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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3289a27db11da8f781588a22d6acc8298fcf6d22 | 701 | py | Python | play/isbnverify.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | play/isbnverify.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | play/isbnverify.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | def verify(isbn):
p = 1 # aktuell untersuhte isbn-Position
i = 0
sum = 0
for c in isbn:
i += 1
if (c == "-"): # - wird ignoriert
continue
# isbn-Position 1 - 9
if (p < 10):
try:
z = int(c)
except:
return False
# c ist valide Ziffer
sum += z * (11 - ... | 21.90625 | 66 | 0.492154 |
de53f271d7c3e76a137ab566dc5f787db76cba7f | 1,936 | py | Python | udm-bildungslogin/usr/lib/python2.7/dist-packages/univention/udm/modules/bildungslogin_metadata.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | udm-bildungslogin/usr/lib/python2.7/dist-packages/univention/udm/modules/bildungslogin_metadata.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | udm-bildungslogin/usr/lib/python2.7/dist-packages/univention/udm/modules/bildungslogin_metadata.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2021 Univention GmbH
#
# https://www.univention.de/
#
# All rights reserved.
#
# The source code of this program is made available
# under the terms of the GNU Affero General Public License version 3
# (GNU AGPL V3) as published by the Free Software Foundation.
#
# Binary versions ... | 32.813559 | 74 | 0.775826 |
c20a3aa282127647e10f2a472107a33ede4eb8a1 | 3,001 | py | Python | imbiss_RL_gym.py | Steinheilig/Imbiss | 49f6ae865cef05b4999569cecaf5931db0fb2113 | [
"MIT"
] | null | null | null | imbiss_RL_gym.py | Steinheilig/Imbiss | 49f6ae865cef05b4999569cecaf5931db0fb2113 | [
"MIT"
] | null | null | null | imbiss_RL_gym.py | Steinheilig/Imbiss | 49f6ae865cef05b4999569cecaf5931db0fb2113 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Machine Learning applied to defeat a 30 years old DOS game...
Game mechanics
"Imbiss" v. 5.4 by T. Bauer for IBM PC, 1991, Public Domain
Soft Actor Critic (SAC) Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.
Box Actions - discrete states possible.... | 31.260417 | 124 | 0.698767 |
f8701e2595b8758afe9489ec8f7153cd5e1df658 | 3,183 | py | Python | tracker.py | jkerpe/TroubleBubble | 813ad797398b9f338f136bcb96c6c92186d92ebf | [
"MIT"
] | null | null | null | tracker.py | jkerpe/TroubleBubble | 813ad797398b9f338f136bcb96c6c92186d92ebf | [
"MIT"
] | null | null | null | tracker.py | jkerpe/TroubleBubble | 813ad797398b9f338f136bcb96c6c92186d92ebf | [
"MIT"
] | 1 | 2021-08-09T14:57:57.000Z | 2021-08-09T14:57:57.000Z | # Aus:
# https://github.com/mabhisharma/Multi-Object-Tracking-with-Kalman-Filter vom 20.06.2021
# Der Urheber (mabhisharma) stellt es allen Interessierten ohne Kosten frei zur Verfügung, siehe:
# https://github.com/mabhisharma/Multi-Object-Tracking-with-Kalman-Filter/blob/master/LICENSE
import numpy as np
from kalmanF... | 34.978022 | 100 | 0.592523 |
f8b1c612b644ae2480827b0461cb7911e6693218 | 234 | py | Python | Algorithms/Implementation/repeated_string.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Implementation/repeated_string.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Implementation/repeated_string.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
s = input().strip()
n = int(input())
if set(s) == {'a'}:
print(n)
sys.exit(1)
cnt_a = s.count('a')
len_s = len(s)
d, m = divmod(n, len_s)
cnt_a *= d
cnt_a += s[0:m].count('a')
print(cnt_a)
| 13.764706 | 26 | 0.559829 |
e48874619b06730232c0f1bf24fadadae2fdb7c3 | 1,818 | py | Python | handlemoursedata/com/aaron/bean/component_property.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | handlemoursedata/com/aaron/bean/component_property.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | 2 | 2021-03-25T22:00:07.000Z | 2022-01-20T15:51:48.000Z | handlemoursedata/com/aaron/bean/component_property.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on 2019-04-19
@FileName: component_property.py
@Description: 处理行业参数数据
@author: 'Aaron.Qiu'
@version V1.0.0
'''
class ComponentProperty:
'组件属性类'
__category1 = ''
__category2 = ''
__category3 = ''
__category4 = ''
__categoryTypeNum = ''
__propList = None
... | 23.61039 | 168 | 0.650165 |
e4c012c9db3cf9012001d8c64a1b948b934fd6a8 | 314 | py | Python | src/bo4e/enum/sparte.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/enum/sparte.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/enum/sparte.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | # pylint:disable=missing-module-docstring
from bo4e.enum.strenum import StrEnum
class Sparte(StrEnum):
"""
Unterscheidungsmöglichkeiten für die Sparte.
"""
STROM = "STROM"
GAS = "GAS"
FERNWAERME = "FERNWAERME"
NAHWAERME = "NAHWAERME"
WASSER = "WASSER"
ABWASSER = "ABWASSER"
| 18.470588 | 48 | 0.659236 |
29c9ea1b1e492d8bd9bc1a6576cf4f84c17a0176 | 5,203 | py | Python | 7-assets/past-student-repos/Graphs-Notes-master/lecture3/lecture3.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/Graphs-Notes-master/lecture3/lecture3.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/Graphs-Notes-master/lecture3/lecture3.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | import random
import time
import math
class Queue():
def __init__(self):
self.queue = []
def enqueue(self, value):
self.queue.append(value)
def dequeue(self):
if self.size() > 0:
return self.queue.pop(0)
else:
return None
def size(self):
r... | 35.394558 | 218 | 0.61157 |
e4025f64eeb6bd11543fbb1916c4beae80225700 | 2,227 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-traci.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-traci.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-traci.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2017-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 37.745763 | 107 | 0.686574 |
7c54207dd58447528bdca8f7b42f0ac77d038200 | 7,691 | py | Python | utils/populate_db.py | joshiji/getpin.in | f7add99ad44cadde882962ff7ada17675039a970 | [
"MIT"
] | null | null | null | utils/populate_db.py | joshiji/getpin.in | f7add99ad44cadde882962ff7ada17675039a970 | [
"MIT"
] | null | null | null | utils/populate_db.py | joshiji/getpin.in | f7add99ad44cadde882962ff7ada17675039a970 | [
"MIT"
] | null | null | null |
import os
import sqlite3
import getopt
import sys
from uuid import uuid4
(
OFFICE_NAME,
PINCODE,
OFFICE_TYPE,
DELIVERY_STATUS,
DIVISION_NAME,
REGION_NAME,
CIRCLE_NAME,
TALUK,
DISTRICT_NAME,
STATE_NAME,
TELEPHONE,
RELATED_SUBOFFICE,
RELATED_HEADOFFICE,
LOGITUDE,
... | 28.591078 | 93 | 0.539202 |
7c888f701b8cad797289b7d3b725c00b7a378e91 | 5,290 | py | Python | Packs/ApiModules/Scripts/AWSApiModule/AWSApiModule_test.py | PAM360/content | 928aac9c586c6e593b2a452c402a37cb5df28dac | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/ApiModules/Scripts/AWSApiModule/AWSApiModule_test.py | PAM360/content | 928aac9c586c6e593b2a452c402a37cb5df28dac | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/ApiModules/Scripts/AWSApiModule/AWSApiModule_test.py | PAM360/content | 928aac9c586c6e593b2a452c402a37cb5df28dac | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | from AWSApiModule import *
import pytest
from pytest import raises
VALIDATE_CASES = \
[{
'aws_default_region': 'test',
'aws_role_arn': 'test',
'aws_role_session_name': 'test',
'aws_access_key_id': 'test',
'aws_secret_access_key': 'test'
},
{
'aws_default_region': 'region tes... | 29.553073 | 101 | 0.656711 |
6b2bae691964135f2a0774a91f3e90c4c40c6865 | 3,120 | py | Python | workshop_petstagram/workshop_petstagram/main/models.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | 1 | 2022-03-03T10:16:14.000Z | 2022-03-03T10:16:14.000Z | workshop_petstagram/workshop_petstagram/main/models.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | workshop_petstagram/workshop_petstagram/main/models.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | from datetime import date
from django.core.validators import MinLengthValidator
from django.db import models
from workshop_petstagram.main.validators import validate_only_letters, validate_file_max_size_in_mb, validate_min_date, \
validate_max_date
class Profile(models.Model):
FIRST_NAME_MIN_LENGTH = 2
... | 21.22449 | 121 | 0.597436 |
8650e26858e930d2d46062b131ecf1ddd17b5d2a | 1,657 | py | Python | T1/07_robotic_drawing_exercise/robotic_drawing/robo_drawing_exercise.py | tetov/MAS-1920 | e5cfe4afbc7c0e80c6adfd139624d028c0ca4bfb | [
"MIT"
] | 3 | 2019-09-15T17:40:35.000Z | 2020-11-07T01:47:29.000Z | T1/07_robotic_drawing_exercise/robotic_drawing/robo_drawing_exercise.py | tetov/MAS-1920 | e5cfe4afbc7c0e80c6adfd139624d028c0ca4bfb | [
"MIT"
] | 1 | 2019-09-17T22:59:19.000Z | 2019-09-17T22:59:19.000Z | T1/07_robotic_drawing_exercise/robotic_drawing/robo_drawing_exercise.py | MAS-dfab/MAS-1920 | 93abb09b072b9a061496bc8a30bdce481a8735c5 | [
"MIT"
] | 8 | 2019-09-16T18:47:20.000Z | 2019-10-15T17:08:08.000Z | import sys
sys.path.append('C:/Users/jennyd/Desktop/DAVIDJENNY/robotic_drawing')
import robotic_drawing as rd
rd.ROBOT_IP = '192.168.10.10'
import simple_ur_script as ur
import simple_comm as c
import Rhino.Geometry as rg
import math as m
execute = True
#move_to = rg.Point3d(300.0,60.0,300.0)
#rd.move_robot_vertic... | 16.737374 | 69 | 0.707302 |
8661ca91951464463dae1e980273372bb6daf6b7 | 168 | py | Python | superstructure/__init__.py | fossabot/superstructure | f4ab5cac269fb3dedfbd3a54c441af23edf3840b | [
"MIT"
] | null | null | null | superstructure/__init__.py | fossabot/superstructure | f4ab5cac269fb3dedfbd3a54c441af23edf3840b | [
"MIT"
] | null | null | null | superstructure/__init__.py | fossabot/superstructure | f4ab5cac269fb3dedfbd3a54c441af23edf3840b | [
"MIT"
] | null | null | null | """top-level package for superstructure."""
from .geist import * # noqa
from .logik import * # noqa
from .grundbegriffe import * # noqa
from .utils import * # noqa
| 28 | 43 | 0.690476 |
86c819bb757f406ef994477712009f5e95636a78 | 2,190 | py | Python | research/cv/AVA_hpa/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/AVA_hpa/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/AVA_hpa/postprocess.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... | 42.115385 | 79 | 0.673516 |
d49bff2fc7063c9f4eaff2ce283b60616c9462ef | 1,141 | py | Python | src/Prototyp/flaskProject Kopie/helper.py | jay-hae/SE-Projekt-I3 | 1decc546dd04ee994277d03f59b80c33de164f11 | [
"CC-BY-4.0"
] | 3 | 2021-12-14T13:07:55.000Z | 2022-03-28T14:24:44.000Z | src/Prototyp/flaskProject Kopie/helper.py | jay-hae/SE-Projekt-I3 | 1decc546dd04ee994277d03f59b80c33de164f11 | [
"CC-BY-4.0"
] | 35 | 2021-12-08T17:01:23.000Z | 2022-03-30T10:43:13.000Z | src/Prototyp/flaskProject Kopie/helper.py | jay-hae/SE-Projekt-I3 | 1decc546dd04ee994277d03f59b80c33de164f11 | [
"CC-BY-4.0"
] | null | null | null | import Login
def dynamic_querries(col):
all_vals = "%s," * len(col)
all_cols = ""
for column in col:
all_cols += ", " + column
return [all_cols[2:], all_vals[:-1]]
def create_update_string(values):
string = ""
for i in values:
string += " " + i + " = %s,"
return string
... | 26.534884 | 124 | 0.659071 |
d4a5759c9a82fce09de6711ac9b1f08b3b0eb69b | 643 | py | Python | tarefas-poo/lista-01/calculos/view/paineis/painel_maior_que.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-01/calculos/view/paineis/painel_maior_que.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-01/calculos/view/paineis/painel_maior_que.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | # --------------------------
# UFSC - CTC - INE - INE5603
# Exercício calculos
# --------------------------
# Classe responsável por descobrir se um número inteiro é maior que outro númeroo inteiro.
from view.paineis.painel_abstrato import PainelAbstrato
from model.calculos import maior_que
class PainelMaiorQue(Paine... | 30.619048 | 90 | 0.586314 |
07ed0bacae0569e36caaa8161e8a43d1880da635 | 12,188 | py | Python | frappe-bench/apps/erpnext/erpnext/assets/doctype/asset/test_asset.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/assets/doctype/asset/test_asset.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/assets/doctype/asset/test_asset.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
from frappe.utils import cstr, nowdate, getdate, flt
from erpnext.assets.doctype.asset.depreciation import post_depreciation_entries, scra... | 31.57513 | 107 | 0.735478 |
13092781f89ca274638fd81ed04cd899e5496588 | 206 | py | Python | 20-fs-ias-lec/groups/09-loraSense/SenseLink/LoRaSense - Sensor/main.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-fs-ias-lec/groups/09-loraSense/SenseLink/LoRaSense - Sensor/main.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-fs-ias-lec/groups/09-loraSense/SenseLink/LoRaSense - Sensor/main.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | from lib.loralink import LoraLink
from machine import I2C, ADC, RTC
from deleter import Deleter
from network import WLAN
import time
import os
LoraLink(ssid='CasaSalsi', pw='S@lsi1968', debug=1)
#Deleter() | 22.888889 | 51 | 0.786408 |
131e565cf04ce8daa838b60f8f12c2b87a686b15 | 839 | py | Python | v501_502/python/stehwelle.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 2 | 2019-12-10T10:25:11.000Z | 2021-01-26T13:59:40.000Z | v501_502/python/stehwelle.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | null | null | null | v501_502/python/stehwelle.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 1 | 2020-12-06T21:24:58.000Z | 2020-12-06T21:24:58.000Z | import numpy as np
from scipy import optimize
import matplotlib.pyplot as plt
from scipy.stats import sem
N, f = np.genfromtxt("python/stehwelle.txt", unpack=True)
# N[-1] = 14
# def fit(x, a, b):
# return a * x + b
# params, covariance_matrix = optimize.curve_fit(fit, N, f)
# errors = np.sqrt(np.diag(covariance_... | 28.931034 | 80 | 0.650775 |
b9e66713f46c13775a2cbfb073525bb70e58a91f | 143 | py | Python | zencad/examples/1.GeomPrim/3.prim1d/segment.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/examples/1.GeomPrim/3.prim1d/segment.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/examples/1.GeomPrim/3.prim1d/segment.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
ZenCad API example: segment.py
"""
from zencad import *
m = segment((10, 0, 0), (10, 20, 30))
display(m)
show()
| 11 | 37 | 0.608392 |
b9f894931ead1fb43d064d3d7794aca69cf87f3f | 10,505 | py | Python | Packs/FeedFireEye/Integrations/FeedFireEye/FeedFireEye_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/FeedFireEye/Integrations/FeedFireEye/FeedFireEye_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/FeedFireEye/Integrations/FeedFireEye/FeedFireEye_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import random
from typing import Optional
import pytest
import requests_mock
from FeedFireEye import Client, STIX21Processor, FE_CONFIDENCE_TO_REPUTATION, parse_timestamp, \
handle_first_fetch_timestamp
from freezegun import freeze_time
import demistomock as demisto
def create_client(public_key: str = 'public_k... | 26.798469 | 120 | 0.567634 |
1628a82eef4d88fdf40d3496ab633130cbe34a68 | 973 | py | Python | UnaHttp/test.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | UnaHttp/test.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | UnaHttp/test.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | import unahttp
if __name__ == "__main__":
client = unahttp.HttpClient()
r = client.get("http://ifconfig.me/ip"); # by defaults gzip_compress is enable you can change it with this
# get method is keyword variadic function
# r = client.get("http://ifconfig.me/ip",gzip_response=False)
# r = client.ge... | 42.304348 | 122 | 0.701953 |
bcff3a2f59358d156b54ff2b0739d0b685de71d6 | 7,931 | py | Python | lale/lib/sklearn/nystroem.py | vishalbelsare/lale | 654ca29ec0234b478d26724a25df28b28f5c0bc0 | [
"Apache-2.0"
] | 265 | 2019-08-06T14:45:43.000Z | 2022-03-30T23:57:48.000Z | lale/lib/sklearn/nystroem.py | vishalbelsare/lale | 654ca29ec0234b478d26724a25df28b28f5c0bc0 | [
"Apache-2.0"
] | 467 | 2019-08-08T02:01:21.000Z | 2022-03-25T16:12:00.000Z | lale/lib/sklearn/nystroem.py | vishalbelsare/lale | 654ca29ec0234b478d26724a25df28b28f5c0bc0 | [
"Apache-2.0"
] | 81 | 2019-08-07T19:59:31.000Z | 2022-03-31T09:11:58.000Z | # Copyright 2019 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 36.888372 | 152 | 0.462237 |
4c191092dabd95400ff641402e706720e5be4eab | 259 | py | Python | scripts/Main.py | walty19950301/MovieRecommend | b86e773b4c27159d8819c5bae1c87192ce47953a | [
"MIT"
] | null | null | null | scripts/Main.py | walty19950301/MovieRecommend | b86e773b4c27159d8819c5bae1c87192ce47953a | [
"MIT"
] | null | null | null | scripts/Main.py | walty19950301/MovieRecommend | b86e773b4c27159d8819c5bae1c87192ce47953a | [
"MIT"
] | null | null | null |
import MovieDataset as md, WQUtil as util, RA
util.log('Main', 'start')
movies = md.Movies('..\\ml_ra\\movies.dat')
ratings = md.Ratings('..\\ml_ra\\ratings.dat')
ra = RA.RA(movies,ratings)
ra.process()
del ra
del movies
del ratings
util.log('Main', 'end')
| 19.923077 | 46 | 0.683398 |
5d90266edcf0c7eb994963951643cef3283613be | 1,129 | py | Python | python/en/_packages/nltk/test_stop_words.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_packages/nltk/test_stop_words.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_packages/nltk/test_stop_words.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # test_stop_words.py
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
stop_words = set(stopwords.words("english"))
#print(stop_words)
text = "The second text is to show how to filter out stop words with NLTK."
#print( text )
words = word_tokenize(text)
print(words)
filtered_tex... | 33.205882 | 81 | 0.749336 |
5d1e7bd3d881694f809555e3cb304c756c640e38 | 205 | py | Python | exercises/en/solution_01_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/en/solution_01_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/en/solution_01_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # Import the English language class
from spacy.lang.en import English
# Create the nlp object
nlp = English()
# Process a text
doc = nlp("This is a sentence.")
# Print the document text
print(doc.text)
| 17.083333 | 35 | 0.731707 |
db6bb8d42125d58193be9988ffecf290f3252e8a | 71,709 | py | Python | Packs/CofenseTriage/Integrations/CofenseTriagev3/CofenseTriagev3.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CofenseTriage/Integrations/CofenseTriagev3/CofenseTriagev3.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CofenseTriage/Integrations/CofenseTriagev3/CofenseTriagev3.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
import time
import requests
import traceback
from typing import Any, Callable, Dict, Tuple
# Disable insecure warnings
requests.packages.urllib3.disable_warnings(... | 35.359467 | 119 | 0.650267 |
91788e2ad2515fac044530208a89b47f53c7ab83 | 1,323 | py | Python | Pathfinding/Find_Exit.py | Klark007/Selbstfahrendes-Auto-im-Modell | d7fe81392de2b29b7dbc7c9d929fa0031b89900b | [
"MIT"
] | null | null | null | Pathfinding/Find_Exit.py | Klark007/Selbstfahrendes-Auto-im-Modell | d7fe81392de2b29b7dbc7c9d929fa0031b89900b | [
"MIT"
] | null | null | null | Pathfinding/Find_Exit.py | Klark007/Selbstfahrendes-Auto-im-Modell | d7fe81392de2b29b7dbc7c9d929fa0031b89900b | [
"MIT"
] | null | null | null | """
Finds the exit of the labyrinth
Current solution: Find the spaces on the ouside not occupied by an obstacle
Then look which one is reachable
"""
import Pathfinding.A_Star as A_Star
import numpy as np
def scan(grid):
exits = []
# loops trough the outer frame of the grid an looks for free space... | 30.068182 | 81 | 0.609977 |
535571d4e57b602f260fc7e483e8de96c8c643a1 | 332 | py | Python | Contests/CCC/CCC '12 J1 - Speed fines are not fine.py | MastaCoder/Projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | 5 | 2018-10-11T01:55:40.000Z | 2021-12-25T23:38:22.000Z | Contests/CCC/CCC '12 J1 - Speed fines are not fine.py | MastaCoder/mini_projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | null | null | null | Contests/CCC/CCC '12 J1 - Speed fines are not fine.py | MastaCoder/mini_projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | 1 | 2019-02-22T14:42:50.000Z | 2019-02-22T14:42:50.000Z | l = int(input())
s = int(input())
d = s - l
if d <= 0:
print("Congratulations, you are within the speed limit!")
elif d >= 1 and d <= 20:
print("You are speeding and your fine is $100.")
elif d >= 21 and d <= 30:
print("You are speeding and your fine is $270.")
else:
print("You are speeding and your fin... | 30.181818 | 61 | 0.614458 |
be5887fe08b5a05d3fe71a29605562694e312a7e | 2,739 | py | Python | Python/hex_conversion/tests/test_hexstring.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/hex_conversion/tests/test_hexstring.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/hex_conversion/tests/test_hexstring.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | import unittest
from coding_parser import CodingString
class HexStringTests(unittest.TestCase):
def setUp(self) -> None:
# bit order : "10101011", "00101110", "00000000", "00010101"
# hex order: AB 2E 00 15
self.hex_string = "AB2E0015"
def test_read_hexlist(self):
"""
... | 32.223529 | 74 | 0.618839 |
fe2c1c0face2db7690e8ebeac8578d308df85540 | 4,217 | py | Python | examples/text_to_sql/IGSQL/model/attention.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/text_to_sql/IGSQL/model/attention.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/text_to_sql/IGSQL/model/attention.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 app... | 38.336364 | 81 | 0.648328 |
fe40f67485d29803726e240f18ad0cc3452b1c03 | 3,225 | py | Python | research/nlp/atae_lstm/src/model_utils/my_utils.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/atae_lstm/src/model_utils/my_utils.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/atae_lstm/src/model_utils/my_utils.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... | 33.247423 | 82 | 0.636589 |
60830b9f4f6b01f35546c61f08969a4d05ad8284 | 252 | py | Python | ebenezer/atencion/views/results/serializer.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | ebenezer/atencion/views/results/serializer.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | 3 | 2020-02-11T23:15:00.000Z | 2021-06-10T20:52:17.000Z | ebenezer/atencion/views/results/serializer.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | from ..models.results import Result
from rest_framework import serializers, viewsets
# Serializers define the API representation.
class ResultSerializer(serializers.ModelSerializer):
class Meta:
model = Result
fields = '__all__'
| 22.909091 | 52 | 0.75 |
71b45fe2e4a6b5bc6df5adff571d4848b307a7b2 | 464 | py | Python | CS305/assignment7/rdt/client.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 22 | 2018-08-07T06:55:10.000Z | 2021-06-12T02:12:19.000Z | CS305/assignment7/rdt/client.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 28 | 2020-03-04T23:47:22.000Z | 2022-02-26T18:50:00.000Z | CS305/assignment7/rdt/client.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 4 | 2019-11-09T15:41:26.000Z | 2021-10-10T08:56:57.000Z | from rdt import socket
import time
text1 = 'wdnmdwsma'
text2 = 'abcdefsgasdasd'
if __name__ == '__main__':
client = socket()
client.send(text1.encode('utf-8'), ('127.0.0.1', 2333))
client.send(text2.encode('utf-8'), ('127.0.0.1', 2333))
with open('alice.txt') as f:
client.send(f.read().encode... | 25.777778 | 66 | 0.599138 |
c78e5543f5301895df94b4f3b921fe02ca413bac | 1,193 | py | Python | webserver/HuConLogMessage.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 2 | 2019-09-25T13:39:22.000Z | 2019-09-26T10:06:13.000Z | webserver/HuConLogMessage.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 44 | 2019-09-25T14:35:48.000Z | 2021-08-20T17:26:12.000Z | webserver/HuConLogMessage.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 8 | 2019-09-25T13:53:07.000Z | 2022-02-24T19:23:44.000Z | #!/usr/bin/python
""" HuConLogMessage.py - The HuCon queue class for log messages.
Copyright (C) 2019 Basler AG
All rights reserved.
This software may be modified and distributed under the terms
of the BSD license. See the LICENSE file for details.
"""
try:
import Queue
except:
import queue a... | 24.346939 | 82 | 0.602682 |
c7a3fe267d68c8fd2a1e68aff18a96b76ff24c1f | 16,703 | py | Python | myems-api/core/datasource.py | 18600575648/myems | 38ab7d509b5ab275a4df0333e6256c586abdfbf9 | [
"MIT"
] | null | null | null | myems-api/core/datasource.py | 18600575648/myems | 38ab7d509b5ab275a4df0333e6256c586abdfbf9 | [
"MIT"
] | null | null | null | myems-api/core/datasource.py | 18600575648/myems | 38ab7d509b5ab275a4df0333e6256c586abdfbf9 | [
"MIT"
] | null | null | null | import falcon
import simplejson as json
import mysql.connector
import config
import uuid
from datetime import datetime, timezone, timedelta
from core.useractivity import user_logger, access_control
class DataSourceCollection:
@staticmethod
def __init__():
""""Initializes DataSourceCollection"""
... | 39.301176 | 119 | 0.503263 |
c7ae9a1e53951ca44659217543deadbe602feaba | 1,884 | py | Python | programm/general.py | team172011/ps_cagebot | ab6f7bdbc74ad3baee3feebc4b7b0fa4f726b179 | [
"MIT"
] | null | null | null | programm/general.py | team172011/ps_cagebot | ab6f7bdbc74ad3baee3feebc4b7b0fa4f726b179 | [
"MIT"
] | null | null | null | programm/general.py | team172011/ps_cagebot | ab6f7bdbc74ad3baee3feebc4b7b0fa4f726b179 | [
"MIT"
] | null | null | null | """
Pyhton-Module for general informations like number ranges and global data
@author: wimmer, simon-justus
"""
import os
#global variables
Running = True
Gamepad = False
leftspeedvalue = 0
rightspeedvalue = 0
# TODO: wrap data to get some kind of final static pattern
class params:
patient_id = range(0, 9999)
... | 28.119403 | 84 | 0.697452 |
c7d7b1ac93b67bdda3afb608dd8915e0076192ea | 100 | py | Python | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/55_tuplas/tuplas.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/55_tuplas/tuplas.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/55_tuplas/tuplas.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | """
Tuplas não tem como mudar
"""
string = (1, 2, 3, 4, 5, 6, 7)
string = list(string)
print(string) | 16.666667 | 30 | 0.61 |
90dba6397826d16385b534119b9830f518b96a16 | 2,479 | py | Python | packages/watchmen-data-kernel/src/watchmen_data_kernel/meta/pipeline_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/meta/pipeline_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/meta/pipeline_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import List, Optional
from watchmen_auth import PrincipalService
from watchmen_data_kernel.cache import CacheService
from watchmen_data_kernel.common import DataKernelException
from watchmen_meta.admin import PipelineService as PipelineStorageService
from watchmen_meta.common import ask_meta_storage, ask_s... | 39.349206 | 112 | 0.786608 |
31297614398652ab3c8812ecf7a567c2c362828b | 1,071 | py | Python | exercises/fr/exc_02_15.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/exc_02_15.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/exc_02_15.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.matcher import PhraseMatcher
from spacy.tokens import Span
import json
with open("exercises/fr/countries.json", encoding="utf8") as f:
COUNTRIES = json.loads(f.read())
with open("exercises/fr/country_text.txt", encoding="utf8") as f:
TEXT = f.read()
nlp = spacy.load("fr_core_news_sm")
... | 30.6 | 74 | 0.708683 |
7dfc3874f45f281f61c9359d3050926e575eac08 | 7,393 | py | Python | applications/neural_search/recall/milvus/feature_extract.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | applications/neural_search/recall/milvus/feature_extract.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | applications/neural_search/recall/milvus/feature_extract.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... | 39.747312 | 132 | 0.646152 |
b40d0788e1e2db22df77acae83386bcb5d12b721 | 2,544 | py | Python | python/oneflow/compatible/single_client/nn/modules/tensor_ops.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 1 | 2021-09-13T02:34:53.000Z | 2021-09-13T02:34:53.000Z | python/oneflow/compatible/single_client/nn/modules/tensor_ops.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | null | null | null | python/oneflow/compatible/single_client/nn/modules/tensor_ops.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 1 | 2021-01-17T03:34:39.000Z | 2021-01-17T03:34:39.000Z | """
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... | 27.652174 | 80 | 0.672956 |
6f126b349659952728106b55122125e4d4215c70 | 2,023 | py | Python | retro/cores/gba/cinema/gb/mooneye-gb/update.py | MatPoliquin/retro | c70c174a9818d1e97bc36e61abb4694d28fc68e1 | [
"MIT-0",
"MIT"
] | 2,706 | 2018-04-05T18:28:50.000Z | 2022-03-29T16:56:59.000Z | retro/cores/gba/cinema/gb/mooneye-gb/update.py | MatPoliquin/retro | c70c174a9818d1e97bc36e61abb4694d28fc68e1 | [
"MIT-0",
"MIT"
] | 242 | 2018-04-05T22:30:42.000Z | 2022-03-19T01:55:11.000Z | retro/cores/gba/cinema/gb/mooneye-gb/update.py | MatPoliquin/retro | c70c174a9818d1e97bc36e61abb4694d28fc68e1 | [
"MIT-0",
"MIT"
] | 464 | 2018-04-05T19:10:34.000Z | 2022-03-28T13:33:32.000Z | #!/usr/bin/env python
import os
import os.path
import shutil
import yaml
from cinema.util import dictMerge
suffixes = {
'C': 'CGB',
'S': 'SGB',
'A': 'AGB',
'mgb': 'MGB',
'sgb': 'SGB',
'sgb2': 'SGB2',
'cgb': 'CGB',
'agb': 'AGB',
'ags': 'AGB',
}
def ingestDirectory(path, dest):
f... | 32.629032 | 131 | 0.503213 |
48bc808ed3af71f945b80d34b67baa9c927bc897 | 9,388 | py | Python | official/cv/crnn_seq2seq_ocr/src/lstm.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/crnn_seq2seq_ocr/src/lstm.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/crnn_seq2seq_ocr/src/lstm.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... | 47.654822 | 118 | 0.577759 |
960866d7a040b8878d1e361da7aa29a397b03989 | 434 | py | Python | loesungen/chapter07/dbscan.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | loesungen/chapter07/dbscan.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | loesungen/chapter07/dbscan.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | from sklearn.datasets import load_iris
from sklearn.cluster import DBSCAN
import numpy as np
X, y = load_iris(return_X_y=True)
dbscan = DBSCAN(eps = 0.6, min_samples = 4).fit(X)
labels = dbscan.labels_
print(labels)
n_clusters = len(set(labels)) - (1 if -1 in labels else 0)
print("Anzahl Cluster:", n_clusters)
n_noisy... | 33.384615 | 64 | 0.746544 |
82c958033edcfe51b1ea9c922e210fc77a46c74f | 488 | py | Python | exercises/pt/solution_03_09_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/pt/solution_03_09_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/pt/solution_03_09_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | from spacy.lang.en import English
from spacy.tokens import Token
nlp = English()
# Definir o atributo "is_country" com o valor padrão como falso (False)
Token.set_extension("is_country", default=False)
# Processar o texto e atribuir o atributo is_country com valor verdadeiro (True) para o token "Spain"
doc = nlp("I ... | 32.533333 | 101 | 0.758197 |
c4cb0a79480291661cf60cd18c4cd0e5aeaa8918 | 1,532 | py | Python | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Oplog/__init__.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 63 | 2018-02-04T03:31:22.000Z | 2022-03-07T08:27:39.000Z | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Oplog/__init__.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 3 | 2017-09-17T02:33:18.000Z | 2020-12-18T23:20:59.000Z | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Oplog/__init__.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 40 | 2018-01-22T16:31:16.000Z | 2022-03-08T04:40:42.000Z | from Oplog import Oplog # NOQA
from OplogState import OplogState # NOQA
from Resolver import Resolver # NOQA
from Tailer import Tailer # NOQA
def config(parser):
parser.add_argument("--oplog.compression", dest="oplog.compression", choices=["none", "gzip"], default="none",
help="Compres... | 72.952381 | 133 | 0.680157 |
48401a2387c3bd16c2dfa7cccd81ecd758cfc5a8 | 792 | py | Python | python/geokml2gpx.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | python/geokml2gpx.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | python/geokml2gpx.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | #!/usr/bin/python3.1
# utf-8
import os.path
from pykml import parser
import gpxpy.gpx
import re
pattern = (r'(\d+[,\.]?\d*)\s' * 3)[:-2] # removes last whitespace
kmlfile = input()
gpxfile = os.path.splitext(kmlfile)[0]+'.gpx'
with open(kmlfile) as f:
doc = parser.parse(f)
gpx = gpxpy.gpx.GPX()
gpx_track = gpx... | 27.310345 | 84 | 0.699495 |
6f8eee01d2602197b1f92c0a5c9e6569f8133c68 | 413 | py | Python | skil/__init__.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 23 | 2018-09-19T13:34:27.000Z | 2022-02-14T09:49:35.000Z | skil/__init__.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 33 | 2018-10-18T07:58:05.000Z | 2019-05-16T08:24:12.000Z | skil/__init__.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 11 | 2018-10-21T18:58:57.000Z | 2022-02-14T09:49:36.000Z | from skil.base import *
from skil.deployments import *
from skil.experiments import *
from skil.models import *
from skil.workspaces import *
from skil.context import *
from skil.services import *
from skil.resources import *
from skil.jobs import *
from skil.spark import *
from skil.utils import *
from skil.config imp... | 25.8125 | 51 | 0.791768 |
b502bed9c2857b9ea9fb4db89b70eccf1f63ef7c | 1,052 | py | Python | 7-assets/past-student-repos/data_struct_and_algo-master/binary_search.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 4 | 2021-08-31T00:56:40.000Z | 2021-11-29T03:08:55.000Z | 7-assets/past-student-repos/data_struct_and_algo-master/binary_search.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 3 | 2022-02-14T18:48:11.000Z | 2022-03-30T05:26:26.000Z | 7-assets/past-student-repos/data_struct_and_algo-master/binary_search.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 1 | 2021-08-31T00:54:51.000Z | 2021-08-31T00:54:51.000Z |
arr=[1,2,3,4,5,6]
x=5
print("iterative approach to find element using")
def binary_search_iterative(arr,l,r,x):
while(l<=r):
mid=l+(r-l)//2
if(arr[mid]==x):
return mid
elif(arr[mid]<x):
l=mid+1
else:
l=r-1
return -1
result_iterative=binary_... | 23.909091 | 62 | 0.569392 |
962a28ceea2752abd8eb7e0cd77b8d7b426dde25 | 191 | py | Python | Online-Judges/DimikOJ/Python/01-even-odd-1.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/01-even-odd-1.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/01-even-odd-1.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | how_many = int(input())
x = []
for i in range(how_many):
x.append(int(input()))
for i in x:
if i % 2 == 0:
print("even")
else:
print("odd")
#print(x, type(x[0]))
| 15.916667 | 26 | 0.502618 |
965cfaf4043c3ec768c1c1877fd28a3f45ce039a | 3,643 | py | Python | Tests/test_models/test_sparse_layerless_net_model.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | Tests/test_models/test_sparse_layerless_net_model.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | Tests/test_models/test_sparse_layerless_net_model.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | import numpy.random
from Tests import DATA_WIDTH, OUT_WIDTH, TEST_DATA, DATA_SIZE, XOR_SIMULATION, TEST_XOR, LEARNING_RATE, PRECISION
from savageml.models import LayerlessSparseNetModel
from savageml.simulations import BinaryXorSimulation
import numpy as np
HIDDEN_WIDTH = 10
EXPECTED_CONNECTION_COUNT = 88
PRECISION =... | 40.932584 | 113 | 0.644249 |
73700f2d4894c1848252a53fdf613af5545020c7 | 5,910 | py | Python | Packs/Perch/Integrations/Perch/Perch_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Perch/Integrations/Perch/Perch_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Perch/Integrations/Perch/Perch_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
ALERTS = {
"results": [
{
"closed_at": "2020-11-20T01:18:30.224654Z",
"community_id": 8,
"count": 0,
"created_at": "2020-11-19T15:28:03.451476Z",
"dest_geo_ip": {},
"dest_ip": "8.8.8.8",
"dest_port": 1122,
... | 33.01676 | 110 | 0.481387 |
73a7ef3931b5fd08ad7d75def1bbb49605e20c02 | 10,949 | py | Python | frappe-bench/apps/erpnext/erpnext/stock/doctype/stock_reconciliation/stock_reconciliation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/stock/doctype/stock_reconciliation/stock_reconciliation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/stock/doctype/stock_reconciliation/stock_reconciliation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe, erpnext
import frappe.defaults
from frappe import msgprint, _
from frappe.utils import cstr, flt, cint
from erpnext.stock.stock_ledger im... | 35.664495 | 159 | 0.729564 |
73aefdfdafa1f35d056754f5d1f3fe049bf27f1e | 3,605 | py | Python | Packs/Salesforce/Scripts/GenerateTimeZone/GenerateTimeZone.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Salesforce/Scripts/GenerateTimeZone/GenerateTimeZone.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Salesforce/Scripts/GenerateTimeZone/GenerateTimeZone.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
location_to_timezonesidkey = {
"kiritimati": "Pacific/Kiritimati",
"chatham": "Pacific/Chatham",
"auckland": "Pacific/Auckland",
"enderbury": "Pacific/Enderbury",
"fiji": "Pacific/Fiji",
"tongatapu": "Pac... | 30.811966 | 65 | 0.623856 |
fbc2df3687253c4882f216ad3fb64809992ea23a | 2,288 | py | Python | main.py | juergenpabel/livecenter_sportschau_de | d4c08b14e71ff12fee712d83faa27ce566ed9d8b | [
"Apache-2.0"
] | null | null | null | main.py | juergenpabel/livecenter_sportschau_de | d4c08b14e71ff12fee712d83faa27ce566ed9d8b | [
"Apache-2.0"
] | null | null | null | main.py | juergenpabel/livecenter_sportschau_de | d4c08b14e71ff12fee712d83faa27ce566ed9d8b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# 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 in writing, softwar... | 34.149254 | 107 | 0.756993 |
f7be1fda61887a6d6c229687d74049c0a142ae3e | 25,046 | py | Python | official/nlp/pangu_alpha/src/pangu_alpha.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | official/nlp/pangu_alpha/src/pangu_alpha.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | official/nlp/pangu_alpha/src/pangu_alpha.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | # 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... | 50.700405 | 120 | 0.599976 |
f7fdeb55bc0326c1b03424292a432a31dc7976f6 | 769 | pyde | Python | sketches/colldectrect/colldectrect.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/colldectrect/colldectrect.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/colldectrect/colldectrect.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | from enemies import Enemy
from player import Player
def setup():
global enemy, player
size(420, 420)
this.surface.setTitle("Rectangle Collision Detection")
enemy = Enemy(width/2 - 64, height/2 - 32)
player = Player(20, 20)
def draw():
global enemy, player
background("#95ee0f5")
if rect... | 24.806452 | 58 | 0.592978 |
79341f143c4a81fb89741c9641b216048032a9bf | 925 | py | Python | chapter_ten/deploying_nightly_rust_in_rust/flask_app/src/data_access.py | PacktPublishing/Speed-up-your-Python-with-Rust | 1fce5fb59ea966015768e7eca51c0e31d69531ec | [
"MIT"
] | 21 | 2021-09-10T12:46:26.000Z | 2022-03-23T02:50:39.000Z | chapter_nine/building_a_message_bus/src/data_access.py | PacktPublishing/Speed-up-your-Python-with-Rust | 1fce5fb59ea966015768e7eca51c0e31d69531ec | [
"MIT"
] | null | null | null | chapter_nine/building_a_message_bus/src/data_access.py | PacktPublishing/Speed-up-your-Python-with-Rust | 1fce5fb59ea966015768e7eca51c0e31d69531ec | [
"MIT"
] | 6 | 2021-09-02T08:32:37.000Z | 2022-03-17T21:15:25.000Z | from flask import _app_ctx_stack
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, scoped_session
from config import GlobalParams
class DbEngine:
def __init__(self) -> None:
params = GlobalParams()
self.base = dec... | 33.035714 | 60 | 0.522162 |
e38b6383160941cea31cc4d075ca266c9bb1f88a | 15,947 | py | Python | repo/service.vpn.manager/libs/vpnapi.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 1 | 2017-11-26T18:18:46.000Z | 2017-11-26T18:18:46.000Z | repo/service.vpn.manager/libs/vpnapi.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | null | null | null | repo/service.vpn.manager/libs/vpnapi.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 3 | 2019-09-30T19:52:05.000Z | 2020-04-12T21:20:56.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Zomboided
#
# 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... | 52.114379 | 168 | 0.615727 |
49eb6cf1e901f07dc5e103f4b0ae3b6b6a139397 | 2,367 | py | Python | Paddle_Industry_Practice_Sample_Library/nlp_projects/relation_extraction/ernie/utils/metric.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-01-12T06:52:43.000Z | 2022-01-12T06:52:43.000Z | Paddle_Industry_Practice_Sample_Library/nlp_projects/relation_extraction/ernie/utils/metric.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | null | null | null | Paddle_Industry_Practice_Sample_Library/nlp_projects/relation_extraction/ernie/utils/metric.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 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... | 34.808824 | 138 | 0.679763 |
b70230747dae2f5c406d6128049ce913e33c2c98 | 1,910 | py | Python | python_gui_tkinter/KALU/GARBAGE/TEST/Generic.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/KALU/GARBAGE/TEST/Generic.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/KALU/GARBAGE/TEST/Generic.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | import tkinter as tk
from tkinter import *
from tkinter import font
from tkinter.filedialog import askopenfilename
from tkinter import ttk
import textwrap
from AppOperations import AppOperations as ao # the class build for this purpose
from CommandsGUI import CommandsGUI
from CommandsGUI import ScreenGUI
#from ... | 26.901408 | 94 | 0.702618 |
b70aebfefe6261cd66358238afd45911afbc0377 | 678 | py | Python | python/color/color.py | immortal/sandbox | 761645c11399b15f624104accdf39688faf96a04 | [
"BSD-3-Clause"
] | null | null | null | python/color/color.py | immortal/sandbox | 761645c11399b15f624104accdf39688faf96a04 | [
"BSD-3-Clause"
] | 1 | 2020-06-25T03:59:50.000Z | 2020-06-25T03:59:50.000Z | python/color/color.py | immortal/sandbox | 761645c11399b15f624104accdf39688faf96a04 | [
"BSD-3-Clause"
] | null | null | null | codeCodes = {
'black': u'0;30', 'bright gray': u'0;37',
'blue': u'0;34', 'white': u'1;37',
'green': u'0;32', 'bright blue': u'1;34',
'cyan': u'0;36', 'bright green': u'1;32',
'red': u'0;31', 'bright cyan': u'1;36',
'purple': u'0;35', 'bright red': u'1;31',
'yellow': u'0;33', 'bright purple':... | 33.9 | 94 | 0.539823 |
b72eb2b0b8341107ecc3d73195d89f5242c523b4 | 448 | py | Python | leetcode/953-Verifying-an-Alien-Dictionary/solution.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/953-Verifying-an-Alien-Dictionary/solution.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/953-Verifying-an-Alien-Dictionary/solution.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
def isAlienSorted(self, words: List[str], order: str) -> bool:
a_to_l = dict(zip(order, 'abcdefghijklmnopqrstuvwxyz'))
def translate(w):
nw = ''
for c in w:
nw += a_to_l[c]
return nw
prev = ''
for w in words:
... | 24.888889 | 66 | 0.464286 |
3f93a55d44251ed6fb3de47520a13fdcb50f4434 | 3,769 | py | Python | python/coursera_python/WESLEYAN/week4/test/ph_4.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/WESLEYAN/week4/test/ph_4.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/WESLEYAN/week4/test/ph_4.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | """
This program maintains a database of names and phone numbers in a csv
file called myphones.csv. It is run from the command line and is menu
driven. To start it, save it in a directory and from the terminal run
>python phones.py
It can also be run from this editor in the usual way.
Version FINAL:
"""
import os
imp... | 26.730496 | 78 | 0.579995 |
b78e437376eede18e57dce6e3555e8eec1808562 | 137 | py | Python | input_eval.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | input_eval.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | input_eval.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | # Evaluate whether P(x) = k, where P is a polynomial
x, k = map(int, input().split())
P = input()
y = lambda x:eval(P)
print(y(x) == k) | 19.571429 | 52 | 0.59854 |
b7b4e2dbd0b024e4b686ee62347ae89e72b3bb60 | 15,962 | py | Python | BtmManager-Prototyp-py/Gui_ui/BtM_gui.py | datend3nker/JuFo-BtM | a01e931ec4862c12e8a4861eed0661806ee2d19e | [
"BSD-Source-Code"
] | null | null | null | BtmManager-Prototyp-py/Gui_ui/BtM_gui.py | datend3nker/JuFo-BtM | a01e931ec4862c12e8a4861eed0661806ee2d19e | [
"BSD-Source-Code"
] | null | null | null | BtmManager-Prototyp-py/Gui_ui/BtM_gui.py | datend3nker/JuFo-BtM | a01e931ec4862c12e8a4861eed0661806ee2d19e | [
"BSD-Source-Code"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'BtM_gui.ui'
#
# Created by: PyQt5 UI code generator 5.13.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWi... | 57.417266 | 116 | 0.72209 |
127bc3f124f6362a8dc083fc4776d2806403ee48 | 3,890 | py | Python | src/bo4e/enum/themengebiet.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/enum/themengebiet.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/enum/themengebiet.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | # pylint:disable=missing-module-docstring
from bo4e.enum.strenum import StrEnum
class Themengebiet(StrEnum):
"""
Über dieses ENUM kann eine thematische Zuordnung, beispielsweise eines Ansprechpartners, vorgenommen werden.
"""
ALLGEMEINER_INFORMATIONSAUSTAUSCH = "ALLGEMEINER_INFORMATIONSAUSTAUSCH" #... | 54.027778 | 113 | 0.743702 |
35ff8fc119c465400e82a0eff0cf1a9507b02ab6 | 1,486 | py | Python | backend/helpers/Config.py | bytebang/ppvm | 07a0650c618b9dd6abc7563070a80c132034f532 | [
"MIT"
] | null | null | null | backend/helpers/Config.py | bytebang/ppvm | 07a0650c618b9dd6abc7563070a80c132034f532 | [
"MIT"
] | null | null | null | backend/helpers/Config.py | bytebang/ppvm | 07a0650c618b9dd6abc7563070a80c132034f532 | [
"MIT"
] | null | null | null | import json
import os
class Config:
@staticmethod
def _loadConfig():
""" Loads the configuration file and returns it """
current_path = os.path.dirname(os.path.abspath(__file__))
config_file = open(current_path+"/../settings.json")
return config_file
@classmethod
def _t... | 34.55814 | 119 | 0.566622 |
671ed675ce100af0fa7be1c7ab9fe71a1f8495dc | 10,654 | py | Python | scripts/to_express_repo.py | jdehotin/IFC4.3.x-development | 5652a25dac27242af8c60f1a33206d1697948ffa | [
"FSFAP"
] | 1 | 2021-08-31T16:12:09.000Z | 2021-08-31T16:12:09.000Z | scripts/to_express_repo.py | Moult/IFC4.3.x-development | 5dfacdc91f04b446f9d7386b950099fc14e6587e | [
"FSFAP"
] | null | null | null | scripts/to_express_repo.py | Moult/IFC4.3.x-development | 5dfacdc91f04b446f9d7386b950099fc14e6587e | [
"FSFAP"
] | null | null | null | # @todo: double encoding e.g Role &lt;&gt;
# @todo: schema name not really discoverable
# @todo: ControlPointsList / ColourList : LIST [2:?] OF LIST [2:?]
# @todo: IfcClassificationReference.HasReferences self referential inverse
# @todo: schema namespace different in constraint expression
import sys
import ht... | 38.05 | 348 | 0.55275 |
220240e16c136191bb754df08fb9e07e32101a58 | 993 | py | Python | src/classifiers/kff_classifier.py | Somsubhra/Enrich | cf1e69b86ceb64c8b09c98b442e09c1196b50125 | [
"MIT"
] | 1 | 2015-11-30T09:27:51.000Z | 2015-11-30T09:27:51.000Z | src/classifiers/kff_classifier.py | Somsubhra/Enrich | cf1e69b86ceb64c8b09c98b442e09c1196b50125 | [
"MIT"
] | null | null | null | src/classifiers/kff_classifier.py | Somsubhra/Enrich | cf1e69b86ceb64c8b09c98b442e09c1196b50125 | [
"MIT"
] | null | null | null | # Headers
__author__ = 'Somsubhra Bairi'
__email__ = 'somsubhra.bairi@gmail.com'
# All imports
from extras import Logger
from nltk import PorterStemmer
# Classifier based on Kucera Francis frequency
class KFFClassifier:
# Constructor for the KFF classifier
def __init__(self, dict_file):
dictionary_... | 26.131579 | 72 | 0.651561 |
224ea597c07540ae684b83c35fd4f00936f1eeb0 | 143 | py | Python | hardware/chip/rtl872xd/hal/hal_test/spi/ucube.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | hardware/chip/rtl872xd/hal/hal_test/spi/ucube.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | hardware/chip/rtl872xd/hal/hal_test/spi/ucube.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z | src = Split('''
spi_test.c
''')
component = aos_component('spi_test', src)
component.add_cflags('-Wall')
component.add_cflags('-Werror')
| 15.888889 | 42 | 0.685315 |
2273990a79397a0ff96b34f61010d784ab6c1aca | 3,485 | py | Python | 03_TicTacToe/2 Musterloesung/tic_tac_toe_modell.py | kilian-funk/Python-Kurs | f5ef5a2fb2a875d2e80d77c1a6c3596a0e577d7f | [
"MIT"
] | null | null | null | 03_TicTacToe/2 Musterloesung/tic_tac_toe_modell.py | kilian-funk/Python-Kurs | f5ef5a2fb2a875d2e80d77c1a6c3596a0e577d7f | [
"MIT"
] | null | null | null | 03_TicTacToe/2 Musterloesung/tic_tac_toe_modell.py | kilian-funk/Python-Kurs | f5ef5a2fb2a875d2e80d77c1a6c3596a0e577d7f | [
"MIT"
] | null | null | null | from enum import Enum
class Pos(Enum):
OBEN_LINKS = "oben links"
OBEN_MITTE = "oben mitte"
OBEN_RECHTS = "oben rechts"
MITTE_LINKS = "mitte links"
MITTE_MITTE = "mitte mitte"
MITTE_RECHTS = "mitte rechts"
UNTEN_LINKS = "unten links"
UNTEN_MITTE = "unten mitte"
UNTEN_RECHTS = "unten ... | 33.190476 | 88 | 0.6066 |
452f982873007b371232a52720fc3ddf025e780d | 1,400 | py | Python | src/wordpress_plugin/build.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 3 | 2020-08-24T19:02:09.000Z | 2021-05-27T20:22:41.000Z | src/wordpress_plugin/build.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 342 | 2020-08-13T10:24:23.000Z | 2021-08-12T14:01:52.000Z | src/wordpress_plugin/build.py | visuanalytics/visuanalytics | f9cce7bc9e3227568939648ddd1dd6df02eac752 | [
"MIT"
] | 8 | 2020-09-01T07:11:18.000Z | 2021-04-09T09:02:11.000Z | import os
import subprocess
import sys
from distutils.dir_util import copy_tree
import zipfile
import shutil
FRONTEND_LOCATION = "../frontend"
def main():
cwd = os.path.dirname(os.path.realpath(__file__))
build = os.path.join(cwd, "build", "visuanalytics")
frontend_path = os.path.normpath(
os.pat... | 25.454545 | 78 | 0.66 |
184f34592bbc074fe5724ebe7ec268aca2af0d75 | 75,003 | py | Python | research/cvtmodel/resnet_ipl/src/seresnet152d.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cvtmodel/resnet_ipl/src/seresnet152d.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cvtmodel/resnet_ipl/src/seresnet152d.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | import mindspore.ops as P
from mindspore import nn
class Module0(nn.Cell):
def __init__(self, conv2d_0_in_channels, conv2d_0_out_channels, conv2d_2_in_channels, conv2d_2_out_channels,
conv2d_2_stride, conv2d_4_in_channels, conv2d_4_out_channels, conv2d_6_in_channels,
conv2d_6_out... | 67.814647 | 119 | 0.537565 |
188325d7675e03b9633a9c6d4b16fe4d4ed471f8 | 8,888 | py | Python | src/bot.py | albertonl/jeff | 0442284e70a708d464bd48ae383fffb8a2552472 | [
"MIT"
] | null | null | null | src/bot.py | albertonl/jeff | 0442284e70a708d464bd48ae383fffb8a2552472 | [
"MIT"
] | null | null | null | src/bot.py | albertonl/jeff | 0442284e70a708d464bd48ae383fffb8a2552472 | [
"MIT"
] | null | null | null | import telebot
import logging
#from telegram.ext import Updater
#from telegram.ext import CommandHandler
import random
from config.auth import token, my_bot_id
from config.ident import unames, rnames
# Names of the bot to use later in regMessageReply()
names = ['bot','jeff','jeffrey','annoyingbot','annoying bot','Bot... | 43.568627 | 234 | 0.581458 |
a14d2f2effdb2233a11609a8f2cf91cda49e06e7 | 3,689 | py | Python | tests/test_app_config.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 31 | 2018-01-05T22:49:33.000Z | 2022-02-02T10:30:23.000Z | tests/test_app_config.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 737 | 2017-12-11T17:42:11.000Z | 2022-03-29T22:42:52.000Z | tests/test_app_config.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 46 | 2018-02-23T09:04:23.000Z | 2022-02-09T18:29:51.000Z | """
Test App Config from files
"""
import os
from unittest.mock import MagicMock
from mock import patch
import pytest
from azure.core.exceptions import ResourceNotFoundError
import fence
from fence import app_init, _check_azure_storage
from tests import test_settings
from tests.conftest import FakeBlobServiceClient
... | 31.529915 | 107 | 0.665492 |
629ce4f707c42f4f05ed1e3e2da93f3e0cfb82a5 | 359 | py | Python | task_manager/task_manager/tasks/urls.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | 1 | 2022-03-03T10:16:14.000Z | 2022-03-03T10:16:14.000Z | task_manager/task_manager/tasks/urls.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | task_manager/task_manager/tasks/urls.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | from django.urls import path
from task_manager.tasks.views import show_home, delete_task, start_task, finish_task
urlpatterns = (
path('', show_home, name='index'),
path('delete/<int:pk>/', delete_task, name='delete task'),
path('start/<int:pk>/', start_task, name='start task'),
path('finish/<int:pk>/... | 32.636364 | 84 | 0.688022 |
c5099a325a5aaa2af1dc810f31bb363b24d2cd16 | 1,117 | py | Python | Organisation/Recherche/Pillow/Teil1/test.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 3 | 2020-08-24T19:02:09.000Z | 2021-05-27T20:22:41.000Z | Organisation/Recherche/Pillow/Teil1/test.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 342 | 2020-08-13T10:24:23.000Z | 2021-08-12T14:01:52.000Z | Organisation/Recherche/Pillow/Teil1/test.py | visuanalytics/visuanalytics | f9cce7bc9e3227568939648ddd1dd6df02eac752 | [
"MIT"
] | 8 | 2020-09-01T07:11:18.000Z | 2021-04-09T09:02:11.000Z | from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
from PIL import ImageFilter
from PIL import ImageEnhance
source_img = Image.open("../Images/germanmap1920.png")
second_img = Image.open("../Images/heiter2.png")
img1 = Image.new("RGBA", source_img.size, (0, 0, 0, 0))
width, height = source_i... | 30.189189 | 62 | 0.689346 |
c51d4f6ac66d92a66dec33670be05844ad38a0f4 | 4,442 | py | Python | scrapers/scrape_zg.py | AryaVashisht/covid_19 | 0c734615a1190a5b2fff4697f47731ef2b8b6918 | [
"CC-BY-4.0"
] | 1 | 2021-04-25T14:32:32.000Z | 2021-04-25T14:32:32.000Z | scrapers/scrape_zg.py | AryaVashisht/covid_19 | 0c734615a1190a5b2fff4697f47731ef2b8b6918 | [
"CC-BY-4.0"
] | null | null | null | scrapers/scrape_zg.py | AryaVashisht/covid_19 | 0c734615a1190a5b2fff4697f47731ef2b8b6918 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
import collections
import csv
from io import StringIO
import scrape_common as sc
main_url = 'https://www.zg.ch/behoerden/gesundheitsdirektion/statistikfachstelle/themen/gesundheit/corona'
ct_csv_url = 'https://www.zg.ch/behoerden/gesundheitsdirektion/statistikfachstelle/daten/themen/result-the... | 43.980198 | 431 | 0.695182 |
c5263e6477f7c88e76e2056a13a8960c8b45f7ca | 1,167 | py | Python | stanford2/py/w4_bf.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null | stanford2/py/w4_bf.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null | stanford2/py/w4_bf.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
"""
A[0, s] = 0; A[0, v] = +inf for all v != s
# Порядок обхода важен
# Correct if no neg cycles
n # count vetrex
m # #edges
# FIXME: а что с параллельными ребрами?
i # budget
for i = 1, 2... n-1:
for each v in V:
A[i, v] = min (
A[i-1, v] # 1)
# in/out... | 19.131148 | 63 | 0.560411 |
9ab4acc321518b71c838e42d9288e8fb9c82ca83 | 1,029 | py | Python | antonio_sub.py | bagindakarli/KonserMusik-Python3.7 | 2d26d534eac63cdf0da5214b37c611a79e1c5ac9 | [
"CNRI-Python"
] | null | null | null | antonio_sub.py | bagindakarli/KonserMusik-Python3.7 | 2d26d534eac63cdf0da5214b37c611a79e1c5ac9 | [
"CNRI-Python"
] | null | null | null | antonio_sub.py | bagindakarli/KonserMusik-Python3.7 | 2d26d534eac63cdf0da5214b37c611a79e1c5ac9 | [
"CNRI-Python"
] | null | null | null | # import paho mqtt
import paho.mqtt.client as mqtt
# import time for sleep()
import time
# buat callback on_message; jika ada pesan
# maka fungsi ini akan dipanggil secara asynch
########################################
def on_message(client, userdata, message):
print("Schedule : \n" ,str(message.payload.decode("... | 24.5 | 64 | 0.677357 |
b12751f4018413ae71b14f11bceed4ec9114452f | 2,439 | py | Python | apps/register/auth.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 2 | 2018-05-18T08:38:29.000Z | 2018-05-22T08:26:09.000Z | apps/register/auth.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 118 | 2017-10-31T13:45:09.000Z | 2018-02-24T20:51:42.000Z | apps/register/auth.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | null | null | null | """ License
MIT License
Copyright (c) 2017 OpenAdaptronik
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge,... | 38.109375 | 82 | 0.715867 |
b153e3553ab5063d3d909fe626382bee7892cf7d | 7,824 | py | Python | finbyz_dashboard/finbyz_dashboard/dashboard_overrides/data.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | 1 | 2021-11-19T05:27:11.000Z | 2021-11-19T05:27:11.000Z | finbyz_dashboard/finbyz_dashboard/dashboard_overrides/data.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | null | null | null | finbyz_dashboard/finbyz_dashboard/dashboard_overrides/data.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | 2 | 2021-08-21T10:41:38.000Z | 2021-11-19T05:27:13.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
from six import iteritems, string_types
"""build query for doclistview and return results"""
import frappe.defaults
from dateutil.parser._parser import ParserError
import opera... | 33.293617 | 127 | 0.723799 |
771563478db36b1f2573faa18e2f5dff7ff42f82 | 501 | py | Python | SurveyManager/survey/migrations/0003_respuestapregunta_alumno.py | javiervar/SurveyManager | bbe2ed356654c32586c587f58c609c8ce014e96b | [
"MIT"
] | null | null | null | SurveyManager/survey/migrations/0003_respuestapregunta_alumno.py | javiervar/SurveyManager | bbe2ed356654c32586c587f58c609c8ce014e96b | [
"MIT"
] | null | null | null | SurveyManager/survey/migrations/0003_respuestapregunta_alumno.py | javiervar/SurveyManager | bbe2ed356654c32586c587f58c609c8ce014e96b | [
"MIT"
] | null | null | null | # Generated by Django 2.1.2 on 2018-11-26 06:35
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('survey', '0002_auto_20181126_0514'),
]
operations = [
migrations.AddField(
model_name='respuest... | 25.05 | 124 | 0.648703 |
773fe0728bcabfdc05764cd90f092500ed9c265c | 124 | py | Python | Arrays and Strings/MaximumOfSubarrays.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Arrays and Strings/MaximumOfSubarrays.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Arrays and Strings/MaximumOfSubarrays.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | 1 | 2020-02-12T16:57:46.000Z | 2020-02-12T16:57:46.000Z | """
Maximum of all subarrays of size k
https://practice.geeksforgeeks.org/problems/maximum-of-all-subarrays-of-size-k/0
"""
| 24.8 | 80 | 0.758065 |
774da2ad53349b3f01ea582bd29e644295bcd249 | 360 | py | Python | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/63_dictionary_comprehension/dictionary.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/63_dictionary_comprehension/dictionary.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/63_dictionary_comprehension/dictionary.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | import sys
lista = [
('chave1', 'valor1'),
('chave2', 'valor2'),
('chave1', 'valor1'),
('chave2', 'valor2'),
('chave1', 'valor1'),
]
#d1 = {x.upper(): y.upper() for x, y in lista} # deixa tudo em maiusculo
#d1 = {x for x in range(5)}
d1 = {f'chave_{x}': 'a' for x in range(5)}
print(d1)
print(sys.ge... | 24 | 72 | 0.572222 |
620a445041c1e1fc312c72d4ab5fec502fcd7e17 | 892 | py | Python | ProjectEuler_plus/euler_078.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | ProjectEuler_plus/euler_078.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | ProjectEuler_plus/euler_078.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from itertools import count
def pentagonal_seq(n): # https://oeis.org/A001318
if n == 0:
return 0
if n == 1:
return 1
return n * (3 * n - 1) // 2
def partition(n, part, penta): # https://oeis.org/A000041
if n == 0:
return 1
if n == 1:
retu... | 20.744186 | 58 | 0.505605 |
623ee179ed2740028d3a1d6531ef1d2e00db654b | 2,300 | py | Python | Packs/DigitalGuardian/Integrations/DigitalGuardian/DigitalGuardian_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/DigitalGuardian/Integrations/DigitalGuardian/DigitalGuardian_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/DigitalGuardian/Integrations/DigitalGuardian/DigitalGuardian_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
import requests_mock
from CommonServerPython import *
RETURN_ERROR_TARGET = 'DigitalGuardian.return_error'
auth_url = "https://authorization_url.com"
arc_url = "https://arc_url.com"
@pytest.fixture(scope='function', autouse=True)
def setup_params(mocker):
demisto_params = {
"auth_url": au... | 38.983051 | 114 | 0.674783 |
02b17df4f474826481a6cb14e0b73ae9e8afcc53 | 1,614 | py | Python | solutions/im2recipe/src/mysql_toolkits.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-04-06T06:13:20.000Z | 2021-04-06T06:13:20.000Z | solutions/im2recipe/src/mysql_toolkits.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/im2recipe/src/mysql_toolkits.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | import pymysql
import time
from src.config import TABLE_NAME, temp_file_path, MYSQL_HOST, MYSQL_PORT, MYSQL_USER, MYSQL_PASSWORD, MYSQL_DATABASE
# TABLE_NAME = 'image_search_1'
def connect_mysql():
try:
conn = pymysql.connect(host="127.0.0.1",user="root",port=3306,password="123456",database="mysql", lo... | 24.454545 | 197 | 0.669145 |
b82558d5f382bffee8d0574b8588db79a596f06f | 929 | py | Python | tokenize.py | lum4chi/chinltk | f129394984858e7789bec39a2900ebff6f9ae380 | [
"Apache-2.0"
] | null | null | null | tokenize.py | lum4chi/chinltk | f129394984858e7789bec39a2900ebff6f9ae380 | [
"Apache-2.0"
] | null | null | null | tokenize.py | lum4chi/chinltk | f129394984858e7789bec39a2900ebff6f9ae380 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Francesco Lumachi <francesco.lumachi@gmail.com>
import nltk, string
def words(text):
""" Tokenize by word AND removed punctuation token """
return [w for w in nltk.word_tokenize(text.lower()) if w not in string.punctuation]
def filter_stopwo... | 35.730769 | 100 | 0.669537 |
b897f04003931bc236e77144a0ad89e29d184072 | 5,896 | py | Python | src/server/pipeline.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 156 | 2021-11-19T18:50:14.000Z | 2022-03-31T19:48:59.000Z | src/server/pipeline.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 30 | 2021-12-27T19:30:56.000Z | 2022-03-30T17:49:00.000Z | src/server/pipeline.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 14 | 2022-01-17T23:24:34.000Z | 2022-03-29T09:27:47.000Z | import json
from ingestion.pipeline import Pipeline
from ingestion.transformers import (
AnomalyTransformer,
IssueTransformer,
MetricTransformer,
MonitorTransformer,
ZScoreTransformer,
)
from server.middleware import db
from .config import db_config as destination_dict
import logging
from sqlalche... | 29.777778 | 144 | 0.674186 |
a22bc5e7d8add7bdf410083ce7db54ed77ee4baa | 192 | py | Python | exercises/en/solution_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/en/solution_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/en/solution_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | from spacy.lang.en import English
nlp = English()
people = ["David Bowie", "Angela Merkel", "Lady Gaga"]
# Create a list of patterns for the PhraseMatcher
patterns = list(nlp.pipe(people))
| 21.333333 | 54 | 0.723958 |
a7b89a4a9ffc04734bad2cbc19a1317d374f0952 | 144 | py | Python | Curso-Em-Video-Python/1Materias/08_Utilizando_Modulos/#08 - Utilizando Módulos B from.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/08_Utilizando_Modulos/#08 - Utilizando Módulos B from.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/08_Utilizando_Modulos/#08 - Utilizando Módulos B from.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from math import sqrt, floor
num = int(input('Digite um numero: '))
raiz = sqrt(num)
print('a raiz de {} é igual a {}'.format(num, floor(raiz))) | 36 | 59 | 0.666667 |
3bf4e0517612be047b7c20644f4aeddf0b9020d4 | 2,525 | py | Python | research/audio/deepspeech2/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/audio/deepspeech2/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/audio/deepspeech2/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 48.557692 | 114 | 0.687921 |
ce0bd166a45cc1d657b8e97bbd73716177a0a1ca | 295 | py | Python | authApp/serializers/accountSerializer.py | xlausae/Web-Service | fbc4b45f34fe5ac69d8da2ffe09e5c32046e27d5 | [
"MIT"
] | null | null | null | authApp/serializers/accountSerializer.py | xlausae/Web-Service | fbc4b45f34fe5ac69d8da2ffe09e5c32046e27d5 | [
"MIT"
] | 1 | 2022-01-05T23:52:37.000Z | 2022-01-05T23:52:37.000Z | authApp/serializers/accountSerializer.py | xlausae/Web-Service | fbc4b45f34fe5ac69d8da2ffe09e5c32046e27d5 | [
"MIT"
] | null | null | null | from authApp.models.account import Account
from rest_framework import serializers
#Json a objeto y vis
class AccountSerializer(serializers.ModelSerializer):
#Heredar atributos de Meta
class Meta:
model = Account
fields = ['balance', 'lastChangeDate', 'isActive'] | 36.875 | 59 | 0.722034 |
020c178cd6c73a0b0b1056586e282da13936a7db | 734 | py | Python | Curso-Em-Video-Python/2Exercicios/105_Analisando_e_gerando_dicionarios.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/105_Analisando_e_gerando_dicionarios.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/105_Analisando_e_gerando_dicionarios.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | def notas(* valores, sit=False):
"""
-> função para analisar notas e varias situações dos alunos
:param valores: Uma ou mais nota de alunos, aceita quantas quiser
:param sit: retorna se o ano foi bom ou ruim do aluno
:return: dicionario com varios informações dos alunos
"""
dic = dict()
... | 29.36 | 69 | 0.579019 |
ced11216a40ac6bb10e93382e6ee61cc85fbddf6 | 3,426 | py | Python | v353/python/script.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 2 | 2019-12-10T10:25:11.000Z | 2021-01-26T13:59:40.000Z | v353/python/script.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | null | null | null | v353/python/script.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 1 | 2020-12-06T21:24:58.000Z | 2020-12-06T21:24:58.000Z | import numpy as np
from scipy import optimize
import matplotlib.pyplot as plt
from uncertainties import ufloat
print('Entladung ANFANG')
def f(x, a, b):
return a*x+b
t, U = np.genfromtxt('python/daten/werte_a.txt', unpack=True) # unsere Messwerte
# in ms, Volt
t *= 1e-3 # jetzt in s
m = np.linspace(0, 0.3, ... | 25.759398 | 97 | 0.671629 |
d7edc649e56e1584f442373a37d44d552ddc1b61 | 3,988 | py | Python | zzu_news_spider.py | Tiangewang0524/zzu_spider | eddd534f6a7bfb39eec5a7e240f830550b2285cb | [
"Apache-2.0"
] | null | null | null | zzu_news_spider.py | Tiangewang0524/zzu_spider | eddd534f6a7bfb39eec5a7e240f830550b2285cb | [
"Apache-2.0"
] | null | null | null | zzu_news_spider.py | Tiangewang0524/zzu_spider | eddd534f6a7bfb39eec5a7e240f830550b2285cb | [
"Apache-2.0"
] | null | null | null | import requests
from lxml import etree
import re
# 敏感词过滤类，AC自动机
import Ac_auto
headers = {
'User-Agent':
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0;'
}
# 查找所有栏目的url，并保存
def all_urls_list():
urls_list = []
url = 'http://news.zzu.edu.cn/'
r = requests.get(url, headers=heade... | 27.694444 | 98 | 0.578736 |
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