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304
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
numba/numba
|
bf480b9e0da858a65508c2b17759a72ee6a44c51
|
numba/cpython/mathimpl.py
|
python
|
isinf_float_impl
|
(context, builder, sig, args)
|
return impl_ret_untracked(context, builder, sig.return_type, res)
|
[] |
def isinf_float_impl(context, builder, sig, args):
[val] = args
res = is_inf(builder, val)
return impl_ret_untracked(context, builder, sig.return_type, res)
|
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",",
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")"
] |
https://github.com/numba/numba/blob/bf480b9e0da858a65508c2b17759a72ee6a44c51/numba/cpython/mathimpl.py#L226-L229
|
|||
DataDog/integrations-core
|
934674b29d94b70ccc008f76ea172d0cdae05e1e
|
datadog_cluster_agent/datadog_checks/datadog_cluster_agent/config_models/defaults.py
|
python
|
instance_send_distribution_buckets
|
(field, value)
|
return False
|
[] |
def instance_send_distribution_buckets(field, value):
return False
|
[
"def",
"instance_send_distribution_buckets",
"(",
"field",
",",
"value",
")",
":",
"return",
"False"
] |
https://github.com/DataDog/integrations-core/blob/934674b29d94b70ccc008f76ea172d0cdae05e1e/datadog_cluster_agent/datadog_checks/datadog_cluster_agent/config_models/defaults.py#L189-L190
|
|||
researchmm/tasn
|
5dba8ccc096cedc63913730eeea14a9647911129
|
tasn-mxnet/3rdparty/tvm/python/tvm/rpc/proxy.py
|
python
|
ForwardHandler.on_start
|
(self)
|
Event when the initialization is completed
|
Event when the initialization is completed
|
[
"Event",
"when",
"the",
"initialization",
"is",
"completed"
] |
def on_start(self):
"""Event when the initialization is completed"""
self._proxy.handler_ready(self)
|
[
"def",
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"(",
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")",
":",
"self",
".",
"_proxy",
".",
"handler_ready",
"(",
"self",
")"
] |
https://github.com/researchmm/tasn/blob/5dba8ccc096cedc63913730eeea14a9647911129/tasn-mxnet/3rdparty/tvm/python/tvm/rpc/proxy.py#L80-L82
|
||
lightforever/mlcomp
|
c78fdb77ec9c4ec8ff11beea50b90cab20903ad9
|
mlcomp/server/back/create_dags/standard.py
|
python
|
DagStandardBuilder.create_providers
|
(self)
|
[] |
def create_providers(self):
self.log_info('create_providers')
self.provider = TaskProvider(self.session)
self.report_provider = ReportProvider(self.session)
self.report_tasks_provider = ReportTasksProvider(self.session)
self.report_layout_provider = ReportLayoutProvider(self.session)
self.project_provider = ProjectProvider(self.session)
self.storage = Storage(self.session, logger=self.logger,
component=self.component)
self.dag_provider = DagProvider(self.session)
|
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https://github.com/lightforever/mlcomp/blob/c78fdb77ec9c4ec8ff11beea50b90cab20903ad9/mlcomp/server/back/create_dags/standard.py#L69-L80
|
||||
brython-dev/brython
|
9cba5fb7f43a9b52fff13e89b403e02a1dfaa5f3
|
www/src/Lib/email/_header_value_parser.py
|
python
|
get_address_list
|
(value)
|
return address_list, value
|
address_list = (address *("," address)) / obs-addr-list
obs-addr-list = *([CFWS] ",") address *("," [address / CFWS])
We depart from the formal grammar here by continuing to parse until the end
of the input, assuming the input to be entirely composed of an
address-list. This is always true in email parsing, and allows us
to skip invalid addresses to parse additional valid ones.
|
address_list = (address *("," address)) / obs-addr-list
obs-addr-list = *([CFWS] ",") address *("," [address / CFWS])
|
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def get_address_list(value):
""" address_list = (address *("," address)) / obs-addr-list
obs-addr-list = *([CFWS] ",") address *("," [address / CFWS])
We depart from the formal grammar here by continuing to parse until the end
of the input, assuming the input to be entirely composed of an
address-list. This is always true in email parsing, and allows us
to skip invalid addresses to parse additional valid ones.
"""
address_list = AddressList()
while value:
try:
token, value = get_address(value)
address_list.append(token)
except errors.HeaderParseError as err:
leader = None
if value[0] in CFWS_LEADER:
leader, value = get_cfws(value)
if not value or value[0] == ',':
address_list.append(leader)
address_list.defects.append(errors.ObsoleteHeaderDefect(
"address-list entry with no content"))
else:
token, value = get_invalid_mailbox(value, ',')
if leader is not None:
token[:0] = [leader]
address_list.append(Address([token]))
address_list.defects.append(errors.InvalidHeaderDefect(
"invalid address in address-list"))
elif value[0] == ',':
address_list.defects.append(errors.ObsoleteHeaderDefect(
"empty element in address-list"))
else:
token, value = get_invalid_mailbox(value, ',')
if leader is not None:
token[:0] = [leader]
address_list.append(Address([token]))
address_list.defects.append(errors.InvalidHeaderDefect(
"invalid address in address-list"))
if value and value[0] != ',':
# Crap after address; treat it as an invalid mailbox.
# The mailbox info will still be available.
mailbox = address_list[-1][0]
mailbox.token_type = 'invalid-mailbox'
token, value = get_invalid_mailbox(value, ',')
mailbox.extend(token)
address_list.defects.append(errors.InvalidHeaderDefect(
"invalid address in address-list"))
if value: # Must be a , at this point.
address_list.append(ValueTerminal(',', 'list-separator'))
value = value[1:]
return address_list, value
|
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https://github.com/brython-dev/brython/blob/9cba5fb7f43a9b52fff13e89b403e02a1dfaa5f3/www/src/Lib/email/_header_value_parser.py#L1975-L2027
|
|
blawar/nut
|
2cf351400418399a70164987e28670309f6c9cb5
|
Server/Controller/Api.py
|
python
|
getInfo
|
(request, response)
|
[] |
def getInfo(request, response):
try:
response.headers['Content-Type'] = 'application/json'
nsp = Nsps.getByTitleId(request.bits[2])
t = Titles.get(request.bits[2]).__dict__
t['size'] = nsp.getFileSize()
t['mtime'] = nsp.getFileModified()
response.write(json.dumps(t))
except BaseException as e:
response.write(json.dumps({'success': False, 'message': str(e)}))
|
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"}",
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] |
https://github.com/blawar/nut/blob/2cf351400418399a70164987e28670309f6c9cb5/Server/Controller/Api.py#L255-L264
|
||||
openhatch/oh-mainline
|
ce29352a034e1223141dcc2f317030bbc3359a51
|
vendor/packages/twisted/twisted/application/app.py
|
python
|
HotshotRunner.run
|
(self, reactor)
|
Run reactor under the hotshot profiler.
|
Run reactor under the hotshot profiler.
|
[
"Run",
"reactor",
"under",
"the",
"hotshot",
"profiler",
"."
] |
def run(self, reactor):
"""
Run reactor under the hotshot profiler.
"""
try:
import hotshot.stats
except (ImportError, SystemExit), e:
# Certain versions of Debian (and Debian derivatives) raise
# SystemExit when importing hotshot if the "non-free" profiler
# module is not installed. Someone eventually recognized this
# as a bug and changed the Debian packaged Python to raise
# ImportError instead. Handle both exception types here in
# order to support the versions of Debian which have this
# behavior. The bug report which prompted the introduction of
# this highly undesirable behavior should be available online at
# <http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=334067>.
# There seems to be no corresponding bug report which resulted
# in the behavior being removed. -exarkun
self._reportImportError("hotshot", e)
# this writes stats straight out
p = hotshot.Profile(self.profileOutput)
p.runcall(reactor.run)
if self.saveStats:
# stats are automatically written to file, nothing to do
return
else:
s = hotshot.stats.load(self.profileOutput)
s.strip_dirs()
s.sort_stats(-1)
if getattr(s, 'stream', None) is not None:
# Python 2.5 and above supports a stream attribute
s.stream = open(self.profileOutput, 'w')
s.print_stats()
s.stream.close()
else:
# But we have to use a trick for Python < 2.5
tmp, sys.stdout = sys.stdout, open(self.profileOutput, 'w')
try:
s.print_stats()
finally:
sys.stdout, tmp = tmp, sys.stdout
tmp.close()
|
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https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/twisted/twisted/application/app.py#L88-L130
|
||
tobegit3hub/deep_image_model
|
8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e
|
java_predict_client/src/main/proto/tensorflow/python/framework/ops.py
|
python
|
Graph._as_graph_element_locked
|
(self, obj, allow_tensor, allow_operation)
|
See `Graph.as_graph_element()` for details.
|
See `Graph.as_graph_element()` for details.
|
[
"See",
"Graph",
".",
"as_graph_element",
"()",
"for",
"details",
"."
] |
def _as_graph_element_locked(self, obj, allow_tensor, allow_operation):
"""See `Graph.as_graph_element()` for details."""
# The vast majority of this function is figuring
# out what an API user might be doing wrong, so
# that we can give helpful error messages.
#
# Ideally, it would be nice to split it up, but we
# need context to generate nice error messages.
if allow_tensor and allow_operation:
types_str = "Tensor or Operation"
elif allow_tensor:
types_str = "Tensor"
elif allow_operation:
types_str = "Operation"
else:
raise ValueError("allow_tensor and allow_operation can't both be False.")
temp_obj = _as_graph_element(obj)
if temp_obj is not None:
obj = temp_obj
# If obj appears to be a name...
if isinstance(obj, compat.bytes_or_text_types):
name = compat.as_str(obj)
if ":" in name and allow_tensor:
# Looks like a Tensor name and can be a Tensor.
try:
op_name, out_n = name.split(":")
out_n = int(out_n)
except:
raise ValueError("The name %s looks a like a Tensor name, but is "
"not a valid one. Tensor names must be of the "
"form \"<op_name>:<output_index>\"." % repr(name))
if op_name in self._nodes_by_name:
op = self._nodes_by_name[op_name]
else:
raise KeyError("The name %s refers to a Tensor which does not "
"exist. The operation, %s, does not exist in the "
"graph." % (repr(name), repr(op_name)))
try:
return op.outputs[out_n]
except:
raise KeyError("The name %s refers to a Tensor which does not "
"exist. The operation, %s, exists but only has "
"%s outputs."
% (repr(name), repr(op_name), len(op.outputs)))
elif ":" in name and not allow_tensor:
# Looks like a Tensor name but can't be a Tensor.
raise ValueError("Name %s appears to refer to a Tensor, not a %s."
% (repr(name), types_str))
elif ":" not in name and allow_operation:
# Looks like an Operation name and can be an Operation.
if name not in self._nodes_by_name:
raise KeyError("The name %s refers to an Operation not in the "
"graph." % repr(name))
return self._nodes_by_name[name]
elif ":" not in name and not allow_operation:
# Looks like an Operation name but can't be an Operation.
if name in self._nodes_by_name:
# Yep, it's an Operation name
err_msg = ("The name %s refers to an Operation, not a %s."
% (repr(name), types_str))
else:
err_msg = ("The name %s looks like an (invalid) Operation name, "
"not a %s." % (repr(name), types_str))
err_msg += (" Tensor names must be of the form "
"\"<op_name>:<output_index>\".")
raise ValueError(err_msg)
elif isinstance(obj, Tensor) and allow_tensor:
# Actually obj is just the object it's referring to.
if obj.graph is not self:
raise ValueError("Tensor %s is not an element of this graph." % obj)
return obj
elif isinstance(obj, Operation) and allow_operation:
# Actually obj is just the object it's referring to.
if obj.graph is not self:
raise ValueError("Operation %s is not an element of this graph." % obj)
return obj
else:
# We give up!
raise TypeError("Can not convert a %s into a %s."
% (type(obj).__name__, types_str))
|
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",",
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",",
"allow_tensor",
",",
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":",
"# The vast majority of this function is figuring",
"# out what an API user might be doing wrong, so",
"# that we can give helpful error messages.",
"#",
"# Ideally, it would be nice to split it up, but we",
"# need context to generate nice error messages.",
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"=",
"\"Tensor or Operation\"",
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"\"Tensor\"",
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"\"allow_tensor and allow_operation can't both be False.\"",
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"\"The name %s refers to a Tensor which does not \"",
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"\"The name %s refers to a Tensor which does not \"",
"\"exist. The operation, %s, exists but only has \"",
"\"%s outputs.\"",
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"name",
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",",
"repr",
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"op_name",
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",",
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")",
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"\":\"",
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"# Looks like a Tensor name but can't be a Tensor.",
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"ValueError",
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"\"Name %s appears to refer to a Tensor, not a %s.\"",
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"(",
"repr",
"(",
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")",
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"allow_operation",
":",
"# Looks like an Operation name and can be an Operation.",
"if",
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".",
"_nodes_by_name",
":",
"raise",
"KeyError",
"(",
"\"The name %s refers to an Operation not in the \"",
"\"graph.\"",
"%",
"repr",
"(",
"name",
")",
")",
"return",
"self",
".",
"_nodes_by_name",
"[",
"name",
"]",
"elif",
"\":\"",
"not",
"in",
"name",
"and",
"not",
"allow_operation",
":",
"# Looks like an Operation name but can't be an Operation.",
"if",
"name",
"in",
"self",
".",
"_nodes_by_name",
":",
"# Yep, it's an Operation name",
"err_msg",
"=",
"(",
"\"The name %s refers to an Operation, not a %s.\"",
"%",
"(",
"repr",
"(",
"name",
")",
",",
"types_str",
")",
")",
"else",
":",
"err_msg",
"=",
"(",
"\"The name %s looks like an (invalid) Operation name, \"",
"\"not a %s.\"",
"%",
"(",
"repr",
"(",
"name",
")",
",",
"types_str",
")",
")",
"err_msg",
"+=",
"(",
"\" Tensor names must be of the form \"",
"\"\\\"<op_name>:<output_index>\\\".\"",
")",
"raise",
"ValueError",
"(",
"err_msg",
")",
"elif",
"isinstance",
"(",
"obj",
",",
"Tensor",
")",
"and",
"allow_tensor",
":",
"# Actually obj is just the object it's referring to.",
"if",
"obj",
".",
"graph",
"is",
"not",
"self",
":",
"raise",
"ValueError",
"(",
"\"Tensor %s is not an element of this graph.\"",
"%",
"obj",
")",
"return",
"obj",
"elif",
"isinstance",
"(",
"obj",
",",
"Operation",
")",
"and",
"allow_operation",
":",
"# Actually obj is just the object it's referring to.",
"if",
"obj",
".",
"graph",
"is",
"not",
"self",
":",
"raise",
"ValueError",
"(",
"\"Operation %s is not an element of this graph.\"",
"%",
"obj",
")",
"return",
"obj",
"else",
":",
"# We give up!",
"raise",
"TypeError",
"(",
"\"Can not convert a %s into a %s.\"",
"%",
"(",
"type",
"(",
"obj",
")",
".",
"__name__",
",",
"types_str",
")",
")"
] |
https://github.com/tobegit3hub/deep_image_model/blob/8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e/java_predict_client/src/main/proto/tensorflow/python/framework/ops.py#L2318-L2405
|
||
smart-mobile-software/gitstack
|
d9fee8f414f202143eb6e620529e8e5539a2af56
|
python/Lib/distutils/dist.py
|
python
|
Distribution._set_command_options
|
(self, command_obj, option_dict=None)
|
Set the options for 'command_obj' from 'option_dict'. Basically
this means copying elements of a dictionary ('option_dict') to
attributes of an instance ('command').
'command_obj' must be a Command instance. If 'option_dict' is not
supplied, uses the standard option dictionary for this command
(from 'self.command_options').
|
Set the options for 'command_obj' from 'option_dict'. Basically
this means copying elements of a dictionary ('option_dict') to
attributes of an instance ('command').
|
[
"Set",
"the",
"options",
"for",
"command_obj",
"from",
"option_dict",
".",
"Basically",
"this",
"means",
"copying",
"elements",
"of",
"a",
"dictionary",
"(",
"option_dict",
")",
"to",
"attributes",
"of",
"an",
"instance",
"(",
"command",
")",
"."
] |
def _set_command_options(self, command_obj, option_dict=None):
"""Set the options for 'command_obj' from 'option_dict'. Basically
this means copying elements of a dictionary ('option_dict') to
attributes of an instance ('command').
'command_obj' must be a Command instance. If 'option_dict' is not
supplied, uses the standard option dictionary for this command
(from 'self.command_options').
"""
command_name = command_obj.get_command_name()
if option_dict is None:
option_dict = self.get_option_dict(command_name)
if DEBUG:
self.announce(" setting options for '%s' command:" % command_name)
for (option, (source, value)) in option_dict.items():
if DEBUG:
self.announce(" %s = %s (from %s)" % (option, value,
source))
try:
bool_opts = map(translate_longopt, command_obj.boolean_options)
except AttributeError:
bool_opts = []
try:
neg_opt = command_obj.negative_opt
except AttributeError:
neg_opt = {}
try:
is_string = isinstance(value, str)
if option in neg_opt and is_string:
setattr(command_obj, neg_opt[option], not strtobool(value))
elif option in bool_opts and is_string:
setattr(command_obj, option, strtobool(value))
elif hasattr(command_obj, option):
setattr(command_obj, option, value)
else:
raise DistutilsOptionError, \
("error in %s: command '%s' has no such option '%s'"
% (source, command_name, option))
except ValueError, msg:
raise DistutilsOptionError, msg
|
[
"def",
"_set_command_options",
"(",
"self",
",",
"command_obj",
",",
"option_dict",
"=",
"None",
")",
":",
"command_name",
"=",
"command_obj",
".",
"get_command_name",
"(",
")",
"if",
"option_dict",
"is",
"None",
":",
"option_dict",
"=",
"self",
".",
"get_option_dict",
"(",
"command_name",
")",
"if",
"DEBUG",
":",
"self",
".",
"announce",
"(",
"\" setting options for '%s' command:\"",
"%",
"command_name",
")",
"for",
"(",
"option",
",",
"(",
"source",
",",
"value",
")",
")",
"in",
"option_dict",
".",
"items",
"(",
")",
":",
"if",
"DEBUG",
":",
"self",
".",
"announce",
"(",
"\" %s = %s (from %s)\"",
"%",
"(",
"option",
",",
"value",
",",
"source",
")",
")",
"try",
":",
"bool_opts",
"=",
"map",
"(",
"translate_longopt",
",",
"command_obj",
".",
"boolean_options",
")",
"except",
"AttributeError",
":",
"bool_opts",
"=",
"[",
"]",
"try",
":",
"neg_opt",
"=",
"command_obj",
".",
"negative_opt",
"except",
"AttributeError",
":",
"neg_opt",
"=",
"{",
"}",
"try",
":",
"is_string",
"=",
"isinstance",
"(",
"value",
",",
"str",
")",
"if",
"option",
"in",
"neg_opt",
"and",
"is_string",
":",
"setattr",
"(",
"command_obj",
",",
"neg_opt",
"[",
"option",
"]",
",",
"not",
"strtobool",
"(",
"value",
")",
")",
"elif",
"option",
"in",
"bool_opts",
"and",
"is_string",
":",
"setattr",
"(",
"command_obj",
",",
"option",
",",
"strtobool",
"(",
"value",
")",
")",
"elif",
"hasattr",
"(",
"command_obj",
",",
"option",
")",
":",
"setattr",
"(",
"command_obj",
",",
"option",
",",
"value",
")",
"else",
":",
"raise",
"DistutilsOptionError",
",",
"(",
"\"error in %s: command '%s' has no such option '%s'\"",
"%",
"(",
"source",
",",
"command_name",
",",
"option",
")",
")",
"except",
"ValueError",
",",
"msg",
":",
"raise",
"DistutilsOptionError",
",",
"msg"
] |
https://github.com/smart-mobile-software/gitstack/blob/d9fee8f414f202143eb6e620529e8e5539a2af56/python/Lib/distutils/dist.py#L860-L901
|
||
kuri65536/python-for-android
|
26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891
|
python-modules/twisted/twisted/internet/interfaces.py
|
python
|
IResolver.lookupAuthority
|
(name, timeout = 10)
|
Lookup the SOA records associated with C{name}.
|
Lookup the SOA records associated with C{name}.
|
[
"Lookup",
"the",
"SOA",
"records",
"associated",
"with",
"C",
"{",
"name",
"}",
"."
] |
def lookupAuthority(name, timeout = 10):
"""
Lookup the SOA records associated with C{name}.
"""
|
[
"def",
"lookupAuthority",
"(",
"name",
",",
"timeout",
"=",
"10",
")",
":"
] |
https://github.com/kuri65536/python-for-android/blob/26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891/python-modules/twisted/twisted/internet/interfaces.py#L141-L144
|
||
allenai/allennlp
|
a3d71254fcc0f3615910e9c3d48874515edf53e0
|
allennlp/models/model.py
|
python
|
remove_pretrained_embedding_params
|
(params: Params)
|
This function only exists for backwards compatibility.
Please use `remove_weights_related_keys_from_params()` instead.
|
This function only exists for backwards compatibility.
Please use `remove_weights_related_keys_from_params()` instead.
|
[
"This",
"function",
"only",
"exists",
"for",
"backwards",
"compatibility",
".",
"Please",
"use",
"remove_weights_related_keys_from_params",
"()",
"instead",
"."
] |
def remove_pretrained_embedding_params(params: Params):
"""This function only exists for backwards compatibility.
Please use `remove_weights_related_keys_from_params()` instead."""
remove_keys_from_params(params, ["pretrained_file"])
|
[
"def",
"remove_pretrained_embedding_params",
"(",
"params",
":",
"Params",
")",
":",
"remove_keys_from_params",
"(",
"params",
",",
"[",
"\"pretrained_file\"",
"]",
")"
] |
https://github.com/allenai/allennlp/blob/a3d71254fcc0f3615910e9c3d48874515edf53e0/allennlp/models/model.py#L500-L503
|
||
joxeankoret/nightmare
|
11b22bb7c346611de90f479ee781c9228af453ea
|
runtime/diff_match_patch.py
|
python
|
diff_match_patch.diff_toDelta
|
(self, diffs)
|
return "\t".join(text)
|
Crush the diff into an encoded string which describes the operations
required to transform text1 into text2.
E.g. =3\t-2\t+ing -> Keep 3 chars, delete 2 chars, insert 'ing'.
Operations are tab-separated. Inserted text is escaped using %xx notation.
Args:
diffs: Array of diff tuples.
Returns:
Delta text.
|
Crush the diff into an encoded string which describes the operations
required to transform text1 into text2.
E.g. =3\t-2\t+ing -> Keep 3 chars, delete 2 chars, insert 'ing'.
Operations are tab-separated. Inserted text is escaped using %xx notation.
|
[
"Crush",
"the",
"diff",
"into",
"an",
"encoded",
"string",
"which",
"describes",
"the",
"operations",
"required",
"to",
"transform",
"text1",
"into",
"text2",
".",
"E",
".",
"g",
".",
"=",
"3",
"\\",
"t",
"-",
"2",
"\\",
"t",
"+",
"ing",
"-",
">",
"Keep",
"3",
"chars",
"delete",
"2",
"chars",
"insert",
"ing",
".",
"Operations",
"are",
"tab",
"-",
"separated",
".",
"Inserted",
"text",
"is",
"escaped",
"using",
"%xx",
"notation",
"."
] |
def diff_toDelta(self, diffs):
"""Crush the diff into an encoded string which describes the operations
required to transform text1 into text2.
E.g. =3\t-2\t+ing -> Keep 3 chars, delete 2 chars, insert 'ing'.
Operations are tab-separated. Inserted text is escaped using %xx notation.
Args:
diffs: Array of diff tuples.
Returns:
Delta text.
"""
text = []
for (op, data) in diffs:
if op == self.DIFF_INSERT:
# High ascii will raise UnicodeDecodeError. Use Unicode instead.
data = data.encode("utf-8")
text.append("+" + urllib.quote(data, "!~*'();/?:@&=+$,# "))
elif op == self.DIFF_DELETE:
text.append("-%d" % len(data))
elif op == self.DIFF_EQUAL:
text.append("=%d" % len(data))
return "\t".join(text)
|
[
"def",
"diff_toDelta",
"(",
"self",
",",
"diffs",
")",
":",
"text",
"=",
"[",
"]",
"for",
"(",
"op",
",",
"data",
")",
"in",
"diffs",
":",
"if",
"op",
"==",
"self",
".",
"DIFF_INSERT",
":",
"# High ascii will raise UnicodeDecodeError. Use Unicode instead.",
"data",
"=",
"data",
".",
"encode",
"(",
"\"utf-8\"",
")",
"text",
".",
"append",
"(",
"\"+\"",
"+",
"urllib",
".",
"quote",
"(",
"data",
",",
"\"!~*'();/?:@&=+$,# \"",
")",
")",
"elif",
"op",
"==",
"self",
".",
"DIFF_DELETE",
":",
"text",
".",
"append",
"(",
"\"-%d\"",
"%",
"len",
"(",
"data",
")",
")",
"elif",
"op",
"==",
"self",
".",
"DIFF_EQUAL",
":",
"text",
".",
"append",
"(",
"\"=%d\"",
"%",
"len",
"(",
"data",
")",
")",
"return",
"\"\\t\"",
".",
"join",
"(",
"text",
")"
] |
https://github.com/joxeankoret/nightmare/blob/11b22bb7c346611de90f479ee781c9228af453ea/runtime/diff_match_patch.py#L1138-L1160
|
|
bnpy/bnpy
|
d5b311e8f58ccd98477f4a0c8a4d4982e3fca424
|
bnpy/allocmodel/topics/OptimizerRhoOmega.py
|
python
|
kvec
|
(K)
|
Obtain descending vector of [K, K-1, ... 1]
Returns
--------
kvec : 1D array, size K
|
Obtain descending vector of [K, K-1, ... 1]
|
[
"Obtain",
"descending",
"vector",
"of",
"[",
"K",
"K",
"-",
"1",
"...",
"1",
"]"
] |
def kvec(K):
''' Obtain descending vector of [K, K-1, ... 1]
Returns
--------
kvec : 1D array, size K
'''
try:
return kvecCache[K]
except KeyError as e:
kvec = K + 1 - np.arange(1, K + 1)
kvecCache[K] = kvec
return kvec
|
[
"def",
"kvec",
"(",
"K",
")",
":",
"try",
":",
"return",
"kvecCache",
"[",
"K",
"]",
"except",
"KeyError",
"as",
"e",
":",
"kvec",
"=",
"K",
"+",
"1",
"-",
"np",
".",
"arange",
"(",
"1",
",",
"K",
"+",
"1",
")",
"kvecCache",
"[",
"K",
"]",
"=",
"kvec",
"return",
"kvec"
] |
https://github.com/bnpy/bnpy/blob/d5b311e8f58ccd98477f4a0c8a4d4982e3fca424/bnpy/allocmodel/topics/OptimizerRhoOmega.py#L349-L361
|
||
Bogdanp/molten
|
a49fd32a470f8d3c0d7f94a62bd86597d86d7c2f
|
molten/http/headers.py
|
python
|
Headers.get_all
|
(self, header: str)
|
return self._headers[header.lower()]
|
Get all the values for a given header.
|
Get all the values for a given header.
|
[
"Get",
"all",
"the",
"values",
"for",
"a",
"given",
"header",
"."
] |
def get_all(self, header: str) -> List[str]:
"""Get all the values for a given header.
"""
return self._headers[header.lower()]
|
[
"def",
"get_all",
"(",
"self",
",",
"header",
":",
"str",
")",
"->",
"List",
"[",
"str",
"]",
":",
"return",
"self",
".",
"_headers",
"[",
"header",
".",
"lower",
"(",
")",
"]"
] |
https://github.com/Bogdanp/molten/blob/a49fd32a470f8d3c0d7f94a62bd86597d86d7c2f/molten/http/headers.py#L77-L80
|
|
EnableSecurity/wafw00f
|
3257c48d45ffb2f6504629aa3c5d529f1b886c1b
|
wafw00f/plugins/shieldon.py
|
python
|
is_waf
|
(self)
|
return False
|
[] |
def is_waf(self):
captcha = [
self.matchContent('Please solve CAPTCHA'),
self.matchContent('shieldon_captcha'),
self.matchContent('Unusual behavior detected'),
self.matchContent('status-user-info'),
]
if all(i for i in captcha):
return True
ip_banned = [
self.matchContent('Access denied'),
self.matchContent('The IP address you are using has been blocked.'),
self.matchContent('status-user-info'),
]
if all(i for i in ip_banned):
return True
rate_limited = [
self.matchContent('Please line up'),
self.matchContent('This page is limiting the number of people online. Please wait a moment.'),
]
if all(i for i in rate_limited):
return True
headers = [
self.matchHeader((r'[Xx]-[Pp]rotected-[Bb]y', 'shieldon.io')),
]
if any(i for i in headers):
return True
return False
|
[
"def",
"is_waf",
"(",
"self",
")",
":",
"captcha",
"=",
"[",
"self",
".",
"matchContent",
"(",
"'Please solve CAPTCHA'",
")",
",",
"self",
".",
"matchContent",
"(",
"'shieldon_captcha'",
")",
",",
"self",
".",
"matchContent",
"(",
"'Unusual behavior detected'",
")",
",",
"self",
".",
"matchContent",
"(",
"'status-user-info'",
")",
",",
"]",
"if",
"all",
"(",
"i",
"for",
"i",
"in",
"captcha",
")",
":",
"return",
"True",
"ip_banned",
"=",
"[",
"self",
".",
"matchContent",
"(",
"'Access denied'",
")",
",",
"self",
".",
"matchContent",
"(",
"'The IP address you are using has been blocked.'",
")",
",",
"self",
".",
"matchContent",
"(",
"'status-user-info'",
")",
",",
"]",
"if",
"all",
"(",
"i",
"for",
"i",
"in",
"ip_banned",
")",
":",
"return",
"True",
"rate_limited",
"=",
"[",
"self",
".",
"matchContent",
"(",
"'Please line up'",
")",
",",
"self",
".",
"matchContent",
"(",
"'This page is limiting the number of people online. Please wait a moment.'",
")",
",",
"]",
"if",
"all",
"(",
"i",
"for",
"i",
"in",
"rate_limited",
")",
":",
"return",
"True",
"headers",
"=",
"[",
"self",
".",
"matchHeader",
"(",
"(",
"r'[Xx]-[Pp]rotected-[Bb]y'",
",",
"'shieldon.io'",
")",
")",
",",
"]",
"if",
"any",
"(",
"i",
"for",
"i",
"in",
"headers",
")",
":",
"return",
"True",
"return",
"False"
] |
https://github.com/EnableSecurity/wafw00f/blob/3257c48d45ffb2f6504629aa3c5d529f1b886c1b/wafw00f/plugins/shieldon.py#L10-L45
|
|||
learningequality/ka-lite
|
571918ea668013dcf022286ea85eff1c5333fb8b
|
kalite/packages/bundled/django/contrib/messages/storage/base.py
|
python
|
BaseStorage.add
|
(self, level, message, extra_tags='')
|
Queues a message to be stored.
The message is only queued if it contained something and its level is
not less than the recording level (``self.level``).
|
Queues a message to be stored.
|
[
"Queues",
"a",
"message",
"to",
"be",
"stored",
"."
] |
def add(self, level, message, extra_tags=''):
"""
Queues a message to be stored.
The message is only queued if it contained something and its level is
not less than the recording level (``self.level``).
"""
if not message:
return
# Check that the message level is not less than the recording level.
level = int(level)
if level < self.level:
return
# Add the message.
self.added_new = True
message = Message(level, message, extra_tags=extra_tags)
self._queued_messages.append(message)
|
[
"def",
"add",
"(",
"self",
",",
"level",
",",
"message",
",",
"extra_tags",
"=",
"''",
")",
":",
"if",
"not",
"message",
":",
"return",
"# Check that the message level is not less than the recording level.",
"level",
"=",
"int",
"(",
"level",
")",
"if",
"level",
"<",
"self",
".",
"level",
":",
"return",
"# Add the message.",
"self",
".",
"added_new",
"=",
"True",
"message",
"=",
"Message",
"(",
"level",
",",
"message",
",",
"extra_tags",
"=",
"extra_tags",
")",
"self",
".",
"_queued_messages",
".",
"append",
"(",
"message",
")"
] |
https://github.com/learningequality/ka-lite/blob/571918ea668013dcf022286ea85eff1c5333fb8b/kalite/packages/bundled/django/contrib/messages/storage/base.py#L143-L159
|
||
pymedusa/Medusa
|
1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38
|
ext/github/Repository.py
|
python
|
Repository.get_key
|
(self, id)
|
return github.RepositoryKey.RepositoryKey(
self._requester, headers, data, completed=True
)
|
:calls: `GET /repos/:owner/:repo/keys/:id <http://developer.github.com/v3/repos/keys>`_
:param id: integer
:rtype: :class:`github.RepositoryKey.RepositoryKey`
|
:calls: `GET /repos/:owner/:repo/keys/:id <http://developer.github.com/v3/repos/keys>`_
:param id: integer
:rtype: :class:`github.RepositoryKey.RepositoryKey`
|
[
":",
"calls",
":",
"GET",
"/",
"repos",
"/",
":",
"owner",
"/",
":",
"repo",
"/",
"keys",
"/",
":",
"id",
"<http",
":",
"//",
"developer",
".",
"github",
".",
"com",
"/",
"v3",
"/",
"repos",
"/",
"keys",
">",
"_",
":",
"param",
"id",
":",
"integer",
":",
"rtype",
":",
":",
"class",
":",
"github",
".",
"RepositoryKey",
".",
"RepositoryKey"
] |
def get_key(self, id):
"""
:calls: `GET /repos/:owner/:repo/keys/:id <http://developer.github.com/v3/repos/keys>`_
:param id: integer
:rtype: :class:`github.RepositoryKey.RepositoryKey`
"""
assert isinstance(id, six.integer_types), id
headers, data = self._requester.requestJsonAndCheck(
"GET", self.url + "/keys/" + str(id)
)
return github.RepositoryKey.RepositoryKey(
self._requester, headers, data, completed=True
)
|
[
"def",
"get_key",
"(",
"self",
",",
"id",
")",
":",
"assert",
"isinstance",
"(",
"id",
",",
"six",
".",
"integer_types",
")",
",",
"id",
"headers",
",",
"data",
"=",
"self",
".",
"_requester",
".",
"requestJsonAndCheck",
"(",
"\"GET\"",
",",
"self",
".",
"url",
"+",
"\"/keys/\"",
"+",
"str",
"(",
"id",
")",
")",
"return",
"github",
".",
"RepositoryKey",
".",
"RepositoryKey",
"(",
"self",
".",
"_requester",
",",
"headers",
",",
"data",
",",
"completed",
"=",
"True",
")"
] |
https://github.com/pymedusa/Medusa/blob/1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38/ext/github/Repository.py#L2363-L2375
|
|
VirtueSecurity/aws-extender
|
d123b7e1a845847709ba3a481f11996bddc68a1c
|
BappModules/docutils/nodes.py
|
python
|
document.set_name_id_map
|
(self, node, id, msgnode=None, explicit=None)
|
`self.nameids` maps names to IDs, while `self.nametypes` maps names to
booleans representing hyperlink type (True==explicit,
False==implicit). This method updates the mappings.
The following state transition table shows how `self.nameids` ("ids")
and `self.nametypes` ("types") change with new input (a call to this
method), and what actions are performed ("implicit"-type system
messages are INFO/1, and "explicit"-type system messages are ERROR/3):
==== ===== ======== ======== ======= ==== ===== =====
Old State Input Action New State Notes
----------- -------- ----------------- ----------- -----
ids types new type sys.msg. dupname ids types
==== ===== ======== ======== ======= ==== ===== =====
- - explicit - - new True
- - implicit - - new False
None False explicit - - new True
old False explicit implicit old new True
None True explicit explicit new None True
old True explicit explicit new,old None True [#]_
None False implicit implicit new None False
old False implicit implicit new,old None False
None True implicit implicit new None True
old True implicit implicit new old True
==== ===== ======== ======== ======= ==== ===== =====
.. [#] Do not clear the name-to-id map or invalidate the old target if
both old and new targets are external and refer to identical URIs.
The new target is invalidated regardless.
|
`self.nameids` maps names to IDs, while `self.nametypes` maps names to
booleans representing hyperlink type (True==explicit,
False==implicit). This method updates the mappings.
|
[
"self",
".",
"nameids",
"maps",
"names",
"to",
"IDs",
"while",
"self",
".",
"nametypes",
"maps",
"names",
"to",
"booleans",
"representing",
"hyperlink",
"type",
"(",
"True",
"==",
"explicit",
"False",
"==",
"implicit",
")",
".",
"This",
"method",
"updates",
"the",
"mappings",
"."
] |
def set_name_id_map(self, node, id, msgnode=None, explicit=None):
"""
`self.nameids` maps names to IDs, while `self.nametypes` maps names to
booleans representing hyperlink type (True==explicit,
False==implicit). This method updates the mappings.
The following state transition table shows how `self.nameids` ("ids")
and `self.nametypes` ("types") change with new input (a call to this
method), and what actions are performed ("implicit"-type system
messages are INFO/1, and "explicit"-type system messages are ERROR/3):
==== ===== ======== ======== ======= ==== ===== =====
Old State Input Action New State Notes
----------- -------- ----------------- ----------- -----
ids types new type sys.msg. dupname ids types
==== ===== ======== ======== ======= ==== ===== =====
- - explicit - - new True
- - implicit - - new False
None False explicit - - new True
old False explicit implicit old new True
None True explicit explicit new None True
old True explicit explicit new,old None True [#]_
None False implicit implicit new None False
old False implicit implicit new,old None False
None True implicit implicit new None True
old True implicit implicit new old True
==== ===== ======== ======== ======= ==== ===== =====
.. [#] Do not clear the name-to-id map or invalidate the old target if
both old and new targets are external and refer to identical URIs.
The new target is invalidated regardless.
"""
for name in node['names']:
if name in self.nameids:
self.set_duplicate_name_id(node, id, name, msgnode, explicit)
else:
self.nameids[name] = id
self.nametypes[name] = explicit
|
[
"def",
"set_name_id_map",
"(",
"self",
",",
"node",
",",
"id",
",",
"msgnode",
"=",
"None",
",",
"explicit",
"=",
"None",
")",
":",
"for",
"name",
"in",
"node",
"[",
"'names'",
"]",
":",
"if",
"name",
"in",
"self",
".",
"nameids",
":",
"self",
".",
"set_duplicate_name_id",
"(",
"node",
",",
"id",
",",
"name",
",",
"msgnode",
",",
"explicit",
")",
"else",
":",
"self",
".",
"nameids",
"[",
"name",
"]",
"=",
"id",
"self",
".",
"nametypes",
"[",
"name",
"]",
"=",
"explicit"
] |
https://github.com/VirtueSecurity/aws-extender/blob/d123b7e1a845847709ba3a481f11996bddc68a1c/BappModules/docutils/nodes.py#L1296-L1333
|
||
StackStorm/st2
|
85ae05b73af422efd3097c9c05351f7f1cc8369e
|
tools/migrate_triggers_to_include_ref_count.py
|
python
|
TriggerMigrator.migrate
|
(self)
|
Will migrate all Triggers that should have ref_count to have the right ref_count.
|
Will migrate all Triggers that should have ref_count to have the right ref_count.
|
[
"Will",
"migrate",
"all",
"Triggers",
"that",
"should",
"have",
"ref_count",
"to",
"have",
"the",
"right",
"ref_count",
"."
] |
def migrate(self):
"""
Will migrate all Triggers that should have ref_count to have the right ref_count.
"""
trigger_dbs = self._get_trigger_with_parameters()
for trigger_db in trigger_dbs:
trigger_ref = trigger_db.get_reference().ref
rules = self._get_rules_for_trigger(trigger_ref=trigger_ref)
ref_count = len(rules)
print("Updating Trigger %s to ref_count %s" % (trigger_ref, ref_count))
self._update_trigger_ref_count(trigger_db=trigger_db, ref_count=ref_count)
|
[
"def",
"migrate",
"(",
"self",
")",
":",
"trigger_dbs",
"=",
"self",
".",
"_get_trigger_with_parameters",
"(",
")",
"for",
"trigger_db",
"in",
"trigger_dbs",
":",
"trigger_ref",
"=",
"trigger_db",
".",
"get_reference",
"(",
")",
".",
"ref",
"rules",
"=",
"self",
".",
"_get_rules_for_trigger",
"(",
"trigger_ref",
"=",
"trigger_ref",
")",
"ref_count",
"=",
"len",
"(",
"rules",
")",
"print",
"(",
"\"Updating Trigger %s to ref_count %s\"",
"%",
"(",
"trigger_ref",
",",
"ref_count",
")",
")",
"self",
".",
"_update_trigger_ref_count",
"(",
"trigger_db",
"=",
"trigger_db",
",",
"ref_count",
"=",
"ref_count",
")"
] |
https://github.com/StackStorm/st2/blob/85ae05b73af422efd3097c9c05351f7f1cc8369e/tools/migrate_triggers_to_include_ref_count.py#L49-L59
|
||
CouchPotato/CouchPotatoV1
|
135b3331d1b88ef645e29b76f2d4cc4a732c9232
|
library/imdb/utils.py
|
python
|
escape4xml
|
(value)
|
return value
|
Escape some chars that can't be present in a XML value.
|
Escape some chars that can't be present in a XML value.
|
[
"Escape",
"some",
"chars",
"that",
"can",
"t",
"be",
"present",
"in",
"a",
"XML",
"value",
"."
] |
def escape4xml(value):
"""Escape some chars that can't be present in a XML value."""
if isinstance(value, int):
value = str(value)
value = _re_amp.sub('&', value)
value = value.replace('"', '"').replace("'", ''')
value = value.replace('<', '<').replace('>', '>')
if isinstance(value, unicode):
value = value.encode('ascii', 'xmlcharrefreplace')
return value
|
[
"def",
"escape4xml",
"(",
"value",
")",
":",
"if",
"isinstance",
"(",
"value",
",",
"int",
")",
":",
"value",
"=",
"str",
"(",
"value",
")",
"value",
"=",
"_re_amp",
".",
"sub",
"(",
"'&'",
",",
"value",
")",
"value",
"=",
"value",
".",
"replace",
"(",
"'\"'",
",",
"'"'",
")",
".",
"replace",
"(",
"\"'\"",
",",
"'''",
")",
"value",
"=",
"value",
".",
"replace",
"(",
"'<'",
",",
"'<'",
")",
".",
"replace",
"(",
"'>'",
",",
"'>'",
")",
"if",
"isinstance",
"(",
"value",
",",
"unicode",
")",
":",
"value",
"=",
"value",
".",
"encode",
"(",
"'ascii'",
",",
"'xmlcharrefreplace'",
")",
"return",
"value"
] |
https://github.com/CouchPotato/CouchPotatoV1/blob/135b3331d1b88ef645e29b76f2d4cc4a732c9232/library/imdb/utils.py#L805-L814
|
|
holzschu/Carnets
|
44effb10ddfc6aa5c8b0687582a724ba82c6b547
|
Library/lib/python3.7/site-packages/pip/_vendor/webencodings/__init__.py
|
python
|
ascii_lower
|
(string)
|
return string.encode('utf8').lower().decode('utf8')
|
r"""Transform (only) ASCII letters to lower case: A-Z is mapped to a-z.
:param string: An Unicode string.
:returns: A new Unicode string.
This is used for `ASCII case-insensitive
<http://encoding.spec.whatwg.org/#ascii-case-insensitive>`_
matching of encoding labels.
The same matching is also used, among other things,
for `CSS keywords <http://dev.w3.org/csswg/css-values/#keywords>`_.
This is different from the :meth:`~py:str.lower` method of Unicode strings
which also affect non-ASCII characters,
sometimes mapping them into the ASCII range:
>>> keyword = u'Bac\N{KELVIN SIGN}ground'
>>> assert keyword.lower() == u'background'
>>> assert ascii_lower(keyword) != keyword.lower()
>>> assert ascii_lower(keyword) == u'bac\N{KELVIN SIGN}ground'
|
r"""Transform (only) ASCII letters to lower case: A-Z is mapped to a-z.
|
[
"r",
"Transform",
"(",
"only",
")",
"ASCII",
"letters",
"to",
"lower",
"case",
":",
"A",
"-",
"Z",
"is",
"mapped",
"to",
"a",
"-",
"z",
"."
] |
def ascii_lower(string):
r"""Transform (only) ASCII letters to lower case: A-Z is mapped to a-z.
:param string: An Unicode string.
:returns: A new Unicode string.
This is used for `ASCII case-insensitive
<http://encoding.spec.whatwg.org/#ascii-case-insensitive>`_
matching of encoding labels.
The same matching is also used, among other things,
for `CSS keywords <http://dev.w3.org/csswg/css-values/#keywords>`_.
This is different from the :meth:`~py:str.lower` method of Unicode strings
which also affect non-ASCII characters,
sometimes mapping them into the ASCII range:
>>> keyword = u'Bac\N{KELVIN SIGN}ground'
>>> assert keyword.lower() == u'background'
>>> assert ascii_lower(keyword) != keyword.lower()
>>> assert ascii_lower(keyword) == u'bac\N{KELVIN SIGN}ground'
"""
# This turns out to be faster than unicode.translate()
return string.encode('utf8').lower().decode('utf8')
|
[
"def",
"ascii_lower",
"(",
"string",
")",
":",
"# This turns out to be faster than unicode.translate()",
"return",
"string",
".",
"encode",
"(",
"'utf8'",
")",
".",
"lower",
"(",
")",
".",
"decode",
"(",
"'utf8'",
")"
] |
https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/pip/_vendor/webencodings/__init__.py#L35-L58
|
|
holzschu/Carnets
|
44effb10ddfc6aa5c8b0687582a724ba82c6b547
|
Library/lib/python3.7/site-packages/sympy/polys/rootisolation.py
|
python
|
ComplexInterval.center
|
(self)
|
return ((self.ax + self.bx)/2, (self.ay + self.by)/2)
|
Return the center of the complex isolating interval.
|
Return the center of the complex isolating interval.
|
[
"Return",
"the",
"center",
"of",
"the",
"complex",
"isolating",
"interval",
"."
] |
def center(self):
"""Return the center of the complex isolating interval. """
return ((self.ax + self.bx)/2, (self.ay + self.by)/2)
|
[
"def",
"center",
"(",
"self",
")",
":",
"return",
"(",
"(",
"self",
".",
"ax",
"+",
"self",
".",
"bx",
")",
"/",
"2",
",",
"(",
"self",
".",
"ay",
"+",
"self",
".",
"by",
")",
"/",
"2",
")"
] |
https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/polys/rootisolation.py#L1990-L1992
|
|
holzschu/Carnets
|
44effb10ddfc6aa5c8b0687582a724ba82c6b547
|
Library/lib/python3.7/site-packages/sympy/physics/continuum_mechanics/beam.py
|
python
|
Beam.apply_support
|
(self, loc, type="fixed")
|
This method applies support to a particular beam object.
Parameters
==========
loc : Sympifyable
Location of point at which support is applied.
type : String
Determines type of Beam support applied. To apply support structure
with
- zero degree of freedom, type = "fixed"
- one degree of freedom, type = "pin"
- two degrees of freedom, type = "roller"
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> b = Beam(30, E, I)
>>> b.apply_support(10, 'roller')
>>> b.apply_support(30, 'roller')
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(120, 30, -2)
>>> R_10, R_30 = symbols('R_10, R_30')
>>> b.solve_for_reaction_loads(R_10, R_30)
>>> b.load
-8*SingularityFunction(x, 0, -1) + 6*SingularityFunction(x, 10, -1)
+ 120*SingularityFunction(x, 30, -2) + 2*SingularityFunction(x, 30, -1)
>>> b.slope()
(-4*SingularityFunction(x, 0, 2) + 3*SingularityFunction(x, 10, 2)
+ 120*SingularityFunction(x, 30, 1) + SingularityFunction(x, 30, 2) + 4000/3)/(E*I)
|
This method applies support to a particular beam object.
|
[
"This",
"method",
"applies",
"support",
"to",
"a",
"particular",
"beam",
"object",
"."
] |
def apply_support(self, loc, type="fixed"):
"""
This method applies support to a particular beam object.
Parameters
==========
loc : Sympifyable
Location of point at which support is applied.
type : String
Determines type of Beam support applied. To apply support structure
with
- zero degree of freedom, type = "fixed"
- one degree of freedom, type = "pin"
- two degrees of freedom, type = "roller"
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> b = Beam(30, E, I)
>>> b.apply_support(10, 'roller')
>>> b.apply_support(30, 'roller')
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(120, 30, -2)
>>> R_10, R_30 = symbols('R_10, R_30')
>>> b.solve_for_reaction_loads(R_10, R_30)
>>> b.load
-8*SingularityFunction(x, 0, -1) + 6*SingularityFunction(x, 10, -1)
+ 120*SingularityFunction(x, 30, -2) + 2*SingularityFunction(x, 30, -1)
>>> b.slope()
(-4*SingularityFunction(x, 0, 2) + 3*SingularityFunction(x, 10, 2)
+ 120*SingularityFunction(x, 30, 1) + SingularityFunction(x, 30, 2) + 4000/3)/(E*I)
"""
loc = sympify(loc)
self._applied_supports.append((loc, type))
if type == "pin" or type == "roller":
reaction_load = Symbol('R_'+str(loc))
self.apply_load(reaction_load, loc, -1)
self.bc_deflection.append((loc, 0))
else:
reaction_load = Symbol('R_'+str(loc))
reaction_moment = Symbol('M_'+str(loc))
self.apply_load(reaction_load, loc, -1)
self.apply_load(reaction_moment, loc, -2)
self.bc_deflection.append((loc, 0))
self.bc_slope.append((loc, 0))
self._support_as_loads.append((reaction_moment, loc, -2, None))
self._support_as_loads.append((reaction_load, loc, -1, None))
|
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] |
https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/physics/continuum_mechanics/beam.py#L323-L382
|
||
ladybug-tools/honeybee-legacy
|
bd62af4862fe022801fb87dbc8794fdf1dff73a9
|
src/Honeybee_Outdoor Comfort Analysis Recipe.py
|
python
|
checkTheInputs
|
()
|
[] |
def checkTheInputs():
w = gh.GH_RuntimeMessageLevel.Warning
#Unpack the viewFactorInfo.
checkData25 = True
try:
viewFacInfoFromHive = hb_hive.visualizeFromHoneybeeHive(_viewFactorInfo)[0]
testPtViewFactor, zoneSrfNames, testPtSkyView, testPtBlockedVec, testPtZoneWeights, \
testPtZoneNames, ptHeightWeights, zoneInletInfo, zoneHasWindows, outdoorIsThere, \
outdoorNonSrfViewFac, outdoorPtHeightWeights, testPtBlockName, zoneWindowTransmiss, \
zoneWindowNames, zoneFloorReflectivity, constantTransmis, finalAddShdTransmiss = viewFacInfoFromHive.recallAllProps()
except:
testPtViewFactor, zoneSrfNames, testPtSkyView, testPtBlockedVec, testPtZoneWeights, testPtZoneNames, ptHeightWeights, zoneInletInfo, zoneHasWindows, outdoorIsThere, outdoorNonSrfViewFac, outdoorPtHeightWeights, testPtBlockName, zoneWindowTransmiss, zoneWindowNames, zoneFloorReflectivity, constantTransmis, finalAddShdTransmiss = [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], True, []
checkData25 = False
warning = "_viewFactorInfo is not valid."
print warning
w = gh.GH_RuntimeMessageLevel.Warning
ghenv.Component.AddRuntimeMessage(w, warning)
# Get the full number of test points.
testPtNum = 0
for ptList in testPtViewFactor:
for pt in ptList: testPtNum += 1
#Convert the data tree of _viewFactorMesh to py data.
viewFactorMesh = []
checkData13 = True
pathCheck = 0
finalCheck = len(testPtViewFactor)
if _viewFactorMesh.BranchCount != 0:
if _viewFactorMesh.Branch(0)[0] != None:
treePaths = _viewFactorMesh.Paths
for path in treePaths:
i = path.Indices[0]
if i == pathCheck:
branchList = _viewFactorMesh.Branch(path)
dataVal = []
for item in branchList:
dataVal.append(item)
viewFactorMesh.append(dataVal)
pathCheck += 1
else:
while pathCheck < i:
viewFactorMesh.append([])
pathCheck += 1
if i == pathCheck:
branchList = _viewFactorMesh.Branch(path)
dataVal = []
for item in branchList:
dataVal.append(item)
viewFactorMesh.append(dataVal)
pathCheck += 1
if len(viewFactorMesh) < finalCheck:
while len(viewFactorMesh) < finalCheck:
viewFactorMesh.append([])
else:
checkData13 = False
print "Connect a data tree of view factor meshes from the 'Honeybee_Indoor View Factor Calculator' component."
else:
checkData13 = False
print "Connect a data tree of view factor meshes from the 'Honeybee_Indoor View Factor Calculator' component."
#Create a function to check and create a Python list from a datatree
def checkCreateDataTree(dataTree, dataName, dataType):
dataPyList = []
for i in range(dataTree.BranchCount):
branchList = dataTree.Branch(i)
dataVal = []
for item in branchList:
try: dataVal.append(float(item))
except: dataVal.append(item)
dataPyList.append(dataVal)
#Test to see if the data has a header on it, which is necessary to know if it is the right data type. If there's no header, the data should not be vizualized with this component.
checkHeader = []
dataHeaders = []
dataNumbers = []
for list in dataPyList:
if str(list[0]) == "key:location/dataType/units/frequency/startsAt/endsAt":
checkHeader.append(1)
dataHeaders.append(list[:7])
dataNumbers.append(list[7:])
else:
dataNumbers.append(list)
if sum(checkHeader) == len(dataPyList):
dataCheck2 = True
else:
dataCheck2 = False
warning = "Not all of the connected " + dataName + " has a Ladybug/Honeybee header on it. This header is necessary to generate an indoor temperture map with this component."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
#Check to be sure that the lengths of data in in the dataTree branches are all the same.
dataLength = len(dataNumbers[0])
dataLenCheck = []
for list in dataNumbers:
if len(list) == dataLength:
dataLenCheck.append(1)
else: pass
if sum(dataLenCheck) == len(dataNumbers) and dataLength <8761:
dataCheck4 = True
else:
dataCheck4 = False
warning = "Not all of the connected " + dataName + " branches are of the same length or there are more than 8760 values in the list."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
if dataCheck2 == True:
#Check to be sure that all of the data headers say that they are of the same type.
header = dataHeaders[0]
headerUnits = header[3]
headerStart = header[5]
headerEnd = header[6]
simStep = str(header[4])
headUnitCheck = []
headPeriodCheck = []
for head in dataHeaders:
if dataType in head[2]:
headUnitCheck.append(1)
if head[3] == headerUnits and str(head[4]) == simStep and head[5] == headerStart and head[6] == headerEnd:
headPeriodCheck.append(1)
else: pass
if sum(headPeriodCheck) == len(dataHeaders):
dataCheck5 = True
else:
dataCheck5 = False
warning = "Not all of the connected " + dataName + " branches are of the same timestep or same analysis period."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
if sum(headUnitCheck) == len(dataHeaders):
dataCheck6 = True
else:
dataCheck6 = False
warning = "Not all of the connected " + dataName + " data is for the correct data type."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
#See if the data is hourly.
if simStep == 'hourly' or simStep == 'Hourly': pass
else:
dataCheck6 = False
warning = "Simulation data must be hourly."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
else:
dataCheck5 = False
dataCheck6 == False
if dataLength == 8760: annualData = True
else: annualData = False
simStep = 'unknown timestep'
headerUnits = 'unknown units'
dataHeaders = []
return dataCheck5, dataCheck6, headerUnits, dataHeaders, dataNumbers, [header[5], header[6]]
#Run all of the EnergyPlus data through the check function.
if outdoorIsThere == False and srfIndoorTemp_.BranchCount > 0 and zoneAirTemp_.BranchCount > 0 and zoneAirFlowVol_.BranchCount > 0 and zoneAirHeatGain_.BranchCount > 0:
#Indoor only calculation and everything is good.
checkData1, checkData2, airTempUnits, airTempDataHeaders, airTempDataNumbers, analysisPeriod = checkCreateDataTree(zoneAirTemp_, "zoneAirTemp_", "Air Temperature")
checkData3, checkData4, srfTempUnits, srfTempHeaders, srfTempNumbers, analysisPeriod = checkCreateDataTree(srfIndoorTemp_, "srfIndoorTemp_", "Inner Surface Temperature")
checkData21, checkData22, flowVolUnits, flowVolDataHeaders, flowVolDataNumbers, analysisPeriod = checkCreateDataTree(zoneAirFlowVol_, "zoneAirFlowVol_", "Air Flow Volume")
checkData23, checkData24, heatGainUnits, heatGainDataHeaders, heatGainDataNumbers, analysisPeriod = checkCreateDataTree(zoneAirHeatGain_, "zoneAirHeatGain_", "Air Heat Gain Rate")
checkData17, checkData18, relHumidUnits, relHumidDataHeaders, relHumidDataNumbers, analysisPeriod = checkCreateDataTree(zoneRelHumid_, "zoneRelHumid_", "Relative Humidity")
outdoorClac = False
checkData29, checkData30, outSrfTempUnits, outSrfTempHeaders, outSrfTempNumbers = True, True, 'C', [], []
elif srfIndoorTemp_.BranchCount > 0 and zoneAirTemp_.BranchCount > 0 and zoneAirFlowVol_.BranchCount > 0 and zoneAirHeatGain_.BranchCount > 0:
#All inputs are provided and it doesn't matter whether the indoor/outdoor is there.
checkData1, checkData2, airTempUnits, airTempDataHeaders, airTempDataNumbers, analysisPeriod = checkCreateDataTree(zoneAirTemp_, "zoneAirTemp_", "Air Temperature")
checkData3, checkData4, srfTempUnits, srfTempHeaders, srfTempNumbers, analysisPeriod = checkCreateDataTree(srfIndoorTemp_, "srfIndoorTemp_", "Inner Surface Temperature")
checkData21, checkData22, flowVolUnits, flowVolDataHeaders, flowVolDataNumbers, analysisPeriod = checkCreateDataTree(zoneAirFlowVol_, "zoneAirFlowVol_", "Air Flow Volume")
checkData23, checkData24, heatGainUnits, heatGainDataHeaders, heatGainDataNumbers, analysisPeriod = checkCreateDataTree(zoneAirHeatGain_, "zoneAirHeatGain_", "Air Heat Gain Rate")
checkData17, checkData18, relHumidUnits, relHumidDataHeaders, relHumidDataNumbers, analysisPeriod = checkCreateDataTree(zoneRelHumid_, "zoneRelHumid_", "Relative Humidity")
checkData29, checkData30, outSrfTempUnits, outSrfTempHeaders, outSrfTempNumbers, analysisPeriod = checkCreateDataTree(_srfOutdoorTemp, "__srfOutdoorTemp", "Outer Surface Temperature")
outdoorClac = True
elif outdoorIsThere == True:
#Do a check to see if all of the zone lists are empty (except for the last one, which contains outdoor info.
allListsEmpty = True
for zoneList in testPtViewFactor[:-1]:
if zoneList == []: pass
else:allListsEmpty = False
if allListsEmpty == True:
#The user has input only outdoor srf temperature and only an outdoor mesh. We can run the calculation just for the outdoors.
checkData29, checkData30, outSrfTempUnits, outSrfTempHeaders, outSrfTempNumbers, analysisPeriod = checkCreateDataTree(_srfOutdoorTemp, "__srfOutdoorTemp", "Outer Surface Temperature")
outdoorClac = True
checkData1, checkData2, checkData3, checkData4, checkData21, checkData22, checkData23, checkData24, checkData17, checkData18 = True, True, True, True, True, True, True, True, True, True
emptyLists = testPtViewFactor[:-1] + [[]]
airTempDataHeaders, airTempDataNumbers, srfTempHeaders, srfTempNumbers, flowVolDataHeaders, heatGainDataHeaders, relHumidDataHeaders, relHumidDataNumbers = emptyLists, emptyLists, emptyLists, emptyLists, emptyLists, emptyLists, emptyLists, emptyLists
numberLists = []
for zoneCount, zoneList in enumerate(emptyLists):
numberLists.append(range(len(outSrfTempNumbers[0])))
flowVolDataNumbers, heatGainDataNumbers = numberLists, numberLists
flowVolUnits = "m3/s"
heatGainUnits = "W"
airTempUnits = srfTempUnits = "C"
relHumidUnits = "%"
else:
checkData1, checkData2, checkData3, checkData4, checkData21, checkData22, checkData23, checkData24, checkData17, checkData18 = False, False, False, False, False, False, False, False, False, False
warning = 'If you have connected a viewFactorMesh that includes regions on the indoors, you must connect up energy simulation data for zoneAirTemp, srfIndoorTemp, zoneAirFlowVol, zoneAirHeatGain, and zoneRelHumid.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
else:
checkData1, checkData2, checkData3, checkData4, checkData21, checkData22, checkData23, checkData24, checkData17, checkData18 = False, False, False, False, False, False, False, False, False, False
warning = 'If you have connected a viewFactorMesh that includes regions on the indoors, you must connect up energy simulation data for zoneAirTemp, srfIndoorTemp, zoneAirFlowVol, zoneAirHeatGain, and zoneRelHumid.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
if checkData1 == True and checkData2 == True and checkData3 == True and checkData4 == True and checkData21 == True and checkData22 == True and checkData23 == True and checkData24 == True and checkData17 == True and checkData18 == True:
#Check the windowShadeTransmiss_.
checkData14 = True
checkData32 = True
winStatusNumbers = []
winStatusHeaders = []
allWindowShadesSame = True
try:
if windowShadeTransmiss_.BranchCount == 1 and len(windowShadeTransmiss_.Branch(0)) != 8767:
windowShadeTransmiss = []
for shadeValue in windowShadeTransmiss_.Branch(0):
windowShadeTransmiss.append(shadeValue)
if len(windowShadeTransmiss) == 8760:
allGood = True
for transVal in windowShadeTransmiss:
transFloat = float(transVal)
if transFloat <= 1.0 and transFloat >= 0.0: winStatusNumbers.append(transFloat)
else: allGood = False
if allGood == False:
checkData14 = False
warning = 'windowShadeTransmiss_ must be a value between 0 and 1.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
elif len(windowShadeTransmiss) == 1:
if float(windowShadeTransmiss[0]) <= 1.0 and float(windowShadeTransmiss[0]) >= 0.0:
for count in range(8760):
winStatusNumbers.append(float(windowShadeTransmiss[0]))
else:
checkData14 = False
warning = 'windowShadeTransmiss_ must be a value between 0 and 1.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
elif windowShadeTransmiss_.BranchCount > 1 or len(windowShadeTransmiss_.Branch(0)) == 8767:
allWindowShadesSame = False
checkData14, checkData32, winStatusUnits, winStatusHeaders, winStatusNumbers, analysisPeriod = checkCreateDataTree(windowShadeTransmiss_, "windowShadeTransmiss_", "Surface Window System Solar Transmittance")
#Convert all of the numbers in shade status data tree to window transmissivities.
for winBCount, windowBranchList in enumerate(winStatusNumbers):
for shadHrCt, shadVal in enumerate(windowBranchList):
winStatusNumbers[winBCount][shadHrCt] = float(shadVal)
elif constantTransmis == True:
for count in range(8760):
winStatusNumbers.append(1)
print 'No value found for windowShadeTransmiss_. The window shade status will be set to 1 assuming no additional shading beyond the window glass transmissivity.'
except:
for count in range(8760):
winStatusNumbers.append(1)
print 'No value found for windowShadeTransmiss_. The window shade status will be set to 1 assuming no additional shading beyond the window glass transmissivity.'
#Check to see if there are hourly transmissivities for the additional shading.
if constantTransmis == False:
allWindowShadesSame = False
for transmisslistCount, transmissList in enumerate(finalAddShdTransmiss):
winStatusNumbers.append(transmissList)
srfName = 'AddShd' + str(transmisslistCount)
shdHeader = ['key:location/dataType/units/frequency/startsAt/endsAt', 'Location', 'Surface Window System Solar Transmittance for ' + srfName + ': Window', 'Fraction', 'Hourly', analysisPeriod[0], analysisPeriod[1]]
winStatusHeaders.append(shdHeader)
#Check the windSpeed_.
checkData33 = True
winSpeedNumbers = []
pathCheck = 0
allWindSpeedsSame = 1
if windSpeed_.BranchCount == 1:
additionalWindSpeed = []
for windValue in windSpeed_.Branch(0):
additionalWindSpeed.append(windValue)
if len(additionalWindSpeed) == 1:
try:
for count in range(8760):
winSpeedNumbers.append(float(additionalWindSpeed[0]))
except:
try:
if additionalWindSpeed[0].upper().endswith('.CSV'):
allWindSpeedsSame = -1
result = open(additionalWindSpeed[0], 'r')
for lineCount, line in enumerate(result):
winSpeedNumbers.append([])
for column in line.split(','):
winSpeedNumbers[lineCount].append(float(column))
result.close()
else:
checkData33 = False
warning = 'windSpeed_ values not recognized.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
except:
checkData33 = False
warning = 'windSpeed_ values not recognized.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
elif len(additionalWindSpeed) == 8760:
allGood = True
for winSp in additionalWindSpeed:
windFloat = float(winSp)
if windFloat >= 0.0: winSpeedNumbers.append(windFloat)
else: allGood = False
if allGood == False:
checkData33 = False
warning = 'windSpeed_ must be a value greater than 0.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
else:
checkData33 = False
warning = 'windSpeed_ must be either a list of 8760 values that correspond to hourly changing wind speeds over the year or a single constant value for the whole year.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
elif windSpeed_.BranchCount > 1:
if windSpeed_.BranchCount == testPtNum:
#Wind speed values for each point in the analysis.
allWindSpeedsSame = -1
winSpeedNumInit = []
for i in range(windSpeed_.BranchCount):
branchList = windSpeed_.Branch(i)
dataVal = []
for item in branchList:
dataVal.append(float(item))
winSpeedNumInit.append(dataVal)
winSpeedNumbers = zip(*winSpeedNumInit)
elif windSpeed_.BranchCount == _viewFactorMesh.BranchCount:
#Wind speed for each zone in the analysis.
allWindSpeedsSame = 0
treePaths = windSpeed_.Paths
for path in treePaths:
i = path.Indices[0]
if i == pathCheck:
branchList = windSpeed_.Branch(path)
dataVal = []
for item in branchList:
dataVal.append(float(item))
winSpeedNumbers.append(dataVal)
pathCheck += 1
else:
while pathCheck < i:
winSpeedNumbers.append([])
pathCheck += 1
if i == pathCheck:
branchList = windSpeed_.Branch(path)
dataVal = []
for item in branchList:
dataVal.append(float(item))
winSpeedNumbers.append(dataVal)
pathCheck += 1
if len(winSpeedNumbers) < finalCheck:
while len(winSpeedNumbers) < finalCheck:
winSpeedNumbers.append([])
else:
checkData33 = False
warning = 'windSpeed_ data tree branches do not match those of the viewFactorMesh or the number of testPts.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
else:
print 'No value found for windSpeed_. The components will use an indoor wind speed from the air flow volume or outdoor EPW wind speed.'
#Check to be sure that the units of flowVol and heat gain are correct.
checkData9 = True
if flowVolUnits == "m3/s": pass
else:
checkData9 = False
warning = "_zoneFlowVol must be in m3/s."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
checkData10 = True
if heatGainUnits == "W": pass
else:
checkData10 = False
warning = "_zoneHeatGain must be in W."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
checkData11 = True
if airTempUnits == srfTempUnits == "C": pass
else:
checkData11 = False
warning = "zoneAirTemp_ and srfIndoorTemp_ must be in degrees C."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
checkData19 = True
if relHumidUnits == "%": pass
else:
checkData11 = False
warning = "zoneRelHumid_ must be in %."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
checkData28 = True
if outSrfTempUnits == "C": pass
else:
checkData28 = False
warning = "_srfOutdoorTemp must be in degrees C."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
#Try to parse the weather file in order to get direct rad, diffuse rad, and location data.
checkData5 = True
if not os.path.isfile(_epwFile):
checkData5 = False
warningM = "Failed to find the file: " + str(_epwFile)
print warningM
ghenv.Component.AddRuntimeMessage(w, warningM)
else:
locationData = lb_preparation.epwLocation(_epwFile)
location = locationData[-1]
weatherData = lb_preparation.epwDataReader(_epwFile, locationData[0])
directNormalRadiation = weatherData[5]
diffuseHorizontalRadiation = weatherData[6]
globalHorizontalRadiation = weatherData[7]
horizInfraredRadiation = weatherData[12]
outDryBulbTemp = weatherData[0]
outRelHumid = weatherData[2]
outWindSpeed = weatherData[3]
#Separate out the _dirNormRad, the diffuse Horizontal rad, and the location data.
directSolarRad = []
diffSolarRad = []
latitude = None
longitude = None
timeZone = None
if checkData5 == True:
directSolarRad = directNormalRadiation[7:]
diffSolarRad = diffuseHorizontalRadiation[7:]
globHorizRad = globalHorizontalRadiation[7:]
horizInfraredRadiation = horizInfraredRadiation[7:]
locList = location.split('\n')
for line in locList:
if "Latitude" in line: latitude = float(line.split(',')[0])
elif "Longitude" in line: longitude = float(line.split(',')[0])
elif "Time Zone" in line: timeZone = float(line.split(',')[0])
#Check to be sure that the number of mesh faces and test points match.
checkData8 = True
if checkData25 == True:
for zoneCount, zone in enumerate(viewFactorMesh):
if len(zone) != 1:
totalFaces = 0
for meshCount, mesh in enumerate(zone):
totalFaces = totalFaces +mesh.Faces.Count
if totalFaces == len(testPtViewFactor[zoneCount]): pass
else:
totalVertices = 0
for meshCount, mesh in enumerate(zone):
totalVertices = totalVertices +mesh.Vertices.Count
if totalVertices == len(testPtViewFactor[zoneCount]): pass
else:
checkData8 = False
warning = "For one of the meshes in the _viewFactorMesh, the number of faces in the mesh and test points in the _testPtViewFactor do not match.\n" + \
"This can sometimes happen when you have geometry created with one Rhino model tolerance and you generate a mesh off of it with a different tolerance.\n"+ \
"Try changing your Rhino model tolerance and seeing if it works."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
else:
if zone[0].Faces.Count == len(testPtViewFactor[zoneCount]): pass
else:
if zone[0].Vertices.Count == len(testPtViewFactor[zoneCount]): pass
else:
checkData8 = False
warning = "For one of the meshes in the _viewFactorMesh, the number of faces in the mesh and test points in the _testPtViewFactor do not match.\n" + \
"This can sometimes happen when you have geometry created with one Rhino model tolerance and you generate a mesh off of it with a different tolerance.\n"+ \
"Try changing your Rhino model tolerance and seeing if it works."
print warning
ghenv.Component.AddRuntimeMessage(w, warning)
#If there are no outdoor surface temperatures and there are outdoor view factors, remove it from the mesh.
if outdoorClac == False and outdoorIsThere == True:
zoneSrfNames = zoneSrfNames[:-1]
testPtViewFactor = testPtViewFactor[:-1]
viewFactorMesh = viewFactorMesh[:-1]
testPtSkyView = testPtSkyView[:-1]
testPtBlockedVec = testPtBlockedVec[:-1]
#Figure out the number of times to divide the sky based on the length of the blockedVec list.
numSkyPatchDivs = 0
checkData12 = True
if checkData25 == True:
for blockList in testPtBlockedVec:
if blockList != []:
if len(blockList[0]) == 145: numSkyPatchDivs = 0
elif len(blockList[0]) == 577: numSkyPatchDivs = 1
elif len(blockList[0]) == 1297: numSkyPatchDivs = 2
elif len(blockList[0]) == 2305: numSkyPatchDivs = 3
else:
checkData12 = False
warning = "You have an absurdly high number of view vectors from the 'Indoor View Factor' component such that it is not supported by the current component."
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
#Check the clothing absorptivity.
checkData7 = True
cloA = 0.7
if cloAbsorptivity_ != None:
if cloAbsorptivity_ <= 1.0 and cloAbsorptivity_ >= 0.0: cloA = cloAbsorptivity_
else:
checkData7 = False
warning = 'cloAbsorptivity_ must be a value between 0 and 1.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
else:
print 'No value found for cloAbsorptivity_. The absorptivity will be set to 0.7 for average brown skin and typical clothing.'
#Check the outdoor terrain.
checkData31, terrainType, d, a = lb_wind.readTerrainType(outdoorTerrain_)
if checkData31 == False:
warning = "Invalid input for terrainType_."
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
else:
print "Terrain set to " + terrainType + "."
#Check the inletHeightOverride_.
inletHeightOverride = []
checkData15 = True
if checkData25 == True and len(inletHeightOverride_) > 0:
if len(inletHeightOverride_) == len(viewFactorMesh): inletHeightOverride = inletHeightOverride_
else:
checkData15 = False
warning = 'The length of data in the inletHeightOverride_ does not match the number of branches in the data tree of the _viewFactorMesh.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
#Check the wellMixedAirOverride_.
checkData16 = True
mixedAirOverride = []
if wellMixedAirOverride_ != []:
if len(wellMixedAirOverride_) == 8760:
for val in wellMixedAirOverride_:
mixedAirOverride.append(int(val))
elif len(wellMixedAirOverride_) == 1:
for count in range(8760):
mixedAirOverride.append(int(wellMixedAirOverride_[0]))
else:
checkData16 = False
warning = 'wellMixedAirOverride_ must be either a list of 8760 values that correspond to hourly air mixing over the year or a single constant value for the whole year.'
print warning
ghenv.Component.AddRuntimeMessage(gh.GH_RuntimeMessageLevel.Warning, warning)
else:
for count in range(8760):
mixedAirOverride.append(0)
print 'No value found for wellMixedAirOverride_. The stratification calculation will be run for every hour of the year.'
#Check the north direction.
northAngle, northVector = lb_preparation.angle2north(north_)
#Do a final check of everything.
if checkData1 == True and checkData2 == True and checkData3 == True and checkData4 == True and checkData5 == True and checkData7 == True and checkData8 == True and checkData9 == True and checkData10 == True and checkData11 == True and checkData12 == True and checkData13 == True and checkData14 == True and checkData15 == True and checkData16 == True and checkData17 == True and checkData18 == True and checkData19 == True and checkData21 == True and checkData22 == True and checkData23 == True and checkData24 == True and checkData25 == True and checkData28 == True and checkData29 == True and checkData30 == True and checkData31 == True and checkData32 == True and checkData33 == True:
checkData = True
else: return -1
return "UTCI", srfTempNumbers, srfTempHeaders, airTempDataNumbers, airTempDataHeaders, flowVolDataHeaders, flowVolDataNumbers, heatGainDataHeaders, heatGainDataNumbers, relHumidDataHeaders, relHumidDataNumbers, zoneSrfNames, testPtViewFactor, viewFactorMesh, latitude, longitude, timeZone, diffSolarRad, directSolarRad, globHorizRad, testPtSkyView, testPtBlockedVec, numSkyPatchDivs, winStatusNumbers, cloA, zoneFloorReflectivity, testPtZoneNames, testPtZoneWeights, ptHeightWeights, zoneInletInfo, inletHeightOverride, mixedAirOverride, zoneHasWindows, outdoorClac, outSrfTempHeaders, outSrfTempNumbers, outdoorNonSrfViewFac, outDryBulbTemp, outRelHumid, outWindSpeed, d, a, outdoorPtHeightWeights, allWindowShadesSame, winStatusHeaders, testPtBlockName, zoneWindowTransmiss, zoneWindowNames, allWindSpeedsSame, winSpeedNumbers, analysisPeriod, northAngle, horizInfraredRadiation
else:
return -1
|
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"[",
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"checkData2",
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"airTempDataHeaders",
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"outSrfTempHeaders",
",",
"outSrfTempNumbers",
",",
"analysisPeriod",
"=",
"checkCreateDataTree",
"(",
"_srfOutdoorTemp",
",",
"\"__srfOutdoorTemp\"",
",",
"\"Outer Surface Temperature\"",
")",
"outdoorClac",
"=",
"True",
"elif",
"outdoorIsThere",
"==",
"True",
":",
"#Do a check to see if all of the zone lists are empty (except for the last one, which contains outdoor info.",
"allListsEmpty",
"=",
"True",
"for",
"zoneList",
"in",
"testPtViewFactor",
"[",
":",
"-",
"1",
"]",
":",
"if",
"zoneList",
"==",
"[",
"]",
":",
"pass",
"else",
":",
"allListsEmpty",
"=",
"False",
"if",
"allListsEmpty",
"==",
"True",
":",
"#The user has input only outdoor srf temperature and only an outdoor mesh. We can run the calculation just for the outdoors.",
"checkData29",
",",
"checkData30",
",",
"outSrfTempUnits",
",",
"outSrfTempHeaders",
",",
"outSrfTempNumbers",
",",
"analysisPeriod",
"=",
"checkCreateDataTree",
"(",
"_srfOutdoorTemp",
",",
"\"__srfOutdoorTemp\"",
",",
"\"Outer Surface Temperature\"",
")",
"outdoorClac",
"=",
"True",
"checkData1",
",",
"checkData2",
",",
"checkData3",
",",
"checkData4",
",",
"checkData21",
",",
"checkData22",
",",
"checkData23",
",",
"checkData24",
",",
"checkData17",
",",
"checkData18",
"=",
"True",
",",
"True",
",",
"True",
",",
"True",
",",
"True",
",",
"True",
",",
"True",
",",
"True",
",",
"True",
",",
"True",
"emptyLists",
"=",
"testPtViewFactor",
"[",
":",
"-",
"1",
"]",
"+",
"[",
"[",
"]",
"]",
"airTempDataHeaders",
",",
"airTempDataNumbers",
",",
"srfTempHeaders",
",",
"srfTempNumbers",
",",
"flowVolDataHeaders",
",",
"heatGainDataHeaders",
",",
"relHumidDataHeaders",
",",
"relHumidDataNumbers",
"=",
"emptyLists",
",",
"emptyLists",
",",
"emptyLists",
",",
"emptyLists",
",",
"emptyLists",
",",
"emptyLists",
",",
"emptyLists",
",",
"emptyLists",
"numberLists",
"=",
"[",
"]",
"for",
"zoneCount",
",",
"zoneList",
"in",
"enumerate",
"(",
"emptyLists",
")",
":",
"numberLists",
".",
"append",
"(",
"range",
"(",
"len",
"(",
"outSrfTempNumbers",
"[",
"0",
"]",
")",
")",
")",
"flowVolDataNumbers",
",",
"heatGainDataNumbers",
"=",
"numberLists",
",",
"numberLists",
"flowVolUnits",
"=",
"\"m3/s\"",
"heatGainUnits",
"=",
"\"W\"",
"airTempUnits",
"=",
"srfTempUnits",
"=",
"\"C\"",
"relHumidUnits",
"=",
"\"%\"",
"else",
":",
"checkData1",
",",
"checkData2",
",",
"checkData3",
",",
"checkData4",
",",
"checkData21",
",",
"checkData22",
",",
"checkData23",
",",
"checkData24",
",",
"checkData17",
",",
"checkData18",
"=",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
"warning",
"=",
"'If you have connected a viewFactorMesh that includes regions on the indoors, you must connect up energy simulation data for zoneAirTemp, srfIndoorTemp, zoneAirFlowVol, zoneAirHeatGain, and zoneRelHumid.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"else",
":",
"checkData1",
",",
"checkData2",
",",
"checkData3",
",",
"checkData4",
",",
"checkData21",
",",
"checkData22",
",",
"checkData23",
",",
"checkData24",
",",
"checkData17",
",",
"checkData18",
"=",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
",",
"False",
"warning",
"=",
"'If you have connected a viewFactorMesh that includes regions on the indoors, you must connect up energy simulation data for zoneAirTemp, srfIndoorTemp, zoneAirFlowVol, zoneAirHeatGain, and zoneRelHumid.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"if",
"checkData1",
"==",
"True",
"and",
"checkData2",
"==",
"True",
"and",
"checkData3",
"==",
"True",
"and",
"checkData4",
"==",
"True",
"and",
"checkData21",
"==",
"True",
"and",
"checkData22",
"==",
"True",
"and",
"checkData23",
"==",
"True",
"and",
"checkData24",
"==",
"True",
"and",
"checkData17",
"==",
"True",
"and",
"checkData18",
"==",
"True",
":",
"#Check the windowShadeTransmiss_.",
"checkData14",
"=",
"True",
"checkData32",
"=",
"True",
"winStatusNumbers",
"=",
"[",
"]",
"winStatusHeaders",
"=",
"[",
"]",
"allWindowShadesSame",
"=",
"True",
"try",
":",
"if",
"windowShadeTransmiss_",
".",
"BranchCount",
"==",
"1",
"and",
"len",
"(",
"windowShadeTransmiss_",
".",
"Branch",
"(",
"0",
")",
")",
"!=",
"8767",
":",
"windowShadeTransmiss",
"=",
"[",
"]",
"for",
"shadeValue",
"in",
"windowShadeTransmiss_",
".",
"Branch",
"(",
"0",
")",
":",
"windowShadeTransmiss",
".",
"append",
"(",
"shadeValue",
")",
"if",
"len",
"(",
"windowShadeTransmiss",
")",
"==",
"8760",
":",
"allGood",
"=",
"True",
"for",
"transVal",
"in",
"windowShadeTransmiss",
":",
"transFloat",
"=",
"float",
"(",
"transVal",
")",
"if",
"transFloat",
"<=",
"1.0",
"and",
"transFloat",
">=",
"0.0",
":",
"winStatusNumbers",
".",
"append",
"(",
"transFloat",
")",
"else",
":",
"allGood",
"=",
"False",
"if",
"allGood",
"==",
"False",
":",
"checkData14",
"=",
"False",
"warning",
"=",
"'windowShadeTransmiss_ must be a value between 0 and 1.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"elif",
"len",
"(",
"windowShadeTransmiss",
")",
"==",
"1",
":",
"if",
"float",
"(",
"windowShadeTransmiss",
"[",
"0",
"]",
")",
"<=",
"1.0",
"and",
"float",
"(",
"windowShadeTransmiss",
"[",
"0",
"]",
")",
">=",
"0.0",
":",
"for",
"count",
"in",
"range",
"(",
"8760",
")",
":",
"winStatusNumbers",
".",
"append",
"(",
"float",
"(",
"windowShadeTransmiss",
"[",
"0",
"]",
")",
")",
"else",
":",
"checkData14",
"=",
"False",
"warning",
"=",
"'windowShadeTransmiss_ must be a value between 0 and 1.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"elif",
"windowShadeTransmiss_",
".",
"BranchCount",
">",
"1",
"or",
"len",
"(",
"windowShadeTransmiss_",
".",
"Branch",
"(",
"0",
")",
")",
"==",
"8767",
":",
"allWindowShadesSame",
"=",
"False",
"checkData14",
",",
"checkData32",
",",
"winStatusUnits",
",",
"winStatusHeaders",
",",
"winStatusNumbers",
",",
"analysisPeriod",
"=",
"checkCreateDataTree",
"(",
"windowShadeTransmiss_",
",",
"\"windowShadeTransmiss_\"",
",",
"\"Surface Window System Solar Transmittance\"",
")",
"#Convert all of the numbers in shade status data tree to window transmissivities.",
"for",
"winBCount",
",",
"windowBranchList",
"in",
"enumerate",
"(",
"winStatusNumbers",
")",
":",
"for",
"shadHrCt",
",",
"shadVal",
"in",
"enumerate",
"(",
"windowBranchList",
")",
":",
"winStatusNumbers",
"[",
"winBCount",
"]",
"[",
"shadHrCt",
"]",
"=",
"float",
"(",
"shadVal",
")",
"elif",
"constantTransmis",
"==",
"True",
":",
"for",
"count",
"in",
"range",
"(",
"8760",
")",
":",
"winStatusNumbers",
".",
"append",
"(",
"1",
")",
"print",
"'No value found for windowShadeTransmiss_. The window shade status will be set to 1 assuming no additional shading beyond the window glass transmissivity.'",
"except",
":",
"for",
"count",
"in",
"range",
"(",
"8760",
")",
":",
"winStatusNumbers",
".",
"append",
"(",
"1",
")",
"print",
"'No value found for windowShadeTransmiss_. The window shade status will be set to 1 assuming no additional shading beyond the window glass transmissivity.'",
"#Check to see if there are hourly transmissivities for the additional shading.",
"if",
"constantTransmis",
"==",
"False",
":",
"allWindowShadesSame",
"=",
"False",
"for",
"transmisslistCount",
",",
"transmissList",
"in",
"enumerate",
"(",
"finalAddShdTransmiss",
")",
":",
"winStatusNumbers",
".",
"append",
"(",
"transmissList",
")",
"srfName",
"=",
"'AddShd'",
"+",
"str",
"(",
"transmisslistCount",
")",
"shdHeader",
"=",
"[",
"'key:location/dataType/units/frequency/startsAt/endsAt'",
",",
"'Location'",
",",
"'Surface Window System Solar Transmittance for '",
"+",
"srfName",
"+",
"': Window'",
",",
"'Fraction'",
",",
"'Hourly'",
",",
"analysisPeriod",
"[",
"0",
"]",
",",
"analysisPeriod",
"[",
"1",
"]",
"]",
"winStatusHeaders",
".",
"append",
"(",
"shdHeader",
")",
"#Check the windSpeed_.",
"checkData33",
"=",
"True",
"winSpeedNumbers",
"=",
"[",
"]",
"pathCheck",
"=",
"0",
"allWindSpeedsSame",
"=",
"1",
"if",
"windSpeed_",
".",
"BranchCount",
"==",
"1",
":",
"additionalWindSpeed",
"=",
"[",
"]",
"for",
"windValue",
"in",
"windSpeed_",
".",
"Branch",
"(",
"0",
")",
":",
"additionalWindSpeed",
".",
"append",
"(",
"windValue",
")",
"if",
"len",
"(",
"additionalWindSpeed",
")",
"==",
"1",
":",
"try",
":",
"for",
"count",
"in",
"range",
"(",
"8760",
")",
":",
"winSpeedNumbers",
".",
"append",
"(",
"float",
"(",
"additionalWindSpeed",
"[",
"0",
"]",
")",
")",
"except",
":",
"try",
":",
"if",
"additionalWindSpeed",
"[",
"0",
"]",
".",
"upper",
"(",
")",
".",
"endswith",
"(",
"'.CSV'",
")",
":",
"allWindSpeedsSame",
"=",
"-",
"1",
"result",
"=",
"open",
"(",
"additionalWindSpeed",
"[",
"0",
"]",
",",
"'r'",
")",
"for",
"lineCount",
",",
"line",
"in",
"enumerate",
"(",
"result",
")",
":",
"winSpeedNumbers",
".",
"append",
"(",
"[",
"]",
")",
"for",
"column",
"in",
"line",
".",
"split",
"(",
"','",
")",
":",
"winSpeedNumbers",
"[",
"lineCount",
"]",
".",
"append",
"(",
"float",
"(",
"column",
")",
")",
"result",
".",
"close",
"(",
")",
"else",
":",
"checkData33",
"=",
"False",
"warning",
"=",
"'windSpeed_ values not recognized.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"except",
":",
"checkData33",
"=",
"False",
"warning",
"=",
"'windSpeed_ values not recognized.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"elif",
"len",
"(",
"additionalWindSpeed",
")",
"==",
"8760",
":",
"allGood",
"=",
"True",
"for",
"winSp",
"in",
"additionalWindSpeed",
":",
"windFloat",
"=",
"float",
"(",
"winSp",
")",
"if",
"windFloat",
">=",
"0.0",
":",
"winSpeedNumbers",
".",
"append",
"(",
"windFloat",
")",
"else",
":",
"allGood",
"=",
"False",
"if",
"allGood",
"==",
"False",
":",
"checkData33",
"=",
"False",
"warning",
"=",
"'windSpeed_ must be a value greater than 0.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"else",
":",
"checkData33",
"=",
"False",
"warning",
"=",
"'windSpeed_ must be either a list of 8760 values that correspond to hourly changing wind speeds over the year or a single constant value for the whole year.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"elif",
"windSpeed_",
".",
"BranchCount",
">",
"1",
":",
"if",
"windSpeed_",
".",
"BranchCount",
"==",
"testPtNum",
":",
"#Wind speed values for each point in the analysis.",
"allWindSpeedsSame",
"=",
"-",
"1",
"winSpeedNumInit",
"=",
"[",
"]",
"for",
"i",
"in",
"range",
"(",
"windSpeed_",
".",
"BranchCount",
")",
":",
"branchList",
"=",
"windSpeed_",
".",
"Branch",
"(",
"i",
")",
"dataVal",
"=",
"[",
"]",
"for",
"item",
"in",
"branchList",
":",
"dataVal",
".",
"append",
"(",
"float",
"(",
"item",
")",
")",
"winSpeedNumInit",
".",
"append",
"(",
"dataVal",
")",
"winSpeedNumbers",
"=",
"zip",
"(",
"*",
"winSpeedNumInit",
")",
"elif",
"windSpeed_",
".",
"BranchCount",
"==",
"_viewFactorMesh",
".",
"BranchCount",
":",
"#Wind speed for each zone in the analysis.",
"allWindSpeedsSame",
"=",
"0",
"treePaths",
"=",
"windSpeed_",
".",
"Paths",
"for",
"path",
"in",
"treePaths",
":",
"i",
"=",
"path",
".",
"Indices",
"[",
"0",
"]",
"if",
"i",
"==",
"pathCheck",
":",
"branchList",
"=",
"windSpeed_",
".",
"Branch",
"(",
"path",
")",
"dataVal",
"=",
"[",
"]",
"for",
"item",
"in",
"branchList",
":",
"dataVal",
".",
"append",
"(",
"float",
"(",
"item",
")",
")",
"winSpeedNumbers",
".",
"append",
"(",
"dataVal",
")",
"pathCheck",
"+=",
"1",
"else",
":",
"while",
"pathCheck",
"<",
"i",
":",
"winSpeedNumbers",
".",
"append",
"(",
"[",
"]",
")",
"pathCheck",
"+=",
"1",
"if",
"i",
"==",
"pathCheck",
":",
"branchList",
"=",
"windSpeed_",
".",
"Branch",
"(",
"path",
")",
"dataVal",
"=",
"[",
"]",
"for",
"item",
"in",
"branchList",
":",
"dataVal",
".",
"append",
"(",
"float",
"(",
"item",
")",
")",
"winSpeedNumbers",
".",
"append",
"(",
"dataVal",
")",
"pathCheck",
"+=",
"1",
"if",
"len",
"(",
"winSpeedNumbers",
")",
"<",
"finalCheck",
":",
"while",
"len",
"(",
"winSpeedNumbers",
")",
"<",
"finalCheck",
":",
"winSpeedNumbers",
".",
"append",
"(",
"[",
"]",
")",
"else",
":",
"checkData33",
"=",
"False",
"warning",
"=",
"'windSpeed_ data tree branches do not match those of the viewFactorMesh or the number of testPts.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"else",
":",
"print",
"'No value found for windSpeed_. The components will use an indoor wind speed from the air flow volume or outdoor EPW wind speed.'",
"#Check to be sure that the units of flowVol and heat gain are correct.",
"checkData9",
"=",
"True",
"if",
"flowVolUnits",
"==",
"\"m3/s\"",
":",
"pass",
"else",
":",
"checkData9",
"=",
"False",
"warning",
"=",
"\"_zoneFlowVol must be in m3/s.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"checkData10",
"=",
"True",
"if",
"heatGainUnits",
"==",
"\"W\"",
":",
"pass",
"else",
":",
"checkData10",
"=",
"False",
"warning",
"=",
"\"_zoneHeatGain must be in W.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"checkData11",
"=",
"True",
"if",
"airTempUnits",
"==",
"srfTempUnits",
"==",
"\"C\"",
":",
"pass",
"else",
":",
"checkData11",
"=",
"False",
"warning",
"=",
"\"zoneAirTemp_ and srfIndoorTemp_ must be in degrees C.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"checkData19",
"=",
"True",
"if",
"relHumidUnits",
"==",
"\"%\"",
":",
"pass",
"else",
":",
"checkData11",
"=",
"False",
"warning",
"=",
"\"zoneRelHumid_ must be in %.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"checkData28",
"=",
"True",
"if",
"outSrfTempUnits",
"==",
"\"C\"",
":",
"pass",
"else",
":",
"checkData28",
"=",
"False",
"warning",
"=",
"\"_srfOutdoorTemp must be in degrees C.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"#Try to parse the weather file in order to get direct rad, diffuse rad, and location data.",
"checkData5",
"=",
"True",
"if",
"not",
"os",
".",
"path",
".",
"isfile",
"(",
"_epwFile",
")",
":",
"checkData5",
"=",
"False",
"warningM",
"=",
"\"Failed to find the file: \"",
"+",
"str",
"(",
"_epwFile",
")",
"print",
"warningM",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warningM",
")",
"else",
":",
"locationData",
"=",
"lb_preparation",
".",
"epwLocation",
"(",
"_epwFile",
")",
"location",
"=",
"locationData",
"[",
"-",
"1",
"]",
"weatherData",
"=",
"lb_preparation",
".",
"epwDataReader",
"(",
"_epwFile",
",",
"locationData",
"[",
"0",
"]",
")",
"directNormalRadiation",
"=",
"weatherData",
"[",
"5",
"]",
"diffuseHorizontalRadiation",
"=",
"weatherData",
"[",
"6",
"]",
"globalHorizontalRadiation",
"=",
"weatherData",
"[",
"7",
"]",
"horizInfraredRadiation",
"=",
"weatherData",
"[",
"12",
"]",
"outDryBulbTemp",
"=",
"weatherData",
"[",
"0",
"]",
"outRelHumid",
"=",
"weatherData",
"[",
"2",
"]",
"outWindSpeed",
"=",
"weatherData",
"[",
"3",
"]",
"#Separate out the _dirNormRad, the diffuse Horizontal rad, and the location data.",
"directSolarRad",
"=",
"[",
"]",
"diffSolarRad",
"=",
"[",
"]",
"latitude",
"=",
"None",
"longitude",
"=",
"None",
"timeZone",
"=",
"None",
"if",
"checkData5",
"==",
"True",
":",
"directSolarRad",
"=",
"directNormalRadiation",
"[",
"7",
":",
"]",
"diffSolarRad",
"=",
"diffuseHorizontalRadiation",
"[",
"7",
":",
"]",
"globHorizRad",
"=",
"globalHorizontalRadiation",
"[",
"7",
":",
"]",
"horizInfraredRadiation",
"=",
"horizInfraredRadiation",
"[",
"7",
":",
"]",
"locList",
"=",
"location",
".",
"split",
"(",
"'\\n'",
")",
"for",
"line",
"in",
"locList",
":",
"if",
"\"Latitude\"",
"in",
"line",
":",
"latitude",
"=",
"float",
"(",
"line",
".",
"split",
"(",
"','",
")",
"[",
"0",
"]",
")",
"elif",
"\"Longitude\"",
"in",
"line",
":",
"longitude",
"=",
"float",
"(",
"line",
".",
"split",
"(",
"','",
")",
"[",
"0",
"]",
")",
"elif",
"\"Time Zone\"",
"in",
"line",
":",
"timeZone",
"=",
"float",
"(",
"line",
".",
"split",
"(",
"','",
")",
"[",
"0",
"]",
")",
"#Check to be sure that the number of mesh faces and test points match.",
"checkData8",
"=",
"True",
"if",
"checkData25",
"==",
"True",
":",
"for",
"zoneCount",
",",
"zone",
"in",
"enumerate",
"(",
"viewFactorMesh",
")",
":",
"if",
"len",
"(",
"zone",
")",
"!=",
"1",
":",
"totalFaces",
"=",
"0",
"for",
"meshCount",
",",
"mesh",
"in",
"enumerate",
"(",
"zone",
")",
":",
"totalFaces",
"=",
"totalFaces",
"+",
"mesh",
".",
"Faces",
".",
"Count",
"if",
"totalFaces",
"==",
"len",
"(",
"testPtViewFactor",
"[",
"zoneCount",
"]",
")",
":",
"pass",
"else",
":",
"totalVertices",
"=",
"0",
"for",
"meshCount",
",",
"mesh",
"in",
"enumerate",
"(",
"zone",
")",
":",
"totalVertices",
"=",
"totalVertices",
"+",
"mesh",
".",
"Vertices",
".",
"Count",
"if",
"totalVertices",
"==",
"len",
"(",
"testPtViewFactor",
"[",
"zoneCount",
"]",
")",
":",
"pass",
"else",
":",
"checkData8",
"=",
"False",
"warning",
"=",
"\"For one of the meshes in the _viewFactorMesh, the number of faces in the mesh and test points in the _testPtViewFactor do not match.\\n\"",
"+",
"\"This can sometimes happen when you have geometry created with one Rhino model tolerance and you generate a mesh off of it with a different tolerance.\\n\"",
"+",
"\"Try changing your Rhino model tolerance and seeing if it works.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"else",
":",
"if",
"zone",
"[",
"0",
"]",
".",
"Faces",
".",
"Count",
"==",
"len",
"(",
"testPtViewFactor",
"[",
"zoneCount",
"]",
")",
":",
"pass",
"else",
":",
"if",
"zone",
"[",
"0",
"]",
".",
"Vertices",
".",
"Count",
"==",
"len",
"(",
"testPtViewFactor",
"[",
"zoneCount",
"]",
")",
":",
"pass",
"else",
":",
"checkData8",
"=",
"False",
"warning",
"=",
"\"For one of the meshes in the _viewFactorMesh, the number of faces in the mesh and test points in the _testPtViewFactor do not match.\\n\"",
"+",
"\"This can sometimes happen when you have geometry created with one Rhino model tolerance and you generate a mesh off of it with a different tolerance.\\n\"",
"+",
"\"Try changing your Rhino model tolerance and seeing if it works.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"w",
",",
"warning",
")",
"#If there are no outdoor surface temperatures and there are outdoor view factors, remove it from the mesh.",
"if",
"outdoorClac",
"==",
"False",
"and",
"outdoorIsThere",
"==",
"True",
":",
"zoneSrfNames",
"=",
"zoneSrfNames",
"[",
":",
"-",
"1",
"]",
"testPtViewFactor",
"=",
"testPtViewFactor",
"[",
":",
"-",
"1",
"]",
"viewFactorMesh",
"=",
"viewFactorMesh",
"[",
":",
"-",
"1",
"]",
"testPtSkyView",
"=",
"testPtSkyView",
"[",
":",
"-",
"1",
"]",
"testPtBlockedVec",
"=",
"testPtBlockedVec",
"[",
":",
"-",
"1",
"]",
"#Figure out the number of times to divide the sky based on the length of the blockedVec list.",
"numSkyPatchDivs",
"=",
"0",
"checkData12",
"=",
"True",
"if",
"checkData25",
"==",
"True",
":",
"for",
"blockList",
"in",
"testPtBlockedVec",
":",
"if",
"blockList",
"!=",
"[",
"]",
":",
"if",
"len",
"(",
"blockList",
"[",
"0",
"]",
")",
"==",
"145",
":",
"numSkyPatchDivs",
"=",
"0",
"elif",
"len",
"(",
"blockList",
"[",
"0",
"]",
")",
"==",
"577",
":",
"numSkyPatchDivs",
"=",
"1",
"elif",
"len",
"(",
"blockList",
"[",
"0",
"]",
")",
"==",
"1297",
":",
"numSkyPatchDivs",
"=",
"2",
"elif",
"len",
"(",
"blockList",
"[",
"0",
"]",
")",
"==",
"2305",
":",
"numSkyPatchDivs",
"=",
"3",
"else",
":",
"checkData12",
"=",
"False",
"warning",
"=",
"\"You have an absurdly high number of view vectors from the 'Indoor View Factor' component such that it is not supported by the current component.\"",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"#Check the clothing absorptivity.",
"checkData7",
"=",
"True",
"cloA",
"=",
"0.7",
"if",
"cloAbsorptivity_",
"!=",
"None",
":",
"if",
"cloAbsorptivity_",
"<=",
"1.0",
"and",
"cloAbsorptivity_",
">=",
"0.0",
":",
"cloA",
"=",
"cloAbsorptivity_",
"else",
":",
"checkData7",
"=",
"False",
"warning",
"=",
"'cloAbsorptivity_ must be a value between 0 and 1.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"else",
":",
"print",
"'No value found for cloAbsorptivity_. The absorptivity will be set to 0.7 for average brown skin and typical clothing.'",
"#Check the outdoor terrain.",
"checkData31",
",",
"terrainType",
",",
"d",
",",
"a",
"=",
"lb_wind",
".",
"readTerrainType",
"(",
"outdoorTerrain_",
")",
"if",
"checkData31",
"==",
"False",
":",
"warning",
"=",
"\"Invalid input for terrainType_.\"",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"else",
":",
"print",
"\"Terrain set to \"",
"+",
"terrainType",
"+",
"\".\"",
"#Check the inletHeightOverride_.",
"inletHeightOverride",
"=",
"[",
"]",
"checkData15",
"=",
"True",
"if",
"checkData25",
"==",
"True",
"and",
"len",
"(",
"inletHeightOverride_",
")",
">",
"0",
":",
"if",
"len",
"(",
"inletHeightOverride_",
")",
"==",
"len",
"(",
"viewFactorMesh",
")",
":",
"inletHeightOverride",
"=",
"inletHeightOverride_",
"else",
":",
"checkData15",
"=",
"False",
"warning",
"=",
"'The length of data in the inletHeightOverride_ does not match the number of branches in the data tree of the _viewFactorMesh.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"#Check the wellMixedAirOverride_.",
"checkData16",
"=",
"True",
"mixedAirOverride",
"=",
"[",
"]",
"if",
"wellMixedAirOverride_",
"!=",
"[",
"]",
":",
"if",
"len",
"(",
"wellMixedAirOverride_",
")",
"==",
"8760",
":",
"for",
"val",
"in",
"wellMixedAirOverride_",
":",
"mixedAirOverride",
".",
"append",
"(",
"int",
"(",
"val",
")",
")",
"elif",
"len",
"(",
"wellMixedAirOverride_",
")",
"==",
"1",
":",
"for",
"count",
"in",
"range",
"(",
"8760",
")",
":",
"mixedAirOverride",
".",
"append",
"(",
"int",
"(",
"wellMixedAirOverride_",
"[",
"0",
"]",
")",
")",
"else",
":",
"checkData16",
"=",
"False",
"warning",
"=",
"'wellMixedAirOverride_ must be either a list of 8760 values that correspond to hourly air mixing over the year or a single constant value for the whole year.'",
"print",
"warning",
"ghenv",
".",
"Component",
".",
"AddRuntimeMessage",
"(",
"gh",
".",
"GH_RuntimeMessageLevel",
".",
"Warning",
",",
"warning",
")",
"else",
":",
"for",
"count",
"in",
"range",
"(",
"8760",
")",
":",
"mixedAirOverride",
".",
"append",
"(",
"0",
")",
"print",
"'No value found for wellMixedAirOverride_. The stratification calculation will be run for every hour of the year.'",
"#Check the north direction.",
"northAngle",
",",
"northVector",
"=",
"lb_preparation",
".",
"angle2north",
"(",
"north_",
")",
"#Do a final check of everything.",
"if",
"checkData1",
"==",
"True",
"and",
"checkData2",
"==",
"True",
"and",
"checkData3",
"==",
"True",
"and",
"checkData4",
"==",
"True",
"and",
"checkData5",
"==",
"True",
"and",
"checkData7",
"==",
"True",
"and",
"checkData8",
"==",
"True",
"and",
"checkData9",
"==",
"True",
"and",
"checkData10",
"==",
"True",
"and",
"checkData11",
"==",
"True",
"and",
"checkData12",
"==",
"True",
"and",
"checkData13",
"==",
"True",
"and",
"checkData14",
"==",
"True",
"and",
"checkData15",
"==",
"True",
"and",
"checkData16",
"==",
"True",
"and",
"checkData17",
"==",
"True",
"and",
"checkData18",
"==",
"True",
"and",
"checkData19",
"==",
"True",
"and",
"checkData21",
"==",
"True",
"and",
"checkData22",
"==",
"True",
"and",
"checkData23",
"==",
"True",
"and",
"checkData24",
"==",
"True",
"and",
"checkData25",
"==",
"True",
"and",
"checkData28",
"==",
"True",
"and",
"checkData29",
"==",
"True",
"and",
"checkData30",
"==",
"True",
"and",
"checkData31",
"==",
"True",
"and",
"checkData32",
"==",
"True",
"and",
"checkData33",
"==",
"True",
":",
"checkData",
"=",
"True",
"else",
":",
"return",
"-",
"1",
"return",
"\"UTCI\"",
",",
"srfTempNumbers",
",",
"srfTempHeaders",
",",
"airTempDataNumbers",
",",
"airTempDataHeaders",
",",
"flowVolDataHeaders",
",",
"flowVolDataNumbers",
",",
"heatGainDataHeaders",
",",
"heatGainDataNumbers",
",",
"relHumidDataHeaders",
",",
"relHumidDataNumbers",
",",
"zoneSrfNames",
",",
"testPtViewFactor",
",",
"viewFactorMesh",
",",
"latitude",
",",
"longitude",
",",
"timeZone",
",",
"diffSolarRad",
",",
"directSolarRad",
",",
"globHorizRad",
",",
"testPtSkyView",
",",
"testPtBlockedVec",
",",
"numSkyPatchDivs",
",",
"winStatusNumbers",
",",
"cloA",
",",
"zoneFloorReflectivity",
",",
"testPtZoneNames",
",",
"testPtZoneWeights",
",",
"ptHeightWeights",
",",
"zoneInletInfo",
",",
"inletHeightOverride",
",",
"mixedAirOverride",
",",
"zoneHasWindows",
",",
"outdoorClac",
",",
"outSrfTempHeaders",
",",
"outSrfTempNumbers",
",",
"outdoorNonSrfViewFac",
",",
"outDryBulbTemp",
",",
"outRelHumid",
",",
"outWindSpeed",
",",
"d",
",",
"a",
",",
"outdoorPtHeightWeights",
",",
"allWindowShadesSame",
",",
"winStatusHeaders",
",",
"testPtBlockName",
",",
"zoneWindowTransmiss",
",",
"zoneWindowNames",
",",
"allWindSpeedsSame",
",",
"winSpeedNumbers",
",",
"analysisPeriod",
",",
"northAngle",
",",
"horizInfraredRadiation",
"else",
":",
"return",
"-",
"1"
] |
https://github.com/ladybug-tools/honeybee-legacy/blob/bd62af4862fe022801fb87dbc8794fdf1dff73a9/src/Honeybee_Outdoor Comfort Analysis Recipe.py#L93-L659
|
||||
automl/Auto-PyTorch
|
06e67de5017b4cccad9398e24a3d9f0bd8176da3
|
autoPyTorch/pipeline/components/preprocessing/base_preprocessing.py
|
python
|
autoPyTorchPreprocessingComponent.transform
|
(self, X: Dict[str, Any])
|
Adds the fitted early_preprocessor into the 'X' dictionary and returns it.
Args:
X (Dict[str, Any]): 'X' dictionary
Returns:
(Dict[str, Any]): the updated 'X' dictionary
|
Adds the fitted early_preprocessor into the 'X' dictionary and returns it.
Args:
X (Dict[str, Any]): 'X' dictionary
|
[
"Adds",
"the",
"fitted",
"early_preprocessor",
"into",
"the",
"X",
"dictionary",
"and",
"returns",
"it",
".",
"Args",
":",
"X",
"(",
"Dict",
"[",
"str",
"Any",
"]",
")",
":",
"X",
"dictionary"
] |
def transform(self, X: Dict[str, Any]) -> Dict[str, Any]:
"""
Adds the fitted early_preprocessor into the 'X' dictionary and returns it.
Args:
X (Dict[str, Any]): 'X' dictionary
Returns:
(Dict[str, Any]): the updated 'X' dictionary
"""
raise NotImplementedError()
|
[
"def",
"transform",
"(",
"self",
",",
"X",
":",
"Dict",
"[",
"str",
",",
"Any",
"]",
")",
"->",
"Dict",
"[",
"str",
",",
"Any",
"]",
":",
"raise",
"NotImplementedError",
"(",
")"
] |
https://github.com/automl/Auto-PyTorch/blob/06e67de5017b4cccad9398e24a3d9f0bd8176da3/autoPyTorch/pipeline/components/preprocessing/base_preprocessing.py#L33-L42
|
||
JiYou/openstack
|
8607dd488bde0905044b303eb6e52bdea6806923
|
chap19/monitor/monitor/monitor/api/xmlutil.py
|
python
|
TemplateBuilder.construct
|
(self)
|
Construct a template.
Called to construct a template instance, which it must return.
Only called once.
|
Construct a template.
|
[
"Construct",
"a",
"template",
"."
] |
def construct(self):
"""Construct a template.
Called to construct a template instance, which it must return.
Only called once.
"""
raise NotImplementedError(_("subclasses must implement construct()!"))
|
[
"def",
"construct",
"(",
"self",
")",
":",
"raise",
"NotImplementedError",
"(",
"_",
"(",
"\"subclasses must implement construct()!\"",
")",
")"
] |
https://github.com/JiYou/openstack/blob/8607dd488bde0905044b303eb6e52bdea6806923/chap19/monitor/monitor/monitor/api/xmlutil.py#L854-L861
|
||
SheffieldML/GPy
|
bb1bc5088671f9316bc92a46d356734e34c2d5c0
|
GPy/mappings/mlpext.py
|
python
|
MLPext.__init__
|
(self, input_dim=1, output_dim=1, hidden_dims=[3], prior=None, activation='tanh', name='mlpmap')
|
:param input_dim: number of input dimensions
:param output_dim: number of output dimensions
:param hidden_dims: list of hidden sizes of hidden layers
:param prior: variance of Gaussian prior on all variables. If None, no prior is used (default: None)
:param activation: choose activation function. Allowed values are 'tanh' and 'sigmoid'
:param name:
|
:param input_dim: number of input dimensions
:param output_dim: number of output dimensions
:param hidden_dims: list of hidden sizes of hidden layers
:param prior: variance of Gaussian prior on all variables. If None, no prior is used (default: None)
:param activation: choose activation function. Allowed values are 'tanh' and 'sigmoid'
:param name:
|
[
":",
"param",
"input_dim",
":",
"number",
"of",
"input",
"dimensions",
":",
"param",
"output_dim",
":",
"number",
"of",
"output",
"dimensions",
":",
"param",
"hidden_dims",
":",
"list",
"of",
"hidden",
"sizes",
"of",
"hidden",
"layers",
":",
"param",
"prior",
":",
"variance",
"of",
"Gaussian",
"prior",
"on",
"all",
"variables",
".",
"If",
"None",
"no",
"prior",
"is",
"used",
"(",
"default",
":",
"None",
")",
":",
"param",
"activation",
":",
"choose",
"activation",
"function",
".",
"Allowed",
"values",
"are",
"tanh",
"and",
"sigmoid",
":",
"param",
"name",
":"
] |
def __init__(self, input_dim=1, output_dim=1, hidden_dims=[3], prior=None, activation='tanh', name='mlpmap'):
"""
:param input_dim: number of input dimensions
:param output_dim: number of output dimensions
:param hidden_dims: list of hidden sizes of hidden layers
:param prior: variance of Gaussian prior on all variables. If None, no prior is used (default: None)
:param activation: choose activation function. Allowed values are 'tanh' and 'sigmoid'
:param name:
"""
super(MLPext, self).__init__(input_dim=input_dim, output_dim=output_dim, name=name)
assert activation in ['tanh', 'sigmoid', 'relu'], NotImplementedError('Only tanh, relu and sigmoid activations'
'are implemented')
self.hidden_dims = hidden_dims
self.W_list = list()
self.b_list = list()
for i in np.arange(len(hidden_dims) + 1):
in_dim = input_dim if i == 0 else hidden_dims[i - 1]
out_dim = output_dim if i == len(hidden_dims) else hidden_dims[i]
self.W_list.append(Param('W%d'%i, np.random.randn(in_dim, out_dim)))
self.b_list.append(Param('b%d'%i, np.random.randn(out_dim)))
if prior is not None:
for W, b in zip(self.W_list, self.b_list):
W.set_prior(Gaussian(0, prior))
b.set_prior(Gaussian(0, prior))
self.link_parameters(*self.W_list)
self.link_parameters(*self.b_list)
if activation == 'tanh':
self.act = np.tanh
self.grad_act = lambda x: 1. / np.square(np.cosh(x))
elif activation == 'sigmoid':
from scipy.special import expit
from scipy.stats import logistic
self.act = expit
self.grad_act = logistic._pdf
elif activation == 'relu':
self.act = lambda x: x * (x > 0)
self.grad_act = lambda x: 1. * (x > 0)
|
[
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"'W%d'",
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"out_dim",
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",",
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"'tanh'",
":",
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"act",
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"grad_act",
"=",
"lambda",
"x",
":",
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"/",
"np",
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"(",
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"lambda",
"x",
":",
"1.",
"*",
"(",
"x",
">",
"0",
")"
] |
https://github.com/SheffieldML/GPy/blob/bb1bc5088671f9316bc92a46d356734e34c2d5c0/GPy/mappings/mlpext.py#L15-L57
|
||
oracle/graalpython
|
577e02da9755d916056184ec441c26e00b70145c
|
graalpython/lib-python/3/mailcap.py
|
python
|
show
|
(caps)
|
[] |
def show(caps):
print("Mailcap files:")
for fn in listmailcapfiles(): print("\t" + fn)
print()
if not caps: caps = getcaps()
print("Mailcap entries:")
print()
ckeys = sorted(caps)
for type in ckeys:
print(type)
entries = caps[type]
for e in entries:
keys = sorted(e)
for k in keys:
print(" %-15s" % k, e[k])
print()
|
[
"def",
"show",
"(",
"caps",
")",
":",
"print",
"(",
"\"Mailcap files:\"",
")",
"for",
"fn",
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")",
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"print",
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"\"\\t\"",
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"\" %-15s\"",
"%",
"k",
",",
"e",
"[",
"k",
"]",
")",
"print",
"(",
")"
] |
https://github.com/oracle/graalpython/blob/577e02da9755d916056184ec441c26e00b70145c/graalpython/lib-python/3/mailcap.py#L257-L272
|
||||
joschu/cgt
|
90b15ab041fc2137e62b96e8612ccee605f71ceb
|
cgt/api.py
|
python
|
ones_like
|
(x)
|
return ones(shape(x), x.dtype)
|
Like numpy.ones_like
|
Like numpy.ones_like
|
[
"Like",
"numpy",
".",
"ones_like"
] |
def ones_like(x):
"""
Like numpy.ones_like
"""
return ones(shape(x), x.dtype)
|
[
"def",
"ones_like",
"(",
"x",
")",
":",
"return",
"ones",
"(",
"shape",
"(",
"x",
")",
",",
"x",
".",
"dtype",
")"
] |
https://github.com/joschu/cgt/blob/90b15ab041fc2137e62b96e8612ccee605f71ceb/cgt/api.py#L501-L505
|
|
fedora-infra/anitya
|
cc01878ac023790646a76eb4cbef45d639e2372c
|
anitya/lib/backends/gnome.py
|
python
|
GnomeBackend.get_versions
|
(cls, project)
|
return output
|
Method called to retrieve all the versions (that can be found)
of the projects provided, project that relies on the backend of
this plugin.
:arg Project project: a :class:`anitya.db.models.Project` object whose backend
corresponds to the current plugin.
:return: a list of all the possible releases found
:return type: list
:raise AnityaPluginException: a
:class:`anitya.lib.exceptions.AnityaPluginException` exception
when the versions cannot be retrieved correctly
|
Method called to retrieve all the versions (that can be found)
of the projects provided, project that relies on the backend of
this plugin.
|
[
"Method",
"called",
"to",
"retrieve",
"all",
"the",
"versions",
"(",
"that",
"can",
"be",
"found",
")",
"of",
"the",
"projects",
"provided",
"project",
"that",
"relies",
"on",
"the",
"backend",
"of",
"this",
"plugin",
"."
] |
def get_versions(cls, project):
"""Method called to retrieve all the versions (that can be found)
of the projects provided, project that relies on the backend of
this plugin.
:arg Project project: a :class:`anitya.db.models.Project` object whose backend
corresponds to the current plugin.
:return: a list of all the possible releases found
:return type: list
:raise AnityaPluginException: a
:class:`anitya.lib.exceptions.AnityaPluginException` exception
when the versions cannot be retrieved correctly
"""
output = []
try:
# First try to get the version by using the cache.json file
output = use_gnome_cache_json(project)
except Exception as err:
_log.exception(err)
output = use_gnome_regex(project)
return output
|
[
"def",
"get_versions",
"(",
"cls",
",",
"project",
")",
":",
"output",
"=",
"[",
"]",
"try",
":",
"# First try to get the version by using the cache.json file",
"output",
"=",
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"(",
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"exception",
"(",
"err",
")",
"output",
"=",
"use_gnome_regex",
"(",
"project",
")",
"return",
"output"
] |
https://github.com/fedora-infra/anitya/blob/cc01878ac023790646a76eb4cbef45d639e2372c/anitya/lib/backends/gnome.py#L98-L121
|
|
WolframResearch/WolframClientForPython
|
27cffef560eea8d16c02fe4086f42363604284b6
|
wolframclient/utils/dispatch.py
|
python
|
Dispatch.clear
|
(self)
|
Reset the dispatcher to its initial state.
|
Reset the dispatcher to its initial state.
|
[
"Reset",
"the",
"dispatcher",
"to",
"its",
"initial",
"state",
"."
] |
def clear(self):
""" Reset the dispatcher to its initial state. """
self.dispatch_dict = dict()
self.dispatch_dict_cache = dict()
|
[
"def",
"clear",
"(",
"self",
")",
":",
"self",
".",
"dispatch_dict",
"=",
"dict",
"(",
")",
"self",
".",
"dispatch_dict_cache",
"=",
"dict",
"(",
")"
] |
https://github.com/WolframResearch/WolframClientForPython/blob/27cffef560eea8d16c02fe4086f42363604284b6/wolframclient/utils/dispatch.py#L114-L117
|
||
hacktoolkit/django-htk
|
902f3780630f1308aa97a70b9b62a5682239ff2d
|
lib/shopify_lib/archivers.py
|
python
|
HtkShopifyArchiver.archive_all
|
(self, include_products=True, include_customers=True, include_orders=True)
|
Archives everything
|
Archives everything
|
[
"Archives",
"everything"
] |
def archive_all(self, include_products=True, include_customers=True, include_orders=True):
"""Archives everything
"""
self._reset_cache()
if include_products:
self._safe_archive(self.archive_products)
if include_customers:
self._safe_archive(self.archive_customers)
if include_orders:
self._safe_archive(self.archive_orders)
|
[
"def",
"archive_all",
"(",
"self",
",",
"include_products",
"=",
"True",
",",
"include_customers",
"=",
"True",
",",
"include_orders",
"=",
"True",
")",
":",
"self",
".",
"_reset_cache",
"(",
")",
"if",
"include_products",
":",
"self",
".",
"_safe_archive",
"(",
"self",
".",
"archive_products",
")",
"if",
"include_customers",
":",
"self",
".",
"_safe_archive",
"(",
"self",
".",
"archive_customers",
")",
"if",
"include_orders",
":",
"self",
".",
"_safe_archive",
"(",
"self",
".",
"archive_orders",
")"
] |
https://github.com/hacktoolkit/django-htk/blob/902f3780630f1308aa97a70b9b62a5682239ff2d/lib/shopify_lib/archivers.py#L70-L80
|
||
rndusr/stig
|
334f03e2e3eda7c1856dd5489f0265a47b9861b6
|
stig/client/utils.py
|
python
|
SleepUneasy.interrupt
|
(self)
|
Stop sleeping
|
Stop sleeping
|
[
"Stop",
"sleeping"
] |
def interrupt(self):
"""Stop sleeping"""
self._interrupt.set()
|
[
"def",
"interrupt",
"(",
"self",
")",
":",
"self",
".",
"_interrupt",
".",
"set",
"(",
")"
] |
https://github.com/rndusr/stig/blob/334f03e2e3eda7c1856dd5489f0265a47b9861b6/stig/client/utils.py#L591-L593
|
||
ales-tsurko/cells
|
4cf7e395cd433762bea70cdc863a346f3a6fe1d0
|
packaging/macos/python/lib/python3.7/uuid.py
|
python
|
_netbios_getnode
|
()
|
return first_local_mac or None
|
Get the hardware address on Windows using NetBIOS calls.
See http://support.microsoft.com/kb/118623 for details.
|
Get the hardware address on Windows using NetBIOS calls.
See http://support.microsoft.com/kb/118623 for details.
|
[
"Get",
"the",
"hardware",
"address",
"on",
"Windows",
"using",
"NetBIOS",
"calls",
".",
"See",
"http",
":",
"//",
"support",
".",
"microsoft",
".",
"com",
"/",
"kb",
"/",
"118623",
"for",
"details",
"."
] |
def _netbios_getnode():
"""Get the hardware address on Windows using NetBIOS calls.
See http://support.microsoft.com/kb/118623 for details."""
import win32wnet, netbios
first_local_mac = None
ncb = netbios.NCB()
ncb.Command = netbios.NCBENUM
ncb.Buffer = adapters = netbios.LANA_ENUM()
adapters._pack()
if win32wnet.Netbios(ncb) != 0:
return None
adapters._unpack()
for i in range(adapters.length):
ncb.Reset()
ncb.Command = netbios.NCBRESET
ncb.Lana_num = ord(adapters.lana[i])
if win32wnet.Netbios(ncb) != 0:
continue
ncb.Reset()
ncb.Command = netbios.NCBASTAT
ncb.Lana_num = ord(adapters.lana[i])
ncb.Callname = '*'.ljust(16)
ncb.Buffer = status = netbios.ADAPTER_STATUS()
if win32wnet.Netbios(ncb) != 0:
continue
status._unpack()
bytes = status.adapter_address[:6]
if len(bytes) != 6:
continue
mac = int.from_bytes(bytes, 'big')
if _is_universal(mac):
return mac
first_local_mac = first_local_mac or mac
return first_local_mac or None
|
[
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"LANA_ENUM",
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":",
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"(",
"bytes",
")",
"!=",
"6",
":",
"continue",
"mac",
"=",
"int",
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"from_bytes",
"(",
"bytes",
",",
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")",
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"(",
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")",
":",
"return",
"mac",
"first_local_mac",
"=",
"first_local_mac",
"or",
"mac",
"return",
"first_local_mac",
"or",
"None"
] |
https://github.com/ales-tsurko/cells/blob/4cf7e395cd433762bea70cdc863a346f3a6fe1d0/packaging/macos/python/lib/python3.7/uuid.py#L517-L550
|
|
robclewley/pydstool
|
939e3abc9dd1f180d35152bacbde57e24c85ff26
|
PyDSTool/ModelTools.py
|
python
|
GenTransform.makeStaticVar
|
(self, obj_name)
|
Force RHSfuncSpec variable to have RHS=0.
|
Force RHSfuncSpec variable to have RHS=0.
|
[
"Force",
"RHSfuncSpec",
"variable",
"to",
"have",
"RHS",
"=",
"0",
"."
] |
def makeStaticVar(self, obj_name):
"""Force RHSfuncSpec variable to have RHS=0.
"""
try:
obj = self.trans_gen.modelspec[obj_name]
except KeyError:
raise PyDSTool_ValueError("Unknown object")
if parseUtils.isHierarchicalName(obj_name):
parent_name = obj_name.split(parseUtils.NAMESEP)[0]
else:
parent_name = ''
if obj.typestr != 'var' and obj.specType != 'RHSfuncSpec':
raise PyDSTool_TypeError("Invalid variable object passed")
new_obj = Symbolic.Var('0', obj.name, domain=obj.domain,
specType='RHSfuncSpec')
self.trans_gen.modelspec.remove(obj)
self.trans_gen.modelspec.add(new_obj, parent_name)
self.changelog.append(common.args(action='makeStaticVar',
target=obj.name))
|
[
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"makeStaticVar",
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"self",
",",
"obj_name",
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"obj",
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"trans_gen",
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",",
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"name",
")",
")"
] |
https://github.com/robclewley/pydstool/blob/939e3abc9dd1f180d35152bacbde57e24c85ff26/PyDSTool/ModelTools.py#L2337-L2355
|
||
holzschu/Carnets
|
44effb10ddfc6aa5c8b0687582a724ba82c6b547
|
Library/lib/python3.7/site-packages/networkx/readwrite/nx_shp.py
|
python
|
edges_from_line
|
(geom, attrs, simplify=True, geom_attrs=True)
|
Generate edges for each line in geom
Written as a helper for read_shp
Parameters
----------
geom: ogr line geometry
To be converted into an edge or edges
attrs: dict
Attributes to be associated with all geoms
simplify: bool
If True, simplify the line as in read_shp
geom_attrs: bool
If True, add geom attributes to edge as in read_shp
Returns
-------
edges: generator of edges
each edge is a tuple of form
(node1_coord, node2_coord, attribute_dict)
suitable for expanding into a networkx Graph add_edge call
|
Generate edges for each line in geom
Written as a helper for read_shp
|
[
"Generate",
"edges",
"for",
"each",
"line",
"in",
"geom",
"Written",
"as",
"a",
"helper",
"for",
"read_shp"
] |
def edges_from_line(geom, attrs, simplify=True, geom_attrs=True):
"""
Generate edges for each line in geom
Written as a helper for read_shp
Parameters
----------
geom: ogr line geometry
To be converted into an edge or edges
attrs: dict
Attributes to be associated with all geoms
simplify: bool
If True, simplify the line as in read_shp
geom_attrs: bool
If True, add geom attributes to edge as in read_shp
Returns
-------
edges: generator of edges
each edge is a tuple of form
(node1_coord, node2_coord, attribute_dict)
suitable for expanding into a networkx Graph add_edge call
"""
try:
from osgeo import ogr
except ImportError:
raise ImportError("edges_from_line requires OGR: http://www.gdal.org/")
if geom.GetGeometryType() == ogr.wkbLineString:
if simplify:
edge_attrs = attrs.copy()
last = geom.GetPointCount() - 1
if geom_attrs:
edge_attrs["Wkb"] = geom.ExportToWkb()
edge_attrs["Wkt"] = geom.ExportToWkt()
edge_attrs["Json"] = geom.ExportToJson()
yield (geom.GetPoint_2D(0), geom.GetPoint_2D(last), edge_attrs)
else:
for i in range(0, geom.GetPointCount() - 1):
pt1 = geom.GetPoint_2D(i)
pt2 = geom.GetPoint_2D(i + 1)
edge_attrs = attrs.copy()
if geom_attrs:
segment = ogr.Geometry(ogr.wkbLineString)
segment.AddPoint_2D(pt1[0], pt1[1])
segment.AddPoint_2D(pt2[0], pt2[1])
edge_attrs["Wkb"] = segment.ExportToWkb()
edge_attrs["Wkt"] = segment.ExportToWkt()
edge_attrs["Json"] = segment.ExportToJson()
del segment
yield (pt1, pt2, edge_attrs)
elif geom.GetGeometryType() == ogr.wkbMultiLineString:
for i in range(geom.GetGeometryCount()):
geom_i = geom.GetGeometryRef(i)
for edge in edges_from_line(geom_i, attrs, simplify, geom_attrs):
yield edge
|
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"geom_i",
",",
"attrs",
",",
"simplify",
",",
"geom_attrs",
")",
":",
"yield",
"edge"
] |
https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/networkx/readwrite/nx_shp.py#L127-L188
|
||
tortoise/tortoise-orm
|
5bf910a3dcd1e729106b7f0dee16aae362d35f46
|
tortoise/backends/base/client.py
|
python
|
BaseDBAsyncClient.db_delete
|
(self)
|
Delete the database from the Server. Typically only called by the test runner.
Need to have called ``create_connection()``` with parameter ``with_db=False`` set to
use the default connection instead of the configured one, else you would get errors
indicating the database is in use.
|
Delete the database from the Server. Typically only called by the test runner.
|
[
"Delete",
"the",
"database",
"from",
"the",
"Server",
".",
"Typically",
"only",
"called",
"by",
"the",
"test",
"runner",
"."
] |
async def db_delete(self) -> None:
"""
Delete the database from the Server. Typically only called by the test runner.
Need to have called ``create_connection()``` with parameter ``with_db=False`` set to
use the default connection instead of the configured one, else you would get errors
indicating the database is in use.
"""
raise NotImplementedError()
|
[
"async",
"def",
"db_delete",
"(",
"self",
")",
"->",
"None",
":",
"raise",
"NotImplementedError",
"(",
")"
] |
https://github.com/tortoise/tortoise-orm/blob/5bf910a3dcd1e729106b7f0dee16aae362d35f46/tortoise/backends/base/client.py#L134-L142
|
||
zhl2008/awd-platform
|
0416b31abea29743387b10b3914581fbe8e7da5e
|
web_hxb2/lib/python3.5/site-packages/wagtail/contrib/postgres_search/backend.py
|
python
|
PostgresSearchBackend.add_bulk
|
(self, model, obj_list)
|
[] |
def add_bulk(self, model, obj_list):
if obj_list:
self.get_index_for_object(obj_list[0]).add_items(model, obj_list)
|
[
"def",
"add_bulk",
"(",
"self",
",",
"model",
",",
"obj_list",
")",
":",
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"obj_list",
"[",
"0",
"]",
")",
".",
"add_items",
"(",
"model",
",",
"obj_list",
")"
] |
https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/wagtail/contrib/postgres_search/backend.py#L366-L368
|
||||
cleverhans-lab/cleverhans
|
e5d00e537ce7ad6119ed5a8db1f0e9736d1f6e1d
|
cleverhans_v3.1.0/examples/nips17_adversarial_competition/eval_infra/code/eval_lib/image_batches.py
|
python
|
ImageBatchesBase.init_from_datastore
|
(self)
|
Initializes batches by reading from the datastore.
|
Initializes batches by reading from the datastore.
|
[
"Initializes",
"batches",
"by",
"reading",
"from",
"the",
"datastore",
"."
] |
def init_from_datastore(self):
"""Initializes batches by reading from the datastore."""
self._data = {}
for entity in self._datastore_client.query_fetch(
kind=self._entity_kind_batches
):
batch_id = entity.key.flat_path[-1]
self._data[batch_id] = dict(entity)
self._data[batch_id]["images"] = {}
for entity in self._datastore_client.query_fetch(kind=self._entity_kind_images):
batch_id = entity.key.flat_path[-3]
image_id = entity.key.flat_path[-1]
self._data[batch_id]["images"][image_id] = dict(entity)
|
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"[",
"\"images\"",
"]",
"[",
"image_id",
"]",
"=",
"dict",
"(",
"entity",
")"
] |
https://github.com/cleverhans-lab/cleverhans/blob/e5d00e537ce7ad6119ed5a8db1f0e9736d1f6e1d/cleverhans_v3.1.0/examples/nips17_adversarial_competition/eval_infra/code/eval_lib/image_batches.py#L103-L115
|
||
LabPy/lantz
|
3e878e3f765a4295b0089d04e241d4beb7b8a65b
|
lantz/drivers/legacy/labjack/_internal/u12.py
|
python
|
getErrorString
|
(errorcode)
|
return errorString.value
|
Name: U12.getErrorString(errorcode)
Args: See section 4.19 of the User's Guide
Desc: Converts a LabJack errorcode, returned by another function, into a string describing the error. No hardware communication is involved.
>>> dev = U12()
>>> dev.getErrorString(1)
>>> Unkown error
|
Name: U12.getErrorString(errorcode)
Args: See section 4.19 of the User's Guide
Desc: Converts a LabJack errorcode, returned by another function, into a string describing the error. No hardware communication is involved.
|
[
"Name",
":",
"U12",
".",
"getErrorString",
"(",
"errorcode",
")",
"Args",
":",
"See",
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"describing",
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".",
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"hardware",
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"involved",
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] |
def getErrorString(errorcode):
"""
Name: U12.getErrorString(errorcode)
Args: See section 4.19 of the User's Guide
Desc: Converts a LabJack errorcode, returned by another function, into a string describing the error. No hardware communication is involved.
>>> dev = U12()
>>> dev.getErrorString(1)
>>> Unkown error
"""
errorString = ctypes.c_char_p(" "*50)
staticLib.GetErrorString(errorcode, errorString)
return errorString.value
|
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"def",
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"(",
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",",
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] |
https://github.com/LabPy/lantz/blob/3e878e3f765a4295b0089d04e241d4beb7b8a65b/lantz/drivers/legacy/labjack/_internal/u12.py#L2961-L2973
|
|
TengXiaoDai/DistributedCrawling
|
f5c2439e6ce68dd9b49bde084d76473ff9ed4963
|
Lib/site-packages/pip/_vendor/requests/cookies.py
|
python
|
RequestsCookieJar.items
|
(self)
|
return list(self.iteritems())
|
Dict-like items() that returns a list of name-value tuples from the
jar. Allows client-code to call ``dict(RequestsCookieJar)`` and get a
vanilla python dict of key value pairs.
.. seealso:: keys() and values().
|
Dict-like items() that returns a list of name-value tuples from the
jar. Allows client-code to call ``dict(RequestsCookieJar)`` and get a
vanilla python dict of key value pairs.
|
[
"Dict",
"-",
"like",
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"that",
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"list",
"of",
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"python",
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"value",
"pairs",
"."
] |
def items(self):
"""Dict-like items() that returns a list of name-value tuples from the
jar. Allows client-code to call ``dict(RequestsCookieJar)`` and get a
vanilla python dict of key value pairs.
.. seealso:: keys() and values().
"""
return list(self.iteritems())
|
[
"def",
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"(",
"self",
")",
":",
"return",
"list",
"(",
"self",
".",
"iteritems",
"(",
")",
")"
] |
https://github.com/TengXiaoDai/DistributedCrawling/blob/f5c2439e6ce68dd9b49bde084d76473ff9ed4963/Lib/site-packages/pip/_vendor/requests/cookies.py#L262-L269
|
|
openhatch/oh-mainline
|
ce29352a034e1223141dcc2f317030bbc3359a51
|
vendor/packages/docutils/docutils/utils/math/math2html.py
|
python
|
MacroFunction.parsenumbers
|
(self, pos, remaining)
|
return None
|
Parse the remaining parameters as a running number.
|
Parse the remaining parameters as a running number.
|
[
"Parse",
"the",
"remaining",
"parameters",
"as",
"a",
"running",
"number",
"."
] |
def parsenumbers(self, pos, remaining):
"Parse the remaining parameters as a running number."
"For example, 12 would be {1}{2}."
number = self.factory.parsetype(FormulaNumber, pos)
if not len(number.original) == remaining:
return number
for digit in number.original:
value = self.factory.create(FormulaNumber)
value.add(FormulaConstant(digit))
value.type = number
self.values.append(value)
return None
|
[
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] |
https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/docutils/docutils/utils/math/math2html.py#L5176-L5187
|
|
huggingface/transformers
|
623b4f7c63f60cce917677ee704d6c93ee960b4b
|
examples/legacy/seq2seq/save_len_file.py
|
python
|
save_len_file
|
(
tokenizer_name, data_dir, max_source_length=1024, max_target_length=1024, consider_target=False, **kwargs
)
|
Save max(src_len, tgt_len) for each example to allow dynamic batching.
|
Save max(src_len, tgt_len) for each example to allow dynamic batching.
|
[
"Save",
"max",
"(",
"src_len",
"tgt_len",
")",
"for",
"each",
"example",
"to",
"allow",
"dynamic",
"batching",
"."
] |
def save_len_file(
tokenizer_name, data_dir, max_source_length=1024, max_target_length=1024, consider_target=False, **kwargs
):
"""Save max(src_len, tgt_len) for each example to allow dynamic batching."""
tok = AutoTokenizer.from_pretrained(tokenizer_name)
train_ds = Seq2SeqDataset(tok, data_dir, max_source_length, max_target_length, type_path="train", **kwargs)
pad = tok.pad_token_id
def get_lens(ds):
dl = tqdm(
DataLoader(ds, batch_size=512, num_workers=8, shuffle=False, collate_fn=ds.collate_fn),
desc=str(ds.len_file),
)
max_lens = []
for batch in dl:
src_lens = batch["input_ids"].ne(pad).sum(1).tolist()
tgt_lens = batch["labels"].ne(pad).sum(1).tolist()
if consider_target:
for src, tgt in zip(src_lens, tgt_lens):
max_lens.append(max(src, tgt))
else:
max_lens.extend(src_lens)
return max_lens
train_lens = get_lens(train_ds)
val_ds = Seq2SeqDataset(tok, data_dir, max_source_length, max_target_length, type_path="val", **kwargs)
val_lens = get_lens(val_ds)
pickle_save(train_lens, train_ds.len_file)
pickle_save(val_lens, val_ds.len_file)
|
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"sum",
"(",
"1",
")",
".",
"tolist",
"(",
")",
"tgt_lens",
"=",
"batch",
"[",
"\"labels\"",
"]",
".",
"ne",
"(",
"pad",
")",
".",
"sum",
"(",
"1",
")",
".",
"tolist",
"(",
")",
"if",
"consider_target",
":",
"for",
"src",
",",
"tgt",
"in",
"zip",
"(",
"src_lens",
",",
"tgt_lens",
")",
":",
"max_lens",
".",
"append",
"(",
"max",
"(",
"src",
",",
"tgt",
")",
")",
"else",
":",
"max_lens",
".",
"extend",
"(",
"src_lens",
")",
"return",
"max_lens",
"train_lens",
"=",
"get_lens",
"(",
"train_ds",
")",
"val_ds",
"=",
"Seq2SeqDataset",
"(",
"tok",
",",
"data_dir",
",",
"max_source_length",
",",
"max_target_length",
",",
"type_path",
"=",
"\"val\"",
",",
"*",
"*",
"kwargs",
")",
"val_lens",
"=",
"get_lens",
"(",
"val_ds",
")",
"pickle_save",
"(",
"train_lens",
",",
"train_ds",
".",
"len_file",
")",
"pickle_save",
"(",
"val_lens",
",",
"val_ds",
".",
"len_file",
")"
] |
https://github.com/huggingface/transformers/blob/623b4f7c63f60cce917677ee704d6c93ee960b4b/examples/legacy/seq2seq/save_len_file.py#L24-L52
|
||
ChineseGLUE/ChineseGLUE
|
1591b85cf5427c2ff60f718d359ecb71d2b44879
|
baselines/models_pytorch/classifier_pytorch/transformers/tokenization_bert.py
|
python
|
BertTokenizer._convert_id_to_token
|
(self, index)
|
return self.ids_to_tokens.get(index, self.unk_token)
|
Converts an index (integer) in a token (string/unicode) using the vocab.
|
Converts an index (integer) in a token (string/unicode) using the vocab.
|
[
"Converts",
"an",
"index",
"(",
"integer",
")",
"in",
"a",
"token",
"(",
"string",
"/",
"unicode",
")",
"using",
"the",
"vocab",
"."
] |
def _convert_id_to_token(self, index):
"""Converts an index (integer) in a token (string/unicode) using the vocab."""
return self.ids_to_tokens.get(index, self.unk_token)
|
[
"def",
"_convert_id_to_token",
"(",
"self",
",",
"index",
")",
":",
"return",
"self",
".",
"ids_to_tokens",
".",
"get",
"(",
"index",
",",
"self",
".",
"unk_token",
")"
] |
https://github.com/ChineseGLUE/ChineseGLUE/blob/1591b85cf5427c2ff60f718d359ecb71d2b44879/baselines/models_pytorch/classifier_pytorch/transformers/tokenization_bert.py#L187-L189
|
|
TabbycatDebate/tabbycat
|
7cc3b2fa1cc34569501a4be10fe9234b98c65df3
|
tabbycat/api/views.py
|
python
|
BreakingTeamsView.list
|
(self, request, *args, **kwargs)
|
return Response(serializer.data)
|
Pagination might be dangerous here, so disabled.
|
Pagination might be dangerous here, so disabled.
|
[
"Pagination",
"might",
"be",
"dangerous",
"here",
"so",
"disabled",
"."
] |
def list(self, request, *args, **kwargs):
"""Pagination might be dangerous here, so disabled."""
queryset = self.filter_queryset(self.get_queryset())
serializer = self.get_serializer(queryset, many=True)
return Response(serializer.data)
|
[
"def",
"list",
"(",
"self",
",",
"request",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
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"get_serializer",
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",",
"many",
"=",
"True",
")",
"return",
"Response",
"(",
"serializer",
".",
"data",
")"
] |
https://github.com/TabbycatDebate/tabbycat/blob/7cc3b2fa1cc34569501a4be10fe9234b98c65df3/tabbycat/api/views.py#L157-L161
|
|
AutodeskRoboticsLab/Mimic
|
85447f0d346be66988303a6a054473d92f1ed6f4
|
mimic/scripts/extern/pyqtgraph_0_11_0/pyqtgraph/parametertree/ParameterItem.py
|
python
|
ParameterItem.columnChangedEvent
|
(self, col)
|
Called when the text in a column has been edited (or otherwise changed).
By default, we only use changes to column 0 to rename the parameter.
|
Called when the text in a column has been edited (or otherwise changed).
By default, we only use changes to column 0 to rename the parameter.
|
[
"Called",
"when",
"the",
"text",
"in",
"a",
"column",
"has",
"been",
"edited",
"(",
"or",
"otherwise",
"changed",
")",
".",
"By",
"default",
"we",
"only",
"use",
"changes",
"to",
"column",
"0",
"to",
"rename",
"the",
"parameter",
"."
] |
def columnChangedEvent(self, col):
"""Called when the text in a column has been edited (or otherwise changed).
By default, we only use changes to column 0 to rename the parameter.
"""
if col == 0 and (self.param.opts.get('title', None) is None):
if self.ignoreNameColumnChange:
return
try:
newName = self.param.setName(asUnicode(self.text(col)))
except Exception:
self.setText(0, self.param.name())
raise
try:
self.ignoreNameColumnChange = True
self.nameChanged(self, newName) ## If the parameter rejects the name change, we need to set it back.
finally:
self.ignoreNameColumnChange = False
|
[
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":",
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")",
"## If the parameter rejects the name change, we need to set it back.",
"finally",
":",
"self",
".",
"ignoreNameColumnChange",
"=",
"False"
] |
https://github.com/AutodeskRoboticsLab/Mimic/blob/85447f0d346be66988303a6a054473d92f1ed6f4/mimic/scripts/extern/pyqtgraph_0_11_0/pyqtgraph/parametertree/ParameterItem.py#L134-L151
|
||
mozilla/TTS
|
e9e07844b77a43fb0864354791fb4cf72ffded11
|
TTS/tts/utils/text/cleaners.py
|
python
|
basic_turkish_cleaners
|
(text)
|
return text
|
Pipeline for Turkish text
|
Pipeline for Turkish text
|
[
"Pipeline",
"for",
"Turkish",
"text"
] |
def basic_turkish_cleaners(text):
'''Pipeline for Turkish text'''
text = text.replace("I", "ı")
text = lowercase(text)
text = collapse_whitespace(text)
return text
|
[
"def",
"basic_turkish_cleaners",
"(",
"text",
")",
":",
"text",
"=",
"text",
".",
"replace",
"(",
"\"I\"",
",",
"\"ı\")",
"",
"text",
"=",
"lowercase",
"(",
"text",
")",
"text",
"=",
"collapse_whitespace",
"(",
"text",
")",
"return",
"text"
] |
https://github.com/mozilla/TTS/blob/e9e07844b77a43fb0864354791fb4cf72ffded11/TTS/tts/utils/text/cleaners.py#L88-L93
|
|
pinterest/mysql_utils
|
7ab237699b85de8b503b09f36e0309ac807689fe
|
lib/host_utils.py
|
python
|
get_user
|
()
|
return username
|
Return the username of the caller, or unknown if we can't
figure it out (should never happen)
|
Return the username of the caller, or unknown if we can't
figure it out (should never happen)
|
[
"Return",
"the",
"username",
"of",
"the",
"caller",
"or",
"unknown",
"if",
"we",
"can",
"t",
"figure",
"it",
"out",
"(",
"should",
"never",
"happen",
")"
] |
def get_user():
""" Return the username of the caller, or unknown if we can't
figure it out (should never happen)
"""
try:
username = getpass.getuser()
except:
log.warning("Can't determine caller's username. Setting to unknown.")
username = 'unknown'
return username
|
[
"def",
"get_user",
"(",
")",
":",
"try",
":",
"username",
"=",
"getpass",
".",
"getuser",
"(",
")",
"except",
":",
"log",
".",
"warning",
"(",
"\"Can't determine caller's username. Setting to unknown.\"",
")",
"username",
"=",
"'unknown'",
"return",
"username"
] |
https://github.com/pinterest/mysql_utils/blob/7ab237699b85de8b503b09f36e0309ac807689fe/lib/host_utils.py#L119-L129
|
|
TengXiaoDai/DistributedCrawling
|
f5c2439e6ce68dd9b49bde084d76473ff9ed4963
|
Lib/site-packages/wheel/bdist_wheel.py
|
python
|
bdist_wheel.license_file
|
(self)
|
return metadata['license_file'][1]
|
Return license filename from a license-file key in setup.cfg, or None.
|
Return license filename from a license-file key in setup.cfg, or None.
|
[
"Return",
"license",
"filename",
"from",
"a",
"license",
"-",
"file",
"key",
"in",
"setup",
".",
"cfg",
"or",
"None",
"."
] |
def license_file(self):
"""Return license filename from a license-file key in setup.cfg, or None."""
metadata = self.distribution.get_option_dict('metadata')
if not 'license_file' in metadata:
return None
return metadata['license_file'][1]
|
[
"def",
"license_file",
"(",
"self",
")",
":",
"metadata",
"=",
"self",
".",
"distribution",
".",
"get_option_dict",
"(",
"'metadata'",
")",
"if",
"not",
"'license_file'",
"in",
"metadata",
":",
"return",
"None",
"return",
"metadata",
"[",
"'license_file'",
"]",
"[",
"1",
"]"
] |
https://github.com/TengXiaoDai/DistributedCrawling/blob/f5c2439e6ce68dd9b49bde084d76473ff9ed4963/Lib/site-packages/wheel/bdist_wheel.py#L286-L291
|
|
emesene/emesene
|
4548a4098310e21b16437bb36223a7f632a4f7bc
|
emesene/e3/webqq/Worker.py
|
python
|
Worker.run
|
(self)
|
main method, block waiting for data, process it, and send data back
|
main method, block waiting for data, process it, and send data back
|
[
"main",
"method",
"block",
"waiting",
"for",
"data",
"process",
"it",
"and",
"send",
"data",
"back"
] |
def run(self):
'''main method, block waiting for data, process it, and send data back
'''
call_back_dict = { 512 : self._on_message, 513 : self._on_group_message,
515 : self._on_photo_update , 516 : self._on_status_change,
517 : self._on_nick_update , 518 : self._on_shake_message}
while self._continue :
try:
event_queue = self.res_manager.event_queue
if not event_queue.empty() :
self.res_manager.lock()
while not event_queue.empty():
item = event_queue.pop()
try:
call_back_dict[item[0]](item[1])
except KeyError , e:
log.error('Un implemented callback function')
self.res_manager.ulock()
action = self.session.actions.get(True, 0.1)
self._process_action(action)
except Queue.Empty:
pass
|
[
"def",
"run",
"(",
"self",
")",
":",
"call_back_dict",
"=",
"{",
"512",
":",
"self",
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"_on_message",
",",
"513",
":",
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".",
"_on_group_message",
",",
"515",
":",
"self",
".",
"_on_photo_update",
",",
"516",
":",
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"_on_status_change",
",",
"517",
":",
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",",
"518",
":",
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"_on_shake_message",
"}",
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"res_manager",
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"empty",
"(",
")",
":",
"item",
"=",
"event_queue",
".",
"pop",
"(",
")",
"try",
":",
"call_back_dict",
"[",
"item",
"[",
"0",
"]",
"]",
"(",
"item",
"[",
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"]",
")",
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"KeyError",
",",
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":",
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"error",
"(",
"'Un implemented callback function'",
")",
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".",
"ulock",
"(",
")",
"action",
"=",
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".",
"session",
".",
"actions",
".",
"get",
"(",
"True",
",",
"0.1",
")",
"self",
".",
"_process_action",
"(",
"action",
")",
"except",
"Queue",
".",
"Empty",
":",
"pass"
] |
https://github.com/emesene/emesene/blob/4548a4098310e21b16437bb36223a7f632a4f7bc/emesene/e3/webqq/Worker.py#L74-L100
|
||
aliyun/aliyun-oss-python-sdk
|
5f2afa0928a58c7c1cc6317ac147f3637481f6fd
|
oss2/http.py
|
python
|
_convert_request_body
|
(data)
|
return data
|
[] |
def _convert_request_body(data):
data = to_bytes(data)
if hasattr(data, '__len__'):
return data
if hasattr(data, 'seek') and hasattr(data, 'tell'):
return SizedFileAdapter(data, file_object_remaining_bytes(data))
return data
|
[
"def",
"_convert_request_body",
"(",
"data",
")",
":",
"data",
"=",
"to_bytes",
"(",
"data",
")",
"if",
"hasattr",
"(",
"data",
",",
"'__len__'",
")",
":",
"return",
"data",
"if",
"hasattr",
"(",
"data",
",",
"'seek'",
")",
"and",
"hasattr",
"(",
"data",
",",
"'tell'",
")",
":",
"return",
"SizedFileAdapter",
"(",
"data",
",",
"file_object_remaining_bytes",
"(",
"data",
")",
")",
"return",
"data"
] |
https://github.com/aliyun/aliyun-oss-python-sdk/blob/5f2afa0928a58c7c1cc6317ac147f3637481f6fd/oss2/http.py#L138-L147
|
|||
sagemath/sage
|
f9b2db94f675ff16963ccdefba4f1a3393b3fe0d
|
src/sage/structure/set_factories.py
|
python
|
FacadeParentPolicy.__init__
|
(self, factory, parent)
|
r"""
TESTS::
sage: from sage.structure.set_factories import FacadeParentPolicy
sage: from sage.structure.set_factories_example import XYPairs, XYPair
sage: F = FacadeParentPolicy(XYPairs, XYPairs()); F
Set factory policy for facade parent AllPairs
sage: TestSuite(F).run(skip='_test_category')
|
r"""
TESTS::
|
[
"r",
"TESTS",
"::"
] |
def __init__(self, factory, parent):
r"""
TESTS::
sage: from sage.structure.set_factories import FacadeParentPolicy
sage: from sage.structure.set_factories_example import XYPairs, XYPair
sage: F = FacadeParentPolicy(XYPairs, XYPairs()); F
Set factory policy for facade parent AllPairs
sage: TestSuite(F).run(skip='_test_category')
"""
self._parent_for = parent
SetFactoryPolicy.__init__(self, factory)
|
[
"def",
"__init__",
"(",
"self",
",",
"factory",
",",
"parent",
")",
":",
"self",
".",
"_parent_for",
"=",
"parent",
"SetFactoryPolicy",
".",
"__init__",
"(",
"self",
",",
"factory",
")"
] |
https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/structure/set_factories.py#L743-L754
|
||
KalleHallden/AutoTimer
|
2d954216700c4930baa154e28dbddc34609af7ce
|
env/lib/python2.7/site-packages/pip/_vendor/distlib/database.py
|
python
|
Distribution.test_requires
|
(self)
|
return self._get_requirements('test_requires')
|
[] |
def test_requires(self):
return self._get_requirements('test_requires')
|
[
"def",
"test_requires",
"(",
"self",
")",
":",
"return",
"self",
".",
"_get_requirements",
"(",
"'test_requires'",
")"
] |
https://github.com/KalleHallden/AutoTimer/blob/2d954216700c4930baa154e28dbddc34609af7ce/env/lib/python2.7/site-packages/pip/_vendor/distlib/database.py#L400-L401
|
|||
AstroPrint/AstroBox
|
e7e3b8a7d33ea85fcb6b2696869c0d719ceb8b75
|
src/astroprint/plugin/__init__.py
|
python
|
Plugin.version
|
(self)
|
return self._definition['version']
|
[] |
def version(self):
return self._definition['version']
|
[
"def",
"version",
"(",
"self",
")",
":",
"return",
"self",
".",
"_definition",
"[",
"'version'",
"]"
] |
https://github.com/AstroPrint/AstroBox/blob/e7e3b8a7d33ea85fcb6b2696869c0d719ceb8b75/src/astroprint/plugin/__init__.py#L81-L82
|
|||
cloudera/hue
|
23f02102d4547c17c32bd5ea0eb24e9eadd657a4
|
desktop/core/ext-py/djangorestframework-3.9.4/rest_framework/views.py
|
python
|
APIView.determine_version
|
(self, request, *args, **kwargs)
|
return (scheme.determine_version(request, *args, **kwargs), scheme)
|
If versioning is being used, then determine any API version for the
incoming request. Returns a two-tuple of (version, versioning_scheme)
|
If versioning is being used, then determine any API version for the
incoming request. Returns a two-tuple of (version, versioning_scheme)
|
[
"If",
"versioning",
"is",
"being",
"used",
"then",
"determine",
"any",
"API",
"version",
"for",
"the",
"incoming",
"request",
".",
"Returns",
"a",
"two",
"-",
"tuple",
"of",
"(",
"version",
"versioning_scheme",
")"
] |
def determine_version(self, request, *args, **kwargs):
"""
If versioning is being used, then determine any API version for the
incoming request. Returns a two-tuple of (version, versioning_scheme)
"""
if self.versioning_class is None:
return (None, None)
scheme = self.versioning_class()
return (scheme.determine_version(request, *args, **kwargs), scheme)
|
[
"def",
"determine_version",
"(",
"self",
",",
"request",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"self",
".",
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"None",
":",
"return",
"(",
"None",
",",
"None",
")",
"scheme",
"=",
"self",
".",
"versioning_class",
"(",
")",
"return",
"(",
"scheme",
".",
"determine_version",
"(",
"request",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
",",
"scheme",
")"
] |
https://github.com/cloudera/hue/blob/23f02102d4547c17c32bd5ea0eb24e9eadd657a4/desktop/core/ext-py/djangorestframework-3.9.4/rest_framework/views.py#L359-L367
|
|
craffel/mir_eval
|
576aad4e0b5931e7c697c078a1153c99b885c64f
|
mir_eval/io.py
|
python
|
load_labeled_events
|
(filename, delimiter=r'\s+', comment='#')
|
return events, labels
|
r"""Import labeled time-stamp events from an annotation file. The file should
consist of two columns; the first having numeric values corresponding to
the event times and the second having string labels for each event. This
is primarily useful for processing labeled events which lack duration, such
as beats with metric beat number or onsets with an instrument label.
Parameters
----------
filename : str
Path to the annotation file
delimiter : str
Separator regular expression.
By default, lines will be split by any amount of whitespace.
comment : str or None
Comment regular expression.
Any lines beginning with this string or pattern will be ignored.
Setting to `None` disables comments.
Returns
-------
event_times : np.ndarray
array of event times (float)
labels : list of str
list of labels
|
r"""Import labeled time-stamp events from an annotation file. The file should
consist of two columns; the first having numeric values corresponding to
the event times and the second having string labels for each event. This
is primarily useful for processing labeled events which lack duration, such
as beats with metric beat number or onsets with an instrument label.
|
[
"r",
"Import",
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"metric",
"beat",
"number",
"or",
"onsets",
"with",
"an",
"instrument",
"label",
"."
] |
def load_labeled_events(filename, delimiter=r'\s+', comment='#'):
r"""Import labeled time-stamp events from an annotation file. The file should
consist of two columns; the first having numeric values corresponding to
the event times and the second having string labels for each event. This
is primarily useful for processing labeled events which lack duration, such
as beats with metric beat number or onsets with an instrument label.
Parameters
----------
filename : str
Path to the annotation file
delimiter : str
Separator regular expression.
By default, lines will be split by any amount of whitespace.
comment : str or None
Comment regular expression.
Any lines beginning with this string or pattern will be ignored.
Setting to `None` disables comments.
Returns
-------
event_times : np.ndarray
array of event times (float)
labels : list of str
list of labels
"""
# Use our universal function to load in the events
events, labels = load_delimited(filename, [float, str],
delimiter=delimiter,
comment=comment)
events = np.array(events)
# Validate them, but throw a warning in place of an error
try:
util.validate_events(events)
except ValueError as error:
warnings.warn(error.args[0])
return events, labels
|
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https://github.com/craffel/mir_eval/blob/576aad4e0b5931e7c697c078a1153c99b885c64f/mir_eval/io.py#L161-L200
|
|
pymeasure/pymeasure
|
b4d888e9ead85ef7f7af0031f2dbb44c9ce1825e
|
pymeasure/instruments/keithley/keithley2700.py
|
python
|
Keithley2700.reset
|
(self)
|
Resets the instrument and clears the queue.
|
Resets the instrument and clears the queue.
|
[
"Resets",
"the",
"instrument",
"and",
"clears",
"the",
"queue",
"."
] |
def reset(self):
""" Resets the instrument and clears the queue. """
self.write("status:queue:clear;*RST;:stat:pres;:*CLS;")
|
[
"def",
"reset",
"(",
"self",
")",
":",
"self",
".",
"write",
"(",
"\"status:queue:clear;*RST;:stat:pres;:*CLS;\"",
")"
] |
https://github.com/pymeasure/pymeasure/blob/b4d888e9ead85ef7f7af0031f2dbb44c9ce1825e/pymeasure/instruments/keithley/keithley2700.py#L303-L305
|
||
localstack/localstack
|
ec8b72d5c926ae8495ca50ce168494247aef54be
|
localstack/services/logs/logs_listener.py
|
python
|
get_pattern_matcher
|
(pattern: str)
|
return lambda _pattern, _log_event: True
|
Returns a pattern matcher. Can be patched by plugins to return a more sophisticated pattern matcher.
|
Returns a pattern matcher. Can be patched by plugins to return a more sophisticated pattern matcher.
|
[
"Returns",
"a",
"pattern",
"matcher",
".",
"Can",
"be",
"patched",
"by",
"plugins",
"to",
"return",
"a",
"more",
"sophisticated",
"pattern",
"matcher",
"."
] |
def get_pattern_matcher(pattern: str) -> Callable[[str, Dict], bool]:
"""Returns a pattern matcher. Can be patched by plugins to return a more sophisticated pattern matcher."""
return lambda _pattern, _log_event: True
|
[
"def",
"get_pattern_matcher",
"(",
"pattern",
":",
"str",
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"[",
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https://github.com/localstack/localstack/blob/ec8b72d5c926ae8495ca50ce168494247aef54be/localstack/services/logs/logs_listener.py#L96-L98
|
|
sahana/eden
|
1696fa50e90ce967df69f66b571af45356cc18da
|
controllers/supply.py
|
python
|
catalog
|
()
|
return s3_rest_controller(rheader = supply_catalog_rheader)
|
RESTful CRUD controller
|
RESTful CRUD controller
|
[
"RESTful",
"CRUD",
"controller"
] |
def catalog():
""" RESTful CRUD controller """
from s3db.supply import supply_catalog_rheader
return s3_rest_controller(rheader = supply_catalog_rheader)
|
[
"def",
"catalog",
"(",
")",
":",
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"import",
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"return",
"s3_rest_controller",
"(",
"rheader",
"=",
"supply_catalog_rheader",
")"
] |
https://github.com/sahana/eden/blob/1696fa50e90ce967df69f66b571af45356cc18da/controllers/supply.py#L24-L28
|
|
0vercl0k/stuffz
|
2ff82f4739d7e215c6140d4987efa8310db39d55
|
transmissionrpc.py
|
python
|
Session.from_request
|
(self, data)
|
Update the session information.
|
Update the session information.
|
[
"Update",
"the",
"session",
"information",
"."
] |
def from_request(self, data):
"""Update the session information."""
self._update_fields(data)
|
[
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"(",
"self",
",",
"data",
")",
":",
"self",
".",
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"(",
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|
||
implus/PytorchInsight
|
2864528f8b83f52c3df76f7c3804aa468b91e5cf
|
detection/mmdet/ops/nms/setup.py
|
python
|
custom_build_ext.build_extensions
|
(self)
|
[] |
def build_extensions(self):
customize_compiler_for_nvcc(self.compiler)
build_ext.build_extensions(self)
|
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")",
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".",
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"(",
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")"
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https://github.com/implus/PytorchInsight/blob/2864528f8b83f52c3df76f7c3804aa468b91e5cf/detection/mmdet/ops/nms/setup.py#L65-L67
|
||||
plkmo/BERT-Relation-Extraction
|
06075620fccb044785f5fd319e8d06df9af15b50
|
src/model/BERT/tokenization_bert.py
|
python
|
BasicTokenizer._tokenize_chinese_chars
|
(self, text)
|
return "".join(output)
|
Adds whitespace around any CJK character.
|
Adds whitespace around any CJK character.
|
[
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"whitespace",
"around",
"any",
"CJK",
"character",
"."
] |
def _tokenize_chinese_chars(self, text):
"""Adds whitespace around any CJK character."""
output = []
for char in text:
cp = ord(char)
if self._is_chinese_char(cp):
output.append(" ")
output.append(char)
output.append(" ")
else:
output.append(char)
return "".join(output)
|
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https://github.com/plkmo/BERT-Relation-Extraction/blob/06075620fccb044785f5fd319e8d06df9af15b50/src/model/BERT/tokenization_bert.py#L356-L367
|
|
IBM/lale
|
b4d6829c143a4735b06083a0e6c70d2cca244162
|
lale/operators.py
|
python
|
BasePipeline._indices_to_preds
|
(
cls, _steps: List[OpType], _pred_indices: Dict[int, List[int]]
)
|
return {
_steps[k]: ([_steps[v] for v in vs]) for (k, vs) in _pred_indices.items()
}
|
[] |
def _indices_to_preds(
cls, _steps: List[OpType], _pred_indices: Dict[int, List[int]]
) -> Dict[OpType, List[OpType]]:
return {
_steps[k]: ([_steps[v] for v in vs]) for (k, vs) in _pred_indices.items()
}
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https://github.com/IBM/lale/blob/b4d6829c143a4735b06083a0e6c70d2cca244162/lale/operators.py#L3461-L3466
|
|||
enthought/mayavi
|
2103a273568b8f0bd62328801aafbd6252543ae8
|
tvtk/pyface/scene_model.py
|
python
|
SceneModel._get_light_manager
|
(self)
|
return None
|
Getter for the light manager.
|
Getter for the light manager.
|
[
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"."
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def _get_light_manager(self):
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se = self.scene_editor
if se is not None:
return se.light_manager
return None
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|
|
tp4a/teleport
|
1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad
|
server/www/packages/packages-windows/x86/idna/uts46data.py
|
python
|
_seg_71
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https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-windows/x86/idna/uts46data.py#L7392-L7494
|
|||
ricequant/rqalpha-mod-ctp
|
bfd40801f9a182226a911cac74660f62993eb6db
|
rqalpha_mod_ctp/ctp/pyctp/linux64_35/__init__.py
|
python
|
MdApi.OnRspUserLogout
|
(self, pUserLogout, pRspInfo, nRequestID, bIsLast)
|
登出请求响应
|
登出请求响应
|
[
"登出请求响应"
] |
def OnRspUserLogout(self, pUserLogout, pRspInfo, nRequestID, bIsLast):
"""登出请求响应"""
|
[
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"pUserLogout",
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"pRspInfo",
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https://github.com/ricequant/rqalpha-mod-ctp/blob/bfd40801f9a182226a911cac74660f62993eb6db/rqalpha_mod_ctp/ctp/pyctp/linux64_35/__init__.py#L130-L131
|
||
oilshell/oil
|
94388e7d44a9ad879b12615f6203b38596b5a2d3
|
Python-2.7.13/Lib/trace.py
|
python
|
Trace.globaltrace_countfuncs
|
(self, frame, why, arg)
|
Handler for call events.
Adds (filename, modulename, funcname) to the self._calledfuncs dict.
|
Handler for call events.
|
[
"Handler",
"for",
"call",
"events",
"."
] |
def globaltrace_countfuncs(self, frame, why, arg):
"""Handler for call events.
Adds (filename, modulename, funcname) to the self._calledfuncs dict.
"""
if why == 'call':
this_func = self.file_module_function_of(frame)
self._calledfuncs[this_func] = 1
|
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https://github.com/oilshell/oil/blob/94388e7d44a9ad879b12615f6203b38596b5a2d3/Python-2.7.13/Lib/trace.py#L581-L588
|
||
Altinity/clickhouse-mysql-data-reader
|
3b1b7088751b05e5bbf45890c5949b58208c2343
|
clickhouse_mysql/tableprocessor.py
|
python
|
TableProcessor.tables_list
|
(self, db)
|
return self.client.tables_list(db)
|
List tables in specified DB
:param db: database to list tables in
:return: ['table1', 'table2', ...]
|
List tables in specified DB
|
[
"List",
"tables",
"in",
"specified",
"DB"
] |
def tables_list(self, db):
"""
List tables in specified DB
:param db: database to list tables in
:return: ['table1', 'table2', ...]
"""
return self.client.tables_list(db)
|
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https://github.com/Altinity/clickhouse-mysql-data-reader/blob/3b1b7088751b05e5bbf45890c5949b58208c2343/clickhouse_mysql/tableprocessor.py#L117-L124
|
|
tomerfiliba/plumbum
|
20cdda5e8bbd9f83d64b154f6b4fcd28216c63e1
|
plumbum/fs/atomic.py
|
python
|
AtomicCounterFile.next
|
(self)
|
Read and increment the counter, returning its previous value
|
Read and increment the counter, returning its previous value
|
[
"Read",
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"increment",
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] |
def next(self):
"""
Read and increment the counter, returning its previous value
"""
with self.atomicfile.locked():
curr = self.atomicfile.read_atomic().decode("utf8")
if not curr:
curr = self.initial
else:
curr = int(curr)
self.atomicfile.write_atomic(str(curr + 1).encode("utf8"))
return curr
|
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https://github.com/tomerfiliba/plumbum/blob/20cdda5e8bbd9f83d64b154f6b4fcd28216c63e1/plumbum/fs/atomic.py#L231-L242
|
||
titusjan/argos
|
5a9c31a8a9a2ca825bbf821aa1e685740e3682d7
|
argos/application.py
|
python
|
ArgosApplication.inspectorRegistry
|
(self)
|
return self._inspectorRegistry
|
Returns the repository tree item (rti) registry
|
Returns the repository tree item (rti) registry
|
[
"Returns",
"the",
"repository",
"tree",
"item",
"(",
"rti",
")",
"registry"
] |
def inspectorRegistry(self):
""" Returns the repository tree item (rti) registry
"""
return self._inspectorRegistry
|
[
"def",
"inspectorRegistry",
"(",
"self",
")",
":",
"return",
"self",
".",
"_inspectorRegistry"
] |
https://github.com/titusjan/argos/blob/5a9c31a8a9a2ca825bbf821aa1e685740e3682d7/argos/application.py#L202-L205
|
|
galaxyproject/galaxy
|
4c03520f05062e0f4a1b3655dc0b7452fda69943
|
tools/filters/sff_extract.py
|
python
|
extract_read_info
|
(data, fname)
|
return seqstring, qualstring, xmlstring
|
Given the data for one read it returns 3 strs with the fasta seq, fasta
qual and xml ancillary data.
|
Given the data for one read it returns 3 strs with the fasta seq, fasta
qual and xml ancillary data.
|
[
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"fasta",
"seq",
"fasta",
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"and",
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"ancillary",
"data",
"."
] |
def extract_read_info(data, fname):
'''Given the data for one read it returns 3 strs with the fasta seq, fasta
qual and xml ancillary data.'''
seq, qual = get_read_data(data)
seqstring, qualstring = format_as_fasta(data['name'], seq, qual)
xmlstring = create_xml_for_unpaired_read(data, fname)
return seqstring, qualstring, xmlstring
|
[
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https://github.com/galaxyproject/galaxy/blob/4c03520f05062e0f4a1b3655dc0b7452fda69943/tools/filters/sff_extract.py#L418-L424
|
|
tp4a/teleport
|
1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad
|
server/www/packages/packages-windows/x86/PIL/GifImagePlugin.py
|
python
|
_get_color_table_size
|
(palette_bytes)
|
[] |
def _get_color_table_size(palette_bytes):
# calculate the palette size for the header
if not palette_bytes:
return 0
elif len(palette_bytes) < 9:
return 1
else:
return math.ceil(math.log(len(palette_bytes) // 3, 2)) - 1
|
[
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"(",
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https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-windows/x86/PIL/GifImagePlugin.py#L703-L710
|
||||
zhl2008/awd-platform
|
0416b31abea29743387b10b3914581fbe8e7da5e
|
web_flaskbb/lib/python2.7/site-packages/setuptools/_vendor/packaging/version.py
|
python
|
Version.__str__
|
(self)
|
return "".join(parts)
|
[] |
def __str__(self):
parts = []
# Epoch
if self._version.epoch != 0:
parts.append("{0}!".format(self._version.epoch))
# Release segment
parts.append(".".join(str(x) for x in self._version.release))
# Pre-release
if self._version.pre is not None:
parts.append("".join(str(x) for x in self._version.pre))
# Post-release
if self._version.post is not None:
parts.append(".post{0}".format(self._version.post[1]))
# Development release
if self._version.dev is not None:
parts.append(".dev{0}".format(self._version.dev[1]))
# Local version segment
if self._version.local is not None:
parts.append(
"+{0}".format(".".join(str(x) for x in self._version.local))
)
return "".join(parts)
|
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https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/setuptools/_vendor/packaging/version.py#L236-L264
|
|||
WooYun/TangScan
|
f4fd60228ec09ad10bd3dd3ef3b67e58bcdd4aa5
|
tangscan/thirdparty/requests/packages/urllib3/util/timeout.py
|
python
|
Timeout.start_connect
|
(self)
|
return self._start_connect
|
Start the timeout clock, used during a connect() attempt
:raises urllib3.exceptions.TimeoutStateError: if you attempt
to start a timer that has been started already.
|
Start the timeout clock, used during a connect() attempt
|
[
"Start",
"the",
"timeout",
"clock",
"used",
"during",
"a",
"connect",
"()",
"attempt"
] |
def start_connect(self):
""" Start the timeout clock, used during a connect() attempt
:raises urllib3.exceptions.TimeoutStateError: if you attempt
to start a timer that has been started already.
"""
if self._start_connect is not None:
raise TimeoutStateError("Timeout timer has already been started.")
self._start_connect = current_time()
return self._start_connect
|
[
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"=",
"current_time",
"(",
")",
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https://github.com/WooYun/TangScan/blob/f4fd60228ec09ad10bd3dd3ef3b67e58bcdd4aa5/tangscan/thirdparty/requests/packages/urllib3/util/timeout.py#L169-L178
|
|
rotki/rotki
|
aafa446815cdd5e9477436d1b02bee7d01b398c8
|
rotkehlchen/exchanges/binance.py
|
python
|
Binance.query_online_trade_history
|
(
self,
start_ts: Timestamp,
end_ts: Timestamp,
)
|
return trades, (start_ts, end_ts)
|
May raise due to api query and unexpected id:
- RemoteError
- BinancePermissionError
|
[] |
def query_online_trade_history(
self,
start_ts: Timestamp,
end_ts: Timestamp,
) -> Tuple[List[Trade], Tuple[Timestamp, Timestamp]]:
"""
May raise due to api query and unexpected id:
- RemoteError
- BinancePermissionError
"""
self.first_connection()
if self.selected_pairs is not None:
iter_markets = list(set(self.selected_pairs).intersection(set(self._symbols_to_pair.keys()))) # noqa: E501
else:
iter_markets = list(self._symbols_to_pair.keys())
raw_data = []
# Limit of results to return. 1000 is max limit according to docs
limit = 1000
for symbol in iter_markets:
last_trade_id = 0
len_result = limit
while len_result == limit:
# We know that myTrades returns a list from the api docs
result = self.api_query_list(
'api',
'myTrades',
options={
'symbol': symbol,
'fromId': last_trade_id,
'limit': limit,
# Not specifying them since binance does not seem to
# respect them and always return all trades
# 'startTime': start_ts * 1000,
# 'endTime': end_ts * 1000,
})
if result:
try:
last_trade_id = int(result[-1]['id']) + 1
except (ValueError, KeyError, IndexError) as e:
raise RemoteError(
f'Could not parse id from Binance myTrades api query result: {result}',
) from e
len_result = len(result)
log.debug(f'{self.name} myTrades query result', results_num=len_result)
for r in result:
r['symbol'] = symbol
raw_data.extend(result)
raw_data.sort(key=lambda x: x['time'])
trades = []
for raw_trade in raw_data:
try:
trade = trade_from_binance(
binance_trade=raw_trade,
binance_symbols_to_pair=self.symbols_to_pair,
location=self.location,
)
except UnknownAsset as e:
self.msg_aggregator.add_warning(
f'Found {self.name} trade with unknown asset '
f'{e.asset_name}. Ignoring it.',
)
continue
except UnsupportedAsset as e:
self.msg_aggregator.add_warning(
f'Found {self.name} trade with unsupported asset '
f'{e.asset_name}. Ignoring it.',
)
continue
except (DeserializationError, KeyError) as e:
msg = str(e)
if isinstance(e, KeyError):
msg = f'Missing key entry for {msg}.'
self.msg_aggregator.add_error(
f'Error processing a {self.name} trade. Check logs '
f'for details. Ignoring it.',
)
log.error(
f'Error processing a {self.name} trade',
trade=raw_trade,
error=msg,
)
continue
# Since binance does not respect the given timestamp range, limit the range here
if trade.timestamp < start_ts:
continue
if trade.timestamp > end_ts:
break
trades.append(trade)
fiat_payments = self._query_online_fiat_payments(start_ts=start_ts, end_ts=end_ts)
if fiat_payments:
trades += fiat_payments
trades.sort(key=lambda x: x.timestamp)
return trades, (start_ts, end_ts)
|
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] |
https://github.com/rotki/rotki/blob/aafa446815cdd5e9477436d1b02bee7d01b398c8/rotkehlchen/exchanges/binance.py#L823-L925
|
||
linxid/Machine_Learning_Study_Path
|
558e82d13237114bbb8152483977806fc0c222af
|
Machine Learning In Action/Chapter8-Regression/venv/Lib/site-packages/pip-9.0.1-py3.6.egg/pip/_vendor/distlib/util.py
|
python
|
get_export_entry
|
(specification)
|
return result
|
[] |
def get_export_entry(specification):
m = ENTRY_RE.search(specification)
if not m:
result = None
if '[' in specification or ']' in specification:
raise DistlibException("Invalid specification "
"'%s'" % specification)
else:
d = m.groupdict()
name = d['name']
path = d['callable']
colons = path.count(':')
if colons == 0:
prefix, suffix = path, None
else:
if colons != 1:
raise DistlibException("Invalid specification "
"'%s'" % specification)
prefix, suffix = path.split(':')
flags = d['flags']
if flags is None:
if '[' in specification or ']' in specification:
raise DistlibException("Invalid specification "
"'%s'" % specification)
flags = []
else:
flags = [f.strip() for f in flags.split(',')]
result = ExportEntry(name, prefix, suffix, flags)
return result
|
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"(",
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",",
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",",
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",",
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] |
https://github.com/linxid/Machine_Learning_Study_Path/blob/558e82d13237114bbb8152483977806fc0c222af/Machine Learning In Action/Chapter8-Regression/venv/Lib/site-packages/pip-9.0.1-py3.6.egg/pip/_vendor/distlib/util.py#L567-L595
|
|||
dimagi/commcare-hq
|
d67ff1d3b4c51fa050c19e60c3253a79d3452a39
|
corehq/apps/builds/views.py
|
python
|
get_all
|
(request)
|
return render(request, 'builds/all.html', {'builds': builds})
|
[] |
def get_all(request):
builds = sorted(CommCareBuild.all_builds(), key=lambda build: build.time)
return render(request, 'builds/all.html', {'builds': builds})
|
[
"def",
"get_all",
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"request",
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"builds",
"=",
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"CommCareBuild",
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",",
"'builds/all.html'",
",",
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"'builds'",
":",
"builds",
"}",
")"
] |
https://github.com/dimagi/commcare-hq/blob/d67ff1d3b4c51fa050c19e60c3253a79d3452a39/corehq/apps/builds/views.py#L63-L65
|
|||
famavott/osint-scraper
|
825991d83ad0934c1e4509481c6ec1d0248bf37b
|
osint_scraper/scripts/recon.py
|
python
|
pwned_recon
|
(email)
|
return {'site': 'Have I been pwned.',
'url': url,
'results': results
}
|
Check HIBP if email has been compromised.
|
Check HIBP if email has been compromised.
|
[
"Check",
"HIBP",
"if",
"email",
"has",
"been",
"compromised",
"."
] |
def pwned_recon(email):
"""Check HIBP if email has been compromised."""
if not email:
return None
results = pypwned.getAllBreachesForAccount(email=email)
url = 'https://haveibeenpwned.com/'
if '404' in results:
return None
if 'A server error' in results: # pragma: no cover
return None
return {'site': 'Have I been pwned.',
'url': url,
'results': results
}
|
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",",
"'url'",
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":",
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] |
https://github.com/famavott/osint-scraper/blob/825991d83ad0934c1e4509481c6ec1d0248bf37b/osint_scraper/scripts/recon.py#L49-L62
|
|
sagemath/sage
|
f9b2db94f675ff16963ccdefba4f1a3393b3fe0d
|
src/sage/combinat/words/words.py
|
python
|
Words_n.__init__
|
(self, words, n)
|
r"""
INPUT:
- ``words`` -- a set of finite words
- ``n`` -- a non-negative integer
TESTS::
sage: Words([0,1], length=-42)
Traceback (most recent call last):
...
ValueError: n = -42 must be non-negative
|
r"""
INPUT:
|
[
"r",
"INPUT",
":"
] |
def __init__(self, words, n):
r"""
INPUT:
- ``words`` -- a set of finite words
- ``n`` -- a non-negative integer
TESTS::
sage: Words([0,1], length=-42)
Traceback (most recent call last):
...
ValueError: n = -42 must be non-negative
"""
n = ZZ(n)
if n < 0:
raise ValueError("n = {} must be non-negative".format(n))
self._words = words
self._n = n
Parent.__init__(self, category=Sets(), facade=(words,))
|
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"self",
",",
"category",
"=",
"Sets",
"(",
")",
",",
"facade",
"=",
"(",
"words",
",",
")",
")"
] |
https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/combinat/words/words.py#L2077-L2098
|
||
tensorflow/estimator
|
edb6e18703a0fa00182bcc72a056da6f5ce45e70
|
tensorflow_estimator/python/estimator/tpu/tpu_estimator.py
|
python
|
_InputsWithStoppingSignals.signals
|
(self)
|
return signals
|
Returns the `Signals` from `_Inputs`.
|
Returns the `Signals` from `_Inputs`.
|
[
"Returns",
"the",
"Signals",
"from",
"_Inputs",
"."
] |
def signals(self):
"""Returns the `Signals` from `_Inputs`."""
if self._current_inputs is None:
raise RuntimeError(
'Internal Error: The current inputs have not been properly '
'generated. First call features_and_labels, then call signals.')
signals = self._current_inputs['signals']
self._current_inputs = None
return signals
|
[
"def",
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"RuntimeError",
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"'Internal Error: The current inputs have not been properly '",
"'generated. First call features_and_labels, then call signals.'",
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"signals",
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"_current_inputs",
"[",
"'signals'",
"]",
"self",
".",
"_current_inputs",
"=",
"None",
"return",
"signals"
] |
https://github.com/tensorflow/estimator/blob/edb6e18703a0fa00182bcc72a056da6f5ce45e70/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py#L4014-L4022
|
|
airlab-unibas/airlab
|
1a715766e17c812803624d95196092291fa2241d
|
airlab/utils/imageFilters.py
|
python
|
remove_bed_filter
|
(image, cropping=True)
|
return (Image(outImage).to(device=image.device), Image(bodyMask).to(device=image.device))
|
Removes fine structures from the image using morphological operators. It can be used to remove the bed structure
usually present in CT images. The resulting image and the respective body mask can be cropped with the cropping
option.
Note: the morphological operations are performed on a downsampled version of the image
image (Image): image of interest
cropping (bool): specifies if the image should be cropped after bed removal
return (Image, Image): bed-free image and a body mask
|
Removes fine structures from the image using morphological operators. It can be used to remove the bed structure
usually present in CT images. The resulting image and the respective body mask can be cropped with the cropping
option.
|
[
"Removes",
"fine",
"structures",
"from",
"the",
"image",
"using",
"morphological",
"operators",
".",
"It",
"can",
"be",
"used",
"to",
"remove",
"the",
"bed",
"structure",
"usually",
"present",
"in",
"CT",
"images",
".",
"The",
"resulting",
"image",
"and",
"the",
"respective",
"body",
"mask",
"can",
"be",
"cropped",
"with",
"the",
"cropping",
"option",
"."
] |
def remove_bed_filter(image, cropping=True):
"""
Removes fine structures from the image using morphological operators. It can be used to remove the bed structure
usually present in CT images. The resulting image and the respective body mask can be cropped with the cropping
option.
Note: the morphological operations are performed on a downsampled version of the image
image (Image): image of interest
cropping (bool): specifies if the image should be cropped after bed removal
return (Image, Image): bed-free image and a body mask
"""
# define parameters
houndsfield_min = -300
houndsfield_max = 3071
houndsfield_default = -1024
radius_opening = 3
radius_closing = 40
image_itk = image.itk()
# resample image
workingSize = np.array(image.size)
workingSize[0] /= 3
workingSize[1] /= 3
workingSpacing = np.array(image.spacing, dtype=float) * np.array(image.size, dtype=float) / np.array(workingSize, dtype=float)
resampler = sitk.ResampleImageFilter()
resampler.SetOutputOrigin(image.origin)
resampler.SetSize(workingSize.tolist())
resampler.SetOutputSpacing(workingSpacing.tolist())
resampler.SetInterpolator(2) # linear interpolation
resampler.SetNumberOfThreads(mp.cpu_count())
image_tmp = resampler.Execute(image_itk)
# threshold image
thresholder = sitk.BinaryThresholdImageFilter()
thresholder.SetOutsideValue(0)
thresholder.SetInsideValue(1)
thresholder.SetLowerThreshold(houndsfield_min)
thresholder.SetUpperThreshold(houndsfield_max)
thresholder.SetNumberOfThreads(mp.cpu_count())
image_tmp = thresholder.Execute(image_tmp)
# morphological opening with ball as structuring element
# removes thin structures as the bed
opening = sitk.BinaryMorphologicalOpeningImageFilter()
opening.SetKernelType(sitk.sitkBall)
opening.SetKernelRadius(radius_opening)
opening.SetForegroundValue(1)
opening.SetNumberOfThreads(mp.cpu_count())
image_tmp = opening.Execute(image_tmp)
# crop zero values from mask boundary
if cropping:
image_tmp = auto_crop_image_filter(Image(image_tmp).to(device=image.device)).itk()
# morphological closing with ball as structuring element
# fills up the lungs
closing = sitk.BinaryMorphologicalClosingImageFilter()
closing.SetKernelRadius(sitk.sitkBall)
closing.SetKernelRadius(radius_closing)
closing.SetForegroundValue(1)
closing.SetNumberOfThreads(mp.cpu_count())
image_tmp = closing.Execute(image_tmp)
# resample mask to original spacing
mask_size = np.array(np.array(image_tmp.GetSpacing(), dtype=float)*np.array(image_tmp.GetSize(),dtype=float)/np.array(image.spacing, dtype=float), dtype=int).tolist()
resampler = sitk.ResampleImageFilter()
resampler.SetOutputOrigin(image_tmp.GetOrigin())
resampler.SetSize(mask_size)
resampler.SetOutputSpacing(image.spacing)
resampler.SetInterpolator(1) # nearest neighbor interpolation
resampler.SetNumberOfThreads(mp.cpu_count())
bodyMask = resampler.Execute(image_tmp)
# resample also original image
resampler.SetInterpolator(2)
image_itk = resampler.Execute(image_itk)
# mask image with found label map
masking = sitk.MaskImageFilter()
masking.SetMaskingValue(0)
masking.SetOutsideValue(houndsfield_default)
masking.SetNumberOfThreads(mp.cpu_count())
outImage = masking.Execute(image_itk, bodyMask)
return (Image(outImage).to(device=image.device), Image(bodyMask).to(device=image.device))
|
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"(",
")",
"masking",
".",
"SetMaskingValue",
"(",
"0",
")",
"masking",
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"SetOutsideValue",
"(",
"houndsfield_default",
")",
"masking",
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"(",
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"(",
")",
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",",
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"(",
"bodyMask",
")",
".",
"to",
"(",
"device",
"=",
"image",
".",
"device",
")",
")"
] |
https://github.com/airlab-unibas/airlab/blob/1a715766e17c812803624d95196092291fa2241d/airlab/utils/imageFilters.py#L89-L191
|
|
Qiskit/qiskit-terra
|
b66030e3b9192efdd3eb95cf25c6545fe0a13da4
|
qiskit/providers/models/backendproperties.py
|
python
|
BackendProperties.t2
|
(self, qubit: int)
|
return self.qubit_property(qubit, "T2")[0]
|
Return the T2 time of the given qubit.
Args:
qubit: Qubit for which to return the T2 time of.
Returns:
T2 time of the given qubit.
|
Return the T2 time of the given qubit.
|
[
"Return",
"the",
"T2",
"time",
"of",
"the",
"given",
"qubit",
"."
] |
def t2(self, qubit: int) -> float: # pylint: disable=invalid-name
"""
Return the T2 time of the given qubit.
Args:
qubit: Qubit for which to return the T2 time of.
Returns:
T2 time of the given qubit.
"""
return self.qubit_property(qubit, "T2")[0]
|
[
"def",
"t2",
"(",
"self",
",",
"qubit",
":",
"int",
")",
"->",
"float",
":",
"# pylint: disable=invalid-name",
"return",
"self",
".",
"qubit_property",
"(",
"qubit",
",",
"\"T2\"",
")",
"[",
"0",
"]"
] |
https://github.com/Qiskit/qiskit-terra/blob/b66030e3b9192efdd3eb95cf25c6545fe0a13da4/qiskit/providers/models/backendproperties.py#L406-L416
|
|
ReactionMechanismGenerator/RMG-Py
|
2b7baf51febf27157def58fb3f6cee03fb6a684c
|
arkane/encorr/reference.py
|
python
|
ReferenceSpecies.update_from_arkane_spcs
|
(self, arkane_species)
|
Add in calculated data from an existing ArkaneSpecies object.
Notes:
If the model chemistry already exists then this calculated data will be overwritten by the data contained
in arkane_species
Args:
arkane_species (ArkaneSpecies): Matching Arkane species that was run at the desired model chemistry
|
Add in calculated data from an existing ArkaneSpecies object.
|
[
"Add",
"in",
"calculated",
"data",
"from",
"an",
"existing",
"ArkaneSpecies",
"object",
"."
] |
def update_from_arkane_spcs(self, arkane_species):
"""
Add in calculated data from an existing ArkaneSpecies object.
Notes:
If the model chemistry already exists then this calculated data will be overwritten by the data contained
in arkane_species
Args:
arkane_species (ArkaneSpecies): Matching Arkane species that was run at the desired model chemistry
"""
# First, check that the species matches
if not self.species.is_isomorphic(arkane_species.species):
raise ValueError(f'Cannot update reference species {self} from arkane species {arkane_species}, as these '
f'species are not isomorphic. The reference species has adjacency list:\n'
f'{self.species.to_adjacency_list()}\nWhile the arkane species has adjacency list:\n'
f'{arkane_species.species.to_adjacency_list()}')
thermo_data = arkane_species.thermo_data
# Only store H298 data
thermo_data.Cpdata = None
thermo_data.Tdata = None
thermo_data.S298 = None
conformer = arkane_species.conformer
symbols = [symbol_by_number[n] for n in conformer.number.value]
isotopes = [int(round(m)) for m in conformer.mass.value]
coords = conformer.coordinates.value
xyz_dict = {'symbols': symbols, 'isotopes': isotopes, 'coords': coords}
calc_data = CalculatedDataEntry(thermo_data=thermo_data, xyz_dict=xyz_dict)
self.calculated_data[arkane_species.level_of_theory] = calc_data
|
[
"def",
"update_from_arkane_spcs",
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",",
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"# First, check that the species matches",
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"f'Cannot update reference species {self} from arkane species {arkane_species}, as these '",
"f'species are not isomorphic. The reference species has adjacency list:\\n'",
"f'{self.species.to_adjacency_list()}\\nWhile the arkane species has adjacency list:\\n'",
"f'{arkane_species.species.to_adjacency_list()}'",
")",
"thermo_data",
"=",
"arkane_species",
".",
"thermo_data",
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"[",
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"=",
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] |
https://github.com/ReactionMechanismGenerator/RMG-Py/blob/2b7baf51febf27157def58fb3f6cee03fb6a684c/arkane/encorr/reference.py#L199-L230
|
||
tp4a/teleport
|
1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad
|
server/www/packages/packages-linux/x64/PIL/TiffImagePlugin.py
|
python
|
IFDRational.__hash__
|
(self)
|
return self._val.__hash__()
|
[] |
def __hash__(self):
return self._val.__hash__()
|
[
"def",
"__hash__",
"(",
"self",
")",
":",
"return",
"self",
".",
"_val",
".",
"__hash__",
"(",
")"
] |
https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-linux/x64/PIL/TiffImagePlugin.py#L351-L352
|
|||
praw-dev/praw
|
d1280b132f509ad115f3941fb55f13f979068377
|
praw/models/reddit/subreddit.py
|
python
|
SubredditLinkFlairTemplates.__iter__
|
(
self,
)
|
Iterate through the link flair templates as a moderator.
For example:
.. code-block:: python
for template in reddit.subreddit("test").flair.link_templates:
print(template)
|
Iterate through the link flair templates as a moderator.
|
[
"Iterate",
"through",
"the",
"link",
"flair",
"templates",
"as",
"a",
"moderator",
"."
] |
def __iter__(
self,
) -> Generator[Dict[str, Union[str, int, bool, List[Dict[str, str]]]], None, None]:
"""Iterate through the link flair templates as a moderator.
For example:
.. code-block:: python
for template in reddit.subreddit("test").flair.link_templates:
print(template)
"""
url = API_PATH["link_flair"].format(subreddit=self.subreddit)
for template in self.subreddit._reddit.get(url):
yield template
|
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"self",
".",
"subreddit",
".",
"_reddit",
".",
"get",
"(",
"url",
")",
":",
"yield",
"template"
] |
https://github.com/praw-dev/praw/blob/d1280b132f509ad115f3941fb55f13f979068377/praw/models/reddit/subreddit.py#L2033-L2048
|
||
replit-archive/empythoned
|
977ec10ced29a3541a4973dc2b59910805695752
|
cpython/Lib/plat-mac/EasyDialogs.py
|
python
|
ProgressBar.inc
|
(self, n=1)
|
inc(amt) - Increment progress bar position
|
inc(amt) - Increment progress bar position
|
[
"inc",
"(",
"amt",
")",
"-",
"Increment",
"progress",
"bar",
"position"
] |
def inc(self, n=1):
"""inc(amt) - Increment progress bar position"""
self.set(self.curval + n)
|
[
"def",
"inc",
"(",
"self",
",",
"n",
"=",
"1",
")",
":",
"self",
".",
"set",
"(",
"self",
".",
"curval",
"+",
"n",
")"
] |
https://github.com/replit-archive/empythoned/blob/977ec10ced29a3541a4973dc2b59910805695752/cpython/Lib/plat-mac/EasyDialogs.py#L337-L339
|
||
jliljebl/flowblade
|
995313a509b80e99eb1ad550d945bdda5995093b
|
flowblade-trunk/Flowblade/guicomponents.py
|
python
|
MediaPanel.empty_pressed
|
(self, widget, event)
|
[] |
def empty_pressed(self, widget, event):
self.clear_selection()
if event.button == 3:
self.panel_menu_cb(event)
|
[
"def",
"empty_pressed",
"(",
"self",
",",
"widget",
",",
"event",
")",
":",
"self",
".",
"clear_selection",
"(",
")",
"if",
"event",
".",
"button",
"==",
"3",
":",
"self",
".",
"panel_menu_cb",
"(",
"event",
")"
] |
https://github.com/jliljebl/flowblade/blob/995313a509b80e99eb1ad550d945bdda5995093b/flowblade-trunk/Flowblade/guicomponents.py#L1280-L1283
|
||||
tenzir/threatbus
|
a26096e7b61b3eddf25c445d40a6cd2ea4420558
|
apps/zmq-app-template/zmq_app_template/template.py
|
python
|
receive
|
(pub_endpoint: str, topic: str, indicator_queue: asyncio.Queue)
|
Starts a zmq subscriber on the given endpoint and listens for new messages
that are published on the given topic (zmq prefix matching). Depending on
the topic suffix, Indicators are enqueued to the indicator_queue.
@param pub_endpoint A host:port string to connect to via zmq
@param topic The topic prefix to subscribe to intelligence items
@param indicator_queue The queue to put arriving IoCs into
|
Starts a zmq subscriber on the given endpoint and listens for new messages
that are published on the given topic (zmq prefix matching). Depending on
the topic suffix, Indicators are enqueued to the indicator_queue.
|
[
"Starts",
"a",
"zmq",
"subscriber",
"on",
"the",
"given",
"endpoint",
"and",
"listens",
"for",
"new",
"messages",
"that",
"are",
"published",
"on",
"the",
"given",
"topic",
"(",
"zmq",
"prefix",
"matching",
")",
".",
"Depending",
"on",
"the",
"topic",
"suffix",
"Indicators",
"are",
"enqueued",
"to",
"the",
"indicator_queue",
"."
] |
async def receive(pub_endpoint: str, topic: str, indicator_queue: asyncio.Queue):
"""
Starts a zmq subscriber on the given endpoint and listens for new messages
that are published on the given topic (zmq prefix matching). Depending on
the topic suffix, Indicators are enqueued to the indicator_queue.
@param pub_endpoint A host:port string to connect to via zmq
@param topic The topic prefix to subscribe to intelligence items
@param indicator_queue The queue to put arriving IoCs into
"""
global logger
socket = zmq.Context().socket(zmq.SUB)
socket.connect(f"tcp://{pub_endpoint}")
socket.setsockopt(zmq.SUBSCRIBE, topic.encode())
poller = zmq.Poller()
poller.register(socket, zmq.POLLIN)
logger.info(f"Receiving via ZMQ on topic {pub_endpoint}/{topic}")
while True:
socks = dict(poller.poll(timeout=100)) # Smaller timeouts increase CPU load
if socket in socks and socks[socket] == zmq.POLLIN:
try:
topic, msg = socket.recv().decode().split(" ", 1)
except Exception as e:
logger.error(f"Error decoding message: {e}")
continue
# The topic is suffixed with the message type. Use it for filtering
if not topic.endswith("indicator"):
logger.debug(f"Skipping unsupported message: {msg}")
continue
# Put the message into the queue for incoming intel items, so they
# can be processed asynchronously
await indicator_queue.put(msg)
else:
await asyncio.sleep(0.01)
|
[
"async",
"def",
"receive",
"(",
"pub_endpoint",
":",
"str",
",",
"topic",
":",
"str",
",",
"indicator_queue",
":",
"asyncio",
".",
"Queue",
")",
":",
"global",
"logger",
"socket",
"=",
"zmq",
".",
"Context",
"(",
")",
".",
"socket",
"(",
"zmq",
".",
"SUB",
")",
"socket",
".",
"connect",
"(",
"f\"tcp://{pub_endpoint}\"",
")",
"socket",
".",
"setsockopt",
"(",
"zmq",
".",
"SUBSCRIBE",
",",
"topic",
".",
"encode",
"(",
")",
")",
"poller",
"=",
"zmq",
".",
"Poller",
"(",
")",
"poller",
".",
"register",
"(",
"socket",
",",
"zmq",
".",
"POLLIN",
")",
"logger",
".",
"info",
"(",
"f\"Receiving via ZMQ on topic {pub_endpoint}/{topic}\"",
")",
"while",
"True",
":",
"socks",
"=",
"dict",
"(",
"poller",
".",
"poll",
"(",
"timeout",
"=",
"100",
")",
")",
"# Smaller timeouts increase CPU load",
"if",
"socket",
"in",
"socks",
"and",
"socks",
"[",
"socket",
"]",
"==",
"zmq",
".",
"POLLIN",
":",
"try",
":",
"topic",
",",
"msg",
"=",
"socket",
".",
"recv",
"(",
")",
".",
"decode",
"(",
")",
".",
"split",
"(",
"\" \"",
",",
"1",
")",
"except",
"Exception",
"as",
"e",
":",
"logger",
".",
"error",
"(",
"f\"Error decoding message: {e}\"",
")",
"continue",
"# The topic is suffixed with the message type. Use it for filtering",
"if",
"not",
"topic",
".",
"endswith",
"(",
"\"indicator\"",
")",
":",
"logger",
".",
"debug",
"(",
"f\"Skipping unsupported message: {msg}\"",
")",
"continue",
"# Put the message into the queue for incoming intel items, so they",
"# can be processed asynchronously",
"await",
"indicator_queue",
".",
"put",
"(",
"msg",
")",
"else",
":",
"await",
"asyncio",
".",
"sleep",
"(",
"0.01",
")"
] |
https://github.com/tenzir/threatbus/blob/a26096e7b61b3eddf25c445d40a6cd2ea4420558/apps/zmq-app-template/zmq_app_template/template.py#L237-L269
|
||
linxid/Machine_Learning_Study_Path
|
558e82d13237114bbb8152483977806fc0c222af
|
Machine Learning In Action/Chapter5-LogisticRegression/venv/Lib/site-packages/pip/_vendor/pkg_resources/__init__.py
|
python
|
find_nothing
|
(importer, path_item, only=False)
|
return ()
|
[] |
def find_nothing(importer, path_item, only=False):
return ()
|
[
"def",
"find_nothing",
"(",
"importer",
",",
"path_item",
",",
"only",
"=",
"False",
")",
":",
"return",
"(",
")"
] |
https://github.com/linxid/Machine_Learning_Study_Path/blob/558e82d13237114bbb8152483977806fc0c222af/Machine Learning In Action/Chapter5-LogisticRegression/venv/Lib/site-packages/pip/_vendor/pkg_resources/__init__.py#L1964-L1965
|
|||
tp4a/teleport
|
1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad
|
server/www/packages/packages-darwin/x64/wheezy/captcha/image.py
|
python
|
background
|
(color='#EEEECC')
|
return drawer
|
[] |
def background(color='#EEEECC'):
color = getrgb(color)
def drawer(image, text):
Draw(image).rectangle([(0, 0), image.size], fill=color)
return image
return drawer
|
[
"def",
"background",
"(",
"color",
"=",
"'#EEEECC'",
")",
":",
"color",
"=",
"getrgb",
"(",
"color",
")",
"def",
"drawer",
"(",
"image",
",",
"text",
")",
":",
"Draw",
"(",
"image",
")",
".",
"rectangle",
"(",
"[",
"(",
"0",
",",
"0",
")",
",",
"image",
".",
"size",
"]",
",",
"fill",
"=",
"color",
")",
"return",
"image",
"return",
"drawer"
] |
https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-darwin/x64/wheezy/captcha/image.py#L26-L32
|
|||
isnowfy/pydown
|
71ecc891868cd2a34b7e5fe662c99474f2d0fd7f
|
pygments/lexer.py
|
python
|
_PseudoMatch.groups
|
(self)
|
return (self._text,)
|
[] |
def groups(self):
return (self._text,)
|
[
"def",
"groups",
"(",
"self",
")",
":",
"return",
"(",
"self",
".",
"_text",
",",
")"
] |
https://github.com/isnowfy/pydown/blob/71ecc891868cd2a34b7e5fe662c99474f2d0fd7f/pygments/lexer.py#L274-L275
|
|||
simonw/djangopeople.net
|
ed04d3c79d03b9c74f3e7f82b2af944e021f8e15
|
lib/openid/consumer/consumer.py
|
python
|
Consumer.begin
|
(self, user_url)
|
Start the OpenID authentication process. See steps 1-2 in
the overview at the top of this file.
@param user_url: Identity URL given by the user. This method
performs a textual transformation of the URL to try and
make sure it is normalized. For example, a user_url of
example.com will be normalized to http://example.com/
normalizing and resolving any redirects the server might
issue.
@type user_url: str
@returns: An object containing the discovered information will
be returned, with a method for building a redirect URL to
the server, as described in step 3 of the overview. This
object may also be used to add extension arguments to the
request, using its
L{addExtensionArg<openid.consumer.consumer.AuthRequest.addExtensionArg>}
method.
@returntype: L{AuthRequest<openid.consumer.consumer.AuthRequest>}
@raises openid.consumer.discover.DiscoveryFailure: when I fail to
find an OpenID server for this URL. If the C{yadis} package
is available, L{openid.consumer.discover.DiscoveryFailure} is
an alias for C{yadis.discover.DiscoveryFailure}.
|
Start the OpenID authentication process. See steps 1-2 in
the overview at the top of this file.
|
[
"Start",
"the",
"OpenID",
"authentication",
"process",
".",
"See",
"steps",
"1",
"-",
"2",
"in",
"the",
"overview",
"at",
"the",
"top",
"of",
"this",
"file",
"."
] |
def begin(self, user_url):
"""Start the OpenID authentication process. See steps 1-2 in
the overview at the top of this file.
@param user_url: Identity URL given by the user. This method
performs a textual transformation of the URL to try and
make sure it is normalized. For example, a user_url of
example.com will be normalized to http://example.com/
normalizing and resolving any redirects the server might
issue.
@type user_url: str
@returns: An object containing the discovered information will
be returned, with a method for building a redirect URL to
the server, as described in step 3 of the overview. This
object may also be used to add extension arguments to the
request, using its
L{addExtensionArg<openid.consumer.consumer.AuthRequest.addExtensionArg>}
method.
@returntype: L{AuthRequest<openid.consumer.consumer.AuthRequest>}
@raises openid.consumer.discover.DiscoveryFailure: when I fail to
find an OpenID server for this URL. If the C{yadis} package
is available, L{openid.consumer.discover.DiscoveryFailure} is
an alias for C{yadis.discover.DiscoveryFailure}.
"""
if yadis_available and xri.identifierScheme(user_url) == "XRI":
discoverMethod = discoverXRI
openid_url = user_url
else:
discoverMethod = openIDDiscover
openid_url = oidutil.normalizeUrl(user_url)
if yadis_available:
try:
disco = Discovery(self.session,
openid_url,
self.session_key_prefix)
service = disco.getNextService(discoverMethod)
except fetchers.HTTPFetchingError, e:
raise DiscoveryFailure('Error fetching XRDS document', e)
else:
# XXX - Untested branch!
_, services = openIDDiscover(user_url)
if not services:
service = None
else:
service = services[0]
if service is None:
raise DiscoveryFailure(
'No usable OpenID services found for %s' % (openid_url,), None)
else:
return self.beginWithoutDiscovery(service)
|
[
"def",
"begin",
"(",
"self",
",",
"user_url",
")",
":",
"if",
"yadis_available",
"and",
"xri",
".",
"identifierScheme",
"(",
"user_url",
")",
"==",
"\"XRI\"",
":",
"discoverMethod",
"=",
"discoverXRI",
"openid_url",
"=",
"user_url",
"else",
":",
"discoverMethod",
"=",
"openIDDiscover",
"openid_url",
"=",
"oidutil",
".",
"normalizeUrl",
"(",
"user_url",
")",
"if",
"yadis_available",
":",
"try",
":",
"disco",
"=",
"Discovery",
"(",
"self",
".",
"session",
",",
"openid_url",
",",
"self",
".",
"session_key_prefix",
")",
"service",
"=",
"disco",
".",
"getNextService",
"(",
"discoverMethod",
")",
"except",
"fetchers",
".",
"HTTPFetchingError",
",",
"e",
":",
"raise",
"DiscoveryFailure",
"(",
"'Error fetching XRDS document'",
",",
"e",
")",
"else",
":",
"# XXX - Untested branch!",
"_",
",",
"services",
"=",
"openIDDiscover",
"(",
"user_url",
")",
"if",
"not",
"services",
":",
"service",
"=",
"None",
"else",
":",
"service",
"=",
"services",
"[",
"0",
"]",
"if",
"service",
"is",
"None",
":",
"raise",
"DiscoveryFailure",
"(",
"'No usable OpenID services found for %s'",
"%",
"(",
"openid_url",
",",
")",
",",
"None",
")",
"else",
":",
"return",
"self",
".",
"beginWithoutDiscovery",
"(",
"service",
")"
] |
https://github.com/simonw/djangopeople.net/blob/ed04d3c79d03b9c74f3e7f82b2af944e021f8e15/lib/openid/consumer/consumer.py#L253-L308
|
||
sametmax/Django--an-app-at-a-time
|
99eddf12ead76e6dfbeb09ce0bae61e282e22f8a
|
ignore_this_directory/django/db/backends/oracle/introspection.py
|
python
|
DatabaseIntrospection.identifier_converter
|
(self, name)
|
return name.lower()
|
Identifier comparison is case insensitive under Oracle.
|
Identifier comparison is case insensitive under Oracle.
|
[
"Identifier",
"comparison",
"is",
"case",
"insensitive",
"under",
"Oracle",
"."
] |
def identifier_converter(self, name):
"""Identifier comparison is case insensitive under Oracle."""
return name.lower()
|
[
"def",
"identifier_converter",
"(",
"self",
",",
"name",
")",
":",
"return",
"name",
".",
"lower",
"(",
")"
] |
https://github.com/sametmax/Django--an-app-at-a-time/blob/99eddf12ead76e6dfbeb09ce0bae61e282e22f8a/ignore_this_directory/django/db/backends/oracle/introspection.py#L106-L108
|
|
sightmachine/SimpleCV
|
6c4d61b6d1d9d856b471910107cad0838954d2b2
|
SimpleCV/examples/web-based/cloudanimator/images2gif.py
|
python
|
getGraphicsControlExt
|
(duration=0.1)
|
return bb
|
Graphics Control Extension. A sort of header at the start of
each image. Specifies transparancy and duration.
|
Graphics Control Extension. A sort of header at the start of
each image. Specifies transparancy and duration.
|
[
"Graphics",
"Control",
"Extension",
".",
"A",
"sort",
"of",
"header",
"at",
"the",
"start",
"of",
"each",
"image",
".",
"Specifies",
"transparancy",
"and",
"duration",
"."
] |
def getGraphicsControlExt(duration=0.1):
""" Graphics Control Extension. A sort of header at the start of
each image. Specifies transparancy and duration. """
bb = '\x21\xF9\x04'
bb += '\x08' # no transparancy
bb += intToBin( int(duration*100) ) # in 100th of seconds
bb += '\x00' # no transparant color
bb += '\x00' # end
return bb
|
[
"def",
"getGraphicsControlExt",
"(",
"duration",
"=",
"0.1",
")",
":",
"bb",
"=",
"'\\x21\\xF9\\x04'",
"bb",
"+=",
"'\\x08'",
"# no transparancy",
"bb",
"+=",
"intToBin",
"(",
"int",
"(",
"duration",
"*",
"100",
")",
")",
"# in 100th of seconds",
"bb",
"+=",
"'\\x00'",
"# no transparant color",
"bb",
"+=",
"'\\x00'",
"# end",
"return",
"bb"
] |
https://github.com/sightmachine/SimpleCV/blob/6c4d61b6d1d9d856b471910107cad0838954d2b2/SimpleCV/examples/web-based/cloudanimator/images2gif.py#L66-L74
|
|
azavea/raster-vision
|
fc181a6f31f085affa1ee12f0204bdbc5a6bf85a
|
rastervision_core/rastervision/core/data/label/semantic_segmentation_labels.py
|
python
|
SemanticSegmentationLabels.__setitem__
|
(self, window: Box, values: np.ndarray)
|
Set labels for the given window, overriding current values, if any.
|
Set labels for the given window, overriding current values, if any.
|
[
"Set",
"labels",
"for",
"the",
"given",
"window",
"overriding",
"current",
"values",
"if",
"any",
"."
] |
def __setitem__(self, window: Box, values: np.ndarray) -> None:
"""Set labels for the given window, overriding current values, if any.
"""
pass
|
[
"def",
"__setitem__",
"(",
"self",
",",
"window",
":",
"Box",
",",
"values",
":",
"np",
".",
"ndarray",
")",
"->",
"None",
":",
"pass"
] |
https://github.com/azavea/raster-vision/blob/fc181a6f31f085affa1ee12f0204bdbc5a6bf85a/rastervision_core/rastervision/core/data/label/semantic_segmentation_labels.py#L26-L29
|
||
pyannote/pyannote-audio
|
a448164b4abe56a2c0da11e143648d4fed5967f8
|
pyannote/audio/applications/config.py
|
python
|
load_config
|
(
config_yml: Path,
training: bool = False,
config_default_module: Text = None,
pretrained_config_yml: Path = None,
)
|
return cfg
|
Returns
-------
config : Dict
['preprocessors']
['learning_rate']
['scheduler']
['get_optimizer']
['callbacks']
['feature_extraction']
['task']
['get_model_from_specs']
['model_resolution']
['model_alignment']
|
[] |
def load_config(
config_yml: Path,
training: bool = False,
config_default_module: Text = None,
pretrained_config_yml: Path = None,
) -> Dict:
"""
Returns
-------
config : Dict
['preprocessors']
['learning_rate']
['scheduler']
['get_optimizer']
['callbacks']
['feature_extraction']
['task']
['get_model_from_specs']
['model_resolution']
['model_alignment']
"""
# load pretrained model configuration
pretrained_cfg = dict()
if pretrained_config_yml is not None:
with open(pretrained_config_yml, "r") as fp:
pretrained_cfg = yaml.load(fp, Loader=yaml.SafeLoader)
# load configuration or complain it's missing
cfg = dict()
if config_yml.exists():
with open(config_yml, "r") as fp:
cfg = yaml.load(fp, Loader=yaml.SafeLoader)
# backup user-provided config because it will be updated
if pretrained_config_yml is not None:
shutil.copy(config_yml, config_yml.parent / "backup+config.yml")
elif pretrained_config_yml is None:
msg = f"{config_yml} configuration file is missing."
raise FileNotFoundError(msg)
# override pretrained model config with user-provided config
cfg = merge_cfg(pretrained_cfg, cfg)
# save (updated) config to disk
if pretrained_config_yml is not None:
with open(config_yml, "w") as fp:
yaml.dump(cfg, fp, default_flow_style=False)
# preprocessors
preprocessors = dict()
for key, preprocessor in cfg.get("preprocessors", {}).items():
# preprocessors:
# key:
# name: package.module.ClassName
# params:
# param1: value1
# param2: value2
if isinstance(preprocessor, dict):
Klass = get_class_by_name(preprocessor["name"])
preprocessors[key] = Klass(**preprocessor.get("params", {}))
continue
try:
# preprocessors:
# key: /path/to/database.yml
preprocessors[key] = FileFinder(database_yml=preprocessor)
except FileNotFoundError as e:
# preprocessors:
# key: /path/to/{uri}.wav
preprocessors[key] = preprocessor
cfg["preprocessors"] = preprocessors
# scheduler
SCHEDULER_DEFAULT = {
"name": "DavisKingScheduler",
"params": {"learning_rate": "auto"},
}
scheduler_cfg = cfg.get("scheduler", SCHEDULER_DEFAULT)
Scheduler = get_class_by_name(
scheduler_cfg["name"], default_module_name="pyannote.audio.train.schedulers"
)
scheduler_params = scheduler_cfg.get("params", {})
cfg["learning_rate"] = scheduler_params.pop("learning_rate", "auto")
cfg["scheduler"] = Scheduler(**scheduler_params)
# optimizer
OPTIMIZER_DEFAULT = {
"name": "SGD",
"params": {
"momentum": 0.9,
"dampening": 0,
"weight_decay": 0,
"nesterov": True,
},
}
optimizer_cfg = cfg.get("optimizer", OPTIMIZER_DEFAULT)
try:
Optimizer = get_class_by_name(
optimizer_cfg["name"], default_module_name="torch.optim"
)
optimizer_params = optimizer_cfg.get("params", {})
cfg["get_optimizer"] = partial(Optimizer, **optimizer_params)
# do not raise an error here as it is possible that the optimizer is
# not really needed (e.g. in pipeline training)
except ModuleNotFoundError as e:
warnings.warn(e.args[0])
# data augmentation should only be active when training a model
if training and "data_augmentation" in cfg:
DataAugmentation = get_class_by_name(
cfg["data_augmentation"]["name"],
default_module_name="pyannote.audio.augmentation",
)
augmentation = DataAugmentation(**cfg["data_augmentation"].get("params", {}))
else:
augmentation = None
# custom callbacks
callbacks = []
for callback_config in cfg.get("callbacks", {}):
Callback = get_class_by_name(callback_config["name"])
callback = Callback(**callback_config.get("params", {}))
callbacks.append(callback)
cfg["callbacks"] = callbacks
# feature extraction
FEATURE_DEFAULT = {"name": "RawAudio", "params": {"sample_rate": 16000}}
feature_cfg = cfg.get("feature_extraction", FEATURE_DEFAULT)
FeatureExtraction = get_class_by_name(
feature_cfg["name"], default_module_name="pyannote.audio.features"
)
feature_params = feature_cfg.get("params", {})
cfg["feature_extraction"] = FeatureExtraction(
**feature_params, augmentation=augmentation
)
# task
if config_default_module is None:
config_default_module = "pyannote.audio.labeling.tasks"
try:
TaskClass = get_class_by_name(
cfg["task"]["name"], default_module_name=config_default_module
)
except AttributeError:
TaskClass = get_class_by_name(
cfg["task"]["name"],
default_module_name="pyannote.audio.embedding.approaches",
)
cfg["task"] = TaskClass(**cfg["task"].get("params", {}))
# architecture
Architecture = get_class_by_name(
cfg["architecture"]["name"], default_module_name="pyannote.audio.models"
)
params = cfg["architecture"].get("params", {})
cfg["get_model_from_specs"] = partial(Architecture, **params)
task = cfg["task"].task
cfg["model_resolution"] = Architecture.get_resolution(task, **params)
cfg["model_alignment"] = Architecture.get_alignment(task, **params)
return cfg
|
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":",
"TaskClass",
"=",
"get_class_by_name",
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"\"task\"",
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"=",
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"(",
"cfg",
"[",
"\"architecture\"",
"]",
"[",
"\"name\"",
"]",
",",
"default_module_name",
"=",
"\"pyannote.audio.models\"",
")",
"params",
"=",
"cfg",
"[",
"\"architecture\"",
"]",
".",
"get",
"(",
"\"params\"",
",",
"{",
"}",
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"cfg",
"[",
"\"get_model_from_specs\"",
"]",
"=",
"partial",
"(",
"Architecture",
",",
"*",
"*",
"params",
")",
"task",
"=",
"cfg",
"[",
"\"task\"",
"]",
".",
"task",
"cfg",
"[",
"\"model_resolution\"",
"]",
"=",
"Architecture",
".",
"get_resolution",
"(",
"task",
",",
"*",
"*",
"params",
")",
"cfg",
"[",
"\"model_alignment\"",
"]",
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"Architecture",
".",
"get_alignment",
"(",
"task",
",",
"*",
"*",
"params",
")",
"return",
"cfg"
] |
https://github.com/pyannote/pyannote-audio/blob/a448164b4abe56a2c0da11e143648d4fed5967f8/pyannote/audio/applications/config.py#L64-L235
|
||
sagemath/sage
|
f9b2db94f675ff16963ccdefba4f1a3393b3fe0d
|
src/sage/modular/local_comp/smoothchar.py
|
python
|
SmoothCharacterGroupQp.quadratic_chars
|
(self)
|
return sorted([nr] + [f for f in ram] + [f*nr for f in ram])
|
r"""
Return a list of the (non-trivial) quadratic characters in this group.
This will be a list of 3 characters, unless `p = 2` when there are 7.
EXAMPLES::
sage: from sage.modular.local_comp.smoothchar import SmoothCharacterGroupQp
sage: SmoothCharacterGroupQp(7, QQ).quadratic_chars()
[Character of Q_7*, of level 0, mapping 7 |--> -1,
Character of Q_7*, of level 1, mapping 3 |--> -1, 7 |--> -1,
Character of Q_7*, of level 1, mapping 3 |--> -1, 7 |--> 1]
sage: SmoothCharacterGroupQp(2, QQ).quadratic_chars()
[Character of Q_2*, of level 0, mapping 2 |--> -1,
Character of Q_2*, of level 2, mapping 3 |--> -1, 2 |--> -1,
Character of Q_2*, of level 2, mapping 3 |--> -1, 2 |--> 1,
Character of Q_2*, of level 3, mapping 7 |--> -1, 5 |--> -1, 2 |--> -1,
Character of Q_2*, of level 3, mapping 7 |--> -1, 5 |--> -1, 2 |--> 1,
Character of Q_2*, of level 3, mapping 7 |--> 1, 5 |--> -1, 2 |--> -1,
Character of Q_2*, of level 3, mapping 7 |--> 1, 5 |--> -1, 2 |--> 1]
|
r"""
Return a list of the (non-trivial) quadratic characters in this group.
This will be a list of 3 characters, unless `p = 2` when there are 7.
|
[
"r",
"Return",
"a",
"list",
"of",
"the",
"(",
"non",
"-",
"trivial",
")",
"quadratic",
"characters",
"in",
"this",
"group",
".",
"This",
"will",
"be",
"a",
"list",
"of",
"3",
"characters",
"unless",
"p",
"=",
"2",
"when",
"there",
"are",
"7",
"."
] |
def quadratic_chars(self):
r"""
Return a list of the (non-trivial) quadratic characters in this group.
This will be a list of 3 characters, unless `p = 2` when there are 7.
EXAMPLES::
sage: from sage.modular.local_comp.smoothchar import SmoothCharacterGroupQp
sage: SmoothCharacterGroupQp(7, QQ).quadratic_chars()
[Character of Q_7*, of level 0, mapping 7 |--> -1,
Character of Q_7*, of level 1, mapping 3 |--> -1, 7 |--> -1,
Character of Q_7*, of level 1, mapping 3 |--> -1, 7 |--> 1]
sage: SmoothCharacterGroupQp(2, QQ).quadratic_chars()
[Character of Q_2*, of level 0, mapping 2 |--> -1,
Character of Q_2*, of level 2, mapping 3 |--> -1, 2 |--> -1,
Character of Q_2*, of level 2, mapping 3 |--> -1, 2 |--> 1,
Character of Q_2*, of level 3, mapping 7 |--> -1, 5 |--> -1, 2 |--> -1,
Character of Q_2*, of level 3, mapping 7 |--> -1, 5 |--> -1, 2 |--> 1,
Character of Q_2*, of level 3, mapping 7 |--> 1, 5 |--> -1, 2 |--> -1,
Character of Q_2*, of level 3, mapping 7 |--> 1, 5 |--> -1, 2 |--> 1]
"""
if self.prime() == 2:
q = 3
else:
q = 1
ram = [self.from_dirichlet(chi) for chi in DirichletGroup(self.prime() ** q, QQ) if not chi.is_trivial()]
nr = self.character(0, [-1])
return sorted([nr] + [f for f in ram] + [f*nr for f in ram])
|
[
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"quadratic_chars",
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":",
"q",
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"+",
"[",
"f",
"*",
"nr",
"for",
"f",
"in",
"ram",
"]",
")"
] |
https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/modular/local_comp/smoothchar.py#L1069-L1096
|
|
freewym/espresso
|
6671c507350295269e38add57dbe601dcb8e6ecf
|
fairseq/data/audio/data_cfg.py
|
python
|
S2SDataConfig.output_sample_rate
|
(self)
|
return self.config.get("output_sample_rate", 22050)
|
The audio sample rate of output target speech
|
The audio sample rate of output target speech
|
[
"The",
"audio",
"sample",
"rate",
"of",
"output",
"target",
"speech"
] |
def output_sample_rate(self):
"""The audio sample rate of output target speech"""
return self.config.get("output_sample_rate", 22050)
|
[
"def",
"output_sample_rate",
"(",
"self",
")",
":",
"return",
"self",
".",
"config",
".",
"get",
"(",
"\"output_sample_rate\"",
",",
"22050",
")"
] |
https://github.com/freewym/espresso/blob/6671c507350295269e38add57dbe601dcb8e6ecf/fairseq/data/audio/data_cfg.py#L182-L184
|
|
tgalal/yowsup
|
dd47d57a950964bab0c4715e9d56fd8450bc94e2
|
yowsup/config/base/transform.py
|
python
|
ConfigTransform.transform
|
(self, config)
|
:param config:
:type config: yowsup.config.base.config.Config
:return: dict
:rtype:
|
:param config:
:type config: yowsup.config.base.config.Config
:return: dict
:rtype:
|
[
":",
"param",
"config",
":",
":",
"type",
"config",
":",
"yowsup",
".",
"config",
".",
"base",
".",
"config",
".",
"Config",
":",
"return",
":",
"dict",
":",
"rtype",
":"
] |
def transform(self, config):
"""
:param config:
:type config: yowsup.config.base.config.Config
:return: dict
:rtype:
"""
|
[
"def",
"transform",
"(",
"self",
",",
"config",
")",
":"
] |
https://github.com/tgalal/yowsup/blob/dd47d57a950964bab0c4715e9d56fd8450bc94e2/yowsup/config/base/transform.py#L2-L8
|
||
Tautulli/Tautulli
|
2410eb33805aaac4bd1c5dad0f71e4f15afaf742
|
lib/paho/mqtt/matcher.py
|
python
|
MQTTMatcher.__init__
|
(self)
|
[] |
def __init__(self):
self._root = self.Node()
|
[
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"_root",
"=",
"self",
".",
"Node",
"(",
")"
] |
https://github.com/Tautulli/Tautulli/blob/2410eb33805aaac4bd1c5dad0f71e4f15afaf742/lib/paho/mqtt/matcher.py#L16-L17
|
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