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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f3d41c633fdccb2fe96178ecfc3ba73ac621925d | 916 | py | Python | backend/app/core/annotation_validator.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | null | null | null | backend/app/core/annotation_validator.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 2 | 2022-03-15T11:28:48.000Z | 2022-03-15T11:28:58.000Z | backend/app/core/annotation_validator.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | null | null | null | from typing import Optional
from shapely.geometry import LineString, LinearRing, Polygon
from app.schemas.polygon_data import AnnotationData, AnnotationType
from app.utils.logger import logger
class AnnotationValidator:
@staticmethod
def check_if_annotation_is_valid(annotation_data: AnnotationData... | 35.230769 | 89 | 0.707424 |
789cb480bf683bec6b6ae060fd68e33fd9dd0731 | 379 | py | Python | 2133-check-if-every-row-and-column-contains-all-numbers/2133-check-if-every-row-and-column-contains-all-numbers.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 2133-check-if-every-row-and-column-contains-all-numbers/2133-check-if-every-row-and-column-contains-all-numbers.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 2133-check-if-every-row-and-column-contains-all-numbers/2133-check-if-every-row-and-column-contains-all-numbers.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def checkValid(self, matrix: List[List[int]]) -> bool:
n = [num+1 for num in range(len(matrix))]
length = len(matrix)
for i in range(length):
col = [matrix[j][i] for j in range(length)]
for num in n:
if num not in matrix[i] or num not i... | 37.9 | 58 | 0.522427 |
ecaff58d2099657fd78711591c06e7be53f3d0eb | 120 | py | Python | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-007/pg-7.9-funciton-dufault-farameter-a2.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-007/pg-7.9-funciton-dufault-farameter-a2.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-007/pg-7.9-funciton-dufault-farameter-a2.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | def myfnc(x, y=10, z=0):
print("x =", x, "y=", y, "z =", z)
x = 5
y = 6
z = 7
myfnc(x, y, z)
myfnc(x, y)
myfnc(x)
| 10.909091 | 38 | 0.433333 |
ecbfdca1a1d56196e84bf0bd46f85ea51f80f111 | 138 | py | Python | robolib/util/model_uuid.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 2 | 2017-11-30T21:12:11.000Z | 2017-12-01T07:52:43.000Z | robolib/util/model_uuid.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 14 | 2017-11-14T18:12:53.000Z | 2018-06-03T16:07:57.000Z | robolib/util/model_uuid.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 3 | 2018-02-05T10:40:03.000Z | 2018-02-09T09:29:19.000Z | import time
def get_model_identifier(epochs: int):
t = int(time.time())
t *= 1000
t += int(epochs/100) % 10000
return t
| 15.333333 | 38 | 0.608696 |
01b70907ded21213dbcf9dacc7f39794b50ca9a2 | 6,272 | py | Python | src/doc/functions_to_plain_py.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/doc/functions_to_plain_py.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/doc/functions_to_plain_py.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | #!/usr/bin/env python
#
# file: functions_to_plain_py.py
# author: cyrush (but most code taken from functions_to_method_doc.py)
#
import sys
##############################################################################
# This is a hacked up version of functions_to_method_doc.py
# it creates a single output file:
# ... | 29.037037 | 117 | 0.537946 |
da812b7496eaccf1c4c20430716dd81db4b03df0 | 570 | py | Python | api/wsgi/src/devices/bpm/views.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 2 | 2020-06-08T19:17:10.000Z | 2020-06-08T20:45:07.000Z | api/wsgi/src/devices/bpm/views.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 14 | 2015-10-07T09:31:50.000Z | 2022-02-23T07:34:10.000Z | api/wsgi/src/devices/bpm/views.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | null | null | null | from devices.bpm.filters import ProductFilter
from devices.bpm.models import Bpm
from devices.bpm.serializers import BpmSerializer
from rest_framework import filters
from rest_framework import generics
from rest_framework import permissions
class BpmHistoryView(generics.ListCreateAPIView):
serializer_class = BpmS... | 35.625 | 74 | 0.807018 |
e501c2f518a52c4e5b250a141fcaecdb6396e49e | 310 | py | Python | Licence 1/I11/TP2/tp2_7_1.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I11/TP2/tp2_7_1.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I11/TP2/tp2_7_1.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | value = int(input("Entrer un entier: "))
sqrt_value = int(value ** .5)
dividers_sum = 1
for i in range(2, sqrt_value + 1):
if value % i == 0:
dividers_sum += i + value // i
if dividers_sum == value:
print(value, "est un nombre parfait")
else:
print(value, "n'est pas un nombre parfait")
| 22.142857 | 47 | 0.622581 |
dace021a4f4bfb3ebb2ba2566aa790b704371d83 | 2,143 | py | Python | research/cv/tsn/eval_scores.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/tsn/eval_scores.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/tsn/eval_scores.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... | 38.963636 | 84 | 0.716286 |
c145c08b598c07c952db53044f9e00efe06166bd | 1,278 | py | Python | INBa/2014/Mamedov_R_A/Mamedov 6_12_1.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2014/Mamedov_R_A/Mamedov 6_12_1.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2014/Mamedov_R_A/Mamedov 6_12_1.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 6, Вариант 12
# Создайте игру, в которой компьютер загадывает название одного из восьми соборов Московского кремля, а игрок должен его угадать.
# Мамедов Р.А.
# 30.03.2016
import random
print("Отгадайте название одного из соборов Московского кремля")
print("У вас три попытки")
sobor = int(input("Введите чис... | 27.782609 | 129 | 0.664319 |
c15957459fedde081adf6aee2cf58f7b5ab77079 | 59 | py | Python | n.py | aravindstriker6/Ipl-Score-Predictor | 717598dfc2b302c452c1a5c496539108b808ac06 | [
"MIT"
] | null | null | null | n.py | aravindstriker6/Ipl-Score-Predictor | 717598dfc2b302c452c1a5c496539108b808ac06 | [
"MIT"
] | null | null | null | n.py | aravindstriker6/Ipl-Score-Predictor | 717598dfc2b302c452c1a5c496539108b808ac06 | [
"MIT"
] | null | null | null | a=[0,0,0]
a[1]=2
a.extend([0,0])
a.extend([1])
print(a) | 11.8 | 16 | 0.508475 |
99d6dff2a7303ac770ad51995b1fe5072d414039 | 342 | py | Python | src/system_cpu_temp.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | src/system_cpu_temp.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | src/system_cpu_temp.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | #!/usr/bin/python
"""
system_cpu_temp - get cpu temperature
This file is part of ztc, http://bitbucket.org/rvs/ztc/
Licensed under GPL v.3
Copyright (c) 2010 Vladimir Rusinov <vladimir@greenmice.info>
Copyright (c) 2011 Wrike, Inc. [http://www.wrike.com]
"""
from ztc.hw.cpu import CPUTemperature
c = CPUTemperature()... | 22.8 | 61 | 0.736842 |
99d7f3cf454a527d08b6aa1e53b305a6db354ded | 759 | py | Python | SoftUni-Projects/cookbook/recipe/views.py | dechevh/SoftwareUniversity | 8be1c0c096cf385a84093265a31767afd4454476 | [
"MIT"
] | null | null | null | SoftUni-Projects/cookbook/recipe/views.py | dechevh/SoftwareUniversity | 8be1c0c096cf385a84093265a31767afd4454476 | [
"MIT"
] | null | null | null | SoftUni-Projects/cookbook/recipe/views.py | dechevh/SoftwareUniversity | 8be1c0c096cf385a84093265a31767afd4454476 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from .models import Recipe
from .forms import RecipeForm
def list_recipes(request):
recipes = Recipe.objects.all()
if request.method == 'POST':
form = RecipeForm(request.POST)
if form.is_valid():
form.save()
else:
form = Rec... | 24.483871 | 56 | 0.645586 |
415ea4de01a5ad9eabb3ec91b40cf848304744e6 | 1,763 | py | Python | ColoredTextInPython-main/main.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | ColoredTextInPython-main/main.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | ColoredTextInPython-main/main.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 colorama
from colorama import Fore, Back, Style
colorama.init(autoreset=True)
print('\033[31m' + 'some red text')
print('\033[39m') # and reset to default color
print()
print(f"{Fore.RED}C{Fore.GREEN}O{Fore.YELLOW}L{Fore.BLUE}O{Fore.MAGENTA}R{Fore.CYAN}S{Fore.WHITE}!")
print(f"{Fore.RED}Red Text")
pri... | 43 | 220 | 0.71696 |
2b653af6f50af13968f9eadad6fc2ffdf023f513 | 219 | py | Python | tests/utils.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 126 | 2019-09-16T15:28:20.000Z | 2022-03-20T10:57:53.000Z | tests/utils.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 54 | 2019-09-30T08:44:01.000Z | 2022-03-20T11:10:00.000Z | tests/utils.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 11 | 2020-01-02T08:32:46.000Z | 2022-03-20T11:10:24.000Z | import sys
from contextlib import contextmanager
@contextmanager
def recursion_limit(n):
recursion_limit = sys.getrecursionlimit()
sys.setrecursionlimit(n)
yield
sys.setrecursionlimit(recursion_limit)
| 19.909091 | 45 | 0.785388 |
9936d4141b5d26ed50a32d946fb3d9c4be3d7c3d | 830 | py | Python | rospy_misc/scripts/list_failing_subscription.py | eduidl/ros-misc | feda8f6890ff12b64fb11555babe43581ca972b4 | [
"Apache-2.0"
] | 2 | 2021-09-10T06:56:51.000Z | 2021-09-10T06:57:02.000Z | rospy_misc/scripts/list_failing_subscription.py | eduidl/ros-misc | feda8f6890ff12b64fb11555babe43581ca972b4 | [
"Apache-2.0"
] | null | null | null | rospy_misc/scripts/list_failing_subscription.py | eduidl/ros-misc | feda8f6890ff12b64fb11555babe43581ca972b4 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from collections import defaultdict
import rosgraph
def topic_type(t, pub_topics):
matches = [t_type for t_name, t_type in pub_topics if t_name == t]
if matches:
return matches[0]
return None
def main():
master = rosgraph.Master('/rosnode')
state = ... | 23.055556 | 79 | 0.624096 |
5c60839dd4fcfdec98115d15521f0eba1acc4d2d | 613 | py | Python | agents/nets/fc.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | 2 | 2021-01-07T01:10:49.000Z | 2022-01-21T09:37:16.000Z | agents/nets/fc.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | agents/nets/fc.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | from tensorflow.keras import Model
from tensorflow.keras.layers import Dense, Input
class FCNet(Model):
def __init__(self, output_dim=3):
"""
Args:
output_dim: 网络需要三个输出，对应3个动作的累积回报
"""
super(FCNet, self).__init__()
self.d1 = Dense(8, activation='relu')
... | 24.52 | 54 | 0.559543 |
5cd8ce9448b3783e55597d4ecb009edda887bb82 | 833 | py | Python | sca/objectO/MainMetrics.py | NazaninBayati/SCA | 74e670462dd0da5e24147aab86df393b38405176 | [
"MIT"
] | null | null | null | sca/objectO/MainMetrics.py | NazaninBayati/SCA | 74e670462dd0da5e24147aab86df393b38405176 | [
"MIT"
] | null | null | null | sca/objectO/MainMetrics.py | NazaninBayati/SCA | 74e670462dd0da5e24147aab86df393b38405176 | [
"MIT"
] | null | null | null | import understand
import sys
class Metrics:
def __int__(self,db):
self.db = db
def DBlodb(args):
db = understand.open(str(args))
return db
def metric_val(self,file):
self.file = file
file_metric = []
metrics = self.file.metric(self.file.metrics())
... | 23.138889 | 72 | 0.531813 |
7a6668b107c359507231a77654f9869f952c9240 | 5,110 | py | Python | project/views/reference_request.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | project/views/reference_request.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | project/views/reference_request.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | from flask import abort, flash, redirect, render_template, url_for
from flask_babelex import gettext
from flask_security import auth_required
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.sql import desc
from project import app, db
from project.access import (
can_request_event_reference,
get_admi... | 32.547771 | 120 | 0.700783 |
8f3dc29c7a5cecb434f6c086c735bc6d4f934523 | 873 | py | Python | deutschland/nina/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | deutschland/nina/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | deutschland/nina/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
"""
Bundesamt für Bevölkerungsschutz: NINA API
Erhalten Sie wichtige Warnmeldungen des Bevölkerungsschutzes für Gefahrenlagen wie zum Beispiel Gefahrstoffausbreitung oder Unwetter per Programmierschnittstelle. # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https... | 31.178571 | 180 | 0.824742 |
56b5e0f1db14ede585d808eb02c1a5cce3c6fd91 | 211 | py | Python | site/public/courses/CS-1.1/Examples/ControlFlowExamples/print_vs_return.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | 1 | 2021-08-24T20:22:19.000Z | 2021-08-24T20:22:19.000Z | site/public/courses/CS-1.1/Examples/ControlFlowExamples/print_vs_return.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | site/public/courses/CS-1.1/Examples/ControlFlowExamples/print_vs_return.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null |
def say_hello():
return "Hello!"
def add(x, y):
return x + y
say_hello()
a = 3
b = 5
add(a, b) # This doesn't print anything
result = add(a, b)
print(result) # This prints the result | 13.1875 | 40 | 0.57346 |
d920570aeeaa2d4c7d6fee0f179ecc320446f44b | 443 | py | Python | Packs/NCSCCyberAsssessmentFramework/Scripts/NCSCFieldProtection/NCSCFieldProtection.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/NCSCCyberAsssessmentFramework/Scripts/NCSCFieldProtection/NCSCFieldProtection.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/NCSCCyberAsssessmentFramework/Scripts/NCSCFieldProtection/NCSCFieldProtection.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
args = demisto.args()
cliName = args.get("cliName")
name = args.get("name")
new = args.get("new")
old = args.get("old")
selectValues = args.get("selectValues")
user = args.get("user", {})
user_id = user.get("id", None) if user e... | 31.642857 | 75 | 0.690745 |
79791d6ac89dd667f71a6881cad01a140e2f49be | 150 | py | Python | src/entity/__init__.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | src/entity/__init__.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | src/entity/__init__.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | from type import APV
from utils.io.XLoader import get_rainy_days
__all__ = [
"apv_mapper",
]
apv_mapper: APV = []
rainy_days = get_rainy_days()
| 15 | 43 | 0.726667 |
ba56f098ec30042502da18d898e2c033c1a4a341 | 5,061 | py | Python | official/nlp/lstm/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/lstm/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/lstm/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # coding = utf-8
"""
Copyright 2021 Huawei Technologies Co., Ltd
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 or agreed ... | 44.787611 | 120 | 0.643944 |
ebf08825738000e48f44f10c43508ab35a9a2e22 | 146 | py | Python | run.py | schmocker/pv-FHNW | 5066e0bc7ce76be5d1a930b50034c746b232a9f8 | [
"MIT"
] | 1 | 2019-10-31T13:34:12.000Z | 2019-10-31T13:34:12.000Z | run.py | schmocker/pv-FHNW | 5066e0bc7ce76be5d1a930b50034c746b232a9f8 | [
"MIT"
] | 1 | 2019-05-27T13:03:25.000Z | 2019-05-27T13:03:25.000Z | run.py | schmocker/pv-FHNW | 5066e0bc7ce76be5d1a930b50034c746b232a9f8 | [
"MIT"
] | null | null | null | from pvtool import create_app, Config
if __name__ == "__main__":
app = create_app(Config)
app.run(host='0.0.0.0', port=5000, debug=True)
| 24.333333 | 50 | 0.684932 |
d1848faff779d6ef0739f0341d2cdec839ebb162 | 811 | py | Python | pcbV10/hide_references_show_values.py | klaus-liebler/labathome | 15c91238e32a123f4bd6af4a9cde80d0a91aa5d7 | [
"MIT"
] | 2 | 2022-02-07T14:25:52.000Z | 2022-02-16T17:57:51.000Z | pcbV10/hide_references_show_values.py | klaus-liebler/labathome | 15c91238e32a123f4bd6af4a9cde80d0a91aa5d7 | [
"MIT"
] | 7 | 2020-09-26T14:00:31.000Z | 2022-01-01T10:53:17.000Z | pcbV10/hide_references_show_values.py | klaus-liebler/labathome | 15c91238e32a123f4bd6af4a9cde80d0a91aa5d7 | [
"MIT"
] | null | null | null | import glob
import os
source = glob.glob("*.kicad_pcb")[0]
source_renamed=source+"-bak_move";
sourceHandle=open(source, mode="r")
sourceLines = sourceHandle.read().splitlines()
sourceHandle.close()
targetLines=[]
for line in sourceLines:
if(line.find("fp_text reference")!=-1 and line.find("hide")==-1):
li... | 28.964286 | 69 | 0.668311 |
d18a3f6aa55fe482be0cb7cbcf319a740cfc355f | 247 | py | Python | MyTimeMaschine/urls.py | Murphy-KS/MyTimeMashine | a1cd5b17b239a556b1d234aace9b333f71ec2045 | [
"MIT"
] | null | null | null | MyTimeMaschine/urls.py | Murphy-KS/MyTimeMashine | a1cd5b17b239a556b1d234aace9b333f71ec2045 | [
"MIT"
] | null | null | null | MyTimeMaschine/urls.py | Murphy-KS/MyTimeMashine | a1cd5b17b239a556b1d234aace9b333f71ec2045 | [
"MIT"
] | null | null | null | """
MyTimeMaschine URL Configuration
"""
from django.contrib import admin
from django.urls import path, include
from timerecorder import urls as time_app
urlpatterns = [
path('admin/', admin.site.urls),
path('', include(time_app)),
]
| 15.4375 | 41 | 0.716599 |
ae1c5fb423ef7ffd1e8604550f505fefc0ffaf65 | 941 | py | Python | zugdaten/summaries/visualize_summaries.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 29 | 2020-03-21T00:47:51.000Z | 2021-07-17T15:50:33.000Z | zugdaten/summaries/visualize_summaries.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 7 | 2020-03-21T14:04:26.000Z | 2022-03-02T08:05:40.000Z | zugdaten/summaries/visualize_summaries.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 13 | 2020-03-21T01:08:08.000Z | 2020-04-08T17:21:11.000Z | from matplotlib import pyplot as plt
import os
import pandas as pd
from datetime import datetime
os.chdir(os.path.dirname(__file__))
dir, folders, files = next(os.walk("data"))
master = pd.DataFrame()
for f in folders:
print(f)
path = os.path.join(dir, f, f + ".json")
df = pd.read_json(path)
df = df.reset_ind... | 27.676471 | 77 | 0.688629 |
c9b66a8180c439e1e0efaf13fb178c6ecb095b8d | 3,616 | py | Python | Python/Programação_em_Python_Essencial/6- Funções/funcoes_com_parametro_padrao.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Programação_em_Python_Essencial/6- Funções/funcoes_com_parametro_padrao.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Programação_em_Python_Essencial/6- Funções/funcoes_com_parametro_padrao.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | """
Funções com Parâmetro Padrão (Default Paramters)
- Funções onde a passagem de parâmetro seja opcional;
# Exemplo de função onde a passagem de parâmetro seja opcional
print('Geek University')
print()
# Exemplo de função onde a passagem de parâmetro seja obrigatória
def quadrado(numero):
return numero ** 2
... | 19.234043 | 125 | 0.727046 |
093ae87a37a543fb8bcb325ee73ac36771c1cd6c | 2,680 | py | Python | src/binarySearch.py | ianxin/algorithm | 22214b6c81bee926f5a1c74c9417b2e7edd3ceed | [
"MIT"
] | 2 | 2018-03-13T08:59:14.000Z | 2018-03-13T08:59:25.000Z | src/binarySearch.py | ianxin/Algorithm | 22214b6c81bee926f5a1c74c9417b2e7edd3ceed | [
"MIT"
] | null | null | null | src/binarySearch.py | ianxin/Algorithm | 22214b6c81bee926f5a1c74c9417b2e7edd3ceed | [
"MIT"
] | null | null | null | '''
经典二分法
适用于没有重复元素的有序数组
'''
def binarySearch(nums,target):
if len(nums) == 0:
return -1
start = 0
end = len(nums)-1
while start+1 < end:
mid = (start+end)>>1
if nums[mid]>target:
end = mid
elif nums[mid]<target:
start = mid
else:
... | 21.967213 | 87 | 0.529478 |
6da188464d490fe9cb01b1aa467936c288c89293 | 472 | py | Python | skripte/validate.py | Ilaris-Tools/IlarisDB | 9608afa0ebc69c2bbc13af939cb2c71321f5da37 | [
"MIT"
] | null | null | null | skripte/validate.py | Ilaris-Tools/IlarisDB | 9608afa0ebc69c2bbc13af939cb2c71321f5da37 | [
"MIT"
] | 4 | 2022-03-13T22:56:35.000Z | 2022-03-16T11:33:27.000Z | skripte/validate.py | Ilaris-dev/IlarisDB | 9608afa0ebc69c2bbc13af939cb2c71321f5da37 | [
"MIT"
] | null | null | null | import yamale
import sys
import interface as db
table = "kreaturen"
schemaf = "kreaturen"
if len(sys.argv) > 1:
table = sys.argv[1]
if len(sys.argv) > 2:
schemaf = sys.argv[2]
db.validate(table, schemaf=schemaf)
# print(f"Prüfe {len(data[0][0].keys())} Kreaturen:")
# schema = yamale.make_schema('../schemata/... | 24.842105 | 58 | 0.684322 |
09fd78c8fb7793eeab43274f2ee8549f0e92762c | 10,170 | py | Python | etl/data_extraction/scraper.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 7 | 2020-04-23T20:16:11.000Z | 2022-01-04T14:57:16.000Z | etl/data_extraction/scraper.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 361 | 2020-04-23T17:20:14.000Z | 2022-03-02T11:29:45.000Z | etl/data_extraction/scraper.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 1 | 2021-11-29T06:02:52.000Z | 2021-11-29T06:02:52.000Z | import os
import sys
import time
import requests
from lxml.html.clean import Cleaner
from bs4 import BeautifulSoup
from tqdm import tqdm
from shared.utils import append_data_to_json, write_data_to_json
from shared.logger_factory import LoggerFactory
from shared.stats_collector import StatsCollector
ROOT_DIR = os.pat... | 38.669202 | 151 | 0.619567 |
28a794b84cffed658d6c69a4014f985c141fd71f | 959 | py | Python | pelicanconf.py | calebwatt15/wattinfosec.com | 26321f66ace9456cce5d894981a2fef45c7bb610 | [
"Apache-2.0"
] | null | null | null | pelicanconf.py | calebwatt15/wattinfosec.com | 26321f66ace9456cce5d894981a2fef45c7bb610 | [
"Apache-2.0"
] | 7 | 2015-09-26T22:24:41.000Z | 2015-12-14T19:50:37.000Z | pelicanconf.py | calebwatt15/wattinfosec.com | 26321f66ace9456cce5d894981a2fef45c7bb610 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals
AUTHOR = u'Caleb'
SITENAME = u'WattInfoSec'
SITEURL = 'https://wattinfosec.com'
STATIC_PATHS = ['images']
PATH = 'content'
TIMEZONE = 'America/Chicago'
DEFAULT_LANG = u'en'
# Feed generation is usually not desired when developi... | 24.589744 | 77 | 0.685089 |
c94593d9d74171c70b20b29837cdaa005496b45c | 1,523 | py | Python | backend/fakebox/models/game.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | backend/fakebox/models/game.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | backend/fakebox/models/game.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | import random
import string
from enum import IntEnum
from models.player import Player
class State(IntEnum):
INACTIVE = 0
AWAITING_VIP = 1
AWAITING_PLAYERS = 2
ACTIVE = 3
class GameException(RuntimeError):
pass
class Game:
def __init__(self):
self.player_count = 0
self.code... | 22.072464 | 78 | 0.630991 |
6e9ed849c7afa04181fb0e78cdad2cd2baafaf01 | 1,019 | py | Python | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOcoordinates.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 3 | 2019-06-18T15:28:09.000Z | 2019-07-11T07:31:45.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOcoordinates.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 2 | 2019-07-11T14:03:25.000Z | 2021-02-08T16:14:04.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOcoordinates.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 1 | 2019-06-12T11:07:37.000Z | 2019-06-12T11:07:37.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from PyQt5.QtWidgets import QDockWidget
from .gto_coordinate import GTOCoordinatesDockWidget
class run(object):
def __init__(self, id, gtoTool, config, debug):
super(run, self).__init__()
try:
# references
self.result = None
... | 36.392857 | 107 | 0.609421 |
6eea3bce42baa722c29e1e6d9741c8879a8a14a4 | 1,790 | py | Python | ingress/ambassador/end-to-end/grpc-service/server.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 63 | 2018-02-04T03:31:22.000Z | 2022-03-07T08:27:39.000Z | ingress/ambassador/end-to-end/grpc-service/server.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 3 | 2021-03-26T00:22:50.000Z | 2021-03-26T00:26:07.000Z | ingress/ambassador/end-to-end/grpc-service/server.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 40 | 2018-01-22T16:31:16.000Z | 2022-03-08T04:40:42.000Z | #!/usr/bin/env python
# Copyright 2018 Datawire. 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 b... | 29.344262 | 117 | 0.746369 |
2854f14e8505f6de65e7019d82acee1fec94717f | 750 | py | Python | HW2/ssift_descriptor.py | kvswim/kv_jhu_cv | 2ddf7a9d497aef116a7c043157b8631cea45000d | [
"MIT"
] | null | null | null | HW2/ssift_descriptor.py | kvswim/kv_jhu_cv | 2ddf7a9d497aef116a7c043157b8631cea45000d | [
"MIT"
] | null | null | null | HW2/ssift_descriptor.py | kvswim/kv_jhu_cv | 2ddf7a9d497aef116a7c043157b8631cea45000d | [
"MIT"
] | null | null | null | import cv2
import numpy
import matplotlib.pyplot as plt
def ssift_descriptor(feature_coords,image):
"""
DO NOT DO - not required for 461
Computer Vision 600.461/661 Assignment 2
Args:
feature_coords (list of tuples): list of (row,col) tuple feature coordinates from image
image (numpy.nd... | 37.5 | 128 | 0.654667 |
95d4395d70e682a25d8bd10c57ef68e3570a8436 | 27,425 | py | Python | dark.py | DARKFARID13/darkfbv3 | c0c87ad70bc7b1c6d8ab5fbd72e673abcaf6d167 | [
"MIT"
] | null | null | null | dark.py | DARKFARID13/darkfbv3 | c0c87ad70bc7b1c6d8ab5fbd72e673abcaf6d167 | [
"MIT"
] | null | null | null | dark.py | DARKFARID13/darkfbv3 | c0c87ad70bc7b1c6d8ab5fbd72e673abcaf6d167 | [
"MIT"
] | 4 | 2019-09-13T12:44:21.000Z | 2021-08-16T18:12:27.000Z | import marshal,zlib,base64
exec(marshal.loads(zlib.decompress(base64.b64decode("eJztvXl0Hcl1H1z9FgDvYd8JgkuDHJLgzGDfCM6AHO6khgTpB3IwwzEFN9ANoIG38XWDBEagJXvmfLFkxVpsaWJZSuRIliPbcfxZtiNZdpzY+SOxEtuK5SVSnMhz7JPkxDpJ5NjHjuNM7r1V1ct7/RaABElJ5FKvurv2rr73d2/durXAxJ8o/H8B/luXIozp8E9hScZuOnGF3VRkPMRuhmQ8zG6GZTzCbkZkPMpuRmW8it2s... | 13,712.5 | 27,398 | 0.967876 |
95eb21d27fe2e46c2c21b486fe677a6e3ae7728b | 530 | py | Python | packages/watchmen-model/src/watchmen_model/admin/user.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/admin/user.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/admin/user.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from enum import Enum
from typing import List
from pydantic import BaseModel
from watchmen_model.common import OptimisticLock, TenantBasedTuple, UserGroupId, UserId
class UserRole(str, Enum):
CONSOLE = 'console',
ADMIN = 'admin',
# noinspection SpellCheckingInspection
SUPER_ADMIN = 'superadmin'
class User(Ten... | 22.083333 | 87 | 0.766038 |
c2d93470ef3b0042a42c3fe0fc16485cfdded6b0 | 4,839 | py | Python | Calliope-Rennspiel/Python/ki-datenlogger.py | rao003/ki-in-schulen | ec7e69da6d728ce6480711b45cea0aef7796b14b | [
"MIT"
] | 10 | 2021-05-27T15:08:45.000Z | 2022-03-01T17:21:24.000Z | Calliope-Rennspiel/Python/ki-datenlogger.py | telekom/ki-in-schulen | ec7e69da6d728ce6480711b45cea0aef7796b14b | [
"MIT"
] | null | null | null | Calliope-Rennspiel/Python/ki-datenlogger.py | telekom/ki-in-schulen | ec7e69da6d728ce6480711b45cea0aef7796b14b | [
"MIT"
] | 3 | 2021-04-08T12:44:30.000Z | 2021-06-21T08:20:59.000Z | #
# ki-datenlogger.py$
#
# (C) 2020, Christian A. Schiller, Deutsche Telekom AG
#
# Deutsche Telekom AG and all other contributors /
# copyright owners license this file to you under the
# MIT License (the "License"); you may not use this
# file except in compliance with the License.
# You may obtain a copy of the Lice... | 38.102362 | 113 | 0.716884 |
6c352abd0746db4aacc20aad40f2f4bb00cce728 | 5,754 | py | Python | Packs/Kenna/Integrations/KennaV2/Tests_Data/ExpectedResult.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Kenna/Integrations/KennaV2/Tests_Data/ExpectedResult.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Kenna/Integrations/KennaV2/Tests_Data/ExpectedResult.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | VULNERABILITIES_SEARCH_EXPECTED = {
'Kenna.Vulnerabilities(val.ID === obj.ID)': [{
"AssetID": 1,
"Connectors": [
{
"DefinitionName": "Kenna",
"ID": 1,
"Name": "Kenna",
"Vendor": "Kenna"
},
{
... | 33.649123 | 81 | 0.34098 |
66701382a94d9c172c2ab27eac1776f8d700e65f | 14,122 | py | Python | lab2/algorithms.py | B0mM3L6000/CI | 3b55ef8e6017a596e7b22e20a16ca7659bc73204 | [
"MIT"
] | 1 | 2018-04-18T19:55:42.000Z | 2018-04-18T19:55:42.000Z | lab2/algorithms.py | B0mM3L6000/CI | 3b55ef8e6017a596e7b22e20a16ca7659bc73204 | [
"MIT"
] | null | null | null | lab2/algorithms.py | B0mM3L6000/CI | 3b55ef8e6017a596e7b22e20a16ca7659bc73204 | [
"MIT"
] | null | null | null | from collections import deque
from city import distance, GeoCity, Euc_2D, GeoCoord
from tspparse import read_tsp_file
from numpy import array
import time
import numpy as np
import random
import sys
def calc_distance(tsp, city1_index, city2_index):
"""Calculate distance between cities by their (one-based) indices""... | 34.697789 | 122 | 0.645305 |
dd7adc98ced04036aa32ed8efbc56c7572ea996b | 295 | py | Python | packages/watchmen-rest/src/watchmen_rest/prometheus.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest/src/watchmen_rest/prometheus.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest/src/watchmen_rest/prometheus.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from .settings import RestSettings
def install_prometheus(app: FastAPI, settings: RestSettings) -> None:
from starlette_prometheus import metrics, PrometheusMiddleware
app.add_middleware(PrometheusMiddleware)
app.add_route(settings.PROMETHEUS_CONTEXT, metrics)
| 29.5 | 69 | 0.840678 |
664412ef2744e4283738375d3bb8c296043f7c71 | 2,261 | py | Python | 2019/beginners/crypto-caulingo/solution.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | 2019/beginners/crypto-caulingo/solution.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | 2019/beginners/crypto-caulingo/solution.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | #!/usr/bin/env python3
# Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 57.974359 | 626 | 0.830164 |
9ff35063fd9c5086dbb2347a523380808aebdcfd | 3,440 | py | Python | yolov5-coreml-tflite-converter/tflite/tf_metadata/metadata_writer.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | yolov5-coreml-tflite-converter/tflite/tf_metadata/metadata_writer.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | yolov5-coreml-tflite-converter/tflite/tf_metadata/metadata_writer.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | import shutil
import tempfile
from pathlib import Path
from tflite_support import flatbuffers
from tflite_support import metadata as _metadata
from tflite_support import metadata_schema_py_generated as _metadata_fb
from constants import FULLINT8, LABELS_NAME
from tf_metadata.input_metadata_writer import InputMetadata... | 39.54023 | 117 | 0.674419 |
af1ac5a7e2452060934d5ddc31c849c5e0395c7c | 929 | py | Python | P8702N/usbService-fileSharing_add.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | P8702N/usbService-fileSharing_add.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | P8702N/usbService-fileSharing_add.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | import requests
import impat
impat.addfolder('python')
from FunCom import find_between
from session import login, host, cookies
if login.status_code == requests.codes.ok and cookies['SESSION'] is not '':
print('=~=~=~=~=~=~=~=~=~=~=~= =~=~=~=~=~=~=~=~=~=~=~=')
f = requests.get('ht... | 46.45 | 120 | 0.584499 |
bbdaa51a80709cadaf0421f1ed72bc5185643287 | 1,500 | py | Python | analysis/plot_map.py | MeteorologieHautnah/MeteorologieHautnah | 1607c25b85753f31faccfd279abd503b83c1f4ea | [
"MIT"
] | 1 | 2022-02-17T08:24:13.000Z | 2022-02-17T08:24:13.000Z | analysis/plot_map.py | MeteorologieHautnah/MeteorologieHautnah | 1607c25b85753f31faccfd279abd503b83c1f4ea | [
"MIT"
] | null | null | null | analysis/plot_map.py | MeteorologieHautnah/MeteorologieHautnah | 1607c25b85753f31faccfd279abd503b83c1f4ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Plot a map of the given input
*author*: Johannes Röttenbacher
"""
# %% import modules
import os
import pandas as pd
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.io.img_tiles as cimgt
# %% define paths
data_path = "C:/Users/Johannes/Documents/MeteorologieHautnah/M... | 34.883721 | 109 | 0.706667 |
3c90ee5984b65a0bede8f241194ff22a19ed8ade | 157 | py | Python | lbry/lbry/cryptoutils.py | mittalkartik2000/lbry-sdk | a07b17ec0c9c5d0a88bc730caf6ab955e0971b38 | [
"MIT"
] | null | null | null | lbry/lbry/cryptoutils.py | mittalkartik2000/lbry-sdk | a07b17ec0c9c5d0a88bc730caf6ab955e0971b38 | [
"MIT"
] | 4 | 2020-10-27T21:53:05.000Z | 2022-02-11T03:10:54.000Z | lbry/lbry/cryptoutils.py | braveheart12/lbry-sdk | dc709b468f9dce60d206161785def5c7ace2b763 | [
"MIT"
] | null | null | null | import hashlib
from cryptography.hazmat.backends import default_backend
backend = default_backend()
def get_lbry_hash_obj():
return hashlib.sha384()
| 15.7 | 56 | 0.796178 |
59eaea8559450fa752cb7c5487e479b93a8dcc74 | 1,473 | py | Python | quick.py | andrevictor17/aulasRenzoEd | 931d73f5d20e7a3c837f175131bf3a271c7f375f | [
"MIT"
] | null | null | null | quick.py | andrevictor17/aulasRenzoEd | 931d73f5d20e7a3c837f175131bf3a271c7f375f | [
"MIT"
] | null | null | null | quick.py | andrevictor17/aulasRenzoEd | 931d73f5d20e7a3c837f175131bf3a271c7f375f | [
"MIT"
] | null | null | null | import unittest
def quick_sort(seq):
def sort(inicio, final):
if inicio >= final:
return seq
i_esquerda = inicio + 1
i_direita = inicio + 1
pivot = seq[inicio]
while i_direita <= final:
if seq[i_direita] < pivot:
temp = seq[i_esquerda]... | 30.6875 | 116 | 0.570265 |
2806a5ebdc83f4d4f81f32157b8ea29f4cb6cfe8 | 1,310 | py | Python | loesungsvorschlaege/ml_3_kuenstliche_neuronale_netze/praxis/01/marienkaefer_raupen_beispiel.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | loesungsvorschlaege/ml_3_kuenstliche_neuronale_netze/praxis/01/marienkaefer_raupen_beispiel.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | loesungsvorschlaege/ml_3_kuenstliche_neuronale_netze/praxis/01/marienkaefer_raupen_beispiel.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
column_names = ["breite", "hoehe", "class"]
mr_data_set = pd.read_csv("raupen_marienkaefer.csv", names=column_names, header=None)
# Alle Zeilen der ersten beiden Spalten
matrix_X = mr_data_set.iloc[0:20, 0:2].values
# Plot vorbereiten
figure = pl... | 29.111111 | 112 | 0.672519 |
e95004360dea364f5369e1940a127ae2b084f64c | 1,451 | py | Python | forge/lib/utils.py | Pandinosaurus/3d-forge | d631e14a9351911c3e5612c73c1608d97ed547d2 | [
"BSD-3-Clause"
] | 31 | 2015-07-13T15:36:50.000Z | 2022-02-07T21:37:51.000Z | forge/lib/utils.py | Pandinosaurus/3d-forge | d631e14a9351911c3e5612c73c1608d97ed547d2 | [
"BSD-3-Clause"
] | 109 | 2015-04-24T10:03:24.000Z | 2019-04-12T13:34:01.000Z | forge/lib/utils.py | Pandinosaurus/3d-forge | d631e14a9351911c3e5612c73c1608d97ed547d2 | [
"BSD-3-Clause"
] | 16 | 2015-10-03T06:03:22.000Z | 2022-03-31T08:24:37.000Z | # -*- coding: utf-8 -*-
import requests
import cStringIO
from forge.lib.tiler import grid
from forge.lib.helpers import gzipFileObject
from forge.lib.boto_conn import getBucket, writeToS3
def tilePathTemplate(x, y, z):
return '%s/%s/%s.terrain' % (z, x, y)
def loadTileContent(baseURL, key, headers):
url =... | 30.87234 | 67 | 0.614059 |
e97fbb4ea5d7f18856311218e21d971a215d8b11 | 264 | py | Python | monitoring/zabbix/zabbix/container-files-zabbix/config/pyzabbix.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 63 | 2018-02-04T03:31:22.000Z | 2022-03-07T08:27:39.000Z | monitoring/zabbix/zabbix/container-files-zabbix/config/pyzabbix.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 3 | 2020-06-15T03:41:03.000Z | 2020-06-15T03:41:04.000Z | monitoring/zabbix/zabbix/container-files-zabbix/config/pyzabbix.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 40 | 2018-01-22T16:31:16.000Z | 2022-03-08T04:40:42.000Z | from zabbix.api import ZabbixAPI
zapi = ZabbixAPI(url='http://localhost/', user='Admin', password='zabbix')
hosts = zapi.host.getobjects(status=1)
for host in hosts:
print 'Enabling host: %s' % host['name']
zapi.host.update(hostid=host['hostid'],status=0)
| 37.714286 | 74 | 0.708333 |
f997577d1867645bc88c4922379a79b67c7bc805 | 951 | py | Python | surface/qPanel.py | StefanSchmelz/whoGetsTheMillion | 99a42b6a2e99def4faa05787b4869387d7827f86 | [
"MIT"
] | null | null | null | surface/qPanel.py | StefanSchmelz/whoGetsTheMillion | 99a42b6a2e99def4faa05787b4869387d7827f86 | [
"MIT"
] | null | null | null | surface/qPanel.py | StefanSchmelz/whoGetsTheMillion | 99a42b6a2e99def4faa05787b4869387d7827f86 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import tkinter as tk
from surface.editQuestion import QuestionEditFrame
from surface.editAnswer import AnswerFrame
class QuestionEditPanel (tk.Frame):
def __init__(self, parent=None, corr="", ff=""):
tk.Frame.__init__(self, parent)
self.question = QuestionEditFrame(parent)
... | 35.222222 | 57 | 0.619348 |
349c58e76573e16d37d94db6d2147c81f5febad4 | 778 | py | Python | jiuzhang/Nine Chapters/3 Binary Tree & Divide Conquer/py/SearchRangeinBinarySearchTree_rec.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | jiuzhang/Nine Chapters/3 Binary Tree & Divide Conquer/py/SearchRangeinBinarySearchTree_rec.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | jiuzhang/Nine Chapters/3 Binary Tree & Divide Conquer/py/SearchRangeinBinarySearchTree_rec.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | """
Definition of TreeNode:
class TreeNode:
def __init__(self, val):
self.val = val
self.left, self.right = None, None
"""
class Solution:
"""
@param root: The root of the binary search tree.
@param k1 and k2: range k1 to k2.
@return: Return all keys that k1<=key<=k2 in ascending o... | 23.575758 | 65 | 0.569409 |
b5bcc3285f78c277e572b719e601ecaeb8ea2528 | 25,177 | py | Python | rbac/common/protobuf/user_transaction_pb2.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | rbac/common/protobuf/user_transaction_pb2.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | rbac/common/protobuf/user_transaction_pb2.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: user_transaction.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection ... | 41.477759 | 1,983 | 0.736466 |
c0a2573f3972e49e6856e656d41af5a0a3eb4a6c | 21,341 | py | Python | Python/GuiStepscope/tdr.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | Python/GuiStepscope/tdr.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | Python/GuiStepscope/tdr.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | # tdr.py
# ================================================================================
# BOOST SOFTWARE LICENSE
#
# Copyright 2020 BitWise Laboratories Inc.
# Original Author.......Jim Waschura
# Contact...............info@bitwiselabs.com
#
# Permission is hereby granted, free of charge, to any person or organizat... | 43.02621 | 119 | 0.568155 |
c0e47407cf71a86026bec36f3197d2bd83c187a2 | 169 | py | Python | mitglieder/templatetags/mitglieder_extras.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | mitglieder/templatetags/mitglieder_extras.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | mitglieder/templatetags/mitglieder_extras.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django import template
register = template.Library()
@register.filter
def amtszeit_ende_isnull(value):
if value is None:
return True
return False
| 16.9 | 32 | 0.727811 |
8d04f3e6f9bcf086fffab35be798a30da6f3d73a | 1,823 | py | Python | pacman-arch/test/pacman/tap.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tap.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tap.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | # Copyright (c) 2013-2021 Pacman Development Team <pacman-dev@archlinux.org>
#
# 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 2 of the License, or
# (at your option) any lat... | 25.676056 | 77 | 0.641799 |
23c7582829ab12c3406c7f53d649cbd64777b153 | 321 | py | Python | packages/watchmen-rest-doll/src/watchmen_rest_doll/util/crypt.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/util/crypt.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/util/crypt.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from passlib.context import CryptContext
PWD_CONTEXT = CryptContext(schemes=["bcrypt"], deprecated="auto")
def crypt_password(password: str) -> str:
return PWD_CONTEXT.hash(password)
def verify_password(plain_password: str, hashed_password: str) -> bool:
return PWD_CONTEXT.verify(plain_password, hashed_password)... | 26.75 | 71 | 0.794393 |
f1a6da4c50496d3383ac05f3aebcd3e4ac82514c | 257 | py | Python | DataProcess/my_paper/some_plot.py | ZhangQiHang-98/RFID_Scirpt | 0f74087add4cf16e2d201ad4f31cc1abd287db7e | [
"MIT"
] | 3 | 2021-12-24T04:52:03.000Z | 2021-12-27T02:14:49.000Z | DataProcess/my_paper/some_plot.py | ZhangQiHang-98/RFID_Scirpt | 0f74087add4cf16e2d201ad4f31cc1abd287db7e | [
"MIT"
] | null | null | null | DataProcess/my_paper/some_plot.py | ZhangQiHang-98/RFID_Scirpt | 0f74087add4cf16e2d201ad4f31cc1abd287db7e | [
"MIT"
] | null | null | null | # !/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project ：DataProcess
@File ：some_plot.py
@Author ：Zhang Qihang
@Description: 进行一些绘图
@Date ：2021/12/11 16:52
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
| 18.357143 | 31 | 0.645914 |
f1d2c6d3f2352801fe40c68fa6f085a785ee8854 | 605 | py | Python | src/onegov/pay/collections/payment_provider.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/pay/collections/payment_provider.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/pay/collections/payment_provider.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.collection import GenericCollection
from onegov.pay.models import PaymentProvider
class PaymentProviderCollection(GenericCollection):
""" Manages the payment providers. """
@property
def model_class(self):
return PaymentProvider
def as_default(self, provider):
for ot... | 23.269231 | 66 | 0.65124 |
c87fd5fde485e6b2b001a4be151b3c071ca75c78 | 903 | py | Python | models/__init__.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | null | null | null | models/__init__.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | null | null | null | models/__init__.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | 3 | 2017-09-11T08:02:11.000Z | 2020-04-04T08:13:23.000Z | # -*- coding: utf-8 -*-
import hr_employee
import sanction_type
import qual_type
import medical_type
import hr_employee_sanction
import hr_employee_decoration
import hr_employee_decoration_type
import hr_employee_branche
import hr_employee_note
import hr_employee_last_job
import hr_employee_formation_module
import hr_... | 23.153846 | 35 | 0.904762 |
b54a75e24f28a0e9ddc508afa18e062b294ab31f | 7,592 | py | Python | __main__.py | superbe/PizDB | 478e9efb4754364a3ceb48a059ec53f8e54f3cbf | [
"MIT"
] | null | null | null | __main__.py | superbe/PizDB | 478e9efb4754364a3ceb48a059ec53f8e54f3cbf | [
"MIT"
] | null | null | null | __main__.py | superbe/PizDB | 478e9efb4754364a3ceb48a059ec53f8e54f3cbf | [
"MIT"
] | null | null | null | from collections import Counter, deque
from enum import Enum
from datetime import datetime
class TypeCommand(Enum):
BEGIN = 0
SET = 1
GET = 2
UNSET = 3
COUNTS = 4
ROLLBACK = 5
COMMIT = 6
class Arg:
def __init__(self, command_line):
if command_line is None:
raise V... | 32.583691 | 117 | 0.562698 |
93fdf7cc52a530f203b1cdb063aa6bc3f57f3397 | 314 | py | Python | exercises/en/exc_01_08_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/en/exc_01_08_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/en/exc_01_08_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("en_core_web_sm")
text = "It’s official: Apple is the first U.S. public company to reach a $1 trillion market value"
# Process the text
doc = ____
# Iterate over the predicted entities
for ent in ____.____:
# Print the entity text and its label
print(ent.____, ____.____)
| 22.428571 | 98 | 0.72293 |
f576c14cbe8fa08fdba6beea51a88752f4fae49c | 5,098 | py | Python | mortality.py | txtData/mortality2020 | 625a6410e721992aac1b00313c0415e51e9f73ca | [
"Apache-2.0"
] | null | null | null | mortality.py | txtData/mortality2020 | 625a6410e721992aac1b00313c0415e51e9f73ca | [
"Apache-2.0"
] | null | null | null | mortality.py | txtData/mortality2020 | 625a6410e721992aac1b00313c0415e51e9f73ca | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
data_file = 'mortality_germany.xlsx'
months = ['Jan', 'Feb', 'März', 'Apr', 'Mai', 'Jun', 'Jul', 'Aug', 'Sept', 'Okt', 'Nov', 'Dez']
days_per_month = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31] # Ignoring that Feb has 27... | 38.330827 | 140 | 0.619851 |
1979158d53b4ad62a061a2fde3f60a4a47d95373 | 985 | py | Python | IVTp/2014/Shcherbakov_R_A/task_04_22.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTp/2014/Shcherbakov_R_A/task_04_22.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTp/2014/Shcherbakov_R_A/task_04_22.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 4. Вариант 22.
# Напишите программу, которая выводит имя, под которым скрывается Самюэл
# Ленгхорн Клеменс. Дополнительно необходимо вывести область интересов
# указанной личности, место рождения, годы рождения и смерти (если человек
# умер), вычислить возраст на данный момент (или момент смерти). Для хранения... | 41.041667 | 94 | 0.784772 |
198cad06586f9684e306fb129bfcd08da1dccb71 | 1,310 | py | Python | source/pkgsrc/lang/python27/patches/patch-Lib_lib2to3_pgen2_driver.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/lang/python38/patches/patch-Lib_lib2to3_pgen2_driver.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/lang/python38/patches/patch-Lib_lib2to3_pgen2_driver.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-Lib_lib2to3_pgen2_driver.py,v 1.2 2020/08/15 12:35:57 schmonz Exp $
On systems where both of the conditions
1. LD_LIBRARY_PATH does _not_ take precedence over DT_RPATH
(e.g. Linux)
2. A previous libpython with the same major.minor is already installed
(e.g. a previous version of this package)
ho... | 39.69697 | 82 | 0.735115 |
5fecae1253ddcf44601e4bc9d982f7f20718dc4f | 130 | py | Python | 1374-generate-a-string-with-characters-that-have-odd-counts/1374-generate-a-string-with-characters-that-have-odd-counts.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 1374-generate-a-string-with-characters-that-have-odd-counts/1374-generate-a-string-with-characters-that-have-odd-counts.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 1374-generate-a-string-with-characters-that-have-odd-counts/1374-generate-a-string-with-characters-that-have-odd-counts.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def generateTheString(self, n: int) -> str:
return "a"+"b"*(n-1) if n==1 or n%2==0 else "ab"+"c"*(n-2) | 43.333333 | 66 | 0.553846 |
8b8fe52982940dfe35d96f2a164d7b78f4896ce2 | 1,925 | py | Python | parallel_processing/dask_vs_multiprocessing.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | null | null | null | parallel_processing/dask_vs_multiprocessing.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-02-11T23:44:52.000Z | 2021-02-11T23:44:52.000Z | parallel_processing/dask_vs_multiprocessing.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-12-16T01:02:23.000Z | 2021-12-16T01:02:23.000Z | """
Make http requests in parallel using multiprocessing and dask
Which API is nicer
Timing each suggests that dask/multiprocessing, as expected, speed up the requests by running in parallel.
It might be preferrable to run in an asychronos manner instead of parallel processing.
"""
import multiprocessing
import tim... | 25.328947 | 121 | 0.682078 |
9a1f32e767ad8f894c267a17c30384a0be82a547 | 2,628 | py | Python | research/cv/FaceAttribute/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/FaceAttribute/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/FaceAttribute/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... | 43.081967 | 115 | 0.685693 |
d080d1e51ebf4c2efcb52bcc77639338c4f52626 | 1,200 | py | Python | CodeStatistics/files/f9ff7d3f-a592-42bb-9547-93349682f7ff/django_ajax/django_ajax/urls.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | CodeStatistics/files/f9ff7d3f-a592-42bb-9547-93349682f7ff/django_ajax/django_ajax/urls.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | CodeStatistics/files/f9ff7d3f-a592-42bb-9547-93349682f7ff/django_ajax/django_ajax/urls.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | """django_ajax URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | 37.5 | 77 | 0.7 |
ef75477aa72d4227f0733f9e2fc81b4022db73ef | 1,488 | py | Python | quant/api/hitbtc.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/api/hitbtc.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/api/hitbtc.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 -*-
import requests
BASE_URL = 'https://api.hitbtc.com/api/1'
TIMEOUT = 5
class PublicClient(object):
def __init__(self):
super(PublicClient, self).__init__()
@classmethod
def _build_parameters(cls, parameters):
# sort the keys so we can test eas... | 28.615385 | 74 | 0.593414 |
4bef72ef1aa952cdea3de15a87f620c06f0cc2e0 | 378 | py | Python | dqn/utils.py | laituan245/Reinforcement-Learning-Dojo | 3187621c9188d72fe593ef69ecad6d1288889a51 | [
"MIT"
] | null | null | null | dqn/utils.py | laituan245/Reinforcement-Learning-Dojo | 3187621c9188d72fe593ef69ecad6d1288889a51 | [
"MIT"
] | null | null | null | dqn/utils.py | laituan245/Reinforcement-Learning-Dojo | 3187621c9188d72fe593ef69ecad6d1288889a51 | [
"MIT"
] | null | null | null | import os
import numpy as np
def to_grayscale(img):
return np.mean(img, axis=2).astype(np.uint8)
def downsample(img):
return img[::2, ::2]
def crop(img):
return img[34:194,:]
def preprocess(img):
return downsample(crop(to_grayscale(img))) / 255.0
def create_dir_if_not_exists(directory):
if not ... | 19.894737 | 54 | 0.690476 |
32be8f6b888949fb639fa1d901bcfaedb22bf7b8 | 229 | py | Python | main.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | main.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | main.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | 2 | 2021-02-03T04:34:26.000Z | 2021-02-03T06:32:48.000Z | if __name__ == '__main__':
from module.app import LabelApp
from PyQt5.QtWidgets import QApplication
import sys
app = QApplication(sys.argv)
label_app = LabelApp()
label_app.show()
sys.exit(app.exec())
| 25.444444 | 44 | 0.681223 |
72356dddd0d1f8d1807a8e76336be29d610174a9 | 520 | py | Python | pythonProj/FZPython/demo/backtest/backtest_run_strategy.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/demo/backtest/backtest_run_strategy.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/demo/backtest/backtest_run_strategy.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | 2 | 2019-04-10T10:05:00.000Z | 2021-11-24T17:17:23.000Z | #!/usr/bin/env python
# coding: utf8
from pyquant.models.backtest import *
from pyquant.strategies.temp import *
@listener(Monitor)
def main():
strategy = CrossOver4
sd = SymbolData(fromdate='2000-01-01')
# sd.symbol = Symbol.get_stock_by_ticker('000001',index=True)
sd.symbol = Symbol.get_by_ticker... | 20 | 65 | 0.657692 |
263bc1fd0d87c325dc10c1b4d49b5c1a528fe4b3 | 384 | py | Python | 2_DeepLearning-Keras/03_Model_load_save/load_save.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 2_DeepLearning-Keras/03_Model_load_save/load_save.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 2_DeepLearning-Keras/03_Model_load_save/load_save.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
from tensorflow.keras.models import load_model
# Save path
dir_path = os.path.abspath("../DeepLearning/models") # Linux und Windows
model_path_name = os.path.join(dir_path, "model.h5")
model.save_weights(filepath=model_path_name) # speichern
model.load_weights(filepath=model_path_name) # laden
model.save(... | 25.6 | 72 | 0.773438 |
26d8ead8f7a8ed827d4ecca23c5716e9303ab72c | 758 | py | Python | components/amp-utility/python/cmath.py | ekmixon/AliOS-Things | 00334295af8aa474d818724149726ca93da4645d | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | components/amp-utility/python/cmath.py | ekmixon/AliOS-Things | 00334295af8aa474d818724149726ca93da4645d | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | components/amp-utility/python/cmath.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z | # * coding: UTF8 *
"""
模块提供一些对复数有效的基本数学函数
函数
------------------------------
"""
def cos(z):
"""
函数返回 ``z`` 的余弦值
"""
pass
def exp(z):
"""
函数返回 ``z`` 的指数值
"""
pass
def log(z):
"""
函数返回 ``z`` 的自然对数
"""
pass
def log10(z):
"""
函数返回以 ``z`` 以10为底的对数
"""
pass
def... | 8.813953 | 56 | 0.422164 |
e43e719c246c96ead425fe99e8ec2f32a6172923 | 18,192 | py | Python | python/various/who_cov.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/various/who_cov.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/various/who_cov.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | import copy
import json
from datetime import datetime
from os import environ, path
import numpy as np
import requests
from matplotlib import pyplot as plt
from matplotlib import rcParams
from matplotlib.lines import Line2D
from pandas import DataFrame as PanDataFrame
OUT_DIR = path.join(environ.get("HOME"), "Chaos"... | 37.050916 | 100 | 0.618788 |
29a3bde861006a5da4db5e5e522ef4aa4fd6e9b5 | 250 | py | Python | Licence 2/I33/TP 1/ex_13.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 2/I33/TP 1/ex_13.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 2/I33/TP 1/ex_13.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | def recherche(L,S,p):
T = []
k = 0
while k < len(L) - p:
somme = L[k]
i = k + 1
while i <= p + k:
somme += L[i]
i += 1
if somme >= S:
T += [k]
k += 1
return T | 19.230769 | 25 | 0.3 |
29d723a8c90b2063bbfecdf1ebe82e2d95b82753 | 395 | py | Python | 7-assets/past-student-repos/_DS-Python/Algorithms-I-Notes-master/practice_algs/smallest_missing_element.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/_DS-Python/Algorithms-I-Notes-master/practice_algs/smallest_missing_element.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/_DS-Python/Algorithms-I-Notes-master/practice_algs/smallest_missing_element.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # Find the Smallest Missing Element from a Sorted Array
# Given a sorted array of distinct non-negative integers, find the smallest missing element in it.
## Examples
A = [0, 1, 2, 6, 9, 11, 15]
# _Output:_ The smallest missing element is 3
B = [1, 2, 3, 4, 6, 9, 11, 15]
# _Output:_ The smallest missing element is ... | 26.333333 | 98 | 0.681013 |
4b0d9835701f4a89b0cebb07e5317d1295562626 | 8,143 | py | Python | kts/ui/fitting_report.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 18 | 2019-02-14T13:10:07.000Z | 2021-11-26T07:10:13.000Z | kts/ui/fitting_report.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-02-17T14:06:42.000Z | 2019-09-15T18:05:54.000Z | kts/ui/fitting_report.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-09-15T13:12:42.000Z | 2020-04-15T14:05:54.000Z | import time
from contextlib import redirect_stdout
import numpy as np
from IPython.display import display
from kts.settings import cfg
from kts.ui.components import HTMLRepr, Column, Field, Annotation, Title, InnerColumn, Row, Progress, Raw
from kts.ui.plotting import Line, Plot
from kts.util.formatting import format... | 38.230047 | 174 | 0.583569 |
4b1152ff78be3bde1f10d967041f3521dd5d2407 | 2,204 | py | Python | hisim/postprocessing/chartbase.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 12 | 2021-10-05T11:38:24.000Z | 2022-03-25T09:56:08.000Z | hisim/postprocessing/chartbase.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 6 | 2021-10-06T13:27:55.000Z | 2022-03-10T12:55:15.000Z | hisim/postprocessing/chartbase.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 4 | 2022-02-21T19:00:50.000Z | 2022-03-22T11:01:38.000Z | import os
import re
class Chart:
"""
Parent class for plots to be exported.
"""
months_abbrev_uppercase = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEZ']
label_months_lowercase = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'Septe... | 38 | 151 | 0.473684 |
8a7e658c8c5ad83510a08f96a4ff42b07053032d | 1,141 | py | Python | app/views/models/files.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | app/views/models/files.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | app/views/models/files.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | from flask_restplus import Model, fields
from .commons import paginate_model
file_input = Model('File Input', {
'file_name': fields.String(required=True, description='The file name', example='test.zip'),
'file_size': fields.Integer(required=True, description='The file size', example=100),
'reversion': fiel... | 51.863636 | 103 | 0.725679 |
8a7f2e5bd0c62fa0bc9b9054ae43ab0f561c5be6 | 470 | py | Python | Python/Exercícios_Python/020_sorteando_uma_ordem_na_lista.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/020_sorteando_uma_ordem_na_lista.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/020_sorteando_uma_ordem_na_lista.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""020 - Sorteando uma ordem na lista
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1_V9hmwSWetHmsg7FcYRCugHiG77Dksa1
"""
from random import sample
a1 = input('Primeiro aluno: ')
a2 = input('Segundo aluno: ')
a3 = input('Terce... | 27.647059 | 77 | 0.704255 |
8a8cac671a0d398b706f5452627b850d65cb955a | 1,378 | py | Python | src/apps/XMLViewer.py | wrthfl/pyopenms-tewb | f02ab0393df746846c26ed6c812964f9da355b99 | [
"Zlib",
"Apache-2.0"
] | 1 | 2020-05-26T16:16:14.000Z | 2020-05-26T16:16:14.000Z | src/apps/XMLViewer.py | wrthfl/pyopenms-tewb | f02ab0393df746846c26ed6c812964f9da355b99 | [
"Zlib",
"Apache-2.0"
] | null | null | null | src/apps/XMLViewer.py | wrthfl/pyopenms-tewb | f02ab0393df746846c26ed6c812964f9da355b99 | [
"Zlib",
"Apache-2.0"
] | 1 | 2020-05-16T20:09:17.000Z | 2020-05-16T20:09:17.000Z | import sys
import os
from PyQt5.QtWidgets import QApplication, QMainWindow, \
QDesktopWidget
sys.path.append(os.getcwd()+'/../view')
from ConfigView import ConfigView # noqa E402
class XMLViewer(QMainWindow):
"""
Widget for visualizing configuration data
"""
def __init__(self):
QMainWi... | 24.175439 | 59 | 0.601597 |
6a560183b1ef0dce462f8655a44c9e3a19cf5c29 | 694 | py | Python | ais3-pre-exam-2022-writeup/Misc/JeetQode/chall/helper.py | Jimmy01240397/balsn-2021-writeup | 91b71dfbddc1c214552280b12979a82ee1c3cb7e | [
"MIT"
] | null | null | null | ais3-pre-exam-2022-writeup/Misc/JeetQode/chall/helper.py | Jimmy01240397/balsn-2021-writeup | 91b71dfbddc1c214552280b12979a82ee1c3cb7e | [
"MIT"
] | null | null | null | ais3-pre-exam-2022-writeup/Misc/JeetQode/chall/helper.py | Jimmy01240397/balsn-2021-writeup | 91b71dfbddc1c214552280b12979a82ee1c3cb7e | [
"MIT"
] | null | null | null | from subprocess import Popen, PIPE
from tempfile import NamedTemporaryFile
import json
from typing import Tuple
def run_jq(json_str: str, program: str) -> Tuple[bool, str]:
with NamedTemporaryFile() as jf, NamedTemporaryFile() as pf:
jf.write(json_str.encode())
jf.flush()
pf.write(program.... | 30.173913 | 88 | 0.610951 |
0aed35cd41ce1a711ea4ca3acf09b20b848e24f9 | 4,482 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/output/analyze_teleports.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/output/analyze_teleports.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/output/analyze_teleports.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2012-2020 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 avail... | 41.5 | 107 | 0.594601 |
0afa85a02400cf8938748154a0ddf7482d15feac | 8,905 | py | Python | oneflow/python/test/ops/test_broadcast_normal.py | caishenghang/oneflow | db239cc9f98e551823bf6ce2d4395bd5c339b1c5 | [
"Apache-2.0"
] | 2 | 2021-09-10T00:19:49.000Z | 2021-11-16T11:27:20.000Z | oneflow/python/test/ops/test_broadcast_normal.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | oneflow/python/test/ops/test_broadcast_normal.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | """
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... | 33.35206 | 88 | 0.623695 |
7c99f3043d6c48a06dfd1d04890f48ff03342326 | 895 | py | Python | python/en/archive/practice_python/practice_python-exercise04-Divisors.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/practice_python/practice_python-exercise04-Divisors.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/practice_python/practice_python-exercise04-Divisors.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
2018-10-23 (Tue)
PRACTICE PYTHON, https://www.practicepython.org/
Exercise 4. Divisors
https://www.practicepython.org/exercise/2014/02/26/04-divisors.html
Create a program that asks the user for a number and then prints out a list of
all the divisors of that number.
(If you don... | 27.121212 | 80 | 0.677095 |
7ca27f5517a70bee664af4083723e78d5ce1ddff | 3,954 | py | Python | Crossbar/crossbar_test/subscription.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | Crossbar/crossbar_test/subscription.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | Crossbar/crossbar_test/subscription.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | ###############################################################################
#
# Copyright (C) 2014, Tavendo GmbH and/or collaborators. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redi... | 38.019231 | 118 | 0.683612 |
7ce344966419c8cf89bb1fe145b2a6cd25246666 | 1,184 | py | Python | simplest.py | MrDlt/Plotting_Smooth_Curve | 8165ee5147823559a37782bd22fad2a3bc2b8fd4 | [
"MIT"
] | null | null | null | simplest.py | MrDlt/Plotting_Smooth_Curve | 8165ee5147823559a37782bd22fad2a3bc2b8fd4 | [
"MIT"
] | null | null | null | simplest.py | MrDlt/Plotting_Smooth_Curve | 8165ee5147823559a37782bd22fad2a3bc2b8fd4 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.interpolate import make_interp_spline
import matplotlib.pyplot as plt
# Dataset
x = np.array([0,45.11,54,62.89,67.33,85.78]) #设置x轴数据，以','分隔
y = np.array([0,0.06,0.09,0.12,0.14,0.23]) #设置y轴数据，需与x轴数据一一对应
X_Y_Spline = make_interp_spline(x, y)
# Returns evenly spaced numbers
# over a s... | 35.878788 | 96 | 0.71875 |
86d1b0fd4e16e2acf3c8567bde476bbdd737f873 | 1,332 | py | Python | exercises/fr/solution_03_12.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/solution_03_12.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/solution_03_12.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import json
import spacy
from spacy.language import Language
from spacy.tokens import Span
from spacy.matcher import PhraseMatcher
with open("exercises/fr/countries.json", encoding="utf8") as f:
COUNTRIES = json.loads(f.read())
with open("exercises/fr/capitals.json", encoding="utf8") as f:
CAPITALS = json.loa... | 32.487805 | 87 | 0.754505 |
86f0dbfec573dc7c3782b7bcdbed5d0b7dfa6f45 | 3,850 | py | Python | bin/file_list.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 5 | 2017-04-18T20:21:06.000Z | 2020-12-28T05:44:39.000Z | bin/file_list.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 35 | 2016-09-21T18:04:51.000Z | 2020-03-11T02:39:20.000Z | bin/file_list.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 2 | 2018-12-17T03:16:35.000Z | 2020-10-18T10:09:01.000Z | #! /usr/bin/env python3
from os import curdir, scandir
from pathlib import Path
import argparse
import fnmatch
import os
import sys
import time
import typing
DEFAULT_SKIP_LIST = ['.git', '.hg']
SkipList = typing.Optional[typing.List[str]]
def scantree(
path_name: str, skip_list: SkipList = None, types: str ... | 31.557377 | 81 | 0.587532 |
d48bd946cb1176c2151dc3837370df5ba65fbfc9 | 1,959 | py | Python | TestBot/test_cogs/poketcgFunctions/quiz.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | TestBot/test_cogs/poketcgFunctions/quiz.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | TestBot/test_cogs/poketcgFunctions/quiz.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | from .. import sql, log, BASE_PATH
import requests as r
from io import BytesIO
from PIL import Image
from random import randint
import json
from discord import File
def generate_random_quiz():
resp = r.get(f'https://pokeapi.co/api/v2/pokemon/{randint(1, 898)}').json()
return Quiz(resp['id'], resp['name'])
class Qui... | 22.261364 | 76 | 0.617152 |
9c162ac71712a2dbd33c5f38a27768f8dd44dcb5 | 4,693 | py | Python | tensorflow/basic-rl/tutorial1/egoMouseLook.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | tensorflow/basic-rl/tutorial1/egoMouseLook.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | tensorflow/basic-rl/tutorial1/egoMouseLook.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | import time
import random
import shelve
import pdb
import cellular
reload(cellular)
import qlearn_mod_random as qlearn # to use the alternative exploration method
#import qlearn # to use standard exploration method
reload(qlearn)
directions = 8
lookdist = 2
lookcells = []
for i in range(-lookdist,lo... | 28.101796 | 93 | 0.54251 |
92ed70fd40cd537675414be7b1979d46a18a7a23 | 663 | py | Python | 11_Multiprocessing/multi_process.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | 1 | 2022-03-02T07:16:30.000Z | 2022-03-02T07:16:30.000Z | 11_Multiprocessing/multi_process.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | null | null | null | 11_Multiprocessing/multi_process.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | null | null | null | # läuft parallel
import time
import math
from multiprocessing import Process
NUM_PROCESSES = 4
def calc(num_elements):
res = 0
for i in range(num_elements):
res += math.sqrt(i)
print(res)
def main():
processes = []
for _ in range(NUM_PROCESSES):
processes.append(Process(target=... | 19.5 | 85 | 0.6546 |
136f0c35a8a3d0ab0e3a41287fe0be17dde6b11a | 7,096 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/cloudscale_server_group.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/cloudscale_server_group.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/cloudscale_server_group.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2019, René Moser <mail@renemoser.net>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': ... | 29.815126 | 129 | 0.651071 |
16b910d61612c93b931d1b8b1bfa5df1a19972b9 | 3,610 | py | Python | bigbench/bbseqio/test_utils.py | dimmollo/BIG-bench | f0dffeb4f16ef5489686a81e2d63362d251cda3e | [
"Apache-2.0"
] | null | null | null | bigbench/bbseqio/test_utils.py | dimmollo/BIG-bench | f0dffeb4f16ef5489686a81e2d63362d251cda3e | [
"Apache-2.0"
] | null | null | null | bigbench/bbseqio/test_utils.py | dimmollo/BIG-bench | f0dffeb4f16ef5489686a81e2d63362d251cda3e | [
"Apache-2.0"
] | null | null | null | """Utils for BIG-bench SeqIO tests."""
import functools
from absl.testing import absltest
from absl.testing import parameterized
from bigbench.api import task_metrics
from bigbench.bbseqio import bigbench_json_paths as bb_json_paths
import seqio
mock = absltest.mock
class BigbenchBridgeTest(parameterized.TestCase)... | 36.464646 | 89 | 0.666482 |
d5bddbf214b5e7ff6872e7d8d45be46e0c919344 | 334 | py | Python | etl/core/singleton.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/core/singleton.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/core/singleton.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | def Singleton(cls):
"""
The Singleton Design Pattern. Each execution of the application can
only create one instance of this class
"""
instances = {}
def getinstance(*args, **kwargs):
if cls not in instances:
instances[cls] = cls(*args)
return instances[cls]
retur... | 27.833333 | 71 | 0.628743 |
e6e3d104565573508b96e2292a540a2784479c57 | 810 | py | Python | source/pkgsrc/devel/meson/patches/patch-mesonbuild_dependencies_dev.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/devel/meson/patches/patch-mesonbuild_dependencies_dev.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/devel/meson/patches/patch-mesonbuild_dependencies_dev.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-mesonbuild_dependencies_dev.py,v 1.4 2020/04/01 14:51:05 wiz Exp $
Allow handling different versions of LLVM in pkgsrc using LLVM_CONFIG_PATH.
--- mesonbuild/dependencies/dev.py.orig 2020-03-23 17:22:09.000000000 +0000
+++ mesonbuild/dependencies/dev.py
@@ -201,7 +201,10 @@ class LLVMDependencyConfigTo... | 42.631579 | 81 | 0.690123 |
fc882276b5bd51618863abf1e96f84ec80360859 | 1,181 | py | Python | tensorflow/basic-rl/tutorial12/code/train_mountaincar_continuous_pg_baselines.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | tensorflow/basic-rl/tutorial12/code/train_mountaincar_continuous_pg_baselines.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | tensorflow/basic-rl/tutorial12/code/train_mountaincar_continuous_pg_baselines.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:17:28.000Z | 2019-05-10T09:17:28.000Z | import gym
from baselines.vpg import vpg
import tensorflow as tf
env = gym.envs.make("MountainCarContinuous-v0")
scaler, featurizer = vpg.preprocess(env)
tf.reset_default_graph()
global_step = tf.Variable(0, name="global_step", trainable=False)
policy_estimator = vpg.PolicyEstimator(env, learning_rate=0.001)
value_es... | 33.742857 | 93 | 0.65961 |
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