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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3932e6eb9aa4bfa623bd77834f1784a91f85204d | 2,419 | py | Python | _includes/snippets/python/monkey-patching/dynamic_init.py | MarauderXtreme/justus | 229703abda2bd90d34232c97c64999c216d98239 | [
"CC-BY-4.0"
] | 1 | 2020-02-02T16:09:43.000Z | 2020-02-02T16:09:43.000Z | _includes/snippets/python/monkey-patching/dynamic_init.py | MarauderXtreme/justus | 229703abda2bd90d34232c97c64999c216d98239 | [
"CC-BY-4.0"
] | 1 | 2021-09-02T11:07:53.000Z | 2021-09-02T11:07:53.000Z | _includes/snippets/python/monkey-patching/dynamic_init.py | MarauderXtreme/justus | 229703abda2bd90d34232c97c64999c216d98239 | [
"CC-BY-4.0"
] | null | null | null | #! /usr/bin/env python3
def auto_init(class_):
def filter_func(fieldname):
"""
Return True if the field is not private and its value is a type
"""
if fieldname.startswith('_'):
return False
value = getattr(class_, fieldname)
return isinstan... | 24.19 | 76 | 0.54692 |
1a2fd60e4d1beee6888ddba7ed6af1def3c7d255 | 1,628 | py | Python | src/onegov/form/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/form/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/form/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger('onegov.form') # noqa
log.addHandler(logging.NullHandler()) # noqa
from translationstring import TranslationStringFactory
_ = TranslationStringFactory('onegov.form') # noqa
from onegov.form.collection import (
FormCollection,
FormSubmissionCollection,
FormDefiniti... | 25.4375 | 73 | 0.743857 |
649dc38cae305fdb7723c693fb8942a9684fcdf9 | 891 | py | Python | Code/inv_func_2d.py | knirschl/Proseminar-Anthropomatik | 0408e54cf220c40a6f3deae6ae8d38c5f1f4f387 | [
"MIT"
] | null | null | null | Code/inv_func_2d.py | knirschl/Proseminar-Anthropomatik | 0408e54cf220c40a6f3deae6ae8d38c5f1f4f387 | [
"MIT"
] | null | null | null | Code/inv_func_2d.py | knirschl/Proseminar-Anthropomatik | 0408e54cf220c40a6f3deae6ae8d38c5f1f4f387 | [
"MIT"
] | null | null | null | import numpy as np
import inv_func_1d as idf
'''
Stack two arrays together as x, y value
'''
def stack(L, L_):
return np.stack((L, L_), axis=1)
def expo_expo_inv(U):
return stack(idf.expo_inv(U[:, 0]),
idf.expo_inv(U[:, 1]))
def expo_logistic_inv(U):
return stack(idf.expo_inv(U[:, 0]),
... | 26.205882 | 74 | 0.556678 |
207ac4d7788a46983ce4cbc10e24c993a788b6f1 | 368 | py | Python | pws/keys.py | zamys/pws | b26ddb12cbbb00ef3a337d8b5a8ef7dc051d4b13 | [
"MIT"
] | null | null | null | pws/keys.py | zamys/pws | b26ddb12cbbb00ef3a337d8b5a8ef7dc051d4b13 | [
"MIT"
] | null | null | null | pws/keys.py | zamys/pws | b26ddb12cbbb00ef3a337d8b5a8ef7dc051d4b13 | [
"MIT"
] | null | null | null | #imports
import json
#Twitter API Keys
class GetKeys:
def __init__(self):
with open('pws/keys.json') as keys:
key = json.load(keys)
self.consumer = key['consumer']
self.consumer_secret = key['consumer_secret']
self.access_token = key['access_token']
self.ac... | 23 | 61 | 0.63587 |
4452cbe3737b16947e82b62213d3dc770acaaee8 | 2,171 | py | Python | gamedeals-bot-master/gamedealsbot.py | jaakaappi/archived-projects | be1f754eca7c1434f3a363b0ea8ebcd190a42436 | [
"MIT"
] | null | null | null | gamedeals-bot-master/gamedealsbot.py | jaakaappi/archived-projects | be1f754eca7c1434f3a363b0ea8ebcd190a42436 | [
"MIT"
] | 3 | 2021-03-10T13:18:31.000Z | 2021-05-11T09:20:11.000Z | gamedeals-bot-master/gamedealsbot.py | jaakaappi/archived-projects | be1f754eca7c1434f3a363b0ea8ebcd190a42436 | [
"MIT"
] | null | null | null | import discord
import os
import json
import models
import traceback
from sqlalchemy.orm import sessionmaker, exc
from datetime import datetime
def import_config():
try:
with open(os.path.join(os.getcwd(), 'config.json')) as file:
return json.loads(file.read()), file
except OSError as erro... | 38.087719 | 115 | 0.662368 |
a622f8018b4b36b5ba9c48bc3e1d186fa0809924 | 3,805 | py | Python | DataProcess/tagPair/phase_tag_pair.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/tagPair/phase_tag_pair.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/tagPair/phase_tag_pair.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | import matplotlib
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from myunwrap import unwrap
from filters import hampel
from pre_purpose import deal_zero_phase
import seaborn as sns
from base_list import *
import sys
import math
def deal_data(count):
# if __name__ == '__main__':
# count = ... | 31.446281 | 108 | 0.567411 |
751697df24eeb7e44e3574766c8d56e069976f01 | 4,253 | py | Python | research/cv/arcface/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/arcface/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/arcface/src/loss.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... | 34.298387 | 78 | 0.629908 |
fcaa9e951a468248b70cbbda530fcaf4e8377c9a | 391 | py | Python | Webpage/utils/keycloak_f/utils.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | Webpage/utils/keycloak_f/utils.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | 46 | 2022-01-08T12:03:24.000Z | 2022-03-30T08:51:05.000Z | Webpage/utils/keycloak_f/utils.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null |
def set_aktiv(id: str, keycloak_admin):
try:
keycloak_admin.update_user(user_id=id,
payload={'enabled': 'True'})
except Exception as e:
print(id)
print(e)
def sendPasswordToKeycloak(id: str, password: str, keycloak_admin):
keycloak... | 27.928571 | 83 | 0.616368 |
94acbdd92757e38ae511c2fee99d5d9cd33d3658 | 2,722 | py | Python | scripts/mvb01_generate_validation.py | MahamadSalah/matbench | 2d6d804ee8a43731feecf8ed90ad915c917ed790 | [
"MIT"
] | 15 | 2021-11-01T09:02:19.000Z | 2022-03-19T10:59:41.000Z | scripts/mvb01_generate_validation.py | MahamadSalah/matbench | 2d6d804ee8a43731feecf8ed90ad915c917ed790 | [
"MIT"
] | 62 | 2021-09-20T14:09:59.000Z | 2022-03-30T19:03:22.000Z | scripts/mvb01_generate_validation.py | ardunn/matbench | 7d11a2d63766339ec00e610e2255be29b81544d3 | [
"MIT"
] | 4 | 2021-03-22T10:37:42.000Z | 2021-07-20T14:11:28.000Z | import os
import json
from monty.serialization import dumpfn
from sklearn.model_selection import KFold, StratifiedKFold
from matbench.data_ops import load
from matbench.constants import REG_KEY, CLF_KEY, VALIDATION_METADATA_KEY, VALIDATION_SPLIT_KEY, TRAIN_KEY, TEST_KEY
from matbench.metadata import mbv01_metadata
i... | 26.950495 | 115 | 0.59662 |
78697401f53d7f4f88ab69c2e41f79128232c984 | 1,859 | py | Python | venv/Lib/site-packages/pynance/data/compare.py | LeonardoHMS/imobi | 6b2b97a05df67ea7d493f7b601382f65c6629cc2 | [
"MIT"
] | 35 | 2015-03-12T04:16:14.000Z | 2020-12-17T18:10:15.000Z | venv/Lib/site-packages/pynance/data/compare.py | LeonardoHMS/imobi | 6b2b97a05df67ea7d493f7b601382f65c6629cc2 | [
"MIT"
] | 31 | 2015-03-16T21:31:04.000Z | 2021-01-26T00:12:34.000Z | venv/Lib/site-packages/pynance/data/compare.py | LeonardoHMS/imobi | 6b2b97a05df67ea7d493f7b601382f65c6629cc2 | [
"MIT"
] | 18 | 2015-09-30T10:40:26.000Z | 2021-01-25T21:20:44.000Z | """
.. Copyright (c) 2016 Marshall Farrier
license http://opensource.org/licenses/MIT
Data - compare (:mod:`pynance.data.compare`)
=================================================
.. currentmodule:: pynance.data.compare
"""
import numpy as np
import pandas as pd
def compare(eq_dfs, columns=None, selection='Clos... | 29.507937 | 92 | 0.618612 |
1537b4a9fe558ffb912af8d0b9fff2babf4a563d | 75 | py | Python | rmpflow_using_class/n_test.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | rmpflow_using_class/n_test.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | rmpflow_using_class/n_test.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null |
class A:
def __init__(self, ):
x = 1
a = A
print(a.x) | 9.375 | 26 | 0.426667 |
ecec11189299a2d843ca44ebe5df3217f738689b | 406 | py | Python | test_kazoeciao.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | test_kazoeciao.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | test_kazoeciao.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | from ciaoutil import *
kazoeciao_config.ciao_path("D:/home/Tools/kazoeciao158")
kazoeciao_config.load_config_system()
kazoeciao_config.load_config_autorun()
if True:
kazoeciao_config.compare_path(
"D:/home/Python/python_sandbox/test/kazoeciao_cmp_test/before",
"D:/home/Python/python_sandbox/test/kazoeciao_cmp_te... | 27.066667 | 65 | 0.810345 |
01b93c907966b8a03f48827e7607c4139d5103e2 | 500 | py | Python | 7-assets/_SNIPPETS/bryan-guner-gists/_python/file_to_string.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/_SNIPPETS/bryan-guner-gists/_python/file_to_string.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/_SNIPPETS/bryan-guner-gists/_python/file_to_string.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
filename = sys.argv[1]
# These do not remove \n
with open(filename) as f:
s = ''.join(f.readlines())
with open(filename) as f:
s = ''.join(f)
with open(filename) as f:
s = f.read() # Fastest according to my tests.
# These remove \n
with open(filename) as f:
s = ' ... | 19.230769 | 54 | 0.602 |
01db8be11f9f236ded0863f3b2a86ba2b8a87b32 | 527 | py | Python | crawlab/routes/schedules.py | anhilo/crawlab | 363f4bf7a4ccc192a99850998c1bd0fc363832a1 | [
"BSD-3-Clause"
] | 1 | 2019-08-20T14:26:39.000Z | 2019-08-20T14:26:39.000Z | crawlab/routes/schedules.py | anhilo/crawlab | 363f4bf7a4ccc192a99850998c1bd0fc363832a1 | [
"BSD-3-Clause"
] | 9 | 2019-05-24T03:53:09.000Z | 2022-02-26T10:53:48.000Z | crawlab/routes/schedules.py | anhilo/crawlab | 363f4bf7a4ccc192a99850998c1bd0fc363832a1 | [
"BSD-3-Clause"
] | 1 | 2019-11-08T08:12:40.000Z | 2019-11-08T08:12:40.000Z | import json
import requests
from constants.task import TaskStatus
from db.manager import db_manager
from routes.base import BaseApi
from tasks.scheduler import scheduler
from utils import jsonify
from utils.spider import get_spider_col_fields
class ScheduleApi(BaseApi):
col_name = 'schedules'
arguments = (... | 20.269231 | 46 | 0.666034 |
bd55da687c3ff1c13edf681073a8631b8e6e5e84 | 3,605 | py | Python | app/models/abtms/User.py | nucleo-de-telessaude-do-maranhao/abtms | 8d1b1df223d9f07fc4447836011f3e3678625d59 | [
"MIT"
] | null | null | null | app/models/abtms/User.py | nucleo-de-telessaude-do-maranhao/abtms | 8d1b1df223d9f07fc4447836011f3e3678625d59 | [
"MIT"
] | null | null | null | app/models/abtms/User.py | nucleo-de-telessaude-do-maranhao/abtms | 8d1b1df223d9f07fc4447836011f3e3678625d59 | [
"MIT"
] | 1 | 2019-03-13T14:34:24.000Z | 2019-03-13T14:34:24.000Z | from app.models.auth.DatabaseFactory import DatabaseFactory
class User():
def __init__(self, code=0, name="", email="", password=""):
self.code = code
self.name = name
self.email = email
self.password = password
self.connection = DatabaseFactory().getConnection()
def getAllAdmins(self):
wi... | 24.691781 | 159 | 0.608599 |
da2bae94ac3cfe981506d6235438358cb02ee52b | 3,283 | py | Python | Beginner/03. Python/Tic-tac-toe.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | 1 | 2021-10-04T05:41:43.000Z | 2021-10-04T05:41:43.000Z | Beginner/03. Python/Tic-tac-toe.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | null | null | null | Beginner/03. Python/Tic-tac-toe.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | null | null | null | #According to wikipidea Tic-tac-toe or Xs and Os, is a paper-and-pencil game for two players,
#X and O, who take turns marking the spaces in a 3×3 grid.
#The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row is the winner.
#
print("Tic-Tac-Toe!")
print("Welcome...")
TicTacT... | 26.909836 | 124 | 0.519647 |
da405e79be9c7a55e83472d1e84e082d11db3205 | 3,810 | py | Python | dataprepare.py | PMingEli/FDSR | 73563b5e148647fff2712602b1fc8720b8739589 | [
"MIT"
] | null | null | null | dataprepare.py | PMingEli/FDSR | 73563b5e148647fff2712602b1fc8720b8739589 | [
"MIT"
] | null | null | null | dataprepare.py | PMingEli/FDSR | 73563b5e148647fff2712602b1fc8720b8739589 | [
"MIT"
] | null | null | null | import numpy as np
import argparse
import glob
from imageio import imread
parser = argparse.ArgumentParser()
parser.add_argument('--train_rgb_files', default='./data/images/train/*.jpg', help='folder name of train rgb image')
parser.add_argument('--test_rgb_files', default='./data/images/test/*.jpg', help='fo... | 33.130435 | 122 | 0.684514 |
6b7b34639844955c3aebbf797a8a0b1ad4555353 | 220 | py | Python | 169-majority-element/169-majority-element.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 169-majority-element/169-majority-element.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 169-majority-element/169-majority-element.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def majorityElement(self, nums: List[int]) -> int:
N = len(nums)
uniq_Ns = set(nums[:int(N+1/2)])
for n in uniq_Ns:
if nums.count(n)>(N/2):
return n | 31.428571 | 54 | 0.504545 |
6bcb87e805d0f10aaeedc187fd2c376a7390af2d | 9,271 | py | Python | setsolver/image_detection/card_recognition.py | vidagy/setsolver | 1d69dc33768ddb5b2110b6321106947de87cb7ac | [
"Apache-2.0"
] | null | null | null | setsolver/image_detection/card_recognition.py | vidagy/setsolver | 1d69dc33768ddb5b2110b6321106947de87cb7ac | [
"Apache-2.0"
] | null | null | null | setsolver/image_detection/card_recognition.py | vidagy/setsolver | 1d69dc33768ddb5b2110b6321106947de87cb7ac | [
"Apache-2.0"
] | null | null | null | import math
from typing import Any, List, Optional
import cv2
import numpy as np
from scipy.spatial import distance
from setsolver.card import Card
from setsolver.properties import Color, Count, Fill, Shape
class CardRecognition:
def __init__(self, img=None):
self._img = img
self._processed_imag... | 37.686992 | 78 | 0.537914 |
2e61c895be180f69b2b42fbf6a8db98850e46942 | 16,310 | py | Python | tests/test_ag.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 1 | 2021-03-09T21:37:41.000Z | 2021-03-09T21:37:41.000Z | tests/test_ag.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 4 | 2020-11-13T19:34:58.000Z | 2021-07-24T16:25:27.000Z | tests/test_ag.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 1 | 2020-08-24T14:38:18.000Z | 2020-08-24T14:38:18.000Z | # Copyright (c) 2020 | KingKevin23 (@kingkevin023)
import json
from unittest import TestCase
from datetime import datetime, date
from agspiel.api.ag import Ag
from agspiel.api.data import Data
from agspiel.api.ceo import Ceo
from agspiel.api.aktie import Aktie, Aktionaer
from agspiel.api.kapitalmassnahme import Kapit... | 41.291139 | 135 | 0.679644 |
d8be76b019c537e8f949871a810f8eb8deeb1d05 | 1,381 | py | Python | simple-sklearn-demo/test1/standardizationTest.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-07-05T03:42:17.000Z | 2019-07-05T03:42:17.000Z | simple-sklearn-demo/test1/standardizationTest.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | null | null | null | simple-sklearn-demo/test1/standardizationTest.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-06-24T05:56:55.000Z | 2019-06-24T05:56:55.000Z | from sklearn.preprocessing import StandardScaler
from pandas.core.frame import DataFrame
def main():
"""
适合存在可能影响最大最小值的异常点的大量数据
归一化处理异常值偏差较大的情况时容易出问题, 需要使用标准化
标准化将原始数据处理到均值为0, 标准差为1的范围
x_final = (x - avg) / sigma
也即是, (x - 该列平均值) / 标准差
标准差的计算为:
1. 计算平均值 avg
2. 计算方差, 即该列所有值 (x1 - av... | 28.183673 | 127 | 0.478639 |
2b2b7fa206d61b7ffaed305b5d8defec783bc47f | 1,747 | py | Python | python/odml/nix_odml.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/odml/nix_odml.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/odml/nix_odml.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | import nixio
if __name__ == '__main__':
filename = "/home/msonntag/Chaos/DL/nix/bla.h5"
print("Writing file '%s'" % filename)
nf = nixio.File(filename, nixio.FileMode.Overwrite)
sec = nf.create_section(name="sec", type_="type")
secref = "sec ref"
sec.reference = secref
pname = "prop"
... | 31.763636 | 81 | 0.680023 |
5aff7555e5dd5025401c189cdbbcff74d0e21760 | 712 | py | Python | modules/dqn.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 2 | 2022-02-24T08:21:49.000Z | 2022-03-10T08:57:35.000Z | modules/dqn.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 1 | 2022-02-24T08:40:21.000Z | 2022-02-24T12:01:58.000Z | modules/dqn.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
class DQNNetwork(nn.Module):
def __init__(self, in_dim, hidden_dim, action_dim):
super(DQNNetwork, self).__init__()
self.in_dim = in_dim
self.hidden_dim = hidden_dim
self.action_dim = action_dim
self.encoder... | 30.956522 | 56 | 0.643258 |
7494714e52c728e0431238e9dacf306d54a7b8f1 | 598 | py | Python | Packs/Kafka/Integrations/Kafka_V2/Kafka_V2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Kafka/Integrations/Kafka_V2/Kafka_V2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Kafka/Integrations/Kafka_V2/Kafka_V2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | from Kafka_V2 import create_certificate
import os
def test_create_certificate():
ca_cert = 'dummy_cert'
client_cert = 'dummy_client'
key = 'dummy_key'
password = 'dummy_pass'
res = create_certificate(ca_cert, client_cert, key, password)
assert res.password == password
with open(res.certfil... | 28.47619 | 65 | 0.655518 |
77f09b46bec776bb34584d485cb6432b0be4e7ff | 68 | py | Python | biowardrobe_airflow_advanced/__init__.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | null | null | null | biowardrobe_airflow_advanced/__init__.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | 1 | 2018-09-30T16:57:06.000Z | 2018-09-30T16:57:06.000Z | biowardrobe_airflow_advanced/__init__.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | null | null | null | from .create_advanced import create_advanced as biowardrobe_advanced | 68 | 68 | 0.911765 |
565463994ea8fa8bb924599861db9cfbda109e8f | 2,145 | py | Python | beispielanwendungen/webkit2/main.py | pbouda/pyqt-und-pyside-buch | a4ec10663ccc8aeda075c9a06b9707ded52382c8 | [
"CC-BY-4.0"
] | 5 | 2017-03-11T13:27:27.000Z | 2022-01-09T10:52:05.000Z | beispielanwendungen/webkit2/main.py | pbouda/pyqt-und-pyside-buch | a4ec10663ccc8aeda075c9a06b9707ded52382c8 | [
"CC-BY-4.0"
] | 2 | 2021-02-14T10:59:59.000Z | 2021-10-30T21:46:32.000Z | beispielanwendungen/webkit2/main.py | pbouda/pyqt-und-pyside-buch | a4ec10663ccc8aeda075c9a06b9707ded52382c8 | [
"CC-BY-4.0"
] | 1 | 2019-08-07T03:08:18.000Z | 2019-08-07T03:08:18.000Z | #!/usr/bin/env python
import sys, os
import pickle, base64
from PyQt4 import QtCore, QtGui, QtWebKit, QtNetwork
def main(argv):
app = QtGui.QApplication(argv)
MainWindow = BrowserWindow()
MainWindow.show()
sys.exit(app.exec_())
class BrowserWindow(QtWebKit.QWebView):
"""Das Hauptfens... | 34.596774 | 72 | 0.600466 |
3b13a89943df6c51784fd76f843071bf6a2a0926 | 2,966 | py | Python | app/t1health_app/static/fusioncharts-suite-xt/integrations/django/samples/fusioncharts/samples/rendering_chart_with_different_language.py | siyaochen/Tier1Health | 536591a7534bbb3fb27fe889bfed9de152ec1864 | [
"MIT"
] | 14 | 2016-11-03T19:06:21.000Z | 2021-11-24T09:05:09.000Z | app/t1health_app/static/fusioncharts-suite-xt/integrations/django/samples/fusioncharts/samples/rendering_chart_with_different_language.py | siyaochen/Tier1Health | 536591a7534bbb3fb27fe889bfed9de152ec1864 | [
"MIT"
] | 10 | 2022-02-16T07:17:49.000Z | 2022-03-08T12:43:51.000Z | asset/integrations/django/samples/fusioncharts/samples/rendering_chart_with_different_language.py | Piusshungu/catherine-junior-school | 5356f4ff5a5c8383849d32e22a60d638c35b1a48 | [
"MIT"
] | 17 | 2016-05-19T13:16:34.000Z | 2021-04-30T14:38:42.000Z | from django.shortcuts import render
from django.http import HttpResponse
# Include the `fusioncharts.py` file which has required functions to embed the charts in html page
from ..fusioncharts import FusionCharts
# Loading Data from a Static JSON String
# It is a example to show a different language other than english... | 37.544304 | 130 | 0.373567 |
8dbc6dc0afecee3205fce227af695b309635afbe | 1,677 | py | Python | src/process_canny.py | Haus4/studienarbeit-stau | 10921f8850df67c797cf174b42fbc5dcec257251 | [
"MIT"
] | 2 | 2018-10-16T08:09:13.000Z | 2019-02-18T13:33:11.000Z | src/process_canny.py | Haus4/studienarbeit-stau | 10921f8850df67c797cf174b42fbc5dcec257251 | [
"MIT"
] | 7 | 2019-02-28T18:10:44.000Z | 2019-03-04T21:09:03.000Z | src/process_canny.py | Haus4/studienarbeit-stau | 10921f8850df67c797cf174b42fbc5dcec257251 | [
"MIT"
] | 1 | 2020-04-05T08:53:13.000Z | 2020-04-05T08:53:13.000Z | import os
import cv2
import numpy
import image_utils
def parseImageWithMask(img, mask, show, name):
target = img.copy()
med = cv2.GaussianBlur(target, (5, 5), 1.2)
image_utils.applyMask(med, mask)
med = cv2.cvtColor(med, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(med,100,200)
#cv2.imshow("hi1", e... | 27.491803 | 73 | 0.650566 |
a511af8d20f16611fa1384b1b7951eed9e099a4e | 346 | py | Python | storage/emulated/0/qpython/scripts3/speak.py | wangkaibiao/SettlersFinancialData3 | 498249e14f24bfa3186f07e8f66ee624d08c6ff1 | [
"MIT"
] | null | null | null | storage/emulated/0/qpython/scripts3/speak.py | wangkaibiao/SettlersFinancialData3 | 498249e14f24bfa3186f07e8f66ee624d08c6ff1 | [
"MIT"
] | null | null | null | storage/emulated/0/qpython/scripts3/speak.py | wangkaibiao/SettlersFinancialData3 | 498249e14f24bfa3186f07e8f66ee624d08c6ff1 | [
"MIT"
] | null | null | null | """Speak user generated text."""
__author__ = 'Damon Kohler <damonkohler@gmail.com>'
__copyright__ = 'Copyright (c) 2009, Google Inc.'
__license__ = 'Apache License, Version 2.0'
import androidhelper
droid = androidhelper.Android()
message = droid.dialogGetInput('TTS', 'What would you like to say?').result
... | 28.833333 | 76 | 0.725434 |
693d6a2934c578ed68554da968a3a1eaa20a29ea | 1,048 | py | Python | python/pyqt/LearnPyQt/grid_layout.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/pyqt/LearnPyQt/grid_layout.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/pyqt/LearnPyQt/grid_layout.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtWidgets import (
QApplication,
QMainWindow,
QWidget,
QGridLayout,
)
from PyQt5.QtGui import (
QPalette,
QColor,
)
class Color(QWidget):
def __init__(self, color, *args, **kwargs):
super(Color, self).__init__(*args, **kwargs)
self.setAutoFillBackgrou... | 21.833333 | 57 | 0.630725 |
cef155558596fc085024901579b95826a1787e10 | 2,680 | py | Python | Prototype/main prototype/test/TestScript_023.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | 4 | 2019-12-03T16:13:09.000Z | 2019-12-11T23:22:58.000Z | Prototype/main prototype/test/TestScript_023.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | 65 | 2019-12-08T17:43:59.000Z | 2020-08-14T15:26:21.000Z | Prototype/main prototype/test/TestScript_023.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | null | null | null | import unittest
import Calculation
from TabData import TabData
from LayerData import LayerData
class TestScript_023(unittest.TestCase):
"""
U-Berechnung 5 Schichten
analog manuellem TestScript_011
"""
def setUp(self):
# erstelle erste Schicht
self.layer_1 = LayerData()
sel... | 26.019417 | 59 | 0.580224 |
001b440b5091a0036820effd3aac951a8e91fc91 | 662 | py | Python | webapp/dash_tutorial_plotly/layout/markdown.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | webapp/dash_tutorial_plotly/layout/markdown.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | webapp/dash_tutorial_plotly/layout/markdown.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import dash
import dash_core_components as dcc
import dash_html_components as html
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_scripts=external_stylesheets)
markdown_text = """
### Dash amd Markdown
Dash apps can be written in Markdown.
Dash u... | 25.461538 | 76 | 0.73565 |
ae40e12d12b967f0638c2dcd5face270f1a6c58d | 46 | py | Python | account/test.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | account/test.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | account/test.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | name = "mathewabuya"
print(name.split(".")[0]) | 23 | 25 | 0.652174 |
ae6a7504e07e91bc357e9549aa5594fcee52cf20 | 2,266 | py | Python | addition_module/face_mask_adding/FMA-3D/utils/read_info.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 1,329 | 2021-01-13T07:06:30.000Z | 2022-03-31T07:23:39.000Z | addition_module/face_mask_adding/FMA-3D/utils/read_info.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 115 | 2021-01-13T10:42:57.000Z | 2022-03-28T03:57:52.000Z | addition_module/face_mask_adding/FMA-3D/utils/read_info.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 351 | 2021-01-13T07:21:00.000Z | 2022-03-29T14:11:39.000Z | """
@author: Yinglu Liu, Jun Wang
@date: 20201012
@contact: jun21wangustc@gmail.com
"""
import numpy as np
def read_landmark_106_file(filepath):
map = [[1,2],[3,4],[5,6],7,9,11,[12,13],14,16,18,[19,20],21,23,25,[26,27],[28,29],[30,31],33,34,35,36,37,42,43,44,45,46,51,52,53,54,58,59,60,61,62,66,67,69,70,71,7... | 41.2 | 251 | 0.585613 |
ee5e3bb2cfb56899acc9082c8a0367f971dd4e91 | 364 | py | Python | src/server/Automat.py | muenstermannmarius/ElectionSystem | a6e60d9147423787e869587b808def4771f89cb7 | [
"RSA-MD"
] | null | null | null | src/server/Automat.py | muenstermannmarius/ElectionSystem | a6e60d9147423787e869587b808def4771f89cb7 | [
"RSA-MD"
] | null | null | null | src/server/Automat.py | muenstermannmarius/ElectionSystem | a6e60d9147423787e869587b808def4771f89cb7 | [
"RSA-MD"
] | null | null | null | class Automat():
"""The implementation of a exemplary automat class.
"""
def __init__(self):
self._current_state_id = 0
def get_state(self):
"""Reads out the state."""
return self._current_state_id
def set_state(self, state_id):
"""Sets the state."""
... | 22.75 | 56 | 0.587912 |
11ab51e6c64384e5034f88eca2a2508dc52802c2 | 2,067 | py | Python | packages/watchmen-data-kernel/src/watchmen_data_kernel/storage/shaper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/storage/shaper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/storage/shaper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from abc import abstractmethod
from typing import Any, Dict
from watchmen_data_kernel.topic_schema import TopicSchema
from watchmen_model.pipeline_kernel import TopicDataColumnNames
from watchmen_storage import EntityRow, EntityShaper
from .factor_column_mapper import TopicFactorColumnMapper
class TopicShaper(Entity... | 39.75 | 94 | 0.803096 |
0118d85d97a44caf473d0d10461e872b0944ca5d | 2,002 | py | Python | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryToTable/InvestigationSummaryToTable.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryToTable/InvestigationSummaryToTable.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryToTable/InvestigationSummaryToTable.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | from enum import Enum
from CommonServerPython import *
RESULT = 'Result'
TACTIC = 'Tactic'
class Result(Enum):
SUSPICIOUS = 'Suspicious'
NOT_DETECTED = 'Not Detected'
RESULT_TO_COLOR = {
Result.SUSPICIOUS: "🔴",
Result.NOT_DETECTED: "🟢",
}
class Finding:
tactic: str
result: Result
... | 29.014493 | 119 | 0.662837 |
6dc2003dbcd34d46cc121871a927b9e4cd9104f8 | 327 | py | Python | 2_Iterables/Strings/f-strings.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | 1 | 2022-03-02T07:16:30.000Z | 2022-03-02T07:16:30.000Z | 2_Iterables/Strings/f-strings.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | null | null | null | 2_Iterables/Strings/f-strings.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | null | null | null | # Code im String ausführen - function String
user_table = {1: 'Hans Meier', 2: "Max Mustermann"}
def get_user_name(user_id):
if user_id in user_table:
return user_table[user_id]
user_id = 2
string = f"Hello my name is {get_user_name(user_id)}"
print(string)
list1 = [1, 2, 3]
print(f"text...{list1[1]}...... | 21.8 | 53 | 0.681957 |
09b4422cd126c943b564f95775aff0b850731054 | 196 | py | Python | Language Proficiency/Python/Itertools/itertools.product()/cartesian_product.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Language Proficiency/Python/Itertools/itertools.product()/cartesian_product.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Language Proficiency/Python/Itertools/itertools.product()/cartesian_product.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from itertools import product
if __name__ == "__main__":
A = list(map(int, input().split()))
B = list(map(int, input().split()))
print(*list(product(A, B)))
| 17.818182 | 39 | 0.612245 |
fede66dc9149b0b72edfa0290b0680b7a596903e | 90 | py | Python | Python/Random/File-Handling/00-file-read.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Random/File-Handling/00-file-read.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Random/File-Handling/00-file-read.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | file = open("text.txt", 'r')
print(type(file))
print(file.name, file.mode)
file.close()
| 12.857143 | 28 | 0.655556 |
3af781dfa7669ad1df60a3cb9b6bca39bcf436f6 | 756 | py | Python | leetcode/146-LRU-Cache/LRUCache_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/146-LRU-Cache/LRUCache_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/146-LRU-Cache/LRUCache_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class LRUCache:
# @param capacity, an integer
def __init__(self, capacity):
self.tb = {}
self.capacity = capacity
self.freq = {}
self.tm = 0
# @return an integer
def get(self, key):
if key in self.tb:
self.freq[key] = self.tm
self.tm += 1... | 24.387097 | 64 | 0.521164 |
a34d6ede8cd8c20c6de6bc54bb205c24642d59d1 | 788 | py | Python | docs/Timetable/xml1.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | docs/Timetable/xml1.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | docs/Timetable/xml1.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from collections import OrderedDict
def ordereddict_to_dict(value):
for k, v in value.items():
if isinstance(v, OrderedDict):
value[k] = ordereddict_to_dict(v)
elif isinstance(v, list):
i = 0
for el in v:
if isinstance(el,... | 23.176471 | 56 | 0.612944 |
6ed34a2ae8660b885d34af176c1b006ddbfe116b | 1,256 | py | Python | test.py | OPI-py/test_movie_data | 2a741ef2dbd85fd60a464cbe60cd3052c1c768d6 | [
"MIT"
] | null | null | null | test.py | OPI-py/test_movie_data | 2a741ef2dbd85fd60a464cbe60cd3052c1c768d6 | [
"MIT"
] | null | null | null | test.py | OPI-py/test_movie_data | 2a741ef2dbd85fd60a464cbe60cd3052c1c768d6 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import codecs
from omdbapi.movie_search import GetMovie
import csv
f=codecs.open("imdb_most_popular_movies_dump.html", 'r', 'utf-8')
document = BeautifulSoup(f.read(), 'html.parser')
movies = document.select('td.titleColumn a')
movie_list = []
for index in range(0, len(movies)):
mo... | 32.205128 | 86 | 0.711783 |
285a9f9a445861eacedfd809571f796e60246729 | 317 | py | Python | fastapi/tutorial-1-3-router/main.py | pisitj/practice-python-web-framework | 5f7f60737b1cf9618e73ad8047b6c4f556d1feb0 | [
"MIT"
] | null | null | null | fastapi/tutorial-1-3-router/main.py | pisitj/practice-python-web-framework | 5f7f60737b1cf9618e73ad8047b6c4f556d1feb0 | [
"MIT"
] | null | null | null | fastapi/tutorial-1-3-router/main.py | pisitj/practice-python-web-framework | 5f7f60737b1cf9618e73ad8047b6c4f556d1feb0 | [
"MIT"
] | null | null | null | # https://fastapi.tiangolo.com/tutorial/bigger-applications/#include-the-apirouters-for-users-and-items
from fastapi import FastAPI
from routers import items, users
app = FastAPI()
app.include_router(users.router)
app.include_router(items.router)
@app.get("/")
def hello():
return {"message": "Hello World."} | 22.642857 | 103 | 0.753943 |
957c11206d28ed68699e42a211dcf13af78551a1 | 2,735 | py | Python | sCRAPing/finn.no/jobb.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | sCRAPing/finn.no/jobb.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | sCRAPing/finn.no/jobb.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | from urllib.parse import urlparse
import os.path
import requests
from time import sleep
from random import randrange
import glob
import parsers
import time
import csv
import cleaner
AD_URL = 'http://m.finn.no/job/fulltime/ad.html?finnkode='
update = ['sqamlr1dlesu0qiarus6pvzjgh']
listdict = {}
for line in open('list... | 26.298077 | 94 | 0.56234 |
25350bda223b8a963799acdff623097dc2c93f81 | 3,085 | py | Python | semantic.py | Peetee06/compilerbau_ws2122_hsbochum | 9b71e33f7385ba946ce7f4d375b7ca68b21dd97f | [
"MIT"
] | null | null | null | semantic.py | Peetee06/compilerbau_ws2122_hsbochum | 9b71e33f7385ba946ce7f4d375b7ca68b21dd97f | [
"MIT"
] | null | null | null | semantic.py | Peetee06/compilerbau_ws2122_hsbochum | 9b71e33f7385ba946ce7f4d375b7ca68b21dd97f | [
"MIT"
] | 2 | 2022-03-13T18:48:24.000Z | 2022-03-20T16:45:19.000Z | # TODO
class Semantic(object):
UNDEFINED = 0x10000001
def f(t, v):
"""
Parameters
----------
t : SyntaxTree
a Subtree of the Syntaxtree
v : Any
"""
return UNDEFINED
class Expression(Semantic):
def f(tree, n):
term = tree.ge... | 26.826087 | 105 | 0.493355 |
c6ce17315606fa7f0c701059ee1270bb5bae6798 | 346 | py | Python | checks/url_canonicalization.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 19 | 2018-04-20T11:03:41.000Z | 2022-01-12T20:58:56.000Z | checks/url_canonicalization.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 160 | 2018-04-05T16:12:59.000Z | 2022-03-01T13:01:27.000Z | checks/url_canonicalization.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 8 | 2018-11-05T13:07:57.000Z | 2021-06-11T11:46:43.000Z | """
This check verifies whether there is a single URL
or several variants left at this point.
"""
from checks.abstract_checker import AbstractChecker
class Checker(AbstractChecker):
def __init__(self, config, previous_results=None):
super().__init__(config, previous_results)
def run(self):
... | 24.714286 | 54 | 0.731214 |
05a2c49461ceb32491a8fd7bd1e9109d762ecaa5 | 629 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v7_0/remove_old_earning_deduction_doctypes.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/v7_0/remove_old_earning_deduction_doctypes.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_0/remove_old_earning_deduction_doctypes.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
def execute():
if frappe.db.exists("DocType", "Salary Component"):
for dt in ("Salary Structure Earning", "Salary Structure Deducti... | 39.3125 | 94 | 0.707472 |
af0c26303e4751d7921d4029995eafe3fb472cd8 | 856 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex04_insertion_sort.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex04_insertion_sort.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex04_insertion_sort.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def swap_positions_normal(list, pos1, pos2):
tmp = list[pos1]
list[pos2] = list[pos1]
list[pos1] = tmp
def insertion_sort(values):
for i in range(1, len(values)):
# Prüfe, ob aktuelles Element grösser als ... | 22.526316 | 80 | 0.636682 |
a529be883a0c55bb0b58973fba27e36cc75f4192 | 4,075 | py | Python | keras_fcn/decoders.py | li657835991/FCN | 26bafeaf631a095d9d2befcc3b798a87c8d0fa7c | [
"MIT"
] | 235 | 2017-03-01T14:34:29.000Z | 2021-06-03T16:16:16.000Z | keras_fcn/decoders.py | li657835991/FCN | 26bafeaf631a095d9d2befcc3b798a87c8d0fa7c | [
"MIT"
] | 39 | 2017-03-25T01:20:25.000Z | 2020-10-30T11:51:47.000Z | keras_fcn/decoders.py | li657835991/FCN | 26bafeaf631a095d9d2befcc3b798a87c8d0fa7c | [
"MIT"
] | 105 | 2017-04-13T21:31:46.000Z | 2021-11-01T17:25:48.000Z | import keras
import keras.backend as K
from keras.models import Model
from keras.layers import (
Input
)
from keras.layers.convolutional import (
Conv2D
)
from keras_fcn.layers import CroppingLike2D
from keras_fcn.blocks import (
vgg_deconv,
vgg_score,
vgg_upsampling
)
def Decoder(pyramid, bloc... | 37.385321 | 79 | 0.573252 |
3c29438dd9d8deb86389c754dac468318f3ed173 | 1,687 | py | Python | scripts/ssanova/palate-getter.py | jenniferxkuo/ultramisc | 65bff53c97715eb9a24acc62b77460f22e0dabc6 | [
"MIT"
] | 1 | 2020-10-26T01:18:23.000Z | 2020-10-26T01:18:23.000Z | scripts/ssanova/palate-getter.py | jenniferxkuo/ultramisc | 65bff53c97715eb9a24acc62b77460f22e0dabc6 | [
"MIT"
] | null | null | null | scripts/ssanova/palate-getter.py | jenniferxkuo/ultramisc | 65bff53c97715eb9a24acc62b77460f22e0dabc6 | [
"MIT"
] | 3 | 2019-05-29T18:36:54.000Z | 2021-09-07T02:53:51.000Z | # palate getter function - averages all palate traces in ET output .con file
# outputs a text file that can be used in ssanova_palate.R
# usage: python palate-getter.py [directory name]
# where directory contains multiple subjects' palate-finding dirs
# target files MUST end in "palates.con"
import os, sys, argp... | 36.673913 | 95 | 0.679905 |
3c656519aa0e8e869b1bc133c96f29a164d99ab2 | 1,156 | py | Python | Problems/Depth-First Search/easy/SumRootToLeafBinaryNumber/sum_root_leaf_binary_number.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Depth-First Search/easy/SumRootToLeafBinaryNumber/sum_root_leaf_binary_number.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Depth-First Search/easy/SumRootToLeafBinaryNumber/sum_root_leaf_binary_number.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import Optional
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
# Recursive
def sumRootToLeaf(self, root: Optional[TreeNode]) -> int:
self.res = 0
def sum_binary(c... | 29.641026 | 67 | 0.594291 |
3c7f520673c84b01d156932426c1d2b43f797bdf | 313 | py | Python | Problems/Two Pointers/easy/MergeStringAlternately/merge_string_alternately.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Two Pointers/easy/MergeStringAlternately/merge_string_alternately.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Two Pointers/easy/MergeStringAlternately/merge_string_alternately.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | def mergeAlternately(word1: str, word2: str) -> str:
p1, p2, l1, l2 = 0, 0, len(word1), len(word2)
result = ""
while p1 < l1 or p2 < l2:
if p1 < l1:
result += word1[p1]
p1 += 1
if p2 < l2:
result += word2[p2]
p2 += 1
return result | 22.357143 | 52 | 0.450479 |
a7379ab6b029a8a283c7cd64ef6b2a68f323669a | 186 | py | Python | demos/Multiscale/uniswap/model/state_variables.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 56 | 2020-07-08T23:23:15.000Z | 2022-03-11T20:43:09.000Z | demos/Multiscale/uniswap/model/state_variables.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 41 | 2020-07-11T23:24:06.000Z | 2022-01-28T13:28:07.000Z | demos/Multiscale/uniswap/model/state_variables.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 39 | 2020-07-15T11:35:04.000Z | 2022-02-01T16:02:51.000Z | import pandas as pd
genesis_states = {
'DAI_balance': 5900000000000000000000,
'ETH_balance': 30000000000000000000,
'UNI_supply': 30000000000000000000,
'price_ratio': 0
} | 23.25 | 42 | 0.731183 |
e608fb34d1f7ceddcadf9118f836d9447c5b9cf1 | 7,688 | py | Python | src/pss_receive/pss-receive/receive.py | ska-telescope/sdp-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 2 | 2019-07-15T09:49:34.000Z | 2019-10-14T16:04:17.000Z | src/pss_receive/pss-receive/receive.py | ska-telescope/sdp-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 17 | 2019-07-15T14:51:50.000Z | 2021-06-02T00:29:43.000Z | src/pss_receive/pss-receive/receive.py | ska-telescope/sdp-configuration-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 1 | 2019-10-10T08:16:48.000Z | 2019-10-10T08:16:48.000Z | #/usr/bin/python
from __future__ import print_function
import argparse
import logging
import os
import spead2.recv
import spead2
# pylint: disable=C0116,W1202,R0201
# A module to receive data over UDP using the spead2 data exchange protocol
#
# Author: Benjamin Shaw
# Email : benjamin.shaw@manchester.ac.uk
class U... | 34.630631 | 104 | 0.587149 |
0591f4ac8c351482aca073c4115588a086fe4d89 | 1,360 | py | Python | src/test/tests/databases/imgvol.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/databases/imgvol.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/databases/imgvol.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: imgvol.py
#
# Tests: imgvol reader
#
# Mark C. Miller, Fri Apr 23 23:01:06 PDT 2010
#
# Modifications:
#
# Mark C. Miller, Sun Apr 25 21:30:29 PDT 2010
# Added missing Slice operator for c... | 20.298507 | 78 | 0.666912 |
558743c7b2ca59881b090652b6cb0a430941a99e | 5,534 | py | Python | tools/inference.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | 2 | 2020-12-22T08:40:05.000Z | 2021-03-30T08:09:44.000Z | tools/inference.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | tools/inference.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@description:
@author: LiuXin
@contact: xinliu1996@163.com
@Created on: 2020/11/19 上午11:28
"""
import argparse
import time
import numpy as np
import skimage
import torch
import torch.nn as nn
import torchvision.transforms as T
from tqdm import tqdm
import PIL.Image as Image
from modeling im... | 31.804598 | 111 | 0.619443 |
75b988c07c76f22c976ec4770d7c472bcaed127a | 820 | py | Python | tests/test_config.py | PlaidWeb/Publ | 67efc5e32bf25dbac72a83d1167de038b79db5a7 | [
"MIT"
] | 27 | 2018-11-30T21:32:26.000Z | 2022-03-20T19:46:25.000Z | tests/test_config.py | PlaidWeb/Publ | 67efc5e32bf25dbac72a83d1167de038b79db5a7 | [
"MIT"
] | 249 | 2018-09-30T07:04:37.000Z | 2022-03-29T04:31:00.000Z | tests/test_config.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | 4 | 2019-03-01T06:46:13.000Z | 2019-06-30T17:45:46.000Z | """ tests of the config manager """
# pylint:disable=missing-docstring
from publ import config
from . import PublMock
def test_config_defaults():
cfg = config.Config({})
dfl = config._Defaults # pylint:disable=protected-access
for key, val in cfg.__dict__.items():
if key[0] != '_':
... | 28.275862 | 78 | 0.680488 |
ddac337f7b7662e01f1c9ffc14ce190314935d05 | 14,778 | py | Python | dcapy/cashflow/cashflow.py | scuervo91/dcapy | 46c9277e607baff437e5707167476d5f7e2cf80c | [
"MIT"
] | 4 | 2021-05-21T13:26:10.000Z | 2021-11-15T17:17:01.000Z | dcapy/cashflow/cashflow.py | scuervo91/dcapy | 46c9277e607baff437e5707167476d5f7e2cf80c | [
"MIT"
] | null | null | null | dcapy/cashflow/cashflow.py | scuervo91/dcapy | 46c9277e607baff437e5707167476d5f7e2cf80c | [
"MIT"
] | null | null | null | from dcapy.dca.dca import ProbVar
from pydantic import BaseModel, Field, validator
from typing import Union, List, Optional
from datetime import date
import pandas as pd
import numpy as np
import numpy_financial as npf
import matplotlib.pyplot as plt
import seaborn as sns
from enum import Enum
from ..dca import conver... | 34.608899 | 185 | 0.59751 |
34adf35a4d2917b6e27ccccd3f92fd8eba38ac46 | 3,231 | py | Python | tests/onegov/onboarding/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/onboarding/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/onboarding/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import morepath
import onegov.onboarding
from onegov.core.utils import Bunch, scan_morepath_modules
from tests.shared import utils
from onegov.town6 import TownApp
from webtest import TestApp as Client
def test_view_permissions():
utils.assert_explicit_permissions(
onegov.onboarding, onegov.onboarding.On... | 26.925 | 75 | 0.645002 |
32e69d06f47bc4343eeca32fa5d79cf2e62e2a33 | 1,661 | py | Python | CheckMate/tcp_check.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | CheckMate/tcp_check.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | CheckMate/tcp_check.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | import socket
import threading
import time
from CheckMate.log import logger
def tcp_checker(address, port, close=2):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(close)
try:
s.connect((address, port))
s.close()
logger.info("tcp - Success connecting to {addr}:{... | 35.340426 | 125 | 0.606863 |
bd06b2c0ac404ca8309bf62fbe5ad9c88bc74304 | 4,977 | py | Python | official/nlp/dgu/src/pretrainmodel_convert.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/dgu/src/pretrainmodel_convert.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/dgu/src/pretrainmodel_convert.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... | 52.389474 | 120 | 0.703034 |
1f9577cb06aa4febf38cb7f8b8571b07c1311e33 | 320 | py | Python | Pythonjunior2020/Woche3/Aufgabe_3_2_3.py | Zeyecx/HPI-Potsdam | ed45ca471cee204dde74dd2c3efae3877ee71036 | [
"MIT"
] | null | null | null | Pythonjunior2020/Woche3/Aufgabe_3_2_3.py | Zeyecx/HPI-Potsdam | ed45ca471cee204dde74dd2c3efae3877ee71036 | [
"MIT"
] | null | null | null | Pythonjunior2020/Woche3/Aufgabe_3_2_3.py | Zeyecx/HPI-Potsdam | ed45ca471cee204dde74dd2c3efae3877ee71036 | [
"MIT"
] | null | null | null | # 3.2.3, Woche 3, Block 2, Aufgabe 3
# Import
from daten import punkte_liste
from turtle import *
# Funktionen
def gehe_wenn_nah(pointer):
if distance(pointer) < 100:
goto(pointer)
else:
goto(0,0)
# Main
for i in range(0,len(punkte_liste)):
gehe_wenn_nah(punkte_liste[i]) | 20 | 36 | 0.634375 |
85d8fd5418076095d54379aad03a4780ab053121 | 7,719 | py | Python | autojail/commands/init.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/commands/init.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/commands/init.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | from pathlib import Path
import ruamel.yaml
from ..model import AutojailArch, AutojailConfig, AutojailLogin
from .base import BaseCommand
class InitCommand(BaseCommand):
""" Initializes an autojail project
init
{--f|force : if set overwrites existing autojail.yml}
{--name= : name of the proje... | 33.415584 | 123 | 0.537116 |
c09d83e89e3e87579fe5964471000d9dd77062b1 | 1,589 | py | Python | program/main.py | SimonSkade/BwKI_autonome_Verkehrslenkung | 41d84ce2103a4338893dc610a46f7b115d584635 | [
"MIT"
] | 4 | 2019-08-22T19:16:28.000Z | 2019-10-27T07:09:09.000Z | program/main.py | SimonSkade/BwKI_autonome_Verkehrslenkung | 41d84ce2103a4338893dc610a46f7b115d584635 | [
"MIT"
] | null | null | null | program/main.py | SimonSkade/BwKI_autonome_Verkehrslenkung | 41d84ce2103a4338893dc610a46f7b115d584635 | [
"MIT"
] | null | null | null | #!/home/simon/anaconda3/bin/python
if __name__=='__main__': #kann man das auch noch anders kontrollieren, dass ein Teil nur ausgeführt wird, wenn die Datei von einer spezifischen anderen Datei aufgerufen/importiert wird?
import environment
#input_file_network = "../manual_example_data/test_Einlesedatei_netzwe... | 51.258065 | 198 | 0.770925 |
c8a5ac24037b92d7fba1869abbc6254bccb14fb3 | 6,652 | py | Python | Utils/py/RL_ActionSelection/env_0/actions.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/RL_ActionSelection/env_0/actions.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/RL_ActionSelection/env_0/actions.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | ##########################
#
# Actions used by world (with noise) and agent (without noise)
#
##########################
import math
import copy
import numpy as np
from tools import action as act
from state import State
from naoth.math2d import Vector2 as Vec
class Actions:
"""
all available actions
p... | 33.427136 | 119 | 0.657998 |
9e234b2f32ea5e6a0894ab0861880070483b37b7 | 1,407 | py | Python | REWORK/src/py/wifiSpeed.py | JueK3y/Instagram-automated-commenting | 7ecc4119d8e9ff0dfba620488018fbd9fce61606 | [
"RSA-MD"
] | 9 | 2021-06-22T14:01:24.000Z | 2022-03-11T08:59:38.000Z | REWORK/src/py/wifiSpeed.py | JueK3y/Instagram-automated-commenting | 7ecc4119d8e9ff0dfba620488018fbd9fce61606 | [
"RSA-MD"
] | 6 | 2021-01-15T09:12:11.000Z | 2021-05-25T08:12:10.000Z | REWORK/src/py/wifiSpeed.py | JueK3y/Instagram-automated-commenting | 7ecc4119d8e9ff0dfba620488018fbd9fce61606 | [
"RSA-MD"
] | 1 | 2021-12-27T18:58:53.000Z | 2021-12-27T18:58:53.000Z | # ┌─────────────────────────────────────────────────────────────────────────┐
# │ Instagram Automated Commenting 2.0 │
# ├─────────────────────────────────────────────────────────────────────────┤
# │ DO NOT indicate used program sections as your own. │
# │ DO N... | 50.25 | 77 | 0.438522 |
27f9813271d250849b020912c6f70a10cec5b2e5 | 713 | py | Python | tests/onegov/form/test_utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/form/test_utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/form/test_utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from decimal import Decimal
from onegov.form import decimal_range
def test_decimal_range():
assert list(decimal_range('0', '2')) == [
Decimal('0'),
Decimal('1')
]
assert list(decimal_range('2', '0')) == [
Decimal('2'),
Decimal('1')
]
assert list(decimal_range('0',... | 25.464286 | 75 | 0.528752 |
7e0b0dc277dde608c1e48c35637538f28601e353 | 3,151 | py | Python | luechenbresse/text.py | turkishmaid/luechenbresse | 2527b19eb2f961cef5ddb62e816b471e5d04847d | [
"MIT"
] | null | null | null | luechenbresse/text.py | turkishmaid/luechenbresse | 2527b19eb2f961cef5ddb62e816b471e5d04847d | [
"MIT"
] | 4 | 2020-05-12T07:26:52.000Z | 2020-05-23T12:21:49.000Z | luechenbresse/text.py | turkishmaid/luechenbresse | 2527b19eb2f961cef5ddb62e816b471e5d04847d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
"""
Tooling to deal with nested lists of strings (e.g. extracted from a web page),
transform them to a list of words without decorations and then work with such list.
"""
_DECORATORS = '''+"'-.!?;:,|/“”()'''
def undecorate(mixup):
# get undecorated words
# does not chang... | 33.88172 | 88 | 0.565852 |
fd735267ee2afd651ae47b23f44dfe2114b29cc2 | 2,830 | py | Python | test/test_npu/test_network_ops/test_multinomial.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_multinomial.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_multinomial.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 37.733333 | 84 | 0.596113 |
9a09751d048f993fae4794fe80c84a7a163e45c0 | 4,839 | py | Python | Packs/FeedRSS/Integrations/FeedRSS/test_data/test_variables.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/FeedRSS/Integrations/FeedRSS/test_data/test_variables.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/FeedRSS/Integrations/FeedRSS/test_data/test_variables.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import feedparser
TEXT_EXCEEDED_MAX_SIZE = "<p> 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93... | 59.740741 | 1,123 | 0.588758 |
d05e586c9d6de49644d9cc61637eaa28e0fdaab1 | 262 | py | Python | exercises/ja/solution_02_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/ja/solution_02_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/ja/solution_02_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | from spacy.lang.ja import Japanese
nlp = Japanese()
doc = nlp("デヴィッド・ボウイはPERSONです")
# ラベル「PERSON」のハッシュを引く
person_hash = nlp.vocab.strings["PERSON"]
print(person_hash)
# person_hashを引いて文字列を取得
person_string = nlp.vocab.strings[person_hash]
print(person_string)
| 20.153846 | 46 | 0.78626 |
d0c6852ca3c696f25e3244a4f64ab6f89e5c2211 | 37,171 | py | Python | Packs/QuestKace/Integrations/QuestKace/test_module/RawData.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/QuestKace/Integrations/QuestKace/test_module/RawData.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/QuestKace/Integrations/QuestKace/test_module/RawData.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | MACHINES_LIST_COMMAND_RESPONSE = {
'Machines': [
{'Id': '1',
'Modified': '2020-03-11 08:21:38',
'Created': '2020-03-11 08:21:38',
'User': '', 'Name': 'Macbook Pro',
'Ip': '1.2.3.4',
'Os_name': '',
'Os_number': '',
'Last_inventory': '0000-00-00 0... | 27.927122 | 85 | 0.32224 |
d0dd120cc6bcc050fdef5b00e242c8c57ab50a3a | 7,099 | py | Python | Packs/knowbe4Phisher/Integrations/knowbe4Phisher/test_data/mock_tests.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/knowbe4Phisher/Integrations/knowbe4Phisher/test_data/mock_tests.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/knowbe4Phisher/Integrations/knowbe4Phisher/test_data/mock_tests.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | create_request_test = [
("""mutation {{
phisherCommentCreate(comment: \\"{}\\", id: \\"{}\\") {{
errors {{
field
placeholders
reason
}}
node {{
body
createdAt
}}
}}
}}""",
'mutation {{\\n phisherCommentCreate(comment: \\"{}\\", id: \\"{}\\") {{\\n errors {{... | 33.966507 | 129 | 0.415411 |
ef61575089197f2715cb0ed90b20bcdb49b02397 | 1,255 | py | Python | Interview Preparation Kits/Interview Preparation Kit/Graphs/BFS: Shortest Reach in a Graph/bfs2.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Interview Preparation Kits/Interview Preparation Kit/Graphs/BFS: Shortest Reach in a Graph/bfs2.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Interview Preparation Kits/Interview Preparation Kit/Graphs/BFS: Shortest Reach in a Graph/bfs2.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import queue
from collections import defaultdict
class Graph:
def __init__(self, nodes):
self.nodes = nodes
self.edges = defaultdict(set)
def connect(self, node_x, node_y):
self.edges[node_x].add(node_y)
self.edges[node_y].add(node_x)
def find_all_distances(... | 26.702128 | 56 | 0.560956 |
9d250a1130ffa1a01f934c8a1ef70e5aa614d78f | 7,455 | py | Python | Bikecounter/get_data_daily.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 29 | 2020-03-21T00:47:51.000Z | 2021-07-17T15:50:33.000Z | Bikecounter/get_data_daily.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 7 | 2020-03-21T14:04:26.000Z | 2022-03-02T08:05:40.000Z | Bikecounter/get_data_daily.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 13 | 2020-03-21T01:08:08.000Z | 2020-04-08T17:21:11.000Z | #!/usr/bin/env python
# coding: utf-8
# In[36]:
import json
import pandas as pd
import numpy as np
import boto3
import requests
import os
from datetime import datetime, timedelta
# In[37]:
pratiques_path = "pratiques.csv"
locations_path = "Counterlist-DE.csv"
pratiques_df = pd.read_csv(pratiques_path,sep='\t')
l... | 34.354839 | 215 | 0.536419 |
26524fcbe1407622295c3604bc875b0a36e581c4 | 2,939 | py | Python | More-DL/ResidualNetwork_rebuild.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | More-DL/ResidualNetwork_rebuild.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | More-DL/ResidualNetwork_rebuild.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import tensorflow as tf
# Fix CuDnn problem
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
tf.config.experimental.set_memory_growth(gpus[0], True)
except RuntimeError as e:
print(e)
from tensorflow.keras.models import Model
from tensorflow.keras.layers import *... | 39.186667 | 77 | 0.628445 |
cd21195260b771fe0372d6bd4f472caad45dafa8 | 437 | py | Python | dunder-demos/wrapper.py | gregjhansell97/sandbox | d565da5db2c10af404ce62aa747d5e682bc02a86 | [
"MIT"
] | null | null | null | dunder-demos/wrapper.py | gregjhansell97/sandbox | d565da5db2c10af404ce62aa747d5e682bc02a86 | [
"MIT"
] | null | null | null | dunder-demos/wrapper.py | gregjhansell97/sandbox | d565da5db2c10af404ce62aa747d5e682bc02a86 | [
"MIT"
] | null | null | null | import inspect
class Wrapper:
def __init__(self, obj):
self.obj = obj
def __getattribute__(self, item):
obj = super().__getattribute__("obj")
return getattr(obj, item)
class A:
def run(self):
print("WRAPPED IT BOI")
async def stop(self):
print("stopped")
a =... | 15.607143 | 45 | 0.627002 |
90414527bd0cbe90a0f7c39a4960a86027e03be1 | 275 | py | Python | leetcode/053-Maximum-Subarray/MaxSubarray_003.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/053-Maximum-Subarray/MaxSubarray_003.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/053-Maximum-Subarray/MaxSubarray_003.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param {integer[]} nums
# @return {integer}
def maxSubArray(self, nums):
res, tmp = nums[0], nums[0]
for i in range(1, len(nums)):
tmp = max(tmp + nums[i], nums[i])
res = max(res, tmp)
return res
| 25 | 45 | 0.505455 |
8443b65a3c8bc99b7d7a69907db2f80e3bb34ad7 | 885 | py | Python | data-pipeline/src/data_pipeline/datasets/exac/exac_constraint.py | broadinstitute/gnomadjs | 00da72cdc2cb0753f822c51456ec15147c024a1d | [
"MIT"
] | 38 | 2018-02-24T02:33:52.000Z | 2020-03-03T23:17:04.000Z | data-pipeline/src/data_pipeline/datasets/exac/exac_constraint.py | broadinstitute/gnomadjs | 00da72cdc2cb0753f822c51456ec15147c024a1d | [
"MIT"
] | 385 | 2018-02-21T16:53:13.000Z | 2020-03-04T00:52:40.000Z | data-pipeline/src/data_pipeline/datasets/exac/exac_constraint.py | broadinstitute/gnomadjs | 00da72cdc2cb0753f822c51456ec15147c024a1d | [
"MIT"
] | 13 | 2020-05-01T13:03:54.000Z | 2022-02-28T13:12:57.000Z | import hail as hl
def prepare_exac_constraint(path):
ds = hl.import_table(path, force=True)
ds = ds.repartition(32, shuffle=True)
# Select relevant fields
ds = ds.select(
# Remove version number from transcript ID
transcript_id=ds.transcript.split("\\.")[0],
# Expected
... | 25.285714 | 52 | 0.577401 |
fff95f879c11edb97da7acdc307bd88ad6f9fcdb | 11,131 | py | Python | PowerPWN/PowerPwn.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | PowerPWN/PowerPwn.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | PowerPWN/PowerPwn.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | #!/usr/bin/python2
#-*- coding:utf-8 -*-
import socket
import subprocess
import platform
import sys
import time
import os
import readline
import logging
import shlex
import threading
from base64 import b64encode
try:
import nclib
except ImportError:
print('\033[1;91m[!] Error NCLIB Not Found !')
try:
imp... | 37.989761 | 501 | 0.534094 |
4b42f549d9eac97780122b03e5a3658b6231bca3 | 519 | py | Python | leetcode/538-Convert-BST-to-Greater-Tree/ConvertBSTtoGreaterTree_recursion.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-04-07T15:08:53.000Z | 2016-04-07T15:08:53.000Z | leetcode/538-Convert-BST-to-Greater-Tree/ConvertBSTtoGreaterTree_recursion.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/538-Convert-BST-to-Greater-Tree/ConvertBSTtoGreaterTree_recursion.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def convertBST(self, root: TreeNode) -> TreeNode:
def traverse(node, prev_sum):
if node:
prev_sum = t... | 27.315789 | 57 | 0.549133 |
8a64d2d8cc10583fd6d6663c34989b2cbf4a1157 | 13,170 | py | Python | myems-aggregation/equipment_billing_output_category.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 82 | 2021-02-19T10:24:31.000Z | 2022-03-28T06:30:18.000Z | myems-aggregation/equipment_billing_output_category.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 188 | 2021-02-22T07:08:30.000Z | 2022-03-02T04:11:03.000Z | myems-aggregation/equipment_billing_output_category.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 54 | 2021-02-19T08:48:46.000Z | 2022-03-30T06:21:34.000Z | import time
from datetime import datetime, timedelta
from decimal import Decimal
import mysql.connector
import tariff
import config
########################################################################################################################
# PROCEDURES
# Step 1: get all equipments
# for each equipment in... | 48.777778 | 120 | 0.48284 |
76e9fdcb7506908a21cd17422dc86c8f26f075ee | 239 | py | Python | SoSe-21/Code-Vorlesungen/VL-8/dictio-beispiel.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | SoSe-21/Code-Vorlesungen/VL-8/dictio-beispiel.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | SoSe-21/Code-Vorlesungen/VL-8/dictio-beispiel.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null |
beispiel_dict = {"Jonas": 28,
"Ilona": 26,
"Rahmat": 23}
# Sie stellen fest, dass Ilona doch erst 25 ist. Wie führen Sie eine Änderung durch?
beispiel_dict.update({"Ilona": 25})
print(beispiel_dict) | 19.916667 | 84 | 0.60251 |
76ec42c762eca03a2072d69dbd024d82f4641d41 | 4,482 | py | Python | order/views.py | hhdMrLion/Product-System | e870225ab10c32688a87426d5943d922c47c4404 | [
"MIT"
] | 1 | 2021-06-18T03:03:42.000Z | 2021-06-18T03:03:42.000Z | order/views.py | hhdMrLion/Product-System | e870225ab10c32688a87426d5943d922c47c4404 | [
"MIT"
] | null | null | null | order/views.py | hhdMrLion/Product-System | e870225ab10c32688a87426d5943d922c47c4404 | [
"MIT"
] | null | null | null | import datetime
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.db.models import Q
from django.shortcuts import render, get_object_or_404, redirect
# Create your views here.
from django.views.generic import ListView
from order.models import Order, OrderList, OrderBill
f... | 32.955882 | 105 | 0.675368 |
0a566ac58906caf25a3d56a636a033ffc899ae5a | 2,102 | py | Python | Interview Preparation Kits/Interview Preparation Kit/Graphs/BFS: Shortest Reach in a Graph/bfs1.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Interview Preparation Kits/Interview Preparation Kit/Graphs/BFS: Shortest Reach in a Graph/bfs1.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Interview Preparation Kits/Interview Preparation Kit/Graphs/BFS: Shortest Reach in a Graph/bfs1.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the findShortest function below.
from collections import defaultdict
#
# For the weighted graph, <name>:
#
# 1. The number of nodes is <name>_nodes.
# 2. The number of edges is <name>_edges.
# 3. An edge exists between <name>_from[i] t... | 28.026667 | 80 | 0.577069 |
0a9bc7efd625df7eadac7d10c87584a9505cf889 | 1,080 | py | Python | Coursera/The Raspberry Pi Platform and Python Programming for the Raspberry Pi/Week-4/Assignment/LedWithRaspberryPi.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 331 | 2019-10-22T09:06:28.000Z | 2022-03-27T13:36:03.000Z | Coursera/The Raspberry Pi Platform and Python Programming for the Raspberry Pi/Week-4/Assignment/LedWithRaspberryPi.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 8 | 2020-04-10T07:59:06.000Z | 2022-02-06T11:36:47.000Z | Coursera/The Raspberry Pi Platform and Python Programming for the Raspberry Pi/Week-4/Assignment/LedWithRaspberryPi.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 572 | 2019-07-28T23:43:35.000Z | 2022-03-27T22:40:08.000Z | import RPi.GPIO as GPIO
import time
class Control:
def __init__(self):
self.LedPin = 13
self.Button = 12
def setup(self):
GPIO.setmode(GPIO.BOARD)
GPIO.setup(self.LedPin, GPIO.OUT)
GPIO.setup(self.Button, GPIO.IN, pull_up_down=GPIO.PUD_UP)
GPIO.output(se... | 27.692308 | 66 | 0.512963 |
0ac708f37d9fdc16b2b89738d66bdb0f4dee00c9 | 12,023 | py | Python | transonic/backends/cython.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | transonic/backends/cython.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | transonic/backends/cython.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | """Cython Backend
=================
Internal API
------------
.. autoclass:: HeaderFunction
:members:
:private-members:
.. autoclass:: SubBackendJITCython
:members:
:private-members:
.. autoclass:: CythonBackend
:members:
:private-members:
"""
import copy
import inspect
from warnings import warn... | 30.592875 | 91 | 0.59303 |
e404362a9962289a9bbaf85840b229f6712195d0 | 301 | py | Python | exercises/es/exc_02_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/exc_02_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/exc_02_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("es_core_news_sm")
doc = nlp("David Bowie tiene el label PER")
# Busca el hash para el label del string "PER"
person_hash = ____.____.____[____]
print(person_hash)
# Busca el person_hash para obtener el string
person_string = ____.____.____[____]
print(person_string)
| 23.153846 | 46 | 0.76412 |
7c7f088e181bd57f5616a96142e867bcfc476401 | 434 | py | Python | exercises/fr/test_02_09.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/fr/test_02_09.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/fr/test_02_09.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
'spacy.load("fr_core_news_md")' in __solution__
), "Charges-tu correctement le modèle moyen ?"
assert "doc[1].vector" in __solution__, "Obtiens-tu le bon vecteur ?"
__msg__.good(
"Bien joué ! Dans l'exercice suivant, tu vas utiliser spaCy pour "
"prédire des ... | 39.454545 | 79 | 0.654378 |
7caefb619247c3da4b01cbfe4b98ccc93567e319 | 4,163 | py | Python | paddlenlp/datasets/c3.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/datasets/c3.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/datasets/c3.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... | 38.906542 | 92 | 0.569061 |
6b2a160cee7b2a8618325b6f71bb4bd4dcef96a5 | 5,595 | py | Python | Miscellaneous/BlenderExporter/ExportFudgeScene.py | bynikoala/FUDGE | 4102008022dfe38d77d3aea3b13883553b5c80dd | [
"MIT"
] | 26 | 2019-08-22T08:02:05.000Z | 2022-03-05T10:41:31.000Z | Miscellaneous/BlenderExporter/ExportFudgeScene.py | bynikoala/FUDGE | 4102008022dfe38d77d3aea3b13883553b5c80dd | [
"MIT"
] | 184 | 2019-08-22T06:54:05.000Z | 2022-03-31T08:41:34.000Z | Miscellaneous/BlenderExporter/ExportFudgeScene.py | bynikoala/FUDGE | 4102008022dfe38d77d3aea3b13883553b5c80dd | [
"MIT"
] | 37 | 2019-08-22T09:50:37.000Z | 2022-03-17T11:04:45.000Z | # This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
... | 28.401015 | 93 | 0.612154 |
86ada208c24e2acf4f092a0863cbd008185eca43 | 2,790 | py | Python | findMoviesByTerminal.py | WuNull/findmovie | 29d3ef6fe2282f48be57780f5e8366de1d3479a6 | [
"Apache-2.0"
] | 1 | 2019-11-26T07:03:06.000Z | 2019-11-26T07:03:06.000Z | findMoviesByTerminal.py | WuNull/findmovie | 29d3ef6fe2282f48be57780f5e8366de1d3479a6 | [
"Apache-2.0"
] | null | null | null | findMoviesByTerminal.py | WuNull/findmovie | 29d3ef6fe2282f48be57780f5e8366de1d3479a6 | [
"Apache-2.0"
] | null | null | null | """
python-version: 3.8.0
查找电影 小工具
实现思路:
1.实现电影资源网站的搜索功能
2.获取搜索结果的网页信息
3.进入电影详情页面获取播放和下载地址
"""
# coding=utf-8
import requests
from lxml import etree
from time import time
# 请求头信息
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3... | 27.352941 | 136 | 0.618638 |
86b79b83668651257d8a84677c52f720ae506e90 | 74 | py | Python | src/onegov/org/formats/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/formats/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/formats/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.org.formats.digirez import DigirezDB
__all__ = ['DigirezDB']
| 18.5 | 48 | 0.783784 |
d490cc800bd0afa70ca1dd2baa2fbdb81706c3b5 | 645 | py | Python | pyntcloud/scalar_fields/base.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/scalar_fields/base.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/scalar_fields/base.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | from abc import ABC, abstractmethod
from collections import OrderedDict
class ScalarField(ABC):
"""Base class for scalar fields."""
def __init__(self, *, pyntcloud):
self.pyntcloud = pyntcloud
self.to_be_added = OrderedDict()
def get_and_set(self):
sf_added = []
for k, v ... | 21.5 | 45 | 0.592248 |
d4ef614df2b96758d9e07e597e3f6ed6a8d10866 | 3,197 | py | Python | project/api/schemas.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | project/api/schemas.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | 35 | 2022-01-24T22:15:59.000Z | 2022-03-31T15:01:35.000Z | project/api/schemas.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | from marshmallow import ValidationError, fields, missing, validate
from marshmallow.decorators import pre_load
from project.api import marshmallow
class SQLAlchemyBaseSchema(marshmallow.SQLAlchemySchema):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def make_post_schema(sel... | 31.038835 | 88 | 0.658743 |
be18167d42f7c6d4facf065dd338820b0761fc68 | 520 | py | Python | bot/handlers/users/get_voice.py | YoshlikMedia/STT-uzbek-bot | fec5d6a7bec4135aeb35a86970193654637194f5 | [
"MIT"
] | null | null | null | bot/handlers/users/get_voice.py | YoshlikMedia/STT-uzbek-bot | fec5d6a7bec4135aeb35a86970193654637194f5 | [
"MIT"
] | null | null | null | bot/handlers/users/get_voice.py | YoshlikMedia/STT-uzbek-bot | fec5d6a7bec4135aeb35a86970193654637194f5 | [
"MIT"
] | null | null | null | from aiogram import types
from transformers import pipeline
from loader import dp
@dp.message_handler(content_types=types.ContentType.VOICE)
async def get_voice(msg: types.Message):
await msg.reply("<b>Qabul qildim. Iltimos, biroz kuting!</b>")
with open('sample.flac', 'wb') as f:
await msg.voice.do... | 30.588235 | 80 | 0.698077 |
07a01fb881cc3a602222b8b7b45a955663c33e30 | 1,973 | py | Python | src/cobalt/bin/download_report_client.py | opensource-assist/fuschia | 66646c55b3d0b36aae90a4b6706b87f1a6261935 | [
"BSD-3-Clause"
] | 3 | 2020-08-02T04:46:18.000Z | 2020-08-07T10:10:53.000Z | src/cobalt/bin/download_report_client.py | opensource-assist/fuschia | 66646c55b3d0b36aae90a4b6706b87f1a6261935 | [
"BSD-3-Clause"
] | null | null | null | src/cobalt/bin/download_report_client.py | opensource-assist/fuschia | 66646c55b3d0b36aae90a4b6706b87f1a6261935 | [
"BSD-3-Clause"
] | 1 | 2020-08-07T10:11:49.000Z | 2020-08-07T10:11:49.000Z | #!/usr/bin/env python2.7
# Copyright 2017 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Script to download Cobalt's report client binary from Google Cloud Storage.
We detect the current platform and download the appro... | 29.447761 | 78 | 0.747086 |
07af7129f656fcdaccd344683c480d19ef3b1266 | 1,667 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v9_0/fix_subscription_next_date.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v9_0/fix_subscription_next_date.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v9_0/fix_subscription_next_date.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2017, Frappe and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.utils import getdate
from erpnext.accounts.doctype.subscription.subscription import get_next_schedule_date
def execute():
frappe.reload_doctype('Su... | 38.767442 | 101 | 0.746251 |
07b2e2781ec8feb53d88545d4b50042cd04645b5 | 247 | py | Python | frappe-bench/apps/erpnext/erpnext/domains/retail.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/domains/retail.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/domains/retail.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | data = {
'desktop_icons': [
'POS',
'Item',
'Customer',
'Sales Invoice',
'Purchase Order',
'Accounts',
'Task',
'ToDo'
],
'set_value': [
['Stock Settings', None, 'show_barcode_field', 1]
],
'default_portal_role': 'Customer'
}
| 14.529412 | 51 | 0.587045 |
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