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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b981440ef6dd9840fe7b1f1f885870c5756d942a | 6,285 | py | Python | instagram/bind.py | bearprada/instagram-tag-monitor | 3cad22d9abd3b44c9c8714bb1c3cb41a3c876c5f | [
"MIT"
] | 2 | 2015-12-19T08:04:28.000Z | 2017-07-28T10:25:12.000Z | instagram/bind.py | bearprada/instagram-tag-monitor | 3cad22d9abd3b44c9c8714bb1c3cb41a3c876c5f | [
"MIT"
] | null | null | null | instagram/bind.py | bearprada/instagram-tag-monitor | 3cad22d9abd3b44c9c8714bb1c3cb41a3c876c5f | [
"MIT"
] | null | null | null | import re
re_path_template = re.compile('{\w+}')
| 40.811688 | 128 | 0.555449 | import urllib
from oauth2 import OAuth2Request
import re
from json_import import simplejson
re_path_template = re.compile('{\w+}')
def encode_string(value):
return value.encode('utf-8') \
if isinstance(value, unicode) else str(value)
class InstagramClientError(Exception):
def __init... | 0 | 0 | 0 | 5,770 | 0 | 287 | 0 | 16 | 158 |
07c776590fbaaa6dfaf168c37f9d45306a336f43 | 1,142 | py | Python | cleaning_ex/cleaner.py | cltrudeau/codingnomads | 2a13f36186a5d0fc85ea54690e621b7ba9e2041e | [
"MIT"
] | 1 | 2020-05-06T17:34:33.000Z | 2020-05-06T17:34:33.000Z | cleaning_ex/cleaner.py | cltrudeau/codingnomads | 2a13f36186a5d0fc85ea54690e621b7ba9e2041e | [
"MIT"
] | 5 | 2021-03-31T19:46:09.000Z | 2021-09-22T19:34:02.000Z | cleaning_ex/cleaner.py | cltrudeau/codingnomads | 2a13f36186a5d0fc85ea54690e621b7ba9e2041e | [
"MIT"
] | 1 | 2020-06-04T20:58:21.000Z | 2020-06-04T20:58:21.000Z | #!/usr/bin/env python
from pathlib import Path
import unicodedata
output = []
filename = Path(__file__).parent.resolve() / "data/books.tsv"
with open(filename) as handle:
lines = handle.readlines()
# lines will contain a row for each line in the file
# Loop through lines and do data scrubbing, put each result ... | 22.84 | 69 | 0.590193 | #!/usr/bin/env python
from pathlib import Path
import unicodedata
output = []
filename = Path(__file__).parent.resolve() / "data/books.tsv"
with open(filename) as handle:
lines = handle.readlines()
# lines will contain a row for each line in the file
# Loop through lines and do data scrubbing, put each result ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b2cf5747c8d26ddf32a96fbcf1bcecd26618ae5 | 417 | py | Python | reference_solutions/upload_bin.py | yahoo/hardware-hackme-1 | d7acbf36854b088a34419f9697f64aaf0e3be83c | [
"MIT"
] | 4 | 2020-04-17T20:22:15.000Z | 2020-05-02T15:04:41.000Z | reference_solutions/upload_bin.py | yahoo/hardware-hackme-1 | d7acbf36854b088a34419f9697f64aaf0e3be83c | [
"MIT"
] | null | null | null | reference_solutions/upload_bin.py | yahoo/hardware-hackme-1 | d7acbf36854b088a34419f9697f64aaf0e3be83c | [
"MIT"
] | 1 | 2020-05-04T01:32:05.000Z | 2020-05-04T01:32:05.000Z | #!/usr/bin/env python3
# Copyright 2020, Verizon Media
# Licensed under the terms of the MIT license. See LICENSE file in project root for terms.
import serial
import sys
in_serport = sys.argv[1]
in_fn = sys.argv[2]
with open(in_fn, 'rb') as f:
payload = f.read()
ser = serial.Serial(in_serport, 115200, timeout=1)
... | 18.954545 | 90 | 0.721823 | #!/usr/bin/env python3
# Copyright 2020, Verizon Media
# Licensed under the terms of the MIT license. See LICENSE file in project root for terms.
import binascii
import serial
import subprocess
import sys
in_serport = sys.argv[1]
in_fn = sys.argv[2]
with open(in_fn, 'rb') as f:
payload = f.read()
ser = serial.Ser... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 45 |
52777aa0752ed891ab623cd6d0d931391f0f9e8a | 9,901 | py | Python | gym_bot_app/models.py | talorabr/RashatzimBot | 3d56ecd77c8cc8cf78310e4675f68a4ca3b1616e | [
"Apache-2.0"
] | null | null | null | gym_bot_app/models.py | talorabr/RashatzimBot | 3d56ecd77c8cc8cf78310e4675f68a4ca3b1616e | [
"Apache-2.0"
] | null | null | null | gym_bot_app/models.py | talorabr/RashatzimBot | 3d56ecd77c8cc8cf78310e4675f68a4ca3b1616e | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
from __future__ import unicode_literals
| 36.003636 | 125 | 0.6061 | # encoding: utf-8
from __future__ import unicode_literals
from datetime import datetime, timedelta
from mongoengine import (Document,
ListField,
StringField,
BooleanField,
DateTimeField,
Embedd... | 0 | 2,294 | 0 | 6,897 | 0 | 0 | 0 | 441 | 206 |
1484137076d74041a15c64db005d71834958165e | 404 | py | Python | more_than_basics/builtins/builtins.py | xames3/python_tuts_v2 | 666d23743d617a33de9782dadcd06a97494b3823 | [
"Apache-2.0"
] | null | null | null | more_than_basics/builtins/builtins.py | xames3/python_tuts_v2 | 666d23743d617a33de9782dadcd06a97494b3823 | [
"Apache-2.0"
] | null | null | null | more_than_basics/builtins/builtins.py | xames3/python_tuts_v2 | 666d23743d617a33de9782dadcd06a97494b3823 | [
"Apache-2.0"
] | null | null | null | # List of Builtins referred from here: https://docs.python.org/3/library/functions.html
# xa = oct(10)
# print(xa, (type(xa)), sep="\n")
xa = ["xa", "pranali", "srushti", "shailesh", "nimesh"]
xa = [idx.upper() for idx in xa]
# ya = xa.copy()
# za = []
# for idx in xa:
# za.append(idx.upper())
print(xa)
# print(... | 17.565217 | 87 | 0.616337 | # List of Builtins referred from here: https://docs.python.org/3/library/functions.html
# xa = oct(10)
import os
import glob
# print(xa, (type(xa)), sep="\n")
xa = ["xa", "pranali", "srushti", "shailesh", "nimesh"]
xa = [idx.upper() for idx in xa]
# ya = xa.copy()
# za = []
# for idx in xa:
# za.append(idx.upper... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -22 | 45 |
44c2fe335e43cc6f717f5b780437fc4c47a6dd18 | 3,700 | py | Python | tushare_trader/__init__.py | gorf/tushare-trader | 7502e11acb509f481041445e69e2f6960b3fba0d | [
"BSD-3-Clause"
] | 1 | 2020-07-12T02:40:11.000Z | 2020-07-12T02:40:11.000Z | tushare_trader/__init__.py | gorf/tushare-trader | 7502e11acb509f481041445e69e2f6960b3fba0d | [
"BSD-3-Clause"
] | 3 | 2020-07-12T01:13:17.000Z | 2021-03-31T19:16:04.000Z | tushare_trader/__init__.py | gorf/tushare-trader | 7502e11acb509f481041445e69e2f6960b3fba0d | [
"BSD-3-Clause"
] | null | null | null | __version__ = '0.7.7'
__author__ = 'Jimmy Liu'
"""
for trading data
"""
"""
for trading data
"""
"""
for macro data
"""
"""
for classifying data
"""
"""
for macro data
"""
"""
for reference
"""
"""
for shibor
"""
"""
for LHB
"""
"""
for utils
"""
"""
for DataYes Token... | 33.035714 | 95 | 0.536216 | __version__ = '0.7.7'
__author__ = 'Jimmy Liu'
"""
for trading data
"""
from tushare_trader.stock.trading import (get_hist_data, get_tick_data,
get_today_all, get_realtime_quotes,
get_h_data, get_today_ticks,
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,884 | 399 |
ad79a8d3eee9a3a57784a6474509d0a1b53512b5 | 222 | py | Python | menus/admin.py | hbolzan/django-sql-to-rest | 008f2d726fc7b758e45d24eb2e32ae605f194947 | [
"BSD-2-Clause"
] | 1 | 2019-03-06T19:46:18.000Z | 2019-03-06T19:46:18.000Z | menus/admin.py | hbolzan/django-sql-to-rest | 008f2d726fc7b758e45d24eb2e32ae605f194947 | [
"BSD-2-Clause"
] | 2 | 2020-06-05T19:41:06.000Z | 2021-06-10T21:05:53.000Z | menus/admin.py | hbolzan/django-sql-to-rest | 008f2d726fc7b758e45d24eb2e32ae605f194947 | [
"BSD-2-Clause"
] | null | null | null | from django.contrib import admin
from menus.models import SystemMenu
admin.site.register(SystemMenu, SystemMenuAdmin)
| 22.2 | 51 | 0.842342 | from django.contrib import admin
from django_mptt_admin.admin import DjangoMpttAdmin
from menus.models import SystemMenu
class SystemMenuAdmin(DjangoMpttAdmin):
pass
admin.site.register(SystemMenu, SystemMenuAdmin)
| 0 | 0 | 0 | 27 | 0 | 0 | 0 | 30 | 45 |
7da8a3e5f21fcbab4d59bff10ca9fcf193fdd4ce | 591 | py | Python | 21312312.py | zhangbo2008/chineseOCR-latest | 8eeb7d4bdf1bf460a3b8190d21507639db4c77f3 | [
"MIT"
] | 8 | 2019-10-29T07:56:04.000Z | 2020-11-27T07:44:25.000Z | 21312312.py | zhangbo2008/chineseOCR-latest | 8eeb7d4bdf1bf460a3b8190d21507639db4c77f3 | [
"MIT"
] | null | null | null | 21312312.py | zhangbo2008/chineseOCR-latest | 8eeb7d4bdf1bf460a3b8190d21507639db4c77f3 | [
"MIT"
] | 1 | 2020-11-03T12:45:27.000Z | 2020-11-03T12:45:27.000Z | ##
import requests
tmp2='http://pics5.baidu.com/feed/38dbb6fd5266d0164f8e49cdd24aa40234fa3522.jpeg?token=c2cbcc6f929b40eb8881ceb4746c0e8c&s=1994CB1452725B94340248850300F0AB'
print(tmp2)
r = requests.get(tmp2)
with open('tmp.jpg', 'wb') as f:
f.write(r.content)
##
print("1111111111")
print("1111111111")
print("11111... | 22.730769 | 154 | 0.763113 | ##
import requests
tmp2='http://pics5.baidu.com/feed/38dbb6fd5266d0164f8e49cdd24aa40234fa3522.jpeg?token=c2cbcc6f929b40eb8881ceb4746c0e8c&s=1994CB1452725B94340248850300F0AB'
print(tmp2)
r = requests.get(tmp2)
with open('tmp.jpg', 'wb') as f:
f.write(r.content)
##
print("1111111111")
print("1111111111")
print("11111... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c683ff8f817eb532dbd2635547cbcb925c679a26 | 37,972 | py | Python | watex/utils/tricks.py | WEgeophysics/watex | 21616ce35372a095c3dd624f82a5282b15cb2c91 | [
"MIT"
] | 3 | 2021-06-19T02:16:46.000Z | 2021-07-16T15:56:49.000Z | watex/utils/tricks.py | WEgeophysics/watex | 21616ce35372a095c3dd624f82a5282b15cb2c91 | [
"MIT"
] | null | null | null | watex/utils/tricks.py | WEgeophysics/watex | 21616ce35372a095c3dd624f82a5282b15cb2c91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
===============================================================================
Copyright (c) 2021 Kouadio K. Laurent
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 Software wi... | 34.804766 | 95 | 0.559939 | # -*- coding: utf-8 -*-
"""
===============================================================================
Copyright (c) 2021 Kouadio K. Laurent
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 Software wi... | 4 | 2,263 | 0 | 0 | 0 | 0 | 0 | 32 | 100 |
26b2299fc736855cc6f266946d8b6050b00ab180 | 23,051 | py | Python | QConnectBase/connection_base.py | test-fullautomation/robotframework-qconnect-base | b8a6b5bc89907f2a7f6cd69460f11bde496526bd | [
"Apache-2.0"
] | 1 | 2021-12-22T01:50:48.000Z | 2021-12-22T01:50:48.000Z | QConnectBase/connection_base.py | test-fullautomation/robotframework-qconnect-base | b8a6b5bc89907f2a7f6cd69460f11bde496526bd | [
"Apache-2.0"
] | 4 | 2022-02-08T12:24:42.000Z | 2022-03-28T13:07:43.000Z | QConnectBase/connection_base.py | test-fullautomation/robotframework-qconnect-base | b8a6b5bc89907f2a7f6cd69460f11bde496526bd | [
"Apache-2.0"
] | 1 | 2022-02-15T05:38:30.000Z | 2022-02-15T05:38:30.000Z | # Copyright 2020-2022 Robert Bosch Car Multimedia GmbH
#
# 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... | 35.463077 | 169 | 0.623747 | # Copyright 2020-2022 Robert Bosch Car Multimedia GmbH
#
# 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... | 0 | 6,293 | 0 | 15,267 | 0 | 0 | 0 | 15 | 266 |
6cfa6cf4a8e279382f2f497f00619a53aa3c0534 | 2,527 | py | Python | xcode_build/xcode_build.py | 12star9/Python-Tools | dd5f1564670240f4b053355418669b274028e1a7 | [
"MIT"
] | 19 | 2018-08-24T08:03:12.000Z | 2021-05-17T08:12:29.000Z | xcode_build/xcode_build.py | 12star9/Python-Tools | dd5f1564670240f4b053355418669b274028e1a7 | [
"MIT"
] | 3 | 2021-03-19T01:47:04.000Z | 2022-01-13T01:23:02.000Z | xcode_build/xcode_build.py | 12star9/Python-Tools | dd5f1564670240f4b053355418669b274028e1a7 | [
"MIT"
] | 6 | 2019-07-07T16:51:12.000Z | 2021-05-20T06:31:27.000Z | # -*- coding: utf-8 -*-
import os
import shutil
# import appicon_generate
#
current_work_path=os.getcwd()
projecttest_path=current_work_path+"/project_test"
projectPathList=[projecttest_path]
for index in range(0,4):
resultPath=projecttest_path+"/../backup%s"%(index)
try:
shutil.rmtree(resultPath)
... | 30.445783 | 224 | 0.67313 | # -*- coding: utf-8 -*-
import optparse
import os
import sys
import getpass
import json
import hashlib
import smtplib
import commands
import subprocess
import shutil
# import appicon_generate
from xcode_build_module import XCodeBuild
#主函数
def main():
# print buildArchivePath('project_test')
# return
# prin... | 39 | 0 | 0 | 0 | 0 | 1,550 | 0 | -38 | 243 |
0bf8ac14dd00049d22a2e0dc026034c8c1c67517 | 19,107 | py | Python | src/flags.py | kor-solidarity/screeps_python | 18479c00c2284eeddc583ad55e3ae9f9fc3e09ff | [
"MIT"
] | null | null | null | src/flags.py | kor-solidarity/screeps_python | 18479c00c2284eeddc583ad55e3ae9f9fc3e09ff | [
"MIT"
] | null | null | null | src/flags.py | kor-solidarity/screeps_python | 18479c00c2284eeddc583ad55e3ae9f9fc3e09ff | [
"MIT"
] | null | null | null |
__pragma__('noalias', 'name')
__pragma__('noalias', 'undefined')
__pragma__('noalias', 'Infinity')
__pragma__('noalias', 'keys')
__pragma__('noalias', 'get')
__pragma__('noalias', 'set')
__pragma__('noalias', 'type')
__pragma__('noalias', 'update')
# todo
# REMOTE----------------------------------------------... | 43.425 | 115 | 0.479615 | from defs import *
import random
import miscellaneous
import pathfinding
from _custom_constants import *
from structure_display import *
__pragma__('noalias', 'name')
__pragma__('noalias', 'undefined')
__pragma__('noalias', 'Infinity')
__pragma__('noalias', 'keys')
__pragma__('noalias', 'get')
__pragma__('noalias', 's... | 3,511 | 0 | 0 | 0 | 0 | 17,279 | 0 | 5 | 155 |
0f1ac96711ae26dda8377bc5d76c3872eea1afb7 | 7,311 | py | Python | kgtk/cli/remove_columns.py | shashank73744/kgtk | e8b45e35e97cbe788edeaf0962742e48b24e309c | [
"MIT"
] | null | null | null | kgtk/cli/remove_columns.py | shashank73744/kgtk | e8b45e35e97cbe788edeaf0962742e48b24e309c | [
"MIT"
] | null | null | null | kgtk/cli/remove_columns.py | shashank73744/kgtk | e8b45e35e97cbe788edeaf0962742e48b24e309c | [
"MIT"
] | null | null | null | """
Remove columns from a KGTK file.
"""
from argparse import Namespace
from kgtk.cli_argparse import KGTKArgumentParser
def add_arguments_extended(parser: KGTKArgumentParser, parsed_shared_args: Namespace):
"""
Parse arguments
Args:
parser (argparse.ArgumentParser)
"""
from kgtk.io.kgtkr... | 41.073034 | 153 | 0.616879 | """
Remove columns from a KGTK file.
"""
from argparse import Namespace, SUPPRESS
import typing
from kgtk.cli_argparse import KGTKArgumentParser, KGTKFiles
def parser():
return {
'help': 'Remove columns from a KGTK file.',
'description': 'Remove specific columns from a KGTK file.'
}
def add_... | 0 | 0 | 0 | 0 | 0 | 5,429 | 0 | 13 | 68 |
cf5c88ac7ec5d660e56f6f172e6ee872ace993e3 | 589 | py | Python | init_all.py | Frankkie/Thesis-Project-IF-Game | e44cc2f7ce19bbfa04de3a4fee959651024b276b | [
"MIT"
] | 1 | 2021-06-12T22:54:24.000Z | 2021-06-12T22:54:24.000Z | init_all.py | Frankkie/Thesis-Project-IF-Game | e44cc2f7ce19bbfa04de3a4fee959651024b276b | [
"MIT"
] | null | null | null | init_all.py | Frankkie/Thesis-Project-IF-Game | e44cc2f7ce19bbfa04de3a4fee959651024b276b | [
"MIT"
] | null | null | null | """
"""
| 17.848485 | 65 | 0.619694 | """
"""
from display import Display
from load import Loader
from game import Game
class Initializer:
"""
The class that handles the program before a game is launched.
"""
def __init__(self):
self.display = Display(None)
self.loader = None
self.game = None
def load_game... | 0 | 0 | 0 | 476 | 0 | 0 | 0 | 8 | 90 |
1f57911b5e44b1ab4f8fa09702e065453ebc8590 | 3,666 | py | Python | bobinler.py | enderyilmazz/ElektronikKomponentKayitKontrolSistemi | 0a5219aa8d6d729b7a240176bc02770681eaf6fe | [
"MIT"
] | 1 | 2021-12-02T10:55:41.000Z | 2021-12-02T10:55:41.000Z | bobinler.py | enderyilmazz/ElektronikKomponentKayitKontrolSistemi | 0a5219aa8d6d729b7a240176bc02770681eaf6fe | [
"MIT"
] | null | null | null | bobinler.py | enderyilmazz/ElektronikKomponentKayitKontrolSistemi | 0a5219aa8d6d729b7a240176bc02770681eaf6fe | [
"MIT"
] | null | null | null | #171602012 - Ender Ylmaz
#Biliim Sistemleri Mhendislii
#Elektronik Komponent Kayt Kontrol Sistemi | 53.130435 | 99 | 0.688762 | #171602012 - Ender Yılmaz
#Bilişim Sistemleri Mühendisliği
#Elektronik Komponent Kayıt Kontrol Sistemi
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_bobinler(object):
def setupUi(self, bobinler):
bobinler.setObjectName("bobinler")
bobinler.resize(293, 190)
icon = QtGui.QIcon()
... | 22 | 0 | 0 | 3,492 | 0 | 0 | 0 | 21 | 45 |
204a60b80807dd098d39cbc5d789117dabc04f40 | 555 | py | Python | src/timeatlas/models/NN/util.py | fredmontet/timeatlas | 9a439a913ef9a8a1ef9833b42e5fb4e988d7e35e | [
"MIT"
] | 10 | 2020-08-25T09:23:02.000Z | 2021-01-12T14:00:35.000Z | src/timeatlas/models/NN/util.py | fredmontet/timeatlas | 9a439a913ef9a8a1ef9833b42e5fb4e988d7e35e | [
"MIT"
] | 140 | 2020-06-30T11:59:47.000Z | 2021-08-23T20:58:43.000Z | src/timeatlas/models/NN/util.py | fredmontet/timeatlas | 9a439a913ef9a8a1ef9833b42e5fb4e988d7e35e | [
"MIT"
] | null | null | null | import numpy as np
def chunkify(tsd, seq_len):
"""
Splits a TimeSeriesDataset into chunks of length seq_len
Args:
tsd: TimeSeriesDataset object
seq_len: length of the subsequences to return
Returns: numpy arrays with chunks of size seq_len
"""
x, y = [], []
for s in tsd... | 21.346154 | 60 | 0.569369 | import numpy as np
def chunkify(tsd, seq_len):
"""
Splits a TimeSeriesDataset into chunks of length seq_len
Args:
tsd: TimeSeriesDataset object
seq_len: length of the subsequences to return
Returns: numpy arrays with chunks of size seq_len
"""
x, y = [], []
for s in tsd... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5adb499c490f3f509aec32ba50dc8a30ee53dbe1 | 861 | py | Python | leon_utils/clime.py | Leonerist/YoloX-Track-Plate_Recognition-MoreModules | fde4a001c0088d4bfe7a027f31040e732ec8b519 | [
"Apache-2.0"
] | 7 | 2022-03-12T09:09:44.000Z | 2022-03-20T05:19:23.000Z | leon_utils/clime.py | Leonerist/YoloX-Track-Plate_Recognition-MoreModules | fde4a001c0088d4bfe7a027f31040e732ec8b519 | [
"Apache-2.0"
] | null | null | null | leon_utils/clime.py | Leonerist/YoloX-Track-Plate_Recognition-MoreModules | fde4a001c0088d4bfe7a027f31040e732ec8b519 | [
"Apache-2.0"
] | null | null | null |
# tar4
| 25.323529 | 61 | 0.541231 | import cv2
import uuid
import os
def pic_save(tar_num,pic,root):
root = os.path.join(root,'clime_pics')
file_name = os.path.join(root,tar_num)
if not os.path.exists(file_name ):
os.mkdir(file_name)
ran = uuid.uuid4().hex
pic_name = os.path.join(file_name , '{}.jpg'.format(ran))
cv2.imw... | 63 | 0 | 0 | 0 | 0 | 751 | 0 | -33 | 111 |
eafe07d9b54c8a2808bc734ee1b880f491578b49 | 1,861 | py | Python | douban/douban/settings.py | ziyiyizi/crawl_web | 191b0839d9d095adccd8c2ab893d35c54dfc4053 | [
"Apache-2.0"
] | 11 | 2016-08-01T09:28:23.000Z | 2021-11-08T08:45:54.000Z | douban/douban/settings.py | ziyiyizi/crawl_web | 191b0839d9d095adccd8c2ab893d35c54dfc4053 | [
"Apache-2.0"
] | null | null | null | douban/douban/settings.py | ziyiyizi/crawl_web | 191b0839d9d095adccd8c2ab893d35c54dfc4053 | [
"Apache-2.0"
] | 4 | 2016-09-09T04:45:39.000Z | 2019-10-29T06:34:39.000Z | # -*- coding: utf-8 -*-
# Scrapy settings for douban project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/... | 33.232143 | 80 | 0.785599 | # -*- coding: utf-8 -*-
# Scrapy settings for douban project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/... | 255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
54b127d16e206063b8d9142f1e864c12d75bf507 | 46,092 | py | Python | astroquery/esa/jwst/tests/test_jwsttap.py | mfisherlevine/astroquery | cda88ef18b308563e86ee79bcc78e4ac59874df1 | [
"BSD-3-Clause"
] | null | null | null | astroquery/esa/jwst/tests/test_jwsttap.py | mfisherlevine/astroquery | cda88ef18b308563e86ee79bcc78e4ac59874df1 | [
"BSD-3-Clause"
] | null | null | null | astroquery/esa/jwst/tests/test_jwsttap.py | mfisherlevine/astroquery | cda88ef18b308563e86ee79bcc78e4ac59874df1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
===============
eJWST TAP tests
===============
European Space Astronomy Centre (ESAC)
European Space Agency (ESA)
"""
planeids = "('00000000-0000-0000-879d-ae91fa2f43e2', '00000000-0000-0000-9852-a9fa8c63f7ef')"
| 43.897143 | 115 | 0.595266 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
===============
eJWST TAP tests
===============
European Space Astronomy Centre (ESAC)
European Space Agency (ESA)
"""
import os
import shutil
from unittest.mock import MagicMock
import astropy.units as u
import numpy as np
import pytest
from astrop... | 0 | 1,535 | 0 | 42,687 | 0 | 579 | 0 | 349 | 649 |
90b56e9072ff77759975646cfa3e82041694b2d4 | 737 | py | Python | docs/conf.py | ShantamShorewala/aizynthfinder | 6b15d5846558b14c4ce3c353727d9d676af7f6fb | [
"MIT"
] | null | null | null | docs/conf.py | ShantamShorewala/aizynthfinder | 6b15d5846558b14c4ce3c353727d9d676af7f6fb | [
"MIT"
] | null | null | null | docs/conf.py | ShantamShorewala/aizynthfinder | 6b15d5846558b14c4ce3c353727d9d676af7f6fb | [
"MIT"
] | null | null | null | import os
import sys
sys.path.insert(0, os.path.abspath("."))
project = "aizynthfinder"
copyright = "2020-2022, Molecular AI group"
author = "Molecular AI group"
release = "3.3.0"
# This make sure that the cli_help.txt file is properly formated
with open("cli_help.txt", "r") as fileobj:
lines = fileobj.read().sp... | 25.413793 | 86 | 0.694708 | import os
import sys
sys.path.insert(0, os.path.abspath("."))
project = "aizynthfinder"
copyright = "2020-2022, Molecular AI group"
author = "Molecular AI group"
release = "3.3.0"
# This make sure that the cli_help.txt file is properly formated
with open("cli_help.txt", "r") as fileobj:
lines = fileobj.read().sp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c41bc50ee88e3138d6b8c2fd1482bb7a081971bc | 2,351 | py | Python | main.py | johangenis/day-18-start | 1d479505b0bb3223e6e8032303669d9f9d0c076c | [
"MIT"
] | null | null | null | main.py | johangenis/day-18-start | 1d479505b0bb3223e6e8032303669d9f9d0c076c | [
"MIT"
] | null | null | null | main.py | johangenis/day-18-start | 1d479505b0bb3223e6e8032303669d9f9d0c076c | [
"MIT"
] | null | null | null | from turtle import Turtle, Screen
tim = Turtle()
tim.shape("turtle")
tim.color("red")
tim.speed("fastest")
# r = random.random()
# b = random.random()
# g = random.random()
# rgb = (random.random(), random.random(), random.random())
draw_spirograph(5)
# for shape_sides_n in range(3, 41):
# draw_shapes(shape_... | 20.991071 | 65 | 0.612505 | import _tkinter
from turtle import Turtle, Screen
import random
tim = Turtle()
tim.shape("turtle")
tim.color("red")
tim.speed("fastest")
# r = random.random()
# b = random.random()
# g = random.random()
# rgb = (random.random(), random.random(), random.random())
def draw_shapes(num_sides):
angle = 360/num_sides
... | 0 | 0 | 0 | 0 | 0 | 1,588 | 0 | -14 | 251 |
89af48b3ab87b7d65ea88b68ffd8b3bf3ae91a67 | 226 | py | Python | example/JKBrickworks/1701_printer/print_space.py | HomeIT4all/micropython-ev3dev | fd59b55eb840d6e83a1e78d76a363af12c6d7f81 | [
"MIT"
] | 6 | 2019-04-16T08:32:38.000Z | 2021-09-27T12:18:46.000Z | example/JKBrickworks/1701_printer/print_space.py | HomeIT4all/micropython-ev3dev | fd59b55eb840d6e83a1e78d76a363af12c6d7f81 | [
"MIT"
] | null | null | null | example/JKBrickworks/1701_printer/print_space.py | HomeIT4all/micropython-ev3dev | fd59b55eb840d6e83a1e78d76a363af12c6d7f81 | [
"MIT"
] | 3 | 2019-12-22T16:13:38.000Z | 2021-09-27T12:19:04.000Z |
# My Blocks
| 17.384615 | 39 | 0.756637 |
from project import motor
from project import variables
# My Blocks
from lower_pen import lower_pen
from lift_pen import lift_pen
def print_space(size):
seg4 = variables['Seg4']
motor['A'].on_for_degrees(25, seg4)
| 0 | 0 | 0 | 0 | 0 | 70 | 0 | 30 | 112 |
12811944daf601d9b30ebfd6544d6de22d011f0a | 6,181 | py | Python | adminfind.py | blackXploits/AdminFind2 | 6222de245116b0fb77521ed54449a86a73a3f1d3 | [
"MIT"
] | null | null | null | adminfind.py | blackXploits/AdminFind2 | 6222de245116b0fb77521ed54449a86a73a3f1d3 | [
"MIT"
] | null | null | null | adminfind.py | blackXploits/AdminFind2 | 6222de245116b0fb77521ed54449a86a73a3f1d3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: BlackXploits
# Telegram: @BlackXploits
# Please don't delete this COPYRIGHT
import argparse
import subprocess
import signal
import Queue
import time
from threading import Thread, Lock
from sys import argv, stdout
from os import getpid, kill
w = '\033[0m'
y = ... | 31.535714 | 184 | 0.626759 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: BlackXploits
# Telegram: @BlackXploits
# Please don't delete this COPYRIGHT
import argparse
import subprocess
import signal
import Queue
import time
from threading import Thread, Lock
from sys import argv, stdout
from os import getpid, kill
w = '\033[0m'
y = ... | 0 | 0 | 0 | 1,238 | 0 | 1,790 | 0 | 0 | 141 |
8ac760cb94d7eff35d38268345a0ee40b72f61bd | 249 | py | Python | Day 2/OutPut.py | Soundarya0/30-Days-of-Code | c7b34826c96eaef97a4e4c2dd9e8a30a9daaf990 | [
"MIT"
] | null | null | null | Day 2/OutPut.py | Soundarya0/30-Days-of-Code | c7b34826c96eaef97a4e4c2dd9e8a30a9daaf990 | [
"MIT"
] | null | null | null | Day 2/OutPut.py | Soundarya0/30-Days-of-Code | c7b34826c96eaef97a4e4c2dd9e8a30a9daaf990 | [
"MIT"
] | null | null | null | Python 3.8.1 (tags/v3.8.1:1b293b6, Dec 18 2019, 23:11:46) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>>=======30 Days of Code/Day 2/Operators.py ======
12.00
20
8
15
>>>
| 24.9 | 95 | 0.606426 | Python 3.8.1 (tags/v3.8.1:1b293b6, Dec 18 2019, 23:11:46) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>>=======30 Days of Code/Day 2/Operators.py ======
12.00
20
8
15
>>>
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e674cdc55fcf16b081aab4e42eb70a114f2254ff | 61,641 | py | Python | tensorflow_probability/python/internal/distribution_util_test.py | RogerFrigola/probability | cfb507b7ede2c1ba753bffc5ea827b9c97c37bdc | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/internal/distribution_util_test.py | RogerFrigola/probability | cfb507b7ede2c1ba753bffc5ea827b9c97c37bdc | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/internal/distribution_util_test.py | RogerFrigola/probability | cfb507b7ede2c1ba753bffc5ea827b9c97c37bdc | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# 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 o... | 36.259412 | 80 | 0.633507 | # Copyright 2018 The TensorFlow Probability Authors.
#
# 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 o... | 0 | 12,878 | 0 | 44,386 | 0 | 1,495 | 0 | 303 | 1,130 |
409adb4c2876471e91efadcd006af57a80bddfb1 | 839 | py | Python | jobs/urls.py | mkimartinez/Lyfey | 8a27ef7fea92146f043c68c7ef5ee3672014c3fc | [
"MIT"
] | null | null | null | jobs/urls.py | mkimartinez/Lyfey | 8a27ef7fea92146f043c68c7ef5ee3672014c3fc | [
"MIT"
] | null | null | null | jobs/urls.py | mkimartinez/Lyfey | 8a27ef7fea92146f043c68c7ef5ee3672014c3fc | [
"MIT"
] | null | null | null | from django.conf.urls import url
import jobs.views as views
from rest_framework.urlpatterns import format_suffix_patterns
# urlpatterns = [
# url(r'^$', views.indexJobs, name='indexJobs'),
app_name ='jobs'
# ]
urlpatterns = [
url(r'^$', views.jobsIndex, name='jobsIndex'),
url(r'^j... | 39.952381 | 79 | 0.705602 | from django.conf.urls import url
from django.contrib.staticfiles import views as static_views
from django.conf.urls.static import static
from django.conf import settings
import jobs.views as views
from django.views.generic import ListView,DetailView
from jobs.models import Job
from rest_framework.urlpatterns import for... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 110 |
924962304e469d47a501a8bfc37a4a68f7833772 | 3,253 | py | Python | 2018/day15/combat.py | scrubskip/adventofcode2018 | 8149908d1239759597fda575432cf3ec99019dc0 | [
"Apache-2.0"
] | null | null | null | 2018/day15/combat.py | scrubskip/adventofcode2018 | 8149908d1239759597fda575432cf3ec99019dc0 | [
"Apache-2.0"
] | null | null | null | 2018/day15/combat.py | scrubskip/adventofcode2018 | 8149908d1239759597fda575432cf3ec99019dc0 | [
"Apache-2.0"
] | null | null | null |
# Sorts y coordinate first, then x.
if __name__ == "__main__":
main()
| 29.844037 | 89 | 0.57178 |
def main():
pass
# Sorts y coordinate first, then x.
def POSITION_COMPARATOR(x): return (x[1], x[0])
class Board:
def __init__(self):
self.state = []
self.width = -1
self.units = []
def add_row(self, row):
self.state.append(row)
if (self.width == -1):
... | 0 | 184 | 0 | 2,873 | 0 | 25 | 0 | 0 | 91 |
dcae4afdf4101782c5dc6dab3ba349f227806355 | 1,564 | py | Python | ironmq-alert-pagerduty.py | OnBeep/ironmq-alert-pagerduty | 13e0fb906d494ec156069051731bf71d5c1ad257 | [
"Apache-2.0"
] | 1 | 2015-01-26T19:41:56.000Z | 2015-01-26T19:41:56.000Z | ironmq-alert-pagerduty.py | OnBeep/ironmq-alert-pagerduty | 13e0fb906d494ec156069051731bf71d5c1ad257 | [
"Apache-2.0"
] | null | null | null | ironmq-alert-pagerduty.py | OnBeep/ironmq-alert-pagerduty | 13e0fb906d494ec156069051731bf71d5c1ad257 | [
"Apache-2.0"
] | null | null | null | import argparse
import json
import pygerduty
import yaml
parser = argparse.ArgumentParser(description="Simple argument parser")
parser.add_argument("-config", type=str, required=False,
help="The location of a file containing a JSON payload.")
parser.add_argument("-payload", type=str, required=False,
he... | 30.076923 | 70 | 0.702685 | import argparse
import json
import pprint
import pygerduty
import time
import yaml
parser = argparse.ArgumentParser(description="Simple argument parser")
parser.add_argument("-config", type=str, required=False,
help="The location of a file containing a JSON payload.")
parser.add_argument("-payload", type=str, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -18 | 44 |
3ea59de0c0a271acba84f58574d3a231f8250293 | 776 | py | Python | day02/main.py | Floozutter/aoc-2021-python | 29f670d5026d4fe834efccdfedc362052549896b | [
"Unlicense"
] | null | null | null | day02/main.py | Floozutter/aoc-2021-python | 29f670d5026d4fe834efccdfedc362052549896b | [
"Unlicense"
] | null | null | null | day02/main.py | Floozutter/aoc-2021-python | 29f670d5026d4fe834efccdfedc362052549896b | [
"Unlicense"
] | null | null | null | INPUTPATH = "input.txt"
#INPUTPATH = "input-test.txt"
with open(INPUTPATH) as ifile:
raw = ifile.read()
commands = tuple(map(parse_command, raw.strip().split("\n")))
h = d = 0
for word, n in commands:
match word:
case "forward":
h += n
case "down":
d += n
case "u... | 20.972973 | 61 | 0.483247 | INPUTPATH = "input.txt"
#INPUTPATH = "input-test.txt"
with open(INPUTPATH) as ifile:
raw = ifile.read()
def parse_command(line: str) -> tuple[str, int]:
word, n = line.split()
return word, int(n)
commands = tuple(map(parse_command, raw.strip().split("\n")))
h = d = 0
for word, n in commands:
match wor... | 0 | 0 | 0 | 0 | 0 | 78 | 0 | 0 | 23 |
f0a75dd3ab42a6474f2b5a90b908b179edc5d010 | 971 | py | Python | source/scripts/python/ducktype/source/ducktype.py | lights0123/core | 85b4cf004280f64c144a7111236a03021e39fdf9 | [
"Apache-2.0"
] | 1 | 2021-03-12T11:07:19.000Z | 2021-03-12T11:07:19.000Z | source/scripts/python/ducktype/source/ducktype.py | lights0123/core | 85b4cf004280f64c144a7111236a03021e39fdf9 | [
"Apache-2.0"
] | null | null | null | source/scripts/python/ducktype/source/ducktype.py | lights0123/core | 85b4cf004280f64c144a7111236a03021e39fdf9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
| 22.068182 | 44 | 0.608651 | #!/usr/bin/env python3
def multiply(left, right):
result = left * right;
print(left, ' * ', right, ' = ', result);
return result;
def divide(left, right):
if right != 0.0:
result = left / right;
print(left, ' / ', right, ' = ', result);
else:
print('Invalid right operand: ', right);
return result;
def su... | 0 | 0 | 0 | 0 | 0 | 764 | 0 | 0 | 184 |
6c5e94ad965376f9d4defe5b2bf499a9b31d9ca1 | 6,938 | py | Python | extraction.py | davarbri/jpegForensics | 66f20b861655481c4575430858977a80afddff65 | [
"CC0-1.0"
] | null | null | null | extraction.py | davarbri/jpegForensics | 66f20b861655481c4575430858977a80afddff65 | [
"CC0-1.0"
] | null | null | null | extraction.py | davarbri/jpegForensics | 66f20b861655481c4575430858977a80afddff65 | [
"CC0-1.0"
] | null | null | null | # !/usr/bin/python3
# David Arboledas Brihuega
# November 2021
#
# ------------------------------------------------------
# This script is called by extractForensicJPEG to get
# all the forensic data embebed in the jpeg files
# --------------------------------------------------------
# import sys
import binascii
TRAI... | 34.346535 | 79 | 0.53488 | # !/usr/bin/python3
# David Arboledas Brihuega
# November 2021
#
# ------------------------------------------------------
# This script is called by extractForensicJPEG to get
# all the forensic data embebed in the jpeg files
# --------------------------------------------------------
# import sys
import binascii
impor... | 0 | 0 | 0 | 0 | 0 | 6,088 | 0 | 12 | 278 |
d967be55e6cb52da3762f78abab30bc03ed2c8b0 | 391 | py | Python | blogs/migrations/0033_emailer_notification_text.py | daaawx/bearblog | 5e01e4443c632ff53b918cf8a0d3b1c648b352fe | [
"MIT"
] | 657 | 2020-05-26T16:16:07.000Z | 2022-03-26T22:35:01.000Z | blogs/migrations/0033_emailer_notification_text.py | daaawx/bearblog | 5e01e4443c632ff53b918cf8a0d3b1c648b352fe | [
"MIT"
] | 107 | 2020-05-26T17:45:04.000Z | 2022-03-17T08:24:00.000Z | blogs/migrations/0033_emailer_notification_text.py | daaawx/bearblog | 5e01e4443c632ff53b918cf8a0d3b1c648b352fe | [
"MIT"
] | 42 | 2020-05-26T23:57:58.000Z | 2022-03-15T04:20:26.000Z | # Generated by Django 3.0.7 on 2021-04-08 09:51
| 20.578947 | 47 | 0.603581 | # Generated by Django 3.0.7 on 2021-04-08 09:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blogs', '0032_auto_20210408_0927'),
]
operations = [
migrations.AddField(
model_name='emailer',
name='notification_t... | 0 | 0 | 0 | 277 | 0 | 0 | 0 | 19 | 46 |
e375caa94d739899aaba48b2a38229c7a7c23855 | 13,044 | py | Python | src/tenants/models.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | 1 | 2016-01-18T08:19:22.000Z | 2016-01-18T08:19:22.000Z | src/tenants/models.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | src/tenants/models.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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/lice... | 33.880519 | 96 | 0.66797 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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/lice... | 0 | 2,768 | 0 | 8,200 | 0 | 0 | 0 | 404 | 537 |
12b095adb60425a8605df3b0b9f6a57257c592e1 | 5,067 | py | Python | seaworthy/containers/rabbitmq.py | praekeltfoundation/seaworthy | 6f10a19b45d4ea1dc3bd0553cc4d0438696c079c | [
"BSD-3-Clause"
] | 31 | 2017-11-21T12:21:31.000Z | 2021-11-16T11:50:42.000Z | seaworthy/containers/rabbitmq.py | praekeltfoundation/seaworthy | 6f10a19b45d4ea1dc3bd0553cc4d0438696c079c | [
"BSD-3-Clause"
] | 91 | 2017-08-16T14:24:52.000Z | 2020-01-16T10:13:52.000Z | seaworthy/containers/rabbitmq.py | praekeltfoundation/seaworthy | 6f10a19b45d4ea1dc3bd0553cc4d0438696c079c | [
"BSD-3-Clause"
] | 3 | 2018-10-13T07:56:02.000Z | 2019-02-14T12:29:53.000Z | """
RabbitMQ container definition.
"""
| 34.006711 | 78 | 0.594632 | """
RabbitMQ container definition.
"""
from seaworthy.definitions import ContainerDefinition
from seaworthy.utils import output_lines
def _parse_rabbitmq_user(user_line):
user, tags = user_line.split('\t', 1)
tags = tags.strip('[]').split(', ')
return (user, tags)
class RabbitMQContainer(ContainerDefin... | 0 | 0 | 0 | 4,763 | 0 | 121 | 0 | 51 | 91 |
b9fca280646e6e89fc5b84533dc2566e7941b0bd | 9,410 | py | Python | Lib/gds/burp/api.py | mwielgoszewski/jython-burp-api | 002383f7acc5fb237e3804fe5bd2aa2950a0240d | [
"0BSD"
] | 134 | 2015-01-21T14:22:42.000Z | 2021-09-02T10:52:43.000Z | Lib/gds/burp/api.py | d453d2/burp-jython-console | 3cec3200ede2da0f1cdbf935efc340f073c07ea2 | [
"0BSD"
] | 7 | 2015-01-19T16:54:45.000Z | 2018-10-10T15:10:13.000Z | Lib/gds/burp/api.py | d453d2/burp-jython-console | 3cec3200ede2da0f1cdbf935efc340f073c07ea2 | [
"0BSD"
] | 29 | 2015-02-13T14:08:23.000Z | 2021-12-17T03:17:40.000Z | # -*- coding: utf-8 -*-
'''
gds.burp.api
~~~~~~~~~~~~
This module implements the Jython Burp Plugin API.
Plugins written in Jython can implement the interfaces in this
package in order to register for various methods exposed by
Burp Extender.
'''
__all__ = [
'INewScanIssueHandler',
'IExtenderRequestHandler'... | 27.595308 | 71 | 0.679809 | # -*- coding: utf-8 -*-
'''
gds.burp.api
~~~~~~~~~~~~
This module implements the Jython Burp Plugin API.
Plugins written in Jython can implement the interfaces in this
package in order to register for various methods exposed by
Burp Extender.
'''
from .core import Interface
__all__ = [
'INewScanIssueHandler',
... | 0 | 0 | 0 | 8,191 | 0 | 0 | 0 | 6 | 413 |
1243bbe5c8b07ce563c0e5bf91f426e6d0292391 | 65,985 | py | Python | nitropyapp/ui/mainwindowtest.py | Nitrokey/nitrokey-app2 | ab66bbceb854e1f18987b0331528e86e3e7ff702 | [
"Apache-2.0"
] | 1 | 2021-11-23T12:54:35.000Z | 2021-11-23T12:54:35.000Z | nitropyapp/ui/mainwindowtest.py | Nitrokey/nitrokey-app2 | ab66bbceb854e1f18987b0331528e86e3e7ff702 | [
"Apache-2.0"
] | null | null | null | nitropyapp/ui/mainwindowtest.py | Nitrokey/nitrokey-app2 | ab66bbceb854e1f18987b0331528e86e3e7ff702 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'mainwindowtest.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
| 65.46131 | 406 | 0.736576 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'mainwindowtest.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCor... | 0 | 0 | 0 | 65,601 | 0 | 0 | 0 | 19 | 68 |
45b79edc02fd781ca28eb52676d72c73c84cd286 | 452 | py | Python | src/worker/__init__.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | 1 | 2019-06-17T17:01:17.000Z | 2019-06-17T17:01:17.000Z | src/worker/__init__.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | 7 | 2021-02-08T20:46:15.000Z | 2021-09-08T02:12:59.000Z | src/worker/__init__.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | null | null | null | #!/usr/bin/python
#-*- coding: utf-8 -*-
""".. module:: blueprints """
| 23.789474 | 52 | 0.575221 | #!/usr/bin/python
#-*- coding: utf-8 -*-
""".. module:: blueprints """
import json
from flask import request, abort, current_app
def auth_required(func):
def check_auth(*args, **kwargs):
try:
token = request.cookies.get('token'),
if token != current_app.config['token']:
... | 0 | 0 | 0 | 0 | 0 | 298 | 0 | 14 | 68 |
037089f36a7441ea98b0f35ec71d28ad247195e7 | 917 | py | Python | apiview_viewset_with_models/permissions.py | arabindamahato/DjangoREST_API_DRF | 5292f47c4f29e64de4b5c15dc254a892b2661639 | [
"MIT"
] | null | null | null | apiview_viewset_with_models/permissions.py | arabindamahato/DjangoREST_API_DRF | 5292f47c4f29e64de4b5c15dc254a892b2661639 | [
"MIT"
] | 4 | 2021-03-19T01:51:07.000Z | 2021-09-22T18:52:10.000Z | apiview_viewset_with_models/permissions.py | arabindamahato/DjangoREST_API_DRF | 5292f47c4f29e64de4b5c15dc254a892b2661639 | [
"MIT"
] | null | null | null |
'''
If the name is arabinda then allow all methods If the name is not arabinda and the name
contains even number of characters then allow only SAFE_METHODS otherwise not allowed
to perform any operation.
'''
| 24.131579 | 88 | 0.742639 | from rest_framework.permissions import BasePermission, SAFE_METHODS
class IsReadOnly(BasePermission):
def has_permission(self, request, view):
if request.method in SAFE_METHODS:
return True
else:
return False
class IsGetOrPatch(BasePermission):
def has_permission(self, request, view):
allowed_methods ... | 0 | 0 | 0 | 565 | 0 | 0 | 0 | 46 | 90 |
bad2d5229202ece78e93c204d8d954bec36390b7 | 552 | py | Python | python/nRF2401/__init__.py | natdan/AVR-Bootloaders | f01768fe1b6f3f2ba2602bfaef155a87afae0937 | [
"Apache-2.0"
] | 3 | 2018-02-13T21:39:55.000Z | 2018-04-26T18:17:39.000Z | python/nRF2401/__init__.py | natdan/AVR-Bootloaders | f01768fe1b6f3f2ba2602bfaef155a87afae0937 | [
"Apache-2.0"
] | null | null | null | python/nRF2401/__init__.py | natdan/AVR-Bootloaders | f01768fe1b6f3f2ba2602bfaef155a87afae0937 | [
"Apache-2.0"
] | null | null | null | #################################################################################
# Copyright (c) 2018 Creative Sphere Limited.
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License v2.0
# which accompanies this distribution, and is available at
# ... | 39.428571 | 81 | 0.541667 | #################################################################################
# Copyright (c) 2018 Creative Sphere Limited.
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License v2.0
# which accompanies this distribution, and is available at
# ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 23 |
6c688764869b16c1adb550bc52167a7ee9753b4b | 84 | py | Python | scripts/test12.py | spencerparkin/MathTree | 4aa286248c2dc6a34ad2ef3e56d48b60838f3b72 | [
"MIT"
] | null | null | null | scripts/test12.py | spencerparkin/MathTree | 4aa286248c2dc6a34ad2ef3e56d48b60838f3b72 | [
"MIT"
] | null | null | null | scripts/test12.py | spencerparkin/MathTree | 4aa286248c2dc6a34ad2ef3e56d48b60838f3b72 | [
"MIT"
] | null | null | null | # test12.py
a = _n('a')
b = _n('b')
c = _n('c')
root = a + a + a^b + b^a + a^(b|c) | 12 | 34 | 0.392857 | # test12.py
a = _n('a')
b = _n('b')
c = _n('c')
root = a + a + a^b + b^a + a^(b|c) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8302c64afce11bb6a7c70e83a8cef5c89491def6 | 16,644 | py | Python | adamspy/postprocess/ppt.py | bthornton191/Adams_Modules | e5473c6dc194148353cefb9964ad2081e79741d7 | [
"MIT"
] | 5 | 2019-07-01T01:38:44.000Z | 2020-05-18T00:56:41.000Z | adamspy/postprocess/ppt.py | bthornton191/Adams_Modules | e5473c6dc194148353cefb9964ad2081e79741d7 | [
"MIT"
] | 4 | 2020-03-24T16:55:01.000Z | 2021-03-20T00:44:18.000Z | adamspy/postprocess/ppt.py | bthornton191/adamspy | e5473c6dc194148353cefb9964ad2081e79741d7 | [
"MIT"
] | null | null | null | """This module is for sending scripts through Adams/PPT
"""
import os
import subprocess
import re
import time
import platform
import jinja2
from numpy import genfromtxt
from thornpy.signal import manually_clean_sig, remove_data_point, manually_clean_sigs, low_pass
from thornpy.signal import _clean_sig as clean_sig
... | 39.070423 | 259 | 0.665765 | """This module is for sending scripts through Adams/PPT
"""
import os
import subprocess
import re
import time
import platform
import jinja2
from numpy import genfromtxt
import matplotlib.pyplot as plt
from thornpy.signal import manually_clean_sig, remove_data_point, manually_clean_sigs, low_pass
from thornpy.signal i... | 0 | 0 | 0 | 97 | 0 | 3,928 | 0 | 10 | 141 |
1b93c694f6d898cd16deab7c152e24c19de63302 | 3,375 | py | Python | middleware.py | CloudCIX/framework | 321b4b953a2b2083c069fff133e538ea1ecca4a7 | [
"Apache-2.0"
] | null | null | null | middleware.py | CloudCIX/framework | 321b4b953a2b2083c069fff133e538ea1ecca4a7 | [
"Apache-2.0"
] | null | null | null | middleware.py | CloudCIX/framework | 321b4b953a2b2083c069fff133e538ea1ecca4a7 | [
"Apache-2.0"
] | null | null | null | """
Move this to wherever once we establish a setup for the Application Framework
"""
from typing import Callable
from django.http.response import HttpResponseBase
from rest_framework.request import Request
GetResponseType = Callable[[Request], HttpResponseBase]
| 38.352273 | 116 | 0.670519 | """
Move this to wherever once we establish a setup for the Application Framework
"""
import re
from collections import deque
from typing import Callable, Deque
from time import perf_counter
from cloudcix_metrics import prepare_metrics
from django.http.response import HttpResponseBase
from rest_framework.request impor... | 0 | 0 | 0 | 2,841 | 0 | 0 | 0 | 88 | 180 |
5964a3e664b876222f49cd0a42cdf3eea5b32fd9 | 1,505 | py | Python | pyirc.py | Psyrens/pyirc | 4a7a8dde72108bf7a9bc181e4da8315ecbb31eac | [
"Apache-2.0"
] | null | null | null | pyirc.py | Psyrens/pyirc | 4a7a8dde72108bf7a9bc181e4da8315ecbb31eac | [
"Apache-2.0"
] | null | null | null | pyirc.py | Psyrens/pyirc | 4a7a8dde72108bf7a9bc181e4da8315ecbb31eac | [
"Apache-2.0"
] | null | null | null |
while True:
choc = str(input("[1] Host\n[2] Connect\n[0] Exit\n"))
if choc == '1':
hirc()
elif choc == '2':
circ()
elif choc == '0':
exit(0)
else:
print("wrong input, try again")
| 25.948276 | 90 | 0.568771 | from socket import *
def hirc():
username = input("username: ")
ip = input("ip: ")
port = input("port: ")
s = socket(2, 1)
try:
s.bind((str(ip), int(port)))
s.listen(10)
print("listening on " + str(ip) + " through port " + str(port))
c, addr = s.accept()
print("connected to " + str(addr[0]) + " through ... | 0 | 0 | 0 | 0 | 0 | 1,245 | 0 | -1 | 68 |
e78c346f257ad43b5df6948913c28611c88332ec | 2,345 | py | Python | src/inference/__init__.py | DecBayComp/tramway-tour | d0ac3e3fdc2c3a6110941ab6e251e4e4fc0375a3 | [
"0BSD"
] | null | null | null | src/inference/__init__.py | DecBayComp/tramway-tour | d0ac3e3fdc2c3a6110941ab6e251e4e4fc0375a3 | [
"0BSD"
] | null | null | null | src/inference/__init__.py | DecBayComp/tramway-tour | d0ac3e3fdc2c3a6110941ab6e251e4e4fc0375a3 | [
"0BSD"
] | null | null | null |
from ..data import project_dir
datafile = project_dir / 'data/Image_traj.txt'
| 26.348315 | 87 | 0.637527 | from tramway.analyzer import *
import numpy as np
import pandas as pd
from ..data import project_dir
datafile = project_dir / 'data/Image_traj.txt'
def reset_data():
import os
rwa_file = os.path.splitext(str(datafile))[0]+'.rwa'
try:
os.unlink(rwa_file)
except FileNotFoundError:
pass
... | 6 | 0 | 0 | 0 | 0 | 2,100 | 0 | 4 | 158 |
57abae4fea2a1eb0b1d9a72b06df545edebc3f4e | 1,859 | py | Python | api/tests/integration/tests/basic/reaction_instrumentation.py | tsingdao-Tp/Indigo | b2d73faebb6a450e9b3d34fed553fad4f9d0012f | [
"Apache-2.0"
] | 204 | 2015-11-06T21:34:34.000Z | 2022-03-30T16:17:01.000Z | api/tests/integration/tests/basic/reaction_instrumentation.py | tsingdao-Tp/Indigo | b2d73faebb6a450e9b3d34fed553fad4f9d0012f | [
"Apache-2.0"
] | 509 | 2015-11-05T13:54:43.000Z | 2022-03-30T22:15:30.000Z | api/tests/integration/tests/basic/reaction_instrumentation.py | tsingdao-Tp/Indigo | b2d73faebb6a450e9b3d34fed553fad4f9d0012f | [
"Apache-2.0"
] | 89 | 2015-11-17T08:22:54.000Z | 2022-03-17T04:26:28.000Z | import os
import sys
sys.path.append(os.path.normpath(os.path.join(os.path.abspath(__file__), '..', '..', '..', "common")))
indigo = Indigo()
indigo.setOption("molfile-saving-skip-date", "1")
testReactionInstrumentation()
| 39.553191 | 102 | 0.661646 | import os
import sys
sys.path.append(os.path.normpath(os.path.join(os.path.abspath(__file__), '..', '..', '..', "common")))
from env_indigo import *
indigo = Indigo()
indigo.setOption("molfile-saving-skip-date", "1")
def testReactionInstrumentation ():
rxn = indigo.loadReaction("[PH5].CN>CC>")
rxn.addReactant... | 0 | 0 | 0 | 0 | 0 | 1,581 | 0 | 3 | 45 |
b69f0ff0899bd61bd2f6bd0ca491ed121c2beea4 | 325 | py | Python | exercicios_pyhton/leia_int_leia_fload/teste.py | wcalazans81/cursoemvideo_de_python | b3f093477407d4936b87907910c85472fea98469 | [
"MIT"
] | null | null | null | exercicios_pyhton/leia_int_leia_fload/teste.py | wcalazans81/cursoemvideo_de_python | b3f093477407d4936b87907910c85472fea98469 | [
"MIT"
] | null | null | null | exercicios_pyhton/leia_int_leia_fload/teste.py | wcalazans81/cursoemvideo_de_python | b3f093477407d4936b87907910c85472fea98469 | [
"MIT"
] | null | null | null | try:
a = int(input('digite um valor'))
b = int(input('di'))
r = a / b
except (ValueError, TypeError):
print('Houve um problema com dados digitados!')
except KeyboardInterrupt:
print('preferio no continuar')
else:
print(f'o resultado {r:.2f:}')
finally:
print('Volte sempre! Muito obrigado!'... | 21.666667 | 51 | 0.643077 | try:
a = int(input('digite um valor'))
b = int(input('di'))
r = a / b
except (ValueError, TypeError):
print('Houve um problema com dados digitados!')
except KeyboardInterrupt:
print('preferio não continuar')
else:
print(f'o resultado é {r:.2f:}')
finally:
print('Volte sempre! Muito obrigado... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2913f9c1c1150f1df6a7a978fb35f0784fed07d3 | 970 | py | Python | mydays/homeinventory-orm/data_models.py | feoh/100daysofcode-with-python-course | 35ee1d8181b80e5bcb28af59e8d81e90095ee784 | [
"MIT"
] | null | null | null | mydays/homeinventory-orm/data_models.py | feoh/100daysofcode-with-python-course | 35ee1d8181b80e5bcb28af59e8d81e90095ee784 | [
"MIT"
] | null | null | null | mydays/homeinventory-orm/data_models.py | feoh/100daysofcode-with-python-course | 35ee1d8181b80e5bcb28af59e8d81e90095ee784 | [
"MIT"
] | null | null | null | from sqlalchemy.ext.declarative import declarative_base
ModelBase = declarative_base()
| 30.3125 | 77 | 0.689691 | from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
ModelBase = declarative_base()
class Room(ModelBase):
__tablename__ = "rooms"
id = Column(Integer, primary_key=True)
name = Column(String, nullable=Fal... | 0 | 0 | 0 | 736 | 0 | 0 | 0 | 55 | 90 |
b6697cf64cf136ce5293e73907be72df94015a5a | 3,006 | py | Python | atomdata.py | fsponciano/HPB_tools | 845e3fdf2cc0c1b3b93123ea0ca718c5b8406cf3 | [
"MIT"
] | null | null | null | atomdata.py | fsponciano/HPB_tools | 845e3fdf2cc0c1b3b93123ea0ca718c5b8406cf3 | [
"MIT"
] | null | null | null | atomdata.py | fsponciano/HPB_tools | 845e3fdf2cc0c1b3b93123ea0ca718c5b8406cf3 | [
"MIT"
] | null | null | null | """ --- Atom data ---
Written by D. J. Whiting (2017)
** Modified by F. S. Ponciano Ojeda (2021) **
Quantum Light & Matter Group, Durham University, UK
Simple database for housing atomic species data for use in calculations of
energy levels.
"""
def atomic_structure_coefficients(atom,I,L,J):
'''
... | 33.032967 | 78 | 0.401863 | """ --- Atom data ---
Written by D. J. Whiting (2017)
** Modified by F. S. Ponciano Ojeda (2021) **
Quantum Light & Matter Group, Durham University, UK
Simple database for housing atomic species data for use in calculations of
energy levels.
"""
def atomic_structure_coefficients(atom,I,L,J):
'''
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7ceed2a1f72286660c32d46a8d902c63ac35caf7 | 2,596 | py | Python | solar_system/main.py | 0xzhang/taichi-play | f3285f3db235035bf5cff39938e546138317cd70 | [
"MIT"
] | 4 | 2021-10-02T07:12:14.000Z | 2022-02-17T05:51:12.000Z | solar_system/main.py | 0xzhang/taichi-play | f3285f3db235035bf5cff39938e546138317cd70 | [
"MIT"
] | null | null | null | solar_system/main.py | 0xzhang/taichi-play | f3285f3db235035bf5cff39938e546138317cd70 | [
"MIT"
] | 1 | 2022-02-17T05:51:11.000Z | 2022-02-17T05:51:11.000Z | import taichi as ti
ti.init(arch=ti.gpu)
if __name__ == "__main__":
main() | 28.844444 | 77 | 0.607858 | import taichi as ti
from solar_system import SolarSystem, Sun, Planet
from datetime import datetime
ti.init(arch=ti.gpu)
def init_solarsystem():
sun = Sun(0.2)
ss = SolarSystem(sun)
sun.initialize(ti.Vector([1, 0, 0]))
# 2018-01-01
ss.date = datetime.strptime("2018-01-01", '%Y-%m-%d').date()
... | 0 | 0 | 0 | 0 | 0 | 2,387 | 0 | 36 | 90 |
ff7e81e102507c4497d7b7914010c6b208c9cea5 | 4,655 | py | Python | tests/unit/test_algorithm.py | benjaminkaplanphd/traveling-salesperson | 5c788554fe90eeb81b6351aeec96f1d64caa7591 | [
"MIT"
] | null | null | null | tests/unit/test_algorithm.py | benjaminkaplanphd/traveling-salesperson | 5c788554fe90eeb81b6351aeec96f1d64caa7591 | [
"MIT"
] | null | null | null | tests/unit/test_algorithm.py | benjaminkaplanphd/traveling-salesperson | 5c788554fe90eeb81b6351aeec96f1d64caa7591 | [
"MIT"
] | null | null | null | """
Unit tests for the algorithm.py module
"""
# pragma pylint: disable=redefined-outer-name
import numpy as np
from traveling_salesperson import algorithm
def test_nearest_neighbor_path_returns_expected_path(sub_optimal_path_fixture,
pyramid_distance_matrix_fi... | 42.706422 | 100 | 0.612245 | """
Unit tests for the algorithm.py module
"""
# pragma pylint: disable=redefined-outer-name
import numpy as np
import pytest
from traveling_salesperson import algorithm
@pytest.fixture()
def pyramid_distance_matrix_fixture():
r"""A distance matrix, corresponding to a lopsided pyramid,
for testing the neares... | 0 | 1,598 | 0 | 0 | 0 | 0 | 0 | -8 | 137 |
c51bddc364ce33d4504970da44a3ed490f7192ac | 6,104 | py | Python | ports/esp32/modules/hw_utils.py | tempstabilizer2018group/micropython_esp32 | 0bc16f1954a65adb9ad01578004744d424ef0c27 | [
"MIT"
] | null | null | null | ports/esp32/modules/hw_utils.py | tempstabilizer2018group/micropython_esp32 | 0bc16f1954a65adb9ad01578004744d424ef0c27 | [
"MIT"
] | null | null | null | ports/esp32/modules/hw_utils.py | tempstabilizer2018group/micropython_esp32 | 0bc16f1954a65adb9ad01578004744d424ef0c27 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import gc
import uos
import hw_urequests
import machine
import portable_firmware_constants
strMAC = ''.join(['%02X'%i for i in machine.unique_id()])
#
# Watchdog
#
objWdt = None
feedWatchdog = lambda: None
'''True if power on. False if reboot by software or watchdog.'''
bPowerOnBoot = machi... | 25.647059 | 176 | 0.717071 | # -*- coding: utf-8 -*-
import gc
import uos
import utime
import hw_urequests
import machine
import portable_firmware_constants
strMAC = ''.join(['%02X'%i for i in machine.unique_id()])
#
# Watchdog
#
objWdt = None
feedWatchdog = lambda: None
'''True if power on. False if reboot by software or watchdog.'''
bPowerO... | 0 | 0 | 0 | 1,468 | 0 | 1,398 | 0 | -9 | 316 |
9e116ca2287be4b26e9927d7c53033ee159c6e05 | 7,047 | py | Python | netapp/santricity/models/symbol/rtr_attributes.py | NetApp/santricity-webapi-pythonsdk | 1d3df4a00561192f4cdcdd1890f4d27547ed2de2 | [
"BSD-3-Clause-Clear"
] | 5 | 2016-08-23T17:52:22.000Z | 2019-05-16T08:45:30.000Z | netapp/santricity/models/symbol/rtr_attributes.py | NetApp/santricity-webapi-pythonsdk | 1d3df4a00561192f4cdcdd1890f4d27547ed2de2 | [
"BSD-3-Clause-Clear"
] | 2 | 2016-11-10T05:30:21.000Z | 2019-04-05T15:03:37.000Z | netapp/santricity/models/symbol/rtr_attributes.py | NetApp/santricity-webapi-pythonsdk | 1d3df4a00561192f4cdcdd1890f4d27547ed2de2 | [
"BSD-3-Clause-Clear"
] | 7 | 2016-08-25T16:11:44.000Z | 2021-02-22T05:31:25.000Z | # coding: utf-8
"""
RTRAttributes.py
The Clear BSD License
Copyright (c) 2016, NetApp, Inc. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met:
*... | 38.298913 | 844 | 0.639563 | # coding: utf-8
"""
RTRAttributes.py
The Clear BSD License
Copyright (c) – 2016, NetApp, Inc. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met:
... | 3 | 2,639 | 0 | 2,641 | 0 | 0 | 0 | 9 | 68 |
e863de41a399ceaed49791d306754ebb714ed1ab | 1,353 | py | Python | agent_training.py | eym55/power_grid_sim | 35822a2d2f09c00a38841e0bf3395bc5ea0ddbaa | [
"MIT"
] | 1 | 2022-01-26T15:19:15.000Z | 2022-01-26T15:19:15.000Z | agent_training.py | eym55/power_grid_sim | 35822a2d2f09c00a38841e0bf3395bc5ea0ddbaa | [
"MIT"
] | null | null | null | agent_training.py | eym55/power_grid_sim | 35822a2d2f09c00a38841e0bf3395bc5ea0ddbaa | [
"MIT"
] | null | null | null | import ray
#Import any agents you want to train, list found here: https://docs.ray.io/en/latest/rllib/rllib-algorithms.html
from ray.rllib.agents import dqn
from environments.defender_game import PowerGrid
import pypsa
import numpy as np
import time
from ray.tune.logger import pretty_print
from agents import RandomAgen... | 25.055556 | 112 | 0.717664 | import gym, ray
#Import any agents you want to train, list found here: https://docs.ray.io/en/latest/rllib/rllib-algorithms.html
from ray.rllib.agents import ppo,dqn,a3c
from environments.defender_game import PowerGrid
import pypsa
import numpy as np
from ray.tune.registry import register_env
import pickle
import time
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 44 |
6ac7be1fd3253acff69b48cbe8419a293101969a | 467 | py | Python | Python/math/mod_sqrt.py | NatsubiSogan/comp_library | 9f06d947951db40e051bd506fd8722fb75c3688b | [
"Apache-2.0"
] | 2 | 2021-09-05T13:17:01.000Z | 2021-09-05T13:17:06.000Z | Python/math/mod_sqrt.py | NatsubiSogan/comp_library | 9f06d947951db40e051bd506fd8722fb75c3688b | [
"Apache-2.0"
] | null | null | null | Python/math/mod_sqrt.py | NatsubiSogan/comp_library | 9f06d947951db40e051bd506fd8722fb75c3688b | [
"Apache-2.0"
] | null | null | null |
# mod-sqrt | 21.227273 | 42 | 0.423983 | import random
# mod-sqrt
def mod_sqrt(a: int, p: int) -> int:
if a == 0: return 0
if p == 2: return 1
k = (p - 1) // 2
if pow(a, k, p) != 1: return -1
while True:
n = random.randint(2, p - 1)
r = (n ** 2 - a) % p
if r == 0: return n
if pow(r, k, p) == p - 1: break
k += 1
w, x, y, z = n, 1, 1, 0
while k... | 0 | 0 | 0 | 0 | 0 | 420 | 0 | -8 | 44 |
138bb55fa6c8950896b53a74ca9ec35fea63f4c4 | 21,762 | py | Python | src/load_cvs/cvload.py | ODM2/ODM2 | a474e20718f69cac3214c3fc3cb2eb2a410e22aa | [
"BSD-3-Clause"
] | 39 | 2015-07-13T15:03:32.000Z | 2021-12-13T21:17:40.000Z | src/load_cvs/cvload.py | ODM2/ODM2 | a474e20718f69cac3214c3fc3cb2eb2a410e22aa | [
"BSD-3-Clause"
] | 77 | 2015-04-27T21:43:20.000Z | 2020-08-11T03:03:36.000Z | src/load_cvs/cvload.py | ODM2/ODM2 | a474e20718f69cac3214c3fc3cb2eb2a410e22aa | [
"BSD-3-Clause"
] | 18 | 2015-08-11T21:52:21.000Z | 2021-05-17T18:23:05.000Z | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import sys
# Supporting Python3
try:
import urllib.request as request
except ImportError:
import urllib as request
import xml.etree.ElementTree as ET
# ######################################################################... | 39.711679 | 144 | 0.614006 | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import sys
# Supporting Python3
try:
import urllib.request as request
except ImportError:
import urllib as request
import xml.etree.ElementTree as ET
import argparse
import pymysql
import pyodbc
import psycopg2
# ###... | 0 | 0 | 0 | 14,010 | 0 | 941 | 0 | -10 | 913 |
4c56c7968b1478675e4c35cdac29eb5ac742a750 | 3,837 | py | Python | pymanopt/autodiff/backends/_pytorch.py | NoemieJaquier/pymanopt | f3ae54b5ebc648a193e64acdb75c97885391c3d7 | [
"BSD-3-Clause"
] | null | null | null | pymanopt/autodiff/backends/_pytorch.py | NoemieJaquier/pymanopt | f3ae54b5ebc648a193e64acdb75c97885391c3d7 | [
"BSD-3-Clause"
] | null | null | null | pymanopt/autodiff/backends/_pytorch.py | NoemieJaquier/pymanopt | f3ae54b5ebc648a193e64acdb75c97885391c3d7 | [
"BSD-3-Clause"
] | null | null | null | """
Module containing functions to differentiate functions using pytorch.
"""
try:
import torch
except ImportError:
torch = None
else:
from .. import make_tracing_backend_decorator
PyTorch = make_tracing_backend_decorator(_PyTorchBackend)
| 35.859813 | 79 | 0.63852 | """
Module containing functions to differentiate functions using pytorch.
"""
import functools
import warnings
import numpy as np
try:
import torch
except ImportError:
torch = None
else:
from torch import autograd
from ._backend import Backend
from .. import make_tracing_backend_decorator
from ...tools im... | 0 | 2,874 | 0 | 498 | 0 | 0 | 0 | 54 | 161 |
1c37bc84fb69610331ac21e64650183042302f84 | 2,438 | py | Python | Organise-Files-According-To-Their-Extensions/script_dirs.py | A-kriti/Amazing-Python-Scripts | ebf607fe39e6d9e61f30ec3439fc8d6ab1f736b9 | [
"MIT"
] | 930 | 2020-09-05T22:07:28.000Z | 2022-03-30T07:56:18.000Z | Organise-Files-According-To-Their-Extensions/script_dirs.py | maheshdbabar9340/Amazing-Python-Scripts | e2272048cbe49b4bda5072bbdd8479739bb6c18d | [
"MIT"
] | 893 | 2020-09-04T07:57:24.000Z | 2022-02-08T02:12:26.000Z | Organise-Files-According-To-Their-Extensions/script_dirs.py | maheshdbabar9340/Amazing-Python-Scripts | e2272048cbe49b4bda5072bbdd8479739bb6c18d | [
"MIT"
] | 497 | 2020-09-05T08:16:24.000Z | 2022-03-31T00:55:57.000Z | import os
from pathlib import Path
import sys
# Taking input
print_string = """
Type Path of the directory
OR
Press enter for running the script on current directory:
OR
Type quit
"""
print(print_string + "\n\n")
input_path = input("Input:")
print("\n\n")
# Script will terminate if input is 'quit'
if input_path == "q... | 31.25641 | 118 | 0.684988 | import os
from pathlib import Path
import sys
# Taking input
print_string = """
Type Path of the directory
OR
Press enter for running the script on current directory:
OR
Type quit
"""
print(print_string + "\n\n")
input_path = input("Input:")
print("\n\n")
# Script will terminate if input is 'quit'
if input_path == "q... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5b238bc281f162f7e937c41dc61c9bf5d6246f5d | 7,586 | py | Python | main.py | Nebula4869/seu-auto-health-check-in | 70d7e8fab352d616e0299a492957b2a17e56fd4f | [
"MIT"
] | null | null | null | main.py | Nebula4869/seu-auto-health-check-in | 70d7e8fab352d616e0299a492957b2a17e56fd4f | [
"MIT"
] | 1 | 2021-11-11T06:58:40.000Z | 2021-11-11T06:58:40.000Z | main.py | Nebula4869/seu-auto-health-check-in | 70d7e8fab352d616e0299a492957b2a17e56fd4f | [
"MIT"
] | null | null | null | import time
from selenium import webdriver
from selenium import common
import func_timeout
import datetime
import logging
import sys
import os
MAX_RETRIES = 0
def send_massage(content: str):
"""
/
:param content:
:return: None
"""
# TODO: /
logger.info(content)
... | 35.615023 | 184 | 0.60928 | import time
from selenium import webdriver
from selenium import common
import func_timeout
import datetime
import requests
import logging
import zipfile
import winreg
import sys
import os
MAX_RETRIES = 0
def send_massage(content: str):
"""
发送短信/邮件
:param content: 邮件内容
:return... | 915 | 3,269 | 0 | 0 | 0 | 0 | 0 | -21 | 119 |
d29bcdb8b1f78c5c097ab0032be5256583012fd3 | 392 | py | Python | users/migrations/0003_auto_20200803_1949.py | asanka9/Donation-Project | 7182ccad58bd6e61ccc29b79bbab28e428ed2a17 | [
"Apache-2.0"
] | null | null | null | users/migrations/0003_auto_20200803_1949.py | asanka9/Donation-Project | 7182ccad58bd6e61ccc29b79bbab28e428ed2a17 | [
"Apache-2.0"
] | null | null | null | users/migrations/0003_auto_20200803_1949.py | asanka9/Donation-Project | 7182ccad58bd6e61ccc29b79bbab28e428ed2a17 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.5 on 2020-08-03 14:19
| 20.631579 | 47 | 0.59949 | # Generated by Django 3.0.5 on 2020-08-03 14:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0002_auto_20200803_0900'),
]
operations = [
migrations.AlterField(
model_name='profile',
name='user_descrip... | 0 | 0 | 0 | 278 | 0 | 0 | 0 | 19 | 46 |
a5ae6b2ca16dd14e888d229c983beda49888f2d0 | 7,950 | py | Python | code/socialDistribution/tests/test_models.py | CMPUT404F21TEAM/social-distribution | c6775bfa3bf93025d426bc4601431128a51d4c48 | [
"W3C-20150513"
] | null | null | null | code/socialDistribution/tests/test_models.py | CMPUT404F21TEAM/social-distribution | c6775bfa3bf93025d426bc4601431128a51d4c48 | [
"W3C-20150513"
] | 173 | 2021-09-30T00:12:03.000Z | 2021-12-09T00:32:46.000Z | code/socialDistribution/tests/test_models.py | CMPUT404F21TEAM/social-distribution | c6775bfa3bf93025d426bc4601431128a51d4c48 | [
"W3C-20150513"
] | 3 | 2021-12-09T01:27:49.000Z | 2022-03-11T06:04:16.000Z | # python manage.py test api.tests.tests.test_models
| 33.544304 | 140 | 0.67522 | # python manage.py test api.tests.tests.test_models
from django.test import TestCase, TransactionTestCase
from django.contrib.auth.models import User
from django.db.utils import IntegrityError
from django.test.testcases import LiveServerTestCase, LiveServerThread
from mixer.backend.django import mixer
from datetime i... | 0 | 585 | 0 | 6,752 | 0 | 0 | 0 | 219 | 338 |
f71fca6c7b717f1271683d16d11ce61370e99869 | 2,628 | py | Python | Apps/phforescoutcounteract/forescoutcounteract_consts.py | ryanbsaunders/phantom-apps | 1befda793a08d366fbd443894f993efb1baf9635 | [
"Apache-2.0"
] | 74 | 2019-10-22T02:00:53.000Z | 2022-03-15T12:56:13.000Z | Apps/phforescoutcounteract/forescoutcounteract_consts.py | ryanbsaunders/phantom-apps | 1befda793a08d366fbd443894f993efb1baf9635 | [
"Apache-2.0"
] | 375 | 2019-10-22T20:53:50.000Z | 2021-11-09T21:28:43.000Z | Apps/phforescoutcounteract/forescoutcounteract_consts.py | ryanbsaunders/phantom-apps | 1befda793a08d366fbd443894f993efb1baf9635 | [
"Apache-2.0"
] | 175 | 2019-10-23T15:30:42.000Z | 2021-11-05T21:33:31.000Z | # File: forescoutcounteract_consts.py
# Copyright (c) 2018-2021 Splunk Inc.
#
# Licensed under Apache 2.0 (https://www.apache.org/licenses/LICENSE-2.0.txt)
#
# --
# Define your constants here
FS_DEX_HOST_ENDPOINT = '/fsapi/niCore/Hosts'
FS_DEX_LIST_ENDPOINT = '/fsapi/niCore/Lists'
FS_DEX_TEST_CONNECTIVITY = \
"""... | 36.5 | 117 | 0.619102 | # File: forescoutcounteract_consts.py
# Copyright (c) 2018-2021 Splunk Inc.
#
# Licensed under Apache 2.0 (https://www.apache.org/licenses/LICENSE-2.0.txt)
#
# --
# Define your constants here
FS_DEX_HOST_ENDPOINT = '/fsapi/niCore/Hosts'
FS_DEX_LIST_ENDPOINT = '/fsapi/niCore/Lists'
FS_DEX_TEST_CONNECTIVITY = \
"""... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
58ea3a89d749ffe3fc11bef9fbc1ff02d402159e | 111 | py | Python | pocovidnet/pocovidnet/__init__.py | sbaktha/covid19_pocus_ultrasound | 876558a118c7afbe7a520efcc07581af6f8ffbb2 | [
"MIT"
] | null | null | null | pocovidnet/pocovidnet/__init__.py | sbaktha/covid19_pocus_ultrasound | 876558a118c7afbe7a520efcc07581af6f8ffbb2 | [
"MIT"
] | null | null | null | pocovidnet/pocovidnet/__init__.py | sbaktha/covid19_pocus_ultrasound | 876558a118c7afbe7a520efcc07581af6f8ffbb2 | [
"MIT"
] | null | null | null | from .model import get_cam_model, get_model
MODEL_FACTORY = {'vgg_base': get_model, 'vgg_cam': get_cam_model}
| 27.75 | 65 | 0.783784 | from .model import get_cam_model, get_model
MODEL_FACTORY = {'vgg_base': get_model, 'vgg_cam': get_cam_model}
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fb30c68225ff4cb29b410c7a04cb4eb7cd493066 | 243 | py | Python | students/K33421/laboratory_works/Dzhapua_Esnat/laboratory_work_1/task_1/client.py | esnogram/ITMO_ICT_WebDevelopment_2020-2021 | 22a3d776463d50431a5745facaf7b4d55dd73b55 | [
"MIT"
] | null | null | null | students/K33421/laboratory_works/Dzhapua_Esnat/laboratory_work_1/task_1/client.py | esnogram/ITMO_ICT_WebDevelopment_2020-2021 | 22a3d776463d50431a5745facaf7b4d55dd73b55 | [
"MIT"
] | null | null | null | students/K33421/laboratory_works/Dzhapua_Esnat/laboratory_work_1/task_1/client.py | esnogram/ITMO_ICT_WebDevelopment_2020-2021 | 22a3d776463d50431a5745facaf7b4d55dd73b55 | [
"MIT"
] | null | null | null | import socket
conn = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
conn.connect (("127.0.0.1", 14900))
hels = "Hello, server"
conn.send(bytes(hels, "utf-8"))
data = conn.recv(16384)
udata = data.decode("utf-8")
print(udata)
conn.close() | 20.25 | 56 | 0.703704 | import socket
conn = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
conn.connect (("127.0.0.1", 14900))
hels = "Hello, server"
conn.send(bytes(hels, "utf-8"))
data = conn.recv(16384)
udata = data.decode("utf-8")
print(udata)
conn.close() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
262de512c12b00516269ac71506a70c2a6b03971 | 1,926 | py | Python | cpstats/view.py | gye-tgm/cpstats | ab1b3bbabc4fe4dbeaffee23c79333b10b6775ed | [
"MIT"
] | null | null | null | cpstats/view.py | gye-tgm/cpstats | ab1b3bbabc4fe4dbeaffee23c79333b10b6775ed | [
"MIT"
] | null | null | null | cpstats/view.py | gye-tgm/cpstats | ab1b3bbabc4fe4dbeaffee23c79333b10b6775ed | [
"MIT"
] | null | null | null |
SUBNAV = [
'general',
'submissions',
'tasks',
'achievements'
]
| 32.1 | 110 | 0.597092 | from cpstats.models.model import VERDICT_AC, Task
from flask import render_template
from cpstats.models import model
from cpstats import app
@app.route('/')
@app.route('/index')
def index():
return render_template('index.html', title='Home')
SUBNAV = [
'general',
'submissions',
'tasks',
'achieveme... | 0 | 797 | 0 | 0 | 0 | 792 | 0 | 53 | 203 |
f40417cc6ec6b8a597aa679e0a71fc8f641c968f | 15,651 | py | Python | pineboolib/fllegacy/flreportviewer.py | juanjosepablos/pineboo | f6ce515aec6e0139821bb9c1d62536d9fb50dae4 | [
"MIT"
] | null | null | null | pineboolib/fllegacy/flreportviewer.py | juanjosepablos/pineboo | f6ce515aec6e0139821bb9c1d62536d9fb50dae4 | [
"MIT"
] | 1 | 2017-10-30T22:00:48.000Z | 2017-11-11T19:34:32.000Z | pineboolib/fllegacy/flreportviewer.py | juanjosepablos/pineboo | f6ce515aec6e0139821bb9c1d62536d9fb50dae4 | [
"MIT"
] | 1 | 2017-10-30T20:16:38.000Z | 2017-10-30T20:16:38.000Z | """Flreportviewer module."""
# from pineboolib.fllegacy.flpicture import FLPicture
AQ_USRHOME = "." # FIXME
| 31.053571 | 100 | 0.605776 | """Flreportviewer module."""
from PyQt5 import QtWidgets, QtCore, QtXml
from pineboolib.core import decorators
from pineboolib.application.qsatypes.sysbasetype import SysBaseType
from pineboolib.fllegacy.flutil import FLUtil
# from pineboolib.fllegacy.flpicture import FLPicture
from .flsqlquery import FLSqlQuery
fro... | 0 | 6,864 | 0 | 8,172 | 0 | 0 | 0 | 231 | 269 |
e155a2ee3108e7539d619edb6c746911caaffb13 | 4,995 | py | Python | text_to_num/lang/english.py | fquirin/text2num | 539c8bb70ecb3991e27220e93e0dcc2005cbe9ea | [
"MIT"
] | 55 | 2018-10-10T14:49:16.000Z | 2022-03-31T19:45:26.000Z | text_to_num/lang/english.py | fquirin/text2num | 539c8bb70ecb3991e27220e93e0dcc2005cbe9ea | [
"MIT"
] | 37 | 2018-10-12T01:04:16.000Z | 2022-03-17T09:17:22.000Z | text_to_num/lang/english.py | fquirin/text2num | 539c8bb70ecb3991e27220e93e0dcc2005cbe9ea | [
"MIT"
] | 27 | 2018-11-12T17:33:44.000Z | 2022-03-15T09:16:48.000Z | # MIT License
# Copyright (c) 2018-2019 Groupe Allo-Media
# 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 Software without restriction, including without limitation the rights
# to use, copy, modify... | 30.272727 | 98 | 0.647047 | # MIT License
# Copyright (c) 2018-2019 Groupe Allo-Media
# 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 Software without restriction, including without limitation the rights
# to use, copy, modify... | 0 | 0 | 0 | 2,005 | 0 | 0 | 0 | 22 | 46 |
275e86f75a011a705356e9c7db8c223789707e62 | 1,464 | py | Python | utils/generators/matrix_multiply.py | sgpthomas/diospyros | 27d4e5e5d4e56a6dc5860d7c7d5eefb27de24a5d | [
"MIT"
] | 27 | 2020-02-16T22:26:34.000Z | 2022-02-17T04:17:19.000Z | utils/generators/matrix_multiply.py | sgpthomas/diospyros | 27d4e5e5d4e56a6dc5860d7c7d5eefb27de24a5d | [
"MIT"
] | 77 | 2020-01-21T15:37:35.000Z | 2022-03-11T19:48:43.000Z | utils/generators/matrix_multiply.py | sgpthomas/diospyros | 27d4e5e5d4e56a6dc5860d7c7d5eefb27de24a5d | [
"MIT"
] | 1 | 2021-09-27T20:35:15.000Z | 2021-09-27T20:35:15.000Z | """
Matrix multiply generator. Generates an Eigen matrix multiply override kernel.
"""
| 26.142857 | 80 | 0.583333 | """
Matrix multiply generator. Generates an Eigen matrix multiply override kernel.
"""
def generator(kernel_name, params, spec_file):
input_rows = params["input_rows"]
input_cols = params["input_cols"]
output_cols = params["output_cols"]
# inject specification template with arguments
spec = "... | 0 | 0 | 0 | 0 | 0 | 1,349 | 0 | 0 | 23 |
8a516965d3efb4dbcb256edc310602cc80459db0 | 9,646 | py | Python | redash/query_runner/python.py | techscience9/redash | 32669b148ccba47b118c8d390031903a18b0253d | [
"BSD-2-Clause"
] | 3 | 2018-06-01T00:05:18.000Z | 2019-03-07T14:03:10.000Z | redash/query_runner/python.py | techscience9/redash | 32669b148ccba47b118c8d390031903a18b0253d | [
"BSD-2-Clause"
] | 6 | 2021-01-21T16:43:27.000Z | 2022-02-27T09:18:00.000Z | redash/query_runner/python.py | tradingfoe/redash-clone | 94065b8dce0e27f6f40a7adc2b99e078b03115b3 | [
"BSD-2-Clause"
] | 5 | 2018-06-02T11:12:44.000Z | 2020-05-13T18:34:33.000Z | import logging
logger = logging.getLogger(__name__)
register(Python)
| 34.45 | 141 | 0.611445 | import datetime
import importlib
import logging
import sys
from redash.query_runner import *
from redash.utils import json_dumps, json_loads
from redash import models
from RestrictedPython import compile_restricted
from RestrictedPython.Guards import safe_builtins
logger = logging.getLogger(__name__)
class CustomP... | 0 | 4,136 | 0 | 5,138 | 0 | 0 | 0 | 74 | 223 |
71735f8fa3170ee4f1070bc1e7bbea8132fee378 | 10,138 | py | Python | InvalidPassports/InvalidPassports.py | savvakrasava/odi_tools | 672cd5fd2bd2c48b7be5d945747edbaff0d1247c | [
"MIT"
] | null | null | null | InvalidPassports/InvalidPassports.py | savvakrasava/odi_tools | 672cd5fd2bd2c48b7be5d945747edbaff0d1247c | [
"MIT"
] | null | null | null | InvalidPassports/InvalidPassports.py | savvakrasava/odi_tools | 672cd5fd2bd2c48b7be5d945747edbaff0d1247c | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
'''
Created on 21 06 2019
@author: lukhnevsn
'''
#import packages
##############################################
from java.io import FileReader;
from java.sql import Types;
from java.net import Proxy, InetSocketAddress;
from okhttp3 import OkHttpClient, Request, Response;
from jarray impor... | 38.842912 | 262 | 0.650621 | #-*- coding: utf-8 -*-
'''
Created on 21 06 2019
@author: lukhnevsn
'''
#import packages
##############################################
from java.io import BufferedReader ,FileReader, IOException;
from java.sql import PreparedStatement,Connection,DriverManager,SQLException,Statement,Types, ResultSet;
from java.n... | 0 | 0 | 0 | 0 | 0 | 769 | 0 | 321 | 223 |
165e045e914f6250cb2bec371c5b5d7ec48cd7c9 | 121 | py | Python | my_utilize/my_yield.py | FengJunJian/tutorials_for_demo | 36ab749241193aeb17dec14d0c7503d858c84f8e | [
"Apache-2.0"
] | null | null | null | my_utilize/my_yield.py | FengJunJian/tutorials_for_demo | 36ab749241193aeb17dec14d0c7503d858c84f8e | [
"Apache-2.0"
] | null | null | null | my_utilize/my_yield.py | FengJunJian/tutorials_for_demo | 36ab749241193aeb17dec14d0c7503d858c84f8e | [
"Apache-2.0"
] | null | null | null |
fun=generator()
fun.__next__() | 13.444444 | 24 | 0.520661 |
def generator():
for i in range(5):
print('next',i)
yield i
fun=generator()
fun.__next__() | 0 | 0 | 0 | 0 | 61 | 0 | 0 | 0 | 25 |
0c5c7fd38a2d0e9f0be6a523befaf9e1f678032f | 3,944 | py | Python | intprim/util/visualization.py | carlos-cardoso/intprim | cf6d83996e4a1ede3cda19c7906c6166ec5a6f6e | [
"MIT"
] | 49 | 2017-11-23T22:37:36.000Z | 2022-03-05T04:39:13.000Z | intprim/util/visualization.py | souljaboy764/intprim | ecf905ce69dc14215230be3b3819d2236223e9ba | [
"MIT"
] | 5 | 2019-03-31T08:47:33.000Z | 2021-08-19T23:54:51.000Z | intprim/util/visualization.py | souljaboy764/intprim | ecf905ce69dc14215230be3b3819d2236223e9ba | [
"MIT"
] | 20 | 2018-01-22T20:17:24.000Z | 2022-02-18T01:07:54.000Z | import matplotlib.pyplot as plt
import numpy as np
# Displays the probability that the current trajectory matches the stored trajectores at every instant in time.
def plot_distribution(dof_names, mean, upper_bound, lower_bound):
"""Plots a given probability distribution.
"""
figures_per_plot = np.min([4, m... | 38.666667 | 132 | 0.671653 | import matplotlib.pyplot as plt
import numpy as np
# Displays the probability that the current trajectory matches the stored trajectores at every instant in time.
def plot_distribution(dof_names, mean, upper_bound, lower_bound):
"""Plots a given probability distribution.
"""
figures_per_plot = np.min([4, m... | 0 | 0 | 0 | 0 | 0 | 131 | 0 | 0 | 23 |
e677293c96f1e9bdb3625f862f7f5d5efbd3c275 | 4,620 | py | Python | control_de_flujo.py | EUD-curso-python/control_de_flujo-gusadolfo123 | 6e5ab478c40746383c260f1d6779dfa11bbb80bf | [
"MIT"
] | null | null | null | control_de_flujo.py | EUD-curso-python/control_de_flujo-gusadolfo123 | 6e5ab478c40746383c260f1d6779dfa11bbb80bf | [
"MIT"
] | null | null | null | control_de_flujo.py | EUD-curso-python/control_de_flujo-gusadolfo123 | 6e5ab478c40746383c260f1d6779dfa11bbb80bf | [
"MIT"
] | null | null | null |
"""Guarde en lista `naturales` los primeros 100 nmeros naturales (desde el 1)
usando el bucle while
"""
naturales = []
i = 1
while i <= 100:
naturales.append(i)
i += 1
"""Guarde en `acumulado` una lista con el siguiente patrn:
['1','1 2','1 2 3','1 2 3 4','1 2 3 4 5',...,'...47 48 49 50']
Hasta el nmero 50.
... | 24.188482 | 501 | 0.613636 |
"""Guarde en lista `naturales` los primeros 100 números naturales (desde el 1)
usando el bucle while
"""
naturales = []
i = 1
while i <= 100:
naturales.append(i)
i += 1
"""Guarde en `acumulado` una lista con el siguiente patrón:
['1','1 2','1 2 3','1 2 3 4','1 2 3 4 5',...,'...47 48 49 50']
Hasta el número 5... | 70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
592db96b8c56319c711829dab38acc1b8d52ef98 | 3,915 | py | Python | tsutils/cog_mixins.py | kary5678/tsutils | ab6ecdcd2f0e10ba19092028909b3f74bf1708a9 | [
"MIT"
] | 1 | 2021-07-28T19:41:18.000Z | 2021-07-28T19:41:18.000Z | tsutils/cog_mixins.py | kary5678/tsutils | ab6ecdcd2f0e10ba19092028909b3f74bf1708a9 | [
"MIT"
] | 19 | 2020-09-14T07:55:14.000Z | 2022-03-06T17:23:14.000Z | tsutils/cog_mixins.py | kary5678/tsutils | ab6ecdcd2f0e10ba19092028909b3f74bf1708a9 | [
"MIT"
] | 3 | 2020-09-14T07:47:27.000Z | 2021-09-14T02:16:33.000Z |
import redbot.core.commands as commands
| 34.043478 | 115 | 0.65645 | from abc import abstractmethod
from typing import Callable, List, Optional, Type
import redbot.core.commands as commands
from redbot.core.commands import Cog, Command
from .helper_classes import CogABCMeta
class CogMixin(Cog, metaclass=CogABCMeta):
@abstractmethod
def setup_self(self: "CogMixin") -> None: .... | 0 | 403 | 455 | 1,895 | 0 | 810 | 0 | 78 | 227 |
526cd21f661404a9ec8403fe8815374f2aa99060 | 1,521 | py | Python | AlgorithmsPractice/dynamicProgramming/354_hard_Russian Doll Envelopes.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 58 | 2019-03-03T04:42:23.000Z | 2022-01-13T04:36:31.000Z | AlgorithmsPractice/dynamicProgramming/354_hard_Russian Doll Envelopes.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | null | null | null | AlgorithmsPractice/dynamicProgramming/354_hard_Russian Doll Envelopes.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 28 | 2019-08-11T01:25:00.000Z | 2021-08-22T06:46:06.000Z | # coding:utf-8
"""
354. Russian Doll Envelopes
Hard
You have a number of envelopes with widths and heights given as a pair of integers (w, h). One envelope can fit into another if and only if both the width and height of one envelope is greater than the width and height of the other envelope.
What is the maximum num... | 28.166667 | 241 | 0.588429 | # coding:utf-8
"""
354. Russian Doll Envelopes
Hard
You have a number of envelopes with widths and heights given as a pair of integers (w, h). One envelope can fit into another if and only if both the width and height of one envelope is greater than the width and height of the other envelope.
What is the maximum num... | 0 | 0 | 0 | 684 | 0 | 0 | 0 | 0 | 22 |
a0d071624a641b8d3d124e0d0dd6d997b8e68270 | 516 | py | Python | airflow/dags/jobs/check_stuff.py | PythonBiellaGroup/ModernDataEngineering | 369fcb89d119ccd1d73882e492cf7c5331087d20 | [
"MIT"
] | null | null | null | airflow/dags/jobs/check_stuff.py | PythonBiellaGroup/ModernDataEngineering | 369fcb89d119ccd1d73882e492cf7c5331087d20 | [
"MIT"
] | null | null | null | airflow/dags/jobs/check_stuff.py | PythonBiellaGroup/ModernDataEngineering | 369fcb89d119ccd1d73882e492cf7c5331087d20 | [
"MIT"
] | null | null | null |
# Test variables, state and xcom passing values
| 30.352941 | 53 | 0.718992 | from airflow.dags.common import config
from airflow.models import Variable
# Test variables, state and xcom passing values
def check_variables(state, ti):
print(f"Airflow folder: {config.AIRFLOW_FOLDER}")
print(f"Dag folder: {config.DAGS_FOLDER}")
print(f"Data folder: {config.DATA_FOLDER}")
TESTONE =... | 0 | 0 | 0 | 0 | 0 | 369 | 0 | 31 | 66 |
895a04ddca579bcf47014c6d25e4539f067f7d4b | 4,305 | py | Python | internshala_scraper/scrape_internshala_internships.py | tre3x/awesomeScripts | e70cd64eff7791cfac05f069fb9f7037c1bf05bf | [
"MIT"
] | 245 | 2020-09-24T03:49:20.000Z | 2021-01-31T20:09:57.000Z | internshala_scraper/scrape_internshala_internships.py | tre3x/awesomeScripts | e70cd64eff7791cfac05f069fb9f7037c1bf05bf | [
"MIT"
] | 252 | 2020-09-28T02:19:44.000Z | 2021-01-23T09:00:34.000Z | internshala_scraper/scrape_internshala_internships.py | tre3x/awesomeScripts | e70cd64eff7791cfac05f069fb9f7037c1bf05bf | [
"MIT"
] | 219 | 2020-09-23T18:51:42.000Z | 2021-01-23T09:54:40.000Z | # This script will scrape all the internships with given url
# and create a CSV sheet out of it.
# Necessary imports
import requests
from bs4 import BeautifulSoup
import pandas as pd
# A dictionary that will initially hold all scraped values
scraped_data = {
'heading': [],
'company': [],
'stip... | 39.136364 | 80 | 0.575145 | # This script will scrape all the internships with given url
# and create a CSV sheet out of it.
# Necessary imports
import requests
from bs4 import BeautifulSoup
import pandas as pd
# A dictionary that will initially hold all scraped values
scraped_data = {
'heading': [],
'company': [],
'stip... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
023bd6855609a18ee78ad27b8d91ed72405263aa | 2,104 | py | Python | examples/EarthMoon_example.py | c-bruce/pysamss | b37206a39391e370da7ab367087ba3c2b29b1d9f | [
"MIT"
] | 1 | 2020-05-02T18:47:50.000Z | 2020-05-02T18:47:50.000Z | examples/EarthMoon_example.py | c-bruce/pysamss | b37206a39391e370da7ab367087ba3c2b29b1d9f | [
"MIT"
] | null | null | null | examples/EarthMoon_example.py | c-bruce/pysamss | b37206a39391e370da7ab367087ba3c2b29b1d9f | [
"MIT"
] | null | null | null | # Date: 24/06/2019
# Author: Callum Bruce
# Earth, Moon example.
# To run, ensure 'de430.bsp' is downloaded to the working directory. See https://naif.jpl.nasa.gov/pub/naif/generic_kernels/spk/planets/.
import numpy as np
from mayavi import mlab
import datetime
from jplephem.spk import SPK
import pysamss
# Step 1: Set... | 41.254902 | 137 | 0.761882 | # Date: 24/06/2019
# Author: Callum Bruce
# Earth, Moon example.
# To run, ensure 'de430.bsp' is downloaded to the working directory. See https://naif.jpl.nasa.gov/pub/naif/generic_kernels/spk/planets/.
import numpy as np
from mayavi import mlab
import datetime
from jplephem.spk import SPK
import pysamss
# Step 1: Set... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b1c2566c53846ce73cab8ad0f9f8c89def74b926 | 1,331 | py | Python | tests/vasya_clerk_test.py | ibotdotout/coe-pairing | 1a390ca3d07801c98a53de92722981c9697cd68c | [
"MIT"
] | null | null | null | tests/vasya_clerk_test.py | ibotdotout/coe-pairing | 1a390ca3d07801c98a53de92722981c9697cd68c | [
"MIT"
] | null | null | null | tests/vasya_clerk_test.py | ibotdotout/coe-pairing | 1a390ca3d07801c98a53de92722981c9697cd68c | [
"MIT"
] | null | null | null | # http://www.codewars.com/kata/vasya-clerk/python
| 25.596154 | 52 | 0.640872 | # http://www.codewars.com/kata/vasya-clerk/python
import unittest
import vasya_clerk
class VasyaClerkTest(unittest.TestCase):
def _help_assert(self, l, ans):
result = vasya_clerk.solve(l)
self.assertEqual(result, ans)
def test_give_25_should_be_true(self):
l = [25]
self._hel... | 0 | 0 | 0 | 1,221 | 0 | 0 | 0 | -9 | 68 |
34d48f4d94de429ca01e535a91927728d1c23f24 | 6,251 | py | Python | kbsbot/compose_engine/services.py | astandre/cb-compose-engine-ms | ed4141f57dcb544743fd17fe62001d573ae1efc9 | [
"MIT"
] | null | null | null | kbsbot/compose_engine/services.py | astandre/cb-compose-engine-ms | ed4141f57dcb544743fd17fe62001d573ae1efc9 | [
"MIT"
] | null | null | null | kbsbot/compose_engine/services.py | astandre/cb-compose-engine-ms | ed4141f57dcb544743fd17fe62001d573ae1efc9 | [
"MIT"
] | null | null | null | from requests import Session
import requests
import os
# NLP_ENGINE_URL = "http://127.0.0.1:5001"
# INTENTS_MANAGMENT_URL = "http://127.0.0.1:5002"
# CONTEXT_MANAGMENT_URL = "http://127.0.0.1:5003"
NLP_ENGINE_URL = os.environ.get('NLP_ENGINE_URL')
INTENTS_MANAGMENT_URL = os.environ.get('INTENTS_MANAGMENT_URL')
CONTEX... | 31.099502 | 123 | 0.614782 | from requests import Session
import requests
import os
# NLP_ENGINE_URL = "http://127.0.0.1:5001"
# INTENTS_MANAGMENT_URL = "http://127.0.0.1:5002"
# CONTEXT_MANAGMENT_URL = "http://127.0.0.1:5003"
NLP_ENGINE_URL = os.environ.get('NLP_ENGINE_URL')
INTENTS_MANAGMENT_URL = os.environ.get('INTENTS_MANAGMENT_URL')
CONTEX... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5cb5f8aa1715886be25dc44d316e33365e638c31 | 3,350 | py | Python | 2019/day12.py | cy2000yadav/AdventOfCode | 41bc7df9e2c396883fed78369d9aac961bffb7a2 | [
"MIT"
] | 2 | 2019-12-03T20:23:09.000Z | 2020-08-28T10:46:18.000Z | 2019/day12.py | cy2000yadav/AdventOfCode | 41bc7df9e2c396883fed78369d9aac961bffb7a2 | [
"MIT"
] | null | null | null | 2019/day12.py | cy2000yadav/AdventOfCode | 41bc7df9e2c396883fed78369d9aac961bffb7a2 | [
"MIT"
] | 1 | 2021-10-30T07:27:54.000Z | 2021-10-30T07:27:54.000Z |
if __name__ == '__main__':
main() | 24.100719 | 83 | 0.453134 | import re
class moon:
def __init__(self, x,y,z):
self.x = x
self.y = y
self.z = z
self.v_x = 0
self.v_y = 0
self.v_z = 0
def printMoon(moon, vel = True):
p = 'pos=<x='+ str(moon.x) +', y='+ str(moon.y) +', z='+ str(moon.z) +'>, '
v = 'vel=<x... | 0 | 0 | 0 | 150 | 0 | 2,899 | 0 | -12 | 258 |
6044864d1133c9dd0d3f7f6ba4e574fd2ebbb87e | 4,721 | py | Python | lib/bx/intervals/operations/join.py | lldelisle/bx-python | 19ab41e0905221e3fcaaed4b74faf2d7cda0d15a | [
"MIT"
] | 122 | 2015-07-01T12:00:22.000Z | 2022-03-02T09:27:35.000Z | lib/bx/intervals/operations/join.py | lldelisle/bx-python | 19ab41e0905221e3fcaaed4b74faf2d7cda0d15a | [
"MIT"
] | 64 | 2015-11-06T21:03:18.000Z | 2022-03-24T00:55:27.000Z | lib/bx/intervals/operations/join.py | lldelisle/bx-python | 19ab41e0905221e3fcaaed4b74faf2d7cda0d15a | [
"MIT"
] | 60 | 2015-10-05T19:19:36.000Z | 2021-11-19T20:53:54.000Z | """
Join two sets of intervals using their overlap as the key. The
intervals MUST be sorted by chrom(lexicographically),
start(arithmetically) and end(arithmetically). This works by simply
walking through the inputs in O(n) time.
"""
| 34.459854 | 131 | 0.577632 | """
Join two sets of intervals using their overlap as the key. The
intervals MUST be sorted by chrom(lexicographically),
start(arithmetically) and end(arithmetically). This works by simply
walking through the inputs in O(n) time.
"""
import math
from bx.intervals.io import GenomicInterval
from .quicksect import Int... | 0 | 0 | 0 | 0 | 2,403 | 1,892 | 0 | 26 | 160 |
1ac6b2322d59bfa2eb8a3dbb827a17195caeabba | 17,176 | py | Python | src/agents.py | NeiH2304/ProCon_ver_4 | a51604bc8b1510971d981a1d0f06b9d3ff8494aa | [
"MIT"
] | null | null | null | src/agents.py | NeiH2304/ProCon_ver_4 | a51604bc8b1510971d981a1d0f06b9d3ff8494aa | [
"MIT"
] | null | null | null | src/agents.py | NeiH2304/ProCon_ver_4 | a51604bc8b1510971d981a1d0f06b9d3ff8494aa | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 5 09:45:45 2020
@author: hien
"""
| 39.667436 | 122 | 0.566546 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 5 09:45:45 2020
@author: hien
"""
import numpy as np
import torch
from src.deep_q_network import Critic, Actor
from src.replay_memory import ReplayBuffer
from random import random, randint, choices, uniform
from src import utils
from src.utils impo... | 0 | 0 | 0 | 16,651 | 0 | 0 | 0 | 131 | 287 |
77918520b9533f590cf62fc821c8eb5d72734baa | 3,413 | py | Python | deploy/templatetags/myinclusion.py | wxmgcs/devops | 7b0daf6121139c8bec80ec58c119d04d8aeadfe8 | [
"MIT"
] | 3 | 2019-05-06T06:44:43.000Z | 2020-06-10T00:54:43.000Z | deploy/templatetags/myinclusion.py | wxmgcs/devops | 7b0daf6121139c8bec80ec58c119d04d8aeadfe8 | [
"MIT"
] | 1 | 2017-07-11T11:36:54.000Z | 2017-07-11T11:42:23.000Z | deploy/templatetags/myinclusion.py | wxmgcs/devops | 7b0daf6121139c8bec80ec58c119d04d8aeadfe8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf8
'''
@author: qitan
@contact: qqing_lai@hotmail.com
@file: myinclusion.py
@time: 2017/3/30 15:32
@desc:
'''
from django import template
from django.db.models import Q
register = template.Library()
def show_single_minions(pk, user_type):
'''
'''
tgt_list = []
... | 33.460784 | 111 | 0.64811 | #!/usr/bin/env python
# coding: utf8
'''
@author: qitan
@contact: qqing_lai@hotmail.com
@file: myinclusion.py
@time: 2017/3/30 15:32
@desc:
'''
from django import template
from django.db.models import Q
from deploy.models import *
from userauth.models import *
register = template.Library()
def show_single_minions(... | 321 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 45 |
8161a40448432ddb98fa8a8eb4bb1ff893aeeaab | 6,208 | py | Python | evaluation/old_compare/compare_combined_sift.py | tilman/compositional_elements | 45271196ed01d0515357c7abdf35d6b87f2036d5 | [
"MIT"
] | 2 | 2021-06-13T16:21:52.000Z | 2021-06-13T16:21:53.000Z | evaluation/old_compare/compare_combined_sift.py | tilman/compositional_elements | 45271196ed01d0515357c7abdf35d6b87f2036d5 | [
"MIT"
] | null | null | null | evaluation/old_compare/compare_combined_sift.py | tilman/compositional_elements | 45271196ed01d0515357c7abdf35d6b87f2036d5 | [
"MIT"
] | null | null | null | # call this script with `python -m evaluation.evaluate_poselines_globalaction`
#https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_matcher/py_matcher.html#brute-force-matching-with-sift-descriptors-and-ratio-test
| 50.064516 | 167 | 0.716173 | # call this script with `python -m evaluation.evaluate_poselines_globalaction`
import numpy as np
from numpy.core.fromnumeric import sort
import pandas as pd
import datetime
import torch
from torch.functional import norm
from tqdm import tqdm
from . import eval_utils
import cv2
from .compare_deepfeatures import negati... | 0 | 0 | 0 | 0 | 0 | 5,235 | 0 | 231 | 494 |
8ac1f16bfc18ec92e12b019d710e5fda17c7d467 | 2,487 | py | Python | train.py | zhoufengfan/light-weight-network | 14b9c4c8f3660a249344837beff80cc573cab167 | [
"MIT"
] | null | null | null | train.py | zhoufengfan/light-weight-network | 14b9c4c8f3660a249344837beff80cc573cab167 | [
"MIT"
] | null | null | null | train.py | zhoufengfan/light-weight-network | 14b9c4c8f3660a249344837beff80cc573cab167 | [
"MIT"
] | null | null | null | import torch.autograd
import torch.nn as nn
from dataset import Dataset2
if __name__ == '__main__':
num_epoch = 500
data_vector_dim = 20
item_of_single_class = 10
train_dataset = Dataset2(item_of_single_class=item_of_single_class, data_vector_dim=data_vector_dim)
test_dataset = Datas... | 32.298701 | 105 | 0.599115 | import torch.autograd
import torch.nn as nn
from dataset import Dataset2
class Network2(nn.Module):
def __init__(self, input_dim=20, output_dim=7):
super(Network2, self).__init__()
self.dis = nn.Sequential(
nn.Linear(input_dim, 256),
nn.ReLU(True),
nn... | 0 | 0 | 0 | 636 | 0 | 333 | 0 | 0 | 50 |
a715ff7e13069bece07342b123a7c161f5c6dfa4 | 10,950 | py | Python | taxonresolver/tree.py | biomadeira/taxonomy-resolver | ce7a264c2b8b552dde6284b4a74821184be8e489 | [
"Apache-2.0"
] | null | null | null | taxonresolver/tree.py | biomadeira/taxonomy-resolver | ce7a264c2b8b552dde6284b4a74821184be8e489 | [
"Apache-2.0"
] | null | null | null | taxonresolver/tree.py | biomadeira/taxonomy-resolver | ce7a264c2b8b552dde6284b4a74821184be8e489 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8
"""
Taxonomy Resolver
:copyright: (c) 2020-2021.
:license: Apache 2.0, see LICENSE for more details.
"""
import io
import zipfile
import pandas as pd
from taxonresolver.utils import parse_tax_ids
from taxonresolver.utils import print_and_exit
from taxonresolver.utils import... | 38.69258 | 109 | 0.652968 | #!/usr/bin/env python
# -*- coding: utf-8
"""
Taxonomy Resolver
:copyright: (c) 2020-2021.
:license: Apache 2.0, see LICENSE for more details.
"""
import io
import zipfile
import pandas as pd
from taxonresolver.utils import parse_tax_ids
from taxonresolver.utils import print_and_exit
from taxonresolver.utils import... | 0 | 0 | 0 | 1,712 | 0 | 0 | 0 | 33 | 45 |
58c3911c166eeff3145b577b0906f6c294f5e653 | 2,521 | py | Python | Train/diTau_reference.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | null | null | null | Train/diTau_reference.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | null | null | null | Train/diTau_reference.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | null | null | null | import os
os.environ['DECORRELATE'] = "False"
from DeepJetCore.training.training_base import training_base
import subprocess
import tensorflow as tf
from keras import backend as k
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
config.gpu_options.per_process_gpu_memory_fraction = 0.6
k.tensorflow_ba... | 34.534247 | 102 | 0.582705 | import os
os.environ['DECORRELATE'] = "False"
from DeepJetCore.training.training_base import training_base
from Losses import loss_NLL, loss_meansquared
from DeepJetCore.modeltools import fixLayersContaining,printLayerInfosAndWeights
import subprocess
import tensorflow as tf
from keras import backend as k
config ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 47 |
91afaf07d2c3f534c87bada2ba28c2ee786e9072 | 583 | py | Python | Projects/Face Detection/main.py | tejas4m/Hacktoberfest2021 | d90e6bc8d5ba74a9064992fe9b6f73d7cb2c4a10 | [
"MIT"
] | 18 | 2021-09-30T07:20:25.000Z | 2021-10-19T07:19:56.000Z | Projects/Face Detection/main.py | tejas4m/Hacktoberfest2021 | d90e6bc8d5ba74a9064992fe9b6f73d7cb2c4a10 | [
"MIT"
] | 94 | 2021-10-01T12:41:41.000Z | 2021-11-01T03:31:27.000Z | Projects/Face Detection/main.py | tejas4m/Hacktoberfest2021 | d90e6bc8d5ba74a9064992fe9b6f73d7cb2c4a10 | [
"MIT"
] | 56 | 2021-09-30T12:03:02.000Z | 2021-10-19T09:51:52.000Z | import cv2
cv2.namedWindow("test")
cv2.namedWindow("test1")
cam = cv2.VideoCapture(0)
detector = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
while True:
temp , frame = cam.read()
if not temp:
break;
faces = detector.detectMultiScale(frame)
cv2.imshow("test1" , frame)
for face in... | 26.5 | 72 | 0.61578 | import cv2
cv2.namedWindow("test")
cv2.namedWindow("test1")
cam = cv2.VideoCapture(0)
detector = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
while True:
temp , frame = cam.read()
if not temp:
break;
faces = detector.detectMultiScale(frame)
cv2.imshow("test1" , frame)
for face in... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f5babe057438b85c0ec6c63603d46c40e7910fc | 4,608 | py | Python | ds_cleaning_funcs.py | AlirezaFallahii/sufficient-forecasting | 802a19c7a00c9a60036d8949c65e77a654f371f3 | [
"MIT"
] | 1 | 2020-11-28T10:41:42.000Z | 2020-11-28T10:41:42.000Z | ds_cleaning_funcs.py | AlirezaFallahii/sufficient-forecasting | 802a19c7a00c9a60036d8949c65e77a654f371f3 | [
"MIT"
] | null | null | null | ds_cleaning_funcs.py | AlirezaFallahii/sufficient-forecasting | 802a19c7a00c9a60036d8949c65e77a654f371f3 | [
"MIT"
] | null | null | null | import pandas as pd
def assess_NA(data):
"""
Returns a pandas dataframe denoting the total number of NA values
and the percentage of NA values in each column.
The column names are noted on the index.
Parameters
----------
data: dataframe
"""
# pandas series denoting f... | 42.275229 | 80 | 0.588976 | import pandas as pd
def assess_NA(data):
"""
Returns a pandas dataframe denoting the total number of NA values
and the percentage of NA values in each column.
The column names are noted on the index.
Parameters
----------
data: dataframe
"""
# pandas series denoting f... | 0 | 0 | 0 | 0 | 0 | 3,647 | 0 | 0 | 25 |
b955eece982c8d7627d37e20b41ef5826c9b8edb | 102 | py | Python | cap9/ex7/main1.py | felipesch92/livroPython | 061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307 | [
"MIT"
] | null | null | null | cap9/ex7/main1.py | felipesch92/livroPython | 061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307 | [
"MIT"
] | null | null | null | cap9/ex7/main1.py | felipesch92/livroPython | 061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307 | [
"MIT"
] | null | null | null | l = [['felipe', 99], ['tamara', 50], ['fernando', 60]]
l1 = sorted(l)
l = sorted(l)
print(l)
print(l1) | 20.4 | 54 | 0.558824 | l = [['felipe', 99], ['tamara', 50], ['fernando', 60]]
l1 = sorted(l)
l = sorted(l)
print(l)
print(l1) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6092cfc32f268455d15a9ad5964aebd238cb3f73 | 16,171 | py | Python | se/commands/interactive_replace.py | thewchan/tools | bb9ac50c8d48fd43745d04b4c994ab0af5ef3fba | [
"CC0-1.0"
] | 1 | 2021-07-25T03:29:10.000Z | 2021-07-25T03:29:10.000Z | se/commands/interactive_replace.py | robinwhittleton/tools | 60777eb152e346124ad9646ddd1c3307b7ed7f0c | [
"CC0-1.0"
] | null | null | null | se/commands/interactive_replace.py | robinwhittleton/tools | 60777eb152e346124ad9646ddd1c3307b7ed7f0c | [
"CC0-1.0"
] | null | null | null | """
This module implements the `se interactive-replace` command.
"""
import argparse
import curses
from pathlib import Path
import os
from math import floor
from typing import Tuple
import regex
import se
TAB_SIZE = 8
def _get_text_dimensions(text: str) -> Tuple[int, int]:
"""
Get the number of rows and column... | 34.776344 | 524 | 0.704595 | """
This module implements the `se interactive-replace` command.
"""
import argparse
import curses
from pathlib import Path
import os
from math import floor
from typing import Tuple
import regex
import se
TAB_SIZE = 8
def _get_text_dimensions(text: str) -> Tuple[int, int]:
"""
Get the number of rows and column... | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4e0426cc0a9642d982176a0f7602c3aeb0fde250 | 216 | py | Python | edge/graphics.py | lucasdavid/edge | c7d9cf7e2803cc8d49abbe3ddb9f16eb130c1b01 | [
"MIT"
] | null | null | null | edge/graphics.py | lucasdavid/edge | c7d9cf7e2803cc8d49abbe3ddb9f16eb130c1b01 | [
"MIT"
] | null | null | null | edge/graphics.py | lucasdavid/edge | c7d9cf7e2803cc8d49abbe3ddb9f16eb130c1b01 | [
"MIT"
] | null | null | null | default_style = {
'alpha': .6,
'width': 1,
'node_size': 100,
'node_color': '#2EB1E6',
'edge_color': '#cccccc',
}
solution_style = default_style.copy()
solution_style.update(node_color='#ff0000')
| 19.636364 | 43 | 0.62963 | default_style = {
'alpha': .6,
'width': 1,
'node_size': 100,
'node_color': '#2EB1E6',
'edge_color': '#cccccc',
}
solution_style = default_style.copy()
solution_style.update(node_color='#ff0000')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d9548d88c801008eefb74d6391427687fe7c335b | 2,086 | py | Python | server2/migrations/versions/bff862ed6870_.py | Terkea/beds-uni-hackathon-4-notes | db351b2053be5e9568d731006fd2af7002a40ca0 | [
"MIT"
] | null | null | null | server2/migrations/versions/bff862ed6870_.py | Terkea/beds-uni-hackathon-4-notes | db351b2053be5e9568d731006fd2af7002a40ca0 | [
"MIT"
] | 1 | 2019-12-01T13:49:15.000Z | 2019-12-01T13:49:15.000Z | server2/migrations/versions/bff862ed6870_.py | Terkea/beds-uni-hackathon-4-notes | db351b2053be5e9568d731006fd2af7002a40ca0 | [
"MIT"
] | null | null | null | """empty message
Revision ID: bff862ed6870
Revises: 2ee4f69c4623
Create Date: 2019-11-28 17:42:47.448962
"""
# revision identifiers, used by Alembic.
revision = 'bff862ed6870'
down_revision = '2ee4f69c4623'
branch_labels = None
depends_on = None
| 37.25 | 98 | 0.691275 | """empty message
Revision ID: bff862ed6870
Revises: 2ee4f69c4623
Create Date: 2019-11-28 17:42:47.448962
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'bff862ed6870'
down_revision = '2ee4f69c4623'
branch_labels = None
depe... | 0 | 0 | 0 | 0 | 0 | 1,704 | 0 | 19 | 112 |
b7d71d0082ed0f850650efd250f61d0670fcc037 | 19,851 | py | Python | python/sklearn/sklearn/metrics/tests/test_metrics.py | seckcoder/lang-learn | 1e0d6f412bbd7f89b1af00293fd907ddb3c1b571 | [
"Unlicense"
] | 1 | 2017-10-14T04:23:45.000Z | 2017-10-14T04:23:45.000Z | python/sklearn/sklearn/metrics/tests/test_metrics.py | seckcoder/lang-learn | 1e0d6f412bbd7f89b1af00293fd907ddb3c1b571 | [
"Unlicense"
] | null | null | null | python/sklearn/sklearn/metrics/tests/test_metrics.py | seckcoder/lang-learn | 1e0d6f412bbd7f89b1af00293fd907ddb3c1b571 | [
"Unlicense"
] | null | null | null | import random
import numpy as np
from nose.tools import assert_true
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from numpy.testing import assert_equal, assert_almost_equal
from sklearn import datasets
from sklearn import svm
from sklearn.metrics import auc
from skle... | 35.961957 | 79 | 0.660974 | import random
import warnings
import numpy as np
from nose.tools import raises, assert_not_equal
from nose.tools import assert_true, assert_raises
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from numpy.testing import assert_equal, assert_almost_equal
from sklearn i... | 0 | 204 | 0 | 0 | 0 | 5,435 | 0 | 52 | 389 |
ea54792c432ac442abc7b1aa8dfe5fd91f8f6a98 | 148 | py | Python | mne/externals/h5io/__init__.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 1,953 | 2015-01-17T20:33:46.000Z | 2022-03-30T04:36:34.000Z | mne/externals/h5io/__init__.py | alexandrebarachant/mne-python | b54e38c9bbac38c6f53747075b5bad2936fbc5b9 | [
"BSD-3-Clause"
] | 8,490 | 2015-01-01T13:04:18.000Z | 2022-03-31T23:02:08.000Z | mne/externals/h5io/__init__.py | alexandrebarachant/mne-python | b54e38c9bbac38c6f53747075b5bad2936fbc5b9 | [
"BSD-3-Clause"
] | 1,130 | 2015-01-08T22:39:27.000Z | 2022-03-30T21:44:26.000Z | """Python Objects Onto HDF5
"""
__version__ = '0.1.dev0'
| 21.142857 | 88 | 0.736486 | """Python Objects Onto HDF5
"""
__version__ = '0.1.dev0'
from ._h5io import read_hdf5, write_hdf5, _TempDir, object_diff # noqa, analysis:ignore
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 48 |
c5864362375a81a891800b2885457459c5fea69d | 85 | py | Python | src/dal_select2/__init__.py | pandabuilder/django-autocomplete-light | 41f699aadaa6214acd5d947b717394b1237a7223 | [
"MIT"
] | null | null | null | src/dal_select2/__init__.py | pandabuilder/django-autocomplete-light | 41f699aadaa6214acd5d947b717394b1237a7223 | [
"MIT"
] | null | null | null | src/dal_select2/__init__.py | pandabuilder/django-autocomplete-light | 41f699aadaa6214acd5d947b717394b1237a7223 | [
"MIT"
] | null | null | null | """Select2 support for DAL."""
# default_app_config = 'dal_select2.apps.DefaultApp'
| 21.25 | 52 | 0.741176 | """Select2 support for DAL."""
# default_app_config = 'dal_select2.apps.DefaultApp'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f3c95dfe7fb1b5c254dd15bc2c564d79d8da83f3 | 2,207 | py | Python | whatisit/apps/wordfish/storage.py | radinformatics/whatisit | 9cfc8924b722678d3b2ca7e5ad77b9254fcb93f3 | [
"MIT"
] | 1 | 2021-06-08T11:08:09.000Z | 2021-06-08T11:08:09.000Z | whatisit/apps/wordfish/storage.py | radinformatics/whatisit | 9cfc8924b722678d3b2ca7e5ad77b9254fcb93f3 | [
"MIT"
] | 24 | 2016-10-21T00:55:30.000Z | 2017-01-05T03:13:57.000Z | whatisit/apps/wordfish/storage.py | radinformatics/whatisit | 9cfc8924b722678d3b2ca7e5ad77b9254fcb93f3 | [
"MIT"
] | null | null | null |
############################################################################
# Storage Models
############################################################################
| 33.953846 | 89 | 0.599003 | from django.core.files.storage import FileSystemStorage
from django.core.files.move import file_move_safe
from django.contrib.auth.models import User
from django.apps import apps
from fnmatch import fnmatch
from whatisit.settings import (
MEDIA_ROOT,
MEDIA_URL
)
import errno
import itertools
import os
import... | 0 | 0 | 0 | 1,658 | 0 | 0 | 0 | 108 | 268 |
f5840ddd768bf8711a9fb5c49a430be015c29d82 | 704 | py | Python | script/generate_header.py | Liby99/Rotamina | 47a588b7e4674d3ab20d9d7afc43b25c7e0fa304 | [
"MIT"
] | 5 | 2018-01-30T02:11:12.000Z | 2021-08-25T09:01:12.000Z | script/generate_header.py | Liby99/Rotamina | 47a588b7e4674d3ab20d9d7afc43b25c7e0fa304 | [
"MIT"
] | null | null | null | script/generate_header.py | Liby99/Rotamina | 47a588b7e4674d3ab20d9d7afc43b25c7e0fa304 | [
"MIT"
] | null | null | null | import os, sys
name = sys.argv[1]
root_dir = sys.argv[2]
header_dir = os.path.join(root_dir, name)
if not os.path.exists(header_dir):
os.makedirs(header_dir)
files = []
dirs = [("", root_dir)]
for i in range(4):
subdirs = []
for (p, d) in dirs:
files = files + [os.path.join(p, item) for item in os.l... | 37.052632 | 134 | 0.612216 | import os, sys
name = sys.argv[1]
root_dir = sys.argv[2]
header_dir = os.path.join(root_dir, name)
if not os.path.exists(header_dir):
os.makedirs(header_dir)
files = []
dirs = [("", root_dir)]
for i in range(4):
subdirs = []
for (p, d) in dirs:
files = files + [os.path.join(p, item) for item in os.l... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
717cb0b8bf9357cc97762908fa917f8f585a6a17 | 2,186 | py | Python | cogs/reactions/reactions.py | n303p4/sailor-fox | 5c7b1077414916bd3ecacd8089a81a10efe7f43b | [
"MIT"
] | null | null | null | cogs/reactions/reactions.py | n303p4/sailor-fox | 5c7b1077414916bd3ecacd8089a81a10efe7f43b | [
"MIT"
] | null | null | null | cogs/reactions/reactions.py | n303p4/sailor-fox | 5c7b1077414916bd3ecacd8089a81a10efe7f43b | [
"MIT"
] | null | null | null | """Generic reaction image commands."""
import json
from sailor import commands
def setup(processor):
"""Set up reaction commands."""
with open("reactions.json") as file_object:
reactions = json.load(file_object)
last_image_for_command = {}
for command_name, command_properties in reactions... | 37.689655 | 93 | 0.631747 | """Generic reaction image commands."""
import json
import secrets
from sailor import commands
from sailor.exceptions import UserInputError
def setup(processor):
"""Set up reaction commands."""
with open("reactions.json") as file_object:
reactions = json.load(file_object)
last_image_for_command... | 0 | 0 | 1,062 | 0 | 0 | 0 | 0 | 16 | 98 |
4359992c7bf4243dc799de8de7f398d1f743e2a6 | 9,122 | py | Python | moldesign/utils/callsigs.py | Autodesk/molecular-design-toolkit | 5f45a47fea21d3603899a6366cb163024f0e2ec4 | [
"Apache-2.0"
] | 147 | 2016-07-15T18:53:55.000Z | 2022-01-30T04:36:39.000Z | moldesign/utils/callsigs.py | cherishyli/molecular-design-toolkit | 5f45a47fea21d3603899a6366cb163024f0e2ec4 | [
"Apache-2.0"
] | 151 | 2016-07-15T21:35:11.000Z | 2019-10-10T08:57:29.000Z | moldesign/utils/callsigs.py | cherishyli/molecular-design-toolkit | 5f45a47fea21d3603899a6366cb163024f0e2ec4 | [
"Apache-2.0"
] | 33 | 2016-08-02T00:04:51.000Z | 2021-09-02T10:05:04.000Z | from __future__ import print_function, absolute_import, division
from future import standard_library
standard_library.install_aliases()
# Copyright 2017 Autodesk 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 ... | 35.220077 | 100 | 0.629358 | from __future__ import print_function, absolute_import, division
from future.builtins import *
from future import standard_library
standard_library.install_aliases()
# Copyright 2017 Autodesk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with ... | 0 | 225 | 0 | 1,002 | 0 | 1,644 | 0 | 7 | 139 |