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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b599964bb08598cc6fa04b30d376ce24e77977e4 | 27,830 | py | Python | Packs/CadoResponse/Integrations/CadoResponse/CadoResponse_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/CadoResponse/Integrations/CadoResponse/CadoResponse_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/CadoResponse/Integrations/CadoResponse/CadoResponse_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | ''' Tests for the Cado Response API Integration for the Cortex XSOAR Platform '''
from typing import Any, Dict, List, Union
from CommonServerPython import CommandResults, DemistoException
from pytest import raises
def test_module_command_success(requests_mock: Any) -> None:
'''
Successful test for the tes... | 31.234568 | 97 | 0.520086 |
a9903db9b21a0b6ff5861d72b506236d7658d780 | 1,690 | py | Python | classification/scripts/configs_hyperparameter_tuning/BoW_non_binary_best_f1.py | s-santoro/lunch-crawler | 1e39b1d35d76067a55b2c034d0488a6ec53f8a45 | [
"Apache-2.0"
] | 1 | 2020-07-11T04:24:40.000Z | 2020-07-11T04:24:40.000Z | classification/scripts/configs_hyperparameter_tuning/BoW_non_binary_best_f1.py | s-santoro/lunch-crawler | 1e39b1d35d76067a55b2c034d0488a6ec53f8a45 | [
"Apache-2.0"
] | null | null | null | classification/scripts/configs_hyperparameter_tuning/BoW_non_binary_best_f1.py | s-santoro/lunch-crawler | 1e39b1d35d76067a55b2c034d0488a6ec53f8a45 | [
"Apache-2.0"
] | null | null | null | class Configurations:
configs = [
#
# Configurations for Machine-Learning Pipeline
#
{# bow non binary best f1
# basic preprocessing
"textToLowerCase": True,
"textReplaceUmlaut": True,
"textRemoveSpecialCharacters": True,
"... | 30.727273 | 102 | 0.480473 |
1939d50954dcaabe88d64e7b445215908ac0ae4c | 3,207 | py | Python | pyramid-creator/app/persistance/custom_minio_client.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-11-04T17:06:07.000Z | 2021-11-04T17:06:07.000Z | pyramid-creator/app/persistance/custom_minio_client.py | JamesNeumann/learning-by-annotations | c2b5e4b653eeb1c973aa5a7dad35ac8be18cb1ad | [
"MIT"
] | 21 | 2021-11-01T10:13:56.000Z | 2021-12-02T10:02:13.000Z | pyramid-creator/app/persistance/custom_minio_client.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-12-16T18:20:55.000Z | 2021-12-16T18:20:55.000Z | import json
import os
from typing import Any
from minio import Minio
from minio.deleteobjects import DeleteObject
from loguru import logger
logger.add("minio_client.log", retention="1 week")
def policy(bucket_name):
return {
"Version": "2012-10-17",
"Statement": [
{
... | 34.483871 | 89 | 0.571874 |
d0ad1b3df97748390bfd2d57ab914543e85215b4 | 339 | py | Python | Curso_Python/Secao9-Django-Projeto-Agenda-163-183/projeto_agenda/accounts/models.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao9-Django-Projeto-Agenda-163-183/projeto_agenda/accounts/models.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao9-Django-Projeto-Agenda-163-183/projeto_agenda/accounts/models.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from django.db import models
from contatos.models import Contato # importar Contato de contato/views
from django import forms #importa os formularios que vai ser utilizado no dashboard
class FormContato(forms.ModelForm):
class Meta:
model = Contato # representar os campos contato
exclu... | 30.818182 | 86 | 0.722714 |
4bedb90255fb6d174708c5b00b68b248ea215571 | 3,334 | py | Python | ppyt/rules/exit_rules/__init__.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 4 | 2016-08-16T07:47:15.000Z | 2017-12-11T10:08:47.000Z | ppyt/rules/exit_rules/__init__.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | null | null | null | ppyt/rules/exit_rules/__init__.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 2 | 2018-06-15T04:43:15.000Z | 2020-05-02T07:47:15.000Z | # coding: utf-8
import logging
import abc
from ppyt import const
from ppyt.rules import RuleBase
from ppyt.decorators import handle_nodataerror
from ppyt.exceptions import OrderTypeError
logger = logging.getLogger(__name__)
class ExitBase(RuleBase, metaclass=abc.ABCMeta):
"""exit_ruleの親クラスです。"""
_rule_type ... | 27.327869 | 108 | 0.625975 |
3239f9107e0b41afa4327165c26fe1cc0348f926 | 13,010 | py | Python | src/onegov/search/integration.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/search/integration.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/search/integration.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import certifi
import morepath
import ssl
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime
from elasticsearch import ConnectionError # shadows a python builtin!
from elasticsearch import Elasticsearch
from elasticsearch import Transport
from elasticsearch import TransportError
from elas... | 31.731707 | 79 | 0.601384 |
3240909f0d0d6d92bea3adce0aeded1888a6668e | 935 | py | Python | dict.py | GShamian/ExamInf | 81f521d0b137eee0a4c7f53443303f419e7c33ef | [
"MIT"
] | 2 | 2017-12-22T20:03:30.000Z | 2017-12-24T20:55:38.000Z | dict.py | GShamian/ExamInf | 81f521d0b137eee0a4c7f53443303f419e7c33ef | [
"MIT"
] | null | null | null | dict.py | GShamian/ExamInf | 81f521d0b137eee0a4c7f53443303f419e7c33ef | [
"MIT"
] | null | null | null | class Dict():
def __init__(self):
self.data = []
def check(self, k):
for i in range(len(self.data)):
if k == self.data[i][0]:
return i + 1
return False
def append(self, key, val):
pos = self.check(key)
if not pos:
self.data.ap... | 21.744186 | 43 | 0.530481 |
08ea74adf5a0e22f3b9febe2ae09a040d5dc1b1d | 1,787 | py | Python | PYTHON/Regex_and_Parsing/html_parser_part1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Regex_and_Parsing/html_parser_part1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Regex_and_Parsing/html_parser_part1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from html.parser import HTMLParser
class MyHTMLParser(HTMLParser):
def handle_starttag(self, tag, attrs):
print('Start :', tag)
for ele in attrs:
print('->', ele[0], '>', ele[1])
def handle_endtag(self, tag):
print('End :', tag)
def handle_sta... | 29.295082 | 81 | 0.429211 |
261d72c47120ff61540fd90e11140ccb999b076c | 383 | py | Python | Contests/CCC/CCC '05 J3 - Returning Home.py | MastaCoder/Projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | 5 | 2018-10-11T01:55:40.000Z | 2021-12-25T23:38:22.000Z | Contests/CCC/CCC '05 J3 - Returning Home.py | MastaCoder/mini_projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | null | null | null | Contests/CCC/CCC '05 J3 - Returning Home.py | MastaCoder/mini_projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | 1 | 2019-02-22T14:42:50.000Z | 2019-02-22T14:42:50.000Z | info = []
t = 0
while True:
info.append(input())
if info[t] == "SCHOOL":
break
t += 1
for a in range(len(info) - 2, -1, -2):
print("Turn ", end = "")
if info[a] == "R":
print("LEFT ", end = "")
else:
print("RIGHT ", end = "")
if a == 0:
print("into your HOME... | 20.157895 | 49 | 0.43342 |
cd07552a407c10b2d2c6b40c2b944b60f4308486 | 588 | py | Python | leetcode/494-Target-Sum/TargetSum.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/494-Target-Sum/TargetSum.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/494-Target-Sum/TargetSum.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def findTargetSumWays(self, nums, S):
"""
:type nums: List[int]
:type S: int
:rtype: int
"""
res = 0
ma = sum(nums)
tmp = [0] * (2 * ma + 1)
cnt = tmp[:]
cnt[ma] = 1
for num in nums:
for i in ... | 25.565217 | 42 | 0.353741 |
26fcefad87f0f270474af7c938dd087ed8a36f39 | 2,893 | py | Python | Packs/MalwareInvestigationAndResponse/Scripts/ReadProcessesFileXDR/ReadProcessesFileXDR.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | Packs/MalwareInvestigationAndResponse/Scripts/ReadProcessesFileXDR/ReadProcessesFileXDR.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 40 | 2022-03-03T07:34:00.000Z | 2022-03-31T07:38:35.000Z | Packs/MalwareInvestigationAndResponse/Scripts/ReadProcessesFileXDR/ReadProcessesFileXDR.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
from typing import Union
import re
CONTEXT_PATH_TO_READ_PROCESS_FILE_NAME_FROM_XDR_DATA = "PaloAltoNetworksXDR.ScriptResult"
def read_xdr_context():
script_results = demisto.get(demisto.context(), CONTEXT_PATH_TO_READ_PROC... | 29.222222 | 105 | 0.654338 |
6ef69e53f6eabb0cf94c5f6aed87cc810bb004b5 | 9,833 | py | Python | official/nlp/tinybert/run_general_distill.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/tinybert/run_general_distill.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/tinybert/run_general_distill.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020 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... | 47.502415 | 114 | 0.641818 |
3e6c1fd805993d26a14ddc2a29231b8e60107c39 | 7,534 | py | Python | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pybedtools-0.7.6-py2.7-linux-x86_64.egg/pybedtools/contrib/intersection_matrix.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pybedtools-0.7.6-py2.7-linux-x86_64.egg/pybedtools/contrib/intersection_matrix.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pybedtools-0.7.6-py2.7-linux-x86_64.egg/pybedtools/contrib/intersection_matrix.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | import os
import sys
import sqlite3
import pybedtools
import time
import collections
def now():
return time.time()
def get_name(fname):
return os.path.splitext(os.path.basename(fname))[0]
class IntersectionMatrix(object):
"""
Class to handle many pairwise comparisons of interval files
"""
... | 29.896825 | 79 | 0.510486 |
3e8e8d3d490faca2969c8eb532c777051e6aebde | 1,700 | py | Python | controller/clock1m.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | 1 | 2021-06-15T08:59:02.000Z | 2021-06-15T08:59:02.000Z | controller/clock1m.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | null | null | null | controller/clock1m.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | null | null | null |
# https://schedule.readthedocs.io by Dan Bader
import schedule
import threading
import time
handler_list = []
def add_handler(f):
global handler_list
handler_list.append(f)
def _call_handler():
for f in handler_list:
f()
def start():
schedule.every().minute.at(":00").do(_call_handler)... | 24.285714 | 76 | 0.631176 |
4bb7807ba5a773c8b884f852c3d576cae2a1bcbd | 1,120 | py | Python | scripts/ue01_turtlesim_richtung_zum_ziel/ue01_dir_to_goal.py | ProfJust/Ruhr-TurtleBot-Competition-RTC- | 5c2425bee331b4d5033757a9425676932d111775 | [
"Unlicense",
"MIT"
] | null | null | null | scripts/ue01_turtlesim_richtung_zum_ziel/ue01_dir_to_goal.py | ProfJust/Ruhr-TurtleBot-Competition-RTC- | 5c2425bee331b4d5033757a9425676932d111775 | [
"Unlicense",
"MIT"
] | null | null | null | scripts/ue01_turtlesim_richtung_zum_ziel/ue01_dir_to_goal.py | ProfJust/Ruhr-TurtleBot-Competition-RTC- | 5c2425bee331b4d5033757a9425676932d111775 | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python
# --- ue01_dir_to_goal.py ------
# Version vom 11.10.2021 by OJ
# Weg zum Ziel in der TurtleSim berechnen
# ---------------------------------------
# Import math Library wegen atan2()
import math
print(" Weg zum Ziel berechnen \n")
# --- Eingabe Pose ------
eingabe = input(" Pose x ? >:") # st... | 24.888889 | 55 | 0.6 |
2997b0878b5e21cf97a7d1a64074fbf56bdb9fed | 102 | py | Python | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-003/pg-3.2-variable-more-value.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-003/pg-3.2-variable-more-value.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-003/pg-3.2-variable-more-value.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | number1 = 10
print(number1)
number1 = 15
number1 = 18
print(number1)
number1 = "hello"
print(number1)
| 12.75 | 17 | 0.735294 |
4b177d9fbd6f139a542c4bc55243d7d1e1e43367 | 523 | py | Python | 01.DataStructure/Tree/NY/B9934_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 01.DataStructure/Tree/NY/B9934_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 01.DataStructure/Tree/NY/B9934_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | #백준 - 완전 이진 트리 9934
import sys
k = int(input())
numOrder = sys.stdin.readline().split()
bt = []
for i in range (k) :
bt.append([])
#재귀함수
def binaryArr (arr, lev) :
if len(arr) == 1 :
bt[lev].append(arr[0])
return bt
else :
#배열의 중간을 뽑아냄
middle = len(arr) // 2
bt[le... | 16.870968 | 42 | 0.521989 |
6aab5b7b87cbb40fcf269f18a3f6109c4984345f | 665 | py | Python | demo/cnn_lstm_predict.py | Adrimeov/keras-malicious-url-detector | 22b8d075b41117f016100bb5ebff14a77907dacb | [
"MIT"
] | 23 | 2018-03-06T07:13:08.000Z | 2022-03-15T15:13:01.000Z | demo/cnn_lstm_predict.py | aligeekk/keras-malicious-url-detector | ccf316e1f7b1714cdfc34ff4dec4dd938b6e703c | [
"MIT"
] | null | null | null | demo/cnn_lstm_predict.py | aligeekk/keras-malicious-url-detector | ccf316e1f7b1714cdfc34ff4dec4dd938b6e703c | [
"MIT"
] | 21 | 2018-03-06T07:40:14.000Z | 2022-03-13T18:53:33.000Z | from keras_malicious_url_detector.library.cnn_lstm import CnnLstmPredictor
from keras_malicious_url_detector.library.utility.url_data_loader import load_url_data
def main():
data_dir_path = './data'
model_dir_path = './models'
predictor = CnnLstmPredictor()
predictor.load_model(model_dir_path)
... | 27.708333 | 86 | 0.682707 |
0afa9cdf2937f69be5d350bb1429390cf9554133 | 350 | py | Python | DataStructure/U9/U9_59.py | qiaw99/Data-Structure | 3b1cdce96d4f35329ccfec29c03de57378ef0552 | [
"MIT"
] | 1 | 2019-10-29T08:21:41.000Z | 2019-10-29T08:21:41.000Z | DataStructure/U9/U9_59.py | qiaw99/Data-Structure | 3b1cdce96d4f35329ccfec29c03de57378ef0552 | [
"MIT"
] | null | null | null | DataStructure/U9/U9_59.py | qiaw99/Data-Structure | 3b1cdce96d4f35329ccfec29c03de57378ef0552 | [
"MIT"
] | null | null | null | def hashfunction():
t_values = [0, 1, 2, 3, 4, 5, 13, 20]
res = {}
for t in t_values:
temp = [0 for i in range(1024)]
for i in range(1024):
temp[ (t*i) % 1024] += 1
m = max(temp)
print(m)
res[t] = m
print(res)
return res
hashfunction()
print("Perm... | 21.875 | 41 | 0.482857 |
7c22d796f081259e67e14003deb2d9af90b2d3a4 | 11,466 | py | Python | Integrations/python/deephaven/npy/table2numpy.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | null | null | null | Integrations/python/deephaven/npy/table2numpy.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 1 | 2022-03-03T21:24:40.000Z | 2022-03-03T21:24:54.000Z | Integrations/python/deephaven/npy/table2numpy.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | null | null | null | #
# Copyright (c) 2016-2021 Deephaven Data Labs and Patent Pending
#
"""Utilities for converting between Deephaven tables and numpy arrays."""
import collections
import jpy
import wrapt
import numpy as np
__all__ = ['numpy_sample', 'numpy_slice']
_class_name_ = "io.deephaven.integrations.numpy.Java2NumpyCopy"
_Ja... | 35.171779 | 125 | 0.674865 |
7ca1d9416a773c518cb6783de20a08281b47975b | 1,447 | py | Python | listings/chapter06/bag_of_words.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter06/bag_of_words.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter06/bag_of_words.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
# Eine Bag of Words ausgeben
def print_bag(vectorizer, bag_of_words):
features = vectorizer.get_feature_names()
print("Wörter:", features)
print("Daten:")
stats = bag_of_words.toarray()
print(stats)
print("Angewandt:... | 34.452381 | 69 | 0.724257 |
7cb42bb7b3df80fbda47803c4a64a43c9cda501a | 623 | py | Python | books/PythonCleanCode/ch9_design_pattern/monostate_1.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonCleanCode/ch9_design_pattern/monostate_1.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonCleanCode/ch9_design_pattern/monostate_1.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """Clean Code in Python - Chatper 9: Common Design Patterns
> Monostate Pattern
"""
from log import logger
class GitFetcher:
_current_tag = None
def __init__(self, tag):
self.current_tag = tag
@property
def current_tag(self):
if self._current_tag is None:
... | 23.074074 | 60 | 0.634029 |
86e6e2f675826d43338982a6de392353eb3c11e3 | 2,868 | py | Python | 8_DeepLearning-Autoencoder/Variational_Autoencoder/Variational_Autoencoder.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 8_DeepLearning-Autoencoder/Variational_Autoencoder/Variational_Autoencoder.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 8_DeepLearning-Autoencoder/Variational_Autoencoder/Variational_Autoencoder.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | '''
ähnlich zum GAN bzw. selbe "Funktion" -> aber GANs nutzen, da genauer bzw. "besser"
'''
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
tf.compat.v1.disable_eager_execution()
from tensorflow.keras.layers import *
from tensorflow.keras.models import *
from tensorflow.keras.optimizers im... | 29.56701 | 91 | 0.723849 |
be0c427d2fc718420acf65a8f529b8f67151e332 | 7,176 | py | Python | model_zoo/electra/deploy/lite/prepare.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | model_zoo/electra/deploy/lite/prepare.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | model_zoo/electra/deploy/lite/prepare.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | import argparse
import time
import numpy as np
import os
import io
import shutil
import fileinput
from paddlenlp.transformers import ElectraTokenizer
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--lite_lib_path",
type=str,
required=... | 36.612245 | 111 | 0.589047 |
07feaf7cb84f9a6dc5718377313e81180e679ed2 | 9,635 | py | Python | src/onegov/user/collections/user.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/user/collections/user.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/user/collections/user.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from collections.abc import Iterable
from onegov.core.crypto import random_token
from onegov.core.utils import toggle
from onegov.user import log
from onegov.user.models import User
from onegov.user.errors import (
AlreadyActivatedError,
ExistingUserError,
InsecurePasswordError,
InvalidActivationTokenEr... | 29.375 | 79 | 0.598028 |
ed017604138eef80cb59a780f438879d9922f363 | 3,465 | py | Python | UAS/UAS 7.py | Archedar/UAS | 3237d9304026340acc93c8f36b358578dc0ae66f | [
"BSD-Source-Code"
] | null | null | null | UAS/UAS 7.py | Archedar/UAS | 3237d9304026340acc93c8f36b358578dc0ae66f | [
"BSD-Source-Code"
] | null | null | null | UAS/UAS 7.py | Archedar/UAS | 3237d9304026340acc93c8f36b358578dc0ae66f | [
"BSD-Source-Code"
] | null | null | null | #Alpro uas no 7
wadah1, wadah2, wadah3, benar = [
1, 2, 3, 4, 5
], [
' ', ' ', ' ', ' ', ' '
], [
' ', ' ', ' ', ' ', ' '
], [
1, 2, 3, 4, 5
]
langkah = 0
while True:
print('')
for i in range(len(wadah1)):
print(f'|{wadah1[i]} {wadah2[i]} {wadah3[i]}|')
print(' a b c ')
input... | 25.477941 | 83 | 0.492063 |
1361b86ce11cfbad9570e38da40190d5d10f9819 | 25,607 | py | Python | tests/onegov/ballot/models/test_election.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/ballot/models/test_election.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/ballot/models/test_election.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import date
from freezegun import freeze_time
from onegov.ballot import Candidate
from onegov.ballot import CandidateResult
from onegov.ballot import Election
from onegov.ballot import ElectionAssociation
from onegov.ballot import ElectionResult
from uuid import uuid4
def majorz_election():
eid = uu... | 27.713203 | 79 | 0.62643 |
136d93f6c1aed951f8d6717290e1697f8d28bbb6 | 3,092 | py | Python | Packs/FeedRSS/Integrations/FeedRSS/FeedRSS_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/FeedRSS/Integrations/FeedRSS/FeedRSS_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/FeedRSS/Integrations/FeedRSS/FeedRSS_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
from FeedRSS import *
from requests.models import Response
from test_data.test_variables import HTML_CONTENT, FEED_DATA, TEST_DATA_MAX_SIZE
def side_effect_feed_url(mocker, client):
feed_content_res = Response()
type(feed_content_res).status_code = mocker.PropertyMock(return_value=200)
type(... | 37.707317 | 120 | 0.722186 |
137032fd274045cb25558a8f3d17450f9004bfa8 | 1,151 | py | Python | exercises/python/data-types/collections/pilling-up-recursive.py | rogeriosantosf/hacker-rank-profile | d4b9c131524d138c415e5c5de4e38c6b8c35dd77 | [
"MIT"
] | null | null | null | exercises/python/data-types/collections/pilling-up-recursive.py | rogeriosantosf/hacker-rank-profile | d4b9c131524d138c415e5c5de4e38c6b8c35dd77 | [
"MIT"
] | null | null | null | exercises/python/data-types/collections/pilling-up-recursive.py | rogeriosantosf/hacker-rank-profile | d4b9c131524d138c415e5c5de4e38c6b8c35dd77 | [
"MIT"
] | null | null | null | from collections import deque
def grab_a_cube(cubes):
if len(cubes) == 1:
return cubes.pop()
else:
leftmost = cubes.popleft()
rightmost = cubes.pop()
if leftmost > rightmost:
cubes.append(rightmost)
return leftmost
else:
cubes.appendl... | 25.021739 | 74 | 0.592528 |
e06560c9814c3f9f424ae935c9a031b772554c8f | 3,604 | py | Python | pyBarcode-0.6/barcode/isxn.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 1 | 2018-12-15T04:07:38.000Z | 2018-12-15T04:07:38.000Z | pyBarcode-0.6/barcode/isxn.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 14 | 2015-01-02T10:37:33.000Z | 2021-10-03T13:42:15.000Z | pyBarcode-0.6/barcode/isxn.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 1 | 2018-12-15T04:07:40.000Z | 2018-12-15T04:07:40.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
"""barcode.isxn
This module provides some special codes, which are no standalone barcodes.
All codes where transformed to EAN-13 barcodes. In every case, the checksum
is new calculated.
Example::
>>> from barcode import get_barcode
>>> ISBN = ... | 28.377953 | 79 | 0.619312 |
16922565252667c1b18734e5b4f99af40102f4f0 | 1,052 | py | Python | source/pkgsrc/databases/py-sqlite3/files/setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/databases/py-sqlite3/files/setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/databases/py-sqlite3/files/setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | # $NetBSD: setup.py,v 1.2 2010/02/19 17:15:11 joerg Exp $
from distutils.core import setup, Extension
sqlite_prefix = '@SQLITE_PREFIX@'
sqlite_incdir = sqlite_prefix + '/include'
sqlite_libdir = sqlite_prefix + '/lib'
sqlite_defines = [('MODULE_NAME', '"sqlite3"')]
sqlite_srcs = ['_sqlite/cache.c',
'... | 30.941176 | 57 | 0.542776 |
16cbdd118c88224a3bce763a70dccfe6ad0685a4 | 4,813 | py | Python | CGR/T2/castle.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 10 | 2020-12-08T20:18:15.000Z | 2021-06-07T20:00:07.000Z | CGR/T2/castle.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-06-28T03:42:13.000Z | 2021-06-28T16:53:13.000Z | CGR/T2/castle.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-01-14T19:59:20.000Z | 2021-06-15T11:53:21.000Z | from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
from colors import *
from math import pi, sin, cos
from shapes import (
SolidRectangle,
SolidCylinder,
SolidPrismaTriangular,
DrawTower,
DrawWall,
)
scale = 8.0
angle_h = 300.0
angle_v = 0
spin = True
turn_h = 1
turn_v = 0
r... | 22.077982 | 65 | 0.640972 |
16ed431324157c3dbc26f980bdb61920eff02e28 | 582 | py | Python | listings/chapter04/dirs.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter04/dirs.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter04/dirs.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | from os import listdir
from os.path import isfile, isdir
from sys import argv
def print_dir(directory, indent = 0):
for entry in listdir(directory):
path = f"{directory}/{entry}"
if isdir(path):
prefix = 'D'
elif isfile(path):
prefix = 'F'
else:
p... | 24.25 | 48 | 0.536082 |
bc8af235ccade967ed47922a5bb66565a88187d6 | 3,507 | py | Python | CC8130-SegurancaDaInformacao/Atv-Criptografia/Atv.py | phdomingues/FEI-CS | e1dc19c190d61f5f13492ba5179f5d41295f1b50 | [
"MIT"
] | null | null | null | CC8130-SegurancaDaInformacao/Atv-Criptografia/Atv.py | phdomingues/FEI-CS | e1dc19c190d61f5f13492ba5179f5d41295f1b50 | [
"MIT"
] | null | null | null | CC8130-SegurancaDaInformacao/Atv-Criptografia/Atv.py | phdomingues/FEI-CS | e1dc19c190d61f5f13492ba5179f5d41295f1b50 | [
"MIT"
] | null | null | null | import json
FILE_NAME = 'Chaves de Criptografia 2021.S2.txt'
DEBUG = True
class bcolors:
GREEN = '\033[92m'
RED = '\033[91m'
BOLD = '\033[1m'
ENDC = '\033[0m'
def monobit_test(bin_string):
# Conta zeros
X = bin_string.count("1")
# Verifica se esta no range valido
approved = X > 9654 a... | 32.775701 | 136 | 0.53493 |
4c68d29975650d5be2ffd770e3bde1622afc1862 | 923 | py | Python | nachmittags/blatt2_2.py | dotKuro/vorsemesterWISE19-20 | 436c6d1846b6c1bfb087652e8ca179bd1b12c28e | [
"CC0-1.0"
] | 1 | 2019-09-27T13:47:20.000Z | 2019-09-27T13:47:20.000Z | nachmittags/blatt2_2.py | dotKuro/vorsemesterWISE19-20 | 436c6d1846b6c1bfb087652e8ca179bd1b12c28e | [
"CC0-1.0"
] | null | null | null | nachmittags/blatt2_2.py | dotKuro/vorsemesterWISE19-20 | 436c6d1846b6c1bfb087652e8ca179bd1b12c28e | [
"CC0-1.0"
] | null | null | null | from math import inf
# eigene Funktion impotieren
from test import frage_passwort
def square_number(number):
"""f(x) = x^2 (x hoch 2)"""
return number * number
# Aufgabe 2a.2
def get_smallest_number(numbers):
"""a)"""
smallest_number = inf
for number in numbers:
if number < smallest_num... | 20.065217 | 47 | 0.653304 |
d5c0f6fa8d7303d8f9a3fdc2f3f8c00f87ed43d5 | 513 | py | Python | scripts/csvToJson.py | iisisrael/readium-desktop | 17c866a684fe3ac2ef6dcd46723856fb8315507e | [
"BSD-3-Clause"
] | null | null | null | scripts/csvToJson.py | iisisrael/readium-desktop | 17c866a684fe3ac2ef6dcd46723856fb8315507e | [
"BSD-3-Clause"
] | null | null | null | scripts/csvToJson.py | iisisrael/readium-desktop | 17c866a684fe3ac2ef6dcd46723856fb8315507e | [
"BSD-3-Clause"
] | null | null | null | import json
import csv
import sys
path = sys.argv[1]
resultPath = sys.argv[2]
languageNameId = int(sys.argv[3])
codeId = int(sys.argv[4])
resultObj = {}
with open(path) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count != 0:
... | 20.52 | 65 | 0.660819 |
5dcdbf3e1992687a754097c448269886db940bcb | 21,481 | py | Python | Packs/CortexXDR/Scripts/XDRSyncScript_5_9_9/XDRSyncScript_5_9_9.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CortexXDR/Scripts/XDRSyncScript_5_9_9/XDRSyncScript_5_9_9.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CortexXDR/Scripts/XDRSyncScript_5_9_9/XDRSyncScript_5_9_9.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import dateparser
import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
from dateutil import parser
import copy
from typing import Optional, Dict
import traceback
# XDR_FIELDS
INCIDENT_ID_XDR_FIELD = "incident_id"
MANUAL_SEVERITY_XDR_FIELD = "manual_severity"
MANUAL_DESCR... | 45.414376 | 120 | 0.676784 |
b90a78728b66875a177e1b7cba04566c867a4f1e | 2,379 | py | Python | pureflood3-master/pureflood.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | pureflood3-master/pureflood.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | pureflood3-master/pureflood.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import os
import sys
import socket
import random
import threading
"""
Educational purpose only
I'm not responsible for your actions
-----------------------------------------------------
Created By: TheTechHacker
SUBSCRIBE: https://www.youtube.com/channel/UCKAmv8p_TRvUNrJlfiB8qBQ
"""
if sys.platform == ... | 33.041667 | 117 | 0.618327 |
5d51683ab72a2ccd4f3f9301b90c4052b25a21ce | 5,472 | py | Python | research/cv/STGAN/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/STGAN/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/STGAN/infer/sdk/main.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... | 33.987578 | 95 | 0.607456 |
071aa2018b625e12244b0d29a054e918f15e219b | 25,352 | py | Python | python/oneflow/compatible/single_client/test/ops/test_unary_elementwise_ops.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_unary_elementwise_ops.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_unary_elementwise_ops.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... | 40.824477 | 86 | 0.646142 |
4acdb1db44edda195b55acf9aa63f99693ed0a3f | 260 | py | Python | app.py | limazix/analytica-ms-service1 | 6e4fa7a5af7a3621dc246e37f16c2ec4ea37c6d8 | [
"Apache-2.0"
] | null | null | null | app.py | limazix/analytica-ms-service1 | 6e4fa7a5af7a3621dc246e37f16c2ec4ea37c6d8 | [
"Apache-2.0"
] | null | null | null | app.py | limazix/analytica-ms-service1 | 6e4fa7a5af7a3621dc246e37f16c2ec4ea37c6d8 | [
"Apache-2.0"
] | null | null | null | from flask import Flask
from markupsafe import escape
app = Flask(__name__)
@app.route("/")
def root():
return "Service 1"
@app.route("/hello/<username>")
def hello(username):
return "Hello {} from Service 1".format(
escape(username)
)
| 16.25 | 44 | 0.657692 |
db5fc62ffc4238c09d4925b97940976ec799bf9b | 741 | py | Python | tests/numbatest.py | metxchris/MMM-Explorer | 251b4d7af56241882611bc47e94ec2923e4be8da | [
"MIT"
] | null | null | null | tests/numbatest.py | metxchris/MMM-Explorer | 251b4d7af56241882611bc47e94ec2923e4be8da | [
"MIT"
] | null | null | null | tests/numbatest.py | metxchris/MMM-Explorer | 251b4d7af56241882611bc47e94ec2923e4be8da | [
"MIT"
] | null | null | null | import numpy as np
import numba
from numba import jit
from timeit import timeit, repeat
print(numba.__version__)
@jit(nopython=True)
def go_fast(a): # Function is compiled to machine code when called the first time
trace = 0.0
# assuming square input matrix
for i in range(a.shape[0]): # Numba likes loop... | 27.444444 | 81 | 0.678812 |
dbcf983aae3fe7701545e1acaac8bcae8b1438aa | 1,199 | py | Python | python/Stepper.py | thomas-trendsoft/BeerBot | 9ac9bfcede3f37dc8aaa3ee09e06272a1b43a9e9 | [
"MIT"
] | null | null | null | python/Stepper.py | thomas-trendsoft/BeerBot | 9ac9bfcede3f37dc8aaa3ee09e06272a1b43a9e9 | [
"MIT"
] | null | null | null | python/Stepper.py | thomas-trendsoft/BeerBot | 9ac9bfcede3f37dc8aaa3ee09e06272a1b43a9e9 | [
"MIT"
] | 1 | 2020-12-31T01:22:19.000Z | 2020-12-31T01:22:19.000Z | import RPi.GPIO as GPIO
import time
# Base class for 28BYJ-48 stepper motor
# should have 2038 steps a round for this sequence
class Stepper:
# init driver class
def __init__(self):
self.pins = [22,23,24,25]
self.seq = [[1,1,0,0],[0,1,1,0],[0,0,1,1],[1,0,0,1]]
self.seqsize = len... | 30.74359 | 64 | 0.504587 |
72646a33c918c62fa3cbd18fb4027f0eb35f4913 | 2,839 | py | Python | research/cv/tgcn/src/metrics.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/tgcn/src/metrics.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/tgcn/src/metrics.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... | 31.898876 | 120 | 0.649877 |
f4221948b966eb4f95457d23e7ddbc67cc864084 | 92 | py | Python | 2014/06/table-alcohol-deaths/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/06/table-alcohol-deaths/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/06/table-alcohol-deaths/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '1yUF_0zeHyloc8_c0NYJh3Mej81JdVl6VVYkhmKlcm7c'
| 23 | 68 | 0.847826 |
f44b8e28027a6451decce185c30c1f7c3d5074e4 | 162 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 23/23.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | 50-Python-Exercises/Exercises/Exercise 23/23.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | 50-Python-Exercises/Exercises/Exercise 23/23.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #Access the third value of key b.
from pprint import pprint
d = dict(a = list(range(1, 11)), b = list(range(11, 21)), c = list(range(21, 31)))
pprint(d['b'][2])
| 27 | 82 | 0.62963 |
f46ad30f132d181e120eab3b54c0c7780a3ef72b | 1,372 | py | Python | home-assistant/custom_components/nodered/const.py | Adamvg/SmartHouse | 740b010260f6f6b38a19e2a75d431446abd54253 | [
"MIT"
] | null | null | null | home-assistant/custom_components/nodered/const.py | Adamvg/SmartHouse | 740b010260f6f6b38a19e2a75d431446abd54253 | [
"MIT"
] | null | null | null | home-assistant/custom_components/nodered/const.py | Adamvg/SmartHouse | 740b010260f6f6b38a19e2a75d431446abd54253 | [
"MIT"
] | null | null | null | """Constants for Node-RED."""
# Base component constants
DOMAIN = "nodered"
DOMAIN_DATA = f"{DOMAIN}_data"
VERSION = "0.4.3"
REQUIRED_FILES = [
"translations/en.json",
"binary_sensor.py",
"config_flow.py",
"const.py",
"discovery.py",
"manifest.json",
"sensor.py",
"services.y... | 26.384615 | 62 | 0.715015 |
beb3589fa9afbf08be89e07996f0d3a491107bb0 | 760 | py | Python | books/PythonAutomate/excel_spreadsheets/blank_row_inserter.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/excel_spreadsheets/blank_row_inserter.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/excel_spreadsheets/blank_row_inserter.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """blank_row_inserter.py
명령행 매개변수로 두 개의 정수와 파일 이름을 문자열로 받는 프로그램
ex) python blank_row_inserter.py 3 2 <*.xlsx>
"""
import sys
import openpyxl
if len(sys.argv) != 4:
print(f"python {__file__} <start_row> <blank_size> <excel file>")
sys.exit(1)
start_row = int(sys.argv[1])
blank_size = int(sys.argv[2])
file_name... | 24.516129 | 78 | 0.694737 |
fe2a7a2263cadc7ffe81d0b4b656cee2312d97ea | 33 | py | Python | Locker_Pro_V3/main.py | huynhquoc1990/Locker_Pro_V3 | 190173c5b183b227e18e42a9a36a428c1206e3c1 | [
"MIT"
] | null | null | null | Locker_Pro_V3/main.py | huynhquoc1990/Locker_Pro_V3 | 190173c5b183b227e18e42a9a36a428c1206e3c1 | [
"MIT"
] | null | null | null | Locker_Pro_V3/main.py | huynhquoc1990/Locker_Pro_V3 | 190173c5b183b227e18e42a9a36a428c1206e3c1 | [
"MIT"
] | null | null | null | def Hi(name):
print('Hi',name)
| 11 | 18 | 0.606061 |
feb4eb1d4d50ffa5fcfb54ef582ee824cf2dccd5 | 1,868 | py | Python | figure2.py | aafaquerk/Solar_ML_Group | 4e7121eb2f86899754553e2031de0c3656f79cd9 | [
"MIT"
] | null | null | null | figure2.py | aafaquerk/Solar_ML_Group | 4e7121eb2f86899754553e2031de0c3656f79cd9 | [
"MIT"
] | null | null | null | figure2.py | aafaquerk/Solar_ML_Group | 4e7121eb2f86899754553e2031de0c3656f79cd9 | [
"MIT"
] | null | null | null | """
Purpose: To generate Figure 2 in Bobra & Illonidis (2016).
Inputs: Figure 2 was generated by running the cme_svm.ipynb code with different values for the timedelayvariable, ranging from 48 to 4 hours before the GOES X-ray flare peak time, in 4 hour intervals. The plot will not be exactly the same as the pape... | 50.486486 | 464 | 0.752677 |
6073cce52845575c7b958a60ed656dcfc9d17989 | 88 | py | Python | CS205/assignment4/testdata/test.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 22 | 2018-08-07T06:55:10.000Z | 2021-06-12T02:12:19.000Z | CS205/assignment4/testdata/test.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 28 | 2020-03-04T23:47:22.000Z | 2022-02-26T18:50:00.000Z | CS205/assignment4/testdata/test.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 4 | 2019-11-09T15:41:26.000Z | 2021-10-10T08:56:57.000Z | with open('test.txt', 'rb') as f:
data = f.read()
for i in data:
print(bin(i))
| 14.666667 | 33 | 0.545455 |
880671549d4c04b5d27e549879a16a8543f057a8 | 9,107 | py | Python | rfvision/components/keypoint_head/topdown_heatmap_simple_head_3d.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 6 | 2021-09-25T03:53:06.000Z | 2022-02-19T03:25:11.000Z | rfvision/components/keypoint_head/topdown_heatmap_simple_head_3d.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 1 | 2021-07-21T13:14:54.000Z | 2021-07-21T13:14:54.000Z | rfvision/components/keypoint_head/topdown_heatmap_simple_head_3d.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 2 | 2021-07-16T03:25:04.000Z | 2021-11-22T06:04:01.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from rfvision.components.keypoint_head import Heatmap3DHead, Heatmap1DHead, MultilabelClassificationHead
from rfvision.core.evaluation_pose.top_down_eval import (
keypoints_from_heatmaps3d, multilabel_classificatio... | 39.595652 | 164 | 0.596245 |
4603153d8a07c8b448a7663697769d82774f2128 | 2,896 | py | Python | Backend/views/osm.py | dbvis-ukon/coronavis | f00374ac655c9d68541183d28ede6fe5536581dc | [
"Apache-2.0"
] | 15 | 2020-04-24T20:18:11.000Z | 2022-01-31T21:05:05.000Z | Backend/views/osm.py | dbvis-ukon/coronavis | f00374ac655c9d68541183d28ede6fe5536581dc | [
"Apache-2.0"
] | 2 | 2021-05-19T07:15:09.000Z | 2022-03-07T08:29:34.000Z | Backend/views/osm.py | dbvis-ukon/coronavis | f00374ac655c9d68541183d28ede6fe5536581dc | [
"Apache-2.0"
] | 4 | 2020-04-27T16:20:13.000Z | 2021-02-23T10:39:42.000Z | import json
from flask import Blueprint, Response
from cache import cache
from db import db
routes = Blueprint('osm', __name__, url_prefix='/osm')
@routes.route('/hospitals', methods=['GET'])
@cache.cached()
def get_osm_hospitals():
"""
Return all Hospitals
"""
sql_stmt = '''
SELECT
... | 27.320755 | 115 | 0.55076 |
460b2eb45b5f31230811212c2fcbab1991156e35 | 1,088 | py | Python | test/attack/inversion/test_m1face.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:44.000Z | 2022-03-17T21:17:44.000Z | test/attack/inversion/test_m1face.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | null | null | null | test/attack/inversion/test_m1face.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:46.000Z | 2022-03-17T21:17:46.000Z | def test_m1face():
import torch.nn as nn
from aijack.attack import MI_FACE
class LeNet(nn.Module):
def __init__(self, channel=3, hideen=768, num_classes=10):
super(LeNet, self).__init__()
act = nn.Sigmoid
self.body = nn.Sequential(
nn.Conv2d(chan... | 32 | 80 | 0.528493 |
1cca3574b5e24563e5285fc41e3bcb077f913b4c | 1,181 | py | Python | python_project/python/VisitFile.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | python_project/python/VisitFile.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | python_project/python/VisitFile.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | import os, sys
listonly = False
skipexts = ['.gif', '.exe', '.pyc', '.o', '.a','.dll','.lib','.pdb','.mdb'] # ignore binary files
def visitfile(fname, searchKey): # for each non-dir file
global fcount, vcount
try:
if not listonly:
... | 35.787879 | 104 | 0.538527 |
98e076e060e37f0b013b43e6a439eb842a4ce549 | 460 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v7_2/move_dates_from_salary_structure_to_employee.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_2/move_dates_from_salary_structure_to_employee.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_2/move_dates_from_salary_structure_to_employee.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | import frappe
def execute():
frappe.reload_doc('hr', 'doctype', 'salary_structure_employee')
salary_structures = frappe.db.sql("""select name, to_date, from_date from `tabSalary Structure`""", as_dict=True)
for salary_structure in salary_structures:
frappe.db.sql(""" update `tabSalary Structure Employee` set fro... | 51.111111 | 114 | 0.754348 |
c728add72ed6a3c7e7a22d0dd5c2d28795629874 | 70,636 | py | Python | paddlenlp/transformers/albert/modeling.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/transformers/albert/modeling.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/transformers/albert/modeling.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2018 Google AI, Google Brain and the HuggingFace Inc. team.
#
# 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
#
# ... | 38.305857 | 140 | 0.597641 |
c774342508651302ada9fdf0c1b47ad621db96d4 | 355 | py | Python | Quizzes/QQUiz3/quiz3/code/server.py | robots-make-art-too/Donglin_yu | 95eede21e94baf16db1770337234668a816a8056 | [
"MIT"
] | null | null | null | Quizzes/QQUiz3/quiz3/code/server.py | robots-make-art-too/Donglin_yu | 95eede21e94baf16db1770337234668a816a8056 | [
"MIT"
] | null | null | null | Quizzes/QQUiz3/quiz3/code/server.py | robots-make-art-too/Donglin_yu | 95eede21e94baf16db1770337234668a816a8056 | [
"MIT"
] | null | null | null | import http.server
import socketserver
PORT = 8000 #8080, 8887, 8898,
Handler = http.server.SimpleHTTPRequestHandler
with socketserver.TCPServer(("", PORT), Handler) as httpd:
print("Hi you are at PORT: ", PORT)
httpd.serve_forever()
# to run>: python3 server.py
# might have to install the imports
# pip/pip3 in... | 22.1875 | 58 | 0.740845 |
4001f71b3bba515bc0b8fe1d9a7e7914ace5b61e | 32,139 | py | Python | tests/test_ownfunctions.py | S0S-90/geocachingTooly | a6ed356d0187dd517a9436a83bded3752d488db5 | [
"MIT"
] | null | null | null | tests/test_ownfunctions.py | S0S-90/geocachingTooly | a6ed356d0187dd517a9436a83bded3752d488db5 | [
"MIT"
] | null | null | null | tests/test_ownfunctions.py | S0S-90/geocachingTooly | a6ed356d0187dd517a9436a83bded3752d488db5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""tests for ownfunctions.py"""
import unittest
import datetime
import sys
from io import StringIO
import xml.etree.ElementTree as ElementTree
import test_frame
import ownfunctions
class TestReplaceSigns(unittest.TestCase):
def test_find_cp1252(self):
test_fra... | 46.713663 | 123 | 0.64081 |
4004c08df87b42e135938b32d01f2779da49ef8a | 458 | py | Python | leetcode/560-Subarray-Sum-Equals-K/cum_sum_1d_hash.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2017-05-18T06:11:02.000Z | 2017-05-18T06:11:02.000Z | leetcode/560-Subarray-Sum-Equals-K/cum_sum_1d_hash.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/560-Subarray-Sum-Equals-K/cum_sum_1d_hash.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
def subarraySum(self, nums: List[int], k: int) -> int:
for i in range(1, len(nums)):
nums[i] += nums[i - 1]
cum_sums = [0] + nums
cnt = 0
val_cnts = {0: 1}
for i in range(1, len(cum_sums)):
diff = cum_sums[i] - k
if diff in... | 28.625 | 68 | 0.484716 |
d3b55a3b9a85b07daf77ad362f949e4f868a29df | 595 | py | Python | src/using_tips/decorator/dec5.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | src/using_tips/decorator/dec5.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | src/using_tips/decorator/dec5.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | def log1(func):
def wrapper(area):
print
'call %s():' % func.__name__
return func(area)
return wrapper
@log1
def now1(area):
print
area, '2016-01-23'
now1('Beijing')
print
'The name of function now1() is:', now1.__name__
print
"=" * 25
def log2(func):
def wrapper(a... | 14.512195 | 48 | 0.583193 |
310167c13adc3d5c02434d2a61b90452bea65451 | 267 | py | Python | euler-28.py | TFabijo/euler | 58dc07b9adb236890556ccd5d75ca9dbd2b50df9 | [
"MIT"
] | null | null | null | euler-28.py | TFabijo/euler | 58dc07b9adb236890556ccd5d75ca9dbd2b50df9 | [
"MIT"
] | null | null | null | euler-28.py | TFabijo/euler | 58dc07b9adb236890556ccd5d75ca9dbd2b50df9 | [
"MIT"
] | null | null | null |
def vsota_diagonal_spirale_nxn(n):
najvecje = n * n
element = 1
vsota = 1
korak = 0
while element != najvecje:
korak += 2
for x in range(4):
element += korak
vsota += element
return vsota
| 19.071429 | 35 | 0.498127 |
3114c9827e2d211a3d26e14d0c79052ce02e2aff | 1,373 | py | Python | test/log_graph.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | test/log_graph.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | 3 | 2020-03-24T18:18:21.000Z | 2021-08-23T20:37:09.000Z | test/log_graph.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | #############################################################
#
# Log(k*i) graph
#
#############################################################
import sys, os
sys.path.append("../..")
sys.path.append("..")
sys.path.append(os.getcwd())
import numpy as np
import pandas as pd
import copy
import pickle
from math import l... | 24.517857 | 68 | 0.443554 |
48eb5cfd171034762ec496e3d2bb28db3761c892 | 5,602 | py | Python | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/tempo_stem_file.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/tempo_stem_file.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/tempo_stem_file.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
SHORT_DEBUG = 0
import sys
import os
import pickle
import numpy
import scipy.io.wavfile
import scipy.signal
import pylab
import mar_collection
import onset_strength
import beat_histogram
import beat_phase
import late_heuristic
import evaluate_bpms
def load_wavfile(filename):
sample_rat... | 29.329843 | 87 | 0.598715 |
d2a53e8b43770851648a1da5303a76c619a39020 | 6,516 | py | Python | paddlenlp/datasets/conll2002.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/datasets/conll2002.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/datasets/conll2002.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... | 36.813559 | 119 | 0.477594 |
960b64430cdac1e0ef8505107509dab6848ace29 | 591 | py | Python | Python/Buch_ATBS/Teil_2/Kapitel_11_Webscraping/06_scraping_mit_beatifulsoup.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_2/Kapitel_11_Webscraping/06_scraping_mit_beatifulsoup.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_2/Kapitel_11_Webscraping/06_scraping_mit_beatifulsoup.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # 06_scraping_mit_beatifulsoup.py
# Dies ist ein Beispiel wie man mit BeautifullSoup eine Webseite durchforsten kann.
# Dazu muss das Modul beautifullsoup4 installiert sein. Ggf mit pip3 install beautifulsoup4 nachinstallieren
import requests, bs4
url_name='https://de.wikipedia.org/wiki/Aspirin'
url_content=requests.... | 31.105263 | 108 | 0.800338 |
82db146c18e96e0d188dae9a1bca11de4cc27d22 | 120 | py | Python | quant/tool/email_test.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/tool/email_test.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/tool/email_test.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 5 | 2017-12-11T15:10:29.000Z | 2018-12-21T17:40:58.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from .email_box import send_mail
send_mail('test content ssl success')
| 15 | 37 | 0.691667 |
c4d728f33da80049ac2fedb84ad629f8ddd9f504 | 514 | py | Python | leetcode/322-Coin-Change/CoinChange_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/322-Coin-Change/CoinChange_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/322-Coin-Change/CoinChange_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def coinChange(self, coins, amount):
"""
:type coins: List[int]
:type amount: int
:rtype: int
"""
coins.sort()
dp = [amount + 1 for i in range(amount + 1)]
dp[0] = 0
for i in xrange(1, amount + 1):
for c in c... | 27.052632 | 53 | 0.406615 |
c4f5434164e058b88f10b4269ee3fbde1660f56a | 13,908 | py | Python | fhirclient/r4models/composition.py | Healthedata1/Flask-PL | 88a2f40ca430c4cbb9fbded7fc92fdc166ebb9f1 | [
"MIT"
] | null | null | null | fhirclient/r4models/composition.py | Healthedata1/Flask-PL | 88a2f40ca430c4cbb9fbded7fc92fdc166ebb9f1 | [
"MIT"
] | null | null | null | fhirclient/r4models/composition.py | Healthedata1/Flask-PL | 88a2f40ca430c4cbb9fbded7fc92fdc166ebb9f1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.0-a53ec6ee1b (http://hl7.org/fhir/StructureDefinition/Composition) on 2019-05-07.
# 2019, SMART Health IT.
from . import domainresource
class Composition(domainresource.DomainResource):
""" A set of resources composed into a si... | 40.430233 | 109 | 0.604976 |
f208857a3833206f286d8456620ddf219c9ee140 | 71 | py | Python | python/tutlibs/tree.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-11-22T10:32:49.000Z | 2021-11-22T10:32:49.000Z | python/tutlibs/tree.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-12-09T14:39:51.000Z | 2021-12-09T14:39:51.000Z | python/tutlibs/tree.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | null | null | null | import numpy as np
def kdtree():
pass
def octree():
return
| 7.1 | 18 | 0.605634 |
d250bd143e49c782b0eed2896a6d4559de248fa3 | 3,414 | py | Python | Contrib-Inspur/openbmc/poky/bitbake/lib/toaster/tests/browser/test_new_project_page.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Inspur/openbmc/poky/bitbake/lib/toaster/tests/browser/test_new_project_page.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Inspur/openbmc/poky/bitbake/lib/toaster/tests/browser/test_new_project_page.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | #! /usr/bin/env python
#
# BitBake Toaster Implementation
#
# Copyright (C) 2013-2016 Intel Corporation
#
# SPDX-License-Identifier: GPL-2.0-only
#
from django.core.urlresolvers import reverse
from tests.browser.selenium_helpers import SeleniumTestCase
from selenium.webdriver.support.ui import Select
from selenium.com... | 33.470588 | 76 | 0.591095 |
96bcd1882fc2a648e05916dea07e2036d6cfdb59 | 1,155 | py | Python | kts/ui/dashboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 18 | 2019-02-14T13:10:07.000Z | 2021-11-26T07:10:13.000Z | kts/ui/dashboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-02-17T14:06:42.000Z | 2019-09-15T18:05:54.000Z | kts/ui/dashboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-09-15T13:12:42.000Z | 2020-04-15T14:05:54.000Z | from IPython.display import display
from kts.settings import cfg
from kts.ui.components import Column, Pool, HTMLRepr, Title, Annotation, CSS, Raw, Field
class Dashboard(HTMLRepr):
def __init__(self):
from kts.core.lists import feature_list, helper_list
self.features = feature_list
self.h... | 37.258065 | 115 | 0.651082 |
7365494339fa5ebfc1223188e38130f75bdbb4a1 | 1,781 | py | Python | tarefas-poo/lista-03/prefeitura/view/paineis/painel_cria_prefeitura.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-03/prefeitura/view/paineis/painel_cria_prefeitura.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-03/prefeitura/view/paineis/painel_cria_prefeitura.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | # --------------------------
# UFSC - CTC - INE - INE5663
# Exercício da Prefeitura
# --------------------------
# Classe que permite a criação de uma prefeitura
#
from model.gera_populacao import gera_populacao_aleatoria, gera_populacao_fixa
from model.prefeitura import Prefeitura
from model.cidadao import Cidadao
c... | 38.717391 | 78 | 0.617631 |
73ce8eb0cd79a7f2e813e116f699f3ce7efc533a | 734 | py | Python | zencad/examples/1.GeomPrim/2.prim2d/circle.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/examples/1.GeomPrim/2.prim2d/circle.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/examples/1.GeomPrim/2.prim2d/circle.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
ZenCad API example: circle
last update: 04.10.2019
"""
from zencad import *
m0 = circle(r=10)
m1 = circle(r=10, angle=deg(90))
m2 = circle(r=10, angle=(deg(45), deg(90)))
m3 = circle(r=10, wire=True)
m4 = circle(r=10, angle=deg(90), wire=True)
m5 = circle(r=10, angle=(deg(45), deg(90)), wi... | 22.242424 | 54 | 0.656676 |
f774a591067741353b230217c694759cfc9db504 | 272,398 | py | Python | spam-smsv2-main/sms.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | spam-smsv2-main/sms.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | spam-smsv2-main/sms.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | # Compile by Sanz
# Youtube : FREE TUTORIAL
# Github : https://github.com/Sxp-ID
# Mau recode ya? Izin dulu Slur >_<
sanz=((lambda _____, ______ : ______(eval((lambda ____,__,_ : ____.join([_(___) for ___ in __]))('',[95, 95, 105, 109, 112, 111, 114, 116, 95, 95, 40, 34, 122, 108, 105, 98, 34, 41, 46, 100, 101, 99, 11... | 45,399.666667 | 272,279 | 0.73531 |
54757b97e584c7e8d5d8fad446c6b3796a0a7e91 | 574 | py | Python | models/hr_employee_note.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | null | null | null | models/hr_employee_note.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | null | null | null | models/hr_employee_note.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | 3 | 2017-09-11T08:02:11.000Z | 2020-04-04T08:13:23.000Z | # -*- coding: utf-8 -*-
from openerp import api, exceptions, fields, models
class HrEmployeeNote(models.Model):
"""Gestion des notes des employes"""
_name = 'hr.employee.note'
_description = "Employee Note"
employee_id = fields.Many2one(comodel_name='hr.employee', string='Employe')
annee = field... | 35.875 | 120 | 0.606272 |
b77b640cb760a84323bac90b3f56823f8785208c | 3,875 | py | Python | examples/language_model/moe/dygraph/checkpointing.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/language_model/moe/dygraph/checkpointing.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/language_model/moe/dygraph/checkpointing.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2022 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 applic... | 37.621359 | 79 | 0.653935 |
423dceb7be42eb1e04361bca1188e323bf3a1163 | 2,241 | py | Python | Chapter9_AdvancedDL/Chapter9_5_RegressionProblems/taxiRoutingDnn.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter9_AdvancedDL/Chapter9_5_RegressionProblems/taxiRoutingDnn.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter9_AdvancedDL/Chapter9_5_RegressionProblems/taxiRoutingDnn.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | import os
import tensorflow as tf
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
from tf_utils.taxiRoutingDataAdvanced import TAXIROUTING
EXCEL_FILE_PATH = os.path.abspath("C:/Users/... | 27 | 102 | 0.701473 |
673b572a195c42c274eba40f32daaf583dfd94cf | 2,580 | py | Python | autoLogin.py | pchaos/wanggejiaoyi | 60242d465bf10d4be46ee6eafc99557affc2a52e | [
"MIT"
] | 15 | 2018-05-16T02:39:01.000Z | 2021-05-22T13:12:55.000Z | autoLogin.py | pchaos/wanggejiaoyi | 60242d465bf10d4be46ee6eafc99557affc2a52e | [
"MIT"
] | null | null | null | autoLogin.py | pchaos/wanggejiaoyi | 60242d465bf10d4be46ee6eafc99557affc2a52e | [
"MIT"
] | 9 | 2018-05-16T00:47:34.000Z | 2021-11-26T05:39:48.000Z | # -*- coding: utf-8 -*-
"""
-------------------------------------------------
@File : autoLogin.py
Description : 自动登录华泰客户端
@Author : pchaos
date： 18-4-16
-------------------------------------------------
Change Activity:
18-4-16:
@Contact : p19992003#gmail.com
---... | 30.714286 | 116 | 0.628295 |
db2d1e5ee8999153d3d8652d45bc17e16a4930d4 | 1,520 | py | Python | ebenezer/atencion/migrations/0002_auto_20181005_0031.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | ebenezer/atencion/migrations/0002_auto_20181005_0031.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | 3 | 2020-02-11T23:15:00.000Z | 2021-06-10T20:52:17.000Z | ebenezer/atencion/migrations/0002_auto_20181005_0031.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.2 on 2018-10-05 00:31
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
dependencies = [
('atencion', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Clase',
... | 37.073171 | 237 | 0.580921 |
c04af8e419b996092094b83928cc9193afd8cc39 | 15,214 | py | Python | Python/Courses/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section4Modules/30Requests.py | JamieBort/LearningDirectory | afca79c5f1333c079d0e96202ff44ca21b2ceb81 | [
"Info-ZIP"
] | 1 | 2022-02-02T21:56:08.000Z | 2022-02-02T21:56:08.000Z | Python/Courses/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section4Modules/30Requests.py | JamieBort/LearningDirectory | afca79c5f1333c079d0e96202ff44ca21b2ceb81 | [
"Info-ZIP"
] | 27 | 2020-06-27T23:25:59.000Z | 2022-02-27T20:40:56.000Z | Python/Courses/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section4Modules/30Requests.py | JamieBort/LearningDirectory | afca79c5f1333c079d0e96202ff44ca21b2ceb81 | [
"Info-ZIP"
] | null | null | null | # NOTE: The files
# ./LearningDirectory/Python/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section4Modules/30Requests.py
# ./LearningDirectory/Python/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section4Modules/31SendingHTTPRequestsToAPIs.py
# and
# ./Learn... | 353.813953 | 12,721 | 0.729854 |
222e049d4149be84ebb4208d313ad06fd83d1127 | 5,132 | py | Python | convertor.py | FlyingFishBird/msmt | 1278d4a6af3d54aa477d7c99d053549b1b80b2fa | [
"MIT"
] | null | null | null | convertor.py | FlyingFishBird/msmt | 1278d4a6af3d54aa477d7c99d053549b1b80b2fa | [
"MIT"
] | null | null | null | convertor.py | FlyingFishBird/msmt | 1278d4a6af3d54aa477d7c99d053549b1b80b2fa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from functools import partial
import json
import sys
from datetime import datetime
_ISPY2 = sys.version_info.major == 2
def _encode(data):
if _ISPY2 and isinstance(data, unicode):
return data.encode('utf-8')
return data
def _convert(src_parser, dst_parser, data):
return ... | 22.910714 | 78 | 0.533905 |
3f358298ab201dd0041538d0b62ed4a8df31fdb9 | 86 | py | Python | packages/watchmen-inquiry-kernel/src/watchmen_inquiry_kernel/meta/__init__.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-inquiry-kernel/src/watchmen_inquiry_kernel/meta/__init__.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-inquiry-kernel/src/watchmen_inquiry_kernel/meta/__init__.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from .report_service import ReportService
from .subject_service import SubjectService
| 28.666667 | 43 | 0.883721 |
452a91dad76c1ad3a2539b4d6af801a9c96bfe73 | 4,003 | py | Python | server/objects/driver.py | khaledelemam/routescc-matching-app | 81cb0665e08f6608176060f5d768c673fed15398 | [
"MIT"
] | null | null | null | server/objects/driver.py | khaledelemam/routescc-matching-app | 81cb0665e08f6608176060f5d768c673fed15398 | [
"MIT"
] | null | null | null | server/objects/driver.py | khaledelemam/routescc-matching-app | 81cb0665e08f6608176060f5d768c673fed15398 | [
"MIT"
] | null | null | null | import csv
from datetime import datetime
from server.data.address_store import AddressStore
from server.maps_api import get_coordinates, google_api_key
from server.objects.person import Person
from server.objects.rides import Ride
class Driver(Person):
def __init__(self, first_name: str, last_name: str, phone: ... | 38.12381 | 118 | 0.642018 |
7a08de6de30cda029a9a8dd75693e3589937db4b | 8,662 | py | Python | EX5/CNN.py | CSUpengyuyan/DLExperiment | 4b4d8384215da85cca1915b5630dbf3fbb381b38 | [
"MIT"
] | null | null | null | EX5/CNN.py | CSUpengyuyan/DLExperiment | 4b4d8384215da85cca1915b5630dbf3fbb381b38 | [
"MIT"
] | null | null | null | EX5/CNN.py | CSUpengyuyan/DLExperiment | 4b4d8384215da85cca1915b5630dbf3fbb381b38 | [
"MIT"
] | 1 | 2021-05-11T09:29:28.000Z | 2021-05-11T09:29:28.000Z | import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import math
import keras
import h5py
from keras.models import Sequential
from keras.layers import InputLayer,Input,MaxPooling2D,Conv2D,Dense,Flatten,Reshape,Convolution2D
from keras.optimizers import adam
from keras.utils import to_categorical
f... | 28.214984 | 97 | 0.667975 |
e14a07e7cf898ec7c19236d8370d82398950d5cd | 452 | py | Python | roman-to-integer/roman-to-integer.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | roman-to-integer/roman-to-integer.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | roman-to-integer/roman-to-integer.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def romanToInt(self, s: str) -> int:
roman2int={"I":1, "V": 5, "X": 10, "L": 50, "C":100, "D": 500, "M":1000}
output = 0
cur_int = roman2int[s[0]]
for next_str in s[1:]:
if cur_int>=roman2int[next_str]:
output+=cur_int
else:
... | 32.285714 | 80 | 0.482301 |
83319e0f72e47fbfaae22c7e59d6939d3cd61eb1 | 2,277 | py | Python | Python/Sonstige_Uebungen/fractal_like/spiral_fractal_turtle.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Sonstige_Uebungen/fractal_like/spiral_fractal_turtle.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Sonstige_Uebungen/fractal_like/spiral_fractal_turtle.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
###
# File: spiral_fractal_turtle.py
# Project: Sonstige_Uebungen
# Created Date: Thursday 28.02.2019, 13:39
# Author: Apop85
# -----
# Last Modified: Thursday 28.02.2019, 19:27
# -----
# Copyright (c) 2019 Apop85
# This software is published under the MIT license.
# Check ... | 23 | 82 | 0.543698 |
833a2df2777fb2574e6a30daee0f6a7f9c41914d | 195 | py | Python | Online-Judges/CodingBat/Python/Logic-01/Logic_1-08-in1to10.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/CodingBat/Python/Logic-01/Logic_1-08-in1to10.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/CodingBat/Python/Logic-01/Logic_1-08-in1to10.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def in1to10(n, outside_mode):
if outside_mode is True and (n <= 1 or n >= 10):
return True
elif outside_mode is False and n <= 10 and n >= 1:
return True
return False
| 27.857143 | 54 | 0.605128 |
8345a459052f67e75d629cd93afc33854d17a070 | 1,669 | py | Python | writing prompts/script.py | graylion-wa/world-anvil-generators | f9718517b95997b6dfbc9ab6370d03ab87e40601 | [
"MIT"
] | 1 | 2021-06-08T17:34:24.000Z | 2021-06-08T17:34:24.000Z | writing prompts/script.py | graylion-wa/world-anvil-generators | f9718517b95997b6dfbc9ab6370d03ab87e40601 | [
"MIT"
] | 2 | 2021-06-23T07:58:38.000Z | 2021-06-28T18:00:18.000Z | writing prompts/script.py | graylion-wa/world-anvil-generators | f9718517b95997b6dfbc9ab6370d03ab87e40601 | [
"MIT"
] | 1 | 2021-06-19T10:03:06.000Z | 2021-06-19T10:03:06.000Z | import csv
import json
from typing import Any
def write_file(data: Any, filename: str):
with open(f'{filename}.json', 'w') as fp:
json.dump(data, fp, ensure_ascii=False, indent=' ')
def create_payload_dict(variable: str):
router = dict()
router[variable] = dict()
return router, router[var... | 39.738095 | 112 | 0.680048 |
8349336c0a5ac26f2ec195bf1ae69aeb1cae29bb | 1,264 | py | Python | deutschland/ladestationen/models/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | deutschland/ladestationen/models/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | deutschland/ladestationen/models/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
# import all models into this package
# if you have many models here with many references from one model to another this may
# raise a RecursionError
# to avoid this, import only the models that you directly need like:
# from from deutschland.ladestationen.model.pet import Pet
# or import this package, ... | 38.30303 | 88 | 0.837816 |
3614ca2551cc223c2fb1ff7fb6102fe7dcf4bf0a | 172 | py | Python | basics/booleans.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | 1 | 2019-04-07T23:14:29.000Z | 2019-04-07T23:14:29.000Z | basics/booleans.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | basics/booleans.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | # Hi! I'm Maria and I live in script.py.
# I'm an expert Python coder.
# I'm 21 years old and I plan to program cool stuff forever.
age_is_12 = False
name_is_maria = True
| 24.571429 | 60 | 0.72093 |
7fe4b785629e9c5769c878b7b732c2ba8d8f49c1 | 2,497 | py | Python | pocketthrone/tools/unitmovementhelper.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | 4 | 2016-06-05T16:48:04.000Z | 2020-03-23T20:06:06.000Z | pocketthrone/tools/unitmovementhelper.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | pocketthrone/tools/unitmovementhelper.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | from pocketthrone.entities.tile import Tile
from pocketthrone.entities.tilemap import TileMap
from pocketthrone.entities.unit import Unit
class UnitMovementHelper:
unit = None
tilemap = None
ingore_lds = False
def __init__(self, unit, tilemap, ignore_lds=False):
self.unit = unit
self.tilemap = tilemap
self.... | 26.56383 | 73 | 0.681217 |
7ff333ecc85c2f4d23ec50ee9a1eff2b63fe3e61 | 109 | py | Python | nz_crawl_demo/day11/first_celery/apps/task2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day11/first_celery/apps/task2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day11/first_celery/django_celery/first_celery/apps/task2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z |
from apps import app
# @app.task(queue='task2_add3')
@app.task
def add3(x,y):
print(x-y)
return x-y | 13.625 | 31 | 0.642202 |
629e6a981a2819e2db9629f05300981bbc071739 | 1,077 | py | Python | ppyt/indicators/direction_indicators.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 4 | 2016-08-16T07:47:15.000Z | 2017-12-11T10:08:47.000Z | ppyt/indicators/direction_indicators.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | null | null | null | ppyt/indicators/direction_indicators.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 2 | 2018-06-15T04:43:15.000Z | 2020-05-02T07:47:15.000Z | # coding: utf-8
import logging
import numpy as np
from ppyt.indicators import IndicatorBase
from ppyt.indicators.basic_indicators import MovingAverageIndicator
from ppyt import const
logger = logging.getLogger(__name__)
class MADirectionIndicator(IndicatorBase):
"""移動平均線の向きを表す指標です。"""
_findkey = '移動平均線の向き'
... | 29.916667 | 67 | 0.608171 |
9aa54b3839f98e9ef37acdbf3e72599be44fa8ba | 2,246 | py | Python | test/test_npu/test_network_ops/test_pooling.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_pooling.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_pooling.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... | 39.403509 | 88 | 0.709706 |
b112c9aefebe3afda5277aeb086fe4f10a8d6227 | 1,470 | py | Python | loesungsvorschlaege/python_wiederholung/praxis/wdh_1.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | loesungsvorschlaege/python_wiederholung/praxis/wdh_1.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | loesungsvorschlaege/python_wiederholung/praxis/wdh_1.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | # Lösungen zu den Kurzaufgaben (Abschnitt 3)
# Aufgabe 1
t1 = type(42)
print(f"Der Typ von 42 lautet: {t1}")
t2 = type(4.2)
print(f"Der Typ von 4.2 lautet: {t2}")
t3 = type("42")
print(f"Der Typ von \"42\" lautet: {t3}")
# Es gibt hier einen Fehler. Die Funktion type erwartet ein Argument (Übergabewert).
# Durch das K... | 23.709677 | 84 | 0.663946 |
b8c7b02dc9e41de4269d2455545ae26fef7cfd58 | 1,145 | py | Python | quant/api/bitflyer.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/api/bitflyer.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/api/bitflyer.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 5 | 2017-12-11T15:10:29.000Z | 2018-12-21T17:40:58.000Z | import requests
class PublicClient(object):
"""
document: https://lightning.bitflyer.jp/docs
"""
def __init__(self):
self.public_url = "https://api.bitflyer.com/v1"
def url_for(self, path):
url = "%s/%s" % (self.public_url, path)
return url
@classmethod
def _get(... | 26.627907 | 66 | 0.561572 |
6263c07c7bfb27caa4fb8d0d5ff82117a2cedc5b | 4,078 | py | Python | Apps/Dalphi Service/lib/iteration_processing.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | 1 | 2021-04-13T10:00:46.000Z | 2021-04-13T10:00:46.000Z | Apps/Dalphi Service/lib/iteration_processing.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | null | null | null | Apps/Dalphi Service/lib/iteration_processing.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3.5
# -*- coding: utf-8 -*-
# import python libs
from pprint import pprint as pp
import base64
import json
import logging
import copy
# import project libs
# -
# defining globals & constants
SUBJECTS_TABEL_JSON = '/Users/rg/Nextcloud/Uni/Bachelorarbeit/Apps/Vorverarbeitung/subjects_table.jso... | 31.369231 | 127 | 0.628985 |
6571bf344543943d5cc62e560e59a131ded80365 | 3,489 | py | Python | haas_lib_bundles/python/docs/examples/tap_detection/esp32/code/tap_detection.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/tap_detection/esp32/code/tap_detection.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/tap_detection/esp32/code/tap_detection.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | import utime # 延时函数在utime
ITER_NUM = 100
class tap_detection:
def __init__(self, mpu6886Dev):
self.mpu6886Dev = mpu6886Dev
self.ax_offset = 0.0
self.ay_offset = 0.0
self.az_offset = 0.0
self.triggercount = 0
self.untriggercount = 0
self.tapcount = 0
... | 34.89 | 121 | 0.567498 |
659f04ad0c01d4e877d92c06bbb881411cd9e6be | 4,773 | py | Python | 7-assets/past-student-repos/Graphs-Notes-master/graphs.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/Graphs-Notes-master/graphs.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/Graphs-Notes-master/graphs.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | def bfs(self, starting_vertex, destination_vertex):
#Create an empty set to store the visited vertices
visited = set()
# Create an empty Queue and enqueue & PATH TO the starting vertex
q = Queue()
q.enqueue( [starting_vertex] )
# While the queue is not empty...
while q.size() > 0:
# ... | 35.887218 | 140 | 0.588519 |
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