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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7a599551cbe10405a6533fa72546665cfe501142 | 4,954 | py | Python | tests/test_stopwatch.py | Harlocks/python-stopwatch2 | b636b03896744536a561acc0046d67db3463cbb6 | [
"MIT"
] | null | null | null | tests/test_stopwatch.py | Harlocks/python-stopwatch2 | b636b03896744536a561acc0046d67db3463cbb6 | [
"MIT"
] | null | null | null | tests/test_stopwatch.py | Harlocks/python-stopwatch2 | b636b03896744536a561acc0046d67db3463cbb6 | [
"MIT"
] | null | null | null | from pytest import fixture
from pytest_mock import MockerFixture
from stopwatch import Stopwatch
from .mocks.time import TimeMock
| 39.951613 | 79 | 0.589826 |
7a5aa6189fc8e42cc3bd513c379d34e07b3d5263 | 189 | py | Python | Curso de Cisco/Actividades/Operaciones con cadenas - min().py | tomasfriz/Curso-de-Cisco | a50ee5fa96bd86d468403e29ccdc3565a181af60 | [
"MIT"
] | null | null | null | Curso de Cisco/Actividades/Operaciones con cadenas - min().py | tomasfriz/Curso-de-Cisco | a50ee5fa96bd86d468403e29ccdc3565a181af60 | [
"MIT"
] | null | null | null | Curso de Cisco/Actividades/Operaciones con cadenas - min().py | tomasfriz/Curso-de-Cisco | a50ee5fa96bd86d468403e29ccdc3565a181af60 | [
"MIT"
] | null | null | null | # Demonstrando min() - Ejemplo 1
print(min("aAbByYzZ"))
# Demonstrando min() - Examplos 2 y 3
t = 'Los Caballeros Que Dicen "Ni!"'
print('[' + min(t) + ']')
t = [0, 1, 2]
print(min(t)) | 18.9 | 37 | 0.587302 |
7a5ac1356d168562059a4532a4fd8b8099698391 | 2,346 | py | Python | tests/ribbon/loadbalancer/dynamic_server_list_load_balancer_test.py | haribo0915/Spring-Cloud-in-Python | 0bcd7093869c797df14428bf2d1b0a779f96e573 | [
"Apache-2.0"
] | 5 | 2020-10-06T09:48:23.000Z | 2020-10-07T13:19:46.000Z | tests/ribbon/loadbalancer/dynamic_server_list_load_balancer_test.py | haribo0915/Spring-Cloud-in-Python | 0bcd7093869c797df14428bf2d1b0a779f96e573 | [
"Apache-2.0"
] | 5 | 2020-10-05T09:57:01.000Z | 2020-10-12T19:52:48.000Z | tests/ribbon/loadbalancer/dynamic_server_list_load_balancer_test.py | haribo0915/Spring-Cloud-in-Python | 0bcd7093869c797df14428bf2d1b0a779f96e573 | [
"Apache-2.0"
] | 8 | 2020-10-05T06:34:49.000Z | 2020-10-07T13:19:46.000Z | # -*- coding: utf-8 -*-
__author__ = "MJ (tsngmj@gmail.com)"
__license__ = "Apache 2.0"
# scip plugin
from ribbon.client.config.client_config import ClientConfig
from ribbon.eureka.discovery_enabled_server import DiscoveryEnabledServer
from ribbon.loadbalancer.dynamic_server_list_load_balancer import DynamicServerLis... | 33.514286 | 113 | 0.752771 |
7a5c1827901197aa7326bbd090e7c79c0c6b55cd | 2,608 | py | Python | modes.py | nondejus/bitcoind-ncurses2 | 2384065ad53e7034eac36b7692dfd24d81678ea4 | [
"MIT"
] | 72 | 2017-10-01T18:37:42.000Z | 2022-01-26T01:17:34.000Z | modes.py | nondejus/bitcoind-ncurses2 | 2384065ad53e7034eac36b7692dfd24d81678ea4 | [
"MIT"
] | 16 | 2017-10-02T03:29:06.000Z | 2019-02-20T13:00:22.000Z | modes.py | nondejus/bitcoind-ncurses2 | 2384065ad53e7034eac36b7692dfd24d81678ea4 | [
"MIT"
] | 27 | 2017-10-01T22:49:47.000Z | 2021-06-08T01:13:26.000Z | # Copyright (c) 2014-2017 esotericnonsense (Daniel Edgecumbe)
# Distributed under the MIT software license, see the accompanying
# file COPYING or https://opensource.org/licenses/mit-license.php
from macros import MODES
| 26.886598 | 66 | 0.572469 |
7a5ed90ae0d088e309d2023cf7397da8e6396fb7 | 5,043 | py | Python | check_requirements_txt.py | ferstar/check-requirements-txt | 3cb0d1135de66c99b8e4ef77c88645174388e0b7 | [
"MIT"
] | 1 | 2021-06-14T00:36:18.000Z | 2021-06-14T00:36:18.000Z | check_requirements_txt.py | ferstar/check-requirements-txt | 3cb0d1135de66c99b8e4ef77c88645174388e0b7 | [
"MIT"
] | 1 | 2020-09-10T06:34:02.000Z | 2020-09-10T11:08:09.000Z | check_requirements_txt.py | ferstar/check-requirements-txt | 3cb0d1135de66c99b8e4ef77c88645174388e0b7 | [
"MIT"
] | null | null | null | import argparse
import os
import re
import sys
from collections import defaultdict
from pathlib import Path
from typing import Dict
from typing import Generator
from typing import Iterable
from typing import List
from typing import Optional
from typing import Sequence
from typing import Set
from typing import Union
fr... | 34.074324 | 118 | 0.622645 |
7a5ee84e6d9c767a419743056d427e75818c7b96 | 5,957 | py | Python | bpg_file_size.py | yoshitomo-matsubara/supervised-compression | 6df52222c6407e8fac7d34d5e25b218910f686cf | [
"Apache-2.0"
] | 12 | 2021-11-02T00:38:47.000Z | 2022-03-15T12:57:03.000Z | bpg_file_size.py | yoshitomo-matsubara/supervised-compression | 6df52222c6407e8fac7d34d5e25b218910f686cf | [
"Apache-2.0"
] | null | null | null | bpg_file_size.py | yoshitomo-matsubara/supervised-compression | 6df52222c6407e8fac7d34d5e25b218910f686cf | [
"Apache-2.0"
] | 1 | 2022-02-22T06:53:35.000Z | 2022-02-22T06:53:35.000Z | import argparse
import os
import numpy as np
from torchdistill.datasets.transform import CustomCompose, CustomRandomResize
from torchdistill.datasets.util import load_coco_dataset, build_transform
from torchvision.datasets import ImageFolder, VOCSegmentation
from torchvision.transforms import transforms
from custom.t... | 44.789474 | 113 | 0.737787 |
7a5f45847ce76f45725bec3e256fc722d6260c66 | 556 | py | Python | setup.py | Don-Felice/photoraspi | 04b64f65cacde6c7d31acd1b5f337444d1ee7489 | [
"MIT"
] | null | null | null | setup.py | Don-Felice/photoraspi | 04b64f65cacde6c7d31acd1b5f337444d1ee7489 | [
"MIT"
] | null | null | null | setup.py | Don-Felice/photoraspi | 04b64f65cacde6c7d31acd1b5f337444d1ee7489 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name='photoraspi',
version='0.1.0',
author='Felix Segerer',
packages=['photoraspi'],
license='LICENSE',
description='Photography tools using the raspberry pi',
entry_points={
'console_scripts': [
'photoraspi = photoraspi.__main__:main... | 25.272727 | 61 | 0.595324 |
7a5f59b8105d8c01b6a6b66cefa57d4ad90dde3c | 92,239 | py | Python | psx/_dump_/17/_dump_ida_/set_vars.py | maoa3/scalpel | 2e7381b516cded28996d290438acc618d00b2aa7 | [
"Unlicense"
] | 15 | 2018-06-28T01:11:25.000Z | 2021-09-27T15:57:18.000Z | psx/_dump_/17/_dump_ida_/set_vars.py | maoa3/scalpel | 2e7381b516cded28996d290438acc618d00b2aa7 | [
"Unlicense"
] | 7 | 2018-06-29T04:08:23.000Z | 2019-10-17T13:57:22.000Z | psx/_dump_/17/_dump_ida_/set_vars.py | maoa3/scalpel | 2e7381b516cded28996d290438acc618d00b2aa7 | [
"Unlicense"
] | 7 | 2018-06-28T01:11:34.000Z | 2020-05-23T09:21:48.000Z | del_items(0x80114B24)
SetType(0x80114B24, "int NumOfMonsterListLevels")
del_items(0x800A49E4)
SetType(0x800A49E4, "struct MonstLevel AllLevels[16]")
del_items(0x80114820)
SetType(0x80114820, "unsigned char NumsLEV1M1A[4]")
del_items(0x80114824)
SetType(0x80114824, "unsigned char NumsLEV1M1B[4]")
del_items(0x80114828)
S... | 33.407823 | 67 | 0.815414 |
7a5fee112f902807e76829aa201549d3ad0aaa04 | 8,247 | py | Python | sdk/python/pulumi_grafana/organization.py | mazamats/pulumi-grafana | f7bbcbcd386a523e96862bf140e3fd31879885a4 | [
"ECL-2.0",
"Apache-2.0"
] | 7 | 2019-12-06T16:29:04.000Z | 2022-03-09T03:10:14.000Z | sdk/python/pulumi_grafana/organization.py | mazamats/pulumi-grafana | f7bbcbcd386a523e96862bf140e3fd31879885a4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_grafana/organization.py | mazamats/pulumi-grafana | f7bbcbcd386a523e96862bf140e3fd31879885a4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
| 54.615894 | 187 | 0.680975 |
7a603be8111d7ede38d1bc5287fc6087f2a2a579 | 1,545 | py | Python | backend/chineseocr_lite/config.py | MrZilinXiao/Fighting-Meme-python-wechaty | 5fbd148635928ceb22fba7cf1a4880a0045a3764 | [
"Apache-2.0"
] | 6 | 2020-08-13T10:02:32.000Z | 2020-12-07T14:22:03.000Z | backend/chineseocr_lite/config.py | MrZilinXiao/Fighting-Meme-python-wechaty | 5fbd148635928ceb22fba7cf1a4880a0045a3764 | [
"Apache-2.0"
] | 3 | 2021-06-08T21:55:26.000Z | 2022-03-12T00:38:10.000Z | backend/chineseocr_lite/config.py | MrZilinXiao/python-wechaty-meme-bo | 5fbd148635928ceb22fba7cf1a4880a0045a3764 | [
"Apache-2.0"
] | 2 | 2020-08-19T02:34:01.000Z | 2020-12-07T06:54:04.000Z | import os
filt_path = os.path.abspath(__file__)
father_path = os.path.abspath(os.path.dirname(filt_path) + os.path.sep + ".")
GPU_ID = 0
# psenet
pse_long_size = 960 #
pse_model_type = "mobilenetv2"
pse_scale = 1
if pse_model_type == "mobilenetv2":
pse_model_path = os.path.join(father_path, "models/psenet_lit... | 30.9 | 98 | 0.732039 |
7a61a5f99ef1647f179b9b8ba21e03e5c3108ee4 | 875 | py | Python | stac/test_sort.py | amandaortega/stac | c4e126ff211e4256b19ccb4104c4ca86014c8edd | [
"BSD-2-Clause"
] | null | null | null | stac/test_sort.py | amandaortega/stac | c4e126ff211e4256b19ccb4104c4ca86014c8edd | [
"BSD-2-Clause"
] | null | null | null | stac/test_sort.py | amandaortega/stac | c4e126ff211e4256b19ccb4104c4ca86014c8edd | [
"BSD-2-Clause"
] | null | null | null | from sort_algorithms import sort_algorithms
print_sort('/home/amanda/Dropbox/trabalho/doutorado/testes/aplicacoes/vento/USA/resultados/geral/2/RMSE_complete.csv', 0.05, 'RMSE complete')
#print_sort('/home/amanda/Dropbox/trabalho/doutorado/testes/aplicacoes/vento/USA/resultados/geral/2/RMSE_test.csv', 0.05, 'RMSE test'... | 51.470588 | 141 | 0.733714 |
7a63316cc2473a14ba5d4e9c197dca6675e2448b | 868 | py | Python | src/utils.py | zongxj/simple-cloud-disk | 2d33ef84c6812717e29a34c0d7d65d740e3b7dc9 | [
"MIT"
] | 1 | 2020-01-08T05:01:32.000Z | 2020-01-08T05:01:32.000Z | src/utils.py | zongxj/simple-cloud-disk | 2d33ef84c6812717e29a34c0d7d65d740e3b7dc9 | [
"MIT"
] | null | null | null | src/utils.py | zongxj/simple-cloud-disk | 2d33ef84c6812717e29a34c0d7d65d740e3b7dc9 | [
"MIT"
] | 2 | 2019-05-15T06:49:36.000Z | 2020-07-17T01:11:10.000Z | import os
from . import db
from .form import User
from .const import SCP_DIR, DISK_DIR
def delete_admin():
"""
:return:
"""
users = User.query.all()
for u in users:
db.session.delete(u)
db.session.commit()
def get_disk_main_dir():
"""
:return:
"""
if os.pat... | 18.083333 | 54 | 0.579493 |
7a633c099499f37d537aa1e6570a5359e2ba2008 | 117 | py | Python | sloth_job/admin.py | Alexoner/sloth | ac2668d1e096de474429fc0d1a5291b107374c32 | [
"Unlicense"
] | null | null | null | sloth_job/admin.py | Alexoner/sloth | ac2668d1e096de474429fc0d1a5291b107374c32 | [
"Unlicense"
] | null | null | null | sloth_job/admin.py | Alexoner/sloth | ac2668d1e096de474429fc0d1a5291b107374c32 | [
"Unlicense"
] | null | null | null | from django.contrib import admin
from .models import Proxy
# Register your models here.
admin.site.register(Proxy)
| 16.714286 | 32 | 0.794872 |
7a63b52d1ba7994909360329ec8e1560e0aa8522 | 3,845 | py | Python | gerritviewer/views/groups.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | gerritviewer/views/groups.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | gerritviewer/views/groups.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2017 Vitalii Kulanov
#
# 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 ... | 42.722222 | 78 | 0.576333 |
7a63ebc8faf56252bf51b4bbf71aad27de4c9ad0 | 5,492 | py | Python | postRunScripts/convergence.py | burks-pub/gecco2015 | 2a7e32381d2e978e52c824d8348cf106619bb795 | [
"BSD-2-Clause"
] | null | null | null | postRunScripts/convergence.py | burks-pub/gecco2015 | 2a7e32381d2e978e52c824d8348cf106619bb795 | [
"BSD-2-Clause"
] | null | null | null | postRunScripts/convergence.py | burks-pub/gecco2015 | 2a7e32381d2e978e52c824d8348cf106619bb795 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
import sys
import os
import re
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
import scipy.stats as stats
#Matplotlib font stuff (for making figures with legible text)
font = {'size': '9'}
matplotlib.rc('font', **font)
#USE TYPE 1 FONTS!!
ma... | 28.604167 | 95 | 0.675346 |
7a6544bb6af90bee9c01341925aa7f31eace86ba | 3,218 | py | Python | doppler_imaging/training/lstm.py | aasensio/DeepLearning | 71838115ce93e0ca96c8314cff3f07de1d64c235 | [
"MIT"
] | null | null | null | doppler_imaging/training/lstm.py | aasensio/DeepLearning | 71838115ce93e0ca96c8314cff3f07de1d64c235 | [
"MIT"
] | null | null | null | doppler_imaging/training/lstm.py | aasensio/DeepLearning | 71838115ce93e0ca96c8314cff3f07de1d64c235 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as pl
import os
from ipdb import set_trace as stop
os.environ["KERAS_BACKEND"] = "tensorflow"
from keras.optimizers import Adam
from keras.layers import Dense, LSTM, Input, TimeDistributed, Flatten
from keras.models import Model
import tensorflow as tf
import keras.backend.... | 29.522936 | 101 | 0.568676 |
7a659e86d3a082c888e88ec97b156d1c8a2c932d | 5,322 | py | Python | nautobot_ssot/tests/test_views.py | smk4664/nautobot-plugin-ssot | 7020d0d1910a09c408885bae9f9324fb91977928 | [
"Apache-2.0"
] | 9 | 2021-07-28T19:21:22.000Z | 2022-02-16T10:00:36.000Z | nautobot_ssot/tests/test_views.py | smk4664/nautobot-plugin-ssot | 7020d0d1910a09c408885bae9f9324fb91977928 | [
"Apache-2.0"
] | 15 | 2021-11-10T07:18:59.000Z | 2022-03-28T05:39:55.000Z | nautobot_ssot/tests/test_views.py | smk4664/nautobot-plugin-ssot | 7020d0d1910a09c408885bae9f9324fb91977928 | [
"Apache-2.0"
] | 6 | 2021-09-22T15:38:11.000Z | 2022-03-15T14:46:14.000Z | """View test cases for nautobot_ssot."""
from datetime import datetime
import uuid
from django.contrib.contenttypes.models import ContentType
from django.urls import reverse
from nautobot.extras.models import Job, JobResult
from nautobot.users.models import ObjectPermission
from nautobot.utilities.testing import Vie... | 37.478873 | 109 | 0.618001 |
7a66397e7772830697bee3478cb657c01b06a8bc | 655 | py | Python | src/aspire/utils/em.py | janden/ASPIRE-Python | 5bcf831881fd0e42630c3b99671c5ed08de260ea | [
"MIT"
] | null | null | null | src/aspire/utils/em.py | janden/ASPIRE-Python | 5bcf831881fd0e42630c3b99671c5ed08de260ea | [
"MIT"
] | 5 | 2019-06-07T13:25:29.000Z | 2019-06-18T20:34:37.000Z | src/aspire/utils/em.py | janden/ASPIRE-Python | 5bcf831881fd0e42630c3b99671c5ed08de260ea | [
"MIT"
] | 1 | 2019-06-18T17:41:52.000Z | 2019-06-18T17:41:52.000Z | """
Utility functions for Electron-Microscopy
"""
import math
def voltage_to_wavelength(voltage):
"""
Convert from electron voltage to wavelength.
:param voltage: float, The electron voltage in kV.
:return: float, The electron wavelength in nm.
"""
return 12.2643247 / math.sqrt(voltage*1e3 + ... | 27.291667 | 98 | 0.680916 |
7a66b9823f7d52c9e9c0c939ea4f42557703720b | 23,954 | py | Python | larpWikiAnomalyScanner.py | AllanWegan/larpWikiAnomalyScanner | 72615627254d34195b22f744d6961dc80527f751 | [
"Unlicense"
] | null | null | null | larpWikiAnomalyScanner.py | AllanWegan/larpWikiAnomalyScanner | 72615627254d34195b22f744d6961dc80527f751 | [
"Unlicense"
] | null | null | null | larpWikiAnomalyScanner.py | AllanWegan/larpWikiAnomalyScanner | 72615627254d34195b22f744d6961dc80527f751 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import time
import re
import glob
import os
import platform
import sys
import unicodedata
import urllib.parse
import codecs
import queue
from multiprocessing import Process, Event, Queue
from collections import Counter
baseDir = os.path.dirname(__file__)
sourceDir = os.path.join(baseDir, 'back... | 35.071742 | 88 | 0.586207 |
7a679d1a00efd7ff99cef00976d5ad2c0db00094 | 268 | py | Python | 1 MyPractice/A_Tutorials/Socratica/2InteractiveHelp.py | Davidjbennett/DavidBennett.github.io | 09a2652b7ace8741bf23c6432abd58ee790b9f0c | [
"MIT"
] | 3 | 2021-05-18T16:17:29.000Z | 2022-01-20T15:46:59.000Z | 1 MyPractice/A_Tutorials/Socratica/2InteractiveHelp.py | Davidjbennett/DavidBennett | 09a2652b7ace8741bf23c6432abd58ee790b9f0c | [
"MIT"
] | null | null | null | 1 MyPractice/A_Tutorials/Socratica/2InteractiveHelp.py | Davidjbennett/DavidBennett | 09a2652b7ace8741bf23c6432abd58ee790b9f0c | [
"MIT"
] | null | null | null | import math
print(dir()) #short for directory
#print(dir(__builtins__)) #containes many functions and types
help(pow) #shows documentation for specific function
print(pow(2,10),"\n")
help(hex)
print("\n", hex(10))
print(0xa,"\n")
#help('modules')
print(dir(math))
| 17.866667 | 61 | 0.712687 |
7a67bebe0580d55980e54fbc6f55a144c53ec12f | 7,953 | py | Python | voicefixer/vocoder/config.py | ishine/voicefixer | 0966a2f39096575cf8ae3fed8b53daf2f4512f35 | [
"MIT"
] | 159 | 2021-09-26T08:09:45.000Z | 2022-03-30T07:51:02.000Z | voicefixer/vocoder/config.py | ishine/voicefixer | 0966a2f39096575cf8ae3fed8b53daf2f4512f35 | [
"MIT"
] | 15 | 2021-09-30T04:28:09.000Z | 2022-03-27T05:06:32.000Z | voicefixer/vocoder/config.py | ishine/voicefixer | 0966a2f39096575cf8ae3fed8b53daf2f4512f35 | [
"MIT"
] | 32 | 2021-09-27T03:24:01.000Z | 2022-03-30T07:52:15.000Z | import torch
import numpy as np
import os
from voicefixer.tools.path import root_path
| 25.088328 | 88 | 0.530995 |
7a685330ea7dc697bfb2bb1cb1fdd5db2f1757dd | 938 | py | Python | build/platform/python/tests/test_common.py | jochenater/catboost | de2786fbc633b0d6ea6a23b3862496c6151b95c2 | [
"Apache-2.0"
] | 6,989 | 2017-07-18T06:23:18.000Z | 2022-03-31T15:58:36.000Z | build/platform/python/tests/test_common.py | birichie/catboost | de75c6af12cf490700e76c22072fbdc15b35d679 | [
"Apache-2.0"
] | 1,978 | 2017-07-18T09:17:58.000Z | 2022-03-31T14:28:43.000Z | build/platform/python/tests/test_common.py | birichie/catboost | de75c6af12cf490700e76c22072fbdc15b35d679 | [
"Apache-2.0"
] | 1,228 | 2017-07-18T09:03:13.000Z | 2022-03-29T05:57:40.000Z | import subprocess
import pytest
from build.platform.python.tests import testlib
PYTHON_VERSIONS = ["2.7", "3.4", "3.5", "3.6"] # 3.7, 3.8 are not runnable
| 29.3125 | 87 | 0.678038 |
7a68e5cb42401f3e82044e1020bd74333978f7a4 | 1,694 | py | Python | test.py | grvkmrpandit/competitiveprogramming | 1edb34ee7167599404ac45b9155588b79592ef4d | [
"MIT"
] | 3 | 2020-05-07T10:48:11.000Z | 2020-08-15T08:31:40.000Z | New folder/Minstack.py | gaurav-kumar-pandit/competitiveprogramming | 1edb34ee7167599404ac45b9155588b79592ef4d | [
"MIT"
] | null | null | null | New folder/Minstack.py | gaurav-kumar-pandit/competitiveprogramming | 1edb34ee7167599404ac45b9155588b79592ef4d | [
"MIT"
] | 2 | 2021-05-22T13:45:06.000Z | 2022-03-06T18:22:05.000Z |
'''
push:O(1)
getMin:O(1)
pop:O(1)
'''
heap=MinStack()
heap.push(1)
heap.push(2)
heap.push(10)
heap.push(-10)
print("min ->"+str(heap.getMin()))
print("poped ->"+str(heap.pop()))
print("min ->" + str(heap.getMin()))
| 20.91358 | 87 | 0.445691 |
7a68ee5cfb75060e92e8a59c8b964441ef6f6710 | 1,519 | py | Python | app.py | Garimadhall4/Breast-cancer-detection | 7e67fdba409728b91deb584bda3d1be218f4c72f | [
"MIT"
] | null | null | null | app.py | Garimadhall4/Breast-cancer-detection | 7e67fdba409728b91deb584bda3d1be218f4c72f | [
"MIT"
] | null | null | null | app.py | Garimadhall4/Breast-cancer-detection | 7e67fdba409728b91deb584bda3d1be218f4c72f | [
"MIT"
] | null | null | null | from flask import Flask ,request,render_template
import requests
import numpy as np
import pandas as pd
import pickle
app= Flask(__name__, static_url_path="/static")
model=pickle.load(open("BREAST_CANCER_MODEL.pkl",'rb'))
if __name__ == "__main__":
app.run(debug=True) | 35.325581 | 90 | 0.658986 |
7a6b83a0bee88253c26fcd25c16206c94fab72ee | 10,062 | py | Python | faststats/hist.py | mfouesneau/faststats | 9a75ac37afe12daee8d9bb0a4a56cec817967e04 | [
"MIT"
] | 25 | 2015-03-21T23:44:21.000Z | 2022-02-19T08:47:48.000Z | faststats/hist.py | mfouesneau/faststats | 9a75ac37afe12daee8d9bb0a4a56cec817967e04 | [
"MIT"
] | 3 | 2019-11-20T15:42:56.000Z | 2019-11-21T13:42:39.000Z | faststats/hist.py | mfouesneau/faststats | 9a75ac37afe12daee8d9bb0a4a56cec817967e04 | [
"MIT"
] | 3 | 2016-11-29T15:51:30.000Z | 2018-10-11T22:16:24.000Z | from __future__ import print_function
import numpy as np
from scipy import sparse
from scipy.interpolate import griddata
def fast_histogram2d(x, y, bins=10, weights=None, reduce_w=None, NULL=None,
reinterp=None):
"""
Compute the sparse bi-dimensional histogram of two data samples where *x... | 31.841772 | 117 | 0.577221 |
7a6f34c003af798da7fd7b8b00dd6aa486e15ff9 | 3,711 | py | Python | wetrunner/classes.py | DavidMStraub/python-wetrunner | be9549535aab3a00e496002a515c647d112ea090 | [
"MIT"
] | null | null | null | wetrunner/classes.py | DavidMStraub/python-wetrunner | be9549535aab3a00e496002a515c647d112ea090 | [
"MIT"
] | 4 | 2018-01-11T10:29:16.000Z | 2018-04-12T15:36:20.000Z | wetrunner/classes.py | DavidMStraub/python-wetrunner | be9549535aab3a00e496002a515c647d112ea090 | [
"MIT"
] | 2 | 2018-01-11T10:20:55.000Z | 2018-03-07T22:13:34.000Z | """Defines the `WET` class that provides the main interface to the wetrunner
package."""
import wcxf
from wcxf.util import qcd
from wetrunner import rge, definitions
from wetrunner.parameters import p as default_parameters
from collections import OrderedDict
| 40.336957 | 93 | 0.601725 |
7a6ff3a5dd2da7887cb19a6ed2c1752b6e82d6cc | 2,834 | py | Python | src/score.py | alexwarstadt/phrase-analogies-large-vae | 2d5734ebdcdee916038f4654fd1a9339df3d2273 | [
"MIT"
] | 1 | 2021-04-22T14:52:10.000Z | 2021-04-22T14:52:10.000Z | src/score.py | alexwarstadt/phrase-analogies-large-vae | 2d5734ebdcdee916038f4654fd1a9339df3d2273 | [
"MIT"
] | 1 | 2021-04-26T22:28:42.000Z | 2021-04-28T19:09:11.000Z | src/score.py | alexwarstadt/phrase-analogies-large-vae | 2d5734ebdcdee916038f4654fd1a9339df3d2273 | [
"MIT"
] | 1 | 2021-08-06T14:55:16.000Z | 2021-08-06T14:55:16.000Z | import re
from nltk.translate import bleu_score as nltkbleu
from typing import List, Optional
import nli
def nli_calc(sent_c, predicted_d):
"""
sent_c is a list /tensor / series of c sentences, predicted_d a list/tensor/series of predicated d sentences.
Returns one of entailment/contradiction/neutral fo... | 34.144578 | 113 | 0.673606 |
7a71861c0f1e88264bb0498cb0a74829ba71cba0 | 1,020 | py | Python | examples/anomaly_detection.py | KrishnanSG/pytsal | 204b4952c17fa3158a4ec7efb3a89588b73f66f2 | [
"MIT"
] | 32 | 2021-04-22T08:08:04.000Z | 2022-03-27T03:24:45.000Z | examples/anomaly_detection.py | KrishnanSG/pytsal | 204b4952c17fa3158a4ec7efb3a89588b73f66f2 | [
"MIT"
] | null | null | null | examples/anomaly_detection.py | KrishnanSG/pytsal | 204b4952c17fa3158a4ec7efb3a89588b73f66f2 | [
"MIT"
] | 8 | 2021-05-08T13:45:58.000Z | 2021-12-06T07:07:51.000Z | """
Holt Winter Anomaly detection Example
In this example we will look into how to create holt winters model and build an anomaly detection model
in less than 4 steps.
"""
if __name__ == '__main__':
from pytsal import anomaly, forecasting
from pytsal.dataset import *
# 1. Load the dataset
ts_... | 30.909091 | 107 | 0.686275 |
7a73b084c360609a225d9aad6ac427126687eac2 | 82 | py | Python | bili_kits/account/__init__.py | LonelySteve/Bili-Kits | 42e536400b2f35d57e5871de34303b6f2fc901ed | [
"MIT"
] | null | null | null | bili_kits/account/__init__.py | LonelySteve/Bili-Kits | 42e536400b2f35d57e5871de34303b6f2fc901ed | [
"MIT"
] | null | null | null | bili_kits/account/__init__.py | LonelySteve/Bili-Kits | 42e536400b2f35d57e5871de34303b6f2fc901ed | [
"MIT"
] | null | null | null | from .user import BaseUser,WebUser,ClientUser,UserNotLoginError,get_user_card_info | 82 | 82 | 0.902439 |
7a7692d101eac813e617e9f26a5e8626e4284e53 | 3,828 | py | Python | personalwebsite/project/views.py | Liuqian0501/personalwebsite | a3c880aa8ce5cb61e93825e37693c8ee4f421172 | [
"MIT"
] | null | null | null | personalwebsite/project/views.py | Liuqian0501/personalwebsite | a3c880aa8ce5cb61e93825e37693c8ee4f421172 | [
"MIT"
] | null | null | null | personalwebsite/project/views.py | Liuqian0501/personalwebsite | a3c880aa8ce5cb61e93825e37693c8ee4f421172 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from django.core.files.storage import default_storage
from django.core.files.base import ContentFile
from django.conf import settings
from .models import ContentImage
import io
import os
import json
from .src.trans_model import Tr... | 28.355556 | 109 | 0.573929 |
7a77403338ee31e5e87171f17d753b2434e4a1a1 | 7,341 | py | Python | appengine/findit/waterfall/try_job_util.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | appengine/findit/waterfall/try_job_util.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | appengine/findit/waterfall/try_job_util.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
from google.appengine.ext import ndb
from common import appengine_util
from common import constants
from model import analysis_status
from m... | 38.434555 | 80 | 0.721428 |
7a776ceea520cad01647ff7e5d85119dfe2ab2b4 | 7,477 | py | Python | galaxy_dive/analyze_data/gridded_data.py | zhafen/galaxy-dive | e1127da25d10f699b3ada01b1b4635255f4f3917 | [
"MIT"
] | null | null | null | galaxy_dive/analyze_data/gridded_data.py | zhafen/galaxy-dive | e1127da25d10f699b3ada01b1b4635255f4f3917 | [
"MIT"
] | 1 | 2018-12-17T21:11:18.000Z | 2018-12-17T21:11:18.000Z | galaxy_dive/analyze_data/gridded_data.py | zhafen/galaxy-dive | e1127da25d10f699b3ada01b1b4635255f4f3917 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''Subclass for analyzing particle data.
@author: Zach Hafen
@contact: zachary.h.hafen@gmail.com
@status: Development
'''
import h5py
import numpy as np
import galaxy_dive.utils.io as io
import galaxy_dive.analyze_data.simulation_data as simulation_data
import galaxy_dive.utils.utilities as uti... | 33.832579 | 112 | 0.545138 |
7a7a6aee5c4f33116044d955e189da7e038a356e | 1,187 | py | Python | tests/dsdcompiler/test_compiler.py | DNA-and-Natural-Algorithms-Group/nuskell | 45493408fd5efe378b52c14ee886a39e07fe00b5 | [
"MIT"
] | 5 | 2018-08-17T09:17:36.000Z | 2021-12-04T10:32:55.000Z | tests/dsdcompiler/test_compiler.py | DNA-and-Natural-Algorithms-Group/nuskell | 45493408fd5efe378b52c14ee886a39e07fe00b5 | [
"MIT"
] | null | null | null | tests/dsdcompiler/test_compiler.py | DNA-and-Natural-Algorithms-Group/nuskell | 45493408fd5efe378b52c14ee886a39e07fe00b5 | [
"MIT"
] | 1 | 2017-08-21T03:32:54.000Z | 2017-08-21T03:32:54.000Z | #
# Unittests for nuskell.dsdcompiler.compiler
#
# Written by Stefan Badelt (bad-ants-fleet@posteo.eu).
#
import unittest
from nuskell.dsdcompiler.objects import clear_memory, NuskellComplex
from nuskell.dsdcompiler.compiler import translate
if __name__ == '__main__':
unittest.main()
| 28.95122 | 68 | 0.611626 |
7a7d743d69dc7c6daf84cd840fef8e51bc6ce65b | 7,943 | py | Python | pa1/solution/runtagger.py | le0tan/cs4248-pos-tagger | 927b166f73abe898319c756e301da68556a96a5c | [
"MIT"
] | null | null | null | pa1/solution/runtagger.py | le0tan/cs4248-pos-tagger | 927b166f73abe898319c756e301da68556a96a5c | [
"MIT"
] | null | null | null | pa1/solution/runtagger.py | le0tan/cs4248-pos-tagger | 927b166f73abe898319c756e301da68556a96a5c | [
"MIT"
] | null | null | null | # python3.5 runtagger.py <test_file_absolute_path> <model_file_absolute_path> <output_file_absolute_path>
import os
import math
import sys
import datetime
import re
import json
START_TAG = '<s>'
END_TAG = '</s>'
UNKNOWN_TAG = '<UNK>'
SUM_TAG = '<SUM>'
SEEN_TAG = '<SEEN>'
SUM_WORD = '_SUM'
SEEN_WORD = '_SEEN'
UNK_WORD... | 40.733333 | 123 | 0.525116 |
7a7e76d080d012d4a75a0317b71ab3a4be2a2138 | 269 | py | Python | src/boiga/util.py | amarshall/boiga | faef732a59b7308b0f3be0d1d1ea047a405d641d | [
"MIT"
] | 2 | 2018-10-30T13:17:23.000Z | 2018-11-19T06:39:49.000Z | src/boiga/util.py | amarshall/boiga | faef732a59b7308b0f3be0d1d1ea047a405d641d | [
"MIT"
] | 2 | 2020-03-24T16:15:45.000Z | 2020-03-31T00:02:27.000Z | src/boiga/util.py | amarshall/boiga | faef732a59b7308b0f3be0d1d1ea047a405d641d | [
"MIT"
] | null | null | null | import typing as T
_T = T.TypeVar('_T')
| 19.214286 | 46 | 0.594796 |
7a7e91f2a51abd5462f88d90da4e7d75394b3857 | 9,392 | py | Python | homeassistant/components/aruba_instant/device_tracker.py | mww012/home-assistant | c112439894f9afbda34e27a7510e558a98feb6c6 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/aruba_instant/device_tracker.py | mww012/home-assistant | c112439894f9afbda34e27a7510e558a98feb6c6 | [
"Apache-2.0"
] | 40 | 2020-08-05T17:00:26.000Z | 2022-03-04T06:01:46.000Z | homeassistant/components/aruba_instant/device_tracker.py | mww012/home-assistant | c112439894f9afbda34e27a7510e558a98feb6c6 | [
"Apache-2.0"
] | 1 | 2020-08-05T21:59:22.000Z | 2020-08-05T21:59:22.000Z | """Aruba Instant Device Tracker"""
from datetime import timedelta
import logging
from homeassistant.components.device_tracker.config_entry import ScannerEntity
from homeassistant.components.device_tracker.const import SOURCE_TYPE_ROUTER
from homeassistant.core import HomeAssistant
from homeassistant.helpers import de... | 38.178862 | 93 | 0.617121 |
7a8029358015421569438f7b5dd805c889af9da0 | 97 | py | Python | cryptodock_suite/actions/order_rate_over_time/__init__.py | the-launch-tech/cryptodock-suite | 360d90c3531322b43df8df5e64ebbffc3241fe07 | [
"MIT"
] | null | null | null | cryptodock_suite/actions/order_rate_over_time/__init__.py | the-launch-tech/cryptodock-suite | 360d90c3531322b43df8df5e64ebbffc3241fe07 | [
"MIT"
] | null | null | null | cryptodock_suite/actions/order_rate_over_time/__init__.py | the-launch-tech/cryptodock-suite | 360d90c3531322b43df8df5e64ebbffc3241fe07 | [
"MIT"
] | null | null | null | __all__ = [
'order_rate_over_time'
]
from .order_rate_over_time import order_rate_over_time
| 16.166667 | 54 | 0.793814 |
7a80576ba2d6a34faada6026570439ce28a802f6 | 1,136 | py | Python | rantlib/core_application/auth.py | AlgoRythm-Dylan/qtpy-rant | 2b41503fb5f8d182e89a27d4727e50bb57912b1a | [
"MIT"
] | 1 | 2020-10-19T17:07:58.000Z | 2020-10-19T17:07:58.000Z | rantlib/core_application/auth.py | AlgoRythm-Dylan/qtpy-rant | 2b41503fb5f8d182e89a27d4727e50bb57912b1a | [
"MIT"
] | null | null | null | rantlib/core_application/auth.py | AlgoRythm-Dylan/qtpy-rant | 2b41503fb5f8d182e89a27d4727e50bb57912b1a | [
"MIT"
] | null | null | null | from rantlib.core_application.storage import write_data_file, read_data_file, STD_PATH_AUTH
from rantlib.devrant.devrant import Auth | 30.702703 | 91 | 0.638204 |
7a8068b588950e77e441c757a0d83af5c854fb97 | 2,947 | py | Python | python/01_Retrieve_network_data.py | martinfleis/seashore-streets | 3ef24ffba063f13f654d82977d626e7e6cf9eb21 | [
"CC-BY-4.0"
] | null | null | null | python/01_Retrieve_network_data.py | martinfleis/seashore-streets | 3ef24ffba063f13f654d82977d626e7e6cf9eb21 | [
"CC-BY-4.0"
] | null | null | null | python/01_Retrieve_network_data.py | martinfleis/seashore-streets | 3ef24ffba063f13f654d82977d626e7e6cf9eb21 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Extract street networks from OpenStreetMap
#
# Computational notebook 01 for Climate adaptation plans in the context of coastal settlements: the case of Portugal.
#
# Date: 27/06/2020
#
# ---
#
# Input data contains manually digitised building footprints stored in geopacka... | 26.079646 | 175 | 0.644384 |
7a82209a0b8c35e72eca0a3ec87b75876b07012f | 4,057 | py | Python | ids/server.py | Xzh0u/AttackScenarioDetector | c4d94647cc8341145838365fb460722bc2fc26b4 | [
"MIT"
] | null | null | null | ids/server.py | Xzh0u/AttackScenarioDetector | c4d94647cc8341145838365fb460722bc2fc26b4 | [
"MIT"
] | null | null | null | ids/server.py | Xzh0u/AttackScenarioDetector | c4d94647cc8341145838365fb460722bc2fc26b4 | [
"MIT"
] | null | null | null | from utils import load_data
from torch.nn.modules.module import Module
from torch.nn.parameter import Parameter
import math
import os
import time
from datetime import datetime
from py.predict import Predictor
from py.predict import ttypes
from thrift.transport import TSocket
from thrift.transport import TTransport
from... | 30.969466 | 103 | 0.653931 |
7a847cf3dea8aedaffbf98ed70101ea3bd516174 | 876 | py | Python | accounts/urls.py | j-windsor/cs3240-f15-team21-v2 | ec95c6629b84e7e0f52d34990ec8bec863d90a7b | [
"MIT"
] | null | null | null | accounts/urls.py | j-windsor/cs3240-f15-team21-v2 | ec95c6629b84e7e0f52d34990ec8bec863d90a7b | [
"MIT"
] | null | null | null | accounts/urls.py | j-windsor/cs3240-f15-team21-v2 | ec95c6629b84e7e0f52d34990ec8bec863d90a7b | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^register/$', views.register, name='register'),
url(r'^login/$', views.user_login, name='login'),
url(r'^logout/$', views.user_logout, name='logout'),
url(r'^groups/$', views.groups, name='groups'),
url(r'^sitemanager/$', v... | 48.666667 | 104 | 0.655251 |
7a84f01ca428f54ff44dff96ff54b827f508dc48 | 3,179 | py | Python | src/parse_settings.py | ChillerDragon-backup/TeeworldsEconMod | d41560104f79ebbeea2b9e6227ae7e93c1a90ec2 | [
"MIT"
] | 5 | 2019-05-04T00:48:12.000Z | 2021-02-22T11:03:19.000Z | src/parse_settings.py | ChillerDragon-backup/TeeworldsEconMod | d41560104f79ebbeea2b9e6227ae7e93c1a90ec2 | [
"MIT"
] | 41 | 2019-04-04T16:04:14.000Z | 2022-01-24T20:35:20.000Z | src/parse_settings.py | ChillerDragon-backup/TeeworldsEconMod | d41560104f79ebbeea2b9e6227ae7e93c1a90ec2 | [
"MIT"
] | 1 | 2018-11-04T20:16:28.000Z | 2018-11-04T20:16:28.000Z | #!/usr/bin/env python3
"""Module for parsing tem setting files"""
from base.rcon import echo
import base.settings
def parse_error(err_type: str, err_msg: str):
"""Throw parser error"""
echo("[ERROR:settings] " + str(err_type) + ": " + str(err_msg))
raise TemParseError(err_type + ": " + err_msg)
def parse... | 34.934066 | 97 | 0.587921 |
7a85f57aa8332f5ce9cf5d444a6a042b48d3edd7 | 1,506 | py | Python | main.py | RickleAndMortimer/LongToeNailIdentifier | c87de25706736c9328731a7203fc3f4a8b469459 | [
"Apache-2.0"
] | null | null | null | main.py | RickleAndMortimer/LongToeNailIdentifier | c87de25706736c9328731a7203fc3f4a8b469459 | [
"Apache-2.0"
] | null | null | null | main.py | RickleAndMortimer/LongToeNailIdentifier | c87de25706736c9328731a7203fc3f4a8b469459 | [
"Apache-2.0"
] | null | null | null | from flask import Flask
from flask import render_template
from flask import Flask, flash, request, redirect, url_for
from werkzeug.utils import secure_filename
import os
import numpy as np
import tensorflow as tf
import PIL
from tensorflow import keras
#backend instantiation
app = Flask(__name__)
app.config['UPLOAD_F... | 30.12 | 139 | 0.685923 |
7a864ede76e4af6969e4739c1618d4a0c97f278c | 1,533 | py | Python | scripts/disabled_tests/tests/test_exclude_parser.py | SarveshLimaye/aqa-tests | 2e0e22e0c87de5f1ca6cbd44853b6c810dffaf16 | [
"Apache-2.0"
] | null | null | null | scripts/disabled_tests/tests/test_exclude_parser.py | SarveshLimaye/aqa-tests | 2e0e22e0c87de5f1ca6cbd44853b6c810dffaf16 | [
"Apache-2.0"
] | null | null | null | scripts/disabled_tests/tests/test_exclude_parser.py | SarveshLimaye/aqa-tests | 2e0e22e0c87de5f1ca6cbd44853b6c810dffaf16 | [
"Apache-2.0"
] | null | null | null | import json
import os
from unittest import TestCase
from exclude_parser import transform_platform, parse_all_files
platform_map = {
"linux-aarch64": "aarch64_linux",
"linux-ppc64le": "ppc64le_linux",
"linux-arm": "arm_linux",
"linux-s390x": "s390x_linux",
"linux-x64": "x86-64_linux",
"macosx-x... | 33.326087 | 91 | 0.666014 |
7a869da16ee7f6f377c38cf336a106c5df5cc130 | 247 | py | Python | tests/conftest.py | SunsetWolf/qlib | 89972f6c6f9fa629b4f74093d4ba1e93c9f7a5e5 | [
"MIT"
] | 1 | 2021-12-14T13:48:38.000Z | 2021-12-14T13:48:38.000Z | tests/conftest.py | SunsetWolf/qlib | 89972f6c6f9fa629b4f74093d4ba1e93c9f7a5e5 | [
"MIT"
] | null | null | null | tests/conftest.py | SunsetWolf/qlib | 89972f6c6f9fa629b4f74093d4ba1e93c9f7a5e5 | [
"MIT"
] | null | null | null | import os
import sys
"""Ignore RL tests on non-linux platform."""
collect_ignore = []
if sys.platform != "linux":
for root, dirs, files in os.walk("rl"):
for file in files:
collect_ignore.append(os.path.join(root, file))
| 22.454545 | 59 | 0.639676 |
7a880650ca92d9038cfd1525741d5fec7515eb91 | 389 | py | Python | idangr_core.py | IMULMUL/IDAngr | dea91475893178b3a665b7be57eb4140ea002f84 | [
"BSD-2-Clause"
] | 237 | 2018-02-07T11:18:09.000Z | 2022-02-18T13:28:29.000Z | idangr_core.py | IMULMUL/IDAngr | dea91475893178b3a665b7be57eb4140ea002f84 | [
"BSD-2-Clause"
] | 5 | 2018-02-15T14:48:10.000Z | 2019-10-01T18:18:41.000Z | idangr_core.py | IMULMUL/IDAngr | dea91475893178b3a665b7be57eb4140ea002f84 | [
"BSD-2-Clause"
] | 34 | 2018-02-14T12:28:09.000Z | 2022-02-18T13:28:47.000Z | ######################################################
# Author: Andrea Fioraldi <andreafioraldi@gmail.com> #
# License: BSD 2-Clause #
######################################################
import idangr
print
print "################### IDAngr ###################"
print " usage: idangr.... | 25.933333 | 54 | 0.377892 |
7a896e893315d43a62612933ed64349a7cf531d4 | 3,480 | py | Python | erikagnvall-python3/day12.py | joelfak/advent_of_code_2019 | d5031078c53c181835b4bf86458b360542f0122e | [
"Apache-2.0"
] | 9 | 2019-12-01T14:52:40.000Z | 2020-12-16T14:24:19.000Z | erikagnvall-python3/day12.py | joelfak/advent_of_code_2019 | d5031078c53c181835b4bf86458b360542f0122e | [
"Apache-2.0"
] | null | null | null | erikagnvall-python3/day12.py | joelfak/advent_of_code_2019 | d5031078c53c181835b4bf86458b360542f0122e | [
"Apache-2.0"
] | 51 | 2019-11-26T14:49:05.000Z | 2021-12-01T20:53:41.000Z | import math
import os.path
from dataclasses import dataclass
from itertools import combinations
if __name__ == '__main__':
moons = _read_input()
print(part1(moons))
moons = _read_input()
print(part2(moons))
############
# Tests
example_1 = '''\
<x=-1, y=0, z=2>
<x=2, y=-10, z=-7>
<x=4, y=... | 19.772727 | 79 | 0.531897 |
7a8af1f00b23ee7ec14f2f6cc5bec1afdb6d0b35 | 286 | py | Python | team_app/sitemaps.py | dcopm999/initpy | 63e4452d7c3523bb3b38abdae8d685c7e0f54233 | [
"MIT"
] | null | null | null | team_app/sitemaps.py | dcopm999/initpy | 63e4452d7c3523bb3b38abdae8d685c7e0f54233 | [
"MIT"
] | 3 | 2019-07-29T05:33:39.000Z | 2022-01-13T01:24:41.000Z | team_app/sitemaps.py | dcopm999/initpy | 63e4452d7c3523bb3b38abdae8d685c7e0f54233 | [
"MIT"
] | 2 | 2019-07-12T04:12:20.000Z | 2019-07-29T04:34:04.000Z | from django.contrib.sitemaps import Sitemap
from django.shortcuts import reverse
| 15.888889 | 43 | 0.671329 |
7a8afbf7a5a5a3530cfe29a371a839efa2a02e4a | 491 | py | Python | Exemples cours 5/pointOBJ.py | geocot/coursPython | 74f634a96146c2244f859b9d449534330d9542fb | [
"Apache-2.0"
] | null | null | null | Exemples cours 5/pointOBJ.py | geocot/coursPython | 74f634a96146c2244f859b9d449534330d9542fb | [
"Apache-2.0"
] | null | null | null | Exemples cours 5/pointOBJ.py | geocot/coursPython | 74f634a96146c2244f859b9d449534330d9542fb | [
"Apache-2.0"
] | null | null | null |
p1 = Point(-73,45)
p1.translation(2)
print(p1.getx())
print(p1.gety())
| 19.64 | 55 | 0.535642 |
7a8b3203daf2aae6490d9025629535ad4c3f8337 | 4,634 | py | Python | cubelang/parser.py | poletaevvlad/CubeLang | 06f34e7204f4656589eb33c4afe660383704861f | [
"MIT"
] | 1 | 2019-12-04T04:02:11.000Z | 2019-12-04T04:02:11.000Z | cubelang/parser.py | poletaevvlad/CubeLang | 06f34e7204f4656589eb33c4afe660383704861f | [
"MIT"
] | null | null | null | cubelang/parser.py | poletaevvlad/CubeLang | 06f34e7204f4656589eb33c4afe660383704861f | [
"MIT"
] | null | null | null | from typing import Iterator, Dict
from string import whitespace
from .actions import Turn, Action, Rotate
from .orientation import Side
SIDE_LETTERS: Dict[str, Side] = {
"L": Side.LEFT,
"R": Side.RIGHT,
"F": Side.FRONT,
"B": Side.BACK,
"U": Side.TOP,
"D": Side.BOTTOM
}
ROTATE_LETTERS: Dict[s... | 30.688742 | 100 | 0.572076 |
7a8b9bc8c83018223580b28db60854c71ccc69e4 | 1,826 | py | Python | fabfile.py | zzz123-tech/zhanzhenblog | 0faafe4f1977b4d42bc9c5b992ab7f42bf3bfe0d | [
"MIT"
] | null | null | null | fabfile.py | zzz123-tech/zhanzhenblog | 0faafe4f1977b4d42bc9c5b992ab7f42bf3bfe0d | [
"MIT"
] | 5 | 2021-04-08T19:40:57.000Z | 2021-09-22T19:40:18.000Z | fabfile.py | zzz123-tech/zhanzhenblog | 0faafe4f1977b4d42bc9c5b992ab7f42bf3bfe0d | [
"MIT"
] | null | null | null | from fabric import task
from invoke import Responder
from _credentials import github_username, github_password
def _get_github_auth_responders():
"""
GitHub
"""
username_responder = Responder(
pattern="Username for 'https://github.com':",
response='{}\... | 38.041667 | 120 | 0.535597 |
7a8baad099e110d3f7118d2a08b476cbf8a6d48b | 2,414 | py | Python | pebble_helpers/views/mixins/auth.py | scott-w/view-helpers | 389fe3599e5b4e5da35f490a33895b220025b2a5 | [
"BSD-3-Clause"
] | 1 | 2015-12-10T17:52:50.000Z | 2015-12-10T17:52:50.000Z | pebble_helpers/views/mixins/auth.py | scott-w/view-helpers | 389fe3599e5b4e5da35f490a33895b220025b2a5 | [
"BSD-3-Clause"
] | null | null | null | pebble_helpers/views/mixins/auth.py | scott-w/view-helpers | 389fe3599e5b4e5da35f490a33895b220025b2a5 | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
from django.contrib.auth import REDIRECT_FIELD_NAME
from django.shortcuts import redirect, resolve_url
from django.utils.http import is_safe_url
from django.contrib.auth.decorators import login_required
def already_logged_in(login_function):
"""Wraps login_function with a redirec... | 34.985507 | 78 | 0.67937 |
7a8cb2e77bc04acf83fe78c12ebe944bd64c7b64 | 396 | py | Python | user/migrations/0009_user_website.py | kthaisse/website | be0d0e0763ae2a6b8351c08b432229eae9521f1d | [
"MIT"
] | 1 | 2020-03-19T09:44:16.000Z | 2020-03-19T09:44:16.000Z | user/migrations/0009_user_website.py | kthaisse/website | be0d0e0763ae2a6b8351c08b432229eae9521f1d | [
"MIT"
] | 43 | 2020-02-22T09:32:27.000Z | 2022-03-22T11:24:51.000Z | user/migrations/0009_user_website.py | kthaisse/website | be0d0e0763ae2a6b8351c08b432229eae9521f1d | [
"MIT"
] | 3 | 2020-03-06T13:27:12.000Z | 2022-02-07T09:01:07.000Z | # Generated by Django 2.2.10 on 2020-04-04 17:49
from django.db import migrations, models
| 23.294118 | 74 | 0.633838 |
7a8cd44d6b4dfe99af7fb007576bfb73aabaaa2b | 93 | py | Python | hive/controllers/api/users.py | evilinc-dev/hive | 898691bcae6dc9733d1e239113c327a96d2e6501 | [
"MIT"
] | 1 | 2019-10-26T06:32:41.000Z | 2019-10-26T06:32:41.000Z | hive/controllers/api/users.py | evilinc-dev/hive | 898691bcae6dc9733d1e239113c327a96d2e6501 | [
"MIT"
] | 2 | 2020-11-06T04:24:53.000Z | 2020-11-06T04:26:04.000Z | hive/controllers/api/users.py | evilinc-dev/hive | 898691bcae6dc9733d1e239113c327a96d2e6501 | [
"MIT"
] | null | null | null | from flask import Blueprint, jsonify
route = Blueprint("users", __name__, url_prefix='/api') | 31 | 55 | 0.763441 |
7a8e4bbe77573044dc32a4127a4bbb4d91a902d1 | 649 | py | Python | library/lib_study/159_debug_trace.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 13 | 2020-01-04T07:37:38.000Z | 2021-08-31T05:19:58.000Z | library/lib_study/159_debug_trace.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 3 | 2020-06-05T22:42:53.000Z | 2020-08-24T07:18:54.000Z | library/lib_study/159_debug_trace.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 9 | 2020-10-19T04:53:06.000Z | 2021-08-31T05:20:01.000Z | # python -m trace --count -C . somefile.py
# https://docs.python.org/zh-cn/3/library/trace.html
# python trace python -m trace --trace 159_debug_trace.py
main()
# import sys
# import trace
# # create a Trace object, telling it what to ignore, and whether to
# # do tracing or line-counting or both.
# tracer = trace.T... | 24.037037 | 68 | 0.684129 |
7a8e4bd0cee35d215bbcf4afedff8f4ee5461f7e | 1,527 | py | Python | wcd/wcc.py | brunofauth/wcd | a811f0f33ba90681b5d55096c1babddcce12fd1f | [
"MIT"
] | null | null | null | wcd/wcc.py | brunofauth/wcd | a811f0f33ba90681b5d55096c1babddcce12fd1f | [
"MIT"
] | null | null | null | wcd/wcc.py | brunofauth/wcd | a811f0f33ba90681b5d55096c1babddcce12fd1f | [
"MIT"
] | null | null | null | import asyncio as aio
import argparse as ap
import sys
import os
from pathlib import Path
from typing import Optional
from .cfg import get_cfg
from .event import ConnectionMode, DaemonEvent
# tbf this didnt need to be async, but ive never used synchronous unix sockets
if __name__ == "__main__":
main()
| 28.811321 | 101 | 0.687623 |
7a8f66c910018df30656f640554a4b526aeeb3d9 | 1,496 | py | Python | python-pong/main.py | emobileingenieria/youtube | 1c9e2074ae3fd248b9c22ed6172cc1ba62353605 | [
"MIT"
] | 176 | 2020-04-19T15:17:59.000Z | 2022-03-29T19:06:32.000Z | python-pong/main.py | emobileingenieria/youtube | 1c9e2074ae3fd248b9c22ed6172cc1ba62353605 | [
"MIT"
] | 27 | 2020-08-15T02:46:15.000Z | 2022-03-25T19:05:34.000Z | python-pong/main.py | emobileingenieria/youtube | 1c9e2074ae3fd248b9c22ed6172cc1ba62353605 | [
"MIT"
] | 410 | 2020-01-30T11:03:22.000Z | 2022-03-30T18:35:57.000Z | import pygame
from pygame.locals import *
from paddle import Paddle
from ball import Ball
from inputs import handle_events, handle_input
from constants import SCREEN_WIDTH, SCREEN_HEIGHT, WHITE, RED
ball = None
left_paddle = None
right_paddle = None
pygame.init()
screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN... | 20.493151 | 67 | 0.70254 |
7a90dede031ad5cf6333fc8dd16c4c89761ca0d8 | 2,994 | py | Python | tvrenamer/service.py | shad7/tvrenamer | 7fb59cb02669357e73b7acb92dcb6d74fdff4654 | [
"MIT"
] | 1 | 2017-11-25T05:01:24.000Z | 2017-11-25T05:01:24.000Z | tvrenamer/service.py | shad7/tvrenamer | 7fb59cb02669357e73b7acb92dcb6d74fdff4654 | [
"MIT"
] | 2 | 2015-09-19T05:08:58.000Z | 2016-12-15T18:52:07.000Z | tvrenamer/service.py | shad7/tvrenamer | 7fb59cb02669357e73b7acb92dcb6d74fdff4654 | [
"MIT"
] | 2 | 2019-05-10T12:36:04.000Z | 2021-01-03T19:59:45.000Z | import logging
import logging.config
import logging.handlers
import os
import sys
from oslo_config import cfg
import six
from six import moves
import tvrenamer
from tvrenamer import options
from tvrenamer import services
logging.getLogger().addHandler(logging.NullHandler())
DEFAULT_LIBRARY_LOG_LEVEL = {'stevedore':... | 33.640449 | 78 | 0.667335 |
7a9163686720b28ba98796c68d0cd6e016ed9e64 | 1,637 | py | Python | binary_for_search.py | jorgeMorfinezM/binary_search_algorithms | 75a4f6febe6ffddbaa09aa10c87ba76027cd7af3 | [
"Apache-2.0"
] | null | null | null | binary_for_search.py | jorgeMorfinezM/binary_search_algorithms | 75a4f6febe6ffddbaa09aa10c87ba76027cd7af3 | [
"Apache-2.0"
] | null | null | null | binary_for_search.py | jorgeMorfinezM/binary_search_algorithms | 75a4f6febe6ffddbaa09aa10c87ba76027cd7af3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Algoritmo de busqueda binaria usando el ciclo while
escrito en Python.
Este metodo funciona con cadenas y numeros por igual, ya
que el lenguaje trata a las cadenas lexicograficamente;
comparando sus valores en el codigo ASCII
"""
"""
Tests
"""
# Test con arreglo numericos
data_list = [... | 25.184615 | 83 | 0.6854 |
7a916a9d126a25799ce3473d1cbc7c356c7ec1da | 353 | py | Python | ressources/migrations/0005_auto_20200804_2357.py | rollanda21/Genetic-algorithm-for-time-table-generation | fb1ab13ab54da1a5d0582787baa2c444a9a838db | [
"MIT"
] | null | null | null | ressources/migrations/0005_auto_20200804_2357.py | rollanda21/Genetic-algorithm-for-time-table-generation | fb1ab13ab54da1a5d0582787baa2c444a9a838db | [
"MIT"
] | null | null | null | ressources/migrations/0005_auto_20200804_2357.py | rollanda21/Genetic-algorithm-for-time-table-generation | fb1ab13ab54da1a5d0582787baa2c444a9a838db | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-08-04 22:57
from django.db import migrations
| 19.611111 | 50 | 0.594901 |
7a917601f43966f35d030de0a4f74845b051da5b | 78 | py | Python | bandoleers/__init__.py | ibnpaul/bandoleers | 22398b134be40abd9a08f121f342923675b9fb52 | [
"BSD-3-Clause"
] | null | null | null | bandoleers/__init__.py | ibnpaul/bandoleers | 22398b134be40abd9a08f121f342923675b9fb52 | [
"BSD-3-Clause"
] | null | null | null | bandoleers/__init__.py | ibnpaul/bandoleers | 22398b134be40abd9a08f121f342923675b9fb52 | [
"BSD-3-Clause"
] | null | null | null | version_info = (3, 1, 0)
__version__ = '.'.join(str(s) for s in version_info)
| 26 | 52 | 0.666667 |
7a92082d3d523c6edc93f0763c489fce6fec5488 | 3,612 | py | Python | src/TypeChecker.py | leveryd/PlayWithCompiler | 0701fbb7d94512e3af05a95266e0fdc562b3d40c | [
"MIT"
] | 8 | 2021-01-16T09:29:54.000Z | 2022-03-25T11:22:09.000Z | src/TypeChecker.py | leveryd/PlayWithCompiler | 0701fbb7d94512e3af05a95266e0fdc562b3d40c | [
"MIT"
] | null | null | null | src/TypeChecker.py | leveryd/PlayWithCompiler | 0701fbb7d94512e3af05a95266e0fdc562b3d40c | [
"MIT"
] | null | null | null | # coding:utf-8
"""
1.
2.
3.
4. []
"""
from dist.PlayScriptListener import PlayScriptListener
from dist.PlayScriptParser import PlayScriptParser
from src.DataStructures import *
| 38.83871 | 113 | 0.550941 |
7a9209287de1f8c2c641f48b14aba0f2acae7c18 | 456 | py | Python | Script/Clients/discord.py | AIDRI/Clash-Of-Clans-Discord-Bot | 2a9f0495e30ae22ca487886fa48f9d206a545b99 | [
"BSD-3-Clause"
] | null | null | null | Script/Clients/discord.py | AIDRI/Clash-Of-Clans-Discord-Bot | 2a9f0495e30ae22ca487886fa48f9d206a545b99 | [
"BSD-3-Clause"
] | null | null | null | Script/Clients/discord.py | AIDRI/Clash-Of-Clans-Discord-Bot | 2a9f0495e30ae22ca487886fa48f9d206a545b99 | [
"BSD-3-Clause"
] | null | null | null | import discord
from Script.clash_info import Bot
from Script.Const_variables.import_const import Login
intents = discord.Intents.default()
intents.members = True
Clash_info = Bot(intents=intents)
main_bot = 1
if main_bot:
Token = Login["discord"]["token"]
Clash_info.default_prefix = "/"
Clash_info.id = 7... | 24 | 53 | 0.739035 |
7a927e322c5b074520434339070daf7e2d615386 | 28,633 | py | Python | BivariateShapley/shapley_value_functions.py | anonymous29387491/iclr2022 | 60c5727f8519e64610b632d074510587fb7ff692 | [
"MIT"
] | 2 | 2022-03-15T05:28:48.000Z | 2022-03-17T16:23:45.000Z | BivariateShapley/shapley_value_functions.py | anonymous29387491/iclr2022 | 60c5727f8519e64610b632d074510587fb7ff692 | [
"MIT"
] | null | null | null | BivariateShapley/shapley_value_functions.py | anonymous29387491/iclr2022 | 60c5727f8519e64610b632d074510587fb7ff692 | [
"MIT"
] | null | null | null | import torch
import torch.nn.functional as F
from utils_shapley import *
import xgboost as xgb
from sklearn import metrics
'''
class eval_XGB_cox():
def __init__(self, model):
self.model = model
def init_baseline(self, x, **kwargs):
_, self.d = x.shape
de... | 36.99354 | 142 | 0.497189 |
7a93af7390a86a63dfa10a4fce34e5b00f2746a9 | 2,452 | py | Python | realsense2_camera/scripts/importRosbag/messageTypes/geometry_msgs_TwistStamped.py | seasony-org/realsense-ros | c3641acd94986ca79f6bc7e21425fe1316e59a9c | [
"Apache-2.0"
] | 1 | 2021-03-07T16:21:25.000Z | 2021-03-07T16:21:25.000Z | realsense2_camera/scripts/importRosbag/messageTypes/geometry_msgs_TwistStamped.py | seasony-org/realsense-ros | c3641acd94986ca79f6bc7e21425fe1316e59a9c | [
"Apache-2.0"
] | 3 | 2021-08-02T16:37:30.000Z | 2021-11-11T23:31:55.000Z | realsense2_camera/scripts/importRosbag/messageTypes/geometry_msgs_TwistStamped.py | seasony-org/realsense-ros | c3641acd94986ca79f6bc7e21425fe1316e59a9c | [
"Apache-2.0"
] | 1 | 2020-12-03T08:07:01.000Z | 2020-12-03T08:07:01.000Z | # -*- coding: utf-8 -*-
"""
Copyright (C) 2019 Event-driven Perception for Robotics
Authors: Sim Bamford
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... | 40.196721 | 90 | 0.696574 |
7a98c181267dbbf866969a8eeec7fa019843d167 | 2,150 | py | Python | src/main.py | Merk0ff/PicRandomFromImgur | f2080f0a812bb77bd6f755c301f243596cad9838 | [
"MIT"
] | null | null | null | src/main.py | Merk0ff/PicRandomFromImgur | f2080f0a812bb77bd6f755c301f243596cad9838 | [
"MIT"
] | null | null | null | src/main.py | Merk0ff/PicRandomFromImgur | f2080f0a812bb77bd6f755c301f243596cad9838 | [
"MIT"
] | null | null | null | import urllib.request
import random
import time
import os
from bs4 import BeautifulSoup
chars = ["A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z","a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w","x","y","z","0","1","2","3... | 23.11828 | 257 | 0.52186 |
7a9ac7f445754aa77ec1c6acd2381e69f15d4ea3 | 1,483 | py | Python | setup.py | mvantellingen/python-ideal | fe1254ff8b8199791855b8467c80cca3563d6f68 | [
"MIT"
] | null | null | null | setup.py | mvantellingen/python-ideal | fe1254ff8b8199791855b8467c80cca3563d6f68 | [
"MIT"
] | null | null | null | setup.py | mvantellingen/python-ideal | fe1254ff8b8199791855b8467c80cca3563d6f68 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import ideal
from setuptools import setup, find_packages
readme = read_file('README.rst')
changes = read_file('CHANGES.rst')
install_requires = [
'requests>=1.2.0',
'lxml',
'python-dateutil',
'pyOpenSSL'
]
tests_require = [
'nose',
... | 24.716667 | 70 | 0.612947 |
7a9c270af83981606714f4300077542e6e870eab | 378 | py | Python | archive/migrations/0007_auto_20190715_0559.py | emawind84/rrwebtv | ae22cd39ea430aed0de2b852e40c309465a7237b | [
"MIT"
] | null | null | null | archive/migrations/0007_auto_20190715_0559.py | emawind84/rrwebtv | ae22cd39ea430aed0de2b852e40c309465a7237b | [
"MIT"
] | 2 | 2020-06-05T20:13:36.000Z | 2021-06-10T21:18:43.000Z | archive/migrations/0007_auto_20190715_0559.py | emawind84/rrwebtv | ae22cd39ea430aed0de2b852e40c309465a7237b | [
"MIT"
] | null | null | null | # Generated by Django 2.0.13 on 2019-07-15 05:59
from django.db import migrations
| 19.894737 | 49 | 0.600529 |
7a9c731d26c1abf0b1abd41d7bb369cce99cfdb6 | 2,072 | py | Python | base100/base100/base_81-90.py | cwenao/python_web_learn | 1ee2bc60de757734403ed749c6f33d3690678fa0 | [
"Apache-2.0"
] | null | null | null | base100/base100/base_81-90.py | cwenao/python_web_learn | 1ee2bc60de757734403ed749c6f33d3690678fa0 | [
"Apache-2.0"
] | null | null | null | base100/base100/base_81-90.py | cwenao/python_web_learn | 1ee2bc60de757734403ed749c6f33d3690678fa0 | [
"Apache-2.0"
] | null | null | null | #81. 809*??=800*??+9*??+1 ??,8*??9*??3??809*??
#
#82
convert8to10(122)
#83. 07
count_odd_num()
#84
x = ['a', 'b', 'dd', 'good', 'lucky', 'day']
join_str(',', x)
#85 9
numerator(13)
#87.
x = GoodDay()
x.m = 100
x.n = 20
print('this is the x.m %d and x.n %d' % (x.m, x.n))
struct_do(x)
pri... | 15.014493 | 86 | 0.551158 |
7aa00615c0b94b6e49a52a8d141fa1c7aa174f50 | 2,089 | py | Python | Week1/main.py | EricCharnesky/CIS2001-Winter2022 | 9c74433ade96e4c7bf9029543285f1ded1fe91e5 | [
"MIT"
] | 3 | 2022-01-20T21:55:17.000Z | 2022-02-02T23:10:45.000Z | Week1/main.py | EricCharnesky/CIS2001-Winter2022 | 9c74433ade96e4c7bf9029543285f1ded1fe91e5 | [
"MIT"
] | null | null | null | Week1/main.py | EricCharnesky/CIS2001-Winter2022 | 9c74433ade96e4c7bf9029543285f1ded1fe91e5 | [
"MIT"
] | 2 | 2022-02-06T02:59:32.000Z | 2022-02-23T02:34:13.000Z | import random
value_a = int(input("enter the first number"))
value_b = int(input("enter the second number"))
value_c = int(input("enter the third number"))
print(value_b + value_a + value_c)
list_of_numbers = []
for number in range(100):
list_of_numbers.append(random.randint(1,100)) # inclusive of both values
... | 31.651515 | 191 | 0.713739 |
7aa1ed7ff69e5fa06e1999f4f1988858993f4c39 | 640 | py | Python | exercicios/ex034.py | mrcbnu/python-_exercicios | 773da52a227f0e9ecce998cb6b50b3fe167a4f1d | [
"MIT"
] | null | null | null | exercicios/ex034.py | mrcbnu/python-_exercicios | 773da52a227f0e9ecce998cb6b50b3fe167a4f1d | [
"MIT"
] | null | null | null | exercicios/ex034.py | mrcbnu/python-_exercicios | 773da52a227f0e9ecce998cb6b50b3fe167a4f1d | [
"MIT"
] | null | null | null | ###########################################
# EXERCICIO 034 #
###########################################
'''ESCREVA UM PROGRAMA QUE PERGUNTE O SALARIO
DE UM FUNCIONARIO E CALCULE O VALOR DE SEU
AUMENTO: PARA SALARIO SUPERIORES A R$1250,00
CALCULE AUMENTO DE 10 %, PARA SALARIOS MENORES
OU IGUA... | 35.555556 | 73 | 0.542188 |
7aa3bc06ce88a6510c42ac13c32774a8c30eb09b | 41,395 | py | Python | python/getdist/gui/Resources_pyside.py | sjoudaki/CosmoJBD | 3c1d029b74034b92cb2974de15e4c18637a5277e | [
"MIT"
] | 1 | 2020-06-04T15:29:37.000Z | 2020-06-04T15:29:37.000Z | python/getdist/gui/Resources_pyside.py | sjoudaki/CosmoJBD | 3c1d029b74034b92cb2974de15e4c18637a5277e | [
"MIT"
] | null | null | null | python/getdist/gui/Resources_pyside.py | sjoudaki/CosmoJBD | 3c1d029b74034b92cb2974de15e4c18637a5277e | [
"MIT"
] | null | null | null | # Resource object code
#
# Created: sam. mars 28 17:53:16 2015
# by: The Resource Compiler for PySide (Qt v4.8.6)
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore
qt_resource_data = b"\x00\x00\x06\xe0\x89PNG\x0d\x0a\x1a\x0a\x00\x00\x00\x0dIHDR\x00\x00\x00 \x00\x00\x00 \x08\x06\x... | 2,069.75 | 39,249 | 0.744559 |
7aa7b397c8a186c0ba8a769562764b679d11f2b9 | 3,613 | py | Python | train.py | Unique-Divine/Neural-Networks-for-Gravitational-Lens-Modeling | cd64ceda84bdd1486ad17585074ba8c7a0576ab5 | [
"MIT"
] | null | null | null | train.py | Unique-Divine/Neural-Networks-for-Gravitational-Lens-Modeling | cd64ceda84bdd1486ad17585074ba8c7a0576ab5 | [
"MIT"
] | null | null | null | train.py | Unique-Divine/Neural-Networks-for-Gravitational-Lens-Modeling | cd64ceda84bdd1486ad17585074ba8c7a0576ab5 | [
"MIT"
] | null | null | null | ############### OPTIMIZER:
learning_rate = 1e-6
train_step = tf.train.AdamOptimizer(learning_rate).minimize(
MeanSquareCost, var_list=train_pars)
##########################
num_batch_samples = 50
num_iterations = 1
min_eval_cost = 0.06
X = np.zeros((cycle_batch_size, numpix_side*numpix_side), dtype='float32')... | 38.849462 | 80 | 0.562137 |
7aaa78c4723caeac3fb5b1b2b9fe69e555ed2d5d | 654 | py | Python | instructors/course-2015/errors_and_introspection/project/primesieve1.py | mgadagin/PythonClass | 70b370362d75720b3fb0e1d6cc8158f9445e9708 | [
"MIT"
] | 46 | 2017-09-27T20:19:36.000Z | 2020-12-08T10:07:19.000Z | instructors/course-2015/errors_and_introspection/project/primesieve1.py | mgadagin/PythonClass | 70b370362d75720b3fb0e1d6cc8158f9445e9708 | [
"MIT"
] | 6 | 2018-01-09T08:07:37.000Z | 2020-09-07T12:25:13.000Z | instructors/course-2015/errors_and_introspection/project/primesieve1.py | mgadagin/PythonClass | 70b370362d75720b3fb0e1d6cc8158f9445e9708 | [
"MIT"
] | 18 | 2017-10-10T02:06:51.000Z | 2019-12-01T10:18:13.000Z | """
Sieve of Erasmus - Prime Sieve
Goal: Find the first n primes
What we know:
For a given integer, take every integer between 1 and itself.
Test itself modulo that integer. If results is zero, then it is nonprime.
If none of these modulo give zero, then it is prime.
"""
# range will include the first... | 17.210526 | 77 | 0.637615 |
7aab6b0db7e62b035b739900d595c37d109328d7 | 824 | py | Python | events/migrations/0003_event_color.py | jjorissen52/golf_site2 | bcadd35f8386a20e532769cadf93eed6cea304fa | [
"MIT"
] | null | null | null | events/migrations/0003_event_color.py | jjorissen52/golf_site2 | bcadd35f8386a20e532769cadf93eed6cea304fa | [
"MIT"
] | 7 | 2019-10-21T21:55:23.000Z | 2021-06-08T19:43:12.000Z | events/migrations/0003_event_color.py | jjorissen52/golf-site | 4050f4518daf4c5b058f7fc38702a153021c2e1b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.8 on 2017-11-04 03:34
from __future__ import unicode_literals
from django.db import migrations, models
| 39.238095 | 428 | 0.565534 |
7aadb468bc8909478a44a2b0813c2fd13594ee74 | 7,011 | py | Python | algorithms/aiAlgorithms/cnn/cnn_facial_recognition.py | bigfoolliu/liu_aistuff | aa661d37c05c257ee293285dd0868fb7e8227628 | [
"MIT"
] | 1 | 2019-11-25T07:23:42.000Z | 2019-11-25T07:23:42.000Z | algorithms/aiAlgorithms/cnn/cnn_facial_recognition.py | bigfoolliu/liu_aistuff | aa661d37c05c257ee293285dd0868fb7e8227628 | [
"MIT"
] | 13 | 2020-01-07T16:09:47.000Z | 2022-03-02T12:51:44.000Z | algorithms/aiAlgorithms/cnn/cnn_facial_recognition.py | bigfoolliu/liu_aistuff | aa661d37c05c257ee293285dd0868fb7e8227628 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# author: bigfoolliu
# TODO: not finished.
"""
fer2013.csv
- emotion,pixels,Usage
- pixels48*48
"""
import string, os, sys
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
import random
import tensorflow as tf
import pandas as pd
import datetime
#
FIL... | 36.326425 | 120 | 0.609471 |
7aadd67713b04f99020d3336572a2b1f949370d1 | 2,237 | py | Python | lib/file_tools.py | apimetre/MetreAppUI_v0.25 | 16cdee8154bca18cffeff512a431249f79a62f83 | [
"MIT"
] | null | null | null | lib/file_tools.py | apimetre/MetreAppUI_v0.25 | 16cdee8154bca18cffeff512a431249f79a62f83 | [
"MIT"
] | null | null | null | lib/file_tools.py | apimetre/MetreAppUI_v0.25 | 16cdee8154bca18cffeff512a431249f79a62f83 | [
"MIT"
] | null | null | null | import os
import json
import textwrap
CONSOLE_WIDTH = 140
INDENT_STR = ' '
if __name__ == '__main__':
# test
print_wrap(f"binfile_to_list: {binfile_to_list('../result.bin')}", INDENT_STR, CONSOLE_WIDTH)
print_wrap(f"binfile_to_dict (bin): {binfile_to_dict('../result.bin')}", INDENT_STR, CONS... | 31.507042 | 103 | 0.640143 |
7aae6ff3ef827f9d09728a23412642eaab0c7bb6 | 899 | py | Python | importall/finder.py | markrofail/importall | 91ea72c259fb84090bd6ab300b021092cb110c8e | [
"MIT"
] | null | null | null | importall/finder.py | markrofail/importall | 91ea72c259fb84090bd6ab300b021092cb110c8e | [
"MIT"
] | 1 | 2020-10-03T23:07:36.000Z | 2020-10-04T17:06:25.000Z | importall/finder.py | markrofail/importall | 91ea72c259fb84090bd6ab300b021092cb110c8e | [
"MIT"
] | 2 | 2020-10-04T07:05:45.000Z | 2022-01-27T13:24:53.000Z | import sys
from pathlib import Path
from typing import Generator, Optional, Set
| 26.441176 | 52 | 0.556174 |
7aaf81246d4bfc468f02f4d25847da25eaa2d04d | 34,760 | py | Python | src/ngs_te_mapper2/utility.py | bergmanlab/ngs_te_mapper2 | 478eb9586ef275304d16c81d484d7e408fa6e691 | [
"BSD-2-Clause"
] | 7 | 2021-01-29T21:01:19.000Z | 2021-03-29T15:34:38.000Z | sourceCode/utility.py | altingia/ngs_te_mapper2 | 220619a3dd00b8c05c3b96328eb2424c6aad623e | [
"Unlicense"
] | 2 | 2021-04-24T13:37:23.000Z | 2021-07-30T03:32:09.000Z | sourceCode/utility.py | altingia/ngs_te_mapper2 | 220619a3dd00b8c05c3b96328eb2424c6aad623e | [
"Unlicense"
] | 1 | 2021-07-15T08:30:36.000Z | 2021-07-15T08:30:36.000Z | #!/usr/bin/env python3
import sys
import os
import subprocess
import logging
import re
from Bio import SeqIO
import math
from datetime import datetime, timedelta
from statistics import mean
import pysam
"""
This script provides utility functions that are used by ngs_te_mapper program
"""
def parse_input(input_re... | 34.552684 | 100 | 0.491628 |
7ab150a3ed8c0b8808f9451af96aeb4944ce2970 | 801 | py | Python | gameParameters.py | VerdantFox/TowerDefense | 1463fcd5067a565d049303ba04564e44051dc7ae | [
"CC-BY-4.0"
] | 6 | 2019-01-30T00:06:43.000Z | 2021-11-29T13:15:42.000Z | gameParameters.py | VerdantFox/TowerDefense | 1463fcd5067a565d049303ba04564e44051dc7ae | [
"CC-BY-4.0"
] | null | null | null | gameParameters.py | VerdantFox/TowerDefense | 1463fcd5067a565d049303ba04564e44051dc7ae | [
"CC-BY-4.0"
] | 2 | 2020-12-15T07:55:34.000Z | 2021-07-28T12:09:16.000Z | import pygame
# https://stackoverflow.com/questions/28005641
# /how-to-add-a-background-image-into-pygame
# Set constants for game dimensions, background, title and icon
backgroundImage = Background('gameBackDrop.png')
display_width = 860
display_height = 760
gameDisplay = pygame.display.set_mode((display_width, d... | 29.666667 | 70 | 0.742821 |
7ab37cc2249d58e9dcecc9e7c9472bb35cb53ad8 | 5,754 | py | Python | server/auto.py | adeept/Adeept_PiCar-A_OpenCV | f3f2cc3e19a75ee65f2878681ae37712af21c5c6 | [
"MIT"
] | null | null | null | server/auto.py | adeept/Adeept_PiCar-A_OpenCV | f3f2cc3e19a75ee65f2878681ae37712af21c5c6 | [
"MIT"
] | null | null | null | server/auto.py | adeept/Adeept_PiCar-A_OpenCV | f3f2cc3e19a75ee65f2878681ae37712af21c5c6 | [
"MIT"
] | 1 | 2020-07-14T10:38:01.000Z | 2020-07-14T10:38:01.000Z | #!/usr/bin/evn python
# File name : auto.py
# Description : By detecting the distance through Ultrasonic,controlling the RPi car move to the four directons:the front,back,left and right,thus the car achieves automatic avoidance.
# Website : www.adeept.com
# E-mail : support@adeept.com
# Author : Willi... | 38.61745 | 186 | 0.574035 |
7ab3d8c6fd521a3eb09a2a807ea3c5f59c26bd3d | 692 | py | Python | pavo_cristatus/tests/interactions_tests/test_non_annotated_project_loader_interaction.py | MATTHEWFRAZER/pavo_cristatus | a4b96c0eb6c454fbe38d2092e29f63457a4ee955 | [
"MIT"
] | null | null | null | pavo_cristatus/tests/interactions_tests/test_non_annotated_project_loader_interaction.py | MATTHEWFRAZER/pavo_cristatus | a4b96c0eb6c454fbe38d2092e29f63457a4ee955 | [
"MIT"
] | null | null | null | pavo_cristatus/tests/interactions_tests/test_non_annotated_project_loader_interaction.py | MATTHEWFRAZER/pavo_cristatus | a4b96c0eb6c454fbe38d2092e29f63457a4ee955 | [
"MIT"
] | null | null | null | import os
from pavo_cristatus.interactions.non_annotated_project_loader_interaction.non_annotated_project_loader_interaction import interact
from pavo_cristatus.interactions.pavo_cristatus_status import PavoCristatusStatus
unit_test_path = os.path.split(__file__)[0]
project_root_path = os.path.normpath(os.path.join(u... | 46.133333 | 130 | 0.812139 |
7ab5d3886e481d9fd30cc1cfa29570356f13d910 | 945 | py | Python | book_env/Lib/site-packages/pandas_datareader/tests/test_base.py | als0052/Hands-On-Data-Analysis-with-Pandas | ea4e94f93a1e00cbccb493f22dde5c8007ed5e76 | [
"MIT"
] | 1 | 2018-01-11T14:11:40.000Z | 2018-01-11T14:11:40.000Z | book_env/Lib/site-packages/pandas_datareader/tests/test_base.py | als0052/Hands-On-Data-Analysis-with-Pandas | ea4e94f93a1e00cbccb493f22dde5c8007ed5e76 | [
"MIT"
] | 12 | 2020-06-06T01:22:26.000Z | 2022-03-12T00:13:42.000Z | book_env/Lib/site-packages/pandas_datareader/tests/test_base.py | als0052/Hands-On-Data-Analysis-with-Pandas | ea4e94f93a1e00cbccb493f22dde5c8007ed5e76 | [
"MIT"
] | 5 | 2018-05-19T05:08:51.000Z | 2021-04-29T16:03:45.000Z | import pytest
import requests
import pandas_datareader.base as base
| 28.636364 | 54 | 0.660317 |
7ab62d959e429878d13e44a7850041a15a64d80c | 6,692 | py | Python | streamalert/scheduled_queries/config/services.py | Meliairon/streamalert | 3b774a59d260b2822cd156e837781bd34f3625f7 | [
"Apache-2.0"
] | null | null | null | streamalert/scheduled_queries/config/services.py | Meliairon/streamalert | 3b774a59d260b2822cd156e837781bd34f3625f7 | [
"Apache-2.0"
] | null | null | null | streamalert/scheduled_queries/config/services.py | Meliairon/streamalert | 3b774a59d260b2822cd156e837781bd34f3625f7 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2017-present, Airbnb Inc.
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, sof... | 33.128713 | 100 | 0.745965 |
7ab674f9cee64f6395f521ac99930ad93c5cdb4a | 2,006 | py | Python | Lesson_3/List.py | mirdinemris/Python_lesson_2 | bf2fce1dbd6ae635d6aa631703b9930b164972b0 | [
"MIT"
] | null | null | null | Lesson_3/List.py | mirdinemris/Python_lesson_2 | bf2fce1dbd6ae635d6aa631703b9930b164972b0 | [
"MIT"
] | 1 | 2020-04-14T14:13:57.000Z | 2020-04-14T14:13:57.000Z | Lesson_3/List.py | mirdinemris/Python_lesson_2 | bf2fce1dbd6ae635d6aa631703b9930b164972b0 | [
"MIT"
] | null | null | null | # - (List)
# ()
list_temp = [] #
print(type(list_temp))
list_temp = [1.2, 123, 'Volvo', [1,2,3,]]
for el in list_temp:
print(el, type(el))
# - list
list_str = list('Volvo')
print(list_str)
# ,
for i in range(len(list_temp)):
print(i, ':', list_temp[i])
for i in range(len(list_temp)):... | 25.075 | 86 | 0.720837 |
7ab67c6ce48ef47990e3682f8981f7154e3213d5 | 2,545 | py | Python | Pyhton-303-main/loops.py | meminds/DataScience | 4671fab86d50d4fefd88732afed767a0280e3a6b | [
"MIT"
] | null | null | null | Pyhton-303-main/loops.py | meminds/DataScience | 4671fab86d50d4fefd88732afed767a0280e3a6b | [
"MIT"
] | null | null | null | Pyhton-303-main/loops.py | meminds/DataScience | 4671fab86d50d4fefd88732afed767a0280e3a6b | [
"MIT"
] | null | null | null |
# FOR loop
student = ["ali","veli","isik","berk"]
for i in student:
print(i) """returns ali
veli
isik
berk """... | 34.391892 | 96 | 0.203929 |
7ab71be8f87ed1d659c3f47a1fed46f77be7dcc7 | 1,387 | py | Python | run.py | ITJoker233/RaspberryPiWebSDK | ae24ec9a84ed34efcccca59055bdf097a42c3409 | [
"MIT"
] | 4 | 2020-11-15T05:38:02.000Z | 2022-03-07T12:19:37.000Z | run.py | ITJoker233/RaspberryPiWebSDK | ae24ec9a84ed34efcccca59055bdf097a42c3409 | [
"MIT"
] | null | null | null | run.py | ITJoker233/RaspberryPiWebSDK | ae24ec9a84ed34efcccca59055bdf097a42c3409 | [
"MIT"
] | null | null | null | import uvicorn
from datetime import datetime
from typing import List, Optional
from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from pydantic import BaseModel, EmailStr
app = FastAPI()
_version_ = '1.0.0'
response = {
'root':{'data'... | 27.196078 | 114 | 0.669791 |
7ab7bec0f8bfba5a0308d1a7185df4375a786d60 | 3,387 | py | Python | hs_access_control/tests/test_group_public.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 178 | 2015-01-08T23:03:36.000Z | 2022-03-03T13:56:45.000Z | hs_access_control/tests/test_group_public.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 4,125 | 2015-01-01T14:26:15.000Z | 2022-03-31T16:38:55.000Z | hs_access_control/tests/test_group_public.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 53 | 2015-03-15T17:56:51.000Z | 2022-03-17T00:32:16.000Z | from django.test import TestCase
from django.contrib.auth.models import Group
from hs_access_control.models import PrivilegeCodes
from hs_core import hydroshare
from hs_core.testing import MockIRODSTestCaseMixin
from hs_access_control.tests.utilities import global_reset, is_equal_to_as_set
| 39.383721 | 89 | 0.631532 |
7ab8a9c5276a11c96afe25603d9046739df569e8 | 605 | py | Python | python/show_spec.py | nox-410/MusicAndMathClassProject | 457e800b05dcf1595f97e359f75d14bf1fcc35d4 | [
"Apache-2.0"
] | null | null | null | python/show_spec.py | nox-410/MusicAndMathClassProject | 457e800b05dcf1595f97e359f75d14bf1fcc35d4 | [
"Apache-2.0"
] | null | null | null | python/show_spec.py | nox-410/MusicAndMathClassProject | 457e800b05dcf1595f97e359f75d14bf1fcc35d4 | [
"Apache-2.0"
] | null | null | null | import sys
import numpy as np
from PIL import Image
if __name__ == '__main__':
spec_to_png(sys.argv[1], sys.argv[2])
| 28.809524 | 59 | 0.672727 |
7ab956a815b0bc9b3b82b8a3c52b0520c009dc57 | 610 | py | Python | server/src/weaverbird/backends/pandas_executor/steps/unpivot.py | JeremyJacquemont/weaverbird | e04ab6f9c8381986ab71078e5199ece7a875e743 | [
"BSD-3-Clause"
] | 54 | 2019-11-20T15:07:39.000Z | 2022-03-24T22:13:51.000Z | server/src/weaverbird/backends/pandas_executor/steps/unpivot.py | JeremyJacquemont/weaverbird | e04ab6f9c8381986ab71078e5199ece7a875e743 | [
"BSD-3-Clause"
] | 786 | 2019-10-20T11:48:37.000Z | 2022-03-23T08:58:18.000Z | server/src/weaverbird/backends/pandas_executor/steps/unpivot.py | JeremyJacquemont/weaverbird | e04ab6f9c8381986ab71078e5199ece7a875e743 | [
"BSD-3-Clause"
] | 10 | 2019-11-21T10:16:16.000Z | 2022-03-21T10:34:06.000Z | from pandas import DataFrame
from weaverbird.backends.pandas_executor.types import DomainRetriever, PipelineExecutor
from weaverbird.pipeline.steps import UnpivotStep
| 30.5 | 90 | 0.75082 |
7abaea9847e955cb5a546f8665d8382cf96f1721 | 1,610 | py | Python | dwitter/feed/urls.py | yonatan/dwitter | b3f6cabc41388afd8ca391591212c66e72c2c5bb | [
"Apache-2.0"
] | null | null | null | dwitter/feed/urls.py | yonatan/dwitter | b3f6cabc41388afd8ca391591212c66e72c2c5bb | [
"Apache-2.0"
] | null | null | null | dwitter/feed/urls.py | yonatan/dwitter | b3f6cabc41388afd8ca391591212c66e72c2c5bb | [
"Apache-2.0"
] | 2 | 2019-10-10T00:52:11.000Z | 2021-01-19T19:58:04.000Z | from django.conf.urls import url
from . import views
from .views import HotDweetFeed, NewDweetFeed, RandomDweetFeed
from .views import TopWeekDweetFeed, TopMonthDweetFeed, TopYearDweetFeed, TopAllDweetFeed
from .views import NewHashtagFeed, TopHashtagFeed
urlpatterns = [
url(r'^test/', HotDweetFeed.as_view()),
... | 40.25 | 97 | 0.659627 |
7abe28c365aac27b7165b4ab17f3803fad4552ae | 7,075 | py | Python | EDA_T-20WorldCup.py | Saurabh2509/T-20_World_Cup_EDA | 39c236b97f48155a535b0b0c7730eb70d020c261 | [
"MIT"
] | null | null | null | EDA_T-20WorldCup.py | Saurabh2509/T-20_World_Cup_EDA | 39c236b97f48155a535b0b0c7730eb70d020c261 | [
"MIT"
] | null | null | null | EDA_T-20WorldCup.py | Saurabh2509/T-20_World_Cup_EDA | 39c236b97f48155a535b0b0c7730eb70d020c261 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# ## Exploratory_Data_Analysis
# In[4]:
Image("E:\DataScience\Data_Center\T_20_World_cup_data\ICC_Men's_T20_World_Cup_2021.png")
# In[1]:
pwd
# In[2]:
import os
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
import plotly.express as px
... | 14.15 | 141 | 0.642686 |
7abf0dedd7528e5e8c658c425a2c635f12f405fd | 874 | py | Python | flask-api/api/models/rating.py | reciprep/reciprep-dev | 73c9e7084c7797ed7ce51c624f527c52ee3a5d87 | [
"MIT"
] | null | null | null | flask-api/api/models/rating.py | reciprep/reciprep-dev | 73c9e7084c7797ed7ce51c624f527c52ee3a5d87 | [
"MIT"
] | 5 | 2017-03-07T23:20:30.000Z | 2017-03-07T23:22:10.000Z | flask-api/api/models/rating.py | reciprep/reciprep-server | 73c9e7084c7797ed7ce51c624f527c52ee3a5d87 | [
"MIT"
] | null | null | null | import uuid
from sqlalchemy.ext.associationproxy import association_proxy
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.dialects.postgresql import ARRAY
from api import app, db, bcrypt
from api.models.user import User
from api.models.recipe import Recipe
| 33.615385 | 90 | 0.729977 |
7abf302d77b8306fe6c03216dc740599f58eee4e | 4,776 | py | Python | CH14/RBM_01.py | PacktPublishing/Artificial-Intelligence-By-Example-Second-Edition | 610682976a65dc75d9f2316776a83beb186b7870 | [
"MIT"
] | 33 | 2019-09-30T17:37:49.000Z | 2022-02-21T00:53:14.000Z | CH14/RBM_01.py | PacktPublishing/Artificial-Intelligence-By-Example-Second-Edition | 610682976a65dc75d9f2316776a83beb186b7870 | [
"MIT"
] | null | null | null | CH14/RBM_01.py | PacktPublishing/Artificial-Intelligence-By-Example-Second-Edition | 610682976a65dc75d9f2316776a83beb186b7870 | [
"MIT"
] | 26 | 2019-08-15T21:30:04.000Z | 2022-02-26T22:21:00.000Z | #Cognitive NPL (Natural Language Processing)
#Copyright 2020 Denis Rothman MIT License. READ LICENSE.
#Personality Profiling with a Restricted Botzmannm Machine (RBM)
import numpy as np
from random import randint
if __name__ == '__main__':
r = RBM(num_visible = 6, num_hidden = 2)
training_data = np.array... | 45.056604 | 189 | 0.637772 |
7ac27734e010014816c427be9ac60c65e722250c | 18,980 | py | Python | clrs/_src/baselines.py | fpjnijweide/clrs | 452964b491f38501e1e42edc216b606d83ffd780 | [
"Apache-2.0"
] | 1 | 2022-03-24T16:21:56.000Z | 2022-03-24T16:21:56.000Z | clrs/_src/baselines.py | fpjnijweide/clrs | 452964b491f38501e1e42edc216b606d83ffd780 | [
"Apache-2.0"
] | null | null | null | clrs/_src/baselines.py | fpjnijweide/clrs | 452964b491f38501e1e42edc216b606d83ffd780 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 DeepMind Technologies Limited. 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 ... | 36.998051 | 80 | 0.66844 |
8f81f4cfe87bac50670acf3a61610147f3e9fb75 | 341 | py | Python | eisenmann-backend/product/views/product_entry_view.py | RubenRodrigo/Eisenmann-Inventory | 5abb59a11d43987db3d1742b6f0978c6aa6ee81d | [
"MIT"
] | null | null | null | eisenmann-backend/product/views/product_entry_view.py | RubenRodrigo/Eisenmann-Inventory | 5abb59a11d43987db3d1742b6f0978c6aa6ee81d | [
"MIT"
] | null | null | null | eisenmann-backend/product/views/product_entry_view.py | RubenRodrigo/Eisenmann-Inventory | 5abb59a11d43987db3d1742b6f0978c6aa6ee81d | [
"MIT"
] | null | null | null | # DRF
from rest_framework import viewsets
# Models
from product.models.product_entry import ProductEntry
# Serializers
from product.serializers.product_entry_serializer import ProductEntrySerializer
| 24.357143 | 79 | 0.83871 |
8f825abc4f12e51fe3d60358fb12202956f9cf02 | 11,531 | py | Python | app/views.py | fisle/netflask | 155f131c87574cadbd96a33e9fde8e5116aa44c1 | [
"WTFPL"
] | 17 | 2015-06-18T04:55:54.000Z | 2021-07-26T04:43:45.000Z | app/views.py | fisle/netflask | 155f131c87574cadbd96a33e9fde8e5116aa44c1 | [
"WTFPL"
] | null | null | null | app/views.py | fisle/netflask | 155f131c87574cadbd96a33e9fde8e5116aa44c1 | [
"WTFPL"
] | 7 | 2015-11-16T23:52:18.000Z | 2019-09-15T17:40:23.000Z | # -*- coding: utf-8 -*-
from flask import render_template, flash, redirect, url_for, session, request, g, send_from_directory, send_file, Response, abort, safe_join, make_response
from flask.ext.login import login_user, logout_user, current_user, login_required
from sqlalchemy import exc
from app import app, db, lm
fro... | 35.69969 | 155 | 0.612523 |
8f830bdf8ea6b9fb08df352f98d824cf4af0553d | 9,837 | py | Python | tests/test_pep585_integration.py | loyada/typed-py | 8f946ed0cddb38bf7fd463a4c8111a592ccae31a | [
"MIT"
] | 14 | 2018-02-14T13:28:47.000Z | 2022-02-12T08:03:21.000Z | tests/test_pep585_integration.py | loyada/typed-py | 8f946ed0cddb38bf7fd463a4c8111a592ccae31a | [
"MIT"
] | 142 | 2017-11-22T14:02:33.000Z | 2022-03-23T21:26:29.000Z | tests/test_pep585_integration.py | loyada/typed-py | 8f946ed0cddb38bf7fd463a4c8111a592ccae31a | [
"MIT"
] | 4 | 2017-12-14T16:46:45.000Z | 2021-12-15T16:33:31.000Z | import typing
import sys
from typing import List
from pytest import raises, mark
from typedpy import (
Array,
Deserializer,
Integer,
SerializableField,
Serializer,
String,
Structure,
)
| 31.228571 | 88 | 0.610959 |
8f859e0dedf02e5bcbd6a37e5ecd8ed71a06265a | 8,682 | py | Python | src/ortec/scientific/benchmarks/loadbuilding/common/Requirements.py | ORTECScientificBenchmarks/ortec-scientific-benchmarks-loadbuilding | 8b1f5c58d930448a29195355d28fda856f4705b2 | [
"MIT"
] | 4 | 2018-05-23T22:48:42.000Z | 2020-04-21T10:21:30.000Z | src/ortec/scientific/benchmarks/loadbuilding/common/Requirements.py | ORTECScientificBenchmarks/ortec-scientific-benchmarks-loadbuilding | 8b1f5c58d930448a29195355d28fda856f4705b2 | [
"MIT"
] | null | null | null | src/ortec/scientific/benchmarks/loadbuilding/common/Requirements.py | ORTECScientificBenchmarks/ortec-scientific-benchmarks-loadbuilding | 8b1f5c58d930448a29195355d28fda856f4705b2 | [
"MIT"
] | null | null | null | from .utils import flatten
import pkgutil
import os
import importlib
# Used for checking whether all defaults match for all fields in the Constraints and Objectives files
itemkindDefaults = dict()
boxkindDefaults = dict()
palletkindDefaults = dict()
containerkindDefaults = dict()
loadingspaceDe... | 43.41 | 191 | 0.605045 |
8f8682388b990eefc83c6cd9ade9d11a4829e808 | 129 | py | Python | visualize/example/__init__.py | rentainhe/visualization | d9a8aac82ac6049b3fd59754c6ccf3bd60206218 | [
"MIT"
] | 169 | 2021-03-14T13:35:07.000Z | 2022-03-29T12:21:18.000Z | visualize/example/__init__.py | liwanzhao/visualization | 0cd047a02957019f9b551f016db21b5117e1cfcd | [
"MIT"
] | 6 | 2021-09-29T08:15:53.000Z | 2022-03-13T10:08:29.000Z | visualize/example/__init__.py | liwanzhao/visualization | 0cd047a02957019f9b551f016db21b5117e1cfcd | [
"MIT"
] | 31 | 2021-03-14T13:35:11.000Z | 2022-03-25T11:10:45.000Z | from .grid_attention_example import run_grid_attention_example
from .region_attention_example import run_region_attention_example | 64.5 | 66 | 0.930233 |