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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b6771c944826e5be81f3d435b7cc708dd5ba54c5 | 1,282 | py | Python | beautiful_soup/page_parser.py | akellermann97/college-dump | 5c82d93767038709ad71b8f212fdb6243eeb0aec | [
"MIT"
] | null | null | null | beautiful_soup/page_parser.py | akellermann97/college-dump | 5c82d93767038709ad71b8f212fdb6243eeb0aec | [
"MIT"
] | null | null | null | beautiful_soup/page_parser.py | akellermann97/college-dump | 5c82d93767038709ad71b8f212fdb6243eeb0aec | [
"MIT"
] | null | null | null | # Author: Alexander Kellermann Nieves
# Date: September 18th, 2018
# This is a placeholder file.
# In theory everything that has to do with beautifulsoup should find its way
# here in this file. This is where the parsing of the individual webpage should happen.
from bs4 import BeautifulSoup
import sys
import requests
... | 23.740741 | 87 | 0.691108 |
b67754e2a563ebf610f90b637e66cd040c06649a | 4,858 | py | Python | egs/spgispeech/ASR/local/compute_fbank_spgispeech.py | zhu-han/icefall | 9f6c748b3098e3e32c704c27c40ec31f2e9d376c | [
"Apache-2.0"
] | null | null | null | egs/spgispeech/ASR/local/compute_fbank_spgispeech.py | zhu-han/icefall | 9f6c748b3098e3e32c704c27c40ec31f2e9d376c | [
"Apache-2.0"
] | 1 | 2021-11-28T07:19:28.000Z | 2021-11-28T07:19:28.000Z | egs/spgispeech/ASR/local/compute_fbank_spgispeech.py | wgb14/icefall | ec5a112831b54471daa82ddb956112b88128577a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2022 Johns Hopkins University (authors: Desh Raj)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# 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... | 31.960526 | 75 | 0.634006 |
b67a14c44b65e4e41ccd782d03163d04e2009941 | 1,954 | py | Python | mapUtils.py | caranha/GDMC_experiments | 9cbef15c5fe2cb1703535586aded0cde5112cd3e | [
"MIT"
] | 14 | 2021-03-04T21:50:34.000Z | 2022-03-17T10:42:18.000Z | mapUtils.py | caranha/GDMC_experiments | 9cbef15c5fe2cb1703535586aded0cde5112cd3e | [
"MIT"
] | 57 | 2021-03-11T23:06:43.000Z | 2022-03-06T09:46:28.000Z | mapUtils.py | caranha/GDMC_experiments | 9cbef15c5fe2cb1703535586aded0cde5112cd3e | [
"MIT"
] | 12 | 2021-03-02T23:07:11.000Z | 2022-03-10T16:24:31.000Z | # ! /usr/bin/python3
"""### Provides tools for maps and heightmaps
This module contains functions to:
* Calculate a heightmap ideal for building
* Visualise numpy arrays
"""
__all__ = ['calcGoodHeightmap']
# __version__
import cv2
import matplotlib.pyplot as plt
import numpy as np
def calcGoodHeightmap(worldSlice):... | 29.606061 | 119 | 0.62129 |
b67a7082d8780fb7d33a02062987db61e0bd4271 | 152 | py | Python | vb2py/converter.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | vb2py/converter.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | vb2py/converter.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | """Wrapper around project converter to convert a project"""
from vb2py import projectconverter
if __name__ == '__main__':
projectconverter.main() | 21.714286 | 59 | 0.756579 |
b67b06ba8e6dd02cf4ca0a2c1aadbd51e315110b | 5,694 | py | Python | ComputingAllSpectralIntegrals.py | llimonta/Alaska2014 | 2022d37209719c665dc72a5b59fd58ed0b2a867b | [
"MIT"
] | null | null | null | ComputingAllSpectralIntegrals.py | llimonta/Alaska2014 | 2022d37209719c665dc72a5b59fd58ed0b2a867b | [
"MIT"
] | null | null | null | ComputingAllSpectralIntegrals.py | llimonta/Alaska2014 | 2022d37209719c665dc72a5b59fd58ed0b2a867b | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.lines import Line2D
from scipy import interpolate
from scipy.integrate import trapz
from scipy.optimize import curve_fit
import itertools
#dictionary for plotting
color_line = {'Iron':'k','Normal':'orange', 'Na-poor':'g','Na-enhanc... | 54.75 | 183 | 0.679487 |
b67b35eb818dc4e5baf99aad96bee0144538fed9 | 2,696 | py | Python | midnight_news/models.py | webadmin87/midnight | b60b3b257b4d633550b82a692f3ea3756c62a0a9 | [
"BSD-3-Clause"
] | 1 | 2015-11-20T12:42:39.000Z | 2015-11-20T12:42:39.000Z | midnight_news/models.py | webadmin87/midnight | b60b3b257b4d633550b82a692f3ea3756c62a0a9 | [
"BSD-3-Clause"
] | 3 | 2020-02-11T21:21:12.000Z | 2021-06-10T17:23:56.000Z | midnight_news/models.py | webadmin87/midnight | b60b3b257b4d633550b82a692f3ea3756c62a0a9 | [
"BSD-3-Clause"
] | 1 | 2015-11-04T09:23:31.000Z | 2015-11-04T09:23:31.000Z | from django.core.urlresolvers import reverse
from django.db import models
from midnight_main.models import BaseTree, Base, BreadCrumbsMixin, BaseComment
from ckeditor.fields import RichTextField
from django.utils.translation import ugettext_lazy as _
from sorl.thumbnail import ImageField
from mptt.fields import TreeMan... | 27.793814 | 124 | 0.706602 |
b67cca26a73f81dbfa87c94981ac89667eb242b4 | 1,704 | py | Python | Src/Morse.py | DragonixAlpha/Kal | 2ca941ae91ffc459c821ac1b9139dd96abfec6e2 | [
"MIT"
] | null | null | null | Src/Morse.py | DragonixAlpha/Kal | 2ca941ae91ffc459c821ac1b9139dd96abfec6e2 | [
"MIT"
] | null | null | null | Src/Morse.py | DragonixAlpha/Kal | 2ca941ae91ffc459c821ac1b9139dd96abfec6e2 | [
"MIT"
] | 1 | 2021-05-16T15:32:56.000Z | 2021-05-16T15:32:56.000Z | MORSE_CODE_DICT = { 'A':'.-', 'B':'-...',
'C':'-.-.', 'D':'-..', 'E':'.',
'F':'..-.', 'G':'--.', 'H':'....',
'I':'..', 'J':'.---', 'K':'-.-',
'L':'.-..', 'M':'--', 'N':'-.',
'O':'---', 'P':'.--.', 'Q':'--.-',
... | 36.255319 | 63 | 0.311033 |
b67d0855a8e02deaf2a8667f3239a5f520bd4458 | 90 | py | Python | Monke/__init__.py | Duck-sri/Monke | 7539929496d4ddb134f5d449e9d090c271457113 | [
"MIT"
] | null | null | null | Monke/__init__.py | Duck-sri/Monke | 7539929496d4ddb134f5d449e9d090c271457113 | [
"MIT"
] | 1 | 2021-11-08T04:56:05.000Z | 2021-11-08T04:56:05.000Z | Monke/__init__.py | Duck-sri/Monke | 7539929496d4ddb134f5d449e9d090c271457113 | [
"MIT"
] | null | null | null | from .block import Block
from .transaction import Transaction
from .account import Account | 30 | 36 | 0.844444 |
b680d6a7a0401cae1a0366d0b0929112d0d0fb48 | 2,482 | py | Python | Test_Files/test_velosity_controller.py | Jesse-Redford/SolidWorks_Pybullet_Integration | 68adebb31dc0695fc324409955812eaae3ca0821 | [
"MIT"
] | 5 | 2020-08-25T23:21:24.000Z | 2021-09-01T03:44:33.000Z | Test_Files/test_velosity_controller.py | Jesse-Redford/SolidWorks_Pybullet_Integration | 68adebb31dc0695fc324409955812eaae3ca0821 | [
"MIT"
] | null | null | null | Test_Files/test_velosity_controller.py | Jesse-Redford/SolidWorks_Pybullet_Integration | 68adebb31dc0695fc324409955812eaae3ca0821 | [
"MIT"
] | 1 | 2021-09-01T00:45:38.000Z | 2021-09-01T00:45:38.000Z | import pybullet
import pybullet_data
pybullet.connect(pybullet.GUI)
pybullet.resetSimulation()
pybullet.setAdditionalSearchPath(pybullet_data.getDataPath())
# Load robot URDF file created in solidworks
robot = pybullet.loadURDF(r'C:\Users\Jesse\Desktop\PyFluid\Assem_test8\urdf\Assem_test8.urdf',[0,0... | 41.366667 | 162 | 0.728848 |
b681ad1be8903a5b88b8eac811610fc6eea4c64b | 18,263 | py | Python | tpstorch/ml/optim.py | muhammadhasyim/tps-torch | 21201458d037649fa66794b993ccfba7d7414028 | [
"BSD-3-Clause"
] | 3 | 2021-05-05T12:09:45.000Z | 2021-05-17T18:39:54.000Z | tpstorch/ml/optim.py | muhammadhasyim/tps-torch | 21201458d037649fa66794b993ccfba7d7414028 | [
"BSD-3-Clause"
] | null | null | null | tpstorch/ml/optim.py | muhammadhasyim/tps-torch | 21201458d037649fa66794b993ccfba7d7414028 | [
"BSD-3-Clause"
] | null | null | null | import torch
from torch.optim import Optimizer
from torch.optim.optimizer import required
#Depending on PyTorch version, the name of the functional module
#May either have an underscore or not!
oldversion = False
try:
import torch.optim._functional as F
except:
import torch.optim.functional as F
oldversion... | 44.543902 | 170 | 0.550621 |
b68251a5fc4cc1f8749fd10656b208c4c8bed996 | 4,097 | py | Python | Analise de Dados/Arquivo Inicial - Aula 2.py | EduardoMdR/Aprendendo-Python | f36e3f3963f8e7abea319cf4b3f419305042c951 | [
"MIT"
] | null | null | null | Analise de Dados/Arquivo Inicial - Aula 2.py | EduardoMdR/Aprendendo-Python | f36e3f3963f8e7abea319cf4b3f419305042c951 | [
"MIT"
] | null | null | null | Analise de Dados/Arquivo Inicial - Aula 2.py | EduardoMdR/Aprendendo-Python | f36e3f3963f8e7abea319cf4b3f419305042c951 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Anlise de Dados com Python
#
# ### Desafio:
#
# Voc trabalha em uma empresa de telecom e tem clientes de vrios servios diferentes, entre os principais: internet e telefone.
#
# O problema que, analisando o histrico dos clientes dos ltimos anos, voc percebeu que a empresa e... | 32.259843 | 145 | 0.746644 |
b6831c245d2462543eceb355b1183fa96b6f48f9 | 2,759 | py | Python | research/cv/ntsnet/data_prepare.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/ntsnet/data_prepare.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/ntsnet/data_prepare.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... | 39.414286 | 101 | 0.576658 |
b683e527a05953ee9bd12970d53f000c8b55f886 | 934 | py | Python | gui/helpers/native_saver.py | intdata-bsc/idact-gui | 68df38dd231b5bd6ce45fd5e6f6450b9951efc50 | [
"MIT"
] | 3 | 2019-06-11T19:15:45.000Z | 2020-05-16T17:07:43.000Z | gui/helpers/native_saver.py | intdata-bsc/idact-gui | 68df38dd231b5bd6ce45fd5e6f6450b9951efc50 | [
"MIT"
] | 21 | 2019-06-24T19:47:41.000Z | 2020-02-22T14:39:46.000Z | gui/helpers/native_saver.py | intdata-bsc/idact-gui | 68df38dd231b5bd6ce45fd5e6f6450b9951efc50 | [
"MIT"
] | 1 | 2019-08-20T20:20:20.000Z | 2019-08-20T20:20:20.000Z | """ One of the helpers for the gui application.
Similar modules: class:`.DataProvider`, :class:`.ParameterSaver`,
:class:`.UiLoader`, :class:`.Worker`, :class:`.ConfigurationProvider`
"""
import json
import os
| 30.129032 | 81 | 0.650964 |
b6842494d1c29213418f229a2883d67c02999d44 | 543 | py | Python | aoc_2021/src/day1.py | akohen/AdventOfCode | ac4194670d8a2af5357cb1f2e1d3f37df1f0a13e | [
"MIT"
] | null | null | null | aoc_2021/src/day1.py | akohen/AdventOfCode | ac4194670d8a2af5357cb1f2e1d3f37df1f0a13e | [
"MIT"
] | null | null | null | aoc_2021/src/day1.py | akohen/AdventOfCode | ac4194670d8a2af5357cb1f2e1d3f37df1f0a13e | [
"MIT"
] | null | null | null | from pathlib import Path
if __name__ == "__main__":
with Path(__file__).parent.joinpath("../input/day1").open(encoding="UTF-8") as f:
VALUES = [int(i) for i in f]
print(f"Phase 1: {phase1(VALUES)}")
print(f"Phase 2: {phase2(VALUES)}")
| 27.15 | 90 | 0.59116 |
b68483bd58312eb317c7553af88ae9c0f3a75f5f | 1,432 | py | Python | src/human_lambdas/hl_cli.py | Human-Lambdas/human-lambdas | 9a2f2317f0c8dbfbfa88f3ba4994de7e6b2c4d50 | [
"Apache-2.0"
] | 25 | 2021-06-08T08:00:08.000Z | 2022-03-17T22:49:10.000Z | src/human_lambdas/hl_cli.py | Human-Lambdas/human-lambdas | 9a2f2317f0c8dbfbfa88f3ba4994de7e6b2c4d50 | [
"Apache-2.0"
] | null | null | null | src/human_lambdas/hl_cli.py | Human-Lambdas/human-lambdas | 9a2f2317f0c8dbfbfa88f3ba4994de7e6b2c4d50 | [
"Apache-2.0"
] | 5 | 2021-06-15T09:57:46.000Z | 2022-02-03T16:18:33.000Z | import os
import shutil
import subprocess
import sys
from pathlib import Path
from subprocess import PIPE
import click
cli.add_command(up)
cli.add_command(initdb)
if __name__ == "__main__":
cli()
| 22.030769 | 113 | 0.613128 |
b684ea846bdcddff0f795f27f74230ffc1d9b10e | 438 | py | Python | Testing/03_use_type_hint/type_hint_classes.py | t2y/python-study | 52a132ea600d4696164e540d8a8f8f5fc58e097a | [
"Apache-2.0"
] | 18 | 2016-08-15T00:24:44.000Z | 2020-11-30T15:11:52.000Z | Testing/03_use_type_hint/type_hint_classes.py | t2y/python-study | 52a132ea600d4696164e540d8a8f8f5fc58e097a | [
"Apache-2.0"
] | null | null | null | Testing/03_use_type_hint/type_hint_classes.py | t2y/python-study | 52a132ea600d4696164e540d8a8f8f5fc58e097a | [
"Apache-2.0"
] | 6 | 2016-09-28T10:47:03.000Z | 2020-10-14T10:20:06.000Z | # -*- coding: utf-8 -*-
# User-defined classes are written with just their own names.
x = MyClass() # type: MyClass
| 31.285714 | 71 | 0.664384 |
b685a21692f23fdc8db5e7831f14f94c8f3c0bf8 | 788 | py | Python | setup/settings/third_party/django_storages.py | asim3/django-template | 2639eea9cea9a48e08163898ec25860908ad0cdf | [
"MIT"
] | null | null | null | setup/settings/third_party/django_storages.py | asim3/django-template | 2639eea9cea9a48e08163898ec25860908ad0cdf | [
"MIT"
] | null | null | null | setup/settings/third_party/django_storages.py | asim3/django-template | 2639eea9cea9a48e08163898ec25860908ad0cdf | [
"MIT"
] | 1 | 2021-07-12T23:28:24.000Z | 2021-07-12T23:28:24.000Z | import os
AWS_S3_FILE_OVERWRITE = False
DEFAULT_FILE_STORAGE = 'backends.storages.PrivateMediaStorage'
# DEFAULT_FILE_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage'
STATICFILES_STORAGE = 'storages.backends.s3boto3.S3StaticStorage'
AWS_ACCESS_KEY_ID = os.environ.get('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY... | 26.266667 | 89 | 0.80203 |
b6861069d6eb9f5bbebb4e747de8688fa5393f07 | 10,444 | py | Python | cinder/tests/unit/volume/drivers/datacore/test_datacore_fc.py | alexisries/openstack-cinder | 7cc6e45c5ddb8bf771bdb01b867628e41761ae11 | [
"Apache-2.0"
] | 2 | 2019-05-24T14:13:50.000Z | 2019-05-24T14:21:13.000Z | cinder/tests/unit/volume/drivers/datacore/test_datacore_fc.py | vexata/cinder | 7b84c0842b685de7ee012acec40fb4064edde5e9 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | cinder/tests/unit/volume/drivers/datacore/test_datacore_fc.py | vexata/cinder | 7b84c0842b685de7ee012acec40fb4064edde5e9 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright (c) 2017 DataCore Software Corp. 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... | 40.638132 | 78 | 0.618058 |
b6862baa381a49c5ef1854fb8bd9b911475f5c62 | 1,580 | py | Python | tests/test_DepthEstimator.py | melkimble/OpticalRS | 54404f6c1e4e4a6f625e7b15e9f0489cb3600d79 | [
"BSD-3-Clause"
] | 17 | 2016-06-13T02:29:09.000Z | 2022-03-22T13:30:39.000Z | tests/test_DepthEstimator.py | melkimble/OpticalRS | 54404f6c1e4e4a6f625e7b15e9f0489cb3600d79 | [
"BSD-3-Clause"
] | 7 | 2017-09-02T12:50:49.000Z | 2019-02-14T18:32:52.000Z | tests/test_DepthEstimator.py | melkimble/OpticalRS | 54404f6c1e4e4a6f625e7b15e9f0489cb3600d79 | [
"BSD-3-Clause"
] | 14 | 2016-04-02T14:03:34.000Z | 2021-05-18T06:00:45.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_DepthEstimator
-------------------
pytest Tests for `OpticalRS.DepthEstimator` module. To run these tests, install
pytest and run `py.test` in this test directory.
"""
from OpticalRS.RasterDS import RasterDS
from OpticalRS.DepthEstimator import DepthEstimator
im... | 28.214286 | 90 | 0.675316 |
b68761f46ccae617ebf040a13bdb489cc61ffef6 | 1,513 | py | Python | generator/generator.py | luigig44/KryptoCards | bb059fcfce87530b7c2c032383f39140eee96f8b | [
"MIT"
] | null | null | null | generator/generator.py | luigig44/KryptoCards | bb059fcfce87530b7c2c032383f39140eee96f8b | [
"MIT"
] | null | null | null | generator/generator.py | luigig44/KryptoCards | bb059fcfce87530b7c2c032383f39140eee96f8b | [
"MIT"
] | 1 | 2021-11-06T02:19:58.000Z | 2021-11-06T02:19:58.000Z | from fractions import Fraction as frac
from solver import solve
from solver_cant import solve_cant
from difficulty import diff
from random import randint
import json
import webbrowser
import base64
| 23.640625 | 77 | 0.649703 |
b68858b3359450e821dd2966444e4abc86685776 | 26,328 | py | Python | test/test_say.py | andrewvaughan/ansible-message | 73b45fd9a09ff69a4221c898b575b1b17701b936 | [
"MIT"
] | 8 | 2018-02-27T11:33:33.000Z | 2020-07-11T23:59:33.000Z | test/test_say.py | andrewvaughan/ansible-prompt | 73b45fd9a09ff69a4221c898b575b1b17701b936 | [
"MIT"
] | 65 | 2017-11-01T20:38:30.000Z | 2017-12-02T00:19:28.000Z | test/test_say.py | andrewvaughan/ansible-message | 73b45fd9a09ff69a4221c898b575b1b17701b936 | [
"MIT"
] | 1 | 2017-11-30T22:02:17.000Z | 2017-11-30T22:02:17.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2017 Andrew Vaughan <hello@andrewvaughan.io>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without ... | 27.568586 | 118 | 0.564342 |
b6892bdce8585559ff0c5db21e9464b1c3caadc2 | 5,391 | py | Python | src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainBrief/cli/equal/golden1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainBrief/cli/equal/golden1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainBrief/cli/equal/golden1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
"bridge_group": {
"D": {
"bridge_domain": {
"D-w": {
"ac": {
"num_ac": 1,
"num_ac_up": 1
},
"id": 0,
"pbb": {
... | 28.675532 | 45 | 0.171026 |
b68cd9bab578328a565f2b6f75b5874b0fc24f5f | 511 | py | Python | opendata/tasks.py | OpenData-NC/open-data-nc | 5e1964d5c986f79055e6f018f0f2f9a15a3eaf99 | [
"MIT"
] | 5 | 2015-10-31T02:01:24.000Z | 2021-03-02T12:34:59.000Z | opendata/tasks.py | OpenData-NC/open-data-nc | 5e1964d5c986f79055e6f018f0f2f9a15a3eaf99 | [
"MIT"
] | null | null | null | opendata/tasks.py | OpenData-NC/open-data-nc | 5e1964d5c986f79055e6f018f0f2f9a15a3eaf99 | [
"MIT"
] | 4 | 2016-04-05T06:07:15.000Z | 2020-10-18T01:17:17.000Z | from celery import task
from django.core.mail import send_mail
| 26.894737 | 61 | 0.753425 |
b68d51d8887f49f000ef91611f35d1225cb82b19 | 43 | py | Python | array/fourSum.py | ZeddShi/alg-py | f491dbf92bf7ddf0ac159d1ccfa1f716e458699f | [
"MIT"
] | null | null | null | array/fourSum.py | ZeddShi/alg-py | f491dbf92bf7ddf0ac159d1ccfa1f716e458699f | [
"MIT"
] | null | null | null | array/fourSum.py | ZeddShi/alg-py | f491dbf92bf7ddf0ac159d1ccfa1f716e458699f | [
"MIT"
] | null | null | null | # | 10.75 | 26 | 0.651163 |
b68e577c70aec4c1412ef392ae994afd2e95b9a5 | 5,145 | py | Python | tests/test_observatory.py | Physarah/huntsman-pocs | df013f71f99a7da17d6b44915ebf6f301aba10fc | [
"MIT"
] | 3 | 2017-12-29T22:31:09.000Z | 2021-02-18T05:52:12.000Z | tests/test_observatory.py | Physarah/huntsman-pocs | df013f71f99a7da17d6b44915ebf6f301aba10fc | [
"MIT"
] | 432 | 2017-12-18T23:34:00.000Z | 2022-03-25T03:17:37.000Z | tests/test_observatory.py | Physarah/huntsman-pocs | df013f71f99a7da17d6b44915ebf6f301aba10fc | [
"MIT"
] | 20 | 2017-12-18T23:34:58.000Z | 2021-06-01T03:58:08.000Z | import os
import pytest
from astropy import units as u
from panoptes.utils.time import current_time
from panoptes.pocs.utils.location import create_location_from_config
from panoptes.pocs.scheduler import create_scheduler_from_config
from panoptes.pocs.mount import create_mount_simulator
from huntsman.pocs.core imp... | 32.770701 | 94 | 0.753936 |
b69044b38b8c0de78fd9faf58af7a2f0a382c92c | 1,024 | py | Python | AutoDonationDownload.py | tsheez/scaretocare2017 | cb3d2de1996d71a9a24caa2c98c3dd116082378a | [
"MIT"
] | null | null | null | AutoDonationDownload.py | tsheez/scaretocare2017 | cb3d2de1996d71a9a24caa2c98c3dd116082378a | [
"MIT"
] | null | null | null | AutoDonationDownload.py | tsheez/scaretocare2017 | cb3d2de1996d71a9a24caa2c98c3dd116082378a | [
"MIT"
] | null | null | null | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
from datetime import datetime
import glob, os
if __name__ == '__main__':
updateFrequency = 15 #seconds
driver = webdriver.Chrome(executable_path="C:\\Users\\KastreamAbdulJabbar\\Desktop\\chromedriver.exe")
driver.g... | 37.925926 | 106 | 0.62207 |
b690e2d5eb8179f10745b17c20d29455f2af53df | 3,316 | py | Python | store/adminshop/views/__init__.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | store/adminshop/views/__init__.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | store/adminshop/views/__init__.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Manuel Rodriguez <valle>
# @Date: 28-Sep-2017
# @Email: valle.mrv@gmail.com
# @Last modified by: valle
# @Last modified time: 31-Jan-2018
# @License: Apache license vesion 2.0
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_requir... | 31.580952 | 105 | 0.666466 |
b69231e529d3179611550965950d64e9a25ebb98 | 378 | py | Python | dmriprep/workflows/dwi/conversions/nii_to_mif/edges.py | GalBenZvi/dmriprep | 7c4c0e1b01e3d941a7fafcbb6b001605cb1f2b0b | [
"Apache-2.0"
] | null | null | null | dmriprep/workflows/dwi/conversions/nii_to_mif/edges.py | GalBenZvi/dmriprep | 7c4c0e1b01e3d941a7fafcbb6b001605cb1f2b0b | [
"Apache-2.0"
] | 1 | 2022-03-22T13:22:18.000Z | 2022-03-22T13:22:18.000Z | dmriprep/workflows/dwi/conversions/nii_to_mif/edges.py | GalBenZvi/dmriprep | 7c4c0e1b01e3d941a7fafcbb6b001605cb1f2b0b | [
"Apache-2.0"
] | null | null | null | INPUT_TO_DWI_CONVERSION_EDGES = [("dwi_file", "in_file")]
INPUT_TO_FMAP_CONVERSION_EDGES = [("fmap_file", "in_file")]
LOCATE_ASSOCIATED_TO_COVERSION_EDGES = [
("json_file", "json_import"),
("bvec_file", "in_bvec"),
("bval_file", "in_bval"),
]
DWI_CONVERSION_TO_OUTPUT_EDGES = [("out_file", "dwi_file")]
FMAP... | 34.363636 | 61 | 0.719577 |
b694cfd033eef454494396e76bf47a25a6f499c5 | 4,824 | py | Python | src/utils.py | sdat2/rotunno87 | f4eca2759b25f801d37ac684066d3f7ead7129b1 | [
"MIT"
] | null | null | null | src/utils.py | sdat2/rotunno87 | f4eca2759b25f801d37ac684066d3f7ead7129b1 | [
"MIT"
] | null | null | null | src/utils.py | sdat2/rotunno87 | f4eca2759b25f801d37ac684066d3f7ead7129b1 | [
"MIT"
] | null | null | null | """General project util functions"""
from typing import Callable
import inspect
import time
from functools import wraps
from sys import getsizeof
def timeit(method: Callable) -> Callable:
"""timeit is a wrapper for performance analysis which should
return the time taken for a function to run. Alters `log_time... | 36.270677 | 88 | 0.609453 |
b6959bc8cb8450bfe80ee454d1ad09b6d38232d1 | 4,230 | py | Python | src/classifier_evaluator/visualisations/roc_plot.py | yitistica/classifier_evaluator | 9d5987eda467af18b4b40c480353cbe0bd49ee3e | [
"MIT"
] | 1 | 2021-07-21T17:43:23.000Z | 2021-07-21T17:43:23.000Z | src/classifier_evaluator/visualisations/roc_plot.py | yitistica/classifier_evaluator | 9d5987eda467af18b4b40c480353cbe0bd49ee3e | [
"MIT"
] | null | null | null | src/classifier_evaluator/visualisations/roc_plot.py | yitistica/classifier_evaluator | 9d5987eda467af18b4b40c480353cbe0bd49ee3e | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
from classifier_evaluator.metrics import roc, roc_auc
from classifier_evaluator.pre_process import data_type_converter
# setting standard plot size:
_DEFAULT_FIGURE_SIZE = (10, 10)
_DEFAULT_COLOR_PALETTE = "jet"
def plot_roc(roc_dict: dict,... | 40.673077 | 119 | 0.613239 |
b69602368fed215695fc035838212d570896136d | 24,285 | py | Python | ppgan/datasets/lapstyle_dataset.py | JackMcCoy/PaddleGAN | a89fa7a1d7edd6a0e227c2941f0641700b20fe70 | [
"Apache-2.0"
] | null | null | null | ppgan/datasets/lapstyle_dataset.py | JackMcCoy/PaddleGAN | a89fa7a1d7edd6a0e227c2941f0641700b20fe70 | [
"Apache-2.0"
] | null | null | null | ppgan/datasets/lapstyle_dataset.py | JackMcCoy/PaddleGAN | a89fa7a1d7edd6a0e227c2941f0641700b20fe70 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 44.806273 | 169 | 0.637389 |
b696a4c01809e089674909ac16fa88da02e3fab0 | 1,540 | py | Python | config/almacen_api_config.py | xyla-io/almacen_api | 07497c64e6d1d52296a20dde106bc1af36f27114 | [
"MIT"
] | null | null | null | config/almacen_api_config.py | xyla-io/almacen_api | 07497c64e6d1d52296a20dde106bc1af36f27114 | [
"MIT"
] | null | null | null | config/almacen_api_config.py | xyla-io/almacen_api | 07497c64e6d1d52296a20dde106bc1af36f27114 | [
"MIT"
] | null | null | null | almacen_api_config = {
'debug': {
'name': 'almacen_api',
'database': 'stage_01',
'debug': True,
'app': {
'DEBUG': True,
'UPLOAD_FOLDER': '/tmp',
},
'run': {
# 'ssl_context': ('ssl/cert.pem', 'ssl/key.pem'),
'port': 8000,
},
'app_tokens': {
'TOKEN': {
... | 21.09589 | 60 | 0.448701 |
b696f938f29a4c19d54a8077345c42752418e2da | 1,443 | py | Python | python-fundamentals/day-9-modules/example-1.py | laminsawo/python-365-days | 7d63e88ad2bbaa7b9bd0475f078e0164cc9b485c | [
"MIT"
] | null | null | null | python-fundamentals/day-9-modules/example-1.py | laminsawo/python-365-days | 7d63e88ad2bbaa7b9bd0475f078e0164cc9b485c | [
"MIT"
] | 1 | 2020-01-06T00:28:32.000Z | 2020-01-06T00:28:32.000Z | python-fundamentals/day-9-modules/example-1.py | laminsawo/python-365-days | 7d63e88ad2bbaa7b9bd0475f078e0164cc9b485c | [
"MIT"
] | 1 | 2020-06-11T19:01:53.000Z | 2020-06-11T19:01:53.000Z | # Import and use a module
# There are 3 ways to import modules
# Example 1: Import the entire module
import random
# To use this module, we can...
rand_number = random.randrange(1,10)
print(rand_number)
# Note: 'random' is the module and 'randrange' is the function
# This example randomly selects a number... | 28.86 | 100 | 0.679834 |
b6971975b9eaf770ff217af0628bef84c7d15d9a | 611 | py | Python | modelconfig.py | divyanshrm/Polyth-Net-Classification-of-Polythene-Bags-Using-Deep-Dearning | f52c0887cb12cf1322a37d1042917be5d679c725 | [
"MIT"
] | null | null | null | modelconfig.py | divyanshrm/Polyth-Net-Classification-of-Polythene-Bags-Using-Deep-Dearning | f52c0887cb12cf1322a37d1042917be5d679c725 | [
"MIT"
] | null | null | null | modelconfig.py | divyanshrm/Polyth-Net-Classification-of-Polythene-Bags-Using-Deep-Dearning | f52c0887cb12cf1322a37d1042917be5d679c725 | [
"MIT"
] | null | null | null | from tensorflow.keras.applications.xception import Xception
import tensorflow.keras as k
| 38.1875 | 82 | 0.769231 |
b6974f70a4274038fd3ebb9b582106bcf0534bf5 | 700 | py | Python | scripts/tags/generate_mapstyle.py | rinigus/geocoder-nlp | 9fa6fd16121caf70bbbe597c4dcc46e40d5655a2 | [
"MIT"
] | 16 | 2017-01-21T08:01:00.000Z | 2022-02-15T20:32:45.000Z | scripts/tags/generate_mapstyle.py | rinigus/geocoder-nlp | 9fa6fd16121caf70bbbe597c4dcc46e40d5655a2 | [
"MIT"
] | 58 | 2017-01-08T22:05:00.000Z | 2022-03-23T17:07:38.000Z | scripts/tags/generate_mapstyle.py | rinigus/geocoder-nlp | 9fa6fd16121caf70bbbe597c4dcc46e40d5655a2 | [
"MIT"
] | 2 | 2017-09-01T20:51:44.000Z | 2018-08-01T16:20:17.000Z | #!/usr/bin/env python3
import sqlite3
db = sqlite3.connect('taginfo-db.db')
c = db.cursor()
mapost = ""
whitelist = ""
keyvals = []
for r in c.execute("select key,value from tags where key='shop' order by count_all desc limit 50"):
key, value = r
# no need for these
if value in ['yes', 'no']:
c... | 20 | 99 | 0.555714 |
b697a379e0ad30af4d07d89e9f3dc6d4f29fdea6 | 1,181 | py | Python | day6-4[twitter&W2V].py | cutz-j/Python-for-data-analysis | f23f94ae2b489dd13f909b425bbede3537d8849c | [
"MIT"
] | null | null | null | day6-4[twitter&W2V].py | cutz-j/Python-for-data-analysis | f23f94ae2b489dd13f909b425bbede3537d8849c | [
"MIT"
] | null | null | null | day6-4[twitter&W2V].py | cutz-j/Python-for-data-analysis | f23f94ae2b489dd13f909b425bbede3537d8849c | [
"MIT"
] | null | null | null | import codecs
from bs4 import BeautifulSoup
from konlpy.tag import Twitter
from gensim.models import word2vec
# W2V
fp=codecs.open("D:/DataAnalysis/BEXX0003.txt", "r", encoding='utf-16')
soup=BeautifulSoup(fp, 'html.parser')
#print(soup)
# html > text
body=soup.select_one("body > text")
text=body.getText()
twit=Twi... | 25.673913 | 134 | 0.678239 |
b6988b45fdc7a4b35d2172399d969e8f908dea42 | 4,562 | py | Python | python_code_tips/functions_example/functions-before.py | VLTSankalpa/python_networking | 653662da9ae3fdd49b118c3dbd4d3b4fdf062d17 | [
"MIT"
] | null | null | null | python_code_tips/functions_example/functions-before.py | VLTSankalpa/python_networking | 653662da9ae3fdd49b118c3dbd4d3b4fdf062d17 | [
"MIT"
] | null | null | null | python_code_tips/functions_example/functions-before.py | VLTSankalpa/python_networking | 653662da9ae3fdd49b118c3dbd4d3b4fdf062d17 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
import requests
import json
import argparse
# Diable InsecureRequestWarning
requests.packages.urllib3.disable_warnings(
requests.packages.urllib3.exceptions.InsecureRequestWarning
)
# DevNet Always-On Sandbox DNA Center
# https://devnetsandbox.cisco.com/RM/Diagram/Index/471eb73... | 30.824324 | 109 | 0.679965 |
b6991871b344a5cf774115d7f86c5484afbe76ab | 1,064 | py | Python | examples/data/gen_olf_input.py | neurokernel/sensory_int | 1e9f690a3e09812f441313433252eecdfc33f78c | [
"BSD-3-Clause"
] | null | null | null | examples/data/gen_olf_input.py | neurokernel/sensory_int | 1e9f690a3e09812f441313433252eecdfc33f78c | [
"BSD-3-Clause"
] | null | null | null | examples/data/gen_olf_input.py | neurokernel/sensory_int | 1e9f690a3e09812f441313433252eecdfc33f78c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Generate sample olfactory model stimulus.
"""
import numpy as np
import h5py
osn_num = 1375
dt = 1e-4 # time step
Ot = 2000 # number of data point during reset period
Rt = 1000 # number of data point during odor delivery period
#Nt = 4*Ot + 3*Rt # number of data points in time
#Nt = 10000... | 26.6 | 60 | 0.652256 |
b69a29635386ebc54f40e856a32a9b0a37336f38 | 1,702 | py | Python | 08-def-type-hints/comparable/mymax.py | eumiro/example-code-2e | 93bb4407fac7ecf56b4f3ca87f3cb717a9ed3a56 | [
"MIT"
] | null | null | null | 08-def-type-hints/comparable/mymax.py | eumiro/example-code-2e | 93bb4407fac7ecf56b4f3ca87f3cb717a9ed3a56 | [
"MIT"
] | null | null | null | 08-def-type-hints/comparable/mymax.py | eumiro/example-code-2e | 93bb4407fac7ecf56b4f3ca87f3cb717a9ed3a56 | [
"MIT"
] | null | null | null | # tag::MYMAX_TYPES[]
from typing import Protocol, Any, TypeVar, overload, Callable, Iterable, Union
_T = TypeVar('_T')
_CT = TypeVar('_CT', bound=_Comparable)
_DT = TypeVar('_DT')
MISSING = object()
EMPTY_MSG = 'max() arg is an empty sequence'
# end::MYMAX_TYPES[]
# tag::MYMAX[]
def max(first, *args, key=None, defaul... | 28.366667 | 78 | 0.583431 |
b69c4b997fca33a3fb149b9f7a489a2143e12900 | 608 | py | Python | airnow/api.py | briandconnelly/airnow-py | ebe1b0b18b77038aa3473c5814a34b5eeb908bb6 | [
"MIT"
] | 1 | 2020-09-22T15:23:59.000Z | 2020-09-22T15:23:59.000Z | airnow/api.py | briandconnelly/airnow-py | ebe1b0b18b77038aa3473c5814a34b5eeb908bb6 | [
"MIT"
] | 6 | 2020-09-21T16:01:20.000Z | 2020-09-25T01:01:26.000Z | airnow/api.py | briandconnelly/airnow-py | ebe1b0b18b77038aa3473c5814a34b5eeb908bb6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import requests
def get_airnow_data(endpoint: str, **kwargs) -> dict:
"""Query the AirNow API and return the contents
:param str endpoint: AirNow API endpoint (e.g., "/aq/observation/zipCode/current")
Additional named arguments are passed on as query parameters.
All queries ... | 32 | 87 | 0.694079 |
b69d04502a6f8d71ba5ee9a05c5959dfeda35999 | 1,093 | py | Python | Auths/models.py | cool199966/AccountManager | 7026e605482c59c53796be62125dc298bc3104ef | [
"MIT"
] | 1 | 2022-03-29T13:54:42.000Z | 2022-03-29T13:54:42.000Z | Auths/models.py | cool-develope/AccountManager | 7026e605482c59c53796be62125dc298bc3104ef | [
"MIT"
] | null | null | null | Auths/models.py | cool-develope/AccountManager | 7026e605482c59c53796be62125dc298bc3104ef | [
"MIT"
] | null | null | null | from django.db import models
import datetime
from django.contrib.auth.models import (
BaseUserManager, AbstractBaseUser, Group, PermissionsMixin
) | 23.76087 | 60 | 0.756633 |
b69df960f978449af134514abb13efeb1606c0bd | 3,956 | py | Python | ctapipe/calib/camera/tests/test_r1.py | mpecimotika/ctapipe | ffd7930921f7139b761fbf1208da16dd302e97a6 | [
"BSD-3-Clause"
] | null | null | null | ctapipe/calib/camera/tests/test_r1.py | mpecimotika/ctapipe | ffd7930921f7139b761fbf1208da16dd302e97a6 | [
"BSD-3-Clause"
] | null | null | null | ctapipe/calib/camera/tests/test_r1.py | mpecimotika/ctapipe | ffd7930921f7139b761fbf1208da16dd302e97a6 | [
"BSD-3-Clause"
] | null | null | null | import pytest
from numpy.testing import assert_almost_equal, assert_array_equal, \
assert_array_almost_equal
from ctapipe.calib.camera.r1 import (
CameraR1CalibratorFactory,
HESSIOR1Calibrator,
TargetIOR1Calibrator,
NullR1Calibrator
)
from ctapipe.io.eventsource import EventSource
from ctapipe.io.s... | 30.430769 | 75 | 0.75455 |
b69e51255181c2782572fe8073ba2966e5ea33ec | 1,320 | py | Python | mini_imagenet.py | dingmyu/prototypical-network-pytorch | dbb6fbf784a5bd209896865166fffdefd8daedf5 | [
"MIT"
] | null | null | null | mini_imagenet.py | dingmyu/prototypical-network-pytorch | dbb6fbf784a5bd209896865166fffdefd8daedf5 | [
"MIT"
] | null | null | null | mini_imagenet.py | dingmyu/prototypical-network-pytorch | dbb6fbf784a5bd209896865166fffdefd8daedf5 | [
"MIT"
] | null | null | null | import os
import os.path as osp
from PIL import Image
from torch.utils.data import Dataset
from torchvision import transforms
| 26.4 | 74 | 0.559848 |
b69fbe77289f7235767b0bd63da00b1ed896dee8 | 459 | py | Python | CursoEmVideo-Python3-Mundo1/desafio035.py | martinsnathalia/Python | 0cabf894dc9c0d0307bd1136831e011580b497c5 | [
"MIT"
] | null | null | null | CursoEmVideo-Python3-Mundo1/desafio035.py | martinsnathalia/Python | 0cabf894dc9c0d0307bd1136831e011580b497c5 | [
"MIT"
] | null | null | null | CursoEmVideo-Python3-Mundo1/desafio035.py | martinsnathalia/Python | 0cabf894dc9c0d0307bd1136831e011580b497c5 | [
"MIT"
] | null | null | null | # Desenvolva um programa que leia o comprimento de trs retas e diga ao usurio se elas podem ou no formar um tringulo.
print('Suas retas formam um tringulo?')
r1 = float(input('Digite a primeira reta: '))
r2 = float(input('Digite a segunda reta: '))
r3 = float(input('Digite a terceira reta: '))
if r1 < (r2+r3) and r2 ... | 38.25 | 121 | 0.690632 |
b6a04a0f526b072cb08a7b68cb313fe983569b9f | 185 | py | Python | Vamei/function/function2.py | YangPhy/learnPython | 5507fa1a0d2878fc663d62509af8ff959955f822 | [
"MIT"
] | 5 | 2020-05-18T06:54:52.000Z | 2021-05-29T23:17:41.000Z | Vamei/function/function2.py | YangPhy/learnPython | 5507fa1a0d2878fc663d62509af8ff959955f822 | [
"MIT"
] | null | null | null | Vamei/function/function2.py | YangPhy/learnPython | 5507fa1a0d2878fc663d62509af8ff959955f822 | [
"MIT"
] | 1 | 2020-05-17T22:47:49.000Z | 2020-05-17T22:47:49.000Z | a=1
print (change_integer(a))
print (a)
b=[1,2,3]
print (change_list(b))
print (b)
| 10.277778 | 25 | 0.594595 |
b6a123615ec1f56e343c4784fac6733ad1ae088c | 160 | py | Python | Problems/Minimum and maximum/task.py | gabrielizalo/jetbrains-academy-python-coffee-machine | e22cb502f7998855ef4afbc4ef7ecb8226418225 | [
"MIT"
] | null | null | null | Problems/Minimum and maximum/task.py | gabrielizalo/jetbrains-academy-python-coffee-machine | e22cb502f7998855ef4afbc4ef7ecb8226418225 | [
"MIT"
] | null | null | null | Problems/Minimum and maximum/task.py | gabrielizalo/jetbrains-academy-python-coffee-machine | e22cb502f7998855ef4afbc4ef7ecb8226418225 | [
"MIT"
] | null | null | null | number_1 = int(input())
number_2 = int(input())
if number_1 >= number_2:
print(number_1)
print(number_2)
else:
print(number_2)
print(number_1)
| 16 | 24 | 0.6625 |
b6a171bc0ccc76a300355ffe2b1eb96c80e3cf48 | 5,130 | py | Python | app/backend/models/room.py | kz3ko/smart-home-heating-simulation | f496bf55d2d0f4788e204edcbc71defe7fff7c60 | [
"MIT"
] | 1 | 2021-12-20T17:34:00.000Z | 2021-12-20T17:34:00.000Z | app/backend/models/room.py | kz3ko/smart-home-heating-simulation | f496bf55d2d0f4788e204edcbc71defe7fff7c60 | [
"MIT"
] | null | null | null | app/backend/models/room.py | kz3ko/smart-home-heating-simulation | f496bf55d2d0f4788e204edcbc71defe7fff7c60 | [
"MIT"
] | null | null | null | from __future__ import annotations
from copy import deepcopy
from dataclasses import dataclass, field
from typing import Optional
from models.backyard import Backyard
from models.heater import Heater
| 38 | 109 | 0.624366 |
b6a3abccc0d7713945f6ef002d5895fbeb4df2ff | 1,231 | py | Python | coding patterns/k-way merge/k_smallest_number_in_sorted_matrix.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/k-way merge/k_smallest_number_in_sorted_matrix.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/k-way merge/k_smallest_number_in_sorted_matrix.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null |
"""
[H] Given an N * NNN matrix where each row and column is sorted in ascending order,
find the Kth smallest element in the matrix.
Example 1:
Input: Matrix=[
[2, 6, 8],
[3, 7, 10],
[5, 8, 11]
],
K=5
Output: 7
Explanation: The 5th smallest number in the matrix is 7.
"""
from heapq import *... | 21.982143 | 109 | 0.595451 |
b6a41c2e1b6a583c2000ea9bbd29c7b7001a79b0 | 148,811 | py | Python | suncasa/suncasatasks/ptclean6.py | wyq24/suncasa | e6ed6d8b9bd2186c4af6d0354d03af5fff9aef7a | [
"BSD-2-Clause"
] | 2 | 2018-02-12T09:34:23.000Z | 2019-07-16T18:25:12.000Z | suncasa/suncasatasks/ptclean6.py | wulinhui1/suncasa-src | 1f94aaabaf6a3911fa532648ec6676a221553436 | [
"BSD-2-Clause"
] | 26 | 2016-11-09T17:11:45.000Z | 2021-08-20T13:41:50.000Z | suncasa/suncasatasks/ptclean6.py | wulinhui1/suncasa-src | 1f94aaabaf6a3911fa532648ec6676a221553436 | [
"BSD-2-Clause"
] | 17 | 2016-10-27T18:35:46.000Z | 2021-08-03T05:33:57.000Z | ##################### generated by xml-casa (v2) from ptclean6.xml ##################
##################### 6a89d05724a14fedd7b8ceb75d841936 ##############################
from __future__ import absolute_import
import numpy
from casatools.typecheck import CasaValidator as _val_ctor
_pc = _val_ctor( )
from casatools.coe... | 88.053846 | 4,828 | 0.493774 |
b6a48b582a5756fac16d812cc023a3970ca1e15b | 9,715 | py | Python | earthvision/datasets/drone_deploy.py | otivedani/earth-vision | 52d1f1019f47c4611345703d381b9cda960afa7f | [
"MIT"
] | null | null | null | earthvision/datasets/drone_deploy.py | otivedani/earth-vision | 52d1f1019f47c4611345703d381b9cda960afa7f | [
"MIT"
] | null | null | null | earthvision/datasets/drone_deploy.py | otivedani/earth-vision | 52d1f1019f47c4611345703d381b9cda960afa7f | [
"MIT"
] | null | null | null | """Class for Drone Deploy - Semantic Segmentation."""
from PIL import Image
import sys
import os
import numpy as np
import random
import cv2
from typing import Any, Callable, Optional, Tuple
from .vision import VisionDataset
from earthvision.constants.DroneDeploy.config import (
train_ids,
val_ids,
test_id... | 32.168874 | 107 | 0.602676 |
b6a4c2fc1d4f8c281ad941ff066addcc5b88b1da | 1,525 | py | Python | IT77A _assistant.py | JasinAlAmin/Owl-Chatbot | c016f8037c7c4c2386429d07ddd6054136caad54 | [
"Unlicense"
] | null | null | null | IT77A _assistant.py | JasinAlAmin/Owl-Chatbot | c016f8037c7c4c2386429d07ddd6054136caad54 | [
"Unlicense"
] | null | null | null | IT77A _assistant.py | JasinAlAmin/Owl-Chatbot | c016f8037c7c4c2386429d07ddd6054136caad54 | [
"Unlicense"
] | null | null | null | import speech_recognition as sr
import pyttsx3
import pywhatkit
import datatime
import wikipedia
import pyjokes
from googlesearch import search
listener = sr.Recognizer()
engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setPropert('voice',voices[1].id)
except:
pass
return command
def ... | 24.206349 | 51 | 0.655738 |
b6a50f3337ebf02efe8d161b7e75d578ff634d7b | 4,725 | py | Python | experiment-3/make_design_files_for_power_analyses.py | NBCLab/power-replication | 7a938cac6fd132f8cbd76535255680aeb2e550cb | [
"Apache-2.0"
] | 1 | 2021-12-20T13:30:23.000Z | 2021-12-20T13:30:23.000Z | experiment-3/make_design_files_for_power_analyses.py | NBCLab/power-replication | 7a938cac6fd132f8cbd76535255680aeb2e550cb | [
"Apache-2.0"
] | 14 | 2020-12-21T15:58:45.000Z | 2022-03-16T22:20:25.000Z | experiment-3/make_design_files_for_power_analyses.py | NBCLab/power-replication | 7a938cac6fd132f8cbd76535255680aeb2e550cb | [
"Apache-2.0"
] | null | null | null | """
"""
import os.path as op
from glob import glob
from os import mkdir
from shutil import copyfile
| 29.347826 | 87 | 0.593439 |
b6a6d591db83048f3b55342a265c56506198ac3d | 1,371 | py | Python | chapter07/address_book_import.py | gothedistance/python-book | 18d82b96e8336e2a26608e25b2c2424e19dab2a3 | [
"MIT"
] | 17 | 2016-08-12T13:15:43.000Z | 2021-03-22T13:35:33.000Z | chapter07/address_book_import.py | gothedistance/python-book | 18d82b96e8336e2a26608e25b2c2424e19dab2a3 | [
"MIT"
] | null | null | null | chapter07/address_book_import.py | gothedistance/python-book | 18d82b96e8336e2a26608e25b2c2424e19dab2a3 | [
"MIT"
] | 13 | 2016-08-12T13:31:47.000Z | 2021-01-28T11:06:48.000Z |
ab = AddressBook()
ab.import_data('sample100.csv')
print('->' + str(len(ab.person_list)) + ' ')
ab.search('')
| 26.365385 | 75 | 0.548505 |
b6a6e515ce705443cef418c82f3ade47874333d5 | 788 | py | Python | app/__init__.py | mkorcha/CoyoteLab | 8932d9cc35fb840e468368c2e1249ca4811b59d0 | [
"MIT"
] | 2 | 2016-12-01T00:10:46.000Z | 2016-12-31T19:18:35.000Z | app/__init__.py | mkorcha/CoyoteLab | 8932d9cc35fb840e468368c2e1249ca4811b59d0 | [
"MIT"
] | null | null | null | app/__init__.py | mkorcha/CoyoteLab | 8932d9cc35fb840e468368c2e1249ca4811b59d0 | [
"MIT"
] | null | null | null | import os
from flask import Flask
from flask_kvsession import KVSessionExtension
from flask_mail import Mail
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
from flask_wtf.csrf import CsrfProtect
db = SQLAlchemy()
migrate = Migrate()
csrf = CsrfProtect()
session = KVSessionExtension()
mail ... | 21.297297 | 60 | 0.752538 |
b6a80ec6a47780626f32900e8399bb27a6cf7c7c | 6,063 | py | Python | data/get_cfmid_candidates.py | aalto-ics-kepaco/lcms2struct_exp | 5baa3edd0e58d24f739efd4086031f6fbdba6ad9 | [
"MIT"
] | null | null | null | data/get_cfmid_candidates.py | aalto-ics-kepaco/lcms2struct_exp | 5baa3edd0e58d24f739efd4086031f6fbdba6ad9 | [
"MIT"
] | null | null | null | data/get_cfmid_candidates.py | aalto-ics-kepaco/lcms2struct_exp | 5baa3edd0e58d24f739efd4086031f6fbdba6ad9 | [
"MIT"
] | null | null | null | ####
#
# The MIT License (MIT)
#
# Copyright 2021 Eric Bach <eric.bach@aalto.fi>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights... | 41.244898 | 119 | 0.639452 |
b6a829207d8c15d0acfe6594c7b505a0ec551a5f | 7,470 | py | Python | View/old/MainWindow.py | logisticAKB/course-paper1 | 8455d5148e0871912791516126819b0d0b51c7c1 | [
"MIT"
] | 1 | 2021-03-13T17:05:02.000Z | 2021-03-13T17:05:02.000Z | View/old/MainWindow.py | logisticAKB/LandmarkRecognition | 8455d5148e0871912791516126819b0d0b51c7c1 | [
"MIT"
] | null | null | null | View/old/MainWindow.py | logisticAKB/LandmarkRecognition | 8455d5148e0871912791516126819b0d0b51c7c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'MainWindow.ui'
#
# Created by: PyQt5 UI code generator 5.13.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication... | 47.278481 | 108 | 0.693039 |
b6a9b30cd75062dc7b09f7acd6378bcfffa85604 | 2,472 | py | Python | scripts/extract_frequencies.py | hjortnaes/congra_parser | c09a726a9c234a449d0fd6a9f2fddefaca395741 | [
"MIT"
] | null | null | null | scripts/extract_frequencies.py | hjortnaes/congra_parser | c09a726a9c234a449d0fd6a9f2fddefaca395741 | [
"MIT"
] | null | null | null | scripts/extract_frequencies.py | hjortnaes/congra_parser | c09a726a9c234a449d0fd6a9f2fddefaca395741 | [
"MIT"
] | null | null | null | from collections import Counter, namedtuple
def print_freqs(freqs):
"""
Prints an easy to read format of the frequencies extracted from the corpus
to the file frequencies.txt
:return: None
"""
with open('frequencies.txt', 'w') as f:
for t, c in freqs.items():
print(str(t), ... | 36.352941 | 119 | 0.605583 |
b6acc709305640c27e6ab108c2eb69cd4e8409b7 | 1,416 | py | Python | tests/cli/test_api_consumer.py | chib0/asd-winter2019 | c7d95305b1e8b99013fd40da1e7ebe01c2d0102a | [
"Apache-2.0"
] | null | null | null | tests/cli/test_api_consumer.py | chib0/asd-winter2019 | c7d95305b1e8b99013fd40da1e7ebe01c2d0102a | [
"Apache-2.0"
] | 4 | 2021-02-02T22:38:53.000Z | 2022-01-13T02:32:33.000Z | tests/cli/test_api_consumer.py | chib0/asd-winter2019 | c7d95305b1e8b99013fd40da1e7ebe01c2d0102a | [
"Apache-2.0"
] | null | null | null | import pytest
import werkzeug
import cortex.cli.api_consumer as api_consumer
| 39.333333 | 100 | 0.716102 |
b6b21b0181116d3da67947f3e174ee215bcd640b | 3,063 | py | Python | scptoweb-climockup.py | 519seven/python_snippets | 39530f1ca1a1b889f1ddb2a21d4ea55c38dde898 | [
"BSD-2-Clause"
] | null | null | null | scptoweb-climockup.py | 519seven/python_snippets | 39530f1ca1a1b889f1ddb2a21d4ea55c38dde898 | [
"BSD-2-Clause"
] | 1 | 2020-08-12T01:37:01.000Z | 2020-08-12T01:37:01.000Z | scptoweb-climockup.py | 519seven/python_snippets | 39530f1ca1a1b889f1ddb2a21d4ea55c38dde898 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# ==========================================================
# Copyright 2020 519Seven
# ==========================================================
''' Designed for cron - scp files to web server
Set up SSH key for password-less SCP to web server
Using env vars because this in a place where
... | 31.57732 | 106 | 0.680705 |
b6b310ddd7552060444487d3b6bd14778c644bee | 2,012 | py | Python | google_gas_station.py | loghmanb/daily-coding-problem | 97c165fc00422566f463cd862374de66135bc3e3 | [
"MIT"
] | null | null | null | google_gas_station.py | loghmanb/daily-coding-problem | 97c165fc00422566f463cd862374de66135bc3e3 | [
"MIT"
] | null | null | null | google_gas_station.py | loghmanb/daily-coding-problem | 97c165fc00422566f463cd862374de66135bc3e3 | [
"MIT"
] | null | null | null | '''
Gas Station
Asked in: Bloomberg, Google, DE Shaw, Amazon, Flipkart
Given two integer arrays A and B of size N.
There are N gas stations along a circular route, where the amount of gas at station i is A[i].
You have a car with an unlimited gas tank and it costs B[i] of gas to travel from station i
to its next stat... | 32.983607 | 376 | 0.66501 |
b6b4869088455d04e487300c06f2189b4e0eab83 | 2,020 | py | Python | api/tests/integration/tests/todo/load_utf8.py | epam/Indigo | cb6b0bb5568f414f387e1997ad64c7eedd92c04e | [
"Apache-2.0"
] | 204 | 2015-11-06T21:34:34.000Z | 2022-03-30T16:17:01.000Z | api/tests/integration/tests/todo/load_utf8.py | mongrzzzzzfr/Indigo | 07cb744a90ff17828f8c1185bcc2e78cb4e882b3 | [
"Apache-2.0"
] | 509 | 2015-11-05T13:54:43.000Z | 2022-03-30T22:15:30.000Z | api/tests/integration/tests/todo/load_utf8.py | mongrzzzzzfr/Indigo | 07cb744a90ff17828f8c1185bcc2e78cb4e882b3 | [
"Apache-2.0"
] | 89 | 2015-11-17T08:22:54.000Z | 2022-03-17T04:26:28.000Z | # coding=utf-8
import sys
sys.path.append('../../common')
from env_indigo import *
indigo = Indigo()
indigo.setOption("molfile-saving-skip-date", "1")
print("****** Load molfile with UTF-8 characters in Data S-group ********")
m = indigo.loadMoleculeFromFile(joinPathPy("molecules/sgroups_utf8.mol", __file__))
indigo.... | 36.071429 | 102 | 0.631683 |
b6b6c2ee5a358ae1677029fe17230741b104b351 | 432 | py | Python | secondtest/2013/1gaussjacobi.py | JoaoCostaIFG/MNUM | 6e042d8a6f64feb9eae9c79afec2fbab51f46fbd | [
"MIT"
] | 1 | 2019-12-07T10:34:30.000Z | 2019-12-07T10:34:30.000Z | secondtest/2013/1gaussjacobi.py | JoaoCostaIFG/MNUM | 6e042d8a6f64feb9eae9c79afec2fbab51f46fbd | [
"MIT"
] | null | null | null | secondtest/2013/1gaussjacobi.py | JoaoCostaIFG/MNUM | 6e042d8a6f64feb9eae9c79afec2fbab51f46fbd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# CHECKED
A = [[4.5, -1, -1, 1], [-1, 4.5, 1, -1], [-1, 2, 4.5, -1], [2, -1, -1, 4.5]]
b = [1, -1, -1, 0]
x = [0.25, 0.25, 0.25, 0.25]
x_new = [0, 0, 0, 0]
for k in range(2):
for i in range(4):
x_new[i] = b[i]
for j in range(4):
if j != i:
x_new[... | 19.636364 | 76 | 0.381944 |
b6b74e989e19a2592c3e0ed3a2014e95a95fa284 | 6,903 | py | Python | exercises/house_price_prediction.py | ranitoukhy/IML.HUJI | 156e67422311847d9f40efa36fb2020da3dd0087 | [
"MIT"
] | null | null | null | exercises/house_price_prediction.py | ranitoukhy/IML.HUJI | 156e67422311847d9f40efa36fb2020da3dd0087 | [
"MIT"
] | null | null | null | exercises/house_price_prediction.py | ranitoukhy/IML.HUJI | 156e67422311847d9f40efa36fb2020da3dd0087 | [
"MIT"
] | null | null | null | import numpy
from sklearn.model_selection import ParameterGrid
import IMLearn.utils
from IMLearn.utils import split_train_test
from IMLearn.learners.regressors import LinearRegression
from typing import NoReturn
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
impor... | 39.445714 | 265 | 0.665942 |
fca97547159790623ff79445e8e3c772fb3916ed | 7,900 | py | Python | mykit/core/kmesh.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | 4 | 2019-01-02T09:17:54.000Z | 2019-12-26T07:15:59.000Z | mykit/core/kmesh.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | 6 | 2019-03-06T03:16:12.000Z | 2019-03-14T14:36:01.000Z | mykit/core/kmesh.py | minyez/mykit | 911413120c081be2cfcaef06d62dc40b2abd2747 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''Module that defines classes and functions for Brillouin zone sampling
'''
import os
import re
from copy import deepcopy
import numpy as np
from mykit.core._control import (build_tag_map_obj, extract_from_tagdict,
parse_to_tagdict, prog_mapper, tags_mapping)
... | 31.102362 | 99 | 0.602785 |
fca9e8a4bc32f7e169d0d7268005568ae139f7b9 | 3,573 | py | Python | deepcompton/datasets.py | vuillaut/DeepIntegralCompton | f7f6811401d6b234a615742e4f6d22ac46e91b2f | [
"MIT"
] | 1 | 2021-12-06T16:35:20.000Z | 2021-12-06T16:35:20.000Z | deepcompton/datasets.py | vuillaut/DeepIntegralCompton | f7f6811401d6b234a615742e4f6d22ac46e91b2f | [
"MIT"
] | 1 | 2021-12-07T00:45:31.000Z | 2021-12-08T09:13:45.000Z | deepcompton/datasets.py | vuillaut/DeepIntegralCompton | f7f6811401d6b234a615742e4f6d22ac46e91b2f | [
"MIT"
] | 2 | 2021-12-06T16:43:46.000Z | 2021-12-06T16:49:54.000Z | from pathlib import Path
from tqdm.auto import tqdm
import numpy as np
import pickle
import os
from astropy.table import Table
import pickle as pkl
from multiprocessing import Pool, Manager
from threading import Lock
from .cones import make_cone_density
from .utils import load_data
from .cones import make_cone
from .c... | 32.779817 | 110 | 0.579905 |
fcaa592b6882acffb9ec4879609d7c3e669756be | 4,042 | py | Python | src/models/Classifier.py | ChristianCKKoch/Repo_1 | 372a6a2fe7ce5b7c4ec8a238769f9807d4f0dc35 | [
"FTL"
] | null | null | null | src/models/Classifier.py | ChristianCKKoch/Repo_1 | 372a6a2fe7ce5b7c4ec8a238769f9807d4f0dc35 | [
"FTL"
] | null | null | null | src/models/Classifier.py | ChristianCKKoch/Repo_1 | 372a6a2fe7ce5b7c4ec8a238769f9807d4f0dc35 | [
"FTL"
] | null | null | null | from sklearn.model_selection import GridSearchCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.svm import SVC
import numpy as np
import pandas as pd
impo... | 41.244898 | 144 | 0.504206 |
fcaad3bf3e2640d58347e127fd2a0d0a345cbdb7 | 1,477 | py | Python | app/dashapp3/layout.py | credwood/bitplayers | 4ca6b6c6a21bb21d7cd963c64028415559c3dcc4 | [
"MIT"
] | 1 | 2020-06-26T21:49:14.000Z | 2020-06-26T21:49:14.000Z | app/dashapp3/layout.py | credwood/bitplayers | 4ca6b6c6a21bb21d7cd963c64028415559c3dcc4 | [
"MIT"
] | 2 | 2020-03-31T11:11:04.000Z | 2021-12-13T20:38:48.000Z | app/dashapp3/layout.py | credwood/bitplayers | 4ca6b6c6a21bb21d7cd963c64028415559c3dcc4 | [
"MIT"
] | null | null | null | import dash_core_components as dcc
import dash_html_components as html
import dash_table
import plotly
import plotly.graph_objs as go
layout = html.Div([
html.H2('Top Locations of Search Terms'),
html.P('Term searches may take several seconds. Please be patient.''),
html.P('Twitter users are not required t... | 29.54 | 125 | 0.600542 |
fcaafcafff4546ee54d6ae8e2bd99216ef1e02f8 | 653 | py | Python | signalwire/relay/calling/components/fax_send.py | ramarketing/signalwire-python | c0663bdd0454faaa39f42af7c936cea1d43e1842 | [
"MIT"
] | 23 | 2018-12-19T14:48:18.000Z | 2022-01-11T03:58:36.000Z | signalwire/relay/calling/components/fax_send.py | ramarketing/signalwire-python | c0663bdd0454faaa39f42af7c936cea1d43e1842 | [
"MIT"
] | 13 | 2018-10-17T12:57:54.000Z | 2021-09-01T21:46:01.000Z | signalwire/relay/calling/components/fax_send.py | ramarketing/signalwire-python | c0663bdd0454faaa39f42af7c936cea1d43e1842 | [
"MIT"
] | 12 | 2020-01-21T14:29:43.000Z | 2022-01-11T07:48:06.000Z | from .base_fax import BaseFax
from ..constants import Method
| 22.517241 | 65 | 0.658499 |
fcab06e89cd69672bbc46114c13bda3689be495e | 658 | py | Python | Prog4comp-SL-HPL-Extra/src/brute_force_root_finder_function.py | computational-medicine/BMED360-2021 | 2c6052b9affedf1fee23c89d23941bf08eb2614c | [
"MIT"
] | 2 | 2021-04-19T23:22:17.000Z | 2021-04-20T14:04:58.000Z | Prog4comp-SL-HPL-Extra/src/brute_force_root_finder_function.py | computational-medicine/BMED360-2021 | 2c6052b9affedf1fee23c89d23941bf08eb2614c | [
"MIT"
] | null | null | null | Prog4comp-SL-HPL-Extra/src/brute_force_root_finder_function.py | computational-medicine/BMED360-2021 | 2c6052b9affedf1fee23c89d23941bf08eb2614c | [
"MIT"
] | 2 | 2020-03-26T17:15:13.000Z | 2020-05-25T08:10:06.000Z |
if __name__ == '__main__':
demo()
| 25.307692 | 63 | 0.475684 |
fcab7a79ac6036dab99cb1acc521d93b4b321ce7 | 265 | py | Python | abc_097_b.py | YukiShinonome/AtCoder | eb994b9aa2bee65ffd7b3c0e36f624bebfba647d | [
"MIT"
] | null | null | null | abc_097_b.py | YukiShinonome/AtCoder | eb994b9aa2bee65ffd7b3c0e36f624bebfba647d | [
"MIT"
] | null | null | null | abc_097_b.py | YukiShinonome/AtCoder | eb994b9aa2bee65ffd7b3c0e36f624bebfba647d | [
"MIT"
] | null | null | null | X = int(input())
a_list = []
for s in range(1, 32):
for i in range(2, 10):
a = s ** i
if a > 1000:
break
a_list.append(a)
a2 = sorted(list(set(a_list)), reverse=True)
for n in a2:
if n <= X:
print(n)
break | 20.384615 | 44 | 0.475472 |
fcaed27722a9660f38f131ecde2a5f85a803f929 | 91 | py | Python | django_web_app/telegram/apps.py | alexzanderr/django_web_app | 2e4d0774510072bbaf4fef3c2858e9e94e3f39f3 | [
"MIT"
] | null | null | null | django_web_app/telegram/apps.py | alexzanderr/django_web_app | 2e4d0774510072bbaf4fef3c2858e9e94e3f39f3 | [
"MIT"
] | 44 | 2020-05-13T20:15:26.000Z | 2022-03-04T02:58:58.000Z | django_web_app/telegram/apps.py | alexzanderr/django_web_app | 2e4d0774510072bbaf4fef3c2858e9e94e3f39f3 | [
"MIT"
] | 4 | 2020-06-05T17:59:52.000Z | 2021-02-06T19:09:43.000Z | from django.apps import AppConfig
| 15.166667 | 33 | 0.758242 |
fcaefb63b2e317396f8df75fa5285c09094f179f | 579 | py | Python | Sorting/sort list strings with numbers.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | Sorting/sort list strings with numbers.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | Sorting/sort list strings with numbers.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
#
items = ['KMS1.kmch.pos.out_dE_%s.mx' % i for i in range(20)]
#
import random
random.shuffle(items)
print(items)
#
print(sorted(items))
print()
print(sorted(items, key=get_number_1))
print(sorted(items, key=get_number_2))
| 17.545455 | 61 | 0.682211 |
fcb05adc2cd8fa6c070a1e0a8534bb981f26cc55 | 2,773 | py | Python | djangocms_charts/migrations/0002_add_chart_position.py | l1f7/djangocms-charts | 6de3d35758da39bda175406817ddbd1b0b0d5c59 | [
"MIT"
] | 5 | 2019-04-14T01:28:22.000Z | 2020-11-09T10:48:13.000Z | djangocms_charts/migrations/0002_add_chart_position.py | mcldev/djangocms-charts | 3c10286612af5b2f6179af8e7dc7e10407fe6f6e | [
"MIT"
] | 1 | 2017-07-11T19:08:01.000Z | 2018-12-22T15:38:39.000Z | djangocms_charts/migrations/0002_add_chart_position.py | mcldev/djangocms-charts | 3c10286612af5b2f6179af8e7dc7e10407fe6f6e | [
"MIT"
] | 4 | 2019-07-05T05:36:53.000Z | 2021-01-08T17:04:59.000Z |
from django.db import migrations, models
| 36.973333 | 95 | 0.611973 |
fcb28f8d9ab5b790dfd756ae43ed020b951ebf7e | 2,689 | py | Python | heightmaptilemaker/heightmap/heightmap.py | ulrichji/HeightmapTileMaker | b817f3e39beb383fcb54e8c5ce29666a202dce04 | [
"MIT"
] | null | null | null | heightmaptilemaker/heightmap/heightmap.py | ulrichji/HeightmapTileMaker | b817f3e39beb383fcb54e8c5ce29666a202dce04 | [
"MIT"
] | 7 | 2019-08-10T10:35:59.000Z | 2022-03-12T00:49:24.000Z | heightmaptilemaker/heightmap/heightmap.py | ulrichji/HeightmapTileMaker | b817f3e39beb383fcb54e8c5ce29666a202dce04 | [
"MIT"
] | null | null | null | import geo.geo_utils
import geo.raster_lookup
from progress.null_callback import NullCallback
from progress.progress import Progress
import glob
import numpy as np
| 34.037975 | 101 | 0.593901 |
fcb5031213b77f76c4941cf91243b5919e3974dd | 406 | py | Python | python_tutorials/sets.py | bionikspoon/HackerRank | d896009019811b926a4404df005fc7ea0184c505 | [
"MIT"
] | null | null | null | python_tutorials/sets.py | bionikspoon/HackerRank | d896009019811b926a4404df005fc7ea0184c505 | [
"MIT"
] | null | null | null | python_tutorials/sets.py | bionikspoon/HackerRank | d896009019811b926a4404df005fc7ea0184c505 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
set_m, set_n = get_stdin()
set_m = set(set_m)
set_n = set(set_n)
result = []
result.extend(set_m.difference(set_n))
result.extend(set_n.difference(set_m))
print "\n".join(sorted(result, key=lambda x: int(x))) | 25.375 | 57 | 0.633005 |
fcb5c152d09a0048b13ae6ac86607f09ed887da3 | 661 | py | Python | release/stubs.min/Revit/References.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Revit/References.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Revit/References.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | # encoding: utf-8
# module Revit.References calls itself References
# from RevitNodes,Version=1.2.1.3083,Culture=neutral,PublicKeyToken=null
# by generator 1.145
# no doc
# no imports
# no functions
# classes
| 22.033333 | 108 | 0.665658 |
fcb6327d7e4cb1ae556990fbbdbb879671eea3d2 | 5,479 | py | Python | wukong/master/dbserver.py | fakewen/Monitoring-branch | cb5516d7cd4eaac3f88f32dc37fdff622f3a6655 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | wukong/master/dbserver.py | fakewen/Monitoring-branch | cb5516d7cd4eaac3f88f32dc37fdff622f3a6655 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | wukong/master/dbserver.py | fakewen/Monitoring-branch | cb5516d7cd4eaac3f88f32dc37fdff622f3a6655 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | #!/usr/bin/python
# vim: ts=2 sw=2 expandtab
# author: Penn Su
import dateutil.parser
from gevent import monkey; monkey.patch_all()
import gevent
import serial
import platform
import os, sys, zipfile, re, time
import tornado.ioloop, tornado.web
import tornado.template as template
import simplejson as json
from jinja2... | 27.258706 | 94 | 0.72203 |
fcb68d16453fb5101d45f636d0ea5b6b5bc6c1f4 | 2,644 | py | Python | cata/utils/train_mnist_classifier.py | seblee97/student_teacher_catastrophic | 9baaaf2850025ba9cf33d61c42386bc4c3b2dad2 | [
"MIT"
] | 2 | 2021-09-13T01:44:09.000Z | 2021-12-11T11:56:49.000Z | cata/utils/train_mnist_classifier.py | seblee97/student_teacher_catastrophic | 9baaaf2850025ba9cf33d61c42386bc4c3b2dad2 | [
"MIT"
] | 8 | 2020-11-13T18:37:30.000Z | 2022-02-15T15:11:51.000Z | cata/utils/train_mnist_classifier.py | seblee97/student_teacher_catastrophic | 9baaaf2850025ba9cf33d61c42386bc4c3b2dad2 | [
"MIT"
] | null | null | null | from collections import deque
from typing import Dict
import numpy as np
import torch
import torch.nn as nn
from components.data_modules import MNISTDigitsData
from models.networks.base_network import Model
from utils import Parameters
| 31.47619 | 97 | 0.668306 |
fcb6ba9fbf1fe84bcdb66d58d9f8a16155d29a5d | 428 | bzl | Python | bazel/docker/initialize.bzl | mlab-lattice/lattice | 8ad7070f7c0c5d2a24373b59567797afd669201f | [
"Apache-2.0"
] | 1 | 2018-10-01T17:33:36.000Z | 2018-10-01T17:33:36.000Z | bazel/docker/initialize.bzl | mlab-lattice/lattice | 8ad7070f7c0c5d2a24373b59567797afd669201f | [
"Apache-2.0"
] | 59 | 2018-08-23T17:07:35.000Z | 2018-10-09T15:55:05.000Z | bazel/docker/initialize.bzl | mlab-lattice/lattice | 8ad7070f7c0c5d2a24373b59567797afd669201f | [
"Apache-2.0"
] | 3 | 2018-10-09T05:38:16.000Z | 2018-10-10T16:58:57.000Z | load("@io_bazel_rules_docker//go:image.bzl", go_image_repositories="repositories")
load("@io_bazel_rules_docker//container:container.bzl", container_repositories = "repositories")
load("@distroless//package_manager:package_manager.bzl", "package_manager_repositories",)
| 42.8 | 96 | 0.829439 |
fcb72511710966f2048dd76cb91f87e003997619 | 4,191 | py | Python | postal_code.py | shinyaohtani/postalnumber | 73413edcceaf922f8ec203347a01e4c6f22b6f86 | [
"MIT"
] | null | null | null | postal_code.py | shinyaohtani/postalnumber | 73413edcceaf922f8ec203347a01e4c6f22b6f86 | [
"MIT"
] | null | null | null | postal_code.py | shinyaohtani/postalnumber | 73413edcceaf922f8ec203347a01e4c6f22b6f86 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf_8
import os
import csv, sqlite3
import unicodedata
import pdb
# 0
# 1
# 2
# 3
# 4
# 5
# 6
# 7
# 8
# 9 (3) (10)
# 10 (4) (10)
# 11 (10)
# 12 (5) (10)
# 13 (6)(012())
# 14 (0123456())
if __name__ == "__main__":
main()
| 33.261905 | 95 | 0.47268 |
fcb7a2f5a8239727ba1c609b61067df5c6acae03 | 201 | py | Python | SimCalorimetry/EcalSelectiveReadoutProducers/python/ecalDigis_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | SimCalorimetry/EcalSelectiveReadoutProducers/python/ecalDigis_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | SimCalorimetry/EcalSelectiveReadoutProducers/python/ecalDigis_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
# Define EcalSelectiveReadoutProducer module as "simEcalDigis" with default settings
from SimCalorimetry.EcalSelectiveReadoutProducers.ecalDigis_cfi import *
| 40.2 | 85 | 0.865672 |
fcb8cf21b29a5f272a7d618c6ac9079ebfc14c39 | 271 | py | Python | pythran/tests/cython/setup_tax.py | davidbrochart/pythran | 24b6c8650fe99791a4091cbdc2c24686e86aa67c | [
"BSD-3-Clause"
] | 1,647 | 2015-01-13T01:45:38.000Z | 2022-03-28T01:23:41.000Z | pythran/tests/cython/setup_tax.py | davidbrochart/pythran | 24b6c8650fe99791a4091cbdc2c24686e86aa67c | [
"BSD-3-Clause"
] | 1,116 | 2015-01-01T09:52:05.000Z | 2022-03-18T21:06:40.000Z | pythran/tests/cython/setup_tax.py | davidbrochart/pythran | 24b6c8650fe99791a4091cbdc2c24686e86aa67c | [
"BSD-3-Clause"
] | 180 | 2015-02-12T02:47:28.000Z | 2022-03-14T10:28:18.000Z | from distutils.core import setup
from Cython.Build import cythonize
setup(
name = "tax",
ext_modules = cythonize('tax.pyx'),
script_name = 'setup.py',
script_args = ['build_ext', '--inplace']
)
import tax
import numpy as np
print(tax.tax(np.ones(10)))
| 18.066667 | 44 | 0.678967 |
fcbb4967e876f79ef65cd49337750c1525fb3e3f | 8,898 | py | Python | i3pystatus/weather/wunderground.py | eBrnd/i3pystatus | 47e5379a20f6e636fee38b68a363705b5b6b2364 | [
"MIT"
] | null | null | null | i3pystatus/weather/wunderground.py | eBrnd/i3pystatus | 47e5379a20f6e636fee38b68a363705b5b6b2364 | [
"MIT"
] | null | null | null | i3pystatus/weather/wunderground.py | eBrnd/i3pystatus | 47e5379a20f6e636fee38b68a363705b5b6b2364 | [
"MIT"
] | null | null | null | from i3pystatus import IntervalModule
from i3pystatus.core.util import internet, require
from datetime import datetime
from urllib.request import urlopen
import json
import re
GEOLOOKUP_URL = 'http://api.wunderground.com/api/%s/geolookup%s/q/%s.json'
STATION_QUERY_URL = 'http://api.wunderground.com/api/%s/%s/q/%s.jso... | 36.921162 | 98 | 0.559901 |
fcbdc189fa7edf338f51d136012cffd8ce4fbc2e | 2,525 | py | Python | lpot/ux/components/optimization/graph_optimizer/graph_optimization.py | intelkevinputnam/lpot-docs | 1ff32b4d89074a6bd133ba531f7c0cea3b73152f | [
"Apache-2.0"
] | null | null | null | lpot/ux/components/optimization/graph_optimizer/graph_optimization.py | intelkevinputnam/lpot-docs | 1ff32b4d89074a6bd133ba531f7c0cea3b73152f | [
"Apache-2.0"
] | null | null | null | lpot/ux/components/optimization/graph_optimizer/graph_optimization.py | intelkevinputnam/lpot-docs | 1ff32b4d89074a6bd133ba531f7c0cea3b73152f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 31.17284 | 76 | 0.586139 |
fcbe48c1b6d6f017584d2076bf8984996243862a | 7,986 | py | Python | train.py | ilivans/multihead-sentiment | 64be5cacaed46b745fadbc225b0c271b3146c112 | [
"Apache-2.0"
] | null | null | null | train.py | ilivans/multihead-sentiment | 64be5cacaed46b745fadbc225b0c271b3146c112 | [
"Apache-2.0"
] | null | null | null | train.py | ilivans/multihead-sentiment | 64be5cacaed46b745fadbc225b0c271b3146c112 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
"""
Train multihead-classifier with triplet loss
"""
from __future__ import print_function, division
import numpy as np
import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
from tensorflow.contrib.layers import fully_connected
from tensorflow.contrib.rnn im... | 40.130653 | 112 | 0.617956 |
fcbe955e22ffd3a928c10c0433590b9f656475d1 | 656 | py | Python | Logica/Decisao.py | DjCod3r/PythonScripts | 95e70ebb81d2bc37b0283daff8ee723c5d2a382c | [
"MIT"
] | null | null | null | Logica/Decisao.py | DjCod3r/PythonScripts | 95e70ebb81d2bc37b0283daff8ee723c5d2a382c | [
"MIT"
] | null | null | null | Logica/Decisao.py | DjCod3r/PythonScripts | 95e70ebb81d2bc37b0283daff8ee723c5d2a382c | [
"MIT"
] | null | null | null | a = 15
b = 15
exp = a == b
if a < b:
print(f'{a} e menor que {b}')
elif a > b :
print(f'{a} e maior que {b}')
else:
print('Os valores so iguais')
letra = 'l'
nome = 'Djonatan l'
if letra in nome:
print(f'Contem {letra} no nome')
else:
print(f'No Contem {letra} no nome')
valor = '2'
valores = '8271... | 16.820513 | 49 | 0.594512 |
fcbea55c8526f80a0db46f3a6eb3fa8a6222c7d9 | 1,372 | py | Python | test/test_g2p.py | gantzgraf/vape | f939cb527d72d852cb0919a57332110c15c5fd4a | [
"MIT"
] | 4 | 2020-03-25T06:09:39.000Z | 2021-03-23T11:22:00.000Z | test/test_g2p.py | gantzgraf/vape | f939cb527d72d852cb0919a57332110c15c5fd4a | [
"MIT"
] | 1 | 2020-10-02T14:50:30.000Z | 2020-10-12T15:24:24.000Z | test/test_g2p.py | gantzgraf/vape | f939cb527d72d852cb0919a57332110c15c5fd4a | [
"MIT"
] | 1 | 2021-02-20T11:32:34.000Z | 2021-02-20T11:32:34.000Z | from .utils import *
if __name__ == '__main__':
import nose
nose.run(defaultTest=__name__)
| 28.583333 | 65 | 0.611516 |
fcbf89d16af8b8207c6990c30ee128a79effbc4f | 963 | py | Python | src/pretalx/api/permissions.py | lili668668/pretalx | 5ba2185ffd7c5f95254aafe25ad3de340a86eadb | [
"Apache-2.0"
] | 418 | 2017-10-05T05:52:49.000Z | 2022-03-24T09:50:06.000Z | src/pretalx/api/permissions.py | lili668668/pretalx | 5ba2185ffd7c5f95254aafe25ad3de340a86eadb | [
"Apache-2.0"
] | 1,049 | 2017-09-16T09:34:55.000Z | 2022-03-23T16:13:04.000Z | src/pretalx/api/permissions.py | lili668668/pretalx | 5ba2185ffd7c5f95254aafe25ad3de340a86eadb | [
"Apache-2.0"
] | 155 | 2017-10-16T18:32:01.000Z | 2022-03-15T12:48:33.000Z | from rest_framework.permissions import SAFE_METHODS, BasePermission
| 37.038462 | 83 | 0.678089 |
fcbfaa3b37c12879317a3372ec9e016db24214d1 | 921 | py | Python | 09-problems/lc_389_find_difference.py | hamidgasmi/training.computerscience.algorithms-datastructures | bd156dd2e9ed5681d9f1e4a23f71a92d68d0db43 | [
"MIT"
] | 8 | 2020-11-15T13:55:27.000Z | 2022-03-15T00:30:10.000Z | 09-problems/lc_389_find_difference.py | hamidgasmi/training.computerscience.algorithms-datastructures | bd156dd2e9ed5681d9f1e4a23f71a92d68d0db43 | [
"MIT"
] | 217 | 2020-02-28T03:09:05.000Z | 2020-10-29T13:19:12.000Z | 09-problems/lc_389_find_difference.py | hamidgasmi/training.computerscience.algorithms-datastructures | bd156dd2e9ed5681d9f1e4a23f71a92d68d0db43 | [
"MIT"
] | 3 | 2021-07-04T06:42:14.000Z | 2021-11-20T17:56:48.000Z | """
1. Problem Summary / Clarifications / TDD:
output("abcd", "abecd") = "e"
2. Inuition: xor operator
3. Tests:
output("abcd", "abecd") = "e": The added character is in the middle of t
output("abcd", "abcde") = "e": The added character is at the end of t
ou... | 27.909091 | 83 | 0.500543 |
fcbfc073469b07dd98a14e4c9164c0fd8b5cd461 | 75 | py | Python | stackstrap/__init__.py | movermeyer/stackstrap | daa942ba83c2f3183628a4dc84e8ea221ff49eb6 | [
"Apache-2.0"
] | 3 | 2015-04-19T09:36:49.000Z | 2017-02-08T23:41:22.000Z | stackstrap/__init__.py | movermeyer/stackstrap | daa942ba83c2f3183628a4dc84e8ea221ff49eb6 | [
"Apache-2.0"
] | 1 | 2021-03-25T21:27:19.000Z | 2021-03-25T21:27:19.000Z | stackstrap/__init__.py | movermeyer/stackstrap | daa942ba83c2f3183628a4dc84e8ea221ff49eb6 | [
"Apache-2.0"
] | 2 | 2015-05-22T08:25:54.000Z | 2018-03-05T00:33:25.000Z | __version__ = '0.2.2'
__url__ = 'https://github.com/stackstrap/stackstrap'
| 25 | 52 | 0.733333 |
fcc0f56a45f5b3a3367ff9b76d42059153256b5a | 927 | py | Python | app/ratelimit/time_bucketed.py | mampilly/backend-global | a2248758d521bf7f136fbc5fd12902448d137b33 | [
"MIT"
] | null | null | null | app/ratelimit/time_bucketed.py | mampilly/backend-global | a2248758d521bf7f136fbc5fd12902448d137b33 | [
"MIT"
] | null | null | null | app/ratelimit/time_bucketed.py | mampilly/backend-global | a2248758d521bf7f136fbc5fd12902448d137b33 | [
"MIT"
] | null | null | null | '''Rate limiting via Redis'''
import logging
from datetime import timedelta
from redis import Redis
from app.core.database.cache import get_redis_connection
from app.exceptions.application_exception import exception
def rate_request(key, limit, period):
"""Rate request wrapping redis connection"""
return requ... | 29.903226 | 74 | 0.710895 |
fcc1a1236f02872e188e0996c48dca2fa8535f2a | 471 | py | Python | za/minstData/test.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | za/minstData/test.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | za/minstData/test.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | #%%
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
import cv2
import numpy as np
import shutil
import random
from zipfile import ZipFile
rootPath = '..\..\dataAndModel\data\mnist\\'
for file in ["train", "test"]:
path = rootPath + file
print(os.listdir(path))
# %%
image_paths = [rootPath + 'train\\' +... | 17.444444 | 88 | 0.656051 |
fcc25bf61c176e60b03809db70f8c5e3f540ca19 | 99 | py | Python | yesg/__init__.py | Lienus10/yesg | 46e684745d03cc82651f2f0b110222e8440f429c | [
"MIT"
] | null | null | null | yesg/__init__.py | Lienus10/yesg | 46e684745d03cc82651f2f0b110222e8440f429c | [
"MIT"
] | null | null | null | yesg/__init__.py | Lienus10/yesg | 46e684745d03cc82651f2f0b110222e8440f429c | [
"MIT"
] | null | null | null | from .main import get_esg_short
from .main import get_esg_full
from .main import get_historic_esg
| 19.8 | 34 | 0.838384 |
fcc2c6d2b9ea0e61eef4b9a727178a5fce8e5eb2 | 117 | py | Python | Turtles.py | Comp-Sci-Principles-2018-19/chapter-2-exercises-lanoflatfaceo | 7c21318193017910b63fd6d9ba47903acc89a153 | [
"MIT"
] | null | null | null | Turtles.py | Comp-Sci-Principles-2018-19/chapter-2-exercises-lanoflatfaceo | 7c21318193017910b63fd6d9ba47903acc89a153 | [
"MIT"
] | null | null | null | Turtles.py | Comp-Sci-Principles-2018-19/chapter-2-exercises-lanoflatfaceo | 7c21318193017910b63fd6d9ba47903acc89a153 | [
"MIT"
] | null | null | null | import turtle
wn=turtle.Screen()
alex=turtle.Turtle()
alex.forward(50)
alex.left(90)
alex.forward(30)
wn.mainloop() | 13 | 20 | 0.752137 |
fcc2e890cdc2d6542622e6ad945413e8d7cb72d0 | 1,136 | py | Python | www/lib/components/config/shared.py | cripplet/ipfire-material-design | 972dac352a097bbfe556bf4a6cad900c037cca21 | [
"MIT"
] | null | null | null | www/lib/components/config/shared.py | cripplet/ipfire-material-design | 972dac352a097bbfe556bf4a6cad900c037cca21 | [
"MIT"
] | 3 | 2019-07-13T08:03:22.000Z | 2019-07-13T08:06:03.000Z | www/lib/components/config/shared.py | cripplet/ipfire-material-design | 972dac352a097bbfe556bf4a6cad900c037cca21 | [
"MIT"
] | null | null | null | import json
from lib.components import shared
| 26.418605 | 83 | 0.551056 |
fcc4a1cf356c4e727ef86d0eb7b9efb497dc75cc | 155 | py | Python | urls.py | bellachp/DashTut | 3ff19d52f34aea14a5e0c332fd18878cbf04279a | [
"MIT"
] | null | null | null | urls.py | bellachp/DashTut | 3ff19d52f34aea14a5e0c332fd18878cbf04279a | [
"MIT"
] | null | null | null | urls.py | bellachp/DashTut | 3ff19d52f34aea14a5e0c332fd18878cbf04279a | [
"MIT"
] | null | null | null | # urls.py
# urls for dash app
url_paths = {
"index": '/',
"home": '/home',
"scatter": '/apps/scatter-test',
"combo": '/apps/combo-test'
}
| 15.5 | 36 | 0.529032 |
fcc70df18051c99d18be9c3e519f2a167ea0e9cb | 2,695 | py | Python | toga/genetic_algorithm/mutate/float.py | JPLMLIA/TOGA | 81ab7264fb9df9c4ea539b77424f52af166712a6 | [
"Apache-2.0"
] | null | null | null | toga/genetic_algorithm/mutate/float.py | JPLMLIA/TOGA | 81ab7264fb9df9c4ea539b77424f52af166712a6 | [
"Apache-2.0"
] | null | null | null | toga/genetic_algorithm/mutate/float.py | JPLMLIA/TOGA | 81ab7264fb9df9c4ea539b77424f52af166712a6 | [
"Apache-2.0"
] | null | null | null | """
Author: Shawn Anderson
Date : 1/23/19
Brief :
Notes :
Copyright 2019 California Institute of Technology. ALL RIGHTS RESERVED.
U.S. Government Sponsorship acknowledged.
"""
import numpy as np
import random
from toga.genetic_algorithm.genetype import Mutator
from toga.genetic_algorithm.mutate.genemutate import ... | 26.421569 | 101 | 0.600742 |
fcc87ec4fa84a859d50e46156359c2558e44454c | 3,040 | py | Python | scoreboard_ocr/scoreboard_display.py | Nerdlytics/scoreboard_recognition | d423ce341c121f0ca93d734b264e986392134386 | [
"MIT"
] | null | null | null | scoreboard_ocr/scoreboard_display.py | Nerdlytics/scoreboard_recognition | d423ce341c121f0ca93d734b264e986392134386 | [
"MIT"
] | 8 | 2020-01-19T16:04:36.000Z | 2020-04-11T22:35:01.000Z | scoreboard_ocr/scoreboard_display.py | Nerdlytics/scoreboard_recognition | d423ce341c121f0ca93d734b264e986392134386 | [
"MIT"
] | null | null | null | scoreboard_display = [['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25'],
['51', '50', '49', '48', '47', '46', '45', '44', '43', '42', '41', '40', '39', '38', '37', '36', '35', '34', '33', '32', '31', '30', '29', '28', '27',... | 168.888889 | 183 | 0.405921 |
fcc8bebd9904f2f170d7f6c933311615ecd4e5f8 | 5,974 | py | Python | services/web/server/src/simcore_service_webserver/clusters/handlers.py | sanderegg/osparc-simcore | 13560a554c52b07e2aba67f77baaf4d5ba9edb90 | [
"MIT"
] | null | null | null | services/web/server/src/simcore_service_webserver/clusters/handlers.py | sanderegg/osparc-simcore | 13560a554c52b07e2aba67f77baaf4d5ba9edb90 | [
"MIT"
] | 55 | 2018-05-15T09:47:00.000Z | 2022-03-31T06:56:50.000Z | services/web/server/src/simcore_service_webserver/clusters/handlers.py | odeimaiz/osparc-simcore | 71c2fc58dcfe067487dcd75cb70298a4d6237e97 | [
"MIT"
] | 1 | 2020-04-22T15:06:58.000Z | 2020-04-22T15:06:58.000Z | import logging
from typing import List
from aiohttp import web
from models_library.clusters import Cluster
from models_library.users import GroupID, UserID
from pydantic import ValidationError
from servicelib.aiohttp.rest_utils import extract_and_validate
from servicelib.json_serialization import json_dumps
from .._m... | 36.876543 | 88 | 0.701373 |
fcc8ca73fba8ce91bc31f79a3733fd02680f3c75 | 1,708 | py | Python | train.py | ricedatasci/workshop3-aws-floydhub | 3509cac88cc3d55b3a2207d89a10441308a4c4e7 | [
"MIT"
] | null | null | null | train.py | ricedatasci/workshop3-aws-floydhub | 3509cac88cc3d55b3a2207d89a10441308a4c4e7 | [
"MIT"
] | null | null | null | train.py | ricedatasci/workshop3-aws-floydhub | 3509cac88cc3d55b3a2207d89a10441308a4c4e7 | [
"MIT"
] | null | null | null | import os
import numpy as np
from sklearn.model_selection import StratifiedShuffleSplit
from keras.callbacks import ModelCheckpoint
from keras.utils import to_categorical
# from plotter_callback import Plotter
import smartphone6 as sm6
from models import naive as model_func
SEED = 2263
np.random.seed(SEED)
SPLIT = 0.... | 34.16 | 88 | 0.694965 |