hexsha stringlengths 40 40 | size int64 6 782k | ext stringclasses 7
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | 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 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | 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 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
60bb23e2b1809a41ea42d6d6b79e528b2bad7cac | 14,545 | py | Python | Packs/F5LTM/Integrations/F5LTM/F5LTM.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/F5LTM/Integrations/F5LTM/F5LTM.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/F5LTM/Integrations/F5LTM/F5LTM.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | from CommonServerPython import *
from CommonServerUserPython import *
import requests
import traceback
requests.packages.urllib3.disable_warnings()
''' CONSTANTS '''
DATE_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
''' CLIENT CLASS '''
class Client(BaseClient):
def __init__(self, base_url: str, token: object, partition: ... | 37.199488 | 118 | 0.619732 |
60de087326af1857e34cfcb293c68e6aee80cd46 | 3,793 | py | Python | test/mockServer.py | wchming1987/Tumbler | e309771779c8eb44e685adbb691a428d29009e05 | [
"Apache-2.0"
] | null | null | null | test/mockServer.py | wchming1987/Tumbler | e309771779c8eb44e685adbb691a428d29009e05 | [
"Apache-2.0"
] | null | null | null | test/mockServer.py | wchming1987/Tumbler | e309771779c8eb44e685adbb691a428d29009e05 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding=utf-8 -*-
import time
import json
import sys
import urllib
import urllib2
import tornado.autoreload
import tornado.httpserver
import tornado.ioloop
import tornado.web
from tornado import gen
from tornado.httpclient import AsyncHTTPClient, HTTPRequest
from tornado.options import define, ... | 26.711268 | 112 | 0.598998 |
1cd0cf84e798265a9a8e8336698e1aa2171fea5c | 447 | py | Python | exercises/fr/exc_03_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/fr/exc_03_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/fr/exc_03_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
# Définis le composant personnalisé
def length_component(doc):
# Obtiens la longueur du doc
doc_length = ____
print(f"Ce document comporte {doc_length} tokens.")
# Retourne le doc
____
# Charge le petit modèle français
nlp = spacy.load("fr_core_news_sm")
# Ajoute le composant en pre... | 20.318182 | 55 | 0.736018 |
1c79e01b4127b52b3e7bc24ce51bb12b4d134971 | 2,570 | py | Python | Work/TriviaMVA/TriviaMVA/routes.py | dineshkumar2509/Flask | bcacb81d9411f53a88a80c2e4ce31e8141775cbe | [
"Apache-2.0"
] | 79 | 2015-01-31T17:08:36.000Z | 2021-11-16T16:33:51.000Z | Work/TriviaMVA/TriviaMVA/routes.py | dineshkumar2509/Flask | bcacb81d9411f53a88a80c2e4ce31e8141775cbe | [
"Apache-2.0"
] | 3 | 2015-05-31T16:34:20.000Z | 2016-10-17T05:32:36.000Z | Work/TriviaMVA/TriviaMVA/routes.py | dineshkumar2509/Flask | bcacb81d9411f53a88a80c2e4ce31e8141775cbe | [
"Apache-2.0"
] | 100 | 2015-02-01T12:28:58.000Z | 2020-11-15T11:43:34.000Z | from flask import Flask, url_for, request, render_template;
from app import app;
import redis;
#Connect to redis data store
r = redis.StrictRedis(host='flaskmva.redis.cache.windows.net',port=6380,ssl=True,db=0, charset="utf-8", decode_responses=True, password='kxmLxHPfw5Xx8piaTlyv5VrPBBkKMoNTG6TNta+Pd5I=');
# server... | 32.531646 | 184 | 0.593774 |
c76cacc3894170172a9e06b6fc08329e356911a3 | 483 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_4_Dictionary/70. return all unique values in a dictionary.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_4_Dictionary/70. return all unique values in a dictionary.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_4_Dictionary/70. return all unique values in a dictionary.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | '''
Write a Python function to return all unique values in a dictionary. The values should be returned in a list.
Input Data:
input_dict = {'Box1':'Apple', 'Box2':'Mango', 'Box3':'Orange', 'Box4':'Apple', 'Box5':'Orange', 'Box6':'Orange','Box7':'Strawberry','Box8':'Apple'}
Expected outcome = ['Mango', 'Orange', 'Str... | 32.2 | 147 | 0.695652 |
dc130899590bfd29eb5ac57e06ac2c75a7885d25 | 3,990 | py | Python | spo/spo/report/abgleich_facharztexpertisen/abgleich_facharztexpertisen.py | libracore/spo | efff6da53a776c4483f06d9ef1acc8a7aa96b28e | [
"MIT"
] | null | null | null | spo/spo/report/abgleich_facharztexpertisen/abgleich_facharztexpertisen.py | libracore/spo | efff6da53a776c4483f06d9ef1acc8a7aa96b28e | [
"MIT"
] | 6 | 2019-08-23T18:36:26.000Z | 2019-11-12T13:12:12.000Z | spo/spo/report/abgleich_facharztexpertisen/abgleich_facharztexpertisen.py | libracore/spo | c6617a4624d683e27ee3fde745313c30504f3fd1 | [
"MIT"
] | 1 | 2021-08-14T22:22:43.000Z | 2021-08-14T22:22:43.000Z | # Copyright (c) 2013, libracore and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils.data import getdate
def execute(filters=None):
columns, data = [
{"label": _("Mandat"), "fieldname": "mandat", "fi... | 54.657534 | 268 | 0.58396 |
2905fe1e6a974e5ab7a1f813f59b7d449ba2e3fc | 1,369 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v4_0/global_defaults_to_system_settings.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v4_0/global_defaults_to_system_settings.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v4_0/global_defaults_to_system_settings.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
import frappe
from collections import Counter
from frappe.core.doctype.user.user import STANDARD_USERS
def execute():
frappe.reload_doc("core", "doctype", "system_settings")
s... | 34.225 | 113 | 0.747991 |
466a4ca11a22839e4911c0eb45053871cb3a8be6 | 1,209 | py | Python | posts/forms.py | alien3211/lom-web | c7971238b0dd043854c911a0b9126b84d7deed4a | [
"MIT"
] | null | null | null | posts/forms.py | alien3211/lom-web | c7971238b0dd043854c911a0b9126b84d7deed4a | [
"MIT"
] | null | null | null | posts/forms.py | alien3211/lom-web | c7971238b0dd043854c911a0b9126b84d7deed4a | [
"MIT"
] | null | null | null | from django import forms
from posts.categoryModels import Category
from .models import Post
from pagedown.widgets import PagedownWidget
class SearchForm(forms.Form):
query = forms.CharField()
class CategoryForm(forms.ModelForm):
class Meta:
model = Category
fields = [
"parent",
... | 26.866667 | 180 | 0.615385 |
3155b4d9678dc852aff9ff775f8d7987826ad7a3 | 283 | py | Python | exercises/de/solution_04_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/de/solution_04_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/de/solution_04_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
# Erstelle ein leeres Model für "de"
nlp = spacy.blank("de")
# Erstelle einen neuen Entity Recognizer ("ner") und füge ihn zur Pipeline hinzu
ner = nlp.create_pipe("ner")
nlp.add_pipe(ner)
# Füge das Label "GADGET" zum Entity Recognizer hinzu
ner.add_label("GADGET")
| 23.583333 | 80 | 0.742049 |
9ec56ecd764e192603a0f5d2ec22a3f32287400f | 5,773 | py | Python | experiments/yale_b/data_setup.py | shailesh1729/ssc | 6baec02037fc3563bd3b671dd3e7a1fbe16a0841 | [
"Apache-2.0"
] | 1 | 2021-12-10T04:25:08.000Z | 2021-12-10T04:25:08.000Z | experiments/yale_b/data_setup.py | shailesh1729/ssc | 6baec02037fc3563bd3b671dd3e7a1fbe16a0841 | [
"Apache-2.0"
] | null | null | null | experiments/yale_b/data_setup.py | shailesh1729/ssc | 6baec02037fc3563bd3b671dd3e7a1fbe16a0841 | [
"Apache-2.0"
] | null | null | null | # Python imports
from pathlib import Path
# Numpy/Scipy imports
import scipy.io
# JAX imports
import jax.numpy as jnp
from jax import random
# CR-Sparse imports
import cr.sparse.cluster as crcluster
import cr.sparse.cluster.ssc as ssc
import cr.sparse as crs
# Data directory
here = Path(__file__).parent
experiments_d... | 39.272109 | 112 | 0.698077 |
9ee2578dd228665a195857d571f350ec752e68a9 | 584 | py | Python | components/ucloud_ai/cp_resources.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | components/ucloud_ai/cp_resources.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | components/ucloud_ai/cp_resources.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z | #!/usr/bin/env python3
import os
import sys
import getpass
import shutil
comp_path = sys.path[0]
print("comp_path:")
print(comp_path)
# original folder
org_image_path = comp_path + "/example/image"
# new folder
data_path = comp_path + "/../../hardware/chip/haas1000/prebuild/data"
image_path = data_path + "/ucloud_a... | 20.137931 | 69 | 0.755137 |
b47e16660ce97262ab4ed447057c27c51d887867 | 394 | py | Python | udacity course code/01-03-numpyarrays.py | bluemurder/mlfl | b895b2f1d01b0f6418a5bcee2f204dd7916062f0 | [
"MIT"
] | 1 | 2021-03-22T22:25:54.000Z | 2021-03-22T22:25:54.000Z | udacity course code/01-03-numpyarrays.py | bluemurder/mlfl | b895b2f1d01b0f6418a5bcee2f204dd7916062f0 | [
"MIT"
] | 6 | 2017-01-16T09:53:21.000Z | 2017-01-18T12:20:09.000Z | udacity course code/01-03-numpyarrays.py | bluemurder/mlfl | b895b2f1d01b0f6418a5bcee2f204dd7916062f0 | [
"MIT"
] | null | null | null | """Creating NumPy arrays."""
import numpy as np
def test_run():
# List to 1D array
print np.array([2, 3, 4])
# List of tuples to 2D array
print np.array([(2, 3, 4), (5, 6, 7)])
# Empty array
print np.empty(5)
print np.empty((5,4,3))
print np.ones((5,4))
# Type specifying
pri... | 17.909091 | 42 | 0.573604 |
5eedd86900e560c0c2f9547a3a751b7ed1ea6c29 | 133 | py | Python | Exercicios/ex05.py | BoltzBit/LP | f84d36d1bdee9a20c197cebec2810234c5311fb8 | [
"MIT"
] | null | null | null | Exercicios/ex05.py | BoltzBit/LP | f84d36d1bdee9a20c197cebec2810234c5311fb8 | [
"MIT"
] | null | null | null | Exercicios/ex05.py | BoltzBit/LP | f84d36d1bdee9a20c197cebec2810234c5311fb8 | [
"MIT"
] | null | null | null | nome = input('Digite seu nome: ')
idade = input('Digite sua idade: ')
msg = '{0} você tem {1} anos!'
print(msg.format(nome,idade))
| 19 | 35 | 0.639098 |
48fe1b555e85bd8df3b989d7cfc9858cc98e919e | 309 | py | Python | Classes/Wall.py | EKaczmarek/BomberMan | a232d00ff0fe9be0a1276fba22c3f120e2bb4e5d | [
"MIT"
] | 1 | 2018-04-30T15:46:47.000Z | 2018-04-30T15:46:47.000Z | Classes/Wall.py | EKaczmarek/BomberMan | a232d00ff0fe9be0a1276fba22c3f120e2bb4e5d | [
"MIT"
] | 1 | 2018-06-03T13:20:19.000Z | 2018-06-03T20:19:25.000Z | Classes/Wall.py | EKaczmarek/BomberMan | a232d00ff0fe9be0a1276fba22c3f120e2bb4e5d | [
"MIT"
] | 1 | 2018-06-03T12:59:11.000Z | 2018-06-03T12:59:11.000Z | import pygame
class Wall(object):
x, y = '', ''
desc = "wall"
def __init__(self, pos):
self.x = pos[0]
self.y = pos[1]
self.rect = pygame.Rect(pos[0], pos[1], 50, 50)
def get_wall(self):
return self
def get_pos_wall(self):
return self.x, self.y | 18.176471 | 55 | 0.527508 |
82748e0b8e9e847204b145ca3ca6892e1b7b55ac | 286 | py | Python | service/generate.py | fausecteam/faustctf-2019-responsivesecurity | 65b4e02bdc9de278166c38697ab992638977d511 | [
"0BSD"
] | null | null | null | service/generate.py | fausecteam/faustctf-2019-responsivesecurity | 65b4e02bdc9de278166c38697ab992638977d511 | [
"0BSD"
] | null | null | null | service/generate.py | fausecteam/faustctf-2019-responsivesecurity | 65b4e02bdc9de278166c38697ab992638977d511 | [
"0BSD"
] | null | null | null | import sys
import collections
infile = sys.argv[1]
d = collections.defaultdict(list)
for line in open(infile):
prefix = line[:5]
suffix = line[5:]
d[prefix].append(suffix)
for prefix, suffices in d.items():
with open(prefix, "w") as f:
f.writelines(suffices)
| 19.066667 | 34 | 0.660839 |
7db1de91a1fcfd103816fd8a1a3cbb008e5c3aa7 | 1,158 | py | Python | source-code/ESP8266/m_Storage.py | ZakkyMas/Audio_Mixer_Wireless | 7f7a002fdf8eebe6891c06b803f1a3bd0c2da7ca | [
"MIT"
] | 3 | 2020-12-30T18:37:13.000Z | 2021-10-02T07:43:10.000Z | source-code/ESP8266/m_Storage.py | ZakkyMas/Audio_Mixer_Wireless | 7f7a002fdf8eebe6891c06b803f1a3bd0c2da7ca | [
"MIT"
] | null | null | null | source-code/ESP8266/m_Storage.py | ZakkyMas/Audio_Mixer_Wireless | 7f7a002fdf8eebe6891c06b803f1a3bd0c2da7ca | [
"MIT"
] | 1 | 2021-10-02T07:47:53.000Z | 2021-10-02T07:47:53.000Z | import gc
gc.collect()
import ujson as json
class Storage:
def __init__(self, system):
self._call = system
self._call.Save = self.SAVE
self._call.RESET = self.RESET
with open('main.json') as f:
self._call.JSON_Main = json.loads(f.read())
f.clo... | 27.571429 | 56 | 0.480138 |
96669d331e147a5408219722fc4ca75f9c0f1545 | 822 | py | Python | python/coursera_python/FUND_OF_COMP_RICE/FUND_OF_COMPUTING_RICE2/week2/particle_class1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/FUND_OF_COMP_RICE/FUND_OF_COMPUTING_RICE2/week2/particle_class1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/FUND_OF_COMP_RICE/FUND_OF_COMPUTING_RICE2/week2/particle_class1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | # Testing template for Particle class
###################################################
# Student should add code for the Particle class here
###################################################
# Test code for the Particle class
p = Particle([20, 20], "Red")
print p
print type(p)
p.move([10, 20])
print p
p... | 21.076923 | 53 | 0.547445 |
7382abd68b5f1b4bb10d3771e5b873c5e9137494 | 2,887 | py | Python | qmk_firmware/lib/python/qmk/cli/generate/rgb_breathe_table.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | 2 | 2021-04-16T23:29:01.000Z | 2021-04-17T02:26:22.000Z | qmk_firmware/lib/python/qmk/cli/generate/rgb_breathe_table.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/lib/python/qmk/cli/generate/rgb_breathe_table.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | """Generate rgblight_breathe_table.h
"""
import math
from argparse import ArgumentTypeError
from milc import cli
import qmk.path
def breathing_center(value):
value = float(value)
if value >= 1 and value <= 2.7:
return value
else:
raise ArgumentTypeError('Breathing center must be between ... | 36.0875 | 200 | 0.653273 |
fb7c2517331d75d7e3b07b6eaba4fd7daf807c44 | 463 | py | Python | udacity course code/01-03-numpyarraymaximumquiz.py | bluemurder/mlfl | b895b2f1d01b0f6418a5bcee2f204dd7916062f0 | [
"MIT"
] | 1 | 2021-03-22T22:25:54.000Z | 2021-03-22T22:25:54.000Z | udacity course code/01-03-numpyarraymaximumquiz.py | bluemurder/mlfl | b895b2f1d01b0f6418a5bcee2f204dd7916062f0 | [
"MIT"
] | 6 | 2017-01-16T09:53:21.000Z | 2017-01-18T12:20:09.000Z | udacity course code/01-03-numpyarraymaximumquiz.py | bluemurder/mlfl | b895b2f1d01b0f6418a5bcee2f204dd7916062f0 | [
"MIT"
] | null | null | null | """Locate maximum value."""
import numpy as np
def get_max_index(a):
"""Return the index of the maximum value in given 1D array."""
return a.argmax()
def test_run():
a = np.array([9, 6, 2, 3, 12, 14, 7, 10], dtype=np.int32) # 32-bit integer array
print "Array:", a
# Find the maximum and i... | 21.045455 | 85 | 0.617711 |
fbbdf3163499c3447e03e3e1528ddacc06bc4eae | 361 | py | Python | python/synchronization_primitives/rlock_tut.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/synchronization_primitives/rlock_tut.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/synchronization_primitives/rlock_tut.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import threading
num = 0
lock = threading.Lock()
# lock.acquire()
# num += 1
# lock.acquire()
# num += 2
# lock.release()
# With RLock, that problem doesn't happen
lock = threading.RLock()
lock.acquire()
num += 3
lock.acquire() # This won't block
num += 4
lock.release()
lock.release() # You need to call release ... | 15.695652 | 72 | 0.6759 |
83ed04089a5d0b637ee4aa9de52771d2d4dcb6cd | 1,977 | py | Python | room.py | nomadkitty/adventure-game-python | f8081ab2ca4a0e874dea10c3262e2ab65cb66974 | [
"MIT"
] | null | null | null | room.py | nomadkitty/adventure-game-python | f8081ab2ca4a0e874dea10c3262e2ab65cb66974 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/06_graphs/projects/adventure/room.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | # Implement a class to hold room information. This should have name and
# description attributes.
class Room:
def __init__(self, name, description, id=0, x=None, y=None):
self.id = id
self.name = name
self.description = description
self.n_to = None
self.s_to = None
se... | 32.95 | 110 | 0.545776 |
f72b2ad2a58898693037001dda7e833ae44efbc4 | 682 | py | Python | pyntcloud/structures/kdtree.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/structures/kdtree.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/structures/kdtree.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | from scipy.spatial import cKDTree
from .base import Structure
class KDTree(cKDTree, Structure):
def __init__(self, *, points, leafsize=16, compact_nodes=False, balanced_tree=False):
Structure.__init__(self, points=points)
self._leafsize = leafsize
self._compact_nodes = compact_nodes
... | 31 | 96 | 0.66129 |
f7867a88c2b86564a1923fad38ef0c1c8121a5ed | 163 | py | Python | TreeModelLib/GrowthAndDeathDynamics/NetworkBettina/__init__.py | mcwimm/pyMANGA | 6c7b53087e53b116bb02f91c33974f3dfd9a46de | [
"MIT"
] | 1 | 2021-03-16T08:35:50.000Z | 2021-03-16T08:35:50.000Z | TreeModelLib/GrowthAndDeathDynamics/NetworkBettina/__init__.py | mcwimm/pyMANGA | 6c7b53087e53b116bb02f91c33974f3dfd9a46de | [
"MIT"
] | 67 | 2019-11-14T11:29:52.000Z | 2022-03-09T14:37:11.000Z | TreeModelLib/GrowthAndDeathDynamics/NetworkBettina/__init__.py | mcwimm/pyMANGA | 6c7b53087e53b116bb02f91c33974f3dfd9a46de | [
"MIT"
] | 6 | 2019-11-12T11:11:41.000Z | 2021-08-12T13:57:22.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@date: 2021-Today
@author: marie-christin.wimmler@tu-dresden.de
"""
from .NetworkBettina import NetworkBettina
| 18.111111 | 45 | 0.699387 |
f7984d4af11c0fbe68c524c074d728a8ddec39f2 | 15,756 | py | Python | mxst/pipeline_EXAM.py | mnemocron/FHNW | e43c298cb9c8f617fa19b77dd6630a342c78bda7 | [
"Unlicense"
] | 1 | 2020-10-07T07:28:33.000Z | 2020-10-07T07:28:33.000Z | mxst/pipeline_EXAM.py | mnemocron/FHNW | e43c298cb9c8f617fa19b77dd6630a342c78bda7 | [
"Unlicense"
] | null | null | null | mxst/pipeline_EXAM.py | mnemocron/FHNW | e43c298cb9c8f617fa19b77dd6630a342c78bda7 | [
"Unlicense"
] | 1 | 2021-01-17T16:38:58.000Z | 2021-01-17T16:38:58.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 29 08:58:00 2020
@author: simon
SEE EXAM in the SECTION BELOW
"""
#%%
import sympy as sp
import numpy as np
import matplotlib.pyplot as plt
# Quantizer
# quant(0.111, [-0.125, 0.125]) ==> 1 out of range[0, 1, 2]
# returns value in range [0 to n+1] where... | 29.560976 | 101 | 0.585047 |
e3b227025c72734558cea5d65292ce23745fa25a | 3,260 | py | Python | merge_ortho_groups.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | merge_ortho_groups.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | merge_ortho_groups.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Merge orthology groups
# Yue Hao
# 10/2020
# python merge_ortho_groups.py species-names.tab Ortho_groups_test_90.nt_ali.fasta.tre.txt
import sys
from parse_ortho_gene_tree import get_species
def main():
global species
species = get_species(str(sys.argv[1]))
Ortho_groups = read_ortho_group(st... | 26.08 | 95 | 0.676687 |
58724c36c3934f86aeb5b0f277a433dfa4c1524f | 3,030 | py | Python | utils/configuration.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | utils/configuration.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | utils/configuration.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
from types import FunctionType
from utils.codes import Models, Losses, Kernels, properties
z_dim = 32
class default_config:
model_name = Models.AE
graph_type = Models.AE
dataset_name = ''
#
latent_dim = z_dim
latent_mean = np.zeros(z_dim)... | 23.671875 | 77 | 0.566667 |
548126c840932b1d216303447453db499273d654 | 126 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 19/19.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | 50-Python-Exercises/Exercises/Exercise 19/19.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | 50-Python-Exercises/Exercises/Exercise 19/19.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #Add a c key with a value of 3 to the dictionary and print out the updated dictinary
d = {"a": 1, "b": 2}
d["c"] = 3
print(d)
| 25.2 | 84 | 0.634921 |
b207797933f14f82f7a5e06e85e852b4cfbf20a1 | 586 | py | Python | exercises/de/exc_04_11.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/de/exc_04_11.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/de/exc_04_11.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.tokens import Span
nlp = spacy.blank("de")
doc1 = nlp("ich war letztes jahr in amsterdem und die kanäle warn superschön")
doc1.ents = [Span(doc1, 5, 6, label="TOURISTENZIEL")]
doc2 = nlp("Du solltest einmal im Leben Paris besuchen, aber der Eiffelturm ist relativ langweilig")
doc2.ents = [Spa... | 34.470588 | 103 | 0.728669 |
b7b158eab7cfeb9a360aae2d982b58b298dacc96 | 8,203 | py | Python | Assignments/2019_Fall/pa2/private_autograder/grader_third.py | USMC1941/CS211_Rutgers | dfcac8b9c719edc04d3e79fee3f95bf3aa40a4e8 | [
"MIT"
] | 24 | 2018-12-30T18:05:26.000Z | 2022-01-18T08:36:59.000Z | Assignments/2019_Fall/pa2/private_autograder/grader_third.py | USMC1941/CS211_Rutgers | dfcac8b9c719edc04d3e79fee3f95bf3aa40a4e8 | [
"MIT"
] | null | null | null | Assignments/2019_Fall/pa2/private_autograder/grader_third.py | USMC1941/CS211_Rutgers | dfcac8b9c719edc04d3e79fee3f95bf3aa40a4e8 | [
"MIT"
] | 12 | 2018-02-16T20:25:23.000Z | 2021-06-29T22:39:46.000Z | #! /usr/bin/python
import os
import sys
import glob
import time
import subprocess
import signal
import popen2
import time
dict_train = {"testA.txt": "trainA.txt", "testB.txt": "trainB.txt", "testC.txt": "trainC.txt", "testD.txt": "trainD.txt",
"testE.txt": "trainE.txt", "testF.txt": "trainF.txt", "testG... | 30.608209 | 174 | 0.566012 |
4dc89978a9c564b486544e02fdeaaadb84963b25 | 1,034 | py | Python | methods/transformers/examples/token-classification/scripts/preprocess.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | 3 | 2021-07-06T20:02:31.000Z | 2022-03-27T13:13:01.000Z | methods/transformers/examples/token-classification/scripts/preprocess.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | methods/transformers/examples/token-classification/scripts/preprocess.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | import sys
from transformers import AutoTokenizer
dataset = sys.argv[1]
model_name_or_path = sys.argv[2]
max_len = int(sys.argv[3])
subword_len_counter = 0
tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()
with open(dataset, "rt") as f_p:
... | 24.619048 | 70 | 0.617021 |
12e29017e75f2468dc380af03eb0c27c0be128c9 | 400 | py | Python | tests/views/test_image.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | tests/views/test_image.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | tests/views/test_image.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | import shutil
import pytest
from project import img_path
@pytest.mark.parametrize("size", [None, 100])
def test_read(app, seeder, utils, size):
user_id, admin_unit_id = seeder.setup_base()
image_id = seeder.upsert_default_image()
shutil.rmtree(img_path, ignore_errors=True)
url = utils.get_image_ur... | 22.222222 | 54 | 0.73 |
42794047a2354128de07b6c24ea7d73914bfda6c | 4,501 | py | Python | tests/transformers/xlnet/test_modeling.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | tests/transformers/xlnet/test_modeling.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | tests/transformers/xlnet/test_modeling.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle 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 appli... | 33.340741 | 114 | 0.638303 |
c055ceed477da0ba3b62a89bc9c92b9cf15a24ff | 188 | py | Python | src/aijack/utils/metrics.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:44.000Z | 2022-03-17T21:17:44.000Z | src/aijack/utils/metrics.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | null | null | null | src/aijack/utils/metrics.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:46.000Z | 2022-03-17T21:17:46.000Z | import torch
def total_variation(x):
dx = torch.mean(torch.abs(x[:, :, :, :-1] - x[:, :, :, 1:]))
dy = torch.mean(torch.abs(x[:, :, :-1, :] - x[:, :, 1:, :]))
return dx + dy
| 23.5 | 64 | 0.457447 |
450d842e665d2966bd69329cf87180b9b82520e0 | 330 | py | Python | StarCTF/2021/web/oh-my-socket/source/client/client/app.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 91 | 2021-01-21T07:37:47.000Z | 2021-11-18T03:08:58.000Z | StarCTF/2021/web/oh-my-socket/source/client/client/app.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 2 | 2021-01-22T01:21:19.000Z | 2021-01-22T18:29:33.000Z | StarCTF/2021/web/oh-my-socket/source/client/client/app.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 13 | 2021-01-21T10:11:19.000Z | 2021-03-14T13:10:49.000Z | from flask import Flask, request
app = Flask(__name__)
@app.route('/')
def index():
return open(__file__).read()
@app.route("/file", methods=['GET','POST'])
def file():
file = request.args.get('name')
content = open(file).read()
return content
if __name__ == "__main__":
app.run(port=5000, host='... | 19.411765 | 43 | 0.630303 |
8319fce9e5adbf083ce34d380eba0cdabaf9fb6e | 1,248 | py | Python | automation/ansible/roles/zookeeper/molecule/default/tests/test_default.py | nutstache/dockerlabs | acfb2b4e06e2c4092849be6dcc1f88038f64cfed | [
"MIT"
] | 2,521 | 2018-07-13T07:23:45.000Z | 2022-03-31T22:54:06.000Z | automation/ansible/roles/zookeeper/molecule/default/tests/test_default.py | nutstache/dockerlabs | acfb2b4e06e2c4092849be6dcc1f88038f64cfed | [
"MIT"
] | 171 | 2018-06-21T13:21:43.000Z | 2022-03-09T06:55:35.000Z | automation/ansible/roles/zookeeper/molecule/default/tests/test_default.py | nutstache/dockerlabs | acfb2b4e06e2c4092849be6dcc1f88038f64cfed | [
"MIT"
] | 1,250 | 2018-06-19T06:57:23.000Z | 2022-03-29T16:26:34.000Z | import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
def test_package(host):
if host.system_info.distribution == 'centos':
d = host.file("/opt/zookeeper-3.4.13")
assert d.exists... | 24.470588 | 63 | 0.661859 |
7fed4a2af61617460c5ab7a026cf617670993f2d | 391 | py | Python | etl/mappings/cdm_definitions.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/mappings/cdm_definitions.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/mappings/cdm_definitions.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | """
diag, hist, and prob are not included in this cdm_defs
"""
cdm_defs = {
'fid a': {
'unit': '',
'value': str,
'thresh': (None, None),
'human_readable': 'feature A definition',
},
'fid' b: {
'unit': '',
'value': str,
'thresh': (No... | 21.722222 | 54 | 0.44757 |
1826a2bc9171d52a7382df001a0c5b9ee308f6b7 | 430 | py | Python | OSCP/walkthrough/HTB/web/freelancer/emdee.py | bbhunter/Security-Guide | 139cfba3b30a4ca6a32d11aa025638d0a9c5c541 | [
"MIT"
] | 98 | 2019-11-20T05:26:30.000Z | 2022-01-27T05:05:39.000Z | OSCP/walkthrough/HTB/web/freelancer/emdee.py | bbhunter/Security-Guide | 139cfba3b30a4ca6a32d11aa025638d0a9c5c541 | [
"MIT"
] | null | null | null | OSCP/walkthrough/HTB/web/freelancer/emdee.py | bbhunter/Security-Guide | 139cfba3b30a4ca6a32d11aa025638d0a9c5c541 | [
"MIT"
] | 34 | 2019-11-25T14:29:16.000Z | 2021-10-18T16:40:42.000Z | import requests
import hashlib
import re
url = "http://docker.hackthebox.eu:34914/"
r = requests.session()
out=r.get(url)
out=re.search("<h3 align='center'>+.*?</h3>",out.text)
out=re.search("'>.*<",out[0])
out=re.search("[^|'|>|<]...................",out[0])
out=hashlib.md5(out[0].encode('utf-8')).hexdigest()
pr... | 18.695652 | 54 | 0.602326 |
a7fdb6a457cead76ef5444457850f621040e47f5 | 2,302 | py | Python | reports/sep/code/create_yolo_data.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2020-04-17T12:27:06.000Z | 2020-04-17T12:27:06.000Z | reports/sep/code/create_yolo_data.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2022-02-27T13:13:17.000Z | 2022-02-27T13:13:17.000Z | reports/sep/code/create_yolo_data.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | null | null | null |
import cv2
import json
import numpy as np
from os import path, listdir
from tqdm import tqdm
raw = path.join('data', 'sep_raw_01')
interim = path.join('data', 'sep_interim_01')
processed = path.join('data', 'sep_processed_01')
image_width = 360
image_height = 360
data_list = []
num_examples = 100000
for image_idx... | 30.693333 | 76 | 0.586012 |
9aae22705d3a2efde6589471f1be34163ebf1b78 | 1,682 | py | Python | S5/CS331-SS/PGM_005b - Two Level Directory.py | joe247/CSE-LABS | bab17548562bdc9c0bc8b15679f07379a9e98dec | [
"MIT"
] | 2 | 2021-02-03T02:03:21.000Z | 2021-07-03T20:24:14.000Z | S5/CS331-SS/PGM_005b - Two Level Directory.py | joe247/CSE-LABS | bab17548562bdc9c0bc8b15679f07379a9e98dec | [
"MIT"
] | null | null | null | S5/CS331-SS/PGM_005b - Two Level Directory.py | joe247/CSE-LABS | bab17548562bdc9c0bc8b15679f07379a9e98dec | [
"MIT"
] | null | null | null | from anytree import Node, RenderTree
def view():
us, lst = [], []
rt = Node(root)
[us.append(Node(i, parent=rt)) for i in users]
[lst.append(Node(j,parent=i)) for i, k in zip(us, range(len(files))) for j in files[k]]
for pre, fill, node in RenderTree(rt):
print(str(pre)+str(node.name))
fill #just to use the v... | 28.508475 | 161 | 0.625446 |
b1078d65f640b4c4a760cfdd6983f29f2cf93bab | 1,519 | py | Python | lib/python/algebra/unionfind.py | nullputra/nlptr-lib | 618c2c74c3d3033bae04de9ba9a253bb6eb31a6c | [
"CC0-1.0"
] | null | null | null | lib/python/algebra/unionfind.py | nullputra/nlptr-lib | 618c2c74c3d3033bae04de9ba9a253bb6eb31a6c | [
"CC0-1.0"
] | null | null | null | lib/python/algebra/unionfind.py | nullputra/nlptr-lib | 618c2c74c3d3033bae04de9ba9a253bb6eb31a6c | [
"CC0-1.0"
] | null | null | null | # Ref: not522/ac-library-python https://github.com/not522/ac-library-python/blob/master/atcoder/dsu.py
class UnionFind:
def __init__(self, n=0):
self._n = n
self.parent_or_size = [-1] * n
def merge(self, a, b):
assert 0 <= a < self._n
assert 0 <= b < self._n
x = self.fin... | 31.645833 | 102 | 0.535221 |
7715c5c00d4b8eedbe690b0154f6265172cead60 | 634 | py | Python | app/models/documents.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | app/models/documents.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | app/models/documents.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | import datetime
from sqlalchemy.dialects.mysql import LONGTEXT
from app import db
class Document(db.Model):
__tablename__ = 'documents'
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(80), unique=True)
content = db.Column(LONGTEXT)
creator_id = db.Column(db.Integer, ind... | 30.190476 | 108 | 0.722397 |
6204e04510c0a038bae54738b6f08f58cfce5e94 | 38,396 | py | Python | Packs/BPA/Integrations/BPA/test_data/response_constants.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/BPA/Integrations/BPA/test_data/response_constants.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/BPA/Integrations/BPA/test_data/response_constants.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | GET_RESULTS_RESPONSE = {
"status": "complete",
"results": {
"version": "5.0.0",
"adoption": ["adoption"],
"adoption_summary": ["adoption summary"],
"adoption_grand_totals": {"adoption grand totals": "stats"},
"adoption_trend": ['adoption trend'],
"bpa": {
... | 52.097693 | 1,160 | 0.445541 |
656aa1e3004154eb861b6326bc1f9d4fa6b278f2 | 21,795 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/virt_pool.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/virt_pool.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/virt_pool.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2015, Maciej Delmanowski <drybjed@gmail.com>
# 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... | 30.610955 | 106 | 0.57504 |
65b797fc6f222d2242b0dfa22abe6627f584a549 | 697 | py | Python | partner_ngos/fund_management/doctype/activity/activity.py | AkramMutaher/partner_ngos | 4a345fb6989ff5a21db7fca07aa4e5174dca8f59 | [
"MIT"
] | null | null | null | partner_ngos/fund_management/doctype/activity/activity.py | AkramMutaher/partner_ngos | 4a345fb6989ff5a21db7fca07aa4e5174dca8f59 | [
"MIT"
] | null | null | null | partner_ngos/fund_management/doctype/activity/activity.py | AkramMutaher/partner_ngos | 4a345fb6989ff5a21db7fca07aa4e5174dca8f59 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2020, Akram Mutaher and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _, throw
from frappe.model.document import Document
from frappe.utils import (cstr)
class Activity(Document):
def val... | 30.304348 | 81 | 0.757532 |
029c0515ce610d56d84a6677a7f4f0ed8e4c952a | 5,300 | py | Python | research/nlp/seq2seq/src/seq2seq_model/decoder.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/seq2seq/src/seq2seq_model/decoder.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/seq2seq/src/seq2seq_model/decoder.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 41.085271 | 108 | 0.625472 |
b89e0e8defe498254ebfd03e3b32f93e8ea1f90c | 9,262 | py | Python | hisim/components/battery.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | hisim/components/battery.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | hisim/components/battery.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 1 | 2022-03-13T16:15:36.000Z | 2022-03-13T16:15:36.000Z | # Generic/Built-in
import copy
# Owned
from hisim import component as cp
from hisim import loadtypes as lt
from hisim import utils
from hisim.components.ev_charger import SimpleStorageState
from hisim.simulationparameters import SimulationParameters
__authors__ = "Vitor Hugo Bellotto Zago"
__copyright__ = "Copyright 2... | 42.1 | 149 | 0.562513 |
b22faf1519e40b192480a732a03d95fb56e54e9c | 704 | py | Python | BITs/2014/Shmireychik_S_V/task_4_17.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Shmireychik_S_V/task_4_17.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Shmireychik_S_V/task_4_17.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №4, Вариант 17
#Программа выводит имя, под которым скрывается Грета Густафсон и дополнительно выводит область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти)
#Шмирейчик С.В.
#14.03.2016
print(" Грета Гус... | 35.2 | 240 | 0.742898 |
a7778629f5a0d1c521e89d84f16df7798ad78a70 | 3,424 | py | Python | Packs/PcapAnalysis/Scripts/PcapMinerV2/PcapMinerV2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/PcapAnalysis/Scripts/PcapMinerV2/PcapMinerV2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/PcapAnalysis/Scripts/PcapMinerV2/PcapMinerV2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
def test_strip():
test_string = "T'hi's >is a t[]es[t t<]ext."
from PcapMinerV2 import strip
assert strip(test_string) == "Thisisatesttext."
def test_heirarchy_to_md():
test_heirarchy = {'First Layer': 50,
'Second Layer': 50,
'Third Layer': 5... | 43.897436 | 118 | 0.571554 |
38f796481cc6a3c57e85d87d90ecf8c61c4787a6 | 5,096 | py | Python | MAIN/STM32F405_C/NORMAL/history/V36/AppContext.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | MAIN/STM32F405_C/NORMAL/history/V36/AppContext.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | MAIN/STM32F405_C/NORMAL/history/V36/AppContext.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | import utime
import peripheral
import userControl
import DataBase
import SX1239
import SubController
DB = DataBase.DataBase()
SX1239 = SX1239.SX1239()
SX1239.Receive()
Sub = SubController.Sub()
class Operation:
class Mode:
Value = 3
Standby = 0
Register = 1
Delete = 2
Sl... | 31.652174 | 86 | 0.620487 |
ac428b2659e5a0789d6bddd79912a0f557b040b5 | 30,430 | py | Python | Packs/WindowsDefenderAdvancedThreatProtection/Integrations/WindowsDefenderAdvancedThreatProtection/WindowsDefenderAdvancedThreatProtection.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/WindowsDefenderAdvancedThreatProtection/Integrations/WindowsDefenderAdvancedThreatProtection/WindowsDefenderAdvancedThreatProtection.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/WindowsDefenderAdvancedThreatProtection/Integrations/WindowsDefenderAdvancedThreatProtection/WindowsDefenderAdvancedThreatProtection.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import requests
import base64
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
requests.packages.urllib3.disable_warnings()
if not demisto.params()['proxy']:
del os.environ['HTTP_PROXY']
del os.env... | 33.004338 | 112 | 0.619783 |
3bd7771e5bfd8c165390479895908a0492b2cf1c | 14,183 | py | Python | frappe-bench/apps/erpnext/erpnext/hr/doctype/salary_slip/test_salary_slip.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/hr/doctype/salary_slip/test_salary_slip.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/hr/doctype/salary_slip/test_salary_slip.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import unittest
import frappe
import erpnext
import calendar
from erpnext.accounts.utils import get_fiscal_year
from frappe.utils import getdate, nowdat... | 39.839888 | 163 | 0.721145 |
ce1c79a45c8d6e513bc68a8e84822a861f9a41c8 | 618 | py | Python | comp/lifered/city.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | comp/lifered/city.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | comp/lifered/city.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | def city(T):
# build adjacency list
adj = [[] for i in range(len(T))]
root = 0
for i in range(len(T)):
t = T[i]
if i == t:
root = i
continue
adj[i].append(t)
adj[t].append(i)
# bfs
q = [root]
visited = [False for i in range(len(T))]
... | 20.6 | 44 | 0.412621 |
5a5b2133295ab36491a60f27f333eef6afac4d22 | 79 | py | Python | books/PythonCleanCode/ch9_design_pattern/log.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonCleanCode/ch9_design_pattern/log.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonCleanCode/ch9_design_pattern/log.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import logging
logging.basicConfig()
logger = logging.getLogger(__name__)
| 15.8 | 37 | 0.772152 |
0c7ee71659d6a76f652562512ca80488d1626145 | 230 | py | Python | Python/1. Introduction/2.If_Else.py | anberlin-mudasir/hakerrank | 7ea076bf959f942dfb7a97ba2dc8074147b610be | [
"MIT"
] | null | null | null | Python/1. Introduction/2.If_Else.py | anberlin-mudasir/hakerrank | 7ea076bf959f942dfb7a97ba2dc8074147b610be | [
"MIT"
] | null | null | null | Python/1. Introduction/2.If_Else.py | anberlin-mudasir/hakerrank | 7ea076bf959f942dfb7a97ba2dc8074147b610be | [
"MIT"
] | null | null | null | if __name__ == '__main__':
n = int(input())
if(n%2 !=0):
print('Weird')
else:
if(n>=2 and n<=5):
print ('Not Weird')
elif(n>=6 and n<=20):
print ('Weird')
else:
print ('Not Weird')
| 14.375 | 27 | 0.465217 |
49064fffcb8c211bce47d97147d570dde89cd566 | 256 | py | Python | python/lib/sms.py | FiboVN/sms-examples | ec6df1104d67766a2a03e4d1313a47b2358d4d83 | [
"MIT"
] | null | null | null | python/lib/sms.py | FiboVN/sms-examples | ec6df1104d67766a2a03e4d1313a47b2358d4d83 | [
"MIT"
] | null | null | null | python/lib/sms.py | FiboVN/sms-examples | ec6df1104d67766a2a03e4d1313a47b2358d4d83 | [
"MIT"
] | null | null | null | class SMS:
endpoint = "http://center.fibosms.com/service.asmx"
clientNo = ""
clientPass = ""
def __init__(self, clientNo, clientPass):
self.clientNo = clientNo
self.clientPass = clientPass
def send_sms(self, message):
return False
| 19.692308 | 53 | 0.683594 |
0babf9acfd8a28649e34b9911d5d6d7dbe75b845 | 5,360 | py | Python | trainers/soft_value_based_trainer.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 2 | 2022-02-24T08:21:49.000Z | 2022-03-10T08:57:35.000Z | trainers/soft_value_based_trainer.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 1 | 2022-02-24T08:40:21.000Z | 2022-02-24T12:01:58.000Z | trainers/soft_value_based_trainer.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | null | null | null | import os
import torch
import numpy as np
from trainers.value_based_trainer import ValueBasedTrainer
from utils.scheduler import epsilon_scheduler
from utils.hparams import hparams
from utils.replay_buffer import ReplayBuffer
from utils.tb_logger import TensorBoardLogger
from utils.torch_utils import *
from utils.clas... | 44.297521 | 121 | 0.674813 |
e7edf4a9a1e88f9f4d39094399c9a8270227e327 | 2,625 | py | Python | verto/tests/TableOfContentsTest.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 4 | 2017-04-10T06:09:54.000Z | 2019-05-04T02:07:40.000Z | verto/tests/TableOfContentsTest.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 268 | 2017-04-03T20:40:46.000Z | 2022-02-04T20:10:08.000Z | verto/tests/TableOfContentsTest.py | uccser/kordac | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 1 | 2019-01-07T15:46:31.000Z | 2019-01-07T15:46:31.000Z | import markdown
from unittest.mock import Mock
from verto.VertoExtension import VertoExtension
from verto.processors.GenericTagBlockProcessor import GenericTagBlockProcessor
from verto.tests.ProcessorTest import ProcessorTest
class TableOfContentsTest(ProcessorTest):
'''The table-of-contents processor inherits f... | 46.875 | 132 | 0.735238 |
e8da4e8c03669cbb17ca154b66391b0cb8554dce | 18,185 | py | Python | Packs/FeedCrowdstrikeFalconIntel/Integrations/CrowdStrikeIndicatorFeed/CrowdStrikeIndicatorFeed.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/FeedCrowdstrikeFalconIntel/Integrations/CrowdStrikeIndicatorFeed/CrowdStrikeIndicatorFeed.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/FeedCrowdstrikeFalconIntel/Integrations/CrowdStrikeIndicatorFeed/CrowdStrikeIndicatorFeed.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import copy
import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
from CrowdStrikeApiModule import * # noqa: E402
# IMPORTS
from datetime import datetime
import requests
# Disable insecure warnings
requests.packag... | 39.532609 | 130 | 0.649821 |
68649c12d45ef7b8e10aaa8ad6d0c12a6adf07bf | 1,461 | py | Python | INBa/2014/Andreev_F_I/Andreev_9_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2014/Andreev_F_I/Andreev_9_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2014/Andreev_F_I/Andreev_9_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 9, Вариант 2
# Создайте игру, в которой компьютер выбирает какое-либо слово, а игрок должен его отгадать.
# Компьютер сообщает игроку, сколько букв в слове, и дает пять попыток узнать, есть ли какая-либо
# буква в слове, причем программа может отвечать только "Да" и "Нет". Вслед за тем игрок должен поп... | 31.76087 | 124 | 0.603012 |
686d50ce0b6ecb9da90a48dc070525af27f7b396 | 499 | py | Python | Project Euler Qusetions 11 - 20/Project Euler Question 20.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | 1 | 2020-02-11T02:03:02.000Z | 2020-02-11T02:03:02.000Z | Project Euler Qusetions 11 - 20/Project Euler Question 20.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | Project Euler Qusetions 11 - 20/Project Euler Question 20.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | #Project Euler Question 20
#n! means n × (n − 1) × ... × 3 × 2 × 1
#For example, 10! = 10 × 9 × ... × 3 × 2 × 1 = 3628800,
#and the sum of the digits in the number 10! is 3 + 6 + 2 + 8 + 8 + 0 + 0 = 27.
#Find the sum of the digits in the number 100!
def factorial(x):
if x == 1:
return 1
if x == 2:
return 2
e... | 22.681818 | 79 | 0.593186 |
68b155581afda2ccffd3bf2abc2b006afd282417 | 8,875 | py | Python | HW1.py | ranayukirin/ImageProce_hw1 | 1761d8a63aefc50091caa84069199baf8b026b05 | [
"MIT"
] | null | null | null | HW1.py | ranayukirin/ImageProce_hw1 | 1761d8a63aefc50091caa84069199baf8b026b05 | [
"MIT"
] | null | null | null | HW1.py | ranayukirin/ImageProce_hw1 | 1761d8a63aefc50091caa84069199baf8b026b05 | [
"MIT"
] | null | null | null | import numpy as np
import tkinter as tk
from PIL import ImageTk, Image # just for showing picture on GUI, NOT use for image loading or processing
from my_imfilter import my_imfilter
from gauss2D import gauss2D
from bitmap import Bitmap
window = tk.Tk()
window.title('HW1')
window.geometry('900x700')
starty = 0.5 * (700... | 40.158371 | 105 | 0.550873 |
0bdfe1abd511791c79d7a476ccc7b2b07c204ce6 | 1,468 | py | Python | FemagMain.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | null | null | null | FemagMain.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | null | null | null | FemagMain.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | null | null | null | from module.d_optimal_design import Doptimaldesign
from module.parallelcomp import run
import numpy as np
var = [596.0, 40.0, 1.2, 3.6, 1.0, 0.0, 0.0, 0.0, 0.0, 4.0]
inside_diam = 390.00
minJoch = 10.00
minSlot = 10.0
total_num_slot = 48
minopHeight = 1.00
slotwidthMin ... | 34.139535 | 169 | 0.591281 |
4a129764ca3f6b4da14be65bc0e096cb7f5027d4 | 1,684 | py | Python | RESTApi/flaskapp/routes.py | Peacecake/HoloMu | 98b422b226c2274e6d7e96df31724b0d2abd8ebb | [
"MIT"
] | null | null | null | RESTApi/flaskapp/routes.py | Peacecake/HoloMu | 98b422b226c2274e6d7e96df31724b0d2abd8ebb | [
"MIT"
] | 32 | 2018-06-19T15:27:04.000Z | 2018-09-30T20:17:23.000Z | RESTApi/flaskapp/routes.py | Peacecake/HoloMu | 98b422b226c2274e6d7e96df31724b0d2abd8ebb | [
"MIT"
] | null | null | null | from flask import Blueprint, request, Response
from db import get_db
from db import init_db
from uploader import Uploader
from jsonParser import JsonParser
import json
from . import trainAndTest
from . import label_image
import os
from collections import Counter
import recommend
bp = Blueprint("routes", __... | 30.618182 | 88 | 0.7019 |
e8b60876abd294da0da10d93a9008a6f154336a8 | 2,075 | py | Python | Packs/Rapid7_Nexpose/Integrations/Rapid7_Nexpose/Rapid7_Nexpose_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Rapid7_Nexpose/Integrations/Rapid7_Nexpose/Rapid7_Nexpose_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Rapid7_Nexpose/Integrations/Rapid7_Nexpose/Rapid7_Nexpose_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
import requests
ITEM_WITHOUT_MS = {
'date': '2019-05-03T03:01:54Z'
}
ITEM_WITH_MS = {
'date': '2019-05-03T03:02:54.123Z'
}
ITEM_WITH_SCANID = {
'date': '2019-05-03T03:03:54.123Z',
'scanId': '1'
}
class ResponseMock:
def __init__(self):
self.status_code = 20... | 23.314607 | 76 | 0.640482 |
d75bf86d563e8abfa6013100fdff22d453e16110 | 2,614 | py | Python | official/recommend/naml/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/recommend/naml/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/recommend/naml/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 40.215385 | 107 | 0.72456 |
7ed3250f47500af222aea8713d79c8d95fb41574 | 979 | py | Python | python/en/_matplotlib/gallery/subplots_axes_and_figures/aligning_labels.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_matplotlib/gallery/subplots_axes_and_figures/aligning_labels.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_matplotlib/gallery/subplots_axes_and_figures/aligning_labels.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
subplots_axes_and_figures/aligning_labels.py
Matplotlib > Gallery > Subplots, axes and figures > Aligning Labels
https://matplotlib.org/gallery/subplots_axes_and_figures/align_labels_demo.html#sphx-glr-gallery-subplots-axes-and-figures-align-labels-demo-py
TODO: Test... | 27.971429 | 143 | 0.694586 |
bc3407f255ea9d54cfa02b9bff0b4f1852859bee | 1,407 | py | Python | python/oneflow/compatible/single_client/test/ops/test_module_container.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 3,285 | 2020-07-31T05:51:22.000Z | 2022-03-31T15:20:16.000Z | python/oneflow/compatible/single_client/test/ops/test_module_container.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 2,417 | 2020-07-31T06:28:58.000Z | 2022-03-31T23:04:14.000Z | python/oneflow/compatible/single_client/test/ops/test_module_container.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 520 | 2020-07-31T05:52:42.000Z | 2022-03-29T02:38:11.000Z | """
Copyright 2020 The OneFlow 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 applicable law or agr... | 29.93617 | 72 | 0.710021 |
cb144dd8d225b467a6f5cedb504f362c5900073d | 1,038 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch02_math/ex07_roman_numbers_with_csv_file_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch02_math/ex07_roman_numbers_with_csv_file_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch02_math/ex07_roman_numbers_with_csv_file_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import pytest
import csv
from ch02_math.solutions.ex07_roman_numbers import from_roman_number, to_roman_number
def arabic_to_roman_number_map():
result = []
with open('arabicroman2.csv','rt') as file:
data = csv.r... | 28.833333 | 85 | 0.694605 |
1de89cdd45dad6148b6bcaf71330d9f8432f2ce0 | 3,593 | py | Python | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOmas.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 3 | 2019-06-18T15:28:09.000Z | 2019-07-11T07:31:45.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOmas.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 2 | 2019-07-11T14:03:25.000Z | 2021-02-08T16:14:04.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOmas.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 1 | 2019-06-12T11:07:37.000Z | 2019-06-12T11:07:37.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from builtins import str
from builtins import object
from qgis.core import QgsProject,QgsMapLayer,QgsVectorLayer,QgsDataProvider,QgsDataSourceUri
from PyQt5.QtCore import Qt
class run(object):
def __init__(self, id, gtotool, config, debug):
super(run, self).__ini... | 47.276316 | 111 | 0.473421 |
69921522f5e14e4cc8e303e1e9e6565eaba46d23 | 635 | py | Python | _Dist/NeuralNetworks/_Tests/Madelon/MadelonUtil.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | _Dist/NeuralNetworks/_Tests/Madelon/MadelonUtil.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | _Dist/NeuralNetworks/_Tests/Madelon/MadelonUtil.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | import os
import sys
root_path = os.path.abspath("../../../../")
if root_path not in sys.path:
sys.path.append(root_path)
import numpy as np
import matplotlib.pyplot as plt
plt.switch_backend("Qt5Agg")
from _Dist.NeuralNetworks.NNUtil import Toolbox
def get_madelon():
with open(os.path.join(root_path, "_Dat... | 28.863636 | 76 | 0.656693 |
38995ecf58067f7ae70ff281709236de19149c49 | 302 | py | Python | exercises/ja/solution_02_07.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/ja/solution_02_07.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/ja/solution_02_07.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("ja_core_news_sm")
doc = nlp("ベルリンはいい街だと思う")
# すべてのトークンの文字列と品詞タグを取得
for token in doc:
# 現在のトークンが固有名詞かどうかをチェック
if token.pos_ == "PROPN":
# 次のトークンが設置詞かどうかをチェック
if doc[token.i + 1].pos_ == "ADP":
print("設置詞の前の固有名詞が見つかりました:", token.text)
| 23.230769 | 52 | 0.649007 |
aa8feb43c78b79bd53f28566f2a9d48b0f532b1c | 15,085 | py | Python | 100_parse_csv_stud (1).py | Patsch36/ProjektMichaela-Rebecca-Tim | ca21d117b5073d1e91943bdfdb4a55ccaa628e64 | [
"Apache-2.0"
] | null | null | null | 100_parse_csv_stud (1).py | Patsch36/ProjektMichaela-Rebecca-Tim | ca21d117b5073d1e91943bdfdb4a55ccaa628e64 | [
"Apache-2.0"
] | null | null | null | 100_parse_csv_stud (1).py | Patsch36/ProjektMichaela-Rebecca-Tim | ca21d117b5073d1e91943bdfdb4a55ccaa628e64 | [
"Apache-2.0"
] | null | null | null | import csv # Import Daten aus meiner Excel
import turtle # Import Bibliothek
from pathlib import Path # Import Bibliothek
DEBUG_INFO =... | 61.321138 | 207 | 0.504607 |
2ac4201894e5ac1c60491201352c7884cad5cca9 | 350 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 34/34.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | 50-Python-Exercises/Exercises/Exercise 34/34.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | 50-Python-Exercises/Exercises/Exercise 34/34.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #The script throws an error (when global c is not there). Fix it so that the script prints the value assigned to c inside the function
#A: Add "global c" before "c=1".
#C: Worth mentioning that if you remove foo(), variable c will come as undifined because the function has not been run
def foo():
#global c
c = ... | 35 | 134 | 0.708571 |
879a6967b58d9968e68cc147ac668ee3ceb60aa8 | 3,683 | py | Python | Question2.py | LuisGMM/Num-Lab | 69e41628a14c7b3ea94be44c78653592fe5891cc | [
"MIT"
] | null | null | null | Question2.py | LuisGMM/Num-Lab | 69e41628a14c7b3ea94be44c78653592fe5891cc | [
"MIT"
] | null | null | null | Question2.py | LuisGMM/Num-Lab | 69e41628a14c7b3ea94be44c78653592fe5891cc | [
"MIT"
] | null | null | null |
from datetime import datetime
from matplotlib.patches import Rectangle
from algorithm import *
def start_plot():
global fig, ax, line
fig = plt.figure()
ax = plt.axes(xlim=(-2, 15), ylim=(0, 0.005))
line, = ax.plot([], [])
def init():
line.set_data([], [])
return line,
... | 27.080882 | 117 | 0.587021 |
87c0cd9dcc794e00835b27fedaa104f6f4a43951 | 1,375 | py | Python | Persistence/gitdescribe.py | jonaes/ds100bot | 79a646114400c5c8d21ff21376276a8d380b031f | [
"Apache-2.0"
] | 15 | 2019-12-20T08:24:31.000Z | 2022-03-18T09:24:25.000Z | Persistence/gitdescribe.py | jonaes/ds100bot | 79a646114400c5c8d21ff21376276a8d380b031f | [
"Apache-2.0"
] | 124 | 2020-04-20T04:36:49.000Z | 2022-01-29T11:08:09.000Z | Persistence/gitdescribe.py | jonaes/ds100bot | 79a646114400c5c8d21ff21376276a8d380b031f | [
"Apache-2.0"
] | 12 | 2020-07-08T22:19:39.000Z | 2022-03-19T09:13:11.000Z | # pylint: disable=C0114
from GitVersion import Git
git_object = Git()
def get_last_hash(sql):
sql.cursor.execute("""
SELECT
content
FROM
last
WHERE
subject = 'githash'
""")
row = sql.cursor.fetchone()
if row is None:
return None
... | 23.706897 | 76 | 0.532364 |
3565de32d1cf86a7257ab65d8cf8e0ad696edc7a | 293 | py | Python | rm_xls.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | rm_xls.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | rm_xls.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | import os
file_path = '/home/zxt2000/share_plat_standard/xdr_build/linux'
os.chdir(file_path)
print os.getcwd()
files = os.listdir(file_path)
for file in files:
if os.path.splitext(file)[1]=='.xls':
os.system('rm '+file)
print 'rm ' ,file
print 'all xls files deleted!' | 20.928571 | 63 | 0.679181 |
359c834c2c33e6a41d9b9a12915c48e526d0f39b | 701 | py | Python | workSpace/test/rfid.py | fibeule/Micropython-Tutorial-for-esp32 | eea251efd7b7b6b15af96f6f84d3281e1119234a | [
"MIT"
] | 5 | 2018-07-24T17:41:15.000Z | 2021-02-07T13:59:42.000Z | workSpace/test/rfid.py | fibeule/Micropython-Tutorial-for-esp32 | eea251efd7b7b6b15af96f6f84d3281e1119234a | [
"MIT"
] | null | null | null | workSpace/test/rfid.py | fibeule/Micropython-Tutorial-for-esp32 | eea251efd7b7b6b15af96f6f84d3281e1119234a | [
"MIT"
] | 5 | 2018-07-24T17:41:03.000Z | 2021-10-01T07:06:16.000Z | from machine import Pin, SPI
from lib.rfid.mfrc522 import MFRC522
from time import sleep_ms
# SPI-BUS INIT
sck = Pin(18, Pin.OUT)
mosi = Pin(23, Pin.OUT)
miso = Pin(19, Pin.OUT)
sda = Pin(5, Pin.OUT)
spi = SPI(baudrate=100000, polarity=0, phase=0, sck=sck, mosi=mosi, miso=miso)
try:
while True:
rdr = MFRC... | 28.04 | 95 | 0.577746 |
ea81f12f4c1760826e9b7d20d66089169ef40a1a | 13,007 | py | Python | Scripts/testInputs.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 40 | 2016-09-13T12:54:11.000Z | 2021-09-05T18:45:38.000Z | Scripts/testInputs.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 351 | 2016-08-10T17:58:38.000Z | 2021-09-15T12:19:48.000Z | Scripts/testInputs.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 32 | 2016-09-09T16:04:01.000Z | 2021-01-21T13:27:40.000Z | #! /usr/bin/env python
import yaml
import glob
import sys
import json
import requests
from copy import deepcopy
import jsonschema
from jsonschema import validate
import dereferenceAll
def replaceIDs(url):
newURL = url
newURL = newURL.replace('{studyDbId}', '1001')
newURL = newURL.replace('{mapDbId}', 'gm1')
newU... | 26.383367 | 86 | 0.478665 |
a4c5e55813a09abfeeb49609b2b5d44bd60fe6a2 | 154,162 | py | Python | DHParser/syntaxtree.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 2 | 2020-12-25T19:37:42.000Z | 2021-03-26T04:59:12.000Z | DHParser/syntaxtree.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 6 | 2018-08-07T22:48:52.000Z | 2021-10-07T18:38:20.000Z | DHParser/syntaxtree.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | null | null | null | # syntaxtree.py - syntax tree classes for DHParser
#
# Copyright 2016 by Eckhart Arnold (arnold@badw.de)
# Bavarian Academy of Sciences an Humanities (badw.de)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ma... | 42.028899 | 164 | 0.61233 |
dcbaaabc7eb162eb46c647e2957a00598b79d9ab | 38,538 | py | Python | python_gui_tkinter/Combinatorics-1.4.5/combinatorics.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/Combinatorics-1.4.5/combinatorics.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/Combinatorics-1.4.5/combinatorics.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | """ combinatorics.py
OVERVIEW
========
This module was created to supplement Python's itertools module, filling in gaps
in the following areas of basic combinatorics:
(A) ordered and unordered m-way combinations,
(B) generalizations of the four basic occupancy problems ('balls in boxes'), and
(C) constrained permu... | 34.104425 | 80 | 0.698531 |
522b113148b15e8486a5328542f380015f3967dc | 387 | py | Python | exercises/ja/test_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/ja/test_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/ja/test_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert "token_text = token.text" in __solution__, "トークンの文字列をちゃんと取得していますか？"
assert (
"token_pos = token.pos_" in __solution__
), "トークンの品詞タグをちゃんと取得していますか？文字列属性を取得するには、アンダースコアを用いることを忘れないでください。"
assert (
"token_dep = token.dep_" in __solution__
), "トークンの依存関係ラベルをちゃんと取得していますか？文... | 38.7 | 78 | 0.718346 |
5eae7627574ce65a83a9dcb85e221f19f44bb177 | 369 | py | Python | mysql_with_config/test.py | MilovanTomasevic/stackoverflow | 472d207cc839389ae877233bccacc4b27474c844 | [
"MIT"
] | null | null | null | mysql_with_config/test.py | MilovanTomasevic/stackoverflow | 472d207cc839389ae877233bccacc4b27474c844 | [
"MIT"
] | null | null | null | mysql_with_config/test.py | MilovanTomasevic/stackoverflow | 472d207cc839389ae877233bccacc4b27474c844 | [
"MIT"
] | null | null | null | from python_mysql_dbconfig import read_db_config
from db_lib import MySQLDataBase
if __name__ == "__main__":
conn = MySQLDataBase().connection(read_db_config())
cursor = conn.cursor()
cursor.execute("SELECT VERSION()")
row = cursor.fetchone()
print("Server version:", row[0])
cursor.close()
... | 21.705882 | 55 | 0.691057 |
21c1681dc0df5bca242966208d3e4531ba4ec5f3 | 21,738 | py | Python | svgtemplate.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 1 | 2018-12-15T04:07:38.000Z | 2018-12-15T04:07:38.000Z | svgtemplate.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 14 | 2015-01-02T10:37:33.000Z | 2021-10-03T13:42:15.000Z | svgtemplate.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 1 | 2018-12-15T04:07:40.000Z | 2018-12-15T04:07:40.000Z | #!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
# PYTHON_ARGCOMPLETE_OK
"""
SVG Templating System (C) Max Gaukler 2013
with additions and redesigns by members of the FAU FabLab
unlimited usage allowed, see LICENSE file
"""
from lxml import etree
from copy import deepcopy
import inspect
import StringIO
import re
from... | 40.937853 | 150 | 0.591545 |
10d6546f801e49db91dacf6fab85dc464e539739 | 1,399 | py | Python | src/onegov/wtfs/models/municipality.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/wtfs/models/municipality.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/wtfs/models/municipality.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.orm.mixins import meta_property
from onegov.core.orm.mixins import TimestampMixin
from onegov.user import UserGroup
from onegov.wtfs.models.payment_type import PaymentType
from sqlalchemy.orm import object_session
class Municipality(UserGroup, TimestampMixin):
""" A municipality / user group. """... | 29.145833 | 67 | 0.664046 |
1d4763f5507fc80dde74b19790588508c06d37e8 | 436 | py | Python | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/15.02-Multiple-Inheritance.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/15.02-Multiple-Inheritance.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/15.02-Multiple-Inheritance.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | class A:
def feature1(self):
print("Feature 1 working")
def feature2(self):
print("Feature 2 working")
class B:
def feature3(self):
print("Feature 3 working")
def feature4(self):
print("Feature 4 working")
class C(A, B):
def feature5(self):
print("Featur... | 14.533333 | 34 | 0.580275 |
634a08c2c7633bb53fc9309565334e74e6dc1b61 | 6,596 | py | Python | sdiff/parser.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2016-05-10T13:57:14.000Z | 2016-09-29T21:01:53.000Z | sdiff/parser.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2015-10-20T22:29:37.000Z | 2022-01-18T18:20:06.000Z | sdiff/parser.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 1 | 2016-11-05T04:23:05.000Z | 2016-11-05T04:23:05.000Z | from typing import Match, Type
import mistune
import re
from .model import *
class InlineLexer(mistune.BlockLexer):
grammar_class = mistune.InlineGrammar
default_rules = [
'linebreak', 'link',
'reflink', 'text',
]
def __init__(self):
self.links = {}
self.grammar_cla... | 29.846154 | 107 | 0.562614 |
89ab2e593f760090827840569824c1e173c41338 | 41,573 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/contributed/sumopy/agilepy/lib_base/arrayman.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/contributed/sumopy/agilepy/lib_base/arrayman.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/contributed/sumopy/agilepy/lib_base/arrayman.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | # Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2016-2020 German Aerospace Center (DLR) and others.
# SUMOPy module
# Copyright (C) 2012-2017 University of Bologna - DICAM
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public ... | 35.231356 | 137 | 0.565944 |
9837a8ec7d2699861e4345b5d2536afa1004908d | 420 | py | Python | euler10hacker.py | akashsharma99/2ndSemPractise | ba854e8ef5089ad627cee6f7c8828b711437affa | [
"MIT"
] | null | null | null | euler10hacker.py | akashsharma99/2ndSemPractise | ba854e8ef5089ad627cee6f7c8828b711437affa | [
"MIT"
] | null | null | null | euler10hacker.py | akashsharma99/2ndSemPractise | ba854e8ef5089ad627cee6f7c8828b711437affa | [
"MIT"
] | null | null | null |
prime=[1] * 1000001
sum=[0] * 1000001
prime[0],prime[1]=0,0
#ensures that multiples of one are not traversed unlike previously where i had prime[1] as true
for p,pri in enumerate(prime):
if (pri):
sum[p]=sum[p-1]+p
i=p*p
while(i<=1000000):
prime[i]=0
i+=p
else:
... | 21 | 95 | 0.55 |
f6f1279c7d5995ecb362e8dab66727cf1b439a00 | 58 | py | Python | python/python_backup/PRAC_PYTHON/20_test2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/20_test2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/20_test2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | f=1
a=0
for i in range(10000):
a=i+1
f=f*a
print(f) | 9.666667 | 23 | 0.551724 |
6165360d5e47b7f7c15626496204f96295d4fd5c | 9,770 | py | Python | cloudmesh/volume/Provider.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-12T09:49:53.000Z | 2020-03-12T09:49:53.000Z | cloudmesh/volume/Provider.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-25T00:47:12.000Z | 2020-03-30T23:32:00.000Z | cloudmesh/volume/Provider.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 5 | 2020-02-20T01:04:24.000Z | 2020-05-05T14:36:30.000Z | from cloudmesh.common.Printer import Printer
from cloudmesh.common.console import Console
from cloudmesh.common.variables import Variables
from cloudmesh.configuration.Config import Config
from cloudmesh.mongo.DataBaseDecorator import DatabaseUpdate
from cloudmesh.mongo.CmDatabase import CmDatabase
# class Provider(V... | 31.824104 | 79 | 0.552098 |
144ec34e8ae1877a2f28c87fcae0c41eb72dbd3a | 730 | py | Python | Union/2021/misc/ASMRNet/speech_embedder_net.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | Union/2021/misc/ASMRNet/speech_embedder_net.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | Union/2021/misc/ASMRNet/speech_embedder_net.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | import torch
import torch.nn as nn
import hparam as hp
class SpeechEmbedder(nn.Module):
def __init__(self):
super(SpeechEmbedder, self).__init__()
self.LSTM_stack = nn.LSTM(hp.nmels, hp.hidden, num_layers=hp.num_layer, batch_first=True)
for name, param in self.LSTM_stack.named_parameters()... | 31.73913 | 97 | 0.606849 |
371b002d4b059fe343bcd20e70692499b5412db5 | 835 | py | Python | rtcmadd1008.py | aortner/RpiNtripBase | ed1d9abcc1c8294c6811b5360703dd3e37acd1c9 | [
"MIT"
] | 1 | 2019-10-19T09:54:22.000Z | 2019-10-19T09:54:22.000Z | rtcmadd1008.py | ropecope/RpiNtripBase | b4b49d6a3dd507379bf115304288ee760ee204ef | [
"MIT"
] | null | null | null | rtcmadd1008.py | ropecope/RpiNtripBase | b4b49d6a3dd507379bf115304288ee760ee204ef | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
while True:
data = sys.stdin.buffer.read(1)
while (data != b'\xd3'):
data = sys.stdin.buffer.read(1)
length_data = sys.stdin.buffer.read(2)
length = (length_data[0] << 8) + length_data[1]
packet_data = sys.stdin.buffer.read(length)
crc24_data ... | 28.793103 | 102 | 0.637126 |
d3a1214d19276a425c3c987961b853eaa0e19b40 | 1,176 | py | Python | myems-cleaning/config.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 82 | 2021-02-19T10:24:31.000Z | 2022-03-28T06:30:18.000Z | myems-cleaning/config.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 188 | 2021-02-22T07:08:30.000Z | 2022-03-02T04:11:03.000Z | myems-cleaning/config.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 54 | 2021-02-19T08:48:46.000Z | 2022-03-30T06:21:34.000Z | from decouple import config
myems_system_db = {
'host': config('MYEMS_SYSTEM_DB_HOST', default='127.0.0.1'),
'port': config('MYEMS_SYSTEM_DB_PORT', default=3306, cast=int),
'database': config('MYEMS_SYSTEM_DB_DATABASE', default='myems_system_db'),
'user': config('MYEMS_SYSTEM_DB_USER', default='root')... | 43.555556 | 87 | 0.738946 |
6cbd48e493cbd0ff5231d38783c2be0961d2bad6 | 3,550 | py | Python | tests/onegov/election_day/screen_widgets/test_generic_widgets.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/screen_widgets/test_generic_widgets.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/screen_widgets/test_generic_widgets.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from chameleon import PageTemplate
from lxml import etree
from onegov.core.utils import Bunch
from onegov.core.widgets import inject_variables
from onegov.core.widgets import transform_structure
from onegov.election_day.screen_widgets import ColumnWidget
from onegov.election_day.screen_widgets import H1Widget
from oneg... | 28.629032 | 62 | 0.581972 |
9f16c82e7b0ef49cb9b6111ddd06054b95d54a56 | 2,595 | py | Python | project/api/place/schemas.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | project/api/place/schemas.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | project/api/place/schemas.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | from marshmallow import fields, validate
from project.api import marshmallow
from project.api.fields import Owned
from project.api.image.schemas import ImageDumpSchema, ImageSchema
from project.api.location.schemas import (
LocationDumpSchema,
LocationPatchRequestSchema,
LocationPostRequestSchema,
Loca... | 27.903226 | 85 | 0.761079 |
2c4a9ce9f59cd1eb53e5e8f6235e2d8b0c6057e1 | 282 | wsgi | Python | marsyas-vamp/marsyas/src/django/birdsong/apache/django.wsgi | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/apache/django.wsgi | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/apache/django.wsgi | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | import os
import sys
sys.path.append('/var/www/calls/application')
os.environ['PYTHON_EGG_CACHE'] = '/home/sness/dDEV/calls/.python-egg'
os.environ['DJANGO_SETTINGS_MODULE'] = 'calls.settings'
import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler() | 28.2 | 69 | 0.780142 |
391e22e75296f081b787d2c1a61bc25451566c05 | 244 | py | Python | Licence 1/I11/TP4/ex5.2.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I11/TP4/ex5.2.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I11/TP4/ex5.2.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | semaine = [
"lundi",
"mardi",
"mercredi",
"jeudi",
"vendredi",
"samedi",
"dimanche"
]
calendOct18 = []
for i in range(1, 32):
calendOct18 += [semaine[i % 7 - 1] + " " + str(i) + " octobre"]
print(calendOct18)
| 14.352941 | 67 | 0.512295 |
1a9fe0975085027f0f442410d4acfbb90e357f8a | 2,683 | py | Python | ppyt/const.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 4 | 2016-08-16T07:47:15.000Z | 2017-12-11T10:08:47.000Z | ppyt/const.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | null | null | null | ppyt/const.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 2 | 2018-06-15T04:43:15.000Z | 2020-05-02T07:47:15.000Z | # coding: utf-8
import os
# ディレクトリ関連を定義します。
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
PRJ_DIR = os.path.dirname(BASE_DIR)
RULEFILE_DIR = os.path.join(PRJ_DIR, 'rules') # ruleファイルの置き場所
FILTERFILE_DIR = os.path.join(PRJ_DIR, 'filters') # filterファイルの置き場所
DATA_DIR = os.path.join(PRJ_DIR, 'data')
DATA_DIR_STO... | 24.842593 | 68 | 0.764443 |
80c7c4f93371cbf7f927339e0eeb38e82e49ba6e | 17,962 | py | Python | Packs/PhishLabs/Integrations/PhishLabsIOC_DRP/PhishLabsIOC_DRP_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/PhishLabs/Integrations/PhishLabsIOC_DRP/PhishLabsIOC_DRP_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/PhishLabs/Integrations/PhishLabsIOC_DRP/PhishLabsIOC_DRP_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import pytest
from freezegun import freeze_time
"""Helper functions and fixrtures"""
def load_params_from_json(json_path, type=''):
with open(json_path) as f:
file = json.load(f)
if type == "incidents":
for incident in file:
incident['rawJSON'] = json.dumps(incident.ge... | 70.164063 | 125 | 0.655829 |
03b0c4aebe323ae8aeb1998ac96a0195fa9b4cbb | 221 | py | Python | WD/Cwiczenia/FunkcjaJedenPrzezX.py | galursa/UWM | b7ab4a275662764a91af6c5bc79da0d98177d0ac | [
"MIT"
] | 1 | 2020-02-29T14:38:33.000Z | 2020-02-29T14:38:33.000Z | WD/Cwiczenia/FunkcjaJedenPrzezX.py | galursa/UWM | b7ab4a275662764a91af6c5bc79da0d98177d0ac | [
"MIT"
] | null | null | null | WD/Cwiczenia/FunkcjaJedenPrzezX.py | galursa/UWM | b7ab4a275662764a91af6c5bc79da0d98177d0ac | [
"MIT"
] | null | null | null | #Generujemy zbior liczb postaci 1/x, gdzie x jest całkowite z przedziału(0,9]
#Do tego celu zdefiniujemy funkcję
def JedenPrzezX():
Zbior = [1/x for x in range(1,10)]
return Zbior
print(JedenPrzezX())
| 22.1 | 78 | 0.687783 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.