hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
da4c1af35b78bb185c69f2e2ce2c1d8ceee1a22d | 667 | py | Python | chapter03/knock25.py | m-star18/NLP100 | e199814f81943f7fb693fd5fe87d6df21da07f5b | [
"MIT"
] | 1 | 2020-07-15T17:21:13.000Z | 2020-07-15T17:21:13.000Z | chapter03/knock25.py | m-star18/NLP100 | e199814f81943f7fb693fd5fe87d6df21da07f5b | [
"MIT"
] | 1 | 2021-05-04T01:04:57.000Z | 2021-05-04T01:05:32.000Z | chapter03/knock25.py | m-star18/NLP100 | e199814f81943f7fb693fd5fe87d6df21da07f5b | [
"MIT"
] | null | null | null | import re
import pandas as pd
df = pd.read_json('jawiki-country.json', lines=True)
text = df.query('title=="イギリス"')['text'].values[0].split('\n')
memo, flag = [], False
template = '基礎情報'
check = re.compile('\|(.+?)\s=\s(.+)')
check1 = re.compile('\{\{' + template)
check2 = re.compile('\}\}')
check3 = re.compile('\|')... | 23.821429 | 62 | 0.55922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.188873 |
da4c202f2a4d50150a0f027ce75d19d6e0f3d28d | 316 | py | Python | constants.py | jaingaurav3/ML_sample | 4e53de198f7965fa96f0db44717df27032df4b48 | [
"MIT"
] | 19 | 2018-06-08T05:33:47.000Z | 2021-04-26T16:19:32.000Z | constants.py | jaingaurav3/ML_sample | 4e53de198f7965fa96f0db44717df27032df4b48 | [
"MIT"
] | null | null | null | constants.py | jaingaurav3/ML_sample | 4e53de198f7965fa96f0db44717df27032df4b48 | [
"MIT"
] | 13 | 2018-09-24T21:52:06.000Z | 2021-02-26T10:40:25.000Z | # Datasets
TRAIN = 'trn'
VAL = 'val'
TEST = 'tst'
FULL = 'full'
# File extensions
JPG = '.jpg'
TIF = '.tif'
PNG = '.png'
GIF = '.gif'
BCOLZ = '.bc'
CSV = '.csv'
# PyTorch
MODEL_EXT = '.mdl'
WEIGHTS_EXT = '.th'
OPTIM_EXT = '.th'
# Data Aug
IMAGENET_MEAN = [0.485, 0.456, 0.406]
IMAGENET_STD = [0.229, 0.224, 0.225] | 14.363636 | 37 | 0.591772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.373418 |
da4ce36d9c8b0451cd19a4276193992895c3a0ed | 23,304 | py | Python | create_dataset.py | akudan/nephi | 83d3ccee0b83b3ca2349e92c454ed178afd1d1fb | [
"MIT"
] | 50 | 2018-04-22T23:12:18.000Z | 2022-02-14T15:10:24.000Z | create_dataset.py | akudan/nephi | 83d3ccee0b83b3ca2349e92c454ed178afd1d1fb | [
"MIT"
] | 1 | 2019-03-01T02:54:19.000Z | 2019-03-01T15:30:12.000Z | create_dataset.py | akudan/nephi | 83d3ccee0b83b3ca2349e92c454ed178afd1d1fb | [
"MIT"
] | 19 | 2018-02-07T21:17:13.000Z | 2022-02-14T15:11:46.000Z | import os
import lmdb # install lmdb by "pip install lmdb"
import cv2
import numpy as np
from tool.xml_parser import page_images
from glob import glob
import re
import sys
import io
import argparse
from scipy.spatial import distance
encoding = 'utf-8'
stdout = sys.stdout
reload(sys)
sys.setdefaultencoding('utf-8')
s... | 40.458333 | 277 | 0.573249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,590 | 0.239873 |
da4d25bd823544d3dde8ed32e826fbbb55bcbd80 | 1,226 | py | Python | a10sdk/core/maximum/maximum_paths.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 16 | 2015-05-20T07:26:30.000Z | 2021-01-23T11:56:57.000Z | a10sdk/core/maximum/maximum_paths.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 6 | 2015-03-24T22:07:11.000Z | 2017-03-28T21:31:18.000Z | a10sdk/core/maximum/maximum_paths.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 23 | 2015-03-29T15:43:01.000Z | 2021-06-02T17:12:01.000Z | from a10sdk.common.A10BaseClass import A10BaseClass
class MaximumPaths(A10BaseClass):
"""Class Description::
Set maximum number of route multipaths installed into FIB.
Class maximum-paths supports CRUD Operations and inherits from `common/A10BaseClass`.
This class is the `"PARENT"` class for thi... | 32.263158 | 168 | 0.638662 | 1,169 | 0.953507 | 0 | 0 | 0 | 0 | 0 | 0 | 845 | 0.689233 |
da4d50c0cd6f0dd5e191b086879be35c23707ff8 | 331 | py | Python | ocun.py | jpcyrino/chunker_dm | 1afde2400b81d0fbc351dcb4658546ef018d2640 | [
"MIT"
] | 1 | 2022-02-23T12:33:01.000Z | 2022-02-23T12:33:01.000Z | ocun.py | jpcyrino/chunker_dm | 1afde2400b81d0fbc351dcb4658546ef018d2640 | [
"MIT"
] | null | null | null | ocun.py | jpcyrino/chunker_dm | 1afde2400b81d0fbc351dcb4658546ef018d2640 | [
"MIT"
] | null | null | null | import sys
filename = sys.argv[1]
fileout = sys.argv[2]
with open(filename, encoding="utf-8", mode="r") as file:
lines = file.read().split("\n")
data_lines = [lines[i] for i in range(0,len(lines),3)]
print(data_lines)
with open(fileout, encoding="utf-8", mode="w") as file:
for line in data_lines:
file.write(lin... | 20.6875 | 56 | 0.667674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.084592 |
da4f18d031bec1129d069479e75d9c035f860d1d | 2,412 | py | Python | galaxy/main/urls.py | changelox/galaxy | fc8e11b36de0b78e55c13c05ffc3a3fcaf8b39dc | [
"Apache-2.0"
] | null | null | null | galaxy/main/urls.py | changelox/galaxy | fc8e11b36de0b78e55c13c05ffc3a3fcaf8b39dc | [
"Apache-2.0"
] | null | null | null | galaxy/main/urls.py | changelox/galaxy | fc8e11b36de0b78e55c13c05ffc3a3fcaf8b39dc | [
"Apache-2.0"
] | null | null | null | # (c) 2012-2018, Ansible by Red Hat
#
# This file is part of Ansible Galaxy
#
# Ansible Galaxy is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
... | 37.107692 | 76 | 0.681177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,216 | 0.504146 |
da52f7ade412e44099bbd5c88acd3fc976745c19 | 1,002 | py | Python | PROJ/LEVY/RN_CHF/cf_RN_KoBoL.py | mattslezak-shell/PROJ_Option_Pricing_Matlab | 6105bd00ba3471802180c122fdf81e90833a91c4 | [
"MIT"
] | null | null | null | PROJ/LEVY/RN_CHF/cf_RN_KoBoL.py | mattslezak-shell/PROJ_Option_Pricing_Matlab | 6105bd00ba3471802180c122fdf81e90833a91c4 | [
"MIT"
] | null | null | null | PROJ/LEVY/RN_CHF/cf_RN_KoBoL.py | mattslezak-shell/PROJ_Option_Pricing_Matlab | 6105bd00ba3471802180c122fdf81e90833a91c4 | [
"MIT"
] | 1 | 2022-01-07T15:31:45.000Z | 2022-01-07T15:31:45.000Z | # Generated with SMOP 0.41-beta
try:
from smop.libsmop import *
except ImportError:
raise ImportError('File compiled with `smop3`, please install `smop3` to run it.') from None
# cf_RN_KoBoL.m
@function
def cf_RN_KoBoL(u=None,T=None,r=None,c=None,lam_p=None,lam_m=None,nu=None,*args,**kwargs):
... | 27.833333 | 100 | 0.58483 | 0 | 0 | 0 | 0 | 736 | 0.734531 | 0 | 0 | 356 | 0.355289 |
da5590e5f9e56a1abcc8575518a715e6c27967cd | 161 | py | Python | hello-world.py | rmoralesdelgado/example-repo | a0d6f935264ec60a0278ea9fc5b8a694b5e33f0b | [
"MIT"
] | null | null | null | hello-world.py | rmoralesdelgado/example-repo | a0d6f935264ec60a0278ea9fc5b8a694b5e33f0b | [
"MIT"
] | null | null | null | hello-world.py | rmoralesdelgado/example-repo | a0d6f935264ec60a0278ea9fc5b8a694b5e33f0b | [
"MIT"
] | null | null | null | # This is a modified line
if __name__ == "__main__":
print("Hello World")
print("I am a new line")
print(hi)
# blah blha
def myfunc_1():
pass
| 10.733333 | 28 | 0.608696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.481481 |
da55b03a123eb70e524ac2c9ba783fe7003f5224 | 250 | py | Python | mundo 1/ex020.py | thiagofreitascarneiro/Curso-de-Python---Curso-em-Video | 0342e482780b5a1c6f78cddd51d9bfad785c79fa | [
"MIT"
] | 1 | 2021-08-04T13:21:22.000Z | 2021-08-04T13:21:22.000Z | mundo 1/ex020.py | thiagofreitascarneiro/Curso-de-Python---Curso-em-Video | 0342e482780b5a1c6f78cddd51d9bfad785c79fa | [
"MIT"
] | null | null | null | mundo 1/ex020.py | thiagofreitascarneiro/Curso-de-Python---Curso-em-Video | 0342e482780b5a1c6f78cddd51d9bfad785c79fa | [
"MIT"
] | null | null | null | import random
n1 = str(input('Primeiro Aluno'))
n2 = str(input('Segundo Aluno'))
n3 = str(input('Terceiro Aluno'))
n4 = str(input('Quarto Aluno'))
lista = [n1,n2,n3,n4]
Ordem = random.sample(lista,k=4)
print(f'A ordem de apresentação será: {Ordem}') | 27.777778 | 47 | 0.692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.411067 |
da58277b5c2af60a518ecbd9a3ef1bdee746623d | 1,306 | py | Python | python3/ais_sdk/utils.py | MeekoI/ais-sdk | 76240abc49795e914988f3cafb6d08f60dbdcb4c | [
"Apache-2.0"
] | null | null | null | python3/ais_sdk/utils.py | MeekoI/ais-sdk | 76240abc49795e914988f3cafb6d08f60dbdcb4c | [
"Apache-2.0"
] | null | null | null | python3/ais_sdk/utils.py | MeekoI/ais-sdk | 76240abc49795e914988f3cafb6d08f60dbdcb4c | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
import os
import base64
import urllib.request
import ais_sdk.ais as ais
_ENDPOINT = {
'image': {
'cn-north-1':'image.cn-north-1.myhuaweicloud.com',
'ap-southeast-1':'image.ap-southeast-1.myhuaweicloud.com'
},
'moderation': {
'cn-north-1':'moderation.... | 24.641509 | 70 | 0.666156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.348392 |
da5863a5ec445793ea40d771aa319962f8ec9010 | 609 | py | Python | GUI/dialogs/propulsion_dialogs/propulsion_dialog.py | StepLogic/Parametric-Drone-Design-Software | be9c537427f85b08c071c2666712fd32643cd439 | [
"Unlicense"
] | 7 | 2021-03-17T01:23:28.000Z | 2021-05-06T20:41:21.000Z | GUI/dialogs/propulsion_dialogs/propulsion_dialog.py | StepLogic/Parametric-Drone-Design-Software | be9c537427f85b08c071c2666712fd32643cd439 | [
"Unlicense"
] | null | null | null | GUI/dialogs/propulsion_dialogs/propulsion_dialog.py | StepLogic/Parametric-Drone-Design-Software | be9c537427f85b08c071c2666712fd32643cd439 | [
"Unlicense"
] | null | null | null | from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from GUI.tabs.propulsion_tab.propulsion_tab import propulsion_tab
class propulsion_dialog(QDialog):
def __init__(self):
super().__init__()
self.tab = propulsion_tab()
self.layout =self.tab.create_widget()
self.buttons = QDia... | 30.45 | 65 | 0.689655 | 482 | 0.791461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
da58d75367a4513d4ada4db3e0cf52dc127dc010 | 726 | py | Python | blind_75/06_removeNthFromEnd.py | NursultanBeken/leetcode_practice | 8aa8a033f95110aafa6acd9ebf842d716fd7552b | [
"MIT"
] | 1 | 2020-09-20T03:55:00.000Z | 2020-09-20T03:55:00.000Z | blind_75/06_removeNthFromEnd.py | NursultanBeken/leetcode_practice | 8aa8a033f95110aafa6acd9ebf842d716fd7552b | [
"MIT"
] | null | null | null | blind_75/06_removeNthFromEnd.py | NursultanBeken/leetcode_practice | 8aa8a033f95110aafa6acd9ebf842d716fd7552b | [
"MIT"
] | null | null | null | """
Dummy node, two pointers, swap nodes
"""
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution(object):
def removeNthFromEnd(self, head, n):
"""
:type head: ListNode
:... | 22 | 43 | 0.479339 | 521 | 0.717631 | 0 | 0 | 0 | 0 | 0 | 0 | 288 | 0.396694 |
da58d89c89872e8d53a290617cb5b532f0d040f3 | 1,157 | py | Python | hard-gists/1023456/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/1023456/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/1023456/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | import scriptcontext
import time
import System
import Rhino
rc, view = Rhino.Input.RhinoGet.GetView("select view")
print "position mouse where you want"
for i in [5,4,3,2,1]:
time.sleep(0.5)
print i
screen_point = System.Windows.Forms.Cursor.Position
print "screen_point =", screen_point
# convert screen coo... | 33.057143 | 84 | 0.78911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 0.289542 |
da590cce76c1f0b75eaa800793b065c606ed64fc | 62 | py | Python | core/models/abstract/__init__.py | jcquinlan/colophon | 96f3eec0a524cb1fe3d655f3cc850b125f4aaff4 | [
"MIT"
] | null | null | null | core/models/abstract/__init__.py | jcquinlan/colophon | 96f3eec0a524cb1fe3d655f3cc850b125f4aaff4 | [
"MIT"
] | null | null | null | core/models/abstract/__init__.py | jcquinlan/colophon | 96f3eec0a524cb1fe3d655f3cc850b125f4aaff4 | [
"MIT"
] | null | null | null | from .user_document_interaction import UserDocumentInteraction | 62 | 62 | 0.935484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
da5ad4fa6a5854b1d737a7b9cbf69ded01ce0a95 | 769 | py | Python | EasyNN/optimizer/nesterov.py | danielwilczak101/EasyNN | 89319e974c324dda228c6ecff7c39d723eda3ca2 | [
"MIT"
] | 5 | 2021-01-28T21:19:02.000Z | 2022-02-03T05:47:47.000Z | EasyNN/optimizer/nesterov.py | danielwilczak101/EasyNN | 89319e974c324dda228c6ecff7c39d723eda3ca2 | [
"MIT"
] | 1 | 2021-02-04T20:57:45.000Z | 2021-03-03T14:49:44.000Z | EasyNN/optimizer/nesterov.py | danielwilczak101/EasyNN | 89319e974c324dda228c6ecff7c39d723eda3ca2 | [
"MIT"
] | 2 | 2021-02-12T04:27:40.000Z | 2021-12-19T20:11:20.000Z | """
TODO: Not complete.
"""
from __future__ import annotations
from EasyNN.optimizer.momentum_descent import MomentumDescent
import EasyNN.model.abc
class Nesterov(MomentumDescent):
"""Nesterov uses parameters -= lr * momentum, where the momentum is computed by looking ahead."""
def get_derivatives(self: Nes... | 36.619048 | 101 | 0.717815 | 617 | 0.802341 | 0 | 0 | 0 | 0 | 0 | 0 | 173 | 0.224967 |
da5c80138d99d10b2de1007d8d74ecb978a6b876 | 3,483 | py | Python | dl/cifar_python_data_layer.py | zsffq999/DISH | 2285747d9a410363ce09778aed5314a2e1b1aed9 | [
"MIT"
] | 3 | 2018-09-22T13:13:46.000Z | 2020-05-09T07:24:44.000Z | dl/cifar_python_data_layer.py | zsffq999/DISH | 2285747d9a410363ce09778aed5314a2e1b1aed9 | [
"MIT"
] | null | null | null | dl/cifar_python_data_layer.py | zsffq999/DISH | 2285747d9a410363ce09778aed5314a2e1b1aed9 | [
"MIT"
] | null | null | null | # imports
import caffe
import numpy as np
from random import shuffle
import cPickle as cp
import scipy.io as sio
class PythonDataLayer(caffe.Layer):
"""
This is a simple syncronous datalayer for training a multilabel model on
CIFAR.
"""
def setup(self, bottom, top):
self.top_names = ['dat... | 29.025 | 125 | 0.669825 | 3,346 | 0.960666 | 0 | 0 | 0 | 0 | 0 | 0 | 1,295 | 0.371806 |
da5d5dda91394d5fcd0bc5d32616b3e16dc5d436 | 875 | py | Python | ethsential/__main__.py | 1140251/Ethsential | 1de423358f5a0ba8b84d80fa63bce09552bca9fd | [
"Apache-2.0"
] | 7 | 2021-10-11T12:07:08.000Z | 2022-01-10T01:19:36.000Z | ethsential/__main__.py | 1140251/Ethsential | 1de423358f5a0ba8b84d80fa63bce09552bca9fd | [
"Apache-2.0"
] | null | null | null | ethsential/__main__.py | 1140251/Ethsential | 1de423358f5a0ba8b84d80fa63bce09552bca9fd | [
"Apache-2.0"
] | null | null | null | import sys
from .src.applications.server import ETHSENTIAL
from .src.applications.cli import CLI
from .src.parser import create_parser
def main():
parser = create_parser()
args = parser.parse_args()
if args.action == 'cli':
try:
CLI.exec_cmd(args)
except Exception as e:
... | 24.305556 | 53 | 0.537143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.074286 |
da5ea178b4528bc2e8ee17e0a8132d23a6388e83 | 2,322 | py | Python | scripts/msig_prods_update_tag.py | xenbo/eosforce | f77a73c2b49f40f8af5c11a13b0a7eb069e02b5f | [
"MIT"
] | 117 | 2018-06-22T08:49:36.000Z | 2022-01-30T17:08:29.000Z | scripts/msig_prods_update_tag.py | xenbo/eosforce | f77a73c2b49f40f8af5c11a13b0a7eb069e02b5f | [
"MIT"
] | 17 | 2018-07-05T04:06:47.000Z | 2020-09-07T06:19:25.000Z | scripts/msig_prods_update_tag.py | xenbo/eosforce | f77a73c2b49f40f8af5c11a13b0a7eb069e02b5f | [
"MIT"
] | 42 | 2018-06-22T08:57:42.000Z | 2022-03-28T13:08:02.000Z | #!/usr/bin/env python3
import argparse
import json
import os
import re
import subprocess
import sys
import time
enable_push = True # True to push on chain
cleos = '../build/programs/cleos/cleos --wallet-url http://127.0.0.1:6666 --url http://127.0.0.1:8001 '
wallet_password = ''
wallet_name = 'testc'
active_account =... | 26.089888 | 103 | 0.615418 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 641 | 0.276055 |
da5fc436cce22928bf1e7b8ba50df3169ca33055 | 7,027 | py | Python | maskrcnn/preprocess/download_googlestaticmap.py | JBoshoff/Replicate-night-light | 5bdfbb99fe38f98f61f733f4e847be2bb6f559ef | [
"MIT"
] | 8 | 2020-08-26T21:05:32.000Z | 2021-08-18T06:55:24.000Z | maskrcnn/preprocess/download_googlestaticmap.py | JBoshoff/Replicate-night-light | 5bdfbb99fe38f98f61f733f4e847be2bb6f559ef | [
"MIT"
] | null | null | null | maskrcnn/preprocess/download_googlestaticmap.py | JBoshoff/Replicate-night-light | 5bdfbb99fe38f98f61f733f4e847be2bb6f559ef | [
"MIT"
] | 2 | 2021-10-20T12:43:00.000Z | 2022-01-04T19:40:16.000Z | """This downloader downloads satellite images from the Google Static Maps API.
Usage:
$ python download_googlestaticmap.py \
> --log LOG_FILE.csv \
> --initialize INIT_FILE.csv
$ nohup python download_googlestaticmap.py \
> --log LOG_FILE.csv \
> --num 3 \
> --download-dir DIR \
... | 36.035897 | 84 | 0.565675 | 3,834 | 0.54561 | 0 | 0 | 0 | 0 | 0 | 0 | 3,035 | 0.431906 |
da5fcd544f0ebf019068c4964041f2d02daca8dc | 2,606 | py | Python | pyrh/endpoints.py | JamMarHer/pyrh | b5501482974d9a7ba9f34745642d0a2e585154f2 | [
"MIT"
] | null | null | null | pyrh/endpoints.py | JamMarHer/pyrh | b5501482974d9a7ba9f34745642d0a2e585154f2 | [
"MIT"
] | null | null | null | pyrh/endpoints.py | JamMarHer/pyrh | b5501482974d9a7ba9f34745642d0a2e585154f2 | [
"MIT"
] | null | null | null | BASE_API = "https://api.robinhood.com"
def login():
return BASE_API + "/oauth2/token/"
def logout():
return BASE_API + "/oauth2/revoke_token/"
def investment_profile():
return BASE_API + "/user/investment_profile/"
def accounts():
return BASE_API + "/accounts/"
def ach(option):
"""
Com... | 18.748201 | 88 | 0.653492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,096 | 0.420568 |
da5fdaa047dc2cba3b58d7d4eab745c4fc398500 | 9,138 | py | Python | task.py | zhester/aptask | 4fc5c2bfe8dbe373e2ddc5bc15562885bb20b28e | [
"BSD-2-Clause"
] | null | null | null | task.py | zhester/aptask | 4fc5c2bfe8dbe373e2ddc5bc15562885bb20b28e | [
"BSD-2-Clause"
] | null | null | null | task.py | zhester/aptask | 4fc5c2bfe8dbe373e2ddc5bc15562885bb20b28e | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
"""
User Task Interface
This module should be used to implement new task execution drivers.
Semantically, a task is the object a worker creates and manipulates to execute
long-running code or programs.
"""
import inspect
import data
#=========================================================... | 31.402062 | 78 | 0.478989 | 8,038 | 0.879624 | 0 | 0 | 856 | 0.093675 | 0 | 0 | 5,879 | 0.643357 |
da60447f22ba4eba74abcb47b3cadec2e06136d2 | 9,826 | py | Python | NeuroMechFly/experiments/kinematic_replay/kinematic_replay_no_support.py | NeLy-EPFL/NeuroMechFly | 69f9e2d86caac561a50e3e060d007dd50a20d481 | [
"Apache-2.0"
] | 12 | 2021-05-07T15:27:11.000Z | 2022-01-29T04:26:36.000Z | NeuroMechFly/experiments/kinematic_replay/kinematic_replay_no_support.py | NeLy-EPFL/NeuroMechFly | 69f9e2d86caac561a50e3e060d007dd50a20d481 | [
"Apache-2.0"
] | 15 | 2021-05-07T14:58:04.000Z | 2021-11-10T21:30:58.000Z | NeuroMechFly/experiments/kinematic_replay/kinematic_replay_no_support.py | NeLy-EPFL/NeuroMechFly | 69f9e2d86caac561a50e3e060d007dd50a20d481 | [
"Apache-2.0"
] | 1 | 2022-01-13T16:08:49.000Z | 2022-01-13T16:08:49.000Z | """ Drosophila simulation class for kinematic replay without body support. """
import numpy as np
import pandas as pd
import pybullet as p
from NeuroMechFly.sdf.units import SimulationUnitScaling
from NeuroMechFly.simulation.bullet_simulation import BulletSimulation
# Random number seed
np.random.seed(seed=321)
de... | 36.258303 | 91 | 0.569408 | 8,162 | 0.830569 | 0 | 0 | 0 | 0 | 0 | 0 | 3,025 | 0.307825 |
da6071c120cc4c6108f42d5833b8ae67a673f55d | 3,845 | py | Python | hw/ip/otbn/dv/otbnsim/sim/isa.py | wxjstz/opentitan | 6ff4397bac9c07373d735bd859c7ef8de39c2af8 | [
"Apache-2.0"
] | null | null | null | hw/ip/otbn/dv/otbnsim/sim/isa.py | wxjstz/opentitan | 6ff4397bac9c07373d735bd859c7ef8de39c2af8 | [
"Apache-2.0"
] | null | null | null | hw/ip/otbn/dv/otbnsim/sim/isa.py | wxjstz/opentitan | 6ff4397bac9c07373d735bd859c7ef8de39c2af8 | [
"Apache-2.0"
] | null | null | null | # Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
from enum import IntEnum
import sys
from typing import Dict
from riscvmodel.types import Immediate # type: ignore
from shared.insn_yaml import Insn, load_insns_yaml
fro... | 31.008065 | 78 | 0.649935 | 1,820 | 0.473342 | 0 | 0 | 0 | 0 | 0 | 0 | 1,621 | 0.421586 |
da624c2d151313fbe9db0021e53684c69e6d4b5f | 247 | py | Python | config.py | TaskeHAMANO/sample_application | 628699c62197dd5079e0b600f431c791ac3a301a | [
"BSD-3-Clause"
] | null | null | null | config.py | TaskeHAMANO/sample_application | 628699c62197dd5079e0b600f431c791ac3a301a | [
"BSD-3-Clause"
] | null | null | null | config.py | TaskeHAMANO/sample_application | 628699c62197dd5079e0b600f431c791ac3a301a | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# vim:fileencoding=utf-8
# Author: Shinya Suzuki
# Created: 2017-11-16
database_path = "/techathon.db"
SQLALCHEMY_DATABASE_URI = "sqlite://{0}".format(database_path)
SECRET_KEY = 'test'
SQLALCHEMY_TRACK_MODIFICATIONS = True
| 24.7 | 62 | 0.761134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.502024 |
da63d798dfe9c2ea59c6459800d52786ae4db56c | 2,668 | py | Python | tests/features/steps/environment_steps.py | candango/pyclicksign | d709122867cfa5c6fce4322b55a033bc82126e1c | [
"Apache-2.0"
] | null | null | null | tests/features/steps/environment_steps.py | candango/pyclicksign | d709122867cfa5c6fce4322b55a033bc82126e1c | [
"Apache-2.0"
] | 9 | 2022-01-15T19:43:46.000Z | 2022-03-24T06:04:25.000Z | tests/features/steps/environment_steps.py | candango/pyclicksign | d709122867cfa5c6fce4322b55a033bc82126e1c | [
"Apache-2.0"
] | null | null | null | # Copyright 2021-2022 Flávio Gonçalves Garcia
#
# 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... | 33.35 | 74 | 0.737631 | 0 | 0 | 0 | 0 | 1,608 | 0.602022 | 0 | 0 | 823 | 0.308124 |
da648cdce4097a5f15c459cc9d3dc08716cd7f4a | 2,967 | py | Python | photo_album_src/models_bk.py | chrisjen83/k3s-labs | b283c2500b272be0de1025ef541a46d7c4591cc1 | [
"MIT"
] | 1 | 2020-04-01T22:05:28.000Z | 2020-04-01T22:05:28.000Z | photo_album_src/models_bk.py | chrisjen83/k3s-labs | b283c2500b272be0de1025ef541a46d7c4591cc1 | [
"MIT"
] | null | null | null | photo_album_src/models_bk.py | chrisjen83/k3s-labs | b283c2500b272be0de1025ef541a46d7c4591cc1 | [
"MIT"
] | 5 | 2020-02-21T22:47:35.000Z | 2022-02-03T15:21:39.000Z | #!/usr/bin/env python3
# Import modules required for app
import os
import boto3
import json
from pymongo import MongoClient
from werkzeug import secure_filename
from PIL import Image
from config import ecs_test_drive
#Get from K8s ConfigMap values for MongoDB Database
MONGO_SERVER = os.environ.get( "MONGO_SERVER", Non... | 34.905882 | 115 | 0.691271 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,160 | 0.390967 |
da67084ae53c45931e9876b1394dc1aa92e625de | 12,051 | py | Python | pymothoa/llvm_backend/backend.py | sklam/pymothoa | 330bd70666ccf761f39c75f3acb70aa7e0a92ac6 | [
"BSD-2-Clause"
] | 2 | 2017-03-23T19:44:03.000Z | 2020-11-28T17:01:49.000Z | pymothoa/llvm_backend/backend.py | sklam/pymothoa | 330bd70666ccf761f39c75f3acb70aa7e0a92ac6 | [
"BSD-2-Clause"
] | null | null | null | pymothoa/llvm_backend/backend.py | sklam/pymothoa | 330bd70666ccf761f39c75f3acb70aa7e0a92ac6 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2012, Siu Kwan Lam
# All rights reserved.
import logging
import ast
from contextlib import contextmanager
from pymothoa.util.descriptor import Descriptor, instanceof
from pymothoa import dialect
from pymothoa.compiler_errors import *
from pymothoa.backend import CodeGenerationBase
from types import *... | 35.759644 | 110 | 0.617127 | 11,646 | 0.966393 | 1,465 | 0.121567 | 1,505 | 0.124886 | 0 | 0 | 1,196 | 0.099245 |
da68786bead17edb9e00b001f796346815fc35ed | 2,412 | py | Python | digsby/src/jabber/objects/gmail/mail_thread_info.py | ifwe/digsby | f5fe00244744aa131e07f09348d10563f3d8fa99 | [
"Python-2.0"
] | 35 | 2015-08-15T14:32:38.000Z | 2021-12-09T16:21:26.000Z | digsby/src/jabber/objects/gmail/mail_thread_info.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 4 | 2015-09-12T10:42:57.000Z | 2017-02-27T04:05:51.000Z | digsby/src/jabber/objects/gmail/mail_thread_info.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 15 | 2015-07-10T23:58:07.000Z | 2022-01-23T22:16:33.000Z | #tid The thread id of this thread.
#participation A number indicating the user's participation level in this thread: 0 indicates that the user has not participated; 1 indicates that the user is one of many recipients listed in the thread; 2 indicates that the user is the sole recipient for messages in this thr... | 47.294118 | 285 | 0.69942 | 1,559 | 0.646352 | 0 | 0 | 0 | 0 | 0 | 0 | 754 | 0.312604 |
da687c22550da7202f3e33817124a03999dca63a | 542 | py | Python | cloud/single_stage_detector/pytorch/onnx_demo.py | mgoin/inference | ede5477a2aee72ceb435e9ecd599ffa052417c2a | [
"Apache-2.0"
] | 4 | 2019-07-26T03:00:39.000Z | 2021-01-29T16:12:21.000Z | cloud/single_stage_detector/pytorch/onnx_demo.py | mgoin/inference | ede5477a2aee72ceb435e9ecd599ffa052417c2a | [
"Apache-2.0"
] | null | null | null | cloud/single_stage_detector/pytorch/onnx_demo.py | mgoin/inference | ede5477a2aee72ceb435e9ecd599ffa052417c2a | [
"Apache-2.0"
] | 2 | 2019-11-12T15:57:29.000Z | 2022-03-02T21:26:58.000Z | import onnxruntime
import onnx
import os
from onnx import numpy_helper
onnx_model_dir = 'test_ssd_model'
onnx_data_dir = 'test_data_set_0'
sess = onnxruntime.InferenceSession(os.path.join(onnx_model_dir, 'model.onnx'))
img_tensor = onnx.TensorProto()
with open(os.path.join(onnx_model_dir, onnx_data_dir, 'input_0.pb')... | 30.111111 | 80 | 0.778598 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.112546 |
da69d942b34c7cb188f48d8f571305a3929e1a1b | 95 | py | Python | abfahrt/unittest/__init__.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | 1 | 2022-01-30T14:30:02.000Z | 2022-01-30T14:30:02.000Z | abfahrt/unittest/__init__.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | null | null | null | abfahrt/unittest/__init__.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | null | null | null | """
Unittest-Package for testing the most important classes/modules of the abfahrt-Package
"""
| 23.75 | 86 | 0.778947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.989474 |
da6a8272e09ed6bcdd72fe1fe0ed6ca276090222 | 3,519 | py | Python | uat/test_uat_CLIParser.py | sorint-lab-us/aws-greengrass-gdk-cli | 7508c7f62dcee1638cfc895ea38f3842e0072f0e | [
"Apache-2.0"
] | null | null | null | uat/test_uat_CLIParser.py | sorint-lab-us/aws-greengrass-gdk-cli | 7508c7f62dcee1638cfc895ea38f3842e0072f0e | [
"Apache-2.0"
] | null | null | null | uat/test_uat_CLIParser.py | sorint-lab-us/aws-greengrass-gdk-cli | 7508c7f62dcee1638cfc895ea38f3842e0072f0e | [
"Apache-2.0"
] | null | null | null | import json
import os
import subprocess as sp
import tempfile
from pathlib import Path
import gdk.common.exceptions.error_messages as error_messages
def test_list_template():
check_list_template = sp.run(["gdk", "component", "list", "--template"], check=True, stdout=sp.PIPE)
assert "HelloWorld-python" in che... | 40.918605 | 126 | 0.700199 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 996 | 0.283035 |
da6b4c0eec1b1ed14670ffd508f05ac5d26c2b77 | 1,326 | py | Python | mysite/image/forms.py | HelloTecXin/ZXBlog | 60d1f95f541138aa56acbaf4dcfbfe208491d65b | [
"MIT"
] | 1 | 2020-03-17T08:28:48.000Z | 2020-03-17T08:28:48.000Z | mysite/image/forms.py | HelloTecXin/ZXBlog | 60d1f95f541138aa56acbaf4dcfbfe208491d65b | [
"MIT"
] | null | null | null | mysite/image/forms.py | HelloTecXin/ZXBlog | 60d1f95f541138aa56acbaf4dcfbfe208491d65b | [
"MIT"
] | null | null | null | from django import forms
from django.core.files.base import ContentFile
from slugify import slugify
from urllib import request
from .models import Image
class ImageForm(forms.ModelForm):
class Meta:
model = Image
fields = ('title','url','description')
def clean_url(self):
... | 41.4375 | 113 | 0.667421 | 1,464 | 0.89816 | 0 | 0 | 0 | 0 | 0 | 0 | 650 | 0.398773 |
da71b1822bbf0d5369bea52d007ca8f6061551f0 | 128 | py | Python | MT-top-perf-cron.py | AdeTheux/ducksboard | 339c965dcef448713ed521ba066759f6fb43c2b1 | [
"MIT"
] | null | null | null | MT-top-perf-cron.py | AdeTheux/ducksboard | 339c965dcef448713ed521ba066759f6fb43c2b1 | [
"MIT"
] | null | null | null | MT-top-perf-cron.py | AdeTheux/ducksboard | 339c965dcef448713ed521ba066759f6fb43c2b1 | [
"MIT"
] | null | null | null | python /homez.144/arnoz/www/dev/MT_ducksboard_top_perf.py -u EMAIL/token -p TOKEN -d mtservicedesk.zendesk.com -a TOKEN -l 72676 | 128 | 128 | 0.796875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
da741a60b0b7e242baf0c8917409303691b189e3 | 1,110 | py | Python | APP/__init__.py | jcyongqin/MerryChristmas2016 | f1bfc0f9df33dad474f28bbefa21f320e4ee48e9 | [
"MIT"
] | null | null | null | APP/__init__.py | jcyongqin/MerryChristmas2016 | f1bfc0f9df33dad474f28bbefa21f320e4ee48e9 | [
"MIT"
] | null | null | null | APP/__init__.py | jcyongqin/MerryChristmas2016 | f1bfc0f9df33dad474f28bbefa21f320e4ee48e9 | [
"MIT"
] | null | null | null | print('Merry Christmas!!!')
import sys
#
# int main(int argc, char* argv[]) {
# int n = argc > 1 ? atoi(argv[1]) : 4;
# for (int j = 1; j <= n; j++) {
# int s = 1 << j, k = (1 << n) - s, x;
# for (int y = s - j; y >= 0; y--, putchar('\n')) {
# for (x = 0; x < y + k; x++) printf(" "... | 28.461538 | 83 | 0.351351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 618 | 0.524618 |
da760162956fd30fc878df9712168c347b1cba4a | 1,013 | py | Python | pyday_night_funkin/enums.py | Square789/PydayNightFunkin | 8d43daec947202566419a2d5ce63cc191b7b8e3c | [
"Apache-2.0"
] | null | null | null | pyday_night_funkin/enums.py | Square789/PydayNightFunkin | 8d43daec947202566419a2d5ce63cc191b7b8e3c | [
"Apache-2.0"
] | 34 | 2021-09-10T01:08:14.000Z | 2022-03-25T18:10:08.000Z | pyday_night_funkin/enums.py | Square789/PydayNightFunkin | 8d43daec947202566419a2d5ce63cc191b7b8e3c | [
"Apache-2.0"
] | null | null | null | """
Enums that aren't really too coupled to anything else.
"""
from enum import IntEnum
class DIFFICULTY(IntEnum):
EASY = 0
NORMAL = 1
HARD = 2
def to_song_json_suffix(self) -> str:
if self is self.EASY:
return "-easy"
elif self is self.NORMAL:
return ""
elif self is self.HARD:
return "-hard"
r... | 15.828125 | 78 | 0.672261 | 773 | 0.76308 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0.157947 |
da7627eec05c00f505b4e3736efa9cd06fb060ee | 946 | py | Python | app/restapi/apiMovieDetail.py | DucVinh2609/mtb_admin | 0f67faabcda7b6a5bd5f30126b46a5367d00f77b | [
"MIT"
] | null | null | null | app/restapi/apiMovieDetail.py | DucVinh2609/mtb_admin | 0f67faabcda7b6a5bd5f30126b46a5367d00f77b | [
"MIT"
] | 4 | 2021-06-08T20:42:38.000Z | 2022-03-12T00:07:41.000Z | app/restapi/apiMovieDetail.py | DucVinh2609/mtb_admin | 0f67faabcda7b6a5bd5f30126b46a5367d00f77b | [
"MIT"
] | null | null | null | # import pymysql
# from app import app
# from flask import jsonify
# from flask import flash, request
# from flask_restful import Resource, Api
# from flaskext.mysql import MySQL
# mysql = MySQL()
# # MySQL configurations
# app.config['MYSQL_DATABASE_USER'] = 'root'
# app.config['MYSQL_DATABASE_PASSWORD'] = ''
# app.... | 36.384615 | 273 | 0.732558 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 921 | 0.973573 |
da774b4615481a7592e47b528fe32fca5d803722 | 56 | py | Python | aioface/storages/fsm/types.py | kirillkuzin/aioface | c19f89f3f0f6ccb95832030444f2ece8fda7de62 | [
"MIT"
] | 1 | 2020-09-12T21:10:54.000Z | 2020-09-12T21:10:54.000Z | aioface/storages/fsm/types.py | kirillkuzin/aioface | c19f89f3f0f6ccb95832030444f2ece8fda7de62 | [
"MIT"
] | null | null | null | aioface/storages/fsm/types.py | kirillkuzin/aioface | c19f89f3f0f6ccb95832030444f2ece8fda7de62 | [
"MIT"
] | null | null | null | import typing
State = typing.NewType('State', object)
| 11.2 | 39 | 0.732143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.125 |
da776d50619a771e6d0a4ec84979dc6f33204a34 | 291 | py | Python | wqxweblib/__main__.py | FlippingBinary/wqxweblib | 129ac6d010f5fb726fe29dc9494f90f19a7ec4c0 | [
"MIT"
] | null | null | null | wqxweblib/__main__.py | FlippingBinary/wqxweblib | 129ac6d010f5fb726fe29dc9494f90f19a7ec4c0 | [
"MIT"
] | null | null | null | wqxweblib/__main__.py | FlippingBinary/wqxweblib | 129ac6d010f5fb726fe29dc9494f90f19a7ec4c0 | [
"MIT"
] | null | null | null | import sys
def main(argv:list):
print('This module does not yet support direct execution. It should be used as a library.')
print('More information is available at https://github.com/FlippingBinary/wqxweblib-python')
return 0
if __name__ == "__main__":
main(sys.argv[1:])
| 29.1 | 95 | 0.714777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.61512 |
da78a73d88c09570047fcaf5e2a501ef100b4dc0 | 28,780 | py | Python | tools/check_cluster.py | jmatuskey/jupyterhub-deploy | 6669bb0fa8e6da52f74d4ca015cea9dc96105a34 | [
"Unlicense"
] | 1 | 2021-06-02T18:35:05.000Z | 2021-06-02T18:35:05.000Z | tools/check_cluster.py | jmatuskey/jupyterhub-deploy | 6669bb0fa8e6da52f74d4ca015cea9dc96105a34 | [
"Unlicense"
] | 64 | 2020-05-11T12:35:26.000Z | 2022-03-28T16:03:37.000Z | tools/check_cluster.py | jmatuskey/jupyterhub-deploy | 6669bb0fa8e6da52f74d4ca015cea9dc96105a34 | [
"Unlicense"
] | 11 | 2020-04-07T13:32:07.000Z | 2022-02-07T19:16:24.000Z | #! /usr/bin/env python
"""Check properties of Terraformed resources and/or JupyterHub to verify good deployment.
ignore the hub since it may not be delpoyed on the cluster yet.
check creation date
check for global hammer
"""
import sys
import os
import subprocess
import argparse
import re
import json
from collection... | 37.087629 | 243 | 0.618277 | 13,356 | 0.464072 | 0 | 0 | 1,040 | 0.036136 | 0 | 0 | 17,569 | 0.610459 |
da78b0227ad76c6a1e8ba2489ed9c76d00da8725 | 791 | py | Python | tests/in/test_application.py | evereux/catia_python | 08948585899b12587b0415ce3c9191a408b34897 | [
"MIT"
] | 90 | 2019-02-21T10:05:28.000Z | 2022-03-19T01:53:41.000Z | tests/in/test_application.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 99 | 2019-05-21T08:29:12.000Z | 2022-03-25T09:55:15.000Z | tests/in/test_application.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 26 | 2019-04-04T06:31:36.000Z | 2022-03-30T07:24:47.000Z | #! /usr/bin/python3.6
from pycatia import catia
from tests.source_files import cat_part_measurable
def test_application():
caa = catia()
assert 'Application(name="CNEXT")' in caa.__repr__()
def test_refresh():
caa = catia()
documents = caa.documents
documents.open(cat_part_measurable)
docum... | 19.775 | 56 | 0.705436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.060683 |
da7992586d3c2316d0ce8cb23cf3e01e30ae505b | 4,632 | py | Python | test/util.py | CarysT/xar | f476c05dec373fcdcd0e884d5a0201501555edb9 | [
"BSD-2-Clause"
] | null | null | null | test/util.py | CarysT/xar | f476c05dec373fcdcd0e884d5a0201501555edb9 | [
"BSD-2-Clause"
] | null | null | null | test/util.py | CarysT/xar | f476c05dec373fcdcd0e884d5a0201501555edb9 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
import contextlib
import hashlib
import os
import os.path
import shutil
import stat
import subprocess
import sys
import xattr
class TestCaseSkipError(Exception):
pass
def skip_if_no_compression_support(type):
"""
Raises TestCaseSkipError if the type is "lzma" and the test is running on
darw... | 31.726027 | 193 | 0.708765 | 41 | 0.008851 | 1,247 | 0.269214 | 1,328 | 0.286701 | 0 | 0 | 1,710 | 0.369171 |
da79b4fcd76b875d0455312cd540c29c3adde2c1 | 15,083 | py | Python | run_game_with_python_arcade.py | LiorAvrahami/fishy-game | e13d71ad04625edffc1ff32f56c918166f6b0bb9 | [
"MIT"
] | 5 | 2021-04-24T18:13:36.000Z | 2021-08-31T13:54:55.000Z | run_game_with_python_arcade.py | LiorAvrahami/fishy-game | e13d71ad04625edffc1ff32f56c918166f6b0bb9 | [
"MIT"
] | null | null | null | run_game_with_python_arcade.py | LiorAvrahami/fishy-game | e13d71ad04625edffc1ff32f56c918166f6b0bb9 | [
"MIT"
] | null | null | null | import arcade
import arcade.gui
from modifications_to_python_arcade.gui_manager import ModifiedUIManager
from modifications_to_python_arcade.resizeable_window import ResizeableWindow
from arcade.gui.ui_style import UIStyle
import fish
from controls import PlayerControlsObject
from fish_generator import RandomFishGene... | 39.381201 | 211 | 0.679772 | 13,664 | 0.905921 | 0 | 0 | 1,756 | 0.116422 | 0 | 0 | 1,174 | 0.077836 |
da7b3bc161256bb5501fd5bd641192702f9a7738 | 2,306 | py | Python | pebbles/views/sessions.py | CSCfi/pebbles | 24b32e8fc538cc8095fda62c892a8221346c2bce | [
"MIT"
] | 4 | 2017-05-11T14:50:32.000Z | 2020-01-10T09:02:27.000Z | pebbles/views/sessions.py | CSCfi/pebbles | 24b32e8fc538cc8095fda62c892a8221346c2bce | [
"MIT"
] | 145 | 2017-04-07T11:01:58.000Z | 2019-12-11T15:30:23.000Z | pebbles/views/sessions.py | CSCfi/pebbles | 24b32e8fc538cc8095fda62c892a8221346c2bce | [
"MIT"
] | 3 | 2017-10-25T12:36:16.000Z | 2018-04-26T08:49:34.000Z | from flask_restful import fields, marshal
from flask import Blueprint as FlaskBlueprint
import logging
import json
from pebbles.models import User
from pebbles.forms import SessionCreateForm
from pebbles.server import app, restful
from pebbles.views.commons import is_group_manager, update_email # changed
sessions =... | 36.603175 | 98 | 0.624024 | 1,409 | 0.611015 | 0 | 0 | 0 | 0 | 0 | 0 | 523 | 0.2268 |
da7bab95ad749f6149016b3bc152e246a371a757 | 6,138 | py | Python | train_rrca.py | deepeshhada/ReXPlug | f6ba1e1707e04f82451fba8ada19c731c8f7c46e | [
"Apache-2.0"
] | 6 | 2021-04-04T05:09:32.000Z | 2022-01-21T10:59:20.000Z | train_rrca.py | deepeshhada/ReXPlug | f6ba1e1707e04f82451fba8ada19c731c8f7c46e | [
"Apache-2.0"
] | null | null | null | train_rrca.py | deepeshhada/ReXPlug | f6ba1e1707e04f82451fba8ada19c731c8f7c46e | [
"Apache-2.0"
] | 1 | 2021-11-06T05:36:03.000Z | 2021-11-06T05:36:03.000Z | import argparse
import os
import pickle
from copy import deepcopy
import pandas as pd
import torch.optim as optim
from torch.utils.data import DataLoader
from collate import CollateTrain, CollateTest
from models.RRCA import *
from utils.rrca_utils import evaluate, train_one_epoch
def get_embeddings(dataset_path):
... | 33.540984 | 117 | 0.750244 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,027 | 0.167318 |
da7bd622d1ddbda2597706e2f3a2142e325287e0 | 4,540 | py | Python | SignLAnguage/proyecto.py | val171001/SignLanguage | fc7622e4a31f007791f34fbf0ba08c89138389c5 | [
"MIT"
] | null | null | null | SignLAnguage/proyecto.py | val171001/SignLanguage | fc7622e4a31f007791f34fbf0ba08c89138389c5 | [
"MIT"
] | null | null | null | SignLAnguage/proyecto.py | val171001/SignLanguage | fc7622e4a31f007791f34fbf0ba08c89138389c5 | [
"MIT"
] | null | null | null | #Universidad del Valle de Guatemala
#HCI
#David valenzuela
#Marcos Gutierrez
#Fernando Hengstenebrg
#Librerias
from tkinter import *
from tkinter import messagebox as ms
#base de datos
import sqlite3
import os
import webbrowser
#Conectamos con base de datos y creamos usuarios
with sqlite3.connect('cuentas.db') as db:... | 38.803419 | 140 | 0.596256 | 3,969 | 0.873844 | 0 | 0 | 0 | 0 | 0 | 0 | 1,375 | 0.30273 |
da7e18ea9112e331d9b45cb4a08cb02a217b0d65 | 53 | py | Python | 001146StepikPyBegin/Stepik001146PyBeginсh06p01st08C07_fraction_20200419.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001146StepikPyBegin/Stepik001146PyBeginсh06p01st08C07_fraction_20200419.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001146StepikPyBegin/Stepik001146PyBeginсh06p01st08C07_fraction_20200419.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | num1 = float(input())
# num1 = 44.45
print(num1 % 1)
| 13.25 | 21 | 0.603774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.264151 |
da804ba481b451cc0ca78dfe3274c111f94eaf58 | 16,539 | py | Python | data-processing/utils/__init__.py | mark-andrews/BayesianAccountMemoryText | 28609a4d3d3924c5082af81359ffc3f78f6eb6da | [
"CC-BY-4.0"
] | 2 | 2020-04-10T17:14:19.000Z | 2020-04-10T17:14:26.000Z | data-processing/utils/__init__.py | mark-andrews/BayesianAccountMemoryText | 28609a4d3d3924c5082af81359ffc3f78f6eb6da | [
"CC-BY-4.0"
] | 18 | 2020-03-24T17:07:23.000Z | 2021-12-13T20:01:11.000Z | data-processing/utils/__init__.py | mark-andrews/BayesianAccountMemoryText | 28609a4d3d3924c5082af81359ffc3f78f6eb6da | [
"CC-BY-4.0"
] | null | null | null | """
Some general utils.
"""
##=============================================================================
## Standard library imports
##=============================================================================
#import string
#import re
#import os
#import errno
#import hashlib
#
##==============================... | 73.834821 | 104 | 0.912026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16,328 | 0.987242 |
da8089058869977e8a1f3875a6acbaed71ba57b4 | 651 | py | Python | src/turret/core/cli.py | VanJanssen/turret | a3b87940aa7ed07df7a60e7633f795c0fec26462 | [
"MIT"
] | 1 | 2018-01-09T12:40:00.000Z | 2018-01-09T12:40:00.000Z | src/turret/core/cli.py | VanJanssen/turret | a3b87940aa7ed07df7a60e7633f795c0fec26462 | [
"MIT"
] | 42 | 2018-01-05T11:45:56.000Z | 2019-03-11T09:41:11.000Z | src/turret/core/cli.py | VanJanssen/turret | a3b87940aa7ed07df7a60e7633f795c0fec26462 | [
"MIT"
] | 1 | 2017-08-29T15:54:28.000Z | 2017-08-29T15:54:28.000Z | # -*- coding: utf-8 -*-
"""Entry point for the command line interface of Turret.
The command line interface is split across multiple files, to increase
modulairity and maintainability. Every component of Turret has its own
subcommand, the CLI for this is in the `cli.py` file of this component. This
file imports the s... | 23.25 | 76 | 0.749616 | 0 | 0 | 0 | 0 | 129 | 0.198157 | 0 | 0 | 443 | 0.680492 |
da8173e404603548727bb332a693728554dd4658 | 3,927 | py | Python | timekeeper/log.py | jmcph4/timekeeper | 1ab850739c7071ebd8a4d1a63795d014bfa9c41b | [
"MIT"
] | null | null | null | timekeeper/log.py | jmcph4/timekeeper | 1ab850739c7071ebd8a4d1a63795d014bfa9c41b | [
"MIT"
] | 5 | 2017-07-19T10:09:32.000Z | 2017-07-30T03:32:56.000Z | timekeeper/log.py | jmcph4/timekeeper | 1ab850739c7071ebd8a4d1a63795d014bfa9c41b | [
"MIT"
] | null | null | null | from datetime import datetime
import sqlite3
from . import slice
class Log(object):
"""
Represents a series of slices, forming a log of how time was spent
"""
DT_FMT = "%Y-%m-%d %H:%M"
_COL_WIDTH = 15
def __init__(self, slices):
self._slices = {}
for s in slices:
... | 29.088889 | 164 | 0.507512 | 3,859 | 0.982684 | 0 | 0 | 134 | 0.034123 | 0 | 0 | 1,251 | 0.318564 |
da820a998854815eb9a984cf6f47297e37abd1fc | 709 | py | Python | tests/test_utils.py | leugimkm/codeseeker | f8a1f8668807a2b02cbaf5c596d26164ba75e366 | [
"MIT"
] | 1 | 2022-02-02T04:43:32.000Z | 2022-02-02T04:43:32.000Z | tests/test_utils.py | leugimkm/codeseeker | f8a1f8668807a2b02cbaf5c596d26164ba75e366 | [
"MIT"
] | 7 | 2022-02-02T05:25:40.000Z | 2022-03-23T17:16:19.000Z | tests/test_utils.py | leugimkm/codeseeker | f8a1f8668807a2b02cbaf5c596d26164ba75e366 | [
"MIT"
] | null | null | null | import io
import unittest
from unittest.mock import patch
from textwrap import dedent
from codeseeker.utils import show
class TestCodeSeekerUtils(unittest.TestCase):
def test_show(self):
data = [
{"path": "repository/path/to/file.py"},
{"path": "repository/path/to/file2.py"},
... | 24.448276 | 74 | 0.603667 | 536 | 0.755994 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.315938 |
da828fe3ebcfe4b60891da48c991e49aa603a4a1 | 3,267 | py | Python | cryptography/rail_fence_cipher/Python/rail_fence_cipher.py | avi-pal/al-go-rithms | 5167a20f1db7b366ff19f2962c1746a02e4f5067 | [
"CC0-1.0"
] | 1,253 | 2017-06-06T07:19:25.000Z | 2022-03-30T17:07:58.000Z | cryptography/rail_fence_cipher/Python/rail_fence_cipher.py | rishabh99-rc/al-go-rithms | 4df20d7ef7598fda4bc89101f9a99aac94cdd794 | [
"CC0-1.0"
] | 554 | 2017-09-29T18:56:01.000Z | 2022-02-21T15:48:13.000Z | cryptography/rail_fence_cipher/Python/rail_fence_cipher.py | rishabh99-rc/al-go-rithms | 4df20d7ef7598fda4bc89101f9a99aac94cdd794 | [
"CC0-1.0"
] | 2,226 | 2017-09-29T19:59:59.000Z | 2022-03-25T08:59:55.000Z | # used for decryption, take the second element for sorting
def takeSecond(elem):
return elem[1]
def display_rail(lines):
depth = len(lines)
col = len(lines[0])
# depth is the number of rows of the grid
# lines is a tuple where line[i] is the i-th line to print
# col is the number of columns = number of charac... | 27.923077 | 94 | 0.685644 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,548 | 0.473829 |
da858baf0350df7bd476677ebd9b47d2ce1cc39c | 2,736 | py | Python | tools/bin/clearAssignment.py | cpausmit/Tapas | 283016cebc036a703609317aafc28675b1c1ea17 | [
"MIT"
] | null | null | null | tools/bin/clearAssignment.py | cpausmit/Tapas | 283016cebc036a703609317aafc28675b1c1ea17 | [
"MIT"
] | null | null | null | tools/bin/clearAssignment.py | cpausmit/Tapas | 283016cebc036a703609317aafc28675b1c1ea17 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#---------------------------------------------------------------------------------------------------
# Clear an existing assignment in the database using the unique task Id.
#
#---------------------------------------------------------------------------------------------------
import sys,os,re
import M... | 31.813953 | 100 | 0.482822 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,759 | 0.642909 |
da85979a8a85aecc4d586a12af1e63303a1db9ca | 146 | py | Python | qna/admin.py | aryaputra28/covidify-PerancanganWeb | 34d6d0017f44248c172fc58e6e1b138e23e68a95 | [
"Unlicense"
] | null | null | null | qna/admin.py | aryaputra28/covidify-PerancanganWeb | 34d6d0017f44248c172fc58e6e1b138e23e68a95 | [
"Unlicense"
] | null | null | null | qna/admin.py | aryaputra28/covidify-PerancanganWeb | 34d6d0017f44248c172fc58e6e1b138e23e68a95 | [
"Unlicense"
] | null | null | null | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(pertanyaan)
admin.site.register(komentar)
| 24.333333 | 32 | 0.808219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.191781 |
da85a9841500fbd6e450901a3ca02828bbbeb03f | 1,443 | py | Python | selfdrive/can/tests/test_packer_chrysler.py | matthewklinko/openpilot | b0563a59684d0901f99abbb58ac1fbd729ded1f9 | [
"MIT"
] | 4 | 2019-02-12T03:06:31.000Z | 2020-07-17T03:54:46.000Z | selfdrive/can/tests/test_packer_chrysler.py | matthewklinko/openpilot | b0563a59684d0901f99abbb58ac1fbd729ded1f9 | [
"MIT"
] | 3 | 2020-09-08T07:21:59.000Z | 2020-09-08T07:22:07.000Z | selfdrive/can/tests/test_packer_chrysler.py | matthewklinko/openpilot | b0563a59684d0901f99abbb58ac1fbd729ded1f9 | [
"MIT"
] | 4 | 2019-05-21T19:02:46.000Z | 2020-03-24T14:27:45.000Z | import unittest
import random
from selfdrive.can.tests.packer_old import CANPacker as CANPackerOld
from selfdrive.can.packer import CANPacker
import selfdrive.car.chrysler.chryslercan as chryslercan
class TestPackerMethods(unittest.TestCase):
def setUp(self):
self.chrysler_cp_old = CANPackerOld("chrysler_pacif... | 40.083333 | 120 | 0.726265 | 1,193 | 0.82675 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.093555 |
da85c358f54be05780771410e2c91e3ce7581a8d | 9,156 | py | Python | kddg/api/layers.py | Kortemme-Lab/kddg | 9fc09172abbefd4fef49261687c60a9bd9b6b29b | [
"MIT"
] | 2 | 2016-06-14T00:32:02.000Z | 2020-05-04T03:29:46.000Z | kddg/api/layers.py | Kortemme-Lab/kddg | 9fc09172abbefd4fef49261687c60a9bd9b6b29b | [
"MIT"
] | null | null | null | kddg/api/layers.py | Kortemme-Lab/kddg | 9fc09172abbefd4fef49261687c60a9bd9b6b29b | [
"MIT"
] | null | null | null | #!/usr/bin/python2.4
# encoding: utf-8
"""
api_layers.py
The definition of the layers of the database API and the generic user interface class.
Created by Shane O'Connor 2015.
Copyright (c) 2015 __UCSF__. All rights reserved.
"""
import inspect
import functools
from klab import colortext
from kddg.api import settin... | 34.292135 | 257 | 0.662844 | 5,909 | 0.645369 | 0 | 0 | 686 | 0.074924 | 0 | 0 | 1,918 | 0.20948 |
da8712cd2ff361045352f744da703fa2ec6f82df | 3,142 | py | Python | fb_api.py | wing3s/shop_bot | 4c6a34538ac8de9999edae190f6269bc6a63c2cf | [
"BSD-3-Clause"
] | 1 | 2016-04-11T01:18:53.000Z | 2016-04-11T01:18:53.000Z | fb_api.py | wing3s/shop_bot | 4c6a34538ac8de9999edae190f6269bc6a63c2cf | [
"BSD-3-Clause"
] | null | null | null | fb_api.py | wing3s/shop_bot | 4c6a34538ac8de9999edae190f6269bc6a63c2cf | [
"BSD-3-Clause"
] | null | null | null | import os
import requests
import time
import ConfigParser
import logging
import logging.config
from requests.exceptions import RequestException
from helper import get_logger, base_path
config = ConfigParser.ConfigParser()
config.read(os.path.join(base_path, 'config.ini'))
logger = get_logger('fb_api', __file__)
__au... | 34.152174 | 70 | 0.510185 | 2,725 | 0.867282 | 0 | 0 | 0 | 0 | 0 | 0 | 406 | 0.129217 |
da89128d24114037df1325dfa4587c3b0ac3e279 | 6,409 | py | Python | examples/formula_library.py | bherbruck/plend | 55271d79c983cc3b3307661833c5a7dcc11efc32 | [
"MIT"
] | 5 | 2020-02-21T09:22:58.000Z | 2021-09-07T16:39:47.000Z | examples/formula_library.py | bherbruck/plend | 55271d79c983cc3b3307661833c5a7dcc11efc32 | [
"MIT"
] | null | null | null | examples/formula_library.py | bherbruck/plend | 55271d79c983cc3b3307661833c5a7dcc11efc32 | [
"MIT"
] | 1 | 2022-01-26T20:00:47.000Z | 2022-01-26T20:00:47.000Z | """
This example shows how to statically define formulas,
add them to a formula library, optimize them, and
output the results.
"Statically in this context means we are manually
setting the attribures (min and max) for each
ingredient and nutrient rather defining them
dynamically (which is where plend really shines)
... | 60.462264 | 157 | 0.568575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,971 | 0.775628 |
da89cac67e3dd9455f993529126f6ea3e387def3 | 1,278 | py | Python | sstmap/scripts/dtr_to_netcdf.py | ssabrii/SSTMap | f4f3fb72ed632f00b9f519ae9eab4a41b6c69db9 | [
"MIT"
] | 23 | 2017-12-12T17:59:26.000Z | 2022-02-01T20:19:56.000Z | sstmap/scripts/dtr_to_netcdf.py | ssabrii/SSTMap | f4f3fb72ed632f00b9f519ae9eab4a41b6c69db9 | [
"MIT"
] | 45 | 2017-05-03T14:05:19.000Z | 2022-03-02T07:28:39.000Z | sstmap/scripts/dtr_to_netcdf.py | ssabrii/SSTMap | f4f3fb72ed632f00b9f519ae9eab4a41b6c69db9 | [
"MIT"
] | 24 | 2017-04-28T19:49:56.000Z | 2021-11-05T17:57:02.000Z | from argparse import ArgumentParser
import mdtraj as md
def parse_args():
"""Parse the command line arguments and perform some validation on the
arguments
Returns
-------
args : argparse.Namespace
The namespace containing the arguments
"""
parser = ArgumentParser(
descripti... | 29.045455 | 74 | 0.628326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 524 | 0.410016 |
da8aea2d0e2cc438f1e2afe2e6c0015770e13ef8 | 6,106 | py | Python | tpDcc/abstract/scene.py | tpDcc/tpDccLib | a4f77a3fdd981eac494331e429c92bd3e4a87d3b | [
"MIT"
] | 6 | 2021-03-02T00:31:53.000Z | 2021-03-30T09:02:54.000Z | tpDcc/abstract/scene.py | tpDcc/tpDccLib | a4f77a3fdd981eac494331e429c92bd3e4a87d3b | [
"MIT"
] | 1 | 2021-03-02T08:43:34.000Z | 2021-03-04T01:36:02.000Z | tpDcc/abstract/scene.py | tpDcc/tpDccLib | a4f77a3fdd981eac494331e429c92bd3e4a87d3b | [
"MIT"
] | 1 | 2021-03-03T21:01:51.000Z | 2021-03-03T21:01:51.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains DCC scene abstract class implementation
"""
from __future__ import print_function, division, absolute_import
from tpDcc import dcc
from tpDcc.dcc import sceneobject
from tpDcc.libs.python import python, decorators
class AbstractScene(object):
... | 34.891429 | 109 | 0.589912 | 5,814 | 0.952178 | 0 | 0 | 1,070 | 0.175237 | 0 | 0 | 3,494 | 0.572224 |
da8e614ab7b081bdccebe5c0752328dc5769b689 | 11,303 | py | Python | fpga/lib/pcie/tb/test_dma_client_axis_sink_512_64.py | totuwei/corundum | e983ad519fb4523d0ffca32f5e436195bcfc945c | [
"BSD-2-Clause-FreeBSD"
] | 544 | 2019-08-12T03:45:32.000Z | 2022-03-19T14:17:20.000Z | fpga/lib/pcie/tb/test_dma_client_axis_sink_512_64.py | akira2009999/corundum | cdc14769c33186c6d45fcd79b95c70889febff2b | [
"BSD-2-Clause-FreeBSD"
] | 78 | 2020-08-20T20:06:33.000Z | 2022-03-30T23:44:37.000Z | fpga/lib/pcie/tb/test_dma_client_axis_sink_512_64.py | akira2009999/corundum | cdc14769c33186c6d45fcd79b95c70889febff2b | [
"BSD-2-Clause-FreeBSD"
] | 142 | 2019-07-15T04:23:23.000Z | 2022-03-29T01:25:33.000Z | #!/usr/bin/env python
"""
Copyright (c) 2019 Alex Forencich
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merg... | 35.211838 | 166 | 0.657348 | 0 | 0 | 9,784 | 0.865611 | 3,420 | 0.302575 | 0 | 0 | 1,611 | 0.142529 |
da8e6b5d27ab3ab699761ec5dcf3eadc2360c2c0 | 5,713 | py | Python | scrape_votes.py | purrcat259/reddit-vote-grapher | 0a0f1dccee7befc6e94e856d09eb61b546b34644 | [
"MIT"
] | 1 | 2016-05-18T06:30:26.000Z | 2016-05-18T06:30:26.000Z | scrape_votes.py | purrcat259/reddit-vote-grapher | 0a0f1dccee7befc6e94e856d09eb61b546b34644 | [
"MIT"
] | null | null | null | scrape_votes.py | purrcat259/reddit-vote-grapher | 0a0f1dccee7befc6e94e856d09eb61b546b34644 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import time
import os
import csv
import praw
import OAuth2Util
from pprint import pprint
class SubmissionCSV:
def __init__(self, file_name='', csv_directory='data'):
self.file_name = file_name + '.csv'
self.file_path = os.path.join(os.getcwd(), csv_directory, self.file_name)
... | 37.585526 | 114 | 0.593033 | 5,511 | 0.964642 | 0 | 0 | 0 | 0 | 0 | 0 | 1,006 | 0.17609 |
da8e99c09aabca3db1bc0e1af11da10e940286d6 | 2,549 | py | Python | tests/fixtures/dict_list/docket_list_with_homicide.py | SimmonsRitchie/court_docket_scraper | f467d59c4ea8dbddb4fd7545dc36656a4b30e46d | [
"MIT"
] | 1 | 2021-10-29T20:12:44.000Z | 2021-10-29T20:12:44.000Z | tests/fixtures/dict_list/docket_list_with_homicide.py | SimmonsRitchie/court_docket_scraper | f467d59c4ea8dbddb4fd7545dc36656a4b30e46d | [
"MIT"
] | 2 | 2019-07-19T20:13:16.000Z | 2019-07-19T20:13:16.000Z | tests/fixtures/dict_list/docket_list_with_homicide.py | SimmonsRitchie/court_docket_scraper | f467d59c4ea8dbddb4fd7545dc36656a4b30e46d | [
"MIT"
] | null | null | null | docket_list = [
{
"county": "Dauphin",
"docketnum": 1,
"case_caption": "Commonwealth V. Smith, John A.",
"arresting_agency": "Harrisburg PD",
"municipality": "Harrisburg",
"defendant": "John A. Smith",
"defendant_race": "white",
"defendant_gender": "Ma... | 39.828125 | 146 | 0.582581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,812 | 0.710867 |
da9203437dccc2b66c4d623067b94d8a0a97c3de | 3,488 | py | Python | DeleteBook.py | saurabhmaurya45/library-management-system | 2e489728068cca87ed58f493ac2524b6586f66cf | [
"Apache-2.0"
] | null | null | null | DeleteBook.py | saurabhmaurya45/library-management-system | 2e489728068cca87ed58f493ac2524b6586f66cf | [
"Apache-2.0"
] | null | null | null | DeleteBook.py | saurabhmaurya45/library-management-system | 2e489728068cca87ed58f493ac2524b6586f66cf | [
"Apache-2.0"
] | null | null | null | from tkinter import *
import pymysql as ms
from tkinter import messagebox
# Add your own database name and password here to reflect in the code
mypass = "saurabh"
mydatabase = "library"
con = ms.connect(host="localhost", user="root", password=mypass, database=mydatabase)
cur = con.cursor()
# Enter Table... | 35.591837 | 119 | 0.556479 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 852 | 0.244266 |
da920dcd51ae362c5f26a3360b65c16937f31fe7 | 8,474 | py | Python | asdf/extension.py | larrybradley/asdf | b1e0fe6ab7aa319d5939ec2aa78d23822abf6bd4 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | asdf/extension.py | larrybradley/asdf | b1e0fe6ab7aa319d5939ec2aa78d23822abf6bd4 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | asdf/extension.py | larrybradley/asdf | b1e0fe6ab7aa319d5939ec2aa78d23822abf6bd4 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
import os
import abc
import warnings
from pkg_resources import iter_entry_points
import six
import importlib
from . import types
from . import resolver
from .util import get_class_name
from .type_index import AsdfTypeIndex
from .... | 33.362205 | 80 | 0.623554 | 7,887 | 0.930729 | 0 | 0 | 5,023 | 0.592754 | 0 | 0 | 3,798 | 0.448194 |
da923abab5b7e2cb6e8f37c23f2fa4cc9504aff5 | 2,153 | py | Python | source/setup.py | Sylvain-Barde/mic-toolbox | 10d9d930a1a359aaa831f2f917eff357a3d5282e | [
"BSD-3-Clause"
] | 4 | 2019-06-28T20:36:33.000Z | 2022-01-04T21:49:52.000Z | source/setup.py | Sylvain-Barde/mic-toolbox | 10d9d930a1a359aaa831f2f917eff357a3d5282e | [
"BSD-3-Clause"
] | 1 | 2019-06-27T14:52:52.000Z | 2019-07-04T14:14:14.000Z | source/setup.py | Sylvain-Barde/mic-toolbox | 10d9d930a1a359aaa831f2f917eff357a3d5282e | [
"BSD-3-Clause"
] | 1 | 2019-06-27T13:33:42.000Z | 2019-06-27T13:33:42.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 12 14:48:07 2018
@author: sb636
"""
import os
import sys
from setuptools import setup, Extension, find_packages
from distutils.errors import DistutilsModuleError
# Check for cython installation
try:
from Cython.Distutils import b... | 29.902778 | 85 | 0.625639 | 859 | 0.398978 | 0 | 0 | 0 | 0 | 0 | 0 | 518 | 0.240595 |
da92ca41103ff60b1a50e24d1900c7aae0620a32 | 4,049 | py | Python | api-reconstruction/ipython_analysis.py | eurecom-s3/syscall2api | 2f2c72c759b0fd803fe1302c3b6717cda1906916 | [
"MIT"
] | 10 | 2019-09-24T13:36:15.000Z | 2021-11-01T02:40:10.000Z | api-reconstruction/ipython_analysis.py | eurecom-s3/syscall2api | 2f2c72c759b0fd803fe1302c3b6717cda1906916 | [
"MIT"
] | 2 | 2020-10-19T11:51:08.000Z | 2021-04-17T01:08:23.000Z | api-reconstruction/ipython_analysis.py | eurecom-s3/syscall2api | 2f2c72c759b0fd803fe1302c3b6717cda1906916 | [
"MIT"
] | null | null | null | #!/usr/local/bin/ipython3 -i
import sys
from analysis import *
import analysis.classes as classes
import nwalign as nw
kb = {}
apis = {}
syscalls = {}
regexes = {}
models = {}
models2 = {}
kb_file = 'kb_no_empties.pickle'
regex_file = 'new_regex.pickle'
models_file = 'models.pickle'
models2_file = 'models2.pickle'
... | 28.716312 | 79 | 0.678686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 887 | 0.219066 |
da92e435dd529ef7c6adb64e5afe197974724936 | 660 | py | Python | tests/client/test_spread_sheet.py | shin-hama/git-svn-monitor | acb793c2da63d6802efa8e0e6c99482f4fad0f80 | [
"MIT"
] | null | null | null | tests/client/test_spread_sheet.py | shin-hama/git-svn-monitor | acb793c2da63d6802efa8e0e6c99482f4fad0f80 | [
"MIT"
] | 36 | 2021-07-12T00:08:03.000Z | 2022-03-25T11:19:39.000Z | tests/client/test_spread_sheet.py | shin-hama/git-svn-monitor | acb793c2da63d6802efa8e0e6c99482f4fad0f80 | [
"MIT"
] | null | null | null | from datetime import datetime
from git_svn_monitor.client import spread_seat
from git_svn_monitor.core.config import TIMESTAMP_FORMAT
def test__convert_datetime_to_str() -> None:
timestamp = "2021-01-01 12:34:56"
_timestamp = datetime.strptime(timestamp, TIMESTAMP_FORMAT)
converted = spread_seat._convert... | 27.5 | 63 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0.057576 |
16f0b6155221bd21f39e5a25133a8324a5286c72 | 3,785 | py | Python | accessdata/api/extensions.py | AccessDataOps/FTK-API-SDK | 34e689a55eadacc51e6ff585e9126799f80e269a | [
"MIT"
] | 2 | 2021-12-10T10:20:08.000Z | 2022-01-06T11:15:43.000Z | accessdata/api/extensions.py | AccessDataOps/FTK-API-SDK | 34e689a55eadacc51e6ff585e9126799f80e269a | [
"MIT"
] | null | null | null | accessdata/api/extensions.py | AccessDataOps/FTK-API-SDK | 34e689a55eadacc51e6ff585e9126799f80e269a | [
"MIT"
] | null | null | null | ## /api/extensions.py
"""
Maintains the API endpoint URI extensions.
"""
## Declaring __all__
__all__ = (
"status_check_ext",
"site_server_status_check_ext",
"case_create_ext",
"case_list_ext",
"case_create_portable_ext",
"evidence_list_ext",
"evidence_processed_list_ext",
"evidence_process_ext",
"object_pa... | 33.495575 | 97 | 0.763804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,191 | 0.578864 |
16f0f93ca79ae51931ef205e9c059a600e80445c | 1,982 | py | Python | evaluators/dialog/state/distinct.py | kaniblu/vhda | 35941097ef552568c29f66cc55d8ce1927f34978 | [
"MIT"
] | 3 | 2021-01-12T05:43:20.000Z | 2021-03-05T17:03:06.000Z | evaluators/dialog/state/distinct.py | kaniblu/vhda | 35941097ef552568c29f66cc55d8ce1927f34978 | [
"MIT"
] | null | null | null | evaluators/dialog/state/distinct.py | kaniblu/vhda | 35941097ef552568c29f66cc55d8ce1927f34978 | [
"MIT"
] | null | null | null | __all__ = ["DistinctStateEvaluator"]
from dataclasses import dataclass
from typing import Sequence, Optional
import torch
import utils
from utils import TensorMap
from datasets import VocabSet
from ...evaluator import DialogEvaluator
@dataclass
class DistinctStateEvaluator(DialogEvaluator):
vocabs: VocabSet
... | 33.59322 | 79 | 0.584258 | 1,731 | 0.87336 | 0 | 0 | 1,742 | 0.87891 | 0 | 0 | 69 | 0.034813 |
16f2f95568be402c343f83e95bd816466c4a6dd1 | 1,788 | py | Python | src/dataset/manually_labeled_bases.py | yullidias/AutomaticIronyDetection | 3297ddc4ecc97e840b00df4ba4f9e6b8e710fdb9 | [
"MIT"
] | null | null | null | src/dataset/manually_labeled_bases.py | yullidias/AutomaticIronyDetection | 3297ddc4ecc97e840b00df4ba4f9e6b8e710fdb9 | [
"MIT"
] | 1 | 2020-12-05T14:22:03.000Z | 2020-12-05T14:22:03.000Z | src/dataset/manually_labeled_bases.py | yullidias/AutomaticIronyDetection | 3297ddc4ecc97e840b00df4ba4f9e6b8e710fdb9 | [
"MIT"
] | null | null | null | import src.utils.constants as cns
from src.utils.files import write_list
import pandas as pd
import glob
import os
def read_sheets():
manually_labeled_df = pd.DataFrame()
for sheet in glob.glob(cns.PATH_LABELED + '*'):
manually_labeled_df = manually_labeled_df.append(
pd.read_excel(sh... | 26.294118 | 77 | 0.644295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 308 | 0.171971 |
16f3b2b6831a8b521ba1a14a11fa6b224ec5222f | 1,785 | py | Python | cryptotest.py | xebia/django-DefectDojo | 7bc6695bd8fb93e23b0d8ed8326f5d01283eadaa | [
"BSD-3-Clause"
] | null | null | null | cryptotest.py | xebia/django-DefectDojo | 7bc6695bd8fb93e23b0d8ed8326f5d01283eadaa | [
"BSD-3-Clause"
] | null | null | null | cryptotest.py | xebia/django-DefectDojo | 7bc6695bd8fb93e23b0d8ed8326f5d01283eadaa | [
"BSD-3-Clause"
] | 1 | 2017-09-22T20:39:39.000Z | 2017-09-22T20:39:39.000Z | import binascii, os
from Crypto.Cipher import AES
KEY = 'a0b8c7398c9363b3216ff1d001a1308e5f96a77dbf6bda2367f87519d80995fb'
IV = os.urandom(16)
def encrypt(key, iv, plaintext):
aes = AES.new(key, AES.MODE_CBC, iv, segment_size=128)
plaintext = _pad_string(plaintext)
encrypted_text = aes.encrypt(plaintext)... | 31.875 | 101 | 0.729412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 0.112045 |
16f4d90e8a8de6335b4d40090aa8cb9b83b7e850 | 871 | py | Python | Larry/preprocess.py | NCBI-Hackathons/ClusterDuck | 1d5478500dffea973f96affd969783278193aa8a | [
"MIT"
] | 7 | 2019-02-19T15:10:24.000Z | 2020-05-31T00:41:13.000Z | Larry/preprocess.py | NCBI-Hackathons/ClusterDuck | 1d5478500dffea973f96affd969783278193aa8a | [
"MIT"
] | 11 | 2018-03-21T20:01:32.000Z | 2022-03-11T23:19:40.000Z | Larry/preprocess.py | NCBI-Hackathons/DiseaseClusters | 1d5478500dffea973f96affd969783278193aa8a | [
"MIT"
] | 3 | 2018-03-19T13:14:23.000Z | 2018-03-20T14:13:38.000Z | from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
from nltk.stem import WordNetLemmatizer
STOPWORDS = set(stopwords.words('english'))
# Instantiate Lemmanizer
WNL = WordNetLemmatizer()
def preprocess(abstract, keywords=None):
"""
Convert an abstract to word tokens. This is done by... | 26.393939 | 77 | 0.6969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 415 | 0.476464 |
16f520db46f1b8b8a53e17ff7a93ac14fed25f00 | 16,848 | py | Python | Codes/env.py | zongdaoming/Reinforcement-Learning | 426b646b1184e96d8a0f6c6341e53b13ef89ea12 | [
"Apache-2.0"
] | 1 | 2021-04-20T13:49:55.000Z | 2021-04-20T13:49:55.000Z | Codes/env.py | zongdaoming/Reinforcement-Learning | 426b646b1184e96d8a0f6c6341e53b13ef89ea12 | [
"Apache-2.0"
] | 1 | 2021-04-18T18:27:49.000Z | 2021-04-18T18:27:49.000Z | Codes/env.py | zongdaoming/Reinforcement-Learning | 426b646b1184e96d8a0f6c6341e53b13ef89ea12 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @author : naive dormin
# @time : 2021/04/19 02:17:43
# @version : 1.0.0
import os
import time
import numpy as np
import random
from utils import *
import pickle
from ConvE import ConvE_double
import torch
import torch.autograd as autograd
import torch.nn as ... | 42.014963 | 107 | 0.553063 | 16,187 | 0.960425 | 0 | 0 | 0 | 0 | 0 | 0 | 3,375 | 0.200249 |
16f718d511a624ff6bafcf060c184c7b35cb49f0 | 2,608 | py | Python | txrtpengine/NGCPProxy.py | braams/txrtpengine | 5511cf79d7fc338b28d927c19e5ff3b88e66a5be | [
"MIT"
] | null | null | null | txrtpengine/NGCPProxy.py | braams/txrtpengine | 5511cf79d7fc338b28d927c19e5ff3b88e66a5be | [
"MIT"
] | null | null | null | txrtpengine/NGCPProxy.py | braams/txrtpengine | 5511cf79d7fc338b28d927c19e5ff3b88e66a5be | [
"MIT"
] | null | null | null | import json
from twisted.internet import reactor
from twisted.python import log
from twisted.web.resource import Resource
from twisted.web.server import NOT_DONE_YET
from twisted.web.server import Site
from txrtpengine.NGCP import NGCPClient
class NGCPProxy(Resource):
def __init__(self, addr):
self.c =... | 33.435897 | 107 | 0.625383 | 1,914 | 0.733896 | 0 | 0 | 0 | 0 | 0 | 0 | 533 | 0.204371 |
16f73a2d16ee1a1b4874c0d6207d250cd9f1609d | 6,980 | py | Python | ise_session_gui.py | ComtecSystem-dev/ise_session | 299bf47b7584094c7722a27a5cbec704e8acc084 | [
"Apache-2.0"
] | null | null | null | ise_session_gui.py | ComtecSystem-dev/ise_session | 299bf47b7584094c7722a27a5cbec704e8acc084 | [
"Apache-2.0"
] | null | null | null | ise_session_gui.py | ComtecSystem-dev/ise_session | 299bf47b7584094c7722a27a5cbec704e8acc084 | [
"Apache-2.0"
] | null | null | null | import sys
import requests
import xmltodict
from functools import partial
from PyQt5.QtWidgets import *
from PyQt5.QtCore import Qt
from PyQt5 import uic
#Link : Qt5 UI File
# - condition : The UI file should be located in the sam directory as the this file
form_class = uic.loadUiType("./ise_session.ui")... | 41.058824 | 109 | 0.570487 | 6,365 | 0.911369 | 0 | 0 | 0 | 0 | 0 | 0 | 1,313 | 0.188001 |
16fa4d94e2d23cb6b84df2ab54d37fba71a56141 | 1,597 | py | Python | examples/zegar.py | BrownEmmett/8digit | aa9ab5e6673ec0fa3764510bd845a94ac37c4c1e | [
"MIT"
] | null | null | null | examples/zegar.py | BrownEmmett/8digit | aa9ab5e6673ec0fa3764510bd845a94ac37c4c1e | [
"MIT"
] | null | null | null | examples/zegar.py | BrownEmmett/8digit | aa9ab5e6673ec0fa3764510bd845a94ac37c4c1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2017-18 Richard Hull and contributors
# See LICENSE.rst for details.
"""
Example for seven segment displays.
"""
import time
from datetime import datetime
from luma.led_matrix.device import max7219
from luma.core.interface.serial import spi, noop
from lum... | 22.492958 | 55 | 0.612398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 0.262993 |
16fa7014b2509e362e1a19500f13adaa6c41db09 | 1,109 | py | Python | caption_generation/sub_json.py | Collapsar-G/clevr-dataset-gen | a09b0559b53891bf4f4771190e4ad361406c67fe | [
"BSD-3-Clause"
] | 1 | 2021-05-23T13:48:59.000Z | 2021-05-23T13:48:59.000Z | caption_generation/sub_json.py | Collapsar-G/clevr-dataset-gen | a09b0559b53891bf4f4771190e4ad361406c67fe | [
"BSD-3-Clause"
] | null | null | null | caption_generation/sub_json.py | Collapsar-G/clevr-dataset-gen | a09b0559b53891bf4f4771190e4ad361406c67fe | [
"BSD-3-Clause"
] | null | null | null | import argparse
import json
import os
import ijson
parser = argparse.ArgumentParser()
# /questions/CLEVR_test_questions.json
# Inputs
parser.add_argument('--all_scene_paths', default='../data/CLEVR_v1.0/scenes',
help="JSON file containing questions information for all images " +
... | 34.65625 | 103 | 0.627592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 443 | 0.399459 |
16fd36971459752eacaa3008f88c6855b286e881 | 1,439 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/tests/factories.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/tests/factories.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/tests/factories.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | """ Factories for generating fake commerce-related data. """
import factory
from factory.fuzzy import FuzzyText
class OrderFactory(factory.Factory):
""" Factory for stubbing orders resources from Ecommerce (v2). """
class Meta:
model = dict
number = factory.Sequence(lambda n: 'edx-%d' % n)
... | 24.810345 | 75 | 0.645587 | 1,313 | 0.912439 | 0 | 0 | 0 | 0 | 0 | 0 | 522 | 0.362752 |
16fee0714125b907c565a7460bda1a63c75c9808 | 3,682 | py | Python | boundlexx/boundless/migrations/0002_create_item_timeseries.py | AngellusMortis/boundlexx | 407f5e38e8e0f067cbcb358787fc9af6a9be9b2a | [
"MIT"
] | 1 | 2021-04-23T11:49:50.000Z | 2021-04-23T11:49:50.000Z | boundlexx/boundless/migrations/0002_create_item_timeseries.py | AngellusMortis/boundlexx | 407f5e38e8e0f067cbcb358787fc9af6a9be9b2a | [
"MIT"
] | 1 | 2021-04-17T18:17:12.000Z | 2021-04-17T18:17:12.000Z | boundlexx/boundless/migrations/0002_create_item_timeseries.py | AngellusMortis/boundlexx | 407f5e38e8e0f067cbcb358787fc9af6a9be9b2a | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-07-21 17:44
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('boundless', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='ItemShopStandPrice'... | 51.138889 | 209 | 0.605921 | 3,556 | 0.965779 | 0 | 0 | 0 | 0 | 0 | 0 | 1,172 | 0.318305 |
e50054bcfcc58e68ad2fe236a5c12539ae5190f0 | 39,700 | py | Python | det3d/models/bbox_heads/clear_mg_ohs_head.py | Lelin-HUNUST/VISTA | 7bf34132d719cb0e5e803b92cd15451df58a9a5d | [
"MIT"
] | 47 | 2022-03-21T02:41:39.000Z | 2022-03-30T17:25:29.000Z | det3d/models/bbox_heads/clear_mg_ohs_head.py | Lelin-HUNUST/VISTA | 7bf34132d719cb0e5e803b92cd15451df58a9a5d | [
"MIT"
] | 1 | 2022-03-28T15:11:26.000Z | 2022-03-28T16:27:40.000Z | det3d/models/bbox_heads/clear_mg_ohs_head.py | Lelin-HUNUST/VISTA | 7bf34132d719cb0e5e803b92cd15451df58a9a5d | [
"MIT"
] | 2 | 2022-03-23T12:56:14.000Z | 2022-03-27T14:25:50.000Z | # Copyright (c) Gorilla-Lab. All rights reserved.
import logging
from functools import partial
from collections import defaultdict
from typing import Dict, List, Optional, Sequence
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..losses.ohs_loss_clear import OHSLossClear
fr... | 46.541618 | 133 | 0.540227 | 38,106 | 0.959849 | 0 | 0 | 38,152 | 0.961008 | 0 | 0 | 5,447 | 0.137204 |
e501d8d323b13656dcc8aa99310855c82f2554fb | 4,267 | py | Python | run_full_dataset.py | TimoK93/ApLift | 732070175ab6bf76db5b0c793cdb4a1fb5d235d7 | [
"MIT"
] | 4 | 2021-09-23T17:44:01.000Z | 2022-01-10T07:14:25.000Z | run_full_dataset.py | TimoK93/ApLift | 732070175ab6bf76db5b0c793cdb4a1fb5d235d7 | [
"MIT"
] | 1 | 2021-10-18T07:41:31.000Z | 2021-10-18T07:41:31.000Z | run_full_dataset.py | TimoK93/ApLift | 732070175ab6bf76db5b0c793cdb4a1fb5d235d7 | [
"MIT"
] | null | null | null | """
A script to run the main script with all sequences of a dataset.
To use the script a config.yaml needs to be specified.
Example usage:
python3 main.py config/example_config.yaml
if "pretrained_model_path" is passed as an argument in the config, training is skipped and pretrained models are used
for the infer... | 40.638095 | 117 | 0.588704 | 0 | 0 | 0 | 0 | 3,280 | 0.76869 | 0 | 0 | 1,328 | 0.311226 |
e5033a61e857baa0aed9b97b41edbcf668557962 | 298 | py | Python | _Training_/RegEx - HackerRank/2. Character Class/Excluding Specific Characters.py | JUD210/Study-Note | 2add9db3f11d99370f49878f0c19e9caa60d2d02 | [
"MIT"
] | null | null | null | _Training_/RegEx - HackerRank/2. Character Class/Excluding Specific Characters.py | JUD210/Study-Note | 2add9db3f11d99370f49878f0c19e9caa60d2d02 | [
"MIT"
] | null | null | null | _Training_/RegEx - HackerRank/2. Character Class/Excluding Specific Characters.py | JUD210/Study-Note | 2add9db3f11d99370f49878f0c19e9caa60d2d02 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/excluding-specific-characters/problem
import re
# Inputs
standard_input = """think?"""
Regex_Pattern = (
r"^[^\d][^aeiou][^bcDF][^\r\n\t\f\s][^AEIOU][^.,]$"
) # Do not delete 'r'.
print(str(bool(re.search(Regex_Pattern, input()))).lower())
# true
| 18.625 | 77 | 0.64094 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 174 | 0.583893 |
e503d96de70079ddac429727f7983b8a0fcdef59 | 354 | py | Python | toroid/toroid/pairs.py | LeoTindall/corewar32 | c29891ca67c01dd65d01d120364a010eb12eb255 | [
"Apache-2.0"
] | null | null | null | toroid/toroid/pairs.py | LeoTindall/corewar32 | c29891ca67c01dd65d01d120364a010eb12eb255 | [
"Apache-2.0"
] | 1 | 2016-08-06T23:20:56.000Z | 2016-08-06T23:20:56.000Z | toroid/toroid/pairs.py | SilverWingedSeraph/corewar32 | c29891ca67c01dd65d01d120364a010eb12eb255 | [
"Apache-2.0"
] | null | null | null | def make_pairings(warriors):
if len(warriors) == 0:
return False, False
pairings = []
for (warrior1, warrior2) in zip(warriors[0::2], warriors[1::2]):
pairings.append((warrior1, warrior2))
if len(warriors) % 2 == 0:
odd_one_out = False
else:
odd_one_out = warriors[-1]... | 29.5 | 68 | 0.610169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e503f5404abfe29fbefb2c59950b6c8386b55b14 | 5,814 | py | Python | Nets/TRNetShared.py | AndresOtero/TensorDecompositionMachineLearning | 455f16b405ec9d031999b0ebf9c5a68d3c20b233 | [
"MIT"
] | 3 | 2021-06-11T02:46:06.000Z | 2021-08-17T02:59:30.000Z | Nets/TRNetShared.py | AndresOtero/TensorDecompositionMachineLearning | 455f16b405ec9d031999b0ebf9c5a68d3c20b233 | [
"MIT"
] | null | null | null | Nets/TRNetShared.py | AndresOtero/TensorDecompositionMachineLearning | 455f16b405ec9d031999b0ebf9c5a68d3c20b233 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from Nets.TRNetSerialized import TRNetSerialized
from Nets.TTNetParallel import FirstKernelTensorTrain, FeatureMap, TTKernel
from Nets.TTNetShared import KernelSharedTensorTrain
from Utils import Constant
from Utils.RanksFactory import RanksFactory
fr... | 43.066667 | 116 | 0.673891 | 5,408 | 0.930169 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.024424 |
e504a4528ab13dc7037b0bc87eb63a2bf6c3d4cb | 2,550 | py | Python | tests/test_deny_mime_type_validator.py | fastmonkeys/pontus | 6542190aae896cd79c55f7f43e98a6bf3cbc613b | [
"MIT"
] | 4 | 2017-04-24T10:17:28.000Z | 2020-05-28T06:25:03.000Z | tests/test_deny_mime_type_validator.py | fastmonkeys/pontus | 6542190aae896cd79c55f7f43e98a6bf3cbc613b | [
"MIT"
] | 9 | 2015-02-23T14:27:37.000Z | 2021-02-24T13:23:41.000Z | tests/test_deny_mime_type_validator.py | fastmonkeys/pontus | 6542190aae896cd79c55f7f43e98a6bf3cbc613b | [
"MIT"
] | 1 | 2017-08-14T16:40:44.000Z | 2017-08-14T16:40:44.000Z | # -*- coding: utf-8 -*-
import os
import pytest
import boto3
from pontus.exceptions import ValidationError
from pontus.validators import DenyMimeType
class TestDenyMimeTypeValidator(object):
@pytest.fixture
def jpeg_key(self, bucket):
with open(os.path.join(
os.path.dirname(__file__),
... | 29.310345 | 78 | 0.608627 | 2,395 | 0.939216 | 0 | 0 | 382 | 0.149804 | 0 | 0 | 471 | 0.184706 |
e5052a97fcc4c82072c34cd78471734f05a4fd9c | 1,339 | py | Python | proyecto utilizando pewee migrations/models.py | Raul-Flores/ORM-example | ff289f74f858514cebefe7070c3688ad773a0e2a | [
"MIT"
] | null | null | null | proyecto utilizando pewee migrations/models.py | Raul-Flores/ORM-example | ff289f74f858514cebefe7070c3688ad773a0e2a | [
"MIT"
] | null | null | null | proyecto utilizando pewee migrations/models.py | Raul-Flores/ORM-example | ff289f74f858514cebefe7070c3688ad773a0e2a | [
"MIT"
] | null | null | null |
import pymysql
import sqlite3
import psycopg2
from peewee import *
db = "postgres"
class BaseModel(Model):
class Meta:
global db
secretvar= "Secret"
while True:
try:
#db = input("BD Options: [mariadb|postgres|sqlite] :")
db_migration = db
... | 33.475 | 117 | 0.570575 | 1,253 | 0.935773 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.179238 |
e50744ae0a91afd75f5121562b3f88c9fadcfea8 | 1,966 | py | Python | MyModel/signLanguageTranslator.py | rahulmishra11/Sign-Language-Translator | 83b6907f722324d01142ab25e9e9cf806c51b0d3 | [
"Apache-2.0"
] | null | null | null | MyModel/signLanguageTranslator.py | rahulmishra11/Sign-Language-Translator | 83b6907f722324d01142ab25e9e9cf806c51b0d3 | [
"Apache-2.0"
] | null | null | null | MyModel/signLanguageTranslator.py | rahulmishra11/Sign-Language-Translator | 83b6907f722324d01142ab25e9e9cf806c51b0d3 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import pandas as pd
import numpy as np
import tensorflow.keras as keras
train = pd.read_csv("./sign_mnist_train/sign_mnist_train.csv")
test = pd.read_csv("./sign_mnist_test/sign_mnist_test.csv")
# put labels into y_train variable
Y_train = train["label"]
# Drop 'label' column
X_train = train.... | 29.787879 | 87 | 0.715158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 0.228891 |
e507533d51e8ae8cde7f283f5c299ebd345bec98 | 5,817 | py | Python | gammapy/detect/tests/test_kernel.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | 3 | 2019-01-28T12:21:14.000Z | 2019-02-10T19:58:07.000Z | gammapy/detect/tests/test_kernel.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | gammapy/detect/tests/test_kernel.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from numpy.testing import assert_allclose
from astropy.io import fits
from astropy.units import Quantity
from astropy.coordinates.angles import Angle
from... | 36.130435 | 97 | 0.677153 | 4,269 | 0.733883 | 0 | 0 | 5,245 | 0.901668 | 0 | 0 | 1,468 | 0.252364 |
e508b0cb043508fe01e3e1d06e6baa67a2130ba3 | 4,772 | py | Python | morsesmale.py | scotthellman/discrete-topology | 6182fe607868d88c462c185be8629a35ad2d7c37 | [
"MIT"
] | null | null | null | morsesmale.py | scotthellman/discrete-topology | 6182fe607868d88c462c185be8629a35ad2d7c37 | [
"MIT"
] | null | null | null | morsesmale.py | scotthellman/discrete-topology | 6182fe607868d88c462c185be8629a35ad2d7c37 | [
"MIT"
] | null | null | null | import networkx as nx
import numpy as np
import scipy
import graph
import itertools
from collections import defaultdict
def calculate_persistence(crystal, other, minimum_value, G, function_vals):
minimums = []
min_vertices = []
other = set(other)
for vertex in crystal:
neighbors = set(G.neighbo... | 34.832117 | 91 | 0.615884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0.033515 |
e508ffc9689183a1879c3556805bdcd71560a700 | 4,390 | py | Python | Packs/ZeroTrustAnalyticsPlatform/Integrations/ZeroTrustAnalyticsPlatform/test_data/xsoar_data.py | mazmat-panw/content | 024a65c1dea2548e2637a9cbbe54966e9e34a722 | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/ZeroTrustAnalyticsPlatform/Integrations/ZeroTrustAnalyticsPlatform/test_data/xsoar_data.py | mazmat-panw/content | 024a65c1dea2548e2637a9cbbe54966e9e34a722 | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/ZeroTrustAnalyticsPlatform/Integrations/ZeroTrustAnalyticsPlatform/test_data/xsoar_data.py | henry-sue-pa/content | 043c6badfb4f9c80673cad9242fdea72efe301f7 | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | def event_response():
return [
{
"ata_event_count": 1,
"datetime_created": "2021-05-11T20:11:30Z",
"fields": [
{
"key": "auto_run",
"label": "Auto Run",
"value": "False",
"orde... | 32.043796 | 107 | 0.479499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,194 | 0.499772 |
e5090e4da04384e2fbcd5b4f114deb2087c6f5f4 | 288 | py | Python | postgres/scripts/test-db-connection.py | tcalmant/ldbc_snb_interactive | baf4a8150ffd0b193ba2c6d1dc7cdc3a99edeedf | [
"Apache-2.0"
] | null | null | null | postgres/scripts/test-db-connection.py | tcalmant/ldbc_snb_interactive | baf4a8150ffd0b193ba2c6d1dc7cdc3a99edeedf | [
"Apache-2.0"
] | null | null | null | postgres/scripts/test-db-connection.py | tcalmant/ldbc_snb_interactive | baf4a8150ffd0b193ba2c6d1dc7cdc3a99edeedf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import os
import psycopg2
con = psycopg2.connect(
host="localhost",
user=os.environ.get("POSTGRES_USER", "postgres"),
password=os.environ.get("POSTGRES_PASSWORD", "mysecretpassword"),
port=int(os.environ.get("POSTGRES_PORT", 5432)),
)
con.close()
| 22.153846 | 69 | 0.704861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.381944 |
e50969a938fad964949586d116b12c2990a0ae87 | 2,054 | py | Python | pyxll_jupyter/widget.py | TanKingsley/pyxll-jupyter | 4f7b3eb361079b74683d89340dfff9576fb2ff41 | [
"MIT"
] | 1 | 2020-12-28T10:40:38.000Z | 2020-12-28T10:40:38.000Z | pyxll_jupyter/widget.py | TanKingsley/pyxll-jupyter | 4f7b3eb361079b74683d89340dfff9576fb2ff41 | [
"MIT"
] | null | null | null | pyxll_jupyter/widget.py | TanKingsley/pyxll-jupyter | 4f7b3eb361079b74683d89340dfff9576fb2ff41 | [
"MIT"
] | null | null | null | """
JupyterQtWidget is the widget that gets embedded in Excel and hosts
a tabbed browser widget containing the Jupyter notebook.
"""
from .kernel import start_kernel, launch_jupyter
from .browser import Browser
from .qtimports import QWidget, QVBoxLayout
import subprocess
import ctypes
class JupyterQtWidget(QWidget):... | 36.678571 | 95 | 0.619279 | 1,764 | 0.858812 | 0 | 0 | 0 | 0 | 0 | 0 | 497 | 0.241967 |
e50c65e44676b2b7cbe06fd4c5deb5f102a8415d | 621 | py | Python | py/A Rule Of Divisibility By 13.py | aadithpm/code-a-day | 18d7c1847e14d32d33d09d29f8847b6252c6e9e6 | [
"Unlicense"
] | 3 | 2018-03-16T14:52:40.000Z | 2020-12-04T10:12:07.000Z | py/A Rule Of Divisibility By 13.py | aadithpm/code-a-day | 18d7c1847e14d32d33d09d29f8847b6252c6e9e6 | [
"Unlicense"
] | null | null | null | py/A Rule Of Divisibility By 13.py | aadithpm/code-a-day | 18d7c1847e14d32d33d09d29f8847b6252c6e9e6 | [
"Unlicense"
] | 5 | 2017-06-30T05:35:00.000Z | 2019-07-13T08:05:30.000Z | """
https://www.codewars.com/kata/564057bc348c7200bd0000ff/train/python
"""
def thirt(n):
seq = [1,10,9,12,3,4]
n = list(int(i) for i in reversed(str(n)))
if len(seq) < len(n):
compute1 = [i for i in seq[0:len(n)-len(seq)]]
seq.extend(compute1)
compute1 = sum(i * j for i,j in zip(n,seq))... | 34.5 | 67 | 0.602254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.120773 |
e50ca21b180f2193d02c55bbba259bcd1c32234b | 5,292 | py | Python | lonely/system.py | LonelyPale/lonely | 328d0ef12b98a6d208ef8cf75e69f0cc421a0b2b | [
"Apache-2.0"
] | null | null | null | lonely/system.py | LonelyPale/lonely | 328d0ef12b98a6d208ef8cf75e69f0cc421a0b2b | [
"Apache-2.0"
] | null | null | null | lonely/system.py | LonelyPale/lonely | 328d0ef12b98a6d208ef8cf75e69f0cc421a0b2b | [
"Apache-2.0"
] | null | null | null | import os as _os
import platform
from lonely.cmd import command
def lsb_release():
ret = command("cat /etc/openEuler-release", capture_output=True, print_out=False, print_err=False)
if ret.returncode == 0:
#print("success:", ret)
if ret.stdout.lower().find("openeuler") > -1:
return... | 28.76087 | 104 | 0.493386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 617 | 0.114769 |
e50e8e3032d7d7837365ea7b6780cf4d9b0c82b7 | 5,722 | py | Python | entityfactssheetsharvester/entityfactssheetsharvester.py | zazi/entityfactssheetsharvester | 150e702a763d73356adba112c0e1c1141df4884c | [
"Apache-2.0"
] | 1 | 2019-08-13T07:44:32.000Z | 2019-08-13T07:44:32.000Z | entityfactssheetsharvester/entityfactssheetsharvester.py | zazi/entityfactssheetsharvester | 150e702a763d73356adba112c0e1c1141df4884c | [
"Apache-2.0"
] | null | null | null | entityfactssheetsharvester/entityfactssheetsharvester.py | zazi/entityfactssheetsharvester | 150e702a763d73356adba112c0e1c1141df4884c | [
"Apache-2.0"
] | 1 | 2019-08-13T07:44:32.000Z | 2019-08-13T07:44:32.000Z | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
import os
import socket
import sys
import requests
from threading import current_thread
from rx import create, of
from rx import operators as op
from rx.scheduler import ThreadPoolScheduler
USER_AGENT_HTTP_HEADER_KEY = 'user-agent'
USER_AGENT_PAT... | 41.463768 | 178 | 0.67791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 0.180007 |
e50f03b5ad643f99fc6faba88c3fc2cee5a3768e | 473 | py | Python | mayan/apps/quotas/icons.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 2 | 2021-09-12T19:41:19.000Z | 2021-09-12T19:41:20.000Z | mayan/apps/quotas/icons.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 37 | 2021-09-13T01:00:12.000Z | 2021-10-02T03:54:30.000Z | mayan/apps/quotas/icons.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 1 | 2021-09-22T13:17:30.000Z | 2021-09-22T13:17:30.000Z | from mayan.apps.appearance.classes import Icon
icon_quota_create = Icon(
driver_name='fontawesome-dual', primary_symbol='tachometer-alt',
secondary_symbol='plus'
)
icon_quota_delete = Icon(driver_name='fontawesome', symbol='times')
icon_quota_edit = Icon(driver_name='fontawesome', symbol='pencil-alt')
... | 43 | 76 | 0.77167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.302326 |
e51032e8f05343cce31308455d21b22aca3ea53e | 5,086 | py | Python | pyner/util/optimizer.py | chantera/pyner | 6de19713871e923c997495c07e2ec249bded8671 | [
"MIT"
] | 1 | 2019-06-16T00:52:26.000Z | 2019-06-16T00:52:26.000Z | pyner/util/optimizer.py | chantera/pyner | 6de19713871e923c997495c07e2ec249bded8671 | [
"MIT"
] | null | null | null | pyner/util/optimizer.py | chantera/pyner | 6de19713871e923c997495c07e2ec249bded8671 | [
"MIT"
] | null | null | null | from chainer import optimizer_hooks
from chainer import optimizers
from chainer import training
import numpy
import logging
logger = logging.getLogger(__name__)
def create_optimizer(configs):
"""
:param optimizer_config: dict, 学習のパラメータを含む辞書
"""
if 'optimizer' not in configs:
raise Exception... | 33.682119 | 83 | 0.621707 | 2,709 | 0.528276 | 0 | 0 | 0 | 0 | 0 | 0 | 1,728 | 0.336973 |
e510c7426f5e3c38449cb80f147daf9524ba1a19 | 4,553 | py | Python | 5th_pipeline.py | Jose-Oton/airflow_project | 1b65a83975be63ad15cab95ad2947f6526400368 | [
"Apache-2.0"
] | 1 | 2021-07-08T12:29:34.000Z | 2021-07-08T12:29:34.000Z | 5th_pipeline.py | Jose-Oton/airflow_project | 1b65a83975be63ad15cab95ad2947f6526400368 | [
"Apache-2.0"
] | null | null | null | 5th_pipeline.py | Jose-Oton/airflow_project | 1b65a83975be63ad15cab95ad2947f6526400368 | [
"Apache-2.0"
] | null | null | null | #1. Documentación de un DAG
"""
## PYSPARK DAG
Este pipeline toma data de Covid compartida de forma pública por Google y calcula unos KPIs.
"""
from airflow import DAG
from datetime import timedelta, datetime
from airflow.utils.dates import days_ago
from airflow.models import Variable
from airflow.operat... | 34.755725 | 123 | 0.656929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,137 | 0.468743 |
e510db97dd6ed101594891f1033e5947097f3261 | 127 | py | Python | muve/sumo_server/__init__.py | muve-traffic/sumo-server | 0a857ba9555569db1c118367668a507600c12cdf | [
"MIT"
] | null | null | null | muve/sumo_server/__init__.py | muve-traffic/sumo-server | 0a857ba9555569db1c118367668a507600c12cdf | [
"MIT"
] | null | null | null | muve/sumo_server/__init__.py | muve-traffic/sumo-server | 0a857ba9555569db1c118367668a507600c12cdf | [
"MIT"
] | null | null | null | """Muve Traffic SUMO server.
Server for simulating traffic and relaying traffic information programatically through SUMO.
"""
| 25.4 | 92 | 0.80315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.992126 |
e5115a401bd8efaf8cc688760dfac54cb7c36ec4 | 2,613 | py | Python | tests/unit/sagemaker/cli/compatibility/v2/modifiers/test_shuffle_config.py | LastRemote/sagemaker-python-sdk | fddf29d9e4383cd3f939253eef47ee79a464dd37 | [
"Apache-2.0"
] | 1,690 | 2017-11-29T20:13:37.000Z | 2022-03-31T12:58:11.000Z | tests/unit/sagemaker/cli/compatibility/v2/modifiers/test_shuffle_config.py | LastRemote/sagemaker-python-sdk | fddf29d9e4383cd3f939253eef47ee79a464dd37 | [
"Apache-2.0"
] | 2,762 | 2017-12-04T05:18:03.000Z | 2022-03-31T23:40:11.000Z | tests/unit/sagemaker/cli/compatibility/v2/modifiers/test_shuffle_config.py | LastRemote/sagemaker-python-sdk | fddf29d9e4383cd3f939253eef47ee79a464dd37 | [
"Apache-2.0"
] | 961 | 2017-11-30T16:44:03.000Z | 2022-03-30T23:12:09.000Z | # Copyright Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompan... | 34.84 | 98 | 0.778416 | 0 | 0 | 0 | 0 | 264 | 0.101033 | 0 | 0 | 825 | 0.315729 |