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8a06e90aea089e2875525aefc172f812701dac06 | 6,408 | py | Python | trac/ticket/tests/roadmap.py | wiraqutra/photrackjp | e120cba2a5d5d30f99ad084c6521e61f09694ee6 | [
"BSD-3-Clause"
] | null | null | null | trac/ticket/tests/roadmap.py | wiraqutra/photrackjp | e120cba2a5d5d30f99ad084c6521e61f09694ee6 | [
"BSD-3-Clause"
] | null | null | null | trac/ticket/tests/roadmap.py | wiraqutra/photrackjp | e120cba2a5d5d30f99ad084c6521e61f09694ee6 | [
"BSD-3-Clause"
] | null | null | null | from trac.test import EnvironmentStub
from trac.ticket.roadmap import *
from trac.core import ComponentManager
import unittest
if __name__ == '__main__':
unittest.main(defaultTest='suite')
| 46.100719 | 83 | 0.608926 | from trac.test import EnvironmentStub
from trac.ticket.roadmap import *
from trac.core import ComponentManager
import unittest
class TicketGroupStatsTestCase(unittest.TestCase):
def setUp(self):
self.stats = TicketGroupStats('title', 'units')
def test_init(self):
self.assertEqual... | 5,709 | 73 | 419 |
d867450e161c8b6b48ecd7fcba1c1e589b81ceb2 | 169 | py | Python | lambdata_pdugovich/__init__.py | Pdugovich/lambdata_ds8 | d30b594347f2b17ea155ef1571e806d9cb674480 | [
"MIT"
] | null | null | null | lambdata_pdugovich/__init__.py | Pdugovich/lambdata_ds8 | d30b594347f2b17ea155ef1571e806d9cb674480 | [
"MIT"
] | 2 | 2020-03-24T18:04:31.000Z | 2020-03-24T18:08:50.000Z | lambdata_pdugovich/__init__.py | Pdugovich/lambdata_pdugovich | d30b594347f2b17ea155ef1571e806d9cb674480 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
#sample code
ONES = pd.DataFrame(np)
ZEROES = pd.DataFrame(np.zeros(50))
#sample functions | 14.083333 | 35 | 0.710059 | import pandas as pd
import numpy as np
#sample code
ONES = pd.DataFrame(np)
ZEROES = pd.DataFrame(np.zeros(50))
#sample functions
def increment(x):
return(x + 1) | 14 | 0 | 22 |
9114baf7f1a01653308fac609b21964ca35706b0 | 5,650 | py | Python | custom_components/luxtronik/config_flow.py | BenPru/luxtronik | d5d160d7ab82d78a46310553f8f09cb2dd1c0c2b | [
"MIT"
] | 2 | 2021-11-16T19:43:45.000Z | 2021-11-29T11:30:49.000Z | custom_components/luxtronik/config_flow.py | BenPru/luxtronik | d5d160d7ab82d78a46310553f8f09cb2dd1c0c2b | [
"MIT"
] | 6 | 2021-10-30T16:07:57.000Z | 2021-11-18T14:27:38.000Z | custom_components/luxtronik/config_flow.py | BenPru/luxtronik | d5d160d7ab82d78a46310553f8f09cb2dd1c0c2b | [
"MIT"
] | null | null | null | """Config flow to configure the Luxtronik heatpump controller integration."""
# region Imports
from __future__ import annotations
from typing import Any
import homeassistant.helpers.config_validation as cv
import voluptuous as vol
from homeassistant import config_entries
from homeassistant.components.dhcp import HOST... | 37.171053 | 88 | 0.646549 | """Config flow to configure the Luxtronik heatpump controller integration."""
# region Imports
from __future__ import annotations
from typing import Any
import homeassistant.helpers.config_validation as cv
import voluptuous as vol
from homeassistant import config_entries
from homeassistant.components.dhcp import HOST... | 673 | 0 | 54 |
55d979bebf0158e59c64f2d22022177f7acf650b | 1,385 | py | Python | djangocms_link/fields.py | donce/djangocms-link | 561e8475dd25cf299acd428829e758c3047f2e5e | [
"BSD-3-Clause"
] | null | null | null | djangocms_link/fields.py | donce/djangocms-link | 561e8475dd25cf299acd428829e758c3047f2e5e | [
"BSD-3-Clause"
] | null | null | null | djangocms_link/fields.py | donce/djangocms-link | 561e8475dd25cf299acd428829e758c3047f2e5e | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
if 'django_select2' in settings.INSTALLED_APPS:
try:
from django_select2.fields import AutoModelSelect2Field
except ImportError:
pass
| 35.512821 | 125 | 0.59639 | from django.conf import settings
if 'django_select2' in settings.INSTALLED_APPS:
try:
from django_select2.fields import AutoModelSelect2Field
class PageSearchField(AutoModelSelect2Field):
empty_values = []
search_fields = ['title_set__title__icontains', 'title_set__menu_tit... | 686 | 443 | 62 |
8d025c69cfed8c249f9ca208101f14321734307a | 3,981 | py | Python | RC49/CcGAN-based_KD/models/autoencoder_extract.py | UBCDingXin/cGAN-KD | c32a4b014fe024222101ff11d63de518448f7f8d | [
"MIT"
] | 1 | 2021-08-21T09:19:17.000Z | 2021-08-21T09:19:17.000Z | RC49/CcGAN-based_KD/models/autoencoder_extract.py | UBCDingXin/cGAN-KD | c32a4b014fe024222101ff11d63de518448f7f8d | [
"MIT"
] | null | null | null | RC49/CcGAN-based_KD/models/autoencoder_extract.py | UBCDingXin/cGAN-KD | c32a4b014fe024222101ff11d63de518448f7f8d | [
"MIT"
] | 2 | 2021-04-15T08:23:49.000Z | 2021-09-15T06:52:25.000Z | import torch
from torch import nn
if __name__=="__main__":
#test
net_encoder = encoder_extract(dim_bottleneck=64*64*3, ch=64).cuda()
net_decoder = decoder_extract(dim_bottleneck=64*64*3, ch=64).cuda()
net_encoder = nn.DataParallel(net_encoder)
net_decoder = nn.DataParallel(net_decoder)
x... | 31.595238 | 101 | 0.532781 | import torch
from torch import nn
class encoder_extract(nn.Module):
def __init__(self, dim_bottleneck=64*64*3, ch=64):
super(encoder_extract, self).__init__()
self.ch = ch
self.dim_bottleneck = dim_bottleneck
self.conv = nn.Sequential(
nn.Conv2d(3, ch, kernel_size=4, ... | 3,336 | 24 | 152 |
1a688412a3db94e5aa0c2e4f45550052b3d82fe6 | 7,019 | py | Python | windows/utils/winutils.py | sogeti-esec-lab/LKD | f388b5f8c08b7bba2a31c5a16ea64add6cc2dd1a | [
"BSD-3-Clause"
] | 102 | 2015-10-21T10:58:06.000Z | 2021-06-07T17:59:52.000Z | windows/utils/winutils.py | a1ext/LKD | f388b5f8c08b7bba2a31c5a16ea64add6cc2dd1a | [
"BSD-3-Clause"
] | 1 | 2019-09-24T20:45:57.000Z | 2019-09-24T20:45:57.000Z | windows/utils/winutils.py | w4kfu/LKD | f388b5f8c08b7bba2a31c5a16ea64add6cc2dd1a | [
"BSD-3-Clause"
] | 16 | 2015-10-29T14:10:14.000Z | 2019-10-27T18:58:52.000Z | import ctypes
import msvcrt
import os
import sys
import code
import windows
from .. import winproxy
from ..generated_def import windef
from ..generated_def.winstructs import *
# Function resolution !
def create_file_from_handle(handle, mode="r"):
"""Return a Python :class:`file` arround a windows HANDLE"""
... | 35.095 | 129 | 0.707366 | import ctypes
import msvcrt
import os
import sys
import code
import windows
from .. import winproxy
from ..generated_def import windef
from ..generated_def.winstructs import *
# Function resolution !
def get_func_addr(dll_name, func_name):
# Load the DLL
ctypes.WinDLL(dll_name)
modules = wind... | 2,841 | 34 | 296 |
3c885abd66e00ab0f13484522522acd705fc0407 | 1,450 | py | Python | scripts/common.py | phvalguima/bundle-kubeflow | e6097e8d4271f2dce634ec6763fd2587cf72714c | [
"Apache-2.0"
] | null | null | null | scripts/common.py | phvalguima/bundle-kubeflow | e6097e8d4271f2dce634ec6763fd2587cf72714c | [
"Apache-2.0"
] | null | null | null | scripts/common.py | phvalguima/bundle-kubeflow | e6097e8d4271f2dce634ec6763fd2587cf72714c | [
"Apache-2.0"
] | null | null | null | import os
import shutil
import subprocess
import sys
def run(*args, env: dict = None, check=True):
"""Runs command and exits script gracefully on errors."""
print(f'+ {" ".join(args)}')
if env is None:
env = os.environ
else:
env = {**env, **os.environ}
result = subprocess.run(ar... | 25.892857 | 94 | 0.609655 | import os
import shutil
import subprocess
import sys
def run(*args, env: dict = None, check=True):
"""Runs command and exits script gracefully on errors."""
print(f'+ {" ".join(args)}')
if env is None:
env = os.environ
else:
env = {**env, **os.environ}
result = subprocess.run(ar... | 0 | 0 | 0 |
200784d7ee7effded0239659e7b45333e901ccb3 | 1,418 | py | Python | model/investor.py | keremkoseoglu/Kifu | bed7a15f71e2345c654b1adab07a5edecdbae342 | [
"MIT"
] | null | null | null | model/investor.py | keremkoseoglu/Kifu | bed7a15f71e2345c654b1adab07a5edecdbae342 | [
"MIT"
] | 82 | 2020-06-25T09:45:01.000Z | 2022-03-31T09:35:31.000Z | model/investor.py | keremkoseoglu/Kifu | bed7a15f71e2345c654b1adab07a5edecdbae342 | [
"MIT"
] | null | null | null | """ Investment adviser module """
import os
import json
import config
from model.bank_account import get_next_investment_account
_INVEST_FILE = "invest.json"
class InvestmentAdviser:
""" Investment adviser class """
def advise(self, amount: float) -> []:
""" Advise investment """
result = []... | 31.511111 | 74 | 0.547955 | """ Investment adviser module """
import os
import json
import config
from model.bank_account import get_next_investment_account
_INVEST_FILE = "invest.json"
def _get_file_path() -> str:
return os.path.join(config.CONSTANTS["DATA_DIR_PATH"] + _INVEST_FILE)
class InvestmentAdviser:
""" Investment adviser cla... | 205 | 0 | 49 |
607b5c080fb83d5692222b16c4e20140f5d61384 | 3,971 | py | Python | road_pointcloud/points_to_2d.py | Lab1028-19/A-Novel-CNN | 67f8039a8a0595597858c9de0cb1cd2e3b9d8274 | [
"MIT"
] | 2 | 2019-09-05T07:36:26.000Z | 2020-03-18T19:43:02.000Z | road_pointcloud/points_to_2d.py | Lab1028-19/A-Novel-CNN | 67f8039a8a0595597858c9de0cb1cd2e3b9d8274 | [
"MIT"
] | null | null | null | road_pointcloud/points_to_2d.py | Lab1028-19/A-Novel-CNN | 67f8039a8a0595597858c9de0cb1cd2e3b9d8274 | [
"MIT"
] | 1 | 2019-10-13T18:46:15.000Z | 2019-10-13T18:46:15.000Z | import numpy as np
import matplotlib.pyplot as plt
import time | 31.267717 | 69 | 0.62478 | import numpy as np
import matplotlib.pyplot as plt
import time
def xyz_to_ra(points_xyz,v_sy,v_angle,h_sy,h_angle):
v_angle/=180*np.pi
h_angle/=180*np.pi
h_sy/=180*np.pi
v_sy/=180*np.pi
x=points_xyz[:,0]
y=points_xyz[:,1]
z=points_xyz[:,2]
a_h=np.arctan2(x,y+0.00000000000000001)
#pri... | 4,044 | 0 | 89 |
bf8cd270bf4d6917bb5c84e64ac1edd18df3c812 | 738 | py | Python | tests/checks/test_blank_header.py | jdaviscooke/goodtables-py | 7778d1e3630f4ab95dfb76d13106c9733d4ec4c0 | [
"MIT"
] | 243 | 2016-11-20T21:15:21.000Z | 2022-02-22T04:55:40.000Z | tests/checks/test_blank_header.py | jdaviscooke/goodtables-py | 7778d1e3630f4ab95dfb76d13106c9733d4ec4c0 | [
"MIT"
] | 235 | 2016-10-02T21:08:31.000Z | 2020-09-10T11:14:21.000Z | tests/checks/test_blank_header.py | jdaviscooke/goodtables-py | 7778d1e3630f4ab95dfb76d13106c9733d4ec4c0 | [
"MIT"
] | 49 | 2017-02-22T04:36:43.000Z | 2020-07-01T11:10:40.000Z | # -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from goodtables.checks.blank_header import blank_header
import goodtables.cells
# Check
| 22.363636 | 58 | 0.676152 | # -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from goodtables.checks.blank_header import blank_header
import goodtables.cells
# Check
def test_check_blank_header(log):
errors = []
c... | 427 | 0 | 46 |
0df6ceec0b1a1f15a22334ec4e936b287fcc97ab | 366 | py | Python | Python/Basics/py_R3/merging.py | ABPande/MyPythonRepo | 51de39aee6c99b6ea2eb47fb199925ee63ca3750 | [
"Apache-2.0"
] | null | null | null | Python/Basics/py_R3/merging.py | ABPande/MyPythonRepo | 51de39aee6c99b6ea2eb47fb199925ee63ca3750 | [
"Apache-2.0"
] | null | null | null | Python/Basics/py_R3/merging.py | ABPande/MyPythonRepo | 51de39aee6c99b6ea2eb47fb199925ee63ca3750 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
d1 = {
'c1':[1,2,3,4],
'c2':[444,555,666,444],
'c3':'abc def hij lmn'.split()}
d2 = {
'c1':[1,2,3],
'c4':'x y z'.split()
}
print (d1)
df1 = pd.DataFrame(d1)
print (df1)
print(df1['c2'].unique())
df2 = pd.DataFrame(d2)
print (pd.merge(df1,df2,how="inner",on='c1'))
print (df1[... | 17.428571 | 45 | 0.606557 | import numpy as np
import pandas as pd
d1 = {
'c1':[1,2,3,4],
'c2':[444,555,666,444],
'c3':'abc def hij lmn'.split()}
d2 = {
'c1':[1,2,3],
'c4':'x y z'.split()
}
print (d1)
df1 = pd.DataFrame(d1)
print (df1)
print(df1['c2'].unique())
df2 = pd.DataFrame(d2)
print (pd.merge(df1,df2,how="inner",on='c1'))
print (df1[... | 0 | 0 | 0 |
0c4507987bbe041cc2bdbe487c94ab7c04dde3de | 23 | py | Python | lager_cantools/version.py | lagerdata/cantools | d6d571ff2ddd55289d918155186f4d0271652f72 | [
"MIT"
] | 1 | 2021-01-23T14:11:44.000Z | 2021-01-23T14:11:44.000Z | lager_cantools/version.py | lagerdata/cantools | d6d571ff2ddd55289d918155186f4d0271652f72 | [
"MIT"
] | null | null | null | lager_cantools/version.py | lagerdata/cantools | d6d571ff2ddd55289d918155186f4d0271652f72 | [
"MIT"
] | null | null | null | __version__ = '36.1.0'
| 11.5 | 22 | 0.652174 | __version__ = '36.1.0'
| 0 | 0 | 0 |
052b077ebfa28832d4fca6bf0a9de9a5d100eebe | 780 | py | Python | script_migrate_maplet.py | gislite/maplet | eb2577eea96775861fd20b949cd4d88cbb6cd7d1 | [
"MIT"
] | 36 | 2017-04-04T15:20:33.000Z | 2021-06-30T09:37:42.000Z | script_migrate_maplet.py | gislite/maplet | eb2577eea96775861fd20b949cd4d88cbb6cd7d1 | [
"MIT"
] | null | null | null | script_migrate_maplet.py | gislite/maplet | eb2577eea96775861fd20b949cd4d88cbb6cd7d1 | [
"MIT"
] | 16 | 2017-02-26T01:01:43.000Z | 2021-03-17T07:47:57.000Z | # -*- coding: utf-8 -*-
'''
for database schema migration.
Memo for Usage:
migrate.migrate(torcms_migrator.rename_table('e_layout', 'mablayout'))
migrate.migrate(torcms_migrator.drop_column('tabtag', 'role_mask'))
'''
from playhouse import migrate
from playhouse.postgres_ext import BinaryJSONField
import conf... | 21.081081 | 88 | 0.691026 | # -*- coding: utf-8 -*-
'''
for database schema migration.
Memo for Usage:
migrate.migrate(torcms_migrator.rename_table('e_layout', 'mablayout'))
migrate.migrate(torcms_migrator.drop_column('tabtag', 'role_mask'))
'''
from playhouse import migrate
from playhouse.postgres_ext import BinaryJSONField
import conf... | 0 | 0 | 0 |
99639389fb139783327e32121d0f6f95f80e55e4 | 119 | py | Python | asyncorm/migrations/app.py | kejkz/asyncorm | 6342e2d5fbaa22fb368aead772ac4f255df7562a | [
"Apache-2.0"
] | 1 | 2017-02-27T05:37:39.000Z | 2017-02-27T05:37:39.000Z | asyncorm/migrations/app.py | kejkz/asyncorm | 6342e2d5fbaa22fb368aead772ac4f255df7562a | [
"Apache-2.0"
] | null | null | null | asyncorm/migrations/app.py | kejkz/asyncorm | 6342e2d5fbaa22fb368aead772ac4f255df7562a | [
"Apache-2.0"
] | null | null | null | from asyncorm.apps.app_config import AppConfig
| 19.833333 | 46 | 0.806723 | from asyncorm.apps.app_config import AppConfig
class AsyncormMigrations(AppConfig):
name = "asyncorm_migrations"
| 0 | 48 | 23 |
65137ad9cb8ed21ca53490be07665f9b8c6f200c | 2,149 | py | Python | pytype/tools/annotate_ast/annotate_ast_test.py | priyansh19/pytype | 44b1f6f7cddccb326abac4c21b4f26688369764e | [
"Apache-2.0"
] | 2 | 2019-07-25T12:53:02.000Z | 2019-08-18T16:26:16.000Z | pytype/tools/annotate_ast/annotate_ast_test.py | priyansh19/pytype | 44b1f6f7cddccb326abac4c21b4f26688369764e | [
"Apache-2.0"
] | null | null | null | pytype/tools/annotate_ast/annotate_ast_test.py | priyansh19/pytype | 44b1f6f7cddccb326abac4c21b4f26688369764e | [
"Apache-2.0"
] | null | null | null | import ast
import itertools
import textwrap
from pytype import config
from pytype.tests import test_base
from pytype.tools.annotate_ast import annotate_ast
import six
test_base.main(globals(), __name__ == '__main__')
| 29.040541 | 80 | 0.63006 | import ast
import itertools
import textwrap
from pytype import config
from pytype.tests import test_base
from pytype.tools.annotate_ast import annotate_ast
import six
class AnnotaterTest(test_base.TargetIndependentTest):
def annotate(self, source):
source = textwrap.dedent(source.lstrip('\n'))
filename = ... | 1,773 | 32 | 123 |
5d394aab4a97dddeead75000c18cb7c974c9cf00 | 5,205 | py | Python | app/management/services/user.py | Arjun-sna/flask-forum-api-service | 9c33c10269a147d7c5225e9c9106ccc43eb31705 | [
"BSD-3-Clause"
] | null | null | null | app/management/services/user.py | Arjun-sna/flask-forum-api-service | 9c33c10269a147d7c5225e9c9106ccc43eb31705 | [
"BSD-3-Clause"
] | 1 | 2021-11-25T17:25:19.000Z | 2021-11-25T17:25:19.000Z | app/management/services/user.py | Arjun-sna/flask-forum-api-service | 9c33c10269a147d7c5225e9c9106ccc43eb31705 | [
"BSD-3-Clause"
] | null | null | null | from sqlalchemy.orm.session import make_transient, make_transient_to_detached
from app.utils.settings import app_config
from flask_allows import Not, Permission
from app.utils.requirements import IsAdmin
from flask_jwt_extended import current_user
from app.user.models import User, Group
from ..schemas import UsersSchem... | 34.932886 | 84 | 0.614986 | from sqlalchemy.orm.session import make_transient, make_transient_to_detached
from app.utils.settings import app_config
from flask_allows import Not, Permission
from app.utils.requirements import IsAdmin
from flask_jwt_extended import current_user
from app.user.models import User, Group
from ..schemas import UsersSchem... | 4,333 | -1 | 427 |
6ad70d4913158b0de1cd1d5f537e156a79bc50eb | 1,339 | py | Python | chapter05/dcc.py | farispriadi/pelatihan-dash-plotly | 0b5d19457ee7b8a2ae3d6226eefcbb5bd1288c4e | [
"MIT"
] | null | null | null | chapter05/dcc.py | farispriadi/pelatihan-dash-plotly | 0b5d19457ee7b8a2ae3d6226eefcbb5bd1288c4e | [
"MIT"
] | null | null | null | chapter05/dcc.py | farispriadi/pelatihan-dash-plotly | 0b5d19457ee7b8a2ae3d6226eefcbb5bd1288c4e | [
"MIT"
] | null | null | null | import dash
import dash_core_components as dcc
import dash_html_components as html
# object Dash app
app = dash.Dash()
app.layout = html.Div([
# Div untuk Dropdown
html.Div([
html.Label(["Length Unit"]),
dcc.Dropdown(id='my-dropdown',
options=[{'label':'cm', 'value': 'centimeter'},
{'label':'m',... | 25.264151 | 69 | 0.572816 | import dash
import dash_core_components as dcc
import dash_html_components as html
# object Dash app
app = dash.Dash()
app.layout = html.Div([
# Div untuk Dropdown
html.Div([
html.Label(["Length Unit"]),
dcc.Dropdown(id='my-dropdown',
options=[{'label':'cm', 'value': 'centimeter'},
{'label':'m',... | 0 | 0 | 0 |
0709136c65c19a457ce1e79f275f302e590174e3 | 305 | py | Python | twitter-api/tweet_fields.py | YusukeTokugawa/twitter-api | ca8f255990763c18509133fc91bdb50687d53051 | [
"MIT"
] | null | null | null | twitter-api/tweet_fields.py | YusukeTokugawa/twitter-api | ca8f255990763c18509133fc91bdb50687d53051 | [
"MIT"
] | null | null | null | twitter-api/tweet_fields.py | YusukeTokugawa/twitter-api | ca8f255990763c18509133fc91bdb50687d53051 | [
"MIT"
] | null | null | null | # coding: UTF-8
'''
Created on Nov 13, 2018
@author: Yusuke_Tokugawa
'''
import dataclasses
from typing import List
@dataclasses.dataclass | 15.25 | 24 | 0.665574 | # coding: UTF-8
'''
Created on Nov 13, 2018
@author: Yusuke_Tokugawa
'''
import dataclasses
from typing import List
@dataclasses.dataclass
class TweetFields:
fullname: str
href: str
id: int
date: str
hashtags: List[str]
likes: int
replies: int
retweets: int
text: str | 0 | 143 | 22 |
24f316fad364552997dc369dd2acbc4eb744fea3 | 4,912 | py | Python | PasteJacker/Core/utils.py | TheRipperJhon/Paste_Jacker | 16ba7ad81c5ed999921092c1b4547ff5234dbb4d | [
"CNRI-Python",
"Linux-OpenIB"
] | null | null | null | PasteJacker/Core/utils.py | TheRipperJhon/Paste_Jacker | 16ba7ad81c5ed999921092c1b4547ff5234dbb4d | [
"CNRI-Python",
"Linux-OpenIB"
] | null | null | null | PasteJacker/Core/utils.py | TheRipperJhon/Paste_Jacker | 16ba7ad81c5ed999921092c1b4547ff5234dbb4d | [
"CNRI-Python",
"Linux-OpenIB"
] | null | null | null | # -*- encoding: utf-8 -*-
#Written by: Karim shoair - D4Vinci ( Cr3dOv3r )
import os,time,subprocess,pkg_resources
from . import updater
from .color import *
banner = """{G}
/T /I
/ |/ | .-~/
T\ Y I |/ / _
/T ... | 40.595041 | 142 | 0.398208 | # -*- encoding: utf-8 -*-
#Written by: Karim shoair - D4Vinci ( Cr3dOv3r )
import os,time,subprocess,pkg_resources
from . import updater
from .color import *
banner = """{G}
/T /I
/ |/ | .-~/
T\ Y I |/ / _
/T ... | 1,893 | 0 | 207 |
5b216f79fa5ffe20d22dfb6cc1246b8152e02dc6 | 319 | py | Python | BPt/extensions/tests/test_feat_selectors.py | sahahn/ABCD_ML | a8b1c48c33f3fdc046c8922964f1c456273238da | [
"MIT"
] | 1 | 2019-09-25T23:23:49.000Z | 2019-09-25T23:23:49.000Z | BPt/extensions/tests/test_feat_selectors.py | sahahn/ABCD_ML | a8b1c48c33f3fdc046c8922964f1c456273238da | [
"MIT"
] | 1 | 2020-04-20T20:53:27.000Z | 2020-04-20T20:53:27.000Z | BPt/extensions/tests/test_feat_selectors.py | sahahn/ABCD_ML | a8b1c48c33f3fdc046c8922964f1c456273238da | [
"MIT"
] | 1 | 2019-06-21T14:44:40.000Z | 2019-06-21T14:44:40.000Z | import numpy as np
from ..feat_selectors import FeatureSelector
| 18.764706 | 49 | 0.633229 | import numpy as np
from ..feat_selectors import FeatureSelector
def basic_test():
mask = np.ones(10)
mask[0] = .4
X = np.random.random((20, 10))
fs = FeatureSelector(mask=mask)
X_trans = fs.fit_transform(X)
assert X_trans.shape == (20, 9)
assert np.array_equal(X_trans[:, 0], X[:, 1])
| 231 | 0 | 23 |
621a9a60082fb8b10a97b7cd141a6116567a51df | 7,906 | py | Python | GPG/util/utils.py | HLTCHKUST/MulQG | 8e257f2d6c0f03c07ea8a0bf0e8f55b0cde60605 | [
"MIT"
] | 19 | 2020-10-05T16:28:13.000Z | 2022-02-22T12:16:27.000Z | GPG/util/utils.py | Iamfinethanksu/MulQG | 8e257f2d6c0f03c07ea8a0bf0e8f55b0cde60605 | [
"MIT"
] | 9 | 2021-01-20T15:15:53.000Z | 2021-09-07T09:07:56.000Z | GPG/util/utils.py | Iamfinethanksu/MulQG | 8e257f2d6c0f03c07ea8a0bf0e8f55b0cde60605 | [
"MIT"
] | 7 | 2020-10-16T14:18:24.000Z | 2021-11-09T05:46:00.000Z | import os
import csv
import codecs
import yaml
import time
import numpy as np
import nltk
from nltk.translate import bleu_score
import pickle
import gzip
def read_config(path):
'''读取config文件'''
return AttrDict(yaml.load(open(path, 'r')))
| 33.218487 | 142 | 0.536175 | import os
import csv
import codecs
import yaml
import time
import numpy as np
import nltk
from nltk.translate import bleu_score
import pickle
import gzip
class AttrDict(dict):
def __init__(self, *args, **kwargs):
super(AttrDict, self).__init__(*args, **kwargs)
self.__dict__ = self
... | 7,265 | 0 | 352 |
5d090eb55bb69a6293474e9189a1449f588d5950 | 1,446 | py | Python | lektor_expression_type.py | dairiki/lektor-expression-type | f6840da291c0f7bb7edc453f31e0499bc54899a7 | [
"MIT"
] | 1 | 2021-12-17T20:26:06.000Z | 2021-12-17T20:26:06.000Z | lektor_expression_type.py | dairiki/lektor-expression-type | f6840da291c0f7bb7edc453f31e0499bc54899a7 | [
"MIT"
] | null | null | null | lektor_expression_type.py | dairiki/lektor-expression-type | f6840da291c0f7bb7edc453f31e0499bc54899a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Add jinja-evaluated types to lektor.
"""
import jinja2
from lektor.environment import (
Expression,
FormatExpression,
)
from lektor.pluginsystem import Plugin
from lektor.types import Type
| 26.290909 | 72 | 0.670124 | # -*- coding: utf-8 -*-
"""Add jinja-evaluated types to lektor.
"""
import jinja2
from lektor.environment import (
Expression,
FormatExpression,
)
from lektor.pluginsystem import Plugin
from lektor.types import Type
class ExpressionDescriptor(object):
def __init__(self, pad, expr):
self.pad = ... | 725 | 293 | 195 |
47d9074575468008735489144ac6845135745e46 | 784 | py | Python | utils.py | jwustrack/climon | 0fca00a727c39de01c42162d42b193f326705892 | [
"MIT"
] | 3 | 2018-12-22T06:30:46.000Z | 2021-05-05T04:51:22.000Z | utils.py | jwustrack/climon | 0fca00a727c39de01c42162d42b193f326705892 | [
"MIT"
] | null | null | null | utils.py | jwustrack/climon | 0fca00a727c39de01c42162d42b193f326705892 | [
"MIT"
] | null | null | null | '''
Non-business-logic utility functions
'''
def firsts(rows):
'''
Returns the set of first elements of all rows:
>>> sorted(firsts([(7, 1, 2),\
[5, 4, 0, 3],\
[8, 4],\
[5, 4]]))
[5, 7, 8]
'''
return set(r[0] for r in rows)
def pack_by(l, n):
'''
Yields element... | 21.189189 | 86 | 0.482143 | '''
Non-business-logic utility functions
'''
def firsts(rows):
'''
Returns the set of first elements of all rows:
>>> sorted(firsts([(7, 1, 2),\
[5, 4, 0, 3],\
[8, 4],\
[5, 4]]))
[5, 7, 8]
'''
return set(r[0] for r in rows)
def pack_by(l, n):
'''
Yields element... | 0 | 0 | 0 |
70a2317f1023e36a90a02c4f0ade61f4afe73e24 | 2,559 | py | Python | speccases/extrapolatecases2.py | alex1770/Covid-19 | 0212593bf5d9bcbb7009c7d1fb1710116ad8bf32 | [
"MIT"
] | 5 | 2021-06-26T09:22:45.000Z | 2021-12-20T21:29:22.000Z | speccases/extrapolatecases2.py | alex1770/Covid-19 | 0212593bf5d9bcbb7009c7d1fb1710116ad8bf32 | [
"MIT"
] | 1 | 2021-12-21T09:45:17.000Z | 2021-12-21T09:45:17.000Z | speccases/extrapolatecases2.py | alex1770/Covid-19 | 0212593bf5d9bcbb7009c7d1fb1710116ad8bf32 | [
"MIT"
] | 2 | 2021-06-25T18:27:56.000Z | 2021-12-12T17:49:31.000Z | from stuff import *
import json,os
from requests import get
import numpy as np
from random import random
from math import sqrt,log
np.set_printoptions(precision=4,suppress=True)
np.set_printoptions(edgeitems=30, linewidth=100000)
adir='casesbyspecdate'
mindate='2021-02-24'# Can't get archive data earlier than 2021-02... | 28.120879 | 144 | 0.686987 | from stuff import *
import json,os
from requests import get
import numpy as np
from random import random
from math import sqrt,log
np.set_printoptions(precision=4,suppress=True)
np.set_printoptions(edgeitems=30, linewidth=100000)
adir='casesbyspecdate'
mindate='2021-02-24'# Can't get archive data earlier than 2021-02... | 0 | 0 | 0 |
42aa2f6ae401e038ba8cf92ad6a26fc1d78559e2 | 8,578 | py | Python | qiskit_metal/qlibrary/qubits/transmon_concentric.py | TomVethaak/qiskit-metal | 0fd3049b16a2b28dc6890b696d67329a91da70b9 | [
"Apache-2.0"
] | 167 | 2021-03-17T20:35:17.000Z | 2022-03-31T13:25:04.000Z | qiskit_metal/qlibrary/qubits/transmon_concentric.py | TomVethaak/qiskit-metal | 0fd3049b16a2b28dc6890b696d67329a91da70b9 | [
"Apache-2.0"
] | 307 | 2021-03-17T14:07:43.000Z | 2022-03-23T14:22:20.000Z | qiskit_metal/qlibrary/qubits/transmon_concentric.py | TomVethaak/qiskit-metal | 0fd3049b16a2b28dc6890b696d67329a91da70b9 | [
"Apache-2.0"
] | 122 | 2021-03-17T14:21:24.000Z | 2022-03-18T10:09:38.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 41.240385 | 93 | 0.56097 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 421 | 0 | 30 |
8031c75efb463daa85a3b8255bc080c973495316 | 1,987 | py | Python | optimal/common.py | Azzukhan/optimal | 75c59742b3942f12b2dfca9b4d1a282e76a394c9 | [
"MIT"
] | 36 | 2017-09-08T14:47:27.000Z | 2022-03-31T02:12:31.000Z | optimal/common.py | Azzukhan/optimal | 75c59742b3942f12b2dfca9b4d1a282e76a394c9 | [
"MIT"
] | 1 | 2020-03-03T04:29:57.000Z | 2020-07-06T03:42:56.000Z | optimal/common.py | Azzukhan/optimal | 75c59742b3942f12b2dfca9b4d1a282e76a394c9 | [
"MIT"
] | 14 | 2017-10-03T12:45:20.000Z | 2021-12-16T01:48:00.000Z | ###############################################################################
# The MIT License (MIT)
#
# Copyright (c) 2014 Justin Lovinger
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Softwar... | 42.276596 | 80 | 0.688978 | ###############################################################################
# The MIT License (MIT)
#
# Copyright (c) 2014 Justin Lovinger
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Softwar... | 0 | 0 | 0 |
3ff917c777f72277fd28e8ac7003422aca296956 | 3,594 | py | Python | RQ1_data_software/phase2_energy_detector/energy_to_csv/rosd_energy_to_csv.py | S2-group/msr-2021-robotics-green-architectural-tactics-replication-package | fc4a205b00abb0b096c472856002e440e73f2c5d | [
"MIT"
] | 2 | 2021-03-26T17:29:27.000Z | 2021-03-27T20:06:21.000Z | RQ1_data_software/phase2_energy_detector/energy_to_csv/rosd_energy_to_csv.py | S2-group/msr-2021-robotics-green-architectural-tactics-replication-package | fc4a205b00abb0b096c472856002e440e73f2c5d | [
"MIT"
] | null | null | null | RQ1_data_software/phase2_energy_detector/energy_to_csv/rosd_energy_to_csv.py | S2-group/msr-2021-robotics-green-architectural-tactics-replication-package | fc4a205b00abb0b096c472856002e440e73f2c5d | [
"MIT"
] | null | null | null | import csv
import json
from itertools import zip_longest
with open('../energy_detectors/data/ros-discourse_data.json') as f:
rosd_data = json.load(f)
rosd_url = [item.get('url') for item in rosd_data]
rosd_tcontents = [item.get('thread_contents')
for item in rosd_data]
rosd_tdetails = [item.get(... | 25.856115 | 67 | 0.640512 | import csv
import json
from itertools import zip_longest
with open('../energy_detectors/data/ros-discourse_data.json') as f:
rosd_data = json.load(f)
rosd_url = [item.get('url') for item in rosd_data]
rosd_tcontents = [item.get('thread_contents')
for item in rosd_data]
rosd_tdetails = [item.get(... | 0 | 0 | 0 |
2aca6a7718320e83f4233372a60a2fc78adae9c3 | 4,535 | py | Python | core/wavenet/utils.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 4 | 2020-12-07T19:13:13.000Z | 2022-01-30T18:52:18.000Z | core/wavenet/utils.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 12 | 2020-09-25T22:41:28.000Z | 2022-02-09T23:46:34.000Z | core/wavenet/utils.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 2 | 2021-03-02T18:31:04.000Z | 2021-03-02T21:56:43.000Z | import tensorflow as tf
import numpy as np
def mu_law(x, mu=255, int8=False):
"""A TF implementation of Mu-Law encoding.
Args:
x: The audio samples to encode between [-1, 1]
mu: The Mu to use in our Mu-Law.
int8: Use int8 encoding.
Returns:
out: The Mu-Law encoded int8 data [-128... | 29.835526 | 80 | 0.609041 | import tensorflow as tf
import numpy as np
def mu_law(x, mu=255, int8=False):
"""A TF implementation of Mu-Law encoding.
Args:
x: The audio samples to encode between [-1, 1]
mu: The Mu to use in our Mu-Law.
int8: Use int8 encoding.
Returns:
out: The Mu-Law encoded int8 data [-128... | 384 | 0 | 23 |
ec6d2c8aee2e2a6ef3c232a2eeca32800b0fb871 | 899 | py | Python | Assignment3/src/test/ParserSuite.py | ntnguyen648936/PPL-BKOOOL | 458f54683da01d2105cf3cffc8ecbc2aeb796df8 | [
"Apache-2.0"
] | null | null | null | Assignment3/src/test/ParserSuite.py | ntnguyen648936/PPL-BKOOOL | 458f54683da01d2105cf3cffc8ecbc2aeb796df8 | [
"Apache-2.0"
] | null | null | null | Assignment3/src/test/ParserSuite.py | ntnguyen648936/PPL-BKOOOL | 458f54683da01d2105cf3cffc8ecbc2aeb796df8 | [
"Apache-2.0"
] | 1 | 2022-01-27T15:38:22.000Z | 2022-01-27T15:38:22.000Z | import unittest
from TestUtils import TestParser
| 28.09375 | 58 | 0.522803 | import unittest
from TestUtils import TestParser
class ParserSuite(unittest.TestCase):
def test_simple_program(self):
input = r"""
class main {
final static boolean[3] a = {true,false,true};
int[2] b = {1,2};
final string[1] c = {"hello"}, d = {"world"};
... | 732 | 16 | 102 |
3b1cb9b4c99e4da7354a4da28dddc7745979a487 | 250 | py | Python | list01/exer_07.py | pedrolucas27/exercising-python | 4b30bbce6b860fb617baf4600d8da83b68023e82 | [
"MIT"
] | null | null | null | list01/exer_07.py | pedrolucas27/exercising-python | 4b30bbce6b860fb617baf4600d8da83b68023e82 | [
"MIT"
] | null | null | null | list01/exer_07.py | pedrolucas27/exercising-python | 4b30bbce6b860fb617baf4600d8da83b68023e82 | [
"MIT"
] | null | null | null | #Faça um Programa que calcule a área de um quadrado,
# em seguida mostre o dobro desta área para o usuário.
from decimal import Decimal
lado = Decimal(input("Informe o lado do quadrado:"))
a = lado ** 2
print("O dobro da área do quadrado é",(a * 2)) | 41.666667 | 55 | 0.724 | #Faça um Programa que calcule a área de um quadrado,
# em seguida mostre o dobro desta área para o usuário.
from decimal import Decimal
lado = Decimal(input("Informe o lado do quadrado:"))
a = lado ** 2
print("O dobro da área do quadrado é",(a * 2)) | 0 | 0 | 0 |
de0d5a324575b0402bd8b86558dc69e727ac424a | 3,396 | py | Python | common/OpTestVIOS.py | rashijhawar/op-test | ccc1ced2a9dc0177a538f170b5e029ac3473c3ae | [
"Apache-2.0"
] | null | null | null | common/OpTestVIOS.py | rashijhawar/op-test | ccc1ced2a9dc0177a538f170b5e029ac3473c3ae | [
"Apache-2.0"
] | null | null | null | common/OpTestVIOS.py | rashijhawar/op-test | ccc1ced2a9dc0177a538f170b5e029ac3473c3ae | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# IBM_PROLOG_BEGIN_TAG
# OpenPOWER Automated Test Project
#
# Contributors Listed Below - COPYRIGHT 2022
# [+] International Business Machines Corp.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may o... | 36.12766 | 102 | 0.664016 | #!/usr/bin/env python3
# IBM_PROLOG_BEGIN_TAG
# OpenPOWER Automated Test Project
#
# Contributors Listed Below - COPYRIGHT 2022
# [+] International Business Machines Corp.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may o... | 341 | 0 | 54 |
1792a601d25a24087e8227af24b3f9f553e31f8b | 385 | py | Python | traktor_tester.py | DrLuke/VJPyree-GPN20 | dfe27c7c342de15cb10ff454b99732f13eca05b0 | [
"MIT"
] | 1 | 2022-03-30T21:28:52.000Z | 2022-03-30T21:28:52.000Z | traktor_tester.py | DrLuke/VJPyree-GPN20 | dfe27c7c342de15cb10ff454b99732f13eca05b0 | [
"MIT"
] | null | null | null | traktor_tester.py | DrLuke/VJPyree-GPN20 | dfe27c7c342de15cb10ff454b99732f13eca05b0 | [
"MIT"
] | null | null | null | import mido
from pythonosc import udp_client
import time
oscip = "127.0.0.1"
oscport = 31337
client = udp_client.SimpleUDPClient(oscip, oscport)
# Read from midi
#with mido.open_input() as inport:
# while True:
# for msg in inport:
# client.send_message("/traktor/beat", msg.type)
while True:
... | 19.25 | 59 | 0.680519 | import mido
from pythonosc import udp_client
import time
oscip = "127.0.0.1"
oscport = 31337
client = udp_client.SimpleUDPClient(oscip, oscport)
# Read from midi
#with mido.open_input() as inport:
# while True:
# for msg in inport:
# client.send_message("/traktor/beat", msg.type)
while True:
... | 0 | 0 | 0 |
433541354c6056e9f1524970ecb5bba556957a14 | 12,259 | py | Python | mediagoblin/auth/views.py | stenwt/mediagoblin-quickstart-openshift | 4a728c4b3b988c59eb9a43ad1ae1ca5edf8bc3c2 | [
"CC0-1.0"
] | 1 | 2016-02-10T18:22:42.000Z | 2016-02-10T18:22:42.000Z | mediagoblin/auth/views.py | stenwt/mediagoblin-quickstart-openshift | 4a728c4b3b988c59eb9a43ad1ae1ca5edf8bc3c2 | [
"CC0-1.0"
] | 1 | 2016-04-19T13:03:17.000Z | 2016-04-19T13:03:17.000Z | mediagoblin/auth/views.py | stenwt/mediagoblin-quickstart-openshift | 4a728c4b3b988c59eb9a43ad1ae1ca5edf8bc3c2 | [
"CC0-1.0"
] | null | null | null | # GNU MediaGoblin -- federated, autonomous media hosting
# Copyright (C) 2011, 2012 MediaGoblin contributors. See AUTHORS.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either versio... | 34.532394 | 99 | 0.625907 | # GNU MediaGoblin -- federated, autonomous media hosting
# Copyright (C) 2011, 2012 MediaGoblin contributors. See AUTHORS.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either versio... | 127 | 0 | 23 |
81481a59f2f7e592b80b5ac6e993fd1db93b953a | 750 | py | Python | tf_netbuilder/utils.py | thunfischtoast/tf_netbuilder | 728826ac5e4e58a39ea862cecc86ad249a19e278 | [
"Apache-2.0"
] | 10 | 2020-11-06T13:44:44.000Z | 2021-11-20T11:20:23.000Z | tf_netbuilder/utils.py | thunfischtoast/tf_netbuilder | 728826ac5e4e58a39ea862cecc86ad249a19e278 | [
"Apache-2.0"
] | 2 | 2021-01-11T06:41:54.000Z | 2021-03-31T10:41:49.000Z | tf_netbuilder/utils.py | thunfischtoast/tf_netbuilder | 728826ac5e4e58a39ea862cecc86ad249a19e278 | [
"Apache-2.0"
] | 10 | 2020-11-12T23:02:28.000Z | 2022-01-29T12:07:41.000Z |
def round_channels(channels, multiplier=1.0, divisor=8, channel_min=None):
"""Round number of filters based on depth multiplier."""
if not multiplier:
return channels
channels *= multiplier
return make_divisible(channels, divisor, channel_min)
| 27.777778 | 79 | 0.646667 |
def make_divisible(v: int, divisor: int = 8, min_value: int = None):
min_value = min_value or divisor
new_v = max(min_value, int(v + divisor / 2) // divisor * divisor)
if new_v < 0.9 * v: # ensure round down does not go down by more than 10%.
new_v += divisor
return new_v
def round_channels... | 409 | 0 | 69 |
1b56d28081a5ccc2d9b201eb90aaaf5c059d79c3 | 1,064 | py | Python | tests/webpage_get_test.py | wasPrime/mini-spider | a6489834bfa4447acb1f167876519cdc94aa4e3a | [
"MIT"
] | null | null | null | tests/webpage_get_test.py | wasPrime/mini-spider | a6489834bfa4447acb1f167876519cdc94aa4e3a | [
"MIT"
] | null | null | null | tests/webpage_get_test.py | wasPrime/mini-spider | a6489834bfa4447acb1f167876519cdc94aa4e3a | [
"MIT"
] | null | null | null | import unittest
from module import webpage_get
NORMAL_URL_LIST = ["http://www.baidu.com"]
ABNORMAL_URL_LIST = ["aaa"]
DEFAULT_TIMEOUT = 1
| 32.242424 | 78 | 0.693609 | import unittest
from module import webpage_get
NORMAL_URL_LIST = ["http://www.baidu.com"]
ABNORMAL_URL_LIST = ["aaa"]
DEFAULT_TIMEOUT = 1
class TestIsUrlAccessible(unittest.TestCase):
def test_normal(self):
for normal_url in NORMAL_URL_LIST:
ret = webpage_get.is_url_accessible(normal_url, DEF... | 728 | 43 | 152 |
351c0194af81465a2af9324be0bbf9d87b4d0893 | 4,467 | py | Python | src/eduid_action/tou/action.py | SUNET/eduid-action | 16c7c737de604ae7376d0b44ef4ff0f274810139 | [
"BSD-3-Clause"
] | null | null | null | src/eduid_action/tou/action.py | SUNET/eduid-action | 16c7c737de604ae7376d0b44ef4ff0f274810139 | [
"BSD-3-Clause"
] | 2 | 2018-09-11T06:06:30.000Z | 2018-12-20T15:02:52.000Z | src/eduid_action/tou/action.py | SUNET/eduid-action | 16c7c737de604ae7376d0b44ef4ff0f274810139 | [
"BSD-3-Clause"
] | 1 | 2018-09-11T10:11:55.000Z | 2018-09-11T10:11:55.000Z | #
# Copyright (c) 2015 NORDUnet A/S
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of ... | 42.141509 | 91 | 0.690172 | #
# Copyright (c) 2015 NORDUnet A/S
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of ... | 2,397 | 184 | 23 |
3560f4e8f134dcb8a39aec649cb2bc15d8b44924 | 4,864 | py | Python | throttle/zones/__init__.py | alimp5/django-throttle-requests | 9072b2570f1ce3c2e12f7590fc2596045ab528d7 | [
"MIT"
] | 1 | 2021-05-16T16:57:13.000Z | 2021-05-16T16:57:13.000Z | throttle/zones/__init__.py | alimp5/django-throttle-requests | 9072b2570f1ce3c2e12f7590fc2596045ab528d7 | [
"MIT"
] | null | null | null | throttle/zones/__init__.py | alimp5/django-throttle-requests | 9072b2570f1ce3c2e12f7590fc2596045ab528d7 | [
"MIT"
] | null | null | null | import time
from django.core.exceptions import ImproperlyConfigured
from django.conf import settings
from throttle.zones.remoteip import RemoteIP
from throttle.exceptions import ThrottleZoneNotDefined, ThrottleImproperlyConfigured, RateLimitExceeded
from throttle.utils import load_class_from_path, serialize_bucket_key... | 40.533333 | 119 | 0.680304 | import time
from django.core.exceptions import ImproperlyConfigured
from django.conf import settings
from throttle.zones.remoteip import RemoteIP
from throttle.exceptions import ThrottleZoneNotDefined, ThrottleImproperlyConfigured, RateLimitExceeded
from throttle.utils import load_class_from_path, serialize_bucket_key... | 4,202 | 127 | 69 |
c584425081b5cf5b4c4ae2163f73660f6a7819ee | 2,602 | py | Python | brml/potvariables.py | herupraptono/pybrml | 42fa70f17c303943447816234a87b3c5815f12bb | [
"CNRI-Python"
] | 136 | 2015-02-15T15:10:56.000Z | 2022-03-09T10:08:17.000Z | brml/potvariables.py | tulcod/PyBRML | 55357ef60e394d7146af037dbfcab97f7b29d44b | [
"CNRI-Python"
] | null | null | null | brml/potvariables.py | tulcod/PyBRML | 55357ef60e394d7146af037dbfcab97f7b29d44b | [
"CNRI-Python"
] | 43 | 2015-02-15T15:11:25.000Z | 2021-07-16T15:08:10.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Mingjun Zhou <mingjun.zhou@gmail.com>
# Licence: BSD 3 clause
import numpy as np
def potvariables(pots):
"""Returns information about all variables in a set of potentials
Return the variables and their number of states.
If there is a dimension mi... | 34.236842 | 78 | 0.586088 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Mingjun Zhou <mingjun.zhou@gmail.com>
# Licence: BSD 3 clause
import numpy as np
def potvariables(pots):
"""Returns information about all variables in a set of potentials
Return the variables and their number of states.
If there is a dimension mi... | 0 | 0 | 0 |
0c76192008acbda76de5c6c98621f555a262cb8c | 2,601 | py | Python | app/utils/login/login_util.py | Hansybx/guohe3 | 53990b92f5d45bac1c2b903fd8df9cb97283697e | [
"Apache-2.0"
] | 1 | 2019-08-18T13:16:14.000Z | 2019-08-18T13:16:14.000Z | app/utils/login/login_util.py | Hansybx/guohe3 | 53990b92f5d45bac1c2b903fd8df9cb97283697e | [
"Apache-2.0"
] | 1 | 2019-08-19T02:05:32.000Z | 2022-02-11T07:27:37.000Z | app/utils/login/login_util.py | Hansybx/guohe3 | 53990b92f5d45bac1c2b903fd8df9cb97283697e | [
"Apache-2.0"
] | 1 | 2019-08-18T09:08:25.000Z | 2019-08-18T09:08:25.000Z | """
-*- coding: utf-8 -*-
Time : 2019/7/13 15:51
Author : Hansybx
"""
import re
import requests
from bs4 import BeautifulSoup
from flask import jsonify
from app.models.error import PasswordFailed
from app.models.student_info import StudentInfo
from app.utils.common_utils import put_to_mysql
headers = {
'... | 28.582418 | 135 | 0.657824 | """
-*- coding: utf-8 -*-
Time : 2019/7/13 15:51
Author : Hansybx
"""
import re
import requests
from bs4 import BeautifulSoup
from flask import jsonify
from app.models.error import PasswordFailed
from app.models.student_info import StudentInfo
from app.utils.common_utils import put_to_mysql
headers = {
'... | 1,909 | 0 | 92 |
db4010607e5a532af1db0ed8547b61b66ea92b78 | 947 | py | Python | sysinv/sysinv/sysinv/sysinv/db/sqlalchemy/migrate_repo/versions/039_rpm_to_idisk.py | albailey/config | 40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9 | [
"Apache-2.0"
] | 10 | 2020-02-07T18:57:44.000Z | 2021-09-11T10:29:34.000Z | sysinv/sysinv/sysinv/sysinv/db/sqlalchemy/migrate_repo/versions/039_rpm_to_idisk.py | albailey/config | 40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9 | [
"Apache-2.0"
] | 1 | 2021-01-14T12:01:55.000Z | 2021-01-14T12:01:55.000Z | sysinv/sysinv/sysinv/sysinv/db/sqlalchemy/migrate_repo/versions/039_rpm_to_idisk.py | albailey/config | 40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9 | [
"Apache-2.0"
] | 10 | 2020-10-13T08:37:46.000Z | 2022-02-09T00:21:25.000Z | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2013-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from sqlalchemy import Column, MetaData, String, Table
from sysinv.common import constants
ENGINE = 'InnoDB'
CHARSET = 'utf8'
| 23.675 | 74 | 0.697994 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2013-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from sqlalchemy import Column, MetaData, String, Table
from sysinv.common import constants
ENGINE = 'InnoDB'
CHARSET = 'utf8'
def _populate_rpm_type(idisk_table):
disks =... | 606 | 0 | 69 |
d84e5b1e84e339c738c6715276cfc4602317308a | 317 | py | Python | venv/lib/python3.8/site-packages/songpal/__init__.py | vsevolodpohvalenko/home-assistant | 4ae19b7d5d843c65ba700922c1814755257eb4e0 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/songpal/__init__.py | vsevolodpohvalenko/home-assistant | 4ae19b7d5d843c65ba700922c1814755257eb4e0 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/songpal/__init__.py | vsevolodpohvalenko/home-assistant | 4ae19b7d5d843c65ba700922c1814755257eb4e0 | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
from importlib_metadata import version # type: ignore
from songpal.common import SongpalException
from songpal.device import Device
from songpal.notification import (
ConnectChange,
ContentChange,
Notification,
PowerChange,
VolumeChange,
)
__version__ = version("python-songpal")
| 22.642857 | 54 | 0.769716 | # flake8: noqa
from importlib_metadata import version # type: ignore
from songpal.common import SongpalException
from songpal.device import Device
from songpal.notification import (
ConnectChange,
ContentChange,
Notification,
PowerChange,
VolumeChange,
)
__version__ = version("python-songpal")
| 0 | 0 | 0 |
9fdbf1fc42ece41e217bfd55e5aff5e2209c5666 | 1,343 | py | Python | torch_rl/envs/__init__.py | JimmyMVP/plain_rl | 4780f05fffb62533a339197b49de487cdc9d9954 | [
"MIT"
] | 10 | 2018-03-18T21:27:59.000Z | 2020-08-13T20:15:05.000Z | torch_rl/envs/__init__.py | JimmyMVP/plain_rl | 4780f05fffb62533a339197b49de487cdc9d9954 | [
"MIT"
] | 1 | 2018-03-19T09:51:04.000Z | 2018-03-19T10:11:02.000Z | torch_rl/envs/__init__.py | JimmyMVP/plain_rl | 4780f05fffb62533a339197b49de487cdc9d9954 | [
"MIT"
] | 3 | 2018-03-10T09:17:10.000Z | 2019-12-17T20:19:56.000Z | from gym.envs.registration import register
from .wrappers import *
from .logger import *
from .envs import *
register(
id='BanditsX2-v0',
kwargs = {'num_bandits' : 2},
entry_point='torch_rl.envs:BanditEnv',
)
register(
id='BanditsX4-v0',
kwargs = {'num_bandits' : 4},
entry_point='torch_rl.env... | 17.671053 | 60 | 0.613552 | from gym.envs.registration import register
from .wrappers import *
from .logger import *
from .envs import *
register(
id='BanditsX2-v0',
kwargs = {'num_bandits' : 2},
entry_point='torch_rl.envs:BanditEnv',
)
register(
id='BanditsX4-v0',
kwargs = {'num_bandits' : 4},
entry_point='torch_rl.env... | 0 | 0 | 0 |
e6eff242e63560ac48a84867e188b0929841ee24 | 1,883 | py | Python | dash_app/predict.py | zeyu2001/ICT1002-Python | 76a2c8ad3e3c4a3c873a9259e2a11488c33f2bf7 | [
"MIT"
] | 1 | 2020-10-31T06:57:01.000Z | 2020-10-31T06:57:01.000Z | dash_app/predict.py | zeyu2001/ICT1002-Python | 76a2c8ad3e3c4a3c873a9259e2a11488c33f2bf7 | [
"MIT"
] | null | null | null | dash_app/predict.py | zeyu2001/ICT1002-Python | 76a2c8ad3e3c4a3c873a9259e2a11488c33f2bf7 | [
"MIT"
] | 1 | 2021-12-04T10:02:16.000Z | 2021-12-04T10:02:16.000Z | import dash_html_components as html
import dash_core_components as dcc
import dash_table as dt
import pandas as pd
heading_2 = html.Header(
html.H2(
"Classify Emails (Spam or Ham)",
style={
"text-align": "center",
"margin": "10px",
"font-weight": "lighter",
... | 19.821053 | 82 | 0.548593 | import dash_html_components as html
import dash_core_components as dcc
import dash_table as dt
import pandas as pd
heading_2 = html.Header(
html.H2(
"Classify Emails (Spam or Ham)",
style={
"text-align": "center",
"margin": "10px",
"font-weight": "lighter",
... | 0 | 0 | 0 |
f63e6de423ae23e53a526db48daf20e265d3c7e9 | 2,144 | py | Python | utils/visualization.py | bhpfelix/NDDR-CNN-PyTorch | 8c45f444093934831c83c5e2d592db962b300272 | [
"Apache-2.0"
] | 9 | 2020-04-03T02:44:33.000Z | 2021-12-21T01:53:39.000Z | utils/visualization.py | bhpfelix/NDDR-CNN-PyTorch | 8c45f444093934831c83c5e2d592db962b300272 | [
"Apache-2.0"
] | null | null | null | utils/visualization.py | bhpfelix/NDDR-CNN-PyTorch | 8c45f444093934831c83c5e2d592db962b300272 | [
"Apache-2.0"
] | 2 | 2020-05-22T11:58:01.000Z | 2020-08-06T08:02:43.000Z | from PIL import Image
import numpy as np
label_colours = [(178, 45, 45), (153, 115, 115), (64, 36, 32), (255, 68, 0), (89, 24, 0), (191, 121, 96), (191, 102, 0),
(76, 41, 0), (153, 115, 38), (102, 94, 77), (242, 194, 0), (191, 188, 143), (226, 242, 0),
(119, 128, 0), (59, 64, 0), (10... | 43.755102 | 120 | 0.527519 | from PIL import Image
import numpy as np
label_colours = [(178, 45, 45), (153, 115, 115), (64, 36, 32), (255, 68, 0), (89, 24, 0), (191, 121, 96), (191, 102, 0),
(76, 41, 0), (153, 115, 38), (102, 94, 77), (242, 194, 0), (191, 188, 143), (226, 242, 0),
(119, 128, 0), (59, 64, 0), (10... | 1,210 | 0 | 92 |
13e64fee553d5f2cf24434a7a7f137f544379377 | 209 | py | Python | UVa 12004 - Bubble Sort/sample/main1.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | 1 | 2020-11-24T03:17:21.000Z | 2020-11-24T03:17:21.000Z | UVa 12004 - Bubble Sort/sample/main1.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | null | null | null | UVa 12004 - Bubble Sort/sample/main1.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | 1 | 2021-04-11T16:22:31.000Z | 2021-04-11T16:22:31.000Z | import sys
from fractions import *
sys.stdin = open('input.txt')
numTest = int(input())
for itertest in range(numTest):
n = int(input())
print 'Case %d: %s' % (itertest + 1, Fraction(n * (n - 1), 4))
| 23.222222 | 66 | 0.617225 | import sys
from fractions import *
sys.stdin = open('input.txt')
numTest = int(input())
for itertest in range(numTest):
n = int(input())
print 'Case %d: %s' % (itertest + 1, Fraction(n * (n - 1), 4))
| 0 | 0 | 0 |
2caefcd75c993da7fc3a0bc51c96f9a90de0d590 | 2,016 | py | Python | regression-tests/sparktkregtests/testcases/scoretests/lda.py | lewisc/spark-tk | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | [
"ECL-2.0",
"Apache-2.0"
] | 34 | 2016-05-20T22:26:05.000Z | 2022-01-21T12:55:13.000Z | regression-tests/sparktkregtests/testcases/scoretests/lda.py | lewisc/spark-tk | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | [
"ECL-2.0",
"Apache-2.0"
] | 70 | 2016-06-28T01:11:21.000Z | 2021-03-15T21:40:01.000Z | regression-tests/sparktkregtests/testcases/scoretests/lda.py | lewisc/spark-tk | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | [
"ECL-2.0",
"Apache-2.0"
] | 34 | 2016-04-21T22:25:22.000Z | 2020-10-06T09:23:43.000Z | # vim: set encoding=utf-8
# Copyright (c) 2016 Intel Corporation
#
# 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 require... | 33.6 | 98 | 0.636905 | # vim: set encoding=utf-8
# Copyright (c) 2016 Intel Corporation
#
# 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 require... | 0 | 1,156 | 23 |
b5f007c5a5c0a8c23aaa14a8fbbe0f808b36e134 | 108 | py | Python | structlog_wrapper/apps.py | ankitkr/structlog-wrapper | bc085937656ef6aec5f485d95c9d761f4a3c0299 | [
"MIT"
] | null | null | null | structlog_wrapper/apps.py | ankitkr/structlog-wrapper | bc085937656ef6aec5f485d95c9d761f4a3c0299 | [
"MIT"
] | null | null | null | structlog_wrapper/apps.py | ankitkr/structlog-wrapper | bc085937656ef6aec5f485d95c9d761f4a3c0299 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 18 | 40 | 0.796296 | from django.apps import AppConfig
class StructLogWrapperConfig(AppConfig):
name = "structlog_wrapper"
| 0 | 50 | 23 |
e010a27a8bef3db333bf29794eb1567b3fd118cb | 978 | py | Python | src/models/downsamples/linear.py | takedarts/skipresnet | d6f1e16042f8433a287355009e17e4e5768ad319 | [
"MIT"
] | 3 | 2022-02-03T13:25:12.000Z | 2022-02-04T16:12:23.000Z | src/models/downsamples/linear.py | takedarts/skipresnet | d6f1e16042f8433a287355009e17e4e5768ad319 | [
"MIT"
] | null | null | null | src/models/downsamples/linear.py | takedarts/skipresnet | d6f1e16042f8433a287355009e17e4e5768ad319 | [
"MIT"
] | 1 | 2022-02-04T12:28:02.000Z | 2022-02-04T12:28:02.000Z | import collections
from typing import Callable
import torch.nn as nn
from ..modules import DropBlock
class LinearDownsample(nn.Sequential):
'''
Downsample class with linear mapping.
This is a default donwsample mudule for ResNets.
'''
| 26.432432 | 65 | 0.563395 | import collections
from typing import Callable
import torch.nn as nn
from ..modules import DropBlock
class LinearDownsample(nn.Sequential):
'''
Downsample class with linear mapping.
This is a default donwsample mudule for ResNets.
'''
def __init__(
self,
in_channels: int,
... | 696 | 0 | 27 |
55620ff3bb7d277fbbafa5914f90a695c8f4cae6 | 3,908 | py | Python | rmssl.py | rmayherr/python | 830aec82e3ab155b66d01032eac71bbe6f961fce | [
"MIT"
] | null | null | null | rmssl.py | rmayherr/python | 830aec82e3ab155b66d01032eac71bbe6f961fce | [
"MIT"
] | null | null | null | rmssl.py | rmayherr/python | 830aec82e3ab155b66d01032eac71bbe6f961fce | [
"MIT"
] | null | null | null | Cellname="???rk"
NodeName="???dea"
#Que... | 102.842105 | 106 | 0.141505 | Cellname="???rk"
NodeName="???dea"
def Query():
#a... | 2,337 | 0 | 613 |
08e0e943768cfcd3df2ba44b3fb53d2e9556f4bb | 13,881 | py | Python | article/src/scripts/Canaries/eval_without_and_with_output_transforms.py | yardencsGitHub/tweetynet | 281f8876726359a298a2c387c7b4c2e40ac61c91 | [
"BSD-3-Clause"
] | 28 | 2018-11-14T08:18:15.000Z | 2022-03-25T13:31:08.000Z | article/src/scripts/Canaries/eval_without_and_with_output_transforms.py | yardencsGitHub/tweetynet | 281f8876726359a298a2c387c7b4c2e40ac61c91 | [
"BSD-3-Clause"
] | 116 | 2018-11-06T02:53:18.000Z | 2022-03-23T20:57:37.000Z | article/src/scripts/Canaries/eval_without_and_with_output_transforms.py | yardencsGitHub/tweetynet | 281f8876726359a298a2c387c7b4c2e40ac61c91 | [
"BSD-3-Clause"
] | 6 | 2019-03-11T16:41:54.000Z | 2021-11-10T20:47:01.000Z | # This script is identical to the on for BFSongRepository but with canaries
from collections import defaultdict
import json
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
from tqdm import tqdm
import vak.device
import vak.files
from vak.labeled_timebins im... | 46.89527 | 116 | 0.568403 | # This script is identical to the on for BFSongRepository but with canaries
from collections import defaultdict
import json
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
from tqdm import tqdm
import vak.device
import vak.files
from vak.labeled_timebins im... | 1,058 | 0 | 23 |
de7ae50b15e9c0501c863d61efda3f3695764d08 | 560 | py | Python | instanotifier/feedsource/tests/test_forms.py | chaudbak/instanotifier | d29bc6bd9b7a003403886bfff1376b2c1925cc74 | [
"MIT"
] | null | null | null | instanotifier/feedsource/tests/test_forms.py | chaudbak/instanotifier | d29bc6bd9b7a003403886bfff1376b2c1925cc74 | [
"MIT"
] | 6 | 2020-06-06T01:27:17.000Z | 2022-02-10T11:20:17.000Z | instanotifier/feedsource/tests/test_forms.py | chaudbak/instanotifier | d29bc6bd9b7a003403886bfff1376b2c1925cc74 | [
"MIT"
] | null | null | null | import json
from test_plus.test import TestCase
from instanotifier.feedsource.models import FeedSource
from instanotifier.feedsource.forms import FeedSourceForm
| 25.454545 | 89 | 0.692857 | import json
from test_plus.test import TestCase
from instanotifier.feedsource.models import FeedSource
from instanotifier.feedsource.forms import FeedSourceForm
class TestFeedSource(TestCase):
def setUp(self):
pass
def test_validation(self):
feed_source_data = dict(
url="https:/... | 310 | 10 | 76 |
1fc4ddea08f856b07584e4f2608797c3be15a0d9 | 439 | py | Python | Python/REPL/test.py | kibetamos/Everything-Tech | 25edb8e3be35bda13faf258c18d5c6653b9e73a7 | [
"Apache-2.0"
] | null | null | null | Python/REPL/test.py | kibetamos/Everything-Tech | 25edb8e3be35bda13faf258c18d5c6653b9e73a7 | [
"Apache-2.0"
] | null | null | null | Python/REPL/test.py | kibetamos/Everything-Tech | 25edb8e3be35bda13faf258c18d5c6653b9e73a7 | [
"Apache-2.0"
] | null | null | null | import pytest
from temperature import celsius_to_fahrenheit | 39.909091 | 51 | 0.790433 | import pytest
from temperature import celsius_to_fahrenheit
def test_celsius_to_fahrenheit():
assert celsius_to_fahrenheit(21) == 69.8
def test_celsius_to_fahrenheit_equivalance_point():
assert celsius_to_fahrenheit(-40) == -40
def test_celsius_to_fahrenheit_float():
assert celsius_to_fahrenheit(21.2) == 70... | 292 | 0 | 88 |
502607423aa216fcab835f6de138bf34f5b7a3a2 | 666 | py | Python | UTFPR/Prova.while -2.py | MateusCohuzer/Algoritmos-UTFPR-M31-de-2020 | 2dde62311eaaebbc30ca48b24261e68c4cb65777 | [
"MIT"
] | null | null | null | UTFPR/Prova.while -2.py | MateusCohuzer/Algoritmos-UTFPR-M31-de-2020 | 2dde62311eaaebbc30ca48b24261e68c4cb65777 | [
"MIT"
] | null | null | null | UTFPR/Prova.while -2.py | MateusCohuzer/Algoritmos-UTFPR-M31-de-2020 | 2dde62311eaaebbc30ca48b24261e68c4cb65777 | [
"MIT"
] | null | null | null | txt = str('S')
desconto = int(0)
while txt == 'S':
valor = float(input('Insira o valor do carro (sem desconto): '))
ano = int(input('Insira o ano de fabricação do veículo: '))
if ano <= 2010:
desconto = float(valor * 0.2)
elif ano <= 2020:
desconto = float(valor * 0.15)
elif ano > 2... | 39.176471 | 97 | 0.591592 | txt = str('S')
desconto = int(0)
while txt == 'S':
valor = float(input('Insira o valor do carro (sem desconto): '))
ano = int(input('Insira o ano de fabricação do veículo: '))
if ano <= 2010:
desconto = float(valor * 0.2)
elif ano <= 2020:
desconto = float(valor * 0.15)
elif ano > 2... | 0 | 0 | 0 |
43872271e85ec59e40c6326c549a7f0d1fabccac | 1,108 | py | Python | DLtorch/dataset/base.py | A-LinCui/DLtorch | 27bfe18d9298fad99d6eda4508afa707e35b898f | [
"MIT"
] | 3 | 2020-08-28T15:43:48.000Z | 2020-08-29T11:34:42.000Z | DLtorch/dataset/base.py | zhaojb17/DLtorch | 27bfe18d9298fad99d6eda4508afa707e35b898f | [
"MIT"
] | null | null | null | DLtorch/dataset/base.py | zhaojb17/DLtorch | 27bfe18d9298fad99d6eda4508afa707e35b898f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import abc
import os
import torchvision.transforms as transforms
from DLtorch.base import BaseComponent
| 33.575758 | 147 | 0.668773 | # -*- coding: utf-8 -*-
import abc
import os
import torchvision.transforms as transforms
from DLtorch.base import BaseComponent
class BaseDataset(BaseComponent):
def __init__(self, path: str):
super(BaseDataset, self).__init__()
self.path = path
self.datasets = {}
self.logger.in... | 854 | 24 | 98 |
3b5df536910fdac79072a757f041676d0d7ac5cc | 1,028 | py | Python | mandelbrot/naive.py | kidmose/python-course-mini-project | d8ebcc2f5e79f84ce350f2eafbc6c6e572d71584 | [
"MIT"
] | null | null | null | mandelbrot/naive.py | kidmose/python-course-mini-project | d8ebcc2f5e79f84ce350f2eafbc6c6e572d71584 | [
"MIT"
] | null | null | null | mandelbrot/naive.py | kidmose/python-course-mini-project | d8ebcc2f5e79f84ce350f2eafbc6c6e572d71584 | [
"MIT"
] | null | null | null | from __future__ import division
"""Implementation of naive and inefficient mandelbrot calculator."""
import mandelbrot
import math
logger = mandelbrot.get_logger(__name__)
class NaiveCalculator(mandelbrot.MandelbrotCalculator):
"""See parrent."""
file_name_data = "naive_data.csv"
file_name_plot = "naive... | 27.052632 | 68 | 0.550584 | from __future__ import division
"""Implementation of naive and inefficient mandelbrot calculator."""
import mandelbrot
import math
logger = mandelbrot.get_logger(__name__)
class NaiveCalculator(mandelbrot.MandelbrotCalculator):
"""See parrent."""
file_name_data = "naive_data.csv"
file_name_plot = "naive... | 0 | 0 | 0 |
114113c2327e984853bcfe3d2bdb8fbe4a9538bc | 4,149 | py | Python | tests/test_lookups.py | gluk-w/python-tuple-lookup | b0c44bb8fb9c94925c97b54b02ffc8abeb570914 | [
"MIT"
] | null | null | null | tests/test_lookups.py | gluk-w/python-tuple-lookup | b0c44bb8fb9c94925c97b54b02ffc8abeb570914 | [
"MIT"
] | null | null | null | tests/test_lookups.py | gluk-w/python-tuple-lookup | b0c44bb8fb9c94925c97b54b02ffc8abeb570914 | [
"MIT"
] | null | null | null | import pytest
from listlookup import ListLookup
sample_list = [
{"id": 1, "country": "us", "name": "Atlanta"},
{"id": 2, "country": "us", "name": "Miami"},
{"id": 3, "country": "uk", "name": "Britain"},
{"id": 5, "country": "uk", "name": "Bermingham"},
{"id": 4, "country": "ca", "name": "Barrie"},... | 31.195489 | 114 | 0.614124 | import pytest
from listlookup import ListLookup
sample_list = [
{"id": 1, "country": "us", "name": "Atlanta"},
{"id": 2, "country": "us", "name": "Miami"},
{"id": 3, "country": "uk", "name": "Britain"},
{"id": 5, "country": "uk", "name": "Bermingham"},
{"id": 4, "country": "ca", "name": "Barrie"},... | 3,216 | 0 | 161 |
611db959982df706f77658f35604719e25cee6f4 | 533 | py | Python | uniclass_to_nf_ea_com_source/b_code/migrators/uniclass_raw_to_domain/evolve/evolve_stage_1/domain_tables_data_processor/top_level_items_table_remover.py | boro-alpha/uniclass_to_nf_ea_com | 753e97467ce53c25bc86341b915489c2eeeb3f49 | [
"MIT"
] | 2 | 2021-08-09T14:40:04.000Z | 2022-03-13T22:22:19.000Z | uniclass_to_nf_ea_com_source/b_code/migrators/uniclass_raw_to_domain/evolve/evolve_stage_1/domain_tables_data_processor/top_level_items_table_remover.py | boro-alpha/uniclass_to_nf_ea_com | 753e97467ce53c25bc86341b915489c2eeeb3f49 | [
"MIT"
] | null | null | null | uniclass_to_nf_ea_com_source/b_code/migrators/uniclass_raw_to_domain/evolve/evolve_stage_1/domain_tables_data_processor/top_level_items_table_remover.py | boro-alpha/uniclass_to_nf_ea_com | 753e97467ce53c25bc86341b915489c2eeeb3f49 | [
"MIT"
] | null | null | null | from uniclass_to_nf_ea_com_source.b_code.configurations.common_constants.uniclass_bclearer_constants import \
UNICLASS2015_TOP_LEVEL_OBJECTS_TABLE_NAME
| 35.533333 | 109 | 0.79925 | from uniclass_to_nf_ea_com_source.b_code.configurations.common_constants.uniclass_bclearer_constants import \
UNICLASS2015_TOP_LEVEL_OBJECTS_TABLE_NAME
def remove_top_level_items_table_from_dataframes_dictionary(
dataframe_dictionary: dict):
top_level_dataframe_dictionary = {}
for table, datafram... | 353 | 0 | 23 |
f0f3d2a9d3148588926e7346929e0dafccfb068f | 7,143 | py | Python | spectral_analysis/classifiers/neural_network/cnn.py | csepreghy/spectral_analysis | 1cbd9770347a71721164a7daf7b133ad0eeba8e4 | [
"MIT"
] | 5 | 2019-05-29T07:16:27.000Z | 2019-08-20T07:15:54.000Z | spectral_analysis/classifiers/neural_network/cnn.py | csepreghy/spectral-analysis | 1cbd9770347a71721164a7daf7b133ad0eeba8e4 | [
"MIT"
] | 19 | 2020-02-20T09:48:46.000Z | 2020-02-24T11:42:54.000Z | spectral_analysis/classifiers/neural_network/cnn.py | csepreghy/spectral_analysis | 1cbd9770347a71721164a7daf7b133ad0eeba8e4 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.optimizers import SGD, Adam
from tensorflow.keras.callbacks import History, EarlyStopping
from tensorflow.keras.layers import Dense, Dropout, Flatten, Conv... | 41.289017 | 111 | 0.576648 | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.optimizers import SGD, Adam
from tensorflow.keras.callbacks import History, EarlyStopping
from tensorflow.keras.layers import Dense, Dropout, Flatten, Conv... | 6,334 | -11 | 180 |
d2bc237a95b3258f1a7bede6065ddf5da53dcd8a | 413 | py | Python | tests/test_colmet_collector.py | oar-team/colmet-collector | b962a84574093adfd4a1c1877277b96119d5fe77 | [
"BSD-3-Clause"
] | null | null | null | tests/test_colmet_collector.py | oar-team/colmet-collector | b962a84574093adfd4a1c1877277b96119d5fe77 | [
"BSD-3-Clause"
] | null | null | null | tests/test_colmet_collector.py | oar-team/colmet-collector | b962a84574093adfd4a1c1877277b96119d5fe77 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_colmet_collector
----------------------------------
Tests for `colmet_collector` module.
"""
import unittest
from colmet_collector import colmet_collector
| 14.241379 | 45 | 0.615012 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_colmet_collector
----------------------------------
Tests for `colmet_collector` module.
"""
import unittest
from colmet_collector import colmet_collector
class TestColmetCollector(object):
@classmethod
def setup_class(cls):
pass
def te... | 46 | 128 | 23 |
3ae829e90b7c9ef052514f4aefcb4694ee18d845 | 26,355 | py | Python | bin/Python27/Lib/site-packages/omniORBpy-4.2.0/lib/python/omniORB/COS/CosNaming_idl.py | lefevre-fraser/openmeta-mms | 08f3115e76498df1f8d70641d71f5c52cab4ce5f | [
"MIT"
] | null | null | null | bin/Python27/Lib/site-packages/omniORBpy-4.2.0/lib/python/omniORB/COS/CosNaming_idl.py | lefevre-fraser/openmeta-mms | 08f3115e76498df1f8d70641d71f5c52cab4ce5f | [
"MIT"
] | null | null | null | bin/Python27/Lib/site-packages/omniORBpy-4.2.0/lib/python/omniORB/COS/CosNaming_idl.py | lefevre-fraser/openmeta-mms | 08f3115e76498df1f8d70641d71f5c52cab4ce5f | [
"MIT"
] | null | null | null | # Python stubs generated by omniidl from ..\..\..\..\..\idl\COS\CosNaming.idl
# DO NOT EDIT THIS FILE!
import omniORB, _omnipy
from omniORB import CORBA, PortableServer
_0_CORBA = CORBA
_omnipy.checkVersion(4,2, __file__, 1)
try:
property
except NameError:
#
# Start of module "CosNaming"
#
_... | 59.358108 | 576 | 0.782053 | # Python stubs generated by omniidl from ..\..\..\..\..\idl\COS\CosNaming.idl
# DO NOT EDIT THIS FILE!
import omniORB, _omnipy
from omniORB import CORBA, PortableServer
_0_CORBA = CORBA
_omnipy.checkVersion(4,2, __file__, 1)
try:
property
except NameError:
def property(*args):
return N... | 3,249 | 9,165 | 341 |
60d991e2a6a2caab3b549170e63eb1abc3587e40 | 41,359 | py | Python | source/objects/waveClass.py | THREDgroup/WEC-Sim-Python | c04ef42724cbf72419713970bf9ae63658a4d1b3 | [
"Apache-2.0"
] | 2 | 2020-12-15T08:42:05.000Z | 2021-09-14T08:28:17.000Z | tests/test_objects/test_waveclass/waveclass/__init__.py | THREDgroup/WEC-Sim-Python | c04ef42724cbf72419713970bf9ae63658a4d1b3 | [
"Apache-2.0"
] | 1 | 2020-09-14T03:08:46.000Z | 2020-10-19T05:47:42.000Z | tests/test_objects/test_waveclass/waveclass/__init__.py | THREDgroup/WEC-Sim-Python | c04ef42724cbf72419713970bf9ae63658a4d1b3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 3 07:52:07 2020
@author: SungJun Won
This code is written based on WEC-sim.
wonsungjun0000@gmail.com
Note: readData method is included to import data type of both .txt and .mat
Note: irregularWaveSpectrum method has been modified for the faster computation.
The or... | 52.686624 | 218 | 0.567615 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 3 07:52:07 2020
@author: SungJun Won
This code is written based on WEC-sim.
wonsungjun0000@gmail.com
Note: readData method is included to import data type of both .txt and .mat
Note: irregularWaveSpectrum method has been modified for the faster computation.
The or... | 0 | 39,873 | 23 |
05943b7cd700824a3706bc635056b541dae70aac | 632 | py | Python | day1.py | Arrain/Advent-of-Code-2020 | db41301ba39b6315a40704bc26b89e00a4bb4940 | [
"Unlicense"
] | null | null | null | day1.py | Arrain/Advent-of-Code-2020 | db41301ba39b6315a40704bc26b89e00a4bb4940 | [
"Unlicense"
] | null | null | null | day1.py | Arrain/Advent-of-Code-2020 | db41301ba39b6315a40704bc26b89e00a4bb4940 | [
"Unlicense"
] | null | null | null | """
AOC2020 - day1
"""
import sys;
FILEPATH = "./day1.txt";
with open(FILEPATH) as fp:
lines = fp.readlines();
EXISTING = [];
for line in lines:
val = int(line);
## part 1
# for i in EXISTING:
# if val + i == 2020:
# print(val * i);
... | 21.066667 | 49 | 0.419304 | """
AOC2020 - day1
"""
import sys;
FILEPATH = "./day1.txt";
with open(FILEPATH) as fp:
lines = fp.readlines();
EXISTING = [];
for line in lines:
val = int(line);
## part 1
# for i in EXISTING:
# if val + i == 2020:
# print(val * i);
... | 0 | 0 | 0 |
aae87473e511a2747dbfd45a8cb37ea418bc8165 | 2,878 | py | Python | eeyore/kernels/kernel.py | papamarkou/eeyore | 4cd9b5a619cd095035aa93f348d1c937629aa8a3 | [
"MIT"
] | 6 | 2020-04-22T18:56:46.000Z | 2021-09-09T15:57:48.000Z | eeyore/kernels/kernel.py | papamarkou/eeyore | 4cd9b5a619cd095035aa93f348d1c937629aa8a3 | [
"MIT"
] | 19 | 2019-11-14T21:22:21.000Z | 2020-10-31T16:18:36.000Z | eeyore/kernels/kernel.py | scidom/eeyore | 4cd9b5a619cd095035aa93f348d1c937629aa8a3 | [
"MIT"
] | null | null | null | import itertools
import torch
class Kernel:
""" Base class for kernels """
| 28.215686 | 100 | 0.539958 | import itertools
import torch
class Kernel:
""" Base class for kernels """
def k(self, x1, x2):
raise NotImplementedError
def check_input_dtype(self, x, dtype):
if not all(t == dtype for t in [element.dtype for element in x]):
raise ValueError
def check_inputs_dtype(self,... | 2,555 | 0 | 243 |
7cc0f26d7e7eb64f945903a377d48acf02309297 | 25,275 | py | Python | cirq-core/cirq/_compat.py | melonwater211/Cirq | e9ec70d3ed7e7e4dbc36418743faba170e488364 | [
"Apache-2.0"
] | null | null | null | cirq-core/cirq/_compat.py | melonwater211/Cirq | e9ec70d3ed7e7e4dbc36418743faba170e488364 | [
"Apache-2.0"
] | null | null | null | cirq-core/cirq/_compat.py | melonwater211/Cirq | e9ec70d3ed7e7e4dbc36418743faba170e488364 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 38.179758 | 105 | 0.63545 | # Copyright 2018 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 8,019 | 118 | 498 |
d3df745d68f0c8483badccb255fdb37c09a3cf9f | 10,777 | py | Python | slowfast/datasets/epickitchens.py | dylan-campbell/Motionformer | 6c860614a3b252c6163971ba20e61ea3184d5291 | [
"Apache-2.0"
] | 153 | 2021-06-10T14:00:22.000Z | 2022-03-31T04:12:54.000Z | slowfast/datasets/epickitchens.py | dylan-campbell/Motionformer | 6c860614a3b252c6163971ba20e61ea3184d5291 | [
"Apache-2.0"
] | 10 | 2021-06-30T04:48:50.000Z | 2022-03-11T15:51:05.000Z | slowfast/datasets/epickitchens.py | dylan-campbell/Motionformer | 6c860614a3b252c6163971ba20e61ea3184d5291 | [
"Apache-2.0"
] | 22 | 2021-06-11T13:10:05.000Z | 2022-03-28T03:42:39.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import numpy as np
import random
import os
import pandas as pd
import torch
import torch.utils.data
from torchvision import transforms
import slowfast.utils.logging as logging
from .build import DATASET_REGISTRY
from .epic... | 41.133588 | 131 | 0.593857 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import numpy as np
import random
import os
import pandas as pd
import torch
import torch.utils.data
from torchvision import transforms
import slowfast.utils.logging as logging
from .build import DATASET_REGISTRY
from .epic... | 926 | 9,233 | 22 |
c5fda76eda5749a6451e2494fedda422ecadeadf | 2,184 | py | Python | kingbird/tests/unit/objects/test_base.py | starlingx-staging/stx-kingbird | 9869ad4640e76384fa14f031a59134cd439929a8 | [
"Apache-2.0"
] | null | null | null | kingbird/tests/unit/objects/test_base.py | starlingx-staging/stx-kingbird | 9869ad4640e76384fa14f031a59134cd439929a8 | [
"Apache-2.0"
] | null | null | null | kingbird/tests/unit/objects/test_base.py | starlingx-staging/stx-kingbird | 9869ad4640e76384fa14f031a59134cd439929a8 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2015 Ericsson AB.
# 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 applicab... | 35.803279 | 75 | 0.668498 | # Copyright (c) 2015 Ericsson AB.
# 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 applicab... | 1,233 | 172 | 23 |
501c0365ef91bce64122ec705c531968f2d62a8a | 3,798 | py | Python | spine_json_lib/data/data_types/draworder.py | ivan-ah/spine-json-lib | 1ea8460127f005d57af56090d2a48e6039437306 | [
"MIT"
] | null | null | null | spine_json_lib/data/data_types/draworder.py | ivan-ah/spine-json-lib | 1ea8460127f005d57af56090d2a48e6039437306 | [
"MIT"
] | null | null | null | spine_json_lib/data/data_types/draworder.py | ivan-ah/spine-json-lib | 1ea8460127f005d57af56090d2a48e6039437306 | [
"MIT"
] | null | null | null | import copy
from collections import OrderedDict
from typing import List, Dict, Any
from spine_json_lib.data.data_types.base_type import SpineData
| 39.5625 | 88 | 0.660874 | import copy
from collections import OrderedDict
from typing import List, Dict, Any
from spine_json_lib.data.data_types.base_type import SpineData
class DrawOrderTimelineOffset(SpineData):
DEFAULT_VALUES: Dict[str, Any] = {"slot": "", "offset": 0}
SPINE_3_8_DEFAULT_VALUES: Dict[str, Any] = DEFAULT_VALUES
... | 2,185 | 1,418 | 46 |
41ef0551465c518220c7a9780b2ba081205812fd | 1,550 | py | Python | tests/test_config.py | BenjaminNMitchell/alias-cd | 253ec6714674eb00171f60e4219a57033734bc68 | [
"MIT"
] | null | null | null | tests/test_config.py | BenjaminNMitchell/alias-cd | 253ec6714674eb00171f60e4219a57033734bc68 | [
"MIT"
] | null | null | null | tests/test_config.py | BenjaminNMitchell/alias-cd | 253ec6714674eb00171f60e4219a57033734bc68 | [
"MIT"
] | null | null | null | """This module tests config.py."""
from typing import Dict
import pytest
from alias_cd import config
@pytest.fixture
def config_data() -> str:
"""Sample config data in yaml format."""
return """---
"~":
_alias: root
my_long_directory_1:
_alias: d1
my_sub_directory_1:
_alias: ... | 23.134328 | 81 | 0.604516 | """This module tests config.py."""
from typing import Dict
import pytest
from alias_cd import config
@pytest.fixture
def config_data() -> str:
"""Sample config data in yaml format."""
return """---
"~":
_alias: root
my_long_directory_1:
_alias: d1
my_sub_directory_1:
_alias: ... | 0 | 0 | 0 |
ac9f73c642523112474bd5926f7d7437d66a04f6 | 318 | py | Python | code/List/all_unique.py | jumploop/30-seconds-of-python | bfcc5a35d9bd0bba67e81de5715dba21e1ba43be | [
"CC0-1.0"
] | null | null | null | code/List/all_unique.py | jumploop/30-seconds-of-python | bfcc5a35d9bd0bba67e81de5715dba21e1ba43be | [
"CC0-1.0"
] | null | null | null | code/List/all_unique.py | jumploop/30-seconds-of-python | bfcc5a35d9bd0bba67e81de5715dba21e1ba43be | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
功能实现：检查列表中的所有值是否都是唯一的。
解读：
在给定的列表中使用set()来保持唯一的出现。
使用len()将唯一值的长度与原始列表进行比较。
"""
# Examples
x = [1, 2, 3, 4, 5, 6]
y = [1, 2, 2, 3, 4, 5]
print(all_unique(x))
print(all_unique(y))
# output:
# True
# False
| 12.72 | 36 | 0.610063 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
功能实现：检查列表中的所有值是否都是唯一的。
解读：
在给定的列表中使用set()来保持唯一的出现。
使用len()将唯一值的长度与原始列表进行比较。
"""
def all_unique(lst):
return len(lst) == len(set(lst))
# Examples
x = [1, 2, 3, 4, 5, 6]
y = [1, 2, 2, 3, 4, 5]
print(all_unique(x))
print(all_unique(y))
# output:
# True
# False
| 36 | 0 | 23 |
3a42abb5968dc7ddee6b6d6d527b50ae9dad8f7d | 92 | py | Python | output/models/ms_data/regex/specials_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/ms_data/regex/specials_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/ms_data/regex/specials_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.ms_data.regex.specials_xsd.specials import Doc
__all__ = [
"Doc",
]
| 15.333333 | 65 | 0.728261 | from output.models.ms_data.regex.specials_xsd.specials import Doc
__all__ = [
"Doc",
]
| 0 | 0 | 0 |
a9574398a0f9ac6f8bf6506334a684f1b1d58870 | 927 | py | Python | taiga/files/celery.py | tcpcloud/salt-formula-taiga | eb6fd3e438f830bb69adc24efe10ebd21e7d4e1e | [
"Apache-2.0"
] | 2 | 2017-08-21T23:29:20.000Z | 2018-02-28T12:06:09.000Z | taiga/files/celery.py | tcpcloud/salt-formula-taiga | eb6fd3e438f830bb69adc24efe10ebd21e7d4e1e | [
"Apache-2.0"
] | 2 | 2018-02-28T21:34:12.000Z | 2018-03-05T13:53:17.000Z | taiga/files/celery.py | tcpcloud/salt-formula-taiga | eb6fd3e438f830bb69adc24efe10ebd21e7d4e1e | [
"Apache-2.0"
] | 4 | 2017-05-29T08:52:57.000Z | 2020-06-30T23:52:48.000Z | {%- from "taiga/map.jinja" import server with context -%}
# -*- coding: utf-8 -*-
from kombu import Queue
broker_url = 'amqp{% if server.message_queue.get('ssl', False) %}s{% endif %}://{{ server.message_queue.user }}:{{ server.message_queue.password }}@{{ server.message_queue.host }}:{{ server.message_queue.get('por... | 34.333333 | 277 | 0.695793 | {%- from "taiga/map.jinja" import server with context -%}
# -*- coding: utf-8 -*-
from kombu import Queue
broker_url = 'amqp{% if server.message_queue.get('ssl', False) %}s{% endif %}://{{ server.message_queue.user }}:{{ server.message_queue.password }}@{{ server.message_queue.host }}:{{ server.message_queue.get('por... | 0 | 0 | 0 |
07957b053e02713a96c02e7f857f5413a35e652a | 5,776 | py | Python | The container /Robotic Arm/craves.ai-master/unreal/virtual_db/vdb.py | ReEn-Neom/ReEn.Neom-source-code- | 11ec834d5eac5a5a63c71f6b41107769dafc591c | [
"MIT"
] | null | null | null | The container /Robotic Arm/craves.ai-master/unreal/virtual_db/vdb.py | ReEn-Neom/ReEn.Neom-source-code- | 11ec834d5eac5a5a63c71f6b41107769dafc591c | [
"MIT"
] | null | null | null | The container /Robotic Arm/craves.ai-master/unreal/virtual_db/vdb.py | ReEn-Neom/ReEn.Neom-source-code- | 11ec834d5eac5a5a63c71f6b41107769dafc591c | [
"MIT"
] | null | null | null | import glob, os, json
import logging
import numpy as np
logger = logging.Logger("vdb")
def seg2bb(obj_mask):
''' Convert binary seg mask of object to bouding box, (x0, y0, x1, y1) format '''
y, x = np.where(obj_mask == True)
bb = [x.min(), x.max(), y.min(), y.max()]
return bb
def get_obj_mask(seg_im... | 40.391608 | 139 | 0.571676 | import glob, os, json
import logging
import numpy as np
logger = logging.Logger("vdb")
class Dataset:
def __init__(self, db_root_dir):
self.db_root_dir = db_root_dir
pass
def get_ids(self):
''' Get frame ids of this dataset '''
filenames = glob.glob(os.path.join(self.db_root_d... | 687 | 4,346 | 23 |
cb9495c8b2d34d527e8e56500e484dc76cd595ea | 15,092 | py | Python | sample_code/stockdatawork.py | yunfeiz/py_learnt | d4134d8e9f1caed2db2848f19474c15c1b36557e | [
"Apache-2.0"
] | null | null | null | sample_code/stockdatawork.py | yunfeiz/py_learnt | d4134d8e9f1caed2db2848f19474c15c1b36557e | [
"Apache-2.0"
] | null | null | null | sample_code/stockdatawork.py | yunfeiz/py_learnt | d4134d8e9f1caed2db2848f19474c15c1b36557e | [
"Apache-2.0"
] | null | null | null | import tushare as ts
import matplotlib.pyplot as plt
import matplotlib.finance as mpf
from matplotlib.pylab import date2num
import datetime
import time
import os
import pandas as pd
import sys
from multiprocessing.dummy import Pool as ThreadPool
stockBasicInfo=None
myG={}
workingStock=[]
blackList=["000033"]
lastTrad... | 27.291139 | 182 | 0.601378 | import tushare as ts
import matplotlib.pyplot as plt
import matplotlib.finance as mpf
from matplotlib.pylab import date2num
import datetime
import time
import os
import pandas as pd
import sys
from multiprocessing.dummy import Pool as ThreadPool
stockBasicInfo=None
myG={}
workingStock=[]
blackList=["000033"]
lastTrad... | 13,133 | 0 | 766 |
9000070b2550faa1d17f57c00a6b8e20ec634906 | 8,214 | py | Python | Source/cameras/cameras.py | Neseebits/SpaceGrantMachineVision | 451244e05354abd8c866b6560b105b62c404896e | [
"MIT"
] | 1 | 2022-02-09T05:16:10.000Z | 2022-02-09T05:16:10.000Z | Source/cameras/cameras.py | Neseebits/SpaceGrantMachineVision | 451244e05354abd8c866b6560b105b62c404896e | [
"MIT"
] | null | null | null | Source/cameras/cameras.py | Neseebits/SpaceGrantMachineVision | 451244e05354abd8c866b6560b105b62c404896e | [
"MIT"
] | null | null | null | # Built in python libs
import os
import time
# Additional libs
import numpy as np
import cv2
from numba import jit
# Custom imports
try:
from logger.logger import Logger
import utilities.exceptions
from cameras.CaptureManager import CaptureManager, createCaptureSourceData
from cameras.DisplayManager ... | 45.381215 | 145 | 0.72206 | # Built in python libs
import os
import time
# Additional libs
import numpy as np
import cv2
from numba import jit
# Custom imports
try:
from logger.logger import Logger
import utilities.exceptions
from cameras.CaptureManager import CaptureManager, createCaptureSourceData
from cameras.DisplayManager ... | 2,990 | 0 | 176 |
b036ee264b290d8dd805f85d1df215108041b1b3 | 520 | py | Python | src/retrowrapper.py | CrazyBene/EvolutionaryStrategy | 09f63ad64a5ef0c542c6c1a7c1b60c55a64a69f6 | [
"MIT"
] | 10 | 2019-03-11T07:46:50.000Z | 2021-05-18T10:10:12.000Z | src/retrowrapper.py | CrazyBene/EvolutionaryStrategy | 09f63ad64a5ef0c542c6c1a7c1b60c55a64a69f6 | [
"MIT"
] | null | null | null | src/retrowrapper.py | CrazyBene/EvolutionaryStrategy | 09f63ad64a5ef0c542c6c1a7c1b60c55a64a69f6 | [
"MIT"
] | 2 | 2020-04-04T16:37:32.000Z | 2021-05-16T09:34:24.000Z | import retro | 22.608696 | 55 | 0.584615 | import retro
class RetroWrapper:
def __init__(self, game, state):
self.env = retro.make(game, state)
def reset(self):
obs = self.env.reset()
return obs
def step(self, action):
obs, reward, done, info = self.env.step(action)
sumReward = reward
obs, reward, ... | 352 | -2 | 158 |
36b455555d1c07279dee83299eb1c998003e175e | 5,453 | py | Python | tests/src/Diksha_Reports/usage_by_textbook/check_course_type_content_play_counts.py | JalajaTR/cQube | 6bf58ab25f0c36709630987ab730bbd5d9192c03 | [
"MIT"
] | null | null | null | tests/src/Diksha_Reports/usage_by_textbook/check_course_type_content_play_counts.py | JalajaTR/cQube | 6bf58ab25f0c36709630987ab730bbd5d9192c03 | [
"MIT"
] | null | null | null | tests/src/Diksha_Reports/usage_by_textbook/check_course_type_content_play_counts.py | JalajaTR/cQube | 6bf58ab25f0c36709630987ab730bbd5d9192c03 | [
"MIT"
] | null | null | null | import csv
import os
import re
import time
from selenium.webdriver.support.select import Select
from Data.parameters import Data
from filenames import file_extention
from get_dir import pwd
from reuse_func import GetData
| 44.696721 | 122 | 0.578764 | import csv
import os
import re
import time
from selenium.webdriver.support.select import Select
from Data.parameters import Data
from filenames import file_extention
from get_dir import pwd
from reuse_func import GetData
class test_course_based_on_timeperiods():
def __init__(self,driver):
self.driver = ... | 5,079 | 20 | 130 |
10bef9b5a34167ab75d179d166d27707e36a3c8a | 435 | py | Python | desafios/desafio 033a.py | juaoantonio/curso_video_python | 7520223d8647929530a1cd96f7c7d8c8f264ba1e | [
"MIT"
] | null | null | null | desafios/desafio 033a.py | juaoantonio/curso_video_python | 7520223d8647929530a1cd96f7c7d8c8f264ba1e | [
"MIT"
] | null | null | null | desafios/desafio 033a.py | juaoantonio/curso_video_python | 7520223d8647929530a1cd96f7c7d8c8f264ba1e | [
"MIT"
] | null | null | null | num1 = float(input('Digite o primeiro número: '))
num2 = float(input('Digite o segundo: '))
num3 = float(input('Digite o terceiro: '))
# Para descobrir qual o maior:
maior = num1
if num2 > maior:
maior = num2
if num3 > maior:
maior = num3
print(f'O maior número é {maior}')
# Para descobrir qual o menor:
meno... | 19.772727 | 49 | 0.655172 | num1 = float(input('Digite o primeiro número: '))
num2 = float(input('Digite o segundo: '))
num3 = float(input('Digite o terceiro: '))
# Para descobrir qual o maior:
maior = num1
if num2 > maior:
maior = num2
if num3 > maior:
maior = num3
print(f'O maior número é {maior}')
# Para descobrir qual o menor:
meno... | 0 | 0 | 0 |
1d2e3d2efff8dbcfc5dbf7a2395c42c519c52312 | 1,487 | py | Python | 7/Lab7.py | aravindsuresh98/ML_LAB | 2dbd8075a2119c02ce31de4325763058e41b592c | [
"MIT"
] | 3 | 2018-12-26T18:03:56.000Z | 2019-08-28T09:09:02.000Z | 7/Lab7.py | aravindsuresh98/ML_LAB | 2dbd8075a2119c02ce31de4325763058e41b592c | [
"MIT"
] | null | null | null | 7/Lab7.py | aravindsuresh98/ML_LAB | 2dbd8075a2119c02ce31de4325763058e41b592c | [
"MIT"
] | 2 | 2018-12-09T17:40:12.000Z | 2019-10-01T04:08:10.000Z | """
Write a program to construct aBayesian network considering medical data. Use this model to demonstrate the diagnosis of heart patients using standard Heart Disease Data Set. You can use Java/Python ML library classes/API.
"""
import numpy as np
import pandas as pd
import csv
from pgmpy.estimators import Maximu... | 33.795455 | 222 | 0.752522 | """
Write a program to construct aBayesian network considering medical data. Use this model to demonstrate the diagnosis of heart patients using standard Heart Disease Data Set. You can use Java/Python ML library classes/API.
"""
import numpy as np
import pandas as pd
import csv
from pgmpy.estimators import Maximu... | 0 | 0 | 0 |
3d200ae33250c404db7e4e3699ca0722880f653b | 2,310 | py | Python | opencv.py | Kratos-is-here/Sign-Language-Recognition-CNNs | 4b7f4d726d111b80ca299c4ee0d6cb0cc9fe7a45 | [
"MIT"
] | 26 | 2020-07-22T09:55:51.000Z | 2022-03-31T14:36:10.000Z | opencv.py | Kratos-is-here/Sign-Language-Recognition-CNNs | 4b7f4d726d111b80ca299c4ee0d6cb0cc9fe7a45 | [
"MIT"
] | 1 | 2019-03-04T13:00:56.000Z | 2019-03-09T14:17:50.000Z | opencv.py | Kratos-is-here/Sign-Language-Recognition-CNNs | 4b7f4d726d111b80ca299c4ee0d6cb0cc9fe7a45 | [
"MIT"
] | 23 | 2019-03-17T21:00:19.000Z | 2020-05-18T07:04:34.000Z | import cv2
import numpy as np
from keras.models import load_model
from skimage.transform import resize, pyramid_reduce
model = load_model('model.h5')
while True:
cam_capture = cv2.VideoCapture(0)
_, image_frame = cam_capture.read()
# Select ROI
im2 = crop_image(image_frame, 300,300,300,300)
... | 25.955056 | 106 | 0.662338 | import cv2
import numpy as np
from keras.models import load_model
from skimage.transform import resize, pyramid_reduce
model = load_model('model.h5')
def get_square(image, square_size):
height, width = image.shape
if(height > width):
differ = height
else:
differ = width
differ += ... | 1,063 | 0 | 92 |
fbad7ab50f7c085f8d3fdacc6e39664949cd6fcb | 2,116 | py | Python | portfolio/Python/scrapy/naturebest/simplysupplements.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/naturebest/simplysupplements.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/naturebest/simplysupplements.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | 5 | 2016-03-22T07:40:46.000Z | 2021-05-30T16:12:21.000Z | import re
import os
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse
from scrapy.utils.response import get_base_url
from scrapy.utils.url import urljoin_rfc
from urllib import urlencode
import hashlib
import csv
from product_spiders.item... | 36.482759 | 80 | 0.634216 | import re
import os
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse
from scrapy.utils.response import get_base_url
from scrapy.utils.url import urljoin_rfc
from urllib import urlencode
import hashlib
import csv
from product_spiders.item... | 1,350 | 258 | 23 |
d937604fb4e91713fdba8f2d3d4c28da67b01bd2 | 18,801 | py | Python | playshop.py | Aurangazeeb/ai_gambler | ce4282bba76b1c6de37ad6521be89215c6ca3a5e | [
"MIT"
] | null | null | null | playshop.py | Aurangazeeb/ai_gambler | ce4282bba76b1c6de37ad6521be89215c6ca3a5e | [
"MIT"
] | null | null | null | playshop.py | Aurangazeeb/ai_gambler | ce4282bba76b1c6de37ad6521be89215c6ca3a5e | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.models import Sequential
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions
f... | 41.050218 | 125 | 0.591139 | import tensorflow as tf
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.models import Sequential
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions
f... | 13,699 | 4,256 | 23 |
3766756ce033a36b9287ee8b5c6f0003b06a8c12 | 170 | py | Python | matchzoo/utils/__init__.py | MDoid10111/EMNLP2020 | 97e4da06abc72873a4830cfa53c035a27eb3975b | [
"MIT"
] | 42 | 2020-10-13T19:47:37.000Z | 2022-03-26T09:56:46.000Z | matchzoo/utils/__init__.py | MDoid10111/EMNLP2020 | 97e4da06abc72873a4830cfa53c035a27eb3975b | [
"MIT"
] | 3 | 2020-01-29T16:37:50.000Z | 2022-02-04T12:01:51.000Z | matchzoo/utils/__init__.py | MDoid10111/EMNLP2020 | 97e4da06abc72873a4830cfa53c035a27eb3975b | [
"MIT"
] | 5 | 2020-11-30T14:48:44.000Z | 2022-02-19T17:18:21.000Z | from .one_hot import one_hot
from .get_file import get_file
from .tensor_type import TensorType
from .list_recursive_subclasses import list_recursive_concrete_subclasses
| 34 | 73 | 0.882353 | from .one_hot import one_hot
from .get_file import get_file
from .tensor_type import TensorType
from .list_recursive_subclasses import list_recursive_concrete_subclasses
| 0 | 0 | 0 |
ff2925af782214b7663348906512006641492f76 | 4,663 | py | Python | players/GnuPlayer.py | tatemunnich/Backgammon | 7a8ff4b80b419415230c89bb0af94304f095ae76 | [
"MIT"
] | null | null | null | players/GnuPlayer.py | tatemunnich/Backgammon | 7a8ff4b80b419415230c89bb0af94304f095ae76 | [
"MIT"
] | null | null | null | players/GnuPlayer.py | tatemunnich/Backgammon | 7a8ff4b80b419415230c89bb0af94304f095ae76 | [
"MIT"
] | null | null | null | import re
from subprocess import Popen, PIPE
from board.Board import BLACK, NONE, getOtherColor, getPieceSymbol, WHITE, getDirection, Board
from move.Move import MoveNode
from move.MovementFactory import generate_moves
from players.Player import Player
| 34.036496 | 127 | 0.611195 | import re
from subprocess import Popen, PIPE
from board.Board import BLACK, NONE, getOtherColor, getPieceSymbol, WHITE, getDirection, Board
from move.Move import MoveNode
from move.MovementFactory import generate_moves
from players.Player import Player
class GnuPlayer(Player):
def __init__(self, color):
s... | 4,255 | 3 | 149 |
0c16d56ca458115c2cc33d34e677bdd46dc3ff7f | 638 | py | Python | codeforces_api.py | belkka/codeforces-command-line-tool | 7882159cd5b7719ad747d3fa3bb5747899a93356 | [
"MIT"
] | null | null | null | codeforces_api.py | belkka/codeforces-command-line-tool | 7882159cd5b7719ad747d3fa3bb5747899a93356 | [
"MIT"
] | null | null | null | codeforces_api.py | belkka/codeforces-command-line-tool | 7882159cd5b7719ad747d3fa3bb5747899a93356 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
BASE_URL = 'http://codeforces.com/api/'
contest_standings = method('contest.standings')
user_info = method('user.info')
| 23.62963 | 73 | 0.601881 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
BASE_URL = 'http://codeforces.com/api/'
def method(name):
def cf_api_method(**kwargs):
headers = { 'Accept-Language': 'ru,en;q=0.9' }
r = requests.get(BASE_URL + name, params=kwargs, headers=headers)
r.raise_for_status()
... | 427 | 0 | 23 |
aed730d21c0dbd6241b25e15d565858ffbdcb8b8 | 8,238 | py | Python | ModularER_2D/Encodings/Network_Encoding.py | FrankVeenstra/gym_rem2D | ea295e6398054c023c88df88d9c70f5486061207 | [
"MIT"
] | 27 | 2020-07-15T10:43:02.000Z | 2021-04-15T15:01:12.000Z | ModularER_2D/Encodings/Network_Encoding.py | FrankVeenstra/gym_rem2D | ea295e6398054c023c88df88d9c70f5486061207 | [
"MIT"
] | 3 | 2021-06-08T22:44:19.000Z | 2021-09-15T08:50:44.000Z | ModularER_2D/Encodings/Network_Encoding.py | FrankVeenstra/gym_rem2D | ea295e6398054c023c88df88d9c70f5486061207 | [
"MIT"
] | 6 | 2020-07-22T01:25:49.000Z | 2021-09-21T12:07:31.000Z | """
This encoding is an interface between neural networks and the robot blueprint
It is used to create a 'tree' structure that is interpreted as a robot.
"""
import numpy as np
import copy
import random
from Encodings import abstract_encoding as enc
import Tree as tree_structure
from NeuralNetwork import NEAT_NN
fro... | 36.776786 | 155 | 0.721413 | """
This encoding is an interface between neural networks and the robot blueprint
It is used to create a 'tree' structure that is interpreted as a robot.
"""
import numpy as np
import copy
import random
from Encodings import abstract_encoding as enc
import Tree as tree_structure
from NeuralNetwork import NEAT_NN
fro... | 5,497 | 16 | 187 |
c5b3b4160db42472260a053d6fa5098fe5dd5e7d | 2,029 | py | Python | sparrow_cloud/message_service/sender.py | ArcturusMensk/sparrow_cloud | 0ae75716de23b97366c2e2ac6c08e9850291c95d | [
"MIT"
] | null | null | null | sparrow_cloud/message_service/sender.py | ArcturusMensk/sparrow_cloud | 0ae75716de23b97366c2e2ac6c08e9850291c95d | [
"MIT"
] | null | null | null | sparrow_cloud/message_service/sender.py | ArcturusMensk/sparrow_cloud | 0ae75716de23b97366c2e2ac6c08e9850291c95d | [
"MIT"
] | null | null | null | from django.conf import settings
from .sender_controller import TaskSender
from sparrow_cloud.registry.service_discovery import consul_service
from sparrow_cloud.restclient.exception import HTTPException
from functools import lru_cache
import time
#
# @lru_cache(maxsize=None)
# def get_tasks_sender_object(message_back... | 32.206349 | 83 | 0.622474 | from django.conf import settings
from .sender_controller import TaskSender
from sparrow_cloud.registry.service_discovery import consul_service
from sparrow_cloud.restclient.exception import HTTPException
from functools import lru_cache
import time
#
# @lru_cache(maxsize=None)
# def get_tasks_sender_object(message_back... | 0 | 0 | 0 |
71a12dda1e6b4be8bc190b978385d5bf130b11eb | 32,955 | py | Python | pyloxi/loxi/of14/port_desc_prop.py | floodlight/loxigen-artifacts | 1822ec984cb6da342bbaa381677071cbbe53cee6 | [
"Apache-2.0"
] | 1 | 2017-06-01T09:41:07.000Z | 2017-06-01T09:41:07.000Z | pyloxi/loxi/of14/port_desc_prop.py | floodlight/loxigen-artifacts | 1822ec984cb6da342bbaa381677071cbbe53cee6 | [
"Apache-2.0"
] | 2 | 2017-07-03T08:50:56.000Z | 2018-03-12T16:16:19.000Z | pyloxi/loxi/of14/port_desc_prop.py | floodlight/loxigen-artifacts | 1822ec984cb6da342bbaa381677071cbbe53cee6 | [
"Apache-2.0"
] | 20 | 2015-02-16T15:23:04.000Z | 2022-03-15T20:06:10.000Z | # Copyright (c) 2008 The Board of Trustees of The Leland Stanford Junior University
# Copyright (c) 2011, 2012 Open Networking Foundation
# Copyright (c) 2012, 2013 Big Switch Networks, Inc.
# See the file LICENSE.pyloxi which should have been included in the source distribution
# Automatically generated by LOXI from ... | 33.593272 | 213 | 0.557123 | # Copyright (c) 2008 The Board of Trustees of The Leland Stanford Junior University
# Copyright (c) 2011, 2012 Open Networking Foundation
# Copyright (c) 2012, 2013 Big Switch Networks, Inc.
# See the file LICENSE.pyloxi which should have been included in the source distribution
# Automatically generated by LOXI from ... | 28,680 | 2,972 | 322 |
56fa38dc8515c579b448dbab443928f46c9f1b58 | 1,861 | py | Python | classes/Controller/Controller.py | danielmoore-info/IpCleaner | 9caee1a6b12bb0ea2b2db78a4a04fdb3fcea4791 | [
"Unlicense"
] | null | null | null | classes/Controller/Controller.py | danielmoore-info/IpCleaner | 9caee1a6b12bb0ea2b2db78a4a04fdb3fcea4791 | [
"Unlicense"
] | null | null | null | classes/Controller/Controller.py | danielmoore-info/IpCleaner | 9caee1a6b12bb0ea2b2db78a4a04fdb3fcea4791 | [
"Unlicense"
] | null | null | null | from classes.IP.IPGrepr import IPGrepr
from classes.IP.utils import handle_mask_or_no_mask
| 29.539683 | 63 | 0.48576 | from classes.IP.IPGrepr import IPGrepr
from classes.IP.utils import handle_mask_or_no_mask
class Controller():
def __init__(self, arguments, output):
self.args = arguments
self.output = output
self.banner()
if self.args.input:
input_file_name=self.args.input
... | 1,696 | -2 | 76 |
975822ef99828677846ed604310f8a03f9902b3c | 11,061 | py | Python | appearance_optimization/train_sim_corners.py | hietalajulius/clothmanip | ec2ee1177d5cf31ee2367c2576c34b9cf3691501 | [
"MIT"
] | null | null | null | appearance_optimization/train_sim_corners.py | hietalajulius/clothmanip | ec2ee1177d5cf31ee2367c2576c34b9cf3691501 | [
"MIT"
] | null | null | null | appearance_optimization/train_sim_corners.py | hietalajulius/clothmanip | ec2ee1177d5cf31ee2367c2576c34b9cf3691501 | [
"MIT"
] | null | null | null | from rlkit.torch.sac.policies import ScriptPolicy
import argparse
import json
import torch
from torch.utils.data import Dataset, DataLoader
import os
import pandas as pd
import numpy as np
from collections import deque
import cv2
import albumentations as A
import copy
from clothmanip.envs.template_renderer import Templ... | 40.076087 | 144 | 0.596962 | from rlkit.torch.sac.policies import ScriptPolicy
import argparse
import json
import torch
from torch.utils.data import Dataset, DataLoader
import os
import pandas as pd
import numpy as np
from collections import deque
import cv2
import albumentations as A
import copy
from clothmanip.envs.template_renderer import Templ... | 10,065 | 16 | 252 |
77fec9c48291d0fcce36ad25599e588513744ea2 | 578 | py | Python | python/code_advent/year_2015/day_04.py | fdm1/advent_of_code | a1e91d847fd8fd9f6b2f48333203729b9d64fd80 | [
"MIT"
] | null | null | null | python/code_advent/year_2015/day_04.py | fdm1/advent_of_code | a1e91d847fd8fd9f6b2f48333203729b9d64fd80 | [
"MIT"
] | null | null | null | python/code_advent/year_2015/day_04.py | fdm1/advent_of_code | a1e91d847fd8fd9f6b2f48333203729b9d64fd80 | [
"MIT"
] | 1 | 2018-12-02T20:30:23.000Z | 2018-12-02T20:30:23.000Z | """ http://adventofcode.com/2015/day/4 """
from hashlib import md5
# pylint: disable=inconsistent-return-statements
def validate_hash(input_str, num_zeros):
"""Check if hex md5 starts with '00000'"""
if md5(input_str.encode('utf-8')).hexdigest().startswith('0'*num_zeros):
return input_str
def find_m... | 30.421053 | 76 | 0.679931 | """ http://adventofcode.com/2015/day/4 """
from hashlib import md5
# pylint: disable=inconsistent-return-statements
def validate_hash(input_str, num_zeros):
"""Check if hex md5 starts with '00000'"""
if md5(input_str.encode('utf-8')).hexdigest().startswith('0'*num_zeros):
return input_str
def find_m... | 0 | 0 | 0 |
9973662f2cb4fd8887a75d26b419199453b1321b | 4,497 | py | Python | MT.py | makar-pelogeiko/prime_numbers | 2e3b42d792f47dd3c61b5aca6be885942b305714 | [
"Apache-2.0"
] | null | null | null | MT.py | makar-pelogeiko/prime_numbers | 2e3b42d792f47dd3c61b5aca6be885942b305714 | [
"Apache-2.0"
] | null | null | null | MT.py | makar-pelogeiko/prime_numbers | 2e3b42d792f47dd3c61b5aca6be885942b305714 | [
"Apache-2.0"
] | null | null | null | from DoubleLinkedList import DLinkedList as dList
class Mt:
"""
:raise Exception("BAD DELTA ELEMENT")
"""
@classmethod
def from_text(cls, text: str):
"""
:raise Exception("BAD DELTA ELEMENT")
"""
obj = cls()
lines = text.splitlines()
flag = 'alphabe... | 28.826923 | 95 | 0.479653 | from DoubleLinkedList import DLinkedList as dList
class Mt:
"""
:raise Exception("BAD DELTA ELEMENT")
"""
def __init__(self):
self.alphabet = set()
self.alphabet_spec = set()
self.memory_step = {'>', '<', '.'}
self.states = set()
self.start_state = None
... | 2,364 | 0 | 107 |
2748d48d24b53792d2e6016abf84bed1b3c6d82c | 7,227 | py | Python | scores/database.py | zesk06/scores | b1142d9630fcf6b5a969847ff4ef6856e08652ce | [
"MIT"
] | null | null | null | scores/database.py | zesk06/scores | b1142d9630fcf6b5a969847ff4ef6856e08652ce | [
"MIT"
] | null | null | null | scores/database.py | zesk06/scores | b1142d9630fcf6b5a969847ff4ef6856e08652ce | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
The database connection management
"""
from __future__ import print_function
import datetime
import json
import logging
import os
import re
import subprocess
import tempfile
from mongokit import Connection
from .common import hash_password
from .play import Play, PlayMigr... | 33.613953 | 78 | 0.582399 | #!/usr/bin/env python
# encoding: utf-8
"""
The database connection management
"""
from __future__ import print_function
import datetime
import json
import logging
import os
import re
import subprocess
import tempfile
from mongokit import Connection
from .common import hash_password
from .play import Play, PlayMigr... | 0 | 0 | 0 |
e9102a8268a2e5e84716a2aec2f62999bc435176 | 3,311 | py | Python | Engine.py | code-geek/pybaghchal | 7f260c318ebbb9181dd1bff0ae4c469dd2a07457 | [
"MIT"
] | 4 | 2018-09-25T00:18:40.000Z | 2020-12-22T14:44:10.000Z | Engine.py | Suraj1127/pybaghchal | 9a611e0c91264d8b2a1797e40fc6109fd1957b75 | [
"MIT"
] | 3 | 2018-09-23T10:42:43.000Z | 2018-09-26T02:55:03.000Z | Engine.py | Suraj1127/pybaghchal | 9a611e0c91264d8b2a1797e40fc6109fd1957b75 | [
"MIT"
] | 3 | 2018-08-25T09:32:11.000Z | 2020-12-26T11:06:42.000Z | from Board import Board
class Engine(object):
"""
Takes a board position and returns the best move
"""
INF = 1000000
def evaluate(self, depth=0):
"""
Returns a numeric evaluation of the position
Written from the perspective of Tiger
"""
winner = self.board... | 28.791304 | 82 | 0.530051 | from Board import Board
class Engine(object):
"""
Takes a board position and returns the best move
"""
INF = 1000000
def __init__(self, board, depth=5):
super(Engine, self).__init__()
self.board = board
self.depth = depth
self.best_move = None
def evaluate(se... | 2,511 | 0 | 162 |
15ed83d04674561587a56bf1fdc574c07867e3de | 1,481 | py | Python | catkin_ws/src:/opt/ros/kinetic/lib/python2.7/dist-packages:/home/bala/duckietown/catkin_ws/src:/home/bala/duckietown/catkin_ws/src/lib/python2.7/site-packages/geometry/manifolds/euclidean.py | johnson880319/Software | 045894227f359e0a3a3ec5b7a53f8d1ebc06acdd | [
"CC-BY-2.0"
] | null | null | null | catkin_ws/src:/opt/ros/kinetic/lib/python2.7/dist-packages:/home/bala/duckietown/catkin_ws/src:/home/bala/duckietown/catkin_ws/src/lib/python2.7/site-packages/geometry/manifolds/euclidean.py | johnson880319/Software | 045894227f359e0a3a3ec5b7a53f8d1ebc06acdd | [
"CC-BY-2.0"
] | null | null | null | catkin_ws/src:/opt/ros/kinetic/lib/python2.7/dist-packages:/home/bala/duckietown/catkin_ws/src:/home/bala/duckietown/catkin_ws/src/lib/python2.7/site-packages/geometry/manifolds/euclidean.py | johnson880319/Software | 045894227f359e0a3a3ec5b7a53f8d1ebc06acdd | [
"CC-BY-2.0"
] | null | null | null | # coding=utf-8
from contracts import contract
from geometry.utils import assert_allclose
import numpy as np
from .matrix_linear_space import MatrixLinearSpace
__all__ = ['Euclidean', 'R', 'R1', 'R2', 'R3']
class Euclidean(MatrixLinearSpace):
'''
This is the usual Euclidean space of finite dimension;
... | 25.534483 | 68 | 0.636057 | # coding=utf-8
from contracts import contract
from geometry.utils import assert_allclose
import numpy as np
from .matrix_linear_space import MatrixLinearSpace
__all__ = ['Euclidean', 'R', 'R1', 'R2', 'R3']
class Euclidean(MatrixLinearSpace):
'''
This is the usual Euclidean space of finite dimension;
... | 583 | 0 | 214 |
e6b656f7e2f5daf8de206906f2a56c825acac06a | 967 | py | Python | foodshering/mainapp/urls.py | malfin/silvehanger | c71a936a0c59c5a6fb909861cf2197b72782642d | [
"Apache-2.0"
] | null | null | null | foodshering/mainapp/urls.py | malfin/silvehanger | c71a936a0c59c5a6fb909861cf2197b72782642d | [
"Apache-2.0"
] | null | null | null | foodshering/mainapp/urls.py | malfin/silvehanger | c71a936a0c59c5a6fb909861cf2197b72782642d | [
"Apache-2.0"
] | null | null | null | from django.urls import path
import mainapp.views as mainapp
app_name = 'mainapp'
urlpatterns = [
path('', mainapp.index, name='index'),
path('cabinet/', mainapp.cabinet, name='cabinet'),
path('cabinet/profile/', mainapp.profile, name='profile'),
path('cabinet/profile/edit/', mainapp.edit_profile, ... | 37.192308 | 99 | 0.706308 | from django.urls import path
import mainapp.views as mainapp
app_name = 'mainapp'
urlpatterns = [
path('', mainapp.index, name='index'),
path('cabinet/', mainapp.cabinet, name='cabinet'),
path('cabinet/profile/', mainapp.profile, name='profile'),
path('cabinet/profile/edit/', mainapp.edit_profile, ... | 0 | 0 | 0 |
893cab2c61ac550985eb0e17a32ce132b5022cd3 | 3,401 | py | Python | code/blackjack_doc.py | garyjames/building-skills-oo-design-book | e4deecfbef871983e9993ad4128ef1112ac0954a | [
"MIT"
] | 32 | 2019-11-02T20:05:47.000Z | 2022-03-24T21:34:56.000Z | code/blackjack_doc.py | garyjames/building-skills-oo-design-book | e4deecfbef871983e9993ad4128ef1112ac0954a | [
"MIT"
] | 5 | 2019-11-01T23:01:41.000Z | 2021-12-10T13:16:17.000Z | code/blackjack_doc.py | garyjames/building-skills-oo-design-book | e4deecfbef871983e9993ad4128ef1112ac0954a | [
"MIT"
] | 12 | 2019-11-05T04:04:30.000Z | 2021-12-10T12:59:22.000Z | #!/usr/bin/env python3
"""
Building Skills in Object-Oriented Design V4
The blackjack module includes the Suit class and Card class hierarchy.
:author: S. Lott
:license: http://creativecommons.org/licenses/by-nc-nd/3.0/us/
"""
from typing import Any
import enum
class Suit(enum.Enum):
"""Enumerated suit names an... | 26.364341 | 83 | 0.580712 | #!/usr/bin/env python3
"""
Building Skills in Object-Oriented Design V4
The blackjack module includes the Suit class and Card class hierarchy.
:author: S. Lott
:license: http://creativecommons.org/licenses/by-nc-nd/3.0/us/
"""
from typing import Any
import enum
class Suit(enum.Enum):
"""Enumerated suit names an... | 164 | 0 | 81 |
431ed5c4f7cfe1dec9f3003f9bf4c54d46e15e68 | 14,347 | py | Python | kerrlib.py | XanaduAI/kerr-squeezing | 633db9d39f0943d8a8b7431c8d87a9d1147ba32d | [
"Apache-2.0"
] | 1 | 2021-01-13T02:02:43.000Z | 2021-01-13T02:02:43.000Z | kerrlib.py | XanaduAI/kerr-squeezing | 633db9d39f0943d8a8b7431c8d87a9d1147ba32d | [
"Apache-2.0"
] | null | null | null | kerrlib.py | XanaduAI/kerr-squeezing | 633db9d39f0943d8a8b7431c8d87a9d1147ba32d | [
"Apache-2.0"
] | 5 | 2020-02-27T00:58:05.000Z | 2022-02-10T15:10:19.000Z | # Copyright 2019 Xanadu Quantum Technologies Inc.
# 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 agre... | 34.159524 | 100 | 0.596989 | # Copyright 2019 Xanadu Quantum Technologies Inc.
# 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 agre... | 0 | 0 | 0 |
16cc86fad7a7172c7c782122f5ad65bb2e4e6377 | 1,226 | py | Python | Python/counting_and_celebrating_fizzbuzz.py | RDxR10/Hacktoberfest-2020-FizzBuzz | c9a8e3a0ac1ff9886c013a6b5628b7f64eb0d342 | [
"Unlicense"
] | 80 | 2020-10-01T00:32:34.000Z | 2021-01-08T21:56:09.000Z | Python/counting_and_celebrating_fizzbuzz.py | RDxR10/Hacktoberfest-2020-FizzBuzz | c9a8e3a0ac1ff9886c013a6b5628b7f64eb0d342 | [
"Unlicense"
] | 672 | 2020-09-30T22:53:47.000Z | 2020-11-01T12:39:59.000Z | Python/counting_and_celebrating_fizzbuzz.py | RDxR10/Hacktoberfest-2020-FizzBuzz | c9a8e3a0ac1ff9886c013a6b5628b7f64eb0d342 | [
"Unlicense"
] | 618 | 2020-09-30T22:21:12.000Z | 2020-10-31T21:28:06.000Z | # This solution counts how many times the words "fizz" and "buzz" appear in a range provided by the user
# The input has to be a valid positive integer
# The current count of the word is shown each time the word appears, and a random expression for FizzBuzz
# Author: @moisesjsalmeida
import random
fizz = 0
buzz = 0
... | 24.039216 | 105 | 0.576672 | # This solution counts how many times the words "fizz" and "buzz" appear in a range provided by the user
# The input has to be a valid positive integer
# The current count of the word is shown each time the word appears, and a random expression for FizzBuzz
# Author: @moisesjsalmeida
import random
fizz = 0
buzz = 0
... | 0 | 0 | 0 |
22c9b3edccaf1b55549a0d75ac9ddb40a856d3e2 | 5,449 | pyw | Python | examples/ctrltestjson/gui/gui.pyw | MrLeeh/pidctrl | 2e09eeb3fc5cf5cd72c69bf208c44b86e8d3f729 | [
"MIT"
] | 1 | 2018-03-04T06:13:49.000Z | 2018-03-04T06:13:49.000Z | examples/ctrltestjson/gui/gui.pyw | MrLeeh/pidctrl | 2e09eeb3fc5cf5cd72c69bf208c44b86e8d3f729 | [
"MIT"
] | null | null | null | examples/ctrltestjson/gui/gui.pyw | MrLeeh/pidctrl | 2e09eeb3fc5cf5cd72c69bf208c44b86e8d3f729 | [
"MIT"
] | 1 | 2018-07-17T11:58:59.000Z | 2018-07-17T11:58:59.000Z | #! python3
import sys
import json
import serial
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QSpinBox, \
QGridLayout, QPushButton, QGroupBox, QVBoxLayout
from PyQt5.QtCore import QTimer
COMPORT = "/dev/cu.usbmodemfd121"
if __name__ == "__main__":
app = QApplication(sys.argv)
w = CtrlTest... | 29.93956 | 70 | 0.591485 | #! python3
import sys
import json
import serial
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QSpinBox, \
QGridLayout, QPushButton, QGroupBox, QVBoxLayout
from PyQt5.QtCore import QTimer
COMPORT = "/dev/cu.usbmodemfd121"
class MySpinBox(QSpinBox):
def __init__(self, parent=None):
super(... | 4,849 | 11 | 234 |
d10c481606909bb2fa1e303b6d6b2e830bddf544 | 12,306 | py | Python | tests/test_ts_dweepy.py | jeffskinnerbox/ts_dweepy | 9b6de51e145979a61a9be295e91d70db199b61f4 | [
"MIT"
] | null | null | null | tests/test_ts_dweepy.py | jeffskinnerbox/ts_dweepy | 9b6de51e145979a61a9be295e91d70db199b61f4 | [
"MIT"
] | null | null | null | tests/test_ts_dweepy.py | jeffskinnerbox/ts_dweepy | 9b6de51e145979a61a9be295e91d70db199b61f4 | [
"MIT"
] | null | null | null | """A port of dweetio-client's (the official javascript one, to python)
"""
# stdlib imports
import os
import subprocess
import unittest
import uuid
# local imports
import ts_dweepy
test_data = {
'hello': "world",
'somenum': 6816513845,
}
test_lock = os.environ.get('DWEET_LOCK')
test_key = os.environ.get('DW... | 34.470588 | 143 | 0.638388 | """A port of dweetio-client's (the official javascript one, to python)
"""
# stdlib imports
import os
import subprocess
import unittest
import uuid
# local imports
import ts_dweepy
test_data = {
'hello': "world",
'somenum': 6816513845,
}
test_lock = os.environ.get('DWEET_LOCK')
test_key = os.environ.get('DW... | 2,302 | 9,296 | 230 |