWjwVYESHrPM+x1HwUAGoFeE7z
VK3L5aNjFPyM+fTvrw+D8U4KvWPfNbpTn3HuNw5R98/N7vtLvrLhMHvF55R++EF2fu4FY9OatDEX
0nUuP4h7Ys5AqM/DZfxuNl1XqhklMYUbV7KeGHBuLqNFSWiD4n4DwEdBGj7UAmJq7jvTEzdUu+Qo
H8++lnTWgTmj1TY/yVU+K24QDBBAZgaswpOVJnQN5qcL/4tMHNKS2HIxyz8z76gtu20o0Rq6YMe0
EJfL+z9mwxCpJZOzKLwBNPAkuiF1LrieHpMPeQduyLDr64DohWaurJ60PYaJAnHe1xFyurPWxJgK
FxGToBQsSdIqqZLM6NC9WWBN8zCFYW6XUkEPn3dUOrXC9w4b99yoUsvyyy4FPoBpiHwsiAdDgwXo
heMUijlfJ4Oa6wEOCaQ1dQDLBzvfjTuS/dK/+DTG22rtkLr2i1iBI1vYImeTTX5xmVhGr3Ds0Ucr
NacgTYb2rHDzdknDPVtD6lTSK5b2P5LLB9jQoiGiMTYkQPE4/eUFhwHKwv2I1E8BHIVR44C6igNP
2QRDyNX3VeKRSsypwcezFRazGx42q6DNMuNQA/Eo3fkiGemqsKofG0Uc3GNsk+yhUUgf8IidHyoL
WLipH+7oG80LZLrou7fLrI4OmUYASuuPdPhUeggDQ1GMBOdZbJHLg5MnR6iQev2G2JVWPX9yrWW2
aowEr8Y9++Kx8Zd0HbXGmcXyVdQObGmRAhbEguoiuGeVqfvKM9ebsIpHDpOuHkizNhtT0xsKXS3Y
5nMiH14o9OOFzpw3bbVqBDX/xXLZ7to5AeZnI6u/cko+MPHqxs5ZwyD8PVBZrDsonkKmq/9sBjeH
3ChHLx74/k/sphwuQXY8ULH/nVvwZWcXw72W6Xv0cu719Cf5AJM5kUpxaNJ3Pi+9d/I5VH9Ov6i+
fCBBUWwCVl+YUJUIAvOR3igyF3ovUtiHt0kaRA8EquSZ/WeUFBJDMd8VOHLNBDLgROa37pv1oqtN
evOUw5FaXLL07gHmcSffqk7XXdCNEnYWgRguqPt67R8xV4Z+kDzgi1SEky4J13UrUvjhTxhS/Y/u
NU4ipkpKgYmC5DivC0fWV3dQEy21BPjFcV04k5mpQ771d+WeecjvkWsAw93cR/kxertoez8JZ6Ee
QMIs1DtftM5fGVgQveBLBPxdZ4E9uD5cqiO0QqBCO2loxSAcd0jMuDVmufaAyEtYirwjwmK1qHpm
DHkwlrh8QCoP0DmapPYA+OrhM9HJjVLTcv5sZNUsaapMixfh/I+L09BKu9+sx0Ytq2zdEfW/qfE5
FWfvnwdXS85bMHffS1svJthREiF/U5UU75KdqkeXNlb6hedvpt2YRbyxL/nkuxW4B97exnc80kEl
ehyTFdywk5HG5n9SrpLlrjMXvQ3COYcgseOUom12YxZmbgKt6xo8WXLapTHXb1jMzTgr/zx71qkq
o5c/8Dld+GKJhLmwgfRer8jAzZVxpJs9Lh0aJQiVVdvxOrt+Y07ZiVE93NyLB/a/qZGf7ROcHiQJ
Tf3cj/zIGdnPQ//OqagsK/dEdlEo0p1qwCjIl+mROR1Hb5YWvSxzGA/d58EqoYZupTQvp4tYzenb
m+NrgQlpInUzxF/eBXIFgOwXIX2/oy4WfBtlFb3uXoIAfQQieEWP2AxQB+bsXbCvKTyC5CXrIguO
8S0EoAkf7VesxOBj1isPJIQr0d9upAyiQE1Ljws1hEHyrE9sOofYWx34vutBL3L/L2G2wCFpUvzn
v6+PucpE9smvnRuXXCDoo6tHn+boFIqvgh/LZYGRyGdisG5I+0oU5AzIDkZHbNcALllypwmjSZtA
lwwLQAnFj/MPu2vOvL+MoLhr30uvTZiqzluQxET+AGWOS/LetPdqcmwfa/R+dz3evjL5TSNv9vCg
Tyi3dI6hVakMTPGFj6ywSuAT4VejGzTJhZK24jET3fKEJm8EGKXvUMrDv3oE+AyIED99sBU9YC6L
xCpuNJqFU25SJu+DzAEiK1ONrvPXllxi95mMQ5WpEDpi7aTDV6eYQt1ioBNl4yEqPF6ST8lipeH3
qSqqvHADK0y4kR0eg0SWZ9l97eujKVHIG7O4sEuhqK3LbEJe8d/BUTyieJqvbjuVbt6FtsoeYlQn
mr1AvZC521g9THtLMDflV3zxEdbvFiFs9K2GqxzdRp1OjYEbUruQ/hrWd38E097hpdCWoq/Kbfun
oNKTqYfopRmrerbGll1NWYvH9u4cg7GVXYPpqldDgRYQVielWvLlBzJz89Nngkd/pLcsE0ihY+uF
jGH23P5V2JGNqP/Pa7MnLp935bU6tsmeQF6CwfUGQtTK5JVukwSOmUKweQQ1ovAqL3Z17+6in3PG
+9M0/Qrq8ym2qlpamzqDJ1sAEPaPez6yEKzt98chjhJDS7i33zdd8kU8w5JQpypXMZ3aPhctr3CP
+Vmpvs9FqjnsA5nV0LNs4YLTUeWnTwgjLQm9Sns33LGrNAa9Jqb/TjGBc9vUOdVpfo/CDVZKFujA
m8lEEFXQZSPrY86fP9HIECbqFNhV3C2wS4NsoQXwgBXGeVxPdxys16iAvQTO2JMQEoCkTLeay1V1
7PPM5uZHiLEzth4GaniglFiw1XCm+oX3m7XPQRz5ISajED2sHaUYpgTWlYs6rLrfyEmDPObegJP2
LHlip00KGW5ABRsqWZcNn7UnBgcsvTgsChkn64L1Oeggs3iaLMH4g5OhZUpkI3AyKRm9rD1mY7nv
5tTssvCDbuaK+Osn6iTCTJ4grQJdKOYmDfd6U4fB4rsXjeVKQ041ZdvPiuVb7dJzIK8IMYJkfv5O
yBhgY/mCUlJtO02Iedl5dE2at5plUXsXGJcl3dS3bhuON5PzdKJPzXwQ9AI673WVpWs0oPG/8B5o
VhX3VSg3DLNyOhBc02UsX59tfYjzvUYlbeVcISJfTqXnLsUZ0bBKU0RNqevuE2nFWl5BTKLyIxOA
pGG14GqwH4WhI9r1xuOi+bPNZGx1yxpQQPIMXRUuWwuiSDrurHyiQmqLwowj3mg62PY/pItp/mUI
WtWFPfukeCqfhP7OLArEnMQEhzdw05PIpD/bwDtLYihWus3spJRJir3HzmghKlRJBY1y44nGLyGl
AIekM/R1Asg6yQem4GdbceQkvVlwkcYNn40nFSluakDyxbQ3OJdcLI5KUe3LtJ3MsMp9YxIhPUMW
XYQc7ZnLJ54hddNo2DgM9rr0MdMznIcSnyX3iMKEwLnDmpwnwU6QawMTMKpaY+xlLgtSr2Xhz2v4
PRArXQUwlr7jj/z0nkhDf+WHe69/3UwK9gX+tSM1c9ktU6mwiUv+pCxQbO7qGpmaS/9fUcYE7Uqu
avJb6jqrPmPUjXCX7vl8htszdkJqG5h7AMPWeurTmzqqswPRiN/UGiS8pPReruhfDozgbMtM0dfp
Xclx+V5f7zrycaCeCLvljgCDgUNkYHUnKmWwgfp2YsZDStnMBd8rc9MYC+TOHToToKQQtz77h0AU
+flAW+oe1kEuhEo9HmK6vFgubCm0YQtQKDgLiyRczOpLHisFoGnpTOdRZFDD7p/ZDCjZyxY3m7um
poqcoHiVhRPbmZr24D9NK/6FQRYmjQYxDrEANVVPDhAW3vGFQ1SYUIfTIHcuWV53Tmh6EhAGCSlF
COaGQgr0Vs29V9qRHKv/dP+h+O7tKOOrfwwRij+h74x5CR9lY3x57zzXVlV+tdCefthAAIjUC39N
jNQ2/2tY9T3umM8XkFiE3d8NqZZyfry9uTIDeQb9mf5VfuPim1lKLrPwFxeSgfwx7Wf1PT9/YlLG
oPE0kJNnCl9NKGWqVbedyuzW8ct/6I1oKJIY5vsOF3ZEqompNyKs/PXfvqmviVGB11Vm/NXDWwSJ
ylCAcwNRkEGIvRGpkBd3TfO8Lfdv0ZahcL5pXgqWgTHebynYDhiZtWNR9YIVxARMsGPL+5UmpFd0
fYQee58CL9IYYrrUAzDlTsagQVHda68l41pbAFTdVa/sUkR+NhFPqU74zaKrs8YNk6JqEI5Wd7Kz
4CoTMtibc6nZQ9grx5ZbVyGZEsce/Pzp7cdE4rbVbLJ5EyCMbahIRwUpfLknsJYqhOa4qHJFx7g1
3TXqvs2n3lTJiFF2oqeIevxUAsglTtMAiih5RBYiX9aEKNeawZNy15f5hzARPpUatDLpEnHTbjWc
uCg5A6ISBryLyCwGQSMfahQint6ySfmoHm/fygTHZ6b4n6uLrf8wL/Y6PRVKXFKUwnxE1YnH+CE5
WwUpPJ0kkmwEQCg8b9iYE79vFAi36uGnShiosXldQWTrnxSwQQnaeQ8ux9EgDYgsLu+301fc2Gvw
+bfUsHepILk3wjPAJTaX/UF/Czm7h1vgMlFDEji7zY0YJ8O5gvAIb3uS65G9A2Zn1vpcTeY/Bukv
DG3zGCCL9mjcLdDhkf5yfdj4CEStHCX5Ui+EE2OHG34q9wMeSsh/zSie4oL3OT6ZByK11CCbDHk/
mqp/8twcatDf+UVY7Yj3Z2jhXuS2hPM9JlmQyT3ERKy405uzSA72OXEaZwOxzQzaPmlwlAQlEIIx
HsMY/x7FcX680uMQJhVqX2RuBQheewmwLpBp4CK1p+F4HlZamTmlrWxdbIX4Fp7KVbK27fajdh6f
Kv7CDYFV2Lq0TQwmToal6z88S8jFI8SAWVfBDG2wdgicb8R7/2OGxOJ5c4gzddfjWFWaLGpXuiOY
BA9tJ4q6a8px8xhgR9uoR8GP6+VacvxPtMC/gVcoLcQh9/ElLqsKKdknGmukWOltCzrTrUCxRoc8
G7dV6+gKYIizwglsuIjHvWCBbd1QMFPDMtCu7eR8NWng7qrQGCSB8de8PyCCU9jAUVO3ALawknBG
PzHyAnsfl+5S4Vz7jTU5OdbQ2FAXpZpuDfy0jNUZQw3rAGa1/wFzIAtmDSKlw86aMDYPVQbCrJ30
el/vX43YvLPQeRr1Q9I+PNA9yvezXR2Pn6KbS+zpdt53IoUkrRI090I12vQO0NvO0RimVIz8R8yB
Hh0P17o430CltSrqZ35U+XIf2wV5lw/rtxtIMj22/x/NFdK37iV7fT+ION7AsqxLMy8IW/yJVSh+
XjEtk1oFN2oLxjtHuaSLMn4nLnVaA2U9hRaBjW9bpcVwfxm2Q/vYLTSsq2CbGLSFkeWZPLCAxamI
9olZcIA5x2smBgZ68DsJzTCd/InP1QybnsCutoplv59wlRyA226Dh5M05PaORHRxwT4wquXrWXuB
Tq7ujMDDTTB6iZ3cR6dfhugPFi3DsgpPLP7IZ6QHbqSo44kXf4hmh+v/90XSGc+l9gO84RoxLcBU
RiSQExxdD/fVejEQTjJUvL0eQs8Ei2Ds1uOnV13mB6yxHt5/y1YGArdC3Wj9StKzRGRQ9jY64y5y
kTAE9oll2GxPuMqcDaeyydGpNQZy8U8hYpom033t/Q+Vr8MV9kvi0gMTauAcwRA8z58lm7oTVsQQ
ZkXq2WdN58JUWFbKXlkKLoji5jdvORf3dFc6y8ppZJt3gA1CPcOmFmQxi70Oe6Ab9t+LF7THhG9L
cRSxBPPAUWzNtAZRufS9hIqAA8vYSR+nCOgmg5+fFTtP7DTHQZH6srx5dIpkIwLHxD3xcWNJq7n2
u5zIy5JdksNE+Cajz32WjgrXJkPq8A9kTOsKcb3KEeVOXrwT2sGFJxItNU2KgJDhs9w8TG+yGiQc
lsoNfcCle6gU6FfvXJfT1TFteaJ9Dm5oX/h0711xCOO2Hte2cKW2RxpR0z1xD5bWUax3GBc1TiQc
iyXtkxTabbV4E1L9yQAxKsZpU0GCyaoDC8zvrpvbqwPTKfBC4qGBQlU+K23SiLNV8rpgy9qbHOXg
5QT2DDipbQPOGSVU/12EOL9mNUQf6EJfFE6nyk8w99FHLc/enSQDDjnD/ogB+AlcJULAXcjqcWYj
L1hAn+JP/ZCZTzx3kL75BesAPbvpZ3PDrKOJNdAZmrnoM5fnlUs9Pb2iVTJwL04bmuyc8in0w8rT
ep0mDlpzeVpD6MxGQCS+ULhbusyKvM5BJ8ygLuEPaN1JIpERge7Ttr9ZioXem3oSGzvLhBQ9YAB8
LB3ToOhhWRTugY0kQzu1lirjtH+jzQ9QSs4+pffCNPE2YTQUtBfekJfgBVQS/lwgxvTQ+MnbUTPp
ZJjc8MQQGRCALZ811nfoyf22bZ7b67azU+55rI2JmTdZeGMo8ngdWefm8LXIu+3b3KA4UYet3F5m
v1Z+1Eo4g/Lovy8+XZCXJ+JXV34qwP6DD1/UGOUJw4YYpGAo8pDxOjDX4V7KucTDgHqNo9WrkO69
gs88v/kFproAnLNo2ubm1bwghYxDdxQKsxGE+fdlifbXrJWKEH18whd5FKhcG/7tQDBUdrkNbkXR
fIj9PqU5hGhKdCRkj460HBTm4B05YqjFxX3MhhJ9dErTzBHzNGgoXV0QScXIGfMR6hCWcwcQzc07
xByMkvNXaxKGlbdrHU4TGdkfNBa9///txPZUyGbZLtBftZ9WX2T2JiYDRjRrNyDxxmQ64RmoCMgw
QOFjVIQ7SMrp0LritV3vprE7f5VUpmkjrQ/A1DlyewSr2Y7Ko7+29dplebNQrp6OWuxrpmS7dy75
9afzr+BddFXhYmBixE0vcdugkVj5C3srUbeeiYIngHiMF4j67UdBuBRnvE5KwuQclFbw2D2CIHgN
JYOpp0fFEJvCHxxdhFtldbnOpnfeSAumnWK8w6HtM1NoLmiBxJdgst27klndadE3yYW85A8bYmZo
5awZDc2xCTkOYye1SQ5F0JBq02yZ7pf/0tWNiwEnQ//H+M/71jilW/aKPbCo8Ufk3V7FRIRreNSx
smcshRUip/9PxNpZH8xwGrNt+4MhGr2YNDFcvImonGYFT9Z4IzPvPdf1Fb8LUCzfqP6a8BLAsK6j
EFrl7RuWancDPI03vtFhnHfpR44igMkW9cOrf47bKvmCU9iTJogwzA9Lkn+eAdJsbW8Tq2M3N0Nc
sR6JKcCIG+t+UhF8aknsZ4C4GYUMYCaqkh/mMW0zkGO2utFqtKBGdKIC9ctDomvQn8I4RNdD8wWV
DVTyVaSYnIaJkmEtINv/yNkA+JP1OjnDdRsm+fuutXITXop5YfDbqdkuSWbicwHngyxereppNddp
QCBEjxpbjW9Rd2Px9cXLh/0OcR7Mszw+VzOSZzP1DB07/9aXWzcYusof46uFgnAjt8g6UhngFRq/
Qj535tDW6EEAlWsoW3gtp6+zLWqSOAy2lPf9csqvLRlSYVlVNQzdI7fWtEjE51IinjRmCaQHqrdk
TFJFUz7q2SoHYPYb3v7MLJOdmJ8AVVcNSHIm9M763LdX/63ADkI2IYVwPF7+jfACL76jPqeB3smE
mgAv0uEdPHYeFkmS9gQC84vUYewoxQy6hsRLGPVnDR4IiyNtNxwtY5+doomVutjl1TUn3L+YHVeN
n34niX7+ihBXUXVnttIGZk3MOVPpxEPgr29rolvWJ+lIeYb6ShSQQbuvGrkSyG6hnBJmKl8GCrCx
h1CKXqsEKXOqJ4v3t+hrOLUKa3V/fd458QM6otCcYihEDmkBtKFeRHcNcbvxPiMIbNRKYeZapXsz
0/j03y7jiqMCWjCgMO/keB2HLIdw16ie+wTu1M06ABX7gZQH3OxQhsi8hqT9raNK9lPAEt2UuI9z
y7gyqzbQmH4cGU9aeqwXQ8+LUXmge6Jt9oJ+xvm2eezbU9q/G4FXZMP31iMRo9iue71C1EjS6+VZ
aBEdi0sGPjBGSEy/JAb62diyvnlieIKLga9EIXio1hYNkLoQToNgl5VAJPwnkanXCogC8G06obwV
YWcudtVB6SH4G9DXjUp3beOEE4Ziwg6AjV/+R/cWNjfeoCSpipu64i8gupePPdsykp/X+w+OFHI4
fIDwlLrhAs+9YPVh381LobSD7dRSR8+64Hhid4zEHykb1t7F67FSX2PmVk4XY/CIEUnA2bVGn8Il
MbjBWokGrmtM5A/xvbHxPnruvEoOXFtumSaoBNiDZCS+JSFqIoxN3Xpmf4wuye5BSmdwWBo/6mVj
D1UE+wt4jBmiZaR4PH0UbfvXirZd1XXxJzzWndFLEpzk91HUXw14bBcaO+pGDTiAVhPFHPIbEMp7
nExmpGc7pgc+d8Or0PRztoA6XKPH6XwNoJUJYzwF0GHcPog1RuYinWKqDknjBGlxibY0MBuRM4sy
YjwILomZU0eI4L+GSuKGgXOckxlo2hgxouLMzJG7FuAua4Ou7t7guvxcUOpIsy609aNzPp7LrlLh
TStUm6PNh33jYTrC0Ebo9uzMbAoM8uEAD0wgU1sbj4GDzspvBuJtDvPPaHL7pQ/f3TTE3bDZsX8w
LjLQTqbR0uXr6i/4FLgn5mlqKWd2G/9QfvNgZJv319DTsq26q7OP9sYaOu1qbd0ebQPwLh3HW03P
XXCxQcO2RxYxqMUvICDP1/shifXDCYBgk/YIyjRF3GxqymiJt4JKP1ZIKFl8laBRQ83DtxWYqzzB
pwIMXR/OnZoqgsaUriR/mYuCOb8eoFhUEsSCnWu/+dNpvYforYBj/PmlQXbEn3T0jUlxOhnTcOnG
CRNVfFIADy2pep93hDE3LNB/lcO3Aq+kZiZ/PstPLLbkNpl3m8c+1CqJmDg4V2s4Ojf60n3tbhID
zhTnomXPTzDPZFR3437BMfC7P16u/DiNNdW4W1q7BCSk21+zCxOCE5lclqFuBDqLzskeDsGIn09n
02VuVWV3aXhfdZnsfya2/tsg8vELjoW7TDFvpB+rlDgTgk3lV/F5GlM7eSjJCgojbfQmrrJzDM4F
IxpNQ9FAV+nBurVCAW7YXGTx7riGTUMwinRW8UFJGHh58RO63H3+XngXcd0kF8J+0yJR8JT7+do1
QcLbIrpY2cjrfnfBycTWd2kW/eg7ZSF+hoRQOH2weQPqn6yGXrIDqHa3rMFH3cA/TOkd9URtRy4/
b2ZonzhOV4rSRmi91aVV0YIQicyawCUDdg8D954flIN4AgT0zCYtBo9DWUsFEUH3aDu413R0K/K/
MvB980WnqNo2P/lmqgo4Oi9QTWZkatpgkL63FnAZKfpha3vAVvQCliVn+Ih+weYTitMn4S2tYMs8
NyBKoQ5abafVThQ1H5MfIALk8PBumfqW5znRL49BnDj+4aNFe5AuoDFVvHagIYPhkz3Smn28iG8o
3v0UOLFPczt3fs2I8qsX6+6cXjvCkKdoVOPWXd4dUOaxIFA/rV4p6HooBodXKtwgXjgwL0lDi+hY
Cujpsy/2O589EWH5lT9Un8yMRRDJoB92X0dg27ugeeUINEN30hYAyoF3PpPOKDap/NKKt3sXvb+E
oRaEI5TRqM7QbwGkXKkJLJkeI/Fd9Ii7zips6hOO75uglX50DHHOmQKGPrLGjRhJQ9SC/G6yEl/C
t/aacoiSmU7f4qUynETRN+ywHDkF/n9mZJfts9kCVMZiyQboiPCXADNKUKUkh/aaPXjavlX5F8wz
A4Fqh03dJML5GA8WYcv/ipJ3+WyC8XvYSXOugWKfn0KPrkhma6CbE4ffz9+Jxx5UwghAGC4GqyG1
O/es70FhUAl00tw5ITc91W2nbYHyq1MMQz9EbvAxYpfJV9Oy4MSkEjkffUhX
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block
k0SDwkcqpu/5Px7cdpn4jwhmBywG88lywZj5IAvgFO2GF9jtLHmg1ziRteFZ9stLb1qACFZoqoE+
DyFnJoS1+Rxt7or8QyoAzCd3OBlT5N946nmlRjZcRourxvetoDCpC2RERANccur6/84iHMVfkuAn
Oxl27irvt6dGDSGwc0e/Vgm0B8DknS5LYUrl+4ssqyfoTlUQLikX9lLVn04v8lLYI3pFWLbj4uQ7
mDcBnKfhbwN9dAlVi3kcU0wuw63FkoNmo9JLfaszDVBiZFVjxdVdRiO0nDHw6/y2EYpltTcqfCwn
ryq+Uw0IFb1W5nXPq6s8RSOXBHa5NTQ68jvO6pFnGidZcOztwxHUcJJD6Z5wdCgAlpGKp5hYg2PL
EbW0ObgQ6qYe0OdeTU52zS7oIpbQaoQuuCCRRwB5Wz6ZdY0HKYTDMEEOqJ6eQtpjzidH/vPvTYDS
Ex7tpJAVi1CplFXVEcZ2PXcd3CQWWyoyTS+jz4D0kx8qTSh8anHVUoE+TTDgEtrRgCG/e9vFMJsN
uwvZ0Gst30/D8I6ic7Y7hlk86BwNIe6eXUyhf4Ag/nHPz1PpdDLQyQm2ZfyAvIxoxuvF5bfQiOg3
Hry2wbXcLPd5aWCtdEDf5kLKTMgBU/S6C9uDEzdmJs3MqVZtj7TFf34phkK8D5xcpaaQmNUlzf4/
p2JQsiGPOEXBc2jON6DDxzdtO9iNWpSirX8+UlzdH2UcO0XL3aVjvSIffrh6NjI7P09hHsin6DQZ
2rNg1t2aC2M+MpEqLyk0jjBJwMmvJ14sCcbW4ZLNQXFtcNpv+sclEpIBgppLNI+JFznQ4b2mkdq+
hC3gxaKUeU+FRk24MUjGmDyrsSlli6+9B6tRFVTH0/jkHr8KPz+yVaJhuwDcAuZ09VdQtVqqGDxy
gsfhEGudYu+peZnLqOnxrZRUfIGWqglbsDt7eMQn56HTWPlQkRjxhesvA7wfhgNwV1yMwhAwLVWc
oQ7BqSg3JA4zQo2T2PZZLX3G7GCR+tJG7unZ8GEAbjLx6lpBHdm+zczhZ+Br/3m7KTU/hB+2Bekw
kk2R8zSVOqXszEgQ4O+kRwiuV15NjhjBAyTPnhSGXh9c6rZhPxnp7BEsGnc1Mim8ucwj2djscWos
7tUINfISFF8rXmaOU8itAy28+HFFkWHI0q6POhhIAyZNTEZXlX0LfGfAlWwlUqNxf19F3ALjhXXt
8fGTxb8VWrNPBJGHgN7Rz5TZekTp1LXR03+d7Qeg5GS8+vZHDQ3GkDhPHaeM9RPiuShG7vSgnnKK
HPJtcVDs2wE7fXzho/Q3iVTiOMLQN4D7FdHkAlL8/MzspV0oy373aCh47lWF8FsdPfAEI/JF+eYA
ydCgv5d4Heuv0hLZ3W1gMPjPlHCY0U8YuJESwfbLufPvxSHGqw47pP7muTx9uuA8UJkkFzqQ06I9
bA3AgpzytxG6FLBETkXN4zoy66wrOIHE5HNBRpRUFwILg8lEeGZ9mWfvuyLUsSCa+TviCqGiujl+
NHN4mq7VxT0qyRZzF9f562JIma0uNYCWSAuTGs9l5q/+PQObJ3uQ3QV10rqTuEL2gbWeWicXzrov
dZWoUyZv0uKQiFZSeD7tHEW1gQgug6z9kNn+Y7YQav/Fb3BzoZr58Kiuk520D4OFZehc5JJnUKWZ
1FfzRf1F5sBaPYJ5A5Y96yDjNh83oCEX4dpe6RNqYsJ5WYzBqaVc7wC4qm1wAnyZ9aTmVuIjA7rw
3UoOia6/TqL2X5k+Q/pGsyPgaSjXxZN3NRdP0XasH7R1diO/HmNMlVKHqhAM9lfdiIKUc/zombZx
6IshJdcmrPqxDglXl2Ip+SXp55OnHkTXb26Xb7vrfdc/rT5HJdbGhNcr1EjJMWaDwDGmiV2xiyio
ya1D+/0GaSfXLJoSZq9nF5hMNqhJQvYizPvxaBDDtTqcq3hYHo07BPL7To98uN2B9/pRgR+GTPdd
nhS4A373jU+IrhaxeM99sV96eMepuDE7auuE5XOtfNKPyl7faA5eK5Is2UkJYZVdQ0k67TJX5QOe
RKe6o4vdw+mLB+gSWtVtZ7Vg93HV4EDKa1MQNZ+a1seg0oX4gctXI6z+VcfgpvzN24fh+hFI52wK
IzFXvWx3Jyilp8P2epmRpVoRv1oXT9lgWuziuvSahZRpWoemrSgYYW+hN70Z4nodN9plnE71Flyq
MmN1kY+Q3z00gvzBY1TD9gZm15d1NsAxu7me+b+bDm9EH0ImEKXOW84plvnpoiF4IpaymtY+7Mpr
kYGWMjIUbuIRHeN1ykjFNqpH85FSEBwrfBVEmdyZzPuwgCmR1wh597fE+H7+c/+5lhRMkZ9DcuZ2
eSxRPX9AWYwgETivw9OTVKVYemBp3JNAilIHMkILq1d1Wff3FEeY4sHbJrSKYSWKh8v9yaGMCuwT
S3lvmXYNrMgM7sSCeZ3vtYKF4gBjXyOJzbvjQUAbiiWzrr454+M0OtPEpMpZtPL4dPjkMAyrEZfI
sERZJLn7YdyAU6USX3DZvwEEtUUWyv9pJiVnBqMGsPVmvXPunfBB8JF75B62Id7DMbguofbmIx/F
9h8YUwUZtfaTqKZMS1xXeXPyELiyzgsEX2D9jqxEddcCBNMXQdCS4c73KOuFKXEddw1OC41zVnNc
ALnXr/qVpOubFCqCumAO4pKg0FGovytkCgXVbgc2TocgNHKFpwwBNxc780s0uK9C8N39PimS4kxE
Y7lrQA3ReQqBM2oMVRGE/YpwtnaZtW6GRbLmvw5CTB3N9AHfTyYAKXd4ZiMTZjcPuEySMI+NyAGA
WktReeCmqqgUyWBHpJkNh9PqEki4kmKoVfFVca17qUH1MCl0xKY+ylH5SjnqVCbp11C4DeTtSL9A
31EPaHS6EIZ1JUVjFpzMdyPMI8IYVu4wyc0USxOvFYG6YX73wHy7riaXL95MoHEo07FXbFy+2ZVc
bO+wlqwUROlX/1/tb7y0xHpy96cSX2dvOWEDFT74oip1YiOBUFnFtKdMo1G8CRUEyznfO7reYhuv
A2/AX78Q0nq+gUlnYxv9dnY2wtX+39hu8ib8C7/MO04RjNAVk0VPQmqv0xp/Q5a4eBlHBNFMVwHN
deiybXVY8cPJXW84UnP+jwRWRWzj8q5ROFeLMKVzCdqGFeZD7K8czkPV8PV68+O8N+pXTh04UcnT
Gei2sduKkLffnn8WzUA1kjlJZZaGU9c01iDnYc7Es/JXBk+VbGiXTiNXfGiZZAIsdq9G6VNeOjII
wjyvuXVhJgmlm3NXwlqO/u1N2fKTdjubnHTOX0BvEi/bK0V1EoyH2t//nla6dj1qXSXVZ3ApSSAc
OhcAcQdni+n2Wvxwt65+/W8STTNL+Eth7PCz1eS5QnUDwLSd9elHZT/29YNPWp5cZ/Y8WhyXYyPg
9gmmG8C27ieRNjUF6ozeKQdjldib/zJXoonmNg4yYVkBzqGYZF9Io2NLJtKclfAo1AEKHpS5GVBf
eCFmKeQjuh/ibkn9DGHLApCtxn4gOTgapLPIgJuWIx0r4GcDnZYx4nP76eP9DrTRGnq7MhSHcIdH
hhg6sytyCq2VADr7k8CiwrtGPBiS+SmxrsUEuFJhu0BqzC+R7p2ls4ZYnr1RU1yfnonmH89G8zK1
v6dSp5QCutUK+S6kaRaWrQVWFC2mPWVC6uh2sty0UdCrMLWsXL8UW6tLYOxRNQ2nBpls4gA+9v1h
XpXXaFU9txzDm5GU8xzSQ7fKKbEK1SUYeQ313F2MOiOd+TNFT8bZeOw0QXZO8SPWjV+x1DmCix3t
HqEu5Hj0V8+oqc82g/1ZYG5S5zo++5MevppTf31WRmUDxoyhK7lS+MyKVBZbQhx2xIaBRPLRD70M
u1aryfT9STTZ1GNfEZueDnbD8kd+gj+3w0OkRsP68i0pZd08ehccaq7TCtpieXHv44GKqd5qrxMd
3b+4KwU0eYMAETrTT0RsZFNBCTygVRPcSQGQ6fx/IjBfca2h4NymxA9eJWzjpeKiG/iw5j07Uwut
iWmdHmlptpHMbtc1ZtGAbCTDcSNqdHAhg1YE5A4+tUQQ9voxdtUASAPgzLOe+8uPnvN2LxhO6Vqk
ctEsHjI6BaceqRR/f3NpPByrgSU9XzLKF93cMyJbpZIyuOPpbDv8D20wOAG0J25fO1E7J3KtyCRn
oooBKpjeMc0Q4HKMBUTmcWOrt6JF4dD+gY/hcb1yc9joZ/W7tNy/TsB714ttWN54PmgzjLtOwkct
YDrB7rciJyc1cjTgu2huzLb120wUH9Lp0t5HuGj6xiA8zusXHnLG5rIswpQh96SW7AwyjQy/hD+g
SbDwM5Gt5rNBE0tEVgCT9/1clfGzFljz6FKG+6gngHLxTw0aYFb8UfNWms+pJtK9a+fiNtEJ2fsU
uQKoj3HWuyGSHyg2hnhI2k6AUULpKKffbW42BpRVNQxl43fENW/62wDtomJF2wkPAny+l6paBhOx
aucUhdJPO2+DJbS06g5+seJVLdbXuts9MZ/AnXMCN3mcFHC8Eoe2OPpb3sEr+wbE/niwUrd6uW9F
XgWzrBWs2fWzaeLHBAebWhVMOIq0xKPJNBaQc2dZy54sZA2Ix74nUQDVxTkV3ydm1f7SL2k6kgOG
U+SzrgfaGO1DU4PkWpJ1Sh85dFWTnh+PU/+vPgUMYjctdsVxAqeaKTCDmS929bOfUX15ObUCk1mB
JiHjo3wMmG8fHrydXc+ja/+cSuJwRrt+8BfTEHiBZUe+fTFE5b9CC0b5UgMSYsEVSq5YUSOK0T8B
JRKopx1evs5Oc1zZXGAlK2XWGV5jRpJisMC7EL1MKV44vYqbtcUBWA6TofGs8Dw57xsvOIuIQL3d
hiV2nAcMYKLdB207sC5Yxz7XrOCPlLrkc+AAglnNUtzRkxzc0+L8/AWgR6X2IGy09n5s0IZnKqVu
wFWrr+VcFY4uHXbN3T1m6iu+BEMhbr6OCe+EQC1gzs9hQnB9ilqQb3cBV8NQ5Kh5JXPCT9Z54vu7
/yvOLf6+aj07tVJyFp/viObj2CdL28ejkK+Y4fb4dlUSx/wb67FAwYNb354FLSAExpMCssgRwP9L
zHnCgIY66Q53yJEsd7qTIemaLShZ3fK+rt6M68FlIotGbzfp1f9AFp18jIF7XQ40cxDGIOoTBk71
SXvpo6fg+aPHvFyhhxX9YBUcKD2LIe4tjAf7O+Fkz0ZQCByKo5d6qHK48sNIHcz+wbg28pb+e0xG
/YoSZhVZDkPI7FFEC6hq1LlN9PsGlgITaWGO+jqmpz+flNAZJGHYHUf+ajZ7vJlIrqIQwGCvKz3v
D0OMNMewBDOqCymh4JGAV1QsVxfLIJhKX1GRfmVPlPVZ4uZIDA6Dz1LhQaKfWPgMeVlTDSnWL0EW
lTzwa6EyujY10TZle8z3hIqtgS/zIaNEMHA76Y0I0/Y5d02h/m4VrBpI+Ob4WrM9vICaVOSZrOOy
3zZtEgbqFkXBS5IJV4Fah3MB1EBoIli05Dx+rHsKDu2DluNHsJ7abaSoAg90USuWIYcoOz63hIPh
TL/EzbPF2rjRqDRr4bShevoOVIrHmF9iPX0y7Z+VxhkNBQFveTtrMTy6t1UDwjIynvTCB6RBjoRL
IRjHDCsUCky+kP7FtvukAVNz9+bwTeVU5UZLhGhJHgsqggXJNcl2dx7vU4xfbatgVsRkl16xhuML
bjqU+M+L6RpJaE25JRT3vSaSPilh4r6IZHA4gP4z/nhuZo6ygeAuy1sEPDmLZPI1oO/8woB2qXQg
FMgVWjqWbaA8QBqoE37u979IR9n4YkMy2T1AYHs50OI5l27oituXsgdcge8f228DV1aAWAAxYi3P
q51ullyCASId1+Fv+Ob8PUuODfhilqPI5u1K2tx0ZIsA6A8j69n1ZYiRHHrCp901JFmtw/59/tFX
S+S7LwqL0NRuFG0pX4vo4LdBdy7RtAuqbIPrH4dF7xckC99OMPaTKyU+NkN99Q74ffPHnQ6OJQGT
V51cOljtQm7HLNCzJtg5Mw6zIwsJ4/dhz6ZSHtWFtm/n/eP0++hjwwZYCLl8CbsQMp64H674DXF1
fWqMYqflGCet42GK1Q/kpSRhMN/udOurIAUpPgZWbgEURGHoBue5VR6DnX/Ou8DTPcaLAOorySGV
6Z/gJXASqzaNtUK9nUnK7gGtzD2Oqir4nvSJ1Cxgw1qibHgqsFAAK4YIKPfOG5dogBkPlQ2MSal8
nOt2JFWWK4+X/OnTYvUdsfOXNIYYN1GR1OL5MADFBV4LDuBV0jQK1LvORMRe8sZI53bsb0hZOZbn
2KCh86Dg5m4WrFMrqrf8fJGe6S2HjaV9sB99FihotQZiYyr6qClDnRoh0woLx8zf51caNKLF9/IK
N540gj74cZUvsbkmNlhnjvP/PnXGsLcP7+CceGf6Uq2kNnVGiMcCHCAje/SWCcrSTqD2DYh2ZhID
1jzquQ0o16PbtVDKNZPc4UQ0s6w/XqGpJ12PoYghCV8k074nifcZvDvAQYxZeuMxNFvegMB1jalV
nGUM5nR4RTS6/zxsZ774PCGUgfflJvSRUbXaHPeyYJXHVnAoVOPJZmt4FEq+cTGu58xDV4vpGuv5
rNS3YPCiQD1fr49G2gqKMO4WELda4ppXiYObr9zmXHnxHFFmAqY2MHD7OZ9nRT7Osdb2jf8+1pUQ
qVKxuVVSRacKXe7uFOcF6qZifpejG2qdnkt1TTaFKG8Udov7qzw4C/TwQWU4/PJxXiRWeE/ZID+g
OpbbbaaT0j9j4OeTeawzkSiIdb2LARYEe974ZlGhV1P3TT1uMdp3+n9VyNnENdnAAlUUTa12L89f
3Ek16y6ZFO8C0bWJ3gSJcHH1b/Aj62XH13Nowl3ZzkbqWnw9zEn1z1RmgZU6J5tr+0FY7gmiya2T
OXJ349NvzL61bHNlhg2yr5avTSCjR/ugyOC9l3AAzpil+hYpevHLOdVGVyIKyBC7nY1vmo53qygO
YPe2/ShYgavN/QmtLCxwYac+Twn6xNENuHR7IL3qxkM7J4k1tEfoyVlQmDOx04HkmECIzomLgdbY
wLepDE3w9PCjj4E1zx07RZUeRcNH3bTZlEO3X2hv3cGDHzuRG+lBay/MPoDapz7DdSU3bKR1KEqU
P0lS8SRJHWcejRwu3TgiQf85e3vmpgLUFahUj0XWO4lIxVyLb43uNEqps7Z/1Bb2pdnUL1PrSddC
ArQsGE2U4fVcxgoRA/MvuWkkTizIaOKwMVQiUWm76nasgIVSOPyE7xvx7B6GNCywwi/pH6kmEiZ4
xmPGpH2XkVMoQVihPPRIcO3HBotkqpJuJlvQOXpqXE0B09jQAe7FEBgC3KqerB7HL6c2LPYOgrgU
maG+ATeHPoXnmVMjLbbh0m+vEPJz21mSKOJml4aljE91ACpuLMS7SswPZU5Q4lCn5pifaQmmA5fC
YXLznwXiTpX8B+clY4ky8pQXz0HNHadFk6RKLXGHiImhgAjLWPNfN/BlpMTefhtW3OV9Yk/q0HAp
PhR+h6zRkfFhvrV/4DBqIU2tqCQetp3PpENtnKs+obyxAiYWcyapJHQb/IyViwkx1iZnxeh09jp7
X+aKndc3EbjN9/MzzvttWKyyNEJqSCpJQYo0MPaQ4KyLFQh4GaCbO0NIA2WcUiwRruloXzVMIJnf
zRnqu0tyDhizgnaPaVpdLnbo63Xahm0GExXt7w3zrTC/LNKtD0dDEFjvMQTLrb7w0BcvtsBlC7kA
dd6/W+hDIFimE6tgCtbwUEYnGpM5p3+HZKCB6Dp/SsyYxqqgoqEfp3bEPFx0ps8rCLZU1gHcrshd
u3ZsNuk8DX+Mr+LQG91V/oCxmNf2spKVaQYmq8D78flOoDK3AUsjloYdTHqozYlXLH0m/VQSARo5
ce5tz9RWM5uxy038cTDMpCsCk4lDH48TlD3qdjnyXc667QvoABf4nzqCbGza/YdITNLH5oA4Rp/k
3e0/dtFNpx8BNOT0vXOw6vxX4DoRzp89dO49AmOBecjWcJm/wfzy1T4/fy4MxfoOY0Y87yR21IHX
vURvFaBTtapZPTNeVcs0prbGJDf2odwNb88YCdoAhNB0UApvo0QpbzFmzhkEUcvEJ3zY6Q8aFBiM
6YHIXKJ2afnYzWfzGkiDJ+QvMgys/UpkJqOn58rYdevN0Oaj346sOUiURjCdLcw5WifHcmGqxbW8
3tyZZYHzxeha1pyUjOTlN+oiBqXoE8qxHD7cP++he7y6a1uyaUps/89/dhUAZvMj1tA8vB0q3vP/
fkSJ18U+8P4PMetDOIgHefR0/d9+mrLfkJyS50Px1SSHl20K60dTk9bspRdmVRAPpiPF49UKyZLV
et7WKzIBjIrX7NFfaxV8/chYxceSRzBB/reE1qaux56UFTghlLfS6KgGLcYghRFG91uwf4l0Gctv
4UqH1SYWKXOFKTgRm8DFeUP1s4oOL3BKZGYQ8VCn0/Qpkbq01t/vwIl/7vmGRUbo1d/9Qrx5XAQE
h5G/pNKFQvm0KN4y1Z2rGR85Cu72SWQAEdGya3eZwQ5GI6iG2ZS0tqkLzwPIxo/EeVqPAdrXsUdl
wAhoxOmK8aUjxk+8Kj+iB9PPz0BIDrRTNyZ1At9n3z5Q2FzsTzEQ4ZEdPxDS3AdRiMk0vIOq3id9
2zPzA/wX+HhwTCEshdtdg1g6CR3QEywA222bEFgxcCYPEvc5r3C9aNiOs3MXgBEYPDcsKZpN9I9q
7h6lvY1ni0uFk5FpCs9/7RkmUQ1InCDh2lgtj+S1YLdibADz9yakn5ewQxqUfgQP5d5UvsojxC5C
rc/0J7vjGoeikmBZABDH+jCVjAz4lXAdrmikBmLVCwdtIXZNNY/IuWLd6z/QnSlrauUydZ+Ifn+O
OzgYyiZcxi4wphcduGfEHoRtlwEPROWd34jxT5exjysWByKbf0wIaKISH2viuwf9bdLWm7YM4+tL
iaXM86MdY1ZANmVR6365rJqsni3lJtJ225t6pqrVencv77Bu2FNNKIBoxP1Scbom3oDRACoLoP0/
QGSVtptogXOY+qyPqv4HOFS8igm8S1I2txNm5x7shG7PiDjpv3Fc0gsOnSog3v7vEtcKASYuIn53
gN9SZbZlyUqcfySVB6sMt+5OONWbOwfSa2JZDT3pkpar2mD8ImZmVc/+xbviUmPQ78MeicPGS2TA
YP5776v4qVeUQ2dJkhy+EnlpasxwOFWT2idMohhJYXdr0kRI9BYnWnspaKhJqBobk24Ddre+ZqP1
WbAf34sGkL41pNCs5+vYlq8o+EUT+AijXKqjRu5tp52RkCjFWKGOTF2NkrWDLVQcWCbwH7hHDBdL
eo3b+fOmTd6pD7IGKYrNlNzpo8TdlcDeS3GXF9Evz3UOowmHwKOqPTyDm1R4StF7TN+JhSixYhHR
7TFCHKnowUxFBUtYNOcuHTne3O4BZEim4FMBLAyjHM5FHKcuQ5eHLZxdxLKGlQ+lBFqG7VDbrQjF
opzuj9eG2t0a4J3260tkvCBiXeDVMUbvFBkiqjLAILMORaeLShygsp05uLGql0MDpl13tu4SpgmA
TtQjvX0ZxWVdBe1AtVJjjxTHATmjYIMv6ZHi6klqqO9+qjd0mIMZxfVZJgKKmhMPeijc/FHvYJ9c
MIDt8j/8PmYp7rYuXuNp7ffFHO6ildvT0JADxVidrh/Z8m01uMyqFPSVaXnOiSxOjfepPCUpMmVK
6ClB7li0zYqHArSnndVVMOB+EbBhIf0/RQVvL6ym0F+41q1pA7dTqH3BTgx81wy2/DFGJlgII8lN
WXTsPL00FRyObWPqsTQQUlXJPfEiKiS3wk6RCofh+0hCRbPoDMXsmjOv8Jv/G61FJQbrcCvae00v
ZeXY3ADn7n0Xmiz/xoC7C4EsJRetChBjMOyNY80EwDdFcR7eBTOLom71W5B2CCdqo6RU6u/BZ+Fv
lJJWUvToTnIqNCFDuweJ8+K3Eyu1JGepvN7+njGqhuobV0OY5+eXPtBVglO4PP/QF5JUsq+xO+4r
3PABRA9eiCffmbKAXVCLBRWdcS1KAqaFJ3Yq4TNc3Bo8lGcxY5zQg2oV+vs3TfYWg7gBDRsvzmq8
1uT+kXi1it7FQLBmeAYOXO7YS2B7ZkDDOZAwElB+ZSapOPdWj2crmLdLSbpK6EdegOb9JES8uXS7
qKoIVEcim7CVAZsKRUJfPjWb8XZ3PO1NFf9bNc5pufwJEkZZ8R7KM9zev0dKpppZd2IgB0J4Q3xI
Tw1XpxcD8W5CYxjnwLeD6DYdPiOWirqxfBbzMbI3NriMzSRzzT9G/Efeoj/n1orKVZ0+5525s0pv
LvBBViEfdWtamrOBqMSTarXFBv+WSErBci/CmQx0LoY/Xjz/V+vvQ8zJMYlYJmv7pSlUeDQpO6VR
TDPe3P3KlpECpmsZuENnH0ua331IgBccmAsjHv9+n4dJ80BHco5pze2vSTfpnrJq37lQq/frpV0m
a9ua8PNoM9DO1zeS9XKHUCLymLma8XBFOt73MYIDQjgfaocah5b+ujFzM73ZvRy0MvvZ/g0Pw9Fg
1c3FLrffyoqiCMkbseZ8g9t+kAkjLXPkvN82A8nSsuC0GdXmME2zoVYTz3VuSMUW1bLyo7aEkC62
kn9ABwUn7t+YxB58vfGH2byrMf/PM2LingKQBSHXcRlTq/j0809xc2QjeV3nduR8UAM8BuODNi1X
o9N0aPU8aEE0D1V0wNZU6+umMxwjm7zNit2bcK9vmUYNmX1vxJG5UIyHD3uPpFmHU+SvHKj3zege
zReqmy8yy475Nk0f4kFwcnjJn0Jy36OXnyXr7buK5rvpG8xqsIOMGt9O7+nGNB2K8ku295ICsym9
rX43LKrSuQhanSs709Q1qCc9ToeT7OxLWVO+fWbrZlMKQQAEERFuyW/NFnECzvcVCNGt0BcNICkU
riEvBD2JXgD9LHiTEDVvqdDfmU4jfnpFvKZX0uXWdmH8Uw4zXXJC329AtTA3BooIS3CcYmbzjHgf
CgZ4WCR8+wAgqdmYx880K28rbWmwvtpFvZyPra+8RhzgRb5CqdNu6FoGIS3vq6ryMBS/IEuCVjP1
CuYT2iYVI1BfUTnPsTCpiaAeSmszCkgDQFntdNek7u1dgO4P+vsnDJd/DMsRYLmEEHQR4c+9XiEr
W1PFTLZXVuvf08170KzYsfwAIQLxuX5EDvoBLMtEofw1ePuzcbUhYagqFgqpUQQvOadfx96Uo3Rs
5o5swv+xVrCbCCQ/C6julriuKfV5FCpqgr72F/g6Ie+Nm7oAy/TPR3MsMmKy9WqLoEaKaO1CDn6B
yacxkAOBo7TslSOmtxeyu096nX5sP7bP9xXdhrJpQBqA30hhiEpJVaBUJvJBgc9b2pq2MTpoxRbF
7xZYI2TvXnYlMhn2LTcgYYrJmGnVzEl91Wm8iEfiaKukcGSRP6mmPV19SmTH9va7VcDz4DF4hE6R
prmiININSbM+68UrO+vxGY8Qjx/oUEdaUYomoMa39UJ/QDIP/n00KRfx4/tifCNpmhWVBBmfrCdl
Gz6DAFnNcoLHtthN439gVySvrQ5+E8rltcEzNnWk+BB/WnkhIhF+Zl/EWT18R+4VwawgLYo43dhP
Um0kClPrh1vbWOagkCYYEeOEwDYfrIoYMaD6s+PuKxlRiFkuJEFky7vmPHaU7N7p3bmh19L55xv8
sMCy8vi1ef9fGmKskY5hdgah2XNhDoJ0tG+LpGKwzrSGsDVvF7irh1pWTY0RKKfHeNePEhgMdBb/
ppQcAkRr2l692fzH1uN9EgCrLyQq+tZM6VyPXx5cm1GgshZ/mx1S8iYlaXC+PUlZGhN78fGU55lL
BWLN5QB07wtrRIjrc+ITqkd5vP78r0JFGttn2D6ZPRB8eOubE9hD5cB/J+HioZhDL0fyJI5Ieava
Wmjmv5M7whNTZznDmZ2dmTz+yxBTXdtl4fXBIPK1DGGCMhkzGLlWHmfyOa84tdirC0M1KH9t6hnD
ULx/tKyCNkzuiWPsKzFEdxzs5ms9plyq9q2bEbey0FpcLJweGdx/QuQSU1cQuHQldtZXKruXI4k7
YUdYbk9+5sjp4WNwDAUw2Dx3iUlDACFT8E1uhqgJiI+MjtdO4LSgvV2UhCn7iek2eHQ3GtOoQS1R
AEl0N8m3yOpVde3SnY1cmp4tkyV0O134vomnUhDydHJ/k++k0Z0kLMnziHvwR1Oad2bWakAhyG3w
7PfRRnPNVgk2orAP9MCFRSfPYoxi9mOFgPGtq495YOm8E0ab2jgyqZs6odNMMoMuTTCJ57RzSDJm
I3az43zgIUPBThuSrhW37nwyN3kY5Sa2h1AcYduFjbFtGIy/U7+QtWjf0RShaBzt9ektpEor+DhN
aruMhoGuHf02OhvxaXVHeDVic6VQmLNE507O7ShipRwFQZm/1MqTrXM1JylJxV43+iPttrYW98nq
idJ/hbdgij2vFpPhKljrPPNSjD0ucI6wqQSfWj26IWX+NhRUaAe0u4EiThB8g3Sn8NR0/+yxkWX1
owp5bqP5vbnp1Z9f7ELndenWzc2G2vq222FUKfW/KLxT4apztWlK7aDRZT/mfjsA5pWheWmNRavS
JWwifinr5BKc/b1t2BBXl2klYlrxOAkHDmBHOHy3NRrA9rCAa/0ysmPdSaPXjZrbDOUtgzlatrIG
+ugb3gWB4sAeQX1qzzpnqL3m3UkfdVWzpmKC4W17fG23S6LeE+R3ADUsZ4Bn9QTHd45lpobMYImH
XoWoaZ98UXmzxiiKyaYCUdbJATbXZH2CxNTwvJaxBPlRjTOYMmhQqSAMqI4zp3B0IldXr1gee3em
huTLsIpRmeS0pB/ZUAQBLQWortT3K3/dyjWIFr8epMP4UN6i+NURn9GyqlZ6OSUBNdpKbZNZN/XJ
WDGVtUwjOHRGIf1NvCGnkuLU/ZtcmeZ5SyX3lIA3sym9VI1mVU96+HQLT3zTgaP6Y0kVk1Zzsn+F
AFxmH81h7ylqgxAptitbklbWg5p/bFoCBPFvuWrO1zNzBIdem4oLz+jbCG5FHAIWE1rBQakZQq+U
l0SzjnhycTxtZQyXlTn2dJmpr+u59Py5G712CiyLdra3RaUsoV6MxpAAi6XWfnIBv0HtljGfu3sE
mpRVqqpEiC/g8FRyCamkT8D7uGDkDuiJjG8H7qnI0d+Xtf6zM5IO1r9B9q7LWwPYhB38V/MM0swx
chq4apLnGyplO98Gt/X9LzEe56ciZI5IPCe/OhXNlD8R0e5vKmjYOnIuJFoBR7xSFFo8KzBiyVu0
plmgb6nNGJSE9I4rmjlcQALddXzXg/h+me+7HZZG0gVDIz8Z/NtZWeE5wWzuLIIv/K5SgMYRTB+c
lE48k9IC9Ry7vJgjhdVrqbPMb7x08bDhBsayLLR/Tbnv/VEsc2WSsn7Al5oJY+24DVl4SzjlK2pl
PWc92DJ9xtOA8n6ZYys04X+smWwQuJxhzesP169YpZ7ZjpmEoGgzODlGcizppB7HgMlOl5ynShZG
OZkAvR0h21zvcG46AZPzvlWvDbwhfRdXXn2TfQLvuHb9GZR1XbGIlHg9TV9c9JKm/z4XZi2sWS84
ppXiEz41M+ddDt4sRyOGVK+9pnnxy+qrJCfr091rxPWj63HbtOIylaL4+BJomaW19+UeCBQpwsJD
DqiqZma9nyJFhVfn3s29zo+1zDnVFts9jxrqewAKqDuoo+Eqy46ui12vafsyGpOj2EPwCu5IEtzT
LbTcRXuFBtfbJfCCiV8yVLj8as7oR72Jl4IhW2gfzg7o/JBNwMzkU2HJptl6Rw5cv4baJMTG6Uvc
pw4bljsOW8VVOnRDJPAF3O57EBCWN1f+aLbQzDTkx0iXuwwLldWvTRR0Cb0jR/tc/RGwyUeYS5Fn
W0Gg3NdKDam3Q4Gi4ficpu5MnIgWhyB0wGWm3eKGMCKP6YmwovqYB5ciDZ2xgKS9jenFV4m8Yxgo
SsVljubBv79bMPfZ0P2+5dkTJ2nZyrayBdCFbFI6Sw2sHsJJVzEdrpiWah5ZiAGv/EQIPKkO6NyX
2/dRf2q0+HzezWfiOUx5r8ucSc431zzGKbYSQ4/G2xqf+CMU7AwDkkLH5B1QvoGPaf8rcikt1AC/
er4U/xVhDgUFN3leG9VdftmoWYvUzHMoBOEVEQo9tmXkD/Bn6JNFjcXoDOUSZqamZCPI3nwjJHMF
PJ5rifGqFFgp6Srka87kmcFb61z8d4uEYZUdv3S1MAdl94hI6YEmhT0k2Uu6ujA08PRQAxYJWt8t
cMi3aAR7p8avTHsALd4ri6XfMQIOhiXkovPSWLM4JtYDc4tqadsJIkagDzcB2bguTc+geWp50Fou
DhBtugZWml6jASq68ThY9SI+EXZsyIWRxMcsbGe6YIZ+kGYWCsEukNzT9Hk4CjbI9CWoUd+JYzs+
BHSBoOWMWeyZYp92na8KiIiC0b2Z5cFIBbVQcKkcvi+gA+tLugHYpwCzR1kLnzLhxLJaqqVSgGkq
dEpjFLo4n2+ZSbNUDDi+/BiHORTUpyvJs1M0OaoQ1na2PDEUo2X3aAhifZsRAGWYWAZBaCsyPDkD
rT6lOHI5u15z1zYXFcOslXwBef4mjorbdllJABn2DsvfPZO5T/7Jqg0gAJPbZoBaNChdG5/yjr9Q
pL68IN7QzEavzxwGfAEMIafIaGwNJANF7QhkhWgxshWwWz6h2W1Elfgr1disPTuTGaiubBnaiim5
ENVwf+HfasJyo/X44jKnvM7Ubwf2Iq0+PBTHxhPWsE/0RVqJgji7LDRDY9HfappcGb08XGUc0qpC
wqqyrg8mSwcqstkqKICjtjuZGTozodEIShdCwJaEYw2PTem1mFroMqPOwpT5wUloR5Nvl/Wew4Vz
tGyubqMkE7ZCLpF1rNMCM2JfEs4CZECidPnf2uFQEnQN6YIsz8FOmSkhscTC2xqSfsnmWQchDxHL
zzn7xNzAfRk+MOXm1ACI+Jnt39cVjZXsjoEx/X1yIOD1ts6C4Qua/i2eplVho+acfVksOBwZuQmb
/QRHNQuhX6/p7oZ5HFl2Tky2zYDSL6zlVyF2ZpEGctQ9UxnDrpIaeYIvTAoaY7f2U4f+EaiW0dSt
/NV1fq+Durukb7x7nRdeLY/cvZm47Qa5O4WFIrz9PN8fsAwhDke6Wr83U2t5VbwA/j5c3jzhdruv
tYvadiQTOC6FgAEmjwWleFI7HmbMxlhg+7ToY72BvLfBmkFp6AaZSoPeQxfwP5VZLlugXyJqVbUQ
R5xD6aBIEes1pyCLG3hVSYFp46g1ZI4HeJPJpuHi9Qo125WGS5qzUQhPUdZAXPOPiWQfmnY2LKG1
Eplwl3TnmIn4waEpmpTfg5ICmq+o6StDwomJLFP7Kj07pP1eF1LBmrDglcTp8beHyOAmLnreVgfr
1NZYi0hrbcPMDKU6p3xrpvRdMnmVQpcj0YOcQqrPzFfwkR69XQ9udrF3kPCKjgs/KyKGHCc1Jy+l
7DbtJNJ4IYtDUeDpjK1+XHCLq1dMjLJQc0KOIE4t61BG+mCIeYU6cCbynPt8HeuN38leIr+qhFUi
0IkWrZK7rCJuEl6IEaOTP493sDwM4rNMatCPmSq1Nr6zDOYFLwZjnoH/IDeF5xxutyme5qG0twKZ
zC51C/zXmNutCXtqYIW8Q8cCquNVjLZO+K2OE3Y9866vSO5RmDW8vbhVbvOTEyqnPgbbWrg2WKtl
OxkcbtRsv6URdE7uSk/lrJ3hyEuWK1ugy0DavhDNnQ7lvn+Igf00CFmTcm0LkURtaeBeJGIwp6/d
MpZ/oBxhXaEfM3Ays25xqI9Wc4cupMfyDlXyuTntq1NA1DIEywHJ9gbaIvoPwTVKdG+6FVd1ZUac
iG7by8QPSUTGmZy9WmYzL5lFiGTPzSY88jHvqibY7dzlhADRDHNf1SXEWsR7M8ZZlq/mON8+qLSB
4s0tsu+TZeeSjN0W99Pmk43YSPhhgJ6d8ecQ2pPQCgcqHRtzqwmyH+cBs5o1relfkObsdfPYYjQ2
YbF5QnBAOww5cDv8ae6NGmOl1PoI7qAFz+xpzotHg2dlPr6ht+b3eWiYakUjbit4KmSIzLC4UKvo
a7KeVjLYLGXI4CzLO7VmJkBe65/nOvXPVATqe+FRPXG9dlN2iND21UUNri5M6h5N3mQCYNec+C0v
gihb26DZYSbVGUhWNvDb3u1pm24YW6ZMrxEMOud+gEaofdD0cABTi3K9UaXYyd94aCy8UFOI9K2I
qxUde+I5Apc3Y9nsSbnxcsHKR/DapVyvYzMiS42xBKN9I8UN4sdVljqNuyigtkpI6z36Bn1LwlS4
fbgqJ+bEzTxEkPrgIzXYFRa1cHt3OriG2elPa3GtRM2rf5+SkFPvhVFZL5n21npc9sX3K13di4ba
cKCEoHnGo1FSn+PVxBv56j51TyyuW990pjTxwAdeSJ47h/zOMdKmM9L1KTfMtQYol7rd0cWCLz7g
A3blB+X4jIfXagLyDPv+N03t65O3vnH5uBwNuFSygLrnCKKwqFY1Xb5/q3WJXUKVEFAKkxbBinUD
FRzrqPb4li0MhCetqKbQyesxkZlSfB8IoZR1Y9qR+PVhy4tVl8Bo1HUt4y2tlXEiyf1AwmYFqtAm
ixmiKJdtjuYMKsbOqmMSryoACnqYkBGiUeHBD3lepqKOpKOMhfEUu7BszcIPv9Gp34gASNRUydod
IUbMkf0+GGxNozxdJGMZ6JmvWZ+7QKZNoA+DrEfnJ91KeIZvgEFsopSs0fIex6T5zaIuiQPzRLX/
JqD3LmQ1P93X/qg3T6p4aUACFmIZYPFrsodnliqGKTOQjmpNpaGEqMNf2nRATG+5oJhUgQ5Vd7lz
b4MOjTIheueuWuZnXLrAwACQWDCFk9kN2AXtijnZtZ3tkWo7hw2cFbj879rWEk/gCdMipEPYVKh0
CrNEiEHL043dZbRhTaufHysxwFPhGB09xJkzkxINn1QihETgFY2Wlv+QJYZHqsZ74pVK/xsfM/hM
hy0h3s5Gz4LpsAo4FWdnCbQbB3YXtQEjA7XIOQHRg95UF//qhnpGtOJ17KN8K/7nz7hjAwuczD3X
DkNv4k6uj6QtE6huINw6HRUiLfX1PpLa1j3h3TrN1p+RyFURAVBIaxy+s0Iwmtzeg1t34uvRU27P
4AUXEFT124wbIsB+kLsrlzeBbx9ywV3zzWGJcqFn/JASX5r0cpuJc4Dvdx8jJE2MsigXlDBmQv8E
nxPSKw/kIoBbIhlCOiuS7TTJgvzFBkkR5mwlmOj8h7nDStBeKcxS6qhOXGQOuS5Ld/ZcFfAdKVvK
qqWVEpnvKvC1ITH9UqtBRx9xCW4qIZp0kGziV7D+y1YLLyXrP7f7GzsGxw2g5PqD3c6p+sGpMchh
tBwYqLWgk1yykbjkzjzzkgoD7fWN+y7YXpGnnjIzJ6LocQA0SV+l0OKuLGegKx87qg5YPYTgfz8C
AxZ4JNKxHnihh+2+kGrNKg41n8/Sa/EuwvrGjv6ZRVgh8RpuW5k38AfQ10mXicZHvyxceqSXE9hu
haB5OzEbhcO6v9L7l0P4jf9KHkc2sudLpEj9uyVT+nJn8rQmEOOpHLm2YzEgr+A0ilJKcIHOL4LE
Kp15Om1bZ+DYI64kaQGxze1cEaixt9ndQK5yLlBUH27SxyqII2OcwUXWuM6mAkEwqQ43rNJS01l3
nF7vrfQl2PP8HQJvw1CNuyi4rkBkFZEyefGa3yKYy5x9hZFjkt5+bxLsaiNd/TEppjIjQD2NPR31
QPsxi173h4cacV1yhEQrSWNEP387m3fIU2hvWuT2UJP7lXlJpC/4new17XBk1tNcWR2GDGSXANr5
TSQnvbnlVmRECYkovniN7KHXPp39jZOMEcjdaYTTaTAHEF2ordLHH05CaGZmy92+VwJZ+sNPBjp2
+SNIg1R3mXevwPAGwviC2dV2KbbQEF6RrLcl8WgN1p6vuI4wS+dm9ntn+hZ85cDTsA+hjm8pDdk6
LQNE9gJwHLqGKkp8WksOSGjRmbC2T5luJGIcy8+Ku+JhNCnKySNNyadhMEcYmXAJt2G30gn6FJe9
xOYyEQzsuT7S8+ousFATfuunOKfEx4QwEXOhVl25qOae41VGCTryFeryF3S/Dp7EfmbRrqJO6d2V
8J5rhbHLFDEJiiK+xtZ8ZuFHf1M+O5PUwpmweA1ROCBd8lsFPyWkfl2J2JNYxXH6mtNl8REn0rGR
G5hcM5inUfZ/vCkDgZ5B+a04BjbwJS49CIimcNRtBEA/ncHyZm9Z1iVW4rn2sBi9QaoWIXMZVx0I
uI6Bwhozb/YybgdAcG7PeQB0fl4/3H/61T0VDmkA3JUMb3z2CG7uTGqg1X6t7rxQi0wUtZ3q/3Ps
775sd8fELuaTstxgx1YY4zbu5KgVhSqH99ddI6ULzZck4RXysb3FKK07jBPDvRdG8c258FS40Hyt
WlyzgLJkjTFBdvMjhfngSawjRJ932/+hfpqHk6kYxiX28X8MXFmRmNEkV5sjHA+h+QXQk3dEtt14
LYWuDBNaVrYl/Fa6AiKAPvTBhQv/kOyCxaMWtyE6uPUokTvA5hdA75sVmVZ/3b9Bgsvsw4SVxUXO
pJzrEpiCK3SgCN3TXp9ko0BRu5Q6VOOWVB/fEq2jplEBQdcHZHs3w234FTjcIyo8LZDl3RAejlzu
wT62dwEyHG3fFbERZJRG5wU8VfQjN/6jPF/wFdspUMRebSotrzJOHDfqDNKEizY3q5nzUSmexXiS
UFBw1YrTxc6gRu9Z8vyUdDONAAAcv+JNwOxjceZNo/bcyTjnI9U9G5LY+XzNF5eqFwQeFHMOiEsP
wW7BMwxTqh+Y3b3EB8g35EZvedyLhNuUYkQOy71jSTZSsW+bivYERxsH7MPhuxYaUiQvh0XuQroM
fTl1N6h7eTDBRB2nEEegypS9FaMVV2BU08jvmiH80zfLt8rZXAjLtIYns16ZlltWcfiRi+ufC3qX
x8r0PLETAILXMRynDlJb1wCc41gvNm9K7UDSbLcKAqJC+qgoqPQ4EedYYTRpi3xrFuV6wjkhZEvM
A3BHGpr+QRwMO1YTZTFHbHKa1QUgyS2Lrjug+EbB5I1oDeUKzBEDV+DyJbLSaQY/Pq1UlNHqf3oP
0LIR2cIBr+Solm96aM8rih5BFlRJB0yH2OPuSlTvuqrzjyihBvXJ+KbstbNjHOL0LyH+aEQX/4c8
gickNcsZvxoeypRNXkGxWz0TBAcOaEal6H/L/A7Bejhv5imdhqQL6xOC7Z1QLBaLS57YDE7fAyBk
5n1Dx8myC+05Bb8VicQV+JBVXbSPqkGdkdWx+lvBdVj++ZIbxi2/UIxChXzqonArr5VBlG2KECVX
NnX0v+4wEu/dbZHrN7fE/bdXMu60BQUhNekwYxL6piJG6196AJhjdwu31S5iqUHAUJoKzPP7uxyf
LMsnvGCPLqqIjhtDvYSvP8LZSuZ46LPyFUwv97Wp69Q13++Puhw2nU6nLAIgci/JgiF28vHtcMEk
NClrGADrqWKBogBwI86HrkxDJeFyrixeRdkCGtma8jgBq7YdZ2XvBz5PFHb0YJoJU7yEnmNz5H7D
cRhMP6phPKw1HL93n1TtaypVtRRJ3bONSkBjAcKdzrbFIJI+HmfVnArMRrZ0Zd6oDKrvpJNRxxln
P+wz/TWLYipfAk6k/3nRssGuzh+A/8wWOVuKbJ+x4a2fTMxwmWOdPnmh4mT3KNkQdbDL3OJ3ndMp
eOL77+DDceIUlYUAOkd/YIGeETP7zJPyn1EUdPP11ZQ0V1xdR+zNDSARtOGB32rWSdU+Q6/TXYc6
T6o33/LPjUsP32exbbOKkcn3RKv9AAaDhWSHgIATulKZIhx5kMYxRtx3qUd1j0SI4LAqAh37gALu
8zV9nVIdtO2cQUB3ghWTV3D3UHqUOBYG3mP63YeTQI/bmDbuNQHHt0/Q9onOt+Kfk+6xykzjrXzq
lvKXtDLgpDm/jXUXesHACcbtcm9Gv9bcqdbK+x9JJCGtZlWhVDcO9kRYMuyHfxOCPJqOHx9j8MPL
JK85YmJkNET7cYV2hBagiJwKd7CKSOPRns8KwRiT0ZmmLC/QLzR8GtJ64mFmWoAvj863ChCaCgMY
ktOMqj1aTITLsNKq1u5Sct79SQUACImS+igpItkIuCVmtKNsg4l0NsLg86PujQOYDOykuqf29yKl
9G0oCWIEnjDTBCUONCl0TzzznF4YpMwzcACJtpw0YUUbHyGF3x4ddVhIBDttZBddYyg2fxbG5tpm
Rrjdj8QkPrWvHKaBGQyp3xm7QG0T8O/buV4jcjJxGUNb3j+jsALeqd2q8O9g8RTFG2mUO6yrcTIz
Ruwe82RIhFASTEjG8kvJJdKwiwLFEApe8LUJ7TP6YmgG13N/1PBA0FnNz2+OOLw1R1BGIzWT3iI4
vSAdO89LxnwekFjBaHo8dzX+NQVwVjbnW9FhUeiT3dPSWkYVlauC4mWurd/rWxfpCVgAw3gATQZO
dhMU//tDhnolHN05Qzl3BKCAO2FqYL4vCavOzLkg8PloemtC4GrD2TU7Ze7xwqttejEesDWjYdDb
nYxGJ6yiccOBCjZg02o9iS/yjXVggy/1oZ0SFkWkw9R5kGocDvOL3/f3RU7KERKNUp3z0RZ4zcbs
sR8sxI4XxNxbrTaabDf6G+bOXaOKbBCc8NLuU7Hlf4zSrFu6E8QxNfeFn2sXjlW6+6tK8wXVilim
7zIQZKs6xAoGxXFJ9u+FnzLNCS+oShEwFD5qd+Y9evX722wkU8swTCmnRpWHdkskidrACS5C5p+f
rArReRCM2ltPN42QeIs1WAjBvMYZHqCI9IwqCxDJwnlFOqxzZ5yloEXdLP3pZHrGntNF2Gx1XQyh
02FPcX0CxKhiYdJIzR+OL62XUbCccJhGe6WZ5mef3qMDwbsQzHGkTjzBVrY0B5XGtW0MdoZA/wEl
fOkdRv3wpigo3MCMt6Qh2aaoUgMDw5G3/jCrJfz04yUDFUQkRRF3ox8H+eIQTPIexzR7EHEqLa8J
0tMLEpdXSszjsQl83yaPPT179f0Qr4rpfuSQlgLdche/z1zz1PqPJjBFBM2Xcz+wUVzNNgtN16sK
/BZFt6Sp5uI3nTC0DkWTrQnh50wcovPiztpcK7DsOHWecseqmI3+jQpbn4vgjcYZvDHshqvtE9u2
CRMPSVzboSexg5YJxWQzrI8NJygm64GHoi8tA/1BEjUoGdbvtv5AvA2OIiXXw1RKPsERtTT92qQg
keqiJ5EL9/r6HPQb9/UR5DEVvKN0pZMua/QiFldvw9Tckp3MMcvhsaBIbXjbX4FhFN3k2AewfMSH
xhd2nZNyTpszEpZNQHw5Pwo2YQpjIe8B48MUA5WeIzNhRUIaxGkXijceR+NQJGZZ9CH3/Oe6nKzF
wjFUzZYEREssPEIrhJfi3LtPOdGEuwd+aSqmLDnVkyGs8B3ppWJ3SYzuaCFYWCQ6xGuMtUP+Q4pc
Oe7y1zFoTdPWw9LBCmM4pObPr+13nV6HYaUi66/WhSqmZl1Kgpo+l2cPZsx/szdEUqtV5Pw3dHu0
AlIaiY1Brq11FM9RwtlLaRvHi/RRyAZ7w/9YX4EC6PKghtiBJrbfQ80/w1pi5+K4aF+YKM5tkRKT
roAB9VkDe90qfZRkWmjK1D1tBWy80tlPbbhBBMhuOWnFQC7Jz8/6Kircn2BVyiP20JuSg70fxVkH
AlUxA9XrUiv2lQxFYyKGPGoYDv0FL0un/vQ0d95/hY/BgOVtTXxGJ4W3vA6dz74xEXcOtSJIhrB9
SBnqSrS/623uvBKDdkzkgowpqgg35Yd6s5zuwlG4wrW2w6+MDTMSMax+uOcIakm3z/AvW2AGYHQH
VzG5GbUboC55NEo4MDVH31VpeUQkkSV67Y+pjA+hxfkQJrFSfmcy2rkhx2IocF5XkltJ7UNxXOlQ
GBJBjgtEszBpwiSGW83Oax2RCTy2dV8KJyszwtgMhnhCZtiHm3ml6HV16ByCOWYF+ivlkFRGKSXm
9j6hLWMI0z2aEJOlLj1QTfiNxA4Ec9Ujyb0UHrMyzABI5MrSF1Yz+ktyv1Xp0l9hitEXFvs2apWb
9UJqDD9n6RBo1GDDYT3nb7DR8B1qNX8qOq3HH8ROWtu7NoNvza+KeezbtDOrOQ0N679b5G+zjgKw
SwURVd2xUT5bLTapuIQl/FsP4YdlPhHhmJAKTQ9/xhdxWT1og6/sVPVn/Pc2oSf2O9fGH8NCrkOb
1NaN9NiYtzk4NJQxmHXVTU4Yh7wQLEwynOnp+b7d1EDwX+mCki9uo3Mk3ru7trqJSUr0ETTHokn6
6mqDrywraIlUZU53MyzJrPvGIC3ar4XH8KeF7w1folfF0/pvJ92OeRUOzJaXdSX1PxkRa2hm17Dd
vAf8KjabvqAd3rrmCj7eiOAlJU+xFYEOlpsRMOd+dkCwySzIUBjIx/HTzC3EoZKIJxSV4ti2HW8a
EDY3f86gEkcM9l6C/C0jLcNyROj3HVCW/mNr0Z3iSf5IQYIDlwFrg5uMaHcb+pgrR0VpH/QVUrgp
T4WaW3eae47tqDIRODqvqUgfNlFG4rbKydvfKbaMrLjIXcyqd+q2ZS0kwDODDPOrdhYw0rC+XF5K
TKs1CYNOqVKXU9VftAxP8YvWpcBVg8BLUNsywmB5AdIJGZ7wuCSe/NKHoVXMhw2YDhJT35kk8dlY
FIrcwQy46iEKxyA7ga/g/Cid1J8DM6F+Mnwx1J1DVu575ePmuX4GgBRSb04JmtiPi42ITfejbx0X
uYeu4gESmB6bXe269R/PW1WYawi+kuJhj7+ZElvJrwM8eaE0vcH9KB2le0DPn0KbQFowdklNPkyx
lreBJLqQoPv8FiWp/sPth15tmYxJEE9JKgdQleu2il3JWiYfKI0jbvl4MkaKSjwMPFTGq7igyvDm
WSmLzpnaQ8Qxiv4UAEhW7e2m4r89Sv5mlq05db9tgB2ZeR5SNmG98mfmAHlabArCZFvDYwjY8yCk
cr8HUsY4to4c8yZuWfMfNrlKSCVsBSsqAud4zs5qYofesjskjGwzRWG/Q3vWQw04tD/h9Q25S1NQ
k+7LGPNA9GsGz6toEM+2gGBx87QQOeGKnJ+bDxCVfXRt1BuiD1hoDAjoEM/4fbkSyKFxkSG6TtfZ
jRa4impbohhDOM44szBmx1FSTLpo3Uba6yrTbbNZFXF75At0uAIB6NeK0kVz6znyDXgQ+7hL0Wdt
I00mMWIVUAYnVE3oMg411ayIoBfio5Ar/GG9xx4BYIrPtZJN4jVXXeuxKV9dVNLZYDkrGo7i2NOl
vtJowtFfph6T5WoCWTTfXJi/koZzCop4/7iS/4wgluRQkGNBhviFpeEMmT0fooRtwwTDRv8cE8wf
xTzyeV2vQ20K83nr1QFFir3tZYu7LGRMk1t/TuAy3hFbCqXJYOAtQ/xr+lgr+3m8dgvPwnuuR9h4
OUecIJ7JsvN5IbCIQtrQJdHGIRTZGx2WpRLOjalV8IyhlrTSd/fSk4fdF/erxyiVp8h+OQY2tBiv
f9gu9UdlErDqYBu8pY5GpXquKWXk9fm/k+2Wy/qJBQeTAfNmrSeY0eBdUdAN5MP/LCFaAvW80Xz7
Ysndr9o4KvQ6fmSZZrj0WQyQnfpQhwZ7V28iKQeTR+ChQw96vkOMQZiVfxanMgokdtmvW81Tkbrq
nWKnk2z5gk/FJ3m3X7w+qR0cGXG2tMb8aeQuhkoXrMr2mdZpxPhfzWqOiqcmheJ6QgODj4OArH4U
X2J+1uZxnrMgdscE2EOXE3DVk6f8+utJ4fY51TAML7NH7XVcKy4pf18md5YoUS5JRf2Qb66m1Pju
TbSIOl0Xcjl7i5PhGqemTKd7G5ihqE1XQ5WwZZ+6NkHmAfpJyTE6a3/oF8aM0SZOEooIt0w/JrKT
t1v1G6AedZyz9PtcNvP7h73QODFmxj3+mksiQEX+VhokdkG3UKEY+h+M0fkXg14LSBhHjWS+iac9
4dlaVQuq4aNLy05uHWmbUfvmUSKL0BfMKzgATmQ66ArnxRZ6WjU0qDcMtecL7h8hc4x7/NzEErao
JMVBga5VqdMnTGcvFlPK6VBQ1Bw0wUfwtYJZsE55oEn8WhEL9nkIMQD5lIpRrySHpdeFv1Z1Inyd
AYz6zEGnYda1l5DgR/lPvXMBEjXgM9nzJHR5I2Ar1K69ejiu3o1AuKNALNUTvI7q+VHrrGUVTY/5
AbLConSugQqqTakbBXjDzls5tdmY636bif0B4/bEcfV+X+0qDxAfgubjZ9Ni9QAxfzBbuq8qjKBO
0muNit6pUHFsCM1Ums0ZiseFjZnXpNrUH1RJr1pZ9MRLPKZ4iDEvmkYLbcRyt3ovpQXEFabDCQm7
wVCZvBFb66F8dtwNl8oplTtyq8eB8nOCsHhDvZB1GXA2ALZrxwA80urgWuqvN+m12A5UKwAZHVOh
cYU+XFMumXF/9zraIjld+peODYgR57usd8axlXEh7pielCTWRj1+XWysdH7jPocF+GHjvOUJ3gDx
7UmGs5iloDYShbR01vuv1SribD0cl5IpUuHKFOWsjzCXPiGAEp1SycgwKqsYBrTdN4xiEVa8EFIV
GiypP5EF0lkF0TyxGSffXxp9HZIk5xBWp778UsBAj/QEkluPCd2PIZ6oqU2oCloxZ2UIPadkIdVD
/rJa7YT6Qrd4QZHij1MJMqnfAnK8qibxjsqZmzT9UuIb5yQLLAuh/m8EDs4yJUHkGdGDd5vNTeso
/Qgnppl7WwpKyHda99x1FRilJrMW6BwBIJoB+rsadYmvHcLbCbRgfs3QQsz96o+oq/VzKaThJSCt
/LNHuQFpS3DiGxeFpkpGYIZtqw+H3zh6gCdiUB2Xjb2SCvc0WxCKsk/2GztOAZmWbfjYmGRLHLqG
pOJBRFzDOjO++NwbtMtqxGaJyI6/QqTYbS1wiexXGHSBZX8XiS0b7sRAweMZKxYwHBKG38DOXi3O
lpEr9dCqNZDwR0k6myFkWeeZthTiyyMM65KSAuYBqSv6rr8ypXclXfFzdNlrCyD5X5djklzpC3nI
k3YbzZmXKU+3Dcob5O63u7wk6XIV9+ZtcSbhd7BE62lbmKqos8t0Ny3EEzUWsn/cks2RdONvllNW
nf/Jg2k+gr5I27FhgsKCgYqG3+dD+X8+OJ6y0rGoP5CfB6yU+s8wSqk4XI1emDLduEhMjAOo17kG
UxB4+i/vC7OYuGbO1Zwkvpf7q5Glp/ZMfe4i9AscS8Qq3xbF8aME/C1JNYQOnS4C8OWZLogl0FwT
4Rt65sqmxHWrmam/aPg6jH+5XGITttRftdPV6D3DTM9OUTGLeTxG1BETisSltcTXmsRvHApRM9HL
iqOegCytLZmZQQrIc0mngLaPHCG68RbzXmTvoVXDQ8Zb5IWLE4DbGAljdDdwES/gUvgv/498Tssi
oaFjBA9eDrWb/9xxzKa+LPVdG6c7iSRYlkoeyyMWQPVYSl9d3FBfK/qpABDoafEsrUX5ipBErekm
UQwyeJ0SkgrCi9G3Id0I6QAPwmJs9qOM0P52G6zMxDxP9nzk9fOgiEJWMyMrxnBq+bNMAuoyzfLE
o6XesIxee7rqpUPaV/kLZCY/raSCz8v+q6mW9LLNvryjtC+huDv8NMoA5Ah6xhaukteJoe7/+p3a
uujt5sC+smtglcQQyeCCc4JNfyRfI1p5CRMI2aEnP1Ym9AiijXgH5/qgjB+fc4NEA7AdNP62RTm9
r7o1jA6mJ9B2cWu8+THhRRB9KeID3KSK4gvuRCSuQBZ/Zyhdl8moKc6jQxzqoEHoOqZ+JzwSpxp6
pLTbWnGnrvWwZ8RXkfPUDDjyRVRrvIGGtt2BYJvWS+PBXJmVkWvQtosWCMqly6C9NoZeG0sHgU1Y
eHjA8I2DCVu0Khvt2EVlzFv69AAI8VeGZn4+JF6oWLihC4jZ9Q3U/n/Qn/AdasenEhcrqe6yIWpY
EiombFxvMrF52q7Qb/qytwHnbAluld06SK7kBNbmwKNglnsYnY0YEHls8Hi2fO+OwbVhWJDXRiYe
6TyyKdJnUyHZSYmE89xeNyWGAGEauxV9DgftwiqVREbwiPVcP2Np1dwy8Q0S9gbkNa0PJuXty5y3
fWp5/mxF/4DbTD1AMdum7//j32UE7exdxWZM25DDf60myjrPqUbHyYuF0t32oMmeIYBEZdzMfZ06
gcwkPDUn1dS1cdpDK8MD1ZhtCS/TCswCG8IyaXEWOTDoqxHIXzF/oiHy+xq5OtcBJIjOdwOSEodZ
09aTfbFE5ToFeHnyenYmlnh9iKkGNQk//j/uSzkwRQ4AHPWD3MF7kRR5UpP0lHOS8FdOXnCA6nBd
Sd/PH1+aIBxLgqjSWh4QIJ/FJZs+p7zGOwRXR/rTAGcFwCeRmxHZGqka6ZjYVmwqtWe3ahLkuVjO
A1+bPcirqN8WPniUaPjoxo/1ZRM70IK0RQ8Vr0gzcwEMY/RnYyyy/owuXUf/6WdYgS4DmN+fUTsl
oZojRkztdQ4iAMzQV2fIYINXZnNcc4mJZ3LapoKIOyWHYr/CkWDeMN3RUgyppbbBkuD+Q3DCDLa8
mEdUHogBKH6OqX94rJKb3DDKkoR+lcuI06ybme0IoSIxZRIWWb7BKYHOePUZE+z++4uVcaYgdwdQ
Laow7hHbN7X+vCJfwRaAdh5/YvwRRtnwpsVgRui2PnjdR9vddnKVFGru4hTGr/NarFS2fgjv7Doc
3m6J1s+xvJAT/rPYG7K6guxKf6fNjAAO0m4PjNz2dYuiVJFGFfVC9HI+PqPsdq8PnHKGYiums10+
wMo9hXx1U4ObSmjDdIP78VR0o+YhU3CPMBst2Og3vb98SeiM4ksR9DKCl5EMGuGV7Ihq+HWxJETH
fcvihuNJBadbLTIiLWJ2TZ7cZkHcoeSL27ASKUlc0YwWpxi3RC3T0GHw2PakwFTKmHMWi3/4dbN5
jk4j7eM3rEzCPkMZ9brlr6D6FhZrmjOlYEkT9vdz3GQ5b6+7QR3mM/ZcjM6UyywZIcxo75dIpiK1
IsRaht9bSyrfSUtoZAUxjPgJJ8adeplGc4ObIWkT5XyRL0ibLAP4wsfok6Qgvu2EVuGm1TXVA96y
b3EWKroQM9j2s7ZWzcgMvwLpdgA0rGRr5+R7CTf61/wqKLTHDexxzbe1x8q+AkVhM+CCRNq3tZAi
tmGfvWnHceilnoKOFCIpeS+frrA84soT/OD5PtxPrIesbxaYNBHqGf3/ZwP3sMcuTZCRHH63rQAO
Nexx7nTRuzsQjPQqLFLFWZ/4T9fuQsX9ZuGWlGIaxcR962WjhoazVTH9WCRVLFrzmG74v/i2RZe9
anxMAtY+LVGv2UxNf/dkGXmMKgB9xNFUXl4XOpmJF3MFXuCroNqScEngZ0fGLE2MLtAd3K9wWz0N
ZDOCpgo6EcZ3+rY/syphBojuIahSfIPVD4scWPhOFcq4eCG01z0+VwIXx2a+JZaxbXv09J111pzw
ykZuAZ4ZvSljhW8+KAwtB/h7V4v20+xCLauY6XWdzO+ZFw/evhJd154DoVKYWtSX7BRtAC9g6gLt
xRvDx1Puh6OjgU5Q6bnWAEQv6++j3ul0RBkb66/okTku+pBNeHNliO/o991aAhhu3ZfPYBR3BGfb
08beJv0txE88/zU4Ctj0ACBCeCsJ7FqtAftrf6O5oMOeh2yhW4gMghzgzvG5kp8YOWaDpH/cFcpo
3OwfMLa9pkH5hsuoPgWlB4GzkLOie9wjiQDFspbUAv5gG5XhADI1Vj0BxMS3fLjSyugyL7rBJoeg
FKVaYLMiVrAEQ3z806VfNfHzirI6vv8AguzADfodr3NHyBCQMeBjUWkWkItZ/P16o2/ig6xE+aS6
mnQptYfLumtIx2RYy5gt76Boc+Q9a2G3N/8XcBkpaH3Wgf/sreGS2z062un9seyqPrAGOQv28H31
+G1tItJz7QJ6eBLsuouieZ9qGSsP0fg/F+0ymE7+/C5IpoxC1KvUSBLQJWQcs2IYiVGVNiN9Mmg3
lqlgVHgIZvMxoFZyItxoHaY4+ExgzqJowpnXR9J09ioTFvOXh/HViL7hnZNco7Fdm0O0GvCrSrmq
yRNizVtnc7QV3RUEnR6k0pYEFPg5K4mJ28Qw3k1PVD+/TZHIQMdDp2jUL4a0epiTDWxaO9SqOcRR
gAdfVe9hHzfYxHMtytUUVLJXXjQK7B47PJVlj4RRs8QDwBh5mVX94DW0knYE9GRuXz+Jl8kZXQKe
jY+L2/ZmDnpZRr8kKJxINFaba+l5prWnXPUMtZ1VRMeDp8X5lj3f7wcIcW0cSDwWogXNLK9DkBCR
GJx51beXgeGalU6mlneV9P41Gb7OU8OixVq+S+AzqgsZVbDgElT5zoGA5DxcLbhWIHQSR0DYTx36
iNGHf1dGjAn4xH9yQHC1nb4oLaNtFViBxkiUCz5iZmhbOicaggeteM6Mx5ntFLI58QxTc4hjWuiw
8G+PrQgMfeCG6ut8DjLJt3/EWcVh6GTf5ULs7bCaM5aEZ5o4Z5BR3EMGvYMmpUkuDE53BncUSUqJ
b9xBDTuEgGEOwFKaXHoKFqncP3C+nSvRRohswQr5O2Vf4M7FjRkxuTVX5hcJ4o2mS5fvnRQFId44
fZSY0u3J0+sCgS+cLyyY/5HbJPWSWk/vY5uCSwnCzxX3YjBUtnR1ox8mMyv6orbJXDr3IM1RN5LI
m7pm3oRNByaS4VNG8XA2VksQCVNNKGQcRyLH2wO7iTWrhe1560T9yOFoVYAAi0rlkYzmjUdyFBxi
Kl264CXRQOrHxFvCK3uDfTTwPnVmMOpnpMec7AD5xSz6YE/UZb5c8aSoa9QfvDhf3HPyzLsTyXzP
8BgTeiJY2JS8zwP4tTHi+0QorgoIhKuvjbX1dZUtMorNUU3Lgu9TR9J9H6WzyI4pz4wphcM7GKLH
au35ojOUJvAzIpKXyPTIVMuofKJuh3EA17tsWc2kep6mWttpX5DxkPxuC7+RkbKAep7IDJjgFvSq
1MxwyIk1qlzZCelW3AcUWBkb9yYQJ5dXOL/6H2cIKKReLqrLGApiXv+hFIpP9OJXTl7a5+bWSYrP
YyH8Q74iFbkCcI2l6KZiIe31NGEKUaG/CRk9HcDGfdugGzNtRZuI0YI1KdtmotzYkWI/Q0q5atUK
6E8obAQuaC/iz//vETxEPulfmtnSvfKbnf3OBUjcfKl+EpezcczrFwmgeK0LvXjB1KWYzfcQjXPe
sl/7s9BO4biLyf+CMEZKV8SdyBF5RwbKBnCAW75q1PKcJD4hVeQqUWLle/o9lnoP8k6L2W9Vb9k6
257pqzZ5dyNNt+832fSSzS84677HIsEbfFkzIuETIqt41nbtD1mk6DD30xXrThz4lUfHb0xY9ziz
wwuvGKI55ZW7zmUZLk4L0jVOfACexnc+Ja/NSXnEgArDLQAMKEQHNYDryT3cdOd6lZbNH9ATMhBa
/Vl9ogrkUvItaTYkb2v3Bj92b6AatA2KK5qdygAHmvhkBxdpnuyMpfLYULMYZaWag7R6qzpG5Bl+
nO+lX3r4UYGVF6chXPjzGY8GUObVen52bPbHIKbTnDUF/GLFsj/4kD9OTxLwhbintxNMVo1SpxMs
s3d2RW0K6DTZWwPcf8LVYf6mBHZ1ddmKOtHqwP6ypMqSDgZKcntvIDnAFQSiohpjyESCLwjQr3PW
eFvm8Xw1eVZRwQRbhsFpeUe0I/Ea1rpQmHJartq8a8ltelLM3vXZOvmEwEfF3v6TxaeCX7SpYvcg
PEzkGVFf0YbENFxKqd+qZvujU++x6sRvD0TGsN+qPC/ZmW0Jm+SxQIdMuGq2vHa2rAthVYLw+e+0
RosH+mbXplRUK13DrE3tW7ITQsgDWDW/JPR+Kyg5F3qa8FT1MiSMYzDIwCiHEBqwgokzuLsjc2zn
tF7s2bBnLbZIc0MurM4qzYmJMqHBxSv+QvJzOtr2nvmrCvSNevevy/d9G4cxgfqkOVDz6VK6oYAP
O7SjZmQSs2hQqBn+/zpTKUlwG4xMrm949/TFIkULKldipUYU9tLaw6zKvZ92VKLEFhYuSK7txhQt
GHcVRe7hS10rC0OQbD4LLGOHg6HOUa0gIt4dokG5YXwZNUfs8/2hyFBLt2debTLnwaXdQLSwj8kb
KHdwrjOAKMnuGB2c84rC+ngW+Ct9YsUrDGc4If+zo/L5zbAG66HwKU4nA0KxoiL6gonH+cv+HPtr
x1/JCu8unFyW92xCO7zQVlfSorOLeRHB2adxq3Mal3RNhlnaas30CxBk4+3HQeSP9fwfkdzh/JFM
Vae13LNTTF1ZksvmT4wAQ/ZM+u+4ABLbNooPoT0J6kJ7tyegcOLVX3oCJ9tkyGdotZkn49U6TCyT
QdDhhLwhspWy9zqf9oLh2uN1OjA4iTTjyzGO0PA18mWEeRxanNbop3rYwKcbUufoGjZ4ssv4ALMV
D0iwS9gWr6IReeIQWBWLwo9AF4A76ykcy+jeR7P0NaY0xZnIg67GCIeStE0Gi2ATz4+zqNPY4x6g
HZ49vivMS2DNmVrd5FoofgjkPmf+27tlh2PvkDqFJO1QcERw93qePB71gMV086usTDpeTjsSQpw7
oKUR2Ews+R3hYE20/RoJDwKNjia4chURdeibA0FeLrAV4e2kiY7Xy9i3y+OjgdIVfDwtmNbJjIF/
oEYI9nwiNpCiOCYrOtMwII8UDjM+qyurOvDAVEhliA3i3UvxpBxZ5dcEwusGGKceAnZ+i4ckYqWO
25rC8jLEhgNfasL2+OZJv989Dy7Jh4TcLfk3kSFm6ij9pcpB5g3TBYKo/7Gt7S8CCpqJQc1bS7yl
LQbNDsOWGkeg/iLsLyucJkeGdzB97h9DFRzlwmBPrxjDLendHR0kBleaZnXlVDqVzRATGixh0AbU
CCYFclQsx/kSxwklIdtyfAd6ax+g5S5Gz8iUufb77uFSILjfcRbzkLwd7fB0Bon2NCH0ylB2LDHk
RiUdvSPz0lNj6Df+EVRFa4uoiRzrp0l/BogXJuii6LoErcS6OZVRDg+yw8KnXvxDZGEMZ5QaYezl
jcmMUFzw9cO1IX0UEorwNCMDAARIk82XWUzo7P65E7iCiRmsdKpc22ngFB2Ujw7oTkwOuWYU9Pmy
cQy4r/eNZEA1Ei2AG/c5Dsz5cTiP3ExAmIO9lyi3Tf8X2kp8Bh3t9fifkUT5C7QKw2T9iCA+OYgl
GbN/6wtxkXhTEIIbM67H7hetz8oMQxw3PWIU6/1sKCPtlfB+4qfw+wD1wADYlocE0lYbDkXbdz5s
gfSQeoWiGioq1E8EOxsHNBjSi2CmcpIG2NoJ/RDl2ZIBz4k+CPKpPzqYnNe1nDcq6HAiR00K6OAf
A7EGCS8Nz0G08eOc22pD6Samo9gLAdIdn/xtelFUjOHfd9bB5RewXhVemkrTVXq0w3yI28oqtJzQ
xFo4gEIWPoVwrK9DgKEYIC1E+D0EaYcuRNOjfCDIKZsegEWC2M1oR/9L+TU7OpXy57FGUmFMcF0w
ijOuILu6cad5t8ld40ztJL/uHBlkruZxITMv2y5VbewHgxjzwMWYv4de94vlLeQlE2iOzn5Omo22
W6eyqovvHVOxeFd4kAhxEjqvwedJgBXLCJasu01bAKqEw2tYqfY+J+vDOC/8LkFmWB7RGQAa4Zof
3iMKx0ByOljS8IH7Vl3b8qH6cu9C6yWR81Kkixih2O0KLGrwfdgW+JmD1IDvDJfYkDCLNRfxl9ZR
236AAgyVj6XqkiP5/XaFOZ4ei5rkrBFYK6B5AXky7oJKumiQqTZDJ7bh74B52PxuuAopdNVS/UiS
yKL73CwxXDw45eDvwIPTMZNMQ2987UGc/78AqDEC/YjD/W57LqIqZgTeZwr8Ixa5mc6GIcXW7fur
CRadcsQk/33BR2ntpgq1E/BDWx5MBmmYQIqtHI7XYyvaigG75YJBJ1BVV3iOLOtwvyrW9PkyyvnG
EPSvwpLCAWiuQ2udymt7fAi+VPvTkyhQRn4Rk5B8ol7/pS5HnT/S1umRqDHs4t3SjdUB8cHu3nuo
xJfB8scysFp6P2K4A8tYaTqubPJeJgVe42aqgn/ZxQhTwAx/ACCZXZ0V8lnCZQOIRlj4WqY8TvSF
0Ne+rTOiYvXLDoUMi2xmDiskMQaPPeloOOJ7tNCa0uLgcv3XuNA1Zgn+2lq7GC7yfPHJJa0VKDYM
MnHtwq1fBK4iF8afuLaFFOp1uHs3PA3NDfgLL2jrMLS1tdpACbORtR66YS0VEldv7uN12J8XWAhv
YgY+EgT1TJzunDdFMqhLWQI7szBFpcnZerQyO0pgjgQCbCmA7RQEoYo8mnJ4xTAKe5UvJF2fl8Ps
PYjdfkn+5AlAOCwvvF/aQmi8guE44w1k3wciGZFFMBcN9+q0X8S8DrBffnCJeDhvi2C2rTKHTN1t
2+5FAF1u9oEQGx2dlO2U/FXvsXsACoJIZpM0TdCMheU0FoPl+5r1kHlrVav7LnQ5lqSH3bhVXJZZ
d96n0OCP2OTpCo3iynDqt18CFFw5PcAwUvH2DPh4IsYJD0ftifsL7NxcJO6QNZ2Qx5Ev/XaHz+qt
/PCPvlYRKuymNWBxeyuPHFnT8PWEeTpz206sE1D9vB7NpKpWz7mJpNWqsFOETKy/OZ+/Ad1bXY6D
OI1J4sph0r3OHKqhvynk+zFew+xMlHvW2HBatzSXsqx/+MjLxSft5/jvIWMjCIghAKOEZEoBqBI/
11o7c9LlpCxBFlFxnOCuEk19qkxaLqmvO4PFWzTPWar84h2b9Y5SqGdI4eKqh/OF8xnYp8xzvr+T
hVXgBfHx1aNZ8bAB5sGnNjYSvdW/ac0MYN1a3a5MQOMezo1maKGv+dtHIvQsFWvSaC29f6ZxuEA8
iGhwvBwXMM1uKEGOWg4XzA3nUTR0nKm4bpHgcFfkqd2tcUEBTJPlDU5ZU5E6yUgINC1mFxxra2/U
C7Uoi1chZJhRLURiIeIrlx5d2cZk0m927oi44I290/TJ3g2Hb3Rhw14vdhRMS6Hov/003O+YhxCM
kPli6YY771sGzqVRyXgq4E8fqu90KP+y3a89Qf5gYE3b9TU8chFsDgb5e8PUyD5xl8JVxjYfmJlJ
bLODmoTehAuVKS7GDahdmzsVHTw1DTzzH9zUFSCOuJT9Ug/PpUyem79kcB5NMSgiVFsz9O5UGpqV
sCpCb7GVtT77z/KBbYcqzNZaYOPF6WGO1zd6EuGDsZw6AdV1lPaVINhwNVP3dRfQil1a1fEY1iUR
Q4sgJSEfPmkQhvl1RzLayFKChV6VxWQheCNIuBFmdoXpdcxBEBLAq81MyBpkNVIXsNClpsOvHoEP
Ex7+Eox9pY3QJ42ysxC95djYeR6YJnOMw7KE798eKH1lD9m676ZUDJp+XFFjfxSyLHr1svlr7RQW
nfZsqspKgCJD9xKFaLRNZi3JO6DUtBQvZmpfJPTeQsTsj+vb5dW4K108HR4n3Cp+NoEz9EstTIUO
ec7ijn/8llweF8EOxnZB8jX/PCMVZyOy2WedLfNZvi8MHxQOdoZ+HsXoxfVFjPL7me+hticfd/Xa
gjPKs1elQpo1YGe4rEu7bP4YRzi2N0zOLegLxF6O1/Q5GD9RXMQfeUIErwUkyOOugDX+BbNzegdb
PI18Z3BWlKfE8xwKdMfuRtnk19fmJ7Mrwr8eBotX10b0RVC8KGGBs8ubvTYaHDSJ9q0knzap4M7S
3e62AlAcqRLP0FgC5hY9EcfeMGwT/XNz6vnNN6mkizVojprGtX/MCuBa5Zdm7/OKdQx9rclikm98
KkW63+WW/9Z09yauS1zXa0nxLOtOqfwhyD54zcktFbss5vU5aFft82CFKv21FLK3xpaWodyVCPPK
wrl1Ih0bW5DrQ5KKYiUUu2aytUx5yox2a1fVF2ihP3nbVnHcVHjLnr/M2FxChn/5XJUwPQ8AR7D8
D3TJEG+6X4ChWMOVgk63aaMnRwzonCSjjTQnmc3aHoINFIsAoc9GxjF6GwCIYN/hix+AaJqJd1KK
oAWHyW5UI4AabMMC8RmfXEJdd2wtHWvjT03TkF+02lKhhz+FW/bgVQdAeUaaJr9eNqaFwWnL8HyT
5ds2mm/rl7edcN+ZOVftgKsI1khuFBdo6G+3skT/u5nSl0uk/J/lJVisKgNwtW0IqiJ0wVkHIfVo
Ox7Ep1RdZPpada1Y/Jea6MpBgaOUXRDOmOniScToyvMMreLEB+z8qkzUleMQuwBw6JdPxrKSnaUA
aUqBl8YPXCsFJ5OOX/7NjLQmMrlsCVWp6Ea62uR8sp9Ius0wUyYXcdU3lC7mHd/HOL2XzVvMh1Jf
aTg6NYw6WscoGhiviRLM/kfg7EJJq05nwk+Ofqb+uEmNakhuQklacUMJ3eZsi77KzDrT0aYYJrZP
c5+voCo1sCY+BnaNRf4ijA5aDQwMZt9mKevRIEFAUSgKHQ0cXfxJPKMXxfwVwUjDmwIrRW8yIuqD
q7ZBavxcmQlIaolIZZc+4UNTy3l5Kw5ZQsJHgklf6zT9Dylmx041vFwFWK3Vp3JUkm74NopLTkL5
01+Sw1SMspKUkEjd2H/84ZwG+JW86CwP2ahql/AX0God6RiehoxTD+Cjbsh5LuMpp4vOqqPiDagg
qhpU+GaR+NlMN4HOWO0LJRi2Dy52aemRtsgOtn1774JdxwMlkGb2rmralFWbr2u0UnMi1iuOkbTX
y1ey8nPWdOtFrKPpw/Amp5lFIZk3soGHMAJRhffRJvo5W1Hlrj9ZBM6q6RtZy9scp+G7nvvf2TsH
hpPuSrMgIiEn5DU6DzaWw4mOfCdCHZw8GFGwIBmEqBwTSDhM0gPdWAUdT53F6mWm/gZ59Dhq5/BC
9CmT9NVoSLcZA87Ix8ipk4BnPwHGhbocgfPAal0yRIOO/TTP8mBJ9xWzr4EAc9wPKHJUoWu8dJbf
aCwxbATY/aMlxKCSaUb0fRwQmRcL5uvF4Jt584ix813gXBRjNak7K7h0nDnV13PivqOKSnddk6EA
8J9kjuhGSJTwNRsu8nMAFm2eZz5bJxYyWDkzAPmWMD4704V8uoMer8lXamg+GdIpSCFeDlxTwQX9
8O6LFnvQAGzq4cm+xbHBl29ect470AbJoD2lPPrchf9ngBz5HqYFPi+j+9UcPUUlyk6SR7SSUhDK
So5Sej5svxJdawupGeuHVaBwn5ISLAe+Aef4F3ZAePx1Fijg4x/wXQqaafJvcKfEvCgZdH1xZ2gA
f6tQoHa/ZjN4yUZ37UMDn0oikkxg7QFyEBOFY9xG5mzs2E7Zy1SNPd9tkeZm2hNsU5qqxTJ/GLMQ
8FtdyC6aFiHRE4ZNsf80bHm2BI6B6dXlP9Ydt/1PW5dgVp7uydRYMrJvpBqdGTGBotWEqEnuV6PT
wF/W7KBSEcUCNhyPbQ7tyjUrhdk3OGDe5rItwGw6NfUZUJS8jPJykcvP0mPVjUTDXQbzr+nfmyTU
AEndqcjbSwm/83bTn6p8X4oAlct+9F89JFhUpkpOPO6J7u4ib57iMf8J8GO0cTGsManRHCX9in9X
MvtCrq3EzBBB8VAcvKHJcv3h4ps6msqAH8nqB196X207BVg1H+A9V3+CKjBK3WcGiQKPP1xsOa+K
KXIm2/kkY26GstoLZTTm+Xnc2xiJ2B5IYEkE2yUWRsq5M5RgiDcYoRHrvxhgweVIeRHYy48OCtdE
uKcJ7MFnMpjlRImzva4TxYyktMCL2z5YGDQBd64wBpXb8Mp1jRob92Iazzf1Wwz/35UeG8fyA8p0
9IMe0bAGW1+bKrIiEHAttyQoTG06UW9Ct/fuzV1YagPzxWsZG+VhzlgW2Gb8nM7+dGApTMdWv9ww
Ov5a8XIDSVvcLmn3fX37wNjA0qvssKwGU6MFHsK8gMxDcCStJawIgo0NlqIuoE9KiFhsFAYe13GQ
KgeHK3tSyRormJEI/hzno7AhujcgvNqJDOdFBrNdfuBk6URwbf6CK3bAR1IanobquAuWf508oYyA
YXjgKLQjilrnlcqq6MQg4rgiS8fl2ib9Peh4dM+65JbjtAktTrkC3BWqTDmR1JFkBig2p4bMSzo8
020+RV71MEYJLbrgnCF9A13C6xzQFtTy4+PUaxcK6qamqLOfBySRB/5TM9rOoG36BDP86lPRsBvC
Ha3WMsWbvpgAk4oq9TtjYCFTbw9moMwSCxH13ZgJdNiG8PxSHmQi7IEZIhS4nPOjc8PxbpISenNQ
AadQu18EvQi/TkDpxrpOYegKYq0HPFBeFZfXpRjGyMr1+M6HAaUXCbZKkgFVhpFtfrdXJf2Cg+v9
qHrPOHfK/xzYjphYRzWebi2ZctTCdOTLHEVfB5VkPEyNbAExRL8dvIC2mYiV2Cr2BKtigSGQDsfl
ZiZ4MEL2ve+JylNUDBnylzzd2Pi5hmw/cX9Fj3RtAsl8MpS0ijewVvFk9V+5ehF6FafUQ/egXVzZ
tif6iMKR5qDYIj9ZpGV5YI0j62ZwF/M9SzjilrQmXjqfFfKqnxfOhDi1oOu3fShWFIGtimNmWNTy
2o6PcJZ71sudbN9CvzVNV0IZlJOGc/4+yzByyOV2ddAz580LAC6FAHqOTC9ycxUKTJb8EA2DdfMf
49lUwk7GrKhqZ1+NX3fhg/1L0sUDFtkY94fNY11x1QLrV8uLZjajnNOxKz8x39q7KG0El+fLuvSZ
J+G4CdNVZnR8cip1Js/xdjtTrQRM3kggNFgbfRTRUf2MFSwoK+bi9exHI05KHWCkkgkC7xExLwAm
EPxYXYxK25So63+ScFN+z+yWFwNyyLlI5riI4qBSFzGYlGn23K3pmwVTNVFAZqSQ90hHZUsCE/B4
2BZgKnEIwsAk+lMCor6JotiNWOcrVK4SBa2TomjjCw5vR5inj2VxUGJ7CpIuM1Ncx8X7v2GA3hYM
w5x5VPT5Lu8I3NFoG7PuM1Nbg3l+nl0H3wgt+s6VFrpmJX3L/53FtGsHzjBbkcaXliVPkbDm+MYs
3j4wo8aNjjy5Z++YD8yu6BlErSNoBbnofDNDukOn+0//Y0PiHNyEntQaH1NcKIEy5+BYclEau9j5
5E/M1vKW7cVUA+nPMhdO7lkfaZaJEa0508URsOuNITaqRb2UYBJjbNk2WECQ1ya7totVbVHgMQ6H
wYpVPHAVyiXHYHrKLc6pCatT3+b4oQxJi1f+blBTjNY6qDcJ8MZiT8O2brgr7xXy84KXLccuoVd1
gPCXcd9FhO2iF42wmNm78xpGBdL8MwO5sJ9spXujVxsYwFRgBV8qke3UTZDd0SoX6q+D2dmX0VDs
e/FViHXLrqSkgTtZkbHVBRDLtEzqoWqwsCuHuSTYtBdy3wLKlqudmAxfvJGNaF3UrIuOXR7J7GOg
P9varSfEZOQbuTAuuNU0RRStGuxxZaf1VFmcUX6ERoZ7ybW4rOo+4xRnKuTEr8IbyovXbFSYm7aj
cIbZky4y8WW9/iiGccqaSNeEjCKKybl3mCQAyoSnhb3y3lJONzy6b9AacVEvMUzUACBj5RJqtGyY
27osh4Vg6B05FRt3vT+myZfuokrBHelcAuZTlXnRQFfxIrjOcs/0VNAE+OpFIc6+HSto0P9Hno9r
V2APSc6m8O/Qs45M7VcrOkJuuEBQgN1Iq+b8RvmWbm3iiOzOEqrKfS7mYn5lmNmDeUZcLRRpENA+
v/jOaSFSIynM1vkJc95opy/khwciDNvprrHWAYurc0Bkv3IGIeY5wBGtQjuI+2LOC85iUHOWXVuZ
1AdZPBslQF49EJkuWtALyd3bXYvkYz18v6aV7YuFR28DaNhcf6US+ZsulZ2F65E/Pr9eNfG8wwP1
NpgvDHDBDXmMAQca/Xbn/9VzRtqlsNtW9JpQn+pqxoemGaw0nPOBeL4xTbPuTRWOPOMc7DU2ojn1
/R8d20oQHKDQoXFZ9iVkTCChNZ9udsOwlIYulDBX9TihJiRwvR6eV5vyR8XKPi1XTGLyxNe+5hnl
afjubl9c2Ycrup0eRWK/tzKg2jtQFBkIdRFKHyAg7Ylrog4XOCAPIZEgMZFK4kyECSU8zFxP/KMO
lAM7nkgmWkEuadgwnPFcUZ42FeVd0nblUKBUQly6tyOl2S5vNjzVe3J3o6YSJIrTUqT2sbxahVDf
5GaVbuJmrpo0P1qweQGDzCx0McAZD4iXA5I4HITL+fdkbzhcq512QJxMgCCwtlQVu/SjqeVwa/Ub
zew+J+v1v3lUyc+8mLoVFx7VoQDvfSDTuUN6glEDrt0oXF7DyDUMlK2lFgPBA919Yl71oIl6XgNA
tobCS/kuKyXYy6DpD6wBb4feA+YdSYgfxjR0JJ43qZLa3OVtvlFvhggBqSqsT22QDUNJJ15oil82
zhgXtXE/U+mQVWQCMCzm7IgYRuU/0Td1qOmKLFFhBud+Dvb6cDrWvTHNupyM+HnkHEBMffau3CD3
qNJoFzWlgv+2eHAXSPp7v+qLOrqBulW7qgK4EJkjSGNehAiDlbLjw3yJs814GQL82SaCt+CmrBfX
qAkMbCX7XnZqmljYnyLwqbYREVRoG2OxaaEOJ2jdDKvvATSkRc2GYNYgr/zitkWIDblfPmasMoHb
a9SzCO25XPz0lYqm6OpEUecv4D9JS2gUdMe9NEeQGFK3MZ2+qeuRHAOsRz06BU4Q0MbHaXlGYFeO
h5hUu3shJElE6qDTfk2fpFSl6PtxhbZHLKTuE6DFOS8DGZpz8JCTrGTBwjuZVzbnv41JxMaRvyp6
eRhNP4IKOXtrXTmugsRF8gFjIoEGPQLY1m4vFiFfuVTN4Uw8ThKmIJXh+Lh8Cphi72b46NOVtmFc
kd6Hf+JlyBvBNK7+60AMPiEi5+iNw0swQlZrecYTSHOUXHYCT+wBPoJw33ASOzYHezf5jdqpQb+1
rnqyI4xlZLpRXyMemtqFA2FNtEAof9aAwZBBEB55czJ+1xByxot5BZLshXPD+iPooGUtA85hESIN
oNu3NlD0zwVHuAoZCQKcpFfd079QDL95SOAOj6YcB9TvaQWnrK3GYNDEeFJRzB+J8YEEHbx0KJqL
EgL6sWe9o6WJSk6rWy15SyLLtjoixKsyoGWz34AW590Mpcwr/0wiCkW3MpitCpXpmk3P2vxRHMjz
Pko1/ngw/cjEEb2ApDukDf75OPWBryQs59m3K+Z/2aaxtV/yyMoy6fVuFqtr6TrWxXXGK5kn24C9
RQrbodm/VU6cCqPkTgjTgzeyv22OF8QvuQnPX+4BzThpTNkuaNbP75WGaMWTwaNZGVbUIE151p0H
PddTG7wQ7lW8g0GeivokyEPkndRA8Uv5H9SN+okihBqDl3qz+UyJ7I72IiUCKQv96FElXWwUe2vK
hKVVy6v9eP49zfUIwzYowmQIt8dYq+aEaHb8IHmeCim3L6LFZUirGhejg6gQ47ySDXmi1g4VNfGK
GAsZ68KIoEAWOzW8YgdNJ9801n1xnQQZzzU7sEtOzWVsu961xI/HlHhyp6wi6+pvrwcaOeryxNvy
OdJJ8LUo+5StMDymAWDunFmlhhrJcYb959Nr5OzBebCEEDcmfwLbOzFwnQ8K0aYhoDl12tf0O0DU
ewPf70ee8/R5OEDFrirw/Sv534kra2DBDVd5c6lC0HktMxzRueZ7Xlk7xzCQa0NTvWDuD0F8YeWO
KL3ID4gE+tDGTqEWs0oC7OyZaobZmpHg85A1LCHJkq79QFK2iUpeszfywpNAWiaKxbvCFeMXbwkb
EfssB5iuB2lJsh2L7315BBTbRUX7BdpWQ2hDyjZmb1MeTyWkhOZB5ljnnmulS3tjhH//C1TNNBjF
8skK1y6Qv/oEBd37WbtansyU7CoPebN89q5Rh9hSPR53CXfQm1PWYhidrCJSkauQ5yN0szoq4Xf/
z9msaa47E0KVgOyuwRbupecl5tKONDxrpz4E7BUHi6VgxiT3HXY7fkHYr3hW0JNI67Jl8wbn1mVU
aTrtECNVy1yI6npk5QOSSpk3NwYmbgYGzBXVZPZUfD0Rrhxk67SYLTyiQ9cMyXp+CclUtl00hgOo
sMhLCekazlDMkDMHChF+9qPoCN3cxpfsYF+1XAUd+nSv5g6hRXuETZSrFWyhq3gASDD6mG0hZSVm
cUUHBQoTtq+f7zJI4DARiR9IaEOdHl2WyfjeDhpMdzXqk9R4aT5g62xPlHYQK+n+Eo8irsGU4LCo
4ht1qTY6ZSV5I6syKjJrt3HD+WWQ7KLir0jWT17NsUhVzWtC/Z5R6FKT2DRtezwBO0LfKpxcoEc8
q4xNA8xbZQyOq50rXEcABIhStuLLW9SafOzbedJlSg8kbYbTx86L9O4D+q5yA3QfLV0/XQ1DJRdH
18mleqSz2jjgGteyf75mj7a3liZxbwbG+ac75nSc+4oKkM4kESs414wbZ+ZBTaUQ42ZH70UGAJVe
R+m3oHJHVIOMwrLQSXMb8hJ0oLknKHK0e/Is5eBJ9L6RytfnVuwg/kRdZuNGst2+L5uTk8t29Q8c
npiiupa017w2Nm3y7jvcON7IwLHYFAgABw/o0zc1u7CDZTMmJ07vjcdvnS+pRlLrPy41bkepxdBk
OPXIW1GjOIQ+KKhELbhDN4YOlOca3Xx55o32y6LlUEv+kC2xqbxWiiR07hpWsGka3gjZjxKAXs9K
gA6NT/LLosNK/H0yuimNLuj8IRfO7ClzpDNN5Dc37w8CZa4c4sy+qKklKldOQMtkOmUSY3Pjttsl
ULUI2EBWkU/bAbp3sl9scuRPFEArinvgZ377Kw8ERl9zjcO0tv4C1GVLsBVcI0JMspHnsjkZCyx3
HD2/00ZOWerHx/olnVAjt5J0A33NTSFTyTnNJLMQYljfipOdZ4HDJYca1EnYeCj8kzZ69tcYjRGP
Ka2CcrcTWN5Va2aOUWEM7nbNNhZhh0RZod0/XcBwDGzPqnNinRSqCaouKY2Bd4d7Mh64GTF6+XTf
LNP1c3lmRVUMAVNDUOME4WqRrFxtyKimAoJqnTIsPBgnpN3gdHNIFuAp11hM+GfSSJtJuAppXkvY
VMXFBVAHrB0Qpk0+tj1qA/iJI3gQFdQ9VPQKOg69cuCo0+vTDnBfMLOq8zjq2rHKcmY5mfym/+6D
8+nQHk0ds8KiRAQp/VrtZ2EabPGcxGsaEbbI3GziN9ZJhelONEKXUuJ3djzlajzspQ1aj2pwxC4U
gC2VaHUTl3/GIPEMqb7kA3y2BFcfWNw0YqizczqFSR2kHnuuSQFJ0q7HHmGXSbz057O16v8jnIIa
2FGqqLS+nW6EBlESSpTezujhW1GVY2LzEE3htrAFmFYyAHWSL79zo2XRfhloBZ5EkmhtErlsQ6f9
viE5BRLPkyHkN9fWsAl265wpK+N1tzHwzWpqL/W+FCaezfqKAxRm6VZz/SRpVibs8DJunX229hMY
t+BfdjLP3roDn4b/xvEyKJikfYuUkTy8CJfl3TmD1W6VFIY4CYlLt1euBCz3NCTeDiK4UPCXzkwn
OrqoTZLscOW7KgbFR6ROiRCQvWOLHJIXKfS8WZr1M9SbRiCVBy1FQXyFz86mFMSxc4WXdq2As4T4
PJ2h1XjMWam8AppLo+ROW+L+pokb55VJ2iA8umJbnTZ99C97qE9u6NQZ+JI5rvG/4JEmtK1i1fiv
OT9hUhN8vYhnaof6PIpt9BKRiAV5brwFZt2vjvt/1yIuVlXOxNKL1NI/yT7odgUp1odFLaULLD2J
N4msX0MRNK5sVrr2etmpXPXuKoA1VRV1a4G3yGKxSpht2+o4/QaGBet+fzTX241DbAwexeFRg6Hm
fQseYHQ0es0yCwpmJwAuqxi811JzvlmLu5ZSGMSD3oskkpnZuB2viIpl9c2j0doNYIIJzWdhzTx+
ksHwpUgwCua0xO0h37v3GLcFfqNfKCUk4QXIxPu4JZypsInUBxH0FiteOJGEM8+Gx7emUC4lSuNH
8nS6B4JfjK4L54a7zqhxVQ8Fwh8vFlVplgtiv5C4SjHubWknTc3qHbRGhykymETkigtuNRQkFdY5
rYOQWSA751aRbXmgWjqDbiUM9/WW4wHUe4rsNeJNcdcYndQk7KvpCJqBzodx5TGApbySHGZC1XZ7
QYdzRd+zJv3yhaLiDxXT7zpy3O2xEGJcYDrjTSIQyzGy+PnsDCKolz/ZRi3NOSMXvdBI9Nx7W54N
SAMJmj5+gEYxANvMwZg8jxktfzm6XpSYKMi2a61vAmKm0o8sMZgf8IILmO1SDldMakaUeEX3n+08
EUB/Sd4sG6emzw+2te8h8NytcOeovYVMBTkmNIa7gv+Pnib7e+OKu5FELXvNtzxGzXKHxLknmXjW
oyd3NkUHgiH8lO9WQnI8mkJQJrhURJbd+jejxDKmAZUbe6Mf/FxQxjfW0e7k4KDKMyGx2zOOayw+
LKd9aEtuT39M+IbopaTc36pmugESSQwTuKTc9yI335t8L2jJqJ/GU3VkRyptk9bKPowqmtPoQ8aL
L7jKSPEvSjfoGITPk/DAnif7mKxBGvZpzZxgL6lKFI8/cOo+1pS3vZD6l8H7jtHPRFeWkRGI8KOw
l5wrVC4ekK/fVDJTVzcf5nHDLGzaVQJHslktqsiD0oWw8iQPaoUC510v8cAXZGufOs1JnpM+1Olm
LtaEJLOhOo6AJ2sHcW1cSUDesqS2aFeQuhMmnEhHAbkrGes7RQsH0r8BtKSG/A0Dczq5I/DkCnhC
aG0O3T0niy0nAtlMRMJCekx2pCc5eqHFsziaEZQKGNTCfd04qZ5F5fVIrgPTOhJnYW/Ppm/RF28S
ofyZp8ozso9KM0NwSSyw8Ep4Mn0q2YF5fI1/j0shOQL5Tzf0yPkhQHQWEX60kVKOE+m89J/9qo/4
/6Ve0VHfzeNYBe4FTtGc0aY8G/XIEBpPTZDMe3aMGeco+cUy9Xap9uYCJ29D9mH8oX3SdgOqq55y
vgC9mhop8/h8avtVtEv/0XoAt2pVWWQHE3l1drfynPekg7P8rrBCswkBuvaDPw7gtggg50jrntgT
69u7Mn4dYJNIZrhk0Gd4LgOuje48c/0e37PO8k+EkW+C6GcnbLfhGgb6QV20ehZhPChutPff8ohn
FA0zQKV6s0jYsI0qrLY70CHUO2KMBySWZcjegmOFcMxW3pMfiAPCnGVUzcE/p5KvCWj3MPfhPtyh
dWQX1xZhObZmvuYmGNFSE8nfkomD3N5iDNAnc0x1QjPZWaaGuOcV7TQYA2NyBMuPmhglV1aCDpDF
gbd2S+BPsXmDxQroGC0yCeFW4rsXmk0vK5j3I0ju3uxqD51Ulz/4ISMGE1mfq52H0h0nPRnbUf/d
fnVRxg9XlRiAU9l7uDuW2VhRp5cDhaF8mbXi++rr05OBejhSt4+cV0Qgi7g/jCMMsNYo+zC148n3
8rhTwG1tObpgTN619glthyFYs8bkXxXYPFkb3BKP2g3eq0goBDtcCDPFGAnBlCvCjd7sRsl4mnLl
y9YQdaNxOKbFbIEmN4shb7GwWosFA23Kz78rwk6KRrqvMxCN1N/gBGbL+/3AS87pGtBs02xYQCWd
eKhaEY4oH7uIrmfS1PqHzTty0yiHYaAZFWSxTno9iJjHm/g0D3hvCIF3e+un3Bj3r4TA2rKDow0K
4Zk1IU71fyeZzjXQpQV05mL0WitpmuATR2cizXQUgcFy9VSaXzbc97rtIZvFXB2u8bGDLc715Lxh
wCNCTTBgRCTuiS4CuKjCqiHgEY1R17zI1eV5aVPhJhus3HmCzFfCu/Ptzei3fP6Ri/aZK1E7eTVQ
oYWOXYoyNAZdAqE3VEFEXW7mjoOvNMrxcZNoJ+lmVolfQXaEMts3ToSvApc2WlA5rNGFFUdKiXyZ
k0jDpcLpv+myYep5r5Fjn7F2wbmdyvTdY2Jz6XdtQTtN/7wnNbLO79aLyzUcdRmRG8NU0Zgr9KGU
RTRNcChoknGL9SEW0VC7S24pWcRFeKgyaksiT9h7JGMw5CzrbKwXY46xVisOgAAgp4zXx0lapXXV
2KK7ncvZ6G/UzLOGgc1yBTT0KAtzgcRBiUUU1WpI7g55W6Vy5AR21Ww0Ab4PwErEHskYGd2dCJbo
+5mjXkZgNVn/nzRWiu3EyrkUaw8tWQrI+x6pI4LE7Xd6LjL91I7BWtROfWRrK1Q+KczpJpUOzpzs
i4IWYoAku4zskfAYn4biLkWXMo9ttrnZcTaVrKZvwlVQtIs2x9sCa5MNt8IYjz+GDTRgDDFi+506
jwpo8XyTV5MdeVdeYNSI7GarvTiktlBkkVW6V7uzXi/nCf98f6IXjjB3tY5eOx9ZKJqpvdsNZgW1
dCzMffZ0/lweLYbyMf/Y5b0LvALYKXv4N9ZMp06NEtbEx8GaYZXJ0CeQw7SapExelr5eUIRt/rhZ
J+CH/GB0QLum2w5zm6UouY3AF6t5JmGQYhAkb0Si3+MQig4DQq9oWzUgZq6/WuXtxlI9eKOI6e23
+dNUHUrLX1JeTjgDdBi7hJJVqz9RHglERmXR0i1lAJOi5Y3wXYJ5t89qeXwOSqsXSGb0/2qlvMUx
fpNRnPzXM7V2AJo5ItXaCi2oRqndHd2PMLgFuM86is5pVM0aSdOj3auPRJhuYuGonTkPQOeOtBeg
6QCwb2ssXyfFg7en/zCjlqF0DH5uEI+RZrEO/hziZ6gCUhH4Gzzi6nLChimNPz1OgRgtqa9Fpr+0
0LoGdqR96cctEfgOMW6ib6NfI31hu5BMisq38YSQUwdqlHAlpBxKksubxpc02cQSljQy7bVqwxkV
7hlEGYZdzdO0u1Kg9SSiDyrYSyomdBWI5D7njt3PWGH9L239v9NFZUxuWxKqfRkWHdYuVcDAl+ef
lpkFKnO3hl0G4zQtHfVzLneOgTGXDbc8sFx3kScAxHQ0fB5unx4m19LZdE+YfM+TFBJ0ZvyHzJwU
IgwyhIpik2n0qwTsitSwxlCMtc63rFRotTyAvhF0GZXF4JvyTOPbzb1ttJcgeAmhsTi0X2i/UCkd
bmIiVaCv4ZLw61qEju9aBEKWjiKt1pQMTb9Gd9nKbfXUFONjQXTc8daOzvZF5Sk/fUYmE+ocI3ge
uw9J/krTTpHB0c2cFCpl19sLE2UB8jS2b6WPiamnTcQ18sanrDnZDZWaqV0S8LowfpEPHgURwtNM
tW6jkbAfuQbXy9BxYnTmi9cTGageCKgsgX/hR3Kwa24Z8QTe0LPMW/NQMG1wzwKa/V8uwshc25nH
ZoI+1RrVhw+3C0xqwloRNtWN5WEJmKcM79BLGwdOwFRooK9CofbNNSH+0/S5zBUh2DHXvppGNRez
YCv2cnW53bDRCT1lpo5wvDeAWb8zhUpR9Dmr5Ezfjte4yUdLDHU6Aprsgw8yvlHHbLkBAi/JuT/0
eFrlt/G0J095X1YXwCH3LOImtxs8otl+zvlQzIli7vhb1ohx2Fy0YcxxcT8y2wxm8BZD6+AFG8xQ
zRgixOxKRpFFn75YS1+Pc83W9A74Dubnyvl11N9BGUPjXkinr5k13I9OyEV85tyGrzzE2vustfsJ
M0pjsMP/cQp9xtEaczaFcsjJJBtPNVq207NG/VrynZG1gkXkSv3XVufHwqBTb89GRKTiI3b5qxYt
3ZPoYotz2cr5ldamEqzhVPulPFMKFIqBs6GnLh1JgOuRpOOX+t4xo8bg+qkXzLNikZkGj6GB6Dam
bRzPTTxFTYRGj72u6ToXPn+wsPdd6EZGazUaQPju4pPe19p3qaZRM9O//eDbASIm6ekCpPy2Efzr
MzO6YY91uZRc5FV3JqHqJwRu7SIJt520CfCikt1f+aBITXoQWs7rz2KzS+KaJduObDE3D3PZbY9i
ybljdx1m9qjj2EsNf5PPBwMRpngPRLXWC4BdYjxXyE4HXDoh8M+EcqIJsUhE3UPDfAskF2YOrIdc
3fbCpUAUqFwngwD+rLV2u73OlHysxXSVGStB0rT4Tucn+C+2wvDmfpOrPECX3vOrpsJaQC4YeCSd
UUDbxUs5QOHWz9W4V5NzcW+RB+UcrcfzFrwW5ULoxNJ4N0aoWwt1dzDbbJ8e1EDT/9DqhUtP1Nu9
Jdf4q+xxuXdbJaGDrlyTRUk5ayLJVz/V1+z89gGPO5ar8Ts2orfS/YvWmX19/ls1SVhPfhU1v7i8
HS5oegej6caIFr7Z/W1Om1SvjdIsvnZeJHpU6TA6D9ENkxBxuftxGxosFp1uJPArkCWvqmWJFGD5
BExPGkllWEdNp0EQQTpGe8ceeeSVF1eC6Vu9WwSvvUh9WAbLa3IKaFuvjpWERI66HzPPYddU89xI
3J7cmB7p8IV6FvXurl5q0VS5XPF4EWJ//8+PzN9DnNhj/ClxiKFvhRNzW2OA4j48opLvKLea7IDs
mnb+7m+E0VhyyYNIQZtsnW2xlu1ujM3pPgfyvJVeQNTlzu4rzNQGL7GD/dhPQQxrV98/dWhNvkzH
5Cwg/Xn6Q+KFnfoQxC2loupNV+qc16KKP0xaCyY7hMtBMbGlUdGB6FyQHJffqQ5BpQPr630FoygU
RM+Ru1Nr6fdR2KumVrVQUmk6qkKvf9PAvoPyGULGisTytwhhHwzV/B9vfMoYE9ybaLxEZRiAavII
9seBPfJTcqWSASU04fyz85hJPXK3E40BZdJlZwkbkekqHLO1jBbpwWGEsnsyUUnVcZceJUAgf9ku
BdPytze+OeZEyEBsiOtQQzoazyd9GgvIAcjFIwEMM45ptPhagDntFmj3Ek4JI7DdrjIF5vP5yOsI
2BF2K+X47GkRk3rycqQtmcznQbEGkeCGokcecb1yGsPOPeSQ9dHN5XJociysHf9IJGwmc5MHRnDd
u1Y5QImo/fLo0vyvR0fTBDDzvBEUYyh0rP9RXdkCh6x/qTPrlg+ztwJIXrWOioPB2xgLN5jTq754
tUOCF8a5gXHQ8lUJxDl8dMTDq9ojLRq6dKY3Auz7oIoFeiTVfMYuaD+IWxOLM/hfCqA+6aPdfESg
W3SxXj27Sv9NozJ6kVWIrPyVBudpIZRvA8HLXxHv5qxUE/B0+VQ/RONDluVng5NbhlIuhc2MRAf6
MPDcbNO7Za3gV0Ea4cbXe6fCnfkZdU0kPb6DQfPUgDTQCiEsFsLtiD0kDhxUNLJW209SFDIk1hDZ
8Bc97yfktWZRd0ecym/ekv2EOJfT1UA+7K6Q85xxxu8TTJ7zYX/36wqi/9fUDti/H947z9FuYwWF
mq/iUmu9J7AoFIga9MWESa0ZIXJ2uINEOrydxQ1zLwUgsNYYKW/0yhMtZ9O4Xb+sJSwAhSOVDpJB
hCnHdCKpI+V6JYAeb/CgYm5X6vLTb++fCqbG10aEgxr7dPb08XYPuohmg9Luq1CsN0gsNVeFohnD
D6wB2KGjTE0S5hxwL53HH655rPe+t506XcEL/LJuJVHcwMpjykGhx/GIQRKymj+dnPBvHqTA6dud
toZQ0auHFJ/s/EI+xUWjwSBioHrewRD71tSU86ZN7NdfmAfN8wsofRS5qlSq88E4a8/70RDpAZjO
VBwbVU7h8tAbdv25tYuLya7C/mD9X8Qr4iLG/3nek2wZ4pi1swQWsbht6aGC3ptKZ53m5QvSh3jJ
q/r0F19OmwLE8gw3+DwWYQCSjpeQYogDqYoz6iaA9XiGsq2zN3MeAGmvWWTUjtDidjuVg2yN4/uC
gspekFv9wWIX9bl/+aA1xep95Xzo+Kfxw16gFZ8QBXlN4Z6tvDdDMO1/VJ1G7udJ3U9xavp3dqtr
FyxbfhOcqeChLnI4InOKuIwpCqF7vSNEt8J/2sIeCQmrDW6mYBy2Vr5vehZJOrVzVuHr+GM0SWxa
EfAu1YoQB48Cg5L1dEHMXqaf/7+3mz6DUdLbutTYC4xeVrcNNVaUMAozm2B+Dox3b4DU6ZfSALA4
vIbcuiybApnFiN6aBjejV1Scrl1nY9lEIXkN6axj8eIHLv7Q5nra7FjbWhqnq0a9hndInrW4vEAW
A50IZQauSYhk/7ciz8LM5uUCk234Q6IgCjdTNm9AecdHtFSC1x41zaZguy43imMnnvFVq3Uh6uF3
u1TVKGzBZZ+nfSbAX6pY+4zf9FqswaHUIqmXA75yDLwk5XaHEFdU36HhE0Xm7rw17+uTzKk+hcq+
+b5GaiH8s74A8vLb+GK9gcpdHDqxfkcTdrXiTZ3sWXh30YSG9cPJJsTH20ksDXarFczXrQE0/NCN
DzUsimCVlxysYNBXQSZjiuig8oyu1ImkxYUxg/YvR9TbnT1ai8ctMQ3farTJfGXKrXZY/F4xvHPp
RrTK2bYInU9kZ6m1jcOU6xOwaR9tiTjF0sW32cFhw3fLjBcZ216q5qXMtS1ZCkz2hxpSrO7D+ycd
LHHa6B7lTu5xIpYb+k44QJ/ALx3raBVVZHdCdFepvlpKbWRzVit8z63/8D4EUPMy+dCKatVTw4aB
U9O0TFEIaN7XDt4LIH2dD9aYdja1pelw2BzTDDsk8TZnVk1lCP8a/bTN36TRXcihj8H4Lyvrn7vz
N0mg1DPUQdWmV5IXYA6JJaaQSofbaxHJQgAVi4ZQ54oOozNynyvXvoOgUsicWAAP9wqGQOb+duNZ
DxlDXI2NA/Yo4ZF4OHfRpHLaSqd7FwcRc1cUAhx0ZZk2sULrY592dT1K9qAQPftqHkIjS1vJ1tEU
xxXnXMz2BxOqX5lk5hXBtriqbkZaM8nwpca+cHnAIFD3MCE1WClKQfXHIb2PgGEKO8/ki5hXgbl9
qfXTOj9r91dxUqwLxwE4oSx0NujvYAHXoi04dlMXUtdDU1Pjm4exj0tXUWzX3WIsuLyoK5WYEEA4
tYnQFdGqsiXPiWoHxQuoQHdPxZ1/xqv9OC9jN/Cko3Kkxu7B/8RSYcNJiqjMwACzo1SbUOUXnyod
QHP54k1VSKFXAxl13nxOPrxwOaMix6KxuhWqnqbJ2DAY+FGeQ27yDsyWi4n8VWbLHqs2awb7Bdmd
V4P/bqqQgiB5r9Zmb81JIeK1j6uO7UZJteWQSg8ft6WyV1YKovrlV1M6yZJTHbRb33pXUnxZ/Ebx
5tTDF3JrKHSp1wWGRYFxlIjlvpuy9XiaLWDjc1BRywPkr4zLLsOc6qLxRASp09VZrF7vkI9ckWTp
16T4uFlDz15uLoQ0JVIo6DvDCHocBxQgGgdm2HcASA5+iw0FGMPTc9ZS7r2NxjzRJ6P0PGyl5oOB
D/c7sqw9La1jOaNkwzMOo4XTWo6cVqY8clqcF2uODZDvAYmOSJm/Nv12O7K3+cct/VPpl0eQ75zQ
ohfrnyEiHA1PaOtOKr0PB4pd0Vfcb2FdHVx4nNSXVfwIgrYBVQZ67qKI+zAX5Hpt/60xL4hvTWfd
6WHXJuUz3FvSx8WU6va8HgObhzlRUlteIVFYm0QZ03FRPCRT/eHn49p1U1HNRxoNBw931GOMSZDl
odZZhheC+QKjMoTfQB/M+AZzUVl8zeduyjImZeG+twrgVbBPnf0t3z1ZIfm2xE0OkE3O9cT2KoM7
Dqo203wgs21tVIkIYMV5j1jb1RdOVKKJSVpQt+b6E/pm7MlPYpJR22rS7N+mk4bMOH1m5rl5qmCW
OAibaBxRdmhdblKxXO1Dj9jJdDDzmrfKMClt+3EIDJJeUbCt+T88l3hQc5D31alSkYR6HoDfW/7b
DCEp/KhOVrqdtyUlVBLwoUhuj78US5A6qfz3Pv4MndiZxmWF8C9T1qIajlY9zXxBUFmsyBbffjI7
/dmK+pOiPjPzXMY6rxilQa0jgZ+0DNcZ/eCkTQnbZWSRtEb5wN+spo0Awz88znaH02hh/ipGCkaU
wGJrBqN3H/8/ajMhXQAfY8gyrv1oJLJk0rzm0+9EAxB82IWxGKq569CIRK8mdAHiTQKO4bowRTtS
14Fi8jZEXNzauxQsB7OisNayxe5uNelYxrEjVqMhMaU0p/ReEUdcY1L8yjssT3KhTHmrQu8K/tde
RR36t507TxrM9+3xXERUR7Nv2LkcmnuT7Aa0oklNUsE6BR//7XF+qDlv8dREerhoxbZtLoZQgz9t
cWsk+7HaXFrvhDtO3zu8lwxwcWniAsJRF4m0YWr6s6buty/LN8z3bpjiRXEkik380diN1QJFNu5U
3zA4LQe3JzJg8yDqRmJbmm6mY0alpr7gxv5Y8X2dM4VOtpBa+O/i7ku8gbWLyWKdJujLswUGnRmz
WMfI92ThrVV12U2uISUpc/VSJ+QxZJpxQvwbQsxQ4XCcxsNcibXNrVJd4j7lv3ssxqcRNafrfQbP
fv4DJkUZ7MAdfmeiofgJi1Eq+5fkRZZTMnmC4Tv8Cp7WDjxXS0qPdX7qc5DMm1ymaHV/nO/iYLQS
Z2xHITq9x0BKt/JAww4mBMvp7ALUfv2SKfNhsYjU7UkPuAoZ7JOJbQ14N1FhzKrBuOAveFObS/BO
GlO0B5I7p3zDZT1yOylwOn7vHQwtu6jDkVh41cy+UddPso/tQyyTKTYJagMfWsgmo/JJPeQVOGMm
gYdT0W3rlECF8TnR9Vf3rbQ3YLqcW3Q2CTNjozSvew94XETbw7XtECIaAqKh0R1LsBP5izuaejkj
9PDLwfps0i/5Dach7LB/fskTYs+5gVaOAmOBPSdR4UfuArrmv9+x53kakUTC9yL2t/pUqm6NMcEQ
22i1rx92yiAUwm3W0wNVvkNITaNpEGs2kiBN3W6az2sHNO3oxOoW2QOPpnsyiJQLOrQ3U0aEfeqA
lWsJ9M7GOuR3K2qz32OeeCQeOE61WMU4lV9ZFIcjzI6kameT8FDx7OUyu9BI7wKFSRAnsIjD89gi
hUuRWcFiS070c45QuJi6DEeDP9m/hg4pK2JY2brUaFrKRJhVtLxI5jk9U+ZdzPYTmpyjiGjSROa6
gF4zepnXHDvzMrzjnnadT4Zxd/C3HucVZkFiocg1e6MAH8QvMn017Tli7vHqm6dwue1H5tNpCm5s
9o047CGomP+7ksKuYDoW2mE74ryjza9kuHZePQjOVcCctKhS29UoeMpi7RY8MKhLT19zo88Xrh/i
QGDWqO6xFrqj9Dxjrx1XwWGuRnHoZCXQw0MzvIEf3m6H0Dz5NIj5MP7+iH46FD9T4bASIXJZxRRx
XxI6GiyQnlH63Vn0P+oAsi+Y6fLda1j1xxH9VaIeqDuwZc2KxQVkqkAiqv2V9fy8dMD5PBcZBU+j
AUEPKc5py6V+/Ldkf37PaZnMh7NLvyWrvL170avhNfNkruOfMK2Z5cpr0syhmWx3ewnZzRJInkvs
m8pv9qsjCB2S8ZBjNP3NWIQgGyIJkPiBcjaZiCdYT9ugBYujfl5aLAMuP/YSYrJalHwceTwSA//U
LRorki4LPhNkhOt3i6t26Aslcv3H/yVFpqCI5TylDERMnUH9HjE4OP8JFQNqjcEDnAIm/nBPC/+l
TcBQhexosc9NgRmO3MgqUuBx67iCIDLR8X1DLr55RjOIqtm1tEenv8pHLO/QFXeHe7tih5ZstoaP
eTg+/SbdR0yQ59kiPe+X16auT25LUMHB4dn/5p57wnkS+5xBYZ0XJjAM64M6yKNxdAtd8xoKDcL7
1o/l0ruHGccOo4XYCpADS2Ara3fA8T8f/M+2TO9MW92alI4j2WD3BkTHZrPUBbRDIL5DDVY5dgb9
w26zyLUh7jn8Hi79UJFi7FeSh3bG7XBHTlx7NwCUB+945x2293+K01yFXvMUm3nyx1z1uFCQjYqP
AOhoxePt6WNmpA01UNWy6bE2hC92v/kvV2E4PAPijeFiFSLTHbDX6WHs1HyjtF/KeLwrXv6whhaV
LyfMaL3Tu2PbeWAW76j+tLEFXFZVfO5aAhX6eRKwrFHQKr3JhIvQKkZZ52tIDbSDTYHKtAZ/Vg0v
A/vDEKPYMvcq01afzLviU66917Lp9VlMsCAfHsWwgBE0AiUN9PCmcyboDOYXejZb6HFrem7pPPhG
chJk5J92d0blO4yIkNJ6Ncay5s8GWjD27cS2A9zkPcGeE3+WUhFepaF2+G0QLCnVS4k31Y558huF
JlOalYoOfUMtNioUU+jthdHajaKcJQNK3SbZLKRe9FRFMiqE32ZorMuTfqhN+Ud+MFJHOoAIl7HW
hsMxAh1VXfq/l8PcH1oLMsjnC1VzLfET/uAD8FBNWwxCF96LztZKj0ZLpapipYBsZDHJknraQHBE
1Y8bWmfNnXYFmGeCi5MYxAbQZbN2UDObHB2VWyyveewktT4Q9HTaLCvR1I0aelpZ/u+zUtv1/e4s
ET2tVVw3L/Z770STiEBcsGt2lE0O9SbziwNqnj1nNwepkhhmSrvQB4JwFzMhujJhj23W99uYwH6g
H1sKu1qIP/nBkpZZVDArW4P/2DKx6Y713BCBUhOwnrs2sPF76IK0kOT2UArVKIdwhw1O2XhjkKqQ
KhQ181VKgyYCxriL+j9oK9cDbl+NknzCgpgum4+78/tfjsfXkxq3Egt5pCcJnjG0NakxinKFl8lm
D8U6xNd/8e9y8yWuTzSt7u5geZmSN/AD7lBNh0t0wwaV4L5ci733ezY5pn+GDOWJMkemHDiJkXKX
gpZ3c9axjHrJuID2QBP8p/ZXDh6ox94sW9XKuzq313Y5ABOpDuhx1OMte/OFQbFyg0PiQKIVar6i
8yS4YhnuTG15jEyoPgswV5RrlQfIW8NZP+j2xHpPJsl1Wged/FTP+wk5u/MSTOZ82/7CUoIEegS6
L/14dXuA9eUctH6HW8AkMMeTDYb+9gAz7c+b/PssEeIut1Z2VFfOND+lQeR1M2zKf6DLupgSQtXw
mfv3lnoj9pIO8BqWtWUAjR+wfmIfJgSW+BTwlZ9mlIsqXHkl6yTy0Atd9mW6BzK7yCaPhmfVMvpv
r/av7SPhx37kixtKhmwQEjUp9ShzTrjw009tyteDF9dC2lp6Yj07R0JVSU8KBw633F026dSKSgfD
w1+FEv0I0WwaB/A8RAAU6tc3IofLM76qi3FOw5xoUkOOFsIBo6BxWy9UK8iXO4Kc0LrlzRYudq0Y
ZmYmKC/vMr10jgOrepWtTBzQPr/lbPzsHR/+shvAL7+DfSHdXJ1xtZlHmvFUER3zL/j5omAnTYs4
AEQnwX+6YpD9VsoHe5p1OwfTWq07iuYovqIdCiinZ/87Zy8H3HWrk1Jl1U1jhOVE3utAeXuz37Sm
jqd7HsRt3Q/Rc6LP86Fm0/SskShvexlemZqFph2q4XLAsQtWRUYtPl+w3OBt/jQJ6XatdjjYjTtK
MvjK8n9JfVOeTUctMk46SmQ3sNcc7nuGxZLqEVb4KQ8rj/Xu0QUOCdYBjEIP+VpaEgs5RgEDjZ/I
Dlr4NXpWwuLdeFbghwdL/3kcW7JyARcbSzXnqkmJRQbP1g+WRkpCSOrOwbDSfBns9+KOLBs4qTF/
OjXJvoOoqk8gu0K8Yii2Cq7E05wgM6Lkw/jQ0HqTZAEB7rkg+med4ZHV4of63lVWWt8MveGPR9oV
z9lrwolxZ0p77NvpaEEkXtgaILs/jqy/e9JtiGMnSLLtj5kNt7Otuy+pap3y7jh9+zf/3OG/8u/M
YK/RokDd9O0yVha0JDK9zi79S2rODJjCYAwys6YTNpCDPHlghFo+c6dWBVJOI0/aSKFlRNIuU7Rz
13wlieiCMRvds+BqX9kfAr1sVaYo7TjJRtASq6wiagPQI4MdGbHR+02NOqu1UOcDZDTdqF1fxpqj
xYPhaYy8ca8KVNoKLEUflZr5d2ZlD5Fc1RHjQhFRon5AYlI8fI1IswpVoJWVOU9u/NRQIDXyGU1D
SAR3fM9jhXhDpVmoJNc/5mhwLMvRA07Pj1F4sp4SyczG1cIjBGOFf2/lLQRIVmYjmgZpdWXvAwz1
OnMyc0W1akNQmZxVN2nHyaBvLQ8TWfos4K4NclXCfF1q+bK227xX2YSRZGfieXw9HpvBhFzkhus4
kjwctPlYD+KAiu1u8tkbdQ9nCMm5lZ7cpdHFP46s4Ks+/a9YxII1ZlH+CP1IYKJxBkhDGg8JQt5d
WbPC8QInAA4VwXsvsdhIMO9Z2y4Dgcx+z2zBKwnQ5aaSK6G3fiwgn9AJdYE7BqVIiWC3ZmAeo9QM
FnsUHjd160TFrmefF1M/0teTMMH53dpwh3qUGQmfo0Hb+Xxo62Y4TdDa65GE8B3cMwsfxAFpLv5f
ipSLY2A8c2ySWAoQBo188EkS4dNUQoU/6f5DuhkSwPMhJW4VJiKD3xZzdUR32IcfkmtXGtx9FqMj
bXIuWYQ+/bPF0tyqDQdDOyifmJkC49v1DpgPfybxriQA6OBivoVA/iIwUag3iTtPCCukV3/zQGf1
RzG0k6FKN5RrA3L1E+iZaQuqEu40lZXPvNlCJHZCoS1eE35C72IxTtNynbsasDYBHS3XNHA5wv/1
u/JONbKm9eEICB7tnyDKu5O74CmNUCogKFS3/D8WQr73nyAM6h+8UIAAqeMN3A3lJl53r7n7usb0
QgYmPAyAaBQ43SaodppcPZ3BWghP5QIXaD/NY8GEmstSnfXhgnTYk5y+gi84A5TCyzSjk6kC0JU7
6h0lKsizgYt3MNPyXbpMvuA067ODgyZdoxWvYFKs63Hr5C2yIugcw/CuXLktpI/upF5qbnjaY3PT
xwpGCFwHddOUQzMi3LYY7wZsPnqH+kWM93deFf/2QtUeWr+iKV5fzBqNRVSuvUwmPYLaSzjC6qnh
vZWulbdnjt1th6yrsh4zt/XTvXi1hD46jzT2QMMVszYmf/1xrpeLN6UIZj09bH+prE3rxEjeqQzR
qPPWNfRj0kPRO/kGIrL2wPNkwMaGoFcn4QgaQSCxPBmbl0ESOrdDbKX7gTWKtx9oM8N3GuDWMqCT
LXkh2LvDck9dPWhnFaXSwZMKayJErPm6hI4oz4gkRF1fq1DkfduHWFZWGMqOrRuNXXcVGaMeYfgP
Xqo5zju5jVXUHA4hvkibXObRUJlZYm5bVa/YrjDynj5CCdzwAdXYyxhObTu0n14ceZMBc7q94jv2
twv9WqtfaoMgcXyI0HIcKyfkrePXWdxA2KevbhU9SB2OBCiBCr4GmHIM7u5vwL5GzTMcindkkf/f
KkDhrcPSjgyIz9QxJzROj/wnxyj/He0yC/xNd26zoF7yqTsAa52oaOBl2vrGOsFOylTi5/QDorTh
KyHNDUboZ0sZnsSysO+VPfutKeNqqke5K9aWig5pvThmRgoaycPf++pGE79X6tK66LSjCa4NJuDT
ZhyRnxnxsvBqb3XuEpzlVZnGwsXpCxAG563yVc5dp8IYLovXvK8T2pk/evuzS6SCXM0UaQQO3TDO
gXvGSJPUiyAJYk7BZk5OpcI2H0ffmQVj8VJBFNpPkwF9mEC9cOz9gkEWQiU/0jvzVgANL7eAMJxa
x2IH+ShmVn1608JBbNls2uurhfkk4PjeUJ1TbKv2lHTIlWIGfLB18QgsSIxCGr/HnQygf74iTuGe
yGn1Idc32HhoAD0frixuJvyHZ+NyrnqseN1vZSeHC+1nz8F9a+EDTY8NK/2rMY6qI5o0fFKrxo8R
jLtYHRN2D/wA1III+N5lFjS/SvEyxBxmcp61u/ORM88uF7/+kCNLvfDBBGWphbJqSqU76802VEtG
IxwS6njcJ0xlCS0N9P4OeQS8p5c5SPyLLqjBLNW4/QUzWr8+DfoZ4nCC9Ge3h+r0zXh/VngNuMGk
cOiWcsA6COpZpGUQONj4/jeAFf4b5XaPAveG/Gns4+0MeHkwVqD1rn4C5y5OvRPoW7oqOcGGC3TV
NKy7dIrjDF9n8RqX6z1VWsGiIu6jkrY6/goSlgOJZTE9NWhQaP99ddPS/GzIJWboHu64RZZ9eTke
tOysKVy/wNt6A+f0Rf4n0loeiFpYb1z6TIYyIHLBcYkS+Oas975DcXq3JQmtouqvEtFR2gcDcBD0
EUC/PaFLZD3JPxuIu+BA2jVNeJapTQkVe/bL6GqH2rq2oJgeh3JJWKsTuFSYkZa1cHNif5A7K6CM
cUFCD628TbRDar+1k1/4kH9GMbw3Mw9s6LaQHCCKD+Z9y/rEoImk3Q0dcWhKqoKaBa36Paxq0CLw
jMUS4uHpcGx8XKDzE4vFfzDCRUwb4y/nVal8Q0660QkzxATiZ/bdZq3FZct9ARYqbOUH6SIdikjw
jRsa9lUXLID+X5RD742LWqonfSIFTQrOCKOBPmunyRZGr0fKNeUfryJl1fmTZENNTVWnyE9V/Qca
/iNZQomR2nMmTe0wQ4KKYyfjUDC9BfAiJyzaNVs+lqzscy+kQUkQ1dgicaGoBJwEbsw3/nu9VYcw
JyjdQigUFDyH0yqsgTEUnehdHm/TPTNqI7ow/R/TstcaavF7AMZeZGv9/0F+pIatk/PbwKdJHl9B
92/Hgw9gxF28+PMDiBTIRhYhASeZvZC571qhP4EQ9UPxJI9vj5AURnGAEQbmwPoao+heAoJYY3Z2
1Fq7ydScGGz4FYFenNgTzErfx/sNWC2Ql3ClZko7RtPlFFiMCjXE9J2z/g6JfAzOdfjQGCUb/41S
y/3J3AnarU32k/DAOUGPf1vGVnKwCSasj6l/8KSutt0HQQkpb4p8Vk8r4wa7tI0uWOkys7qsaUlB
8LGqe5XSHskyjmDeojvP+xPYae4jMuRatQ0mzfXrNPbPrdGtgyx0JZyk8zyyYrNy8G1PORTUDalA
mN/ldo05tG2rabMBMYPr2k6iKXFeHsB1mpwPWg9wCUlxVvJRG5rC/ETC0zbW25fT/AvXd5IDsl5j
yLjONp42Yv8EOcYvcJOEVK3X80bQJ4RdzKZo89dm2I4e0ETeBlE6a3XbWtoS6SKYD9BSLJem4xBx
SttNameAb67NWkrX2m0121ebueYKwd/vlVmWD2pJw6b/UCLqutmlactMCV/ptZN7B0W/X/qsSPom
glm2dGIhdPoMNtGpJqHks2T00e6hHpPDlu7nHOReynkNyxBM0SgXlLqdbz8F8o5gp0GQDIWO+0zr
yDpQFUC6cRUPZfsmrN6UDhlj7sxtIor5pa+04VNrGHFLTcNiSDNO3bNJuR/PishkDau5MPdcdSUx
JgMz5evDFeO0UlzV/dc70/WW3ILe6Gf4goaXRWhHGuI3APq2CFvAbPMKvopVZVALdh4uxcm8gy1F
L74J7ZukLGdGvfxofqGTdO1swr9zBPzeMigc6JpcuaSrQLFXsuXEbWhsI0D4tgMv7cn+ZHY1r1Xo
JRJi2Jqxe1qk+RZ0CkoYZnT8q0TrVkDro9VQxjSrhY6y+bTnhViGlLAP4qvQl6wBFzW0TFtlhHve
HbETM/iAmJ6g+adTwaAB0ZexkAQYDj1DC7Wi7ljjLGrgriCCf/ap2EODX7Ddf83TtuAgUCzJhs0S
xP6eCALhcRqcZK4UtDynm83SwVBhjn7ejR1c5Cyv/QecqakNdE82Hkm4WMwmSi1tQ6bV5t44CxGH
d4GS1/8Ahcm/m/+mbOj13pxLbxtQNTdYAczbu+c3wvvjXFQ3HKcLaCNqIqurfbA4dJIki0STy/5z
yNeA3Rq1s+EboTWkEIIBI74CNB2d6mtOYOGArKxvyEY7YKxToGF2D/sDfnGOTJQev4AtG12Agv5V
Lzj+nYoAph24/8fAZX4OOh72WHNgnsOT3LWfYYa8560RUqr3xjyw3VkWvRW2EPdIdwJ71ApyjCBg
LKewGbmMzZdJlQyP1L3SgjHo0XaIkFQuLQRn60neARH2a0DT5XRc9onXi8ZDmtQTvdadujh8te96
kLcoVpehXfb4X5iiq8LFVHHYww1JXcr57zB5FfjzRmZ45vXCfB41T1KpdX8sezsUwuQ4JuK3hpoh
VK6hW5B15ITzE1pDxwicCjlAUTARVIOCs5KKzjQjU2jFn3UKUQl3TKhRO2XQSrnREMp4al4ocotC
4T8i4JSuCrGrvJYu4+2doSnprf4hAhf3y/ehZlWhGRHCFHYcC/eaC6pZOQOyUt+xeTWTPDaLBsrs
nWmGNcJAM+fiX/HGb/m/QX+LCvWe5kZJxOplFw63/SR7zKCvn6ihqUSVMzNg+lnhmvI9oZiDhL7B
68XFfpfRph0TWQYSMGZx/+CDrnSHBwkQRyNQ/5SROSa/MYvE9o1QehLP8Kf1cgjbc+uOIWkOxW8V
ehTVBNScP30b6oRf8GB9uS3R/nutZ2FGP2o0KRXmAGwj5AWRAg5Xi/tL0VLbm/SQTp3yJ1GHXSsi
pYdXq2oOd8TpnUbjekOxJsNayJkuUFoktBCh3pMX5XLx6eWOXzknfcPwafHJcyxO7pYTnagx/28x
6gL2zSDD/Te5M7n4YCFzDY/7lpS8672D0ZI3aqYgsPon+8bihaIY5Y5m2Hrhwb0sneunToyxen05
JH5F2YE6xz4tnja0cyhZB9ZG/BpPPzg8XKvGD7+424CewJ+fcU1X4tHqScrVI2AUNdm6U4JxUR1i
mNGqZ/ACNWeKliNu63KL7XfPPigsN3hUhjQSyVs+dfukh7ZlozCyDiCNPIbExMmkrKMV0Z75grPw
1Emxpm4th30qxQA5PgaVWWLfGkymzfLKUSny2rpMxiwtDwQOf4VXljzoroEa7CBDA8uV1eQrMrNU
PWoCiEbAJDalRK7LJ1wWnV2faDrQr49fgs/DV+nJ9LUSDltobWZ3o3jJhrDiZUI/nn17ijI66/qx
/BJkRtsCYvz4QXEXATy02nwL4re+q2EcL1yRWbdBdCsVU1yLP15XHUwQOYZqzwUTXHj9N2jzeInU
Ei7YjUqC2A5Hj+k7BMNQypU8bGqF9a+LucI9PnrlbZ/fIwR9Nd+lzU15X9D1nK6yjQ/r+D6+dp6C
+xGpYfSQgCHcHCMRq5hDDgeO5d/VKkpaUn3hMwXwqkgG6e7KNWqPMrdEgt3asDIy/I+s5IxGhPhm
pJHg3Ku9+eE8c0uaPPpBiH4zURyvduweFT1W4BnKYsfn1w5cLGw9lbEXXPlpfRYNhPBH7bKSdrd5
jvrDe4nLClcG3TlmWBvOR/uLUTwF+ETIiI6tPIw2niASNE5YUiGKfLL8f47tv2dhXfczZKhsIu68
h4E1fU59I2dGhKhx37auLh5bLDWqHHj8nnCMdo2D0nQqrC+0IvRz0xC7+s8S0KlKKy/dVG2CKbD9
JmOn5XiGUFnkGJs1Zc3NvEFstJCmZlj15izwICWxPRe6U4NIh9WZ3rxKhc0t3z72ovlm2asGlysP
97fy9lK7mIPSQvwQm6VohjhJv0QZAMEXG8UEGGc1PZlRtoD1CspgKbC5GWXohCqwfed4KguVjvlE
CxDrYdRqUUQA+Gh5365Tl0Gu0gZyxFbuzj/0cJBYtaGwGeE/hLJ0mcoEG/tDhzsHE2cAY9THiDct
3Fg/U2kyiLwb8CdEaEa3HB+qOIl+U2DI4MxMajy7bONiuP5XqH0kyUGrD1hB6VJJtgDPHlLdyph9
ULxyi3lRJCmyxvUQwInazcUUwVlG/V7PLVg3acXST8lGLAY0pzi83rF1lreRN8rKLKC7gpoUAr36
L7tM2/Wynyuq3iJvpGd4ydSvaPIrl4kX+MnA7bzLP7N6JUgZ0uwApxpXZVQxtUuzjW34zJdH7lCP
j4NyV3+JWKM8tRGzRDtgeCORma0pbWHQT2pJ+hZKtAZXnGdfOj+y0YakI2YLZGVMnn8t1oZdZjLf
mkPJjyHDpUH3TIVvAz6qu9ueM2RPPviHWxv+2h8GJsfrutTnDu0fgrjvc1O3iFYlRhjcdztyYQob
zB6NcnC9q/RG8nQf8NPUbKYcGxG2JnCRIZpTiSapPrE7ivW5D/Ge9wpga5miNQQbQIZHwX7/t1kY
19tlB0Zp98xm0G7dvaLi0eYRn6UGtxc8ptE5M96NduthOcVgFZJiZXTdAvyK1yiWVICuHqZqN81H
6rrmUd3XG93BQeNcPt1wqpcFCpi0lu/CggA9QU1i4Wuwxtd7UixBaFCUEtwmxRBxW+N+yzoQy7y3
PlXooOTkOhK2ddAf0RVRmw0uhVeV/WqTJytTo52LP1Ww/9dECQL8CyhQiVEtIqpi1IbotcJOhYCb
fuAlZsvFNuHmUPvVrByZ1KQjtiWoRG4aKtZikTmhr7Fwk2ctdtOLgvJNDCE+2u1eYAowNOMRMCto
aQdlduzBU0nUyKF4M42mIKs6kCZJMNN/Dq6RVSL8Qc19/ZgyVgt0ETdrb8oPUpH5UsGHvSClJ0F3
QvE1wDxDepDl6AXd0oFkoM0SutBPEWIAT/6WwAszCJ5wU9eNelsEae6xe5IQd9Fr9uYC/DoyqX74
2A+pGPN01zR7sMH/IphXwfDXGF6kxbzltriUo68/Pgy1QMo5EcAL+L/WsrDcAJW9lTnoOGJyaQBU
AkK+0xAV1IaavOwEXpd9szkHPgSDFnn7XsDTN5EVH0pb5CNpLh6F7LgQx7/vMt+IKaEteJS9AHiG
qMK73Ybex2FLmpXXEZUHEvUvhCplq1xnWrSlAaiCH0Liio1o1cEG/iDMymEoqFrYOqPhbJam9gSG
yoJ8KZjJ6uFDyExGMKxeoQgAwFOVm4akEmhhTI2J9AWEyZwsQErmDu0WHuwDvG0WSSuAdIR5dGEA
Rb39g7sY6Hmbtlimxp+XdaKblYvpWcSbvFqXwT0R4KjP5Nl7w8tKK0AGnIuEGLlBZhSn1UrnWDQL
FhzXzBQiOijGybpD0R9TV9nrSiywS963LXC5j0QoUnSKPoI0e0wljab/Qrx9C2hlVdj49TEc0Ufd
bTWSGW1xfNzO6aDX/Cznl1YSfGX+iXdIs61a3AILK7sSnPPzK3IukGO68nz2GFF01c8hPEDUOhmB
0Kg/7Rr863VHFzAlRTOXzARU5BkreWD/hG6NWVI46R+xO2XkipYDWwuwbt2wD9bM86kpfNsrPtkV
vqyHOrCNOc7a+ncvEDQ9O5GvfGiV1wJAaSEENdJP7o2a5b/WYgnEyL44mRpssG2lWmgjadG4w4bB
z/iLDlv6AyMUW51GaslCdnEow+6/OiBXgJ+n0aW5H+JZ+i91b3aNVvFLub8MqQUFDdI/kNDYNfWA
cKijB8cVZy7QNK4VmZap+nxCRsjJkTGj8Gj80zrootwFGtuVqZk+oyz0Whr++6/1I2E7jCt3TZcL
3ThAr6kU0Sb1GmqoLwh4WaFEpSxj882n/WcurIxSa2xl2voazQ0jCfvNwIzcla/JQYZE5gTlg26Z
S6PHZ7cMN58SwIXL1fHZkZZnSYP4vtOAaxvfccVwhZHtu2g5DixSxmbwXFG2oOjV529J+DZVzCMz
tXI2+/u/NfgPUbxNakaWWJNKKPlyDfpt2sTcXO+3pYszNHwMDwwKoOH32H7Fkup/g714fG+qx3gY
e5ixaSUKxuImLmMfhrPOGHddfQcMsb5+wslKeCIEWiCacw6gC+w6PAvzQZRrIGTZLaPTNX2m6EhM
Hsj/wxX5yWtMij0To632myZZwQx9pN5XBX6iBg4/jNugPRAJWi6tmv++bWZQwCn5bHRhhJH6mk4P
dItst+UwlK8wFiJVCUMaUkYQR4TV48eRC0z4PTTCeR2MP6M8G1AjvaKBamAJDmBgaUBEFZEl8Cw6
Xd9zjiqG3nylyOdUEbmw03mc8htkFXYnQtDUbPD30qBPwuViZZJfCRhteMFyg7tskMuXMUHhHXxd
N8atIwporoN8rkGXFWmbceSIJsq/zSew23m4Sx02iiScxKUcacJacYQKY4x58Pb1SauSASrpPeWD
RLGswkhAMDhwpOICChJ9p+F0xhr+F1xaFuFVZL069NLfrbPic+bqyo0A/OHN3uMoFvFpvaH3UAdg
PaKPkRD963QUiMJYeeS9E8YMl7ZlH35gwLvyWfQ4GKnR2VOyhaYaPzw3Kf5m9jE5AuK9VHBsRHfV
8Vm4NGo7bUmMj7cc2X7VDqex7uI6bKOmWEmC+Is/stQ8m36ja35rgS4hJ3eVvWj+fTNgZP5Kqiqk
zH+qUWH0udzSQ30Ix3KI6zjClrOkcPHIxdE14g70qNBK3kOD172I6blTmdVu8pDiw8Ls30zU45Q6
uNR05rco/FKRuNmY/s6I9cWvlL1EXUDOXYwWfP497UBt0qU9Pa7T+W0OYjU76qRElmdpA9H5FbmV
aQKUe2GnMoI4eVYrJm4NCWJQQJZvB8boj5gop9DikKmdYg+iN0fDZFT/aNYuMQw4/eg+JcEBOnkT
cwuTnynBbL/HK/8x5PxaAeoIcFDvgbV1lWvxi6PflZiq4Ghb79FLFAHK/iRixPPcLkzNew9tANTJ
KDv4fAPpw7S5M8GZzxw1G3gznS3SZ2NqVrL/lCezNUHfeeuv7itL30vqiQ/HX0uLdFXtqJx97IMj
33bZv26BgDer15ydbYIHy22v+5JwefG80WsTyCv7CU2r8D4C+9eZNL48ZSUyZijsMT85fg0yQep2
1/brDPOgn2mC8XUfKnXlJ+3/FL4+Ok0k6gcdvCxvhGJkGv/Du7ByoImgDp3FaUrCOP4G9xY3xZ7d
zAS0ia5I/2iIW/sS4Sds0GSoyJkTE/vnV1cJwR+eR1TRrfjBEaRA7eXyGh8Ww+2FvfsyX40W0w5H
0A9jA/1F9f3ESH1DkbhLm3ps/qQUh19qRJZ1+tv5LE2tTjNcO56OO3FbL8QQ/Dlee7Fu33uZC/Va
yw8xKvmVcT518prXav9Ucco9aGUDcb0JFhrEueqzrowsx0QvrcNoCK4CVrximIMk8EmmQZa1jENc
N3pPdc9h696GzypLr0+GVeeVBbb4hroh0KOPioMxAEO8dhRVyArlK3bWik9nStPbO8/608M8bkU7
5T6WPlifAw4njEcHtzNDMYtoU0dlvEesJtyMs5QG5KhfFC3XWFNrEWy/wiaZT/NT5w5V/UovDoMj
IlV79wYpNDXjywPqKUGOSXTH5ng0zlWxyyaVl2okoedn1WpTpnoeSRGBkp31RA+CWUZHgFxik8RZ
SswwgrLZM0T6pW9wCQc0YXTC4vLaM3+DWxFG4TPGXmLZYbi6Thyr8Lu/rkWBytPC/0EHb4KKBbkX
hjSz2h22GWar2lrNe0TQJC30Ef6SQmk3EQlcg+iiIzchZM5EfPvZyWHP7wsAN+Ggwcw7NiwTJzfp
bkOi5JZogLdB701MDAkArbnbVCy7knDUE5jnsrt3XBjU/ul6vu4iIE4Paihf6F4QpDiZIWqBbtWq
sUAuIitqXW0at71H8gUhb3cUQfxsSBO+athWulA2yRdQy8gqQpXmR9ze2xpnfYuB4u8K3/Kczqk/
2YaSiONQdRWAgCPV3Fc7NY4AA4Wi773Oiw7ExVqszKvngWwEDxeEz4F7bBI3PduToYty/r3JH2wj
Z6f6eEBCeUzk8Ngz3K9id2ZnU+LAqOMD7z+mt29iZOGhEpfG6X20D9M7HwQC/Jv9RQCa7j+bGyw+
kIAc0xOpM+SOruHdzbO6hoNrtU9wMmxeE5ooq7o0rN8uktbHgK0Rt+ru5RyVcqfb/fzpzvLrk1mI
N4APekNv/mOEmqyduEIU54Cl9miiUShITYiX2lz/B7cpiCGHhM1kUGX6B67uX2aPi9oTWL4PGkOO
lcwRpqJdOp9+KTv6hv3TvLModtg+n8d+b9NmsiX/+pyySrWDxNowN+XBgeW0K75TlrTTQhAyJbAO
9SWJo8xDQ6U23N1sDDAXTL/jykeo+zGnPOg4oLPFEsnP8PglmIyAGGrMgUQBmbH03wUYZLgGiM3W
2X2eHEFdO1A0DxjMW5kMcvN42NmhAkJ5oPdRjapGickDQ6LfJxMIH4NxRMe2gAvscDYRvXXVDXgA
BbDD39F1x5rRf3mZT//uqZ2qWnINrSfNs4cLxriTkBuVvOdEArenY6gnFitewk1ELdgSN+2KZ4ya
f/SUef0H12awDgTfoTWpr3n/4c1ZyI8ts/BPmbLV2LtsBB95mqweIPQHJL20rOjhdmoLk+bPyIZR
bTKBQoT51jJ1LRvNsGC/2mJ4wnMO2pwI6+6r1i2k5MJ0PLQxz698+amehW6IO0hbdEet0Bm0JLTT
memohLEqkdbA+bm4H1Osy45U8GdWCCjz6C919/bRo1PswrKBrRp7ePCCRzhJTQ2l8pY7EtDeClIH
I77R8inLFFNyN7/tnHRO8PNYRZYk5RZpH5N9Q6J/ttlmrhrDiSfBzY8XqjjB3PB2Dn/ypsjTJDbp
/8/T0J9xGHtk07PEeF1RIs3tRn3ElFI5nfUWl7ZWSGIdaItU90ugpHEYwi5+Ll5E960viM466GpJ
iixcqvSAPilF0DUlQsxHXnDdcAXDwBMAjJtu3LUYc0Kd1B+STWHN1Xt6qbr4VoP9MiVTkaAYRMfv
rOiJfhepH+ZlgwOTwUvoUY/faJBLKEHeP1uNrUHC8Vynt/yzOQKrkLp0/ZcGW4rRXRMFq7mkFGCh
TcvoQ+Gxp8upxcMImItiC8sCWL7Yr5uDG/JUy0/ObKEUjqSaTnfCBLUjJ+AEZEHAc4oMJiy2td20
2UB3zAmRDWJTHfNIW4FJDo2B8ajOLkb1SjDlHNPsic25fjTnajeq96vZSww6cx9Thai37W3nCbmR
8eiJn27PiFwdMYRSyIh2C2pGJCvwOEXmBaRKFktD3R+EMPVgXcElmGmYXJms8m7fb2+FM4FCkSeT
8IL42MPhbXV06iqLEA9KrcGPkiu/1t2cBIrHdmNNnBCaRP35GWhGRnQOz75Tiz0vT+I8i6BZwsvH
pqd5osqsplVUfl/DHdjwhIu1leipahGGK3bpeHt+YVKVDUA7BnZ7hdDBojyuxXTtT6TjLppDVl6z
RH6nHJC5SVH2cME63ep57O/nfQGxobOGJ43m018AJnJ927aEGqLnh7nzyeZFkZN6t810/TkmqI8a
tKN6vqgJZOYX0hfJG8wgGkDu2ft6mBdH1ydquI3tcYZnWWSpgQzNJOyvkOEzve9W7nm2lpqU8bqX
OFKbNTPa9vLwTDJVj0PmgGGhxeh+MTiDUV6BWMnaVWeuEXSxoUdULp3SZd1Kjh9BZMMppWpLUp8x
U7T8xyA0UPkO+MVZverN63sH4x5F3d+M44L6FtU7OPmNsuhbiqh4GCe12o/79Ll+/wcEVuLaJ9yA
E5vJykRmnELgvu9w5DKKEK8uWDHw/SJhObaUo5fq9OTnhyjVuyA1y7Ln3LlNM3CgW/RecO95PJQx
4E5F388SibhOPQm0eV+gp1/dQfahu767ss35bun1AH2VXptOaqxIKRzkuwxKcwHVlFGb3NwIR+do
oRpG4nAUz3Nd4V461R2hY7f5YG1WoMx16nK8q672sAVIU84aCYcs32dCG2CqBB7U5rOynbQx0DKC
9Dc8SSsUSG0HsUC4m/VNWHuEjO/n80s6PlJYimmSye38dDO1PVjcBEMSc7qeNVFtkPN+CraNVR9u
bviyDTgamwVL72Ltto9dyYwRPHzTRzTpl79MUFYKgM22j9AdbigZZHlLWu0WeUH7W3iYWmp0Vy+Q
vLA6qKVPr5qUgIcQTpRspCxpBadZhApJwHgI5lqra/2QdKKe+VY2muQQt+ld4oW24I46rspRW2cZ
Bj8RKA33WlRzAzxtfh3LvLLjWN7YkosistdkPN7nw4AwDr2x24bSpi1pXu56IuYPlY/RlVwTpsk1
q669Nx3J8gkeO+OVQcGZh/fRdpzQI2W/mtccPtA3HQF8etwg/NTDXOYXKvxWxML8t9ay3fe2qeTH
UFK/wARvHgzw6z5wgw/yDmKgEK2vffva1Kmie++dIYSGX4mgcpxJThx3a1H3vrIhuh8dCCN+dqOY
dyd4Sg8VKOniv4Cjjkpgy3flek5deZpTggwNKDZdASf5Kvz5qCFR79fylyWA+/3yh43k5BjPyBRP
gXPAA6ewte5kN4mxTGPmzgPy9u4zRo8Ue58ofOBHIEklf3WXG8sWq6JdnQzMTKHWijkYr0Uf8pLo
8mnXHHdZZ2eliH51xQXVpJJihVikuERO95dfuJukJU0RosWsKRv/v63YFMHfW6P64vJkq0SUwYql
snUDPizvuBEdh9PHpxHa62h6S+zmHcoQns6QxRUDaTU2zmdYZR6nRI4E1hrTmFStaBx+1+M7ED7x
VtiW72Iir5G7JfDDWmV7pY6PckOZlO+9PMCJSJNu7WRxR8mtO8zUG9D1utTC2wf0XA3RNSD4crS3
6hU/fdYAWRRAZgiJ9gYE0BEHOZZpIK7j4eg2y+IIpKzVR7KOAYap9waRbmTXdPkfXEuBG9adoubr
yuumK3fOsaTIr7sebfDk9verbamwJjmDU+CWhZ7iAiYkwvNzwmNAkSccPJKXuQJzsI9Vd8t8cbXD
Rg+AC/mq2jYL/c6FTTtfg+mGFmp2TOyI1G5b11hkke346kYxSCst/vN+9M8S1tipF7zITDm/B5db
cuWCEik7Q/midOOgBd4qj3eumd/cJ+IiBnDFwO4rKwQsN1qyJMrQcf366fm6HbXZ/H5AKbldvuV8
MShU6Axp8KPJF1xd/T/Ccd67oUwGOymMN334SyHr1GdVp6lQKvr8T2aJIlKZvSKIllFp45RYxxQB
JkoCt16weis5No3c0oNePSDUxd1iv6QjJxoImqFK+J+2HWikqh/L+TFfmNqC1xCwdxiSwIvp9XYg
7jaUThKggcksemI3Yi9rio2IbdmWdvhdUyqiBs6HzWTjSD4dMjywgE/BjwafLmRhndjOF3DGD2TZ
v9MkaVt7gJkxeG2PvObkAwAOBCXTNAXWyes5V4V+sPSUj5w2BsFv0K5AI1En3LkR+dxHozcE18wj
sLRgypPAyx56sEi0wuHnA1SGdvT8y3VS/uunuXg1m8/oqsdoRKTeQUDZDFE5ReALJN5AAXy3GPdn
goy3hz3Y3CIbMWtB15ggOqFI3J9RA8g8Y00YNpihXfUb8z5UIyfXInapXN7mrKb7YH4L+/6GZBIA
dydL/WCHdBUX/cebCgu+qcEnINS/SeDB9Jj/gSYp7Ew8L8ZyoNO50VdVXsWWEhdX/lEbsPnT1+tP
RCsAA3MOUyYFliZYeVhi7wWe6dBrOAiYgVV9jGgi4LFCPdqKDSM6Pvo0jrdAQcAanCc/0R8KN31Y
ovantbVrj/JyhV1fbycR6mqwP5txPB5BjF8MqO1QSj6LyYMpreAOVGYoAK3cIjh+y0eXUk+9Zoea
so8eXA5lY1qutF8AgrmINogOltvGGNbZJr6uAWb8RdLQSYjPIPdOCJy/PgJFRQNmOJT4N2O+ZKWx
hTV/GCNsEx93imJ+ANDby1upHX1XvUVE7BOttF3CVrSZYBgEBiqe4RT0icX2LMvSI8U1fV3Qgo7w
kfaA11SUPnWTETtD4PKSBsiLb1IxvnCcwNuYfYiDB9L3V+elGkjETVJa2d+KG8CGyiI7AF90iu4z
7i2e+x2W86PXcs5QFH4JrDUeDw8PWQov2jpb1Jq/GgoBE7RgC0RyMp+ykOKyoXNcirFP/w8c6ZgS
Td2gYvFL9JsFWPKMRZj6NsbqjewkrodhNqDbwMvFSy7oJLBEgw1CoJDzmpSa+EjcqKxvGQanzB2u
cqEo/nBlYFamodKlEtJsXfjAWoE22+uukHbfxhoI1DXWCsSuoIR/lIVD5Xq4WUy9MxB9TcTD6LAq
iyswZK4/D1e3C96Q8QTCCXp9ou8AwYrpjC50//BfGkI7YtoclxR0aN1Bs0V40g9TkwEkDtoZhLTL
SEhmLv14/KIfNhG9hkxxhHkTEPvhenCZyf7RX7JSQ7e4a5zZ3qXRkX/+6fGBRdFn7Dx/tmyu1/MK
CqB2Ofu6xkRbrQ9hxyHgRC0W8B9sDT8G0F/yJsE65iWBLl3NKcF9tvXFn0HJtX6Eztmvt/ylg26r
DfKCZUoY7qLX/LDNhZD6pu1H8p6gI24fj0sfNY3vavi4GRU2XzbXjaZj+Py4QRH4a2J1kSdQfCaA
8RBz2taKZMHqRGEnbYNzveVu6F50QQE0QgWmPCuzb1V1k58OvFNMmCPEXf/CuSPZ6Qqfdp9/LbOT
nbEMJmAdXEuOvoYy/MxRZ3RTjd6Wc7KWxB8JtyV0Ar/+fJkngysouXbJPxEY34nR1XxyceyPuoeh
iyROT67ZiO8uIEhlCSkBGTHZjEFV/IHaCN5/+wPLWGSlph+a+jKKCTtBS0UyNMDOLW5wuC/N9LHt
RAi23hkTCUcLIcuoPhoHRI5zoFNq8gN9IaLctpIk05S6BopeUl4W+j8lXsyuv1kZKj1pIUgx+HHq
DO9genG5bx2oFOvlqdkOXn9melrb7PzkYTiEWl2XL7wjhFwe0vG3EnhiTEWaWl0mmkgASth1s8Dh
7QyXlxG9Bcpbugzt45ezjIbUBGzRiGz3oZSNxjX3YZgOJcECj4yt+7kQz+GCSIdiwJyK1wK3j2R0
H4c23gbImNZxDEEXmHGZmABjK3ANDMbqJR/EoUWwSlmGMjIT1H124jttLte8IGc6qzYCuZojiRFD
z1o66uReL4FrH8l/AOSFOnXqjZYbykUdOlBaBrdUdUBmrLhOHWSTIaLQJhqP0ixQS/IsYZHju454
5sS5iUqKl+j1C1dzA1fihlL2UnwHVGodHuXniQFTdrLFLYlc5+9pTPyOrnebblsv/GO4AwLXqtCn
Ejhdm7vLeOKKzt9OiWAbRtJz3k+6Xlw4NyyHoWWwf/OUrcWqtj5TMFG6Mg33AjOnVemV6v9PlSk8
/NFdYqbz0iJ+KyAeOFBhmSWCS3++Gnk0eWXi6pAwxwDFswyblema2lIEJdzCz7aQzyqW03nvUtFR
7kpmbo7ITj9+DwCfXkrDxKY/Jz7ksgfcGDMxrrg8ozqalA+sTz6VWglnTpj+yYMh/+LPHQUd43wN
YCriFVwBQFtdM+aZ43NyNVGj4pJRTii1lZP4NbIevqbzLKEVC2baQI/iMxrzbRaaFe4Ibd3oe6PP
G9PiTevlAb3TA2OVh4SrdvmdKlsOtdud93M7vzWxuCcFwhCsiVbe8IQHPC8f4AP5rXEP2bEHVycQ
Kq7KJKl7lTMj5DLP6vh+mfGqMtRuya5drubbhxffLwk99iBCqCChpfrqrk3bfbVnOwg8lTBigrPf
PFuLEMEmgplKR2PhX31//Q+dAkk96tq5Md+vRh5NVp66Sy/U6Zjxy6D9+KsR4Z2GPQ70d7jx1fLY
WwKOK2w7f6g7KLn7PrU1NfV1jcEby+ydoBmgAkNzXg9DMjtJ4zS9ujNRjL/FZOo0vK7/KUnbtIMd
C1pJV4pOG9EZCg9WPdWNlyV3GR1vpIFJmI4I/Z132dIoSEJVxIyQT+MvY2xKMAZpckftSOPQchcN
T0Ts9/birCc+8FHnTqIpcz39ncjtmj2+mwcBp+kXo+GbKaSXCi435vXHSuceE7mfRDL9WbwAgKL2
lqhR7WU4oxklBLvkgCqwOzo7T8itO6Pbji5cc0oWF4PYm/cRlDY7UUV2w3XkxTAB+A5kyXzawWeR
eM7XNKtDGzJmKaltfE4QFX7Kk+mhc52c8ytz4Ucr2tL4bPmlGjJsJ4Yl2h2FJU955jfBUivBOWps
lnfZeaTq5YDTFqWL1q1fEljpkjgk5quGbV6CQ0f6KhoOeiFwrnU3K7+ALvIbzkBV8q22u4CzVWoM
6PX9sZVgP9g0v/74OslUf4o4jg6q8yMqTz5XqQEV/Gz+pdXIYOkifzAlNMK2Sq5UYM196fMR8Rgf
1U1M9x31BlG2+Vek1+APhd0bYvlNbz8FJ9bSQ0OkIk7l+2UDzsrbBlZQpiaRhvt/6l/H1Td1OJfD
TGqfjR34OY2l7tqLEckSlegKFw4h2f5fs4DKcjraRABqAqGpy5VVJ8/Rty7Y/Asa9pn7Ex5IZFwe
jfENYWxiWyXz6MdPiwOY7P5azJa5dqDXJSK9OfU8EP2x3CWcnrbKluH5DSfxR2LQV7mjgZ4U/rv2
vUVKi+CzQ+Y8GJBsUNiYAOKFEhNv45yy7EzgowbRxoe63jnu98DoLU0Wnjj4op68xV59UKrF26Uo
2j4CqyQhfA5eYK8HiMBiIp6yMRhxeHBGh1hG4K3xrGz7Znm1d5Oh7FbTTxZrS/53V4CYNMjeO72K
arIUTG0eWAKqS/eYF2W/EqZ4OpEJmjh8VGFA8yhWvcpjEHxT51kkGp0M/fseMokdHuBEBYZdCG77
qvXIQlHy6pEKrQ5pdZjeqo1B1iVLdJJuVOaX7GYUy9gsq7n/j1kV9jY8iqB1mxADgn2mIamPEr31
WoVywMrlZWghBxERM6kPKIONMrJ6aL3enJPP7SqOk83xALEzfffBVWbstoRH+DsOVCn+Dzs+aJxF
nh12iHpQNLkmdqJNGl/0Juo/FP9GA+69bHbPY3z/XGuHk/9zGpQa0GfQMx/xUbi+PbnZsfaBjsk/
UrgTTeiasUEpNQyKPCgaC0N0Ti7WE6tscauTbd8sYbWO1NzbvSR6MEIN70TZHNXg+x9xs/96CTHX
Txkv24MsX3BlsN5pBy6BSDaKvzlATmc1aosgZ+oFYkYdaPNZMC9QtmqxadDfCaQOU/EfhIs1XAOw
cSf4ewQW8f32jnbFXiFHrtg/twUpUulokgMsAn10mBjWXEQKvszrlMSPdyybLPGDn2N5cbtB5Hd+
fQXTqjkS1UWPR5q2ulRvaU/22nB6hQDWXQAHiHurqU5RG/R0XgHq9OfNSIb9oHG+JQ9zOyd3uZN1
eaLLxHzQY+Xk+Wus+P/XtdIc2766eoqW49aLEY/0c0Hlsxx5+ECdVNp3C3I3GdnviwjzNiNlxzoL
jVwqSWS+axWngMOaGOYt+6aJpqdlKgBzEd24Hk8wN6SjrvTBqTHTmo1H7kS4mN0QNNglti4z+I0c
vHn/xQppQdhd6gAEVP2gKMKEkpNW9dXB+mi+yyfuDpanY8REg9y1NIjcQ1lmGW9glUshMTQ2tJhY
TRLmFr2R0zw8ZCju83/1Y7rshATqOiTCvsPDllLQnqlQX95CYMavmmfSl0Rb2Y4zN1Js5TmT+wOL
JWizMz0WvBlN8r0GR7O4afQJj+/DtlGZ/Iski5lQXDftxs0aeKXF9s62PiR/Tc4ZDlMKIYtk0Tz4
z48C9dx7Kuv/OX7j7Qi3zicFj9QwUh19ZE7SNRj9Aj+3ZMFxb9nOODrNeIPeppHwX1GwqUT/Gt8J
VYJVaUf3vwTPHHVDrP2cWKHUvOgAaOjYXQ69J3ZzF/rVAwjwkKkTQHQIXRjv+OvhZU8nGAnYCnnR
D+aqxBB1fnpCQU86smXNkaQ59dNyjLRgiQXwe5Pxqc4e4E6djfuNpuE1eLXn+Cv/DrWi6EFYjKyJ
AqOY4GWhDaBGuFTpCEQDj90/2Q9X5gCT77dav9fv4HWxepwKxK51U1uQpny7cIczl1ldJO0mxALC
5G2DX9telQCPpQmkdDZnmEapBwcfH/RyCJbLlu2UwjPqeplP+kVwzJUVh2YOApEB/SFKtXVmqALV
K3SruB2cdm/dv8BsCbp/7nC+vPVuFUv3OnnUvrt2ONPlYlcCOr3SIjxLmNn1R81AzZeof2ZJZj+A
AXi4ugszJNwXS7v70i7hLvFacbD/Cj7FGQ8AMfCH+zMOvtPg4uL/YTmKXFV6TDKGfw2/IBb+BAVp
yJRfFtcp28V2dOxwuUayiRqkRIV0B0JdlA3KNQR9LrRKSgOnlm48pIA5MTSQ459/+pYvDrr5Cfs8
blOENIGe9n+kOzjYNjWeu3YfKVKNCa2nhfsXX4SbdzC/+9IxwKNgEsLljsBcUNEtCpqkBwPsrnYw
nigbUOuhao8a0ahVOsceK43Evg36G3N/z6cQDEVkel4QjYot0YC2WZqQznfHZOQNVDfm6y3HXP9q
etf0B2aLlRW+vkIT5tcYlWpqk5biZFFhTPSN8iVxOW7Ihb+/phRrsaC6Cbc/X7CEJTfX8t2ziMWz
4vThxLM5+6cgDpXzbZqeHO1XEFQ6k5O65lK3LgkiVj9dpvUTU8zhK0iwjCQhT8BClcE6IXNKmBxZ
f9HHEwjI03Za8ouLc8wDh9GYw8VgqVBAMhm3tvdb2WVv3KzwODQHEzViyhxk9R5kT6goqjj71Six
W6XfPyOWsiWXiIcyy+Q9jN/aKF0EpabJxOkB70aw7ge2w8IfaPRU+tlYXjUN2LwIl33fK+Am+GWj
/NFvJxqQ+NPaU/TfhmPu2FexlRDF6JcvqBn+fOIkhZsS6YHxDACH9L1ePm/Qi+QWUicVVwm3GAlQ
45eh3SNjgsv8L/9O7jHfNJeGOvZhWG2qtrWRSRs9NRLx9WalbUn3qzD556YqBdS7eyqox2AZlM6g
i5hNvv8hyJLOVNcjRUBMWkUjrFTJQg5YcievjA5d4/MkwBqhWa/MiLBabDcgewHOvSA6nhxNrtRT
s5mURZfsjezSrwT2hyLeL38bDDDFiRIN1Fep4eMjgLbVvw4A4PLwYOjYOizbkXYJK8xmAWI02XCk
hfKPTmC0Y0g1p4i5F+4fvAzZQ1QhaSB5p2M9xVNZ+gsR47cszIRPUxbdkfoqWjVj8zqi3KnrsHcS
fJpsb3fQSfKoV5Ds1lX9l5hx4d/89nycE/zUko6kiN0bBEHfhLng4KnmaV2IrDI5bz3rnf8OcbQc
5N+2iPuUaeh8Q4elyGaYE529NGBLAVH/eO/wBf3bK2XXr3IgZ87cUOLSVD1tT9qDm+znn/3+GqGz
Zo9jhisCV9mW4pG/Xs288NC8Ssv0cTYbg6yhTkSt3J/6dw7RrcUqcMiqaGtH+Hlgl/Tmt5bztxx0
JdnDHLpwnr8w/KdAhasFJaCUCIZVEVS4dcouOOmsVM+qQUfufB9PwzfgOhrDVE1bdviA2ASGDEK6
NysCyTOfX8anaNvB3g7X+umvRKUW++j1cBVERlqNCb88SPxX+5PSqMtetvVRs0VWXQ5Uq3M8YxHb
h1uze8M2sElrHNoduhdWThjCdOOzzc4nycfQMddXzRD2dN1FOz1APWeg12Cwici1DfYApkQNamyY
5krSaJOBqeOmYbokPRPIQWj720L6WUEn0UJLpsaYSTrvnEK++MiLSy8gd0sIdL/07ulW+GwVY0k+
rB5RtVyd6n0pLabvYoSRNDdvkDKMOXzfb9Excc+K+NrOBxN6W9fLcBOooMGuhRnJgGs2lJkPI+Z+
ethhcmwLtvysqQVv5+/OIhNfiWXB7tnCC9GfLmefiIoBiJS1YeX0sYbBPLMCyHoq4BkmFFd0HkO/
ivFNuR2Aavh+gb/4HwyUp1bALhV15erujwYp0TAE7o4Oc9RER41uSov6tDzJ1h/q67x4N8L9HROE
huS4xBK08PbHXuH+EaP6oiwO0KzVL9tDogrXsfz5+U/D561A+lTLUU7z3K90X0A2BzJPzgSv34VK
tA1Eu10AkofkAD7tRwTWqU0W7zxyL90UMvaHB2Ddbn/Nhn2wF+8e+oVcIDLIQOXB7e26cOvFUnPM
rbQs2FfzUXNVsDsUzn36xXVaACtMhJx3rF9XZXvl4gZmRy3PjdK8EsoFmtmdjNaLuIONawQmUP/L
9ZIyw2xtf6Fp8BtvERZFzkFjgCtAg0NrPqRINXGWELwMARX2p1zLWdM7IRRoWiZ2UUVJFRYmdLDN
GdtXFNtO2eGpo9Atj2cihLf3BhI1CCYaqHklXdfJJeJPYEah3yHlqIVEOSJNXTK4zMMRKb13GXbD
/ZLnkWLhWYO3ZxLaoaDFgdEM+uZDRHJvsr/V8X2/iuoOddA7T/RWjNkVLtJQSC8MbS9G4NV9osoL
oArK1DADqj4AZFieH4bRjSNhnCdXLVw8emfb92aSnl3fPgMO1iE4OJOHriYMgWOI+Wx/wLHNbaTd
ytdyj4skQBSv3aoqpirIynEqaJiAVkPPwjT9w/KpQbdUvXaYhu/93436UZfOgOU8sUKXeVVJFoa2
kN6cD7xJCh3vuX6ZR+HGT1KXqQsvL1MDiXwBXrHasGaPBdrJyLQlHaOCVjBnq2oSIEEjCWjf9kxK
vDkZe4dvnJElVipCXZ2YGfZU8XQRysR83fPfcnQFoU33OrwZdliaHVHw+UBcIaCMmFfoW8TQ4dA3
zBkJXbsJSn2QQU8B4dBzvWkHeisW/OKch8ftrz2D8F0/b5lR5R7Kqa8SidHm040tQ0xldAi0VntE
H1gyYtMiGQVWVKdjGTvl9XoTO5wTxAwYkcjFFhu5W1FTzwTnvFCfEExtKETbOxKc6kHECXeVzqIr
XJzV/d6zVNrNKpMBBI3ZPv1HXPDM9PyN/RGYrggNus2ShowdR2qKYReHc2pVrNDdtsz6CerxVcDz
dsWmZhi6h/X/nYDUR0wXJs7yLoR5bGxISzEQSyRBcVaMc/ETzEjMbjwOyP/bvBBRT7eBbu1Jdp8E
5x9D+Q0V8NuNP8IW7Zcqq9PU/groQwJPPbDDFtjeDmi9RKBvnLp2eQnvK27e2wc4H3o2RhEu3S5T
o837WJC3Fc8uXme3iK6hwFGLdfm8Vh2zUzSJa2+tUtDT5hXmDuYKl+ls43UVJWww/ZrDWCez2yE/
D75HqmwZ/guwSrHxNt7um3ppgpuvU0IG8krBL7ulEkFYZf3kYqASFsJ92Q1yToluaCYhh/+/DsZ/
sO4LyCoYHeR2itMkZP/Oyz82b4++4spRPfdWuJxJ5QckJhI/DLnENWmJxvNRbG1mhS51zGpVN/e0
HIulWWqTLpwhST9MZm72wR4uF9PRXV4A2kAB2q2vED265FHATdpaeAfznrw/x8AsikLGNUTjSCNH
K++v6bpxL4RCgHf9x+OgTGPTqleAqGF3lN3xHt1kGTDGKLzg/gj0doSZOfH7LhDy9H7879hb6lmP
zA4coDmiPEXmm90QGKzbui9RuX5g8djLoDLYtgURR+Qc+gN3WjEcvgb9V1/PLSn1UidFgsrgMVGM
t4y7NaQeT3fhDoj2W2fvvcuQ2MC50jrFQLbrCEbJjvkyvg8JTu99Svoj4YfcQtT1/QafmNB1cOol
KpdGfEccwUAvuL457sP0xSEmP76F+ZtlsOmf3d7dUNKJsx53pqKkUxnJZZITj4FH9nCtZ+2POT5f
I5+na5UoN24M1TBM/g5fK57pCeRAVF+Loi/60tDp9sEPIKCTd0WJTDz59sq6mdFCqBhWYjneJKgE
NeTsFt/VnzE+REU6GSuY2cV6/koU92Tl1a5fOZgqg06J+YYEOsqAV9ljqH9ovjM7GuvRjPWbJ0lJ
UIBQuqPYlMRgPz6XTAovhv7ZPYtYlFo2yUAE4EyB02pMrupgr6mN5Dx6adFwIW12Sp82EbJcvHNN
8daRwbM13qV1ZmFxIxhr/M0zdvRCA28TjCAkyftmGqOTGfLJwzgn5as1qqti6i/9qaHO5FYfvUz4
e0Ihaeb9orsrINxPzBmSYxv67mjs/xEI1JTJMyY8wlm9pxVFlcXYUPS92Tw5S5BwDa1pzU9X8FZY
zvorOqo5wVq5N0TjPM0o0vynkwc7RNawVq2zsVP0EV/VBLeIkq22NutD+iN+JV6SP8HPk9RhZGGK
/7wqj6irhAM92fIQvfEy+frLDzYM8x0Bp/zwupZIDc+poX2OXYSBB7rpvtlLJDPv8gWebEMQOBDZ
y7pkcRetwr5y7CUHNqxgHTxR66sChbog/JSa6+AgTY4N8ly6/m9ZiHyVak77+IyP7JuJ2dWDAOZ9
O6DGiPn7523mKuC4u3qVxKnigfoQfRsGGCZaRFaLzHJwNA2OvpU6H9vOuAsm+ZM+pNBHAVxktrKH
2LdelGRaYMgQMCuMCCKfZFhbn1yrIBxZXJAkcmFUIX2R6/Fg0TbbE/4C1VN3lQk6KjGTLU4HsJuP
SzchI9A2svoKDMF6Y0GSXNDa1Zlo9OVDZuJBn2JPHA1iAc0yvuqb1qDIEXl2FHbIw5jVVkxbEbnN
dtql2rM4m0K5+MYzrJcwvk4nqWZpK4U5ETJubVz8E/daO8WwhsleoanQBbqg8J9sRXpsq2n0sMkX
Gp8iN5TFmzJGqilUZFgr7VAw3uhaFqscSiYFfE51ZRux5mD3thSyERMb6qdoLO7kBW/WXXJLCWhW
cT4/7Axzr+MZv+zrlqeQQ+ccGbR3uXSqg82REBgDwqt5SnwubGuA1jyJTAHcDTZ2DK0ZhHRNndLe
0yS2fo4zjxFAzmpZ4xtofPObqsqpryVEOE73hangm9VKmcdslFn+Ufdvj54fuqplDDegHVY5FxDk
3AdfxDXAMGBPR5Cs6OsbIsf++zjQvcEuTZ+caUHcoEhELrJj5bEIgW4Mog8i1zq3ZyL2AhC93ekf
W9/3r7iL55S5g2ebiEKk91D8VGuzGoYy349y7B0jo8Xpv+kzuwAjM9l79DTzfDaJLyZyq+h9nYJ1
sGNIkQ1rG3Xct6lXd2SKSK94PF/V4xvr9uMchgJ4j7EqFaqXH1tUNt9Zz+T91exmkRyTmrE1Ud92
UpAn3bRgcqhgd3LEgJflh3ssFTqi6YJ9ZPM2FCuK1c5n38arX6kxXU8or3xjvx2woEdzyVvnfpyp
jjWqF9Ua5WLMIz8DoYfjKpqQUxL0bOHb+mftthqhGE2a5EVWzyV50AcTezWdLnRHpDeo65Hj3507
5s61S+TvMLTQMb6U8AgiBI8bSHlhA0tkv0SrYIedosBIwbk/r9+juz+BHAthijab1liwa9/vuOsn
+r+QRmfmezBFZB2cExkwA6ilakh2hWmT8MZcbdQ4WmItSnE3/IX1KlJtVoXzXomkd1V6BCwHyG1d
8j23IpJUNbjD7BFWU+mMHKG0S0InY6jIy5wZtByTVAX6jlC2PweB7dQc+Uju/rubZBMSzya60YKU
43Je0xa/qzS2Gn0bAPAMXTxYXVpljmcjM5+XrUgsgGQtgZ0nX4MB5CCQvGBZ34lyMmpYOZBymblB
CBRk497vYllpUQVwfpk61OqPhef7v5mxUtl8KRl+e+xASu55BQ8qF8bCHMfLU0FsSnYlfr5p9ZNx
xMo1nk9nrT81ZoDiCzFlAeYANnj1tiXV//f42EDd3hm1zLrw89LdT/bzAQQPNHt/jsvoWRjXaMbB
R5xQ7Mm9DjkoxDDR/HvnWM1RS10QMcQHKDJ7R4PDs6klQ9lV6cgl5KTSDDAEGNAlyqnbMnCDrXi/
98Ep4BQr5XoqYp8hvMQIbAMXuoy6PtMDlzcHPLg3JmgHxGPvZen+0leDOn7p3zn82ANLBIs0d7nx
ZxJB8iLLgMp29vWY73xIx0MjyDs7iKet9zpzIDMRFFRoTEyxwohzeRC5C8vJVsW2WFtqk4c7stHX
PR7t6jLNARRtaotbtKeVhBG2ElWSf1h7tb9izPl7lruxqz7xxm6LE+TXkwa9v5v8I4K7vL/G26ry
qiUDzqeuWTUQGS9wudlPIzv5xPLSwPCrJF0gizFtKDxN01A+i1eQkZy3yFoi51Ykl09DX1wSH3nL
mTL4MFXROlreGRCUzKZriTkvWChI3dBn29WJgfOqekEUrcA8xZXvrIHwhREy94YGa9gluz/BrOMS
FTc6IeHmxCu85B+MOado7oz+Uk4T/EAOJ+3/+GcnYMc8Uu37mT65lGniJOa7h/Y5NaRFrqx7Sc7d
j/7k8piQZScyXHjnsxkBxte29yFPFy5bbJWpW6b4LfVma2WWo8K3Waf4xOKEWt1aoBnrna67qi0l
5X7Y1L48oNXKFOwSXDHQu/FovN0mvsV2O957i8lgCx/9gyEEvAjdUvGQV3sRINsDopd0A5BuQJ9/
nS43BFlaB1aqSSsTbJXyAIAb8wukQthlYWID86m4RRd01ZMc7f0v4GVVXeHSnz7ACsUxM7D+Af8q
7H19BjcKsgImZf05vDlKKxnUYDsONL+rDuaQ0jlWCbZnPEAQs6n0JhL8NN+tghiSojizPbjD6CLp
1K2QvR3i4kSI8aFlZN0YHDWegTR30CMnEaesjzCrA1SBa9nRlpA6iYlg3/RrPbqoJ7eYllMEVYqA
8bEJcE9F1Hut8CaKW6iSdKt30dLi0tJ3eqQoZJzbkrlaoVZUvl59tCLpKkqlW+MRoG/BdLkBjEUp
ymhnuJbaJRdUlP0z1VxTjCuszhGi7gNVhege+UQToChkNtqPuJX7qLlQo9ycXI9BMRLZwM8T3iob
/4oD0Sxnt4gBhAG/3naCszjD29UVE5WPeUeIVlsktNKMvFOfEfLF0qYBuxbTQn3deyKRvnWwVQcq
RLqRp+vYXOoJJFMVKn6Ii88hK21X1/tNbhVTlDhBdeA7+TvKESNzy+W1tPYaTpieDNfFW1Z/GmFi
/9+Q1SVEz9ril75vpN2BFZetMsX8huov38WUEWPflL6ZWUi38JKsqLVawH0jrLT3lono8ZisuzEe
6d3jydopmqyE83bPhyR2uT4dBhCKbdov5M7sg1QjnIcUBmY4jX0k4siSd16hB0X+NzXbsUlKENvJ
ycabyVfDYI1K/ha2Qzu/pyhCqOY2V7WIE+FYz9guoZUk1ge38quWmkzXSPBS/NSEwFS5b6IIg4Wu
6pdUYW8MH30b+QTvXe1MpyaO8JqG+u1SLc9c2N/CYF+5YbtCpqpNcBo12ugHQXx4WjJoPDddY+E9
FUY1LlWT+vM9yFVtSNLpaVteS7rCa5Ia25ax5iDHodDQz6pbMAP/O8kmhbQMTVifVJKdBU/xPzUT
Oi4pw6Tx24bShHG3/Qy+6kSH12I9qiYHDi6Sj/sts3Xiba+aIta0doEiP0pdKqcCXPPKfA0au9FC
jgNjBj33mMKGAYoxw3B3gx25TndCbX4G4lLTL1KTS8SCurETbS50Gk9jA2ctaiaTuVk4rIoWJN16
fojC2yzXzwcXRTRrXFgKHA1b4H+PMUx4/fPqzdzkVmE940mOASZdn1+U1xnt8mhODxOessGmCb1U
EPSNoDjSiR+TZIHaRtxSd7mU/88vmzsFsFoP2L+ZbYe5kGZqA/mIGuq8GHIuMIILtHsE6N8bOhBU
KNnh8PA40lwMcX8Zm2DeYynPbjyqwhcok5R3ElgvBLYOtZwl9OWKSAUkeuXonaIv+zg6O6Ca7zRI
45HBMg5+Cm7FAZka8x/aTsB4BMcezgWJ5uKpm5T/bQRR0MvJvlgSIMKJBKT4Epkaax9smupI199f
Wlw9WV6JqksoejWfRk9L7FBWsNvUjrHwiL1c2UHChp1LxVHRKi/YrG6Eg3sKv/RqQeCrpKG1uLLT
5NmdC3YHFrW/Yq/9bPkJxRu8VfHRxprxSsUk+2hZvS7yWgyKs1K6mTsq/ePfPmXURJn3zhyeeRmz
YY04dA4xYGAdpRTMmZyHoLtoTOcKeoGNZBGrE1WSdqYgF0ouN7PSMFRFGv6VabMmvVKsVFFNTjp6
B+9BwKBNIdsq3tQgB/4aR6J38n8NOHTNrmnf8cn4l723aE67+ykatElTA3uiEhRIwgmyG1Bakn9X
blA3LRwbgx75buXLOCyeMQnTo6OqSpWRXoQSeJ8+V4Aokb3NLNtZozfZvPACbknF/kdX7N9xjL0C
d9dFAf8FXj7PQbV++aryEhktr2X8IcdB+avzoNcERS48QHvUJlGFZxv8oJr5U3o3wj7ZhuYgpu8z
2oBZHO4193bH5596kNCRbrl9mbbuT+s+zjjh68VuZpvKL0TrJMd+1vpj6KxhQaDKxwCAzc/tGWOO
2ucXKnPM7dQ2Q5pPpwxY+oiohxWi8eUN8ml5lSHroAcCiFukdg+9AWTTZrF0NYbFnHy2I+Njq6SR
hjeqPwkJ/L0mjGx3dRElvU+LsES/WU27vbClDPcdIARwplwVLFicbsdoeUeFlFgLVl39cV6tEYmo
csL82ClSvSg27RyxTm6mdtJzJZTf6Q4dhapxwbgB0FUkg4fHvruwSl8OWrbQq9QNbSegHEsgZY0u
beG188LmtiAdlNKIAkhXvjpnxcT6cC72EZodv4A6UNqC5Z/zM4+IuZAmlkbp0+aFJ2rGXFDIrTU/
fw/MjS5DA0V49UYhhIShYZrJ7nQYyhgVTqmtXxGBOsX9ne2Yp/nll9o9z5CDFRHEQZ0YWEle4tvT
Oeedofu1wfAmrmfNpOCP+ZsepBTsoGjcsYFy50P/D3MDPKiehixQiDD19Jd2AEuRpgJPFe7mBq9H
8CSXEQa8CcuBP+2O+FHZqdLnEJAgLo6ZJdne9qUy7vlLGB0GS1P70zl+DJVhuoH7LQlLgbj/90d4
mSrT9ne+9yFFi4QmGUvYe8TM7pimL8D48Y6yR787nxPQ01omNwO0NcV+kWIZmBCpoEDcGi/yL0uI
cAsdmNMdj/n+BOkFCt4ogJvKgOZU3/W8MUlPDcIdrNz1GPltpIAq1fckjTbec/1pmaAo2VLLc6TO
vrrajnt/qOcwQfDSMmWrQZEnDfWKl8n/yxlZkjhQ8rM7Ydv0pE5HTHNxFcPUjIInC9M+3ompsJ6i
7OQnzrn1URWx63kZpmcQU6vXuFlT8gvnu7laPt17CQUnDdSaBcE3LWvqs5s1MtDiuUNUBICcqxzk
vVKEdp8voRF1o288XLzpY28O5sVEg2cTvR+EhyGQHWmQ/AMrrJLosU441NuPCGMbehDkMafuvE8Y
FMGEwHaSC0JMUWiTHc+hn7OdiAHNTSgdqWpce//WM3whEZbB5R1+fpFqc6pITC2kDJ5guz2Ce86h
gQD3Nd6USp4xYBVWuJrhyUSGpI9OcAqYeQjY8nEPnYzmOZLL/Dp3wuwTzd9u8H8eINVJLM30V2jb
laHhw0/NZRROltTX4asnJXA2XU648CKs/g8pLAGLynRVfpd++Pu3F8xR/8jlIl6d4eBsghd2WViH
EROtuo6YaiH5LJfTSMEfqe0RGCQ/I+UQfW9gvHPVBysSR1nh/S7giuhM0zYMxiL6X44uA+XwJpX5
RcdVcrLLJInWDfJRClrJdMJOU+BcTwf3s3fnji1VXk3ioaYwsPiW7ixnoBEh0nO/ijQSJF9Gf8fn
cutpYRpw2Opaz1BsgAfRW4Bz3m+3D6Xk5LphDfqdRUfPHz7/gZu6x+9xGGGpMAfPk9LMLKk/8zn3
l1OqqBDA6YS0HI7LNZ43fZ0cd5lgAFsGa+aqCUBNuNmH8+HxNGKOCloYNKYa2x58yPa2FtitBuzk
ef7+kP5EoPpoS9D7BxivtZWqgd8azPDCWRiaqb/zWN+5HK/D3omzCA6llzOc8ZShaRl7Q0+b04z6
8dpcaBG+51sF7qJuHPQdbezbBs9ZimoO7aJgrR7BFiBHhjqHCToeCBkkbu8x1Qv4/C+qsjvCbfBU
yaYJj8bstUmHsO2hmpFj0YIUJGfWgDg6Q8CcdOIwY57/GPaEcOlqRd25jSmUAMBeBJnNpwFczNXJ
TDjasrBMd/a/15K0G7ieRo9VxAAJ71sMaUtu5OyKXoKwM6Qm/4sg3h7tx99vnjHD2wLzNwK3QfZ8
+27MaV9TWkajTaD4e+6ZVJuG5SfUnBcIR4Li9UY0VE9QZkmZwtIqFAhA0eAOjmz3Kd1hErSPZXsm
n6tInmuGvvmerYPc62+nC/fHu4oKlV+jF+pLfwUgfl0UvJwkuKub8W45iFbCQNJwRlVTA9oYBU0X
egv3ytwStd9ECBirwvODUNsNgrKdV9LwZYGJB+OQSoqWjZg/fgjAImROKJHUqkzdyp+8vW3FUW0k
lUggsBXgw9cr0n56uPSZUMk/+pn1sRAzoAjrRIsBfahueFvX8GIi/DabBB+d1silEBqzF1SgoRAv
BlgaR+Rx0GwgSdhYfdDTV40tMqWBe8FvOdD9RlF68Izx3QYZS3VP7AwDmUe+8ReBQE7D7gOL2DnL
NMgV26Ijz4PhbBPEp3W6wD+bG4ahrlpK4qJmFnuDUsoCGNrgAQIeDr7Rsr79TZlfFKQ7+avTQewI
BqTKR2RWfkSatk1v9BB7GuFWkoB6dke0hAqZP9heHxZnVt0KgFFjqv0/6P2qx3GiYKmB9LqTAq9v
g6dkE45BbfpYo1hKIb/zacPvf9ggXJGCIL55wKIxcCp96bbh4ddE20PSkmh8a8zS+nBe45KgpX8M
dNAJzPI/KAJGzwP/dlLp0H7zefWMOZ4tYwLofzG8jJE3J5nRGKAbEvU+80bYATBqoIBQNEtrkscp
sdDfznWvvRHVqubLL9tWOI7xgtS27j/1Z4svKnOKPKBGxm+C3Z51Vj4Nq5Nj9vXvY1vgRZm8eYDc
sY8EcuZE1X5TzdFPRfyX5ycW3ZevORTn3tuUoiZfgaLFMqYT/7SBZDvtBlNZ1BR//TjJI/7Yy5K4
P+VwOSeYRZvgTQrL8J/8xknKZJbm76xJq3ynP3+lcmRe4U0Lp8KJiN1QmSQahpC5o1pI0R+i2U1h
sUGnnfvmhLwLQuQkwht+CW84A4sMYMlCp7iovYePGsHtLUErH/UNkzS1vAdPYD7J07yz0MDcSCI0
BQEnKTBfgAsGX/9on0RzZ7s6TdaSTVEOuAFPgWqCd3x9krSKdzMi37wG0LAaydjMPJnQTHILlhN/
mcUpkx79OCiNfK2mmBiwsqDWRvwipY+BzcaNLVBWxpTeRO/ZcqStdKJQxs99uZAvUUB2adWfOFzV
+WAq5jJA6h3CyFP2mIiSknsZIcm8KnfNzRBzvXeQgjpZSrkWJq+Etbwk/HjpqT8Ujy6ssfYfyXjC
JKpiETShbzxZnYld65mEtis83J9vGDqyHkISHBV61HNn49HCPNLK586lJsPcX5IZFWFgyOFQyQb2
rowF4ZBipFhNcPOcAHObHKHTWyw1lmC0emCO/X/Iziu7SDU30nLn3hrJCqOnctHwjN3mL4NgW/r+
MsjGnq2D8rw4loP9xNkt1NdoSE/VTUKtK2TixOmfURvcq3ttkDWQ20/7gOHle59KuduhVNfb9mSI
Kmi89sLMwZ22HY7TgcusdW9Zm4Zebpw1nbWdiEBPOhBQgefbb57MyFK6FtViJrFXS9SMPgoLQb+Z
q0PAJ1AlzSWQMHiViWu+dpYOIMR/sHRPsC4GaU90xo7fjPLsMYFrc2gOPctpeldT8J6lieYGi+IW
xkySmNDGXxINln5cZNXsp2sN7UOi0oyppsLqHWoT7BAoqjA6aHKZYVEMbn3z7yCj8exO7dvnhbgN
kj+75ognLBlQwyZc26bTg/+OzqPEQ6dWLbV0Te0Ov4cyM1uCGL0eEcoi9jyYAWXHt0ht4oEyne+z
lDhxyc4Yn+Xpvdd5uNLIQQ5OIS5LGxiU3UC0zFC9f3+sEGruXyQggriCsS5fg7wD4h9CwlK7povR
FJKlMVH9bIQWNvto/+zZDIcZIuufHvjJPyYiioiBeFkKcoTOSLYaMbIIvn6CBnSdbo+nUdqw5U7x
xfje+GVxnJUx4kvYFktQsTqkZECB69UUKFrdfPccyz5Cs2ufGmIZ2G+IFBCN/rkrsdWDydOv15a/
eqP2SRiPURCED5Stngsua6Ty4wh7ya92ez3e0e/ZZ5mEjaD03kQ3Hf8ueHVw6LmxHO+fpnZT7YhP
W084obW/EBEPmpuXyVtqMMhF7enBnFYDF+ufafC2ccaGf/3kGkQd93NUoDc5OuIyY4NTGAa7TSmw
AEgBQHxr7+TrYQh0gfCpUrpiMcpbvrOm6xTjUuGNjs4IVU2wNUMCylIZW/G12qR1nMIi0MRf2VAz
h2fc6Bo8nX1INYuFKqXz2A3KT2NOgftMXTxd5TlmSH1Y/8WWHOqqYRrZ6rB4xBipzpni/iexj0se
JXdq3T3JSFAljxs6Nx3hCUKuvDfi0MBgV6PHzArYnA8ieHacFNcYkgVO6SL/IItc+2d5jFvmbOFg
X1ptbORGk7nL/bf8jwrTDRMxKqHXIQVq/EPHh9jQUa+5SYcJX1ymrl5z6JzHkkRAoYy7VLpR+UPz
cW6IMSeIcx0yi+GLqoeD79sYupVhioNSnrX28q9dDm83CzB7XZlST8RlQOnVtmf7G5/9WmhEu6uv
xDvehhtTWFOtsuDiuar611SYpml0skUYmuR0Q6SWXqFVuKxjggLSqFHfBbw1Ua1znQWA2fOPim6r
lNwU1g9/1ye+n/xN/5EX+gFVqabOXcl95kfl6FaxBbwDBduR5LTS9PDypm5CoorDhdD/8nERqxfO
KxFqxJKuOXCL4T0D1CDVhvpnA89q0FHlffhv8ikDkgJD83o6QaTM20YpF4LMhPk6j9tyErJYoUpg
Ut0KwMiFp7o8HbbrXiWTrED+iiq5Lu8ojzgV8g0GW032PINbctYBXfBtF6KN2IDFazoTuB+U5vSc
lSi2xWEe7RRlFX6/zAMvkycV5YFoadFoWXcCXJptwdLRGhn90nXEwjgfnY0A6COEjFkvj8I70xwy
gQjCmFy0EG+MvXCvXyBAWE3X+vazKodsza84t5pXG9H2vRp0aY+KfN9DsgVNWuTqa9ldx0AB2HiI
mh5Tr3wp+quxCF66C5BEzT3AEUSijK7gkc+5IloZoerxSfTCCXG9S8RTA41xNKWeEztsLPT+rZJ+
xGk1NCaan505EL78Z1ULieHJ9nO+3539Vi8O7V6YAkBCtlKoVJMuS8zSswa0oCkymSXyLbUBzT9f
/AWig6OUG6oGKxK60IMdRWcgfL09nhvwoVgRYRWxh2X30gsSvKPKZdeKT7rQ4GANIDfp9vzhN3qy
/MCW7Gj8636uJDCBrYTHfA9Nx+BjMKnyQ+HwUetk1HI9kFL+HXyelJyCU+YKuk9gSjvCyYqOdMpD
u9eb58UWTYpHUiaGGoxJyOQuU0gPRtlr6zfu2jp0vNuCS8MNKbR0atix2NdnqRtqR9FQIKLbyU3M
DmlfTbuQRKqDSLv6SUhp4784nP2t+idp9RQpu7GSQdo345tnt0++N2/04wRot1Ez8/dEr1UGOaNa
inAjwqQ2yf9pxJv2glZqVpua03Vrvqh4xO4IPOsRBqF5Oas5BgWSChwNmPGGf2mIm3QkQGN/g4aF
bfX8kM+B9JMkcOPpQUBTl7b+NKYKh/HldMyE/wQpFFkMEG27XVPlCYt8WQeRchnpPmNKBp/2j52L
2aI4HhZ8V7XCsR0kyuDXFhCqi0nIUzDWMLb48WA6KgMUaeb/0QJNCpv3YPb1+7iYaMG6aX3u5akY
k1j3AagWOggpPfXXVQkDWMlTbvKL1/u1AQ9hMix2fLnFb4VXP8Z1RLnEjcThM/Gc6/lUvfP8TsqN
DKXfZD9BA4kd8Lf7ez6RLcdRCIzs+ABfSspdCiT43neukfDRriMVj91VmIuMNMVSQ5rhPxgHhL45
+4ZC2GKXD6iy1OF608vmey3+/2+iWP7FAlkSQU1wBqO+YAtW1qLb5vZOOXCpYiVVURbYeVxRdnjQ
jiPErsyL6EEDbNoXaJVoP9qLi5g3bR5F3u5sUso7Gooz86Y/DzMmjqEJvyPKAPi5//iWbdfJkHUP
GM6vPuy3zDoR0Jf7mm6KcBF/yoBrbZkqhRs1At9/uGqIubJeMTOMjhHQTh3EoIZwCP7J5ZHZRmKk
67j6PuN8ZdBgvwSksYG0Re0L3FoLhi2oghHZjVTQTcV2jHf2ECHRyfp7A1O9uxGO5HoX44G6mzCh
6bS1hN+OSTiVBEU9GWxhJhxBSMC3YrXBF3IuktAGmsB6Sfr5yEg/UV+fcIdebHvxNEZ9IvDQe4UC
8TprBV1BKw6zIegrXR5QjUjm2H9KL5TCmgBVOKXmVrhXRV+6FdLxXTPslAadRurorAgK6tOeoAT/
Li1/i04rYbl5oK4MxNTZwYhkNBDB3Y5ZAIjUTbjdwRU+eg8PRXToN4rwtm2nQpcVoAqpqMQ9P7xf
XgaOy3D92pSsrwRBOI/MRoXLjFMNJDzRg0ZxKAbwMOPxdhGbJ0sjmT8gd8vw4x4KepDf81FOmZwe
WCv9mgIyVZ6bOIHYYJf+HS2J/6VPggBosG4XLGpVBcRHVC5A3lWb6QB9n2OacxHn56xblld0bL0q
13mB25dSbrNrJmMW/n1iubWzoZ3Tr0ATOKK8yG0F8c6j8eOmneZwlQjLUohlzoXYbacx+fvo0V1O
JwNHcDdF2D6OR7dd2S/sPfYqwMvAi3RN+jSz6Msa9gEwj3yfPc9Px65cMkjKeF0mvt9fG2vtoM1M
AppV5r6TVoQoJs4Az/Q/Rkj1EDet2dpBJMmye6ze5bu0Ny5KJB7ReMypyujZ7usmiDvwhZvB7gvu
gzXkNvuYbm1br1KVaxs4tUAkoezItIb8tNmyeHIFJpGYKTnRjPpiH9R6EQc+ISvtr2Mv/D1YhaU6
CWFMIV5gqvFKB4E9gnhL0dvjLghEztdtEgYClZ/iHamu/XmARetSEw9rifnPt+OP5/TqTLCgncHX
1m9B/IyFeJbpyZSgTKxzcDavEl6bsJ2iVFIXzWLVgIFP2plucfFoKN1G0s1oBGG+YlifsiEU5Npn
bqk0sOc15N7KS4Gu7ZgicxwVPV1jrkmsN/nwM0JahMY+QrtCb3Jyksc1ffXmldAx/rJMtPZYiuoz
mlNqs1sSMjWIeu0FzvaJ3m0zGh7BwI8D6Mxi5q5N7kIocqovnW3FwtSY6gWbhJPnK2X0fxappOxV
afARD4cHZBCwq5SDljR2C4NVASW1IkXh1MSbeiXwe4u+4zeYzW78/4UFPglsg71FP0xZCb+KKhSO
8/F6zIoL1aHFs2GSu8ktjR44J6TuE7wfE9FGMUUr4zXuowPJ7o336sBjBG65FYatNsSBEGqw4+QA
7iMZ2uky0b213V/bS/+G1Mz4VCHVg86Mz34DywXTNpc4NAmLug1qOPYA2BEfkDz64LiDoue5+sxo
ZjuW+iAPAK9sqZ/DmFKgGI6+iiEEjtZOdSHhPi1ss9lCSJAbZ1af5uCL3lkqHya6rXCNNjKeCOIT
5/Yed4KGbB6yAVitmOIrXKmtOsL1M8Gi4MBXCozf9z/uvlw5kahgvhkxq1/PkvK5NSYtDedzvxin
LzWitxwCJa8o53UxK/6Yh4/GKS7oMsVBsDcYfLtZQ4fMHigqpv+aI9y1lUB2VHEtKi2jrM790bAN
w03cOKGSuJP9X5nwwPszmxI/7U3gooBRZyCMk2skwHkPGgfTsCinSh5Q1vQKlqmJBMB++py5z2jr
IkbP6qzL5rhspVX5lhnt60uvwanq0bZKoRj2tiIm8QewnQMDyMJOr5D8teLbUGXVq/HZSO3dhFVc
XL1RKd1rcejavFvey9U1/cq/jH9SYVLU0SmX2jnSJsMi864vJOXZd12x3+hTuxc/LOQZBuALpYar
/HscVfD/YnJlufvPGTj4Q939ZhD/KSAMAug/cWmTGVThbSz5pmVxa4mHb8AbwxxQFc1CwWJQ7L5/
Ea4/J8Xfi+wWC1MEEgSlnpxU0MPTWF5ybziaJdCagWUBs6WMnVUQ1gdlIi9GoJGPKRdqObvUYAxb
0QwqnwDR3LyH6e+BwDUwrmyDFtfGLx1X9mGMalujWe+fBwyfx82NsZl280l7SeAuUaExRdsSOMDQ
ME4c96eAt3klHAVtXXAfLg04zWfq/g8FkbshBP+mUcLdkYoYPCllc6J+5PepFXMhVimx+2RfZLPP
1W8JLnJOAMA0acdo79STV7nrB6Ddx7AaluxYidK1CEDEwhZZvS6MZzlk6WI71WyOYwnHAXc2yQ3P
jKkvxDGiEetGf5u123D73yI5D4tzkksJGlegYTTTo5WdotZLSqizEyqReAbfkTg58Jf/IiREra9A
J1Lr6M9KUrHd3EFBTjkmkD9064rUAXNnKrHTsBcd+MK1tNbAeMbNJLSEBCB1j1I/+QJP6xYYmtpG
YKHL4PSwfAk+LL9VyGJ7HC5mYRREGxndrkCC+AMuJqSPOFEaQdvgHShaHgsTh5ZBuwTLtnrZf4OI
L+ekbULT/l0hxXn5qOw/MN7Occaf+zOuJuiMbPUKHPxiSqgvdV0f/Z8qQvmRyH3rkV14vV58hdrL
VUUD270EdPqkx6tQ/05SYUcdLuHpqrgY/ldq7sUzAiGF/0JCBzcvlWvWUJhvLz/DREE/9p4nQakq
6AsqFAa5Qm2cj3QPDRVRwcDEfT7+n/UsLAbVoeAXKhfIGl5LwEzRVNkIEQ/mnmuCPcdysJnjkGrn
w12mH+pOBG2lh4RM7ewkcGNWjZLT68LwdvrsJSze3dnJVSUiMs54JU965/0yW+L+zSCtZRVbWja1
rwg1EsGxTO8ZnCd85OAYnyZIASUg+z28YfEJ77Z/gpIrPzPpcXHhbsDVgGzSyuKc30pbfEBAz3BL
eIB2Em6NabeuyTTtHv4oQ3bXrwcWyfuNEbCxlCLK14hkq6T066aEJtFlHSCxIm7iYM17EQpwKHti
+BEUBlYhjo7XUJffLbYDSPzYqEvUip4odvzjKxC3b+cZgHyR8T34lNJtDMSkCWkP3D+NpCGaryC1
YhE9TmNQm98owWzZwImIwvP27HVdBnVoDHtcN5JXao3RBTqn4zzMJzzAFD1G4fpXHcK5loq/ZJ7d
uLoyUY4sz2sRcYV7mEbRa8WmHUMGyy9Mb/BLq/IsaNUY2/y6/oWczedLctVrmMWV0OGUWL0oLENz
qDlpA1YRIeKa+I9TrmB9VdGBdSZYwXT9xrJgDyqDeo3EBHGX1uo3cNbMBYKmnSE1DA0itFNTJ4Rz
nzxKxP8O5d1lfIDtIpZl3rd60b2UY54se3kSBpZd0u0y7Crc/KnghpFmHWDhx3xSUkQZhHFYrJMi
E+TN/GcVVP2LOZ4O8r7I4r3Jl5AbHRDsN1woqHatc38q70rx8GkvskL/mM69AN4lb1Yrkw2CF6QU
KIK+dokuVT2svxZdwJNFOTmtuBcHhmVebR8nQ9weJ8jh5GSfg84Mh146JOObQiOfPmmd4MThAcaC
TdGHRCvfxT9zXUMO4P+lLkamBF4ynvJc0Md9wnMd4oBs+/7ilZYlk9ntc/8xruf8NYZj1rGfWEs+
sNhM93tmhXk4lQN6NNECJGqvD/9N2CNF4eX3JJCRC2ih8AkCxI1yXCBkcYJcK8MlwWUDJWk5AcAz
dPVkezn/QccL1R1bFfr5+QMrtfhk1PCKNkDLIAoKo6r28yiXmcKQxEqKG7jru6w3zQNJ/LWDiRMg
1A7oMk3THC2XwkMajulHscNCm3o2EegW63+KlRbiJrz6nygUrS2Pm7apIE3JoCfvoSdbvbiouUJa
zretuEt6qr48tldYkG2K8+qvCZLuYYN9xCswVcjQIiNekBzEaETlBc11zBDq0qOoZ03Df4OcIkN2
mPpJbvxfs6fLi96dZpN8XF+OJlNYcFHVnjzQTYnSAuV70hsU4FtP1380Ec7v9nZPXpBR7N1P6orM
iNY7ICyx3tH8hokGhk2AdiTCTNhKFTtnyEn2OqIrmNiRm6VOPXknobonoCRVwW0NGbGjbXCBBQIK
hc/y3KFR+fMrLeaPMQDZrvolKeKp+TrjFTRDdsDUwLylmC2RLx9YgDk5j2tue3mwCEQpWZawCJN8
jgABeLGO55nEfn5nEp3i4RFCe4RvWinPTGTq3JYVhT59f4G6y+JgoKMuzEpsNJMamSN5so0hFGG9
t6Gz9h/JaCicfJMLn+lUCfDMbBHJ0ZTIAeZYZw9OCCIhICCi+/38V+8HbJeAlrXYXQsw6hec5AYL
2twIhvEvhs2uQq3JUforZBuDnK2MZZ8KC6C1eBfS+PleKhVzN+8ztxw+4v6mOMcSylokQLf86v+P
lcnxAVczBNqV9uWQnYRVlcx1pfzEvXAFqMrLPxUHMG1eWGHdBw9gAKgdAnRbhUB5AHy8VnuzTadc
m9YZbsMHCIqJ1wZFph+kwuRn1q67SRRi4Bhaw5ZFFSQusMkuQUyFFKXB1Ezp8+hQI5WkVJs2b/95
2TEvDSEWP0YKu/AHjoBKFVLYrVjIAUa+h7MWa1H3cNlWT6/yoIqP12q/LLQCtQR828S8wAt6A0tD
whFLL7K+mSJ3U3mwV9XHaSoffc6ybi2A+kw3PCa++qBlrnSPQHf79AH1wD0CSuq20t22mvZvAKYB
Rc7tANPEa7kLh6nfWqKXBjUA3miR+xwOZnPhuGYLHeVRI4vvtSyszDAdA2H6KhO1Eo+eCWcDlaZN
bHPRJo+FIx9eN9OSiTSFicXeNnEEOVP30C8kFP/CjzQlBs+M0G5kkBvUwqpREj7JeJ/u2KEL1AYZ
hftFPPBhJT9NzPTEAV6zeUIZQyVHbx3EoIjlsu/MmOO0jPo5eGwCJLJrATobRPzJyluuxoc+m6KX
cJ1al6hFW2dcDS9pSGrM4x3vxrRgL9+P3dPPkJIcgx0X67OInS15YdrQU/9o7JcCJIqR9AaEdLYW
4JNvcQRegDx9KE9QROkC6Lo/T69DmL1lFbQnKli7XHIweciFbikBceIhqOguxsbeztjHUpVIfsru
Zay+Hu/lIGAcphXI3u3EhFamgs/CNnMQNIhDLBQnG6BzBB08U835Tob8QfR2Pb/Uc3P+pHK1CFqO
1OMYSkU41Y5m42Fub1oIFCdy6mDziw4yHaLO3KSFBS+z0fsXqZKkpRwRFMxM5z97Sjn4qubUZgr4
e7z2X+UpTakh4/YqVsnLH4vsYEBM2hZTsbwcIcQo8L2cdps4J33ZEwK7FuveQE8gwfmxZ3CtZw75
5LPVDZd9sRuf2EZgryIrQcDwN7ckw5jsqMUDSHcsYklYeShVuYACXtauPYVmlwAj1GqZSsushtSa
InsbCYtDXz477ZOdi7NQ6iBOwbRJ+eS5rdUiIVk0A2Y0ZgAvSO+kktFvaBcGXQS6w0vork8Qwapk
PvlcspyUfZnTF97pczkQO5uRmoMJlLWznddTKVOqr0CZk83YRhMOT2mEHoDwKynmGCY3pmyHjjr9
OGXbzP7dxxWqRx+zt5bU0eYh8qQ0UV8Ki+qGKr4URPnPo/dQmPGFWAxAir1TshyWQ9l2RjhtosId
r1mCvxP2ZOJJLKZUeu7FdC5Qd1icVVIPpg/cdNICMT7+1r6n72fdVQ12UaQfED/9mEV/HoSLczUZ
MbhvhV5vC6xL8ud5M70kGs0yDO++0s/7J0rjtEV3/GCLyaTnO9QBO+vZjGLK9nFYMjH4qh01UEro
7P7U84RFbf89zfJBqUMlHnBTAzpPB+o3/6MiD94hMirRYNYPRvq8kGIj/Xho+0bVyeXD6HN14SJc
RFYbVN6KfSsI6UYBdngsfTnyiAd/SeDqGxHFFBAdivpsGLhp7+fFUbHvbUSupl0tT7VI2KriGPx7
T89JCb5E6lDBfbH108xPWBovKT5IdW33C3u37iawqV5YRvrWiPpLX5VUtRd0wKimaRk9zNehdiv4
MWFAqXNZ6nutcN/GWgshthib/ulusdr2Y69Fw5riocse2h89xkWo8UboFrWp4F1P+zlUy7CEta+i
oqhqY7TMw7x+xBQlKwvvLdpa7WXzV39Vyo3IzeWWZszqVmzy+sf/6eKqrPIHU3X4dqmV9URYAFCv
Un0FMkaofpLULH5Q4XhonbvkfkHSRurvJvdQGU4uY2/B93TnIXoy+6Xc7zpZbw2g7xKKrYpN+Rty
k3QxNKyMkpwF+cgIw0nlEL/Pq5n0+oIt5m5zzVafpZlYl/I1onDfOaZFYKVMDMtntNY/tjEj1VH8
QFz0d8It3q+Y4Ru3sTwhi3k6DHw6hpvO89y57IUIgsK1ypIj+IMsYKoHWF1+Yxsc81L8puSkkJb3
3JzW1VeanLi3ZynQUGcsHGnjG8/eCxQPNk/HBrGgRUFE8BpFYeH+OD8U208hwnRgCq5e/a1ydd/1
TwlrtasyZAnAuG4DuhPRPpkUcFeG6RBGolaPbbNSAHEpLZE0KYsJmvZuRrsMe67lcrbHjd8wNodc
ibx2rHeC+gjUShTfil/tPGVhT5mAm4Dc68wVsv8wb/+FlvK5EsTyu6mlIYRX68ggGiiivjALWBcm
OzBM/boq5D/nvNe74TUzKShpZm+ZS8owYbZRIPu6kKpBx/x3/auAR4NIYECICFxiXtkkdB8d9zuO
9b+l16adQ9354hdwzseOuTR9HJqF7tz6fozG96ilmRwcGndI/rLsNtruj/jjL5q+OUEkviZtkhT0
eGDr5cecMWeQPHG2INN0iF2BIXVZuwZ5ct3g2k4d8w/yOttJedCf0ie26wKxSisiCHI1++EGWiUh
oj/RQohbsknelcuyJubFZlKWn38OU77M3auKp6iwrX4dTGDB1SGwd0bvfzvA7KhrNLCYOlF9ZPX/
Vo/785d01cEf1iHFs/NZ0kj2xJjz6kAtgeHq2CjdXIJkjkUFylMCm3AJBXxD1NJ3q9/xZkPRK7R6
ACRgGtgkXETQDiJYF/qeGEUnkOsUxa4IefXu4uFZ59mP7q3kSDC2TWVcs85oPzS8G7gKKV8z8XtA
iU3YEixtCLHUkaeoWUwbD0nwCRPrxHuQxVX3x2Ugfwcti45NmlWzy838523vsi+s1nrSpWSKRODD
ceIqWqispJJXWCU9jOPBNNTejeV8x2ft4Hf7Ww5j8aWAXYako2rVG1uNEQD6mUdHTaShPJsvFN/f
N+HF3Y9cerFr9Fw3MnlT9Uuglz94LqFkGsRQI6INch8iDgWe1rfnZ5WzvlMyyaxqJ1TSbhk48q88
fv60E8XkyVZo/0Y446cwQ9Phqewr0m0I819QbaOhvd0RMu2INiGtrvCSIIC1+C+DvYwg9Hi2mByZ
o6yZq7ZbqFD1vo9b6FlRODu82UAGWQNiVTnRQo4kZxiaJpWXXMSeFxhpEPxA59kB/LWoZGgs7UYk
Ev1cxhorO7x0KuhB41LmBDYkMai08+Nhghl00v3RHmzYYdNlmim6EAxEYdIKL5jnU3ydDT2zrqyv
GHoySKDRT8FS/5nNWu8nHJqKz8px59aohtQ4NTETL5UUWsWGH5uhY7zdnp1MN38Mma9AHY94enJC
rZXzSB+9S92tCIzMWY/ySEW8fKCf5CuH4WFeZrvU4VBsrRJ3Jv2tMLjvNzsdez4HfO0mTHvKoIdd
J6/8ZsgHWI4/kWbIccQRmRrjnSjA3dL36O1BZujvuSmWhzQGVwaV1GgRZYGbgS+udJLubOj18YtY
gm2QUCN229Hz1VZPSLwfSRa6Lh72dxURgC+xNuVgcAK+Id9m9O4dmuBD0bwUnb3rDIknErExBGkw
5lbQgxytNgP/pyq1/Pr/uFdb+h/Y6lq85vpGYNVydxOvS3XtET1MqH2j0TTQQky5Fwcgs+nixvTK
I1AKbZruV/u2Hu7gU00AEYkmaj+tgLxT7t0Pr8ot3yyxh3qz3Fo4En5qI/HgBRhD2/+RJ8CRg4Xv
Bc6K1nSQWD0dbBjcoqrML84sytvZwPNZeRrxZNcMbDQGUlXpAgHv+rJaQeGObiCcuhrPjPpzgoEV
+OYwkZm9jwib+c5+oSpRBcktCjleDCYe8o+EIVWiBRWB7tsv2x2Y2kWd6RMqCCc13h+bgMtag2D+
PBLqpMOPd993TPz+MVcXxgJYtIL4wEWf7QsAia11KmBZFgsvzA49EIpqsKx/gCa/Jfg82RbDTFB8
DNly/LtrmsXFLCj4T8RjlOucQXG6l0hAkJDmrLUXUUG2Z3C4xoak3XrpwrB7u2Zj8AIQrjIgRmUE
lznLj23L33+YWdXFnVqcC3Zyf8EyVcaJR6H9P3Yrbv2sU/sIFcfvCeMnph/AIkilLa4c3ZnmMGvE
STkfpMQZs/rn748WlUR/TpRUQxmXWWwyjwm7I5vf7FLjuuNA3IbxCUkvXOcBspEM15tEO5ZdMdgP
77ipbvO7Sh72HAa/Rh1wQvsl6nkA3RVIeskCFgGNgd8TjtqutqzMjTzvCmi8+6GDN8YxJUVd3GJ/
jBWAnS/ZywibBDm9VfaSiaw3Zjyoh31E3FT3TGxyHzPUQVpIqGxPPw9FyF9yGdb5gtFHd0GBxCIZ
1/VS9tFJMpOCPQtyZWv5q/qzg7/66LPZ5Mv/Uk9rr4f8Wz0Wsilxt3KLG3f1vjMxT6a//gEdUfQ8
mlLkKGgB1W37cBm8e66p6qq5efopRLK4xBLp+wAz0BwDkoDRh9r1HO7DUwrHdaqtLGnqAUu7IqIB
cvv373zLSFWSKuuBt8kp3wGEuisX/jmEo1w288g3PCD9bW1SGvfpoatriYGNf2S6jiHfd1X0snYc
JCIZgVZnH0oRv4Kg7eT7jZ/0DLRZ+k5fbEDhbeRLwEPd0wwK6fUwFhTABahXp9DpOsBu0TH3Yra0
kxrC9BKppxA0tl3vCkeDqx7vybTrQ2BhVrM0+4CTTi8L47ORwPF4RbwYgToyKvU3p5EtNePiUYp8
m5lPMz/e4cOgb3u6WtPOGsO0Yn9Apr2oAohu4jDIgNcFk+4Gf8ERT7oF8rK6HUrcsX/hVQ9pBpqO
bMu0/5sDsz+tD33vxGVWrD7N5ge7R+b2NQEb+8maJwZumE8wXHyo7FENaqOa5gOfOtzZhg6F0j+w
OvognnITrMTY/Im8Rv7dpZ0F4joNLKOn8WrxeUywzUQU+RMZA5dAh9BnkEOSM3zSATTbqScEQ+Wl
dOERXovwHqECzYwVGVT2XJTx8pIuTW3axiziYCsqovixSKlfSJE7+LiHDtCVeN6LeirubVtxKs1A
g30yhJg07rvDJodJaiGHCwRdfTg5//Nu9ImTlluz+70GEsTlK/8lkgX+Di+5XfvYCU3VCozflEMp
eiS7bH3uG3gQTjHUtoIrPbVIsEtg7HGeOQiS+owX13I9VS9KMzsWj9ydsYyCx2GOPyrNfURFQFiZ
36Ku5tj4MNonCPTmeV2M9wSRPiZvAp3FVTd1gjPsoWa8x72AV3/yMZLTS8r3kqGoGsFblpz6SDCO
xuEzMu1mBa6jl0nnD79tcidrgn1THnFCA1WN1oSDOEEeMZQuPtkwQfpE8Soi2M5LD0//xGIbUK3s
phjWvZjN8EXvVWHaqH1xM0+JUPCjomEEtVrr6H4ouVUQI1TSt/GET8uoM9LS0nrkGKb7TgptFeOz
S5pjV9mKduU6SLRrGXtGm1EfSY6XBPQy12aD4YBgvqAsa8E5dq7pHwAdPGTKLHZRGy1BhzK5XSot
JDW7nY+6Q1+ZAw2McisrbzET/hw6jYAfcoJIvFvHwNuCWWtNtzP22dFSs/2/MQmI0J2fkX7qa4ej
sKp2SHmg/B/n8tepsLOpn5QMnDOnKO1Le4g9W2gSjq/baWFc1aru4PokgwAGm70hsspVx1jQx34H
XcXFdeW0h1Vgsgcp5cijIoSK+bghUum72aSsUudnQBO+Rwl37gUN3ukQkOiTGr8nsJ0WtRCqMHj7
5WH2O2WQTyF6nGgUIPrSR32yFA/IZaiDogm8+in4SQLtlHLbdC5wbIan8ds5ndaiEA3IDkaPlJ5o
tW9piarU3NasB8ZGVfKY4e9zBRq+FHWzQ/bHjcJRuvNfqD8tfJ+gRwmkYsMPHW552GfN9nSeIrns
DjH85ycO1ziJyG3ebCv17qDxlsX5pSBwcQC3notR/eOSJxpjOnZmQ8NPkc6yV7n16KWHU+/q2cp/
/izOFEpVq5wIWf/K4X5d+uDKpktOvxTn9bqMJWE17TvAMfDONEf8FCU/A+uMXMd98/V/iDheQk9G
LAzt3ZM4wNALNSki0hRFvnF/ls6GEJQeSMW5ZKsQ0jw2T4pHlA3SJ6wZGWrXrpkp7HvTJjRRq+G/
NuUelmywssmEz0gjNjwpA+Snk/u0LPn2yRgp2GvAK8kk/jF9b0kxrxJ+JE2TH0CSzb2ZXHFu6FgY
OzpbTalC77+uKzjhW0W7d5a+qwfn20X6qs0fnkiCV+MW355vgS+zb9kcyUrRtHG7NUwzeXA1bmYw
8FDh1XJnYoL9lRUtdZzQ6JuY3FlhRSZ68Rl7hegUo13zrxKQ+E0zpSDfh9IvwAjRfhtmqAkOq2cL
1vSZBdmngy3V4vKzMYtVFQcpub6laFrk9fmU385y8cvvOx7ie+aXltbJpS8Uq5t+Nsi14kMgPQXM
xxh5qwjO0tQNvTdA/d29b0PzWcS3q0212u8fD6EYs1qU28LOi9Zf8WCvcb/G0F6FvSzJam9fn+Oc
Lye+/APJjujA2Y/RZn/UWrrH7xRq84QbXKN39jcpGmWnYiGwwY5qWgL+dEicZYRBNL5BBEe9DtnZ
ChklJzF4mikmTPOpndLVujkF1ytBrjJiSc5OXppRWQRQeZcYUe2p5ZozhRdi4K4eyriaFhTorbSR
FrHV3hZAXAjAdVr7PCs7qyBPPUuLYIhKbX4zCWaFTJRW2BGGmRAhIeWu7ZX8hRpgi7MjK2ivZnlZ
0mtUbcBxSUQpKgg9pBhJSevFO0yfV9OmigvZsI+FWlgBgLIu4v6s4EG4IbpPm4ersXYvI0pFK3y1
pDIIDrAGpXbL1Lqgu5N1tLi9e7vv73f5Hl7cm8b9sxC79bhESpuImGLBb35GrQx7f8jULCxgsyqu
HdhfXYo4diGL9QI0D0Ma1nFcbgCyeRGzSqlcFSSO9YjyDn73wd2dCrpg6sA8XqmQA6np5lAtB3wD
ffCHdeaz4jVSoG2C8B7O597/fmGYYbyIPumLONZ6LhHyO3eUX0Wn9ks3J72J1AX8HkUU8qxL+3i+
lUV1SPRfk9fWPMhuizGhRMTzf+GxyfOu7QgbnV82Le5/kAxv98O/89TRt3h6JYEyiRpxsBETodon
blBQpnQ5dN1tpSIv67qdP3j2hoGYzcj7sKedvFtYwqYRhwf9K67n+AEG/M34FTlUj5r1Qr+eNqT6
PE6y5Wr5ePelN3mqcmsWwb60IQBud21sYvFpgdXpQUIeH9xyRg+XSOPaBld1PDjnxedHMeqWAcIn
OgMZcu86nEyP4jJe5YV4ydo+wwf3FjBD9q3QWFbIb9/DFi3xyNTXm/DR0mxzBGp1D+jGklaD+D84
mjkhG+sZgzYvaN+O7boeBsR81rMqLz1LVFHJtiPzBO2Otxv0WM8Rzx5F+B2WIwLpEMDtKTsHPAu3
7GhZ6/pw7PG4Y2T8F+d67UAe6cnZoXmvXyEwoALI7xOVXdO6stPSsr61zxk7k5ZMgW3qTqNc38OU
9Mdd2hGzrhper09WEa4wR9nlF1Qo+9NpN8fm5zYrTrQj2ETyJ5SDWhTzYZ1RgtwOzau8Rkig3Y+f
U9Jf2nm04+rlr3Rnh1wd8Ey96u+8CzjzK+0KRS2X26mRkhFIwUtCI7V4teFeCyx+K0hdEhRIAUnH
vpPgIL0fZMZ62vTS3AO80+9Z6c0PX0yfZkJf7cd2+MK9vPngd64v+N9KJ3d/8lZhOnSVFVEccimk
l5QaDFXnEdJuPgkvVZhpqlcnvzvDG8rC4l/LGm6q5e2T9EUmJKyayb4rMoD95ZgmpcCNGju1b/wT
SFuTanGKHPzrduQsgUX73vuYFFzCsYfpvyJ5cvsfqpIyJ7x39j8d1AI4207gVA3u8TVyfz1iH5P7
8+UDq2Z/ZzV5VDS3ksBA818tnY/kzLA/FAvoSlLk4EWFw5hTnh599M3vUPTvBeVOQNXVPzBKipXo
5EYCuajTpR04BQrgH3u0TZRu5WvQE7WAd4rARscUID44toIOBVlkzxiESOt9nDE12HofqQUVfuuH
+McocsuOI6U1MOgAWC5HORV2Ir4R/Y9Fzm9vQx2KQ0oaqCxYGpmqo2P1mpQ2QmrluIJ5Vyd7T0Pp
WVm7l6B9CToJ8sc+ezqPkLC/94zTi20T67NBMZcJjDq8ZZ0FwbIOlC+vbnNrO93omdvz9Roxfi26
ws/6+Y2xvDs0Ac9VZa/fG7/wlOg1O6eJ4aakt6IxUMWUgiE0As0VC0CoR2gZRRfVLhKvB0SD9F/6
t6yrI/2jPuMvfaAPBNjip0XnjF8HYu6utYjJXLPGx3oa31rkST34EE3kmBifCKuLM7iy9Z6ZpJlW
9WJQUcj4oeM+ElPcy79ceM5VzIu+MlZbUjYqKGfF8rGHhJRiTzKO9VGhTS/roWQo/gvQHJypGYhn
pBceePaH63cgrjJAugTigDJzYr2sdYxN+dMhNBKDDiCpi2KGD9aC1wMpcr8VlKw8B1Su2r6SPXYl
qUjnHZ3P3ZNlnlULlejCXZ0rjrOUTejlzsdHcP+x326tXO9K8ewy2H8D24m5p5UCJSgRnyI2Uhh7
Zc7GmAoDqiOnJOBGTADnCnOmUSoS2EVBFAxBbkbizWDR0oAqqC8n0ZFIxjFKh4eD3BLTDNHZ4gqe
G0kDGqVqviAwCndLSpNiZ2vLFyIVmbBgpJXKSDmQbMr/Ddqqi9ADBivOp33mnzTT/gZnU9nlpoNk
w7Wvgtwa3bJHnDpfHzFu69VDiVDcbJTnPWTkCuzNXAic876gfp+1dg/Ot5bgmioncvu+mFNnUT1z
CSyDmQQCfp74CjRoTjVZP5+Ys00uDyRWcwlPOBID5oez9+s9e+SVVFvnC7/x0nnyn8p+SyRivEwO
JSf9xlRHHLxRqJbymtbOHyokWJY1/XCxx2uXoACaPrOdbc26nEyFmccgraEj0D2dHIsMRsw/2SIl
FXWIargNpRwGXo0yoy2L0jzark4gmSDYVVlpiqZfd7Z4ggdlYw0plSV58h4c27+GNHIDzD0rhHw5
Gckus9f/h8n8NPeVTAzkoeMqnSj/jDgBBSczRjImtCGW1p3jdJUF3Xb1kmydiEPP+Qcd3d2BwjBh
gy+IJv1qzjWGm2di3LD2grILbSGEjQT2NhCaKalDumIYiOlOv2v1cvDIktpwIziEyKuEKdS/TU7D
8qm5Y/j9nB389Cjdb3Bw/vo24NJB96HKw1NoXy4I2akAeY9h+PHxJk1T/hHHy2BPVV1ubNRUq6aR
fASnxe187LiNS9j407VioJTMjjU4D1WfAAjNRkfmz7BeTdKJRsLGopRYZ57I6v8y5oVmF9g7da9i
BeLLNskTh1hdlTEq2R6y2rIvaogwsBdmJYYpp//Rqx9fDMZ+biGO2qw1jWxr5+5ct19yksHGSvCd
IFUGn1fnma4G+r8Lk27x/mm6e/ZmHCimdNYlRb9BGq7/bEL60jR0Gwa2cRexLgWkfqojXT4zPFzV
iRIyyNGmPnGIpgWPdWJjGt3BJmAqkc8J+6N7Cd4DFNMb7iIGSJAo34UTN8ot/WeP2tH0ejNhxZlL
sj4sqDisIJPwgPB6LUDacgvpqVmffPC9vbSUN3iUuBwASX38tColWHG4aaS1dRa1bBgY3uTZGPoi
wR70+wlHVgsCFRXFjLBDkzqVX9OhZmY2F7czhB13CErqY8AV/Z/5q+28X6iSpPoefQZ2udjviUNN
IFPEP7y1x0KPVmMe9Ts3brGMPivpGNS8RPqdE1NBItlC/yGuh/P4MwqeqSYtUPkc6h9eVVn8/0cB
fOzHb+pK8prMZbFPqkmyLjn8MbP6SNcXP1pBixnji9dUXNtiekz1Q3+ZpprVnQLFWniS9B2rQlXr
5gZQXc1DnRIWcGO3fOO+LMaXl9eAERRSnum8RDdrV0iNUm6GUg/grIsYbLm41/XKBbGOdvV4AYOl
2xyma79W1Se4NF4y8ij8XdzijlPHm85Uv81OuPul3hJGg2jviEOyjgU2MOLMFfwn+YqVzqWKIvrv
pt5SFiF12+AfurE78oEyylLvdNLDjMKTFu9HY4Lfs1UY/jWkZFAlc8zhGnZ8Li6Un0oFh70G+qqf
yZP0p/YasR84xs4PV1IgFqap28xYNU1ZJqWH0t9H1/0GUhX5Sjnzv7cOPzxyMO+SzUtzhREMfQu2
CQLMKw+wbu3KDMsbXMiu+VlgPjuinDq/I6QmSqiE/v8qOVis6rtgbCDSZWckDfxeSslxt4c16Ff8
9Km9ZR8+T/DIiSCuB16j1ARKJuk8OkMFB3a58O1oouh3p6ZQMbCfELTtvDvkL32Em7eJo34yaQIS
rdY4Ycbq6P+2nnCKJiAPudwDzLGpuqE43CIr/wNi8IpD+59XkXPWMfCkT6mwPhHfWJpGGKlxG7fn
X4/UEtcJfrahJHb1qOIDkRrT2Z3Y1QTNNuQ2KMRjIIwuwoX/E2c5kGWLfLNYdowIbDS3uGcoJEkx
Pz8N+8PatdHUIRMH0uCT0W1Sb4oqiE5ifoV64l/eHsSl53p148vMrZfcH+Pypq6zZfQGJlIeUYuz
oOdNj7uxPxuvz+fWHvNWT7UxHQJxZQU+dLP0S7aoKdcrs7IEc57eVO1FPu1lPMfjVWCArVwS2Occ
YjM6sD5+ITJGRtvF/KYU4Xr3pUjGC+AkE0DRvk0D0gwcSlau5eIB1LGfCVi17pyOtlNbo4+SDV5M
548RJRwCDzsnkixDERBxyTlgzU5+IeeE0rCLrwbsQ8R6gGXkNFlJdu3c5EtGbEKayoQYz1WvexxM
CEpb9i4tq4Nc/yEVAPHCQTFODLO+/UNklY8uEwufScAC3F1poQ40SWwmHP3yMty5rhTvS4vWqeKG
NyC2iU+fJf3BpqeP8YUNRbSDg3tjNJvB6p1p/GBF+Fmr1Rmydr7GIhaQxGbHZCPRHAd3UpE5cPB7
Ht6WjJ0KepWGWuurq9Q7mEm/vqsUtc70R1c3zhZ4bt31rnjRPYSJgpHFqRc5eI5hmy6bkx06URh7
zWqd95YCJ8RfHw5rP6/wnyxx4EWaezQ/1c4/MF+U5nIIEzDNCV9OLoWviHR+kvk+bgCtQwvSUQvN
nN1/Dt+fn8xlY39Vb6gjY5MAyasTXU23rWClwV8DZZlRScDdeJsyH/CxzUilKt8l8dTGRg/r6bW9
pe37M+/WzvNlffya/5F3Ny3Tx35RuocvdhkgmUyd5ph9a0KzYLTdh0TaFaYrSCgpsz6sZZssuUJq
ieO0AGx9wEa7PrcjZdFO/Scz1/EThEn3CcbGAtE4DxIYPMeTBw0ug7tTwtY0ld+Aue+RIQXYiuSR
Icu1FOsddYlvo9TpztLw4TPNXAWstehunxFe+HzK2VBry0AF2kNt3KazpuMO6F/JlmVd/Ch2pNx/
jHSRCDMmvveZP0PHDtdD/hu+bBkhJX7mj9dhu/CVJAO23S69AteJ1Kfdu2cC1z46sxC0JUB6Pg5K
4OX3ShGuV4TiZCd/6JlNK6q8zGeVTYOMUIk3rl3KpO/SyNjfMo1ozx1eDhJQjQUjYv8aypOsQcTj
4GENfXpESnBc5oaWFf7m2uMstfigK1QNxptYJTBKOLoMwGBuzUFDPnXb+sxNVGb0kwQJI5HOJI5N
BAxud2EKW2oY1+ZTc3rzoqAvkw3cXhnsZualb0n4MAfXVZA+vkhFfcDV6is84cn7kGUg9mwVrxHB
bnfWoAbQ4GuEvofQp8zqvoBAteJ7d2T83rMszqaQfuZx8NjGIfi+XgbSSMROPqoX4/PSBEZnsk5C
ctuq0lkQUSodkE52AyrpUduc0uaZKn0m40yXdtbj6UbqeJkbQYWdTYzyqHNyHrxcq/F9a2XOElqk
VRp7K1WkKS9QiIRZFg+Aka91CYG6JZJgy9DZoZ76KNBe8Fkh9rxgxldNjXPoXfXmClNbA84IpI2f
FrDb+3yVrt8UjKk1XbAkajuHV+AH1tGkNu0HcjDJyp89QvdQuuue3sw2Ob+6aXFNdZmq/ZdwZjZs
lLWWBktupKZz/xco4seGXd18jcFn7ozsB6imht5xGGZJ6i0s42B+IHQzX56PANo1Lo7g7WZGhKHc
2yJ6+tg1tKCASfDmfzN8MXszEcmfaCapQ3S/QNXX5MoN4sYxb0qQIS/9O08inmwQ4END9IdIS0Uu
uQeEywECairU1DjQbLaoAdxL0HMldGp/UN61dppCaydBzOFfbawpoxJo6EUOC13vtv9+vZYnlicP
FfiVnWRLucS6/OE/A5NXjoXQT/sR/EPP28tKIsx8YUirw+Ldh1ouUWMLzQEz4twknwaYdmxRdEvz
Jco0qhGkApCCGK3EeD3E6T38WqJUf6G188s7g7eXx0COHW8rMnkaP9/8bNh5qW0SZ78k4RGEkfHJ
MIvzRLAl/2rbydV+vxL+qFtkbzz8wPSl5YBzbE3+LnX01kT2eKO58pUF5c57NmhHbiP601PReHxq
5Fduadpybjol2cKJPbjfioROcnkkCDCxMMiFwL2XjsJpkdmnjNc7CizLeQS6dD9YXcxnZNeH6Ach
lvblvSdkpXmkrYQNLdFWluQKU7s6bMYYzuwQj5a3Ofw0WJi+jZcAnQF0NY/R5oR8A02pkQ4oszwm
ifc3mwtmGoqUiYP8m8Y5g1UeytdKx8R28Dje+20QdaFLquiy04au7xcx5OfexVCMfOme3JslILmv
ItFdql72xrRjpj61V7RoCgJAFQWTTJpJIBICJwuyFAZsRVIRzuvC/FpSjWrKmNCg/BZfiDJx8/Ax
VvLo1ZfKDwzOu4Lh0TKXGOm9rTsYJXNJA7Qm7PguIoQNhH1Gm5/Z04jTbU8rQMjOmRs7v0CijVfA
9Vr90CwInsyE1o3S6I7kTQOY2Vtsx1f0U9yGAMO5Ly0pQmkieDOGiNrzsoq7P4HfeS68e8kbRuvs
43377TJv6rD2dlNYA9obRs3kr16wdF6+I3qIdZHTWCZHeOlg89Xub//y8GypurAo4K5jBopxM5TT
G4EBGd8vXp7xUPcUPhbGJfiKi3XLBLnQjm/2CUcijRnDk6JP1jDs8XYbvsQilDB54HsNwdFEd4zZ
zol0lFqPmOV2Aex/wW9WQ09hF1dHugu9oQcGreMdU0ykN2LDEOK69+I5qVy229rI/SmGPzb9cYSN
PEPqhaqXCM9JBejlJPM9a4uQPzuHlOz+ZZfuFHg29g7xOpEDgErtYHoVCBmDWsPtqkjy+4aJX3Jo
ZVU438kG0qoS5liKMB02Wf49P/t65afArhN8gU1tWxVyRYw36tkP8WAzXvjmHtCIKVilXm+jUlZr
9ZNYu6ypd3ATPTPLXHW6rtavd1/Uat8TvzpwOEztU+KGvZZAeSGz052PpWzPNnagTIxlfosxoeTP
EKyd+FiGjoNxpfb/6CrMRI6s4uwIrdIT8C/4TKJNtNFW+DESSmWsaC1hGn3uxGkN4geRruiOmkPM
0QlnIHAsPL+9jSPx7949xNeb+3UI0Cr6cfJDYUOVxCRoqcLKtiKWnclWdyaW81L9w34+Yl+DwAMi
7Botj5VwEF3GjSH58w1f5aadXGOv2j1OuoXOZGCQlrw7E++9xwWcnDi2/BTOSbZLZbB+J7aCC126
zv5Xqpd5yi8zDnYbcqM2ZUeui0S2KfVy84aNpyjpArE8/BgPgOviZL8OZ6N9dsxpJjPtVKwpGbqH
vH8KIAvXDCCjOgWmQBafuWBcz2t5Li43Op99Is3Z+UMEUCGdihTdjye+Q04TwJSyi+XnmJUkxOPQ
Bi4N5k6ckPCPqoSIEPjeRipZv8OmuH+TDfxJjNx2pkBk2PPgFedYN7FOXj/MhiHL41//QlHn5t8V
/LUJCY4IEALRIP7LrR8GjA5XR35RkxQ4AbG5CHr1TH1/krfH8HqXtjPVfkh69pVHjoZ1+sQNS8Cn
Zg2JArZ/tnHkRLlT0gQnluFHNr8ext3yjRWvc7mmdoF0eLpu1vHFlzmto+SiVp8W2WkQtpNW3Rb+
HGgk6YZa1hktYpIWlT1CqQw2n4eIhgkFN4w7JkBxOajAhJc9Isx+uTeZn8gEM6M58Df2wJ6/hfJg
YHcUHGDsx9MQ8HAxHXPKGnamkP/TO0TsX+tixBtmmKbmf3wgBEB2+xfveIB8ZW212TfWqYdB3EFM
3Mp5bLUORXY5az/zH9ZsfvflGXdj4/NtkuXdX2yj9blMcRV2foXTnTAxQUUXa01GkXHvj2kDUN4n
+HIUihEqyzL75tUYM0wlz7FzHK6SfndZRrMTg/Ka7/z2GyTsY79ZjeN79LWod7adFY9uz5ZbhM4j
WRxlVo3E6vAYGiZi9hsut+qnz9WUhOxcBk5CqA3bWugQ32xEX1FiHrqNP+tKUYQWxCwL4HZhWqPB
ek1k0/+kXhYIC00WmdpQE16Lhw2l2H848zqEEaT1f8UmGHnlWdf1tJH3301L+g8RVoZ+ZiqYqvzE
WkLRAtD76nQaFm+ZAXnyrSdRMD7AsowhGBZO9SPAR/3NQCjHbMpTivNa/F2AmhCfKwnlnEFgLlNA
hfp/O8lsoFJGeSTr4y5a0rD7iVuFfzc4cHE47UQgrVvbqd9aK6OtmAVtuB2BKtakDwqbrnp07Lr7
lahYa8/X8Pt0n971AUKe0DXa628ozCwYZyWuYBA+WYZZuwUBEcKOY19y1TLC2nPjunczvzT27zj/
iUzS5+E3CE2C3NTVGPEcwIYcgzzzl74OAt6b2sni5BU5CEmYGHyhD7VMuQALJWoiPdGwsYVVxclr
AxzoOcL5bUA6cXlXhOGZ1pFzuK9PMQpbW2qbkWXq2IfIiPvhijsh7JOtmOwAYaA8lwC+GzIDF3Kt
zt98yW1vXR720A4TonZDtSInkizYdyPlpBe9KDyVWli/bisKZZeP2n9MK4maEUjBRXmIkzdM6LQ1
AlYEP8M9Yuilw3Vzy9Qwrbkizy42LbfKGoRwI1h0Q2DFzgdKPrurXeK61vBj0XaO16G0TyGNeVTx
jV6bZlJla6/gtUyWj9KmQwm8qzYqfsPcYd84yasecdWVsAUAH0JwW8luY9myekAmCiNqBJHZtnUg
+G0O9aGOZlMcIHX8nRg4VUNm5aZdkvBh5r66zgorE9stuCS9M1wOI1mwOFcvyS2Et3lf1QclxTSE
hbbcfzx9oLcxKg6AEln5UzDkOsJaFTHdyClW7A/5kdGO68OI0fvFTdUw5TbWR8Gov5sux7OvVo2S
Fv6nDpBTkBFQ2V2FXDOGA1AThX1dpv2YcNKZroCeAO5Tgvb/sJBqBQ8thSGNX+g0S+XDVIuAEaGs
FLVjMcvFT8MNQzSspH0w5z5Vr94QKzouNsnKSu/fyfm/D3dRyxjmO1tx6tPf0owZWBY2uRg9h+KO
ElOuCXbCTwUS0Nw6uuynDvPjF4Ty2LuD9zPMOKro0jywaA+CHESP3M/ZbZS/FQMFeBOeYIG4XMBQ
tmGJaaRi8n3FjpB4c4ldYAxFhKLS34dtnwkQaS0ZFZT3Rlxg0NqHCoxIoMlV75dhpCSY4XJ7ba5E
pz9gFMwQ8B9rjji9GRtqmSUteRxHUcwnJlsRL0mviJbdA/fM0rqek4QWRLL1nIcm6PAWVYRDwsBy
SAeCgWBY+rhFm749L9y2wQ6QRczYtpoAwmHfknCHFaT/D/6qmFrf9xd5e2ZhLn5KlSMcmyHdl/tR
++FANSnMSOAHpQOX9KLPd7Qdtj92LpvLHm1JtUW7J8Htm35QS+8zOeD7KfJtRi4/wsRS/h8RphH1
/4JCVpGEMmK+BaH11BaAygITdVL5TVJmhrCZyjNN85dCuj4aaNs4bxtpxcKKuF93ds0ijAQcpbQz
U4L/V9cp57Zl/FGL81UQ+4w9B7Jk6XuQX9IZeHUcBglKKnfQec7FSIwgWiZ4SqRGF2vIFRGHBuJa
B9dmtG2a9ScjtPBojX09J/qtfxRMjb2nfHsylqO8VSMRb4O16VIy6NEfpTk9AJFeW7onnLbuyWy2
Am0WJNfz3gl3z9SGjLk8n+gFaZSkpFQ0xYgzgkQyVkJtGvk4IyniGBjOKf/LQt4TWdFGsMmj6ba3
kS7w9pdnvvgHPz7W26rIJWBmlmaZhGUIcl0CODt5ss0YYGQjqfsgrEz03pTwi5s7jJdxjFVm/BXP
iihU4KSeWZKjlLndG5OYMlm7eZwg5NvaeAGWdFR9frUKo5BVVz7EnIDddk0bPw0Zb/LttfwcKh+v
o58ldk310rbzJR7jtEYJ0f8vCeowe1+jmIakZXkR3IUlC7AuyQbTL7p+ZAi90QIVpKDTI4r7ELro
wdWWuq6tXzD752xkkrqeK6lejztoTbrqgfblzxDdSlD38jV9xlDkrH8I45GIjnMo6cNLvj6nixWx
gygmUxoJatefrBo6wfdZuYWGpjHhyZPXj6Z3XAUFeAjilg7VPHTulo6w0wpZZNXKuaBVBtylFAoi
AiFwPlLkRoX4FHquR2qnUDyUtLsQrrl+A44UJi7YG+dUOn4OnFNjU7/TZ+be6nXqCRk1YifZG7LK
M9Pmkccy3gAJI9AIeKNeXwC0ka4zq/JUu18ospw8kFJ6+PL/KYV3Nj2d+EopSuPDWUz3oFerQarE
UXdL5Wdz6Xb7d5zivvlOeKMN1kYzL6nt0UqlMa5Dry8FkOfJPWc8DaR7z8KVLn1Zb5lvadIE1paf
S1flY5pnZ+WjoM2GLEspARJY96fr3Xdr7dS2iGWBrpjZRhjpKQXiGv11NDLuF3ai6E0S7HbD7RGw
O9f4LM97f5CL+Buqg70fklsV+ZSypU/Idbo9AWOS5erpXh9CJJp7qm7UI4PpXeapMWFho0S6DXoH
p1TEYibYXDK5Z5aOxUjAZO5NRtxawvq4+bNOw8HnNBSea0XLe0VM6GrYYp5LNqpAEVsJ7onVztKf
U+tjq3mUHIM8GaDYwEt1x5RFnT6K7rq6i2SxDc/9KOwvGjVUyUqFcHfzr8l6h3tlhLqeijtmHjCH
a6Tu7wqf98MD3xvKsxKbrorUyTy12/dwpYWvoluRw8StRbYSV2PjwMFehHsVGuOE4vgixvTt7SyD
xFDgZ+tBCs8tWw7i7Dg+eTmS/YIh1k2rKepHd8cjAYa8CgWiAni+MVVQbthuzhnk4gOUxttBFGVU
CXpAoaCfUk+yIU9AuWJD31PbRocHMIVhoCPw6j+CjluI6VDi8WsvOI7SyxeDfQamKBS/QZn30bIh
ZJuYualXRYFjPP7tUAlILLdzxyaoO09WT1HLBjWpLmJ8n2tIvzctT9WJuvTy388e8ZLR92sxd1OQ
g/KsIWk8rKDtS3zlwtppQIaIl82sNNNWROi0mHroeGPlzqAYWHoPG3lnZEJky79Syt4JU3XFWDKD
a1LcMLhAGE1tyPiHLHzYuSDUL9dplAUBwxuGD9LA4mUmDL94/6bzzpR9Kmp/yFYRl83eKEr+UU7t
Dw9onguDd8cUkueE5L95ztPcgLEj8nFQXS3pztR2ylNDt4uxQCAtwf2D5+0W9CPtDfon6KujE6BJ
0v/QLITUGVv2NIRw6RpP0lan3Lx2mHc7m37hA3N1YpADt/gHNryeQiDw9SpxU1MopRJRIa/C0e3U
m9VVokJAwioYIyWlKk+G0WTIT/woi7YgrIM0yh7AyFA1HPat2WrsQMKRQ1QS8b8UGv3Lu4/5CU9F
+3RoCTlba4DIuhcL4wYKp8v+bb4fw5e/RVoOCApbcm9nQ8syo/yV+gCTAWYGeUPlHFsw19wXIsjm
3QNR2YwY6Wzo1hluLV2XwLM18/qKMZY/RdWE6mfmrJv0EXz68t/QXqLMkC1ZPBLYM22ozB8ub4sK
DRBLf+T3SgLsAjQ3k5yHGzqRvuDyDPPeC2vHJmT09cDJKJ5BKuZJT7tIBVrd88sw0Hy81M0+JiiZ
eWAuoTrfXT/vkL9Ad70egWhltMrx1TexJd5n41RhP6vqQDFsZpo6eCayMPduwxmNhqJw1W+PdiRo
EqID40uzYFjepcaiyLoHx2bT5osX9b6OSVIdtRLMo8OhKIs4MCjZrkyvAk2VIdT1Ze9bOd31dOz0
iJbqhAupSC1uK0ZKXF2Q6lUkkgZEd7Nnrn+2kt25iY9Ji3kX0HlWIJ7v5rdg8KWacur3v/65wR/H
LNXN3EPviP5YgWZr+3waUNjFGCKh2s0geNiKqtcxvekkY29fyGduZRJeQmhaZxDI1hhmYy4ZqFL4
jWpWt1XlV+0ZkDe0icgykf5rN5/cMv7vJS8ujM0//KsdtXmDOtC9C7pZNANVkI4L08+CJslwRqZF
3j8mf2bpkp0Ol8Kqyp5PL8pw3fM6zjmbBfuLcPgBOoyV6AcwJi/jsQ2ObUor52mzQGRIYiM+HRxY
y2ACUCetcyOAscF+400tYyRob3MALHtpfGWg007vObNLUnzazD+O61wMWVjlkLpvs+3P8L57s0Bs
nrQZPUQBr55VLcwc9YT4/+APsaolSQoTj88m2hakBlxJCCFuPmNVYPMgyYrNZRoIg3OetYmEBSfh
8jhTg3Wl7ya3OvN4brfSDNQlgW0ZLf3WKWb00ROGvieTQN6MPaiGpNF1GZXoVaFl58p9Sh8IxmZN
tL4FOOvY/vrsXd0pgUYXueZQ2SqXoD/KSZRMOLWTupvqquP/I6vtxIxONu548HanOBY6zMf9s0o5
1P/9Wsej0yKoa7xN5SrinFKI6sraG7n9nnm9YunEE2ghXoZmVJojr/NRchxjBZfo24PhtgkSnMJs
iD1Kq29vhSLkQa+LR/+6VhVKv0T6dBaE8NwpDt5v+Ciy41YRjE4Aw0y48Kk6yo4UvhcI2gaXwKlD
gcWAJL6Cksj4+hp+E6ezVwg5p0nXT2jNH0cg91t0csmKCLki2LwRQbxw7nwcHhexthBRcUgaAeIw
VB3xbMVosU64PJ+0l+HI+bGkLCIWA09zQl7my/2hdc5GZ77cPqD+RMVP1z6c+seaRtyLRFam14q5
Lx5i6wj8watH9V4g4trYYoQITj3SoD0FS+V7fS1yhPszLkVFlWU/NkcKmOjGOZyw8taE0g2wWWL1
9CU/poPS9nXILCK7aSCI+uHHZ4LDmjTIZYC54yd2fdLlnXvYVC/rcKLmDiVzHnFQN2hr7JeUKWTn
1Xuu+bNngpRC8nS/xmabG+Y8U+uVLMVzCEDi2ylEEI82R5axXoOhe4xvwNv6/bcSfSxoU0EizO+b
aocaQsjDCLpVo7YV8Rg4531GfSwaP84l9wcgkD+M+ezH6HpZKVPLYPn0H/YDUpxA+C4NtxXaQBFv
dhkalkKVWUuVJVo1TwYisJy1wdGKCS4gC3vbLHmtAGnM0SmRu9AGEMsOrwGBAv9yGqOnUuWPcJ8t
Wzt6Ii+TQR9+ZR9BiY0KEBx9WZJsQfsfE53ZRphLKcr0vcgI2HNa3YeQoIk8zNI3BvTvSrDuyrfM
mfz3qJArELbY40G4J2Z/cLI/92GxowMHHmVF0EKWDCGtuM/XxyZSKVDxivvcE9XUWI+uifsePizb
HKL/ctTBCTv9EpEzGMcuDnSCbAH224bypFzuaHg/bR9OqV3S+fG+G6KwEriWnYO++ALF+jaOmLeh
RwnA8qYX8+RP/ws6ue0iE6+Y/GHtplCL1zSuY2na3y6SID0VayLxF/Icnma/wvZOrkq5pUOEtJ8P
vdO6sbOMnByqHS4FKoxB30WoqKv6/YHklHI8qj6+xMjUNh0e+Se0UqHDdiTVlbhdnQVurbj0zSkZ
UKLqO/reNgv8xHozVXBgf4DSQy3YmGvp6KjrkpsRvtDTigDHg7Drwpiu7tKgcxgamAlKeelLeV1B
/XxsiftNhW9cIlNPQ6h5/OZbhTTyJfAssA1yEcJGsmJawRw2YRcJQQs0EdauNhWFjoshPbizVlS+
iplvDBYSuPkIiQe6y6DCwSt3XxZGmusUI3fV6Vvs4zIFx9dOJfuAPmWMYsinTHSWCCnnpoKXSPxg
U3QF6pzTYCHlhWsaJO7BVBDB0d9ylK3jSrzcffJjj6sbef6mYLPcyd6fb4TDfl+2jvEMGTwM1Vcb
Ea1Jz7wNc6IIIEj2+93YxZcVksQ7i2JtHPuEac0yb5GP+pmwxX7pDseaq2KlcWBjNbNNWuFpZm1i
rOEzxz1I2GG2A97dw9tqsXhcsi+s5ye8ZZMrZDyMvje9RSj00J91WACnq4Gw8Gm2YdnthgUQBa58
5VrvgMt3SsKQbLIFeRMCVLpw1XZ9D1wn1YAOtUp/3ZaZ6e9B6SYN7GEd4II9QsHZFET6VaJmOcvU
HfJrPq4tWoPJ19pyOv9wrexJOEb7odwZxpJTn9/HphXei1w3gYKx4R9hKfCKh6rWgiQ4yppdCapl
4Gtv2vy6lTXmxXO0UFo7JuantXvArKfnu8nzmIxYNntRn6A3Ds5Kx3k5i1EpvyeYiNxqM43pz/JW
qZqBOrRzs6syYkErcPZMjcwhIV9ZHTo71882EOq97q2np4ykSbpLFAznjsL7Y8iNUfxxuzAxzd0O
9zBJhaI+GHsdo4xBIhIrmThdfYek8j2CpSKWtk2UhVjeFdV+9WjIhZaplmLo2/1TiovR2ogthc+5
nlXBE50YHp9DLk4P3aq9YOtEph7VZ2fX6In7TbvSH0XBW/8/WiE7W/ThrEpiGyBKy4RBvCKUJDIZ
yM7DtCDy1MOwBJAa3NEv/tjTK1Kb8jr9o1I48AG4ZzdOw3+pYR5xx0X8mNI3iFU8JR8v6pOYjz8Q
h9XRPWlDgtrTiX+dPqVQGy17/E1cptWlNkz22jUKti376ygnqWVmAltVOAEG8Ddxe5tLUdqEc2Vc
Qa7E8daAy5O+T2GpqjxeHv/vYtLM/Q/MOyHYWl5LtRtPMdkYUtkIZHpMz19ym/afbkoVxq4kfcr5
NVuY5dH4TNPavziJG6MhRx4aZtMIiQyn6upcQOyQiT6iX1vvVenL2HOzWrIR5CJL9VRAwHQvyt9J
UiPXJiZq+I39CkPUQUKiXDgP9VFMMCFlHMWMKqT7tCEu1h4qKsG8pgMt6eOWYx63bgJwAnqEZSml
Kq6wuboYILgZqO7dSr3Uatw4MfQS3GzVNzNM/sTGZlITwmYEjyFqqCr+8TUL4EzNpD/3NKaVJcTP
Y9/BrWHShGpGppZ06qq7VseBGW13PjZZpFkaL7HVFoibnDrBm6L3Jjoe2NfedR3Uz+LPnRDJb3I7
LtuZ7NdlL78HA4nqmPcEh+xElTLzHtgBbRC4qvgjZuG7NdxrQ4m106DK6RQTyvvG4RPmZbr2gJSK
fkhYxjOclHpT8DMFvaE4c1mGn0ABfpJZGpvQ87mKDoJFGpS6FfaVhWX6BytBt78Nr4YDsdqpxbAF
Rfxrq+hLZuy1QoN2Gmu84qI4Z6sIaX3LtLhqI+nho2n2x4TcBZSZSzzebYixZ4M+g2wr05ssFNuA
P1lQ+8GCS+6DRTWKcS5OYKMQ7vr4aw2+pWuOANzNd8TiP9FEddYb16mXoCiCZg/9iqfVSp4tkA8P
34V/k4DMD9nXb6UdHC7WYloOTqivTx/hZNxr2BPZyojJ/RIhjb7GMRc7Yd2AviAoqkm23VOE14pB
TkI9pUyXjtj1tEVv7HmKj2pqPQMJFmOzjuZkTtb2h03NEBLKiMWO0+YP7PRxK49sLHmreXPlWQ0Y
e1O2vYVXHU3nnYz+fO2WZjDxToyEj97gRm/X75UOTMtywEC8qF+efenfc1/VamRUuKWcLo4FQ7GD
0CzDtFkQaqO7tidB4MkF0mCvoCiQRxDAwmF8TCcn2EQd7SwUP0I1Oa5gZ3Dk0p3RZv3IAENyyMhV
dql2wWmVrXfkYVxfHvD3BLxZy/4M35V/RMFtSRiYMC2CVbAaJPs5nDgN3qWbtjBTuzg9+0dqiY3a
f7s3Nn9GQaVtbpVsviO+T97fCeVgNngM8YDBQi+Vp8IVrNoxzvxbDGO+EBzGC/gc1frXajwGvJg3
fc2ocxBuIgJ1GVV8AUKR6FgK0P0p+mh4hAFwmZ3ClbkrNQ3QEnWx9VdzOQdNtKbpirPwEZtbSIa1
Zq5ooTH9DCb+QGTcPAQGFVA9cTn/5vQ1knoi8ZoKrHF3j6dMFVyzXW2nwztdEsQHSC4YvvLkkZs6
9BlJ//fezxyZ/a6xnmrWgq83l+Yh3NsPpRJb+Iq5tIbsdrXAExMUibY1AsYeiipMR342MFlfwN3P
vg3iJTxXLqYRjhagFjm/dMLPgPJkoCA7V7lNrwIPpH/3S/F7JpARVTkNifZGuVefWuItuie78gqh
08KL5uCA3enTHdSb6jqu3ahU3CgS3P+3XFMJhb5FESsWk19RE0aDw6lXwaiuillSRPVZt0aLUgiJ
VzBAphhBeE6a83IH9USDJkLH5Iwt2YwTWDjzv+iyhYRvVbc1fH8dzjios9Mi73V6QdCL7UehLKKj
4KneWPy2J2x2ubzNofF7z9vtc3YR4WFw521E4FGjTTt67LJfJiSaQdgNp4smg4z3CjD/q6BNwGOj
ywKg2k9UY5BlwR6cccW/ehdEq/ouYGcFFX05+zN/g4/+sNk+BGB2Wto5rcyTiHPufxVYbA+0ByVq
/xfwIdlPiDNczmRf05Jaaztp/2Gbf6E0QZbh1vEZgpPteqjIXLYxNg1sW28+PXlDbgKnM43daloq
CHt8UPTzJJlY5Ec9ERAN78gqqpPPE+e+b8SzMY2I2834YurI2cYPJZEGnT/R5em81dymTBWIy7e/
xgowy2k2rRYvfaebWN50VgWe9XDYHqxwIiFIkcb89UtvCIM8bfXzqIbrab+0s01GKixZSI+P+/9+
0PauvhUptVflJ3L0tJYlxRw0uWVsj6jRpRGX5WJCxdHWLpDT6Oa8ilvOcbuX4cpOD4tbkAn6luHO
WTgO279NJafjIYEOlatl0ggYUu9SKzrOqEannwsxTL0UiFDrcPhrgY3+3ouWsP0qG+TB6xw2fiP4
jdhAwXSb4VLzxYa00SiwkCa7faV3FbPpIBTXfti/vNYY+m/d9Kh0cgHTnc0oOrl43x9OCJTQWMnB
Eba+TL7KT2RC5L/NtZdKvaqTOFf7wWfHbY1v8t7eoaudNNpwv3b46BA3kEMtEuglpnuCVq67pDt0
pmiVObRTzOxfBcomGg2KtrBHBbYeYDPWGq6TfQBaaWuGHaNw3Bt5ULiR04e0ufAuxa/d1FNcMmBh
ugPnC9ijMRiqGikpIw1o5AIn6QLbjX4bDLgg4L8CE5AGlIoLarWtaIlJRIQVGvIM0GfQo6EkLIZh
PIHYtkMEJWFXV+IRFVD9xr+uTNDbeaWz0UYortye6/BB/Lgfl0xOcNULjKGumm+8k5OuhDVv1Oek
jvbOIys/S/SQIrQkWKfoq59ojKxQ2s/rcdEOIsDvEIow2ggsSGj+s9fr9MsjjFQi1SK7OGr9hdNy
dA2kwoAA2KiIx7Z6mTidCvaF0Ai9y4fI0m53AKep5EzpxCbc+zzt2nT6LCxY+oIwnmqXTS02W8ih
/uHJC3YIGO72SYBQ2dJSlLa2K9fCZw08rAu08YAxqORkqBZgcw5jWAgDJ1Wk882abu/hhC1n7fBP
PeJQyCb5G6QdpLosP0RRSTZCrf4ZKwTyU2dHVScm9qPTDzuSxXonIs0jEoIuCE9DwWQVesd96a/2
fKeYa6NSqWCAE/w1hNdz27fW5xGdMX2alk2VWUJXGpLsmco+B6q448Fi08+9LdxXtVWeeA77iAVL
WauvxXgji6VRZhkqej/x54qbWCjBfbiAXPG0vbqGjnjhbi9BnO5YkL1MfdLxS6gGI62cUxgvpR2M
u/D2Emblzjb2uRvzTpCmWJmQTTwIZKETZquklM41R5Mj6R4vF+YUvvztXqtJS10v/dLVT/x7ai1B
HR9u/Kd4qf2KIX0eDjJDFlkcMwKCA4KlIfF0xNsmoMshH7w7EMXydJZN+XCEtm+eREL9twCX3Qdi
baAWVCq9SehPj0iEYSwoixqtZz8SnJ37CboiwL8J/3326njeu+8+lcAGnEVKvnH6oIQy8Z4X5Kwe
KWq/70VVTXd495VO4Bnar0GOkHzPy6c7Bo3HnksBIeQAru9C3vWcV4krzQrtnEMTjM/wztkjpMzF
ScPMVKl0d6WATDtoZZMrA9SrAIAGSO+jzVnWa6qR6doQlnJtudR+vKWSLfmtR73pqG/lE9RlEiJ8
/KBc2lWIffSRZ2bJpwC+Oe0JXtzaZ/Net7fPG+DWZyCGz/Lc7svEX8kQeQkCyYYwglqNbKHIGZYl
1VYt0xlv2WflarQvWAfA7yagl3KXnvjm5MJZMvMyrekb2EBC4iAWwq6Ur1o0G3UbfdjjEXNk5WDy
TK1sAbj7h0xH1WcL19qBEgXQ7tuL5OhoNKm3aXGUf+K/ldY72HedQjVHXUklr8XaROxtWzcuapGY
x7r2p6nqdTKs74HPyiJWw+jWLYi6li/8bloiHbPYAoFyCqXzEqXEUH7Ogjt8bhEheu4h7c8kkqtv
rS+/9pYkcmo9e5Ip/KdmY8SQbMgcIYXCYuHwhfTiEWANLx9Vt8V2+KlKy551B3HYqiwYdDUT05iS
AwZK8rdSdINS3V9990JRkNkbghGMuabM78f4yQI3i/pzDkwMwaJEDlscRkUMusbMbScOZsPUzyDT
xXLK8PCHiPPkkiquOLoj9GlkfdVWbKeQnlzvCpr1SuY1p2PxRQ6sFt1AUv0kovQZOklLTBSPSag4
Bz4AdbAi/lLcIobS/MLmxN+OKusoVbgZePQQvr7/ofahaipELc+BmqzuhqpXGvZ6oloqYwsdbd2l
Po9/DLExlgnzifirCfc0dTJ7NkgoS6ZqKclSpO9DVCk3fHS4sSmFSJLFYRtnfwhcPQ1sj/9d+EJQ
6hPEtBL3RYA8U7klwZfmktkKm8VUA80ywfW5VK3eMcntvDT2mJZt5JZV9VcTL9soy923q5ELYmEb
kTPjDn9OWrlbDwqUO/yqWQOx9qyTehTRxgsCWz/NN6gIC1Pon+flDQd+jkhF4keeDEGH+eSPYYXt
AjL1PMjmO69kHgX/QuRSsblx8a64XflKYRLxQ+w2NMhnKcmr6ZuO29ltXB2Ll/yLimtWSFy1Sumk
n+IsxtltUsnUTlixgJ43uDBnF9WaCpocP/b1Xxk3HMaOiSeNs+JJw3KMmIGLuVqiaq4fwm1wREZG
Is8G41nQNxbQgfQ4O2mXR4P6HUmaF5JDLxF1NzdiRw2c3ts7Kx5iutGGeU+XJ7MN9FI8W6WhETEu
AgkbcCuw3+jao8dOlebbbTn4xej4yoKMPGggPbMT3D19xlx2lmT6CMZ4rwbi5POrsd2fzbMv1rzz
2aY3ff5GzzSPY0Z4MLnpSWLcp7wdq9ie8PjDowZLQE1eongDQxcdaI1S8979kCJN2DX9i8mSA0DQ
IH5pTBehPf4lvL8dCulmo4ZYngFWxzINzScznJfGWPnI7jrMfJ0Zx7FbmA6xgrAR7WrIjPdGTkZp
YcWKwOciT5pHIdAxX7zcFhRrESHo2I2gWqRldSSzSTKSFqqwEGFd4HCCeZE22TRJV55lEv8ijwB3
9BQ1qW4GN9oFGPJ16+kBTQz9LqLb/DoPz0dpHraA9tzBsglNix8vbwlZ1zxQzn3Hcyb4v2aEoRVF
fhkgCNwfSdvJzkHO1kEYQMPrPr/na0VcLtyvnj/ZWPj28DfrqtIZS3j4i+aq1Q09UM+plu4a3Caf
ehHuRQXZ40h54lzM/TvcaofVehEV97kcV9lwxCFSLj93QKMg+YZYSVGv0LlsqcRPEbAlx93PXunj
C0Zt66x5wEqeSkq0vcKBZFmZynO/2ZpjGWLk8jpIyOAq1Wz53yBo3DxD4zPL1KBH/rbAEw4dZ0fx
eVZFrM01QvBwjdRU5GSHPsndUVr6s07CKQ2nyopUyiePAumeEFMOZ+84SMDG3bSnJWNkCzX2JGLE
IHqFTiG2sHMxKadDStVRfQS08jn1uRNd/pbdn4A8c9Ft/KFPROIjyjlqGc+n8u7D1QRUtOZaKl/C
Ns1tGE4Ww4PJaennPeTP9sdziSPNi4SBo5qskSR5wT6ynuOpmBa6MzLFE1PzqcCBAT0iaJIMn+nn
pfhZ6s8IM56uq2b3/3OgemCnRNME2D+YTw9GwCTVJwVNw6sDgEn84lssd6Y/KD6Ky4b0dzcXGony
7A8V5J5QIBDtqREdSdRusj6DBKNS3bJ+Pa1uLZpm+8kiW3PQQSUNbjV2BjJzeWlPiJMltRXglr1J
9guMFJgZlrMiD0rqxfU4NEaR6o7ioriYQ35lnk96F7pfWuVXkldJf25BmA0AUHJq8xf22pfXsLYg
w2z11ZNpBYmM4AU8dOWNcfaEVumruQ0eDLmeI9uutXxB87qrGCW9lj4TZ1lWFpq0EL+sbD7XFq+9
fJZjRxRqAfev2DBHkPdULHI2ZdzUQXP7RsDXRPgvmDWiWbICmoVWKIVmeah5vUVPsMrjSFCs8UDf
BoOArryT0ANCTE9KmnayExi4poBu/TgXZDHZOzpmX10eLZZqcgpsQEVVmIcDJ8hMSnWPwaGJrKsP
b9mvNxPb6Y8smj/4777oCEY/GQqmWgTk9fsUv0Q/UgA59xibKXs0W/xWqbYRaKkBuHzm43qwOqbb
rg/2giZNF+mKxrhN0Kr+rvFEymA9VDIoYFoiZibVwQVBBluthd+EQ6NA3+uvhOEXlRWUgbcfnP2+
y8vEKaiubpdIKo8HHaaAYA6q67MdKm8BfCKezMeUQfVjwWMO4DhrNEl+FgnIL81h5J+Q7dOJci5o
gBGMfCR1cCQI/JRiZGhHKCXn/KiP7FuW0e12nlCxg6gzwVy0QICFk/exvZdyCRhSZn9DEZTYNX6d
El68sOCkA5koUVQctD7cGOWFN7MpjztjBsu4WHytB41acYZED3HnuBVsWtG/QpdpJa84TVYS4q1C
x2szn+6+EI6KzsX/IGKCQsTSPLdCvq/PaRJtCkC6FNG5feKynTpb9Go+PZMHXR/VUfERmEeSPkZ2
V3TBRuFLeMRc0u6HZvax7/cjlZrjJftBtHpi2fAjnKVfr5D6JE/rV0iBoi2SDOZiZflLWdESIRhz
UmRLrH9F4k8UqU3oFr7W461yO2Yefe1UIFzJH0uK/gq9uY+gCw6tU6/cFT3cTFt/AlaNN4uVof9S
Knqrg+1b6BDeWNm+5eG6KMTyibAiTSRIA8agBDCh2rM4oE72SJX6xMaKeeTg2Va+UqaoSKP9+zSt
lTO9vgnrbpnm63Q3rXBsV8syzOKuTcKTsUrimAMh78X244cdHGPuMXt6YcLaMjrmG1jcXEBXTYyp
l5rIFdO+7T5NNINtMI4EMe4nU35rwUWbU5u70KU8AjRxgTOl99KvwGz4+Qt134O3Fw2wgooDnsfy
vC0tVnea8pMBTPWCC1HWvHX+R4L7Q0/be0qsK/iWx1lDQFij5UeFkBfHIAsKy8kZzib7ab3rY/4z
6MZsqRivIobSm/MGimRwAQe62JU+oLWHISCNBHc6W2ibmyg8pnFzq14wxMQ231EnwPmbWGCxgG/X
Y3erUD8YOASlRhM/6zdiTU9Cx22EQHe1CDHDpwbTlhPPIwinq3nGbB663Cee9CRs3sx2SPazXSnL
JL0Q27YCNHJd8vydn0lB2vFWp8Do1TGH/wS1qiG5+ag2RN+3vzJVde3CdRE9gLQgz80SFmj2z+rl
R2fvncxdiuJ0EQlQ2ETQijrARogCtfqq818xkCQGcQbXGnF2y2xSMXc5bVcM+VJVF0EKpdP9EAvS
IHdTGMbP11RyJd7R+oGESmkejDUvA/Wp1kl923KmZtFbXU2GOqIscwpkvM6QlzKzrEK+p09wcqFp
f2u8Vc6jbJuJyLcOvsR96an/tBIAfEj7i1iCDfuOn7fB2Zp4JKDeQYietetC+A6it8o+lATLmOUS
FOoJhwP0XyTCuAHKZqKwN0gp7Xv5jVUJAF7rh1j8jOyd2udaPsa+Q27J3C8iM9DgY76xNn9KdWnB
DaVtaqYLiIwzeGE+QR1hJLH8JjPiiYweIhIKQm4lic6rIlDFtk8I30K17cDNo/Q4blAXcbZ3VVjF
I3D9M947/d9LtGiY6SWGzWI2CJp2+01GXgkwH/FjZarLyEH432CWIu2SV/DkyyEFRmQMDIByKW4x
xAS6fXVGLCDHFWbX0EEtzHk9YqxYgm+uDdRmEoWGP85M/VGwKF2jH3ptL7PZXrQXIshowOUC79wX
Ym4e3IgVgbDpRPJ7ievmxvme8kEpaeHFnkHMhEQC11E6KYwAJPo3+29fhGEPgBupeJ8XdvbMmIAz
ltMgn+w2RMSOQ7PbBH6tNDqF0d4lY754F+saR7L5KtoppGG9FBLY+y1t+1OzJ/zIE6B/bV1EQM/g
RZbaARjAADPiiuUq/IIE03YNlj0dT4/0jrO93+jknUKWUAI33nc+htCZpNiMRSwX3PMs9NSgd09Z
mXRU70Ql41V6Wz6EEZL64tyKDPQYMLWGzUJZCwWkLqa1c9LE9aE8sFI7qByikBhmjo4+iuidf4Pl
ovU/85ip80DkEFmEPb7GA7gizkc5dEmE8BGj/8w1mT5Pg9hHRIuvDHbvO8j3D/kXj1+Vg1K0r7A+
rEzct/JK3HEcvcJfXhXMmv8wVTYQuDDOYfekoNk7CEJe3GrxuPZfKFy9twoFSsVxbcwRiEnW2r62
nItQpbkNo0JcyFNenI96fWXezLGEhQBnTPHSlNYjIqwYHzgLLm0z0md4Z3/14sK0n7nFmsO0SnOK
B0ZgrmEjKo1SRKLhQfdmDWJFY7TnwMlYaNNmbKoqecJ0u4XM2fh20Urb137/jitrzNu9R6VPQ6r4
WdG25fT0kGlJhWxDF8N8baLDcOL0NBmZXo4AD5at8h7Ocv5KTy829J2faLPergZm/9FjRPxG8rlH
UzeJ9nJiSb24ll6UUitJXOLabBrKN6lRaLC3ytkCIKu+lVT6vYjRy1a3dAUjpOZ+Vv7hauESQRs5
Ar0rUPU/1ItBtuzNHiNSk9v6OVSZE9RU8rpQ1pIlUDrI2T3wzz7tMIY7KtftZ3J/R5o//BTzDuCv
tgAXjcEILSf4+5TiYtnjnn4iCiJfTcL8USPGEIw0DxDyLuhkzpautnL7JyZ9mlehI9+f4jQ/MR2f
aupTCeZ8VrQghey4xLho02Vk+xPw7ewFm3+IWFoZiIPG2L9dlHahwKqqPy1HE1JmS7kt3rvAmNIX
l+UrGoi6Le515MkUfKqpjPGxA0cvhHB5jIyqueCKG4KHs5iGFbvUQ4CCuxcGdBcdQqsrMJuF6tH5
ofnEGY4JFrakTJF+eqvjl/TmuMK5yJzq9hC3ESPTVTnBTkzMF2RDEZ7TGLVRf7L0NzdBmGT6MTdT
344deVMbgdVx1YTCIgvr/MFLvV6Gj4FY6WhoyLVyP+otgCLHJA0MeozfRwQnmKorTGa1rbnLkRYi
Re0I3It3bmBdU6SdvN7qhwht9iY8Zfl/xHDNcLTbeuikU2wnqOmUEaewLPfC+N3tWUdrrimGn3n7
3zzRLz4BwcNyEdh4U7ZpPqvml9Sk8WWAs+NLljQbPJvBLarRB6C7lyEfO8/SXs0peDVOw6rEuzJJ
CqTtiCBPq4mWgfTINDyaoW252shnEAfQiSh12Y7VoVedWwtiLnQg/9IqmeSb0drWQzmPvYfwputD
+sssoOd7tOiay/qdzFDCwhHNXybMAwABpKo9479a3ZPWE8cmCK8k8Xx24FuMAJX17jnt5pg93Cnn
yPG7xyj8jyuxA/75Olc0i78B0/GBaqBaUP6f+gpOvvUPfMmy+5RNiF6ms8be052NVPp98vC7kOd+
sapWXEVqlRU7gdYh8YnW8wOjBBxTg4k70wVvDCu02oe4iEbW83Iv9E2fFaE7LixxVLkBEIkcUcu9
AQcLkgwF7qUMKvAeC+wwLLJoJzsA7abE2P9fP9MGEQP6wQrmUE6lzxxOKN4NaMdiECBYUYu096Jl
CqB+SRTHmpLWKKasvItMONydpyp9QCQcHsVEGcKUv6Iyc2XcU4VRrFbBAIMOtPOb21Qou7xQzFl6
Bt1eIFSmlhGtbxFAfSqnKz6tdFLsXrArDvIvPEWu/enXITGe/z7vFVaGg2KwFPCfex8R1zxyMzc/
94T5prMG/KTYajZqlD+YxTT1eHWXPOGlRmUP8zpvmvGTJ69MKbbOdIbjUY4+aATiGKq83HdYUf9/
ppcMVkxrHJC/zv1LriYbz+6tGzU/y5stP/IW0yrwwkFlRnNCA60+M2jNy/2floJ7M2tjxcyjoIPu
GPeZvSbx7R5bsUnoZ2C+lY/ZEr1TFCaSgrVRw8n1PYr3NksLUcz1Wv1TLgLg327cyUnkEnfbtQce
h9oMaBa5nWaPl/CHQ2Cn2epssHkJY0VyhBa715Toymzk5gKkZUttHqcrltNraDc40PVtqUhHfdb+
Wl27yQaEdI+Zkdqkxy8QyqGqeMWYzZmt4/7YqaXv6+ZKWhhw8TfD+e8LOUR1LerMHeQrkTikEPlY
BEAmih8ODnjUBzbJJwyqgRXsUpjdaNXgxr8Wscl38WAt707+mx+cucWbQqdBuS/AkG1B0dH81wss
AEFT3SnDpS/KIbN3wcMeE3pnIc7PGV3GvxbXGRLjxAR0Zd/Dq+OOtNUxHVKWyHzrc+Ku+LSx8RLQ
Waqy/UDkabHAKAxWGNPeAENwJPj1rrW8WtOYQv7sdY736vTWdJt8OU2viSW02g1wqszA8zur291d
Ztinu8c5ucWU9ZS1OvCKJoV8WNE02uSg6nEV87rQCGzrWL1DunBaii8YaiLwAC5PA401l0J5yFvb
B8fn/ZQJH576awpL9Nytpfszg9pc8hmyWgCIXKwbFgHhf8H/TrZSVX7ihRD1TZOMuGjDpEziW9Pn
rvk+G1C37qkUK7oO15+iSLumCZ9n7GAxARP0GxbZEau+gElbR9nGGhbiFVwyekvSXmBGXmQrsWIH
32Ge+h+M2Oj/Jrah8UF9wnaYELxhYiwqyRRCKzwd5a1tUbngvUtTSve1aOrldoyZjblvhBwsn9N8
k3kaxfupagjIzMIjUlNZgjc/yFQ2ZY/NT6FzF5Jo/zrkNIb9uxbfjACYXRdpHl2pyIZBQqNKjod3
EEt+qm3AuK7cNSoF2k/klMukQu6/EsSKOz5FVsENd4DnpwQEVT06FIscUGq8c647zXCwczLsqD+P
TNJpA2ZdEY3/w12Y7h/eQ4Nd1MnIP4GFfTGi6OuysvagdyyjDPA7L1/33BeuU8lXobjlsY8H2oll
eM+h59eQ5FQ4UOFv6oFH2sH3p9Dodm/S7t8efKh0oJ+2vgzYccrF0YaSj91ZST1dfPCvaXP01ymk
c56Zx14aUvrs6kK054hadxa7y02y5iat0tmrQ9MQsh0BcMcPuW6ciX3zZpNNKBDW+2MzD9HSvZvC
x054E9C4pYbYb0YEKNXWpJLa/CxF9DYWM7k7hqFcqbZJEj5vRf5+I2O1FCzxI05TSjlNqTRKUs5q
edn+sOGpg7ioIx0TQCWhOKx5Pmzog5Ht2Ak6CD4OxZlCjsO01zmuN51AvmSOJzTqgxQHMYRO2R4K
W3MU6tq2Izyl638wX8MtKAaykaRT74ayl1ypy/ao0AQRoSMPECbwone9F8WfVkyJDiPjboJgKDL9
AnptEvMVHJwN/m/b8QDPERDzlIiy4rBMB1/27LZVUnIKfQccrNWyoSIMo47gZPOHZTmDkZ3DqE9z
HGU6oW7J7UBZEIoywjRDlX3VEi+riOaW1SFmabhPXgR/BBxM8jYSm78iMkkERMgMg5G7lN7eTSOM
59DX16v+yRUlELN1csVk/LElXOfX80eebKyKfd3YWts33yEvxoBvjCCJXEtjBqhgMV3LooPEF01h
LzveILLlNr70nRdd3EiSjjxUkVI43UPyL+WSXZZaJmjOClpBPfjTDZswOWfzoRqePFqIP99qhz9R
sxFSEYnwYDwax3hhfDfrMkCASPpJIaxaC7maFWSuh0a1/qCo0Qn7/SVdVzPcGVN7Jnv/itPJXXu0
/BdMOwERBaNyWxZlT3l9pD5yPlo+Vh3JvyActkI1Tilzl/xhvivY1r5AQmKKEBMV90p7jb+sVhUE
f+OiWB+hbEzSWMyPf5mP8SBRDQ/5k3C4GM/nW3jjz8D6ox3EiGaV/XPypjNIQ7j9hRb0ViAvcwti
Y3HGDJYRcq6SEXLjtoE1hz9Bwqcgk4AX/2BqMP0EJih2XIduDlPWebBuWh3XeLSX0VFe1YIP9E7q
HGA8z7ioIK3LI/lkHZQDTjKZWzEfw1lnR9/htP+8BYck7iA4HLFKVNS+vA4gwT63TK1ZQdUq8RyV
qGpCfQkEZzNN3Qe4bfeURtBPF50c7gQwTC6zaFEnJceLfYhb9hADu3Aqvv8myVbWU6ugsEnWYzSp
+Br9KqLyzG5H/mUaxZzmvwpY3PEqghnJqGCv0OT2y9zDvYigkVg3gN2XkwhPM6btiNNqvIOVLkwZ
7Ch5utTfGhDPTzC/7NqT7Ny2if1mTqIFcPQGmht1eZXO2X+cjY8dATXxwzUFxWDMzcVdRDfD+nNe
hPP9wC3UVkK7zcSdQx3wGTvs8clr148UOAN5kqoJC/2qKH8IuRwOPsaDHrRRBFr3Zi8MoAXp9l37
5ROGaLbgMkuCIb5awK23gYGbIR7v33L4BKp/Vq0A5axCKDslHBRX43qn5aln8EfQPojvE7560daW
K+k9LJP6LZkPnq5zGyHV4j5W7YIeBXbNNPZIwzt0keSNQH2MCcWb0vEUU6iuw95fptJVvLO6l26y
HAE992bjkMV8eQrJZTdf4nTulSQJOXeLem54MRNsEWphN2FYU4Fh1eVcL6imzhOu9RhAjqgQ1sHX
nAnkvFPP9L7q/vNRYojb6znSwAH2RACPJkPwbd9nOxc88yN2Rthxx7LTGoh5XYQD6pyHqwHw3gsf
YQhIiCPhLWUNa8YjFzTMm4ABGmVnPQakoDR3Wkqim1uDF/f5QaDvI/eDmIPPsCZuTRVNfNy9QpmZ
0UZaSI8zoqIARLFUqQS56LCPrwJyWsXANERS00uhOKFE5r6TsGiJpdz02Rxr5hAjtaiYiEjlUwu2
EcyL0X4ucLMNxPzXkFNxLLMY3/b8jG+XB9xgfeM2Ifyw5Al0LB8MoXLQtiT7eGztmDuwk1WX/9na
SobQMXvTsGQWsvQHf+SfZvrk+ktL2DWmbFXpnlq5hAZLsSZzcwARWMyE1Vo9TGwPn0CXuQHGF7Yz
AZwaBtuxnhPxjeMWvjs/W2pf/N5jZlCW2PPG6pWCm+dYUln9i8hKwDUrXFI63P8/wBy37Vmw73kP
Sza181LTmcCkA8+8sobC5WsetN/8xjYwWgSf0bIQwVvBtHfFhUoR9Kdj48DznJ/P/ErElfXVTMJS
Nh1r4c7WWHfcoSwiLY2UkAViFcOdE9OVHp2koo2w3naKGlqlPm6SMbzFmMDXIMTpmmdK6OX8tQJM
hqnszfm0Vao9X7UVL/C2T/ZwzlhnJ3kMGxBah+b/rdk5Za2l5wAejJmN3rRUPbEaJE7v6P03BSUn
5hAIcHcGc1wYR5MqKUXVeJEJt0cwYoQzYbtMoakFfpLqWI+ImSv4rIb/j648joZMLKXLevcStvmi
X9MSfnLzIaO/xTt54dvkF2Lat5Nw/s8MN6dtqBjcpT2rr2UJBhiUmo9NH8hrZ1kNeolzScdvhLQj
MeyXzxK7KwCGKt0fz2TBfJ0kWNQwKMKNGm0KL6DfMxf9Y/KcWomY3F6SEAFPc2TNpuv8qJxcn+Lw
eKHmLYmgFZdAx4LuRprDEGCDMm/B+HlNqWt+tVdWlF4wQT8VAyX434oTOx2u8ChYre+boc6s/93S
qQyCUL3mItcBziPU3AU49Wmy3fZXG0jFXt3RSFO7JidYhkoX+KD4R9txhPUOYOkpYRHMAsfPw9lu
1pxZNB0Wqck9fW5+DUhwDLzN3kPIjDQKS/OnAmZfkZrFF9dzJIXhdH1g8Ex/akAw1ZbmyoitkN0P
+ITPT9VWcUMlJFqBXwlOJB3B8H/Icr9rGQG4iOnKM32TWcO/qmEa7SdVqoXAwhMn00Eh1Ol8UIAo
UNionpH1JHGzl8OLD5IpCLCG1DI15px0WfvdaKpbBpCOB1QdLHits3VO0KpBElEn8MCH+xsZR13u
jedTYhW+FIAQugcXdvfJoXj9RSyyGBjARBwQdsaWw8nZ6RW6dBvHaNNr2Am5g412iKmPIUwEBlIs
dHdMxAOf5JSB2T4WXP6JYyiy7CCRAU10Ud3l+myGiaegWah8m92VxfoHhuhrqSBdIOEI0c0qNP4f
xLnCesHyyjfhbAqYdyD+lpsadmtI4rfBt+nHx+KAxEU4MU4j2rMONdk59cyPqBDtbCKoICZdsAFB
5vrM6ICs6Hl4rjAR2q1G1LHg7c3jonMY02B9C1G6ly28krMfIzbL7kCZOkwxCU6tz3FZnprmzbeS
82YJ7gWEue31t8MMUyYIAAuZNIqx548PlhFBRH55JnRstjz31D7mebOkcghmqef3TTo4TenKKWLS
nta3kcl6Uh9wbF6gga9M4DX+jSZlvHuLMIKAqsI4xe+/PQ3rIVNL5BOkgWBohxANbaUkCadDF80f
EDyb5lVLTLJF6jUoTcainis4BaTylb9zJl3RomTYnsJkPJTU+UnCMJpNLbq9gKH6jr5AN1GUW/ei
PMw09wsTzuRq5ZQYGOgt4HRj2Wr9CWT2lwRRsZ6Ybxiv56A9Tp4sFYEFYy4W6sF0L6LfEBYDSrgr
KOu7ZJwKCGZj/uDyj+MJBwunsxXOpW/qNO62Otc7D0ao1M5Q8ebnlf1lH1dnrTrPRFtvhHc0p2NI
mhVMFuHWqBRy+yFA2qJwL8M2nGAiU+iHT330X6la92d8vFLrRuPeEuqd9N/5SyRqqKv8APxJzd3w
DUHUw5HIRw5NH2DaJymRC9zZHQEZfxMe0YUQG+SH262PQmCwx7F3UCGFIJQkOS0VE63UAjQI90nM
rcfba3wQR+EnuX4dtuuilTC/xTF/mZEaj/YW+s+KB5q+USM4KTHklySab7RRstdQKrq8nEIV+5Dx
ifob0Rj2ULL64lDOVzDl8lIbURolYGrMVeWMNU2oRAz1CAkmALenQTOR2BFYJkKmFnbOqGBlTP39
ZnwThKoCdskPuT2lpsTgqqJcxD2g2CZNTbW1/yhaF1+6lranFphmgcHO2n0UScPK3aayS8u58n+G
FLeNsVb6hl9qlayNEKnNkL2C3Nh6vVFFjSB2Wkr4HgQMZv7LbdWnuMT7fqG0EavQ3nkqijXkLgvY
3FqmLPF6xoWELxsGrBswYxTZSaxhz9c03/FR7U1WlT+gMxPEzUDz396rPjDnO3YUuzBlNzgbdIPg
ZP5fQvuPT1dyUQHzK9Ix8efFhxl5BwVmxNLaQeoWl8g3+lb6HRRuMXaCE0kfLpmtGagQns3w/jFD
Wdcea1np950QiWE5kw5jYHmcHUyOMLmcZOPwQ8cTPUymaP98LHdMxDIeMLHpyStMk2hml0K8TYzU
bgOwjTWCUZgVELnFqGfsFQsoyPxDlyY8wuXaDj6/n5m9JVPeZm3WHO26ekaVBpurVR0TGK0s8UvN
Fma1v+Ks3AromElK7eOK82xM5XfBHr+YrA/+CaIGfW6tsj56QIOpJf7LjX2Bb0L3tOFgcCagdnph
x7bgSovBkZrBhbO5YeVoueSCkUqjug8oGFjyLR2HMSw4Hxt9XhsHXD2g6xAU3a8bCp6clQgp3ZEW
a18hwX+u87zok5+Q05bdiMTC73kHhmeOSv6iyqetlmnl5xu1Gu9xuh733VUnaguhkRGvSWGfqlfP
VTqHczCdgNO8jSZLNfl3BNi6WLwjcTjT0in4aGyluZ4gewRfyW25lhBoILDRSOR7AQwHt/8XSdvu
DPhuVpa0vWXZbOvdkXhgNqfj/rjPn2CdXBIZ0L/d+zLmKKB3OU04RYXd5FtW+1XC36huLvzdRh1j
Nydp2TWVn5Mm+Hz3XAph7lKVB74rfeWzUK8+knYKCgHXMU3u5gGUJFSHVU+UK7LOQBOnVVnKPSl/
53VZvPKSDxp0rB/wwKna2VGu1+c10UPqtBm0YgV95tHXRy5851dVMSnzndk7/SOkUjAlGnVK7UL8
+4Fhw0qGdUn2Rjg3I3Nax4kBfZ0WT0DDRL/cTaGFqjROgKLS4BBtnR77fournHTUKbD+JC017SGM
iQVH8goGXLlduxpA/kRjy9xzT0XPMtAKrRwMqZmzp15ubZadBIPxJSKVx/o8aer4te6P90EudJ38
83cqxzthhWGS1VDDIs7irx8emSb+mLAL32jegAZA+pbReVlvbx7YXYwOKh5BNhb+ofgUvtzUtj8M
EeOr/dksWD+SQD6q1la7HBOuhINdUWcuoowgpG53SByn7vBq167Tshmp+wdxnMwQtolg6w6psiuI
gtVbw3Umq0HjB0RJqSAZUiXbD+sgtmuBXn+mrh1bBudVTeaU9YZ+dP9qJBiLuo95CYfLYuQm3zQ8
jqjLmJn/O8fzb9sFfCkJ7aUb0ge/0e7o6nM6k18sB9mBd6566RiCCZt5NrsCR70+1Vdo25cUmQPZ
tAiA1MueQkAuymZEJ/OJY8kQMseRc+MaE7w7DwIZRIe1cgSPEVWyinG6W1Jejovfrq1EHbLks6qm
BA1Fr3ZcwVyGJ+95GmsLGeQOFFTf8oL4UR8FPIjk5POqnEsNhRgNOEwTUple8g6+WZm1bbh2wng3
ITodR0HY85BPDLSRTlKT55ITDiQcRZGD2KeygLSZTvZ1ahOkjVFtEy4GTYcujmOWapsz7kAWln3n
jpc/7bgUHElAy8csbWbDSB2gWh1qXxMw1m3s8zalCV/7HeYZJ0zYOEdgM70ipz144SNfI5L6nWZk
hCdZu+1RJG6HL78Tj0cUYdfK0QNjh4FyJrStrPFbc6SRJ2gwHp2XQxGRRlZDUjlRUwFs5T08LAys
PWdCxmTF2TDWGN1cb9Lz9736NlhAihTFlnM3u1ES3kkyhWWseQlcTl7bM1WgRamP2yXb6C1/krFb
5OnJkk2w2shTcKNLLXQKnsZUnxcWh7NrkSwMEX8QTQstrAat6aaJdoURh/x+v5y7nHwWilq+iKgu
os/xi5lR6utj7FHi7rw/ebnEcvCH9u2H5r6aoJ0VW45WCnwkb8hX5qpDxZy9/8ytglruGhaQh9Ns
9bNe78/0ItuBWVYFC+GGdcAbRyOyZ8K3Fc6SiWE3kGLkLjJV6KV6WoSbAki61Eh5UxKEW8obNJSF
73BocJ9/I+pjdTfFTPvZwYWUesB2Wn0ea8A+b5uxyerqDxiy+ZYp02pCQBPaMhWuzawkhbq6n19w
UvbMLvRbtpM09zLGWub/2XhZ7fU52rqepARSq6KRbeON7UqrIzoWaRxmaakvDFZdX/mfUdyP2PFb
6TzSCAq5fO8ujXbNh5m8qzhKJ7gzsWOVjX3GBpq4mbfS6Vbf4CzcfWO/yqX+ftiw1B6VFf5DIz9o
YyUY4v66OVtdaU6YrvJ/m0QdYGpicde/SmPZoIxkk0jvJg0g81hIGgXDHgXn9Rg1LbdC44zmuM74
1mcs/lUf0DpQqPFarkGqPGQHzfpGxlGopBzX4p17nGLreRRIvuhDtkQtQ6t53lbuNaX4d4uA04U1
/za66tvQWgTtT2Un6yRAKP3TmRzTvSCnYyyxzxK9jA51OQM/QicuzMlpLWxh6rl+OCHI0fnUspw/
QLV08OrA2KK5XSN8I0jvzsrjLDsobjGOGZ4qfe1ten4ixBqRDZJ3US0vb96P2JBFb1O8RLCn0FwT
Opm4drJU2tRdLVutfAyLtU4Y9eHZOs8ZuBAL7gEH0MnfSHBJv9uwaOFkO9Tq1zLO1+SN022893K2
TZDluYZH04PR4MnSvPmcizjvPX/qGGtstjzYWh4Ltc3obNs4wcXfR5qNFRUJ9OdyDQpo8pPQEoN8
ZYRinEWOeDdBte88PeZ3BCn70QBhOx5oF1Z8roS48h8bL4MR60wuwG/qwuJR31bnp3vDNsF+kBdi
D0l3fn3DZPZNSG67t9yc+3EWr2JE26q93UYIjbbDhWPV1KNukcLgg5AJXhtDaNJhq8JkUrDVoFFb
PmEv2IYHNhI7/BQMONnYYN/SQLzGRSWxxX8fQdcEvuashiDoCffqNeQX3zwsuiTfW184Mn6uKAPh
PqSi1TV/B6iN6XlpUAzXw4m874urIVCb/5+ybuYsnlkQKLzRWGpBBuVYQssNpzVuEc3Sg+g6WLt9
cO5OhtF6Y1eG4dOk4DO55SJQ37PZZtCV6vbpC44ODFO9e3EluIOaM4QNKS+CroNxwz7JnKQmpL1v
8H4O9BCo89YcPrRWcz+4Jby5dwV4z0YAzr+BNd2flblhB4AxL3iHZicl9wYryyyXej1RDVvDks5o
CG1aMnqic8S+/NzH92nzq6KXH34Tn1RgAgTOngoE4otW1zpLIey0fEpxg9CcVL6fQq/GYbLRCPmn
radT6eW4ESom4yM6qtlE490Xm1rntMvPpXFBCMQ+cnTcV/ckkpHXzkLfq95fAAUtEYfLXhs5Dzc1
krhMZQOICRhtMEuvEGgRiRTt2iJsWYfeNYuWh0MMaoIXVR3CaHCjiocdOSoJfkiuZzqL8XMDCI9O
H2u/qIAZedVLKYUpZ8WVaDG/WcRTCj7nixkxUvyqGh2z/gNesP7XvGMbAwLh6ODGDw+RZpp0SxiT
SKe5xb2CxC6j5iMJR9oeoZ6DHMb+lJ6pStMORDSpvlM8/ICuRdihSe2vKjDH3K4ObajDjs94IBRV
7CZJ47HcOrk1q5IeplvhTwWxTYBWCHVS2phpYRNgDuOnYDKMGt7qze49gDUwZtkcCSERDuG+fve8
+ZCAwC30FGn1E19yqZ82BF4ou2nnnbDz8ELO7x7z/3O2UdR+WHvjfSm7SwSDpVboT+8VTXrPIhof
GjFyvdTpjEIyv1T69ZM9dAHRlD2W+X+3668prYrr2X49uHX07AWuNLmVsCD9owAsmpg9L1R2Ky8O
EKrAgWW5PeT0UoIFcW8IEkQfJPE8uKsWXoRWMakfX7gP9omNw66IAtvhiFs0X6drQ+X4O+50oKtm
zFfpg1rWcWzuDbTUK4M3TyeddfOUjSmtk2ThXFtSA5R7OStF7WFwyf76v0/iXRPwXfYhepeIKfXW
ak5i+jweFRBnjo18tPN0lC2hQjdRF4VyAyml1oFPAW+ElNkabqOockHtnVq+tFTveRDsgz8/3WzY
qzmmZ4/tosNM+nrxyNaWUVIZc9k8zEjLSTvY5HfV3tvAIsA59ickQ5/d+eG+cx/dpuD3rocOj1ek
5cE+dYCmkuieqp/Dg/vSpFIzPIhwrzEVEB4mEI8QaZBYMdfJXvgbUmAnDoyUhjnBOD8j4SDko1H3
PMkF/MNSzsnYZNGn2u+ls8ZdjE2KMvs2G+W+x+vMCJ0FQdGKmLxTDSjaP3W9+jgbr/OZlkiOU0g0
M9Nledq+SXkVhNTgFDoM362Ynhv+DYCsW9xfZ7wp0Tw4TwZW24/lEUBSEkBJ78jWk5N0NVoN1pQC
40AA6CI7X+lMVqYp4xhU4rtrgMWXixplSvuG3iWfsNJEwtEF3BOdtwTCoAgn3ffgJo+21Hfj8XdA
dbdWrPDY2E0BXI2eSzXQ+KZjsdjUEDjZusC1WDmRLVnFlS742WdFBQYryWnb5l0e26B9iDb9aDO7
GxjtX9x7mweCZJ1zFqzJq/pHES3Fi+HDKeX5STZS5pXeHStszY7UOPCT1uPX7C8awRL6fGbfnKo8
BG3T8GOHDAw026xxNYjI6spxfC3cLem+i6jlNGiVhxeCxAInJ1QtJYsCAk/vRhq0L4MsFABrOtTv
TTcN0efXyoYTDxFlwWbhqsXrt2vyJIJhlM8Z+5jwlpsXriShy1QH6YCuH3p7wjwU8e+area5fsP1
an/nMDtEytBsFdp3h4ROkNXsYd/CPE0YWKeU4qKhhNgYtQvRPQFbkfy6g9ZudU92dttAHpT6Ky/3
h5ZgN6Jf4eZXhzaX+aIzIEZMSqYN+76sNMcZtrPMg4QAVGTtbjGpS4YJQC562vAoQ9M7PgNhAuAP
nJwQ3u0wTfAqhUbcf7HjJEQql+RdYieQD0FeEYKTWKXBdyxQfCjgGIVL7YWfpA2eQhwjXUEkxn7w
OJJWJPmMz2+ya9ha+EHZjPfY06X4HyhB28Uvy9UiwhTFa5PYX9rQsGQtUruPmjuJ90GqOh+vVB7s
nIUY5Upj2fePEZkQTKoEgo4FxW7gsps8SI03052SsIMOutXi7XoVrDJRoXT6oXOWtr3adS1nVYbN
HTy3ksH0h9cH5JclHJK/NEur+iGj7vU28PHrx2SEKkRDXXy7b0yFPi4Ke5cL/xgP4m2BUfhW1epe
+rPiVWpukwfoqQekrw0PntCKYleOEffYwQ7MO+oZOYzZst18y2XWzSSr9E/7AAkeQuu+XCebbFr2
x2FrZ466LrviWuCflhYlClZf1LLLLCQdlOZF+t8lrqMQ5zZaLlofxikOpJrXPD+XYEXPfebNg8Ol
jthk7jzTaH8p1+qUv5464X5JwqLV3rN9JG+GF7vV0yOgT/fKl2GbWniUw2ojKo2L10EezNuHGxsS
hdiCzCW/sI0ID19E2eh2OPl692OU8cLXSYRz5Z3LTeMHnhimEnmS0J1qD8nfk6GN5clFl+/2ASrZ
i6J83Bu6rqtgoeppFb5wmsQb2tvU/4QCKtEHhYb9aGH+GKEhkFa+HTxJK14vHe1LIxk/3p4XAr02
Cfs/IsOWC5VLzPnpMMrh5wXSUBKgvjjctCF/5NFwXcjBSc0ypIBUE/k7NdKNOMVvzB/ZqblP5e/T
qrAm7vzC6yDohUTdN0ILOTEPgnG3fxxiea0WUKUBWFNgaJk7/hG9h5Mzo6TRt+pnuquyJRQucCex
R0h5JdHYGLr6VmnwzqkKIrS8S3wsvUj8Aen6HesnpsTWOyaJEaGTvunSBNZTeDGy91M8BprZd9bV
AYi9XmESE2OxN4c4/UC3DGWsIsIsrrRnFLa5hGWTyhvC68Q9fZR5tMFDjMGUytmDfgLanliYc9A6
xvUPmnQJQ3Vmko+9JqJhvRzXdFvVwV+V9nwkjP4QFsp1pGpo/JP1cvmSS525OSTtF8gikzJccGNi
3R2+3pYJ6f7EAa4BOQsKhDal/AO/2luostHgwpjw81baIOf5/sW6KhJNGjATjk5u4VmhWzK1zyr9
5emqg4fukG2EsppMJE8LecIey7JoG4TPF6GEjcJIxsWFyNzcY32XsUf40WkXxgA6vtuZ4Cd+fFvw
EVmBpchjLlivwiLQ8Lt2nNmEvGn+HLAbArJ4H6sDOvpjytHm2cTMfWcgvdpzraVxfRpjj76jF2qa
dxy2h6Lv/xXysEH9gpiL6MCFzXa2xbEEugOBUyhOl4HNwd00Qcnsy4K3c3rN+vWY1bVxVwdlp5Ed
P63z8mWf4yX+jn4cfRbsRyzln6in6YbJUWTsP+P78Hj7IbPcTTI67jehjzdo4bD7dvXv+dBJRK+d
U3kxNqFeD6zXPQohqZyRJyTE8VGQ7uzbUmLo+7K+OQ/VEVEDUNIz2aWpeBhcjmYWLogyO3eSaHXA
1qZbHl1XNVCE1zfBasUcwYoVa9UjweY4bOtw13Ean60hNaipN3VtSaKS85FRVrHleJtKNeoK4njt
N980xv5baLPYpiHC5blu55ujhT6YPV7xR9qmjNEqGDF5sAgh4+o+cd3JytuQVkULWsYH+4nlUvLC
vVx/okdjqXSh4JZdep1nfolist9MtS/mS0uIC9wq3bwSH/v2G+S1hozof+Y8hs0infZbJphZM5+E
smNu0Sv7pAlDvsgmXrBtI3ATl9y8HexM7wNQQVCHNYllJQJSlKsPsylEVOTNTLJ4hsHa0kIVfpcm
POBUIbkMlkKNYh+TddrY1ZQPbAwesVyfL159SbsEGK3U9fd72g5s5aS7CwKGmc7QPcjK+n8oyuTU
Qmy4370gJrWAOI+CppcbvNNvXEdNF/+fuHqS880n4WYVCb/B0Ta8IwyC8Eg8oPz4SF4dfR24otBN
8IsBmCXMgRTCQ7qGDh8qIrBAwNWL+qvrUbWcT+tCim0I3KivKC2caZLqQzw2e0b3PuCBdjzen4DZ
prdrL9h/SNfn3kvWovRNaX24BaHmKJjOS8VwRcsQUwEmS2Iq+WptBXaO6vGH+VTfxBQK6qe4GYmq
SL69i0+lmmUD840GcE3v98iEbu7J507Bi2AqcqBM5pJCwHjVzNqLfzQVpGwmrkgI4MxX5zSTGiiX
0s9FvbmNj9uL++8t9L9TWsamlFv8Zl0EBsWkbfdH/fyc4VOoEIMSh39+fxmpmhYiUwhQWryM/xpn
076o+eEbDuQVFZBN0Bvi3IDSSSvjZcJl/JozjaU/pGc2ziLsexbz4c2bEISzS/KwohgBRW78K4mI
ywWQX5Zu/tZwu1KXAuw6T6NQzRlUuL6MQR7P1wbFgAtA9Be9ukMNVjrAIuH39GBs3T0zaNcp0cG/
1fqTBb+31JxqE6LoKwIS8PyQTzej5BKkIumK7UTv25JtI9ArUlZlq+0m+dc7oIWdK4dGbW8OxKwO
lnOxPU5ZsqLBP0VGMcPs4cs35ccO41lWEPkfiphyhCAreLeNym1hKk+UbtvLIGEqwL9/wWsGiI2c
FXim70AtwD9X/vx+xz6GHs++SSidCFYk4Ja39BA9iqRPo9KRYN+oHDtGWG51HTivHw4pZvndZ8Me
C5OzG+IX6Z6I8bHK2aEM1IJdlxA0QNtVYDtVxwSqcWQ8vAwRNpoFRJYnqVY6MY2V41n5dPhLAEj5
ssAYfIBjrDxC/e4BhCrLi+zJPYxvJEGbvFDwlB0jdhORoukdmhZwzdIgI952FfuzLDL4GEYYosOW
b6KRLKaRnt1Ly7KslWFiJskQaP2RA8RSTe83+KRhVfl6TW9yYINJztEa2m5oATjz5QndgEycdfoZ
+stDdH1KMwSzZ4EbopJmNCqsb7PIBAvgElSBTzm7RBfvGKIKD+nU8/LxfMpfq8wve/I1L15WljER
BSYJLNKu6aI76lgshGUAhv6FQIMbGQ8xUNbwTLvpjgkYuVt6vEuokK0Jr6J5XY8LOpv6HD7MrR/H
wiN9MjiYRQIrMRvQGmqwhY8qfv82PSfVdoqWxCwmkQb+1EofjWmCX/9HJ56G9eC/uYEYrydp6cqq
DRUUtbFgItQ87HsiIB6YZbAE8AicokjO7nfLgbf9NTRHPYeXc+ZSDqTsKYtr065QhkL/P+ahS6nL
pLcxTIQgk58gc+3lyytjiNLfa++CJCbY07ThUf1nnFxHafiXs6zoOef8HNKYFUh3rzYXEVznQIhw
Gnsq0rR43xRo/qcbEPDk+Lnetrj1F1+CUkq02yyYSmRHFVZrgoI3mb1otgZnywAzQaV1/GO+jAgt
pKzQ7GsiO0LTQgKf9BQX+JMsF2A6m7D8Cp6KsHGvI9AWTy13+YQJtuM8rBFIjvuzJwxquy9AUcjf
a6CStFhwlrcx1ZT/neS7XF1RA/DuamZTqxCuKRIKfifzu4IYC5uKC7+57Kad4aTZ2YEFpUy4KgOX
1x9qwsqvRieSDa2xDNnscQ2Euheh+96ptMcf7NnNOs2vjkMXaFlJQU2y4b56X7sWCFT1EMO9M28m
MXA0goiQv7a7sz+erIIOG/O4ApnZxSfnRpXOobQjnUpmZ0dndz+PYCbmWlYhg8BUODVOxwPsL1pg
ekiSZnp+NeE4CME6fNK9bxvXo5k/qscOtIxas0sMEWnL/sYvPxdTVPBwUCc0N+ur4w7eBW5SNUx7
m0HUDa/ijaaQWlKDz/V4CRnR/kHmcLYoOdTKE0J4B4HHZkots0zxXHwoliBE0KkOHp9D97u482+W
3T7b84RVQzYZ5sZ22kZmMYjGuJHcTalbUdoBSSfVDHwutCKKHZZx3QWEdKcZVf9JVcVB26VU+tf+
Ixe7+4v5I8NBiTEiD8EBRLJ69npJDAt3XgjpKBaXe90Mq3RJSb9BwKHdyaMHiyOlFEXPfGqw44gy
HLCabBaObCdBrNvtxT0YuRkhZB26e79aDBpA8xrrXpIS8tGmjmploxEzLh1qfcKUgat3xNWV/hoe
fbe28x7s+ZdVnh9mfpJ3hmkyWKaDsn4Bayz8lXVIDbiG8f9owKJHAH9jn6Um2bEJpX58oEMQekRG
O1yghNgchkKLBSZI0G3iIuQpudhnxSH5SU7TBov6f8I8ccsYOKtVAEpbyB5Xz8dC3Sd/rFImfaKh
43tdp87hkbiz1hdrjR41/H/8rx4BAsB4SLtRIToxGbtdCi6veCY05tce2IlYIDqrgZN0yrYkWVo3
ew6SuI4pS6uVAxpgDB14obiSqxjoPCB3AZvvSqFu9rB8WrsEhiuAjugxqFNGVV5gZBYpWKXYd5fb
5hiIwthwejgnjzA94iiboB/H6Kd8+oetyp04+IoG/CnuyoyWU7ni0+8SuTCBh1IDIVM554BHQray
ZClWW7C5B2K2ufMuYXhxFOkOJUDwz6eaDtdeHJGQKxKQfvJTDH06MTUuT2q1im8+ynVHGWb+Dh2G
V27koAcHJtm53R0alutr0VIEplM/T7iQUViSAaMXIS3OSnzaiHRrU1ZOHkTMmOpEHDI9CIV7WFW5
dmyyzGX6dYtJpc0pDvcZ6XWYuGEYAqPC/NG7VOO8UfIKfG6YsZA1ePMVkCqZVyN6MS5yP57Nj4x6
Ndy1f1iSRA+EZTn2AEhx4/XUYeMGQ+rzVJ9iWPCOEBHvKXgzxHqTCcLcMLhJQY6He7iiWJRs8DMI
QRwJ+xu54IrkwJTUPb0tpTcadJeKKFRbsA6w04qumF2qZg5Zjg3zI7mif3mBK6GcovMapXA4SpAT
iBKRIUs14m7nSlx5g7ZGIUMinSxhjsQ7gDRO0JXxIlMtYpglJ92ePuz3pUec/v6oJBW/jhKNBygV
jA5evzyA2ejN1axTl3diE3jMA2MaYjBrfrXDdMBUkDjvm22TTRcm5aBoNDHUd1UxJn8Gpm+UUbmu
np49T5cLQ/p4U6oFMIDEGso5QdobsAJHQZC7Iillug29T0Fa/G0vpW+crrbvk8Ix1jtPX4qQ0SkX
9XI0PnLdO3FrGlHf56wk+cYkl0Ts7JS9VfOIPXmVLor5ANF3cEifaU40e4EQZW+V9wHmAX/Byi8y
zjEa/6j1HcYVuUHhImpn6iDeUijEpjlqgHRIpETyKF8HW1lus91Oc2N8UvEQHFNjk51MBEpFkLCK
vx9ig7+2Sg68rBuU3sUJD9p9hLs4D87oW1l+i9XmSKXTziPRc1k0Y589oZPy+Ug0X00/dNKvnoAd
X4HVe4mqT4WjlwarLzekxLsnx33e85+UL+RyklvFoixIqBzXNMNVnyrwSXEcy2Yvds2xLL8/+Sbw
pPN6JKGeSK8VTx1P1JSjcCYOhr+LVSSv2JZ8G3rNFnSYbpyVsvE7k5wgH/Ov9zRVeaD/+iroeJfU
fCtKPChfbhsWCsU0D4UxXNeRFaK9X9BoY4h6sxR2ua8NYsFHUzBToApwYXPgyM4EWB8c8bk/GnjO
y9/pgypMbj+I1pvkHj9tFpcZKBuKHBcS7OeG2oneycTP/lizHGJIuLjhYbYddaA9TTwUSaepB2yW
LC1UJbM1hp8yXEhXQRvJyXedZZPUhRXhrNzsV4BebsVyaZsrZsa7PWLjLd7XJUOxifmw0s7LAEO4
QOWeOO5kGpGL/sIijvoF5K+yj2sNGI+E9GJ9GKy7PPgMJ8FXR1IVwQl/lZpXWzsEjdMIgYB0oxme
C5jSqZZiweY8Sl5jYzA6kmSjuzqmtPxPCcHMD1OXF/5ZLZsC0+iap3Lq/q66Y7zv+TMXUQclPQ7N
vWVH1Oxm3nVJzxPJyGrAmI9lW+At/oJtd2BH2W1BomEavkJ9OfVTWZWVjXQSHQaPIdWEdcxJcycV
J9nTgk0RHaHWy+vjo51CaQvI2yH/8lNP5eEuJtW2pQUKMswUx3hSgtH+Mv+P4juLo8AxzG28YMyK
fU/LKYYhxNfiJ1nRordNPQZChnQe101oAb8DyBcVyY2snK7kziqO4/W0y6SH1JLARXdCOBIxqodb
1tTHPXI/U1ituCo+TvYylQYrGbMUd3p65YjnywZ/UHG2var2HKpOU5D76/UUWUbDkqI1hh4xf5J0
VL4TfHSxR2/u4Tet8Cym9F6it51WsWso+wGlP5bh+RJkQk6r0Ar7bD/BD9MS6kW6oQBT7ws7oHgV
rm0gG9sPt4TRBdQG/OBmsadtXrfl6s3iwT0omCgQeGlRWQ3bsY8B+gHN5ks8DPxlCOp57G7AX2nx
rSoh4uFI88lEqjgXud2uTSLLosJMzreRp7aPwbD2pErqAns0p1GzEUJVz/09n3KyFexQEv7Uq3zu
zSF4x7oesSHe11J4fgbebegkaTfFsHSrWpcuGrlKo46KixabIv+8G9EZ7huROJ+dHrh9Yk3PQaJ5
nFEDQXvjr6u5IePMp5ayuS8mt/1sa6pC76JIYGODUx68X6BqUXAM2/ME5rHJxgsnNzJrZdfN3ldu
YrfBKbuWnqkt5V0l0cpZV2jc6c+Zn7My2sQc++w389RUqOjjJN9VaiwBuMQeqvMOzt4AX+MuCesf
xSntJvCj/JcSf9fy8z7kMU/rw8e8iwOuoFf3XW25bsIfNj2xgOysH72VxVwavtmjcZn0tgDuilF/
UIOI/djLEcnPlaXq8q2M/RnvPhPxvYXKGA1jbV4zXZeJ8ytDMxn429/k7X+Nn9fzafm9c+8jCM92
nW7FqLVlcdX6IYOrDLrjLHKqmTFqcBfES1JwL5uTOb0uHB4v/XFNhYCySizmpgb2/jTx+EjiSmmo
7UtF3pnr+WJIlBj/urfQwP2/qFMxj0RMd6W29XZ2/l5BxR8gnATKchOR3X6uJ03GEapOBZfBkwK4
deNQc5JZYRT32tfFPlM2Ko0pk1DDMmijHNWLnxS+VhUTL67qIBTjO81zcl+6WEwh8xPYaITCH6eu
re8p5d8pzY4wloYuFFQVQRe9JS39nlFI8LzQvmC52gjFqydBG4c4N1HnbHfEa8azsye2dVYr34C8
PDqXYh62zlMTZ5JU1mSWqxCpCyMr8MWcbtkrRPe//GSbshKdPuM9hT5ekxktS8EsCrZ7UeuxCZ91
m7PChPDwQt8JvW5ErQU0/fe0oP3r9rRav8HXZoj1BlRm8R6aqEG9T+Dit6yOukycxcLENXyauq8E
g7iuu5AYpf27yJx+OQ5RKnmYYBkCPHifdKwKkFfLC/mg693kdisN+t6xpauA++LUa00Y7wRYhdwu
4/XEo0zU5Yi12A7YFVSmSid5n1SysszXjg7KA+CgyxfTtMNUCQ5+5JRLfdRFKcM1QilBtX0MLV14
34TuHIP1LOLKTKY8/zj9o30fqIibvonQvEcs+oA7D4YASrrNVkwUkipIy9DwU7/YBa36VYYrCnaO
HStBrw2a3Qn+p4IdVYObPAnRkWN8sb6uMDb/TTyekEyZKeinqORPYjSLoZofRQU5YAYhuVMSfVip
1mQTCHAWGzsLyf6bgpDc8Rv9di1ts+5VqEIdhOByQN3R9/prJK7+94tVGWPCmfjLRtMDnaany+rb
dJF+29lHNAMLGe91GJuYDqgNQzrIqa1RTBjf6YyveAEU3Q5+fjubcBIFBii+Tduc5RxOytybbjrw
5NFvNLckCJjg3/XBW+Ao1ZqfcWJiqWK9M1F2OSNdoLfZ54Ib8c0VjN+LjFNoB60BVLNSAPU7UvAq
Z/Nemh6q6ZNq2nRRb5bJJI0xtL3xTSspWr1gmACIyCFXzKAvacWh5qhJ107vl3JwWdJQLsKFz3nL
HMLW5DPO/5iQlw2nMCOMlWLtMBo6vJWzA9MtClrhJryNHEMqL6BzRGuFMb0Vqd30KEckeg10IpBk
3ocX35NY8HoTvc2+TBgGYq7GTGJUrYOZUzBB1gfTgvJcL4mSRA7+BzOSBhPRdMyfESZ6eNkdLTbs
cUSF4A2o/1dhMspzp2BxY9SkAzwLKTIK1Z9wnegLK3hWt5WQErVcr4LrBqxqZo48r38oLGSDOwub
d+ijq3x3ZiulNvYCX3SV+w5iw7GSs/Aye4UPxdtqXr8yAmXHN4q66N2TjmeKi/AwdvF+tuMY4fjI
RMH27sxgL5ZqFQSUHYt6hWWET3PZLr1fZ42szGF3c74FEMnsV2Ofu78sMeewfCidtRs+7WWje1pe
vYsy9LDZESmq6//bfWRwxnUwjQAJ5bSYtMbsff+Y3X6M1CCddQBFWhmZ/B1ErILMwcOgPGRN/xwJ
fw5K0wsP5By8lKhBZS2+aAB4IogenvybQkCYAhRX+mVDe/mbAnRAf70FM2Pbr0wVLunoxzpfrp9P
jLsrjgq3QllUVDo1gnw0IJgWjNu+yMfSJ7KaX5+0OJqCPB40qVo4BT9Q/9gEg6D6Rq1G9Y8SV7K3
LBtjseinDkwDn1rKhxORbxGTAQoTJ/2W1inBYxkahAG74WL1whsm6AVxaMCgDzQjXb8Jd9dPW70a
n1yldYggPnYhqasaz1fhJFczsV2dpruoPaVhnyvJK1cT2y4mIxP8itRuxo7KJCabtMsRIoCzyW4T
brNxPBh9WT0DB7eA18+0g+X+IqPQCtqH3vsO8IVpNfNJBQm7fpkYQWrdtNKo2zWL1jst41G74pnE
unWfKd+66s+MHaSD4oidQSsg8ZcpoyaS4eUwVusIfpZdeQVFILxcNKfHSFXGNXVk37PQuC47Wfzm
mqO+hA+M3233jvx9tKSs2LV6f7V2zJ/mX6JeUAX8kFXm3SrAW1N37pmaXbXRWl2HSu/2xfz5WYan
JFJF/orzr66d8VoT2uiaMGEeXTXwwxlpufttCEGBPms3r12S4knqVOk0M0+zx5KWVmPXLkF7/SQS
Jz17cQHnnzwsCwmEezdxDfpfXvZi0gL7mtIMOTZCndc3pYvrPijSA/ZavsVL2GbZSI1M3JDHN7oA
DOEk+Luagwgwokva5GHGi1b5tLNjEdSMWO12gzjEuHm1HE0W5kYIB4dh2fEFnWXRCCjICKeQi48b
ZEKcc3hhUdLQX1oPT4V6Tc7jDgk2L+K6/14t/VUhdTn6gA3r9kiq2sR5+ChNq6fb13EuyyWrwGri
eiFhA7RS5a/Y/mIkr9HHddH16gyX7A/KEwEnr8xXtVyhB4av6A8RmjUenrR6y7vykio68josc8Tf
B8AOJ8PHXlYr+h9oweGQAvXuuhHLmY2cmymoR6kGaF5gBNlrQRSNbPZd4k0jTAbvaSu2z7zfg42Y
TGLq2tJhXkSU3sABs2M+gAbFq+v41w4AScYS0xE7D7VMzwc++NLVvcSBq+Mj473r0x0kixd7jIfZ
/LcQ48Xm/L30bCSKG+obJ2BMshZYjeGsvQdqssbc6DTTTGRLLv4k5sM1S5+41NLACeoAoZGIYaR3
cL2rqq8bpCPHMDDQ1IsNUaz5jvjvMSZY9yHS8WMbVoMPgFw+tXz56aTyfY6M0svfEu0V/yQ5B0Z5
JCTxl4KSkaFt4ainvO5ENr5OznFAHtI72s0I/hYJji3DuVnV+O99GXgfyVWYqlDEbJAwaCw+kSC1
zkbXb754dT+3B4akCOJTmldSt0vHXgWfjF0uv496SchDzcMYQJQ76k0NPHrACV+1EH3a1X8v4KnK
8F/cgVDWUhA5qGZg6roSxpuf+jt6/nejAeIHlrNrH4D4RiSvaMXF5WC/NEXFpfPaPOeMOJfEFa3Z
WVOS529KxcinH78OVEjmftrR4jyqrfoA5HNxkXk9v4cSWRmYtju2N8cWZDKfY67xUN4Vb8B+vreh
wcyhFYiwQfiA3TZ8PyvlOMTbUywgH0pnW0jBkMDlNJ1lnvavU9FA1qZoYWraw8N3Ni3AtOpMZgwk
fAjnfvQILzxQt1VX11gQSqnc0HmSCZ8Sq7ryhibdeecWB36rVttMkUwO/mxXDJiJYctZHaV6vqke
mGKTyqvP/55Yh16D83SR3xZ71KRfnRFfPCy6Mez1yBkMrB12wUmvadYZTJp/hLw9pwH64DfaPtt5
ny3iC31YBWUPIBQQ0jteBWtaXW94wou0rb8K0DZ61GSn906HBchpgV0QtY2nIurwz1ep3g+u3rtV
YYN5OaoEpX744hKcZosYExOTDacOWLqull5cfcInWJTz3PgMJKzf8IJu3mtlNmfpAh0o6EWj0gxL
5Vp7WTspKeyxCumsddReIC0Dg0m/T26+GcFs7E2vR7IWwcDTKK+tjbgBe3wnfv6BSjLkOdVsVD3S
WBxyDZ+v6i3x7VncJ8gN+GD1bHbbu9ktcDb+SBPBVYj/5hbvO8EZ1LOkGy5Pxb18myJ5XRaXV6Rf
cwguAn2tmnZTNqz9Opp4KCA3X+sqYCshEr+d+M/e6W4r1C3TZGZjCVT3A7B5e4q/XVYqRZykUnkg
GaPEPqxtwe3YrT8xvQbHiwtcS2Gj5AvhXMsSbLR9Fu/361Ve3QhxFciNNGQx0ViV7H5JZdo9RyhK
GJdI0IK8813U5WrEFgncusb8tefVqRSNRcnDtunCdD5zYegZ37ai6QfskB2SCoytGCZQd/e6yfa2
iuu/OKHpBo6jVhhNXG5qMR6CQn5tnWasaK62SqrUJMStXy1DCYzSsbT/Kxj0cTHWeV8pk5Zlapwx
U2a8eidbaQmnZ9IJAmRbxm475pmYXHJtJgFndJDNI9oUDmiQ+AOp19vxqbgJr8HHajLVTY+QifCv
zAoNZDGT9mbR8oxufTADm34XMgTeV8cBHqGAWcWPlien5uG6yik+Tgsxdh4+WRFnm76pfFi17rYK
4ZB1IHi8yxlr8mJ3NHHStsuRVCTJeZAtTOXUBkKR6BqIOD7h1nJ9Z3geREpbR9bKFECC66P6YsbO
oFYoDRZYqwcVNC8jDqCMLIfuqWcogylfO1c/IjKIXF76X6wWfVBjnkRYXR+5LVy/L0zPi+EAIQ38
odNK6Mlq6oBWl7MkNeFh6pNB5Ifuk3hrZ0EQaIidByCwvar9BdaVSeTGfF6NbSqnCvR5y1GyITwm
kzwIOI2S/UPZ7BIDggF6I0WbpqcUFkQ7nTxG7abHbhlzt5XpDJOLAWxmn1jdn804e1Eg1/+K3wtT
/30OV+W608yl6hg+VL/xKcBFBqmW4RE9mZGOGMWChgbIIgVzwYWqAhdAk4dmZuAeiHY0IgCmkCV1
96d0fR9gWTZ3D6wl0dBk7gkUrhe57fiyMss7Bsgeyt3Q2ZWA/fENawmhXesHQAKVbFSPQSW7Lyho
8RtWCihVgS3xqw9P0Unf0h4ZQhKGmFH5VDghQR6dVE+ft59yJt0aE9Se9yCiXxhbbdq3rIxJOBMr
lk3Et7w8UYU4OlYXheU8VdKcutbuBnQm4XpRslXwxfocBEwFCoyL3DRHoS27eFxijrRliW/D2RKX
EEJem1E85RJ6mOM1xVOB01DU8G1GIBluvHnxX7Hr1oGiszx1KZpvuHJCQ2gLWnFhK67coCRiDhuI
20MBh+MUDZjgRoSoej4E6aE+UgyckClmqhB+glkEkk8awYof4U7z4ixg2y3MmGrv9d+YIGCqS6LO
7TxzMZmZVROk4d5bj2DV9oEYe5cnruUB5YdwXT2gZp6MGTfrV9ad+q4LOxPwpukbtasz5N5GJB4H
WPgrrcUlyqBxVzBlZvoiXQ8ay2Krp3lMIjFTnClhJebhAyVmVf1s7bXIhe6mdObijAOF2412iBOd
tikzIfV5HLR194A00kSazssV8oTWW+9DuWUl03FqD/A+7VSNv/tW0pwECqp9xW6bj7rvYDE6QeF/
SSkuCRIQBFi0j/7LCwgW5JXMLBRBmCokFpTm6nF1rEZmRfi2KiPxcDf2kdr1YyqnOO64teP2xxjU
DKb9VCF0jJM8VBEU3fOfB65qL0sBGdcIIys/T4A3IX9/QhXZleqDdAL3IqZYqn+nu21DYO5Lb3Pv
x2xYUrmPfPGCKvuCdABNGRhlj3WHRSVX/U4ZiPWyhFUBC+ZRKHGgZ9odau+K+nR2VVeYEppjVpWM
32EGjHM4gmqSTM2DRbaTysirfoORpBG4rGwMa0znGhucObE1nJoqmoeHHbs2qj/s3w37KIQdOQri
wtq3fJagIG+vpmFUJ3fo47YKzXiL030+ExqtO6jxX7xzRHg3u8g7d58Jet57Fxmhb/vO7mn8L+0a
KhRSBJS1Ox9FYhIp20hRdS5UEvRTAErcyT+z4InM1oocvMzu9GJxkPfC06avvOMvCIiGSWzUio01
bUEcQn1JqGbtDefspgYarLB88w+SDWVPwSSrWOCS8QwVjh7rM5PwJspGIkeNQmJs3BBwVSPqfANr
CL7XWy0vAdFfhXjEP5VXRRzaiRF6fGXrmgSrVkse4YNOn7P5yp+yClWv56RTSq3xPOtnHGqVZFOx
OWEn09r9UVtxn6XI44lHeVd2wUsxo7cPzr6bug7xB1b+7uXs6EDJUrgMuE0EGTbN6sVLbFXu8/4i
kweXX0af8gxl1ZR3uZBjI7516RX/6j0X5Cpj7gJzPJC+tg0kIFrgRfHCd4sBhODibxJSB3kzHL8U
2gyUcGVZxV7zBLFawWOXP+bIX4xNVA7Wa7EBgjTSWcOU8WQ2YnQJUeNwqPooCgZPV6v48Ymym4OG
7W1YjnOq+EF0pG+j0Dgrmqou4ez2oMGSrjdNdWce7O9o4KuOOPAu0fDZWvnxtkbVZ9/zUrxCt/Pu
VTvBowGqUov1VK9qAe+ox7MoVkmL9q0MTVaKzWdOkrVqYAI/NH7DLtBPTAQ+DWTWW2Zn2xWOE7pA
qutOiJvKLy0GWiSIdsV+ssdDhnbNzFPUAJQumBio1Uvrp518WgiMOdFpY4tM6xpBF3QNB6FJIVl/
jovhRhYEbcpfi8ob14JFwfewoJ5xsGVTRREQc70pMuk+70LSMyFToDG6EPLgwrJwA6L+TcliQf6q
ZNdnWs1qMsE9HCO8yhGjfMXua3bzbNKlHoDFwTiVHuwGIOUcO6quoq/OqH9nLIvU2DAaUqEIl6E5
/uWnopvR3ISo1cEFX9h/50P82A4TmCxzRxFdXYQOsyzdSPNjOYI88mo90cEvm1lWS5vWID62C0Xa
iwR6wj1qr/DclRLuCssXYhH6nW2IP2GXsZgRACn6Gjtx48LVmIyrJGiTlJDoadisSZ/rRzF1nM4j
MKNWUKz/1/0YUP2W9ocJBMBBqxbPM+PlporCdTsfhVekFogIWFZgV3xqKr8xHUWKfQpUzWcZq0FE
LB4qHFKWywyrYfntNpJBwYhvP97P/+dc8nQVpPRtCeXaBNXzjou8qgSIPtW1ENLUCsV5KvVpmKNQ
nfeo6/wiz+FLKzW/vku0GTXnAZkVlBAEOdi4tnPjJh3jR0Q5D7xeXVh/pSDu12vCpngx0jP6luaf
CVLJ+2+jeDzaeswUQmUDFrrlHkVX7hAFKR6xzUH7oAfrNJS+vX9BJ7br4n5BbZsCd1LdBOEeWKnA
cuoG+81a7YCXbh2li5x2doIzZY62gLwdUe2MxEQuDGjyLB+uF6jikPY+v8fnEOPQ5Q0uxuvQf5q0
abW1VsFAKEQT8BoZ4+HWUKZPD77HU2n4KXmhoFEDQBJq9oBcRbghicDLQ9XCxbQmkP2Z9m2q+lzj
p3emYHgE8hd1i+ntErgSIAFpp0rcVtl243HiKoUt+dsgDat/AtUEIjG/IXnbtBa2Sth1966ZAA6/
6Y25fR2wh/zJpwT7P72H7nodHb3GGGR0VBh3Q/ZlM62GxmKfMmfthric4OleMrGuiIbgXMk5rdOP
ZCgYFaNDu+Vq8jjxUmXhlpwFKJU2GlH8Cs5HfZMo59GGaqEAgPcwcGLGbPDlovR2PJfBPTAT2zm7
J+StBXKNP+z03sSqpB7jV5SiG09yGujMr0AhMAy0HaHkbeeWorKgw3Sw+LoBPESMqglrYx6Q1Hsf
1hS1pL7fDGsj8SJKlzutwEUX68RU7SW6plNYdHpP5dBa7KdDXq4paJi72V5H6t10eiO0ibqhsKGL
ktNEjz+lHCJG00IwKbNMB/ZsCoWNcuwRDNeukRKHPhTFk13DHbZTtC07e9aUUMNzA4UeoSzep16n
erjdx/dkXkfAwH/MC8ujy3k5kDIT5BDIVhMI4fX4nKSwedNIbUxwThQwd5DdV9pBesIFxxr91jJU
YuRULDIFS3fi+g2sphQIScj6hgJz9NGml1judJ6LthNRJf2zYxeTmZB6zwatJbaXdDDpWUK4GEIO
mgbnQ6JxWk4BcalATb3KT4Mbqv+Ns1zQlx7x+yRCSsy69tbMB8mOCTl4blWqCjPwSNl3v9rEw3qw
k9TCrQpS8cIfC/SeuizX1Wee13dAKSDROkn4kliSXJzJFMezv3NfSiuy84JIYf1A7YZSVeIdjsuv
eZYFo/SLdenwG+mUQyVxWwMZeMQI9ZeBGRHEgNQWY8K1MEGrqmdiQ51B/razX7wlEib7PnN4f5U6
3aEOTUZ8gOny1nqmTeAmg6z8u5xPRCunSV8Pe6bTqPmtIhq3tzOLVRcfTwhJg1MF4xPe3S0a7buk
+bFF5qpbojZwo+82ydetlM9A6UBOh0aLxDMMq6Rv2thurJp9NLh2/OP4aSUhT83JoZZVH1OlVKQR
iXpV9WDdpvlHNAg5CAVwpIDfI9XzxvZfMeHtxT/QAGs5y7KIE+506V1EfQbEq/K3Uim8a3jS4aMM
pqqgBf6nGAWPDjB3Et2dPgGOwAwN/QhTndZvwqpZRWZ7vOisiB4DYig88TlBQTDsd+Tfyv3sdllS
VPIIpcDVoM34f59Y3TG8YSukUCYkc/07jC0EVjDrKFEHMCoquqwS+Ig8mOlgAt006epiYUFtF0Wf
zrdciF+GHt5dEYpqcAFO/Q87ks4RsueiCbKQ+tnYJg59UhTX87n8LmU4at6DNbU4nHNNH2F4l61A
Pn3yg8vB8gvRBqweWlXiOdzHleWfDWw//7l7fmPFxU2X8lTkyFuGaUlmEH87na1qSPjeyEoWM3U6
QJUCpFfXuNLBu9pYWPJZXdavksTUbwDWo6IWQJ6a+Xh5OMASUgImT2Mic0fU1oMx4cBncHDGkLGT
3XQMQeYmn00ePJTon3NWGgVYO2gdpNWADykzl1vSnbJLO6Dd6E0G70hHLiesNOdM+asEfpYkGC/s
Sjq025GucgzNItMjDbb2Urtxo8QU3ZK8n7eMTneXHQrlfVZOf3Y0X9I2atBLqzerqkkYw0MlwZ/n
RaEGuYdFwqOk36mBYkBkLW6jlsh+r7etWDvio9j1pc3IQHqPKedBq942hI4pNwflcQmGL/hYUAgY
8FIn4qYv8rYTzTWbEWWlUcSnWjWjimSMP07U64u+NzCKZAkTfUXeDUi9aGzn71oX5Kt9hdPzVzwy
i2ix8R4xnPLbTzfwN1OtBNzSNHDBVAXW4KEJnXWrYRi+fzCqrF+LEySKRaxJqZAnesuzUTzXcKso
fZm1BuSPxQ0bxKJ/R4TSzZKKMrAxEfW93I4KpkvgfdmFbot2lpAu8Jv3LQfauVX3Ne5uElfeFm+u
NV4PpDx31fhMaTv64RzLxNPtOGFuNWpNy+nJAQO1/LLlMaHfzJkZ+YjpfBqcUlZOVagWYA+3e3el
V4de4OmvF0oy/6c9VKiCc9/kVFUihmgkZ82XJ3tYNVuChyk595l4BlJ/pUAM43ofUVAxDCdjySYl
doRyxmQsKem5sAmxJg9CC6xN3LoBs+OwGpzlE+sf4p/AjsINw4lGoNr/opJbJfcVjBYeDOxXV8Zc
tx46Z48qf4tR4Dt08D5p4SsVpaM62wL4gU/I0qM/+xMz8J+4bkkHrHirn8+2FGADgB4RAlvviy0p
pInjUhdCChGgM1wCWAAALKrqQS7+j4EKYuR1lW23ipo792pihr+Xo59hDn/bDUznwIjQyA+g8lxx
tbqw3HJF91KCT1rhPaobAcd2m7XsbwwikT2ceW8E7WFKPWSwptGfTpeUlqjvoFd/1veiAeUs0KkM
nUQBIx9EcpGFt1GB+jr6pZeGZbuqISHchZlacicK44s8qhwThueVq4WuH5JI/ZuRhakik8wQ9EtS
rExrtQfsSRXSMPqs8tHerQOAD1UOofHdwIOW2YwRT25MmyW3kJeNDuXOE8YJno2o5j9/vDoTOvRC
qCRC9dJ9j4iEqY/lj8ck2YwPyD3jCHj0MtrbND/YVLqSs9Dy87CC7B+e0zioLoF74o5pJf4ELayq
VrlLCQSXNItYtZzBxbAnpuR2iQIKDdWk0thow5pKklgdPHkG2jcaNlI7A1+qqXjNKGvk4Vf5xsoZ
yU66HYdFicM3XPRWu/GjEksbq/BXdFUHunWoP7lWLry5jBTa56NpnRVx0NtySUFYvoKFE1M1VaO6
pImuBQUaP0gWzflqOOQDtsb9MNq6x2K/UshfZ7qMbXwhf0RIw6RHDu5E2sbxl6TwDShp+rgexm4A
LOflWdTWDg0S9TKGhKx8+yOnkfSoJyuddhDtsNbs2H9c8Yynjuj5UMcG1IK1FL9/eX5xaM9bPdnU
EGitMJhgjcQMcqOxFmVtomRGdICBxZm3z9orHrXRJym5pDowgXsiShXIRhuunaQiifqOB6KtZlHj
SVA8fOmL8isUatpqqnHr74OuCXB6iCvDXDRC60Qh/fYQjJpYcObUi9HxA0iGJm8E+6X9pLN5USTM
gUIBuZ237LEfJWL1r6w4ZEK56UsQq8HCXvZDhuHsyA+6E3yqj4n7dRL54LPNqFXPfjtPtJB/hyo2
YOyXBeBm8LAgRyE74+D4hknLcf3zav4O+7xsETgotYX/GVEPvMezziqcuMMArV8OkcBnc8u+b4iv
eDJk+RseISf83sf4nVswOnnUwUE6B31C5R0zzYjaIQT2PqPkqR9AfiUqGz8pUHShubTlvVQXzqHr
DM8zuH+qWgdSWlmvEDUyeJXPgr0pOCEuiSsNFrXEio00RppxZuNScyjHW2iDZC2cq8SrAUSGwKYB
Ny2IbKvjGqW83oLblN0qyBoxNbX4a7/2VTicXpOqH4bLCrwwGzJVNtxmCH1nGw3MInL6+vBCswp1
LsU+UZYSAcLXLGE7dF4bp6MiCuQi7BMCklmYltZu2tKajYJOzOzbVI0ba8TxEwiOuViOOW99N3hJ
YjcosmJnq0nqQwL3rZoE0sr0fVGWd9/OimYzUJjwNdzBUEMrQst4HUzkV1lRrMYDcm9vyky4MS5N
i3nOahhnYvj+33RSNFVClQ8TkSt9oWLcCrhI2wpiCuG/Gu0zCebwTFMzMd6LgIe4gh3/ojeeaJ3t
GtW0TcIHoOIASYSY89vQNn3UcalPe3QpKJcy5PXrh/6UIwFz0jR8m3H3wYPK/G74ygK9hqAII71j
khxQh2IYgYbs098u98+XnYSHA0BUjb5Fs2qScCI38mqAtQpdsDanit3r/CijKKE6ACGC3kYBoUCe
JQk2OlJe7xZtOeT3jh2Y/xTRLM0X0Efwo+1i3vRjD6hFh8kzEPGQ2bWxuWKlYyQp7vqJVBkSldPs
SIO4W2FKLiNO1RSTfDHDI66pZyNTvI7EfAeX8+3/i9OvFCOsAnfcOrZH5TRjerAQyMUqtD4M7RcC
ZLRw7FlYPhZK/dJlGFcncAwQDypxzMvr2e5z8hBAqf0M70zfb4n2G7+Kd1UWAFaobqU3edaTIgAA
QtdxX9xQnxZ2m9SxyKcrMPJQ3EQ2x1yP9MHoEt8nBWRfCW6WPYHF+TWLV7hTfTxcFD172tnNJYKz
JvUUi6twLfSlZUp+4WP4zw2B1TmwdExMvy8ze4NW71pSE6+uU9HvvA6gN7LmgQ5hOya8//3PI3uw
IBXm/TVRIQ7XfAKe/NcqyXHBtp6ERdkz2pKP+QQ8sRFofrieS70xLPRu710Kc2x1QjpTdeAo5Y3X
3C/aDdqW2okuC8tkWermxw7O3tV7df1G1pCAFnKD0sM42zJ8duG4zk8qxHzGG34jhj7mq996205y
drmLd7+SodcR1te6nTNkguHqdtMibZ8r3wZ6xWRV2WuAJ7rMep21DZHiVLJsODF+xzZsUJKeNOEL
F3h5adFhSDusEoAn5KvBvmSLKREI2yPkaSDwGlRFcte5zmcVQZDDPTBmT1uUw84ICG+RinpSndG3
Pz/98Js5CxH3Y3iObhyyXbgvGO+/DPeidkME3QJP92XSwD/3opStSxxcK2Ls8BvONHNJZgLTG9Py
ZjTtznak7jh03waEUcIBsYfxrs5wj18qnoLO60JVw8GgSRGipbH8eLepMK29P2jXqtH9hw4hfgvc
qL7eZ767sLko3IEiZ4y6j5FxfhDfnQ2qEc9xvGw1r7/zlbXVKpaxHPgxgKsMZq1/OIOYIXRE3W+m
bhcKkDi38EUMemhtFqrgTpor076ETOGDMTcjdQMEHjxXhlvquNKJ6BlCb3ZZF0tz1i8yZtiZbi6V
0BIt12xq3DHpFGC75rsYM7vFNrU38iEaIrpjoSKzRQvHYa2+WdrcSFSv5b9uKYaW/Z5jikPqv1rB
BikMxjs8ZgJYvN2TB4Qxx0emTire9kh0v7Pq6quytGGbCFCZOowA69Th+mgjSW7JLoN71vxhk3M0
x2a76GKLaBdDDs9GaqugqhQFHlFuey22rViQNGt6MbfjASL1hMEHW/a3bnndd769ryTW+ekzPlOX
1K7bkmOjf/gvxl1zjJMPwBJBTxvARW1LfLqn8u0Q9MxOSSVhUHUoXARaHZsK0ueAQswLazjYaYFW
8Hyr2V0+tN9oggXvvyZMNv/e+SUry+Hg1uT22zcmPRnNxvpSPZI/VYiQ7hXuMVsw2ZqdLJTyns79
/ChHA01xJsadRN8PKyg6rg2l+HUXv6kH5PTGauhY8q/XNQQ3T/5ynI5nq1G1z0mDbBQdBqWEhDSD
YjgW8cVdctj63p8zBrSjcBZTIETJyeIKDkR9ZS86ys4e+m+k4R+iMTHaaLI7Ho9YZ1/pUaEYJyrM
oFJuXL60Zw3G492CWZ+qfkHo7KF1jxa+5YXYk3S2iDctuv6HNuSX8iCz4jV71yCJSY1Fxwb6tsif
O+0c0MXLDxFdIIOxRc3xwVCdjpA2srV4UffSE+VJicZYc3YBhb9B7W3nM9yMuYzpMrA6C7C1OWVg
W34a4T7VQ+FP2BTGO20vj74BV78ZBzxAWW22KRlsUrvNo+vwhJTN7pkG6CdcJoZupVEFOLw5oiWw
rut/0doJoaCsCqnbCJCbpj8NC1XXxlIbvAk7e/DynEvu0P1plhIiAUSNCSFnotLFPbUF3Kn2Pp84
B2mw8xYT9/GIPD5CUodhIuWtyRjpsI5CkJJoa1i1bNA2Gh5CyMB5tTurm3ZHU6gCk33tMpim+Vjv
E0Gan2fBWqWBUgsY65HgxMDUfLxXbS4OgDybQHgBDowlxYbIZQuDtHIIPwSFGSnMgt0BQdA1JH5l
MXIQo7pWYndi0KqFIG0Yg1ngQcY4s7AwcYFseqbe7varvgnie4Y3hmIIHJbu+0PAN0y9c3x02LrI
j/UxkzaQRCU85rBxC/gIoKAZ/n8JgdIUgU7hkFipnWKl7nZM4/9RayTXI2c90bAqfregaP2kHlDw
oUeXGs9/980rBcdKdjfiPH7OO+I8t89aKB4SFfEmHpv/K1y/9hymdnWYEw8Y7yrMTqUnc2m0CaLe
9je/u51nio1BTi93DgmBaFxn/RkfTYV8bJsyw7NUGRwHI9rmaAa+1lWKsDUXrZjzZOvPNrRgU8DH
pLIovtCEHWNlWoWzM7CiaZIhlJvP/frNGr8UFOxhNTVAj8Ef+1dZO11geJM9BYsG3G2wwvwT0qJ0
SqlUdRSE5SIpnaOAwRJcJnLnn/txOp7kZhv6ZOTEF99O+5meNyR9lqd9UD9dGQVEi1otVGs83RSe
qk85AY0pTtMzXQlHn+szXQZisLjy6FW/OIE/Ml4uPFojZTgVLJcfLcU72hrzwpGFrkEDVNB4zQJ1
MQ4YvCFlj5TX4zmJD69+yH1vzzgBU5dBiHQQzCcGvM6DHcPoMjjGGTQwANjKhYpy1O3b6DpYeFnX
a7mLyJAKb8mFuOSMO0Wf1Dvt70XWw88Grx2bT+fUN5KtQett+17ra4jRiXBuSzD+5uqNbkZxcztG
6e/PxfC18SrxTOAnxSPOICaPOGpikPzr8Hekz2Yd3PXtxcIPCeaZC1MWQYfUYGCwypeZ0GghGcTF
j9aEmreswa1lWx/ncxAYhVJhryJHSFGASD26CFSs93I44RLQf4yagn9YS+kTh3RQBk7NwstQozeW
P3yyITny3hP9gaNtbC1wkcr9X2s96aJFKfg+faCUULXO0/RgncS4xKCMY3L3WADLCI4IABP9FycI
bhw89ECmbVHlYFlO/XBe83f5i3ai4QQc6s0ux8XdUROgrnKU06do62dt6fHkzm21mD6g8OS6emNq
zD865j/ETYlQ6reQ0DuCpqo8rV9+qxMNQvPQQxyseW+kb0VQhKQOJx20oVOxq1V9ZNVgXV1uvDft
FyqwqnYcI72C+uMDepyEiDC34NuD6+JX6ObdxjGdIza2TDpehv06LVmxtk9d1uLKPJJx06FZYW7g
J4AGl07OCcPpKANY+3RcUeCfodBOpDvxVgKHQDfU6BA3FxYYd8NNfysvrba3OzGNQ1ABM/bw8TMR
UJ8JBfRNISox62EHRwOsXr4K54FJGXTHv7RtfrOPCSfN0kNmvaM3tQxwryQS8luaBJzgNA45D61+
vsayUw+HNFxWnO9lbcemCQyM+T4T0yg3bgL0Gpn+5kKKGW3AsK13L7g3CZMSIFXFRSriYowXWzeh
MQIuOeWNbKaoZbo/nyM9EX2EmYOCa9qbQ7RAh3o/FDIFCdUmONFxPOtgATcI2ZgBbBZ9xwNV9iUd
+IVDtcdgXTNdgkIqAM3ZnHBcw+vKGaAn3SJdgwz5liPbv/srhucShAysPXtrrf5wBwdOx5lvTE3w
o1tUN04sPzYdxNxMivETchMV8g7ePLKL2BI2o2LVKuF/y9UFOsW9YbKY5xw7xOD+Z2bulqvcU2eh
ASRviO8Jbpkng5mE9NpuXCwRvoFADhjGjCBPg2/xvA6mZso8IzG7I/YAGvQ1q5digsiUrGlCjWdy
n7CMcAwKgo5ptBdHurnrM5J9gES/ku958UP0wjSZaqNtAk/xTrkCQ/AsiX72KOBR3imwNksNHJXy
bCyFovkYzX18RmnoU985qiLoFEg1BpdkuS2nwbd1yBRxeWEGUJrTud5dCx7Orb9jr4yQ1uSmGkjy
9vLEX3C003WKJWXZJu5/2u4eZllJA2+Stw/qACuXr6cVPI2rO82Yp1oWPmCFjXvZhJn00jvXN3ff
yZz0Zn3GCRofrA5BbqCjZ/4aM9Pw4pJsGc7K0E0Jnpkxoxe80Vfgm/aGqGiqVy+Q2JdCQpxZ/UgX
ayZWnivB37CNCJGquBWGebnjtMQkitqoPrFjAypUvFl4ExmwPijhiLWizeHK4makderEVq0bcvZd
mXblA+ht2m+DvqSQG9WYtaaQeNRSr75cuBMLL0Cv6ANFYuwZVDaz0g8DK3jtrtmRA/yUIFONpuw1
ZIXWkW3TrlyiyXCNyQa+Ik5uKp+5+/9mxLyZERMX9bZXltWQlKvCmS3JLVFqZo+l5q2Oo6FWrZ9G
WE2WOWWaHtYzIhoRiGup1YIwedc0htPjf+h7hXqjBJ0wPu6ZcjQgeQJoGCmC67gdpHX+ik/1mUH5
xAU3XaT5Q2cpOH5TfoZ6m34GVNI992KBp2Mn1fQLFbmU2kGJMoe+LZWp8N4sCX5+lAZrL1C3OYWq
PmNC7OE0/XOUFdEL6I+RhbghaMqG50tvDhvxjapktiM9VK0zc674VLPEeqdXxuQKINEIgY3O1C3S
lwR32uECMg8YuQHUQbHgU/oLmIuyW3ydsa3b62T1K5Vqse2iXOHoC0qm5feDNV7usX99zHx7l4ef
hZ8dJ73M8Hi6s6VkW0G4tBLrUtBXd7L92YncCblHK48vmwToQnQ70Ca919eH9cOZoDU3g020DoH5
nrBBosjlG4SkcvFkFWy4+/tpB/yT2N+YMRALzRp1ln472PpbIciFyMOV/N/aN6ICvaqy1lfdZqfK
CQpDLynK18vmDWEGtvbKKsM43NDmjpTPbFa8fXN2nHVosSzKQTByfanoiFTQ/dUinXhDOOSUSDJx
ANHCFhgVkNyDSgtEJFKZbVS4fk1K4FvCD7fFgHTasr1XkXfEHlRzsQg2KMhYL+5FvgIBkoTcTGDP
IXUn2ZlE7X6+/o9GJzPPPQWYxlj+hNaqKlkPzNm5ZXpsNAMak8BFv2LSD2PV2KJ3gC0+wdWt0HGA
z2iDJRG8asmqa1V3lGeYSzA35Euf2yRw3LcV6trOV1V6AKIr8rcFrJf0IeIE/l6zE074gBS+I5Ri
ri3hVTa3CJp80Ipx+qrYNcNndkivM4Ab7BAdSVq4SuJKg8/d156AXwn1j3N9pjFxKaApAutqPVyc
VeFvW6O+hG7I1Ph4n62xiOp9GEZGogYC7ttLUoGhxhONjVMulEl9mkGIMuy/obWfBL9ARog+UG5R
Z2ynKBZyWQUXLwW/slP1lvCN9XXsp2ELtMxk7MSoR4rdfzpTf3vRkDI4iohuVIWYULR1RWlR/WNX
jmOOKP0zRh8e9zVs2DPJTbLdK8CXeJl2BBHr2WeQoYVbEOHjb0DgJY/BjV7CjZJRG0+xB877aysR
Uj3bKHI98+o8XFzgixXegHHzSPWzhLRBS0kw1QGIUWhMCCQwOYcmAAujz+UAxUebsPLOmbyV/JVm
2kL4BOA6kDg3YMeETm/XQoY6skxu0mYrM55y3V/EFEpij8gtl2i5KlVRcPrz7YIDd5KmkGZDKoEJ
ZVFlQUFbX5rFCgq66wvFZ4FbW8CCgqaEgT64MT1W5jh4kuUdLFZnLRnknuwjjankWbiGUMyvLZR9
OPyTMYxDca3095DbHyGnqK7YPXuVasibIBS0uTYE2X1y10IdB0oJrofAyRosM7+kPGZSlhfwWNgN
092CiBEIBNcGaGQiZ0il0MykNoQPKnEHBRYa1+V7jM+rVouabyM6ermyw71RmBCe8b7gASwKWXUX
CQx2rhocl9a6rhfplKS3QLXq3g8NM418UP2RtEMySnSmVY9KvqrPMBIAaUT8pC3+kcooJjkp/WMh
H7oGJmT4Kc7g35DIiCs41ewtJqsqT/gID81FFvwClqffH3aBs7OvOURnu9KyM8Udi8u9LB1HKhDS
If55UjbZjSiwGDrvw9W5ZZRS4mPwXFKTtJB/rizoE5yPxPc3JEbYa+VT+zc0nrNq3PhBvS2STV4z
RX/YcyZfDEpiwfXk0qCK0p06XY+jd/GM8+6f2W1fN0NZZbB8ATsdIfeNo+3TGG87sT0B93mMMQml
9ZSwtaAWFnff6Uy65FJwsNc5pHf06B8DLl/l4+XvBdFO6iwQMicw8FhcQbo9XzXj625NsFTo2aNq
frnAdqEcCBHr5TaioOjXmdR0h6YLXV+qOT5gD1E3fTMNFpgpBhpG1nL1DmcbZsJlOgK6zxxcpTOx
fdv9JTDwo4gAG7YrRPhM9lgNhbQb5SBQbocHMdV7t9MFTRuNV6izFXOGWBKK4w6bQcFZHpKlGxky
LcXCsoysFTLoJEBQopbdtAxYWKdflntua58X8y50l60Fcv4P3M8wDbA74flwoLvNyq50aGEsPKas
jM5tAAJE4Vm/1onQvyKx2BkzNTDbLPb/0DKNbnH976L46R/pv0hJ17K/OCKLhmneEgbPSaSONyIi
TNQ3RSn50/uQ1BUBj7H1U1BcQagxtY9chatozvTiUglgqlJwzQN1jBUP2sHv3E/Gn6vMYuXExXBt
8PH0xrRlMEWG4fplh0UMem665xjrlicQIy48EjY40VUfIGNaW7ndPTiB1GpPlEAnh3pEnXDDx5oT
jCXAYKvwqhCx6HLiLsM7mGfzKMmCiVY9Sf/Sm1/z+lz+9D/NJoRiNQW1VZv8QxzamTHUh+AuedIa
Q5A2gKrRVkqGPo5JUnExSaTxhdKxSdGJP7gRxZIO5xvdrM5twURdgqV6YejG9pBrM/w3RZEDabpD
str/srwGpAlrRj5K+DLvrj8ozAO28MXQDqAD2xAzI00M2aGPE2Q04biHpW+9HNtEJD9I7+GrncJJ
uixAYcjEwmOzi6ALf4Yd+GnaLLhkFzs+H+qFxSyJp1FnBcnODUvSbTT7KbTOTbrE2EFhThBrOu1F
d5TsFGnRjgdE1fPs7rdQC1lSsW9j+GON+Y9s6+KH6sRgGgy34Q/OUNWTaKb0R+mOBS/XTRyE6g5V
q6Kg/T47Q1BOiga64FhHhN3feKzjyiKQ8B6Y7M8G2vW21stErdxCLGkVgiQLITTsWHlGUGCbhvpy
CqJfI0wz+kgALtNaUbrY92zAvWUK0R5lTX8r1/oBeXDfs6agAAP+Qnl4FHxZmXrXc5uk0668Q8Sq
8WbitcwLEvfWrDeBvJOOwxAKpo8wGFe3+SqyKBS3Q9E39boF7wG2zW7eAaZHbe1Imvh/FOq6sEo+
FmDh9wA57uXMLGHmkltvDAMi+K6y6uZu8tpKZCa50ddDm0/jYx9G2JSqJm1T63GfnQmRXPi6H3Xc
9QQOJtw8J83k9paoFuyOVXjvGoxfl1luwF68gqfV3lktAQw54nE+MyQNJZCz1HWw6uJfnqblaGak
2kODt0VLTZxrrPDYuedWPb6e3prV40+0w6emPF9FC3UnQoldf+B2n5DJx2N7XJZ0eI4O4toEy99Y
jC24XY9f2rr5acpttVoydrcQJMV5T4j5cHBgrnmHyvfGLz9JcnvUJb5SpSYUFXMq6EdlZnfLhRmc
6xcYn6qbn7t22IvDlImtGzph2JyoVc/8cZ8y7VGGctOQjzFfoQoeL61ov6ocDo+Zof5HeuAO18yd
BMAnRnOu5WzM4safuQjVs7s61DX58aeI6uQRS2xV9Lg5/Id4OVHJwuNEIQjEWrVRtNCJl0tXk1zO
M5ZtijSn7qlz6vsjcWgiioXDgY9yurHaaprN6X12e7ozMBmGw6Eo80sxS69xapooP5zpmGpq5kqM
Ed40Ar4OOt18/VrJThCykDAlZw9cyAncW4CIIr+ucL7jk+39jgmhSxHXj4k2MNGamNo0ShcY1Tf3
W/wVUkim9H23KPw0WqnfpJ/2QmxcujUV3F9jpBkVGQCTFhNUapKVrY7+q33S4ST5BpGOfRwoIOG/
iN2bdXh60zL+XMH8ptxadvzX+G8sGdhfEP7Ja2NEi8B0YXS7p1WeJDSqe8uReduDZ41DJje93uTc
aTy0X0Y9g/MDerPqc+KByU2AnI/w8NXOPRjCRIX2kk0NT8dS74eOkJqeTa6QMXCWJlW+e+eG+w7H
OxnGqqfdpCc/z+T0LuIz1PGefRLqjxexaKeVpaK6HFEobei+tvXjQLoVnwVxVZd0jAGXhLWjuenB
DZtfpXYXqBQFLiSR4B7XSv6IC546P+qoAZqCtZXroVqldKnoxTPEQ9IYcCgqhVV7gO9eST98sEz0
LQMYfkrm3wLDtrhQhK9PW84br6vpeSLotofKvkKcRfCwZHRYDARDz4PlJqgQdUDlAuYadan6hZYS
Tgdim4DyE8nRcA1J3DWTamu4L0D8H4mjNBSOQRaMPuk6ZJX7ua5XhRlNdIBA3PiKBxSRtw/8YdI0
GaNcssz6PrxuIXqQ94p0focv2fa0jNgx2Ki53u7IZo7pffxx2BT241OotYbXSBHCa18f9yWdMteF
SKHKq2DNCjdg8piGojfPP87LQHSCKdD2yEiuFi0iYt8xUrMfTZYLcO+uCIQXFHGlLmUv1zjGTweg
94s12JRBZ/8f4INpUgz2Q2eDlW6g+PEzair1wJheBRTWSoc/o60XASEjo40bUWd8T8Rj1ZqjOf3P
pFQCTRNojRwHbMIXcF37Pwmt43qnuhQGWveXdfLY+uLifO6tT7crJH1Q05G5HnolAcq+FJ37sRJq
NkD57AsilCLlGZ2YFmR6tYmpnZlol2H4RBJbGIfHzdQSUnVjKbLSv07c5XKGLs5d3OTcaMSwxaUV
r6ChWovIu6vVXta+CDcb1KyYQuccV2/LlWbVuW59Cj2aVFhgtRWherc++9cQkOnK+fQHgRSioXmC
zxUOX2BAFw0tgzYmy1Ths+uRyiQmE7YoSCr/90lCg/zjHJ8Rq7qKjmBE/ySPwNjnXpIRFPfaoY+v
Et871eAcJiceJOQtAQnrHKjHDIeLfMpl8kXMQb6RjvPv1owYntrlUugrYyP6H05wPOoQ0gPwsx3V
AG3UiXxiRJe+oIee74/BTGjhbFTnfAXRgOpJjzkYK+j9HjSa+WKC9GLW0dO43datdM+qI3lZ/7uS
KU0GqJSU74L0WznBQ3oAbvcHsLpc08l780UZwt8ex6mNbOI9zwhjDedrKZWKFP3LitVCdnOOI0Va
dEbN9Sly3+LtqOYDYqVs4DuYf7/6FB5pvG5gIrvUzsK8vKKWwiTog3zWCFdGjSDv/R2segnrvNWm
v7Wr1maoRhX5BahwY6eFUBRbijMZkvOXyecegxl0ZG1MSIrdqCCGEzqa5UotZlMO7UkFgFBqcLV2
VfsE0epqA4yVpggMggLwaCPETjRlMtG8uhR1K6DRy1waveFHDP8nUgm+/3HShmxAsOtsnBwk2T0g
N20rc/Qd8YDOgJK61QxKVoZy9qZQQXz49ljQDqS1lkL3AYtQziN2z10RiCklvWok0AxqqvdFFwkB
FIA7BAvcgb9mGqaVdK2iVUndy1n0zPpx7S9LkQ3kLVks0wE39EQmet11yyRtXXWiPOafDzb+v4Z4
KIHevFjhyI9yOwvpE3J6utLAOJKb77B38vHrIdN+H8Jf4hyMBriQo4sV1XsV9O/wqRueAMg6U6yV
fVW2RvoV2Cgiy5nW3SI/AIz+zC8To6Qeo/dbQSJxMsW1pRqKYJLOzbtsnLmIJqiPO9f7aemhdCe+
2vFdM5k+CUPx9qS6ayv9/rmk5zlBCjIxync90Frum9Zf/ra/OTEwxdxrUIguXtlUBL+KQYWwNvgc
gBRR2Bc6/Xw54u2ejAKfeRDy9lW/R9RjIeUJCfn9eRnLl3reMfbWnLnx7g/DJicOkfL8Ceo+k1cj
qX2zWjCFQ9ZAXgYFOjcABUPWGMEQbvkIbQB0o6dLPMU1gsyPAzIbowDgOdk8bEIrviVdEh1u5IXq
6Y4aToTpoVS3y1Z1YbwMJsf0jAvg6wi1aNYjiussVw39yCcrTmlUeDaN12Sih9xkqyYgaLzBx9mI
/RkksBUDclWsIA3v1HZMfC8hxaqo1FCvFHYRpdqFmibXJet/MK430Bfhj8lpq0YjjhLL/rKKsAza
cnoxpeVd0SLFJQgi0E0/qTkrCP0SUsrXLNL4Q+zI+cXJEibyFMD0HPdYefNppshWu9BLMVAcYSek
PWYQ5eMwSgJEllzEnkU75KTGMtXUBc0qP8AYwD9B/CL7UpIpvN0/m8X8Zb+Nr7xj38bXz0YQ4PXh
QtplKowqN9SN0zF+zDqeqjsZ23s6Vl5DRlaRD7c1a/CLwKv6g5WLYr8O6+1cwCcSLo3z8Udwexfp
hR5p0RizGh91h9wB4cuk14/B6HynawsfEsQFV3H4Ds039bBshWsdwoO9O9P32SZrbAFNvK51s9FG
dH++uO2vtSUzXSzfs4IXq+JDSu54DBMIbtYM22TGIJxfAT4zL7zUANjQxoS/nfqXTg8sgDZFHIOD
PwX3djT1vqFXtiyJBQNluo7WFwt6QFdKKx3swUwEaTO5Fy2KAmEbM9kW5fcTIH+Zuq5BD2OpVtgZ
hZXx4xVoM58d49ZOqg9ql0CBUzbsyDZVgYY+zIwRrcKqBrC6WfnF1AJath/0GXC/RHVGQyKHb9Gd
nSrtv6nRPv9ud/PUottbXoBiUOPSxiBT4pOvsXO/QXDH3qo4Pwp43xDyzh+69VQhBjurkv/+DTpe
Upz1UzZbAdP+tLAZaBncOqsTuaFX7zeezNcqMSdiFCEMiO9F/q3ZaDlZkxHEKdEdvlBUfcWnKZmV
d2Jh5b2AShT559O3iD034rZR4K+NEs4WDZwznudWvUM2clD/Squt44CTqCFaPDSDmsb1+3qa4AIh
t6vkvLiN5gzZn4DhD4fGfHZ9xQTyiN4Rlu+t+GMQOcjv+3y8sxEZlnPhBxXuyHMZE2GmbDT0Sz3k
5NJhxU4aLwhciFdOBziyLxgPqW12j3sQKqGhchN3vggjTuEZRdzoZKPSMhvOhNHiZJd0TuT9/X34
sDB91DJOE4Ts/lCVAVDeGjrdeIfIIJpwm8DletUgydBM7BVIUr1pVCmdJePaRce+N1hKEqmOO+64
th5fwcMAuhby+fJOb2HNjxFncBa7HY7Cf7gxxvzhj5n2q2dzxnOFPKD7QFKqFEoBcKQZTVbloNtg
v3GBvkyTz6269i/aXRfQ069o7Zt9BIg2doAk2zTWKuhJ0zZrbFBA74ssFB/yb82xTp1U1LjVGPTa
bBK7XL6dbMLCS1HROk6MheQ0hMHlDGArNrLMG51TsPX22yrI+r5MUQwmN8cmtf+fN57g7gLb7PTN
e996zHxLSXan8pVdYXEnnIt+qMdPG3QaWvSAYn6UgzQXdYH10c3qDgOdGgQ0oRz3D+aSfzEcFx8i
+ZqgY5OKYm/iTMx/ohQWfQDEEXs0hYxaSqb2ixA/DviAnAHL39JA5t1LQ71FeqOvggl5sbETXV/R
IsnP1qRzIci7eEF3xZRexcmiUgYf0CG2SL6BUpI80kSu/+p7haEjn5fjR01UEtPlR+srbk1qlVft
6wZYIbUVQ0kYC/IvPy+E41sHXnV10RHWwQ9YXDwSKoxtaOFXN11vUhSYcezjl0JuAKGxFu+lTjYU
vMAO9p1Hkau+icvE1EZEN5svt8p2xp6oOW9mqzP52lgZ+lXfGblpJC9PGoCK3RHVVyQ8APNzS6eZ
Ymipniw2SH2IjBdOHSHvyqFYhTNV5oq7ELqCUwUWbYRvOL9LdPJ5msVIyIaPBYLHxEEhHoNv5A6w
Aq9glnYUm7j+tx2kQRmOicW4PSaI+4Mc2eZvI870nAcykldoteAGSt6WMromvD96yTz38DJCjl65
ro4Y7IJR7CwF2+FrPKrcTo6ElWVaTzZjS+IiP3dIu4zD4g3ecYs7NlcdPGcMO7jESlb2TSJ6hOKz
Ch34ejrTxE409BXOTd8/pgW9bbCV3quZweQ6hDYtNT5AZ+YEViU3ZR1enLk3K/5E+IXPjD1aIBY3
fyynEAb47t+2qqQhAIdc8wGGpkIY/IoPmMg50JXsfswbqzeECfuipUK+zPXaURBcP/lpkVQSE0xD
1XBeUd+OOvwTX6hanv77KP52P/WKy3Ph0yXJh7I6zlxvBWGmFpyuGNXMsvfz/sto6Z4o9TrmWq9Z
bD1/NzhEY318UY2Ay3tjgaSqSFtWG6FYkDPEI20N2G3bgkaI2S9s8r/D3RJN0l6/LKbU1Qk1zlqJ
5niJI9eoP1QM23apmizUsbEBBAYU2skPvtd8BLNAaAvJUXTlN27GIEzQ6lpRHteel5m/+X1ZlfoL
p/CTdZ0FxpqzchHS+gaGZoIbig8NQYp3wmGQf1W63MeQS0ESHQ0Wg1y1+iLxgfApyPWTiC7hfoRf
sGM5I96OmAIPhmk+vAINv3rwQy5uKC38QWS9It53eXDQYc7JCAuDD+sK31EH4dDLQSxeHPpX3F7P
biu6/A+fIRlm0KO9XUG1cGHOhKW+dIkl6p4rzHCkrmeMNxH+syt8WvMeDvIaNQ8dmobiUUS/fJ2j
mEQ1oZMn2qhL2u6xdHOMMulR0UXbntu5ry4V26lN6YHqypwczsdsfE3/vUPA20iZOkLVYq4JlwLe
er1YD8iYDW2sK53cTKCshKgy6OwuD/lyfGBPC5ndhdd1usSIXzOFiEO6v5EygBcHcaw2xErViFy+
tnqHvf57i+7yN9/O1FbhpeD4iSkNAPVeAt4tQbh6trhqUp7hWBT69ou/tbl+v3zT/PoNQiRvZCKy
pJ79DV8GYPx0soUBY68iarLUR0/sm3/JLxParPpKZ+sgeFXNvevZo7wJRS4if4ztWB7fH5dRf9tY
33bUGijdTMR3mhjqag4JqyfUe7uNDblBKScxOaa/n1Qgs97UvWW5dffSdAPE1mobUAm5mE441wFA
JspPqHjLw7pTxKsVIDUrTAN28g2wwbSR4BM0APi94Ezi6o9+HXW7Jl2vMjfNJz38RckeyTXoJ5Ro
Kaczp1IkXoN4/+ZwfCQ/vnoe7Xdc3cwlhTeoz4cg46DH03X7UeqiDRUur06fDycOs72Sh8rMYEki
/08ulXt56JiYqJbNrm+8mMzXNLDcU90/BSFbszTT7IWex4YJTTBG1BUo7ZZDR4+itTZnpiRSrGef
ducA/wVO1TQSfPMcZJ047MkN3pbIC58pQDa1bjOIUdqLUaXlcudKlzsL7ZZHdsNhNmYtVaHM4Pix
icX8qgi9/AQ7zVN3CNyRvumsHVcEZ7hBlKh6gXwZDb24shuZi145xkpNoa60g6vaUG7A72tH8JYq
zsaogig2NK6cIDW+FHRCp2AgPp6moS0j54et9lxW7iw+lfPlxAKc/Iaj/Hc56NmQ1ZRXhk03G2Ow
JRIjFWczG6PHanGXOe23JK8b7/aA30wryeY31HFDpjlyQYJmGycG9N5n0VAbEwyngPByhOElHzQZ
wgMm6uvQwDEV42CKGbYmki0LKrcyraF6hJcIvYv6P8p7oRRyEwEYLk9JOfoPZ8Pg2DxZBHPrItkL
G9oIj6waE38cJBVxfYQjFsc/luC/mhefQNQ9CamCY8ther6vYTtEanGV9MnGOkohcgxsA7lz2K/u
ynx5vADEfvUAUExFYDfleySqzlITrdtHcNUaDKfpaiCUkBzUDXnpPsKaWVEnw/Temzdgos+shwTL
0ZALQBdtxubdEBbVulNJUtj10j4HvhiXujbGbDUvs4B3vO+m+pI2oTCW6WmT22G182/7BI4mQf51
wjQGoSyheCX9/wszfuBxKVSVKm2ZNpcDFu4VN9YMjwl6X/Z7gfhdQtBKRF5iMkWhR4X6z/76gl//
lm0+gK1WAq9UP36GYG5T7qQ4B2a/njSo8CkmmpnG/22N3cr9m/3lCKxqnG1Syva/ydVM3Z+smI7P
43F+VxB7UOn27hSYD17FvIGwh3fAUI8Zp6yn0yDE1v69KI73iXJq7KRvxScwc+otiLRDWXbIxLBr
8gthQPdmVUEaoulbvoMMatd6iw/47+KCJLHAPYmzGjhnwAugIZuR+2QpVaGAE0VPjcJ2p9ZVE9Xb
2IJms2Sh7IjOQCbHbJty4LMxwm3cQNJVaUTjeFfpL4ThvxapcmcPBM5ykxX3rl7CQqVRC7jVHr5a
K+Z3j/keyQPAWYEG4mMjYryaFsBcfM34KsrCRUZGHMcNwlidH14IZy8Z4w5e4NOTdRGjaLS3DX9i
FOwXztzBpAuXeKsME9sgXUvABBTWbqHMQReXT26N/H4eHi0BY/lCjyVCw41H0Xp/LC9AxPJDmVee
KkXmsxQ7B0YdsRJXm2uwWjRR8H0LNZInvxt5+H5mQ9wb12gkeMW0odGsX+SExehooVNtdg4GvjOG
Ic4QWMPktWPLbdo3VO+SoRVowJcqUsljeq9UBD7R7fe/nyu5rBWbnSTYDclmhs/4UkFZdRD3XGTY
1En8WsJKyxqAHcuDxPi+i0mdOi7llmSWmtaV6iw5sMcWrhABMACgjbj2RhG1V71ZI1Akc4G0IImk
7ULzbLn13s7CkM7Wm6q0pBVsN8haIWP1ZCOnqD7Ch6SNIGRO8fURtBH7v4eH/hh2Y981Xt/fIeuK
J0HqarCxALG+C5p/n+QPiQRe07tvEAG6wXc03ZuYfpMkgHXDS+yQAguRPPGq554lmszYjVw0/SBz
VMdV03wFpl8zn+eitjCvlftvtTIte5dRUllvDOsT0ek86pLxWN7nrQNILIS+M0k6xTPRuhKp7uqV
SZA2465YoW1AyVBOJNji43VfBo742Tvo5qH5lKzDIy74NF5QImWRzYwQHRLQn2WADJrZ9YYgaAWD
6LyDBkg/zxA9fJVD6FO6KmFGpyu388SMimeAATw/9oT6f/FRxS6C/E0wNuaC/L4hOQs+2RmQr6gm
vUMcs4KRr520jpThqdcmA6LHyiuc45GkASUA8qAf3yQIkz/aOf8fDNq6IrZx9TpD7EXBNKi1x3su
RNczD7vPRb1oajKAEx2+j7yzgZr6boA3aHxGQvgoqB727rlbETKXxG5w+xNJ0FKOH2NvirXKV2x2
Zj2HzJbulwF9Ar+kP2McUyqQTvCiuMKKMKgPrPjAQSvwhc5XVaVG10ry2cxjU5ZwuiFu7+nT2pHK
SOZiS0i9WAsP6Y+LCS6+DtocOeB/9Ip3aF2Rsf7WGra0tzSHGSO2J2rF/oEukaNHfBS0IN9CPicZ
ahOmXC59uiWKjlV9tsUFWxXfWFsBAueuwJRwdvM3NrKbZrWX+rqOXvnqQ4BlSXjuenyU7of3XW4k
PaHh33ZTcMiW07PEnwQrBLLZ0AQW892HrJUcIeIrFpGghD/3hvZ1tLoFsG+4v1FLVKykpOGc2cJc
3N0VHSIBCdumX9lV/0WBLB2DXyNe2/f/eG+r7l0hNVy67OSd/vVEyKzcEiqzRKMLWvqkWn6S4Kmm
C144wMYQjuiIpXKz3atTtySBqQzFFscsjv9XG1tlx8D2x7Fl4UAaFV1+08WjZiBUEQznbrGBzytk
4GkwVZsi9MmtipgCZ2rm2byRacj740htsunhADlozezf5ANwuAn71x7Xxw40sdqRoHHkNk4Gl4XO
VgZsGqK5Vqv1Of/sGehnEJMM195n+oAQl4LvRP6og24p+9G21PGorhQSs3oGo8aNzeTpfXM4xADS
jnJkPxVs7Zp7MU4GkjxisYE5yPAaoKJ81XNu6C7E2zrKtaill5Dz0uFOZJxcXxTNcYZg49v2ErdN
3vUWEIL2OfimABVSkpaA6fTfFseAlEIglslp+sV7XW3YeaZZldIV0VRnD8drFzXR7xv6ht7hRbdi
iA40hG2rrsuWOkl/hsFHPOllp58fKIsfiQYp3euIOalIFHXdHv2mYm20KFliV6aWEZB6mUPZFXJa
1BIzMl/3WV/tIZgSE9v+7MhgTUXpl+nBU2yhLqlzy/b+IXiQdqkOz3uUa/9SHOl/Dg9KJs8s1kMn
o53PpMGAeL6beW93PD3WksxALLAr509E+x0vMT+FtZrWGj3Co6EFBS5ExFilfaGLyKE68KNJKjHT
AQYVdzsmUqpWgWzwTWwXfzYr7XVN7reMzy0fU9fn+gsHUy5GwXj0og/6PUg975l4N0tyep9bfwXD
QcJhb+VbNp/xl3CIGmck7rfGPqws8I1wW1AH/zQSJBnFSqGU4qi507fRyLCzUnO4meKm1sJTF6l9
Xcaf3E0NboGnzA71isjEciJckWh86MIcrUrGB5VBVor50WvBqTuiMRIAlUy5dBKMAf66PgRsFysw
y1uQvn7uRdtnv6a8OUZJEqevMAD5wJpl+mH9A3hi4TM7LVSLtRSRRHx3tEvYQSlXPQd4HtuDxg68
DX0hFw4wqFzbTG4dRFKMh+R828/gPc23qSD/02THmDCjnyy931VxJxHS4gUfmW8rjU1YeTcK59ZS
N1ZaL/ckDCnuz5UVDbfZxvaTDiBNCGMj53hhAr+VcqD6UmN9MK/LMlsIoQvZjy30GC+ug1YuWSjf
XRKQW/TK/lyHZ3pCpB3t2MrcJsGpHfOZ3BmF1I52fVPKfgOrfw0AOqPHGP/sI/Rk16nj4F0RHHqo
dybRqcjErN7dqNSdQeOm+79u1RuoFJqMDpqeLQP7PDueNLVkjWdcebV9C4UPFsK9KW7QEvyPjQDJ
D6K/j2o6HdA7PqUvQzDwKkrKfd13wPkuIWwsGqihkLiJcWT03Vmnpxrw7XeUc2jlkLFP6ijXOPf8
UeHN8a0FabdYEz226J5KWz3feCvw2bSm7XXgjMOaMSQC1Thydwh3H8ESAaZ+tGxNjuOrE0zWW0Lg
v0B90Yr/WSjhI7v9+ysuRmCVQuJjgkB3iCnWBD4QBkAtBT+qGDIUslEB8RmbdPYm3G8DGkRn1uhM
BvF9BCWUk2dGVCU9bSSKf6V/CewOqKF2XbUxllCaI3aSMU+Hy5T0vDzS8+gzDVddL6l4JJdD0Kcj
CB4CKTArQz4qcsydDvIE0J2cKr769VgQetYIG8JMFdTyBiprL/svmZRTVFFqbv4ODTfVGu4T9jdq
chOdjpFEIWYCQRgz3w3AZJjqc5kdxPjF+soMLRaEmcqBC/N7a/giYzG0lhqFi1x36DQBjXYAE0JA
DLMFJIOIzqPc39S8ijkg3WEuTRi8w8HLHgYBfl+4yq+mbB5Ll/FDtg2cLayxxAT34cbEF6HSIS+Q
cgLupz7RUqB1VmAlYtRcNbON4+PK3egsRldSXtpAjLxfdgWZTnjxwYwVnhNJk7VfzFAWyEN2idet
dZZI4Yf90nkTuJEaBZDYw57hAILRzyJ3c0UmxZuzkgrOEKbJkn0vlbqJKm9v/QCZFAqfIxbu7D1U
ENTab02tTfbgCs28E7mIZ+KL8ulw0lzUH7Bx0soaKm8JeZKRu6XQFRvo/3addyml2n2KJaSuSSpz
sotxQbczsqaqr+vmy0wTgJQjOMXWLALAE2aLFzX5rSJxto38zrAOl5AGEynvoH+s/0PXWNQBtc0p
y0fOErhtHKA2aqMKruCKWlqr3jRV4sEOLQqjc6bu62v/oYnzZIQsql8HotYapwf+hSl0p9H16a74
t0JQq3q2v5mGMAirp8svdTG9fVxh2Dn5DOcq3Ipz/FRvnXyo2J7GGiv09AfCuRb+MWfDLnwHEjaM
bCnsFI3GUdYKlM1q6tDk8LXE5u8BnlrG+4/1VqAHseWXBtwhsOvMCqAHHOgann6hRnOwI/lpksoT
1Tjs0iXBGv0T7U7DNJIqN955zqSq527WiitknA3bgVMFrdRMmLpMV1Wa267cl6NHJ2HgtBBMcZtn
6hjNMEeFr1+qfS1yC1jfMf5qvvcK6w8o3g4fSTJxj/VmgPe4cbTA70atboiPXhWojHXDg/rBwM1p
yk/0rdZmArZzOw4kfchk50snPbDKbQIgR5Wbn6YcxxI4b40E81mkvLniEbcIF7F/CGYrghKYXlW5
9ak5oKkReW85P0uP1WMJ1PV0C+Bryj2PYZ+nt0G8/9rQ0E8QDfwjeg4yrzPg5J7JdN+vhJIjc7sT
IjpaIpSqn56KeoHqNhGZNNpAUl9Q/m+nBaz6UU3EQRp/dOIRvyzK2dBNOHszfS6YQhBbNqSsWGKN
sWTihzz0I73gCFu23uH4CxmoxjBXown/Gx3SShrF3SqyxY4p56majO5XGWFWzXL+kIFZEVTHDvAq
6U0EYVrQ9MKj9XFGiZIunPPY46oBxIDdNjL6c9CEzbHlxvD5vdlMDZh9mGBHpGgszX7/+cAbTdPg
zx8geQbgTL05+bRHKku7o/sIBkKhclFLF7ugn3IyPrs9C+BMqehA0MWXynvSEZr9Kbtqv2r+9Uma
99dQs5XC1GDXXIIqTn3MOgH05CRm1t4WM4S8Qfsmq9gPs01heX6gvGnX4x/+ZZuJecvKC7cdeT6V
BIHEZh0XjHzuf8LjMf71ZKRI7/8K0At+Rk6K6CO7JnCNxkmZMYdR+vR/gNkVceBmsAgF0B0pI5p1
pOVbM8D5YPh6gCsPFKP+KCv9dx3YpGTSK0bu4VM+shnJHh0naV0vyeCowk4+CeBe1DImgv5m6BMM
XgYa8I14wPfcvhQuGE0JIbwFCKfEqdFsHCdGiGKxnlgplbd5ltRHSAR3PjC540ibgjxpJOxXlWgp
auNc91+GHhE/f3XPg61ePe/DBcNhJLEyxhi4QiQ6YbexnrHezCh6XVWcCEaF2ta5vzqexS3za+RV
hNCxWyETsYI4MHfULJgfUgRtGMCorakGRX3DypyljWiibWsSqkuD7DwcF/Vgj5xfHZBLG9IqDXuy
VP5hyWNJmh9TCiEHN4adVjTtGbnVOEXWDVh/LsufNe4rPNVvDQozz7KJzPLYnDWCjm0qxWGjK2NL
im8a1Q5aBZ+RJTExjlM2xxhlMYOA+sqBq/6Na5PyvgC+2YAdaGX5ydDsE67FBzIVBpCgMAaRxGe0
rDEjrWAv37ABQQ9empOY86a1CivG8F03u2Qn58E3QGT4lreJ+lT1Zkcw+MwFkfBdr153o+tQZ0uv
8f+mSxMbP0fsDI4fuaOaKrwL0J6PY6rNaWszJaZcjrNfWui4M7yomKC9ErKjUMQHuP/3FCoarGHs
/6NPHnTjtnka74E0kkTQyPTCmeMTVC3M4WVQ2lDttS2wp3eTxln9RvJ0KM9VtJeeBVdpheXp2xyr
6doSCskBFqvDnbXbBDnUz43HFYftbKzkBpdEoob0k+ScDTyfsWa40sSk+OwcydA9kk4XWEZ5CKuT
cfsejibzHPlbBZ18npygriYaLrcaVcOellLtUod8ygvfDlwuLr+V+/4ysimHixdiOKqdizNMV3Gj
fFgt8Lz4KgnPh3+CXiasZqcLGE7PhVcxOcUPNiclGZs9CbKXI4eEZcMQHGmL4cuV6c/mpCPPBDBo
ly/rcw5cddPXiLxgwhmApaGknBD9kFbMsJFczLu1eSmNhn/oGCXvxyee05me3S98DJMLI95A2QG/
MZSBLcqzitvELvAbJnPSQqUp4eULc2S2kNbNyZ2bpUEAR1S0LICt+FwjUNM0lArX+TlXOK0ilJzk
l+TL5kyPGuaPQTvzsaNZWE9Ncm06mudImnJf72/kSUkUzqqk6kP+I+IDsJDs6QifpLDPbKJig4Nj
CaJG6gsP4TYNutmg4LfiSBAtIfhurML1OXoM2HpVgwuvuJX4FQdPuEkPlK8lStngVyZsdBCzrPx5
dmiybu7p1hV91UiyHEsJHBVKD6M+lO5IH3owjZA6qqUlnmW4lyXK1Opf17j5buAvikoHIKq3IOAr
RI43prFAJ5EFPDXxBmC7N2Wf7FILrQxstaUxJWHaCBbY6Y1QeEj0T/I9SzJmn6sZ9KQ2tFIRsxPy
jXT/h7Tnm+lSwK+zontiFErQB8ZU4btdcjZ3mn2/K7ev5M/qP0kVRE7adLyVq5HoVS1eP3VPODcp
nigRiwVxh1KHtnFdCaFISNPReTziDlznZuhtCzMgvXeGe9M9dhOv+nAqeZsDtPfjhvRpThlR19W7
wFPaq8eD7OZweVRO7/6927h7aNPf9kz4AvakulqAtOveoBI2d8+gdv36x66x6nYLuekHAXr6AwMN
ia/v01utMC73YoIUei13LXalKLSGEY+1aaXnABvC+tx5EGmmWu99NQlHlQ+6e1p0XIXjhWpKn6ow
a7Yx6X9QXl4Ymun7hlwrV9RBbSeDD5y1RNitV0PNF/oEVQSOfPzQLJK/vetp12SavWEnIE53smSb
EFXlaUYvjs1SeMh7tRvNz24+rWSW8EJSPEVy859+7HU+SVBbFQdL+JbHnv/jiY6tZeUFxIuDTeFf
GVcLMIejq/lijsTRwMaJYsOlR7/uY4J1dfhMnlj3KCPZ0pNe0MmyRu4lzcs/vEZuJXtw/FIhK0DC
SV8so5h6TNKOKLaYaO8B3NMP/o+MW90MP7dWJs0YhpTjW9+ymTwsXPdjDzRcSqIstR8N0IR/UWQL
Nbd+Fe01qxcYLSx3RiridDaC9zRFSyJ6Pe35moHLhhkP0C3SAweQTxTyJIbWF0WVUYE2RJe2ntWX
mDF8+9gvsv3zANGPa0y9SfTDbXfGbIAc+HO1KXkz0IdYftc5jd4sLU+nQb9uy38EofEWEJumileV
ipqn6wVO6lx55yatgu6RvMxa2kePmLnYJ11h01ClzuRY/98S8vUPKIuTgtUcQn9ZlfCQF+B1UOhE
a2yzOoBcX3SS9q2jik7ehweo42iSIhfaxF4CUDHWkGR9oOw4xDdGXAjV4J/zfxAW7aLve1LCQI49
UKwg9AK0vYsWwUkZZQYX0G3gEKP5+6AcCxxdLzVH4lUi4wnz2A0QHjSm8uoBmAytbgz/T32itlXZ
vtu6U0aDGLDYetUSEPfL7DAjeLNM/Dv5qPe8ikviBPaL0EZTgA+cTQMQznCAMRM1k/W7rmO+aT5A
J9X8zb2G4De6ynJAcaBJ0H27MrPOQUYjwz5GRN6mQ87sVJ2b/Jx2iVjio3WIJ+ci2MGvmiJ2yovL
Wi5fd1do2ay2VGGSya7N6OkHM9QYZ4zoqFH3T6EKC4MxCSkCYNGdTkn4cVChG/I2RVnGbPVWpCG+
Fq88SyU3EbabmT0dhvqH/Qy3z3Mxr1ZEZJHr7Ft4w5AFwDvcB2GZBY/K70F2F8kdaoHaqubl7FMv
DcS5JDb+PL+vAAFThm1a8D6LisvgSu9IK+x4eNCDXxhhNFaUDPoPR0IfwNseAj9ku3pdD5bNuGyq
38kwIrvOLMWhBP3jJMr8R3PlKiDLp56noYYFsoCLWElY94FlcurLRKqoajvd07Vld/Np71l/Rw8P
huzJYy+LXjd/TYjlBjLLBwOpLDFOSxLjBeZIN6jNdH2U/VG6i6B1Zb2YOTWg6vQK7pAbWaaZ1lWV
Iao3j0P20pleZe8V8Q+Zg4fChmzrJRS8IhvzzY9L6O/Ub9bEpSNhRsiaevpmVb/Znt6/kd4VgIGD
37Jr8tuqgsXhX2Rl0uuJK6qo4BJO7CsevxcBywGIEY+LUU2f9RROt5swIp87psbjin3xdwM5aUpW
SlZtjT25r1pAQkWt/XN1jTlBj2ZrlpXt7HnEDleexUVzW+dUIobYNX6LqELNlcvWVAwAj1Q2HK0/
XQg6PD1138OBfcy/ToEIbQZFV6xCzNLdJnNlgikyZ3+w9Zf4AcfdVplhhnmk8xthncyointW2Umm
B/37rpWqvZLqP+AAAO4FI7uK5na9poTgYQNv361l14G9QGOWIJB6Cka/IaC8cNad1fXh3BaVG/tl
TudIJ8EGhPEtbk9zjmWzDu7nm/lH4u3RrWXif361EOiSKBQxfSOVt0YRkuYgLg+P2wWrOSHBubA2
tO1+VrYxysbMt9ksDDnSI98XnZ+GH9M594URjogoWGfbFykRI9VYrkC3+a63MZYaK/bgVwcwnLBJ
sIot4TCqlTcSVKo8Tz4xmjyQHuayFvvymPH12uAggvtG3rvGqiPX117VZtFLLPZJTDLQJ47FMK1A
Hdu4JiQre0DxljAF3CQthaAmn2ReX3A6SnbR/Jr1fpp+OXcQdq6S8td+hGA29gH70ZlXskoxdIGn
AH3XrSFFALXQ3bQ2pBjyS2Hvr1i6w/ZRo0ghubZT1R9+/Bi6MeC0unYhyf6/SR3vqXaXDjCM25aE
vj9gnNRo6tc8rSk2ABn1z5TR/KF0x0/wU6WVGEnaKaAWWLngu6UalIOJbHmDXMaJyNG4RLpB4j9v
M7jK3dLFG3UlpaOTWbuVsfln+wFg9zCIEsxDrJFkiO5UA4OEaT4YiTnyzyPMOyWRmecOVjkp47Bu
dd+Z8bXlx37vxxuxn6z9zhAaTvWkWLuj0aqj8pZo24JZhXVLRcvDjWjMBoBImEPb+bp4EnFn0tWs
+H80j1mfYNCFTaChnHmRhDFn76HsXK7Cth6ITZgqgK2/0c0NG3IwlkGrypJFlY5/tAETnJZJQnlS
lTHsPeISQch//ZrGzMwln61dZvxvG1yZsd1Qgf6nmzGab1SRFX0OiUQQVBU0lHJ4y8IbF301eNS3
zl/4XOfZTBSpxDmtOIVzHCdBjZRUJAjShcGOADOxiqCMgln9F1ZGiAJv+DUiQ1Iy7Zh2IgCiomOX
XSFgw0CutADd2c1g71hjVc1gx495W0aN3YTC4HwZj65oIHgJd0H6xti4GCB13inzQP1cUakoBrPu
xn7su1auyS+e7yJjVyeB4bBuOpVQjeBPotq8PiglLJEqvw1yqiFMYLV3Fp6cBYdQfnYBHgC2KCgp
X1+hYoDiGGK/JX5QbaEV/3LxW6OIAsuivFhc5pztYVCXxsjys/MLHjCiG1lOmJoVtXdnchh1Leqk
8RTLgnqrtlyHSUX3nLhVrdE5n/QOgKDuENol8/JMuwwczIaMbVtkiD3U9CWYNH0wUDofNsIChKBu
C9YdqwpiAkgIjsf+lUTiNEBeCxHFFeLXdHqplhjHOSGDJklimtC8epjgkihEpC55/Qynq+y4fgci
48N7o+Bq7kvYrvbD8+2e6kcC2m9bAxo6SehY5NTBRnwF/wRVkiJeBU9Q55M2Rp5KFR+v/Cl+w+yY
iCLIEKmuzQzjrLHR6GgdE/QtP2kOaHBaSagMaWAkd1S7HBPdHh4ZzrmKC9LNOQoLqRSZYWx2mLlY
Mqa/XNyXo881Vj7q8+TmVG7ITC4If7R/2qCBrjbHQvU3GCfz0mrJSthxmCP/lvhTuk2xzIktC+rw
cOatYVSOcW0E2WKl10yhduQXnafBeBXQYK/9vG4d9RdWoKdouoHahs0KyJssN+/eXUerp/IkM8Ag
jQ4taCu36mDn6Vy6HPknOeXSd7umIpZqIR3YIuNctGdjtgN7DJoQXrJ5mnbd20a/+ka0JLagZO3F
O4ZHZyKBxSkavqE2leMfkMiIlf2Jlv7x1sH/ePnkov+Zbj92By36PsJIENzizkDotw3wTIBABCiA
qGfz0KmkFEC4gshaEUFYoRUWEnY2n21obQ+LFXn6SWLasdcC9adQ1fY/bChvX4+gZ3S3EKv6ldd5
fsth3eqTNdbr3ymZcsm63a3WEbGVi4XuQFN8Avn81IW1VtTfSSIw/bDvd7qAN6syJ/ueiP1Sv0zj
jE93K1YB4N577eoEDhNjdxUMIO8x5+VGqjGZR9lUbMjqhTYPpp/wvBCVUBl5yP32V4RYyh6K75Fn
H8yyD/usmWSYXYSqcmUIV/OEFHRx0vryEbIiR0/M7Lhs/sChFtH+wlBbrCfDHtHaZc8SykT5srgC
GjCIJz9j5sX0WP8b8KezVnOyeCyEmGcW796l2vLdhm/vmelB7GRIhxFVeQtoiGNZubWWPjxEu63+
wgebf8yu6/RAdx7CrgSb9jRmqeZ+spbHmrfxceqfakWX7QLVyHZ/hhuRvbhZbkExXqZl2/kJt6FK
6K0Y5eYZkL9g4HC0UbDny8x3isQekaKynIODDjWRaX6vGEmrPZMlrFl7LpQN9EoWrHR2AlqAVxhl
ExzScB/JcVcEATFGGetS2a3Fue1UtJ4eo4nlYiuEMINHNFOOEG60B1rdpuNfvIcTnZob0VPg7oQd
KkOmFxEjj/z/aAM6a3yqE+m0IahaPha/hl914+bpr4BrHkTnJGTPsg0DtA2Iy044MPS0V5nc1vbR
rHyNNYZNfClteha9EN7UoNfZNVhIhOwTMOtkv5kIcZHa9znnAoq3YrkNxOti3iis2o6ZmQrUTqjX
VQ2e7qTzbH+Ll9q5imdHRLLmYbW+y4UczXu9kjQM/I/4NHMMCbKijr9yxNKN51YDI6SaTDDoJ4sj
8sukXaBcwT5oTvT35D3BoLmlzWgAyIVYvpaIU8NZ+aW1fzgXEoRLuhi2HmNBn1Iw+ksBE+zJGZlf
MiCu4KcnwLQcqCBG94r5tIhyc9JTkKoPF12R5CHIQEubpYxOSfWzHyTe4MZAGYJJtaiuWX2trH0q
rUsGoi9noCcNC799t1xYgNtfXTEhLc6U4cu+3KCWnDFmI0E2d0uqZNjLy3B/q/xCIPpg4W4VfKIK
rr2n+am6QtTOk2OyCqBh9Xq2Hno2/3wAQxDVTfCAm3vgpmlf4THKTO3Cm6RYrM/9tpKbKhanUnB5
7K38ZhqDj/eQDadw5zdzX6LZBw6CFo9yZ/2Y5fctFZidLo3kPbu+cD7lORZfU1UGO0t6iDdcH4oM
4lH6FE9MkRKdhW4MO2Dy/ixSMCVm6SQCidyEs4qj1IBiQbXCq4DPdeV6L/rPeHDLgUqp4EX8rWHy
O2LCsFMsbhQvEQHk75TLNcBUXbMW7BdYvzRnmRy4v0mL+2qzIrryr0YhqUtClUsJRe078skXThiW
EDADp1OKIIxEUZmNKRZi4a5GIeFzr13NurzHm4g5lZPYHXZixKUVlvwEaF5J8iM7CJAjKsDKrlfB
bW+COxbA4Kdgm9wDmESIo7Pzm81tGZTXY0tXEz+y2XKC+cvqjQE99jqr8NkaH1l6wMB+zhCX07xN
lBY4k083BoSoqwSvHfazaSoHqt1qz/XUn5q0HgM6OUEHbq8FkMoTnEkaGhpv1UTb4/uu1f3BBuq1
6TQXwoDhiWgrZs4+30tSnO1CBIHDE9OOPt6CPYreEkUJGV/pI7Qlo7KAybZ1kbN9YHwXEMTV7BKP
QE04rpI5POl9Ugt5ay+uYxZg7exgNoo4BrBzX5645tg2SSLtyorQvZfQijVrpO4jeRQKXd/i8sLM
WMU6PB6i3WrmFnD/WB8+M7w8JVrKNWXaeu//Q50AaVsebQxxq5odOqblR1HmmD/xNHC4079Scda4
0O7bypnh/IFYEwoVqGPzmR0mqhCLbV9BVek0Ini7z21lT7TwcfNBLBGQIePYUYMIcUbfc7WzBMIE
rSI81aPz+4nB5E5f4GhKNO5SxeK7haBKJp7SqKpjRvyq/R7UlLGnPVbnuvoJfG7wX6ZdpC/hoa5h
knwxQdsRhT6xrd3gtUvWHVDsRQqGQdvJHbnjiIlCBx3+lDs+eLuxNEywJkJ2SQgMU9jBUs5NGEwb
Bxlne/AWGIp/b103Jm3CIZWh1iaELMigrjONhYfjjGtLN4mBYdBF2+FQVvx2D6MqLBFbIqr2p1ey
KiOv03+g0eRNgZ8qny0dpbHOBxwLED2Cfh6BfaBTkYoz7wWJKvA4pk3FAytP6RsgClJqxBjxCx2e
kyY19PhBp7UzTlLaun550seQVUmn0eClS7/EN+tnQGU5Xg26jVTzTbdOi4MLYFOn1OlLXdFzkf5D
qJpOWRzx9MUBsAxU5NsJVtvCMLj1NqXOYsXEwCSFCurKGifEB93boEyDnhgq/HXD59XVpTq9lmP2
BlanvAYhBM2SJm58XXQ49pmARtmmVSZyJ6z/CVdMhgQQp/fRojnDGPDSRsTx+K25TlNbQ2p1cH0U
4W0zgyllNvDYRRFBLwFQMoyK2y1L2aZHDUOZtfYmTElNsLyAKrxYwTStJ2WHnwhrJAvGW403W4E2
iIJdHX44YNJpngq26liRci+piIKG/fELjbO/B8+89N7SysF7wA5vXm2vt+L0RCbhaVxe4+Az+EY5
18NoGdFWGugbF3z7cv+/tiB/lEVVy8bx61wod0jgG8k0l5XbR49Poo66DDZ1FVfERMCbScoTUyq9
5DpU6KWPiU8qYsup37wlcuGlR6qQ3xvaunemgj5wAe8zPUEg1PeMej4rtF8IaonVx4nC8mm2Kh0D
pdIWVXVGvbRa8UQRJ3lPTDCSm0WiwCjoxGzCr3N8yeyCHhavJWE+kUmSxLnEh+z9wNmdFg9TF4Kz
4mL0T6BFI3IGy+4svPNE79cicwMjDfJ3otj1RabFKiWxXEiQGTqA7JTh5mTNofFcSjhsS9oRY+Lg
4M30IZGFiusoJhKdy5b1S1PdmPY27u219afVL4lH4BvMtlw8A+uiqBqHDxi+a7/5EaNu+/TZkXgK
6s2s0Cmaunu03zLPCetI53LOm0uFW1OKu2QYhzdAHaX31UZv/nWfscVRgXZjXtu40Q7RoZ97dZoe
2LTQqul+01UE3BT/m9j0st6Pzsl8AWd3wnHY+PVs+a1CcJmXomybK2NL/A3iLNIVQe9LqyJySAdB
O7cblX4TnMyw1Fu2f3SIlOprH4A3Y8saO/OpRpcMc655NS7JPuIs+zF1Zho0Mwm6hEwtpQzOoLNa
AOTnPq3fcr7SR8smBxfheKqeyQgolLQY+rSsZJrD0DSK2OrXuUA8jtV0S94cnfHovjMC2jBFrmtL
up/18H3+bwx6dDGIdOyIwXGntAuK/Oc5PR0hlQnEs3aTHpLaoGu4q/2vZU+Gi0OjXncc4Ug797+W
sPoWOOFzGhPp185BKl3bO2jpdo9BmDYg/DWMhshvrtZXI+Z6vgWu8BvNxdzB1vBtVR1speoR51S2
15907PF7gMNCSJjralIUiU8qkA0S0eQ3twdglcXEZerAhgfkOaX5uAfbftKzzMUkAaR35Y96hLFS
emj3EfyKZUQK2s6U+b5sPbTGXu47dgolW4hyAsnSm/LCMJomfv80zWzKYtq64+tX/ZyEv/QyawQQ
O1DJLmthCUkqILMgVG3JPrXzc8Siz87ATgbP3Lchmxafj0LsGPPXSyV4gK11f1oZhCer2N0ci6xy
fW5jUh4t1+HXxW8rtPlWmenxCIQEaDm7iBkj2/k64aFTCe51GqwkH1gJvMjsU8yiwSeeOn+r4KWD
ijy4FM+xr9da9+pg0Us5wlC2thr5IXuK3UrxAeha7jvEHbe8y2OPBLC8rUNxOwON4L189K0zxeEg
0QWdxRHue/mlAMsLyRmz5wHV03KlLlWQuc2evPRby7H1BKgCWEsjJcmmTGqt0bzWPtCk1sQAR9dO
R8I1Tcongw+nbJSlLEwPSTR8tzd0cctoBlfvSv8ZRVJyB5VfQts7YSQt9wZtINnK/mCrrFJbCkJY
M+jTqUYVpi+uSEDNOs6RPBYu/4I7vT6IsFqcmvF9+ZYmxUYT+Tmf2gYzmV9BMf0/OfN8wZXzMkke
NydgL9XXIkLIRtVeQPwIRI47c+A833JGFma4MboGio0HRFJmXdSlTaKmeIUjUZbW3b+wrgRYwwrq
DNyCwHZKePN2nkd8bCLxwccCaw7bIcLwE4xqLLc/Qw9t0RTu9Y2N3O1QbDFsVakO2RBLwBv+emRO
iN4i9EpnNK9UdcP5B1d/Expudsx1jjhRF1dyYjMx8e4C4o9gDe6HGY8TbZAlJ/rPuh0uPkuxQIhP
mUpxq/CKyUi6XoT4lxb2pCHgyM1jXZclfqk7qRBp0zMaW0neGi2rqxKRVXf1ttGSbloDHpuDDEtn
NHECh+vbqnfbNq7pKCMrm4C1Q4E32DOj2bk7dddzpDOOi2KvymYoUDThLFme7TCHSxhls6qlOlrV
+KRA8hduM2VF2OFsgzZLz990+oM7CQ5Zz8ED7KY8TDJzEsyma6b+37fu3ZiFNcWzrvzKmUqrOkvI
FRzSed5DmZPUqow+BcUrIVcU+0hgO/JOBxqSN0j7n8vQAXPTyJmKBpvDnzYmmxnhOQXBY1vFPpXw
UQ2z5L78Eo0blADOglE9mPbQiXTNh1Ba+1SKH59DhDFYOPE/JMwU6O7vE2pdQY4+NqpW5CyhmG/0
4okFu5gjQvORH4jU3IC7xow2k80iNI0ID11GOihk+8uUVKc4C2KcKEQ1wdVBRUibIcCKSXmTKbyL
aNqLqzF2J0lWRJS7bmUbFYiodsGWdPFcs61BwesALrJ0OOobwXx/tEwNtERRfBXOkTaYkK5kci3u
Y5J1Hsl+x9F7Q1kiwT3UOPOcUg/Dm8LW2It+Mw9lBsAtq4T+W3qwBiRevz31qITE3++nmgvtPHB+
axAdMei8u78rJsaEE63ilsGDLE6/RH02uEZUlOLoGeDi9UrLKLBfX19TXJNzOzCs6euKC8RlBxRc
wxHhiDzxUWXIdbrCe3Bv3y/RvmRBWhdcCvIhdyOU8y9uOHfBrRzBbFPHCkw1LvevzISfGzx5W/Xh
c+arfXBXnPxkdmHF6/v7sp/rCctYzDAhfEBQ9NBen2CZPXGNIofG+P+TpH3EomOKGJjtO6CfUeYX
59Mb3B4xhsdJfmVXFX2ibtM5TQgSjpfSNVumWZ8+sKDep2fLSrTJGn3UaXbDRpIcsqucH/G70GQz
8Sxjy4XlaOlmeKQIlSDV5CjQsOVcI64sdrGKUV43EPbTcJZVSAaeLpWCWzFh2TTNq3xNpryxRnJF
2mnFeQweyYeVLlUf7BkjbEEGBH6KgnU51ae/bJkxES2llVpYZol/7aWgD7giw7H/4yTkiMyIQ7J7
bMCMR+HmbVbW7MxkHpbJuDcsj2Qvb99qBfDnyGcl73FAUYkxZb2FduZUboSA4+9B/LJbe0A0UWzZ
Qc9hvIFAm4q7M6G/ITGFJI7MsEh0YVzx3g22MtDUVEvDRQmQm6W8UfrbKSBaW32iBu83cR3N2B0o
uau04x61wxGleGGnTqAvcYZ40oW89W21Jm6YX+YS3rh7K0jftU0rh5J/qtXZaBnyOJhtrx7dsqRZ
TTgSbbzwi5SuDBUwjk+6zpJhyo05knfdbiCo498acxV9Dpj89S1TmMwkcSFmOBvl1BpT1n5Q9c09
sgA5JTz5KWreg45He+GEjKJlmzMuVeEUq7Qnw6ucwWYYQNrFjYDg6S4khTqT1qNmGQSkOWi2/TBO
nBgSskL1gXhRaq1Z4ybtGH+l98c2/YKZ+CxeMo1kuJGvxl22YRlONDtU2h2NFSe8hwaYzGn1sVP2
06xfAdHyKR9McXj1w/Njrn954bVKGulHdrQfZ7znyDWD2FWabDrLgu/UHbscACNiG5R86B5VdYqe
HvwXqyEmQtVEY29GtaX/9jhB5MDU9Vg7iz5jhJvNsny1jqbNuR6rmnPZWMBJVSuNMTlRC+k729CP
RDC+PxskE+pUMamkmyz82hdC5h/cvxpT1uga/qKl1+pTRI73HdKrd2Enk/40VJKDTtGgXR43BN9e
aARdFpwmk4FdigA7pOvNMfxUjSwzKDd/RJvmn+LY38Co5Tbx9Ks8KPDZV8+dw50qfz9lgpilqZWQ
IzcxkIkq6FmIAFco8vXwyz4WuEBYAmIR+WCxNzssLLmm26ME9Uwd083v4HZm2wz/vnK9aNoJLQKH
Arm13TJGEhWKG6ORp17391W97XqrnLtJ9BTs5HCEEgSoZEZmrmpb6cL/4R3uyjws1ACAwg07+Vbc
AiTbaGqH14xECLLiaKZpMksSdAqqMM1RYeeDzrm9OTaEo0yO4Q0J6eIv5XKUJBy2GsHKCb0DKQia
l2cP3dV60sO6Y1lnxfp9ra0pPH0U512pqVrJEtcxn+v7YVtnrOqu+lbf5pjsux+I8ZdXY90NRPzV
MItTGhmlJX8PLNm11pzjXc+OUeE0CSD/aLbUPBpDKBrSzALk5Cx8dw/aQC0Ir+WxTKcB6yuMBTOz
sXhLSfQVsWsRNNsQlUvN1a/qdcVZ3ZJthjwtybEORNx71NAGUXuegy2wmSmMKYPYKK7rJ1GyheKD
BZcZY2iTS6wvGGfNlwfGlPy+x/p4Uk0WLD4mNDZVUQrGWxAdh2kyt0ns2ZP2HEDjt3loiI4p8Niw
5iS7xGaCqWKoPpHVcVuM2HJBWYfXmFzDJEziGqMPTRn48wpEnXSKA2iFgPgKuMG93MKYoVA1yr/a
7fjTK3DMNew9vO7cXwKcAUaXGOpF82kYWC/MXXpvBLvOxIM3HNDXt3nxcNC6BVfG7dbCAjsWjaNW
Ao8dhxJ3KfUieaTpaLMy6US5PSbdM5XV/CrPtbnfhGayln6LdCZxDOsDhcK81wR1rsM1D2PMaujE
4DgV4b5ynG2C6xOO9ddcMaKwbpOdSF38/UGb5ZC1NJx61QU9NsOHMym3+Vohyt2DaDEs0szYtfyx
f4Gg/RmBE5AhMR8UbNziVoyLI16OS7uZPWAvUxCEUrvgmaghOrDTZaopsrBSrTOWdGRnLdxExvOo
LGqq8+4Y1y5uVXu7OFKAYWCRwcYHfiyXDZ0C1MDt5hsAUfxeocoaVMiwC2Lvg+KCgjwHlg/6vxlG
j8RUDKW2Z5YspASHDsTxf9gQAtXa4951osQy0cxl3j2al52EbUC97oEZIFw97K/CybmOR/speD7b
X9WbRtWJm89k5WoUJsspih41BUPpEhwqPlzR5kgAYbHyw3AdQTcOlOQn9F9dkPzRInc3h18h54vA
0DrvvrDPyGf4azaJRmPlYEO+6phFWjxz3cXTTrOZpiVkso02n/XbSLqQymU2ZZUKhEN7TYq44/uE
d9X1YD3i/Q/Zb50wTGygowur4symvsg21kjadv8JPqgTLKbwHg+ZrlyLoKVWImOjTZSuNDHSlAkJ
Voa+CkG3FxKy/MosEbwI4/EF2YDdO1XANXb6qGgy1gRMY1eJ6HBQTrp6IzpM1PVt/9xqu20Sxuy4
OVJu5QOtM9fu6E1nd1CqTLgPFnOEsM9I7NTX2/tDoQ1wlmzDwHYcgn0Oj0aa+EFMKJyzsDfJHak4
zRO5zTJaLUA99d7w+v9NVk1lIAn0vf2qzdmWSQxs8KTUlCmgjJuolQcVxBuGVkeledBG5TeeJLde
0LWpOFw9LzhhZ3udtNj8k4kpKl/JHD+HKNslAmHGbtTxtXLhIvOvKiq+hiDCa7YC2gRZ1aGNa7kM
LrHIpZR81K9Biq/7P+Xzd5VwfTa7c99lSGvnE3enqt6b12JYOwlvXcGtKpQEE25g9k0cphi9ACkc
bePffajs00ZUevk03ypc/UAaeZ6Kwapu8A4zFAnRbtwY/02iEHbqfAQvWuP8fjnFrts+X6l8WRIZ
9Q91vkZz3vPNbbiBDqxBnDpWCTYZ+mSHI/3ikDH3A0ZIsCE07H28k/ld/+dMcQJJm3dkcHikSFzt
QtMWcS+kaErB4CrItLriBMjMATDHex+TUFapQG9qfysGxlPh5uA7H35iMRgZwK8zdYVurOLCbCZG
VC1BAH88iSq01+vxejLqQY190sdT9c92B10O3jy8MXogAt8FQfx1JCtLjOstpC2sQqUE06ocfwel
SGf7Zpkec6t/p+pwSRUM/nvYiYHjsvJOBtqfh4zRzSL/MmQJOOWOamPqCdJZEaFds91iaWwTiLjq
2Z1VSYlo/IxtDRTsmIstRNoFlUFNwANDPzsh1vXhNnnVO7oEiF5Bga9n78jqRWpTF6Orr82rGSfD
QZb9bVz1tQIloZFzdD680KC0MnZnuAzVjP3CyD0K/LR0v84TYDR9MmdmgSS/vz7OZ1L9LWouRRds
sxh/JoY/oAPgFw1P7ErUjLYhWAAbyj9NE7xFSEJ7GY8fQO8FWA0AkSWzROho5R/68mrAUHXn9kNQ
SpmHOPdyXVplSgf5yGJS9+tCnDKoeGHvPLBGkHvP4st/vtXh1uDFSoMuzGebSyGeJq10O5Avcp4v
+/8ruWuiOf570roDI8sg1vjpr3/6iHcP4UBvz94UpdvtvxFJ6czBcNwIR/W3Aw+UbNkhpsvnfuHD
mCIurNsOcv7ka8z6X/3ktuPUyv0xG7IrHWqG6MrcdJwnh401xIfY1Rxj1Q7yINVsweqr5QEdc5ks
tyDQDLnDK+01x9I2NaN0Bh2AHdnKGFMzF6NkGgA5RW7DcvTLcWiP5LrIU6eXD/QlZ+Zbp4MFKi0x
3S/sFZSVPRvqDabbTTFUDTngIUJ4TH1yNyjPBKSECQeCwJejECrUays23CEaf5NYGICKUBQG5r2S
WVO7QDlCHl11jygcKFiL6G+LGKWHY7rUYu20f8Ld1lUTuBik0nv7Wk1JpxNxzAunKVLSPiCCblNK
M+xmgnwDSry7kF4hMKSjS6CnaSiUh8c6vbWVa5dpWmCKk69pXX1KvBfvRWgleGVKQWNI1Q2iXf5r
ayuN5m4i/vfltfyQpMwlKaHVqfmj6bi+Su7LAzXdEqutHfwntPSl+7Z70vG4Jjgjvxpv+qI5k9RH
8QVOKLKk9zfWUXrAKJJkV3mFNSZswppSTTE77b5514HellB9CUc6TdBRGeJYW1P1fOZ/g3rZRU0Y
oxsKPU0Vf9gWdaUgtnDX3QY20VsSoD6UUG2y+4Q472Iyxl0eyt5k49EoftM0rHnGwxAJM2x37Izq
u9zBNTctwWENUv1IIzdkHYHERcKSkmdonE0qfMnAzTUwcuvJm45BQR1CDEXaaGn8A6xb2gSO9Irg
JJ86YMd2NujqkQmTJtHy9+KRZZ4bEhVltrd0wWmR36xt8Nae4mlk5jy/c+RpMT5gnCgkNhOahzRn
6ENDbJBh5zg4dWxFUvzYx2J5yR0cP+cb13xg3iFWRTmiMvHO5dR8wGdXqh7mx/igZ65GMsNau/5u
MQi2j+NB0L9fptyeJ0jCThhIF0FOFw21Fio0tlVh1nQsM6n+wWlVsyMvJi6nIAo8+B6uhSCoUyCI
odZQ4gHXeRppFmXbTkFonaSMdbUgDfu3KwYTlAGWP1F7ghtsZSFZ88H2aWqfXvChh8IUkXSlD+/G
okFGEoU6jpLeCuuWlx6xjtNTj4kBDebRE7t2KXqBdaot8bwR65IfJwwOB2hTnE7QdT3fpQiLdRpo
9OIQNN7MCj6rkPUzbN8c5UJOpaURVL2m+ihGjmUxSZeknZPMndItCoIAk7xfRbTlHz7AHnjs4kbT
bhnlhx+q6Jc7Hz96cW8/ki5yN1SQOUn/Bmh/VRnCjYYjUqSgHUHo01mYuZhcsidpRmbQzyOdoapI
laOQNTrUy+N5JtDv3mv27vWsb7RYb3RSLVUcjNgTksFXQjqHAhAo/4JUng6Q8QHwMWfKtQy1Nl6W
GR8d7Oy4Aqi440BhUnnudu+JNHU/C5+uNWipm2Z6Q8vkXegRqfI2bgUXDYvUJvcR0yB//dp3CgCl
aVjAKDyJrL1ets929dHyWh/gz5dwOMAN3FAcCjbEpY1kQfEA/qx7R6Zf2VDLb+xUT2cdFWpHNOdX
qECOuCHfVEVus9+nugQKclA6uXxpchikN1lcw+bXFf+Wz7/+WU/uJWkDnZyGrztcCrSk8sGA1/Mo
+HyDJ7Z2qLy2cq5nMETXZK9486Rw9iQwPOO04qku2G2doMGTvrP9NcRFWmG8+rkojzgKBBdsUQOQ
quySfEa8LYxZW84zojKXiodrEybIq7ovf+Pl3pVg6MSpRVbpW2kzm1RZVLGvyxWRhIPkgqwsVV/f
3sfKp//YD5Fm3a7nj68AhHIqocmbETsx9WHXUq2feIICjzri0ux0epvyhik/+YNVmutFzuiRX1dK
2y/Wx7gUHGTPDx8f75bkshvpWYnRtBGRXi+6mtSH0hHGul+aD8Few5FRlkhEIosq46wCCXUBN1v7
Nz0NonPdGYEQyGGLSPinUij/RIG1IruwwFYg6wHZf/+ugu2Qgy3Gi/NTt9t98p0PAWngJfoB/lXF
XkwXIWQ/A+66pMUDXcY/2Ds6X8qgBPml+cpLQL5MCloagBNgbzsDvfq9F/nWF+91uS+3uAa6arU+
U93QvdiFzn7FcDXGTN311felDGOVNc6C1ByhQeKB26w7OPN+/kq/YURmjnhYsapNSVwKn78oOLXJ
7laA5DWTw62lwz4gOodAZhSHcqPjVludZkrkxXTLUe0aR6aEgg8iTYgzS9/v9+3bjwuROuyALQ6i
2g2uXiDp9igNV0xfPwslEkmWD2ECCBtJ2ZvWjocvFd++bQdJLcbB4JWqrxF8DeYzR33iN3kCjstp
VeCLf9I6XVWTt8CWpuMkG5kUkP8yOF+b5ThrwOVniOcZQYXHGRsS5UfvDbZbxuX1+Oo03Is0TdA2
D//ITWMzL5oOQKhzKcD91lBsfqOqBvohtnImdVh2oDHe7JL2mxQ+lp5DgQ2WR3Lz6enJsAZRaVTT
3Q/yvhEVPnMUtlVWiFsL4fNx4/eqtCLI6Ch7WECp4VHr+x2jLpzCGdbectEbIpVDWyzasyLNS71A
aqsGqDDRIRJNqU5tlrxsOxT2Del0b/ULNTiZcofAbg0vhpJhEK/OLE4nGaE5oGQ/nsf/VXrCIiGt
oBUfKpTMZO+xDN7q7KqcBJLjUgckqG0yDOlDUxIL+eMrpvWstFXTVb8IES1SRVh7nbQFZ0VRU/4A
kls9YGb23wpzgCuHn+F6PZVrtp3Iu53pbdIccuWdKW1GcZSUxcAuGsZDMJCWjmOE1k5KpHZHCb+L
jQ6RaTSpCwwgouKHA5VWX2mQ3yz8Xd9o5uf+Y/vTg71Zri8vnCANhHa7d4ONlJgCgHcK+1AmSFmO
u3rKSyE1z1hdPO6+Pd1NuvEQ5PPoQ8enkeoCiwepDM6v5e9CAePGUU2MKnzvTXz/i2d0panfv7G8
g3TKxTDDeAC7litchW8zedQ+BJvPIdm8/iEKuW98QFF0Gl2UgsqGJ01Pnif+GnoTLfRxIFWRDx5A
BLXC86UgNQKkxMNyuiUHKv/o9q9rl1/QAOfOiVzjbl/ZWL+cqOxvdtDLL+NRmpfeYLufKwoDiRPy
g7btZKoR4NRjvNAZ4HLL8sPqub7wq+Qw1RgqdsPxlNCMORm+ilmZsLXxL/gIFzzs5PEOL8yABE4l
XP79Ti4hPBf/NrPoMHCHG44/L2gDV+8HbjjkEfrnhABctqt9A7fYlMzfia2BITQXbrAMTxFeQF+D
GOkiewhRlbJVtz9ROo7Z5KTDkhWt7lF0xH4aokK1kyg4fxOFkvIGIfTW6D426ZbRew2zjGHsEghl
kY7M4scrxWky2UBhDxOo7OzYguGdaUyllzuXsYaJhDFFgSxU+7GXiHR7B1q4z+UxryJzmqDij9+Q
26XuJdrqmoPCtQPaMYw+gaBI4V3I2VdF8vs4xPy/ZutV92BZFmVLl3o1ZbbxvRgPyrjfD+uz3Uh4
gO+VkXi6Z49tetQ+rpKj8R/06LY8GEahrdqtdK+N2ow08fPfVfNHVxUiPvSO+0XUDSPXuVWdypsz
F3QmhWTsgCTexFR1ZaRmR819esMMPCu5In3dPIBpD+1AzqwpqyWgol/X1EwnVvny+lc/D2ba5lTP
flbAVeEIceKQjkgipgwu/WusVvFybxq8F8wZO4n+XfHYS7vPT7jPWuijuv8IobpJ+PvVFS8y9GoG
gX3GztcIUPsX3IOHY9xMtnYTS0oKkT6B9N2/gb+WfLXGVBLcommZ0fBHhMcqB+euAmfSm0rh+I8A
qZutnqGOuncKuq+vytBjeslKRioGbKcoxvAohe4mgSUFOf2RTmmKfnaLLDva3rB0hRRF2hc77jM4
w0mNC0d/r9NGVKRwQeM0muzM6sz3ZvO2KR0NFhujAlslgmwGDFUKILHGRLlQW3bcVOy5E3TaqOPl
ELu7V5pJqaSFh6DnFzmZ492Lyb/AjV3+jGDJZAoeKCGKeFlIUS5JB51jHjD5em6i9NFT7rl1EVvf
lGoZ/Xt32lY/P4ybRqrzVxhkUA/eWw3hjECfmiYrO2SlPqDTD1q69XDBkU549Dw7BoEkFnKplVDX
ymlp3zNAThCjrXuxCRkcO0hg8PE6pNrnLEaSvC2MEUSDRj4w2x96EAB04reXlDR7MVj6AdEl6b40
/7J81lEclALNdZEgrnY48Eo2Ku4jzU9DNKrDn2xARbOCM3ixNg+0twVhZj/OUoWti5QyaqrXwqMe
YhUB26AI14aogdnps/Cn/Vi4T3dqYP/AdHctTcULJPolCMtB03hm57Mq5SVsKKxgFL/9rR8yeFPe
ttt2Eu9SxFOI7fQZnls9padMSOPl8ZeHhlOrk1eGlEnPpwtkKEZfH0JBThEulTi6Cd6JOwNRoGpG
vowXdrmmvG3Hdr7X6MHGy3JX/dz4zNR6LtDCZH7LAJwueH4BUTuzxvH2f6KHU9R2qwRRH/7I4fY8
WGfjbIqTereLaXVzb0QUTaDm+b7YeqMmt30lr9xCvUBy8OA9S8bH1E1jYltEGxetXfsrrjpRitzb
Q1UOgJPu4xh6VJtTHeTPN5uD4qV6bmnBct9Hvk63wVRMYRFSgz+/k3vT/VF0uB6T63HxvpEA9V2m
6N2aPLsFfIAWr5GsVJFcvFcRw2SzmPl2TPd/zE74VHzpJf8ibNoqlk6S3gD0vQqCqHuRs3kHAbAk
x1g6mWZgn5eDWbSknxequuymXa7h/pyfNxsaZhuDfIMnCO6+CTgw4HRr2TogRuuGMUEtLUFHRKVc
Oy6+7OXLZEPvKyVCBAUvBRnVSWfPix3HS0LY9rRUhUAMr1Nsmv5C5tRzNqv9V1PUVharFgCsNyvI
Ytkpm+dbGr5F+cSbVtge4nk/85z7vDG0l9hznPVbaGji9/qYCAr9ef8qsPoEmP0s1yJFyCCZ0J4a
KKlpHZIGgPoiaVzzaRYlpQF85NHbZZZ7PLgSWmb6CGIF8YIimkBvwSMlh8HyEcbsUZDl9V/0ae4W
dIVn8ZXiaXl8UBp9dO2j4d1h4zQbj1iWQi0sbMUzcN7iEp6xk3ru3huyoe0Eh384rf0NSbAflLGh
kifD3fxgbv70DRMHceYZLLQqdzh8x5lqcn918JU7YJPHqDGJakIwCO+eiDKzakSn2sza8mNhYOxF
AGeNfJlMKryY4flewVoWNhswtlWs0yZ503qvNgHpju5iu1qabV52NHFz3QoBF7cuDuiVUkCzNxpL
S4xoG1OcLCEn8daE7tDioYwzVWZeyLHHQ0o82w4lNXeGiK5CHkdMl1p+PAdEDc0M4hyat5Ih7r4O
SEwQCzvW7Op/K00BIW1eLx/9D7ZrMJEth7ApC9jXWTyBFGc47XnrmkNldYnr3TV/9ml3CT/hf1DD
frEW4H0SLHejf7OUGptDp4HtAZdsspD+4TJSkC1rF5Q498hRC6hnCcwUszGJOvbJkZUCN6eno7cj
FzCoa3RTE07BN/8xetG/BTHtm0bg8n56JnlBZ/eusy9Ix+Z62e9IMJMZIUBkGYauNLn06EF8ha0X
1NYJU5vC1rWPDjIFkMjVtYqRJNol8TeSr3l1wy/PagL7hnJ1eUAZf5Hd6vRSAvYppr1mWRD8TUVH
wUOC3ZyyOFULPzF/Kv1nRuhvX2JX/8aMwZuW7qTcAAjigPlFKTCJJPAwl3czB0vjLyjP4P2+Fbt4
vr97OodfApAG9Xsrq/vS1WnrTxg6NLrEZQlZOUMiGZhpB1WhGONorTp0ppKAvc6fOjWhY6uypGLA
WGK9GA4+HJfsnUeoGjz+SzhG0JRrZbDKSKNYr9xMmN94ytSZvux9BvEBPw+M4LSQxZtU7T3/s/8C
KzgGXnZ2KZf94weL0NwCMMyKn/QP/uTsp33FMDCLG6QNtmSLXwEmra7C2KdjNHNd1oMUU7PU15dh
0yDlgfk63Oi2VxXCAAGKs7GWzd/lnsIo2b9WKBQzQDQHgnN+YoULTCoBTzvk2c72hbELauQU3ok+
a4uHl/InYXgxQU5rZ9AeV3y6rCrAH1hntTXxR3x6Gx+XOwx0yRcI1rgEDlJsRMcpt7G768+q70H3
HJfD994mhJhBpoAvbmOZxcXLzutdG0jfqMtI2Eg5YLi6ExtOlr/4LcvPFBdEJyCl/EjdlhpwGmgz
MZYwsgdsmV5G5pnNHWCuZ6/upidcJqxZlyhceEBEjdi0jX5Ko142o6bNOI2a0+iBNSQ/ZUSYT0M5
gtuMIgzqBdZO/SHSX/uYfYUnZbTxFjmJQH+MF/H1zvQ61WZmuMIhz+k7HkN7z9ArNfYqc7DfVTYP
i1BTIQZr5KOHO663xMc3PL2UpgiOJ7t+G9YcEU4lLIOWo9vEhNy+jtGB4wWz2zmUHq18jbVGJ1ta
rd3lMENqqw+oWPZMpssN1beE5JCBzE73tV4xnqtBw3SK25k1wFXNHV/mTSrVKxRpwfLEkR/DHliw
VeOq1zGfo0VDr6QD+0+YmOl2JMWs4vBVsVMIdJzQab12QK655lzcetqZgopm96L8RohwjIGgKqLx
zHu3HEW8BbVa0hYDjwxLH4+Gkyai/aMrVGdSZdxd5NT0RCK7NwymzPNcMfWac3OMfHBUFhUKSCJL
b1lkh6EX5+HvjKuplFSrLfRENIyVHWoPnf9K/V1a1iifUjexnwnz7xSerhknSI9S0WbhVWJJwSQP
++17E7xbc3v/YQrXKkSdf2MJpV93+/PsO6S6bJPB1EjYY3hOuvcmWaaUG5MZqzbDj7FUQH2GhcRI
xDNRYrNvpDD7ykGRP+NGlAXDsbcK891Cnnv0VqAi0C5DFERLM+e0TTZjI2JExe8/W2bGqHRNAVju
tlaxLYTySngDj8mK2fUPUGfeCqmaswAlVRMSNm6BXXvWj6rr5/Iu7ObCn7W/+isDfJo+gE4gvMI3
R1ISFO6bbfx+djKSODTFH1aZEevk05eSrZctQtt/SG7U7Ao6qUjDdZH+pLV21YldiDZGWFvHDtYn
giFbC3Zah2EYfQxdpjzSas4c0Hllk8B8380BvsW2mKYrvIiOaffZivKdvjM/2EAT72F+epBdXMND
L44lfhU1Yk5ezhCAdoo7L2sZbgXPmVJXAxxZ51To6jzt69Jlevyp2aR3c/WqOMF3TCwUGkZ3DnPe
g+NHJoMOiTmIjXXrtWgYURXzfBjSOK1AoI9ja1dxmY6EOAz/2zblqvbUur3xPjy0HmzYVUL4U0gH
esJS9+pKuSnpBLi73X3Ansl9vpX+soWzmJ4LRjVlKunSkt3W+kri0Wc5yHjPmMqwE7SpNm4l0ZUO
CQCDz+vqhEqsaMP10/Hd38WaLEy//55qKTdcovZO5hP4m+PI2qXkECQ/XdFCQXe/dZCeU5r16mDF
rAE3KNe03kPu1vsEPH2vQwQAl4GV0DI/GfGapsmr19haEpveoJUwW490kWV89qTgF4gPH8V3Beqq
jYb2cEnr6AH/kqA0TjP3H43OrvrAomnu5IkBasCJ51j7i+7xuMkznIysXahZJdesRBRg4TIpwih7
7Z/uV8QUM7cn1S6gr5mWS6607yF56jhofzg8/zJbjXwWFFlY91aFNXrRqQFp8wNyz2WyfZV9ZqKb
xjtv3I5ySuu/Basjue9s5m2DHlG2PCTuwqI5EZ5zJIq7xoYkrvIh9VB5IFo6IP5xZIVy561QUSSe
gkf3C9uY5/Q8VT61ZRsUOfNc8/LXkSo2qD8yIerE1DS4Ay4/UpAbNqnmgzsxKfo01V9nnIWOUKXY
uUxSjqyRKEdbNqn58Uci4UUiCm6aJ/XUYcV6RtGueLrN0ajTXnizVWKk1vJOKNR1HeiAc4+513KJ
57Nd7dawMPWuRiPpP/g4IVgdqd7JN6nvIpCpkF96uI75yo+GEJziUunILosGndAIchCgcRIpqqpc
gpPBFHrro9UXdmsIzSEIsS5fx6k0qszRn7Hdmh5afoksPneNWHcdG9uL3HTTE4fZYfLZ0sQutAXc
7e1tMapL29mIboFjSajskiDtKMmCrHv2lZE6Dhxe8CTu2Xx8HtpsDn/jL+hYvGHXgY9khOv0YeGr
R9TgeZrKxHy5YFSPVrEJIHmYkhpsQc1IHzdgiDkH4JqubUURP5xlVaN3pzxr8k/HUfsp2F7MAIW2
BP6mil0d292GByO/l5wwieqPiJyPTGpf/7IV/1qJzUTba26uDvOXtZnT56UEXhn00xdbJnsWhuTf
t9a8dF0hCzsRwhZmOKN12kdc7fbUOnYXgGoAnyTXHyuor7vfWh6fNb8G2AunbUi/0UKw+FZ4emNm
cHY5uTDO6sBMduJFYfgozfseEeVTCj6hFDQzxNjEWfi56kOjSRfXXmnleX1OTDTSAMLkRxNpEB0v
7O7gP4Gs0iMuaBVm+zt4wT7mgbHc9f2efnIQkKrmuxvaVd3w4/GPHGh9lbNimJXIcXEv7ymOF3Vp
Ckw1JTIsIXPepT5EjT//gEQq7+cNFd9V/G447Zmr2RqpeM7dPGKlZpThlTMBYQUO+SbQW7Xjpg9F
7qoNO6oORszyOOPGuwfQdQ90jpOJchMZOWcIRA1feetvtHEPJyI+BqGAmWdO4TYqU3KrhcMEYXNZ
3GMhcbRjtGb7QUquPGJp69pESf7NPaK+O9fw37KzrROVMYkQzXrf46m3VZYVNb4kuAHls6DQ6U6/
sOe+bBbxXNelr1XNMC8imokDkwL5eXENuANIlZhO4UHkZN4e6jNXIysi8ROeGQkb2JT60N9TmAm+
0F+Sq8zj0VeVTszsLupglIeedaWqO42Ttry8Lsiy4WiFehICHECfirWCmguQwumD35UN8/Lx+HCj
zszXpeHM9XFuaMn658VbYeSrY6x2Je+MrB+XW1Sc+p24T5zz18vhxNDXogZ9rOMIuCFpWf3w4RzL
vG+eytBHsfG8uAwKkUZczhspvsrfoPRLfMUB0V//BMD8tiCb0pHi07AYpbwxIMQfTpj1FvmN1S0v
AjuhfOVg6UyS3KieHALTjEAKuR4AdgLBO6ImRtEcnTKKryADcY8Kbp1Vrls55Q9w3liLj8RA+kAc
f7SPdl5OAVsB5NN+FbPjabXpKtJFn/7OBYuJ9nSwEe49COYfZC0AWBJsj3/MIk++r9CsvY9vrVOr
aaiAqGlqPLh71wwoVD4VFtN8kiDF7DyjLxM0N1ezm9HTlp6FR5NQ4tHyrdYK0iJ/8zVTxvLIh9fA
KwPijPrjAvzK4wh7SykanvQgWiZDlesG9xAT5KJA+w3RttAOFV6KOf0idh07j03xjnUCTHlVDMNH
gYC7EzsGTnrfQg1S45UxmNvQ+4tlx68wAWOq2fOFoiBYh6gv4Syq4rV16teGmMwUMOkIqiS7qcrH
8ijy00X+FSwrSXxgqk5jFmf8a4b3y4yTsNls/LXij/Sr+FH9qD265KCHDpoyjEj+LoSiC8eQ0Sj6
PGjScxp9YJVilca+qeJIcuS90vA/6ld02M8qKUU4m3rFQqmWo5NHq9fB9h/Q0AKwWJZ11V3VComF
HmE7tSLOJHZp89H3WYtnHkwtSofJ3iAey/32e6G7ZEPSpRtAurgQaQqacGtj5Q/52/Zy/zbbqUzU
wFb453rgQZNaUY2Leu6WOJBGslY3MZ7+FnGo+F2l3vX/HXxwfQEDQO9yIVcLm+LQTQcfvBEOfPLt
lgXX82HmaI+6011AFjIggcwqi1cDEAjulFY0TJD6IOojgvJKh/6rpcX3g97iD31P2WF60wt3aGg/
SAP4ezpqw8oAb3VAndvnRQbndHvQSJ38q1xUxLgB7cHbqN3+YL7PFwW7oorhpo7ZNoAI5gp+Z+bG
KItR8eEPfv0HBlZAAhBl5rrQpcEbdWWwJ+hsPMQTEqlwIxRyOfUgHkv0Fd2WMUs8KFGb27/ty3BG
lvLqW+z/46gSgyqL/e+DVlTbUktN7RGHt/xb2CEceAy4r1QZHw8uycdDYII/jx1CWAXHdP1U3wj7
bRxtNduH7xJDJegcZXMlPXQGGFpCrTFerHS7r9fs6kpIOWr+uQszRqZYQXD7CMeScCPcZUT4qF7c
2900TqYnFeJlMbPttxELRJArrR+xOGpXdU+j69Dj7/tDUvyzfkbFcmOvWQgu2rLwMkN8Fk3WOIh/
vh3ch33kw12BHYHaeH8jSFX1qvtk+Zw4bsyC1+6PnviResLbQNMMhTTRIxJUKIh3Z1pAX9vVe6ja
CTgm87eIxJTlzbidFyvted1NYEkP9daImTESpAfflnx2ys57+EOpVJx6M+Ic23VOJeSIiA4nYxjt
mrwVxO7bVWdNX6Zhty/rrLp/wLrXD898yN4lZ4tcopkxyta8KgqYsVkwMFxAgbDjQ9OZyrAMRWSi
KPOoxd+3WbtE9KutSs5TQs4BNgoIyCSk+ejlqEMvk4Buq9iAwFqfcbGU4+3gMBWT22Jr6VWK51IQ
6iwdaE0zOGoEvihxFuzwytmh04IPMjDEbMTeAImpDkoLIsfGQMIH3/ZvN7OnbEa/yDjRHPVuQ6OP
eQR10v+eXPRvr6oqfwPRpkRpaLvLtqQaur35cJVXyFxib/WoTGuB/PDuqqEA/D2/eUjjETNCSJaR
H+eHDpExv0G+bqTM2nT5AL5YjrBzeUl7qnuxCjtP31qW291T4txIqCzyQwQP1iDAAJU3cPJ/wfJX
bWnwwzrHltcjARCYInEbrwGLwx58m4AyUQ0yYW6g6pdkawe2/gPxu7ilJKI9HKVWjroFMp/UcW4+
mR1E7mhzwe6UNisxzPv2Oz+GNsAJi6jZ8ds0epusFaMdZ8QqP3EHB0cundB0WlvCTUTyDBHC9zbN
16bPvKSA8X8fSavr5VX3swnRz/QZo5sF59fXZdZqEmf2jU2JVoLJDf+WrmmPzELoupnSTIznu5lW
LKLXqg/6gO2eQJ22P2xz5oPK8U7KFyFo5SIITwPJ04l/IXqSGRWrsZgPADhsqD7XchCVIo67KdoH
4IUVsHiABJZwC69/x3QCS238lwaOTObk7DSerD6gywyRFipJEps9fiZMmR3KFu5fhuak1ebCyfVW
APBdi64c1DyJsG46uEz31nPDHJLjWmLZ67QjUdrawKVQWfDbuqYRllJXZWKAJG7z9we34Ui81KY4
9VoqchMzbPTj/HOmtvc/3AdrjrdWsqF4AaRvRJKQSn3c6CYU3AIuiq325LZJZO3NZLDHFUtxXCUm
ICNoJE1RMgT8N9JnkTQ96Adah/sOY74rpPzdS3ckACEoYz3LY3S4UTnjKFqJ8xU2dAfkrvl4Usv0
M8XsxqWyxeYicT4vBxvA1Wz4wz/1Yl/FQ6zvMi+IOPl5Hc1C8q3UPZ/CYX8FItXp1ffAyv29pYCl
iOfeypaHf6utpOxJXPP7D0RV2wN4R8jQTf1qixWgujsLFS+LrfxqSyS+Yt+gem48Z2ryUuav/T3V
QFwfRvzXLg5aWBOFZjjpKeFdyU5+9+RKhNdsz7ozQwti5JCQP+qV4AB1yz9Bna7NAOxdOq3Hr/fg
nFIxT2plRhh/RSCoc/C6I66gliu2Q44QQp/9tp74oGpX687aUcD/ZGjFf5ewB/yt/ZMfn0efHsPP
DEkr0dHhrjkePfdqPBsTcYeEn7eJ0qYRHxGEdFpmYAXy9MUWo9pqJGML+JO13EQUV5keA+Fumrdz
1e/NGOoPcHYktHnrmeKxWgaNy9o+Y2I0OvCreOurLBB5m6PtqhiIS1yJ6ABEyBM+Yq43cxCmo8Eh
HEYdnpQVWy017H+Wkwh2vshyHof5XytMPrKJs339fA9qcO5LBglduMBMRX3DF51ign2Aqo6685mo
xauQBd5Tazr9Gh74bGEV5WVyranzrq2nswfgiLZhZBp5CTxKMxQwgBUYIoXxVP+2iZzD6ojxthow
TSr5cuO0CItVFKUAgXaW56g/H7ZpDy1uhQTdhdpnuuNxOCJs0cm47trq31oxhZweCeoyXUar/Czb
kCNcj086VM/qUcO4bcfeSBPvw5zajEbsPqNtCXOIg1FxMCgSN47fwNCC3xVIH7sjOVrlaLmxmvxk
5NW6JHVCMkfeyi0+2g6lmtVvOrhyDW/6ZCsKzb1yOnw72iIqX9Hq0xufrjeTgyU5EKjw/vUhOeTn
a4ScHlmExE9LwApq8KxDU/BJFr+FCUFJpA7BFwyC0xS5Beq4CE08qERrK2s/TFy+JM8qSZ/TaEBO
ux+q/oEk52R2dXWiGVJXIvETrxIF4IojQEaUXLwB2yg4Rt5aGAljDnK2C2NYgoADmhsrJm6PdNJF
yt6qJ5H3OZC6GKOiyI2n2KVFNoOnLiuSVkwJ0g6u+I5qT4vdsHUaW/4tf+Lh9z8KwkWzgsa+iFOr
Pjm6OoXm70p52N2sB1I+aRZR/JwydIGhnYkalOXEv0w8kzUJq86n2AQV+a4HObT8JgtVc5CK7nwm
biRnOooYETg9VE1JOuABMwRZKCyBQlagw5ZM6wCnvXaPEsTdocgzLrqzzrZOhvppQvPNgVScxeQb
udOEf96xYx80DfJC/gFLQcudOXgBC3YulaHj1sNbkRAcWn0ZDadH9FbvDgWPJClOEnGrParL1n/q
8CSw5JzxLKkLecHmPreRMfyReLoSbNRGxLfcnMNjhCManV64rpwrckPp4puHGPErnc+HXhFDuAZR
ltD/p/ObXaC9clorciWuGZobL8g/VUvWEjBariGKcU6ZIf3KL5Mj8M+mlf+bYuVGG6xuP6YA+UwP
vF0dW2YZBr0IgTm2YYiVwV18ZNMP2RwgYuXWt+l8L2Nydvw/TFOlyOu1uLXy8eOxDNI0ZgCogV1y
fVr/d4/K3zjOFypBJ1X4q3Hij1JSUkFo9JP5rJonVsMpinF9tJykPOuNptqRc3J7gt2H9XzrCgeq
iZmtd5R3dinBjQypni/EbF6Tfl9K2SPgfon/kkPRXwEGQxhcrnGlAfhNCuyxDj/8XhrgjcJJJEni
WRyUkpTd6FS1LiJYsHqC9dBhIprIwEJYiUAeH3NiudbUtPvgs+OU0GAmaE8L5XSyAWGEAjbIbCcP
+LgbkgqOBcPnSYLNpVQ5fWs5Qa40pp5l/6xOOhBsG/3vURjpYpt+BWuUks9qmT/KQUpdnSQ4MfGG
sF5JU6rwvHhkC6UO+rPQvM9ypUBOKkqXmsGILoPTQk3oqjMb6MHVq+P4CmjlD4LC4Hh/v9C5Fhdq
tyl88QEi57MWJjHLyEoyySlRdnCzcSw9MY/M3DzZNB0ELUye+EbKkxq8O1qvtJCjGtrSAxjVvNeX
Ziwbvwp5fDscdFMy3i2epwxhVsEQa8xayw8JG8t2R8awUzC04mnP93UykcG8F+v6+oFAR/tA74Ny
hvClsQEhamKGsgk9h/ERQh0R9fQMrto+3E7+O4BWkfcSr2oJ7wgpxThrlOXeRPZaKlIydx+mT9hc
yYbIt5vjcgQCOWCBJEd/t3pU4M8v4jwkqm7rHLI2e3Kd0SEh5+aDtRRORFKzfDZryiyi38dKxOlq
5joePihBDCLSxaHaMkITBV7baXEKi9wtDBheSpGKbV6ZibNQPxaosOP6CzZKCQHZGEX0jMEIjUwh
D43bOFN+w6033l7XMq5BryeWQQgu3z5Ai99S9ISBuMCIuuhKzcDVhg5JqxiKky147xF9hdTDjf4E
P1y63YRlm8vT52qlckvQUY0pQrgBn2mb6T1GCy6yTrCY3civm0ft3Vm0u5PsUtHBAuHjL6tTp3YV
LCCLsBTlnPdfl6pqPMdH6D0LXX1weNaNC3Uyt78P3vz8yfPI7VpsHiZ8XbB2hmCFWA3W8D4+dtWd
vlcvL5FCn4uKrqgPA/9ihDMmqAc9ooj9nv/iMGTeebxnY7plJpWbqRD/K0ithB4wh1cKbkkSWX3D
C0LPqzHgGMQ42BQnDnU0LPr9xfsPGfyZRLiTmvUywY2VG0tt2RiuXNBY40T9MWA6sXOVAk2FmlNJ
fW0vXYA9ByCNn6ontVdyds8WOT+y7YktCSujypPSwZpm+IRL3TSXA6ANCMYUQzxy2ww6symSsvDS
HcUOtyKHYGVOBjeplAYWrY9TSILwBZytaJwxri9G+ZNOkxTc9KaMjnDH1lSwuiBoEc6DyDGkCJfF
muuQP4UiT889+RlCHwlPrsW5ccks+A+Fl2qg4yrjRr84DGG6jIFsmjbVShNMuh3SOZ3XHMc95hnP
96Nig+PuSey92Qwi8lbmBXK1GWB4jlOCxGL3uCuI0wk60yrRlAVMufpMjQCGSpsqd+qXSuDpQHld
4lYbxj5Hmqya9RwReXef/Ms3nh+CmV7LE6A9K4ECLu0Yh7jT6dXt2Zm9uW4vWLALxF+vqOy2X0oB
m6oVoYecQkv099GmybDurQAcuYOJ+DnunJ3ciPL9JZD/bOnVlWAfYfp2PZzERdaBoE91UsmrkmsT
tpwTayfrnOxW9RU3Ss5Lv05bWfkT/gxGuTME4qaneDZ1qytCFkSo8lRapDLJUIykrc04/gDRWT2n
OJ6+eyBul/Mc3/yIbcl9sI55nNDxg1ByoLI1z8ioWB5hPjNBMPP3eEsSxlUzust2qhByddtZdeVZ
BYtTP5GwbDZqVl/kGrQmUvFn9oU5z2Smeft93KNRn7DrjmbMljp4JZYzwbk7Pfv+z6bB7d38WiqH
g/0GrdE1MmZYXyQI8SXwJEOZ0lUkBco11QdRZMhz6/VBQ25auITHXrQy8yG4taL5JeEM+EgOiMMP
gbDN2LxW3LHUOTLzvdsysBAaYsfyaFi/x1TmlXaQLOcBGjSgM78nPKto6yC8XPZ4Gn9hLWIZqZFs
gHkFfF+QD6e2c+QQEEckgRUbAGjDm8UGHgEk+L0ALd8DeGU8e9p3sCW9VGSpkg6pMDJjFgnXFlDc
qrfzm34MYgIF2LTBV0NINzjGWWA3T3gi7hHY92s+2yePySrzihLqlzha0I/iC0n5X/1znbbOuxlN
qx5HYpfjlGJjcEYk+R4653aRb4/zQ83Zdx3RF4h2+kKrdxTdAridmWnjOQbwdiJti0Yr9jLRuZrk
lq5ptC5bhSOgg6xVDMuYUsukxa2louoxkDR6VEGd3u6INx4E+HKdnFpe4q0lOnYwzgmrL8ihuoX6
spnzXKUqxrMLGKA6ze+oZaI56DMUjHN8yBjIvNAhLx3M/naa30P3tNimBIE5iAsBykEpTbJyXyRy
E4FQVNCs8y7RllnPb1padDRJpNNLdy50+IJ/VhCQZeHDZ0727qqDbUEXgdhNKLYcg9PHSsK/SpU1
m3nv86d7KqHISz/T3WcwXn2SQCSREpuaaZJ9L+JbeeaThtmU5XNjRWfLkZzJGObbfxIN9NhADmm7
z6vQgQTEgnTcO5Qf1d4ajNZvkH8bWORoPZRlUqTrp5F0BaiolzkzX/DEgiYBT2qhcV/Q+4XRsejP
pWM+nrx5VXV9RA2x2jVjxp+3dLlDD3YeyoAvUzEM1DbcM/39gC2Mg0Ai4f6X4Uxu3M9MAh0RJRu9
8cJnNk6bbIfzHAObQPzsRx9cmDcOIlOOswJiX0ojplixR6Uz5jRkyRgG7ZZeIndTmQvzzgh0bepC
+8DLxkq/ied6L6QaL2bLg6x9AK3fyWt/D60jfPnvSqsywoPVmzWLmMkrvzvWoO4Hhgt5naAcMJgz
Hs95VD2DOjhmFHrfK4GM6Hde20oymMy/T49CTsXEoJg1Qg6CHG9wbH8YNYc3bj5DbiHjVs2Z9lhX
xObU0fR5gXjsx5FdKYZ06e48ay/zPnYDLv6UHzsqUj536Vr+oYqPaFcwMqdDWS6+ZgSBSN+WfBoC
Z0+GJdckbopajzoreA5Ho0OQbUqU/OMHx2+tYrTTH9YK+90TMDdjeGn2gXdeGv326HLYShxJEDon
vFFrg6LznmliAfdNr4am31y/U2IGefiRZJVSeeVbtFpUxj4RqvQ/Rn8zaxz44Hws6fn8KYgr+aPh
894WdD/hp3TZzyd5Z3htIJaIj7CT68Vg0wld37MM65kuSfJSjJsaZRx7KWpCyLK8GtXuTXr5bj4P
GeDbpboDvuamu6Z3dxOoseGH2q/jcTJNgLJXl3NUmOnrBA36PtUxKqfLZ/POhnoGmcsRVMVM2MQm
RZ5lT3tMW1Zfbclo8ffNMGLcU1QoNWQzHIcyVHyUKyNo4vI6slykyZxAkbKCnL/LcLsWNePFFEgy
DViUIGpgbYTiLvZKal04FG/FyhJLApij5YYZhvzlqxYtLScFDU+CegLHtcjr3FCtx9qsgo3rVWhV
J2EBL6LwnqgQ+ojQdjEdMTq5g3ABl5uUpOLo1QxoEz5rAa3yWC0P2WWe20UewzNHtcb0B+WQ1uKS
XVo1l9k/79kkoGNU4qsVcPZtXhWp7iUYFhu8VMVSzYr+PJTC2fmNYTyqXbcxcrMfjQcd2g1USZ96
IuKkMFHDHsS0DNiQyDnmrVouxGmirQao6tMplcnCjnsZeQ3Lt22FAHkd0jJzovyHprx5k7hInLVy
ypqIPKDPCzpJ+CaBMnPavuZs7wGtO0B+7MWoQswZ8CpagEF73GgDf0lfI9zLH67DJnV/yNHjPhlf
GAoh88rjCblpknxA2PX+33dOlZQH232mI7loen3b7DCPA19PCY1CmBsJLEiXr+JCLKfZ5I5kc1Mr
adWuxo+owoTYvG9Ml7dXj41bt2179ODoHn1dP6YDGMSaTtI0YxN6MZdAum5kUj4JeHRZ4pCeGUS/
HlcICnLxCudarAFn7nslaemK/Ubfjekngizq3MY3TfQO3PzCVKBWBwx2qMCMnUFUe8ISZ/CuenTe
CWuq0wNvZmAfgsF9RzYnoehvCp7mMy1gP43hJyuwCkSVaHdu8kEQth1EG8x/gKumYe6iYED1uuPM
+57fOVWFkW2e6Qaen7hnvy3GZdLshUzx8u4t3ojM2WtRTG72MMU5mzdPiBnfip3J6rNWUTzk8xoG
3qXZt/77Jb4cd6r77EFlnUyjYad0Cj0OUSODUTljaXHvj0Qabv64oBXYW4lcTPMSKwI0Xs0IsizD
qQx/amnsHSPxX6H9wW1q5hBht5i5S9CarkfizrTmMeMzp67au7qgDBh6wSB5PI5TLYTWnz9BLwc9
IynJ7/P/oIMs9uT/wWYtwQOTh2EDYkndkg2JbI+1eRNuNqFACVtGlwNL127f28nwEOK4bJIz6PyU
dwbs59lxWUWCVwRM8QNjyrj08VyyFwXkqzox/KIOJV5oyyhv/zSfyvSBy7PYFHZ/DmJ+MhrZAkgx
VetT1QqFUPtAG0dS0cwu4qTkhONj6wXu0plBxBeDFfIQwB/8HyDptPsPKL5wNcS5vBHQFngef0jP
KhZzeIduQEf+QDFVY2mC1c9HH/y0LgsTGpQC0310lbDfoJipW2F1ykpKvww8dIKymuY4xQpgshm4
PPIk3ERmkjZj1OHyCO9AW4VzpXVWy4+SUOmLbxYMX0av0IpR+T5cIQBvw96UhQ7xkYhwNf56wvaX
5JMoBle0iQIGz1oCFsceR9fphg6L9gnO9kp4F+HdfyHsCFlbSHydMIAKwk1dSNhZ50cLt556BmXW
WzHBhdSbu4+afG9vOB83vLU5bRofr7G4Y6llLwFOLH9B0/Ca4etqd2C+oo1ktwooTlJcuAIyaURL
7B7irsM2wvAkQnsi/bXoutN0EtO6jKE80XftC6N7iKEOj56oeIsu8ecI5KFHNL3KL518g6/yTYIh
V05XAucxrO04zhjUkGw6WlNGJzP2pKjDUtYf4RKeI1R+r7jaICRGnWh36doNyKNtxMQa18ND/oEm
CQ1RMdta6C2Wmf9rezAcE6OAxwR9IFIhiVcQI3mouizOFqZpmi+BgcZHFH2jBiLYX4qsneIn2/KI
GNaZYGLs4HAekz6nDy2YY+dq9sSaH6VMfOdbDOS0gWJAjULOeXfPC9gwUOsogpalFH4pKL/QpkVP
BsAcR1VZkQNsUhOlyahupdve7/kyGTd+3cU4xsxX3SA1/ekwUGmPiIAa7sR3RqtiyqH04dDvQ70W
apWvit2CtpkNSPpfMbqG4EhaSS/O8G0v6pDzS3ZZyXawnOzWEZ/zkRBBiIZ2BFBjItQcEGNWGNRU
R8r7xiKk1v75JDUGgCroOxsfgXZ/tstQKlP40W2k4+y+J60nPPtFdoxVjRjk3ZZagTd5CIiC3TD6
Wi8XaPI6JEbc9hLavvkHjrH1Rm+kr9BAb45K4ZrpJlRLvA00f2MUTTzOZ/dc8sZB0RJ8cq5m49VE
mHb63+Eq3srVZAzfOqQC5kDTs8P3Hf3j/L1/kXJiyyOiPqr8f1yuNdbtYmU3IqipYd7Nog1Kt/xt
pZn5JK0UoUC5sDOel4WuwMA3taO0Q7hgKSXBfXzp0W4Gm7+CU4BKY1Ddpcxwk/tliTtBMy73Qrkn
p+0ybSE9s0+HQZ9a3GLj/FAdNIOWFZi0ntPq7pWiIYx3AorRiZ2lwSg8SWloqvioSI5Qr8BINkwd
b5Zn3naE0vqy99ogdIPy6RoU1njAtUbIDIvMMsGLMZwLMZja7AxX2Eo57mFmWGN12L1qV1+2f8Kj
NgG7IniXZN4MEYsWQy9s12+dmhD2h7lpSZ4zsp+FiSw+zqX7y5TtAYOpQD+chwUD8kWJGrAhbYJ4
E+1ajJpIlEnxXzvHuIzVPMTdIpsyjac21QQUI39jA+e2BiguB/oL/xe0W+3XM+nqEWEyelGpet70
vkaw/SHf+751yUm6gck89gtCT9PJQ/sajaZkmZjRnWDZGyK8MJ2WyNbFDEjzfb2OO94BjpoRJt1w
5QKQnOK+XXEsrI1a0MSEOxx8+DLqp+KqPiWwhPScQYxVAR6Ezur7o3dED2K1dsWDWCRqeiY1qqLb
azM65lvebw/AWI5ancnYazY6CUk9iRGoo6NmsLOL0hg3bpKgI+bni6Tybe6JmjSX/GuDgdgWD9AN
7ijSjstRE4qUlW0nIYYJjDUd6He+UImkRz0RucSKPRvLXf1o1woc+dlZo+UOLbQRMudpiRAa/f/N
nF1sYxKoT39OTiFYalvmQQRxe3DNcsUFGgHCE4vEJZ6PpjKTy6slNzPKW0MdiIlF5giqHBXulsfL
1hqPWn8OPGUXkfZmaPQxKDHsWCcwJJ/mO+Y+n9Sj9GNTJoAssjRUOhPSWHUkvP7HEy7pmbp0VXp3
ANpjUpZeYk4AtiFy8ncywME7eftsNYhtAU3w+8wOCDaOjEPSWH9zOWFz0fhCT5WCTc7KRARMMvQV
zHpfmPWGNB1rvw+aWlY2xCpjTv4YBp0JjSO4z6lPyatl2wVVjkolLqB0wDVmvziIKfGAjUQ0nDPl
+u0DkPVmJs10j9BhIF96/pguqAINryReYXDvcPnnWv/Fcw0rdlOVfNYH27mwZ1ROLETz+ur84Pvw
SkkVfrNeu7HanxUD1R78mqxk+nOkQ+8tUKEuC+ro20gANoIXX8+UqmF0WOGlBVsILMW2a0piGomB
YPU+OROjttiDhZmpbBZnEbK/ukTt7MBQAPdUuX/UwFER4PagyLv7bqxBMdZZVo+wO4dV/UKsszM/
AIC0LQHZ/5BX+ZSBnn0Q9IG8tRDAJwND86YD6cLnPzWQ8kaNqkX67fn+b+QJyQ8y4kR2u4l3y97P
Mo8tr2Rqx02Vo6Tr7Pu5+xIz/vqC4Kxun9fCFOi6b5yz3/zV4wrymknXtOQX9yjCR8LCSDqY+7gT
+M6Dl9ZobS3N8bKeP16w6fWHFLPZsIKGBQZ59BMyT4ZGon3lcHcySuT2YMp8blaxTnp/YZrlXAzm
tJ0bUavw+blCp+aYdJ8H7wkke+PPvrAL8gGaarkaz8dRFzbBniEKPzSmAtmLpv8fEjVd3hOfmLEV
awPVG9CYVo1JbEUb6lIB7c0FZO0fTGpsvW2TyNjAz5x2k4sAoCLvPJYLWeeMSckhWoUupuhsUUHG
2ZxXYuuhTIqGg3Ck0J+eK57rpDyRTfzZhSB4++GyqLGW4HaTPRXuK5/zqjUeELhLZmfjN0j0iszs
74o4A80qNln52kwazUWJDIiF5C3UH/KUb4llN2kg/bW2tI7SBfArLKnZJlZHygYjdyBIs1k6/B6q
cjgslFbQQ3mDMqED3kzmMY5KRTg/F0zrO/83lbL+VQidSAWDxeOmC33qddpIkW32HdtJEOC6PjBm
uEViOLYHRdiEenYDvA96Hy22X5D23DwrXsu9LreohedgeQiWLf4hQgUXl4Rz7iw/PIBIM4XkTHWS
eE6ltsKPDhWLlAL8jUoE+i1UaNJ1PFTaSUuSeLU4hKHxmYsodV2CBJxhH63W6Lo8iZXkxIyifATI
GVoWj9QoOsOs7zBDjPdzela+PTViiwEhIPDc5F0ea24V2c/C23z7uEdI3r2dHZaKBFNVc0bShqss
i1i2tMcqxEgp4drrjjhFJgaS8fbB23NiIeg2oOSxeCfG9+Albx7EUBO8hw40SoinlypAyxO4k/+X
ZW96FyTBUOGIDte4Flinm+dnFEnd4tbA7fKm2qL2k228xvpwVr2OwcVPAovihRVufP0PTdjjUqD4
3gPEOl3hFfgXK0e+MQO1Udr3l+i3C3COQQJqnJye4O4tVvTAdgurS783WVIfMfRB3BF1yUWJSYQw
dinfBiel3dzQYZycg3bQmU7q4aHxrUuGFsh8Yik0HL2ABwcrRGByvSIowDX+a0sqEt5NUROTUyL/
dVExhueSqbTbr3tr7DuIYFnf4uissOME6VLvhQxFYWmC0kvKZe1RueE5T67e8W6HSOQGcvkHsGo6
s0S2+zm65XO2Q8RybLKjowTAlkmxRBmZN9UL8bmCAM/rGGi+EZKZ/eT096V1yaR1Lgxck/E0i3Cv
jWnoRPYNKv//LXG5q54FZOIYgo3nH2yL7v4gtc/ioU65BOms5P5JGo2McKxeS7ayMCka7RbPVedm
1k6DBKVz5g0NKNPJ0fVW6NBDM9cFziPhgSxHs6raWbs4CzqNmtV8OhsJ10Us+poxdglPQt9B6fFc
Z/LWl5X0S0Cpl+1VVF2ccgYorZW3+4imxnngzskBLvfh6+JngxPuIkaLhC2CtDfl+fX11JW3zZV8
uINpNK4bo1c11Ve/N/fkObaaAe1wnFfOmcTXHSXr7AWzHUwgBfDgh/ZnEs3jgPO43nNbe7FHeIcC
lswnz0Z2VEi0pxbOHfqTpA83oOaf0usFExvuKuiQh6vHNbZsO3/uL7b4sFVeHpIP2cunthSLuAqQ
clvRcPm6/eDcTl92q2PFIZlEGoUDUwrVzSCKIgAo6wTu80hj9vnGG16Y5GY7Si6qgSIP9qQOJd9e
0PJvlNptkZeeIhNlLjkZf34QSS0QkuO1KbCf0nrqaspwghlBXkl91N9OPQ5rDCSGW964h/jj7cyP
CvIom8OqJSOmNEOjil0QlCHgh1w9IuP/RC/PPbqB8BmhJLDro/nf78Cba45bWw//zsE8XdMzIqdL
gaemmZN8fLGv7DwIIOuYRNTXZk6J4YSLEvdxnAAiG/K7ir6uoCLl4FvMNQHRBhiYCfxLv3WLQ0Ih
q/4kH+bQYorqM+gNKyKIYPHTO50Tg2/0n9iYrRfe9Fr6shqGLDUpgNQPCgM4gflQwZPhYLXC76LY
kft6jDhnn52VkgZgUEQZ9LOhq0MHOUFneJPjG5N51AomOg2FjFRahPXrR0JWxC7wH0iPzuPr3edH
17gpXnbOJg8ovKTu9jvAwzAQuZ1bP1bf4TgfxcoQ9MQGFa2TFzY81Vc2Fre3XWHqAcOx5PFwk/YB
HthR0f2pJcAAbuCM6W9AryixD6taNqL1G9WdjEQt+aGUoxp8vLAysJNXJ7YoByTBeZJ7aja5uJUF
HvpMF/leUqRf1nOdOTqMEY50X6h3r23jy4FUvW1bcQ5H2jIRiHmuRXUzrkjGOP7GFmAuOv4W6/G7
B5D9Km3qNkrY1fqqMcljxUPW1kSFHjhASWhzE05kEk0gBx3b/uf1ntYUClZROpC00/5IbZKmleIA
el2WBLVKQb22KJsThYg9zkzmrTcwBe/lv6mAFVSR9obIc+Ud0sYxBKGug00UdAB5bXAqU6NPrMB+
O37HeRaCDQCnMsvWGKzrLDJ+1dITE/wNHLW5+MG9OtdHr1CjOv+VJdqrO7OighDd8G7dt0svMRv7
AGkJRQaRO7Fl93AGcP6ceDV3HM2rnldAcBAcf5+3haSa8CtXrnBXDJq/64Z4QROzNaoZ0LjsNmbe
CT5VAjNXvKcOef7X3A1z3JKJb2+B9Fe5NCzyueBgxSHnsuHe3njt+X9XVF0JpWygEEx/eJNff8CG
3hUYtehFCaPSEI/eOOziuzhoLvFbWYsEH33Y29QuPM55Mr65deoit35OSVQweSuL3eE0WP/Jy6Lq
yKN+jNSlZrr8qRCRHZzGOtQDBaf92AJgF3+kPUMu0DdB8cO5gUX15M7NYuyzvkUtETpSByZFPwAq
dei+w4bGpc3qI4Do+qc5yC0T5CbpnFYUpPRiZ6PLI/7ICMb+0l4H0mdPfIYJAfS5hT6uIrXlYzl1
dTmgFqvmAQwhjD80bnZrF8zsunz9SirPlsY70UsZ/4EyuErRBAXukQslRBr+8Z9NmWdtJZCGb3vg
gieKcyEsuv1dYYqAcYL12ZBoYh2afFxQNpvzQrfcTo44amfBELxEc8DTHsEL1C8R6upQbY1Am3lv
y/GAQ0zqytZltTgsWc0M/xws9INQE3aUW8r0zWEfsxtjtPwREPQwtaNlcZibVU0wVAyRVigEPvn2
WoWXGC+8w7J8UKzlmom3otSE9jAZ6MbPO6GJCmZqtRLth1X5LFaKWY14RTI3uxu45YFTVQ4ROftG
2+a15JHIO/Ps06r2o+pxmYbnDVw28jA14/V25wAgNuPQINKzmLWv8UZPrBhxVnj8evuWGmVbbOkX
HY3L1H0FFj6fHFEqqLAkV/OwUNf6nnCwxQ1zHYSGB8HR1A4jMOoypF6KvoW+aRIcR8LVFU+lbrRl
VYsCpjTQ42+OKer5ebgHnOoCwK9VYV/dq7ZevHZd8SyLK1X25O9e13Gk9EZNERYT/keWQkp0rjy7
bGK7pepoDqq+4BvAU1GQkRvCZ9C78Wt360pXnnxrkjVrLN0nIYQxiCtHGirWDgI5mBXbVqEqrk25
2m0EaP2bTh9fvoBm+hlYEWun10DvEQF0L/yjS3ZO9HjE5ytlILp6X5Rbuizlm9CBe2SJ9LuF3WeJ
S8OSANGYk26Pkaq/cl8no99WmWTdsJcXL3PnTUMx9tEDz93E4+uN+NEBh94GiZHD2VMDT7vLP+Zd
HnkrPg1vu8Xap1xLpuHMAGm/BJJKChwi+58xyT1ZYjOUcJbm6ZbZqkSmVP7J3GTI3U3/Do553sYF
7sC4Lakn6StT4+htaMJkgdZjAwXy0g6+8AsXGHrXr45E9u/O/PZW5k/EgKA0R6DC/3w+z4/iNcSL
ozRXd5ZeCMFnTgT80/n9r6LByWmaDfzKxeN2xtcf2SaJSFWCFGKr8UGjfXSB/LFHq5+OSW3RGwMF
4D0gGipuTS4PJ3Gunju1PFgkiYXKuun2hwgZGiQlBIQ+5ed9tZpGm4uGAGLq5GEzdd/kdL0LsmDl
y4bxnfwT48P8wwD0/o+PSoHjhXlEHnLv0y6BtbKXkP6blRFL4Ze2R7Y/8/j4veDRMecvts0qCupH
s8VBaxKrfREtUFCaCRl5BzjoA/lYXlUHOVUTGiY7tklILBryCDSes43vBK/EVAMPS+BuXI3tfLWy
RVYgdFiPYsxdUUveVLsiv/bs0C26GXMdqBadT+Aia7XM3dvDUcJ0VP7HIKaUC2N2TEI8mwFm2Ii/
JDwW/LnPsbgqetFbv2QG+0+g/4RyIaN+tM82Agl8kLGNStsXku+cxbIvb6zuZ6wBqdJNey1pcxG9
4++i5q+iAf+SXZPoPTRHEJW8U0VEag0gh+P7gAcAMXPWptHKL0W8ko/8YSwM3FFU9ILfGNcKVd8P
luW35FVfs2rxozARHrcDSXoEptDqPG7jpAJVdp9FephBkqW+kUbwvRfcznw7mDnXbUsGPRDy7ftY
ZXFQfT4trtFUJP3F/PzoBXEV2p25jXztwW5kO1iB+EEFXYRXtmwtZ2bl0+KnxU9NCXddFVIAWOXP
LJeYlW6nByYn7WoOi1HPTp1li2aqlnEqbR9atc9DdlyfVov4IZnupBTFd1o5Kqmi4fR1XP2ziJ7N
0kGXkyn8LNPWKoQqg4NdyR1BTO1sMFCNXUHkLn/iMRwS+Uon6vcW4seDJ12+Ah6Kb62ruafqahWx
H/9zfFCAKJ/vGa0eH1oN07x5y8kqq3rbBDw6eVT1y4DI6p2uZlk9gmQd4sd/eelPvqc3p3Oj9DJZ
aEpsrtb2BTRYibhU2dB3KpE7oZLdtWwa6leD+XTJWVwobE5bEASp5w4wVDlA69qdtPmrN3ct5vDv
cId7UIOf7l7aAwC3GuU/nKkjOFt8czR/7hNGihNUmEueQqyIQAdz0NJiwGW6s9tdhTF/B7NKF5SV
80pjLB5bn+ol6YZV6bO9LMCOHziuRRde7Ju0VR2ZP7YpnqEAO7g7EK+3KUbSHWacPfQY+1Oet271
Xl+0sI+YLtDYPsvM+wmG+kTFBwDBkHZ8KGuWcwf3M0wCYBrLIvo8BQNINA6nTJtFomPXt/oGOD/3
FWY5afMQVxocFHAj6Cy7Lb1o3M+ZqMULljELcId/zEqXoS3qbvnCjvfzTQSeNMR3N1N8rABU4NWG
5vfbzHmMjN8f1sHQBLa12zdA+j8mYBNvXnCcfWKyd2lCgWWo9SHrmuJjPcDgxfGpcdm4kWHmJ28e
bPeByS3ajSryYpM9E+S0dKx3CM71zWKBvG/3Lsvh5JAn+nhvNlDTTj4rEuzlB1qrEG4VD3B5ApkH
Payz22+pWXb5m+X2I9Q8GOr3Kheb/a6leLpMwUHlIkmD9kyE57CUvusSZk0uw4xxO/mYBWu24CVI
dTvOL9oUAT8hFJzSZ9x9AA9VPFiApUyu2H7837MnCi4GB+/TDBYlsgM8tBQ/8LSD0lKRKvnZLDuV
iNlQy+AtBOR27EwW1mVOA579A6lvc87ZU1pi88m22GJ/J2q8JReLY7NkXrDtdnNH+ps69m1oXE51
lF+R6aobA2tyBwSEf0d7KpJJwGKgGidS230qU7gutHqNIzVMVl3vaOCKq2rBM8YXwgACLtzHEvAI
a4Usl3jUXRBq63gI6ek8cJaVlyACAxW2d+OdCqRF8Txn2yyRDXE6TkrY7aJRAMIVd9kWToQfPN5k
EYwgmNtW3IdH2GuBmaKy+7dTVMQs4f+5+gCXNUx1hjWFc2nWTg8WAizs9mcQ+bp92jgONWyTGJEw
2kpo0TszJExZ7EK98cwi2gaG8gATEe39TLcx2XRnREZ2Ggj6o4/rWBWyuIqJ47vz4zPCBJFRGRRh
bgqkkIuICqBBGYV1oAEYkGi3mVMkHn+7obVjwiFih8ORpFxxfnQaP4VlT2VKhFXEyBuq0W4BBYYy
6THjAb6+CCvp8hUKjgA/BnrTecVWGLhbYSXb7DF8AlIXVgRhrfQti/X+eTF4Ln7jJFkyzztogU3S
76L045w6lW2snhzr2xAAxyrv6Ev1Gpgx41swzEDTLGQzb5Yqzxr8URyJQIQGEXTEwm4lg4zGqqGd
TraoQF2DTOGH2yh4Px1U8LDrM6eQH4ssIkevhvKg2+acMEQfQ0dtzFvQhj4iOhMAReJYvVY7Ce1J
s4zTQ16nGq+G6+3JBuuoazkfW5u+CTf88SnFQ/3CIDt2C3vFi5J4BM1aq3E8pe+7/Pwbl8jNv7dG
glh8cWY5BlHXbxa9iZekZ39IvCBr7bZrUcDqTnlcsuO1UU2idg1ucnTVpd/+I8CphO8BO6JKZ/12
fHZVWW1FdT+JYcLnz38HKxnt3CcXQDOzyAnK9/QCLPkDgkyxU6CNTPnNEJDad0kRaOk6hJJZ8qpx
TETz5co9XSKfvyJvKfQjTEAzaSWmE+I8/EItuYosg2JaBXrYDhWx8Whn1ViZ9qJGduGZS1hrPpdF
+n/dEVQSfe3SruNN42AXymDOfu5fCOkAxkVyTHOc7W6GUFg+SJBT2zZjDHgILFyuFQ2UHMVi7smc
ih30HPvtam9dwJDXERB8/aJ80jS1qGo1cHoRj4dr55+wkDUJPk58+24bl5Yv4feLKTR/biYgrYwe
+Tye6EtSQJFn+NQ7aXPbuhsDViqndAfUo0QS03IV/yqM4dqenmzpfe6U8uhxFOAeidnfZl827cjE
GdotP4j8w+i7pAsndSuonwq12xr9YVw8G8xRREt42lObfQDqvjZYYeOD84uGRGbnqtk/OfV8+yWT
cwKTDg+KHYtohLbH9eL1F5LKXYm2tY8QNEHX/eOqC6mTGaDsdpqNEXYKBRmMEtjhZAScg1H/uNN9
ZeVOwAMiT648ueGzn+TLWFHZ/LVBbl4UoMI002RBYD0MtbwOcQrv3aTu7oF3RUHmvPhfPfhrletz
tNYDJt4oKyA2o1cSg7WNAcXoooVH/2y45rIuyEUdsN7Otiikv+4AQ+jY+mT1h8DIvNFDTWtUHwon
2CpkC5xhjLhEaYUbaaHppxZq+FrQqxUZMvSjs8zdjB3BDQkWhVfx8bqfQ6e1ZwtwNNJjqF8dYKdD
cEi46O9I9WvdmUHRip88QEhIqwdqEXOydhUnIqXP3yCoa7cOovkkb3YvW3bnDGfL+fj7gkoLSmPY
dz83sKhsj2r9uCtkGvCYyxFpAf6aE57XB8djX5FG411Yk3POIDivUomEg7pEAiXeWwbqqRtDKEqF
saVzF+NAC+l64JzSmPrPYrXl/tdnI/DC6dP+2Twh6g0Xv53oKAKhx1Pl10ftTs+Kw89H++jmi+WJ
5LWknleVBWfsM+2y7dg1wm0POklHpU6q10nzhlnSMZiaHfVRDw8E6RPPs/fWs0PHL4O9ZOL/BKtV
0Rf5qly6dy7ZgOpsWUDMQOqOyFVvnqQUJ2G8JLotPzJ9dNqElKaKplHKZHSLg980yVMtAFkOSlir
AIr7I7ctwmiTOYGILK8VjXOqY5y6MyM6+N2QIkWnT9ZwQQGCG421kpWyDAgwpprbkEhUrNE7bpqU
9EHni2TU7tOpHtBJ6eBVX9B0mgbtbxEiNRt9n6ztmPEHBAVKfzarQzuCYxSwQRcFQjCwnwKGGP7J
3ZrNNHDLuUYSkBmi1kM4H51eIIW9VyF3stcUaw7A6N3Qe4gkzCEAVReHX+iE7uu1nO/neLTEPQSI
UN2q6fDtTH9+F224NNnoeZ5Sr1xAqf7f7OfWCxyS3wfT9yL+t997o8g1ynoaE6bM7qQ9uATmLdmf
lFM0Q14xorJty+aohwPqam+souzvm1vk0gecSkrobGyi+iGgpX4ocPiImkWmrTwDx4ySnkn0FEeS
JJWixlfvLDGHPG8J097wPQO+4FpVxRy4pzkB1ewAn0Bp+2X5Xo5Pnw6HwisrR6uH6T9wIQoc++Gs
cF3vKBmEBnOEY3+NB+sni8HSJ5FamIF2KZ4EkP48ZV32VL0dMGIYa2qhG2pTzeMpsjrJkYI0lLaN
EPmCLPeMD9X0I0Q+oUs4RjTbflt9rYFvcS7GgF/1ptqNKF8RXBbH+oWMA389Ch/s7dtEM1P93yon
it+NppZFFCF/kpbyV2VBLaqt3L34VqLJkIxgr3/yjxJQec3C6ZcFB1La5uRpk03XikbsHerLHy/3
ZMvxCU/RHCvhiE+XjatQ/LMqj7y62O1Z6loCjqvs8Pe2vfmQZ+X9p5L+iaDG7F3KxoIKf+deGKrt
txmKDEaI+ieQUtSvUTrI3X77ZFW8dn+PgKnt0O9VQwk5Lf9a5ptydhmY8llOD+WCDMmHkldttonN
IZXEG3XLaIaqM8XKawqffkcR0PgKSHY3/IJT9iD2E6JisF+dNVxm+pKZG7C3MkaBgDRqIlgRjHmJ
CIckR9zlam/R2ZPs3t7qSFgSVyuF5lnucW2+JwjqJw61pnyeF7N+D/APsdtzkMhjK1T/5MY/nMXm
00tY14uIk5v5CuWiZXILCPkxgDRmgCxh/Tyr9eYJrHnUhk19TNtCJqK275Wlbz6sqV9Z8BJmoXDB
i1kJWuf4J4TbV9YTLMHaYtsOzVvo3cr5hG2sPnpO+dQZMUHKRaMgXyLDWAfGKZGLwdo4LbXfEpO8
PYFOEZp662W6lV2uInm36DbCkjF/f6l/CEBm4NGooICGNOn7Lylr/lpXQDAwpqkhoEqYUC8BonYk
WyN410to1uoTi0JVt3DKyfiHABivOtNAyOdNlEad1QFnQIVbVHOUzLSoaR9ktyDQT7vMQf+4kDRK
YD6VP7Gb5Ibq6eX6XyNmphF/5Bdi8emHZqz9x87ilIWmjL+aR+RL9dtvkcPhqBrBAn28K+5TeJTV
4niLNdHlkpupbMyhlsivcU+i3L5+2OCYPOGR4vjzuuBY4gbM1enpTmUE4OSn2VS36IWzp2LqzUkX
nu8U4ZSMMWqSnmDSaaRaJBI/1ounboQFwcGrgp3ST7p0a9smx9QpaEwJ9RCkokDqN3bL9FgTuRUt
UH6AnYNagrJKD0yxK54ur5b49EnXu4quehB0An3pEnmclZP5ejtbRNrleVrhhfgyEj/EtACCswT5
A7pViJqKLTPYNao1GKIMHDCM1geEadLiumdN5DFEdTK38m99Nem1TXrEUdBae+6solXaCrNVBcNU
KaZW8QLHnMrHTBAM/lwq8oz6r2GkYzDiQtINyC9RHWW4IXIdLtzclKL2iJ1kD9j8hvQ+ml8TTSyG
J/FvzTsOegotiDjovciRsdsGzjwCgG6tPZT7eo/zok2iPfZekamMEqgF8qfaw1sZ2fPvaucFC233
L0z8vCfzp8DCfuakxjUIKxg7kOdx/kePuS7LvcnAS9UoUQYeDjnLWLVTYItWdvmtEFzs/USTkPu6
qyWSmM5hiF57WhkJCCjgKU0mbnms/5ogdXGFF5MAyndMKujTZBTyxt74bWUA3nTKrjJqJBwbzI1z
diCOViI6LiFyaVvUROJnw3VLopqP/oROrhrKeulXDQv2WFimj4eiLa9zKpbouT15I/RS4ptmvRbM
3NZNitjh6RDj3hc/WIxA67dmkZyfHEUb+HBQBEoNT3mBswNOV+z8CAsIGW7W7L/3aQO4DbBs1clD
kaKyd2o0QDRjNRpNCP56pVCJF1nBjrfIdbTUz6GOV3udMTQFktOouad3aiPUbGQoqx+yJMgHC5sC
LCF6Mgy8kD8MyH1SMOh1lJNfJEyqy97tExZUnWro0GWDqcHt8MOzgO3ZVb5tq0Odcui48k/lIoEQ
0MClL5BGNGHznpJl1cVdbDUo7xtagiurOVyqDoyhspNy1CIhCLdUGloiiPaZs/eYw9G2Wt8cqv4u
v0TlpCfuf6vrxsMEkKhE31iXrm95waKXHpjflHl3zB3VKN8SCt2YfyOIq/5LT1A71C7v0qt8rGMS
tkKxkFrHe13FKOfCSHI4XWWnlRP4Wr7lN2cfDbghfL0lZYiWsLY7zoBPBIBGS3SGrt7VSYG2zTTi
wAVwhhKjfgso8vLRGAxxqKoOnBF5TtghFN407a6CGc9X/Eo78shrjuaJ1QGMXZrRNDngxPe+a/lq
MTz+ddWwICXFxHELggc6Klz5vetF/uxDmws1JTRluk/VSfTBt4TfpRMY00gt4wB0prR0WGRXJ+EN
GrMsW4Y/4/INmmWqVaTrywEwMhW9yQu+WDiDy7tl8HWI4nkidM2DcRUsaCrjhvX5wRZlczNwFFKd
N6OpQ1SGpvMokCZLP8Kniwm2tsFgKGiAEtaf59OXy3IU1zunUiLorF2RVYr2DeAO36iWh/WTayxg
B0gtkguKhyDYxXcPXEgb7wW9t0MqaybPsVXnnom1tWbJF5IdiwIZS1/vflVEY6YGCJjHdJZTCIa5
hkdTIMFpFEHjBx/jwGXRhtI2o5SuMVYsYKvd8ZJEB6O6pINgsDyqoatFEYUywLgknSvIEdYI4U7m
tSN/+vhIOCVoUBfXobWh/PYMGyl2h5+t90q/GBIs+SJsGcagNe1FFWqtz6vyvmIiVqFXWSWcm722
Rz+OH01Hfub3kBjffX3u/eZQyh2Oro1zZ7AewIySHauAcA7AgTvtROoDvCPQGF0GtI+FqFjZ+zPI
jqQsE3YcqLY/+TgpuIPwXQXxpri8YE98flgCBT8YcveNyMAohamL9ghZs6x/G7O2n8OuSx18feGz
pmijHmtVXXL9mjZb+nKZmtW9F/X21ytbG03g6vVUvrvGLkOsZIJWSni6BA2D3TmjFKDxlGlidOQa
xMEQ+3tfYMDrdFlsU+FY0k0BPUN+AOdYJ0iG+xkIDgpOjYK/ROpgUmpLzxlc7424uvv8HkYm3wD8
5Kou24yFVWBsQh5EYQX/n2/iUkUjHBC6Bzplg5Gvpe9Xlj/W5cKJWNrlP6kZMeq5Qq2fZl4HPHFa
E8/yu7qlh8zpFHx5GMSrgXitQVOO+RrEfjx/0UGEecvCcqQN+CbIImZogleL71vZzvKclu5ZArzO
IHlQp/26lNuFPo/rKJLa4tKcVao6x/Q3Ve5KmjXtHqqWPf7sfn5hy2Dg6uCR88CdT+PpoHhlKxPb
KhlRHgeBJDdGAnyBAaYb7uKgIk0TtVOu4tucROi+Ir8ZQNrUwUnfVjfrYVrCxz18us6osOQUrKml
Q5FDLrf7ADIZgq+JA1On0IMZmnK1C2GQZtBHKoHuLt+QY4IVa8EPNlZpYf1beqfK7qN44ZrtleAi
bH96CFPJNFQnj46rMjAaf5diDrm+R3xYgH14VRXPa65u7YCmG5adNdJ0zgM9PmHaAboKEl4Ze24w
o3dU70lut9iA3XQ5aUtJcaaV/Jmr31JyvKrEaCz8oU0jOnFd4jtuNLJahCeOUdMdbyI8Fem9vIyT
OS3fjtdd1F+KiVsmrsPiCdwz4IFvvD9wQ/GMLDZ9eml1JQIBtwF/qhv1YvDZnnnBrlU+8X853sxF
ym3DeJ1y81h7cAU0N8FMTz1JySGjZ6flnmeykXK0OB5fek74Jbexfrrk0Ok+MHtVS7Gq9rnyfi3Y
RMoR4AYDSc5+B4RJfOJfpH0yBC++owvVlkT/qVgKJQLP5T1EZrWxa+BR4rDJ6oAznJVlPHjr487u
NVPpaEFOBQKp8TW9ywCQAz4e3fYqeEm6omLaAaJO94Xqnlw6l85nLC7d+5zWwIVkS7kbILJrlT/6
EZdlks55fu4zYuA5gKyoekfTv9cwgTOuZPYu3JUf9sJef4EV2gbDypua1DUpS3SW1xu+n5IiGYyj
MPtqUhTM9V7vj4KsCd79xdJYfsxepd68zSx9izvmmw/VsYe9jNpxkJhuG2iMH65BZRL+I8+gbDAw
xK36PoD66OxgjZaC01vcu1ncKa94SS4IeXhle7VFUTTC+d04l28IPiLkdrkIa3+xwNGffbzJqDFi
PZ9ZyVrUcMFbRDO0Dsm59b8GfbrpV4tvCG1vOAQsXsIkBZqLcNOzkdOU5ZPgX5CZEHLueWvlbhbF
GStqwzVpaciaGaAowgWPPq9c3jjgRbnHORXLMlcQo+EZ8QSX5OodVvdKawQdrb8BBie4Op8RyHp9
8vYqVgN2FmF7GMIBTd3Yco4D7ZJj1JtOXpIF4vY4w63f7OLFI8clREilzLZj24yrihwld8gM81G6
l58v53DySew6OgCN7Xz2zrqF3h+oj76A0azuVJt4QLGMtiE43rFY2Wp2/VKK9fxsHNjiyKh+yOqZ
3ilAIO+6I0K9reScJ2iMloiiEShPHcB5aN46wuA6Xb9WEJgGoHl+w8ddu7ETTMCDCLs2SahO1URP
rzh3uY2/JdO0lu6dPE2CeCdiTYBEdqL72C1AcM7FthcG5JxSps2J0TyMJThK/OQtsOkzQdCZHRCx
CZP/TVVRQBM0eOc62pJ8I2ap6ZQ6v4SgqM8Yazxo7Faw12hTekndOAGWfNHRFCj9vbSFZomwYUnl
o21m1Yk3cpSxmUaqykmYC/iFi/ZWfT7Xo/67hmWPbfp3KaJJHdKJNvHoc95ySmR2rKDAj5WFqGll
8gwwD5gETSE/Cf8aBLjimH9VQ0ZC0LDR4CanSS2PCxGQBoafns5gmrQcnjtQddDXqEnEd9kAZfaU
jU7IrlTw+tV0JAj/r2xk+Vd21NvpkKxK0/4jF3gNEyDpEDkzhGXVB5J05l96wtRmqjUZATffWekH
AeJGaaEcLa001jFD728z2Qxu6O1pi2XxhgmTbLJD2cgCbW0v1F0ENGZl4Qo6gThIkc8rmDe/OVxC
eIr22NIXROTl3egH6kRMxyqBLBBEgiXK3RrQzx+9WvBJ4DtUIFOiBCh1F5LpFlfHwfObCIqhp31S
u4x1ueOHqXDrz4ys9aZe3ZGg5+pUY7+6Y+SLqEKknl0p25o0f2G4JS18fctnsiLAptcTUQ1hXl7X
LwuPnSBnsBCMtz5Xl8UB+kWBtuDw9uAtOgAG/wRMl18paV3rMLT774RIw/+Pg4oaK6ccC4Dangel
H1bQiaS3DfYJvjlkgb5ueXdlmNvyCABa6ZQ1Jbq3frZEan70Ks/j57l1JjY4sd40txx6i5FXPTPM
cJGCTNE/y2p8uZCQpT40dg0YhZZ/rS5uq1MzuOeHB+vNC7QPRg5hsgXCw0ZwdN2DSfYZz6tCbmkh
gB34rINnadnUyAra98fv5arXqrxr95bXOfuqrMg0xMFMA4fIPk56hGHeknHE+AKweLGSYt3HQzxQ
rlAUEbkl15ORjIbKVXJgkQ4mhmYtMWuZEKR2k5Dnu3Hi/wJM+3+JCh2vns45z7gVuWUKzMYooAHu
LgLM+KH//WoXePaPL3WGQ7PCDB711Xu1KSiyDziPr55FYiDS2cbE40opfNPCYzmACNhdawr7M8BF
t6QBWmVXD3JilJAqmihVgge1W2jpbN4yCcIsGAd5PpeRlCWmo1RZQmn76P1qFeb4G1Z/pkQv8Hey
XFix4PMbF2sjcqd2Z41/XPTbvPAZf3Ubvo5jvExiO12lkHdcceSjoMQ1uQm41DpoAt6d998z3153
6kOqgachFE6YGBwZ9hT9REne1p9YWtaHr3led58wrafyBoC9fv7/mIG5yg286lbe09D709xGV2LI
loatfqL6iLvaydxL09pIUY5f0nQzzaOOXHzZOuJXJ4+Xm2qLPvKS2VFQarSyoKVO2EquMDZ+Wly7
D2sCqWuwAIeOrWjgaG/r+7+5URlKi9G4nVuGqrYkBUjhqXYpunVU0eXypz+2EdyigWuu2sMBWkGu
QQupN/rZj1H5EA5cENDjMMdpxeeluQjKUV6ZCAU5xMld+8MP5l6g3gzX6y22V4TXmliIKujwX9Dw
p7z6DMmCD+PpSzfcjWagsdIdVLE/35Mg0GzXKfTTA4gOaasQkVLqIs9a8D7YSvpT2iPZ+ncXAKvO
+t6vRlfkdAnXXTKtlR6RHPzbP94g6hrfzFd2/jb8qFso4Xjd6GOlbKX+PQYgQ4CQXIeN53b1nzFi
rp8/VHrNadSlqBNkCXv5o8ZSrHYMLk20+BKvAdb2qw6iJvj9oQRtBByVpz0vY7XRGePmLV9wbdgQ
1AZnwlsUqHdeCuAYqrjjPez+dhD4XRcLwM/UO6rYH/CMu79myuWsglSKNK5K2bB3v5NDFGR+NgtK
pEv1E2WxBpRgmZLwpJ4FHcWZ3U3AiCVnnJusAr+OyziWzPPshMnZx60oGsZpMS4X6txUVMwpWW/n
EIUmoFmkqqBhCHf0dqXlOaqoOJG+uGpY7lvJzOPqri/xv/o8hPwO8hJjfhkIx2OLJcxalwZFhS+n
4ldHcPEREM4RATeLNxtkRUtS/qAgEMaPXP8mIcC2XK7MUo9v61pm+zYwPjbc4p/PZ57teWkl2R7N
7njTovqnoaWFJyCA3vC665EF/kJgoVEMqsNzMzXiKtK2jfYTgImu1pA/korxYsdAlVs0PbGj/vnX
N8+URBjBRwOT3Ah8i/TzzeO71Z66q01lNmrfxSQJ9hQUMsHmYUDOZ5GGE+gMWL4U1y+Hv4BeNmoD
UD9KLCJeZXPYcQwO9PfFyxAghOSDo/hEGHqIWAONC8eSxenIv8XTGt39B1z+RygMEAm+8jDAx6uR
mnQg3URqPV8QHKvKqZeGGDY4zlrZAQspSvTe42kjyLK+8EKpZsoyZlq2fMCH7a/DnIHjizpo8dCZ
VOXvtb1pYhiQslLmuAVgUyyha3U9GqxKD1F5qjbVEXJBd+g/fx/d8aSpPXvhdPpqBpMVfqvlll5G
2jhdGKtjeBkpbi0R3WlzXPCEQK8+fHNRDDFJ9olOJtlJgX54HnL8dFYSwcvlWZUOuXyp4VMoES+O
vtr4GtLcNkBdVvB7ZjzQBYrMyW2AmNHIQQm6euPB0AMFvD+FBi3WhzTlbBz8YkEtyJuH1aBpjdsu
h8g4eQr8FbBYvcbStlNSsswfUSJEZ2H0asXotu2S7ktoXe6speFnqDu1XN2A96KHa/tL/povuNjD
hJD2A34LeGCb32+Yq51i7JmDHPHotHF3oilrioBPju2PUE+AnqWyPbmt7+tOxecgCIHNIEJzETXJ
yXMjWE3VG0MYIv/k4m5aC1/Mh6DldfiWARkrxI0RA/THZqqvKn7gTZDMkBuokIVgEtZ6Yeo0FTxj
kXn1N90eLMPWR7EXD1LtuJaq07ljM2J/U+0gl/A1sZBy2kT0pFdX7Mnao6GO0gI1dvzeIQqfdgKJ
JzcrE6+WbG7TwZTBVWA8krvMT9rjS/ePnC9obkYZT68dM72m6arSVXDXYAzuh/yK52Ob+tKu1cPV
NRu+D1K9lhlsjauFNB1yNlDF8gXlwU7gV2R+ZH22T28aMnohh2EaY645TEL9dFb24RiZCOqB+c68
i+R5X+MEu87ERsCoE7Y+fDydwt7HnOI8UBUbAFwMJlYWcwOZa3MeqrloqatghgnixWvvucOQOrfZ
0c0a9Rb6zJHp9+9VrhqV68ZeoZ8kvp7+3mOc3iuj0Tq/bEKrHVsbyevxJSMF99LEQZ7YE14T40du
cOia5P/H8r23o+LE87RtXzws6kN1QLsnkYqSDzvj4yp8OX/ajaSP/oT1lyOcgIwaeQ9y3f1Tx79n
sEFa3kguhrQEVmHMcUX2jjD07vpZH0cX40Eo+aBJSs6IdmBjo0jP2KCfc0RBLZIncf6ZFaf1H4fk
+xZW2l6wG1DjdkVQNNJtitrAUPtIeslr7auVnRDHhcwttUOmQxSGPhvOY5aw4G+xqDWzaLejBdfY
vmDpiaXe1LUmqd5sp1Juwe8fjk257pbnSyLyyMSbayAnAtJO2HWEBiSkdBEpYN6AvZH/bCsgOzxV
83X9jJLfRavCEACCiHWrMCZEDi5PampldYj6rxc51FefRlI5RMbaztQ6dant9As+MbvNpYyIYv9l
/IUHlqk418+jw/V4DQs2iA2GTKKBQmps/YALK4pLB0nEp2PCII2UP+FVcgt3Wg44IhdVB55Ni+0H
NccV6o1g6KyhrQKzf2K6PvMxTayJcWTIzWI+2VFCeUIVB/wZ8nAQ8aI5xShuMgYNpq4pTTetw/1x
4NVJZ5ItYQZFg3CE8lClX08At7GFU1NrDTl31TVPtIsIQTCS0ORlbHnmhjiyk14qwp9WSPQDn7yx
jM4NHah5CxdfABO14B20GMLxvcIfrlcB/1WCz3TC/IpfI6WSQ+sc4mbdgP6t2Tc0V9hOnRMRCAkB
hONrL4Z1BPoT3b3RQUypTaj6EYwrJlEupA3o33qERD8XJCwg1oflPt4ppf8iqJOczszGOPPQwWOJ
4zczNveV9mKSj7KbEooxB8FwpO6JFNEN3iW+8hbhZjTUSGuZoFj2VxtCZbnq2z4sDmjfdR6W5/Lo
116TYe7xGf2gFzECw4Fdv3rUxC5oIuZDQNV7RpuqQIXWZj8AbmH59APnEwFsite97EldYW04xLxH
Hh18zIvtU/QFC/HE0Gm9wQlRu8o11mYrlEL6crkUE0wAj+9n2+gBN+iJ57X7bqiddgUcPlpYOME5
4xmOVVfXXh0WF3nzgLMMtDgNtDcujUevZv29wRHAD6YPn7nWfedkZNn7rEZ0Z0pktMladEswhXTY
efor0zm0WiRLAHxHUVpGZGfnw4bgKaH0o2rV/fiFdDF577YB0IS0xNUmPPScCP+u3V1E+bcco1OM
2yNEj6Ni6mRL/S9iPAnEvi2a05THtTEZKb9apCsRGQfrhbX4CZ6w75R9jWKobT6VJhGUPetRxoq0
fYBpmmUo7hcQej418vGHKBqKnCPHxqK2+E2vIQ/BXs5DhZtUsX6IGaAwgB8gd7VRNLqDxHksvxS5
rqxjL4ZsQKDl0aFRzNlviIQyyTIcK7Bfqy6XV6khfQsjA8ngsbfQcgtNMwlK59IhlvEpIZuXfVgt
nSm+h9EgafF0hHzhyBI3L7pBA16Qgyxjlnx7ifPc/gYgxWR9wDGo1zBmMMmHdaKS3sE1LLecjJ3o
U+ls6T/L3znLbsP3am9TSA+XbOUvHZo/GKTCoXozmOKI5Zeh+KFabcrjEfk/Ay19W/L98fZP9pOy
Jz1rr9f7Qhm0gy1qL1xhj7luv/QCk75l22QUTpR6wINYPzFe1GoLyR5z9tR9yo1KSpGIwDS6LIZ6
XvbC1BTU+1YbzyeMJAcJ/t0AhYjIH5x7TB+F4jiwYZz6HpucrV+8Dq2ma+AAxjGT0utCVtL0xddx
hnYQAIEUxdjo56/8I9iX3jYoa5Mlxol4uLXQWazhD2rggsLu02ABfgKSA28mm4AOFX9Zfd7Csm6i
IM1xgzP2M0HtiJX2/DWHZcJqxj6qUF0d43ePlH98BdLxGhpicGWxPPMpvqQHZ5tlcOM3SsOUhQCv
GIcQ2xZSwLN64LKacu0UUp20EdpD5Z1nlC+OFZr0s1IXQpPyKpxArLGFR8EJFEflH1zEzk01o9K2
8LjNNilrHyafzRYwcX5+LqIFnONAkXdXJT69FRMY/4J6IJBHLWnY8vec3AScdYb3NTNE8sQXyZG/
7NLPnxmYyokf6/F3mIMYM02SRuebtjFvIJzU2DW9pSgk+gXbFtnYX7aqDm91cQ6E6h3yCZhhK4cg
1QlXtaiICkPoMhzFeIE26ivXMn3k4DP/gKed82YUDVOUlr2MnGD7B194JvlpHbzJPn7vZ1w2Vgy4
78qNeGaB4Nuv3qJG7XCXgfjDjzQiqUTwSElMigpVP2CIxn+Cm6aHrE3wIu3zVXU7yaLYDwwNaKui
rL3/X6zUtt2hDTOY+Mc4KSxJ6CUeC3E2octS1ea7xN2spx5o6tqUSzIsAyz8btQ3zVKodOg+41YB
Hc0G004dyq44OMUpflVdPoMeAjtSHiR/h89b3degeFwHLpL9q7hE+ZGGGXV86zO3sS4wiSEuteBz
TjNKILdQQlhLXT3YFjUxZ9e3MRDo2/GxHYqRMOR1IG9E6/BlOPDH3CeiXBFzgBZV8rKcVHFrx8gu
yk7CT7p+OtzNiiVLp3zXOyDViXA8j8wfAGenEYimlAfiKAkGOJ67Qrs46CiutP6r3teolNQFCvHP
hM7CK+yyyfvPK7SexC1nzJC5ZvgSfrAfYpH1UlF/1VRlHvyJiEiVtI/TbNd9x0ICPeJJlLdqYTil
M+M0PspVC5OxI4h3P4LXjUtzVN4oVXVOVQrMZqLXnNs54PSAyU4o90CTvKRsgwSBbKAk5wetZgC7
kAzAgZqc3n4pb4kkNfTwYdDDPSdgJZa9OKGzOJ+NaaiuFHWdrKasV78+CnrQ9pB8igu897rr8kNe
3ugDo3X9IySSSAsbNGm+ZFX5jBrOo4V+cn28WS4EC/RLHfiTZ+51PFPzmDo9L5FzlXCtHinPmbDv
LQ6Lyg98nWS/LXASEiInybhsOPO0v59mwVQeND+e71vVS7UV/I0zkMhs/9T97owHeL0U9pmEvPIT
wF+QCmxV2LtDpv2BMCtVWI+w8G7tke+Hz5EOl/LfLBd+OsTe8qenMSwk2OlKwPjJ5Dfm3Eu6dsY0
DT0juCijQJHNPAlZ2xWG1x9caQVz6LAFIiV6HSQwlfGpX+yaZO6XTCisioe/qXhxdo1ywy1kvLNe
rufGIuQyexWfXb7t2n54qwXEmzfAbPwEVu4frPbUlr8xBPSjQcXSxHiX1KNiwzmbFoWDY8eX0smv
kTV/pn4vY4DsvAuyBbmmmsuN39aq7eIGpVbmgaBB8wxUVm3YVtYVX2Wj99x1vCXJ45W3Gk1BwSWw
CoEUPuonRXPeBwBA35QpZxyMMjhLVcch89llIhBb4ZY4uaGxJ13f9+R6KSAcF4TX3SogKyYyp05y
hzSk1qL+H63p/ARZIhmWgaBNtingWj7d3DU1PBSg71JEGIqKWbKgSWIff6DFINBFNNVOLXtYNezw
iweuRTsylSicVFHIbZAAGVYtVqWY6PKI93JllUMejRzGJbcqFR03CgCTcE3CLF9DkXJUJJumsXpn
bvViU/S4QWxGFaqbnYj1WH4IbE3NPd5f9Ys7Ok0QSE63qC0aWNpF2udTeYT9dYccUkDnYgxw2Nyl
ushBxMEok8YQpo2eUqK9YhwiLkeGUar11r0aAeJ4ul7tJiO84cGj8Z1l/Kp4fJZIGONi2B10rfPp
SzAOe5p/XYNJnF83oLSc+V8EvXEA6+L4jz9lWlxZoXPQa77rERsbq0L/iHyAMNMyYSA6aaP3vXiZ
7soCD29OnUC30mUsnZ1Nqqm8kcsm4aYAr0ykKTUUvCTI39a/XvXIFvIWJgejgN07VqNGQIZiXpuo
kBf3/CqXYbLgPgppJu6+I7CdUuxTb+OOQhVA5/EhS6U3OwHah1vUaMox1N5I9tMho57MyOgiShg1
kEV8W3Wg56K9f0GQmISpFfITwZoF5qMdcJVRfVQQ3kqjgyJeMFCHnPxyGZuVO+NCbvC6enR4QQMq
7Lc74Iv1Mzcm4n4lfDyYhDHWxrRyt6V2jOi4UlhqB1aHnB3jxNIxfWHv6rlLkzl6irxMQ0HugUQi
dBNFSezP3hxiEUKkwK/67IkTschSyvPdwj8av2YuGZU6EWK003oUylw9+6+BM6qKwyTL0Q3U99Bg
RIc53H8KLDhsOCUlXOWmSoQO5J3l6ikti9FCh7cp4vPgpiTIp1tdu39lN5DznRZXfUHR0CW+56HV
E1VJqxgdoEaWrpPL8XjF0+KmJRHIy84fMd2RBSCYXRNkQiHJVg2jHDPLTeGPePEf+fhS/jCCy2Xp
6XpGSsbifKf6VjKm8CfUcXwTmMsYcSlaZr0jN9ujvh4vGZOQwp/IyLhtgvwZPXrtUwffVVyZO6bA
y4xhKxI8aZL5swrgA7hTHFMtarTeJivDkCqOJOxaBcgDqAyMfvr/J5KgLOs9HIAk4i7GRP8akL3E
mhsaQ7edlwmLJ1+dErPjGuyB8phFlvjhQ7tzjRQWLEKB67yl1aozf8g8eC9uguGw3VIr+8J6uD2v
FGo2N1K4Uuha8K+0vz2r2KryUusOUsDUL/bYM9DHfyg8uVxrG3jGoqPUunxe23kyO/qyQmZ/3rXG
o9JBBO8dBDz1WWkhthb2kMBae4qVTjEDcNCr6OraIp/wMMrMehu3YvSexVfF/FEG+0JXFnwhacPq
RoUcokUWznuhekYY6cXcvU9reCG4Qup0H2RayGD78UqoMduTLULHki/utlHVxL8jqnwbzOjFt9QF
8APSXv4HagFQYpmXK3FpYDgu1xBFT+msEhcFnGZiQQaPy7nnx61CbPkmJAlRznPrc+b5rhjV7aWN
zIc3M8iivIBrpmhDfPqBTaz6fWOzidYWtRP61x9WGaylEvL1WbliJn/yvjY2PVFiTJ5Ti607+Gpf
FGgGWt6Jb0nfO7xLoyUyPYikuBY/3y1upx52al6jRoT32CFoouG+Gd4P6fUuhQq/I1utHJbh1Oik
fzmbdtlCp0JVw9gMZTvdRymdPkwf+2mY+kvksOO0mpAizhPna9DbLOBt4zqU5h2zhE0BzQaG3kTE
L4MOvEPN+zcKr0i6hDhjcgsD/H5JEeouM7k8UWyxkg4Grh0575fCsdHi3OOZ5O2QfJz8vdVKq4Br
uErUzizOKhx8AeyTOjTz7p6wtRvqyLbF1ZxdlMVuGcS63SvTixFW8QUezah3VhYF/mDQyMSkhzgd
DOJ7Wp8VsIVKbwqOyFAFqS3d0g5fFVItJEwJcIylsC+ph5SwF5xRF6I6tinFg2kWnrM0QnOBrnit
uNy3fIeQowsobS0Tghhc/wFissNZuvzsB5ZEBt4ojHOj0H0xsVdvfNS6ec5ZVx5kyxWnnn0s4D8T
WPk0VfGlx0x4lc+Kg7SOahNcLCLgOZYMXljDr/tWeY9FJRXxTLtu0H9eAV4guIOMqWOPHgJti4ig
UOnoAlDYlI7sV1Dl+FrybgYKFu3k/fkeUxCy737FoFr+1M80Czr4qNedETIuJ1r+q2nxmzO9D01y
WEbU0mImgfVZOVrxF94IDq9fYD6C1/Xxvjkr4VKYY/AbfZB7dDQYEp2xDTf36vhQ3CSm7XHEOpwF
dbEuZaPrviAq8kcwcRbFkAhAYh0uwsoBdkc1FDGK0Zgx1EWcZqrCGU0u+hb/39Ek8ewp/p8mG5Jb
J3z7izHwWzQ1vIObjoqHSuIHvb6sH/wnGciEcD8a9bi3fGghezDERcJmnNXgU5gsnhpjshh5DPvA
QA/i9n2hILtb5ikduh7lYp4/mgFEzjZotbY58JnzCjqtfw5uqPRPjxJ87F9cV71cCQjsB3gwvlM4
tbcjbqYXDCZi3uxqVUh5ggn4BSWA7CVXrRp1MynkTUcVjg4Kf0ONvfrhFdzHt+mw9FhKOw+60uVV
e/mAdJvYbrHIe9IDlGlsPQYWRtKvpm6PuWpq8sC9PvsjoG3QG5KF/ADFZaIVutr4rSo0oU1pknOV
0s7EIU6G3BBNqWlMRLIjHBPIWn9160882Oe/HfCdMHijge5aWPvTEWraifR1hXTRwqbbFO2QVYsl
9k0eWn6BMdIXZcsJ8YCssd24XahOI90PkcLaT4xtC8O3nPMFeRcfkqMwePK/yQXD/Yb2xNkoWuLp
mjHyjuwdtZTGrMe4v92u5WsFAv4JIIvbP1vsc+ht6e4JoaoQfVs/ot9ta6E5RC6Qc0cYamw6uJhB
loB5/PddlU+XCDrXzkTGuPP5EMMwM0XL4RsoT0l2wWl6eqiyxI/tHIJcuKD1ZxbTwSt7o0PE75CW
wQYdj455oKZZjM84WuJtUsFYhzb1MdWIOdbH0vaOEdb4wXOFxfn8pn26oChBHXVn31Fi97pOM+i2
DjMhQ1RGcGgvmDtLmcdrr1eBatHDKByemIra/C/NAliCzlRawa4kRYyEAnujeDNJjS6KzhCun6Cz
dHGNXWESRBYERkeiajFqbxKlej1WutShTnE30YOBfVxmMyyRmOCn0bo1KlZtKJqDNoFCUH9yTIQ3
6JHcob48nUgRE5e1yfP6zP50It+uTKNeux5NEeI3FAmnFsvtv0jOYXf2zFbLRmMdqQa9SrBrAbyU
EytYrtZip2sJGNOhQtHKmSJ+pi2dhhCZty1I/+l9QyTZ9vI0ROectPDC/ApUkc9NmWHuVPDCi4Rs
Tdr8aSVHIwHx7b2d/sWUUOIJ+0rh1gjarILUR61G/XkTw0/UBF+MPxoYhz9weClLTqxqKvlFrNvY
SCDPI7iQSn7oSBr+InVTgW8tFOEiPVYQROc+MDFU3XtxeePWydNaaGVPhD+wDzPjnder5cVzsp5e
JjKm94RJe0CFfKWcgd3l+djvonQCOSlRiO2EOi1TvbkKncD85nN2QzTbb/TBUF6aWoOgyVl0plDm
r1iSJePCO8I+scTXFEC0Ka+VYcUlGBA7iXAmOu66w0aZg2CqKlTUBe0mXnmge5x7VNxOT9SEat77
xElN4wd77LmJt3ZcgFxontm7Z9NAUw0GpWsQgT73EJzTBp/B9e3K3yJdw5Jqam+H60g8gnS/kVeE
HqwhXaYOPWDsM519LgkunOae6Iep/VdD/ve9/q+MuiStNB2oYxUbM6OQN5MmjjpoKzfO2BFhAApe
to7p53gb9BuEqN4Gi/Qb8FIbA9mlwn/0TzwLT/qB8ysz8+Od0wbl0rqhL8ibPZHX9r1iMFHkRnRk
aqiLNuO79QdR+J9pxc1OZpBG6b4maZlf4I5EvuiUEQpUh7Piz/g1WDEC6unDDq2TRFoB4jm4BZBN
rm+JQ8LW+APiEE1yhS+fy+9uTA1K56ZrwQ79hRlgNs5aKJLs3f4cR9P0ufEMmZO0SWc8SNCTop1J
gltRg4WwHrSDsWJYq0AabdnvD0v3PVvNnQL1gq6rYCWNtJgYV2139lNOWqCch3AsPUl4rMmZ7Pj/
8UQTWj+RRpQR+0y0VGbfUp0xbMZJVzUzeB2Yj+i8hv+PMcVA59Ezob98W8cCfB0WfWj0oRs3YJtg
YRcb9aRxRsxGhJcKUVuaFCKrnk16hlQCWYpBz5UKlF0o+jEGwsdmfx7y/+NNlHp/Sx8DscPR8j6B
iW7vrkUjrqkob46zXysWg4CYE/hAkhkJMupitRrSDgaN5KAi0vsUWL7qR9Il5wY5C7NRuu91ymYU
ENdvilPAWF17eCCyj4UocKb0Y7hE9RXbSV3aTZ2fUXG3gSd9wJNCWLm/A0jyVKHYJYwm5O9EOavL
uQfweGZRN58t+kON42bhpKI1PxT1HyNyVryi0udu2AqDay5lNkberB0QrQXIZMLRE8uNWFL/RWB9
di33yh3pylo9xVHtjtKYaJkYAgpJNdc8FJC3PZQLeeZzLbc5iDJJVDf2a9AVPgEQKIzMBW45dL0+
Z4BVcVoMckDXs7aLMlV/LlJEaxZKk8a9gaItp2J3oBJYV8VBGp7OoS24RnGGDNKI3JzKqPqWcSWt
2sJHRWBVkwDyRmnVI4uI+CKabveaZWLH+9KQRALCnXwW9Rd5nR/wZq/JZY3PMlfHlIJH4lf1tTEo
inoYdTdbZuMzirTjOY626UhSWmV88h0fh+lFvVTL9CbB3A+Mhxt7OeFk3Kis3y2z7ikW+gNMlKsK
Ddsyz3dm6TrwZNa0C4MU2afm/FeabCnL60io5V1FoHGY5G7emYcCIeCVSn8CbMDvhxWjKGQrdqdA
tS+DfWzBVEUQl0rINBUFHl2vvny5rGjmsEp7Ljp6NiHijtQlHV/x52GCFgQUK8nwt6xctPzBFxE+
pgjEyDBcKU6q/mx8so5mRD8KUqgqc6Ve96G3YP9zP9C2IOa8idJLfnlWxLjsAnjVoIGWp7MVnS/j
bbI4gMHvQKGpKnY2FRy0q3qrKae/t1WrwkLqhDMazrmZd9Qheipaa3wihi4W3tGzBwq9Pg/sSz3Y
tyS+C/wSorhrTQpri+xD8342FGjpWNXJ0iRzqmav+iMySKMtQm6r/VrhoyRoLqW9hGHkeqGRvJMj
H7o2aAjAmgut4Z4qVvYC0amI1pUzpNObHr1zpIws7REBTClPuBjge9FGOXG5wsjEEm/OtyU4iCz0
DQAA8T4J+gGU2YWDRgzC/OQm/YOG4PAFea7JnWYB7GfZ1Py8SxRIJpC45uI3SQY44QpNllL499NB
ArCK6I9oKWYfDh4aA+YeBWwnhMi4Do5dDBEZUq+SpbgzCE3Hf4gbhzAZnsDNG/O6bGs/2JSIyU5V
EeGRjN4b9VYRyiuAmsTI/hqUbiGhnH0jtta0Sm7UZ5q/Eb+sXjmd15P/rShs5DH3xxWIc2REl/m0
RhLbYFosnXJiXyXYJdOK0qj2wIga/SCenp/3e2+bdsgMOPAEyBifm+M9VCB5QxvSb1v6wV81X9BD
3xO/t3nqc38XcLs9vUFn9Zz86v5fY/P7u4Pnkho78cooqAB6JR4mmL3JejctwN81iBqXvP/QV+B8
I/w9Go4PZNLfDDKmaJOmLcxAOPQAxsk303acUIU+MCBHIlhytGEBqQYrdt+PQgj5Di413p0DTSwA
60mzvSPA22zD8w94y7YJDbZXX2dMuSxwvKVB/X4PjtestFU0pJ1+ent49BP0RHDmu9CJvukuDLCd
nGtqM4JNNxZOW3jllBXORuxY18SAIvVgjn48Nj+xS1FQtCGfP4SNmds6AfK5uurcSUUrGlw/ERBZ
WRTG/NEPEga3PU9tihmOWGrJkKGDXo6Ph0IlrhlksBZL8nI/EyAqpfcCM9vv5cuTUrbLodmpkl2E
o0SqzodZIU+9iVyxAiIHvU6xsJBn8oL6pUs805WQVPl9X8W99tbP+BHT5lWSwemEdRtmOQiV2FWP
dVtUcs2irR4sA+3xvsdrkY08A4W8te4mQW9PRtRqM7YLFoENN7t4lBu2b4Z6FV34Pi07EKRIh6Xh
eHZQwxQmpaWgoiSpaKFsD021UcFeIUrxGKr8NE9xpNave9h5iXknQIXijUcdDJHAFR8LENspIBSS
+j5WiW2volc/G5CoipD/K0zgcj7YtXI/3iuGOn4ENJb5/QHSSyJ+eSc7K+/HXWqDl0bVdP2SYOah
fT0f7GWjldx3iVqt3Fow4I/fmu9H3ln2vEhUlXkFjCns3+YjvyhhAIiL7b6ja5lCx5S+3Vs7MNzh
pULOEqfqPP1aBadwq4eHcbj//tKyAgn4sV9DiWczevcMNvzcA/s8Ik74dTQE5FdJ5S24dguvQoAZ
5BzMRUZCMve9AtjYRNfAMf3v2v2BJYMrIQAJsWBuTy7s7iMruV/mWsdKIT8222LFlT7N7VN5WAd1
o7HrkZ0buZN5AzO/ozn44Ki1tBnxa/2MbaAfDdx+qq9maww2X7dNQTRKjTZ3OEXDY0tH+rbnbNQ9
ZveeDhxzRVBcTQa8KH+Hts6flGA3yibvU89+qGxm4/rM4rpFpb/oGoM+1txkpvtUtUg4WnMqhNST
UkOAF10ri5EX6Vvh2Mz6r/ng6+Cgk6xAOtTobAYGymYc1tBsLyKaJ1JUKgYkQ2dTBCSGhyhKHuWn
CZXJlhRWj+xLlrdiKIW89p/GXGipr6yE8n9SIt4U59CPPrWuDCzo1PDqsXLhc7cp7HcOtMbED041
KAxNc/lm0j7UCGko3EPViReJQxcMJ37MXLhGIjlde2t2W7pNb8eVO8fbo+NEdZ0Jn7QsmvXhglGj
i7Fkze6Lch2FlakY+Dk3MSvn3QKYKWgm10wZRf6QnJ7L8jGePC2rw5Gcib7VOHvAnQM4Pem90BTS
btn0265yGKi6JdfYn6XvGuJoylnuntJSksunNdYH+pZfb2vs73wT+1SlBV61fSoorczN1YxI8oMU
cNJoCwooxItw2OiWE80T/QSTGBR+kWXS49h44A1HF1NGxuuFFqeC3i8vg2bd1buYYPqzPglIY0SB
Wxm7N/hPwixC7jeDdzfeN5QvhSFMaawMY3Rx2ZGXnKzSqq8mRJaC5aToRH55G5dUReS5WmMOu2Jb
nhdY+8loPnxTWWjKHOhI2L9+I3ey9SDoZrfVJWLuV7g3iaDlvUX0AfkEy+h4vJ1OoUqeeI6ti2to
3ic8fKjR+CGwzhmWiYBboYjXz8JcQTD3fcm/5DeeY91UczxEKfw6dzP/aAKkNk7AMijE1w3198/c
S5wTClzUvTbsBpV4s/U03AuUliqm9nJ2YcCwH24E7OyPx1yC6hEcCbZm1qNPemZ3mwB7Ebd4Ww9S
5i/BHix8Tl55D5hGBJHJT2mJUtRtN9SX41wec13XAF8G1TxZGEjU5EWw84gMiT2lq0/8XyNZgfJC
zw67CCJIUZrBd9WJeRfVgBgEIvkceN5IwO/tvPIiRXMJvqPfOR/3O+RKPNGSTZdAeImjzlBU67Pv
prrdtXdJgCnVUMrgGqi0cOp1EdNfmwrUsRhifK9nYYZeH93fs9m5c2WxaAbgXlDPAwUApMJSkflg
uCIjaYI9gy+edYtoqCSsmJASOdNf67hPZVLGizIEk1FNOjmWUvOQG0DjoHklq48kCmyP0hNvV8Y4
F/1RpTuTlMz3FGfnAE9fCzoTjCYh59/OFyl/zccEyzKydBkEaPXCsXO08/EvTSqx4vHAtfbmjKbe
UONeczpE46S4sleHxLb/qCtBwjVxGV7IzfzJARDCGJ7FRUyxWVAvJp7apxuTOJ4MChuWsGqXn6j4
3+NJrCc4p6ht4jCYALK3OMXu+bYXLjzkLhe3bbfcurjcucSvXpDLrY9Fs/etE+tOXtwzvvTNxodU
7s+sdULmdWbuQ5QyVGz3/+5CsEtxbL0vpo1PCoeAmvWK+teUls8PQ8KqOdNURHXj34hbAyT2E6Jk
AkIlg7NWmazaGVcns7GqJoAxnlFuy9dBihVrjmpvTlGw3X3ILc7B4/uEt3s2NjsqPV983Y4dYsT1
hagYNNfpXqWdIqGyuvzwMHN8dzOP1mzofX03kRSU8n0L9CnzSZOVnEvWs92IVZQHO8WGEllmO1N3
2kMkq29qquEPZI+G7b2jIhBEpClZGRgFZLYNQYy9F3aP0K86g1nsJrYpl04oWCLwj9xnhgH599fb
yoWUSmSote8xlaQs47Jd976aChH1UvpY+rUmIuk+OvjTgSztgsAxIp/DQXOGrlyaOIy7/Pj+54X9
SLTBs6kC/Q9P1V3bWsFny8wVC+EWv3vtEnYSuFS9pcIwOKJDWyNO8qmcmK1fVXBtEoDIdZFcFUSz
VBdjswwxryk7/NQzIgrJ8k5saRoSRuy8/GH8mOi5+yf/IS1Ut0hw3n+V2DpXVRqOX2LUHLlKR9UX
Ec6sjYih1gLSnQ0vm/DUhYWvJqeS0+bmvfb5qwCE22uMMJ7oFxZf3sUVouXqqtdzvt8BmyAMP/LI
CkXDsC3ZHXASssq9UyJT3pCsx4EPNU4kNu6b8ot+Lk38eoPQAlBTDQ2d4G23Dnpk4p3hjm7ymkaB
Kx/ozVJo7eEcXOaDb7kvLnS5q/dmarsmq4uePJ9vp3UJzQMPBTX0iZXBuhzTJ4EbWmyBuNJvexr5
HL6AN1Ijrsf8lvxL/seAgLnPJ7Y7WEp0+IFE/m6qgU7MRzXjFVyWk9Pi8yTPDKTzYQ/8jkjkjb5/
18VosU4qPbdkruZ1UM15QUrKVqh8hfhpFZa+rMKZoYx482BX5bt5OIiLTNV0Qz07RQhvDFFTqvAO
Qhg4paGThBsjnNZY1RNg8xpixrHfhI2iF/nLUHrt37QcnK/MfLheEKtv/EQ3orrsAbYGyI/ADf1B
1JThgnGDRE+oBBtQYTG9NtokyBcl1xHOPueeFzy8uBdAf0s4YJ5atU+f59oYh/h1zMKR/4KeVTkC
71tCKRsGH3tDLJXJzWi8J2Qdp41CoQcVhbDiYUZH2EZs0jPxOa4sG0dD/C/7y4Sp77fQQtUscVdU
Nh+a+pHw6RMo+okz0MGyjaBVLmuUnUX4M9VgeBJAZZMBoKRF10FwCC+/cg1L9OMMhd97puDAGgqN
7l3ndoglcmFn7tHQZHJwCI7hJxGMeORWGxFaJpcKY/V2alb6y90bZSk3wh6Qpa/t09l6OSQYvdKd
iVd4S0Je7Xx57yUBZfF9YmjGmxt7921gWk5ofEGT8Yig3vrHrkl6Y4R9LsuA6slNo+iLSsxV03yN
yuHenotxEfn6OtfHX4pPDOgiRALMNTLZqV/RqI2fv/r2FdFTlAkVvkmrL08K70+f11b9umyYw8E5
R5S+yz0i2xvns95BJWvYF8Ft7F6A6tslfvvEyT7HBbir6w4mptVfhrIfM0mxF5+EzmsoA2BYiGT9
Y97Uro2f2XLvncwMIcXCJvgvztBJ5z3qQRnywx+Y7UX5HqIuyEEY180kKH9+lPIN4LLazooU9wkB
mKTTJ9sIEDkTuYd7S52rIMxejvgdtzkDn1gEXXuLX4n5pz0q1UdKF4w/wcWfQMvuFrv9LeDtHgRO
C9EOLM5BGtCvOkuDeF4JEweeyOyYOqP5UxlV0eywymimQpK6SwNOIo6UEOus7Y4j5/Sk9tYLPIIe
27QbGErb7R1rfOsst4OVz39aKb32qCG/cKXlZvT7kMHFGWl8snHVce3FUVwpIL+GiTBNDAuAaQ6D
h+s6N8IblVuDWIoPczr+j9gxnM1tcWd3lRFCMOfRafl+p6v6aqO4blD7IfmgETijgkh4Eqm5ltWp
Ww3yBfYA9uuaeByYMkLNV5HhjsUBcLooEj1+miHw5chr/ECoX/ch59FieSN6pOwJs3b1LX143BWD
tXDS67GsrTbrqYnC96cXtgw4L8ylhNfI5dmuBn0qQTjmAWsZ/h4CHnDLv6iCXZ9zevswsac0iwaE
qMd74uhIRNv0UxVnPwTfyS05DJ4oaVhN3xZpXGEty/lKOc/hlBfYcDcDSDg0AUzEVYBBw63Z/tqn
d/gXh5VqPZRMPtfxqucWAAvmiRGnck0SULFTRrXxj7yrLxtFCf2shJ1PyjuakBcN8zY4OKLcR2Vi
U2IGwzX5oMnkqNihp7W6KzWNrHDSSAbfdm+NZD9CDSy+M5EHV6kuZq5UdXwRaUHmyUVeCjQtMr5v
cynjL6UWHQLB3QRgUEFpSIWmRl5TdwMeAfk63yaeVnq8+LUw2zS1a8/ruOAqD8sFn3HNklfGhvRC
5noydQui97XHjxax/S8DRNEQ+kmeJWkO2sULtYVXd1/7tfHEoR40npC8B4hWmfj/0gZb22EetCbc
1Wq7RaLEuuIETkt3Vj4zr0KHxKHPm66FzJMOqjcjFyl+VsjYTC67gsm5AEIxZIomDUbVySjPHsGv
dPAKaILJCrk2AOEJxo0QBsnDSIYfB3sIXHtr4NVmDr/6sWxFINije9ni9M3oJnPnjeu0OFOUZCEY
ZymkwZvDWoh89rzJP1pi2yCwZr0c5dyyNX2l+6iNoPuxls8eCKQsiOGHlwJGSljarDX/sf2OAHW/
2klqot5MPlRAOcQtLicKCALXDIiLf5n18WYbAaIt2kBJcQlaUwtU1G3Jd8HQzkDFaI9dhpwkharZ
kvmxS0VzpEjafMGQHEsW1oaWrswGL5jfpJvWzVGsSMe8fkldXOAyblBBzY3ydLlQLofCiP3cKipQ
nkuEu44kw4VMl0mp+PvALEPQMLEEPoIagYhRaZYpymGBhwP+gkaYIGPPYEmFy9+O/oYzk4ZckFjl
ndr3/j7Bc60yK/hEN2cV8uxF7XSDRAoDo3EUSi0nYPrIPAu+KNtA8ppsA4Hj9QFxkixteDSbTqV3
2V0d1v50Svzz9uYHo54vBt5+dKyin4q0J8AMsFoykdmEuT0LoOJbvxgXkJjJpqHzn2BPM2nN4oPz
3Vedg1swpEr34sE2L4IJaiMewgQf8reEKLJ1FCjeXvsEXhU3vV4CrN4T5jCoQ1wmqBQ4JHYlJmBt
8ZUf0tT3w0sgOt+k2wSpQCsHCMOKpSW6EQyOPF3orODGJoWVjCPNBajzDmURGPvQ4kWH9bev7GqQ
Bh0EbbHpoy1TIaxrLsXnqIcSZUaQ4D/d4IshqSJ70LHVIOw4kwSz39+R3Gvha4baG/42yQrRef81
2tJ6mb/ADHyk4k3wMifkhUaTxc4pk5qe92QVZvSSgufDxodcn4dfHIXIvc1eJRCpy4PabuCqPaIR
DUs3Jri3pVeHGk3Es5pNmUFQ72Pzb+hwpT0rEHhd/wNjY3HnWkjRjvycNfeCHd+pB6m1uv1s4/fq
Vta69P31+y3SsY612wS4iMSvRseuSAOjjofU7wf5R6NMG8wLi9c+5hiU0R8fqmcbCDNFI89d3VVz
kKM7TOAo6r+kQ43juoka8f6aRH+yHFgnC9coINySzykJHKAevCb+yClG1xHMdICqjgeAMbWgzG/l
xH2ELNvzKRcJHoKXVeR5831VUR5EOknAP6QgS8DUbAoI8OB/0DkhWfDAD3bJrYJ6pzuW7ag63+vo
9KqNdiqK91aSI7lsVKDJ9j+vrH8gkYhqa4z6GsjnAc+B13a2zsJ42AkNobkF4ajlzYEZs5WZkbUG
fEjKV4wh48VyEwYaWV/iAk7C9VdttMvtqNA4WfvRDAhUGAXcHg78iblhcVesjMVEg3Tl15VR2ejR
ZkzmY+fhjvyJEa+jxXFfYgR41bUPDvu2R/bDXLOUiOjWMFmIV1JBJWFI53XoEqbGqvR8NXwCwm9F
3n+W198K+eMNrlfhHr1cmev5vtUVX97EfcY7zzOMTDqoyp2ovgPg7gc80O5jM81bG1IYg/jN4pfz
IaL8u8snVga4s/h/+3iXWPEezFERhwEV9dS9nC05q43G+9WRQzi40bfTD0GtMmgAkRPmqdh5eEMg
DsvgSgUpSMfXf1rOhozzuM/pAjEHl+FauU5sWJLSitxbcZ/QUFYz/LJCx6D3qDYdCeEstOFLylXP
TIUNf/SEh4meRBjXHe6r4eNqzQjkCU/eKGT/ZjktecxdZoYVKQWKOi0foRXp5A5JtnF76VC04+62
3K9quWg/ntWUgRnG/yw1u9tiVd0XNTEj9QvN8FYzYwkYK8VoX6buenLYBoey5rRZ6qpHSTVtOM5r
biUMhvtjaUUklPEuOJlqJQA+TJk5Mud+v28bK/cb6LkUy9i33yaJkAEB1OTDzOp1FrEi9KcrjDtE
sjx1Ljo++vTLCuJuvdooUXrqeEvNS/sN9XoapfsjUR8bEr43clnyseLoBW7m5NvE+rI5oBVgpLXC
LfugaZfmDlWfnqVgzfN4xNJw+EUhPTYIFlClY3XTHN0773oIiqGmrBJVwlq9gFVjwKVneIYfIOfX
ORWctMKZAruHk7HgYc2NsYh6E6M9SSuSnw9J/oZqTTlGEnfxAqW+ui2a3GJbR1hk+iqm8RgBr3lR
uD5RIfHJkwV9YgT86JmBRFbb4ndNXzqsYuadWPSLOVWMgcPiuKjUdq6cLXPKB9X2rKS+m3FwU2Es
epuYf6oSGrxm2ML4hOFBOd3rLvYD6+1WeFBfqXXwHppUQ1KzvCR/spgmGM8Iq/RqsiapSlP/7zJY
A+wS8LUCSE4IBILDHsvHe+j9uQWRQdNk/XL2vJQ30WFJPQbSat5tBcm4A6dV0dM/qr6gNsBEaAAD
jlO4/D/uPt4Qa9XLtOMEvOffHqPqJHRtn570cp31FHjt3iGI7s+pqiHqrrX6krTd/ifWR0psk28o
3ZRtRZEzDxuhqNtVWuDXpBskl+AmjzdaffXFhOKpkKwel2KNeJqeQ10aXKa9ZcmVon0ZhxzzDInv
hxUPoCJnjMGS5ItqL3vPIonS6VDxouZLYlX+9owiT/H+h4vJxIuL7FIyeEGh3cITTXxPiPkNmkls
mvPZuxBC+PiZZyqkCJNsJ0sLYaqNPFdnRU7b/gTlvAzd9t7EdKo33qIrtT4BUSrHQg3ZFbMbw2zg
rJuCbSj+/tFTDviy5qJXbC/sHmGK3wW7M0+D5NXWJbLMmWusypLL3+cJddS/yq9okLZerzN+v1Hb
rcl4DEZLwgDjGjgdwbsUSCgfPTAVnnbfWuuuxX6kwtdkVjlB8oc3OufDV1WsXMdh+BkQLeGdJKmI
nZD4Mv7gLSfDsYlWLBXPeD+KEUmJ866VqCEgdUbzAILlnGgIVD6bqrmb1GmBT65R6ovhQ7dwWUif
/2fy1c/FNrZRMZ1xTY8LEPnC8RFwrr571Q7ygazgH42L223P3r7MDqcyfxF3T4TVbSQyq3FaHsXh
vMV2Jt3ym2oX33YyPnbfVKftdvhR9OQOGiSa2dVy9NA7AHXXPIRgihgDNKvA0DsFuof44LSsNY01
3kXHwdvtDTEDRGhgZJIrFCvXr0ENLMjP+dk9yIpf1W3TjYujjVubL6R7kZ8mePEZtupDAolXcJGj
LV1LcATmmZEO23QqRav5JYkiSbfQvFwVd5YqWx/QA2aUHHQDMxP80UNN3r2nlb28ZPofoJ4S86Qs
3UZoOtr9oedw23tlqX1nu9ED2MJxZi0GQyVWIh6EK3FEN7KLAMfe4n7M6WBZ0TzBPCl2Vph7uMv2
9y8adPbE5KagtKQWERDSXXiN9MIDMfrcdi2lDzuIHUMhxpoKlzvYSeRQr80NKOE/luIWHh1uJ9lU
Q5f54fvd3sp0MAOfCOTsd7F4CIGfq8s5AZUDFBdSqfD1lOnzoixpHF33DbJ6GaAcCAhCe7o8T8QP
chMI78XT+R4YO5+0f/cZTeZTUe+lFxZHb9KslJUNrv0KXlqKSJGiqovYFeKGwGxovx6TM2BmLb9m
7WNE1D0xiEwYmOgaIpbdi1YheYCVEFkqdHSu1BQeyXgEkpN0y+glr//ucKHGzVPh6BNf1AqJHuHz
vtwd9yhjn2VAh6tE8sE0iq/LF+uZT6ztgD/e3xXzPUK+72IqjzDT0cev2xrAgPjq/9U2ZZ1bP2Mu
qLcBi1UQ6X048/cC3QqvW27EaPcwFalIYQeyyqEbp9cM+DgxdCgz0r4v2VfHyMFZs6NLNwYhJ7VU
nTqvJsbV6PRA7fJdaOcI2/+FudxWX6zGS8gDN2Wz5ieIISRBguwE/Knjuxd6+/L44pRMC3snkq94
6w0JJ5O7fkPjXdhNzW2q1Om77UCa8mO3wOfjKIrF73117HyEjRAO61p7Oc8aLisOV6hdvAGR7P/L
rbiirGHxKTkgfpYSy2G2KB5+7nl8nDVyNBsEsi966KnCRYedWF0UTCaQES25UWDTDIVIMJ7NY3Dt
t3JGPM+CR/bKEVebD3tM0OJxkvTdp7gsC+xcEP0XfZI1eywKysx4/TnS1LvVL/vbpijMRzTPIlJB
QiVNfD9tpD+QLcypAAKKjgsQn7GqI+PnshfyzPEuhApO/mj4mMMc+6gbcQQg3+Oo7tlY8JJyp6Cx
SH10YYTjhNTvIBTp+vr9qyti6zwDN8D7aQxqXvyI0E7PsrafpftmLKEfNA5pcLbuRJgQi5cf8Lof
qM5klibUWdO5MlSUpTvxdLdqs2NdjYqFnRyxyGVA5C2KKvEWfitZCbRGkUByQZLZZI8a/XsIskAu
XmojvqGpzCWeaXWYRGF6q5ucwdgD5rpFJvxZAHuhSRWbj7Ly/Hgf8c2Rtymb5/IbgG4nD/I5JMHx
4cz/fR+qDtOe+xfG6KezQMhsGHlJ4tlm0GCiTp2vq5CoV2jsSI/j/gMNkCw9Z6aB34TttoJJnXH4
Vc4vi40OdeUoW0ZZkAxgERJAXJObKlxGiOU90xdpKSkhJ8UwDM174Mt4Uo8UQnyCj+NHc0A9DdAj
tvQlDq3Xa3K4m6+DwWJaia46J06bcCnZ3LZ7S9xHFDfpwkFbI2y2Zl2KKc07vnDOjFZzF+6CALPV
+yH2shGhjEyqkgI/1vUlNsVYzH2hNGKH42quhqIKWJYINZMaEOlk5rs8KHQv68yoDu7XL8uRkmvB
iC6B/O4xC4K49eHhsfJx7jzsJ82B9NV6Xs/gTFA3Z/BUynHUq2t+6ggL1fadVhcqHi8e6QIgO8wh
0LWWSlMA3/2a9J4myzqOwKx6NAXrLF79qrJBoTUCM4Dsfawp9AJ+iqx29iGzLuW0Id4bGCMqwc+i
WrTqPOZmoDPOQHrybtEd/fIIb/j/esO3vHdx/Lbbs7hyDFonQ5YbOpYdxkznDYLuLPrwBYQVCoPZ
oyjXxTC8FN9H7Hkk11AfHMA310OswYLheOhuLW3jDJbWyWIuEb5m1rCkvlaY0enesgSiCSctAEtx
ssysr+N6qL4eEEDjm2I30N0NvWYIyzbxsmHrzMNq9KGfRQdXuSRK9ZzPkcfo+nTQXsIGeQUHdKtW
4qSu9tXT3BqG94rj9iRY0YEGESyz01XPKGxvraLmnCExqzEioG11ggqnNGoXMMX5+B1nEJkHYfly
zpNFRXDKJIQOFwt1RXII08gYp4wIT4wFsfP5YBEdxwXUS+BFPhnZ0tpPVNZSSuamCPDzOX6JFuRW
5ER/ULHNe7RSMQ4dreIukSTxedXtwiWoHS9bpT5itlAh+rgFR6qPK1keZGfsRBne+nIcqsWxu8H0
6AChZwjSiw61r56OfDK33N0GfNVDNL6TrGgAe2Gu5+w6ET4vr++8vBPQqCOd20Dsq3/8xtlAo0yo
QvtkP3/r+A9AvhxF39LvV4pxSae8N1YlJiBNXVjFe7SGZtKJyb+tP7NurjzrmFrQxAaFHCFvPGYa
03HU77KDxZ9dZp5l3mj444xMTJSvuwxKFoUJ3TN0Gfg76qjJGUoc7d/o2T+c3nA3Jlu0Y6iiWy74
eQpGMxE4zSFURl+284eYi/KtDj473RrKUmiKTLY563tA2ovly36irFLrYcVhJCfRwetefjl3be2Z
R4XOtukOVf1pmKtIed7qhzlLLVOGtDGGMrDDNBOSeKMtvD+8FaWcS40GQINmEM8ePemEqeRmzSJL
yvc0u5Oo8oAI0UMCrPtC2+hp38J+GJNiLkeYybflIc5yiDVlRW1NLCn3vEJO6e+6Oz7o8MJ11yfu
PBie0K6lyXu4cLfPtztZvTH6scpSreLpiqo9fLPOyRJZN8l3gV2hKTTvDeQBY+a+4ityuVcV3v9b
ooRaNzX/8vfCj/J6lpIriiozRku4avBxq2dSGr59MeV5hUjGeD70fd1pDoT6PYeWlRsMQgVXLdpy
v71zm/tpYgtqZEg6iEzgfy1uQyVrLMTLhgGdF7AfIJrVae1Ye3kYfzOw40bZTileK3IaCBGV3Uo6
o+9KExq1yIS0XXonbKMcZJQkEg7sgaIK0K+NjmbevcOK5qhyzzfCRPfsgI9+3yGCzTpnnvrRwJ01
8VlTAmwiS4k245MTecsv9nY1v2Z3x+sa7f3GRiyPYXVcYJLnbbopWn9iMZO/QdhtMV+4nfaWPEEW
oAk1MW+P9Bz0JEo8Bdq0UzhfpqkSAcnHmMImdgO2yT34VqwKOnjNlMkmN3WYtCckgk0nk29TqPvZ
Gm1DJ9IbInNXSS6uOx2QL0+onVLgGszZyCPeWq3zv5yUST/ngAwEkXPmS1EMsrlGa5Kvf6iick9Z
Zz4ulYb4Llr4OKgfzX03oKVQw0gfUdMjzxAwVbtoJZPTnP+GBBZl+C4D8l0sABrSBpzf3xdC+fa2
cWEIkuqc2Bh0jmUf2x4VPwQnkn/PneDaOqdsc2Mb0dLUdvzrJnoLg7ryj2Pi27dSvQnSDZ3WaVcz
/VxLhrZY9pkGp3xbyfNAFv6hgBMan7SwCR29p5U25DfXr2inym0JvxS/dv3AlNRTpAC18Zbuv2PB
ggA4eHElfsyVTO8DhuyNfJoy50vziRzfccie2NHKC7L1qcWOmvJXljryj/FHuBmSS7UQznV4wsO9
Si5i/TVKqHs90vM7l+BOQGwkSZ80U/clSJIrw62LzZd5dYkqvxujgND4XPR4WCQTA7ElJAE6pLpw
uxBKieblWNvjVtVi9LsFS2rfQzqQrrA0V6vimHMiCj8dz0nqdqTXly5ntWGDQ9HBDRfb1MNp+z37
m9u6oLIWr+mDY66gG9OHhC7z9SPF69ni1y0cS+RBSyttt1MMiMwqxM7YlI42no6AVTDXGN3TOZLa
00iyKqhX3WfrkFpXIcSiph2dWzXQYVrImeFqaXJaeukY7TO3SpB7cXcs/9uBPfig+biJBOMij0Gz
JvrDmgIR8Df7aJBPBE8ZCe87bQOi+5E8ybkFW5XQWOhXwOy2aCjoaR+0o3efmKvyj5NN63jkSe7w
6liqh0fsr4wFZfROw3SR7v1MqRX8Yu5NyuoO0hqpBsYQBZhwTWBqWpi1k4d0lQNBsfMIXJwh5JCp
H46TPSR09ByJizSfeXMz/2PT80PEfWzP7Re/qbpYhV0VC/+RZPucUHCo06zbFE0s79kk8IF52VYb
wxqPjz7w5o9ZxSIPGQjC+clkvRnJ/LoHqD835uMi3dHmQjhEfbgAhIA3Qa4ib/EhAnlLz0mE4wDv
wYfCK/33agqdOO2lIdw7sb7PetFYpdGZSWdF2k9+MoeNdBgVIsPSWGUQfmtbNyKgoL2Hbcz5xrsM
OxWRUp5SrRBukmUaRHEY0nRHnQaTBqHHZxR/V6rFQf/CZbEUP9+dk6s3hYBxVl9t7RLJOID8oyDd
TKCviGwV4hQJ1pPJi3xojgKmboW94fGPmqHL7HywCoElfxsvYmee+VjpuefTaPKQNCZWv2+jEpj9
3rb1I1X1QYElO418iPZ417z37xzh0Xw8ms39Cajgx+hGLTrLqt2wPZnjjfvYw8EXL/1ocI/c2VFv
gcosV+8MOIJCqj95WaZlfrGNsWqnqReCJ9AWwcRY8SD/qqEoRt3Gk62K//hOmn5NwJq7Y/WngeuG
vNqmdmzaNcC1/HuAfF3imMHh7IIiK4xU3RhBrlHcb/aBXLG68azGW+nVYVPfxp0JJNsqgfiwivtx
3KiMN2XboWevUyq4ycDc26rIhea3jK2pHSaTZVzTSqFlG8hQhxRARGSDn46c12QojqLIBbbH8gzF
D2G5f0ksxfhxE1Le1Sg2ERMtFBZ45jlP7wM9KYd3LI3ouq0gJ55Fs8m9PMW6MugxBqkErkUUSAhX
K6wVibcJVLNS+Rh5xi8EQRt9diFKIyGS/l+2n5zDmFRQ67GoFzfWL5fZ0pWxHobrSa2nKOazR8gU
xwjhtx1J2T1Y4bfudk8L/EYoy6lS9wEB1RyhH2vFON9ZXm4M1Nqat6v/kivAftLvyatgwwUt8CHg
2rKPyXKUPqie1R4j2UlsWbknE2Vt3AGKL9QMa3iuHcBVcwMnsYQJBJ97Z0k9WZRdTXD1rXzfVrY1
ko+Cta5EeedT2xKNwhvn3lwuS33+de5s2/HZxBn+aaFCHG03udJQujY9Dhc3psKi4uQfLYiKfQKj
17jyhCoLX75zb7cjatTmtwY9OxFvE7pyCSHShyGqApt8Webrwz4Lx4OH5gBJ/gya+sspYwHxErMh
WKjCeQ3ZmK+kbPf1Nf7okfQogTEo6Ks3i3csGDFZMlcRAmfGzkAUonfR6gGr39yaRUXBc2rUz9oi
v/ZcgdRSkFvVTqPwLzkaqGr0Xa3y69r4qlgVbkeS2RsYNWb4vW1IJ7YPa7Ac2af2snMdXpdfBLU6
eXbKRPMsnMjSaEnFaJydnvPRsXR0gZ7X2tc3xgZo30jdfrxZ90AJQmdRC46uUdCcXGhamkWun+ww
OPP/ZfHzIx0WgdwSHc4f+oSoO7GL7IDyGF9P06Wjhjuif/9aemTZazpoFrXhcLBnQRWW+LaqU4a+
+Fxd3CXgy0MRngVU69W5SDckAM9Q6V4E8VaKb6TtuWyVlqCkpfyxRdeioFCLlxbTYLrN0DLbrYgc
NIN5ietpvOHYAYYSvFnWVMdhNLxL2hmD4cIYL1J65npJCeulionfVnL9wJJCa2kYdvivKVTpeQvc
f0EJSOEzzH79Iq1J4xf460EmbicyoZEo9rsgTiOjPEYBSdlj90wa43E0+8CAM/Qo5lqS7BwxfIpt
eO4UO7FBsaXWiuP9InsXYpoVdS1SuHtjjWKqOtt7exzGc3fJPcXUdlFZvOGhl9LFR1Kt4x2LXlbl
Ug32TgBXg/+Lx8KUMY3o43YRtISwMEs+/0nTmmrJu9JdobOssJ6mOZUh8XZ6ku3xOHs0iMgFNrZz
b4SVPFPD2TFiccfNlnrfF+nGk4JPGRo17syo6vrr6ixc5sfKyXB5dXfI70zVtyynI+tkDX65cyR4
Le6lIlkKMZb1hRol98qMaq9m1wi5yrgNGRVhmQmemnyN2Mn89s89BjfZ0HTfpKMmRCn4PsPAeSYY
vPv9YEz7owmQVRWyO2eCV9tl1YbexmuyF/73K8OhINFCtvTiueiogAGphy+NJQovcZoJxNbuGIF5
4mhDuIet4OTlhW9qlLaqgeZK5mlh6BY7M9wqjqrD1HzcWQ/vVzcOJPkJi5d4HCwgiMr8F+YpT84+
QoWC2hyAWTKLevRWMQjByanHHt1I0sVyKmo3++KqmtaXmdh071NdPsnzr0rYmv371ybr6+XFecmY
li5wieu0v8ESEYak93c1u8KthrfBDWPjxb0FxyTflZbiuRUJAZ3vp7yI8X2jSQPExC9QeDnVglQc
qS4dIS1vY3sgTWAskOyrNsVX6BmUCa5t56oN8HkJ2AQyQ6LYrzdW8hHHLxWmQnt8gmtzJ9WS98o9
r0h/JvBRVX7Dms+NzJtdd18xAxfFIw/c/ThQtYFLIg15XfF7PN5LCVfCcnB6WZvXZogQGKN5jcXJ
IQDMat+seV0sa0xFNMxpGdopORfZo8eawa8HZBSlUEu529gE648U62t5Di3syzA9uHd8NcVQ147V
ChcjwduMFp2UdmdekpjnzatcCiTei2xD67yIWj0u7KEW+f/tztNXJfDraDgMg2U62su0MagPWiJD
oAqDfJLfXxCsrPgNA/Xk/cLqfvLNBqbvfulkOd2gjfEeSCteL7bjaeXCJZIuYZwyByPgrAUTljb6
/jaLp6hlkV9fnp2mPab1zn7odXqej3dHM2HFR6fSfk6h1SvP0GxE7ciK4/Je4ZnEwScA3lM4k7QM
/9uZ3kA2VzsWL0amdFkO8aGNAryz7NPdDcsG2gnUGzEasFA3DKsPzx3pZ4WwbTFm+rYCaABChVe3
dJwhjPOEuJfH3iKrEBFP3gBufx2A/KkgDok2BeF+saOBRJ9c3W8rPhfAQZ04EWnbklLntrFOkhrR
oADIvc7XlIw3aeF7I0SBllpiYfO+5n2l+kM+tt7Uwqn/0czFYyFdorz3eGMXKTe26q49cwm18c+u
Sn4bSpTirCaDohtrWyyGyK6w5Q16HZ1H4XZoAaHXlV0XJ3KdFu+HUQ5uek7GqMVnLMqKXz8TgMqH
xzp4EYPaOHWEjyfnSoohaluTpdLqiIcMUuqzIF23N5BVIwJYQLtpMUYu4rmDZuGYm9pPGntZOk13
Kn6PE1JFMMeejIBvc7BiaNAXs2X1BX/xjU8mEaXAcC4cZMPm0xndgovvWgaUCMPkGuC1XTpzloYV
9LhvaRJuXjUNeYsnaK+6nIOaKndBPyH2HBkSOnj2ipiqSsG5wD9zcqVlgaJMUIi68eutapAJHzUp
JmtHHNzu/gQgkpIzReEe7K6w9nGZ8iA8lDqdK8R5EEvmu241HvMbEE6p2aJCk/yBQSIG4b83CG1R
8NA67rII8abZYUmJxkn2RQ0AIgQxFbk8b2Ur2o0JNYNb79BWyQEAze4ej/EthmDeRs/DllLneUDc
Iz3q0Awy0iymbE5/a3MIhi15ibScmHWqhVAaaQI0gHLRI4I7aGaoY18a9u/M5rQhvrJvyE+ed1Xv
XMjebqFtx9yrvhQiMu7yCWQ56HCYXoVgWAWHmaJdojbg4sTFViSpmMnuhjr8TcqBRjGeWT7Vbm3B
mHmmFem5lRGTUl7TeudS2kSUNW/E5TN2dgmOnQtDwSOyGLE+YRi/8HRr7kUuQFqF5YJhNEn1Pfxd
l0czWqwt/dfIIT3jKv31vhPOwDh7+czQuxGJJz4vHK+t1bYkqgB1BKRdEFZ5Yd22Veiv41ZSC9vb
zccqsHPleCfrLLrbawj8VZAg8WvWRkv0TSWjA7XE51nJuztwfPpXymDok3ri2hRvtmQia/AG9L+P
atN53ddkQRJUGj8LvRfeKd2nOQDMnbXyh9Dzxs1dgeEubYpsUj059JIuPhmk4HrL4nCVHqmDKh1C
qwkVvZAYuDVWmCY1hHmfBFXvysxNYGtTwbAQgnksjO7WJD6UxKb7LH7Snuj5ESG5Vp+9oYAUZy+Q
oGre9AmD8ko8qBYEyW6WM56Ym6rq/AphE53gi3Y17Az8qvkiFnlGaGJFsH8VJHvZFJHygY3Ae+X+
xuAItIEIo61ZxekIyypL5T6xNV92q1vDSSw7FJvk6+vq244E8yLeitWmPB1hMPW9/cf2dNDNo6at
UR7Q5OI6+Nlny4EYeVhfaakO+TeUHaMGMpudeTfUGySdmdASWzJIqRxPaxpAqez7K8WQ3QesaySu
s+cM34wknc5GOms6kIQFsgxqOsXFoBz9c4uChfrWdtn2gZmEKE0D7wJGbxARNdvaLwveoK0zTExq
UN3ZZi76rtU2HaheUyOE+O7BqCK3MRNMqegxbQSn+KkliAVTWDgsdIpZC57BEi+8Ttmld2gk7sAp
rPK2yQ/tFsdIcCZXCr0tLA2ZXeHpYkZ1RyLxEVUZ9l+S4ctjlWaCt9/RWcDutRCrxyQxRewqLufl
xEGjpzxDnV4ZusxwWn8R7tu/edNTWiqZWbBON1+6Xmw8ogFDXBMxmK/Bb6N3yRhP9fx8VGfO3+Zx
4xoNEVS33vvIe3AMtEGbZVbkizRcJXlHO12m0Nyt4ZQAy17lTgm/4U5KOgU+VabiHOZnB+yGXm3e
i8yj7Jd+cA8ygZ3hiyQfeDpn0jME/o+yslA2mcTuqdQ4VEOUEMzWx0bqG5fdTW9/jhs0MX1XwqSX
h01FKIArZ9JUnSs2T9zlaUx6tdWVTF3uxJ/SyIMyw0qkVE29SNZDGIRSZJWkug1/gcst1ehLkNVH
RJifZ3muu5o6XI35iFFh3ZuNtXQqhoIVuGAQRi4V00EO/z5YOx1pea8LdT5oFppRLVZbPPBmOnGq
wvAjBVjtYFsNVtpJUgYKRar/1puWje6MYapEYgp55KNFWRxa2FRPsf/Jp/ieFy7tEIc/wFYkiGR4
Mv4i2LDeGwIbuMSaEUHeBnIrD3mn2KcljdSvc/nOr9CgfsbM174Fux0oBhRc3If3OxCF0A4csyxA
rqDuon0ZiX2rAMIJpDtEO+iaQCYo1sCgS9HXxEvfKWfPWPErSIuTg6fXd2uivPfI346QKyfqcoh9
IuNWX+A0KAWaqta89QSYWzBQIZFI7hVyJ15YQfE87d5Jm9aLSbK1kD1UmvLh4KFpzwZ9FGUiBnHg
TnTrEpBFY9yFwTNBPRnq8JvjJ+pXpn5KEVHh7E8EcxWR8KL/k0e81ORacWpS68xInTQhd944A2le
ON/qrST0cqFD9AckT2UlqY/Nr3hAgCW86sXXzCuUOyDzenhdy4nEDStn0TW+XhCuhyq32xXVXyLa
h7yGxw7OpPIQeHHiOiM8fjBD4Iyff9DRErJHztwyZH1ZEOwgwQg2GLQ48W2WILD33XGSl+vXUaFB
Cf5bdKEEVDVsmY4XgDlwKoCVdCxHcjfQhCdt7AFpvc3BeRNWATqnYggEJj5ttxP6ze4qxY8hIMXm
Zu1k1mIdYPF5OqiKq/ULAbm6Aq36MYl4zKCl7sTIURbY+8UdqjbM+YPVocCWhM726vxE7cslUF5O
qHu6Tc9v3mLDtPYjkZYHyGNgIqp6jI/Pt6T2KH950l2BASYquJsHb0mhpuBj0tQStyO8DMh52IDD
JgvN76J4kNXRz0Z0FZyup8+snHfsd69ZmY7IplnVbiOETcVActoG5zta9kyWvFwQmiaEZ0GS4nSQ
QfyUhO+MwHnWeJ2p5ID2yeAWUDb1fMKuCS5gyS2Tfop8/zAMt08Lo0WILTYlnE7iFrSZ6r8l1xjV
Ot9hYnjBtiedea0ksfe85CBKDW2vuI8kA1lWdFOJRrBIJPorkF3uYRUPmEAYMVnoda+jsJunqfz2
KwyKJN6uXG39hRty3RMMsmetVvAlry8Uprhht1X7ud4srsz7/bbYwvOkkpLyX3sXZ5tY1vS7ditm
Tm5ylMBThkHM2UteordhWJ3u7OamBEttWBgjBWTWUKKZCVzcteNFRYipEhb8F8B0uUHp4qspMyqy
Wk0rp8Mc0vEQLVZJlYtY9HR1PE0+b3QZX1YfPQL7G8YDLSnYmmssDnRIC7BjAoquhBcO8acyM3lC
AfOcl5m06Lq7wI1WyPEmarLLhoT7MuEGZHa/ybcCws/tezxdIVrRBkLcRVqAC6rUFovSiyDEZcje
ytLsJxW5E/RSNFA0EZPmBlbcJXIaQ5ba7CjFT6C+OT90pLxxjhPyK2K6qBcVxfUIFu8VQOAG+hHb
Rw5rfDfOG4NSbGxNvFfaT9+uDByzev7J5n45IV0rMUeFujTwyc+LuF9h0URxLWXS7FlIETDccl+8
3QHbuVB7hC1KTGJRK97Vju/hatIlnbPo+xBA6kZtG1B+0Mycz4wGbXjb2NiDj+xbUxMBNa8Bdunc
FWHZlUHqcV8I2smgqpnG741yRyv0a6S2jomOj1VUR0H1hZ8cZYSFHnUZWAhYZ4cn4lj7RkdeV3OU
C7jXudxxr560kAl7JuEVkwgnzT5miqX1A9xr0E5h0ncmMjDagVfA8juNpLAaNy1k4XyvaqcL20+I
Alt8D7w+9ZzTKaU+Hu8EYmqsDb3MgTGfvEGXvFkghgIvHDbkfJNd3RjGtaSHWyZ3m6WEGzA6X0oP
5Z+A1HPa3rWUPyOYWLJTWuRBbeDIFutrIkYniN5aSxYtXPpFQV4agR78zAThefXwLWdqHPtbodtm
xmWyMGz+DysJ/yBSX0XpgCucgLZkrmDYgi5tVXBWslecy0NOvxJK17vtBtzaWzlzPhTlR852+OAy
JmOskTnByyrZuYDldBd9e2hPTj3rM0q4fUoJbrrmZh4MUxvYU2eqbd82tPj0fuyqx+EOCrEhRUbA
pZDicI28C6vlYL6atAqUmKy3vzpf0Bh+6IC9KECQiH3WkQDyMn54wNHwnrP2rjcmSdvfKIn1KFIa
yWZitnFQWgBBTsB5R6FHLSG6jKFtcx7dv742oRX0bDZksztF0wgdoUeidumZnSIR5/xfh7d/3LUT
DbsA2lzO/EanwsDwwPPDmU/Z8m8XBNgBzwOsJc1ULrwRZHRh4ZFIAyZbjPX4t+L2auXG+qJAgAr7
9h67QTIGN+WPqOWMg1gfeLW02xpDrWbbQqPxfOR6Sw2VWEr8dc5IIGcQ4+ojaRijKTsEuoXPDLlV
Iw3TSOVQYDM6CGr2RcN5dbFqObDiL56G54Y3dbriI+7eh5keyLYIjvLLnqdFrAjnM4yKGjrtwsVx
lCCnHQuRbYDY49DTLlnDlVV3MWrBrUPTK3JJXne7AVQyQpRzJXRZtpxH9KZ7lBRs7OQxJBZJtrQH
0tY74dyMOcyL386XZzUqooEA9KIbkMXWhnKIe+rFmkT+ceQl2G+GxcxF0d0nPux8jx/iqxfh4vcM
JFxXkqJYN6G2bhy3bwcASbMliaQ5LFTgthXvrS/B4nCsmIL5ljh/+9nRwTQYBxtSua4mBoWfx4GK
U8r7lr+wQz+GyWKuoBRsqtaKPcXSt7fsaZ8SN43ptlg/VJGl87U/OkjnYdRVC0bH2aR244US94F9
ZD76YHUIT7cwN7q1ZsN78lju8ZLQ3XQnkuxBJmVExjHQ28KiT4egRlRs+LUAxC4Om+vUouags1uu
MiDpu3DWezJRVCw9QTl3d5ZD6ZfpleUn4MZriA1dmWu5aDuuJ3LikI0diG5N6dAs5exuU1Qz+iWT
TNTdxFc+CTmUr2kxSDD4jVxo3JeDPpb+G9DgWma7eyAPSxYtpSPE2QTIsK4XFUn1uV1bi33pw0op
l8fN2Ut41CV3yXISEivMNJqgVKDFx48WaX0XngscgvVvTUGjIacrf2az9oqy+io+6YOcluQjpcya
4j/pcZDcvCe/lKpR21KOpew/Sjk7Ejuxb5IH0ugTi0FtBY7q5b/abF8AMSrIyOM6fy2CJrv8klZD
eDdDvzVeBPBGC+Ns4xGKtNTqeV3RMuPYAcibSWZwa09nJcq3yOfbEiXDP/JPQl91PONdujR6TqPo
2yM2zcMAAWFzdb1Ok6iNyOm73+5uZTyjPxNm4TSUs3JSX4Bw/O9am9kTj3HRa8cAwwxNFe54fky3
g18PMnqSNQ+kuCXZboqR36w41m+IMICFgssh72EP3Kjci8E3vgPOYT0HIa1FrVmpWF2z23SvF46D
JOq7E1TlNKf3riP+kHz2sGcnao13UzewLpp6t1lFo5cxZJeQf0iUkZExgAaqkqcpKVacAxEGFudL
7cDF8JwTuq999Dt1AninWCAix9Vsq08ywQIqV38siuaPCc21oCSIdlILj/6y5cgoN99d3DJNwKr+
++cf9nb69Kj6sIHR+aPbm2L0huLqJEsNjnt2mM1CuKH327EwXR3E0xzU1FgDlBLwqtKDAagCcng7
H14HFoJ8zBKctNDzO9fK34piPHG4Hf10R75VhJrR9eWJfvwSKOj6uFWmluCsi4WNe17jBZirHhJU
n/UnBMxYzvMp3F6/rbfl29pgnwAbU7chpR6VZkQSkO4ruCmoXEsdKRj/m8y+fyIn2/yMU7tECBRe
tEjhz4KJ6FGv45snrJeYd7a6heIOAKNfjUxsC6lGicmLN80TlEc1QGa9yJqq8617J/CovanKCBiZ
4e3BPWLsXUXOqiP2PSMYOHs3v9oYAtYj7WsQT8hFSjv8GRskXf5rN4JbyaLuM5n/4KHbMow62mwL
Hz14mJld+bklhKnQMjzyg/C1LBpbhrIgr0TL6ospINSd5PgSIxki7DkoiVQCJq/FVE+JLExjutvJ
J5Z879KWeSIDEkMkc22xWSFMA58SOexJ34z8vErDvxDbpuLzNmnR3aSuIaPuQjlr1EFGtyt/VQ4o
axWs0c9IQVc6lh+Pzkc7KJw6iA+KJodjoCfPPXmbj6KsxnGoBSpw+95iQ35Hnj179BdxkkpSneU9
qSB6ZgVdb46fm5/M4FAc3e/fZzzCooBt7jTYEPV85rdjEHaOxuh3kqbQWggx28JwCXfP5Elycaou
J+unhEijpWKiDfiMN1IvpEEcsuX1kHN07LiNcr+45cW6I7QJVoHuHKLcmV1T5AlmqwP6FQbVi1l7
ngDbjB1R5Ut9zC5V7wqnpmLHvHtsGJHHd9E/SMimUM3PXgJz+4Ls90DfsjXXEWO0Gj5lsNWtHBYE
1AQHGRygLd0ttXaT785jPwQ8cC++X0vAM0CzsRqNQjKI1uGw5S7o1VVrRnWW+MnHu254Y4kYLNlJ
hP3+rHzJPINF3oyCgR9rCKgePoRkDkxAc4MwJ65cwIeKXPv8F2Vbh0wwtTPR2FnnDvC0eyodwiYb
puVbaWBU6dyiqdy3JHKmIadyw5jPSZL8kz4BR19lpWJMS9LHgLo/ZAmVhxY6AQVM5oiq7GucwrIT
rAeJBvXjtfxyn3pJumDup0egEGkeQw5m/Bh6Mc11c2IDYPk2pzy4njGR+ncw1dra1ZJ4HrTn3Bg+
CoI9znDwyBRUKS8QC1WiB4vmhtK699yCKXDGqW4iNKKuFOaUlhAOwi8pRu3uOndJmgUxSO+ZPnXL
WxikMOnMxIKKKp8/rv2thuWPZNlneOBrTNqMo2yRe3qpGbwW4D3avBYJIefFqzZA/IR/W6m1EBhf
7IJtXy/Hwd8tQBHEzbxX8AG4FueQmp+GEOYUAgJ+uOm8D6fVsU1u8qWhtjwgqODEnM0rOiSNvJyd
8PrUxHBtult9Ns5D2BwVhUsqWaXOyBIENAS8rF3df7Bfs5Q+VsMF54MJYrWTHvnuXGt6pu0vRveL
nzOz0nWhvnoxdLYDscu7pxvOLzyLTz4UoR77qoi97lQvkrAMHlH0JrrXS9lPeu7Sv+eINsQqnxu5
m4T6EvlJdGDViyZD+gkPzNdKLCidIjXpjOnmLAh937jNmI8fi7aG7nNhwbb8QjcApHHpUDzBHhqb
hppndrK3KodydI1MpqmN5zsd6Rgv8ClDHOnUD+OKGl+PofLa2kFQOZoSnVCGpi/i2HYMJ6sIrzjj
IQwamRKIOC4fBJQW5ZavT+QUCzNjgvcJTKjsd72QMRlhcsLBZ1s8od7Hd5Gf8JznMAHzVD0IhJs7
UjtKPqRDO3MABrYD71XO8XIMQMpqM5vT9bXhChl4Sz5p8TdY1V+kA6AWYH0ucYBYNGXPXkdjbVrc
axveEv9grkO/soAMVec6hee3O/SGb8QJkxQZEoaZ/pmvYtkjC2q/8qXX2Ah13GhpS+eLQNNrjRkp
Ipa/a6NVfl1aO+ajk922c0kfj8CJJ0Fm3PJKmRQyfDRk8ETxRtuUOqjXy7ZIHIIwekZMt9HLETNo
up6WbNgfFlsVW/QSvPVofEktXLMHON8LjPESodN+c7Gbo5vKFoHgaV2HBT8NbkVhGHnzl97Ipp1/
39+Rah02kiSL1cqfaKBDOxQFOUqgI1yGCf4sky9aa8yuy21e9hFZ6aH1ultDAdG/6P4fpTdolx3o
7Bh9+aje1Knh7a86eCziB7Jv/33Xa0zBFne/BTMIiP9x9utvxshrOgShphekR5Z1OYAV7bhT/Qt4
XznspGdvY/+IwyX4et71MJzuyE5BoSXMEkr+xDXWBo50V22pdkOUfY993Wcro42nDFVQLfcIoUx6
XTWkOu4LoqW9vO2h8TaVMtuY1qDd8BhoPjiZzjkP1Pmo1gnI8WB3MoWYfI85zTbveCDA5dLd2/s9
O428B3X0BQDmMvcFS4pQMi6b7VkJZJOCnzm+BullPgOd4LA+wLH/F8XNdRRSCchypERi+YWDMOus
T2+168g+pdt00DRC7pHO4UHN/v9i6pjQ2WmcmjlIHGkeJ85MRubYe1bYNLyhOjXR3hE5c3GLWaAI
fWL7wg2w8aTNhHb9Rs1LJ5nZs4XWbL6tZh3wnk4FJLFuXq8Ev1+eVppLjEmIzkH5EUJrO9rm690n
BhRmYz5FyNIkTuc4aNBoMRV7AtklLEL1UsBliarYgGKmdBj2uzSaAKjYsCORyV50vhSz6ueGpy5C
NX3bXaJX/gDRHruSQVQ1mRLzg33fN1/cfFrFzTykeuGy8MnMfI05C2SQmlkXNuHIDW1o8mipHBuz
fR7mBFAIKPYWyjBtortg9Cv4BqGfxqOAtNd7qbgS23MNvvnrLNPEVatRUanuvK/8myJjT/YrrN8L
LsSbFKbn1C1wm/nU10K6i4v0vUfQ5jugcPROcaINHQHgs35JvlADgGDw3+vOemEhNejexKaaKJgR
zZGYOjod3pNjHu6FsAPL+JNcUjgQ48m8VT1yvzjw0/zV80W51SHbFR3IgsIooNDgj2phpvxbzmWP
Vrm+oLe9nYaqVtIPo9HY70AlI2APQv8lTmxGH2EKVAGBNsf+j+joRfDz4NiniPVsC1xY3PnU12M/
mENdVshnGOAxPJFJT7WL5XLwFiuBGF0YlcAV7+Kww0K3N8ZlpfWSO0F6ccMhBMDdjUPSR7ERYV+m
GFhXQuQKLqgrSQhGPeB87cP/GkRjJAh+OZnCDpbaxJquN/CrIYCmPlp4OKyXwpXyB8uh5vwgH08A
6y4ikFdTJKBj8Z8zNaeh6FHV9Y0Zv5SU3MNoirBP54c+6G4rvlk7M0u+565DCeDgj8CSPm1MBVGa
2Hk0uxmGN2q8ApJujNwcu2hf+qgMKJZKv7DqM2plxU/B7JZf+/OaRWntOtQPmmrJm6mvcQkvYvpo
ixKLooi9KUUGc6qP6q4ljVPitf6h33s+FLq+SvJb+XISxrWRVWHyFvbc52zpHn4x32gDqzE290Of
YDWJH4wIsBJRGZ8g5d9Eq4Qvmjwk4Aavgfxog4xKRJjd1YhxRFL0Qfxu58qqzDitFaT0GPkNqCxo
BkU6Gs4gARhOHSaGfHscFsgi4yR9Bg5T+2As7abVh04hs4CBisfMkviuyeETFLC8o/xVzPsEKoZH
cRMM38Su6kXdWZ6QaCvtWnMvxfxPrb4yWRRgpGNbNs7jkWdy8O6bYQsZpDVtjL7jEyCW8yZD5VDd
3ZhIIBvY6snhqwTfHbCGwSy5aQqZrG7Y8HO4m1zwFaDquTMNlm8FPDHvyv7k6trmygD78VMVFnBP
PSki8aiPoI9lg6OHzKLzal5/rpU6250WaKQEIg9X+1NKXnGn/2Pmti7eLvnOMUZaZ88qxa/iFm+7
89Bl1GUgwbiOVm+a2QD7/nCNN5GdltKsyFVgG2EBPsL2uLowkWBVZx9borwtJAV4/0+/4zChxTYy
b7tCwmu0A1u0LaB/S8B/EA9kVUzsOOWyxdDiNMHRM3JtcA+Pbw4pJM7pGLBgJPlAZIqt4uboCO2+
wgVmb5+RTNfFd+FR09h4fmRD+WHiFUQcHwnaUHKQu/7z1wuc9bQmpRurfHMIHtr56plHuVPuq3tc
TAhRC9XWad61FbJnbO8Y2WlcZoRYhT2/uB7sGiHzGZRBoaDChyoJHBynO6Agsy85HTQq28St3xRh
AVT4twajiGGTV9cDSzlFt4kp+Q0e9w2cJr4Ol6OqqtPLG23/8JG9M7FcNarN4lLDc3WglkAcl9cL
kSbplCqN5H3MnvV8nacVlOpupp8/VQTct4bvxY8aAQWdiDZ7CNIGEmsJ4BvoD4gqevV2QWSeUXET
1Q25Ikk/MgATC0DpSxdTSoTp6xXNge+yIu3n+g71un/acWtF9x42juoXjlYDIxhkRT7tNA0Al6Fh
7Q4EkfehQ4bVGYKrOXC6lZGeTi2I9LLU1ynv0pfb/hRHOYJaGrSe9ZszarBsAJoM8KgJgEOCHPT5
w0uavtuM2oBbSy2a917H15YHnEHGp8lFu7sY6IDs4EA9ru/ehEnxY4d1klNoSW75lOqzLXFwg5Gm
Vu8SMgB1uSVTxmC3T3zh/F+LPa3QbK5G2OSZmOm1jFuzQBhXPvulD7CP7GYNbfa2l4TmpKrq0ek3
dAH1pbECDOe55Eoc1Hf8A/ZGLcKlJcghQct13Vg7uJj+bnggTrLF4+NH+z/pQjRcZyK1RQGB46lY
utCbdK+0IenaGzXz8+omrHhFWz1aoE70l+k4FytCqtkYsbMKDPYh18SlIwPfVjG3DfBD+SRVeIuC
yjLKvrHRi+a/0MKV2P1vqVzneoKdwQ1eZhhehyY2gt7ldKPXBNP1p3OoZ9mVWgs/N2ywcR9tsJC2
iLPDzGqD9hbZo9pnPR7yEYKF+6rCb19CZYE+Wl1br7JALtByQYISOHf4ruQwmLKa3OdmND0yLwKF
Qm5MkEzQqw4KqyPtQjcm6JP4jIiJnMVX6FT5msH0VEa2i6uboigFI3LxVL4h9wD1S6hyVMJdVHZl
5i+7SNmLgaowTwSZbQYHr894l64DZ/lPcx1g1I2IsggAOnFWu/U5dWg/9NU25O+p0kPu9cXOhtsI
wRJMTFV0e5pknTdvLpGuSzj4ej5e+XJ+rqF6VlfyWFMk87BuauZe9Txdo6XUiy/gv3QfWaluli9c
oVr6ycXOcLowqYxb+HOuzAsT+EQaaiqLXS5W6Uk+A8F0GmNiv1UH8q5gI72KZuOoTGqe950odVHL
UYWlPtsRlbXePEmQ81d0c9lhW9VWUdDr1t6UKizfzyKX+dZghQPoI0aMSD3vgPSAmCjpI8RoNvSL
jxN15B5fh+X6QDNNhXOvzJuB/jPDL0j6yV60YXpicutLEYaaX/VpvQ2ARZT/1z2xeP7OM8n8uhjh
6Yd3VKZUXfkTCa7g5GWVhTpGtHQzoiF7q+VRQ99M1f9CA6QyW6dh7quNe+A1MlVB/sTKyLXpEVJ9
xEZjvc5WgBUQR8gAm5ecuo3zOLOGJvvR+w9A0rNxu79mJT7oa9ewzvnQpCwBKXwEbx8LfzycKvBe
jotTfxSCxcQN4SIOp3j8SoZLvtqeJxlgjz2ZP63ntKUPFya0YIrWIc4WFbaesfbtdAyY0BjjGzKD
eSAXBSgBeaRZDniFKchzx2Dq7kNUhhUXqLfvIc5NLogOSuSTp/yBNa1gMDglb8DWXCGhJAgThbVK
48q1H74KzkazvvYppcKbw06YNRA4+2ejZc92Zk9KPydsV0NalrXxN0u5HnlzgyTvKoWjGNRpZN6R
dChocn8D98nuRUIEucBWOQ2S11Ztpos4LBR2MXps2coV7Uy+qslUXe4FkzcjXHGbEI3d3I1oP7f6
YdmDDpOj9WadGVFU/1eEwd0RrZKMsstit+HrjccGz0SMrUiwbXHmUbGj0ro6HTMWwtdQ9gaetC8Q
CzDrAwQdLc/+xgLKZtgkCcBOwr64wh/wRkS3eoI391z14PhDamXucPM2LbxYeWn7nNDfwS0svJ6I
6i9J1YiJGBYvhcOCfgsGHMFkpq5ZDq6z+yRGrD0SkUuy2v7zj3VCKnnNpkTLeHg8ibSj2p2FCasF
kgTrZr74TiBtvR905RQgtTYEVGcvbzhCHJHjkEKDBvXQZ870uWsk9WdCIh9EKfJzyoM31xfaAIiJ
kP2nL5s+Fnm2YLnrh5o1gL9EkcVE4uWWBtcWTUvjV6cY+veYt1AxHNitkQdlRv46AOhJzOGk9z2k
C99nGeRMLs+vwFXTVu66HAsaDhv2iw/+WsS00aU85gEYi39aP+LVm2Z2wh+LN1bGxawbxATA8uXO
dLDxZSMq6IPHGnsdSHjRiirkvTCuBtsdaR0En3KqFDwKZQhCpESEPBSALuvjluNWBhsMTWmhCwT1
ECQOTIJpWPEpl58N/HG/mEArRzytKfoQV24jbHjyUy/IfOqOv1p8W8vKWxyP5NKKNKfVGCZ0t0B/
K54pBVC8XDTWGZuSek6LkOdy3eP4qtFnsjVoL2X0WXST4PPXBoGHvqLNjxoo9PRK4gKEaHc/3PrG
f+dizniJyaS6fv9DLuXB/lOwFz2F35HahnMHAb2dmcoMqnmYrrRoqgYT/uUdsQFVSFA1e69auMXJ
WxelvhpZIcpapVo0HTc8slSxzwC1LgzXE4KNjvTnYAHN61QfhbP9THjfnlYVZSiefiXKU3qgVqJ+
OjGGw4XZqGM/Y6vVgSZiC4NKQS5de6fhuneA9u6vlUGcefv88NjvIcS7JEszfJjPcvjwOonzKzaO
KDnOe/NdSkNIjVHsD9yHWTRkMB0mdmJ4sHbPnybGkrk5HIXujFUUmiYbSsYyNI1R8f2E4cB6xB5G
aqj+97gD75BWVhJu/gQOS24d/B4U7SJlF7WXuVpfpeUerxr2njZ7itMEub7HN/VOEUQv4WjweAeX
A38MBG+hsvyHq5UAF8HebL59q0wLiBZMSopMAGG65NJfzFpEngPqLhm4cXXCozJd0Y6qAcIXe/5u
hkuBlvhjWeynHiBK5s4GVxv6GvdtY4qd2IcS9YPD0puDojFjS6/yXK8yvb7cuPEdWOK30/Ua1nq0
xLqYQzRsInb4pXWfBvx+bnONvruS8yiGmKzVx/Oa+OGi5wUgXiAxur48x2qPja/WjdP6zAAwh6Pn
6IKS+h9+6ONn0RGNsw8GlsDIy2kEHlYliCKecvu3ydFF6DIURRYhS817miRIF34ZD/2QxNPllfyf
ltAah46GMotoXFr4n6B5sJhusXKUR31NJuNK0ebMOce2U5z3/OzlIASwVRg+t6Aj4P/9x1AemtoR
Lt2l0X645/MKV3W4Kv5dxl8txWMf7sfJKA17Z1isPr84KGupsXP9VYxc1DfqPZvjbgVd9ShtAONj
Jk6jwbtlEeuW+gr3DwsEJ0RRpW7J/wLAN2wwdVrXOP3xmicrgcrtcehAQa8/v76xTtzblLuJIxCt
5BCYwVxhFn2vWuf9QV/r8ouH3iq0a6buXjW+qGSyuoVLU9Nphgf47QFl21kasGovA5UjM6xGqnvl
HQdE86ba26ceWKigZs9tTzIt0bIuhERU+LQst30SfSs4KchGHyP0cIiYmRwOAWINOxnkieqAkVJH
Zt7kOcNuSfdWWVLW+VLK+BWKN3p0Q8hLlNDYjZTRv2M0k8K8DD4sNlSmmE8cgJZ2bWDD4/W/22EF
zJioV2ljnDPxM+AqzgqCtReRnBjvUJBKh7yHZ0LHDtTiR7KYu5Yw9majfDpLndZtvFGWVXhdJ4UW
uT5QPe/AVkKiqzG+lO3eyxbC7zEHhJU3DIsKspY2H1uu5MdG8in8fvK/VAOwq5rEOJheCUy/ppEU
LITfdF8bkNivTXtYSprCOWdRq0ZYixDMHYN0damL+pllPDl1s4DujfZVdp5amUE8MYPBJRbZTF2L
nPHAl8elYiYap0/B5dNEVc/m0oMRL31vc4heYUKOPGsnslsdqPd+sQb+QdFc0L9wr9gxe5FweWol
Fp+4scOeW0ui9s8m67an0QbI0dFr/hf9a8IEQ3fYkCpeea0zynwETVhxcGHeUv6KpKVr+Cn4mny+
kXOVI8Tot5GgPdT3OiACFExf6H5N3LwVFgc5uSA3/ER2+nM0Kx/hJa2KG0OZD3Gs+alTcTge9/sT
RQZ9xbFx0DVcMtKM34BZkog8X6vvbSXRFYtTQj37jfhO/LjFr2ZlFbetK9djvPGMuHqAwcayZ9V/
GznobLcv7Xhj30DaIOyBdY9PT/DwjGL4Js9x1wTHxxMp8lyHpwSiz5kCD3BbqdlAXrs/GysugJM/
XILDmkYIoKCzbJ9BtuvIEla/Q4+eUDHVE0ghKBtk0KgOcObBTPEOIY+AJKCWUz/uHhjPt1Cmnk4Q
dYkL1Fx7h6Osru96cY1P1aVi4oIUkBbxNGUdGfIrs1yi+Uh9PHydGCwiBmOawhfVFwE3uyZfWKh3
LK3RcZs9QUqtjuxbZwA3Rk9OzY2Z73bl9+rSoothYZC/FUN/T7kNeHNZ5rJ8AgZVuYsY4Zf1fiyO
MCMlcSyDVvpR3/LSsGuV3P6QXI47Yyv3PRg8vPdW74kSDc62Q6fyCXBb6lRBIl5YxyZ7KigTjEwr
R5Q077H7w89En8sN2I7nk9jPs8HMCkvIgpFKBnYmCKAFxj3DLolygr8grTUq36BU113xpPDaEnUK
CalqsFhPLLq7NQQ+WtDYTY5XdxzPTvacz9N4cfsA47L5KKRNlmjn3YjphzQPGoJKrMFQdiYN3bBE
6308A7SYtdml1UOOQm5iWboDuusvE1g6KMJ+gCR4maZJHosJYAQfaHAj0pbAhsPP6RHBoP9ynHLo
SDKGYxuh8PCztbQUqFolGIJgpAD+Q+6pFZSnO3XQCt2WZsZaSL6VXY4HaEpBMomI7JYFX6tvErOr
Li2tOKYtsu6p+y4oJMkVWGBxatgfLC7BBOZLFYF8+imTzaigeVoZ56PSPmwGtytsW9oNWL1lmbQB
Vz/i4t0qW2cnIHZvqYGGFdtwYMxCKdzdFYcapIpfkwBGKzBtWlcRGsgFQkWTfi1gtiWObfIj37tM
bRoCKfqxcMpMxKhuZP1cjakcp0v8b/LZqqBOMdzPprjKd81EEoY8uXYI/U3EeUqRNN3Qx7aTrjCc
Ai0/MRi/6YKMinJbEm4dimYzQKQnfKlWg4GhrQGYUHe3C4AyePK/6qgB2uq+mGQCOJKlHMnccEWy
5oEOhrbSUWd0WPBelIiI5P2WHE1HLB3Z/6rUWwEd2wRi7qKHBPxpkX7NEgAZv6QYcdNrsHBaQhiL
ww3Lua3U/YiXiv96A7QjwlQocAMyU8IZdbpUWckIgTA+Qx3e4+Fb042aUd+z0KHa4DvcVR0Yn07Q
SjMommMFdGpfipDGLH0HH/gLAUsS8Fo/aV2sb5rYDQ0LqbiPGUAvjz+yNC6pfbFgkzHcYiMIX/IC
eyXMYFMrUuFOz4bIPaFazgPtfkNEKhlBYwYJk0vrSCT95h9gvS7BAUHOwVKQANwwWnDKW3NOzIpN
FUw2s5He3ATp976tbkjmulw6W2FtYIQ+kJjg6eZm4bp1O/FeeE8BHxmtcycat+v+9HKJhUtJiapn
gOazbT/cSC9Mo4gl4ef7G4zVMcuXVQ7qq192OQTBZJErclSXjM7Wt7Vow/kei3Kgtuo8cdaMSMUW
k5bPHN01XNQlHcLSG5qzTl09sUP0+k+NvY752oOMRtTgx2u57ogHvLUAr7uOPCVrh7HDa+7o6N4C
HcL7RLIj7nuORkIa9ZYW/9hlPoMgn46BSqKYDvqBiHZGernYChe+bZd+Y7VZP1yD3Mc3oVEM5u9g
kaxnOQzpety/r58UASAkDb7danO2OWWxOp15UXE1vpz9wcsWHhHjjAxm7X3B0rVblfdEAahwkS3f
M41EmgwaIPsNXfyx2ft8PRzR9101aKf3bpcmgraFnt8ru6AtGREAJ0zrG4wwga+MtUHQrp0jA9KO
z52cW3KyUqyATL57QM2zdDDrXkyIbfeYrLoTmx2n98mSShTlHzhtZ4kH8hntG5808hx1YJH8o5UZ
K+3NrCQ46LHxLqgMHIkL+j1ca25YmhZbmpOTvlIpEDCzYczT2f7avXUi+e5zr2jaESgsLBL8h+/h
AHslF+D5XdWcP25OHvOhPjEgTEU/pUlFhw8tZ56kkcJcG+PhkdYL8vxnhrHSC66pMg/RC5Vrf6d9
RT/GVXysOPr7bTi0gfvUuBKK41bdpXRx7uAw+nMYKMbSbLVTOXV1n2xhf7o/JTxt66OqMtZfEvfH
XY8L2TvncvxdFQ0ZD4ReIcSsU57NV746HCD0eieSSEWUchMmHQp1vy6t/wT14gDDOtYx4110Ui4k
hRZcD9cmQx2UN60I7xfEjx/ojPDgKcOp2b3drjbALtvDlWHdqLGOUGwVwvTdvDZ5hF18H1jbgyxy
QCsHd/R7L7TwOwyx10Wtz9pVFQJYn+DS4hIk0VkGMkzmJ4E3pdtDRYQeQj/CrJwS2P/e4c0bknOR
w8Us5eLhzzUM3XEY8HRZfEaGzNMoWOyvL6xUqXawi6appY8kcBscue5eYD0QWSMX3xHC18aS+6G2
qHeZCw0aao7GRKH8KwiWwxAAQxeQBFQ1/Wu/JrrJx4PK1Q7Cpv4MRnasZSxouuVrpWSLY0I2YzWm
y12890b80BiB1JzSqIqccHEIeWj5+zeYGAHJdPZD1V8O9zFHagoDD6B7wl5JCoDUbs5TQOls1wDy
tkshkBMKxIPR+79hGd03aeCKBoUEvWm/ec5oAQtd9YhaiALFPUK8QMLPxUIi6vpn5T1IDo7FGYny
fb8Z0SoeVa8wUmnXsA63OG86XXdBX0DGxB6rC//d7jsxtPAKB7fFN2M6pwWC4mr7vgKXoNqdKQzK
aR1PLEbbuCPGmmlN+1/pFlnftJsFNk+muLRwpmYBHxjbixt+YB9ur/pfI47sM8SqLVGtCsREIGc3
9b0bnYcM+V5bnRWUqwW3do6dsYG2BuvPhHypnnSxvqJ/K/udQub5fy9E7Uw3e+36m/N4HQLk1lP3
ZsS4rPhsthKF2FCtdsnJyX4aah20d4DT5wGW0T6FxnjUKTo19BUrDJr931jCc6rLjCW/FIE0lkrT
JMBt7yMWY0NdsJvObwcYe+pe+007LLHm4pE2Gf4hNaW+kqoPAYynpGzicXYtVIWhv2m207pKYzUm
I9eSzmUCFjyQa7yqwVLB353YzNFIDBJYRmhH6LBiQUkoj4viQXB9YW3+EaxqAEli1vwg8JJYtRun
jtQVW5OeusdL8WR+1uhI0zQ9SIvjrSSqGNWEd1QRZ21ZnbBY7m1aBFZkFmMzB4yCvzqiLfxU2psG
It+bUS/l+jCVT8h6udhIlJNoayVQB0n7vsTIP558EGrQsmFwtSjs/WIs/dinPJwTvhcGbEcKTt10
aigChx8ehLVs88KsKaAOJerAre/3I77hlWLaWUWQLrlbqU5beusR3XjB8iwDcABgqNiFoJrvsN93
9Us8mqbNJM5fZG4BkjrlNO4op6nyMHMgUBOpADf6Sdiv8hOR1O617ZdmYrKuRgjiJjipX9Wds3r2
4LqqHYfsKM2EQEsQpdIIuBp9PYFGcCdVL39ZA+vY4Csu+KxJXcPNe3RoETpOmWqsiMEEJtnhmicI
E28T+5afSOOkkIEcaOXY167wV9LNg9u/NS0wYJqMb/E8lakvyy4NswamvVsM2lO9sSZIbPfdq74E
C3Co5PO83lGVtiVp0bCKSb1MQXXdkMUPUR7AxKR8E5+d7Jy1xTd0bxwYui+XCxsyh24n1g0cYlUD
lij+52DlRfSV1r9IM+eLy+J7/TWjFYLh3eVRZVUByQFUb+O5hYA5wwG7p//lRdsaHqL7+SLRiNgk
evxyiTiELv1jEGOAoiIIfmrvEYPP9ZRB3tclnbcLrl8cCL61opO0DuIU8+c5gD6mK77eMLb7RLvh
o7jwoQPSYI9nwj/8OBX7dhMcJjcj4XNsKUGnbhbcijKhgaYp9adi9EtPdYup3FEx0oSQa7FMIyRq
3/OYS3WP8yM0WBjEAuim2hzIwPSo0ydT7Q8ecfGbjFBoCs7fNh2bpHaG4PK0uBcyyrZbi0IaEaZa
HoWIC3n+B5CPv4Xu5vgDTsD6QEH9Ai23hmb1Xt8G+tIIEsz5toJou6hznhzpJ/oDWv/jZV2ywo17
mYybtgOq3nZ2V/d87fm8/6oJ/rOtSyNcb+dAqJ1JaMKqUlxlVGtmNiuD+M91HzaHbcoG31mJrBrV
ifuh9eiK7jM3it5qrvtRFNiLCLnTf56/8rwZ3ekBJhHvnlTvCqeCaUlKm2X8hywNbmKvlx1Pzgxv
+jFU0JnPZDUMCvfqGHJr0ENo5qqeRPhERN0aavWxfXId1+2HvEmXTGjrx4f+itB2AVwovA5VebZQ
hLmQRjM+iRsaWfO8krsNWShldJkE6WS9TP6hJMR2tLruLasaEl05zjwy93JOfwZSk6ApA64Ifi4g
pIFnKSjDu82YFmMKZCUSGyd7hSjnfO3cNo6YMd5MmNRR1VrwQAps4CVz3zF4n/E3AOXR/kjKYwQa
faJqLjJV00b1qCVUWixIlhq/03O+NWXDgyAUhMwRO15gPskh0MbqVqJnx8cWvIVTE5jOnMMLyvQd
BjkpR2Xu/6O/hWFlcK4hpj/5aYLrqRYrYwxGXlE164yvzw2su881BwCfWvp3HvVRk9a8+Og/OPA6
L8L8zH7Dl2gYd+1QVmW6fHMk0O9HlnoIYSvU8mcf0r/kr+53IE5XHd1ws2oGmcMkmx10rCGQK2Dp
yDe39ul+uUJdz7f+W3OVnz9BEA4KkOMz/X/ANwJ0tzy8Dj5utRkBsuXBHh5NSJB/qjEpmTbMMAb3
vtr/oj1QNr62M2Pr9CLq18qEZj3n+ont/E1FIuXLA3KQ+dcrnrNdibqF2izLQTAu5gq1nqLB9A0c
J0loJW2/svGruBWj8rb18c4vJXo0kKOlnDFS8ah5/3F/Ej981U4Ykr/2AKtLMznbStNN1qib6+A4
dOTAdLCiGIxm1EGf82uwPyoLmVZR5R+eSU+FNyCSpcn0NY5wP2YgHy+tEIucTUXGZmh1sM5CRneB
2IbGNlWu2Ql3ZvxoVz4oF3/YFCPlsYrUtUn2kQ4PyFpa32Vn0/NZr4a8b8dEDfHuY1kKtUincMip
3TyPNwmeVTcLYMjx206lr6GjW/zFJPkfdCep8UKcOuz0PPqqtuTDY3eOQMEcNjVIBgUf0sBVGGNv
ImOgWVI/N5SsJ0/Ao0/TabSBcKDbS1TEY9+W/fZBPJcr44XCrSm4Uedt4lX1e4AIzD8o0rqMarQe
P+hYcP/7zXTIJeUwqIlsABu4Tnf8aIANu2hJMM4XgvngWo7PAerUnOpzQFcdMAL9BC/DJ7cUlszU
Zq7nd0r/N0/3ziC7ixRlW7kc5ENgb9Eb9raz1MQx+wkuDxhDVzCHW3KTzlSlXA/cfDGwrrHAgOr8
CBIfGCWPLquMqLPiSCrFogcDHmALaW22ym22UkpNMx9GqZRswmnG0WcpoQDx7rw0TCjKmpnZbsb4
1NpFNbQy0juu3l9ng3krZ+64lfsgW4Oparupc/2kBWeUlTejgoqzq1n84wvkU9hx9/SM+NGcX4bv
9/EwK0vnqSZzj3+8Dk4IemV93MhvjsSYbJcfOMHrGbzhRyFtUs+oPTUbrbkTNHA9G76Tfsgl5bZn
74ylaj9kZqIJ8o+c06zRYqWgWDakSfR6F8StjPd4gXGwx/Cud/CjebpU7lLWy2Oxp7ZnL34dHdej
T/hvminIjLnGYz6vCmsIJVPyHbMkuBLr/J/hn+5ooA0Dyd6c30AZ/GzCAEk4IL9hzHaroI/fxeVq
c2pgzx5WlkN2dnA4N/uMxngnYsVWNe5LtdMYmFeQpVcCSs301422+fSplcSlQ2prpZiCd+zhO4I0
KYCjgsohjM/U4Ru2RJx0g+lc/u0L5uMK2kDEIU8vDrz0V5G8n0MD01vJSkYtF6XXYIYgLYtFYXyW
1nzn4SY6n12DOR4zzFYR6pNs7KyRxB1asIV7VUjqrJj5I+JpUhDyRlTBLbk61E+xaMEX9aKaRZDd
4rxlnFQtGHStFC4XQjEDAapxXNLTfpv1kEpJ7q7i7awUPZA1+FY7Sd3TFjIxFOo64MzIc5b1146y
DKlK2rWN8+UtkscEro1xI8uFr7VgcsECgkocMqXbLyo43r1k/m4Rfnw9/X4SXuKWF8nsKU8kntYb
vRApawmR2Agg5s77EkUXiCz5DDJTm5rbxvHgkPz+oM+AjZg95UCctxsOk3jdH41b1Cbo+NXTQeq5
9Bgy5A1W6yZUEP1D8pWysvpBXjr7uC7OgAfrAbsSrlDWPKY7WxdXJoxudpyAvQi7eV1v0kSZ2CaC
kwKejG7zGEpXRsJAfVv7t2/cGnHJnZvJNXEhyaZZepplb0jzCbcuX29kd8K1zwpIoJtirmybRjR4
vT+7WTLYPGRH9iFoOylazvCNXGV00qXpUQl6RdKFYFQGVx93BFktpJGLd3k3BuwbgefX6jQsBGWk
NHJ6tnJPlXwZ0PgwYz9eVWmh5vbL4H4Lqyb3EzNEjFgHBWcFHmn3lwV23cJkkXOBh1P8dA3+psqL
RHsz9eaFvI3IQ1Mb++a5ur0hUuep1o8NELoOWdz6jynIRWZxgRYV9ngnWc4X6xM31qs0rxfo+bzD
PUhKv/sT3wX50je7YHNeHyqbQ5mMAzCCTs6Bx8ce3yB9/m+s61tR+9vRf3OmAQf/9OZFD0vxqHli
TgF/ihjm++A/679SJvwHt44N2Q9W1Q+oMIilADGfQM6bDtnTJAI74GTLIC/bVOyZSoxdT8mN8kfn
LNTECwNIqqfYpeJuZXvrSwiV5jwmBbcWc+sf8ixA7KdzMV5C85hxD9xjg+7xOiFXWt0Q4z14mugO
70SEd+UsQv/fybqgg4YZRrbVUWqpkAd6JhqWhnK7oXqhg1tjwqqWqnO4T9hdGFNchk3BdkiaMOOW
tz11clXzMxNqyxCVi8reXCu/spHbHi8MoarYRZn7qUWDAup43LFSucjKeAjOHZgBdnyN1dS3vnIu
+JnLmtDGbHYlT+TH4JDsnKMyUqxGTwqimmy/qGewglc4NRW48S6ljp5wyNOQZKqWSokP0nLiaK7u
eYUS9fVqKLuCnnxZ2ViR8WaEa0uqu+n+tS3UyHY9U8IfN6Z0qIneJHpH5eK6tOl0LRYYFhAhYAJz
fbRQMn+UFEI5vX9s0OsfR6oOrvu1KfzqAuXy2rdDbQR5eWCWkScONpXrxGmvb+2tPsbuMecaBfd3
lUFyEt6tEA0g4kDQ0JQjyM/c/s50oZMuimXq7RMzmOWEBkF/ZNK9lpHSKp++RZDETb8zWgSxVRpa
tmaj4hY9WmbBR1HMs3TgT427coR+BR4bCEt5OaMn13mcwcAKxGUfOPuLlyKKrQMdswodP0ukrA3U
pEjfjVrepl3r/NK8Jjih1sLDy3U7qg/Ae/FpDixEueIoEy/7oVziIVx6MH2Pv8p2L7+2o/8wGi9C
DDIWMFgMat2KOHfWddlAiMmHH6RRMi2GnWukwun6c/NoIYT9+WKhGJfqnuD/5F1YloCPKqL/29Xd
+BckZ16lnFqAPvD6nBNurq/CQn6X5/UqhKPc9jxNNJ2QB0KHP/Zp7dkk4xxuPpriHG8Z8Xi51OwZ
Lvjb7KH/FOddGraFtCnTK95Nywxc7wZ0Uyc4lAfFkWvuQOkqnFin7ZO4q6BY/IdhYrAh75SOrHDl
20tIvlNd8I2xuQQqzwtgC+sLDUuVOh3+kIhjBS5b9S37KVj5M3rWTrtzp+umW240aHkzQpgBgD2L
N/M/JVTv1djmu6uIr4REH+eWkFSUpwi3lwMxjmMy9rr2Dwsy10A96HDppBOKwlD1Uceefv7189Vr
ffQPxnyDJXrA+PrpGDamWElhqYnKe8GId4DT2IAp2C16jfVQPRFnv99EztaK3WR4HtoFMEVEL7wD
hyOdQSeHPgBdsQrSZGOj1mb346SaU25AAxHKBI5EWIy4isFFo7o2yMGmEE9vp2jIOADI+jFity0w
6K3cnYeV8MuYJhsFt0Cxx1Xe8TorJZ527ul+d7RgyidOZeER15o4XrXghCxe0k/3u9iQCkiJbG0d
jKRaFBkc5FWChtVUXCCHZwV7iSXPmoSmFXV9sA5OE014//tE1+Ha0xn2ABkoHrDd/iO9gVc60z2H
pB2ok1x4Pbp62F2Lwz7HE9B1dZi1QS96BsyieYKOHf1nJ3iKCdv8TytWg45MYgXbMySAIDOtLDIP
HJJl3NfqvajyxqHhK289mlJkzDkfc0spn4aM2hXIpcKXG+IXAv3Cn++DxF3sqMXbPUQM+mh5Nm1O
rvjGInW4kqRSXhSVYtYETNaHWg6sFCGnZ/pt7qNCVR2UnSBDkePxjqMVEVPModaVtrlzOy7DxepQ
dmko6yWugRo95nqnpMglgXzLcAm2DiLhbIwf7/IZCWz/gIYwMAo7sUtZJ6vR6CQsk1OfJAfNMxav
CobSl+YEOaiYdG5fnDaOW+DRV4TLiWxQUj5JwqkuQKBP5a6GB49zWattEUen/0uy53c6pfhpy74B
Bt7EPaeH257KqtJaXGgx5OqN8zb89Z404s7T2R+HObbzHnJbWTvLz/H/CdFaZW7lxptHpAYoMqqH
XO/MwV1oihJzMkOoMKPuzF6/aKs3d2tplFvnol4WF/32StGbSUkoOLXaNz4odYzxraUSgjA+vzUs
Z8VHXFjbnRk9U8RAufAFVEymZ/ldLN2p4MPMfmlVnkl/U19lMhTsaQNOfbbbpJuJfnbi2cT4FkzY
Sanp8tRNgvoM4oU9Gh73qDyzjxTUXJMlb15ympQ/Jn8imcqgjAX7X8PgsxxCqc20cnyi7vOxypjs
JtB4W/g9wzyiWPcb9G3ZGdqthUCkPSHzbVvBle4jgcEuHZoDt3wecJY2rNQw3CT+XzHLw8T5Pgky
Qj2tS5Yj7O/WuYMY20ESRmrlt0W5Txq03HkvmNR84eoOPFhne5lRJK508ekMOZRoUgJfF9SScYgq
Y7DtXfNVXCc52dbaYvpXwX3SJUtcoTzqZ0ieQ0Iwb/qXBB1hI/GibTDT+TXh4vaz2y9V1vNZtWSw
EltDEMx721+UKiCc7ViKprjCcwxzOrxS+lhZ7ctNxBhcMfsgTW78tlnpaYVmRcKX1tn3//PyGlba
QH+W8Sr3vvF2QDLfdav1OJ6umwjyQ9SS6xpeRu5thCiibClVQnhyqhi0Ye81XsqDcVz9ea25Q7Wr
N4j37/iRcDS+PgxTdGIiwQ6HYVj2orCx0Ug4PxYoVgwMnXX73RkFlEeefgRMMt7FptirXv7/zHtu
v/hQy4olXuSQ23wy4AL355bNBPnDCIr+Aqy/QkVuNTa17dqQ8C0KjaQOynJtmNAN6BZ9mYBibZrs
Z2Kht5B7BV0wLuOQMj+JhynMXEwly8SiFcNq2OIVT/J9pSopDWXOhf3WF9UPcKk7TQEH8/bJNZqu
ZMH0cyYieLX2P8/v/fe1EEdcsCed3tWJ8EZdW7bWLv1FAfy0qwz2hdxj3JW77oQ9jmFoa1jLVtYo
TsXdAlFipAmFyTWsEEPMgLl5VysrWGXEfh7QaHHsIcDwX9TeJU1GVp8bCf7xe9LdQHpTCepfDg2I
cOYoX/B5lGbyrh5zTj+4pY59bA5U+E4xr6odsXMvvyOoQgr1QYpl2QixvN7VGq7x34XEWu3JyblH
YHs1lJxgCnaLcHGmAzLfbjs3pTOKu70QAiQ4XhyvSwvDJBte1VwSnKiKdfJ5xfA5Ls5hvnJXMbMn
GklcP2oLNaIXbV3IMsU0ptnD9n2fGzi3KyxYyNBTjD/nLiHc/MfXP6gDBkGegCME4PJ5hhU+9Usp
YpZ+FdnJi3aT2TlRHoSIwdpYb6q3iJrg+kWuD7VzHYs38AwoII0+z70W8GlLI3CmsRB4MSYhCS0F
8NrZ+IcgN85AFAw8JF0c22Om3gs1VhkxqFV5ABwjcTPPoh4fn2ArqRVqv98qWf1VrNLWVoqB1ai3
/117XUOuRxIL54dHTxFbK9j7FFXd3H1FauGk6/UZrz4dp1xVfrY97o8SnKcXxeO9Vom3f+bSqiOs
jV9C4Oj5L1/pruGHAvBG3qzK6v7vw8qCtQuVAt4C2a7XxfyCvB7yiCjpGqL60/aTTDatGfrBsmk0
XMHJCVnoFKOxbX7bza6YUt854Nd8IBtH1NSf3VvD2FD1Os0jpwRislOW3iCrful1KCuvAgdymhPU
BTYIxL8F8Hs0N9hZGO4Z1t8tjiMsUZRLnGdAxiOGO494JIiqXmLwP6RUbVJFBkj4iBPW+7EL4OSA
smvg9zWfg9JBt3tFx7ol6uiQlBlBdZrsLwAlykaxeOJe2TddHMILz/5Au3rvw5fSh011vyiQyKPI
//HUTRPM8fqSpZa3QBx4FV9bpBitmymNLWSgingaHcRc7WSKbq94+kMJs1LMpGH0a/uW2ond+Ama
jSG0nk4rQcGwgRVQAy0wSDwV1Y1JAZn1AyG3fOOe+Vt6FIiGg3Z/iq3asz75auZJ7kCokOpxyF/8
EfQHNmUOEnt7tDONdt7ElXn2zs00caFsFJo7Moz+kGK8Tvba3Ls1fSuW0noMgs6obPFmYsnHXGCj
GlbgYzffKkFr1DApb5yYTXvS77boFNcKLpu4GlMBp9n/I0ytrUQVD2VLpQ03f/53BSSGvkshq9oJ
PIZSzz5faSpV8+ruOCMkwMedcsH3Mvug+jCZcMpeVCPkFuhmFqjo1aMybbbL7xkU3Jlo/eeGTu16
QMXLp3cwPamrztbS4Gc7C4N9ixCy39AZ1QrTAhRlbus++HGkW11+KX/eZ1GyLhBqqZwop7hHZfz7
XNV7gfO+/kXqdfBCaOqakwFHzm8+vpQZZJfRsk2eWhE2ccCtSIz+dqR73yQwtiqMZJo/Gw6ATAwR
8XXsdoH40XRIyZ/dgfV8souDclcwJKFz1F6Ef+TdFe4GbVi31O/vU0tG8lt6tCYuROFixUjFi3is
gdTUbi+sBs7Br7sWFGuzRziJUFJoTVZ6SMe71uUYaBM8RSbyEj3NZgpFY1tt+cMCNnMSQ/tu8Aib
vi14JT/Hy3jzuUMby2uiV6mv2Wv6VNX4Mc0stEErPxgRVn+eTUcM0KHdrydL0oIvURhi3EHlLK9+
h60wwfLf+nv5L4Pshctqcw7JVmkcwwQTJHWNNjxRIe7L91tWkLvN4/HGVDx5/Xv1ZZENrVMA+MnQ
dsNCEXYfM5FbMAop85cKS4wVMEmXacBNnO0xu++uj/oMud3U8e8Mfw2ngEXq87h/jdki0NsyXjSx
RBBPZgZdWOmn/5ICa2zdHwlvNYsXnieyWm7Lr9R9RF7B/gg3dhK5q5iD1Ql+raLD2dkBao8MM6Bs
DZIqA9obxA9tqbWJcdRZyx6Qu8x6Jfk+Ps237Kzgc93EoHbW6lpfjCn8RsCEw5/jwyveOeytVyRS
6FSwnrDEJMCAA4w0yh9oGT/MGARvDVF4bUJgXUmZpo+k49ke4w3YzN+G1RQV6W7v1Lw/Mw08N6Z7
mxpAqEtaKW+15u0HSOrWROezZ8oHw70N0wOKlVZXQqhgUauAPb1/aU2Z64ReCGLRbUP+YljYAXfT
O/zTwh9QalXhEIjFSVS45jfl+Kln5YlF/TkoEpGqLJtWaJjpn47g84X8ESkgoPPjYyq5RFxaoPUe
m79sq8DvWx3l/vtASTlc/rh44TNSyGgkW6VEct4fflLrA7RKTyaB5jBi/cnk2p44A7QR/OF45DV0
S/GgaZW0ayPOwjYIy7brTSAcwhiqMyxmLW9TJTdXASSGbAf8y7IDIATgVZUgQXDFkBg+q1LGGzd3
1UHTRRkCQwduPqOzgFKYM+IsgwecNN6D44kXBT99lJ29FhWDaVRyfXvLwBWEH1zn8RrBd0qiJP3a
8pfdSiHbbzoU1DbHvs30Gizmsm3vO/3JVC4XYoLUXGAzmAPHdiIMcwQsLYwAHeo7bPovhkQKDTvT
HzdDwrjY4eh+wPxPempoW+X9v7iK7TrKXrf96oLJvITF46NXI+9FNmpHAPSrbOO/+pHNZPC0T4Hw
W6LdiraBt3KHPoNQxZAot2BS9evc1w0qfpl3aikIRvsaxllc8IEzRjP4Uwxnwba13PxOdhf4nucA
iahCMfCvO5N+GDwEx62hYLS5CaYUH0f/MNOtJHN7UCz7W9qyXKdC5PP0PlGBgPva2NHgmuzONaho
7j7P+QRpDiFGqWjE1ZNr9Cl4YS/CCaWQed1pXZ8HWwQJA75xzU+My9wa7SjkL4PemJOQIkSeasvN
hPnZRgFxzcaehqwqCsazm+gtgZTar+0EyQgPNF67pUcK4YDOq1Lx5meekEFYFT6aBNGM91wLkP1N
RQaNg8b8gX35P1wlG8fwvA6YSGEYl+AXLjIOE8rLonVuzUeUxUCMVOVKhfGKRM3AtmfM/vRhcXFa
rh24eFhThQ5W1brNLpvOiYWC1x+pjCG6gISnlrsRbuxIGDM2ga0YA7wP95b848sjODu3oU8Gl/8O
q68HySRfkOWQwXF6nCUNNyxV3sb/2tM1UM2DPTE349SPTs0VmHWd3+XmPdnlJAT+q7epF8I888SF
PQsV5I69QuawbEVBxStEnU9RJG92lI10VgiTejmdcCy0Vdfm1BR8H9sb2EbhQOZ9MJGzCL9+Qqhk
qSuh+SSKgXepLrcPEj3TJ2r0dWv9He41qMzdWVNgTKcFpjAjoldF9GTRFPo0wgbP3DEVQtc/rzL7
HJXUia8wk/cnyG/3qE3VWmiYX52DzHNE/TeFML5bZgq40TIfcPkFDLTBETJEXkZXWK2TjiErx9+U
7qy4s9u8YWs436r+gsGPBGMch61XA37uuQNzJv2NwKwyyapbTtN1MLAny2dcFv5sbZsEBNmfelgD
VhOTNFmTvZ2dy1GPf6zizjU2IGyxOJH3/ltqt1eaxTxCmykYn1JZzauXxxYgWg2R004u6cRB9X1p
hcWy5oQPBH3q8DUr5Bp8VEOznVNTaD1+sbByNkyWpo+q/pd7S3r6o5hKNEPySpKahq1UdDEm+leE
lPMMnVofBPbAYzQ2OaJW7s7+kes4ZTjrwB/xG2nE42YwhVbMZglzW+ThrsdYjGudLzkqugz19FBT
r6BIdU/w8uSSq/jA8rtsaaHzuB/2QTk7yiRzmoD9yA7NoXKebx9WuykReGsOjH0Eiyg5mQxoiAoG
j2zSxtuEIUcPIQo7xZ6hsLDWA4rwGIZuJMopixbofXUEZUUzyF+5+ZVQf+977luXGMmUgp3GIaN6
jAA8HynLakcXnX4I1EFumzdh7o3yICCH5YvZ8ZzJJKoEBOjvlCL60YGr710ZDVRM5bgisP240gvp
QmnNw2kDVkMXOElaNecHN57oeC4FQE0AAcCm+dApG0gDI4mI8pe0I3Ts7Fx5hPaiI9pZV9ipp017
7tg1iEzB/DsGrTcwsBo+Hr/CZVjbbAUpJt26B/BIT9R8fq540bvJNKhDJ2SoTKgwGOAbjJLAq6yx
YWh/y2XRADl4lUouZIN8L/5Fu1iIJhvXCO40GQVvOR8RTiCn0HNpvHsd5kcWPq0xMzG7hPWryt91
rwXm3idbeVXZ5166okzodEkmfslT0qPQeJoQJmtUPqS9+w19unk/2ueRwfV2Iq1s46C6Bflbj5bE
erxHx2JNBwhMsYrd0Czl45G94InXpR8qEuyoJVeTW1gPEeRuqvuR/65Fg3W6OZNppH7cEw87EBTu
xMxv9xdvO+w2T4NK1ZH5wJ8eVanil3wdSY0ZxfOm15lGe2eRBWi6hU/Oi2G5oFmZ7QnMMafCilIw
nUIwF7jcLUJnNGmHcn18Cg9Mde1FS8jCIjUslWAx0yXykfErPGXDAYFzX2CcB19m/7VbJ6r0HIAd
XDtHPIniCP8k4ddnHuvvtgXw2SLR21wssZ541TpSnIW3F/WOi3pK/HELgbcE/EMd6kWuIz6So6qk
mDA66bPB1pLMHo01DZN6hTH+4UmTfu1u5Z6lm4gnhCQnR1hHbMTPPthnG+mNJbgfDu1OZX2IAVMb
L6Df15R1oUSB+jsUfX+OlkZeQezj7NO6Mqfxu7ihkzZfcv8C1Rkbb5QAWtGQj45cCLj4JyfA1CwR
kPb8i/wJHkFaG31nO2mPn0Zy1SeNNWg+W7t3dsFJTotK7i+gBApeYjU8QcJjh7/tywPG1SVZLMpw
BO2e4smZI9t0wTadM0Zzy6PDj7DI+bGLJsg+vJbLsMaFhkCLEW+yU04oDU1pKTs+tRUdE/6p91Gr
S5kSyK6nRlZ3OABgALiYKu6SarSID/m1BDuPHYgk66l4hJnII8VZXeuCmCvw9DIIlQ3fltISFfKK
DlLpZvY8InxGAnatusjxGEBwhU8RI2MR8t05ea2zEBy/EtYFHaw15914zg3gzU5xplR4ck7/sKhW
wwRyT75K5mRRN1oCiUstW5exGChrfQvZF9FTlssJ/BWdic7gqUSHm/yd/aOONTDX4+OPxQVxkGig
9ek4y0lN5AcWMkyaYDBcbBP6sKyQWT50xPvdOwp01eXv5L4JkiHFE4l2DkuplCUTd2TZ1ze3GOi0
d9cwTlU0wKyNAoMgAfqRnImR+2Tc/URUOo30Y80VbM472r7WP6fFPZSbveS7xq/QUg3TdRTRzD8K
xxpOwG+8DG/56aTekBVJhjpjV/SG3kL3+2MPfpZRLO/koq4qIhxWEJvVfubisn1Us0ZQPT4xDRK9
6C+zVdWv2i3fxdjE7B8eon1CHYze+/JfBjEs8n1Cu5zzUjJOz9RR038f+UO1TjQulxowsvwwtCKF
zOOJR8nnrJSk50qg4OCgzwbGguEvbCJ4C3T9hQy6jLFJlJE4aMJY+jZ+BJPyRPd/A3DyFH2jCMsv
Dvh/aQ+rD4okFV/gulkTKkhWkPq8RTHFkfqKz0j2vKp/tQDMgZ7qPngJV8QghnEQcupfRnn4C5F+
WMWVrmvVxaSK7KvLOu1Ie+iYkK7gjskm/TrsqEpduTvG6y5NVxIzAXtMAmYlaRtPyJvEHtJzCNtM
bzLiYJ/CAKtYo/5tSf0cgmV/OdMah27lcox2AOkVosbd0uJvBcYHbmD8yJhd7W0DqF/JYUFcWXR8
rm4ke4z59Wcq1WmqUkoTJJpPiA4CnCT8XaGo5a4Pr/cneoljU8kWwbBTe4OO5NhG6QrPjpnunkXT
YxPvmeo6vBCWJS68X5ibrmsBINCOkAX63PU3i70IIRaxYJf3q4bolcvaHMlKsDNjVo2QekxmJgK4
BMJVldH/LEbAnuGQp/PqeWDuwu3V1Ph0JXwG2Ad/fMKDJ1GS1bW0vdFSa5mjfCzd09eKtFrQ2vPQ
6CObFaskwFY3KklfVHg9uLH1r6wQ3NhUEyMy27/hRplkZnOgFRVxJaoArzTyF4Wd+yO/LyWhxEtV
ymVQnV9U1qsqlfF0nDLdCn3+2+zA1UIbRk/g/uxTDiphLe1ycZ10mOuEJlt5IT2qAmDs9abYdT08
lyDCJPwe/cC63JoGPmfHgsEBklVlVZ84/Nfu0DDbS7Yv5wYU+Nq3OF8pgS4FNbH3zh+3h4g/iFsk
mswzb7eoemN3DbEDW/JnqucnafJZILXMsmQAp/boRUG2c17hCNYtVDtueAwmerdbnhnQaGybLq9P
88Mmf9z+PrPJZYEwjcb6YVjvuDr0xYlIhJncDHu/aZAobYrQI14CPPxnxJ5xf7zgdCvQluo0Lqp0
f13O8wj0ATky8TnnYOf0aDFxPt+5O376m1pDnC6hq44WgbC/zirsebQlPnyf8uIpNoR64Moqgnuj
4hU+sotUZoqnaFK/nQPcgtsdN0mlWGMC7v31/WT39P7KRtCay4P0/A3zwmcv1kQEdqUoOaiMoqW4
bllPXnwXh0VxhsSj4zGYjKMKJparhO0hoKYIypvJgVVIdznWC8gNy+8IF4yKeVy8s9cImJwIOjOO
ySiNOD7UFV3dZJKW8IFsF3EQiFDtAYHtjcDdcCTVbBLMY/gNHLb8IxIof6AggkvATj/Fws79vuLs
lQiu6Ou3EjTOf4KKrgXZXztS4mBhSwXQmPC03QQX0JlRH2gLdCmtF1g7j4Sz49civmdgcbVGOHKI
KdaAH+os499Vvpgw1KOpnCsvfD4l54SW40jmAqGMlwTZWAE0QZXzJFTlzjwT3xqmR18mhDLwvudm
FTkukPLioVBLhEjvXEFB+lviW7GpD7AGCPb+rtDdsGAcLPxhTqJHzdJRDf963kaMyFY5ou6LDBJO
ls8OanivMJwjHZZ93BtgyDdaVBnjYNWI2zaAgD+hVYqIfVTz6w/5t30W0+4eH5auQYaMWsh6wJQ1
UocD2oYMR1KaWD/9cCl+D1YdaLHhO7+D/4jomYYF1ZmWvB0pMz24someasInzGipMXk9OS4r16BQ
fcGzY6X/0QiGbkSEmiCx2whuX5WeEPMcB8UZw7mw/tfM+Ig46QAQS75ZpRsdCoYVhvaaRFDoamgO
thzQq5bibv+Qadj1tXeDS4pO6dkJcpu0wNdXZFfFKiTMXtMoWKWusby6Kfy2Q+9ngnGklURovd46
wNyFPoeRCUECuGyisjbK3jb6N0LkR+JAns4ULLEYtGSu6/SkQRx+/F5vhh3cP3jB5f/OcAzKaDQ0
c2mnvDqjnrIF2o71myfg0bgqFo26Teys81fy2/wEN+iWUNk1FE+veG2u62VtFrwhRCQWTl6qPW/e
hvTOEvNdBHwiUgYgKwslIuYdOkzBylqC/2WUOzRHOxMH1tWTvW1mZ3BU4PjEsh/mJ6xhz8V8odTs
FN7w6bqo1IaMAxCIB9ln0nl09faE3Qff8BHCaHV78gdWVsja0m3ISQQl7pkY3ZYnA4i03e7idFjU
F0ZiX4ZnURANrFD3Li+hEMU98YYPxzfq27iURpId42kQxE7FSuFLpeTBfsEDomUMXvCJebNiRFkC
MthSwAQWuXdFrjEGE5mkQjmALKPuIsltB3KfEFSfMtU4eYFhMaoql0JjiqBYxjS6tSfqtT6Lc0ed
3TGAJyeNtVl3aG3W+D97XGxvCbq/ZJHjMFPXAy4KG2vY39OcSMyjuKd1DlhMccpo6nWw3sOPr9OI
6sTnSKZ1sm3+WiDJ/YkKAYIs6LLTyzo14AgD1TujTCuwxizhAvZ8n5jdHAdpcbDJAMaaGPACyC68
dtRfPrq/W4psXIqyhs4eAJC9S8sMGxwXriW8iFU8fWAWCLh4kHUqKW3rNYm1gCxSztrIyURYzDIG
ijq5uKjXHiRN5YKmga/iUmjFw2ddgwd6zKFjYikCm6pelpnnno6GxrCK7o14CMPh4fRq1RYnrTv4
z/6tZf3Y1ajn9TZ9EWzuUv0pPKJYD3oObx+aAZUOhCm2k3cnEjzd6QYVbmkJ0oBJzp6oDGySBWMh
fWTjqb0KfmAB1GZMj3hQEU5hD1fYRpp1ma/IpAiyVcKgWVnkK+4Qbw0+Gw/YOKvPe39hXCbWl9Ec
DkQ0Q380WEcnObPxhm3wLfO911l7hXWkD0vj8kdNi2cqsjwZ8hgN8u7isAAvR4HSCXYpAV5xGUCo
8JAQhqITyCUfEbBrbb+bt9K2g1gq1YQsF4HQRcRZ85eBmAkXU5Ch1+OHjF7zTadBGV2Tl1s/CapU
3mJV7enomdLLzuKE9jyVfnOqGc3RpOmLyROf+vnH+JMttuEY40TysZT2mV4+L8iM9DgHgEn04gmy
ZsJhZds0RtgTVmwLpmCtwD7APdvR2tnyvdu7eGApiBO1DHwexRqZ04QPRHLoVY3SjYofvMn7+Jsp
7fbSdy1DIB5H6Y93Tti7Yf5wVEF6JSSGOvJ8elwWCHFarLjwRuS/XDuzkOCBdT4FVyOxfa3Ud8Vg
AKTACTRtX7LyG5JFxc+ssj/r1n+XTfv5CFQWKCVyHTRoVkDsbVXYQwx4G/vVqt82gkmUh1/48uFr
9BsGC6BG/lH9VH+KGGPKLo8SoMy7MgyadNbepdr7KZNSRcyiOnjpold7+MlKBnoSH8+TyX6ObeYw
7WjOryzDoazQ8UhIoGVILqwu9CIn6b6ASzyskXoDqLsCZXkeZ0IDVREAfdc0BR1HwjPk1J5YXFjG
KCO8x7qG4Yyacf296yqcChuqBgfPFmihdGbRrYqzF2L4wElSAzjE28/gC0/XSGNmqhgwxfwaSclu
ZxgV1RFmjQs8Bzyns2Lxe3VuvsAMBbVg4a3Q/zLDI24TO+4vsTie85LL8Lg7uWMSg+G/jrUe7pkG
REBlN7abcAyLBMK2rV4unKwHLheyLd5Ox8sqVLH6mIDpKmITafq5GNKCJVXMz7mx/uqlLYGAdo4h
fmAoAqO4VdGqz9mil3GXiYRpDbF5l20MwdJrelleAxMSdeydSywgmWEP0FogCF8/tj7qeYyAjkUN
P35erbzPbAXFrZ+uFeyqC2wZLc36TFeT5hgBd+1Ntb0BQFqvFZTm0ZOl/MnvAf9vsMESR+dGjDfY
AX3irSiADbMxetDCpw8MOEDAMwZJkxdf0uqdTcbAFqKKy2P+7uZPkUV8LPaUVuaSF/V3i2OLjja2
vVPgyhMoambUok5oB7KhnqTzA9lImLNkM8+gVXzKjZ0NlNz8HdSriTx98mskUdLdI5O5IpUNdP4C
Pd8OTIszJ3imQZo2VnDoy5wmuVUCZU+4vPVfeFEbHmK+oRnwrdK6hLAzncMIn1Nj2wC6uyFrMidq
gB6kqSuHEdbi9DmjeHE/EZC36TR6zM6TI6Bw+nDoSWal7V8vciUO39IhB5RBX0VASCBnykvv8v8g
Ybzg0rc9xMTanD2Fr8u7vcNfZrbfe+OrN0QV2dMAmKmG9IP6TaBv6yPmWbzE/Z1BDFmP9nMF8YYH
S21bOzVLwHm0zqtqShahsK8hmwlhd4bttNqtcNebM6j0FPQUpcSlPdxIBWPNMPC2qvkI36kDcjKw
XzmEZnLWS//s8eItzeTbJf2isw2eaAyfWE5e5t8v0mXgEvBJ2h2A4LBpCwX7WJwZBqMsGQweRRgj
DdY4IADJoFMJlIX+EyMIGR9jY3EINQR7TXlfZmzPdAcVpAxtmMkcO4QRdZJ9lNoYE8ydTtGIGDrz
HIpnsmAdbIbNQDijwXxSZBD4fP6gy7ioBJFRt5Q2e+1KNPjuWi3jvUAxubPPx3XTcOGyAHl47jnj
no3bCyVQ29Z5bod/POKVjC9iV3P6xP1CkD2b5FS79wLV+Bmy23+1wcIDdl2Q8G97aJUOx3T3xzjJ
BaDxMlnWrvyPykSF8lBKZ+QWboR6vKgywoHxgkEri9pJFSAWdBWlPEHI4vGhEyi6NF4N/iEUeLQt
Pys4MMxImrhsyUCuLh5o5prS1fm8uowN6ROsab/U3JlHSk89LrGgCJYPA/O4Rx4OECddGX88kBJf
HKa/8LUQ+HbMYWP4TixmERliUPzagVhpK/RR9UtgCqCrlqEy1bMWjrvYehlTFXYeKir78nSpC1sU
m0q0TDZdVnwVEOpWv1q6Kp8GzBsBgTwq2Z9UvGn0or3XgvCFXFIGh+vl2OSsGR8vySjORDsCkb04
FwY9H5FG0V0eeshEEHQD6D7/RpS20CvIFpF3g+1npk/2V/vD+kLJkeUT3nj2sF60EUR2ArqyB5L7
W4X4EH40IP4tQBFc6jfRcBjrjh4JI44ehr6+Hy2XoPrVWfaOn6ZVLC/ODP/iWaPN0LaeM/z0NVhK
L5I+bfTNNrQqZ52dXdGD2T11RYts7P9q7HPwAQdFUtOxE3iDiFJvjwmJhM/pVM04KDZ1FlDvxgPc
YzIqbVFscziPqN7Weg7WLhKi6uQ7l4IFUC3Rz6v2tEaw1KB2NSn9Ud8P4qC/5RdyxYWlU8AbkEea
b4ukyGaaNKCEUoUtMFSwxugFjPZv9NBOLNc0fIKnEv+o5pCQ4N1/GMwUPeMdG06wQ+NVxMC5LgrQ
/aJWoDMwd8hk8eBLDWwo7P4nKfdIHlWEpbzxQwmmTEjgih3qd76dGt1wAS+5csu7xiegLAaD+NXa
8qrBd5fXFyEhc5xkX0JmhFP6F9+UAkP5iuA249iQsAOl/9T56SHqnd+7beyTimmizzLbLu8eSfyN
expMuL3FApcjAe8pH6jM0pc8805ao/6HB82btr+68QTFdJPrPLBeG2C9hsVaAdJtcBcUKt4T9cW2
BjQCKm0cabHNeaIQCC29kIKJH0NpUvv1C0egO1n8Dh6xFPvg86CmQbTsjiNp4Q5NR9xWeaJqvy+B
hE/iVK9nv24m99PZvWVoVGPHJzf+Gkak+m4ppIRrwJ4a6UQ9peG2CcjzdssaEVP+7OnjnY+73Ynp
RVg+wT5L5NTVs/7Lu81K7sD9KUQojm9XwNA0bxtU0cL65CIxqk3EMjL69Zvj6NBaE+5LhNsLz5Eo
0gWbea4zT5aZBMqiavEL2uLlB0/1wOkpQiRI9UuBhm/srfTitQxA9s5HrZSaOPgLED9/CwW0fMa5
YVi8BtkIQqELEQ3HjJHdYKhAn1a/YlhoOGgzoij/F8kn1bwijHo2Hq2gSa2Ia6pqlv4KF1uL52Rb
DD0Xxsl3XvBQGuOvTaJ6oyGqGm1pIWWdUEwpdgyAevH7+G2Tcap+2pAZbzdLmbXPeV2yFvJsuNqx
kgSAHtiliR6PA/sGmZ5E5VUzKwlNTWj8gmhA1MQNGHOlfZ1RiftL6WJ20NvHXCNBekP8cm/DIkq0
B15iA3FSNuLLutHjKNsgk3O3RQd0/zheHJCYbF4M0aBL+B+L8Ov0ME/BVMDQjwGCcLM/+f72o99/
ksGjO/jPyXy6F9kP3d/tEnaY2euzd6myFi0TmNfXn8c4hy4L43UZd5ksvIs3K+6EXcOmvEIxaBTs
lDnRqAIOVmOxleXhyTwJB+Fo2KTYCFKTC1QmWPQ1bVAvbHxzWBz8reF9cvYVOh0LvwPNT8zVd6mb
N+pEKItQhMAuzKsBrOXN4ISc9rW52W/7t//sqeRwCP8NNrRG/0D5j1KXPgjSu4tfrYleyAR+IK5s
wkoXyYZi6p7hKGlMVYxUNMu44GGRl0HILK86jOPu97n3QueobJMjNwVGfv+dNE0gxkxXeNI5294L
oh2aTTfkmwfgXGRkrySSByi3K6BBAu12MOQJDsJaJxoOILp27+LdHLxc2tRua1pwGvvv0N9RJ+1t
LdWxAcHQmScgsHYAzPFnzUra4WRLdlTOy7F8cigoQcvXNB4XOmoIvJEg/WAuUl8HDeLtc+3sVPtg
NEEfjMNvn/7HWozL70KCTtLdg2wekTEkrHE8UqaFXENZ/Mw36TnZ185s/LeWOkzeLKBwUDLPKV2p
AtveaShn5iCZG4wCMAOdzcw16bl9wEolRVBtEg4zyxNMXWJEsEG5VTvdrsxeg54HlYPWIt7Gcvj5
fexu+haVwMtDN/sCYhE/LqrtdMdd79g8Ntk/QpJ/EzC3cpJZZ9uV0md4yWJLIBU09v9fmD8BcSnE
C9K/cC/tWHfSC8SyNxk/RN9uaLiMsG9wxwxEJBhZ/DnC6YozFb/dWVLguyYK151RCBKkg9CSFsl6
d/sc2BzdLTungXquC16L/9pPFs1Y2SSAxSeiNuBekAC86FxO6ArO/XNnzguNqbZNaFioyXwh4g0y
ZDJVxWvunicEgX9Yi0InVWYya7tDToRJxyr3KQHW4frGhTZFLuxjBO1J9AETjYNBEPR30TbxkkFz
8vR2N4DRwHj1zjgE/fi76GeoAtS47rzh0SI7x4n36EHre1rB/cOiDdq1ysUJ5WEYgDByxOT/qEGF
8dkXrT2NeWGED32AG54B+n6g8AOHE9x+56862C0eN79U0nA16HlQgNoWa1bE2IdWmXEGBl4Bv9ml
KDdK7EkLJur9HAqDe2fzh4IFz6ZNT0S6e18fh2S9vOKA7DV9a3DIdsLk22RLFI9N1G+6xnpXTgWX
4BbsuKFgaH/VEpxkoyaqp3EkIeBvIm+CQH5dxDJlOo84m40+Ewd001KnyTI6erswYIK9LrnOaazV
2kgNs0ETDkvgByXzpqWokwshYdo4+MqewLm0ocT1xCVDg2j5gkE+EJJrjGi/3ryeiKnZmsazgckL
5s6iGmxaI5GBYdnGi8r3Fohr3mczMa46HI7+Qa/N+JlzDbq+gzbexIZ59BujEQlUkVWGKzF7cZaQ
ekEtEnFm2xFZJJ9nkgkM/1mPddFRzTBcaixbOslsjZW1Q5wc7PBTJrklSSn4oOwOM7Ti72rPkfs5
eRaNdWFXlLGxxEO3ar1JDSmAOC71YQj9YJ8iLWk+cTwEIYzhuU52LjUrm6+AXnwa4EOS5YdlRLG2
5SLWRElpm4K0I1gKFMtD11qGqf223cJkOoUjjwEwknG19PWBB6q1jSvgMHsEre6cgLPyDJUMZsNZ
9NHaG4RAaroPX+IiZ1MOUVCi6mMPtgRW5ql5FsLk5aFanFZzHq7bb7yCK4GVWW3P8ofidQTGaUpY
1GV5wAr4wnqV77HrK9PnqE+rfnQt2TlLKg+aVQ1tEpKk4IwQrMD/AlcE8tyY8dmeYNJ4Mse/fn7K
eVHqTk52ZGA5dvfx8KL2hJ3OTkV2UW78ooTsf57O68v2MeGbz7prfjn6al/uLDNN01eTMC7FVosc
RQUeLDGfXvTmJLY+WyfV5Ts69hTLsZGy6d5tDBr5EjczcmXG5fbSGYk58kh1+mag7SfG3nBFXAOC
yi4Iu733apwP9Mj/3WzRMpbmlRH8UmX8iO5osTnDUqhrH0SCiy2aoL3qD7AawdNhZAA2UNIXbtjR
4cDQ9+HJ1K2UGJ7fg+qr38TbFChCFhegoGD4JvQz0ZyB2Ez18qd3pXLzIG3oWPxRrRBINFiUBOty
chBNFxoqyH05lN6wLtBsgiTbmxb6TruvNob22b77LxMkF4bLc5kx6nADfVryjJAT3pgIU7xsRyDh
0aEGOJSueg8b0Vh1m8PBVH5gZsYbBU8qcARe8S9F2tQQgNV0V1kNS+SQhiHZAhEBa2GvM3lBVAcY
pxPho6JLU1tQVIu0KIgKA0hB7gU1RM4vckXhZubzXqKS0O+4TzxrNOMXlSyvCH3MdZD+kPJ246fN
nwu79reRsTVhl+YBERB3aoJZXOXe3xOSeiTqy6IiXlH0DnZMd7Lyt2T4KLUljotdWjdrbCPo9V0o
u4Cx0uTxK8jJygcADcAgj24PP6pr3rGQC3E6fFncClOVEQmJL3vCBIByzpD4mVCIz5v6uQDQ7SY7
JoVymcZKU/gWLFbKJ95ZEI4g4qBs78lj3Zq621Yo0iqYWFOu9gVlDKwobneaXw39w67/q6eyrRJQ
AJUpzvvnduiENdzCmhAwnO02l6xF/TLSST+DcGKPo6ubGsTq0zaHJZDkRDozlMC1H+Zz6aU6TrcB
vNniFqiNf7AK1q2KBRqwhRQ2E2hAuK9P0eApRpzAQVGLOrQo0iHQ3jh28k3WNCH8yGcjCI0t6RwD
Gloha6qDCcq2X33+bMC9WVGyC9LG4OMtPREb7JYOg+8y//+juv3X2Uq1vu3dZaiSz67XgQB/dHcj
WkkEJOCvvzzBLjybuJbSzRWfFshaRNv7atz58RgMDHMd75tg3Yn0ooUPUG0umVQ8aOtqdJopNT7E
hdTvQhy1DdKLeTqSPW5KMZboZyTAXDsPX2K/so7L+XNYnsdaZloLEF+zqHnf8c637qGp7IOc/x08
5YSxBpDvzjS7q45MrTrQlowDytxMQU9Q/0n4G+Av90sfu1mf6Pj3CwOmcm7VyWF6i3LyhYOMk3xP
abtR3bZKFCjevDU9GZ/ii6RZBCvj1uIqPl51ZUvHgIAFF61mUozZhALwvhH861EGmF7xnGZ6Secp
GkYh9aK6gKVGg+oqGVhgdDtebEWSOLkinwVycbCe2GkV3qDFa9/ksUCtSNgTbp9dlM/xelSIuNeD
SS9A/HpQFmUITwIAQGOgQPddWhsckmaXyh+B4HWoVeuLL4dfEjXHtZjU33lvonNc1rl9JFFpb80z
qdg84M7HiE1XgTV/xryPwl2rLB5W1+W1RxiUVwdoRoloyyEYNfGTCFlsvqNB0MdWqh+MeYBbdkHD
It4nDZTE7DUaY0f7cpd45JdvS5VZaqYRYV1u0bdtr3kEt1M1y5mltSnwk35s1sXvzBbsnp5lhDbB
B/miq4EBkm7/Y1UuRAs05o4dsKXrcxurN5U83Hy6pdRGdatdW5hRiwuD9Q47DV1LqJ/SGyC37EFH
249jiM03XXWqyDx0zlYFEs81v2ZLVzPFRRtUy6TKf2P/egTEQF2diXeu2xCbxu+P6/2933W/SyzV
W4pwxzr8SQzGAIy3AltuMCQC6kx3f/8KszjBTLpiuEQAVtxEwhlNobWlYrCGPPRxrDpKPD5pNlCH
+SKf8l4u6TXyUX5dSwJokEDcI6pPFQwDNyAyYKmTjr8Z2csNstDD04CUH/gr5EeNRHzjDDtTEnmU
Gp+r/CqZJipej5tZ+KstQnkfwOJ9hX/KxUBoBDK3Low5Ad+gnfGtSWcVvVSEnEvI0YJqnUlVFst7
7HQRB86oMHrjVghI8Lx662YJ9h/+y8LGQBPnOQtows6WId7jtbFyJcdtZgo/3S2DggUh0PIesoAw
9hep67X4Hf8ibxfJXNTDWW6YIdSpwGVD+3YHcd6TeIkepMnaTXtXTleddO2/sIjP1VcOPJkgHPNY
X1pb1CpPo69E17CWNdfcUmMsz6DTA6ze5rgud2ZTP05rqRmkvUG68DFVwz/jI92F9jK6S23jv0vu
7xqxrD4EeAE0IgCjZXJTm8WDlMy743MoAfApAcCQxZZgBd9VJj2bDfeIIRExNgM/sTuYh+UHPiW8
f8EIbPPan36nz7MOiImkwZP/7+Vx4Flap3/oJH3UndVYwugl7NAgpC23Ua6Fo8s+5T29IOVSgSGg
fR1mGw/I2c+8Zk7p+FF4aYMl0NRg5Vk4Whi2fy2GtQx9bUcKdHVy9pOQfp55uryHbvFww74UhUJL
iq7biyowQ/oKc8UFSmJ5whyijSce/YeNaY43AeddzGU7hDgVfAcO/d6B+6AD7KBR2Ley7BY1Ay47
hqt9p5enfqQPzGDQsDTsjKHABQVUxutc+cvCV/1mbEBfjAvLlahWHW1YFp8dEnb6XXaLNVBz9FLL
gW802//UCQam8YB9DLioYRgyJbdakn1sy9TQNee3uIomEe9iixohd9XHT8IOadd2bZTLJkluYtvH
Zw9pd8V/2HycrnC86S6ffThlp8hSrfYC3K/3VypVCvsTROwXH3z+yk2Ul4SatU+GIsx1sVGN33jE
btmjd8u1ZxWGw6o2rVpq4xQM5jp2g3ErLnnbYNBxj/0ON+3OJvzykrhimBs4qgTH93PhCwvGdeUj
7KWunoSFdOenDYnM6igjde8gVdETdtxfYBAKCFvAPCtRSvuXLAXuj3VAjZdJfbboJ9zTLz2ZT2NH
a37QXl2HTfqc9zBcGl9Z5xHBB5NhshBhkQZNNC5HmdwCg0Chqhkle3rGoKOOSTydF6TvFjvamXOI
WIPEg4bnPAzRReipoXR9S4SEd5ia6rCRNbzvq94LsSJIO2dvZbKlP6IFEF1IHAApYtFdLb6V3DPo
nONLqeCeaL+PDuN9ZPh7YGbymI/nCYrPx5tcNsi0mGmHIfsK4/baY/l2yMlg82iGgo3+xd2LIs99
bdAzmBCGIAG3N7NYAzpxbwZWXBOtnmSzMMCfdY5p+OfhDj37roFRfoGwJX492nWOTH0JNPeueraC
TrqHtbbYtTaDf002yqhICYo9xRS0TbTNVheEnMw+Vez5JgXtrA3OIekhJj/QHwo2BETL3JYzkXY2
F2589d6b3SBCWI7pnVsLqLRyLPj2uoZFdF2I6iUhDeASxqLqjQPXA8atOcgowkmzFbFM/CR2ao24
hacOCgV24Jzq4QDU2tImpP+UrMckbkfJg8ewB0hQYae7mZ1zOnCFodbZiRQSEaw5FmjqvYa+OYXb
pCL189bWUZDpnyf3KXQTaNzCFZdZIYM5pUgBV5ehHjDzWgHJDxTcPib32c8Mow19oVpgxQydTK2L
3MbW4YBgCGYzcY2pQ6islHDJ3uOT3C9Cu1po5khjvFJFSKx+/gT2lxQ1oBP/1FUW874+Xcr6Nh4X
/KTx9ls9qkyzaIt3HBaTEO9Vn5cMrb2bOzDDerFwvUAfJa71we+yQaxUi7pIGSMiJT7SjVaw5JI+
Z8AglvsZDypvIsjXgbIgqXDfbcF64jpj5f+umTTlWYrLg1WJ5WuZvHqwVuXV/HVZAbmPVqYd2DhQ
DPcA6C8elV5GhuXjdQOUeeY/ZM1Qmj6/F1LCk4fEz+VHSkpUKWeWjwVYESHrPM+x1HwUAGoFeE7z
VK3L5aNjFPyM+fTvrw+D8U4KvWPfNbpTn3HuNw5R98/N7vtLvrLhMHvF55R++EF2fu4FY9OatDEX
0nUuP4h7Ys5AqM/DZfxuNl1XqhklMYUbV7KeGHBuLqNFSWiD4n4DwEdBGj7UAmJq7jvTEzdUu+Qo
H8++lnTWgTmj1TY/yVU+K24QDBBAZgaswpOVJnQN5qcL/4tMHNKS2HIxyz8z76gtu20o0Rq6YMe0
EJfL+z9mwxCpJZOzKLwBNPAkuiF1LrieHpMPeQduyLDr64DohWaurJ60PYaJAnHe1xFyurPWxJgK
FxGToBQsSdIqqZLM6NC9WWBN8zCFYW6XUkEPn3dUOrXC9w4b99yoUsvyyy4FPoBpiHwsiAdDgwXo
heMUijlfJ4Oa6wEOCaQ1dQDLBzvfjTuS/dK/+DTG22rtkLr2i1iBI1vYImeTTX5xmVhGr3Ds0Ucr
NacgTYb2rHDzdknDPVtD6lTSK5b2P5LLB9jQoiGiMTYkQPE4/eUFhwHKwv2I1E8BHIVR44C6igNP
2QRDyNX3VeKRSsypwcezFRazGx42q6DNMuNQA/Eo3fkiGemqsKofG0Uc3GNsk+yhUUgf8IidHyoL
WLipH+7oG80LZLrou7fLrI4OmUYASuuPdPhUeggDQ1GMBOdZbJHLg5MnR6iQev2G2JVWPX9yrWW2
aowEr8Y9++Kx8Zd0HbXGmcXyVdQObGmRAhbEguoiuGeVqfvKM9ebsIpHDpOuHkizNhtT0xsKXS3Y
5nMiH14o9OOFzpw3bbVqBDX/xXLZ7to5AeZnI6u/cko+MPHqxs5ZwyD8PVBZrDsonkKmq/9sBjeH
3ChHLx74/k/sphwuQXY8ULH/nVvwZWcXw72W6Xv0cu719Cf5AJM5kUpxaNJ3Pi+9d/I5VH9Ov6i+
fCBBUWwCVl+YUJUIAvOR3igyF3ovUtiHt0kaRA8EquSZ/WeUFBJDMd8VOHLNBDLgROa37pv1oqtN
evOUw5FaXLL07gHmcSffqk7XXdCNEnYWgRguqPt67R8xV4Z+kDzgi1SEky4J13UrUvjhTxhS/Y/u
NU4ipkpKgYmC5DivC0fWV3dQEy21BPjFcV04k5mpQ771d+WeecjvkWsAw93cR/kxertoez8JZ6Ee
QMIs1DtftM5fGVgQveBLBPxdZ4E9uD5cqiO0QqBCO2loxSAcd0jMuDVmufaAyEtYirwjwmK1qHpm
DHkwlrh8QCoP0DmapPYA+OrhM9HJjVLTcv5sZNUsaapMixfh/I+L09BKu9+sx0Ytq2zdEfW/qfE5
FWfvnwdXS85bMHffS1svJthREiF/U5UU75KdqkeXNlb6hedvpt2YRbyxL/nkuxW4B97exnc80kEl
ehyTFdywk5HG5n9SrpLlrjMXvQ3COYcgseOUom12YxZmbgKt6xo8WXLapTHXb1jMzTgr/zx71qkq
o5c/8Dld+GKJhLmwgfRer8jAzZVxpJs9Lh0aJQiVVdvxOrt+Y07ZiVE93NyLB/a/qZGf7ROcHiQJ
Tf3cj/zIGdnPQ//OqagsK/dEdlEo0p1qwCjIl+mROR1Hb5YWvSxzGA/d58EqoYZupTQvp4tYzenb
m+NrgQlpInUzxF/eBXIFgOwXIX2/oy4WfBtlFb3uXoIAfQQieEWP2AxQB+bsXbCvKTyC5CXrIguO
8S0EoAkf7VesxOBj1isPJIQr0d9upAyiQE1Ljws1hEHyrE9sOofYWx34vutBL3L/L2G2wCFpUvzn
v6+PucpE9smvnRuXXCDoo6tHn+boFIqvgh/LZYGRyGdisG5I+0oU5AzIDkZHbNcALllypwmjSZtA
lwwLQAnFj/MPu2vOvL+MoLhr30uvTZiqzluQxET+AGWOS/LetPdqcmwfa/R+dz3evjL5TSNv9vCg
Tyi3dI6hVakMTPGFj6ywSuAT4VejGzTJhZK24jET3fKEJm8EGKXvUMrDv3oE+AyIED99sBU9YC6L
xCpuNJqFU25SJu+DzAEiK1ONrvPXllxi95mMQ5WpEDpi7aTDV6eYQt1ioBNl4yEqPF6ST8lipeH3
qSqqvHADK0y4kR0eg0SWZ9l97eujKVHIG7O4sEuhqK3LbEJe8d/BUTyieJqvbjuVbt6FtsoeYlQn
mr1AvZC521g9THtLMDflV3zxEdbvFiFs9K2GqxzdRp1OjYEbUruQ/hrWd38E097hpdCWoq/Kbfun
oNKTqYfopRmrerbGll1NWYvH9u4cg7GVXYPpqldDgRYQVielWvLlBzJz89Nngkd/pLcsE0ihY+uF
jGH23P5V2JGNqP/Pa7MnLp935bU6tsmeQF6CwfUGQtTK5JVukwSOmUKweQQ1ovAqL3Z17+6in3PG
+9M0/Qrq8ym2qlpamzqDJ1sAEPaPez6yEKzt98chjhJDS7i33zdd8kU8w5JQpypXMZ3aPhctr3CP
+Vmpvs9FqjnsA5nV0LNs4YLTUeWnTwgjLQm9Sns33LGrNAa9Jqb/TjGBc9vUOdVpfo/CDVZKFujA
m8lEEFXQZSPrY86fP9HIECbqFNhV3C2wS4NsoQXwgBXGeVxPdxys16iAvQTO2JMQEoCkTLeay1V1
7PPM5uZHiLEzth4GaniglFiw1XCm+oX3m7XPQRz5ISajED2sHaUYpgTWlYs6rLrfyEmDPObegJP2
LHlip00KGW5ABRsqWZcNn7UnBgcsvTgsChkn64L1Oeggs3iaLMH4g5OhZUpkI3AyKRm9rD1mY7nv
5tTssvCDbuaK+Osn6iTCTJ4grQJdKOYmDfd6U4fB4rsXjeVKQ041ZdvPiuVb7dJzIK8IMYJkfv5O
yBhgY/mCUlJtO02Iedl5dE2at5plUXsXGJcl3dS3bhuON5PzdKJPzXwQ9AI673WVpWs0oPG/8B5o
VhX3VSg3DLNyOhBc02UsX59tfYjzvUYlbeVcISJfTqXnLsUZ0bBKU0RNqevuE2nFWl5BTKLyIxOA
pGG14GqwH4WhI9r1xuOi+bPNZGx1yxpQQPIMXRUuWwuiSDrurHyiQmqLwowj3mg62PY/pItp/mUI
WtWFPfukeCqfhP7OLArEnMQEhzdw05PIpD/bwDtLYihWus3spJRJir3HzmghKlRJBY1y44nGLyGl
AIekM/R1Asg6yQem4GdbceQkvVlwkcYNn40nFSluakDyxbQ3OJdcLI5KUe3LtJ3MsMp9YxIhPUMW
XYQc7ZnLJ54hddNo2DgM9rr0MdMznIcSnyX3iMKEwLnDmpwnwU6QawMTMKpaY+xlLgtSr2Xhz2v4
PRArXQUwlr7jj/z0nkhDf+WHe69/3UwK9gX+tSM1c9ktU6mwiUv+pCxQbO7qGpmaS/9fUcYE7Uqu
avJb6jqrPmPUjXCX7vl8htszdkJqG5h7AMPWeurTmzqqswPRiN/UGiS8pPReruhfDozgbMtM0dfp
Xclx+V5f7zrycaCeCLvljgCDgUNkYHUnKmWwgfp2YsZDStnMBd8rc9MYC+TOHToToKQQtz77h0AU
+flAW+oe1kEuhEo9HmK6vFgubCm0YQtQKDgLiyRczOpLHisFoGnpTOdRZFDD7p/ZDCjZyxY3m7um
poqcoHiVhRPbmZr24D9NK/6FQRYmjQYxDrEANVVPDhAW3vGFQ1SYUIfTIHcuWV53Tmh6EhAGCSlF
COaGQgr0Vs29V9qRHKv/dP+h+O7tKOOrfwwRij+h74x5CR9lY3x57zzXVlV+tdCefthAAIjUC39N
jNQ2/2tY9T3umM8XkFiE3d8NqZZyfry9uTIDeQb9mf5VfuPim1lKLrPwFxeSgfwx7Wf1PT9/YlLG
oPE0kJNnCl9NKGWqVbedyuzW8ct/6I1oKJIY5vsOF3ZEqompNyKs/PXfvqmviVGB11Vm/NXDWwSJ
ylCAcwNRkEGIvRGpkBd3TfO8Lfdv0ZahcL5pXgqWgTHebynYDhiZtWNR9YIVxARMsGPL+5UmpFd0
fYQee58CL9IYYrrUAzDlTsagQVHda68l41pbAFTdVa/sUkR+NhFPqU74zaKrs8YNk6JqEI5Wd7Kz
4CoTMtibc6nZQ9grx5ZbVyGZEsce/Pzp7cdE4rbVbLJ5EyCMbahIRwUpfLknsJYqhOa4qHJFx7g1
3TXqvs2n3lTJiFF2oqeIevxUAsglTtMAiih5RBYiX9aEKNeawZNy15f5hzARPpUatDLpEnHTbjWc
uCg5A6ISBryLyCwGQSMfahQint6ySfmoHm/fygTHZ6b4n6uLrf8wL/Y6PRVKXFKUwnxE1YnH+CE5
WwUpPJ0kkmwEQCg8b9iYE79vFAi36uGnShiosXldQWTrnxSwQQnaeQ8ux9EgDYgsLu+301fc2Gvw
+bfUsHepILk3wjPAJTaX/UF/Czm7h1vgMlFDEji7zY0YJ8O5gvAIb3uS65G9A2Zn1vpcTeY/Bukv
DG3zGCCL9mjcLdDhkf5yfdj4CEStHCX5Ui+EE2OHG34q9wMeSsh/zSie4oL3OT6ZByK11CCbDHk/
mqp/8twcatDf+UVY7Yj3Z2jhXuS2hPM9JlmQyT3ERKy405uzSA72OXEaZwOxzQzaPmlwlAQlEIIx
HsMY/x7FcX680uMQJhVqX2RuBQheewmwLpBp4CK1p+F4HlZamTmlrWxdbIX4Fp7KVbK27fajdh6f
Kv7CDYFV2Lq0TQwmToal6z88S8jFI8SAWVfBDG2wdgicb8R7/2OGxOJ5c4gzddfjWFWaLGpXuiOY
BA9tJ4q6a8px8xhgR9uoR8GP6+VacvxPtMC/gVcoLcQh9/ElLqsKKdknGmukWOltCzrTrUCxRoc8
G7dV6+gKYIizwglsuIjHvWCBbd1QMFPDMtCu7eR8NWng7qrQGCSB8de8PyCCU9jAUVO3ALawknBG
PzHyAnsfl+5S4Vz7jTU5OdbQ2FAXpZpuDfy0jNUZQw3rAGa1/wFzIAtmDSKlw86aMDYPVQbCrJ30
el/vX43YvLPQeRr1Q9I+PNA9yvezXR2Pn6KbS+zpdt53IoUkrRI090I12vQO0NvO0RimVIz8R8yB
Hh0P17o430CltSrqZ35U+XIf2wV5lw/rtxtIMj22/x/NFdK37iV7fT+ION7AsqxLMy8IW/yJVSh+
XjEtk1oFN2oLxjtHuaSLMn4nLnVaA2U9hRaBjW9bpcVwfxm2Q/vYLTSsq2CbGLSFkeWZPLCAxamI
9olZcIA5x2smBgZ68DsJzTCd/InP1QybnsCutoplv59wlRyA226Dh5M05PaORHRxwT4wquXrWXuB
Tq7ujMDDTTB6iZ3cR6dfhugPFi3DsgpPLP7IZ6QHbqSo44kXf4hmh+v/90XSGc+l9gO84RoxLcBU
RiSQExxdD/fVejEQTjJUvL0eQs8Ei2Ds1uOnV13mB6yxHt5/y1YGArdC3Wj9StKzRGRQ9jY64y5y
kTAE9oll2GxPuMqcDaeyydGpNQZy8U8hYpom033t/Q+Vr8MV9kvi0gMTauAcwRA8z58lm7oTVsQQ
ZkXq2WdN58JUWFbKXlkKLoji5jdvORf3dFc6y8ppZJt3gA1CPcOmFmQxi70Oe6Ab9t+LF7THhG9L
cRSxBPPAUWzNtAZRufS9hIqAA8vYSR+nCOgmg5+fFTtP7DTHQZH6srx5dIpkIwLHxD3xcWNJq7n2
u5zIy5JdksNE+Cajz32WjgrXJkPq8A9kTOsKcb3KEeVOXrwT2sGFJxItNU2KgJDhs9w8TG+yGiQc
lsoNfcCle6gU6FfvXJfT1TFteaJ9Dm5oX/h0711xCOO2Hte2cKW2RxpR0z1xD5bWUax3GBc1TiQc
iyXtkxTabbV4E1L9yQAxKsZpU0GCyaoDC8zvrpvbqwPTKfBC4qGBQlU+K23SiLNV8rpgy9qbHOXg
5QT2DDipbQPOGSVU/12EOL9mNUQf6EJfFE6nyk8w99FHLc/enSQDDjnD/ogB+AlcJULAXcjqcWYj
L1hAn+JP/ZCZTzx3kL75BesAPbvpZ3PDrKOJNdAZmrnoM5fnlUs9Pb2iVTJwL04bmuyc8in0w8rT
ep0mDlpzeVpD6MxGQCS+ULhbusyKvM5BJ8ygLuEPaN1JIpERge7Ttr9ZioXem3oSGzvLhBQ9YAB8
LB3ToOhhWRTugY0kQzu1lirjtH+jzQ9QSs4+pffCNPE2YTQUtBfekJfgBVQS/lwgxvTQ+MnbUTPp
ZJjc8MQQGRCALZ811nfoyf22bZ7b67azU+55rI2JmTdZeGMo8ngdWefm8LXIu+3b3KA4UYet3F5m
v1Z+1Eo4g/Lovy8+XZCXJ+JXV34qwP6DD1/UGOUJw4YYpGAo8pDxOjDX4V7KucTDgHqNo9WrkO69
gs88v/kFproAnLNo2ubm1bwghYxDdxQKsxGE+fdlifbXrJWKEH18whd5FKhcG/7tQDBUdrkNbkXR
fIj9PqU5hGhKdCRkj460HBTm4B05YqjFxX3MhhJ9dErTzBHzNGgoXV0QScXIGfMR6hCWcwcQzc07
xByMkvNXaxKGlbdrHU4TGdkfNBa9///txPZUyGbZLtBftZ9WX2T2JiYDRjRrNyDxxmQ64RmoCMgw
QOFjVIQ7SMrp0LritV3vprE7f5VUpmkjrQ/A1DlyewSr2Y7Ko7+29dplebNQrp6OWuxrpmS7dy75
9afzr+BddFXhYmBixE0vcdugkVj5C3srUbeeiYIngHiMF4j67UdBuBRnvE5KwuQclFbw2D2CIHgN
JYOpp0fFEJvCHxxdhFtldbnOpnfeSAumnWK8w6HtM1NoLmiBxJdgst27klndadE3yYW85A8bYmZo
5awZDc2xCTkOYye1SQ5F0JBq02yZ7pf/0tWNiwEnQ//H+M/71jilW/aKPbCo8Ufk3V7FRIRreNSx
smcshRUip/9PxNpZH8xwGrNt+4MhGr2YNDFcvImonGYFT9Z4IzPvPdf1Fb8LUCzfqP6a8BLAsK6j
EFrl7RuWancDPI03vtFhnHfpR44igMkW9cOrf47bKvmCU9iTJogwzA9Lkn+eAdJsbW8Tq2M3N0Nc
sR6JKcCIG+t+UhF8aknsZ4C4GYUMYCaqkh/mMW0zkGO2utFqtKBGdKIC9ctDomvQn8I4RNdD8wWV
DVTyVaSYnIaJkmEtINv/yNkA+JP1OjnDdRsm+fuutXITXop5YfDbqdkuSWbicwHngyxereppNddp
QCBEjxpbjW9Rd2Px9cXLh/0OcR7Mszw+VzOSZzP1DB07/9aXWzcYusof46uFgnAjt8g6UhngFRq/
Qj535tDW6EEAlWsoW3gtp6+zLWqSOAy2lPf9csqvLRlSYVlVNQzdI7fWtEjE51IinjRmCaQHqrdk
TFJFUz7q2SoHYPYb3v7MLJOdmJ8AVVcNSHIm9M763LdX/63ADkI2IYVwPF7+jfACL76jPqeB3smE
mgAv0uEdPHYeFkmS9gQC84vUYewoxQy6hsRLGPVnDR4IiyNtNxwtY5+doomVutjl1TUn3L+YHVeN
n34niX7+ihBXUXVnttIGZk3MOVPpxEPgr29rolvWJ+lIeYb6ShSQQbuvGrkSyG6hnBJmKl8GCrCx
h1CKXqsEKXOqJ4v3t+hrOLUKa3V/fd458QM6otCcYihEDmkBtKFeRHcNcbvxPiMIbNRKYeZapXsz
0/j03y7jiqMCWjCgMO/keB2HLIdw16ie+wTu1M06ABX7gZQH3OxQhsi8hqT9raNK9lPAEt2UuI9z
y7gyqzbQmH4cGU9aeqwXQ8+LUXmge6Jt9oJ+xvm2eezbU9q/G4FXZMP31iMRo9iue71C1EjS6+VZ
aBEdi0sGPjBGSEy/JAb62diyvnlieIKLga9EIXio1hYNkLoQToNgl5VAJPwnkanXCogC8G06obwV
YWcudtVB6SH4G9DXjUp3beOEE4Ziwg6AjV/+R/cWNjfeoCSpipu64i8gupePPdsykp/X+w+OFHI4
fIDwlLrhAs+9YPVh381LobSD7dRSR8+64Hhid4zEHykb1t7F67FSX2PmVk4XY/CIEUnA2bVGn8Il
MbjBWokGrmtM5A/xvbHxPnruvEoOXFtumSaoBNiDZCS+JSFqIoxN3Xpmf4wuye5BSmdwWBo/6mVj
D1UE+wt4jBmiZaR4PH0UbfvXirZd1XXxJzzWndFLEpzk91HUXw14bBcaO+pGDTiAVhPFHPIbEMp7
nExmpGc7pgc+d8Or0PRztoA6XKPH6XwNoJUJYzwF0GHcPog1RuYinWKqDknjBGlxibY0MBuRM4sy
YjwILomZU0eI4L+GSuKGgXOckxlo2hgxouLMzJG7FuAua4Ou7t7guvxcUOpIsy609aNzPp7LrlLh
TStUm6PNh33jYTrC0Ebo9uzMbAoM8uEAD0wgU1sbj4GDzspvBuJtDvPPaHL7pQ/f3TTE3bDZsX8w
LjLQTqbR0uXr6i/4FLgn5mlqKWd2G/9QfvNgZJv319DTsq26q7OP9sYaOu1qbd0ebQPwLh3HW03P
XXCxQcO2RxYxqMUvICDP1/shifXDCYBgk/YIyjRF3GxqymiJt4JKP1ZIKFl8laBRQ83DtxWYqzzB
pwIMXR/OnZoqgsaUriR/mYuCOb8eoFhUEsSCnWu/+dNpvYforYBj/PmlQXbEn3T0jUlxOhnTcOnG
CRNVfFIADy2pep93hDE3LNB/lcO3Aq+kZiZ/PstPLLbkNpl3m8c+1CqJmDg4V2s4Ojf60n3tbhID
zhTnomXPTzDPZFR3437BMfC7P16u/DiNNdW4W1q7BCSk21+zCxOCE5lclqFuBDqLzskeDsGIn09n
02VuVWV3aXhfdZnsfya2/tsg8vELjoW7TDFvpB+rlDgTgk3lV/F5GlM7eSjJCgojbfQmrrJzDM4F
IxpNQ9FAV+nBurVCAW7YXGTx7riGTUMwinRW8UFJGHh58RO63H3+XngXcd0kF8J+0yJR8JT7+do1
QcLbIrpY2cjrfnfBycTWd2kW/eg7ZSF+hoRQOH2weQPqn6yGXrIDqHa3rMFH3cA/TOkd9URtRy4/
b2ZonzhOV4rSRmi91aVV0YIQicyawCUDdg8D954flIN4AgT0zCYtBo9DWUsFEUH3aDu413R0K/K/
MvB980WnqNo2P/lmqgo4Oi9QTWZkatpgkL63FnAZKfpha3vAVvQCliVn+Ih+weYTitMn4S2tYMs8
NyBKoQ5abafVThQ1H5MfIALk8PBumfqW5znRL49BnDj+4aNFe5AuoDFVvHagIYPhkz3Smn28iG8o
3v0UOLFPczt3fs2I8qsX6+6cXjvCkKdoVOPWXd4dUOaxIFA/rV4p6HooBodXKtwgXjgwL0lDi+hY
Cujpsy/2O589EWH5lT9Un8yMRRDJoB92X0dg27ugeeUINEN30hYAyoF3PpPOKDap/NKKt3sXvb+E
oRaEI5TRqM7QbwGkXKkJLJkeI/Fd9Ii7zips6hOO75uglX50DHHOmQKGPrLGjRhJQ9SC/G6yEl/C
t/aacoiSmU7f4qUynETRN+ywHDkF/n9mZJfts9kCVMZiyQboiPCXADNKUKUkh/aaPXjavlX5F8wz
A4Fqh03dJML5GA8WYcv/ipJ3+WyC8XvYSXOugWKfn0KPrkhma6CbE4ffz9+Jxx5UwghAGC4GqyG1
O/es70FhUAl00tw5ITc91W2nbYHyq1MMQz9EbvAxYpfJV9Oy4MSkEjkffUhX
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`protect key_keyowner = "Cadence Design Systems.", key_keyname = "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
dC9ujZ2E0hXv0iNBa7f7rOGh0hi0qDX7cT6h/vnR4HQcBW/vYYsWcfuNK4sQjQ8CdlxA/mvNnwVd
UYM/mrbzJw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname = "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
OvkGEBO2JMmXVTGGIMMEv4Y5AjQB5vQIONVj7UfT1nlQg8G6bw9MXD0txkmQUyK5CCN+L8lMErld
ESWAd+vN0i7AO0xQam94i/OigTSQSTfR3PU+Cz1Lxs6nLrF2VfWT9+ROufUlJ8OIxdnPkZ9d+hsr
KLu8wV5bowXP37myh8s=
`protect key_keyowner = "Synopsys", key_keyname = "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
l3euNltsg/hIjEeAr/5X+HsMVWqkQrvmDw2JmSJEkhgkne+rEXQcAPIlnuBGKOE+JbSU51egyF0M
cxxlY99Z1/eSt37braURJm9w2/PM4u7p4qR0AaJ97pnJSdcQ+gf4wlM6AjoXB5Asrlz7E/6A5spy
N+PiiiSCvyBszZJTbpI=
`protect key_keyowner = "Aldec", key_keyname = "ALDEC15_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
BDyqPyDgPQYGhocyas7N5t/CdFBv1150aQw5k3NPvEvyJSwIaXHy1ifKK6ux4FA6Qe9DYBoEwc12
eH4YLK1h+oiuxMtRFIxf+Lox3dUP1YxpO9j1ozgUMXNK3gDha6VtNudzU5MYypm9wXggDlg3HVbo
ZhCpBHbcIYEFYl6Cl+2nb0exNweF9+TuSm9mkacN/4K7u7lY7gAGqqoxMkwNB+uI/9vdYkCEr/vX
YxVn4XpuuXMsqA9LMYCTFYL4IyuLcCo/R6EB7HbBxJ4BJx/CqzyIlGRGJ9THVO0Iuat5Jo2g4yk8
QBR/qqUO+X6lgX4Ul3YTlPxXgNGni5ZUNFK+iA==
`protect key_keyowner = "ATRENTA", key_keyname = "ATR-SG-2015-RSA-3", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
fjDAeDatmJx23uW8yBlA202w/Vvvv95pZYRnEREEJGOP/5IBOO37M0MLS2Ck3cBWPPHU2Z+SdBa9
j8mZ2Vd0heOudl5pTTljUzVw29QoUEJHzeihTtuG5+Hd1PaJcSFEpcenZziZG+DkkuENmF1kd98l
0p8p8Bl4n4wL53n8Oinpeg8nXvtMpXkMtrMeGkkmxSTf9DlxbRi4M9FMkgEhZngkUwblg0wTUE6P
cQfX9U7GB6Sna9qiahQlU8bkhptu7gt1AUuP7Mh/0Tf1rm6LVTdPQo0jv6XCPuyZMNC0zLVihjL8
RAC852kJDpTQ9rDgo2TZojv9U/vVOtlYeNcKhw==
`protect key_keyowner = "Xilinx", key_keyname = "xilinx_2016_05", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
Y7/YZKbn+/cgRhGnQA8jkGeaCv9w3i658O9sUpHaypF/4uYCybvKI0rQTwY+mCWn6F5E7+HrYsEu
07T5PT7hagPT6U0EGMRceX2+4oenaD8NtjFoTvgGj+fxHJ4DAi21cXYlKlrHBYrkhol6TXs5k5fM
qqqAFjXvCbT3feJ2G9UCIOVIa5+z5rgNv1s7YosqFuD75XgyionP0G9wccEgPLnBsrAI9zusMNGf
Zl/39PJDc0d3za2D/0iUMRaIe/pFwTx6NX6FG4Yfw9g9r3LcASe18a3tYX7YLF5BYVs1p8ixlox6
gL7ER/vuAsMF+h7cxA4CDgXaAVdR+3Y3H/hSEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 214080)
`protect data_block
k0SDwkcqpu/5Px7cdpn4jwhmBywG88lywZj5IAvgFO2GF9jtLHmg1ziRteFZ9stLb1qACFZoqoE+
DyFnJoS1+Rxt7or8QyoAzCd3OBlT5N946nmlRjZcRourxvetoDCpC2RERANccur6/84iHMVfkuAn
Oxl27irvt6dGDSGwc0e/Vgm0B8DknS5LYUrl+4ssqyfoTlUQLikX9lLVn04v8lLYI3pFWLbj4uQ7
mDcBnKfhbwN9dAlVi3kcU0wuw63FkoNmo9JLfaszDVBiZFVjxdVdRiO0nDHw6/y2EYpltTcqfCwn
ryq+Uw0IFb1W5nXPq6s8RSOXBHa5NTQ68jvO6pFnGidZcOztwxHUcJJD6Z5wdCgAlpGKp5hYg2PL
EbW0ObgQ6qYe0OdeTU52zS7oIpbQaoQuuCCRRwB5Wz6ZdY0HKYTDMEEOqJ6eQtpjzidH/vPvTYDS
Ex7tpJAVi1CplFXVEcZ2PXcd3CQWWyoyTS+jz4D0kx8qTSh8anHVUoE+TTDgEtrRgCG/e9vFMJsN
uwvZ0Gst30/D8I6ic7Y7hlk86BwNIe6eXUyhf4Ag/nHPz1PpdDLQyQm2ZfyAvIxoxuvF5bfQiOg3
Hry2wbXcLPd5aWCtdEDf5kLKTMgBU/S6C9uDEzdmJs3MqVZtj7TFf34phkK8D5xcpaaQmNUlzf4/
p2JQsiGPOEXBc2jON6DDxzdtO9iNWpSirX8+UlzdH2UcO0XL3aVjvSIffrh6NjI7P09hHsin6DQZ
2rNg1t2aC2M+MpEqLyk0jjBJwMmvJ14sCcbW4ZLNQXFtcNpv+sclEpIBgppLNI+JFznQ4b2mkdq+
hC3gxaKUeU+FRk24MUjGmDyrsSlli6+9B6tRFVTH0/jkHr8KPz+yVaJhuwDcAuZ09VdQtVqqGDxy
gsfhEGudYu+peZnLqOnxrZRUfIGWqglbsDt7eMQn56HTWPlQkRjxhesvA7wfhgNwV1yMwhAwLVWc
oQ7BqSg3JA4zQo2T2PZZLX3G7GCR+tJG7unZ8GEAbjLx6lpBHdm+zczhZ+Br/3m7KTU/hB+2Bekw
kk2R8zSVOqXszEgQ4O+kRwiuV15NjhjBAyTPnhSGXh9c6rZhPxnp7BEsGnc1Mim8ucwj2djscWos
7tUINfISFF8rXmaOU8itAy28+HFFkWHI0q6POhhIAyZNTEZXlX0LfGfAlWwlUqNxf19F3ALjhXXt
8fGTxb8VWrNPBJGHgN7Rz5TZekTp1LXR03+d7Qeg5GS8+vZHDQ3GkDhPHaeM9RPiuShG7vSgnnKK
HPJtcVDs2wE7fXzho/Q3iVTiOMLQN4D7FdHkAlL8/MzspV0oy373aCh47lWF8FsdPfAEI/JF+eYA
ydCgv5d4Heuv0hLZ3W1gMPjPlHCY0U8YuJESwfbLufPvxSHGqw47pP7muTx9uuA8UJkkFzqQ06I9
bA3AgpzytxG6FLBETkXN4zoy66wrOIHE5HNBRpRUFwILg8lEeGZ9mWfvuyLUsSCa+TviCqGiujl+
NHN4mq7VxT0qyRZzF9f562JIma0uNYCWSAuTGs9l5q/+PQObJ3uQ3QV10rqTuEL2gbWeWicXzrov
dZWoUyZv0uKQiFZSeD7tHEW1gQgug6z9kNn+Y7YQav/Fb3BzoZr58Kiuk520D4OFZehc5JJnUKWZ
1FfzRf1F5sBaPYJ5A5Y96yDjNh83oCEX4dpe6RNqYsJ5WYzBqaVc7wC4qm1wAnyZ9aTmVuIjA7rw
3UoOia6/TqL2X5k+Q/pGsyPgaSjXxZN3NRdP0XasH7R1diO/HmNMlVKHqhAM9lfdiIKUc/zombZx
6IshJdcmrPqxDglXl2Ip+SXp55OnHkTXb26Xb7vrfdc/rT5HJdbGhNcr1EjJMWaDwDGmiV2xiyio
ya1D+/0GaSfXLJoSZq9nF5hMNqhJQvYizPvxaBDDtTqcq3hYHo07BPL7To98uN2B9/pRgR+GTPdd
nhS4A373jU+IrhaxeM99sV96eMepuDE7auuE5XOtfNKPyl7faA5eK5Is2UkJYZVdQ0k67TJX5QOe
RKe6o4vdw+mLB+gSWtVtZ7Vg93HV4EDKa1MQNZ+a1seg0oX4gctXI6z+VcfgpvzN24fh+hFI52wK
IzFXvWx3Jyilp8P2epmRpVoRv1oXT9lgWuziuvSahZRpWoemrSgYYW+hN70Z4nodN9plnE71Flyq
MmN1kY+Q3z00gvzBY1TD9gZm15d1NsAxu7me+b+bDm9EH0ImEKXOW84plvnpoiF4IpaymtY+7Mpr
kYGWMjIUbuIRHeN1ykjFNqpH85FSEBwrfBVEmdyZzPuwgCmR1wh597fE+H7+c/+5lhRMkZ9DcuZ2
eSxRPX9AWYwgETivw9OTVKVYemBp3JNAilIHMkILq1d1Wff3FEeY4sHbJrSKYSWKh8v9yaGMCuwT
S3lvmXYNrMgM7sSCeZ3vtYKF4gBjXyOJzbvjQUAbiiWzrr454+M0OtPEpMpZtPL4dPjkMAyrEZfI
sERZJLn7YdyAU6USX3DZvwEEtUUWyv9pJiVnBqMGsPVmvXPunfBB8JF75B62Id7DMbguofbmIx/F
9h8YUwUZtfaTqKZMS1xXeXPyELiyzgsEX2D9jqxEddcCBNMXQdCS4c73KOuFKXEddw1OC41zVnNc
ALnXr/qVpOubFCqCumAO4pKg0FGovytkCgXVbgc2TocgNHKFpwwBNxc780s0uK9C8N39PimS4kxE
Y7lrQA3ReQqBM2oMVRGE/YpwtnaZtW6GRbLmvw5CTB3N9AHfTyYAKXd4ZiMTZjcPuEySMI+NyAGA
WktReeCmqqgUyWBHpJkNh9PqEki4kmKoVfFVca17qUH1MCl0xKY+ylH5SjnqVCbp11C4DeTtSL9A
31EPaHS6EIZ1JUVjFpzMdyPMI8IYVu4wyc0USxOvFYG6YX73wHy7riaXL95MoHEo07FXbFy+2ZVc
bO+wlqwUROlX/1/tb7y0xHpy96cSX2dvOWEDFT74oip1YiOBUFnFtKdMo1G8CRUEyznfO7reYhuv
A2/AX78Q0nq+gUlnYxv9dnY2wtX+39hu8ib8C7/MO04RjNAVk0VPQmqv0xp/Q5a4eBlHBNFMVwHN
deiybXVY8cPJXW84UnP+jwRWRWzj8q5ROFeLMKVzCdqGFeZD7K8czkPV8PV68+O8N+pXTh04UcnT
Gei2sduKkLffnn8WzUA1kjlJZZaGU9c01iDnYc7Es/JXBk+VbGiXTiNXfGiZZAIsdq9G6VNeOjII
wjyvuXVhJgmlm3NXwlqO/u1N2fKTdjubnHTOX0BvEi/bK0V1EoyH2t//nla6dj1qXSXVZ3ApSSAc
OhcAcQdni+n2Wvxwt65+/W8STTNL+Eth7PCz1eS5QnUDwLSd9elHZT/29YNPWp5cZ/Y8WhyXYyPg
9gmmG8C27ieRNjUF6ozeKQdjldib/zJXoonmNg4yYVkBzqGYZF9Io2NLJtKclfAo1AEKHpS5GVBf
eCFmKeQjuh/ibkn9DGHLApCtxn4gOTgapLPIgJuWIx0r4GcDnZYx4nP76eP9DrTRGnq7MhSHcIdH
hhg6sytyCq2VADr7k8CiwrtGPBiS+SmxrsUEuFJhu0BqzC+R7p2ls4ZYnr1RU1yfnonmH89G8zK1
v6dSp5QCutUK+S6kaRaWrQVWFC2mPWVC6uh2sty0UdCrMLWsXL8UW6tLYOxRNQ2nBpls4gA+9v1h
XpXXaFU9txzDm5GU8xzSQ7fKKbEK1SUYeQ313F2MOiOd+TNFT8bZeOw0QXZO8SPWjV+x1DmCix3t
HqEu5Hj0V8+oqc82g/1ZYG5S5zo++5MevppTf31WRmUDxoyhK7lS+MyKVBZbQhx2xIaBRPLRD70M
u1aryfT9STTZ1GNfEZueDnbD8kd+gj+3w0OkRsP68i0pZd08ehccaq7TCtpieXHv44GKqd5qrxMd
3b+4KwU0eYMAETrTT0RsZFNBCTygVRPcSQGQ6fx/IjBfca2h4NymxA9eJWzjpeKiG/iw5j07Uwut
iWmdHmlptpHMbtc1ZtGAbCTDcSNqdHAhg1YE5A4+tUQQ9voxdtUASAPgzLOe+8uPnvN2LxhO6Vqk
ctEsHjI6BaceqRR/f3NpPByrgSU9XzLKF93cMyJbpZIyuOPpbDv8D20wOAG0J25fO1E7J3KtyCRn
oooBKpjeMc0Q4HKMBUTmcWOrt6JF4dD+gY/hcb1yc9joZ/W7tNy/TsB714ttWN54PmgzjLtOwkct
YDrB7rciJyc1cjTgu2huzLb120wUH9Lp0t5HuGj6xiA8zusXHnLG5rIswpQh96SW7AwyjQy/hD+g
SbDwM5Gt5rNBE0tEVgCT9/1clfGzFljz6FKG+6gngHLxTw0aYFb8UfNWms+pJtK9a+fiNtEJ2fsU
uQKoj3HWuyGSHyg2hnhI2k6AUULpKKffbW42BpRVNQxl43fENW/62wDtomJF2wkPAny+l6paBhOx
aucUhdJPO2+DJbS06g5+seJVLdbXuts9MZ/AnXMCN3mcFHC8Eoe2OPpb3sEr+wbE/niwUrd6uW9F
XgWzrBWs2fWzaeLHBAebWhVMOIq0xKPJNBaQc2dZy54sZA2Ix74nUQDVxTkV3ydm1f7SL2k6kgOG
U+SzrgfaGO1DU4PkWpJ1Sh85dFWTnh+PU/+vPgUMYjctdsVxAqeaKTCDmS929bOfUX15ObUCk1mB
JiHjo3wMmG8fHrydXc+ja/+cSuJwRrt+8BfTEHiBZUe+fTFE5b9CC0b5UgMSYsEVSq5YUSOK0T8B
JRKopx1evs5Oc1zZXGAlK2XWGV5jRpJisMC7EL1MKV44vYqbtcUBWA6TofGs8Dw57xsvOIuIQL3d
hiV2nAcMYKLdB207sC5Yxz7XrOCPlLrkc+AAglnNUtzRkxzc0+L8/AWgR6X2IGy09n5s0IZnKqVu
wFWrr+VcFY4uHXbN3T1m6iu+BEMhbr6OCe+EQC1gzs9hQnB9ilqQb3cBV8NQ5Kh5JXPCT9Z54vu7
/yvOLf6+aj07tVJyFp/viObj2CdL28ejkK+Y4fb4dlUSx/wb67FAwYNb354FLSAExpMCssgRwP9L
zHnCgIY66Q53yJEsd7qTIemaLShZ3fK+rt6M68FlIotGbzfp1f9AFp18jIF7XQ40cxDGIOoTBk71
SXvpo6fg+aPHvFyhhxX9YBUcKD2LIe4tjAf7O+Fkz0ZQCByKo5d6qHK48sNIHcz+wbg28pb+e0xG
/YoSZhVZDkPI7FFEC6hq1LlN9PsGlgITaWGO+jqmpz+flNAZJGHYHUf+ajZ7vJlIrqIQwGCvKz3v
D0OMNMewBDOqCymh4JGAV1QsVxfLIJhKX1GRfmVPlPVZ4uZIDA6Dz1LhQaKfWPgMeVlTDSnWL0EW
lTzwa6EyujY10TZle8z3hIqtgS/zIaNEMHA76Y0I0/Y5d02h/m4VrBpI+Ob4WrM9vICaVOSZrOOy
3zZtEgbqFkXBS5IJV4Fah3MB1EBoIli05Dx+rHsKDu2DluNHsJ7abaSoAg90USuWIYcoOz63hIPh
TL/EzbPF2rjRqDRr4bShevoOVIrHmF9iPX0y7Z+VxhkNBQFveTtrMTy6t1UDwjIynvTCB6RBjoRL
IRjHDCsUCky+kP7FtvukAVNz9+bwTeVU5UZLhGhJHgsqggXJNcl2dx7vU4xfbatgVsRkl16xhuML
bjqU+M+L6RpJaE25JRT3vSaSPilh4r6IZHA4gP4z/nhuZo6ygeAuy1sEPDmLZPI1oO/8woB2qXQg
FMgVWjqWbaA8QBqoE37u979IR9n4YkMy2T1AYHs50OI5l27oituXsgdcge8f228DV1aAWAAxYi3P
q51ullyCASId1+Fv+Ob8PUuODfhilqPI5u1K2tx0ZIsA6A8j69n1ZYiRHHrCp901JFmtw/59/tFX
S+S7LwqL0NRuFG0pX4vo4LdBdy7RtAuqbIPrH4dF7xckC99OMPaTKyU+NkN99Q74ffPHnQ6OJQGT
V51cOljtQm7HLNCzJtg5Mw6zIwsJ4/dhz6ZSHtWFtm/n/eP0++hjwwZYCLl8CbsQMp64H674DXF1
fWqMYqflGCet42GK1Q/kpSRhMN/udOurIAUpPgZWbgEURGHoBue5VR6DnX/Ou8DTPcaLAOorySGV
6Z/gJXASqzaNtUK9nUnK7gGtzD2Oqir4nvSJ1Cxgw1qibHgqsFAAK4YIKPfOG5dogBkPlQ2MSal8
nOt2JFWWK4+X/OnTYvUdsfOXNIYYN1GR1OL5MADFBV4LDuBV0jQK1LvORMRe8sZI53bsb0hZOZbn
2KCh86Dg5m4WrFMrqrf8fJGe6S2HjaV9sB99FihotQZiYyr6qClDnRoh0woLx8zf51caNKLF9/IK
N540gj74cZUvsbkmNlhnjvP/PnXGsLcP7+CceGf6Uq2kNnVGiMcCHCAje/SWCcrSTqD2DYh2ZhID
1jzquQ0o16PbtVDKNZPc4UQ0s6w/XqGpJ12PoYghCV8k074nifcZvDvAQYxZeuMxNFvegMB1jalV
nGUM5nR4RTS6/zxsZ774PCGUgfflJvSRUbXaHPeyYJXHVnAoVOPJZmt4FEq+cTGu58xDV4vpGuv5
rNS3YPCiQD1fr49G2gqKMO4WELda4ppXiYObr9zmXHnxHFFmAqY2MHD7OZ9nRT7Osdb2jf8+1pUQ
qVKxuVVSRacKXe7uFOcF6qZifpejG2qdnkt1TTaFKG8Udov7qzw4C/TwQWU4/PJxXiRWeE/ZID+g
OpbbbaaT0j9j4OeTeawzkSiIdb2LARYEe974ZlGhV1P3TT1uMdp3+n9VyNnENdnAAlUUTa12L89f
3Ek16y6ZFO8C0bWJ3gSJcHH1b/Aj62XH13Nowl3ZzkbqWnw9zEn1z1RmgZU6J5tr+0FY7gmiya2T
OXJ349NvzL61bHNlhg2yr5avTSCjR/ugyOC9l3AAzpil+hYpevHLOdVGVyIKyBC7nY1vmo53qygO
YPe2/ShYgavN/QmtLCxwYac+Twn6xNENuHR7IL3qxkM7J4k1tEfoyVlQmDOx04HkmECIzomLgdbY
wLepDE3w9PCjj4E1zx07RZUeRcNH3bTZlEO3X2hv3cGDHzuRG+lBay/MPoDapz7DdSU3bKR1KEqU
P0lS8SRJHWcejRwu3TgiQf85e3vmpgLUFahUj0XWO4lIxVyLb43uNEqps7Z/1Bb2pdnUL1PrSddC
ArQsGE2U4fVcxgoRA/MvuWkkTizIaOKwMVQiUWm76nasgIVSOPyE7xvx7B6GNCywwi/pH6kmEiZ4
xmPGpH2XkVMoQVihPPRIcO3HBotkqpJuJlvQOXpqXE0B09jQAe7FEBgC3KqerB7HL6c2LPYOgrgU
maG+ATeHPoXnmVMjLbbh0m+vEPJz21mSKOJml4aljE91ACpuLMS7SswPZU5Q4lCn5pifaQmmA5fC
YXLznwXiTpX8B+clY4ky8pQXz0HNHadFk6RKLXGHiImhgAjLWPNfN/BlpMTefhtW3OV9Yk/q0HAp
PhR+h6zRkfFhvrV/4DBqIU2tqCQetp3PpENtnKs+obyxAiYWcyapJHQb/IyViwkx1iZnxeh09jp7
X+aKndc3EbjN9/MzzvttWKyyNEJqSCpJQYo0MPaQ4KyLFQh4GaCbO0NIA2WcUiwRruloXzVMIJnf
zRnqu0tyDhizgnaPaVpdLnbo63Xahm0GExXt7w3zrTC/LNKtD0dDEFjvMQTLrb7w0BcvtsBlC7kA
dd6/W+hDIFimE6tgCtbwUEYnGpM5p3+HZKCB6Dp/SsyYxqqgoqEfp3bEPFx0ps8rCLZU1gHcrshd
u3ZsNuk8DX+Mr+LQG91V/oCxmNf2spKVaQYmq8D78flOoDK3AUsjloYdTHqozYlXLH0m/VQSARo5
ce5tz9RWM5uxy038cTDMpCsCk4lDH48TlD3qdjnyXc667QvoABf4nzqCbGza/YdITNLH5oA4Rp/k
3e0/dtFNpx8BNOT0vXOw6vxX4DoRzp89dO49AmOBecjWcJm/wfzy1T4/fy4MxfoOY0Y87yR21IHX
vURvFaBTtapZPTNeVcs0prbGJDf2odwNb88YCdoAhNB0UApvo0QpbzFmzhkEUcvEJ3zY6Q8aFBiM
6YHIXKJ2afnYzWfzGkiDJ+QvMgys/UpkJqOn58rYdevN0Oaj346sOUiURjCdLcw5WifHcmGqxbW8
3tyZZYHzxeha1pyUjOTlN+oiBqXoE8qxHD7cP++he7y6a1uyaUps/89/dhUAZvMj1tA8vB0q3vP/
fkSJ18U+8P4PMetDOIgHefR0/d9+mrLfkJyS50Px1SSHl20K60dTk9bspRdmVRAPpiPF49UKyZLV
et7WKzIBjIrX7NFfaxV8/chYxceSRzBB/reE1qaux56UFTghlLfS6KgGLcYghRFG91uwf4l0Gctv
4UqH1SYWKXOFKTgRm8DFeUP1s4oOL3BKZGYQ8VCn0/Qpkbq01t/vwIl/7vmGRUbo1d/9Qrx5XAQE
h5G/pNKFQvm0KN4y1Z2rGR85Cu72SWQAEdGya3eZwQ5GI6iG2ZS0tqkLzwPIxo/EeVqPAdrXsUdl
wAhoxOmK8aUjxk+8Kj+iB9PPz0BIDrRTNyZ1At9n3z5Q2FzsTzEQ4ZEdPxDS3AdRiMk0vIOq3id9
2zPzA/wX+HhwTCEshdtdg1g6CR3QEywA222bEFgxcCYPEvc5r3C9aNiOs3MXgBEYPDcsKZpN9I9q
7h6lvY1ni0uFk5FpCs9/7RkmUQ1InCDh2lgtj+S1YLdibADz9yakn5ewQxqUfgQP5d5UvsojxC5C
rc/0J7vjGoeikmBZABDH+jCVjAz4lXAdrmikBmLVCwdtIXZNNY/IuWLd6z/QnSlrauUydZ+Ifn+O
OzgYyiZcxi4wphcduGfEHoRtlwEPROWd34jxT5exjysWByKbf0wIaKISH2viuwf9bdLWm7YM4+tL
iaXM86MdY1ZANmVR6365rJqsni3lJtJ225t6pqrVencv77Bu2FNNKIBoxP1Scbom3oDRACoLoP0/
QGSVtptogXOY+qyPqv4HOFS8igm8S1I2txNm5x7shG7PiDjpv3Fc0gsOnSog3v7vEtcKASYuIn53
gN9SZbZlyUqcfySVB6sMt+5OONWbOwfSa2JZDT3pkpar2mD8ImZmVc/+xbviUmPQ78MeicPGS2TA
YP5776v4qVeUQ2dJkhy+EnlpasxwOFWT2idMohhJYXdr0kRI9BYnWnspaKhJqBobk24Ddre+ZqP1
WbAf34sGkL41pNCs5+vYlq8o+EUT+AijXKqjRu5tp52RkCjFWKGOTF2NkrWDLVQcWCbwH7hHDBdL
eo3b+fOmTd6pD7IGKYrNlNzpo8TdlcDeS3GXF9Evz3UOowmHwKOqPTyDm1R4StF7TN+JhSixYhHR
7TFCHKnowUxFBUtYNOcuHTne3O4BZEim4FMBLAyjHM5FHKcuQ5eHLZxdxLKGlQ+lBFqG7VDbrQjF
opzuj9eG2t0a4J3260tkvCBiXeDVMUbvFBkiqjLAILMORaeLShygsp05uLGql0MDpl13tu4SpgmA
TtQjvX0ZxWVdBe1AtVJjjxTHATmjYIMv6ZHi6klqqO9+qjd0mIMZxfVZJgKKmhMPeijc/FHvYJ9c
MIDt8j/8PmYp7rYuXuNp7ffFHO6ildvT0JADxVidrh/Z8m01uMyqFPSVaXnOiSxOjfepPCUpMmVK
6ClB7li0zYqHArSnndVVMOB+EbBhIf0/RQVvL6ym0F+41q1pA7dTqH3BTgx81wy2/DFGJlgII8lN
WXTsPL00FRyObWPqsTQQUlXJPfEiKiS3wk6RCofh+0hCRbPoDMXsmjOv8Jv/G61FJQbrcCvae00v
ZeXY3ADn7n0Xmiz/xoC7C4EsJRetChBjMOyNY80EwDdFcR7eBTOLom71W5B2CCdqo6RU6u/BZ+Fv
lJJWUvToTnIqNCFDuweJ8+K3Eyu1JGepvN7+njGqhuobV0OY5+eXPtBVglO4PP/QF5JUsq+xO+4r
3PABRA9eiCffmbKAXVCLBRWdcS1KAqaFJ3Yq4TNc3Bo8lGcxY5zQg2oV+vs3TfYWg7gBDRsvzmq8
1uT+kXi1it7FQLBmeAYOXO7YS2B7ZkDDOZAwElB+ZSapOPdWj2crmLdLSbpK6EdegOb9JES8uXS7
qKoIVEcim7CVAZsKRUJfPjWb8XZ3PO1NFf9bNc5pufwJEkZZ8R7KM9zev0dKpppZd2IgB0J4Q3xI
Tw1XpxcD8W5CYxjnwLeD6DYdPiOWirqxfBbzMbI3NriMzSRzzT9G/Efeoj/n1orKVZ0+5525s0pv
LvBBViEfdWtamrOBqMSTarXFBv+WSErBci/CmQx0LoY/Xjz/V+vvQ8zJMYlYJmv7pSlUeDQpO6VR
TDPe3P3KlpECpmsZuENnH0ua331IgBccmAsjHv9+n4dJ80BHco5pze2vSTfpnrJq37lQq/frpV0m
a9ua8PNoM9DO1zeS9XKHUCLymLma8XBFOt73MYIDQjgfaocah5b+ujFzM73ZvRy0MvvZ/g0Pw9Fg
1c3FLrffyoqiCMkbseZ8g9t+kAkjLXPkvN82A8nSsuC0GdXmME2zoVYTz3VuSMUW1bLyo7aEkC62
kn9ABwUn7t+YxB58vfGH2byrMf/PM2LingKQBSHXcRlTq/j0809xc2QjeV3nduR8UAM8BuODNi1X
o9N0aPU8aEE0D1V0wNZU6+umMxwjm7zNit2bcK9vmUYNmX1vxJG5UIyHD3uPpFmHU+SvHKj3zege
zReqmy8yy475Nk0f4kFwcnjJn0Jy36OXnyXr7buK5rvpG8xqsIOMGt9O7+nGNB2K8ku295ICsym9
rX43LKrSuQhanSs709Q1qCc9ToeT7OxLWVO+fWbrZlMKQQAEERFuyW/NFnECzvcVCNGt0BcNICkU
riEvBD2JXgD9LHiTEDVvqdDfmU4jfnpFvKZX0uXWdmH8Uw4zXXJC329AtTA3BooIS3CcYmbzjHgf
CgZ4WCR8+wAgqdmYx880K28rbWmwvtpFvZyPra+8RhzgRb5CqdNu6FoGIS3vq6ryMBS/IEuCVjP1
CuYT2iYVI1BfUTnPsTCpiaAeSmszCkgDQFntdNek7u1dgO4P+vsnDJd/DMsRYLmEEHQR4c+9XiEr
W1PFTLZXVuvf08170KzYsfwAIQLxuX5EDvoBLMtEofw1ePuzcbUhYagqFgqpUQQvOadfx96Uo3Rs
5o5swv+xVrCbCCQ/C6julriuKfV5FCpqgr72F/g6Ie+Nm7oAy/TPR3MsMmKy9WqLoEaKaO1CDn6B
yacxkAOBo7TslSOmtxeyu096nX5sP7bP9xXdhrJpQBqA30hhiEpJVaBUJvJBgc9b2pq2MTpoxRbF
7xZYI2TvXnYlMhn2LTcgYYrJmGnVzEl91Wm8iEfiaKukcGSRP6mmPV19SmTH9va7VcDz4DF4hE6R
prmiININSbM+68UrO+vxGY8Qjx/oUEdaUYomoMa39UJ/QDIP/n00KRfx4/tifCNpmhWVBBmfrCdl
Gz6DAFnNcoLHtthN439gVySvrQ5+E8rltcEzNnWk+BB/WnkhIhF+Zl/EWT18R+4VwawgLYo43dhP
Um0kClPrh1vbWOagkCYYEeOEwDYfrIoYMaD6s+PuKxlRiFkuJEFky7vmPHaU7N7p3bmh19L55xv8
sMCy8vi1ef9fGmKskY5hdgah2XNhDoJ0tG+LpGKwzrSGsDVvF7irh1pWTY0RKKfHeNePEhgMdBb/
ppQcAkRr2l692fzH1uN9EgCrLyQq+tZM6VyPXx5cm1GgshZ/mx1S8iYlaXC+PUlZGhN78fGU55lL
BWLN5QB07wtrRIjrc+ITqkd5vP78r0JFGttn2D6ZPRB8eOubE9hD5cB/J+HioZhDL0fyJI5Ieava
Wmjmv5M7whNTZznDmZ2dmTz+yxBTXdtl4fXBIPK1DGGCMhkzGLlWHmfyOa84tdirC0M1KH9t6hnD
ULx/tKyCNkzuiWPsKzFEdxzs5ms9plyq9q2bEbey0FpcLJweGdx/QuQSU1cQuHQldtZXKruXI4k7
YUdYbk9+5sjp4WNwDAUw2Dx3iUlDACFT8E1uhqgJiI+MjtdO4LSgvV2UhCn7iek2eHQ3GtOoQS1R
AEl0N8m3yOpVde3SnY1cmp4tkyV0O134vomnUhDydHJ/k++k0Z0kLMnziHvwR1Oad2bWakAhyG3w
7PfRRnPNVgk2orAP9MCFRSfPYoxi9mOFgPGtq495YOm8E0ab2jgyqZs6odNMMoMuTTCJ57RzSDJm
I3az43zgIUPBThuSrhW37nwyN3kY5Sa2h1AcYduFjbFtGIy/U7+QtWjf0RShaBzt9ektpEor+DhN
aruMhoGuHf02OhvxaXVHeDVic6VQmLNE507O7ShipRwFQZm/1MqTrXM1JylJxV43+iPttrYW98nq
idJ/hbdgij2vFpPhKljrPPNSjD0ucI6wqQSfWj26IWX+NhRUaAe0u4EiThB8g3Sn8NR0/+yxkWX1
owp5bqP5vbnp1Z9f7ELndenWzc2G2vq222FUKfW/KLxT4apztWlK7aDRZT/mfjsA5pWheWmNRavS
JWwifinr5BKc/b1t2BBXl2klYlrxOAkHDmBHOHy3NRrA9rCAa/0ysmPdSaPXjZrbDOUtgzlatrIG
+ugb3gWB4sAeQX1qzzpnqL3m3UkfdVWzpmKC4W17fG23S6LeE+R3ADUsZ4Bn9QTHd45lpobMYImH
XoWoaZ98UXmzxiiKyaYCUdbJATbXZH2CxNTwvJaxBPlRjTOYMmhQqSAMqI4zp3B0IldXr1gee3em
huTLsIpRmeS0pB/ZUAQBLQWortT3K3/dyjWIFr8epMP4UN6i+NURn9GyqlZ6OSUBNdpKbZNZN/XJ
WDGVtUwjOHRGIf1NvCGnkuLU/ZtcmeZ5SyX3lIA3sym9VI1mVU96+HQLT3zTgaP6Y0kVk1Zzsn+F
AFxmH81h7ylqgxAptitbklbWg5p/bFoCBPFvuWrO1zNzBIdem4oLz+jbCG5FHAIWE1rBQakZQq+U
l0SzjnhycTxtZQyXlTn2dJmpr+u59Py5G712CiyLdra3RaUsoV6MxpAAi6XWfnIBv0HtljGfu3sE
mpRVqqpEiC/g8FRyCamkT8D7uGDkDuiJjG8H7qnI0d+Xtf6zM5IO1r9B9q7LWwPYhB38V/MM0swx
chq4apLnGyplO98Gt/X9LzEe56ciZI5IPCe/OhXNlD8R0e5vKmjYOnIuJFoBR7xSFFo8KzBiyVu0
plmgb6nNGJSE9I4rmjlcQALddXzXg/h+me+7HZZG0gVDIz8Z/NtZWeE5wWzuLIIv/K5SgMYRTB+c
lE48k9IC9Ry7vJgjhdVrqbPMb7x08bDhBsayLLR/Tbnv/VEsc2WSsn7Al5oJY+24DVl4SzjlK2pl
PWc92DJ9xtOA8n6ZYys04X+smWwQuJxhzesP169YpZ7ZjpmEoGgzODlGcizppB7HgMlOl5ynShZG
OZkAvR0h21zvcG46AZPzvlWvDbwhfRdXXn2TfQLvuHb9GZR1XbGIlHg9TV9c9JKm/z4XZi2sWS84
ppXiEz41M+ddDt4sRyOGVK+9pnnxy+qrJCfr091rxPWj63HbtOIylaL4+BJomaW19+UeCBQpwsJD
DqiqZma9nyJFhVfn3s29zo+1zDnVFts9jxrqewAKqDuoo+Eqy46ui12vafsyGpOj2EPwCu5IEtzT
LbTcRXuFBtfbJfCCiV8yVLj8as7oR72Jl4IhW2gfzg7o/JBNwMzkU2HJptl6Rw5cv4baJMTG6Uvc
pw4bljsOW8VVOnRDJPAF3O57EBCWN1f+aLbQzDTkx0iXuwwLldWvTRR0Cb0jR/tc/RGwyUeYS5Fn
W0Gg3NdKDam3Q4Gi4ficpu5MnIgWhyB0wGWm3eKGMCKP6YmwovqYB5ciDZ2xgKS9jenFV4m8Yxgo
SsVljubBv79bMPfZ0P2+5dkTJ2nZyrayBdCFbFI6Sw2sHsJJVzEdrpiWah5ZiAGv/EQIPKkO6NyX
2/dRf2q0+HzezWfiOUx5r8ucSc431zzGKbYSQ4/G2xqf+CMU7AwDkkLH5B1QvoGPaf8rcikt1AC/
er4U/xVhDgUFN3leG9VdftmoWYvUzHMoBOEVEQo9tmXkD/Bn6JNFjcXoDOUSZqamZCPI3nwjJHMF
PJ5rifGqFFgp6Srka87kmcFb61z8d4uEYZUdv3S1MAdl94hI6YEmhT0k2Uu6ujA08PRQAxYJWt8t
cMi3aAR7p8avTHsALd4ri6XfMQIOhiXkovPSWLM4JtYDc4tqadsJIkagDzcB2bguTc+geWp50Fou
DhBtugZWml6jASq68ThY9SI+EXZsyIWRxMcsbGe6YIZ+kGYWCsEukNzT9Hk4CjbI9CWoUd+JYzs+
BHSBoOWMWeyZYp92na8KiIiC0b2Z5cFIBbVQcKkcvi+gA+tLugHYpwCzR1kLnzLhxLJaqqVSgGkq
dEpjFLo4n2+ZSbNUDDi+/BiHORTUpyvJs1M0OaoQ1na2PDEUo2X3aAhifZsRAGWYWAZBaCsyPDkD
rT6lOHI5u15z1zYXFcOslXwBef4mjorbdllJABn2DsvfPZO5T/7Jqg0gAJPbZoBaNChdG5/yjr9Q
pL68IN7QzEavzxwGfAEMIafIaGwNJANF7QhkhWgxshWwWz6h2W1Elfgr1disPTuTGaiubBnaiim5
ENVwf+HfasJyo/X44jKnvM7Ubwf2Iq0+PBTHxhPWsE/0RVqJgji7LDRDY9HfappcGb08XGUc0qpC
wqqyrg8mSwcqstkqKICjtjuZGTozodEIShdCwJaEYw2PTem1mFroMqPOwpT5wUloR5Nvl/Wew4Vz
tGyubqMkE7ZCLpF1rNMCM2JfEs4CZECidPnf2uFQEnQN6YIsz8FOmSkhscTC2xqSfsnmWQchDxHL
zzn7xNzAfRk+MOXm1ACI+Jnt39cVjZXsjoEx/X1yIOD1ts6C4Qua/i2eplVho+acfVksOBwZuQmb
/QRHNQuhX6/p7oZ5HFl2Tky2zYDSL6zlVyF2ZpEGctQ9UxnDrpIaeYIvTAoaY7f2U4f+EaiW0dSt
/NV1fq+Durukb7x7nRdeLY/cvZm47Qa5O4WFIrz9PN8fsAwhDke6Wr83U2t5VbwA/j5c3jzhdruv
tYvadiQTOC6FgAEmjwWleFI7HmbMxlhg+7ToY72BvLfBmkFp6AaZSoPeQxfwP5VZLlugXyJqVbUQ
R5xD6aBIEes1pyCLG3hVSYFp46g1ZI4HeJPJpuHi9Qo125WGS5qzUQhPUdZAXPOPiWQfmnY2LKG1
Eplwl3TnmIn4waEpmpTfg5ICmq+o6StDwomJLFP7Kj07pP1eF1LBmrDglcTp8beHyOAmLnreVgfr
1NZYi0hrbcPMDKU6p3xrpvRdMnmVQpcj0YOcQqrPzFfwkR69XQ9udrF3kPCKjgs/KyKGHCc1Jy+l
7DbtJNJ4IYtDUeDpjK1+XHCLq1dMjLJQc0KOIE4t61BG+mCIeYU6cCbynPt8HeuN38leIr+qhFUi
0IkWrZK7rCJuEl6IEaOTP493sDwM4rNMatCPmSq1Nr6zDOYFLwZjnoH/IDeF5xxutyme5qG0twKZ
zC51C/zXmNutCXtqYIW8Q8cCquNVjLZO+K2OE3Y9866vSO5RmDW8vbhVbvOTEyqnPgbbWrg2WKtl
OxkcbtRsv6URdE7uSk/lrJ3hyEuWK1ugy0DavhDNnQ7lvn+Igf00CFmTcm0LkURtaeBeJGIwp6/d
MpZ/oBxhXaEfM3Ays25xqI9Wc4cupMfyDlXyuTntq1NA1DIEywHJ9gbaIvoPwTVKdG+6FVd1ZUac
iG7by8QPSUTGmZy9WmYzL5lFiGTPzSY88jHvqibY7dzlhADRDHNf1SXEWsR7M8ZZlq/mON8+qLSB
4s0tsu+TZeeSjN0W99Pmk43YSPhhgJ6d8ecQ2pPQCgcqHRtzqwmyH+cBs5o1relfkObsdfPYYjQ2
YbF5QnBAOww5cDv8ae6NGmOl1PoI7qAFz+xpzotHg2dlPr6ht+b3eWiYakUjbit4KmSIzLC4UKvo
a7KeVjLYLGXI4CzLO7VmJkBe65/nOvXPVATqe+FRPXG9dlN2iND21UUNri5M6h5N3mQCYNec+C0v
gihb26DZYSbVGUhWNvDb3u1pm24YW6ZMrxEMOud+gEaofdD0cABTi3K9UaXYyd94aCy8UFOI9K2I
qxUde+I5Apc3Y9nsSbnxcsHKR/DapVyvYzMiS42xBKN9I8UN4sdVljqNuyigtkpI6z36Bn1LwlS4
fbgqJ+bEzTxEkPrgIzXYFRa1cHt3OriG2elPa3GtRM2rf5+SkFPvhVFZL5n21npc9sX3K13di4ba
cKCEoHnGo1FSn+PVxBv56j51TyyuW990pjTxwAdeSJ47h/zOMdKmM9L1KTfMtQYol7rd0cWCLz7g
A3blB+X4jIfXagLyDPv+N03t65O3vnH5uBwNuFSygLrnCKKwqFY1Xb5/q3WJXUKVEFAKkxbBinUD
FRzrqPb4li0MhCetqKbQyesxkZlSfB8IoZR1Y9qR+PVhy4tVl8Bo1HUt4y2tlXEiyf1AwmYFqtAm
ixmiKJdtjuYMKsbOqmMSryoACnqYkBGiUeHBD3lepqKOpKOMhfEUu7BszcIPv9Gp34gASNRUydod
IUbMkf0+GGxNozxdJGMZ6JmvWZ+7QKZNoA+DrEfnJ91KeIZvgEFsopSs0fIex6T5zaIuiQPzRLX/
JqD3LmQ1P93X/qg3T6p4aUACFmIZYPFrsodnliqGKTOQjmpNpaGEqMNf2nRATG+5oJhUgQ5Vd7lz
b4MOjTIheueuWuZnXLrAwACQWDCFk9kN2AXtijnZtZ3tkWo7hw2cFbj879rWEk/gCdMipEPYVKh0
CrNEiEHL043dZbRhTaufHysxwFPhGB09xJkzkxINn1QihETgFY2Wlv+QJYZHqsZ74pVK/xsfM/hM
hy0h3s5Gz4LpsAo4FWdnCbQbB3YXtQEjA7XIOQHRg95UF//qhnpGtOJ17KN8K/7nz7hjAwuczD3X
DkNv4k6uj6QtE6huINw6HRUiLfX1PpLa1j3h3TrN1p+RyFURAVBIaxy+s0Iwmtzeg1t34uvRU27P
4AUXEFT124wbIsB+kLsrlzeBbx9ywV3zzWGJcqFn/JASX5r0cpuJc4Dvdx8jJE2MsigXlDBmQv8E
nxPSKw/kIoBbIhlCOiuS7TTJgvzFBkkR5mwlmOj8h7nDStBeKcxS6qhOXGQOuS5Ld/ZcFfAdKVvK
qqWVEpnvKvC1ITH9UqtBRx9xCW4qIZp0kGziV7D+y1YLLyXrP7f7GzsGxw2g5PqD3c6p+sGpMchh
tBwYqLWgk1yykbjkzjzzkgoD7fWN+y7YXpGnnjIzJ6LocQA0SV+l0OKuLGegKx87qg5YPYTgfz8C
AxZ4JNKxHnihh+2+kGrNKg41n8/Sa/EuwvrGjv6ZRVgh8RpuW5k38AfQ10mXicZHvyxceqSXE9hu
haB5OzEbhcO6v9L7l0P4jf9KHkc2sudLpEj9uyVT+nJn8rQmEOOpHLm2YzEgr+A0ilJKcIHOL4LE
Kp15Om1bZ+DYI64kaQGxze1cEaixt9ndQK5yLlBUH27SxyqII2OcwUXWuM6mAkEwqQ43rNJS01l3
nF7vrfQl2PP8HQJvw1CNuyi4rkBkFZEyefGa3yKYy5x9hZFjkt5+bxLsaiNd/TEppjIjQD2NPR31
QPsxi173h4cacV1yhEQrSWNEP387m3fIU2hvWuT2UJP7lXlJpC/4new17XBk1tNcWR2GDGSXANr5
TSQnvbnlVmRECYkovniN7KHXPp39jZOMEcjdaYTTaTAHEF2ordLHH05CaGZmy92+VwJZ+sNPBjp2
+SNIg1R3mXevwPAGwviC2dV2KbbQEF6RrLcl8WgN1p6vuI4wS+dm9ntn+hZ85cDTsA+hjm8pDdk6
LQNE9gJwHLqGKkp8WksOSGjRmbC2T5luJGIcy8+Ku+JhNCnKySNNyadhMEcYmXAJt2G30gn6FJe9
xOYyEQzsuT7S8+ousFATfuunOKfEx4QwEXOhVl25qOae41VGCTryFeryF3S/Dp7EfmbRrqJO6d2V
8J5rhbHLFDEJiiK+xtZ8ZuFHf1M+O5PUwpmweA1ROCBd8lsFPyWkfl2J2JNYxXH6mtNl8REn0rGR
G5hcM5inUfZ/vCkDgZ5B+a04BjbwJS49CIimcNRtBEA/ncHyZm9Z1iVW4rn2sBi9QaoWIXMZVx0I
uI6Bwhozb/YybgdAcG7PeQB0fl4/3H/61T0VDmkA3JUMb3z2CG7uTGqg1X6t7rxQi0wUtZ3q/3Ps
775sd8fELuaTstxgx1YY4zbu5KgVhSqH99ddI6ULzZck4RXysb3FKK07jBPDvRdG8c258FS40Hyt
WlyzgLJkjTFBdvMjhfngSawjRJ932/+hfpqHk6kYxiX28X8MXFmRmNEkV5sjHA+h+QXQk3dEtt14
LYWuDBNaVrYl/Fa6AiKAPvTBhQv/kOyCxaMWtyE6uPUokTvA5hdA75sVmVZ/3b9Bgsvsw4SVxUXO
pJzrEpiCK3SgCN3TXp9ko0BRu5Q6VOOWVB/fEq2jplEBQdcHZHs3w234FTjcIyo8LZDl3RAejlzu
wT62dwEyHG3fFbERZJRG5wU8VfQjN/6jPF/wFdspUMRebSotrzJOHDfqDNKEizY3q5nzUSmexXiS
UFBw1YrTxc6gRu9Z8vyUdDONAAAcv+JNwOxjceZNo/bcyTjnI9U9G5LY+XzNF5eqFwQeFHMOiEsP
wW7BMwxTqh+Y3b3EB8g35EZvedyLhNuUYkQOy71jSTZSsW+bivYERxsH7MPhuxYaUiQvh0XuQroM
fTl1N6h7eTDBRB2nEEegypS9FaMVV2BU08jvmiH80zfLt8rZXAjLtIYns16ZlltWcfiRi+ufC3qX
x8r0PLETAILXMRynDlJb1wCc41gvNm9K7UDSbLcKAqJC+qgoqPQ4EedYYTRpi3xrFuV6wjkhZEvM
A3BHGpr+QRwMO1YTZTFHbHKa1QUgyS2Lrjug+EbB5I1oDeUKzBEDV+DyJbLSaQY/Pq1UlNHqf3oP
0LIR2cIBr+Solm96aM8rih5BFlRJB0yH2OPuSlTvuqrzjyihBvXJ+KbstbNjHOL0LyH+aEQX/4c8
gickNcsZvxoeypRNXkGxWz0TBAcOaEal6H/L/A7Bejhv5imdhqQL6xOC7Z1QLBaLS57YDE7fAyBk
5n1Dx8myC+05Bb8VicQV+JBVXbSPqkGdkdWx+lvBdVj++ZIbxi2/UIxChXzqonArr5VBlG2KECVX
NnX0v+4wEu/dbZHrN7fE/bdXMu60BQUhNekwYxL6piJG6196AJhjdwu31S5iqUHAUJoKzPP7uxyf
LMsnvGCPLqqIjhtDvYSvP8LZSuZ46LPyFUwv97Wp69Q13++Puhw2nU6nLAIgci/JgiF28vHtcMEk
NClrGADrqWKBogBwI86HrkxDJeFyrixeRdkCGtma8jgBq7YdZ2XvBz5PFHb0YJoJU7yEnmNz5H7D
cRhMP6phPKw1HL93n1TtaypVtRRJ3bONSkBjAcKdzrbFIJI+HmfVnArMRrZ0Zd6oDKrvpJNRxxln
P+wz/TWLYipfAk6k/3nRssGuzh+A/8wWOVuKbJ+x4a2fTMxwmWOdPnmh4mT3KNkQdbDL3OJ3ndMp
eOL77+DDceIUlYUAOkd/YIGeETP7zJPyn1EUdPP11ZQ0V1xdR+zNDSARtOGB32rWSdU+Q6/TXYc6
T6o33/LPjUsP32exbbOKkcn3RKv9AAaDhWSHgIATulKZIhx5kMYxRtx3qUd1j0SI4LAqAh37gALu
8zV9nVIdtO2cQUB3ghWTV3D3UHqUOBYG3mP63YeTQI/bmDbuNQHHt0/Q9onOt+Kfk+6xykzjrXzq
lvKXtDLgpDm/jXUXesHACcbtcm9Gv9bcqdbK+x9JJCGtZlWhVDcO9kRYMuyHfxOCPJqOHx9j8MPL
JK85YmJkNET7cYV2hBagiJwKd7CKSOPRns8KwRiT0ZmmLC/QLzR8GtJ64mFmWoAvj863ChCaCgMY
ktOMqj1aTITLsNKq1u5Sct79SQUACImS+igpItkIuCVmtKNsg4l0NsLg86PujQOYDOykuqf29yKl
9G0oCWIEnjDTBCUONCl0TzzznF4YpMwzcACJtpw0YUUbHyGF3x4ddVhIBDttZBddYyg2fxbG5tpm
Rrjdj8QkPrWvHKaBGQyp3xm7QG0T8O/buV4jcjJxGUNb3j+jsALeqd2q8O9g8RTFG2mUO6yrcTIz
Ruwe82RIhFASTEjG8kvJJdKwiwLFEApe8LUJ7TP6YmgG13N/1PBA0FnNz2+OOLw1R1BGIzWT3iI4
vSAdO89LxnwekFjBaHo8dzX+NQVwVjbnW9FhUeiT3dPSWkYVlauC4mWurd/rWxfpCVgAw3gATQZO
dhMU//tDhnolHN05Qzl3BKCAO2FqYL4vCavOzLkg8PloemtC4GrD2TU7Ze7xwqttejEesDWjYdDb
nYxGJ6yiccOBCjZg02o9iS/yjXVggy/1oZ0SFkWkw9R5kGocDvOL3/f3RU7KERKNUp3z0RZ4zcbs
sR8sxI4XxNxbrTaabDf6G+bOXaOKbBCc8NLuU7Hlf4zSrFu6E8QxNfeFn2sXjlW6+6tK8wXVilim
7zIQZKs6xAoGxXFJ9u+FnzLNCS+oShEwFD5qd+Y9evX722wkU8swTCmnRpWHdkskidrACS5C5p+f
rArReRCM2ltPN42QeIs1WAjBvMYZHqCI9IwqCxDJwnlFOqxzZ5yloEXdLP3pZHrGntNF2Gx1XQyh
02FPcX0CxKhiYdJIzR+OL62XUbCccJhGe6WZ5mef3qMDwbsQzHGkTjzBVrY0B5XGtW0MdoZA/wEl
fOkdRv3wpigo3MCMt6Qh2aaoUgMDw5G3/jCrJfz04yUDFUQkRRF3ox8H+eIQTPIexzR7EHEqLa8J
0tMLEpdXSszjsQl83yaPPT179f0Qr4rpfuSQlgLdche/z1zz1PqPJjBFBM2Xcz+wUVzNNgtN16sK
/BZFt6Sp5uI3nTC0DkWTrQnh50wcovPiztpcK7DsOHWecseqmI3+jQpbn4vgjcYZvDHshqvtE9u2
CRMPSVzboSexg5YJxWQzrI8NJygm64GHoi8tA/1BEjUoGdbvtv5AvA2OIiXXw1RKPsERtTT92qQg
keqiJ5EL9/r6HPQb9/UR5DEVvKN0pZMua/QiFldvw9Tckp3MMcvhsaBIbXjbX4FhFN3k2AewfMSH
xhd2nZNyTpszEpZNQHw5Pwo2YQpjIe8B48MUA5WeIzNhRUIaxGkXijceR+NQJGZZ9CH3/Oe6nKzF
wjFUzZYEREssPEIrhJfi3LtPOdGEuwd+aSqmLDnVkyGs8B3ppWJ3SYzuaCFYWCQ6xGuMtUP+Q4pc
Oe7y1zFoTdPWw9LBCmM4pObPr+13nV6HYaUi66/WhSqmZl1Kgpo+l2cPZsx/szdEUqtV5Pw3dHu0
AlIaiY1Brq11FM9RwtlLaRvHi/RRyAZ7w/9YX4EC6PKghtiBJrbfQ80/w1pi5+K4aF+YKM5tkRKT
roAB9VkDe90qfZRkWmjK1D1tBWy80tlPbbhBBMhuOWnFQC7Jz8/6Kircn2BVyiP20JuSg70fxVkH
AlUxA9XrUiv2lQxFYyKGPGoYDv0FL0un/vQ0d95/hY/BgOVtTXxGJ4W3vA6dz74xEXcOtSJIhrB9
SBnqSrS/623uvBKDdkzkgowpqgg35Yd6s5zuwlG4wrW2w6+MDTMSMax+uOcIakm3z/AvW2AGYHQH
VzG5GbUboC55NEo4MDVH31VpeUQkkSV67Y+pjA+hxfkQJrFSfmcy2rkhx2IocF5XkltJ7UNxXOlQ
GBJBjgtEszBpwiSGW83Oax2RCTy2dV8KJyszwtgMhnhCZtiHm3ml6HV16ByCOWYF+ivlkFRGKSXm
9j6hLWMI0z2aEJOlLj1QTfiNxA4Ec9Ujyb0UHrMyzABI5MrSF1Yz+ktyv1Xp0l9hitEXFvs2apWb
9UJqDD9n6RBo1GDDYT3nb7DR8B1qNX8qOq3HH8ROWtu7NoNvza+KeezbtDOrOQ0N679b5G+zjgKw
SwURVd2xUT5bLTapuIQl/FsP4YdlPhHhmJAKTQ9/xhdxWT1og6/sVPVn/Pc2oSf2O9fGH8NCrkOb
1NaN9NiYtzk4NJQxmHXVTU4Yh7wQLEwynOnp+b7d1EDwX+mCki9uo3Mk3ru7trqJSUr0ETTHokn6
6mqDrywraIlUZU53MyzJrPvGIC3ar4XH8KeF7w1folfF0/pvJ92OeRUOzJaXdSX1PxkRa2hm17Dd
vAf8KjabvqAd3rrmCj7eiOAlJU+xFYEOlpsRMOd+dkCwySzIUBjIx/HTzC3EoZKIJxSV4ti2HW8a
EDY3f86gEkcM9l6C/C0jLcNyROj3HVCW/mNr0Z3iSf5IQYIDlwFrg5uMaHcb+pgrR0VpH/QVUrgp
T4WaW3eae47tqDIRODqvqUgfNlFG4rbKydvfKbaMrLjIXcyqd+q2ZS0kwDODDPOrdhYw0rC+XF5K
TKs1CYNOqVKXU9VftAxP8YvWpcBVg8BLUNsywmB5AdIJGZ7wuCSe/NKHoVXMhw2YDhJT35kk8dlY
FIrcwQy46iEKxyA7ga/g/Cid1J8DM6F+Mnwx1J1DVu575ePmuX4GgBRSb04JmtiPi42ITfejbx0X
uYeu4gESmB6bXe269R/PW1WYawi+kuJhj7+ZElvJrwM8eaE0vcH9KB2le0DPn0KbQFowdklNPkyx
lreBJLqQoPv8FiWp/sPth15tmYxJEE9JKgdQleu2il3JWiYfKI0jbvl4MkaKSjwMPFTGq7igyvDm
WSmLzpnaQ8Qxiv4UAEhW7e2m4r89Sv5mlq05db9tgB2ZeR5SNmG98mfmAHlabArCZFvDYwjY8yCk
cr8HUsY4to4c8yZuWfMfNrlKSCVsBSsqAud4zs5qYofesjskjGwzRWG/Q3vWQw04tD/h9Q25S1NQ
k+7LGPNA9GsGz6toEM+2gGBx87QQOeGKnJ+bDxCVfXRt1BuiD1hoDAjoEM/4fbkSyKFxkSG6TtfZ
jRa4impbohhDOM44szBmx1FSTLpo3Uba6yrTbbNZFXF75At0uAIB6NeK0kVz6znyDXgQ+7hL0Wdt
I00mMWIVUAYnVE3oMg411ayIoBfio5Ar/GG9xx4BYIrPtZJN4jVXXeuxKV9dVNLZYDkrGo7i2NOl
vtJowtFfph6T5WoCWTTfXJi/koZzCop4/7iS/4wgluRQkGNBhviFpeEMmT0fooRtwwTDRv8cE8wf
xTzyeV2vQ20K83nr1QFFir3tZYu7LGRMk1t/TuAy3hFbCqXJYOAtQ/xr+lgr+3m8dgvPwnuuR9h4
OUecIJ7JsvN5IbCIQtrQJdHGIRTZGx2WpRLOjalV8IyhlrTSd/fSk4fdF/erxyiVp8h+OQY2tBiv
f9gu9UdlErDqYBu8pY5GpXquKWXk9fm/k+2Wy/qJBQeTAfNmrSeY0eBdUdAN5MP/LCFaAvW80Xz7
Ysndr9o4KvQ6fmSZZrj0WQyQnfpQhwZ7V28iKQeTR+ChQw96vkOMQZiVfxanMgokdtmvW81Tkbrq
nWKnk2z5gk/FJ3m3X7w+qR0cGXG2tMb8aeQuhkoXrMr2mdZpxPhfzWqOiqcmheJ6QgODj4OArH4U
X2J+1uZxnrMgdscE2EOXE3DVk6f8+utJ4fY51TAML7NH7XVcKy4pf18md5YoUS5JRf2Qb66m1Pju
TbSIOl0Xcjl7i5PhGqemTKd7G5ihqE1XQ5WwZZ+6NkHmAfpJyTE6a3/oF8aM0SZOEooIt0w/JrKT
t1v1G6AedZyz9PtcNvP7h73QODFmxj3+mksiQEX+VhokdkG3UKEY+h+M0fkXg14LSBhHjWS+iac9
4dlaVQuq4aNLy05uHWmbUfvmUSKL0BfMKzgATmQ66ArnxRZ6WjU0qDcMtecL7h8hc4x7/NzEErao
JMVBga5VqdMnTGcvFlPK6VBQ1Bw0wUfwtYJZsE55oEn8WhEL9nkIMQD5lIpRrySHpdeFv1Z1Inyd
AYz6zEGnYda1l5DgR/lPvXMBEjXgM9nzJHR5I2Ar1K69ejiu3o1AuKNALNUTvI7q+VHrrGUVTY/5
AbLConSugQqqTakbBXjDzls5tdmY636bif0B4/bEcfV+X+0qDxAfgubjZ9Ni9QAxfzBbuq8qjKBO
0muNit6pUHFsCM1Ums0ZiseFjZnXpNrUH1RJr1pZ9MRLPKZ4iDEvmkYLbcRyt3ovpQXEFabDCQm7
wVCZvBFb66F8dtwNl8oplTtyq8eB8nOCsHhDvZB1GXA2ALZrxwA80urgWuqvN+m12A5UKwAZHVOh
cYU+XFMumXF/9zraIjld+peODYgR57usd8axlXEh7pielCTWRj1+XWysdH7jPocF+GHjvOUJ3gDx
7UmGs5iloDYShbR01vuv1SribD0cl5IpUuHKFOWsjzCXPiGAEp1SycgwKqsYBrTdN4xiEVa8EFIV
GiypP5EF0lkF0TyxGSffXxp9HZIk5xBWp778UsBAj/QEkluPCd2PIZ6oqU2oCloxZ2UIPadkIdVD
/rJa7YT6Qrd4QZHij1MJMqnfAnK8qibxjsqZmzT9UuIb5yQLLAuh/m8EDs4yJUHkGdGDd5vNTeso
/Qgnppl7WwpKyHda99x1FRilJrMW6BwBIJoB+rsadYmvHcLbCbRgfs3QQsz96o+oq/VzKaThJSCt
/LNHuQFpS3DiGxeFpkpGYIZtqw+H3zh6gCdiUB2Xjb2SCvc0WxCKsk/2GztOAZmWbfjYmGRLHLqG
pOJBRFzDOjO++NwbtMtqxGaJyI6/QqTYbS1wiexXGHSBZX8XiS0b7sRAweMZKxYwHBKG38DOXi3O
lpEr9dCqNZDwR0k6myFkWeeZthTiyyMM65KSAuYBqSv6rr8ypXclXfFzdNlrCyD5X5djklzpC3nI
k3YbzZmXKU+3Dcob5O63u7wk6XIV9+ZtcSbhd7BE62lbmKqos8t0Ny3EEzUWsn/cks2RdONvllNW
nf/Jg2k+gr5I27FhgsKCgYqG3+dD+X8+OJ6y0rGoP5CfB6yU+s8wSqk4XI1emDLduEhMjAOo17kG
UxB4+i/vC7OYuGbO1Zwkvpf7q5Glp/ZMfe4i9AscS8Qq3xbF8aME/C1JNYQOnS4C8OWZLogl0FwT
4Rt65sqmxHWrmam/aPg6jH+5XGITttRftdPV6D3DTM9OUTGLeTxG1BETisSltcTXmsRvHApRM9HL
iqOegCytLZmZQQrIc0mngLaPHCG68RbzXmTvoVXDQ8Zb5IWLE4DbGAljdDdwES/gUvgv/498Tssi
oaFjBA9eDrWb/9xxzKa+LPVdG6c7iSRYlkoeyyMWQPVYSl9d3FBfK/qpABDoafEsrUX5ipBErekm
UQwyeJ0SkgrCi9G3Id0I6QAPwmJs9qOM0P52G6zMxDxP9nzk9fOgiEJWMyMrxnBq+bNMAuoyzfLE
o6XesIxee7rqpUPaV/kLZCY/raSCz8v+q6mW9LLNvryjtC+huDv8NMoA5Ah6xhaukteJoe7/+p3a
uujt5sC+smtglcQQyeCCc4JNfyRfI1p5CRMI2aEnP1Ym9AiijXgH5/qgjB+fc4NEA7AdNP62RTm9
r7o1jA6mJ9B2cWu8+THhRRB9KeID3KSK4gvuRCSuQBZ/Zyhdl8moKc6jQxzqoEHoOqZ+JzwSpxp6
pLTbWnGnrvWwZ8RXkfPUDDjyRVRrvIGGtt2BYJvWS+PBXJmVkWvQtosWCMqly6C9NoZeG0sHgU1Y
eHjA8I2DCVu0Khvt2EVlzFv69AAI8VeGZn4+JF6oWLihC4jZ9Q3U/n/Qn/AdasenEhcrqe6yIWpY
EiombFxvMrF52q7Qb/qytwHnbAluld06SK7kBNbmwKNglnsYnY0YEHls8Hi2fO+OwbVhWJDXRiYe
6TyyKdJnUyHZSYmE89xeNyWGAGEauxV9DgftwiqVREbwiPVcP2Np1dwy8Q0S9gbkNa0PJuXty5y3
fWp5/mxF/4DbTD1AMdum7//j32UE7exdxWZM25DDf60myjrPqUbHyYuF0t32oMmeIYBEZdzMfZ06
gcwkPDUn1dS1cdpDK8MD1ZhtCS/TCswCG8IyaXEWOTDoqxHIXzF/oiHy+xq5OtcBJIjOdwOSEodZ
09aTfbFE5ToFeHnyenYmlnh9iKkGNQk//j/uSzkwRQ4AHPWD3MF7kRR5UpP0lHOS8FdOXnCA6nBd
Sd/PH1+aIBxLgqjSWh4QIJ/FJZs+p7zGOwRXR/rTAGcFwCeRmxHZGqka6ZjYVmwqtWe3ahLkuVjO
A1+bPcirqN8WPniUaPjoxo/1ZRM70IK0RQ8Vr0gzcwEMY/RnYyyy/owuXUf/6WdYgS4DmN+fUTsl
oZojRkztdQ4iAMzQV2fIYINXZnNcc4mJZ3LapoKIOyWHYr/CkWDeMN3RUgyppbbBkuD+Q3DCDLa8
mEdUHogBKH6OqX94rJKb3DDKkoR+lcuI06ybme0IoSIxZRIWWb7BKYHOePUZE+z++4uVcaYgdwdQ
Laow7hHbN7X+vCJfwRaAdh5/YvwRRtnwpsVgRui2PnjdR9vddnKVFGru4hTGr/NarFS2fgjv7Doc
3m6J1s+xvJAT/rPYG7K6guxKf6fNjAAO0m4PjNz2dYuiVJFGFfVC9HI+PqPsdq8PnHKGYiums10+
wMo9hXx1U4ObSmjDdIP78VR0o+YhU3CPMBst2Og3vb98SeiM4ksR9DKCl5EMGuGV7Ihq+HWxJETH
fcvihuNJBadbLTIiLWJ2TZ7cZkHcoeSL27ASKUlc0YwWpxi3RC3T0GHw2PakwFTKmHMWi3/4dbN5
jk4j7eM3rEzCPkMZ9brlr6D6FhZrmjOlYEkT9vdz3GQ5b6+7QR3mM/ZcjM6UyywZIcxo75dIpiK1
IsRaht9bSyrfSUtoZAUxjPgJJ8adeplGc4ObIWkT5XyRL0ibLAP4wsfok6Qgvu2EVuGm1TXVA96y
b3EWKroQM9j2s7ZWzcgMvwLpdgA0rGRr5+R7CTf61/wqKLTHDexxzbe1x8q+AkVhM+CCRNq3tZAi
tmGfvWnHceilnoKOFCIpeS+frrA84soT/OD5PtxPrIesbxaYNBHqGf3/ZwP3sMcuTZCRHH63rQAO
Nexx7nTRuzsQjPQqLFLFWZ/4T9fuQsX9ZuGWlGIaxcR962WjhoazVTH9WCRVLFrzmG74v/i2RZe9
anxMAtY+LVGv2UxNf/dkGXmMKgB9xNFUXl4XOpmJF3MFXuCroNqScEngZ0fGLE2MLtAd3K9wWz0N
ZDOCpgo6EcZ3+rY/syphBojuIahSfIPVD4scWPhOFcq4eCG01z0+VwIXx2a+JZaxbXv09J111pzw
ykZuAZ4ZvSljhW8+KAwtB/h7V4v20+xCLauY6XWdzO+ZFw/evhJd154DoVKYWtSX7BRtAC9g6gLt
xRvDx1Puh6OjgU5Q6bnWAEQv6++j3ul0RBkb66/okTku+pBNeHNliO/o991aAhhu3ZfPYBR3BGfb
08beJv0txE88/zU4Ctj0ACBCeCsJ7FqtAftrf6O5oMOeh2yhW4gMghzgzvG5kp8YOWaDpH/cFcpo
3OwfMLa9pkH5hsuoPgWlB4GzkLOie9wjiQDFspbUAv5gG5XhADI1Vj0BxMS3fLjSyugyL7rBJoeg
FKVaYLMiVrAEQ3z806VfNfHzirI6vv8AguzADfodr3NHyBCQMeBjUWkWkItZ/P16o2/ig6xE+aS6
mnQptYfLumtIx2RYy5gt76Boc+Q9a2G3N/8XcBkpaH3Wgf/sreGS2z062un9seyqPrAGOQv28H31
+G1tItJz7QJ6eBLsuouieZ9qGSsP0fg/F+0ymE7+/C5IpoxC1KvUSBLQJWQcs2IYiVGVNiN9Mmg3
lqlgVHgIZvMxoFZyItxoHaY4+ExgzqJowpnXR9J09ioTFvOXh/HViL7hnZNco7Fdm0O0GvCrSrmq
yRNizVtnc7QV3RUEnR6k0pYEFPg5K4mJ28Qw3k1PVD+/TZHIQMdDp2jUL4a0epiTDWxaO9SqOcRR
gAdfVe9hHzfYxHMtytUUVLJXXjQK7B47PJVlj4RRs8QDwBh5mVX94DW0knYE9GRuXz+Jl8kZXQKe
jY+L2/ZmDnpZRr8kKJxINFaba+l5prWnXPUMtZ1VRMeDp8X5lj3f7wcIcW0cSDwWogXNLK9DkBCR
GJx51beXgeGalU6mlneV9P41Gb7OU8OixVq+S+AzqgsZVbDgElT5zoGA5DxcLbhWIHQSR0DYTx36
iNGHf1dGjAn4xH9yQHC1nb4oLaNtFViBxkiUCz5iZmhbOicaggeteM6Mx5ntFLI58QxTc4hjWuiw
8G+PrQgMfeCG6ut8DjLJt3/EWcVh6GTf5ULs7bCaM5aEZ5o4Z5BR3EMGvYMmpUkuDE53BncUSUqJ
b9xBDTuEgGEOwFKaXHoKFqncP3C+nSvRRohswQr5O2Vf4M7FjRkxuTVX5hcJ4o2mS5fvnRQFId44
fZSY0u3J0+sCgS+cLyyY/5HbJPWSWk/vY5uCSwnCzxX3YjBUtnR1ox8mMyv6orbJXDr3IM1RN5LI
m7pm3oRNByaS4VNG8XA2VksQCVNNKGQcRyLH2wO7iTWrhe1560T9yOFoVYAAi0rlkYzmjUdyFBxi
Kl264CXRQOrHxFvCK3uDfTTwPnVmMOpnpMec7AD5xSz6YE/UZb5c8aSoa9QfvDhf3HPyzLsTyXzP
8BgTeiJY2JS8zwP4tTHi+0QorgoIhKuvjbX1dZUtMorNUU3Lgu9TR9J9H6WzyI4pz4wphcM7GKLH
au35ojOUJvAzIpKXyPTIVMuofKJuh3EA17tsWc2kep6mWttpX5DxkPxuC7+RkbKAep7IDJjgFvSq
1MxwyIk1qlzZCelW3AcUWBkb9yYQJ5dXOL/6H2cIKKReLqrLGApiXv+hFIpP9OJXTl7a5+bWSYrP
YyH8Q74iFbkCcI2l6KZiIe31NGEKUaG/CRk9HcDGfdugGzNtRZuI0YI1KdtmotzYkWI/Q0q5atUK
6E8obAQuaC/iz//vETxEPulfmtnSvfKbnf3OBUjcfKl+EpezcczrFwmgeK0LvXjB1KWYzfcQjXPe
sl/7s9BO4biLyf+CMEZKV8SdyBF5RwbKBnCAW75q1PKcJD4hVeQqUWLle/o9lnoP8k6L2W9Vb9k6
257pqzZ5dyNNt+832fSSzS84677HIsEbfFkzIuETIqt41nbtD1mk6DD30xXrThz4lUfHb0xY9ziz
wwuvGKI55ZW7zmUZLk4L0jVOfACexnc+Ja/NSXnEgArDLQAMKEQHNYDryT3cdOd6lZbNH9ATMhBa
/Vl9ogrkUvItaTYkb2v3Bj92b6AatA2KK5qdygAHmvhkBxdpnuyMpfLYULMYZaWag7R6qzpG5Bl+
nO+lX3r4UYGVF6chXPjzGY8GUObVen52bPbHIKbTnDUF/GLFsj/4kD9OTxLwhbintxNMVo1SpxMs
s3d2RW0K6DTZWwPcf8LVYf6mBHZ1ddmKOtHqwP6ypMqSDgZKcntvIDnAFQSiohpjyESCLwjQr3PW
eFvm8Xw1eVZRwQRbhsFpeUe0I/Ea1rpQmHJartq8a8ltelLM3vXZOvmEwEfF3v6TxaeCX7SpYvcg
PEzkGVFf0YbENFxKqd+qZvujU++x6sRvD0TGsN+qPC/ZmW0Jm+SxQIdMuGq2vHa2rAthVYLw+e+0
RosH+mbXplRUK13DrE3tW7ITQsgDWDW/JPR+Kyg5F3qa8FT1MiSMYzDIwCiHEBqwgokzuLsjc2zn
tF7s2bBnLbZIc0MurM4qzYmJMqHBxSv+QvJzOtr2nvmrCvSNevevy/d9G4cxgfqkOVDz6VK6oYAP
O7SjZmQSs2hQqBn+/zpTKUlwG4xMrm949/TFIkULKldipUYU9tLaw6zKvZ92VKLEFhYuSK7txhQt
GHcVRe7hS10rC0OQbD4LLGOHg6HOUa0gIt4dokG5YXwZNUfs8/2hyFBLt2debTLnwaXdQLSwj8kb
KHdwrjOAKMnuGB2c84rC+ngW+Ct9YsUrDGc4If+zo/L5zbAG66HwKU4nA0KxoiL6gonH+cv+HPtr
x1/JCu8unFyW92xCO7zQVlfSorOLeRHB2adxq3Mal3RNhlnaas30CxBk4+3HQeSP9fwfkdzh/JFM
Vae13LNTTF1ZksvmT4wAQ/ZM+u+4ABLbNooPoT0J6kJ7tyegcOLVX3oCJ9tkyGdotZkn49U6TCyT
QdDhhLwhspWy9zqf9oLh2uN1OjA4iTTjyzGO0PA18mWEeRxanNbop3rYwKcbUufoGjZ4ssv4ALMV
D0iwS9gWr6IReeIQWBWLwo9AF4A76ykcy+jeR7P0NaY0xZnIg67GCIeStE0Gi2ATz4+zqNPY4x6g
HZ49vivMS2DNmVrd5FoofgjkPmf+27tlh2PvkDqFJO1QcERw93qePB71gMV086usTDpeTjsSQpw7
oKUR2Ews+R3hYE20/RoJDwKNjia4chURdeibA0FeLrAV4e2kiY7Xy9i3y+OjgdIVfDwtmNbJjIF/
oEYI9nwiNpCiOCYrOtMwII8UDjM+qyurOvDAVEhliA3i3UvxpBxZ5dcEwusGGKceAnZ+i4ckYqWO
25rC8jLEhgNfasL2+OZJv989Dy7Jh4TcLfk3kSFm6ij9pcpB5g3TBYKo/7Gt7S8CCpqJQc1bS7yl
LQbNDsOWGkeg/iLsLyucJkeGdzB97h9DFRzlwmBPrxjDLendHR0kBleaZnXlVDqVzRATGixh0AbU
CCYFclQsx/kSxwklIdtyfAd6ax+g5S5Gz8iUufb77uFSILjfcRbzkLwd7fB0Bon2NCH0ylB2LDHk
RiUdvSPz0lNj6Df+EVRFa4uoiRzrp0l/BogXJuii6LoErcS6OZVRDg+yw8KnXvxDZGEMZ5QaYezl
jcmMUFzw9cO1IX0UEorwNCMDAARIk82XWUzo7P65E7iCiRmsdKpc22ngFB2Ujw7oTkwOuWYU9Pmy
cQy4r/eNZEA1Ei2AG/c5Dsz5cTiP3ExAmIO9lyi3Tf8X2kp8Bh3t9fifkUT5C7QKw2T9iCA+OYgl
GbN/6wtxkXhTEIIbM67H7hetz8oMQxw3PWIU6/1sKCPtlfB+4qfw+wD1wADYlocE0lYbDkXbdz5s
gfSQeoWiGioq1E8EOxsHNBjSi2CmcpIG2NoJ/RDl2ZIBz4k+CPKpPzqYnNe1nDcq6HAiR00K6OAf
A7EGCS8Nz0G08eOc22pD6Samo9gLAdIdn/xtelFUjOHfd9bB5RewXhVemkrTVXq0w3yI28oqtJzQ
xFo4gEIWPoVwrK9DgKEYIC1E+D0EaYcuRNOjfCDIKZsegEWC2M1oR/9L+TU7OpXy57FGUmFMcF0w
ijOuILu6cad5t8ld40ztJL/uHBlkruZxITMv2y5VbewHgxjzwMWYv4de94vlLeQlE2iOzn5Omo22
W6eyqovvHVOxeFd4kAhxEjqvwedJgBXLCJasu01bAKqEw2tYqfY+J+vDOC/8LkFmWB7RGQAa4Zof
3iMKx0ByOljS8IH7Vl3b8qH6cu9C6yWR81Kkixih2O0KLGrwfdgW+JmD1IDvDJfYkDCLNRfxl9ZR
236AAgyVj6XqkiP5/XaFOZ4ei5rkrBFYK6B5AXky7oJKumiQqTZDJ7bh74B52PxuuAopdNVS/UiS
yKL73CwxXDw45eDvwIPTMZNMQ2987UGc/78AqDEC/YjD/W57LqIqZgTeZwr8Ixa5mc6GIcXW7fur
CRadcsQk/33BR2ntpgq1E/BDWx5MBmmYQIqtHI7XYyvaigG75YJBJ1BVV3iOLOtwvyrW9PkyyvnG
EPSvwpLCAWiuQ2udymt7fAi+VPvTkyhQRn4Rk5B8ol7/pS5HnT/S1umRqDHs4t3SjdUB8cHu3nuo
xJfB8scysFp6P2K4A8tYaTqubPJeJgVe42aqgn/ZxQhTwAx/ACCZXZ0V8lnCZQOIRlj4WqY8TvSF
0Ne+rTOiYvXLDoUMi2xmDiskMQaPPeloOOJ7tNCa0uLgcv3XuNA1Zgn+2lq7GC7yfPHJJa0VKDYM
MnHtwq1fBK4iF8afuLaFFOp1uHs3PA3NDfgLL2jrMLS1tdpACbORtR66YS0VEldv7uN12J8XWAhv
YgY+EgT1TJzunDdFMqhLWQI7szBFpcnZerQyO0pgjgQCbCmA7RQEoYo8mnJ4xTAKe5UvJF2fl8Ps
PYjdfkn+5AlAOCwvvF/aQmi8guE44w1k3wciGZFFMBcN9+q0X8S8DrBffnCJeDhvi2C2rTKHTN1t
2+5FAF1u9oEQGx2dlO2U/FXvsXsACoJIZpM0TdCMheU0FoPl+5r1kHlrVav7LnQ5lqSH3bhVXJZZ
d96n0OCP2OTpCo3iynDqt18CFFw5PcAwUvH2DPh4IsYJD0ftifsL7NxcJO6QNZ2Qx5Ev/XaHz+qt
/PCPvlYRKuymNWBxeyuPHFnT8PWEeTpz206sE1D9vB7NpKpWz7mJpNWqsFOETKy/OZ+/Ad1bXY6D
OI1J4sph0r3OHKqhvynk+zFew+xMlHvW2HBatzSXsqx/+MjLxSft5/jvIWMjCIghAKOEZEoBqBI/
11o7c9LlpCxBFlFxnOCuEk19qkxaLqmvO4PFWzTPWar84h2b9Y5SqGdI4eKqh/OF8xnYp8xzvr+T
hVXgBfHx1aNZ8bAB5sGnNjYSvdW/ac0MYN1a3a5MQOMezo1maKGv+dtHIvQsFWvSaC29f6ZxuEA8
iGhwvBwXMM1uKEGOWg4XzA3nUTR0nKm4bpHgcFfkqd2tcUEBTJPlDU5ZU5E6yUgINC1mFxxra2/U
C7Uoi1chZJhRLURiIeIrlx5d2cZk0m927oi44I290/TJ3g2Hb3Rhw14vdhRMS6Hov/003O+YhxCM
kPli6YY771sGzqVRyXgq4E8fqu90KP+y3a89Qf5gYE3b9TU8chFsDgb5e8PUyD5xl8JVxjYfmJlJ
bLODmoTehAuVKS7GDahdmzsVHTw1DTzzH9zUFSCOuJT9Ug/PpUyem79kcB5NMSgiVFsz9O5UGpqV
sCpCb7GVtT77z/KBbYcqzNZaYOPF6WGO1zd6EuGDsZw6AdV1lPaVINhwNVP3dRfQil1a1fEY1iUR
Q4sgJSEfPmkQhvl1RzLayFKChV6VxWQheCNIuBFmdoXpdcxBEBLAq81MyBpkNVIXsNClpsOvHoEP
Ex7+Eox9pY3QJ42ysxC95djYeR6YJnOMw7KE798eKH1lD9m676ZUDJp+XFFjfxSyLHr1svlr7RQW
nfZsqspKgCJD9xKFaLRNZi3JO6DUtBQvZmpfJPTeQsTsj+vb5dW4K108HR4n3Cp+NoEz9EstTIUO
ec7ijn/8llweF8EOxnZB8jX/PCMVZyOy2WedLfNZvi8MHxQOdoZ+HsXoxfVFjPL7me+hticfd/Xa
gjPKs1elQpo1YGe4rEu7bP4YRzi2N0zOLegLxF6O1/Q5GD9RXMQfeUIErwUkyOOugDX+BbNzegdb
PI18Z3BWlKfE8xwKdMfuRtnk19fmJ7Mrwr8eBotX10b0RVC8KGGBs8ubvTYaHDSJ9q0knzap4M7S
3e62AlAcqRLP0FgC5hY9EcfeMGwT/XNz6vnNN6mkizVojprGtX/MCuBa5Zdm7/OKdQx9rclikm98
KkW63+WW/9Z09yauS1zXa0nxLOtOqfwhyD54zcktFbss5vU5aFft82CFKv21FLK3xpaWodyVCPPK
wrl1Ih0bW5DrQ5KKYiUUu2aytUx5yox2a1fVF2ihP3nbVnHcVHjLnr/M2FxChn/5XJUwPQ8AR7D8
D3TJEG+6X4ChWMOVgk63aaMnRwzonCSjjTQnmc3aHoINFIsAoc9GxjF6GwCIYN/hix+AaJqJd1KK
oAWHyW5UI4AabMMC8RmfXEJdd2wtHWvjT03TkF+02lKhhz+FW/bgVQdAeUaaJr9eNqaFwWnL8HyT
5ds2mm/rl7edcN+ZOVftgKsI1khuFBdo6G+3skT/u5nSl0uk/J/lJVisKgNwtW0IqiJ0wVkHIfVo
Ox7Ep1RdZPpada1Y/Jea6MpBgaOUXRDOmOniScToyvMMreLEB+z8qkzUleMQuwBw6JdPxrKSnaUA
aUqBl8YPXCsFJ5OOX/7NjLQmMrlsCVWp6Ea62uR8sp9Ius0wUyYXcdU3lC7mHd/HOL2XzVvMh1Jf
aTg6NYw6WscoGhiviRLM/kfg7EJJq05nwk+Ofqb+uEmNakhuQklacUMJ3eZsi77KzDrT0aYYJrZP
c5+voCo1sCY+BnaNRf4ijA5aDQwMZt9mKevRIEFAUSgKHQ0cXfxJPKMXxfwVwUjDmwIrRW8yIuqD
q7ZBavxcmQlIaolIZZc+4UNTy3l5Kw5ZQsJHgklf6zT9Dylmx041vFwFWK3Vp3JUkm74NopLTkL5
01+Sw1SMspKUkEjd2H/84ZwG+JW86CwP2ahql/AX0God6RiehoxTD+Cjbsh5LuMpp4vOqqPiDagg
qhpU+GaR+NlMN4HOWO0LJRi2Dy52aemRtsgOtn1774JdxwMlkGb2rmralFWbr2u0UnMi1iuOkbTX
y1ey8nPWdOtFrKPpw/Amp5lFIZk3soGHMAJRhffRJvo5W1Hlrj9ZBM6q6RtZy9scp+G7nvvf2TsH
hpPuSrMgIiEn5DU6DzaWw4mOfCdCHZw8GFGwIBmEqBwTSDhM0gPdWAUdT53F6mWm/gZ59Dhq5/BC
9CmT9NVoSLcZA87Ix8ipk4BnPwHGhbocgfPAal0yRIOO/TTP8mBJ9xWzr4EAc9wPKHJUoWu8dJbf
aCwxbATY/aMlxKCSaUb0fRwQmRcL5uvF4Jt584ix813gXBRjNak7K7h0nDnV13PivqOKSnddk6EA
8J9kjuhGSJTwNRsu8nMAFm2eZz5bJxYyWDkzAPmWMD4704V8uoMer8lXamg+GdIpSCFeDlxTwQX9
8O6LFnvQAGzq4cm+xbHBl29ect470AbJoD2lPPrchf9ngBz5HqYFPi+j+9UcPUUlyk6SR7SSUhDK
So5Sej5svxJdawupGeuHVaBwn5ISLAe+Aef4F3ZAePx1Fijg4x/wXQqaafJvcKfEvCgZdH1xZ2gA
f6tQoHa/ZjN4yUZ37UMDn0oikkxg7QFyEBOFY9xG5mzs2E7Zy1SNPd9tkeZm2hNsU5qqxTJ/GLMQ
8FtdyC6aFiHRE4ZNsf80bHm2BI6B6dXlP9Ydt/1PW5dgVp7uydRYMrJvpBqdGTGBotWEqEnuV6PT
wF/W7KBSEcUCNhyPbQ7tyjUrhdk3OGDe5rItwGw6NfUZUJS8jPJykcvP0mPVjUTDXQbzr+nfmyTU
AEndqcjbSwm/83bTn6p8X4oAlct+9F89JFhUpkpOPO6J7u4ib57iMf8J8GO0cTGsManRHCX9in9X
MvtCrq3EzBBB8VAcvKHJcv3h4ps6msqAH8nqB196X207BVg1H+A9V3+CKjBK3WcGiQKPP1xsOa+K
KXIm2/kkY26GstoLZTTm+Xnc2xiJ2B5IYEkE2yUWRsq5M5RgiDcYoRHrvxhgweVIeRHYy48OCtdE
uKcJ7MFnMpjlRImzva4TxYyktMCL2z5YGDQBd64wBpXb8Mp1jRob92Iazzf1Wwz/35UeG8fyA8p0
9IMe0bAGW1+bKrIiEHAttyQoTG06UW9Ct/fuzV1YagPzxWsZG+VhzlgW2Gb8nM7+dGApTMdWv9ww
Ov5a8XIDSVvcLmn3fX37wNjA0qvssKwGU6MFHsK8gMxDcCStJawIgo0NlqIuoE9KiFhsFAYe13GQ
KgeHK3tSyRormJEI/hzno7AhujcgvNqJDOdFBrNdfuBk6URwbf6CK3bAR1IanobquAuWf508oYyA
YXjgKLQjilrnlcqq6MQg4rgiS8fl2ib9Peh4dM+65JbjtAktTrkC3BWqTDmR1JFkBig2p4bMSzo8
020+RV71MEYJLbrgnCF9A13C6xzQFtTy4+PUaxcK6qamqLOfBySRB/5TM9rOoG36BDP86lPRsBvC
Ha3WMsWbvpgAk4oq9TtjYCFTbw9moMwSCxH13ZgJdNiG8PxSHmQi7IEZIhS4nPOjc8PxbpISenNQ
AadQu18EvQi/TkDpxrpOYegKYq0HPFBeFZfXpRjGyMr1+M6HAaUXCbZKkgFVhpFtfrdXJf2Cg+v9
qHrPOHfK/xzYjphYRzWebi2ZctTCdOTLHEVfB5VkPEyNbAExRL8dvIC2mYiV2Cr2BKtigSGQDsfl
ZiZ4MEL2ve+JylNUDBnylzzd2Pi5hmw/cX9Fj3RtAsl8MpS0ijewVvFk9V+5ehF6FafUQ/egXVzZ
tif6iMKR5qDYIj9ZpGV5YI0j62ZwF/M9SzjilrQmXjqfFfKqnxfOhDi1oOu3fShWFIGtimNmWNTy
2o6PcJZ71sudbN9CvzVNV0IZlJOGc/4+yzByyOV2ddAz580LAC6FAHqOTC9ycxUKTJb8EA2DdfMf
49lUwk7GrKhqZ1+NX3fhg/1L0sUDFtkY94fNY11x1QLrV8uLZjajnNOxKz8x39q7KG0El+fLuvSZ
J+G4CdNVZnR8cip1Js/xdjtTrQRM3kggNFgbfRTRUf2MFSwoK+bi9exHI05KHWCkkgkC7xExLwAm
EPxYXYxK25So63+ScFN+z+yWFwNyyLlI5riI4qBSFzGYlGn23K3pmwVTNVFAZqSQ90hHZUsCE/B4
2BZgKnEIwsAk+lMCor6JotiNWOcrVK4SBa2TomjjCw5vR5inj2VxUGJ7CpIuM1Ncx8X7v2GA3hYM
w5x5VPT5Lu8I3NFoG7PuM1Nbg3l+nl0H3wgt+s6VFrpmJX3L/53FtGsHzjBbkcaXliVPkbDm+MYs
3j4wo8aNjjy5Z++YD8yu6BlErSNoBbnofDNDukOn+0//Y0PiHNyEntQaH1NcKIEy5+BYclEau9j5
5E/M1vKW7cVUA+nPMhdO7lkfaZaJEa0508URsOuNITaqRb2UYBJjbNk2WECQ1ya7totVbVHgMQ6H
wYpVPHAVyiXHYHrKLc6pCatT3+b4oQxJi1f+blBTjNY6qDcJ8MZiT8O2brgr7xXy84KXLccuoVd1
gPCXcd9FhO2iF42wmNm78xpGBdL8MwO5sJ9spXujVxsYwFRgBV8qke3UTZDd0SoX6q+D2dmX0VDs
e/FViHXLrqSkgTtZkbHVBRDLtEzqoWqwsCuHuSTYtBdy3wLKlqudmAxfvJGNaF3UrIuOXR7J7GOg
P9varSfEZOQbuTAuuNU0RRStGuxxZaf1VFmcUX6ERoZ7ybW4rOo+4xRnKuTEr8IbyovXbFSYm7aj
cIbZky4y8WW9/iiGccqaSNeEjCKKybl3mCQAyoSnhb3y3lJONzy6b9AacVEvMUzUACBj5RJqtGyY
27osh4Vg6B05FRt3vT+myZfuokrBHelcAuZTlXnRQFfxIrjOcs/0VNAE+OpFIc6+HSto0P9Hno9r
V2APSc6m8O/Qs45M7VcrOkJuuEBQgN1Iq+b8RvmWbm3iiOzOEqrKfS7mYn5lmNmDeUZcLRRpENA+
v/jOaSFSIynM1vkJc95opy/khwciDNvprrHWAYurc0Bkv3IGIeY5wBGtQjuI+2LOC85iUHOWXVuZ
1AdZPBslQF49EJkuWtALyd3bXYvkYz18v6aV7YuFR28DaNhcf6US+ZsulZ2F65E/Pr9eNfG8wwP1
NpgvDHDBDXmMAQca/Xbn/9VzRtqlsNtW9JpQn+pqxoemGaw0nPOBeL4xTbPuTRWOPOMc7DU2ojn1
/R8d20oQHKDQoXFZ9iVkTCChNZ9udsOwlIYulDBX9TihJiRwvR6eV5vyR8XKPi1XTGLyxNe+5hnl
afjubl9c2Ycrup0eRWK/tzKg2jtQFBkIdRFKHyAg7Ylrog4XOCAPIZEgMZFK4kyECSU8zFxP/KMO
lAM7nkgmWkEuadgwnPFcUZ42FeVd0nblUKBUQly6tyOl2S5vNjzVe3J3o6YSJIrTUqT2sbxahVDf
5GaVbuJmrpo0P1qweQGDzCx0McAZD4iXA5I4HITL+fdkbzhcq512QJxMgCCwtlQVu/SjqeVwa/Ub
zew+J+v1v3lUyc+8mLoVFx7VoQDvfSDTuUN6glEDrt0oXF7DyDUMlK2lFgPBA919Yl71oIl6XgNA
tobCS/kuKyXYy6DpD6wBb4feA+YdSYgfxjR0JJ43qZLa3OVtvlFvhggBqSqsT22QDUNJJ15oil82
zhgXtXE/U+mQVWQCMCzm7IgYRuU/0Td1qOmKLFFhBud+Dvb6cDrWvTHNupyM+HnkHEBMffau3CD3
qNJoFzWlgv+2eHAXSPp7v+qLOrqBulW7qgK4EJkjSGNehAiDlbLjw3yJs814GQL82SaCt+CmrBfX
qAkMbCX7XnZqmljYnyLwqbYREVRoG2OxaaEOJ2jdDKvvATSkRc2GYNYgr/zitkWIDblfPmasMoHb
a9SzCO25XPz0lYqm6OpEUecv4D9JS2gUdMe9NEeQGFK3MZ2+qeuRHAOsRz06BU4Q0MbHaXlGYFeO
h5hUu3shJElE6qDTfk2fpFSl6PtxhbZHLKTuE6DFOS8DGZpz8JCTrGTBwjuZVzbnv41JxMaRvyp6
eRhNP4IKOXtrXTmugsRF8gFjIoEGPQLY1m4vFiFfuVTN4Uw8ThKmIJXh+Lh8Cphi72b46NOVtmFc
kd6Hf+JlyBvBNK7+60AMPiEi5+iNw0swQlZrecYTSHOUXHYCT+wBPoJw33ASOzYHezf5jdqpQb+1
rnqyI4xlZLpRXyMemtqFA2FNtEAof9aAwZBBEB55czJ+1xByxot5BZLshXPD+iPooGUtA85hESIN
oNu3NlD0zwVHuAoZCQKcpFfd079QDL95SOAOj6YcB9TvaQWnrK3GYNDEeFJRzB+J8YEEHbx0KJqL
EgL6sWe9o6WJSk6rWy15SyLLtjoixKsyoGWz34AW590Mpcwr/0wiCkW3MpitCpXpmk3P2vxRHMjz
Pko1/ngw/cjEEb2ApDukDf75OPWBryQs59m3K+Z/2aaxtV/yyMoy6fVuFqtr6TrWxXXGK5kn24C9
RQrbodm/VU6cCqPkTgjTgzeyv22OF8QvuQnPX+4BzThpTNkuaNbP75WGaMWTwaNZGVbUIE151p0H
PddTG7wQ7lW8g0GeivokyEPkndRA8Uv5H9SN+okihBqDl3qz+UyJ7I72IiUCKQv96FElXWwUe2vK
hKVVy6v9eP49zfUIwzYowmQIt8dYq+aEaHb8IHmeCim3L6LFZUirGhejg6gQ47ySDXmi1g4VNfGK
GAsZ68KIoEAWOzW8YgdNJ9801n1xnQQZzzU7sEtOzWVsu961xI/HlHhyp6wi6+pvrwcaOeryxNvy
OdJJ8LUo+5StMDymAWDunFmlhhrJcYb959Nr5OzBebCEEDcmfwLbOzFwnQ8K0aYhoDl12tf0O0DU
ewPf70ee8/R5OEDFrirw/Sv534kra2DBDVd5c6lC0HktMxzRueZ7Xlk7xzCQa0NTvWDuD0F8YeWO
KL3ID4gE+tDGTqEWs0oC7OyZaobZmpHg85A1LCHJkq79QFK2iUpeszfywpNAWiaKxbvCFeMXbwkb
EfssB5iuB2lJsh2L7315BBTbRUX7BdpWQ2hDyjZmb1MeTyWkhOZB5ljnnmulS3tjhH//C1TNNBjF
8skK1y6Qv/oEBd37WbtansyU7CoPebN89q5Rh9hSPR53CXfQm1PWYhidrCJSkauQ5yN0szoq4Xf/
z9msaa47E0KVgOyuwRbupecl5tKONDxrpz4E7BUHi6VgxiT3HXY7fkHYr3hW0JNI67Jl8wbn1mVU
aTrtECNVy1yI6npk5QOSSpk3NwYmbgYGzBXVZPZUfD0Rrhxk67SYLTyiQ9cMyXp+CclUtl00hgOo
sMhLCekazlDMkDMHChF+9qPoCN3cxpfsYF+1XAUd+nSv5g6hRXuETZSrFWyhq3gASDD6mG0hZSVm
cUUHBQoTtq+f7zJI4DARiR9IaEOdHl2WyfjeDhpMdzXqk9R4aT5g62xPlHYQK+n+Eo8irsGU4LCo
4ht1qTY6ZSV5I6syKjJrt3HD+WWQ7KLir0jWT17NsUhVzWtC/Z5R6FKT2DRtezwBO0LfKpxcoEc8
q4xNA8xbZQyOq50rXEcABIhStuLLW9SafOzbedJlSg8kbYbTx86L9O4D+q5yA3QfLV0/XQ1DJRdH
18mleqSz2jjgGteyf75mj7a3liZxbwbG+ac75nSc+4oKkM4kESs414wbZ+ZBTaUQ42ZH70UGAJVe
R+m3oHJHVIOMwrLQSXMb8hJ0oLknKHK0e/Is5eBJ9L6RytfnVuwg/kRdZuNGst2+L5uTk8t29Q8c
npiiupa017w2Nm3y7jvcON7IwLHYFAgABw/o0zc1u7CDZTMmJ07vjcdvnS+pRlLrPy41bkepxdBk
OPXIW1GjOIQ+KKhELbhDN4YOlOca3Xx55o32y6LlUEv+kC2xqbxWiiR07hpWsGka3gjZjxKAXs9K
gA6NT/LLosNK/H0yuimNLuj8IRfO7ClzpDNN5Dc37w8CZa4c4sy+qKklKldOQMtkOmUSY3Pjttsl
ULUI2EBWkU/bAbp3sl9scuRPFEArinvgZ377Kw8ERl9zjcO0tv4C1GVLsBVcI0JMspHnsjkZCyx3
HD2/00ZOWerHx/olnVAjt5J0A33NTSFTyTnNJLMQYljfipOdZ4HDJYca1EnYeCj8kzZ69tcYjRGP
Ka2CcrcTWN5Va2aOUWEM7nbNNhZhh0RZod0/XcBwDGzPqnNinRSqCaouKY2Bd4d7Mh64GTF6+XTf
LNP1c3lmRVUMAVNDUOME4WqRrFxtyKimAoJqnTIsPBgnpN3gdHNIFuAp11hM+GfSSJtJuAppXkvY
VMXFBVAHrB0Qpk0+tj1qA/iJI3gQFdQ9VPQKOg69cuCo0+vTDnBfMLOq8zjq2rHKcmY5mfym/+6D
8+nQHk0ds8KiRAQp/VrtZ2EabPGcxGsaEbbI3GziN9ZJhelONEKXUuJ3djzlajzspQ1aj2pwxC4U
gC2VaHUTl3/GIPEMqb7kA3y2BFcfWNw0YqizczqFSR2kHnuuSQFJ0q7HHmGXSbz057O16v8jnIIa
2FGqqLS+nW6EBlESSpTezujhW1GVY2LzEE3htrAFmFYyAHWSL79zo2XRfhloBZ5EkmhtErlsQ6f9
viE5BRLPkyHkN9fWsAl265wpK+N1tzHwzWpqL/W+FCaezfqKAxRm6VZz/SRpVibs8DJunX229hMY
t+BfdjLP3roDn4b/xvEyKJikfYuUkTy8CJfl3TmD1W6VFIY4CYlLt1euBCz3NCTeDiK4UPCXzkwn
OrqoTZLscOW7KgbFR6ROiRCQvWOLHJIXKfS8WZr1M9SbRiCVBy1FQXyFz86mFMSxc4WXdq2As4T4
PJ2h1XjMWam8AppLo+ROW+L+pokb55VJ2iA8umJbnTZ99C97qE9u6NQZ+JI5rvG/4JEmtK1i1fiv
OT9hUhN8vYhnaof6PIpt9BKRiAV5brwFZt2vjvt/1yIuVlXOxNKL1NI/yT7odgUp1odFLaULLD2J
N4msX0MRNK5sVrr2etmpXPXuKoA1VRV1a4G3yGKxSpht2+o4/QaGBet+fzTX241DbAwexeFRg6Hm
fQseYHQ0es0yCwpmJwAuqxi811JzvlmLu5ZSGMSD3oskkpnZuB2viIpl9c2j0doNYIIJzWdhzTx+
ksHwpUgwCua0xO0h37v3GLcFfqNfKCUk4QXIxPu4JZypsInUBxH0FiteOJGEM8+Gx7emUC4lSuNH
8nS6B4JfjK4L54a7zqhxVQ8Fwh8vFlVplgtiv5C4SjHubWknTc3qHbRGhykymETkigtuNRQkFdY5
rYOQWSA751aRbXmgWjqDbiUM9/WW4wHUe4rsNeJNcdcYndQk7KvpCJqBzodx5TGApbySHGZC1XZ7
QYdzRd+zJv3yhaLiDxXT7zpy3O2xEGJcYDrjTSIQyzGy+PnsDCKolz/ZRi3NOSMXvdBI9Nx7W54N
SAMJmj5+gEYxANvMwZg8jxktfzm6XpSYKMi2a61vAmKm0o8sMZgf8IILmO1SDldMakaUeEX3n+08
EUB/Sd4sG6emzw+2te8h8NytcOeovYVMBTkmNIa7gv+Pnib7e+OKu5FELXvNtzxGzXKHxLknmXjW
oyd3NkUHgiH8lO9WQnI8mkJQJrhURJbd+jejxDKmAZUbe6Mf/FxQxjfW0e7k4KDKMyGx2zOOayw+
LKd9aEtuT39M+IbopaTc36pmugESSQwTuKTc9yI335t8L2jJqJ/GU3VkRyptk9bKPowqmtPoQ8aL
L7jKSPEvSjfoGITPk/DAnif7mKxBGvZpzZxgL6lKFI8/cOo+1pS3vZD6l8H7jtHPRFeWkRGI8KOw
l5wrVC4ekK/fVDJTVzcf5nHDLGzaVQJHslktqsiD0oWw8iQPaoUC510v8cAXZGufOs1JnpM+1Olm
LtaEJLOhOo6AJ2sHcW1cSUDesqS2aFeQuhMmnEhHAbkrGes7RQsH0r8BtKSG/A0Dczq5I/DkCnhC
aG0O3T0niy0nAtlMRMJCekx2pCc5eqHFsziaEZQKGNTCfd04qZ5F5fVIrgPTOhJnYW/Ppm/RF28S
ofyZp8ozso9KM0NwSSyw8Ep4Mn0q2YF5fI1/j0shOQL5Tzf0yPkhQHQWEX60kVKOE+m89J/9qo/4
/6Ve0VHfzeNYBe4FTtGc0aY8G/XIEBpPTZDMe3aMGeco+cUy9Xap9uYCJ29D9mH8oX3SdgOqq55y
vgC9mhop8/h8avtVtEv/0XoAt2pVWWQHE3l1drfynPekg7P8rrBCswkBuvaDPw7gtggg50jrntgT
69u7Mn4dYJNIZrhk0Gd4LgOuje48c/0e37PO8k+EkW+C6GcnbLfhGgb6QV20ehZhPChutPff8ohn
FA0zQKV6s0jYsI0qrLY70CHUO2KMBySWZcjegmOFcMxW3pMfiAPCnGVUzcE/p5KvCWj3MPfhPtyh
dWQX1xZhObZmvuYmGNFSE8nfkomD3N5iDNAnc0x1QjPZWaaGuOcV7TQYA2NyBMuPmhglV1aCDpDF
gbd2S+BPsXmDxQroGC0yCeFW4rsXmk0vK5j3I0ju3uxqD51Ulz/4ISMGE1mfq52H0h0nPRnbUf/d
fnVRxg9XlRiAU9l7uDuW2VhRp5cDhaF8mbXi++rr05OBejhSt4+cV0Qgi7g/jCMMsNYo+zC148n3
8rhTwG1tObpgTN619glthyFYs8bkXxXYPFkb3BKP2g3eq0goBDtcCDPFGAnBlCvCjd7sRsl4mnLl
y9YQdaNxOKbFbIEmN4shb7GwWosFA23Kz78rwk6KRrqvMxCN1N/gBGbL+/3AS87pGtBs02xYQCWd
eKhaEY4oH7uIrmfS1PqHzTty0yiHYaAZFWSxTno9iJjHm/g0D3hvCIF3e+un3Bj3r4TA2rKDow0K
4Zk1IU71fyeZzjXQpQV05mL0WitpmuATR2cizXQUgcFy9VSaXzbc97rtIZvFXB2u8bGDLc715Lxh
wCNCTTBgRCTuiS4CuKjCqiHgEY1R17zI1eV5aVPhJhus3HmCzFfCu/Ptzei3fP6Ri/aZK1E7eTVQ
oYWOXYoyNAZdAqE3VEFEXW7mjoOvNMrxcZNoJ+lmVolfQXaEMts3ToSvApc2WlA5rNGFFUdKiXyZ
k0jDpcLpv+myYep5r5Fjn7F2wbmdyvTdY2Jz6XdtQTtN/7wnNbLO79aLyzUcdRmRG8NU0Zgr9KGU
RTRNcChoknGL9SEW0VC7S24pWcRFeKgyaksiT9h7JGMw5CzrbKwXY46xVisOgAAgp4zXx0lapXXV
2KK7ncvZ6G/UzLOGgc1yBTT0KAtzgcRBiUUU1WpI7g55W6Vy5AR21Ww0Ab4PwErEHskYGd2dCJbo
+5mjXkZgNVn/nzRWiu3EyrkUaw8tWQrI+x6pI4LE7Xd6LjL91I7BWtROfWRrK1Q+KczpJpUOzpzs
i4IWYoAku4zskfAYn4biLkWXMo9ttrnZcTaVrKZvwlVQtIs2x9sCa5MNt8IYjz+GDTRgDDFi+506
jwpo8XyTV5MdeVdeYNSI7GarvTiktlBkkVW6V7uzXi/nCf98f6IXjjB3tY5eOx9ZKJqpvdsNZgW1
dCzMffZ0/lweLYbyMf/Y5b0LvALYKXv4N9ZMp06NEtbEx8GaYZXJ0CeQw7SapExelr5eUIRt/rhZ
J+CH/GB0QLum2w5zm6UouY3AF6t5JmGQYhAkb0Si3+MQig4DQq9oWzUgZq6/WuXtxlI9eKOI6e23
+dNUHUrLX1JeTjgDdBi7hJJVqz9RHglERmXR0i1lAJOi5Y3wXYJ5t89qeXwOSqsXSGb0/2qlvMUx
fpNRnPzXM7V2AJo5ItXaCi2oRqndHd2PMLgFuM86is5pVM0aSdOj3auPRJhuYuGonTkPQOeOtBeg
6QCwb2ssXyfFg7en/zCjlqF0DH5uEI+RZrEO/hziZ6gCUhH4Gzzi6nLChimNPz1OgRgtqa9Fpr+0
0LoGdqR96cctEfgOMW6ib6NfI31hu5BMisq38YSQUwdqlHAlpBxKksubxpc02cQSljQy7bVqwxkV
7hlEGYZdzdO0u1Kg9SSiDyrYSyomdBWI5D7njt3PWGH9L239v9NFZUxuWxKqfRkWHdYuVcDAl+ef
lpkFKnO3hl0G4zQtHfVzLneOgTGXDbc8sFx3kScAxHQ0fB5unx4m19LZdE+YfM+TFBJ0ZvyHzJwU
IgwyhIpik2n0qwTsitSwxlCMtc63rFRotTyAvhF0GZXF4JvyTOPbzb1ttJcgeAmhsTi0X2i/UCkd
bmIiVaCv4ZLw61qEju9aBEKWjiKt1pQMTb9Gd9nKbfXUFONjQXTc8daOzvZF5Sk/fUYmE+ocI3ge
uw9J/krTTpHB0c2cFCpl19sLE2UB8jS2b6WPiamnTcQ18sanrDnZDZWaqV0S8LowfpEPHgURwtNM
tW6jkbAfuQbXy9BxYnTmi9cTGageCKgsgX/hR3Kwa24Z8QTe0LPMW/NQMG1wzwKa/V8uwshc25nH
ZoI+1RrVhw+3C0xqwloRNtWN5WEJmKcM79BLGwdOwFRooK9CofbNNSH+0/S5zBUh2DHXvppGNRez
YCv2cnW53bDRCT1lpo5wvDeAWb8zhUpR9Dmr5Ezfjte4yUdLDHU6Aprsgw8yvlHHbLkBAi/JuT/0
eFrlt/G0J095X1YXwCH3LOImtxs8otl+zvlQzIli7vhb1ohx2Fy0YcxxcT8y2wxm8BZD6+AFG8xQ
zRgixOxKRpFFn75YS1+Pc83W9A74Dubnyvl11N9BGUPjXkinr5k13I9OyEV85tyGrzzE2vustfsJ
M0pjsMP/cQp9xtEaczaFcsjJJBtPNVq207NG/VrynZG1gkXkSv3XVufHwqBTb89GRKTiI3b5qxYt
3ZPoYotz2cr5ldamEqzhVPulPFMKFIqBs6GnLh1JgOuRpOOX+t4xo8bg+qkXzLNikZkGj6GB6Dam
bRzPTTxFTYRGj72u6ToXPn+wsPdd6EZGazUaQPju4pPe19p3qaZRM9O//eDbASIm6ekCpPy2Efzr
MzO6YY91uZRc5FV3JqHqJwRu7SIJt520CfCikt1f+aBITXoQWs7rz2KzS+KaJduObDE3D3PZbY9i
ybljdx1m9qjj2EsNf5PPBwMRpngPRLXWC4BdYjxXyE4HXDoh8M+EcqIJsUhE3UPDfAskF2YOrIdc
3fbCpUAUqFwngwD+rLV2u73OlHysxXSVGStB0rT4Tucn+C+2wvDmfpOrPECX3vOrpsJaQC4YeCSd
UUDbxUs5QOHWz9W4V5NzcW+RB+UcrcfzFrwW5ULoxNJ4N0aoWwt1dzDbbJ8e1EDT/9DqhUtP1Nu9
Jdf4q+xxuXdbJaGDrlyTRUk5ayLJVz/V1+z89gGPO5ar8Ts2orfS/YvWmX19/ls1SVhPfhU1v7i8
HS5oegej6caIFr7Z/W1Om1SvjdIsvnZeJHpU6TA6D9ENkxBxuftxGxosFp1uJPArkCWvqmWJFGD5
BExPGkllWEdNp0EQQTpGe8ceeeSVF1eC6Vu9WwSvvUh9WAbLa3IKaFuvjpWERI66HzPPYddU89xI
3J7cmB7p8IV6FvXurl5q0VS5XPF4EWJ//8+PzN9DnNhj/ClxiKFvhRNzW2OA4j48opLvKLea7IDs
mnb+7m+E0VhyyYNIQZtsnW2xlu1ujM3pPgfyvJVeQNTlzu4rzNQGL7GD/dhPQQxrV98/dWhNvkzH
5Cwg/Xn6Q+KFnfoQxC2loupNV+qc16KKP0xaCyY7hMtBMbGlUdGB6FyQHJffqQ5BpQPr630FoygU
RM+Ru1Nr6fdR2KumVrVQUmk6qkKvf9PAvoPyGULGisTytwhhHwzV/B9vfMoYE9ybaLxEZRiAavII
9seBPfJTcqWSASU04fyz85hJPXK3E40BZdJlZwkbkekqHLO1jBbpwWGEsnsyUUnVcZceJUAgf9ku
BdPytze+OeZEyEBsiOtQQzoazyd9GgvIAcjFIwEMM45ptPhagDntFmj3Ek4JI7DdrjIF5vP5yOsI
2BF2K+X47GkRk3rycqQtmcznQbEGkeCGokcecb1yGsPOPeSQ9dHN5XJociysHf9IJGwmc5MHRnDd
u1Y5QImo/fLo0vyvR0fTBDDzvBEUYyh0rP9RXdkCh6x/qTPrlg+ztwJIXrWOioPB2xgLN5jTq754
tUOCF8a5gXHQ8lUJxDl8dMTDq9ojLRq6dKY3Auz7oIoFeiTVfMYuaD+IWxOLM/hfCqA+6aPdfESg
W3SxXj27Sv9NozJ6kVWIrPyVBudpIZRvA8HLXxHv5qxUE/B0+VQ/RONDluVng5NbhlIuhc2MRAf6
MPDcbNO7Za3gV0Ea4cbXe6fCnfkZdU0kPb6DQfPUgDTQCiEsFsLtiD0kDhxUNLJW209SFDIk1hDZ
8Bc97yfktWZRd0ecym/ekv2EOJfT1UA+7K6Q85xxxu8TTJ7zYX/36wqi/9fUDti/H947z9FuYwWF
mq/iUmu9J7AoFIga9MWESa0ZIXJ2uINEOrydxQ1zLwUgsNYYKW/0yhMtZ9O4Xb+sJSwAhSOVDpJB
hCnHdCKpI+V6JYAeb/CgYm5X6vLTb++fCqbG10aEgxr7dPb08XYPuohmg9Luq1CsN0gsNVeFohnD
D6wB2KGjTE0S5hxwL53HH655rPe+t506XcEL/LJuJVHcwMpjykGhx/GIQRKymj+dnPBvHqTA6dud
toZQ0auHFJ/s/EI+xUWjwSBioHrewRD71tSU86ZN7NdfmAfN8wsofRS5qlSq88E4a8/70RDpAZjO
VBwbVU7h8tAbdv25tYuLya7C/mD9X8Qr4iLG/3nek2wZ4pi1swQWsbht6aGC3ptKZ53m5QvSh3jJ
q/r0F19OmwLE8gw3+DwWYQCSjpeQYogDqYoz6iaA9XiGsq2zN3MeAGmvWWTUjtDidjuVg2yN4/uC
gspekFv9wWIX9bl/+aA1xep95Xzo+Kfxw16gFZ8QBXlN4Z6tvDdDMO1/VJ1G7udJ3U9xavp3dqtr
FyxbfhOcqeChLnI4InOKuIwpCqF7vSNEt8J/2sIeCQmrDW6mYBy2Vr5vehZJOrVzVuHr+GM0SWxa
EfAu1YoQB48Cg5L1dEHMXqaf/7+3mz6DUdLbutTYC4xeVrcNNVaUMAozm2B+Dox3b4DU6ZfSALA4
vIbcuiybApnFiN6aBjejV1Scrl1nY9lEIXkN6axj8eIHLv7Q5nra7FjbWhqnq0a9hndInrW4vEAW
A50IZQauSYhk/7ciz8LM5uUCk234Q6IgCjdTNm9AecdHtFSC1x41zaZguy43imMnnvFVq3Uh6uF3
u1TVKGzBZZ+nfSbAX6pY+4zf9FqswaHUIqmXA75yDLwk5XaHEFdU36HhE0Xm7rw17+uTzKk+hcq+
+b5GaiH8s74A8vLb+GK9gcpdHDqxfkcTdrXiTZ3sWXh30YSG9cPJJsTH20ksDXarFczXrQE0/NCN
DzUsimCVlxysYNBXQSZjiuig8oyu1ImkxYUxg/YvR9TbnT1ai8ctMQ3farTJfGXKrXZY/F4xvHPp
RrTK2bYInU9kZ6m1jcOU6xOwaR9tiTjF0sW32cFhw3fLjBcZ216q5qXMtS1ZCkz2hxpSrO7D+ycd
LHHa6B7lTu5xIpYb+k44QJ/ALx3raBVVZHdCdFepvlpKbWRzVit8z63/8D4EUPMy+dCKatVTw4aB
U9O0TFEIaN7XDt4LIH2dD9aYdja1pelw2BzTDDsk8TZnVk1lCP8a/bTN36TRXcihj8H4Lyvrn7vz
N0mg1DPUQdWmV5IXYA6JJaaQSofbaxHJQgAVi4ZQ54oOozNynyvXvoOgUsicWAAP9wqGQOb+duNZ
DxlDXI2NA/Yo4ZF4OHfRpHLaSqd7FwcRc1cUAhx0ZZk2sULrY592dT1K9qAQPftqHkIjS1vJ1tEU
xxXnXMz2BxOqX5lk5hXBtriqbkZaM8nwpca+cHnAIFD3MCE1WClKQfXHIb2PgGEKO8/ki5hXgbl9
qfXTOj9r91dxUqwLxwE4oSx0NujvYAHXoi04dlMXUtdDU1Pjm4exj0tXUWzX3WIsuLyoK5WYEEA4
tYnQFdGqsiXPiWoHxQuoQHdPxZ1/xqv9OC9jN/Cko3Kkxu7B/8RSYcNJiqjMwACzo1SbUOUXnyod
QHP54k1VSKFXAxl13nxOPrxwOaMix6KxuhWqnqbJ2DAY+FGeQ27yDsyWi4n8VWbLHqs2awb7Bdmd
V4P/bqqQgiB5r9Zmb81JIeK1j6uO7UZJteWQSg8ft6WyV1YKovrlV1M6yZJTHbRb33pXUnxZ/Ebx
5tTDF3JrKHSp1wWGRYFxlIjlvpuy9XiaLWDjc1BRywPkr4zLLsOc6qLxRASp09VZrF7vkI9ckWTp
16T4uFlDz15uLoQ0JVIo6DvDCHocBxQgGgdm2HcASA5+iw0FGMPTc9ZS7r2NxjzRJ6P0PGyl5oOB
D/c7sqw9La1jOaNkwzMOo4XTWo6cVqY8clqcF2uODZDvAYmOSJm/Nv12O7K3+cct/VPpl0eQ75zQ
ohfrnyEiHA1PaOtOKr0PB4pd0Vfcb2FdHVx4nNSXVfwIgrYBVQZ67qKI+zAX5Hpt/60xL4hvTWfd
6WHXJuUz3FvSx8WU6va8HgObhzlRUlteIVFYm0QZ03FRPCRT/eHn49p1U1HNRxoNBw931GOMSZDl
odZZhheC+QKjMoTfQB/M+AZzUVl8zeduyjImZeG+twrgVbBPnf0t3z1ZIfm2xE0OkE3O9cT2KoM7
Dqo203wgs21tVIkIYMV5j1jb1RdOVKKJSVpQt+b6E/pm7MlPYpJR22rS7N+mk4bMOH1m5rl5qmCW
OAibaBxRdmhdblKxXO1Dj9jJdDDzmrfKMClt+3EIDJJeUbCt+T88l3hQc5D31alSkYR6HoDfW/7b
DCEp/KhOVrqdtyUlVBLwoUhuj78US5A6qfz3Pv4MndiZxmWF8C9T1qIajlY9zXxBUFmsyBbffjI7
/dmK+pOiPjPzXMY6rxilQa0jgZ+0DNcZ/eCkTQnbZWSRtEb5wN+spo0Awz88znaH02hh/ipGCkaU
wGJrBqN3H/8/ajMhXQAfY8gyrv1oJLJk0rzm0+9EAxB82IWxGKq569CIRK8mdAHiTQKO4bowRTtS
14Fi8jZEXNzauxQsB7OisNayxe5uNelYxrEjVqMhMaU0p/ReEUdcY1L8yjssT3KhTHmrQu8K/tde
RR36t507TxrM9+3xXERUR7Nv2LkcmnuT7Aa0oklNUsE6BR//7XF+qDlv8dREerhoxbZtLoZQgz9t
cWsk+7HaXFrvhDtO3zu8lwxwcWniAsJRF4m0YWr6s6buty/LN8z3bpjiRXEkik380diN1QJFNu5U
3zA4LQe3JzJg8yDqRmJbmm6mY0alpr7gxv5Y8X2dM4VOtpBa+O/i7ku8gbWLyWKdJujLswUGnRmz
WMfI92ThrVV12U2uISUpc/VSJ+QxZJpxQvwbQsxQ4XCcxsNcibXNrVJd4j7lv3ssxqcRNafrfQbP
fv4DJkUZ7MAdfmeiofgJi1Eq+5fkRZZTMnmC4Tv8Cp7WDjxXS0qPdX7qc5DMm1ymaHV/nO/iYLQS
Z2xHITq9x0BKt/JAww4mBMvp7ALUfv2SKfNhsYjU7UkPuAoZ7JOJbQ14N1FhzKrBuOAveFObS/BO
GlO0B5I7p3zDZT1yOylwOn7vHQwtu6jDkVh41cy+UddPso/tQyyTKTYJagMfWsgmo/JJPeQVOGMm
gYdT0W3rlECF8TnR9Vf3rbQ3YLqcW3Q2CTNjozSvew94XETbw7XtECIaAqKh0R1LsBP5izuaejkj
9PDLwfps0i/5Dach7LB/fskTYs+5gVaOAmOBPSdR4UfuArrmv9+x53kakUTC9yL2t/pUqm6NMcEQ
22i1rx92yiAUwm3W0wNVvkNITaNpEGs2kiBN3W6az2sHNO3oxOoW2QOPpnsyiJQLOrQ3U0aEfeqA
lWsJ9M7GOuR3K2qz32OeeCQeOE61WMU4lV9ZFIcjzI6kameT8FDx7OUyu9BI7wKFSRAnsIjD89gi
hUuRWcFiS070c45QuJi6DEeDP9m/hg4pK2JY2brUaFrKRJhVtLxI5jk9U+ZdzPYTmpyjiGjSROa6
gF4zepnXHDvzMrzjnnadT4Zxd/C3HucVZkFiocg1e6MAH8QvMn017Tli7vHqm6dwue1H5tNpCm5s
9o047CGomP+7ksKuYDoW2mE74ryjza9kuHZePQjOVcCctKhS29UoeMpi7RY8MKhLT19zo88Xrh/i
QGDWqO6xFrqj9Dxjrx1XwWGuRnHoZCXQw0MzvIEf3m6H0Dz5NIj5MP7+iH46FD9T4bASIXJZxRRx
XxI6GiyQnlH63Vn0P+oAsi+Y6fLda1j1xxH9VaIeqDuwZc2KxQVkqkAiqv2V9fy8dMD5PBcZBU+j
AUEPKc5py6V+/Ldkf37PaZnMh7NLvyWrvL170avhNfNkruOfMK2Z5cpr0syhmWx3ewnZzRJInkvs
m8pv9qsjCB2S8ZBjNP3NWIQgGyIJkPiBcjaZiCdYT9ugBYujfl5aLAMuP/YSYrJalHwceTwSA//U
LRorki4LPhNkhOt3i6t26Aslcv3H/yVFpqCI5TylDERMnUH9HjE4OP8JFQNqjcEDnAIm/nBPC/+l
TcBQhexosc9NgRmO3MgqUuBx67iCIDLR8X1DLr55RjOIqtm1tEenv8pHLO/QFXeHe7tih5ZstoaP
eTg+/SbdR0yQ59kiPe+X16auT25LUMHB4dn/5p57wnkS+5xBYZ0XJjAM64M6yKNxdAtd8xoKDcL7
1o/l0ruHGccOo4XYCpADS2Ara3fA8T8f/M+2TO9MW92alI4j2WD3BkTHZrPUBbRDIL5DDVY5dgb9
w26zyLUh7jn8Hi79UJFi7FeSh3bG7XBHTlx7NwCUB+945x2293+K01yFXvMUm3nyx1z1uFCQjYqP
AOhoxePt6WNmpA01UNWy6bE2hC92v/kvV2E4PAPijeFiFSLTHbDX6WHs1HyjtF/KeLwrXv6whhaV
LyfMaL3Tu2PbeWAW76j+tLEFXFZVfO5aAhX6eRKwrFHQKr3JhIvQKkZZ52tIDbSDTYHKtAZ/Vg0v
A/vDEKPYMvcq01afzLviU66917Lp9VlMsCAfHsWwgBE0AiUN9PCmcyboDOYXejZb6HFrem7pPPhG
chJk5J92d0blO4yIkNJ6Ncay5s8GWjD27cS2A9zkPcGeE3+WUhFepaF2+G0QLCnVS4k31Y558huF
JlOalYoOfUMtNioUU+jthdHajaKcJQNK3SbZLKRe9FRFMiqE32ZorMuTfqhN+Ud+MFJHOoAIl7HW
hsMxAh1VXfq/l8PcH1oLMsjnC1VzLfET/uAD8FBNWwxCF96LztZKj0ZLpapipYBsZDHJknraQHBE
1Y8bWmfNnXYFmGeCi5MYxAbQZbN2UDObHB2VWyyveewktT4Q9HTaLCvR1I0aelpZ/u+zUtv1/e4s
ET2tVVw3L/Z770STiEBcsGt2lE0O9SbziwNqnj1nNwepkhhmSrvQB4JwFzMhujJhj23W99uYwH6g
H1sKu1qIP/nBkpZZVDArW4P/2DKx6Y713BCBUhOwnrs2sPF76IK0kOT2UArVKIdwhw1O2XhjkKqQ
KhQ181VKgyYCxriL+j9oK9cDbl+NknzCgpgum4+78/tfjsfXkxq3Egt5pCcJnjG0NakxinKFl8lm
D8U6xNd/8e9y8yWuTzSt7u5geZmSN/AD7lBNh0t0wwaV4L5ci733ezY5pn+GDOWJMkemHDiJkXKX
gpZ3c9axjHrJuID2QBP8p/ZXDh6ox94sW9XKuzq313Y5ABOpDuhx1OMte/OFQbFyg0PiQKIVar6i
8yS4YhnuTG15jEyoPgswV5RrlQfIW8NZP+j2xHpPJsl1Wged/FTP+wk5u/MSTOZ82/7CUoIEegS6
L/14dXuA9eUctH6HW8AkMMeTDYb+9gAz7c+b/PssEeIut1Z2VFfOND+lQeR1M2zKf6DLupgSQtXw
mfv3lnoj9pIO8BqWtWUAjR+wfmIfJgSW+BTwlZ9mlIsqXHkl6yTy0Atd9mW6BzK7yCaPhmfVMvpv
r/av7SPhx37kixtKhmwQEjUp9ShzTrjw009tyteDF9dC2lp6Yj07R0JVSU8KBw633F026dSKSgfD
w1+FEv0I0WwaB/A8RAAU6tc3IofLM76qi3FOw5xoUkOOFsIBo6BxWy9UK8iXO4Kc0LrlzRYudq0Y
ZmYmKC/vMr10jgOrepWtTBzQPr/lbPzsHR/+shvAL7+DfSHdXJ1xtZlHmvFUER3zL/j5omAnTYs4
AEQnwX+6YpD9VsoHe5p1OwfTWq07iuYovqIdCiinZ/87Zy8H3HWrk1Jl1U1jhOVE3utAeXuz37Sm
jqd7HsRt3Q/Rc6LP86Fm0/SskShvexlemZqFph2q4XLAsQtWRUYtPl+w3OBt/jQJ6XatdjjYjTtK
MvjK8n9JfVOeTUctMk46SmQ3sNcc7nuGxZLqEVb4KQ8rj/Xu0QUOCdYBjEIP+VpaEgs5RgEDjZ/I
Dlr4NXpWwuLdeFbghwdL/3kcW7JyARcbSzXnqkmJRQbP1g+WRkpCSOrOwbDSfBns9+KOLBs4qTF/
OjXJvoOoqk8gu0K8Yii2Cq7E05wgM6Lkw/jQ0HqTZAEB7rkg+med4ZHV4of63lVWWt8MveGPR9oV
z9lrwolxZ0p77NvpaEEkXtgaILs/jqy/e9JtiGMnSLLtj5kNt7Otuy+pap3y7jh9+zf/3OG/8u/M
YK/RokDd9O0yVha0JDK9zi79S2rODJjCYAwys6YTNpCDPHlghFo+c6dWBVJOI0/aSKFlRNIuU7Rz
13wlieiCMRvds+BqX9kfAr1sVaYo7TjJRtASq6wiagPQI4MdGbHR+02NOqu1UOcDZDTdqF1fxpqj
xYPhaYy8ca8KVNoKLEUflZr5d2ZlD5Fc1RHjQhFRon5AYlI8fI1IswpVoJWVOU9u/NRQIDXyGU1D
SAR3fM9jhXhDpVmoJNc/5mhwLMvRA07Pj1F4sp4SyczG1cIjBGOFf2/lLQRIVmYjmgZpdWXvAwz1
OnMyc0W1akNQmZxVN2nHyaBvLQ8TWfos4K4NclXCfF1q+bK227xX2YSRZGfieXw9HpvBhFzkhus4
kjwctPlYD+KAiu1u8tkbdQ9nCMm5lZ7cpdHFP46s4Ks+/a9YxII1ZlH+CP1IYKJxBkhDGg8JQt5d
WbPC8QInAA4VwXsvsdhIMO9Z2y4Dgcx+z2zBKwnQ5aaSK6G3fiwgn9AJdYE7BqVIiWC3ZmAeo9QM
FnsUHjd160TFrmefF1M/0teTMMH53dpwh3qUGQmfo0Hb+Xxo62Y4TdDa65GE8B3cMwsfxAFpLv5f
ipSLY2A8c2ySWAoQBo188EkS4dNUQoU/6f5DuhkSwPMhJW4VJiKD3xZzdUR32IcfkmtXGtx9FqMj
bXIuWYQ+/bPF0tyqDQdDOyifmJkC49v1DpgPfybxriQA6OBivoVA/iIwUag3iTtPCCukV3/zQGf1
RzG0k6FKN5RrA3L1E+iZaQuqEu40lZXPvNlCJHZCoS1eE35C72IxTtNynbsasDYBHS3XNHA5wv/1
u/JONbKm9eEICB7tnyDKu5O74CmNUCogKFS3/D8WQr73nyAM6h+8UIAAqeMN3A3lJl53r7n7usb0
QgYmPAyAaBQ43SaodppcPZ3BWghP5QIXaD/NY8GEmstSnfXhgnTYk5y+gi84A5TCyzSjk6kC0JU7
6h0lKsizgYt3MNPyXbpMvuA067ODgyZdoxWvYFKs63Hr5C2yIugcw/CuXLktpI/upF5qbnjaY3PT
xwpGCFwHddOUQzMi3LYY7wZsPnqH+kWM93deFf/2QtUeWr+iKV5fzBqNRVSuvUwmPYLaSzjC6qnh
vZWulbdnjt1th6yrsh4zt/XTvXi1hD46jzT2QMMVszYmf/1xrpeLN6UIZj09bH+prE3rxEjeqQzR
qPPWNfRj0kPRO/kGIrL2wPNkwMaGoFcn4QgaQSCxPBmbl0ESOrdDbKX7gTWKtx9oM8N3GuDWMqCT
LXkh2LvDck9dPWhnFaXSwZMKayJErPm6hI4oz4gkRF1fq1DkfduHWFZWGMqOrRuNXXcVGaMeYfgP
Xqo5zju5jVXUHA4hvkibXObRUJlZYm5bVa/YrjDynj5CCdzwAdXYyxhObTu0n14ceZMBc7q94jv2
twv9WqtfaoMgcXyI0HIcKyfkrePXWdxA2KevbhU9SB2OBCiBCr4GmHIM7u5vwL5GzTMcindkkf/f
KkDhrcPSjgyIz9QxJzROj/wnxyj/He0yC/xNd26zoF7yqTsAa52oaOBl2vrGOsFOylTi5/QDorTh
KyHNDUboZ0sZnsSysO+VPfutKeNqqke5K9aWig5pvThmRgoaycPf++pGE79X6tK66LSjCa4NJuDT
ZhyRnxnxsvBqb3XuEpzlVZnGwsXpCxAG563yVc5dp8IYLovXvK8T2pk/evuzS6SCXM0UaQQO3TDO
gXvGSJPUiyAJYk7BZk5OpcI2H0ffmQVj8VJBFNpPkwF9mEC9cOz9gkEWQiU/0jvzVgANL7eAMJxa
x2IH+ShmVn1608JBbNls2uurhfkk4PjeUJ1TbKv2lHTIlWIGfLB18QgsSIxCGr/HnQygf74iTuGe
yGn1Idc32HhoAD0frixuJvyHZ+NyrnqseN1vZSeHC+1nz8F9a+EDTY8NK/2rMY6qI5o0fFKrxo8R
jLtYHRN2D/wA1III+N5lFjS/SvEyxBxmcp61u/ORM88uF7/+kCNLvfDBBGWphbJqSqU76802VEtG
IxwS6njcJ0xlCS0N9P4OeQS8p5c5SPyLLqjBLNW4/QUzWr8+DfoZ4nCC9Ge3h+r0zXh/VngNuMGk
cOiWcsA6COpZpGUQONj4/jeAFf4b5XaPAveG/Gns4+0MeHkwVqD1rn4C5y5OvRPoW7oqOcGGC3TV
NKy7dIrjDF9n8RqX6z1VWsGiIu6jkrY6/goSlgOJZTE9NWhQaP99ddPS/GzIJWboHu64RZZ9eTke
tOysKVy/wNt6A+f0Rf4n0loeiFpYb1z6TIYyIHLBcYkS+Oas975DcXq3JQmtouqvEtFR2gcDcBD0
EUC/PaFLZD3JPxuIu+BA2jVNeJapTQkVe/bL6GqH2rq2oJgeh3JJWKsTuFSYkZa1cHNif5A7K6CM
cUFCD628TbRDar+1k1/4kH9GMbw3Mw9s6LaQHCCKD+Z9y/rEoImk3Q0dcWhKqoKaBa36Paxq0CLw
jMUS4uHpcGx8XKDzE4vFfzDCRUwb4y/nVal8Q0660QkzxATiZ/bdZq3FZct9ARYqbOUH6SIdikjw
jRsa9lUXLID+X5RD742LWqonfSIFTQrOCKOBPmunyRZGr0fKNeUfryJl1fmTZENNTVWnyE9V/Qca
/iNZQomR2nMmTe0wQ4KKYyfjUDC9BfAiJyzaNVs+lqzscy+kQUkQ1dgicaGoBJwEbsw3/nu9VYcw
JyjdQigUFDyH0yqsgTEUnehdHm/TPTNqI7ow/R/TstcaavF7AMZeZGv9/0F+pIatk/PbwKdJHl9B
92/Hgw9gxF28+PMDiBTIRhYhASeZvZC571qhP4EQ9UPxJI9vj5AURnGAEQbmwPoao+heAoJYY3Z2
1Fq7ydScGGz4FYFenNgTzErfx/sNWC2Ql3ClZko7RtPlFFiMCjXE9J2z/g6JfAzOdfjQGCUb/41S
y/3J3AnarU32k/DAOUGPf1vGVnKwCSasj6l/8KSutt0HQQkpb4p8Vk8r4wa7tI0uWOkys7qsaUlB
8LGqe5XSHskyjmDeojvP+xPYae4jMuRatQ0mzfXrNPbPrdGtgyx0JZyk8zyyYrNy8G1PORTUDalA
mN/ldo05tG2rabMBMYPr2k6iKXFeHsB1mpwPWg9wCUlxVvJRG5rC/ETC0zbW25fT/AvXd5IDsl5j
yLjONp42Yv8EOcYvcJOEVK3X80bQJ4RdzKZo89dm2I4e0ETeBlE6a3XbWtoS6SKYD9BSLJem4xBx
SttNameAb67NWkrX2m0121ebueYKwd/vlVmWD2pJw6b/UCLqutmlactMCV/ptZN7B0W/X/qsSPom
glm2dGIhdPoMNtGpJqHks2T00e6hHpPDlu7nHOReynkNyxBM0SgXlLqdbz8F8o5gp0GQDIWO+0zr
yDpQFUC6cRUPZfsmrN6UDhlj7sxtIor5pa+04VNrGHFLTcNiSDNO3bNJuR/PishkDau5MPdcdSUx
JgMz5evDFeO0UlzV/dc70/WW3ILe6Gf4goaXRWhHGuI3APq2CFvAbPMKvopVZVALdh4uxcm8gy1F
L74J7ZukLGdGvfxofqGTdO1swr9zBPzeMigc6JpcuaSrQLFXsuXEbWhsI0D4tgMv7cn+ZHY1r1Xo
JRJi2Jqxe1qk+RZ0CkoYZnT8q0TrVkDro9VQxjSrhY6y+bTnhViGlLAP4qvQl6wBFzW0TFtlhHve
HbETM/iAmJ6g+adTwaAB0ZexkAQYDj1DC7Wi7ljjLGrgriCCf/ap2EODX7Ddf83TtuAgUCzJhs0S
xP6eCALhcRqcZK4UtDynm83SwVBhjn7ejR1c5Cyv/QecqakNdE82Hkm4WMwmSi1tQ6bV5t44CxGH
d4GS1/8Ahcm/m/+mbOj13pxLbxtQNTdYAczbu+c3wvvjXFQ3HKcLaCNqIqurfbA4dJIki0STy/5z
yNeA3Rq1s+EboTWkEIIBI74CNB2d6mtOYOGArKxvyEY7YKxToGF2D/sDfnGOTJQev4AtG12Agv5V
Lzj+nYoAph24/8fAZX4OOh72WHNgnsOT3LWfYYa8560RUqr3xjyw3VkWvRW2EPdIdwJ71ApyjCBg
LKewGbmMzZdJlQyP1L3SgjHo0XaIkFQuLQRn60neARH2a0DT5XRc9onXi8ZDmtQTvdadujh8te96
kLcoVpehXfb4X5iiq8LFVHHYww1JXcr57zB5FfjzRmZ45vXCfB41T1KpdX8sezsUwuQ4JuK3hpoh
VK6hW5B15ITzE1pDxwicCjlAUTARVIOCs5KKzjQjU2jFn3UKUQl3TKhRO2XQSrnREMp4al4ocotC
4T8i4JSuCrGrvJYu4+2doSnprf4hAhf3y/ehZlWhGRHCFHYcC/eaC6pZOQOyUt+xeTWTPDaLBsrs
nWmGNcJAM+fiX/HGb/m/QX+LCvWe5kZJxOplFw63/SR7zKCvn6ihqUSVMzNg+lnhmvI9oZiDhL7B
68XFfpfRph0TWQYSMGZx/+CDrnSHBwkQRyNQ/5SROSa/MYvE9o1QehLP8Kf1cgjbc+uOIWkOxW8V
ehTVBNScP30b6oRf8GB9uS3R/nutZ2FGP2o0KRXmAGwj5AWRAg5Xi/tL0VLbm/SQTp3yJ1GHXSsi
pYdXq2oOd8TpnUbjekOxJsNayJkuUFoktBCh3pMX5XLx6eWOXzknfcPwafHJcyxO7pYTnagx/28x
6gL2zSDD/Te5M7n4YCFzDY/7lpS8672D0ZI3aqYgsPon+8bihaIY5Y5m2Hrhwb0sneunToyxen05
JH5F2YE6xz4tnja0cyhZB9ZG/BpPPzg8XKvGD7+424CewJ+fcU1X4tHqScrVI2AUNdm6U4JxUR1i
mNGqZ/ACNWeKliNu63KL7XfPPigsN3hUhjQSyVs+dfukh7ZlozCyDiCNPIbExMmkrKMV0Z75grPw
1Emxpm4th30qxQA5PgaVWWLfGkymzfLKUSny2rpMxiwtDwQOf4VXljzoroEa7CBDA8uV1eQrMrNU
PWoCiEbAJDalRK7LJ1wWnV2faDrQr49fgs/DV+nJ9LUSDltobWZ3o3jJhrDiZUI/nn17ijI66/qx
/BJkRtsCYvz4QXEXATy02nwL4re+q2EcL1yRWbdBdCsVU1yLP15XHUwQOYZqzwUTXHj9N2jzeInU
Ei7YjUqC2A5Hj+k7BMNQypU8bGqF9a+LucI9PnrlbZ/fIwR9Nd+lzU15X9D1nK6yjQ/r+D6+dp6C
+xGpYfSQgCHcHCMRq5hDDgeO5d/VKkpaUn3hMwXwqkgG6e7KNWqPMrdEgt3asDIy/I+s5IxGhPhm
pJHg3Ku9+eE8c0uaPPpBiH4zURyvduweFT1W4BnKYsfn1w5cLGw9lbEXXPlpfRYNhPBH7bKSdrd5
jvrDe4nLClcG3TlmWBvOR/uLUTwF+ETIiI6tPIw2niASNE5YUiGKfLL8f47tv2dhXfczZKhsIu68
h4E1fU59I2dGhKhx37auLh5bLDWqHHj8nnCMdo2D0nQqrC+0IvRz0xC7+s8S0KlKKy/dVG2CKbD9
JmOn5XiGUFnkGJs1Zc3NvEFstJCmZlj15izwICWxPRe6U4NIh9WZ3rxKhc0t3z72ovlm2asGlysP
97fy9lK7mIPSQvwQm6VohjhJv0QZAMEXG8UEGGc1PZlRtoD1CspgKbC5GWXohCqwfed4KguVjvlE
CxDrYdRqUUQA+Gh5365Tl0Gu0gZyxFbuzj/0cJBYtaGwGeE/hLJ0mcoEG/tDhzsHE2cAY9THiDct
3Fg/U2kyiLwb8CdEaEa3HB+qOIl+U2DI4MxMajy7bONiuP5XqH0kyUGrD1hB6VJJtgDPHlLdyph9
ULxyi3lRJCmyxvUQwInazcUUwVlG/V7PLVg3acXST8lGLAY0pzi83rF1lreRN8rKLKC7gpoUAr36
L7tM2/Wynyuq3iJvpGd4ydSvaPIrl4kX+MnA7bzLP7N6JUgZ0uwApxpXZVQxtUuzjW34zJdH7lCP
j4NyV3+JWKM8tRGzRDtgeCORma0pbWHQT2pJ+hZKtAZXnGdfOj+y0YakI2YLZGVMnn8t1oZdZjLf
mkPJjyHDpUH3TIVvAz6qu9ueM2RPPviHWxv+2h8GJsfrutTnDu0fgrjvc1O3iFYlRhjcdztyYQob
zB6NcnC9q/RG8nQf8NPUbKYcGxG2JnCRIZpTiSapPrE7ivW5D/Ge9wpga5miNQQbQIZHwX7/t1kY
19tlB0Zp98xm0G7dvaLi0eYRn6UGtxc8ptE5M96NduthOcVgFZJiZXTdAvyK1yiWVICuHqZqN81H
6rrmUd3XG93BQeNcPt1wqpcFCpi0lu/CggA9QU1i4Wuwxtd7UixBaFCUEtwmxRBxW+N+yzoQy7y3
PlXooOTkOhK2ddAf0RVRmw0uhVeV/WqTJytTo52LP1Ww/9dECQL8CyhQiVEtIqpi1IbotcJOhYCb
fuAlZsvFNuHmUPvVrByZ1KQjtiWoRG4aKtZikTmhr7Fwk2ctdtOLgvJNDCE+2u1eYAowNOMRMCto
aQdlduzBU0nUyKF4M42mIKs6kCZJMNN/Dq6RVSL8Qc19/ZgyVgt0ETdrb8oPUpH5UsGHvSClJ0F3
QvE1wDxDepDl6AXd0oFkoM0SutBPEWIAT/6WwAszCJ5wU9eNelsEae6xe5IQd9Fr9uYC/DoyqX74
2A+pGPN01zR7sMH/IphXwfDXGF6kxbzltriUo68/Pgy1QMo5EcAL+L/WsrDcAJW9lTnoOGJyaQBU
AkK+0xAV1IaavOwEXpd9szkHPgSDFnn7XsDTN5EVH0pb5CNpLh6F7LgQx7/vMt+IKaEteJS9AHiG
qMK73Ybex2FLmpXXEZUHEvUvhCplq1xnWrSlAaiCH0Liio1o1cEG/iDMymEoqFrYOqPhbJam9gSG
yoJ8KZjJ6uFDyExGMKxeoQgAwFOVm4akEmhhTI2J9AWEyZwsQErmDu0WHuwDvG0WSSuAdIR5dGEA
Rb39g7sY6Hmbtlimxp+XdaKblYvpWcSbvFqXwT0R4KjP5Nl7w8tKK0AGnIuEGLlBZhSn1UrnWDQL
FhzXzBQiOijGybpD0R9TV9nrSiywS963LXC5j0QoUnSKPoI0e0wljab/Qrx9C2hlVdj49TEc0Ufd
bTWSGW1xfNzO6aDX/Cznl1YSfGX+iXdIs61a3AILK7sSnPPzK3IukGO68nz2GFF01c8hPEDUOhmB
0Kg/7Rr863VHFzAlRTOXzARU5BkreWD/hG6NWVI46R+xO2XkipYDWwuwbt2wD9bM86kpfNsrPtkV
vqyHOrCNOc7a+ncvEDQ9O5GvfGiV1wJAaSEENdJP7o2a5b/WYgnEyL44mRpssG2lWmgjadG4w4bB
z/iLDlv6AyMUW51GaslCdnEow+6/OiBXgJ+n0aW5H+JZ+i91b3aNVvFLub8MqQUFDdI/kNDYNfWA
cKijB8cVZy7QNK4VmZap+nxCRsjJkTGj8Gj80zrootwFGtuVqZk+oyz0Whr++6/1I2E7jCt3TZcL
3ThAr6kU0Sb1GmqoLwh4WaFEpSxj882n/WcurIxSa2xl2voazQ0jCfvNwIzcla/JQYZE5gTlg26Z
S6PHZ7cMN58SwIXL1fHZkZZnSYP4vtOAaxvfccVwhZHtu2g5DixSxmbwXFG2oOjV529J+DZVzCMz
tXI2+/u/NfgPUbxNakaWWJNKKPlyDfpt2sTcXO+3pYszNHwMDwwKoOH32H7Fkup/g714fG+qx3gY
e5ixaSUKxuImLmMfhrPOGHddfQcMsb5+wslKeCIEWiCacw6gC+w6PAvzQZRrIGTZLaPTNX2m6EhM
Hsj/wxX5yWtMij0To632myZZwQx9pN5XBX6iBg4/jNugPRAJWi6tmv++bWZQwCn5bHRhhJH6mk4P
dItst+UwlK8wFiJVCUMaUkYQR4TV48eRC0z4PTTCeR2MP6M8G1AjvaKBamAJDmBgaUBEFZEl8Cw6
Xd9zjiqG3nylyOdUEbmw03mc8htkFXYnQtDUbPD30qBPwuViZZJfCRhteMFyg7tskMuXMUHhHXxd
N8atIwporoN8rkGXFWmbceSIJsq/zSew23m4Sx02iiScxKUcacJacYQKY4x58Pb1SauSASrpPeWD
RLGswkhAMDhwpOICChJ9p+F0xhr+F1xaFuFVZL069NLfrbPic+bqyo0A/OHN3uMoFvFpvaH3UAdg
PaKPkRD963QUiMJYeeS9E8YMl7ZlH35gwLvyWfQ4GKnR2VOyhaYaPzw3Kf5m9jE5AuK9VHBsRHfV
8Vm4NGo7bUmMj7cc2X7VDqex7uI6bKOmWEmC+Is/stQ8m36ja35rgS4hJ3eVvWj+fTNgZP5Kqiqk
zH+qUWH0udzSQ30Ix3KI6zjClrOkcPHIxdE14g70qNBK3kOD172I6blTmdVu8pDiw8Ls30zU45Q6
uNR05rco/FKRuNmY/s6I9cWvlL1EXUDOXYwWfP497UBt0qU9Pa7T+W0OYjU76qRElmdpA9H5FbmV
aQKUe2GnMoI4eVYrJm4NCWJQQJZvB8boj5gop9DikKmdYg+iN0fDZFT/aNYuMQw4/eg+JcEBOnkT
cwuTnynBbL/HK/8x5PxaAeoIcFDvgbV1lWvxi6PflZiq4Ghb79FLFAHK/iRixPPcLkzNew9tANTJ
KDv4fAPpw7S5M8GZzxw1G3gznS3SZ2NqVrL/lCezNUHfeeuv7itL30vqiQ/HX0uLdFXtqJx97IMj
33bZv26BgDer15ydbYIHy22v+5JwefG80WsTyCv7CU2r8D4C+9eZNL48ZSUyZijsMT85fg0yQep2
1/brDPOgn2mC8XUfKnXlJ+3/FL4+Ok0k6gcdvCxvhGJkGv/Du7ByoImgDp3FaUrCOP4G9xY3xZ7d
zAS0ia5I/2iIW/sS4Sds0GSoyJkTE/vnV1cJwR+eR1TRrfjBEaRA7eXyGh8Ww+2FvfsyX40W0w5H
0A9jA/1F9f3ESH1DkbhLm3ps/qQUh19qRJZ1+tv5LE2tTjNcO56OO3FbL8QQ/Dlee7Fu33uZC/Va
yw8xKvmVcT518prXav9Ucco9aGUDcb0JFhrEueqzrowsx0QvrcNoCK4CVrximIMk8EmmQZa1jENc
N3pPdc9h696GzypLr0+GVeeVBbb4hroh0KOPioMxAEO8dhRVyArlK3bWik9nStPbO8/608M8bkU7
5T6WPlifAw4njEcHtzNDMYtoU0dlvEesJtyMs5QG5KhfFC3XWFNrEWy/wiaZT/NT5w5V/UovDoMj
IlV79wYpNDXjywPqKUGOSXTH5ng0zlWxyyaVl2okoedn1WpTpnoeSRGBkp31RA+CWUZHgFxik8RZ
SswwgrLZM0T6pW9wCQc0YXTC4vLaM3+DWxFG4TPGXmLZYbi6Thyr8Lu/rkWBytPC/0EHb4KKBbkX
hjSz2h22GWar2lrNe0TQJC30Ef6SQmk3EQlcg+iiIzchZM5EfPvZyWHP7wsAN+Ggwcw7NiwTJzfp
bkOi5JZogLdB701MDAkArbnbVCy7knDUE5jnsrt3XBjU/ul6vu4iIE4Paihf6F4QpDiZIWqBbtWq
sUAuIitqXW0at71H8gUhb3cUQfxsSBO+athWulA2yRdQy8gqQpXmR9ze2xpnfYuB4u8K3/Kczqk/
2YaSiONQdRWAgCPV3Fc7NY4AA4Wi773Oiw7ExVqszKvngWwEDxeEz4F7bBI3PduToYty/r3JH2wj
Z6f6eEBCeUzk8Ngz3K9id2ZnU+LAqOMD7z+mt29iZOGhEpfG6X20D9M7HwQC/Jv9RQCa7j+bGyw+
kIAc0xOpM+SOruHdzbO6hoNrtU9wMmxeE5ooq7o0rN8uktbHgK0Rt+ru5RyVcqfb/fzpzvLrk1mI
N4APekNv/mOEmqyduEIU54Cl9miiUShITYiX2lz/B7cpiCGHhM1kUGX6B67uX2aPi9oTWL4PGkOO
lcwRpqJdOp9+KTv6hv3TvLModtg+n8d+b9NmsiX/+pyySrWDxNowN+XBgeW0K75TlrTTQhAyJbAO
9SWJo8xDQ6U23N1sDDAXTL/jykeo+zGnPOg4oLPFEsnP8PglmIyAGGrMgUQBmbH03wUYZLgGiM3W
2X2eHEFdO1A0DxjMW5kMcvN42NmhAkJ5oPdRjapGickDQ6LfJxMIH4NxRMe2gAvscDYRvXXVDXgA
BbDD39F1x5rRf3mZT//uqZ2qWnINrSfNs4cLxriTkBuVvOdEArenY6gnFitewk1ELdgSN+2KZ4ya
f/SUef0H12awDgTfoTWpr3n/4c1ZyI8ts/BPmbLV2LtsBB95mqweIPQHJL20rOjhdmoLk+bPyIZR
bTKBQoT51jJ1LRvNsGC/2mJ4wnMO2pwI6+6r1i2k5MJ0PLQxz698+amehW6IO0hbdEet0Bm0JLTT
memohLEqkdbA+bm4H1Osy45U8GdWCCjz6C919/bRo1PswrKBrRp7ePCCRzhJTQ2l8pY7EtDeClIH
I77R8inLFFNyN7/tnHRO8PNYRZYk5RZpH5N9Q6J/ttlmrhrDiSfBzY8XqjjB3PB2Dn/ypsjTJDbp
/8/T0J9xGHtk07PEeF1RIs3tRn3ElFI5nfUWl7ZWSGIdaItU90ugpHEYwi5+Ll5E960viM466GpJ
iixcqvSAPilF0DUlQsxHXnDdcAXDwBMAjJtu3LUYc0Kd1B+STWHN1Xt6qbr4VoP9MiVTkaAYRMfv
rOiJfhepH+ZlgwOTwUvoUY/faJBLKEHeP1uNrUHC8Vynt/yzOQKrkLp0/ZcGW4rRXRMFq7mkFGCh
TcvoQ+Gxp8upxcMImItiC8sCWL7Yr5uDG/JUy0/ObKEUjqSaTnfCBLUjJ+AEZEHAc4oMJiy2td20
2UB3zAmRDWJTHfNIW4FJDo2B8ajOLkb1SjDlHNPsic25fjTnajeq96vZSww6cx9Thai37W3nCbmR
8eiJn27PiFwdMYRSyIh2C2pGJCvwOEXmBaRKFktD3R+EMPVgXcElmGmYXJms8m7fb2+FM4FCkSeT
8IL42MPhbXV06iqLEA9KrcGPkiu/1t2cBIrHdmNNnBCaRP35GWhGRnQOz75Tiz0vT+I8i6BZwsvH
pqd5osqsplVUfl/DHdjwhIu1leipahGGK3bpeHt+YVKVDUA7BnZ7hdDBojyuxXTtT6TjLppDVl6z
RH6nHJC5SVH2cME63ep57O/nfQGxobOGJ43m018AJnJ927aEGqLnh7nzyeZFkZN6t810/TkmqI8a
tKN6vqgJZOYX0hfJG8wgGkDu2ft6mBdH1ydquI3tcYZnWWSpgQzNJOyvkOEzve9W7nm2lpqU8bqX
OFKbNTPa9vLwTDJVj0PmgGGhxeh+MTiDUV6BWMnaVWeuEXSxoUdULp3SZd1Kjh9BZMMppWpLUp8x
U7T8xyA0UPkO+MVZverN63sH4x5F3d+M44L6FtU7OPmNsuhbiqh4GCe12o/79Ll+/wcEVuLaJ9yA
E5vJykRmnELgvu9w5DKKEK8uWDHw/SJhObaUo5fq9OTnhyjVuyA1y7Ln3LlNM3CgW/RecO95PJQx
4E5F388SibhOPQm0eV+gp1/dQfahu767ss35bun1AH2VXptOaqxIKRzkuwxKcwHVlFGb3NwIR+do
oRpG4nAUz3Nd4V461R2hY7f5YG1WoMx16nK8q672sAVIU84aCYcs32dCG2CqBB7U5rOynbQx0DKC
9Dc8SSsUSG0HsUC4m/VNWHuEjO/n80s6PlJYimmSye38dDO1PVjcBEMSc7qeNVFtkPN+CraNVR9u
bviyDTgamwVL72Ltto9dyYwRPHzTRzTpl79MUFYKgM22j9AdbigZZHlLWu0WeUH7W3iYWmp0Vy+Q
vLA6qKVPr5qUgIcQTpRspCxpBadZhApJwHgI5lqra/2QdKKe+VY2muQQt+ld4oW24I46rspRW2cZ
Bj8RKA33WlRzAzxtfh3LvLLjWN7YkosistdkPN7nw4AwDr2x24bSpi1pXu56IuYPlY/RlVwTpsk1
q669Nx3J8gkeO+OVQcGZh/fRdpzQI2W/mtccPtA3HQF8etwg/NTDXOYXKvxWxML8t9ay3fe2qeTH
UFK/wARvHgzw6z5wgw/yDmKgEK2vffva1Kmie++dIYSGX4mgcpxJThx3a1H3vrIhuh8dCCN+dqOY
dyd4Sg8VKOniv4Cjjkpgy3flek5deZpTggwNKDZdASf5Kvz5qCFR79fylyWA+/3yh43k5BjPyBRP
gXPAA6ewte5kN4mxTGPmzgPy9u4zRo8Ue58ofOBHIEklf3WXG8sWq6JdnQzMTKHWijkYr0Uf8pLo
8mnXHHdZZ2eliH51xQXVpJJihVikuERO95dfuJukJU0RosWsKRv/v63YFMHfW6P64vJkq0SUwYql
snUDPizvuBEdh9PHpxHa62h6S+zmHcoQns6QxRUDaTU2zmdYZR6nRI4E1hrTmFStaBx+1+M7ED7x
VtiW72Iir5G7JfDDWmV7pY6PckOZlO+9PMCJSJNu7WRxR8mtO8zUG9D1utTC2wf0XA3RNSD4crS3
6hU/fdYAWRRAZgiJ9gYE0BEHOZZpIK7j4eg2y+IIpKzVR7KOAYap9waRbmTXdPkfXEuBG9adoubr
yuumK3fOsaTIr7sebfDk9verbamwJjmDU+CWhZ7iAiYkwvNzwmNAkSccPJKXuQJzsI9Vd8t8cbXD
Rg+AC/mq2jYL/c6FTTtfg+mGFmp2TOyI1G5b11hkke346kYxSCst/vN+9M8S1tipF7zITDm/B5db
cuWCEik7Q/midOOgBd4qj3eumd/cJ+IiBnDFwO4rKwQsN1qyJMrQcf366fm6HbXZ/H5AKbldvuV8
MShU6Axp8KPJF1xd/T/Ccd67oUwGOymMN334SyHr1GdVp6lQKvr8T2aJIlKZvSKIllFp45RYxxQB
JkoCt16weis5No3c0oNePSDUxd1iv6QjJxoImqFK+J+2HWikqh/L+TFfmNqC1xCwdxiSwIvp9XYg
7jaUThKggcksemI3Yi9rio2IbdmWdvhdUyqiBs6HzWTjSD4dMjywgE/BjwafLmRhndjOF3DGD2TZ
v9MkaVt7gJkxeG2PvObkAwAOBCXTNAXWyes5V4V+sPSUj5w2BsFv0K5AI1En3LkR+dxHozcE18wj
sLRgypPAyx56sEi0wuHnA1SGdvT8y3VS/uunuXg1m8/oqsdoRKTeQUDZDFE5ReALJN5AAXy3GPdn
goy3hz3Y3CIbMWtB15ggOqFI3J9RA8g8Y00YNpihXfUb8z5UIyfXInapXN7mrKb7YH4L+/6GZBIA
dydL/WCHdBUX/cebCgu+qcEnINS/SeDB9Jj/gSYp7Ew8L8ZyoNO50VdVXsWWEhdX/lEbsPnT1+tP
RCsAA3MOUyYFliZYeVhi7wWe6dBrOAiYgVV9jGgi4LFCPdqKDSM6Pvo0jrdAQcAanCc/0R8KN31Y
ovantbVrj/JyhV1fbycR6mqwP5txPB5BjF8MqO1QSj6LyYMpreAOVGYoAK3cIjh+y0eXUk+9Zoea
so8eXA5lY1qutF8AgrmINogOltvGGNbZJr6uAWb8RdLQSYjPIPdOCJy/PgJFRQNmOJT4N2O+ZKWx
hTV/GCNsEx93imJ+ANDby1upHX1XvUVE7BOttF3CVrSZYBgEBiqe4RT0icX2LMvSI8U1fV3Qgo7w
kfaA11SUPnWTETtD4PKSBsiLb1IxvnCcwNuYfYiDB9L3V+elGkjETVJa2d+KG8CGyiI7AF90iu4z
7i2e+x2W86PXcs5QFH4JrDUeDw8PWQov2jpb1Jq/GgoBE7RgC0RyMp+ykOKyoXNcirFP/w8c6ZgS
Td2gYvFL9JsFWPKMRZj6NsbqjewkrodhNqDbwMvFSy7oJLBEgw1CoJDzmpSa+EjcqKxvGQanzB2u
cqEo/nBlYFamodKlEtJsXfjAWoE22+uukHbfxhoI1DXWCsSuoIR/lIVD5Xq4WUy9MxB9TcTD6LAq
iyswZK4/D1e3C96Q8QTCCXp9ou8AwYrpjC50//BfGkI7YtoclxR0aN1Bs0V40g9TkwEkDtoZhLTL
SEhmLv14/KIfNhG9hkxxhHkTEPvhenCZyf7RX7JSQ7e4a5zZ3qXRkX/+6fGBRdFn7Dx/tmyu1/MK
CqB2Ofu6xkRbrQ9hxyHgRC0W8B9sDT8G0F/yJsE65iWBLl3NKcF9tvXFn0HJtX6Eztmvt/ylg26r
DfKCZUoY7qLX/LDNhZD6pu1H8p6gI24fj0sfNY3vavi4GRU2XzbXjaZj+Py4QRH4a2J1kSdQfCaA
8RBz2taKZMHqRGEnbYNzveVu6F50QQE0QgWmPCuzb1V1k58OvFNMmCPEXf/CuSPZ6Qqfdp9/LbOT
nbEMJmAdXEuOvoYy/MxRZ3RTjd6Wc7KWxB8JtyV0Ar/+fJkngysouXbJPxEY34nR1XxyceyPuoeh
iyROT67ZiO8uIEhlCSkBGTHZjEFV/IHaCN5/+wPLWGSlph+a+jKKCTtBS0UyNMDOLW5wuC/N9LHt
RAi23hkTCUcLIcuoPhoHRI5zoFNq8gN9IaLctpIk05S6BopeUl4W+j8lXsyuv1kZKj1pIUgx+HHq
DO9genG5bx2oFOvlqdkOXn9melrb7PzkYTiEWl2XL7wjhFwe0vG3EnhiTEWaWl0mmkgASth1s8Dh
7QyXlxG9Bcpbugzt45ezjIbUBGzRiGz3oZSNxjX3YZgOJcECj4yt+7kQz+GCSIdiwJyK1wK3j2R0
H4c23gbImNZxDEEXmHGZmABjK3ANDMbqJR/EoUWwSlmGMjIT1H124jttLte8IGc6qzYCuZojiRFD
z1o66uReL4FrH8l/AOSFOnXqjZYbykUdOlBaBrdUdUBmrLhOHWSTIaLQJhqP0ixQS/IsYZHju454
5sS5iUqKl+j1C1dzA1fihlL2UnwHVGodHuXniQFTdrLFLYlc5+9pTPyOrnebblsv/GO4AwLXqtCn
Ejhdm7vLeOKKzt9OiWAbRtJz3k+6Xlw4NyyHoWWwf/OUrcWqtj5TMFG6Mg33AjOnVemV6v9PlSk8
/NFdYqbz0iJ+KyAeOFBhmSWCS3++Gnk0eWXi6pAwxwDFswyblema2lIEJdzCz7aQzyqW03nvUtFR
7kpmbo7ITj9+DwCfXkrDxKY/Jz7ksgfcGDMxrrg8ozqalA+sTz6VWglnTpj+yYMh/+LPHQUd43wN
YCriFVwBQFtdM+aZ43NyNVGj4pJRTii1lZP4NbIevqbzLKEVC2baQI/iMxrzbRaaFe4Ibd3oe6PP
G9PiTevlAb3TA2OVh4SrdvmdKlsOtdud93M7vzWxuCcFwhCsiVbe8IQHPC8f4AP5rXEP2bEHVycQ
Kq7KJKl7lTMj5DLP6vh+mfGqMtRuya5drubbhxffLwk99iBCqCChpfrqrk3bfbVnOwg8lTBigrPf
PFuLEMEmgplKR2PhX31//Q+dAkk96tq5Md+vRh5NVp66Sy/U6Zjxy6D9+KsR4Z2GPQ70d7jx1fLY
WwKOK2w7f6g7KLn7PrU1NfV1jcEby+ydoBmgAkNzXg9DMjtJ4zS9ujNRjL/FZOo0vK7/KUnbtIMd
C1pJV4pOG9EZCg9WPdWNlyV3GR1vpIFJmI4I/Z132dIoSEJVxIyQT+MvY2xKMAZpckftSOPQchcN
T0Ts9/birCc+8FHnTqIpcz39ncjtmj2+mwcBp+kXo+GbKaSXCi435vXHSuceE7mfRDL9WbwAgKL2
lqhR7WU4oxklBLvkgCqwOzo7T8itO6Pbji5cc0oWF4PYm/cRlDY7UUV2w3XkxTAB+A5kyXzawWeR
eM7XNKtDGzJmKaltfE4QFX7Kk+mhc52c8ytz4Ucr2tL4bPmlGjJsJ4Yl2h2FJU955jfBUivBOWps
lnfZeaTq5YDTFqWL1q1fEljpkjgk5quGbV6CQ0f6KhoOeiFwrnU3K7+ALvIbzkBV8q22u4CzVWoM
6PX9sZVgP9g0v/74OslUf4o4jg6q8yMqTz5XqQEV/Gz+pdXIYOkifzAlNMK2Sq5UYM196fMR8Rgf
1U1M9x31BlG2+Vek1+APhd0bYvlNbz8FJ9bSQ0OkIk7l+2UDzsrbBlZQpiaRhvt/6l/H1Td1OJfD
TGqfjR34OY2l7tqLEckSlegKFw4h2f5fs4DKcjraRABqAqGpy5VVJ8/Rty7Y/Asa9pn7Ex5IZFwe
jfENYWxiWyXz6MdPiwOY7P5azJa5dqDXJSK9OfU8EP2x3CWcnrbKluH5DSfxR2LQV7mjgZ4U/rv2
vUVKi+CzQ+Y8GJBsUNiYAOKFEhNv45yy7EzgowbRxoe63jnu98DoLU0Wnjj4op68xV59UKrF26Uo
2j4CqyQhfA5eYK8HiMBiIp6yMRhxeHBGh1hG4K3xrGz7Znm1d5Oh7FbTTxZrS/53V4CYNMjeO72K
arIUTG0eWAKqS/eYF2W/EqZ4OpEJmjh8VGFA8yhWvcpjEHxT51kkGp0M/fseMokdHuBEBYZdCG77
qvXIQlHy6pEKrQ5pdZjeqo1B1iVLdJJuVOaX7GYUy9gsq7n/j1kV9jY8iqB1mxADgn2mIamPEr31
WoVywMrlZWghBxERM6kPKIONMrJ6aL3enJPP7SqOk83xALEzfffBVWbstoRH+DsOVCn+Dzs+aJxF
nh12iHpQNLkmdqJNGl/0Juo/FP9GA+69bHbPY3z/XGuHk/9zGpQa0GfQMx/xUbi+PbnZsfaBjsk/
UrgTTeiasUEpNQyKPCgaC0N0Ti7WE6tscauTbd8sYbWO1NzbvSR6MEIN70TZHNXg+x9xs/96CTHX
Txkv24MsX3BlsN5pBy6BSDaKvzlATmc1aosgZ+oFYkYdaPNZMC9QtmqxadDfCaQOU/EfhIs1XAOw
cSf4ewQW8f32jnbFXiFHrtg/twUpUulokgMsAn10mBjWXEQKvszrlMSPdyybLPGDn2N5cbtB5Hd+
fQXTqjkS1UWPR5q2ulRvaU/22nB6hQDWXQAHiHurqU5RG/R0XgHq9OfNSIb9oHG+JQ9zOyd3uZN1
eaLLxHzQY+Xk+Wus+P/XtdIc2766eoqW49aLEY/0c0Hlsxx5+ECdVNp3C3I3GdnviwjzNiNlxzoL
jVwqSWS+axWngMOaGOYt+6aJpqdlKgBzEd24Hk8wN6SjrvTBqTHTmo1H7kS4mN0QNNglti4z+I0c
vHn/xQppQdhd6gAEVP2gKMKEkpNW9dXB+mi+yyfuDpanY8REg9y1NIjcQ1lmGW9glUshMTQ2tJhY
TRLmFr2R0zw8ZCju83/1Y7rshATqOiTCvsPDllLQnqlQX95CYMavmmfSl0Rb2Y4zN1Js5TmT+wOL
JWizMz0WvBlN8r0GR7O4afQJj+/DtlGZ/Iski5lQXDftxs0aeKXF9s62PiR/Tc4ZDlMKIYtk0Tz4
z48C9dx7Kuv/OX7j7Qi3zicFj9QwUh19ZE7SNRj9Aj+3ZMFxb9nOODrNeIPeppHwX1GwqUT/Gt8J
VYJVaUf3vwTPHHVDrP2cWKHUvOgAaOjYXQ69J3ZzF/rVAwjwkKkTQHQIXRjv+OvhZU8nGAnYCnnR
D+aqxBB1fnpCQU86smXNkaQ59dNyjLRgiQXwe5Pxqc4e4E6djfuNpuE1eLXn+Cv/DrWi6EFYjKyJ
AqOY4GWhDaBGuFTpCEQDj90/2Q9X5gCT77dav9fv4HWxepwKxK51U1uQpny7cIczl1ldJO0mxALC
5G2DX9telQCPpQmkdDZnmEapBwcfH/RyCJbLlu2UwjPqeplP+kVwzJUVh2YOApEB/SFKtXVmqALV
K3SruB2cdm/dv8BsCbp/7nC+vPVuFUv3OnnUvrt2ONPlYlcCOr3SIjxLmNn1R81AzZeof2ZJZj+A
AXi4ugszJNwXS7v70i7hLvFacbD/Cj7FGQ8AMfCH+zMOvtPg4uL/YTmKXFV6TDKGfw2/IBb+BAVp
yJRfFtcp28V2dOxwuUayiRqkRIV0B0JdlA3KNQR9LrRKSgOnlm48pIA5MTSQ459/+pYvDrr5Cfs8
blOENIGe9n+kOzjYNjWeu3YfKVKNCa2nhfsXX4SbdzC/+9IxwKNgEsLljsBcUNEtCpqkBwPsrnYw
nigbUOuhao8a0ahVOsceK43Evg36G3N/z6cQDEVkel4QjYot0YC2WZqQznfHZOQNVDfm6y3HXP9q
etf0B2aLlRW+vkIT5tcYlWpqk5biZFFhTPSN8iVxOW7Ihb+/phRrsaC6Cbc/X7CEJTfX8t2ziMWz
4vThxLM5+6cgDpXzbZqeHO1XEFQ6k5O65lK3LgkiVj9dpvUTU8zhK0iwjCQhT8BClcE6IXNKmBxZ
f9HHEwjI03Za8ouLc8wDh9GYw8VgqVBAMhm3tvdb2WVv3KzwODQHEzViyhxk9R5kT6goqjj71Six
W6XfPyOWsiWXiIcyy+Q9jN/aKF0EpabJxOkB70aw7ge2w8IfaPRU+tlYXjUN2LwIl33fK+Am+GWj
/NFvJxqQ+NPaU/TfhmPu2FexlRDF6JcvqBn+fOIkhZsS6YHxDACH9L1ePm/Qi+QWUicVVwm3GAlQ
45eh3SNjgsv8L/9O7jHfNJeGOvZhWG2qtrWRSRs9NRLx9WalbUn3qzD556YqBdS7eyqox2AZlM6g
i5hNvv8hyJLOVNcjRUBMWkUjrFTJQg5YcievjA5d4/MkwBqhWa/MiLBabDcgewHOvSA6nhxNrtRT
s5mURZfsjezSrwT2hyLeL38bDDDFiRIN1Fep4eMjgLbVvw4A4PLwYOjYOizbkXYJK8xmAWI02XCk
hfKPTmC0Y0g1p4i5F+4fvAzZQ1QhaSB5p2M9xVNZ+gsR47cszIRPUxbdkfoqWjVj8zqi3KnrsHcS
fJpsb3fQSfKoV5Ds1lX9l5hx4d/89nycE/zUko6kiN0bBEHfhLng4KnmaV2IrDI5bz3rnf8OcbQc
5N+2iPuUaeh8Q4elyGaYE529NGBLAVH/eO/wBf3bK2XXr3IgZ87cUOLSVD1tT9qDm+znn/3+GqGz
Zo9jhisCV9mW4pG/Xs288NC8Ssv0cTYbg6yhTkSt3J/6dw7RrcUqcMiqaGtH+Hlgl/Tmt5bztxx0
JdnDHLpwnr8w/KdAhasFJaCUCIZVEVS4dcouOOmsVM+qQUfufB9PwzfgOhrDVE1bdviA2ASGDEK6
NysCyTOfX8anaNvB3g7X+umvRKUW++j1cBVERlqNCb88SPxX+5PSqMtetvVRs0VWXQ5Uq3M8YxHb
h1uze8M2sElrHNoduhdWThjCdOOzzc4nycfQMddXzRD2dN1FOz1APWeg12Cwici1DfYApkQNamyY
5krSaJOBqeOmYbokPRPIQWj720L6WUEn0UJLpsaYSTrvnEK++MiLSy8gd0sIdL/07ulW+GwVY0k+
rB5RtVyd6n0pLabvYoSRNDdvkDKMOXzfb9Excc+K+NrOBxN6W9fLcBOooMGuhRnJgGs2lJkPI+Z+
ethhcmwLtvysqQVv5+/OIhNfiWXB7tnCC9GfLmefiIoBiJS1YeX0sYbBPLMCyHoq4BkmFFd0HkO/
ivFNuR2Aavh+gb/4HwyUp1bALhV15erujwYp0TAE7o4Oc9RER41uSov6tDzJ1h/q67x4N8L9HROE
huS4xBK08PbHXuH+EaP6oiwO0KzVL9tDogrXsfz5+U/D561A+lTLUU7z3K90X0A2BzJPzgSv34VK
tA1Eu10AkofkAD7tRwTWqU0W7zxyL90UMvaHB2Ddbn/Nhn2wF+8e+oVcIDLIQOXB7e26cOvFUnPM
rbQs2FfzUXNVsDsUzn36xXVaACtMhJx3rF9XZXvl4gZmRy3PjdK8EsoFmtmdjNaLuIONawQmUP/L
9ZIyw2xtf6Fp8BtvERZFzkFjgCtAg0NrPqRINXGWELwMARX2p1zLWdM7IRRoWiZ2UUVJFRYmdLDN
GdtXFNtO2eGpo9Atj2cihLf3BhI1CCYaqHklXdfJJeJPYEah3yHlqIVEOSJNXTK4zMMRKb13GXbD
/ZLnkWLhWYO3ZxLaoaDFgdEM+uZDRHJvsr/V8X2/iuoOddA7T/RWjNkVLtJQSC8MbS9G4NV9osoL
oArK1DADqj4AZFieH4bRjSNhnCdXLVw8emfb92aSnl3fPgMO1iE4OJOHriYMgWOI+Wx/wLHNbaTd
ytdyj4skQBSv3aoqpirIynEqaJiAVkPPwjT9w/KpQbdUvXaYhu/93436UZfOgOU8sUKXeVVJFoa2
kN6cD7xJCh3vuX6ZR+HGT1KXqQsvL1MDiXwBXrHasGaPBdrJyLQlHaOCVjBnq2oSIEEjCWjf9kxK
vDkZe4dvnJElVipCXZ2YGfZU8XQRysR83fPfcnQFoU33OrwZdliaHVHw+UBcIaCMmFfoW8TQ4dA3
zBkJXbsJSn2QQU8B4dBzvWkHeisW/OKch8ftrz2D8F0/b5lR5R7Kqa8SidHm040tQ0xldAi0VntE
H1gyYtMiGQVWVKdjGTvl9XoTO5wTxAwYkcjFFhu5W1FTzwTnvFCfEExtKETbOxKc6kHECXeVzqIr
XJzV/d6zVNrNKpMBBI3ZPv1HXPDM9PyN/RGYrggNus2ShowdR2qKYReHc2pVrNDdtsz6CerxVcDz
dsWmZhi6h/X/nYDUR0wXJs7yLoR5bGxISzEQSyRBcVaMc/ETzEjMbjwOyP/bvBBRT7eBbu1Jdp8E
5x9D+Q0V8NuNP8IW7Zcqq9PU/groQwJPPbDDFtjeDmi9RKBvnLp2eQnvK27e2wc4H3o2RhEu3S5T
o837WJC3Fc8uXme3iK6hwFGLdfm8Vh2zUzSJa2+tUtDT5hXmDuYKl+ls43UVJWww/ZrDWCez2yE/
D75HqmwZ/guwSrHxNt7um3ppgpuvU0IG8krBL7ulEkFYZf3kYqASFsJ92Q1yToluaCYhh/+/DsZ/
sO4LyCoYHeR2itMkZP/Oyz82b4++4spRPfdWuJxJ5QckJhI/DLnENWmJxvNRbG1mhS51zGpVN/e0
HIulWWqTLpwhST9MZm72wR4uF9PRXV4A2kAB2q2vED265FHATdpaeAfznrw/x8AsikLGNUTjSCNH
K++v6bpxL4RCgHf9x+OgTGPTqleAqGF3lN3xHt1kGTDGKLzg/gj0doSZOfH7LhDy9H7879hb6lmP
zA4coDmiPEXmm90QGKzbui9RuX5g8djLoDLYtgURR+Qc+gN3WjEcvgb9V1/PLSn1UidFgsrgMVGM
t4y7NaQeT3fhDoj2W2fvvcuQ2MC50jrFQLbrCEbJjvkyvg8JTu99Svoj4YfcQtT1/QafmNB1cOol
KpdGfEccwUAvuL457sP0xSEmP76F+ZtlsOmf3d7dUNKJsx53pqKkUxnJZZITj4FH9nCtZ+2POT5f
I5+na5UoN24M1TBM/g5fK57pCeRAVF+Loi/60tDp9sEPIKCTd0WJTDz59sq6mdFCqBhWYjneJKgE
NeTsFt/VnzE+REU6GSuY2cV6/koU92Tl1a5fOZgqg06J+YYEOsqAV9ljqH9ovjM7GuvRjPWbJ0lJ
UIBQuqPYlMRgPz6XTAovhv7ZPYtYlFo2yUAE4EyB02pMrupgr6mN5Dx6adFwIW12Sp82EbJcvHNN
8daRwbM13qV1ZmFxIxhr/M0zdvRCA28TjCAkyftmGqOTGfLJwzgn5as1qqti6i/9qaHO5FYfvUz4
e0Ihaeb9orsrINxPzBmSYxv67mjs/xEI1JTJMyY8wlm9pxVFlcXYUPS92Tw5S5BwDa1pzU9X8FZY
zvorOqo5wVq5N0TjPM0o0vynkwc7RNawVq2zsVP0EV/VBLeIkq22NutD+iN+JV6SP8HPk9RhZGGK
/7wqj6irhAM92fIQvfEy+frLDzYM8x0Bp/zwupZIDc+poX2OXYSBB7rpvtlLJDPv8gWebEMQOBDZ
y7pkcRetwr5y7CUHNqxgHTxR66sChbog/JSa6+AgTY4N8ly6/m9ZiHyVak77+IyP7JuJ2dWDAOZ9
O6DGiPn7523mKuC4u3qVxKnigfoQfRsGGCZaRFaLzHJwNA2OvpU6H9vOuAsm+ZM+pNBHAVxktrKH
2LdelGRaYMgQMCuMCCKfZFhbn1yrIBxZXJAkcmFUIX2R6/Fg0TbbE/4C1VN3lQk6KjGTLU4HsJuP
SzchI9A2svoKDMF6Y0GSXNDa1Zlo9OVDZuJBn2JPHA1iAc0yvuqb1qDIEXl2FHbIw5jVVkxbEbnN
dtql2rM4m0K5+MYzrJcwvk4nqWZpK4U5ETJubVz8E/daO8WwhsleoanQBbqg8J9sRXpsq2n0sMkX
Gp8iN5TFmzJGqilUZFgr7VAw3uhaFqscSiYFfE51ZRux5mD3thSyERMb6qdoLO7kBW/WXXJLCWhW
cT4/7Axzr+MZv+zrlqeQQ+ccGbR3uXSqg82REBgDwqt5SnwubGuA1jyJTAHcDTZ2DK0ZhHRNndLe
0yS2fo4zjxFAzmpZ4xtofPObqsqpryVEOE73hangm9VKmcdslFn+Ufdvj54fuqplDDegHVY5FxDk
3AdfxDXAMGBPR5Cs6OsbIsf++zjQvcEuTZ+caUHcoEhELrJj5bEIgW4Mog8i1zq3ZyL2AhC93ekf
W9/3r7iL55S5g2ebiEKk91D8VGuzGoYy349y7B0jo8Xpv+kzuwAjM9l79DTzfDaJLyZyq+h9nYJ1
sGNIkQ1rG3Xct6lXd2SKSK94PF/V4xvr9uMchgJ4j7EqFaqXH1tUNt9Zz+T91exmkRyTmrE1Ud92
UpAn3bRgcqhgd3LEgJflh3ssFTqi6YJ9ZPM2FCuK1c5n38arX6kxXU8or3xjvx2woEdzyVvnfpyp
jjWqF9Ua5WLMIz8DoYfjKpqQUxL0bOHb+mftthqhGE2a5EVWzyV50AcTezWdLnRHpDeo65Hj3507
5s61S+TvMLTQMb6U8AgiBI8bSHlhA0tkv0SrYIedosBIwbk/r9+juz+BHAthijab1liwa9/vuOsn
+r+QRmfmezBFZB2cExkwA6ilakh2hWmT8MZcbdQ4WmItSnE3/IX1KlJtVoXzXomkd1V6BCwHyG1d
8j23IpJUNbjD7BFWU+mMHKG0S0InY6jIy5wZtByTVAX6jlC2PweB7dQc+Uju/rubZBMSzya60YKU
43Je0xa/qzS2Gn0bAPAMXTxYXVpljmcjM5+XrUgsgGQtgZ0nX4MB5CCQvGBZ34lyMmpYOZBymblB
CBRk497vYllpUQVwfpk61OqPhef7v5mxUtl8KRl+e+xASu55BQ8qF8bCHMfLU0FsSnYlfr5p9ZNx
xMo1nk9nrT81ZoDiCzFlAeYANnj1tiXV//f42EDd3hm1zLrw89LdT/bzAQQPNHt/jsvoWRjXaMbB
R5xQ7Mm9DjkoxDDR/HvnWM1RS10QMcQHKDJ7R4PDs6klQ9lV6cgl5KTSDDAEGNAlyqnbMnCDrXi/
98Ep4BQr5XoqYp8hvMQIbAMXuoy6PtMDlzcHPLg3JmgHxGPvZen+0leDOn7p3zn82ANLBIs0d7nx
ZxJB8iLLgMp29vWY73xIx0MjyDs7iKet9zpzIDMRFFRoTEyxwohzeRC5C8vJVsW2WFtqk4c7stHX
PR7t6jLNARRtaotbtKeVhBG2ElWSf1h7tb9izPl7lruxqz7xxm6LE+TXkwa9v5v8I4K7vL/G26ry
qiUDzqeuWTUQGS9wudlPIzv5xPLSwPCrJF0gizFtKDxN01A+i1eQkZy3yFoi51Ykl09DX1wSH3nL
mTL4MFXROlreGRCUzKZriTkvWChI3dBn29WJgfOqekEUrcA8xZXvrIHwhREy94YGa9gluz/BrOMS
FTc6IeHmxCu85B+MOado7oz+Uk4T/EAOJ+3/+GcnYMc8Uu37mT65lGniJOa7h/Y5NaRFrqx7Sc7d
j/7k8piQZScyXHjnsxkBxte29yFPFy5bbJWpW6b4LfVma2WWo8K3Waf4xOKEWt1aoBnrna67qi0l
5X7Y1L48oNXKFOwSXDHQu/FovN0mvsV2O957i8lgCx/9gyEEvAjdUvGQV3sRINsDopd0A5BuQJ9/
nS43BFlaB1aqSSsTbJXyAIAb8wukQthlYWID86m4RRd01ZMc7f0v4GVVXeHSnz7ACsUxM7D+Af8q
7H19BjcKsgImZf05vDlKKxnUYDsONL+rDuaQ0jlWCbZnPEAQs6n0JhL8NN+tghiSojizPbjD6CLp
1K2QvR3i4kSI8aFlZN0YHDWegTR30CMnEaesjzCrA1SBa9nRlpA6iYlg3/RrPbqoJ7eYllMEVYqA
8bEJcE9F1Hut8CaKW6iSdKt30dLi0tJ3eqQoZJzbkrlaoVZUvl59tCLpKkqlW+MRoG/BdLkBjEUp
ymhnuJbaJRdUlP0z1VxTjCuszhGi7gNVhege+UQToChkNtqPuJX7qLlQo9ycXI9BMRLZwM8T3iob
/4oD0Sxnt4gBhAG/3naCszjD29UVE5WPeUeIVlsktNKMvFOfEfLF0qYBuxbTQn3deyKRvnWwVQcq
RLqRp+vYXOoJJFMVKn6Ii88hK21X1/tNbhVTlDhBdeA7+TvKESNzy+W1tPYaTpieDNfFW1Z/GmFi
/9+Q1SVEz9ril75vpN2BFZetMsX8huov38WUEWPflL6ZWUi38JKsqLVawH0jrLT3lono8ZisuzEe
6d3jydopmqyE83bPhyR2uT4dBhCKbdov5M7sg1QjnIcUBmY4jX0k4siSd16hB0X+NzXbsUlKENvJ
ycabyVfDYI1K/ha2Qzu/pyhCqOY2V7WIE+FYz9guoZUk1ge38quWmkzXSPBS/NSEwFS5b6IIg4Wu
6pdUYW8MH30b+QTvXe1MpyaO8JqG+u1SLc9c2N/CYF+5YbtCpqpNcBo12ugHQXx4WjJoPDddY+E9
FUY1LlWT+vM9yFVtSNLpaVteS7rCa5Ia25ax5iDHodDQz6pbMAP/O8kmhbQMTVifVJKdBU/xPzUT
Oi4pw6Tx24bShHG3/Qy+6kSH12I9qiYHDi6Sj/sts3Xiba+aIta0doEiP0pdKqcCXPPKfA0au9FC
jgNjBj33mMKGAYoxw3B3gx25TndCbX4G4lLTL1KTS8SCurETbS50Gk9jA2ctaiaTuVk4rIoWJN16
fojC2yzXzwcXRTRrXFgKHA1b4H+PMUx4/fPqzdzkVmE940mOASZdn1+U1xnt8mhODxOessGmCb1U
EPSNoDjSiR+TZIHaRtxSd7mU/88vmzsFsFoP2L+ZbYe5kGZqA/mIGuq8GHIuMIILtHsE6N8bOhBU
KNnh8PA40lwMcX8Zm2DeYynPbjyqwhcok5R3ElgvBLYOtZwl9OWKSAUkeuXonaIv+zg6O6Ca7zRI
45HBMg5+Cm7FAZka8x/aTsB4BMcezgWJ5uKpm5T/bQRR0MvJvlgSIMKJBKT4Epkaax9smupI199f
Wlw9WV6JqksoejWfRk9L7FBWsNvUjrHwiL1c2UHChp1LxVHRKi/YrG6Eg3sKv/RqQeCrpKG1uLLT
5NmdC3YHFrW/Yq/9bPkJxRu8VfHRxprxSsUk+2hZvS7yWgyKs1K6mTsq/ePfPmXURJn3zhyeeRmz
YY04dA4xYGAdpRTMmZyHoLtoTOcKeoGNZBGrE1WSdqYgF0ouN7PSMFRFGv6VabMmvVKsVFFNTjp6
B+9BwKBNIdsq3tQgB/4aR6J38n8NOHTNrmnf8cn4l723aE67+ykatElTA3uiEhRIwgmyG1Bakn9X
blA3LRwbgx75buXLOCyeMQnTo6OqSpWRXoQSeJ8+V4Aokb3NLNtZozfZvPACbknF/kdX7N9xjL0C
d9dFAf8FXj7PQbV++aryEhktr2X8IcdB+avzoNcERS48QHvUJlGFZxv8oJr5U3o3wj7ZhuYgpu8z
2oBZHO4193bH5596kNCRbrl9mbbuT+s+zjjh68VuZpvKL0TrJMd+1vpj6KxhQaDKxwCAzc/tGWOO
2ucXKnPM7dQ2Q5pPpwxY+oiohxWi8eUN8ml5lSHroAcCiFukdg+9AWTTZrF0NYbFnHy2I+Njq6SR
hjeqPwkJ/L0mjGx3dRElvU+LsES/WU27vbClDPcdIARwplwVLFicbsdoeUeFlFgLVl39cV6tEYmo
csL82ClSvSg27RyxTm6mdtJzJZTf6Q4dhapxwbgB0FUkg4fHvruwSl8OWrbQq9QNbSegHEsgZY0u
beG188LmtiAdlNKIAkhXvjpnxcT6cC72EZodv4A6UNqC5Z/zM4+IuZAmlkbp0+aFJ2rGXFDIrTU/
fw/MjS5DA0V49UYhhIShYZrJ7nQYyhgVTqmtXxGBOsX9ne2Yp/nll9o9z5CDFRHEQZ0YWEle4tvT
Oeedofu1wfAmrmfNpOCP+ZsepBTsoGjcsYFy50P/D3MDPKiehixQiDD19Jd2AEuRpgJPFe7mBq9H
8CSXEQa8CcuBP+2O+FHZqdLnEJAgLo6ZJdne9qUy7vlLGB0GS1P70zl+DJVhuoH7LQlLgbj/90d4
mSrT9ne+9yFFi4QmGUvYe8TM7pimL8D48Y6yR787nxPQ01omNwO0NcV+kWIZmBCpoEDcGi/yL0uI
cAsdmNMdj/n+BOkFCt4ogJvKgOZU3/W8MUlPDcIdrNz1GPltpIAq1fckjTbec/1pmaAo2VLLc6TO
vrrajnt/qOcwQfDSMmWrQZEnDfWKl8n/yxlZkjhQ8rM7Ydv0pE5HTHNxFcPUjIInC9M+3ompsJ6i
7OQnzrn1URWx63kZpmcQU6vXuFlT8gvnu7laPt17CQUnDdSaBcE3LWvqs5s1MtDiuUNUBICcqxzk
vVKEdp8voRF1o288XLzpY28O5sVEg2cTvR+EhyGQHWmQ/AMrrJLosU441NuPCGMbehDkMafuvE8Y
FMGEwHaSC0JMUWiTHc+hn7OdiAHNTSgdqWpce//WM3whEZbB5R1+fpFqc6pITC2kDJ5guz2Ce86h
gQD3Nd6USp4xYBVWuJrhyUSGpI9OcAqYeQjY8nEPnYzmOZLL/Dp3wuwTzd9u8H8eINVJLM30V2jb
laHhw0/NZRROltTX4asnJXA2XU648CKs/g8pLAGLynRVfpd++Pu3F8xR/8jlIl6d4eBsghd2WViH
EROtuo6YaiH5LJfTSMEfqe0RGCQ/I+UQfW9gvHPVBysSR1nh/S7giuhM0zYMxiL6X44uA+XwJpX5
RcdVcrLLJInWDfJRClrJdMJOU+BcTwf3s3fnji1VXk3ioaYwsPiW7ixnoBEh0nO/ijQSJF9Gf8fn
cutpYRpw2Opaz1BsgAfRW4Bz3m+3D6Xk5LphDfqdRUfPHz7/gZu6x+9xGGGpMAfPk9LMLKk/8zn3
l1OqqBDA6YS0HI7LNZ43fZ0cd5lgAFsGa+aqCUBNuNmH8+HxNGKOCloYNKYa2x58yPa2FtitBuzk
ef7+kP5EoPpoS9D7BxivtZWqgd8azPDCWRiaqb/zWN+5HK/D3omzCA6llzOc8ZShaRl7Q0+b04z6
8dpcaBG+51sF7qJuHPQdbezbBs9ZimoO7aJgrR7BFiBHhjqHCToeCBkkbu8x1Qv4/C+qsjvCbfBU
yaYJj8bstUmHsO2hmpFj0YIUJGfWgDg6Q8CcdOIwY57/GPaEcOlqRd25jSmUAMBeBJnNpwFczNXJ
TDjasrBMd/a/15K0G7ieRo9VxAAJ71sMaUtu5OyKXoKwM6Qm/4sg3h7tx99vnjHD2wLzNwK3QfZ8
+27MaV9TWkajTaD4e+6ZVJuG5SfUnBcIR4Li9UY0VE9QZkmZwtIqFAhA0eAOjmz3Kd1hErSPZXsm
n6tInmuGvvmerYPc62+nC/fHu4oKlV+jF+pLfwUgfl0UvJwkuKub8W45iFbCQNJwRlVTA9oYBU0X
egv3ytwStd9ECBirwvODUNsNgrKdV9LwZYGJB+OQSoqWjZg/fgjAImROKJHUqkzdyp+8vW3FUW0k
lUggsBXgw9cr0n56uPSZUMk/+pn1sRAzoAjrRIsBfahueFvX8GIi/DabBB+d1silEBqzF1SgoRAv
BlgaR+Rx0GwgSdhYfdDTV40tMqWBe8FvOdD9RlF68Izx3QYZS3VP7AwDmUe+8ReBQE7D7gOL2DnL
NMgV26Ijz4PhbBPEp3W6wD+bG4ahrlpK4qJmFnuDUsoCGNrgAQIeDr7Rsr79TZlfFKQ7+avTQewI
BqTKR2RWfkSatk1v9BB7GuFWkoB6dke0hAqZP9heHxZnVt0KgFFjqv0/6P2qx3GiYKmB9LqTAq9v
g6dkE45BbfpYo1hKIb/zacPvf9ggXJGCIL55wKIxcCp96bbh4ddE20PSkmh8a8zS+nBe45KgpX8M
dNAJzPI/KAJGzwP/dlLp0H7zefWMOZ4tYwLofzG8jJE3J5nRGKAbEvU+80bYATBqoIBQNEtrkscp
sdDfznWvvRHVqubLL9tWOI7xgtS27j/1Z4svKnOKPKBGxm+C3Z51Vj4Nq5Nj9vXvY1vgRZm8eYDc
sY8EcuZE1X5TzdFPRfyX5ycW3ZevORTn3tuUoiZfgaLFMqYT/7SBZDvtBlNZ1BR//TjJI/7Yy5K4
P+VwOSeYRZvgTQrL8J/8xknKZJbm76xJq3ynP3+lcmRe4U0Lp8KJiN1QmSQahpC5o1pI0R+i2U1h
sUGnnfvmhLwLQuQkwht+CW84A4sMYMlCp7iovYePGsHtLUErH/UNkzS1vAdPYD7J07yz0MDcSCI0
BQEnKTBfgAsGX/9on0RzZ7s6TdaSTVEOuAFPgWqCd3x9krSKdzMi37wG0LAaydjMPJnQTHILlhN/
mcUpkx79OCiNfK2mmBiwsqDWRvwipY+BzcaNLVBWxpTeRO/ZcqStdKJQxs99uZAvUUB2adWfOFzV
+WAq5jJA6h3CyFP2mIiSknsZIcm8KnfNzRBzvXeQgjpZSrkWJq+Etbwk/HjpqT8Ujy6ssfYfyXjC
JKpiETShbzxZnYld65mEtis83J9vGDqyHkISHBV61HNn49HCPNLK586lJsPcX5IZFWFgyOFQyQb2
rowF4ZBipFhNcPOcAHObHKHTWyw1lmC0emCO/X/Iziu7SDU30nLn3hrJCqOnctHwjN3mL4NgW/r+
MsjGnq2D8rw4loP9xNkt1NdoSE/VTUKtK2TixOmfURvcq3ttkDWQ20/7gOHle59KuduhVNfb9mSI
Kmi89sLMwZ22HY7TgcusdW9Zm4Zebpw1nbWdiEBPOhBQgefbb57MyFK6FtViJrFXS9SMPgoLQb+Z
q0PAJ1AlzSWQMHiViWu+dpYOIMR/sHRPsC4GaU90xo7fjPLsMYFrc2gOPctpeldT8J6lieYGi+IW
xkySmNDGXxINln5cZNXsp2sN7UOi0oyppsLqHWoT7BAoqjA6aHKZYVEMbn3z7yCj8exO7dvnhbgN
kj+75ognLBlQwyZc26bTg/+OzqPEQ6dWLbV0Te0Ov4cyM1uCGL0eEcoi9jyYAWXHt0ht4oEyne+z
lDhxyc4Yn+Xpvdd5uNLIQQ5OIS5LGxiU3UC0zFC9f3+sEGruXyQggriCsS5fg7wD4h9CwlK7povR
FJKlMVH9bIQWNvto/+zZDIcZIuufHvjJPyYiioiBeFkKcoTOSLYaMbIIvn6CBnSdbo+nUdqw5U7x
xfje+GVxnJUx4kvYFktQsTqkZECB69UUKFrdfPccyz5Cs2ufGmIZ2G+IFBCN/rkrsdWDydOv15a/
eqP2SRiPURCED5Stngsua6Ty4wh7ya92ez3e0e/ZZ5mEjaD03kQ3Hf8ueHVw6LmxHO+fpnZT7YhP
W084obW/EBEPmpuXyVtqMMhF7enBnFYDF+ufafC2ccaGf/3kGkQd93NUoDc5OuIyY4NTGAa7TSmw
AEgBQHxr7+TrYQh0gfCpUrpiMcpbvrOm6xTjUuGNjs4IVU2wNUMCylIZW/G12qR1nMIi0MRf2VAz
h2fc6Bo8nX1INYuFKqXz2A3KT2NOgftMXTxd5TlmSH1Y/8WWHOqqYRrZ6rB4xBipzpni/iexj0se
JXdq3T3JSFAljxs6Nx3hCUKuvDfi0MBgV6PHzArYnA8ieHacFNcYkgVO6SL/IItc+2d5jFvmbOFg
X1ptbORGk7nL/bf8jwrTDRMxKqHXIQVq/EPHh9jQUa+5SYcJX1ymrl5z6JzHkkRAoYy7VLpR+UPz
cW6IMSeIcx0yi+GLqoeD79sYupVhioNSnrX28q9dDm83CzB7XZlST8RlQOnVtmf7G5/9WmhEu6uv
xDvehhtTWFOtsuDiuar611SYpml0skUYmuR0Q6SWXqFVuKxjggLSqFHfBbw1Ua1znQWA2fOPim6r
lNwU1g9/1ye+n/xN/5EX+gFVqabOXcl95kfl6FaxBbwDBduR5LTS9PDypm5CoorDhdD/8nERqxfO
KxFqxJKuOXCL4T0D1CDVhvpnA89q0FHlffhv8ikDkgJD83o6QaTM20YpF4LMhPk6j9tyErJYoUpg
Ut0KwMiFp7o8HbbrXiWTrED+iiq5Lu8ojzgV8g0GW032PINbctYBXfBtF6KN2IDFazoTuB+U5vSc
lSi2xWEe7RRlFX6/zAMvkycV5YFoadFoWXcCXJptwdLRGhn90nXEwjgfnY0A6COEjFkvj8I70xwy
gQjCmFy0EG+MvXCvXyBAWE3X+vazKodsza84t5pXG9H2vRp0aY+KfN9DsgVNWuTqa9ldx0AB2HiI
mh5Tr3wp+quxCF66C5BEzT3AEUSijK7gkc+5IloZoerxSfTCCXG9S8RTA41xNKWeEztsLPT+rZJ+
xGk1NCaan505EL78Z1ULieHJ9nO+3539Vi8O7V6YAkBCtlKoVJMuS8zSswa0oCkymSXyLbUBzT9f
/AWig6OUG6oGKxK60IMdRWcgfL09nhvwoVgRYRWxh2X30gsSvKPKZdeKT7rQ4GANIDfp9vzhN3qy
/MCW7Gj8636uJDCBrYTHfA9Nx+BjMKnyQ+HwUetk1HI9kFL+HXyelJyCU+YKuk9gSjvCyYqOdMpD
u9eb58UWTYpHUiaGGoxJyOQuU0gPRtlr6zfu2jp0vNuCS8MNKbR0atix2NdnqRtqR9FQIKLbyU3M
DmlfTbuQRKqDSLv6SUhp4784nP2t+idp9RQpu7GSQdo345tnt0++N2/04wRot1Ez8/dEr1UGOaNa
inAjwqQ2yf9pxJv2glZqVpua03Vrvqh4xO4IPOsRBqF5Oas5BgWSChwNmPGGf2mIm3QkQGN/g4aF
bfX8kM+B9JMkcOPpQUBTl7b+NKYKh/HldMyE/wQpFFkMEG27XVPlCYt8WQeRchnpPmNKBp/2j52L
2aI4HhZ8V7XCsR0kyuDXFhCqi0nIUzDWMLb48WA6KgMUaeb/0QJNCpv3YPb1+7iYaMG6aX3u5akY
k1j3AagWOggpPfXXVQkDWMlTbvKL1/u1AQ9hMix2fLnFb4VXP8Z1RLnEjcThM/Gc6/lUvfP8TsqN
DKXfZD9BA4kd8Lf7ez6RLcdRCIzs+ABfSspdCiT43neukfDRriMVj91VmIuMNMVSQ5rhPxgHhL45
+4ZC2GKXD6iy1OF608vmey3+/2+iWP7FAlkSQU1wBqO+YAtW1qLb5vZOOXCpYiVVURbYeVxRdnjQ
jiPErsyL6EEDbNoXaJVoP9qLi5g3bR5F3u5sUso7Gooz86Y/DzMmjqEJvyPKAPi5//iWbdfJkHUP
GM6vPuy3zDoR0Jf7mm6KcBF/yoBrbZkqhRs1At9/uGqIubJeMTOMjhHQTh3EoIZwCP7J5ZHZRmKk
67j6PuN8ZdBgvwSksYG0Re0L3FoLhi2oghHZjVTQTcV2jHf2ECHRyfp7A1O9uxGO5HoX44G6mzCh
6bS1hN+OSTiVBEU9GWxhJhxBSMC3YrXBF3IuktAGmsB6Sfr5yEg/UV+fcIdebHvxNEZ9IvDQe4UC
8TprBV1BKw6zIegrXR5QjUjm2H9KL5TCmgBVOKXmVrhXRV+6FdLxXTPslAadRurorAgK6tOeoAT/
Li1/i04rYbl5oK4MxNTZwYhkNBDB3Y5ZAIjUTbjdwRU+eg8PRXToN4rwtm2nQpcVoAqpqMQ9P7xf
XgaOy3D92pSsrwRBOI/MRoXLjFMNJDzRg0ZxKAbwMOPxdhGbJ0sjmT8gd8vw4x4KepDf81FOmZwe
WCv9mgIyVZ6bOIHYYJf+HS2J/6VPggBosG4XLGpVBcRHVC5A3lWb6QB9n2OacxHn56xblld0bL0q
13mB25dSbrNrJmMW/n1iubWzoZ3Tr0ATOKK8yG0F8c6j8eOmneZwlQjLUohlzoXYbacx+fvo0V1O
JwNHcDdF2D6OR7dd2S/sPfYqwMvAi3RN+jSz6Msa9gEwj3yfPc9Px65cMkjKeF0mvt9fG2vtoM1M
AppV5r6TVoQoJs4Az/Q/Rkj1EDet2dpBJMmye6ze5bu0Ny5KJB7ReMypyujZ7usmiDvwhZvB7gvu
gzXkNvuYbm1br1KVaxs4tUAkoezItIb8tNmyeHIFJpGYKTnRjPpiH9R6EQc+ISvtr2Mv/D1YhaU6
CWFMIV5gqvFKB4E9gnhL0dvjLghEztdtEgYClZ/iHamu/XmARetSEw9rifnPt+OP5/TqTLCgncHX
1m9B/IyFeJbpyZSgTKxzcDavEl6bsJ2iVFIXzWLVgIFP2plucfFoKN1G0s1oBGG+YlifsiEU5Npn
bqk0sOc15N7KS4Gu7ZgicxwVPV1jrkmsN/nwM0JahMY+QrtCb3Jyksc1ffXmldAx/rJMtPZYiuoz
mlNqs1sSMjWIeu0FzvaJ3m0zGh7BwI8D6Mxi5q5N7kIocqovnW3FwtSY6gWbhJPnK2X0fxappOxV
afARD4cHZBCwq5SDljR2C4NVASW1IkXh1MSbeiXwe4u+4zeYzW78/4UFPglsg71FP0xZCb+KKhSO
8/F6zIoL1aHFs2GSu8ktjR44J6TuE7wfE9FGMUUr4zXuowPJ7o336sBjBG65FYatNsSBEGqw4+QA
7iMZ2uky0b213V/bS/+G1Mz4VCHVg86Mz34DywXTNpc4NAmLug1qOPYA2BEfkDz64LiDoue5+sxo
ZjuW+iAPAK9sqZ/DmFKgGI6+iiEEjtZOdSHhPi1ss9lCSJAbZ1af5uCL3lkqHya6rXCNNjKeCOIT
5/Yed4KGbB6yAVitmOIrXKmtOsL1M8Gi4MBXCozf9z/uvlw5kahgvhkxq1/PkvK5NSYtDedzvxin
LzWitxwCJa8o53UxK/6Yh4/GKS7oMsVBsDcYfLtZQ4fMHigqpv+aI9y1lUB2VHEtKi2jrM790bAN
w03cOKGSuJP9X5nwwPszmxI/7U3gooBRZyCMk2skwHkPGgfTsCinSh5Q1vQKlqmJBMB++py5z2jr
IkbP6qzL5rhspVX5lhnt60uvwanq0bZKoRj2tiIm8QewnQMDyMJOr5D8teLbUGXVq/HZSO3dhFVc
XL1RKd1rcejavFvey9U1/cq/jH9SYVLU0SmX2jnSJsMi864vJOXZd12x3+hTuxc/LOQZBuALpYar
/HscVfD/YnJlufvPGTj4Q939ZhD/KSAMAug/cWmTGVThbSz5pmVxa4mHb8AbwxxQFc1CwWJQ7L5/
Ea4/J8Xfi+wWC1MEEgSlnpxU0MPTWF5ybziaJdCagWUBs6WMnVUQ1gdlIi9GoJGPKRdqObvUYAxb
0QwqnwDR3LyH6e+BwDUwrmyDFtfGLx1X9mGMalujWe+fBwyfx82NsZl280l7SeAuUaExRdsSOMDQ
ME4c96eAt3klHAVtXXAfLg04zWfq/g8FkbshBP+mUcLdkYoYPCllc6J+5PepFXMhVimx+2RfZLPP
1W8JLnJOAMA0acdo79STV7nrB6Ddx7AaluxYidK1CEDEwhZZvS6MZzlk6WI71WyOYwnHAXc2yQ3P
jKkvxDGiEetGf5u123D73yI5D4tzkksJGlegYTTTo5WdotZLSqizEyqReAbfkTg58Jf/IiREra9A
J1Lr6M9KUrHd3EFBTjkmkD9064rUAXNnKrHTsBcd+MK1tNbAeMbNJLSEBCB1j1I/+QJP6xYYmtpG
YKHL4PSwfAk+LL9VyGJ7HC5mYRREGxndrkCC+AMuJqSPOFEaQdvgHShaHgsTh5ZBuwTLtnrZf4OI
L+ekbULT/l0hxXn5qOw/MN7Occaf+zOuJuiMbPUKHPxiSqgvdV0f/Z8qQvmRyH3rkV14vV58hdrL
VUUD270EdPqkx6tQ/05SYUcdLuHpqrgY/ldq7sUzAiGF/0JCBzcvlWvWUJhvLz/DREE/9p4nQakq
6AsqFAa5Qm2cj3QPDRVRwcDEfT7+n/UsLAbVoeAXKhfIGl5LwEzRVNkIEQ/mnmuCPcdysJnjkGrn
w12mH+pOBG2lh4RM7ewkcGNWjZLT68LwdvrsJSze3dnJVSUiMs54JU965/0yW+L+zSCtZRVbWja1
rwg1EsGxTO8ZnCd85OAYnyZIASUg+z28YfEJ77Z/gpIrPzPpcXHhbsDVgGzSyuKc30pbfEBAz3BL
eIB2Em6NabeuyTTtHv4oQ3bXrwcWyfuNEbCxlCLK14hkq6T066aEJtFlHSCxIm7iYM17EQpwKHti
+BEUBlYhjo7XUJffLbYDSPzYqEvUip4odvzjKxC3b+cZgHyR8T34lNJtDMSkCWkP3D+NpCGaryC1
YhE9TmNQm98owWzZwImIwvP27HVdBnVoDHtcN5JXao3RBTqn4zzMJzzAFD1G4fpXHcK5loq/ZJ7d
uLoyUY4sz2sRcYV7mEbRa8WmHUMGyy9Mb/BLq/IsaNUY2/y6/oWczedLctVrmMWV0OGUWL0oLENz
qDlpA1YRIeKa+I9TrmB9VdGBdSZYwXT9xrJgDyqDeo3EBHGX1uo3cNbMBYKmnSE1DA0itFNTJ4Rz
nzxKxP8O5d1lfIDtIpZl3rd60b2UY54se3kSBpZd0u0y7Crc/KnghpFmHWDhx3xSUkQZhHFYrJMi
E+TN/GcVVP2LOZ4O8r7I4r3Jl5AbHRDsN1woqHatc38q70rx8GkvskL/mM69AN4lb1Yrkw2CF6QU
KIK+dokuVT2svxZdwJNFOTmtuBcHhmVebR8nQ9weJ8jh5GSfg84Mh146JOObQiOfPmmd4MThAcaC
TdGHRCvfxT9zXUMO4P+lLkamBF4ynvJc0Md9wnMd4oBs+/7ilZYlk9ntc/8xruf8NYZj1rGfWEs+
sNhM93tmhXk4lQN6NNECJGqvD/9N2CNF4eX3JJCRC2ih8AkCxI1yXCBkcYJcK8MlwWUDJWk5AcAz
dPVkezn/QccL1R1bFfr5+QMrtfhk1PCKNkDLIAoKo6r28yiXmcKQxEqKG7jru6w3zQNJ/LWDiRMg
1A7oMk3THC2XwkMajulHscNCm3o2EegW63+KlRbiJrz6nygUrS2Pm7apIE3JoCfvoSdbvbiouUJa
zretuEt6qr48tldYkG2K8+qvCZLuYYN9xCswVcjQIiNekBzEaETlBc11zBDq0qOoZ03Df4OcIkN2
mPpJbvxfs6fLi96dZpN8XF+OJlNYcFHVnjzQTYnSAuV70hsU4FtP1380Ec7v9nZPXpBR7N1P6orM
iNY7ICyx3tH8hokGhk2AdiTCTNhKFTtnyEn2OqIrmNiRm6VOPXknobonoCRVwW0NGbGjbXCBBQIK
hc/y3KFR+fMrLeaPMQDZrvolKeKp+TrjFTRDdsDUwLylmC2RLx9YgDk5j2tue3mwCEQpWZawCJN8
jgABeLGO55nEfn5nEp3i4RFCe4RvWinPTGTq3JYVhT59f4G6y+JgoKMuzEpsNJMamSN5so0hFGG9
t6Gz9h/JaCicfJMLn+lUCfDMbBHJ0ZTIAeZYZw9OCCIhICCi+/38V+8HbJeAlrXYXQsw6hec5AYL
2twIhvEvhs2uQq3JUforZBuDnK2MZZ8KC6C1eBfS+PleKhVzN+8ztxw+4v6mOMcSylokQLf86v+P
lcnxAVczBNqV9uWQnYRVlcx1pfzEvXAFqMrLPxUHMG1eWGHdBw9gAKgdAnRbhUB5AHy8VnuzTadc
m9YZbsMHCIqJ1wZFph+kwuRn1q67SRRi4Bhaw5ZFFSQusMkuQUyFFKXB1Ezp8+hQI5WkVJs2b/95
2TEvDSEWP0YKu/AHjoBKFVLYrVjIAUa+h7MWa1H3cNlWT6/yoIqP12q/LLQCtQR828S8wAt6A0tD
whFLL7K+mSJ3U3mwV9XHaSoffc6ybi2A+kw3PCa++qBlrnSPQHf79AH1wD0CSuq20t22mvZvAKYB
Rc7tANPEa7kLh6nfWqKXBjUA3miR+xwOZnPhuGYLHeVRI4vvtSyszDAdA2H6KhO1Eo+eCWcDlaZN
bHPRJo+FIx9eN9OSiTSFicXeNnEEOVP30C8kFP/CjzQlBs+M0G5kkBvUwqpREj7JeJ/u2KEL1AYZ
hftFPPBhJT9NzPTEAV6zeUIZQyVHbx3EoIjlsu/MmOO0jPo5eGwCJLJrATobRPzJyluuxoc+m6KX
cJ1al6hFW2dcDS9pSGrM4x3vxrRgL9+P3dPPkJIcgx0X67OInS15YdrQU/9o7JcCJIqR9AaEdLYW
4JNvcQRegDx9KE9QROkC6Lo/T69DmL1lFbQnKli7XHIweciFbikBceIhqOguxsbeztjHUpVIfsru
Zay+Hu/lIGAcphXI3u3EhFamgs/CNnMQNIhDLBQnG6BzBB08U835Tob8QfR2Pb/Uc3P+pHK1CFqO
1OMYSkU41Y5m42Fub1oIFCdy6mDziw4yHaLO3KSFBS+z0fsXqZKkpRwRFMxM5z97Sjn4qubUZgr4
e7z2X+UpTakh4/YqVsnLH4vsYEBM2hZTsbwcIcQo8L2cdps4J33ZEwK7FuveQE8gwfmxZ3CtZw75
5LPVDZd9sRuf2EZgryIrQcDwN7ckw5jsqMUDSHcsYklYeShVuYACXtauPYVmlwAj1GqZSsushtSa
InsbCYtDXz477ZOdi7NQ6iBOwbRJ+eS5rdUiIVk0A2Y0ZgAvSO+kktFvaBcGXQS6w0vork8Qwapk
PvlcspyUfZnTF97pczkQO5uRmoMJlLWznddTKVOqr0CZk83YRhMOT2mEHoDwKynmGCY3pmyHjjr9
OGXbzP7dxxWqRx+zt5bU0eYh8qQ0UV8Ki+qGKr4URPnPo/dQmPGFWAxAir1TshyWQ9l2RjhtosId
r1mCvxP2ZOJJLKZUeu7FdC5Qd1icVVIPpg/cdNICMT7+1r6n72fdVQ12UaQfED/9mEV/HoSLczUZ
MbhvhV5vC6xL8ud5M70kGs0yDO++0s/7J0rjtEV3/GCLyaTnO9QBO+vZjGLK9nFYMjH4qh01UEro
7P7U84RFbf89zfJBqUMlHnBTAzpPB+o3/6MiD94hMirRYNYPRvq8kGIj/Xho+0bVyeXD6HN14SJc
RFYbVN6KfSsI6UYBdngsfTnyiAd/SeDqGxHFFBAdivpsGLhp7+fFUbHvbUSupl0tT7VI2KriGPx7
T89JCb5E6lDBfbH108xPWBovKT5IdW33C3u37iawqV5YRvrWiPpLX5VUtRd0wKimaRk9zNehdiv4
MWFAqXNZ6nutcN/GWgshthib/ulusdr2Y69Fw5riocse2h89xkWo8UboFrWp4F1P+zlUy7CEta+i
oqhqY7TMw7x+xBQlKwvvLdpa7WXzV39Vyo3IzeWWZszqVmzy+sf/6eKqrPIHU3X4dqmV9URYAFCv
Un0FMkaofpLULH5Q4XhonbvkfkHSRurvJvdQGU4uY2/B93TnIXoy+6Xc7zpZbw2g7xKKrYpN+Rty
k3QxNKyMkpwF+cgIw0nlEL/Pq5n0+oIt5m5zzVafpZlYl/I1onDfOaZFYKVMDMtntNY/tjEj1VH8
QFz0d8It3q+Y4Ru3sTwhi3k6DHw6hpvO89y57IUIgsK1ypIj+IMsYKoHWF1+Yxsc81L8puSkkJb3
3JzW1VeanLi3ZynQUGcsHGnjG8/eCxQPNk/HBrGgRUFE8BpFYeH+OD8U208hwnRgCq5e/a1ydd/1
TwlrtasyZAnAuG4DuhPRPpkUcFeG6RBGolaPbbNSAHEpLZE0KYsJmvZuRrsMe67lcrbHjd8wNodc
ibx2rHeC+gjUShTfil/tPGVhT5mAm4Dc68wVsv8wb/+FlvK5EsTyu6mlIYRX68ggGiiivjALWBcm
OzBM/boq5D/nvNe74TUzKShpZm+ZS8owYbZRIPu6kKpBx/x3/auAR4NIYECICFxiXtkkdB8d9zuO
9b+l16adQ9354hdwzseOuTR9HJqF7tz6fozG96ilmRwcGndI/rLsNtruj/jjL5q+OUEkviZtkhT0
eGDr5cecMWeQPHG2INN0iF2BIXVZuwZ5ct3g2k4d8w/yOttJedCf0ie26wKxSisiCHI1++EGWiUh
oj/RQohbsknelcuyJubFZlKWn38OU77M3auKp6iwrX4dTGDB1SGwd0bvfzvA7KhrNLCYOlF9ZPX/
Vo/785d01cEf1iHFs/NZ0kj2xJjz6kAtgeHq2CjdXIJkjkUFylMCm3AJBXxD1NJ3q9/xZkPRK7R6
ACRgGtgkXETQDiJYF/qeGEUnkOsUxa4IefXu4uFZ59mP7q3kSDC2TWVcs85oPzS8G7gKKV8z8XtA
iU3YEixtCLHUkaeoWUwbD0nwCRPrxHuQxVX3x2Ugfwcti45NmlWzy838523vsi+s1nrSpWSKRODD
ceIqWqispJJXWCU9jOPBNNTejeV8x2ft4Hf7Ww5j8aWAXYako2rVG1uNEQD6mUdHTaShPJsvFN/f
N+HF3Y9cerFr9Fw3MnlT9Uuglz94LqFkGsRQI6INch8iDgWe1rfnZ5WzvlMyyaxqJ1TSbhk48q88
fv60E8XkyVZo/0Y446cwQ9Phqewr0m0I819QbaOhvd0RMu2INiGtrvCSIIC1+C+DvYwg9Hi2mByZ
o6yZq7ZbqFD1vo9b6FlRODu82UAGWQNiVTnRQo4kZxiaJpWXXMSeFxhpEPxA59kB/LWoZGgs7UYk
Ev1cxhorO7x0KuhB41LmBDYkMai08+Nhghl00v3RHmzYYdNlmim6EAxEYdIKL5jnU3ydDT2zrqyv
GHoySKDRT8FS/5nNWu8nHJqKz8px59aohtQ4NTETL5UUWsWGH5uhY7zdnp1MN38Mma9AHY94enJC
rZXzSB+9S92tCIzMWY/ySEW8fKCf5CuH4WFeZrvU4VBsrRJ3Jv2tMLjvNzsdez4HfO0mTHvKoIdd
J6/8ZsgHWI4/kWbIccQRmRrjnSjA3dL36O1BZujvuSmWhzQGVwaV1GgRZYGbgS+udJLubOj18YtY
gm2QUCN229Hz1VZPSLwfSRa6Lh72dxURgC+xNuVgcAK+Id9m9O4dmuBD0bwUnb3rDIknErExBGkw
5lbQgxytNgP/pyq1/Pr/uFdb+h/Y6lq85vpGYNVydxOvS3XtET1MqH2j0TTQQky5Fwcgs+nixvTK
I1AKbZruV/u2Hu7gU00AEYkmaj+tgLxT7t0Pr8ot3yyxh3qz3Fo4En5qI/HgBRhD2/+RJ8CRg4Xv
Bc6K1nSQWD0dbBjcoqrML84sytvZwPNZeRrxZNcMbDQGUlXpAgHv+rJaQeGObiCcuhrPjPpzgoEV
+OYwkZm9jwib+c5+oSpRBcktCjleDCYe8o+EIVWiBRWB7tsv2x2Y2kWd6RMqCCc13h+bgMtag2D+
PBLqpMOPd993TPz+MVcXxgJYtIL4wEWf7QsAia11KmBZFgsvzA49EIpqsKx/gCa/Jfg82RbDTFB8
DNly/LtrmsXFLCj4T8RjlOucQXG6l0hAkJDmrLUXUUG2Z3C4xoak3XrpwrB7u2Zj8AIQrjIgRmUE
lznLj23L33+YWdXFnVqcC3Zyf8EyVcaJR6H9P3Yrbv2sU/sIFcfvCeMnph/AIkilLa4c3ZnmMGvE
STkfpMQZs/rn748WlUR/TpRUQxmXWWwyjwm7I5vf7FLjuuNA3IbxCUkvXOcBspEM15tEO5ZdMdgP
77ipbvO7Sh72HAa/Rh1wQvsl6nkA3RVIeskCFgGNgd8TjtqutqzMjTzvCmi8+6GDN8YxJUVd3GJ/
jBWAnS/ZywibBDm9VfaSiaw3Zjyoh31E3FT3TGxyHzPUQVpIqGxPPw9FyF9yGdb5gtFHd0GBxCIZ
1/VS9tFJMpOCPQtyZWv5q/qzg7/66LPZ5Mv/Uk9rr4f8Wz0Wsilxt3KLG3f1vjMxT6a//gEdUfQ8
mlLkKGgB1W37cBm8e66p6qq5efopRLK4xBLp+wAz0BwDkoDRh9r1HO7DUwrHdaqtLGnqAUu7IqIB
cvv373zLSFWSKuuBt8kp3wGEuisX/jmEo1w288g3PCD9bW1SGvfpoatriYGNf2S6jiHfd1X0snYc
JCIZgVZnH0oRv4Kg7eT7jZ/0DLRZ+k5fbEDhbeRLwEPd0wwK6fUwFhTABahXp9DpOsBu0TH3Yra0
kxrC9BKppxA0tl3vCkeDqx7vybTrQ2BhVrM0+4CTTi8L47ORwPF4RbwYgToyKvU3p5EtNePiUYp8
m5lPMz/e4cOgb3u6WtPOGsO0Yn9Apr2oAohu4jDIgNcFk+4Gf8ERT7oF8rK6HUrcsX/hVQ9pBpqO
bMu0/5sDsz+tD33vxGVWrD7N5ge7R+b2NQEb+8maJwZumE8wXHyo7FENaqOa5gOfOtzZhg6F0j+w
OvognnITrMTY/Im8Rv7dpZ0F4joNLKOn8WrxeUywzUQU+RMZA5dAh9BnkEOSM3zSATTbqScEQ+Wl
dOERXovwHqECzYwVGVT2XJTx8pIuTW3axiziYCsqovixSKlfSJE7+LiHDtCVeN6LeirubVtxKs1A
g30yhJg07rvDJodJaiGHCwRdfTg5//Nu9ImTlluz+70GEsTlK/8lkgX+Di+5XfvYCU3VCozflEMp
eiS7bH3uG3gQTjHUtoIrPbVIsEtg7HGeOQiS+owX13I9VS9KMzsWj9ydsYyCx2GOPyrNfURFQFiZ
36Ku5tj4MNonCPTmeV2M9wSRPiZvAp3FVTd1gjPsoWa8x72AV3/yMZLTS8r3kqGoGsFblpz6SDCO
xuEzMu1mBa6jl0nnD79tcidrgn1THnFCA1WN1oSDOEEeMZQuPtkwQfpE8Soi2M5LD0//xGIbUK3s
phjWvZjN8EXvVWHaqH1xM0+JUPCjomEEtVrr6H4ouVUQI1TSt/GET8uoM9LS0nrkGKb7TgptFeOz
S5pjV9mKduU6SLRrGXtGm1EfSY6XBPQy12aD4YBgvqAsa8E5dq7pHwAdPGTKLHZRGy1BhzK5XSot
JDW7nY+6Q1+ZAw2McisrbzET/hw6jYAfcoJIvFvHwNuCWWtNtzP22dFSs/2/MQmI0J2fkX7qa4ej
sKp2SHmg/B/n8tepsLOpn5QMnDOnKO1Le4g9W2gSjq/baWFc1aru4PokgwAGm70hsspVx1jQx34H
XcXFdeW0h1Vgsgcp5cijIoSK+bghUum72aSsUudnQBO+Rwl37gUN3ukQkOiTGr8nsJ0WtRCqMHj7
5WH2O2WQTyF6nGgUIPrSR32yFA/IZaiDogm8+in4SQLtlHLbdC5wbIan8ds5ndaiEA3IDkaPlJ5o
tW9piarU3NasB8ZGVfKY4e9zBRq+FHWzQ/bHjcJRuvNfqD8tfJ+gRwmkYsMPHW552GfN9nSeIrns
DjH85ycO1ziJyG3ebCv17qDxlsX5pSBwcQC3notR/eOSJxpjOnZmQ8NPkc6yV7n16KWHU+/q2cp/
/izOFEpVq5wIWf/K4X5d+uDKpktOvxTn9bqMJWE17TvAMfDONEf8FCU/A+uMXMd98/V/iDheQk9G
LAzt3ZM4wNALNSki0hRFvnF/ls6GEJQeSMW5ZKsQ0jw2T4pHlA3SJ6wZGWrXrpkp7HvTJjRRq+G/
NuUelmywssmEz0gjNjwpA+Snk/u0LPn2yRgp2GvAK8kk/jF9b0kxrxJ+JE2TH0CSzb2ZXHFu6FgY
OzpbTalC77+uKzjhW0W7d5a+qwfn20X6qs0fnkiCV+MW355vgS+zb9kcyUrRtHG7NUwzeXA1bmYw
8FDh1XJnYoL9lRUtdZzQ6JuY3FlhRSZ68Rl7hegUo13zrxKQ+E0zpSDfh9IvwAjRfhtmqAkOq2cL
1vSZBdmngy3V4vKzMYtVFQcpub6laFrk9fmU385y8cvvOx7ie+aXltbJpS8Uq5t+Nsi14kMgPQXM
xxh5qwjO0tQNvTdA/d29b0PzWcS3q0212u8fD6EYs1qU28LOi9Zf8WCvcb/G0F6FvSzJam9fn+Oc
Lye+/APJjujA2Y/RZn/UWrrH7xRq84QbXKN39jcpGmWnYiGwwY5qWgL+dEicZYRBNL5BBEe9DtnZ
ChklJzF4mikmTPOpndLVujkF1ytBrjJiSc5OXppRWQRQeZcYUe2p5ZozhRdi4K4eyriaFhTorbSR
FrHV3hZAXAjAdVr7PCs7qyBPPUuLYIhKbX4zCWaFTJRW2BGGmRAhIeWu7ZX8hRpgi7MjK2ivZnlZ
0mtUbcBxSUQpKgg9pBhJSevFO0yfV9OmigvZsI+FWlgBgLIu4v6s4EG4IbpPm4ersXYvI0pFK3y1
pDIIDrAGpXbL1Lqgu5N1tLi9e7vv73f5Hl7cm8b9sxC79bhESpuImGLBb35GrQx7f8jULCxgsyqu
HdhfXYo4diGL9QI0D0Ma1nFcbgCyeRGzSqlcFSSO9YjyDn73wd2dCrpg6sA8XqmQA6np5lAtB3wD
ffCHdeaz4jVSoG2C8B7O597/fmGYYbyIPumLONZ6LhHyO3eUX0Wn9ks3J72J1AX8HkUU8qxL+3i+
lUV1SPRfk9fWPMhuizGhRMTzf+GxyfOu7QgbnV82Le5/kAxv98O/89TRt3h6JYEyiRpxsBETodon
blBQpnQ5dN1tpSIv67qdP3j2hoGYzcj7sKedvFtYwqYRhwf9K67n+AEG/M34FTlUj5r1Qr+eNqT6
PE6y5Wr5ePelN3mqcmsWwb60IQBud21sYvFpgdXpQUIeH9xyRg+XSOPaBld1PDjnxedHMeqWAcIn
OgMZcu86nEyP4jJe5YV4ydo+wwf3FjBD9q3QWFbIb9/DFi3xyNTXm/DR0mxzBGp1D+jGklaD+D84
mjkhG+sZgzYvaN+O7boeBsR81rMqLz1LVFHJtiPzBO2Otxv0WM8Rzx5F+B2WIwLpEMDtKTsHPAu3
7GhZ6/pw7PG4Y2T8F+d67UAe6cnZoXmvXyEwoALI7xOVXdO6stPSsr61zxk7k5ZMgW3qTqNc38OU
9Mdd2hGzrhper09WEa4wR9nlF1Qo+9NpN8fm5zYrTrQj2ETyJ5SDWhTzYZ1RgtwOzau8Rkig3Y+f
U9Jf2nm04+rlr3Rnh1wd8Ey96u+8CzjzK+0KRS2X26mRkhFIwUtCI7V4teFeCyx+K0hdEhRIAUnH
vpPgIL0fZMZ62vTS3AO80+9Z6c0PX0yfZkJf7cd2+MK9vPngd64v+N9KJ3d/8lZhOnSVFVEccimk
l5QaDFXnEdJuPgkvVZhpqlcnvzvDG8rC4l/LGm6q5e2T9EUmJKyayb4rMoD95ZgmpcCNGju1b/wT
SFuTanGKHPzrduQsgUX73vuYFFzCsYfpvyJ5cvsfqpIyJ7x39j8d1AI4207gVA3u8TVyfz1iH5P7
8+UDq2Z/ZzV5VDS3ksBA818tnY/kzLA/FAvoSlLk4EWFw5hTnh599M3vUPTvBeVOQNXVPzBKipXo
5EYCuajTpR04BQrgH3u0TZRu5WvQE7WAd4rARscUID44toIOBVlkzxiESOt9nDE12HofqQUVfuuH
+McocsuOI6U1MOgAWC5HORV2Ir4R/Y9Fzm9vQx2KQ0oaqCxYGpmqo2P1mpQ2QmrluIJ5Vyd7T0Pp
WVm7l6B9CToJ8sc+ezqPkLC/94zTi20T67NBMZcJjDq8ZZ0FwbIOlC+vbnNrO93omdvz9Roxfi26
ws/6+Y2xvDs0Ac9VZa/fG7/wlOg1O6eJ4aakt6IxUMWUgiE0As0VC0CoR2gZRRfVLhKvB0SD9F/6
t6yrI/2jPuMvfaAPBNjip0XnjF8HYu6utYjJXLPGx3oa31rkST34EE3kmBifCKuLM7iy9Z6ZpJlW
9WJQUcj4oeM+ElPcy79ceM5VzIu+MlZbUjYqKGfF8rGHhJRiTzKO9VGhTS/roWQo/gvQHJypGYhn
pBceePaH63cgrjJAugTigDJzYr2sdYxN+dMhNBKDDiCpi2KGD9aC1wMpcr8VlKw8B1Su2r6SPXYl
qUjnHZ3P3ZNlnlULlejCXZ0rjrOUTejlzsdHcP+x326tXO9K8ewy2H8D24m5p5UCJSgRnyI2Uhh7
Zc7GmAoDqiOnJOBGTADnCnOmUSoS2EVBFAxBbkbizWDR0oAqqC8n0ZFIxjFKh4eD3BLTDNHZ4gqe
G0kDGqVqviAwCndLSpNiZ2vLFyIVmbBgpJXKSDmQbMr/Ddqqi9ADBivOp33mnzTT/gZnU9nlpoNk
w7Wvgtwa3bJHnDpfHzFu69VDiVDcbJTnPWTkCuzNXAic876gfp+1dg/Ot5bgmioncvu+mFNnUT1z
CSyDmQQCfp74CjRoTjVZP5+Ys00uDyRWcwlPOBID5oez9+s9e+SVVFvnC7/x0nnyn8p+SyRivEwO
JSf9xlRHHLxRqJbymtbOHyokWJY1/XCxx2uXoACaPrOdbc26nEyFmccgraEj0D2dHIsMRsw/2SIl
FXWIargNpRwGXo0yoy2L0jzark4gmSDYVVlpiqZfd7Z4ggdlYw0plSV58h4c27+GNHIDzD0rhHw5
Gckus9f/h8n8NPeVTAzkoeMqnSj/jDgBBSczRjImtCGW1p3jdJUF3Xb1kmydiEPP+Qcd3d2BwjBh
gy+IJv1qzjWGm2di3LD2grILbSGEjQT2NhCaKalDumIYiOlOv2v1cvDIktpwIziEyKuEKdS/TU7D
8qm5Y/j9nB389Cjdb3Bw/vo24NJB96HKw1NoXy4I2akAeY9h+PHxJk1T/hHHy2BPVV1ubNRUq6aR
fASnxe187LiNS9j407VioJTMjjU4D1WfAAjNRkfmz7BeTdKJRsLGopRYZ57I6v8y5oVmF9g7da9i
BeLLNskTh1hdlTEq2R6y2rIvaogwsBdmJYYpp//Rqx9fDMZ+biGO2qw1jWxr5+5ct19yksHGSvCd
IFUGn1fnma4G+r8Lk27x/mm6e/ZmHCimdNYlRb9BGq7/bEL60jR0Gwa2cRexLgWkfqojXT4zPFzV
iRIyyNGmPnGIpgWPdWJjGt3BJmAqkc8J+6N7Cd4DFNMb7iIGSJAo34UTN8ot/WeP2tH0ejNhxZlL
sj4sqDisIJPwgPB6LUDacgvpqVmffPC9vbSUN3iUuBwASX38tColWHG4aaS1dRa1bBgY3uTZGPoi
wR70+wlHVgsCFRXFjLBDkzqVX9OhZmY2F7czhB13CErqY8AV/Z/5q+28X6iSpPoefQZ2udjviUNN
IFPEP7y1x0KPVmMe9Ts3brGMPivpGNS8RPqdE1NBItlC/yGuh/P4MwqeqSYtUPkc6h9eVVn8/0cB
fOzHb+pK8prMZbFPqkmyLjn8MbP6SNcXP1pBixnji9dUXNtiekz1Q3+ZpprVnQLFWniS9B2rQlXr
5gZQXc1DnRIWcGO3fOO+LMaXl9eAERRSnum8RDdrV0iNUm6GUg/grIsYbLm41/XKBbGOdvV4AYOl
2xyma79W1Se4NF4y8ij8XdzijlPHm85Uv81OuPul3hJGg2jviEOyjgU2MOLMFfwn+YqVzqWKIvrv
pt5SFiF12+AfurE78oEyylLvdNLDjMKTFu9HY4Lfs1UY/jWkZFAlc8zhGnZ8Li6Un0oFh70G+qqf
yZP0p/YasR84xs4PV1IgFqap28xYNU1ZJqWH0t9H1/0GUhX5Sjnzv7cOPzxyMO+SzUtzhREMfQu2
CQLMKw+wbu3KDMsbXMiu+VlgPjuinDq/I6QmSqiE/v8qOVis6rtgbCDSZWckDfxeSslxt4c16Ff8
9Km9ZR8+T/DIiSCuB16j1ARKJuk8OkMFB3a58O1oouh3p6ZQMbCfELTtvDvkL32Em7eJo34yaQIS
rdY4Ycbq6P+2nnCKJiAPudwDzLGpuqE43CIr/wNi8IpD+59XkXPWMfCkT6mwPhHfWJpGGKlxG7fn
X4/UEtcJfrahJHb1qOIDkRrT2Z3Y1QTNNuQ2KMRjIIwuwoX/E2c5kGWLfLNYdowIbDS3uGcoJEkx
Pz8N+8PatdHUIRMH0uCT0W1Sb4oqiE5ifoV64l/eHsSl53p148vMrZfcH+Pypq6zZfQGJlIeUYuz
oOdNj7uxPxuvz+fWHvNWT7UxHQJxZQU+dLP0S7aoKdcrs7IEc57eVO1FPu1lPMfjVWCArVwS2Occ
YjM6sD5+ITJGRtvF/KYU4Xr3pUjGC+AkE0DRvk0D0gwcSlau5eIB1LGfCVi17pyOtlNbo4+SDV5M
548RJRwCDzsnkixDERBxyTlgzU5+IeeE0rCLrwbsQ8R6gGXkNFlJdu3c5EtGbEKayoQYz1WvexxM
CEpb9i4tq4Nc/yEVAPHCQTFODLO+/UNklY8uEwufScAC3F1poQ40SWwmHP3yMty5rhTvS4vWqeKG
NyC2iU+fJf3BpqeP8YUNRbSDg3tjNJvB6p1p/GBF+Fmr1Rmydr7GIhaQxGbHZCPRHAd3UpE5cPB7
Ht6WjJ0KepWGWuurq9Q7mEm/vqsUtc70R1c3zhZ4bt31rnjRPYSJgpHFqRc5eI5hmy6bkx06URh7
zWqd95YCJ8RfHw5rP6/wnyxx4EWaezQ/1c4/MF+U5nIIEzDNCV9OLoWviHR+kvk+bgCtQwvSUQvN
nN1/Dt+fn8xlY39Vb6gjY5MAyasTXU23rWClwV8DZZlRScDdeJsyH/CxzUilKt8l8dTGRg/r6bW9
pe37M+/WzvNlffya/5F3Ny3Tx35RuocvdhkgmUyd5ph9a0KzYLTdh0TaFaYrSCgpsz6sZZssuUJq
ieO0AGx9wEa7PrcjZdFO/Scz1/EThEn3CcbGAtE4DxIYPMeTBw0ug7tTwtY0ld+Aue+RIQXYiuSR
Icu1FOsddYlvo9TpztLw4TPNXAWstehunxFe+HzK2VBry0AF2kNt3KazpuMO6F/JlmVd/Ch2pNx/
jHSRCDMmvveZP0PHDtdD/hu+bBkhJX7mj9dhu/CVJAO23S69AteJ1Kfdu2cC1z46sxC0JUB6Pg5K
4OX3ShGuV4TiZCd/6JlNK6q8zGeVTYOMUIk3rl3KpO/SyNjfMo1ozx1eDhJQjQUjYv8aypOsQcTj
4GENfXpESnBc5oaWFf7m2uMstfigK1QNxptYJTBKOLoMwGBuzUFDPnXb+sxNVGb0kwQJI5HOJI5N
BAxud2EKW2oY1+ZTc3rzoqAvkw3cXhnsZualb0n4MAfXVZA+vkhFfcDV6is84cn7kGUg9mwVrxHB
bnfWoAbQ4GuEvofQp8zqvoBAteJ7d2T83rMszqaQfuZx8NjGIfi+XgbSSMROPqoX4/PSBEZnsk5C
ctuq0lkQUSodkE52AyrpUduc0uaZKn0m40yXdtbj6UbqeJkbQYWdTYzyqHNyHrxcq/F9a2XOElqk
VRp7K1WkKS9QiIRZFg+Aka91CYG6JZJgy9DZoZ76KNBe8Fkh9rxgxldNjXPoXfXmClNbA84IpI2f
FrDb+3yVrt8UjKk1XbAkajuHV+AH1tGkNu0HcjDJyp89QvdQuuue3sw2Ob+6aXFNdZmq/ZdwZjZs
lLWWBktupKZz/xco4seGXd18jcFn7ozsB6imht5xGGZJ6i0s42B+IHQzX56PANo1Lo7g7WZGhKHc
2yJ6+tg1tKCASfDmfzN8MXszEcmfaCapQ3S/QNXX5MoN4sYxb0qQIS/9O08inmwQ4END9IdIS0Uu
uQeEywECairU1DjQbLaoAdxL0HMldGp/UN61dppCaydBzOFfbawpoxJo6EUOC13vtv9+vZYnlicP
FfiVnWRLucS6/OE/A5NXjoXQT/sR/EPP28tKIsx8YUirw+Ldh1ouUWMLzQEz4twknwaYdmxRdEvz
Jco0qhGkApCCGK3EeD3E6T38WqJUf6G188s7g7eXx0COHW8rMnkaP9/8bNh5qW0SZ78k4RGEkfHJ
MIvzRLAl/2rbydV+vxL+qFtkbzz8wPSl5YBzbE3+LnX01kT2eKO58pUF5c57NmhHbiP601PReHxq
5Fduadpybjol2cKJPbjfioROcnkkCDCxMMiFwL2XjsJpkdmnjNc7CizLeQS6dD9YXcxnZNeH6Ach
lvblvSdkpXmkrYQNLdFWluQKU7s6bMYYzuwQj5a3Ofw0WJi+jZcAnQF0NY/R5oR8A02pkQ4oszwm
ifc3mwtmGoqUiYP8m8Y5g1UeytdKx8R28Dje+20QdaFLquiy04au7xcx5OfexVCMfOme3JslILmv
ItFdql72xrRjpj61V7RoCgJAFQWTTJpJIBICJwuyFAZsRVIRzuvC/FpSjWrKmNCg/BZfiDJx8/Ax
VvLo1ZfKDwzOu4Lh0TKXGOm9rTsYJXNJA7Qm7PguIoQNhH1Gm5/Z04jTbU8rQMjOmRs7v0CijVfA
9Vr90CwInsyE1o3S6I7kTQOY2Vtsx1f0U9yGAMO5Ly0pQmkieDOGiNrzsoq7P4HfeS68e8kbRuvs
43377TJv6rD2dlNYA9obRs3kr16wdF6+I3qIdZHTWCZHeOlg89Xub//y8GypurAo4K5jBopxM5TT
G4EBGd8vXp7xUPcUPhbGJfiKi3XLBLnQjm/2CUcijRnDk6JP1jDs8XYbvsQilDB54HsNwdFEd4zZ
zol0lFqPmOV2Aex/wW9WQ09hF1dHugu9oQcGreMdU0ykN2LDEOK69+I5qVy229rI/SmGPzb9cYSN
PEPqhaqXCM9JBejlJPM9a4uQPzuHlOz+ZZfuFHg29g7xOpEDgErtYHoVCBmDWsPtqkjy+4aJX3Jo
ZVU438kG0qoS5liKMB02Wf49P/t65afArhN8gU1tWxVyRYw36tkP8WAzXvjmHtCIKVilXm+jUlZr
9ZNYu6ypd3ATPTPLXHW6rtavd1/Uat8TvzpwOEztU+KGvZZAeSGz052PpWzPNnagTIxlfosxoeTP
EKyd+FiGjoNxpfb/6CrMRI6s4uwIrdIT8C/4TKJNtNFW+DESSmWsaC1hGn3uxGkN4geRruiOmkPM
0QlnIHAsPL+9jSPx7949xNeb+3UI0Cr6cfJDYUOVxCRoqcLKtiKWnclWdyaW81L9w34+Yl+DwAMi
7Botj5VwEF3GjSH58w1f5aadXGOv2j1OuoXOZGCQlrw7E++9xwWcnDi2/BTOSbZLZbB+J7aCC126
zv5Xqpd5yi8zDnYbcqM2ZUeui0S2KfVy84aNpyjpArE8/BgPgOviZL8OZ6N9dsxpJjPtVKwpGbqH
vH8KIAvXDCCjOgWmQBafuWBcz2t5Li43Op99Is3Z+UMEUCGdihTdjye+Q04TwJSyi+XnmJUkxOPQ
Bi4N5k6ckPCPqoSIEPjeRipZv8OmuH+TDfxJjNx2pkBk2PPgFedYN7FOXj/MhiHL41//QlHn5t8V
/LUJCY4IEALRIP7LrR8GjA5XR35RkxQ4AbG5CHr1TH1/krfH8HqXtjPVfkh69pVHjoZ1+sQNS8Cn
Zg2JArZ/tnHkRLlT0gQnluFHNr8ext3yjRWvc7mmdoF0eLpu1vHFlzmto+SiVp8W2WkQtpNW3Rb+
HGgk6YZa1hktYpIWlT1CqQw2n4eIhgkFN4w7JkBxOajAhJc9Isx+uTeZn8gEM6M58Df2wJ6/hfJg
YHcUHGDsx9MQ8HAxHXPKGnamkP/TO0TsX+tixBtmmKbmf3wgBEB2+xfveIB8ZW212TfWqYdB3EFM
3Mp5bLUORXY5az/zH9ZsfvflGXdj4/NtkuXdX2yj9blMcRV2foXTnTAxQUUXa01GkXHvj2kDUN4n
+HIUihEqyzL75tUYM0wlz7FzHK6SfndZRrMTg/Ka7/z2GyTsY79ZjeN79LWod7adFY9uz5ZbhM4j
WRxlVo3E6vAYGiZi9hsut+qnz9WUhOxcBk5CqA3bWugQ32xEX1FiHrqNP+tKUYQWxCwL4HZhWqPB
ek1k0/+kXhYIC00WmdpQE16Lhw2l2H848zqEEaT1f8UmGHnlWdf1tJH3301L+g8RVoZ+ZiqYqvzE
WkLRAtD76nQaFm+ZAXnyrSdRMD7AsowhGBZO9SPAR/3NQCjHbMpTivNa/F2AmhCfKwnlnEFgLlNA
hfp/O8lsoFJGeSTr4y5a0rD7iVuFfzc4cHE47UQgrVvbqd9aK6OtmAVtuB2BKtakDwqbrnp07Lr7
lahYa8/X8Pt0n971AUKe0DXa628ozCwYZyWuYBA+WYZZuwUBEcKOY19y1TLC2nPjunczvzT27zj/
iUzS5+E3CE2C3NTVGPEcwIYcgzzzl74OAt6b2sni5BU5CEmYGHyhD7VMuQALJWoiPdGwsYVVxclr
AxzoOcL5bUA6cXlXhOGZ1pFzuK9PMQpbW2qbkWXq2IfIiPvhijsh7JOtmOwAYaA8lwC+GzIDF3Kt
zt98yW1vXR720A4TonZDtSInkizYdyPlpBe9KDyVWli/bisKZZeP2n9MK4maEUjBRXmIkzdM6LQ1
AlYEP8M9Yuilw3Vzy9Qwrbkizy42LbfKGoRwI1h0Q2DFzgdKPrurXeK61vBj0XaO16G0TyGNeVTx
jV6bZlJla6/gtUyWj9KmQwm8qzYqfsPcYd84yasecdWVsAUAH0JwW8luY9myekAmCiNqBJHZtnUg
+G0O9aGOZlMcIHX8nRg4VUNm5aZdkvBh5r66zgorE9stuCS9M1wOI1mwOFcvyS2Et3lf1QclxTSE
hbbcfzx9oLcxKg6AEln5UzDkOsJaFTHdyClW7A/5kdGO68OI0fvFTdUw5TbWR8Gov5sux7OvVo2S
Fv6nDpBTkBFQ2V2FXDOGA1AThX1dpv2YcNKZroCeAO5Tgvb/sJBqBQ8thSGNX+g0S+XDVIuAEaGs
FLVjMcvFT8MNQzSspH0w5z5Vr94QKzouNsnKSu/fyfm/D3dRyxjmO1tx6tPf0owZWBY2uRg9h+KO
ElOuCXbCTwUS0Nw6uuynDvPjF4Ty2LuD9zPMOKro0jywaA+CHESP3M/ZbZS/FQMFeBOeYIG4XMBQ
tmGJaaRi8n3FjpB4c4ldYAxFhKLS34dtnwkQaS0ZFZT3Rlxg0NqHCoxIoMlV75dhpCSY4XJ7ba5E
pz9gFMwQ8B9rjji9GRtqmSUteRxHUcwnJlsRL0mviJbdA/fM0rqek4QWRLL1nIcm6PAWVYRDwsBy
SAeCgWBY+rhFm749L9y2wQ6QRczYtpoAwmHfknCHFaT/D/6qmFrf9xd5e2ZhLn5KlSMcmyHdl/tR
++FANSnMSOAHpQOX9KLPd7Qdtj92LpvLHm1JtUW7J8Htm35QS+8zOeD7KfJtRi4/wsRS/h8RphH1
/4JCVpGEMmK+BaH11BaAygITdVL5TVJmhrCZyjNN85dCuj4aaNs4bxtpxcKKuF93ds0ijAQcpbQz
U4L/V9cp57Zl/FGL81UQ+4w9B7Jk6XuQX9IZeHUcBglKKnfQec7FSIwgWiZ4SqRGF2vIFRGHBuJa
B9dmtG2a9ScjtPBojX09J/qtfxRMjb2nfHsylqO8VSMRb4O16VIy6NEfpTk9AJFeW7onnLbuyWy2
Am0WJNfz3gl3z9SGjLk8n+gFaZSkpFQ0xYgzgkQyVkJtGvk4IyniGBjOKf/LQt4TWdFGsMmj6ba3
kS7w9pdnvvgHPz7W26rIJWBmlmaZhGUIcl0CODt5ss0YYGQjqfsgrEz03pTwi5s7jJdxjFVm/BXP
iihU4KSeWZKjlLndG5OYMlm7eZwg5NvaeAGWdFR9frUKo5BVVz7EnIDddk0bPw0Zb/LttfwcKh+v
o58ldk310rbzJR7jtEYJ0f8vCeowe1+jmIakZXkR3IUlC7AuyQbTL7p+ZAi90QIVpKDTI4r7ELro
wdWWuq6tXzD752xkkrqeK6lejztoTbrqgfblzxDdSlD38jV9xlDkrH8I45GIjnMo6cNLvj6nixWx
gygmUxoJatefrBo6wfdZuYWGpjHhyZPXj6Z3XAUFeAjilg7VPHTulo6w0wpZZNXKuaBVBtylFAoi
AiFwPlLkRoX4FHquR2qnUDyUtLsQrrl+A44UJi7YG+dUOn4OnFNjU7/TZ+be6nXqCRk1YifZG7LK
M9Pmkccy3gAJI9AIeKNeXwC0ka4zq/JUu18ospw8kFJ6+PL/KYV3Nj2d+EopSuPDWUz3oFerQarE
UXdL5Wdz6Xb7d5zivvlOeKMN1kYzL6nt0UqlMa5Dry8FkOfJPWc8DaR7z8KVLn1Zb5lvadIE1paf
S1flY5pnZ+WjoM2GLEspARJY96fr3Xdr7dS2iGWBrpjZRhjpKQXiGv11NDLuF3ai6E0S7HbD7RGw
O9f4LM97f5CL+Buqg70fklsV+ZSypU/Idbo9AWOS5erpXh9CJJp7qm7UI4PpXeapMWFho0S6DXoH
p1TEYibYXDK5Z5aOxUjAZO5NRtxawvq4+bNOw8HnNBSea0XLe0VM6GrYYp5LNqpAEVsJ7onVztKf
U+tjq3mUHIM8GaDYwEt1x5RFnT6K7rq6i2SxDc/9KOwvGjVUyUqFcHfzr8l6h3tlhLqeijtmHjCH
a6Tu7wqf98MD3xvKsxKbrorUyTy12/dwpYWvoluRw8StRbYSV2PjwMFehHsVGuOE4vgixvTt7SyD
xFDgZ+tBCs8tWw7i7Dg+eTmS/YIh1k2rKepHd8cjAYa8CgWiAni+MVVQbthuzhnk4gOUxttBFGVU
CXpAoaCfUk+yIU9AuWJD31PbRocHMIVhoCPw6j+CjluI6VDi8WsvOI7SyxeDfQamKBS/QZn30bIh
ZJuYualXRYFjPP7tUAlILLdzxyaoO09WT1HLBjWpLmJ8n2tIvzctT9WJuvTy388e8ZLR92sxd1OQ
g/KsIWk8rKDtS3zlwtppQIaIl82sNNNWROi0mHroeGPlzqAYWHoPG3lnZEJky79Syt4JU3XFWDKD
a1LcMLhAGE1tyPiHLHzYuSDUL9dplAUBwxuGD9LA4mUmDL94/6bzzpR9Kmp/yFYRl83eKEr+UU7t
Dw9onguDd8cUkueE5L95ztPcgLEj8nFQXS3pztR2ylNDt4uxQCAtwf2D5+0W9CPtDfon6KujE6BJ
0v/QLITUGVv2NIRw6RpP0lan3Lx2mHc7m37hA3N1YpADt/gHNryeQiDw9SpxU1MopRJRIa/C0e3U
m9VVokJAwioYIyWlKk+G0WTIT/woi7YgrIM0yh7AyFA1HPat2WrsQMKRQ1QS8b8UGv3Lu4/5CU9F
+3RoCTlba4DIuhcL4wYKp8v+bb4fw5e/RVoOCApbcm9nQ8syo/yV+gCTAWYGeUPlHFsw19wXIsjm
3QNR2YwY6Wzo1hluLV2XwLM18/qKMZY/RdWE6mfmrJv0EXz68t/QXqLMkC1ZPBLYM22ozB8ub4sK
DRBLf+T3SgLsAjQ3k5yHGzqRvuDyDPPeC2vHJmT09cDJKJ5BKuZJT7tIBVrd88sw0Hy81M0+JiiZ
eWAuoTrfXT/vkL9Ad70egWhltMrx1TexJd5n41RhP6vqQDFsZpo6eCayMPduwxmNhqJw1W+PdiRo
EqID40uzYFjepcaiyLoHx2bT5osX9b6OSVIdtRLMo8OhKIs4MCjZrkyvAk2VIdT1Ze9bOd31dOz0
iJbqhAupSC1uK0ZKXF2Q6lUkkgZEd7Nnrn+2kt25iY9Ji3kX0HlWIJ7v5rdg8KWacur3v/65wR/H
LNXN3EPviP5YgWZr+3waUNjFGCKh2s0geNiKqtcxvekkY29fyGduZRJeQmhaZxDI1hhmYy4ZqFL4
jWpWt1XlV+0ZkDe0icgykf5rN5/cMv7vJS8ujM0//KsdtXmDOtC9C7pZNANVkI4L08+CJslwRqZF
3j8mf2bpkp0Ol8Kqyp5PL8pw3fM6zjmbBfuLcPgBOoyV6AcwJi/jsQ2ObUor52mzQGRIYiM+HRxY
y2ACUCetcyOAscF+400tYyRob3MALHtpfGWg007vObNLUnzazD+O61wMWVjlkLpvs+3P8L57s0Bs
nrQZPUQBr55VLcwc9YT4/+APsaolSQoTj88m2hakBlxJCCFuPmNVYPMgyYrNZRoIg3OetYmEBSfh
8jhTg3Wl7ya3OvN4brfSDNQlgW0ZLf3WKWb00ROGvieTQN6MPaiGpNF1GZXoVaFl58p9Sh8IxmZN
tL4FOOvY/vrsXd0pgUYXueZQ2SqXoD/KSZRMOLWTupvqquP/I6vtxIxONu548HanOBY6zMf9s0o5
1P/9Wsej0yKoa7xN5SrinFKI6sraG7n9nnm9YunEE2ghXoZmVJojr/NRchxjBZfo24PhtgkSnMJs
iD1Kq29vhSLkQa+LR/+6VhVKv0T6dBaE8NwpDt5v+Ciy41YRjE4Aw0y48Kk6yo4UvhcI2gaXwKlD
gcWAJL6Cksj4+hp+E6ezVwg5p0nXT2jNH0cg91t0csmKCLki2LwRQbxw7nwcHhexthBRcUgaAeIw
VB3xbMVosU64PJ+0l+HI+bGkLCIWA09zQl7my/2hdc5GZ77cPqD+RMVP1z6c+seaRtyLRFam14q5
Lx5i6wj8watH9V4g4trYYoQITj3SoD0FS+V7fS1yhPszLkVFlWU/NkcKmOjGOZyw8taE0g2wWWL1
9CU/poPS9nXILCK7aSCI+uHHZ4LDmjTIZYC54yd2fdLlnXvYVC/rcKLmDiVzHnFQN2hr7JeUKWTn
1Xuu+bNngpRC8nS/xmabG+Y8U+uVLMVzCEDi2ylEEI82R5axXoOhe4xvwNv6/bcSfSxoU0EizO+b
aocaQsjDCLpVo7YV8Rg4531GfSwaP84l9wcgkD+M+ezH6HpZKVPLYPn0H/YDUpxA+C4NtxXaQBFv
dhkalkKVWUuVJVo1TwYisJy1wdGKCS4gC3vbLHmtAGnM0SmRu9AGEMsOrwGBAv9yGqOnUuWPcJ8t
Wzt6Ii+TQR9+ZR9BiY0KEBx9WZJsQfsfE53ZRphLKcr0vcgI2HNa3YeQoIk8zNI3BvTvSrDuyrfM
mfz3qJArELbY40G4J2Z/cLI/92GxowMHHmVF0EKWDCGtuM/XxyZSKVDxivvcE9XUWI+uifsePizb
HKL/ctTBCTv9EpEzGMcuDnSCbAH224bypFzuaHg/bR9OqV3S+fG+G6KwEriWnYO++ALF+jaOmLeh
RwnA8qYX8+RP/ws6ue0iE6+Y/GHtplCL1zSuY2na3y6SID0VayLxF/Icnma/wvZOrkq5pUOEtJ8P
vdO6sbOMnByqHS4FKoxB30WoqKv6/YHklHI8qj6+xMjUNh0e+Se0UqHDdiTVlbhdnQVurbj0zSkZ
UKLqO/reNgv8xHozVXBgf4DSQy3YmGvp6KjrkpsRvtDTigDHg7Drwpiu7tKgcxgamAlKeelLeV1B
/XxsiftNhW9cIlNPQ6h5/OZbhTTyJfAssA1yEcJGsmJawRw2YRcJQQs0EdauNhWFjoshPbizVlS+
iplvDBYSuPkIiQe6y6DCwSt3XxZGmusUI3fV6Vvs4zIFx9dOJfuAPmWMYsinTHSWCCnnpoKXSPxg
U3QF6pzTYCHlhWsaJO7BVBDB0d9ylK3jSrzcffJjj6sbef6mYLPcyd6fb4TDfl+2jvEMGTwM1Vcb
Ea1Jz7wNc6IIIEj2+93YxZcVksQ7i2JtHPuEac0yb5GP+pmwxX7pDseaq2KlcWBjNbNNWuFpZm1i
rOEzxz1I2GG2A97dw9tqsXhcsi+s5ye8ZZMrZDyMvje9RSj00J91WACnq4Gw8Gm2YdnthgUQBa58
5VrvgMt3SsKQbLIFeRMCVLpw1XZ9D1wn1YAOtUp/3ZaZ6e9B6SYN7GEd4II9QsHZFET6VaJmOcvU
HfJrPq4tWoPJ19pyOv9wrexJOEb7odwZxpJTn9/HphXei1w3gYKx4R9hKfCKh6rWgiQ4yppdCapl
4Gtv2vy6lTXmxXO0UFo7JuantXvArKfnu8nzmIxYNntRn6A3Ds5Kx3k5i1EpvyeYiNxqM43pz/JW
qZqBOrRzs6syYkErcPZMjcwhIV9ZHTo71882EOq97q2np4ykSbpLFAznjsL7Y8iNUfxxuzAxzd0O
9zBJhaI+GHsdo4xBIhIrmThdfYek8j2CpSKWtk2UhVjeFdV+9WjIhZaplmLo2/1TiovR2ogthc+5
nlXBE50YHp9DLk4P3aq9YOtEph7VZ2fX6In7TbvSH0XBW/8/WiE7W/ThrEpiGyBKy4RBvCKUJDIZ
yM7DtCDy1MOwBJAa3NEv/tjTK1Kb8jr9o1I48AG4ZzdOw3+pYR5xx0X8mNI3iFU8JR8v6pOYjz8Q
h9XRPWlDgtrTiX+dPqVQGy17/E1cptWlNkz22jUKti376ygnqWVmAltVOAEG8Ddxe5tLUdqEc2Vc
Qa7E8daAy5O+T2GpqjxeHv/vYtLM/Q/MOyHYWl5LtRtPMdkYUtkIZHpMz19ym/afbkoVxq4kfcr5
NVuY5dH4TNPavziJG6MhRx4aZtMIiQyn6upcQOyQiT6iX1vvVenL2HOzWrIR5CJL9VRAwHQvyt9J
UiPXJiZq+I39CkPUQUKiXDgP9VFMMCFlHMWMKqT7tCEu1h4qKsG8pgMt6eOWYx63bgJwAnqEZSml
Kq6wuboYILgZqO7dSr3Uatw4MfQS3GzVNzNM/sTGZlITwmYEjyFqqCr+8TUL4EzNpD/3NKaVJcTP
Y9/BrWHShGpGppZ06qq7VseBGW13PjZZpFkaL7HVFoibnDrBm6L3Jjoe2NfedR3Uz+LPnRDJb3I7
LtuZ7NdlL78HA4nqmPcEh+xElTLzHtgBbRC4qvgjZuG7NdxrQ4m106DK6RQTyvvG4RPmZbr2gJSK
fkhYxjOclHpT8DMFvaE4c1mGn0ABfpJZGpvQ87mKDoJFGpS6FfaVhWX6BytBt78Nr4YDsdqpxbAF
Rfxrq+hLZuy1QoN2Gmu84qI4Z6sIaX3LtLhqI+nho2n2x4TcBZSZSzzebYixZ4M+g2wr05ssFNuA
P1lQ+8GCS+6DRTWKcS5OYKMQ7vr4aw2+pWuOANzNd8TiP9FEddYb16mXoCiCZg/9iqfVSp4tkA8P
34V/k4DMD9nXb6UdHC7WYloOTqivTx/hZNxr2BPZyojJ/RIhjb7GMRc7Yd2AviAoqkm23VOE14pB
TkI9pUyXjtj1tEVv7HmKj2pqPQMJFmOzjuZkTtb2h03NEBLKiMWO0+YP7PRxK49sLHmreXPlWQ0Y
e1O2vYVXHU3nnYz+fO2WZjDxToyEj97gRm/X75UOTMtywEC8qF+efenfc1/VamRUuKWcLo4FQ7GD
0CzDtFkQaqO7tidB4MkF0mCvoCiQRxDAwmF8TCcn2EQd7SwUP0I1Oa5gZ3Dk0p3RZv3IAENyyMhV
dql2wWmVrXfkYVxfHvD3BLxZy/4M35V/RMFtSRiYMC2CVbAaJPs5nDgN3qWbtjBTuzg9+0dqiY3a
f7s3Nn9GQaVtbpVsviO+T97fCeVgNngM8YDBQi+Vp8IVrNoxzvxbDGO+EBzGC/gc1frXajwGvJg3
fc2ocxBuIgJ1GVV8AUKR6FgK0P0p+mh4hAFwmZ3ClbkrNQ3QEnWx9VdzOQdNtKbpirPwEZtbSIa1
Zq5ooTH9DCb+QGTcPAQGFVA9cTn/5vQ1knoi8ZoKrHF3j6dMFVyzXW2nwztdEsQHSC4YvvLkkZs6
9BlJ//fezxyZ/a6xnmrWgq83l+Yh3NsPpRJb+Iq5tIbsdrXAExMUibY1AsYeiipMR342MFlfwN3P
vg3iJTxXLqYRjhagFjm/dMLPgPJkoCA7V7lNrwIPpH/3S/F7JpARVTkNifZGuVefWuItuie78gqh
08KL5uCA3enTHdSb6jqu3ahU3CgS3P+3XFMJhb5FESsWk19RE0aDw6lXwaiuillSRPVZt0aLUgiJ
VzBAphhBeE6a83IH9USDJkLH5Iwt2YwTWDjzv+iyhYRvVbc1fH8dzjios9Mi73V6QdCL7UehLKKj
4KneWPy2J2x2ubzNofF7z9vtc3YR4WFw521E4FGjTTt67LJfJiSaQdgNp4smg4z3CjD/q6BNwGOj
ywKg2k9UY5BlwR6cccW/ehdEq/ouYGcFFX05+zN/g4/+sNk+BGB2Wto5rcyTiHPufxVYbA+0ByVq
/xfwIdlPiDNczmRf05Jaaztp/2Gbf6E0QZbh1vEZgpPteqjIXLYxNg1sW28+PXlDbgKnM43daloq
CHt8UPTzJJlY5Ec9ERAN78gqqpPPE+e+b8SzMY2I2834YurI2cYPJZEGnT/R5em81dymTBWIy7e/
xgowy2k2rRYvfaebWN50VgWe9XDYHqxwIiFIkcb89UtvCIM8bfXzqIbrab+0s01GKixZSI+P+/9+
0PauvhUptVflJ3L0tJYlxRw0uWVsj6jRpRGX5WJCxdHWLpDT6Oa8ilvOcbuX4cpOD4tbkAn6luHO
WTgO279NJafjIYEOlatl0ggYUu9SKzrOqEannwsxTL0UiFDrcPhrgY3+3ouWsP0qG+TB6xw2fiP4
jdhAwXSb4VLzxYa00SiwkCa7faV3FbPpIBTXfti/vNYY+m/d9Kh0cgHTnc0oOrl43x9OCJTQWMnB
Eba+TL7KT2RC5L/NtZdKvaqTOFf7wWfHbY1v8t7eoaudNNpwv3b46BA3kEMtEuglpnuCVq67pDt0
pmiVObRTzOxfBcomGg2KtrBHBbYeYDPWGq6TfQBaaWuGHaNw3Bt5ULiR04e0ufAuxa/d1FNcMmBh
ugPnC9ijMRiqGikpIw1o5AIn6QLbjX4bDLgg4L8CE5AGlIoLarWtaIlJRIQVGvIM0GfQo6EkLIZh
PIHYtkMEJWFXV+IRFVD9xr+uTNDbeaWz0UYortye6/BB/Lgfl0xOcNULjKGumm+8k5OuhDVv1Oek
jvbOIys/S/SQIrQkWKfoq59ojKxQ2s/rcdEOIsDvEIow2ggsSGj+s9fr9MsjjFQi1SK7OGr9hdNy
dA2kwoAA2KiIx7Z6mTidCvaF0Ai9y4fI0m53AKep5EzpxCbc+zzt2nT6LCxY+oIwnmqXTS02W8ih
/uHJC3YIGO72SYBQ2dJSlLa2K9fCZw08rAu08YAxqORkqBZgcw5jWAgDJ1Wk882abu/hhC1n7fBP
PeJQyCb5G6QdpLosP0RRSTZCrf4ZKwTyU2dHVScm9qPTDzuSxXonIs0jEoIuCE9DwWQVesd96a/2
fKeYa6NSqWCAE/w1hNdz27fW5xGdMX2alk2VWUJXGpLsmco+B6q448Fi08+9LdxXtVWeeA77iAVL
WauvxXgji6VRZhkqej/x54qbWCjBfbiAXPG0vbqGjnjhbi9BnO5YkL1MfdLxS6gGI62cUxgvpR2M
u/D2Emblzjb2uRvzTpCmWJmQTTwIZKETZquklM41R5Mj6R4vF+YUvvztXqtJS10v/dLVT/x7ai1B
HR9u/Kd4qf2KIX0eDjJDFlkcMwKCA4KlIfF0xNsmoMshH7w7EMXydJZN+XCEtm+eREL9twCX3Qdi
baAWVCq9SehPj0iEYSwoixqtZz8SnJ37CboiwL8J/3326njeu+8+lcAGnEVKvnH6oIQy8Z4X5Kwe
KWq/70VVTXd495VO4Bnar0GOkHzPy6c7Bo3HnksBIeQAru9C3vWcV4krzQrtnEMTjM/wztkjpMzF
ScPMVKl0d6WATDtoZZMrA9SrAIAGSO+jzVnWa6qR6doQlnJtudR+vKWSLfmtR73pqG/lE9RlEiJ8
/KBc2lWIffSRZ2bJpwC+Oe0JXtzaZ/Net7fPG+DWZyCGz/Lc7svEX8kQeQkCyYYwglqNbKHIGZYl
1VYt0xlv2WflarQvWAfA7yagl3KXnvjm5MJZMvMyrekb2EBC4iAWwq6Ur1o0G3UbfdjjEXNk5WDy
TK1sAbj7h0xH1WcL19qBEgXQ7tuL5OhoNKm3aXGUf+K/ldY72HedQjVHXUklr8XaROxtWzcuapGY
x7r2p6nqdTKs74HPyiJWw+jWLYi6li/8bloiHbPYAoFyCqXzEqXEUH7Ogjt8bhEheu4h7c8kkqtv
rS+/9pYkcmo9e5Ip/KdmY8SQbMgcIYXCYuHwhfTiEWANLx9Vt8V2+KlKy551B3HYqiwYdDUT05iS
AwZK8rdSdINS3V9990JRkNkbghGMuabM78f4yQI3i/pzDkwMwaJEDlscRkUMusbMbScOZsPUzyDT
xXLK8PCHiPPkkiquOLoj9GlkfdVWbKeQnlzvCpr1SuY1p2PxRQ6sFt1AUv0kovQZOklLTBSPSag4
Bz4AdbAi/lLcIobS/MLmxN+OKusoVbgZePQQvr7/ofahaipELc+BmqzuhqpXGvZ6oloqYwsdbd2l
Po9/DLExlgnzifirCfc0dTJ7NkgoS6ZqKclSpO9DVCk3fHS4sSmFSJLFYRtnfwhcPQ1sj/9d+EJQ
6hPEtBL3RYA8U7klwZfmktkKm8VUA80ywfW5VK3eMcntvDT2mJZt5JZV9VcTL9soy923q5ELYmEb
kTPjDn9OWrlbDwqUO/yqWQOx9qyTehTRxgsCWz/NN6gIC1Pon+flDQd+jkhF4keeDEGH+eSPYYXt
AjL1PMjmO69kHgX/QuRSsblx8a64XflKYRLxQ+w2NMhnKcmr6ZuO29ltXB2Ll/yLimtWSFy1Sumk
n+IsxtltUsnUTlixgJ43uDBnF9WaCpocP/b1Xxk3HMaOiSeNs+JJw3KMmIGLuVqiaq4fwm1wREZG
Is8G41nQNxbQgfQ4O2mXR4P6HUmaF5JDLxF1NzdiRw2c3ts7Kx5iutGGeU+XJ7MN9FI8W6WhETEu
AgkbcCuw3+jao8dOlebbbTn4xej4yoKMPGggPbMT3D19xlx2lmT6CMZ4rwbi5POrsd2fzbMv1rzz
2aY3ff5GzzSPY0Z4MLnpSWLcp7wdq9ie8PjDowZLQE1eongDQxcdaI1S8979kCJN2DX9i8mSA0DQ
IH5pTBehPf4lvL8dCulmo4ZYngFWxzINzScznJfGWPnI7jrMfJ0Zx7FbmA6xgrAR7WrIjPdGTkZp
YcWKwOciT5pHIdAxX7zcFhRrESHo2I2gWqRldSSzSTKSFqqwEGFd4HCCeZE22TRJV55lEv8ijwB3
9BQ1qW4GN9oFGPJ16+kBTQz9LqLb/DoPz0dpHraA9tzBsglNix8vbwlZ1zxQzn3Hcyb4v2aEoRVF
fhkgCNwfSdvJzkHO1kEYQMPrPr/na0VcLtyvnj/ZWPj28DfrqtIZS3j4i+aq1Q09UM+plu4a3Caf
ehHuRQXZ40h54lzM/TvcaofVehEV97kcV9lwxCFSLj93QKMg+YZYSVGv0LlsqcRPEbAlx93PXunj
C0Zt66x5wEqeSkq0vcKBZFmZynO/2ZpjGWLk8jpIyOAq1Wz53yBo3DxD4zPL1KBH/rbAEw4dZ0fx
eVZFrM01QvBwjdRU5GSHPsndUVr6s07CKQ2nyopUyiePAumeEFMOZ+84SMDG3bSnJWNkCzX2JGLE
IHqFTiG2sHMxKadDStVRfQS08jn1uRNd/pbdn4A8c9Ft/KFPROIjyjlqGc+n8u7D1QRUtOZaKl/C
Ns1tGE4Ww4PJaennPeTP9sdziSPNi4SBo5qskSR5wT6ynuOpmBa6MzLFE1PzqcCBAT0iaJIMn+nn
pfhZ6s8IM56uq2b3/3OgemCnRNME2D+YTw9GwCTVJwVNw6sDgEn84lssd6Y/KD6Ky4b0dzcXGony
7A8V5J5QIBDtqREdSdRusj6DBKNS3bJ+Pa1uLZpm+8kiW3PQQSUNbjV2BjJzeWlPiJMltRXglr1J
9guMFJgZlrMiD0rqxfU4NEaR6o7ioriYQ35lnk96F7pfWuVXkldJf25BmA0AUHJq8xf22pfXsLYg
w2z11ZNpBYmM4AU8dOWNcfaEVumruQ0eDLmeI9uutXxB87qrGCW9lj4TZ1lWFpq0EL+sbD7XFq+9
fJZjRxRqAfev2DBHkPdULHI2ZdzUQXP7RsDXRPgvmDWiWbICmoVWKIVmeah5vUVPsMrjSFCs8UDf
BoOArryT0ANCTE9KmnayExi4poBu/TgXZDHZOzpmX10eLZZqcgpsQEVVmIcDJ8hMSnWPwaGJrKsP
b9mvNxPb6Y8smj/4777oCEY/GQqmWgTk9fsUv0Q/UgA59xibKXs0W/xWqbYRaKkBuHzm43qwOqbb
rg/2giZNF+mKxrhN0Kr+rvFEymA9VDIoYFoiZibVwQVBBluthd+EQ6NA3+uvhOEXlRWUgbcfnP2+
y8vEKaiubpdIKo8HHaaAYA6q67MdKm8BfCKezMeUQfVjwWMO4DhrNEl+FgnIL81h5J+Q7dOJci5o
gBGMfCR1cCQI/JRiZGhHKCXn/KiP7FuW0e12nlCxg6gzwVy0QICFk/exvZdyCRhSZn9DEZTYNX6d
El68sOCkA5koUVQctD7cGOWFN7MpjztjBsu4WHytB41acYZED3HnuBVsWtG/QpdpJa84TVYS4q1C
x2szn+6+EI6KzsX/IGKCQsTSPLdCvq/PaRJtCkC6FNG5feKynTpb9Go+PZMHXR/VUfERmEeSPkZ2
V3TBRuFLeMRc0u6HZvax7/cjlZrjJftBtHpi2fAjnKVfr5D6JE/rV0iBoi2SDOZiZflLWdESIRhz
UmRLrH9F4k8UqU3oFr7W461yO2Yefe1UIFzJH0uK/gq9uY+gCw6tU6/cFT3cTFt/AlaNN4uVof9S
Knqrg+1b6BDeWNm+5eG6KMTyibAiTSRIA8agBDCh2rM4oE72SJX6xMaKeeTg2Va+UqaoSKP9+zSt
lTO9vgnrbpnm63Q3rXBsV8syzOKuTcKTsUrimAMh78X244cdHGPuMXt6YcLaMjrmG1jcXEBXTYyp
l5rIFdO+7T5NNINtMI4EMe4nU35rwUWbU5u70KU8AjRxgTOl99KvwGz4+Qt134O3Fw2wgooDnsfy
vC0tVnea8pMBTPWCC1HWvHX+R4L7Q0/be0qsK/iWx1lDQFij5UeFkBfHIAsKy8kZzib7ab3rY/4z
6MZsqRivIobSm/MGimRwAQe62JU+oLWHISCNBHc6W2ibmyg8pnFzq14wxMQ231EnwPmbWGCxgG/X
Y3erUD8YOASlRhM/6zdiTU9Cx22EQHe1CDHDpwbTlhPPIwinq3nGbB663Cee9CRs3sx2SPazXSnL
JL0Q27YCNHJd8vydn0lB2vFWp8Do1TGH/wS1qiG5+ag2RN+3vzJVde3CdRE9gLQgz80SFmj2z+rl
R2fvncxdiuJ0EQlQ2ETQijrARogCtfqq818xkCQGcQbXGnF2y2xSMXc5bVcM+VJVF0EKpdP9EAvS
IHdTGMbP11RyJd7R+oGESmkejDUvA/Wp1kl923KmZtFbXU2GOqIscwpkvM6QlzKzrEK+p09wcqFp
f2u8Vc6jbJuJyLcOvsR96an/tBIAfEj7i1iCDfuOn7fB2Zp4JKDeQYietetC+A6it8o+lATLmOUS
FOoJhwP0XyTCuAHKZqKwN0gp7Xv5jVUJAF7rh1j8jOyd2udaPsa+Q27J3C8iM9DgY76xNn9KdWnB
DaVtaqYLiIwzeGE+QR1hJLH8JjPiiYweIhIKQm4lic6rIlDFtk8I30K17cDNo/Q4blAXcbZ3VVjF
I3D9M947/d9LtGiY6SWGzWI2CJp2+01GXgkwH/FjZarLyEH432CWIu2SV/DkyyEFRmQMDIByKW4x
xAS6fXVGLCDHFWbX0EEtzHk9YqxYgm+uDdRmEoWGP85M/VGwKF2jH3ptL7PZXrQXIshowOUC79wX
Ym4e3IgVgbDpRPJ7ievmxvme8kEpaeHFnkHMhEQC11E6KYwAJPo3+29fhGEPgBupeJ8XdvbMmIAz
ltMgn+w2RMSOQ7PbBH6tNDqF0d4lY754F+saR7L5KtoppGG9FBLY+y1t+1OzJ/zIE6B/bV1EQM/g
RZbaARjAADPiiuUq/IIE03YNlj0dT4/0jrO93+jknUKWUAI33nc+htCZpNiMRSwX3PMs9NSgd09Z
mXRU70Ql41V6Wz6EEZL64tyKDPQYMLWGzUJZCwWkLqa1c9LE9aE8sFI7qByikBhmjo4+iuidf4Pl
ovU/85ip80DkEFmEPb7GA7gizkc5dEmE8BGj/8w1mT5Pg9hHRIuvDHbvO8j3D/kXj1+Vg1K0r7A+
rEzct/JK3HEcvcJfXhXMmv8wVTYQuDDOYfekoNk7CEJe3GrxuPZfKFy9twoFSsVxbcwRiEnW2r62
nItQpbkNo0JcyFNenI96fWXezLGEhQBnTPHSlNYjIqwYHzgLLm0z0md4Z3/14sK0n7nFmsO0SnOK
B0ZgrmEjKo1SRKLhQfdmDWJFY7TnwMlYaNNmbKoqecJ0u4XM2fh20Urb137/jitrzNu9R6VPQ6r4
WdG25fT0kGlJhWxDF8N8baLDcOL0NBmZXo4AD5at8h7Ocv5KTy829J2faLPergZm/9FjRPxG8rlH
UzeJ9nJiSb24ll6UUitJXOLabBrKN6lRaLC3ytkCIKu+lVT6vYjRy1a3dAUjpOZ+Vv7hauESQRs5
Ar0rUPU/1ItBtuzNHiNSk9v6OVSZE9RU8rpQ1pIlUDrI2T3wzz7tMIY7KtftZ3J/R5o//BTzDuCv
tgAXjcEILSf4+5TiYtnjnn4iCiJfTcL8USPGEIw0DxDyLuhkzpautnL7JyZ9mlehI9+f4jQ/MR2f
aupTCeZ8VrQghey4xLho02Vk+xPw7ewFm3+IWFoZiIPG2L9dlHahwKqqPy1HE1JmS7kt3rvAmNIX
l+UrGoi6Le515MkUfKqpjPGxA0cvhHB5jIyqueCKG4KHs5iGFbvUQ4CCuxcGdBcdQqsrMJuF6tH5
ofnEGY4JFrakTJF+eqvjl/TmuMK5yJzq9hC3ESPTVTnBTkzMF2RDEZ7TGLVRf7L0NzdBmGT6MTdT
344deVMbgdVx1YTCIgvr/MFLvV6Gj4FY6WhoyLVyP+otgCLHJA0MeozfRwQnmKorTGa1rbnLkRYi
Re0I3It3bmBdU6SdvN7qhwht9iY8Zfl/xHDNcLTbeuikU2wnqOmUEaewLPfC+N3tWUdrrimGn3n7
3zzRLz4BwcNyEdh4U7ZpPqvml9Sk8WWAs+NLljQbPJvBLarRB6C7lyEfO8/SXs0peDVOw6rEuzJJ
CqTtiCBPq4mWgfTINDyaoW252shnEAfQiSh12Y7VoVedWwtiLnQg/9IqmeSb0drWQzmPvYfwputD
+sssoOd7tOiay/qdzFDCwhHNXybMAwABpKo9479a3ZPWE8cmCK8k8Xx24FuMAJX17jnt5pg93Cnn
yPG7xyj8jyuxA/75Olc0i78B0/GBaqBaUP6f+gpOvvUPfMmy+5RNiF6ms8be052NVPp98vC7kOd+
sapWXEVqlRU7gdYh8YnW8wOjBBxTg4k70wVvDCu02oe4iEbW83Iv9E2fFaE7LixxVLkBEIkcUcu9
AQcLkgwF7qUMKvAeC+wwLLJoJzsA7abE2P9fP9MGEQP6wQrmUE6lzxxOKN4NaMdiECBYUYu096Jl
CqB+SRTHmpLWKKasvItMONydpyp9QCQcHsVEGcKUv6Iyc2XcU4VRrFbBAIMOtPOb21Qou7xQzFl6
Bt1eIFSmlhGtbxFAfSqnKz6tdFLsXrArDvIvPEWu/enXITGe/z7vFVaGg2KwFPCfex8R1zxyMzc/
94T5prMG/KTYajZqlD+YxTT1eHWXPOGlRmUP8zpvmvGTJ69MKbbOdIbjUY4+aATiGKq83HdYUf9/
ppcMVkxrHJC/zv1LriYbz+6tGzU/y5stP/IW0yrwwkFlRnNCA60+M2jNy/2floJ7M2tjxcyjoIPu
GPeZvSbx7R5bsUnoZ2C+lY/ZEr1TFCaSgrVRw8n1PYr3NksLUcz1Wv1TLgLg327cyUnkEnfbtQce
h9oMaBa5nWaPl/CHQ2Cn2epssHkJY0VyhBa715Toymzk5gKkZUttHqcrltNraDc40PVtqUhHfdb+
Wl27yQaEdI+Zkdqkxy8QyqGqeMWYzZmt4/7YqaXv6+ZKWhhw8TfD+e8LOUR1LerMHeQrkTikEPlY
BEAmih8ODnjUBzbJJwyqgRXsUpjdaNXgxr8Wscl38WAt707+mx+cucWbQqdBuS/AkG1B0dH81wss
AEFT3SnDpS/KIbN3wcMeE3pnIc7PGV3GvxbXGRLjxAR0Zd/Dq+OOtNUxHVKWyHzrc+Ku+LSx8RLQ
Waqy/UDkabHAKAxWGNPeAENwJPj1rrW8WtOYQv7sdY736vTWdJt8OU2viSW02g1wqszA8zur291d
Ztinu8c5ucWU9ZS1OvCKJoV8WNE02uSg6nEV87rQCGzrWL1DunBaii8YaiLwAC5PA401l0J5yFvb
B8fn/ZQJH576awpL9Nytpfszg9pc8hmyWgCIXKwbFgHhf8H/TrZSVX7ihRD1TZOMuGjDpEziW9Pn
rvk+G1C37qkUK7oO15+iSLumCZ9n7GAxARP0GxbZEau+gElbR9nGGhbiFVwyekvSXmBGXmQrsWIH
32Ge+h+M2Oj/Jrah8UF9wnaYELxhYiwqyRRCKzwd5a1tUbngvUtTSve1aOrldoyZjblvhBwsn9N8
k3kaxfupagjIzMIjUlNZgjc/yFQ2ZY/NT6FzF5Jo/zrkNIb9uxbfjACYXRdpHl2pyIZBQqNKjod3
EEt+qm3AuK7cNSoF2k/klMukQu6/EsSKOz5FVsENd4DnpwQEVT06FIscUGq8c647zXCwczLsqD+P
TNJpA2ZdEY3/w12Y7h/eQ4Nd1MnIP4GFfTGi6OuysvagdyyjDPA7L1/33BeuU8lXobjlsY8H2oll
eM+h59eQ5FQ4UOFv6oFH2sH3p9Dodm/S7t8efKh0oJ+2vgzYccrF0YaSj91ZST1dfPCvaXP01ymk
c56Zx14aUvrs6kK054hadxa7y02y5iat0tmrQ9MQsh0BcMcPuW6ciX3zZpNNKBDW+2MzD9HSvZvC
x054E9C4pYbYb0YEKNXWpJLa/CxF9DYWM7k7hqFcqbZJEj5vRf5+I2O1FCzxI05TSjlNqTRKUs5q
edn+sOGpg7ioIx0TQCWhOKx5Pmzog5Ht2Ak6CD4OxZlCjsO01zmuN51AvmSOJzTqgxQHMYRO2R4K
W3MU6tq2Izyl638wX8MtKAaykaRT74ayl1ypy/ao0AQRoSMPECbwone9F8WfVkyJDiPjboJgKDL9
AnptEvMVHJwN/m/b8QDPERDzlIiy4rBMB1/27LZVUnIKfQccrNWyoSIMo47gZPOHZTmDkZ3DqE9z
HGU6oW7J7UBZEIoywjRDlX3VEi+riOaW1SFmabhPXgR/BBxM8jYSm78iMkkERMgMg5G7lN7eTSOM
59DX16v+yRUlELN1csVk/LElXOfX80eebKyKfd3YWts33yEvxoBvjCCJXEtjBqhgMV3LooPEF01h
LzveILLlNr70nRdd3EiSjjxUkVI43UPyL+WSXZZaJmjOClpBPfjTDZswOWfzoRqePFqIP99qhz9R
sxFSEYnwYDwax3hhfDfrMkCASPpJIaxaC7maFWSuh0a1/qCo0Qn7/SVdVzPcGVN7Jnv/itPJXXu0
/BdMOwERBaNyWxZlT3l9pD5yPlo+Vh3JvyActkI1Tilzl/xhvivY1r5AQmKKEBMV90p7jb+sVhUE
f+OiWB+hbEzSWMyPf5mP8SBRDQ/5k3C4GM/nW3jjz8D6ox3EiGaV/XPypjNIQ7j9hRb0ViAvcwti
Y3HGDJYRcq6SEXLjtoE1hz9Bwqcgk4AX/2BqMP0EJih2XIduDlPWebBuWh3XeLSX0VFe1YIP9E7q
HGA8z7ioIK3LI/lkHZQDTjKZWzEfw1lnR9/htP+8BYck7iA4HLFKVNS+vA4gwT63TK1ZQdUq8RyV
qGpCfQkEZzNN3Qe4bfeURtBPF50c7gQwTC6zaFEnJceLfYhb9hADu3Aqvv8myVbWU6ugsEnWYzSp
+Br9KqLyzG5H/mUaxZzmvwpY3PEqghnJqGCv0OT2y9zDvYigkVg3gN2XkwhPM6btiNNqvIOVLkwZ
7Ch5utTfGhDPTzC/7NqT7Ny2if1mTqIFcPQGmht1eZXO2X+cjY8dATXxwzUFxWDMzcVdRDfD+nNe
hPP9wC3UVkK7zcSdQx3wGTvs8clr148UOAN5kqoJC/2qKH8IuRwOPsaDHrRRBFr3Zi8MoAXp9l37
5ROGaLbgMkuCIb5awK23gYGbIR7v33L4BKp/Vq0A5axCKDslHBRX43qn5aln8EfQPojvE7560daW
K+k9LJP6LZkPnq5zGyHV4j5W7YIeBXbNNPZIwzt0keSNQH2MCcWb0vEUU6iuw95fptJVvLO6l26y
HAE992bjkMV8eQrJZTdf4nTulSQJOXeLem54MRNsEWphN2FYU4Fh1eVcL6imzhOu9RhAjqgQ1sHX
nAnkvFPP9L7q/vNRYojb6znSwAH2RACPJkPwbd9nOxc88yN2Rthxx7LTGoh5XYQD6pyHqwHw3gsf
YQhIiCPhLWUNa8YjFzTMm4ABGmVnPQakoDR3Wkqim1uDF/f5QaDvI/eDmIPPsCZuTRVNfNy9QpmZ
0UZaSI8zoqIARLFUqQS56LCPrwJyWsXANERS00uhOKFE5r6TsGiJpdz02Rxr5hAjtaiYiEjlUwu2
EcyL0X4ucLMNxPzXkFNxLLMY3/b8jG+XB9xgfeM2Ifyw5Al0LB8MoXLQtiT7eGztmDuwk1WX/9na
SobQMXvTsGQWsvQHf+SfZvrk+ktL2DWmbFXpnlq5hAZLsSZzcwARWMyE1Vo9TGwPn0CXuQHGF7Yz
AZwaBtuxnhPxjeMWvjs/W2pf/N5jZlCW2PPG6pWCm+dYUln9i8hKwDUrXFI63P8/wBy37Vmw73kP
Sza181LTmcCkA8+8sobC5WsetN/8xjYwWgSf0bIQwVvBtHfFhUoR9Kdj48DznJ/P/ErElfXVTMJS
Nh1r4c7WWHfcoSwiLY2UkAViFcOdE9OVHp2koo2w3naKGlqlPm6SMbzFmMDXIMTpmmdK6OX8tQJM
hqnszfm0Vao9X7UVL/C2T/ZwzlhnJ3kMGxBah+b/rdk5Za2l5wAejJmN3rRUPbEaJE7v6P03BSUn
5hAIcHcGc1wYR5MqKUXVeJEJt0cwYoQzYbtMoakFfpLqWI+ImSv4rIb/j648joZMLKXLevcStvmi
X9MSfnLzIaO/xTt54dvkF2Lat5Nw/s8MN6dtqBjcpT2rr2UJBhiUmo9NH8hrZ1kNeolzScdvhLQj
MeyXzxK7KwCGKt0fz2TBfJ0kWNQwKMKNGm0KL6DfMxf9Y/KcWomY3F6SEAFPc2TNpuv8qJxcn+Lw
eKHmLYmgFZdAx4LuRprDEGCDMm/B+HlNqWt+tVdWlF4wQT8VAyX434oTOx2u8ChYre+boc6s/93S
qQyCUL3mItcBziPU3AU49Wmy3fZXG0jFXt3RSFO7JidYhkoX+KD4R9txhPUOYOkpYRHMAsfPw9lu
1pxZNB0Wqck9fW5+DUhwDLzN3kPIjDQKS/OnAmZfkZrFF9dzJIXhdH1g8Ex/akAw1ZbmyoitkN0P
+ITPT9VWcUMlJFqBXwlOJB3B8H/Icr9rGQG4iOnKM32TWcO/qmEa7SdVqoXAwhMn00Eh1Ol8UIAo
UNionpH1JHGzl8OLD5IpCLCG1DI15px0WfvdaKpbBpCOB1QdLHits3VO0KpBElEn8MCH+xsZR13u
jedTYhW+FIAQugcXdvfJoXj9RSyyGBjARBwQdsaWw8nZ6RW6dBvHaNNr2Am5g412iKmPIUwEBlIs
dHdMxAOf5JSB2T4WXP6JYyiy7CCRAU10Ud3l+myGiaegWah8m92VxfoHhuhrqSBdIOEI0c0qNP4f
xLnCesHyyjfhbAqYdyD+lpsadmtI4rfBt+nHx+KAxEU4MU4j2rMONdk59cyPqBDtbCKoICZdsAFB
5vrM6ICs6Hl4rjAR2q1G1LHg7c3jonMY02B9C1G6ly28krMfIzbL7kCZOkwxCU6tz3FZnprmzbeS
82YJ7gWEue31t8MMUyYIAAuZNIqx548PlhFBRH55JnRstjz31D7mebOkcghmqef3TTo4TenKKWLS
nta3kcl6Uh9wbF6gga9M4DX+jSZlvHuLMIKAqsI4xe+/PQ3rIVNL5BOkgWBohxANbaUkCadDF80f
EDyb5lVLTLJF6jUoTcainis4BaTylb9zJl3RomTYnsJkPJTU+UnCMJpNLbq9gKH6jr5AN1GUW/ei
PMw09wsTzuRq5ZQYGOgt4HRj2Wr9CWT2lwRRsZ6Ybxiv56A9Tp4sFYEFYy4W6sF0L6LfEBYDSrgr
KOu7ZJwKCGZj/uDyj+MJBwunsxXOpW/qNO62Otc7D0ao1M5Q8ebnlf1lH1dnrTrPRFtvhHc0p2NI
mhVMFuHWqBRy+yFA2qJwL8M2nGAiU+iHT330X6la92d8vFLrRuPeEuqd9N/5SyRqqKv8APxJzd3w
DUHUw5HIRw5NH2DaJymRC9zZHQEZfxMe0YUQG+SH262PQmCwx7F3UCGFIJQkOS0VE63UAjQI90nM
rcfba3wQR+EnuX4dtuuilTC/xTF/mZEaj/YW+s+KB5q+USM4KTHklySab7RRstdQKrq8nEIV+5Dx
ifob0Rj2ULL64lDOVzDl8lIbURolYGrMVeWMNU2oRAz1CAkmALenQTOR2BFYJkKmFnbOqGBlTP39
ZnwThKoCdskPuT2lpsTgqqJcxD2g2CZNTbW1/yhaF1+6lranFphmgcHO2n0UScPK3aayS8u58n+G
FLeNsVb6hl9qlayNEKnNkL2C3Nh6vVFFjSB2Wkr4HgQMZv7LbdWnuMT7fqG0EavQ3nkqijXkLgvY
3FqmLPF6xoWELxsGrBswYxTZSaxhz9c03/FR7U1WlT+gMxPEzUDz396rPjDnO3YUuzBlNzgbdIPg
ZP5fQvuPT1dyUQHzK9Ix8efFhxl5BwVmxNLaQeoWl8g3+lb6HRRuMXaCE0kfLpmtGagQns3w/jFD
Wdcea1np950QiWE5kw5jYHmcHUyOMLmcZOPwQ8cTPUymaP98LHdMxDIeMLHpyStMk2hml0K8TYzU
bgOwjTWCUZgVELnFqGfsFQsoyPxDlyY8wuXaDj6/n5m9JVPeZm3WHO26ekaVBpurVR0TGK0s8UvN
Fma1v+Ks3AromElK7eOK82xM5XfBHr+YrA/+CaIGfW6tsj56QIOpJf7LjX2Bb0L3tOFgcCagdnph
x7bgSovBkZrBhbO5YeVoueSCkUqjug8oGFjyLR2HMSw4Hxt9XhsHXD2g6xAU3a8bCp6clQgp3ZEW
a18hwX+u87zok5+Q05bdiMTC73kHhmeOSv6iyqetlmnl5xu1Gu9xuh733VUnaguhkRGvSWGfqlfP
VTqHczCdgNO8jSZLNfl3BNi6WLwjcTjT0in4aGyluZ4gewRfyW25lhBoILDRSOR7AQwHt/8XSdvu
DPhuVpa0vWXZbOvdkXhgNqfj/rjPn2CdXBIZ0L/d+zLmKKB3OU04RYXd5FtW+1XC36huLvzdRh1j
Nydp2TWVn5Mm+Hz3XAph7lKVB74rfeWzUK8+knYKCgHXMU3u5gGUJFSHVU+UK7LOQBOnVVnKPSl/
53VZvPKSDxp0rB/wwKna2VGu1+c10UPqtBm0YgV95tHXRy5851dVMSnzndk7/SOkUjAlGnVK7UL8
+4Fhw0qGdUn2Rjg3I3Nax4kBfZ0WT0DDRL/cTaGFqjROgKLS4BBtnR77fournHTUKbD+JC017SGM
iQVH8goGXLlduxpA/kRjy9xzT0XPMtAKrRwMqZmzp15ubZadBIPxJSKVx/o8aer4te6P90EudJ38
83cqxzthhWGS1VDDIs7irx8emSb+mLAL32jegAZA+pbReVlvbx7YXYwOKh5BNhb+ofgUvtzUtj8M
EeOr/dksWD+SQD6q1la7HBOuhINdUWcuoowgpG53SByn7vBq167Tshmp+wdxnMwQtolg6w6psiuI
gtVbw3Umq0HjB0RJqSAZUiXbD+sgtmuBXn+mrh1bBudVTeaU9YZ+dP9qJBiLuo95CYfLYuQm3zQ8
jqjLmJn/O8fzb9sFfCkJ7aUb0ge/0e7o6nM6k18sB9mBd6566RiCCZt5NrsCR70+1Vdo25cUmQPZ
tAiA1MueQkAuymZEJ/OJY8kQMseRc+MaE7w7DwIZRIe1cgSPEVWyinG6W1Jejovfrq1EHbLks6qm
BA1Fr3ZcwVyGJ+95GmsLGeQOFFTf8oL4UR8FPIjk5POqnEsNhRgNOEwTUple8g6+WZm1bbh2wng3
ITodR0HY85BPDLSRTlKT55ITDiQcRZGD2KeygLSZTvZ1ahOkjVFtEy4GTYcujmOWapsz7kAWln3n
jpc/7bgUHElAy8csbWbDSB2gWh1qXxMw1m3s8zalCV/7HeYZJ0zYOEdgM70ipz144SNfI5L6nWZk
hCdZu+1RJG6HL78Tj0cUYdfK0QNjh4FyJrStrPFbc6SRJ2gwHp2XQxGRRlZDUjlRUwFs5T08LAys
PWdCxmTF2TDWGN1cb9Lz9736NlhAihTFlnM3u1ES3kkyhWWseQlcTl7bM1WgRamP2yXb6C1/krFb
5OnJkk2w2shTcKNLLXQKnsZUnxcWh7NrkSwMEX8QTQstrAat6aaJdoURh/x+v5y7nHwWilq+iKgu
os/xi5lR6utj7FHi7rw/ebnEcvCH9u2H5r6aoJ0VW45WCnwkb8hX5qpDxZy9/8ytglruGhaQh9Ns
9bNe78/0ItuBWVYFC+GGdcAbRyOyZ8K3Fc6SiWE3kGLkLjJV6KV6WoSbAki61Eh5UxKEW8obNJSF
73BocJ9/I+pjdTfFTPvZwYWUesB2Wn0ea8A+b5uxyerqDxiy+ZYp02pCQBPaMhWuzawkhbq6n19w
UvbMLvRbtpM09zLGWub/2XhZ7fU52rqepARSq6KRbeON7UqrIzoWaRxmaakvDFZdX/mfUdyP2PFb
6TzSCAq5fO8ujXbNh5m8qzhKJ7gzsWOVjX3GBpq4mbfS6Vbf4CzcfWO/yqX+ftiw1B6VFf5DIz9o
YyUY4v66OVtdaU6YrvJ/m0QdYGpicde/SmPZoIxkk0jvJg0g81hIGgXDHgXn9Rg1LbdC44zmuM74
1mcs/lUf0DpQqPFarkGqPGQHzfpGxlGopBzX4p17nGLreRRIvuhDtkQtQ6t53lbuNaX4d4uA04U1
/za66tvQWgTtT2Un6yRAKP3TmRzTvSCnYyyxzxK9jA51OQM/QicuzMlpLWxh6rl+OCHI0fnUspw/
QLV08OrA2KK5XSN8I0jvzsrjLDsobjGOGZ4qfe1ten4ixBqRDZJ3US0vb96P2JBFb1O8RLCn0FwT
Opm4drJU2tRdLVutfAyLtU4Y9eHZOs8ZuBAL7gEH0MnfSHBJv9uwaOFkO9Tq1zLO1+SN022893K2
TZDluYZH04PR4MnSvPmcizjvPX/qGGtstjzYWh4Ltc3obNs4wcXfR5qNFRUJ9OdyDQpo8pPQEoN8
ZYRinEWOeDdBte88PeZ3BCn70QBhOx5oF1Z8roS48h8bL4MR60wuwG/qwuJR31bnp3vDNsF+kBdi
D0l3fn3DZPZNSG67t9yc+3EWr2JE26q93UYIjbbDhWPV1KNukcLgg5AJXhtDaNJhq8JkUrDVoFFb
PmEv2IYHNhI7/BQMONnYYN/SQLzGRSWxxX8fQdcEvuashiDoCffqNeQX3zwsuiTfW184Mn6uKAPh
PqSi1TV/B6iN6XlpUAzXw4m874urIVCb/5+ybuYsnlkQKLzRWGpBBuVYQssNpzVuEc3Sg+g6WLt9
cO5OhtF6Y1eG4dOk4DO55SJQ37PZZtCV6vbpC44ODFO9e3EluIOaM4QNKS+CroNxwz7JnKQmpL1v
8H4O9BCo89YcPrRWcz+4Jby5dwV4z0YAzr+BNd2flblhB4AxL3iHZicl9wYryyyXej1RDVvDks5o
CG1aMnqic8S+/NzH92nzq6KXH34Tn1RgAgTOngoE4otW1zpLIey0fEpxg9CcVL6fQq/GYbLRCPmn
radT6eW4ESom4yM6qtlE490Xm1rntMvPpXFBCMQ+cnTcV/ckkpHXzkLfq95fAAUtEYfLXhs5Dzc1
krhMZQOICRhtMEuvEGgRiRTt2iJsWYfeNYuWh0MMaoIXVR3CaHCjiocdOSoJfkiuZzqL8XMDCI9O
H2u/qIAZedVLKYUpZ8WVaDG/WcRTCj7nixkxUvyqGh2z/gNesP7XvGMbAwLh6ODGDw+RZpp0SxiT
SKe5xb2CxC6j5iMJR9oeoZ6DHMb+lJ6pStMORDSpvlM8/ICuRdihSe2vKjDH3K4ObajDjs94IBRV
7CZJ47HcOrk1q5IeplvhTwWxTYBWCHVS2phpYRNgDuOnYDKMGt7qze49gDUwZtkcCSERDuG+fve8
+ZCAwC30FGn1E19yqZ82BF4ou2nnnbDz8ELO7x7z/3O2UdR+WHvjfSm7SwSDpVboT+8VTXrPIhof
GjFyvdTpjEIyv1T69ZM9dAHRlD2W+X+3668prYrr2X49uHX07AWuNLmVsCD9owAsmpg9L1R2Ky8O
EKrAgWW5PeT0UoIFcW8IEkQfJPE8uKsWXoRWMakfX7gP9omNw66IAtvhiFs0X6drQ+X4O+50oKtm
zFfpg1rWcWzuDbTUK4M3TyeddfOUjSmtk2ThXFtSA5R7OStF7WFwyf76v0/iXRPwXfYhepeIKfXW
ak5i+jweFRBnjo18tPN0lC2hQjdRF4VyAyml1oFPAW+ElNkabqOockHtnVq+tFTveRDsgz8/3WzY
qzmmZ4/tosNM+nrxyNaWUVIZc9k8zEjLSTvY5HfV3tvAIsA59ickQ5/d+eG+cx/dpuD3rocOj1ek
5cE+dYCmkuieqp/Dg/vSpFIzPIhwrzEVEB4mEI8QaZBYMdfJXvgbUmAnDoyUhjnBOD8j4SDko1H3
PMkF/MNSzsnYZNGn2u+ls8ZdjE2KMvs2G+W+x+vMCJ0FQdGKmLxTDSjaP3W9+jgbr/OZlkiOU0g0
M9Nledq+SXkVhNTgFDoM362Ynhv+DYCsW9xfZ7wp0Tw4TwZW24/lEUBSEkBJ78jWk5N0NVoN1pQC
40AA6CI7X+lMVqYp4xhU4rtrgMWXixplSvuG3iWfsNJEwtEF3BOdtwTCoAgn3ffgJo+21Hfj8XdA
dbdWrPDY2E0BXI2eSzXQ+KZjsdjUEDjZusC1WDmRLVnFlS742WdFBQYryWnb5l0e26B9iDb9aDO7
GxjtX9x7mweCZJ1zFqzJq/pHES3Fi+HDKeX5STZS5pXeHStszY7UOPCT1uPX7C8awRL6fGbfnKo8
BG3T8GOHDAw026xxNYjI6spxfC3cLem+i6jlNGiVhxeCxAInJ1QtJYsCAk/vRhq0L4MsFABrOtTv
TTcN0efXyoYTDxFlwWbhqsXrt2vyJIJhlM8Z+5jwlpsXriShy1QH6YCuH3p7wjwU8e+area5fsP1
an/nMDtEytBsFdp3h4ROkNXsYd/CPE0YWKeU4qKhhNgYtQvRPQFbkfy6g9ZudU92dttAHpT6Ky/3
h5ZgN6Jf4eZXhzaX+aIzIEZMSqYN+76sNMcZtrPMg4QAVGTtbjGpS4YJQC562vAoQ9M7PgNhAuAP
nJwQ3u0wTfAqhUbcf7HjJEQql+RdYieQD0FeEYKTWKXBdyxQfCjgGIVL7YWfpA2eQhwjXUEkxn7w
OJJWJPmMz2+ya9ha+EHZjPfY06X4HyhB28Uvy9UiwhTFa5PYX9rQsGQtUruPmjuJ90GqOh+vVB7s
nIUY5Upj2fePEZkQTKoEgo4FxW7gsps8SI03052SsIMOutXi7XoVrDJRoXT6oXOWtr3adS1nVYbN
HTy3ksH0h9cH5JclHJK/NEur+iGj7vU28PHrx2SEKkRDXXy7b0yFPi4Ke5cL/xgP4m2BUfhW1epe
+rPiVWpukwfoqQekrw0PntCKYleOEffYwQ7MO+oZOYzZst18y2XWzSSr9E/7AAkeQuu+XCebbFr2
x2FrZ466LrviWuCflhYlClZf1LLLLCQdlOZF+t8lrqMQ5zZaLlofxikOpJrXPD+XYEXPfebNg8Ol
jthk7jzTaH8p1+qUv5464X5JwqLV3rN9JG+GF7vV0yOgT/fKl2GbWniUw2ojKo2L10EezNuHGxsS
hdiCzCW/sI0ID19E2eh2OPl692OU8cLXSYRz5Z3LTeMHnhimEnmS0J1qD8nfk6GN5clFl+/2ASrZ
i6J83Bu6rqtgoeppFb5wmsQb2tvU/4QCKtEHhYb9aGH+GKEhkFa+HTxJK14vHe1LIxk/3p4XAr02
Cfs/IsOWC5VLzPnpMMrh5wXSUBKgvjjctCF/5NFwXcjBSc0ypIBUE/k7NdKNOMVvzB/ZqblP5e/T
qrAm7vzC6yDohUTdN0ILOTEPgnG3fxxiea0WUKUBWFNgaJk7/hG9h5Mzo6TRt+pnuquyJRQucCex
R0h5JdHYGLr6VmnwzqkKIrS8S3wsvUj8Aen6HesnpsTWOyaJEaGTvunSBNZTeDGy91M8BprZd9bV
AYi9XmESE2OxN4c4/UC3DGWsIsIsrrRnFLa5hGWTyhvC68Q9fZR5tMFDjMGUytmDfgLanliYc9A6
xvUPmnQJQ3Vmko+9JqJhvRzXdFvVwV+V9nwkjP4QFsp1pGpo/JP1cvmSS525OSTtF8gikzJccGNi
3R2+3pYJ6f7EAa4BOQsKhDal/AO/2luostHgwpjw81baIOf5/sW6KhJNGjATjk5u4VmhWzK1zyr9
5emqg4fukG2EsppMJE8LecIey7JoG4TPF6GEjcJIxsWFyNzcY32XsUf40WkXxgA6vtuZ4Cd+fFvw
EVmBpchjLlivwiLQ8Lt2nNmEvGn+HLAbArJ4H6sDOvpjytHm2cTMfWcgvdpzraVxfRpjj76jF2qa
dxy2h6Lv/xXysEH9gpiL6MCFzXa2xbEEugOBUyhOl4HNwd00Qcnsy4K3c3rN+vWY1bVxVwdlp5Ed
P63z8mWf4yX+jn4cfRbsRyzln6in6YbJUWTsP+P78Hj7IbPcTTI67jehjzdo4bD7dvXv+dBJRK+d
U3kxNqFeD6zXPQohqZyRJyTE8VGQ7uzbUmLo+7K+OQ/VEVEDUNIz2aWpeBhcjmYWLogyO3eSaHXA
1qZbHl1XNVCE1zfBasUcwYoVa9UjweY4bOtw13Ean60hNaipN3VtSaKS85FRVrHleJtKNeoK4njt
N980xv5baLPYpiHC5blu55ujhT6YPV7xR9qmjNEqGDF5sAgh4+o+cd3JytuQVkULWsYH+4nlUvLC
vVx/okdjqXSh4JZdep1nfolist9MtS/mS0uIC9wq3bwSH/v2G+S1hozof+Y8hs0infZbJphZM5+E
smNu0Sv7pAlDvsgmXrBtI3ATl9y8HexM7wNQQVCHNYllJQJSlKsPsylEVOTNTLJ4hsHa0kIVfpcm
POBUIbkMlkKNYh+TddrY1ZQPbAwesVyfL159SbsEGK3U9fd72g5s5aS7CwKGmc7QPcjK+n8oyuTU
Qmy4370gJrWAOI+CppcbvNNvXEdNF/+fuHqS880n4WYVCb/B0Ta8IwyC8Eg8oPz4SF4dfR24otBN
8IsBmCXMgRTCQ7qGDh8qIrBAwNWL+qvrUbWcT+tCim0I3KivKC2caZLqQzw2e0b3PuCBdjzen4DZ
prdrL9h/SNfn3kvWovRNaX24BaHmKJjOS8VwRcsQUwEmS2Iq+WptBXaO6vGH+VTfxBQK6qe4GYmq
SL69i0+lmmUD840GcE3v98iEbu7J507Bi2AqcqBM5pJCwHjVzNqLfzQVpGwmrkgI4MxX5zSTGiiX
0s9FvbmNj9uL++8t9L9TWsamlFv8Zl0EBsWkbfdH/fyc4VOoEIMSh39+fxmpmhYiUwhQWryM/xpn
076o+eEbDuQVFZBN0Bvi3IDSSSvjZcJl/JozjaU/pGc2ziLsexbz4c2bEISzS/KwohgBRW78K4mI
ywWQX5Zu/tZwu1KXAuw6T6NQzRlUuL6MQR7P1wbFgAtA9Be9ukMNVjrAIuH39GBs3T0zaNcp0cG/
1fqTBb+31JxqE6LoKwIS8PyQTzej5BKkIumK7UTv25JtI9ArUlZlq+0m+dc7oIWdK4dGbW8OxKwO
lnOxPU5ZsqLBP0VGMcPs4cs35ccO41lWEPkfiphyhCAreLeNym1hKk+UbtvLIGEqwL9/wWsGiI2c
FXim70AtwD9X/vx+xz6GHs++SSidCFYk4Ja39BA9iqRPo9KRYN+oHDtGWG51HTivHw4pZvndZ8Me
C5OzG+IX6Z6I8bHK2aEM1IJdlxA0QNtVYDtVxwSqcWQ8vAwRNpoFRJYnqVY6MY2V41n5dPhLAEj5
ssAYfIBjrDxC/e4BhCrLi+zJPYxvJEGbvFDwlB0jdhORoukdmhZwzdIgI952FfuzLDL4GEYYosOW
b6KRLKaRnt1Ly7KslWFiJskQaP2RA8RSTe83+KRhVfl6TW9yYINJztEa2m5oATjz5QndgEycdfoZ
+stDdH1KMwSzZ4EbopJmNCqsb7PIBAvgElSBTzm7RBfvGKIKD+nU8/LxfMpfq8wve/I1L15WljER
BSYJLNKu6aI76lgshGUAhv6FQIMbGQ8xUNbwTLvpjgkYuVt6vEuokK0Jr6J5XY8LOpv6HD7MrR/H
wiN9MjiYRQIrMRvQGmqwhY8qfv82PSfVdoqWxCwmkQb+1EofjWmCX/9HJ56G9eC/uYEYrydp6cqq
DRUUtbFgItQ87HsiIB6YZbAE8AicokjO7nfLgbf9NTRHPYeXc+ZSDqTsKYtr065QhkL/P+ahS6nL
pLcxTIQgk58gc+3lyytjiNLfa++CJCbY07ThUf1nnFxHafiXs6zoOef8HNKYFUh3rzYXEVznQIhw
Gnsq0rR43xRo/qcbEPDk+Lnetrj1F1+CUkq02yyYSmRHFVZrgoI3mb1otgZnywAzQaV1/GO+jAgt
pKzQ7GsiO0LTQgKf9BQX+JMsF2A6m7D8Cp6KsHGvI9AWTy13+YQJtuM8rBFIjvuzJwxquy9AUcjf
a6CStFhwlrcx1ZT/neS7XF1RA/DuamZTqxCuKRIKfifzu4IYC5uKC7+57Kad4aTZ2YEFpUy4KgOX
1x9qwsqvRieSDa2xDNnscQ2Euheh+96ptMcf7NnNOs2vjkMXaFlJQU2y4b56X7sWCFT1EMO9M28m
MXA0goiQv7a7sz+erIIOG/O4ApnZxSfnRpXOobQjnUpmZ0dndz+PYCbmWlYhg8BUODVOxwPsL1pg
ekiSZnp+NeE4CME6fNK9bxvXo5k/qscOtIxas0sMEWnL/sYvPxdTVPBwUCc0N+ur4w7eBW5SNUx7
m0HUDa/ijaaQWlKDz/V4CRnR/kHmcLYoOdTKE0J4B4HHZkots0zxXHwoliBE0KkOHp9D97u482+W
3T7b84RVQzYZ5sZ22kZmMYjGuJHcTalbUdoBSSfVDHwutCKKHZZx3QWEdKcZVf9JVcVB26VU+tf+
Ixe7+4v5I8NBiTEiD8EBRLJ69npJDAt3XgjpKBaXe90Mq3RJSb9BwKHdyaMHiyOlFEXPfGqw44gy
HLCabBaObCdBrNvtxT0YuRkhZB26e79aDBpA8xrrXpIS8tGmjmploxEzLh1qfcKUgat3xNWV/hoe
fbe28x7s+ZdVnh9mfpJ3hmkyWKaDsn4Bayz8lXVIDbiG8f9owKJHAH9jn6Um2bEJpX58oEMQekRG
O1yghNgchkKLBSZI0G3iIuQpudhnxSH5SU7TBov6f8I8ccsYOKtVAEpbyB5Xz8dC3Sd/rFImfaKh
43tdp87hkbiz1hdrjR41/H/8rx4BAsB4SLtRIToxGbtdCi6veCY05tce2IlYIDqrgZN0yrYkWVo3
ew6SuI4pS6uVAxpgDB14obiSqxjoPCB3AZvvSqFu9rB8WrsEhiuAjugxqFNGVV5gZBYpWKXYd5fb
5hiIwthwejgnjzA94iiboB/H6Kd8+oetyp04+IoG/CnuyoyWU7ni0+8SuTCBh1IDIVM554BHQray
ZClWW7C5B2K2ufMuYXhxFOkOJUDwz6eaDtdeHJGQKxKQfvJTDH06MTUuT2q1im8+ynVHGWb+Dh2G
V27koAcHJtm53R0alutr0VIEplM/T7iQUViSAaMXIS3OSnzaiHRrU1ZOHkTMmOpEHDI9CIV7WFW5
dmyyzGX6dYtJpc0pDvcZ6XWYuGEYAqPC/NG7VOO8UfIKfG6YsZA1ePMVkCqZVyN6MS5yP57Nj4x6
Ndy1f1iSRA+EZTn2AEhx4/XUYeMGQ+rzVJ9iWPCOEBHvKXgzxHqTCcLcMLhJQY6He7iiWJRs8DMI
QRwJ+xu54IrkwJTUPb0tpTcadJeKKFRbsA6w04qumF2qZg5Zjg3zI7mif3mBK6GcovMapXA4SpAT
iBKRIUs14m7nSlx5g7ZGIUMinSxhjsQ7gDRO0JXxIlMtYpglJ92ePuz3pUec/v6oJBW/jhKNBygV
jA5evzyA2ejN1axTl3diE3jMA2MaYjBrfrXDdMBUkDjvm22TTRcm5aBoNDHUd1UxJn8Gpm+UUbmu
np49T5cLQ/p4U6oFMIDEGso5QdobsAJHQZC7Iillug29T0Fa/G0vpW+crrbvk8Ix1jtPX4qQ0SkX
9XI0PnLdO3FrGlHf56wk+cYkl0Ts7JS9VfOIPXmVLor5ANF3cEifaU40e4EQZW+V9wHmAX/Byi8y
zjEa/6j1HcYVuUHhImpn6iDeUijEpjlqgHRIpETyKF8HW1lus91Oc2N8UvEQHFNjk51MBEpFkLCK
vx9ig7+2Sg68rBuU3sUJD9p9hLs4D87oW1l+i9XmSKXTziPRc1k0Y589oZPy+Ug0X00/dNKvnoAd
X4HVe4mqT4WjlwarLzekxLsnx33e85+UL+RyklvFoixIqBzXNMNVnyrwSXEcy2Yvds2xLL8/+Sbw
pPN6JKGeSK8VTx1P1JSjcCYOhr+LVSSv2JZ8G3rNFnSYbpyVsvE7k5wgH/Ov9zRVeaD/+iroeJfU
fCtKPChfbhsWCsU0D4UxXNeRFaK9X9BoY4h6sxR2ua8NYsFHUzBToApwYXPgyM4EWB8c8bk/GnjO
y9/pgypMbj+I1pvkHj9tFpcZKBuKHBcS7OeG2oneycTP/lizHGJIuLjhYbYddaA9TTwUSaepB2yW
LC1UJbM1hp8yXEhXQRvJyXedZZPUhRXhrNzsV4BebsVyaZsrZsa7PWLjLd7XJUOxifmw0s7LAEO4
QOWeOO5kGpGL/sIijvoF5K+yj2sNGI+E9GJ9GKy7PPgMJ8FXR1IVwQl/lZpXWzsEjdMIgYB0oxme
C5jSqZZiweY8Sl5jYzA6kmSjuzqmtPxPCcHMD1OXF/5ZLZsC0+iap3Lq/q66Y7zv+TMXUQclPQ7N
vWVH1Oxm3nVJzxPJyGrAmI9lW+At/oJtd2BH2W1BomEavkJ9OfVTWZWVjXQSHQaPIdWEdcxJcycV
J9nTgk0RHaHWy+vjo51CaQvI2yH/8lNP5eEuJtW2pQUKMswUx3hSgtH+Mv+P4juLo8AxzG28YMyK
fU/LKYYhxNfiJ1nRordNPQZChnQe101oAb8DyBcVyY2snK7kziqO4/W0y6SH1JLARXdCOBIxqodb
1tTHPXI/U1ituCo+TvYylQYrGbMUd3p65YjnywZ/UHG2var2HKpOU5D76/UUWUbDkqI1hh4xf5J0
VL4TfHSxR2/u4Tet8Cym9F6it51WsWso+wGlP5bh+RJkQk6r0Ar7bD/BD9MS6kW6oQBT7ws7oHgV
rm0gG9sPt4TRBdQG/OBmsadtXrfl6s3iwT0omCgQeGlRWQ3bsY8B+gHN5ks8DPxlCOp57G7AX2nx
rSoh4uFI88lEqjgXud2uTSLLosJMzreRp7aPwbD2pErqAns0p1GzEUJVz/09n3KyFexQEv7Uq3zu
zSF4x7oesSHe11J4fgbebegkaTfFsHSrWpcuGrlKo46KixabIv+8G9EZ7huROJ+dHrh9Yk3PQaJ5
nFEDQXvjr6u5IePMp5ayuS8mt/1sa6pC76JIYGODUx68X6BqUXAM2/ME5rHJxgsnNzJrZdfN3ldu
YrfBKbuWnqkt5V0l0cpZV2jc6c+Zn7My2sQc++w389RUqOjjJN9VaiwBuMQeqvMOzt4AX+MuCesf
xSntJvCj/JcSf9fy8z7kMU/rw8e8iwOuoFf3XW25bsIfNj2xgOysH72VxVwavtmjcZn0tgDuilF/
UIOI/djLEcnPlaXq8q2M/RnvPhPxvYXKGA1jbV4zXZeJ8ytDMxn429/k7X+Nn9fzafm9c+8jCM92
nW7FqLVlcdX6IYOrDLrjLHKqmTFqcBfES1JwL5uTOb0uHB4v/XFNhYCySizmpgb2/jTx+EjiSmmo
7UtF3pnr+WJIlBj/urfQwP2/qFMxj0RMd6W29XZ2/l5BxR8gnATKchOR3X6uJ03GEapOBZfBkwK4
deNQc5JZYRT32tfFPlM2Ko0pk1DDMmijHNWLnxS+VhUTL67qIBTjO81zcl+6WEwh8xPYaITCH6eu
re8p5d8pzY4wloYuFFQVQRe9JS39nlFI8LzQvmC52gjFqydBG4c4N1HnbHfEa8azsye2dVYr34C8
PDqXYh62zlMTZ5JU1mSWqxCpCyMr8MWcbtkrRPe//GSbshKdPuM9hT5ekxktS8EsCrZ7UeuxCZ91
m7PChPDwQt8JvW5ErQU0/fe0oP3r9rRav8HXZoj1BlRm8R6aqEG9T+Dit6yOukycxcLENXyauq8E
g7iuu5AYpf27yJx+OQ5RKnmYYBkCPHifdKwKkFfLC/mg693kdisN+t6xpauA++LUa00Y7wRYhdwu
4/XEo0zU5Yi12A7YFVSmSid5n1SysszXjg7KA+CgyxfTtMNUCQ5+5JRLfdRFKcM1QilBtX0MLV14
34TuHIP1LOLKTKY8/zj9o30fqIibvonQvEcs+oA7D4YASrrNVkwUkipIy9DwU7/YBa36VYYrCnaO
HStBrw2a3Qn+p4IdVYObPAnRkWN8sb6uMDb/TTyekEyZKeinqORPYjSLoZofRQU5YAYhuVMSfVip
1mQTCHAWGzsLyf6bgpDc8Rv9di1ts+5VqEIdhOByQN3R9/prJK7+94tVGWPCmfjLRtMDnaany+rb
dJF+29lHNAMLGe91GJuYDqgNQzrIqa1RTBjf6YyveAEU3Q5+fjubcBIFBii+Tduc5RxOytybbjrw
5NFvNLckCJjg3/XBW+Ao1ZqfcWJiqWK9M1F2OSNdoLfZ54Ib8c0VjN+LjFNoB60BVLNSAPU7UvAq
Z/Nemh6q6ZNq2nRRb5bJJI0xtL3xTSspWr1gmACIyCFXzKAvacWh5qhJ107vl3JwWdJQLsKFz3nL
HMLW5DPO/5iQlw2nMCOMlWLtMBo6vJWzA9MtClrhJryNHEMqL6BzRGuFMb0Vqd30KEckeg10IpBk
3ocX35NY8HoTvc2+TBgGYq7GTGJUrYOZUzBB1gfTgvJcL4mSRA7+BzOSBhPRdMyfESZ6eNkdLTbs
cUSF4A2o/1dhMspzp2BxY9SkAzwLKTIK1Z9wnegLK3hWt5WQErVcr4LrBqxqZo48r38oLGSDOwub
d+ijq3x3ZiulNvYCX3SV+w5iw7GSs/Aye4UPxdtqXr8yAmXHN4q66N2TjmeKi/AwdvF+tuMY4fjI
RMH27sxgL5ZqFQSUHYt6hWWET3PZLr1fZ42szGF3c74FEMnsV2Ofu78sMeewfCidtRs+7WWje1pe
vYsy9LDZESmq6//bfWRwxnUwjQAJ5bSYtMbsff+Y3X6M1CCddQBFWhmZ/B1ErILMwcOgPGRN/xwJ
fw5K0wsP5By8lKhBZS2+aAB4IogenvybQkCYAhRX+mVDe/mbAnRAf70FM2Pbr0wVLunoxzpfrp9P
jLsrjgq3QllUVDo1gnw0IJgWjNu+yMfSJ7KaX5+0OJqCPB40qVo4BT9Q/9gEg6D6Rq1G9Y8SV7K3
LBtjseinDkwDn1rKhxORbxGTAQoTJ/2W1inBYxkahAG74WL1whsm6AVxaMCgDzQjXb8Jd9dPW70a
n1yldYggPnYhqasaz1fhJFczsV2dpruoPaVhnyvJK1cT2y4mIxP8itRuxo7KJCabtMsRIoCzyW4T
brNxPBh9WT0DB7eA18+0g+X+IqPQCtqH3vsO8IVpNfNJBQm7fpkYQWrdtNKo2zWL1jst41G74pnE
unWfKd+66s+MHaSD4oidQSsg8ZcpoyaS4eUwVusIfpZdeQVFILxcNKfHSFXGNXVk37PQuC47Wfzm
mqO+hA+M3233jvx9tKSs2LV6f7V2zJ/mX6JeUAX8kFXm3SrAW1N37pmaXbXRWl2HSu/2xfz5WYan
JFJF/orzr66d8VoT2uiaMGEeXTXwwxlpufttCEGBPms3r12S4knqVOk0M0+zx5KWVmPXLkF7/SQS
Jz17cQHnnzwsCwmEezdxDfpfXvZi0gL7mtIMOTZCndc3pYvrPijSA/ZavsVL2GbZSI1M3JDHN7oA
DOEk+Luagwgwokva5GHGi1b5tLNjEdSMWO12gzjEuHm1HE0W5kYIB4dh2fEFnWXRCCjICKeQi48b
ZEKcc3hhUdLQX1oPT4V6Tc7jDgk2L+K6/14t/VUhdTn6gA3r9kiq2sR5+ChNq6fb13EuyyWrwGri
eiFhA7RS5a/Y/mIkr9HHddH16gyX7A/KEwEnr8xXtVyhB4av6A8RmjUenrR6y7vykio68josc8Tf
B8AOJ8PHXlYr+h9oweGQAvXuuhHLmY2cmymoR6kGaF5gBNlrQRSNbPZd4k0jTAbvaSu2z7zfg42Y
TGLq2tJhXkSU3sABs2M+gAbFq+v41w4AScYS0xE7D7VMzwc++NLVvcSBq+Mj473r0x0kixd7jIfZ
/LcQ48Xm/L30bCSKG+obJ2BMshZYjeGsvQdqssbc6DTTTGRLLv4k5sM1S5+41NLACeoAoZGIYaR3
cL2rqq8bpCPHMDDQ1IsNUaz5jvjvMSZY9yHS8WMbVoMPgFw+tXz56aTyfY6M0svfEu0V/yQ5B0Z5
JCTxl4KSkaFt4ainvO5ENr5OznFAHtI72s0I/hYJji3DuVnV+O99GXgfyVWYqlDEbJAwaCw+kSC1
zkbXb754dT+3B4akCOJTmldSt0vHXgWfjF0uv496SchDzcMYQJQ76k0NPHrACV+1EH3a1X8v4KnK
8F/cgVDWUhA5qGZg6roSxpuf+jt6/nejAeIHlrNrH4D4RiSvaMXF5WC/NEXFpfPaPOeMOJfEFa3Z
WVOS529KxcinH78OVEjmftrR4jyqrfoA5HNxkXk9v4cSWRmYtju2N8cWZDKfY67xUN4Vb8B+vreh
wcyhFYiwQfiA3TZ8PyvlOMTbUywgH0pnW0jBkMDlNJ1lnvavU9FA1qZoYWraw8N3Ni3AtOpMZgwk
fAjnfvQILzxQt1VX11gQSqnc0HmSCZ8Sq7ryhibdeecWB36rVttMkUwO/mxXDJiJYctZHaV6vqke
mGKTyqvP/55Yh16D83SR3xZ71KRfnRFfPCy6Mez1yBkMrB12wUmvadYZTJp/hLw9pwH64DfaPtt5
ny3iC31YBWUPIBQQ0jteBWtaXW94wou0rb8K0DZ61GSn906HBchpgV0QtY2nIurwz1ep3g+u3rtV
YYN5OaoEpX744hKcZosYExOTDacOWLqull5cfcInWJTz3PgMJKzf8IJu3mtlNmfpAh0o6EWj0gxL
5Vp7WTspKeyxCumsddReIC0Dg0m/T26+GcFs7E2vR7IWwcDTKK+tjbgBe3wnfv6BSjLkOdVsVD3S
WBxyDZ+v6i3x7VncJ8gN+GD1bHbbu9ktcDb+SBPBVYj/5hbvO8EZ1LOkGy5Pxb18myJ5XRaXV6Rf
cwguAn2tmnZTNqz9Opp4KCA3X+sqYCshEr+d+M/e6W4r1C3TZGZjCVT3A7B5e4q/XVYqRZykUnkg
GaPEPqxtwe3YrT8xvQbHiwtcS2Gj5AvhXMsSbLR9Fu/361Ve3QhxFciNNGQx0ViV7H5JZdo9RyhK
GJdI0IK8813U5WrEFgncusb8tefVqRSNRcnDtunCdD5zYegZ37ai6QfskB2SCoytGCZQd/e6yfa2
iuu/OKHpBo6jVhhNXG5qMR6CQn5tnWasaK62SqrUJMStXy1DCYzSsbT/Kxj0cTHWeV8pk5Zlapwx
U2a8eidbaQmnZ9IJAmRbxm475pmYXHJtJgFndJDNI9oUDmiQ+AOp19vxqbgJr8HHajLVTY+QifCv
zAoNZDGT9mbR8oxufTADm34XMgTeV8cBHqGAWcWPlien5uG6yik+Tgsxdh4+WRFnm76pfFi17rYK
4ZB1IHi8yxlr8mJ3NHHStsuRVCTJeZAtTOXUBkKR6BqIOD7h1nJ9Z3geREpbR9bKFECC66P6YsbO
oFYoDRZYqwcVNC8jDqCMLIfuqWcogylfO1c/IjKIXF76X6wWfVBjnkRYXR+5LVy/L0zPi+EAIQ38
odNK6Mlq6oBWl7MkNeFh6pNB5Ifuk3hrZ0EQaIidByCwvar9BdaVSeTGfF6NbSqnCvR5y1GyITwm
kzwIOI2S/UPZ7BIDggF6I0WbpqcUFkQ7nTxG7abHbhlzt5XpDJOLAWxmn1jdn804e1Eg1/+K3wtT
/30OV+W608yl6hg+VL/xKcBFBqmW4RE9mZGOGMWChgbIIgVzwYWqAhdAk4dmZuAeiHY0IgCmkCV1
96d0fR9gWTZ3D6wl0dBk7gkUrhe57fiyMss7Bsgeyt3Q2ZWA/fENawmhXesHQAKVbFSPQSW7Lyho
8RtWCihVgS3xqw9P0Unf0h4ZQhKGmFH5VDghQR6dVE+ft59yJt0aE9Se9yCiXxhbbdq3rIxJOBMr
lk3Et7w8UYU4OlYXheU8VdKcutbuBnQm4XpRslXwxfocBEwFCoyL3DRHoS27eFxijrRliW/D2RKX
EEJem1E85RJ6mOM1xVOB01DU8G1GIBluvHnxX7Hr1oGiszx1KZpvuHJCQ2gLWnFhK67coCRiDhuI
20MBh+MUDZjgRoSoej4E6aE+UgyckClmqhB+glkEkk8awYof4U7z4ixg2y3MmGrv9d+YIGCqS6LO
7TxzMZmZVROk4d5bj2DV9oEYe5cnruUB5YdwXT2gZp6MGTfrV9ad+q4LOxPwpukbtasz5N5GJB4H
WPgrrcUlyqBxVzBlZvoiXQ8ay2Krp3lMIjFTnClhJebhAyVmVf1s7bXIhe6mdObijAOF2412iBOd
tikzIfV5HLR194A00kSazssV8oTWW+9DuWUl03FqD/A+7VSNv/tW0pwECqp9xW6bj7rvYDE6QeF/
SSkuCRIQBFi0j/7LCwgW5JXMLBRBmCokFpTm6nF1rEZmRfi2KiPxcDf2kdr1YyqnOO64teP2xxjU
DKb9VCF0jJM8VBEU3fOfB65qL0sBGdcIIys/T4A3IX9/QhXZleqDdAL3IqZYqn+nu21DYO5Lb3Pv
x2xYUrmPfPGCKvuCdABNGRhlj3WHRSVX/U4ZiPWyhFUBC+ZRKHGgZ9odau+K+nR2VVeYEppjVpWM
32EGjHM4gmqSTM2DRbaTysirfoORpBG4rGwMa0znGhucObE1nJoqmoeHHbs2qj/s3w37KIQdOQri
wtq3fJagIG+vpmFUJ3fo47YKzXiL030+ExqtO6jxX7xzRHg3u8g7d58Jet57Fxmhb/vO7mn8L+0a
KhRSBJS1Ox9FYhIp20hRdS5UEvRTAErcyT+z4InM1oocvMzu9GJxkPfC06avvOMvCIiGSWzUio01
bUEcQn1JqGbtDefspgYarLB88w+SDWVPwSSrWOCS8QwVjh7rM5PwJspGIkeNQmJs3BBwVSPqfANr
CL7XWy0vAdFfhXjEP5VXRRzaiRF6fGXrmgSrVkse4YNOn7P5yp+yClWv56RTSq3xPOtnHGqVZFOx
OWEn09r9UVtxn6XI44lHeVd2wUsxo7cPzr6bug7xB1b+7uXs6EDJUrgMuE0EGTbN6sVLbFXu8/4i
kweXX0af8gxl1ZR3uZBjI7516RX/6j0X5Cpj7gJzPJC+tg0kIFrgRfHCd4sBhODibxJSB3kzHL8U
2gyUcGVZxV7zBLFawWOXP+bIX4xNVA7Wa7EBgjTSWcOU8WQ2YnQJUeNwqPooCgZPV6v48Ymym4OG
7W1YjnOq+EF0pG+j0Dgrmqou4ez2oMGSrjdNdWce7O9o4KuOOPAu0fDZWvnxtkbVZ9/zUrxCt/Pu
VTvBowGqUov1VK9qAe+ox7MoVkmL9q0MTVaKzWdOkrVqYAI/NH7DLtBPTAQ+DWTWW2Zn2xWOE7pA
qutOiJvKLy0GWiSIdsV+ssdDhnbNzFPUAJQumBio1Uvrp518WgiMOdFpY4tM6xpBF3QNB6FJIVl/
jovhRhYEbcpfi8ob14JFwfewoJ5xsGVTRREQc70pMuk+70LSMyFToDG6EPLgwrJwA6L+TcliQf6q
ZNdnWs1qMsE9HCO8yhGjfMXua3bzbNKlHoDFwTiVHuwGIOUcO6quoq/OqH9nLIvU2DAaUqEIl6E5
/uWnopvR3ISo1cEFX9h/50P82A4TmCxzRxFdXYQOsyzdSPNjOYI88mo90cEvm1lWS5vWID62C0Xa
iwR6wj1qr/DclRLuCssXYhH6nW2IP2GXsZgRACn6Gjtx48LVmIyrJGiTlJDoadisSZ/rRzF1nM4j
MKNWUKz/1/0YUP2W9ocJBMBBqxbPM+PlporCdTsfhVekFogIWFZgV3xqKr8xHUWKfQpUzWcZq0FE
LB4qHFKWywyrYfntNpJBwYhvP97P/+dc8nQVpPRtCeXaBNXzjou8qgSIPtW1ENLUCsV5KvVpmKNQ
nfeo6/wiz+FLKzW/vku0GTXnAZkVlBAEOdi4tnPjJh3jR0Q5D7xeXVh/pSDu12vCpngx0jP6luaf
CVLJ+2+jeDzaeswUQmUDFrrlHkVX7hAFKR6xzUH7oAfrNJS+vX9BJ7br4n5BbZsCd1LdBOEeWKnA
cuoG+81a7YCXbh2li5x2doIzZY62gLwdUe2MxEQuDGjyLB+uF6jikPY+v8fnEOPQ5Q0uxuvQf5q0
abW1VsFAKEQT8BoZ4+HWUKZPD77HU2n4KXmhoFEDQBJq9oBcRbghicDLQ9XCxbQmkP2Z9m2q+lzj
p3emYHgE8hd1i+ntErgSIAFpp0rcVtl243HiKoUt+dsgDat/AtUEIjG/IXnbtBa2Sth1966ZAA6/
6Y25fR2wh/zJpwT7P72H7nodHb3GGGR0VBh3Q/ZlM62GxmKfMmfthric4OleMrGuiIbgXMk5rdOP
ZCgYFaNDu+Vq8jjxUmXhlpwFKJU2GlH8Cs5HfZMo59GGaqEAgPcwcGLGbPDlovR2PJfBPTAT2zm7
J+StBXKNP+z03sSqpB7jV5SiG09yGujMr0AhMAy0HaHkbeeWorKgw3Sw+LoBPESMqglrYx6Q1Hsf
1hS1pL7fDGsj8SJKlzutwEUX68RU7SW6plNYdHpP5dBa7KdDXq4paJi72V5H6t10eiO0ibqhsKGL
ktNEjz+lHCJG00IwKbNMB/ZsCoWNcuwRDNeukRKHPhTFk13DHbZTtC07e9aUUMNzA4UeoSzep16n
erjdx/dkXkfAwH/MC8ujy3k5kDIT5BDIVhMI4fX4nKSwedNIbUxwThQwd5DdV9pBesIFxxr91jJU
YuRULDIFS3fi+g2sphQIScj6hgJz9NGml1judJ6LthNRJf2zYxeTmZB6zwatJbaXdDDpWUK4GEIO
mgbnQ6JxWk4BcalATb3KT4Mbqv+Ns1zQlx7x+yRCSsy69tbMB8mOCTl4blWqCjPwSNl3v9rEw3qw
k9TCrQpS8cIfC/SeuizX1Wee13dAKSDROkn4kliSXJzJFMezv3NfSiuy84JIYf1A7YZSVeIdjsuv
eZYFo/SLdenwG+mUQyVxWwMZeMQI9ZeBGRHEgNQWY8K1MEGrqmdiQ51B/razX7wlEib7PnN4f5U6
3aEOTUZ8gOny1nqmTeAmg6z8u5xPRCunSV8Pe6bTqPmtIhq3tzOLVRcfTwhJg1MF4xPe3S0a7buk
+bFF5qpbojZwo+82ydetlM9A6UBOh0aLxDMMq6Rv2thurJp9NLh2/OP4aSUhT83JoZZVH1OlVKQR
iXpV9WDdpvlHNAg5CAVwpIDfI9XzxvZfMeHtxT/QAGs5y7KIE+506V1EfQbEq/K3Uim8a3jS4aMM
pqqgBf6nGAWPDjB3Et2dPgGOwAwN/QhTndZvwqpZRWZ7vOisiB4DYig88TlBQTDsd+Tfyv3sdllS
VPIIpcDVoM34f59Y3TG8YSukUCYkc/07jC0EVjDrKFEHMCoquqwS+Ig8mOlgAt006epiYUFtF0Wf
zrdciF+GHt5dEYpqcAFO/Q87ks4RsueiCbKQ+tnYJg59UhTX87n8LmU4at6DNbU4nHNNH2F4l61A
Pn3yg8vB8gvRBqweWlXiOdzHleWfDWw//7l7fmPFxU2X8lTkyFuGaUlmEH87na1qSPjeyEoWM3U6
QJUCpFfXuNLBu9pYWPJZXdavksTUbwDWo6IWQJ6a+Xh5OMASUgImT2Mic0fU1oMx4cBncHDGkLGT
3XQMQeYmn00ePJTon3NWGgVYO2gdpNWADykzl1vSnbJLO6Dd6E0G70hHLiesNOdM+asEfpYkGC/s
Sjq025GucgzNItMjDbb2Urtxo8QU3ZK8n7eMTneXHQrlfVZOf3Y0X9I2atBLqzerqkkYw0MlwZ/n
RaEGuYdFwqOk36mBYkBkLW6jlsh+r7etWDvio9j1pc3IQHqPKedBq942hI4pNwflcQmGL/hYUAgY
8FIn4qYv8rYTzTWbEWWlUcSnWjWjimSMP07U64u+NzCKZAkTfUXeDUi9aGzn71oX5Kt9hdPzVzwy
i2ix8R4xnPLbTzfwN1OtBNzSNHDBVAXW4KEJnXWrYRi+fzCqrF+LEySKRaxJqZAnesuzUTzXcKso
fZm1BuSPxQ0bxKJ/R4TSzZKKMrAxEfW93I4KpkvgfdmFbot2lpAu8Jv3LQfauVX3Ne5uElfeFm+u
NV4PpDx31fhMaTv64RzLxNPtOGFuNWpNy+nJAQO1/LLlMaHfzJkZ+YjpfBqcUlZOVagWYA+3e3el
V4de4OmvF0oy/6c9VKiCc9/kVFUihmgkZ82XJ3tYNVuChyk595l4BlJ/pUAM43ofUVAxDCdjySYl
doRyxmQsKem5sAmxJg9CC6xN3LoBs+OwGpzlE+sf4p/AjsINw4lGoNr/opJbJfcVjBYeDOxXV8Zc
tx46Z48qf4tR4Dt08D5p4SsVpaM62wL4gU/I0qM/+xMz8J+4bkkHrHirn8+2FGADgB4RAlvviy0p
pInjUhdCChGgM1wCWAAALKrqQS7+j4EKYuR1lW23ipo792pihr+Xo59hDn/bDUznwIjQyA+g8lxx
tbqw3HJF91KCT1rhPaobAcd2m7XsbwwikT2ceW8E7WFKPWSwptGfTpeUlqjvoFd/1veiAeUs0KkM
nUQBIx9EcpGFt1GB+jr6pZeGZbuqISHchZlacicK44s8qhwThueVq4WuH5JI/ZuRhakik8wQ9EtS
rExrtQfsSRXSMPqs8tHerQOAD1UOofHdwIOW2YwRT25MmyW3kJeNDuXOE8YJno2o5j9/vDoTOvRC
qCRC9dJ9j4iEqY/lj8ck2YwPyD3jCHj0MtrbND/YVLqSs9Dy87CC7B+e0zioLoF74o5pJf4ELayq
VrlLCQSXNItYtZzBxbAnpuR2iQIKDdWk0thow5pKklgdPHkG2jcaNlI7A1+qqXjNKGvk4Vf5xsoZ
yU66HYdFicM3XPRWu/GjEksbq/BXdFUHunWoP7lWLry5jBTa56NpnRVx0NtySUFYvoKFE1M1VaO6
pImuBQUaP0gWzflqOOQDtsb9MNq6x2K/UshfZ7qMbXwhf0RIw6RHDu5E2sbxl6TwDShp+rgexm4A
LOflWdTWDg0S9TKGhKx8+yOnkfSoJyuddhDtsNbs2H9c8Yynjuj5UMcG1IK1FL9/eX5xaM9bPdnU
EGitMJhgjcQMcqOxFmVtomRGdICBxZm3z9orHrXRJym5pDowgXsiShXIRhuunaQiifqOB6KtZlHj
SVA8fOmL8isUatpqqnHr74OuCXB6iCvDXDRC60Qh/fYQjJpYcObUi9HxA0iGJm8E+6X9pLN5USTM
gUIBuZ237LEfJWL1r6w4ZEK56UsQq8HCXvZDhuHsyA+6E3yqj4n7dRL54LPNqFXPfjtPtJB/hyo2
YOyXBeBm8LAgRyE74+D4hknLcf3zav4O+7xsETgotYX/GVEPvMezziqcuMMArV8OkcBnc8u+b4iv
eDJk+RseISf83sf4nVswOnnUwUE6B31C5R0zzYjaIQT2PqPkqR9AfiUqGz8pUHShubTlvVQXzqHr
DM8zuH+qWgdSWlmvEDUyeJXPgr0pOCEuiSsNFrXEio00RppxZuNScyjHW2iDZC2cq8SrAUSGwKYB
Ny2IbKvjGqW83oLblN0qyBoxNbX4a7/2VTicXpOqH4bLCrwwGzJVNtxmCH1nGw3MInL6+vBCswp1
LsU+UZYSAcLXLGE7dF4bp6MiCuQi7BMCklmYltZu2tKajYJOzOzbVI0ba8TxEwiOuViOOW99N3hJ
YjcosmJnq0nqQwL3rZoE0sr0fVGWd9/OimYzUJjwNdzBUEMrQst4HUzkV1lRrMYDcm9vyky4MS5N
i3nOahhnYvj+33RSNFVClQ8TkSt9oWLcCrhI2wpiCuG/Gu0zCebwTFMzMd6LgIe4gh3/ojeeaJ3t
GtW0TcIHoOIASYSY89vQNn3UcalPe3QpKJcy5PXrh/6UIwFz0jR8m3H3wYPK/G74ygK9hqAII71j
khxQh2IYgYbs098u98+XnYSHA0BUjb5Fs2qScCI38mqAtQpdsDanit3r/CijKKE6ACGC3kYBoUCe
JQk2OlJe7xZtOeT3jh2Y/xTRLM0X0Efwo+1i3vRjD6hFh8kzEPGQ2bWxuWKlYyQp7vqJVBkSldPs
SIO4W2FKLiNO1RSTfDHDI66pZyNTvI7EfAeX8+3/i9OvFCOsAnfcOrZH5TRjerAQyMUqtD4M7RcC
ZLRw7FlYPhZK/dJlGFcncAwQDypxzMvr2e5z8hBAqf0M70zfb4n2G7+Kd1UWAFaobqU3edaTIgAA
QtdxX9xQnxZ2m9SxyKcrMPJQ3EQ2x1yP9MHoEt8nBWRfCW6WPYHF+TWLV7hTfTxcFD172tnNJYKz
JvUUi6twLfSlZUp+4WP4zw2B1TmwdExMvy8ze4NW71pSE6+uU9HvvA6gN7LmgQ5hOya8//3PI3uw
IBXm/TVRIQ7XfAKe/NcqyXHBtp6ERdkz2pKP+QQ8sRFofrieS70xLPRu710Kc2x1QjpTdeAo5Y3X
3C/aDdqW2okuC8tkWermxw7O3tV7df1G1pCAFnKD0sM42zJ8duG4zk8qxHzGG34jhj7mq996205y
drmLd7+SodcR1te6nTNkguHqdtMibZ8r3wZ6xWRV2WuAJ7rMep21DZHiVLJsODF+xzZsUJKeNOEL
F3h5adFhSDusEoAn5KvBvmSLKREI2yPkaSDwGlRFcte5zmcVQZDDPTBmT1uUw84ICG+RinpSndG3
Pz/98Js5CxH3Y3iObhyyXbgvGO+/DPeidkME3QJP92XSwD/3opStSxxcK2Ls8BvONHNJZgLTG9Py
ZjTtznak7jh03waEUcIBsYfxrs5wj18qnoLO60JVw8GgSRGipbH8eLepMK29P2jXqtH9hw4hfgvc
qL7eZ767sLko3IEiZ4y6j5FxfhDfnQ2qEc9xvGw1r7/zlbXVKpaxHPgxgKsMZq1/OIOYIXRE3W+m
bhcKkDi38EUMemhtFqrgTpor076ETOGDMTcjdQMEHjxXhlvquNKJ6BlCb3ZZF0tz1i8yZtiZbi6V
0BIt12xq3DHpFGC75rsYM7vFNrU38iEaIrpjoSKzRQvHYa2+WdrcSFSv5b9uKYaW/Z5jikPqv1rB
BikMxjs8ZgJYvN2TB4Qxx0emTire9kh0v7Pq6quytGGbCFCZOowA69Th+mgjSW7JLoN71vxhk3M0
x2a76GKLaBdDDs9GaqugqhQFHlFuey22rViQNGt6MbfjASL1hMEHW/a3bnndd769ryTW+ekzPlOX
1K7bkmOjf/gvxl1zjJMPwBJBTxvARW1LfLqn8u0Q9MxOSSVhUHUoXARaHZsK0ueAQswLazjYaYFW
8Hyr2V0+tN9oggXvvyZMNv/e+SUry+Hg1uT22zcmPRnNxvpSPZI/VYiQ7hXuMVsw2ZqdLJTyns79
/ChHA01xJsadRN8PKyg6rg2l+HUXv6kH5PTGauhY8q/XNQQ3T/5ynI5nq1G1z0mDbBQdBqWEhDSD
YjgW8cVdctj63p8zBrSjcBZTIETJyeIKDkR9ZS86ys4e+m+k4R+iMTHaaLI7Ho9YZ1/pUaEYJyrM
oFJuXL60Zw3G492CWZ+qfkHo7KF1jxa+5YXYk3S2iDctuv6HNuSX8iCz4jV71yCJSY1Fxwb6tsif
O+0c0MXLDxFdIIOxRc3xwVCdjpA2srV4UffSE+VJicZYc3YBhb9B7W3nM9yMuYzpMrA6C7C1OWVg
W34a4T7VQ+FP2BTGO20vj74BV78ZBzxAWW22KRlsUrvNo+vwhJTN7pkG6CdcJoZupVEFOLw5oiWw
rut/0doJoaCsCqnbCJCbpj8NC1XXxlIbvAk7e/DynEvu0P1plhIiAUSNCSFnotLFPbUF3Kn2Pp84
B2mw8xYT9/GIPD5CUodhIuWtyRjpsI5CkJJoa1i1bNA2Gh5CyMB5tTurm3ZHU6gCk33tMpim+Vjv
E0Gan2fBWqWBUgsY65HgxMDUfLxXbS4OgDybQHgBDowlxYbIZQuDtHIIPwSFGSnMgt0BQdA1JH5l
MXIQo7pWYndi0KqFIG0Yg1ngQcY4s7AwcYFseqbe7varvgnie4Y3hmIIHJbu+0PAN0y9c3x02LrI
j/UxkzaQRCU85rBxC/gIoKAZ/n8JgdIUgU7hkFipnWKl7nZM4/9RayTXI2c90bAqfregaP2kHlDw
oUeXGs9/980rBcdKdjfiPH7OO+I8t89aKB4SFfEmHpv/K1y/9hymdnWYEw8Y7yrMTqUnc2m0CaLe
9je/u51nio1BTi93DgmBaFxn/RkfTYV8bJsyw7NUGRwHI9rmaAa+1lWKsDUXrZjzZOvPNrRgU8DH
pLIovtCEHWNlWoWzM7CiaZIhlJvP/frNGr8UFOxhNTVAj8Ef+1dZO11geJM9BYsG3G2wwvwT0qJ0
SqlUdRSE5SIpnaOAwRJcJnLnn/txOp7kZhv6ZOTEF99O+5meNyR9lqd9UD9dGQVEi1otVGs83RSe
qk85AY0pTtMzXQlHn+szXQZisLjy6FW/OIE/Ml4uPFojZTgVLJcfLcU72hrzwpGFrkEDVNB4zQJ1
MQ4YvCFlj5TX4zmJD69+yH1vzzgBU5dBiHQQzCcGvM6DHcPoMjjGGTQwANjKhYpy1O3b6DpYeFnX
a7mLyJAKb8mFuOSMO0Wf1Dvt70XWw88Grx2bT+fUN5KtQett+17ra4jRiXBuSzD+5uqNbkZxcztG
6e/PxfC18SrxTOAnxSPOICaPOGpikPzr8Hekz2Yd3PXtxcIPCeaZC1MWQYfUYGCwypeZ0GghGcTF
j9aEmreswa1lWx/ncxAYhVJhryJHSFGASD26CFSs93I44RLQf4yagn9YS+kTh3RQBk7NwstQozeW
P3yyITny3hP9gaNtbC1wkcr9X2s96aJFKfg+faCUULXO0/RgncS4xKCMY3L3WADLCI4IABP9FycI
bhw89ECmbVHlYFlO/XBe83f5i3ai4QQc6s0ux8XdUROgrnKU06do62dt6fHkzm21mD6g8OS6emNq
zD865j/ETYlQ6reQ0DuCpqo8rV9+qxMNQvPQQxyseW+kb0VQhKQOJx20oVOxq1V9ZNVgXV1uvDft
FyqwqnYcI72C+uMDepyEiDC34NuD6+JX6ObdxjGdIza2TDpehv06LVmxtk9d1uLKPJJx06FZYW7g
J4AGl07OCcPpKANY+3RcUeCfodBOpDvxVgKHQDfU6BA3FxYYd8NNfysvrba3OzGNQ1ABM/bw8TMR
UJ8JBfRNISox62EHRwOsXr4K54FJGXTHv7RtfrOPCSfN0kNmvaM3tQxwryQS8luaBJzgNA45D61+
vsayUw+HNFxWnO9lbcemCQyM+T4T0yg3bgL0Gpn+5kKKGW3AsK13L7g3CZMSIFXFRSriYowXWzeh
MQIuOeWNbKaoZbo/nyM9EX2EmYOCa9qbQ7RAh3o/FDIFCdUmONFxPOtgATcI2ZgBbBZ9xwNV9iUd
+IVDtcdgXTNdgkIqAM3ZnHBcw+vKGaAn3SJdgwz5liPbv/srhucShAysPXtrrf5wBwdOx5lvTE3w
o1tUN04sPzYdxNxMivETchMV8g7ePLKL2BI2o2LVKuF/y9UFOsW9YbKY5xw7xOD+Z2bulqvcU2eh
ASRviO8Jbpkng5mE9NpuXCwRvoFADhjGjCBPg2/xvA6mZso8IzG7I/YAGvQ1q5digsiUrGlCjWdy
n7CMcAwKgo5ptBdHurnrM5J9gES/ku958UP0wjSZaqNtAk/xTrkCQ/AsiX72KOBR3imwNksNHJXy
bCyFovkYzX18RmnoU985qiLoFEg1BpdkuS2nwbd1yBRxeWEGUJrTud5dCx7Orb9jr4yQ1uSmGkjy
9vLEX3C003WKJWXZJu5/2u4eZllJA2+Stw/qACuXr6cVPI2rO82Yp1oWPmCFjXvZhJn00jvXN3ff
yZz0Zn3GCRofrA5BbqCjZ/4aM9Pw4pJsGc7K0E0Jnpkxoxe80Vfgm/aGqGiqVy+Q2JdCQpxZ/UgX
ayZWnivB37CNCJGquBWGebnjtMQkitqoPrFjAypUvFl4ExmwPijhiLWizeHK4makderEVq0bcvZd
mXblA+ht2m+DvqSQG9WYtaaQeNRSr75cuBMLL0Cv6ANFYuwZVDaz0g8DK3jtrtmRA/yUIFONpuw1
ZIXWkW3TrlyiyXCNyQa+Ik5uKp+5+/9mxLyZERMX9bZXltWQlKvCmS3JLVFqZo+l5q2Oo6FWrZ9G
WE2WOWWaHtYzIhoRiGup1YIwedc0htPjf+h7hXqjBJ0wPu6ZcjQgeQJoGCmC67gdpHX+ik/1mUH5
xAU3XaT5Q2cpOH5TfoZ6m34GVNI992KBp2Mn1fQLFbmU2kGJMoe+LZWp8N4sCX5+lAZrL1C3OYWq
PmNC7OE0/XOUFdEL6I+RhbghaMqG50tvDhvxjapktiM9VK0zc674VLPEeqdXxuQKINEIgY3O1C3S
lwR32uECMg8YuQHUQbHgU/oLmIuyW3ydsa3b62T1K5Vqse2iXOHoC0qm5feDNV7usX99zHx7l4ef
hZ8dJ73M8Hi6s6VkW0G4tBLrUtBXd7L92YncCblHK48vmwToQnQ70Ca919eH9cOZoDU3g020DoH5
nrBBosjlG4SkcvFkFWy4+/tpB/yT2N+YMRALzRp1ln472PpbIciFyMOV/N/aN6ICvaqy1lfdZqfK
CQpDLynK18vmDWEGtvbKKsM43NDmjpTPbFa8fXN2nHVosSzKQTByfanoiFTQ/dUinXhDOOSUSDJx
ANHCFhgVkNyDSgtEJFKZbVS4fk1K4FvCD7fFgHTasr1XkXfEHlRzsQg2KMhYL+5FvgIBkoTcTGDP
IXUn2ZlE7X6+/o9GJzPPPQWYxlj+hNaqKlkPzNm5ZXpsNAMak8BFv2LSD2PV2KJ3gC0+wdWt0HGA
z2iDJRG8asmqa1V3lGeYSzA35Euf2yRw3LcV6trOV1V6AKIr8rcFrJf0IeIE/l6zE074gBS+I5Ri
ri3hVTa3CJp80Ipx+qrYNcNndkivM4Ab7BAdSVq4SuJKg8/d156AXwn1j3N9pjFxKaApAutqPVyc
VeFvW6O+hG7I1Ph4n62xiOp9GEZGogYC7ttLUoGhxhONjVMulEl9mkGIMuy/obWfBL9ARog+UG5R
Z2ynKBZyWQUXLwW/slP1lvCN9XXsp2ELtMxk7MSoR4rdfzpTf3vRkDI4iohuVIWYULR1RWlR/WNX
jmOOKP0zRh8e9zVs2DPJTbLdK8CXeJl2BBHr2WeQoYVbEOHjb0DgJY/BjV7CjZJRG0+xB877aysR
Uj3bKHI98+o8XFzgixXegHHzSPWzhLRBS0kw1QGIUWhMCCQwOYcmAAujz+UAxUebsPLOmbyV/JVm
2kL4BOA6kDg3YMeETm/XQoY6skxu0mYrM55y3V/EFEpij8gtl2i5KlVRcPrz7YIDd5KmkGZDKoEJ
ZVFlQUFbX5rFCgq66wvFZ4FbW8CCgqaEgT64MT1W5jh4kuUdLFZnLRnknuwjjankWbiGUMyvLZR9
OPyTMYxDca3095DbHyGnqK7YPXuVasibIBS0uTYE2X1y10IdB0oJrofAyRosM7+kPGZSlhfwWNgN
092CiBEIBNcGaGQiZ0il0MykNoQPKnEHBRYa1+V7jM+rVouabyM6ermyw71RmBCe8b7gASwKWXUX
CQx2rhocl9a6rhfplKS3QLXq3g8NM418UP2RtEMySnSmVY9KvqrPMBIAaUT8pC3+kcooJjkp/WMh
H7oGJmT4Kc7g35DIiCs41ewtJqsqT/gID81FFvwClqffH3aBs7OvOURnu9KyM8Udi8u9LB1HKhDS
If55UjbZjSiwGDrvw9W5ZZRS4mPwXFKTtJB/rizoE5yPxPc3JEbYa+VT+zc0nrNq3PhBvS2STV4z
RX/YcyZfDEpiwfXk0qCK0p06XY+jd/GM8+6f2W1fN0NZZbB8ATsdIfeNo+3TGG87sT0B93mMMQml
9ZSwtaAWFnff6Uy65FJwsNc5pHf06B8DLl/l4+XvBdFO6iwQMicw8FhcQbo9XzXj625NsFTo2aNq
frnAdqEcCBHr5TaioOjXmdR0h6YLXV+qOT5gD1E3fTMNFpgpBhpG1nL1DmcbZsJlOgK6zxxcpTOx
fdv9JTDwo4gAG7YrRPhM9lgNhbQb5SBQbocHMdV7t9MFTRuNV6izFXOGWBKK4w6bQcFZHpKlGxky
LcXCsoysFTLoJEBQopbdtAxYWKdflntua58X8y50l60Fcv4P3M8wDbA74flwoLvNyq50aGEsPKas
jM5tAAJE4Vm/1onQvyKx2BkzNTDbLPb/0DKNbnH976L46R/pv0hJ17K/OCKLhmneEgbPSaSONyIi
TNQ3RSn50/uQ1BUBj7H1U1BcQagxtY9chatozvTiUglgqlJwzQN1jBUP2sHv3E/Gn6vMYuXExXBt
8PH0xrRlMEWG4fplh0UMem665xjrlicQIy48EjY40VUfIGNaW7ndPTiB1GpPlEAnh3pEnXDDx5oT
jCXAYKvwqhCx6HLiLsM7mGfzKMmCiVY9Sf/Sm1/z+lz+9D/NJoRiNQW1VZv8QxzamTHUh+AuedIa
Q5A2gKrRVkqGPo5JUnExSaTxhdKxSdGJP7gRxZIO5xvdrM5twURdgqV6YejG9pBrM/w3RZEDabpD
str/srwGpAlrRj5K+DLvrj8ozAO28MXQDqAD2xAzI00M2aGPE2Q04biHpW+9HNtEJD9I7+GrncJJ
uixAYcjEwmOzi6ALf4Yd+GnaLLhkFzs+H+qFxSyJp1FnBcnODUvSbTT7KbTOTbrE2EFhThBrOu1F
d5TsFGnRjgdE1fPs7rdQC1lSsW9j+GON+Y9s6+KH6sRgGgy34Q/OUNWTaKb0R+mOBS/XTRyE6g5V
q6Kg/T47Q1BOiga64FhHhN3feKzjyiKQ8B6Y7M8G2vW21stErdxCLGkVgiQLITTsWHlGUGCbhvpy
CqJfI0wz+kgALtNaUbrY92zAvWUK0R5lTX8r1/oBeXDfs6agAAP+Qnl4FHxZmXrXc5uk0668Q8Sq
8WbitcwLEvfWrDeBvJOOwxAKpo8wGFe3+SqyKBS3Q9E39boF7wG2zW7eAaZHbe1Imvh/FOq6sEo+
FmDh9wA57uXMLGHmkltvDAMi+K6y6uZu8tpKZCa50ddDm0/jYx9G2JSqJm1T63GfnQmRXPi6H3Xc
9QQOJtw8J83k9paoFuyOVXjvGoxfl1luwF68gqfV3lktAQw54nE+MyQNJZCz1HWw6uJfnqblaGak
2kODt0VLTZxrrPDYuedWPb6e3prV40+0w6emPF9FC3UnQoldf+B2n5DJx2N7XJZ0eI4O4toEy99Y
jC24XY9f2rr5acpttVoydrcQJMV5T4j5cHBgrnmHyvfGLz9JcnvUJb5SpSYUFXMq6EdlZnfLhRmc
6xcYn6qbn7t22IvDlImtGzph2JyoVc/8cZ8y7VGGctOQjzFfoQoeL61ov6ocDo+Zof5HeuAO18yd
BMAnRnOu5WzM4safuQjVs7s61DX58aeI6uQRS2xV9Lg5/Id4OVHJwuNEIQjEWrVRtNCJl0tXk1zO
M5ZtijSn7qlz6vsjcWgiioXDgY9yurHaaprN6X12e7ozMBmGw6Eo80sxS69xapooP5zpmGpq5kqM
Ed40Ar4OOt18/VrJThCykDAlZw9cyAncW4CIIr+ucL7jk+39jgmhSxHXj4k2MNGamNo0ShcY1Tf3
W/wVUkim9H23KPw0WqnfpJ/2QmxcujUV3F9jpBkVGQCTFhNUapKVrY7+q33S4ST5BpGOfRwoIOG/
iN2bdXh60zL+XMH8ptxadvzX+G8sGdhfEP7Ja2NEi8B0YXS7p1WeJDSqe8uReduDZ41DJje93uTc
aTy0X0Y9g/MDerPqc+KByU2AnI/w8NXOPRjCRIX2kk0NT8dS74eOkJqeTa6QMXCWJlW+e+eG+w7H
OxnGqqfdpCc/z+T0LuIz1PGefRLqjxexaKeVpaK6HFEobei+tvXjQLoVnwVxVZd0jAGXhLWjuenB
DZtfpXYXqBQFLiSR4B7XSv6IC546P+qoAZqCtZXroVqldKnoxTPEQ9IYcCgqhVV7gO9eST98sEz0
LQMYfkrm3wLDtrhQhK9PW84br6vpeSLotofKvkKcRfCwZHRYDARDz4PlJqgQdUDlAuYadan6hZYS
Tgdim4DyE8nRcA1J3DWTamu4L0D8H4mjNBSOQRaMPuk6ZJX7ua5XhRlNdIBA3PiKBxSRtw/8YdI0
GaNcssz6PrxuIXqQ94p0focv2fa0jNgx2Ki53u7IZo7pffxx2BT241OotYbXSBHCa18f9yWdMteF
SKHKq2DNCjdg8piGojfPP87LQHSCKdD2yEiuFi0iYt8xUrMfTZYLcO+uCIQXFHGlLmUv1zjGTweg
94s12JRBZ/8f4INpUgz2Q2eDlW6g+PEzair1wJheBRTWSoc/o60XASEjo40bUWd8T8Rj1ZqjOf3P
pFQCTRNojRwHbMIXcF37Pwmt43qnuhQGWveXdfLY+uLifO6tT7crJH1Q05G5HnolAcq+FJ37sRJq
NkD57AsilCLlGZ2YFmR6tYmpnZlol2H4RBJbGIfHzdQSUnVjKbLSv07c5XKGLs5d3OTcaMSwxaUV
r6ChWovIu6vVXta+CDcb1KyYQuccV2/LlWbVuW59Cj2aVFhgtRWherc++9cQkOnK+fQHgRSioXmC
zxUOX2BAFw0tgzYmy1Ths+uRyiQmE7YoSCr/90lCg/zjHJ8Rq7qKjmBE/ySPwNjnXpIRFPfaoY+v
Et871eAcJiceJOQtAQnrHKjHDIeLfMpl8kXMQb6RjvPv1owYntrlUugrYyP6H05wPOoQ0gPwsx3V
AG3UiXxiRJe+oIee74/BTGjhbFTnfAXRgOpJjzkYK+j9HjSa+WKC9GLW0dO43datdM+qI3lZ/7uS
KU0GqJSU74L0WznBQ3oAbvcHsLpc08l780UZwt8ex6mNbOI9zwhjDedrKZWKFP3LitVCdnOOI0Va
dEbN9Sly3+LtqOYDYqVs4DuYf7/6FB5pvG5gIrvUzsK8vKKWwiTog3zWCFdGjSDv/R2segnrvNWm
v7Wr1maoRhX5BahwY6eFUBRbijMZkvOXyecegxl0ZG1MSIrdqCCGEzqa5UotZlMO7UkFgFBqcLV2
VfsE0epqA4yVpggMggLwaCPETjRlMtG8uhR1K6DRy1waveFHDP8nUgm+/3HShmxAsOtsnBwk2T0g
N20rc/Qd8YDOgJK61QxKVoZy9qZQQXz49ljQDqS1lkL3AYtQziN2z10RiCklvWok0AxqqvdFFwkB
FIA7BAvcgb9mGqaVdK2iVUndy1n0zPpx7S9LkQ3kLVks0wE39EQmet11yyRtXXWiPOafDzb+v4Z4
KIHevFjhyI9yOwvpE3J6utLAOJKb77B38vHrIdN+H8Jf4hyMBriQo4sV1XsV9O/wqRueAMg6U6yV
fVW2RvoV2Cgiy5nW3SI/AIz+zC8To6Qeo/dbQSJxMsW1pRqKYJLOzbtsnLmIJqiPO9f7aemhdCe+
2vFdM5k+CUPx9qS6ayv9/rmk5zlBCjIxync90Frum9Zf/ra/OTEwxdxrUIguXtlUBL+KQYWwNvgc
gBRR2Bc6/Xw54u2ejAKfeRDy9lW/R9RjIeUJCfn9eRnLl3reMfbWnLnx7g/DJicOkfL8Ceo+k1cj
qX2zWjCFQ9ZAXgYFOjcABUPWGMEQbvkIbQB0o6dLPMU1gsyPAzIbowDgOdk8bEIrviVdEh1u5IXq
6Y4aToTpoVS3y1Z1YbwMJsf0jAvg6wi1aNYjiussVw39yCcrTmlUeDaN12Sih9xkqyYgaLzBx9mI
/RkksBUDclWsIA3v1HZMfC8hxaqo1FCvFHYRpdqFmibXJet/MK430Bfhj8lpq0YjjhLL/rKKsAza
cnoxpeVd0SLFJQgi0E0/qTkrCP0SUsrXLNL4Q+zI+cXJEibyFMD0HPdYefNppshWu9BLMVAcYSek
PWYQ5eMwSgJEllzEnkU75KTGMtXUBc0qP8AYwD9B/CL7UpIpvN0/m8X8Zb+Nr7xj38bXz0YQ4PXh
QtplKowqN9SN0zF+zDqeqjsZ23s6Vl5DRlaRD7c1a/CLwKv6g5WLYr8O6+1cwCcSLo3z8Udwexfp
hR5p0RizGh91h9wB4cuk14/B6HynawsfEsQFV3H4Ds039bBshWsdwoO9O9P32SZrbAFNvK51s9FG
dH++uO2vtSUzXSzfs4IXq+JDSu54DBMIbtYM22TGIJxfAT4zL7zUANjQxoS/nfqXTg8sgDZFHIOD
PwX3djT1vqFXtiyJBQNluo7WFwt6QFdKKx3swUwEaTO5Fy2KAmEbM9kW5fcTIH+Zuq5BD2OpVtgZ
hZXx4xVoM58d49ZOqg9ql0CBUzbsyDZVgYY+zIwRrcKqBrC6WfnF1AJath/0GXC/RHVGQyKHb9Gd
nSrtv6nRPv9ud/PUottbXoBiUOPSxiBT4pOvsXO/QXDH3qo4Pwp43xDyzh+69VQhBjurkv/+DTpe
Upz1UzZbAdP+tLAZaBncOqsTuaFX7zeezNcqMSdiFCEMiO9F/q3ZaDlZkxHEKdEdvlBUfcWnKZmV
d2Jh5b2AShT559O3iD034rZR4K+NEs4WDZwznudWvUM2clD/Squt44CTqCFaPDSDmsb1+3qa4AIh
t6vkvLiN5gzZn4DhD4fGfHZ9xQTyiN4Rlu+t+GMQOcjv+3y8sxEZlnPhBxXuyHMZE2GmbDT0Sz3k
5NJhxU4aLwhciFdOBziyLxgPqW12j3sQKqGhchN3vggjTuEZRdzoZKPSMhvOhNHiZJd0TuT9/X34
sDB91DJOE4Ts/lCVAVDeGjrdeIfIIJpwm8DletUgydBM7BVIUr1pVCmdJePaRce+N1hKEqmOO+64
th5fwcMAuhby+fJOb2HNjxFncBa7HY7Cf7gxxvzhj5n2q2dzxnOFPKD7QFKqFEoBcKQZTVbloNtg
v3GBvkyTz6269i/aXRfQ069o7Zt9BIg2doAk2zTWKuhJ0zZrbFBA74ssFB/yb82xTp1U1LjVGPTa
bBK7XL6dbMLCS1HROk6MheQ0hMHlDGArNrLMG51TsPX22yrI+r5MUQwmN8cmtf+fN57g7gLb7PTN
e996zHxLSXan8pVdYXEnnIt+qMdPG3QaWvSAYn6UgzQXdYH10c3qDgOdGgQ0oRz3D+aSfzEcFx8i
+ZqgY5OKYm/iTMx/ohQWfQDEEXs0hYxaSqb2ixA/DviAnAHL39JA5t1LQ71FeqOvggl5sbETXV/R
IsnP1qRzIci7eEF3xZRexcmiUgYf0CG2SL6BUpI80kSu/+p7haEjn5fjR01UEtPlR+srbk1qlVft
6wZYIbUVQ0kYC/IvPy+E41sHXnV10RHWwQ9YXDwSKoxtaOFXN11vUhSYcezjl0JuAKGxFu+lTjYU
vMAO9p1Hkau+icvE1EZEN5svt8p2xp6oOW9mqzP52lgZ+lXfGblpJC9PGoCK3RHVVyQ8APNzS6eZ
Ymipniw2SH2IjBdOHSHvyqFYhTNV5oq7ELqCUwUWbYRvOL9LdPJ5msVIyIaPBYLHxEEhHoNv5A6w
Aq9glnYUm7j+tx2kQRmOicW4PSaI+4Mc2eZvI870nAcykldoteAGSt6WMromvD96yTz38DJCjl65
ro4Y7IJR7CwF2+FrPKrcTo6ElWVaTzZjS+IiP3dIu4zD4g3ecYs7NlcdPGcMO7jESlb2TSJ6hOKz
Ch34ejrTxE409BXOTd8/pgW9bbCV3quZweQ6hDYtNT5AZ+YEViU3ZR1enLk3K/5E+IXPjD1aIBY3
fyynEAb47t+2qqQhAIdc8wGGpkIY/IoPmMg50JXsfswbqzeECfuipUK+zPXaURBcP/lpkVQSE0xD
1XBeUd+OOvwTX6hanv77KP52P/WKy3Ph0yXJh7I6zlxvBWGmFpyuGNXMsvfz/sto6Z4o9TrmWq9Z
bD1/NzhEY318UY2Ay3tjgaSqSFtWG6FYkDPEI20N2G3bgkaI2S9s8r/D3RJN0l6/LKbU1Qk1zlqJ
5niJI9eoP1QM23apmizUsbEBBAYU2skPvtd8BLNAaAvJUXTlN27GIEzQ6lpRHteel5m/+X1ZlfoL
p/CTdZ0FxpqzchHS+gaGZoIbig8NQYp3wmGQf1W63MeQS0ESHQ0Wg1y1+iLxgfApyPWTiC7hfoRf
sGM5I96OmAIPhmk+vAINv3rwQy5uKC38QWS9It53eXDQYc7JCAuDD+sK31EH4dDLQSxeHPpX3F7P
biu6/A+fIRlm0KO9XUG1cGHOhKW+dIkl6p4rzHCkrmeMNxH+syt8WvMeDvIaNQ8dmobiUUS/fJ2j
mEQ1oZMn2qhL2u6xdHOMMulR0UXbntu5ry4V26lN6YHqypwczsdsfE3/vUPA20iZOkLVYq4JlwLe
er1YD8iYDW2sK53cTKCshKgy6OwuD/lyfGBPC5ndhdd1usSIXzOFiEO6v5EygBcHcaw2xErViFy+
tnqHvf57i+7yN9/O1FbhpeD4iSkNAPVeAt4tQbh6trhqUp7hWBT69ou/tbl+v3zT/PoNQiRvZCKy
pJ79DV8GYPx0soUBY68iarLUR0/sm3/JLxParPpKZ+sgeFXNvevZo7wJRS4if4ztWB7fH5dRf9tY
33bUGijdTMR3mhjqag4JqyfUe7uNDblBKScxOaa/n1Qgs97UvWW5dffSdAPE1mobUAm5mE441wFA
JspPqHjLw7pTxKsVIDUrTAN28g2wwbSR4BM0APi94Ezi6o9+HXW7Jl2vMjfNJz38RckeyTXoJ5Ro
Kaczp1IkXoN4/+ZwfCQ/vnoe7Xdc3cwlhTeoz4cg46DH03X7UeqiDRUur06fDycOs72Sh8rMYEki
/08ulXt56JiYqJbNrm+8mMzXNLDcU90/BSFbszTT7IWex4YJTTBG1BUo7ZZDR4+itTZnpiRSrGef
ducA/wVO1TQSfPMcZJ047MkN3pbIC58pQDa1bjOIUdqLUaXlcudKlzsL7ZZHdsNhNmYtVaHM4Pix
icX8qgi9/AQ7zVN3CNyRvumsHVcEZ7hBlKh6gXwZDb24shuZi145xkpNoa60g6vaUG7A72tH8JYq
zsaogig2NK6cIDW+FHRCp2AgPp6moS0j54et9lxW7iw+lfPlxAKc/Iaj/Hc56NmQ1ZRXhk03G2Ow
JRIjFWczG6PHanGXOe23JK8b7/aA30wryeY31HFDpjlyQYJmGycG9N5n0VAbEwyngPByhOElHzQZ
wgMm6uvQwDEV42CKGbYmki0LKrcyraF6hJcIvYv6P8p7oRRyEwEYLk9JOfoPZ8Pg2DxZBHPrItkL
G9oIj6waE38cJBVxfYQjFsc/luC/mhefQNQ9CamCY8ther6vYTtEanGV9MnGOkohcgxsA7lz2K/u
ynx5vADEfvUAUExFYDfleySqzlITrdtHcNUaDKfpaiCUkBzUDXnpPsKaWVEnw/Temzdgos+shwTL
0ZALQBdtxubdEBbVulNJUtj10j4HvhiXujbGbDUvs4B3vO+m+pI2oTCW6WmT22G182/7BI4mQf51
wjQGoSyheCX9/wszfuBxKVSVKm2ZNpcDFu4VN9YMjwl6X/Z7gfhdQtBKRF5iMkWhR4X6z/76gl//
lm0+gK1WAq9UP36GYG5T7qQ4B2a/njSo8CkmmpnG/22N3cr9m/3lCKxqnG1Syva/ydVM3Z+smI7P
43F+VxB7UOn27hSYD17FvIGwh3fAUI8Zp6yn0yDE1v69KI73iXJq7KRvxScwc+otiLRDWXbIxLBr
8gthQPdmVUEaoulbvoMMatd6iw/47+KCJLHAPYmzGjhnwAugIZuR+2QpVaGAE0VPjcJ2p9ZVE9Xb
2IJms2Sh7IjOQCbHbJty4LMxwm3cQNJVaUTjeFfpL4ThvxapcmcPBM5ykxX3rl7CQqVRC7jVHr5a
K+Z3j/keyQPAWYEG4mMjYryaFsBcfM34KsrCRUZGHMcNwlidH14IZy8Z4w5e4NOTdRGjaLS3DX9i
FOwXztzBpAuXeKsME9sgXUvABBTWbqHMQReXT26N/H4eHi0BY/lCjyVCw41H0Xp/LC9AxPJDmVee
KkXmsxQ7B0YdsRJXm2uwWjRR8H0LNZInvxt5+H5mQ9wb12gkeMW0odGsX+SExehooVNtdg4GvjOG
Ic4QWMPktWPLbdo3VO+SoRVowJcqUsljeq9UBD7R7fe/nyu5rBWbnSTYDclmhs/4UkFZdRD3XGTY
1En8WsJKyxqAHcuDxPi+i0mdOi7llmSWmtaV6iw5sMcWrhABMACgjbj2RhG1V71ZI1Akc4G0IImk
7ULzbLn13s7CkM7Wm6q0pBVsN8haIWP1ZCOnqD7Ch6SNIGRO8fURtBH7v4eH/hh2Y981Xt/fIeuK
J0HqarCxALG+C5p/n+QPiQRe07tvEAG6wXc03ZuYfpMkgHXDS+yQAguRPPGq554lmszYjVw0/SBz
VMdV03wFpl8zn+eitjCvlftvtTIte5dRUllvDOsT0ek86pLxWN7nrQNILIS+M0k6xTPRuhKp7uqV
SZA2465YoW1AyVBOJNji43VfBo742Tvo5qH5lKzDIy74NF5QImWRzYwQHRLQn2WADJrZ9YYgaAWD
6LyDBkg/zxA9fJVD6FO6KmFGpyu388SMimeAATw/9oT6f/FRxS6C/E0wNuaC/L4hOQs+2RmQr6gm
vUMcs4KRr520jpThqdcmA6LHyiuc45GkASUA8qAf3yQIkz/aOf8fDNq6IrZx9TpD7EXBNKi1x3su
RNczD7vPRb1oajKAEx2+j7yzgZr6boA3aHxGQvgoqB727rlbETKXxG5w+xNJ0FKOH2NvirXKV2x2
Zj2HzJbulwF9Ar+kP2McUyqQTvCiuMKKMKgPrPjAQSvwhc5XVaVG10ry2cxjU5ZwuiFu7+nT2pHK
SOZiS0i9WAsP6Y+LCS6+DtocOeB/9Ip3aF2Rsf7WGra0tzSHGSO2J2rF/oEukaNHfBS0IN9CPicZ
ahOmXC59uiWKjlV9tsUFWxXfWFsBAueuwJRwdvM3NrKbZrWX+rqOXvnqQ4BlSXjuenyU7of3XW4k
PaHh33ZTcMiW07PEnwQrBLLZ0AQW892HrJUcIeIrFpGghD/3hvZ1tLoFsG+4v1FLVKykpOGc2cJc
3N0VHSIBCdumX9lV/0WBLB2DXyNe2/f/eG+r7l0hNVy67OSd/vVEyKzcEiqzRKMLWvqkWn6S4Kmm
C144wMYQjuiIpXKz3atTtySBqQzFFscsjv9XG1tlx8D2x7Fl4UAaFV1+08WjZiBUEQznbrGBzytk
4GkwVZsi9MmtipgCZ2rm2byRacj740htsunhADlozezf5ANwuAn71x7Xxw40sdqRoHHkNk4Gl4XO
VgZsGqK5Vqv1Of/sGehnEJMM195n+oAQl4LvRP6og24p+9G21PGorhQSs3oGo8aNzeTpfXM4xADS
jnJkPxVs7Zp7MU4GkjxisYE5yPAaoKJ81XNu6C7E2zrKtaill5Dz0uFOZJxcXxTNcYZg49v2ErdN
3vUWEIL2OfimABVSkpaA6fTfFseAlEIglslp+sV7XW3YeaZZldIV0VRnD8drFzXR7xv6ht7hRbdi
iA40hG2rrsuWOkl/hsFHPOllp58fKIsfiQYp3euIOalIFHXdHv2mYm20KFliV6aWEZB6mUPZFXJa
1BIzMl/3WV/tIZgSE9v+7MhgTUXpl+nBU2yhLqlzy/b+IXiQdqkOz3uUa/9SHOl/Dg9KJs8s1kMn
o53PpMGAeL6beW93PD3WksxALLAr509E+x0vMT+FtZrWGj3Co6EFBS5ExFilfaGLyKE68KNJKjHT
AQYVdzsmUqpWgWzwTWwXfzYr7XVN7reMzy0fU9fn+gsHUy5GwXj0og/6PUg975l4N0tyep9bfwXD
QcJhb+VbNp/xl3CIGmck7rfGPqws8I1wW1AH/zQSJBnFSqGU4qi507fRyLCzUnO4meKm1sJTF6l9
Xcaf3E0NboGnzA71isjEciJckWh86MIcrUrGB5VBVor50WvBqTuiMRIAlUy5dBKMAf66PgRsFysw
y1uQvn7uRdtnv6a8OUZJEqevMAD5wJpl+mH9A3hi4TM7LVSLtRSRRHx3tEvYQSlXPQd4HtuDxg68
DX0hFw4wqFzbTG4dRFKMh+R828/gPc23qSD/02THmDCjnyy931VxJxHS4gUfmW8rjU1YeTcK59ZS
N1ZaL/ckDCnuz5UVDbfZxvaTDiBNCGMj53hhAr+VcqD6UmN9MK/LMlsIoQvZjy30GC+ug1YuWSjf
XRKQW/TK/lyHZ3pCpB3t2MrcJsGpHfOZ3BmF1I52fVPKfgOrfw0AOqPHGP/sI/Rk16nj4F0RHHqo
dybRqcjErN7dqNSdQeOm+79u1RuoFJqMDpqeLQP7PDueNLVkjWdcebV9C4UPFsK9KW7QEvyPjQDJ
D6K/j2o6HdA7PqUvQzDwKkrKfd13wPkuIWwsGqihkLiJcWT03Vmnpxrw7XeUc2jlkLFP6ijXOPf8
UeHN8a0FabdYEz226J5KWz3feCvw2bSm7XXgjMOaMSQC1Thydwh3H8ESAaZ+tGxNjuOrE0zWW0Lg
v0B90Yr/WSjhI7v9+ysuRmCVQuJjgkB3iCnWBD4QBkAtBT+qGDIUslEB8RmbdPYm3G8DGkRn1uhM
BvF9BCWUk2dGVCU9bSSKf6V/CewOqKF2XbUxllCaI3aSMU+Hy5T0vDzS8+gzDVddL6l4JJdD0Kcj
CB4CKTArQz4qcsydDvIE0J2cKr769VgQetYIG8JMFdTyBiprL/svmZRTVFFqbv4ODTfVGu4T9jdq
chOdjpFEIWYCQRgz3w3AZJjqc5kdxPjF+soMLRaEmcqBC/N7a/giYzG0lhqFi1x36DQBjXYAE0JA
DLMFJIOIzqPc39S8ijkg3WEuTRi8w8HLHgYBfl+4yq+mbB5Ll/FDtg2cLayxxAT34cbEF6HSIS+Q
cgLupz7RUqB1VmAlYtRcNbON4+PK3egsRldSXtpAjLxfdgWZTnjxwYwVnhNJk7VfzFAWyEN2idet
dZZI4Yf90nkTuJEaBZDYw57hAILRzyJ3c0UmxZuzkgrOEKbJkn0vlbqJKm9v/QCZFAqfIxbu7D1U
ENTab02tTfbgCs28E7mIZ+KL8ulw0lzUH7Bx0soaKm8JeZKRu6XQFRvo/3addyml2n2KJaSuSSpz
sotxQbczsqaqr+vmy0wTgJQjOMXWLALAE2aLFzX5rSJxto38zrAOl5AGEynvoH+s/0PXWNQBtc0p
y0fOErhtHKA2aqMKruCKWlqr3jRV4sEOLQqjc6bu62v/oYnzZIQsql8HotYapwf+hSl0p9H16a74
t0JQq3q2v5mGMAirp8svdTG9fVxh2Dn5DOcq3Ipz/FRvnXyo2J7GGiv09AfCuRb+MWfDLnwHEjaM
bCnsFI3GUdYKlM1q6tDk8LXE5u8BnlrG+4/1VqAHseWXBtwhsOvMCqAHHOgann6hRnOwI/lpksoT
1Tjs0iXBGv0T7U7DNJIqN955zqSq527WiitknA3bgVMFrdRMmLpMV1Wa267cl6NHJ2HgtBBMcZtn
6hjNMEeFr1+qfS1yC1jfMf5qvvcK6w8o3g4fSTJxj/VmgPe4cbTA70atboiPXhWojHXDg/rBwM1p
yk/0rdZmArZzOw4kfchk50snPbDKbQIgR5Wbn6YcxxI4b40E81mkvLniEbcIF7F/CGYrghKYXlW5
9ak5oKkReW85P0uP1WMJ1PV0C+Bryj2PYZ+nt0G8/9rQ0E8QDfwjeg4yrzPg5J7JdN+vhJIjc7sT
IjpaIpSqn56KeoHqNhGZNNpAUl9Q/m+nBaz6UU3EQRp/dOIRvyzK2dBNOHszfS6YQhBbNqSsWGKN
sWTihzz0I73gCFu23uH4CxmoxjBXown/Gx3SShrF3SqyxY4p56majO5XGWFWzXL+kIFZEVTHDvAq
6U0EYVrQ9MKj9XFGiZIunPPY46oBxIDdNjL6c9CEzbHlxvD5vdlMDZh9mGBHpGgszX7/+cAbTdPg
zx8geQbgTL05+bRHKku7o/sIBkKhclFLF7ugn3IyPrs9C+BMqehA0MWXynvSEZr9Kbtqv2r+9Uma
99dQs5XC1GDXXIIqTn3MOgH05CRm1t4WM4S8Qfsmq9gPs01heX6gvGnX4x/+ZZuJecvKC7cdeT6V
BIHEZh0XjHzuf8LjMf71ZKRI7/8K0At+Rk6K6CO7JnCNxkmZMYdR+vR/gNkVceBmsAgF0B0pI5p1
pOVbM8D5YPh6gCsPFKP+KCv9dx3YpGTSK0bu4VM+shnJHh0naV0vyeCowk4+CeBe1DImgv5m6BMM
XgYa8I14wPfcvhQuGE0JIbwFCKfEqdFsHCdGiGKxnlgplbd5ltRHSAR3PjC540ibgjxpJOxXlWgp
auNc91+GHhE/f3XPg61ePe/DBcNhJLEyxhi4QiQ6YbexnrHezCh6XVWcCEaF2ta5vzqexS3za+RV
hNCxWyETsYI4MHfULJgfUgRtGMCorakGRX3DypyljWiibWsSqkuD7DwcF/Vgj5xfHZBLG9IqDXuy
VP5hyWNJmh9TCiEHN4adVjTtGbnVOEXWDVh/LsufNe4rPNVvDQozz7KJzPLYnDWCjm0qxWGjK2NL
im8a1Q5aBZ+RJTExjlM2xxhlMYOA+sqBq/6Na5PyvgC+2YAdaGX5ydDsE67FBzIVBpCgMAaRxGe0
rDEjrWAv37ABQQ9empOY86a1CivG8F03u2Qn58E3QGT4lreJ+lT1Zkcw+MwFkfBdr153o+tQZ0uv
8f+mSxMbP0fsDI4fuaOaKrwL0J6PY6rNaWszJaZcjrNfWui4M7yomKC9ErKjUMQHuP/3FCoarGHs
/6NPHnTjtnka74E0kkTQyPTCmeMTVC3M4WVQ2lDttS2wp3eTxln9RvJ0KM9VtJeeBVdpheXp2xyr
6doSCskBFqvDnbXbBDnUz43HFYftbKzkBpdEoob0k+ScDTyfsWa40sSk+OwcydA9kk4XWEZ5CKuT
cfsejibzHPlbBZ18npygriYaLrcaVcOellLtUod8ygvfDlwuLr+V+/4ysimHixdiOKqdizNMV3Gj
fFgt8Lz4KgnPh3+CXiasZqcLGE7PhVcxOcUPNiclGZs9CbKXI4eEZcMQHGmL4cuV6c/mpCPPBDBo
ly/rcw5cddPXiLxgwhmApaGknBD9kFbMsJFczLu1eSmNhn/oGCXvxyee05me3S98DJMLI95A2QG/
MZSBLcqzitvELvAbJnPSQqUp4eULc2S2kNbNyZ2bpUEAR1S0LICt+FwjUNM0lArX+TlXOK0ilJzk
l+TL5kyPGuaPQTvzsaNZWE9Ncm06mudImnJf72/kSUkUzqqk6kP+I+IDsJDs6QifpLDPbKJig4Nj
CaJG6gsP4TYNutmg4LfiSBAtIfhurML1OXoM2HpVgwuvuJX4FQdPuEkPlK8lStngVyZsdBCzrPx5
dmiybu7p1hV91UiyHEsJHBVKD6M+lO5IH3owjZA6qqUlnmW4lyXK1Opf17j5buAvikoHIKq3IOAr
RI43prFAJ5EFPDXxBmC7N2Wf7FILrQxstaUxJWHaCBbY6Y1QeEj0T/I9SzJmn6sZ9KQ2tFIRsxPy
jXT/h7Tnm+lSwK+zontiFErQB8ZU4btdcjZ3mn2/K7ev5M/qP0kVRE7adLyVq5HoVS1eP3VPODcp
nigRiwVxh1KHtnFdCaFISNPReTziDlznZuhtCzMgvXeGe9M9dhOv+nAqeZsDtPfjhvRpThlR19W7
wFPaq8eD7OZweVRO7/6927h7aNPf9kz4AvakulqAtOveoBI2d8+gdv36x66x6nYLuekHAXr6AwMN
ia/v01utMC73YoIUei13LXalKLSGEY+1aaXnABvC+tx5EGmmWu99NQlHlQ+6e1p0XIXjhWpKn6ow
a7Yx6X9QXl4Ymun7hlwrV9RBbSeDD5y1RNitV0PNF/oEVQSOfPzQLJK/vetp12SavWEnIE53smSb
EFXlaUYvjs1SeMh7tRvNz24+rWSW8EJSPEVy859+7HU+SVBbFQdL+JbHnv/jiY6tZeUFxIuDTeFf
GVcLMIejq/lijsTRwMaJYsOlR7/uY4J1dfhMnlj3KCPZ0pNe0MmyRu4lzcs/vEZuJXtw/FIhK0DC
SV8so5h6TNKOKLaYaO8B3NMP/o+MW90MP7dWJs0YhpTjW9+ymTwsXPdjDzRcSqIstR8N0IR/UWQL
Nbd+Fe01qxcYLSx3RiridDaC9zRFSyJ6Pe35moHLhhkP0C3SAweQTxTyJIbWF0WVUYE2RJe2ntWX
mDF8+9gvsv3zANGPa0y9SfTDbXfGbIAc+HO1KXkz0IdYftc5jd4sLU+nQb9uy38EofEWEJumileV
ipqn6wVO6lx55yatgu6RvMxa2kePmLnYJ11h01ClzuRY/98S8vUPKIuTgtUcQn9ZlfCQF+B1UOhE
a2yzOoBcX3SS9q2jik7ehweo42iSIhfaxF4CUDHWkGR9oOw4xDdGXAjV4J/zfxAW7aLve1LCQI49
UKwg9AK0vYsWwUkZZQYX0G3gEKP5+6AcCxxdLzVH4lUi4wnz2A0QHjSm8uoBmAytbgz/T32itlXZ
vtu6U0aDGLDYetUSEPfL7DAjeLNM/Dv5qPe8ikviBPaL0EZTgA+cTQMQznCAMRM1k/W7rmO+aT5A
J9X8zb2G4De6ynJAcaBJ0H27MrPOQUYjwz5GRN6mQ87sVJ2b/Jx2iVjio3WIJ+ci2MGvmiJ2yovL
Wi5fd1do2ay2VGGSya7N6OkHM9QYZ4zoqFH3T6EKC4MxCSkCYNGdTkn4cVChG/I2RVnGbPVWpCG+
Fq88SyU3EbabmT0dhvqH/Qy3z3Mxr1ZEZJHr7Ft4w5AFwDvcB2GZBY/K70F2F8kdaoHaqubl7FMv
DcS5JDb+PL+vAAFThm1a8D6LisvgSu9IK+x4eNCDXxhhNFaUDPoPR0IfwNseAj9ku3pdD5bNuGyq
38kwIrvOLMWhBP3jJMr8R3PlKiDLp56noYYFsoCLWElY94FlcurLRKqoajvd07Vld/Np71l/Rw8P
huzJYy+LXjd/TYjlBjLLBwOpLDFOSxLjBeZIN6jNdH2U/VG6i6B1Zb2YOTWg6vQK7pAbWaaZ1lWV
Iao3j0P20pleZe8V8Q+Zg4fChmzrJRS8IhvzzY9L6O/Ub9bEpSNhRsiaevpmVb/Znt6/kd4VgIGD
37Jr8tuqgsXhX2Rl0uuJK6qo4BJO7CsevxcBywGIEY+LUU2f9RROt5swIp87psbjin3xdwM5aUpW
SlZtjT25r1pAQkWt/XN1jTlBj2ZrlpXt7HnEDleexUVzW+dUIobYNX6LqELNlcvWVAwAj1Q2HK0/
XQg6PD1138OBfcy/ToEIbQZFV6xCzNLdJnNlgikyZ3+w9Zf4AcfdVplhhnmk8xthncyointW2Umm
B/37rpWqvZLqP+AAAO4FI7uK5na9poTgYQNv361l14G9QGOWIJB6Cka/IaC8cNad1fXh3BaVG/tl
TudIJ8EGhPEtbk9zjmWzDu7nm/lH4u3RrWXif361EOiSKBQxfSOVt0YRkuYgLg+P2wWrOSHBubA2
tO1+VrYxysbMt9ksDDnSI98XnZ+GH9M594URjogoWGfbFykRI9VYrkC3+a63MZYaK/bgVwcwnLBJ
sIot4TCqlTcSVKo8Tz4xmjyQHuayFvvymPH12uAggvtG3rvGqiPX117VZtFLLPZJTDLQJ47FMK1A
Hdu4JiQre0DxljAF3CQthaAmn2ReX3A6SnbR/Jr1fpp+OXcQdq6S8td+hGA29gH70ZlXskoxdIGn
AH3XrSFFALXQ3bQ2pBjyS2Hvr1i6w/ZRo0ghubZT1R9+/Bi6MeC0unYhyf6/SR3vqXaXDjCM25aE
vj9gnNRo6tc8rSk2ABn1z5TR/KF0x0/wU6WVGEnaKaAWWLngu6UalIOJbHmDXMaJyNG4RLpB4j9v
M7jK3dLFG3UlpaOTWbuVsfln+wFg9zCIEsxDrJFkiO5UA4OEaT4YiTnyzyPMOyWRmecOVjkp47Bu
dd+Z8bXlx37vxxuxn6z9zhAaTvWkWLuj0aqj8pZo24JZhXVLRcvDjWjMBoBImEPb+bp4EnFn0tWs
+H80j1mfYNCFTaChnHmRhDFn76HsXK7Cth6ITZgqgK2/0c0NG3IwlkGrypJFlY5/tAETnJZJQnlS
lTHsPeISQch//ZrGzMwln61dZvxvG1yZsd1Qgf6nmzGab1SRFX0OiUQQVBU0lHJ4y8IbF301eNS3
zl/4XOfZTBSpxDmtOIVzHCdBjZRUJAjShcGOADOxiqCMgln9F1ZGiAJv+DUiQ1Iy7Zh2IgCiomOX
XSFgw0CutADd2c1g71hjVc1gx495W0aN3YTC4HwZj65oIHgJd0H6xti4GCB13inzQP1cUakoBrPu
xn7su1auyS+e7yJjVyeB4bBuOpVQjeBPotq8PiglLJEqvw1yqiFMYLV3Fp6cBYdQfnYBHgC2KCgp
X1+hYoDiGGK/JX5QbaEV/3LxW6OIAsuivFhc5pztYVCXxsjys/MLHjCiG1lOmJoVtXdnchh1Leqk
8RTLgnqrtlyHSUX3nLhVrdE5n/QOgKDuENol8/JMuwwczIaMbVtkiD3U9CWYNH0wUDofNsIChKBu
C9YdqwpiAkgIjsf+lUTiNEBeCxHFFeLXdHqplhjHOSGDJklimtC8epjgkihEpC55/Qynq+y4fgci
48N7o+Bq7kvYrvbD8+2e6kcC2m9bAxo6SehY5NTBRnwF/wRVkiJeBU9Q55M2Rp5KFR+v/Cl+w+yY
iCLIEKmuzQzjrLHR6GgdE/QtP2kOaHBaSagMaWAkd1S7HBPdHh4ZzrmKC9LNOQoLqRSZYWx2mLlY
Mqa/XNyXo881Vj7q8+TmVG7ITC4If7R/2qCBrjbHQvU3GCfz0mrJSthxmCP/lvhTuk2xzIktC+rw
cOatYVSOcW0E2WKl10yhduQXnafBeBXQYK/9vG4d9RdWoKdouoHahs0KyJssN+/eXUerp/IkM8Ag
jQ4taCu36mDn6Vy6HPknOeXSd7umIpZqIR3YIuNctGdjtgN7DJoQXrJ5mnbd20a/+ka0JLagZO3F
O4ZHZyKBxSkavqE2leMfkMiIlf2Jlv7x1sH/ePnkov+Zbj92By36PsJIENzizkDotw3wTIBABCiA
qGfz0KmkFEC4gshaEUFYoRUWEnY2n21obQ+LFXn6SWLasdcC9adQ1fY/bChvX4+gZ3S3EKv6ldd5
fsth3eqTNdbr3ymZcsm63a3WEbGVi4XuQFN8Avn81IW1VtTfSSIw/bDvd7qAN6syJ/ueiP1Sv0zj
jE93K1YB4N577eoEDhNjdxUMIO8x5+VGqjGZR9lUbMjqhTYPpp/wvBCVUBl5yP32V4RYyh6K75Fn
H8yyD/usmWSYXYSqcmUIV/OEFHRx0vryEbIiR0/M7Lhs/sChFtH+wlBbrCfDHtHaZc8SykT5srgC
GjCIJz9j5sX0WP8b8KezVnOyeCyEmGcW796l2vLdhm/vmelB7GRIhxFVeQtoiGNZubWWPjxEu63+
wgebf8yu6/RAdx7CrgSb9jRmqeZ+spbHmrfxceqfakWX7QLVyHZ/hhuRvbhZbkExXqZl2/kJt6FK
6K0Y5eYZkL9g4HC0UbDny8x3isQekaKynIODDjWRaX6vGEmrPZMlrFl7LpQN9EoWrHR2AlqAVxhl
ExzScB/JcVcEATFGGetS2a3Fue1UtJ4eo4nlYiuEMINHNFOOEG60B1rdpuNfvIcTnZob0VPg7oQd
KkOmFxEjj/z/aAM6a3yqE+m0IahaPha/hl914+bpr4BrHkTnJGTPsg0DtA2Iy044MPS0V5nc1vbR
rHyNNYZNfClteha9EN7UoNfZNVhIhOwTMOtkv5kIcZHa9znnAoq3YrkNxOti3iis2o6ZmQrUTqjX
VQ2e7qTzbH+Ll9q5imdHRLLmYbW+y4UczXu9kjQM/I/4NHMMCbKijr9yxNKN51YDI6SaTDDoJ4sj
8sukXaBcwT5oTvT35D3BoLmlzWgAyIVYvpaIU8NZ+aW1fzgXEoRLuhi2HmNBn1Iw+ksBE+zJGZlf
MiCu4KcnwLQcqCBG94r5tIhyc9JTkKoPF12R5CHIQEubpYxOSfWzHyTe4MZAGYJJtaiuWX2trH0q
rUsGoi9noCcNC799t1xYgNtfXTEhLc6U4cu+3KCWnDFmI0E2d0uqZNjLy3B/q/xCIPpg4W4VfKIK
rr2n+am6QtTOk2OyCqBh9Xq2Hno2/3wAQxDVTfCAm3vgpmlf4THKTO3Cm6RYrM/9tpKbKhanUnB5
7K38ZhqDj/eQDadw5zdzX6LZBw6CFo9yZ/2Y5fctFZidLo3kPbu+cD7lORZfU1UGO0t6iDdcH4oM
4lH6FE9MkRKdhW4MO2Dy/ixSMCVm6SQCidyEs4qj1IBiQbXCq4DPdeV6L/rPeHDLgUqp4EX8rWHy
O2LCsFMsbhQvEQHk75TLNcBUXbMW7BdYvzRnmRy4v0mL+2qzIrryr0YhqUtClUsJRe078skXThiW
EDADp1OKIIxEUZmNKRZi4a5GIeFzr13NurzHm4g5lZPYHXZixKUVlvwEaF5J8iM7CJAjKsDKrlfB
bW+COxbA4Kdgm9wDmESIo7Pzm81tGZTXY0tXEz+y2XKC+cvqjQE99jqr8NkaH1l6wMB+zhCX07xN
lBY4k083BoSoqwSvHfazaSoHqt1qz/XUn5q0HgM6OUEHbq8FkMoTnEkaGhpv1UTb4/uu1f3BBuq1
6TQXwoDhiWgrZs4+30tSnO1CBIHDE9OOPt6CPYreEkUJGV/pI7Qlo7KAybZ1kbN9YHwXEMTV7BKP
QE04rpI5POl9Ugt5ay+uYxZg7exgNoo4BrBzX5645tg2SSLtyorQvZfQijVrpO4jeRQKXd/i8sLM
WMU6PB6i3WrmFnD/WB8+M7w8JVrKNWXaeu//Q50AaVsebQxxq5odOqblR1HmmD/xNHC4079Scda4
0O7bypnh/IFYEwoVqGPzmR0mqhCLbV9BVek0Ini7z21lT7TwcfNBLBGQIePYUYMIcUbfc7WzBMIE
rSI81aPz+4nB5E5f4GhKNO5SxeK7haBKJp7SqKpjRvyq/R7UlLGnPVbnuvoJfG7wX6ZdpC/hoa5h
knwxQdsRhT6xrd3gtUvWHVDsRQqGQdvJHbnjiIlCBx3+lDs+eLuxNEywJkJ2SQgMU9jBUs5NGEwb
Bxlne/AWGIp/b103Jm3CIZWh1iaELMigrjONhYfjjGtLN4mBYdBF2+FQVvx2D6MqLBFbIqr2p1ey
KiOv03+g0eRNgZ8qny0dpbHOBxwLED2Cfh6BfaBTkYoz7wWJKvA4pk3FAytP6RsgClJqxBjxCx2e
kyY19PhBp7UzTlLaun550seQVUmn0eClS7/EN+tnQGU5Xg26jVTzTbdOi4MLYFOn1OlLXdFzkf5D
qJpOWRzx9MUBsAxU5NsJVtvCMLj1NqXOYsXEwCSFCurKGifEB93boEyDnhgq/HXD59XVpTq9lmP2
BlanvAYhBM2SJm58XXQ49pmARtmmVSZyJ6z/CVdMhgQQp/fRojnDGPDSRsTx+K25TlNbQ2p1cH0U
4W0zgyllNvDYRRFBLwFQMoyK2y1L2aZHDUOZtfYmTElNsLyAKrxYwTStJ2WHnwhrJAvGW403W4E2
iIJdHX44YNJpngq26liRci+piIKG/fELjbO/B8+89N7SysF7wA5vXm2vt+L0RCbhaVxe4+Az+EY5
18NoGdFWGugbF3z7cv+/tiB/lEVVy8bx61wod0jgG8k0l5XbR49Poo66DDZ1FVfERMCbScoTUyq9
5DpU6KWPiU8qYsup37wlcuGlR6qQ3xvaunemgj5wAe8zPUEg1PeMej4rtF8IaonVx4nC8mm2Kh0D
pdIWVXVGvbRa8UQRJ3lPTDCSm0WiwCjoxGzCr3N8yeyCHhavJWE+kUmSxLnEh+z9wNmdFg9TF4Kz
4mL0T6BFI3IGy+4svPNE79cicwMjDfJ3otj1RabFKiWxXEiQGTqA7JTh5mTNofFcSjhsS9oRY+Lg
4M30IZGFiusoJhKdy5b1S1PdmPY27u219afVL4lH4BvMtlw8A+uiqBqHDxi+a7/5EaNu+/TZkXgK
6s2s0Cmaunu03zLPCetI53LOm0uFW1OKu2QYhzdAHaX31UZv/nWfscVRgXZjXtu40Q7RoZ97dZoe
2LTQqul+01UE3BT/m9j0st6Pzsl8AWd3wnHY+PVs+a1CcJmXomybK2NL/A3iLNIVQe9LqyJySAdB
O7cblX4TnMyw1Fu2f3SIlOprH4A3Y8saO/OpRpcMc655NS7JPuIs+zF1Zho0Mwm6hEwtpQzOoLNa
AOTnPq3fcr7SR8smBxfheKqeyQgolLQY+rSsZJrD0DSK2OrXuUA8jtV0S94cnfHovjMC2jBFrmtL
up/18H3+bwx6dDGIdOyIwXGntAuK/Oc5PR0hlQnEs3aTHpLaoGu4q/2vZU+Gi0OjXncc4Ug797+W
sPoWOOFzGhPp185BKl3bO2jpdo9BmDYg/DWMhshvrtZXI+Z6vgWu8BvNxdzB1vBtVR1speoR51S2
15907PF7gMNCSJjralIUiU8qkA0S0eQ3twdglcXEZerAhgfkOaX5uAfbftKzzMUkAaR35Y96hLFS
emj3EfyKZUQK2s6U+b5sPbTGXu47dgolW4hyAsnSm/LCMJomfv80zWzKYtq64+tX/ZyEv/QyawQQ
O1DJLmthCUkqILMgVG3JPrXzc8Siz87ATgbP3Lchmxafj0LsGPPXSyV4gK11f1oZhCer2N0ci6xy
fW5jUh4t1+HXxW8rtPlWmenxCIQEaDm7iBkj2/k64aFTCe51GqwkH1gJvMjsU8yiwSeeOn+r4KWD
ijy4FM+xr9da9+pg0Us5wlC2thr5IXuK3UrxAeha7jvEHbe8y2OPBLC8rUNxOwON4L189K0zxeEg
0QWdxRHue/mlAMsLyRmz5wHV03KlLlWQuc2evPRby7H1BKgCWEsjJcmmTGqt0bzWPtCk1sQAR9dO
R8I1Tcongw+nbJSlLEwPSTR8tzd0cctoBlfvSv8ZRVJyB5VfQts7YSQt9wZtINnK/mCrrFJbCkJY
M+jTqUYVpi+uSEDNOs6RPBYu/4I7vT6IsFqcmvF9+ZYmxUYT+Tmf2gYzmV9BMf0/OfN8wZXzMkke
NydgL9XXIkLIRtVeQPwIRI47c+A833JGFma4MboGio0HRFJmXdSlTaKmeIUjUZbW3b+wrgRYwwrq
DNyCwHZKePN2nkd8bCLxwccCaw7bIcLwE4xqLLc/Qw9t0RTu9Y2N3O1QbDFsVakO2RBLwBv+emRO
iN4i9EpnNK9UdcP5B1d/Expudsx1jjhRF1dyYjMx8e4C4o9gDe6HGY8TbZAlJ/rPuh0uPkuxQIhP
mUpxq/CKyUi6XoT4lxb2pCHgyM1jXZclfqk7qRBp0zMaW0neGi2rqxKRVXf1ttGSbloDHpuDDEtn
NHECh+vbqnfbNq7pKCMrm4C1Q4E32DOj2bk7dddzpDOOi2KvymYoUDThLFme7TCHSxhls6qlOlrV
+KRA8hduM2VF2OFsgzZLz990+oM7CQ5Zz8ED7KY8TDJzEsyma6b+37fu3ZiFNcWzrvzKmUqrOkvI
FRzSed5DmZPUqow+BcUrIVcU+0hgO/JOBxqSN0j7n8vQAXPTyJmKBpvDnzYmmxnhOQXBY1vFPpXw
UQ2z5L78Eo0blADOglE9mPbQiXTNh1Ba+1SKH59DhDFYOPE/JMwU6O7vE2pdQY4+NqpW5CyhmG/0
4okFu5gjQvORH4jU3IC7xow2k80iNI0ID11GOihk+8uUVKc4C2KcKEQ1wdVBRUibIcCKSXmTKbyL
aNqLqzF2J0lWRJS7bmUbFYiodsGWdPFcs61BwesALrJ0OOobwXx/tEwNtERRfBXOkTaYkK5kci3u
Y5J1Hsl+x9F7Q1kiwT3UOPOcUg/Dm8LW2It+Mw9lBsAtq4T+W3qwBiRevz31qITE3++nmgvtPHB+
axAdMei8u78rJsaEE63ilsGDLE6/RH02uEZUlOLoGeDi9UrLKLBfX19TXJNzOzCs6euKC8RlBxRc
wxHhiDzxUWXIdbrCe3Bv3y/RvmRBWhdcCvIhdyOU8y9uOHfBrRzBbFPHCkw1LvevzISfGzx5W/Xh
c+arfXBXnPxkdmHF6/v7sp/rCctYzDAhfEBQ9NBen2CZPXGNIofG+P+TpH3EomOKGJjtO6CfUeYX
59Mb3B4xhsdJfmVXFX2ibtM5TQgSjpfSNVumWZ8+sKDep2fLSrTJGn3UaXbDRpIcsqucH/G70GQz
8Sxjy4XlaOlmeKQIlSDV5CjQsOVcI64sdrGKUV43EPbTcJZVSAaeLpWCWzFh2TTNq3xNpryxRnJF
2mnFeQweyYeVLlUf7BkjbEEGBH6KgnU51ae/bJkxES2llVpYZol/7aWgD7giw7H/4yTkiMyIQ7J7
bMCMR+HmbVbW7MxkHpbJuDcsj2Qvb99qBfDnyGcl73FAUYkxZb2FduZUboSA4+9B/LJbe0A0UWzZ
Qc9hvIFAm4q7M6G/ITGFJI7MsEh0YVzx3g22MtDUVEvDRQmQm6W8UfrbKSBaW32iBu83cR3N2B0o
uau04x61wxGleGGnTqAvcYZ40oW89W21Jm6YX+YS3rh7K0jftU0rh5J/qtXZaBnyOJhtrx7dsqRZ
TTgSbbzwi5SuDBUwjk+6zpJhyo05knfdbiCo498acxV9Dpj89S1TmMwkcSFmOBvl1BpT1n5Q9c09
sgA5JTz5KWreg45He+GEjKJlmzMuVeEUq7Qnw6ucwWYYQNrFjYDg6S4khTqT1qNmGQSkOWi2/TBO
nBgSskL1gXhRaq1Z4ybtGH+l98c2/YKZ+CxeMo1kuJGvxl22YRlONDtU2h2NFSe8hwaYzGn1sVP2
06xfAdHyKR9McXj1w/Njrn954bVKGulHdrQfZ7znyDWD2FWabDrLgu/UHbscACNiG5R86B5VdYqe
HvwXqyEmQtVEY29GtaX/9jhB5MDU9Vg7iz5jhJvNsny1jqbNuR6rmnPZWMBJVSuNMTlRC+k729CP
RDC+PxskE+pUMamkmyz82hdC5h/cvxpT1uga/qKl1+pTRI73HdKrd2Enk/40VJKDTtGgXR43BN9e
aARdFpwmk4FdigA7pOvNMfxUjSwzKDd/RJvmn+LY38Co5Tbx9Ks8KPDZV8+dw50qfz9lgpilqZWQ
IzcxkIkq6FmIAFco8vXwyz4WuEBYAmIR+WCxNzssLLmm26ME9Uwd083v4HZm2wz/vnK9aNoJLQKH
Arm13TJGEhWKG6ORp17391W97XqrnLtJ9BTs5HCEEgSoZEZmrmpb6cL/4R3uyjws1ACAwg07+Vbc
AiTbaGqH14xECLLiaKZpMksSdAqqMM1RYeeDzrm9OTaEo0yO4Q0J6eIv5XKUJBy2GsHKCb0DKQia
l2cP3dV60sO6Y1lnxfp9ra0pPH0U512pqVrJEtcxn+v7YVtnrOqu+lbf5pjsux+I8ZdXY90NRPzV
MItTGhmlJX8PLNm11pzjXc+OUeE0CSD/aLbUPBpDKBrSzALk5Cx8dw/aQC0Ir+WxTKcB6yuMBTOz
sXhLSfQVsWsRNNsQlUvN1a/qdcVZ3ZJthjwtybEORNx71NAGUXuegy2wmSmMKYPYKK7rJ1GyheKD
BZcZY2iTS6wvGGfNlwfGlPy+x/p4Uk0WLD4mNDZVUQrGWxAdh2kyt0ns2ZP2HEDjt3loiI4p8Niw
5iS7xGaCqWKoPpHVcVuM2HJBWYfXmFzDJEziGqMPTRn48wpEnXSKA2iFgPgKuMG93MKYoVA1yr/a
7fjTK3DMNew9vO7cXwKcAUaXGOpF82kYWC/MXXpvBLvOxIM3HNDXt3nxcNC6BVfG7dbCAjsWjaNW
Ao8dhxJ3KfUieaTpaLMy6US5PSbdM5XV/CrPtbnfhGayln6LdCZxDOsDhcK81wR1rsM1D2PMaujE
4DgV4b5ynG2C6xOO9ddcMaKwbpOdSF38/UGb5ZC1NJx61QU9NsOHMym3+Vohyt2DaDEs0szYtfyx
f4Gg/RmBE5AhMR8UbNziVoyLI16OS7uZPWAvUxCEUrvgmaghOrDTZaopsrBSrTOWdGRnLdxExvOo
LGqq8+4Y1y5uVXu7OFKAYWCRwcYHfiyXDZ0C1MDt5hsAUfxeocoaVMiwC2Lvg+KCgjwHlg/6vxlG
j8RUDKW2Z5YspASHDsTxf9gQAtXa4951osQy0cxl3j2al52EbUC97oEZIFw97K/CybmOR/speD7b
X9WbRtWJm89k5WoUJsspih41BUPpEhwqPlzR5kgAYbHyw3AdQTcOlOQn9F9dkPzRInc3h18h54vA
0DrvvrDPyGf4azaJRmPlYEO+6phFWjxz3cXTTrOZpiVkso02n/XbSLqQymU2ZZUKhEN7TYq44/uE
d9X1YD3i/Q/Zb50wTGygowur4symvsg21kjadv8JPqgTLKbwHg+ZrlyLoKVWImOjTZSuNDHSlAkJ
Voa+CkG3FxKy/MosEbwI4/EF2YDdO1XANXb6qGgy1gRMY1eJ6HBQTrp6IzpM1PVt/9xqu20Sxuy4
OVJu5QOtM9fu6E1nd1CqTLgPFnOEsM9I7NTX2/tDoQ1wlmzDwHYcgn0Oj0aa+EFMKJyzsDfJHak4
zRO5zTJaLUA99d7w+v9NVk1lIAn0vf2qzdmWSQxs8KTUlCmgjJuolQcVxBuGVkeledBG5TeeJLde
0LWpOFw9LzhhZ3udtNj8k4kpKl/JHD+HKNslAmHGbtTxtXLhIvOvKiq+hiDCa7YC2gRZ1aGNa7kM
LrHIpZR81K9Biq/7P+Xzd5VwfTa7c99lSGvnE3enqt6b12JYOwlvXcGtKpQEE25g9k0cphi9ACkc
bePffajs00ZUevk03ypc/UAaeZ6Kwapu8A4zFAnRbtwY/02iEHbqfAQvWuP8fjnFrts+X6l8WRIZ
9Q91vkZz3vPNbbiBDqxBnDpWCTYZ+mSHI/3ikDH3A0ZIsCE07H28k/ld/+dMcQJJm3dkcHikSFzt
QtMWcS+kaErB4CrItLriBMjMATDHex+TUFapQG9qfysGxlPh5uA7H35iMRgZwK8zdYVurOLCbCZG
VC1BAH88iSq01+vxejLqQY190sdT9c92B10O3jy8MXogAt8FQfx1JCtLjOstpC2sQqUE06ocfwel
SGf7Zpkec6t/p+pwSRUM/nvYiYHjsvJOBtqfh4zRzSL/MmQJOOWOamPqCdJZEaFds91iaWwTiLjq
2Z1VSYlo/IxtDRTsmIstRNoFlUFNwANDPzsh1vXhNnnVO7oEiF5Bga9n78jqRWpTF6Orr82rGSfD
QZb9bVz1tQIloZFzdD680KC0MnZnuAzVjP3CyD0K/LR0v84TYDR9MmdmgSS/vz7OZ1L9LWouRRds
sxh/JoY/oAPgFw1P7ErUjLYhWAAbyj9NE7xFSEJ7GY8fQO8FWA0AkSWzROho5R/68mrAUHXn9kNQ
SpmHOPdyXVplSgf5yGJS9+tCnDKoeGHvPLBGkHvP4st/vtXh1uDFSoMuzGebSyGeJq10O5Avcp4v
+/8ruWuiOf570roDI8sg1vjpr3/6iHcP4UBvz94UpdvtvxFJ6czBcNwIR/W3Aw+UbNkhpsvnfuHD
mCIurNsOcv7ka8z6X/3ktuPUyv0xG7IrHWqG6MrcdJwnh401xIfY1Rxj1Q7yINVsweqr5QEdc5ks
tyDQDLnDK+01x9I2NaN0Bh2AHdnKGFMzF6NkGgA5RW7DcvTLcWiP5LrIU6eXD/QlZ+Zbp4MFKi0x
3S/sFZSVPRvqDabbTTFUDTngIUJ4TH1yNyjPBKSECQeCwJejECrUays23CEaf5NYGICKUBQG5r2S
WVO7QDlCHl11jygcKFiL6G+LGKWHY7rUYu20f8Ld1lUTuBik0nv7Wk1JpxNxzAunKVLSPiCCblNK
M+xmgnwDSry7kF4hMKSjS6CnaSiUh8c6vbWVa5dpWmCKk69pXX1KvBfvRWgleGVKQWNI1Q2iXf5r
ayuN5m4i/vfltfyQpMwlKaHVqfmj6bi+Su7LAzXdEqutHfwntPSl+7Z70vG4Jjgjvxpv+qI5k9RH
8QVOKLKk9zfWUXrAKJJkV3mFNSZswppSTTE77b5514HellB9CUc6TdBRGeJYW1P1fOZ/g3rZRU0Y
oxsKPU0Vf9gWdaUgtnDX3QY20VsSoD6UUG2y+4Q472Iyxl0eyt5k49EoftM0rHnGwxAJM2x37Izq
u9zBNTctwWENUv1IIzdkHYHERcKSkmdonE0qfMnAzTUwcuvJm45BQR1CDEXaaGn8A6xb2gSO9Irg
JJ86YMd2NujqkQmTJtHy9+KRZZ4bEhVltrd0wWmR36xt8Nae4mlk5jy/c+RpMT5gnCgkNhOahzRn
6ENDbJBh5zg4dWxFUvzYx2J5yR0cP+cb13xg3iFWRTmiMvHO5dR8wGdXqh7mx/igZ65GMsNau/5u
MQi2j+NB0L9fptyeJ0jCThhIF0FOFw21Fio0tlVh1nQsM6n+wWlVsyMvJi6nIAo8+B6uhSCoUyCI
odZQ4gHXeRppFmXbTkFonaSMdbUgDfu3KwYTlAGWP1F7ghtsZSFZ88H2aWqfXvChh8IUkXSlD+/G
okFGEoU6jpLeCuuWlx6xjtNTj4kBDebRE7t2KXqBdaot8bwR65IfJwwOB2hTnE7QdT3fpQiLdRpo
9OIQNN7MCj6rkPUzbN8c5UJOpaURVL2m+ihGjmUxSZeknZPMndItCoIAk7xfRbTlHz7AHnjs4kbT
bhnlhx+q6Jc7Hz96cW8/ki5yN1SQOUn/Bmh/VRnCjYYjUqSgHUHo01mYuZhcsidpRmbQzyOdoapI
laOQNTrUy+N5JtDv3mv27vWsb7RYb3RSLVUcjNgTksFXQjqHAhAo/4JUng6Q8QHwMWfKtQy1Nl6W
GR8d7Oy4Aqi440BhUnnudu+JNHU/C5+uNWipm2Z6Q8vkXegRqfI2bgUXDYvUJvcR0yB//dp3CgCl
aVjAKDyJrL1ets929dHyWh/gz5dwOMAN3FAcCjbEpY1kQfEA/qx7R6Zf2VDLb+xUT2cdFWpHNOdX
qECOuCHfVEVus9+nugQKclA6uXxpchikN1lcw+bXFf+Wz7/+WU/uJWkDnZyGrztcCrSk8sGA1/Mo
+HyDJ7Z2qLy2cq5nMETXZK9486Rw9iQwPOO04qku2G2doMGTvrP9NcRFWmG8+rkojzgKBBdsUQOQ
quySfEa8LYxZW84zojKXiodrEybIq7ovf+Pl3pVg6MSpRVbpW2kzm1RZVLGvyxWRhIPkgqwsVV/f
3sfKp//YD5Fm3a7nj68AhHIqocmbETsx9WHXUq2feIICjzri0ux0epvyhik/+YNVmutFzuiRX1dK
2y/Wx7gUHGTPDx8f75bkshvpWYnRtBGRXi+6mtSH0hHGul+aD8Few5FRlkhEIosq46wCCXUBN1v7
Nz0NonPdGYEQyGGLSPinUij/RIG1IruwwFYg6wHZf/+ugu2Qgy3Gi/NTt9t98p0PAWngJfoB/lXF
XkwXIWQ/A+66pMUDXcY/2Ds6X8qgBPml+cpLQL5MCloagBNgbzsDvfq9F/nWF+91uS+3uAa6arU+
U93QvdiFzn7FcDXGTN311felDGOVNc6C1ByhQeKB26w7OPN+/kq/YURmjnhYsapNSVwKn78oOLXJ
7laA5DWTw62lwz4gOodAZhSHcqPjVludZkrkxXTLUe0aR6aEgg8iTYgzS9/v9+3bjwuROuyALQ6i
2g2uXiDp9igNV0xfPwslEkmWD2ECCBtJ2ZvWjocvFd++bQdJLcbB4JWqrxF8DeYzR33iN3kCjstp
VeCLf9I6XVWTt8CWpuMkG5kUkP8yOF+b5ThrwOVniOcZQYXHGRsS5UfvDbZbxuX1+Oo03Is0TdA2
D//ITWMzL5oOQKhzKcD91lBsfqOqBvohtnImdVh2oDHe7JL2mxQ+lp5DgQ2WR3Lz6enJsAZRaVTT
3Q/yvhEVPnMUtlVWiFsL4fNx4/eqtCLI6Ch7WECp4VHr+x2jLpzCGdbectEbIpVDWyzasyLNS71A
aqsGqDDRIRJNqU5tlrxsOxT2Del0b/ULNTiZcofAbg0vhpJhEK/OLE4nGaE5oGQ/nsf/VXrCIiGt
oBUfKpTMZO+xDN7q7KqcBJLjUgckqG0yDOlDUxIL+eMrpvWstFXTVb8IES1SRVh7nbQFZ0VRU/4A
kls9YGb23wpzgCuHn+F6PZVrtp3Iu53pbdIccuWdKW1GcZSUxcAuGsZDMJCWjmOE1k5KpHZHCb+L
jQ6RaTSpCwwgouKHA5VWX2mQ3yz8Xd9o5uf+Y/vTg71Zri8vnCANhHa7d4ONlJgCgHcK+1AmSFmO
u3rKSyE1z1hdPO6+Pd1NuvEQ5PPoQ8enkeoCiwepDM6v5e9CAePGUU2MKnzvTXz/i2d0panfv7G8
g3TKxTDDeAC7litchW8zedQ+BJvPIdm8/iEKuW98QFF0Gl2UgsqGJ01Pnif+GnoTLfRxIFWRDx5A
BLXC86UgNQKkxMNyuiUHKv/o9q9rl1/QAOfOiVzjbl/ZWL+cqOxvdtDLL+NRmpfeYLufKwoDiRPy
g7btZKoR4NRjvNAZ4HLL8sPqub7wq+Qw1RgqdsPxlNCMORm+ilmZsLXxL/gIFzzs5PEOL8yABE4l
XP79Ti4hPBf/NrPoMHCHG44/L2gDV+8HbjjkEfrnhABctqt9A7fYlMzfia2BITQXbrAMTxFeQF+D
GOkiewhRlbJVtz9ROo7Z5KTDkhWt7lF0xH4aokK1kyg4fxOFkvIGIfTW6D426ZbRew2zjGHsEghl
kY7M4scrxWky2UBhDxOo7OzYguGdaUyllzuXsYaJhDFFgSxU+7GXiHR7B1q4z+UxryJzmqDij9+Q
26XuJdrqmoPCtQPaMYw+gaBI4V3I2VdF8vs4xPy/ZutV92BZFmVLl3o1ZbbxvRgPyrjfD+uz3Uh4
gO+VkXi6Z49tetQ+rpKj8R/06LY8GEahrdqtdK+N2ow08fPfVfNHVxUiPvSO+0XUDSPXuVWdypsz
F3QmhWTsgCTexFR1ZaRmR819esMMPCu5In3dPIBpD+1AzqwpqyWgol/X1EwnVvny+lc/D2ba5lTP
flbAVeEIceKQjkgipgwu/WusVvFybxq8F8wZO4n+XfHYS7vPT7jPWuijuv8IobpJ+PvVFS8y9GoG
gX3GztcIUPsX3IOHY9xMtnYTS0oKkT6B9N2/gb+WfLXGVBLcommZ0fBHhMcqB+euAmfSm0rh+I8A
qZutnqGOuncKuq+vytBjeslKRioGbKcoxvAohe4mgSUFOf2RTmmKfnaLLDva3rB0hRRF2hc77jM4
w0mNC0d/r9NGVKRwQeM0muzM6sz3ZvO2KR0NFhujAlslgmwGDFUKILHGRLlQW3bcVOy5E3TaqOPl
ELu7V5pJqaSFh6DnFzmZ492Lyb/AjV3+jGDJZAoeKCGKeFlIUS5JB51jHjD5em6i9NFT7rl1EVvf
lGoZ/Xt32lY/P4ybRqrzVxhkUA/eWw3hjECfmiYrO2SlPqDTD1q69XDBkU549Dw7BoEkFnKplVDX
ymlp3zNAThCjrXuxCRkcO0hg8PE6pNrnLEaSvC2MEUSDRj4w2x96EAB04reXlDR7MVj6AdEl6b40
/7J81lEclALNdZEgrnY48Eo2Ku4jzU9DNKrDn2xARbOCM3ixNg+0twVhZj/OUoWti5QyaqrXwqMe
YhUB26AI14aogdnps/Cn/Vi4T3dqYP/AdHctTcULJPolCMtB03hm57Mq5SVsKKxgFL/9rR8yeFPe
ttt2Eu9SxFOI7fQZnls9padMSOPl8ZeHhlOrk1eGlEnPpwtkKEZfH0JBThEulTi6Cd6JOwNRoGpG
vowXdrmmvG3Hdr7X6MHGy3JX/dz4zNR6LtDCZH7LAJwueH4BUTuzxvH2f6KHU9R2qwRRH/7I4fY8
WGfjbIqTereLaXVzb0QUTaDm+b7YeqMmt30lr9xCvUBy8OA9S8bH1E1jYltEGxetXfsrrjpRitzb
Q1UOgJPu4xh6VJtTHeTPN5uD4qV6bmnBct9Hvk63wVRMYRFSgz+/k3vT/VF0uB6T63HxvpEA9V2m
6N2aPLsFfIAWr5GsVJFcvFcRw2SzmPl2TPd/zE74VHzpJf8ibNoqlk6S3gD0vQqCqHuRs3kHAbAk
x1g6mWZgn5eDWbSknxequuymXa7h/pyfNxsaZhuDfIMnCO6+CTgw4HRr2TogRuuGMUEtLUFHRKVc
Oy6+7OXLZEPvKyVCBAUvBRnVSWfPix3HS0LY9rRUhUAMr1Nsmv5C5tRzNqv9V1PUVharFgCsNyvI
Ytkpm+dbGr5F+cSbVtge4nk/85z7vDG0l9hznPVbaGji9/qYCAr9ef8qsPoEmP0s1yJFyCCZ0J4a
KKlpHZIGgPoiaVzzaRYlpQF85NHbZZZ7PLgSWmb6CGIF8YIimkBvwSMlh8HyEcbsUZDl9V/0ae4W
dIVn8ZXiaXl8UBp9dO2j4d1h4zQbj1iWQi0sbMUzcN7iEp6xk3ru3huyoe0Eh384rf0NSbAflLGh
kifD3fxgbv70DRMHceYZLLQqdzh8x5lqcn918JU7YJPHqDGJakIwCO+eiDKzakSn2sza8mNhYOxF
AGeNfJlMKryY4flewVoWNhswtlWs0yZ503qvNgHpju5iu1qabV52NHFz3QoBF7cuDuiVUkCzNxpL
S4xoG1OcLCEn8daE7tDioYwzVWZeyLHHQ0o82w4lNXeGiK5CHkdMl1p+PAdEDc0M4hyat5Ih7r4O
SEwQCzvW7Op/K00BIW1eLx/9D7ZrMJEth7ApC9jXWTyBFGc47XnrmkNldYnr3TV/9ml3CT/hf1DD
frEW4H0SLHejf7OUGptDp4HtAZdsspD+4TJSkC1rF5Q498hRC6hnCcwUszGJOvbJkZUCN6eno7cj
FzCoa3RTE07BN/8xetG/BTHtm0bg8n56JnlBZ/eusy9Ix+Z62e9IMJMZIUBkGYauNLn06EF8ha0X
1NYJU5vC1rWPDjIFkMjVtYqRJNol8TeSr3l1wy/PagL7hnJ1eUAZf5Hd6vRSAvYppr1mWRD8TUVH
wUOC3ZyyOFULPzF/Kv1nRuhvX2JX/8aMwZuW7qTcAAjigPlFKTCJJPAwl3czB0vjLyjP4P2+Fbt4
vr97OodfApAG9Xsrq/vS1WnrTxg6NLrEZQlZOUMiGZhpB1WhGONorTp0ppKAvc6fOjWhY6uypGLA
WGK9GA4+HJfsnUeoGjz+SzhG0JRrZbDKSKNYr9xMmN94ytSZvux9BvEBPw+M4LSQxZtU7T3/s/8C
KzgGXnZ2KZf94weL0NwCMMyKn/QP/uTsp33FMDCLG6QNtmSLXwEmra7C2KdjNHNd1oMUU7PU15dh
0yDlgfk63Oi2VxXCAAGKs7GWzd/lnsIo2b9WKBQzQDQHgnN+YoULTCoBTzvk2c72hbELauQU3ok+
a4uHl/InYXgxQU5rZ9AeV3y6rCrAH1hntTXxR3x6Gx+XOwx0yRcI1rgEDlJsRMcpt7G768+q70H3
HJfD994mhJhBpoAvbmOZxcXLzutdG0jfqMtI2Eg5YLi6ExtOlr/4LcvPFBdEJyCl/EjdlhpwGmgz
MZYwsgdsmV5G5pnNHWCuZ6/upidcJqxZlyhceEBEjdi0jX5Ko142o6bNOI2a0+iBNSQ/ZUSYT0M5
gtuMIgzqBdZO/SHSX/uYfYUnZbTxFjmJQH+MF/H1zvQ61WZmuMIhz+k7HkN7z9ArNfYqc7DfVTYP
i1BTIQZr5KOHO663xMc3PL2UpgiOJ7t+G9YcEU4lLIOWo9vEhNy+jtGB4wWz2zmUHq18jbVGJ1ta
rd3lMENqqw+oWPZMpssN1beE5JCBzE73tV4xnqtBw3SK25k1wFXNHV/mTSrVKxRpwfLEkR/DHliw
VeOq1zGfo0VDr6QD+0+YmOl2JMWs4vBVsVMIdJzQab12QK655lzcetqZgopm96L8RohwjIGgKqLx
zHu3HEW8BbVa0hYDjwxLH4+Gkyai/aMrVGdSZdxd5NT0RCK7NwymzPNcMfWac3OMfHBUFhUKSCJL
b1lkh6EX5+HvjKuplFSrLfRENIyVHWoPnf9K/V1a1iifUjexnwnz7xSerhknSI9S0WbhVWJJwSQP
++17E7xbc3v/YQrXKkSdf2MJpV93+/PsO6S6bJPB1EjYY3hOuvcmWaaUG5MZqzbDj7FUQH2GhcRI
xDNRYrNvpDD7ykGRP+NGlAXDsbcK891Cnnv0VqAi0C5DFERLM+e0TTZjI2JExe8/W2bGqHRNAVju
tlaxLYTySngDj8mK2fUPUGfeCqmaswAlVRMSNm6BXXvWj6rr5/Iu7ObCn7W/+isDfJo+gE4gvMI3
R1ISFO6bbfx+djKSODTFH1aZEevk05eSrZctQtt/SG7U7Ao6qUjDdZH+pLV21YldiDZGWFvHDtYn
giFbC3Zah2EYfQxdpjzSas4c0Hllk8B8380BvsW2mKYrvIiOaffZivKdvjM/2EAT72F+epBdXMND
L44lfhU1Yk5ezhCAdoo7L2sZbgXPmVJXAxxZ51To6jzt69Jlevyp2aR3c/WqOMF3TCwUGkZ3DnPe
g+NHJoMOiTmIjXXrtWgYURXzfBjSOK1AoI9ja1dxmY6EOAz/2zblqvbUur3xPjy0HmzYVUL4U0gH
esJS9+pKuSnpBLi73X3Ansl9vpX+soWzmJ4LRjVlKunSkt3W+kri0Wc5yHjPmMqwE7SpNm4l0ZUO
CQCDz+vqhEqsaMP10/Hd38WaLEy//55qKTdcovZO5hP4m+PI2qXkECQ/XdFCQXe/dZCeU5r16mDF
rAE3KNe03kPu1vsEPH2vQwQAl4GV0DI/GfGapsmr19haEpveoJUwW490kWV89qTgF4gPH8V3Beqq
jYb2cEnr6AH/kqA0TjP3H43OrvrAomnu5IkBasCJ51j7i+7xuMkznIysXahZJdesRBRg4TIpwih7
7Z/uV8QUM7cn1S6gr5mWS6607yF56jhofzg8/zJbjXwWFFlY91aFNXrRqQFp8wNyz2WyfZV9ZqKb
xjtv3I5ySuu/Basjue9s5m2DHlG2PCTuwqI5EZ5zJIq7xoYkrvIh9VB5IFo6IP5xZIVy561QUSSe
gkf3C9uY5/Q8VT61ZRsUOfNc8/LXkSo2qD8yIerE1DS4Ay4/UpAbNqnmgzsxKfo01V9nnIWOUKXY
uUxSjqyRKEdbNqn58Uci4UUiCm6aJ/XUYcV6RtGueLrN0ajTXnizVWKk1vJOKNR1HeiAc4+513KJ
57Nd7dawMPWuRiPpP/g4IVgdqd7JN6nvIpCpkF96uI75yo+GEJziUunILosGndAIchCgcRIpqqpc
gpPBFHrro9UXdmsIzSEIsS5fx6k0qszRn7Hdmh5afoksPneNWHcdG9uL3HTTE4fZYfLZ0sQutAXc
7e1tMapL29mIboFjSajskiDtKMmCrHv2lZE6Dhxe8CTu2Xx8HtpsDn/jL+hYvGHXgY9khOv0YeGr
R9TgeZrKxHy5YFSPVrEJIHmYkhpsQc1IHzdgiDkH4JqubUURP5xlVaN3pzxr8k/HUfsp2F7MAIW2
BP6mil0d292GByO/l5wwieqPiJyPTGpf/7IV/1qJzUTba26uDvOXtZnT56UEXhn00xdbJnsWhuTf
t9a8dF0hCzsRwhZmOKN12kdc7fbUOnYXgGoAnyTXHyuor7vfWh6fNb8G2AunbUi/0UKw+FZ4emNm
cHY5uTDO6sBMduJFYfgozfseEeVTCj6hFDQzxNjEWfi56kOjSRfXXmnleX1OTDTSAMLkRxNpEB0v
7O7gP4Gs0iMuaBVm+zt4wT7mgbHc9f2efnIQkKrmuxvaVd3w4/GPHGh9lbNimJXIcXEv7ymOF3Vp
Ckw1JTIsIXPepT5EjT//gEQq7+cNFd9V/G447Zmr2RqpeM7dPGKlZpThlTMBYQUO+SbQW7Xjpg9F
7qoNO6oORszyOOPGuwfQdQ90jpOJchMZOWcIRA1feetvtHEPJyI+BqGAmWdO4TYqU3KrhcMEYXNZ
3GMhcbRjtGb7QUquPGJp69pESf7NPaK+O9fw37KzrROVMYkQzXrf46m3VZYVNb4kuAHls6DQ6U6/
sOe+bBbxXNelr1XNMC8imokDkwL5eXENuANIlZhO4UHkZN4e6jNXIysi8ROeGQkb2JT60N9TmAm+
0F+Sq8zj0VeVTszsLupglIeedaWqO42Ttry8Lsiy4WiFehICHECfirWCmguQwumD35UN8/Lx+HCj
zszXpeHM9XFuaMn658VbYeSrY6x2Je+MrB+XW1Sc+p24T5zz18vhxNDXogZ9rOMIuCFpWf3w4RzL
vG+eytBHsfG8uAwKkUZczhspvsrfoPRLfMUB0V//BMD8tiCb0pHi07AYpbwxIMQfTpj1FvmN1S0v
AjuhfOVg6UyS3KieHALTjEAKuR4AdgLBO6ImRtEcnTKKryADcY8Kbp1Vrls55Q9w3liLj8RA+kAc
f7SPdl5OAVsB5NN+FbPjabXpKtJFn/7OBYuJ9nSwEe49COYfZC0AWBJsj3/MIk++r9CsvY9vrVOr
aaiAqGlqPLh71wwoVD4VFtN8kiDF7DyjLxM0N1ezm9HTlp6FR5NQ4tHyrdYK0iJ/8zVTxvLIh9fA
KwPijPrjAvzK4wh7SykanvQgWiZDlesG9xAT5KJA+w3RttAOFV6KOf0idh07j03xjnUCTHlVDMNH
gYC7EzsGTnrfQg1S45UxmNvQ+4tlx68wAWOq2fOFoiBYh6gv4Syq4rV16teGmMwUMOkIqiS7qcrH
8ijy00X+FSwrSXxgqk5jFmf8a4b3y4yTsNls/LXij/Sr+FH9qD265KCHDpoyjEj+LoSiC8eQ0Sj6
PGjScxp9YJVilca+qeJIcuS90vA/6ld02M8qKUU4m3rFQqmWo5NHq9fB9h/Q0AKwWJZ11V3VComF
HmE7tSLOJHZp89H3WYtnHkwtSofJ3iAey/32e6G7ZEPSpRtAurgQaQqacGtj5Q/52/Zy/zbbqUzU
wFb453rgQZNaUY2Leu6WOJBGslY3MZ7+FnGo+F2l3vX/HXxwfQEDQO9yIVcLm+LQTQcfvBEOfPLt
lgXX82HmaI+6011AFjIggcwqi1cDEAjulFY0TJD6IOojgvJKh/6rpcX3g97iD31P2WF60wt3aGg/
SAP4ezpqw8oAb3VAndvnRQbndHvQSJ38q1xUxLgB7cHbqN3+YL7PFwW7oorhpo7ZNoAI5gp+Z+bG
KItR8eEPfv0HBlZAAhBl5rrQpcEbdWWwJ+hsPMQTEqlwIxRyOfUgHkv0Fd2WMUs8KFGb27/ty3BG
lvLqW+z/46gSgyqL/e+DVlTbUktN7RGHt/xb2CEceAy4r1QZHw8uycdDYII/jx1CWAXHdP1U3wj7
bRxtNduH7xJDJegcZXMlPXQGGFpCrTFerHS7r9fs6kpIOWr+uQszRqZYQXD7CMeScCPcZUT4qF7c
2900TqYnFeJlMbPttxELRJArrR+xOGpXdU+j69Dj7/tDUvyzfkbFcmOvWQgu2rLwMkN8Fk3WOIh/
vh3ch33kw12BHYHaeH8jSFX1qvtk+Zw4bsyC1+6PnviResLbQNMMhTTRIxJUKIh3Z1pAX9vVe6ja
CTgm87eIxJTlzbidFyvted1NYEkP9daImTESpAfflnx2ys57+EOpVJx6M+Ic23VOJeSIiA4nYxjt
mrwVxO7bVWdNX6Zhty/rrLp/wLrXD898yN4lZ4tcopkxyta8KgqYsVkwMFxAgbDjQ9OZyrAMRWSi
KPOoxd+3WbtE9KutSs5TQs4BNgoIyCSk+ejlqEMvk4Buq9iAwFqfcbGU4+3gMBWT22Jr6VWK51IQ
6iwdaE0zOGoEvihxFuzwytmh04IPMjDEbMTeAImpDkoLIsfGQMIH3/ZvN7OnbEa/yDjRHPVuQ6OP
eQR10v+eXPRvr6oqfwPRpkRpaLvLtqQaur35cJVXyFxib/WoTGuB/PDuqqEA/D2/eUjjETNCSJaR
H+eHDpExv0G+bqTM2nT5AL5YjrBzeUl7qnuxCjtP31qW291T4txIqCzyQwQP1iDAAJU3cPJ/wfJX
bWnwwzrHltcjARCYInEbrwGLwx58m4AyUQ0yYW6g6pdkawe2/gPxu7ilJKI9HKVWjroFMp/UcW4+
mR1E7mhzwe6UNisxzPv2Oz+GNsAJi6jZ8ds0epusFaMdZ8QqP3EHB0cundB0WlvCTUTyDBHC9zbN
16bPvKSA8X8fSavr5VX3swnRz/QZo5sF59fXZdZqEmf2jU2JVoLJDf+WrmmPzELoupnSTIznu5lW
LKLXqg/6gO2eQJ22P2xz5oPK8U7KFyFo5SIITwPJ04l/IXqSGRWrsZgPADhsqD7XchCVIo67KdoH
4IUVsHiABJZwC69/x3QCS238lwaOTObk7DSerD6gywyRFipJEps9fiZMmR3KFu5fhuak1ebCyfVW
APBdi64c1DyJsG46uEz31nPDHJLjWmLZ67QjUdrawKVQWfDbuqYRllJXZWKAJG7z9we34Ui81KY4
9VoqchMzbPTj/HOmtvc/3AdrjrdWsqF4AaRvRJKQSn3c6CYU3AIuiq325LZJZO3NZLDHFUtxXCUm
ICNoJE1RMgT8N9JnkTQ96Adah/sOY74rpPzdS3ckACEoYz3LY3S4UTnjKFqJ8xU2dAfkrvl4Usv0
M8XsxqWyxeYicT4vBxvA1Wz4wz/1Yl/FQ6zvMi+IOPl5Hc1C8q3UPZ/CYX8FItXp1ffAyv29pYCl
iOfeypaHf6utpOxJXPP7D0RV2wN4R8jQTf1qixWgujsLFS+LrfxqSyS+Yt+gem48Z2ryUuav/T3V
QFwfRvzXLg5aWBOFZjjpKeFdyU5+9+RKhNdsz7ozQwti5JCQP+qV4AB1yz9Bna7NAOxdOq3Hr/fg
nFIxT2plRhh/RSCoc/C6I66gliu2Q44QQp/9tp74oGpX687aUcD/ZGjFf5ewB/yt/ZMfn0efHsPP
DEkr0dHhrjkePfdqPBsTcYeEn7eJ0qYRHxGEdFpmYAXy9MUWo9pqJGML+JO13EQUV5keA+Fumrdz
1e/NGOoPcHYktHnrmeKxWgaNy9o+Y2I0OvCreOurLBB5m6PtqhiIS1yJ6ABEyBM+Yq43cxCmo8Eh
HEYdnpQVWy017H+Wkwh2vshyHof5XytMPrKJs339fA9qcO5LBglduMBMRX3DF51ign2Aqo6685mo
xauQBd5Tazr9Gh74bGEV5WVyranzrq2nswfgiLZhZBp5CTxKMxQwgBUYIoXxVP+2iZzD6ojxthow
TSr5cuO0CItVFKUAgXaW56g/H7ZpDy1uhQTdhdpnuuNxOCJs0cm47trq31oxhZweCeoyXUar/Czb
kCNcj086VM/qUcO4bcfeSBPvw5zajEbsPqNtCXOIg1FxMCgSN47fwNCC3xVIH7sjOVrlaLmxmvxk
5NW6JHVCMkfeyi0+2g6lmtVvOrhyDW/6ZCsKzb1yOnw72iIqX9Hq0xufrjeTgyU5EKjw/vUhOeTn
a4ScHlmExE9LwApq8KxDU/BJFr+FCUFJpA7BFwyC0xS5Beq4CE08qERrK2s/TFy+JM8qSZ/TaEBO
ux+q/oEk52R2dXWiGVJXIvETrxIF4IojQEaUXLwB2yg4Rt5aGAljDnK2C2NYgoADmhsrJm6PdNJF
yt6qJ5H3OZC6GKOiyI2n2KVFNoOnLiuSVkwJ0g6u+I5qT4vdsHUaW/4tf+Lh9z8KwkWzgsa+iFOr
Pjm6OoXm70p52N2sB1I+aRZR/JwydIGhnYkalOXEv0w8kzUJq86n2AQV+a4HObT8JgtVc5CK7nwm
biRnOooYETg9VE1JOuABMwRZKCyBQlagw5ZM6wCnvXaPEsTdocgzLrqzzrZOhvppQvPNgVScxeQb
udOEf96xYx80DfJC/gFLQcudOXgBC3YulaHj1sNbkRAcWn0ZDadH9FbvDgWPJClOEnGrParL1n/q
8CSw5JzxLKkLecHmPreRMfyReLoSbNRGxLfcnMNjhCManV64rpwrckPp4puHGPErnc+HXhFDuAZR
ltD/p/ObXaC9clorciWuGZobL8g/VUvWEjBariGKcU6ZIf3KL5Mj8M+mlf+bYuVGG6xuP6YA+UwP
vF0dW2YZBr0IgTm2YYiVwV18ZNMP2RwgYuXWt+l8L2Nydvw/TFOlyOu1uLXy8eOxDNI0ZgCogV1y
fVr/d4/K3zjOFypBJ1X4q3Hij1JSUkFo9JP5rJonVsMpinF9tJykPOuNptqRc3J7gt2H9XzrCgeq
iZmtd5R3dinBjQypni/EbF6Tfl9K2SPgfon/kkPRXwEGQxhcrnGlAfhNCuyxDj/8XhrgjcJJJEni
WRyUkpTd6FS1LiJYsHqC9dBhIprIwEJYiUAeH3NiudbUtPvgs+OU0GAmaE8L5XSyAWGEAjbIbCcP
+LgbkgqOBcPnSYLNpVQ5fWs5Qa40pp5l/6xOOhBsG/3vURjpYpt+BWuUks9qmT/KQUpdnSQ4MfGG
sF5JU6rwvHhkC6UO+rPQvM9ypUBOKkqXmsGILoPTQk3oqjMb6MHVq+P4CmjlD4LC4Hh/v9C5Fhdq
tyl88QEi57MWJjHLyEoyySlRdnCzcSw9MY/M3DzZNB0ELUye+EbKkxq8O1qvtJCjGtrSAxjVvNeX
Ziwbvwp5fDscdFMy3i2epwxhVsEQa8xayw8JG8t2R8awUzC04mnP93UykcG8F+v6+oFAR/tA74Ny
hvClsQEhamKGsgk9h/ERQh0R9fQMrto+3E7+O4BWkfcSr2oJ7wgpxThrlOXeRPZaKlIydx+mT9hc
yYbIt5vjcgQCOWCBJEd/t3pU4M8v4jwkqm7rHLI2e3Kd0SEh5+aDtRRORFKzfDZryiyi38dKxOlq
5joePihBDCLSxaHaMkITBV7baXEKi9wtDBheSpGKbV6ZibNQPxaosOP6CzZKCQHZGEX0jMEIjUwh
D43bOFN+w6033l7XMq5BryeWQQgu3z5Ai99S9ISBuMCIuuhKzcDVhg5JqxiKky147xF9hdTDjf4E
P1y63YRlm8vT52qlckvQUY0pQrgBn2mb6T1GCy6yTrCY3civm0ft3Vm0u5PsUtHBAuHjL6tTp3YV
LCCLsBTlnPdfl6pqPMdH6D0LXX1weNaNC3Uyt78P3vz8yfPI7VpsHiZ8XbB2hmCFWA3W8D4+dtWd
vlcvL5FCn4uKrqgPA/9ihDMmqAc9ooj9nv/iMGTeebxnY7plJpWbqRD/K0ithB4wh1cKbkkSWX3D
C0LPqzHgGMQ42BQnDnU0LPr9xfsPGfyZRLiTmvUywY2VG0tt2RiuXNBY40T9MWA6sXOVAk2FmlNJ
fW0vXYA9ByCNn6ontVdyds8WOT+y7YktCSujypPSwZpm+IRL3TSXA6ANCMYUQzxy2ww6symSsvDS
HcUOtyKHYGVOBjeplAYWrY9TSILwBZytaJwxri9G+ZNOkxTc9KaMjnDH1lSwuiBoEc6DyDGkCJfF
muuQP4UiT889+RlCHwlPrsW5ccks+A+Fl2qg4yrjRr84DGG6jIFsmjbVShNMuh3SOZ3XHMc95hnP
96Nig+PuSey92Qwi8lbmBXK1GWB4jlOCxGL3uCuI0wk60yrRlAVMufpMjQCGSpsqd+qXSuDpQHld
4lYbxj5Hmqya9RwReXef/Ms3nh+CmV7LE6A9K4ECLu0Yh7jT6dXt2Zm9uW4vWLALxF+vqOy2X0oB
m6oVoYecQkv099GmybDurQAcuYOJ+DnunJ3ciPL9JZD/bOnVlWAfYfp2PZzERdaBoE91UsmrkmsT
tpwTayfrnOxW9RU3Ss5Lv05bWfkT/gxGuTME4qaneDZ1qytCFkSo8lRapDLJUIykrc04/gDRWT2n
OJ6+eyBul/Mc3/yIbcl9sI55nNDxg1ByoLI1z8ioWB5hPjNBMPP3eEsSxlUzust2qhByddtZdeVZ
BYtTP5GwbDZqVl/kGrQmUvFn9oU5z2Smeft93KNRn7DrjmbMljp4JZYzwbk7Pfv+z6bB7d38WiqH
g/0GrdE1MmZYXyQI8SXwJEOZ0lUkBco11QdRZMhz6/VBQ25auITHXrQy8yG4taL5JeEM+EgOiMMP
gbDN2LxW3LHUOTLzvdsysBAaYsfyaFi/x1TmlXaQLOcBGjSgM78nPKto6yC8XPZ4Gn9hLWIZqZFs
gHkFfF+QD6e2c+QQEEckgRUbAGjDm8UGHgEk+L0ALd8DeGU8e9p3sCW9VGSpkg6pMDJjFgnXFlDc
qrfzm34MYgIF2LTBV0NINzjGWWA3T3gi7hHY92s+2yePySrzihLqlzha0I/iC0n5X/1znbbOuxlN
qx5HYpfjlGJjcEYk+R4653aRb4/zQ83Zdx3RF4h2+kKrdxTdAridmWnjOQbwdiJti0Yr9jLRuZrk
lq5ptC5bhSOgg6xVDMuYUsukxa2louoxkDR6VEGd3u6INx4E+HKdnFpe4q0lOnYwzgmrL8ihuoX6
spnzXKUqxrMLGKA6ze+oZaI56DMUjHN8yBjIvNAhLx3M/naa30P3tNimBIE5iAsBykEpTbJyXyRy
E4FQVNCs8y7RllnPb1padDRJpNNLdy50+IJ/VhCQZeHDZ0727qqDbUEXgdhNKLYcg9PHSsK/SpU1
m3nv86d7KqHISz/T3WcwXn2SQCSREpuaaZJ9L+JbeeaThtmU5XNjRWfLkZzJGObbfxIN9NhADmm7
z6vQgQTEgnTcO5Qf1d4ajNZvkH8bWORoPZRlUqTrp5F0BaiolzkzX/DEgiYBT2qhcV/Q+4XRsejP
pWM+nrx5VXV9RA2x2jVjxp+3dLlDD3YeyoAvUzEM1DbcM/39gC2Mg0Ai4f6X4Uxu3M9MAh0RJRu9
8cJnNk6bbIfzHAObQPzsRx9cmDcOIlOOswJiX0ojplixR6Uz5jRkyRgG7ZZeIndTmQvzzgh0bepC
+8DLxkq/ied6L6QaL2bLg6x9AK3fyWt/D60jfPnvSqsywoPVmzWLmMkrvzvWoO4Hhgt5naAcMJgz
Hs95VD2DOjhmFHrfK4GM6Hde20oymMy/T49CTsXEoJg1Qg6CHG9wbH8YNYc3bj5DbiHjVs2Z9lhX
xObU0fR5gXjsx5FdKYZ06e48ay/zPnYDLv6UHzsqUj536Vr+oYqPaFcwMqdDWS6+ZgSBSN+WfBoC
Z0+GJdckbopajzoreA5Ho0OQbUqU/OMHx2+tYrTTH9YK+90TMDdjeGn2gXdeGv326HLYShxJEDon
vFFrg6LznmliAfdNr4am31y/U2IGefiRZJVSeeVbtFpUxj4RqvQ/Rn8zaxz44Hws6fn8KYgr+aPh
894WdD/hp3TZzyd5Z3htIJaIj7CT68Vg0wld37MM65kuSfJSjJsaZRx7KWpCyLK8GtXuTXr5bj4P
GeDbpboDvuamu6Z3dxOoseGH2q/jcTJNgLJXl3NUmOnrBA36PtUxKqfLZ/POhnoGmcsRVMVM2MQm
RZ5lT3tMW1Zfbclo8ffNMGLcU1QoNWQzHIcyVHyUKyNo4vI6slykyZxAkbKCnL/LcLsWNePFFEgy
DViUIGpgbYTiLvZKal04FG/FyhJLApij5YYZhvzlqxYtLScFDU+CegLHtcjr3FCtx9qsgo3rVWhV
J2EBL6LwnqgQ+ojQdjEdMTq5g3ABl5uUpOLo1QxoEz5rAa3yWC0P2WWe20UewzNHtcb0B+WQ1uKS
XVo1l9k/79kkoGNU4qsVcPZtXhWp7iUYFhu8VMVSzYr+PJTC2fmNYTyqXbcxcrMfjQcd2g1USZ96
IuKkMFHDHsS0DNiQyDnmrVouxGmirQao6tMplcnCjnsZeQ3Lt22FAHkd0jJzovyHprx5k7hInLVy
ypqIPKDPCzpJ+CaBMnPavuZs7wGtO0B+7MWoQswZ8CpagEF73GgDf0lfI9zLH67DJnV/yNHjPhlf
GAoh88rjCblpknxA2PX+33dOlZQH232mI7loen3b7DCPA19PCY1CmBsJLEiXr+JCLKfZ5I5kc1Mr
adWuxo+owoTYvG9Ml7dXj41bt2179ODoHn1dP6YDGMSaTtI0YxN6MZdAum5kUj4JeHRZ4pCeGUS/
HlcICnLxCudarAFn7nslaemK/Ubfjekngizq3MY3TfQO3PzCVKBWBwx2qMCMnUFUe8ISZ/CuenTe
CWuq0wNvZmAfgsF9RzYnoehvCp7mMy1gP43hJyuwCkSVaHdu8kEQth1EG8x/gKumYe6iYED1uuPM
+57fOVWFkW2e6Qaen7hnvy3GZdLshUzx8u4t3ojM2WtRTG72MMU5mzdPiBnfip3J6rNWUTzk8xoG
3qXZt/77Jb4cd6r77EFlnUyjYad0Cj0OUSODUTljaXHvj0Qabv64oBXYW4lcTPMSKwI0Xs0IsizD
qQx/amnsHSPxX6H9wW1q5hBht5i5S9CarkfizrTmMeMzp67au7qgDBh6wSB5PI5TLYTWnz9BLwc9
IynJ7/P/oIMs9uT/wWYtwQOTh2EDYkndkg2JbI+1eRNuNqFACVtGlwNL127f28nwEOK4bJIz6PyU
dwbs59lxWUWCVwRM8QNjyrj08VyyFwXkqzox/KIOJV5oyyhv/zSfyvSBy7PYFHZ/DmJ+MhrZAkgx
VetT1QqFUPtAG0dS0cwu4qTkhONj6wXu0plBxBeDFfIQwB/8HyDptPsPKL5wNcS5vBHQFngef0jP
KhZzeIduQEf+QDFVY2mC1c9HH/y0LgsTGpQC0310lbDfoJipW2F1ykpKvww8dIKymuY4xQpgshm4
PPIk3ERmkjZj1OHyCO9AW4VzpXVWy4+SUOmLbxYMX0av0IpR+T5cIQBvw96UhQ7xkYhwNf56wvaX
5JMoBle0iQIGz1oCFsceR9fphg6L9gnO9kp4F+HdfyHsCFlbSHydMIAKwk1dSNhZ50cLt556BmXW
WzHBhdSbu4+afG9vOB83vLU5bRofr7G4Y6llLwFOLH9B0/Ca4etqd2C+oo1ktwooTlJcuAIyaURL
7B7irsM2wvAkQnsi/bXoutN0EtO6jKE80XftC6N7iKEOj56oeIsu8ecI5KFHNL3KL518g6/yTYIh
V05XAucxrO04zhjUkGw6WlNGJzP2pKjDUtYf4RKeI1R+r7jaICRGnWh36doNyKNtxMQa18ND/oEm
CQ1RMdta6C2Wmf9rezAcE6OAxwR9IFIhiVcQI3mouizOFqZpmi+BgcZHFH2jBiLYX4qsneIn2/KI
GNaZYGLs4HAekz6nDy2YY+dq9sSaH6VMfOdbDOS0gWJAjULOeXfPC9gwUOsogpalFH4pKL/QpkVP
BsAcR1VZkQNsUhOlyahupdve7/kyGTd+3cU4xsxX3SA1/ekwUGmPiIAa7sR3RqtiyqH04dDvQ70W
apWvit2CtpkNSPpfMbqG4EhaSS/O8G0v6pDzS3ZZyXawnOzWEZ/zkRBBiIZ2BFBjItQcEGNWGNRU
R8r7xiKk1v75JDUGgCroOxsfgXZ/tstQKlP40W2k4+y+J60nPPtFdoxVjRjk3ZZagTd5CIiC3TD6
Wi8XaPI6JEbc9hLavvkHjrH1Rm+kr9BAb45K4ZrpJlRLvA00f2MUTTzOZ/dc8sZB0RJ8cq5m49VE
mHb63+Eq3srVZAzfOqQC5kDTs8P3Hf3j/L1/kXJiyyOiPqr8f1yuNdbtYmU3IqipYd7Nog1Kt/xt
pZn5JK0UoUC5sDOel4WuwMA3taO0Q7hgKSXBfXzp0W4Gm7+CU4BKY1Ddpcxwk/tliTtBMy73Qrkn
p+0ybSE9s0+HQZ9a3GLj/FAdNIOWFZi0ntPq7pWiIYx3AorRiZ2lwSg8SWloqvioSI5Qr8BINkwd
b5Zn3naE0vqy99ogdIPy6RoU1njAtUbIDIvMMsGLMZwLMZja7AxX2Eo57mFmWGN12L1qV1+2f8Kj
NgG7IniXZN4MEYsWQy9s12+dmhD2h7lpSZ4zsp+FiSw+zqX7y5TtAYOpQD+chwUD8kWJGrAhbYJ4
E+1ajJpIlEnxXzvHuIzVPMTdIpsyjac21QQUI39jA+e2BiguB/oL/xe0W+3XM+nqEWEyelGpet70
vkaw/SHf+751yUm6gck89gtCT9PJQ/sajaZkmZjRnWDZGyK8MJ2WyNbFDEjzfb2OO94BjpoRJt1w
5QKQnOK+XXEsrI1a0MSEOxx8+DLqp+KqPiWwhPScQYxVAR6Ezur7o3dED2K1dsWDWCRqeiY1qqLb
azM65lvebw/AWI5ancnYazY6CUk9iRGoo6NmsLOL0hg3bpKgI+bni6Tybe6JmjSX/GuDgdgWD9AN
7ijSjstRE4qUlW0nIYYJjDUd6He+UImkRz0RucSKPRvLXf1o1woc+dlZo+UOLbQRMudpiRAa/f/N
nF1sYxKoT39OTiFYalvmQQRxe3DNcsUFGgHCE4vEJZ6PpjKTy6slNzPKW0MdiIlF5giqHBXulsfL
1hqPWn8OPGUXkfZmaPQxKDHsWCcwJJ/mO+Y+n9Sj9GNTJoAssjRUOhPSWHUkvP7HEy7pmbp0VXp3
ANpjUpZeYk4AtiFy8ncywME7eftsNYhtAU3w+8wOCDaOjEPSWH9zOWFz0fhCT5WCTc7KRARMMvQV
zHpfmPWGNB1rvw+aWlY2xCpjTv4YBp0JjSO4z6lPyatl2wVVjkolLqB0wDVmvziIKfGAjUQ0nDPl
+u0DkPVmJs10j9BhIF96/pguqAINryReYXDvcPnnWv/Fcw0rdlOVfNYH27mwZ1ROLETz+ur84Pvw
SkkVfrNeu7HanxUD1R78mqxk+nOkQ+8tUKEuC+ro20gANoIXX8+UqmF0WOGlBVsILMW2a0piGomB
YPU+OROjttiDhZmpbBZnEbK/ukTt7MBQAPdUuX/UwFER4PagyLv7bqxBMdZZVo+wO4dV/UKsszM/
AIC0LQHZ/5BX+ZSBnn0Q9IG8tRDAJwND86YD6cLnPzWQ8kaNqkX67fn+b+QJyQ8y4kR2u4l3y97P
Mo8tr2Rqx02Vo6Tr7Pu5+xIz/vqC4Kxun9fCFOi6b5yz3/zV4wrymknXtOQX9yjCR8LCSDqY+7gT
+M6Dl9ZobS3N8bKeP16w6fWHFLPZsIKGBQZ59BMyT4ZGon3lcHcySuT2YMp8blaxTnp/YZrlXAzm
tJ0bUavw+blCp+aYdJ8H7wkke+PPvrAL8gGaarkaz8dRFzbBniEKPzSmAtmLpv8fEjVd3hOfmLEV
awPVG9CYVo1JbEUb6lIB7c0FZO0fTGpsvW2TyNjAz5x2k4sAoCLvPJYLWeeMSckhWoUupuhsUUHG
2ZxXYuuhTIqGg3Ck0J+eK57rpDyRTfzZhSB4++GyqLGW4HaTPRXuK5/zqjUeELhLZmfjN0j0iszs
74o4A80qNln52kwazUWJDIiF5C3UH/KUb4llN2kg/bW2tI7SBfArLKnZJlZHygYjdyBIs1k6/B6q
cjgslFbQQ3mDMqED3kzmMY5KRTg/F0zrO/83lbL+VQidSAWDxeOmC33qddpIkW32HdtJEOC6PjBm
uEViOLYHRdiEenYDvA96Hy22X5D23DwrXsu9LreohedgeQiWLf4hQgUXl4Rz7iw/PIBIM4XkTHWS
eE6ltsKPDhWLlAL8jUoE+i1UaNJ1PFTaSUuSeLU4hKHxmYsodV2CBJxhH63W6Lo8iZXkxIyifATI
GVoWj9QoOsOs7zBDjPdzela+PTViiwEhIPDc5F0ea24V2c/C23z7uEdI3r2dHZaKBFNVc0bShqss
i1i2tMcqxEgp4drrjjhFJgaS8fbB23NiIeg2oOSxeCfG9+Albx7EUBO8hw40SoinlypAyxO4k/+X
ZW96FyTBUOGIDte4Flinm+dnFEnd4tbA7fKm2qL2k228xvpwVr2OwcVPAovihRVufP0PTdjjUqD4
3gPEOl3hFfgXK0e+MQO1Udr3l+i3C3COQQJqnJye4O4tVvTAdgurS783WVIfMfRB3BF1yUWJSYQw
dinfBiel3dzQYZycg3bQmU7q4aHxrUuGFsh8Yik0HL2ABwcrRGByvSIowDX+a0sqEt5NUROTUyL/
dVExhueSqbTbr3tr7DuIYFnf4uissOME6VLvhQxFYWmC0kvKZe1RueE5T67e8W6HSOQGcvkHsGo6
s0S2+zm65XO2Q8RybLKjowTAlkmxRBmZN9UL8bmCAM/rGGi+EZKZ/eT096V1yaR1Lgxck/E0i3Cv
jWnoRPYNKv//LXG5q54FZOIYgo3nH2yL7v4gtc/ioU65BOms5P5JGo2McKxeS7ayMCka7RbPVedm
1k6DBKVz5g0NKNPJ0fVW6NBDM9cFziPhgSxHs6raWbs4CzqNmtV8OhsJ10Us+poxdglPQt9B6fFc
Z/LWl5X0S0Cpl+1VVF2ccgYorZW3+4imxnngzskBLvfh6+JngxPuIkaLhC2CtDfl+fX11JW3zZV8
uINpNK4bo1c11Ve/N/fkObaaAe1wnFfOmcTXHSXr7AWzHUwgBfDgh/ZnEs3jgPO43nNbe7FHeIcC
lswnz0Z2VEi0pxbOHfqTpA83oOaf0usFExvuKuiQh6vHNbZsO3/uL7b4sFVeHpIP2cunthSLuAqQ
clvRcPm6/eDcTl92q2PFIZlEGoUDUwrVzSCKIgAo6wTu80hj9vnGG16Y5GY7Si6qgSIP9qQOJd9e
0PJvlNptkZeeIhNlLjkZf34QSS0QkuO1KbCf0nrqaspwghlBXkl91N9OPQ5rDCSGW964h/jj7cyP
CvIom8OqJSOmNEOjil0QlCHgh1w9IuP/RC/PPbqB8BmhJLDro/nf78Cba45bWw//zsE8XdMzIqdL
gaemmZN8fLGv7DwIIOuYRNTXZk6J4YSLEvdxnAAiG/K7ir6uoCLl4FvMNQHRBhiYCfxLv3WLQ0Ih
q/4kH+bQYorqM+gNKyKIYPHTO50Tg2/0n9iYrRfe9Fr6shqGLDUpgNQPCgM4gflQwZPhYLXC76LY
kft6jDhnn52VkgZgUEQZ9LOhq0MHOUFneJPjG5N51AomOg2FjFRahPXrR0JWxC7wH0iPzuPr3edH
17gpXnbOJg8ovKTu9jvAwzAQuZ1bP1bf4TgfxcoQ9MQGFa2TFzY81Vc2Fre3XWHqAcOx5PFwk/YB
HthR0f2pJcAAbuCM6W9AryixD6taNqL1G9WdjEQt+aGUoxp8vLAysJNXJ7YoByTBeZJ7aja5uJUF
HvpMF/leUqRf1nOdOTqMEY50X6h3r23jy4FUvW1bcQ5H2jIRiHmuRXUzrkjGOP7GFmAuOv4W6/G7
B5D9Km3qNkrY1fqqMcljxUPW1kSFHjhASWhzE05kEk0gBx3b/uf1ntYUClZROpC00/5IbZKmleIA
el2WBLVKQb22KJsThYg9zkzmrTcwBe/lv6mAFVSR9obIc+Ud0sYxBKGug00UdAB5bXAqU6NPrMB+
O37HeRaCDQCnMsvWGKzrLDJ+1dITE/wNHLW5+MG9OtdHr1CjOv+VJdqrO7OighDd8G7dt0svMRv7
AGkJRQaRO7Fl93AGcP6ceDV3HM2rnldAcBAcf5+3haSa8CtXrnBXDJq/64Z4QROzNaoZ0LjsNmbe
CT5VAjNXvKcOef7X3A1z3JKJb2+B9Fe5NCzyueBgxSHnsuHe3njt+X9XVF0JpWygEEx/eJNff8CG
3hUYtehFCaPSEI/eOOziuzhoLvFbWYsEH33Y29QuPM55Mr65deoit35OSVQweSuL3eE0WP/Jy6Lq
yKN+jNSlZrr8qRCRHZzGOtQDBaf92AJgF3+kPUMu0DdB8cO5gUX15M7NYuyzvkUtETpSByZFPwAq
dei+w4bGpc3qI4Do+qc5yC0T5CbpnFYUpPRiZ6PLI/7ICMb+0l4H0mdPfIYJAfS5hT6uIrXlYzl1
dTmgFqvmAQwhjD80bnZrF8zsunz9SirPlsY70UsZ/4EyuErRBAXukQslRBr+8Z9NmWdtJZCGb3vg
gieKcyEsuv1dYYqAcYL12ZBoYh2afFxQNpvzQrfcTo44amfBELxEc8DTHsEL1C8R6upQbY1Am3lv
y/GAQ0zqytZltTgsWc0M/xws9INQE3aUW8r0zWEfsxtjtPwREPQwtaNlcZibVU0wVAyRVigEPvn2
WoWXGC+8w7J8UKzlmom3otSE9jAZ6MbPO6GJCmZqtRLth1X5LFaKWY14RTI3uxu45YFTVQ4ROftG
2+a15JHIO/Ps06r2o+pxmYbnDVw28jA14/V25wAgNuPQINKzmLWv8UZPrBhxVnj8evuWGmVbbOkX
HY3L1H0FFj6fHFEqqLAkV/OwUNf6nnCwxQ1zHYSGB8HR1A4jMOoypF6KvoW+aRIcR8LVFU+lbrRl
VYsCpjTQ42+OKer5ebgHnOoCwK9VYV/dq7ZevHZd8SyLK1X25O9e13Gk9EZNERYT/keWQkp0rjy7
bGK7pepoDqq+4BvAU1GQkRvCZ9C78Wt360pXnnxrkjVrLN0nIYQxiCtHGirWDgI5mBXbVqEqrk25
2m0EaP2bTh9fvoBm+hlYEWun10DvEQF0L/yjS3ZO9HjE5ytlILp6X5Rbuizlm9CBe2SJ9LuF3WeJ
S8OSANGYk26Pkaq/cl8no99WmWTdsJcXL3PnTUMx9tEDz93E4+uN+NEBh94GiZHD2VMDT7vLP+Zd
HnkrPg1vu8Xap1xLpuHMAGm/BJJKChwi+58xyT1ZYjOUcJbm6ZbZqkSmVP7J3GTI3U3/Do553sYF
7sC4Lakn6StT4+htaMJkgdZjAwXy0g6+8AsXGHrXr45E9u/O/PZW5k/EgKA0R6DC/3w+z4/iNcSL
ozRXd5ZeCMFnTgT80/n9r6LByWmaDfzKxeN2xtcf2SaJSFWCFGKr8UGjfXSB/LFHq5+OSW3RGwMF
4D0gGipuTS4PJ3Gunju1PFgkiYXKuun2hwgZGiQlBIQ+5ed9tZpGm4uGAGLq5GEzdd/kdL0LsmDl
y4bxnfwT48P8wwD0/o+PSoHjhXlEHnLv0y6BtbKXkP6blRFL4Ze2R7Y/8/j4veDRMecvts0qCupH
s8VBaxKrfREtUFCaCRl5BzjoA/lYXlUHOVUTGiY7tklILBryCDSes43vBK/EVAMPS+BuXI3tfLWy
RVYgdFiPYsxdUUveVLsiv/bs0C26GXMdqBadT+Aia7XM3dvDUcJ0VP7HIKaUC2N2TEI8mwFm2Ii/
JDwW/LnPsbgqetFbv2QG+0+g/4RyIaN+tM82Agl8kLGNStsXku+cxbIvb6zuZ6wBqdJNey1pcxG9
4++i5q+iAf+SXZPoPTRHEJW8U0VEag0gh+P7gAcAMXPWptHKL0W8ko/8YSwM3FFU9ILfGNcKVd8P
luW35FVfs2rxozARHrcDSXoEptDqPG7jpAJVdp9FephBkqW+kUbwvRfcznw7mDnXbUsGPRDy7ftY
ZXFQfT4trtFUJP3F/PzoBXEV2p25jXztwW5kO1iB+EEFXYRXtmwtZ2bl0+KnxU9NCXddFVIAWOXP
LJeYlW6nByYn7WoOi1HPTp1li2aqlnEqbR9atc9DdlyfVov4IZnupBTFd1o5Kqmi4fR1XP2ziJ7N
0kGXkyn8LNPWKoQqg4NdyR1BTO1sMFCNXUHkLn/iMRwS+Uon6vcW4seDJ12+Ah6Kb62ruafqahWx
H/9zfFCAKJ/vGa0eH1oN07x5y8kqq3rbBDw6eVT1y4DI6p2uZlk9gmQd4sd/eelPvqc3p3Oj9DJZ
aEpsrtb2BTRYibhU2dB3KpE7oZLdtWwa6leD+XTJWVwobE5bEASp5w4wVDlA69qdtPmrN3ct5vDv
cId7UIOf7l7aAwC3GuU/nKkjOFt8czR/7hNGihNUmEueQqyIQAdz0NJiwGW6s9tdhTF/B7NKF5SV
80pjLB5bn+ol6YZV6bO9LMCOHziuRRde7Ju0VR2ZP7YpnqEAO7g7EK+3KUbSHWacPfQY+1Oet271
Xl+0sI+YLtDYPsvM+wmG+kTFBwDBkHZ8KGuWcwf3M0wCYBrLIvo8BQNINA6nTJtFomPXt/oGOD/3
FWY5afMQVxocFHAj6Cy7Lb1o3M+ZqMULljELcId/zEqXoS3qbvnCjvfzTQSeNMR3N1N8rABU4NWG
5vfbzHmMjN8f1sHQBLa12zdA+j8mYBNvXnCcfWKyd2lCgWWo9SHrmuJjPcDgxfGpcdm4kWHmJ28e
bPeByS3ajSryYpM9E+S0dKx3CM71zWKBvG/3Lsvh5JAn+nhvNlDTTj4rEuzlB1qrEG4VD3B5ApkH
Payz22+pWXb5m+X2I9Q8GOr3Kheb/a6leLpMwUHlIkmD9kyE57CUvusSZk0uw4xxO/mYBWu24CVI
dTvOL9oUAT8hFJzSZ9x9AA9VPFiApUyu2H7837MnCi4GB+/TDBYlsgM8tBQ/8LSD0lKRKvnZLDuV
iNlQy+AtBOR27EwW1mVOA579A6lvc87ZU1pi88m22GJ/J2q8JReLY7NkXrDtdnNH+ps69m1oXE51
lF+R6aobA2tyBwSEf0d7KpJJwGKgGidS230qU7gutHqNIzVMVl3vaOCKq2rBM8YXwgACLtzHEvAI
a4Usl3jUXRBq63gI6ek8cJaVlyACAxW2d+OdCqRF8Txn2yyRDXE6TkrY7aJRAMIVd9kWToQfPN5k
EYwgmNtW3IdH2GuBmaKy+7dTVMQs4f+5+gCXNUx1hjWFc2nWTg8WAizs9mcQ+bp92jgONWyTGJEw
2kpo0TszJExZ7EK98cwi2gaG8gATEe39TLcx2XRnREZ2Ggj6o4/rWBWyuIqJ47vz4zPCBJFRGRRh
bgqkkIuICqBBGYV1oAEYkGi3mVMkHn+7obVjwiFih8ORpFxxfnQaP4VlT2VKhFXEyBuq0W4BBYYy
6THjAb6+CCvp8hUKjgA/BnrTecVWGLhbYSXb7DF8AlIXVgRhrfQti/X+eTF4Ln7jJFkyzztogU3S
76L045w6lW2snhzr2xAAxyrv6Ev1Gpgx41swzEDTLGQzb5Yqzxr8URyJQIQGEXTEwm4lg4zGqqGd
TraoQF2DTOGH2yh4Px1U8LDrM6eQH4ssIkevhvKg2+acMEQfQ0dtzFvQhj4iOhMAReJYvVY7Ce1J
s4zTQ16nGq+G6+3JBuuoazkfW5u+CTf88SnFQ/3CIDt2C3vFi5J4BM1aq3E8pe+7/Pwbl8jNv7dG
glh8cWY5BlHXbxa9iZekZ39IvCBr7bZrUcDqTnlcsuO1UU2idg1ucnTVpd/+I8CphO8BO6JKZ/12
fHZVWW1FdT+JYcLnz38HKxnt3CcXQDOzyAnK9/QCLPkDgkyxU6CNTPnNEJDad0kRaOk6hJJZ8qpx
TETz5co9XSKfvyJvKfQjTEAzaSWmE+I8/EItuYosg2JaBXrYDhWx8Whn1ViZ9qJGduGZS1hrPpdF
+n/dEVQSfe3SruNN42AXymDOfu5fCOkAxkVyTHOc7W6GUFg+SJBT2zZjDHgILFyuFQ2UHMVi7smc
ih30HPvtam9dwJDXERB8/aJ80jS1qGo1cHoRj4dr55+wkDUJPk58+24bl5Yv4feLKTR/biYgrYwe
+Tye6EtSQJFn+NQ7aXPbuhsDViqndAfUo0QS03IV/yqM4dqenmzpfe6U8uhxFOAeidnfZl827cjE
GdotP4j8w+i7pAsndSuonwq12xr9YVw8G8xRREt42lObfQDqvjZYYeOD84uGRGbnqtk/OfV8+yWT
cwKTDg+KHYtohLbH9eL1F5LKXYm2tY8QNEHX/eOqC6mTGaDsdpqNEXYKBRmMEtjhZAScg1H/uNN9
ZeVOwAMiT648ueGzn+TLWFHZ/LVBbl4UoMI002RBYD0MtbwOcQrv3aTu7oF3RUHmvPhfPfhrletz
tNYDJt4oKyA2o1cSg7WNAcXoooVH/2y45rIuyEUdsN7Otiikv+4AQ+jY+mT1h8DIvNFDTWtUHwon
2CpkC5xhjLhEaYUbaaHppxZq+FrQqxUZMvSjs8zdjB3BDQkWhVfx8bqfQ6e1ZwtwNNJjqF8dYKdD
cEi46O9I9WvdmUHRip88QEhIqwdqEXOydhUnIqXP3yCoa7cOovkkb3YvW3bnDGfL+fj7gkoLSmPY
dz83sKhsj2r9uCtkGvCYyxFpAf6aE57XB8djX5FG411Yk3POIDivUomEg7pEAiXeWwbqqRtDKEqF
saVzF+NAC+l64JzSmPrPYrXl/tdnI/DC6dP+2Twh6g0Xv53oKAKhx1Pl10ftTs+Kw89H++jmi+WJ
5LWknleVBWfsM+2y7dg1wm0POklHpU6q10nzhlnSMZiaHfVRDw8E6RPPs/fWs0PHL4O9ZOL/BKtV
0Rf5qly6dy7ZgOpsWUDMQOqOyFVvnqQUJ2G8JLotPzJ9dNqElKaKplHKZHSLg980yVMtAFkOSlir
AIr7I7ctwmiTOYGILK8VjXOqY5y6MyM6+N2QIkWnT9ZwQQGCG421kpWyDAgwpprbkEhUrNE7bpqU
9EHni2TU7tOpHtBJ6eBVX9B0mgbtbxEiNRt9n6ztmPEHBAVKfzarQzuCYxSwQRcFQjCwnwKGGP7J
3ZrNNHDLuUYSkBmi1kM4H51eIIW9VyF3stcUaw7A6N3Qe4gkzCEAVReHX+iE7uu1nO/neLTEPQSI
UN2q6fDtTH9+F224NNnoeZ5Sr1xAqf7f7OfWCxyS3wfT9yL+t997o8g1ynoaE6bM7qQ9uATmLdmf
lFM0Q14xorJty+aohwPqam+souzvm1vk0gecSkrobGyi+iGgpX4ocPiImkWmrTwDx4ySnkn0FEeS
JJWixlfvLDGHPG8J097wPQO+4FpVxRy4pzkB1ewAn0Bp+2X5Xo5Pnw6HwisrR6uH6T9wIQoc++Gs
cF3vKBmEBnOEY3+NB+sni8HSJ5FamIF2KZ4EkP48ZV32VL0dMGIYa2qhG2pTzeMpsjrJkYI0lLaN
EPmCLPeMD9X0I0Q+oUs4RjTbflt9rYFvcS7GgF/1ptqNKF8RXBbH+oWMA389Ch/s7dtEM1P93yon
it+NppZFFCF/kpbyV2VBLaqt3L34VqLJkIxgr3/yjxJQec3C6ZcFB1La5uRpk03XikbsHerLHy/3
ZMvxCU/RHCvhiE+XjatQ/LMqj7y62O1Z6loCjqvs8Pe2vfmQZ+X9p5L+iaDG7F3KxoIKf+deGKrt
txmKDEaI+ieQUtSvUTrI3X77ZFW8dn+PgKnt0O9VQwk5Lf9a5ptydhmY8llOD+WCDMmHkldttonN
IZXEG3XLaIaqM8XKawqffkcR0PgKSHY3/IJT9iD2E6JisF+dNVxm+pKZG7C3MkaBgDRqIlgRjHmJ
CIckR9zlam/R2ZPs3t7qSFgSVyuF5lnucW2+JwjqJw61pnyeF7N+D/APsdtzkMhjK1T/5MY/nMXm
00tY14uIk5v5CuWiZXILCPkxgDRmgCxh/Tyr9eYJrHnUhk19TNtCJqK275Wlbz6sqV9Z8BJmoXDB
i1kJWuf4J4TbV9YTLMHaYtsOzVvo3cr5hG2sPnpO+dQZMUHKRaMgXyLDWAfGKZGLwdo4LbXfEpO8
PYFOEZp662W6lV2uInm36DbCkjF/f6l/CEBm4NGooICGNOn7Lylr/lpXQDAwpqkhoEqYUC8BonYk
WyN410to1uoTi0JVt3DKyfiHABivOtNAyOdNlEad1QFnQIVbVHOUzLSoaR9ktyDQT7vMQf+4kDRK
YD6VP7Gb5Ibq6eX6XyNmphF/5Bdi8emHZqz9x87ilIWmjL+aR+RL9dtvkcPhqBrBAn28K+5TeJTV
4niLNdHlkpupbMyhlsivcU+i3L5+2OCYPOGR4vjzuuBY4gbM1enpTmUE4OSn2VS36IWzp2LqzUkX
nu8U4ZSMMWqSnmDSaaRaJBI/1ounboQFwcGrgp3ST7p0a9smx9QpaEwJ9RCkokDqN3bL9FgTuRUt
UH6AnYNagrJKD0yxK54ur5b49EnXu4quehB0An3pEnmclZP5ejtbRNrleVrhhfgyEj/EtACCswT5
A7pViJqKLTPYNao1GKIMHDCM1geEadLiumdN5DFEdTK38m99Nem1TXrEUdBae+6solXaCrNVBcNU
KaZW8QLHnMrHTBAM/lwq8oz6r2GkYzDiQtINyC9RHWW4IXIdLtzclKL2iJ1kD9j8hvQ+ml8TTSyG
J/FvzTsOegotiDjovciRsdsGzjwCgG6tPZT7eo/zok2iPfZekamMEqgF8qfaw1sZ2fPvaucFC233
L0z8vCfzp8DCfuakxjUIKxg7kOdx/kePuS7LvcnAS9UoUQYeDjnLWLVTYItWdvmtEFzs/USTkPu6
qyWSmM5hiF57WhkJCCjgKU0mbnms/5ogdXGFF5MAyndMKujTZBTyxt74bWUA3nTKrjJqJBwbzI1z
diCOViI6LiFyaVvUROJnw3VLopqP/oROrhrKeulXDQv2WFimj4eiLa9zKpbouT15I/RS4ptmvRbM
3NZNitjh6RDj3hc/WIxA67dmkZyfHEUb+HBQBEoNT3mBswNOV+z8CAsIGW7W7L/3aQO4DbBs1clD
kaKyd2o0QDRjNRpNCP56pVCJF1nBjrfIdbTUz6GOV3udMTQFktOouad3aiPUbGQoqx+yJMgHC5sC
LCF6Mgy8kD8MyH1SMOh1lJNfJEyqy97tExZUnWro0GWDqcHt8MOzgO3ZVb5tq0Odcui48k/lIoEQ
0MClL5BGNGHznpJl1cVdbDUo7xtagiurOVyqDoyhspNy1CIhCLdUGloiiPaZs/eYw9G2Wt8cqv4u
v0TlpCfuf6vrxsMEkKhE31iXrm95waKXHpjflHl3zB3VKN8SCt2YfyOIq/5LT1A71C7v0qt8rGMS
tkKxkFrHe13FKOfCSHI4XWWnlRP4Wr7lN2cfDbghfL0lZYiWsLY7zoBPBIBGS3SGrt7VSYG2zTTi
wAVwhhKjfgso8vLRGAxxqKoOnBF5TtghFN407a6CGc9X/Eo78shrjuaJ1QGMXZrRNDngxPe+a/lq
MTz+ddWwICXFxHELggc6Klz5vetF/uxDmws1JTRluk/VSfTBt4TfpRMY00gt4wB0prR0WGRXJ+EN
GrMsW4Y/4/INmmWqVaTrywEwMhW9yQu+WDiDy7tl8HWI4nkidM2DcRUsaCrjhvX5wRZlczNwFFKd
N6OpQ1SGpvMokCZLP8Kniwm2tsFgKGiAEtaf59OXy3IU1zunUiLorF2RVYr2DeAO36iWh/WTayxg
B0gtkguKhyDYxXcPXEgb7wW9t0MqaybPsVXnnom1tWbJF5IdiwIZS1/vflVEY6YGCJjHdJZTCIa5
hkdTIMFpFEHjBx/jwGXRhtI2o5SuMVYsYKvd8ZJEB6O6pINgsDyqoatFEYUywLgknSvIEdYI4U7m
tSN/+vhIOCVoUBfXobWh/PYMGyl2h5+t90q/GBIs+SJsGcagNe1FFWqtz6vyvmIiVqFXWSWcm722
Rz+OH01Hfub3kBjffX3u/eZQyh2Oro1zZ7AewIySHauAcA7AgTvtROoDvCPQGF0GtI+FqFjZ+zPI
jqQsE3YcqLY/+TgpuIPwXQXxpri8YE98flgCBT8YcveNyMAohamL9ghZs6x/G7O2n8OuSx18feGz
pmijHmtVXXL9mjZb+nKZmtW9F/X21ytbG03g6vVUvrvGLkOsZIJWSni6BA2D3TmjFKDxlGlidOQa
xMEQ+3tfYMDrdFlsU+FY0k0BPUN+AOdYJ0iG+xkIDgpOjYK/ROpgUmpLzxlc7424uvv8HkYm3wD8
5Kou24yFVWBsQh5EYQX/n2/iUkUjHBC6Bzplg5Gvpe9Xlj/W5cKJWNrlP6kZMeq5Qq2fZl4HPHFa
E8/yu7qlh8zpFHx5GMSrgXitQVOO+RrEfjx/0UGEecvCcqQN+CbIImZogleL71vZzvKclu5ZArzO
IHlQp/26lNuFPo/rKJLa4tKcVao6x/Q3Ve5KmjXtHqqWPf7sfn5hy2Dg6uCR88CdT+PpoHhlKxPb
KhlRHgeBJDdGAnyBAaYb7uKgIk0TtVOu4tucROi+Ir8ZQNrUwUnfVjfrYVrCxz18us6osOQUrKml
Q5FDLrf7ADIZgq+JA1On0IMZmnK1C2GQZtBHKoHuLt+QY4IVa8EPNlZpYf1beqfK7qN44ZrtleAi
bH96CFPJNFQnj46rMjAaf5diDrm+R3xYgH14VRXPa65u7YCmG5adNdJ0zgM9PmHaAboKEl4Ze24w
o3dU70lut9iA3XQ5aUtJcaaV/Jmr31JyvKrEaCz8oU0jOnFd4jtuNLJahCeOUdMdbyI8Fem9vIyT
OS3fjtdd1F+KiVsmrsPiCdwz4IFvvD9wQ/GMLDZ9eml1JQIBtwF/qhv1YvDZnnnBrlU+8X853sxF
ym3DeJ1y81h7cAU0N8FMTz1JySGjZ6flnmeykXK0OB5fek74Jbexfrrk0Ok+MHtVS7Gq9rnyfi3Y
RMoR4AYDSc5+B4RJfOJfpH0yBC++owvVlkT/qVgKJQLP5T1EZrWxa+BR4rDJ6oAznJVlPHjr487u
NVPpaEFOBQKp8TW9ywCQAz4e3fYqeEm6omLaAaJO94Xqnlw6l85nLC7d+5zWwIVkS7kbILJrlT/6
EZdlks55fu4zYuA5gKyoekfTv9cwgTOuZPYu3JUf9sJef4EV2gbDypua1DUpS3SW1xu+n5IiGYyj
MPtqUhTM9V7vj4KsCd79xdJYfsxepd68zSx9izvmmw/VsYe9jNpxkJhuG2iMH65BZRL+I8+gbDAw
xK36PoD66OxgjZaC01vcu1ncKa94SS4IeXhle7VFUTTC+d04l28IPiLkdrkIa3+xwNGffbzJqDFi
PZ9ZyVrUcMFbRDO0Dsm59b8GfbrpV4tvCG1vOAQsXsIkBZqLcNOzkdOU5ZPgX5CZEHLueWvlbhbF
GStqwzVpaciaGaAowgWPPq9c3jjgRbnHORXLMlcQo+EZ8QSX5OodVvdKawQdrb8BBie4Op8RyHp9
8vYqVgN2FmF7GMIBTd3Yco4D7ZJj1JtOXpIF4vY4w63f7OLFI8clREilzLZj24yrihwld8gM81G6
l58v53DySew6OgCN7Xz2zrqF3h+oj76A0azuVJt4QLGMtiE43rFY2Wp2/VKK9fxsHNjiyKh+yOqZ
3ilAIO+6I0K9reScJ2iMloiiEShPHcB5aN46wuA6Xb9WEJgGoHl+w8ddu7ETTMCDCLs2SahO1URP
rzh3uY2/JdO0lu6dPE2CeCdiTYBEdqL72C1AcM7FthcG5JxSps2J0TyMJThK/OQtsOkzQdCZHRCx
CZP/TVVRQBM0eOc62pJ8I2ap6ZQ6v4SgqM8Yazxo7Faw12hTekndOAGWfNHRFCj9vbSFZomwYUnl
o21m1Yk3cpSxmUaqykmYC/iFi/ZWfT7Xo/67hmWPbfp3KaJJHdKJNvHoc95ySmR2rKDAj5WFqGll
8gwwD5gETSE/Cf8aBLjimH9VQ0ZC0LDR4CanSS2PCxGQBoafns5gmrQcnjtQddDXqEnEd9kAZfaU
jU7IrlTw+tV0JAj/r2xk+Vd21NvpkKxK0/4jF3gNEyDpEDkzhGXVB5J05l96wtRmqjUZATffWekH
AeJGaaEcLa001jFD728z2Qxu6O1pi2XxhgmTbLJD2cgCbW0v1F0ENGZl4Qo6gThIkc8rmDe/OVxC
eIr22NIXROTl3egH6kRMxyqBLBBEgiXK3RrQzx+9WvBJ4DtUIFOiBCh1F5LpFlfHwfObCIqhp31S
u4x1ueOHqXDrz4ys9aZe3ZGg5+pUY7+6Y+SLqEKknl0p25o0f2G4JS18fctnsiLAptcTUQ1hXl7X
LwuPnSBnsBCMtz5Xl8UB+kWBtuDw9uAtOgAG/wRMl18paV3rMLT774RIw/+Pg4oaK6ccC4Dangel
H1bQiaS3DfYJvjlkgb5ueXdlmNvyCABa6ZQ1Jbq3frZEan70Ks/j57l1JjY4sd40txx6i5FXPTPM
cJGCTNE/y2p8uZCQpT40dg0YhZZ/rS5uq1MzuOeHB+vNC7QPRg5hsgXCw0ZwdN2DSfYZz6tCbmkh
gB34rINnadnUyAra98fv5arXqrxr95bXOfuqrMg0xMFMA4fIPk56hGHeknHE+AKweLGSYt3HQzxQ
rlAUEbkl15ORjIbKVXJgkQ4mhmYtMWuZEKR2k5Dnu3Hi/wJM+3+JCh2vns45z7gVuWUKzMYooAHu
LgLM+KH//WoXePaPL3WGQ7PCDB711Xu1KSiyDziPr55FYiDS2cbE40opfNPCYzmACNhdawr7M8BF
t6QBWmVXD3JilJAqmihVgge1W2jpbN4yCcIsGAd5PpeRlCWmo1RZQmn76P1qFeb4G1Z/pkQv8Hey
XFix4PMbF2sjcqd2Z41/XPTbvPAZf3Ubvo5jvExiO12lkHdcceSjoMQ1uQm41DpoAt6d998z3153
6kOqgachFE6YGBwZ9hT9REne1p9YWtaHr3led58wrafyBoC9fv7/mIG5yg286lbe09D709xGV2LI
loatfqL6iLvaydxL09pIUY5f0nQzzaOOXHzZOuJXJ4+Xm2qLPvKS2VFQarSyoKVO2EquMDZ+Wly7
D2sCqWuwAIeOrWjgaG/r+7+5URlKi9G4nVuGqrYkBUjhqXYpunVU0eXypz+2EdyigWuu2sMBWkGu
QQupN/rZj1H5EA5cENDjMMdpxeeluQjKUV6ZCAU5xMld+8MP5l6g3gzX6y22V4TXmliIKujwX9Dw
p7z6DMmCD+PpSzfcjWagsdIdVLE/35Mg0GzXKfTTA4gOaasQkVLqIs9a8D7YSvpT2iPZ+ncXAKvO
+t6vRlfkdAnXXTKtlR6RHPzbP94g6hrfzFd2/jb8qFso4Xjd6GOlbKX+PQYgQ4CQXIeN53b1nzFi
rp8/VHrNadSlqBNkCXv5o8ZSrHYMLk20+BKvAdb2qw6iJvj9oQRtBByVpz0vY7XRGePmLV9wbdgQ
1AZnwlsUqHdeCuAYqrjjPez+dhD4XRcLwM/UO6rYH/CMu79myuWsglSKNK5K2bB3v5NDFGR+NgtK
pEv1E2WxBpRgmZLwpJ4FHcWZ3U3AiCVnnJusAr+OyziWzPPshMnZx60oGsZpMS4X6txUVMwpWW/n
EIUmoFmkqqBhCHf0dqXlOaqoOJG+uGpY7lvJzOPqri/xv/o8hPwO8hJjfhkIx2OLJcxalwZFhS+n
4ldHcPEREM4RATeLNxtkRUtS/qAgEMaPXP8mIcC2XK7MUo9v61pm+zYwPjbc4p/PZ57teWkl2R7N
7njTovqnoaWFJyCA3vC665EF/kJgoVEMqsNzMzXiKtK2jfYTgImu1pA/korxYsdAlVs0PbGj/vnX
N8+URBjBRwOT3Ah8i/TzzeO71Z66q01lNmrfxSQJ9hQUMsHmYUDOZ5GGE+gMWL4U1y+Hv4BeNmoD
UD9KLCJeZXPYcQwO9PfFyxAghOSDo/hEGHqIWAONC8eSxenIv8XTGt39B1z+RygMEAm+8jDAx6uR
mnQg3URqPV8QHKvKqZeGGDY4zlrZAQspSvTe42kjyLK+8EKpZsoyZlq2fMCH7a/DnIHjizpo8dCZ
VOXvtb1pYhiQslLmuAVgUyyha3U9GqxKD1F5qjbVEXJBd+g/fx/d8aSpPXvhdPpqBpMVfqvlll5G
2jhdGKtjeBkpbi0R3WlzXPCEQK8+fHNRDDFJ9olOJtlJgX54HnL8dFYSwcvlWZUOuXyp4VMoES+O
vtr4GtLcNkBdVvB7ZjzQBYrMyW2AmNHIQQm6euPB0AMFvD+FBi3WhzTlbBz8YkEtyJuH1aBpjdsu
h8g4eQr8FbBYvcbStlNSsswfUSJEZ2H0asXotu2S7ktoXe6speFnqDu1XN2A96KHa/tL/povuNjD
hJD2A34LeGCb32+Yq51i7JmDHPHotHF3oilrioBPju2PUE+AnqWyPbmt7+tOxecgCIHNIEJzETXJ
yXMjWE3VG0MYIv/k4m5aC1/Mh6DldfiWARkrxI0RA/THZqqvKn7gTZDMkBuokIVgEtZ6Yeo0FTxj
kXn1N90eLMPWR7EXD1LtuJaq07ljM2J/U+0gl/A1sZBy2kT0pFdX7Mnao6GO0gI1dvzeIQqfdgKJ
JzcrE6+WbG7TwZTBVWA8krvMT9rjS/ePnC9obkYZT68dM72m6arSVXDXYAzuh/yK52Ob+tKu1cPV
NRu+D1K9lhlsjauFNB1yNlDF8gXlwU7gV2R+ZH22T28aMnohh2EaY645TEL9dFb24RiZCOqB+c68
i+R5X+MEu87ERsCoE7Y+fDydwt7HnOI8UBUbAFwMJlYWcwOZa3MeqrloqatghgnixWvvucOQOrfZ
0c0a9Rb6zJHp9+9VrhqV68ZeoZ8kvp7+3mOc3iuj0Tq/bEKrHVsbyevxJSMF99LEQZ7YE14T40du
cOia5P/H8r23o+LE87RtXzws6kN1QLsnkYqSDzvj4yp8OX/ajaSP/oT1lyOcgIwaeQ9y3f1Tx79n
sEFa3kguhrQEVmHMcUX2jjD07vpZH0cX40Eo+aBJSs6IdmBjo0jP2KCfc0RBLZIncf6ZFaf1H4fk
+xZW2l6wG1DjdkVQNNJtitrAUPtIeslr7auVnRDHhcwttUOmQxSGPhvOY5aw4G+xqDWzaLejBdfY
vmDpiaXe1LUmqd5sp1Juwe8fjk257pbnSyLyyMSbayAnAtJO2HWEBiSkdBEpYN6AvZH/bCsgOzxV
83X9jJLfRavCEACCiHWrMCZEDi5PampldYj6rxc51FefRlI5RMbaztQ6dant9As+MbvNpYyIYv9l
/IUHlqk418+jw/V4DQs2iA2GTKKBQmps/YALK4pLB0nEp2PCII2UP+FVcgt3Wg44IhdVB55Ni+0H
NccV6o1g6KyhrQKzf2K6PvMxTayJcWTIzWI+2VFCeUIVB/wZ8nAQ8aI5xShuMgYNpq4pTTetw/1x
4NVJZ5ItYQZFg3CE8lClX08At7GFU1NrDTl31TVPtIsIQTCS0ORlbHnmhjiyk14qwp9WSPQDn7yx
jM4NHah5CxdfABO14B20GMLxvcIfrlcB/1WCz3TC/IpfI6WSQ+sc4mbdgP6t2Tc0V9hOnRMRCAkB
hONrL4Z1BPoT3b3RQUypTaj6EYwrJlEupA3o33qERD8XJCwg1oflPt4ppf8iqJOczszGOPPQwWOJ
4zczNveV9mKSj7KbEooxB8FwpO6JFNEN3iW+8hbhZjTUSGuZoFj2VxtCZbnq2z4sDmjfdR6W5/Lo
116TYe7xGf2gFzECw4Fdv3rUxC5oIuZDQNV7RpuqQIXWZj8AbmH59APnEwFsite97EldYW04xLxH
Hh18zIvtU/QFC/HE0Gm9wQlRu8o11mYrlEL6crkUE0wAj+9n2+gBN+iJ57X7bqiddgUcPlpYOME5
4xmOVVfXXh0WF3nzgLMMtDgNtDcujUevZv29wRHAD6YPn7nWfedkZNn7rEZ0Z0pktMladEswhXTY
efor0zm0WiRLAHxHUVpGZGfnw4bgKaH0o2rV/fiFdDF577YB0IS0xNUmPPScCP+u3V1E+bcco1OM
2yNEj6Ni6mRL/S9iPAnEvi2a05THtTEZKb9apCsRGQfrhbX4CZ6w75R9jWKobT6VJhGUPetRxoq0
fYBpmmUo7hcQej418vGHKBqKnCPHxqK2+E2vIQ/BXs5DhZtUsX6IGaAwgB8gd7VRNLqDxHksvxS5
rqxjL4ZsQKDl0aFRzNlviIQyyTIcK7Bfqy6XV6khfQsjA8ngsbfQcgtNMwlK59IhlvEpIZuXfVgt
nSm+h9EgafF0hHzhyBI3L7pBA16Qgyxjlnx7ifPc/gYgxWR9wDGo1zBmMMmHdaKS3sE1LLecjJ3o
U+ls6T/L3znLbsP3am9TSA+XbOUvHZo/GKTCoXozmOKI5Zeh+KFabcrjEfk/Ay19W/L98fZP9pOy
Jz1rr9f7Qhm0gy1qL1xhj7luv/QCk75l22QUTpR6wINYPzFe1GoLyR5z9tR9yo1KSpGIwDS6LIZ6
XvbC1BTU+1YbzyeMJAcJ/t0AhYjIH5x7TB+F4jiwYZz6HpucrV+8Dq2ma+AAxjGT0utCVtL0xddx
hnYQAIEUxdjo56/8I9iX3jYoa5Mlxol4uLXQWazhD2rggsLu02ABfgKSA28mm4AOFX9Zfd7Csm6i
IM1xgzP2M0HtiJX2/DWHZcJqxj6qUF0d43ePlH98BdLxGhpicGWxPPMpvqQHZ5tlcOM3SsOUhQCv
GIcQ2xZSwLN64LKacu0UUp20EdpD5Z1nlC+OFZr0s1IXQpPyKpxArLGFR8EJFEflH1zEzk01o9K2
8LjNNilrHyafzRYwcX5+LqIFnONAkXdXJT69FRMY/4J6IJBHLWnY8vec3AScdYb3NTNE8sQXyZG/
7NLPnxmYyokf6/F3mIMYM02SRuebtjFvIJzU2DW9pSgk+gXbFtnYX7aqDm91cQ6E6h3yCZhhK4cg
1QlXtaiICkPoMhzFeIE26ivXMn3k4DP/gKed82YUDVOUlr2MnGD7B194JvlpHbzJPn7vZ1w2Vgy4
78qNeGaB4Nuv3qJG7XCXgfjDjzQiqUTwSElMigpVP2CIxn+Cm6aHrE3wIu3zVXU7yaLYDwwNaKui
rL3/X6zUtt2hDTOY+Mc4KSxJ6CUeC3E2octS1ea7xN2spx5o6tqUSzIsAyz8btQ3zVKodOg+41YB
Hc0G004dyq44OMUpflVdPoMeAjtSHiR/h89b3degeFwHLpL9q7hE+ZGGGXV86zO3sS4wiSEuteBz
TjNKILdQQlhLXT3YFjUxZ9e3MRDo2/GxHYqRMOR1IG9E6/BlOPDH3CeiXBFzgBZV8rKcVHFrx8gu
yk7CT7p+OtzNiiVLp3zXOyDViXA8j8wfAGenEYimlAfiKAkGOJ67Qrs46CiutP6r3teolNQFCvHP
hM7CK+yyyfvPK7SexC1nzJC5ZvgSfrAfYpH1UlF/1VRlHvyJiEiVtI/TbNd9x0ICPeJJlLdqYTil
M+M0PspVC5OxI4h3P4LXjUtzVN4oVXVOVQrMZqLXnNs54PSAyU4o90CTvKRsgwSBbKAk5wetZgC7
kAzAgZqc3n4pb4kkNfTwYdDDPSdgJZa9OKGzOJ+NaaiuFHWdrKasV78+CnrQ9pB8igu897rr8kNe
3ugDo3X9IySSSAsbNGm+ZFX5jBrOo4V+cn28WS4EC/RLHfiTZ+51PFPzmDo9L5FzlXCtHinPmbDv
LQ6Lyg98nWS/LXASEiInybhsOPO0v59mwVQeND+e71vVS7UV/I0zkMhs/9T97owHeL0U9pmEvPIT
wF+QCmxV2LtDpv2BMCtVWI+w8G7tke+Hz5EOl/LfLBd+OsTe8qenMSwk2OlKwPjJ5Dfm3Eu6dsY0
DT0juCijQJHNPAlZ2xWG1x9caQVz6LAFIiV6HSQwlfGpX+yaZO6XTCisioe/qXhxdo1ywy1kvLNe
rufGIuQyexWfXb7t2n54qwXEmzfAbPwEVu4frPbUlr8xBPSjQcXSxHiX1KNiwzmbFoWDY8eX0smv
kTV/pn4vY4DsvAuyBbmmmsuN39aq7eIGpVbmgaBB8wxUVm3YVtYVX2Wj99x1vCXJ45W3Gk1BwSWw
CoEUPuonRXPeBwBA35QpZxyMMjhLVcch89llIhBb4ZY4uaGxJ13f9+R6KSAcF4TX3SogKyYyp05y
hzSk1qL+H63p/ARZIhmWgaBNtingWj7d3DU1PBSg71JEGIqKWbKgSWIff6DFINBFNNVOLXtYNezw
iweuRTsylSicVFHIbZAAGVYtVqWY6PKI93JllUMejRzGJbcqFR03CgCTcE3CLF9DkXJUJJumsXpn
bvViU/S4QWxGFaqbnYj1WH4IbE3NPd5f9Ys7Ok0QSE63qC0aWNpF2udTeYT9dYccUkDnYgxw2Nyl
ushBxMEok8YQpo2eUqK9YhwiLkeGUar11r0aAeJ4ul7tJiO84cGj8Z1l/Kp4fJZIGONi2B10rfPp
SzAOe5p/XYNJnF83oLSc+V8EvXEA6+L4jz9lWlxZoXPQa77rERsbq0L/iHyAMNMyYSA6aaP3vXiZ
7soCD29OnUC30mUsnZ1Nqqm8kcsm4aYAr0ykKTUUvCTI39a/XvXIFvIWJgejgN07VqNGQIZiXpuo
kBf3/CqXYbLgPgppJu6+I7CdUuxTb+OOQhVA5/EhS6U3OwHah1vUaMox1N5I9tMho57MyOgiShg1
kEV8W3Wg56K9f0GQmISpFfITwZoF5qMdcJVRfVQQ3kqjgyJeMFCHnPxyGZuVO+NCbvC6enR4QQMq
7Lc74Iv1Mzcm4n4lfDyYhDHWxrRyt6V2jOi4UlhqB1aHnB3jxNIxfWHv6rlLkzl6irxMQ0HugUQi
dBNFSezP3hxiEUKkwK/67IkTschSyvPdwj8av2YuGZU6EWK003oUylw9+6+BM6qKwyTL0Q3U99Bg
RIc53H8KLDhsOCUlXOWmSoQO5J3l6ikti9FCh7cp4vPgpiTIp1tdu39lN5DznRZXfUHR0CW+56HV
E1VJqxgdoEaWrpPL8XjF0+KmJRHIy84fMd2RBSCYXRNkQiHJVg2jHDPLTeGPePEf+fhS/jCCy2Xp
6XpGSsbifKf6VjKm8CfUcXwTmMsYcSlaZr0jN9ujvh4vGZOQwp/IyLhtgvwZPXrtUwffVVyZO6bA
y4xhKxI8aZL5swrgA7hTHFMtarTeJivDkCqOJOxaBcgDqAyMfvr/J5KgLOs9HIAk4i7GRP8akL3E
mhsaQ7edlwmLJ1+dErPjGuyB8phFlvjhQ7tzjRQWLEKB67yl1aozf8g8eC9uguGw3VIr+8J6uD2v
FGo2N1K4Uuha8K+0vz2r2KryUusOUsDUL/bYM9DHfyg8uVxrG3jGoqPUunxe23kyO/qyQmZ/3rXG
o9JBBO8dBDz1WWkhthb2kMBae4qVTjEDcNCr6OraIp/wMMrMehu3YvSexVfF/FEG+0JXFnwhacPq
RoUcokUWznuhekYY6cXcvU9reCG4Qup0H2RayGD78UqoMduTLULHki/utlHVxL8jqnwbzOjFt9QF
8APSXv4HagFQYpmXK3FpYDgu1xBFT+msEhcFnGZiQQaPy7nnx61CbPkmJAlRznPrc+b5rhjV7aWN
zIc3M8iivIBrpmhDfPqBTaz6fWOzidYWtRP61x9WGaylEvL1WbliJn/yvjY2PVFiTJ5Ti607+Gpf
FGgGWt6Jb0nfO7xLoyUyPYikuBY/3y1upx52al6jRoT32CFoouG+Gd4P6fUuhQq/I1utHJbh1Oik
fzmbdtlCp0JVw9gMZTvdRymdPkwf+2mY+kvksOO0mpAizhPna9DbLOBt4zqU5h2zhE0BzQaG3kTE
L4MOvEPN+zcKr0i6hDhjcgsD/H5JEeouM7k8UWyxkg4Grh0575fCsdHi3OOZ5O2QfJz8vdVKq4Br
uErUzizOKhx8AeyTOjTz7p6wtRvqyLbF1ZxdlMVuGcS63SvTixFW8QUezah3VhYF/mDQyMSkhzgd
DOJ7Wp8VsIVKbwqOyFAFqS3d0g5fFVItJEwJcIylsC+ph5SwF5xRF6I6tinFg2kWnrM0QnOBrnit
uNy3fIeQowsobS0Tghhc/wFissNZuvzsB5ZEBt4ojHOj0H0xsVdvfNS6ec5ZVx5kyxWnnn0s4D8T
WPk0VfGlx0x4lc+Kg7SOahNcLCLgOZYMXljDr/tWeY9FJRXxTLtu0H9eAV4guIOMqWOPHgJti4ig
UOnoAlDYlI7sV1Dl+FrybgYKFu3k/fkeUxCy737FoFr+1M80Czr4qNedETIuJ1r+q2nxmzO9D01y
WEbU0mImgfVZOVrxF94IDq9fYD6C1/Xxvjkr4VKYY/AbfZB7dDQYEp2xDTf36vhQ3CSm7XHEOpwF
dbEuZaPrviAq8kcwcRbFkAhAYh0uwsoBdkc1FDGK0Zgx1EWcZqrCGU0u+hb/39Ek8ewp/p8mG5Jb
J3z7izHwWzQ1vIObjoqHSuIHvb6sH/wnGciEcD8a9bi3fGghezDERcJmnNXgU5gsnhpjshh5DPvA
QA/i9n2hILtb5ikduh7lYp4/mgFEzjZotbY58JnzCjqtfw5uqPRPjxJ87F9cV71cCQjsB3gwvlM4
tbcjbqYXDCZi3uxqVUh5ggn4BSWA7CVXrRp1MynkTUcVjg4Kf0ONvfrhFdzHt+mw9FhKOw+60uVV
e/mAdJvYbrHIe9IDlGlsPQYWRtKvpm6PuWpq8sC9PvsjoG3QG5KF/ADFZaIVutr4rSo0oU1pknOV
0s7EIU6G3BBNqWlMRLIjHBPIWn9160882Oe/HfCdMHijge5aWPvTEWraifR1hXTRwqbbFO2QVYsl
9k0eWn6BMdIXZcsJ8YCssd24XahOI90PkcLaT4xtC8O3nPMFeRcfkqMwePK/yQXD/Yb2xNkoWuLp
mjHyjuwdtZTGrMe4v92u5WsFAv4JIIvbP1vsc+ht6e4JoaoQfVs/ot9ta6E5RC6Qc0cYamw6uJhB
loB5/PddlU+XCDrXzkTGuPP5EMMwM0XL4RsoT0l2wWl6eqiyxI/tHIJcuKD1ZxbTwSt7o0PE75CW
wQYdj455oKZZjM84WuJtUsFYhzb1MdWIOdbH0vaOEdb4wXOFxfn8pn26oChBHXVn31Fi97pOM+i2
DjMhQ1RGcGgvmDtLmcdrr1eBatHDKByemIra/C/NAliCzlRawa4kRYyEAnujeDNJjS6KzhCun6Cz
dHGNXWESRBYERkeiajFqbxKlej1WutShTnE30YOBfVxmMyyRmOCn0bo1KlZtKJqDNoFCUH9yTIQ3
6JHcob48nUgRE5e1yfP6zP50It+uTKNeux5NEeI3FAmnFsvtv0jOYXf2zFbLRmMdqQa9SrBrAbyU
EytYrtZip2sJGNOhQtHKmSJ+pi2dhhCZty1I/+l9QyTZ9vI0ROectPDC/ApUkc9NmWHuVPDCi4Rs
Tdr8aSVHIwHx7b2d/sWUUOIJ+0rh1gjarILUR61G/XkTw0/UBF+MPxoYhz9weClLTqxqKvlFrNvY
SCDPI7iQSn7oSBr+InVTgW8tFOEiPVYQROc+MDFU3XtxeePWydNaaGVPhD+wDzPjnder5cVzsp5e
JjKm94RJe0CFfKWcgd3l+djvonQCOSlRiO2EOi1TvbkKncD85nN2QzTbb/TBUF6aWoOgyVl0plDm
r1iSJePCO8I+scTXFEC0Ka+VYcUlGBA7iXAmOu66w0aZg2CqKlTUBe0mXnmge5x7VNxOT9SEat77
xElN4wd77LmJt3ZcgFxontm7Z9NAUw0GpWsQgT73EJzTBp/B9e3K3yJdw5Jqam+H60g8gnS/kVeE
HqwhXaYOPWDsM519LgkunOae6Iep/VdD/ve9/q+MuiStNB2oYxUbM6OQN5MmjjpoKzfO2BFhAApe
to7p53gb9BuEqN4Gi/Qb8FIbA9mlwn/0TzwLT/qB8ysz8+Od0wbl0rqhL8ibPZHX9r1iMFHkRnRk
aqiLNuO79QdR+J9pxc1OZpBG6b4maZlf4I5EvuiUEQpUh7Piz/g1WDEC6unDDq2TRFoB4jm4BZBN
rm+JQ8LW+APiEE1yhS+fy+9uTA1K56ZrwQ79hRlgNs5aKJLs3f4cR9P0ufEMmZO0SWc8SNCTop1J
gltRg4WwHrSDsWJYq0AabdnvD0v3PVvNnQL1gq6rYCWNtJgYV2139lNOWqCch3AsPUl4rMmZ7Pj/
8UQTWj+RRpQR+0y0VGbfUp0xbMZJVzUzeB2Yj+i8hv+PMcVA59Ezob98W8cCfB0WfWj0oRs3YJtg
YRcb9aRxRsxGhJcKUVuaFCKrnk16hlQCWYpBz5UKlF0o+jEGwsdmfx7y/+NNlHp/Sx8DscPR8j6B
iW7vrkUjrqkob46zXysWg4CYE/hAkhkJMupitRrSDgaN5KAi0vsUWL7qR9Il5wY5C7NRuu91ymYU
ENdvilPAWF17eCCyj4UocKb0Y7hE9RXbSV3aTZ2fUXG3gSd9wJNCWLm/A0jyVKHYJYwm5O9EOavL
uQfweGZRN58t+kON42bhpKI1PxT1HyNyVryi0udu2AqDay5lNkberB0QrQXIZMLRE8uNWFL/RWB9
di33yh3pylo9xVHtjtKYaJkYAgpJNdc8FJC3PZQLeeZzLbc5iDJJVDf2a9AVPgEQKIzMBW45dL0+
Z4BVcVoMckDXs7aLMlV/LlJEaxZKk8a9gaItp2J3oBJYV8VBGp7OoS24RnGGDNKI3JzKqPqWcSWt
2sJHRWBVkwDyRmnVI4uI+CKabveaZWLH+9KQRALCnXwW9Rd5nR/wZq/JZY3PMlfHlIJH4lf1tTEo
inoYdTdbZuMzirTjOY626UhSWmV88h0fh+lFvVTL9CbB3A+Mhxt7OeFk3Kis3y2z7ikW+gNMlKsK
Ddsyz3dm6TrwZNa0C4MU2afm/FeabCnL60io5V1FoHGY5G7emYcCIeCVSn8CbMDvhxWjKGQrdqdA
tS+DfWzBVEUQl0rINBUFHl2vvny5rGjmsEp7Ljp6NiHijtQlHV/x52GCFgQUK8nwt6xctPzBFxE+
pgjEyDBcKU6q/mx8so5mRD8KUqgqc6Ve96G3YP9zP9C2IOa8idJLfnlWxLjsAnjVoIGWp7MVnS/j
bbI4gMHvQKGpKnY2FRy0q3qrKae/t1WrwkLqhDMazrmZd9Qheipaa3wihi4W3tGzBwq9Pg/sSz3Y
tyS+C/wSorhrTQpri+xD8342FGjpWNXJ0iRzqmav+iMySKMtQm6r/VrhoyRoLqW9hGHkeqGRvJMj
H7o2aAjAmgut4Z4qVvYC0amI1pUzpNObHr1zpIws7REBTClPuBjge9FGOXG5wsjEEm/OtyU4iCz0
DQAA8T4J+gGU2YWDRgzC/OQm/YOG4PAFea7JnWYB7GfZ1Py8SxRIJpC45uI3SQY44QpNllL499NB
ArCK6I9oKWYfDh4aA+YeBWwnhMi4Do5dDBEZUq+SpbgzCE3Hf4gbhzAZnsDNG/O6bGs/2JSIyU5V
EeGRjN4b9VYRyiuAmsTI/hqUbiGhnH0jtta0Sm7UZ5q/Eb+sXjmd15P/rShs5DH3xxWIc2REl/m0
RhLbYFosnXJiXyXYJdOK0qj2wIga/SCenp/3e2+bdsgMOPAEyBifm+M9VCB5QxvSb1v6wV81X9BD
3xO/t3nqc38XcLs9vUFn9Zz86v5fY/P7u4Pnkho78cooqAB6JR4mmL3JejctwN81iBqXvP/QV+B8
I/w9Go4PZNLfDDKmaJOmLcxAOPQAxsk303acUIU+MCBHIlhytGEBqQYrdt+PQgj5Di413p0DTSwA
60mzvSPA22zD8w94y7YJDbZXX2dMuSxwvKVB/X4PjtestFU0pJ1+ent49BP0RHDmu9CJvukuDLCd
nGtqM4JNNxZOW3jllBXORuxY18SAIvVgjn48Nj+xS1FQtCGfP4SNmds6AfK5uurcSUUrGlw/ERBZ
WRTG/NEPEga3PU9tihmOWGrJkKGDXo6Ph0IlrhlksBZL8nI/EyAqpfcCM9vv5cuTUrbLodmpkl2E
o0SqzodZIU+9iVyxAiIHvU6xsJBn8oL6pUs805WQVPl9X8W99tbP+BHT5lWSwemEdRtmOQiV2FWP
dVtUcs2irR4sA+3xvsdrkY08A4W8te4mQW9PRtRqM7YLFoENN7t4lBu2b4Z6FV34Pi07EKRIh6Xh
eHZQwxQmpaWgoiSpaKFsD021UcFeIUrxGKr8NE9xpNave9h5iXknQIXijUcdDJHAFR8LENspIBSS
+j5WiW2volc/G5CoipD/K0zgcj7YtXI/3iuGOn4ENJb5/QHSSyJ+eSc7K+/HXWqDl0bVdP2SYOah
fT0f7GWjldx3iVqt3Fow4I/fmu9H3ln2vEhUlXkFjCns3+YjvyhhAIiL7b6ja5lCx5S+3Vs7MNzh
pULOEqfqPP1aBadwq4eHcbj//tKyAgn4sV9DiWczevcMNvzcA/s8Ik74dTQE5FdJ5S24dguvQoAZ
5BzMRUZCMve9AtjYRNfAMf3v2v2BJYMrIQAJsWBuTy7s7iMruV/mWsdKIT8222LFlT7N7VN5WAd1
o7HrkZ0buZN5AzO/ozn44Ki1tBnxa/2MbaAfDdx+qq9maww2X7dNQTRKjTZ3OEXDY0tH+rbnbNQ9
ZveeDhxzRVBcTQa8KH+Hts6flGA3yibvU89+qGxm4/rM4rpFpb/oGoM+1txkpvtUtUg4WnMqhNST
UkOAF10ri5EX6Vvh2Mz6r/ng6+Cgk6xAOtTobAYGymYc1tBsLyKaJ1JUKgYkQ2dTBCSGhyhKHuWn
CZXJlhRWj+xLlrdiKIW89p/GXGipr6yE8n9SIt4U59CPPrWuDCzo1PDqsXLhc7cp7HcOtMbED041
KAxNc/lm0j7UCGko3EPViReJQxcMJ37MXLhGIjlde2t2W7pNb8eVO8fbo+NEdZ0Jn7QsmvXhglGj
i7Fkze6Lch2FlakY+Dk3MSvn3QKYKWgm10wZRf6QnJ7L8jGePC2rw5Gcib7VOHvAnQM4Pem90BTS
btn0265yGKi6JdfYn6XvGuJoylnuntJSksunNdYH+pZfb2vs73wT+1SlBV61fSoorczN1YxI8oMU
cNJoCwooxItw2OiWE80T/QSTGBR+kWXS49h44A1HF1NGxuuFFqeC3i8vg2bd1buYYPqzPglIY0SB
Wxm7N/hPwixC7jeDdzfeN5QvhSFMaawMY3Rx2ZGXnKzSqq8mRJaC5aToRH55G5dUReS5WmMOu2Jb
nhdY+8loPnxTWWjKHOhI2L9+I3ey9SDoZrfVJWLuV7g3iaDlvUX0AfkEy+h4vJ1OoUqeeI6ti2to
3ic8fKjR+CGwzhmWiYBboYjXz8JcQTD3fcm/5DeeY91UczxEKfw6dzP/aAKkNk7AMijE1w3198/c
S5wTClzUvTbsBpV4s/U03AuUliqm9nJ2YcCwH24E7OyPx1yC6hEcCbZm1qNPemZ3mwB7Ebd4Ww9S
5i/BHix8Tl55D5hGBJHJT2mJUtRtN9SX41wec13XAF8G1TxZGEjU5EWw84gMiT2lq0/8XyNZgfJC
zw67CCJIUZrBd9WJeRfVgBgEIvkceN5IwO/tvPIiRXMJvqPfOR/3O+RKPNGSTZdAeImjzlBU67Pv
prrdtXdJgCnVUMrgGqi0cOp1EdNfmwrUsRhifK9nYYZeH93fs9m5c2WxaAbgXlDPAwUApMJSkflg
uCIjaYI9gy+edYtoqCSsmJASOdNf67hPZVLGizIEk1FNOjmWUvOQG0DjoHklq48kCmyP0hNvV8Y4
F/1RpTuTlMz3FGfnAE9fCzoTjCYh59/OFyl/zccEyzKydBkEaPXCsXO08/EvTSqx4vHAtfbmjKbe
UONeczpE46S4sleHxLb/qCtBwjVxGV7IzfzJARDCGJ7FRUyxWVAvJp7apxuTOJ4MChuWsGqXn6j4
3+NJrCc4p6ht4jCYALK3OMXu+bYXLjzkLhe3bbfcurjcucSvXpDLrY9Fs/etE+tOXtwzvvTNxodU
7s+sdULmdWbuQ5QyVGz3/+5CsEtxbL0vpo1PCoeAmvWK+teUls8PQ8KqOdNURHXj34hbAyT2E6Jk
AkIlg7NWmazaGVcns7GqJoAxnlFuy9dBihVrjmpvTlGw3X3ILc7B4/uEt3s2NjsqPV983Y4dYsT1
hagYNNfpXqWdIqGyuvzwMHN8dzOP1mzofX03kRSU8n0L9CnzSZOVnEvWs92IVZQHO8WGEllmO1N3
2kMkq29qquEPZI+G7b2jIhBEpClZGRgFZLYNQYy9F3aP0K86g1nsJrYpl04oWCLwj9xnhgH599fb
yoWUSmSote8xlaQs47Jd976aChH1UvpY+rUmIuk+OvjTgSztgsAxIp/DQXOGrlyaOIy7/Pj+54X9
SLTBs6kC/Q9P1V3bWsFny8wVC+EWv3vtEnYSuFS9pcIwOKJDWyNO8qmcmK1fVXBtEoDIdZFcFUSz
VBdjswwxryk7/NQzIgrJ8k5saRoSRuy8/GH8mOi5+yf/IS1Ut0hw3n+V2DpXVRqOX2LUHLlKR9UX
Ec6sjYih1gLSnQ0vm/DUhYWvJqeS0+bmvfb5qwCE22uMMJ7oFxZf3sUVouXqqtdzvt8BmyAMP/LI
CkXDsC3ZHXASssq9UyJT3pCsx4EPNU4kNu6b8ot+Lk38eoPQAlBTDQ2d4G23Dnpk4p3hjm7ymkaB
Kx/ozVJo7eEcXOaDb7kvLnS5q/dmarsmq4uePJ9vp3UJzQMPBTX0iZXBuhzTJ4EbWmyBuNJvexr5
HL6AN1Ijrsf8lvxL/seAgLnPJ7Y7WEp0+IFE/m6qgU7MRzXjFVyWk9Pi8yTPDKTzYQ/8jkjkjb5/
18VosU4qPbdkruZ1UM15QUrKVqh8hfhpFZa+rMKZoYx482BX5bt5OIiLTNV0Qz07RQhvDFFTqvAO
Qhg4paGThBsjnNZY1RNg8xpixrHfhI2iF/nLUHrt37QcnK/MfLheEKtv/EQ3orrsAbYGyI/ADf1B
1JThgnGDRE+oBBtQYTG9NtokyBcl1xHOPueeFzy8uBdAf0s4YJ5atU+f59oYh/h1zMKR/4KeVTkC
71tCKRsGH3tDLJXJzWi8J2Qdp41CoQcVhbDiYUZH2EZs0jPxOa4sG0dD/C/7y4Sp77fQQtUscVdU
Nh+a+pHw6RMo+okz0MGyjaBVLmuUnUX4M9VgeBJAZZMBoKRF10FwCC+/cg1L9OMMhd97puDAGgqN
7l3ndoglcmFn7tHQZHJwCI7hJxGMeORWGxFaJpcKY/V2alb6y90bZSk3wh6Qpa/t09l6OSQYvdKd
iVd4S0Je7Xx57yUBZfF9YmjGmxt7921gWk5ofEGT8Yig3vrHrkl6Y4R9LsuA6slNo+iLSsxV03yN
yuHenotxEfn6OtfHX4pPDOgiRALMNTLZqV/RqI2fv/r2FdFTlAkVvkmrL08K70+f11b9umyYw8E5
R5S+yz0i2xvns95BJWvYF8Ft7F6A6tslfvvEyT7HBbir6w4mptVfhrIfM0mxF5+EzmsoA2BYiGT9
Y97Uro2f2XLvncwMIcXCJvgvztBJ5z3qQRnywx+Y7UX5HqIuyEEY180kKH9+lPIN4LLazooU9wkB
mKTTJ9sIEDkTuYd7S52rIMxejvgdtzkDn1gEXXuLX4n5pz0q1UdKF4w/wcWfQMvuFrv9LeDtHgRO
C9EOLM5BGtCvOkuDeF4JEweeyOyYOqP5UxlV0eywymimQpK6SwNOIo6UEOus7Y4j5/Sk9tYLPIIe
27QbGErb7R1rfOsst4OVz39aKb32qCG/cKXlZvT7kMHFGWl8snHVce3FUVwpIL+GiTBNDAuAaQ6D
h+s6N8IblVuDWIoPczr+j9gxnM1tcWd3lRFCMOfRafl+p6v6aqO4blD7IfmgETijgkh4Eqm5ltWp
Ww3yBfYA9uuaeByYMkLNV5HhjsUBcLooEj1+miHw5chr/ECoX/ch59FieSN6pOwJs3b1LX143BWD
tXDS67GsrTbrqYnC96cXtgw4L8ylhNfI5dmuBn0qQTjmAWsZ/h4CHnDLv6iCXZ9zevswsac0iwaE
qMd74uhIRNv0UxVnPwTfyS05DJ4oaVhN3xZpXGEty/lKOc/hlBfYcDcDSDg0AUzEVYBBw63Z/tqn
d/gXh5VqPZRMPtfxqucWAAvmiRGnck0SULFTRrXxj7yrLxtFCf2shJ1PyjuakBcN8zY4OKLcR2Vi
U2IGwzX5oMnkqNihp7W6KzWNrHDSSAbfdm+NZD9CDSy+M5EHV6kuZq5UdXwRaUHmyUVeCjQtMr5v
cynjL6UWHQLB3QRgUEFpSIWmRl5TdwMeAfk63yaeVnq8+LUw2zS1a8/ruOAqD8sFn3HNklfGhvRC
5noydQui97XHjxax/S8DRNEQ+kmeJWkO2sULtYVXd1/7tfHEoR40npC8B4hWmfj/0gZb22EetCbc
1Wq7RaLEuuIETkt3Vj4zr0KHxKHPm66FzJMOqjcjFyl+VsjYTC67gsm5AEIxZIomDUbVySjPHsGv
dPAKaILJCrk2AOEJxo0QBsnDSIYfB3sIXHtr4NVmDr/6sWxFINije9ni9M3oJnPnjeu0OFOUZCEY
ZymkwZvDWoh89rzJP1pi2yCwZr0c5dyyNX2l+6iNoPuxls8eCKQsiOGHlwJGSljarDX/sf2OAHW/
2klqot5MPlRAOcQtLicKCALXDIiLf5n18WYbAaIt2kBJcQlaUwtU1G3Jd8HQzkDFaI9dhpwkharZ
kvmxS0VzpEjafMGQHEsW1oaWrswGL5jfpJvWzVGsSMe8fkldXOAyblBBzY3ydLlQLofCiP3cKipQ
nkuEu44kw4VMl0mp+PvALEPQMLEEPoIagYhRaZYpymGBhwP+gkaYIGPPYEmFy9+O/oYzk4ZckFjl
ndr3/j7Bc60yK/hEN2cV8uxF7XSDRAoDo3EUSi0nYPrIPAu+KNtA8ppsA4Hj9QFxkixteDSbTqV3
2V0d1v50Svzz9uYHo54vBt5+dKyin4q0J8AMsFoykdmEuT0LoOJbvxgXkJjJpqHzn2BPM2nN4oPz
3Vedg1swpEr34sE2L4IJaiMewgQf8reEKLJ1FCjeXvsEXhU3vV4CrN4T5jCoQ1wmqBQ4JHYlJmBt
8ZUf0tT3w0sgOt+k2wSpQCsHCMOKpSW6EQyOPF3orODGJoWVjCPNBajzDmURGPvQ4kWH9bev7GqQ
Bh0EbbHpoy1TIaxrLsXnqIcSZUaQ4D/d4IshqSJ70LHVIOw4kwSz39+R3Gvha4baG/42yQrRef81
2tJ6mb/ADHyk4k3wMifkhUaTxc4pk5qe92QVZvSSgufDxodcn4dfHIXIvc1eJRCpy4PabuCqPaIR
DUs3Jri3pVeHGk3Es5pNmUFQ72Pzb+hwpT0rEHhd/wNjY3HnWkjRjvycNfeCHd+pB6m1uv1s4/fq
Vta69P31+y3SsY612wS4iMSvRseuSAOjjofU7wf5R6NMG8wLi9c+5hiU0R8fqmcbCDNFI89d3VVz
kKM7TOAo6r+kQ43juoka8f6aRH+yHFgnC9coINySzykJHKAevCb+yClG1xHMdICqjgeAMbWgzG/l
xH2ELNvzKRcJHoKXVeR5831VUR5EOknAP6QgS8DUbAoI8OB/0DkhWfDAD3bJrYJ6pzuW7ag63+vo
9KqNdiqK91aSI7lsVKDJ9j+vrH8gkYhqa4z6GsjnAc+B13a2zsJ42AkNobkF4ajlzYEZs5WZkbUG
fEjKV4wh48VyEwYaWV/iAk7C9VdttMvtqNA4WfvRDAhUGAXcHg78iblhcVesjMVEg3Tl15VR2ejR
ZkzmY+fhjvyJEa+jxXFfYgR41bUPDvu2R/bDXLOUiOjWMFmIV1JBJWFI53XoEqbGqvR8NXwCwm9F
3n+W198K+eMNrlfhHr1cmev5vtUVX97EfcY7zzOMTDqoyp2ovgPg7gc80O5jM81bG1IYg/jN4pfz
IaL8u8snVga4s/h/+3iXWPEezFERhwEV9dS9nC05q43G+9WRQzi40bfTD0GtMmgAkRPmqdh5eEMg
DsvgSgUpSMfXf1rOhozzuM/pAjEHl+FauU5sWJLSitxbcZ/QUFYz/LJCx6D3qDYdCeEstOFLylXP
TIUNf/SEh4meRBjXHe6r4eNqzQjkCU/eKGT/ZjktecxdZoYVKQWKOi0foRXp5A5JtnF76VC04+62
3K9quWg/ntWUgRnG/yw1u9tiVd0XNTEj9QvN8FYzYwkYK8VoX6buenLYBoey5rRZ6qpHSTVtOM5r
biUMhvtjaUUklPEuOJlqJQA+TJk5Mud+v28bK/cb6LkUy9i33yaJkAEB1OTDzOp1FrEi9KcrjDtE
sjx1Ljo++vTLCuJuvdooUXrqeEvNS/sN9XoapfsjUR8bEr43clnyseLoBW7m5NvE+rI5oBVgpLXC
LfugaZfmDlWfnqVgzfN4xNJw+EUhPTYIFlClY3XTHN0773oIiqGmrBJVwlq9gFVjwKVneIYfIOfX
ORWctMKZAruHk7HgYc2NsYh6E6M9SSuSnw9J/oZqTTlGEnfxAqW+ui2a3GJbR1hk+iqm8RgBr3lR
uD5RIfHJkwV9YgT86JmBRFbb4ndNXzqsYuadWPSLOVWMgcPiuKjUdq6cLXPKB9X2rKS+m3FwU2Es
epuYf6oSGrxm2ML4hOFBOd3rLvYD6+1WeFBfqXXwHppUQ1KzvCR/spgmGM8Iq/RqsiapSlP/7zJY
A+wS8LUCSE4IBILDHsvHe+j9uQWRQdNk/XL2vJQ30WFJPQbSat5tBcm4A6dV0dM/qr6gNsBEaAAD
jlO4/D/uPt4Qa9XLtOMEvOffHqPqJHRtn570cp31FHjt3iGI7s+pqiHqrrX6krTd/ifWR0psk28o
3ZRtRZEzDxuhqNtVWuDXpBskl+AmjzdaffXFhOKpkKwel2KNeJqeQ10aXKa9ZcmVon0ZhxzzDInv
hxUPoCJnjMGS5ItqL3vPIonS6VDxouZLYlX+9owiT/H+h4vJxIuL7FIyeEGh3cITTXxPiPkNmkls
mvPZuxBC+PiZZyqkCJNsJ0sLYaqNPFdnRU7b/gTlvAzd9t7EdKo33qIrtT4BUSrHQg3ZFbMbw2zg
rJuCbSj+/tFTDviy5qJXbC/sHmGK3wW7M0+D5NXWJbLMmWusypLL3+cJddS/yq9okLZerzN+v1Hb
rcl4DEZLwgDjGjgdwbsUSCgfPTAVnnbfWuuuxX6kwtdkVjlB8oc3OufDV1WsXMdh+BkQLeGdJKmI
nZD4Mv7gLSfDsYlWLBXPeD+KEUmJ866VqCEgdUbzAILlnGgIVD6bqrmb1GmBT65R6ovhQ7dwWUif
/2fy1c/FNrZRMZ1xTY8LEPnC8RFwrr571Q7ygazgH42L223P3r7MDqcyfxF3T4TVbSQyq3FaHsXh
vMV2Jt3ym2oX33YyPnbfVKftdvhR9OQOGiSa2dVy9NA7AHXXPIRgihgDNKvA0DsFuof44LSsNY01
3kXHwdvtDTEDRGhgZJIrFCvXr0ENLMjP+dk9yIpf1W3TjYujjVubL6R7kZ8mePEZtupDAolXcJGj
LV1LcATmmZEO23QqRav5JYkiSbfQvFwVd5YqWx/QA2aUHHQDMxP80UNN3r2nlb28ZPofoJ4S86Qs
3UZoOtr9oedw23tlqX1nu9ED2MJxZi0GQyVWIh6EK3FEN7KLAMfe4n7M6WBZ0TzBPCl2Vph7uMv2
9y8adPbE5KagtKQWERDSXXiN9MIDMfrcdi2lDzuIHUMhxpoKlzvYSeRQr80NKOE/luIWHh1uJ9lU
Q5f54fvd3sp0MAOfCOTsd7F4CIGfq8s5AZUDFBdSqfD1lOnzoixpHF33DbJ6GaAcCAhCe7o8T8QP
chMI78XT+R4YO5+0f/cZTeZTUe+lFxZHb9KslJUNrv0KXlqKSJGiqovYFeKGwGxovx6TM2BmLb9m
7WNE1D0xiEwYmOgaIpbdi1YheYCVEFkqdHSu1BQeyXgEkpN0y+glr//ucKHGzVPh6BNf1AqJHuHz
vtwd9yhjn2VAh6tE8sE0iq/LF+uZT6ztgD/e3xXzPUK+72IqjzDT0cev2xrAgPjq/9U2ZZ1bP2Mu
qLcBi1UQ6X048/cC3QqvW27EaPcwFalIYQeyyqEbp9cM+DgxdCgz0r4v2VfHyMFZs6NLNwYhJ7VU
nTqvJsbV6PRA7fJdaOcI2/+FudxWX6zGS8gDN2Wz5ieIISRBguwE/Knjuxd6+/L44pRMC3snkq94
6w0JJ5O7fkPjXdhNzW2q1Om77UCa8mO3wOfjKIrF73117HyEjRAO61p7Oc8aLisOV6hdvAGR7P/L
rbiirGHxKTkgfpYSy2G2KB5+7nl8nDVyNBsEsi966KnCRYedWF0UTCaQES25UWDTDIVIMJ7NY3Dt
t3JGPM+CR/bKEVebD3tM0OJxkvTdp7gsC+xcEP0XfZI1eywKysx4/TnS1LvVL/vbpijMRzTPIlJB
QiVNfD9tpD+QLcypAAKKjgsQn7GqI+PnshfyzPEuhApO/mj4mMMc+6gbcQQg3+Oo7tlY8JJyp6Cx
SH10YYTjhNTvIBTp+vr9qyti6zwDN8D7aQxqXvyI0E7PsrafpftmLKEfNA5pcLbuRJgQi5cf8Lof
qM5klibUWdO5MlSUpTvxdLdqs2NdjYqFnRyxyGVA5C2KKvEWfitZCbRGkUByQZLZZI8a/XsIskAu
XmojvqGpzCWeaXWYRGF6q5ucwdgD5rpFJvxZAHuhSRWbj7Ly/Hgf8c2Rtymb5/IbgG4nD/I5JMHx
4cz/fR+qDtOe+xfG6KezQMhsGHlJ4tlm0GCiTp2vq5CoV2jsSI/j/gMNkCw9Z6aB34TttoJJnXH4
Vc4vi40OdeUoW0ZZkAxgERJAXJObKlxGiOU90xdpKSkhJ8UwDM174Mt4Uo8UQnyCj+NHc0A9DdAj
tvQlDq3Xa3K4m6+DwWJaia46J06bcCnZ3LZ7S9xHFDfpwkFbI2y2Zl2KKc07vnDOjFZzF+6CALPV
+yH2shGhjEyqkgI/1vUlNsVYzH2hNGKH42quhqIKWJYINZMaEOlk5rs8KHQv68yoDu7XL8uRkmvB
iC6B/O4xC4K49eHhsfJx7jzsJ82B9NV6Xs/gTFA3Z/BUynHUq2t+6ggL1fadVhcqHi8e6QIgO8wh
0LWWSlMA3/2a9J4myzqOwKx6NAXrLF79qrJBoTUCM4Dsfawp9AJ+iqx29iGzLuW0Id4bGCMqwc+i
WrTqPOZmoDPOQHrybtEd/fIIb/j/esO3vHdx/Lbbs7hyDFonQ5YbOpYdxkznDYLuLPrwBYQVCoPZ
oyjXxTC8FN9H7Hkk11AfHMA310OswYLheOhuLW3jDJbWyWIuEb5m1rCkvlaY0enesgSiCSctAEtx
ssysr+N6qL4eEEDjm2I30N0NvWYIyzbxsmHrzMNq9KGfRQdXuSRK9ZzPkcfo+nTQXsIGeQUHdKtW
4qSu9tXT3BqG94rj9iRY0YEGESyz01XPKGxvraLmnCExqzEioG11ggqnNGoXMMX5+B1nEJkHYfly
zpNFRXDKJIQOFwt1RXII08gYp4wIT4wFsfP5YBEdxwXUS+BFPhnZ0tpPVNZSSuamCPDzOX6JFuRW
5ER/ULHNe7RSMQ4dreIukSTxedXtwiWoHS9bpT5itlAh+rgFR6qPK1keZGfsRBne+nIcqsWxu8H0
6AChZwjSiw61r56OfDK33N0GfNVDNL6TrGgAe2Gu5+w6ET4vr++8vBPQqCOd20Dsq3/8xtlAo0yo
QvtkP3/r+A9AvhxF39LvV4pxSae8N1YlJiBNXVjFe7SGZtKJyb+tP7NurjzrmFrQxAaFHCFvPGYa
03HU77KDxZ9dZp5l3mj444xMTJSvuwxKFoUJ3TN0Gfg76qjJGUoc7d/o2T+c3nA3Jlu0Y6iiWy74
eQpGMxE4zSFURl+284eYi/KtDj473RrKUmiKTLY563tA2ovly36irFLrYcVhJCfRwetefjl3be2Z
R4XOtukOVf1pmKtIed7qhzlLLVOGtDGGMrDDNBOSeKMtvD+8FaWcS40GQINmEM8ePemEqeRmzSJL
yvc0u5Oo8oAI0UMCrPtC2+hp38J+GJNiLkeYybflIc5yiDVlRW1NLCn3vEJO6e+6Oz7o8MJ11yfu
PBie0K6lyXu4cLfPtztZvTH6scpSreLpiqo9fLPOyRJZN8l3gV2hKTTvDeQBY+a+4ityuVcV3v9b
ooRaNzX/8vfCj/J6lpIriiozRku4avBxq2dSGr59MeV5hUjGeD70fd1pDoT6PYeWlRsMQgVXLdpy
v71zm/tpYgtqZEg6iEzgfy1uQyVrLMTLhgGdF7AfIJrVae1Ye3kYfzOw40bZTileK3IaCBGV3Uo6
o+9KExq1yIS0XXonbKMcZJQkEg7sgaIK0K+NjmbevcOK5qhyzzfCRPfsgI9+3yGCzTpnnvrRwJ01
8VlTAmwiS4k245MTecsv9nY1v2Z3x+sa7f3GRiyPYXVcYJLnbbopWn9iMZO/QdhtMV+4nfaWPEEW
oAk1MW+P9Bz0JEo8Bdq0UzhfpqkSAcnHmMImdgO2yT34VqwKOnjNlMkmN3WYtCckgk0nk29TqPvZ
Gm1DJ9IbInNXSS6uOx2QL0+onVLgGszZyCPeWq3zv5yUST/ngAwEkXPmS1EMsrlGa5Kvf6iick9Z
Zz4ulYb4Llr4OKgfzX03oKVQw0gfUdMjzxAwVbtoJZPTnP+GBBZl+C4D8l0sABrSBpzf3xdC+fa2
cWEIkuqc2Bh0jmUf2x4VPwQnkn/PneDaOqdsc2Mb0dLUdvzrJnoLg7ryj2Pi27dSvQnSDZ3WaVcz
/VxLhrZY9pkGp3xbyfNAFv6hgBMan7SwCR29p5U25DfXr2inym0JvxS/dv3AlNRTpAC18Zbuv2PB
ggA4eHElfsyVTO8DhuyNfJoy50vziRzfccie2NHKC7L1qcWOmvJXljryj/FHuBmSS7UQznV4wsO9
Si5i/TVKqHs90vM7l+BOQGwkSZ80U/clSJIrw62LzZd5dYkqvxujgND4XPR4WCQTA7ElJAE6pLpw
uxBKieblWNvjVtVi9LsFS2rfQzqQrrA0V6vimHMiCj8dz0nqdqTXly5ntWGDQ9HBDRfb1MNp+z37
m9u6oLIWr+mDY66gG9OHhC7z9SPF69ni1y0cS+RBSyttt1MMiMwqxM7YlI42no6AVTDXGN3TOZLa
00iyKqhX3WfrkFpXIcSiph2dWzXQYVrImeFqaXJaeukY7TO3SpB7cXcs/9uBPfig+biJBOMij0Gz
JvrDmgIR8Df7aJBPBE8ZCe87bQOi+5E8ybkFW5XQWOhXwOy2aCjoaR+0o3efmKvyj5NN63jkSe7w
6liqh0fsr4wFZfROw3SR7v1MqRX8Yu5NyuoO0hqpBsYQBZhwTWBqWpi1k4d0lQNBsfMIXJwh5JCp
H46TPSR09ByJizSfeXMz/2PT80PEfWzP7Re/qbpYhV0VC/+RZPucUHCo06zbFE0s79kk8IF52VYb
wxqPjz7w5o9ZxSIPGQjC+clkvRnJ/LoHqD835uMi3dHmQjhEfbgAhIA3Qa4ib/EhAnlLz0mE4wDv
wYfCK/33agqdOO2lIdw7sb7PetFYpdGZSWdF2k9+MoeNdBgVIsPSWGUQfmtbNyKgoL2Hbcz5xrsM
OxWRUp5SrRBukmUaRHEY0nRHnQaTBqHHZxR/V6rFQf/CZbEUP9+dk6s3hYBxVl9t7RLJOID8oyDd
TKCviGwV4hQJ1pPJi3xojgKmboW94fGPmqHL7HywCoElfxsvYmee+VjpuefTaPKQNCZWv2+jEpj9
3rb1I1X1QYElO418iPZ417z37xzh0Xw8ms39Cajgx+hGLTrLqt2wPZnjjfvYw8EXL/1ocI/c2VFv
gcosV+8MOIJCqj95WaZlfrGNsWqnqReCJ9AWwcRY8SD/qqEoRt3Gk62K//hOmn5NwJq7Y/WngeuG
vNqmdmzaNcC1/HuAfF3imMHh7IIiK4xU3RhBrlHcb/aBXLG68azGW+nVYVPfxp0JJNsqgfiwivtx
3KiMN2XboWevUyq4ycDc26rIhea3jK2pHSaTZVzTSqFlG8hQhxRARGSDn46c12QojqLIBbbH8gzF
D2G5f0ksxfhxE1Le1Sg2ERMtFBZ45jlP7wM9KYd3LI3ouq0gJ55Fs8m9PMW6MugxBqkErkUUSAhX
K6wVibcJVLNS+Rh5xi8EQRt9diFKIyGS/l+2n5zDmFRQ67GoFzfWL5fZ0pWxHobrSa2nKOazR8gU
xwjhtx1J2T1Y4bfudk8L/EYoy6lS9wEB1RyhH2vFON9ZXm4M1Nqat6v/kivAftLvyatgwwUt8CHg
2rKPyXKUPqie1R4j2UlsWbknE2Vt3AGKL9QMa3iuHcBVcwMnsYQJBJ97Z0k9WZRdTXD1rXzfVrY1
ko+Cta5EeedT2xKNwhvn3lwuS33+de5s2/HZxBn+aaFCHG03udJQujY9Dhc3psKi4uQfLYiKfQKj
17jyhCoLX75zb7cjatTmtwY9OxFvE7pyCSHShyGqApt8Webrwz4Lx4OH5gBJ/gya+sspYwHxErMh
WKjCeQ3ZmK+kbPf1Nf7okfQogTEo6Ks3i3csGDFZMlcRAmfGzkAUonfR6gGr39yaRUXBc2rUz9oi
v/ZcgdRSkFvVTqPwLzkaqGr0Xa3y69r4qlgVbkeS2RsYNWb4vW1IJ7YPa7Ac2af2snMdXpdfBLU6
eXbKRPMsnMjSaEnFaJydnvPRsXR0gZ7X2tc3xgZo30jdfrxZ90AJQmdRC46uUdCcXGhamkWun+ww
OPP/ZfHzIx0WgdwSHc4f+oSoO7GL7IDyGF9P06Wjhjuif/9aemTZazpoFrXhcLBnQRWW+LaqU4a+
+Fxd3CXgy0MRngVU69W5SDckAM9Q6V4E8VaKb6TtuWyVlqCkpfyxRdeioFCLlxbTYLrN0DLbrYgc
NIN5ietpvOHYAYYSvFnWVMdhNLxL2hmD4cIYL1J65npJCeulionfVnL9wJJCa2kYdvivKVTpeQvc
f0EJSOEzzH79Iq1J4xf460EmbicyoZEo9rsgTiOjPEYBSdlj90wa43E0+8CAM/Qo5lqS7BwxfIpt
eO4UO7FBsaXWiuP9InsXYpoVdS1SuHtjjWKqOtt7exzGc3fJPcXUdlFZvOGhl9LFR1Kt4x2LXlbl
Ug32TgBXg/+Lx8KUMY3o43YRtISwMEs+/0nTmmrJu9JdobOssJ6mOZUh8XZ6ku3xOHs0iMgFNrZz
b4SVPFPD2TFiccfNlnrfF+nGk4JPGRo17syo6vrr6ixc5sfKyXB5dXfI70zVtyynI+tkDX65cyR4
Le6lIlkKMZb1hRol98qMaq9m1wi5yrgNGRVhmQmemnyN2Mn89s89BjfZ0HTfpKMmRCn4PsPAeSYY
vPv9YEz7owmQVRWyO2eCV9tl1YbexmuyF/73K8OhINFCtvTiueiogAGphy+NJQovcZoJxNbuGIF5
4mhDuIet4OTlhW9qlLaqgeZK5mlh6BY7M9wqjqrD1HzcWQ/vVzcOJPkJi5d4HCwgiMr8F+YpT84+
QoWC2hyAWTKLevRWMQjByanHHt1I0sVyKmo3++KqmtaXmdh071NdPsnzr0rYmv371ybr6+XFecmY
li5wieu0v8ESEYak93c1u8KthrfBDWPjxb0FxyTflZbiuRUJAZ3vp7yI8X2jSQPExC9QeDnVglQc
qS4dIS1vY3sgTWAskOyrNsVX6BmUCa5t56oN8HkJ2AQyQ6LYrzdW8hHHLxWmQnt8gmtzJ9WS98o9
r0h/JvBRVX7Dms+NzJtdd18xAxfFIw/c/ThQtYFLIg15XfF7PN5LCVfCcnB6WZvXZogQGKN5jcXJ
IQDMat+seV0sa0xFNMxpGdopORfZo8eawa8HZBSlUEu529gE648U62t5Di3syzA9uHd8NcVQ147V
ChcjwduMFp2UdmdekpjnzatcCiTei2xD67yIWj0u7KEW+f/tztNXJfDraDgMg2U62su0MagPWiJD
oAqDfJLfXxCsrPgNA/Xk/cLqfvLNBqbvfulkOd2gjfEeSCteL7bjaeXCJZIuYZwyByPgrAUTljb6
/jaLp6hlkV9fnp2mPab1zn7odXqej3dHM2HFR6fSfk6h1SvP0GxE7ciK4/Je4ZnEwScA3lM4k7QM
/9uZ3kA2VzsWL0amdFkO8aGNAryz7NPdDcsG2gnUGzEasFA3DKsPzx3pZ4WwbTFm+rYCaABChVe3
dJwhjPOEuJfH3iKrEBFP3gBufx2A/KkgDok2BeF+saOBRJ9c3W8rPhfAQZ04EWnbklLntrFOkhrR
oADIvc7XlIw3aeF7I0SBllpiYfO+5n2l+kM+tt7Uwqn/0czFYyFdorz3eGMXKTe26q49cwm18c+u
Sn4bSpTirCaDohtrWyyGyK6w5Q16HZ1H4XZoAaHXlV0XJ3KdFu+HUQ5uek7GqMVnLMqKXz8TgMqH
xzp4EYPaOHWEjyfnSoohaluTpdLqiIcMUuqzIF23N5BVIwJYQLtpMUYu4rmDZuGYm9pPGntZOk13
Kn6PE1JFMMeejIBvc7BiaNAXs2X1BX/xjU8mEaXAcC4cZMPm0xndgovvWgaUCMPkGuC1XTpzloYV
9LhvaRJuXjUNeYsnaK+6nIOaKndBPyH2HBkSOnj2ipiqSsG5wD9zcqVlgaJMUIi68eutapAJHzUp
JmtHHNzu/gQgkpIzReEe7K6w9nGZ8iA8lDqdK8R5EEvmu241HvMbEE6p2aJCk/yBQSIG4b83CG1R
8NA67rII8abZYUmJxkn2RQ0AIgQxFbk8b2Ur2o0JNYNb79BWyQEAze4ej/EthmDeRs/DllLneUDc
Iz3q0Awy0iymbE5/a3MIhi15ibScmHWqhVAaaQI0gHLRI4I7aGaoY18a9u/M5rQhvrJvyE+ed1Xv
XMjebqFtx9yrvhQiMu7yCWQ56HCYXoVgWAWHmaJdojbg4sTFViSpmMnuhjr8TcqBRjGeWT7Vbm3B
mHmmFem5lRGTUl7TeudS2kSUNW/E5TN2dgmOnQtDwSOyGLE+YRi/8HRr7kUuQFqF5YJhNEn1Pfxd
l0czWqwt/dfIIT3jKv31vhPOwDh7+czQuxGJJz4vHK+t1bYkqgB1BKRdEFZ5Yd22Veiv41ZSC9vb
zccqsHPleCfrLLrbawj8VZAg8WvWRkv0TSWjA7XE51nJuztwfPpXymDok3ri2hRvtmQia/AG9L+P
atN53ddkQRJUGj8LvRfeKd2nOQDMnbXyh9Dzxs1dgeEubYpsUj059JIuPhmk4HrL4nCVHqmDKh1C
qwkVvZAYuDVWmCY1hHmfBFXvysxNYGtTwbAQgnksjO7WJD6UxKb7LH7Snuj5ESG5Vp+9oYAUZy+Q
oGre9AmD8ko8qBYEyW6WM56Ym6rq/AphE53gi3Y17Az8qvkiFnlGaGJFsH8VJHvZFJHygY3Ae+X+
xuAItIEIo61ZxekIyypL5T6xNV92q1vDSSw7FJvk6+vq244E8yLeitWmPB1hMPW9/cf2dNDNo6at
UR7Q5OI6+Nlny4EYeVhfaakO+TeUHaMGMpudeTfUGySdmdASWzJIqRxPaxpAqez7K8WQ3QesaySu
s+cM34wknc5GOms6kIQFsgxqOsXFoBz9c4uChfrWdtn2gZmEKE0D7wJGbxARNdvaLwveoK0zTExq
UN3ZZi76rtU2HaheUyOE+O7BqCK3MRNMqegxbQSn+KkliAVTWDgsdIpZC57BEi+8Ttmld2gk7sAp
rPK2yQ/tFsdIcCZXCr0tLA2ZXeHpYkZ1RyLxEVUZ9l+S4ctjlWaCt9/RWcDutRCrxyQxRewqLufl
xEGjpzxDnV4ZusxwWn8R7tu/edNTWiqZWbBON1+6Xmw8ogFDXBMxmK/Bb6N3yRhP9fx8VGfO3+Zx
4xoNEVS33vvIe3AMtEGbZVbkizRcJXlHO12m0Nyt4ZQAy17lTgm/4U5KOgU+VabiHOZnB+yGXm3e
i8yj7Jd+cA8ygZ3hiyQfeDpn0jME/o+yslA2mcTuqdQ4VEOUEMzWx0bqG5fdTW9/jhs0MX1XwqSX
h01FKIArZ9JUnSs2T9zlaUx6tdWVTF3uxJ/SyIMyw0qkVE29SNZDGIRSZJWkug1/gcst1ehLkNVH
RJifZ3muu5o6XI35iFFh3ZuNtXQqhoIVuGAQRi4V00EO/z5YOx1pea8LdT5oFppRLVZbPPBmOnGq
wvAjBVjtYFsNVtpJUgYKRar/1puWje6MYapEYgp55KNFWRxa2FRPsf/Jp/ieFy7tEIc/wFYkiGR4
Mv4i2LDeGwIbuMSaEUHeBnIrD3mn2KcljdSvc/nOr9CgfsbM174Fux0oBhRc3If3OxCF0A4csyxA
rqDuon0ZiX2rAMIJpDtEO+iaQCYo1sCgS9HXxEvfKWfPWPErSIuTg6fXd2uivPfI346QKyfqcoh9
IuNWX+A0KAWaqta89QSYWzBQIZFI7hVyJ15YQfE87d5Jm9aLSbK1kD1UmvLh4KFpzwZ9FGUiBnHg
TnTrEpBFY9yFwTNBPRnq8JvjJ+pXpn5KEVHh7E8EcxWR8KL/k0e81ORacWpS68xInTQhd944A2le
ON/qrST0cqFD9AckT2UlqY/Nr3hAgCW86sXXzCuUOyDzenhdy4nEDStn0TW+XhCuhyq32xXVXyLa
h7yGxw7OpPIQeHHiOiM8fjBD4Iyff9DRErJHztwyZH1ZEOwgwQg2GLQ48W2WILD33XGSl+vXUaFB
Cf5bdKEEVDVsmY4XgDlwKoCVdCxHcjfQhCdt7AFpvc3BeRNWATqnYggEJj5ttxP6ze4qxY8hIMXm
Zu1k1mIdYPF5OqiKq/ULAbm6Aq36MYl4zKCl7sTIURbY+8UdqjbM+YPVocCWhM726vxE7cslUF5O
qHu6Tc9v3mLDtPYjkZYHyGNgIqp6jI/Pt6T2KH950l2BASYquJsHb0mhpuBj0tQStyO8DMh52IDD
JgvN76J4kNXRz0Z0FZyup8+snHfsd69ZmY7IplnVbiOETcVActoG5zta9kyWvFwQmiaEZ0GS4nSQ
QfyUhO+MwHnWeJ2p5ID2yeAWUDb1fMKuCS5gyS2Tfop8/zAMt08Lo0WILTYlnE7iFrSZ6r8l1xjV
Ot9hYnjBtiedea0ksfe85CBKDW2vuI8kA1lWdFOJRrBIJPorkF3uYRUPmEAYMVnoda+jsJunqfz2
KwyKJN6uXG39hRty3RMMsmetVvAlry8Uprhht1X7ud4srsz7/bbYwvOkkpLyX3sXZ5tY1vS7ditm
Tm5ylMBThkHM2UteordhWJ3u7OamBEttWBgjBWTWUKKZCVzcteNFRYipEhb8F8B0uUHp4qspMyqy
Wk0rp8Mc0vEQLVZJlYtY9HR1PE0+b3QZX1YfPQL7G8YDLSnYmmssDnRIC7BjAoquhBcO8acyM3lC
AfOcl5m06Lq7wI1WyPEmarLLhoT7MuEGZHa/ybcCws/tezxdIVrRBkLcRVqAC6rUFovSiyDEZcje
ytLsJxW5E/RSNFA0EZPmBlbcJXIaQ5ba7CjFT6C+OT90pLxxjhPyK2K6qBcVxfUIFu8VQOAG+hHb
Rw5rfDfOG4NSbGxNvFfaT9+uDByzev7J5n45IV0rMUeFujTwyc+LuF9h0URxLWXS7FlIETDccl+8
3QHbuVB7hC1KTGJRK97Vju/hatIlnbPo+xBA6kZtG1B+0Mycz4wGbXjb2NiDj+xbUxMBNa8Bdunc
FWHZlUHqcV8I2smgqpnG741yRyv0a6S2jomOj1VUR0H1hZ8cZYSFHnUZWAhYZ4cn4lj7RkdeV3OU
C7jXudxxr560kAl7JuEVkwgnzT5miqX1A9xr0E5h0ncmMjDagVfA8juNpLAaNy1k4XyvaqcL20+I
Alt8D7w+9ZzTKaU+Hu8EYmqsDb3MgTGfvEGXvFkghgIvHDbkfJNd3RjGtaSHWyZ3m6WEGzA6X0oP
5Z+A1HPa3rWUPyOYWLJTWuRBbeDIFutrIkYniN5aSxYtXPpFQV4agR78zAThefXwLWdqHPtbodtm
xmWyMGz+DysJ/yBSX0XpgCucgLZkrmDYgi5tVXBWslecy0NOvxJK17vtBtzaWzlzPhTlR852+OAy
JmOskTnByyrZuYDldBd9e2hPTj3rM0q4fUoJbrrmZh4MUxvYU2eqbd82tPj0fuyqx+EOCrEhRUbA
pZDicI28C6vlYL6atAqUmKy3vzpf0Bh+6IC9KECQiH3WkQDyMn54wNHwnrP2rjcmSdvfKIn1KFIa
yWZitnFQWgBBTsB5R6FHLSG6jKFtcx7dv742oRX0bDZksztF0wgdoUeidumZnSIR5/xfh7d/3LUT
DbsA2lzO/EanwsDwwPPDmU/Z8m8XBNgBzwOsJc1ULrwRZHRh4ZFIAyZbjPX4t+L2auXG+qJAgAr7
9h67QTIGN+WPqOWMg1gfeLW02xpDrWbbQqPxfOR6Sw2VWEr8dc5IIGcQ4+ojaRijKTsEuoXPDLlV
Iw3TSOVQYDM6CGr2RcN5dbFqObDiL56G54Y3dbriI+7eh5keyLYIjvLLnqdFrAjnM4yKGjrtwsVx
lCCnHQuRbYDY49DTLlnDlVV3MWrBrUPTK3JJXne7AVQyQpRzJXRZtpxH9KZ7lBRs7OQxJBZJtrQH
0tY74dyMOcyL386XZzUqooEA9KIbkMXWhnKIe+rFmkT+ceQl2G+GxcxF0d0nPux8jx/iqxfh4vcM
JFxXkqJYN6G2bhy3bwcASbMliaQ5LFTgthXvrS/B4nCsmIL5ljh/+9nRwTQYBxtSua4mBoWfx4GK
U8r7lr+wQz+GyWKuoBRsqtaKPcXSt7fsaZ8SN43ptlg/VJGl87U/OkjnYdRVC0bH2aR244US94F9
ZD76YHUIT7cwN7q1ZsN78lju8ZLQ3XQnkuxBJmVExjHQ28KiT4egRlRs+LUAxC4Om+vUouags1uu
MiDpu3DWezJRVCw9QTl3d5ZD6ZfpleUn4MZriA1dmWu5aDuuJ3LikI0diG5N6dAs5exuU1Qz+iWT
TNTdxFc+CTmUr2kxSDD4jVxo3JeDPpb+G9DgWma7eyAPSxYtpSPE2QTIsK4XFUn1uV1bi33pw0op
l8fN2Ut41CV3yXISEivMNJqgVKDFx48WaX0XngscgvVvTUGjIacrf2az9oqy+io+6YOcluQjpcya
4j/pcZDcvCe/lKpR21KOpew/Sjk7Ejuxb5IH0ugTi0FtBY7q5b/abF8AMSrIyOM6fy2CJrv8klZD
eDdDvzVeBPBGC+Ns4xGKtNTqeV3RMuPYAcibSWZwa09nJcq3yOfbEiXDP/JPQl91PONdujR6TqPo
2yM2zcMAAWFzdb1Ok6iNyOm73+5uZTyjPxNm4TSUs3JSX4Bw/O9am9kTj3HRa8cAwwxNFe54fky3
g18PMnqSNQ+kuCXZboqR36w41m+IMICFgssh72EP3Kjci8E3vgPOYT0HIa1FrVmpWF2z23SvF46D
JOq7E1TlNKf3riP+kHz2sGcnao13UzewLpp6t1lFo5cxZJeQf0iUkZExgAaqkqcpKVacAxEGFudL
7cDF8JwTuq999Dt1AninWCAix9Vsq08ywQIqV38siuaPCc21oCSIdlILj/6y5cgoN99d3DJNwKr+
++cf9nb69Kj6sIHR+aPbm2L0huLqJEsNjnt2mM1CuKH327EwXR3E0xzU1FgDlBLwqtKDAagCcng7
H14HFoJ8zBKctNDzO9fK34piPHG4Hf10R75VhJrR9eWJfvwSKOj6uFWmluCsi4WNe17jBZirHhJU
n/UnBMxYzvMp3F6/rbfl29pgnwAbU7chpR6VZkQSkO4ruCmoXEsdKRj/m8y+fyIn2/yMU7tECBRe
tEjhz4KJ6FGv45snrJeYd7a6heIOAKNfjUxsC6lGicmLN80TlEc1QGa9yJqq8617J/CovanKCBiZ
4e3BPWLsXUXOqiP2PSMYOHs3v9oYAtYj7WsQT8hFSjv8GRskXf5rN4JbyaLuM5n/4KHbMow62mwL
Hz14mJld+bklhKnQMjzyg/C1LBpbhrIgr0TL6ospINSd5PgSIxki7DkoiVQCJq/FVE+JLExjutvJ
J5Z879KWeSIDEkMkc22xWSFMA58SOexJ34z8vErDvxDbpuLzNmnR3aSuIaPuQjlr1EFGtyt/VQ4o
axWs0c9IQVc6lh+Pzkc7KJw6iA+KJodjoCfPPXmbj6KsxnGoBSpw+95iQ35Hnj179BdxkkpSneU9
qSB6ZgVdb46fm5/M4FAc3e/fZzzCooBt7jTYEPV85rdjEHaOxuh3kqbQWggx28JwCXfP5Elycaou
J+unhEijpWKiDfiMN1IvpEEcsuX1kHN07LiNcr+45cW6I7QJVoHuHKLcmV1T5AlmqwP6FQbVi1l7
ngDbjB1R5Ut9zC5V7wqnpmLHvHtsGJHHd9E/SMimUM3PXgJz+4Ls90DfsjXXEWO0Gj5lsNWtHBYE
1AQHGRygLd0ttXaT785jPwQ8cC++X0vAM0CzsRqNQjKI1uGw5S7o1VVrRnWW+MnHu254Y4kYLNlJ
hP3+rHzJPINF3oyCgR9rCKgePoRkDkxAc4MwJ65cwIeKXPv8F2Vbh0wwtTPR2FnnDvC0eyodwiYb
puVbaWBU6dyiqdy3JHKmIadyw5jPSZL8kz4BR19lpWJMS9LHgLo/ZAmVhxY6AQVM5oiq7GucwrIT
rAeJBvXjtfxyn3pJumDup0egEGkeQw5m/Bh6Mc11c2IDYPk2pzy4njGR+ncw1dra1ZJ4HrTn3Bg+
CoI9znDwyBRUKS8QC1WiB4vmhtK699yCKXDGqW4iNKKuFOaUlhAOwi8pRu3uOndJmgUxSO+ZPnXL
WxikMOnMxIKKKp8/rv2thuWPZNlneOBrTNqMo2yRe3qpGbwW4D3avBYJIefFqzZA/IR/W6m1EBhf
7IJtXy/Hwd8tQBHEzbxX8AG4FueQmp+GEOYUAgJ+uOm8D6fVsU1u8qWhtjwgqODEnM0rOiSNvJyd
8PrUxHBtult9Ns5D2BwVhUsqWaXOyBIENAS8rF3df7Bfs5Q+VsMF54MJYrWTHvnuXGt6pu0vRveL
nzOz0nWhvnoxdLYDscu7pxvOLzyLTz4UoR77qoi97lQvkrAMHlH0JrrXS9lPeu7Sv+eINsQqnxu5
m4T6EvlJdGDViyZD+gkPzNdKLCidIjXpjOnmLAh937jNmI8fi7aG7nNhwbb8QjcApHHpUDzBHhqb
hppndrK3KodydI1MpqmN5zsd6Rgv8ClDHOnUD+OKGl+PofLa2kFQOZoSnVCGpi/i2HYMJ6sIrzjj
IQwamRKIOC4fBJQW5ZavT+QUCzNjgvcJTKjsd72QMRlhcsLBZ1s8od7Hd5Gf8JznMAHzVD0IhJs7
UjtKPqRDO3MABrYD71XO8XIMQMpqM5vT9bXhChl4Sz5p8TdY1V+kA6AWYH0ucYBYNGXPXkdjbVrc
axveEv9grkO/soAMVec6hee3O/SGb8QJkxQZEoaZ/pmvYtkjC2q/8qXX2Ah13GhpS+eLQNNrjRkp
Ipa/a6NVfl1aO+ajk922c0kfj8CJJ0Fm3PJKmRQyfDRk8ETxRtuUOqjXy7ZIHIIwekZMt9HLETNo
up6WbNgfFlsVW/QSvPVofEktXLMHON8LjPESodN+c7Gbo5vKFoHgaV2HBT8NbkVhGHnzl97Ipp1/
39+Rah02kiSL1cqfaKBDOxQFOUqgI1yGCf4sky9aa8yuy21e9hFZ6aH1ultDAdG/6P4fpTdolx3o
7Bh9+aje1Knh7a86eCziB7Jv/33Xa0zBFne/BTMIiP9x9utvxshrOgShphekR5Z1OYAV7bhT/Qt4
XznspGdvY/+IwyX4et71MJzuyE5BoSXMEkr+xDXWBo50V22pdkOUfY993Wcro42nDFVQLfcIoUx6
XTWkOu4LoqW9vO2h8TaVMtuY1qDd8BhoPjiZzjkP1Pmo1gnI8WB3MoWYfI85zTbveCDA5dLd2/s9
O428B3X0BQDmMvcFS4pQMi6b7VkJZJOCnzm+BullPgOd4LA+wLH/F8XNdRRSCchypERi+YWDMOus
T2+168g+pdt00DRC7pHO4UHN/v9i6pjQ2WmcmjlIHGkeJ85MRubYe1bYNLyhOjXR3hE5c3GLWaAI
fWL7wg2w8aTNhHb9Rs1LJ5nZs4XWbL6tZh3wnk4FJLFuXq8Ev1+eVppLjEmIzkH5EUJrO9rm690n
BhRmYz5FyNIkTuc4aNBoMRV7AtklLEL1UsBliarYgGKmdBj2uzSaAKjYsCORyV50vhSz6ueGpy5C
NX3bXaJX/gDRHruSQVQ1mRLzg33fN1/cfFrFzTykeuGy8MnMfI05C2SQmlkXNuHIDW1o8mipHBuz
fR7mBFAIKPYWyjBtortg9Cv4BqGfxqOAtNd7qbgS23MNvvnrLNPEVatRUanuvK/8myJjT/YrrN8L
LsSbFKbn1C1wm/nU10K6i4v0vUfQ5jugcPROcaINHQHgs35JvlADgGDw3+vOemEhNejexKaaKJgR
zZGYOjod3pNjHu6FsAPL+JNcUjgQ48m8VT1yvzjw0/zV80W51SHbFR3IgsIooNDgj2phpvxbzmWP
Vrm+oLe9nYaqVtIPo9HY70AlI2APQv8lTmxGH2EKVAGBNsf+j+joRfDz4NiniPVsC1xY3PnU12M/
mENdVshnGOAxPJFJT7WL5XLwFiuBGF0YlcAV7+Kww0K3N8ZlpfWSO0F6ccMhBMDdjUPSR7ERYV+m
GFhXQuQKLqgrSQhGPeB87cP/GkRjJAh+OZnCDpbaxJquN/CrIYCmPlp4OKyXwpXyB8uh5vwgH08A
6y4ikFdTJKBj8Z8zNaeh6FHV9Y0Zv5SU3MNoirBP54c+6G4rvlk7M0u+565DCeDgj8CSPm1MBVGa
2Hk0uxmGN2q8ApJujNwcu2hf+qgMKJZKv7DqM2plxU/B7JZf+/OaRWntOtQPmmrJm6mvcQkvYvpo
ixKLooi9KUUGc6qP6q4ljVPitf6h33s+FLq+SvJb+XISxrWRVWHyFvbc52zpHn4x32gDqzE290Of
YDWJH4wIsBJRGZ8g5d9Eq4Qvmjwk4Aavgfxog4xKRJjd1YhxRFL0Qfxu58qqzDitFaT0GPkNqCxo
BkU6Gs4gARhOHSaGfHscFsgi4yR9Bg5T+2As7abVh04hs4CBisfMkviuyeETFLC8o/xVzPsEKoZH
cRMM38Su6kXdWZ6QaCvtWnMvxfxPrb4yWRRgpGNbNs7jkWdy8O6bYQsZpDVtjL7jEyCW8yZD5VDd
3ZhIIBvY6snhqwTfHbCGwSy5aQqZrG7Y8HO4m1zwFaDquTMNlm8FPDHvyv7k6trmygD78VMVFnBP
PSki8aiPoI9lg6OHzKLzal5/rpU6250WaKQEIg9X+1NKXnGn/2Pmti7eLvnOMUZaZ88qxa/iFm+7
89Bl1GUgwbiOVm+a2QD7/nCNN5GdltKsyFVgG2EBPsL2uLowkWBVZx9borwtJAV4/0+/4zChxTYy
b7tCwmu0A1u0LaB/S8B/EA9kVUzsOOWyxdDiNMHRM3JtcA+Pbw4pJM7pGLBgJPlAZIqt4uboCO2+
wgVmb5+RTNfFd+FR09h4fmRD+WHiFUQcHwnaUHKQu/7z1wuc9bQmpRurfHMIHtr56plHuVPuq3tc
TAhRC9XWad61FbJnbO8Y2WlcZoRYhT2/uB7sGiHzGZRBoaDChyoJHBynO6Agsy85HTQq28St3xRh
AVT4twajiGGTV9cDSzlFt4kp+Q0e9w2cJr4Ol6OqqtPLG23/8JG9M7FcNarN4lLDc3WglkAcl9cL
kSbplCqN5H3MnvV8nacVlOpupp8/VQTct4bvxY8aAQWdiDZ7CNIGEmsJ4BvoD4gqevV2QWSeUXET
1Q25Ikk/MgATC0DpSxdTSoTp6xXNge+yIu3n+g71un/acWtF9x42juoXjlYDIxhkRT7tNA0Al6Fh
7Q4EkfehQ4bVGYKrOXC6lZGeTi2I9LLU1ynv0pfb/hRHOYJaGrSe9ZszarBsAJoM8KgJgEOCHPT5
w0uavtuM2oBbSy2a917H15YHnEHGp8lFu7sY6IDs4EA9ru/ehEnxY4d1klNoSW75lOqzLXFwg5Gm
Vu8SMgB1uSVTxmC3T3zh/F+LPa3QbK5G2OSZmOm1jFuzQBhXPvulD7CP7GYNbfa2l4TmpKrq0ek3
dAH1pbECDOe55Eoc1Hf8A/ZGLcKlJcghQct13Vg7uJj+bnggTrLF4+NH+z/pQjRcZyK1RQGB46lY
utCbdK+0IenaGzXz8+omrHhFWz1aoE70l+k4FytCqtkYsbMKDPYh18SlIwPfVjG3DfBD+SRVeIuC
yjLKvrHRi+a/0MKV2P1vqVzneoKdwQ1eZhhehyY2gt7ldKPXBNP1p3OoZ9mVWgs/N2ywcR9tsJC2
iLPDzGqD9hbZo9pnPR7yEYKF+6rCb19CZYE+Wl1br7JALtByQYISOHf4ruQwmLKa3OdmND0yLwKF
Qm5MkEzQqw4KqyPtQjcm6JP4jIiJnMVX6FT5msH0VEa2i6uboigFI3LxVL4h9wD1S6hyVMJdVHZl
5i+7SNmLgaowTwSZbQYHr894l64DZ/lPcx1g1I2IsggAOnFWu/U5dWg/9NU25O+p0kPu9cXOhtsI
wRJMTFV0e5pknTdvLpGuSzj4ej5e+XJ+rqF6VlfyWFMk87BuauZe9Txdo6XUiy/gv3QfWaluli9c
oVr6ycXOcLowqYxb+HOuzAsT+EQaaiqLXS5W6Uk+A8F0GmNiv1UH8q5gI72KZuOoTGqe950odVHL
UYWlPtsRlbXePEmQ81d0c9lhW9VWUdDr1t6UKizfzyKX+dZghQPoI0aMSD3vgPSAmCjpI8RoNvSL
jxN15B5fh+X6QDNNhXOvzJuB/jPDL0j6yV60YXpicutLEYaaX/VpvQ2ARZT/1z2xeP7OM8n8uhjh
6Yd3VKZUXfkTCa7g5GWVhTpGtHQzoiF7q+VRQ99M1f9CA6QyW6dh7quNe+A1MlVB/sTKyLXpEVJ9
xEZjvc5WgBUQR8gAm5ecuo3zOLOGJvvR+w9A0rNxu79mJT7oa9ewzvnQpCwBKXwEbx8LfzycKvBe
jotTfxSCxcQN4SIOp3j8SoZLvtqeJxlgjz2ZP63ntKUPFya0YIrWIc4WFbaesfbtdAyY0BjjGzKD
eSAXBSgBeaRZDniFKchzx2Dq7kNUhhUXqLfvIc5NLogOSuSTp/yBNa1gMDglb8DWXCGhJAgThbVK
48q1H74KzkazvvYppcKbw06YNRA4+2ejZc92Zk9KPydsV0NalrXxN0u5HnlzgyTvKoWjGNRpZN6R
dChocn8D98nuRUIEucBWOQ2S11Ztpos4LBR2MXps2coV7Uy+qslUXe4FkzcjXHGbEI3d3I1oP7f6
YdmDDpOj9WadGVFU/1eEwd0RrZKMsstit+HrjccGz0SMrUiwbXHmUbGj0ro6HTMWwtdQ9gaetC8Q
CzDrAwQdLc/+xgLKZtgkCcBOwr64wh/wRkS3eoI391z14PhDamXucPM2LbxYeWn7nNDfwS0svJ6I
6i9J1YiJGBYvhcOCfgsGHMFkpq5ZDq6z+yRGrD0SkUuy2v7zj3VCKnnNpkTLeHg8ibSj2p2FCasF
kgTrZr74TiBtvR905RQgtTYEVGcvbzhCHJHjkEKDBvXQZ870uWsk9WdCIh9EKfJzyoM31xfaAIiJ
kP2nL5s+Fnm2YLnrh5o1gL9EkcVE4uWWBtcWTUvjV6cY+veYt1AxHNitkQdlRv46AOhJzOGk9z2k
C99nGeRMLs+vwFXTVu66HAsaDhv2iw/+WsS00aU85gEYi39aP+LVm2Z2wh+LN1bGxawbxATA8uXO
dLDxZSMq6IPHGnsdSHjRiirkvTCuBtsdaR0En3KqFDwKZQhCpESEPBSALuvjluNWBhsMTWmhCwT1
ECQOTIJpWPEpl58N/HG/mEArRzytKfoQV24jbHjyUy/IfOqOv1p8W8vKWxyP5NKKNKfVGCZ0t0B/
K54pBVC8XDTWGZuSek6LkOdy3eP4qtFnsjVoL2X0WXST4PPXBoGHvqLNjxoo9PRK4gKEaHc/3PrG
f+dizniJyaS6fv9DLuXB/lOwFz2F35HahnMHAb2dmcoMqnmYrrRoqgYT/uUdsQFVSFA1e69auMXJ
WxelvhpZIcpapVo0HTc8slSxzwC1LgzXE4KNjvTnYAHN61QfhbP9THjfnlYVZSiefiXKU3qgVqJ+
OjGGw4XZqGM/Y6vVgSZiC4NKQS5de6fhuneA9u6vlUGcefv88NjvIcS7JEszfJjPcvjwOonzKzaO
KDnOe/NdSkNIjVHsD9yHWTRkMB0mdmJ4sHbPnybGkrk5HIXujFUUmiYbSsYyNI1R8f2E4cB6xB5G
aqj+97gD75BWVhJu/gQOS24d/B4U7SJlF7WXuVpfpeUerxr2njZ7itMEub7HN/VOEUQv4WjweAeX
A38MBG+hsvyHq5UAF8HebL59q0wLiBZMSopMAGG65NJfzFpEngPqLhm4cXXCozJd0Y6qAcIXe/5u
hkuBlvhjWeynHiBK5s4GVxv6GvdtY4qd2IcS9YPD0puDojFjS6/yXK8yvb7cuPEdWOK30/Ua1nq0
xLqYQzRsInb4pXWfBvx+bnONvruS8yiGmKzVx/Oa+OGi5wUgXiAxur48x2qPja/WjdP6zAAwh6Pn
6IKS+h9+6ONn0RGNsw8GlsDIy2kEHlYliCKecvu3ydFF6DIURRYhS817miRIF34ZD/2QxNPllfyf
ltAah46GMotoXFr4n6B5sJhusXKUR31NJuNK0ebMOce2U5z3/OzlIASwVRg+t6Aj4P/9x1AemtoR
Lt2l0X645/MKV3W4Kv5dxl8txWMf7sfJKA17Z1isPr84KGupsXP9VYxc1DfqPZvjbgVd9ShtAONj
Jk6jwbtlEeuW+gr3DwsEJ0RRpW7J/wLAN2wwdVrXOP3xmicrgcrtcehAQa8/v76xTtzblLuJIxCt
5BCYwVxhFn2vWuf9QV/r8ouH3iq0a6buXjW+qGSyuoVLU9Nphgf47QFl21kasGovA5UjM6xGqnvl
HQdE86ba26ceWKigZs9tTzIt0bIuhERU+LQst30SfSs4KchGHyP0cIiYmRwOAWINOxnkieqAkVJH
Zt7kOcNuSfdWWVLW+VLK+BWKN3p0Q8hLlNDYjZTRv2M0k8K8DD4sNlSmmE8cgJZ2bWDD4/W/22EF
zJioV2ljnDPxM+AqzgqCtReRnBjvUJBKh7yHZ0LHDtTiR7KYu5Yw9majfDpLndZtvFGWVXhdJ4UW
uT5QPe/AVkKiqzG+lO3eyxbC7zEHhJU3DIsKspY2H1uu5MdG8in8fvK/VAOwq5rEOJheCUy/ppEU
LITfdF8bkNivTXtYSprCOWdRq0ZYixDMHYN0damL+pllPDl1s4DujfZVdp5amUE8MYPBJRbZTF2L
nPHAl8elYiYap0/B5dNEVc/m0oMRL31vc4heYUKOPGsnslsdqPd+sQb+QdFc0L9wr9gxe5FweWol
Fp+4scOeW0ui9s8m67an0QbI0dFr/hf9a8IEQ3fYkCpeea0zynwETVhxcGHeUv6KpKVr+Cn4mny+
kXOVI8Tot5GgPdT3OiACFExf6H5N3LwVFgc5uSA3/ER2+nM0Kx/hJa2KG0OZD3Gs+alTcTge9/sT
RQZ9xbFx0DVcMtKM34BZkog8X6vvbSXRFYtTQj37jfhO/LjFr2ZlFbetK9djvPGMuHqAwcayZ9V/
GznobLcv7Xhj30DaIOyBdY9PT/DwjGL4Js9x1wTHxxMp8lyHpwSiz5kCD3BbqdlAXrs/GysugJM/
XILDmkYIoKCzbJ9BtuvIEla/Q4+eUDHVE0ghKBtk0KgOcObBTPEOIY+AJKCWUz/uHhjPt1Cmnk4Q
dYkL1Fx7h6Osru96cY1P1aVi4oIUkBbxNGUdGfIrs1yi+Uh9PHydGCwiBmOawhfVFwE3uyZfWKh3
LK3RcZs9QUqtjuxbZwA3Rk9OzY2Z73bl9+rSoothYZC/FUN/T7kNeHNZ5rJ8AgZVuYsY4Zf1fiyO
MCMlcSyDVvpR3/LSsGuV3P6QXI47Yyv3PRg8vPdW74kSDc62Q6fyCXBb6lRBIl5YxyZ7KigTjEwr
R5Q077H7w89En8sN2I7nk9jPs8HMCkvIgpFKBnYmCKAFxj3DLolygr8grTUq36BU113xpPDaEnUK
CalqsFhPLLq7NQQ+WtDYTY5XdxzPTvacz9N4cfsA47L5KKRNlmjn3YjphzQPGoJKrMFQdiYN3bBE
6308A7SYtdml1UOOQm5iWboDuusvE1g6KMJ+gCR4maZJHosJYAQfaHAj0pbAhsPP6RHBoP9ynHLo
SDKGYxuh8PCztbQUqFolGIJgpAD+Q+6pFZSnO3XQCt2WZsZaSL6VXY4HaEpBMomI7JYFX6tvErOr
Li2tOKYtsu6p+y4oJMkVWGBxatgfLC7BBOZLFYF8+imTzaigeVoZ56PSPmwGtytsW9oNWL1lmbQB
Vz/i4t0qW2cnIHZvqYGGFdtwYMxCKdzdFYcapIpfkwBGKzBtWlcRGsgFQkWTfi1gtiWObfIj37tM
bRoCKfqxcMpMxKhuZP1cjakcp0v8b/LZqqBOMdzPprjKd81EEoY8uXYI/U3EeUqRNN3Qx7aTrjCc
Ai0/MRi/6YKMinJbEm4dimYzQKQnfKlWg4GhrQGYUHe3C4AyePK/6qgB2uq+mGQCOJKlHMnccEWy
5oEOhrbSUWd0WPBelIiI5P2WHE1HLB3Z/6rUWwEd2wRi7qKHBPxpkX7NEgAZv6QYcdNrsHBaQhiL
ww3Lua3U/YiXiv96A7QjwlQocAMyU8IZdbpUWckIgTA+Qx3e4+Fb042aUd+z0KHa4DvcVR0Yn07Q
SjMommMFdGpfipDGLH0HH/gLAUsS8Fo/aV2sb5rYDQ0LqbiPGUAvjz+yNC6pfbFgkzHcYiMIX/IC
eyXMYFMrUuFOz4bIPaFazgPtfkNEKhlBYwYJk0vrSCT95h9gvS7BAUHOwVKQANwwWnDKW3NOzIpN
FUw2s5He3ATp976tbkjmulw6W2FtYIQ+kJjg6eZm4bp1O/FeeE8BHxmtcycat+v+9HKJhUtJiapn
gOazbT/cSC9Mo4gl4ef7G4zVMcuXVQ7qq192OQTBZJErclSXjM7Wt7Vow/kei3Kgtuo8cdaMSMUW
k5bPHN01XNQlHcLSG5qzTl09sUP0+k+NvY752oOMRtTgx2u57ogHvLUAr7uOPCVrh7HDa+7o6N4C
HcL7RLIj7nuORkIa9ZYW/9hlPoMgn46BSqKYDvqBiHZGernYChe+bZd+Y7VZP1yD3Mc3oVEM5u9g
kaxnOQzpety/r58UASAkDb7danO2OWWxOp15UXE1vpz9wcsWHhHjjAxm7X3B0rVblfdEAahwkS3f
M41EmgwaIPsNXfyx2ft8PRzR9101aKf3bpcmgraFnt8ru6AtGREAJ0zrG4wwga+MtUHQrp0jA9KO
z52cW3KyUqyATL57QM2zdDDrXkyIbfeYrLoTmx2n98mSShTlHzhtZ4kH8hntG5808hx1YJH8o5UZ
K+3NrCQ46LHxLqgMHIkL+j1ca25YmhZbmpOTvlIpEDCzYczT2f7avXUi+e5zr2jaESgsLBL8h+/h
AHslF+D5XdWcP25OHvOhPjEgTEU/pUlFhw8tZ56kkcJcG+PhkdYL8vxnhrHSC66pMg/RC5Vrf6d9
RT/GVXysOPr7bTi0gfvUuBKK41bdpXRx7uAw+nMYKMbSbLVTOXV1n2xhf7o/JTxt66OqMtZfEvfH
XY8L2TvncvxdFQ0ZD4ReIcSsU57NV746HCD0eieSSEWUchMmHQp1vy6t/wT14gDDOtYx4110Ui4k
hRZcD9cmQx2UN60I7xfEjx/ojPDgKcOp2b3drjbALtvDlWHdqLGOUGwVwvTdvDZ5hF18H1jbgyxy
QCsHd/R7L7TwOwyx10Wtz9pVFQJYn+DS4hIk0VkGMkzmJ4E3pdtDRYQeQj/CrJwS2P/e4c0bknOR
w8Us5eLhzzUM3XEY8HRZfEaGzNMoWOyvL6xUqXawi6appY8kcBscue5eYD0QWSMX3xHC18aS+6G2
qHeZCw0aao7GRKH8KwiWwxAAQxeQBFQ1/Wu/JrrJx4PK1Q7Cpv4MRnasZSxouuVrpWSLY0I2YzWm
y12890b80BiB1JzSqIqccHEIeWj5+zeYGAHJdPZD1V8O9zFHagoDD6B7wl5JCoDUbs5TQOls1wDy
tkshkBMKxIPR+79hGd03aeCKBoUEvWm/ec5oAQtd9YhaiALFPUK8QMLPxUIi6vpn5T1IDo7FGYny
fb8Z0SoeVa8wUmnXsA63OG86XXdBX0DGxB6rC//d7jsxtPAKB7fFN2M6pwWC4mr7vgKXoNqdKQzK
aR1PLEbbuCPGmmlN+1/pFlnftJsFNk+muLRwpmYBHxjbixt+YB9ur/pfI47sM8SqLVGtCsREIGc3
9b0bnYcM+V5bnRWUqwW3do6dsYG2BuvPhHypnnSxvqJ/K/udQub5fy9E7Uw3e+36m/N4HQLk1lP3
ZsS4rPhsthKF2FCtdsnJyX4aah20d4DT5wGW0T6FxnjUKTo19BUrDJr931jCc6rLjCW/FIE0lkrT
JMBt7yMWY0NdsJvObwcYe+pe+007LLHm4pE2Gf4hNaW+kqoPAYynpGzicXYtVIWhv2m207pKYzUm
I9eSzmUCFjyQa7yqwVLB353YzNFIDBJYRmhH6LBiQUkoj4viQXB9YW3+EaxqAEli1vwg8JJYtRun
jtQVW5OeusdL8WR+1uhI0zQ9SIvjrSSqGNWEd1QRZ21ZnbBY7m1aBFZkFmMzB4yCvzqiLfxU2psG
It+bUS/l+jCVT8h6udhIlJNoayVQB0n7vsTIP558EGrQsmFwtSjs/WIs/dinPJwTvhcGbEcKTt10
aigChx8ehLVs88KsKaAOJerAre/3I77hlWLaWUWQLrlbqU5beusR3XjB8iwDcABgqNiFoJrvsN93
9Us8mqbNJM5fZG4BkjrlNO4op6nyMHMgUBOpADf6Sdiv8hOR1O617ZdmYrKuRgjiJjipX9Wds3r2
4LqqHYfsKM2EQEsQpdIIuBp9PYFGcCdVL39ZA+vY4Csu+KxJXcPNe3RoETpOmWqsiMEEJtnhmicI
E28T+5afSOOkkIEcaOXY167wV9LNg9u/NS0wYJqMb/E8lakvyy4NswamvVsM2lO9sSZIbPfdq74E
C3Co5PO83lGVtiVp0bCKSb1MQXXdkMUPUR7AxKR8E5+d7Jy1xTd0bxwYui+XCxsyh24n1g0cYlUD
lij+52DlRfSV1r9IM+eLy+J7/TWjFYLh3eVRZVUByQFUb+O5hYA5wwG7p//lRdsaHqL7+SLRiNgk
evxyiTiELv1jEGOAoiIIfmrvEYPP9ZRB3tclnbcLrl8cCL61opO0DuIU8+c5gD6mK77eMLb7RLvh
o7jwoQPSYI9nwj/8OBX7dhMcJjcj4XNsKUGnbhbcijKhgaYp9adi9EtPdYup3FEx0oSQa7FMIyRq
3/OYS3WP8yM0WBjEAuim2hzIwPSo0ydT7Q8ecfGbjFBoCs7fNh2bpHaG4PK0uBcyyrZbi0IaEaZa
HoWIC3n+B5CPv4Xu5vgDTsD6QEH9Ai23hmb1Xt8G+tIIEsz5toJou6hznhzpJ/oDWv/jZV2ywo17
mYybtgOq3nZ2V/d87fm8/6oJ/rOtSyNcb+dAqJ1JaMKqUlxlVGtmNiuD+M91HzaHbcoG31mJrBrV
ifuh9eiK7jM3it5qrvtRFNiLCLnTf56/8rwZ3ekBJhHvnlTvCqeCaUlKm2X8hywNbmKvlx1Pzgxv
+jFU0JnPZDUMCvfqGHJr0ENo5qqeRPhERN0aavWxfXId1+2HvEmXTGjrx4f+itB2AVwovA5VebZQ
hLmQRjM+iRsaWfO8krsNWShldJkE6WS9TP6hJMR2tLruLasaEl05zjwy93JOfwZSk6ApA64Ifi4g
pIFnKSjDu82YFmMKZCUSGyd7hSjnfO3cNo6YMd5MmNRR1VrwQAps4CVz3zF4n/E3AOXR/kjKYwQa
faJqLjJV00b1qCVUWixIlhq/03O+NWXDgyAUhMwRO15gPskh0MbqVqJnx8cWvIVTE5jOnMMLyvQd
BjkpR2Xu/6O/hWFlcK4hpj/5aYLrqRYrYwxGXlE164yvzw2su881BwCfWvp3HvVRk9a8+Og/OPA6
L8L8zH7Dl2gYd+1QVmW6fHMk0O9HlnoIYSvU8mcf0r/kr+53IE5XHd1ws2oGmcMkmx10rCGQK2Dp
yDe39ul+uUJdz7f+W3OVnz9BEA4KkOMz/X/ANwJ0tzy8Dj5utRkBsuXBHh5NSJB/qjEpmTbMMAb3
vtr/oj1QNr62M2Pr9CLq18qEZj3n+ont/E1FIuXLA3KQ+dcrnrNdibqF2izLQTAu5gq1nqLB9A0c
J0loJW2/svGruBWj8rb18c4vJXo0kKOlnDFS8ah5/3F/Ej981U4Ykr/2AKtLMznbStNN1qib6+A4
dOTAdLCiGIxm1EGf82uwPyoLmVZR5R+eSU+FNyCSpcn0NY5wP2YgHy+tEIucTUXGZmh1sM5CRneB
2IbGNlWu2Ql3ZvxoVz4oF3/YFCPlsYrUtUn2kQ4PyFpa32Vn0/NZr4a8b8dEDfHuY1kKtUincMip
3TyPNwmeVTcLYMjx206lr6GjW/zFJPkfdCep8UKcOuz0PPqqtuTDY3eOQMEcNjVIBgUf0sBVGGNv
ImOgWVI/N5SsJ0/Ao0/TabSBcKDbS1TEY9+W/fZBPJcr44XCrSm4Uedt4lX1e4AIzD8o0rqMarQe
P+hYcP/7zXTIJeUwqIlsABu4Tnf8aIANu2hJMM4XgvngWo7PAerUnOpzQFcdMAL9BC/DJ7cUlszU
Zq7nd0r/N0/3ziC7ixRlW7kc5ENgb9Eb9raz1MQx+wkuDxhDVzCHW3KTzlSlXA/cfDGwrrHAgOr8
CBIfGCWPLquMqLPiSCrFogcDHmALaW22ym22UkpNMx9GqZRswmnG0WcpoQDx7rw0TCjKmpnZbsb4
1NpFNbQy0juu3l9ng3krZ+64lfsgW4Oparupc/2kBWeUlTejgoqzq1n84wvkU9hx9/SM+NGcX4bv
9/EwK0vnqSZzj3+8Dk4IemV93MhvjsSYbJcfOMHrGbzhRyFtUs+oPTUbrbkTNHA9G76Tfsgl5bZn
74ylaj9kZqIJ8o+c06zRYqWgWDakSfR6F8StjPd4gXGwx/Cud/CjebpU7lLWy2Oxp7ZnL34dHdej
T/hvminIjLnGYz6vCmsIJVPyHbMkuBLr/J/hn+5ooA0Dyd6c30AZ/GzCAEk4IL9hzHaroI/fxeVq
c2pgzx5WlkN2dnA4N/uMxngnYsVWNe5LtdMYmFeQpVcCSs301422+fSplcSlQ2prpZiCd+zhO4I0
KYCjgsohjM/U4Ru2RJx0g+lc/u0L5uMK2kDEIU8vDrz0V5G8n0MD01vJSkYtF6XXYIYgLYtFYXyW
1nzn4SY6n12DOR4zzFYR6pNs7KyRxB1asIV7VUjqrJj5I+JpUhDyRlTBLbk61E+xaMEX9aKaRZDd
4rxlnFQtGHStFC4XQjEDAapxXNLTfpv1kEpJ7q7i7awUPZA1+FY7Sd3TFjIxFOo64MzIc5b1146y
DKlK2rWN8+UtkscEro1xI8uFr7VgcsECgkocMqXbLyo43r1k/m4Rfnw9/X4SXuKWF8nsKU8kntYb
vRApawmR2Agg5s77EkUXiCz5DDJTm5rbxvHgkPz+oM+AjZg95UCctxsOk3jdH41b1Cbo+NXTQeq5
9Bgy5A1W6yZUEP1D8pWysvpBXjr7uC7OgAfrAbsSrlDWPKY7WxdXJoxudpyAvQi7eV1v0kSZ2CaC
kwKejG7zGEpXRsJAfVv7t2/cGnHJnZvJNXEhyaZZepplb0jzCbcuX29kd8K1zwpIoJtirmybRjR4
vT+7WTLYPGRH9iFoOylazvCNXGV00qXpUQl6RdKFYFQGVx93BFktpJGLd3k3BuwbgefX6jQsBGWk
NHJ6tnJPlXwZ0PgwYz9eVWmh5vbL4H4Lqyb3EzNEjFgHBWcFHmn3lwV23cJkkXOBh1P8dA3+psqL
RHsz9eaFvI3IQ1Mb++a5ur0hUuep1o8NELoOWdz6jynIRWZxgRYV9ngnWc4X6xM31qs0rxfo+bzD
PUhKv/sT3wX50je7YHNeHyqbQ5mMAzCCTs6Bx8ce3yB9/m+s61tR+9vRf3OmAQf/9OZFD0vxqHli
TgF/ihjm++A/679SJvwHt44N2Q9W1Q+oMIilADGfQM6bDtnTJAI74GTLIC/bVOyZSoxdT8mN8kfn
LNTECwNIqqfYpeJuZXvrSwiV5jwmBbcWc+sf8ixA7KdzMV5C85hxD9xjg+7xOiFXWt0Q4z14mugO
70SEd+UsQv/fybqgg4YZRrbVUWqpkAd6JhqWhnK7oXqhg1tjwqqWqnO4T9hdGFNchk3BdkiaMOOW
tz11clXzMxNqyxCVi8reXCu/spHbHi8MoarYRZn7qUWDAup43LFSucjKeAjOHZgBdnyN1dS3vnIu
+JnLmtDGbHYlT+TH4JDsnKMyUqxGTwqimmy/qGewglc4NRW48S6ljp5wyNOQZKqWSokP0nLiaK7u
eYUS9fVqKLuCnnxZ2ViR8WaEa0uqu+n+tS3UyHY9U8IfN6Z0qIneJHpH5eK6tOl0LRYYFhAhYAJz
fbRQMn+UFEI5vX9s0OsfR6oOrvu1KfzqAuXy2rdDbQR5eWCWkScONpXrxGmvb+2tPsbuMecaBfd3
lUFyEt6tEA0g4kDQ0JQjyM/c/s50oZMuimXq7RMzmOWEBkF/ZNK9lpHSKp++RZDETb8zWgSxVRpa
tmaj4hY9WmbBR1HMs3TgT427coR+BR4bCEt5OaMn13mcwcAKxGUfOPuLlyKKrQMdswodP0ukrA3U
pEjfjVrepl3r/NK8Jjih1sLDy3U7qg/Ae/FpDixEueIoEy/7oVziIVx6MH2Pv8p2L7+2o/8wGi9C
DDIWMFgMat2KOHfWddlAiMmHH6RRMi2GnWukwun6c/NoIYT9+WKhGJfqnuD/5F1YloCPKqL/29Xd
+BckZ16lnFqAPvD6nBNurq/CQn6X5/UqhKPc9jxNNJ2QB0KHP/Zp7dkk4xxuPpriHG8Z8Xi51OwZ
Lvjb7KH/FOddGraFtCnTK95Nywxc7wZ0Uyc4lAfFkWvuQOkqnFin7ZO4q6BY/IdhYrAh75SOrHDl
20tIvlNd8I2xuQQqzwtgC+sLDUuVOh3+kIhjBS5b9S37KVj5M3rWTrtzp+umW240aHkzQpgBgD2L
N/M/JVTv1djmu6uIr4REH+eWkFSUpwi3lwMxjmMy9rr2Dwsy10A96HDppBOKwlD1Uceefv7189Vr
ffQPxnyDJXrA+PrpGDamWElhqYnKe8GId4DT2IAp2C16jfVQPRFnv99EztaK3WR4HtoFMEVEL7wD
hyOdQSeHPgBdsQrSZGOj1mb346SaU25AAxHKBI5EWIy4isFFo7o2yMGmEE9vp2jIOADI+jFity0w
6K3cnYeV8MuYJhsFt0Cxx1Xe8TorJZ527ul+d7RgyidOZeER15o4XrXghCxe0k/3u9iQCkiJbG0d
jKRaFBkc5FWChtVUXCCHZwV7iSXPmoSmFXV9sA5OE014//tE1+Ha0xn2ABkoHrDd/iO9gVc60z2H
pB2ok1x4Pbp62F2Lwz7HE9B1dZi1QS96BsyieYKOHf1nJ3iKCdv8TytWg45MYgXbMySAIDOtLDIP
HJJl3NfqvajyxqHhK289mlJkzDkfc0spn4aM2hXIpcKXG+IXAv3Cn++DxF3sqMXbPUQM+mh5Nm1O
rvjGInW4kqRSXhSVYtYETNaHWg6sFCGnZ/pt7qNCVR2UnSBDkePxjqMVEVPModaVtrlzOy7DxepQ
dmko6yWugRo95nqnpMglgXzLcAm2DiLhbIwf7/IZCWz/gIYwMAo7sUtZJ6vR6CQsk1OfJAfNMxav
CobSl+YEOaiYdG5fnDaOW+DRV4TLiWxQUj5JwqkuQKBP5a6GB49zWattEUen/0uy53c6pfhpy74B
Bt7EPaeH257KqtJaXGgx5OqN8zb89Z404s7T2R+HObbzHnJbWTvLz/H/CdFaZW7lxptHpAYoMqqH
XO/MwV1oihJzMkOoMKPuzF6/aKs3d2tplFvnol4WF/32StGbSUkoOLXaNz4odYzxraUSgjA+vzUs
Z8VHXFjbnRk9U8RAufAFVEymZ/ldLN2p4MPMfmlVnkl/U19lMhTsaQNOfbbbpJuJfnbi2cT4FkzY
Sanp8tRNgvoM4oU9Gh73qDyzjxTUXJMlb15ympQ/Jn8imcqgjAX7X8PgsxxCqc20cnyi7vOxypjs
JtB4W/g9wzyiWPcb9G3ZGdqthUCkPSHzbVvBle4jgcEuHZoDt3wecJY2rNQw3CT+XzHLw8T5Pgky
Qj2tS5Yj7O/WuYMY20ESRmrlt0W5Txq03HkvmNR84eoOPFhne5lRJK508ekMOZRoUgJfF9SScYgq
Y7DtXfNVXCc52dbaYvpXwX3SJUtcoTzqZ0ieQ0Iwb/qXBB1hI/GibTDT+TXh4vaz2y9V1vNZtWSw
EltDEMx721+UKiCc7ViKprjCcwxzOrxS+lhZ7ctNxBhcMfsgTW78tlnpaYVmRcKX1tn3//PyGlba
QH+W8Sr3vvF2QDLfdav1OJ6umwjyQ9SS6xpeRu5thCiibClVQnhyqhi0Ye81XsqDcVz9ea25Q7Wr
N4j37/iRcDS+PgxTdGIiwQ6HYVj2orCx0Ug4PxYoVgwMnXX73RkFlEeefgRMMt7FptirXv7/zHtu
v/hQy4olXuSQ23wy4AL355bNBPnDCIr+Aqy/QkVuNTa17dqQ8C0KjaQOynJtmNAN6BZ9mYBibZrs
Z2Kht5B7BV0wLuOQMj+JhynMXEwly8SiFcNq2OIVT/J9pSopDWXOhf3WF9UPcKk7TQEH8/bJNZqu
ZMH0cyYieLX2P8/v/fe1EEdcsCed3tWJ8EZdW7bWLv1FAfy0qwz2hdxj3JW77oQ9jmFoa1jLVtYo
TsXdAlFipAmFyTWsEEPMgLl5VysrWGXEfh7QaHHsIcDwX9TeJU1GVp8bCf7xe9LdQHpTCepfDg2I
cOYoX/B5lGbyrh5zTj+4pY59bA5U+E4xr6odsXMvvyOoQgr1QYpl2QixvN7VGq7x34XEWu3JyblH
YHs1lJxgCnaLcHGmAzLfbjs3pTOKu70QAiQ4XhyvSwvDJBte1VwSnKiKdfJ5xfA5Ls5hvnJXMbMn
GklcP2oLNaIXbV3IMsU0ptnD9n2fGzi3KyxYyNBTjD/nLiHc/MfXP6gDBkGegCME4PJ5hhU+9Usp
YpZ+FdnJi3aT2TlRHoSIwdpYb6q3iJrg+kWuD7VzHYs38AwoII0+z70W8GlLI3CmsRB4MSYhCS0F
8NrZ+IcgN85AFAw8JF0c22Om3gs1VhkxqFV5ABwjcTPPoh4fn2ArqRVqv98qWf1VrNLWVoqB1ai3
/117XUOuRxIL54dHTxFbK9j7FFXd3H1FauGk6/UZrz4dp1xVfrY97o8SnKcXxeO9Vom3f+bSqiOs
jV9C4Oj5L1/pruGHAvBG3qzK6v7vw8qCtQuVAt4C2a7XxfyCvB7yiCjpGqL60/aTTDatGfrBsmk0
XMHJCVnoFKOxbX7bza6YUt854Nd8IBtH1NSf3VvD2FD1Os0jpwRislOW3iCrful1KCuvAgdymhPU
BTYIxL8F8Hs0N9hZGO4Z1t8tjiMsUZRLnGdAxiOGO494JIiqXmLwP6RUbVJFBkj4iBPW+7EL4OSA
smvg9zWfg9JBt3tFx7ol6uiQlBlBdZrsLwAlykaxeOJe2TddHMILz/5Au3rvw5fSh011vyiQyKPI
//HUTRPM8fqSpZa3QBx4FV9bpBitmymNLWSgingaHcRc7WSKbq94+kMJs1LMpGH0a/uW2ond+Ama
jSG0nk4rQcGwgRVQAy0wSDwV1Y1JAZn1AyG3fOOe+Vt6FIiGg3Z/iq3asz75auZJ7kCokOpxyF/8
EfQHNmUOEnt7tDONdt7ElXn2zs00caFsFJo7Moz+kGK8Tvba3Ls1fSuW0noMgs6obPFmYsnHXGCj
GlbgYzffKkFr1DApb5yYTXvS77boFNcKLpu4GlMBp9n/I0ytrUQVD2VLpQ03f/53BSSGvkshq9oJ
PIZSzz5faSpV8+ruOCMkwMedcsH3Mvug+jCZcMpeVCPkFuhmFqjo1aMybbbL7xkU3Jlo/eeGTu16
QMXLp3cwPamrztbS4Gc7C4N9ixCy39AZ1QrTAhRlbus++HGkW11+KX/eZ1GyLhBqqZwop7hHZfz7
XNV7gfO+/kXqdfBCaOqakwFHzm8+vpQZZJfRsk2eWhE2ccCtSIz+dqR73yQwtiqMZJo/Gw6ATAwR
8XXsdoH40XRIyZ/dgfV8souDclcwJKFz1F6Ef+TdFe4GbVi31O/vU0tG8lt6tCYuROFixUjFi3is
gdTUbi+sBs7Br7sWFGuzRziJUFJoTVZ6SMe71uUYaBM8RSbyEj3NZgpFY1tt+cMCNnMSQ/tu8Aib
vi14JT/Hy3jzuUMby2uiV6mv2Wv6VNX4Mc0stEErPxgRVn+eTUcM0KHdrydL0oIvURhi3EHlLK9+
h60wwfLf+nv5L4Pshctqcw7JVmkcwwQTJHWNNjxRIe7L91tWkLvN4/HGVDx5/Xv1ZZENrVMA+MnQ
dsNCEXYfM5FbMAop85cKS4wVMEmXacBNnO0xu++uj/oMud3U8e8Mfw2ngEXq87h/jdki0NsyXjSx
RBBPZgZdWOmn/5ICa2zdHwlvNYsXnieyWm7Lr9R9RF7B/gg3dhK5q5iD1Ql+raLD2dkBao8MM6Bs
DZIqA9obxA9tqbWJcdRZyx6Qu8x6Jfk+Ps237Kzgc93EoHbW6lpfjCn8RsCEw5/jwyveOeytVyRS
6FSwnrDEJMCAA4w0yh9oGT/MGARvDVF4bUJgXUmZpo+k49ke4w3YzN+G1RQV6W7v1Lw/Mw08N6Z7
mxpAqEtaKW+15u0HSOrWROezZ8oHw70N0wOKlVZXQqhgUauAPb1/aU2Z64ReCGLRbUP+YljYAXfT
O/zTwh9QalXhEIjFSVS45jfl+Kln5YlF/TkoEpGqLJtWaJjpn47g84X8ESkgoPPjYyq5RFxaoPUe
m79sq8DvWx3l/vtASTlc/rh44TNSyGgkW6VEct4fflLrA7RKTyaB5jBi/cnk2p44A7QR/OF45DV0
S/GgaZW0ayPOwjYIy7brTSAcwhiqMyxmLW9TJTdXASSGbAf8y7IDIATgVZUgQXDFkBg+q1LGGzd3
1UHTRRkCQwduPqOzgFKYM+IsgwecNN6D44kXBT99lJ29FhWDaVRyfXvLwBWEH1zn8RrBd0qiJP3a
8pfdSiHbbzoU1DbHvs30Gizmsm3vO/3JVC4XYoLUXGAzmAPHdiIMcwQsLYwAHeo7bPovhkQKDTvT
HzdDwrjY4eh+wPxPempoW+X9v7iK7TrKXrf96oLJvITF46NXI+9FNmpHAPSrbOO/+pHNZPC0T4Hw
W6LdiraBt3KHPoNQxZAot2BS9evc1w0qfpl3aikIRvsaxllc8IEzRjP4Uwxnwba13PxOdhf4nucA
iahCMfCvO5N+GDwEx62hYLS5CaYUH0f/MNOtJHN7UCz7W9qyXKdC5PP0PlGBgPva2NHgmuzONaho
7j7P+QRpDiFGqWjE1ZNr9Cl4YS/CCaWQed1pXZ8HWwQJA75xzU+My9wa7SjkL4PemJOQIkSeasvN
hPnZRgFxzcaehqwqCsazm+gtgZTar+0EyQgPNF67pUcK4YDOq1Lx5meekEFYFT6aBNGM91wLkP1N
RQaNg8b8gX35P1wlG8fwvA6YSGEYl+AXLjIOE8rLonVuzUeUxUCMVOVKhfGKRM3AtmfM/vRhcXFa
rh24eFhThQ5W1brNLpvOiYWC1x+pjCG6gISnlrsRbuxIGDM2ga0YA7wP95b848sjODu3oU8Gl/8O
q68HySRfkOWQwXF6nCUNNyxV3sb/2tM1UM2DPTE349SPTs0VmHWd3+XmPdnlJAT+q7epF8I888SF
PQsV5I69QuawbEVBxStEnU9RJG92lI10VgiTejmdcCy0Vdfm1BR8H9sb2EbhQOZ9MJGzCL9+Qqhk
qSuh+SSKgXepLrcPEj3TJ2r0dWv9He41qMzdWVNgTKcFpjAjoldF9GTRFPo0wgbP3DEVQtc/rzL7
HJXUia8wk/cnyG/3qE3VWmiYX52DzHNE/TeFML5bZgq40TIfcPkFDLTBETJEXkZXWK2TjiErx9+U
7qy4s9u8YWs436r+gsGPBGMch61XA37uuQNzJv2NwKwyyapbTtN1MLAny2dcFv5sbZsEBNmfelgD
VhOTNFmTvZ2dy1GPf6zizjU2IGyxOJH3/ltqt1eaxTxCmykYn1JZzauXxxYgWg2R004u6cRB9X1p
hcWy5oQPBH3q8DUr5Bp8VEOznVNTaD1+sbByNkyWpo+q/pd7S3r6o5hKNEPySpKahq1UdDEm+leE
lPMMnVofBPbAYzQ2OaJW7s7+kes4ZTjrwB/xG2nE42YwhVbMZglzW+ThrsdYjGudLzkqugz19FBT
r6BIdU/w8uSSq/jA8rtsaaHzuB/2QTk7yiRzmoD9yA7NoXKebx9WuykReGsOjH0Eiyg5mQxoiAoG
j2zSxtuEIUcPIQo7xZ6hsLDWA4rwGIZuJMopixbofXUEZUUzyF+5+ZVQf+977luXGMmUgp3GIaN6
jAA8HynLakcXnX4I1EFumzdh7o3yICCH5YvZ8ZzJJKoEBOjvlCL60YGr710ZDVRM5bgisP240gvp
QmnNw2kDVkMXOElaNecHN57oeC4FQE0AAcCm+dApG0gDI4mI8pe0I3Ts7Fx5hPaiI9pZV9ipp017
7tg1iEzB/DsGrTcwsBo+Hr/CZVjbbAUpJt26B/BIT9R8fq540bvJNKhDJ2SoTKgwGOAbjJLAq6yx
YWh/y2XRADl4lUouZIN8L/5Fu1iIJhvXCO40GQVvOR8RTiCn0HNpvHsd5kcWPq0xMzG7hPWryt91
rwXm3idbeVXZ5166okzodEkmfslT0qPQeJoQJmtUPqS9+w19unk/2ueRwfV2Iq1s46C6Bflbj5bE
erxHx2JNBwhMsYrd0Czl45G94InXpR8qEuyoJVeTW1gPEeRuqvuR/65Fg3W6OZNppH7cEw87EBTu
xMxv9xdvO+w2T4NK1ZH5wJ8eVanil3wdSY0ZxfOm15lGe2eRBWi6hU/Oi2G5oFmZ7QnMMafCilIw
nUIwF7jcLUJnNGmHcn18Cg9Mde1FS8jCIjUslWAx0yXykfErPGXDAYFzX2CcB19m/7VbJ6r0HIAd
XDtHPIniCP8k4ddnHuvvtgXw2SLR21wssZ541TpSnIW3F/WOi3pK/HELgbcE/EMd6kWuIz6So6qk
mDA66bPB1pLMHo01DZN6hTH+4UmTfu1u5Z6lm4gnhCQnR1hHbMTPPthnG+mNJbgfDu1OZX2IAVMb
L6Df15R1oUSB+jsUfX+OlkZeQezj7NO6Mqfxu7ihkzZfcv8C1Rkbb5QAWtGQj45cCLj4JyfA1CwR
kPb8i/wJHkFaG31nO2mPn0Zy1SeNNWg+W7t3dsFJTotK7i+gBApeYjU8QcJjh7/tywPG1SVZLMpw
BO2e4smZI9t0wTadM0Zzy6PDj7DI+bGLJsg+vJbLsMaFhkCLEW+yU04oDU1pKTs+tRUdE/6p91Gr
S5kSyK6nRlZ3OABgALiYKu6SarSID/m1BDuPHYgk66l4hJnII8VZXeuCmCvw9DIIlQ3fltISFfKK
DlLpZvY8InxGAnatusjxGEBwhU8RI2MR8t05ea2zEBy/EtYFHaw15914zg3gzU5xplR4ck7/sKhW
wwRyT75K5mRRN1oCiUstW5exGChrfQvZF9FTlssJ/BWdic7gqUSHm/yd/aOONTDX4+OPxQVxkGig
9ek4y0lN5AcWMkyaYDBcbBP6sKyQWT50xPvdOwp01eXv5L4JkiHFE4l2DkuplCUTd2TZ1ze3GOi0
d9cwTlU0wKyNAoMgAfqRnImR+2Tc/URUOo30Y80VbM472r7WP6fFPZSbveS7xq/QUg3TdRTRzD8K
xxpOwG+8DG/56aTekBVJhjpjV/SG3kL3+2MPfpZRLO/koq4qIhxWEJvVfubisn1Us0ZQPT4xDRK9
6C+zVdWv2i3fxdjE7B8eon1CHYze+/JfBjEs8n1Cu5zzUjJOz9RR038f+UO1TjQulxowsvwwtCKF
zOOJR8nnrJSk50qg4OCgzwbGguEvbCJ4C3T9hQy6jLFJlJE4aMJY+jZ+BJPyRPd/A3DyFH2jCMsv
Dvh/aQ+rD4okFV/gulkTKkhWkPq8RTHFkfqKz0j2vKp/tQDMgZ7qPngJV8QghnEQcupfRnn4C5F+
WMWVrmvVxaSK7KvLOu1Ie+iYkK7gjskm/TrsqEpduTvG6y5NVxIzAXtMAmYlaRtPyJvEHtJzCNtM
bzLiYJ/CAKtYo/5tSf0cgmV/OdMah27lcox2AOkVosbd0uJvBcYHbmD8yJhd7W0DqF/JYUFcWXR8
rm4ke4z59Wcq1WmqUkoTJJpPiA4CnCT8XaGo5a4Pr/cneoljU8kWwbBTe4OO5NhG6QrPjpnunkXT
YxPvmeo6vBCWJS68X5ibrmsBINCOkAX63PU3i70IIRaxYJf3q4bolcvaHMlKsDNjVo2QekxmJgK4
BMJVldH/LEbAnuGQp/PqeWDuwu3V1Ph0JXwG2Ad/fMKDJ1GS1bW0vdFSa5mjfCzd09eKtFrQ2vPQ
6CObFaskwFY3KklfVHg9uLH1r6wQ3NhUEyMy27/hRplkZnOgFRVxJaoArzTyF4Wd+yO/LyWhxEtV
ymVQnV9U1qsqlfF0nDLdCn3+2+zA1UIbRk/g/uxTDiphLe1ycZ10mOuEJlt5IT2qAmDs9abYdT08
lyDCJPwe/cC63JoGPmfHgsEBklVlVZ84/Nfu0DDbS7Yv5wYU+Nq3OF8pgS4FNbH3zh+3h4g/iFsk
mswzb7eoemN3DbEDW/JnqucnafJZILXMsmQAp/boRUG2c17hCNYtVDtueAwmerdbnhnQaGybLq9P
88Mmf9z+PrPJZYEwjcb6YVjvuDr0xYlIhJncDHu/aZAobYrQI14CPPxnxJ5xf7zgdCvQluo0Lqp0
f13O8wj0ATky8TnnYOf0aDFxPt+5O376m1pDnC6hq44WgbC/zirsebQlPnyf8uIpNoR64Moqgnuj
4hU+sotUZoqnaFK/nQPcgtsdN0mlWGMC7v31/WT39P7KRtCay4P0/A3zwmcv1kQEdqUoOaiMoqW4
bllPXnwXh0VxhsSj4zGYjKMKJparhO0hoKYIypvJgVVIdznWC8gNy+8IF4yKeVy8s9cImJwIOjOO
ySiNOD7UFV3dZJKW8IFsF3EQiFDtAYHtjcDdcCTVbBLMY/gNHLb8IxIof6AggkvATj/Fws79vuLs
lQiu6Ou3EjTOf4KKrgXZXztS4mBhSwXQmPC03QQX0JlRH2gLdCmtF1g7j4Sz49civmdgcbVGOHKI
KdaAH+os499Vvpgw1KOpnCsvfD4l54SW40jmAqGMlwTZWAE0QZXzJFTlzjwT3xqmR18mhDLwvudm
FTkukPLioVBLhEjvXEFB+lviW7GpD7AGCPb+rtDdsGAcLPxhTqJHzdJRDf963kaMyFY5ou6LDBJO
ls8OanivMJwjHZZ93BtgyDdaVBnjYNWI2zaAgD+hVYqIfVTz6w/5t30W0+4eH5auQYaMWsh6wJQ1
UocD2oYMR1KaWD/9cCl+D1YdaLHhO7+D/4jomYYF1ZmWvB0pMz24someasInzGipMXk9OS4r16BQ
fcGzY6X/0QiGbkSEmiCx2whuX5WeEPMcB8UZw7mw/tfM+Ig46QAQS75ZpRsdCoYVhvaaRFDoamgO
thzQq5bibv+Qadj1tXeDS4pO6dkJcpu0wNdXZFfFKiTMXtMoWKWusby6Kfy2Q+9ngnGklURovd46
wNyFPoeRCUECuGyisjbK3jb6N0LkR+JAns4ULLEYtGSu6/SkQRx+/F5vhh3cP3jB5f/OcAzKaDQ0
c2mnvDqjnrIF2o71myfg0bgqFo26Teys81fy2/wEN+iWUNk1FE+veG2u62VtFrwhRCQWTl6qPW/e
hvTOEvNdBHwiUgYgKwslIuYdOkzBylqC/2WUOzRHOxMH1tWTvW1mZ3BU4PjEsh/mJ6xhz8V8odTs
FN7w6bqo1IaMAxCIB9ln0nl09faE3Qff8BHCaHV78gdWVsja0m3ISQQl7pkY3ZYnA4i03e7idFjU
F0ZiX4ZnURANrFD3Li+hEMU98YYPxzfq27iURpId42kQxE7FSuFLpeTBfsEDomUMXvCJebNiRFkC
MthSwAQWuXdFrjEGE5mkQjmALKPuIsltB3KfEFSfMtU4eYFhMaoql0JjiqBYxjS6tSfqtT6Lc0ed
3TGAJyeNtVl3aG3W+D97XGxvCbq/ZJHjMFPXAy4KG2vY39OcSMyjuKd1DlhMccpo6nWw3sOPr9OI
6sTnSKZ1sm3+WiDJ/YkKAYIs6LLTyzo14AgD1TujTCuwxizhAvZ8n5jdHAdpcbDJAMaaGPACyC68
dtRfPrq/W4psXIqyhs4eAJC9S8sMGxwXriW8iFU8fWAWCLh4kHUqKW3rNYm1gCxSztrIyURYzDIG
ijq5uKjXHiRN5YKmga/iUmjFw2ddgwd6zKFjYikCm6pelpnnno6GxrCK7o14CMPh4fRq1RYnrTv4
z/6tZf3Y1ajn9TZ9EWzuUv0pPKJYD3oObx+aAZUOhCm2k3cnEjzd6QYVbmkJ0oBJzp6oDGySBWMh
fWTjqb0KfmAB1GZMj3hQEU5hD1fYRpp1ma/IpAiyVcKgWVnkK+4Qbw0+Gw/YOKvPe39hXCbWl9Ec
DkQ0Q380WEcnObPxhm3wLfO911l7hXWkD0vj8kdNi2cqsjwZ8hgN8u7isAAvR4HSCXYpAV5xGUCo
8JAQhqITyCUfEbBrbb+bt9K2g1gq1YQsF4HQRcRZ85eBmAkXU5Ch1+OHjF7zTadBGV2Tl1s/CapU
3mJV7enomdLLzuKE9jyVfnOqGc3RpOmLyROf+vnH+JMttuEY40TysZT2mV4+L8iM9DgHgEn04gmy
ZsJhZds0RtgTVmwLpmCtwD7APdvR2tnyvdu7eGApiBO1DHwexRqZ04QPRHLoVY3SjYofvMn7+Jsp
7fbSdy1DIB5H6Y93Tti7Yf5wVEF6JSSGOvJ8elwWCHFarLjwRuS/XDuzkOCBdT4FVyOxfa3Ud8Vg
AKTACTRtX7LyG5JFxc+ssj/r1n+XTfv5CFQWKCVyHTRoVkDsbVXYQwx4G/vVqt82gkmUh1/48uFr
9BsGC6BG/lH9VH+KGGPKLo8SoMy7MgyadNbepdr7KZNSRcyiOnjpold7+MlKBnoSH8+TyX6ObeYw
7WjOryzDoazQ8UhIoGVILqwu9CIn6b6ASzyskXoDqLsCZXkeZ0IDVREAfdc0BR1HwjPk1J5YXFjG
KCO8x7qG4Yyacf296yqcChuqBgfPFmihdGbRrYqzF2L4wElSAzjE28/gC0/XSGNmqhgwxfwaSclu
ZxgV1RFmjQs8Bzyns2Lxe3VuvsAMBbVg4a3Q/zLDI24TO+4vsTie85LL8Lg7uWMSg+G/jrUe7pkG
REBlN7abcAyLBMK2rV4unKwHLheyLd5Ox8sqVLH6mIDpKmITafq5GNKCJVXMz7mx/uqlLYGAdo4h
fmAoAqO4VdGqz9mil3GXiYRpDbF5l20MwdJrelleAxMSdeydSywgmWEP0FogCF8/tj7qeYyAjkUN
P35erbzPbAXFrZ+uFeyqC2wZLc36TFeT5hgBd+1Ntb0BQFqvFZTm0ZOl/MnvAf9vsMESR+dGjDfY
AX3irSiADbMxetDCpw8MOEDAMwZJkxdf0uqdTcbAFqKKy2P+7uZPkUV8LPaUVuaSF/V3i2OLjja2
vVPgyhMoambUok5oB7KhnqTzA9lImLNkM8+gVXzKjZ0NlNz8HdSriTx98mskUdLdI5O5IpUNdP4C
Pd8OTIszJ3imQZo2VnDoy5wmuVUCZU+4vPVfeFEbHmK+oRnwrdK6hLAzncMIn1Nj2wC6uyFrMidq
gB6kqSuHEdbi9DmjeHE/EZC36TR6zM6TI6Bw+nDoSWal7V8vciUO39IhB5RBX0VASCBnykvv8v8g
Ybzg0rc9xMTanD2Fr8u7vcNfZrbfe+OrN0QV2dMAmKmG9IP6TaBv6yPmWbzE/Z1BDFmP9nMF8YYH
S21bOzVLwHm0zqtqShahsK8hmwlhd4bttNqtcNebM6j0FPQUpcSlPdxIBWPNMPC2qvkI36kDcjKw
XzmEZnLWS//s8eItzeTbJf2isw2eaAyfWE5e5t8v0mXgEvBJ2h2A4LBpCwX7WJwZBqMsGQweRRgj
DdY4IADJoFMJlIX+EyMIGR9jY3EINQR7TXlfZmzPdAcVpAxtmMkcO4QRdZJ9lNoYE8ydTtGIGDrz
HIpnsmAdbIbNQDijwXxSZBD4fP6gy7ioBJFRt5Q2e+1KNPjuWi3jvUAxubPPx3XTcOGyAHl47jnj
no3bCyVQ29Z5bod/POKVjC9iV3P6xP1CkD2b5FS79wLV+Bmy23+1wcIDdl2Q8G97aJUOx3T3xzjJ
BaDxMlnWrvyPykSF8lBKZ+QWboR6vKgywoHxgkEri9pJFSAWdBWlPEHI4vGhEyi6NF4N/iEUeLQt
Pys4MMxImrhsyUCuLh5o5prS1fm8uowN6ROsab/U3JlHSk89LrGgCJYPA/O4Rx4OECddGX88kBJf
HKa/8LUQ+HbMYWP4TixmERliUPzagVhpK/RR9UtgCqCrlqEy1bMWjrvYehlTFXYeKir78nSpC1sU
m0q0TDZdVnwVEOpWv1q6Kp8GzBsBgTwq2Z9UvGn0or3XgvCFXFIGh+vl2OSsGR8vySjORDsCkb04
FwY9H5FG0V0eeshEEHQD6D7/RpS20CvIFpF3g+1npk/2V/vD+kLJkeUT3nj2sF60EUR2ArqyB5L7
W4X4EH40IP4tQBFc6jfRcBjrjh4JI44ehr6+Hy2XoPrVWfaOn6ZVLC/ODP/iWaPN0LaeM/z0NVhK
L5I+bfTNNrQqZ52dXdGD2T11RYts7P9q7HPwAQdFUtOxE3iDiFJvjwmJhM/pVM04KDZ1FlDvxgPc
YzIqbVFscziPqN7Weg7WLhKi6uQ7l4IFUC3Rz6v2tEaw1KB2NSn9Ud8P4qC/5RdyxYWlU8AbkEea
b4ukyGaaNKCEUoUtMFSwxugFjPZv9NBOLNc0fIKnEv+o5pCQ4N1/GMwUPeMdG06wQ+NVxMC5LgrQ
/aJWoDMwd8hk8eBLDWwo7P4nKfdIHlWEpbzxQwmmTEjgih3qd76dGt1wAS+5csu7xiegLAaD+NXa
8qrBd5fXFyEhc5xkX0JmhFP6F9+UAkP5iuA249iQsAOl/9T56SHqnd+7beyTimmizzLbLu8eSfyN
expMuL3FApcjAe8pH6jM0pc8805ao/6HB82btr+68QTFdJPrPLBeG2C9hsVaAdJtcBcUKt4T9cW2
BjQCKm0cabHNeaIQCC29kIKJH0NpUvv1C0egO1n8Dh6xFPvg86CmQbTsjiNp4Q5NR9xWeaJqvy+B
hE/iVK9nv24m99PZvWVoVGPHJzf+Gkak+m4ppIRrwJ4a6UQ9peG2CcjzdssaEVP+7OnjnY+73Ynp
RVg+wT5L5NTVs/7Lu81K7sD9KUQojm9XwNA0bxtU0cL65CIxqk3EMjL69Zvj6NBaE+5LhNsLz5Eo
0gWbea4zT5aZBMqiavEL2uLlB0/1wOkpQiRI9UuBhm/srfTitQxA9s5HrZSaOPgLED9/CwW0fMa5
YVi8BtkIQqELEQ3HjJHdYKhAn1a/YlhoOGgzoij/F8kn1bwijHo2Hq2gSa2Ia6pqlv4KF1uL52Rb
DD0Xxsl3XvBQGuOvTaJ6oyGqGm1pIWWdUEwpdgyAevH7+G2Tcap+2pAZbzdLmbXPeV2yFvJsuNqx
kgSAHtiliR6PA/sGmZ5E5VUzKwlNTWj8gmhA1MQNGHOlfZ1RiftL6WJ20NvHXCNBekP8cm/DIkq0
B15iA3FSNuLLutHjKNsgk3O3RQd0/zheHJCYbF4M0aBL+B+L8Ov0ME/BVMDQjwGCcLM/+f72o99/
ksGjO/jPyXy6F9kP3d/tEnaY2euzd6myFi0TmNfXn8c4hy4L43UZd5ksvIs3K+6EXcOmvEIxaBTs
lDnRqAIOVmOxleXhyTwJB+Fo2KTYCFKTC1QmWPQ1bVAvbHxzWBz8reF9cvYVOh0LvwPNT8zVd6mb
N+pEKItQhMAuzKsBrOXN4ISc9rW52W/7t//sqeRwCP8NNrRG/0D5j1KXPgjSu4tfrYleyAR+IK5s
wkoXyYZi6p7hKGlMVYxUNMu44GGRl0HILK86jOPu97n3QueobJMjNwVGfv+dNE0gxkxXeNI5294L
oh2aTTfkmwfgXGRkrySSByi3K6BBAu12MOQJDsJaJxoOILp27+LdHLxc2tRua1pwGvvv0N9RJ+1t
LdWxAcHQmScgsHYAzPFnzUra4WRLdlTOy7F8cigoQcvXNB4XOmoIvJEg/WAuUl8HDeLtc+3sVPtg
NEEfjMNvn/7HWozL70KCTtLdg2wekTEkrHE8UqaFXENZ/Mw36TnZ185s/LeWOkzeLKBwUDLPKV2p
AtveaShn5iCZG4wCMAOdzcw16bl9wEolRVBtEg4zyxNMXWJEsEG5VTvdrsxeg54HlYPWIt7Gcvj5
fexu+haVwMtDN/sCYhE/LqrtdMdd79g8Ntk/QpJ/EzC3cpJZZ9uV0md4yWJLIBU09v9fmD8BcSnE
C9K/cC/tWHfSC8SyNxk/RN9uaLiMsG9wxwxEJBhZ/DnC6YozFb/dWVLguyYK151RCBKkg9CSFsl6
d/sc2BzdLTungXquC16L/9pPFs1Y2SSAxSeiNuBekAC86FxO6ArO/XNnzguNqbZNaFioyXwh4g0y
ZDJVxWvunicEgX9Yi0InVWYya7tDToRJxyr3KQHW4frGhTZFLuxjBO1J9AETjYNBEPR30TbxkkFz
8vR2N4DRwHj1zjgE/fi76GeoAtS47rzh0SI7x4n36EHre1rB/cOiDdq1ysUJ5WEYgDByxOT/qEGF
8dkXrT2NeWGED32AG54B+n6g8AOHE9x+56862C0eN79U0nA16HlQgNoWa1bE2IdWmXEGBl4Bv9ml
KDdK7EkLJur9HAqDe2fzh4IFz6ZNT0S6e18fh2S9vOKA7DV9a3DIdsLk22RLFI9N1G+6xnpXTgWX
4BbsuKFgaH/VEpxkoyaqp3EkIeBvIm+CQH5dxDJlOo84m40+Ewd001KnyTI6erswYIK9LrnOaazV
2kgNs0ETDkvgByXzpqWokwshYdo4+MqewLm0ocT1xCVDg2j5gkE+EJJrjGi/3ryeiKnZmsazgckL
5s6iGmxaI5GBYdnGi8r3Fohr3mczMa46HI7+Qa/N+JlzDbq+gzbexIZ59BujEQlUkVWGKzF7cZaQ
ekEtEnFm2xFZJJ9nkgkM/1mPddFRzTBcaixbOslsjZW1Q5wc7PBTJrklSSn4oOwOM7Ti72rPkfs5
eRaNdWFXlLGxxEO3ar1JDSmAOC71YQj9YJ8iLWk+cTwEIYzhuU52LjUrm6+AXnwa4EOS5YdlRLG2
5SLWRElpm4K0I1gKFMtD11qGqf223cJkOoUjjwEwknG19PWBB6q1jSvgMHsEre6cgLPyDJUMZsNZ
9NHaG4RAaroPX+IiZ1MOUVCi6mMPtgRW5ql5FsLk5aFanFZzHq7bb7yCK4GVWW3P8ofidQTGaUpY
1GV5wAr4wnqV77HrK9PnqE+rfnQt2TlLKg+aVQ1tEpKk4IwQrMD/AlcE8tyY8dmeYNJ4Mse/fn7K
eVHqTk52ZGA5dvfx8KL2hJ3OTkV2UW78ooTsf57O68v2MeGbz7prfjn6al/uLDNN01eTMC7FVosc
RQUeLDGfXvTmJLY+WyfV5Ts69hTLsZGy6d5tDBr5EjczcmXG5fbSGYk58kh1+mag7SfG3nBFXAOC
yi4Iu733apwP9Mj/3WzRMpbmlRH8UmX8iO5osTnDUqhrH0SCiy2aoL3qD7AawdNhZAA2UNIXbtjR
4cDQ9+HJ1K2UGJ7fg+qr38TbFChCFhegoGD4JvQz0ZyB2Ez18qd3pXLzIG3oWPxRrRBINFiUBOty
chBNFxoqyH05lN6wLtBsgiTbmxb6TruvNob22b77LxMkF4bLc5kx6nADfVryjJAT3pgIU7xsRyDh
0aEGOJSueg8b0Vh1m8PBVH5gZsYbBU8qcARe8S9F2tQQgNV0V1kNS+SQhiHZAhEBa2GvM3lBVAcY
pxPho6JLU1tQVIu0KIgKA0hB7gU1RM4vckXhZubzXqKS0O+4TzxrNOMXlSyvCH3MdZD+kPJ246fN
nwu79reRsTVhl+YBERB3aoJZXOXe3xOSeiTqy6IiXlH0DnZMd7Lyt2T4KLUljotdWjdrbCPo9V0o
u4Cx0uTxK8jJygcADcAgj24PP6pr3rGQC3E6fFncClOVEQmJL3vCBIByzpD4mVCIz5v6uQDQ7SY7
JoVymcZKU/gWLFbKJ95ZEI4g4qBs78lj3Zq621Yo0iqYWFOu9gVlDKwobneaXw39w67/q6eyrRJQ
AJUpzvvnduiENdzCmhAwnO02l6xF/TLSST+DcGKPo6ubGsTq0zaHJZDkRDozlMC1H+Zz6aU6TrcB
vNniFqiNf7AK1q2KBRqwhRQ2E2hAuK9P0eApRpzAQVGLOrQo0iHQ3jh28k3WNCH8yGcjCI0t6RwD
Gloha6qDCcq2X33+bMC9WVGyC9LG4OMtPREb7JYOg+8y//+juv3X2Uq1vu3dZaiSz67XgQB/dHcj
WkkEJOCvvzzBLjybuJbSzRWfFshaRNv7atz58RgMDHMd75tg3Yn0ooUPUG0umVQ8aOtqdJopNT7E
hdTvQhy1DdKLeTqSPW5KMZboZyTAXDsPX2K/so7L+XNYnsdaZloLEF+zqHnf8c637qGp7IOc/x08
5YSxBpDvzjS7q45MrTrQlowDytxMQU9Q/0n4G+Av90sfu1mf6Pj3CwOmcm7VyWF6i3LyhYOMk3xP
abtR3bZKFCjevDU9GZ/ii6RZBCvj1uIqPl51ZUvHgIAFF61mUozZhALwvhH861EGmF7xnGZ6Secp
GkYh9aK6gKVGg+oqGVhgdDtebEWSOLkinwVycbCe2GkV3qDFa9/ksUCtSNgTbp9dlM/xelSIuNeD
SS9A/HpQFmUITwIAQGOgQPddWhsckmaXyh+B4HWoVeuLL4dfEjXHtZjU33lvonNc1rl9JFFpb80z
qdg84M7HiE1XgTV/xryPwl2rLB5W1+W1RxiUVwdoRoloyyEYNfGTCFlsvqNB0MdWqh+MeYBbdkHD
It4nDZTE7DUaY0f7cpd45JdvS5VZaqYRYV1u0bdtr3kEt1M1y5mltSnwk35s1sXvzBbsnp5lhDbB
B/miq4EBkm7/Y1UuRAs05o4dsKXrcxurN5U83Hy6pdRGdatdW5hRiwuD9Q47DV1LqJ/SGyC37EFH
249jiM03XXWqyDx0zlYFEs81v2ZLVzPFRRtUy6TKf2P/egTEQF2diXeu2xCbxu+P6/2933W/SyzV
W4pwxzr8SQzGAIy3AltuMCQC6kx3f/8KszjBTLpiuEQAVtxEwhlNobWlYrCGPPRxrDpKPD5pNlCH
+SKf8l4u6TXyUX5dSwJokEDcI6pPFQwDNyAyYKmTjr8Z2csNstDD04CUH/gr5EeNRHzjDDtTEnmU
Gp+r/CqZJipej5tZ+KstQnkfwOJ9hX/KxUBoBDK3Low5Ad+gnfGtSWcVvVSEnEvI0YJqnUlVFst7
7HQRB86oMHrjVghI8Lx662YJ9h/+y8LGQBPnOQtows6WId7jtbFyJcdtZgo/3S2DggUh0PIesoAw
9hep67X4Hf8ibxfJXNTDWW6YIdSpwGVD+3YHcd6TeIkepMnaTXtXTleddO2/sIjP1VcOPJkgHPNY
X1pb1CpPo69E17CWNdfcUmMsz6DTA6ze5rgud2ZTP05rqRmkvUG68DFVwz/jI92F9jK6S23jv0vu
7xqxrD4EeAE0IgCjZXJTm8WDlMy743MoAfApAcCQxZZgBd9VJj2bDfeIIRExNgM/sTuYh+UHPiW8
f8EIbPPan36nz7MOiImkwZP/7+Vx4Flap3/oJH3UndVYwugl7NAgpC23Ua6Fo8s+5T29IOVSgSGg
fR1mGw/I2c+8Zk7p+FF4aYMl0NRg5Vk4Whi2fy2GtQx9bUcKdHVy9pOQfp55uryHbvFww74UhUJL
iq7biyowQ/oKc8UFSmJ5whyijSce/YeNaY43AeddzGU7hDgVfAcO/d6B+6AD7KBR2Ley7BY1Ay47
hqt9p5enfqQPzGDQsDTsjKHABQVUxutc+cvCV/1mbEBfjAvLlahWHW1YFp8dEnb6XXaLNVBz9FLL
gW802//UCQam8YB9DLioYRgyJbdakn1sy9TQNee3uIomEe9iixohd9XHT8IOadd2bZTLJkluYtvH
Zw9pd8V/2HycrnC86S6ffThlp8hSrfYC3K/3VypVCvsTROwXH3z+yk2Ul4SatU+GIsx1sVGN33jE
btmjd8u1ZxWGw6o2rVpq4xQM5jp2g3ErLnnbYNBxj/0ON+3OJvzykrhimBs4qgTH93PhCwvGdeUj
7KWunoSFdOenDYnM6igjde8gVdETdtxfYBAKCFvAPCtRSvuXLAXuj3VAjZdJfbboJ9zTLz2ZT2NH
a37QXl2HTfqc9zBcGl9Z5xHBB5NhshBhkQZNNC5HmdwCg0Chqhkle3rGoKOOSTydF6TvFjvamXOI
WIPEg4bnPAzRReipoXR9S4SEd5ia6rCRNbzvq94LsSJIO2dvZbKlP6IFEF1IHAApYtFdLb6V3DPo
nONLqeCeaL+PDuN9ZPh7YGbymI/nCYrPx5tcNsi0mGmHIfsK4/baY/l2yMlg82iGgo3+xd2LIs99
bdAzmBCGIAG3N7NYAzpxbwZWXBOtnmSzMMCfdY5p+OfhDj37roFRfoGwJX492nWOTH0JNPeueraC
TrqHtbbYtTaDf002yqhICYo9xRS0TbTNVheEnMw+Vez5JgXtrA3OIekhJj/QHwo2BETL3JYzkXY2
F2589d6b3SBCWI7pnVsLqLRyLPj2uoZFdF2I6iUhDeASxqLqjQPXA8atOcgowkmzFbFM/CR2ao24
hacOCgV24Jzq4QDU2tImpP+UrMckbkfJg8ewB0hQYae7mZ1zOnCFodbZiRQSEaw5FmjqvYa+OYXb
pCL189bWUZDpnyf3KXQTaNzCFZdZIYM5pUgBV5ehHjDzWgHJDxTcPib32c8Mow19oVpgxQydTK2L
3MbW4YBgCGYzcY2pQ6islHDJ3uOT3C9Cu1po5khjvFJFSKx+/gT2lxQ1oBP/1FUW874+Xcr6Nh4X
/KTx9ls9qkyzaIt3HBaTEO9Vn5cMrb2bOzDDerFwvUAfJa71we+yQaxUi7pIGSMiJT7SjVaw5JI+
Z8AglvsZDypvIsjXgbIgqXDfbcF64jpj5f+umTTlWYrLg1WJ5WuZvHqwVuXV/HVZAbmPVqYd2DhQ
DPcA6C8elV5GhuXjdQOUeeY/ZM1Qmj6/F1LCk4fEz+VHSkpUKWeWjwVYESHrPM+x1HwUAGoFeE7z
VK3L5aNjFPyM+fTvrw+D8U4KvWPfNbpTn3HuNw5R98/N7vtLvrLhMHvF55R++EF2fu4FY9OatDEX
0nUuP4h7Ys5AqM/DZfxuNl1XqhklMYUbV7KeGHBuLqNFSWiD4n4DwEdBGj7UAmJq7jvTEzdUu+Qo
H8++lnTWgTmj1TY/yVU+K24QDBBAZgaswpOVJnQN5qcL/4tMHNKS2HIxyz8z76gtu20o0Rq6YMe0
EJfL+z9mwxCpJZOzKLwBNPAkuiF1LrieHpMPeQduyLDr64DohWaurJ60PYaJAnHe1xFyurPWxJgK
FxGToBQsSdIqqZLM6NC9WWBN8zCFYW6XUkEPn3dUOrXC9w4b99yoUsvyyy4FPoBpiHwsiAdDgwXo
heMUijlfJ4Oa6wEOCaQ1dQDLBzvfjTuS/dK/+DTG22rtkLr2i1iBI1vYImeTTX5xmVhGr3Ds0Ucr
NacgTYb2rHDzdknDPVtD6lTSK5b2P5LLB9jQoiGiMTYkQPE4/eUFhwHKwv2I1E8BHIVR44C6igNP
2QRDyNX3VeKRSsypwcezFRazGx42q6DNMuNQA/Eo3fkiGemqsKofG0Uc3GNsk+yhUUgf8IidHyoL
WLipH+7oG80LZLrou7fLrI4OmUYASuuPdPhUeggDQ1GMBOdZbJHLg5MnR6iQev2G2JVWPX9yrWW2
aowEr8Y9++Kx8Zd0HbXGmcXyVdQObGmRAhbEguoiuGeVqfvKM9ebsIpHDpOuHkizNhtT0xsKXS3Y
5nMiH14o9OOFzpw3bbVqBDX/xXLZ7to5AeZnI6u/cko+MPHqxs5ZwyD8PVBZrDsonkKmq/9sBjeH
3ChHLx74/k/sphwuQXY8ULH/nVvwZWcXw72W6Xv0cu719Cf5AJM5kUpxaNJ3Pi+9d/I5VH9Ov6i+
fCBBUWwCVl+YUJUIAvOR3igyF3ovUtiHt0kaRA8EquSZ/WeUFBJDMd8VOHLNBDLgROa37pv1oqtN
evOUw5FaXLL07gHmcSffqk7XXdCNEnYWgRguqPt67R8xV4Z+kDzgi1SEky4J13UrUvjhTxhS/Y/u
NU4ipkpKgYmC5DivC0fWV3dQEy21BPjFcV04k5mpQ771d+WeecjvkWsAw93cR/kxertoez8JZ6Ee
QMIs1DtftM5fGVgQveBLBPxdZ4E9uD5cqiO0QqBCO2loxSAcd0jMuDVmufaAyEtYirwjwmK1qHpm
DHkwlrh8QCoP0DmapPYA+OrhM9HJjVLTcv5sZNUsaapMixfh/I+L09BKu9+sx0Ytq2zdEfW/qfE5
FWfvnwdXS85bMHffS1svJthREiF/U5UU75KdqkeXNlb6hedvpt2YRbyxL/nkuxW4B97exnc80kEl
ehyTFdywk5HG5n9SrpLlrjMXvQ3COYcgseOUom12YxZmbgKt6xo8WXLapTHXb1jMzTgr/zx71qkq
o5c/8Dld+GKJhLmwgfRer8jAzZVxpJs9Lh0aJQiVVdvxOrt+Y07ZiVE93NyLB/a/qZGf7ROcHiQJ
Tf3cj/zIGdnPQ//OqagsK/dEdlEo0p1qwCjIl+mROR1Hb5YWvSxzGA/d58EqoYZupTQvp4tYzenb
m+NrgQlpInUzxF/eBXIFgOwXIX2/oy4WfBtlFb3uXoIAfQQieEWP2AxQB+bsXbCvKTyC5CXrIguO
8S0EoAkf7VesxOBj1isPJIQr0d9upAyiQE1Ljws1hEHyrE9sOofYWx34vutBL3L/L2G2wCFpUvzn
v6+PucpE9smvnRuXXCDoo6tHn+boFIqvgh/LZYGRyGdisG5I+0oU5AzIDkZHbNcALllypwmjSZtA
lwwLQAnFj/MPu2vOvL+MoLhr30uvTZiqzluQxET+AGWOS/LetPdqcmwfa/R+dz3evjL5TSNv9vCg
Tyi3dI6hVakMTPGFj6ywSuAT4VejGzTJhZK24jET3fKEJm8EGKXvUMrDv3oE+AyIED99sBU9YC6L
xCpuNJqFU25SJu+DzAEiK1ONrvPXllxi95mMQ5WpEDpi7aTDV6eYQt1ioBNl4yEqPF6ST8lipeH3
qSqqvHADK0y4kR0eg0SWZ9l97eujKVHIG7O4sEuhqK3LbEJe8d/BUTyieJqvbjuVbt6FtsoeYlQn
mr1AvZC521g9THtLMDflV3zxEdbvFiFs9K2GqxzdRp1OjYEbUruQ/hrWd38E097hpdCWoq/Kbfun
oNKTqYfopRmrerbGll1NWYvH9u4cg7GVXYPpqldDgRYQVielWvLlBzJz89Nngkd/pLcsE0ihY+uF
jGH23P5V2JGNqP/Pa7MnLp935bU6tsmeQF6CwfUGQtTK5JVukwSOmUKweQQ1ovAqL3Z17+6in3PG
+9M0/Qrq8ym2qlpamzqDJ1sAEPaPez6yEKzt98chjhJDS7i33zdd8kU8w5JQpypXMZ3aPhctr3CP
+Vmpvs9FqjnsA5nV0LNs4YLTUeWnTwgjLQm9Sns33LGrNAa9Jqb/TjGBc9vUOdVpfo/CDVZKFujA
m8lEEFXQZSPrY86fP9HIECbqFNhV3C2wS4NsoQXwgBXGeVxPdxys16iAvQTO2JMQEoCkTLeay1V1
7PPM5uZHiLEzth4GaniglFiw1XCm+oX3m7XPQRz5ISajED2sHaUYpgTWlYs6rLrfyEmDPObegJP2
LHlip00KGW5ABRsqWZcNn7UnBgcsvTgsChkn64L1Oeggs3iaLMH4g5OhZUpkI3AyKRm9rD1mY7nv
5tTssvCDbuaK+Osn6iTCTJ4grQJdKOYmDfd6U4fB4rsXjeVKQ041ZdvPiuVb7dJzIK8IMYJkfv5O
yBhgY/mCUlJtO02Iedl5dE2at5plUXsXGJcl3dS3bhuON5PzdKJPzXwQ9AI673WVpWs0oPG/8B5o
VhX3VSg3DLNyOhBc02UsX59tfYjzvUYlbeVcISJfTqXnLsUZ0bBKU0RNqevuE2nFWl5BTKLyIxOA
pGG14GqwH4WhI9r1xuOi+bPNZGx1yxpQQPIMXRUuWwuiSDrurHyiQmqLwowj3mg62PY/pItp/mUI
WtWFPfukeCqfhP7OLArEnMQEhzdw05PIpD/bwDtLYihWus3spJRJir3HzmghKlRJBY1y44nGLyGl
AIekM/R1Asg6yQem4GdbceQkvVlwkcYNn40nFSluakDyxbQ3OJdcLI5KUe3LtJ3MsMp9YxIhPUMW
XYQc7ZnLJ54hddNo2DgM9rr0MdMznIcSnyX3iMKEwLnDmpwnwU6QawMTMKpaY+xlLgtSr2Xhz2v4
PRArXQUwlr7jj/z0nkhDf+WHe69/3UwK9gX+tSM1c9ktU6mwiUv+pCxQbO7qGpmaS/9fUcYE7Uqu
avJb6jqrPmPUjXCX7vl8htszdkJqG5h7AMPWeurTmzqqswPRiN/UGiS8pPReruhfDozgbMtM0dfp
Xclx+V5f7zrycaCeCLvljgCDgUNkYHUnKmWwgfp2YsZDStnMBd8rc9MYC+TOHToToKQQtz77h0AU
+flAW+oe1kEuhEo9HmK6vFgubCm0YQtQKDgLiyRczOpLHisFoGnpTOdRZFDD7p/ZDCjZyxY3m7um
poqcoHiVhRPbmZr24D9NK/6FQRYmjQYxDrEANVVPDhAW3vGFQ1SYUIfTIHcuWV53Tmh6EhAGCSlF
COaGQgr0Vs29V9qRHKv/dP+h+O7tKOOrfwwRij+h74x5CR9lY3x57zzXVlV+tdCefthAAIjUC39N
jNQ2/2tY9T3umM8XkFiE3d8NqZZyfry9uTIDeQb9mf5VfuPim1lKLrPwFxeSgfwx7Wf1PT9/YlLG
oPE0kJNnCl9NKGWqVbedyuzW8ct/6I1oKJIY5vsOF3ZEqompNyKs/PXfvqmviVGB11Vm/NXDWwSJ
ylCAcwNRkEGIvRGpkBd3TfO8Lfdv0ZahcL5pXgqWgTHebynYDhiZtWNR9YIVxARMsGPL+5UmpFd0
fYQee58CL9IYYrrUAzDlTsagQVHda68l41pbAFTdVa/sUkR+NhFPqU74zaKrs8YNk6JqEI5Wd7Kz
4CoTMtibc6nZQ9grx5ZbVyGZEsce/Pzp7cdE4rbVbLJ5EyCMbahIRwUpfLknsJYqhOa4qHJFx7g1
3TXqvs2n3lTJiFF2oqeIevxUAsglTtMAiih5RBYiX9aEKNeawZNy15f5hzARPpUatDLpEnHTbjWc
uCg5A6ISBryLyCwGQSMfahQint6ySfmoHm/fygTHZ6b4n6uLrf8wL/Y6PRVKXFKUwnxE1YnH+CE5
WwUpPJ0kkmwEQCg8b9iYE79vFAi36uGnShiosXldQWTrnxSwQQnaeQ8ux9EgDYgsLu+301fc2Gvw
+bfUsHepILk3wjPAJTaX/UF/Czm7h1vgMlFDEji7zY0YJ8O5gvAIb3uS65G9A2Zn1vpcTeY/Bukv
DG3zGCCL9mjcLdDhkf5yfdj4CEStHCX5Ui+EE2OHG34q9wMeSsh/zSie4oL3OT6ZByK11CCbDHk/
mqp/8twcatDf+UVY7Yj3Z2jhXuS2hPM9JlmQyT3ERKy405uzSA72OXEaZwOxzQzaPmlwlAQlEIIx
HsMY/x7FcX680uMQJhVqX2RuBQheewmwLpBp4CK1p+F4HlZamTmlrWxdbIX4Fp7KVbK27fajdh6f
Kv7CDYFV2Lq0TQwmToal6z88S8jFI8SAWVfBDG2wdgicb8R7/2OGxOJ5c4gzddfjWFWaLGpXuiOY
BA9tJ4q6a8px8xhgR9uoR8GP6+VacvxPtMC/gVcoLcQh9/ElLqsKKdknGmukWOltCzrTrUCxRoc8
G7dV6+gKYIizwglsuIjHvWCBbd1QMFPDMtCu7eR8NWng7qrQGCSB8de8PyCCU9jAUVO3ALawknBG
PzHyAnsfl+5S4Vz7jTU5OdbQ2FAXpZpuDfy0jNUZQw3rAGa1/wFzIAtmDSKlw86aMDYPVQbCrJ30
el/vX43YvLPQeRr1Q9I+PNA9yvezXR2Pn6KbS+zpdt53IoUkrRI090I12vQO0NvO0RimVIz8R8yB
Hh0P17o430CltSrqZ35U+XIf2wV5lw/rtxtIMj22/x/NFdK37iV7fT+ION7AsqxLMy8IW/yJVSh+
XjEtk1oFN2oLxjtHuaSLMn4nLnVaA2U9hRaBjW9bpcVwfxm2Q/vYLTSsq2CbGLSFkeWZPLCAxamI
9olZcIA5x2smBgZ68DsJzTCd/InP1QybnsCutoplv59wlRyA226Dh5M05PaORHRxwT4wquXrWXuB
Tq7ujMDDTTB6iZ3cR6dfhugPFi3DsgpPLP7IZ6QHbqSo44kXf4hmh+v/90XSGc+l9gO84RoxLcBU
RiSQExxdD/fVejEQTjJUvL0eQs8Ei2Ds1uOnV13mB6yxHt5/y1YGArdC3Wj9StKzRGRQ9jY64y5y
kTAE9oll2GxPuMqcDaeyydGpNQZy8U8hYpom033t/Q+Vr8MV9kvi0gMTauAcwRA8z58lm7oTVsQQ
ZkXq2WdN58JUWFbKXlkKLoji5jdvORf3dFc6y8ppZJt3gA1CPcOmFmQxi70Oe6Ab9t+LF7THhG9L
cRSxBPPAUWzNtAZRufS9hIqAA8vYSR+nCOgmg5+fFTtP7DTHQZH6srx5dIpkIwLHxD3xcWNJq7n2
u5zIy5JdksNE+Cajz32WjgrXJkPq8A9kTOsKcb3KEeVOXrwT2sGFJxItNU2KgJDhs9w8TG+yGiQc
lsoNfcCle6gU6FfvXJfT1TFteaJ9Dm5oX/h0711xCOO2Hte2cKW2RxpR0z1xD5bWUax3GBc1TiQc
iyXtkxTabbV4E1L9yQAxKsZpU0GCyaoDC8zvrpvbqwPTKfBC4qGBQlU+K23SiLNV8rpgy9qbHOXg
5QT2DDipbQPOGSVU/12EOL9mNUQf6EJfFE6nyk8w99FHLc/enSQDDjnD/ogB+AlcJULAXcjqcWYj
L1hAn+JP/ZCZTzx3kL75BesAPbvpZ3PDrKOJNdAZmrnoM5fnlUs9Pb2iVTJwL04bmuyc8in0w8rT
ep0mDlpzeVpD6MxGQCS+ULhbusyKvM5BJ8ygLuEPaN1JIpERge7Ttr9ZioXem3oSGzvLhBQ9YAB8
LB3ToOhhWRTugY0kQzu1lirjtH+jzQ9QSs4+pffCNPE2YTQUtBfekJfgBVQS/lwgxvTQ+MnbUTPp
ZJjc8MQQGRCALZ811nfoyf22bZ7b67azU+55rI2JmTdZeGMo8ngdWefm8LXIu+3b3KA4UYet3F5m
v1Z+1Eo4g/Lovy8+XZCXJ+JXV34qwP6DD1/UGOUJw4YYpGAo8pDxOjDX4V7KucTDgHqNo9WrkO69
gs88v/kFproAnLNo2ubm1bwghYxDdxQKsxGE+fdlifbXrJWKEH18whd5FKhcG/7tQDBUdrkNbkXR
fIj9PqU5hGhKdCRkj460HBTm4B05YqjFxX3MhhJ9dErTzBHzNGgoXV0QScXIGfMR6hCWcwcQzc07
xByMkvNXaxKGlbdrHU4TGdkfNBa9///txPZUyGbZLtBftZ9WX2T2JiYDRjRrNyDxxmQ64RmoCMgw
QOFjVIQ7SMrp0LritV3vprE7f5VUpmkjrQ/A1DlyewSr2Y7Ko7+29dplebNQrp6OWuxrpmS7dy75
9afzr+BddFXhYmBixE0vcdugkVj5C3srUbeeiYIngHiMF4j67UdBuBRnvE5KwuQclFbw2D2CIHgN
JYOpp0fFEJvCHxxdhFtldbnOpnfeSAumnWK8w6HtM1NoLmiBxJdgst27klndadE3yYW85A8bYmZo
5awZDc2xCTkOYye1SQ5F0JBq02yZ7pf/0tWNiwEnQ//H+M/71jilW/aKPbCo8Ufk3V7FRIRreNSx
smcshRUip/9PxNpZH8xwGrNt+4MhGr2YNDFcvImonGYFT9Z4IzPvPdf1Fb8LUCzfqP6a8BLAsK6j
EFrl7RuWancDPI03vtFhnHfpR44igMkW9cOrf47bKvmCU9iTJogwzA9Lkn+eAdJsbW8Tq2M3N0Nc
sR6JKcCIG+t+UhF8aknsZ4C4GYUMYCaqkh/mMW0zkGO2utFqtKBGdKIC9ctDomvQn8I4RNdD8wWV
DVTyVaSYnIaJkmEtINv/yNkA+JP1OjnDdRsm+fuutXITXop5YfDbqdkuSWbicwHngyxereppNddp
QCBEjxpbjW9Rd2Px9cXLh/0OcR7Mszw+VzOSZzP1DB07/9aXWzcYusof46uFgnAjt8g6UhngFRq/
Qj535tDW6EEAlWsoW3gtp6+zLWqSOAy2lPf9csqvLRlSYVlVNQzdI7fWtEjE51IinjRmCaQHqrdk
TFJFUz7q2SoHYPYb3v7MLJOdmJ8AVVcNSHIm9M763LdX/63ADkI2IYVwPF7+jfACL76jPqeB3smE
mgAv0uEdPHYeFkmS9gQC84vUYewoxQy6hsRLGPVnDR4IiyNtNxwtY5+doomVutjl1TUn3L+YHVeN
n34niX7+ihBXUXVnttIGZk3MOVPpxEPgr29rolvWJ+lIeYb6ShSQQbuvGrkSyG6hnBJmKl8GCrCx
h1CKXqsEKXOqJ4v3t+hrOLUKa3V/fd458QM6otCcYihEDmkBtKFeRHcNcbvxPiMIbNRKYeZapXsz
0/j03y7jiqMCWjCgMO/keB2HLIdw16ie+wTu1M06ABX7gZQH3OxQhsi8hqT9raNK9lPAEt2UuI9z
y7gyqzbQmH4cGU9aeqwXQ8+LUXmge6Jt9oJ+xvm2eezbU9q/G4FXZMP31iMRo9iue71C1EjS6+VZ
aBEdi0sGPjBGSEy/JAb62diyvnlieIKLga9EIXio1hYNkLoQToNgl5VAJPwnkanXCogC8G06obwV
YWcudtVB6SH4G9DXjUp3beOEE4Ziwg6AjV/+R/cWNjfeoCSpipu64i8gupePPdsykp/X+w+OFHI4
fIDwlLrhAs+9YPVh381LobSD7dRSR8+64Hhid4zEHykb1t7F67FSX2PmVk4XY/CIEUnA2bVGn8Il
MbjBWokGrmtM5A/xvbHxPnruvEoOXFtumSaoBNiDZCS+JSFqIoxN3Xpmf4wuye5BSmdwWBo/6mVj
D1UE+wt4jBmiZaR4PH0UbfvXirZd1XXxJzzWndFLEpzk91HUXw14bBcaO+pGDTiAVhPFHPIbEMp7
nExmpGc7pgc+d8Or0PRztoA6XKPH6XwNoJUJYzwF0GHcPog1RuYinWKqDknjBGlxibY0MBuRM4sy
YjwILomZU0eI4L+GSuKGgXOckxlo2hgxouLMzJG7FuAua4Ou7t7guvxcUOpIsy609aNzPp7LrlLh
TStUm6PNh33jYTrC0Ebo9uzMbAoM8uEAD0wgU1sbj4GDzspvBuJtDvPPaHL7pQ/f3TTE3bDZsX8w
LjLQTqbR0uXr6i/4FLgn5mlqKWd2G/9QfvNgZJv319DTsq26q7OP9sYaOu1qbd0ebQPwLh3HW03P
XXCxQcO2RxYxqMUvICDP1/shifXDCYBgk/YIyjRF3GxqymiJt4JKP1ZIKFl8laBRQ83DtxWYqzzB
pwIMXR/OnZoqgsaUriR/mYuCOb8eoFhUEsSCnWu/+dNpvYforYBj/PmlQXbEn3T0jUlxOhnTcOnG
CRNVfFIADy2pep93hDE3LNB/lcO3Aq+kZiZ/PstPLLbkNpl3m8c+1CqJmDg4V2s4Ojf60n3tbhID
zhTnomXPTzDPZFR3437BMfC7P16u/DiNNdW4W1q7BCSk21+zCxOCE5lclqFuBDqLzskeDsGIn09n
02VuVWV3aXhfdZnsfya2/tsg8vELjoW7TDFvpB+rlDgTgk3lV/F5GlM7eSjJCgojbfQmrrJzDM4F
IxpNQ9FAV+nBurVCAW7YXGTx7riGTUMwinRW8UFJGHh58RO63H3+XngXcd0kF8J+0yJR8JT7+do1
QcLbIrpY2cjrfnfBycTWd2kW/eg7ZSF+hoRQOH2weQPqn6yGXrIDqHa3rMFH3cA/TOkd9URtRy4/
b2ZonzhOV4rSRmi91aVV0YIQicyawCUDdg8D954flIN4AgT0zCYtBo9DWUsFEUH3aDu413R0K/K/
MvB980WnqNo2P/lmqgo4Oi9QTWZkatpgkL63FnAZKfpha3vAVvQCliVn+Ih+weYTitMn4S2tYMs8
NyBKoQ5abafVThQ1H5MfIALk8PBumfqW5znRL49BnDj+4aNFe5AuoDFVvHagIYPhkz3Smn28iG8o
3v0UOLFPczt3fs2I8qsX6+6cXjvCkKdoVOPWXd4dUOaxIFA/rV4p6HooBodXKtwgXjgwL0lDi+hY
Cujpsy/2O589EWH5lT9Un8yMRRDJoB92X0dg27ugeeUINEN30hYAyoF3PpPOKDap/NKKt3sXvb+E
oRaEI5TRqM7QbwGkXKkJLJkeI/Fd9Ii7zips6hOO75uglX50DHHOmQKGPrLGjRhJQ9SC/G6yEl/C
t/aacoiSmU7f4qUynETRN+ywHDkF/n9mZJfts9kCVMZiyQboiPCXADNKUKUkh/aaPXjavlX5F8wz
A4Fqh03dJML5GA8WYcv/ipJ3+WyC8XvYSXOugWKfn0KPrkhma6CbE4ffz9+Jxx5UwghAGC4GqyG1
O/es70FhUAl00tw5ITc91W2nbYHyq1MMQz9EbvAxYpfJV9Oy4MSkEjkffUhX
`protect end_protected
|
----------------------------------------------------------------------------
-- UART_TX_CTRL.vhd -- UART Data Transfer Component
----------------------------------------------------------------------------
-- Author: Sam Bobrowicz
-- Copyright 2011 Digilent, Inc.
----------------------------------------------------------------------------
--
----------------------------------------------------------------------------
-- This component may be used to transfer data over a UART device. It will
-- serialize a byte of data and transmit it over a TXD line. The serialized
-- data has the following characteristics:
-- *9600 Baud Rate
-- *8 data bits, LSB first
-- *1 stop bit
-- *no parity
--
-- Port Descriptions:
--
-- SEND - Used to trigger a send operation. The upper layer logic should
-- set this signal high for a single clock cycle to trigger a
-- send. When this signal is set high DATA must be valid . Should
-- not be asserted unless READY is high.
-- DATA - The parallel data to be sent. Must be valid the clock cycle
-- that SEND has gone high.
-- CLK - A 100 MHz clock is expected
-- READY - This signal goes low once a send operation has begun and
-- remains low until it has completed and the module is ready to
-- send another byte.
-- UART_TX - This signal should be routed to the appropriate TX pin of the
-- external UART device.
--
----------------------------------------------------------------------------
--
----------------------------------------------------------------------------
-- Revision History:
-- 08/08/2011(SamB): Created using Xilinx Tools 13.2
----------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.std_logic_unsigned.all;
entity UART_TX_CTRL is
Port ( SEND : in STD_LOGIC;
DATA : in STD_LOGIC_VECTOR (7 downto 0);
CLK : in STD_LOGIC;
READY : out STD_LOGIC;
UART_TX : out STD_LOGIC);
end UART_TX_CTRL;
architecture Behavioral of UART_TX_CTRL is
type TX_STATE_TYPE is (RDY, LOAD_BIT, SEND_BIT);
constant BIT_TMR_MAX : std_logic_vector(13 downto 0) := "10100010110000"; --10416 = (round(100MHz / 9600)) - 1
constant BIT_INDEX_MAX : natural := 10;
--Counter that keeps track of the number of clock cycles the current bit has been held stable over the
--UART TX line. It is used to signal when the ne
signal bitTmr : std_logic_vector(13 downto 0) := (others => '0');
--combinatorial logic that goes high when bitTmr has counted to the proper value to ensure
--a 9600 baud rate
signal bitDone : std_logic;
--Contains the index of the next bit in txData that needs to be transferred
signal bitIndex : natural;
--a register that holds the current data being sent over the UART TX line
signal txBit : std_logic := '1';
--A register that contains the whole data packet to be sent, including start and stop bits.
signal txData : std_logic_vector(9 downto 0);
signal txState : TX_STATE_TYPE := RDY;
begin
--Next state logic
next_txState_process : process (CLK)
begin
if (rising_edge(CLK)) then
case txState is
when RDY =>
if (SEND = '1') then
txState <= LOAD_BIT;
end if;
when LOAD_BIT =>
txState <= SEND_BIT;
when SEND_BIT =>
if (bitDone = '1') then
if (bitIndex = BIT_INDEX_MAX) then
txState <= RDY;
else
txState <= LOAD_BIT;
end if;
end if;
when others=> --should never be reached
txState <= RDY;
end case;
end if;
end process;
bit_timing_process : process (CLK)
begin
if (rising_edge(CLK)) then
if (txState = RDY) then
bitTmr <= (others => '0');
else
if (bitDone = '1') then
bitTmr <= (others => '0');
else
bitTmr <= bitTmr + 1;
end if;
end if;
end if;
end process;
bitDone <= '1' when (bitTmr = BIT_TMR_MAX) else
'0';
bit_counting_process : process (CLK)
begin
if (rising_edge(CLK)) then
if (txState = RDY) then
bitIndex <= 0;
elsif (txState = LOAD_BIT) then
bitIndex <= bitIndex + 1;
end if;
end if;
end process;
tx_data_latch_process : process (CLK)
begin
if (rising_edge(CLK)) then
if (SEND = '1') then
txData <= '1' & DATA & '0';
end if;
end if;
end process;
tx_bit_process : process (CLK)
begin
if (rising_edge(CLK)) then
if (txState = RDY) then
txBit <= '1';
elsif (txState = LOAD_BIT) then
txBit <= txData(bitIndex);
end if;
end if;
end process;
UART_TX <= txBit;
READY <= '1' when (txState = RDY) else
'0';
end Behavioral;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2583.vhd,v 1.2 2001-10-26 16:30:20 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c13s03b01x00p02n01i02583ent IS
END c13s03b01x00p02n01i02583ent;
ARCHITECTURE c13s03b01x00p02n01i02583arch OF c13s03b01x00p02n01i02583ent IS
BEGIN
TESTING: PROCESS
variable k% : integer := 0;
BEGIN
assert FALSE
report "***FAILED TEST: c13s03b01x00p02n01i02583 - Identifier can not end with '%'."
severity ERROR;
wait;
END PROCESS TESTING;
END c13s03b01x00p02n01i02583arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2583.vhd,v 1.2 2001-10-26 16:30:20 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c13s03b01x00p02n01i02583ent IS
END c13s03b01x00p02n01i02583ent;
ARCHITECTURE c13s03b01x00p02n01i02583arch OF c13s03b01x00p02n01i02583ent IS
BEGIN
TESTING: PROCESS
variable k% : integer := 0;
BEGIN
assert FALSE
report "***FAILED TEST: c13s03b01x00p02n01i02583 - Identifier can not end with '%'."
severity ERROR;
wait;
END PROCESS TESTING;
END c13s03b01x00p02n01i02583arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2583.vhd,v 1.2 2001-10-26 16:30:20 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c13s03b01x00p02n01i02583ent IS
END c13s03b01x00p02n01i02583ent;
ARCHITECTURE c13s03b01x00p02n01i02583arch OF c13s03b01x00p02n01i02583ent IS
BEGIN
TESTING: PROCESS
variable k% : integer := 0;
BEGIN
assert FALSE
report "***FAILED TEST: c13s03b01x00p02n01i02583 - Identifier can not end with '%'."
severity ERROR;
wait;
END PROCESS TESTING;
END c13s03b01x00p02n01i02583arch;
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.4 (win64) Build 1733598 Wed Dec 14 22:35:39 MST 2016
-- Date : Mon Feb 13 12:45:00 2017
-- Host : WK117 running 64-bit major release (build 9200)
-- Command : write_vhdl -force -mode funcsim -rename_top system_dlmb_v10_0 -prefix
-- system_dlmb_v10_0_ system_ilmb_v10_0_sim_netlist.vhdl
-- Design : system_ilmb_v10_0
-- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or
-- synthesized. This netlist cannot be used for SDF annotated simulation.
-- Device : xc7a35ticsg324-1L
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity system_dlmb_v10_0_lmb_v10 is
port (
LMB_Clk : in STD_LOGIC;
SYS_Rst : in STD_LOGIC;
LMB_Rst : out STD_LOGIC;
M_ABus : in STD_LOGIC_VECTOR ( 0 to 31 );
M_ReadStrobe : in STD_LOGIC;
M_WriteStrobe : in STD_LOGIC;
M_AddrStrobe : in STD_LOGIC;
M_DBus : in STD_LOGIC_VECTOR ( 0 to 31 );
M_BE : in STD_LOGIC_VECTOR ( 0 to 3 );
Sl_DBus : in STD_LOGIC_VECTOR ( 0 to 31 );
Sl_Ready : in STD_LOGIC_VECTOR ( 0 to 0 );
Sl_Wait : in STD_LOGIC_VECTOR ( 0 to 0 );
Sl_UE : in STD_LOGIC_VECTOR ( 0 to 0 );
Sl_CE : in STD_LOGIC_VECTOR ( 0 to 0 );
LMB_ABus : out STD_LOGIC_VECTOR ( 0 to 31 );
LMB_ReadStrobe : out STD_LOGIC;
LMB_WriteStrobe : out STD_LOGIC;
LMB_AddrStrobe : out STD_LOGIC;
LMB_ReadDBus : out STD_LOGIC_VECTOR ( 0 to 31 );
LMB_WriteDBus : out STD_LOGIC_VECTOR ( 0 to 31 );
LMB_Ready : out STD_LOGIC;
LMB_Wait : out STD_LOGIC;
LMB_UE : out STD_LOGIC;
LMB_CE : out STD_LOGIC;
LMB_BE : out STD_LOGIC_VECTOR ( 0 to 3 )
);
attribute C_EXT_RESET_HIGH : integer;
attribute C_EXT_RESET_HIGH of system_dlmb_v10_0_lmb_v10 : entity is 1;
attribute C_LMB_AWIDTH : integer;
attribute C_LMB_AWIDTH of system_dlmb_v10_0_lmb_v10 : entity is 32;
attribute C_LMB_DWIDTH : integer;
attribute C_LMB_DWIDTH of system_dlmb_v10_0_lmb_v10 : entity is 32;
attribute C_LMB_NUM_SLAVES : integer;
attribute C_LMB_NUM_SLAVES of system_dlmb_v10_0_lmb_v10 : entity is 1;
end system_dlmb_v10_0_lmb_v10;
architecture STRUCTURE of system_dlmb_v10_0_lmb_v10 is
signal \^m_abus\ : STD_LOGIC_VECTOR ( 0 to 31 );
signal \^m_addrstrobe\ : STD_LOGIC;
signal \^m_be\ : STD_LOGIC_VECTOR ( 0 to 3 );
signal \^m_dbus\ : STD_LOGIC_VECTOR ( 0 to 31 );
signal \^m_readstrobe\ : STD_LOGIC;
signal \^m_writestrobe\ : STD_LOGIC;
signal \^sl_ce\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^sl_dbus\ : STD_LOGIC_VECTOR ( 0 to 31 );
signal \^sl_ready\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^sl_ue\ : STD_LOGIC_VECTOR ( 0 to 0 );
signal \^sl_wait\ : STD_LOGIC_VECTOR ( 0 to 0 );
attribute BOX_TYPE : string;
attribute BOX_TYPE of POR_FF_I : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM : string;
attribute XILINX_LEGACY_PRIM of POR_FF_I : label is "FDS";
begin
LMB_ABus(0 to 31) <= \^m_abus\(0 to 31);
LMB_AddrStrobe <= \^m_addrstrobe\;
LMB_BE(0 to 3) <= \^m_be\(0 to 3);
LMB_CE <= \^sl_ce\(0);
LMB_ReadDBus(0 to 31) <= \^sl_dbus\(0 to 31);
LMB_ReadStrobe <= \^m_readstrobe\;
LMB_Ready <= \^sl_ready\(0);
LMB_UE <= \^sl_ue\(0);
LMB_Wait <= \^sl_wait\(0);
LMB_WriteDBus(0 to 31) <= \^m_dbus\(0 to 31);
LMB_WriteStrobe <= \^m_writestrobe\;
\^m_abus\(0 to 31) <= M_ABus(0 to 31);
\^m_addrstrobe\ <= M_AddrStrobe;
\^m_be\(0 to 3) <= M_BE(0 to 3);
\^m_dbus\(0 to 31) <= M_DBus(0 to 31);
\^m_readstrobe\ <= M_ReadStrobe;
\^m_writestrobe\ <= M_WriteStrobe;
\^sl_ce\(0) <= Sl_CE(0);
\^sl_dbus\(0 to 31) <= Sl_DBus(0 to 31);
\^sl_ready\(0) <= Sl_Ready(0);
\^sl_ue\(0) <= Sl_UE(0);
\^sl_wait\(0) <= Sl_Wait(0);
POR_FF_I: unisim.vcomponents.FDSE
generic map(
INIT => '1'
)
port map (
C => LMB_Clk,
CE => '1',
D => '0',
Q => LMB_Rst,
S => SYS_Rst
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity system_dlmb_v10_0 is
port (
LMB_Clk : in STD_LOGIC;
SYS_Rst : in STD_LOGIC;
LMB_Rst : out STD_LOGIC;
M_ABus : in STD_LOGIC_VECTOR ( 0 to 31 );
M_ReadStrobe : in STD_LOGIC;
M_WriteStrobe : in STD_LOGIC;
M_AddrStrobe : in STD_LOGIC;
M_DBus : in STD_LOGIC_VECTOR ( 0 to 31 );
M_BE : in STD_LOGIC_VECTOR ( 0 to 3 );
Sl_DBus : in STD_LOGIC_VECTOR ( 0 to 31 );
Sl_Ready : in STD_LOGIC_VECTOR ( 0 to 0 );
Sl_Wait : in STD_LOGIC_VECTOR ( 0 to 0 );
Sl_UE : in STD_LOGIC_VECTOR ( 0 to 0 );
Sl_CE : in STD_LOGIC_VECTOR ( 0 to 0 );
LMB_ABus : out STD_LOGIC_VECTOR ( 0 to 31 );
LMB_ReadStrobe : out STD_LOGIC;
LMB_WriteStrobe : out STD_LOGIC;
LMB_AddrStrobe : out STD_LOGIC;
LMB_ReadDBus : out STD_LOGIC_VECTOR ( 0 to 31 );
LMB_WriteDBus : out STD_LOGIC_VECTOR ( 0 to 31 );
LMB_Ready : out STD_LOGIC;
LMB_Wait : out STD_LOGIC;
LMB_UE : out STD_LOGIC;
LMB_CE : out STD_LOGIC;
LMB_BE : out STD_LOGIC_VECTOR ( 0 to 3 )
);
attribute NotValidForBitStream : boolean;
attribute NotValidForBitStream of system_dlmb_v10_0 : entity is true;
attribute CHECK_LICENSE_TYPE : string;
attribute CHECK_LICENSE_TYPE of system_dlmb_v10_0 : entity is "system_ilmb_v10_0,lmb_v10,{}";
attribute downgradeipidentifiedwarnings : string;
attribute downgradeipidentifiedwarnings of system_dlmb_v10_0 : entity is "yes";
attribute x_core_info : string;
attribute x_core_info of system_dlmb_v10_0 : entity is "lmb_v10,Vivado 2016.4";
end system_dlmb_v10_0;
architecture STRUCTURE of system_dlmb_v10_0 is
attribute C_EXT_RESET_HIGH : integer;
attribute C_EXT_RESET_HIGH of U0 : label is 1;
attribute C_LMB_AWIDTH : integer;
attribute C_LMB_AWIDTH of U0 : label is 32;
attribute C_LMB_DWIDTH : integer;
attribute C_LMB_DWIDTH of U0 : label is 32;
attribute C_LMB_NUM_SLAVES : integer;
attribute C_LMB_NUM_SLAVES of U0 : label is 1;
begin
U0: entity work.system_dlmb_v10_0_lmb_v10
port map (
LMB_ABus(0 to 31) => LMB_ABus(0 to 31),
LMB_AddrStrobe => LMB_AddrStrobe,
LMB_BE(0 to 3) => LMB_BE(0 to 3),
LMB_CE => LMB_CE,
LMB_Clk => LMB_Clk,
LMB_ReadDBus(0 to 31) => LMB_ReadDBus(0 to 31),
LMB_ReadStrobe => LMB_ReadStrobe,
LMB_Ready => LMB_Ready,
LMB_Rst => LMB_Rst,
LMB_UE => LMB_UE,
LMB_Wait => LMB_Wait,
LMB_WriteDBus(0 to 31) => LMB_WriteDBus(0 to 31),
LMB_WriteStrobe => LMB_WriteStrobe,
M_ABus(0 to 31) => M_ABus(0 to 31),
M_AddrStrobe => M_AddrStrobe,
M_BE(0 to 3) => M_BE(0 to 3),
M_DBus(0 to 31) => M_DBus(0 to 31),
M_ReadStrobe => M_ReadStrobe,
M_WriteStrobe => M_WriteStrobe,
SYS_Rst => SYS_Rst,
Sl_CE(0) => Sl_CE(0),
Sl_DBus(0 to 31) => Sl_DBus(0 to 31),
Sl_Ready(0) => Sl_Ready(0),
Sl_UE(0) => Sl_UE(0),
Sl_Wait(0) => Sl_Wait(0)
);
end STRUCTURE;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: tap_altera
-- File: tap_altera_gen.vhd
-- Author: Edvin Catovic - Gaisler Research
-- Description: Altera TAP controllers wrappers
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
-- pragma translate_off
library altera_mf;
use altera_mf.altera_mf_components.all;
use altera_mf.sld_virtual_jtag;
-- pragma translate_on
entity altera_tap is
port (
tapi_tdo1 : in std_ulogic;
tapi_tdo2 : in std_ulogic;
tapo_tck : out std_ulogic;
tapo_tdi : out std_ulogic;
tapo_inst : out std_logic_vector(7 downto 0);
tapo_rst : out std_ulogic;
tapo_capt : out std_ulogic;
tapo_shft : out std_ulogic;
tapo_upd : out std_ulogic;
tapo_xsel1 : out std_ulogic;
tapo_xsel2 : out std_ulogic
);
end;
architecture rtl of altera_tap is
signal ir0 : std_logic_vector(7 downto 0);
component sld_virtual_jtag
generic (
--lpm_hint : string := "UNUSED";
--lpm_type : string := "sld_virtual_jtag";
sld_auto_instance_index : string := "NO";
sld_instance_index : natural := 0;
sld_ir_width : natural := 1;
sld_sim_action : string := "UNUSED"
--sld_sim_n_scan : natural := 0;
--sld_sim_total_length : natural := 0
);
port(
ir_in : out std_logic_vector(sld_ir_width-1 downto 0);
ir_out : in std_logic_vector(sld_ir_width-1 downto 0);
jtag_state_cdr : out std_logic;
jtag_state_cir : out std_logic;
jtag_state_e1dr : out std_logic;
jtag_state_e1ir : out std_logic;
jtag_state_e2dr : out std_logic;
jtag_state_e2ir : out std_logic;
jtag_state_pdr : out std_logic;
jtag_state_pir : out std_logic;
jtag_state_rti : out std_logic;
jtag_state_sdr : out std_logic;
jtag_state_sdrs : out std_logic;
jtag_state_sir : out std_logic;
jtag_state_sirs : out std_logic;
jtag_state_tlr : out std_logic;
jtag_state_udr : out std_logic;
jtag_state_uir : out std_logic;
tck : out std_logic;
tdi : out std_logic;
tdo : in std_logic;
tms : out std_logic;
virtual_state_cdr : out std_logic;
virtual_state_cir : out std_logic;
virtual_state_e1dr : out std_logic;
virtual_state_e2dr : out std_logic;
virtual_state_pdr : out std_logic;
virtual_state_sdr : out std_logic;
virtual_state_udr : out std_logic;
virtual_state_uir : out std_logic
);
end component;
begin
tapo_rst <= '0';
tapo_xsel1 <= '0'; tapo_xsel2 <= '0';
u0 : sld_virtual_jtag
generic map (sld_ir_width => 8,
sld_auto_instance_index => "NO",
sld_instance_index => 0)
port map (ir_in => tapo_inst,
ir_out => ir0,
jtag_state_cdr => open,
jtag_state_cir => open,
jtag_state_e1dr => open,
jtag_state_e1ir => open,
jtag_state_e2dr => open,
jtag_state_e2ir => open,
jtag_state_pdr => open,
jtag_state_pir => open,
jtag_state_rti => open,
jtag_state_sdr => open,
jtag_state_sdrs => open,
jtag_state_sir => open,
jtag_state_sirs => open,
jtag_state_tlr => open,
jtag_state_udr => open,
jtag_state_uir => open,
tck => tapo_tck,
tdi => tapo_tdi,
tdo => tapi_tdo1,
tms => open,
virtual_state_cdr => tapo_capt,
virtual_state_cir => open,
virtual_state_e1dr => open,
virtual_state_e2dr => open,
virtual_state_pdr => open,
virtual_state_sdr => tapo_shft,
virtual_state_udr => tapo_upd,
virtual_state_uir => open);
end;
|
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
use work.types.all;
entity cpu is
port(clk : in std_logic;
reset : in std_logic;
read_data : in reg_t;
addr : out reg16_t;
we : out std_logic;
write_data : out reg_t);
end entity;
architecture rtl of cpu is
type state_t is (state_idle, state_read_instr, state_decode_instr);
signal a, f, b, c, d, e, h, l : reg_t;
signal af, bc, de, hl, sp, pc : reg16_t;
signal state : state_t;
begin
datapath_proc:
process(clk, reset)
begin
end process;
control_proc:
process(clk, reset)
begin
if reset = '1' then
elsif rising_edge(clk) then
case state is
when state_idle =>
when state_read_instr =>
addr <= pc;
state <= state_decode_instr;
when state_decode_instr =>
end case;
end if;
end process;
af <= a & f;
bc <= b & c;
de <= d & e;
hl <= h & l;
end architecture;
|
--------------------------------------------------------------------------------
-- ****
-- T80(c) core. Attempt to finish all undocumented features and provide
-- accurate timings.
-- Version 350.
-- Copyright (c) 2018 Sorgelig
-- Test passed: ZEXDOC, ZEXALL, Z80Full(*), Z80memptr
-- (*) Currently only SCF and CCF instructions aren't passed X/Y flags check as
-- correct implementation is still unclear.
--
-- ****
-- T80(b) core. In an effort to merge and maintain bug fixes ....
--
-- Ver 301 parity flag is just parity for 8080, also overflow for Z80, by Sean Riddle
-- Ver 300 started tidyup
-- MikeJ March 2005
-- Latest version from www.fpgaarcade.com (original www.opencores.org)
--
-- ****
-- Z80 compatible microprocessor core
--
-- Version : 0247
-- Copyright (c) 2001-2002 Daniel Wallner ([email protected])
-- All rights reserved
--
-- Redistribution and use in source and synthezised forms, with or without
-- modification, are permitted provided that the following conditions are met:
--
-- Redistributions of source code must retain the above copyright notice,
-- this list of conditions and the following disclaimer.
--
-- Redistributions in synthesized form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- Neither the name of the author nor the names of other contributors may
-- be used to endorse or promote products derived from this software without
-- specific prior written permission.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-- AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
-- THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
-- PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE
-- LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-- CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-- SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-- INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-- CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-- ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
-- Please report bugs to the author, but before you do so, please
-- make sure that this is not a derivative work and that
-- you have the latest version of this file.
--
-- The latest version of this file can be found at:
-- http://www.opencores.org/cvsweb.shtml/t80/
--
-- Limitations :
--
-- File history :
--
-- 0214 : Fixed mostly flags, only the block instructions now fail the zex regression test
-- 0238 : Fixed zero flag for 16 bit SBC and ADC
-- 0240 : Added GB operations
-- 0242 : Cleanup
-- 0247 : Cleanup
--
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
entity T80_ALU is
generic(
Mode : integer := 0;
Flag_C : integer := 0;
Flag_N : integer := 1;
Flag_P : integer := 2;
Flag_X : integer := 3;
Flag_H : integer := 4;
Flag_Y : integer := 5;
Flag_Z : integer := 6;
Flag_S : integer := 7
);
port(
Arith16 : in std_logic;
Z16 : in std_logic;
WZ : in std_logic_vector(15 downto 0);
XY_State : in std_logic_vector(1 downto 0);
ALU_Op : in std_logic_vector(3 downto 0);
Rot_Akku : in std_logic;
IR : in std_logic_vector(5 downto 0);
ISet : in std_logic_vector(1 downto 0);
BusA : in std_logic_vector(7 downto 0);
BusB : in std_logic_vector(7 downto 0);
F_In : in std_logic_vector(7 downto 0);
Q : out std_logic_vector(7 downto 0);
F_Out : out std_logic_vector(7 downto 0)
);
end T80_ALU;
architecture rtl of T80_ALU is
procedure AddSub(A : std_logic_vector;
B : std_logic_vector;
Sub : std_logic;
Carry_In : std_logic;
signal Res : out std_logic_vector;
signal Carry : out std_logic) is
variable B_i : unsigned(A'length - 1 downto 0);
variable Res_i : unsigned(A'length + 1 downto 0);
begin
if Sub = '1' then
B_i := not unsigned(B);
else
B_i := unsigned(B);
end if;
Res_i := unsigned("0" & A & Carry_In) + unsigned("0" & B_i & "1");
Carry <= Res_i(A'length + 1);
Res <= std_logic_vector(Res_i(A'length downto 1));
end;
-- AddSub variables (temporary signals)
signal UseCarry : std_logic;
signal Carry7_v : std_logic;
signal Overflow_v : std_logic;
signal HalfCarry_v : std_logic;
signal Carry_v : std_logic;
signal Q_v : std_logic_vector(7 downto 0);
signal BitMask : std_logic_vector(7 downto 0);
begin
with IR(5 downto 3) select BitMask <= "00000001" when "000",
"00000010" when "001",
"00000100" when "010",
"00001000" when "011",
"00010000" when "100",
"00100000" when "101",
"01000000" when "110",
"10000000" when others;
UseCarry <= not ALU_Op(2) and ALU_Op(0);
AddSub(BusA(3 downto 0), BusB(3 downto 0), ALU_Op(1), ALU_Op(1) xor (UseCarry and F_In(Flag_C)), Q_v(3 downto 0), HalfCarry_v);
AddSub(BusA(6 downto 4), BusB(6 downto 4), ALU_Op(1), HalfCarry_v, Q_v(6 downto 4), Carry7_v);
AddSub(BusA(7 downto 7), BusB(7 downto 7), ALU_Op(1), Carry7_v, Q_v(7 downto 7), Carry_v);
-- bug fix - parity flag is just parity for 8080, also overflow for Z80
process (Carry_v, Carry7_v, Q_v)
begin
if(Mode=2) then
OverFlow_v <= not (Q_v(0) xor Q_v(1) xor Q_v(2) xor Q_v(3) xor
Q_v(4) xor Q_v(5) xor Q_v(6) xor Q_v(7)); else
OverFlow_v <= Carry_v xor Carry7_v;
end if;
end process;
process (Arith16, ALU_OP, F_In, BusA, BusB, IR, Q_v, Carry_v, HalfCarry_v, OverFlow_v, BitMask, ISet, Z16, Rot_Akku, WZ, XY_State)
variable Q_t : std_logic_vector(7 downto 0);
variable DAA_Q : unsigned(8 downto 0);
begin
Q_t := "--------";
F_Out <= F_In;
DAA_Q := "---------";
case ALU_Op is
when "0000" | "0001" | "0010" | "0011" | "0100" | "0101" | "0110" | "0111" =>
F_Out(Flag_N) <= '0';
F_Out(Flag_C) <= '0';
case ALU_OP(2 downto 0) is
when "000" | "001" => -- ADD, ADC
Q_t := Q_v;
F_Out(Flag_C) <= Carry_v;
F_Out(Flag_H) <= HalfCarry_v;
F_Out(Flag_P) <= OverFlow_v;
when "010" | "011" | "111" => -- SUB, SBC, CP
Q_t := Q_v;
F_Out(Flag_N) <= '1';
F_Out(Flag_C) <= not Carry_v;
F_Out(Flag_H) <= not HalfCarry_v;
F_Out(Flag_P) <= OverFlow_v;
when "100" => -- AND
Q_t(7 downto 0) := BusA and BusB;
F_Out(Flag_H) <= '1';
when "101" => -- XOR
Q_t(7 downto 0) := BusA xor BusB;
F_Out(Flag_H) <= '0';
when others => -- OR "110"
Q_t(7 downto 0) := BusA or BusB;
F_Out(Flag_H) <= '0';
end case;
if ALU_Op(2 downto 0) = "111" then -- CP
F_Out(Flag_X) <= BusB(3);
F_Out(Flag_Y) <= BusB(5);
else
F_Out(Flag_X) <= Q_t(3);
F_Out(Flag_Y) <= Q_t(5);
end if;
if Q_t(7 downto 0) = "00000000" then
F_Out(Flag_Z) <= '1';
if Z16 = '1' then
F_Out(Flag_Z) <= F_In(Flag_Z); -- 16 bit ADC,SBC
end if;
else
F_Out(Flag_Z) <= '0';
end if;
F_Out(Flag_S) <= Q_t(7);
case ALU_Op(2 downto 0) is
when "000" | "001" | "010" | "011" | "111" => -- ADD, ADC, SUB, SBC, CP
when others =>
F_Out(Flag_P) <= not (Q_t(0) xor Q_t(1) xor Q_t(2) xor Q_t(3) xor
Q_t(4) xor Q_t(5) xor Q_t(6) xor Q_t(7));
end case;
if Arith16 = '1' then
F_Out(Flag_S) <= F_In(Flag_S);
F_Out(Flag_Z) <= F_In(Flag_Z);
F_Out(Flag_P) <= F_In(Flag_P);
end if;
when "1100" =>
-- DAA
if Mode = 3 then
F_Out(Flag_H) <= '0';
F_Out(Flag_C) <= F_In(Flag_C);
DAA_Q(7 downto 0) := unsigned(BusA);
DAA_Q(8) := '0';
if F_In(Flag_N) = '0' then
-- After addition
-- Alow > 9 or H = 1
if DAA_Q(3 downto 0) > 9 or F_In(Flag_H) = '1' then
DAA_Q := DAA_Q + 6;
end if;
-- new Ahigh > 9 or C = 1
if DAA_Q(8 downto 4) > 9 or F_In(Flag_C) = '1' then
DAA_Q := DAA_Q + 96; -- 0x60
end if;
else
-- After subtraction
if F_In(Flag_H) = '1' then
DAA_Q := DAA_Q - 6;
if F_In(Flag_C) = '0' then
DAA_Q(8) := '0';
end if;
end if;
if F_In(Flag_C) = '1' then
DAA_Q := DAA_Q - 96; -- 0x60
end if;
end if;
else
F_Out(Flag_H) <= F_In(Flag_H);
F_Out(Flag_C) <= F_In(Flag_C);
DAA_Q(7 downto 0) := unsigned(BusA);
DAA_Q(8) := '0';
if F_In(Flag_N) = '0' then
-- After addition
-- Alow > 9 or H = 1
if DAA_Q(3 downto 0) > 9 or F_In(Flag_H) = '1' then
if (DAA_Q(3 downto 0) > 9) then
F_Out(Flag_H) <= '1';
else
F_Out(Flag_H) <= '0';
end if;
DAA_Q := DAA_Q + 6;
end if;
-- new Ahigh > 9 or C = 1
if DAA_Q(8 downto 4) > 9 or F_In(Flag_C) = '1' then
DAA_Q := DAA_Q + 96; -- 0x60
end if;
else
-- After subtraction
if DAA_Q(3 downto 0) > 9 or F_In(Flag_H) = '1' then
if DAA_Q(3 downto 0) > 5 then
F_Out(Flag_H) <= '0';
end if;
DAA_Q(7 downto 0) := DAA_Q(7 downto 0) - 6;
end if;
if unsigned(BusA) > 153 or F_In(Flag_C) = '1' then
DAA_Q := DAA_Q - 352; -- 0x160
end if;
end if;
end if;
F_Out(Flag_X) <= DAA_Q(3);
F_Out(Flag_Y) <= DAA_Q(5);
F_Out(Flag_C) <= F_In(Flag_C) or DAA_Q(8);
Q_t := std_logic_vector(DAA_Q(7 downto 0));
if DAA_Q(7 downto 0) = "00000000" then
F_Out(Flag_Z) <= '1';
else
F_Out(Flag_Z) <= '0';
end if;
F_Out(Flag_S) <= DAA_Q(7);
F_Out(Flag_P) <= not (DAA_Q(0) xor DAA_Q(1) xor DAA_Q(2) xor DAA_Q(3) xor
DAA_Q(4) xor DAA_Q(5) xor DAA_Q(6) xor DAA_Q(7));
when "1101" | "1110" =>
-- RLD, RRD
Q_t(7 downto 4) := BusA(7 downto 4);
if ALU_Op(0) = '1' then
Q_t(3 downto 0) := BusB(7 downto 4);
else
Q_t(3 downto 0) := BusB(3 downto 0);
end if;
F_Out(Flag_H) <= '0';
F_Out(Flag_N) <= '0';
F_Out(Flag_X) <= Q_t(3);
F_Out(Flag_Y) <= Q_t(5);
if Q_t(7 downto 0) = "00000000" then
F_Out(Flag_Z) <= '1';
else
F_Out(Flag_Z) <= '0';
end if;
F_Out(Flag_S) <= Q_t(7);
F_Out(Flag_P) <= not (Q_t(0) xor Q_t(1) xor Q_t(2) xor Q_t(3) xor
Q_t(4) xor Q_t(5) xor Q_t(6) xor Q_t(7));
when "1001" =>
-- BIT
Q_t(7 downto 0) := BusB and BitMask;
F_Out(Flag_S) <= Q_t(7);
if Q_t(7 downto 0) = "00000000" then
F_Out(Flag_Z) <= '1';
F_Out(Flag_P) <= '1';
else
F_Out(Flag_Z) <= '0';
F_Out(Flag_P) <= '0';
end if;
F_Out(Flag_H) <= '1';
F_Out(Flag_N) <= '0';
if IR(2 downto 0) = "110" or XY_State /= "00" then
F_Out(Flag_X) <= WZ(11);
F_Out(Flag_Y) <= WZ(13);
else
F_Out(Flag_X) <= BusB(3);
F_Out(Flag_Y) <= BusB(5);
end if;
when "1010" =>
-- SET
Q_t(7 downto 0) := BusB or BitMask;
when "1011" =>
-- RES
Q_t(7 downto 0) := BusB and not BitMask;
when "1000" =>
-- ROT
case IR(5 downto 3) is
when "000" => -- RLC
Q_t(7 downto 1) := BusA(6 downto 0);
Q_t(0) := BusA(7);
F_Out(Flag_C) <= BusA(7);
when "010" => -- RL
Q_t(7 downto 1) := BusA(6 downto 0);
Q_t(0) := F_In(Flag_C);
F_Out(Flag_C) <= BusA(7);
when "001" => -- RRC
Q_t(6 downto 0) := BusA(7 downto 1);
Q_t(7) := BusA(0);
F_Out(Flag_C) <= BusA(0);
when "011" => -- RR
Q_t(6 downto 0) := BusA(7 downto 1);
Q_t(7) := F_In(Flag_C);
F_Out(Flag_C) <= BusA(0);
when "100" => -- SLA
Q_t(7 downto 1) := BusA(6 downto 0);
Q_t(0) := '0';
F_Out(Flag_C) <= BusA(7);
when "110" => -- SLL (Undocumented) / SWAP
if Mode = 3 then
Q_t(7 downto 4) := BusA(3 downto 0);
Q_t(3 downto 0) := BusA(7 downto 4);
F_Out(Flag_C) <= '0';
else
Q_t(7 downto 1) := BusA(6 downto 0);
Q_t(0) := '1';
F_Out(Flag_C) <= BusA(7);
end if;
when "101" => -- SRA
Q_t(6 downto 0) := BusA(7 downto 1);
Q_t(7) := BusA(7);
F_Out(Flag_C) <= BusA(0);
when others => -- SRL
Q_t(6 downto 0) := BusA(7 downto 1);
Q_t(7) := '0';
F_Out(Flag_C) <= BusA(0);
end case;
F_Out(Flag_H) <= '0';
F_Out(Flag_N) <= '0';
F_Out(Flag_X) <= Q_t(3);
F_Out(Flag_Y) <= Q_t(5);
F_Out(Flag_S) <= Q_t(7);
if Q_t(7 downto 0) = "00000000" then
F_Out(Flag_Z) <= '1';
else
F_Out(Flag_Z) <= '0';
end if;
F_Out(Flag_P) <= not (Q_t(0) xor Q_t(1) xor Q_t(2) xor Q_t(3) xor
Q_t(4) xor Q_t(5) xor Q_t(6) xor Q_t(7));
if ISet = "00" then
F_Out(Flag_P) <= F_In(Flag_P);
F_Out(Flag_S) <= F_In(Flag_S);
F_Out(Flag_Z) <= F_In(Flag_Z);
end if;
if Mode = 3 and Rot_Akku = '1' then
F_Out(Flag_Z) <= '0';
end if;
when others =>
null;
end case;
Q <= Q_t;
end process;
end;
|
architecture rtl of fifo is
begin
process begin
while condition loop end loop;
while condition loop end loop;
end process;
end;
|
--------------------------------------------------------------------------------
--! @file i2c_master
--! @brief As master, read/write up to 2/3 bytes on th i2c bus.
--! @author Dong Wang, 20161009
--! Yuan Mei, 20170817
--! Read/write is initiated by a pulse on START
--------------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
ENTITY i2c_master IS
GENERIC (
INPUT_CLK_FREQENCY : integer := 100_000_000;
-- BUS CLK freqency should be divided by multiples of 4 from input frequency
BUS_CLK_FREQUENCY : integer := 100_000
);
PORT (
CLK : IN std_logic; -- system clock 50Mhz
RESET : IN std_logic; -- active high reset
START : IN std_logic; -- rising edge triggers r/w; synchronous to CLK
MODE : IN std_logic_vector(1 DOWNTO 0); -- "00" : 1 bytes read or write, "01" : 2 bytes r/w, "10" : 3 bytes write only;
SL_RW : IN std_logic; -- '0' is write, '1' is read
SL_ADDR : IN std_logic_vector(6 DOWNTO 0); -- slave addr
REG_ADDR : IN std_logic_vector(7 DOWNTO 0); -- slave internal reg addr for read and write
WR_DATA0 : IN std_logic_vector(7 DOWNTO 0); -- first data byte to write
WR_DATA1 : IN std_logic_vector(7 DOWNTO 0); -- second data byte to write
RD_DATA0 : OUT std_logic_vector(7 DOWNTO 0); -- first data byte read
RD_DATA1 : OUT std_logic_vector(7 DOWNTO 0); -- second data byte read
BUSY : OUT std_logic; -- indicates transaction in progress
ACK_ERROR : OUT std_logic; -- i2c has unexpected ack
SDA_in : IN std_logic; -- serial data input from i2c bus
SDA_out : OUT std_logic; -- serial data output to i2c bus
SDA_t : OUT std_logic; -- serial data direction to/from i2c bus, '1' is read-in
SCL : OUT std_logic -- serial clock output to i2c bus
);
END i2c_master;
ARCHITECTURE arch OF i2c_master IS
COMPONENT i2c_master_core IS
GENERIC (
INPUT_CLK_FREQENCY : integer;
BUS_CLK_FREQUENCY : integer
);
PORT (
CLK : IN std_logic;
RESET : IN std_logic;
ENA : IN std_logic;
ADDR : IN std_logic_vector(6 DOWNTO 0);
RW : IN std_logic;
DATA_WR : IN std_logic_vector(7 DOWNTO 0);
BUSY : OUT std_logic;
DATA_RD : OUT std_logic_vector(7 DOWNTO 0);
ACK_ERROR : OUT std_logic;
SDA_in : IN std_logic;
SDA_out : OUT std_logic;
SDA_t : OUT std_logic;
SCL : OUT std_logic
);
END COMPONENT i2c_master_core;
SIGNAL sI2C_enable : std_logic;
SIGNAL sI2C_data_wr : std_logic_vector(7 DOWNTO 0);
SIGNAL sI2C_data_rd : std_logic_vector(7 DOWNTO 0);
SIGNAL sI2C_busy : std_logic;
SIGNAL sBusyCnt : std_logic_vector(2 DOWNTO 0);
SIGNAL sBusy_d1 : std_logic;
SIGNAL sBusy_d2 : std_logic;
SIGNAL rd_data0_buf : std_logic_vector(7 DOWNTO 0);
SIGNAL rd_data1_buf : std_logic_vector(7 DOWNTO 0);
TYPE machine_type IS (StWaitStart,
StWr1,
StWr2,
StWr3,
StRd1,
StRd2
); -- needed states
SIGNAL state : machine_type; -- state machine
BEGIN
i2c_master_core_inst : i2c_master_core
GENERIC MAP (
INPUT_CLK_FREQENCY => INPUT_CLK_FREQENCY,
BUS_CLK_FREQUENCY => BUS_CLK_FREQUENCY
)
PORT MAP (
CLK => CLK,
RESET => RESET,
ENA => sI2C_enable,
ADDR => SL_ADDR,
RW => SL_RW,
DATA_WR => sI2C_data_wr,
BUSY => sI2C_busy,
DATA_RD => sI2C_data_rd,
ACK_ERROR => ACK_ERROR,
SDA_in => SDA_in,
SDA_out => SDA_out,
SDA_t => SDA_t,
SCL => SCL
);
--busy counter
busy_d : PROCESS (CLK) IS
BEGIN
IF rising_edge(CLK) THEN
sBusy_d1 <= sI2C_busy;
sBusy_d2 <= sBusy_d1;
END IF;
END PROCESS busy_d;
busy_counter : PROCESS (CLK, RESET) IS
BEGIN
IF RESET = '1' THEN -- asynchronous reset (active high)
sBusyCnt <= "000";
ELSIF rising_edge(CLK) THEN
IF state = StWaitStart THEN
sBusyCnt <= "000";
ELSIF sBusy_d2 = '0' and sBusy_d1 = '1' THEN
sBusyCnt <= std_logic_vector(unsigned(sBusyCnt) + 1);
ELSE
sBusyCnt <= sBusyCnt;
END IF;
END IF;
END PROCESS busy_counter;
state_machine : PROCESS (CLK, RESET) IS
BEGIN
IF RESET = '1' THEN -- asynchronous reset (active high)
sI2C_enable <= '0';
sI2C_data_wr <= (OTHERS => '0');
BUSY <= '0';
rd_data0_buf <= (OTHERS => '0');
rd_data1_buf <= (OTHERS => '0');
state <= StWaitStart;
ELSIF rising_edge(CLK) THEN -- rising clock edge
CASE state IS
-- //// Wait for signal to start I2C transaction
WHEN StWaitStart =>
sI2C_enable <= '0';
sI2C_data_wr <= (OTHERS => '0');
BUSY <= '0';
rd_data0_buf <= rd_data0_buf;
rd_data1_buf <= rd_data1_buf;
IF START = '1' THEN
BUSY <= '1';
IF SL_RW = '0' THEN -- write
IF MODE = "00" THEN -- 1 byte write (no payload)
state <= StWr1;
ELSIF MODE = "01" THEN -- 2 bytes write (1 byte payload)
state <= StWr2;
ELSIF MODE = "10" THEN -- 3 bytes write (2 byte payload)
state <= StWr3;
ELSE
state <= StWaitStart;
END IF;
ELSE
IF MODE = "00" THEN -- 1 byte read
state <= StRd1;
ELSIF MODE = "01" THEN -- 2 bytes read
state <= StRd2;
ELSE
state <= StWaitStart;
END IF;
END IF;
ELSE
state <= StWaitStart;
END IF;
-- 1 byte write
WHEN StWr1 =>
BUSY <= '1';
CASE sBusyCnt IS
WHEN "000" =>
sI2C_enable <= '1';
sI2C_data_wr <= REG_ADDR;
state <= StWr1;
WHEN "001" =>
sI2C_enable <= '0';
sI2C_data_wr <= REG_ADDR;
IF sI2C_busy = '0' THEN
state <= StWaitStart;
ELSE
state <= StWr1;
END IF;
WHEN OTHERS =>
sI2C_enable <= '0';
sI2C_data_wr <= (OTHERS => '0');
state <= StWaitStart;
END CASE;
-- 2 bytes write
WHEN StWr2 =>
BUSY <= '1';
CASE sBusyCnt IS
WHEN "000" =>
sI2C_enable <= '1';
sI2C_data_wr <= REG_ADDR;
state <= StWr2;
WHEN "001" =>
sI2C_enable <= '1';
sI2C_data_wr <= WR_DATA0;
state <= StWr2;
WHEN "010" =>
sI2C_enable <= '0';
sI2C_data_wr <= WR_DATA0;
IF sI2C_busy = '0' THEN
state <= StWaitStart;
ELSE
state <= StWr2;
END IF;
WHEN OTHERS =>
sI2C_enable <= '0';
sI2C_data_wr <= (OTHERS => '0');
state <= StWaitStart;
END CASE;
-- 3 bytes write
WHEN StWr3 =>
BUSY <= '1';
CASE sBusyCnt IS
WHEN "000" =>
sI2C_enable <= '1';
sI2C_data_wr <= REG_ADDR;
state <= StWr3;
WHEN "001" =>
sI2C_enable <= '1';
sI2C_data_wr <= WR_DATA0;
state <= StWr3;
WHEN "010" =>
sI2C_enable <= '1';
sI2C_data_wr <= WR_DATA1;
state <= StWr3;
WHEN "011" =>
sI2C_enable <= '0';
sI2C_data_wr <= WR_DATA1;
IF sI2C_busy = '0' THEN
state <= StWaitStart;
ELSE
state <= StWr3;
END IF;
WHEN OTHERS =>
sI2C_enable <= '0';
sI2C_data_wr <= (OTHERS => '0');
state <= StWaitStart;
END CASE;
-- 1 byte read
WHEN StRd1 =>
BUSY <= '1';
rd_data1_buf <= rd_data1_buf;
sI2C_data_wr <= (OTHERS => '0');
CASE sBusyCnt IS
WHEN "000" =>
sI2C_enable <= '1';
rd_data0_buf <= rd_data0_buf;
state <= StRd1;
WHEN "001" =>
sI2C_enable <= '0';
IF sI2C_busy = '0' THEN
state <= StWaitStart;
rd_data0_buf <= sI2C_data_rd;
ELSE
state <= StRd1;
rd_data0_buf <= rd_data0_buf;
END IF;
WHEN OTHERS =>
sI2C_enable <= '0';
rd_data0_buf <= rd_data0_buf;
state <= StWaitStart;
END CASE;
-- 2 bytes read
WHEN StRd2 =>
BUSY <= '1';
sI2C_data_wr <= (OTHERS => '0');
CASE sBusyCnt IS
WHEN "000" =>
sI2C_enable <= '1';
rd_data0_buf <= rd_data0_buf;
rd_data1_buf <= rd_data1_buf;
state <= StRd2;
WHEN "001" =>
sI2C_enable <= '1';
IF sI2C_busy = '0' THEN
state <= StRd2;
rd_data0_buf <= sI2C_data_rd;
rd_data1_buf <= rd_data1_buf;
ELSE
state <= StRd2;
rd_data0_buf <= rd_data0_buf;
rd_data1_buf <= rd_data1_buf;
END IF;
WHEN "010" =>
sI2C_enable <= '0';
IF sI2C_busy = '0' THEN
state <= StWaitStart;
rd_data0_buf <= rd_data0_buf;
rd_data1_buf <= sI2C_data_rd;
ELSE
state <= StRd2;
rd_data0_buf <= rd_data0_buf;
rd_data1_buf <= rd_data1_buf;
END IF;
WHEN OTHERS =>
sI2C_enable <= '0';
rd_data0_buf <= rd_data0_buf;
rd_data1_buf <= rd_data1_buf;
state <= StWaitStart;
END CASE;
-- //// shouldn't happen
WHEN OTHERS =>
sI2C_enable <= '0';
sI2C_data_wr <= (OTHERS => '0');
BUSY <= '0';
rd_data0_buf <= (OTHERS => '0');
rd_data1_buf <= (OTHERS => '0');
state <= StWaitStart;
END CASE;
END IF;
END PROCESS state_machine;
RD_DATA0 <= rd_data0_buf;
RD_DATA1 <= rd_data1_buf;
END arch;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- *************************************************************************
--
-- (c) Copyright 2010-2011 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- *************************************************************************
--
-------------------------------------------------------------------------------
-- Filename: axi_sg_scc_wr.vhd
--
-- Description:
-- This file implements the DataMover Lite Master Simple Command Calculator (SCC).
--
--
--
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
-------------------------------------------------------------------------------
entity axi_sg_scc_wr is
generic (
C_SEL_ADDR_WIDTH : Integer range 1 to 8 := 5;
-- Sets the width of the LS address bus used for
-- Muxing/Demuxing data to/from a wider AXI4 data bus
C_ADDR_WIDTH : Integer range 32 to 64 := 32;
-- Sets the width of the AXi Address Channel
C_STREAM_DWIDTH : Integer range 8 to 64 := 32;
-- Sets the width of the Native Data width that
-- is being supported by the PCC
C_MAX_BURST_LEN : Integer range 16 to 64 := 16;
-- Indicates the max allowed burst length to use for
-- AXI4 transfer calculations
C_CMD_WIDTH : Integer := 68;
-- Sets the width of the input command port
C_TAG_WIDTH : Integer range 1 to 8 := 4;
-- Sets the width of the Tag field in the input command
C_ENABLE_EXTRA_FIELD : Integer range 0 to 1 := 1
);
port (
-- Clock and Reset inputs -------------------------------------
primary_aclk : in std_logic; --
-- Primary synchronization clock for the Master side --
-- interface and internal logic. It is also used --
-- for the User interface synchronization when --
-- C_STSCMD_IS_ASYNC = 0. --
--
-- Reset input --
mmap_reset : in std_logic; --
-- Reset used for the internal master logic --
---------------------------------------------------------------
-- Command Input Interface ---------------------------------------------------------
--
cmd2mstr_command : in std_logic_vector(C_CMD_WIDTH-1 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cache2mstr_command : in std_logic_vector(7 downto 0); --
-- The next command value available from the Command FIFO/Register --
--
cmd2mstr_cmd_valid : in std_logic; --
-- Handshake bit indicating if the Command FIFO/Register has at leasdt 1 entry --
--
mst2cmd_cmd_ready : out std_logic; --
-- Handshake bit indicating the Command Calculator is ready to accept --
-- another command --
------------------------------------------------------------------------------------
-- Address Channel Controller Interface --------------------------------------------
--
mstr2addr_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2addr_addr : out std_logic_vector(C_ADDR_WIDTH-1 downto 0); --
-- The next command address to put on the AXI MMap ADDR --
--
mstr2addr_len : out std_logic_vector(7 downto 0); --
-- The next command length to put on the AXI MMap LEN --
--
mstr2addr_size : out std_logic_vector(2 downto 0); --
-- The next command size to put on the AXI MMap SIZE --
--
mstr2addr_burst : out std_logic_vector(1 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cache : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_user : out std_logic_vector(3 downto 0); --
-- The next command burst type to put on the AXI MMap BURST --
--
mstr2addr_cmd_cmplt : out std_logic; --
-- The indication to the Address Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2addr_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calcualtion error --
--
mstr2addr_cmd_valid : out std_logic; --
-- The next command valid indication to the Address Channel --
-- Controller for the AXI MMap --
--
addr2mstr_cmd_ready : In std_logic; --
-- Indication from the Address Channel Controller that the --
-- command is being accepted --
------------------------------------------------------------------------------------
-- Data Channel Controller Interface ----------------------------------------------
--
mstr2data_tag : out std_logic_vector(C_TAG_WIDTH-1 downto 0); --
-- The next command tag --
--
mstr2data_saddr_lsb : out std_logic_vector(C_SEL_ADDR_WIDTH-1 downto 0); --
-- The next command start address LSbs to use for the read data --
-- mux (only used if Stream data width is 8 or 16 bits). --
--
mstr2data_len : out std_logic_vector(7 downto 0); --
-- The LEN value output to the Address Channel --
--
mstr2data_strt_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The starting strobe value to use for the data transfer --
--
mstr2data_last_strb : out std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0); --
-- The endiing (LAST) strobe value to use for the data transfer --
--
mstr2data_sof : out std_logic; --
-- The starting tranfer of a sequence of transfers --
--
mstr2data_eof : out std_logic; --
-- The endiing tranfer of a sequence of parent transfer commands --
--
mstr2data_calc_error : out std_logic; --
-- Indication if the next command in the calculation pipe --
-- has a calculation error --
--
mstr2data_cmd_cmplt : out std_logic; --
-- The indication to the Data Channel that the current --
-- sub-command output is the last one compiled from the --
-- parent command pulled from the Command FIFO --
--
mstr2data_cmd_valid : out std_logic; --
-- The next command valid indication to the Data Channel --
-- Controller for the AXI MMap --
--
data2mstr_cmd_ready : In std_logic ; --
-- Indication from the Data Channel Controller that the --
-- command is being accepted on the AXI Address --
-- Channel --
--
calc_error : Out std_logic --
-- Indication from the Command Calculator that a calculation --
-- error has occured. --
------------------------------------------------------------------------------------
);
end entity axi_sg_scc_wr;
architecture implementation of axi_sg_scc_wr is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_slice_width
--
-- Function Description:
-- Calculates the bits to rip from the Command BTT field to calculate
-- the LEN value output to the AXI Address Channel.
--
-------------------------------------------------------------------
function funct_get_slice_width (max_burst_len : integer) return integer is
Variable temp_slice_width : Integer := 0;
begin
case max_burst_len is
-- coverage off
when 64 =>
temp_slice_width := 7;
when 32 =>
temp_slice_width := 6;
when others => -- assume 16 dbeats is max LEN
temp_slice_width := 5;
-- coverage on
end case;
Return (temp_slice_width);
end function funct_get_slice_width;
-------------------------------------------------------------------
-- Function
--
-- Function Name: funct_get_residue_width
--
-- Function Description:
-- Calculates the number of Least significant bits of the BTT field
-- that are unused for the LEN calculation
--
-------------------------------------------------------------------
function funct_get_btt_ls_unused (transfer_width : integer) return integer is
Variable temp_btt_ls_unused : Integer := 0; -- 8-bit stream
begin
case transfer_width is
-- coverage off
when 64 =>
temp_btt_ls_unused := 3;
-- coverage on
when 32 =>
temp_btt_ls_unused := 2;
-- coverage off
when 16 =>
temp_btt_ls_unused := 1;
when others => -- assume 8-bit transfers
temp_btt_ls_unused := 0;
-- coverage on
end case;
Return (temp_btt_ls_unused);
end function funct_get_btt_ls_unused;
-- Constant Declarations ----------------------------------------
Constant BASE_CMD_WIDTH : integer := 32; -- Bit Width of Command LS (no address)
Constant CMD_TYPE_INDEX : integer := 23;
Constant CMD_ADDR_LS_INDEX : integer := BASE_CMD_WIDTH;
Constant CMD_ADDR_MS_INDEX : integer := (C_ADDR_WIDTH+BASE_CMD_WIDTH)-1;
Constant CMD_TAG_WIDTH : integer := C_TAG_WIDTH;
Constant CMD_TAG_LS_INDEX : integer := C_ADDR_WIDTH+BASE_CMD_WIDTH;
Constant CMD_TAG_MS_INDEX : integer := (CMD_TAG_LS_INDEX+CMD_TAG_WIDTH)-1;
Constant AXI_BURST_FIXED : std_logic_vector(1 downto 0) := "00";
Constant AXI_BURST_INCR : std_logic_vector(1 downto 0) := "01";
Constant AXI_BURST_WRAP : std_logic_vector(1 downto 0) := "10";
Constant AXI_BURST_RESVD : std_logic_vector(1 downto 0) := "11";
Constant AXI_SIZE_1BYTE : std_logic_vector(2 downto 0) := "000";
Constant AXI_SIZE_2BYTE : std_logic_vector(2 downto 0) := "001";
Constant AXI_SIZE_4BYTE : std_logic_vector(2 downto 0) := "010";
Constant AXI_SIZE_8BYTE : std_logic_vector(2 downto 0) := "011";
Constant AXI_SIZE_16BYTE : std_logic_vector(2 downto 0) := "100";
Constant AXI_SIZE_32BYTE : std_logic_vector(2 downto 0) := "101";
Constant AXI_SIZE_64BYTE : std_logic_vector(2 downto 0) := "110";
Constant AXI_SIZE_128BYTE : std_logic_vector(2 downto 0) := "111";
Constant BTT_SLICE_SIZE : integer := funct_get_slice_width(C_MAX_BURST_LEN);
Constant MAX_BURST_LEN_US : unsigned(BTT_SLICE_SIZE-1 downto 0) :=
TO_UNSIGNED(C_MAX_BURST_LEN-1, BTT_SLICE_SIZE);
Constant BTT_LS_UNUSED_WIDTH : integer := funct_get_btt_ls_unused(C_STREAM_DWIDTH);
Constant CMD_BTT_WIDTH : integer := BTT_SLICE_SIZE+BTT_LS_UNUSED_WIDTH;
Constant CMD_BTT_LS_INDEX : integer := 0;
Constant CMD_BTT_MS_INDEX : integer := CMD_BTT_WIDTH-1;
Constant BTT_ZEROS : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
Constant BTT_RESIDUE_ZEROS : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
Constant BTT_SLICE_ONE : unsigned(BTT_SLICE_SIZE-1 downto 0) := TO_UNSIGNED(1, BTT_SLICE_SIZE);
Constant STRB_WIDTH : integer := C_STREAM_DWIDTH/8; -- Number of bytes in the Stream
Constant LEN_WIDTH : integer := 8;
-- Type Declarations --------------------------------------------
type SCC_SM_STATE_TYPE is (
INIT,
POP_RECOVER,
GET_NXT_CMD,
CHK_AND_CALC,
PUSH_TO_AXI,
ERROR_TRAP
);
-- Signal Declarations --------------------------------------------
signal sm_scc_state : SCC_SM_STATE_TYPE := INIT;
signal sm_scc_state_ns : SCC_SM_STATE_TYPE := INIT;
signal sm_pop_input_cmd : std_logic := '0';
signal sm_pop_input_cmd_ns : std_logic := '0';
signal sm_set_push2axi : std_logic := '0';
signal sm_set_push2axi_ns : std_logic := '0';
signal sm_set_error : std_logic := '0';
signal sm_set_error_ns : std_logic := '0';
Signal sm_scc_sm_ready : std_logic := '0';
Signal sm_scc_sm_ready_ns : std_logic := '0';
signal sig_cmd2data_valid : std_logic := '0';
signal sig_clr_cmd2data_valid : std_logic := '0';
signal sig_cmd2addr_valid : std_logic := '0';
signal sig_cmd2addr_valid1 : std_logic := '0';
signal sig_clr_cmd2addr_valid : std_logic := '0';
signal sig_addr_data_rdy_pending : std_logic := '0';
signal sig_cmd_btt_slice : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_load_input_cmd : std_logic := '0';
signal sig_cmd_reg_empty : std_logic := '0';
signal sig_cmd_reg_full : std_logic := '0';
signal sig_cmd_addr_reg : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_btt_reg : std_logic_vector(CMD_BTT_WIDTH-1 downto 0) := (others => '0');
signal sig_cmd_type_reg : std_logic := '0';
signal sig_cmd_burst_reg : std_logic_vector (1 downto 0) := "00";
signal sig_cmd_tag_reg : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_addr_data_rdy4cmd : std_logic := '0';
signal sig_btt_raw : std_logic := '0';
signal sig_btt_is_zero : std_logic := '0';
signal sig_btt_is_zero_reg : std_logic := '0';
signal sig_next_tag : std_logic_vector(CMD_TAG_WIDTH-1 downto 0) := (others => '0');
signal sig_next_addr : std_logic_vector(C_ADDR_WIDTH-1 downto 0) := (others => '0');
signal sig_next_len : std_logic_vector(LEN_WIDTH-1 downto 0) := (others => '0');
signal sig_next_size : std_logic_vector(2 downto 0) := (others => '0');
signal sig_next_burst : std_logic_vector(1 downto 0) := (others => '0');
signal sig_next_cache : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_user : std_logic_vector(3 downto 0) := (others => '0');
signal sig_next_strt_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
signal sig_next_end_strb : std_logic_vector((C_STREAM_DWIDTH/8)-1 downto 0) := (others => '0');
begin --(architecture implementation)
-- Assign calculation error output
calc_error <= sm_set_error;
-- Assign the ready output to the Command FIFO
mst2cmd_cmd_ready <= sig_cmd_reg_empty and addr2mstr_cmd_ready; --sm_scc_sm_ready;
-- Assign the Address Channel Controller Qualifiers
mstr2addr_tag <= sig_next_tag ;
mstr2addr_addr <= sig_next_addr ;
mstr2addr_len <= sig_next_len ;
mstr2addr_size <= sig_next_size ;
mstr2addr_burst <= sig_cmd_burst_reg;
mstr2addr_cache <= sig_next_cache;
mstr2addr_user <= sig_next_user;
mstr2addr_cmd_valid <= sig_cmd2addr_valid1;
mstr2addr_calc_error <= sm_set_error ;
mstr2addr_cmd_cmplt <= '1' ; -- Lite mode is always 1
-- Assign the Data Channel Controller Qualifiers
mstr2data_tag <= sig_next_tag ;
mstr2data_saddr_lsb <= sig_cmd_addr_reg(C_SEL_ADDR_WIDTH-1 downto 0);
mstr2data_len <= sig_next_len ;
mstr2data_strt_strb <= (others => '1'); --sig_next_strt_strb; -- always F
mstr2data_last_strb <= (others => '1'); --sig_next_end_strb; -- always F
mstr2data_sof <= '1'; -- Lite mode is always 1 cmd
mstr2data_eof <= '1'; -- Lite mode is always 1 cmd
mstr2data_cmd_cmplt <= '1'; -- Lite mode is always 1 cmd
-- mstr2data_cmd_valid <= sig_cmd2data_valid;
mstr2data_cmd_valid <= sig_cmd2addr_valid1; --sig_cmd2data_valid;
mstr2data_calc_error <= sm_set_error;
-- Internal logic ------------------------------
sig_addr_data_rdy_pending <= sig_cmd2addr_valid or
sig_cmd2data_valid;
sig_clr_cmd2data_valid <= sig_cmd2data_valid and data2mstr_cmd_ready;
sig_clr_cmd2addr_valid <= sig_cmd2addr_valid and addr2mstr_cmd_ready;
sig_load_input_cmd <= cmd2mstr_cmd_valid and
sig_cmd_reg_empty;-- and
-- sm_scc_sm_ready;
sig_next_tag <= sig_cmd_tag_reg;
sig_next_addr <= sig_cmd_addr_reg;
sig_addr_data_rdy4cmd <= addr2mstr_cmd_ready and data2mstr_cmd_ready;
sig_cmd_btt_slice <= cmd2mstr_command(CMD_BTT_MS_INDEX downto CMD_BTT_LS_INDEX);
sig_btt_is_zero <= '1'
when (sig_cmd_btt_slice = BTT_ZEROS)
Else '0';
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_NO_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_NO_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH = 0) generate
-- signals
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto 0));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value,
-- otheriwse subtract 1 from the BTT ripped value
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1;
end generate GEN_NO_RESIDUE_BITS;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_HAS_RESIDUE_BITS
--
-- If Generate Description:
--
--
--
------------------------------------------------------------
GEN_HAS_RESIDUE_BITS : if (BTT_LS_UNUSED_WIDTH > 0) generate
-- signals
signal sig_btt_len_residue : unsigned(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_len_btt_slice : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len_btt_slice_minus_1 : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
signal sig_len2use : unsigned(BTT_SLICE_SIZE-1 downto 0) := (others => '0');
begin
-- LEN Calculation logic ------------------------------------------
WR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 1) generate
sig_next_len <= "00000000" when sig_cmd_tag_reg (0) = '1'
else "00000101"; --STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
end generate WR_EXTRA_FIELDS;
NOWR_EXTRA_FIELDS : if (C_ENABLE_EXTRA_FIELD = 0) generate
sig_next_len <= "00000000";
end generate NOWR_EXTRA_FIELDS;
-- sig_next_len <= STD_LOGIC_VECTOR(RESIZE(sig_len2use, LEN_WIDTH));
sig_len_btt_slice <= UNSIGNED(sig_cmd_btt_reg(CMD_BTT_MS_INDEX downto BTT_LS_UNUSED_WIDTH));
sig_len_btt_slice_minus_1 <= sig_len_btt_slice-BTT_SLICE_ONE
when sig_btt_is_zero_reg = '0'
else (others => '0'); -- clip at zero
sig_btt_len_residue <= UNSIGNED(sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0));
-- If most significant bit of BTT set then limit to
-- Max Burst Len, else rip it from the BTT value
-- However if residue bits are zeroes then subtract
-- 1 from the BTT ripped value
sig_len2use <= MAX_BURST_LEN_US
When (sig_cmd_btt_reg(CMD_BTT_MS_INDEX) = '1')
Else sig_len_btt_slice_minus_1
when (sig_btt_len_residue = BTT_RESIDUE_ZEROS)
Else sig_len_btt_slice;
end generate GEN_HAS_RESIDUE_BITS;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: REG_INPUT_CMD
--
-- Process Description:
-- Implements the input command holding registers
--
-------------------------------------------------------------
REG_INPUT_CMD : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
addr2mstr_cmd_ready = '0') then
-- sm_pop_input_cmd = '1') then
sig_cmd_btt_reg <= (others => '0');
sig_cmd_type_reg <= '0';
sig_cmd_addr_reg <= (others => '0');
sig_cmd_tag_reg <= (others => '0');
sig_btt_is_zero_reg <= '0';
sig_cmd_reg_empty <= '1';
sig_cmd_reg_full <= '0';
sig_cmd_burst_reg <= "00";
sig_cmd2addr_valid1 <= '0';
elsif (sig_load_input_cmd = '1') then
sig_cmd_btt_reg <= sig_cmd_btt_slice;
sig_cmd_type_reg <= cmd2mstr_command(CMD_TYPE_INDEX);
sig_cmd_addr_reg <= cmd2mstr_command(CMD_ADDR_MS_INDEX downto CMD_ADDR_LS_INDEX);
sig_cmd_tag_reg <= cmd2mstr_command(CMD_TAG_MS_INDEX downto CMD_TAG_LS_INDEX);
sig_btt_is_zero_reg <= sig_btt_is_zero;
sig_cmd_reg_empty <= '0';
sig_cmd_reg_full <= '1';
sig_cmd2addr_valid1 <= '1';
sig_cmd_burst_reg <= sig_next_burst;
else
null; -- Hold current State
end if;
end if;
end process REG_INPUT_CMD;
-- Only Incrementing Burst type supported (per Interface_X guidelines)
sig_next_burst <= AXI_BURST_INCR when (cmd2mstr_command(CMD_TYPE_INDEX) = '1') else
AXI_BURST_FIXED;
sig_next_user <= cache2mstr_command (7 downto 4);
sig_next_cache <= cache2mstr_command (3 downto 0);
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_64
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 64-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_64 : if (C_STREAM_DWIDTH = 64) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_8BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 3;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0');
-- note 1 extra bit implied
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_8bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 64 bits wide and 8 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_8bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "0001" =>
sig_last_strb <= "00000001";
when "0010" =>
sig_last_strb <= "00000011";
when "0011" =>
sig_last_strb <= "00000111";
when "0100" =>
sig_last_strb <= "00001111";
when "0101" =>
sig_last_strb <= "00011111";
when "0110" =>
sig_last_strb <= "00111111";
when "0111" =>
sig_last_strb <= "01111111";
when others =>
sig_last_strb <= "11111111";
end case;
end process IMP_LAST_STRB_8bit;
end generate GEN_LEN_SDWIDTH_64;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_32
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 32-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_32 : if (C_STREAM_DWIDTH = 32) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_4BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 2;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_4bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 32 bits wide and 4 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_4bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
-- coverage off
when "001" =>
sig_last_strb <= "0001";
when "010" =>
sig_last_strb <= "0011";
when "011" =>
sig_last_strb <= "0111";
-- coverage on
when others =>
sig_last_strb <= "1111";
end case;
end process IMP_LAST_STRB_4bit;
end generate GEN_LEN_SDWIDTH_32;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_16
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 16-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_16 : if (C_STREAM_DWIDTH = 16) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_2BYTE;
Constant RESIDUE_BIT_WIDTH : integer := 1;
-- local signals
signal sig_last_strb2use : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
signal sig_last_strb : std_logic_vector(STRB_WIDTH-1 downto 0) := (others => '0');
Signal sig_btt_ms_bit_value : std_logic := '0';
signal sig_btt_len_residue_composite : std_logic_vector(RESIDUE_BIT_WIDTH downto 0) := (others => '0'); -- 1 extra bit
signal lsig_btt_len_residue : std_logic_vector(BTT_LS_UNUSED_WIDTH-1 downto 0) := (others => '0');
begin
-- Assign the Address Channel Controller Size Qualifier Value
sig_next_size <= AXI_SIZE2USE;
-- Assign the Strobe Values
sig_next_strt_strb <= (others => '1'); -- always aligned on first databeat for LITE DataMover
sig_next_end_strb <= sig_last_strb;
-- Local calculations ------------------------------
lsig_btt_len_residue <= sig_cmd_btt_reg(BTT_LS_UNUSED_WIDTH-1 downto 0);
sig_btt_ms_bit_value <= sig_cmd_btt_reg(CMD_BTT_MS_INDEX);
sig_btt_len_residue_composite <= sig_btt_ms_bit_value &
lsig_btt_len_residue;
-------------------------------------------------------------
-- Combinational Process
--
-- Label: IMP_LAST_STRB_2bit
--
-- Process Description:
-- Generates the Strobe values for the LAST databeat of the
-- Burst to MMap when the Stream is 16 bits wide and 2 strobe
-- bits are required.
--
-------------------------------------------------------------
IMP_LAST_STRB_2bit : process (sig_btt_len_residue_composite)
begin
case sig_btt_len_residue_composite is
when "01" =>
sig_last_strb <= "01";
when others =>
sig_last_strb <= "11";
end case;
end process IMP_LAST_STRB_2bit;
end generate GEN_LEN_SDWIDTH_16;
------------------------------------------------------------
-- If Generate
--
-- Label: GEN_LEN_SDWIDTH_8
--
-- If Generate Description:
-- This IfGen implements the AXI LEN qualifier calculation
-- and the Stream data channel start/end STRB value.
--
-- This IfGen is for the 8-bit Stream data Width case.
--
------------------------------------------------------------
GEN_LEN_SDWIDTH_8 : if (C_STREAM_DWIDTH = 8) generate
-- Local Constants
Constant AXI_SIZE2USE : std_logic_vector(2 downto 0) := AXI_SIZE_1BYTE;
begin
-- Assign the Address Channel Controller Qualifiers
sig_next_size <= AXI_SIZE2USE;
-- Assign the Data Channel Controller Qualifiers
sig_next_strt_strb <= (others => '1');
sig_next_end_strb <= (others => '1');
end generate GEN_LEN_SDWIDTH_8;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2DATA_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Data Controller Module.
--
-------------------------------------------------------------
CMD2DATA_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2data_valid = '1') then
sig_cmd2data_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2data_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2DATA_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: CMD2ADDR_VALID_FLOP
--
-- Process Description:
-- Implements the set/reset flop for the Command Ready control
-- to the Address Controller Module.
--
-------------------------------------------------------------
CMD2ADDR_VALID_FLOP : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1' or
sig_clr_cmd2addr_valid = '1') then
sig_cmd2addr_valid <= '0';
elsif (sm_set_push2axi_ns = '1') then
sig_cmd2addr_valid <= '1';
else
null; -- hold current state
end if;
end if;
end process CMD2ADDR_VALID_FLOP;
-------------------------------------------------------------
-- Synchronous Process with Sync Reset
--
-- Label: SCC_SM_REG
--
-- Process Description:
-- Implements registered portion of state machine
--
-------------------------------------------------------------
SCC_SM_REG : process (primary_aclk)
begin
if (primary_aclk'event and primary_aclk = '1') then
if (mmap_reset = '1') then
-- sm_scc_state <= INIT;
-- sm_pop_input_cmd <= '0' ;
-- sm_set_push2axi <= '0' ;
sm_set_error <= '0' ;
-- sm_scc_sm_ready <= '0' ;
elsif (sig_btt_is_zero_reg = '1') then
sm_set_error <= '1';
-- sm_scc_state <= sm_scc_state_ns ;
-- sm_pop_input_cmd <= sm_pop_input_cmd_ns ;
-- sm_set_push2axi <= sm_set_push2axi_ns ;
-- sm_set_error <= sm_set_error_ns ;
-- sm_scc_sm_ready <= sm_scc_sm_ready_ns ;
end if;
end if;
end process SCC_SM_REG;
end implementation;
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.3 (win64) Build 1682563 Mon Oct 10 19:07:27 MDT 2016
-- Date : Mon Sep 18 13:10:43 2017
-- Host : vldmr-PC running 64-bit Service Pack 1 (build 7601)
-- Command : write_vhdl -force -mode synth_stub -rename_top decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix -prefix
-- decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix_ fifo_generator_rx_inst_stub.vhdl
-- Design : fifo_generator_rx_inst
-- Purpose : Stub declaration of top-level module interface
-- Device : xc7k325tffg676-1
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
entity decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix is
Port (
rst : in STD_LOGIC;
wr_clk : in STD_LOGIC;
rd_clk : in STD_LOGIC;
din : in STD_LOGIC_VECTOR ( 63 downto 0 );
wr_en : in STD_LOGIC;
rd_en : in STD_LOGIC;
dout : out STD_LOGIC_VECTOR ( 63 downto 0 );
full : out STD_LOGIC;
empty : out STD_LOGIC;
rd_data_count : out STD_LOGIC_VECTOR ( 9 downto 0 );
wr_data_count : out STD_LOGIC_VECTOR ( 8 downto 0 );
prog_full : out STD_LOGIC;
prog_empty : out STD_LOGIC
);
end decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix;
architecture stub of decalper_eb_ot_sdeen_pot_pi_dehcac_xnilix is
attribute syn_black_box : boolean;
attribute black_box_pad_pin : string;
attribute syn_black_box of stub : architecture is true;
attribute black_box_pad_pin of stub : architecture is "rst,wr_clk,rd_clk,din[63:0],wr_en,rd_en,dout[63:0],full,empty,rd_data_count[9:0],wr_data_count[8:0],prog_full,prog_empty";
attribute x_core_info : string;
attribute x_core_info of stub : architecture is "fifo_generator_v13_1_2,Vivado 2016.3";
begin
end;
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block
IPOhIRx7pHuZHsG9QhHmKZkPZRSZaXlsjW3i/Sorb+dAcZ1FVZa+5IswmzT2WyubQ318a+KCgPSO
7xkeuKVvmUMx2cx3pCJfHppSIw5UYPXMh/osve0JtykkJkxS0PyAHzFH54VkomJGfMPBRVTBH9xp
gjW1srIhcZQthTyjDA6y4Lor9rYLvhmCvE5ANjWNzssbf3Ia6OPrfmgp72xgejQVRTUtWpmI7AzR
Xnw59NXUTQuVr+309gGb+qv3KMGHl1tdSK46GL+/43BUA7nWNRK0qfeEiJwQyDIoDAx4fyRUOZHM
OgqstcOXtyKskJrxcZUgqv8cMZZhW1l/zFkBZ+xG1l1X+tbu5XrnV0tkQsbAzclMblGS1K28hQnH
kDgCV4dQ6BEnfv3P5WBlrRc77kJxsFFMZCvqvHkxWUeD4oXlDKSIBTIanITJ+4aM8iCINNnRLPSS
c1mbCk8K5NLKIxd1Dy3OhnjduJMR9KJ82UjZ2IsjbzFRx4NK74CaoZq0l8HyQKWTvDDIvth+QAWL
QWztUBF/Ik+hkhXPbssVvLYh9LTto4WMCpzA0MLOX5o7xpNLmIaQg7i0uL7zVF+EWNVmFk0FheGm
LJCkK7lq5Kg8Uhp1/ARNLM7IWZHYCqARVRbBrqLlqMErDAf4QlH8wEPR/jEFNBhknUw+weDO4hmL
t0uIiJvn0NqG58YxU0s3WxcEtDUoDfkWvVbBqbVbcmmEBTmYf2DwVBbxd4vthFLZV1Z9IUowbsFV
2t1l/mYP/mPnCX/QtG8Lqget84w/HwgCUyvs6spFFgSqFENxKc0l15GTQu71uGAaz3wf91WQ5tNK
rKxdIIdM+d7ZY1MlBOUQFPEcbPj/cCL1N012ebBL1uL1cMSw3wb2+tVhjlxDHvPtAA8iLNqYUrjH
lzxZ2zIuRi8FqNjJFKH5eqaRCYJmbo1miz/ngP2Au4OiOmCKW5pW1C4RAWr3/73duJ2YeoNqFSeU
wmvWQq4sw4pV2OW2/PLTDLBChEC0kU4/3AMWbFITjWrO4kOG0OUqLUspIBALwwKpru8rYZX/pclA
erDcwc+/GKkINs761ft5lU6ydd14gyeElfZ6NT1IIvcU1tnL6I0vcJjeGuJryBPpQOG3FWh9SGGg
sjwiXHXFYhXrFqHffOUtKvBarCHv9S+EFYU8a/gR/fPcdPPLaZ3DoZY8BbfimS9jdU6cjb9es2hG
uuNOmyNTFSGrJRZVKYUsZ+dSgFXCAg8BbKgU/WpantFOMiiE0eCLzoW075c45D7bLmZhdUfoQF+R
OX5R+8BAMp+bvneEz/Lmo7L8V/uYop1/4JiGt2iG75s2dOKV737JKcId5xCwJHtmLHrVlzNRNYGz
sYYRATee9pHBSomf4DhPG3QzrpPF6qpKWLUk32cajNxHla6DMG8jWJjG5FfeJJWVWLV1nHrvjrAM
Yv7bYH4BbqCuU+XjTpm9TLg5j4Ic+GJeuPNwzyuJv+KQZLFPciFVQWgoQttMxks1cnsTNWRCfRPk
Vqdv/KijuUnlaB7P3Bx5EWY+ZR02zLSAFMovwo1m411KqcrNB18P6yRKtsGYd9HwIrClfqHe6D66
nXDqSsuWthn9ibIoguwJJLD+/UHZQLs0wpTUEPSa/z7uDee8TiDGEfCrXtD6g3x5gI+z0AbP2wqv
/C/q8RVO+8jg6b1DzfXteCJN72o/+1GiZXNh0E95VEgjpCYQM6HmAqDAFsgNwnSUogd2YsKP3APe
mJoXDWaetyDIew37AZldwzdEbB0WFpUyAo/6v/2UxgotY8WlrBFWITQl+4tDB4tMxwBPUUyGfrK7
LefUW7vWgHWIQC+zn+VeBIlZfcKToq2AOM+7c8mytKUQu2CqIIYUUBWgf4FpDe6LFaQLeYZwdwt+
+QXnP2WEctvPwfwbfnfUW90W39mO7Qx6SwHKOWgFt92bEfNXCxaA/6I1JFSMyjTvT+BH8XagBBUj
gEoxJQEnUOkEMDQrXn0224I3T5IJYj0e1VPlC4mUzjhxFAitKid6lVJqhdTKdoXhei3mZxz4qtPd
ixBH9Yy4B04oj4RH5m8XqSxOXkQtU8qm20halqEl6PEe1H+YbqyWRSzbw1wThkkf7qiu7cH8VNhW
A5TspWB4c9K/PUCUPrwspZmYUTE3VnhcOYRuRT/Z0PCL0gRcEdGvpMR5LTUe44dSEUhwtgCUxx5N
kSBfWCHxI6jz7j5jVjhGm3QSZ0896OWfM60ri/Nyn8Knbgt83twgwUESCaPm5rXRwPnL1R3nZYBl
2otItOET0c3A2ekBP0JPly3n6c05W36GGQPu7vVmaa42XlC8kyvGJkIQubPTJ6YbWrbDkP1GPi0s
hfk+hwDun7+Tl2tco0mz26y3iMydKpglmYrNDjHGa5wZV9nMIClblSK5CmsRk+CUWGP5sy0MFAHh
0+bFXg/+TO9hEiHoQ/uy5fd0dGA+ZSbizAo/8cZJ/Olg/grYe1l3T0NC/z+CzrnC+LMKcqCZMg2q
/Jn3E/3hBDssHZFXVb+vcEX+Wa/Z/qxxj0HgJfJ4vrMbQSyZjlt6Z5DjMye3cclON8E1UOR75ZYH
8lXEEIB3PPgJo409iGg4tWrOvEGELW6cLxxR6xuQaaE45v5ad8hnZczq7DuG0Q+NWb9ct1U1QGGt
Lt04nI7HtvjwMPMr4gNr18RAlwHqBtlVA8yuBTq7Xb+lxI3lGvO/T5WDvVRhrsSXDBEiON722WTT
7BLpm6P2/LU80M7Vz9ps32y4V0Dk8cxXwXw67066SmuZvH7cZQ11tlRZdGS6nFcfcBJubSsnlBJP
hprCge8ocgB6a1EBZOuWb/YGUgWj/1QulKa/exxTfqanjjP6HzMCDhMWBGtrB26XRqR8stTQQ2Qx
JiyE8y+nLB31YHkyBSmEIexu/N7tPGNIo2SFEl/VDTpBFv0k7yYE92lKkqQvlJcuteN1hssr3E0W
bqz1odLYuXMp7x0M0JSyWDoL37vq0DiiTjW825IWm4J2vBMg2RUgKTsY/lY/GUfr3iZS9SBXR5a9
LN35nRf+OjT6/HhBe+CQ9yg+7DBitGfKhTNcs305iCFxuIOuBttquu3vygtPd5effORKLUurF2AL
1FX8y6QQCjVOkk9dcL44U2i6x/anhCGUkkFcdNZMfhIGDW3zKUKONPwia6RcjGKCwWVTpJlH3Pma
upe1L0rRLPtDAnZUfi05EM0eIXXWyvGmRCK1S+wPR8fD4qoTvZxpMIcykWqTS3Qk0f9VrrzCDO36
0M1XDynkXb/cqMuKbZJh+5KYqC12dhb4JjKnOGwE0uw6uzneFVgKsGgKlC8J2f99w2DBldWh5UQ/
6l6IfzMPi/aJyPkSlthEEw4msIjJcFRy+9qWg6WxllwiYOhLpo9eD5HwCrFCrWETHGPsyRcmLcRX
PT7qY3WpTAcU9GaFGo8utLl7kR5E8Lgxx386yH6DoFIc196I7ha/zPAo9spVx12Ba1OCSW5a9dF1
iKcnIsKLyG/X6boG2cuvf+nq3wVV7GhfbsHMXrGcFKQPuU5NEl7Nr+ds5ZlRVeZq/kIzZDlURQNn
Xo5SSRSAXcreIEFvXh1DU+2nUL8u+FJ/6W3OLH+IKn2P8n+JIpJVQcxnttMEdoJtgJfF9vAZZYsL
N4FCvW6nVErST9seirfujwCksc77bp+SSBBDX2xZKIGaREf7y72wUcOd+B1Cy8+SnKo370RoWdM2
ugrIqH7ovt5fAL+xtWNt70Jt4pI2R3O5EbXlegS8tbxTxC6A6ety0EypqW1q5ebCoKsoUrRdbAts
H2BeJhDoyUyZ29NAd+xYv47EkGMySlBu7BIZcXAigOdoavUz4Ym3/Y/ROsW65IffblDn5CzifyXS
a+zprVYwYbnmbOvoAlm4sibVuo4Q8g2iNrKA5kEpfOckfE8NAFOiDZTeNSDTQwM1ArR7wCRSaOns
DlM7Xyq9z3D5+g9mNWo+R0NeEM0VoIB/yevBfZJiHMmhhFWqgGfjUTKhuipHcFImCfpzItT8dqno
fFAbNT6YDRrJ6ge4ckLseqiLOvrqJS6mw7ChTJfMOo2Kw9V7XJxZa+fEe3gR7IFL7cIbwtdYOTlP
hnQUNDL841vmGvB5MQWwWGXq1PrXicEfnRoq6QFshfAUlGrN37ZOTU9Xwh4eJpFNJJtUBgbgL0po
Pwj+KK7+ZBj5zfy39lnqJrkhQYd1V+pM6KdPYFbsmIPJ0YMWoULISXcOMMO6xyXK5IbHJGKA1Hf9
dFA+/R07l8aswxOYaM49SLx7oI+nLGhUdj3aLNrgmjcFoKFITTOn8Z201FGRtyZEZIhGojSca/B0
KI5JlyKLzNDzw36DIgOe7JvvbPen7TP4UQZJdHXRk/ior0qjEK/aKdiZLMEh2s3y1XiGyUUKd0HO
luZkrvhPqreNSYM4eLpoBpw+B/F2maxWbf2nOsUZgJHdJ6NHVTiKaPqiw12hxGdoqEBgIh+OS/pF
+VS46aI9eis6Ti282zJpKltklLSZzE5NWHXtZQMsHyVB0CbhnhhDdnpZCB3ha4cuugWVJ4geD9El
O/TSuPMvVLtEuJ9p2wxbjGf75NNHzV8K7JqC4eHubGthlC1o399oOU7Yf6NhmGcvvIlgdGI5i4XC
aBBI7J8ZxhmaqnMvi+8qSv4vF/4pw0mL6Z/cBG1Gz7n5sRdOLdYqwCwdd1TcrlBQxQ3DpCucXcsq
7PL47y0M6Emrzw3NJwJiVjWpILy9l8jftXiAfEMGKKLbWeqkJaj0LPIzympuX3MJRBPoiv35s8ut
ulKKFjD4Y6S8FfeaMKSmtr07fnKi1y9YVh+2c0aq/7fOS7KblGt2pYi8IDiOK9I/D6ZW6dcQ6xwg
TDHphQzPCjBidgHXBe0liC2SqhLa/Rj0WZWQqCqyyQyJiMQXNbQ3RU4yU4QNPLWo8r6zIsY8UQPL
lsOoTBfBzutHUTHiaC78bPZepSRIn4aYsLZJPjiI6J1tUh/mAFED26siUqPSCyKuqXf1MXidlwWP
bE8lHX0Y82cqYET8d99Y0jfC82Sqvdh+1/wIuHQrl0MzXuI0RTLYCpXufy8obKApYOru6C7kdxAt
wMcx6u6s3ajHrb9uwLpX6sEPzXHuGf5H7Pb8na99iBW30RyeZn5vhwu6yCF9IZjuRGvo58/cq+kz
Qa4PxQ2xBhuNzDN4JcddcS5Z3J7jZRo9MHLNHETrqi4ID19huDKbF4epCa/OCpMuiQfwlHRLLeMI
ClikDdicamu553w1aryoTdrpp45g5Egyk/CCVzvOvS3ZWYIHqFFccqWwg3DMNZRJolw1HaXogPNl
nPOLNs4dWL/5z6EKdVQxZFStYoGvbFPxkKHyMWqrbGVgO24l4gmNE81ove7FCVg3SwEng/89R/ld
c14PTxd3zznzbHIPQJIXwUYniyrw8/f6Bw8EPxwB2jmTIWpVP3tEL/E33128HdlY4uaKHUtidB8i
WxzVJL5EP9Tia/Ip2uqGTfQdL7KI3JnwEUmevyrxnJv9kOa3iwNcFh6aQmZnp6rocqnqJNPwjD7B
KDpZUHgG4pPNsLmgqHqdohp+yaw5y/mHYfS+9CTLstUGknMthRSf1iI7MQn2rMFIzRBwT2Gv+KWg
Vekm60G920oMx8cNIY3mmh0ByooONEgjBf8daR8U0AVPRFu5OhHCiKx+ruqOSHxlT1gegCOTb4l+
rnDxZzUEkEy3Ge7QMBKqnaI2RtkYVs4RcqzDRip5Mqnwk+amalmrbgybu0NJaA2hM2XgP8ClX/fB
blIzFyEixPdEZYgaMEuFhljR8l2xsW5yuXnkjAIab6h6H/1WmqFK15SGjtvj9ybRX9FztZFuXY9R
xvkDfwFQcC3ljkLw7twCApAMyTjtefsbKF/aTTO9716AubA45tZPcmtwTXTsggmGfzD9U/a83ZDY
vYF7eZSD5PapgQf6EKX6rTGptB2+nUHqeVuHark6rOZmgWMqPZrHpcHhyZjg5eIES6HAan06bnXB
8G7ZraFI+EpyWOwBnruPJEjMB7lsTGL40MDmUl+DwJ/xWdjdvmqhwhj2j5xX1q5kN53pZ8zjrOfz
TbyV/XpKdwVGbCsW0u4+J0K4G/u07T/XTnkwUHNpDbRQhhn/5FdqdJ61K1hpIwbMlzwAnR3HWiYA
H/Xaqnm/auGm5rO4p13+wu2/WRDwbGsQgKYFoUg/Xuad4wu4tnfczivNRpEE8sjVMFyO314M0Rbx
xULXT2rUfCEvnyCAxzNsceHsm0r01XOtturIIezrk8LW5UMV5VIlhnpsQA49WRTUnGbwa8ystKpu
JZbmQsP2GHieQ+NgJJc4KCTKiBdyvKWl7yJ1vCv1bIvgz2T60g6yICT41XeQLfXOt4WaWC+bhKFC
mzUoaMaD9CyGo+X3PhT7e0Odbf8UUH5U9cUDFgVZMAlaZfLFSXPb6nlvKc+kGnhAesQWyEJZCXiu
vMzZeYfjY8Tp16vaXzEBgEq3pF+Dh/Lnil/qyp0eX1DAAM4yvhqB6G5e+/Zp8xBLpwFCZi730CJY
v+KYPb3V3hYU8pPMgKijlcdMh0Y2SWygNJhdT7jursbg45C7t9fJr0K1mNzUJDz0/i8DuLKudTIE
Ncf4WQ2lcI85Bvk73cYvsCqTRZV7P+WYeHhtaWEoaO5UZJPH0bzoQS4jyijsFl/liVLqSDgrZHoK
c4QQW2ZgGeZbKMozQM+vHkNl6bQbhfQQpKw6WUjRfcziIEXVDbTBD/D0or2oLtzIbNeCrit01XnX
lIXw8M27furr8R4aqkCFvsEB4LZLYiijH60RmIB8Pbh4MEjTUFa6CHA/QQX+Shnodl3VHNXsKhhF
I0XJzMGTecWJ27BP0w4M1Nj+GYjDvnPewRPZtCcgmaQwfJcgpEDhfOSki0/C2dF7yv+n7lu7Pm2F
2LeNESBsblGOcRsGC+AB0tbYWMwmjIBuLNUDdwN3vDSIxAzMug0gyo8BTJ2Ti4WwGAwEocYP3MWj
hTM9xVwdJBmFb52l6TN9HHQXE0dyXZpupO22GXX33lsI4ejztqBegZnbtYSnMFOd1+BMq/E7Ql9w
mzgaJelgpyDkZFJBmA0g6cq7RPmVn5uYIQ4g2YomB6DAjMKmhpjhxYpBMVbb9YT1IIqXkwfn4eh1
XUW7arhFZ7TNCXT21uX9TIZ2w+TbndN99iQSASz5gXdfGSGT/FaBZyRktNjK9YLaqm2CMBGE06Rq
dgYkyLE/EMiwxdfMhXCRW6nqpKA1cQMAjGY9tPG8+GaPhyGR3G8rRDxzK08tOyhxZTOq7DCM54qU
dsJ/VQPM5ZIhL/96p5Iyj9zDsCTTfHrTL++AvfMeVwb3finXxtnbPbxj8jonIIfzywyyAMEBl7zd
fMx1/2O0RB3ZkdALIh+997dmfRI6z2efVqSdF0PlKLCJdVo5ftuC1M1iWPeHtgyTIUSP1j8P39IX
8+al5o43kRiRWDY5Tt7Ou5umR/R2oF8k3jxi3HBr7t5BAFvOupRtc01fE+RtI2WjtOAhxSJn0X8U
4NH8W0oFEbeFECCzhdVRK/m9two6vm3FZpQGFu2+fIsSgYKFbGlM/0WfQ1VwGh26pu88nfG11Nnj
96lcsu559WnsK3SHVHg1y/qDSkLuUIWLOrQchSjsSBXgjbJvr3mIZXzjFRyxzPFpFakFkRNYyuCd
IHJR4vxjBvpyGgGHMW7lluNemmLQDYVgU50AqMcZ+rYakim0yrp+f6S8YbQP8mWZsv8u+/bG2ZVu
cQG2zD140zWDPEAWcG396chzGfALtDKon9KT+KizI6+UtqiC2hPhrCAcqDBOJ30pYCz+jaI2lYeL
U4DPxLE2zr61vzzVZBk8R6G7n8NYgnQ/4wOCY7gP3GV1neq3bVOUCK1vcxn9w+37lELR2iMy+E+t
1A7MUIaxidEZ8l5R3UMfr6fMRL9aiEepLA/Xs1MoDIoZeNuOUl1dlm/gBZxq3YhaeHnWrPLetO/h
A76O5bxB4QU7Wgm9DmMi93NvuJubFJwfvP7VV3IlvE7xeOMBlnEA+s6FR2ikvjPlYDawWtOayON0
G11NvaVBp/C2U/oxyFhQGZXC/CqbCFt8naDjRwle42XWeTHT2tMFTuHfoIP6iIyreuAiuVb9B5hr
Hs67K4bUGbCtiG/5AxanHk3Vkz3WVYSbJxBWzwAPQt6f0ieamOmLSvVInXao9TQxUNJrXVF4oaBw
sZYM60e7sDr07Ep2ecX5dLTLp2oRqPk+Gbglr1iHlHQjsX8HLWJ0EaVgOmwsOOIg90DGjyN+cSpB
sgtkMEVfO3JJp3W4JgJo9IV9fsvFFl4CklZ2uaHyB7Fs/nMkRLmN5O9UmrINVTL1EkbEpT0hFGWK
yt9rkf+q4tEI71cUMYMhzrzt+QzfjTe2rY6/92Uc5cUFu/LteG69HAVp7Tr7cYAF6ZVOgG2/4XmF
A/8pzbuRytTtvgw0+jH03owoWOasuYb8pgedER5Dx0DCO2IBAzJY5ceHOGW7rFTy+OEik7jVEBxd
M1vRTFnjd8Y34s58gv6VKE4bG/34mwlpn5i14JKJuyCFDXt81gguvlplBIsVYAcfO4MPLeo6/lfr
QBJh/M2Y9fF9GpLz0hPpVQz430B8YoMQwCqbAMvpV0/y7CiC/4WhcFhGu7X+fuDyGSoAf95Bdibe
u+ZPwaJgMmpnd6igVxtTCqV5Ha298dtatw/WRpc3qOpU4Vkz/O21CfMMfmdiw8/0R5khZZNPsM7M
45j/ju5vEnJV5tx+zBHdw6xcLwkxyyTOxgZhibqIdZPe9RDTbYIjz3fSFBlvzRSVlHa6n8Fvchv6
pBqt9EZoDAwMCVKREQIDgTtxmIjZaYURrlRqRcc6V/1tG3aXfKCYRhWWJGSBiIAFszXe9LhBAfao
uTAvkteL9G5J8ogc8WIxZc8hEu5Zh5BugcZusuKcFabr3SXh7pr6DHFSV3xfC/J1AFbzca4Z5YLD
Bp5mnxFGCTNK0Cjx0blcSSpWozfYvAqzSpzYIpbEKPHIlYbxncO00CFrWPiKIaDvh81Hhotbj+r0
6/5Rmmj2qbeCZHTv6ezSMwD8B7Ztd/LY0ItzkYCVEt8lsunZ3wCGyIm451EbJvQg/iyhb6diVbgx
D1eHsMi26s7YWVhHQJzBh6Jy8YPRslwhz9x7W5Pn4TWv4fVBZRXJnZwttcemri7OX9ONepDUxsTR
5RkbKV4Kx6XoFrmZwggYmraHveWp8qal/0fb6uqj6RL4vRHWp8JuJeyj8Yyu0U2EdHBNsOvlM/9w
JZ/kWhIezK88hMSjeP1ReS547Ot70Qy8nJI69RN+yzV8Z4L+KCLNcIkI6QxcbyYjEK3w1wGTDLqy
IRLESj/RrMsgjcl9wkcpHYc2+b2DtzzentmoMNb18X1uu5d9EZiu3qHmA2QdDvGGQrwDMfXNIv5K
xnrWCGdi1UsqOvtWUNN4ScOdflTd5jpaHvvgyjDKlwoCJ1dDOgJomYL2d2Ni0nEb4fV0Zr3jC0sq
Ucws1cQQr4h9gK/AxcSfC5HZNkaL4qNKGSnVKcJIOEA8KuIHRmc+8GIkXIPsTjAH53SaBHD9T0mg
GTAxUX6PR7aepirXogpAjaVo
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
J2ZnuUy2qtUDmvL9lwHkNuhPvdMiRw1GcQ+q+XTT6Bl9qOR+wQn32bntBW+qJ9qdg1ChMWbh2uN9
yYsU13eSow==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
dokjGPbFX+SEENR2liFVeji8bFZk5aShs9n3dSHnD6UMWvkhiEMA6sK8PhWWmoER75vPPte7A0cS
bDJ1Yczg2FL9+BnOJUXGrWtbLb6hh97CcHWR+nEKYcA32AI2B6Q2oy1dHwwcI5viwFo5NTQzzAo6
hcrwkzgnovbJsb+EIZA=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
MarfcO8bHlPnIq5Xh4R/dXdOIitG76+bzsAKS3wDwnOFiXEuMFz7e4gVMa4ReQM12EnvajBLkQcW
BrN+yjv6/i2OHOAhuRnS5eRwWGDrnUPrelNnzoGGtxrVHOSqBYAx6C/4oJKGb6oPskjl/GlwugYD
BUK/kmeu6iNMXfZU3Z32F8iZ74rw39xOsU3PNyyGnLG5yNwgU3JwLSPw0ygmgTFEEqjG7k+22pB0
26ZwxaOsAd117rTjGEuAWK1mvwFTc2i8gbFU/A62YlR5Et6JirkmED4r4fRZVg+LoVxuwK7SDHOC
Q0UNHHy9krbNdHi0A/bUEbNp5L3m1Heaaj1q5Q==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
Qk1zo4VzKlasgJhvj+UnX6MQuzQzG154L1WOEJ2Md0aWs3IqiPXGs2Lrt9XG7h/YB7ODPRPJe7RD
QFbNj+pDwkzmDg5snUVGzqOThptKMKXuupSoweLEIADu+A/yqaPHPiUXAfbcPvi4REk6/bKptILE
hwk7vuFK4XEmD7beq2Q=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
WKdYpHv5IZvRv+FVGs0lPNikyUt2h6lNujNWp9sEfTXjQ6OvBmf5DK0A3aAuOdlLTpeQooxlG0t6
Y7FlVMTaIFs28zGa0CHk3T8PgRn7rYkerxFhY/C9BW3QQLyIhO7YA3c2llQPUzEqcJH4EsvkSVZh
As3iGOp0tDauglmNcV58JiwhLIOo588iIGJhdZIerWLEKDP3q6fZxlzopjITgWSdWWPEwOD5Nqsw
sLOlYv9cyo8QypW/1eDqWFrpfk/HKWGeI8A8PBv1wnYkZPWQsNVY5i9xLYcZQzlJFjzR0Wbv8Rod
k4Wj/9OaagFh7QDl2AkkDmaxs8+EfhKmWT29Hw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 7200)
`protect data_block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`protect end_protected
|
-- -------------------------------------------------------------
--
-- Generated Configuration for inst_4_e
--
-- Generated
-- by: wig
-- on: Fri Jul 15 13:54:30 2005
-- cmd: h:/work/eclipse/mix/mix_0.pl -nodelta ../macro.xls
--
-- !!! Do not edit this file! Autogenerated by MIX !!!
-- $Author: wig $
-- $Id: inst_4_e-rtl-conf-c.vhd,v 1.2 2005/07/15 16:20:01 wig Exp $
-- $Date: 2005/07/15 16:20:01 $
-- $Log: inst_4_e-rtl-conf-c.vhd,v $
-- Revision 1.2 2005/07/15 16:20:01 wig
-- Update all testcases; still problems though
--
--
-- Based on Mix Entity Template built into RCSfile: MixWriter.pm,v
-- Id: MixWriter.pm,v 1.55 2005/07/13 15:38:34 wig Exp
--
-- Generator: mix_0.pl Version: Revision: 1.36 , [email protected]
-- (C) 2003 Micronas GmbH
--
-- --------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
-- No project specific VHDL libraries/conf
--
-- Start of Generated Configuration inst_4_e_rtl_conf / inst_4_e
--
configuration inst_4_e_rtl_conf of inst_4_e is
for rtl
-- Generated Configuration
end for;
end inst_4_e_rtl_conf;
--
-- End of Generated Configuration inst_4_e_rtl_conf
--
--
--!End of Configuration/ies
-- --------------------------------------------------------------
|
-------------------------------------------------------------------------------
-- Title : A Register File Made of Dual Port Block RAM
-------------------------------------------------------------------------------
-- Platform : Xilinx Spartan 3A
-- Standard : VHDL'87
-------------------------------------------------------------------------------
-- Description: A Larger Register File Using Block RAM.
--
-- A dual port block RAM is interfaced to the internal parallel
-- bus.
--
-- Each SelectRAM in Spartan-3(A/E/AN) has 18432 data bits and can
-- be configured as 1024 address x 16 data bits.
--
-- Port A of Block RAM: connected to the internal parallel bus:
-- 1024 addresses of 16 bits
-- 1024 address = 10 bits (9 downto 0)
--
-- Port B: used by the internal processes of the design.
-- Same configuration
--
-------------------------------------------------------------------------------
-- Copyright (c) 2012 strongly-typed
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.bus_pkg.all;
use work.reg_file_pkg.all;
use work.xilinx_block_ram_pkg.all;
-------------------------------------------------------------------------------
entity reg_file_bram is
generic (
-- The module uses 10 bits for 1024 addresses and the base address must be aligned.
-- Valid BASE_ADDRESSes are 0x0000, 0x0400, 0x0800, ...
BASE_ADDRESS : integer range 0 to 2**15-1);
port (
-- Interface to the internal parallel bus.
bus_o : out busdevice_out_type;
bus_i : in busdevice_in_type;
-- Read and write interface to the block RAM for the application.
bram_data_i : in std_logic_vector(15 downto 0) := (others => '0');
bram_data_o : out std_logic_vector(15 downto 0) := (others => '0');
bram_addr_i : in std_logic_vector(9 downto 0) := (others => '0');
bram_we_p : in std_logic := '0';
-- No reset, all signals are initialised.
clk : in std_logic);
end reg_file_bram;
-------------------------------------------------------------------------------
architecture str of reg_file_bram is
constant BASE_ADDRESS_VECTOR : std_logic_vector(14 downto 0) :=
std_logic_vector(to_unsigned(BASE_ADDRESS, 15));
-- Port A to bus
constant ADDR_A_WIDTH : positive := 10;
constant DATA_A_WIDTH : positive := 16;
-- Port B to application
constant ADDR_B_WIDTH : positive := 10;
constant DATA_B_WIDTH : positive := 16;
-----------------------------------------------------------------------------
-- Internal signal declarations
-----------------------------------------------------------------------------
signal ram_a_addr : std_logic_vector(ADDR_A_WIDTH-1 downto 0) := (others => '0');
signal ram_a_out : std_logic_vector(DATA_A_WIDTH-1 downto 0) := (others => '0');
signal ram_a_in : std_logic_vector(DATA_A_WIDTH-1 downto 0) := (others => '0');
signal ram_a_we : std_logic := '0';
signal ram_a_en : std_logic := '0';
signal ram_a_ssr : std_logic := '0';
signal ram_b_addr : std_logic_vector(ADDR_B_WIDTH-1 downto 0) := (others => '0');
signal ram_b_out : std_logic_vector(DATA_B_WIDTH-1 downto 0) := (others => '0');
signal ram_b_in : std_logic_vector(DATA_B_WIDTH-1 downto 0) := (others => '0');
signal ram_b_we : std_logic := '0';
signal ram_b_en : std_logic := '0';
signal ram_b_ssr : std_logic := '0';
--
signal addr_match_a : std_logic;
signal bus_o_enable_d : std_logic := '0';
signal bus_o_enable_d2 : std_logic := '0';
begin -- str
----------------------------------------------------------------------------
-- Connections
----------------------------------------------------------------------------
----------------------------------------------------------------------------
-- Block RAM as dual port RAM with asymmetrical port widths.
----------------------------------------------------------------------------
dp_1 : xilinx_block_ram_dual_port
generic map (
ADDR_A_WIDTH => ADDR_A_WIDTH,
ADDR_B_WIDTH => ADDR_B_WIDTH,
DATA_A_WIDTH => DATA_A_WIDTH,
DATA_B_WIDTH => DATA_B_WIDTH)
port map (
addr_a => ram_a_addr,
addr_b => ram_b_addr,
din_a => ram_a_in,
din_b => ram_b_in,
dout_a => ram_a_out,
dout_b => ram_b_out,
we_a => ram_a_we,
we_b => ram_b_we,
en_a => ram_a_en,
en_b => ram_b_en,
ssr_a => ram_a_ssr,
ssr_b => ram_b_ssr,
clk_a => clk,
clk_b => clk);
----------------------------------------------------------------------------
-- Port A: parallel bus
----------------------------------------------------------------------------
-- Always present the address from the parallel bus to the block RAM.
-- When the bus address matches the address range of the block RAM
-- route the result of the Block RAM to the parallel bus.
ram_a_addr <= bus_i.addr(ADDR_A_WIDTH-1 downto 0);
ram_a_in <= bus_i.data;
-- ADDR_A_WIDTH = 10
-- 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0
-- |<---- match ---->|
addr_match_a <= '1' when (bus_i.addr(14 downto ADDR_A_WIDTH) = BASE_ADDRESS_VECTOR(14 downto ADDR_A_WIDTH)) else '0';
-- Always enable RAM
ram_a_en <= '1';
-- The block RAM keeps its output latches when EN is '0'. This behaviour is
-- not compatible with the parallel bus where the bus output must be 0 when
-- the device is not selected.
-- Solution: Use Synchronous Reset of the output latches:
ram_a_ssr <= '0' when (addr_match_a = '1') and (bus_i.re = '1') else '1';
-- Write enable
ram_a_we <= '1' when (addr_match_a = '1') and (bus_i.we = '1') else '0';
bus_o.data <= ram_a_out;
----------------------------------------------------------------------------
-- Port B: internal device
----------------------------------------------------------------------------
-- always enable the RAM
ram_b_en <= '1';
-- write to the RAM
ram_b_we <= bram_we_p;
ram_b_addr <= bram_addr_i;
ram_b_in <= bram_data_i;
bram_data_o <= ram_b_out;
end str;
-------------------------------------------------------------------------------
|
----------------------------------------------------------------------------------
-- Company: LARC - Escola Politecnica - University of Sao Paulo
-- Engineer: Pedro Maat C. Massolino
--
-- Create Date: 05/12/2012
-- Design Name: McEliece_QD-Goppa_Decrypt
-- Module Name: McEliece_QD-Goppa_Decrypt
-- Project Name: McEliece Goppa Decryption
-- Target Devices: Any
-- Tool versions: Xilinx ISE 13.3 WebPack
--
-- Description:
--
-- This test bench tests mceliece_qd_goppa_decrypt circuit.
-- The test is done only for one value loaded into memories, and in the end the output
-- memories are verified.
--
-- The circuits parameters
--
-- PERIOD :
--
-- Input clock period to be applied on the test.
--
-- number_of_syndrome_and_find_units :
--
-- The number of pipelines in find_correct_errors_n, polynomial_evaluator_n_v2 and
-- syndrome_calculator_n_pipe_v3 circuits. The number of pipelines is shared between the root
-- finding process and syndrome computation. This happens because of how shared memories.
-- This number can be 1 or greater, however, tests for this unit were only made for 1 and 2.
--
-- syndrome_calculator_units :
--
-- The number of units inside of each syndrome pipeline computational unit.
-- This number can be 1 or greater.
--
-- find_correct_errors_pipeline_size :
--
-- This is the number of stages on the find_correct_errors_n and polynomial_evaluator_n_v2
-- circuits. This number can be 2 or greater.
--
-- find_correct_errors_size_pipeline_size :
--
-- The number of bits necessary to hold the number of stages on the pipeline.
-- This is ceil(log2(find_correct_errors_pipeline_size))
--
-- gf_2_m :
--
-- The size of the finite field extension used in this circuit.
-- This values depends of the Goppa code used.
--
-- length_codeword :
--
-- The length of the codeword in this Goppa code.
-- This values depends of the Goppa code used.
--
-- size_codeword :
--
-- The number of bits necessary to store an array of codeword lengths.
-- This is ceil(log2(length_codeword))
--
-- number_of_errors :
--
-- The number of errors the Goppa code is able to decode.
-- This values depends of the Goppa code used.
--
-- size_number_of_errors :
--
-- The number of bits necessary to store an array of number of errors + 1 length.
-- This is ceil(log2(number_of_errors+1))
--
-- file_memory_L :
--
-- This file stores the private key, support elements L.
--
-- file_memory_h :
--
-- This file stores the private key, the inverted evaluation of all support elements L
-- into polynomial g, aka g(L)^(-1)
--
-- file_memory_codeword :
--
-- This file stores the ciphertext that will be decrypted.
--
-- file_memory_message :
--
-- This file stores the plaintext obtained by decrypting the ciphertext.
-- This is necessary to verify if the circuit decrypted correctly the ciphertext.
--
-- file_memory_error :
--
-- This file stores the error array added to the codeword to transform into the ciphertext.
-- This is necessary to verify if the circuit decrypted correctly the ciphertext.
--
--
-- Dependencies:
-- VHDL-93
-- IEEE.NUMERIC_STD_ALL;
--
-- mceliece_qd_goppa_decrypt Rev 1.0
-- ram Rev 1.0
-- ram_double Rev 1.0
-- ram_bank Rev 1.0
-- ram_double_bank Rev 1.0
-- ram_multiple_access Rev 1.0
-- ram_double_multiple_access Rev 1.0
--
-- Revision:
-- Revision 1.0
-- Additional Comments:
--
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.NUMERIC_STD.ALL;
entity tb_mceliece_qd_goppa_decrypt is
Generic(
PERIOD : time := 10 ns;
-- QD-GOPPA [52, 28, 4, 6] --
-- number_of_syndrome_and_find_units : integer := 1;
-- syndrome_calculator_units : integer := 2;
-- find_correct_errors_pipeline_size : integer := 2;
-- find_correct_errors_size_pipeline_size : integer := 2;
-- gf_2_m : integer range 1 to 20 := 6;
-- length_codeword : integer := 52;
-- size_codeword : integer := 6;
-- number_of_errors : integer := 4;
-- size_number_of_errors : integer := 3;
-- file_memory_L : string := "mceliece/data_tests/L_qdgoppa_52_28_4_6.dat";
-- file_memory_h : string := "mceliece/data_tests/h_qdgoppa_52_28_4_6.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_qdgoppa_52_28_4_6.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_qdgoppa_52_28_4_6.dat";
-- file_memory_error : string := "mceliece/data_tests/error_qdgoppa_52_28_4_6.dat"
-- GOPPA [2048, 1751, 27, 11] --
-- number_of_syndrome_and_find_units : integer := 2;
-- syndrome_calculator_units : integer := 1;
-- find_correct_errors_pipeline_size : integer := 2;
-- find_correct_errors_size_pipeline_size : integer := 2;
-- gf_2_m : integer range 1 to 20 := 11;
-- length_codeword : integer := 2048;
-- size_codeword : integer := 11;
-- number_of_errors : integer := 27;
-- size_number_of_errors : integer := 5;
-- file_memory_L : string := "mceliece/data_tests/L_goppa_2048_1751_27_11.dat";
-- file_memory_h : string := "mceliece/data_tests/h_goppa_2048_1751_27_11.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_goppa_2048_1751_27_11.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_goppa_2048_1751_27_11.dat";
-- file_memory_error : string := "mceliece/data_tests/error_goppa_2048_1751_27_11.dat"
-- GOPPA [2048, 1498, 50, 11] --
-- number_of_syndrome_and_find_units : integer := 2;
-- syndrome_calculator_units : integer := 1;
-- find_correct_errors_pipeline_size : integer := 2;
-- find_correct_errors_size_pipeline_size : integer := 2;
-- gf_2_m : integer range 1 to 20 := 11;
-- length_codeword : integer := 2048;
-- size_codeword : integer := 11;
-- number_of_errors : integer := 50;
-- size_number_of_errors : integer := 6;
-- file_memory_L : string := "mceliece/data_tests/L_goppa_2048_1498_50_11.dat";
-- file_memory_h : string := "mceliece/data_tests/h_goppa_2048_1498_50_11.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_goppa_2048_1498_50_11.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_goppa_2048_1498_50_11.dat";
-- file_memory_error : string := "mceliece/data_tests/error_goppa_2048_1498_50_11.dat"
-- GOPPA [3307, 2515, 66, 12] --
-- number_of_syndrome_and_find_units : integer := 2;
-- syndrome_calculator_units : integer := 1;
-- find_correct_errors_pipeline_size : integer := 2;
-- find_correct_errors_size_pipeline_size : integer := 2;
-- gf_2_m : integer range 1 to 20 := 12;
-- length_codeword : integer := 3307;
-- size_codeword : integer := 12;
-- number_of_errors : integer := 66;
-- size_number_of_errors : integer := 7;
-- file_memory_L : string := "mceliece/data_tests/L_goppa_3307_2515_66_12.dat";
-- file_memory_h : string := "mceliece/data_tests/h_goppa_3307_2515_66_12.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_goppa_3307_2515_66_12.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_goppa_3307_2515_66_12.dat";
-- file_memory_error : string := "mceliece/data_tests/error_goppa_3307_2515_66_12.dat"
-- QD-GOPPA [2528, 2144, 32, 12] --
-- number_of_syndrome_and_find_units : integer := 2;
-- syndrome_calculator_units : integer := 1;
-- find_correct_errors_pipeline_size : integer := 2;
-- find_correct_errors_size_pipeline_size : integer := 2;
-- gf_2_m : integer range 1 to 20 := 12;
-- length_codeword : integer := 2528;
-- size_codeword : integer := 12;
-- number_of_errors : integer := 32;
-- size_number_of_errors : integer := 6;
-- file_memory_L : string := "mceliece/data_tests/L_qdgoppa_2528_2144_32_12.dat";
-- file_memory_h : string := "mceliece/data_tests/h_qdgoppa_2528_2144_32_12.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_qdgoppa_2528_2144_32_12.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_qdgoppa_2528_2144_32_12.dat";
-- file_memory_error : string := "mceliece/data_tests/error_qdgoppa_2528_2144_32_12.dat"
-- QD-GOPPA [2816, 2048, 64, 12] --
-- number_of_syndrome_and_find_units : integer := 2;
-- syndrome_calculator_units : integer := 1;
-- find_correct_errors_pipeline_size : integer := 9;
-- find_correct_errors_size_pipeline_size : integer := 4;
-- gf_2_m : integer range 1 to 20 := 12;
-- length_codeword : integer := 2816;
-- size_codeword : integer := 12;
-- number_of_errors : integer := 64;
-- size_number_of_errors : integer := 7;
-- file_memory_L : string := "mceliece/data_tests/L_qdgoppa_2816_2048_64_12.dat";
-- file_memory_h : string := "mceliece/data_tests/h_qdgoppa_2816_2048_64_12.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_qdgoppa_2816_2048_64_12.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_qdgoppa_2816_2048_64_12.dat";
-- file_memory_error : string := "mceliece/data_tests/error_qdgoppa_2816_2048_64_12.dat"
-- QD-GOPPA [3328, 2560, 64, 12] --
-- number_of_syndrome_and_find_units : integer := 2;
-- syndrome_calculator_units : integer := 1;
-- find_correct_errors_pipeline_size : integer := 2;
-- find_correct_errors_size_pipeline_size : integer := 2;
-- gf_2_m : integer range 1 to 20 := 12;
-- length_codeword : integer := 3328;
-- size_codeword : integer := 12;
-- number_of_errors : integer := 64;
-- size_number_of_errors : integer := 7;
-- file_memory_L : string := "mceliece/data_tests/L_qdgoppa_3328_2560_64_12.dat";
-- file_memory_h : string := "mceliece/data_tests/h_qdgoppa_3328_2560_64_12.dat";
-- file_memory_codeword : string := "mceliece/data_tests/ciphertext_qdgoppa_3328_2560_64_12.dat";
-- file_memory_message : string := "mceliece/data_tests/plaintext_qdgoppa_3328_2560_64_12.dat";
-- file_memory_error : string := "mceliece/data_tests/error_qdgoppa_3328_2560_64_12.dat"
-- QD-GOPPA [7296, 5632, 128, 13] --
number_of_syndrome_and_find_units : integer := 1;
syndrome_calculator_units : integer := 32;
find_correct_errors_pipeline_size : integer := 17;
find_correct_errors_size_pipeline_size : integer := 5;
gf_2_m : integer range 1 to 20 := 13;
length_codeword : integer := 7296;
size_codeword : integer := 13;
number_of_errors : integer := 128;
size_number_of_errors : integer := 8;
file_memory_L : string := "mceliece/data_tests/L_qdgoppa_7296_5632_128_13.dat";
file_memory_h : string := "mceliece/data_tests/h_qdgoppa_7296_5632_128_13.dat";
file_memory_codeword : string := "mceliece/data_tests/ciphertext_qdgoppa_7296_5632_128_13.dat";
file_memory_message : string := "mceliece/data_tests/plaintext_qdgoppa_7296_5632_128_13.dat";
file_memory_error : string := "mceliece/data_tests/error_qdgoppa_7296_5632_128_13.dat"
);
end tb_mceliece_qd_goppa_decrypt;
architecture Behavioral of tb_mceliece_qd_goppa_decrypt is
component ram
Generic (
ram_address_size : integer;
ram_word_size : integer;
file_ram_word_size : integer;
load_file_name : string := "ram.dat";
dump_file_name : string := "ram.dat"
);
Port (
data_in : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
rw : in STD_LOGIC;
clk : in STD_LOGIC;
rst : in STD_LOGIC;
dump : in STD_LOGIC;
address : in STD_LOGIC_VECTOR ((ram_address_size - 1) downto 0);
rst_value : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_out : out STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0)
);
end component;
component ram_double
Generic (
ram_address_size : integer;
ram_word_size : integer;
file_ram_word_size : integer;
load_file_name : string := "ram.dat";
dump_file_name : string := "ram.dat"
);
Port (
data_in_a : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_in_b : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
rw_a : in STD_LOGIC;
rw_b : in STD_LOGIC;
clk : in STD_LOGIC;
rst : in STD_LOGIC;
dump : in STD_LOGIC;
address_a : in STD_LOGIC_VECTOR ((ram_address_size - 1) downto 0);
address_b : in STD_LOGIC_VECTOR ((ram_address_size - 1) downto 0);
rst_value : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_out_a : out STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_out_b : out STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0)
);
end component;
component ram_bank
Generic (
number_of_memories : integer;
ram_address_size : integer;
ram_word_size : integer;
file_ram_word_size : integer;
load_file_name : string := "ram.dat";
dump_file_name : string := "ram.dat"
);
Port (
data_in : in STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
rw : in STD_LOGIC;
clk : in STD_LOGIC;
rst : in STD_LOGIC;
dump : in STD_LOGIC;
address : in STD_LOGIC_VECTOR ((ram_address_size - 1) downto 0);
rst_value : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_out : out STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0)
);
end component;
component ram_double_bank
Generic (
number_of_memories : integer;
ram_address_size : integer;
ram_word_size : integer;
file_ram_word_size : integer;
load_file_name : string := "ram.dat";
dump_file_name : string := "ram.dat"
);
Port (
data_in_a : in STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
data_in_b : in STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
rw_a : in STD_LOGIC;
rw_b : in STD_LOGIC;
clk : in STD_LOGIC;
rst : in STD_LOGIC;
dump : in STD_LOGIC;
address_a : in STD_LOGIC_VECTOR ((ram_address_size - 1) downto 0);
address_b : in STD_LOGIC_VECTOR ((ram_address_size - 1) downto 0);
rst_value : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_out_a : out STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
data_out_b : out STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0)
);
end component;
component ram_multiple_access
Generic (
number_of_memories : integer;
ram_address_size : integer;
ram_word_size : integer;
file_ram_word_size : integer;
load_file_name : string := "ram.dat";
dump_file_name : string := "ram.dat"
);
Port (
data_in : in STD_LOGIC_VECTOR(((ram_word_size)*(number_of_memories) - 1) downto 0);
rw : in STD_LOGIC;
clk : in STD_LOGIC;
rst : in STD_LOGIC;
dump : in STD_LOGIC;
address : in STD_LOGIC_VECTOR(((ram_address_size)*(number_of_memories) - 1) downto 0);
rst_value : in STD_LOGIC_VECTOR((ram_word_size - 1) downto 0);
data_out : out STD_LOGIC_VECTOR(((ram_word_size)*(number_of_memories) - 1) downto 0)
);
end component;
component ram_double_multiple_access
Generic (
number_of_memories : integer;
ram_address_size : integer;
ram_word_size : integer;
file_ram_word_size : integer;
load_file_name : string := "ram.dat";
dump_file_name : string := "ram.dat"
);
Port (
data_in_a : in STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
data_in_b : in STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
rw_a : in STD_LOGIC;
rw_b : in STD_LOGIC;
clk : in STD_LOGIC;
rst : in STD_LOGIC;
dump : in STD_LOGIC;
address_a : in STD_LOGIC_VECTOR (((ram_address_size)*(number_of_memories) - 1) downto 0);
address_b : in STD_LOGIC_VECTOR (((ram_address_size)*(number_of_memories) - 1) downto 0);
rst_value : in STD_LOGIC_VECTOR ((ram_word_size - 1) downto 0);
data_out_a : out STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0);
data_out_b : out STD_LOGIC_VECTOR (((ram_word_size)*(number_of_memories) - 1) downto 0)
);
end component;
component mceliece_qd_goppa_decrypt
Generic(
number_of_syndrome_and_find_units : integer;
syndrome_calculator_units : integer;
find_correct_errors_pipeline_size : integer;
find_correct_errors_size_pipeline_size : integer;
gf_2_m : integer range 1 to 20;
length_codeword : integer;
size_codeword : integer;
number_of_errors : integer;
size_number_of_errors : integer
);
Port(
clk : in STD_LOGIC;
rst : in STD_LOGIC;
value_h : in STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
value_L : in STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
value_syndrome : in STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
value_codeword : in STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
value_G : in STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
value_B : in STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
value_sigma : in STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
value_sigma_evaluated : in STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
syndrome_generation_finalized : out STD_LOGIC;
key_equation_finalized : out STD_LOGIC;
decryption_finalized : out STD_LOGIC;
address_value_h : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
address_value_L : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
address_value_syndrome : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_value_codeword : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
address_value_G : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_value_B : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_value_sigma : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_value_sigma_evaluated : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
new_value_syndrome : out STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
new_value_G : out STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
new_value_B : out STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
new_value_sigma : out STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
new_value_message : out STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
new_value_error : out STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
new_value_sigma_evaluated : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
write_enable_new_value_syndrome : out STD_LOGIC;
write_enable_new_value_G : out STD_LOGIC;
write_enable_new_value_B : out STD_LOGIC;
write_enable_new_value_sigma : out STD_LOGIC;
write_enable_new_value_message : out STD_LOGIC;
write_enable_new_value_error : out STD_LOGIC;
write_enable_new_value_sigma_evaluated : out STD_LOGIC;
address_new_value_syndrome : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_new_value_G : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_new_value_B : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_new_value_sigma : out STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
address_new_value_message : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
address_new_value_error : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
address_new_value_sigma_evaluated : out STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0)
);
end component;
signal clk : STD_LOGIC := '0';
signal rst : STD_LOGIC;
signal value_h : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
signal value_L : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
signal value_syndrome : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal value_codeword : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal value_G : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal value_B : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal value_sigma : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal value_sigma_evaluated : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
signal syndrome_generation_finalized : STD_LOGIC;
signal key_equation_finalized : STD_LOGIC;
signal decryption_finalized : STD_LOGIC;
signal address_value_h : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal address_value_L : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal address_value_syndrome : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_value_codeword : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal address_value_G : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_value_B : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_value_sigma : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_value_sigma_evaluated : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal new_value_syndrome : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal new_value_G : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal new_value_B : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal new_value_sigma : STD_LOGIC_VECTOR((gf_2_m - 1) downto 0);
signal new_value_message : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal new_value_error : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal new_value_sigma_evaluated : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(gf_2_m) - 1) downto 0);
signal write_enable_new_value_syndrome : STD_LOGIC;
signal write_enable_new_value_G : STD_LOGIC;
signal write_enable_new_value_B : STD_LOGIC;
signal write_enable_new_value_sigma : STD_LOGIC;
signal write_enable_new_value_message : STD_LOGIC;
signal write_enable_new_value_error : STD_LOGIC;
signal write_enable_new_value_sigma_evaluated : STD_LOGIC;
signal address_new_value_syndrome : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_new_value_G : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_new_value_B : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_new_value_sigma : STD_LOGIC_VECTOR((size_number_of_errors + 1) downto 0);
signal address_new_value_message : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal address_new_value_error : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal address_new_value_sigma_evaluated : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal true_address_new_value_message : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal true_value_message : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal test_value_message : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal true_address_new_value_error : STD_LOGIC_VECTOR(((number_of_syndrome_and_find_units)*(size_codeword) - 1) downto 0);
signal true_value_error : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal test_value_error : STD_LOGIC_VECTOR((number_of_syndrome_and_find_units - 1) downto 0);
signal error_value_message : STD_LOGIC;
signal error_value_error : STD_LOGIC;
signal test_bench_finish : STD_LOGIC := '0';
signal cycle_count : integer range 0 to 2000000000 := 0;
begin
test : mceliece_qd_goppa_decrypt
Generic Map(
number_of_syndrome_and_find_units => number_of_syndrome_and_find_units,
syndrome_calculator_units => syndrome_calculator_units,
find_correct_errors_pipeline_size => find_correct_errors_pipeline_size,
find_correct_errors_size_pipeline_size => find_correct_errors_size_pipeline_size,
gf_2_m => gf_2_m,
length_codeword => length_codeword,
size_codeword => size_codeword,
number_of_errors => number_of_errors,
size_number_of_errors => size_number_of_errors
)
Port Map(
clk => clk,
rst => rst,
value_h => value_h,
value_L => value_L,
value_syndrome => value_syndrome,
value_codeword => value_codeword,
value_G => value_G,
value_B => value_B,
value_sigma => value_sigma,
value_sigma_evaluated => value_sigma_evaluated,
syndrome_generation_finalized => syndrome_generation_finalized,
key_equation_finalized => key_equation_finalized,
decryption_finalized => decryption_finalized,
address_value_h => address_value_h,
address_value_L => address_value_L,
address_value_syndrome => address_value_syndrome,
address_value_codeword => address_value_codeword,
address_value_G => address_value_G,
address_value_B => address_value_B,
address_value_sigma => address_value_sigma,
address_value_sigma_evaluated => address_value_sigma_evaluated,
new_value_syndrome => new_value_syndrome,
new_value_G => new_value_G,
new_value_B => new_value_B,
new_value_sigma => new_value_sigma,
new_value_message => new_value_message,
new_value_error => new_value_error,
new_value_sigma_evaluated => new_value_sigma_evaluated,
write_enable_new_value_syndrome => write_enable_new_value_syndrome,
write_enable_new_value_G => write_enable_new_value_G,
write_enable_new_value_B => write_enable_new_value_B,
write_enable_new_value_sigma => write_enable_new_value_sigma,
write_enable_new_value_message => write_enable_new_value_message,
write_enable_new_value_error => write_enable_new_value_error,
write_enable_new_value_sigma_evaluated => write_enable_new_value_sigma_evaluated,
address_new_value_syndrome => address_new_value_syndrome,
address_new_value_G => address_new_value_G,
address_new_value_B => address_new_value_B,
address_new_value_sigma => address_new_value_sigma,
address_new_value_message => address_new_value_message,
address_new_value_error => address_new_value_error,
address_new_value_sigma_evaluated => address_new_value_sigma_evaluated
);
mem_L : entity work.ram_multiple_access(file_load)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => file_memory_L,
dump_file_name => ""
)
Port Map(
data_in => (others => '0'),
rw => '0',
clk => clk,
rst => rst,
dump => '0',
address => address_value_L,
rst_value => (others => '0'),
data_out => value_L
);
mem_h : entity work.ram_multiple_access(file_load)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => file_memory_h,
dump_file_name => ""
)
Port Map(
data_in => (others => '0'),
rw => '0',
clk => clk,
rst => rst,
dump => '0',
address => address_value_h,
rst_value => (others => '0'),
data_out => value_h
);
mem_codeword : entity work.ram_multiple_access(file_load)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => 1,
file_ram_word_size => 1,
load_file_name => file_memory_codeword,
dump_file_name => ""
)
Port Map(
data_in => (others => '0'),
rw => '0',
clk => clk,
rst => rst,
dump => '0',
address => address_value_codeword,
rst_value => (others => '0'),
data_out => value_codeword
);
mem_sigma_evaluated : entity work.ram_double_multiple_access(simple)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => (others => '0'),
data_in_b => new_value_sigma_evaluated,
rw_a => '0',
rw_b => write_enable_new_value_sigma_evaluated,
clk => clk,
rst => rst,
dump => '0',
address_a => address_value_sigma_evaluated,
address_b => address_new_value_sigma_evaluated,
rst_value => (others => '0'),
data_out_a => value_sigma_evaluated,
data_out_b => open
);
test_mem_message : entity work.ram_double_multiple_access(simple)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => 1,
file_ram_word_size => 1,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => new_value_message,
data_in_b => (others => '0'),
rw_a => write_enable_new_value_message,
rw_b => '0',
clk => clk,
rst => rst,
dump => '0',
address_a => address_new_value_message,
address_b => true_address_new_value_message,
rst_value => (others => '0'),
data_out_a => open,
data_out_b => test_value_message
);
test_mem_error : entity work.ram_double_multiple_access(simple)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => 1,
file_ram_word_size => 1,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => new_value_error,
data_in_b => (others => '0'),
rw_a => write_enable_new_value_error,
rw_b => '0',
clk => clk,
rst => rst,
dump => '0',
address_a => address_new_value_error,
address_b => true_address_new_value_error,
rst_value => (others => '0'),
data_out_a => open,
data_out_b => test_value_error
);
true_mem_message : entity work.ram_multiple_access(file_load)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => 1,
file_ram_word_size => 1,
load_file_name => file_memory_message,
dump_file_name => ""
)
Port Map(
data_in => (others => '0'),
rw => '0',
clk => clk,
rst => rst,
dump => '0',
address => true_address_new_value_message,
rst_value => (others => '0'),
data_out => true_value_message
);
true_mem_error : entity work.ram_multiple_access(file_load)
Generic Map(
number_of_memories => number_of_syndrome_and_find_units,
ram_address_size => size_codeword,
ram_word_size => 1,
file_ram_word_size => 1,
load_file_name => file_memory_error,
dump_file_name => ""
)
Port Map(
data_in => (others => '0'),
rw => '0',
clk => clk,
rst => rst,
dump => '0',
address => true_address_new_value_error,
rst_value => (others => '0'),
data_out => true_value_error
);
mem_syndrome : entity work.ram_double(simple)
Generic Map(
ram_address_size => size_number_of_errors + 2,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => (others => '0'),
data_in_b => new_value_syndrome,
rw_a => '0',
rw_b => write_enable_new_value_syndrome,
clk => clk,
rst => rst,
dump => '0',
address_a => address_value_syndrome,
address_b => address_new_value_syndrome,
rst_value => (others => '0'),
data_out_a => value_syndrome,
data_out_b => open
);
mem_G : entity work.ram_double(simple)
Generic Map(
ram_address_size => size_number_of_errors + 2,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => (others => '0'),
data_in_b => new_value_G,
rw_a => '0',
rw_b => write_enable_new_value_G,
clk => clk,
rst => rst,
dump => '0',
address_a => address_value_G,
address_b => address_new_value_G,
rst_value => (others => '0'),
data_out_a => value_G,
data_out_b => open
);
mem_B : entity work.ram_double(simple)
Generic Map(
ram_address_size => size_number_of_errors + 2,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => (others => '0'),
data_in_b => new_value_B,
rw_a => '0',
rw_b => write_enable_new_value_B,
clk => clk,
rst => rst,
dump => '0',
address_a => address_value_B,
address_b => address_new_value_B,
rst_value => (others => '0'),
data_out_a => value_B,
data_out_b => open
);
mem_sigma : entity work.ram_double(simple)
Generic Map(
ram_address_size => size_number_of_errors + 2,
ram_word_size => gf_2_m,
file_ram_word_size => gf_2_m,
load_file_name => "",
dump_file_name => ""
)
Port Map(
data_in_a => (others => '0'),
data_in_b => new_value_sigma,
rw_a => '0',
rw_b => write_enable_new_value_sigma,
clk => clk,
rst => rst,
dump => '0',
address_a => address_value_sigma,
address_b => address_new_value_sigma,
rst_value => (others => '0'),
data_out_a => value_sigma,
data_out_b => open
);
clock : process
begin
while ( test_bench_finish /= '1') loop
clk <= not clk;
wait for PERIOD/2;
cycle_count <= cycle_count+1;
end loop;
wait;
end process;
--clk <= not clk after PERIOD/2;
process
variable i : integer;
variable syndrome_cycle_count : integer range 0 to 2000000000 := 0;
variable key_equation_cycle_count : integer range 0 to 2000000000 := 0;
variable correct_errors_cycle_count : integer range 0 to 2000000000 := 0;
begin
true_address_new_value_message <= (others => '0');
true_address_new_value_error <= (others => '0');
rst <= '1';
error_value_message <= '0';
error_value_error <= '0';
wait for PERIOD*2;
rst <= '0';
wait until syndrome_generation_finalized = '1';
syndrome_cycle_count := cycle_count - 2;
report "Circuit finish Syndrome = " & integer'image(syndrome_cycle_count/2) & " cycles";
wait until key_equation_finalized = '1';
key_equation_cycle_count := cycle_count - syndrome_cycle_count;
report "Circuit finish Key Equation = " & integer'image(key_equation_cycle_count/2) & " cycles";
wait until decryption_finalized = '1';
correct_errors_cycle_count := cycle_count - key_equation_cycle_count - syndrome_cycle_count;
report "Circuit finish Correct Errors = " & integer'image(correct_errors_cycle_count/2) & " cycles";
report "Circuit finish = " & integer'image(cycle_count/2) & " cycles";
wait for PERIOD;
i := 0;
while (i < (length_codeword)) loop
true_address_new_value_message(size_codeword - 1 downto 0) <= std_logic_vector(to_unsigned(i, size_codeword));
true_address_new_value_error(size_codeword - 1 downto 0) <= std_logic_vector(to_unsigned(i, size_codeword));
wait for PERIOD*2;
if (true_value_message(0) = test_value_message(0)) then
error_value_message <= '0';
else
error_value_message <= '1';
report "Computed values do not match expected ones";
end if;
if (true_value_error(0) = test_value_error(0)) then
error_value_error <= '0';
else
error_value_error <= '1';
report "Computed values do not match expected ones";
end if;
wait for PERIOD;
error_value_message <= '0';
error_value_error <= '0';
wait for PERIOD;
i := i + 1;
end loop;
wait for PERIOD;
test_bench_finish <= '1';
wait;
end process;
end Behavioral;
|
library verilog;
use verilog.vl_types.all;
entity arm_alu is
port(
alu_out : out vl_logic_vector(31 downto 0);
alu_cpsr : out vl_logic_vector(3 downto 0);
alu_op1 : in vl_logic_vector(31 downto 0);
alu_op2 : in vl_logic_vector(31 downto 0);
alu_sel : in vl_logic_vector(3 downto 0);
alu_cin : in vl_logic;
is_alu_for_mem_addr: in vl_logic;
up_down : in vl_logic;
potential_cout : in vl_logic
);
end arm_alu;
|
library verilog;
use verilog.vl_types.all;
entity arm_alu is
port(
alu_out : out vl_logic_vector(31 downto 0);
alu_cpsr : out vl_logic_vector(3 downto 0);
alu_op1 : in vl_logic_vector(31 downto 0);
alu_op2 : in vl_logic_vector(31 downto 0);
alu_sel : in vl_logic_vector(3 downto 0);
alu_cin : in vl_logic;
is_alu_for_mem_addr: in vl_logic;
up_down : in vl_logic;
potential_cout : in vl_logic
);
end arm_alu;
|
library verilog;
use verilog.vl_types.all;
entity arm_alu is
port(
alu_out : out vl_logic_vector(31 downto 0);
alu_cpsr : out vl_logic_vector(3 downto 0);
alu_op1 : in vl_logic_vector(31 downto 0);
alu_op2 : in vl_logic_vector(31 downto 0);
alu_sel : in vl_logic_vector(3 downto 0);
alu_cin : in vl_logic;
is_alu_for_mem_addr: in vl_logic;
up_down : in vl_logic;
potential_cout : in vl_logic
);
end arm_alu;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_12_fg_12_01.vhd,v 1.1.1.1 2001-08-22 18:20:48 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
-- code from book
entity control_unit is
generic ( Tpd_clk_out, Tpw_clk : delay_length;
debug : boolean := false );
port ( clk : in bit;
ready : in bit;
control1, control2 : out bit );
end entity control_unit;
-- end code from book
architecture test of control_unit is
begin
end architecture test;
entity fg_12_01 is
end entity fg_12_01;
architecture test of fg_12_01 is
signal clk, ready : bit;
begin
dut1 : entity work.control_unit
-- code from book (in text)
generic map ( 200 ps, 1500 ps, false )
-- end code from book
port map ( clk, ready, open, open );
dut2 : entity work.control_unit
-- code from book (in text)
generic map ( Tpd_clk_out => 200 ps, Tpw_clk => 1500 ps )
-- end code from book
port map ( clk, ready, open, open );
dut3 : entity work.control_unit
-- code from book (in text)
generic map ( 200 ps, 1500 ps, debug => open )
-- end code from book
port map ( clk, ready, open, open );
end architecture test;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_12_fg_12_01.vhd,v 1.1.1.1 2001-08-22 18:20:48 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
-- code from book
entity control_unit is
generic ( Tpd_clk_out, Tpw_clk : delay_length;
debug : boolean := false );
port ( clk : in bit;
ready : in bit;
control1, control2 : out bit );
end entity control_unit;
-- end code from book
architecture test of control_unit is
begin
end architecture test;
entity fg_12_01 is
end entity fg_12_01;
architecture test of fg_12_01 is
signal clk, ready : bit;
begin
dut1 : entity work.control_unit
-- code from book (in text)
generic map ( 200 ps, 1500 ps, false )
-- end code from book
port map ( clk, ready, open, open );
dut2 : entity work.control_unit
-- code from book (in text)
generic map ( Tpd_clk_out => 200 ps, Tpw_clk => 1500 ps )
-- end code from book
port map ( clk, ready, open, open );
dut3 : entity work.control_unit
-- code from book (in text)
generic map ( 200 ps, 1500 ps, debug => open )
-- end code from book
port map ( clk, ready, open, open );
end architecture test;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_12_fg_12_01.vhd,v 1.1.1.1 2001-08-22 18:20:48 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
-- code from book
entity control_unit is
generic ( Tpd_clk_out, Tpw_clk : delay_length;
debug : boolean := false );
port ( clk : in bit;
ready : in bit;
control1, control2 : out bit );
end entity control_unit;
-- end code from book
architecture test of control_unit is
begin
end architecture test;
entity fg_12_01 is
end entity fg_12_01;
architecture test of fg_12_01 is
signal clk, ready : bit;
begin
dut1 : entity work.control_unit
-- code from book (in text)
generic map ( 200 ps, 1500 ps, false )
-- end code from book
port map ( clk, ready, open, open );
dut2 : entity work.control_unit
-- code from book (in text)
generic map ( Tpd_clk_out => 200 ps, Tpw_clk => 1500 ps )
-- end code from book
port map ( clk, ready, open, open );
dut3 : entity work.control_unit
-- code from book (in text)
generic map ( 200 ps, 1500 ps, debug => open )
-- end code from book
port map ( clk, ready, open, open );
end architecture test;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
-------------------------------------------------------------------------
-- synthesis translate_off
library ims;
use ims.coprocessor.all;
-- synthesis translate_on
-------------------------------------------------------------------------
ENTITY Q16_8_IndexLUT is
PORT (
INPUT_1 : in STD_LOGIC_VECTOR(31 downto 0);
OUTPUT_1 : out STD_LOGIC_VECTOR(31 downto 0)
);
END;
architecture ROM of Q16_8_IndexLUT is
type rom_type is array (0 to 1824-1) of UNSIGNED (11 downto 0);
signal ROM : rom_type:= (
TO_UNSIGNED(75, 12), TO_UNSIGNED(618, 12),
TO_UNSIGNED(732, 12), TO_UNSIGNED(1425, 12),
TO_UNSIGNED(1500, 12), TO_UNSIGNED(1683, 12),
TO_UNSIGNED(84, 12), TO_UNSIGNED(621, 12),
TO_UNSIGNED(738, 12), TO_UNSIGNED(1428, 12),
TO_UNSIGNED(1506, 12), TO_UNSIGNED(1614, 12),
TO_UNSIGNED(86, 12), TO_UNSIGNED(624, 12),
TO_UNSIGNED(744, 12), TO_UNSIGNED(1437, 12),
TO_UNSIGNED(1488, 12), TO_UNSIGNED(1819, 12),
TO_UNSIGNED(12, 12), TO_UNSIGNED(88, 12),
TO_UNSIGNED(627, 12), TO_UNSIGNED(750, 12),
TO_UNSIGNED(1440, 12), TO_UNSIGNED(1512, 12),
TO_UNSIGNED(15, 12), TO_UNSIGNED(90, 12),
TO_UNSIGNED(630, 12), TO_UNSIGNED(756, 12),
TO_UNSIGNED(1443, 12), TO_UNSIGNED(1524, 12),
TO_UNSIGNED(18, 12), TO_UNSIGNED(92, 12),
TO_UNSIGNED(633, 12), TO_UNSIGNED(762, 12),
TO_UNSIGNED(1446, 12), TO_UNSIGNED(1518, 12),
TO_UNSIGNED(21, 12), TO_UNSIGNED(94, 12),
TO_UNSIGNED(636, 12), TO_UNSIGNED(768, 12),
TO_UNSIGNED(1449, 12), TO_UNSIGNED(1542, 12),
TO_UNSIGNED(24, 12), TO_UNSIGNED(96, 12),
TO_UNSIGNED(639, 12), TO_UNSIGNED(774, 12),
TO_UNSIGNED(1452, 12), TO_UNSIGNED(1548, 12),
TO_UNSIGNED(27, 12), TO_UNSIGNED(98, 12),
TO_UNSIGNED(642, 12), TO_UNSIGNED(780, 12),
TO_UNSIGNED(1455, 12), TO_UNSIGNED(1530, 12),
TO_UNSIGNED(30, 12), TO_UNSIGNED(100, 12),
TO_UNSIGNED(645, 12), TO_UNSIGNED(786, 12),
TO_UNSIGNED(1461, 12), TO_UNSIGNED(1536, 12),
TO_UNSIGNED(33, 12), TO_UNSIGNED(102, 12),
TO_UNSIGNED(648, 12), TO_UNSIGNED(792, 12),
TO_UNSIGNED(1458, 12), TO_UNSIGNED(1554, 12),
TO_UNSIGNED(36, 12), TO_UNSIGNED(104, 12),
TO_UNSIGNED(651, 12), TO_UNSIGNED(798, 12),
TO_UNSIGNED(1485, 12), TO_UNSIGNED(1560, 12),
TO_UNSIGNED(39, 12), TO_UNSIGNED(106, 12),
TO_UNSIGNED(654, 12), TO_UNSIGNED(804, 12),
TO_UNSIGNED(1572, 12), TO_UNSIGNED(1617, 12),
TO_UNSIGNED(42, 12), TO_UNSIGNED(108, 12),
TO_UNSIGNED(657, 12), TO_UNSIGNED(810, 12),
TO_UNSIGNED(1398, 12), TO_UNSIGNED(1566, 12),
TO_UNSIGNED(45, 12), TO_UNSIGNED(110, 12),
TO_UNSIGNED(660, 12), TO_UNSIGNED(816, 12),
TO_UNSIGNED(1401, 12), TO_UNSIGNED(1584, 12),
TO_UNSIGNED(48, 12), TO_UNSIGNED(112, 12),
TO_UNSIGNED(663, 12), TO_UNSIGNED(822, 12),
TO_UNSIGNED(1404, 12), TO_UNSIGNED(1578, 12),
TO_UNSIGNED(51, 12), TO_UNSIGNED(114, 12),
TO_UNSIGNED(666, 12), TO_UNSIGNED(828, 12),
TO_UNSIGNED(1413, 12), TO_UNSIGNED(1596, 12),
TO_UNSIGNED(54, 12), TO_UNSIGNED(116, 12),
TO_UNSIGNED(669, 12), TO_UNSIGNED(690, 12),
TO_UNSIGNED(1416, 12), TO_UNSIGNED(1602, 12),
TO_UNSIGNED(57, 12), TO_UNSIGNED(118, 12),
TO_UNSIGNED(672, 12), TO_UNSIGNED(696, 12),
TO_UNSIGNED(1419, 12), TO_UNSIGNED(1590, 12),
TO_UNSIGNED(0, 12), TO_UNSIGNED(60, 12),
TO_UNSIGNED(120, 12), TO_UNSIGNED(675, 12),
TO_UNSIGNED(702, 12), TO_UNSIGNED(1407, 12),
TO_UNSIGNED(63, 12), TO_UNSIGNED(122, 12),
TO_UNSIGNED(678, 12), TO_UNSIGNED(708, 12),
TO_UNSIGNED(1410, 12), TO_UNSIGNED(1476, 12),
TO_UNSIGNED(66, 12), TO_UNSIGNED(124, 12),
TO_UNSIGNED(681, 12), TO_UNSIGNED(714, 12),
TO_UNSIGNED(1434, 12), TO_UNSIGNED(1464, 12),
TO_UNSIGNED(69, 12), TO_UNSIGNED(126, 12),
TO_UNSIGNED(684, 12), TO_UNSIGNED(720, 12),
TO_UNSIGNED(1431, 12), TO_UNSIGNED(1470, 12),
TO_UNSIGNED(72, 12), TO_UNSIGNED(128, 12),
TO_UNSIGNED(687, 12), TO_UNSIGNED(726, 12),
TO_UNSIGNED(1422, 12), TO_UNSIGNED(1494, 12),
TO_UNSIGNED(186, 12), TO_UNSIGNED(234, 12),
TO_UNSIGNED(775, 12), TO_UNSIGNED(906, 12),
TO_UNSIGNED(1435, 12), TO_UNSIGNED(1585, 12),
TO_UNSIGNED(188, 12), TO_UNSIGNED(236, 12),
TO_UNSIGNED(781, 12), TO_UNSIGNED(909, 12),
TO_UNSIGNED(1432, 12), TO_UNSIGNED(1579, 12),
TO_UNSIGNED(190, 12), TO_UNSIGNED(238, 12),
TO_UNSIGNED(787, 12), TO_UNSIGNED(912, 12),
TO_UNSIGNED(1423, 12), TO_UNSIGNED(1597, 12),
TO_UNSIGNED(192, 12), TO_UNSIGNED(240, 12),
TO_UNSIGNED(793, 12), TO_UNSIGNED(915, 12),
TO_UNSIGNED(1426, 12), TO_UNSIGNED(1603, 12),
TO_UNSIGNED(194, 12), TO_UNSIGNED(242, 12),
TO_UNSIGNED(799, 12), TO_UNSIGNED(918, 12),
TO_UNSIGNED(1429, 12), TO_UNSIGNED(1591, 12),
TO_UNSIGNED(1, 12), TO_UNSIGNED(196, 12),
TO_UNSIGNED(244, 12), TO_UNSIGNED(805, 12),
TO_UNSIGNED(921, 12), TO_UNSIGNED(1438, 12),
TO_UNSIGNED(198, 12), TO_UNSIGNED(246, 12),
TO_UNSIGNED(811, 12), TO_UNSIGNED(924, 12),
TO_UNSIGNED(1441, 12), TO_UNSIGNED(1477, 12),
TO_UNSIGNED(200, 12), TO_UNSIGNED(248, 12),
TO_UNSIGNED(817, 12), TO_UNSIGNED(927, 12),
TO_UNSIGNED(1444, 12), TO_UNSIGNED(1465, 12),
TO_UNSIGNED(202, 12), TO_UNSIGNED(250, 12),
TO_UNSIGNED(823, 12), TO_UNSIGNED(930, 12),
TO_UNSIGNED(1447, 12), TO_UNSIGNED(1471, 12),
TO_UNSIGNED(204, 12), TO_UNSIGNED(252, 12),
TO_UNSIGNED(829, 12), TO_UNSIGNED(933, 12),
TO_UNSIGNED(1450, 12), TO_UNSIGNED(1495, 12),
TO_UNSIGNED(206, 12), TO_UNSIGNED(254, 12),
TO_UNSIGNED(691, 12), TO_UNSIGNED(936, 12),
TO_UNSIGNED(1453, 12), TO_UNSIGNED(1501, 12),
TO_UNSIGNED(208, 12), TO_UNSIGNED(256, 12),
TO_UNSIGNED(697, 12), TO_UNSIGNED(939, 12),
TO_UNSIGNED(1456, 12), TO_UNSIGNED(1507, 12),
TO_UNSIGNED(210, 12), TO_UNSIGNED(258, 12),
TO_UNSIGNED(703, 12), TO_UNSIGNED(942, 12),
TO_UNSIGNED(1462, 12), TO_UNSIGNED(1489, 12),
TO_UNSIGNED(212, 12), TO_UNSIGNED(260, 12),
TO_UNSIGNED(709, 12), TO_UNSIGNED(945, 12),
TO_UNSIGNED(1459, 12), TO_UNSIGNED(1513, 12),
TO_UNSIGNED(214, 12), TO_UNSIGNED(262, 12),
TO_UNSIGNED(715, 12), TO_UNSIGNED(948, 12),
TO_UNSIGNED(1486, 12), TO_UNSIGNED(1525, 12),
TO_UNSIGNED(216, 12), TO_UNSIGNED(264, 12),
TO_UNSIGNED(721, 12), TO_UNSIGNED(951, 12),
TO_UNSIGNED(1519, 12), TO_UNSIGNED(1618, 12),
TO_UNSIGNED(218, 12), TO_UNSIGNED(266, 12),
TO_UNSIGNED(727, 12), TO_UNSIGNED(954, 12),
TO_UNSIGNED(1399, 12), TO_UNSIGNED(1543, 12),
TO_UNSIGNED(220, 12), TO_UNSIGNED(268, 12),
TO_UNSIGNED(733, 12), TO_UNSIGNED(957, 12),
TO_UNSIGNED(1402, 12), TO_UNSIGNED(1549, 12),
TO_UNSIGNED(222, 12), TO_UNSIGNED(270, 12),
TO_UNSIGNED(739, 12), TO_UNSIGNED(960, 12),
TO_UNSIGNED(1405, 12), TO_UNSIGNED(1531, 12),
TO_UNSIGNED(224, 12), TO_UNSIGNED(272, 12),
TO_UNSIGNED(745, 12), TO_UNSIGNED(963, 12),
TO_UNSIGNED(1414, 12), TO_UNSIGNED(1537, 12),
TO_UNSIGNED(226, 12), TO_UNSIGNED(274, 12),
TO_UNSIGNED(751, 12), TO_UNSIGNED(966, 12),
TO_UNSIGNED(1417, 12), TO_UNSIGNED(1555, 12),
TO_UNSIGNED(228, 12), TO_UNSIGNED(276, 12),
TO_UNSIGNED(757, 12), TO_UNSIGNED(969, 12),
TO_UNSIGNED(1420, 12), TO_UNSIGNED(1561, 12),
TO_UNSIGNED(230, 12), TO_UNSIGNED(278, 12),
TO_UNSIGNED(763, 12), TO_UNSIGNED(972, 12),
TO_UNSIGNED(1408, 12), TO_UNSIGNED(1573, 12),
TO_UNSIGNED(232, 12), TO_UNSIGNED(280, 12),
TO_UNSIGNED(769, 12), TO_UNSIGNED(975, 12),
TO_UNSIGNED(1411, 12), TO_UNSIGNED(1567, 12),
TO_UNSIGNED(235, 12), TO_UNSIGNED(282, 12),
TO_UNSIGNED(788, 12), TO_UNSIGNED(1206, 12),
TO_UNSIGNED(1556, 12), TO_UNSIGNED(1635, 12),
TO_UNSIGNED(237, 12), TO_UNSIGNED(284, 12),
TO_UNSIGNED(794, 12), TO_UNSIGNED(1209, 12),
TO_UNSIGNED(1562, 12), TO_UNSIGNED(1629, 12),
TO_UNSIGNED(239, 12), TO_UNSIGNED(286, 12),
TO_UNSIGNED(800, 12), TO_UNSIGNED(1194, 12),
TO_UNSIGNED(1574, 12), TO_UNSIGNED(1632, 12),
TO_UNSIGNED(241, 12), TO_UNSIGNED(288, 12),
TO_UNSIGNED(806, 12), TO_UNSIGNED(1215, 12),
TO_UNSIGNED(1568, 12), TO_UNSIGNED(1641, 12),
TO_UNSIGNED(243, 12), TO_UNSIGNED(290, 12),
TO_UNSIGNED(812, 12), TO_UNSIGNED(1212, 12),
TO_UNSIGNED(1586, 12), TO_UNSIGNED(1638, 12),
TO_UNSIGNED(245, 12), TO_UNSIGNED(292, 12),
TO_UNSIGNED(818, 12), TO_UNSIGNED(1221, 12),
TO_UNSIGNED(1580, 12), TO_UNSIGNED(1644, 12),
TO_UNSIGNED(247, 12), TO_UNSIGNED(294, 12),
TO_UNSIGNED(824, 12), TO_UNSIGNED(1224, 12),
TO_UNSIGNED(1598, 12), TO_UNSIGNED(1650, 12),
TO_UNSIGNED(249, 12), TO_UNSIGNED(296, 12),
TO_UNSIGNED(830, 12), TO_UNSIGNED(1227, 12),
TO_UNSIGNED(1604, 12), TO_UNSIGNED(1647, 12),
TO_UNSIGNED(251, 12), TO_UNSIGNED(298, 12),
TO_UNSIGNED(692, 12), TO_UNSIGNED(1218, 12),
TO_UNSIGNED(1592, 12), TO_UNSIGNED(1653, 12),
TO_UNSIGNED(2, 12), TO_UNSIGNED(253, 12),
TO_UNSIGNED(300, 12), TO_UNSIGNED(698, 12),
TO_UNSIGNED(1233, 12), TO_UNSIGNED(1656, 12),
TO_UNSIGNED(255, 12), TO_UNSIGNED(302, 12),
TO_UNSIGNED(704, 12), TO_UNSIGNED(1236, 12),
TO_UNSIGNED(1478, 12), TO_UNSIGNED(1659, 12),
TO_UNSIGNED(257, 12), TO_UNSIGNED(304, 12),
TO_UNSIGNED(710, 12), TO_UNSIGNED(1239, 12),
TO_UNSIGNED(1466, 12), TO_UNSIGNED(1662, 12),
TO_UNSIGNED(259, 12), TO_UNSIGNED(306, 12),
TO_UNSIGNED(716, 12), TO_UNSIGNED(1230, 12),
TO_UNSIGNED(1472, 12), TO_UNSIGNED(1665, 12),
TO_UNSIGNED(261, 12), TO_UNSIGNED(308, 12),
TO_UNSIGNED(722, 12), TO_UNSIGNED(1251, 12),
TO_UNSIGNED(1496, 12), TO_UNSIGNED(1671, 12),
TO_UNSIGNED(263, 12), TO_UNSIGNED(310, 12),
TO_UNSIGNED(728, 12), TO_UNSIGNED(1242, 12),
TO_UNSIGNED(1502, 12), TO_UNSIGNED(1668, 12),
TO_UNSIGNED(265, 12), TO_UNSIGNED(312, 12),
TO_UNSIGNED(734, 12), TO_UNSIGNED(1245, 12),
TO_UNSIGNED(1508, 12), TO_UNSIGNED(1674, 12),
TO_UNSIGNED(267, 12), TO_UNSIGNED(314, 12),
TO_UNSIGNED(740, 12), TO_UNSIGNED(1248, 12),
TO_UNSIGNED(1490, 12), TO_UNSIGNED(1677, 12),
TO_UNSIGNED(269, 12), TO_UNSIGNED(316, 12),
TO_UNSIGNED(746, 12), TO_UNSIGNED(1257, 12),
TO_UNSIGNED(1514, 12), TO_UNSIGNED(1680, 12),
TO_UNSIGNED(271, 12), TO_UNSIGNED(318, 12),
TO_UNSIGNED(752, 12), TO_UNSIGNED(1254, 12),
TO_UNSIGNED(1482, 12), TO_UNSIGNED(1526, 12),
TO_UNSIGNED(273, 12), TO_UNSIGNED(320, 12),
TO_UNSIGNED(758, 12), TO_UNSIGNED(1263, 12),
TO_UNSIGNED(1520, 12), TO_UNSIGNED(1608, 12),
TO_UNSIGNED(275, 12), TO_UNSIGNED(322, 12),
TO_UNSIGNED(764, 12), TO_UNSIGNED(1260, 12),
TO_UNSIGNED(1544, 12), TO_UNSIGNED(1611, 12),
TO_UNSIGNED(277, 12), TO_UNSIGNED(324, 12),
TO_UNSIGNED(770, 12), TO_UNSIGNED(1197, 12),
TO_UNSIGNED(1550, 12), TO_UNSIGNED(1620, 12),
TO_UNSIGNED(279, 12), TO_UNSIGNED(326, 12),
TO_UNSIGNED(776, 12), TO_UNSIGNED(1200, 12),
TO_UNSIGNED(1532, 12), TO_UNSIGNED(1623, 12),
TO_UNSIGNED(281, 12), TO_UNSIGNED(328, 12),
TO_UNSIGNED(782, 12), TO_UNSIGNED(1203, 12),
TO_UNSIGNED(1538, 12), TO_UNSIGNED(1626, 12),
TO_UNSIGNED(330, 12), TO_UNSIGNED(378, 12),
TO_UNSIGNED(705, 12), TO_UNSIGNED(885, 12),
TO_UNSIGNED(1605, 12), TO_UNSIGNED(1669, 12),
TO_UNSIGNED(332, 12), TO_UNSIGNED(380, 12),
TO_UNSIGNED(711, 12), TO_UNSIGNED(888, 12),
TO_UNSIGNED(1593, 12), TO_UNSIGNED(1675, 12),
TO_UNSIGNED(3, 12), TO_UNSIGNED(334, 12),
TO_UNSIGNED(382, 12), TO_UNSIGNED(717, 12),
TO_UNSIGNED(891, 12), TO_UNSIGNED(1678, 12),
TO_UNSIGNED(336, 12), TO_UNSIGNED(384, 12),
TO_UNSIGNED(723, 12), TO_UNSIGNED(894, 12),
TO_UNSIGNED(1479, 12), TO_UNSIGNED(1681, 12),
TO_UNSIGNED(338, 12), TO_UNSIGNED(386, 12),
TO_UNSIGNED(729, 12), TO_UNSIGNED(897, 12),
TO_UNSIGNED(1467, 12), TO_UNSIGNED(1483, 12),
TO_UNSIGNED(340, 12), TO_UNSIGNED(388, 12),
TO_UNSIGNED(735, 12), TO_UNSIGNED(900, 12),
TO_UNSIGNED(1473, 12), TO_UNSIGNED(1609, 12),
TO_UNSIGNED(342, 12), TO_UNSIGNED(390, 12),
TO_UNSIGNED(741, 12), TO_UNSIGNED(903, 12),
TO_UNSIGNED(1497, 12), TO_UNSIGNED(1612, 12),
TO_UNSIGNED(344, 12), TO_UNSIGNED(392, 12),
TO_UNSIGNED(747, 12), TO_UNSIGNED(834, 12),
TO_UNSIGNED(1503, 12), TO_UNSIGNED(1621, 12),
TO_UNSIGNED(346, 12), TO_UNSIGNED(394, 12),
TO_UNSIGNED(753, 12), TO_UNSIGNED(837, 12),
TO_UNSIGNED(1509, 12), TO_UNSIGNED(1624, 12),
TO_UNSIGNED(348, 12), TO_UNSIGNED(396, 12),
TO_UNSIGNED(759, 12), TO_UNSIGNED(840, 12),
TO_UNSIGNED(1491, 12), TO_UNSIGNED(1627, 12),
TO_UNSIGNED(350, 12), TO_UNSIGNED(398, 12),
TO_UNSIGNED(765, 12), TO_UNSIGNED(843, 12),
TO_UNSIGNED(1515, 12), TO_UNSIGNED(1636, 12),
TO_UNSIGNED(352, 12), TO_UNSIGNED(400, 12),
TO_UNSIGNED(771, 12), TO_UNSIGNED(846, 12),
TO_UNSIGNED(1527, 12), TO_UNSIGNED(1630, 12),
TO_UNSIGNED(354, 12), TO_UNSIGNED(402, 12),
TO_UNSIGNED(777, 12), TO_UNSIGNED(849, 12),
TO_UNSIGNED(1521, 12), TO_UNSIGNED(1633, 12),
TO_UNSIGNED(356, 12), TO_UNSIGNED(404, 12),
TO_UNSIGNED(783, 12), TO_UNSIGNED(852, 12),
TO_UNSIGNED(1545, 12), TO_UNSIGNED(1642, 12),
TO_UNSIGNED(358, 12), TO_UNSIGNED(406, 12),
TO_UNSIGNED(789, 12), TO_UNSIGNED(855, 12),
TO_UNSIGNED(1551, 12), TO_UNSIGNED(1639, 12),
TO_UNSIGNED(360, 12), TO_UNSIGNED(408, 12),
TO_UNSIGNED(795, 12), TO_UNSIGNED(858, 12),
TO_UNSIGNED(1533, 12), TO_UNSIGNED(1645, 12),
TO_UNSIGNED(362, 12), TO_UNSIGNED(410, 12),
TO_UNSIGNED(801, 12), TO_UNSIGNED(861, 12),
TO_UNSIGNED(1539, 12), TO_UNSIGNED(1651, 12),
TO_UNSIGNED(364, 12), TO_UNSIGNED(412, 12),
TO_UNSIGNED(807, 12), TO_UNSIGNED(864, 12),
TO_UNSIGNED(1557, 12), TO_UNSIGNED(1648, 12),
TO_UNSIGNED(366, 12), TO_UNSIGNED(414, 12),
TO_UNSIGNED(813, 12), TO_UNSIGNED(867, 12),
TO_UNSIGNED(1563, 12), TO_UNSIGNED(1654, 12),
TO_UNSIGNED(368, 12), TO_UNSIGNED(416, 12),
TO_UNSIGNED(819, 12), TO_UNSIGNED(870, 12),
TO_UNSIGNED(1575, 12), TO_UNSIGNED(1657, 12),
TO_UNSIGNED(370, 12), TO_UNSIGNED(418, 12),
TO_UNSIGNED(825, 12), TO_UNSIGNED(873, 12),
TO_UNSIGNED(1569, 12), TO_UNSIGNED(1660, 12),
TO_UNSIGNED(372, 12), TO_UNSIGNED(420, 12),
TO_UNSIGNED(831, 12), TO_UNSIGNED(876, 12),
TO_UNSIGNED(1587, 12), TO_UNSIGNED(1663, 12),
TO_UNSIGNED(374, 12), TO_UNSIGNED(422, 12),
TO_UNSIGNED(693, 12), TO_UNSIGNED(879, 12),
TO_UNSIGNED(1581, 12), TO_UNSIGNED(1666, 12),
TO_UNSIGNED(376, 12), TO_UNSIGNED(424, 12),
TO_UNSIGNED(699, 12), TO_UNSIGNED(882, 12),
TO_UNSIGNED(1599, 12), TO_UNSIGNED(1672, 12),
TO_UNSIGNED(379, 12), TO_UNSIGNED(426, 12),
TO_UNSIGNED(682, 12), TO_UNSIGNED(736, 12),
TO_UNSIGNED(1198, 12), TO_UNSIGNED(1540, 12),
TO_UNSIGNED(381, 12), TO_UNSIGNED(428, 12),
TO_UNSIGNED(685, 12), TO_UNSIGNED(742, 12),
TO_UNSIGNED(1201, 12), TO_UNSIGNED(1558, 12),
TO_UNSIGNED(383, 12), TO_UNSIGNED(430, 12),
TO_UNSIGNED(688, 12), TO_UNSIGNED(748, 12),
TO_UNSIGNED(1204, 12), TO_UNSIGNED(1564, 12),
TO_UNSIGNED(385, 12), TO_UNSIGNED(432, 12),
TO_UNSIGNED(619, 12), TO_UNSIGNED(754, 12),
TO_UNSIGNED(1207, 12), TO_UNSIGNED(1576, 12),
TO_UNSIGNED(387, 12), TO_UNSIGNED(434, 12),
TO_UNSIGNED(622, 12), TO_UNSIGNED(760, 12),
TO_UNSIGNED(1210, 12), TO_UNSIGNED(1570, 12),
TO_UNSIGNED(389, 12), TO_UNSIGNED(436, 12),
TO_UNSIGNED(625, 12), TO_UNSIGNED(766, 12),
TO_UNSIGNED(1195, 12), TO_UNSIGNED(1588, 12),
TO_UNSIGNED(391, 12), TO_UNSIGNED(438, 12),
TO_UNSIGNED(628, 12), TO_UNSIGNED(772, 12),
TO_UNSIGNED(1216, 12), TO_UNSIGNED(1582, 12),
TO_UNSIGNED(393, 12), TO_UNSIGNED(440, 12),
TO_UNSIGNED(631, 12), TO_UNSIGNED(778, 12),
TO_UNSIGNED(1213, 12), TO_UNSIGNED(1600, 12),
TO_UNSIGNED(395, 12), TO_UNSIGNED(442, 12),
TO_UNSIGNED(634, 12), TO_UNSIGNED(784, 12),
TO_UNSIGNED(1222, 12), TO_UNSIGNED(1606, 12),
TO_UNSIGNED(397, 12), TO_UNSIGNED(444, 12),
TO_UNSIGNED(637, 12), TO_UNSIGNED(790, 12),
TO_UNSIGNED(1225, 12), TO_UNSIGNED(1594, 12),
TO_UNSIGNED(4, 12), TO_UNSIGNED(399, 12),
TO_UNSIGNED(446, 12), TO_UNSIGNED(640, 12),
TO_UNSIGNED(796, 12), TO_UNSIGNED(1228, 12),
TO_UNSIGNED(401, 12), TO_UNSIGNED(448, 12),
TO_UNSIGNED(643, 12), TO_UNSIGNED(802, 12),
TO_UNSIGNED(1219, 12), TO_UNSIGNED(1480, 12),
TO_UNSIGNED(403, 12), TO_UNSIGNED(450, 12),
TO_UNSIGNED(646, 12), TO_UNSIGNED(808, 12),
TO_UNSIGNED(1234, 12), TO_UNSIGNED(1468, 12),
TO_UNSIGNED(405, 12), TO_UNSIGNED(452, 12),
TO_UNSIGNED(649, 12), TO_UNSIGNED(814, 12),
TO_UNSIGNED(1237, 12), TO_UNSIGNED(1474, 12),
TO_UNSIGNED(407, 12), TO_UNSIGNED(454, 12),
TO_UNSIGNED(652, 12), TO_UNSIGNED(820, 12),
TO_UNSIGNED(1240, 12), TO_UNSIGNED(1498, 12),
TO_UNSIGNED(409, 12), TO_UNSIGNED(456, 12),
TO_UNSIGNED(655, 12), TO_UNSIGNED(826, 12),
TO_UNSIGNED(1231, 12), TO_UNSIGNED(1504, 12),
TO_UNSIGNED(411, 12), TO_UNSIGNED(458, 12),
TO_UNSIGNED(658, 12), TO_UNSIGNED(832, 12),
TO_UNSIGNED(1252, 12), TO_UNSIGNED(1510, 12),
TO_UNSIGNED(413, 12), TO_UNSIGNED(460, 12),
TO_UNSIGNED(661, 12), TO_UNSIGNED(694, 12),
TO_UNSIGNED(1243, 12), TO_UNSIGNED(1492, 12),
TO_UNSIGNED(415, 12), TO_UNSIGNED(462, 12),
TO_UNSIGNED(664, 12), TO_UNSIGNED(700, 12),
TO_UNSIGNED(1246, 12), TO_UNSIGNED(1516, 12),
TO_UNSIGNED(417, 12), TO_UNSIGNED(464, 12),
TO_UNSIGNED(667, 12), TO_UNSIGNED(706, 12),
TO_UNSIGNED(1249, 12), TO_UNSIGNED(1528, 12),
TO_UNSIGNED(419, 12), TO_UNSIGNED(466, 12),
TO_UNSIGNED(670, 12), TO_UNSIGNED(712, 12),
TO_UNSIGNED(1258, 12), TO_UNSIGNED(1522, 12),
TO_UNSIGNED(421, 12), TO_UNSIGNED(468, 12),
TO_UNSIGNED(673, 12), TO_UNSIGNED(718, 12),
TO_UNSIGNED(1255, 12), TO_UNSIGNED(1546, 12),
TO_UNSIGNED(423, 12), TO_UNSIGNED(470, 12),
TO_UNSIGNED(676, 12), TO_UNSIGNED(724, 12),
TO_UNSIGNED(1264, 12), TO_UNSIGNED(1552, 12),
TO_UNSIGNED(425, 12), TO_UNSIGNED(472, 12),
TO_UNSIGNED(679, 12), TO_UNSIGNED(730, 12),
TO_UNSIGNED(1261, 12), TO_UNSIGNED(1534, 12),
TO_UNSIGNED(474, 12), TO_UNSIGNED(522, 12),
TO_UNSIGNED(1062, 12), TO_UNSIGNED(1332, 12),
TO_UNSIGNED(1631, 12), TO_UNSIGNED(1729, 12),
TO_UNSIGNED(476, 12), TO_UNSIGNED(524, 12),
TO_UNSIGNED(1068, 12), TO_UNSIGNED(1326, 12),
TO_UNSIGNED(1634, 12), TO_UNSIGNED(1723, 12),
TO_UNSIGNED(478, 12), TO_UNSIGNED(526, 12),
TO_UNSIGNED(1074, 12), TO_UNSIGNED(1350, 12),
TO_UNSIGNED(1643, 12), TO_UNSIGNED(1735, 12),
TO_UNSIGNED(480, 12), TO_UNSIGNED(528, 12),
TO_UNSIGNED(1080, 12), TO_UNSIGNED(1356, 12),
TO_UNSIGNED(1640, 12), TO_UNSIGNED(1771, 12),
TO_UNSIGNED(482, 12), TO_UNSIGNED(530, 12),
TO_UNSIGNED(1086, 12), TO_UNSIGNED(1338, 12),
TO_UNSIGNED(1646, 12), TO_UNSIGNED(1777, 12),
TO_UNSIGNED(484, 12), TO_UNSIGNED(532, 12),
TO_UNSIGNED(1092, 12), TO_UNSIGNED(1344, 12),
TO_UNSIGNED(1652, 12), TO_UNSIGNED(1741, 12),
TO_UNSIGNED(486, 12), TO_UNSIGNED(534, 12),
TO_UNSIGNED(1098, 12), TO_UNSIGNED(1368, 12),
TO_UNSIGNED(1649, 12), TO_UNSIGNED(1747, 12),
TO_UNSIGNED(488, 12), TO_UNSIGNED(536, 12),
TO_UNSIGNED(1104, 12), TO_UNSIGNED(1374, 12),
TO_UNSIGNED(1655, 12), TO_UNSIGNED(1753, 12),
TO_UNSIGNED(490, 12), TO_UNSIGNED(538, 12),
TO_UNSIGNED(1110, 12), TO_UNSIGNED(1362, 12),
TO_UNSIGNED(1658, 12), TO_UNSIGNED(1759, 12),
TO_UNSIGNED(492, 12), TO_UNSIGNED(540, 12),
TO_UNSIGNED(1116, 12), TO_UNSIGNED(1392, 12),
TO_UNSIGNED(1661, 12), TO_UNSIGNED(1765, 12),
TO_UNSIGNED(494, 12), TO_UNSIGNED(542, 12),
TO_UNSIGNED(978, 12), TO_UNSIGNED(1380, 12),
TO_UNSIGNED(1664, 12), TO_UNSIGNED(1801, 12),
TO_UNSIGNED(496, 12), TO_UNSIGNED(544, 12),
TO_UNSIGNED(984, 12), TO_UNSIGNED(1386, 12),
TO_UNSIGNED(1667, 12), TO_UNSIGNED(1789, 12),
TO_UNSIGNED(130, 12), TO_UNSIGNED(498, 12),
TO_UNSIGNED(546, 12), TO_UNSIGNED(990, 12),
TO_UNSIGNED(1673, 12), TO_UNSIGNED(1795, 12),
TO_UNSIGNED(78, 12), TO_UNSIGNED(500, 12),
TO_UNSIGNED(548, 12), TO_UNSIGNED(996, 12),
TO_UNSIGNED(1670, 12), TO_UNSIGNED(1807, 12),
TO_UNSIGNED(502, 12), TO_UNSIGNED(550, 12),
TO_UNSIGNED(1002, 12), TO_UNSIGNED(1272, 12),
TO_UNSIGNED(1676, 12), TO_UNSIGNED(1783, 12),
TO_UNSIGNED(6, 12), TO_UNSIGNED(504, 12),
TO_UNSIGNED(552, 12), TO_UNSIGNED(1008, 12),
TO_UNSIGNED(1278, 12), TO_UNSIGNED(1679, 12),
TO_UNSIGNED(506, 12), TO_UNSIGNED(554, 12),
TO_UNSIGNED(1014, 12), TO_UNSIGNED(1284, 12),
TO_UNSIGNED(1682, 12), TO_UNSIGNED(1813, 12),
TO_UNSIGNED(136, 12), TO_UNSIGNED(508, 12),
TO_UNSIGNED(556, 12), TO_UNSIGNED(1020, 12),
TO_UNSIGNED(1266, 12), TO_UNSIGNED(1484, 12),
TO_UNSIGNED(510, 12), TO_UNSIGNED(558, 12),
TO_UNSIGNED(1026, 12), TO_UNSIGNED(1296, 12),
TO_UNSIGNED(1610, 12), TO_UNSIGNED(1687, 12),
TO_UNSIGNED(512, 12), TO_UNSIGNED(560, 12),
TO_UNSIGNED(1032, 12), TO_UNSIGNED(1290, 12),
TO_UNSIGNED(1613, 12), TO_UNSIGNED(1711, 12),
TO_UNSIGNED(514, 12), TO_UNSIGNED(562, 12),
TO_UNSIGNED(1038, 12), TO_UNSIGNED(1308, 12),
TO_UNSIGNED(1622, 12), TO_UNSIGNED(1699, 12),
TO_UNSIGNED(516, 12), TO_UNSIGNED(564, 12),
TO_UNSIGNED(1044, 12), TO_UNSIGNED(1302, 12),
TO_UNSIGNED(1625, 12), TO_UNSIGNED(1705, 12),
TO_UNSIGNED(518, 12), TO_UNSIGNED(566, 12),
TO_UNSIGNED(1050, 12), TO_UNSIGNED(1314, 12),
TO_UNSIGNED(1628, 12), TO_UNSIGNED(1693, 12),
TO_UNSIGNED(520, 12), TO_UNSIGNED(568, 12),
TO_UNSIGNED(1056, 12), TO_UNSIGNED(1320, 12),
TO_UNSIGNED(1637, 12), TO_UNSIGNED(1717, 12),
TO_UNSIGNED(523, 12), TO_UNSIGNED(570, 12),
TO_UNSIGNED(695, 12), TO_UNSIGNED(877, 12),
TO_UNSIGNED(1445, 12), TO_UNSIGNED(1535, 12),
TO_UNSIGNED(525, 12), TO_UNSIGNED(572, 12),
TO_UNSIGNED(701, 12), TO_UNSIGNED(880, 12),
TO_UNSIGNED(1448, 12), TO_UNSIGNED(1541, 12),
TO_UNSIGNED(527, 12), TO_UNSIGNED(574, 12),
TO_UNSIGNED(707, 12), TO_UNSIGNED(883, 12),
TO_UNSIGNED(1451, 12), TO_UNSIGNED(1559, 12),
TO_UNSIGNED(529, 12), TO_UNSIGNED(576, 12),
TO_UNSIGNED(713, 12), TO_UNSIGNED(886, 12),
TO_UNSIGNED(1454, 12), TO_UNSIGNED(1565, 12),
TO_UNSIGNED(531, 12), TO_UNSIGNED(578, 12),
TO_UNSIGNED(719, 12), TO_UNSIGNED(889, 12),
TO_UNSIGNED(1457, 12), TO_UNSIGNED(1577, 12),
TO_UNSIGNED(533, 12), TO_UNSIGNED(580, 12),
TO_UNSIGNED(725, 12), TO_UNSIGNED(892, 12),
TO_UNSIGNED(1463, 12), TO_UNSIGNED(1571, 12),
TO_UNSIGNED(535, 12), TO_UNSIGNED(582, 12),
TO_UNSIGNED(731, 12), TO_UNSIGNED(895, 12),
TO_UNSIGNED(1460, 12), TO_UNSIGNED(1589, 12),
TO_UNSIGNED(537, 12), TO_UNSIGNED(584, 12),
TO_UNSIGNED(737, 12), TO_UNSIGNED(898, 12),
TO_UNSIGNED(1487, 12), TO_UNSIGNED(1583, 12),
TO_UNSIGNED(539, 12), TO_UNSIGNED(586, 12),
TO_UNSIGNED(743, 12), TO_UNSIGNED(901, 12),
TO_UNSIGNED(1601, 12), TO_UNSIGNED(1619, 12),
TO_UNSIGNED(541, 12), TO_UNSIGNED(588, 12),
TO_UNSIGNED(749, 12), TO_UNSIGNED(904, 12),
TO_UNSIGNED(1400, 12), TO_UNSIGNED(1607, 12),
TO_UNSIGNED(543, 12), TO_UNSIGNED(590, 12),
TO_UNSIGNED(755, 12), TO_UNSIGNED(835, 12),
TO_UNSIGNED(1403, 12), TO_UNSIGNED(1595, 12),
TO_UNSIGNED(5, 12), TO_UNSIGNED(545, 12),
TO_UNSIGNED(592, 12), TO_UNSIGNED(761, 12),
TO_UNSIGNED(838, 12), TO_UNSIGNED(1406, 12),
TO_UNSIGNED(547, 12), TO_UNSIGNED(594, 12),
TO_UNSIGNED(767, 12), TO_UNSIGNED(841, 12),
TO_UNSIGNED(1415, 12), TO_UNSIGNED(1481, 12),
TO_UNSIGNED(549, 12), TO_UNSIGNED(596, 12),
TO_UNSIGNED(773, 12), TO_UNSIGNED(844, 12),
TO_UNSIGNED(1418, 12), TO_UNSIGNED(1469, 12),
TO_UNSIGNED(551, 12), TO_UNSIGNED(598, 12),
TO_UNSIGNED(779, 12), TO_UNSIGNED(847, 12),
TO_UNSIGNED(1421, 12), TO_UNSIGNED(1475, 12),
TO_UNSIGNED(553, 12), TO_UNSIGNED(600, 12),
TO_UNSIGNED(785, 12), TO_UNSIGNED(850, 12),
TO_UNSIGNED(1409, 12), TO_UNSIGNED(1499, 12),
TO_UNSIGNED(555, 12), TO_UNSIGNED(602, 12),
TO_UNSIGNED(791, 12), TO_UNSIGNED(853, 12),
TO_UNSIGNED(1412, 12), TO_UNSIGNED(1505, 12),
TO_UNSIGNED(557, 12), TO_UNSIGNED(604, 12),
TO_UNSIGNED(797, 12), TO_UNSIGNED(856, 12),
TO_UNSIGNED(1436, 12), TO_UNSIGNED(1511, 12),
TO_UNSIGNED(559, 12), TO_UNSIGNED(606, 12),
TO_UNSIGNED(803, 12), TO_UNSIGNED(859, 12),
TO_UNSIGNED(1433, 12), TO_UNSIGNED(1493, 12),
TO_UNSIGNED(561, 12), TO_UNSIGNED(608, 12),
TO_UNSIGNED(809, 12), TO_UNSIGNED(862, 12),
TO_UNSIGNED(1424, 12), TO_UNSIGNED(1517, 12),
TO_UNSIGNED(563, 12), TO_UNSIGNED(610, 12),
TO_UNSIGNED(815, 12), TO_UNSIGNED(865, 12),
TO_UNSIGNED(1427, 12), TO_UNSIGNED(1529, 12),
TO_UNSIGNED(565, 12), TO_UNSIGNED(612, 12),
TO_UNSIGNED(821, 12), TO_UNSIGNED(868, 12),
TO_UNSIGNED(1430, 12), TO_UNSIGNED(1523, 12),
TO_UNSIGNED(567, 12), TO_UNSIGNED(614, 12),
TO_UNSIGNED(827, 12), TO_UNSIGNED(871, 12),
TO_UNSIGNED(1439, 12), TO_UNSIGNED(1547, 12),
TO_UNSIGNED(569, 12), TO_UNSIGNED(616, 12),
TO_UNSIGNED(833, 12), TO_UNSIGNED(874, 12),
TO_UNSIGNED(1442, 12), TO_UNSIGNED(1553, 12),
TO_UNSIGNED(76, 12), TO_UNSIGNED(571, 12),
TO_UNSIGNED(922, 12), TO_UNSIGNED(1105, 12),
TO_UNSIGNED(1339, 12), TO_UNSIGNED(1796, 12),
TO_UNSIGNED(573, 12), TO_UNSIGNED(925, 12),
TO_UNSIGNED(1111, 12), TO_UNSIGNED(1345, 12),
TO_UNSIGNED(1615, 12), TO_UNSIGNED(1808, 12),
TO_UNSIGNED(575, 12), TO_UNSIGNED(928, 12),
TO_UNSIGNED(1117, 12), TO_UNSIGNED(1369, 12),
TO_UNSIGNED(1784, 12), TO_UNSIGNED(1820, 12),
TO_UNSIGNED(7, 12), TO_UNSIGNED(13, 12),
TO_UNSIGNED(577, 12), TO_UNSIGNED(931, 12),
TO_UNSIGNED(979, 12), TO_UNSIGNED(1375, 12),
TO_UNSIGNED(16, 12), TO_UNSIGNED(579, 12),
TO_UNSIGNED(934, 12), TO_UNSIGNED(985, 12),
TO_UNSIGNED(1363, 12), TO_UNSIGNED(1814, 12),
TO_UNSIGNED(19, 12), TO_UNSIGNED(137, 12),
TO_UNSIGNED(581, 12), TO_UNSIGNED(937, 12),
TO_UNSIGNED(991, 12), TO_UNSIGNED(1393, 12),
TO_UNSIGNED(22, 12), TO_UNSIGNED(583, 12),
TO_UNSIGNED(940, 12), TO_UNSIGNED(997, 12),
TO_UNSIGNED(1381, 12), TO_UNSIGNED(1688, 12),
TO_UNSIGNED(25, 12), TO_UNSIGNED(585, 12),
TO_UNSIGNED(943, 12), TO_UNSIGNED(1003, 12),
TO_UNSIGNED(1387, 12), TO_UNSIGNED(1712, 12),
TO_UNSIGNED(28, 12), TO_UNSIGNED(131, 12),
TO_UNSIGNED(587, 12), TO_UNSIGNED(946, 12),
TO_UNSIGNED(1009, 12), TO_UNSIGNED(1700, 12),
TO_UNSIGNED(31, 12), TO_UNSIGNED(79, 12),
TO_UNSIGNED(589, 12), TO_UNSIGNED(949, 12),
TO_UNSIGNED(1015, 12), TO_UNSIGNED(1706, 12),
TO_UNSIGNED(34, 12), TO_UNSIGNED(591, 12),
TO_UNSIGNED(952, 12), TO_UNSIGNED(1021, 12),
TO_UNSIGNED(1273, 12), TO_UNSIGNED(1694, 12),
TO_UNSIGNED(37, 12), TO_UNSIGNED(593, 12),
TO_UNSIGNED(955, 12), TO_UNSIGNED(1027, 12),
TO_UNSIGNED(1279, 12), TO_UNSIGNED(1718, 12),
TO_UNSIGNED(40, 12), TO_UNSIGNED(595, 12),
TO_UNSIGNED(958, 12), TO_UNSIGNED(1033, 12),
TO_UNSIGNED(1285, 12), TO_UNSIGNED(1730, 12),
TO_UNSIGNED(43, 12), TO_UNSIGNED(597, 12),
TO_UNSIGNED(961, 12), TO_UNSIGNED(1039, 12),
TO_UNSIGNED(1267, 12), TO_UNSIGNED(1724, 12),
TO_UNSIGNED(46, 12), TO_UNSIGNED(599, 12),
TO_UNSIGNED(964, 12), TO_UNSIGNED(1045, 12),
TO_UNSIGNED(1297, 12), TO_UNSIGNED(1736, 12),
TO_UNSIGNED(49, 12), TO_UNSIGNED(601, 12),
TO_UNSIGNED(967, 12), TO_UNSIGNED(1051, 12),
TO_UNSIGNED(1291, 12), TO_UNSIGNED(1772, 12),
TO_UNSIGNED(52, 12), TO_UNSIGNED(603, 12),
TO_UNSIGNED(970, 12), TO_UNSIGNED(1057, 12),
TO_UNSIGNED(1309, 12), TO_UNSIGNED(1778, 12),
TO_UNSIGNED(55, 12), TO_UNSIGNED(605, 12),
TO_UNSIGNED(973, 12), TO_UNSIGNED(1063, 12),
TO_UNSIGNED(1303, 12), TO_UNSIGNED(1742, 12),
TO_UNSIGNED(58, 12), TO_UNSIGNED(607, 12),
TO_UNSIGNED(976, 12), TO_UNSIGNED(1069, 12),
TO_UNSIGNED(1315, 12), TO_UNSIGNED(1748, 12),
TO_UNSIGNED(61, 12), TO_UNSIGNED(609, 12),
TO_UNSIGNED(907, 12), TO_UNSIGNED(1075, 12),
TO_UNSIGNED(1321, 12), TO_UNSIGNED(1754, 12),
TO_UNSIGNED(64, 12), TO_UNSIGNED(611, 12),
TO_UNSIGNED(910, 12), TO_UNSIGNED(1081, 12),
TO_UNSIGNED(1333, 12), TO_UNSIGNED(1760, 12),
TO_UNSIGNED(67, 12), TO_UNSIGNED(613, 12),
TO_UNSIGNED(913, 12), TO_UNSIGNED(1087, 12),
TO_UNSIGNED(1327, 12), TO_UNSIGNED(1766, 12),
TO_UNSIGNED(70, 12), TO_UNSIGNED(615, 12),
TO_UNSIGNED(916, 12), TO_UNSIGNED(1093, 12),
TO_UNSIGNED(1351, 12), TO_UNSIGNED(1802, 12),
TO_UNSIGNED(73, 12), TO_UNSIGNED(617, 12),
TO_UNSIGNED(919, 12), TO_UNSIGNED(1099, 12),
TO_UNSIGNED(1357, 12), TO_UNSIGNED(1790, 12),
TO_UNSIGNED(8, 12), TO_UNSIGNED(132, 12),
TO_UNSIGNED(671, 12), TO_UNSIGNED(1028, 12),
TO_UNSIGNED(1196, 12), TO_UNSIGNED(1684, 12),
TO_UNSIGNED(1685, 12), TO_UNSIGNED(80, 12),
TO_UNSIGNED(85, 12), TO_UNSIGNED(674, 12),
TO_UNSIGNED(1034, 12), TO_UNSIGNED(1217, 12),
TO_UNSIGNED(1815, 12), TO_UNSIGNED(1822, 12),
TO_UNSIGNED(87, 12), TO_UNSIGNED(138, 12),
TO_UNSIGNED(142, 12), TO_UNSIGNED(677, 12),
TO_UNSIGNED(1040, 12), TO_UNSIGNED(1214, 12),
TO_UNSIGNED(1274, 12), TO_UNSIGNED(89, 12),
TO_UNSIGNED(144, 12), TO_UNSIGNED(680, 12),
TO_UNSIGNED(1046, 12), TO_UNSIGNED(1223, 12),
TO_UNSIGNED(1280, 12), TO_UNSIGNED(1689, 12),
TO_UNSIGNED(91, 12), TO_UNSIGNED(146, 12),
TO_UNSIGNED(683, 12), TO_UNSIGNED(1052, 12),
TO_UNSIGNED(1226, 12), TO_UNSIGNED(1286, 12),
TO_UNSIGNED(1713, 12), TO_UNSIGNED(93, 12),
TO_UNSIGNED(148, 12), TO_UNSIGNED(686, 12),
TO_UNSIGNED(1058, 12), TO_UNSIGNED(1229, 12),
TO_UNSIGNED(1268, 12), TO_UNSIGNED(1701, 12),
TO_UNSIGNED(95, 12), TO_UNSIGNED(150, 12),
TO_UNSIGNED(689, 12), TO_UNSIGNED(1064, 12),
TO_UNSIGNED(1220, 12), TO_UNSIGNED(1298, 12),
TO_UNSIGNED(1707, 12), TO_UNSIGNED(97, 12),
TO_UNSIGNED(152, 12), TO_UNSIGNED(620, 12),
TO_UNSIGNED(1070, 12), TO_UNSIGNED(1235, 12),
TO_UNSIGNED(1292, 12), TO_UNSIGNED(1695, 12),
TO_UNSIGNED(99, 12), TO_UNSIGNED(154, 12),
TO_UNSIGNED(623, 12), TO_UNSIGNED(1076, 12),
TO_UNSIGNED(1238, 12), TO_UNSIGNED(1310, 12),
TO_UNSIGNED(1719, 12), TO_UNSIGNED(101, 12),
TO_UNSIGNED(156, 12), TO_UNSIGNED(626, 12),
TO_UNSIGNED(1082, 12), TO_UNSIGNED(1241, 12),
TO_UNSIGNED(1304, 12), TO_UNSIGNED(1731, 12),
TO_UNSIGNED(103, 12), TO_UNSIGNED(158, 12),
TO_UNSIGNED(629, 12), TO_UNSIGNED(1088, 12),
TO_UNSIGNED(1232, 12), TO_UNSIGNED(1316, 12),
TO_UNSIGNED(1725, 12), TO_UNSIGNED(105, 12),
TO_UNSIGNED(160, 12), TO_UNSIGNED(632, 12),
TO_UNSIGNED(1094, 12), TO_UNSIGNED(1253, 12),
TO_UNSIGNED(1322, 12), TO_UNSIGNED(1737, 12),
TO_UNSIGNED(107, 12), TO_UNSIGNED(162, 12),
TO_UNSIGNED(635, 12), TO_UNSIGNED(1100, 12),
TO_UNSIGNED(1244, 12), TO_UNSIGNED(1334, 12),
TO_UNSIGNED(1773, 12), TO_UNSIGNED(109, 12),
TO_UNSIGNED(164, 12), TO_UNSIGNED(638, 12),
TO_UNSIGNED(1106, 12), TO_UNSIGNED(1247, 12),
TO_UNSIGNED(1328, 12), TO_UNSIGNED(1779, 12),
TO_UNSIGNED(111, 12), TO_UNSIGNED(166, 12),
TO_UNSIGNED(641, 12), TO_UNSIGNED(1112, 12),
TO_UNSIGNED(1250, 12), TO_UNSIGNED(1352, 12),
TO_UNSIGNED(1743, 12), TO_UNSIGNED(113, 12),
TO_UNSIGNED(168, 12), TO_UNSIGNED(644, 12),
TO_UNSIGNED(1118, 12), TO_UNSIGNED(1259, 12),
TO_UNSIGNED(1358, 12), TO_UNSIGNED(1749, 12),
TO_UNSIGNED(115, 12), TO_UNSIGNED(170, 12),
TO_UNSIGNED(647, 12), TO_UNSIGNED(980, 12),
TO_UNSIGNED(1256, 12), TO_UNSIGNED(1340, 12),
TO_UNSIGNED(1755, 12), TO_UNSIGNED(117, 12),
TO_UNSIGNED(172, 12), TO_UNSIGNED(650, 12),
TO_UNSIGNED(986, 12), TO_UNSIGNED(1265, 12),
TO_UNSIGNED(1346, 12), TO_UNSIGNED(1761, 12),
TO_UNSIGNED(119, 12), TO_UNSIGNED(174, 12),
TO_UNSIGNED(653, 12), TO_UNSIGNED(992, 12),
TO_UNSIGNED(1262, 12), TO_UNSIGNED(1370, 12),
TO_UNSIGNED(1767, 12), TO_UNSIGNED(121, 12),
TO_UNSIGNED(176, 12), TO_UNSIGNED(656, 12),
TO_UNSIGNED(998, 12), TO_UNSIGNED(1199, 12),
TO_UNSIGNED(1376, 12), TO_UNSIGNED(1803, 12),
TO_UNSIGNED(123, 12), TO_UNSIGNED(178, 12),
TO_UNSIGNED(659, 12), TO_UNSIGNED(1004, 12),
TO_UNSIGNED(1202, 12), TO_UNSIGNED(1364, 12),
TO_UNSIGNED(1791, 12), TO_UNSIGNED(125, 12),
TO_UNSIGNED(180, 12), TO_UNSIGNED(662, 12),
TO_UNSIGNED(1010, 12), TO_UNSIGNED(1205, 12),
TO_UNSIGNED(1394, 12), TO_UNSIGNED(1797, 12),
TO_UNSIGNED(127, 12), TO_UNSIGNED(182, 12),
TO_UNSIGNED(665, 12), TO_UNSIGNED(1016, 12),
TO_UNSIGNED(1208, 12), TO_UNSIGNED(1382, 12),
TO_UNSIGNED(1809, 12), TO_UNSIGNED(129, 12),
TO_UNSIGNED(184, 12), TO_UNSIGNED(668, 12),
TO_UNSIGNED(1022, 12), TO_UNSIGNED(1211, 12),
TO_UNSIGNED(1388, 12), TO_UNSIGNED(1785, 12),
TO_UNSIGNED(187, 12), TO_UNSIGNED(836, 12),
TO_UNSIGNED(1083, 12), TO_UNSIGNED(1140, 12),
TO_UNSIGNED(1371, 12), TO_UNSIGNED(1686, 12),
TO_UNSIGNED(1690, 12), TO_UNSIGNED(189, 12),
TO_UNSIGNED(839, 12), TO_UNSIGNED(1089, 12),
TO_UNSIGNED(1143, 12), TO_UNSIGNED(1377, 12),
TO_UNSIGNED(1714, 12), TO_UNSIGNED(1823, 12),
TO_UNSIGNED(143, 12), TO_UNSIGNED(191, 12),
TO_UNSIGNED(842, 12), TO_UNSIGNED(1095, 12),
TO_UNSIGNED(1146, 12), TO_UNSIGNED(1365, 12),
TO_UNSIGNED(1702, 12), TO_UNSIGNED(145, 12),
TO_UNSIGNED(193, 12), TO_UNSIGNED(845, 12),
TO_UNSIGNED(1101, 12), TO_UNSIGNED(1149, 12),
TO_UNSIGNED(1395, 12), TO_UNSIGNED(1708, 12),
TO_UNSIGNED(147, 12), TO_UNSIGNED(195, 12),
TO_UNSIGNED(848, 12), TO_UNSIGNED(1107, 12),
TO_UNSIGNED(1152, 12), TO_UNSIGNED(1383, 12),
TO_UNSIGNED(1696, 12), TO_UNSIGNED(149, 12),
TO_UNSIGNED(197, 12), TO_UNSIGNED(851, 12),
TO_UNSIGNED(1113, 12), TO_UNSIGNED(1155, 12),
TO_UNSIGNED(1389, 12), TO_UNSIGNED(1720, 12),
TO_UNSIGNED(133, 12), TO_UNSIGNED(151, 12),
TO_UNSIGNED(199, 12), TO_UNSIGNED(854, 12),
TO_UNSIGNED(1119, 12), TO_UNSIGNED(1158, 12),
TO_UNSIGNED(1732, 12), TO_UNSIGNED(81, 12),
TO_UNSIGNED(153, 12), TO_UNSIGNED(201, 12),
TO_UNSIGNED(857, 12), TO_UNSIGNED(981, 12),
TO_UNSIGNED(1161, 12), TO_UNSIGNED(1726, 12),
TO_UNSIGNED(155, 12), TO_UNSIGNED(203, 12),
TO_UNSIGNED(860, 12), TO_UNSIGNED(987, 12),
TO_UNSIGNED(1164, 12), TO_UNSIGNED(1275, 12),
TO_UNSIGNED(1738, 12), TO_UNSIGNED(157, 12),
TO_UNSIGNED(205, 12), TO_UNSIGNED(863, 12),
TO_UNSIGNED(993, 12), TO_UNSIGNED(1167, 12),
TO_UNSIGNED(1281, 12), TO_UNSIGNED(1774, 12),
TO_UNSIGNED(159, 12), TO_UNSIGNED(207, 12),
TO_UNSIGNED(866, 12), TO_UNSIGNED(999, 12),
TO_UNSIGNED(1170, 12), TO_UNSIGNED(1287, 12),
TO_UNSIGNED(1780, 12), TO_UNSIGNED(161, 12),
TO_UNSIGNED(209, 12), TO_UNSIGNED(869, 12),
TO_UNSIGNED(1005, 12), TO_UNSIGNED(1173, 12),
TO_UNSIGNED(1269, 12), TO_UNSIGNED(1744, 12),
TO_UNSIGNED(163, 12), TO_UNSIGNED(211, 12),
TO_UNSIGNED(872, 12), TO_UNSIGNED(1011, 12),
TO_UNSIGNED(1176, 12), TO_UNSIGNED(1299, 12),
TO_UNSIGNED(1750, 12), TO_UNSIGNED(165, 12),
TO_UNSIGNED(213, 12), TO_UNSIGNED(875, 12),
TO_UNSIGNED(1017, 12), TO_UNSIGNED(1179, 12),
TO_UNSIGNED(1293, 12), TO_UNSIGNED(1756, 12),
TO_UNSIGNED(167, 12), TO_UNSIGNED(215, 12),
TO_UNSIGNED(878, 12), TO_UNSIGNED(1023, 12),
TO_UNSIGNED(1182, 12), TO_UNSIGNED(1311, 12),
TO_UNSIGNED(1762, 12), TO_UNSIGNED(169, 12),
TO_UNSIGNED(217, 12), TO_UNSIGNED(881, 12),
TO_UNSIGNED(1029, 12), TO_UNSIGNED(1185, 12),
TO_UNSIGNED(1305, 12), TO_UNSIGNED(1768, 12),
TO_UNSIGNED(171, 12), TO_UNSIGNED(219, 12),
TO_UNSIGNED(884, 12), TO_UNSIGNED(1035, 12),
TO_UNSIGNED(1188, 12), TO_UNSIGNED(1317, 12),
TO_UNSIGNED(1804, 12), TO_UNSIGNED(173, 12),
TO_UNSIGNED(221, 12), TO_UNSIGNED(887, 12),
TO_UNSIGNED(1041, 12), TO_UNSIGNED(1191, 12),
TO_UNSIGNED(1323, 12), TO_UNSIGNED(1792, 12),
TO_UNSIGNED(175, 12), TO_UNSIGNED(223, 12),
TO_UNSIGNED(890, 12), TO_UNSIGNED(1047, 12),
TO_UNSIGNED(1122, 12), TO_UNSIGNED(1335, 12),
TO_UNSIGNED(1798, 12), TO_UNSIGNED(177, 12),
TO_UNSIGNED(225, 12), TO_UNSIGNED(893, 12),
TO_UNSIGNED(1053, 12), TO_UNSIGNED(1125, 12),
TO_UNSIGNED(1329, 12), TO_UNSIGNED(1810, 12),
TO_UNSIGNED(179, 12), TO_UNSIGNED(227, 12),
TO_UNSIGNED(896, 12), TO_UNSIGNED(1059, 12),
TO_UNSIGNED(1128, 12), TO_UNSIGNED(1353, 12),
TO_UNSIGNED(1786, 12), TO_UNSIGNED(9, 12),
TO_UNSIGNED(181, 12), TO_UNSIGNED(229, 12),
TO_UNSIGNED(899, 12), TO_UNSIGNED(1065, 12),
TO_UNSIGNED(1131, 12), TO_UNSIGNED(1359, 12),
TO_UNSIGNED(183, 12), TO_UNSIGNED(231, 12),
TO_UNSIGNED(902, 12), TO_UNSIGNED(1071, 12),
TO_UNSIGNED(1134, 12), TO_UNSIGNED(1341, 12),
TO_UNSIGNED(1816, 12), TO_UNSIGNED(139, 12),
TO_UNSIGNED(185, 12), TO_UNSIGNED(233, 12),
TO_UNSIGNED(905, 12), TO_UNSIGNED(1077, 12),
TO_UNSIGNED(1137, 12), TO_UNSIGNED(1347, 12),
TO_UNSIGNED(283, 12), TO_UNSIGNED(331, 12),
TO_UNSIGNED(1000, 12), TO_UNSIGNED(1123, 12),
TO_UNSIGNED(1300, 12), TO_UNSIGNED(1616, 12),
TO_UNSIGNED(1721, 12), TO_UNSIGNED(285, 12),
TO_UNSIGNED(333, 12), TO_UNSIGNED(1006, 12),
TO_UNSIGNED(1126, 12), TO_UNSIGNED(1294, 12),
TO_UNSIGNED(1733, 12), TO_UNSIGNED(1821, 12),
TO_UNSIGNED(14, 12), TO_UNSIGNED(287, 12),
TO_UNSIGNED(335, 12), TO_UNSIGNED(1012, 12),
TO_UNSIGNED(1129, 12), TO_UNSIGNED(1312, 12),
TO_UNSIGNED(1727, 12), TO_UNSIGNED(17, 12),
TO_UNSIGNED(289, 12), TO_UNSIGNED(337, 12),
TO_UNSIGNED(1018, 12), TO_UNSIGNED(1132, 12),
TO_UNSIGNED(1306, 12), TO_UNSIGNED(1739, 12),
TO_UNSIGNED(20, 12), TO_UNSIGNED(291, 12),
TO_UNSIGNED(339, 12), TO_UNSIGNED(1024, 12),
TO_UNSIGNED(1135, 12), TO_UNSIGNED(1318, 12),
TO_UNSIGNED(1775, 12), TO_UNSIGNED(23, 12),
TO_UNSIGNED(293, 12), TO_UNSIGNED(341, 12),
TO_UNSIGNED(1030, 12), TO_UNSIGNED(1138, 12),
TO_UNSIGNED(1324, 12), TO_UNSIGNED(1781, 12),
TO_UNSIGNED(26, 12), TO_UNSIGNED(295, 12),
TO_UNSIGNED(343, 12), TO_UNSIGNED(1036, 12),
TO_UNSIGNED(1141, 12), TO_UNSIGNED(1336, 12),
TO_UNSIGNED(1745, 12), TO_UNSIGNED(29, 12),
TO_UNSIGNED(297, 12), TO_UNSIGNED(345, 12),
TO_UNSIGNED(1042, 12), TO_UNSIGNED(1144, 12),
TO_UNSIGNED(1330, 12), TO_UNSIGNED(1751, 12),
TO_UNSIGNED(32, 12), TO_UNSIGNED(299, 12),
TO_UNSIGNED(347, 12), TO_UNSIGNED(1048, 12),
TO_UNSIGNED(1147, 12), TO_UNSIGNED(1354, 12),
TO_UNSIGNED(1757, 12), TO_UNSIGNED(35, 12),
TO_UNSIGNED(301, 12), TO_UNSIGNED(349, 12),
TO_UNSIGNED(1054, 12), TO_UNSIGNED(1150, 12),
TO_UNSIGNED(1360, 12), TO_UNSIGNED(1763, 12),
TO_UNSIGNED(38, 12), TO_UNSIGNED(303, 12),
TO_UNSIGNED(351, 12), TO_UNSIGNED(1060, 12),
TO_UNSIGNED(1153, 12), TO_UNSIGNED(1342, 12),
TO_UNSIGNED(1769, 12), TO_UNSIGNED(41, 12),
TO_UNSIGNED(305, 12), TO_UNSIGNED(353, 12),
TO_UNSIGNED(1066, 12), TO_UNSIGNED(1156, 12),
TO_UNSIGNED(1348, 12), TO_UNSIGNED(1805, 12),
TO_UNSIGNED(44, 12), TO_UNSIGNED(307, 12),
TO_UNSIGNED(355, 12), TO_UNSIGNED(1072, 12),
TO_UNSIGNED(1159, 12), TO_UNSIGNED(1372, 12),
TO_UNSIGNED(1793, 12), TO_UNSIGNED(47, 12),
TO_UNSIGNED(309, 12), TO_UNSIGNED(357, 12),
TO_UNSIGNED(1078, 12), TO_UNSIGNED(1162, 12),
TO_UNSIGNED(1378, 12), TO_UNSIGNED(1799, 12),
TO_UNSIGNED(50, 12), TO_UNSIGNED(311, 12),
TO_UNSIGNED(359, 12), TO_UNSIGNED(1084, 12),
TO_UNSIGNED(1165, 12), TO_UNSIGNED(1366, 12),
TO_UNSIGNED(1811, 12), TO_UNSIGNED(53, 12),
TO_UNSIGNED(313, 12), TO_UNSIGNED(361, 12),
TO_UNSIGNED(1090, 12), TO_UNSIGNED(1168, 12),
TO_UNSIGNED(1396, 12), TO_UNSIGNED(1787, 12),
TO_UNSIGNED(10, 12), TO_UNSIGNED(56, 12),
TO_UNSIGNED(315, 12), TO_UNSIGNED(363, 12),
TO_UNSIGNED(1096, 12), TO_UNSIGNED(1171, 12),
TO_UNSIGNED(1384, 12), TO_UNSIGNED(59, 12),
TO_UNSIGNED(317, 12), TO_UNSIGNED(365, 12),
TO_UNSIGNED(1102, 12), TO_UNSIGNED(1174, 12),
TO_UNSIGNED(1390, 12), TO_UNSIGNED(1817, 12),
TO_UNSIGNED(62, 12), TO_UNSIGNED(134, 12),
TO_UNSIGNED(140, 12), TO_UNSIGNED(319, 12),
TO_UNSIGNED(367, 12), TO_UNSIGNED(1108, 12),
TO_UNSIGNED(1177, 12), TO_UNSIGNED(65, 12),
TO_UNSIGNED(82, 12), TO_UNSIGNED(321, 12),
TO_UNSIGNED(369, 12), TO_UNSIGNED(1114, 12),
TO_UNSIGNED(1180, 12), TO_UNSIGNED(1691, 12),
TO_UNSIGNED(68, 12), TO_UNSIGNED(323, 12),
TO_UNSIGNED(371, 12), TO_UNSIGNED(1120, 12),
TO_UNSIGNED(1183, 12), TO_UNSIGNED(1276, 12),
TO_UNSIGNED(1715, 12), TO_UNSIGNED(71, 12),
TO_UNSIGNED(325, 12), TO_UNSIGNED(373, 12),
TO_UNSIGNED(982, 12), TO_UNSIGNED(1186, 12),
TO_UNSIGNED(1282, 12), TO_UNSIGNED(1703, 12),
TO_UNSIGNED(74, 12), TO_UNSIGNED(327, 12),
TO_UNSIGNED(375, 12), TO_UNSIGNED(988, 12),
TO_UNSIGNED(1189, 12), TO_UNSIGNED(1288, 12),
TO_UNSIGNED(1709, 12), TO_UNSIGNED(77, 12),
TO_UNSIGNED(329, 12), TO_UNSIGNED(377, 12),
TO_UNSIGNED(994, 12), TO_UNSIGNED(1192, 12),
TO_UNSIGNED(1270, 12), TO_UNSIGNED(1697, 12),
TO_UNSIGNED(427, 12), TO_UNSIGNED(475, 12),
TO_UNSIGNED(944, 12), TO_UNSIGNED(1025, 12),
TO_UNSIGNED(1169, 12), TO_UNSIGNED(1343, 12),
TO_UNSIGNED(1752, 12), TO_UNSIGNED(429, 12),
TO_UNSIGNED(477, 12), TO_UNSIGNED(947, 12),
TO_UNSIGNED(1031, 12), TO_UNSIGNED(1172, 12),
TO_UNSIGNED(1349, 12), TO_UNSIGNED(1758, 12),
TO_UNSIGNED(431, 12), TO_UNSIGNED(479, 12),
TO_UNSIGNED(950, 12), TO_UNSIGNED(1037, 12),
TO_UNSIGNED(1175, 12), TO_UNSIGNED(1373, 12),
TO_UNSIGNED(1764, 12), TO_UNSIGNED(433, 12),
TO_UNSIGNED(481, 12), TO_UNSIGNED(953, 12),
TO_UNSIGNED(1043, 12), TO_UNSIGNED(1178, 12),
TO_UNSIGNED(1379, 12), TO_UNSIGNED(1770, 12),
TO_UNSIGNED(435, 12), TO_UNSIGNED(483, 12),
TO_UNSIGNED(956, 12), TO_UNSIGNED(1049, 12),
TO_UNSIGNED(1181, 12), TO_UNSIGNED(1367, 12),
TO_UNSIGNED(1806, 12), TO_UNSIGNED(437, 12),
TO_UNSIGNED(485, 12), TO_UNSIGNED(959, 12),
TO_UNSIGNED(1055, 12), TO_UNSIGNED(1184, 12),
TO_UNSIGNED(1397, 12), TO_UNSIGNED(1794, 12),
TO_UNSIGNED(439, 12), TO_UNSIGNED(487, 12),
TO_UNSIGNED(962, 12), TO_UNSIGNED(1061, 12),
TO_UNSIGNED(1187, 12), TO_UNSIGNED(1385, 12),
TO_UNSIGNED(1800, 12), TO_UNSIGNED(441, 12),
TO_UNSIGNED(489, 12), TO_UNSIGNED(965, 12),
TO_UNSIGNED(1067, 12), TO_UNSIGNED(1190, 12),
TO_UNSIGNED(1391, 12), TO_UNSIGNED(1812, 12),
TO_UNSIGNED(135, 12), TO_UNSIGNED(443, 12),
TO_UNSIGNED(491, 12), TO_UNSIGNED(968, 12),
TO_UNSIGNED(1073, 12), TO_UNSIGNED(1193, 12),
TO_UNSIGNED(1788, 12), TO_UNSIGNED(11, 12),
TO_UNSIGNED(83, 12), TO_UNSIGNED(445, 12),
TO_UNSIGNED(493, 12), TO_UNSIGNED(971, 12),
TO_UNSIGNED(1079, 12), TO_UNSIGNED(1124, 12),
TO_UNSIGNED(447, 12), TO_UNSIGNED(495, 12),
TO_UNSIGNED(974, 12), TO_UNSIGNED(1085, 12),
TO_UNSIGNED(1127, 12), TO_UNSIGNED(1277, 12),
TO_UNSIGNED(1818, 12), TO_UNSIGNED(141, 12),
TO_UNSIGNED(449, 12), TO_UNSIGNED(497, 12),
TO_UNSIGNED(977, 12), TO_UNSIGNED(1091, 12),
TO_UNSIGNED(1130, 12), TO_UNSIGNED(1283, 12),
TO_UNSIGNED(451, 12), TO_UNSIGNED(499, 12),
TO_UNSIGNED(908, 12), TO_UNSIGNED(1097, 12),
TO_UNSIGNED(1133, 12), TO_UNSIGNED(1289, 12),
TO_UNSIGNED(1692, 12), TO_UNSIGNED(453, 12),
TO_UNSIGNED(501, 12), TO_UNSIGNED(911, 12),
TO_UNSIGNED(1103, 12), TO_UNSIGNED(1136, 12),
TO_UNSIGNED(1271, 12), TO_UNSIGNED(1716, 12),
TO_UNSIGNED(455, 12), TO_UNSIGNED(503, 12),
TO_UNSIGNED(914, 12), TO_UNSIGNED(1109, 12),
TO_UNSIGNED(1139, 12), TO_UNSIGNED(1301, 12),
TO_UNSIGNED(1704, 12), TO_UNSIGNED(457, 12),
TO_UNSIGNED(505, 12), TO_UNSIGNED(917, 12),
TO_UNSIGNED(1115, 12), TO_UNSIGNED(1142, 12),
TO_UNSIGNED(1295, 12), TO_UNSIGNED(1710, 12),
TO_UNSIGNED(459, 12), TO_UNSIGNED(507, 12),
TO_UNSIGNED(920, 12), TO_UNSIGNED(1121, 12),
TO_UNSIGNED(1145, 12), TO_UNSIGNED(1313, 12),
TO_UNSIGNED(1698, 12), TO_UNSIGNED(461, 12),
TO_UNSIGNED(509, 12), TO_UNSIGNED(923, 12),
TO_UNSIGNED(983, 12), TO_UNSIGNED(1148, 12),
TO_UNSIGNED(1307, 12), TO_UNSIGNED(1722, 12),
TO_UNSIGNED(463, 12), TO_UNSIGNED(511, 12),
TO_UNSIGNED(926, 12), TO_UNSIGNED(989, 12),
TO_UNSIGNED(1151, 12), TO_UNSIGNED(1319, 12),
TO_UNSIGNED(1734, 12), TO_UNSIGNED(465, 12),
TO_UNSIGNED(513, 12), TO_UNSIGNED(929, 12),
TO_UNSIGNED(995, 12), TO_UNSIGNED(1154, 12),
TO_UNSIGNED(1325, 12), TO_UNSIGNED(1728, 12),
TO_UNSIGNED(467, 12), TO_UNSIGNED(515, 12),
TO_UNSIGNED(932, 12), TO_UNSIGNED(1001, 12),
TO_UNSIGNED(1157, 12), TO_UNSIGNED(1337, 12),
TO_UNSIGNED(1740, 12), TO_UNSIGNED(469, 12),
TO_UNSIGNED(517, 12), TO_UNSIGNED(935, 12),
TO_UNSIGNED(1007, 12), TO_UNSIGNED(1160, 12),
TO_UNSIGNED(1331, 12), TO_UNSIGNED(1776, 12),
TO_UNSIGNED(471, 12), TO_UNSIGNED(519, 12),
TO_UNSIGNED(938, 12), TO_UNSIGNED(1013, 12),
TO_UNSIGNED(1163, 12), TO_UNSIGNED(1355, 12),
TO_UNSIGNED(1782, 12), TO_UNSIGNED(473, 12),
TO_UNSIGNED(521, 12), TO_UNSIGNED(941, 12),
TO_UNSIGNED(1019, 12), TO_UNSIGNED(1166, 12),
TO_UNSIGNED(1361, 12), TO_UNSIGNED(1746, 12)
);
BEGIN
-------------------------------------------------------------------------
-- synthesis translate_off
PROCESS
BEGIN
WAIT FOR 1 ns;
printmsg("(IMS) Q16_8_IndexLUT : ALLOCATION OK !");
WAIT;
END PROCESS;
-- synthesis translate_on
-------------------------------------------------------------------------
-------------------------------------------------------------------------
PROCESS ( INPUT_1 )
VARIABLE OP1 : UNSIGNED(10 downto 0);
BEGIN
OP1 := UNSIGNED( INPUT_1(10 downto 0) );
-- synthesis translate_off
if ( OP1 > TO_UNSIGNED(1823, 11) ) THEN
OP1 := TO_UNSIGNED(1823, 11);
END IF;
-- synthesis translate_on
OUTPUT_1 <= "00000000000000000000" & STD_LOGIC_VECTOR(ROM( TO_integer( OP1 ) ));
END PROCESS;
-------------------------------------------------------------------------
END ROM;
|
--First version. It takes 6 cycle to process a data.
--accm
-- ************************************
-- Automatically Generated FSM
-- vector_chan
-- ************************************
-- **********************
-- Library inclusions
-- **********************
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
use ieee.numeric_std.all;
-- **********************
-- Entity Definition
-- **********************
entity vector_chan is
generic(
G_ADDR_WIDTH : integer := 32;
G_DATA_WIDTH : integer := 32;
OPCODE_BITS : integer := 6;
FUNC_BITS : integer := 6
);
port
(
Vector_A_addr0 : out std_logic_vector(0 to (G_ADDR_WIDTH - 1));
Vector_A_dIN0 : out std_logic_vector(0 to (G_DATA_WIDTH - 1));
Vector_A_dOUT0 : in std_logic_vector(0 to (G_DATA_WIDTH - 1));
Vector_A_rENA0 : out std_logic;
Vector_A_wENA0 : out std_logic_vector(0 to (G_DATA_WIDTH/8) -1);
Vector_B_addr0 : out std_logic_vector(0 to (G_ADDR_WIDTH - 1));
Vector_B_dIN0 : out std_logic_vector(0 to (G_DATA_WIDTH - 1));
Vector_B_dOUT0 : in std_logic_vector(0 to (G_DATA_WIDTH - 1));
Vector_B_rENA0 : out std_logic;
Vector_B_wENA0 : out std_logic_vector(0 to (G_DATA_WIDTH/8) -1);
Vector_C_addr0 : out std_logic_vector(0 to (G_ADDR_WIDTH - 1));
Vector_C_dIN0 : out std_logic_vector(0 to (G_DATA_WIDTH - 1));
Vector_C_dOUT0 : in std_logic_vector(0 to (G_DATA_WIDTH - 1));
Vector_C_rENA0 : out std_logic;
Vector_C_wENA0 : out std_logic_vector(0 to (G_DATA_WIDTH/8) -1);
chan1_channelDataIn : out std_logic_vector(0 to (32 - 1));
chan1_channelDataOut : in std_logic_vector(0 to (32 - 1));
chan1_exists : in std_logic;
chan1_full : in std_logic;
chan1_channelRead : out std_logic;
chan1_channelWrite : out std_logic;
clock_sig : in std_logic;
reset_sig : in std_logic
);
end entity vector_chan;
-- *************************
-- Architecture Definition
-- *************************
architecture IMPLEMENTATION of vector_chan is
component infer_bram
generic
(
ADDRESS_BITS : integer := 9;
DATA_BITS : integer := 32
);
port (
CLKA : in std_logic;
ENA : in std_logic;
WEA : in std_logic;
ADDRA : in std_logic_vector(0 to (ADDRESS_BITS - 1));
DIA : in std_logic_vector(0 to (DATA_BITS - 1));
DOA : out std_logic_vector(0 to (DATA_BITS - 1));
CLKB : in std_logic;
ENB : in std_logic;
WEB : in std_logic;
ADDRB : in std_logic_vector(0 to (ADDRESS_BITS - 1));
DIB : in std_logic_vector(0 to (DATA_BITS - 1));
DOB : out std_logic_vector(0 to (DATA_BITS - 1))
);
end component infer_BRAM;
-- ****************************************************
-- Type definitions for state signals
-- ****************************************************
type STATE_MACHINE_TYPE is
(
reset,
fetch,
get_instr,
read_size,
read_index,
decode,
defunc,
halt,
addv_for_loop,
extra1,
addv_ALU,
addv_write_back,
mulv_for_loop,
extra2,
mulv_ALU,
mulv_write_back,
redv_for_loop,
extra3,
redv_ALU,
redv_write_back,
before_fetch,
xxx,
after_read_size
);
signal current_state,next_state: STATE_MACHINE_TYPE :=reset;
-- ****************************************************
-- Type definitions for FSM signals
-- ****************************************************
signal in_Vector_A_addr0 : std_logic_vector(0 to (G_ADDR_WIDTH - 1));
signal in_Vector_B_addr0 : std_logic_vector(0 to (G_ADDR_WIDTH - 1));
signal in_Vector_C_addr0 : std_logic_vector(0 to (G_ADDR_WIDTH - 1));
signal swapped, swapped_next : std_logic;
signal i, i_next : std_logic_vector(0 to G_ADDR_WIDTH - 1);
signal n, n_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal n_new, n_new_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal instruction, instruction_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal index, index_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal ret, ret_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataA1, dataA1_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataA2, dataA2_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataB1, dataB1_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataB2, dataB2_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataC1, dataC1_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataC2, dataC2_next : std_logic_vector(0 to G_DATA_WIDTH - 1);
signal dataMUL, dataMUL_next : std_logic_vector(0 to G_DATA_WIDTH + G_DATA_WIDTH - 1);
signal op, op_next : std_logic_vector(0 to 5);
signal rs, rs_next : std_logic_vector(0 to 4);
signal rt, rt_next : std_logic_vector(0 to 4);
signal rd, rd_next : std_logic_vector(0 to 4);
signal sh, sh_next : std_logic_vector(0 to 4);
signal fn, fn_next : std_logic_vector(0 to 5);
-- ****************************************************
-- User-defined VHDL Section
-- ****************************************************
constant OP_R : std_logic_vector(0 to OPCODE_BITS-1) := "000000";
constant FN_NOP : std_logic_vector(0 to FUNC_BITS-1) := "000000"; -- 0/00H
constant FN_ADDV : std_logic_vector(0 to FUNC_BITS-1) := "110000"; -- 0/30H
constant FN_MULV : std_logic_vector(0 to FUNC_BITS-1) := "110001"; -- 0/31
constant FN_REDV : std_logic_vector(0 to FUNC_BITS-1) := "110010"; -- 0/32
--constant OP_NOP : std_logic_vector(0 to OPCODE_BITS-1) := x"0";
--constant OP_ADD : std_logic_vector(0 to OPCODE_BITS-1) := x"1";
--constant OP_SUB : std_logic_vector(0 to OPCODE_BITS-1) := x"2";
--constant OP_ADDi : std_logic_vector(0 to OPCODE_BITS-1) := x"3";
--constant OP_SUBi : std_logic_vector(0 to OPCODE_BITS-1) := x"4";
--constant OP_ADDV : std_logic_vector(0 to OPCODE_BITS-1) := x"5";
--constant OP_SUBV : std_logic_vector(0 to OPCODE_BITS-1) := x"6";
--constant OP_ADDVS : std_logic_vector(0 to OPCODE_BITS-1) := x"7";
--constant OP_SUBVS : std_logic_vector(0 to OPCODE_BITS-1) := x"8";
--constant OP_SNEV : std_logic_vector(0 to OPCODE_BITS-1) := x"9";
--constant OP_SNEVS : std_logic_vector(0 to OPCODE_BITS-1) := x"A";
--constant OP_SLTV : std_logic_vector(0 to OPCODE_BITS-1) := x"B";
--constant OP_SLTVS : std_logic_vector(0 to OPCODE_BITS-1) := x"C";
--constant OP_CVM : std_logic_vector(0 to OPCODE_BITS-1) := x"D";
--constant OP_SVLR : std_logic_vector(0 to OPCODE_BITS-1) := x"E";
--constant OP_SVMR : std_logic_vector(0 to OPCODE_BITS-1) := x"F";
-- Architecture Section
begin
-- ************************
-- Permanent Connections
-- ************************
Vector_A_addr0 <= in_Vector_A_addr0(2 to 31) & "00";
Vector_B_addr0 <= in_Vector_B_addr0(2 to 31) & "00";
Vector_C_addr0 <= in_Vector_C_addr0(2 to 31) & "00";
-- ************************
-- BRAM implementations
-- ************************
-- ****************************************************
-- Process to handle the synchronous portion of an FSM
-- ****************************************************
FSM_SYNC_PROCESS : process(
swapped_next,
i_next,
n_next,
n_new_next,
instruction_next,
index_next,
ret_next,
dataA1_next,
dataA2_next,
dataB1_next,
dataB2_next,
dataC1_next,
dataC2_next,
dataMUL_next,
op_next,
rs_next,
rt_next,
rd_next,
sh_next,
fn_next,
next_state,
clock_sig, reset_sig) is
begin
if (clock_sig'event and clock_sig = '1') then
if (reset_sig = '1') then
-- Reset all FSM signals, and enter the initial state
swapped <= '0';
i <= (others => '0');
n <= (others => '0');
n_new <= (others => '0');
instruction <= (others => '0');
index <= (others => '0');
ret <= (others => '0');
dataA1 <= (others => '0');
dataA2 <= (others => '0');
dataB1 <= (others => '0');
dataB2 <= (others => '0');
dataC1 <= (others => '0');
dataC2 <= (others => '0');
dataMUL <= (others => '0');
op <= (others => '0');
rs <= (others => '0');
rt <= (others => '0');
rd <= (others => '0');
sh <= (others => '0');
fn <= (others => '0');
current_state <= reset;
else
-- Transition to next state
swapped <= swapped_next;
i <= i_next;
n <= n_next;
n_new <= n_new_next;
instruction <= instruction_next;
index <= index_next;
ret <= ret_next;
dataA1 <= dataA1_next;
dataA2 <= dataA2_next;
dataB1 <= dataB1_next;
dataB2 <= dataB2_next;
dataC1 <= dataC1_next;
dataC2 <= dataC2_next;
dataMUL <= dataMUL_next;
op <= op_next;
rs <= rs_next;
rt <= rt_next;
rd <= rd_next;
sh <= sh_next;
fn <= fn_next;
current_state <= next_state;
end if;
end if;
end process FSM_SYNC_PROCESS;
-- ************************************************************************
-- Process to handle the asynchronous (combinational) portion of an FSM
-- ************************************************************************
FSM_COMB_PROCESS : process(
Vector_A_dOUT0,
Vector_B_dOUT0,
Vector_C_dOUT0,
chan1_channelDataOut, chan1_full, chan1_exists,
swapped,
i,
n,
n_new,
instruction,
index,
ret,
dataA1,
dataA2,
dataB1,
dataB2,
dataC1,
dataC2,
dataMUL,
op,
rs,
rt,
rd,
sh,
fn,
current_state) is
begin
-- Default signal assignments
swapped_next <= swapped;
i_next <= i;
n_next <= n;
n_new_next <= n_new;
instruction_next <= instruction;
index_next <= index;
ret_next <= ret;
dataA1_next <= dataA1;
dataA2_next <= dataA2;
dataB1_next <= dataB1;
dataB2_next <= dataB2;
dataC1_next <= dataC1;
dataC2_next <= dataC2;
dataMUL_next <= dataMUL;
op_next <= op;
rs_next <= rs;
rt_next <= rt;
rd_next <= rd;
sh_next <= sh;
fn_next <= fn;
in_Vector_A_addr0 <= (others => '0');
Vector_A_dIN0 <= (others => '0');
Vector_A_rENA0 <= '0';
Vector_A_wENA0 <= (others => '0');
in_Vector_B_addr0 <= (others => '0');
Vector_B_dIN0 <= (others => '0');
Vector_B_rENA0 <= '0';
Vector_B_wENA0 <= (others => '0');
in_Vector_C_addr0 <= (others => '0');
Vector_C_dIN0 <= (others => '0');
Vector_C_rENA0 <= '0';
Vector_C_wENA0 <= (others => '0');
chan1_channelDataIn <= (others => '0');
chan1_channelRead <= '0';
chan1_channelWrite <= '0';
next_state <= current_state;
-- FSM logic
case (current_state) is
when addv_ALU =>
dataC1_next <= dataA1 + dataB1;
next_state <= addv_write_back;
when addv_for_loop =>
if ( i >= n ) then
next_state <= halt;
elsif ( i < n ) then
in_Vector_A_addr0 <= i;
Vector_A_rENA0 <= '1';
in_Vector_B_addr0 <= i;
Vector_B_rENA0 <= '1';
next_state <= extra1;
end if;
when addv_write_back =>
i_next <= i + 1;
in_Vector_C_addr0 <= i;
Vector_C_dIN0 <= dataC1;
Vector_C_wENA0 <= (others => '1');
Vector_C_rENA0 <= '1';
next_state <= addv_for_loop;
when decode =>
if ( op = OP_R ) then
next_state <= defunc;
end if;
when defunc =>
if ( fn = FN_NOP ) then
next_state <= halt;
elsif ( fn = FN_ADDV ) then
i_next <= index;
next_state <= addv_for_loop;
elsif ( fn = FN_MULV ) then
i_next <= index;
next_state <= mulv_for_loop;
elsif ( fn = FN_REDV ) then
i_next <= index;
next_state <= redv_for_loop;
end if;
when extra1 =>
dataB1_next <= Vector_B_dOUT0;
dataA1_next <= Vector_A_dOUT0;
next_state <= addv_ALU;
when extra2 =>
dataB1_next <= Vector_B_dOUT0;
dataA1_next <= Vector_A_dOUT0;
next_state <= mulv_ALU;
when extra3 =>
dataB1_next <= Vector_B_dOUT0;
dataA1_next <= Vector_A_dOUT0;
next_state <= redv_ALU;
when fetch =>
if chan1_exists = '0' then
next_state <= fetch;
elsif chan1_exists /= '0' then
instruction_next <= chan1_channelDataOut;
chan1_channelRead <= '1';
next_state <= get_instr;
i_next <= (others => '0');
end if;
when get_instr =>
ret_next <= (others => '0');
fn_next <= instruction(26 to 31);
sh_next <= instruction(21 to 25);
rt_next <= instruction(16 to 20);
rs_next <= instruction(11 to 15);
rd_next <= instruction(6 to 10);
op_next <= instruction(0 to 5);
next_state <= read_size;
when halt =>
next_state <= before_fetch;
i_next <= (others => '0');
when before_fetch =>
if (i >=n) then
next_state <= xxx;
else
i_next <= i +1;
in_Vector_C_addr0 <= i;
Vector_C_rENA0 <= '1';
end if;
when xxx =>
if chan1_full /= '0' then
next_state <= xxx;
elsif chan1_full = '0' then
chan1_channelDataIn <= ret;
chan1_channelWrite <= '1';
next_state <= fetch;
end if;
when mulv_ALU =>
dataMUL_next <= dataA1 * dataB1;
next_state <= mulv_write_back;
when mulv_for_loop =>
if ( i >= n ) then
next_state <= halt;
elsif ( i < n ) then
in_Vector_A_addr0 <= i;
Vector_A_rENA0 <= '1';
in_Vector_B_addr0 <= i;
Vector_B_rENA0 <= '1';
next_state <= extra2;
end if;
when mulv_write_back =>
i_next <= i + 1;
in_Vector_C_addr0 <= i;
Vector_C_dIN0 <= dataMUL(32 to 63);
Vector_C_wENA0 <= (others => '1');
Vector_C_rENA0 <= '1';
next_state <= mulv_for_loop;
when read_index =>
if chan1_exists = '0' then
next_state <= read_index;
elsif chan1_exists /= '0' then
index_next <= chan1_channelDataOut;
chan1_channelRead <= '1';
next_state <= decode;
end if;
when read_size =>
if chan1_exists = '0' then
next_state <= read_size;
elsif chan1_exists /= '0' then
n_next <= chan1_channelDataOut;
chan1_channelRead <= '1';
next_state <= after_read_size;
end if;
when after_read_size =>
if (i >=n) then
next_state <= read_index;
else
i_next <= i +1;
in_Vector_C_addr0 <= i;
Vector_C_rENA0 <= '1';
end if;
when redv_ALU =>
dataMUL_next <= dataA1 * dataB1;
next_state <= redv_write_back;
when redv_for_loop =>
if ( i >= n ) then
next_state <= halt;
elsif ( i < n ) then
in_Vector_A_addr0 <= i;
Vector_A_rENA0 <= '1';
in_Vector_B_addr0 <= i;
Vector_B_rENA0 <= '1';
next_state <= extra3;
end if;
when redv_write_back =>
i_next <= i + 1;
ret_next <= ret + dataMUL(32 to 63);
next_state <= redv_for_loop;
when reset =>
next_state <= fetch;
when others =>
next_state <= reset;
end case;
end process FSM_COMB_PROCESS;
end architecture IMPLEMENTATION;
-- $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
-- $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
-- ************************************************
-- Entity used for implementing the inferred BRAMs
-- ************************************************
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.std_logic_arith.all;
use IEEE.std_logic_unsigned.all;
use IEEE.std_logic_misc.all;
use IEEE.std_logic_misc.all;
use IEEE.numeric_std.all;
-- *************************************************************************
-- Entity declaration
-- *************************************************************************
entity infer_bram is
generic (
ADDRESS_BITS : integer := 9;
DATA_BITS : integer := 32
);
port (
CLKA : in std_logic;
ENA : in std_logic;
WEA : in std_logic;
ADDRA : in std_logic_vector(0 to (ADDRESS_BITS - 1));
DIA : in std_logic_vector(0 to (DATA_BITS - 1));
DOA : out std_logic_vector(0 to (DATA_BITS - 1));
CLKB : in std_logic;
ENB : in std_logic;
WEB : in std_logic;
ADDRB : in std_logic_vector(0 to (ADDRESS_BITS - 1));
DIB : in std_logic_vector(0 to (DATA_BITS - 1));
DOB : out std_logic_vector(0 to (DATA_BITS - 1))
);
end entity infer_bram;
-- *************************************************************************
-- Architecture declaration
-- *************************************************************************
architecture implementation of infer_bram is
-- Constant declarations
constant BRAM_SIZE : integer := 2 **ADDRESS_BITS; -- # of entries in the inferred BRAM
-- BRAM data storage (array)
type bram_storage is array( 0 to BRAM_SIZE - 1 ) of std_logic_vector( 0 to DATA_BITS - 1 );
shared variable BRAM_DATA : bram_storage;
-- attribute ram_style : string;
-- attribute ram_style of BRAM_DATA : signal is "block";
begin
-- *************************************************************************
-- Process: BRAM_CONTROLLER_A
-- Purpose: Controller for Port A of inferred dual-port BRAM, BRAM_DATA
-- *************************************************************************
BRAM_CONTROLLER_A : process(CLKA) is
begin
if( CLKA'event and CLKA = '1' ) then
if( ENA = '1' ) then
if( WEA = '1' ) then
BRAM_DATA( conv_integer(ADDRA) ) := DIA;
end if;
DOA <= BRAM_DATA( conv_integer(ADDRA) );
end if;
end if;
end process BRAM_CONTROLLER_A;
-- *************************************************************************
-- Process: BRAM_CONTROLLER_B
-- Purpose: Controller for Port B of inferred dual-port BRAM, BRAM_DATA
-- *************************************************************************
BRAM_CONTROLLER_B : process(CLKB) is
begin
if( CLKB'event and CLKB = '1' ) then
if( ENB = '1' ) then
if( WEB = '1' ) then
BRAM_DATA( conv_integer(ADDRB) ) := DIB;
end if;
DOB <= BRAM_DATA( conv_integer(ADDRB) );
end if;
end if;
end process BRAM_CONTROLLER_B;
end architecture implementation;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc999.vhd,v 1.2 2001-10-26 16:30:29 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c06s03b00x00p09n01i00999pkg is
type TWO is range 1 to 2;
end c06s03b00x00p09n01i00999pkg;
use work.c06s03b00x00p09n01i00999pkg.all;
ENTITY c06s03b00x00p09n01i00999ent IS
END c06s03b00x00p09n01i00999ent;
ARCHITECTURE c06s03b00x00p09n01i00999arch OF c06s03b00x00p09n01i00999ent IS
BEGIN
TESTING: PROCESS
subtype ST3 is c06s03b00x00p09n01i00999pkg.c06s03b00x00p09n01i00999ent.TWO (1 to 1);
-- SEMANTIC ERROR: ILLEGAL EXPANDED NAME
BEGIN
assert FALSE
report "***FAILED TEST: c06s03b00x00p09n01i00999 - Expanded name is illegal."
severity ERROR;
wait;
END PROCESS TESTING;
END c06s03b00x00p09n01i00999arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc999.vhd,v 1.2 2001-10-26 16:30:29 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c06s03b00x00p09n01i00999pkg is
type TWO is range 1 to 2;
end c06s03b00x00p09n01i00999pkg;
use work.c06s03b00x00p09n01i00999pkg.all;
ENTITY c06s03b00x00p09n01i00999ent IS
END c06s03b00x00p09n01i00999ent;
ARCHITECTURE c06s03b00x00p09n01i00999arch OF c06s03b00x00p09n01i00999ent IS
BEGIN
TESTING: PROCESS
subtype ST3 is c06s03b00x00p09n01i00999pkg.c06s03b00x00p09n01i00999ent.TWO (1 to 1);
-- SEMANTIC ERROR: ILLEGAL EXPANDED NAME
BEGIN
assert FALSE
report "***FAILED TEST: c06s03b00x00p09n01i00999 - Expanded name is illegal."
severity ERROR;
wait;
END PROCESS TESTING;
END c06s03b00x00p09n01i00999arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc999.vhd,v 1.2 2001-10-26 16:30:29 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c06s03b00x00p09n01i00999pkg is
type TWO is range 1 to 2;
end c06s03b00x00p09n01i00999pkg;
use work.c06s03b00x00p09n01i00999pkg.all;
ENTITY c06s03b00x00p09n01i00999ent IS
END c06s03b00x00p09n01i00999ent;
ARCHITECTURE c06s03b00x00p09n01i00999arch OF c06s03b00x00p09n01i00999ent IS
BEGIN
TESTING: PROCESS
subtype ST3 is c06s03b00x00p09n01i00999pkg.c06s03b00x00p09n01i00999ent.TWO (1 to 1);
-- SEMANTIC ERROR: ILLEGAL EXPANDED NAME
BEGIN
assert FALSE
report "***FAILED TEST: c06s03b00x00p09n01i00999 - Expanded name is illegal."
severity ERROR;
wait;
END PROCESS TESTING;
END c06s03b00x00p09n01i00999arch;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: odpad
-- File: odpad.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: tri-state output pad with technology wrapper
------------------------------------------------------------------------------
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
use techmap.allpads.all;
entity odpad is
generic (tech : integer := 0; level : integer := 0; slew : integer := 0;
voltage : integer := x33v; strength : integer := 12;
oepol : integer := 0);
port (pad : out std_ulogic; i : in std_ulogic;
cfgi: in std_logic_vector(19 downto 0) := "00000000000000000000");
end;
architecture rtl of odpad is
signal gnd, oen, padx : std_ulogic;
begin
oen <= not i when oepol /= padoen_polarity(tech) else i;
gnd <= '0';
gen0 : if has_pads(tech) = 0 generate
pad <= gnd
-- pragma translate_off
after 2 ns
-- pragma translate_on
when oen = '0'
-- pragma translate_off
else 'X' after 2 ns when is_x(i)
-- pragma translate_on
else 'Z'
-- pragma translate_off
after 2 ns
-- pragma translate_on
;
end generate;
xcv : if (is_unisim(tech) = 1) generate
x0 : unisim_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
axc : if (tech = axcel) or (tech = axdsp) generate
x0 : axcel_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
pa3 : if (tech = proasic) or (tech = apa3) generate
x0 : apa3_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
pa3e : if (tech = apa3e) generate
x0 : apa3e_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
pa3l : if (tech = apa3l) generate
x0 : apa3l_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
fus : if (tech = actfus) generate
x0 : fusion_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
atc : if (tech = atc18s) generate
x0 : atc18_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
atcrh : if (tech = atc18rha) generate
x0 : atc18rha_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
um : if (tech = umc) generate
x0 : umc_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
rhu : if (tech = rhumc) generate
x0 : rhumc_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
ihp : if (tech = ihp25) generate
x0 : ihp25_toutpad generic map(level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
rh18t : if (tech = rhlib18t) generate
x0 : rh_lib18t_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
ut025 : if (tech = ut25) generate
x0 : ut025crh_iopad generic map (level, slew, voltage, strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
ut13 : if (tech = ut130) generate
x0 : ut130hbd_iopad generic map (level, slew, voltage, strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
pere : if (tech = peregrine) generate
x0 : peregrine_iopad generic map (strength)
port map (padx, gnd, oen, open);
pad <= padx;
end generate;
nex : if (tech = easic90) generate
x0 : nextreme_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen);
end generate;
n2x : if (tech = easic45) generate
x0 : n2x_toutpad generic map (level, slew, voltage, strength)
port map (pad, gnd, oen,cfgi(0), cfgi(1),
cfgi(19 downto 15), cfgi(14 downto 10),
cfgi(9 downto 6), cfgi(5 downto 2));
end generate;
end;
library techmap;
library ieee;
use ieee.std_logic_1164.all;
use techmap.gencomp.all;
entity odpadv is
generic (tech : integer := 0; level : integer := 0; slew : integer := 0;
voltage : integer := 0; strength : integer := 0; width : integer := 1;
oepol : integer := 0);
port (
pad : out std_logic_vector(width-1 downto 0);
i : in std_logic_vector(width-1 downto 0);
cfgi: in std_logic_vector(19 downto 0) := "00000000000000000000");
end;
architecture rtl of odpadv is
begin
v : for j in width-1 downto 0 generate
x0 : odpad generic map (tech, level, slew, voltage, strength, oepol)
port map (pad(j), i(j), cfgi);
end generate;
end;
|
library IEEE;
use IEEE.STD_LOGIC_1164.all;
use IEEE.NUMERIC_STD.all;
use ieee.math_real.all;
library std;
library altera_mf;
use altera_mf.altera_mf_components.all;
use work.harris_package_components.all;
entity harris_wrapper is
generic (
LINE_WIDTH_MAX : integer;
PIX_WIDTH : integer
);
port(
clk_proc : in std_logic;
reset_n : in std_logic;
in_data : in std_logic_vector((PIX_WIDTH-1) downto 0);
in_fv : in std_logic;
in_dv : in std_logic;
out_data : out std_logic_vector (PIX_WIDTH-1 downto 0);
out_fv : out std_logic;
out_dv : out std_logic;
enable_i : in std_logic;
widthimg_i : in std_logic_vector(15 downto 0)
);
end harris_wrapper;
architecture arch of harris_wrapper is
begin
end arch;
|
architecture rtl of fifo is
begin
process begin
report "hello"
severity FAILURE;
report "hello"
severity FAILURE;
end process;
end architecture rtl;
|
-- IT Tijuana, NetList-FPGA-Optimizer 0.01 (printed on 2016-05-12.10:16:56)
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.all;
USE IEEE.NUMERIC_STD.all;
ENTITY mesahb_hype_entity IS
PORT (
reset, clk: IN std_logic;
input1, input2, input3, input4, input5: IN unsigned(0 TO 3);
output1, output2: OUT unsigned(0 TO 4));
END mesahb_hype_entity;
ARCHITECTURE mesahb_hype_description OF mesahb_hype_entity IS
SIGNAL current_state : unsigned(0 TO 7) := "00000000";
SHARED VARIABLE register1: unsigned(0 TO 4) := "00000";
SHARED VARIABLE register2: unsigned(0 TO 4) := "00000";
SHARED VARIABLE register3: unsigned(0 TO 4) := "00000";
BEGIN
moore_machine: PROCESS(clk, reset)
BEGIN
IF reset = '0' THEN
current_state <= "00000000";
ELSIF clk = '1' AND clk'event THEN
IF current_state < 4 THEN
current_state <= current_state + 1;
END IF;
END IF;
END PROCESS moore_machine;
operations: PROCESS(current_state)
BEGIN
CASE current_state IS
WHEN "00000001" =>
output1 <= input1 + 1;
register1 := input2 * 2;
WHEN "00000010" =>
register2 := input3 * 3;
register1 := register1 + 5;
WHEN "00000011" =>
register1 := ((NOT register1) + 1) XOR register1;
register2 := register2 + 9;
WHEN "00000100" =>
register2 := register2 * 11;
WHEN "00000101" =>
register3 := input4 * 12;
register2 := register2 + 14;
WHEN "00000110" =>
register2 := ((NOT register2) + 1) XOR register2;
register1 := register3 * register1;
WHEN "00000111" =>
register2 := register2 * 18;
WHEN "00001000" =>
register1 := register2 + register1;
register2 := input5 * 19;
WHEN "00001001" =>
register2 := register2 + 21;
WHEN "00001010" =>
register2 := register2 * 23;
WHEN "00001011" =>
register2 := register2 + 25;
WHEN "00001100" =>
output2 <= register1(0 TO 1) & register2(0 TO 2);
WHEN OTHERS =>
NULL;
END CASE;
END PROCESS operations;
END mesahb_hype_description; |
-- NEED RESULT: ARCH00609: Implicit library clause for WORK and STD exists passed
-------------------------------------------------------------------------------
--
-- Copyright (c) 1989 by Intermetrics, Inc.
-- All rights reserved.
--
-------------------------------------------------------------------------------
--
-- TEST NAME:
--
-- CT00609
--
-- AUTHOR:
--
-- G. Tominovich
--
-- TEST OBJECTIVES:
--
-- 11.2 (1)
-- 11.3 (1)
--
-- DESIGN UNIT ORDERING:
--
-- ENT00609_Test_Bench(ARCH00609_Test_Bench)
--
-- REVISION HISTORY:
--
-- 24-AUG-1987 - initial revision
--
-- NOTES:
--
-- self-checking
--
--
entity ENT00609_Test_Bench is
end ENT00609_Test_Bench ;
architecture ARCH00609_Test_Bench of ENT00609_Test_Bench is
begin
L1:
block
begin
process
constant C : STD.Standard.Boolean := true ;
begin
WORK.STANDARD_TYPES.test_report ( "ARCH00609" ,
"Implicit library clause for WORK and STD exists" ,
C ) ;
wait ;
end process ;
end block L1 ;
end ARCH00609_Test_Bench ;
--
|
-- megafunction wizard: %Altera PLL v14.0%
-- GENERATION: XML
-- pll.vhd
-- Generated using ACDS version 14.0 200 at 2015.05.15.17:45:52
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
entity pll is
port (
refclk : in std_logic := '0'; -- refclk.clk
rst : in std_logic := '0'; -- reset.reset
outclk_0 : out std_logic; -- outclk0.clk
outclk_1 : out std_logic; -- outclk1.clk
locked : out std_logic -- locked.export
);
end entity pll;
architecture rtl of pll is
component pll_0002 is
port (
refclk : in std_logic := 'X'; -- clk
rst : in std_logic := 'X'; -- reset
outclk_0 : out std_logic; -- clk
outclk_1 : out std_logic; -- clk
locked : out std_logic -- export
);
end component pll_0002;
begin
pll_inst : component pll_0002
port map (
refclk => refclk, -- refclk.clk
rst => rst, -- reset.reset
outclk_0 => outclk_0, -- outclk0.clk
outclk_1 => outclk_1, -- outclk1.clk
locked => locked -- locked.export
);
end architecture rtl; -- of pll
-- Retrieval info: <?xml version="1.0"?>
--<!--
-- Generated by Altera MegaWizard Launcher Utility version 1.0
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
-- ************************************************************
-- Copyright (C) 1991-2015 Altera Corporation
-- Any megafunction design, and related net list (encrypted or decrypted),
-- support information, device programming or simulation file, and any other
-- associated documentation or information provided by Altera or a partner
-- under Altera's Megafunction Partnership Program may be used only to
-- program PLD devices (but not masked PLD devices) from Altera. Any other
-- use of such megafunction design, net list, support information, device
-- programming or simulation file, or any other related documentation or
-- information is prohibited for any other purpose, including, but not
-- limited to modification, reverse engineering, de-compiling, or use with
-- any other silicon devices, unless such use is explicitly licensed under
-- a separate agreement with Altera or a megafunction partner. Title to
-- the intellectual property, including patents, copyrights, trademarks,
-- trade secrets, or maskworks, embodied in any such megafunction design,
-- net list, support information, device programming or simulation file, or
-- any other related documentation or information provided by Altera or a
-- megafunction partner, remains with Altera, the megafunction partner, or
-- their respective licensors. No other licenses, including any licenses
-- needed under any third party's intellectual property, are provided herein.
---->
-- Retrieval info: <instance entity-name="altera_pll" version="14.0" >
-- Retrieval info: <generic name="debug_print_output" value="false" />
-- Retrieval info: <generic name="debug_use_rbc_taf_method" value="false" />
-- Retrieval info: <generic name="device_family" value="Cyclone V" />
-- Retrieval info: <generic name="device" value="Unknown" />
-- Retrieval info: <generic name="gui_device_speed_grade" value="1" />
-- Retrieval info: <generic name="gui_pll_mode" value="Integer-N PLL" />
-- Retrieval info: <generic name="gui_reference_clock_frequency" value="50.0" />
-- Retrieval info: <generic name="gui_channel_spacing" value="0.0" />
-- Retrieval info: <generic name="gui_operation_mode" value="direct" />
-- Retrieval info: <generic name="gui_feedback_clock" value="Global Clock" />
-- Retrieval info: <generic name="gui_fractional_cout" value="32" />
-- Retrieval info: <generic name="gui_dsm_out_sel" value="1st_order" />
-- Retrieval info: <generic name="gui_use_locked" value="true" />
-- Retrieval info: <generic name="gui_en_adv_params" value="false" />
-- Retrieval info: <generic name="gui_number_of_clocks" value="2" />
-- Retrieval info: <generic name="gui_multiply_factor" value="1" />
-- Retrieval info: <generic name="gui_frac_multiply_factor" value="1" />
-- Retrieval info: <generic name="gui_divide_factor_n" value="1" />
-- Retrieval info: <generic name="gui_cascade_counter0" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency0" value="50.0" />
-- Retrieval info: <generic name="gui_divide_factor_c0" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency0" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units0" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift0" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg0" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift0" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle0" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter1" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency1" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c1" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency1" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units1" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift1" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg1" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift1" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle1" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter2" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency2" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c2" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency2" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units2" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift2" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg2" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift2" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle2" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter3" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency3" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c3" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency3" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units3" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift3" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg3" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift3" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle3" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter4" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency4" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c4" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency4" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units4" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift4" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg4" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift4" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle4" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter5" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency5" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c5" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency5" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units5" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift5" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg5" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift5" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle5" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter6" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency6" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c6" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency6" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units6" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift6" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg6" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift6" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle6" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter7" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency7" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c7" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency7" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units7" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift7" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg7" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift7" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle7" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter8" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency8" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c8" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency8" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units8" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift8" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg8" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift8" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle8" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter9" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency9" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c9" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency9" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units9" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift9" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg9" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift9" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle9" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter10" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency10" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c10" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency10" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units10" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift10" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg10" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift10" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle10" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter11" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency11" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c11" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency11" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units11" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift11" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg11" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift11" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle11" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter12" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency12" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c12" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency12" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units12" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift12" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg12" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift12" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle12" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter13" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency13" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c13" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency13" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units13" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift13" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg13" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift13" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle13" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter14" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency14" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c14" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency14" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units14" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift14" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg14" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift14" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle14" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter15" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency15" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c15" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency15" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units15" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift15" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg15" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift15" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle15" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter16" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency16" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c16" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency16" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units16" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift16" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg16" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift16" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle16" value="50" />
-- Retrieval info: <generic name="gui_cascade_counter17" value="false" />
-- Retrieval info: <generic name="gui_output_clock_frequency17" value="100.0" />
-- Retrieval info: <generic name="gui_divide_factor_c17" value="1" />
-- Retrieval info: <generic name="gui_actual_output_clock_frequency17" value="0 MHz" />
-- Retrieval info: <generic name="gui_ps_units17" value="ps" />
-- Retrieval info: <generic name="gui_phase_shift17" value="0" />
-- Retrieval info: <generic name="gui_phase_shift_deg17" value="0.0" />
-- Retrieval info: <generic name="gui_actual_phase_shift17" value="0" />
-- Retrieval info: <generic name="gui_duty_cycle17" value="50" />
-- Retrieval info: <generic name="gui_pll_auto_reset" value="Off" />
-- Retrieval info: <generic name="gui_pll_bandwidth_preset" value="Auto" />
-- Retrieval info: <generic name="gui_en_reconf" value="false" />
-- Retrieval info: <generic name="gui_en_dps_ports" value="false" />
-- Retrieval info: <generic name="gui_en_phout_ports" value="false" />
-- Retrieval info: <generic name="gui_phout_division" value="1" />
-- Retrieval info: <generic name="gui_en_lvds_ports" value="false" />
-- Retrieval info: <generic name="gui_mif_generate" value="false" />
-- Retrieval info: <generic name="gui_enable_mif_dps" value="false" />
-- Retrieval info: <generic name="gui_dps_cntr" value="C0" />
-- Retrieval info: <generic name="gui_dps_num" value="1" />
-- Retrieval info: <generic name="gui_dps_dir" value="Positive" />
-- Retrieval info: <generic name="gui_refclk_switch" value="false" />
-- Retrieval info: <generic name="gui_refclk1_frequency" value="100.0" />
-- Retrieval info: <generic name="gui_switchover_mode" value="Automatic Switchover" />
-- Retrieval info: <generic name="gui_switchover_delay" value="0" />
-- Retrieval info: <generic name="gui_active_clk" value="false" />
-- Retrieval info: <generic name="gui_clk_bad" value="false" />
-- Retrieval info: <generic name="gui_enable_cascade_out" value="false" />
-- Retrieval info: <generic name="gui_cascade_outclk_index" value="0" />
-- Retrieval info: <generic name="gui_enable_cascade_in" value="false" />
-- Retrieval info: <generic name="gui_pll_cascading_mode" value="Create an adjpllin signal to connect with an upstream PLL" />
-- Retrieval info: <generic name="AUTO_REFCLK_CLOCK_RATE" value="-1" />
-- Retrieval info: </instance>
-- IPFS_FILES : pll.vho
-- RELATED_FILES: pll.vhd, pll_0002.v
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2878.vhd,v 1.2 2001-10-26 16:30:23 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c02s01b00x00p06n07i02878ent IS
-- Failure_here : Overloading of a non-existant operator
function "eor" (k,m:real) return real is
begin
end;
END c02s01b00x00p06n07i02878ent;
ARCHITECTURE c02s01b00x00p06n07i02878arch OF c02s01b00x00p06n07i02878ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c02s01b00x00p06n07i02878 - The operator symbol used is illegal."
severity ERROR;
wait;
END PROCESS TESTING;
END c02s01b00x00p06n07i02878arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2878.vhd,v 1.2 2001-10-26 16:30:23 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c02s01b00x00p06n07i02878ent IS
-- Failure_here : Overloading of a non-existant operator
function "eor" (k,m:real) return real is
begin
end;
END c02s01b00x00p06n07i02878ent;
ARCHITECTURE c02s01b00x00p06n07i02878arch OF c02s01b00x00p06n07i02878ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c02s01b00x00p06n07i02878 - The operator symbol used is illegal."
severity ERROR;
wait;
END PROCESS TESTING;
END c02s01b00x00p06n07i02878arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2878.vhd,v 1.2 2001-10-26 16:30:23 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c02s01b00x00p06n07i02878ent IS
-- Failure_here : Overloading of a non-existant operator
function "eor" (k,m:real) return real is
begin
end;
END c02s01b00x00p06n07i02878ent;
ARCHITECTURE c02s01b00x00p06n07i02878arch OF c02s01b00x00p06n07i02878ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c02s01b00x00p06n07i02878 - The operator symbol used is illegal."
severity ERROR;
wait;
END PROCESS TESTING;
END c02s01b00x00p06n07i02878arch;
|
-- -----------------------------------------------------------------------
--
-- Syntiac VHDL support files.
--
-- -----------------------------------------------------------------------
-- Copyright 2005-2018 by Peter Wendrich ([email protected])
-- http://www.syntiac.com
--
-- This source file is free software: you can redistribute it and/or modify
-- it under the terms of the GNU Lesser General Public License as published
-- by the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- This source file is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program. If not, see <http://www.gnu.org/licenses/>.
--
-- -----------------------------------------------------------------------
-- Quad 2-input NAND gate
-- -----------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.numeric_std.ALL;
use work.ttl_pkg.all;
-- -----------------------------------------------------------------------
entity ttl_7400 is
generic (
latency : integer := 1
);
port (
emuclk : in std_logic;
p1 : in ttl_t;
p2 : in ttl_t;
p3 : out ttl_t;
p4 : in ttl_t;
p5 : in ttl_t;
p6 : out ttl_t;
p8 : out ttl_t;
p9 : in ttl_t;
p10 : in ttl_t;
p11 : out ttl_t;
p12 : in ttl_t;
p13 : in ttl_t
);
end entity;
architecture rtl of ttl_7400 is
signal p3_loc : ttl_t;
signal p6_loc : ttl_t;
signal p8_loc : ttl_t;
signal p11_loc : ttl_t;
begin
p3_latency_inst : entity work.ttl_latency
generic map (latency => latency)
port map (clk => emuclk, d => p3_loc, q => p3);
p6_latency_inst : entity work.ttl_latency
generic map (latency => latency)
port map (clk => emuclk, d => p6_loc, q => p6);
p8_latency_inst : entity work.ttl_latency
generic map (latency => latency)
port map (clk => emuclk, d => p8_loc, q => p8);
p11_latency_inst : entity work.ttl_latency
generic map (latency => latency)
port map (clk => emuclk, d => p11_loc, q => p11);
p3_loc <= p1 nand p2;
p6_loc <= p4 nand p5;
p8_loc <= p9 nand p10;
p11_loc <= p12 nand p13;
end architecture;
|
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
entity MEMCELL is
port (
A, B, NRCK, CLOAD, NCCLR: in std_logic;
O: out std_logic
);
end MEMCELL;
architecture MEMCELL0 of MEMCELL is
component D_TRIGER
port
(
D, CLK, NRST, NST: in std_logic;
Q, NQ: out std_logic
);
end component;
component T_TRIGER
port
(
T, NRST, NST: in std_logic;
Q: out std_logic
);
end component;
signal d_q, d_nq: std_logic;
signal t_NS, t_NR: std_logic;
signal const_0: std_logic := '0';
signal const_1: std_logic := '1';
begin
D: D_TRIGER port map(D=>A, CLK=>NRCK, Q=>d_q, NQ=>d_nq, NRST=>const_1, NST=>const_1);
t_NS <= not (d_q and CLOAD);
t_NR <= not ((d_nq and CLOAD) or not NCCLR);
T: T_TRIGER port map(T=>B, NST=>t_NS, NRST=>t_NR, Q=>O);
end; |
-- -*- vhdl -*-
-------------------------------------------------------------------------------
-- Copyright (c) 2012, The CARPE Project, All rights reserved. --
-- See the AUTHORS file for individual contributors. --
-- --
-- Copyright and related rights are licensed under the Solderpad --
-- Hardware License, Version 0.51 (the "License"); you may not use this --
-- file except in compliance with the License. You may obtain a copy of --
-- the License at http://solderpad.org/licenses/SHL-0.51. --
-- --
-- Unless required by applicable law or agreed to in writing, software, --
-- hardware and materials distributed under this License is distributed --
-- on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, --
-- either express or implied. See the License for the specific language --
-- governing permissions and limitations under the License. --
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
architecture rtl of mul_inferred is
type comb_type is record
src1_tmp : std_ulogic_vector(src1_bits downto 0);
src2_tmp : std_ulogic_vector(src2_bits downto 0);
result_tmp : std_ulogic_vector(src1_bits+src2_bits+1 downto 0);
end record;
signal c : comb_type;
begin
c.src1_tmp <= (src1(src1_bits-1) and not unsgnd) & src1;
c.src2_tmp <= (src2(src2_bits-1) and not unsgnd) & src2;
c.result_tmp <= std_ulogic_vector(signed(c.src1_tmp) * signed(c.src2_tmp));
result <= c.result_tmp(src1_bits+src2_bits-1 downto 0);
end;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
-- Copyright (C) 2015, Cobham Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: eth_rstgen
-- File: eth_rstgen.vhd
-- Author: Jiri Gaisler - Gaisler Research
-- Description: Reset generation with glitch filter
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
entity eth_rstgen is
generic (acthigh : integer := 0);
port (
rstin : in std_ulogic;
clk : in std_ulogic;
clklock : in std_ulogic;
rstout : out std_ulogic;
rstoutraw : out std_ulogic
);
end;
architecture rtl of eth_rstgen is
signal r : std_logic_vector(4 downto 0);
signal rst : std_ulogic;
attribute equivalent_register_removal : string;
attribute keep : string;
attribute equivalent_register_removal of r : signal is "no";
attribute equivalent_register_removal of rst : signal is "no";
attribute keep of r : signal is "true";
attribute keep of rst : signal is "true";
begin
rst <= not rstin when acthigh = 1 else rstin;
rstoutraw <= rst;
reg1 : process (clk, rst) begin
if rising_edge(clk) then
r <= r(3 downto 0) & clklock;
rstout <= r(4) and r(3) and r(2);
end if;
if rst = '0' then r <= "00000"; rstout <= '0'; end if;
end process;
end;
|
library ieee;
use ieee.std_logic_1164.all;
entity recv is
port (
rst : std_logic;
clk : std_logic;
rx : std_logic;
byte : out std_logic_vector (7 downto 0);
b_err : out std_logic;
b_en : out std_logic);
end recv;
architecture behav of recv
is
type state_t is
(s_wait, s0, s1, s2, s3, s4, s5, s6, s7, s_parity, s_stop);
signal state: state_t;
signal parity: std_logic;
signal err : std_logic;
signal en : std_logic;
begin
process (clk) is
begin
if rising_edge(clk) then
if rst = '1' then
state <= s_wait;
err <= '0';
en <= '0';
else
en <= '0';
case state is
when s_wait =>
if rx = '0' then
state <= s0;
err <= '0';
parity <= '0';
end if;
when s0 =>
byte (0) <= rx;
parity <= parity xor rx;
state <= s1;
when s1 =>
byte (1) <= rx;
parity <= parity xor rx;
state <= s2;
when s2 =>
byte (2) <= rx;
parity <= parity xor rx;
state <= s3;
when s3 =>
byte (3) <= rx;
parity <= parity xor rx;
state <= s4;
when s4 =>
byte (4) <= rx;
parity <= parity xor rx;
state <= s5;
when s5 =>
byte (5) <= rx;
parity <= parity xor rx;
state <= s6;
when s6 =>
byte (6) <= rx;
parity <= parity xor rx;
state <= s7;
when s7 =>
byte (7) <= rx;
parity <= parity xor rx;
state <= s_parity;
when s_parity =>
if rx /= parity then
err <= '1';
end if;
state <= s_stop;
when s_stop =>
if rx /= '1' then
err <= '1';
end if;
en <= '1';
state <= s_wait;
end case;
end if;
end if;
end process;
b_en <= en;
b_err <= err;
--psl default clock is rising_edge(clk);
--psl restrict {rst;(not rst)[*]};
assert rst = '1' or err /= '1' report "parity error" severity error;
end behav;
|
--------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 17:32:17 07/10/05
-- Design Name:
-- Module Name: sub_to_adder - Behavioral
-- Project Name:
-- Target Device:
-- Tool versions:
-- Description:
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
--------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
---- Uncomment the following library declaration if instantiating
---- any Xilinx primitives in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity sub_to_adder is
Port ( pixel_in1 : in std_logic_vector(8 downto 0);
pixel_in2 : in std_logic_vector(8 downto 0);
pixel_in3 : in std_logic_vector(8 downto 0);
pixel_in4 : in std_logic_vector(8 downto 0);
pixel_in5 : in std_logic_vector(8 downto 0);
pixel_in6 : in std_logic_vector(8 downto 0);
adder_out : out std_logic_vector(10 downto 0));
end sub_to_adder;
architecture Behavioral of sub_to_adder is
component sub_abs_component
Port ( pixel_in1 : in std_logic_vector(8 downto 0);
pixel_in2 : in std_logic_vector(8 downto 0);
sub_abs_out : out std_logic_vector(8 downto 0));
end component;
component combination
port( x1 : in std_logic_vector(8 downto 0);
x2 : in std_logic_vector(8 downto 0);
x3 : in std_logic_vector(8 downto 0);
-- x4_1 : in std_logic_vector(8 downto 0);
-- x5_1 : in std_logic_vector(8 downto 0);
Output : out std_logic_vector(10 downto 0));
end component;
signal A : std_logic_vector(8 downto 0);
signal B : std_logic_vector(8 downto 0);
signal C : std_logic_vector(8 downto 0);
begin
element1: sub_abs_component port map(
pixel_in1,
pixel_in2,
A );
element2: sub_abs_component port map(
pixel_in3,
pixel_in4,
B);
element3: sub_abs_component port map(
pixel_in5,
pixel_in6,
C);
element4: combination port map(
A,
B,
C,
adder_out);
end Behavioral;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
------------------------------------
--BCD TO GREY DECODER
------------------------------------
entity grey is
port (
si : in std_logic_vector(2 downto 0);
so : out std_logic_vector(2 downto 0)
);
end entity;
architecture arch of grey is
signal nsi :std_logic_vector(2 downto 0);
signal n1, n2, n3, n4, n5, n6, n7 : std_logic;
begin
nsi <= not si;
--1,2,5,6
n1<= nsi(2) and nsi(1) and si(0);
n2<= nsi(2) and si(1) and nsi(0);
n3<= nsi(2) and si(1) and si(0);
n4<= si(2) and nsi(1) and nsi(0);
n5<= si(2) and nsi(1) and si(0);
n6<= si(2) and si(1) and nsi(0);
n7<= si(2) and si(1) and si(0);
so(0) <= n1 or n2 or n5 or n6;
so(1) <= n2 or n3 or n4 or n5;
so(2) <= n4 or n5 or n6 or n7;
end architecture;
|
--------------------------------------------------------------------------------
--
-- FIFO Generator Core Demo Testbench
--
--------------------------------------------------------------------------------
--
-- (c) Copyright 2009 - 2010 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--------------------------------------------------------------------------------
--
-- Filename: system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_tb.vhd
--
-- Description:
-- This is the demo testbench top file for fifo_generator core.
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY ieee;
LIBRARY std;
USE ieee.std_logic_1164.ALL;
USE ieee.std_logic_unsigned.ALL;
USE IEEE.std_logic_arith.ALL;
USE IEEE.std_logic_misc.ALL;
USE ieee.numeric_std.ALL;
USE ieee.std_logic_textio.ALL;
USE std.textio.ALL;
LIBRARY work;
USE work.system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_pkg.ALL;
ENTITY system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_tb IS
END ENTITY;
ARCHITECTURE system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_arch OF system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_tb IS
SIGNAL status : STD_LOGIC_VECTOR(7 DOWNTO 0) := "00000000";
SIGNAL wr_clk : STD_LOGIC;
SIGNAL reset : STD_LOGIC;
SIGNAL sim_done : STD_LOGIC := '0';
SIGNAL end_of_sim : STD_LOGIC_VECTOR(4 DOWNTO 0) := (OTHERS => '0');
-- Write and Read clock periods
CONSTANT wr_clk_period_by_2 : TIME := 100 ns;
-- Procedures to display strings
PROCEDURE disp_str(CONSTANT str:IN STRING) IS
variable dp_l : line := null;
BEGIN
write(dp_l,str);
writeline(output,dp_l);
END PROCEDURE;
PROCEDURE disp_hex(signal hex:IN STD_LOGIC_VECTOR(7 DOWNTO 0)) IS
variable dp_lx : line := null;
BEGIN
hwrite(dp_lx,hex);
writeline(output,dp_lx);
END PROCEDURE;
BEGIN
-- Generation of clock
PROCESS BEGIN
WAIT FOR 110 ns; -- Wait for global reset
WHILE 1 = 1 LOOP
wr_clk <= '0';
WAIT FOR wr_clk_period_by_2;
wr_clk <= '1';
WAIT FOR wr_clk_period_by_2;
END LOOP;
END PROCESS;
-- Generation of Reset
PROCESS BEGIN
reset <= '1';
WAIT FOR 2000 ns;
reset <= '0';
WAIT;
END PROCESS;
-- Error message printing based on STATUS signal from system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_synth
PROCESS(status)
BEGIN
IF(status /= "0" AND status /= "1") THEN
disp_str("STATUS:");
disp_hex(status);
END IF;
IF(status(7) = '1') THEN
assert false
report "Data mismatch found"
severity error;
END IF;
IF(status(1) = '1') THEN
END IF;
IF(status(5) = '1') THEN
assert false
report "Empty flag Mismatch/timeout"
severity error;
END IF;
IF(status(6) = '1') THEN
assert false
report "Full Flag Mismatch/timeout"
severity error;
END IF;
END PROCESS;
PROCESS
BEGIN
wait until sim_done = '1';
IF(status /= "0" AND status /= "1") THEN
assert false
report "Simulation failed"
severity failure;
ELSE
assert false
report "Simulation Complete"
severity failure;
END IF;
END PROCESS;
PROCESS
BEGIN
wait for 100 ms;
assert false
report "Test bench timed out"
severity failure;
END PROCESS;
-- Instance of system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_synth
system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_synth_inst:system_axi_interconnect_1_wrapper_fifo_generator_v9_1_2_synth
GENERIC MAP(
FREEZEON_ERROR => 0,
TB_STOP_CNT => 2,
TB_SEED => 40
)
PORT MAP(
CLK => wr_clk,
RESET => reset,
SIM_DONE => sim_done,
STATUS => status
);
END ARCHITECTURE;
|
--------------------------------------------------------------------------------
--
-- DIST MEM GEN Core - Synthesizable Testbench
--
--------------------------------------------------------------------------------
--
-- (c) Copyright 2006_3010 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--------------------------------------------------------------------------------
--
-- Filename: Instruction_Memory_tb_synth.vhd
--
-- Description:
-- Synthesizable Testbench
--------------------------------------------------------------------------------
-- Author: IP Solutions Division
--
-- History: Sep 12, 2011 - First Release
--------------------------------------------------------------------------------
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
USE IEEE.STD_LOGIC_ARITH.ALL;
USE IEEE.NUMERIC_STD.ALL;
USE IEEE.STD_LOGIC_MISC.ALL;
LIBRARY STD;
USE STD.TEXTIO.ALL;
--LIBRARY unisim;
--USE unisim.vcomponents.ALL;
LIBRARY work;
USE work.ALL;
USE work.Instruction_Memory_TB_PKG.ALL;
ENTITY Instruction_Memory_tb_synth IS
GENERIC (
C_ROM_SYNTH : INTEGER := 0
);
PORT(
CLK_IN : IN STD_LOGIC;
RESET_IN : IN STD_LOGIC;
STATUS : OUT STD_LOGIC_VECTOR(8 DOWNTO 0) := (OTHERS => '0') --ERROR STATUS OUT OF FPGA
);
END Instruction_Memory_tb_synth;
ARCHITECTURE Instruction_Memory_synth_ARCH OF Instruction_Memory_tb_synth IS
COMPONENT Instruction_Memory_exdes
PORT (
SPO : OUT STD_LOGIC_VECTOR(32-1 downto 0);
A : IN STD_LOGIC_VECTOR(14-1-(4*0*boolean'pos(14>4)) downto 0)
:= (OTHERS => '0')
);
END COMPONENT;
CONSTANT STIM_CNT : INTEGER := if_then_else(C_ROM_SYNTH = 0, 8, 22);
SIGNAL CLKA: STD_LOGIC := '0';
SIGNAL RSTA: STD_LOGIC := '0';
SIGNAL STIMULUS_FLOW : STD_LOGIC_VECTOR(22 DOWNTO 0) := (OTHERS =>'0');
SIGNAL clk_in_i : STD_LOGIC;
SIGNAL RESET_SYNC_R1 : STD_LOGIC:='1';
SIGNAL RESET_SYNC_R2 : STD_LOGIC:='1';
SIGNAL RESET_SYNC_R3 : STD_LOGIC:='1';
SIGNAL ADDR: STD_LOGIC_VECTOR(13 DOWNTO 0) := (OTHERS => '0');
SIGNAL ADDR_R: STD_LOGIC_VECTOR(13 DOWNTO 0) := (OTHERS => '0');
SIGNAL SPO: STD_LOGIC_VECTOR(31 DOWNTO 0) := (OTHERS => '0');
SIGNAL SPO_R: STD_LOGIC_VECTOR(31 DOWNTO 0) := (OTHERS => '0');
SIGNAL ITER_R0 : STD_LOGIC := '0';
SIGNAL ITER_R1 : STD_LOGIC := '0';
SIGNAL ITER_R2 : STD_LOGIC := '0';
SIGNAL ISSUE_FLAG : STD_LOGIC_VECTOR(7 DOWNTO 0) := (OTHERS => '0');
SIGNAL ISSUE_FLAG_STATUS : STD_LOGIC_VECTOR(7 DOWNTO 0) := (OTHERS => '0');
BEGIN
clk_in_i <= CLK_IN;
CLKA <= clk_in_i;
RSTA <= RESET_SYNC_R3 AFTER 50 ns;
PROCESS(clk_in_i)
BEGIN
IF(RISING_EDGE(clk_in_i)) THEN
RESET_SYNC_R1 <= RESET_IN;
RESET_SYNC_R2 <= RESET_SYNC_R1;
RESET_SYNC_R3 <= RESET_SYNC_R2;
END IF;
END PROCESS;
PROCESS(CLKA)
BEGIN
IF(RISING_EDGE(CLKA)) THEN
IF(RESET_SYNC_R3='1') THEN
ISSUE_FLAG_STATUS<= (OTHERS => '0');
ELSE
ISSUE_FLAG_STATUS <= ISSUE_FLAG_STATUS OR ISSUE_FLAG;
END IF;
END IF;
END PROCESS;
STATUS(7 DOWNTO 0) <= ISSUE_FLAG_STATUS;
Instruction_Memory_TB_STIM_GEN_INST:ENTITY work.Instruction_Memory_TB_STIM_GEN
GENERIC MAP( C_ROM_SYNTH => C_ROM_SYNTH
)
PORT MAP(
CLK => clk_in_i,
RST => RSTA,
A => ADDR,
DATA_IN => SPO_R,
STATUS => ISSUE_FLAG(0)
);
PROCESS(CLKA)
BEGIN
IF(RISING_EDGE(CLKA)) THEN
IF(RESET_SYNC_R3='1') THEN
STATUS(8) <= '0';
iter_r2 <= '0';
iter_r1 <= '0';
iter_r0 <= '0';
ELSE
STATUS(8) <= iter_r2;
iter_r2 <= iter_r1;
iter_r1 <= iter_r0;
iter_r0 <= STIMULUS_FLOW(STIM_CNT);
END IF;
END IF;
END PROCESS;
PROCESS(CLKA)
BEGIN
IF(RISING_EDGE(CLKA)) THEN
IF(RESET_SYNC_R3='1') THEN
STIMULUS_FLOW <= (OTHERS => '0');
ELSIF(ADDR(0)='1') THEN
STIMULUS_FLOW <= STIMULUS_FLOW + 1;
END IF;
END IF;
END PROCESS;
PROCESS(CLKA)
BEGIN
IF(RISING_EDGE(CLKA)) THEN
IF(RESET_SYNC_R3='1') THEN
SPO_R <= (OTHERS=>'0') AFTER 50 ns;
ELSE
SPO_R <= SPO AFTER 50 ns;
END IF;
END IF;
END PROCESS;
PROCESS(CLKA)
BEGIN
IF(RISING_EDGE(CLKA)) THEN
IF(RESET_SYNC_R3='1') THEN
ADDR_R <= (OTHERS=> '0') AFTER 50 ns;
ELSE
ADDR_R <= ADDR AFTER 50 ns;
END IF;
END IF;
END PROCESS;
DMG_PORT: Instruction_Memory_exdes PORT MAP (
SPO => SPO,
A => ADDR_R
);
END ARCHITECTURE;
|
-------------------------------------------------------------------------------
--! @file field_bus_timing.vhd
--! @author Johannes Walter <[email protected]>
--! @copyright CERN TE-EPC-CCE
--! @date 2014-11-09
--! @brief Field-bus timing synchronization.
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.cf_pkg.all;
--! @brief Entity declaration of field_bus_timing
--! @details
--! Synchronize internal timing to COMMAND 0 of field-bus transmission.
entity field_bus_timing is
port (
--! @name Clock and resets
--! @{
--! System clock
clk_i : in std_ulogic;
--! Asynchronous active-low reset
rst_asy_n_i : in std_ulogic;
--! Synchronous active-high reset
rst_syn_i : in std_ulogic;
--! @}
--! @name Timing signals
--! @{
--! Cycle synchronization marker
cmd_0_i : in std_ulogic;
--! Millisecond strobe
ms_strobe_o : out std_ulogic;
--! Millisecond period (nominally 40000 * 25 ns clock cycles)
ms_period_i : in std_ulogic_vector(15 downto 0);
--! Millisecond number (0-19)
ms_number_o : out std_ulogic_vector(0 to 19);
--! Field-bus cycle period in 25 ns clock cycles (nominally 800000)
cycle_period_o : out std_ulogic_vector(19 downto 0));
--! @}
end entity field_bus_timing;
--! RTL implementation of field_bus_timing
architecture rtl of field_bus_timing is
---------------------------------------------------------------------------
--! @name Internal Registers
---------------------------------------------------------------------------
--! @{
signal ms_period : std_ulogic_vector(15 downto 0);
signal ms_number : unsigned(15 downto 0);
signal ms_strobe_dlyd : std_ulogic;
--! @}
---------------------------------------------------------------------------
--! @name Internal Wires
---------------------------------------------------------------------------
--! @{
signal ms_strobe : std_ulogic;
signal cmd_0 : std_ulogic;
--! @}
begin -- architecture rtl
---------------------------------------------------------------------------
-- Outputs
---------------------------------------------------------------------------
ms_number_o(00) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 00) else '0';
ms_number_o(01) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 01) else '0';
ms_number_o(02) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 02) else '0';
ms_number_o(03) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 03) else '0';
ms_number_o(04) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 04) else '0';
ms_number_o(05) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 05) else '0';
ms_number_o(06) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 06) else '0';
ms_number_o(07) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 07) else '0';
ms_number_o(08) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 08) else '0';
ms_number_o(09) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 09) else '0';
ms_number_o(10) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 10) else '0';
ms_number_o(11) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 11) else '0';
ms_number_o(12) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 12) else '0';
ms_number_o(13) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 13) else '0';
ms_number_o(14) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 14) else '0';
ms_number_o(15) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 15) else '0';
ms_number_o(16) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 16) else '0';
ms_number_o(17) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 17) else '0';
ms_number_o(18) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 18) else '0';
ms_number_o(19) <= '1' when (ms_strobe_dlyd = '1' and to_integer(ms_number) = 19) else '0';
ms_strobe_o <= ms_strobe_dlyd;
---------------------------------------------------------------------------
-- Instances
---------------------------------------------------------------------------
--! Detect rising edges on COMMAND 0 input signal
edge_detector_inst : entity work.edge_detector
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
en_i => '1',
ack_i => '0',
sig_i => cmd_0_i,
edge_o => cmd_0);
--! Millisecond strobe generator
strobe_gen_inst : entity work.strobe_generator
generic map (
init_value_g => 0,
bit_width_g => 16)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
en_i => '1',
period_i => ms_period,
pre_i => cmd_0,
pre_value_i => cmd_0_pre_value_c,
strobe_o => ms_strobe);
--! Field-bus cycle period counter
stop_watch_inst : entity work.stop_watch
generic map (
bit_width_g => 20)
port map (
clk_i => clk_i,
rst_asy_n_i => rst_asy_n_i,
rst_syn_i => rst_syn_i,
en_i => '1',
sample_i => cmd_0,
value_o => cycle_period_o);
---------------------------------------------------------------------------
-- Registers
---------------------------------------------------------------------------
regs : process (clk_i, rst_asy_n_i) is
procedure reset is
begin
ms_period <= ms_period_c;
ms_number <= to_unsigned(0, ms_number'length);
ms_strobe_dlyd <= '0';
end procedure reset;
begin -- process regs
if rst_asy_n_i = '0' then
reset;
elsif rising_edge(clk_i) then
if rst_syn_i = '1' then
reset;
else
ms_strobe_dlyd <= ms_strobe;
if cmd_0 = '1' then
ms_number <= to_unsigned(0, ms_number'length);
elsif ms_strobe = '1' then
if to_integer(ms_number) < 19 then
ms_number <= ms_number + 1;
else
ms_number <= to_unsigned(0, ms_number'length);
end if;
end if;
if ms_strobe = '1' and to_integer(ms_number) = 2 then
ms_period <= ms_period_i;
end if;
end if;
end if;
end process regs;
end architecture rtl;
|
--
-- Knobs Galore - a free phase distortion synthesizer
-- Copyright (C) 2015 Ilmo Euro
--
-- This program is free software: you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program. If not, see <http://www.gnu.org/licenses/>.
--
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use work.common.all;
entity env_gen is
port (EN: in std_logic
;CLK: in std_logic
;GATE: in std_logic
;MIN: in ctl_signal
;MAX: in ctl_signal
;A_RATE: in ctl_signal
;D_RATE: in ctl_signal
;S_LVL: in ctl_signal
;R_RATE: in ctl_signal
;ENV_IN: in time_signal
;ENV_OUT: out time_signal
;STAGE_IN: in adsr_stage
;STAGE_OUT: out adsr_stage
;PREV_GATE_IN: in std_logic
;PREV_GATE_OUT: out std_logic
)
;
end entity;
architecture env_gen_impl of env_gen is
constant zero_f : time_signal := (others => '0');
constant zero_c : ctl_signal := (others => '0');
constant time_max_val : time_signal := to_unsigned(time_max - 1, time_bits);
constant bit_diff : natural := time_bits - ctl_bits - 1;
constant zero_f_min_c : unsigned(bit_diff downto 0) := (others => '0');
signal env_out_buf: time_signal := (others => '0');
signal stage_out_buf: adsr_stage := adsr_rel;
signal prev_gate_out_buf: std_logic := '0';
begin
process(CLK)
variable next_env_out: time_signal;
variable next_stage_out: adsr_stage;
begin
if EN = '1' and rising_edge(CLK) then
next_env_out := ENV_IN;
next_stage_out := STAGE_IN;
case next_stage_out is
when adsr_attack =>
if ENV_IN >= (MAX & zero_f_min_c) - A_RATE then
next_env_out := MAX & zero_f_min_c;
next_stage_out := adsr_decay;
else
next_env_out := ENV_IN + A_RATE;
end if;
when adsr_decay =>
if ENV_IN < (S_LVL & zero_f_min_c) + D_RATE then
next_env_out := S_LVL & zero_f_min_c;
next_stage_out := adsr_sustain;
else
next_env_out := ENV_IN - D_RATE;
end if;
when adsr_sustain =>
next_env_out := ENV_IN;
when adsr_rel =>
if ENV_IN < (MIN & zero_f_min_c) + R_RATE then
next_env_out := MIN & zero_f_min_c;
else
next_env_out := ENV_IN - R_RATE;
end if;
when others => -- non-binary values
null;
end case;
if PREV_GATE_IN = '0' and GATE = '1' then
next_stage_out := adsr_attack;
elsif PREV_GATE_IN = '1' and GATE = '0' then
next_stage_out := adsr_rel;
end if;
env_out_buf <= next_env_out;
stage_out_buf <= next_stage_out;
prev_gate_out_buf <= GATE;
end if;
end process;
ENV_OUT <= env_out_buf;
STAGE_OUT <= stage_out_buf;
PREV_GATE_OUT <= prev_gate_out_buf;
end architecture;
|
--
-- Knobs Galore - a free phase distortion synthesizer
-- Copyright (C) 2015 Ilmo Euro
--
-- This program is free software: you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program. If not, see <http://www.gnu.org/licenses/>.
--
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use work.common.all;
entity env_gen is
port (EN: in std_logic
;CLK: in std_logic
;GATE: in std_logic
;MIN: in ctl_signal
;MAX: in ctl_signal
;A_RATE: in ctl_signal
;D_RATE: in ctl_signal
;S_LVL: in ctl_signal
;R_RATE: in ctl_signal
;ENV_IN: in time_signal
;ENV_OUT: out time_signal
;STAGE_IN: in adsr_stage
;STAGE_OUT: out adsr_stage
;PREV_GATE_IN: in std_logic
;PREV_GATE_OUT: out std_logic
)
;
end entity;
architecture env_gen_impl of env_gen is
constant zero_f : time_signal := (others => '0');
constant zero_c : ctl_signal := (others => '0');
constant time_max_val : time_signal := to_unsigned(time_max - 1, time_bits);
constant bit_diff : natural := time_bits - ctl_bits - 1;
constant zero_f_min_c : unsigned(bit_diff downto 0) := (others => '0');
signal env_out_buf: time_signal := (others => '0');
signal stage_out_buf: adsr_stage := adsr_rel;
signal prev_gate_out_buf: std_logic := '0';
begin
process(CLK)
variable next_env_out: time_signal;
variable next_stage_out: adsr_stage;
begin
if EN = '1' and rising_edge(CLK) then
next_env_out := ENV_IN;
next_stage_out := STAGE_IN;
case next_stage_out is
when adsr_attack =>
if ENV_IN >= (MAX & zero_f_min_c) - A_RATE then
next_env_out := MAX & zero_f_min_c;
next_stage_out := adsr_decay;
else
next_env_out := ENV_IN + A_RATE;
end if;
when adsr_decay =>
if ENV_IN < (S_LVL & zero_f_min_c) + D_RATE then
next_env_out := S_LVL & zero_f_min_c;
next_stage_out := adsr_sustain;
else
next_env_out := ENV_IN - D_RATE;
end if;
when adsr_sustain =>
next_env_out := ENV_IN;
when adsr_rel =>
if ENV_IN < (MIN & zero_f_min_c) + R_RATE then
next_env_out := MIN & zero_f_min_c;
else
next_env_out := ENV_IN - R_RATE;
end if;
when others => -- non-binary values
null;
end case;
if PREV_GATE_IN = '0' and GATE = '1' then
next_stage_out := adsr_attack;
elsif PREV_GATE_IN = '1' and GATE = '0' then
next_stage_out := adsr_rel;
end if;
env_out_buf <= next_env_out;
stage_out_buf <= next_stage_out;
prev_gate_out_buf <= GATE;
end if;
end process;
ENV_OUT <= env_out_buf;
STAGE_OUT <= stage_out_buf;
PREV_GATE_OUT <= prev_gate_out_buf;
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity test_v1_0_S00_AXI is
generic (
-- Users to add parameters here
-- User parameters ends
-- Do not modify the parameters beyond this line
-- Width of S_AXI data bus
C_S_AXI_DATA_WIDTH : integer := 32;
-- Width of S_AXI address bus
C_S_AXI_ADDR_WIDTH : integer := 7
);
port (
-- Users to add ports here
-- User ports ends
-- Do not modify the ports beyond this line
-- Global Clock Signal
S_AXI_ACLK : in std_logic;
-- Global Reset Signal. This Signal is Active LOW
S_AXI_ARESETN : in std_logic;
-- Write address (issued by master, acceped by Slave)
S_AXI_AWADDR : in std_logic_vector(C_S_AXI_ADDR_WIDTH-1 downto 0);
-- Write channel Protection type. This signal indicates the
-- privilege and security level of the transaction, and whether
-- the transaction is a data access or an instruction access.
S_AXI_AWPROT : in std_logic_vector(2 downto 0);
-- Write address valid. This signal indicates that the master signaling
-- valid write address and control information.
S_AXI_AWVALID : in std_logic;
-- Write address ready. This signal indicates that the slave is ready
-- to accept an address and associated control signals.
S_AXI_AWREADY : out std_logic;
-- Write data (issued by master, acceped by Slave)
S_AXI_WDATA : in std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
-- Write strobes. This signal indicates which byte lanes hold
-- valid data. There is one write strobe bit for each eight
-- bits of the write data bus.
S_AXI_WSTRB : in std_logic_vector((C_S_AXI_DATA_WIDTH/8)-1 downto 0);
-- Write valid. This signal indicates that valid write
-- data and strobes are available.
S_AXI_WVALID : in std_logic;
-- Write ready. This signal indicates that the slave
-- can accept the write data.
S_AXI_WREADY : out std_logic;
-- Write response. This signal indicates the status
-- of the write transaction.
S_AXI_BRESP : out std_logic_vector(1 downto 0);
-- Write response valid. This signal indicates that the channel
-- is signaling a valid write response.
S_AXI_BVALID : out std_logic;
-- Response ready. This signal indicates that the master
-- can accept a write response.
S_AXI_BREADY : in std_logic;
-- Read address (issued by master, acceped by Slave)
S_AXI_ARADDR : in std_logic_vector(C_S_AXI_ADDR_WIDTH-1 downto 0);
-- Protection type. This signal indicates the privilege
-- and security level of the transaction, and whether the
-- transaction is a data access or an instruction access.
S_AXI_ARPROT : in std_logic_vector(2 downto 0);
-- Read address valid. This signal indicates that the channel
-- is signaling valid read address and control information.
S_AXI_ARVALID : in std_logic;
-- Read address ready. This signal indicates that the slave is
-- ready to accept an address and associated control signals.
S_AXI_ARREADY : out std_logic;
-- Read data (issued by slave)
S_AXI_RDATA : out std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
-- Read response. This signal indicates the status of the
-- read transfer.
S_AXI_RRESP : out std_logic_vector(1 downto 0);
-- Read valid. This signal indicates that the channel is
-- signaling the required read data.
S_AXI_RVALID : out std_logic;
-- Read ready. This signal indicates that the master can
-- accept the read data and response information.
S_AXI_RREADY : in std_logic
);
end test_v1_0_S00_AXI;
architecture arch_imp of test_v1_0_S00_AXI is
-- AXI4LITE signals
signal axi_awaddr : std_logic_vector(C_S_AXI_ADDR_WIDTH-1 downto 0);
signal axi_awready : std_logic;
signal axi_wready : std_logic;
signal axi_bresp : std_logic_vector(1 downto 0);
signal axi_bvalid : std_logic;
signal axi_araddr : std_logic_vector(C_S_AXI_ADDR_WIDTH-1 downto 0);
signal axi_arready : std_logic;
signal axi_rdata : std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
signal axi_rresp : std_logic_vector(1 downto 0);
signal axi_rvalid : std_logic;
-- Example-specific design signals
-- local parameter for addressing 32 bit / 64 bit C_S_AXI_DATA_WIDTH
-- ADDR_LSB is used for addressing 32/64 bit registers/memories
-- ADDR_LSB = 2 for 32 bits (n downto 2)
-- ADDR_LSB = 3 for 64 bits (n downto 3)
constant ADDR_LSB : integer := (C_S_AXI_DATA_WIDTH/32)+ 1;
constant OPT_MEM_ADDR_BITS : integer := 4;
------------------------------------------------
---- Signals for user logic register space example
--------------------------------------------------
---- Number of Slave Registers 26
signal slv_reg1 :std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
signal slv_reg2 :std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
signal slv_reg3 :std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
signal slv_reg4 :std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
signal slv_reg_rden : std_logic;
signal slv_reg_wren : std_logic;
signal reg_data_out :std_logic_vector(C_S_AXI_DATA_WIDTH-1 downto 0);
signal byte_index : integer;
-- component version
constant COMPONENT_VERSION : std_logic_vector(31 downto 0) := x"16010100"; -- year, month, day, build number (one byte each)
alias a_test_control_register : std_logic_vector(31 downto 0) is slv_reg1(31 downto 0);
alias a_test_status_register : std_logic_vector(31 downto 0) is slv_reg4(31 downto 0);
alias a_test_enable : std_logic is slv_reg1(31);
alias a_test_enable_24 : std_logic is slv_reg1(24);
alias a_test_enable_23 : std_logic is slv_reg1(23);
alias a_test_enable_22 : std_logic is slv_reg1(22);
alias a_test_enable_21 : std_logic is slv_reg1(21);
alias a_test_enable_20 : std_logic is slv_reg1(20);
alias a_test_enable_19 : std_logic is slv_reg1(19);
alias a_test_enable_18 : std_logic is slv_reg1(18);
alias a_test_enable_17 : std_logic is slv_reg1(17);
alias a_test_enable_16 : std_logic is slv_reg1(16);
alias a_test_enable_15 : std_logic is slv_reg1(15);
alias a_test_enable_14 : std_logic is slv_reg1(14);
alias a_test_enable_13 : std_logic is slv_reg1(13);
alias a_test_enable_12 : std_logic is slv_reg1(12);
alias a_test_enable_11 : std_logic is slv_reg1(11);
alias a_test_enable_10 : std_logic is slv_reg1(10);
alias a_test_enable_9 : std_logic is slv_reg1(9);
alias a_test_enable_8 : std_logic is slv_reg1(8);
alias a_test_enable_7 : std_logic is slv_reg1(7);
alias a_test_enable_6 : std_logic is slv_reg1(6);
alias a_test_enable_5 : std_logic is slv_reg1(5);
alias a_test_enable_4 : std_logic is slv_reg1(4);
alias a_test_enable_3 : std_logic is slv_reg1(3);
alias a_test_enable_2 : std_logic is slv_reg1(2);
alias a_test_enable_1 : std_logic is slv_reg1(1);
alias a_test_enable_0 : std_logic is slv_reg1(0);
alias a_level_register : std_logic_vector(31 downto 0) is slv_reg2(31 downto 0);
alias a_to_register : std_logic_vector(0 to 31) is slv_reg3(0 to 31);
alias a_to : std_logic_vector(0 to 10) is slv_reg3(0 to 10);
alias a_level : std_logic_vector(10 downto 0) is slv_reg2(10 downto 0);
begin
-- I/O Connections assignments
S_AXI_AWREADY <= axi_awready;
S_AXI_WREADY <= axi_wready;
S_AXI_BRESP <= axi_bresp;
S_AXI_BVALID <= axi_bvalid;
S_AXI_ARREADY <= axi_arready;
S_AXI_RDATA <= axi_rdata;
S_AXI_RRESP <= axi_rresp;
S_AXI_RVALID <= axi_rvalid;
-- Implement axi_awready generation
-- axi_awready is asserted for one S_AXI_ACLK clock cycle when both
-- S_AXI_AWVALID and S_AXI_WVALID are asserted. axi_awready is
-- de-asserted when reset is low.
process (S_AXI_ACLK)
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
axi_awready <= '0';
else
if (axi_awready = '0' and S_AXI_AWVALID = '1' and S_AXI_WVALID = '1') then
-- slave is ready to accept write address when
-- there is a valid write address and write data
-- on the write address and data bus. This design
-- expects no outstanding transactions.
axi_awready <= '1';
else
axi_awready <= '0';
end if;
end if;
end if;
end process;
-- Implement axi_awaddr latching
-- This process is used to latch the address when both
-- S_AXI_AWVALID and S_AXI_WVALID are valid.
process (S_AXI_ACLK)
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
axi_awaddr <= (others => '0');
else
if (axi_awready = '0' and S_AXI_AWVALID = '1' and S_AXI_WVALID = '1') then
-- Write Address latching
axi_awaddr <= S_AXI_AWADDR;
end if;
end if;
end if;
end process;
-- Implement axi_wready generation
-- axi_wready is asserted for one S_AXI_ACLK clock cycle when both
-- S_AXI_AWVALID and S_AXI_WVALID are asserted. axi_wready is
-- de-asserted when reset is low.
process (S_AXI_ACLK)
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
axi_wready <= '0';
else
if (axi_wready = '0' and S_AXI_WVALID = '1' and S_AXI_AWVALID = '1') then
-- slave is ready to accept write data when
-- there is a valid write address and write data
-- on the write address and data bus. This design
-- expects no outstanding transactions.
axi_wready <= '1';
else
axi_wready <= '0';
end if;
end if;
end if;
end process;
-- Implement memory mapped register select and write logic generation
-- The write data is accepted and written to memory mapped registers when
-- axi_awready, S_AXI_WVALID, axi_wready and S_AXI_WVALID are asserted. Write strobes are used to
-- select byte enables of slave registers while writing.
-- These registers are cleared when reset (active low) is applied.
-- Slave register write enable is asserted when valid address and data are available
-- and the slave is ready to accept the write address and write data.
slv_reg_wren <= axi_wready and S_AXI_WVALID and axi_awready and S_AXI_AWVALID ;
process (S_AXI_ACLK)
variable loc_addr :std_logic_vector(OPT_MEM_ADDR_BITS downto 0);
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
slv_reg1 <= (others => '0');
slv_reg2 <= (others => '0');
else
loc_addr := axi_awaddr(ADDR_LSB + OPT_MEM_ADDR_BITS downto ADDR_LSB);
if (slv_reg_wren = '1') then
case loc_addr is
when b"00001" =>
for byte_index in 0 to (C_S_AXI_DATA_WIDTH/8-1) loop
if ( S_AXI_WSTRB(byte_index) = '1' ) then
-- Respective byte enables are asserted as per write strobes
-- slave registor 1
slv_reg1(byte_index*8+7 downto byte_index*8) <= S_AXI_WDATA(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when b"00010" =>
for byte_index in 0 to (C_S_AXI_DATA_WIDTH/8-1) loop
if ( S_AXI_WSTRB(byte_index) = '1' ) then
-- Respective byte enables are asserted as per write strobes
-- slave registor 13
slv_reg2(byte_index*8+7 downto byte_index*8) <= S_AXI_WDATA(byte_index*8+7 downto byte_index*8);
end if;
end loop;
when others =>
slv_reg1 <= slv_reg1;
slv_reg2 <= slv_reg2;
end case;
end if;
end if;
end if;
end process;
-- Implement write response logic generation
-- The write response and response valid signals are asserted by the slave
-- when axi_wready, S_AXI_WVALID, axi_wready and S_AXI_WVALID are asserted.
-- This marks the acceptance of address and indicates the status of
-- write transaction.
process (S_AXI_ACLK)
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
axi_bvalid <= '0';
axi_bresp <= "00"; --need to work more on the responses
else
if (axi_awready = '1' and S_AXI_AWVALID = '1' and axi_wready = '1' and S_AXI_WVALID = '1' and axi_bvalid = '0' ) then
axi_bvalid <= '1';
axi_bresp <= "00";
elsif (S_AXI_BREADY = '1' and axi_bvalid = '1') then --check if bready is asserted while bvalid is high)
axi_bvalid <= '0'; -- (there is a possibility that bready is always asserted high)
end if;
end if;
end if;
end process;
-- Implement axi_arready generation
-- axi_arready is asserted for one S_AXI_ACLK clock cycle when
-- S_AXI_ARVALID is asserted. axi_awready is
-- de-asserted when reset (active low) is asserted.
-- The read address is also latched when S_AXI_ARVALID is
-- asserted. axi_araddr is reset to zero on reset assertion.
process (S_AXI_ACLK)
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
axi_arready <= '0';
axi_araddr <= (others => '1');
else
if (axi_arready = '0' and S_AXI_ARVALID = '1') then
-- indicates that the slave has acceped the valid read address
axi_arready <= '1';
-- Read Address latching
axi_araddr <= S_AXI_ARADDR;
else
axi_araddr <= (others => '0');
axi_arready <= '0';
end if;
end if;
end if;
end process;
-- Implement axi_arvalid generation
-- axi_rvalid is asserted for one S_AXI_ACLK clock cycle when both
-- S_AXI_ARVALID and axi_arready are asserted. The slave registers
-- data are available on the axi_rdata bus at this instance. The
-- assertion of axi_rvalid marks the validity of read data on the
-- bus and axi_rresp indicates the status of read transaction.axi_rvalid
-- is deasserted on reset (active low). axi_rresp and axi_rdata are
-- cleared to zero on reset (active low).
process (S_AXI_ACLK)
begin
if rising_edge(S_AXI_ACLK) then
if S_AXI_ARESETN = '0' then
axi_rvalid <= '0';
axi_rresp <= "00";
else
if (axi_arready = '1' and S_AXI_ARVALID = '1' and axi_rvalid = '0') then
-- Valid read data is available at the read data bus
axi_rvalid <= '1';
axi_rresp <= "00"; -- 'OKAY' response
elsif (axi_rvalid = '1' and S_AXI_RREADY = '1') then
-- Read data is accepted by the master
axi_rvalid <= '0';
end if;
end if;
end if;
end process;
-- Implement memory mapped register select and read logic generation
-- Slave register read enable is asserted when valid address is available
-- and the slave is ready to accept the read address.
slv_reg_rden <= axi_arready and S_AXI_ARVALID and (not axi_rvalid) ;
process ( slv_reg1, slv_reg2, axi_araddr, S_AXI_ARESETN, slv_reg_rden)
variable loc_addr :std_logic_vector(OPT_MEM_ADDR_BITS downto 0);
begin
-- Address decoding for reading registers
loc_addr := axi_araddr(ADDR_LSB + OPT_MEM_ADDR_BITS downto ADDR_LSB);
case loc_addr is
when b"00000" =>
reg_data_out <= COMPONENT_VERSION;
when b"00001" =>
reg_data_out <= slv_reg1;
when b"00010" =>
reg_data_out <= slv_reg2;
when b"00100" =>
reg_data_out <= a_test_status_register;
when others =>
reg_data_out <= (others => '0');
end case;
end process;
-- Output register or memory read data
process( S_AXI_ACLK ) is
begin
if (rising_edge (S_AXI_ACLK)) then
if ( S_AXI_ARESETN = '0' ) then
axi_rdata <= (others => '0');
else
if (slv_reg_rden = '1') then
-- When there is a valid read address (S_AXI_ARVALID) with
-- acceptance of read address by the slave (axi_arready),
-- output the read dada
-- Read address mux
axi_rdata <= reg_data_out; -- register read data
end if;
end if;
end if;
end process;
-- Add user logic here
-- User logic ends
end arch_imp;
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ezxssGhSHQpKfV0uX0n5dhR8JZBaoBWRUYZfNU5CRx5cYeZHgjirO1aWdOZwJtAP/p3bpj12/pvv
6/KlK3A5OA==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
oS5FRsvnb26BKrgtVVf+i+a42Si1d8YSPYqti4nFyxo4MQoSQGnKJ6hI5zX8U2H+Zanu8fhgYOrQ
X4pC8ExQKyy/8Z9egUJ/k80ECb1r4Qtv2wshaDeaWTxCwM072mTH3KXL5ysi1EGUemjpR08vNplH
jT8y7Ss+vxqC+vFiwp8=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
ipYSd0gvmazPsIYc3cetG8huOhJmO2dtndVwhk+CqAB7vCOMvC4TEaWPTo4QYbO9LsyPJydF0M48
WNB/C7pR6EO+Wv3J1tLYswE6KJL5RzewQLJ5AGBeAMu07O7pEKDq0luC3xafTPznyKRtCK64vRBw
doCjjT7iUYtHvxRClUMurdO2KabyycMuQbCcpth2K3PGJQjaqMOXyebIDBFZA//xUMlev1iWcKTL
kE7G8rJHXpoKt1H5FSIE96ILcKX1J76N2iFXDuG+wBhLWgCUG4VO9ZDV+Rzd0DjDSXujQz4wEYnp
wRebgkMyWnKt52qKucyvHIp7E7NwMnGE6XZaDw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
M3yuIyFEtPyA0FHwRpxr8QhGgdREt3auD6VhaP1YhCsxn9z0L2GREyGhIugvBKTvbZQ4USNnMW3V
CeL/mxUSNEGfpEgV3JSgripUWsOPrmxiGZJOfb68Gi/L/DmsEoVLmezu1/zO4pWk+ULESSsoWV9t
mCZdLa6Cd5vlYRm4BIU=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
KYpsE5JuRwhNUu+LHOEG8YPRm+EdfnitnbG68hqwWGNQNybiuOCamVW0lr9rEFdEyyw1XfFS+vCp
jl2q0dwc/OqK0ieaytpvCO69V09boMNf98chnjlKveiyuQpuLCzhD9YktbJVNWBE6tOSxsAPefyH
vD23cUJ1IlDDN0lwz2kYMDy4oLZp9olY1dKgbjAM1hL67pI3dd+JjfuFsDGB9VAhyO8WncMt39gJ
H3HTk6LpZK0YlwGx7LS5qbyNi+FzEmB9nctZozbKbU7NhDJuYj+tTxa+06it3HH4m2hxZzIBu2Za
ACpb1L2uxSbTcUCbHX0V73uxjKCR0+L3GP1Tow==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 30688)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ezxssGhSHQpKfV0uX0n5dhR8JZBaoBWRUYZfNU5CRx5cYeZHgjirO1aWdOZwJtAP/p3bpj12/pvv
6/KlK3A5OA==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
oS5FRsvnb26BKrgtVVf+i+a42Si1d8YSPYqti4nFyxo4MQoSQGnKJ6hI5zX8U2H+Zanu8fhgYOrQ
X4pC8ExQKyy/8Z9egUJ/k80ECb1r4Qtv2wshaDeaWTxCwM072mTH3KXL5ysi1EGUemjpR08vNplH
jT8y7Ss+vxqC+vFiwp8=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
ipYSd0gvmazPsIYc3cetG8huOhJmO2dtndVwhk+CqAB7vCOMvC4TEaWPTo4QYbO9LsyPJydF0M48
WNB/C7pR6EO+Wv3J1tLYswE6KJL5RzewQLJ5AGBeAMu07O7pEKDq0luC3xafTPznyKRtCK64vRBw
doCjjT7iUYtHvxRClUMurdO2KabyycMuQbCcpth2K3PGJQjaqMOXyebIDBFZA//xUMlev1iWcKTL
kE7G8rJHXpoKt1H5FSIE96ILcKX1J76N2iFXDuG+wBhLWgCUG4VO9ZDV+Rzd0DjDSXujQz4wEYnp
wRebgkMyWnKt52qKucyvHIp7E7NwMnGE6XZaDw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
M3yuIyFEtPyA0FHwRpxr8QhGgdREt3auD6VhaP1YhCsxn9z0L2GREyGhIugvBKTvbZQ4USNnMW3V
CeL/mxUSNEGfpEgV3JSgripUWsOPrmxiGZJOfb68Gi/L/DmsEoVLmezu1/zO4pWk+ULESSsoWV9t
mCZdLa6Cd5vlYRm4BIU=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
KYpsE5JuRwhNUu+LHOEG8YPRm+EdfnitnbG68hqwWGNQNybiuOCamVW0lr9rEFdEyyw1XfFS+vCp
jl2q0dwc/OqK0ieaytpvCO69V09boMNf98chnjlKveiyuQpuLCzhD9YktbJVNWBE6tOSxsAPefyH
vD23cUJ1IlDDN0lwz2kYMDy4oLZp9olY1dKgbjAM1hL67pI3dd+JjfuFsDGB9VAhyO8WncMt39gJ
H3HTk6LpZK0YlwGx7LS5qbyNi+FzEmB9nctZozbKbU7NhDJuYj+tTxa+06it3HH4m2hxZzIBu2Za
ACpb1L2uxSbTcUCbHX0V73uxjKCR0+L3GP1Tow==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 30688)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2014"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ezxssGhSHQpKfV0uX0n5dhR8JZBaoBWRUYZfNU5CRx5cYeZHgjirO1aWdOZwJtAP/p3bpj12/pvv
6/KlK3A5OA==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
oS5FRsvnb26BKrgtVVf+i+a42Si1d8YSPYqti4nFyxo4MQoSQGnKJ6hI5zX8U2H+Zanu8fhgYOrQ
X4pC8ExQKyy/8Z9egUJ/k80ECb1r4Qtv2wshaDeaWTxCwM072mTH3KXL5ysi1EGUemjpR08vNplH
jT8y7Ss+vxqC+vFiwp8=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2014_03", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
ipYSd0gvmazPsIYc3cetG8huOhJmO2dtndVwhk+CqAB7vCOMvC4TEaWPTo4QYbO9LsyPJydF0M48
WNB/C7pR6EO+Wv3J1tLYswE6KJL5RzewQLJ5AGBeAMu07O7pEKDq0luC3xafTPznyKRtCK64vRBw
doCjjT7iUYtHvxRClUMurdO2KabyycMuQbCcpth2K3PGJQjaqMOXyebIDBFZA//xUMlev1iWcKTL
kE7G8rJHXpoKt1H5FSIE96ILcKX1J76N2iFXDuG+wBhLWgCUG4VO9ZDV+Rzd0DjDSXujQz4wEYnp
wRebgkMyWnKt52qKucyvHIp7E7NwMnGE6XZaDw==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
M3yuIyFEtPyA0FHwRpxr8QhGgdREt3auD6VhaP1YhCsxn9z0L2GREyGhIugvBKTvbZQ4USNnMW3V
CeL/mxUSNEGfpEgV3JSgripUWsOPrmxiGZJOfb68Gi/L/DmsEoVLmezu1/zO4pWk+ULESSsoWV9t
mCZdLa6Cd5vlYRm4BIU=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
KYpsE5JuRwhNUu+LHOEG8YPRm+EdfnitnbG68hqwWGNQNybiuOCamVW0lr9rEFdEyyw1XfFS+vCp
jl2q0dwc/OqK0ieaytpvCO69V09boMNf98chnjlKveiyuQpuLCzhD9YktbJVNWBE6tOSxsAPefyH
vD23cUJ1IlDDN0lwz2kYMDy4oLZp9olY1dKgbjAM1hL67pI3dd+JjfuFsDGB9VAhyO8WncMt39gJ
H3HTk6LpZK0YlwGx7LS5qbyNi+FzEmB9nctZozbKbU7NhDJuYj+tTxa+06it3HH4m2hxZzIBu2Za
ACpb1L2uxSbTcUCbHX0V73uxjKCR0+L3GP1Tow==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 30688)
`protect data_block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`protect end_protected
|
-- ZX Spectrum for Altera DE1
--
-- Copyright (c) 2009-2011 Mike Stirling
--
-- All rights reserved
--
-- Redistribution and use in source and synthezised forms, with or without
-- modification, are permitted provided that the following conditions are met:
--
-- * Redistributions of source code must retain the above copyright notice,
-- this list of conditions and the following disclaimer.
--
-- * Redistributions in synthesized form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- * Neither the name of the author nor the names of other contributors may
-- be used to endorse or promote products derived from this software without
-- specific prior written agreement from the author.
--
-- * License is granted for non-commercial use only. A fee may not be charged
-- for redistributions as source code or in synthesized/hardware form without
-- specific prior written agreement from the author.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-- AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
-- THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
-- PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE
-- LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-- CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-- SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-- INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-- CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-- ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
entity i2s_intf is
generic(
-- CLK is now the 32Mhz clock
inclk_rate : positive := 32000000;
-- The DAC is fed with a 16MHz clock, and configured to FS=MCLK/125, giving FS=125KHz
sample_rate : positive := 125000;
preamble : positive := 1; -- I2S
word_length : positive := 16
);
port (
-- 2x MCLK in (e.g. 24 MHz for WM8731 USB mode)
CLK : in std_logic;
nRESET : in std_logic;
-- Parallel IO
PCM_INL : out std_logic_vector(word_length - 1 downto 0);
PCM_INR : out std_logic_vector(word_length - 1 downto 0);
PCM_OUTL : in std_logic_vector(word_length - 1 downto 0);
PCM_OUTR : in std_logic_vector(word_length - 1 downto 0);
-- Codec interface (right justified mode)
-- MCLK is generated at half of the CLK input
I2S_MCLK : out std_logic;
-- LRCLK is equal to the sample rate and is synchronous to
-- MCLK. It must be related to MCLK by the oversampling ratio
-- given in the codec datasheet.
I2S_LRCLK : out std_logic;
-- Data is shifted out on the falling edge of BCLK, sampled
-- on the rising edge. The bit rate is determined such that
-- it is fast enough to fit preamble + word_length bits into
-- each LRCLK half cycle. The last cycle of each word may be
-- stretched to fit to LRCLK. This is OK at least for the
-- WM8731 codec.
-- The first falling edge of each timeslot is always synchronised
-- with the LRCLK edge.
I2S_BCLK : out std_logic;
-- Output bitstream
I2S_DOUT : out std_logic;
-- Input bitstream
I2S_DIN : in std_logic
);
end i2s_intf;
architecture i2s_intf_arch of i2s_intf is
-- this works out at 256
constant ratio_inclk_fs : positive := (inclk_rate / sample_rate);
-- this work out at 127
constant lrdivider_top : positive := (ratio_inclk_fs / 2) - 1;
-- this works out as 1; erring on the small side is fine
constant bdivider_top : positive := (ratio_inclk_fs / 8 / (preamble + word_length) * 2) - 1;
-- this works out as 17
constant nbits : positive := preamble + word_length;
subtype lrdivider_t is integer range 0 to lrdivider_top;
subtype bdivider_t is integer range 0 to bdivider_top;
subtype bitcount_t is integer range 0 to nbits;
signal lrdivider : lrdivider_t := lrdivider_top;
signal bdivider : bdivider_t := bdivider_top;
signal bitcount : bitcount_t := nbits;
signal mclk_r : std_logic := '0';
signal lrclk_r : std_logic := '0';
signal bclk_r : std_logic := '0';
-- Shift register is long enough for the number of data bits
-- plus the preamble, plus an extra bit on the right to register
-- the incoming data
signal shiftreg : std_logic_vector(nbits downto 0);
begin
I2S_MCLK <= mclk_r;
I2S_LRCLK <= lrclk_r;
I2S_BCLK <= bclk_r;
I2S_DOUT <= shiftreg(nbits); -- data goes out MSb first
process(nRESET,CLK)
begin
if nRESET = '0' then
PCM_INL <= (others => '0');
PCM_INR <= (others => '0');
-- Preload down-counters for clock generation
lrdivider <= lrdivider_top;
bdivider <= bdivider_top;
bitcount <= nbits;
mclk_r <= '0';
lrclk_r <= '0';
bclk_r <= '0';
shiftreg <= (others => '0');
elsif rising_edge(CLK) then
-- Generate MCLK at half input clock rate
mclk_r <= not mclk_r;
-- Generate LRCLK at rate specified by codec configuration
if lrdivider = 0 then
-- LRCLK divider has reached 0 - start again from the top
lrdivider <= lrdivider_top;
-- Generate LRCLK edge and sync the BCLK counter
lrclk_r <= not lrclk_r;
bclk_r <= '0';
bitcount <= nbits; -- 1 extra required for setup
bdivider <= bdivider_top;
-- Load shift register with output data padding preamble
-- with 0s. Load output buses with input word from the
-- previous timeslot.
shiftreg(nbits downto nbits - preamble + 1) <= (others => '0');
if lrclk_r = '0' then
-- Previous channel input is LEFT. This is available in the
-- shift register at the end of a cycle, right justified
PCM_INL <= shiftreg(word_length - 1 downto 0);
-- Next channel to output is RIGHT. Load this into the
-- shift register at the start of a cycle, left justified
shiftreg(word_length downto 1) <= PCM_OUTR;
else
-- Previous channel input is RIGHT
PCM_INR <= shiftreg(word_length - 1 downto 0);
-- Next channel is LEFT
shiftreg(word_length downto 1) <= PCM_OUTL;
end if;
else
-- Decrement the LRCLK counter
lrdivider <= lrdivider - 1;
-- Generate BCLK at a suitable rate to fit the required number
-- of bits into each timeslot. Data is changed on the falling edge,
-- sampled on the rising edge
if bdivider = 0 then
-- If all bits have been output for this phase then
-- stop and wait to sync back up with LRCLK
if bitcount > 0 then
-- Reset
bdivider <= bdivider_top;
-- Toggle BCLK
bclk_r <= not bclk_r;
if bclk_r = '0' then
-- Rising edge - shift in current bit and decrement bit counter
bitcount <= bitcount - 1;
shiftreg(0) <= I2S_DIN;
else
-- Falling edge - shift out next bit
shiftreg(nbits downto 1) <= shiftreg(nbits - 1 downto 0);
end if;
end if;
else
-- Decrement the BCLK counter
bdivider <= bdivider - 1;
end if;
end if;
end if;
end process;
end i2s_intf_arch;
|
-- ZX Spectrum for Altera DE1
--
-- Copyright (c) 2009-2011 Mike Stirling
--
-- All rights reserved
--
-- Redistribution and use in source and synthezised forms, with or without
-- modification, are permitted provided that the following conditions are met:
--
-- * Redistributions of source code must retain the above copyright notice,
-- this list of conditions and the following disclaimer.
--
-- * Redistributions in synthesized form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- * Neither the name of the author nor the names of other contributors may
-- be used to endorse or promote products derived from this software without
-- specific prior written agreement from the author.
--
-- * License is granted for non-commercial use only. A fee may not be charged
-- for redistributions as source code or in synthesized/hardware form without
-- specific prior written agreement from the author.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-- AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
-- THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
-- PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE
-- LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-- CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-- SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-- INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-- CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-- ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
entity i2s_intf is
generic(
-- CLK is now the 32Mhz clock
inclk_rate : positive := 32000000;
-- The DAC is fed with a 16MHz clock, and configured to FS=MCLK/125, giving FS=125KHz
sample_rate : positive := 125000;
preamble : positive := 1; -- I2S
word_length : positive := 16
);
port (
-- 2x MCLK in (e.g. 24 MHz for WM8731 USB mode)
CLK : in std_logic;
nRESET : in std_logic;
-- Parallel IO
PCM_INL : out std_logic_vector(word_length - 1 downto 0);
PCM_INR : out std_logic_vector(word_length - 1 downto 0);
PCM_OUTL : in std_logic_vector(word_length - 1 downto 0);
PCM_OUTR : in std_logic_vector(word_length - 1 downto 0);
-- Codec interface (right justified mode)
-- MCLK is generated at half of the CLK input
I2S_MCLK : out std_logic;
-- LRCLK is equal to the sample rate and is synchronous to
-- MCLK. It must be related to MCLK by the oversampling ratio
-- given in the codec datasheet.
I2S_LRCLK : out std_logic;
-- Data is shifted out on the falling edge of BCLK, sampled
-- on the rising edge. The bit rate is determined such that
-- it is fast enough to fit preamble + word_length bits into
-- each LRCLK half cycle. The last cycle of each word may be
-- stretched to fit to LRCLK. This is OK at least for the
-- WM8731 codec.
-- The first falling edge of each timeslot is always synchronised
-- with the LRCLK edge.
I2S_BCLK : out std_logic;
-- Output bitstream
I2S_DOUT : out std_logic;
-- Input bitstream
I2S_DIN : in std_logic
);
end i2s_intf;
architecture i2s_intf_arch of i2s_intf is
-- this works out at 256
constant ratio_inclk_fs : positive := (inclk_rate / sample_rate);
-- this work out at 127
constant lrdivider_top : positive := (ratio_inclk_fs / 2) - 1;
-- this works out as 1; erring on the small side is fine
constant bdivider_top : positive := (ratio_inclk_fs / 8 / (preamble + word_length) * 2) - 1;
-- this works out as 17
constant nbits : positive := preamble + word_length;
subtype lrdivider_t is integer range 0 to lrdivider_top;
subtype bdivider_t is integer range 0 to bdivider_top;
subtype bitcount_t is integer range 0 to nbits;
signal lrdivider : lrdivider_t := lrdivider_top;
signal bdivider : bdivider_t := bdivider_top;
signal bitcount : bitcount_t := nbits;
signal mclk_r : std_logic := '0';
signal lrclk_r : std_logic := '0';
signal bclk_r : std_logic := '0';
-- Shift register is long enough for the number of data bits
-- plus the preamble, plus an extra bit on the right to register
-- the incoming data
signal shiftreg : std_logic_vector(nbits downto 0);
begin
I2S_MCLK <= mclk_r;
I2S_LRCLK <= lrclk_r;
I2S_BCLK <= bclk_r;
I2S_DOUT <= shiftreg(nbits); -- data goes out MSb first
process(nRESET,CLK)
begin
if nRESET = '0' then
PCM_INL <= (others => '0');
PCM_INR <= (others => '0');
-- Preload down-counters for clock generation
lrdivider <= lrdivider_top;
bdivider <= bdivider_top;
bitcount <= nbits;
mclk_r <= '0';
lrclk_r <= '0';
bclk_r <= '0';
shiftreg <= (others => '0');
elsif rising_edge(CLK) then
-- Generate MCLK at half input clock rate
mclk_r <= not mclk_r;
-- Generate LRCLK at rate specified by codec configuration
if lrdivider = 0 then
-- LRCLK divider has reached 0 - start again from the top
lrdivider <= lrdivider_top;
-- Generate LRCLK edge and sync the BCLK counter
lrclk_r <= not lrclk_r;
bclk_r <= '0';
bitcount <= nbits; -- 1 extra required for setup
bdivider <= bdivider_top;
-- Load shift register with output data padding preamble
-- with 0s. Load output buses with input word from the
-- previous timeslot.
shiftreg(nbits downto nbits - preamble + 1) <= (others => '0');
if lrclk_r = '0' then
-- Previous channel input is LEFT. This is available in the
-- shift register at the end of a cycle, right justified
PCM_INL <= shiftreg(word_length - 1 downto 0);
-- Next channel to output is RIGHT. Load this into the
-- shift register at the start of a cycle, left justified
shiftreg(word_length downto 1) <= PCM_OUTR;
else
-- Previous channel input is RIGHT
PCM_INR <= shiftreg(word_length - 1 downto 0);
-- Next channel is LEFT
shiftreg(word_length downto 1) <= PCM_OUTL;
end if;
else
-- Decrement the LRCLK counter
lrdivider <= lrdivider - 1;
-- Generate BCLK at a suitable rate to fit the required number
-- of bits into each timeslot. Data is changed on the falling edge,
-- sampled on the rising edge
if bdivider = 0 then
-- If all bits have been output for this phase then
-- stop and wait to sync back up with LRCLK
if bitcount > 0 then
-- Reset
bdivider <= bdivider_top;
-- Toggle BCLK
bclk_r <= not bclk_r;
if bclk_r = '0' then
-- Rising edge - shift in current bit and decrement bit counter
bitcount <= bitcount - 1;
shiftreg(0) <= I2S_DIN;
else
-- Falling edge - shift out next bit
shiftreg(nbits downto 1) <= shiftreg(nbits - 1 downto 0);
end if;
end if;
else
-- Decrement the BCLK counter
bdivider <= bdivider - 1;
end if;
end if;
end if;
end process;
end i2s_intf_arch;
|
-- (c) Copyright 2012 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
------------------------------------------------------------
-------------------------------------------------------------------------------
-- Filename: axi_dma_s2mm_sts_strm.vhd.vhd
-- Description: This entity is the AXI Status Stream Interface
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.std_logic_misc.all;
library unisim;
use unisim.vcomponents.all;
library axi_dma_v7_1;
use axi_dma_v7_1.axi_dma_pkg.all;
library lib_srl_fifo_v1_0;
library lib_cdc_v1_0;
library lib_pkg_v1_0;
use lib_pkg_v1_0.lib_pkg.all;
-------------------------------------------------------------------------------
entity axi_dma_s2mm_sts_strm is
generic (
C_PRMRY_IS_ACLK_ASYNC : integer range 0 to 1 := 0;
-- Primary MM2S/S2MM sync/async mode
-- 0 = synchronous mode - all clocks are synchronous
-- 1 = asynchronous mode - Primary data path channels (MM2S and S2MM)
-- run asynchronous to AXI Lite, DMA Control,
-- and SG.
-----------------------------------------------------------------------
-- Scatter Gather Parameters
-----------------------------------------------------------------------
C_S_AXIS_S2MM_STS_TDATA_WIDTH : integer range 32 to 32 := 32;
-- Slave AXI Status Stream Data Width
C_SG_USE_STSAPP_LENGTH : integer range 0 to 1 := 1;
-- Enable or Disable use of Status Stream Rx Length. Only valid
-- if C_SG_INCLUDE_STSCNTRL_STRM = 1
-- 0 = Don't use Rx Length
-- 1 = Use Rx Length
C_SG_LENGTH_WIDTH : integer range 8 to 23 := 14;
-- Descriptor Buffer Length, Transferred Bytes, and Status Stream
-- Rx Length Width. Indicates the least significant valid bits of
-- descriptor buffer length, transferred bytes, or Rx Length value
-- in the status word coincident with tlast.
C_ENABLE_SKID : integer range 0 to 1 := 0;
C_FAMILY : string := "virtex5"
-- Target FPGA Device Family
);
port (
m_axi_sg_aclk : in std_logic ; --
m_axi_sg_aresetn : in std_logic ; --
--
axi_prmry_aclk : in std_logic ; --
p_reset_n : in std_logic ; --
--
s2mm_stop : in std_logic ; --
--
s2mm_rxlength_valid : out std_logic ; --
s2mm_rxlength_clr : in std_logic ; --
s2mm_rxlength : out std_logic_vector --
(C_SG_LENGTH_WIDTH - 1 downto 0) ; --
--
stsstrm_fifo_rden : in std_logic ; --
stsstrm_fifo_empty : out std_logic ; --
stsstrm_fifo_dout : out std_logic_vector --
(C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0); --
--
-- Stream to Memory Map Status Stream Interface --
s_axis_s2mm_sts_tdata : in std_logic_vector --
(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0); --
s_axis_s2mm_sts_tkeep : in std_logic_vector --
((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0); --
s_axis_s2mm_sts_tvalid : in std_logic ; --
s_axis_s2mm_sts_tready : out std_logic ; --
s_axis_s2mm_sts_tlast : in std_logic --
);
end axi_dma_s2mm_sts_strm;
-------------------------------------------------------------------------------
-- Architecture
-------------------------------------------------------------------------------
architecture implementation of axi_dma_s2mm_sts_strm is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------------------
-- Functions
-------------------------------------------------------------------------------
-- No Functions Declared
-------------------------------------------------------------------------------
-- Constants Declarations
-------------------------------------------------------------------------------
-- Status Stream FIFO Depth
constant STSSTRM_FIFO_DEPTH : integer := 16;
-- Status Stream FIFO Data Count Width (Unsused)
constant STSSTRM_FIFO_CNT_WIDTH : integer := clog2(STSSTRM_FIFO_DEPTH+1);
constant USE_LOGIC_FIFOS : integer := 0; -- Use Logic FIFOs
constant USE_BRAM_FIFOS : integer := 1; -- Use BRAM FIFOs
-------------------------------------------------------------------------------
-- Signal / Type Declarations
-------------------------------------------------------------------------------
signal fifo_full : std_logic := '0';
signal fifo_din : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0) := (others => '0');
signal fifo_wren : std_logic := '0';
signal fifo_sinit : std_logic := '0';
signal rxlength_cdc_from : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_valid_cdc_from : std_logic := '0';
signal rxlength_valid_trdy : std_logic := '0';
--signal sts_tvalid_re : std_logic := '0';-- CR565502
--signal sts_tvalid_d1 : std_logic := '0';-- CR565502
signal sts_tvalid : std_logic := '0';
signal sts_tready : std_logic := '0';
signal sts_tdata : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0) := (others => '0');
signal sts_tkeep : std_logic_vector((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0) := (others => '0');
signal sts_tlast : std_logic := '0';
signal m_tvalid : std_logic := '0';
signal m_tready : std_logic := '0';
signal m_tdata : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0) := (others => '0');
signal m_tkeep : std_logic_vector((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0) := (others => '0');
signal m_tlast : std_logic := '0';
signal tag_stripped : std_logic := '0';
signal mask_tag_write : std_logic := '0';
--signal mask_tag_hold : std_logic := '0';-- CR565502
signal skid_rst : std_logic := '0';
-------------------------------------------------------------------------------
-- Begin architecture logic
-------------------------------------------------------------------------------
begin
-- Primary Clock is synchronous to Secondary Clock therfore
-- instantiate a sync fifo.
GEN_SYNC_FIFO : if C_PRMRY_IS_ACLK_ASYNC = 0 generate
signal s2mm_stop_d1 : std_logic := '0';
signal s2mm_stop_re : std_logic := '0';
signal sts_rden : std_logic := '0';
signal follower_empty : std_logic := '0';
signal fifo_empty : std_logic := '0';
signal fifo_out : std_logic_vector (C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0) := (others => '0');
begin
-- Generate Synchronous FIFO
-- I_STSSTRM_FIFO : entity lib_srl_fifo_v1_0.sync_fifo_fg
-- generic map (
-- C_FAMILY => C_FAMILY ,
-- C_MEMORY_TYPE => USE_LOGIC_FIFOS,
-- C_WRITE_DATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
-- C_WRITE_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_READ_DATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
-- C_READ_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_PORTS_DIFFER => 0,
-- C_HAS_DCOUNT => 1, --req for proper fifo operation
-- C_DCOUNT_WIDTH => STSSTRM_FIFO_CNT_WIDTH,
-- C_HAS_ALMOST_FULL => 0,
-- C_HAS_RD_ACK => 0,
-- C_HAS_RD_ERR => 0,
-- C_HAS_WR_ACK => 0,
-- C_HAS_WR_ERR => 0,
-- C_RD_ACK_LOW => 0,
-- C_RD_ERR_LOW => 0,
-- C_WR_ACK_LOW => 0,
-- C_WR_ERR_LOW => 0,
-- C_PRELOAD_REGS => 1,-- 1 = first word fall through
-- C_PRELOAD_LATENCY => 0 -- 0 = first word fall through
-- -- C_USE_EMBEDDED_REG => 1 -- 0 ;
-- )
-- port map (
--
-- Clk => m_axi_sg_aclk ,
-- Sinit => fifo_sinit ,
-- Din => fifo_din ,
-- Wr_en => fifo_wren ,
-- Rd_en => stsstrm_fifo_rden ,
-- Dout => stsstrm_fifo_dout ,
-- Full => fifo_full ,
-- Empty => stsstrm_fifo_empty ,
-- Almost_full => open ,
-- Data_count => open ,
-- Rd_ack => open ,
-- Rd_err => open ,
-- Wr_ack => open ,
-- Wr_err => open
--
-- );
I_UPDT_STS_FIFO : entity lib_srl_fifo_v1_0.srl_fifo_f
generic map (
C_DWIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
C_DEPTH => 16 ,
C_FAMILY => C_FAMILY
)
port map (
Clk => m_axi_sg_aclk ,
Reset => fifo_sinit ,
FIFO_Write => fifo_wren ,
Data_In => fifo_din ,
FIFO_Read => sts_rden, --sts_queue_rden ,
Data_Out => fifo_out, --sts_queue_dout ,
FIFO_Empty => fifo_empty, --sts_queue_empty ,
FIFO_Full => fifo_full ,
Addr => open
);
sts_rden <= (not fifo_empty) and follower_empty;
stsstrm_fifo_empty <= follower_empty;
process (m_axi_sg_aclk)
begin
if (m_axi_sg_aclk'event and m_axi_sg_aclk = '1') then
if (fifo_sinit = '1' or stsstrm_fifo_rden = '1') then
follower_empty <= '1';
elsif (sts_rden = '1') then
follower_empty <= '0';
end if;
end if;
end process;
process (m_axi_sg_aclk)
begin
if (m_axi_sg_aclk'event and m_axi_sg_aclk = '1') then
if (fifo_sinit = '1') then
stsstrm_fifo_dout <= (others => '0');
elsif (sts_rden = '1') then
stsstrm_fifo_dout <= fifo_out;
end if;
end if;
end process;
fifo_sinit <= not m_axi_sg_aresetn;
fifo_din <= sts_tlast & sts_tdata;
fifo_wren <= sts_tvalid and not fifo_full and not rxlength_valid_cdc_from and not mask_tag_write;
sts_tready <= not fifo_sinit and not fifo_full and not rxlength_valid_cdc_from;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- -- Create register delay of status tvalid in order to create a
-- -- rising edge pulse. note xx_re signal will hold at 1 if
-- -- fifo full on rising edge of tvalid.
-- REG_TVALID : process(axi_prmry_aclk)
-- begin
-- if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- sts_tvalid_d1 <= '0';
-- elsif(fifo_full = '0')then
-- sts_tvalid_d1 <= sts_tvalid;
-- end if;
-- end if;
-- end process REG_TVALID;
--
-- -- rising edge on tvalid used to gate off status tag from being
-- -- writen into fifo.
-- sts_tvalid_re <= sts_tvalid and not sts_tvalid_d1;
REG_TAG_STRIPPED : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0')then
tag_stripped <= '0';
-- Reset on write of last word
elsif(fifo_wren = '1' and sts_tlast = '1')then
tag_stripped <= '0';
-- Set on beginning of new status stream
elsif(sts_tready = '1' and sts_tvalid = '1')then
tag_stripped <= '1';
end if;
end if;
end process REG_TAG_STRIPPED;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- REG_MASK_TAG : process(m_axi_sg_aclk)
-- begin
-- if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- mask_tag_hold <= '0';
-- elsif((sts_tvalid_re = '1' and tag_stripped = '0')
-- or (fifo_wren = '1' and sts_tlast = '1'))then
-- mask_tag_hold <= '1';
-- elsif(tag_stripped = '1')then
-- mask_tag_hold <= '0';
-- end if;
-- end if;
-- end process;
--
-- -- Mask TAG if not already masked and rising edge of tvalid
-- mask_tag_write <= not tag_stripped and (sts_tvalid_re or mask_tag_hold);
mask_tag_write <= not tag_stripped and sts_tready and sts_tvalid;
-- Generate logic to capture receive length when Use Receive Length is
-- enabled
GEN_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 1 generate
begin
-- Register receive length on assertion of last and valid
-- Mark rxlength as valid for higher processes
REG_RXLENGTH : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0' or s2mm_rxlength_clr = '1')then
rxlength_cdc_from <= (others => '0');
rxlength_valid_cdc_from <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_cdc_from <= sts_tdata(C_SG_LENGTH_WIDTH-1 downto 0);
rxlength_valid_cdc_from <= '1';
end if;
end if;
end process REG_RXLENGTH;
s2mm_rxlength_valid <= rxlength_valid_cdc_from;
s2mm_rxlength <= rxlength_cdc_from;
end generate GEN_STS_APP_LENGTH;
-- Do NOT generate logic to capture receive length when option disabled
GEN_NO_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 0 generate
begin
s2mm_rxlength_valid <= '0';
s2mm_rxlength <= (others => '0');
end generate GEN_NO_STS_APP_LENGTH;
-- register stop to create re pulse
REG_STOP : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
s2mm_stop_d1 <= '0';
else
s2mm_stop_d1 <= s2mm_stop;
end if;
end if;
end process REG_STOP;
s2mm_stop_re <= s2mm_stop and not s2mm_stop_d1;
skid_rst <= not m_axi_sg_aresetn;
ENABLE_SKID : if C_ENABLE_SKID = 1 generate
begin
---------------------------------------------------------------------------
-- Buffer AXI Signals
---------------------------------------------------------------------------
STS_SKID_BUF_I : entity axi_dma_v7_1.axi_dma_skid_buf
generic map(
C_WDATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH
)
port map(
-- System Ports
ACLK => m_axi_sg_aclk ,
ARST => skid_rst ,
skid_stop => s2mm_stop_re ,
-- Slave Side (Stream Data Input)
S_VALID => s_axis_s2mm_sts_tvalid ,
S_READY => s_axis_s2mm_sts_tready ,
S_Data => s_axis_s2mm_sts_tdata ,
S_STRB => s_axis_s2mm_sts_tkeep ,
S_Last => s_axis_s2mm_sts_tlast ,
-- Master Side (Stream Data Output
M_VALID => sts_tvalid ,
M_READY => sts_tready ,
M_Data => sts_tdata ,
M_STRB => sts_tkeep ,
M_Last => sts_tlast
);
end generate ENABLE_SKID;
DISABLE_SKID : if C_ENABLE_SKID = 0 generate
begin
sts_tvalid <= s_axis_s2mm_sts_tvalid;
s_axis_s2mm_sts_tready <= sts_tready;
sts_tdata <= s_axis_s2mm_sts_tdata;
sts_tkeep <= s_axis_s2mm_sts_tkeep;
sts_tlast <= s_axis_s2mm_sts_tlast;
end generate DISABLE_SKID;
end generate GEN_SYNC_FIFO;
-- Primary Clock is asynchronous to Secondary Clock therfore
-- instantiate an async fifo.
GEN_ASYNC_FIFO : if C_PRMRY_IS_ACLK_ASYNC = 1 generate
ATTRIBUTE async_reg : STRING;
signal s2mm_stop_reg : std_logic := '0'; -- CR605883
signal p_s2mm_stop_d1_cdc_tig : std_logic := '0';
signal p_s2mm_stop_d2 : std_logic := '0';
signal p_s2mm_stop_d3 : std_logic := '0';
signal p_s2mm_stop_re : std_logic := '0';
--ATTRIBUTE async_reg OF p_s2mm_stop_d1_cdc_tig : SIGNAL IS "true";
--ATTRIBUTE async_reg OF p_s2mm_stop_d2 : SIGNAL IS "true";
begin
-- Generate Asynchronous FIFO
I_STSSTRM_FIFO : entity axi_dma_v7_1.axi_dma_afifo_autord
generic map(
C_DWIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1 ,
-- C_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_CNT_WIDTH => STSSTRM_FIFO_CNT_WIDTH ,
C_DEPTH => 15 ,
C_CNT_WIDTH => 4 ,
C_USE_BLKMEM => USE_LOGIC_FIFOS ,
C_FAMILY => C_FAMILY
)
port map(
-- Inputs
AFIFO_Ainit => fifo_sinit ,
AFIFO_Wr_clk => axi_prmry_aclk ,
AFIFO_Wr_en => fifo_wren ,
AFIFO_Din => fifo_din ,
AFIFO_Rd_clk => m_axi_sg_aclk ,
AFIFO_Rd_en => stsstrm_fifo_rden ,
AFIFO_Clr_Rd_Data_Valid => '0' ,
-- Outputs
AFIFO_DValid => open ,
AFIFO_Dout => stsstrm_fifo_dout ,
AFIFO_Full => fifo_full ,
AFIFO_Empty => stsstrm_fifo_empty ,
AFIFO_Almost_full => open ,
AFIFO_Almost_empty => open ,
AFIFO_Wr_count => open ,
AFIFO_Rd_count => open ,
AFIFO_Corr_Rd_count => open ,
AFIFO_Corr_Rd_count_minus1 => open ,
AFIFO_Rd_ack => open
);
fifo_sinit <= not p_reset_n;
fifo_din <= sts_tlast & sts_tdata;
fifo_wren <= sts_tvalid -- valid data
and not fifo_full -- fifo has room
and not rxlength_valid_trdy --rxlength_valid_cdc_from -- not holding a valid length
and not mask_tag_write; -- not masking off tag word
sts_tready <= not fifo_sinit and not fifo_full and not rxlength_valid_trdy; --rxlength_valid_cdc_from;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- -- Create register delay of status tvalid in order to create a
-- -- rising edge pulse. note xx_re signal will hold at 1 if
-- -- fifo full on rising edge of tvalid.
-- REG_TVALID : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- sts_tvalid_d1 <= '0';
-- elsif(fifo_full = '0')then
-- sts_tvalid_d1 <= sts_tvalid;
-- end if;
-- end if;
-- end process REG_TVALID;
-- -- rising edge on tvalid used to gate off status tag from being
-- -- writen into fifo.
-- sts_tvalid_re <= sts_tvalid and not sts_tvalid_d1;
REG_TAG_STRIPPED : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
tag_stripped <= '0';
-- Reset on write of last word
elsif(fifo_wren = '1' and sts_tlast = '1')then
tag_stripped <= '0';
-- Set on beginning of new status stream
elsif(sts_tready = '1' and sts_tvalid = '1')then
tag_stripped <= '1';
end if;
end if;
end process REG_TAG_STRIPPED;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- REG_MASK_TAG : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- mask_tag_hold <= '0';
-- elsif(tag_stripped = '1')then
-- mask_tag_hold <= '0';
--
-- elsif(sts_tvalid_re = '1'
-- or (fifo_wren = '1' and sts_tlast = '1'))then
-- mask_tag_hold <= '1';
-- end if;
-- end if;
-- end process;
--
-- -- Mask TAG if not already masked and rising edge of tvalid
-- mask_tag_write <= not tag_stripped and (sts_tvalid_re or mask_tag_hold);
mask_tag_write <= not tag_stripped and sts_tready and sts_tvalid;
-- Generate logic to capture receive length when Use Receive Length is
-- enabled
GEN_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 1 generate
signal rxlength_clr_d1_cdc_tig : std_logic := '0';
signal rxlength_clr_d2 : std_logic := '0';
signal rxlength_d1_cdc_to : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_d2 : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_valid_d1_cdc_to : std_logic := '0';
signal rxlength_valid_d2_cdc_from : std_logic := '0';
signal rxlength_valid_d3 : std_logic := '0';
signal rxlength_valid_d4 : std_logic := '0';
signal rxlength_valid_d1_back_cdc_to, rxlength_valid_d2_back : std_logic := '0';
ATTRIBUTE async_reg : STRING;
--ATTRIBUTE async_reg OF rxlength_d1_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_d2 : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d1_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d1_back_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d2_back : SIGNAL IS "true";
begin
-- Double register from secondary clock domain to primary
S2P_CLK_CROSS : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => s2mm_rxlength_clr,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => rxlength_clr_d2,
scndry_vect_out => open
);
-- S2P_CLK_CROSS : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(p_reset_n = '0')then
-- rxlength_clr_d1_cdc_tig <= '0';
-- rxlength_clr_d2 <= '0';
-- else
-- rxlength_clr_d1_cdc_tig <= s2mm_rxlength_clr;
-- rxlength_clr_d2 <= rxlength_clr_d1_cdc_tig;
-- end if;
-- end if;
-- end process S2P_CLK_CROSS;
-- Register receive length on assertion of last and valid
-- Mark rxlength as valid for higher processes
TRDY_RXLENGTH : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0' or rxlength_clr_d2 = '1')then
rxlength_valid_trdy <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_valid_trdy <= '1';
end if;
end if;
end process TRDY_RXLENGTH;
REG_RXLENGTH : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0') then -- or rxlength_clr_d2 = '1')then
rxlength_cdc_from <= (others => '0');
rxlength_valid_cdc_from <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_cdc_from <= sts_tdata(C_SG_LENGTH_WIDTH-1 downto 0);
rxlength_valid_cdc_from <= '1';
elsif (rxlength_valid_d2_back = '1') then
rxlength_valid_cdc_from <= '0';
end if;
end if;
end process REG_RXLENGTH;
SYNC_RXLENGTH : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => rxlength_valid_d2_cdc_from,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => rxlength_valid_d2_back,
scndry_vect_out => open
);
-- SYNC_RXLENGTH : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(p_reset_n = '0') then -- or rxlength_clr_d2 = '1')then
--
-- rxlength_valid_d1_back_cdc_to <= '0';
-- rxlength_valid_d2_back <= '0';
-- else
-- rxlength_valid_d1_back_cdc_to <= rxlength_valid_d2_cdc_from;
-- rxlength_valid_d2_back <= rxlength_valid_d1_back_cdc_to;
--
-- end if;
-- end if;
-- end process SYNC_RXLENGTH;
-- Double register from primary clock domain to secondary
P2S_CLK_CROSS : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => rxlength_valid_cdc_from,
prmry_vect_in => (others => '0'),
scndry_aclk => m_axi_sg_aclk,
scndry_resetn => '0',
scndry_out => rxlength_valid_d2_cdc_from,
scndry_vect_out => open
);
P2S_CLK_CROSS2 : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 0,
C_VECTOR_WIDTH => C_SG_LENGTH_WIDTH,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => '0',
prmry_vect_in => rxlength_cdc_from,
scndry_aclk => m_axi_sg_aclk,
scndry_resetn => '0',
scndry_out => open,
scndry_vect_out => rxlength_d2
);
P2S_CLK_CROSS1 : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0') then -- or s2mm_rxlength_clr = '1') then
-- rxlength_d1_cdc_to <= (others => '0');
-- rxlength_d2 <= (others => '0');
-- rxlength_valid_d1_cdc_to <= '0';
-- rxlength_valid_d2_cdc_from <= '0';
rxlength_valid_d3 <= '0';
else
-- rxlength_d1_cdc_to <= rxlength_cdc_from;
-- rxlength_d2 <= rxlength_d1_cdc_to;
-- rxlength_valid_d1_cdc_to <= rxlength_valid_cdc_from;
-- rxlength_valid_d2_cdc_from <= rxlength_valid_d1_cdc_to;
rxlength_valid_d3 <= rxlength_valid_d2_cdc_from;
end if;
end if;
end process P2S_CLK_CROSS1;
process (m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0' or s2mm_rxlength_clr = '1')then
rxlength_valid_d4 <= '0';
elsif (rxlength_valid_d3 = '1' and rxlength_valid_d2_cdc_from = '0') then
rxlength_valid_d4 <= '1';
end if;
end if;
end process;
s2mm_rxlength <= rxlength_d2;
-- s2mm_rxlength_valid <= rxlength_valid_d2;
s2mm_rxlength_valid <= rxlength_valid_d4;
end generate GEN_STS_APP_LENGTH;
-- Do NOT generate logic to capture receive length when option disabled
GEN_NO_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 0 generate
s2mm_rxlength_valid <= '0';
s2mm_rxlength <= (others => '0');
end generate GEN_NO_STS_APP_LENGTH;
-- CR605883
-- Register stop to provide pure FF output for synchronizer
REG_STOP : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0')then
s2mm_stop_reg <= '0';
else
s2mm_stop_reg <= s2mm_stop;
end if;
end if;
end process REG_STOP;
-- double register s2mm error into primary clock domain
REG_ERR2PRMRY : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => s2mm_stop_reg,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => p_s2mm_stop_d2,
scndry_vect_out => open
);
REG_ERR2PRMRY1 : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
-- p_s2mm_stop_d1_cdc_tig <= '0';
-- p_s2mm_stop_d2 <= '0';
p_s2mm_stop_d3 <= '0';
else
--p_s2mm_stop_d1_cdc_tig <= s2mm_stop; -- CR605883
-- p_s2mm_stop_d1_cdc_tig <= s2mm_stop_reg;
-- p_s2mm_stop_d2 <= p_s2mm_stop_d1_cdc_tig;
p_s2mm_stop_d3 <= p_s2mm_stop_d2;
end if;
end if;
end process REG_ERR2PRMRY1;
p_s2mm_stop_re <= p_s2mm_stop_d2 and not p_s2mm_stop_d3;
skid_rst <= not p_reset_n;
---------------------------------------------------------------------------
-- Buffer AXI Signals
---------------------------------------------------------------------------
STS_SKID_BUF_I : entity axi_dma_v7_1.axi_dma_skid_buf
generic map(
C_WDATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH
)
port map(
-- System Ports
ACLK => axi_prmry_aclk ,
ARST => skid_rst ,
skid_stop => p_s2mm_stop_re ,
-- Slave Side (Stream Data Input)
S_VALID => s_axis_s2mm_sts_tvalid ,
S_READY => s_axis_s2mm_sts_tready ,
S_Data => s_axis_s2mm_sts_tdata ,
S_STRB => s_axis_s2mm_sts_tkeep ,
S_Last => s_axis_s2mm_sts_tlast ,
-- Master Side (Stream Data Output
M_VALID => sts_tvalid ,
M_READY => sts_tready ,
M_Data => sts_tdata ,
M_STRB => sts_tkeep ,
M_Last => sts_tlast
);
end generate GEN_ASYNC_FIFO;
end implementation;
|
-- (c) Copyright 2012 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
------------------------------------------------------------
-------------------------------------------------------------------------------
-- Filename: axi_dma_s2mm_sts_strm.vhd.vhd
-- Description: This entity is the AXI Status Stream Interface
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.std_logic_misc.all;
library unisim;
use unisim.vcomponents.all;
library axi_dma_v7_1;
use axi_dma_v7_1.axi_dma_pkg.all;
library lib_srl_fifo_v1_0;
library lib_cdc_v1_0;
library lib_pkg_v1_0;
use lib_pkg_v1_0.lib_pkg.all;
-------------------------------------------------------------------------------
entity axi_dma_s2mm_sts_strm is
generic (
C_PRMRY_IS_ACLK_ASYNC : integer range 0 to 1 := 0;
-- Primary MM2S/S2MM sync/async mode
-- 0 = synchronous mode - all clocks are synchronous
-- 1 = asynchronous mode - Primary data path channels (MM2S and S2MM)
-- run asynchronous to AXI Lite, DMA Control,
-- and SG.
-----------------------------------------------------------------------
-- Scatter Gather Parameters
-----------------------------------------------------------------------
C_S_AXIS_S2MM_STS_TDATA_WIDTH : integer range 32 to 32 := 32;
-- Slave AXI Status Stream Data Width
C_SG_USE_STSAPP_LENGTH : integer range 0 to 1 := 1;
-- Enable or Disable use of Status Stream Rx Length. Only valid
-- if C_SG_INCLUDE_STSCNTRL_STRM = 1
-- 0 = Don't use Rx Length
-- 1 = Use Rx Length
C_SG_LENGTH_WIDTH : integer range 8 to 23 := 14;
-- Descriptor Buffer Length, Transferred Bytes, and Status Stream
-- Rx Length Width. Indicates the least significant valid bits of
-- descriptor buffer length, transferred bytes, or Rx Length value
-- in the status word coincident with tlast.
C_ENABLE_SKID : integer range 0 to 1 := 0;
C_FAMILY : string := "virtex5"
-- Target FPGA Device Family
);
port (
m_axi_sg_aclk : in std_logic ; --
m_axi_sg_aresetn : in std_logic ; --
--
axi_prmry_aclk : in std_logic ; --
p_reset_n : in std_logic ; --
--
s2mm_stop : in std_logic ; --
--
s2mm_rxlength_valid : out std_logic ; --
s2mm_rxlength_clr : in std_logic ; --
s2mm_rxlength : out std_logic_vector --
(C_SG_LENGTH_WIDTH - 1 downto 0) ; --
--
stsstrm_fifo_rden : in std_logic ; --
stsstrm_fifo_empty : out std_logic ; --
stsstrm_fifo_dout : out std_logic_vector --
(C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0); --
--
-- Stream to Memory Map Status Stream Interface --
s_axis_s2mm_sts_tdata : in std_logic_vector --
(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0); --
s_axis_s2mm_sts_tkeep : in std_logic_vector --
((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0); --
s_axis_s2mm_sts_tvalid : in std_logic ; --
s_axis_s2mm_sts_tready : out std_logic ; --
s_axis_s2mm_sts_tlast : in std_logic --
);
end axi_dma_s2mm_sts_strm;
-------------------------------------------------------------------------------
-- Architecture
-------------------------------------------------------------------------------
architecture implementation of axi_dma_s2mm_sts_strm is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------------------
-- Functions
-------------------------------------------------------------------------------
-- No Functions Declared
-------------------------------------------------------------------------------
-- Constants Declarations
-------------------------------------------------------------------------------
-- Status Stream FIFO Depth
constant STSSTRM_FIFO_DEPTH : integer := 16;
-- Status Stream FIFO Data Count Width (Unsused)
constant STSSTRM_FIFO_CNT_WIDTH : integer := clog2(STSSTRM_FIFO_DEPTH+1);
constant USE_LOGIC_FIFOS : integer := 0; -- Use Logic FIFOs
constant USE_BRAM_FIFOS : integer := 1; -- Use BRAM FIFOs
-------------------------------------------------------------------------------
-- Signal / Type Declarations
-------------------------------------------------------------------------------
signal fifo_full : std_logic := '0';
signal fifo_din : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0) := (others => '0');
signal fifo_wren : std_logic := '0';
signal fifo_sinit : std_logic := '0';
signal rxlength_cdc_from : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_valid_cdc_from : std_logic := '0';
signal rxlength_valid_trdy : std_logic := '0';
--signal sts_tvalid_re : std_logic := '0';-- CR565502
--signal sts_tvalid_d1 : std_logic := '0';-- CR565502
signal sts_tvalid : std_logic := '0';
signal sts_tready : std_logic := '0';
signal sts_tdata : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0) := (others => '0');
signal sts_tkeep : std_logic_vector((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0) := (others => '0');
signal sts_tlast : std_logic := '0';
signal m_tvalid : std_logic := '0';
signal m_tready : std_logic := '0';
signal m_tdata : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0) := (others => '0');
signal m_tkeep : std_logic_vector((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0) := (others => '0');
signal m_tlast : std_logic := '0';
signal tag_stripped : std_logic := '0';
signal mask_tag_write : std_logic := '0';
--signal mask_tag_hold : std_logic := '0';-- CR565502
signal skid_rst : std_logic := '0';
-------------------------------------------------------------------------------
-- Begin architecture logic
-------------------------------------------------------------------------------
begin
-- Primary Clock is synchronous to Secondary Clock therfore
-- instantiate a sync fifo.
GEN_SYNC_FIFO : if C_PRMRY_IS_ACLK_ASYNC = 0 generate
signal s2mm_stop_d1 : std_logic := '0';
signal s2mm_stop_re : std_logic := '0';
signal sts_rden : std_logic := '0';
signal follower_empty : std_logic := '0';
signal fifo_empty : std_logic := '0';
signal fifo_out : std_logic_vector (C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0) := (others => '0');
begin
-- Generate Synchronous FIFO
-- I_STSSTRM_FIFO : entity lib_srl_fifo_v1_0.sync_fifo_fg
-- generic map (
-- C_FAMILY => C_FAMILY ,
-- C_MEMORY_TYPE => USE_LOGIC_FIFOS,
-- C_WRITE_DATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
-- C_WRITE_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_READ_DATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
-- C_READ_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_PORTS_DIFFER => 0,
-- C_HAS_DCOUNT => 1, --req for proper fifo operation
-- C_DCOUNT_WIDTH => STSSTRM_FIFO_CNT_WIDTH,
-- C_HAS_ALMOST_FULL => 0,
-- C_HAS_RD_ACK => 0,
-- C_HAS_RD_ERR => 0,
-- C_HAS_WR_ACK => 0,
-- C_HAS_WR_ERR => 0,
-- C_RD_ACK_LOW => 0,
-- C_RD_ERR_LOW => 0,
-- C_WR_ACK_LOW => 0,
-- C_WR_ERR_LOW => 0,
-- C_PRELOAD_REGS => 1,-- 1 = first word fall through
-- C_PRELOAD_LATENCY => 0 -- 0 = first word fall through
-- -- C_USE_EMBEDDED_REG => 1 -- 0 ;
-- )
-- port map (
--
-- Clk => m_axi_sg_aclk ,
-- Sinit => fifo_sinit ,
-- Din => fifo_din ,
-- Wr_en => fifo_wren ,
-- Rd_en => stsstrm_fifo_rden ,
-- Dout => stsstrm_fifo_dout ,
-- Full => fifo_full ,
-- Empty => stsstrm_fifo_empty ,
-- Almost_full => open ,
-- Data_count => open ,
-- Rd_ack => open ,
-- Rd_err => open ,
-- Wr_ack => open ,
-- Wr_err => open
--
-- );
I_UPDT_STS_FIFO : entity lib_srl_fifo_v1_0.srl_fifo_f
generic map (
C_DWIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
C_DEPTH => 16 ,
C_FAMILY => C_FAMILY
)
port map (
Clk => m_axi_sg_aclk ,
Reset => fifo_sinit ,
FIFO_Write => fifo_wren ,
Data_In => fifo_din ,
FIFO_Read => sts_rden, --sts_queue_rden ,
Data_Out => fifo_out, --sts_queue_dout ,
FIFO_Empty => fifo_empty, --sts_queue_empty ,
FIFO_Full => fifo_full ,
Addr => open
);
sts_rden <= (not fifo_empty) and follower_empty;
stsstrm_fifo_empty <= follower_empty;
process (m_axi_sg_aclk)
begin
if (m_axi_sg_aclk'event and m_axi_sg_aclk = '1') then
if (fifo_sinit = '1' or stsstrm_fifo_rden = '1') then
follower_empty <= '1';
elsif (sts_rden = '1') then
follower_empty <= '0';
end if;
end if;
end process;
process (m_axi_sg_aclk)
begin
if (m_axi_sg_aclk'event and m_axi_sg_aclk = '1') then
if (fifo_sinit = '1') then
stsstrm_fifo_dout <= (others => '0');
elsif (sts_rden = '1') then
stsstrm_fifo_dout <= fifo_out;
end if;
end if;
end process;
fifo_sinit <= not m_axi_sg_aresetn;
fifo_din <= sts_tlast & sts_tdata;
fifo_wren <= sts_tvalid and not fifo_full and not rxlength_valid_cdc_from and not mask_tag_write;
sts_tready <= not fifo_sinit and not fifo_full and not rxlength_valid_cdc_from;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- -- Create register delay of status tvalid in order to create a
-- -- rising edge pulse. note xx_re signal will hold at 1 if
-- -- fifo full on rising edge of tvalid.
-- REG_TVALID : process(axi_prmry_aclk)
-- begin
-- if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- sts_tvalid_d1 <= '0';
-- elsif(fifo_full = '0')then
-- sts_tvalid_d1 <= sts_tvalid;
-- end if;
-- end if;
-- end process REG_TVALID;
--
-- -- rising edge on tvalid used to gate off status tag from being
-- -- writen into fifo.
-- sts_tvalid_re <= sts_tvalid and not sts_tvalid_d1;
REG_TAG_STRIPPED : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0')then
tag_stripped <= '0';
-- Reset on write of last word
elsif(fifo_wren = '1' and sts_tlast = '1')then
tag_stripped <= '0';
-- Set on beginning of new status stream
elsif(sts_tready = '1' and sts_tvalid = '1')then
tag_stripped <= '1';
end if;
end if;
end process REG_TAG_STRIPPED;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- REG_MASK_TAG : process(m_axi_sg_aclk)
-- begin
-- if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- mask_tag_hold <= '0';
-- elsif((sts_tvalid_re = '1' and tag_stripped = '0')
-- or (fifo_wren = '1' and sts_tlast = '1'))then
-- mask_tag_hold <= '1';
-- elsif(tag_stripped = '1')then
-- mask_tag_hold <= '0';
-- end if;
-- end if;
-- end process;
--
-- -- Mask TAG if not already masked and rising edge of tvalid
-- mask_tag_write <= not tag_stripped and (sts_tvalid_re or mask_tag_hold);
mask_tag_write <= not tag_stripped and sts_tready and sts_tvalid;
-- Generate logic to capture receive length when Use Receive Length is
-- enabled
GEN_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 1 generate
begin
-- Register receive length on assertion of last and valid
-- Mark rxlength as valid for higher processes
REG_RXLENGTH : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0' or s2mm_rxlength_clr = '1')then
rxlength_cdc_from <= (others => '0');
rxlength_valid_cdc_from <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_cdc_from <= sts_tdata(C_SG_LENGTH_WIDTH-1 downto 0);
rxlength_valid_cdc_from <= '1';
end if;
end if;
end process REG_RXLENGTH;
s2mm_rxlength_valid <= rxlength_valid_cdc_from;
s2mm_rxlength <= rxlength_cdc_from;
end generate GEN_STS_APP_LENGTH;
-- Do NOT generate logic to capture receive length when option disabled
GEN_NO_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 0 generate
begin
s2mm_rxlength_valid <= '0';
s2mm_rxlength <= (others => '0');
end generate GEN_NO_STS_APP_LENGTH;
-- register stop to create re pulse
REG_STOP : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
s2mm_stop_d1 <= '0';
else
s2mm_stop_d1 <= s2mm_stop;
end if;
end if;
end process REG_STOP;
s2mm_stop_re <= s2mm_stop and not s2mm_stop_d1;
skid_rst <= not m_axi_sg_aresetn;
ENABLE_SKID : if C_ENABLE_SKID = 1 generate
begin
---------------------------------------------------------------------------
-- Buffer AXI Signals
---------------------------------------------------------------------------
STS_SKID_BUF_I : entity axi_dma_v7_1.axi_dma_skid_buf
generic map(
C_WDATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH
)
port map(
-- System Ports
ACLK => m_axi_sg_aclk ,
ARST => skid_rst ,
skid_stop => s2mm_stop_re ,
-- Slave Side (Stream Data Input)
S_VALID => s_axis_s2mm_sts_tvalid ,
S_READY => s_axis_s2mm_sts_tready ,
S_Data => s_axis_s2mm_sts_tdata ,
S_STRB => s_axis_s2mm_sts_tkeep ,
S_Last => s_axis_s2mm_sts_tlast ,
-- Master Side (Stream Data Output
M_VALID => sts_tvalid ,
M_READY => sts_tready ,
M_Data => sts_tdata ,
M_STRB => sts_tkeep ,
M_Last => sts_tlast
);
end generate ENABLE_SKID;
DISABLE_SKID : if C_ENABLE_SKID = 0 generate
begin
sts_tvalid <= s_axis_s2mm_sts_tvalid;
s_axis_s2mm_sts_tready <= sts_tready;
sts_tdata <= s_axis_s2mm_sts_tdata;
sts_tkeep <= s_axis_s2mm_sts_tkeep;
sts_tlast <= s_axis_s2mm_sts_tlast;
end generate DISABLE_SKID;
end generate GEN_SYNC_FIFO;
-- Primary Clock is asynchronous to Secondary Clock therfore
-- instantiate an async fifo.
GEN_ASYNC_FIFO : if C_PRMRY_IS_ACLK_ASYNC = 1 generate
ATTRIBUTE async_reg : STRING;
signal s2mm_stop_reg : std_logic := '0'; -- CR605883
signal p_s2mm_stop_d1_cdc_tig : std_logic := '0';
signal p_s2mm_stop_d2 : std_logic := '0';
signal p_s2mm_stop_d3 : std_logic := '0';
signal p_s2mm_stop_re : std_logic := '0';
--ATTRIBUTE async_reg OF p_s2mm_stop_d1_cdc_tig : SIGNAL IS "true";
--ATTRIBUTE async_reg OF p_s2mm_stop_d2 : SIGNAL IS "true";
begin
-- Generate Asynchronous FIFO
I_STSSTRM_FIFO : entity axi_dma_v7_1.axi_dma_afifo_autord
generic map(
C_DWIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1 ,
-- C_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_CNT_WIDTH => STSSTRM_FIFO_CNT_WIDTH ,
C_DEPTH => 15 ,
C_CNT_WIDTH => 4 ,
C_USE_BLKMEM => USE_LOGIC_FIFOS ,
C_FAMILY => C_FAMILY
)
port map(
-- Inputs
AFIFO_Ainit => fifo_sinit ,
AFIFO_Wr_clk => axi_prmry_aclk ,
AFIFO_Wr_en => fifo_wren ,
AFIFO_Din => fifo_din ,
AFIFO_Rd_clk => m_axi_sg_aclk ,
AFIFO_Rd_en => stsstrm_fifo_rden ,
AFIFO_Clr_Rd_Data_Valid => '0' ,
-- Outputs
AFIFO_DValid => open ,
AFIFO_Dout => stsstrm_fifo_dout ,
AFIFO_Full => fifo_full ,
AFIFO_Empty => stsstrm_fifo_empty ,
AFIFO_Almost_full => open ,
AFIFO_Almost_empty => open ,
AFIFO_Wr_count => open ,
AFIFO_Rd_count => open ,
AFIFO_Corr_Rd_count => open ,
AFIFO_Corr_Rd_count_minus1 => open ,
AFIFO_Rd_ack => open
);
fifo_sinit <= not p_reset_n;
fifo_din <= sts_tlast & sts_tdata;
fifo_wren <= sts_tvalid -- valid data
and not fifo_full -- fifo has room
and not rxlength_valid_trdy --rxlength_valid_cdc_from -- not holding a valid length
and not mask_tag_write; -- not masking off tag word
sts_tready <= not fifo_sinit and not fifo_full and not rxlength_valid_trdy; --rxlength_valid_cdc_from;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- -- Create register delay of status tvalid in order to create a
-- -- rising edge pulse. note xx_re signal will hold at 1 if
-- -- fifo full on rising edge of tvalid.
-- REG_TVALID : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- sts_tvalid_d1 <= '0';
-- elsif(fifo_full = '0')then
-- sts_tvalid_d1 <= sts_tvalid;
-- end if;
-- end if;
-- end process REG_TVALID;
-- -- rising edge on tvalid used to gate off status tag from being
-- -- writen into fifo.
-- sts_tvalid_re <= sts_tvalid and not sts_tvalid_d1;
REG_TAG_STRIPPED : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
tag_stripped <= '0';
-- Reset on write of last word
elsif(fifo_wren = '1' and sts_tlast = '1')then
tag_stripped <= '0';
-- Set on beginning of new status stream
elsif(sts_tready = '1' and sts_tvalid = '1')then
tag_stripped <= '1';
end if;
end if;
end process REG_TAG_STRIPPED;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- REG_MASK_TAG : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- mask_tag_hold <= '0';
-- elsif(tag_stripped = '1')then
-- mask_tag_hold <= '0';
--
-- elsif(sts_tvalid_re = '1'
-- or (fifo_wren = '1' and sts_tlast = '1'))then
-- mask_tag_hold <= '1';
-- end if;
-- end if;
-- end process;
--
-- -- Mask TAG if not already masked and rising edge of tvalid
-- mask_tag_write <= not tag_stripped and (sts_tvalid_re or mask_tag_hold);
mask_tag_write <= not tag_stripped and sts_tready and sts_tvalid;
-- Generate logic to capture receive length when Use Receive Length is
-- enabled
GEN_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 1 generate
signal rxlength_clr_d1_cdc_tig : std_logic := '0';
signal rxlength_clr_d2 : std_logic := '0';
signal rxlength_d1_cdc_to : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_d2 : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_valid_d1_cdc_to : std_logic := '0';
signal rxlength_valid_d2_cdc_from : std_logic := '0';
signal rxlength_valid_d3 : std_logic := '0';
signal rxlength_valid_d4 : std_logic := '0';
signal rxlength_valid_d1_back_cdc_to, rxlength_valid_d2_back : std_logic := '0';
ATTRIBUTE async_reg : STRING;
--ATTRIBUTE async_reg OF rxlength_d1_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_d2 : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d1_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d1_back_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d2_back : SIGNAL IS "true";
begin
-- Double register from secondary clock domain to primary
S2P_CLK_CROSS : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => s2mm_rxlength_clr,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => rxlength_clr_d2,
scndry_vect_out => open
);
-- S2P_CLK_CROSS : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(p_reset_n = '0')then
-- rxlength_clr_d1_cdc_tig <= '0';
-- rxlength_clr_d2 <= '0';
-- else
-- rxlength_clr_d1_cdc_tig <= s2mm_rxlength_clr;
-- rxlength_clr_d2 <= rxlength_clr_d1_cdc_tig;
-- end if;
-- end if;
-- end process S2P_CLK_CROSS;
-- Register receive length on assertion of last and valid
-- Mark rxlength as valid for higher processes
TRDY_RXLENGTH : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0' or rxlength_clr_d2 = '1')then
rxlength_valid_trdy <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_valid_trdy <= '1';
end if;
end if;
end process TRDY_RXLENGTH;
REG_RXLENGTH : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0') then -- or rxlength_clr_d2 = '1')then
rxlength_cdc_from <= (others => '0');
rxlength_valid_cdc_from <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_cdc_from <= sts_tdata(C_SG_LENGTH_WIDTH-1 downto 0);
rxlength_valid_cdc_from <= '1';
elsif (rxlength_valid_d2_back = '1') then
rxlength_valid_cdc_from <= '0';
end if;
end if;
end process REG_RXLENGTH;
SYNC_RXLENGTH : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => rxlength_valid_d2_cdc_from,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => rxlength_valid_d2_back,
scndry_vect_out => open
);
-- SYNC_RXLENGTH : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(p_reset_n = '0') then -- or rxlength_clr_d2 = '1')then
--
-- rxlength_valid_d1_back_cdc_to <= '0';
-- rxlength_valid_d2_back <= '0';
-- else
-- rxlength_valid_d1_back_cdc_to <= rxlength_valid_d2_cdc_from;
-- rxlength_valid_d2_back <= rxlength_valid_d1_back_cdc_to;
--
-- end if;
-- end if;
-- end process SYNC_RXLENGTH;
-- Double register from primary clock domain to secondary
P2S_CLK_CROSS : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => rxlength_valid_cdc_from,
prmry_vect_in => (others => '0'),
scndry_aclk => m_axi_sg_aclk,
scndry_resetn => '0',
scndry_out => rxlength_valid_d2_cdc_from,
scndry_vect_out => open
);
P2S_CLK_CROSS2 : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 0,
C_VECTOR_WIDTH => C_SG_LENGTH_WIDTH,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => '0',
prmry_vect_in => rxlength_cdc_from,
scndry_aclk => m_axi_sg_aclk,
scndry_resetn => '0',
scndry_out => open,
scndry_vect_out => rxlength_d2
);
P2S_CLK_CROSS1 : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0') then -- or s2mm_rxlength_clr = '1') then
-- rxlength_d1_cdc_to <= (others => '0');
-- rxlength_d2 <= (others => '0');
-- rxlength_valid_d1_cdc_to <= '0';
-- rxlength_valid_d2_cdc_from <= '0';
rxlength_valid_d3 <= '0';
else
-- rxlength_d1_cdc_to <= rxlength_cdc_from;
-- rxlength_d2 <= rxlength_d1_cdc_to;
-- rxlength_valid_d1_cdc_to <= rxlength_valid_cdc_from;
-- rxlength_valid_d2_cdc_from <= rxlength_valid_d1_cdc_to;
rxlength_valid_d3 <= rxlength_valid_d2_cdc_from;
end if;
end if;
end process P2S_CLK_CROSS1;
process (m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0' or s2mm_rxlength_clr = '1')then
rxlength_valid_d4 <= '0';
elsif (rxlength_valid_d3 = '1' and rxlength_valid_d2_cdc_from = '0') then
rxlength_valid_d4 <= '1';
end if;
end if;
end process;
s2mm_rxlength <= rxlength_d2;
-- s2mm_rxlength_valid <= rxlength_valid_d2;
s2mm_rxlength_valid <= rxlength_valid_d4;
end generate GEN_STS_APP_LENGTH;
-- Do NOT generate logic to capture receive length when option disabled
GEN_NO_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 0 generate
s2mm_rxlength_valid <= '0';
s2mm_rxlength <= (others => '0');
end generate GEN_NO_STS_APP_LENGTH;
-- CR605883
-- Register stop to provide pure FF output for synchronizer
REG_STOP : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0')then
s2mm_stop_reg <= '0';
else
s2mm_stop_reg <= s2mm_stop;
end if;
end if;
end process REG_STOP;
-- double register s2mm error into primary clock domain
REG_ERR2PRMRY : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => s2mm_stop_reg,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => p_s2mm_stop_d2,
scndry_vect_out => open
);
REG_ERR2PRMRY1 : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
-- p_s2mm_stop_d1_cdc_tig <= '0';
-- p_s2mm_stop_d2 <= '0';
p_s2mm_stop_d3 <= '0';
else
--p_s2mm_stop_d1_cdc_tig <= s2mm_stop; -- CR605883
-- p_s2mm_stop_d1_cdc_tig <= s2mm_stop_reg;
-- p_s2mm_stop_d2 <= p_s2mm_stop_d1_cdc_tig;
p_s2mm_stop_d3 <= p_s2mm_stop_d2;
end if;
end if;
end process REG_ERR2PRMRY1;
p_s2mm_stop_re <= p_s2mm_stop_d2 and not p_s2mm_stop_d3;
skid_rst <= not p_reset_n;
---------------------------------------------------------------------------
-- Buffer AXI Signals
---------------------------------------------------------------------------
STS_SKID_BUF_I : entity axi_dma_v7_1.axi_dma_skid_buf
generic map(
C_WDATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH
)
port map(
-- System Ports
ACLK => axi_prmry_aclk ,
ARST => skid_rst ,
skid_stop => p_s2mm_stop_re ,
-- Slave Side (Stream Data Input)
S_VALID => s_axis_s2mm_sts_tvalid ,
S_READY => s_axis_s2mm_sts_tready ,
S_Data => s_axis_s2mm_sts_tdata ,
S_STRB => s_axis_s2mm_sts_tkeep ,
S_Last => s_axis_s2mm_sts_tlast ,
-- Master Side (Stream Data Output
M_VALID => sts_tvalid ,
M_READY => sts_tready ,
M_Data => sts_tdata ,
M_STRB => sts_tkeep ,
M_Last => sts_tlast
);
end generate GEN_ASYNC_FIFO;
end implementation;
|
-- (c) Copyright 2012 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
------------------------------------------------------------
-------------------------------------------------------------------------------
-- Filename: axi_dma_s2mm_sts_strm.vhd.vhd
-- Description: This entity is the AXI Status Stream Interface
--
-- VHDL-Standard: VHDL'93
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.std_logic_misc.all;
library unisim;
use unisim.vcomponents.all;
library axi_dma_v7_1;
use axi_dma_v7_1.axi_dma_pkg.all;
library lib_srl_fifo_v1_0;
library lib_cdc_v1_0;
library lib_pkg_v1_0;
use lib_pkg_v1_0.lib_pkg.all;
-------------------------------------------------------------------------------
entity axi_dma_s2mm_sts_strm is
generic (
C_PRMRY_IS_ACLK_ASYNC : integer range 0 to 1 := 0;
-- Primary MM2S/S2MM sync/async mode
-- 0 = synchronous mode - all clocks are synchronous
-- 1 = asynchronous mode - Primary data path channels (MM2S and S2MM)
-- run asynchronous to AXI Lite, DMA Control,
-- and SG.
-----------------------------------------------------------------------
-- Scatter Gather Parameters
-----------------------------------------------------------------------
C_S_AXIS_S2MM_STS_TDATA_WIDTH : integer range 32 to 32 := 32;
-- Slave AXI Status Stream Data Width
C_SG_USE_STSAPP_LENGTH : integer range 0 to 1 := 1;
-- Enable or Disable use of Status Stream Rx Length. Only valid
-- if C_SG_INCLUDE_STSCNTRL_STRM = 1
-- 0 = Don't use Rx Length
-- 1 = Use Rx Length
C_SG_LENGTH_WIDTH : integer range 8 to 23 := 14;
-- Descriptor Buffer Length, Transferred Bytes, and Status Stream
-- Rx Length Width. Indicates the least significant valid bits of
-- descriptor buffer length, transferred bytes, or Rx Length value
-- in the status word coincident with tlast.
C_ENABLE_SKID : integer range 0 to 1 := 0;
C_FAMILY : string := "virtex5"
-- Target FPGA Device Family
);
port (
m_axi_sg_aclk : in std_logic ; --
m_axi_sg_aresetn : in std_logic ; --
--
axi_prmry_aclk : in std_logic ; --
p_reset_n : in std_logic ; --
--
s2mm_stop : in std_logic ; --
--
s2mm_rxlength_valid : out std_logic ; --
s2mm_rxlength_clr : in std_logic ; --
s2mm_rxlength : out std_logic_vector --
(C_SG_LENGTH_WIDTH - 1 downto 0) ; --
--
stsstrm_fifo_rden : in std_logic ; --
stsstrm_fifo_empty : out std_logic ; --
stsstrm_fifo_dout : out std_logic_vector --
(C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0); --
--
-- Stream to Memory Map Status Stream Interface --
s_axis_s2mm_sts_tdata : in std_logic_vector --
(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0); --
s_axis_s2mm_sts_tkeep : in std_logic_vector --
((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0); --
s_axis_s2mm_sts_tvalid : in std_logic ; --
s_axis_s2mm_sts_tready : out std_logic ; --
s_axis_s2mm_sts_tlast : in std_logic --
);
end axi_dma_s2mm_sts_strm;
-------------------------------------------------------------------------------
-- Architecture
-------------------------------------------------------------------------------
architecture implementation of axi_dma_s2mm_sts_strm is
attribute DowngradeIPIdentifiedWarnings: string;
attribute DowngradeIPIdentifiedWarnings of implementation : architecture is "yes";
-------------------------------------------------------------------------------
-- Functions
-------------------------------------------------------------------------------
-- No Functions Declared
-------------------------------------------------------------------------------
-- Constants Declarations
-------------------------------------------------------------------------------
-- Status Stream FIFO Depth
constant STSSTRM_FIFO_DEPTH : integer := 16;
-- Status Stream FIFO Data Count Width (Unsused)
constant STSSTRM_FIFO_CNT_WIDTH : integer := clog2(STSSTRM_FIFO_DEPTH+1);
constant USE_LOGIC_FIFOS : integer := 0; -- Use Logic FIFOs
constant USE_BRAM_FIFOS : integer := 1; -- Use BRAM FIFOs
-------------------------------------------------------------------------------
-- Signal / Type Declarations
-------------------------------------------------------------------------------
signal fifo_full : std_logic := '0';
signal fifo_din : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0) := (others => '0');
signal fifo_wren : std_logic := '0';
signal fifo_sinit : std_logic := '0';
signal rxlength_cdc_from : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_valid_cdc_from : std_logic := '0';
signal rxlength_valid_trdy : std_logic := '0';
--signal sts_tvalid_re : std_logic := '0';-- CR565502
--signal sts_tvalid_d1 : std_logic := '0';-- CR565502
signal sts_tvalid : std_logic := '0';
signal sts_tready : std_logic := '0';
signal sts_tdata : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0) := (others => '0');
signal sts_tkeep : std_logic_vector((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0) := (others => '0');
signal sts_tlast : std_logic := '0';
signal m_tvalid : std_logic := '0';
signal m_tready : std_logic := '0';
signal m_tdata : std_logic_vector(C_S_AXIS_S2MM_STS_TDATA_WIDTH-1 downto 0) := (others => '0');
signal m_tkeep : std_logic_vector((C_S_AXIS_S2MM_STS_TDATA_WIDTH/8)-1 downto 0) := (others => '0');
signal m_tlast : std_logic := '0';
signal tag_stripped : std_logic := '0';
signal mask_tag_write : std_logic := '0';
--signal mask_tag_hold : std_logic := '0';-- CR565502
signal skid_rst : std_logic := '0';
-------------------------------------------------------------------------------
-- Begin architecture logic
-------------------------------------------------------------------------------
begin
-- Primary Clock is synchronous to Secondary Clock therfore
-- instantiate a sync fifo.
GEN_SYNC_FIFO : if C_PRMRY_IS_ACLK_ASYNC = 0 generate
signal s2mm_stop_d1 : std_logic := '0';
signal s2mm_stop_re : std_logic := '0';
signal sts_rden : std_logic := '0';
signal follower_empty : std_logic := '0';
signal fifo_empty : std_logic := '0';
signal fifo_out : std_logic_vector (C_S_AXIS_S2MM_STS_TDATA_WIDTH downto 0) := (others => '0');
begin
-- Generate Synchronous FIFO
-- I_STSSTRM_FIFO : entity lib_srl_fifo_v1_0.sync_fifo_fg
-- generic map (
-- C_FAMILY => C_FAMILY ,
-- C_MEMORY_TYPE => USE_LOGIC_FIFOS,
-- C_WRITE_DATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
-- C_WRITE_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_READ_DATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
-- C_READ_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_PORTS_DIFFER => 0,
-- C_HAS_DCOUNT => 1, --req for proper fifo operation
-- C_DCOUNT_WIDTH => STSSTRM_FIFO_CNT_WIDTH,
-- C_HAS_ALMOST_FULL => 0,
-- C_HAS_RD_ACK => 0,
-- C_HAS_RD_ERR => 0,
-- C_HAS_WR_ACK => 0,
-- C_HAS_WR_ERR => 0,
-- C_RD_ACK_LOW => 0,
-- C_RD_ERR_LOW => 0,
-- C_WR_ACK_LOW => 0,
-- C_WR_ERR_LOW => 0,
-- C_PRELOAD_REGS => 1,-- 1 = first word fall through
-- C_PRELOAD_LATENCY => 0 -- 0 = first word fall through
-- -- C_USE_EMBEDDED_REG => 1 -- 0 ;
-- )
-- port map (
--
-- Clk => m_axi_sg_aclk ,
-- Sinit => fifo_sinit ,
-- Din => fifo_din ,
-- Wr_en => fifo_wren ,
-- Rd_en => stsstrm_fifo_rden ,
-- Dout => stsstrm_fifo_dout ,
-- Full => fifo_full ,
-- Empty => stsstrm_fifo_empty ,
-- Almost_full => open ,
-- Data_count => open ,
-- Rd_ack => open ,
-- Rd_err => open ,
-- Wr_ack => open ,
-- Wr_err => open
--
-- );
I_UPDT_STS_FIFO : entity lib_srl_fifo_v1_0.srl_fifo_f
generic map (
C_DWIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1,
C_DEPTH => 16 ,
C_FAMILY => C_FAMILY
)
port map (
Clk => m_axi_sg_aclk ,
Reset => fifo_sinit ,
FIFO_Write => fifo_wren ,
Data_In => fifo_din ,
FIFO_Read => sts_rden, --sts_queue_rden ,
Data_Out => fifo_out, --sts_queue_dout ,
FIFO_Empty => fifo_empty, --sts_queue_empty ,
FIFO_Full => fifo_full ,
Addr => open
);
sts_rden <= (not fifo_empty) and follower_empty;
stsstrm_fifo_empty <= follower_empty;
process (m_axi_sg_aclk)
begin
if (m_axi_sg_aclk'event and m_axi_sg_aclk = '1') then
if (fifo_sinit = '1' or stsstrm_fifo_rden = '1') then
follower_empty <= '1';
elsif (sts_rden = '1') then
follower_empty <= '0';
end if;
end if;
end process;
process (m_axi_sg_aclk)
begin
if (m_axi_sg_aclk'event and m_axi_sg_aclk = '1') then
if (fifo_sinit = '1') then
stsstrm_fifo_dout <= (others => '0');
elsif (sts_rden = '1') then
stsstrm_fifo_dout <= fifo_out;
end if;
end if;
end process;
fifo_sinit <= not m_axi_sg_aresetn;
fifo_din <= sts_tlast & sts_tdata;
fifo_wren <= sts_tvalid and not fifo_full and not rxlength_valid_cdc_from and not mask_tag_write;
sts_tready <= not fifo_sinit and not fifo_full and not rxlength_valid_cdc_from;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- -- Create register delay of status tvalid in order to create a
-- -- rising edge pulse. note xx_re signal will hold at 1 if
-- -- fifo full on rising edge of tvalid.
-- REG_TVALID : process(axi_prmry_aclk)
-- begin
-- if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- sts_tvalid_d1 <= '0';
-- elsif(fifo_full = '0')then
-- sts_tvalid_d1 <= sts_tvalid;
-- end if;
-- end if;
-- end process REG_TVALID;
--
-- -- rising edge on tvalid used to gate off status tag from being
-- -- writen into fifo.
-- sts_tvalid_re <= sts_tvalid and not sts_tvalid_d1;
REG_TAG_STRIPPED : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0')then
tag_stripped <= '0';
-- Reset on write of last word
elsif(fifo_wren = '1' and sts_tlast = '1')then
tag_stripped <= '0';
-- Set on beginning of new status stream
elsif(sts_tready = '1' and sts_tvalid = '1')then
tag_stripped <= '1';
end if;
end if;
end process REG_TAG_STRIPPED;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- REG_MASK_TAG : process(m_axi_sg_aclk)
-- begin
-- if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- mask_tag_hold <= '0';
-- elsif((sts_tvalid_re = '1' and tag_stripped = '0')
-- or (fifo_wren = '1' and sts_tlast = '1'))then
-- mask_tag_hold <= '1';
-- elsif(tag_stripped = '1')then
-- mask_tag_hold <= '0';
-- end if;
-- end if;
-- end process;
--
-- -- Mask TAG if not already masked and rising edge of tvalid
-- mask_tag_write <= not tag_stripped and (sts_tvalid_re or mask_tag_hold);
mask_tag_write <= not tag_stripped and sts_tready and sts_tvalid;
-- Generate logic to capture receive length when Use Receive Length is
-- enabled
GEN_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 1 generate
begin
-- Register receive length on assertion of last and valid
-- Mark rxlength as valid for higher processes
REG_RXLENGTH : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0' or s2mm_rxlength_clr = '1')then
rxlength_cdc_from <= (others => '0');
rxlength_valid_cdc_from <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_cdc_from <= sts_tdata(C_SG_LENGTH_WIDTH-1 downto 0);
rxlength_valid_cdc_from <= '1';
end if;
end if;
end process REG_RXLENGTH;
s2mm_rxlength_valid <= rxlength_valid_cdc_from;
s2mm_rxlength <= rxlength_cdc_from;
end generate GEN_STS_APP_LENGTH;
-- Do NOT generate logic to capture receive length when option disabled
GEN_NO_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 0 generate
begin
s2mm_rxlength_valid <= '0';
s2mm_rxlength <= (others => '0');
end generate GEN_NO_STS_APP_LENGTH;
-- register stop to create re pulse
REG_STOP : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
s2mm_stop_d1 <= '0';
else
s2mm_stop_d1 <= s2mm_stop;
end if;
end if;
end process REG_STOP;
s2mm_stop_re <= s2mm_stop and not s2mm_stop_d1;
skid_rst <= not m_axi_sg_aresetn;
ENABLE_SKID : if C_ENABLE_SKID = 1 generate
begin
---------------------------------------------------------------------------
-- Buffer AXI Signals
---------------------------------------------------------------------------
STS_SKID_BUF_I : entity axi_dma_v7_1.axi_dma_skid_buf
generic map(
C_WDATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH
)
port map(
-- System Ports
ACLK => m_axi_sg_aclk ,
ARST => skid_rst ,
skid_stop => s2mm_stop_re ,
-- Slave Side (Stream Data Input)
S_VALID => s_axis_s2mm_sts_tvalid ,
S_READY => s_axis_s2mm_sts_tready ,
S_Data => s_axis_s2mm_sts_tdata ,
S_STRB => s_axis_s2mm_sts_tkeep ,
S_Last => s_axis_s2mm_sts_tlast ,
-- Master Side (Stream Data Output
M_VALID => sts_tvalid ,
M_READY => sts_tready ,
M_Data => sts_tdata ,
M_STRB => sts_tkeep ,
M_Last => sts_tlast
);
end generate ENABLE_SKID;
DISABLE_SKID : if C_ENABLE_SKID = 0 generate
begin
sts_tvalid <= s_axis_s2mm_sts_tvalid;
s_axis_s2mm_sts_tready <= sts_tready;
sts_tdata <= s_axis_s2mm_sts_tdata;
sts_tkeep <= s_axis_s2mm_sts_tkeep;
sts_tlast <= s_axis_s2mm_sts_tlast;
end generate DISABLE_SKID;
end generate GEN_SYNC_FIFO;
-- Primary Clock is asynchronous to Secondary Clock therfore
-- instantiate an async fifo.
GEN_ASYNC_FIFO : if C_PRMRY_IS_ACLK_ASYNC = 1 generate
ATTRIBUTE async_reg : STRING;
signal s2mm_stop_reg : std_logic := '0'; -- CR605883
signal p_s2mm_stop_d1_cdc_tig : std_logic := '0';
signal p_s2mm_stop_d2 : std_logic := '0';
signal p_s2mm_stop_d3 : std_logic := '0';
signal p_s2mm_stop_re : std_logic := '0';
--ATTRIBUTE async_reg OF p_s2mm_stop_d1_cdc_tig : SIGNAL IS "true";
--ATTRIBUTE async_reg OF p_s2mm_stop_d2 : SIGNAL IS "true";
begin
-- Generate Asynchronous FIFO
I_STSSTRM_FIFO : entity axi_dma_v7_1.axi_dma_afifo_autord
generic map(
C_DWIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH + 1 ,
-- C_DEPTH => STSSTRM_FIFO_DEPTH ,
-- C_CNT_WIDTH => STSSTRM_FIFO_CNT_WIDTH ,
C_DEPTH => 15 ,
C_CNT_WIDTH => 4 ,
C_USE_BLKMEM => USE_LOGIC_FIFOS ,
C_FAMILY => C_FAMILY
)
port map(
-- Inputs
AFIFO_Ainit => fifo_sinit ,
AFIFO_Wr_clk => axi_prmry_aclk ,
AFIFO_Wr_en => fifo_wren ,
AFIFO_Din => fifo_din ,
AFIFO_Rd_clk => m_axi_sg_aclk ,
AFIFO_Rd_en => stsstrm_fifo_rden ,
AFIFO_Clr_Rd_Data_Valid => '0' ,
-- Outputs
AFIFO_DValid => open ,
AFIFO_Dout => stsstrm_fifo_dout ,
AFIFO_Full => fifo_full ,
AFIFO_Empty => stsstrm_fifo_empty ,
AFIFO_Almost_full => open ,
AFIFO_Almost_empty => open ,
AFIFO_Wr_count => open ,
AFIFO_Rd_count => open ,
AFIFO_Corr_Rd_count => open ,
AFIFO_Corr_Rd_count_minus1 => open ,
AFIFO_Rd_ack => open
);
fifo_sinit <= not p_reset_n;
fifo_din <= sts_tlast & sts_tdata;
fifo_wren <= sts_tvalid -- valid data
and not fifo_full -- fifo has room
and not rxlength_valid_trdy --rxlength_valid_cdc_from -- not holding a valid length
and not mask_tag_write; -- not masking off tag word
sts_tready <= not fifo_sinit and not fifo_full and not rxlength_valid_trdy; --rxlength_valid_cdc_from;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- -- Create register delay of status tvalid in order to create a
-- -- rising edge pulse. note xx_re signal will hold at 1 if
-- -- fifo full on rising edge of tvalid.
-- REG_TVALID : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- sts_tvalid_d1 <= '0';
-- elsif(fifo_full = '0')then
-- sts_tvalid_d1 <= sts_tvalid;
-- end if;
-- end if;
-- end process REG_TVALID;
-- -- rising edge on tvalid used to gate off status tag from being
-- -- writen into fifo.
-- sts_tvalid_re <= sts_tvalid and not sts_tvalid_d1;
REG_TAG_STRIPPED : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
tag_stripped <= '0';
-- Reset on write of last word
elsif(fifo_wren = '1' and sts_tlast = '1')then
tag_stripped <= '0';
-- Set on beginning of new status stream
elsif(sts_tready = '1' and sts_tvalid = '1')then
tag_stripped <= '1';
end if;
end if;
end process REG_TAG_STRIPPED;
-- CR565502 - particular throttle condition caused masking of tag write to not occur
-- simplified logic will provide more robust handling of tag write mask
-- REG_MASK_TAG : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(m_axi_sg_aresetn = '0')then
-- mask_tag_hold <= '0';
-- elsif(tag_stripped = '1')then
-- mask_tag_hold <= '0';
--
-- elsif(sts_tvalid_re = '1'
-- or (fifo_wren = '1' and sts_tlast = '1'))then
-- mask_tag_hold <= '1';
-- end if;
-- end if;
-- end process;
--
-- -- Mask TAG if not already masked and rising edge of tvalid
-- mask_tag_write <= not tag_stripped and (sts_tvalid_re or mask_tag_hold);
mask_tag_write <= not tag_stripped and sts_tready and sts_tvalid;
-- Generate logic to capture receive length when Use Receive Length is
-- enabled
GEN_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 1 generate
signal rxlength_clr_d1_cdc_tig : std_logic := '0';
signal rxlength_clr_d2 : std_logic := '0';
signal rxlength_d1_cdc_to : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_d2 : std_logic_vector(C_SG_LENGTH_WIDTH-1 downto 0) := (others => '0');
signal rxlength_valid_d1_cdc_to : std_logic := '0';
signal rxlength_valid_d2_cdc_from : std_logic := '0';
signal rxlength_valid_d3 : std_logic := '0';
signal rxlength_valid_d4 : std_logic := '0';
signal rxlength_valid_d1_back_cdc_to, rxlength_valid_d2_back : std_logic := '0';
ATTRIBUTE async_reg : STRING;
--ATTRIBUTE async_reg OF rxlength_d1_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_d2 : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d1_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d1_back_cdc_to : SIGNAL IS "true";
--ATTRIBUTE async_reg OF rxlength_valid_d2_back : SIGNAL IS "true";
begin
-- Double register from secondary clock domain to primary
S2P_CLK_CROSS : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => s2mm_rxlength_clr,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => rxlength_clr_d2,
scndry_vect_out => open
);
-- S2P_CLK_CROSS : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(p_reset_n = '0')then
-- rxlength_clr_d1_cdc_tig <= '0';
-- rxlength_clr_d2 <= '0';
-- else
-- rxlength_clr_d1_cdc_tig <= s2mm_rxlength_clr;
-- rxlength_clr_d2 <= rxlength_clr_d1_cdc_tig;
-- end if;
-- end if;
-- end process S2P_CLK_CROSS;
-- Register receive length on assertion of last and valid
-- Mark rxlength as valid for higher processes
TRDY_RXLENGTH : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0' or rxlength_clr_d2 = '1')then
rxlength_valid_trdy <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_valid_trdy <= '1';
end if;
end if;
end process TRDY_RXLENGTH;
REG_RXLENGTH : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0') then -- or rxlength_clr_d2 = '1')then
rxlength_cdc_from <= (others => '0');
rxlength_valid_cdc_from <= '0';
elsif(sts_tlast = '1' and sts_tvalid = '1' and sts_tready = '1')then
rxlength_cdc_from <= sts_tdata(C_SG_LENGTH_WIDTH-1 downto 0);
rxlength_valid_cdc_from <= '1';
elsif (rxlength_valid_d2_back = '1') then
rxlength_valid_cdc_from <= '0';
end if;
end if;
end process REG_RXLENGTH;
SYNC_RXLENGTH : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => rxlength_valid_d2_cdc_from,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => rxlength_valid_d2_back,
scndry_vect_out => open
);
-- SYNC_RXLENGTH : process(axi_prmry_aclk)
-- begin
-- if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
-- if(p_reset_n = '0') then -- or rxlength_clr_d2 = '1')then
--
-- rxlength_valid_d1_back_cdc_to <= '0';
-- rxlength_valid_d2_back <= '0';
-- else
-- rxlength_valid_d1_back_cdc_to <= rxlength_valid_d2_cdc_from;
-- rxlength_valid_d2_back <= rxlength_valid_d1_back_cdc_to;
--
-- end if;
-- end if;
-- end process SYNC_RXLENGTH;
-- Double register from primary clock domain to secondary
P2S_CLK_CROSS : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => rxlength_valid_cdc_from,
prmry_vect_in => (others => '0'),
scndry_aclk => m_axi_sg_aclk,
scndry_resetn => '0',
scndry_out => rxlength_valid_d2_cdc_from,
scndry_vect_out => open
);
P2S_CLK_CROSS2 : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 0,
C_VECTOR_WIDTH => C_SG_LENGTH_WIDTH,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => '0',
prmry_vect_in => rxlength_cdc_from,
scndry_aclk => m_axi_sg_aclk,
scndry_resetn => '0',
scndry_out => open,
scndry_vect_out => rxlength_d2
);
P2S_CLK_CROSS1 : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0') then -- or s2mm_rxlength_clr = '1') then
-- rxlength_d1_cdc_to <= (others => '0');
-- rxlength_d2 <= (others => '0');
-- rxlength_valid_d1_cdc_to <= '0';
-- rxlength_valid_d2_cdc_from <= '0';
rxlength_valid_d3 <= '0';
else
-- rxlength_d1_cdc_to <= rxlength_cdc_from;
-- rxlength_d2 <= rxlength_d1_cdc_to;
-- rxlength_valid_d1_cdc_to <= rxlength_valid_cdc_from;
-- rxlength_valid_d2_cdc_from <= rxlength_valid_d1_cdc_to;
rxlength_valid_d3 <= rxlength_valid_d2_cdc_from;
end if;
end if;
end process P2S_CLK_CROSS1;
process (m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0' or s2mm_rxlength_clr = '1')then
rxlength_valid_d4 <= '0';
elsif (rxlength_valid_d3 = '1' and rxlength_valid_d2_cdc_from = '0') then
rxlength_valid_d4 <= '1';
end if;
end if;
end process;
s2mm_rxlength <= rxlength_d2;
-- s2mm_rxlength_valid <= rxlength_valid_d2;
s2mm_rxlength_valid <= rxlength_valid_d4;
end generate GEN_STS_APP_LENGTH;
-- Do NOT generate logic to capture receive length when option disabled
GEN_NO_STS_APP_LENGTH : if C_SG_USE_STSAPP_LENGTH = 0 generate
s2mm_rxlength_valid <= '0';
s2mm_rxlength <= (others => '0');
end generate GEN_NO_STS_APP_LENGTH;
-- CR605883
-- Register stop to provide pure FF output for synchronizer
REG_STOP : process(m_axi_sg_aclk)
begin
if(m_axi_sg_aclk'EVENT and m_axi_sg_aclk = '1')then
if(m_axi_sg_aresetn = '0')then
s2mm_stop_reg <= '0';
else
s2mm_stop_reg <= s2mm_stop;
end if;
end if;
end process REG_STOP;
-- double register s2mm error into primary clock domain
REG_ERR2PRMRY : entity lib_cdc_v1_0.cdc_sync
generic map (
C_CDC_TYPE => 1,
C_RESET_STATE => 0,
C_SINGLE_BIT => 1,
C_VECTOR_WIDTH => 32,
C_MTBF_STAGES => MTBF_STAGES
)
port map (
prmry_aclk => '0',
prmry_resetn => '0',
prmry_in => s2mm_stop_reg,
prmry_vect_in => (others => '0'),
scndry_aclk => axi_prmry_aclk,
scndry_resetn => '0',
scndry_out => p_s2mm_stop_d2,
scndry_vect_out => open
);
REG_ERR2PRMRY1 : process(axi_prmry_aclk)
begin
if(axi_prmry_aclk'EVENT and axi_prmry_aclk = '1')then
if(p_reset_n = '0')then
-- p_s2mm_stop_d1_cdc_tig <= '0';
-- p_s2mm_stop_d2 <= '0';
p_s2mm_stop_d3 <= '0';
else
--p_s2mm_stop_d1_cdc_tig <= s2mm_stop; -- CR605883
-- p_s2mm_stop_d1_cdc_tig <= s2mm_stop_reg;
-- p_s2mm_stop_d2 <= p_s2mm_stop_d1_cdc_tig;
p_s2mm_stop_d3 <= p_s2mm_stop_d2;
end if;
end if;
end process REG_ERR2PRMRY1;
p_s2mm_stop_re <= p_s2mm_stop_d2 and not p_s2mm_stop_d3;
skid_rst <= not p_reset_n;
---------------------------------------------------------------------------
-- Buffer AXI Signals
---------------------------------------------------------------------------
STS_SKID_BUF_I : entity axi_dma_v7_1.axi_dma_skid_buf
generic map(
C_WDATA_WIDTH => C_S_AXIS_S2MM_STS_TDATA_WIDTH
)
port map(
-- System Ports
ACLK => axi_prmry_aclk ,
ARST => skid_rst ,
skid_stop => p_s2mm_stop_re ,
-- Slave Side (Stream Data Input)
S_VALID => s_axis_s2mm_sts_tvalid ,
S_READY => s_axis_s2mm_sts_tready ,
S_Data => s_axis_s2mm_sts_tdata ,
S_STRB => s_axis_s2mm_sts_tkeep ,
S_Last => s_axis_s2mm_sts_tlast ,
-- Master Side (Stream Data Output
M_VALID => sts_tvalid ,
M_READY => sts_tready ,
M_Data => sts_tdata ,
M_STRB => sts_tkeep ,
M_Last => sts_tlast
);
end generate GEN_ASYNC_FIFO;
end implementation;
|
library ieee;
use ieee.std_logic_1164.all;
library ieee;
use ieee.numeric_std.all;
entity mul_566 is
port (
result : out std_logic_vector(31 downto 0);
in_a : in std_logic_vector(31 downto 0);
in_b : in std_logic_vector(14 downto 0)
);
end mul_566;
architecture augh of mul_566 is
signal tmp_res : signed(46 downto 0);
begin
-- The actual multiplication
tmp_res <= signed(in_a) * signed(in_b);
-- Set the output
result <= std_logic_vector(tmp_res(31 downto 0));
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
library ieee;
use ieee.numeric_std.all;
entity mul_566 is
port (
result : out std_logic_vector(31 downto 0);
in_a : in std_logic_vector(31 downto 0);
in_b : in std_logic_vector(14 downto 0)
);
end mul_566;
architecture augh of mul_566 is
signal tmp_res : signed(46 downto 0);
begin
-- The actual multiplication
tmp_res <= signed(in_a) * signed(in_b);
-- Set the output
result <= std_logic_vector(tmp_res(31 downto 0));
end architecture;
|
--------------------------------------------------------------------------------
--
-- BLK MEM GEN v7.1 Core - Top-level core wrapper
--
--------------------------------------------------------------------------------
--
-- (c) Copyright 2006-2010 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--------------------------------------------------------------------------------
--
-- Filename: DAQ_MEM_exdes.vhd
--
-- Description:
-- This is the actual BMG core wrapper.
--
--------------------------------------------------------------------------------
-- Author: IP Solutions Division
--
-- History: August 31, 2005 - First Release
--------------------------------------------------------------------------------
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE IEEE.STD_LOGIC_ARITH.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
LIBRARY UNISIM;
USE UNISIM.VCOMPONENTS.ALL;
--------------------------------------------------------------------------------
-- Entity Declaration
--------------------------------------------------------------------------------
ENTITY DAQ_MEM_exdes IS
PORT (
--Inputs - Port A
WEA : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
ADDRA : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
DINA : IN STD_LOGIC_VECTOR(13 DOWNTO 0);
CLKA : IN STD_LOGIC;
--Inputs - Port B
ADDRB : IN STD_LOGIC_VECTOR(10 DOWNTO 0);
DOUTB : OUT STD_LOGIC_VECTOR(6 DOWNTO 0);
CLKB : IN STD_LOGIC
);
END DAQ_MEM_exdes;
ARCHITECTURE xilinx OF DAQ_MEM_exdes IS
COMPONENT BUFG IS
PORT (
I : IN STD_ULOGIC;
O : OUT STD_ULOGIC
);
END COMPONENT;
COMPONENT DAQ_MEM IS
PORT (
--Port A
WEA : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
ADDRA : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
DINA : IN STD_LOGIC_VECTOR(13 DOWNTO 0);
CLKA : IN STD_LOGIC;
--Port B
ADDRB : IN STD_LOGIC_VECTOR(10 DOWNTO 0);
DOUTB : OUT STD_LOGIC_VECTOR(6 DOWNTO 0);
CLKB : IN STD_LOGIC
);
END COMPONENT;
SIGNAL CLKA_buf : STD_LOGIC;
SIGNAL CLKB_buf : STD_LOGIC;
SIGNAL S_ACLK_buf : STD_LOGIC;
BEGIN
bufg_A : BUFG
PORT MAP (
I => CLKA,
O => CLKA_buf
);
bufg_B : BUFG
PORT MAP (
I => CLKB,
O => CLKB_buf
);
bmg0 : DAQ_MEM
PORT MAP (
--Port A
WEA => WEA,
ADDRA => ADDRA,
DINA => DINA,
CLKA => CLKA_buf,
--Port B
ADDRB => ADDRB,
DOUTB => DOUTB,
CLKB => CLKB_buf
);
END xilinx;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library ieee_proposed;
use ieee_proposed.math_utility_pkg.all;
use ieee_proposed.fixed_pkg.all;
use ieee_proposed.float_pkg.all;
use std.textio.all;
entity fix is
generic (
iwidth : integer := 3;
ifix : integer := 1;
owidth : integer := 4;
ofix : integer := 2
);
end entity;
architecture test of fix is
constant ihigh : integer := iwidth - ifix - 1;
constant ilow : integer := -ifix;
constant ohigh : integer := owidth - ofix - 1;
constant olow : integer := -ofix;
begin
process
variable ivec : SFixed(ihigh downto ilow);
variable ovec : SFixed(ohigh downto olow);
variable l : line;
procedure write(
u : SFixed
) is
variable l : line;
begin
write(l, u);
write(l, string'(" ("));
write(l, to_real(u));
write(l, string'(")"));
writeline(output, l);
end procedure;
variable f : real;
function pow2(i : integer) return real is
variable r : real := 1.0;
begin
if i = 0 then
return 1.0;
elsif i > 0 then
return real(2 ** i);
else
for j in 0 downto i+1 loop
r := r / 2.0;
end loop;
return r;
end if;
end function;
begin
for i in 0 to (2 ** iwidth) - 1 loop
--f := real(i) / (pow2(ifix));
f := (real(i) - pow2(iwidth-1)) / (pow2(ifix));
ivec := to_SFixed(f, ihigh, ilow);
ovec := resize(ivec, ohigh, olow);
write(ovec);
end loop;
wait;
end process;
end architecture;
|
-- EMACS settings: -*- tab-width: 2; indent-tabs-mode: t -*-
-- vim: tabstop=2:shiftwidth=2:noexpandtab
-- kate: tab-width 2; replace-tabs off; indent-width 2;
--
-- =============================================================================
-- Authors: Steffen Koehler
-- Patrick Lehmann
--
-- Module: Synchronizes a signal vector across clock-domain boundaries
--
-- Description:
-- ------------------------------------
-- This module synchronizes a vector of bits from clock-domain 'Clock1' to
-- clock-domain 'Clock2'. The clock-domain boundary crossing is done by a
-- change comparator, a T-FF, two synchronizer D-FFs and a reconstructive
-- XOR indicating a value change on the input. This changed signal is used
-- to capture the input for the new output. A busy flag is additionally
-- calculated for the input clock domain.
--
-- CONSTRAINTS:
-- General:
-- This module uses sub modules which need to be constrainted. Please
-- attend to the notes of the instantiated sub modules.
--
-- License:
-- =============================================================================
-- Copyright 2007-2015 Technische Universitaet Dresden - Germany
-- Chair for VLSI-Design, Diagnostics and Architecture
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
-- =============================================================================
library IEEE;
use IEEE.STD_LOGIC_1164.all;
use IEEE.NUMERIC_STD.all;
library PoC;
use PoC.utils.all;
entity sync_Vector IS
generic (
MASTER_BITS : POSITIVE := 8; -- number of bit to be synchronized
SLAVE_BITS : NATURAL := 0;
INIT : STD_LOGIC_VECTOR := x"00000000" --
);
PORT (
Clock1 : in STD_LOGIC; -- <Clock> input clock
Clock2 : in STD_LOGIC; -- <Clock> output clock
Input : in STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0); -- @Clock1: input vector
Output : out STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0); -- @Clock2: output vector
Busy : out STD_LOGIC; -- @Clock1: busy bit
Changed : out STD_LOGIC -- @Clock2: changed bit
);
end;
architecture rtl of sync_Vector is
attribute SHREG_EXTRACT : STRING;
constant INIT_I : STD_LOGIC_VECTOR := descend(INIT)((MASTER_BITS + SLAVE_BITS) - 1 downto 0);
signal D0 : STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0) := INIT_I;
signal T1 : STD_LOGIC := '0';
signal D2 : STD_LOGIC := '0';
signal D3 : STD_LOGIC := '0';
signal D4 : STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0) := INIT_I;
signal Changed_Clk1 : STD_LOGIC;
signal Changed_Clk2 : STD_LOGIC;
signal Busy_i : STD_LOGIC;
-- Prevent XST from translating two FFs into SRL plus FF
attribute SHREG_EXTRACT of D0 : signal IS "NO";
attribute SHREG_EXTRACT of T1 : signal IS "NO";
attribute SHREG_EXTRACT of D2 : signal IS "NO";
attribute SHREG_EXTRACT of D3 : signal IS "NO";
attribute SHREG_EXTRACT of D4 : signal IS "NO";
signal syncClk1_In : STD_LOGIC;
signal syncClk1_Out : STD_LOGIC;
signal syncClk2_In : STD_LOGIC;
signal syncClk2_Out : STD_LOGIC;
begin
-- input D-FF @Clock1 -> changed detection
process(Clock1)
begin
if rising_edge(Clock1) then
if (Busy_i = '0') then
D0 <= Input; -- delay input vector for change detection; gated by busy flag
T1 <= T1 xor Changed_Clk1; -- toggle T1 if input vector has changed
end if;
end if;
end process;
-- D-FF for level change detection (both edges)
process(Clock2)
begin
if rising_edge(Clock2) then
D2 <= syncClk2_Out;
D3 <= Changed_Clk2;
if (Changed_Clk2 = '1') then
D4 <= D0;
end if;
end if;
end process;
-- assign syncClk*_In signals
syncClk2_In <= T1;
syncClk1_In <= D2;
Changed_Clk1 <='0' when (D0(MASTER_BITS - 1 downto 0) = Input(MASTER_BITS - 1 downto 0)) else '1'; -- input change detection
Changed_Clk2 <= syncClk2_Out xor D2; -- level change detection; restore strobe signal from flag
Busy_i <= T1 xor syncClk1_Out; -- calculate busy signal
-- output signals
Output <= D4;
Busy <= Busy_i;
Changed <= D3;
syncClk2 : entity PoC.sync_Bits
port map (
Clock => Clock2, -- <Clock> output clock domain
Input(0) => syncClk2_In, -- @async: input bits
Output(0) => syncClk2_Out -- @Clock: output bits
);
syncClk1 : entity PoC.sync_Bits
port map (
Clock => Clock1, -- <Clock> output clock domain
Input(0) => syncClk1_In, -- @async: input bits
Output(0) => syncClk1_Out -- @Clock: output bits
);
end; |
-- EMACS settings: -*- tab-width: 2; indent-tabs-mode: t -*-
-- vim: tabstop=2:shiftwidth=2:noexpandtab
-- kate: tab-width 2; replace-tabs off; indent-width 2;
--
-- =============================================================================
-- Authors: Steffen Koehler
-- Patrick Lehmann
--
-- Module: Synchronizes a signal vector across clock-domain boundaries
--
-- Description:
-- ------------------------------------
-- This module synchronizes a vector of bits from clock-domain 'Clock1' to
-- clock-domain 'Clock2'. The clock-domain boundary crossing is done by a
-- change comparator, a T-FF, two synchronizer D-FFs and a reconstructive
-- XOR indicating a value change on the input. This changed signal is used
-- to capture the input for the new output. A busy flag is additionally
-- calculated for the input clock domain.
--
-- CONSTRAINTS:
-- General:
-- This module uses sub modules which need to be constrainted. Please
-- attend to the notes of the instantiated sub modules.
--
-- License:
-- =============================================================================
-- Copyright 2007-2015 Technische Universitaet Dresden - Germany
-- Chair for VLSI-Design, Diagnostics and Architecture
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
-- =============================================================================
library IEEE;
use IEEE.STD_LOGIC_1164.all;
use IEEE.NUMERIC_STD.all;
library PoC;
use PoC.utils.all;
entity sync_Vector IS
generic (
MASTER_BITS : POSITIVE := 8; -- number of bit to be synchronized
SLAVE_BITS : NATURAL := 0;
INIT : STD_LOGIC_VECTOR := x"00000000" --
);
PORT (
Clock1 : in STD_LOGIC; -- <Clock> input clock
Clock2 : in STD_LOGIC; -- <Clock> output clock
Input : in STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0); -- @Clock1: input vector
Output : out STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0); -- @Clock2: output vector
Busy : out STD_LOGIC; -- @Clock1: busy bit
Changed : out STD_LOGIC -- @Clock2: changed bit
);
end;
architecture rtl of sync_Vector is
attribute SHREG_EXTRACT : STRING;
constant INIT_I : STD_LOGIC_VECTOR := descend(INIT)((MASTER_BITS + SLAVE_BITS) - 1 downto 0);
signal D0 : STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0) := INIT_I;
signal T1 : STD_LOGIC := '0';
signal D2 : STD_LOGIC := '0';
signal D3 : STD_LOGIC := '0';
signal D4 : STD_LOGIC_VECTOR((MASTER_BITS + SLAVE_BITS) - 1 downto 0) := INIT_I;
signal Changed_Clk1 : STD_LOGIC;
signal Changed_Clk2 : STD_LOGIC;
signal Busy_i : STD_LOGIC;
-- Prevent XST from translating two FFs into SRL plus FF
attribute SHREG_EXTRACT of D0 : signal IS "NO";
attribute SHREG_EXTRACT of T1 : signal IS "NO";
attribute SHREG_EXTRACT of D2 : signal IS "NO";
attribute SHREG_EXTRACT of D3 : signal IS "NO";
attribute SHREG_EXTRACT of D4 : signal IS "NO";
signal syncClk1_In : STD_LOGIC;
signal syncClk1_Out : STD_LOGIC;
signal syncClk2_In : STD_LOGIC;
signal syncClk2_Out : STD_LOGIC;
begin
-- input D-FF @Clock1 -> changed detection
process(Clock1)
begin
if rising_edge(Clock1) then
if (Busy_i = '0') then
D0 <= Input; -- delay input vector for change detection; gated by busy flag
T1 <= T1 xor Changed_Clk1; -- toggle T1 if input vector has changed
end if;
end if;
end process;
-- D-FF for level change detection (both edges)
process(Clock2)
begin
if rising_edge(Clock2) then
D2 <= syncClk2_Out;
D3 <= Changed_Clk2;
if (Changed_Clk2 = '1') then
D4 <= D0;
end if;
end if;
end process;
-- assign syncClk*_In signals
syncClk2_In <= T1;
syncClk1_In <= D2;
Changed_Clk1 <='0' when (D0(MASTER_BITS - 1 downto 0) = Input(MASTER_BITS - 1 downto 0)) else '1'; -- input change detection
Changed_Clk2 <= syncClk2_Out xor D2; -- level change detection; restore strobe signal from flag
Busy_i <= T1 xor syncClk1_Out; -- calculate busy signal
-- output signals
Output <= D4;
Busy <= Busy_i;
Changed <= D3;
syncClk2 : entity PoC.sync_Bits
port map (
Clock => Clock2, -- <Clock> output clock domain
Input(0) => syncClk2_In, -- @async: input bits
Output(0) => syncClk2_Out -- @Clock: output bits
);
syncClk1 : entity PoC.sync_Bits
port map (
Clock => Clock1, -- <Clock> output clock domain
Input(0) => syncClk1_In, -- @async: input bits
Output(0) => syncClk1_Out -- @Clock: output bits
);
end; |
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc932.vhd,v 1.2 2001-10-26 16:30:02 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c10s04b00x00p03n03i00932pkg is
subtype register16 is bit_vector(15 downto 0);
function "+" (l,r : bit_vector) return bit_vector;
function "-" (l,r : bit_vector) return bit_vector;
end c10s04b00x00p03n03i00932pkg;
package body c10s04b00x00p03n03i00932pkg is
function "+" (l,r : bit_vector) return bit_vector is
begin
return (B"1111010100101010");
end;
function "-" (l,r : bit_vector) return bit_vector is
begin
return (B"1111010100101010");
end;
end c10s04b00x00p03n03i00932pkg;
use work.c10s04b00x00p03n03i00932pkg.all;
ENTITY c10s04b00x00p03n03i00932ent IS
END c10s04b00x00p03n03i00932ent;
ARCHITECTURE c10s04b00x00p03n03i00932arch OF c10s04b00x00p03n03i00932ent IS
signal i_sig : register16 := B"1010_1110_1010_0011";
BEGIN
TESTING: PROCESS
BEGIN
i_sig <= i_sig - i_sig + B"1111111100000000" after 10 ns;
wait for 20 ns;
assert NOT( i_sig = (B"1111010100101010") )
report "***PASSED TEST: c10s04b00x00p03n03i00932"
severity NOTE;
assert ( i_sig = (B"1111010100101010") )
report "***FAILED TEST: c10s04b00x00p03n03i00932 - All of the declarations of a package are visible within the declarative region if the suffix of a selected name in a use clause is the word 'all'."
severity ERROR;
wait;
END PROCESS TESTING;
END c10s04b00x00p03n03i00932arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc932.vhd,v 1.2 2001-10-26 16:30:02 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
package c10s04b00x00p03n03i00932pkg is
subtype register16 is bit_vector(15 downto 0);
function "+" (l,r : bit_vector) return bit_vector;
function "-" (l,r : bit_vector) return bit_vector;
end c10s04b00x00p03n03i00932pkg;
package body c10s04b00x00p03n03i00932pkg is
function "+" (l,r : bit_vector) return bit_vector is
begin
return (B"1111010100101010");
end;
function "-" (l,r : bit_vector) return bit_vector is
begin
return (B"1111010100101010");
end;
end c10s04b00x00p03n03i00932pkg;
use work.c10s04b00x00p03n03i00932pkg.all;
ENTITY c10s04b00x00p03n03i00932ent IS
END c10s04b00x00p03n03i00932ent;
ARCHITECTURE c10s04b00x00p03n03i00932arch OF c10s04b00x00p03n03i00932ent IS
signal i_sig : register16 := B"1010_1110_1010_0011";
BEGIN
TESTING: PROCESS
BEGIN
i_sig <= i_sig - i_sig + B"1111111100000000" after 10 ns;
wait for 20 ns;
assert NOT( i_sig = (B"1111010100101010") )
report "***PASSED TEST: c10s04b00x00p03n03i00932"
severity NOTE;
assert ( i_sig = (B"1111010100101010") )
report "***FAILED TEST: c10s04b00x00p03n03i00932 - All of the declarations of a package are visible within the declarative region if the suffix of a selected name in a use clause is the word 'all'."
severity ERROR;
wait;
END PROCESS TESTING;
END c10s04b00x00p03n03i00932arch;
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.