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b1f5cfe45f3f1d6614357303fdc3f3cece991c2e | 4,023 | py | Python | alipay/aop/api/domain/AlipayUserUnicomOrderInfoSyncModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayUserUnicomOrderInfoSyncModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayUserUnicomOrderInfoSyncModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.constant.ParamConstants import *
class AlipayUserUnicomOrderInfoSyncModel(object):
def __init__(self):
self._gmt_order_change = None
self._order_no = None
self._order_operate_type = None
s... | 30.709924 | 87 | 0.599304 |
e688d8843d900ffb0571e918f15f41bb704b1ab2 | 1,040 | py | Python | cexapi/test.py | codarrenvelvindron/cex.io-api-python | 5e54ca7d4d98e509e18d1ecda311da544649ea60 | [
"MIT"
] | 1 | 2021-11-09T18:47:44.000Z | 2021-11-09T18:47:44.000Z | cexapi/test.py | codarrenvelvindron/cex.io-api-python | 5e54ca7d4d98e509e18d1ecda311da544649ea60 | [
"MIT"
] | null | null | null | cexapi/test.py | codarrenvelvindron/cex.io-api-python | 5e54ca7d4d98e509e18d1ecda311da544649ea60 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import cexapi
username = ''
api_key = ''
api_secret = ''
demo = cexapi.API(username, api_key, api_secret)
print("Ticker (GHS/BTC)")
print(demo.ticker()) ## or demo.ticker('GHS/BTC')
print("Ticker (BF1/BTC)")
print(demo.ticker('BF1/BTC'))
print("Order book (GHS/BTC)")
print(demo.order_book()) #... | 31.515152 | 66 | 0.689423 |
d9b2373a798bf91b400c1761071f8164e1c97506 | 2,381 | py | Python | single_linked_list.py | fairoz-ahmed/Python_Practice | e498f81fca02f0773f1c6e9f93e5f1cf1f94eb89 | [
"MIT"
] | null | null | null | single_linked_list.py | fairoz-ahmed/Python_Practice | e498f81fca02f0773f1c6e9f93e5f1cf1f94eb89 | [
"MIT"
] | null | null | null | single_linked_list.py | fairoz-ahmed/Python_Practice | e498f81fca02f0773f1c6e9f93e5f1cf1f94eb89 | [
"MIT"
] | null | null | null | class Node:
def __init__(self,value):
self.info=value
self.link=None
class SingleLinkedList:
def __init__(self):
self.start = None
def create_list(self):
n = int(input("ENter the number of nodes : "))
if n==0:
return
for i in range(n):
data = int(input("Enter the elements : "))
self.insert_end... | 18.037879 | 49 | 0.637127 |
12bb7eb5fdcd5b4cc0977118367b7c422e10b73e | 2,066 | py | Python | cyrax/conf.py | piranha/cyrax | fd1c0473f0c69631339b2a5476933b00f604c643 | [
"0BSD"
] | 10 | 2015-12-18T22:39:02.000Z | 2021-03-03T15:11:05.000Z | cyrax/conf.py | piranha/cyrax | fd1c0473f0c69631339b2a5476933b00f604c643 | [
"0BSD"
] | 9 | 2016-01-01T09:28:13.000Z | 2019-12-17T09:39:15.000Z | cyrax/conf.py | piranha/cyrax | fd1c0473f0c69631339b2a5476933b00f604c643 | [
"0BSD"
] | 9 | 2015-12-31T23:18:07.000Z | 2020-08-10T10:56:46.000Z | '''Parser of naive data format
Copyright 2009 Alexander Solovyov, under terms of Poetic License
Format:
key: value
key: [list, of, values]
key: {key: value, key: value}
key: date: yyyy-mm-dd HH:MM:SS
key: True # boolean value
key: False # boolean value
Any line without a ":" is simply skipped. Field wit... | 24.891566 | 74 | 0.577928 |
fda5f277728663d63bf565b640729515b4fa070e | 711 | py | Python | CryptoData.py | tysyak/CrypText | e958eb1be97850d7b6f7a168956222a97177aff3 | [
"MIT"
] | null | null | null | CryptoData.py | tysyak/CrypText | e958eb1be97850d7b6f7a168956222a97177aff3 | [
"MIT"
] | null | null | null | CryptoData.py | tysyak/CrypText | e958eb1be97850d7b6f7a168956222a97177aff3 | [
"MIT"
] | 1 | 2021-08-13T02:34:08.000Z | 2021-08-13T02:34:08.000Z | #!/usr/bin/env python3
import time
import pandas as pd
class CryptoData:
def __init__(self) -> None:
self.csv_list = list()
def csv_to_list(self, csv_path='tmp/bat-mxn-max.csv') -> list:
df = pd.read_csv(csv_path, delimiter=',')
self.csv_list = [list(row) for row in df.values]
... | 26.333333 | 66 | 0.613221 |
5ea232087d6584bc40ad6667274d0a703049d44d | 2,158 | py | Python | temboardagent/validators.py | pgiraud/temboard-agent | 6c087f41f06e1f2992057592f78e11c0c7649e4d | [
"PostgreSQL"
] | null | null | null | temboardagent/validators.py | pgiraud/temboard-agent | 6c087f41f06e1f2992057592f78e11c0c7649e4d | [
"PostgreSQL"
] | null | null | null | temboardagent/validators.py | pgiraud/temboard-agent | 6c087f41f06e1f2992057592f78e11c0c7649e4d | [
"PostgreSQL"
] | null | null | null | # User Input Validator
#
# These functions provide stateless validation of user input, mainly CLI
# arguments and environment variables.
#
# On invalid input, a ValueError is raised. Other exceptions are considered a
# bug.
#
# A validator is idempotent. It must accepts what it returns.
import json
import logging
impo... | 20.358491 | 77 | 0.639481 |
a8a3e297d61040ec2bcd7962243fa745d1c05e9d | 2,348 | py | Python | setup.py | VerdantFox/TowerDefense | 1463fcd5067a565d049303ba04564e44051dc7ae | [
"CC-BY-4.0"
] | 6 | 2019-01-30T00:06:43.000Z | 2021-11-29T13:15:42.000Z | setup.py | VerdantFox/TowerDefense | 1463fcd5067a565d049303ba04564e44051dc7ae | [
"CC-BY-4.0"
] | null | null | null | setup.py | VerdantFox/TowerDefense | 1463fcd5067a565d049303ba04564e44051dc7ae | [
"CC-BY-4.0"
] | 2 | 2020-12-15T07:55:34.000Z | 2021-07-28T12:09:16.000Z | import cx_Freeze
import os
os.environ['TCL_LIBRARY'] = "C:\\Users\\Teddy\AppData\\Local\\Programs\\Python\\Python36-32\\tcl\\tcl8.6"
os.environ['TK_LIBRARY'] = "C:\\Users\\Teddy\AppData\\Local\\Programs\\Python\\Python36-32\\tcl\\tk8.6"
executables = [cx_Freeze.Executable("main.py", base="Win32GUI")]
# to run, go to... | 33.542857 | 105 | 0.362436 |
9bfbf8b4f4e16754f14ef51dc02bd3709471302c | 1,011 | py | Python | d9/part1.py | Jamie-Chang/advent2021 | c3fda9098283b06265b03070085aeb0c6e27d408 | [
"Apache-2.0"
] | null | null | null | d9/part1.py | Jamie-Chang/advent2021 | c3fda9098283b06265b03070085aeb0c6e27d408 | [
"Apache-2.0"
] | null | null | null | d9/part1.py | Jamie-Chang/advent2021 | c3fda9098283b06265b03070085aeb0c6e27d408 | [
"Apache-2.0"
] | null | null | null | from typing import Iterator
def read() -> list[list[int]]:
with open("d9/input.txt") as f:
return [[int(c) for c in l.strip()] for l in f]
def _adjacent_coord(row: int, col: int) -> Iterator[tuple[int, int]]:
yield row - 1, col
yield row + 1, col
yield row, col - 1
yield row, col + 1
d... | 26.605263 | 73 | 0.592483 |
ff1f3a20713ebba5a48fcbdad5e0c747183f9d3f | 3,782 | py | Python | unittests/test_cli.py | alextsaihi/rnaget-compliance-suite | a3accae431b9e4f7791dfa5ae867e70da2dd6278 | [
"Apache-2.0"
] | 1 | 2019-09-18T14:38:55.000Z | 2019-09-18T14:38:55.000Z | unittests/test_cli.py | alextsaihi/rnaget-compliance-suite | a3accae431b9e4f7791dfa5ae867e70da2dd6278 | [
"Apache-2.0"
] | 14 | 2019-05-24T18:55:23.000Z | 2022-02-25T16:56:28.000Z | unittests/test_cli.py | alextsaihi/rnaget-compliance-suite | a3accae431b9e4f7791dfa5ae867e70da2dd6278 | [
"Apache-2.0"
] | 8 | 2019-04-08T14:48:35.000Z | 2022-02-04T16:59:59.000Z | # -*- coding: utf-8 -*-
"""Module unittests.test_cli.py
This module contains methods to test the cli module via pytest.
Attributes:
user_config_dir (str): path to directory containing sample user configs
user_config_success (str): file containing correct user config
user_config_failure (str): file contain... | 34.381818 | 79 | 0.653622 |
3916977184e09a533d8a4ade94b8f4d0f44528ae | 749 | py | Python | cohesity_management_sdk/models/type_hive_table_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 18 | 2019-09-24T17:35:53.000Z | 2022-03-25T08:08:47.000Z | cohesity_management_sdk/models/type_hive_table_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 18 | 2019-03-29T19:32:29.000Z | 2022-01-03T23:16:45.000Z | cohesity_management_sdk/models/type_hive_table_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 16 | 2019-02-27T06:54:12.000Z | 2021-11-16T18:10:24.000Z | # -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
class TypeHiveTableEnum(object):
"""Implementation of the 'Type_HiveTable' enum.
Specifies the type of table ex. MANAGED,VIRTUAL etc.
Specifies the type of an Hive table.
'kManaged' indicates a MANAGED Hive table.
'kExternal' indicates a EXTE... | 23.40625 | 56 | 0.667557 |
ef1a4586d477feef2b330af563460f4c4d036e98 | 18,698 | py | Python | qa/rpc-tests/wallet.py | bitcoinvenezuela/bven | a2fd442fc14dbd5a1a704dff83ee373b70dbe348 | [
"MIT"
] | 1 | 2019-04-19T02:09:07.000Z | 2019-04-19T02:09:07.000Z | qa/rpc-tests/wallet.py | MelonousHeadous/BVEN | 2fc8214d147bcd5cf5a2c7fe23d3efb75d07ff12 | [
"MIT"
] | null | null | null | qa/rpc-tests/wallet.py | MelonousHeadous/BVEN | 2fc8214d147bcd5cf5a2c7fe23d3efb75d07ff12 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
class W... | 46.167901 | 181 | 0.641726 |
d253b2bb92708a274812649ac7be8b85a6d477dd | 393 | py | Python | web/rnp_find/asgi.py | mnahinkhan/rnpfind | 5aa956ddd528ab9ebd9588be845f78c449915b78 | [
"MIT"
] | 3 | 2021-06-08T03:55:03.000Z | 2021-06-15T07:33:08.000Z | web/rnp_find/asgi.py | mnahinkhan/RNPFind | 8b561e087f943421c847dcb708ee386ee6439fa5 | [
"MIT"
] | 1 | 2022-02-24T15:34:24.000Z | 2022-03-04T09:59:10.000Z | web/rnp_find/asgi.py | mnahinkhan/RNPFind | 8b561e087f943421c847dcb708ee386ee6439fa5 | [
"MIT"
] | 1 | 2021-07-22T04:13:34.000Z | 2021-07-22T04:13:34.000Z | """
ASGI config for rnp_find project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault("DJANGO_SETT... | 23.117647 | 78 | 0.78626 |
bbdfefcde414e9eff78832c3aab5860074278b7f | 207 | py | Python | jessiql/integration/graphql/schema.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | jessiql/integration/graphql/schema.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | jessiql/integration/graphql/schema.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | import os.path
# Load GraphQL definitions from the file
pwd = os.path.dirname(__file__)
# Get this schema
with open(os.path.join(pwd, './schema.graphql'), 'rt') as f:
graphql_jessiql_schema = f.read()
| 23 | 60 | 0.714976 |
4eb8634b81af8399d5bb85d0709d2f34743546b9 | 792 | py | Python | cbab/settings/test.py | acdh-oeaw/cbab | 7cd25f057913dccf85f851e448b1dbc2c5f8d624 | [
"MIT"
] | 1 | 2021-09-20T12:51:47.000Z | 2021-09-20T12:51:47.000Z | cbab/settings/test.py | acdh-oeaw/cbab | 7cd25f057913dccf85f851e448b1dbc2c5f8d624 | [
"MIT"
] | null | null | null | cbab/settings/test.py | acdh-oeaw/cbab | 7cd25f057913dccf85f851e448b1dbc2c5f8d624 | [
"MIT"
] | null | null | null | from .base import *
SECRET_KEY = 'whatever'
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = ['*']
INSTALLED_APPS + [
'django_nose',
]
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
TEST_RUNNER = 'django_nose.NoseTe... | 26.4 | 90 | 0.627525 |
81d562e83185193112101ce27bb4ea96d6ab484d | 34,130 | py | Python | keras/layers/rnn/bidirectional_test.py | code-review-doctor/keras | 96130040540e1405ffe746ddf2b2cceb9b8b8f65 | [
"Apache-2.0"
] | null | null | null | keras/layers/rnn/bidirectional_test.py | code-review-doctor/keras | 96130040540e1405ffe746ddf2b2cceb9b8b8f65 | [
"Apache-2.0"
] | null | null | null | keras/layers/rnn/bidirectional_test.py | code-review-doctor/keras | 96130040540e1405ffe746ddf2b2cceb9b8b8f65 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.347178 | 80 | 0.658717 |
727cacece07409e921b91b5d89597157fea60c3c | 6,592 | py | Python | pysnmp-with-texts/CTRON-ETWMIM-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/CTRON-ETWMIM-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/CTRON-ETWMIM-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CTRON-ETWMIM-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CTRON-ETWMIM-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:30:01 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar ... | 149.818182 | 585 | 0.774272 |
11262d022fdfb857ea0f852b2a97a2eed8725368 | 971 | py | Python | BeyondNet.JsPlatform/js/algorithms/famous-algorithms/bellman-ford-algorithm/python/BellmanFord.py | beyondnetPeru/BeyondNet.Sample.Js | 41126537519bf423063633a204e03aa71ae89d4b | [
"Apache-2.0"
] | null | null | null | BeyondNet.JsPlatform/js/algorithms/famous-algorithms/bellman-ford-algorithm/python/BellmanFord.py | beyondnetPeru/BeyondNet.Sample.Js | 41126537519bf423063633a204e03aa71ae89d4b | [
"Apache-2.0"
] | null | null | null | BeyondNet.JsPlatform/js/algorithms/famous-algorithms/bellman-ford-algorithm/python/BellmanFord.py | beyondnetPeru/BeyondNet.Sample.Js | 41126537519bf423063633a204e03aa71ae89d4b | [
"Apache-2.0"
] | null | null | null | class Graph:
def __init__(self, v):
self.v = v
self.graph = []
def add_edge(self, s, d, w):
self.graph.append([s,d,w])
def bellman_ford(self, src):
dist = [float('inf')]* self.v
dist[src] = 0
# Relax v-1
for i in range(self.v - 1):
fo... | 21.577778 | 69 | 0.486097 |
8be6a789311723596a303b493edb1344cc977ebb | 5,281 | py | Python | config.py | shoheietzel/proj10-meetme | 38efe0ba015678b87070b1ec5b742b49662d5304 | [
"Artistic-2.0"
] | null | null | null | config.py | shoheietzel/proj10-meetme | 38efe0ba015678b87070b1ec5b742b49662d5304 | [
"Artistic-2.0"
] | null | null | null | config.py | shoheietzel/proj10-meetme | 38efe0ba015678b87070b1ec5b742b49662d5304 | [
"Artistic-2.0"
] | null | null | null | """
Configure from
app.ini (if provided)
credentials.ini
command line (unless invoked with proxied=True)
in that order (i.e., in opposite order of precedence).
A configuration namespace module returned by this module is
suitable for configuring a Flask applicaton object.
configparser makes all configuration... | 36.673611 | 79 | 0.664647 |
bc82cda115eee8fee56f6228226ff7f50645cc91 | 48,928 | py | Python | updateHostsFile.py | colinmkeith/hosts | d5d8733d7d2638770c25db7cc88daf1985568af6 | [
"MIT"
] | null | null | null | updateHostsFile.py | colinmkeith/hosts | d5d8733d7d2638770c25db7cc88daf1985568af6 | [
"MIT"
] | null | null | null | updateHostsFile.py | colinmkeith/hosts | d5d8733d7d2638770c25db7cc88daf1985568af6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Script by Ben Limmer
# https://github.com/l1m5
#
# This Python script will combine all the host files you provide
# as sources into one, unique host file to keep you internet browsing happy.
import argparse
import fnmatch
import json
import locale
import os
import platform
import re
import sh... | 32.06291 | 110 | 0.612083 |
1620de2fd3e4bc1e9c0c3fe69d74ea7857e0b9b5 | 1,757 | py | Python | scripts/column_comparison.py | alniniclas/junit-to-jmh-experiment | 7351ce7aa172da6d1bb047b46667b027044593a4 | [
"Apache-2.0"
] | null | null | null | scripts/column_comparison.py | alniniclas/junit-to-jmh-experiment | 7351ce7aa172da6d1bb047b46667b027044593a4 | [
"Apache-2.0"
] | null | null | null | scripts/column_comparison.py | alniniclas/junit-to-jmh-experiment | 7351ce7aa172da6d1bb047b46667b027044593a4 | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import csv
def read_input(input_file):
with open(input_file, 'r') as f:
reader = csv.DictReader(f, dialect=csv.unix_dialect)
return [row for row in reader]
def get_output_key(row):
test_class = row['class']
test_name = row['test']
if 'repetition' not in row:
return test... | 28.803279 | 102 | 0.684121 |
099f9bbd1e33685aefa815286c0d121d7448f4f4 | 3,527 | py | Python | bindings/python/ensmallen/datasets/string/xanthomonadalesbacterium6970.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen/datasets/string/xanthomonadalesbacterium6970.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/xanthomonadalesbacterium6970.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Xanthomonadales bacterium 69-70.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein... | 33.590476 | 223 | 0.681032 |
9b8d252070f5b50477a052aa0ecd0f2bc056683e | 14,895 | py | Python | Program_Final/venv/Lib/site-packages/Bio/Blast/Record.py | isacasini/SNV_Xia_et_al_2020 | d729b68e37babf9d30941683af6723aad65319f7 | [
"MIT"
] | 2 | 2019-11-21T02:34:52.000Z | 2021-02-14T07:47:43.000Z | Bio/Blast/Record.py | EngineerKhan/biopython | 4e359e2aa9255aa8b420ad512d3c4cbe15c07a35 | [
"BSD-3-Clause"
] | null | null | null | Bio/Blast/Record.py | EngineerKhan/biopython | 4e359e2aa9255aa8b420ad512d3c4cbe15c07a35 | [
"BSD-3-Clause"
] | 1 | 2021-02-14T07:47:46.000Z | 2021-02-14T07:47:46.000Z | # Copyright 1999-2000 by Jeffrey Chang. All rights reserved.
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
"""Record classes to hold BLAST output.
Classes:
Blast Holds all the inform... | 36.329268 | 80 | 0.58476 |
c2bf9c975cdc52a2fbeccc566a8536c67950ed2c | 10,564 | py | Python | proxy.py | hadagalberto/python-proxy | d56a31abeac42884ecae8d59216a5bc27e4697a0 | [
"Apache-2.0"
] | 3 | 2017-11-09T03:53:15.000Z | 2018-09-25T18:36:54.000Z | proxy.py | hadagalberto/python-proxy | d56a31abeac42884ecae8d59216a5bc27e4697a0 | [
"Apache-2.0"
] | null | null | null | proxy.py | hadagalberto/python-proxy | d56a31abeac42884ecae8d59216a5bc27e4697a0 | [
"Apache-2.0"
] | 4 | 2017-11-08T21:56:55.000Z | 2021-05-21T19:44:55.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from pprint import pprint
import sys
import http.client
from socketserver import ThreadingMixIn
from http.server import HTTPServer, BaseHTTPRequestHandler
from threading import Lock, Timer
from io import StringIO
from urllib.parse import urlsplit
import socket
import sel... | 31.254438 | 163 | 0.571469 |
103c33ca7c8ef0935020914b8455b3c5563a2059 | 2,132 | py | Python | preprocessing/audio_extractor.py | ElonGagarin/easy_meeting_hack | 27cbead34d73d410ad478a4f4ce7c27418aed116 | [
"MIT"
] | 1 | 2021-10-12T10:21:06.000Z | 2021-10-12T10:21:06.000Z | preprocessing/audio_extractor.py | Maximgitman/easy_meeting | eb60d740e136ce139fddb447cd4e2aacb636ad98 | [
"MIT"
] | null | null | null | preprocessing/audio_extractor.py | Maximgitman/easy_meeting | eb60d740e136ce139fddb447cd4e2aacb636ad98 | [
"MIT"
] | null | null | null | import os
import moviepy.editor as mp
__version__ = "0.0.5"
class AudioExtractor(object):
def __init__(self, path):
self.path = path
self.dir = os.path.split(path)[0]
filename, file_ext = os.path.splitext(path)
self.filename = filename
self.file_ext = file_ext[1:]
... | 32.8 | 69 | 0.550657 |
1f23e75a8d624bb5ed90f1e5680715d560422409 | 3,467 | py | Python | Stanford CS20 2018/examples/03_logreg_placeholder.py | neilliang90/DeepLearning-Tensorflow | 213be49273a43ee2636789235b33331cce49736e | [
"MIT"
] | null | null | null | Stanford CS20 2018/examples/03_logreg_placeholder.py | neilliang90/DeepLearning-Tensorflow | 213be49273a43ee2636789235b33331cce49736e | [
"MIT"
] | null | null | null | Stanford CS20 2018/examples/03_logreg_placeholder.py | neilliang90/DeepLearning-Tensorflow | 213be49273a43ee2636789235b33331cce49736e | [
"MIT"
] | null | null | null | """ Solution for simple logistic regression model for MNIST
with placeholder
MNIST dataset: yann.lecun.com/exdb/mnist/
Created by Chip Huyen (huyenn@cs.stanford.edu)
CS20: "TensorFlow for Deep Learning Research"
cs20.stanford.edu
Lecture 03
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import numpy as np
import... | 36.114583 | 97 | 0.752235 |
bbef6c1dc4b12aa77aacc1d360f25f9416fe2828 | 929 | py | Python | applications/views.py | djangulo/ta_platform | 0aa9659180a4133dc460799308b57ecdf8fa96d4 | [
"MIT"
] | null | null | null | applications/views.py | djangulo/ta_platform | 0aa9659180a4133dc460799308b57ecdf8fa96d4 | [
"MIT"
] | null | null | null | applications/views.py | djangulo/ta_platform | 0aa9659180a4133dc460799308b57ecdf8fa96d4 | [
"MIT"
] | 2 | 2019-11-30T07:05:46.000Z | 2020-10-13T11:59:01.000Z | from django.conf import settings
from django.views.generic import FormView
from django.shortcuts import render, get_object_or_404, redirect
from applications.forms import ApplicationForm
def create_application(request):
if request.method == 'POST':
form = ApplicationForm(request.POST)
if form.is_... | 32.034483 | 80 | 0.688913 |
e6d8ca093ecb5d54bb7143209223467e14e9c539 | 28 | py | Python | 2020-04-16 - Python Medellin - Creating a chat service with WebSockets/Examples/Chat/app/models/__init__.py | williamegomezo/Talks | 0b123c6c8dec9c1a2357c142b617109068caf060 | [
"MIT"
] | 2 | 2020-04-24T23:03:41.000Z | 2020-11-10T15:08:38.000Z | 2020-04-16 - Python Medellin - Creating a chat service with WebSockets/Examples/Chat/app/models/__init__.py | williamegomezo/Talks | 0b123c6c8dec9c1a2357c142b617109068caf060 | [
"MIT"
] | 5 | 2021-03-10T11:42:15.000Z | 2022-02-10T21:38:54.000Z | 2020-04-16 - Python Medellin - Creating a chat service with WebSockets/Examples/Chat/app/models/__init__.py | williamegomezo/Talks | 0b123c6c8dec9c1a2357c142b617109068caf060 | [
"MIT"
] | 4 | 2020-10-01T04:32:27.000Z | 2022-02-14T15:08:16.000Z | from .user import Base, User | 28 | 28 | 0.785714 |
6022b6ac47f82fd0b0b1c0849dc21065b0908e2c | 5,155 | py | Python | ansible/modules/network/junos/junos_banner.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 1 | 2022-01-25T22:52:58.000Z | 2022-01-25T22:52:58.000Z | ansible/modules/network/junos/junos_banner.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | ansible/modules/network/junos/junos_banner.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2017, Ansible by Red Hat, inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 28.324176 | 115 | 0.671387 |
7a915085b0bb91f6566e3946f34ea5fb1f788d65 | 3,074 | py | Python | arkanoid/PPO/test.py | econnolly27/ReinforcementLearningNES | 45464fbf193b5c7249013f7ece06afec27a60d5a | [
"MIT",
"BSD-3-Clause"
] | 2 | 2022-01-29T10:38:05.000Z | 2022-01-29T10:38:12.000Z | arkanoid/PPO/test.py | econnolly27/ReinforcementLearningNES | 45464fbf193b5c7249013f7ece06afec27a60d5a | [
"MIT",
"BSD-3-Clause"
] | null | null | null | arkanoid/PPO/test.py | econnolly27/ReinforcementLearningNES | 45464fbf193b5c7249013f7ece06afec27a60d5a | [
"MIT",
"BSD-3-Clause"
] | null | null | null | """
@author: Viet Nguyen <nhviet1009@gmail.com>
From: https://github.com/uvipen/Super-mario-bros-PPO-pytorch
Modified for Benchmarking Reinforcement Learning Algorithms in NES Games by Erin-Louise Connolly
"""
import os
import argparse
import torch
from src.env import create_train_env
from src.model import PPO
from sr... | 33.053763 | 117 | 0.649967 |
a374f50369bfe478c208f576a5f50b40f87f8b52 | 5,157 | py | Python | dbaas/maintenance/admin/database_create.py | didindinn/database-as-a-service | 747de31ff8546f7874ddd654af860e130afd17a0 | [
"BSD-3-Clause"
] | null | null | null | dbaas/maintenance/admin/database_create.py | didindinn/database-as-a-service | 747de31ff8546f7874ddd654af860e130afd17a0 | [
"BSD-3-Clause"
] | null | null | null | dbaas/maintenance/admin/database_create.py | didindinn/database-as-a-service | 747de31ff8546f7874ddd654af860e130afd17a0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.conf.urls import patterns, url
from django.contrib import messages
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404
from django.utils.html ... | 36.574468 | 79 | 0.61528 |
b2a2574a4de39313bbbe18c79b224df96393690c | 934 | py | Python | bridge/py_api/bohrium_api/messaging.py | bh107/bohrium | 5b83e7117285fefc7779ed0e9acb0f8e74c7e068 | [
"Apache-2.0"
] | 236 | 2015-03-31T15:39:30.000Z | 2022-03-24T01:43:14.000Z | bridge/py_api/bohrium_api/messaging.py | bh107/bohrium | 5b83e7117285fefc7779ed0e9acb0f8e74c7e068 | [
"Apache-2.0"
] | 324 | 2015-05-27T10:35:38.000Z | 2021-12-10T07:34:10.000Z | bridge/py_api/bohrium_api/messaging.py | bh107/bohrium | 5b83e7117285fefc7779ed0e9acb0f8e74c7e068 | [
"Apache-2.0"
] | 41 | 2015-05-26T12:38:42.000Z | 2022-01-10T15:16:37.000Z | """
Send and receive pre-defined messages through the Bohrium component stack
=========================================================================
"""
from ._bh_api import message as msg
def statistic_enable_and_reset():
"""Reset and enable the Bohrium statistic"""
return msg("statistic_enable_and_reset... | 25.243243 | 91 | 0.649893 |
1df1f1946a947c980dacf570fd9c9c2aabd90dd5 | 809 | py | Python | gallery/urls.py | Robinkariuki/Gallery | 21a93bed7813490ba03967e3a9c784b923791735 | [
"MIT"
] | null | null | null | gallery/urls.py | Robinkariuki/Gallery | 21a93bed7813490ba03967e3a9c784b923791735 | [
"MIT"
] | 3 | 2020-02-12T03:13:09.000Z | 2021-06-10T22:03:28.000Z | gallery/urls.py | Robinkariuki/Gallery | 21a93bed7813490ba03967e3a9c784b923791735 | [
"MIT"
] | 1 | 2020-11-26T05:40:17.000Z | 2020-11-26T05:40:17.000Z | """gallery URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-ba... | 33.708333 | 79 | 0.699629 |
be0e0f473c0c19038079dd6b3b9c3e63a17529ac | 1,176 | py | Python | setup.py | smilelight/lightSpider | 7430324753501c8f61e7152b6403845a74c12dee | [
"Apache-2.0"
] | 12 | 2020-01-07T01:20:54.000Z | 2021-04-25T06:47:53.000Z | setup.py | smilelight/lightSpider | 7430324753501c8f61e7152b6403845a74c12dee | [
"Apache-2.0"
] | 1 | 2020-01-09T13:54:06.000Z | 2020-01-11T09:36:59.000Z | setup.py | smilelight/lightSpider | 7430324753501c8f61e7152b6403845a74c12dee | [
"Apache-2.0"
] | 6 | 2020-01-07T04:06:55.000Z | 2021-04-21T02:40:02.000Z | from distutils.core import setup
import setuptools
with open('./version.txt', encoding='utf8') as f:
version = f.read()
with open('./README.md', 'r', encoding='utf8') as f:
long_description = f.read()
with open('./requirements.txt', 'r', encoding='utf8') as f:
install_requires = list(map(lambda x: x.stri... | 32.666667 | 68 | 0.659014 |
84a97b19724e5cc2760099535bdc9215b6f6300b | 6,184 | py | Python | [Kaleido-subs]/Completed/Joshiraku [BD]/JoshirakuBD_12.py | LightArrowsEXE/Encoding-Projects | 4ea96a5b25a7710f615ada5ff25949c496492b53 | [
"MIT"
] | 57 | 2019-01-31T17:32:46.000Z | 2022-03-23T05:46:51.000Z | [Kaleido-subs]/Completed/Joshiraku [BD]/JoshirakuBD_12.py | LightArrowsEXE/Encoding-Projects | 4ea96a5b25a7710f615ada5ff25949c496492b53 | [
"MIT"
] | null | null | null | [Kaleido-subs]/Completed/Joshiraku [BD]/JoshirakuBD_12.py | LightArrowsEXE/Encoding-Projects | 4ea96a5b25a7710f615ada5ff25949c496492b53 | [
"MIT"
] | 12 | 2019-04-30T06:16:13.000Z | 2022-03-14T16:15:07.000Z | from typing import Optional, Sequence, Tuple, Union
import vapoursynth as vs
from lvsfunc.misc import source
from vardautomation import (JAPANESE, FileInfo, MplsReader, PresetAAC,
PresetBD, PresetChapXML, VPath)
from project_module import encoder as enc, flt
core = vs.core
core.num_thread... | 41.503356 | 118 | 0.681921 |
7de63304dbfcab2afa62ffdc0e7b383ab0f529aa | 311 | py | Python | spoticly/commands/base.py | onhernandes/spoticly | ed109f4ea118c57557af1e7a10120a120fd29fa4 | [
"MIT"
] | 6 | 2018-12-23T16:16:36.000Z | 2019-01-11T12:10:49.000Z | spoticly/commands/base.py | onhernandes/spoticly | ed109f4ea118c57557af1e7a10120a120fd29fa4 | [
"MIT"
] | null | null | null | spoticly/commands/base.py | onhernandes/spoticly | ed109f4ea118c57557af1e7a10120a120fd29fa4 | [
"MIT"
] | null | null | null | """The base command."""
class Base(object):
"""A base command."""
def __init__(self, options, *args, **kwargs):
self.options = options
self.args = args
self.kwargs = kwargs
def run(self):
raise NotImplementedError("You must implement the run() method yourself!")
| 22.214286 | 82 | 0.607717 |
fbe74492ae45aa540ea7eaa69aa2ee5f2e5f47ca | 4,410 | py | Python | models/models.py | XLEric/ganimation | 024fdc0adbeae582a139635a5141b2737969bc48 | [
"MIT"
] | null | null | null | models/models.py | XLEric/ganimation | 024fdc0adbeae582a139635a5141b2737969bc48 | [
"MIT"
] | null | null | null | models/models.py | XLEric/ganimation | 024fdc0adbeae582a139635a5141b2737969bc48 | [
"MIT"
] | null | null | null | import os
import torch
from torch.optim import lr_scheduler
class ModelsFactory:
def __init__(self):
pass
@staticmethod
def get_by_name(model_name, *args, **kwargs):
model = None
if model_name == 'ganimation':
from .ganimation import GANimation
model = GANi... | 33.157895 | 117 | 0.650567 |
79ea97dec7e116370e4585a8ee5f40b4bfb9c62c | 4,486 | py | Python | sktime/experiments/losses.py | fkiraly/sktime | 3cd0064f7750844178b60d67422b083b5004131a | [
"BSD-3-Clause"
] | 2 | 2021-01-19T05:10:50.000Z | 2021-01-22T18:39:56.000Z | sktime/experiments/losses.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | 1 | 2019-11-05T16:48:00.000Z | 2019-11-05T16:48:00.000Z | sktime/experiments/losses.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | 1 | 2019-11-05T16:34:32.000Z | 2019-11-05T16:34:32.000Z | import collections
import pandas as pd
class Losses(object):
"""
Calculates prediction losses on test datasets achieved by the trained estimators. When the class is instantiated it creates a dictionary that stores the losses.
Parameters
----------
metric: `mlaut.analyze_results.scores` object
... | 44.86 | 582 | 0.671868 |
6d16542907872c5482c73dca780a6ef723e1d78a | 2,107 | py | Python | Filters/Core/Testing/Python/QuadricDecimation.py | forestGzh/VTK | bc98327275bd5cfa95c5825f80a2755a458b6da8 | [
"BSD-3-Clause"
] | 1,755 | 2015-01-03T06:55:00.000Z | 2022-03-29T05:23:26.000Z | Filters/Core/Testing/Python/QuadricDecimation.py | forestGzh/VTK | bc98327275bd5cfa95c5825f80a2755a458b6da8 | [
"BSD-3-Clause"
] | 29 | 2015-04-23T20:58:30.000Z | 2022-03-02T16:16:42.000Z | Filters/Core/Testing/Python/QuadricDecimation.py | forestGzh/VTK | bc98327275bd5cfa95c5825f80a2755a458b6da8 | [
"BSD-3-Clause"
] | 1,044 | 2015-01-05T22:48:27.000Z | 2022-03-31T02:38:26.000Z | #!/usr/bin/env python
import vtk
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# pipeline stuff
#
pl3d = vtk.vtkMultiBlockPLOT3DReader()
pl3d.SetXYZFileName("" + str(VTK_DATA_ROOT) + "/Data/combxyz.bin")
pl3d.SetQFileName("" + str(VTK_DATA_ROOT) + "/Data/combq.bin")
pl3d.SetScalarFunctionNu... | 29.676056 | 66 | 0.792596 |
ccb0074610ea1596f00ac813ab920561a6fb95bc | 528 | py | Python | solutions/python/the-salesman.py | harimm/hackerrank-solutions | 359e37b160d976da7a30dbc9b80da89e3335ddc0 | [
"MIT"
] | null | null | null | solutions/python/the-salesman.py | harimm/hackerrank-solutions | 359e37b160d976da7a30dbc9b80da89e3335ddc0 | [
"MIT"
] | null | null | null | solutions/python/the-salesman.py | harimm/hackerrank-solutions | 359e37b160d976da7a30dbc9b80da89e3335ddc0 | [
"MIT"
] | null | null | null | # Solution for the problem "The Salesman"
# https://www.hackerrank.com/contests/world-codesprint-12/challenges/the-salesman
# Approach we are taking is to find the maximum and minimum numbers and then find their difference
# Number of test cases
t = int(input())
for i in range(t):
# No. of houses. We are not goi... | 29.333333 | 98 | 0.683712 |
0c0665d26a47bcde032ffc10b9c40d1c98c4dfdc | 23,425 | py | Python | reviewboard/accounts/forms/pages.py | b1pb1p/reviewboard | b13aca3b88bc16d3c4258adce5df79cd1da577d3 | [
"MIT"
] | 921 | 2015-01-01T15:26:28.000Z | 2022-03-29T11:30:38.000Z | reviewboard/accounts/forms/pages.py | josnin/reviewboard | e1213abd5151e059548d5b75e514e68e76b89b48 | [
"MIT"
] | 5 | 2015-03-17T18:57:47.000Z | 2020-10-02T13:24:31.000Z | reviewboard/accounts/forms/pages.py | josnin/reviewboard | e1213abd5151e059548d5b75e514e68e76b89b48 | [
"MIT"
] | 285 | 2015-01-12T06:24:36.000Z | 2022-03-29T11:03:50.000Z | from __future__ import unicode_literals
import logging
from collections import OrderedDict
from django import forms
from django.contrib import messages
from django.core.urlresolvers import reverse
from django.forms import widgets
from django.http import HttpResponseRedirect
from django.utils.six.moves.urllib.parse im... | 32.762238 | 79 | 0.596841 |
916b1dd78984b393da46ccb78736222bad429085 | 1,541 | py | Python | tests/backends/aiida_django/migrations/test_migrations_0048_computer_name_to_label.py | azadoks/aiida-core | b806b7fef8fc79090deccfe2019b77cb922e0581 | [
"MIT",
"BSD-3-Clause"
] | 180 | 2019-07-12T07:45:26.000Z | 2022-03-22T13:16:57.000Z | tests/backends/aiida_django/migrations/test_migrations_0048_computer_name_to_label.py | azadoks/aiida-core | b806b7fef8fc79090deccfe2019b77cb922e0581 | [
"MIT",
"BSD-3-Clause"
] | 2,325 | 2019-07-04T13:41:44.000Z | 2022-03-31T12:17:10.000Z | tests/backends/aiida_django/migrations/test_migrations_0048_computer_name_to_label.py | azadoks/aiida-core | b806b7fef8fc79090deccfe2019b77cb922e0581 | [
"MIT",
"BSD-3-Clause"
] | 88 | 2019-07-06T01:42:39.000Z | 2022-03-18T14:20:09.000Z | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 45.323529 | 98 | 0.560026 |
553d15771435eba907f3dba5c81ff3991dc865ad | 5,322 | py | Python | scripts/generate_sync_api.py | arjun27/playwright-python | 048cc223899f382aee1806ddefa8932f24c633a9 | [
"Apache-2.0"
] | 1 | 2021-03-16T09:47:01.000Z | 2021-03-16T09:47:01.000Z | scripts/generate_sync_api.py | yetone/playwright-python | d1b6a1bd08609214f421792b4422f1bb722156e7 | [
"Apache-2.0"
] | null | null | null | scripts/generate_sync_api.py | yetone/playwright-python | d1b6a1bd08609214f421792b4422f1bb722156e7 | [
"Apache-2.0"
] | 1 | 2020-12-10T10:53:40.000Z | 2020-12-10T10:53:40.000Z | #!/usr/bin/env python
# Copyright (c) Microsoft Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 36.703448 | 99 | 0.578354 |
bb7bfbfc84b90baad3b059b50732725046f82ca9 | 16,455 | py | Python | libs/cidre/cidre/draw.py | YuzhongHuangCS/journal-citation-cartels | 7b82d9e081555f5b40eb6cc6f44f65ce1c3c1a0f | [
"BSD-2-Clause"
] | 2 | 2020-09-22T09:59:56.000Z | 2022-01-31T20:00:49.000Z | libs/cidre/cidre/draw.py | YuzhongHuangCS/journal-citation-cartels | 7b82d9e081555f5b40eb6cc6f44f65ce1c3c1a0f | [
"BSD-2-Clause"
] | 1 | 2021-07-20T20:01:46.000Z | 2021-07-20T21:21:03.000Z | libs/cidre/cidre/draw.py | YuzhongHuangCS/journal-citation-cartels | 7b82d9e081555f5b40eb6cc6f44f65ce1c3c1a0f | [
"BSD-2-Clause"
] | 3 | 2021-03-09T04:38:56.000Z | 2021-07-13T04:49:15.000Z | import pandas as pd
import numpy as np
from scipy import sparse
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib import patches
import matplotlib.colors as colors
import textwrap
import re
class DrawCartel:
def __init__(self):
self.theta_1 = np.pi * 0.7
self.angle_margin = 3 *... | 34.936306 | 98 | 0.489274 |
2f472ab1931d145ebe23127be4e83a0bd901ebbc | 664 | py | Python | fv3gfs/util/_capture_stream.py | ai2cm/fv3gfs-util | 56fd8e93cefe6951396717a49390c4020a0bc20c | [
"BSD-3-Clause"
] | 1 | 2021-01-05T20:55:01.000Z | 2021-01-05T20:55:01.000Z | fv3gfs/util/_capture_stream.py | VulcanClimateModeling/fv3gfs-util | 1d7c302b836befe905d776b0a972f464bfd3a255 | [
"BSD-3-Clause"
] | 34 | 2020-11-10T18:06:18.000Z | 2021-07-20T22:46:31.000Z | fv3gfs/util/_capture_stream.py | ai2cm/fv3gfs-util | 56fd8e93cefe6951396717a49390c4020a0bc20c | [
"BSD-3-Clause"
] | 1 | 2021-08-10T21:36:44.000Z | 2021-08-10T21:36:44.000Z | import contextlib
import tempfile
import os
import io
@contextlib.contextmanager
def capture_stream(stream):
out_stream = io.BytesIO()
# parent process:
# close the reading end, we won't need this
orig_file_handle = os.dup(stream.fileno())
with tempfile.NamedTemporaryFile() as out:
# ov... | 25.538462 | 79 | 0.667169 |
97732b1a1326669a4d6afb0ed54364e582552f33 | 865 | py | Python | src/commands/fire/fire_city_restaurants_download.py | jherrerotardon/spies | ec855b3c1bd207c8ee2beb829e446fa575354c59 | [
"Apache-2.0"
] | null | null | null | src/commands/fire/fire_city_restaurants_download.py | jherrerotardon/spies | ec855b3c1bd207c8ee2beb829e446fa575354c59 | [
"Apache-2.0"
] | null | null | null | src/commands/fire/fire_city_restaurants_download.py | jherrerotardon/spies | ec855b3c1bd207c8ee2beb829e446fa575354c59 | [
"Apache-2.0"
] | null | null | null | from pyframework.exceptions.custom_exceptions import ArgumentException
from .base_fire import BaseFire, Event
from ...models.city import City
class FireCityRestaurantsDownload(BaseFire):
_name = 'fire:cityDownload'
_description = 'Launch an event to download entities info from city.'
_arguments = [
... | 24.714286 | 73 | 0.63237 |
fa64eea4b2b6d34c5a01342722ac30c4f9cd587b | 3,946 | py | Python | drive.py | dhiegomaga/Behavioral-Cloning | d9577beb94a2e5ab683728d2bef3fc94947c7dd0 | [
"MIT"
] | null | null | null | drive.py | dhiegomaga/Behavioral-Cloning | d9577beb94a2e5ab683728d2bef3fc94947c7dd0 | [
"MIT"
] | null | null | null | drive.py | dhiegomaga/Behavioral-Cloning | d9577beb94a2e5ab683728d2bef3fc94947c7dd0 | [
"MIT"
] | null | null | null | import argparse
import base64
from datetime import datetime
import os
import shutil
# Prevent from using GPU
os.environ["CUDA_VISIBLE_DEVICES"]="-1"
import numpy as np
import socketio
import eventlet
import eventlet.wsgi
from PIL import Image
from flask import Flask
from io import BytesIO
from keras.models import l... | 27.594406 | 89 | 0.639128 |
e41ebb8845f0d7ada367a6a8b9f512be2dd89b22 | 31,389 | py | Python | gslib/tests/test_rewrite.py | maxshine/gsutil | c81d67f2286402accfcdf79f0199844949bebefc | [
"Apache-2.0"
] | 1,894 | 2015-04-17T18:29:53.000Z | 2022-03-28T22:41:06.000Z | gslib/tests/test_rewrite.py | maxshine/gsutil | c81d67f2286402accfcdf79f0199844949bebefc | [
"Apache-2.0"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | gslib/tests/test_rewrite.py | maxshine/gsutil | c81d67f2286402accfcdf79f0199844949bebefc | [
"Apache-2.0"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | # -*- coding: utf-8 -*-
# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 47.05997 | 80 | 0.655007 |
76c7f1498069dc61b65eadc995da762a3f6bdbea | 11,446 | py | Python | petabvis/utils.py | PEtab-dev/petab-interactive-viz | c24039e919bf08eb01bb93ae72701c270a99b913 | [
"BSD-3-Clause"
] | 6 | 2021-01-29T14:17:27.000Z | 2021-02-04T18:04:54.000Z | petabvis/utils.py | PEtab-dev/petabvis | c24039e919bf08eb01bb93ae72701c270a99b913 | [
"BSD-3-Clause"
] | 3 | 2021-03-04T09:32:12.000Z | 2021-03-23T16:42:57.000Z | petabvis/utils.py | PEtab-dev/petabvis | c24039e919bf08eb01bb93ae72701c270a99b913 | [
"BSD-3-Clause"
] | null | null | null | import warnings
import numpy as np
import pandas as pd
import petab.C as ptc
import scipy
from PySide6 import QtCore
from PySide6.QtWidgets import QComboBox
import matplotlib.pyplot as plt
import pyqtgraph as pg
def get_legend_name(plot_spec: pd.Series):
"""
Return the plot title of the plot specification
... | 26.43418 | 77 | 0.650446 |
eb4c086ef83f644f754023b484af770e47c89233 | 4,785 | py | Python | server/rest/competitor.py | jjojala/results | bfcf6820ff4b2dd05d8974bc98b0a59bc6c3585f | [
"Apache-2.0"
] | null | null | null | server/rest/competitor.py | jjojala/results | bfcf6820ff4b2dd05d8974bc98b0a59bc6c3585f | [
"Apache-2.0"
] | 7 | 2015-11-25T22:26:25.000Z | 2016-10-18T22:14:35.000Z | server/rest/competitor.py | jjojala/results | bfcf6820ff4b2dd05d8974bc98b0a59bc6c3585f | [
"Apache-2.0"
] | null | null | null | from flask import request
from flask_restful import Resource, reqparse
from .notification import CREATED, UPDATED, PATCHED, REMOVED
import rest.timeservice as timeservice
from util.patch import patch, PatchConflict
competitors = [
]
_NOTIFICATION_ARG = "notifications"
_API_ARG = "api"
_TYPE = "Competitor"
class Comp... | 39.221311 | 90 | 0.443678 |
137f36702455b49c44c351bfa71bcad0b6d1a270 | 994 | py | Python | timeflux_ml/utils/sklearn_helpers.py | sylvchev/timeflux_ml | 31fefc41ff5f62fc770e87c2963e872768301de3 | [
"MIT"
] | 2 | 2019-12-11T10:53:19.000Z | 2020-03-21T17:35:21.000Z | timeflux_ml/utils/sklearn_helpers.py | sylvchev/timeflux_ml | 31fefc41ff5f62fc770e87c2963e872768301de3 | [
"MIT"
] | 1 | 2019-04-03T13:45:26.000Z | 2019-04-03T13:45:26.000Z | timeflux_ml/utils/sklearn_helpers.py | sylvchev/timeflux_ml | 31fefc41ff5f62fc770e87c2963e872768301de3 | [
"MIT"
] | 1 | 2019-04-03T09:17:36.000Z | 2019-04-03T09:17:36.000Z | from sklearn.pipeline import Pipeline
from timeflux_ml.utils.import_helpers import make_object
def make_pipeline(steps, params):
"""
Args:
steps (dict): (name, module_name, method_name) Tuples to specify steps of the pipeline to fit.
params (dict): string -> object. Parameters passed to the... | 36.814815 | 103 | 0.642857 |
2a917af395c9ea6d4560d6b6ec791ea3516362c0 | 2,516 | py | Python | context-n.py | adlez27/context-n | 37660632d8b0ec3837bae779cf1c0fa64248ae13 | [
"MIT"
] | 2 | 2019-08-05T09:32:57.000Z | 2020-07-16T21:58:52.000Z | context-n.py | adlez27/context-n | 37660632d8b0ec3837bae779cf1c0fa64248ae13 | [
"MIT"
] | 2 | 2019-08-25T00:03:04.000Z | 2021-07-06T06:27:30.000Z | context-n.py | adlez27/context-n | 37660632d8b0ec3837bae779cf1c0fa64248ae13 | [
"MIT"
] | null | null | null | import sys
import os.path
import shutil
import configparser
ust = configparser.RawConfigParser(allow_no_value=True)
ust.optionxform = lambda option: option
ust.read(sys.argv[1])
config = configparser.RawConfigParser(allow_no_value=True)
config.optionxform = lambda option: option
if (os.path.exists(ust['#SE... | 38.707692 | 125 | 0.562798 |
793c87b3beb68a8c920d9048fc0f9192a5476779 | 1,273 | py | Python | src/__init__.py | DiSiqueira/DSImgur | 11bb392a0253adf278d3dbfb469c41eec14c5706 | [
"MIT"
] | 119 | 2016-01-28T11:02:58.000Z | 2020-11-30T15:05:09.000Z | src/__init__.py | DiSiqueira/Imgur | 11bb392a0253adf278d3dbfb469c41eec14c5706 | [
"MIT"
] | 3 | 2016-03-20T16:45:13.000Z | 2017-09-29T15:12:07.000Z | src/__init__.py | DiSiqueira/Imgur | 11bb392a0253adf278d3dbfb469c41eec14c5706 | [
"MIT"
] | 6 | 2016-04-03T02:59:26.000Z | 2019-04-17T03:19:09.000Z | #!/usr/bin/env python
"""
Diego Martins de Siqueira
MIT License
DSImgur - Easily download images, Albums, Galleries and entire Profiles from Imgur. The most powerful Imgur Downloader!! You can use as program or as module!
"""
import sys
import argparse
from DSImgur import DSImgur
def main(argv=sys.argv[0]):
parser ... | 28.931818 | 166 | 0.725844 |
261af8a0f5645c441c5fcb6f5cbbd8b76519ebd4 | 1,702 | py | Python | etc/n_CR/opt_2/pp2.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | null | null | null | etc/n_CR/opt_2/pp2.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | null | null | null | etc/n_CR/opt_2/pp2.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | 1 | 2018-10-02T17:51:57.000Z | 2018-10-02T17:51:57.000Z | #!/usr/bin/env ipython
from pylab import *
from load_data import sh, mc, cr
import funcs as ff
#++++++++++++++++++++++++++++++++++++++++++++++++++++
mc.cc = mc.t>0.0
mc.tout = 3.0*mc.t[mc.cc]+1.0
mc.rms = mc.avr[mc.cc]
cr.mc.crs = cr.mc.avr[mc.cc]
sh.cc = sh.t<1.0
sh.tout = sh.t[sh.cc]
sh.rms = sh.avr[sh.cc]
... | 25.787879 | 84 | 0.525264 |
5cb040572bc6f348ca181000ce15b6f18e1d0332 | 1,190 | py | Python | configs/detection/fsce/voc/split2/fsce_r101_fpn_voc-split2_3shot-fine-tuning.py | BIGWangYuDong/mmfewshot | dac097afc92df176bc2de76b7c90968584865197 | [
"Apache-2.0"
] | 376 | 2021-11-23T13:29:57.000Z | 2022-03-30T07:22:14.000Z | configs/detection/fsce/voc/split2/fsce_r101_fpn_voc-split2_3shot-fine-tuning.py | BIGWangYuDong/mmfewshot | dac097afc92df176bc2de76b7c90968584865197 | [
"Apache-2.0"
] | 51 | 2021-11-23T14:45:08.000Z | 2022-03-30T03:37:15.000Z | configs/detection/fsce/voc/split2/fsce_r101_fpn_voc-split2_3shot-fine-tuning.py | BIGWangYuDong/mmfewshot | dac097afc92df176bc2de76b7c90968584865197 | [
"Apache-2.0"
] | 56 | 2021-11-23T14:02:27.000Z | 2022-03-31T09:01:50.000Z | _base_ = [
'../../../_base_/datasets/fine_tune_based/few_shot_voc.py',
'../../../_base_/schedules/schedule.py', '../../fsce_r101_fpn.py',
'../../../_base_/default_runtime.py'
]
# classes splits are predefined in FewShotVOCDataset
# FewShotVOCDefaultDataset predefine ann_cfg for model reproducibility.
data =... | 41.034483 | 71 | 0.720168 |
849f40e3005f3288885373a5d1d68079ab91084f | 40,586 | py | Python | train.py | Robert-JunWang/pytorch-image-models | 7c67d6aca992f039eece0af5f7c29a43d48c00e4 | [
"Apache-2.0"
] | 5 | 2022-03-03T00:42:03.000Z | 2022-03-25T04:29:56.000Z | train.py | Robert-JunWang/pytorch-image-models | 7c67d6aca992f039eece0af5f7c29a43d48c00e4 | [
"Apache-2.0"
] | null | null | null | train.py | Robert-JunWang/pytorch-image-models | 7c67d6aca992f039eece0af5f7c29a43d48c00e4 | [
"Apache-2.0"
] | 1 | 2022-03-22T23:34:00.000Z | 2022-03-22T23:34:00.000Z | #!/usr/bin/env python3
""" ImageNet Training Script
This is intended to be a lean and easily modifiable ImageNet training script that reproduces ImageNet
training results with some of the latest networks and training techniques. It favours canonical PyTorch
and standard Python style over trying to be able to 'do it al... | 48.605988 | 137 | 0.641773 |
ada7b61ec6075b6c5ba84a7c067b5e1c1c1fc0f9 | 1,755 | py | Python | data/dataset.py | Janspiry/distributed-pytorch-template | 8b612c8877d4ec3ffba28fcb3bc1ccfda44b6c10 | [
"MIT"
] | 3 | 2022-01-30T07:10:02.000Z | 2022-02-11T10:16:43.000Z | data/dataset.py | Janspiry/A-Seed-Project-For-Deep-Learning-by-Pytorch | 8b612c8877d4ec3ffba28fcb3bc1ccfda44b6c10 | [
"MIT"
] | null | null | null | data/dataset.py | Janspiry/A-Seed-Project-For-Deep-Learning-by-Pytorch | 8b612c8877d4ec3ffba28fcb3bc1ccfda44b6c10 | [
"MIT"
] | null | null | null | import torch.utils.data as data
from torchvision import transforms
from PIL import Image
import os
import os.path
from .auto_augment import AutoAugment, ImageNetAutoAugment
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
def is_image_file(filename):
... | 28.770492 | 91 | 0.579487 |
224741a87ab106a561bf76f57b580f85d912f2fc | 5,479 | py | Python | ve/unit/test_if_else.py | furiosa-ai/pyvsc | 612de9e6244c685a3df1972e4860abfe35b614e1 | [
"Apache-2.0"
] | 54 | 2020-03-28T17:54:00.000Z | 2022-03-27T08:53:13.000Z | ve/unit/test_if_else.py | furiosa-ai/pyvsc | 612de9e6244c685a3df1972e4860abfe35b614e1 | [
"Apache-2.0"
] | 124 | 2020-04-10T03:06:03.000Z | 2022-03-24T18:35:46.000Z | ve/unit/test_if_else.py | furiosa-ai/pyvsc | 612de9e6244c685a3df1972e4860abfe35b614e1 | [
"Apache-2.0"
] | 17 | 2020-04-09T21:47:58.000Z | 2022-02-23T19:37:37.000Z |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not ... | 29.299465 | 62 | 0.441321 |
13330889323200f12c00344088dd7bba33fbc99e | 6,966 | py | Python | src/flask_track_usage/storage/sql.py | gouthambs/flask-track-usage | 81c3cb3555498e0438c300000f4a5457352dc719 | [
"BSD-3-Clause"
] | null | null | null | src/flask_track_usage/storage/sql.py | gouthambs/flask-track-usage | 81c3cb3555498e0438c300000f4a5457352dc719 | [
"BSD-3-Clause"
] | null | null | null | src/flask_track_usage/storage/sql.py | gouthambs/flask-track-usage | 81c3cb3555498e0438c300000f4a5457352dc719 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2014 Gouthaman Balaraman
# 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 con... | 39.355932 | 78 | 0.562016 |
5a00fb91d00b28593bd9a71fb509a39e0f5753f3 | 2,346 | py | Python | shatter/QM_helper.py | jisazaTappsi/mastermind | bb096119b6e062611dec8e8062feb5f838d5a198 | [
"MIT"
] | 1 | 2016-06-10T05:55:05.000Z | 2016-06-10T05:55:05.000Z | shatter/QM_helper.py | jisazaTappsi/mastermind | bb096119b6e062611dec8e8062feb5f838d5a198 | [
"MIT"
] | 1 | 2016-02-05T06:59:46.000Z | 2016-02-05T06:59:46.000Z | shatter/QM_helper.py | jisazaTappsi/mastermind | bb096119b6e062611dec8e8062feb5f838d5a198 | [
"MIT"
] | 1 | 2019-03-12T07:49:01.000Z | 2019-03-12T07:49:01.000Z | #!/usr/bin/env python
"""Defines Quine McCluskey helper methods"""
from shatter import qm
from shatter.rules import Rules
from shatter.util import helpers as h
from shatter.code_generator import translate_to_python_expression
__author__ = 'juan pablo isaza'
def from_table_to_ones(table):
"""
Gets the ones ... | 34 | 106 | 0.671355 |
7c49058b086073206457d42f3aa42786669003f2 | 2,456 | py | Python | dist_matrix/tests/test_helper.py | sparks-baird/wasserstein-distance | a37b5c2a0f7322cd8edb1432148445cf5de468a2 | [
"MIT"
] | 5 | 2021-12-10T15:48:55.000Z | 2022-03-29T15:28:06.000Z | dist_matrix/tests/test_helper.py | sparks-baird/wasserstein-distance | a37b5c2a0f7322cd8edb1432148445cf5de468a2 | [
"MIT"
] | null | null | null | dist_matrix/tests/test_helper.py | sparks-baird/wasserstein-distance | a37b5c2a0f7322cd8edb1432148445cf5de468a2 | [
"MIT"
] | null | null | null | # """
# Test helper functions for distance matrix calculations.
# """
# import os
# import numpy as np
# from numba.cuda.testing import unittest, CUDATestCase
# # import numba.cuda.kernels.device.helper as hp
# import mat_discover.ElM2D.helper as hp
# from numpy.testing import assert_allclose, assert_equal
# bits = ... | 28.229885 | 62 | 0.561889 |
0f1e9292ac8c3b8226f822a526fbb927c884fc34 | 1,066 | py | Python | N-aryTreePreorderTraversal589.py | Bit64L/LeetCode-Python- | 64847cbb1adcaca4561b949e8acc52e8e031a6cb | [
"MIT"
] | null | null | null | N-aryTreePreorderTraversal589.py | Bit64L/LeetCode-Python- | 64847cbb1adcaca4561b949e8acc52e8e031a6cb | [
"MIT"
] | null | null | null | N-aryTreePreorderTraversal589.py | Bit64L/LeetCode-Python- | 64847cbb1adcaca4561b949e8acc52e8e031a6cb | [
"MIT"
] | null | null | null | """
# Definition for a Node.
"""
class TreeNode(object):
def __init__(self, val, children):
self.val = val
self.children = children
class Solution(object):
def preorder(self, root):
ans = []
if root is None:
return ans
stack = []
stack.append(roo... | 20.5 | 39 | 0.510319 |
f603c6a3ef256e8c039ec7e86699692f76b12df2 | 380 | py | Python | build/lib/YAPI_heureka_code/yapi.py | heureka-code/YAPI-heureka-code | ea6390593d873d3f5c7c906c902ed55cb707bf24 | [
"MIT"
] | null | null | null | build/lib/YAPI_heureka_code/yapi.py | heureka-code/YAPI-heureka-code | ea6390593d873d3f5c7c906c902ed55cb707bf24 | [
"MIT"
] | null | null | null | build/lib/YAPI_heureka_code/yapi.py | heureka-code/YAPI-heureka-code | ea6390593d873d3f5c7c906c902ed55cb707bf24 | [
"MIT"
] | null | null | null | from .Lexer import Lexer
from .token_gruppen import YAPIGroup, TokenGruppen
from .token_data import Token
class YAPI:
def __init__(self, group: YAPIGroup):
self.__group: TokenGruppen = TokenGruppen(group)
pass
def execute(self, statement) -> list[Token]:
lexer = Lexer(self.... | 25.333333 | 57 | 0.668421 |
b7983fe071c361a33cfdb142c714004ecd01ea17 | 5,923 | py | Python | Kerberos/raghuram/tgs.py | mohith7548/Cryptography-LAB | 05757072e38558134f2885d36915bfb0c5a26e9b | [
"MIT"
] | 2 | 2021-02-21T18:04:19.000Z | 2021-02-23T06:48:10.000Z | Kerberos/raghuram/tgs.py | mohith7548/Cryptography-LAB | 05757072e38558134f2885d36915bfb0c5a26e9b | [
"MIT"
] | null | null | null | Kerberos/raghuram/tgs.py | mohith7548/Cryptography-LAB | 05757072e38558134f2885d36915bfb0c5a26e9b | [
"MIT"
] | 2 | 2019-11-29T01:06:03.000Z | 2019-12-07T19:34:45.000Z | import socket
import threading
import time
import pyDes
import string
import random
#####################Already Shared Keys######################################
Key_V="ac3Hn57a" # already shared between application server tgs server
Key_TGS="59ZFTjCt" # already shared with AS and TGS
##################### Session K... | 31.673797 | 119 | 0.54854 |
cde9a962e92ae72a22ff52e1a8cb48a8c59bb5c2 | 2,019 | py | Python | kunquat/tracker/ui/controller/kqtivalidator.py | kagu/kunquat | 83a2e972121e6a114ecc5ef4392b501ce926bb06 | [
"CC0-1.0"
] | 13 | 2016-09-01T21:52:49.000Z | 2022-03-24T06:07:20.000Z | kunquat/tracker/ui/controller/kqtivalidator.py | kagu/kunquat | 83a2e972121e6a114ecc5ef4392b501ce926bb06 | [
"CC0-1.0"
] | 290 | 2015-03-14T10:59:25.000Z | 2022-03-20T08:32:17.000Z | kunquat/tracker/ui/controller/kqtivalidator.py | kagu/kunquat | 83a2e972121e6a114ecc5ef4392b501ce926bb06 | [
"CC0-1.0"
] | 7 | 2015-03-19T13:28:11.000Z | 2019-09-03T16:21:16.000Z | # -*- coding: utf-8 -*-
#
# Author: Tomi Jylhä-Ollila, Finland 2016-2018
#
# This file is part of Kunquat.
#
# CC0 1.0 Universal, http://creativecommons.org/publicdomain/zero/1.0/
#
# To the extent possible under law, Kunquat Affirmers have waived all
# copyright and related or neighboring rights to Kunquat.
#
from k... | 30.134328 | 83 | 0.647845 |
b1e5262264f13e0c492bececfb8b0bd8f9e961c5 | 6,830 | py | Python | sutils/applications/cancel/test_cancel.py | t-mertz/slurm_utils | 6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd | [
"MIT"
] | null | null | null | sutils/applications/cancel/test_cancel.py | t-mertz/slurm_utils | 6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd | [
"MIT"
] | null | null | null | sutils/applications/cancel/test_cancel.py | t-mertz/slurm_utils | 6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd | [
"MIT"
] | null | null | null | import unittest
from unittest.mock import patch, call, Mock
import getpass
import subprocess
from . import cancel
from ...test import test
def fix_mock_popen(func):
def wrapper(self, popen, get_jobs):
process_mock = Mock()
attrs = {'communicate.return_value': (b'', b'')}
process_mock.confi... | 37.734807 | 96 | 0.561933 |
53327b6b7c0bb9c3affd01e877f2cb15f4968c26 | 5,189 | py | Python | nssrc/com/citrix/netscaler/nitro/resource/config/audit/auditnslogpolicy_vpnvserver_binding.py | benfinke/ns_python | d651d7aa01d7dc63c1cd435c7b3314d7f5b26659 | [
"Apache-2.0"
] | 1 | 2015-04-05T21:21:26.000Z | 2015-04-05T21:21:26.000Z | nssrc/com/citrix/netscaler/nitro/resource/config/audit/auditnslogpolicy_vpnvserver_binding.py | benfinke/ns_python | d651d7aa01d7dc63c1cd435c7b3314d7f5b26659 | [
"Apache-2.0"
] | 1 | 2017-01-20T22:56:58.000Z | 2017-01-20T22:56:58.000Z | nssrc/com/citrix/netscaler/nitro/resource/config/audit/auditnslogpolicy_vpnvserver_binding.py | benfinke/ns_python | d651d7aa01d7dc63c1cd435c7b3314d7f5b26659 | [
"Apache-2.0"
] | 6 | 2015-04-21T13:14:08.000Z | 2020-12-03T07:27:52.000Z | #
# Copyright (c) 2008-2015 Citrix Systems, 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 l... | 28.355191 | 137 | 0.72461 |
bc3063da49d6a07aaabf4c6e400ea075cf719e61 | 1,279 | py | Python | src/Learning/visualizations.py | olekscode/NameGen | bb0683194df15c9709a1d09252c638a80999b40c | [
"MIT"
] | null | null | null | src/Learning/visualizations.py | olekscode/NameGen | bb0683194df15c9709a1d09252c638a80999b40c | [
"MIT"
] | null | null | null | src/Learning/visualizations.py | olekscode/NameGen | bb0683194df15c9709a1d09252c638a80999b40c | [
"MIT"
] | null | null | null | import constants
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
COLORS = {
'green': sns.xkcd_rgb["faded green"],
'red': sns.xkcd_rgb["pale red"],
'blue': sns.xkcd_rgb["medium blue"],
'yellow': sns.xkcd_rgb["ochre"]
}
def plot_confusion_dataframe(df, nrows=5, with... | 25.078431 | 75 | 0.639562 |
f4318c108c7e51480c6e64b4defb19b630bdb87f | 10,177 | py | Python | Lib/distutils/tests/test_filelist.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | 1 | 2018-06-21T18:21:24.000Z | 2018-06-21T18:21:24.000Z | Lib/distutils/tests/test_filelist.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | Lib/distutils/tests/test_filelist.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | """Tests dla distutils.filelist."""
zaimportuj os
zaimportuj re
zaimportuj unittest
z distutils zaimportuj debug
z distutils.log zaimportuj WARN
z distutils.errors zaimportuj DistutilsTemplateError
z distutils.filelist zaimportuj glob_to_re, translate_pattern, FileList
z test.support zaimportuj captured_stdout, run_un... | 33.923333 | 79 | 0.554289 |
8113d52abefbf2b463fd71a5f1031403fcb968ce | 276 | py | Python | sample/models.py | ernestom/django-google-maps | d415971901fd114019d0483f98a22aa7c897e8bf | [
"BSD-2-Clause"
] | 205 | 2015-01-18T21:03:08.000Z | 2022-03-26T17:02:05.000Z | sample/models.py | ernestom/django-google-maps | d415971901fd114019d0483f98a22aa7c897e8bf | [
"BSD-2-Clause"
] | 55 | 2015-05-06T18:36:41.000Z | 2022-03-22T11:48:11.000Z | sample/models.py | ernestom/django-google-maps | d415971901fd114019d0483f98a22aa7c897e8bf | [
"BSD-2-Clause"
] | 92 | 2015-02-16T20:01:31.000Z | 2022-03-02T14:15:36.000Z | from django.db import models
from django_google_maps.fields import AddressField, GeoLocationField
class SampleModel(models.Model):
address = AddressField(max_length=100)
geolocation = GeoLocationField(blank=True)
def __str__(self):
return self.address
| 23 | 68 | 0.768116 |
ad8b4d31df93a9f8f2f3978ddfb089cc492cf94e | 1,149 | py | Python | scripts/seperate_two_real.py | TechieBoy/deepfake-detection | 5bc7164710a32a64a65dd55e09aa58a030e8d0ee | [
"MIT"
] | null | null | null | scripts/seperate_two_real.py | TechieBoy/deepfake-detection | 5bc7164710a32a64a65dd55e09aa58a030e8d0ee | [
"MIT"
] | null | null | null | scripts/seperate_two_real.py | TechieBoy/deepfake-detection | 5bc7164710a32a64a65dd55e09aa58a030e8d0ee | [
"MIT"
] | null | null | null | import pandas as pd
from shutil import copy
import os
import torch
import csv
df = pd.read_csv("~/deepfake/raw/combined_metadata.csv")
real_videos = df[df.label == "REAL"]
cf = {}
fd = {}
small_folder = "/home/teh_devs/deepfake/small"
for i in range(50):
folder_name = f"/home/teh_devs/deepfake/raw/dfdc_train_... | 28.02439 | 87 | 0.642298 |
880d4e8252c1a261f88fde4f17ee817369ea334b | 1,006 | py | Python | treasuryio/tweetbot.py | csvsoundsystem/pytreasuryio | 728caf815d16cd2f3548d8b67c84313de76f9be7 | [
"MIT"
] | 2 | 2017-10-09T23:29:02.000Z | 2019-08-12T18:20:27.000Z | treasuryio/tweetbot.py | csvsoundsystem/pytreasuryio | 728caf815d16cd2f3548d8b67c84313de76f9be7 | [
"MIT"
] | null | null | null | treasuryio/tweetbot.py | csvsoundsystem/pytreasuryio | 728caf815d16cd2f3548d8b67c84313de76f9be7 | [
"MIT"
] | 3 | 2019-08-12T18:20:33.000Z | 2021-01-11T21:26:47.000Z | import os
import yaml
from datetime import datetime
import tweepy
from query import query
def _connect_to_twitter(config = os.path.expanduser("~/.twitter.yml")):
conf = yaml.safe_load(open(config))
auth = tweepy.OAuthHandler(conf['consumer_key'], conf['consumer_secret'])
auth.set_access_token(conf['acces... | 23.952381 | 93 | 0.656064 |
34dd363fce3a9b2a38da5f7e1afb4f26d0a4f796 | 8,922 | py | Python | mypython/Lib/site-packages/pandas/core/accessor.py | lilianatang/data-modelling-with-postgresql | 4b5d057d23c346cc36695dc0548f11908aeb5431 | [
"Apache-2.0"
] | null | null | null | mypython/Lib/site-packages/pandas/core/accessor.py | lilianatang/data-modelling-with-postgresql | 4b5d057d23c346cc36695dc0548f11908aeb5431 | [
"Apache-2.0"
] | null | null | null | mypython/Lib/site-packages/pandas/core/accessor.py | lilianatang/data-modelling-with-postgresql | 4b5d057d23c346cc36695dc0548f11908aeb5431 | [
"Apache-2.0"
] | 1 | 2021-04-26T22:41:56.000Z | 2021-04-26T22:41:56.000Z | """
accessor.py contains base classes for implementing accessor properties
that can be mixed into or pinned onto other pandas classes.
"""
from typing import FrozenSet, List, Set
import warnings
from pandas.util._decorators import doc
class DirNamesMixin:
_accessors: Set[str] = set()
_hidden_... | 30.040404 | 85 | 0.594486 |
86a6d43260cc34811b2167f52ced115d882c7e82 | 1,308 | py | Python | ica/paraphraseator/callbacks/LoggerCallback.py | pedrorio/image_caption_augmentation | 683ed90cecd4bc12f65dc238f1ff2dedbbc1b666 | [
"MIT"
] | null | null | null | ica/paraphraseator/callbacks/LoggerCallback.py | pedrorio/image_caption_augmentation | 683ed90cecd4bc12f65dc238f1ff2dedbbc1b666 | [
"MIT"
] | null | null | null | ica/paraphraseator/callbacks/LoggerCallback.py | pedrorio/image_caption_augmentation | 683ed90cecd4bc12f65dc238f1ff2dedbbc1b666 | [
"MIT"
] | null | null | null | import os
import logging
from pytorch_lightning import Callback, seed_everything
seed_everything(42)
class LoggerCallback(Callback):
def __init__(self):
self.logger = logging.getLogger(__name__)
def on_validation_end(self, trainer, module):
self.logger.info("***** Validation results *****")... | 33.538462 | 84 | 0.570336 |
1504a3b5fc3bcfbf476c45b92bb608923c6f58dc | 1,838 | py | Python | utils.py | swapno-ahmed/CoursePicker | 60260a283faac5988ccb1bf70c31db013ec71602 | [
"MIT"
] | 3 | 2022-01-23T06:46:22.000Z | 2022-01-23T07:03:06.000Z | utils.py | swapno-ahmed/CoursePicker | 60260a283faac5988ccb1bf70c31db013ec71602 | [
"MIT"
] | null | null | null | utils.py | swapno-ahmed/CoursePicker | 60260a283faac5988ccb1bf70c31db013ec71602 | [
"MIT"
] | null | null | null | from collections import defaultdict
import pandas as pd
def make_ds(data):
follow_up = defaultdict(list)
prereq_count = defaultdict(int)
start = []
for i, row in data.iterrows():
follow_up[i] = []
prereq_count[i] = 0
for i, row in data.iterrows():
for col in data.loc[i]:
... | 28.71875 | 95 | 0.642002 |
b7b9ed2b92e6a2bea5fa9d4dfa86026a076a4dd6 | 475 | py | Python | env/Lib/site-packages/plotly/validators/isosurface/colorbar/_outlinewidth.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | venv/Lib/site-packages/plotly/validators/isosurface/colorbar/_outlinewidth.py | wakisalvador/constructed-misdirection | 74779e9ec640a11bc08d5d1967c85ac4fa44ea5e | [
"Unlicense"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | venv/Lib/site-packages/plotly/validators/isosurface/colorbar/_outlinewidth.py | wakisalvador/constructed-misdirection | 74779e9ec640a11bc08d5d1967c85ac4fa44ea5e | [
"Unlicense"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="outlinewidth", parent_name="isosurface.colorbar", **kwargs
):
super(OutlinewidthValidator, self).__init__(
plotly_name=plotly_name,
... | 31.666667 | 85 | 0.650526 |
769724780eb110fef8772210efaf064a92b8ca70 | 8,041 | py | Python | classla/models/lemma/trainer.py | lkrsnik/classla-stanfordnlp | 1ab8771aadfbc648cec51b4c6716797f698e67ff | [
"Apache-2.0"
] | 1 | 2020-07-04T21:06:20.000Z | 2020-07-04T21:06:20.000Z | classla/models/lemma/trainer.py | lkrsnik/classla-stanfordnlp | 1ab8771aadfbc648cec51b4c6716797f698e67ff | [
"Apache-2.0"
] | null | null | null | classla/models/lemma/trainer.py | lkrsnik/classla-stanfordnlp | 1ab8771aadfbc648cec51b4c6716797f698e67ff | [
"Apache-2.0"
] | null | null | null | """
A trainer class to handle training and testing of models.
"""
import sys
import numpy as np
from collections import Counter
import torch
from torch import nn
import torch.nn.init as init
import classla.models.common.seq2seq_constant as constant
from classla.models.common.seq2seq_model import Seq2SeqModel
from cla... | 38.845411 | 116 | 0.575053 |
ab143492ef3bc0b77544ce29a49d7b8d05cbbdf0 | 317 | py | Python | examples/hexbin_marginals.py | tomasojea/seaborn | 9b03f8138949402a351fa06e2598144812aae586 | [
"BSD-3-Clause"
] | 2 | 2020-07-24T04:45:51.000Z | 2020-09-04T11:10:27.000Z | examples/hexbin_marginals.py | tomasojea/seaborn | 9b03f8138949402a351fa06e2598144812aae586 | [
"BSD-3-Clause"
] | 1 | 2020-10-31T23:31:41.000Z | 2020-10-31T23:31:41.000Z | examples/hexbin_marginals.py | tomasojea/seaborn | 9b03f8138949402a351fa06e2598144812aae586 | [
"BSD-3-Clause"
] | 2 | 2020-11-02T18:25:54.000Z | 2021-07-23T16:15:34.000Z | """
Hexbin plot with marginal distributions
=======================================
_thumb: .45, .4
"""
import numpy as np
import seaborn as sns
sns.set(style="ticks")
rs = np.random.RandomState(11)
x = rs.gamma(2, size=1000)
y = -.5 * x + rs.normal(size=1000)
sns.jointplot(x=x, y=y, kind="hex", color="#4CB391")
| 19.8125 | 52 | 0.586751 |
e1fca749c8ee6ac5bcdba83ab1c3afb860c5490f | 6,884 | py | Python | userbot/modules/system_stats.py | MADEWGN/botgabut | d92094598fd7cdfd40f41e31fa44035212ed2cd8 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/system_stats.py | MADEWGN/botgabut | d92094598fd7cdfd40f41e31fa44035212ed2cd8 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/system_stats.py | MADEWGN/botgabut | d92094598fd7cdfd40f41e31fa44035212ed2cd8 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.c (the "License");
# you may not use this file except in compliance with the License.
#
""" Userbot module for getting information about the server. """
from asyncio import create_subprocess_exec as asyncru... | 35.122449 | 85 | 0.514672 |
edee8cf11802c613b871dd30a55c6ccca5720e88 | 136 | py | Python | testes e exercícios/exercicios/script_008.py | LightSnow17/exercicios-Python | 3ac016ce284860f45d71cfb396d33a73ec06c25d | [
"MIT"
] | null | null | null | testes e exercícios/exercicios/script_008.py | LightSnow17/exercicios-Python | 3ac016ce284860f45d71cfb396d33a73ec06c25d | [
"MIT"
] | null | null | null | testes e exercícios/exercicios/script_008.py | LightSnow17/exercicios-Python | 3ac016ce284860f45d71cfb396d33a73ec06c25d | [
"MIT"
] | null | null | null | c = float(input('Coloque a temperatura em ºC: '))
f = ((9*c)/5) + 32
print('O valor informado em {}ºC corresponde a {}ºF'.format(c, f))
| 34 | 66 | 0.632353 |
b28b9a5c21913e022e95af2e4d9a68924c795668 | 1,787 | py | Python | code/scores.py | nishant-sachdeva/BRED_PRIOJECT | 06d9909478080259b2ef5fee291b73bd8bbabfe1 | [
"MIT"
] | null | null | null | code/scores.py | nishant-sachdeva/BRED_PRIOJECT | 06d9909478080259b2ef5fee291b73bd8bbabfe1 | [
"MIT"
] | null | null | null | code/scores.py | nishant-sachdeva/BRED_PRIOJECT | 06d9909478080259b2ef5fee291b73bd8bbabfe1 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
def get_score(file_name):
file_path = "../data/csv_files/" + file_name
dataFrame = pd.read_csv(file_path)
dataFrame = dataFrame.dropna()
response_times = dataFrame.iloc[:, -1]
responses = dataFrame.iloc[:,-2].value_counts(sort=False)
average_resoponse_ti... | 33.716981 | 95 | 0.729715 |
88de0f9397896de78ff9c92ba6564b60928997d9 | 2,021 | py | Python | leetcode/binary_tree/230.py | 1lch2/PythonExercise | 9adbe5fc2bce71f4c09ccf83079c44699c27fce4 | [
"MIT"
] | 1 | 2020-08-19T09:26:20.000Z | 2020-08-19T09:26:20.000Z | leetcode/binary_tree/230.py | 1lch2/PythonExercise | 9adbe5fc2bce71f4c09ccf83079c44699c27fce4 | [
"MIT"
] | null | null | null | leetcode/binary_tree/230.py | 1lch2/PythonExercise | 9adbe5fc2bce71f4c09ccf83079c44699c27fce4 | [
"MIT"
] | null | null | null | # 给定一个二叉搜索树，编写一个函数 kthSmallest 来查找其中第 k 个最小的元素。
# 说明：
# 你可以假设 k 总是有效的，1 ≤ k ≤ 二叉搜索树元素个数。
# 示例 1:
# 输入: root = [3,1,4,null,2], k = 1
# 3
# / \
# 1 4
# \
# 2
# 输出: 1
# 示例 2:
# 输入: root = [5,3,6,2,4,null,null,1], k = 3
# 5
# / \
# 3 6
# / \
# 2 4
# /
# 1
# 输出: 3
# Definiti... | 22.965909 | 57 | 0.402771 |
7a8a9572cae2af1407d3f055a629d3fabf58a72b | 5,907 | py | Python | tests/broker/test_request_review.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 7 | 2015-07-31T05:57:30.000Z | 2021-09-07T15:18:56.000Z | tests/broker/test_request_review.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 115 | 2015-03-03T13:11:46.000Z | 2021-09-20T12:42:24.000Z | tests/broker/test_request_review.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 13 | 2015-03-03T11:17:59.000Z | 2021-09-09T09:16:41.000Z | #!/usr/bin/env python
# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*-
# ex: set expandtab softtabstop=4 shiftwidth=4:
#
# Copyright (C) 2018 Contributor
#
# 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... | 38.109677 | 74 | 0.585746 |
d2ce9282417481e205eb2ba30d4d78268a61ee6c | 713 | py | Python | solutions/python3/1246.py | sm2774us/amazon_interview_prep_2021 | f580080e4a6b712b0b295bb429bf676eb15668de | [
"MIT"
] | 42 | 2020-08-02T07:03:49.000Z | 2022-03-26T07:50:15.000Z | solutions/python3/1246.py | ajayv13/leetcode | de02576a9503be6054816b7444ccadcc0c31c59d | [
"MIT"
] | null | null | null | solutions/python3/1246.py | ajayv13/leetcode | de02576a9503be6054816b7444ccadcc0c31c59d | [
"MIT"
] | 40 | 2020-02-08T02:50:24.000Z | 2022-03-26T15:38:10.000Z | class Solution:
def minimumMoves(self, arr: List[int]) -> int:
n = len(arr)
dp = [[0] * (n + 1) for _ in range(n + 1)]
for l in range(1, n + 1):
i, j = 0, l - 1
while j < n:
if l == 1:
dp[i][j] = 1
else:
... | 37.526316 | 85 | 0.295933 |
a69b92e0a07f2711471a48b4c3a6cdaa3557b1c6 | 9,813 | py | Python | scimm/bin/scimm.py | movingpictures83/SCIMM | ef28ca7a56dcb7576f7e566d4296bb7c28c0306e | [
"MIT"
] | null | null | null | scimm/bin/scimm.py | movingpictures83/SCIMM | ef28ca7a56dcb7576f7e566d4296bb7c28c0306e | [
"MIT"
] | null | null | null | scimm/bin/scimm.py | movingpictures83/SCIMM | ef28ca7a56dcb7576f7e566d4296bb7c28c0306e | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
from optparse import OptionParser, SUPPRESS_HELP
import os, glob, subprocess, sys, math, shutil
import imm_cluster, util
############################################################
# scimm.py
#
# Sequence Clustering with Interpolated Markov Models
#
# Author: David Kelley
######################... | 39.728745 | 240 | 0.53959 |
085283fcb6b243437f1e0c66363c8a6d5b0e15a8 | 1,544 | py | Python | src/compas_rv2/singular/rhino/geometry/curve.py | selinabitting/compas-RV2 | 0884cc00d09c8f4a75eb2b97614105e4c8bfd818 | [
"MIT"
] | 4 | 2022-01-17T19:17:22.000Z | 2022-01-21T18:06:02.000Z | src/compas_rv2/singular/rhino/geometry/curve.py | selinabitting/compas-RV2 | 0884cc00d09c8f4a75eb2b97614105e4c8bfd818 | [
"MIT"
] | null | null | null | src/compas_rv2/singular/rhino/geometry/curve.py | selinabitting/compas-RV2 | 0884cc00d09c8f4a75eb2b97614105e4c8bfd818 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import compas_rhino
from compas_rhino.geometry import RhinoCurve
class RhinoCurve(RhinoCurve):
def __init__(self):
super(RhinoCurve, self).__init__()
def divide(self, number_of_segments, ove... | 31.510204 | 120 | 0.626295 |
f20622007638d3745e5c1bc31c12fb530a3df21c | 1,074 | py | Python | 5430 AC.py | jangThang/Baekjoon-problem | f34c7d9977ad95fbe2a59c0096bf8ff1e885c01f | [
"MIT"
] | null | null | null | 5430 AC.py | jangThang/Baekjoon-problem | f34c7d9977ad95fbe2a59c0096bf8ff1e885c01f | [
"MIT"
] | null | null | null | 5430 AC.py | jangThang/Baekjoon-problem | f34c7d9977ad95fbe2a59c0096bf8ff1e885c01f | [
"MIT"
] | null | null | null | from collections import deque
import sys
input = sys.stdin.readline
#입력
T = int(input())
for _ in range(T):
p = input().rstrip()
n = int(input())
if n == 0:
input()
numlist = deque([])
else:
numlist = deque(list(input().strip("[]\n").split(",")))
#연산시작
front = True #앞에서부... | 21.48 | 63 | 0.393855 |
7836b8443000e73b4c3deb29caf043387ccad91b | 372 | py | Python | djangocms_forms/managers.py | gruy/djangocms-forms | 96fa3c249b8f443d0063f07b9273f1eaca3314fe | [
"BSD-3-Clause"
] | 136 | 2015-04-28T18:09:13.000Z | 2022-01-11T19:46:44.000Z | djangocms_forms/managers.py | gruy/djangocms-forms | 96fa3c249b8f443d0063f07b9273f1eaca3314fe | [
"BSD-3-Clause"
] | 80 | 2015-05-20T15:33:13.000Z | 2021-05-31T07:49:23.000Z | djangocms_forms/managers.py | gruy/djangocms-forms | 96fa3c249b8f443d0063f07b9273f1eaca3314fe | [
"BSD-3-Clause"
] | 91 | 2015-04-28T18:13:55.000Z | 2022-03-17T10:49:04.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.db.models import Count
class ActiveFormManager(models.Manager):
def get_queryset(self):
qs = super(ActiveFormManager, self).get_queryset()
return qs.annotate(submission_count=Count('submissio... | 26.571429 | 67 | 0.72043 |
2a1cf4084c960345167d1cac1cfdcb5e665d956a | 457 | py | Python | Question/migrations/0004_auto_20200206_1117.py | AlirezAkbary/FeedbackSys | 250acd75d4b903cc647ed86aab7b1a22909a056e | [
"bzip2-1.0.6"
] | null | null | null | Question/migrations/0004_auto_20200206_1117.py | AlirezAkbary/FeedbackSys | 250acd75d4b903cc647ed86aab7b1a22909a056e | [
"bzip2-1.0.6"
] | null | null | null | Question/migrations/0004_auto_20200206_1117.py | AlirezAkbary/FeedbackSys | 250acd75d4b903cc647ed86aab7b1a22909a056e | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 2.0.7 on 2020-02-06 07:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Question', '0003_auto_20200203_2212'),
]
operations = [
migrations.AlterField(
model_name='question',
name='q_type',... | 24.052632 | 118 | 0.599562 |
d7f08c0ae8d862d23814dcbcca0822b9c715cfc5 | 2,185 | py | Python | pc_spec/data.py | konrad-kocik/pc-spec | 027fe7e831d500c4b8b73994ebb421d8bf5c8617 | [
"MIT"
] | null | null | null | pc_spec/data.py | konrad-kocik/pc-spec | 027fe7e831d500c4b8b73994ebb421d8bf5c8617 | [
"MIT"
] | 14 | 2022-02-19T14:53:37.000Z | 2022-03-02T19:32:42.000Z | pc_spec/data.py | konrad-kocik/pc-spec | 027fe7e831d500c4b8b73994ebb421d8bf5c8617 | [
"MIT"
] | null | null | null | from json import dump, load, JSONDecodeError
from pathlib import Path
from typing import List, Dict, Tuple
from pc_spec.pc import PC, Components
from pc_spec.store import Store
def save_store(store: Store, target_dir: Path):
"""
Saves given store to JSON file created in given directory.
If given director... | 34.140625 | 103 | 0.727231 |
6abf03f820d8d11b6a983105d547b539751c469a | 121 | py | Python | hello_world.py.py | Kbrane-08/ASTR-119-HW | 73c9de7a647345653db5ec37f31e8006800a1c5e | [
"MIT"
] | null | null | null | hello_world.py.py | Kbrane-08/ASTR-119-HW | 73c9de7a647345653db5ec37f31e8006800a1c5e | [
"MIT"
] | null | null | null | hello_world.py.py | Kbrane-08/ASTR-119-HW | 73c9de7a647345653db5ec37f31e8006800a1c5e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#this program will write
#Hello World!
print("Hello World!") # print out Hello World!
| 15.125 | 49 | 0.652893 |
9c53b140fbf8fdf21e55658b28f6ea3c52381748 | 76,414 | py | Python | torchxrayvision/datasets.py | ahatamiz/torchxrayvision | e5863899a48fcb69bae216cf16325d00b7c17e95 | [
"Apache-2.0"
] | 1 | 2021-09-26T21:51:10.000Z | 2021-09-26T21:51:10.000Z | torchxrayvision/datasets.py | ahatamiz/torchxrayvision | e5863899a48fcb69bae216cf16325d00b7c17e95 | [
"Apache-2.0"
] | null | null | null | torchxrayvision/datasets.py | ahatamiz/torchxrayvision | e5863899a48fcb69bae216cf16325d00b7c17e95 | [
"Apache-2.0"
] | null | null | null | from PIL import Image
from os.path import join
from skimage.io import imread, imsave
import imageio
from torch import nn
from torch.nn.modules.linear import Linear
from torch.utils.data import Dataset
from torchvision import transforms
from tqdm import tqdm
import numpy as np
import os,sys,os.path
import pandas as pd
i... | 37.791296 | 312 | 0.557738 |
2f7199f806ef3bacd40350f91b815bc349c5eff0 | 14,762 | py | Python | rapid7vmconsole/models/operating_system_cpe.py | kiblik/vm-console-client-python | 038f6d33e8b2654a558326c6eb87f09ee23e0e22 | [
"MIT"
] | 61 | 2018-05-17T05:57:09.000Z | 2022-03-08T13:59:21.000Z | rapid7vmconsole/models/operating_system_cpe.py | kiblik/vm-console-client-python | 038f6d33e8b2654a558326c6eb87f09ee23e0e22 | [
"MIT"
] | 33 | 2018-06-26T16:21:14.000Z | 2022-03-03T20:55:47.000Z | rapid7vmconsole/models/operating_system_cpe.py | kiblik/vm-console-client-python | 038f6d33e8b2654a558326c6eb87f09ee23e0e22 | [
"MIT"
] | 43 | 2018-02-24T05:45:53.000Z | 2022-03-31T22:15:16.000Z | # coding: utf-8
"""
Python InsightVM API Client
OpenAPI spec version: 3
Contact: support@rapid7.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class OperatingSystemCpe(object):
"""NOTE: This class is auto generated by ... | 32.16122 | 258 | 0.604593 |
6cedabfe1e70d580ea447c58515c5b5c1265f293 | 30 | py | Python | btd6_memory_info/generated/System/Runtime/Remoting/Messaging/LogicalCallContext/logical_call_context.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/System/Runtime/Remoting/Messaging/LogicalCallContext/logical_call_context.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/System/Runtime/Remoting/Messaging/LogicalCallContext/logical_call_context.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | class LogicalCallContext: pass | 30 | 30 | 0.9 |
23b3b73ebf4d0935f37a073f255576ac3e641354 | 716 | py | Python | celery_janitor/backends/base.py | comandrei/celery-janitor | 5f1ad663958e24ccb3abceaa227a12da495b6ecb | [
"MIT"
] | null | null | null | celery_janitor/backends/base.py | comandrei/celery-janitor | 5f1ad663958e24ccb3abceaa227a12da495b6ecb | [
"MIT"
] | null | null | null | celery_janitor/backends/base.py | comandrei/celery-janitor | 5f1ad663958e24ccb3abceaa227a12da495b6ecb | [
"MIT"
] | null | null | null | class Queue(object):
def __init__(self, queue):
self._queue = queue
self.name = None
def delete(self):
raise NotImplementedError()
class BrokerBackend(object):
def __init__(self):
self._queues = None
@property
def queues(self):
if self._queues is None:
... | 21.69697 | 60 | 0.593575 |
a97f1ea166cde690cbf285cdd16974e29a30e3ae | 23,042 | py | Python | FC3_LightVLAD/frame_level_models.py | YichaoOU/DeepCats | 9b1909e3608ca358d6f82a7db7afb21a68cb5b76 | [
"MIT"
] | 1 | 2018-09-18T15:56:42.000Z | 2018-09-18T15:56:42.000Z | FC3_LightVLAD/frame_level_models.py | YichaoOU/DeepCats | 9b1909e3608ca358d6f82a7db7afb21a68cb5b76 | [
"MIT"
] | null | null | null | FC3_LightVLAD/frame_level_models.py | YichaoOU/DeepCats | 9b1909e3608ca358d6f82a7db7afb21a68cb5b76 | [
"MIT"
] | 1 | 2018-09-18T15:56:44.000Z | 2018-09-18T15:56:44.000Z | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 35.178626 | 98 | 0.650334 |
92b064865a4701456b1a41d0cb07f6ce5f9124fe | 490 | py | Python | Mundo 1/Aula10.Ex29.py | uirasiqueira/Exercicios_Python | 409b7be9cf278e3043149654de7b41be56a3d951 | [
"MIT"
] | null | null | null | Mundo 1/Aula10.Ex29.py | uirasiqueira/Exercicios_Python | 409b7be9cf278e3043149654de7b41be56a3d951 | [
"MIT"
] | null | null | null | Mundo 1/Aula10.Ex29.py | uirasiqueira/Exercicios_Python | 409b7be9cf278e3043149654de7b41be56a3d951 | [
"MIT"
] | null | null | null | ''' Escreva um programa que leia a velocidade de um carro.
Se ele ultrapassar 80Km/h, mostre uma mensagem dizendo que ele foi multado.
A multa vai custar R$ 7,00 por cada Km acima do limite'''
v = float(input('Qual a velocidade atual do seu carro? '))
if v > 80:
n = (v - 80)*7
print(f'MULTADO!!!! A velocidade ... | 54.444444 | 112 | 0.685714 |
a1c1951566833e0e755955e299855df11c02295f | 2,602 | py | Python | src/generate_feature9.py | drivendata/countable-care-3rd-place | d1bba2f09ba0196cc3f35d2a41ea93bfbc4086a2 | [
"MIT"
] | 2 | 2020-06-26T12:00:28.000Z | 2021-09-20T19:28:24.000Z | src/generate_feature9.py | drivendata/countable-care-3rd-place | d1bba2f09ba0196cc3f35d2a41ea93bfbc4086a2 | [
"MIT"
] | null | null | null | src/generate_feature9.py | drivendata/countable-care-3rd-place | d1bba2f09ba0196cc3f35d2a41ea93bfbc4086a2 | [
"MIT"
] | 2 | 2019-05-16T17:40:03.000Z | 2021-09-20T19:28:25.000Z | #!/usr/bin/env python
from scipy import sparse
from sklearn.datasets import dump_svmlight_file
from sklearn.preprocessing import LabelEncoder
import argparse
import logging
import numpy as np
import os
import pandas as pd
from kaggler.util import encode_categorical_features, normalize_numerical_feature
logging.bas... | 35.643836 | 98 | 0.671022 |
94d99a82ec553099faa9ccff561d31129c0203ed | 57,746 | py | Python | src/sage/schemes/elliptic_curves/isogeny_class.py | yzpopulation/sage | d2dc2f80b5a8e039701e292653e25366e3e5ec1e | [
"BSL-1.0"
] | null | null | null | src/sage/schemes/elliptic_curves/isogeny_class.py | yzpopulation/sage | d2dc2f80b5a8e039701e292653e25366e3e5ec1e | [
"BSL-1.0"
] | null | null | null | src/sage/schemes/elliptic_curves/isogeny_class.py | yzpopulation/sage | d2dc2f80b5a8e039701e292653e25366e3e5ec1e | [
"BSL-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
r"""
Isogeny class of elliptic curves over number fields
AUTHORS:
- David Roe (2012-03-29) -- initial version.
- John Cremona (2014-08) -- extend to number fields.
"""
##############################################################################
# Copyright (C) 2012-2014 David Roe <roe... | 39.390177 | 739 | 0.551778 |
227a86e6c8c7e15c54f8cdf5b808efabced34b3c | 1,283 | py | Python | arcade/gui/examples/grid_layout.py | Ibrahim2750mi/arcade | bf3229e64117931bffb8e50926a996a7a8fc9b8b | [
"MIT"
] | null | null | null | arcade/gui/examples/grid_layout.py | Ibrahim2750mi/arcade | bf3229e64117931bffb8e50926a996a7a8fc9b8b | [
"MIT"
] | 1 | 2022-03-21T06:24:29.000Z | 2022-03-21T06:24:29.000Z | arcade/gui/examples/grid_layout.py | Ibrahim2750mi/arcade | bf3229e64117931bffb8e50926a996a7a8fc9b8b | [
"MIT"
] | null | null | null | import arcade
from arcade.gui import UIManager
from arcade.gui.widgets import UIDummy
from arcade.gui.widgets.layout import UIGridLayout, UIAnchorLayout
class UIMockup(arcade.Window):
def __init__(self):
super().__init__(800, 600, "UI Mockup", resizable=True)
self.manager = UIManager()
sel... | 27.891304 | 66 | 0.624318 |
4807b4a5984ce8f5ada952d85d2628a6705f5d41 | 1,476 | py | Python | rl/utils/networks/dyna_network.py | unkper/PedestrainSimulationModule | 039ed0903a0861130566d8d1d862594064b8e0db | [
"MIT"
] | null | null | null | rl/utils/networks/dyna_network.py | unkper/PedestrainSimulationModule | 039ed0903a0861130566d8d1d862594064b8e0db | [
"MIT"
] | null | null | null | rl/utils/networks/dyna_network.py | unkper/PedestrainSimulationModule | 039ed0903a0861130566d8d1d862594064b8e0db | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class dyna_model_network(nn.Module):
def __init__(self, state_dim, action_dim, hidden_dim):
'''
reward, is_done都视为一维的
:param state_dim:
:param action_dim:
'''
super(dyna_model_netw... | 32.086957 | 62 | 0.636179 |
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