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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
07cff5e353a948792c97d517dfb2d1b12e9696ae | 1,641 | py | Python | scripts/src/tools/validation.py | sujith-mn/cobigen | aaf4cd8b9efbc613df3aab8df4c9a39bea2a3851 | [
"Apache-2.0"
] | null | null | null | scripts/src/tools/validation.py | sujith-mn/cobigen | aaf4cd8b9efbc613df3aab8df4c9a39bea2a3851 | [
"Apache-2.0"
] | null | null | null | scripts/src/tools/validation.py | sujith-mn/cobigen | aaf4cd8b9efbc613df3aab8df4c9a39bea2a3851 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import git
from tools.config import Config
from tools.logger import log_error, log_info
def exit_if_not_executed_in_ide_environment():
'''This part checks if environment variables is set or not.'''
if not ("OSSRH_USER" and "OSSRH_PASSWD" and "GPG_SIGNING_PASSWD" and "BINTRAY_USER" and "... | 36.466667 | 196 | 0.697136 | import os
import subprocess
import sys
import git
from tools.config import Config
from tools.logger import log_error, log_info
def exit_if_not_executed_in_ide_environment():
'''This part checks if environment variables is set or not.'''
if not ("OSSRH_USER" and "OSSRH_PASSWD" and "GPG_SIGNING_PASSWD" and "B... | 0 | 0 | 0 | 0 | 0 | 521 | 0 | -4 | 68 |
7c61c9f277706431518e5fec71389da38668f300 | 1,743 | py | Python | server.py | mfojtak/decor | 203979351635a6794c91200fca4a14296ec9bc37 | [
"MIT"
] | 1 | 2019-09-05T07:23:19.000Z | 2019-09-05T07:23:19.000Z | server.py | mfojtak/decor | 203979351635a6794c91200fca4a14296ec9bc37 | [
"MIT"
] | 2 | 2020-10-25T17:41:08.000Z | 2020-10-26T16:48:19.000Z | server.py | mfojtak/deco | 203979351635a6794c91200fca4a14296ec9bc37 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from flask import Flask, request, jsonify
import numpy as np
import deco
import requests
import csv
import json
import argparse
parser = argparse.ArgumentParser(description='Exports keras model to serving format')
parser.add_argument('--port', action="store", dest="port", default=4000)
parser.add... | 32.886792 | 96 | 0.688468 | #!/usr/bin/env python
from flask import Flask, request, jsonify
import numpy as np
import deco
import requests
import csv
import json
import argparse
parser = argparse.ArgumentParser(description='Exports keras model to serving format')
parser.add_argument('--port', action="store", dest="port", default=4000)
parser.add... | 0 | 302 | 0 | 0 | 55 | 399 | 0 | 0 | 69 |
abcccc4acff4d48a1d8fcdc1360e355627a270af | 8,030 | py | Python | logFileReplay-csv/send_csv_data_py3.py | xguoif/InsightAgent | 2bda254a137265965475d2e426ee221e1345868c | [
"Apache-2.0"
] | 22 | 2016-05-10T16:36:15.000Z | 2022-03-28T13:15:35.000Z | logFileReplay-csv/send_csv_data_py3.py | xguoif/InsightAgent | 2bda254a137265965475d2e426ee221e1345868c | [
"Apache-2.0"
] | 33 | 2017-03-25T01:40:12.000Z | 2022-03-22T21:41:26.000Z | logFileReplay-csv/send_csv_data_py3.py | xguoif/InsightAgent | 2bda254a137265965475d2e426ee221e1345868c | [
"Apache-2.0"
] | 131 | 2016-06-09T15:19:26.000Z | 2021-11-30T06:06:21.000Z | import csv
import time
import json
import urllib3
import importlib
import sys
import copy
import arrow
import pytz
MAX_RETRY_NUM = 10
RETRY_WAIT_TIME_IN_SEC = 30
MAX_MESSAGE_LENGTH = 10000
MAX_DATA_SIZE = 4000000
MAX_PACKET_SIZE = 5000000
def send_data(log_data):
""" Sends parsed metric data to InsightFinder """
... | 39.950249 | 136 | 0.586052 | import csv
import time
import json
import requests
import urllib3
import importlib
import sys
import copy
import arrow
import os
import pytz
import configparser
MAX_RETRY_NUM = 10
RETRY_WAIT_TIME_IN_SEC = 30
MAX_MESSAGE_LENGTH = 10000
MAX_DATA_SIZE = 4000000
MAX_PACKET_SIZE = 5000000
def get_agent_config_vars():
... | 0 | 0 | 0 | 0 | 0 | 5,026 | 0 | -20 | 135 |
91621b40b97bb1b107b20ffb1e9e25cd01b5bc07 | 2,355 | py | Python | Basic/fun/function_demo.py | exchris/Pythonlearn | 174f38a86cf1c85d6fc099005aab3568e7549cd0 | [
"MIT"
] | null | null | null | Basic/fun/function_demo.py | exchris/Pythonlearn | 174f38a86cf1c85d6fc099005aab3568e7549cd0 | [
"MIT"
] | 1 | 2018-11-27T09:58:54.000Z | 2018-11-27T09:58:54.000Z | Basic/fun/function_demo.py | exchris/pythonlearn | 174f38a86cf1c85d6fc099005aab3568e7549cd0 | [
"MIT"
] | null | null | null | # -*-coding:utf-8 -*-
"""
"""
#
#
result = calulus(2)
print(result)
#
def fruit_function(fruit1, fruit2):
"""
fruits = fruit1 + " " + fruit2
return fruits
"""
lst = [];
lst.append(fruit1)
lst.append(fruit2)
return lst
#
result = fruit_function("apple", "banana")
print(resu... | 14.447853 | 62 | 0.534607 | # -*-coding:utf-8 -*-
"""
一个函数包括输入参数和输出参数
"""
# 定义函数
def calulus(x):
y = x + 1
return y
# 调用函数
result = calulus(2)
print(result)
# 参数必须要正确地写入函数中，函数的参数也可以为多个
def fruit_function(fruit1, fruit2):
"""
fruits = fruit1 + " " + fruit2
return fruits
"""
lst = [];
lst.append(fruit1)
l... | 447 | 0 | 0 | 0 | 0 | 958 | 0 | 0 | 289 |
f734f8778bf4b8e5ff157ae685a7c022d954b83a | 1,502 | py | Python | heat/engine/clients/os/aodh.py | noironetworks/heat | 7cdadf1155f4d94cf8f967635b98e4012a7acfb7 | [
"Apache-2.0"
] | 1 | 2018-07-04T07:59:26.000Z | 2018-07-04T07:59:26.000Z | heat/engine/clients/os/aodh.py | noironetworks/heat | 7cdadf1155f4d94cf8f967635b98e4012a7acfb7 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | heat/engine/clients/os/aodh.py | noironetworks/heat | 7cdadf1155f4d94cf8f967635b98e4012a7acfb7 | [
"Apache-2.0"
] | 3 | 2018-07-19T17:43:37.000Z | 2019-11-15T22:13:30.000Z | #
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... | 30.04 | 78 | 0.699734 | #
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... | 0 | 0 | 0 | 764 | 0 | 0 | 0 | 50 | 91 |
30a90bb1b61520bbe62cfd78a265d535fabc87db | 9,827 | py | Python | nmea2kfluxlite/nmea2kfluxlite.py | iotfablab/nmea2kfluxlite | 940160f68cacdee6cd050bd8a63bc77757a67208 | [
"MIT"
] | null | null | null | nmea2kfluxlite/nmea2kfluxlite.py | iotfablab/nmea2kfluxlite | 940160f68cacdee6cd050bd8a63bc77757a67208 | [
"MIT"
] | null | null | null | nmea2kfluxlite/nmea2kfluxlite.py | iotfablab/nmea2kfluxlite | 940160f68cacdee6cd050bd8a63bc77757a67208 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
import asyncio
import json
import logging
import os
import socket
import ssl
import sys
from queue import Queue
import paho.mqtt.client as mqtt
SERVER_ADDRESS = ('localhost', 2598)
# Logging Configuration
logging.basicConfig(level=logging.INFO, stream=sys.stdout)
logger = loggi... | 39.465863 | 149 | 0.566399 | #!/usr/bin/env python3
import argparse
import asyncio
import json
import logging
import os
import socket
import ssl
import sys
import time
from queue import Queue
import paho.mqtt.client as mqtt
SERVER_ADDRESS = ('localhost', 2598)
# Logging Configuration
logging.basicConfig(level=logging.INFO, stream=sys.stdout)
lo... | 0 | 0 | 4,887 | 0 | 0 | 0 | 0 | -10 | 68 |
a1b39fcace9b599b3f0e5d9b67a39f6838550bd5 | 6,726 | py | Python | Extracting Targeted Tweets.py | narmin24/UTrack | 68d281bc59b2de52eb769c1fdad39aa94a6c497e | [
"MIT"
] | 4 | 2021-06-14T20:46:08.000Z | 2022-02-14T07:24:14.000Z | Extracting Targeted Tweets.py | narmin24/UTrack | 68d281bc59b2de52eb769c1fdad39aa94a6c497e | [
"MIT"
] | null | null | null | Extracting Targeted Tweets.py | narmin24/UTrack | 68d281bc59b2de52eb769c1fdad39aa94a6c497e | [
"MIT"
] | 5 | 2021-06-14T07:37:06.000Z | 2021-07-06T07:07:14.000Z | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import tweepy
import pandas as pd
import webbrowser
# In[ ]:
key = "VEyxpXLGHG9USYhM7spHVKl36"
secret = "FG61nlBuLR7mb6UCPGxHH4UdMqwYNwL6aFhDt9gQJcaChblOkL"
callback_url = "oob"
auth = tweepy.OAuthHandler(key, secret, callback_url)
redirect_url = auth.get_authorizat... | 25.869231 | 145 | 0.608683 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import tweepy
import pandas as pd
import numpy as np
import webbrowser
import time
from tweepy import OAuthHandler
import json
import csv
import re
import string
import os
# In[ ]:
key = "VEyxpXLGHG9USYhM7spHVKl36"
secret = "FG61nlBuLR7mb6UCPGxHH4UdMqwYNwL6aFhDt9gQJ... | 6 | 0 | 0 | 0 | 0 | 3,645 | 0 | -56 | 222 |
5f0ad559628e9ed1c7c9a05fb15e31281a2a97e3 | 2,204 | py | Python | src/genie/libs/parser/slxos/tests/ShowVersion/cli/equal/golden_output1_expected.py | fpessoanunes/genieparser | 8597aae1799f8a540214d6dbcfd545d2ebe369e4 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/slxos/tests/ShowVersion/cli/equal/golden_output1_expected.py | fpessoanunes/genieparser | 8597aae1799f8a540214d6dbcfd545d2ebe369e4 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/slxos/tests/ShowVersion/cli/equal/golden_output1_expected.py | fpessoanunes/genieparser | 8597aae1799f8a540214d6dbcfd545d2ebe369e4 | [
"Apache-2.0"
] | null | null | null | expected_output = {
"version": {
"build_time": "08:13:43 Apr 7, 2021",
"firmware_ver": "18r.1.00h",
"install_time": "07:14:32 Jun 1, 2021",
"slot": {
"L1/0": {
"name": "L1/0",
"primary_ver": "18r.1.00h",
"secondary_ver": "... | 31.042254 | 53 | 0.329855 | expected_output = {
"version": {
"build_time": "08:13:43 Apr 7, 2021",
"firmware_ver": "18r.1.00h",
"install_time": "07:14:32 Jun 1, 2021",
"slot": {
"L1/0": {
"name": "L1/0",
"primary_ver": "18r.1.00h",
"secondary_ver": "... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9e96c8bf96a1408e84578c9d71e9a7bf5501c905 | 519 | py | Python | ipster/command_line.py | i5ar/ipster | ec82782e2dafe4ddf4ea70fb554fc7ff5c3f28de | [
"MIT"
] | 4 | 2018-08-13T04:33:32.000Z | 2021-05-24T21:03:09.000Z | ipster/command_line.py | i5ar/ipster | ec82782e2dafe4ddf4ea70fb554fc7ff5c3f28de | [
"MIT"
] | 1 | 2017-10-08T23:45:19.000Z | 2017-10-08T23:45:19.000Z | ipster/command_line.py | i5ar/ipster | ec82782e2dafe4ddf4ea70fb554fc7ff5c3f28de | [
"MIT"
] | null | null | null | def main():
"""Generate reStructuredText README from Markdown.
The ``main()`` function is also registered in the setup entry points.
Convertion example::
import ipster.command_line
ipster.command_line.main()
"""
readme_in = 'README.md'
readme_out = 'README.rst'
try:
... | 25.95 | 73 | 0.622351 | def main():
"""Generate reStructuredText README from Markdown.
The ``main()`` function is also registered in the setup entry points.
Convertion example::
import ipster.command_line
ipster.command_line.main()
"""
readme_in = 'README.md'
readme_out = 'README.rst'
try:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ee4b4c589f802aa2f5083facb8a99d6b6b9cbcf2 | 4,425 | py | Python | src/win_maximize/__init__.py | alkuzad/win-maximize-python | 9098143297d3e026126b0f8dd3e6925539841671 | [
"MIT"
] | 2 | 2018-07-16T01:47:59.000Z | 2021-05-17T05:15:19.000Z | src/win_maximize/__init__.py | alkuzad/win-maximize-python | 9098143297d3e026126b0f8dd3e6925539841671 | [
"MIT"
] | null | null | null | src/win_maximize/__init__.py | alkuzad/win-maximize-python | 9098143297d3e026126b0f8dd3e6925539841671 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Thanks to https://github.com/ritchielawrence/cmdow
# For providing help for treating Win32 API
import os
from win_maximize.parent_tree import parent_tree
CURRENT_PROCESS_TREE = parent_tree(os.getpid())
if __name__ == "__main__":
main()
| 26.981707 | 85 | 0.620791 | #!/usr/bin/env python
# Thanks to https://github.com/ritchielawrence/cmdow
# For providing help for treating Win32 API
import re
import os
from argparse import ArgumentParser
import win32gui
import win32api
import win32console
import win32process
from win32com.client import GetObject
from win_maximize.parent_tree ... | 0 | 105 | 0 | 2,695 | 0 | 1,052 | 0 | 2 | 295 |
bc9d84411558123a05436a09a0577c76e61e4e5b | 140 | py | Python | scorecard/templatetags/jsonify.py | desafinadude/municipal-data | 1c86c55bbb59f9c8087f6920fae3585dd90d5d43 | [
"MIT"
] | 19 | 2018-01-09T10:54:15.000Z | 2022-01-25T13:10:55.000Z | wazimap/templatetags/jsonify.py | ChrisAchinga/wazimap | a66a1524030a8b98e7ea0dfb270d1946ca75b3b2 | [
"MIT"
] | 66 | 2016-02-15T08:59:29.000Z | 2017-09-21T14:00:43.000Z | wazimap/templatetags/jsonify.py | ChrisAchinga/wazimap | a66a1524030a8b98e7ea0dfb270d1946ca75b3b2 | [
"MIT"
] | 18 | 2017-10-06T12:26:37.000Z | 2021-08-30T01:38:37.000Z |
from django import template
register = template.Library()
| 12.727273 | 29 | 0.757143 | import json
from django import template
register = template.Library()
@register.filter
def jsonify(value):
return json.dumps(value)
| 0 | 44 | 0 | 0 | 0 | 0 | 0 | -10 | 45 |
5c14d9e82c29d05157bdb01e42172d98f68b5601 | 73 | py | Python | raccgen/__init__.py | michaelpeterswa/raccgen | 389bcb3c34b137f74b5b7bf6c2e2e07aa77d6feb | [
"MIT"
] | null | null | null | raccgen/__init__.py | michaelpeterswa/raccgen | 389bcb3c34b137f74b5b7bf6c2e2e07aa77d6feb | [
"MIT"
] | null | null | null | raccgen/__init__.py | michaelpeterswa/raccgen | 389bcb3c34b137f74b5b7bf6c2e2e07aa77d6feb | [
"MIT"
] | null | null | null | from raccgen import generate
build = generate.build
pair = generate.racc | 18.25 | 28 | 0.808219 | from raccgen import generate
build = generate.build
pair = generate.racc | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e7ba4f2dc1ca119416d3cf36c7b42ba7a67d180e | 1,632 | py | Python | app/api/models.py | tarp20/testapi | 7109b7189f535d5f983df7f643e6bfe712fff6b1 | [
"MIT"
] | null | null | null | app/api/models.py | tarp20/testapi | 7109b7189f535d5f983df7f643e6bfe712fff6b1 | [
"MIT"
] | null | null | null | app/api/models.py | tarp20/testapi | 7109b7189f535d5f983df7f643e6bfe712fff6b1 | [
"MIT"
] | null | null | null |
# def validate_color(color):
# match = re.search(r'^#(?:[0-9a-fA-F]{3}){1,2}$', color)
# if match == False:
# raise ValidationError(
# _('%(color)s is not an even number'),
# params={'color': color},
# )
| 41.846154 | 113 | 0.509804 | from django.db import models
from django.core.exceptions import ValidationError
from django.core.validators import MaxValueValidator, MinValueValidator
import uuid
# def validate_color(color):
# match = re.search(r'^#(?:[0-9a-fA-F]{3}){1,2}$', color)
# if match == False:
# raise ValidationError(
# ... | 0 | 0 | 0 | 1,190 | 0 | 0 | 0 | 76 | 111 |
4f8ae9451d8fd3bb3e31eb0b951eb9a25edaf19e | 2,223 | py | Python | wolframclient/language/__init__.py | jldohmann/WolframClientForPython | 15cb8ba21f8a08ab17f041f2cbf46ae165e64004 | [
"MIT"
] | 358 | 2018-10-18T13:39:48.000Z | 2022-03-26T09:42:53.000Z | wolframclient/language/__init__.py | jldohmann/WolframClientForPython | 15cb8ba21f8a08ab17f041f2cbf46ae165e64004 | [
"MIT"
] | 29 | 2018-10-20T09:04:12.000Z | 2022-03-06T18:36:19.000Z | wolframclient/language/__init__.py | jldohmann/WolframClientForPython | 15cb8ba21f8a08ab17f041f2cbf46ae165e64004 | [
"MIT"
] | 38 | 2018-10-19T21:52:14.000Z | 2021-11-21T13:07:04.000Z | from __future__ import absolute_import, print_function, unicode_literals
from wolframclient.language.expression import WLInputExpression, WLSymbolFactory
wl = WLSymbolFactory()
"""A factory of :class:`~wolframclient.language.expression.WLSymbol` instances without any particular context.
This instance of :class:`~wol... | 26.464286 | 110 | 0.732344 | from __future__ import absolute_import, print_function, unicode_literals
from wolframclient.language.expression import WLInputExpression, WLSymbolFactory
wl = WLSymbolFactory()
"""A factory of :class:`~wolframclient.language.expression.WLSymbol` instances without any particular context.
This instance of :class:`~wol... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cb1b921d4aab5f39482998b9f5ac2b12152dfbff | 803 | py | Python | src/alchemtest/namd/access.py | harlor/alchemtest | 9a126e256d538bcffd0cb4e0ca5bccc60ca3a2ab | [
"BSD-3-Clause"
] | null | null | null | src/alchemtest/namd/access.py | harlor/alchemtest | 9a126e256d538bcffd0cb4e0ca5bccc60ca3a2ab | [
"BSD-3-Clause"
] | null | null | null | src/alchemtest/namd/access.py | harlor/alchemtest | 9a126e256d538bcffd0cb4e0ca5bccc60ca3a2ab | [
"BSD-3-Clause"
] | null | null | null | """Accessors for NAMD FEP datasets.
"""
from os.path import dirname, join
from glob import glob
from .. import Bunch
def load_tyr2ala():
"""Load the NAMD tyrosine to alanine mutation dataset.
Returns
-------
data : Bunch
Dictionary-like object, the interesting attributes are:
- 'da... | 24.333333 | 89 | 0.637609 | """Accessors for NAMD FEP datasets.
"""
from os.path import dirname, join
from glob import glob
from .. import Bunch
def load_tyr2ala():
"""Load the NAMD tyrosine to alanine mutation dataset.
Returns
-------
data : Bunch
Dictionary-like object, the interesting attributes are:
- 'da... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c421dcaf714881c080bc10b4974cf75fa47ce8fb | 1,441 | py | Python | ta/ex00.py | stormabq/python-examples | 1c1acfc3863a2cf1a9e202c9299f3a526858eb34 | [
"MIT"
] | 1 | 2021-12-12T04:39:53.000Z | 2021-12-12T04:39:53.000Z | ta/ex00.py | stormabq/python-examples | 1c1acfc3863a2cf1a9e202c9299f3a526858eb34 | [
"MIT"
] | null | null | null | ta/ex00.py | stormabq/python-examples | 1c1acfc3863a2cf1a9e202c9299f3a526858eb34 | [
"MIT"
] | 6 | 2020-05-05T17:21:28.000Z | 2021-12-12T04:39:57.000Z | import pandas as pd
import ta
# Load data
df = pd.read_csv('ui.csv', sep=',')
# Clean nan values
df = ta.utils.dropna(df)
print('roc')
print(ta.momentum.roc(close=df['close']),40)
print('-----------------------------------')
print('rsi')
print(ta.momentum.rsi(close=df['close']),14)
print('---------------------------... | 32.75 | 58 | 0.519084 | import pandas as pd
import ta
# Load data
df = pd.read_csv('ui.csv', sep=',')
# Clean nan values
df = ta.utils.dropna(df)
print('roc')
print(ta.momentum.roc(close=df['close']),40)
print('-----------------------------------')
print('rsi')
print(ta.momentum.rsi(close=df['close']),14)
print('---------------------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6769e1e59f92f6cd5ed42e6c26ee0c30a14a3f22 | 172 | py | Python | tempest/lis/core/__init__.py | paulaCrismaru/lis-tempest | 4f142db3967971ee42c4fcff01be363bbdc4bc54 | [
"Apache-2.0"
] | 3 | 2016-07-15T12:27:23.000Z | 2021-04-23T04:41:10.000Z | tempest/lis/core/__init__.py | LIS/lis-tempest | 8e6403b2d6de81c5d18ed867b4977385c8278b75 | [
"Apache-2.0"
] | null | null | null | tempest/lis/core/__init__.py | LIS/lis-tempest | 8e6403b2d6de81c5d18ed867b4977385c8278b75 | [
"Apache-2.0"
] | 12 | 2016-07-14T18:13:05.000Z | 2017-07-08T18:45:42.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: dpaslaru
# @Date: 2014-09-17 18:36:03
# @Last Modified by: dpaslaru
# @Last Modified time: 2014-09-17 19:40:59
| 24.571429 | 42 | 0.633721 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: dpaslaru
# @Date: 2014-09-17 18:36:03
# @Last Modified by: dpaslaru
# @Last Modified time: 2014-09-17 19:40:59
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70900508a650ccd05650ec5b2b46870f0bbe66a7 | 16,187 | py | Python | includes/snv-indels/scripts/vcf2json.py | Miachol/hamlet | 86c180179053be624b572a0cc1e53769835eb298 | [
"MIT"
] | 3 | 2020-08-03T20:35:40.000Z | 2020-11-19T05:42:16.000Z | includes/snv-indels/scripts/vcf2json.py | Miachol/hamlet | 86c180179053be624b572a0cc1e53769835eb298 | [
"MIT"
] | 16 | 2020-06-05T17:12:16.000Z | 2022-02-16T13:30:09.000Z | includes/snv-indels/scripts/vcf2json.py | Miachol/hamlet | 86c180179053be624b572a0cc1e53769835eb298 | [
"MIT"
] | 2 | 2020-12-07T08:04:07.000Z | 2021-12-26T04:01:51.000Z | #!/usr/bin/env python3
"""
Script for extracting a JSON payload for plotting from VarScan VCF files
annotated with VEP.
Only samples with calls are returned.
If a file containing Ensembl IDs (one per line) is supplied, only records
associated with the IDs are returned.
Requirements:
* Python 3.x
* PyVCF 0.6... | 37.731935 | 79 | 0.587756 | #!/usr/bin/env python3
"""
Script for extracting a JSON payload for plotting from VarScan VCF files
annotated with VEP.
Only samples with calls are returned.
If a file containing Ensembl IDs (one per line) is supplied, only records
associated with the IDs are returned.
Requirements:
* Python 3.x
* PyVCF 0.6... | 0 | 2,425 | 0 | 0 | 0 | 2,283 | 0 | -37 | 238 |
47d67142613ed882df35f538e398488908619d7e | 2,487 | py | Python | simuvex/procedures/cgc/receive.py | praetorian-inc/simuvex | 7984bc4432a1c2126e6f2eb963c935e9f6a98da5 | [
"BSD-2-Clause"
] | 8 | 2016-01-19T03:13:32.000Z | 2020-11-03T09:30:05.000Z | simuvex/procedures/cgc/receive.py | praetorian-inc/simuvex | 7984bc4432a1c2126e6f2eb963c935e9f6a98da5 | [
"BSD-2-Clause"
] | null | null | null | simuvex/procedures/cgc/receive.py | praetorian-inc/simuvex | 7984bc4432a1c2126e6f2eb963c935e9f6a98da5 | [
"BSD-2-Clause"
] | 3 | 2017-04-24T00:22:30.000Z | 2020-11-03T09:30:06.000Z | from itertools import count
fastpath_data_counter = count()
| 42.87931 | 109 | 0.593486 | import simuvex
from itertools import count
fastpath_data_counter = count()
class receive(simuvex.SimProcedure):
#pylint:disable=arguments-differ
def run(self, fd, buf, count, rx_bytes):
if self.state.mode == 'fastpath':
# Special case for CFG generation
if not self.state.se.s... | 0 | 0 | 0 | 2,309 | 0 | 0 | 0 | 49 | 68 |
48e0c754ff8bfff8020c330d75e068d0bec374f6 | 871 | py | Python | perif.py | AlanTurist/Prefecture_Greece_covid19 | 1879080428c749a1df0e1e26f7f540e31ef0a01b | [
"MIT"
] | 1 | 2020-04-15T10:22:49.000Z | 2020-04-15T10:22:49.000Z | perif.py | AlanTurist/Prefecture_Greece_covid19 | 1879080428c749a1df0e1e26f7f540e31ef0a01b | [
"MIT"
] | null | null | null | perif.py | AlanTurist/Prefecture_Greece_covid19 | 1879080428c749a1df0e1e26f7f540e31ef0a01b | [
"MIT"
] | null | null | null | import datetime
data = datetime.datetime.now()
data1 = data.strftime("%d-%m-%Y %H:%M:%S")
import pandas as pd
url = 'https://raw.githubusercontent.com/AlanTurist/Greece_covid19/master/region_greece.csv'
df = pd.read_csv(url,index_col=0, sep=",") | 33.5 | 92 | 0.603904 | import datetime
data = datetime.datetime.now()
data1 = data.strftime("%d-%m-%Y %H:%M:%S")
import pandas as pd
url = 'https://raw.githubusercontent.com/AlanTurist/Greece_covid19/master/region_greece.csv'
df = pd.read_csv(url,index_col=0, sep=",")
def regione(reg, x, y):
reg1 = df.iloc[x]
D1 = reg1['CASES']
... | 258 | 0 | 0 | 0 | 0 | 473 | 0 | 0 | 23 |
0e86bb35579ae55e6b4845a4183b318b0e4e0293 | 2,273 | py | Python | Python Programming Advanced/Lambda functions-111.py | vipmunot/Data-Analysis-using-Python | 34586d8cbbc336508c4a7a68abe14944f1096252 | [
"MIT"
] | null | null | null | Python Programming Advanced/Lambda functions-111.py | vipmunot/Data-Analysis-using-Python | 34586d8cbbc336508c4a7a68abe14944f1096252 | [
"MIT"
] | null | null | null | Python Programming Advanced/Lambda functions-111.py | vipmunot/Data-Analysis-using-Python | 34586d8cbbc336508c4a7a68abe14944f1096252 | [
"MIT"
] | null | null | null | ## 1. String Manipulation ##
hello = "hello world"[0:5]
foo = "some string"
password = "password"
print(foo[5:11])
# Your code goes here
fifth = password[4]
last_four = password[len(password)-4:]
## 2. Omitting starting or ending indices ##
hello = "hello world"[:5]
foo = "some string"
print(foo[5:])
my_string = ... | 22.959596 | 95 | 0.679278 | ## 1. String Manipulation ##
hello = "hello world"[0:5]
foo = "some string"
password = "password"
print(foo[5:11])
# Your code goes here
fifth = password[4]
last_four = password[len(password)-4:]
## 2. Omitting starting or ending indices ##
hello = "hello world"[:5]
foo = "some string"
print(foo[5:])
my_string = ... | 0 | 0 | 0 | 0 | 0 | 216 | 0 | 0 | 67 |
167f00a31ad041b0803343ed27abb9b05a784302 | 1,018 | py | Python | misc/count_tags.py | kxxt/taichi | 15f39b79c258080f1e34fcbdc29646d9ced0a4fe | [
"MIT"
] | 11,699 | 2020-01-09T03:02:46.000Z | 2022-03-31T20:59:08.000Z | misc/count_tags.py | kxxt/taichi | 15f39b79c258080f1e34fcbdc29646d9ced0a4fe | [
"MIT"
] | 3,589 | 2020-01-09T03:18:25.000Z | 2022-03-31T19:06:42.000Z | misc/count_tags.py | kxxt/taichi | 15f39b79c258080f1e34fcbdc29646d9ced0a4fe | [
"MIT"
] | 1,391 | 2020-01-09T03:02:54.000Z | 2022-03-31T08:44:29.000Z |
from git import Repo
commits = list(Repo('.').iter_commits('master'))
authors = {}
notable = {}
changelog = {}
for i, c in enumerate(commits):
s = c.summary
tags = []
while s[0] == '[':
r = s.find(']')
tag = s[1:r]
tags.append(tag)
s = s[r + 1:]
s = s.strip()
... | 19.960784 | 63 | 0.524558 | import os
import sys
from git import Repo
commits = list(Repo('.').iter_commits('master'))
authors = {}
notable = {}
changelog = {}
for i, c in enumerate(commits):
s = c.summary
tags = []
while s[0] == '[':
r = s.find(']')
tag = s[1:r]
tags.append(tag)
s = s[r + 1:]
... | 0 | 0 | 0 | 0 | 0 | 221 | 0 | -23 | 67 |
ce46e68bfdd8312ac30c4c78fa9111dd69d532f5 | 145,663 | py | Python | evermotion_dataset/_dataset_config.py | akx/ml-hypersim | 9bf9a55e1189fe92147dc64386b244c07195e3b7 | [
"AML"
] | 2 | 2021-04-19T09:18:32.000Z | 2021-08-25T15:02:51.000Z | evermotion_dataset/_dataset_config.py | lingjie0206/ml-hypersim | 2408fbafe580246108585f9c46780dc62f284cfc | [
"AML"
] | null | null | null | evermotion_dataset/_dataset_config.py | lingjie0206/ml-hypersim | 2408fbafe580246108585f9c46780dc62f284cfc | [
"AML"
] | 1 | 2020-12-20T08:06:38.000Z | 2020-12-20T08:06:38.000Z | # do not import pylab, because this file may need to be loaded from Python environments that don't necessarily have access to pylab
# from pylab import *
import os
scenes = []
#
# Archinteriors volumes 00-09
#
scenes.append({"name": "ai_001_001", "archive_file": "AI1_001.rar", "asset_fil... | 206.90767 | 280 | 0.558062 | # do not import pylab, because this file may need to be loaded from Python environments that don't necessarily have access to pylab
# from pylab import *
import os
scenes = []
#
# Archinteriors volumes 00-09
#
scenes.append({"name": "ai_001_001", "archive_file": "AI1_001.rar", "asset_fil... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a4ab0611baac1f8c650c351abe6d91f27e0b3686 | 9,529 | py | Python | source/multi_translation.py | wasiahmad/SumGenToBT | 84cc82a23c3207811a6b17dfd408570e94009c29 | [
"MIT"
] | 1 | 2022-02-25T11:19:35.000Z | 2022-02-25T11:19:35.000Z | source/multi_translation.py | wasiahmad/SumGenToBT | 84cc82a23c3207811a6b17dfd408570e94009c29 | [
"MIT"
] | null | null | null | source/multi_translation.py | wasiahmad/SumGenToBT | 84cc82a23c3207811a6b17dfd408570e94009c29 | [
"MIT"
] | null | null | null | import logging
EVAL_BLEU_ORDER = 4
logger = logging.getLogger(__name__)
| 47.173267 | 97 | 0.579809 | import json
import logging
from argparse import Namespace
import numpy as np
from fairseq import metrics, search, utils
from fairseq.data import encoders
from fairseq.tasks import register_task
from fairseq.tasks.translation_multi_simple_epoch import TranslationMultiSimpleEpochTask
from fairseq.sequence_generator impo... | 0 | 9,105 | 0 | 0 | 0 | 0 | 0 | 149 | 200 |
636d3e6970a2911262446ae2f61a792877d42005 | 722 | py | Python | timemachines/skatertools/tuning/hyperplot.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 253 | 2021-01-08T17:33:30.000Z | 2022-03-21T17:32:36.000Z | timemachines/skatertools/tuning/hyperplot.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 65 | 2021-01-20T16:43:35.000Z | 2022-03-30T19:07:22.000Z | timemachines/skatertools/tuning/hyperplot.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 28 | 2021-02-04T14:58:30.000Z | 2022-01-17T04:35:17.000Z |
import numpy as np
import matplotlib.pyplot as plt
# TODO
def mesh2d_(f,*args):
""" Plot function taking len 2 vector as single argument
f(xs)
"""
mesh2d(g,*args)
def mesh2d(f,*args):
""" Plot function taking two arguments
f(x,y)
"""
fig = plt.figure()
ax = fig.add_sub... | 21.878788 | 81 | 0.569252 |
import numpy as np
import matplotlib.pyplot as plt
# TODO
def mesh2d_(f,*args):
""" Plot function taking len 2 vector as single argument
f(xs)
"""
def g(x,y,*args):
return f(np.array([x,y]),*args)
mesh2d(g,*args)
def mesh2d(f,*args):
""" Plot function taking two arguments
... | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 26 |
74ef960b68aa3ee63dede0d921c360b162415b73 | 8,151 | py | Python | scripts/pipeline.py | STASYA00/CityMorph | 18b8273a1ae0a4e8f234850d0c98640a2483ab04 | [
"MIT"
] | null | null | null | scripts/pipeline.py | STASYA00/CityMorph | 18b8273a1ae0a4e8f234850d0c98640a2483ab04 | [
"MIT"
] | null | null | null | scripts/pipeline.py | STASYA00/CityMorph | 18b8273a1ae0a4e8f234850d0c98640a2483ab04 | [
"MIT"
] | null | null | null | import argparse
import sys
import textwrap
sys.path.append('scripts/')
from writer import CsvWriter
if __name__ == '__main__':
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent('''\
USAGE: python pipeline.py area.shp
------------... | 29.857143 | 94 | 0.692921 | import argparse
import geopandas as gpd
import pandas as pd
from shapely.geometry import MultiPolygon
import sys
import textwrap
sys.path.append('scripts/')
from config import METRICS, CANVAS, PROCESS_METRICS
from grid import Grid, CellCalculator
from metrics import Metric, CMetric, ClusterNumberMetric, MinimumCluster... | 0 | 0 | 0 | 5,931 | 0 | 0 | 0 | 251 | 360 |
418d0b0ea38c4e1b4bf7c1794137c506f0d9cef0 | 1,206 | py | Python | django_pg/utils/types.py | OlgaBorisova/django-pgfields | fc21efc116d017f1bf75c88fa3502cc23f8923b3 | [
"BSD-3-Clause"
] | 1 | 2015-03-26T09:34:32.000Z | 2015-03-26T09:34:32.000Z | django_pg/utils/types.py | elbaschid/django-pgfields | 37915b92349c392ed4980d255225e991be3463d6 | [
"BSD-3-Clause"
] | null | null | null | django_pg/utils/types.py | elbaschid/django-pgfields | 37915b92349c392ed4980d255225e991be3463d6 | [
"BSD-3-Clause"
] | 1 | 2018-10-23T21:31:29.000Z | 2018-10-23T21:31:29.000Z | from __future__ import absolute_import, unicode_literals
# Taken from the following StackOverflow answer:
# http://stackoverflow.com/a/3703727/199176
SELECT_TYPES_SQL = """
SELECT n.nspname as schema, t.typname as type
FROM pg_type t
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = t.typnamespace
W... | 30.923077 | 75 | 0.645937 | from __future__ import absolute_import, unicode_literals
# Taken from the following StackOverflow answer:
# http://stackoverflow.com/a/3703727/199176
SELECT_TYPES_SQL = """
SELECT n.nspname as schema, t.typname as type
FROM pg_type t
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = t.typnamespace
W... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
36ed4f804e7a5a401d8cba82007181d48fabe4e7 | 2,909 | py | Python | twder/api.py | kenit/twder | 9169f6af2a150e09d980568e15f813211f71fe8a | [
"MIT"
] | null | null | null | twder/api.py | kenit/twder | 9169f6af2a150e09d980568e15f813211f71fe8a | [
"MIT"
] | null | null | null | twder/api.py | kenit/twder | 9169f6af2a150e09d980568e15f813211f71fe8a | [
"MIT"
] | null | null | null | from re import match
__CURRENT_QUOTE_URL = "http://rate.bot.com.tw/xrt?Lang=zh-TW"
__HISTORY_QUOTE_URL_PATTERN = "http://rate.bot.com.tw/xrt/quote/{range}/{currency}"
__NAME_DICT = {}
def now_all():
"""
:rtype: dict
"""
ret = {}
tree = __parse_tree(__CURRENT_QUOTE_URL)
table = tree.xpath(u'... | 23.650407 | 88 | 0.625645 | from re import match
from io import BytesIO
from lxml import etree
from urllib import request
__CURRENT_QUOTE_URL = "http://rate.bot.com.tw/xrt?Lang=zh-TW"
__HISTORY_QUOTE_URL_PATTERN = "http://rate.bot.com.tw/xrt/quote/{range}/{currency}"
__NAME_DICT = {}
def __parse_tree(url):
contents = request.urlopen(url).r... | 357 | 0 | 0 | 0 | 0 | 622 | 0 | 7 | 112 |
0df083d0d22b89cb0d0b55987105259b56d27408 | 819 | py | Python | preprocess.py | microbo-ru/sber_zvuk | bc81b98ed968fc5dfb8bfc64098754a216890256 | [
"MIT"
] | 1 | 2021-10-31T08:56:00.000Z | 2021-10-31T08:56:00.000Z | preprocess.py | microbo-ru/sber_zvuk | bc81b98ed968fc5dfb8bfc64098754a216890256 | [
"MIT"
] | 11 | 2021-10-30T12:23:41.000Z | 2021-10-31T14:14:26.000Z | preprocess.py | microbo-ru/sber_zvuk | bc81b98ed968fc5dfb8bfc64098754a216890256 | [
"MIT"
] | null | null | null |
# split("D://hackathon_part_1.mp4", "D:/datasets/")
| 24.818182 | 79 | 0.732601 | from moviepy.editor import *
import os
def split(video_path, save_path):
original_video = VideoFileClip(video_path)
audio_clip = original_video.audio
audio_clip.write_audiofile(
os.path.join(save_path, "extracted_audio.wav"),
codec='pcm_s16le')
audio_clip.close()
muted_video = o... | 16 | 0 | 0 | 0 | 0 | 671 | 0 | -5 | 90 |
ac747ae69c9cc8973936876daf8baeae5d77a9d6 | 961 | py | Python | python/kyu-6/stop-spinning-words/stop_gninnips_my_sdrow.py | ledwindra/codewars | 0552669a69e801cfe5f9a3696a4d98be63a96951 | [
"WTFPL"
] | 1 | 2020-11-13T16:55:04.000Z | 2020-11-13T16:55:04.000Z | python/kyu-6/stop-spinning-words/stop_gninnips_my_sdrow.py | ledwindra/codewars | 0552669a69e801cfe5f9a3696a4d98be63a96951 | [
"WTFPL"
] | 1 | 2020-01-28T15:48:17.000Z | 2020-01-28T15:48:17.000Z | python/kyu-6/stop-spinning-words/stop_gninnips_my_sdrow.py | ledwindra/codewars | 0552669a69e801cfe5f9a3696a4d98be63a96951 | [
"WTFPL"
] | null | null | null | def spin_words(sentence=None):
"""
Description:
Write a function that takes in a string of one or more words, and returns the same string, but with all five or
more letter words reversed (Just like the name of this Kata). Strings passed in will consist of only letters and
spaces. Spaces will ... | 33.137931 | 117 | 0.636837 | def spin_words(sentence=None):
"""
Description:
Write a function that takes in a string of one or more words, and returns the same string, but with all five or
more letter words reversed (Just like the name of this Kata). Strings passed in will consist of only letters and
spaces. Spaces will ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7692241d716c49819bb92a649836684c9879bfda | 12,196 | py | Python | libraries/galaxy/adapter.py | mainulhossain/phenowl | b187db737d501d679c8f3c140cc90bd84f5c2093 | [
"MIT"
] | null | null | null | libraries/galaxy/adapter.py | mainulhossain/phenowl | b187db737d501d679c8f3c140cc90bd84f5c2093 | [
"MIT"
] | null | null | null | libraries/galaxy/adapter.py | mainulhossain/phenowl | b187db737d501d679c8f3c140cc90bd84f5c2093 | [
"MIT"
] | null | null | null |
#gi = GalaxyInstance(url='http://sr-p2irc-big8.usask.ca:8080', key='7483fa940d53add053903042c39f853a')
# r = toolClient.run_tool('a799d38679e985db', 'toolshed.g2.bx.psu.edu/repos/devteam/fastq_groomer/fastq_groomer/1.0.4', params)
#===============================================================================
# ru... | 31.191816 | 146 | 0.602001 | from bioblend.galaxy import GalaxyInstance
from bioblend.galaxy.histories import HistoryClient
from bioblend.galaxy.libraries import LibraryClient
from bioblend.galaxy.tools import ToolClient
from bioblend.galaxy.datasets import DatasetClient
from bioblend.galaxy.jobs import JobsClient
from urllib.parse import urlpars... | 0 | 0 | 0 | 0 | 0 | 8,367 | 0 | 143 | 1,458 |
8e73c495873dcd76ae405e957e60f389cf05d699 | 5,530 | py | Python | src/modules/go_pwdb/test_cli.py | woza/exobrain | cd2f651de1190078a7bfdd6bd199377108b105d0 | [
"MIT"
] | null | null | null | src/modules/go_pwdb/test_cli.py | woza/exobrain | cd2f651de1190078a7bfdd6bd199377108b105d0 | [
"MIT"
] | null | null | null | src/modules/go_pwdb/test_cli.py | woza/exobrain | cd2f651de1190078a7bfdd6bd199377108b105d0 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
import sys
# Process args and build conf, expectations
parser = argparse.ArgumentParser(description="Exobrain Test CLI")
parser.add_argument("--key", required=True)
parser.add_argument("--cert", required=True)
parser.add_argument("--ca", required=True)
parser.add_argument(... | 31.420455 | 101 | 0.590235 | #!/usr/bin/python3
import struct
import time
import argparse
import ssl
import socket
import sys
import os
from concurrent.futures import ProcessPoolExecutor
class TestFail (Exception):
pass
def get_all( src, todo ):
ret = src.recv(todo)
while len(ret) < todo:
chunk = src.recv(todo-len(ret))
... | 0 | 0 | 0 | 2,527 | 0 | 1,682 | 0 | -20 | 271 |
ab1589fdb33dfd7a795e75dae9a2fcefbce12c1d | 133,284 | py | Python | src/oci/mysql/db_system_client.py | CentroidChef/oci-python-sdk | fa406e27a52b40c70e220c20f52dfe2abe6236a3 | [
"Apache-2.0",
"BSD-3-Clause"
] | 249 | 2017-09-11T22:06:05.000Z | 2022-03-04T17:09:29.000Z | src/oci/mysql/db_system_client.py | CentroidChef/oci-python-sdk | fa406e27a52b40c70e220c20f52dfe2abe6236a3 | [
"Apache-2.0",
"BSD-3-Clause"
] | 228 | 2017-09-11T23:07:26.000Z | 2022-03-23T10:58:50.000Z | src/oci/mysql/db_system_client.py | CentroidChef/oci-python-sdk | fa406e27a52b40c70e220c20f52dfe2abe6236a3 | [
"Apache-2.0",
"BSD-3-Clause"
] | 224 | 2017-09-27T07:32:43.000Z | 2022-03-25T16:55:42.000Z | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 49.382734 | 261 | 0.652231 | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 0 | 0 | 0 | 132,443 | 0 | 0 | 0 | 191 | 207 |
e013976ab32de05a13bbb45298616c4488163076 | 986 | py | Python | cookiecutter/operators/json.py | insight-infrastructure/cookiecutter | 5e77a6f59786759cf1b469e7bd827b6d340a31c6 | [
"BSD-3-Clause"
] | 8 | 2020-06-15T18:49:24.000Z | 2021-04-15T10:34:24.000Z | cookiecutter/operators/json.py | insight-infrastructure/cookiecutter | 5e77a6f59786759cf1b469e7bd827b6d340a31c6 | [
"BSD-3-Clause"
] | 19 | 2020-06-28T16:03:56.000Z | 2020-10-07T15:52:06.000Z | cookiecutter/operators/json.py | insight-infrastructure/nukikata | 5e77a6f59786759cf1b469e7bd827b6d340a31c6 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Operator plugin that inherits a base class and is made available through `type`."""
from __future__ import unicode_literals
from __future__ import print_function
import logging
logger = logging.getLogger(__name__)
| 23.47619 | 86 | 0.649087 | # -*- coding: utf-8 -*-
"""Operator plugin that inherits a base class and is made available through `type`."""
from __future__ import unicode_literals
from __future__ import print_function
import logging
import json
from typing import Dict
from cookiecutter.operators import BaseOperator
logger = logging.getLogger(_... | 0 | 0 | 0 | 633 | 0 | 0 | 0 | 18 | 90 |
9d71b34d0fc7e90b90e7eaec71dd1935fac5864b | 1,080 | py | Python | Klines_BollBrand/requestData.py | xiwen-hk/HBInterviewQuestion | f099011fdb8ef9d0c4bfebbdf645908655d245f6 | [
"MIT"
] | null | null | null | Klines_BollBrand/requestData.py | xiwen-hk/HBInterviewQuestion | f099011fdb8ef9d0c4bfebbdf645908655d245f6 | [
"MIT"
] | null | null | null | Klines_BollBrand/requestData.py | xiwen-hk/HBInterviewQuestion | f099011fdb8ef9d0c4bfebbdf645908655d245f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun May 17 22:02:56 2020
@author: cuixiwen
"""
#Import essential packages
#def a function to using huobi API to get history Kline data and return a dataframe
#Get current Price | 27 | 97 | 0.662037 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun May 17 22:02:56 2020
@author: cuixiwen
"""
#Import essential packages
import requests
import pandas as pd
import time
import datetime
from datetime import timedelta
#def a function to using huobi API to get history Kline data and return a dataframe
de... | 0 | 0 | 0 | 0 | 0 | 699 | 0 | -15 | 154 |
be8631a96244cdd4ef0b3543cb79e29eed3ae439 | 3,696 | py | Python | rllab/torch/algos/training_algo.py | NeurIPSPaperSubmission7934/code_submission | 713fce673e8e3ba30b559d4eebe6d3e4891069ed | [
"Apache-2.0"
] | null | null | null | rllab/torch/algos/training_algo.py | NeurIPSPaperSubmission7934/code_submission | 713fce673e8e3ba30b559d4eebe6d3e4891069ed | [
"Apache-2.0"
] | null | null | null | rllab/torch/algos/training_algo.py | NeurIPSPaperSubmission7934/code_submission | 713fce673e8e3ba30b559d4eebe6d3e4891069ed | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018 Copyright holder of the paper Generative Adversarial Model Learning
# submitted to NeurIPS 2019 for review
# All rights reserved.
import rllab.misc.logger as logger
"""
class which is used for GAIL training to imitate a expert policy
"""
| 34.542056 | 143 | 0.657197 | # Copyright (c) 2018 Copyright holder of the paper Generative Adversarial Model Learning
# submitted to NeurIPS 2019 for review
# All rights reserved.
import rllab.misc.logger as logger
from rllab.torch.sampler.torchSampler import TorchBaseSampler
from rllab.sampler import parallel_sampler
from rllab.algos.base import... | 0 | 150 | 0 | 2,934 | 0 | 0 | 0 | 151 | 199 |
3e96ecd6c391e744b22d8d2fe8c14570ae0410be | 1,174 | py | Python | ga_auth/views.py | wolfskaempf/ga_statistics | 9fdfd0b4300f5d8541fd7ce4b643592fab6b7a1e | [
"MIT"
] | 3 | 2015-05-11T19:37:08.000Z | 2015-07-12T13:01:36.000Z | ga_auth/views.py | wolfskaempf/ga_statistics | 9fdfd0b4300f5d8541fd7ce4b643592fab6b7a1e | [
"MIT"
] | 18 | 2015-05-06T21:14:14.000Z | 2015-08-29T18:24:43.000Z | ga_auth/views.py | wolfskaempf/ga_statistics | 9fdfd0b4300f5d8541fd7ce4b643592fab6b7a1e | [
"MIT"
] | 1 | 2020-11-04T08:44:13.000Z | 2020-11-04T08:44:13.000Z |
# Create your views here.
| 29.35 | 134 | 0.639693 | from django.shortcuts import render, HttpResponseRedirect
from .forms import LoginForm
from django.contrib.auth import get_user_model, authenticate, login, logout
# Create your views here.
def ga_login(request):
# This view is shown, when a user tries to view the submit form, but isn't logged in. After they log in,... | 0 | 0 | 0 | 0 | 0 | 935 | 0 | 97 | 113 |
0cf45031af64b35a0904285c9ca6e8aaf01a82f3 | 21,097 | py | Python | elecsus/libs/SAFittingRoutine.py | alifeee/ElecSus | b21a48eb65df81887960a4d7308c02aef2eae53c | [
"Apache-2.0"
] | null | null | null | elecsus/libs/SAFittingRoutine.py | alifeee/ElecSus | b21a48eb65df81887960a4d7308c02aef2eae53c | [
"Apache-2.0"
] | null | null | null | elecsus/libs/SAFittingRoutine.py | alifeee/ElecSus | b21a48eb65df81887960a4d7308c02aef2eae53c | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 M. A. Zentile, J. Keaveney, L. Weller, D. Whiting,
# C. S. Adams and I. G. Hughes.
# 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... | 31.724812 | 153 | 0.684552 | # Copyright 2014 M. A. Zentile, J. Keaveney, L. Weller, D. Whiting,
# C. S. Adams and I. G. Hughes.
# 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 | 0 | 0 | 0 | 0 | 1,988 | 0 | -24 | 90 |
7c1aa037f0c5afaf73a4eb52a446d1ff66ae93e1 | 1,508 | py | Python | tests/test_order.py | kevinddchen/Cirq-PrimeFactorization | 9104a60b983b345595c8016205dd0dd616483eaa | [
"MIT"
] | null | null | null | tests/test_order.py | kevinddchen/Cirq-PrimeFactorization | 9104a60b983b345595c8016205dd0dd616483eaa | [
"MIT"
] | null | null | null | tests/test_order.py | kevinddchen/Cirq-PrimeFactorization | 9104a60b983b345595c8016205dd0dd616483eaa | [
"MIT"
] | null | null | null | import numpy as np
TEST_RNG = np.random.default_rng(seed=2022)
TEST_N_TRIALS = 3
| 30.77551 | 74 | 0.653846 | import pytest
import numpy as np
from factor import OrderFinder, QuantumOrderFinder, FakeQuantumOrderFinder
TEST_RNG = np.random.default_rng(seed=2022)
TEST_N_TRIALS = 3
def test_order_finder():
assert OrderFinder(1, 5).find() == 1
assert OrderFinder(2, 5).find() == 4
assert OrderFinder(3, 5).find() == ... | 0 | 0 | 0 | 0 | 0 | 1,240 | 0 | 45 | 137 |
c7a6ec470e816815e95dee90c4bf8f3d02fcc3fe | 9,616 | py | Python | backends/ebpf/targets/target.py | anasyrmia/p4c-1 | 2bf2f615fdaaf4efed1f2f8ab0b3f3261cface60 | [
"Apache-2.0"
] | 487 | 2016-12-22T03:33:27.000Z | 2022-03-29T06:36:45.000Z | backends/ebpf/targets/target.py | anasyrmia/p4c-1 | 2bf2f615fdaaf4efed1f2f8ab0b3f3261cface60 | [
"Apache-2.0"
] | 2,114 | 2016-12-18T11:36:27.000Z | 2022-03-31T22:33:23.000Z | backends/ebpf/targets/target.py | anasyrmia/p4c-1 | 2bf2f615fdaaf4efed1f2f8ab0b3f3261cface60 | [
"Apache-2.0"
] | 456 | 2016-12-20T14:01:11.000Z | 2022-03-30T19:26:05.000Z | #!/usr/bin/env python3
# Copyright 2013-present Barefoot Networks, Inc.
# Copyright 2018 VMware, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 42.737778 | 78 | 0.579867 | #!/usr/bin/env python3
# Copyright 2013-present Barefoot Networks, Inc.
# Copyright 2018 VMware, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 | 0 | 0 | 8,122 | 0 | 0 | 0 | 46 | 111 |
aa54d1e8896fd31ccdac3a9f30ba585bb9aa814b | 1,275 | py | Python | test/test_unit/test_ga4gh/test_refget/test_http/test_request.py | ga4gh/refget-cloud | c39a65acba9818414789f004cced487562012bf0 | [
"Apache-2.0"
] | null | null | null | test/test_unit/test_ga4gh/test_refget/test_http/test_request.py | ga4gh/refget-cloud | c39a65acba9818414789f004cced487562012bf0 | [
"Apache-2.0"
] | 3 | 2021-04-30T21:12:42.000Z | 2021-06-02T02:11:45.000Z | test/test_unit/test_ga4gh/test_refget/test_http/test_request.py | ga4gh/refget-cloud | c39a65acba9818414789f004cced487562012bf0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Unit tests for Request class"""
testdata_header = [
("Content-Type", "appliciation/json"),
("Content-Type", "text/plain"),
("Range", "bytes=25-100")
]
testdata_path = [
("seqid", "ga4gh:SQ.HKyMuwwEWbdUDXfk5o1EGxGeqBmon6Sp"),
("seqid", "1cac8cbb0c0459b7540d77e4e68d441b119... | 26.5625 | 66 | 0.681569 | # -*- coding: utf-8 -*-
"""Unit tests for Request class"""
import pytest
from ga4gh.refget.http.request import Request
testdata_header = [
("Content-Type", "appliciation/json"),
("Content-Type", "text/plain"),
("Range", "bytes=25-100")
]
testdata_path = [
("seqid", "ga4gh:SQ.HKyMuwwEWbdUDXfk5o1EGxGeq... | 0 | 672 | 0 | 0 | 0 | 0 | 0 | 16 | 114 |
c39cbfb35cbb81f80c8ba9503c670ff99a1790f8 | 1,580 | py | Python | tcflib/examples/remote_tcf_converter.py | SeNeReKo/TCFlib | 6a0611296ec7b05557bc99f290adc71034d702b0 | [
"MIT"
] | 7 | 2015-07-07T15:39:11.000Z | 2019-10-25T05:29:50.000Z | tcflib/examples/remote_tcf_converter.py | SeNeReKo/TCFlib | 6a0611296ec7b05557bc99f290adc71034d702b0 | [
"MIT"
] | null | null | null | tcflib/examples/remote_tcf_converter.py | SeNeReKo/TCFlib | 6a0611296ec7b05557bc99f290adc71034d702b0 | [
"MIT"
] | 1 | 2019-11-12T12:28:02.000Z | 2019-11-12T12:28:02.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2013 Frederik Elwert <frederik.elwert@web.de>
#
# 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... | 35.909091 | 81 | 0.739241 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2013 Frederik Elwert <frederik.elwert@web.de>
#
# 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... | 0 | 0 | 0 | 211 | 0 | 0 | 0 | 14 | 23 |
16032043050794d9fb77058b3d5f365bf88b43e2 | 1,742 | py | Python | legacy/arbitrage_monitor_btc_huobi_coinbase.py | szhu3210/Arbitrage-trader | d2af5670f7285084f70e36a48c95e796d1fd2d37 | [
"Apache-2.0"
] | 6 | 2019-04-03T22:33:39.000Z | 2021-05-07T12:00:00.000Z | legacy/arbitrage_monitor_btc_huobi_coinbase.py | szhu3210/Arbitrage-trader | d2af5670f7285084f70e36a48c95e796d1fd2d37 | [
"Apache-2.0"
] | 2 | 2019-04-03T22:57:41.000Z | 2019-04-26T07:13:12.000Z | legacy/arbitrage_monitor_btc_huobi_coinbase.py | szhu3210/Arbitrage-trader | d2af5670f7285084f70e36a48c95e796d1fd2d37 | [
"Apache-2.0"
] | 1 | 2019-04-28T07:23:32.000Z | 2019-04-28T07:23:32.000Z |
if __name__ == '__main__':
main() | 37.06383 | 152 | 0.616533 | from coinbase.wallet.client import Client
import huobi_main_monitor
import time
import email_client
class Arbitrage_BTC():
def calculate_premium(self):
# get coinbase price
coinbase_monitor = Client(api_key='admin', api_secret='admin')
coinbase_price = float(coinbase_monitor.get_buy_price... | 0 | 0 | 0 | 957 | 0 | 601 | 0 | 12 | 134 |
e6bd0e6ba07a1db5e64fb178b03cc54f9993ae13 | 597 | py | Python | encounterapp/migrations/0026_modifydelete_author.py | AbhiyantrikTechnology/DentalHub-Backend | 89802b3e7671ffe8b3d287a998c3c4f375b58f03 | [
"MIT"
] | 1 | 2021-04-03T19:57:32.000Z | 2021-04-03T19:57:32.000Z | encounterapp/migrations/0026_modifydelete_author.py | AbhiyantrikTechnology/DentalHub-Backend | 89802b3e7671ffe8b3d287a998c3c4f375b58f03 | [
"MIT"
] | null | null | null | encounterapp/migrations/0026_modifydelete_author.py | AbhiyantrikTechnology/DentalHub-Backend | 89802b3e7671ffe8b3d287a998c3c4f375b58f03 | [
"MIT"
] | null | null | null | # Generated by Django 2.1 on 2020-07-20 05:20
| 27.136364 | 121 | 0.683417 | # Generated by Django 2.1 on 2020-07-20 05:20
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('encounterapp', '0025_auto_... | 0 | 0 | 0 | 419 | 0 | 0 | 0 | 41 | 90 |
ea47a621af640924e385d8a6f97e0fd4427bf647 | 159 | py | Python | helm-generator/generator.py | djmoran64/aether-bootstrap | 138b9bab2f1a71a8ee44a8540bfa69a6bce77fed | [
"Apache-2.0"
] | null | null | null | helm-generator/generator.py | djmoran64/aether-bootstrap | 138b9bab2f1a71a8ee44a8540bfa69a6bce77fed | [
"Apache-2.0"
] | null | null | null | helm-generator/generator.py | djmoran64/aether-bootstrap | 138b9bab2f1a71a8ee44a8540bfa69a6bce77fed | [
"Apache-2.0"
] | 1 | 2020-09-11T11:03:42.000Z | 2020-09-11T11:03:42.000Z | #!/usr/bin/env python3
import sys
if __name__ == '__main__':
sys.exit(main())
| 13.25 | 38 | 0.679245 | #!/usr/bin/env python3
import helm_generator.generator as gen
import sys
def main():
return gen.main()
if __name__ == '__main__':
sys.exit(main())
| 0 | 0 | 0 | 0 | 0 | 12 | 0 | 17 | 46 |
658336373402dd6d42a43d8188df0108b2ded4b5 | 1,513 | py | Python | internals.py | Adityakadali/Internal-marks-caliculator | ca0d9b9229c7639990184659886a52143d7becf5 | [
"Unlicense"
] | null | null | null | internals.py | Adityakadali/Internal-marks-caliculator | ca0d9b9229c7639990184659886a52143d7becf5 | [
"Unlicense"
] | null | null | null | internals.py | Adityakadali/Internal-marks-caliculator | ca0d9b9229c7639990184659886a52143d7becf5 | [
"Unlicense"
] | null | null | null | from appJar import gui
app = gui('Internal marks caliculator')
app.setBg('#8b9dc3')
app.addLabel('lb1','Enter your marks')
app.addLabelNumericEntry('class test 1')
app.addLabelNumericEntry('class test 2')
app.addLabelNumericEntry('class test 3')
app.addLabelNumericEntry('class test 4')
app.addLabelNumericEntry('mid 1'... | 37.825 | 113 | 0.744878 | from appJar import gui
app = gui('Internal marks caliculator')
app.setBg('#8b9dc3')
app.addLabel('lb1','Enter your marks')
app.addLabelNumericEntry('class test 1')
app.addLabelNumericEntry('class test 2')
app.addLabelNumericEntry('class test 3')
app.addLabelNumericEntry('class test 4')
app.addLabelNumericEntry('mid 1'... | 0 | 0 | 0 | 0 | 0 | 1,065 | 0 | 0 | 23 |
ff6a716f8022718e402608333424016a6b1889c3 | 992 | py | Python | week1/quiz1.py | pkoarmy/Learning-Python | 79067de3c09240d26939ca23ec98e96304660e7c | [
"MIT"
] | null | null | null | week1/quiz1.py | pkoarmy/Learning-Python | 79067de3c09240d26939ca23ec98e96304660e7c | [
"MIT"
] | null | null | null | week1/quiz1.py | pkoarmy/Learning-Python | 79067de3c09240d26939ca23ec98e96304660e7c | [
"MIT"
] | null | null | null | # # quiz
# # what is a result of following Python code
a = "5"
b = "6"
print( a + b )
# # 1. 11
# # 2. 5
# # 3. 6
# # 4. 56
# # 5. compile error
a=2
b=2
if (a > 5 and b < 3):
print("heheh")
else:
print("hohoho")
a=2
b=2
if (a > 5 or b < 3):
print("heheh")
else:
print("hohoho")
# ## Please code 'xx... | 15.5 | 67 | 0.565524 | # # quiz
# # what is a result of following Python code
a = "5"
b = "6"
print( a + b )
# # 1. 11
# # 2. 5
# # 3. 6
# # 4. 56
# # 5. compile error
a=2
b=2
if (a > 5 and b < 3):
print("heheh")
else:
print("hohoho")
a=2
b=2
if (a > 5 or b < 3):
print("heheh")
else:
print("hohoho")
# ## Please code 'xx... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
86514d78fd0ebfe9d94358f5e3304cc1781844d7 | 352 | py | Python | test_receiver.py | tana/oscosc | f8706b7b457a8df028e137b738a8d1b23c358191 | [
"MIT"
] | null | null | null | test_receiver.py | tana/oscosc | f8706b7b457a8df028e137b738a8d1b23c358191 | [
"MIT"
] | null | null | null | test_receiver.py | tana/oscosc | f8706b7b457a8df028e137b738a8d1b23c358191 | [
"MIT"
] | null | null | null | import time
import receiver
if __name__ == '__main__':
recv = receiver.Receiver()
recv.start_thread(12345)
try:
print('Press Ctrl-C to stop')
while True:
while recv.available():
msgs = recv.get()
print(msgs)
time.sleep(1 / 60)
fina... | 22 | 37 | 0.534091 | import time
import receiver
if __name__ == '__main__':
recv = receiver.Receiver()
recv.start_thread(12345)
try:
print('Press Ctrl-C to stop')
while True:
while recv.available():
msgs = recv.get()
print(msgs)
time.sleep(1 / 60)
fina... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e44d5fc91228b09ac97094af538e86e4af6d3285 | 10,943 | py | Python | tests/test_request_handler.py | dineshrajpurohit/slack_ttt | 2005c1dc4182e5ad4bab6c2360905307eb2bba22 | [
"MIT"
] | null | null | null | tests/test_request_handler.py | dineshrajpurohit/slack_ttt | 2005c1dc4182e5ad4bab6c2360905307eb2bba22 | [
"MIT"
] | 1 | 2021-06-01T22:17:37.000Z | 2021-06-01T22:17:37.000Z | tests/test_request_handler.py | dineshrajpurohit/slack_ttt | 2005c1dc4182e5ad4bab6c2360905307eb2bba22 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 40.52963 | 101 | 0.538792 | import unittest
from slack_ttt.native.dynamo_db import DynamoDB
from slack_ttt.request_handler import RequestHandler
class RequestHandlerTest(unittest.TestCase):
def setUp(self):
self.ddb = DynamoDB()
self.ddb.initialize_db()
params = {'channel_id': ['TESTCHANNEL'],
'user... | 0 | 0 | 0 | 10,755 | 0 | 0 | 0 | 57 | 67 |
7f6654eda735eecc1fc819b8203c3420a8a1e665 | 4,732 | py | Python | tools/convert_models/mobilenetv2_to_mmcls.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 1,190 | 2020-07-10T01:16:01.000Z | 2022-03-31T09:48:38.000Z | tools/convert_models/mobilenetv2_to_mmcls.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 702 | 2020-07-13T13:31:33.000Z | 2022-03-31T06:48:04.000Z | tools/convert_models/mobilenetv2_to_mmcls.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 502 | 2020-07-10T02:40:55.000Z | 2022-03-31T02:07:09.000Z | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
import torch
def convert(src, dst):
"""Convert keys in torchvision pretrained MobileNetV2 models to mmcls
style."""
# load pytorch model
blobs = torch.load(src, map_location='cpu')
# convert to pytorch style... | 34.794118 | 75 | 0.624683 | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import torch
def convert_conv1(model_key, model_weight, state_dict, converted_names):
if model_key.find('features.0.0') >= 0:
new_key = model_key.replace('features.0.0', 'backbone.conv1.conv')
else:
... | 0 | 0 | 0 | 0 | 0 | 3,490 | 0 | -6 | 137 |
8da8bfed687cea8b9cc13ee4429d5fbcb567ae72 | 16,846 | py | Python | converters/sol1_converter.py | NSO-developer/nfvo-converter-tosca-sol6 | 2c43900b0e96927e23c668a4c67e09d0b13f55d7 | [
"Apache-2.0"
] | 9 | 2019-06-03T07:50:37.000Z | 2021-03-26T00:25:19.000Z | converters/sol1_converter.py | NSO-developer/nfvo-converter-tosca-sol6 | 2c43900b0e96927e23c668a4c67e09d0b13f55d7 | [
"Apache-2.0"
] | null | null | null | converters/sol1_converter.py | NSO-developer/nfvo-converter-tosca-sol6 | 2c43900b0e96927e23c668a4c67e09d0b13f55d7 | [
"Apache-2.0"
] | 4 | 2020-03-06T16:16:28.000Z | 2020-09-30T06:13:56.000Z | import logging
log = logging.getLogger(__name__)
| 44.803191 | 144 | 0.611955 | from keys.sol6_keys import *
from converters.sol1_flags import *
from keys.sol6_keys import V2MapBase
from mapping_v2 import *
import logging
log = logging.getLogger(__name__)
class Sol1Converter:
def __init__(self, sol6_vnf, parsed_dict, variables):
self.sol6_vnfd = sol6_vnf["data"]["etsi-nfv-descriptor... | 0 | 465 | 0 | 16,181 | 0 | 0 | 0 | 39 | 111 |
ba89997ed3d4d4b47cd0e0c2e69535fe43114f5e | 2,351 | py | Python | Back-End/IA/worker.py | PoCInnovation/Koic | eca53b53b7242c1e83213ef9408366ca0a346358 | [
"MIT"
] | 13 | 2021-09-15T13:23:33.000Z | 2022-01-14T14:52:42.000Z | Back-End/IA/worker.py | PoCInnovation/Koic | eca53b53b7242c1e83213ef9408366ca0a346358 | [
"MIT"
] | null | null | null | Back-End/IA/worker.py | PoCInnovation/Koic | eca53b53b7242c1e83213ef9408366ca0a346358 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import asyncio
if __name__ == "__main__":
# Put configuration into the environment TODO
worker = Worker(os.getenv("TOPIC", "CAMERA_1"), os.getenv("ENDPOINT_URL", "http://localhost:5000/api"))
asyncio.run(worker.run()) | 33.112676 | 111 | 0.60655 | #!/usr/bin/env python3
import io
import sys
import cv2
import os
import json
import asyncio
import aiohttp
import numpy as np
from PIL import Image
from ai import Detector
from json import JSONEncoder
from datetime import datetime, date
from kafka import KafkaConsumer
class DateTimeEncoder(JSONEncoder):
#Override... | 0 | 0 | 1,220 | 588 | 0 | 0 | 0 | -21 | 289 |
072e3cdc4c91a6339e8907af6182bfd780d9d1bb | 15,876 | py | Python | mljob/job.py | krishnanlab/geneplexus_app | bcb6b7e7b80963f9e7c2824c385f762056ebf8c1 | [
"BSD-3-Clause"
] | null | null | null | mljob/job.py | krishnanlab/geneplexus_app | bcb6b7e7b80963f9e7c2824c385f762056ebf8c1 | [
"BSD-3-Clause"
] | 17 | 2022-03-08T18:57:32.000Z | 2022-03-22T17:47:59.000Z | mljob/job.py | krishnanlab/geneplexus_app | bcb6b7e7b80963f9e7c2824c385f762056ebf8c1 | [
"BSD-3-Clause"
] | null | null | null | # jobs.py Class to work with submitted LogicApp jobs
# RUNNING LOCALLY: shoud still use a shell script, just like a remote job
# And return control to the app rather than make it wait.
# if Jobs.config['RUN_LOCAL']:
# print("running job locally (may take a while")
# html_output = run_and_ren... | 41.129534 | 195 | 0.617599 | # jobs.py Class to work with submitted LogicApp jobs
import os,json, sys, requests
from datetime import datetime
from slugify import slugify
class Jobs():
""" system for managing running jobs Usage:
from mljob.job import Jobs
# in app init, put the class inside the app
app.jobs = Jobs
# set th... | 0 | 2,572 | 0 | 12,445 | 0 | 0 | 0 | 22 | 90 |
5635c67eed6599ecaf7ed7fab9b59738b1d54849 | 1,594 | py | Python | main/migrations/0001_initial.py | mhartley/popkids | 30add65ebc4d6fd0c3f6a1ce51bef18817d35093 | [
"MIT"
] | null | null | null | main/migrations/0001_initial.py | mhartley/popkids | 30add65ebc4d6fd0c3f6a1ce51bef18817d35093 | [
"MIT"
] | null | null | null | main/migrations/0001_initial.py | mhartley/popkids | 30add65ebc4d6fd0c3f6a1ce51bef18817d35093 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-11-04 20:19
from __future__ import unicode_literals
| 37.069767 | 114 | 0.562735 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-11-04 20:19
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Events... | 0 | 0 | 0 | 1,415 | 0 | 0 | 0 | 19 | 46 |
75c3d0d7c6c2d9bf798bfa14296b91935cd02d93 | 367 | py | Python | index.py | rludlow/nbdev_demo | 469c74b24683adc78e8b7f4bcbd3238d5fb638aa | [
"Apache-2.0"
] | null | null | null | index.py | rludlow/nbdev_demo | 469c74b24683adc78e8b7f4bcbd3238d5fb638aa | [
"Apache-2.0"
] | null | null | null | index.py | rludlow/nbdev_demo | 469c74b24683adc78e8b7f4bcbd3238d5fb638aa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[2]:
#hide
# # nbdev_demo
#
# > Just my little demo.
# This file will become your README and also the index of your documentation.
# ## Install
# `pip install nbdev_demo`
# ## How to use
# Fill me in please! Don't forget code examples:
# In[3]:
say_hello("Sylvain"... | 10.194444 | 77 | 0.643052 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
#hide
from nbdev_demo.core import *
# # nbdev_demo
#
# > Just my little demo.
# This file will become your README and also the index of your documentation.
# ## Install
# `pip install nbdev_demo`
# ## How to use
# Fill me in please! Don't forget code examples:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 22 |
6a198f01bffb2edb30f57dbe984f8e8f1c833f19 | 16,112 | py | Python | IAM/make_job_queries.py | mzz235711/IAM | e42c2b766442b666224b107b671eeab65f9b8efd | [
"Apache-2.0"
] | null | null | null | IAM/make_job_queries.py | mzz235711/IAM | e42c2b766442b666224b107b671eeab65f9b8efd | [
"Apache-2.0"
] | null | null | null | IAM/make_job_queries.py | mzz235711/IAM | e42c2b766442b666224b107b671eeab65f9b8efd | [
"Apache-2.0"
] | null | null | null | """Generates new queries on the JOB-light schema.
For each JOB-light join template, repeat #queries per template:
- sample a tuple from this inner join result via factorized_sampler
- sample #filters, and columns to put these filters on
- query literals: use this tuple's values
- sample ops: {>=, <=, =} fo... | 37.64486 | 115 | 0.581678 | """Generates new queries on the JOB-light schema.
For each JOB-light join template, repeat #queries per template:
- sample a tuple from this inner join result via factorized_sampler
- sample #filters, and columns to put these filters on
- query literals: use this tuple's values
- sample ops: {>=, <=, =} fo... | 0 | 0 | 0 | 0 | 0 | 5,606 | 0 | -22 | 203 |
d7d810fd529ba41d4857933b4383a5e6e8fa4cb9 | 719 | py | Python | selecv/figures/figure2.py | meyer-lab/cell-selective-ligands | cdcd645b7b44292aebb061b3ae9920268e8d20c8 | [
"MIT"
] | null | null | null | selecv/figures/figure2.py | meyer-lab/cell-selective-ligands | cdcd645b7b44292aebb061b3ae9920268e8d20c8 | [
"MIT"
] | 62 | 2020-09-17T14:44:30.000Z | 2022-03-12T01:07:42.000Z | selecv/figures/figure2.py | meyer-lab/cell-selective-ligands | cdcd645b7b44292aebb061b3ae9920268e8d20c8 | [
"MIT"
] | null | null | null | """
Figure 2: Quick look into mostly valency
"""
import numpy as np
ligConc = np.array([1e-8])
KxStarP = 1e-10
affinity = 1e8 # 7
| 24.793103 | 128 | 0.61057 | """
Figure 2: Quick look into mostly valency
"""
import numpy as np
from .figureCommon import subplotLabel, setFontSize, getSetup, popCompare
from .figureS2 import vieqPlot
ligConc = np.array([1e-8])
KxStarP = 1e-10
affinity = 1e8 # 7
def makeFigure():
# Get list of axis objects
ax, f = getSetup((9, 6), (2,... | 0 | 0 | 0 | 0 | 0 | 458 | 0 | 61 | 67 |
07d97e2de8d83a7782f65b73586cf306c1bbaeca | 9,465 | py | Python | tests/jarutil.py | sokoslee/jvm.py | 5d5442bad2506880fc6af5a17933f9f241bbc487 | [
"Apache-2.0"
] | null | null | null | tests/jarutil.py | sokoslee/jvm.py | 5d5442bad2506880fc6af5a17933f9f241bbc487 | [
"Apache-2.0"
] | null | null | null | tests/jarutil.py | sokoslee/jvm.py | 5d5442bad2506880fc6af5a17933f9f241bbc487 | [
"Apache-2.0"
] | null | null | null | # This library is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Foundation; either version 3 of the
# License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be usefu... | 41.331878 | 185 | 0.65177 | # This library is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Foundation; either version 3 of the
# License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be usefu... | 0 | 0 | 0 | 8,225 | 0 | 0 | 0 | 263 | 157 |
6a6599c3ec24ddb0a291f5fcbc7886a532a05587 | 5,959 | py | Python | thapbi_pict/ena_submit.py | HuttonICS/thapbi-pict | fde07d192d9ecf011c75fffe3c180d3b72e17e06 | [
"MIT"
] | 6 | 2019-06-17T07:39:02.000Z | 2021-11-19T18:42:17.000Z | thapbi_pict/ena_submit.py | HuttonICS/thapbi-pict | fde07d192d9ecf011c75fffe3c180d3b72e17e06 | [
"MIT"
] | 244 | 2018-10-24T13:35:51.000Z | 2022-03-10T14:13:28.000Z | thapbi_pict/ena_submit.py | HuttonICS/thapbi-pict | fde07d192d9ecf011c75fffe3c180d3b72e17e06 | [
"MIT"
] | 1 | 2018-10-24T12:15:36.000Z | 2018-10-24T12:15:36.000Z | # Copyright 2019-2020 by Peter Cock, The James Hutton Institute.
# All rights reserved.
# This file is part of the THAPBI Phytophthora ITS1 Classifier Tool (PICT),
# and is released under the "MIT License Agreement". Please see the LICENSE
# file that should have been included as part of this package.
"""Code for sampl... | 31.86631 | 88 | 0.624266 | # Copyright 2019-2020 by Peter Cock, The James Hutton Institute.
# All rights reserved.
# This file is part of the THAPBI Phytophthora ITS1 Classifier Tool (PICT),
# and is released under the "MIT License Agreement". Please see the LICENSE
# file that should have been included as part of this package.
"""Code for sampl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
44badcfc20c623263aad993b4fde7c366018b4bc | 3,647 | py | Python | poly_features_class.py | ThomIves/MachineLearningModulePurePy | 25ecc668e0883dc651edbda47618a1fb8c33cc07 | [
"Unlicense"
] | 4 | 2019-10-31T09:10:53.000Z | 2021-04-05T07:15:02.000Z | poly_features_class.py | ThomIves/MachineLearningModulePurePy | 25ecc668e0883dc651edbda47618a1fb8c33cc07 | [
"Unlicense"
] | null | null | null | poly_features_class.py | ThomIves/MachineLearningModulePurePy | 25ecc668e0883dc651edbda47618a1fb8c33cc07 | [
"Unlicense"
] | 2 | 2020-08-30T08:07:45.000Z | 2021-04-04T03:00:07.000Z | # PolynomialFeatures(degree=2, interaction_only=False, include_bias=True)
import sys
X = [[1, 2], [3, 4], [5, 6]]
my_poly = PolynomialTools(order=2) #, interactions_only=True, include_bias=False)
my_poly.fit(X)
# print(len(my_poly.__powers_lists))
# print(my_poly.__powers_lists)
print(my_poly.get_features_names(['... | 29.650407 | 82 | 0.552783 | # PolynomialFeatures(degree=2, interaction_only=False, include_bias=True)
import sys
class PolynomialTools:
def __init__(self, order=2, interactions_only=False, include_bias=True):
self.order = order
self.interactions_only = interactions_only
self.include_bias = include_bias
def __red... | 0 | 0 | 0 | 3,044 | 0 | 0 | 0 | 0 | 24 |
fe3ffeaab8a13d5daab2f557f0be077c97ad07c6 | 1,035 | py | Python | xrypto/exchanges/okcoin/HttpMD5Util.py | AlphaPerfect/Xrypto | fcb7b3b79c1f5ec0393d1795bcfa6556fd3e0dd9 | [
"Unlicense"
] | 10 | 2018-03-24T23:14:13.000Z | 2020-04-22T15:56:05.000Z | xrypto/exchanges/okcoin/HttpMD5Util.py | a04512/crypto-raven | e8ebba319f8f04314b4c21d6bc4c8901bf358281 | [
"Unlicense"
] | null | null | null | xrypto/exchanges/okcoin/HttpMD5Util.py | a04512/crypto-raven | e8ebba319f8f04314b4c21d6bc4c8901bf358281 | [
"Unlicense"
] | 10 | 2020-01-29T05:43:33.000Z | 2021-12-13T07:02:39.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#httpMD5
| 24.069767 | 68 | 0.642512 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#用于进行http请求，以及MD5加密，生成签名的工具类
import http.client
import urllib
import json
import hashlib
import time
import requests
from urllib.parse import urljoin
from urllib.parse import urlencode
def buildMySign(params,secretKey):
sign = ''
for key in sorted(params.keys()):
... | 60 | 0 | 0 | 0 | 0 | 736 | 0 | -20 | 246 |
8a89389db25e2d8f144e067b503f136c1328d53e | 7,720 | py | Python | sheepdog/utils/transforms/__init__.py | fantix/sheepdog | dccfffa959591f66398b568b6ecb8bf4bcc0f7a6 | [
"Apache-2.0"
] | null | null | null | sheepdog/utils/transforms/__init__.py | fantix/sheepdog | dccfffa959591f66398b568b6ecb8bf4bcc0f7a6 | [
"Apache-2.0"
] | null | null | null | sheepdog/utils/transforms/__init__.py | fantix/sheepdog | dccfffa959591f66398b568b6ecb8bf4bcc0f7a6 | [
"Apache-2.0"
] | null | null | null | """
TODO
"""
from psqlgraph import Node
def parse_bool_from_string(value):
"""
Return a boolean given a string value *iff* :param:`value` is a valid
string representation of a boolean, otherwise return the original
:param:`value` to be handled by later type checking.
..note:
``bool('maybe... | 28.913858 | 87 | 0.570855 | """
TODO
"""
import csv
import StringIO
from flask import current_app
from psqlgraph import Node
from sheepdog.errors import UserError
from sheepdog.utils.transforms.bcr_xml_to_json import (
BcrXmlToJsonParser,
BcrClinicalXmlToJsonParser,
)
def parse_bool_from_string(value):
"""
Return a boolean gi... | 0 | 1,245 | 0 | 4,492 | 0 | 0 | 0 | 99 | 182 |
7dc67d9c3c4c8b7c96f4ad7c72770854d17424b3 | 4,710 | py | Python | run_main.py | obrua/douyu-qianghongbao | 793cb913537c6136252d92af921395a6b55e79b4 | [
"MIT"
] | 3 | 2019-12-20T15:01:16.000Z | 2021-12-23T06:37:31.000Z | run_main.py | obrua/douyu-qianghongbao | 793cb913537c6136252d92af921395a6b55e79b4 | [
"MIT"
] | null | null | null | run_main.py | obrua/douyu-qianghongbao | 793cb913537c6136252d92af921395a6b55e79b4 | [
"MIT"
] | null | null | null | import os
import signal
import queue
import time
import threading
from gethongbao import verControl, HongBao, QiangHongBao, get_cookie, update_cookie
from basemodule.logger import logger
from douyu_login import utils as login_utils
from basemodule.config import Config, BASE_DIR
bEXIT = False
if __name__ == '__main_... | 33.642857 | 102 | 0.618047 |
import sys
import os
import signal
import requests
import json
import queue
import time
import threading
import ntplib
from threading import Thread
from gethongbao import verControl, HongBao, QiangHongBao, get_cookie, update_cookie
from basemodule.logger import logger
from douyu_login import utils as login_utils
from ... | 583 | 0 | 0 | 0 | 0 | 62 | 0 | -28 | 134 |
edeefc19437c41efb18d22ba83ed2340535c2f55 | 507 | py | Python | controlstructure/multiplelist.py | smanisha92/python101 | 797a80459ce9b2345cd51c614072f0ee633d3159 | [
"MIT"
] | null | null | null | controlstructure/multiplelist.py | smanisha92/python101 | 797a80459ce9b2345cd51c614072f0ee633d3159 | [
"MIT"
] | null | null | null | controlstructure/multiplelist.py | smanisha92/python101 | 797a80459ce9b2345cd51c614072f0ee633d3159 | [
"MIT"
] | null | null | null | """
Iterating multiple lists at the same time
"""
l1 = [1,2,3]
l2 = [6,7,8,10,20,30]
for a,b in zip(l1, l2):
if (a < b):
print(a)
else:
print(b)
print("____ LEARNING RANGE BUILT IN FUNCTION ____")
"""
Built in function
Creates a sequence of numbers but does not save them in memory
very useful f... | 19.5 | 62 | 0.631164 | """
Iterating multiple lists at the same time
"""
l1 = [1,2,3]
l2 = [6,7,8,10,20,30]
for a,b in zip(l1, l2):
if (a < b):
print(a)
else:
print(b)
print("____ LEARNING RANGE BUILT IN FUNCTION ____")
"""
Built in function
Creates a sequence of numbers but does not save them in memory
very useful f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8a27a6a9d67b5aa59fcba0ca4b16eb4caf47bc09 | 8,580 | py | Python | Python/Number Guess Game.py | aastha01chauhan/Hacktoberfest | b58042f9f4d2991b0d151e351c9b2d52e779169c | [
"MIT"
] | 77 | 2020-10-01T01:37:10.000Z | 2021-09-30T08:44:44.000Z | Python/Number Guess Game.py | aastha01chauhan/Hacktoberfest | b58042f9f4d2991b0d151e351c9b2d52e779169c | [
"MIT"
] | 399 | 2020-09-30T18:48:08.000Z | 2021-04-17T00:16:21.000Z | Python/Number Guess Game.py | aastha01chauhan/Hacktoberfest | b58042f9f4d2991b0d151e351c9b2d52e779169c | [
"MIT"
] | 470 | 2020-09-30T18:53:00.000Z | 2021-09-09T10:15:55.000Z | #made by atul narayan. this game is for 4 players.
choice = input('How many players? (1,2 or 3):')
if choice not in range (1,4):
print("enter valid number of players")
if choice in ('1'):
player1 = str(input("Enter Your Name:"))
if choice == '1':
print('welcome', '' ,player1)
... | 31.895911 | 99 | 0.409907 | #made by atul narayan. this game is for 4 players.
choice = input('How many players? (1,2 or 3):')
if choice not in range (1,4):
print("enter valid number of players")
if choice in ('1'):
player1 = str(input("Enter Your Name:"))
if choice == '1':
print('welcome', '' ,player1)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
58c6d46866bfb45986db751778ab80a4c0ddb14b | 350 | py | Python | api/migrations/0009_remove_presentationproposal_proposal_agreed_at.py | pythonkr/pyconkr-api | 077e122a0af37122c5b424870cf91b8fca91a9f5 | [
"Apache-2.0"
] | 25 | 2018-12-09T07:56:16.000Z | 2020-12-24T08:20:41.000Z | api/migrations/0009_remove_presentationproposal_proposal_agreed_at.py | mingrammer/pyconkr-api | 3c9fc70ed26008a50d3b4c296a4da84a8f93babb | [
"Apache-2.0"
] | 100 | 2018-12-13T02:01:42.000Z | 2022-03-11T23:40:25.000Z | api/migrations/0009_remove_presentationproposal_proposal_agreed_at.py | mingrammer/pyconkr-api | 3c9fc70ed26008a50d3b4c296a4da84a8f93babb | [
"Apache-2.0"
] | 8 | 2019-01-05T05:02:27.000Z | 2019-08-09T08:14:49.000Z | # Generated by Django 2.1.5 on 2019-03-16 09:29
| 19.444444 | 47 | 0.617143 | # Generated by Django 2.1.5 on 2019-03-16 09:29
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0008_auto_20190316_1540'),
]
operations = [
migrations.RemoveField(
model_name='presentationproposal',
name='proposal... | 0 | 0 | 0 | 244 | 0 | 0 | 0 | 11 | 46 |
a125f5defbe8dfc407b8f09b4df443c757f6e52d | 13,633 | py | Python | buzsaki_lab_to_nwb/watson/watsonnwbconverter.py | ben-dichter-consulting/buzsaki-lab-to-nwb | 3a3dca679834c78769b2189abf1c063a1eebe0b6 | [
"BSD-3-Clause"
] | null | null | null | buzsaki_lab_to_nwb/watson/watsonnwbconverter.py | ben-dichter-consulting/buzsaki-lab-to-nwb | 3a3dca679834c78769b2189abf1c063a1eebe0b6 | [
"BSD-3-Clause"
] | 1 | 2019-11-04T18:55:13.000Z | 2019-11-04T18:55:13.000Z | buzsaki_lab_to_nwb/watson/watsonnwbconverter.py | ben-dichter-consulting/buzsaki-lab-to-nwb | 3a3dca679834c78769b2189abf1c063a1eebe0b6 | [
"BSD-3-Clause"
] | null | null | null | """Authors: Cody Baker and Ben Dichter."""
| 47.667832 | 118 | 0.557031 | """Authors: Cody Baker and Ben Dichter."""
import spikeextractors as se
from nwb_conversion_tools import NWBConverter, neuroscopedatainterface
from .watsonlfpdatainterface import WatsonLFPInterface
from .watsonbehaviordatainterface import WatsonBehaviorInterface
from .watsonnorecording import WatsonNoRecording
from .wa... | 0 | 0 | 0 | 13,023 | 0 | 0 | 0 | 257 | 309 |
374fc3ded7b192964692000f2826603ab40f6295 | 18,255 | py | Python | classification/abstentionloss.py | eabarnes1010/controlled_abstention_networks | 4519ff710d2562a25045d0a2bdd26b3b6a98fa32 | [
"MIT"
] | 8 | 2021-04-23T03:06:03.000Z | 2022-01-03T08:36:32.000Z | classification/abstentionloss.py | eabarnes1010/controlled_abstention_networks | 4519ff710d2562a25045d0a2bdd26b3b6a98fa32 | [
"MIT"
] | null | null | null | classification/abstentionloss.py | eabarnes1010/controlled_abstention_networks | 4519ff710d2562a25045d0a2bdd26b3b6a98fa32 | [
"MIT"
] | 4 | 2021-06-23T17:48:33.000Z | 2022-01-02T04:10:37.000Z | """Abstention loss function classes and associated alpha updater classes for
classification.
loss function classes
---------------------
* DACLoss(tf.keras.losses.Loss):
Modified k-class cross-entropy per-sample loss with spinup, as defined by
Sunil Thulasidasan.
* NotWrongLoss(tf.keras.losses.Loss):
Abst... | 34.378531 | 115 | 0.579458 | """Abstention loss function classes and associated alpha updater classes for
classification.
loss function classes
---------------------
* DACLoss(tf.keras.losses.Loss):
Modified k-class cross-entropy per-sample loss with spinup, as defined by
Sunil Thulasidasan.
* NotWrongLoss(tf.keras.losses.Loss):
Abst... | 0 | 113 | 0 | 15,262 | 0 | 0 | 0 | 5 | 243 |
3d16d17e54222f006e32cd6b9e6ca323e3738f03 | 465 | py | Python | mmseg/core/evaluation/__init__.py | weiyx16/mmsegmentation | 6d35d76195f173fbc6b119a7d7815e67d78024c6 | [
"Apache-2.0"
] | 103 | 2022-02-20T17:12:54.000Z | 2022-03-30T07:09:48.000Z | mmseg/core/evaluation/__init__.py | weiyx16/mmsegmentation | 6d35d76195f173fbc6b119a7d7815e67d78024c6 | [
"Apache-2.0"
] | 13 | 2022-02-15T20:05:18.000Z | 2022-02-15T20:05:21.000Z | mmseg/core/evaluation/__init__.py | weiyx16/mmsegmentation | 6d35d76195f173fbc6b119a7d7815e67d78024c6 | [
"Apache-2.0"
] | 17 | 2022-02-22T06:29:50.000Z | 2022-03-30T05:03:06.000Z | # Copyright (c) OpenMMLab. All rights reserved.
from .class_names import get_classes, get_palette
from .eval_hooks import DistEvalHook, EvalHook
from .metrics import (eval_metrics, intersect_and_union, mean_dice, mean_fscore, mean_iou, pre_eval_to_metrics)
__all__ = [
'EvalHook', 'DistEvalHook', 'mean_dice', 'mean... | 38.75 | 72 | 0.733333 | # Copyright (c) OpenMMLab. All rights reserved.
from .class_names import get_classes, get_palette
from .eval_hooks import DistEvalHook, EvalHook
from .metrics import (eval_metrics, intersect_and_union, mean_dice,
mean_fscore, mean_iou, pre_eval_to_metrics)
__all__ = [
'EvalHook', 'DistEvalHoo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 |
a92e8200ad4f10b5dd0a238b4c6d5ad4ac0f56cb | 1,889 | py | Python | barf/arch/x86/translators/__init__.py | Cyb3rDo/barf-project | df7359b7689f3282cdf900358bf2519d7f6c1da4 | [
"BSD-2-Clause"
] | 1 | 2018-12-14T13:41:37.000Z | 2018-12-14T13:41:37.000Z | barf/arch/x86/translators/__init__.py | Cyb3rDo/barf-project | df7359b7689f3282cdf900358bf2519d7f6c1da4 | [
"BSD-2-Clause"
] | null | null | null | barf/arch/x86/translators/__init__.py | Cyb3rDo/barf-project | df7359b7689f3282cdf900358bf2519d7f6c1da4 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2014, Fundacion Dr. Manuel Sadosky
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
# list of condit... | 41.977778 | 80 | 0.800953 | # Copyright (c) 2014, Fundacion Dr. Manuel Sadosky
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
# list of condit... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 199 |
477c33d210ea7fe5e3a15e8e3164b3c0794bfc70 | 10,643 | py | Python | infoset/utils/configuration.py | clayton-colovore/infoset-ng | b0404fdda9e805effc16cebc9caef5f86b6bfe33 | [
"Apache-2.0"
] | null | null | null | infoset/utils/configuration.py | clayton-colovore/infoset-ng | b0404fdda9e805effc16cebc9caef5f86b6bfe33 | [
"Apache-2.0"
] | null | null | null | infoset/utils/configuration.py | clayton-colovore/infoset-ng | b0404fdda9e805effc16cebc9caef5f86b6bfe33 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""infoset classes that manage various configurations."""
import os.path
# Import project libraries
from infoset.utils import log
def _key_sub_key(key, sub_key, config_dict, die=True):
"""Get config parameter from YAML.
Args:
key: Primary key
sub_key: Secondary key
... | 21.286 | 97 | 0.532181 | #!/usr/bin/env python3
"""infoset classes that manage various configurations."""
import os.path
import os
# Import project libraries
from infoset.utils import general
from infoset.utils import log
class Config(object):
"""Class gathers all configuration information."""
def __init__(self):
"""Functi... | 0 | 0 | 0 | 9,177 | 0 | 0 | 0 | 0 | 67 |
0fbe13f1ba652baf17db53a896344842a42cac9a | 1,526 | py | Python | zscOutlinerColorMarker/__init__.py | ZishChen-rig/zscOutlinerColorMarker | 21eb3075eab7f7860c82b1eb3f2aa7825fff6d45 | [
"MIT"
] | null | null | null | zscOutlinerColorMarker/__init__.py | ZishChen-rig/zscOutlinerColorMarker | 21eb3075eab7f7860c82b1eb3f2aa7825fff6d45 | [
"MIT"
] | null | null | null | zscOutlinerColorMarker/__init__.py | ZishChen-rig/zscOutlinerColorMarker | 21eb3075eab7f7860c82b1eb3f2aa7825fff6d45 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import maya.cmds as cmds
| 28.259259 | 96 | 0.529489 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import maya.cmds as cmds
def info():
ret = cmds.confirmDialog(
t='Tool Information',
icn='information',
m='''
<br>
<table border=".1" width="500">
<tr>
<td><p align="right"><font size=\'5\' color=\'#0B1013\'>tool_name : </font></p></td>
... | 0 | 0 | 0 | 0 | 0 | 1,419 | 0 | 0 | 25 |
9d98fd62f98891fea3227b9c5a0c7ae97e1287fa | 158,901 | py | Python | all/emojitations/data/sw.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 6 | 2016-08-31T14:42:36.000Z | 2021-09-05T23:55:47.000Z | all/emojitations/data/sw.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 1 | 2016-10-20T10:52:06.000Z | 2016-10-20T18:47:19.000Z | all/emojitations/data/sw.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 5 | 2016-08-31T14:48:11.000Z | 2021-09-05T23:55:33.000Z | from emojitations.emojitypes import EmojiAnnotations
emoji = [
EmojiAnnotations(emoji='', codepoints=(128512,), name='sura inayokenua', slug='sura_inayokenua', annotations=frozenset({'kenua', 'uso'})),
EmojiAnnotations(emoji='', codepoints=(128513,), name='uso uliokenua na macho yanayotabasamu', slug='uso_uliokenua... | 164.323681 | 300 | 0.723274 | from emojitations.emojitypes import EmojiAnnotations
emoji = [
EmojiAnnotations(emoji='😀', codepoints=(128512,), name='sura inayokenua', slug='sura_inayokenua', annotations=frozenset({'kenua', 'uso'})),
EmojiAnnotations(emoji='😁', codepoints=(128513,), name='uso uliokenua na macho yanayotabasamu', slug='uso_uliok... | 3,161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2d2f9acf7120fb3634a638c8876a4b89c953a077 | 1,151 | py | Python | dev/Gems/CloudGemMetric/v1/AWS/common-code/MetricUtils/sensitivity.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 8 | 2019-10-07T16:33:47.000Z | 2020-12-07T03:59:58.000Z | dev/Gems/CloudGemMetric/v1/AWS/common-code/MetricUtils/sensitivity.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | null | null | null | dev/Gems/CloudGemMetric/v1/AWS/common-code/MetricUtils/sensitivity.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 5 | 2020-08-27T20:44:18.000Z | 2021-08-21T22:54:11.000Z | import enum_type
SENSITIVITY_TYPE = enum_type.create(NONE="Insensitive", ENCRYPT="Sensitive")
"""
Encrypt S3 files (0) or leave unencrypted (1)
""" | 22.134615 | 76 | 0.690704 | from io import BytesIO
from abc import ABCMeta, abstractmethod
import metric_constant as c
import os
import gzip
import zlib
import base64
import sqs
import enum_type
def checksum(data):
return zlib.crc32(data)
def b64encode(data):
return base64.b64encode(data)
def b64decode(data):
return base64.b64decod... | 0 | 343 | 0 | 222 | 0 | 92 | 0 | -26 | 362 |
f2618e3174076b533e87baf41a733a81cbaa0778 | 756 | py | Python | 01_Language/05_Python/tests/db/test_mysql.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 3 | 2020-06-28T07:42:51.000Z | 2021-01-15T10:32:11.000Z | 01_Language/05_Python/tests/db/test_mysql.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 9 | 2021-03-10T22:45:40.000Z | 2022-02-27T06:53:20.000Z | 01_Language/05_Python/tests/db/test_mysql.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 1 | 2021-01-15T10:51:24.000Z | 2021-01-15T10:51:24.000Z | # coding: utf-8
# Mysql
# pip install mysql-connector-python --allow-external mysql-connector-python
# pip install mysql-connector
# Mysql
import mysql.connector
#
conn = mysql.connector.connect(host='192.168.1.64', user='root', password='root', database='test')
#
cursor = conn.cursor()
# user
cursor.execute('crea... | 22.235294 | 98 | 0.715608 | # coding: utf-8
# 安装Mysql驱动
# pip install mysql-connector-python --allow-external mysql-connector-python
# pip install mysql-connector
# 导入Mysql驱动
import mysql.connector
# 创建数据库连接
conn = mysql.connector.connect(host='192.168.1.64', user='root', password='root', database='test')
# 创建游标
cursor = conn.cursor()
# 创建user... | 195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c41242cabbc1d9f4ebb1f328be8bec281136d4b8 | 2,244 | py | Python | src/client_connection.py | philipholler/RocoCup_Soccer_P6 | 7b9addf665cb5b3a8d501b1ff9c064d501cf5aba | [
"Unlicense"
] | 5 | 2020-09-09T08:37:30.000Z | 2021-02-04T14:00:50.000Z | src/client_connection.py | philipholler/RocoCup_Soccer_P6 | 7b9addf665cb5b3a8d501b1ff9c064d501cf5aba | [
"Unlicense"
] | null | null | null | src/client_connection.py | philipholler/RocoCup_Soccer_P6 | 7b9addf665cb5b3a8d501b1ff9c064d501cf5aba | [
"Unlicense"
] | 1 | 2021-02-04T14:34:07.000Z | 2021-02-04T14:34:07.000Z |
"""
This class is used by both player, trainer, coach and fake monitor for connecting to the server.
""" | 30.739726 | 96 | 0.562834 | import select
import socket
import threading
import queue
import time
"""
This class is used by both player, trainer, coach and fake monitor for connecting to the server.
"""
class Connection(threading.Thread):
def __init__(self, UDP_IP, UDP_PORT, think, should_print=False):
super().__init__()
se... | 0 | 0 | 0 | 2,046 | 0 | 0 | 0 | -40 | 133 |
7cf7ca5d1c4f08ec23d732b19690a970aab5acf3 | 1,514 | py | Python | app/cnnLstm/testBug.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/cnnLstm/testBug.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/cnnLstm/testBug.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | 2 | 2021-04-04T02:45:59.000Z | 2022-03-19T09:41:39.000Z | import hydroDL
import os
from hydroDL.data import dbCsv
from hydroDL.model import rnn, crit, train
from hydroDL import post
from hydroDL import utils
import numpy as np
rootDB = hydroDL.pathSMAP['DB_L3_NA']
nEpoch = 100
outFolder = os.path.join(hydroDL.pathSMAP['outTest'], 'cnnCond')
ty1 = [20150402, 20160401]
ty2 = [... | 32.913043 | 79 | 0.7107 | import hydroDL
import os
from hydroDL.data import dbCsv
from hydroDL.model import rnn, crit, train
from hydroDL import post
from hydroDL import utils
import numpy as np
rootDB = hydroDL.pathSMAP['DB_L3_NA']
nEpoch = 100
outFolder = os.path.join(hydroDL.pathSMAP['outTest'], 'cnnCond')
ty1 = [20150402, 20160401]
ty2 = [... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5a0ef45a7fe3715ecfa7bc5baff0d7c8355b52ae | 1,179 | py | Python | app/blog/admin.py | elevoro/pyweb1 | 35ba9fba2f28edd32b418ca29668cbf69872e97b | [
"Apache-2.0"
] | null | null | null | app/blog/admin.py | elevoro/pyweb1 | 35ba9fba2f28edd32b418ca29668cbf69872e97b | [
"Apache-2.0"
] | null | null | null | app/blog/admin.py | elevoro/pyweb1 | 35ba9fba2f28edd32b418ca29668cbf69872e97b | [
"Apache-2.0"
] | null | null | null |
#
# `settings.py`
from django.conf.locale.ru import formats as ru_formats
ru_formats.DATETIME_FORMAT = "d.m.Y H:i:s"
| 36.84375 | 115 | 0.691264 | from django.contrib import admin
from .models import Note
# Меняем формат вывода даты и времени только для РУССКОЙ локализации
# Для всего сайта надо поместить этот код в `settings.py`
from django.conf.locale.ru import formats as ru_formats
ru_formats.DATETIME_FORMAT = "d.m.Y H:i:s"
@admin.register(Note)
class Note... | 544 | 689 | 0 | 0 | 0 | 0 | 0 | 14 | 68 |
c736e148c03c91a537b9ec7316e96d6a76ff42e0 | 2,535 | py | Python | custom_model_runner/datarobot_drum/resource/components/Python/python_fit/python_fit.py | Embodimentgeniuslm3/datarobot-user-models | 9453482896c6cc27468d829ad037a6f164d3c5a3 | [
"Apache-2.0"
] | null | null | null | custom_model_runner/datarobot_drum/resource/components/Python/python_fit/python_fit.py | Embodimentgeniuslm3/datarobot-user-models | 9453482896c6cc27468d829ad037a6f164d3c5a3 | [
"Apache-2.0"
] | 9 | 2021-11-10T20:16:41.000Z | 2022-03-12T00:59:05.000Z | custom_model_runner/datarobot_drum/resource/components/Python/python_fit/python_fit.py | Embodimentgeniuslm3/datarobot-user-models | 9453482896c6cc27468d829ad037a6f164d3c5a3 | [
"Apache-2.0"
] | 1 | 2021-06-17T22:05:33.000Z | 2021-06-17T22:05:33.000Z | import logging
from datarobot_drum.drum.common import LOGGER_NAME_PREFIX
logger = logging.getLogger(LOGGER_NAME_PREFIX + "." + __name__)
| 37.279412 | 91 | 0.69783 | import logging
import sys
import os
from mlpiper.components.connectable_component import ConnectableComponent
from datarobot_drum.drum.common import LOGGER_NAME_PREFIX
from datarobot_drum.drum.model_adapter import PythonModelAdapter
from datarobot_drum.drum.utils import shared_fit_preprocessing, make_sure_artifact_is... | 0 | 0 | 0 | 2,119 | 0 | 0 | 0 | 142 | 134 |
c998f8f32240614a2c3222fbad5a62541cfa2e76 | 1,952 | py | Python | unn/models/networks/fp16_helper.py | zongdaoming/TinyTransformer | 8e64f8816117048c388b4b20e3a56760ce149fe3 | [
"Apache-2.0"
] | 2 | 2021-08-08T11:23:14.000Z | 2021-09-16T04:05:23.000Z | unn/models/networks/fp16_helper.py | zongdaoming/TinyTransformer | 8e64f8816117048c388b4b20e3a56760ce149fe3 | [
"Apache-2.0"
] | 1 | 2021-08-08T11:25:47.000Z | 2021-08-08T11:26:15.000Z | unn/models/networks/fp16_helper.py | zongdaoming/TinyTransformer | 8e64f8816117048c388b4b20e3a56760ce149fe3 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn
from unn.utils.bn_helper import GroupSyncBatchNorm, FrozenBatchNorm2d
def op32_wrapper(func):
"""Wrapper forward whose input are all tensors and can only handle float"""
return forward
def setup_fp16():
"""Use fp32 for BatchNormal"""
torch.nn.BatchNorm2d.forward = op32_wr... | 35.490909 | 81 | 0.67418 | import torch
import torch.nn
import linklink as link
from unn.utils.bn_helper import GroupSyncBatchNorm, FrozenBatchNorm2d
from unn.utils.dist_helper import get_world_size
def op32_wrapper(func):
"""Wrapper forward whose input are all tensors and can only handle float"""
def forward(self, *args, **kwargs):
... | 0 | 0 | 0 | 0 | 0 | 1,279 | 0 | 29 | 140 |
8987825f748c9dd8a438ddeb4923d4e8cff294e9 | 1,906 | py | Python | observations/r/gaba.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 199 | 2017-07-24T01:34:27.000Z | 2022-01-29T00:50:55.000Z | observations/r/gaba.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 46 | 2017-09-05T19:27:20.000Z | 2019-01-07T09:47:26.000Z | observations/r/gaba.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 45 | 2017-07-26T00:10:44.000Z | 2022-03-16T20:44:59.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from observations.util import maybe_download_and_extract
def gaba(path):
"""Effect of pentazocine on post-operative pain (average VAS scores)
The table shows, separately... | 25.413333 | 73 | 0.681007 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def gaba(path):
"""Effect of pentazocine on post-operative pain (average ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -25 | 67 |
8287189c30775c4d9b66e3f0985dad3603167dd7 | 2,462 | py | Python | mars/tensor/special/tests/test_special_execute.py | sighingnow/mars | c7897fbd144d230fff5edabc1494fb3ff44aa0d2 | [
"Apache-2.0"
] | null | null | null | mars/tensor/special/tests/test_special_execute.py | sighingnow/mars | c7897fbd144d230fff5edabc1494fb3ff44aa0d2 | [
"Apache-2.0"
] | null | null | null | mars/tensor/special/tests/test_special_execute.py | sighingnow/mars | c7897fbd144d230fff5edabc1494fb3ff44aa0d2 | [
"Apache-2.0"
] | null | null | null | # Copyright 1999-2018 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 28.964706 | 77 | 0.669781 | # Copyright 1999-2018 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 0 | 1,523 | 0 | 0 | 0 | 0 | 0 | 88 | 193 |
2cd5958ed1f77aa7768edd9a4bd6bd70956aeb7e | 528 | py | Python | Python/divide-array-in-sets-of-k-consecutive-numbers.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/divide-array-in-sets-of-k-consecutive-numbers.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/divide-array-in-sets-of-k-consecutive-numbers.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | # Time: O(nlogn)
# Space: O(n)
| 22 | 41 | 0.456439 | # Time: O(nlogn)
# Space: O(n)
import collections
class Solution(object):
def isPossibleDivide(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: bool
"""
count = collections.Counter(nums)
for num in sorted(count.keys()):
c = count[... | 0 | 0 | 0 | 452 | 0 | 0 | 0 | -3 | 46 |
9d916852ce53c80e378a61f478e6308f882067c2 | 516 | py | Python | offthedialbot/__init__.py | yamiacat/rw-offthedialbot | 0bdba20ea438dffca85683a45c24c1305b72268c | [
"MIT"
] | null | null | null | offthedialbot/__init__.py | yamiacat/rw-offthedialbot | 0bdba20ea438dffca85683a45c24c1305b72268c | [
"MIT"
] | null | null | null | offthedialbot/__init__.py | yamiacat/rw-offthedialbot | 0bdba20ea438dffca85683a45c24c1305b72268c | [
"MIT"
] | null | null | null | """Holds client subclass of discord.ext.Bot, and registeres commands."""
from offthedialbot.commands import register_commands
client = Client(command_prefix='$')
register_commands(client)
| 23.454545 | 73 | 0.680233 | """Holds client subclass of discord.ext.Bot, and registeres commands."""
from discord.ext import commands as ext
from offthedialbot.commands import register_commands
class Client(ext.Bot):
def __init__(self, **kwargs):
super().__init__(**kwargs)
async def on_ready(self):
print... | 0 | 0 | 116 | 133 | 0 | 0 | 0 | 18 | 49 |
5559d3f86ff66192128d84f8cd4cee7f32026421 | 27,256 | py | Python | src/baseline.py | matejklemen/slovene-coreference-resolution | 3dc19c03dcef244c4cc4f6e0415915455014964d | [
"MIT"
] | 2 | 2020-05-15T07:21:59.000Z | 2020-05-25T14:36:21.000Z | src/baseline.py | matejklemen/slovene-coreference-resolution | 3dc19c03dcef244c4cc4f6e0415915455014964d | [
"MIT"
] | 1 | 2021-12-12T21:27:24.000Z | 2021-12-12T21:27:24.000Z | src/baseline.py | matejklemen/slovene-coreference-resolution | 3dc19c03dcef244c4cc4f6e0415915455014964d | [
"MIT"
] | 1 | 2021-07-09T09:33:39.000Z | 2021-07-09T09:33:39.000Z | import argparse
import logging
from copy import deepcopy
from sklearn.model_selection import KFold
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from utils import split_into_sets, fixed_split
from data import read_corpus
parser = argparse.ArgumentParser()
parser.add_argument("--mo... | 43.890499 | 136 | 0.624119 | import argparse
import json
import logging
import os
import time
from collections import Counter
from copy import deepcopy
from sklearn.model_selection import KFold
import metrics
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from pyjarowinkler import distance as jwdistance
from ut... | 18 | 8,976 | 0 | 10,860 | 0 | 362 | 0 | 24 | 621 |
f473a73d978683dc8eedbf299e1169c3f6ddf7bd | 9,945 | py | Python | pysrc/chipmodel.py | yulyugin/xed | 428d882e14f4ed3039f8a496ce15727b22d36bc4 | [
"Apache-2.0"
] | 4 | 2021-01-10T22:25:31.000Z | 2022-01-11T16:55:25.000Z | pysrc/chipmodel.py | yulyugin/xed | 428d882e14f4ed3039f8a496ce15727b22d36bc4 | [
"Apache-2.0"
] | 2 | 2021-01-11T11:23:47.000Z | 2021-05-12T05:26:30.000Z | pysrc/chipmodel.py | yulyugin/xed | 428d882e14f4ed3039f8a496ce15727b22d36bc4 | [
"Apache-2.0"
] | 2 | 2020-10-02T03:07:50.000Z | 2021-12-29T14:42:25.000Z | #!/usr/bin/env python
# -*- python -*-
#BEGIN_LEGAL
#
#Copyright (c) 2019 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE... | 32.606557 | 108 | 0.550025 | #!/usr/bin/env python
# -*- python -*-
#BEGIN_LEGAL
#
#Copyright (c) 2019 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE... | 0 | 0 | 0 | 114 | 0 | 6,859 | 0 | -25 | 357 |
9aad83d1690d096a194457d33ff8763d7215e54c | 5,582 | py | Python | dataset_generation/complete_dataset.py | inzva/fake-academic-paper-generation | 294fb4f218ea1d04c705f0649fa715f09122bf8a | [
"MIT"
] | 48 | 2019-03-27T09:36:38.000Z | 2022-03-12T17:26:15.000Z | dataset_generation/complete_dataset.py | inzva/fake-academic-paper-generation | 294fb4f218ea1d04c705f0649fa715f09122bf8a | [
"MIT"
] | 3 | 2019-05-29T14:41:54.000Z | 2022-01-31T08:13:11.000Z | dataset_generation/complete_dataset.py | inzva/fake-academic-paper-generation | 294fb4f218ea1d04c705f0649fa715f09122bf8a | [
"MIT"
] | 11 | 2019-03-27T23:01:04.000Z | 2021-12-22T02:49:53.000Z |
import urllib.request
import shutil
import os
import tarfile
import random
import glob
from TexSoup import TexSoup
def import_resolve(tex, path):
"""Resolve all imports and update the parse tree.
Reads from a tex file and once finished, writes to a tex file.
"""
soup = TexSoup(tex)
dir_path = os.... | 34.45679 | 114 | 0.636869 |
import urllib.request
import shutil
import os
import tarfile
import random
import glob
from TexSoup import TexSoup
def import_resolve(tex, path):
"""Resolve all imports and update the parse tree.
Reads from a tex file and once finished, writes to a tex file.
"""
soup = TexSoup(tex)
dir_path = os.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
83a84cea668e3969d4b8309e6347b88e0dabf9bf | 1,123 | py | Python | setup.py | plechoss/mobilipy | 3bf54fe11defe186228af99d01de82bf11f0b590 | [
"MIT"
] | null | null | null | setup.py | plechoss/mobilipy | 3bf54fe11defe186228af99d01de82bf11f0b590 | [
"MIT"
] | null | null | null | setup.py | plechoss/mobilipy | 3bf54fe11defe186228af99d01de82bf11f0b590 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
VERSION = '0.1.11'
DESCRIPTION = 'A mobility analysis package developed at the Swiss Data Science Center'
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
# Setting up
setup(
# the name must match the folder name 'sdscmob'
... | 36.225806 | 86 | 0.620659 | from setuptools import setup, find_packages
VERSION = '0.1.11'
DESCRIPTION = 'A mobility analysis package developed at the Swiss Data Science Center'
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
# Setting up
setup(
# the name must match the folder name 'sdscmob'
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d2a8ff32e8b426f13ca531209da3986ea8f7272 | 7,995 | py | Python | conary/conaryclient/newtrove.py | sassoftware/conary | d418968acd5e11ee17ed6d91ca395ea10a040222 | [
"Apache-2.0"
] | 43 | 2015-03-31T01:37:10.000Z | 2021-11-14T16:26:48.000Z | conary/conaryclient/newtrove.py | sassoftware/conary | d418968acd5e11ee17ed6d91ca395ea10a040222 | [
"Apache-2.0"
] | 9 | 2015-06-10T16:39:41.000Z | 2020-01-27T16:35:01.000Z | conary/conaryclient/newtrove.py | sassoftware/conary | d418968acd5e11ee17ed6d91ca395ea10a040222 | [
"Apache-2.0"
] | 9 | 2015-04-07T08:12:37.000Z | 2020-01-26T09:54:18.000Z | #
# Copyright (c) SAS Institute Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 43.216216 | 111 | 0.606754 | #
# Copyright (c) SAS Institute Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 0 | 0 | 0 | 7,073 | 0 | 0 | 0 | 69 | 156 |
160d40bb2e34088d43b3735484560278b33c2aae | 472 | py | Python | Circumference.py | WOLF2503/Python-Program | 12d74b7e1df3a8fe34aabc6c757c71da40e1b309 | [
"CC0-1.0"
] | null | null | null | Circumference.py | WOLF2503/Python-Program | 12d74b7e1df3a8fe34aabc6c757c71da40e1b309 | [
"CC0-1.0"
] | null | null | null | Circumference.py | WOLF2503/Python-Program | 12d74b7e1df3a8fe34aabc6c757c71da40e1b309 | [
"CC0-1.0"
] | null | null | null | radius = int(input("Please Enter Radius of the Circle: "))
Rate = int(input("Please Enter Rate of Fencing: "))
#now calculating the area of circle
area = 3.146 * 3.146 * radius
print("The Area of the Circle is ", area)
#now calculating the circumference
circumference = 3.146 * 2 * radius
print("The Circumference... | 39.333333 | 60 | 0.720339 | radius = int(input("Please Enter Radius of the Circle: "))
Rate = int(input("Please Enter Rate of Fencing: "))
#now calculating the area of circle
area = 3.146 * 3.146 * radius
print("The Area of the Circle is ", area)
#now calculating the circumference
circumference = 3.146 * 2 * radius
print("The Circumference... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fdc74bce46c7eaadd41b6418caf80613b864ad4d | 3,820 | py | Python | tools/main_variableslist_example.py | alpavlenko/EvoGuess | 19bc54e75cd959e445becda16fa6f488f0fb2367 | [
"MIT"
] | null | null | null | tools/main_variableslist_example.py | alpavlenko/EvoGuess | 19bc54e75cd959e445becda16fa6f488f0fb2367 | [
"MIT"
] | null | null | null | tools/main_variableslist_example.py | alpavlenko/EvoGuess | 19bc54e75cd959e445becda16fa6f488f0fb2367 | [
"MIT"
] | null | null | null | import json
from util import build
from output import Output
from method import Method
from executor import Executor
from function import Function
from instance import Instance
from algorithm import Algorithm
if __name__ == '__main__':
args = json.dumps({
'algorithm': {
'mu': 1, 'lmbda': 1,
... | 34.414414 | 120 | 0.421728 | import json
from util import build
from output import Output
from method import Method
from executor import Executor
from function import Function
from instance import Instance
from algorithm import Algorithm
if __name__ == '__main__':
args = json.dumps({
'algorithm': {
'mu': 1, 'lmbda': 1,
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
55c59da0ac219a0cb5c2d7658dacfc7ae2cac9dd | 2,269 | py | Python | onlinecourse/admin.py | pedruntu/IBM_PROJ_01 | e5148c4547c4ef8c1a924e4e323f0a83a472a053 | [
"Apache-2.0"
] | null | null | null | onlinecourse/admin.py | pedruntu/IBM_PROJ_01 | e5148c4547c4ef8c1a924e4e323f0a83a472a053 | [
"Apache-2.0"
] | null | null | null | onlinecourse/admin.py | pedruntu/IBM_PROJ_01 | e5148c4547c4ef8c1a924e4e323f0a83a472a053 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
# <HINT> Import any new Models here
from .models import Course, Enrollment, Lesson, Instructor, Learner
from .models import Question, Choice, Submission
# <HINT> Register QuestionInline and ChoiceInline classes here
# Register your models here.
# <HINT> Register Question and C... | 25.784091 | 67 | 0.72543 | from django.contrib import admin
# <HINT> Import any new Models here
from .models import Course, Enrollment, Lesson, Instructor, Learner
from .models import Question, Choice,Submission, Answer
# <HINT> Register QuestionInline and ChoiceInline classes here
class QuestionInline(admin.StackedInline):
model = Question... | 0 | 0 | 0 | 1,145 | 0 | 0 | 0 | 7 | 273 |
2b7318bcc2e9795bc5458f0adc423fa43b6155e5 | 1,505 | py | Python | bookmark_merger.py | nmogadas/bookmark-merger | 50b6b82f550dfb4c357764e94b5182f03cd0ba92 | [
"MIT"
] | 7 | 2016-10-29T02:17:15.000Z | 2018-09-12T06:07:28.000Z | bookmark_merger.py | nmogadas/bookmark-merger | 50b6b82f550dfb4c357764e94b5182f03cd0ba92 | [
"MIT"
] | 1 | 2016-08-30T20:35:07.000Z | 2017-03-07T21:57:28.000Z | bookmark_merger.py | nmogadas/bookmark-merger | 50b6b82f550dfb4c357764e94b5182f03cd0ba92 | [
"MIT"
] | null | null | null |
first_file_name = input('Enter first file name, including extension: ')
second_file_name = input('Enter second file name, including extension: ')
first_file = open(first_file_name, 'r')
second_file = open(second_file_name, 'r')
first_file_header = first_file.readline()
second_file_header = second_file.readline()
... | 27.363636 | 85 | 0.769435 |
import io
from bookmark_helper import *
first_file_name = input('Enter first file name, including extension: ')
second_file_name = input('Enter second file name, including extension: ')
first_file = open(first_file_name, 'r')
second_file = open(second_file_name, 'r')
first_file_header = first_file.readline()
sec... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 45 |
a80a06f8f88de3f79fabf5f0d416292682580724 | 1,831 | py | Python | scripts/feature_def_gen/get_clinical_schema.py | isb-cgc/ISB-CGC-Webapp | 52ed5366ee295e938108a4687bad551a8dee6b34 | [
"Apache-2.0"
] | 13 | 2016-01-14T02:43:10.000Z | 2020-11-25T20:43:05.000Z | scripts/feature_def_gen/get_clinical_schema.py | isb-cgc/ISB-CGC-Webapp | 52ed5366ee295e938108a4687bad551a8dee6b34 | [
"Apache-2.0"
] | 84 | 2015-11-20T02:03:33.000Z | 2021-10-14T19:24:24.000Z | scripts/feature_def_gen/get_clinical_schema.py | isb-cgc/ISB-CGC-Webapp | 52ed5366ee295e938108a4687bad551a8dee6b34 | [
"Apache-2.0"
] | 5 | 2015-11-25T19:29:53.000Z | 2019-09-04T17:37:52.000Z | #
# Copyright 2015-2019, Institute for Systems Biology
#
# 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 ... | 31.033898 | 96 | 0.719825 | #
# Copyright 2015-2019, Institute for Systems Biology
#
# 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 ... | 0 | 0 | 0 | 0 | 0 | 888 | 0 | 99 | 203 |
8eac257f2a4c0ac94b08f5a35eeb0d35a25a384c | 7,033 | py | Python | aioredis_wrapper/lock.py | waves-trading/aioredis_wrapper | fb466103b23b684f3ef8c42e2e02d06088f94ea0 | [
"MIT"
] | null | null | null | aioredis_wrapper/lock.py | waves-trading/aioredis_wrapper | fb466103b23b684f3ef8c42e2e02d06088f94ea0 | [
"MIT"
] | null | null | null | aioredis_wrapper/lock.py | waves-trading/aioredis_wrapper | fb466103b23b684f3ef8c42e2e02d06088f94ea0 | [
"MIT"
] | null | null | null | """"""
| 32.864486 | 131 | 0.55069 | """"""
import asyncio
import hashlib
from typing import Optional
from uuid import uuid4
from .redis import RedisConnection
class BaseLockException(Exception):
pass
class LockException(BaseLockException):
""""""
pass
class ReleaseLockException(BaseLockException):
""""""
pass
class Lock(objec... | 0 | 827 | 4,738 | 1,224 | 0 | 0 | 0 | 6 | 226 |
f0f906b997ae0ec79516c62debe0e83199d4753b | 5,507 | py | Python | pythia/tasks/captioning/youcookII/get_pythia_caption_and_vsepp_score.py | ascott02/pythia | bcccd4868d6c4a4a8d32ac92a674689551df7267 | [
"BSD-3-Clause"
] | null | null | null | pythia/tasks/captioning/youcookII/get_pythia_caption_and_vsepp_score.py | ascott02/pythia | bcccd4868d6c4a4a8d32ac92a674689551df7267 | [
"BSD-3-Clause"
] | null | null | null | pythia/tasks/captioning/youcookII/get_pythia_caption_and_vsepp_score.py | ascott02/pythia | bcccd4868d6c4a4a8d32ac92a674689551df7267 | [
"BSD-3-Clause"
] | null | null | null |
# python get_pythia_caption_and_vsepp_score.py -o youcookII_pythia_json_files -i youcookII_json_files
# annotations_file = "/home/ascott/data/youcookII/YouCookII/annotations/youcookii_annotations_trainval.json"
# fcnn_features_dir = "/home/ascott/data/pythia/youcookII_features/training_features_vmb"
# resnet_features... | 32.017442 | 117 | 0.563102 | import argparse
import glob
import json
import os
import numpy as np
import requests
import sys
# python get_pythia_caption_and_vsepp_score.py -o youcookII_pythia_json_files -i youcookII_json_files
from pythia.utils.text_utils import tokenize
# annotations_file = "/home/ascott/data/youcookII/YouCookII/annotations/yo... | 0 | 0 | 0 | 4,684 | 0 | 0 | 0 | -35 | 200 |
c517b206c63f705d8c7effc9daae26aad8115d7e | 2,273 | py | Python | recover_corrupt.py | martengooz/github-scraper | c6a04df030d7a0657fa71e30bc6f32f3f076ff84 | [
"MIT"
] | 1 | 2019-04-22T18:12:58.000Z | 2019-04-22T18:12:58.000Z | recover_corrupt.py | martengooz/github-scraper | c6a04df030d7a0657fa71e30bc6f32f3f076ff84 | [
"MIT"
] | null | null | null | recover_corrupt.py | martengooz/github-scraper | c6a04df030d7a0657fa71e30bc6f32f3f076ff84 | [
"MIT"
] | null | null | null | import requests
import pause
import json
import time
import datetime
import re
import grequests
import sys
import os
page = "hej"
baseurl = "https://api.github.com/"
# Get token
f = open("token","r")
username = f.readline()
token = f.readline().rstrip('\n')
f.close()
#read data
with open('reposfinal') as data_file:... | 21.855769 | 99 | 0.638803 | import requests
import pause
import json
import time
import datetime
import re
import grequests
import sys
import os
page = "hej"
baseurl = "https://api.github.com/"
# Get token
f = open("token","r")
username = f.readline()
token = f.readline().rstrip('\n')
f.close()
#read data
with open('reposfinal') as data_file:... | 0 | 0 | 0 | 0 | 0 | 724 | 0 | 0 | 92 |
b29e59dcf341465d7df28b746e29d072ce597d51 | 4,871 | py | Python | lib/methods/git.py | factorial-io/fabalicious | 56672b0007dd00aa80c2cc2d1f5138211bcd4c22 | [
"MIT"
] | 13 | 2015-06-25T16:49:55.000Z | 2019-06-02T08:06:43.000Z | lib/methods/git.py | factorial-io/fabalicious | 56672b0007dd00aa80c2cc2d1f5138211bcd4c22 | [
"MIT"
] | 50 | 2015-03-04T22:09:48.000Z | 2019-03-02T15:55:53.000Z | lib/methods/git.py | factorial-io/fabalicious | 56672b0007dd00aa80c2cc2d1f5138211bcd4c22 | [
"MIT"
] | 4 | 2015-03-02T15:51:10.000Z | 2017-10-23T10:06:47.000Z | import logging
log = logging.getLogger('fabric.fabalicious.git')
| 30.829114 | 88 | 0.628413 | import logging
log = logging.getLogger('fabric.fabalicious.git')
from base import BaseMethod
from fabric.api import *
from lib.utils import validate_dict
from lib.configuration import data_merge
from lib import configuration
class GitMethod(BaseMethod):
@staticmethod
def supports(methodName):
return methodNam... | 0 | 588 | 0 | 4,034 | 0 | 0 | 0 | 50 | 134 |
258a0b8db6764285a0c6f49457db77dc3abbe76d | 25,801 | py | Python | src/python_pachyderm/proto/transaction/transaction_pb2.py | barretthinson/python-pachyderm | 82cea22d1105d70833a5522ccac750ca521694ff | [
"Apache-2.0"
] | null | null | null | src/python_pachyderm/proto/transaction/transaction_pb2.py | barretthinson/python-pachyderm | 82cea22d1105d70833a5522ccac750ca521694ff | [
"Apache-2.0"
] | null | null | null | src/python_pachyderm/proto/transaction/transaction_pb2.py | barretthinson/python-pachyderm | 82cea22d1105d70833a5522ccac750ca521694ff | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: client/transaction/transaction.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbo... | 39.270928 | 2,898 | 0.78028 | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: client/transaction/transaction.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1a57298f8d0d839864edae5c723d90da3ba076d9 | 1,246 | py | Python | util/CountMarks.py | ransalmo/data-augmentation-scripts | d4f298c31b60cbc65ca2bee0f352497cd4cb0091 | [
"MIT"
] | null | null | null | util/CountMarks.py | ransalmo/data-augmentation-scripts | d4f298c31b60cbc65ca2bee0f352497cd4cb0091 | [
"MIT"
] | null | null | null | util/CountMarks.py | ransalmo/data-augmentation-scripts | d4f298c31b60cbc65ca2bee0f352497cd4cb0091 | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import xml.etree.ElementTree as ET
import matplotlib.pyplot as plt
path = os.path.join(os.getcwd(), 'images', 'annotations')
if not os.path.exists(path):
raise ValueError('The images\\annotations firectory does not exist')
else:
files = os.listdir(path)
results = {}
files =... | 31.948718 | 86 | 0.629213 | # coding=utf-8
import os
import xml.etree.ElementTree as ET
import matplotlib.pyplot as plt
path = os.path.join(os.getcwd(), 'images', 'annotations')
if not os.path.exists(path):
raise ValueError('The images\\annotations firectory does not exist')
else:
files = os.listdir(path)
results = {}
files =... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |