content
stringlengths 7
1.05M
| fixed_cases
stringlengths 1
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|---|---|
class Iterator(object):
def __init__(self, iterable, looping: bool = False):
self.iterable = iterable
self.lastPos = 0
self.looping = looping
def __next__(self):
pos = self.lastPos
self.lastPos += 1
if self.lastPos >= len(self.iterable):
if self.looping:
self.lastPos = 0
else:
raise StopIteration
return self.iterable[pos] | class Iterator(object):
def __init__(self, iterable, looping: bool=False):
self.iterable = iterable
self.lastPos = 0
self.looping = looping
def __next__(self):
pos = self.lastPos
self.lastPos += 1
if self.lastPos >= len(self.iterable):
if self.looping:
self.lastPos = 0
else:
raise StopIteration
return self.iterable[pos] |
##################################################################################
#### Runtime configuration
##################################################################################
sampleCounter = 0
##################################################################################
#### General configuration
##################################################################################
version = "1.0.2103.0401"
##################################################################################
#### LCD configuration
##################################################################################
lcdI2cExpanderType = "PCF8574"
lcdI2cAddress = 0x27
lcdColumnCount = 20
lcdRowCount = 4
| sample_counter = 0
version = '1.0.2103.0401'
lcd_i2c_expander_type = 'PCF8574'
lcd_i2c_address = 39
lcd_column_count = 20
lcd_row_count = 4 |
# REPLACE EVERYTHING IN CURLY BRACKETS {}, INCLUDING THE BRACKETS THEMSELVES.
# THEN RENAME THIS FILE TO constants.py AND MOVE IT INTO YOUR PROJECT'S ROOT
CONNECT_BASE_URL = '{YOUR BASE URL}/api/xml?action='
CONNECT_LOGIN = '{YOUR LOGIN}'
CONNECT_PWD = '{YOUR PASSWORD}'
# USERS YOU WANT TO BE ABLE TO EXCLUDE FROM REPORTS
CONNECT_ADMIN_USERS = ['{USER1LOGIN}',
'{USER2LOGIN}',
'{USER3LOGIN}'
]
| connect_base_url = '{YOUR BASE URL}/api/xml?action='
connect_login = '{YOUR LOGIN}'
connect_pwd = '{YOUR PASSWORD}'
connect_admin_users = ['{USER1LOGIN}', '{USER2LOGIN}', '{USER3LOGIN}'] |
# -*- coding: utf-8 -*-
def crearCombinaciones(abecedario):
for d1 in abecedario:
for d2 in abecedario:
for d3 in abecedario:
for d4 in abecedario:
#print(d1 + '' + d2 + '' + d3 + '' + d4)
f.write(d1 + '' + d2 + '' + d3 + '' + d4)
f.write('\n')
abecedario = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
f = open("dico.txt", "w")
crearCombinaciones(abecedario)
f.close()
| def crear_combinaciones(abecedario):
for d1 in abecedario:
for d2 in abecedario:
for d3 in abecedario:
for d4 in abecedario:
f.write(d1 + '' + d2 + '' + d3 + '' + d4)
f.write('\n')
abecedario = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
f = open('dico.txt', 'w')
crear_combinaciones(abecedario)
f.close() |
set_name(0x8009CFEC, "VID_OpenModule__Fv", SN_NOWARN)
set_name(0x8009D0AC, "InitScreens__Fv", SN_NOWARN)
set_name(0x8009D19C, "MEM_SetupMem__Fv", SN_NOWARN)
set_name(0x8009D1C8, "SetupWorkRam__Fv", SN_NOWARN)
set_name(0x8009D258, "SYSI_Init__Fv", SN_NOWARN)
set_name(0x8009D364, "GM_Open__Fv", SN_NOWARN)
set_name(0x8009D388, "PA_Open__Fv", SN_NOWARN)
set_name(0x8009D3C0, "PAD_Open__Fv", SN_NOWARN)
set_name(0x8009D404, "OVR_Open__Fv", SN_NOWARN)
set_name(0x8009D424, "SCR_Open__Fv", SN_NOWARN)
set_name(0x8009D454, "DEC_Open__Fv", SN_NOWARN)
| set_name(2148126700, 'VID_OpenModule__Fv', SN_NOWARN)
set_name(2148126892, 'InitScreens__Fv', SN_NOWARN)
set_name(2148127132, 'MEM_SetupMem__Fv', SN_NOWARN)
set_name(2148127176, 'SetupWorkRam__Fv', SN_NOWARN)
set_name(2148127320, 'SYSI_Init__Fv', SN_NOWARN)
set_name(2148127588, 'GM_Open__Fv', SN_NOWARN)
set_name(2148127624, 'PA_Open__Fv', SN_NOWARN)
set_name(2148127680, 'PAD_Open__Fv', SN_NOWARN)
set_name(2148127748, 'OVR_Open__Fv', SN_NOWARN)
set_name(2148127780, 'SCR_Open__Fv', SN_NOWARN)
set_name(2148127828, 'DEC_Open__Fv', SN_NOWARN) |
lr_scheduler = dict(
name='poly_scheduler',
epochs=30,
power=0.9
)
| lr_scheduler = dict(name='poly_scheduler', epochs=30, power=0.9) |
size(800, 600)
background(255)
triangle(20, 20, 20, 50, 50, 20)
triangle(200, 100, 200, 150, 300, 320)
triangle(700, 500, 800, 550, 600, 600) | size(800, 600)
background(255)
triangle(20, 20, 20, 50, 50, 20)
triangle(200, 100, 200, 150, 300, 320)
triangle(700, 500, 800, 550, 600, 600) |
#part 1
count = 0
expected_fields = {'byr', 'iyr', 'eyr', 'hgt', 'hcl', 'ecl', 'pid'}
received_fields = set()
with open("input.txt") as f:
for line in f:
if line != '\n':
fields = {i[:3] for i in line.split(' ')}
received_fields.update(fields)
else:
difference = expected_fields - received_fields
if not difference:
count += 1
received_fields.clear()
print(count)
#part 2
count = 0
expected_fields = {'byr', 'iyr', 'eyr', 'hgt', 'hcl', 'ecl', 'pid'}
received_fields = set()
received_pairs = {}
with open("input.txt") as f:
for line in f:
if line != '\n':
for pair in line.split(' '):
key, value = pair.split(':')
received_pairs[key.strip()] = value.strip()
received_fields.add(key)
else:
difference = expected_fields - received_fields
if not difference:
rules = {
'byr': lambda x: 1920 <= int(x) <= 2002,
'iyr': lambda x: 2010 <= int(x) <= 2020,
'eyr': lambda x: 2020 <= int(x) <= 2030,
'hgt': lambda x: 150 <= int(x[:-2]) <= 193 if x[-2:] == 'cm' \
else 59 <= int(x[:-2]) <= 76 if x[-2:] == 'in' else False,
'hcl': lambda x: x[0] == '#' and len(x) == 7 and \
all(map(lambda y: '0' <= y <= '9' or 'a' <= y <= 'f', x[1:])),
'ecl': lambda x: x in {'amb', 'blu', 'brn', 'gry', 'grn', 'hzl', 'oth'},
'pid': lambda x: len(x) == 9 and all(map(lambda y: '0' <= y <= '9', x)),
'cid': lambda x: True
}
for key in received_pairs:
if not rules[key](received_pairs[key]):
break
else:
count += 1
received_fields.clear()
received_pairs.clear()
print(count) | count = 0
expected_fields = {'byr', 'iyr', 'eyr', 'hgt', 'hcl', 'ecl', 'pid'}
received_fields = set()
with open('input.txt') as f:
for line in f:
if line != '\n':
fields = {i[:3] for i in line.split(' ')}
received_fields.update(fields)
else:
difference = expected_fields - received_fields
if not difference:
count += 1
received_fields.clear()
print(count)
count = 0
expected_fields = {'byr', 'iyr', 'eyr', 'hgt', 'hcl', 'ecl', 'pid'}
received_fields = set()
received_pairs = {}
with open('input.txt') as f:
for line in f:
if line != '\n':
for pair in line.split(' '):
(key, value) = pair.split(':')
received_pairs[key.strip()] = value.strip()
received_fields.add(key)
else:
difference = expected_fields - received_fields
if not difference:
rules = {'byr': lambda x: 1920 <= int(x) <= 2002, 'iyr': lambda x: 2010 <= int(x) <= 2020, 'eyr': lambda x: 2020 <= int(x) <= 2030, 'hgt': lambda x: 150 <= int(x[:-2]) <= 193 if x[-2:] == 'cm' else 59 <= int(x[:-2]) <= 76 if x[-2:] == 'in' else False, 'hcl': lambda x: x[0] == '#' and len(x) == 7 and all(map(lambda y: '0' <= y <= '9' or 'a' <= y <= 'f', x[1:])), 'ecl': lambda x: x in {'amb', 'blu', 'brn', 'gry', 'grn', 'hzl', 'oth'}, 'pid': lambda x: len(x) == 9 and all(map(lambda y: '0' <= y <= '9', x)), 'cid': lambda x: True}
for key in received_pairs:
if not rules[key](received_pairs[key]):
break
else:
count += 1
received_fields.clear()
received_pairs.clear()
print(count) |
ACTION_CREATED = 'created'
ACTION_UPDATED = 'updated'
ACTION_DELETED = 'deleted'
ACTION_OTHER = 'other'
ACTION_CHOICES = (
(ACTION_CREATED, ACTION_CREATED),
(ACTION_UPDATED, ACTION_UPDATED),
(ACTION_DELETED, ACTION_DELETED),
(ACTION_OTHER, ACTION_OTHER),
)
LOG_LEVEL_CRITICAL = 'CRITICAL'
LOG_LEVEL_ERROR = 'ERROR'
LOG_LEVEL_WARNING = 'WARNING'
LOG_LEVEL_INFO = 'INFO'
LOG_LEVEL_DEBUG = 'DEBUG'
LOG_LEVEL_NOTSET = 'NOTSET'
LOG_LEVEL_CHOICES = (
(LOG_LEVEL_CRITICAL, LOG_LEVEL_CRITICAL),
(LOG_LEVEL_ERROR, LOG_LEVEL_ERROR),
(LOG_LEVEL_WARNING, LOG_LEVEL_WARNING),
(LOG_LEVEL_INFO, LOG_LEVEL_INFO),
(LOG_LEVEL_DEBUG, LOG_LEVEL_DEBUG),
(LOG_LEVEL_NOTSET, LOG_LEVEL_NOTSET),
)
| action_created = 'created'
action_updated = 'updated'
action_deleted = 'deleted'
action_other = 'other'
action_choices = ((ACTION_CREATED, ACTION_CREATED), (ACTION_UPDATED, ACTION_UPDATED), (ACTION_DELETED, ACTION_DELETED), (ACTION_OTHER, ACTION_OTHER))
log_level_critical = 'CRITICAL'
log_level_error = 'ERROR'
log_level_warning = 'WARNING'
log_level_info = 'INFO'
log_level_debug = 'DEBUG'
log_level_notset = 'NOTSET'
log_level_choices = ((LOG_LEVEL_CRITICAL, LOG_LEVEL_CRITICAL), (LOG_LEVEL_ERROR, LOG_LEVEL_ERROR), (LOG_LEVEL_WARNING, LOG_LEVEL_WARNING), (LOG_LEVEL_INFO, LOG_LEVEL_INFO), (LOG_LEVEL_DEBUG, LOG_LEVEL_DEBUG), (LOG_LEVEL_NOTSET, LOG_LEVEL_NOTSET)) |
def interest(n, principle_amount):
def years(x):
return principle_amount + (n * principle_amount * x) / 100
return years
principle = 100000
home_loan = interest(7, principle) # percentage of 7
personal_loan = interest(11, principle) # percentage of 11
print(home_loan(20)) # for 20 years
print(personal_loan(3)) # for 3 years
| def interest(n, principle_amount):
def years(x):
return principle_amount + n * principle_amount * x / 100
return years
principle = 100000
home_loan = interest(7, principle)
personal_loan = interest(11, principle)
print(home_loan(20))
print(personal_loan(3)) |
class ProducerEvent:
timestamp = 0
csvName = ""
houseId = 0
deviceId = 0
id = 0
def __init__(self, timestamp, ids, csv_name):
self.timestamp = int(timestamp)
self.csvName = csv_name
# ids_list = list(map(int, ids.replace("[", "").replace("]", "").replace("pv_producer", "").split(":")))
# self.houseId = int(ids_list[0])
# self.deviceId = int(ids_list[1])
ids_list = csv_name.split("_")
self.houseId = int(ids_list[0])
self.deviceId = int(ids_list[1])
self.id = int(ids_list[2].split(".")[0])
def __str__(self):
return "timestamp %r, csvName %r, houseId %r, deviceId %r, Id %r" %\
(self.timestamp, self.csvName, self.houseId, self.deviceId, self.id)
| class Producerevent:
timestamp = 0
csv_name = ''
house_id = 0
device_id = 0
id = 0
def __init__(self, timestamp, ids, csv_name):
self.timestamp = int(timestamp)
self.csvName = csv_name
ids_list = csv_name.split('_')
self.houseId = int(ids_list[0])
self.deviceId = int(ids_list[1])
self.id = int(ids_list[2].split('.')[0])
def __str__(self):
return 'timestamp %r, csvName %r, houseId %r, deviceId %r, Id %r' % (self.timestamp, self.csvName, self.houseId, self.deviceId, self.id) |
# some mnemonics as specific to capstone
CJMP_INS = ["je", "jne", "js", "jns", "jp", "jnp", "jo", "jno", "jl", "jle", "jg", "jge", "jb", "jbe", "ja", "jae", "jcxz", "jecxz", "jrcxz"]
LOOP_INS = ["loop", "loopne", "loope"]
JMP_INS = ["jmp", "ljmp"]
CALL_INS = ["call", "lcall"]
RET_INS = ["ret", "retn", "retf", "iret"]
END_INS = ["ret", "retn", "retf", "iret", "int3"]
REGS_32BIT = ["eax", "ebx", "ecx", "edx", "esi", "edi", "ebp", "esp"]
DOUBLE_ZERO = bytearray(b"\x00\x00")
DEFAULT_PROLOGUES = [
b"\x8B\xFF\x55\x8B\xEC",
b"\x89\xFF\x55\x8B\xEC",
b"\x55\x8B\xEC"
]
# these cover 80%+ of manually confirmed function starts in the reference data set
COMMON_PROLOGUES = {
"5": {
32: {
b"\x8B\xFF\x55\x8B\xEC": 5, # mov edi, edi, push ebp, mov ebp, esp
b"\x89\xFF\x55\x8B\xEC": 3, # mov edi, edi, push ebp, mov ebp, esp
},
64: {}
},
"3": {
32: {
b"\x55\x8B\xEC": 3, # push ebp, mov ebp, esp
},
64: {}
},
"2": {
32: {
b"\x8B\xFF": 3, # mov edi, edi
b"\xFF\x25": 3, # jmp dword ptr <addr>
b"\x33\xC0": 2, # xor eax, eax
b"\x83\xEC": 2, # sub esp, <byte>
b"\x8B\x44": 2, # mov eax, dword ptr <esp + byte>
b"\x81\xEC": 2, # sub esp, <byte>
b"\x8D\x4D": 2, # lea ecx, dword ptr <ebp/esp +- byte>
b"\x8D\x8D": 2, # lea ecx, dword ptr <ebp/esp +- byte>
b"\xFF\x74": 2, # push dword ptr <addr>
},
64: {}
},
"1": {
32: {
b"\x6a": 3, # push <const byte>
b"\x56": 3, # push esi
b"\x53": 2, # push ebx
b"\x51": 2, # push ecx
b"\x57": 2, # push edi
b"\xE8": 1, # call <offset>
b"\xc3": 1 # ret
},
64: {
b"\x40": 1, # x64 - push rxx
b"\x44": 1, # x64 - mov rxx, ptr
b"\x48": 1, # x64 - mov *, *
b"\x33": 1, # xor, eax, *
b"\x4c": 1, # x64 - mov reg, reg
b"\xb8": 1, # mov reg, const
b"\x8b": 1, # mov dword ptr, reg
b"\x89": 1, # mov dword ptr, reg
b"\x45": 1, # x64 - xor, reg, reg
b"\xc3": 1 # retn
}
}
}
#TODO: 2018-06-27 expand the coverage in this list
# https://stackoverflow.com/questions/25545470/long-multi-byte-nops-commonly-understood-macros-or-other-notation
GAP_SEQUENCES = {
1: [
"\x90", # NOP1_OVERRIDE_NOP - AMD / nop - INTEL
"\xCC" # int3
],
2: [
b"\x66\x90", # NOP2_OVERRIDE_NOP - AMD / nop - INTEL
b"\x8b\xc0",
b"\x8b\xff", # mov edi, edi
b"\x8d\x00", # lea eax, dword ptr [eax]
b"\x86\xc0", # xchg al, al
],
3: [
b"\x0f\x1f\x00", # NOP3_OVERRIDE_NOP - AMD / nop - INTEL
b"\x8d\x40\x00", # lea eax, dword ptr [eax]
b"\x8d\x00\x00", # lea eax, dword ptr [eax]
b"\x8d\x49\x00", # lea ecx, dword ptr [ecx]
b"\x8d\x64\x24", # lea esp, dword ptr [esp]
b"\x8d\x76\x00",
b"\x66\x66\x90"
],
4: [
b"\x0f\x1f\x40\x00", # NOP4_OVERRIDE_NOP - AMD / nop - INTEL
b"\x8d\x74\x26\x00",
b"\x66\x66\x66\x90"
],
5: [
b"\x0f\x1f\x44\x00\x00", # NOP5_OVERRIDE_NOP - AMD / nop - INTEL
b"\x90\x8d\x74\x26\x00"
],
6: [
b"\x66\x0f\x1f\x44\x00\x00", # NOP6_OVERRIDE_NOP - AMD / nop - INTEL
b"\x8d\xb6\x00\x00\x00\x00"
],
7: [
b"\x0f\x1f\x80\x00\x00\x00\x00", # NOP7_OVERRIDE_NOP - AMD / nop - INTEL,
b"\x8d\xb4\x26\x00\x00\x00\x00",
b"\x8D\xBC\x27\x00\x00\x00\x00"
],
8: [
b"\x0f\x1f\x84\x00\x00\x00\x00\x00", # NOP8_OVERRIDE_NOP - AMD / nop - INTEL
b"\x90\x8d\xb4\x26\x00\x00\x00\x00"
],
9: [
b"\x66\x0f\x1f\x84\x00\x00\x00\x00\x00", # NOP9_OVERRIDE_NOP - AMD / nop - INTEL
b"\x89\xf6\x8d\xbc\x27\x00\x00\x00\x00"
],
10: [
b"\x66\x66\x0f\x1f\x84\x00\x00\x00\x00\x00", # NOP10_OVERRIDE_NOP - AMD
b"\x8d\x76\x00\x8d\xbc\x27\x00\x00\x00\x00",
b"\x66\x2e\x0f\x1f\x84\x00\x00\x00\x00\x00"
],
11: [
b"\x66\x66\x66\x0f\x1f\x84\x00\x00\x00\x00\x00", # NOP11_OVERRIDE_NOP - AMD
b"\x8d\x74\x26\x00\x8d\xbc\x27\x00\x00\x00\x00",
b"\x66\x66\x2e\x0f\x1f\x84\x00\x00\x00\x00\x00"
],
12: [
b"\x8d\xb6\x00\x00\x00\x00\x8d\xbf\x00\x00\x00\x00",
b"\x66\x66\x66\x2e\x0f\x1f\x84\x00\x00\x00\x00\x00"
],
13: [
b"\x8d\xb6\x00\x00\x00\x00\x8d\xbc\x27\x00\x00\x00\x00",
b"\x66\x66\x66\x66\x2e\x0f\x1f\x84\x00\x00\x00\x00\x00"
],
14: [
b"\x8d\xb4\x26\x00\x00\x00\x00\x8d\xbc\x27\x00\x00\x00\x00",
b"\x66\x66\x66\x66\x66\x2e\x0f\x1f\x84\x00\x00\x00\x00\x00"
],
15: [
b"\x66\x66\x66\x66\x66\x66\x2e\x0f\x1f\x84\x00\x00\x00\x00\x00"
]
}
COMMON_START_BYTES = {
"32": {
"55": 8334,
"6a": 758,
"56": 756,
"51": 312,
"8d": 566,
"83": 558,
"53": 548
},
"64": {
"48": 1341,
"40": 349,
"4c": 59,
"33": 56,
"44": 18,
"45": 17,
"e9": 16
}
}
| cjmp_ins = ['je', 'jne', 'js', 'jns', 'jp', 'jnp', 'jo', 'jno', 'jl', 'jle', 'jg', 'jge', 'jb', 'jbe', 'ja', 'jae', 'jcxz', 'jecxz', 'jrcxz']
loop_ins = ['loop', 'loopne', 'loope']
jmp_ins = ['jmp', 'ljmp']
call_ins = ['call', 'lcall']
ret_ins = ['ret', 'retn', 'retf', 'iret']
end_ins = ['ret', 'retn', 'retf', 'iret', 'int3']
regs_32_bit = ['eax', 'ebx', 'ecx', 'edx', 'esi', 'edi', 'ebp', 'esp']
double_zero = bytearray(b'\x00\x00')
default_prologues = [b'\x8b\xffU\x8b\xec', b'\x89\xffU\x8b\xec', b'U\x8b\xec']
common_prologues = {'5': {32: {b'\x8b\xffU\x8b\xec': 5, b'\x89\xffU\x8b\xec': 3}, 64: {}}, '3': {32: {b'U\x8b\xec': 3}, 64: {}}, '2': {32: {b'\x8b\xff': 3, b'\xff%': 3, b'3\xc0': 2, b'\x83\xec': 2, b'\x8bD': 2, b'\x81\xec': 2, b'\x8dM': 2, b'\x8d\x8d': 2, b'\xfft': 2}, 64: {}}, '1': {32: {b'j': 3, b'V': 3, b'S': 2, b'Q': 2, b'W': 2, b'\xe8': 1, b'\xc3': 1}, 64: {b'@': 1, b'D': 1, b'H': 1, b'3': 1, b'L': 1, b'\xb8': 1, b'\x8b': 1, b'\x89': 1, b'E': 1, b'\xc3': 1}}}
gap_sequences = {1: ['\x90', 'Ì'], 2: [b'f\x90', b'\x8b\xc0', b'\x8b\xff', b'\x8d\x00', b'\x86\xc0'], 3: [b'\x0f\x1f\x00', b'\x8d@\x00', b'\x8d\x00\x00', b'\x8dI\x00', b'\x8dd$', b'\x8dv\x00', b'ff\x90'], 4: [b'\x0f\x1f@\x00', b'\x8dt&\x00', b'fff\x90'], 5: [b'\x0f\x1fD\x00\x00', b'\x90\x8dt&\x00'], 6: [b'f\x0f\x1fD\x00\x00', b'\x8d\xb6\x00\x00\x00\x00'], 7: [b'\x0f\x1f\x80\x00\x00\x00\x00', b'\x8d\xb4&\x00\x00\x00\x00', b"\x8d\xbc'\x00\x00\x00\x00"], 8: [b'\x0f\x1f\x84\x00\x00\x00\x00\x00', b'\x90\x8d\xb4&\x00\x00\x00\x00'], 9: [b'f\x0f\x1f\x84\x00\x00\x00\x00\x00', b"\x89\xf6\x8d\xbc'\x00\x00\x00\x00"], 10: [b'ff\x0f\x1f\x84\x00\x00\x00\x00\x00', b"\x8dv\x00\x8d\xbc'\x00\x00\x00\x00", b'f.\x0f\x1f\x84\x00\x00\x00\x00\x00'], 11: [b'fff\x0f\x1f\x84\x00\x00\x00\x00\x00', b"\x8dt&\x00\x8d\xbc'\x00\x00\x00\x00", b'ff.\x0f\x1f\x84\x00\x00\x00\x00\x00'], 12: [b'\x8d\xb6\x00\x00\x00\x00\x8d\xbf\x00\x00\x00\x00', b'fff.\x0f\x1f\x84\x00\x00\x00\x00\x00'], 13: [b"\x8d\xb6\x00\x00\x00\x00\x8d\xbc'\x00\x00\x00\x00", b'ffff.\x0f\x1f\x84\x00\x00\x00\x00\x00'], 14: [b"\x8d\xb4&\x00\x00\x00\x00\x8d\xbc'\x00\x00\x00\x00", b'fffff.\x0f\x1f\x84\x00\x00\x00\x00\x00'], 15: [b'ffffff.\x0f\x1f\x84\x00\x00\x00\x00\x00']}
common_start_bytes = {'32': {'55': 8334, '6a': 758, '56': 756, '51': 312, '8d': 566, '83': 558, '53': 548}, '64': {'48': 1341, '40': 349, '4c': 59, '33': 56, '44': 18, '45': 17, 'e9': 16}} |
def main():
# input
N = int(input())
# compute
N = int(1.08*N)
# output
if N < 206:
print('Yay!')
elif N == 206:
print('so-so')
else:
print(':(')
if __name__ == '__main__':
main()
| def main():
n = int(input())
n = int(1.08 * N)
if N < 206:
print('Yay!')
elif N == 206:
print('so-so')
else:
print(':(')
if __name__ == '__main__':
main() |
# -*- coding: utf-8 -*-
strings = {
'test.fallback': 'A fallback string'
}
| strings = {'test.fallback': 'A fallback string'} |
def climb_stairs2(n: int) -> int:
if n == 1 or n == 2:
return n
n1 = 1
n2 = 2
t = 0
for i in range(3, n + 1):
t = n1 + n2
n1 = n2
n2 = t
return t
class StairClimber:
# total variable needed for the recursive solution
total = 0
# recursive, mathy way that's slow for sufficiently big numbers
def climb_stairs(self, n: int) -> int:
if n == 0:
self.total += 1
if n >= 1:
self.climb_stairs(n - 1)
if n >= 2:
self.climb_stairs(n - 2)
return self.total
# standard, boring dynamic programming way
print(climb_stairs2(3))
print(climb_stairs2(38))
| def climb_stairs2(n: int) -> int:
if n == 1 or n == 2:
return n
n1 = 1
n2 = 2
t = 0
for i in range(3, n + 1):
t = n1 + n2
n1 = n2
n2 = t
return t
class Stairclimber:
total = 0
def climb_stairs(self, n: int) -> int:
if n == 0:
self.total += 1
if n >= 1:
self.climb_stairs(n - 1)
if n >= 2:
self.climb_stairs(n - 2)
return self.total
print(climb_stairs2(3))
print(climb_stairs2(38)) |
#!usr/bin/python
# -*- coding:utf8 -*-
def gen_func():
try:
yield "http://projectesdu.com"
except GeneratorExit:
pass
yield 2
yield 3
return "bobby"
if __name__ == "__main__":
gen = gen_func()
next(gen)
gen.close()
next(gen)
| def gen_func():
try:
yield 'http://projectesdu.com'
except GeneratorExit:
pass
yield 2
yield 3
return 'bobby'
if __name__ == '__main__':
gen = gen_func()
next(gen)
gen.close()
next(gen) |
list_images = [
".jpeg",".jpg",".png",".gif",".webp",".tiff",".psd",".raw",".bmp",".heif",".indd",".svg",".ico"
]
list_documents = [
".doc",".txt",".pdf",".xlsx",".docx",".xls",".rtf",".md",".ods",".ppt",".pptx"
]
list_videos = [
".mp4",".m4v",".f4v",".f4a",".m4b",".m4r",".f4b",".mov",".3gp",
".3gp2",".3g2",".3gpp",".3gpp2",".ogg",".oga",".ogv",".ogx",".wmv",
".asf*",".webm",".flv",".avi",".QuickTime",".HDV",".OP1a",".OP-Atom",".MPEG-TS",".wav",".lxf",".gxf"
]
list_audio = [
".mp3",".wav",".m4a",".aac",".he-aac",".ac3",".eac3",".vorbis",".wma",".pcm"
]
list_applications = [
".exe",".lnk"
]
list_codes = [
".c",".py",".java",".cpp",".js",".html",".css",".php"
]
list_archives = [
".zip",".7-zip",".7z",".bz2",".gz",".rar",".tar"
]
extensions = {
"Images" : list_images,
"Documents" : list_documents,
"Videos" : list_videos,
"Audio" : list_audio,
"Applications" : list_applications,
"Code" : list_codes,
"Archives" : list_archives
} | list_images = ['.jpeg', '.jpg', '.png', '.gif', '.webp', '.tiff', '.psd', '.raw', '.bmp', '.heif', '.indd', '.svg', '.ico']
list_documents = ['.doc', '.txt', '.pdf', '.xlsx', '.docx', '.xls', '.rtf', '.md', '.ods', '.ppt', '.pptx']
list_videos = ['.mp4', '.m4v', '.f4v', '.f4a', '.m4b', '.m4r', '.f4b', '.mov', '.3gp', '.3gp2', '.3g2', '.3gpp', '.3gpp2', '.ogg', '.oga', '.ogv', '.ogx', '.wmv', '.asf*', '.webm', '.flv', '.avi', '.QuickTime', '.HDV', '.OP1a', '.OP-Atom', '.MPEG-TS', '.wav', '.lxf', '.gxf']
list_audio = ['.mp3', '.wav', '.m4a', '.aac', '.he-aac', '.ac3', '.eac3', '.vorbis', '.wma', '.pcm']
list_applications = ['.exe', '.lnk']
list_codes = ['.c', '.py', '.java', '.cpp', '.js', '.html', '.css', '.php']
list_archives = ['.zip', '.7-zip', '.7z', '.bz2', '.gz', '.rar', '.tar']
extensions = {'Images': list_images, 'Documents': list_documents, 'Videos': list_videos, 'Audio': list_audio, 'Applications': list_applications, 'Code': list_codes, 'Archives': list_archives} |
# Least Common Multiple (LCM) Calculator - Burak Karabey
def LCM(x, y):
if x > y:
limit = x
else:
limit = y
prime_numbers = [] # Start of Finding Prime Number
if limit < 2:
return prime_numbers.append(0)
elif limit == 2:
return prime_numbers.append(2)
else:
prime_numbers.append(2)
for t in range(3, limit):
find_prime = False
for r in range(2, t):
if t % r == 0:
find_prime = True
break
if not find_prime:
prime_numbers.append(t)
prime_numbers.sort() # End of Finding Prime Number
i = 0
least_common_multiple = 1
while x != 1 or y != 1:
if x % prime_numbers[i] == 0 or y % prime_numbers[i] == 0:
least_common_multiple = least_common_multiple * prime_numbers[i]
if x % prime_numbers[i] == 0:
x = x / prime_numbers[i]
if y % prime_numbers[i] == 0:
y = y / prime_numbers[i]
else:
i += 1
return print("LCM=", least_common_multiple)
# USAGE
LCM(12,15)
| def lcm(x, y):
if x > y:
limit = x
else:
limit = y
prime_numbers = []
if limit < 2:
return prime_numbers.append(0)
elif limit == 2:
return prime_numbers.append(2)
else:
prime_numbers.append(2)
for t in range(3, limit):
find_prime = False
for r in range(2, t):
if t % r == 0:
find_prime = True
break
if not find_prime:
prime_numbers.append(t)
prime_numbers.sort()
i = 0
least_common_multiple = 1
while x != 1 or y != 1:
if x % prime_numbers[i] == 0 or y % prime_numbers[i] == 0:
least_common_multiple = least_common_multiple * prime_numbers[i]
if x % prime_numbers[i] == 0:
x = x / prime_numbers[i]
if y % prime_numbers[i] == 0:
y = y / prime_numbers[i]
else:
i += 1
return print('LCM=', least_common_multiple)
lcm(12, 15) |
def is_prime(n):
if n <= 1:
return False
elif n <= 3:
return True
elif n % 2 == 0 or n % 3 == 0:
return False
i = 5
while i * i <= n:
if n % i == 0 or n % (i + 2) == 0:
return False
i += 6
return True
T = int(input())
for _ in range(T):
if is_prime(int(input())):
print("Prime")
else:
print("Not prime")
| def is_prime(n):
if n <= 1:
return False
elif n <= 3:
return True
elif n % 2 == 0 or n % 3 == 0:
return False
i = 5
while i * i <= n:
if n % i == 0 or n % (i + 2) == 0:
return False
i += 6
return True
t = int(input())
for _ in range(T):
if is_prime(int(input())):
print('Prime')
else:
print('Not prime') |
#!/usr/bin/env python3
sum=0
a=1
while a<=100:
sum +=a
a+=1
print(sum)
| sum = 0
a = 1
while a <= 100:
sum += a
a += 1
print(sum) |
class PositionedObjectError(Exception):
def __init__(self, *args):
super().__init__(*args)
class RelativePositionNotSettableError(PositionedObjectError):
pass
class RelativeXNotSettableError(RelativePositionNotSettableError):
pass
class RelativeYNotSettableError(RelativePositionNotSettableError):
pass
class Positioned(object):
def __init__(self, relative_x=None, relative_y=None, *args, **kwargs):
self._relative_x = None
self._relative_y = None
self.relative_x = relative_x
self.relative_y = relative_y
super().__init__(*args, **kwargs)
@property
def relative_x(self):
if self._relative_x is None:
return 0
return self._relative_x
@relative_x.setter
def relative_x(self, val):
self._relative_x = val
@property
def relative_y(self):
if self._relative_y is None:
return 0
return self._relative_y
@relative_y.setter
def relative_y(self, val):
self._relative_y = val
| class Positionedobjecterror(Exception):
def __init__(self, *args):
super().__init__(*args)
class Relativepositionnotsettableerror(PositionedObjectError):
pass
class Relativexnotsettableerror(RelativePositionNotSettableError):
pass
class Relativeynotsettableerror(RelativePositionNotSettableError):
pass
class Positioned(object):
def __init__(self, relative_x=None, relative_y=None, *args, **kwargs):
self._relative_x = None
self._relative_y = None
self.relative_x = relative_x
self.relative_y = relative_y
super().__init__(*args, **kwargs)
@property
def relative_x(self):
if self._relative_x is None:
return 0
return self._relative_x
@relative_x.setter
def relative_x(self, val):
self._relative_x = val
@property
def relative_y(self):
if self._relative_y is None:
return 0
return self._relative_y
@relative_y.setter
def relative_y(self, val):
self._relative_y = val |
# Image types
INTENSITY = 'intensity'
LABEL = 'label'
SAMPLING_MAP = 'sampling_map'
# Keys for dataset samples
PATH = 'path'
TYPE = 'type'
STEM = 'stem'
DATA = 'data'
AFFINE = 'affine'
# For aggregator
IMAGE = 'image'
LOCATION = 'location'
# In PyTorch convention
CHANNELS_DIMENSION = 1
# Code repository
REPO_URL = 'https://github.com/fepegar/torchio/'
# Data repository
DATA_REPO = 'https://github.com/fepegar/torchio-data/raw/master/data/'
| intensity = 'intensity'
label = 'label'
sampling_map = 'sampling_map'
path = 'path'
type = 'type'
stem = 'stem'
data = 'data'
affine = 'affine'
image = 'image'
location = 'location'
channels_dimension = 1
repo_url = 'https://github.com/fepegar/torchio/'
data_repo = 'https://github.com/fepegar/torchio-data/raw/master/data/' |
#!/usr/local/bin/python3
# Copyright 2019 NineFx Inc.
# Justin Baum
# 3 June 2019
# Precis Code-Generator ReasonML
# https://github.com/NineFX/smeagol/blob/master/spec/code_gen/precis_cp.txt
fp = open('precis_cp.txt', 'r')
ranges = []
line = fp.readline()
code = "DISALLOWED"
prev = "DISALLOWED"
firstOccurence = 0
count = 0
while line:
count += 1
line = fp.readline()
if len(line) < 2: break
linesplit = line.split(";")
codepoint = int(linesplit[0])
code = linesplit[1][:-1]
if code != prev:
ranges.append([firstOccurence, codepoint - 1, prev])
firstOccurence = count
prev = code
ranges.append([firstOccurence, count, code])
# Binary Tree
def splitHalf(listy):
if(len(listy) <= 2):
print("switch (point) { ")
for item in listy:
print("| point when (point >= " + str(item[0]) + ") && (point <= " + str(item[1]) + ") =>" + item[2])
print("| _point => DISALLOWED")
print("}")
return
splitValue = listy[len(listy)//2]
firstHalf = listy[:(len(listy))//2]
secondHalf = listy[(len(listy))//2:]
print("if (point < "+str(splitValue[0]) +")")
print("{")
splitHalf(firstHalf)
print("} else {")
splitHalf(secondHalf)
print("}")
splitHalf(ranges) | fp = open('precis_cp.txt', 'r')
ranges = []
line = fp.readline()
code = 'DISALLOWED'
prev = 'DISALLOWED'
first_occurence = 0
count = 0
while line:
count += 1
line = fp.readline()
if len(line) < 2:
break
linesplit = line.split(';')
codepoint = int(linesplit[0])
code = linesplit[1][:-1]
if code != prev:
ranges.append([firstOccurence, codepoint - 1, prev])
first_occurence = count
prev = code
ranges.append([firstOccurence, count, code])
def split_half(listy):
if len(listy) <= 2:
print('switch (point) { ')
for item in listy:
print('| point when (point >= ' + str(item[0]) + ') && (point <= ' + str(item[1]) + ') =>' + item[2])
print('| _point => DISALLOWED')
print('}')
return
split_value = listy[len(listy) // 2]
first_half = listy[:len(listy) // 2]
second_half = listy[len(listy) // 2:]
print('if (point < ' + str(splitValue[0]) + ')')
print('{')
split_half(firstHalf)
print('} else {')
split_half(secondHalf)
print('}')
split_half(ranges) |
# https://leetcode.com/problems/unique-morse-code-words/
class Solution:
def uniqueMorseRepresentations(self, words: List[str]) -> int:
dictx = {"a": ".-", "b": "-...", "c": "-.-.", "d": "-..", "e": ".", "f": "..-.", "g": "--.",
"h": "....", "i": "..", "j": ".---", "k": "-.-", "l": ".-..", "m": "--", "n": "-.", "o": "---",
"p": ".--.", "q": "--.-", "r": ".-.", "s": "...", "t": "-", "u": "..-", "v": "...-",
"w": ".--", "x": "-..-", "y": "-.--", "z": "--.."}
keys = {}
for each in words:
res = ""
for i in range(0, len(each)):
res += dictx[each[i]]
if res in keys:
keys[res] += 1
else:
keys[res] = 1
return len(keys.values())
| class Solution:
def unique_morse_representations(self, words: List[str]) -> int:
dictx = {'a': '.-', 'b': '-...', 'c': '-.-.', 'd': '-..', 'e': '.', 'f': '..-.', 'g': '--.', 'h': '....', 'i': '..', 'j': '.---', 'k': '-.-', 'l': '.-..', 'm': '--', 'n': '-.', 'o': '---', 'p': '.--.', 'q': '--.-', 'r': '.-.', 's': '...', 't': '-', 'u': '..-', 'v': '...-', 'w': '.--', 'x': '-..-', 'y': '-.--', 'z': '--..'}
keys = {}
for each in words:
res = ''
for i in range(0, len(each)):
res += dictx[each[i]]
if res in keys:
keys[res] += 1
else:
keys[res] = 1
return len(keys.values()) |
class BadBatchRequestException(Exception):
def __init__(self, org, repo, message=None):
super()
self.org = org
self.repo = repo
self.message = message
class UnknownBatchOperationException(Exception):
def __init__(self, org, repo, operation, message=None):
super()
self.org = org
self.repo = repo
self.operation = operation
class StorageException(Exception):
def __init__(self, org, repo, oid, operation, message=None):
super()
self.org = org
self.repo = repo
self.oid = oid
self.operation = operation
self.message = message
class AuthException(Exception):
def __init__(self, message=None):
self.message = message
| class Badbatchrequestexception(Exception):
def __init__(self, org, repo, message=None):
super()
self.org = org
self.repo = repo
self.message = message
class Unknownbatchoperationexception(Exception):
def __init__(self, org, repo, operation, message=None):
super()
self.org = org
self.repo = repo
self.operation = operation
class Storageexception(Exception):
def __init__(self, org, repo, oid, operation, message=None):
super()
self.org = org
self.repo = repo
self.oid = oid
self.operation = operation
self.message = message
class Authexception(Exception):
def __init__(self, message=None):
self.message = message |
class Agent:
def __init__(self, name):
self.name = name
def reset(self, state):
# Completely resets the state of the Agent for a new game
return
def make_action(self, state):
# Returns a valid move in (row, column) format where 0 <= row, column < board_len
move = (0, 0)
return move
def update_state(self, move):
# Update the internal state of an agent according to the move made by the opponent (if necessary)
return
@staticmethod
def get_params():
# Get agent parameters from command line input and return in tuple form
return ()
| class Agent:
def __init__(self, name):
self.name = name
def reset(self, state):
return
def make_action(self, state):
move = (0, 0)
return move
def update_state(self, move):
return
@staticmethod
def get_params():
return () |
#
# PySNMP MIB module ONEACCESS-SYS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ONEACCESS-SYS-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:25:27 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection")
oacExpIMSystem, oacMIBModules = mibBuilder.importSymbols("ONEACCESS-GLOBAL-REG", "oacExpIMSystem", "oacMIBModules")
ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup")
Bits, IpAddress, Gauge32, Integer32, TimeTicks, MibIdentifier, Unsigned32, Counter32, Counter64, iso, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "IpAddress", "Gauge32", "Integer32", "TimeTicks", "MibIdentifier", "Unsigned32", "Counter32", "Counter64", "iso", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "NotificationType")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
oacSysMIBModule = ModuleIdentity((1, 3, 6, 1, 4, 1, 13191, 1, 100, 671))
oacSysMIBModule.setRevisions(('2014-05-05 00:01', '2011-06-15 00:00', '2010-12-14 00:01', '2010-08-11 10:00', '2010-07-08 10:00',))
if mibBuilder.loadTexts: oacSysMIBModule.setLastUpdated('201405050001Z')
if mibBuilder.loadTexts: oacSysMIBModule.setOrganization(' OneAccess ')
class OASysHwcClass(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2))
namedValues = NamedValues(("board", 0), ("cpu", 1), ("slot", 2))
class OASysHwcType(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6))
namedValues = NamedValues(("mainboard", 0), ("microprocessor", 1), ("ram", 2), ("flash", 3), ("dsp", 4), ("uplink", 5), ("module", 6))
class OASysCoreType(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3))
namedValues = NamedValues(("controlplane", 0), ("dataforwarding", 1), ("application", 2), ("mixed", 3))
oacExpIMSysStatistics = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1))
oacExpIMSysHardwareDescription = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2))
oacSysMemStatistics = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1))
oacSysCpuStatistics = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2))
oacSysSecureCrashlogCount = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 100), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysSecureCrashlogCount.setStatus('current')
oacSysStartCaused = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 200), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysStartCaused.setStatus('current')
oacSysIMSysMainBoard = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1))
oacExpIMSysHwComponents = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2))
oacExpIMSysFactory = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3))
oacSysIMSysMainIdentifier = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 1), ObjectIdentifier()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainIdentifier.setStatus('current')
oacSysIMSysMainManufacturedIdentity = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainManufacturedIdentity.setStatus('current')
oacSysIMSysMainManufacturedDate = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainManufacturedDate.setStatus('current')
oacSysIMSysMainCPU = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainCPU.setStatus('current')
oacSysIMSysMainBSPVersion = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainBSPVersion.setStatus('current')
oacSysIMSysMainBootVersion = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainBootVersion.setStatus('current')
oacSysIMSysMainBootDateCreation = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysIMSysMainBootDateCreation.setStatus('current')
oacSysMemoryFree = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 1), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysMemoryFree.setStatus('current')
oacSysMemoryAllocated = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 2), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysMemoryAllocated.setStatus('current')
oacSysMemoryTotal = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 3), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysMemoryTotal.setStatus('current')
oacSysMemoryUsed = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 4), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysMemoryUsed.setStatus('current')
oacSysCpuUsed = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 1), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysCpuUsed.setStatus('current')
oacSysCpuUsedCoresCount = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 2), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysCpuUsedCoresCount.setStatus('current')
oacSysCpuUsedCoresTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3), )
if mibBuilder.loadTexts: oacSysCpuUsedCoresTable.setStatus('current')
oacSysCpuUsedCoresEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1), ).setIndexNames((0, "ONEACCESS-SYS-MIB", "oacSysCpuUsedIndex"))
if mibBuilder.loadTexts: oacSysCpuUsedCoresEntry.setStatus('current')
oacSysCpuUsedIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 1), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysCpuUsedIndex.setStatus('current')
oacSysCpuUsedCoreType = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 2), OASysCoreType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysCpuUsedCoreType.setStatus('current')
oacSysCpuUsedValue = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 3), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysCpuUsedValue.setStatus('current')
oacSysCpuUsedOneMinuteValue = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 4), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysCpuUsedOneMinuteValue.setStatus('current')
oacSysLastRebootCause = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 3), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSysLastRebootCause.setStatus('current')
oacExpIMSysHwComponentsCount = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 1), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwComponentsCount.setStatus('current')
oacExpIMSysHwComponentsTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2), )
if mibBuilder.loadTexts: oacExpIMSysHwComponentsTable.setStatus('current')
oacExpIMSysHwComponentsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1), ).setIndexNames((0, "ONEACCESS-SYS-MIB", "oacExpIMSysHwcIndex"))
if mibBuilder.loadTexts: oacExpIMSysHwComponentsEntry.setStatus('current')
oacExpIMSysHwcIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 1), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcIndex.setStatus('current')
oacExpIMSysHwcClass = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 2), OASysHwcClass()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcClass.setStatus('current')
oacExpIMSysHwcType = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 3), OASysHwcType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcType.setStatus('current')
oacExpIMSysHwcDescription = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 4), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcDescription.setStatus('current')
oacExpIMSysHwcSerialNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 5), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcSerialNumber.setStatus('current')
oacExpIMSysHwcManufacturer = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 6), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcManufacturer.setStatus('current')
oacExpIMSysHwcManufacturedDate = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 10))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcManufacturedDate.setStatus('current')
oacExpIMSysHwcProductName = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysHwcProductName.setStatus('current')
oacExpIMSysFactorySupplierID = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 14))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysFactorySupplierID.setStatus('current')
oacExpIMSysFactoryProductSalesCode = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 22))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysFactoryProductSalesCode.setStatus('current')
oacExpIMSysFactoryHwRevision = MibScalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(2, 7))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacExpIMSysFactoryHwRevision.setStatus('current')
mibBuilder.exportSymbols("ONEACCESS-SYS-MIB", oacSysCpuUsed=oacSysCpuUsed, oacSysCpuUsedValue=oacSysCpuUsedValue, OASysCoreType=OASysCoreType, oacSysCpuUsedIndex=oacSysCpuUsedIndex, oacExpIMSysHwcManufacturedDate=oacExpIMSysHwcManufacturedDate, oacSysCpuUsedOneMinuteValue=oacSysCpuUsedOneMinuteValue, oacSysIMSysMainIdentifier=oacSysIMSysMainIdentifier, oacSysCpuUsedCoresEntry=oacSysCpuUsedCoresEntry, oacSysCpuStatistics=oacSysCpuStatistics, oacExpIMSysFactorySupplierID=oacExpIMSysFactorySupplierID, OASysHwcClass=OASysHwcClass, oacSysIMSysMainCPU=oacSysIMSysMainCPU, oacExpIMSysHwcProductName=oacExpIMSysHwcProductName, oacExpIMSysStatistics=oacExpIMSysStatistics, oacSysMemoryFree=oacSysMemoryFree, oacSysMIBModule=oacSysMIBModule, oacSysMemoryAllocated=oacSysMemoryAllocated, oacSysMemStatistics=oacSysMemStatistics, oacExpIMSysHwcSerialNumber=oacExpIMSysHwcSerialNumber, oacSysMemoryUsed=oacSysMemoryUsed, oacExpIMSysHwComponentsTable=oacExpIMSysHwComponentsTable, oacSysMemoryTotal=oacSysMemoryTotal, oacSysCpuUsedCoresTable=oacSysCpuUsedCoresTable, oacExpIMSysHardwareDescription=oacExpIMSysHardwareDescription, oacSysIMSysMainManufacturedIdentity=oacSysIMSysMainManufacturedIdentity, oacSysIMSysMainBoard=oacSysIMSysMainBoard, oacSysIMSysMainBootDateCreation=oacSysIMSysMainBootDateCreation, oacExpIMSysHwcDescription=oacExpIMSysHwcDescription, oacSysIMSysMainBootVersion=oacSysIMSysMainBootVersion, oacExpIMSysHwcClass=oacExpIMSysHwcClass, PYSNMP_MODULE_ID=oacSysMIBModule, oacSysCpuUsedCoreType=oacSysCpuUsedCoreType, oacExpIMSysHwComponentsCount=oacExpIMSysHwComponentsCount, oacExpIMSysFactoryProductSalesCode=oacExpIMSysFactoryProductSalesCode, oacSysIMSysMainBSPVersion=oacSysIMSysMainBSPVersion, oacSysStartCaused=oacSysStartCaused, oacExpIMSysHwComponents=oacExpIMSysHwComponents, oacExpIMSysFactory=oacExpIMSysFactory, oacSysIMSysMainManufacturedDate=oacSysIMSysMainManufacturedDate, oacSysCpuUsedCoresCount=oacSysCpuUsedCoresCount, oacExpIMSysHwcIndex=oacExpIMSysHwcIndex, OASysHwcType=OASysHwcType, oacSysLastRebootCause=oacSysLastRebootCause, oacExpIMSysFactoryHwRevision=oacExpIMSysFactoryHwRevision, oacExpIMSysHwComponentsEntry=oacExpIMSysHwComponentsEntry, oacExpIMSysHwcType=oacExpIMSysHwcType, oacExpIMSysHwcManufacturer=oacExpIMSysHwcManufacturer, oacSysSecureCrashlogCount=oacSysSecureCrashlogCount)
| (object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, single_value_constraint, constraints_union, value_size_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsUnion', 'ValueSizeConstraint', 'ConstraintsIntersection')
(oac_exp_im_system, oac_mib_modules) = mibBuilder.importSymbols('ONEACCESS-GLOBAL-REG', 'oacExpIMSystem', 'oacMIBModules')
(module_compliance, object_group, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'ObjectGroup', 'NotificationGroup')
(bits, ip_address, gauge32, integer32, time_ticks, mib_identifier, unsigned32, counter32, counter64, iso, module_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, notification_type) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'IpAddress', 'Gauge32', 'Integer32', 'TimeTicks', 'MibIdentifier', 'Unsigned32', 'Counter32', 'Counter64', 'iso', 'ModuleIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'NotificationType')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
oac_sys_mib_module = module_identity((1, 3, 6, 1, 4, 1, 13191, 1, 100, 671))
oacSysMIBModule.setRevisions(('2014-05-05 00:01', '2011-06-15 00:00', '2010-12-14 00:01', '2010-08-11 10:00', '2010-07-08 10:00'))
if mibBuilder.loadTexts:
oacSysMIBModule.setLastUpdated('201405050001Z')
if mibBuilder.loadTexts:
oacSysMIBModule.setOrganization(' OneAccess ')
class Oasyshwcclass(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2))
named_values = named_values(('board', 0), ('cpu', 1), ('slot', 2))
class Oasyshwctype(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2, 3, 4, 5, 6))
named_values = named_values(('mainboard', 0), ('microprocessor', 1), ('ram', 2), ('flash', 3), ('dsp', 4), ('uplink', 5), ('module', 6))
class Oasyscoretype(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2, 3))
named_values = named_values(('controlplane', 0), ('dataforwarding', 1), ('application', 2), ('mixed', 3))
oac_exp_im_sys_statistics = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1))
oac_exp_im_sys_hardware_description = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2))
oac_sys_mem_statistics = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1))
oac_sys_cpu_statistics = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2))
oac_sys_secure_crashlog_count = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 100), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysSecureCrashlogCount.setStatus('current')
oac_sys_start_caused = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 200), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysStartCaused.setStatus('current')
oac_sys_im_sys_main_board = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1))
oac_exp_im_sys_hw_components = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2))
oac_exp_im_sys_factory = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3))
oac_sys_im_sys_main_identifier = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 1), object_identifier()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainIdentifier.setStatus('current')
oac_sys_im_sys_main_manufactured_identity = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainManufacturedIdentity.setStatus('current')
oac_sys_im_sys_main_manufactured_date = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainManufacturedDate.setStatus('current')
oac_sys_im_sys_main_cpu = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 4), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainCPU.setStatus('current')
oac_sys_im_sys_main_bsp_version = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 5), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainBSPVersion.setStatus('current')
oac_sys_im_sys_main_boot_version = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 6), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainBootVersion.setStatus('current')
oac_sys_im_sys_main_boot_date_creation = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 1, 7), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysIMSysMainBootDateCreation.setStatus('current')
oac_sys_memory_free = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 1), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysMemoryFree.setStatus('current')
oac_sys_memory_allocated = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 2), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysMemoryAllocated.setStatus('current')
oac_sys_memory_total = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 3), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysMemoryTotal.setStatus('current')
oac_sys_memory_used = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 1, 4), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysMemoryUsed.setStatus('current')
oac_sys_cpu_used = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 1), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysCpuUsed.setStatus('current')
oac_sys_cpu_used_cores_count = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 2), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysCpuUsedCoresCount.setStatus('current')
oac_sys_cpu_used_cores_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3))
if mibBuilder.loadTexts:
oacSysCpuUsedCoresTable.setStatus('current')
oac_sys_cpu_used_cores_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1)).setIndexNames((0, 'ONEACCESS-SYS-MIB', 'oacSysCpuUsedIndex'))
if mibBuilder.loadTexts:
oacSysCpuUsedCoresEntry.setStatus('current')
oac_sys_cpu_used_index = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 1), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysCpuUsedIndex.setStatus('current')
oac_sys_cpu_used_core_type = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 2), oa_sys_core_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysCpuUsedCoreType.setStatus('current')
oac_sys_cpu_used_value = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 3), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysCpuUsedValue.setStatus('current')
oac_sys_cpu_used_one_minute_value = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 2, 3, 1, 4), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysCpuUsedOneMinuteValue.setStatus('current')
oac_sys_last_reboot_cause = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 1, 3), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacSysLastRebootCause.setStatus('current')
oac_exp_im_sys_hw_components_count = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 1), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwComponentsCount.setStatus('current')
oac_exp_im_sys_hw_components_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2))
if mibBuilder.loadTexts:
oacExpIMSysHwComponentsTable.setStatus('current')
oac_exp_im_sys_hw_components_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1)).setIndexNames((0, 'ONEACCESS-SYS-MIB', 'oacExpIMSysHwcIndex'))
if mibBuilder.loadTexts:
oacExpIMSysHwComponentsEntry.setStatus('current')
oac_exp_im_sys_hwc_index = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 1), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcIndex.setStatus('current')
oac_exp_im_sys_hwc_class = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 2), oa_sys_hwc_class()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcClass.setStatus('current')
oac_exp_im_sys_hwc_type = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 3), oa_sys_hwc_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcType.setStatus('current')
oac_exp_im_sys_hwc_description = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 4), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcDescription.setStatus('current')
oac_exp_im_sys_hwc_serial_number = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 5), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcSerialNumber.setStatus('current')
oac_exp_im_sys_hwc_manufacturer = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 6), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcManufacturer.setStatus('current')
oac_exp_im_sys_hwc_manufactured_date = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 7), display_string().subtype(subtypeSpec=value_size_constraint(0, 10))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcManufacturedDate.setStatus('current')
oac_exp_im_sys_hwc_product_name = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 2, 2, 1, 8), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysHwcProductName.setStatus('current')
oac_exp_im_sys_factory_supplier_id = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3, 1), display_string().subtype(subtypeSpec=value_size_constraint(0, 14))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysFactorySupplierID.setStatus('current')
oac_exp_im_sys_factory_product_sales_code = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 22))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysFactoryProductSalesCode.setStatus('current')
oac_exp_im_sys_factory_hw_revision = mib_scalar((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 2, 3, 3), display_string().subtype(subtypeSpec=value_size_constraint(2, 7))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
oacExpIMSysFactoryHwRevision.setStatus('current')
mibBuilder.exportSymbols('ONEACCESS-SYS-MIB', oacSysCpuUsed=oacSysCpuUsed, oacSysCpuUsedValue=oacSysCpuUsedValue, OASysCoreType=OASysCoreType, oacSysCpuUsedIndex=oacSysCpuUsedIndex, oacExpIMSysHwcManufacturedDate=oacExpIMSysHwcManufacturedDate, oacSysCpuUsedOneMinuteValue=oacSysCpuUsedOneMinuteValue, oacSysIMSysMainIdentifier=oacSysIMSysMainIdentifier, oacSysCpuUsedCoresEntry=oacSysCpuUsedCoresEntry, oacSysCpuStatistics=oacSysCpuStatistics, oacExpIMSysFactorySupplierID=oacExpIMSysFactorySupplierID, OASysHwcClass=OASysHwcClass, oacSysIMSysMainCPU=oacSysIMSysMainCPU, oacExpIMSysHwcProductName=oacExpIMSysHwcProductName, oacExpIMSysStatistics=oacExpIMSysStatistics, oacSysMemoryFree=oacSysMemoryFree, oacSysMIBModule=oacSysMIBModule, oacSysMemoryAllocated=oacSysMemoryAllocated, oacSysMemStatistics=oacSysMemStatistics, oacExpIMSysHwcSerialNumber=oacExpIMSysHwcSerialNumber, oacSysMemoryUsed=oacSysMemoryUsed, oacExpIMSysHwComponentsTable=oacExpIMSysHwComponentsTable, oacSysMemoryTotal=oacSysMemoryTotal, oacSysCpuUsedCoresTable=oacSysCpuUsedCoresTable, oacExpIMSysHardwareDescription=oacExpIMSysHardwareDescription, oacSysIMSysMainManufacturedIdentity=oacSysIMSysMainManufacturedIdentity, oacSysIMSysMainBoard=oacSysIMSysMainBoard, oacSysIMSysMainBootDateCreation=oacSysIMSysMainBootDateCreation, oacExpIMSysHwcDescription=oacExpIMSysHwcDescription, oacSysIMSysMainBootVersion=oacSysIMSysMainBootVersion, oacExpIMSysHwcClass=oacExpIMSysHwcClass, PYSNMP_MODULE_ID=oacSysMIBModule, oacSysCpuUsedCoreType=oacSysCpuUsedCoreType, oacExpIMSysHwComponentsCount=oacExpIMSysHwComponentsCount, oacExpIMSysFactoryProductSalesCode=oacExpIMSysFactoryProductSalesCode, oacSysIMSysMainBSPVersion=oacSysIMSysMainBSPVersion, oacSysStartCaused=oacSysStartCaused, oacExpIMSysHwComponents=oacExpIMSysHwComponents, oacExpIMSysFactory=oacExpIMSysFactory, oacSysIMSysMainManufacturedDate=oacSysIMSysMainManufacturedDate, oacSysCpuUsedCoresCount=oacSysCpuUsedCoresCount, oacExpIMSysHwcIndex=oacExpIMSysHwcIndex, OASysHwcType=OASysHwcType, oacSysLastRebootCause=oacSysLastRebootCause, oacExpIMSysFactoryHwRevision=oacExpIMSysFactoryHwRevision, oacExpIMSysHwComponentsEntry=oacExpIMSysHwComponentsEntry, oacExpIMSysHwcType=oacExpIMSysHwcType, oacExpIMSysHwcManufacturer=oacExpIMSysHwcManufacturer, oacSysSecureCrashlogCount=oacSysSecureCrashlogCount) |
TOKEN = b'd4r3d3v!l'
def chall():
s = Sign()
while True:
choice = input("> ").rstrip()
if choice == 'P':
print("\nN : {}".format(hex(s.n)))
print("\ne : {}".format(hex(s.e)))
elif choice == 'S':
try:
msg = bytes.fromhex(input('msg to sign : '))
if TOKEN in msg:
print('[!] NOT ALLOWED')
else:
m = bytes_to_long(msg)
print("\nsignature : {}".format(hex(s.sign(m)))) #pow(msg,d,n)
print('\n')
except:
print('\n[!] ERROR (invalid input)')
elif choice == 'V':
try:
msg = bytes.fromhex(input("msg : "))
m = bytes_to_long(msg)
signature = int(input("signature : "),16)
if m < 0 or m > s.n:
print('[!] ERROR')
if s.verify(m, signature): #pow(sign, e, n) == msg
if long_to_bytes(m) == TOKEN:
print(SECRET)
else:
print('\n[+] Valid signature')
else:
print('\n[!]Invalid signature')
except:
print('\n[!] ERROR(invalid input)')
elif choice == 'Q':
print('OK BYE :)')
exit(0)
else:
print('\n[*] SEE OPTIONS')
| token = b'd4r3d3v!l'
def chall():
s = sign()
while True:
choice = input('> ').rstrip()
if choice == 'P':
print('\nN : {}'.format(hex(s.n)))
print('\ne : {}'.format(hex(s.e)))
elif choice == 'S':
try:
msg = bytes.fromhex(input('msg to sign : '))
if TOKEN in msg:
print('[!] NOT ALLOWED')
else:
m = bytes_to_long(msg)
print('\nsignature : {}'.format(hex(s.sign(m))))
print('\n')
except:
print('\n[!] ERROR (invalid input)')
elif choice == 'V':
try:
msg = bytes.fromhex(input('msg : '))
m = bytes_to_long(msg)
signature = int(input('signature : '), 16)
if m < 0 or m > s.n:
print('[!] ERROR')
if s.verify(m, signature):
if long_to_bytes(m) == TOKEN:
print(SECRET)
else:
print('\n[+] Valid signature')
else:
print('\n[!]Invalid signature')
except:
print('\n[!] ERROR(invalid input)')
elif choice == 'Q':
print('OK BYE :)')
exit(0)
else:
print('\n[*] SEE OPTIONS') |
# Python Class 2406
# Lesson 12 Problem 1
# Author: snowapple (471208)
class Game:
def __init__(self, n):
'''__init__(n) -> Game
creates an instance of the Game class'''
if n% 2 == 0: #n has to be odd
print('Please enter an odd n!')
raise ValueError
self.n = n #size of side of board
self.board = [[0 for x in range(self.n)] for x in range(self.n)] #holds current state of the board, list of columns
self.is_won = 0#is_won is 0 if game is not won, and 1 or 2 if won by player 1 or 2 respectively
def __str__(self):
'''__str__() -> str
returns a str representation of the current state of the board'''
ans = ""
print_dict = {0:'. ', 1:'X ', 2:'O '} #On the board, these numbers represent the pieces
for i in range(self.n):#row
row = ""
for j in range(self.n):#column
row += print_dict[self.board[j][i]] #prints the board piece to where the player puts it
ans = row + "\n" + ans
title = ""
for i in range(self.n):
title += str(i) + " "
ans = '\n' + title + '\n' +ans
return ans
def clear_board(self):
'''clear_board() -> none
clears the board by setting all entries to 0'''
self.is_won = 0
self.board = [[0 for x in range(self.n)] for x in range(self.n)]
def put(self,player_num,column):#takes care of errors
'''put(player_num,column) -> boolean
puts a piece of type player_num in the specified column,
returns boolean which is true if the put was successful, otherwise false'''
if self.is_won != 0: #if the game has been won
print('Please start a new game as player ' + str(self.is_won) + ' has already won!')
return False
if player_num not in [1,2]: #if a valid player number is not entered
print('Please enter 1 or 2 for the player number!')
return False
if column < 0 or column >= self.n: #if a valid column is not entered
print('Please enter a valid column!')
return False
try:
row = self.board[column].index(0)
self.board[column][row]= player_num
self.is_won = self.win_index(column,row)
return True
except ValueError:
print('Column is full!')
return False
def win_index(self,column_index,row_index):
'''win_index(column_index,row_index) -> int
checks if piece at (column_index, row_index) is part of a connect 4
returns player_num if the piece is part of a connect4, and 0 otherwise'''
#uses axis_check to check all of the axes
player_num = self.board[column_index][row_index]
#check up/down axis
col = self.board[column_index]
col_win = self.axis_check(col,row_index,player_num) #checks the row since it goes up/down
if col_win != 0: #checks to see if won
return col_win
#check left/right axis
row = [self.board[i][row_index] for i in range(self.n)]
row_win = self.axis_check(row,column_index,player_num) #checks column since it goes left/right
if row_win != 0: #checks to see if won
return row_win
#down-left/up-right diagonal axis
axis = [player_num]
index = 0
#down-left part
curr_col_index = column_index - 1 #goes left so subtract one
curr_row_index = row_index - 1 #goes down so subtract one
while curr_row_index >= 0 and curr_col_index >= 0: #until you go to the most down-left part of the board
axis = [self.board[curr_col_index][curr_row_index]] + axis
curr_col_index -= 1
curr_row_index -= 1
index += 1
#up-right part
curr_col_index = column_index + 1 #goes right so add one
curr_row_index = row_index + 1 #goes up so add one
while curr_row_index < self.n and curr_col_index < self.n: #until you go to the most up-right part of the board
axis = axis +[self.board[curr_col_index][curr_row_index]]
curr_col_index += 1
curr_row_index += 1
diag_win = self.axis_check(axis,index,player_num)
if diag_win != 0: #checks to see if won
return diag_win
#up-left/down-right diagonal axis
axis = [player_num]
index = 0
#up-left part
curr_col_index = column_index - 1 #goes left so minus one
curr_row_index = row_index + 1 #goes up so plus one
while curr_row_index < self.n and curr_col_index >= 0: #until you go to the most up-left part of the board
axis = [self.board[curr_col_index][curr_row_index]] + axis
curr_col_index -= 1
curr_row_index += 1
index += 1
#down-right part
curr_col_index = column_index + 1 #goes right so plus one
curr_row_index = row_index - 1 # goes down so minus one
while curr_row_index >= 0 and curr_col_index < self.n: #until you go to the most down-right part of the board
axis = axis +[self.board[curr_col_index][curr_row_index]]
curr_col_index += 1
curr_row_index -= 1
diag_win = self.axis_check(axis,index,player_num)
if diag_win != 0: #checks to see if won
return diag_win
return 0
def axis_check(self,axis, index, player_num):
'''axis_check(axis, index, player_num) -> int
checks if index in axis (list) is part of a connect4
returns player_num if the index is indeed part of a connect4 and 0 otherwise'''
#takes the index and sees if the piece is part of a connect four and generalizes it for the four axes(up/down, left/right, two diagonals)
down = index
up = index
for i in range(index,-1, -1):
if axis[i] == player_num:
down = i
else:
break
for i in range(index,len(axis)):
if axis[i] == player_num:
up = i
else:
break
if up - down + 1 >= 4:
# print('Player ' + str(player_num) + ' has won the game!')
return player_num
return 0
game = Game(7)
labels = {1:'X', 2:'O'}
play = True
while play:
#setting up the board and players
game.clear_board()
name1 = input('Player ' + labels[1] + ' , enter your name: ')
name2 = input('Player ' + labels[2] + ' , enter your name: ')
names = {1:name1, 2:name2}
print(game)
turn = 1
while game.is_won == 0:
success = False
while not success:
#until someone wins each player takes turns
col_choice = int(input(names[turn] + ", you're " + labels[turn] + ". What column do you want to play in? "))
success = game.put(turn,col_choice)
print(game)
turn = turn % 2 +1 #to take turns between players
print("Congratulations, " + names[game.is_won]+", you won!")
#if players want to play again
play_another = ""
while play_another not in ['y','n']:
play_another = input("Do you want to play another game? [Enter 'y' for yes, 'n' for no]: ")
if play_another == 'n':
play = False
| class Game:
def __init__(self, n):
"""__init__(n) -> Game
creates an instance of the Game class"""
if n % 2 == 0:
print('Please enter an odd n!')
raise ValueError
self.n = n
self.board = [[0 for x in range(self.n)] for x in range(self.n)]
self.is_won = 0
def __str__(self):
"""__str__() -> str
returns a str representation of the current state of the board"""
ans = ''
print_dict = {0: '. ', 1: 'X ', 2: 'O '}
for i in range(self.n):
row = ''
for j in range(self.n):
row += print_dict[self.board[j][i]]
ans = row + '\n' + ans
title = ''
for i in range(self.n):
title += str(i) + ' '
ans = '\n' + title + '\n' + ans
return ans
def clear_board(self):
"""clear_board() -> none
clears the board by setting all entries to 0"""
self.is_won = 0
self.board = [[0 for x in range(self.n)] for x in range(self.n)]
def put(self, player_num, column):
"""put(player_num,column) -> boolean
puts a piece of type player_num in the specified column,
returns boolean which is true if the put was successful, otherwise false"""
if self.is_won != 0:
print('Please start a new game as player ' + str(self.is_won) + ' has already won!')
return False
if player_num not in [1, 2]:
print('Please enter 1 or 2 for the player number!')
return False
if column < 0 or column >= self.n:
print('Please enter a valid column!')
return False
try:
row = self.board[column].index(0)
self.board[column][row] = player_num
self.is_won = self.win_index(column, row)
return True
except ValueError:
print('Column is full!')
return False
def win_index(self, column_index, row_index):
"""win_index(column_index,row_index) -> int
checks if piece at (column_index, row_index) is part of a connect 4
returns player_num if the piece is part of a connect4, and 0 otherwise"""
player_num = self.board[column_index][row_index]
col = self.board[column_index]
col_win = self.axis_check(col, row_index, player_num)
if col_win != 0:
return col_win
row = [self.board[i][row_index] for i in range(self.n)]
row_win = self.axis_check(row, column_index, player_num)
if row_win != 0:
return row_win
axis = [player_num]
index = 0
curr_col_index = column_index - 1
curr_row_index = row_index - 1
while curr_row_index >= 0 and curr_col_index >= 0:
axis = [self.board[curr_col_index][curr_row_index]] + axis
curr_col_index -= 1
curr_row_index -= 1
index += 1
curr_col_index = column_index + 1
curr_row_index = row_index + 1
while curr_row_index < self.n and curr_col_index < self.n:
axis = axis + [self.board[curr_col_index][curr_row_index]]
curr_col_index += 1
curr_row_index += 1
diag_win = self.axis_check(axis, index, player_num)
if diag_win != 0:
return diag_win
axis = [player_num]
index = 0
curr_col_index = column_index - 1
curr_row_index = row_index + 1
while curr_row_index < self.n and curr_col_index >= 0:
axis = [self.board[curr_col_index][curr_row_index]] + axis
curr_col_index -= 1
curr_row_index += 1
index += 1
curr_col_index = column_index + 1
curr_row_index = row_index - 1
while curr_row_index >= 0 and curr_col_index < self.n:
axis = axis + [self.board[curr_col_index][curr_row_index]]
curr_col_index += 1
curr_row_index -= 1
diag_win = self.axis_check(axis, index, player_num)
if diag_win != 0:
return diag_win
return 0
def axis_check(self, axis, index, player_num):
"""axis_check(axis, index, player_num) -> int
checks if index in axis (list) is part of a connect4
returns player_num if the index is indeed part of a connect4 and 0 otherwise"""
down = index
up = index
for i in range(index, -1, -1):
if axis[i] == player_num:
down = i
else:
break
for i in range(index, len(axis)):
if axis[i] == player_num:
up = i
else:
break
if up - down + 1 >= 4:
return player_num
return 0
game = game(7)
labels = {1: 'X', 2: 'O'}
play = True
while play:
game.clear_board()
name1 = input('Player ' + labels[1] + ' , enter your name: ')
name2 = input('Player ' + labels[2] + ' , enter your name: ')
names = {1: name1, 2: name2}
print(game)
turn = 1
while game.is_won == 0:
success = False
while not success:
col_choice = int(input(names[turn] + ", you're " + labels[turn] + '. What column do you want to play in? '))
success = game.put(turn, col_choice)
print(game)
turn = turn % 2 + 1
print('Congratulations, ' + names[game.is_won] + ', you won!')
play_another = ''
while play_another not in ['y', 'n']:
play_another = input("Do you want to play another game? [Enter 'y' for yes, 'n' for no]: ")
if play_another == 'n':
play = False |
def BFS(graph,root,p1,max1):
checked = []
visited=[]
energy=[]
level=[]
l=[]
l.append(root)
level.append(l)
checked.append(root)
inienergy=14600
threshold=10
l1=0
flag=0
energy.append(inienergy)
while(len(checked)>0):
l1=l1+1
#print "level"+str(l1)
v=checked.pop(0)
e1=energy.pop(0)
while v in visited:
#print "ll"
if(len(checked)>0):
v=checked.pop(0)
if len(checked)==0:
flag=1
break
if(flag==1):
break
# print "kk"
visited.append(v)
l=[]
#print str(v)+"-->"
if(float(e1)/float(len(graph[v])) >= float(threshold)):
for edge in graph[v]:
#print edge
if edge not in checked:
checked.append(edge)
energy.append(float(e1*A[v][edge]/(len(graph[v])*max1)))
str1="v"+str(v)+","+"v"+str(edge)+","+"false"+","+str(A[v][edge])+","+"true\n"
fil_out.write(str1)
for edge in level[(len(level)-1)]:
l=list(set(graph[edge])|set(l))
#print "l "+str(l)
for i in range(len(level)):
for j in level[i]:
if j in l:
l.remove(j)
if len(l)>0:
level.append(l)
f = open('dsfull1.gdf')
text=f.read()
p1=text.split('\n')
V=[]
flag=0
for each_line in p1:
l=each_line.split(',')
if len(l)==2:
if flag!=0:
#print(l[0])
V.append(int(l[0][1:]))
flag=1
else:
break
A = [[0 for x in range(len(V))] for x in range(len(V))]
flag=0
max1=-1
for each_line in p1:
l=each_line.split(',')
if len(l)==5:
if flag!=0:
#print(l[0],l[1],l[3])
A[int(l[0][1:])][int(l[1][1:])]=float(l[3])
#if(float(l[3]>max)):
# max1=float(l[3])
flag=1
else:
continue
#print max1
graph = [[] for x in range(len(V))]
flag=0
i=0
x=0
for each_line in p1:
l=each_line.split(',')
if len(l)==5:
if flag!=0:
#print(l[0],l[1],l[3])
#A[int(l[0][1:])][int(l[1][1:])]=float(l[3])
graph[int(l[0][1:])].append(int(l[1][1:]))
flag=1
else:
continue
root=154
#print(len(graph[root]))
fil_out=open("sub5.gdf",'w')
fil_out1=open("ds2.txt","w")
fil_out.write("nodedef> name,label\n")
for i in range(0,len(V)):
fil_out.write(p1[i+1]+'\n')
fil_out.write("edgedef>node1,node2,directed,weight,labelvisible\n")
h=p1[root+1].split(',')
fil_out1.write(str(h[1])+",")
BFS(graph,root,p1,max1)
fil_out.close()
f.close()
| def bfs(graph, root, p1, max1):
checked = []
visited = []
energy = []
level = []
l = []
l.append(root)
level.append(l)
checked.append(root)
inienergy = 14600
threshold = 10
l1 = 0
flag = 0
energy.append(inienergy)
while len(checked) > 0:
l1 = l1 + 1
v = checked.pop(0)
e1 = energy.pop(0)
while v in visited:
if len(checked) > 0:
v = checked.pop(0)
if len(checked) == 0:
flag = 1
break
if flag == 1:
break
visited.append(v)
l = []
if float(e1) / float(len(graph[v])) >= float(threshold):
for edge in graph[v]:
if edge not in checked:
checked.append(edge)
energy.append(float(e1 * A[v][edge] / (len(graph[v]) * max1)))
str1 = 'v' + str(v) + ',' + 'v' + str(edge) + ',' + 'false' + ',' + str(A[v][edge]) + ',' + 'true\n'
fil_out.write(str1)
for edge in level[len(level) - 1]:
l = list(set(graph[edge]) | set(l))
for i in range(len(level)):
for j in level[i]:
if j in l:
l.remove(j)
if len(l) > 0:
level.append(l)
f = open('dsfull1.gdf')
text = f.read()
p1 = text.split('\n')
v = []
flag = 0
for each_line in p1:
l = each_line.split(',')
if len(l) == 2:
if flag != 0:
V.append(int(l[0][1:]))
flag = 1
else:
break
a = [[0 for x in range(len(V))] for x in range(len(V))]
flag = 0
max1 = -1
for each_line in p1:
l = each_line.split(',')
if len(l) == 5:
if flag != 0:
A[int(l[0][1:])][int(l[1][1:])] = float(l[3])
flag = 1
else:
continue
graph = [[] for x in range(len(V))]
flag = 0
i = 0
x = 0
for each_line in p1:
l = each_line.split(',')
if len(l) == 5:
if flag != 0:
graph[int(l[0][1:])].append(int(l[1][1:]))
flag = 1
else:
continue
root = 154
fil_out = open('sub5.gdf', 'w')
fil_out1 = open('ds2.txt', 'w')
fil_out.write('nodedef> name,label\n')
for i in range(0, len(V)):
fil_out.write(p1[i + 1] + '\n')
fil_out.write('edgedef>node1,node2,directed,weight,labelvisible\n')
h = p1[root + 1].split(',')
fil_out1.write(str(h[1]) + ',')
bfs(graph, root, p1, max1)
fil_out.close()
f.close() |
s="this this is a a cat cat cat ram ram jai it"
l=[]
count=[]
i=0
#j=0
str=""
for i in s:
#print(i,end="")
if i==" ":
if str in l:
for j in range(len(l)):
if str == l[j]:
count[j] += 1
str=""
continue
else:
l.append(str)
count.append(1)
str=""
continue
str=str+i
print(l)
print(count) | s = 'this this is a a cat cat cat ram ram jai it'
l = []
count = []
i = 0
str = ''
for i in s:
if i == ' ':
if str in l:
for j in range(len(l)):
if str == l[j]:
count[j] += 1
str = ''
continue
else:
l.append(str)
count.append(1)
str = ''
continue
str = str + i
print(l)
print(count) |
class LRUCache:
def __init__(self, capacity: int):
self.db = dict()
self.capacity = capacity
self.time = 0
def get(self, key: int) -> int:
if key in self.db:
self.db[key][1] = self.time
self.time += 1
return self.db[key][0]
else:
return -1
def put(self, key: int, value: int) -> None:
if key in self.db:
self.db[key] = [value, self.time]
else:
if len(self.db.keys()) < self.capacity:
self.db[key] = [value, self.time]
else:
# evict LRU
evict_key = sorted(self.db.items(), key=lambda x: x[1][1])[0][0]
del self.db[evict_key]
self.db[key] = [value, self.time]
self.time += 1
# Your LRUCache object will be instantiated and called as such:
# obj = LRUCache(capacity)
# param_1 = obj.get(key)
# obj.put(key,value) | class Lrucache:
def __init__(self, capacity: int):
self.db = dict()
self.capacity = capacity
self.time = 0
def get(self, key: int) -> int:
if key in self.db:
self.db[key][1] = self.time
self.time += 1
return self.db[key][0]
else:
return -1
def put(self, key: int, value: int) -> None:
if key in self.db:
self.db[key] = [value, self.time]
elif len(self.db.keys()) < self.capacity:
self.db[key] = [value, self.time]
else:
evict_key = sorted(self.db.items(), key=lambda x: x[1][1])[0][0]
del self.db[evict_key]
self.db[key] = [value, self.time]
self.time += 1 |
# 2021.04.14
# Problem Statement:
# https://leetcode.com/problems/majority-element/
class Solution:
def majorityElement(self, nums: List[int]) -> int:
# trivial question, no need to explain
if len(nums) == 1: return nums[0]
dict = {}
for element in nums:
if element not in dict.keys():
dict[element] = 1
else:
dict[element] = dict[element] + 1
if dict[element] >= (len(nums)//2 + 1):
return element | class Solution:
def majority_element(self, nums: List[int]) -> int:
if len(nums) == 1:
return nums[0]
dict = {}
for element in nums:
if element not in dict.keys():
dict[element] = 1
else:
dict[element] = dict[element] + 1
if dict[element] >= len(nums) // 2 + 1:
return element |
def ParseGraphVertexEdge(file):
with open(file, 'r') as fw:
read_data = fw.read()
res = read_data.splitlines(False)
def ParseV(v_str):
'''
@type v_str: string
:param v_str:
:return:
'''
return [int(i) for i in v_str.split()]
v = int(res[0])
edges = [ParseV(vstr) for vstr in res[1:]]
return v, edges
if __name__ == '__main__':
v, edges = ParseGraphVertexEdge('graph.in')
print(v, edges) | def parse_graph_vertex_edge(file):
with open(file, 'r') as fw:
read_data = fw.read()
res = read_data.splitlines(False)
def parse_v(v_str):
"""
@type v_str: string
:param v_str:
:return:
"""
return [int(i) for i in v_str.split()]
v = int(res[0])
edges = [parse_v(vstr) for vstr in res[1:]]
return (v, edges)
if __name__ == '__main__':
(v, edges) = parse_graph_vertex_edge('graph.in')
print(v, edges) |
class Solution:
def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:
n = len(nums1)
m = len(nums2)
if (n > m):
return self.findMedianSortedArrays(nums2, nums1)
start = 0
end = n
realmidinmergedarray = (n + m + 1) // 2
while (start <= end):
mid = (start + end) // 2
leftAsize = mid
leftBsize = realmidinmergedarray - mid
leftA = nums1[leftAsize - 1] if (leftAsize > 0) else float('-inf')
leftB = nums2[leftAsize - 1] if (leftBsize > 0) else float('-inf')
rightA = nums1[leftAsize] if (leftAsize < n) else float('inf')
rightB = nums2[leftAsize] if (leftBsize < m) else float('inf')
if leftA <= rightB and leftB <= rightA:
if ((m + n) % 2 == 0):
return (max(leftA, leftB) + min(rightA, rightB)) / 2.0
return max(leftA, leftB)
elif (leftA > rightB):
end = mid - 1
else:
start = mid + 1
# Driver code
ans = Solution()
arr1 = [-5, 3, 6, 12, 15]
arr2 = [-12, -10, -6, -3, 4, 10]
print("Median of the two arrays is {}".format(ans.Median(arr1, arr2)))
| class Solution:
def find_median_sorted_arrays(self, nums1: List[int], nums2: List[int]) -> float:
n = len(nums1)
m = len(nums2)
if n > m:
return self.findMedianSortedArrays(nums2, nums1)
start = 0
end = n
realmidinmergedarray = (n + m + 1) // 2
while start <= end:
mid = (start + end) // 2
left_asize = mid
left_bsize = realmidinmergedarray - mid
left_a = nums1[leftAsize - 1] if leftAsize > 0 else float('-inf')
left_b = nums2[leftAsize - 1] if leftBsize > 0 else float('-inf')
right_a = nums1[leftAsize] if leftAsize < n else float('inf')
right_b = nums2[leftAsize] if leftBsize < m else float('inf')
if leftA <= rightB and leftB <= rightA:
if (m + n) % 2 == 0:
return (max(leftA, leftB) + min(rightA, rightB)) / 2.0
return max(leftA, leftB)
elif leftA > rightB:
end = mid - 1
else:
start = mid + 1
ans = solution()
arr1 = [-5, 3, 6, 12, 15]
arr2 = [-12, -10, -6, -3, 4, 10]
print('Median of the two arrays is {}'.format(ans.Median(arr1, arr2))) |
data_rows = [2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 16, 18, 20, 22, 24, 25, 27]
data_rows_cool = [2, 3, 4, 6, 7, 8, 10, 12, 14]
hig_temp_techs = [2, 7, 8, 13, 14, 16, 18, 20, 22]
med_temp_techs = [3, 4, 5, 9, 10, 11]
low_temp_techs = [24, 25]
no_imput_rows_color = [232, 232, 232] | data_rows = [2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 16, 18, 20, 22, 24, 25, 27]
data_rows_cool = [2, 3, 4, 6, 7, 8, 10, 12, 14]
hig_temp_techs = [2, 7, 8, 13, 14, 16, 18, 20, 22]
med_temp_techs = [3, 4, 5, 9, 10, 11]
low_temp_techs = [24, 25]
no_imput_rows_color = [232, 232, 232] |
def letter_counter(token, word):
count = 0
for letter in word:
if letter == token:
count = count + 1
else:
continue
return count
| def letter_counter(token, word):
count = 0
for letter in word:
if letter == token:
count = count + 1
else:
continue
return count |
@React.command()
async def redirect(ctx, *, url):
await ctx.message.delete()
try:
embed = discord.Embed(color=int(json.load(open(f'./Themes/{json.load(open("config.json"))["theme"]}.json'))['embed_color'].replace('#', '0x'), 0), title='Redirect Checker')
embed.set_thumbnail(url=json.load(open(f'./Themes/{json.load(open("config.json"))["theme"]}.json'))['embed_thumbnail_url'])
embed.set_footer(text=json.load(open(f'./Themes/{json.load(open("config.json"))["theme"]}.json'))['embed_footer'], icon_url=json.load(open(f'./Themes/{json.load(open("config.json"))["theme"]}.json'))['embed_footer_url'])
result = json.loads(requests.get(f"https://api.redirect-checker.net/?url={url}&timeout=5&maxhops=10&meta-refresh=1&format=json").text)
for i in range(len(result['data'])):
embed.add_field(name=f"__Redirect #{i + 1}__", value=f"{result['data'][i]['request']['info']['url']}", inline=False)
await ctx.send(embed=embed, delete_after=json.load(open('config.json'))['delete_timeout'])
except Exception as e:
await ctx.send(f"Error: {e}") | @React.command()
async def redirect(ctx, *, url):
await ctx.message.delete()
try:
embed = discord.Embed(color=int(json.load(open(f"./Themes/{json.load(open('config.json'))['theme']}.json"))['embed_color'].replace('#', '0x'), 0), title='Redirect Checker')
embed.set_thumbnail(url=json.load(open(f"./Themes/{json.load(open('config.json'))['theme']}.json"))['embed_thumbnail_url'])
embed.set_footer(text=json.load(open(f"./Themes/{json.load(open('config.json'))['theme']}.json"))['embed_footer'], icon_url=json.load(open(f"./Themes/{json.load(open('config.json'))['theme']}.json"))['embed_footer_url'])
result = json.loads(requests.get(f'https://api.redirect-checker.net/?url={url}&timeout=5&maxhops=10&meta-refresh=1&format=json').text)
for i in range(len(result['data'])):
embed.add_field(name=f'__Redirect #{i + 1}__', value=f"{result['data'][i]['request']['info']['url']}", inline=False)
await ctx.send(embed=embed, delete_after=json.load(open('config.json'))['delete_timeout'])
except Exception as e:
await ctx.send(f'Error: {e}') |
arq_entrada = open("FORMAT.FLC", 'r')
conjunto_entradas = \
{'SISTEMA FUZZY': '',
'CONJUNTO FUZZY': '',
'GRANULARIDADE': 3,
'OPERADOR COMPOSICAO': '',
'OPERADOR AGREGACAO': '',
'INFERENCIA': '',
'REGRA': False,
'DEFAULT': ''}
for linha in arq_entrada.readlines():
#print(linha)
variavel = linha.split(':')[0]
valor = linha.split(':')[1].split('#')[0]
conjunto_entradas[variavel] = valor
print(conjunto_entradas)
| arq_entrada = open('FORMAT.FLC', 'r')
conjunto_entradas = {'SISTEMA FUZZY': '', 'CONJUNTO FUZZY': '', 'GRANULARIDADE': 3, 'OPERADOR COMPOSICAO': '', 'OPERADOR AGREGACAO': '', 'INFERENCIA': '', 'REGRA': False, 'DEFAULT': ''}
for linha in arq_entrada.readlines():
variavel = linha.split(':')[0]
valor = linha.split(':')[1].split('#')[0]
conjunto_entradas[variavel] = valor
print(conjunto_entradas) |
num = 1
num = 2
num = 3
num = 4
num = 5
| num = 1
num = 2
num = 3
num = 4
num = 5 |
class Parser:
def __init__(self, file_path):
self.dottedproductions = {'S\'': [['.', 'S']]}
file_program = self.read_program(file_path)
self.terminals = file_program[0]
self.nonTerminals = file_program[1]
self.productions = {}
self.transactions = file_program[2:]
for elements in self.transactions:
if elements[0] in self.productions:
self.productions[elements[0]].append(elements[1:])
else:
self.productions[elements[0]] = [elements[1:]]
self.data = [self.terminals, self.nonTerminals, self.productions]
dotted = self.dotMaker()
self.initial_closure = {"S'": [dotted["S'"][0]]}
self.closure(self.initial_closure, dotted, dotted["S'"][0])
def dotMaker(self):
self.dottedproductions = {'S\'': [['.', 'S']]}
for nonTerminal in self.productions:
self.dottedproductions[nonTerminal] = []
for way in self.productions[nonTerminal]:
self.dottedproductions[nonTerminal].append(["."] + way)
return self.dottedproductions
def closure(self, closure_map, transitions_map, transition_value):
dot_index = transition_value.index(".")
if dot_index + 1 == len(transition_value):
return
after_dot = transition_value[dot_index + 1]
if after_dot in self.nonTerminals:
non_terminal = after_dot
if non_terminal not in closure_map:
closure_map[non_terminal] = transitions_map[non_terminal]
else:
closure_map[non_terminal] += transitions_map[non_terminal]
for transition in transitions_map[non_terminal]:
self.closure(closure_map, transitions_map, transition)
@staticmethod
def shiftable(transition):
dot_index = transition.index(".")
if len(transition) > dot_index + 1:
return True
return False
@staticmethod
def shift_dot(transition):
transition = transition[:]
dot_index = transition.index(".")
if not Parser.shiftable(transition):
raise Exception("Should I shift it back ?")
if len(transition) > dot_index + 2:
remainder = transition[dot_index + 2:]
else:
remainder = []
transition = transition[:dot_index] + [transition[dot_index + 1]] + ["."] + remainder
return transition
def canonical_collection(self):
self.idk = {}
self.queue = [{
"state": self.initial_closure,
"initial_dotted": self.dottedproductions,
}]
self.states = []
self.state_parents = {}
while len(self.queue) > 0:
self.goto_all(**self.queue.pop(0))
reduced = self.get_reduced()
for k in reduced:
red_k = list(reduced[k].keys())
if red_k[0] != "S'":
trans = red_k + reduced[k][red_k[0]][0][:-1]
reduce_index = self.transactions.index(trans) + 1
self.idk[k] = {terminal: f"r{reduce_index}" for terminal in self.terminals}
self.idk[k]["$"] = f"r{reduce_index}"
else:
self.idk[k] = {"$": "accept"}
del self.state_parents[0]
for key in self.state_parents:
parent = self.state_parents[key]
if parent["parent_index"] in self.idk:
self.idk[parent["parent_index"]][parent["before_dot"]] = key
else:
self.idk[parent["parent_index"]] = {parent["before_dot"]: key}
table = {f"I{index}": self.idk[index] for index in range(len(self.states))}
self.print_dict(table, "Table:")
def goto_all(self, state, initial_dotted, parent=-1, parent_key="-1"):
if state not in self.states:
self.states.append(state)
index = len(self.states) - 1
self.state_parents[index] = {
"parent_index": parent,
"before_dot": parent_key
}
{}.items()
self.print_dict(state, f"state {index}")
for key in state:
for transition in state[key]:
if self.shiftable(transition):
self.goto_one(initial_dotted, key, transition, index)
else:
if parent in self.idk:
self.idk[parent][parent_key] = self.states.index(state)
else:
self.idk[parent] = {parent_key: self.states.index(state)}
def goto_one(self, initial_dotted, key, state, parent=-1):
shifted_transition = self.shift_dot(state)
closure_map = {key: [shifted_transition]}
self.closure(closure_map, initial_dotted, shifted_transition)
self.queue.append({
"state": closure_map,
"initial_dotted": initial_dotted,
"parent": parent,
"parent_key": shifted_transition[shifted_transition.index(".") - 1]
})
def get_reduced(self):
self.reduced = {}
for state in self.states:
state_key = list(state.keys())[0]
if len(state) == 1 and len(state[state_key]) and len(state[state_key][0]) \
and state[state_key][0][-1] == ".":
self.reduced[self.states.index(state)] = state
return self.reduced
@staticmethod
def read_program(file_path):
file1 = open(file_path, 'r')
lines = file1.readlines()
file1.close()
return [line.replace("\n", "").replace("\t", "").split(" ") for line in lines]
@staticmethod
def print_dict(hashmap, message=None, deepness=""):
if message is not None:
print(deepness + message)
for key in hashmap:
print(f"{deepness}{key} : {hashmap[key]}")
def print_data(self, index=-1):
if index == -1:
exit()
else:
print(self.data[index - 1])
def print_production(self, non_terminal):
data = self.data[2]
if non_terminal in data:
for row in data[non_terminal]:
print(f"{non_terminal} -> {row}")
else:
print("Wrong non terminal!")
| class Parser:
def __init__(self, file_path):
self.dottedproductions = {"S'": [['.', 'S']]}
file_program = self.read_program(file_path)
self.terminals = file_program[0]
self.nonTerminals = file_program[1]
self.productions = {}
self.transactions = file_program[2:]
for elements in self.transactions:
if elements[0] in self.productions:
self.productions[elements[0]].append(elements[1:])
else:
self.productions[elements[0]] = [elements[1:]]
self.data = [self.terminals, self.nonTerminals, self.productions]
dotted = self.dotMaker()
self.initial_closure = {"S'": [dotted["S'"][0]]}
self.closure(self.initial_closure, dotted, dotted["S'"][0])
def dot_maker(self):
self.dottedproductions = {"S'": [['.', 'S']]}
for non_terminal in self.productions:
self.dottedproductions[nonTerminal] = []
for way in self.productions[nonTerminal]:
self.dottedproductions[nonTerminal].append(['.'] + way)
return self.dottedproductions
def closure(self, closure_map, transitions_map, transition_value):
dot_index = transition_value.index('.')
if dot_index + 1 == len(transition_value):
return
after_dot = transition_value[dot_index + 1]
if after_dot in self.nonTerminals:
non_terminal = after_dot
if non_terminal not in closure_map:
closure_map[non_terminal] = transitions_map[non_terminal]
else:
closure_map[non_terminal] += transitions_map[non_terminal]
for transition in transitions_map[non_terminal]:
self.closure(closure_map, transitions_map, transition)
@staticmethod
def shiftable(transition):
dot_index = transition.index('.')
if len(transition) > dot_index + 1:
return True
return False
@staticmethod
def shift_dot(transition):
transition = transition[:]
dot_index = transition.index('.')
if not Parser.shiftable(transition):
raise exception('Should I shift it back ?')
if len(transition) > dot_index + 2:
remainder = transition[dot_index + 2:]
else:
remainder = []
transition = transition[:dot_index] + [transition[dot_index + 1]] + ['.'] + remainder
return transition
def canonical_collection(self):
self.idk = {}
self.queue = [{'state': self.initial_closure, 'initial_dotted': self.dottedproductions}]
self.states = []
self.state_parents = {}
while len(self.queue) > 0:
self.goto_all(**self.queue.pop(0))
reduced = self.get_reduced()
for k in reduced:
red_k = list(reduced[k].keys())
if red_k[0] != "S'":
trans = red_k + reduced[k][red_k[0]][0][:-1]
reduce_index = self.transactions.index(trans) + 1
self.idk[k] = {terminal: f'r{reduce_index}' for terminal in self.terminals}
self.idk[k]['$'] = f'r{reduce_index}'
else:
self.idk[k] = {'$': 'accept'}
del self.state_parents[0]
for key in self.state_parents:
parent = self.state_parents[key]
if parent['parent_index'] in self.idk:
self.idk[parent['parent_index']][parent['before_dot']] = key
else:
self.idk[parent['parent_index']] = {parent['before_dot']: key}
table = {f'I{index}': self.idk[index] for index in range(len(self.states))}
self.print_dict(table, 'Table:')
def goto_all(self, state, initial_dotted, parent=-1, parent_key='-1'):
if state not in self.states:
self.states.append(state)
index = len(self.states) - 1
self.state_parents[index] = {'parent_index': parent, 'before_dot': parent_key}
{}.items()
self.print_dict(state, f'state {index}')
for key in state:
for transition in state[key]:
if self.shiftable(transition):
self.goto_one(initial_dotted, key, transition, index)
elif parent in self.idk:
self.idk[parent][parent_key] = self.states.index(state)
else:
self.idk[parent] = {parent_key: self.states.index(state)}
def goto_one(self, initial_dotted, key, state, parent=-1):
shifted_transition = self.shift_dot(state)
closure_map = {key: [shifted_transition]}
self.closure(closure_map, initial_dotted, shifted_transition)
self.queue.append({'state': closure_map, 'initial_dotted': initial_dotted, 'parent': parent, 'parent_key': shifted_transition[shifted_transition.index('.') - 1]})
def get_reduced(self):
self.reduced = {}
for state in self.states:
state_key = list(state.keys())[0]
if len(state) == 1 and len(state[state_key]) and len(state[state_key][0]) and (state[state_key][0][-1] == '.'):
self.reduced[self.states.index(state)] = state
return self.reduced
@staticmethod
def read_program(file_path):
file1 = open(file_path, 'r')
lines = file1.readlines()
file1.close()
return [line.replace('\n', '').replace('\t', '').split(' ') for line in lines]
@staticmethod
def print_dict(hashmap, message=None, deepness=''):
if message is not None:
print(deepness + message)
for key in hashmap:
print(f'{deepness}{key} : {hashmap[key]}')
def print_data(self, index=-1):
if index == -1:
exit()
else:
print(self.data[index - 1])
def print_production(self, non_terminal):
data = self.data[2]
if non_terminal in data:
for row in data[non_terminal]:
print(f'{non_terminal} -> {row}')
else:
print('Wrong non terminal!') |
class instancemethod(object):
def __init__(self, func):
self._func = func
def __get__(self, obj, type_=None):
return lambda *args, **kwargs: self._func(obj, *args, **kwargs)
class Func(object):
def __init__(self):
pass
def __call__(self, *args, **kwargs):
return self, args, kwargs
class A(object):
def __init__(self):
pass
f1 = classmethod(Func())
f2 = instancemethod(Func())
a = A()
print(a.f1(10, 20))
print(a.f2(10, 20))
print(A.f1(10, 20))
| class Instancemethod(object):
def __init__(self, func):
self._func = func
def __get__(self, obj, type_=None):
return lambda *args, **kwargs: self._func(obj, *args, **kwargs)
class Func(object):
def __init__(self):
pass
def __call__(self, *args, **kwargs):
return (self, args, kwargs)
class A(object):
def __init__(self):
pass
f1 = classmethod(func())
f2 = instancemethod(func())
a = a()
print(a.f1(10, 20))
print(a.f2(10, 20))
print(A.f1(10, 20)) |
#!/usr/bin/env python
# https://adventofcode.com/2020/day/1
# Topic: Report repair
my_list = []
with open("../data/1.puzzle.txt") as fp:
Lines = fp.readlines()
for line in Lines:
my_list.append(int(line))
my_list.sort()
num1 = 0
num2 = 0
for idx, x in enumerate(my_list):
for y in range(0, len(my_list) - idx):
if x + my_list[len(my_list) - 1 - y] == 2020:
num1 = x
num2 = my_list[len(my_list) - 1 - y]
sum = num1 * num2
assert sum == 121396
num3 = 0
for x in my_list:
for y in my_list:
for z in my_list:
if x + y + z == 2020:
num1 = x
num2 = y
num3 = z
sum = num1 * num2 * num3
assert sum == 73616634
| my_list = []
with open('../data/1.puzzle.txt') as fp:
lines = fp.readlines()
for line in Lines:
my_list.append(int(line))
my_list.sort()
num1 = 0
num2 = 0
for (idx, x) in enumerate(my_list):
for y in range(0, len(my_list) - idx):
if x + my_list[len(my_list) - 1 - y] == 2020:
num1 = x
num2 = my_list[len(my_list) - 1 - y]
sum = num1 * num2
assert sum == 121396
num3 = 0
for x in my_list:
for y in my_list:
for z in my_list:
if x + y + z == 2020:
num1 = x
num2 = y
num3 = z
sum = num1 * num2 * num3
assert sum == 73616634 |
class MasterConfig:
def __init__(self, args):
self.IP = args.ip
self.PORT = args.port
self.PERSISTENCE_DIR = args.persistence_dir
self.SENDER_QUEUE_LENGTH = args.sender_queue_length
self.SENDER_TIMEOUT = args.sender_timeout
self.UI_PORT = args.ui_port
self.CPU_PERCENT_THRESHOLD = 25.0
| class Masterconfig:
def __init__(self, args):
self.IP = args.ip
self.PORT = args.port
self.PERSISTENCE_DIR = args.persistence_dir
self.SENDER_QUEUE_LENGTH = args.sender_queue_length
self.SENDER_TIMEOUT = args.sender_timeout
self.UI_PORT = args.ui_port
self.CPU_PERCENT_THRESHOLD = 25.0 |
'''knot> pytest tests '''
def test_noting():
assert True
| """knot> pytest tests """
def test_noting():
assert True |
#********************************************************************
# Filename: SingletonPattern_With.Metaclass.py
# Author: Javier Montenegro (https://javiermontenegro.github.io/)
# Copyright:
# Details: This code is the implementation of the singleton pattern.
#*********************************************************************
class MetaSingleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super(MetaSingleton, cls).__call__(*args, **kwargs)
return cls._instances[cls]
class Logger(metaclass=MetaSingleton):
pass
if __name__ == "__main__":
logger1 = Logger()
logger2 = Logger()
# Reffer to same object.
print(logger1, logger2)
| class Metasingleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super(MetaSingleton, cls).__call__(*args, **kwargs)
return cls._instances[cls]
class Logger(metaclass=MetaSingleton):
pass
if __name__ == '__main__':
logger1 = logger()
logger2 = logger()
print(logger1, logger2) |
def junta_listas(listas):
planarizada = []
for lista in listas:
for e in lista:
planarizada.append(e)
return planarizada
lista = [[1, 2, 3], [4, 5, 6], [7, 8], [9], [10]]
print(junta_listas(lista)) | def junta_listas(listas):
planarizada = []
for lista in listas:
for e in lista:
planarizada.append(e)
return planarizada
lista = [[1, 2, 3], [4, 5, 6], [7, 8], [9], [10]]
print(junta_listas(lista)) |
S = input()
n = S.count("N")
s = S.count("S")
e = S.count("E")
w = S.count("W")
home = False
if n and s:
if e and w:
print("Yes")
elif not e and not w:
print("Yes")
else:
print("No")
elif not n and not s:
if e and w:
print("Yes")
elif not e and not w:
print("Yes")
else:
print("No")
else:
print("No")
| s = input()
n = S.count('N')
s = S.count('S')
e = S.count('E')
w = S.count('W')
home = False
if n and s:
if e and w:
print('Yes')
elif not e and (not w):
print('Yes')
else:
print('No')
elif not n and (not s):
if e and w:
print('Yes')
elif not e and (not w):
print('Yes')
else:
print('No')
else:
print('No') |
# lec5prob9-semordnilap.py
# edX MITx 6.00.1x
# Introduction to Computer Science and Programming Using Python
# Lecture 5, problem 9
# A semordnilap is a word or a phrase that spells a different word when backwards
# ("semordnilap" is a semordnilap of "palindromes"). Here are some examples:
#
# nametag / gateman
# dog / god
# live / evil
# desserts / stressed
#
# Write a recursive program, semordnilap, that takes in two words and says if
# they are semordnilap.
def semordnilap(str1, str2):
'''
str1: a string
str2: a string
returns: True if str1 and str2 are semordnilap;
False otherwise.
'''
# Your code here
# Check to see if both strings are empty
if not (len(str1) or len(str2)): return True
# Check to see if only one string is empty
if not (len(str1) and len(str2)): return False
# Check to see if first char of str1 = last of str2
# If not, no further comparison needed, return False
if str1[0] != str2[-1]: return False
return semordnilap(str1[1:], str2[:-1])
# Performing a semordnilap comparison using slicing notation,
# but this is not valid for this assigment
# elif str1 == str2[::-1]:
# return True
# Example of calling semordnilap()
theResult = semordnilap('may', 'yam')
print (str(theResult))
| def semordnilap(str1, str2):
"""
str1: a string
str2: a string
returns: True if str1 and str2 are semordnilap;
False otherwise.
"""
if not (len(str1) or len(str2)):
return True
if not (len(str1) and len(str2)):
return False
if str1[0] != str2[-1]:
return False
return semordnilap(str1[1:], str2[:-1])
the_result = semordnilap('may', 'yam')
print(str(theResult)) |
__title__ = 'fobi.contrib.plugins.form_elements.fields.' \
'hidden_model_object.default'
__author__ = 'Artur Barseghyan <[email protected]>'
__copyright__ = 'Copyright (c) 2014-2017 Artur Barseghyan'
__license__ = 'GPL 2.0/LGPL 2.1'
__all__ = ('IGNORED_MODELS',)
IGNORED_MODELS = []
| __title__ = 'fobi.contrib.plugins.form_elements.fields.hidden_model_object.default'
__author__ = 'Artur Barseghyan <[email protected]>'
__copyright__ = 'Copyright (c) 2014-2017 Artur Barseghyan'
__license__ = 'GPL 2.0/LGPL 2.1'
__all__ = ('IGNORED_MODELS',)
ignored_models = [] |
# Description: Sequence Built-in Methods
# Sequence Methods
word = 'Hello'
print(len(word[1:3])) # 2
print(ord('A')) # 65
print(chr(65)) # A
print(str(65)) # 65
# Looping Sequence
# 1. The position index and corresponding value can be retrieved at the same time using the enumerate() function.
for i, v in enumerate(['tic', 'tac', 'toe']):
print(i, v)
# Looping Multiple Sequences
# 1. To loop over two or more sequences at the same time, the entries can be paired with the zip() function.
questions = ['name', 'quest', 'favorite color']
answers = ['lancelot', 'the holy grail', 'blue']
for q, a in zip(questions, answers):
print('What is your {0}? It is {1}.'.format(q, a))
# Looping in Reverse Order
for i in reversed(range(1, 10, 2)):
print(i)
# Looping in sorted order
basket = ['apple', 'orange', 'apple', 'pear', 'orange', 'banana']
for fruit in sorted(set(basket)):
print(fruit)
| word = 'Hello'
print(len(word[1:3]))
print(ord('A'))
print(chr(65))
print(str(65))
for (i, v) in enumerate(['tic', 'tac', 'toe']):
print(i, v)
questions = ['name', 'quest', 'favorite color']
answers = ['lancelot', 'the holy grail', 'blue']
for (q, a) in zip(questions, answers):
print('What is your {0}? It is {1}.'.format(q, a))
for i in reversed(range(1, 10, 2)):
print(i)
basket = ['apple', 'orange', 'apple', 'pear', 'orange', 'banana']
for fruit in sorted(set(basket)):
print(fruit) |
__author__ = "Inada Naoki <[email protected]>"
version_info = (1,4,2,'final',0)
__version__ = "1.4.2"
| __author__ = 'Inada Naoki <[email protected]>'
version_info = (1, 4, 2, 'final', 0)
__version__ = '1.4.2' |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.00614237,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.207513,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.0303174,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.144989,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.251068,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.143995,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.540052,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.138668,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 5.18734,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00572761,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00525596,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.040423,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.038871,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0461506,
'Execution Unit/Register Files/Runtime Dynamic': 0.044127,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0993613,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.246254,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 1.44332,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00141613,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00141613,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00124171,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000485201,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000558386,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00463235,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0132827,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0373677,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.37691,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.117954,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.126918,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.71254,
'Instruction Fetch Unit/Runtime Dynamic': 0.300154,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0873171,
'L2/Runtime Dynamic': 0.0261277,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.17728,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.491529,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0304163,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0304164,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.32149,
'Load Store Unit/Runtime Dynamic': 0.671949,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0750014,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.150003,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0266182,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0279272,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.147787,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0193444,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.352303,
'Memory Management Unit/Runtime Dynamic': 0.0472716,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 17.2227,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0199827,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.00765439,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0750745,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.102712,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 2.59154,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.00310047,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.205123,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.0152966,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0679507,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
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'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.109602,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0553234,
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'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.232876,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.0753712,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 3.99799,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00288986,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00285016,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0218299,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0210787,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0247198,
'Execution Unit/Register Files/Runtime Dynamic': 0.0239288,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0467649,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.116768,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 0.984073,
'Execution Unit/Subthreshold Leakage': 1.79543,
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'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000744305,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000744305,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000658387,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000260395,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000302797,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00244979,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00677554,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0202635,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.28893,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.060666,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0688238,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 3.57,
'Instruction Fetch Unit/Runtime Dynamic': 0.158979,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0446739,
'L2/Runtime Dynamic': 0.0144724,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 1.74675,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.267023,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0164876,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0164876,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.8246,
'Load Store Unit/Runtime Dynamic': 0.364822,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0406556,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.081311,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0144288,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0150982,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.0801409,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.00994995,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.261036,
'Memory Management Unit/Runtime Dynamic': 0.0250481,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 13.2878,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.00760166,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.00315826,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0346102,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0453702,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 1.59276,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.00284541,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.204923,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.0136698,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0702686,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.113341,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0572105,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.24082,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.078271,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.00094,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00258252,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00294738,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0224475,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0217977,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.02503,
'Execution Unit/Register Files/Runtime Dynamic': 0.0247451,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0480021,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.118752,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 0.994617,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000832841,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000832841,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000733331,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00028822,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000313125,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00271214,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00770199,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0209547,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.33289,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0685893,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0711715,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 3.6161,
'Instruction Fetch Unit/Runtime Dynamic': 0.17113,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0420885,
'L2/Runtime Dynamic': 0.0122313,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 1.73161,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.256355,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0159978,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0159977,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.80715,
'Load Store Unit/Runtime Dynamic': 0.351248,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0394478,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.0788953,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0140001,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.014631,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.0828745,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.011248,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.263033,
'Memory Management Unit/Runtime Dynamic': 0.025879,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 13.3188,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0067936,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.003253,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0356485,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0456951,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 1.6008,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.00224742,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.204454,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.0108716,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0730174,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.117774,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0594486,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.25024,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.0818435,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.00276,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00205387,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00306268,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0230397,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0226504,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0250936,
'Execution Unit/Register Files/Runtime Dynamic': 0.0257131,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0491003,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.12115,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.00693,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000924954,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000924954,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000812503,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00031829,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000325375,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00298779,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00862293,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0217744,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.38504,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0787611,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0739556,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 3.67077,
'Instruction Fetch Unit/Runtime Dynamic': 0.186102,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0378135,
'L2/Runtime Dynamic': 0.00922845,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 1.71739,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.244396,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0155378,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0155378,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.79076,
'Load Store Unit/Runtime Dynamic': 0.336561,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0383135,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.0766271,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0135976,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0141645,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.0861164,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0129149,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.265584,
'Memory Management Unit/Runtime Dynamic': 0.0270794,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 13.3572,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.00540304,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0033601,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0369423,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0457054,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 1.61161,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 6.846855329007461,
'Runtime Dynamic': 6.846855329007461,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.380719,
'Runtime Dynamic': 0.170717,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 57.5671,
'Peak Power': 90.6793,
'Runtime Dynamic': 7.56743,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 57.1864,
'Total Cores/Runtime Dynamic': 7.39671,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.380719,
'Total L3s/Runtime Dynamic': 0.170717,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} | power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.00614237, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.207513, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.0303174, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.144989, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.251068, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.143995, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 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'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.126918, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 4.71254, 'Instruction Fetch Unit/Runtime Dynamic': 0.300154, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0873171, 'L2/Runtime Dynamic': 0.0261277, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 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'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0750745, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.102712, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 2.59154, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.00310047, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.205123, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.0152966, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0679507, 'Execution 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'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000744305, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000744305, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with 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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000832841, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000733331, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 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'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00770199, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0209547, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.33289, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0685893, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0711715, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 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'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0730174, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction 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Dynamic': 0.12115, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 1.00693, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000924954, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000924954, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000812503, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00031829, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000325375, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00298779, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00862293, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0217744, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.38504, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0787611, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0739556, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 3.67077, 'Instruction Fetch Unit/Runtime Dynamic': 0.186102, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0378135, 'L2/Runtime Dynamic': 0.00922845, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 1.71739, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.244396, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0155378, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0155378, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 1.79076, 'Load Store Unit/Runtime Dynamic': 0.336561, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0383135, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.0766271, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0135976, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0141645, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.0861164, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0129149, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.265584, 'Memory Management Unit/Runtime Dynamic': 0.0270794, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 13.3572, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.00540304, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0033601, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0369423, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.0457054, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 1.61161, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 6.846855329007461, 'Runtime Dynamic': 6.846855329007461, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.380719, 'Runtime Dynamic': 0.170717, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 57.5671, 'Peak Power': 90.6793, 'Runtime Dynamic': 7.56743, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 57.1864, 'Total Cores/Runtime Dynamic': 7.39671, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.380719, 'Total L3s/Runtime Dynamic': 0.170717, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} |
budget = float(input())
statists = int(input())
one_costume_price = float(input())
decor_price = 0.1 * budget
costumes_price = statists * one_costume_price
if statists >= 150:
costumes_price -= 0.1 * costumes_price
total_price = decor_price + costumes_price
money_left = budget - total_price
money_needed = total_price - budget
if money_left < 0:
print("Not enough money!")
print(f"Wingard needs {money_needed:.2f} leva more.")
else:
print("Action!")
print(f"Wingard starts filming with {money_left:.2f} leva left.")
| budget = float(input())
statists = int(input())
one_costume_price = float(input())
decor_price = 0.1 * budget
costumes_price = statists * one_costume_price
if statists >= 150:
costumes_price -= 0.1 * costumes_price
total_price = decor_price + costumes_price
money_left = budget - total_price
money_needed = total_price - budget
if money_left < 0:
print('Not enough money!')
print(f'Wingard needs {money_needed:.2f} leva more.')
else:
print('Action!')
print(f'Wingard starts filming with {money_left:.2f} leva left.') |
'''
Created on Jan 19, 2016
@author: elefebvre
'''
| """
Created on Jan 19, 2016
@author: elefebvre
""" |
a=int(input())
b=int(input())
if a>b:a,b=b,a
for i in range(a+1,b):
if i%5==2 or i%5==3:print(i)
| a = int(input())
b = int(input())
if a > b:
(a, b) = (b, a)
for i in range(a + 1, b):
if i % 5 == 2 or i % 5 == 3:
print(i) |
class Solution:
def permute(self, nums: List[int]) -> List[List[int]]:
res = []
def backtrack(nums, temp):
if not nums:
res.append(temp)
return
for i in range(len(nums)):
backtrack(nums[:i]+nums[i+1:], temp+[nums[i]])
backtrack(nums, [])
return res
| class Solution:
def permute(self, nums: List[int]) -> List[List[int]]:
res = []
def backtrack(nums, temp):
if not nums:
res.append(temp)
return
for i in range(len(nums)):
backtrack(nums[:i] + nums[i + 1:], temp + [nums[i]])
backtrack(nums, [])
return res |
class LibTiffPackage (Package):
def __init__(self):
Package.__init__(self, 'tiff', '4.0.9',
configure_flags=[
],
sources=[
'http://download.osgeo.org/libtiff/tiff-%{version}.tar.gz',
])
self.needs_lipo = True
LibTiffPackage()
| class Libtiffpackage(Package):
def __init__(self):
Package.__init__(self, 'tiff', '4.0.9', configure_flags=[], sources=['http://download.osgeo.org/libtiff/tiff-%{version}.tar.gz'])
self.needs_lipo = True
lib_tiff_package() |
''' Encapsulation : Part 1
Encapsulation is the process of restricting access to methods and variables in a class in order to prevent direct data modification so that it prevents accidental data modification.
Encapsulation basically allows the internal representation of an object to be hidden from the view outside of the objects definition.
Public methods and variables can be accessed from anywhere within the program.
Private methods and variables are accessible from their own class.
Double underscore prefix before object name makes it private'
Encapsulation Part 2: 40
Encapsulation Part: 3 70
'''
# class Cars:
# def __init__(self,speed, color):
# self.speed = speed
# self.color = color
# def set_speed(self,value):
# self.speed = value
# def get_speed(self):
# return self.speed
# Encapsulation Part 2: 40
# class Cars:
# def __init__(self,speed, color):
# self.speed = speed
# self.color = color
# def set_speed(self,value):
# self.speed = value
# def get_speed(self):
# return self.speed
# ford = Cars(250,"green")
# nissan = Cars(300,"red")
# toyota = Cars(350, "blue")
# # ford.set_speed(450) # If I wanted to chang he value of the speed after the instantiantion, I can do that by using the name of the instance and the method.
# ford.speed = 500 # I can also access the speed variable directly without the method and change the value. I'm able to do this because there is no encapsulation in place.
# print(ford.get_speed()) # 500
# print(ford) # <__main__.Cars object at 0x000002AA04FC60A0>
# print(ford.color) # green
# Encapsulation Part: 3 70
class Cars:
def __init__(self,speed, color):
self.__speed = speed # The double underscore makes the variable 'speed' private. It is now difficult to change the value of the variable directly from outside the methods in the class.
self.__color = color
def set_speed(self,value):
self.__speed = value
def get_speed(self):
return self.__speed
ford = Cars(250,"green")
nissan = Cars(300,"red")
toyota = Cars(350, "blue")
# ford.set_speed(450) # If I wanted to chang he value of the speed after the instantiantion, I can do that by using the name of the instance and the method.
ford.speed = 500 # I can also access the speed variable directly without the method and change the value. I'm able to do this because there is no encapsulation in place.
# print(ford.get_speed()) # 250
# print(ford) # <__main__.Cars object at 0x000002AA04FC60A0>
# # print(ford.color) # Traceback (most recent call last):
# # # File "/home/rich/CarlsHub/Comprehensive-Python/ClassFiles/OOP/Encapsulation.py", line 92, in <module>
# # # print(ford.color) # green
# # # AttributeError: 'Cars' object has no attribute 'color'
# print(ford.__color)
print(ford.get_speed()) # 250
print(ford.__color) # Traceback (most recent call last):
# File "/home/rich/CarlsHub/Comprehensive-Python/ClassFiles/OOP/Encapsulation.py", line 100, in <module>
# print(ford.__color) # <__main__.Cars object at 0x000002AA04FC60A0>
# AttributeError: 'Cars' object has no attribute '__color'
| """ Encapsulation : Part 1
Encapsulation is the process of restricting access to methods and variables in a class in order to prevent direct data modification so that it prevents accidental data modification.
Encapsulation basically allows the internal representation of an object to be hidden from the view outside of the objects definition.
Public methods and variables can be accessed from anywhere within the program.
Private methods and variables are accessible from their own class.
Double underscore prefix before object name makes it private'
Encapsulation Part 2: 40
Encapsulation Part: 3 70
"""
class Cars:
def __init__(self, speed, color):
self.__speed = speed
self.__color = color
def set_speed(self, value):
self.__speed = value
def get_speed(self):
return self.__speed
ford = cars(250, 'green')
nissan = cars(300, 'red')
toyota = cars(350, 'blue')
ford.speed = 500
print(ford.get_speed())
print(ford.__color) |
class UndefinedMockBehaviorError(Exception):
pass
class MethodWasNotCalledError(Exception):
pass
| class Undefinedmockbehaviorerror(Exception):
pass
class Methodwasnotcallederror(Exception):
pass |
class Solution:
def decodeString(self, s: str) -> str:
St = []
num = 0
curr = ''
for c in s:
if c.isdigit():
num = num*10 + int(c)
elif c == '[':
St.append([num, curr])
num = 0
curr = ''
elif c == ']':
count, prev = St.pop()
curr = prev + count*curr
else:
curr += c
return curr
class Solution2:
def decodeString(self, s: str) -> str:
i = 0
def decode(s):
nonlocal i
result = []
while i < len(s) and s[i] != ']':
if s[i].isdigit():
num = 0
while i < len(s) and s[i].isdigit():
num = num*10 + int(s[i])
i += 1
i += 1
temp = decode(s)
i += 1
result += temp*num
else:
result.append(s[i])
i += 1
return result
return ''.join(decode(s))
| class Solution:
def decode_string(self, s: str) -> str:
st = []
num = 0
curr = ''
for c in s:
if c.isdigit():
num = num * 10 + int(c)
elif c == '[':
St.append([num, curr])
num = 0
curr = ''
elif c == ']':
(count, prev) = St.pop()
curr = prev + count * curr
else:
curr += c
return curr
class Solution2:
def decode_string(self, s: str) -> str:
i = 0
def decode(s):
nonlocal i
result = []
while i < len(s) and s[i] != ']':
if s[i].isdigit():
num = 0
while i < len(s) and s[i].isdigit():
num = num * 10 + int(s[i])
i += 1
i += 1
temp = decode(s)
i += 1
result += temp * num
else:
result.append(s[i])
i += 1
return result
return ''.join(decode(s)) |
# Belajar default argument value
#defaul name berfungsi memberikan pengisian default pada parameter
#sehingga pengisian parameter bersifat opsional
def say_hello(nama="aris"): #menggunakan sama dengan lalu ketik default value nya
print(f"Hello {nama}!")
say_hello("karachi")
say_hello() #akan error jika tidak default argumen tidak dipasang, tetapi jika dipasang maka akan keluar hasil yg default
#bagaimana jika menggunakan lebih dari 1 parameter
def says_hello(nama_pertama="uchiha", nama_kedua=""): #ketika ada 2 parameter, jika ingin dipasang defaul argument, maka harus 22nya dipasang
print(f"Hello {nama_pertama}-{nama_kedua}!")
says_hello("muhammad", "aris") #auto terpasang berurutan
says_hello(nama_kedua="shishui") #ketik parameter lalu sama dengan, maka akan terpasang di parameter tsb
says_hello(nama_kedua="uchiha", nama_pertama="madara") #pemasangan argumen parameter (ex: madara) boleh acak, ketika ada deklarasi parameternya
says_hello(nama_kedua="obito") | def say_hello(nama='aris'):
print(f'Hello {nama}!')
say_hello('karachi')
say_hello()
def says_hello(nama_pertama='uchiha', nama_kedua=''):
print(f'Hello {nama_pertama}-{nama_kedua}!')
says_hello('muhammad', 'aris')
says_hello(nama_kedua='shishui')
says_hello(nama_kedua='uchiha', nama_pertama='madara')
says_hello(nama_kedua='obito') |
# getattr(object, name[, default])
class C:
def A(self): pass
print(getattr(C, 'A'))
| class C:
def a(self):
pass
print(getattr(C, 'A')) |
#
# Copyright (C) 2017 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 0
i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 1
i3 = Input("op3", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 2
axis0 = Int32Scalar("axis0", 3)
r = Output("result", "TENSOR_FLOAT32", "{1, 2, 3, 6}") # output
model = model.Operation("CONCATENATION", i1, i2, i3, axis0).To(r)
# Example 1.
input0 = {i1: [-0.03203143, -0.0334147 , -0.02527265, 0.04576106, 0.08869292,
0.06428383, -0.06473722, -0.21933985, -0.05541003, -0.24157837,
-0.16328812, -0.04581105],
i2: [-0.0569439 , -0.15872048, 0.02965238, -0.12761882, -0.00185435,
-0.03297619, 0.03581043, -0.12603407, 0.05999133, 0.00290503,
0.1727029 , 0.03342071],
i3: [ 0.10992613, 0.09185287, 0.16433905, -0.00059073, -0.01480746,
0.0135175 , 0.07129054, -0.15095694, -0.04579685, -0.13260484,
-0.10045543, 0.0647094 ]}
output0 = {r: [-0.03203143, -0.0334147 , -0.0569439 , -0.15872048, 0.10992613,
0.09185287, -0.02527265, 0.04576106, 0.02965238, -0.12761882,
0.16433905, -0.00059073, 0.08869292, 0.06428383, -0.00185435,
-0.03297619, -0.01480746, 0.0135175 , -0.06473722, -0.21933985,
0.03581043, -0.12603407, 0.07129054, -0.15095694, -0.05541003,
-0.24157837, 0.05999133, 0.00290503, -0.04579685, -0.13260484,
-0.16328812, -0.04581105, 0.1727029 , 0.03342071, -0.10045543,
0.0647094 ]}
# Instantiate an example
Example((input0, output0))
'''
# The above data was generated with the code below:
with tf.Session() as sess:
t1 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)
t2 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)
t3 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)
c1 = tf.concat([t1, t2, t3], axis=3)
print(c1) # print shape
print( sess.run([tf.reshape(t1, [12]),
tf.reshape(t2, [12]),
tf.reshape(t3, [12]),
tf.reshape(c1, [1*2*3*(2*3)])]))
'''
| model = model()
i1 = input('op1', 'TENSOR_FLOAT32', '{1, 2, 3, 2}')
i2 = input('op2', 'TENSOR_FLOAT32', '{1, 2, 3, 2}')
i3 = input('op3', 'TENSOR_FLOAT32', '{1, 2, 3, 2}')
axis0 = int32_scalar('axis0', 3)
r = output('result', 'TENSOR_FLOAT32', '{1, 2, 3, 6}')
model = model.Operation('CONCATENATION', i1, i2, i3, axis0).To(r)
input0 = {i1: [-0.03203143, -0.0334147, -0.02527265, 0.04576106, 0.08869292, 0.06428383, -0.06473722, -0.21933985, -0.05541003, -0.24157837, -0.16328812, -0.04581105], i2: [-0.0569439, -0.15872048, 0.02965238, -0.12761882, -0.00185435, -0.03297619, 0.03581043, -0.12603407, 0.05999133, 0.00290503, 0.1727029, 0.03342071], i3: [0.10992613, 0.09185287, 0.16433905, -0.00059073, -0.01480746, 0.0135175, 0.07129054, -0.15095694, -0.04579685, -0.13260484, -0.10045543, 0.0647094]}
output0 = {r: [-0.03203143, -0.0334147, -0.0569439, -0.15872048, 0.10992613, 0.09185287, -0.02527265, 0.04576106, 0.02965238, -0.12761882, 0.16433905, -0.00059073, 0.08869292, 0.06428383, -0.00185435, -0.03297619, -0.01480746, 0.0135175, -0.06473722, -0.21933985, 0.03581043, -0.12603407, 0.07129054, -0.15095694, -0.05541003, -0.24157837, 0.05999133, 0.00290503, -0.04579685, -0.13260484, -0.16328812, -0.04581105, 0.1727029, 0.03342071, -0.10045543, 0.0647094]}
example((input0, output0))
'\n# The above data was generated with the code below:\n\nwith tf.Session() as sess:\n\n t1 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)\n t2 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)\n t3 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32)\n c1 = tf.concat([t1, t2, t3], axis=3)\n\n print(c1) # print shape\n print( sess.run([tf.reshape(t1, [12]),\n tf.reshape(t2, [12]),\n tf.reshape(t3, [12]),\n tf.reshape(c1, [1*2*3*(2*3)])]))\n' |
class PseudoData(dict):
def __init__(self, name_func_dict, sweep):
super(PseudoData, self).__init__()
self.name_func_dict = name_func_dict
self.sweep = sweep
def __getitem__(self, key):
if key in self.keys():
return dict.__getitem__(self, key)
elif key in self.name_func_dict:
func = self.name_func_dict[key]['func']
pcol = func(self.sweep.data, self.sweep.pdata, self.sweep.meta)
self.__setitem__(key, pcol)
return pcol
else:
return dict.__getitem__(self, key)
def get_names(self):
names = [k for k, v in self.name_func_dict.items() if 'func' in v]
names.sort()
return names
| class Pseudodata(dict):
def __init__(self, name_func_dict, sweep):
super(PseudoData, self).__init__()
self.name_func_dict = name_func_dict
self.sweep = sweep
def __getitem__(self, key):
if key in self.keys():
return dict.__getitem__(self, key)
elif key in self.name_func_dict:
func = self.name_func_dict[key]['func']
pcol = func(self.sweep.data, self.sweep.pdata, self.sweep.meta)
self.__setitem__(key, pcol)
return pcol
else:
return dict.__getitem__(self, key)
def get_names(self):
names = [k for (k, v) in self.name_func_dict.items() if 'func' in v]
names.sort()
return names |
# LAB EXERCISE 05
print('Lab Exercise 05 \n')
# SETUP
pop_tv_shows = [
{"Title": "WandaVision", "Creator": ["Jac Schaeffer"], "Rating": 8.2, "Genre": "Action"},
{"Title": "Attack on Titan", "Creator": ["Hajime Isayama"], "Rating": 8.9, "Genre": "Animation"},
{"Title": "Bridgerton", "Creator": ["Chris Van Dusen"], "Rating": 7.3, "Genre": "Drama"},
{"Title": "Game of Thrones", "Creator": ["David Benioff", "D.B. Weiss"], "Rating": 9.3, "Genre": "Action"},
{"Title": "The Mandalorian", "Creator": ["Jon Favreau"], "Rating": 8.8, "Genre": "Action"},
{"Title": "The Queen's Gambit", "Creator": ["Scott Frank", "Allan Scott"], "Rating": 8.6, "Genre": "Drama"},
{"Title": "Schitt's Creek", "Creator": ["Dan Levy", "Eugene Levy"], "Rating": 8.5, "Genre": "Comedy"},
{"Title": "The Equalizer", "Creator": ["Andrew W. Marlowe", "Terri Edda Miller"], "Rating": 4.3, "Genre": "Action"},
{"Title": "Your Honor", "Creator": ["Peter Moffat"], "Rating": 7.9, "Genre": "Crime"},
{"Title": "Cobra Kai", "Creator": ["Jon Hurwitz", "Hayden Schlossberg", "Josh Heald"] , "Rating": 8.6, "Genre": "Action"}
]
# END SETUP
# Problem 01 (4 points)
print('/nProblem 01')
action_shows = []
for show in pop_tv_shows:
if show['Genre'] == 'Action':
action_shows.append(show['Title'])
print(f'Action show list:{action_shows}')
# Problem 02 (4 points)
print('/nProblem 02')
high_rating = 0
highest_rated_show = None
for show in pop_tv_shows:
if show["Rating"] > high_rating:
high_rating = show["Rating"]
highest_rated_show = show["Title"]
print(f'Highest rated show is {highest_rated_show} with a rating of {high_rating}')
# Problem 03 (4 points)
print('/nProblem 03')
low_rating = 10
lowest_rated_show = None
for show in pop_tv_shows:
if show["Rating"] < low_rating and show['Genre'] != "Action":
low_rating = show["Rating"]
lowest_rated_show = show["Title"]
print(f'Lowest rated non-action show is {lowest_rated_show} with a rating of {low_rating}')
# Problem 04 (4 points)
print('/nProblem 04')
multiple_creators = []
for show in pop_tv_shows:
if len(show["Creator"]) > 1:
multiple_creators.append(show["Title"])
print(f'Show with multiple creators: {multiple_creators}')
# Problem 05 (4 points)
print('/nProblem 05')
show_genre = []
for show in pop_tv_shows:
if show['Genre'] not in ["Action", "Drama"] or show["Rating"] >= 9:
item = {'Title': show['Title'], 'Genre': show['Genre']}
show_genre.append(item)
print(f'Show and genre: {show_genre}') | print('Lab Exercise 05 \n')
pop_tv_shows = [{'Title': 'WandaVision', 'Creator': ['Jac Schaeffer'], 'Rating': 8.2, 'Genre': 'Action'}, {'Title': 'Attack on Titan', 'Creator': ['Hajime Isayama'], 'Rating': 8.9, 'Genre': 'Animation'}, {'Title': 'Bridgerton', 'Creator': ['Chris Van Dusen'], 'Rating': 7.3, 'Genre': 'Drama'}, {'Title': 'Game of Thrones', 'Creator': ['David Benioff', 'D.B. Weiss'], 'Rating': 9.3, 'Genre': 'Action'}, {'Title': 'The Mandalorian', 'Creator': ['Jon Favreau'], 'Rating': 8.8, 'Genre': 'Action'}, {'Title': "The Queen's Gambit", 'Creator': ['Scott Frank', 'Allan Scott'], 'Rating': 8.6, 'Genre': 'Drama'}, {'Title': "Schitt's Creek", 'Creator': ['Dan Levy', 'Eugene Levy'], 'Rating': 8.5, 'Genre': 'Comedy'}, {'Title': 'The Equalizer', 'Creator': ['Andrew W. Marlowe', 'Terri Edda Miller'], 'Rating': 4.3, 'Genre': 'Action'}, {'Title': 'Your Honor', 'Creator': ['Peter Moffat'], 'Rating': 7.9, 'Genre': 'Crime'}, {'Title': 'Cobra Kai', 'Creator': ['Jon Hurwitz', 'Hayden Schlossberg', 'Josh Heald'], 'Rating': 8.6, 'Genre': 'Action'}]
print('/nProblem 01')
action_shows = []
for show in pop_tv_shows:
if show['Genre'] == 'Action':
action_shows.append(show['Title'])
print(f'Action show list:{action_shows}')
print('/nProblem 02')
high_rating = 0
highest_rated_show = None
for show in pop_tv_shows:
if show['Rating'] > high_rating:
high_rating = show['Rating']
highest_rated_show = show['Title']
print(f'Highest rated show is {highest_rated_show} with a rating of {high_rating}')
print('/nProblem 03')
low_rating = 10
lowest_rated_show = None
for show in pop_tv_shows:
if show['Rating'] < low_rating and show['Genre'] != 'Action':
low_rating = show['Rating']
lowest_rated_show = show['Title']
print(f'Lowest rated non-action show is {lowest_rated_show} with a rating of {low_rating}')
print('/nProblem 04')
multiple_creators = []
for show in pop_tv_shows:
if len(show['Creator']) > 1:
multiple_creators.append(show['Title'])
print(f'Show with multiple creators: {multiple_creators}')
print('/nProblem 05')
show_genre = []
for show in pop_tv_shows:
if show['Genre'] not in ['Action', 'Drama'] or show['Rating'] >= 9:
item = {'Title': show['Title'], 'Genre': show['Genre']}
show_genre.append(item)
print(f'Show and genre: {show_genre}') |
__author__ = 'chira'
# "return" used for mathematical function composition
def f(x): # x is an INPUT
y = 2*x + 3
return y # y is an OUTPUT
def g(x): # x is an INPUT
y = pow(x,2)
return y # y is an OUTPUT
def h(x,y): # x and y are INPUTS
z = pow(x,2) + 3*y;
return z # z is an OUTPUT
output = 0 # initializing a variable to store return values
output = f(1) # return form "f" stored in output
print("f(%d) = %d" %(1,output))
output = g(5)
print("g(%d) = %d" %(5,output))
output = f(25)
print("f(%d) = %d" %(25,output))
output = f(g(5)) # return form "g" is input to "f"
print("f(g(%d)) = %d" %(5,output))
output = h(5,25)
print("h(%d,%d) = %d" %(5,25,output))
output = h(f(1),g(5)) # returns form "f" and "g" are inputs to "h"
print("h(f(%d),g(%d)) = %d" %(1,5,output))
| __author__ = 'chira'
def f(x):
y = 2 * x + 3
return y
def g(x):
y = pow(x, 2)
return y
def h(x, y):
z = pow(x, 2) + 3 * y
return z
output = 0
output = f(1)
print('f(%d) = %d' % (1, output))
output = g(5)
print('g(%d) = %d' % (5, output))
output = f(25)
print('f(%d) = %d' % (25, output))
output = f(g(5))
print('f(g(%d)) = %d' % (5, output))
output = h(5, 25)
print('h(%d,%d) = %d' % (5, 25, output))
output = h(f(1), g(5))
print('h(f(%d),g(%d)) = %d' % (1, 5, output)) |
def balancedSums(arr):
if n == 1:
return 'YES'
sumL = 0
sumR = 0
i =0
j = n-1
while i <= j:
if i ==j and sumL == sumR:
return 'YES'
elif sumL > sumR:
sumR+=arr[j]
j =j-1
else:
sumL+=arr[i]
i =i +1
return 'NO'
arr = [0 ,0 ,2, 0]
n = len(arr)
print(balancedSums(arr)) | def balanced_sums(arr):
if n == 1:
return 'YES'
sum_l = 0
sum_r = 0
i = 0
j = n - 1
while i <= j:
if i == j and sumL == sumR:
return 'YES'
elif sumL > sumR:
sum_r += arr[j]
j = j - 1
else:
sum_l += arr[i]
i = i + 1
return 'NO'
arr = [0, 0, 2, 0]
n = len(arr)
print(balanced_sums(arr)) |
def perfect_square(x):
if (x == 0 or x == 1):
return x
i = 1
result = 1
while (result <= x):
i += 1
result = i * i
return i - 1
x = int(input('Enter no.'))
print(perfect_square(x))
| def perfect_square(x):
if x == 0 or x == 1:
return x
i = 1
result = 1
while result <= x:
i += 1
result = i * i
return i - 1
x = int(input('Enter no.'))
print(perfect_square(x)) |
# Default delimiters
INPUT1 = '''
pid 2
uptime 675
version 1.2.5 END
pid 1
uptime 2
version 3
END
'''
OUTPUT1 = '''{"pid": "2", "uptime": "675", "version": "1.2.5"}
{"pid": "1", "uptime": "2", "version": "3"}
'''
# --field-delim '=', --record-delim '%\n'
INPUT2 = '''
a=1
b=2
c=3
%
d=4
e=5
f=6
%
'''
OUTPUT2 = '''{"a": "1", "b": "2", "c": "3"}
{"d": "4", "e": "5", "f": "6"}
'''
# --field-delim '=', --entry-delim '|' --record-delim '%\n'
INPUT3 = '''
a=1|b=2|c=3%
d=4|e=5|f=6%
'''
OUTPUT3 = '''{"a": "1", "b": "2", "c": "3"}
{"d": "4", "e": "5", "f": "6"}
'''
# --field-delim '=', --entry-delim '|' --record-delim '%'
INPUT4 = '''
a=1|b=2|c=3%d=4|e=5|f=6%
'''
OUTPUT4 = '''{"a": "1", "b": "2", "c": "3"}
{"d": "4", "e": "5", "f": "6"}
'''
| input1 = '\npid 2\nuptime 675\nversion 1.2.5 END\npid 1\nuptime 2\nversion 3\nEND\n'
output1 = '{"pid": "2", "uptime": "675", "version": "1.2.5"}\n{"pid": "1", "uptime": "2", "version": "3"}\n'
input2 = '\na=1\nb=2\nc=3\n%\nd=4\ne=5\nf=6\n%\n'
output2 = '{"a": "1", "b": "2", "c": "3"}\n{"d": "4", "e": "5", "f": "6"}\n'
input3 = '\na=1|b=2|c=3%\nd=4|e=5|f=6%\n'
output3 = '{"a": "1", "b": "2", "c": "3"}\n{"d": "4", "e": "5", "f": "6"}\n'
input4 = '\na=1|b=2|c=3%d=4|e=5|f=6%\n'
output4 = '{"a": "1", "b": "2", "c": "3"}\n{"d": "4", "e": "5", "f": "6"}\n' |
def capitalize(string):
sttings_upper = string.title()
for word in string.split():
words = word[:-1] + word[0-1].upper() + " "
return sttings_upper[:-1]
print(capitalize("GoLand is a new commercial IDE by JetBrains aimed at providing an ergonomic environment "
"for Go development. The new IDE extends the IntelliJ platform with coding assistance "
"and tool integrations specific for the Go language."))
| def capitalize(string):
sttings_upper = string.title()
for word in string.split():
words = word[:-1] + word[0 - 1].upper() + ' '
return sttings_upper[:-1]
print(capitalize('GoLand is a new commercial IDE by JetBrains aimed at providing an ergonomic environment for Go development. The new IDE extends the IntelliJ platform with coding assistance and tool integrations specific for the Go language.')) |
class Solution:
def compareVersion(self, version1: str, version2: str) -> int:
l1 = [int(s) for s in version1.split(".")]
l2 = [int(s) for s in version2.split(".")]
len1, len2 = len(l1), len(l2)
if len1 > len2:
l2 += [0] * (len1 - len2)
elif len1 < len2:
l1 += [0] * (len2 - len1)
return (l1 > l2) - (l1 < l2)
| class Solution:
def compare_version(self, version1: str, version2: str) -> int:
l1 = [int(s) for s in version1.split('.')]
l2 = [int(s) for s in version2.split('.')]
(len1, len2) = (len(l1), len(l2))
if len1 > len2:
l2 += [0] * (len1 - len2)
elif len1 < len2:
l1 += [0] * (len2 - len1)
return (l1 > l2) - (l1 < l2) |
############# constants
TITLE = "Cheese Maze"
DEVELOPER = "Jack Gartner"
HISTORY = "A mouse wants eat his cheese, Make it to the Hashtag to win, watch out for plus signs, $ is a teleport, P is a power up, Obtain the Key (K) in order to unlock the door (D)"
INSTRUCTIONS = "left arrow key\t\t\tto move left\nright arrow key\t\t\tto move right\nup arrow key\t\t\tto move up\ndown arrow key\t\t\tto move down\npress q\t\t\t\t\tto quit"
############# functions
def displayTitle():
print(TITLE)
print("By " + DEVELOPER)
print()
print(HISTORY)
print()
print(INSTRUCTIONS)
print()
def displayBoard():
print("-----------------")
print("| +\033[36mK\033[37m + \033[33mP\033[37m|")
print("|\033[32m#\033[37m \033[31mD\033[37m + |")
print("|++++ ++++++ |")
print("| + |")
print("| ++++++ +++++|")
print("| \033[34m$\033[37m|")
print("-----------------")
| title = 'Cheese Maze'
developer = 'Jack Gartner'
history = 'A mouse wants eat his cheese, Make it to the Hashtag to win, watch out for plus signs, $ is a teleport, P is a power up, Obtain the Key (K) in order to unlock the door (D)'
instructions = 'left arrow key\t\t\tto move left\nright arrow key\t\t\tto move right\nup arrow key\t\t\tto move up\ndown arrow key\t\t\tto move down\npress q\t\t\t\t\tto quit'
def display_title():
print(TITLE)
print('By ' + DEVELOPER)
print()
print(HISTORY)
print()
print(INSTRUCTIONS)
print()
def display_board():
print('-----------------')
print('| +\x1b[36mK\x1b[37m + \x1b[33mP\x1b[37m|')
print('|\x1b[32m#\x1b[37m \x1b[31mD\x1b[37m + |')
print('|++++ ++++++ |')
print('| + |')
print('| ++++++ +++++|')
print('| \x1b[34m$\x1b[37m|')
print('-----------------') |
score = float(input("Enter Score: "))
if score < 1 and score > 0:
if score >= 0.9:
print('A')
elif score >= 0.8:
print('B')
elif score >= 0.7:
print('C')
elif score >= 0.6:
print('D')
else:
print('F')
else:
print('Value of score is out of range.')
largest = None
smallest = None
while True:
num = input("Enter a number: ")
if num == "done" : break
try:
num = int(num)
except:
print('Invalid input')
continue
if largest is None:
largest = num
elif num > largest:
largest = num
elif smallest is None:
smallest = num
elif num < smallest:
smallest = num
#print(num)
print("Maximum is", largest)
print('Minimum is', smallest)
def computepay(h,r):
if h <= 40:
pay = h * r
else:
h1 = h - 40
pay = 40 * r + h1 *(r * 1.5)
return pay
hrs = input("Enter Hours:")
rate = input('Enter Rate:')
h = float(hrs)
r = float(rate)
p = computepay(h,r)
print("Pay",p)
| score = float(input('Enter Score: '))
if score < 1 and score > 0:
if score >= 0.9:
print('A')
elif score >= 0.8:
print('B')
elif score >= 0.7:
print('C')
elif score >= 0.6:
print('D')
else:
print('F')
else:
print('Value of score is out of range.')
largest = None
smallest = None
while True:
num = input('Enter a number: ')
if num == 'done':
break
try:
num = int(num)
except:
print('Invalid input')
continue
if largest is None:
largest = num
elif num > largest:
largest = num
elif smallest is None:
smallest = num
elif num < smallest:
smallest = num
print('Maximum is', largest)
print('Minimum is', smallest)
def computepay(h, r):
if h <= 40:
pay = h * r
else:
h1 = h - 40
pay = 40 * r + h1 * (r * 1.5)
return pay
hrs = input('Enter Hours:')
rate = input('Enter Rate:')
h = float(hrs)
r = float(rate)
p = computepay(h, r)
print('Pay', p) |
'''
Created on May 19, 2019
@author: ballance
'''
# TODO: implement simulation-access methods
# - yield
# - get sim time
# - ...
#
# The launcher will ultimately implement these methods
#
| """
Created on May 19, 2019
@author: ballance
""" |
def find_even_index(arr):
for index, int in enumerate(arr):
left = sum_range(arr, 0, index)
right = sum_range(arr, index, len(arr))
if left == right:
return index
return -1
def sum_range(arr, a, b):
return sum(arr[a:b + 1])
| def find_even_index(arr):
for (index, int) in enumerate(arr):
left = sum_range(arr, 0, index)
right = sum_range(arr, index, len(arr))
if left == right:
return index
return -1
def sum_range(arr, a, b):
return sum(arr[a:b + 1]) |
INSTALLED_APPS = (
"testapp",
)
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
SECRET_KEY = "django_tests_secret_key"
| installed_apps = ('testapp',)
databases = {'default': {'ENGINE': 'django.db.backends.sqlite3', 'NAME': ':memory:'}}
secret_key = 'django_tests_secret_key' |
# Databricks notebook source
# MAGIC %md # Run transform
# MAGIC this will load the schema, the raw txt tables, then transform the dataframes to structured dataframes.
# COMMAND ----------
# MAGIC %run ./transform
# COMMAND ----------
# MAGIC %md # Store
# MAGIC write the transformed dataframes to our base-path
# COMMAND ----------
for table in df_openalex_c:
target=f'{base_path}parquet/{table}'
if table in partition_sizes:
partitions=partition_sizes[table]
else:
partitions=partition_sizes['default']
if file_exists(target):
print(f'{target} already exists, skip')
else:
print(f'writing {target}')
df_openalex_c[table].repartition(partitions).write.format('parquet').save(target)
| for table in df_openalex_c:
target = f'{base_path}parquet/{table}'
if table in partition_sizes:
partitions = partition_sizes[table]
else:
partitions = partition_sizes['default']
if file_exists(target):
print(f'{target} already exists, skip')
else:
print(f'writing {target}')
df_openalex_c[table].repartition(partitions).write.format('parquet').save(target) |
# Ex4.
#
# Create a program that is going to take a whole number as an input, and will calculate the factorial of the number.
#
# Factorial example: 5! = 5 * 4 * 3 * 2 * 1 = 120
factorial = 1
number = int(input('Enter a number: '))
for i in range(1, number+1):
factorial *= i
print(f'Factorial of {number} is {factorial}') | factorial = 1
number = int(input('Enter a number: '))
for i in range(1, number + 1):
factorial *= i
print(f'Factorial of {number} is {factorial}') |
def read_lines_of_file(filename):
with open(filename) as f:
content = f.readlines()
return content,len(content)
alltext,alltextlen = read_lines_of_file('read.txt')
for line in alltext:
print(line.rstrip())
print("Number of lines read from file --> %d" %(alltextlen)) | def read_lines_of_file(filename):
with open(filename) as f:
content = f.readlines()
return (content, len(content))
(alltext, alltextlen) = read_lines_of_file('read.txt')
for line in alltext:
print(line.rstrip())
print('Number of lines read from file --> %d' % alltextlen) |
class Authenticator():
def validate(self, username, password):
raise NotImplementedError() # pragma: no cover
def verify(self, username):
raise NotImplementedError() # pragma: no cover
def get_password(self, username):
raise NotImplementedError() # pragma: no cover
| class Authenticator:
def validate(self, username, password):
raise not_implemented_error()
def verify(self, username):
raise not_implemented_error()
def get_password(self, username):
raise not_implemented_error() |
#!/usr/local/bin/python3
class Generator():
def __init__(self, init, factor, modulo, multiple):
self.value = init
self.factor = factor
self.modulo = modulo
self.multiple = multiple
def getNext(self):
self.value = (self.value * self.factor) % self.modulo
while (self.value % self.multiple) != 0:
self.value = (self.value * self.factor) % self.modulo
return self.value
class Judge():
def __init__(self, genA, genB):
self.generatorA = genA
self.generatorB = genB
self.count = 0
def evalNext(self):
if self.generatorA.getNext()&0xffff == self.generatorB.getNext()&0xffff:
self.count += 1
FACTOR_GEN_A = 16807
FACTOR_GEN_B = 48271
MODULO = 2147483647
START_VALUE_GEN_A = 512
START_VALUE_GEN_B = 191
generatorA = Generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 1)
generatorB = Generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 1)
judge = Judge(generatorA, generatorB)
for i in xrange(40000000):
judge.evalNext()
print("Star 1: %i" % judge.count)
generatorA = Generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 4)
generatorB = Generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 8)
judge = Judge(generatorA, generatorB)
for i in xrange(5000000):
judge.evalNext()
print("Star 2: %i" % judge.count)
| class Generator:
def __init__(self, init, factor, modulo, multiple):
self.value = init
self.factor = factor
self.modulo = modulo
self.multiple = multiple
def get_next(self):
self.value = self.value * self.factor % self.modulo
while self.value % self.multiple != 0:
self.value = self.value * self.factor % self.modulo
return self.value
class Judge:
def __init__(self, genA, genB):
self.generatorA = genA
self.generatorB = genB
self.count = 0
def eval_next(self):
if self.generatorA.getNext() & 65535 == self.generatorB.getNext() & 65535:
self.count += 1
factor_gen_a = 16807
factor_gen_b = 48271
modulo = 2147483647
start_value_gen_a = 512
start_value_gen_b = 191
generator_a = generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 1)
generator_b = generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 1)
judge = judge(generatorA, generatorB)
for i in xrange(40000000):
judge.evalNext()
print('Star 1: %i' % judge.count)
generator_a = generator(START_VALUE_GEN_A, FACTOR_GEN_A, MODULO, 4)
generator_b = generator(START_VALUE_GEN_B, FACTOR_GEN_B, MODULO, 8)
judge = judge(generatorA, generatorB)
for i in xrange(5000000):
judge.evalNext()
print('Star 2: %i' % judge.count) |
price = 1000000
good_credit = True
high_income = True
if good_credit and high_income:
down_payment = 1.0 * price
print(f"eligible for loan")
else:
down_payment = 2.0 * price
print(f"ineligible for loan")
print(f"down payment is {down_payment}")
| price = 1000000
good_credit = True
high_income = True
if good_credit and high_income:
down_payment = 1.0 * price
print(f'eligible for loan')
else:
down_payment = 2.0 * price
print(f'ineligible for loan')
print(f'down payment is {down_payment}') |
# Constants shared between C++ code and python
# TODO: Share properly via a configuration file
# ControllerWithSimpleHistory::EvaluationPeriod
EVALUATION_PERIOD_SEQUENCES = 64
# kWorkWindowSize in SysConsts.hpp
STATE_TRANSFER_WINDOW = 300
| evaluation_period_sequences = 64
state_transfer_window = 300 |
# Python program to print
# ASCII Value of Character
# In c we can assign different
# characters of which we want ASCII value
c = 'g'
# print the ASCII value of assigned character in c
print("The ASCII value of '" + c + "' is", ord(c))
| c = 'g'
print("The ASCII value of '" + c + "' is", ord(c)) |
def find(tree, key, value):
items = tree.get("children", []) if isinstance(tree, dict) else tree
for item in items:
if item[key] == value:
yield item
else:
yield from find(item, key, value)
def find_path(tree, key, value, path=()):
items = tree.get("children", []) if isinstance(tree, dict) else tree
for item in items:
if item[key] == value:
yield (*path, item)
else:
yield from find_path(item, key, value, (*path, item))
| def find(tree, key, value):
items = tree.get('children', []) if isinstance(tree, dict) else tree
for item in items:
if item[key] == value:
yield item
else:
yield from find(item, key, value)
def find_path(tree, key, value, path=()):
items = tree.get('children', []) if isinstance(tree, dict) else tree
for item in items:
if item[key] == value:
yield (*path, item)
else:
yield from find_path(item, key, value, (*path, item)) |
'''
Problem: 13 Reasons Why
Given 3 integers A, B, C. Do the following steps-
Swap A and B.
Multiply A by C.
Add C to B.
Output new values of A and B.
'''
# When ran, you will see a blank line, as that is needed for the submission.
# If you are debugging and want it to be easier, change it too
# input = input("Numbers: ")
# Collects the input
input = input()
# Puts the input in the list, it's cutting them due to the space between the numbers.
inputList = input.split(" ")
# Since A and B are being swapped, A is given inputList[1], which was B's input. Vice Versa for B.
# C is just given the third input, which was C.
A = int(inputList[1])
B = int(inputList[0])
C = int(inputList[2])
# Multiplies A * C.
A = A * C
# Adds C + B.
B = C + B
# Converts them to strings since the submission needs to be one line.
A = str(A)
B = str(B)
# Prints the answer.
print(A + " " + B)
| """
Problem: 13 Reasons Why
Given 3 integers A, B, C. Do the following steps-
Swap A and B.
Multiply A by C.
Add C to B.
Output new values of A and B.
"""
input = input()
input_list = input.split(' ')
a = int(inputList[1])
b = int(inputList[0])
c = int(inputList[2])
a = A * C
b = C + B
a = str(A)
b = str(B)
print(A + ' ' + B) |
class Solution:
def maxIncreaseKeepingSkyline(self, grid):
skyline = []
for v_line in grid:
skyline.append([max(v_line)] * len(grid))
for x, h_line in enumerate(list(zip(*grid))):
max_h = max(h_line)
for y in range(len(skyline)):
skyline[y][x] = min(skyline[y][x], max_h)
ans = sum([sum(l) for l in skyline]) - sum([sum(l) for l in grid])
return ans | class Solution:
def max_increase_keeping_skyline(self, grid):
skyline = []
for v_line in grid:
skyline.append([max(v_line)] * len(grid))
for (x, h_line) in enumerate(list(zip(*grid))):
max_h = max(h_line)
for y in range(len(skyline)):
skyline[y][x] = min(skyline[y][x], max_h)
ans = sum([sum(l) for l in skyline]) - sum([sum(l) for l in grid])
return ans |
class Solution:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
output = [[]]
result = []
for num in sorted(nums):
res = [lst + [num] for lst in output]
output += res
for subset in output:
if subset not in result:
result.append(subset)
return result | class Solution:
def subsets_with_dup(self, nums: List[int]) -> List[List[int]]:
output = [[]]
result = []
for num in sorted(nums):
res = [lst + [num] for lst in output]
output += res
for subset in output:
if subset not in result:
result.append(subset)
return result |
with open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/general_form_ocr.txt') as f:
text = f.readlines()
f2 = open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/dlo_address.txt', 'w+')
# data = list(set(text))
# data.sort()
# # count2 = 0
# count = {e: 0 for e in data}
# count2 = 0
for e in text:
e = e.strip()
length = len(e)
if length > 25:
f2.write(f'{e[:length//2]}\n')
f2.write(f'{e[length//2:]}\n')
else:
f2.write(f'{e}\n')
# # data.sort()
# print(count)
# print(len(count))
# print(min(count.values())) | with open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/general_form_ocr.txt') as f:
text = f.readlines()
f2 = open('/home/ai/hdd/tupm/projects/textGenOCR/trdg/dicts/dlo_address.txt', 'w+')
for e in text:
e = e.strip()
length = len(e)
if length > 25:
f2.write(f'{e[:length // 2]}\n')
f2.write(f'{e[length // 2:]}\n')
else:
f2.write(f'{e}\n') |
def foo():
'''
>>> class bad():
... pass
'''
pass
| def foo():
"""
>>> class bad():
... pass
"""
pass |
class InstanceObjectManager:
def __init__(self, parent):
self.parent = parent
# All Instance Id's of instanced objects on this server.
self.localInstanceIds = set()
# Dict of {Temp Id: Instance Object}
self.tempId2iObject = {}
# Dict of {Instance Id: Instance Object}
self.instanceId2iObject = {}
# Keeps track of all instanced objects under their Parent->Zone key-pair.
self.locationDict = {}
def storeTempObject(self, tempId, iObject):
if tempId in self.tempId2iObject:
print("Warning: TempId (%s) already exists in TempId dict. Overriding." % tempId)
self.tempId2iObject[tempId] = iObject
def deleteTempObject(self, tempId):
if tempId not in self.tempId2iObject:
print("Error: Attempted to delete non-existent object with TempId (%s)" % tempId)
return
del self.tempId2iObject[tempId]
def activateTempObject(self, tempId, instanceId):
if tempId not in self.tempId2iObject:
print("Error: Attempted to activate non-existent TempId (%s)" % tempId)
return
iObject = self.tempId2iObject[tempId]
iObject.instanceId = instanceId
self.storeInstanceObject(iObject)
self.deleteTempObject(tempId)
def storeInstanceObject(self, iObject):
instanceId = iObject.instanceId
if instanceId in self.localInstanceIds:
print("Warning: Instance Object (%s) already exists in localInstanceIds. Duplicate generate or poor cleanup?" % instanceId)
if instanceId in self.instanceId2iObject:
print("Warning: Instance Object (%s) already exists in memory. Overriding." % instanceId)
# Store object in memory.
self.instanceId2iObject[instanceId] = iObject
# Store object in location.
parentId = iObject.parentId
zoneId = iObject.zoneId
parentDict = self.locationDict.setdefault(parentId, {})
zoneDict = parentDict.setdefault(zoneId, set())
zoneDict.add(iObject)
# Store the instance id as a known id.
self.localInstanceIds.add(instanceId)
def deleteInstanceObject(self, instanceId):
if (instanceId not in self.localInstanceIds) or (instanceId not in self.instanceId2iObject):
print("Error: Attempted to delete invalid Instance Object (%s)" % instanceId)
return
iObject = self.instanceId2iObject[instanceId]
# Get object location.
parentId = iObject.parentId
zoneId = iObject.zoneId
# Remove the object from memory.
del self.instanceId2iObject[instanceId]
del self.localInstanceIds[instanceId]
parentDict = self.locationDict.get(parentId)
if parentDict is None:
print("Error: Attempted to delete Instance Object (%s) with invalid parent (%s)." % (instanceId, parentId))
return
zoneDict = parentDict.get(zoneId)
if zoneDict is None:
print("Error: Attempted to delete Instance Object (%s) with invalid parent-zone pair (%s:%s)." % (instanceId, parentId, zoneId))
return
if instanceId not in zoneDict:
print("Error: Attempted to delete Instance Object (%s) that does not exist at location (%s:%s)." % (instanceId, parentId, zoneId))
return
# We can finally delete the object out of the locationDict.
del zoneDict[instanceId]
# Cleanup.
if len(zoneDict) == 0:
del parentDict[zoneId]
if len(parentDict) == 0:
del self.locationDict[parentId]
def getInstanceObjects(self, parentId, zoneId=None):
parent = self.locationDict.get(parentId)
if parent is None:
return []
# If no zoneId is specified, return all child objects of the parent.
if zoneId is None:
children = []
for zone in parent.values():
for iObject in zone:
children.append(iObject)
# If we have a specific zoneId, return all objects under that zone.
else:
children = parent.get(zoneId, [])
return children | class Instanceobjectmanager:
def __init__(self, parent):
self.parent = parent
self.localInstanceIds = set()
self.tempId2iObject = {}
self.instanceId2iObject = {}
self.locationDict = {}
def store_temp_object(self, tempId, iObject):
if tempId in self.tempId2iObject:
print('Warning: TempId (%s) already exists in TempId dict. Overriding.' % tempId)
self.tempId2iObject[tempId] = iObject
def delete_temp_object(self, tempId):
if tempId not in self.tempId2iObject:
print('Error: Attempted to delete non-existent object with TempId (%s)' % tempId)
return
del self.tempId2iObject[tempId]
def activate_temp_object(self, tempId, instanceId):
if tempId not in self.tempId2iObject:
print('Error: Attempted to activate non-existent TempId (%s)' % tempId)
return
i_object = self.tempId2iObject[tempId]
iObject.instanceId = instanceId
self.storeInstanceObject(iObject)
self.deleteTempObject(tempId)
def store_instance_object(self, iObject):
instance_id = iObject.instanceId
if instanceId in self.localInstanceIds:
print('Warning: Instance Object (%s) already exists in localInstanceIds. Duplicate generate or poor cleanup?' % instanceId)
if instanceId in self.instanceId2iObject:
print('Warning: Instance Object (%s) already exists in memory. Overriding.' % instanceId)
self.instanceId2iObject[instanceId] = iObject
parent_id = iObject.parentId
zone_id = iObject.zoneId
parent_dict = self.locationDict.setdefault(parentId, {})
zone_dict = parentDict.setdefault(zoneId, set())
zoneDict.add(iObject)
self.localInstanceIds.add(instanceId)
def delete_instance_object(self, instanceId):
if instanceId not in self.localInstanceIds or instanceId not in self.instanceId2iObject:
print('Error: Attempted to delete invalid Instance Object (%s)' % instanceId)
return
i_object = self.instanceId2iObject[instanceId]
parent_id = iObject.parentId
zone_id = iObject.zoneId
del self.instanceId2iObject[instanceId]
del self.localInstanceIds[instanceId]
parent_dict = self.locationDict.get(parentId)
if parentDict is None:
print('Error: Attempted to delete Instance Object (%s) with invalid parent (%s).' % (instanceId, parentId))
return
zone_dict = parentDict.get(zoneId)
if zoneDict is None:
print('Error: Attempted to delete Instance Object (%s) with invalid parent-zone pair (%s:%s).' % (instanceId, parentId, zoneId))
return
if instanceId not in zoneDict:
print('Error: Attempted to delete Instance Object (%s) that does not exist at location (%s:%s).' % (instanceId, parentId, zoneId))
return
del zoneDict[instanceId]
if len(zoneDict) == 0:
del parentDict[zoneId]
if len(parentDict) == 0:
del self.locationDict[parentId]
def get_instance_objects(self, parentId, zoneId=None):
parent = self.locationDict.get(parentId)
if parent is None:
return []
if zoneId is None:
children = []
for zone in parent.values():
for i_object in zone:
children.append(iObject)
else:
children = parent.get(zoneId, [])
return children |
def append(list1, list2):
pass
def concat(lists):
pass
def filter(function, list):
pass
def length(list):
pass
def map(function, list):
pass
def foldl(function, list, initial):
pass
def foldr(function, list, initial):
pass
def reverse(list):
pass
| def append(list1, list2):
pass
def concat(lists):
pass
def filter(function, list):
pass
def length(list):
pass
def map(function, list):
pass
def foldl(function, list, initial):
pass
def foldr(function, list, initial):
pass
def reverse(list):
pass |
class Solution:
def rob(self, nums: List[int]) -> int:
def dp(i: int) -> int:
if i == 0:
return nums[0]
if i == 1:
return max(nums[0], nums[1])
if i not in memo:
memo[i] = max(dp(i-1), nums[i]+dp(i-2))
return memo[i]
memo = {}
return dp(len(nums)-1)
| class Solution:
def rob(self, nums: List[int]) -> int:
def dp(i: int) -> int:
if i == 0:
return nums[0]
if i == 1:
return max(nums[0], nums[1])
if i not in memo:
memo[i] = max(dp(i - 1), nums[i] + dp(i - 2))
return memo[i]
memo = {}
return dp(len(nums) - 1) |
#!/usr/bin/env python3
###############################################################################
# Copyright 2018 The Apollo Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
###############################################################################
def segment_overlap(a, b, x, y):
if b < x or a > y:
return False
return True
def vector_projection_overlap(p0, p1, p2, p3):
v = p1.subtract(p0)
n_square = v.norm_square()
v0 = p2.subtract(p0)
v1 = p3.subtract(p0)
t0 = v0.dot(v)
t1 = v1.dot(v)
if t0 > t1:
t = t0
t0 = t1
t1 = t
return segment_overlap(t0, t1, 0.0, n_square)
| def segment_overlap(a, b, x, y):
if b < x or a > y:
return False
return True
def vector_projection_overlap(p0, p1, p2, p3):
v = p1.subtract(p0)
n_square = v.norm_square()
v0 = p2.subtract(p0)
v1 = p3.subtract(p0)
t0 = v0.dot(v)
t1 = v1.dot(v)
if t0 > t1:
t = t0
t0 = t1
t1 = t
return segment_overlap(t0, t1, 0.0, n_square) |
class Matrix:
def transpose(self, matrix):
return list(zip(*matrix))
def column(self, matrix, i):
return [row[i] for row in matrix] | class Matrix:
def transpose(self, matrix):
return list(zip(*matrix))
def column(self, matrix, i):
return [row[i] for row in matrix] |
def create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header):
colPairs = len(dimPerfMap)
colspecs = '|c|c|' * colPairs
lines.append("\\begin{table}[H]")
lines.append("\centering")
lines.append("\caption{%s: %s}" % (subsectitle, header))
lines.append("\\begin{adjustbox}{width=1\\textwidth}")
lines.append("\\begin{tabular}{ %s }" % colspecs)
lines.append("\hline")
lines.append("\multicolumn{%s}{|c|}{%s} \\\\" % (str(colPairs * 2), header))
lines.append("\hline")
tmpl0 = "\multicolumn{2}{|c||}{%s}"
tmpl = "\multicolumn{2}{c||}{%s}"
tmplN = "\multicolumn{2}{c|}{%s}"
dimcols = []
idx = 0
for M,N in sorted(dimPerfMap):
if idx == 0:
tmplVal = tmpl0 % ("%s-%s" % (dataname, M))
elif idx == len(dimPerfMap) - 1:
tmplVal = tmplN % ("%s-%s" % (dataname, M))
else:
tmplVal = tmpl % ("%s-%s" % (dataname, M))
dimcols.append(tmplVal)
idx += 1
lines.append(" & ".join(dimcols) + "\\\\")
lines.append("\hline")
dimcols = []
idx = 0
for M,N in sorted(dimPerfMap):
if idx == 0:
tmplVal = tmpl0 % ("m = %d, gc = %d" % (M,N))
elif idx == len(dimPerfMap) - 1:
tmplVal = tmplN % ("m = %d, gc = %d" % (M,N))
else:
tmplVal = tmpl % ("m = %d, gc = %d" % (M,N))
dimcols.append(tmplVal)
idx += 1
lines.append(" & ".join(dimcols) + "\\\\")
lines.append("\hline")
lineArr = ["f($\\bar{x}$) & N" for i in range(colPairs)]
lines.append(" & ".join(lineArr) + "\\\\")
lines.append("\hline")
lines.append("\hline")
ROWLIMIT = 8
tableData = [[" " for j in range(colPairs*2)] for idx in range(ROWLIMIT)]
idx = 0
for M,N in sorted(dimPerfMap):
dimPerf = dimPerfMap[(M,N)]
j = 0
maxN = -float('inf')
maxNIdx = -1
maxN_f = -1
for (f,N) in histoLambda(dimPerf):
if N > maxN:
maxN = N
maxNIdx = j
maxN_f = f
if j < ROWLIMIT:
tableData[j][idx] = str(f)
tableData[j][idx+1] = str(N)
j+= 1
# Overwrite first row with max
tableData[0][idx] = str(maxN_f)
tableData[0][idx+1] = str(maxN)
idx += 2
maxStatRow = tableData[0]
lines.append(" & ".join(maxStatRow) + "\\\\")
lines.append("\hline")
for tableRow in tableData:
lines.append(" & ".join(tableRow) + "\\\\")
lines.append("\hline")
dimcols = []
idx = 0
summary = []
for M,N in sorted(dimPerfMap):
dimPerf = dimPerfMap[(M,N)]
if idx == 0:
tmplVal = tmpl0 % ("\\^{f} = %s" % str(meanLambda(dimPerf)))
elif idx == len(dimPerfMap) - 1:
tmplVal = tmplN % ("\\^{f} = %s" % str(meanLambda(dimPerf)))
else:
tmplVal = tmpl % ("\\^{f} = %s" % str(meanLambda(dimPerf)))
dimcols.append(tmplVal)
score = str(meanLambda(dimPerf))
summary.append([str(M), str(N), score])
idx += 1
lines.append(" & ".join(dimcols) + "\\\\")
lines.append("\hline")
lines.append("\end{tabular}")
lines.append("\end{adjustbox}")
lines.append("\\end{table}")
return summary
def create_tables(dataname, dimPerfMap, lines, subsectitle):
retSummary = []
# lines.append("\subsubsection{DATA:%s | FITNESS}" % (dataname.upper()))
histoLambda = lambda dimPerf: dimPerf.scoreFitnessHisto
meanLambda = lambda dimPerf: dimPerf.scoreFitnessMean
summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header = "%s - fitness" % dataname)
retSummary = retSummary + [['fitness', summ[0], summ[1], summ[2]] for summ in summary] # M,N,score
# lines.append("\subsubsection{DATA:%s | SELF}" % (dataname.upper()))
histoLambda = lambda dimPerf: dimPerf.scoreSelfHisto
meanLambda = lambda dimPerf: dimPerf.scoreSelfMean
summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header = "%s - self" % dataname)
retSummary = retSummary + [['pscore', summ[0], summ[1], summ[2]] for summ in summary] # M,N,score
# lines.append("\subsubsection{DATA:%s | COMPETE}" % (dataname.upper()))
histoLambda = lambda dimPerf: dimPerf.scoreCompeteHisto
meanLambda = lambda dimPerf: dimPerf.scoreCompeteMean
summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header = "%s - compete" % dataname)
retSummary = retSummary + [['cscore', summ[0], summ[1], summ[2]] for summ in summary] # M,N,score
return retSummary
def latexify(perfMap):
'''
('rouletteWheel', 'crossover_1p') / (10, 10, 'auth'): (stat.scoreCompeteHisto: [(1.0, 9), (0.9, 1)], stat.scoreCompeteMean: 0.99, stat.scoreSelfHisto: [(0.0, 10)], stat.scoreSelfMean: 0.0, stat.scoreFitnessHisto: [(4.3463447172747323, 1), (7.948375686832958, 1), (3.9489350437230737, 1), (0.34958729407625033, 1), (0.81301756889153154, 1), (3.2477890015590951, 1), (3.581170550257939, 2), (-0.062549850063921664, 2)], stat.scoreFitnessMean: 2.76912907127)
Table template:
\begin{tabular}{ |c|c||c|c| }
\hline
\multicolumn{2}{|c||}{col1} & \multicolumn{2}{c|}{col2}\\
\hline
\multicolumn{2}{|c||}{m = 10, gc = 10} & \multicolumn{2}{c|}{m = 10, gc = 20}\\
\hline
f($\bar{x}$) & N & f($\bar{x}$) & N \\
\hline
\hline
100 & 10 & 200 & 20 \\
\hline
100 & 10 & 200 & 20 \\
100 & 10 & 200 & 20 \\
100 & 10 & 200 & 20 \\
100 & 10 & 200 & 20 \\
\hline
\multicolumn{2}{|c||}{\^{f} = 150} & \multicolumn{2}{c|}{\^{f} = 15}\\
\hline
\end{tabular}
'''
lines = []
retSummary = []
for (select, xover), perf1 in perfMap.items():
subsectitle = "SELECTION: %s; CROSSOVER: %s" % (select.upper().replace('_', '-'), xover.upper().replace('CROSSOVER', '').replace('_', ''))
lines.append("\subsection{%s}" % subsectitle)
dataPerfs = dict()
for (M,N,dataname), perf2 in perf1.items():
k = (M,N)
if dataname not in dataPerfs:
dataPerfs[dataname] = dict()
dataPerfs[dataname][k] = perf2
for dataname, dimPerfMap in dataPerfs.items():
dataname = dataname.upper().replace('_', '-')
summary = create_tables(dataname, dimPerfMap, lines, subsectitle)
select = select.upper().replace('_', '-')
xover = xover.upper().replace('CROSSOVER', '').replace('_', '')
retSummary = retSummary + [[select, xover, dataname, summ[0], summ[1], summ[2], summ[3]] for summ in summary] # metric, M,N,score
print("\n".join(lines))
return retSummary
def select_best(summary):
'''
select best by dataname, metric
'''
summMap = dict()
for summ in summary:
(select,xover,dataname,metric,M,N,score) = (summ[0], summ[1], summ[2], summ[3], summ[4], summ[5], summ[6])
if (dataname, metric) not in summMap:
summMap[(dataname, metric)] = []
summMap[(dataname, metric)].append((summ, score))
ret = []
for (dataname, metric), summArr in summMap.items():
summArrSorted = sorted(summArr, reverse=True, key=lambda kv: kv[1])
ret.append(summArrSorted[0][0])
ret = sorted(ret, key = lambda arr: (arr[2], arr[3])) #sort by dataname, metric
return ret
def summaryTable(summary):
summary = select_best(summary)
header = ['select', 'xover', 'dataname', 'metric', 'M', 'N', 'score']
colspecs = "|c|c|c|c|c|c|c|"
lines = []
lines.append("\\begin{table}[H]")
lines.append("\centering")
lines.append("\caption{SUMMARY}")
lines.append("\\begin{adjustbox}{width=1\\textwidth}")
lines.append("\\begin{tabular}{ %s }" % colspecs)
lines.append("\hline")
lines.append(" & ".join(header) + "\\\\")
lines.append("\hline")
for summ in summary:
lines.append("\hline")
lines.append(" & ".join(summ) + "\\\\")
lines.append("\hline")
lines.append("\end{tabular}")
lines.append("\end{adjustbox}")
lines.append("\\end{table}")
print("\n".join(lines))
| def create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header):
col_pairs = len(dimPerfMap)
colspecs = '|c|c|' * colPairs
lines.append('\\begin{table}[H]')
lines.append('\\centering')
lines.append('\\caption{%s: %s}' % (subsectitle, header))
lines.append('\\begin{adjustbox}{width=1\\textwidth}')
lines.append('\\begin{tabular}{ %s }' % colspecs)
lines.append('\\hline')
lines.append('\\multicolumn{%s}{|c|}{%s} \\\\' % (str(colPairs * 2), header))
lines.append('\\hline')
tmpl0 = '\\multicolumn{2}{|c||}{%s}'
tmpl = '\\multicolumn{2}{c||}{%s}'
tmpl_n = '\\multicolumn{2}{c|}{%s}'
dimcols = []
idx = 0
for (m, n) in sorted(dimPerfMap):
if idx == 0:
tmpl_val = tmpl0 % ('%s-%s' % (dataname, M))
elif idx == len(dimPerfMap) - 1:
tmpl_val = tmplN % ('%s-%s' % (dataname, M))
else:
tmpl_val = tmpl % ('%s-%s' % (dataname, M))
dimcols.append(tmplVal)
idx += 1
lines.append(' & '.join(dimcols) + '\\\\')
lines.append('\\hline')
dimcols = []
idx = 0
for (m, n) in sorted(dimPerfMap):
if idx == 0:
tmpl_val = tmpl0 % ('m = %d, gc = %d' % (M, N))
elif idx == len(dimPerfMap) - 1:
tmpl_val = tmplN % ('m = %d, gc = %d' % (M, N))
else:
tmpl_val = tmpl % ('m = %d, gc = %d' % (M, N))
dimcols.append(tmplVal)
idx += 1
lines.append(' & '.join(dimcols) + '\\\\')
lines.append('\\hline')
line_arr = ['f($\\bar{x}$) & N' for i in range(colPairs)]
lines.append(' & '.join(lineArr) + '\\\\')
lines.append('\\hline')
lines.append('\\hline')
rowlimit = 8
table_data = [[' ' for j in range(colPairs * 2)] for idx in range(ROWLIMIT)]
idx = 0
for (m, n) in sorted(dimPerfMap):
dim_perf = dimPerfMap[M, N]
j = 0
max_n = -float('inf')
max_n_idx = -1
max_n_f = -1
for (f, n) in histo_lambda(dimPerf):
if N > maxN:
max_n = N
max_n_idx = j
max_n_f = f
if j < ROWLIMIT:
tableData[j][idx] = str(f)
tableData[j][idx + 1] = str(N)
j += 1
tableData[0][idx] = str(maxN_f)
tableData[0][idx + 1] = str(maxN)
idx += 2
max_stat_row = tableData[0]
lines.append(' & '.join(maxStatRow) + '\\\\')
lines.append('\\hline')
for table_row in tableData:
lines.append(' & '.join(tableRow) + '\\\\')
lines.append('\\hline')
dimcols = []
idx = 0
summary = []
for (m, n) in sorted(dimPerfMap):
dim_perf = dimPerfMap[M, N]
if idx == 0:
tmpl_val = tmpl0 % ('\\^{f} = %s' % str(mean_lambda(dimPerf)))
elif idx == len(dimPerfMap) - 1:
tmpl_val = tmplN % ('\\^{f} = %s' % str(mean_lambda(dimPerf)))
else:
tmpl_val = tmpl % ('\\^{f} = %s' % str(mean_lambda(dimPerf)))
dimcols.append(tmplVal)
score = str(mean_lambda(dimPerf))
summary.append([str(M), str(N), score])
idx += 1
lines.append(' & '.join(dimcols) + '\\\\')
lines.append('\\hline')
lines.append('\\end{tabular}')
lines.append('\\end{adjustbox}')
lines.append('\\end{table}')
return summary
def create_tables(dataname, dimPerfMap, lines, subsectitle):
ret_summary = []
histo_lambda = lambda dimPerf: dimPerf.scoreFitnessHisto
mean_lambda = lambda dimPerf: dimPerf.scoreFitnessMean
summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header='%s - fitness' % dataname)
ret_summary = retSummary + [['fitness', summ[0], summ[1], summ[2]] for summ in summary]
histo_lambda = lambda dimPerf: dimPerf.scoreSelfHisto
mean_lambda = lambda dimPerf: dimPerf.scoreSelfMean
summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header='%s - self' % dataname)
ret_summary = retSummary + [['pscore', summ[0], summ[1], summ[2]] for summ in summary]
histo_lambda = lambda dimPerf: dimPerf.scoreCompeteHisto
mean_lambda = lambda dimPerf: dimPerf.scoreCompeteMean
summary = create_histo_table(dataname, dimPerfMap, lines, histoLambda, meanLambda, subsectitle, header='%s - compete' % dataname)
ret_summary = retSummary + [['cscore', summ[0], summ[1], summ[2]] for summ in summary]
return retSummary
def latexify(perfMap):
"""
('rouletteWheel', 'crossover_1p') / (10, 10, 'auth'): (stat.scoreCompeteHisto: [(1.0, 9), (0.9, 1)], stat.scoreCompeteMean: 0.99, stat.scoreSelfHisto: [(0.0, 10)], stat.scoreSelfMean: 0.0, stat.scoreFitnessHisto: [(4.3463447172747323, 1), (7.948375686832958, 1), (3.9489350437230737, 1), (0.34958729407625033, 1), (0.81301756889153154, 1), (3.2477890015590951, 1), (3.581170550257939, 2), (-0.062549850063921664, 2)], stat.scoreFitnessMean: 2.76912907127)
Table template:
\x08egin{tabular}{ |c|c||c|c| }
\\hline
\\multicolumn{2}{|c||}{col1} & \\multicolumn{2}{c|}{col2}\\
\\hline
\\multicolumn{2}{|c||}{m = 10, gc = 10} & \\multicolumn{2}{c|}{m = 10, gc = 20}\\
\\hline
f($\x08ar{x}$) & N & f($\x08ar{x}$) & N \\
\\hline
\\hline
100 & 10 & 200 & 20 \\
\\hline
100 & 10 & 200 & 20 \\
100 & 10 & 200 & 20 \\
100 & 10 & 200 & 20 \\
100 & 10 & 200 & 20 \\
\\hline
\\multicolumn{2}{|c||}{\\^{f} = 150} & \\multicolumn{2}{c|}{\\^{f} = 15}\\
\\hline
\\end{tabular}
"""
lines = []
ret_summary = []
for ((select, xover), perf1) in perfMap.items():
subsectitle = 'SELECTION: %s; CROSSOVER: %s' % (select.upper().replace('_', '-'), xover.upper().replace('CROSSOVER', '').replace('_', ''))
lines.append('\\subsection{%s}' % subsectitle)
data_perfs = dict()
for ((m, n, dataname), perf2) in perf1.items():
k = (M, N)
if dataname not in dataPerfs:
dataPerfs[dataname] = dict()
dataPerfs[dataname][k] = perf2
for (dataname, dim_perf_map) in dataPerfs.items():
dataname = dataname.upper().replace('_', '-')
summary = create_tables(dataname, dimPerfMap, lines, subsectitle)
select = select.upper().replace('_', '-')
xover = xover.upper().replace('CROSSOVER', '').replace('_', '')
ret_summary = retSummary + [[select, xover, dataname, summ[0], summ[1], summ[2], summ[3]] for summ in summary]
print('\n'.join(lines))
return retSummary
def select_best(summary):
"""
select best by dataname, metric
"""
summ_map = dict()
for summ in summary:
(select, xover, dataname, metric, m, n, score) = (summ[0], summ[1], summ[2], summ[3], summ[4], summ[5], summ[6])
if (dataname, metric) not in summMap:
summMap[dataname, metric] = []
summMap[dataname, metric].append((summ, score))
ret = []
for ((dataname, metric), summ_arr) in summMap.items():
summ_arr_sorted = sorted(summArr, reverse=True, key=lambda kv: kv[1])
ret.append(summArrSorted[0][0])
ret = sorted(ret, key=lambda arr: (arr[2], arr[3]))
return ret
def summary_table(summary):
summary = select_best(summary)
header = ['select', 'xover', 'dataname', 'metric', 'M', 'N', 'score']
colspecs = '|c|c|c|c|c|c|c|'
lines = []
lines.append('\\begin{table}[H]')
lines.append('\\centering')
lines.append('\\caption{SUMMARY}')
lines.append('\\begin{adjustbox}{width=1\\textwidth}')
lines.append('\\begin{tabular}{ %s }' % colspecs)
lines.append('\\hline')
lines.append(' & '.join(header) + '\\\\')
lines.append('\\hline')
for summ in summary:
lines.append('\\hline')
lines.append(' & '.join(summ) + '\\\\')
lines.append('\\hline')
lines.append('\\end{tabular}')
lines.append('\\end{adjustbox}')
lines.append('\\end{table}')
print('\n'.join(lines)) |
example_schema_array = {"type": "array", "items": {"type": "string"}}
example_array = ["string"]
example_schema_integer = {"type": "integer", "minimum": 3, "maximum": 5}
example_integer = 3
example_schema_number = {"type": "number", "minimum": 3, "maximum": 5}
example_number = 3.2
example_schema_object = {"type": "object", "properties": {"value": {"type": "integer"}}, "required": ["value"]}
example_object = {"value": 1}
example_schema_string = {"type": "string", "minLength": 3, "maxLength": 5}
example_string = "str"
example_response_types = [example_array, example_integer, example_number, example_object, example_string]
example_schema_types = [
example_schema_array,
example_schema_integer,
example_schema_number,
example_schema_object,
example_schema_string,
]
| example_schema_array = {'type': 'array', 'items': {'type': 'string'}}
example_array = ['string']
example_schema_integer = {'type': 'integer', 'minimum': 3, 'maximum': 5}
example_integer = 3
example_schema_number = {'type': 'number', 'minimum': 3, 'maximum': 5}
example_number = 3.2
example_schema_object = {'type': 'object', 'properties': {'value': {'type': 'integer'}}, 'required': ['value']}
example_object = {'value': 1}
example_schema_string = {'type': 'string', 'minLength': 3, 'maxLength': 5}
example_string = 'str'
example_response_types = [example_array, example_integer, example_number, example_object, example_string]
example_schema_types = [example_schema_array, example_schema_integer, example_schema_number, example_schema_object, example_schema_string] |
# region headers
# escript-template v20190611 / [email protected]
# * author: MITU Bogdan Nicolae (EEAS-EXT) <[email protected]>
# * [email protected]
# * version: 2019/09/18
# task_name: CalmSetProjectOwner
# description: Given a Calm project UUID, updates the owner reference section
# in the metadata.
# endregion
#region capture Calm variables
username = "@@{pc.username}@@"
username_secret = "@@{pc.secret}@@"
api_server = "@@{pc_ip}@@"
nutanix_calm_user_uuid = "@@{nutanix_calm_user_uuid}@@"
nutanix_calm_user_upn = "@@{calm_username}@@"
project_uuid = "@@{project_uuid}@@"
#endregion
#region prepare api call (get project)
api_server_port = "9440"
api_server_endpoint = "/api/nutanix/v3/projects_internal/{}".format(project_uuid)
url = "https://{}:{}{}".format(
api_server,
api_server_port,
api_server_endpoint
)
method = "GET"
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json'
}
#endregion
#region make the api call (get project)
print("Making a {} API call to {}".format(method, url))
resp = urlreq(
url,
verb=method,
auth='BASIC',
user=username,
passwd=username_secret,
headers=headers,
verify=False
)
# endregion
#region process the results (get project)
if resp.ok:
print("Successfully retrieved project details for project with uuid {}".format(project_uuid))
project_json = json.loads(resp.content)
else:
#api call failed
print("Request failed")
print("Headers: {}".format(headers))
print('Status code: {}'.format(resp.status_code))
print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4)))
exit(1)
# endregion
#region prepare api call (update project with acp)
api_server_port = "9440"
api_server_endpoint = "/api/nutanix/v3/projects_internal/{}".format(project_uuid)
url = "https://{}:{}{}".format(
api_server,
api_server_port,
api_server_endpoint
)
method = "PUT"
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json'
}
# Compose the json payload
#removing stuff we don't need for the update
project_json.pop('status', None)
project_json['metadata'].pop('create_time', None)
#updating values
project_json['metadata']['owner_reference']['uuid'] = nutanix_calm_user_uuid
project_json['metadata']['owner_reference']['name'] = nutanix_calm_user_upn
for acp in project_json['spec']['access_control_policy_list']:
acp["operation"] = "ADD"
payload = project_json
#endregion
#region make the api call (update project with acp)
print("Making a {} API call to {}".format(method, url))
resp = urlreq(
url,
verb=method,
auth='BASIC',
user=username,
passwd=username_secret,
params=json.dumps(payload),
headers=headers,
verify=False
)
#endregion
#region process the results (update project with acp)
if resp.ok:
print("Successfully updated the project owner reference to {}".format(nutanix_calm_user_upn))
exit(0)
else:
#api call failed
print("Request failed")
print("Headers: {}".format(headers))
print("Payload: {}".format(json.dumps(payload)))
print('Status code: {}'.format(resp.status_code))
print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4)))
exit(1)
#endregion | username = '@@{pc.username}@@'
username_secret = '@@{pc.secret}@@'
api_server = '@@{pc_ip}@@'
nutanix_calm_user_uuid = '@@{nutanix_calm_user_uuid}@@'
nutanix_calm_user_upn = '@@{calm_username}@@'
project_uuid = '@@{project_uuid}@@'
api_server_port = '9440'
api_server_endpoint = '/api/nutanix/v3/projects_internal/{}'.format(project_uuid)
url = 'https://{}:{}{}'.format(api_server, api_server_port, api_server_endpoint)
method = 'GET'
headers = {'Content-Type': 'application/json', 'Accept': 'application/json'}
print('Making a {} API call to {}'.format(method, url))
resp = urlreq(url, verb=method, auth='BASIC', user=username, passwd=username_secret, headers=headers, verify=False)
if resp.ok:
print('Successfully retrieved project details for project with uuid {}'.format(project_uuid))
project_json = json.loads(resp.content)
else:
print('Request failed')
print('Headers: {}'.format(headers))
print('Status code: {}'.format(resp.status_code))
print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4)))
exit(1)
api_server_port = '9440'
api_server_endpoint = '/api/nutanix/v3/projects_internal/{}'.format(project_uuid)
url = 'https://{}:{}{}'.format(api_server, api_server_port, api_server_endpoint)
method = 'PUT'
headers = {'Content-Type': 'application/json', 'Accept': 'application/json'}
project_json.pop('status', None)
project_json['metadata'].pop('create_time', None)
project_json['metadata']['owner_reference']['uuid'] = nutanix_calm_user_uuid
project_json['metadata']['owner_reference']['name'] = nutanix_calm_user_upn
for acp in project_json['spec']['access_control_policy_list']:
acp['operation'] = 'ADD'
payload = project_json
print('Making a {} API call to {}'.format(method, url))
resp = urlreq(url, verb=method, auth='BASIC', user=username, passwd=username_secret, params=json.dumps(payload), headers=headers, verify=False)
if resp.ok:
print('Successfully updated the project owner reference to {}'.format(nutanix_calm_user_upn))
exit(0)
else:
print('Request failed')
print('Headers: {}'.format(headers))
print('Payload: {}'.format(json.dumps(payload)))
print('Status code: {}'.format(resp.status_code))
print('Response: {}'.format(json.dumps(json.loads(resp.content), indent=4)))
exit(1) |
class TCPControlFlags():
def __init__(self):
'''Control Bits govern the entire process of connection establishment, data transmissions and connection termination. The control bits are listed as follows, they are'''
'''It indicates if we need to use Urgent pointer field or not. If it is set to 1 then only we use Urgent pointer.'''
self.URG = 0x0
'''It is set when an acknowledgement is being sent to the sender.'''
self.ACK = 0x0
'''When the bit is set, it tells the receiving TCP module to pass the data to the application immediately.'''
self.PSH = 0x0
'''When the bit is set, it aborts the connection. It is also used as a negative acknowledgement against a connection request.'''
self.RST = 0x0
'''It is used during the initial establishment of a connection. It is set when synchronizing process is initiated.'''
self.SYN = 0x0
'''The bit indicates that the host that sent the FIN bit has no more data to send.'''
self.FIN = 0x0
| class Tcpcontrolflags:
def __init__(self):
"""Control Bits govern the entire process of connection establishment, data transmissions and connection termination. The control bits are listed as follows, they are"""
'It indicates if we need to use Urgent pointer field or not. If it is set to 1 then only we use Urgent pointer.'
self.URG = 0
'It is set when an acknowledgement is being sent to the sender.'
self.ACK = 0
'When the bit is set, it tells the receiving TCP module to pass the data to the application immediately.'
self.PSH = 0
'When the bit is set, it aborts the connection. It is also used as a negative acknowledgement against a connection request.'
self.RST = 0
'It is used during the initial establishment of a connection. It is set when synchronizing process is initiated.'
self.SYN = 0
'The bit indicates that the host that sent the FIN bit has no more data to send.'
self.FIN = 0 |
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