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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42314301c21e9d9a0374fc5a6948fd930c44cebb | 199 | py | Python | src/pywmapi/common/__init__.py | leonardodalinky/pywmapi | b9e2650761895eb9a88170497c4d209b5dd6870c | [
"MIT"
] | 4 | 2022-01-27T14:31:38.000Z | 2022-03-25T08:52:01.000Z | src/pywmapi/common/__init__.py | leonardodalinky/pywmapi | b9e2650761895eb9a88170497c4d209b5dd6870c | [
"MIT"
] | null | null | null | src/pywmapi/common/__init__.py | leonardodalinky/pywmapi | b9e2650761895eb9a88170497c4d209b5dd6870c | [
"MIT"
] | null | null | null |
HOMEPAGE_URL = "https://warframe.market"
API_BASE_URL = "https://api.warframe.market/v1"
WSS_BASE_URL = "wss://warframe.market/socket"
| 24.875 | 47 | 0.738693 | from .defs import *
from .enums import *
from .models import *
HOMEPAGE_URL = "https://warframe.market"
API_BASE_URL = "https://api.warframe.market/v1"
WSS_BASE_URL = "wss://warframe.market/socket"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 66 |
517c28415512e55a2db28762175fda18b5bb7b4d | 2,448 | py | Python | prody/routines/prody_select.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | prody/routines/prody_select.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | prody/routines/prody_select.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | # ProDy: A Python Package for Protein Dynamics Analysis
#
# Copyright (C) 2010-2012 Ahmet Bakan
#
# 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... | 34.971429 | 78 | 0.698529 | # ProDy: A Python Package for Protein Dynamics Analysis
#
# Copyright (C) 2010-2012 Ahmet Bakan
#
# 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... | 0 | 0 | 0 | 0 | 0 | 932 | 0 | 0 | 46 |
110fe71a6d76acd8c7d0b80c7f91d79e696b7cc3 | 12,435 | py | Python | src/discorn/blockchain.py | Discorn-Project/Discorn | 016afd750031e28880d9acf803ff6bc182adcb7f | [
"MIT"
] | 9 | 2021-04-03T12:28:49.000Z | 2021-05-03T13:07:33.000Z | blockchain.py | busybox11/Discorn | d48f1013d4f4149ce3c53996ff966074ae45dc89 | [
"MIT"
] | 1 | 2021-05-02T18:37:31.000Z | 2021-05-02T18:44:29.000Z | blockchain.py | busybox11/Discorn | d48f1013d4f4149ce3c53996ff966074ae45dc89 | [
"MIT"
] | 2 | 2021-05-16T20:32:29.000Z | 2021-12-14T17:25:21.000Z | import pycryptonight
import hashlib
import string
string
def fast_hash(data: bytes):
"""
Hashing function used for Corner hashes.
:param data: bytes
:return: str
"""
return pycryptonight.cn_fast_hash(data).hex()
def get_hash(data: bytes, hash_func=hashlib.sha256):
"""
Hashing funct... | 25.325866 | 98 | 0.54998 | import pycryptonight
import ecdsa
from Crypto.Hash import RIPEMD160
import hashlib
from log import Logger
import base58
import os
import time
import string
from merklelib import MerkleTree
string
def fast_hash(data: bytes):
"""
Hashing function used for Corner hashes.
:param data: bytes
:return: str... | 0 | 2,142 | 0 | 9,196 | 0 | 0 | 0 | -15 | 407 |
6c3e1105a5477b409c757e32e4d1edc15f105a05 | 3,531 | py | Python | pre_process.py | thinkAmi/ipa_issues_model_by_doc2vec | 8fd2c7f48c7342fd185b8f4e4bd4ed2ae0447fa4 | [
"MIT"
] | null | null | null | pre_process.py | thinkAmi/ipa_issues_model_by_doc2vec | 8fd2c7f48c7342fd185b8f4e4bd4ed2ae0447fa4 | [
"MIT"
] | null | null | null | pre_process.py | thinkAmi/ipa_issues_model_by_doc2vec | 8fd2c7f48c7342fd185b8f4e4bd4ed2ae0447fa4 | [
"MIT"
] | null | null | null | import re
OCR_AP = {
'dir': 'ap',
'last': '80'
}
OCR_KOUDO = {
'dir': 'koudo',
'last': '30',
}
#
AFTER_LAST_QUESTION = re.compile(r'[0-9]|-')
if __name__ == '__main__':
main()
| 31.810811 | 98 | 0.540923 | import pathlib
import re
OCR_AP = {
'dir': 'ap',
'last': '問80'
}
OCR_KOUDO = {
'dir': 'koudo',
'last': '問30',
}
# 最後の問題が終わったと判断するための正規表現
AFTER_LAST_QUESTION = re.compile(r'[0-9]|-')
def main():
split_by_question(OCR_AP)
split_by_question(OCR_KOUDO)
def split_by_question(ocr_type):
# ht... | 1,416 | 0 | 0 | 0 | 0 | 2,747 | 0 | -7 | 114 |
0fef97600b12f3be377b20b9cce249f59e622c18 | 39,809 | py | Python | BioSTEAM 2.x.x/biorefineries/BDO/system.py | blsymens/Bioindustrial-Park | c1173646185d52f4b8d595ad088ade8e5216614d | [
"MIT"
] | 1 | 2020-01-08T23:05:34.000Z | 2020-01-08T23:05:34.000Z | BioSTEAM 2.x.x/biorefineries/BDO/system.py | blsymens/Bioindustrial-Park | c1173646185d52f4b8d595ad088ade8e5216614d | [
"MIT"
] | 3 | 2020-12-30T03:16:50.000Z | 2021-01-04T20:36:45.000Z | BioSTEAM 2.x.x/biorefineries/BDO/system.py | blsymens/Bioindustrial-Park | c1173646185d52f4b8d595ad088ade8e5216614d | [
"MIT"
] | 1 | 2021-03-09T12:04:54.000Z | 2021-03-09T12:04:54.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 30 09:15:23 2019
Modified from the cornstover biorefinery constructed in Cortes-Pea et al., 2020,
with modification of fermentation system for organic acids instead of the original ethanol
[1] Cortes-Pea et al., BioSTEAM: A Fast and Flexible Platfo... | 39.968876 | 162 | 0.567962 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 30 09:15:23 2019
Modified from the cornstover biorefinery constructed in Cortes-Peña et al., 2020,
with modification of fermentation system for organic acids instead of the original ethanol
[1] Cortes-Peña et al., BioSTEAM: A Fast and Flexible Plat... | 9 | 229 | 0 | 0 | 0 | 3,141 | 0 | 63 | 293 |
5eae81090612c227c9b6d70ca8dad4b306ff2c67 | 332 | py | Python | tests/test_remove_stress.py | absentabyss/ithkuil | 2f10841189550c19d7f951c87e0b020969356cda | [
"MIT"
] | 20 | 2016-03-01T04:21:21.000Z | 2021-04-28T06:52:30.000Z | tests/test_remove_stress.py | absentabyss/ithkuil | 2f10841189550c19d7f951c87e0b020969356cda | [
"MIT"
] | 5 | 2016-01-07T16:22:25.000Z | 2019-12-26T01:49:16.000Z | tests/test_remove_stress.py | absentabyss/ithkuil | 2f10841189550c19d7f951c87e0b020969356cda | [
"MIT"
] | 6 | 2017-05-08T20:46:43.000Z | 2020-05-09T23:54:56.000Z |
txts_to_test = [
('a', 'a'),
('o', 'o'),
('u', 'au'),
('i', 'ai'),
('a', 'a'),
('a', 'ae'),
('', 'a')
] | 20.75 | 55 | 0.566265 | import pytest
from ithkuil.morphology.words import remove_stress
txts_to_test = [
('a', 'a'),
('o', 'o'),
('áu', 'au'),
('ái', 'ai'),
('aú', 'aù'),
('aé', 'ae'),
('á', 'a')
]
@pytest.mark.parametrize('txt, expected', txts_to_test)
def test_word(txt, expected):
assert remove_stress(txt)... | 12 | 106 | 0 | 0 | 0 | 0 | 0 | 21 | 67 |
d1751d4f4b25090308f574118440758b1ed37a82 | 792 | py | Python | symbols/source/DCVoltage.py | d-fathi/PyAMS | 98b6e052280551bf53bbb9cb20a6cef1f92faf89 | [
"Unlicense"
] | null | null | null | symbols/source/DCVoltage.py | d-fathi/PyAMS | 98b6e052280551bf53bbb9cb20a6cef1f92faf89 | [
"Unlicense"
] | null | null | null | symbols/source/DCVoltage.py | d-fathi/PyAMS | 98b6e052280551bf53bbb9cb20a6cef1f92faf89 | [
"Unlicense"
] | null | null | null | #-------------------------------------------------------------------------------
# Name: Vdc Source
# Author: D.Fathi
# Created: 20/03/2015
# Modified: 01/04/2020
# Copyright: (c) PyAMS
# Licence: CC-BY-SA
#-------------------------------------------------------------------------------
#S... | 24.75 | 81 | 0.415404 | #-------------------------------------------------------------------------------
# Name: Vdc Source
# Author: D.Fathi
# Created: 20/03/2015
# Modified: 01/04/2020
# Copyright: (c) PyAMS
# Licence: CC-BY-SA
#-------------------------------------------------------------------------------
fr... | 3 | 0 | 0 | 350 | 0 | 0 | 0 | 24 | 68 |
d703b3e89c861e867d5f47f407e19a572813a9c7 | 3,079 | py | Python | Python/Services/Logger.py | vanavski/Text_tonal_analyzer | a990d965dc4eca5bb43a70a050eb3ad10323760b | [
"Apache-2.0"
] | null | null | null | Python/Services/Logger.py | vanavski/Text_tonal_analyzer | a990d965dc4eca5bb43a70a050eb3ad10323760b | [
"Apache-2.0"
] | 1 | 2020-08-07T20:20:46.000Z | 2020-08-07T20:20:46.000Z | Python/Services/Logger.py | vanavski/Text_tonal_analyzer | a990d965dc4eca5bb43a70a050eb3ad10323760b | [
"Apache-2.0"
] | null | null | null | # Copyright 2018. All rights reserved.
# Author: German Yakimov
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 39.474359 | 120 | 0.63722 | # Copyright © 2018. All rights reserved.
# Author: German Yakimov
# 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 appl... | 2 | 0 | 0 | 2,319 | 0 | 0 | 0 | -9 | 157 |
48068e5d5ca90193702b291b60b5c5e4dac6e08d | 695 | py | Python | setup.py | ismailktami/robotframework-publisher-results-jira | 26167b6c1881fe0ea8ea492f4b58f63061247a48 | [
"MIT"
] | null | null | null | setup.py | ismailktami/robotframework-publisher-results-jira | 26167b6c1881fe0ea8ea492f4b58f63061247a48 | [
"MIT"
] | null | null | null | setup.py | ismailktami/robotframework-publisher-results-jira | 26167b6c1881fe0ea8ea492f4b58f63061247a48 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from PublisherJiraTestsResults.version import VERSION
classifiers = [
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3'
]
setup(
name='robotframework-publisher-results-jira',
version=VERS... | 27.8 | 78 | 0.723741 | from setuptools import setup, find_packages
from PublisherJiraTestsResults.version import VERSION
classifiers = [
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3'
]
setup(
name='robotframework-publisher-results-jira',
version=VERS... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c74abbf7e46a03add2c525bde08bf9a7b39f5235 | 1,060 | py | Python | rasp/device/__init__.py | CreeperLin/RASP | c45f9ad57b18d92b663419538562d511149c329f | [
"MIT"
] | 1 | 2021-07-20T14:56:58.000Z | 2021-07-20T14:56:58.000Z | rasp/device/__init__.py | CreeperLin/RASP | c45f9ad57b18d92b663419538562d511149c329f | [
"MIT"
] | null | null | null | rasp/device/__init__.py | CreeperLin/RASP | c45f9ad57b18d92b663419538562d511149c329f | [
"MIT"
] | 2 | 2020-04-21T06:49:04.000Z | 2021-07-20T14:57:06.000Z |
_DEVICE = 'frontend'
required_entries = [
'reset',
'init',
'run',
'add_node',
]
| 25.238095 | 72 | 0.587736 | import importlib
_DEVICE = 'frontend'
required_entries = [
'reset',
'init',
'run',
'add_node',
]
def load_device(config):
global _DEVICE
_DEVICE = config.get('type', 'frontend')
if _DEVICE == 'frontend':
module_name = '.frontend_device'
package = 'rasp.device'
elif _D... | 0 | 0 | 0 | 0 | 0 | 898 | 0 | -5 | 68 |
7fe867fd559b5df13421d21d6455bfcb821f7df6 | 7,328 | py | Python | test_meIRL/run_experiment_irl.py | ranok92/deepirl | 88c7e76986243cf0b988d8d7dc0eef6b58e07864 | [
"MIT"
] | 2 | 2019-01-04T22:03:15.000Z | 2019-04-03T00:16:11.000Z | test_meIRL/run_experiment_irl.py | ranok92/deepirl | 88c7e76986243cf0b988d8d7dc0eef6b58e07864 | [
"MIT"
] | null | null | null | test_meIRL/run_experiment_irl.py | ranok92/deepirl | 88c7e76986243cf0b988d8d7dc0eef6b58e07864 | [
"MIT"
] | null | null | null | import argparse
import numpy as np
import sys
sys.path.insert(0, '..') # NOQA: E402
parser = argparse.ArgumentParser()
parser.add_argument('--policy-path', type=str, nargs='?', default=None)
parser.add_argument('--play', action='store_true',
help='play given or latest stored policy.')
parser.add_a... | 38.568421 | 118 | 0.63619 | import pdb
import argparse
import matplotlib
import numpy as np
import gym, sys, time, os
import torch
import numpy as np
import datetime
sys.path.insert(0, '..') # NOQA: E402
from logger.logger import Logger
import utils
from mountain_car import MCFeatures, MCFeaturesOnehot
parser = argparse.ArgumentParser()
par... | 0 | 0 | 0 | 0 | 0 | 4,025 | 0 | 16 | 203 |
34f87cabe1432e440a2c44c39b5241ba4fafb621 | 3,918 | py | Python | nr.parsing.core/src/nr/parsing/core/tokenizer/ruleset.py | NiklasRosenstein/nr-python | dc5b31ae5773ea4522a6f35112792dde9e872bef | [
"MIT"
] | 3 | 2018-11-20T22:19:35.000Z | 2020-10-31T09:23:53.000Z | nr.parsing.core/src/nr/parsing/core/tokenizer/ruleset.py | NiklasRosenstein/python-nr | dc5b31ae5773ea4522a6f35112792dde9e872bef | [
"MIT"
] | 3 | 2021-08-09T00:14:26.000Z | 2021-08-09T00:28:27.000Z | nr.parsing.core/src/nr/parsing/core/tokenizer/ruleset.py | NiklasRosenstein/nr-python | dc5b31ae5773ea4522a6f35112792dde9e872bef | [
"MIT"
] | 3 | 2019-03-22T06:15:17.000Z | 2020-10-31T09:23:53.000Z | import typing as t
if t.TYPE_CHECKING:
T = t.TypeVar('T')
U = t.TypeVar('U')
V = t.TypeVar('V')
R = t.TypeVar('R')
| 29.458647 | 98 | 0.667688 |
import contextlib
import typing as t
from dataclasses import dataclass
from ..scanner import Scanner
if t.TYPE_CHECKING:
from .extractor import TokenExtractor
T = t.TypeVar('T')
U = t.TypeVar('U')
V = t.TypeVar('V')
R = t.TypeVar('R')
@dataclass
class Sentinel(t.Generic[T, U]):
type: T
value: U
@dataclass... | 0 | 909 | 0 | 2,671 | 0 | 0 | 0 | 32 | 184 |
6bbe5d2a02bded07f7cafa565ca1011f98c09985 | 734 | py | Python | coniii/test_utils.py | bcdaniels/coniii | 50218dc571135dd08b441361da33fed64a8eebc4 | [
"MIT"
] | 10 | 2018-01-26T09:52:17.000Z | 2019-04-02T13:34:53.000Z | coniii/test_utils.py | bcdaniels/coniii | 50218dc571135dd08b441361da33fed64a8eebc4 | [
"MIT"
] | 19 | 2017-04-19T17:05:50.000Z | 2019-01-20T20:54:06.000Z | coniii/test_utils.py | bcdaniels/coniii | 50218dc571135dd08b441361da33fed64a8eebc4 | [
"MIT"
] | 3 | 2017-04-19T16:58:05.000Z | 2018-10-22T19:14:04.000Z | from __future__ import division
def test_state_gen_and_count():
"""Test generation of binary states using bin_states() and xbin_states()."""
assert np.array_equal( bin_states(5),np.vstack([i for i in xbin_states(5)]) )
states = bin_states(5)
p,s = state_probs(states)
assert (p==1/32).all()
ass... | 28.230769 | 81 | 0.63624 | from __future__ import division
from utils import *
def test_sub_to_ind():
for n in xrange(2,5):
counter = 0
for i,j in combinations(range(n),2):
assert sub_to_ind(n,i,j)==counter
assert ind_to_sub(n,counter)==(i,j)
counter += 1
def test_state_gen_and_count():
... | 0 | 0 | 0 | 0 | 0 | 211 | 0 | -2 | 45 |
d2697b8cee1ae168ceb349d5972a5029bb7ed9db | 838 | py | Python | exercicios/ex056b.py | DeyvisonR/curso_python | 983b634d39f542369628ae48c7449ea75fd1ebbd | [
"MIT"
] | null | null | null | exercicios/ex056b.py | DeyvisonR/curso_python | 983b634d39f542369628ae48c7449ea75fd1ebbd | [
"MIT"
] | null | null | null | exercicios/ex056b.py | DeyvisonR/curso_python | 983b634d39f542369628ae48c7449ea75fd1ebbd | [
"MIT"
] | null | null | null | soma = 0
cont = 0
maior = 0
mulher = 0
nomemaisvelho = ''
for p in range(1, 5):
print(f'----- {p} pessoa -----')
nome = str(input('nome: ')).strip()
idade = int(input('idade: '))
sexo = str(input('sexo [M/F]: ')).strip().lower()
soma = idade + soma
cont = cont + 1
if p == 1 and sexo == 'm':
... | 29.928571 | 79 | 0.547733 | soma = 0
cont = 0
maior = 0
mulher = 0
nomemaisvelho = ''
for p in range(1, 5):
print(f'----- {p}ª pessoa -----')
nome = str(input('nome: ')).strip()
idade = int(input('idade: '))
sexo = str(input('sexo [M/F]: ')).strip().lower()
soma = idade + soma
cont = cont + 1
if p == 1 and sexo == 'm':... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e5c50c04b31164b92292c1fe2313cfdab744cbfe | 659 | py | Python | parser/team26/G26/Instrucciones/DML/update.py | susanliss/tytus | a613a2352cf4a1d0e90ce27bb346ab60ed8039cc | [
"MIT"
] | 1 | 2021-01-09T05:32:35.000Z | 2021-01-09T05:32:35.000Z | parser/team26/G26/Instrucciones/DML/update.py | XiomRB/tytus | 0873e4bdce5c110bee6ef2aa98240be6a93ae024 | [
"MIT"
] | null | null | null | parser/team26/G26/Instrucciones/DML/update.py | XiomRB/tytus | 0873e4bdce5c110bee6ef2aa98240be6a93ae024 | [
"MIT"
] | null | null | null | import sys
sys.path.append('../G26/Instrucciones')
| 21.966667 | 69 | 0.660091 | import sys
sys.path.append('../G26/Instrucciones')
from instruccion import *
class Update(Instruccion):
def __init__(self, tableid, asignaciones = [], condiciones = []):
self.tableid = tableid
self.asignaciones = asignaciones
self.condiciones = condiciones
def execute(self):
... | 0 | 0 | 0 | 535 | 0 | 0 | 0 | 4 | 69 |
efec58b37a6b309b204c9cecd14c0f798a333343 | 2,258 | py | Python | example_stage.py | SimonDaNinja/2D_Platform | 56fd708d306dd45afa2b695492dc6517134aa045 | [
"MIT"
] | 1 | 2021-04-02T20:38:42.000Z | 2021-04-02T20:38:42.000Z | example_stage.py | SimonDaNinja/2D_Platform | 56fd708d306dd45afa2b695492dc6517134aa045 | [
"MIT"
] | null | null | null | example_stage.py | SimonDaNinja/2D_Platform | 56fd708d306dd45afa2b695492dc6517134aa045 | [
"MIT"
] | null | null | null | #---------------
#MIT License
#Copyright (c) 2019 Simon Liljestrand
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, ... | 35.84127 | 91 | 0.736935 | #---------------
#MIT License
#Copyright (c) 2019 Simon Liljestrand
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9aeac8d4cde040c2bf4ea72b342d583dce376fc0 | 1,001 | py | Python | mtdb/eval/unused/local-and-ebs-mag/throughput-latency/Conf.py | hobinyoon/mutants-cassandra-2.2.3 | a26821726dcedbb5a96a02e649d552e06815ea5f | [
"Apache-2.0"
] | null | null | null | mtdb/eval/unused/local-and-ebs-mag/throughput-latency/Conf.py | hobinyoon/mutants-cassandra-2.2.3 | a26821726dcedbb5a96a02e649d552e06815ea5f | [
"Apache-2.0"
] | 2 | 2016-07-06T14:38:40.000Z | 2016-07-07T16:41:20.000Z | mtdb/eval/unused/local-and-ebs-mag/throughput-latency/Conf.py | hobinyoon/mutants-cassandra-2.2.3 | a26821726dcedbb5a96a02e649d552e06815ea5f | [
"Apache-2.0"
] | 1 | 2015-11-07T03:07:04.000Z | 2015-11-07T03:07:04.000Z | import sys
sys.path.insert(0, "../../../util/python")
_conf = None
# Implement when needed
| 25.025 | 126 | 0.755245 | import argparse
import sys
import yaml
sys.path.insert(0, "../../../util/python")
import Cons
_conf = None
def Init():
_ParseYaml()
#_ParseCmdlineArgs()
def Get(key):
return _conf[key]
def _ParseYaml():
global _conf
with open("configuration.yaml", 'r') as stream:
_conf = yaml.load(stream)
#Cons.P(_conf)... | 0 | 0 | 0 | 0 | 0 | 773 | 0 | -26 | 157 |
6aa70387d9c785be792414a0f4abdbc04d5dcd35 | 3,344 | py | Python | ann_solution/inference.py | michaellengyel/Rat_Logger | ea0627aa4fadfd587725495818c3f3dbb818151e | [
"Apache-2.0"
] | null | null | null | ann_solution/inference.py | michaellengyel/Rat_Logger | ea0627aa4fadfd587725495818c3f3dbb818151e | [
"Apache-2.0"
] | null | null | null | ann_solution/inference.py | michaellengyel/Rat_Logger | ea0627aa4fadfd587725495818c3f3dbb818151e | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
import torchvision.transforms as transforms
if __name__ == '__main__':
main()
| 30.678899 | 162 | 0.632177 | import torch
import torch.nn as nn
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
class RatNet(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
... | 0 | 0 | 0 | 1,180 | 0 | 1,800 | 0 | 29 | 225 |
8c8b6d16519c9b33cc933584b02e1a244bc29d16 | 1,443 | py | Python | ddpg-pendulum/main.py | xlnwel/deep-reinforcement-learning | 59581b9e3402f9e4dc8763d8bc2f54df88f3d885 | [
"MIT"
] | 7 | 2018-08-18T17:13:33.000Z | 2020-05-03T00:12:41.000Z | ddpg-pendulum/main.py | xlnwel/deep-reinforcement-learning | 59581b9e3402f9e4dc8763d8bc2f54df88f3d885 | [
"MIT"
] | null | null | null | ddpg-pendulum/main.py | xlnwel/deep-reinforcement-learning | 59581b9e3402f9e4dc8763d8bc2f54df88f3d885 | [
"MIT"
] | 4 | 2018-10-29T02:43:29.000Z | 2019-02-12T05:08:53.000Z | import gym
# imort matplotlib.pyplot as plt
from MyAgent import Agent
env = gym.make('Pendulum-v0')
env.seed(2)
agent = Agent(state_size=3, action_size=1)
scores = ddpg()
# fig = plt.figure()
# ax = fig.add_subplot(111)
# plt.plot(np.arange(1, len(scores)+1), scores)
# plt.ylabel('Score')
# plt.xlabel('Episode #')
#... | 32.066667 | 101 | 0.629245 | import gym
import random
import torch
import numpy as np
from collections import deque
# imort matplotlib.pyplot as plt
from MyAgent import Agent
env = gym.make('Pendulum-v0')
env.seed(2)
agent = Agent(state_size=3, action_size=1)
def ddpg(n_episodes=1000, max_t=300, print_every=100):
scores_deque = deque(maxlen=... | 0 | 0 | 0 | 0 | 0 | 1,013 | 0 | -12 | 111 |
4b483af26b27d5c60b10cc101f5caa6d0b4f4af5 | 485 | py | Python | voxel_globe/ingest/tasks.py | ngageoint/voxel-globe | 91f386de652b704942165889c10468b2c4cf4eec | [
"MIT"
] | 28 | 2015-07-27T23:57:24.000Z | 2020-04-05T15:10:52.000Z | voxel_globe/ingest/tasks.py | VisionSystemsInc/voxel_globe | 6eb3fca5586726428e9d914f7b730ca164c64a52 | [
"MIT"
] | 50 | 2016-02-11T15:50:22.000Z | 2016-10-27T22:38:27.000Z | voxel_globe/ingest/tasks.py | ngageoint/voxel-globe | 91f386de652b704942165889c10468b2c4cf4eec | [
"MIT"
] | 8 | 2015-07-27T19:22:03.000Z | 2021-01-04T09:44:48.000Z |
from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
| 28.529412 | 77 | 0.802062 | from voxel_globe.common_tasks import shared_task, VipTask
from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
@shared_task(base=VipTask, bind=True)
def cleanup(self, upload_session_id):
''' Clean up after successful ingest
Currently this only entails removing the upload session ... | 0 | 321 | 0 | 0 | 0 | 0 | 0 | 36 | 45 |
34fcd78f59e4ffbb673bcddd783c944205d0744b | 8,250 | py | Python | extra_files/lambda.py | rishabh-goel/Rishabh_Goel_CS441_HW3 | 09768825edd11afa2dd3186851c2668c1cef9214 | [
"Apache-2.0"
] | null | null | null | extra_files/lambda.py | rishabh-goel/Rishabh_Goel_CS441_HW3 | 09768825edd11afa2dd3186851c2668c1cef9214 | [
"Apache-2.0"
] | null | null | null | extra_files/lambda.py | rishabh-goel/Rishabh_Goel_CS441_HW3 | 09768825edd11afa2dd3186851c2668c1cef9214 | [
"Apache-2.0"
] | null | null | null | import boto3
import re
s3 = boto3.client('s3')
GET_RAW_PATH = '/getLogCount'
POST_RAW_PATH = '/postLogCount'
GRPC_RAW_PATH = '/GRPC'
TEST_RAW_PATH = '/test'
regexPattern = re.compile('([a-c][e-g][0-3]|[A-Z][5-9][f-w]){5,15}')
## Method to parse input for GET, POST, GRPC requests
## Method to parse input for Test ca... | 38.732394 | 106 | 0.621939 | import json
import boto3
import re
import datetime
s3 = boto3.client('s3')
GET_RAW_PATH = '/getLogCount'
POST_RAW_PATH = '/postLogCount'
GRPC_RAW_PATH = '/GRPC'
TEST_RAW_PATH = '/test'
regexPattern = re.compile('([a-c][e-g][0-3]|[A-Z][5-9][f-w]){5,15}')
## Method to parse input for GET, POST, GRPC requests
def getIn... | 0 | 0 | 0 | 0 | 0 | 7,612 | 0 | -16 | 154 |
0d1c2f707a84ac2af7189b219b6c863866eda165 | 421 | py | Python | 10_learn_openpyxl/write_image.py | shikechen/LearnPython | aa7b914779702c650733c2e95fad1b9dd2c1cb50 | [
"Apache-2.0"
] | null | null | null | 10_learn_openpyxl/write_image.py | shikechen/LearnPython | aa7b914779702c650733c2e95fad1b9dd2c1cb50 | [
"Apache-2.0"
] | null | null | null | 10_learn_openpyxl/write_image.py | shikechen/LearnPython | aa7b914779702c650733c2e95fad1b9dd2c1cb50 | [
"Apache-2.0"
] | null | null | null | """
Author: shikechen
Function: Write image to sheet
Version: 1.0
Date: 2019/3/6
"""
if __name__ == '__main__':
main()
| 16.84 | 42 | 0.643705 | """
Author: shikechen
Function: Write image to sheet
Version: 1.0
Date: 2019/3/6
"""
from openpyxl import Workbook
from openpyxl.drawing.image import Image
def main():
book = Workbook()
sheet = book.active
img = Image('dream_lake_colorado.png')
sheet['A1'] = 'Beautiful scenery'
s... | 0 | 0 | 0 | 0 | 0 | 185 | 0 | 27 | 67 |
ac5eba834fdc677c381d2e7ae04fddee91bf71b1 | 1,837 | py | Python | imgToTextColor.py | fizzrepo/Video-to-Text | 699db051b3dec96e14f7495722ee24f091e03716 | [
"MIT"
] | 1 | 2022-03-15T17:22:34.000Z | 2022-03-15T17:22:34.000Z | imgToTextColor.py | fizzrepo/Video-to-Text | 699db051b3dec96e14f7495722ee24f091e03716 | [
"MIT"
] | null | null | null | imgToTextColor.py | fizzrepo/Video-to-Text | 699db051b3dec96e14f7495722ee24f091e03716 | [
"MIT"
] | 1 | 2022-03-14T17:18:13.000Z | 2022-03-14T17:18:13.000Z | import numpy as np
import pickle
# Load in color lookup table data
with open('colors.pkl', 'rb') as f:
LERPED = pickle.load(f)
LUT = np.load('LUT.npy')
def set_color(bg, fg):
'''
Generates a character sequence to set the foreground and background colors
'''
return f'\u001b[48;5;{bg... | 28.261538 | 83 | 0.559064 | import numpy as np
import pickle
# Load in color lookup table data
with open('colors.pkl', 'rb') as f:
LERPED = pickle.load(f)
LUT = np.load('LUT.npy')
def set_color(bg, fg):
'''
Generates a character sequence to set the foreground and background colors
'''
return f'\u001b[48;5;{bg... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
56d0ecb05cc73a86cd5f3c0e5f67c43ac55f2d2a | 1,713 | py | Python | ace/samples/breiman85.py | partofthething/ace | 689d0caac3ba0708444be6ebf62627137b08ae46 | [
"MIT"
] | 47 | 2015-04-29T06:52:03.000Z | 2022-03-15T11:05:01.000Z | ace/samples/breiman85.py | Jimmy-INL/ace | 689d0caac3ba0708444be6ebf62627137b08ae46 | [
"MIT"
] | 12 | 2015-05-29T15:21:25.000Z | 2020-10-08T15:03:41.000Z | ace/samples/breiman85.py | Jimmy-INL/ace | 689d0caac3ba0708444be6ebf62627137b08ae46 | [
"MIT"
] | 22 | 2015-06-02T17:30:35.000Z | 2022-02-16T20:46:24.000Z | """Run the Sample ACE problem from [Breiman85]_."""
import numpy.random
import scipy.special
from ace import ace
def build_sample_ace_problem_breiman85(N=200):
"""Sample problem from Breiman 1985."""
x_cubed = numpy.random.standard_normal(N)
x = scipy.special.cbrt(x_cubed)
noise = numpy.random.stand... | 25.954545 | 67 | 0.649154 | """Run the Sample ACE problem from [Breiman85]_."""
import numpy.random
import scipy.special
from ace import ace
def build_sample_ace_problem_breiman85(N=200):
"""Sample problem from Breiman 1985."""
x_cubed = numpy.random.standard_normal(N)
x = scipy.special.cbrt(x_cubed)
noise = numpy.random.stand... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5b077fb5a268307f3cef04f6d4fc0dd242b3a15c | 1,511 | py | Python | src/entity_linker/readers/config.py | mjstrobl/WEXEA | 0af0be1cdb93fc00cd81f885aa15ef8d6579b304 | [
"Apache-2.0"
] | 10 | 2020-06-14T15:46:53.000Z | 2021-04-29T15:02:23.000Z | src/entity_linker/readers/config.py | mjstrobl/WEXEA | 0af0be1cdb93fc00cd81f885aa15ef8d6579b304 | [
"Apache-2.0"
] | 3 | 2021-08-25T16:16:45.000Z | 2022-02-10T04:29:10.000Z | src/entity_linker/readers/config.py | mjstrobl/WEXEA | 0af0be1cdb93fc00cd81f885aa15ef8d6579b304 | [
"Apache-2.0"
] | 1 | 2021-02-17T17:44:06.000Z | 2021-02-17T17:44:06.000Z | """
Modifications copyright (C) 2020 Michael Strobl
"""
import pprint
pp = pprint.PrettyPrinter()
if __name__=='__main__':
c = Config("configs/allnew_mentions_config.ini", verbose=True)
| 27.981481 | 73 | 0.64593 | """
Modifications copyright (C) 2020 Michael Strobl
"""
import pprint
import configparser
pp = pprint.PrettyPrinter()
class Config(object):
def __init__(self, paths_config, verbose=False):
config = configparser.ConfigParser()
config._interpolation = configparser.ExtendedInterpolation()
co... | 0 | 0 | 0 | 1,275 | 0 | 0 | 0 | -2 | 45 |
02731303dd2b95f83367d78fede4715419f9c5b4 | 7,001 | py | Python | utils/helper_models.py | aaqib-ali/Flight_Delay-Prediction | 6f849a60d0705d0f86beccf302e4953dafbee777 | [
"MIT"
] | null | null | null | utils/helper_models.py | aaqib-ali/Flight_Delay-Prediction | 6f849a60d0705d0f86beccf302e4953dafbee777 | [
"MIT"
] | null | null | null | utils/helper_models.py | aaqib-ali/Flight_Delay-Prediction | 6f849a60d0705d0f86beccf302e4953dafbee777 | [
"MIT"
] | null | null | null | # sklearn
# sklearn
# from this project
import utils.common as common
# Function to calculate missing values by column
| 32.714953 | 140 | 0.6989 | import pandas as pd
import dill as pickle
# sklearn
from sklearn.model_selection import train_test_split
import json
import os
import numpy as np
import matplotlib.pyplot as plt
import itertools
from collections import Counter
# sklearn
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import roc_au... | 0 | 0 | 0 | 0 | 0 | 6,182 | 0 | 152 | 538 |
727d355b83b641b8f67e979604f60f9994140c64 | 3,965 | py | Python | IPython/nbconvert/utils/console.py | chebee7i/ipython | 85b169fa3afc3d374973295c7f1409ededddbaca | [
"BSD-3-Clause-Clear"
] | 2 | 2015-02-10T18:00:31.000Z | 2015-05-01T02:53:46.000Z | IPython/nbconvert/utils/console.py | chebee7i/ipython | 85b169fa3afc3d374973295c7f1409ededddbaca | [
"BSD-3-Clause-Clear"
] | null | null | null | IPython/nbconvert/utils/console.py | chebee7i/ipython | 85b169fa3afc3d374973295c7f1409ededddbaca | [
"BSD-3-Clause-Clear"
] | 1 | 2021-05-22T13:52:12.000Z | 2021-05-22T13:52:12.000Z | """Utility functions for interacting with the console"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, the IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this ... | 32.768595 | 93 | 0.540731 | """Utility functions for interacting with the console"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, the IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c9263fd639d60076d028c1812c0b20f6dab313a3 | 279 | py | Python | src/run.py | elipavlov/items | c935e3321284af251c3339e72531f26e9dd64802 | [
"MIT"
] | null | null | null | src/run.py | elipavlov/items | c935e3321284af251c3339e72531f26e9dd64802 | [
"MIT"
] | null | null | null | src/run.py | elipavlov/items | c935e3321284af251c3339e72531f26e9dd64802 | [
"MIT"
] | null | null | null | # coding=utf-8
from os import sys, path
from logging import getLogger
from items.view import app
sys.path.append(path.dirname(path.abspath(__file__)))
logger = getLogger(__name__)
logger.info(sys.path)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080)
| 13.285714 | 53 | 0.716846 | # coding=utf-8
from os import sys, path
from logging import getLogger
from items.view import app
sys.path.append(path.dirname(path.abspath(__file__)))
logger = getLogger(__name__)
logger.info(sys.path)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e732c22894abd5f1d154324b3c2e6fecb4f9e857 | 22,935 | py | Python | tethys_cli/gen_commands.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | null | null | null | tethys_cli/gen_commands.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | null | null | null | tethys_cli/gen_commands.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | null | null | null | """
********************************************************************************
* Name: gen_commands.py
* Author: Nathan Swain
* Created On: 2015
* Copyright: (c) Brigham Young University 2015
* License: BSD 2-Clause
********************************************************************************
"""
import os
fro... | 48.591102 | 120 | 0.631349 | """
********************************************************************************
* Name: gen_commands.py
* Author: Nathan Swain
* Created On: 2015
* Copyright: (c) Brigham Young University 2015
* License: BSD 2-Clause
********************************************************************************
"""
import os
imp... | 0 | 0 | 0 | 0 | 0 | 20,356 | 0 | 38 | 433 |
d4d14ac14b85a0a8efbb2402cd9f83dbde86d1d6 | 2,040 | py | Python | backend/Solve.py | Hasnae-bouhmady/Sudoku-Solver-machine-learning | 9cf967d274df24ba473c12134f7d91ffbd3637bc | [
"MIT"
] | 3 | 2021-12-12T23:26:23.000Z | 2022-02-02T20:43:56.000Z | backend/Solve.py | Hasnae-bouhmady/Sudoku-Solver-machine-learning | 9cf967d274df24ba473c12134f7d91ffbd3637bc | [
"MIT"
] | null | null | null | backend/Solve.py | Hasnae-bouhmady/Sudoku-Solver-machine-learning | 9cf967d274df24ba473c12134f7d91ffbd3637bc | [
"MIT"
] | 1 | 2021-12-12T23:30:13.000Z | 2021-12-12T23:30:13.000Z |
if __name__ == "__main__":
grid = [[0 for x in range(9)] for y in range(9)]
grid = [[3, 0, 6, 5, 0, 8, 4, 0, 0],
[5, 2, 0, 0, 0, 0, 0, 0, 0],
[0, 8, 7, 0, 0, 0, 0, 3, 1],
[0, 0, 3, 0, 1, 0, 0, 8, 0],
[9, 0, 0, 8, 6, 3, 0, 0, 5],
... | 23.181818 | 137 | 0.429902 | def print_grid(arr):
for i in range(9):
for j in range(9):
print(arr[i][j], " " , end="")
print("")
def find_empty_location(arr, l):
for row in range(9):
for col in range(9):
if (arr[row][col] == 0):
l[0] = row
l[1] = co... | 0 | 0 | 0 | 0 | 0 | 1,273 | 0 | 0 | 173 |
ede5060dd70e8ed7ad17b5066c34d6fe825ce088 | 1,043 | py | Python | docs/conf.py | squarethecircle/hymn | 5cd291cc9d377b374c238fc154b020d534a6dcea | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | squarethecircle/hymn | 5cd291cc9d377b374c238fc154b020d534a6dcea | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | squarethecircle/hymn | 5cd291cc9d377b374c238fc154b020d534a6dcea | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Hymn documentation build configuration file
import os
import sys
PROJECT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '../'))
sys.path.insert(0, PROJECT_DIR)
import hymn
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.coverage',
'sphinx.ext.viewcode',
]
sourc... | 17.982759 | 77 | 0.677852 | # -*- coding: utf-8 -*-
#
# Hymn documentation build configuration file
import os
import sys
PROJECT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '../'))
sys.path.insert(0, PROJECT_DIR)
import hymn
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.coverage',
'sphinx.ext.viewcode',
]
sourc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6f9eab99af42002e0f7f05b4838bcc2129e0bed3 | 1,334 | py | Python | we-web/services/real/voices.py | h-qub/wordeater-web | 9a336d1e467d08c6b3875bd8b83dea0dc3b9236d | [
"MIT"
] | null | null | null | we-web/services/real/voices.py | h-qub/wordeater-web | 9a336d1e467d08c6b3875bd8b83dea0dc3b9236d | [
"MIT"
] | 3 | 2016-03-11T08:43:47.000Z | 2016-11-01T13:07:48.000Z | we-web/services/real/voices.py | h-qub/wordeater-web | 9a336d1e467d08c6b3875bd8b83dea0dc3b9236d | [
"MIT"
] | null | null | null | # coding=utf-8
__author__ = 'Glebov Boris'
| 23 | 77 | 0.574963 | # coding=utf-8
from services.base import BaseService
from services.service_locator import ServiceLocator
from logger import error
__author__ = 'Glebov Boris'
class VoicesService(BaseService):
def __init__(self):
BaseService.__init__(self)
def get(self, text):
"""
Try to find voice i... | 88 | 0 | 0 | 1,106 | 0 | 0 | 0 | 49 | 90 |
7645b899e4921a3987e32469e1005cfa80ca5d7b | 7,328 | py | Python | Dataset/create_dataset_JPS.py | mawanda-jun/NoLabels | 6861867ad5ab49fc7ae6f562977f60195f9ff216 | [
"MIT"
] | 1 | 2021-05-27T09:41:58.000Z | 2021-05-27T09:41:58.000Z | Dataset/create_dataset_JPS.py | mawanda-jun/NoLabels | 6861867ad5ab49fc7ae6f562977f60195f9ff216 | [
"MIT"
] | null | null | null | Dataset/create_dataset_JPS.py | mawanda-jun/NoLabels | 6861867ad5ab49fc7ae6f562977f60195f9ff216 | [
"MIT"
] | null | null | null | import os
from typing import List
import random
import h5py
import numpy as np
from PIL import Image, ImageFile
# force pillow to load also truncated images
ImageFile.LOAD_TRUNCATED_IMAGES = True
# number of images to take from the folder
N_EL = int(5e5)
# path/to/folder that contains the images. No particular structu... | 39.397849 | 121 | 0.609989 | import os
from typing import List
import random
import h5py
import numpy as np
from PIL import Image, ImageFile
import threading
# force pillow to load also truncated images
ImageFile.LOAD_TRUNCATED_IMAGES = True
# number of images to take from the folder
N_EL = int(5e5)
# path/to/folder that contains the images. No p... | 0 | 0 | 0 | 2,645 | 0 | 0 | 0 | -5 | 45 |
2f3c579b4337afc0afba19e7860fbba1c1305085 | 1,866 | py | Python | FileGather.py | stevenjson/CuisineClassifying | 349fbcadcd9a47deaaf94b4452870f531b137899 | [
"MIT"
] | 20 | 2017-10-31T11:01:40.000Z | 2021-08-04T18:07:18.000Z | FileGather.py | stevenjson/CuisineClassifying | 349fbcadcd9a47deaaf94b4452870f531b137899 | [
"MIT"
] | null | null | null | FileGather.py | stevenjson/CuisineClassifying | 349fbcadcd9a47deaaf94b4452870f531b137899 | [
"MIT"
] | 5 | 2019-05-20T19:57:38.000Z | 2020-04-14T04:51:09.000Z | import urllib.request
import os
import argparse
from bs4 import BeautifulSoup
parser = argparse.ArgumentParser()
parser.add_argument("url", type=str, nargs=1, help="Main url with list of recipe URLs")
parser.add_argument("cuisine", type=str, nargs=1, help="Type of cuisine on the main url page")
parser.add_argument("pa... | 27.850746 | 94 | 0.651661 | import urllib.request
import os
import argparse
from bs4 import BeautifulSoup
parser = argparse.ArgumentParser()
parser.add_argument("url", type=str, nargs=1, help="Main url with list of recipe URLs")
parser.add_argument("cuisine", type=str, nargs=1, help="Type of cuisine on the main url page")
parser.add_argument("pa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3a790c549b7fb6bb73028e5521bff4c96bf60cf4 | 979 | py | Python | setting.py | AlexRamAlv/following_requests | cd7bc3bbe5675562b0544b14492d5330061dbdc2 | [
"MIT"
] | null | null | null | setting.py | AlexRamAlv/following_requests | cd7bc3bbe5675562b0544b14492d5330061dbdc2 | [
"MIT"
] | null | null | null | setting.py | AlexRamAlv/following_requests | cd7bc3bbe5675562b0544b14492d5330061dbdc2 | [
"MIT"
] | null | null | null | """
Here are declare all the settings of the app.
1. Database configurations.
2. Develop config
3. Prod config
4. Also default config that is develop
"""
import os
# file' path
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
#main class configuration
# Develop configuration
... | 26.459459 | 121 | 0.691522 | """
Here are declare all the settings of the app.
1. Database configurations.
2. Develop config
3. Prod config
4. Also default config that is develop
"""
import os
# file' path
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
#main class configuration
class Config:
SECRET_... | 0 | 28 | 0 | 403 | 0 | 0 | 0 | 0 | 66 |
405d33839e2a90b181857aecdd3b4a29dabb0667 | 3,083 | py | Python | datahub/dataset/company_referral/test/test_views.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 6 | 2019-12-02T16:11:24.000Z | 2022-03-18T10:02:02.000Z | datahub/dataset/company_referral/test/test_views.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 1,696 | 2019-10-31T14:08:37.000Z | 2022-03-29T12:35:57.000Z | datahub/dataset/company_referral/test/test_views.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 9 | 2019-11-22T12:42:03.000Z | 2021-09-03T14:25:05.000Z | from datahub.core.test_utils import format_date_or_datetime, get_attr_or_none
def get_expected_data_from_company_referral(referral):
"""Returns company referral data as a dictionary"""
return {
'company_id': str(referral.company_id),
'completed_by_id': get_attr_or_none(referral, 'completed_by_... | 39.525641 | 99 | 0.692507 | import pytest
from django.urls import reverse
from freezegun import freeze_time
from rest_framework import status
from datahub.company_referral.test.factories import (
ClosedCompanyReferralFactory,
CompanyReferralFactory,
)
from datahub.core.test_utils import format_date_or_datetime, get_attr_or_none
from data... | 0 | 1,847 | 0 | 0 | 0 | 0 | 0 | 158 | 156 |
bc82c39d125f223e4aa09c5efc2af2c10af7d92c | 28,389 | py | Python | aws_iam_tester/lib/aws_iam_tester.py | paprins/aws-iam-tester | 57898fb4dfcb4acaae7bc21954c1324fa100b75a | [
"MIT"
] | null | null | null | aws_iam_tester/lib/aws_iam_tester.py | paprins/aws-iam-tester | 57898fb4dfcb4acaae7bc21954c1324fa100b75a | [
"MIT"
] | null | null | null | aws_iam_tester/lib/aws_iam_tester.py | paprins/aws-iam-tester | 57898fb4dfcb4acaae7bc21954c1324fa100b75a | [
"MIT"
] | null | null | null | """
The AwsIamTester class implements all necessary logic to run validations on an account, role or user.
"""
# pylint: disable=broad-except,C0103,E0401,R0912,R0913,R0914,R0915,R1702,W0603,W1203
from __future__ import annotations
| 36.868831 | 125 | 0.496847 | """
The AwsIamTester class implements all necessary logic to run validations on an account, role or user.
"""
# pylint: disable=broad-except,C0103,E0401,R0912,R0913,R0914,R0915,R1702,W0603,W1203
from __future__ import annotations
import os
import sys
import errno
import json
import logging
import re
import time
impo... | 0 | 0 | 0 | 27,804 | 0 | 0 | 0 | -52 | 404 |
b776c6a61f581ef76c0481f426d55d7c88dd03e9 | 211 | py | Python | doc/python_time/code/02_calendar.py | CodeLingoBot/learn | d7ea19cb9a887ec60435698b9e945a110163eea2 | [
"CC-BY-4.0"
] | 1,235 | 2015-09-08T20:21:49.000Z | 2022-03-28T10:54:28.000Z | doc/python_time/code/02_calendar.py | fengpf/learn | d7ea19cb9a887ec60435698b9e945a110163eea2 | [
"CC-BY-4.0"
] | 10 | 2015-09-08T23:16:52.000Z | 2021-12-15T01:15:13.000Z | doc/python_time/code/02_calendar.py | fengpf/learn | d7ea19cb9a887ec60435698b9e945a110163eea2 | [
"CC-BY-4.0"
] | 183 | 2015-09-08T14:46:09.000Z | 2022-03-06T07:03:31.000Z | #!/usr/bin/python -u
import datetime
import calendar
if __name__ == "__main__":
print datetime.datetime.today().weekday() # 3
print calendar.day_name[datetime.datetime.today().weekday()]
# Thursday
| 23.444444 | 64 | 0.7109 | #!/usr/bin/python -u
import datetime
import calendar
if __name__ == "__main__":
print datetime.datetime.today().weekday() # 3
print calendar.day_name[datetime.datetime.today().weekday()]
# Thursday
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
67c6d1af0642e9ccab47e52c069fc9f1c7b24c19 | 1,694 | py | Python | filewatch/__main__.py | tinasty/filewatch | f9dca5187f259280429548ef6968bfcb920a72ae | [
"MIT"
] | null | null | null | filewatch/__main__.py | tinasty/filewatch | f9dca5187f259280429548ef6968bfcb920a72ae | [
"MIT"
] | null | null | null | filewatch/__main__.py | tinasty/filewatch | f9dca5187f259280429548ef6968bfcb920a72ae | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
try:
start()
except FileNotFoundError:
print("Use --help to see help information") | 40.333333 | 105 | 0.587367 | from rich.console import Console
import subprocess as sp
import time
import click
class App:
def __init__(self,filepath : str,arguments : str,delay : int):
self.filepath = filepath
self.arguments = arguments
self.delay = delay
Console().rule('[#51D6FF]<FILEWATCH IS START... | 0 | 399 | 0 | 1,016 | 0 | 0 | 0 | -6 | 142 |
7d904ef021f40408c9a19ea6d4846ad70181217a | 849 | py | Python | json-to-md.py | vileppanen/json-documentor | e9f4f7c7e41af805aaf15c97e5198df26c061388 | [
"MIT"
] | null | null | null | json-to-md.py | vileppanen/json-documentor | e9f4f7c7e41af805aaf15c97e5198df26c061388 | [
"MIT"
] | 1 | 2021-04-30T13:01:14.000Z | 2021-05-01T06:11:18.000Z | json-to-md.py | vileppanen/json-documentor | e9f4f7c7e41af805aaf15c97e5198df26c061388 | [
"MIT"
] | null | null | null | import json
import os
from lib.object_documentor import (documentize_object, documentize_prop, documentize_array)
file_name = input("Specify json to document: ")
file = open(file_name)
data = json.load(file)
# Iterating through the json
lines = [" Prop | Type | Description | Example \n", "----|----|----|----\n"]
fo... | 24.257143 | 76 | 0.650177 | import json
import os
from lib.object_documentor import (
documentize_object,
documentize_prop,
documentize_array,
)
file_name = input("Specify json to document: ")
file = open(file_name)
data = json.load(file)
# Iterating through the json
lines = [" Prop | Type | Description | Example \n", "----|----|-... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 |
8a5bb6ed166aa99acc59213fa8d390cd9c45b467 | 210 | py | Python | scripts/item/consume_2435313.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/item/consume_2435313.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/item/consume_2435313.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | # Blackheart Day Damage Skin
success = sm.addDamageSkin(2435313)
if success:
sm.chat("The Blackheart Day Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2435313)
| 35 | 102 | 0.757143 | # Blackheart Day Damage Skin
success = sm.addDamageSkin(2435313)
if success:
sm.chat("The Blackheart Day Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2435313)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e21494c36d4bd09deddf191d2fbd1641f39119c | 274 | py | Python | 11-Regular_Expressions/Exercises/6-Extract_the_Links.py | eclipse-ib/Software-University-Fundamentals_Module | 994ef75c70d1bae8e615dbb789aeffd6e0a42c34 | [
"MIT"
] | null | null | null | 11-Regular_Expressions/Exercises/6-Extract_the_Links.py | eclipse-ib/Software-University-Fundamentals_Module | 994ef75c70d1bae8e615dbb789aeffd6e0a42c34 | [
"MIT"
] | null | null | null | 11-Regular_Expressions/Exercises/6-Extract_the_Links.py | eclipse-ib/Software-University-Fundamentals_Module | 994ef75c70d1bae8e615dbb789aeffd6e0a42c34 | [
"MIT"
] | null | null | null | import re
string = ""
while True:
command = input()
if command == "":
break
else:
string += " "+command
search_patter = r"(www\.([A-Za-z0-9]+((-[A-Za-z0-9]+))*)\.([a-z]+((\.[a-z]+))*))"
for i in re.findall(search_patter, string):
print(i[0]) | 22.833333 | 81 | 0.510949 | import re
string = ""
while True:
command = input()
if command == "":
break
else:
string += " "+command
search_patter = r"(www\.([A-Za-z0-9]+((-[A-Za-z0-9]+))*)\.([a-z]+((\.[a-z]+))*))"
for i in re.findall(search_patter, string):
print(i[0]) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0d7cacd979e59285b82887ad14e076edd44a5d5a | 544 | py | Python | swagger_django_generator/templates/django/schemas.py | ClizzyJ/swagger-django-generator | a456b0aac949fbb34e6b45cbae19e0e2a6c02a41 | [
"BSD-3-Clause"
] | null | null | null | swagger_django_generator/templates/django/schemas.py | ClizzyJ/swagger-django-generator | a456b0aac949fbb34e6b45cbae19e0e2a6c02a41 | [
"BSD-3-Clause"
] | null | null | null | swagger_django_generator/templates/django/schemas.py | ClizzyJ/swagger-django-generator | a456b0aac949fbb34e6b45cbae19e0e2a6c02a41 | [
"BSD-3-Clause"
] | null | null | null | """
Do not modify this file. It is generated from the Swagger specification.
Container module for JSONSchema definitions.
This does not include inlined definitions.
The pretty-printing functionality provided by the json module is superior to
what is provided by pformat, hence the use of json.loads().
"""
import json
... | 25.904762 | 76 | 0.738971 | """
Do not modify this file. It is generated from the Swagger specification.
Container module for JSONSchema definitions.
This does not include inlined definitions.
The pretty-printing functionality provided by the json module is superior to
what is provided by pformat, hence the use of json.loads().
"""
import json
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9204fd76a8b05854e4a9ac9390c9732a8d38a53b | 11,560 | py | Python | vcd_cli/vapp_network_firewall.py | ltimothy7/vcd-cli | b30e6fa1b96c2d2f0153ea39e08034962f50c669 | [
"Apache-2.0",
"MIT"
] | 4 | 2019-01-11T05:05:39.000Z | 2019-08-14T07:04:39.000Z | vcd_cli/vapp_network_firewall.py | ltimothy7/vcd-cli | b30e6fa1b96c2d2f0153ea39e08034962f50c669 | [
"Apache-2.0",
"MIT"
] | null | null | null | vcd_cli/vapp_network_firewall.py | ltimothy7/vcd-cli | b30e6fa1b96c2d2f0153ea39e08034962f50c669 | [
"Apache-2.0",
"MIT"
] | 1 | 2020-08-31T21:10:50.000Z | 2020-08-31T21:10:50.000Z | # VMware vCloud Director Python SDK
# Copyright (c) 2014-2019 VMware, Inc. 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
... | 39.054054 | 79 | 0.627076 | # VMware vCloud Director Python SDK
# Copyright (c) 2014-2019 VMware, Inc. 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
... | 0 | 10,166 | 0 | 0 | 0 | 0 | 0 | 33 | 249 |
adc3b01fc06ad9db748363eae9bdd1841e0cff46 | 2,500 | py | Python | api/schema/schema.py | matchd-ch/matchd-backend | 84be4aab1b4708cae50a8988301b15df877c8db0 | [
"Apache-2.0"
] | 1 | 2022-03-03T09:55:57.000Z | 2022-03-03T09:55:57.000Z | api/schema/schema.py | matchd-ch/matchd-backend | 84be4aab1b4708cae50a8988301b15df877c8db0 | [
"Apache-2.0"
] | 7 | 2022-02-09T10:44:53.000Z | 2022-03-28T03:29:43.000Z | api/schema/schema.py | matchd-ch/matchd-backend | 84be4aab1b4708cae50a8988301b15df877c8db0 | [
"Apache-2.0"
] | null | null | null | import graphene
schema = graphene.Schema(query=Query, mutation=Mutation)
| 50 | 97 | 0.838 | import graphene
from graphene import relay
from api.schema.benefit import BenefitQuery
from api.schema.branch import BranchQuery
from api.schema.cultural_fit import CulturalFitQuery
from api.schema.dashboard import DashboardQuery
from api.schema.faq_category import FAQCategoryQuery
from api.schema.company import Compa... | 0 | 0 | 0 | 771 | 0 | 0 | 0 | 967 | 685 |
e10c61d4857a31141cadadc85b9babb7dbfba4a7 | 3,362 | py | Python | src/paper_sampler/paper_sampler.py | harshit158/paper-dots | cbb2fb36e0d0a55998d80c228d3f35b4df21e808 | [
"MIT"
] | 3 | 2021-03-31T12:46:45.000Z | 2022-02-25T18:37:50.000Z | src/paper_sampler/paper_sampler.py | harshit158/paper-dots | cbb2fb36e0d0a55998d80c228d3f35b4df21e808 | [
"MIT"
] | null | null | null | src/paper_sampler/paper_sampler.py | harshit158/paper-dots | cbb2fb36e0d0a55998d80c228d3f35b4df21e808 | [
"MIT"
] | 1 | 2021-07-12T08:19:41.000Z | 2021-07-12T08:19:41.000Z |
if __name__=='__main__':
paper_id = '0704.0001'
title = "Calculation of prompt diphoton production cross sections at Tevatron and LHC energies"
abstract = '''A fully differential calculation in perturbative quantum chromodynamics is presented for
the production of massive photon... | 44.236842 | 120 | 0.660024 | import pandas as pd
import h5py
from sentence_transformers import SentenceTransformer, util
import re
import pickle
class Sample():
"""Samples a relevant paper given an input, using corpus_embeddings
"""
def __init__(self):
# Reading corpus_embeddings
data=h5py.File('./data/corpus_emb... | 0 | 0 | 0 | 1,807 | 0 | 0 | 0 | 6 | 133 |
8c1d20e833da889207041b9c4c416d22d3948fad | 626 | py | Python | mmf/datasets/builders/visual_genome/masked_builder.py | dk25021999/mmf | 218057265a3fc175f656b5ebe8fb44ef5ccca2e9 | [
"BSD-3-Clause"
] | 3,252 | 2018-07-27T02:32:24.000Z | 2020-05-07T17:54:46.000Z | mmf/datasets/builders/visual_genome/masked_builder.py | dk25021999/mmf | 218057265a3fc175f656b5ebe8fb44ef5ccca2e9 | [
"BSD-3-Clause"
] | 914 | 2020-05-07T18:36:26.000Z | 2022-03-31T05:45:26.000Z | mmf/datasets/builders/visual_genome/masked_builder.py | dk25021999/mmf | 218057265a3fc175f656b5ebe8fb44ef5ccca2e9 | [
"BSD-3-Clause"
] | 490 | 2020-05-07T20:05:10.000Z | 2022-03-31T14:17:23.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
| 34.777778 | 88 | 0.785942 | # Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.visual_genome.builder import VisualGenomeBuilder
from mmf.datasets.builders.visual_genome.masked_dataset import MaskedVisualGenomeDataset
@registry.register_builder("masked_visual_genome")
class Mas... | 0 | 344 | 0 | 0 | 0 | 0 | 0 | 140 | 90 |
22f5fbf1bbb1a4ca5321e65775ed3512aa58d3cc | 1,391 | py | Python | samples/fn_lambdas_map.py | allancth/python3-with-linux | 11411296d3d6abf876f6fe290a0a3f1a40980354 | [
"MIT"
] | null | null | null | samples/fn_lambdas_map.py | allancth/python3-with-linux | 11411296d3d6abf876f6fe290a0a3f1a40980354 | [
"MIT"
] | null | null | null | samples/fn_lambdas_map.py | allancth/python3-with-linux | 11411296d3d6abf876f6fe290a0a3f1a40980354 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# The MIT License (MIT)
#
# Copyright (c) 2017 allancth
#
# 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... | 36.605263 | 80 | 0.716751 | #!/usr/bin/env python3
# The MIT License (MIT)
#
# Copyright (c) 2017 allancth
#
# 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... | 0 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 23 |
c17b631cbf0f5662370eab32fb96f3cf8126ad13 | 779 | py | Python | config.py | CS-savvy/Transformer-for-Parkinsons-disease | 42ef54071092f4aab74c8b9ec82c52e944806a5b | [
"MIT"
] | null | null | null | config.py | CS-savvy/Transformer-for-Parkinsons-disease | 42ef54071092f4aab74c8b9ec82c52e944806a5b | [
"MIT"
] | null | null | null | config.py | CS-savvy/Transformer-for-Parkinsons-disease | 42ef54071092f4aab74c8b9ec82c52e944806a5b | [
"MIT"
] | null | null | null | from pathlib import Path
EXP_NAME = 'Transformer32'
EPOCH = 20
EMBEDDING_DIM = 64
ENCODER_STACK = 6
ATTENTION_HEAD = 1
DROPOUT = 0.1
LR = 0.0001
BATCH_SIZE = 32
AUGMENTATION = None
MAX_FEATURE = 32
SMOTE_SEED = 23904
PYTORCH_SEED = 321295675063
PYTHON_SEED = 123146427
ML_SEED = 32129
MODEL_DIR = Path.cwd() / "models... | 26.862069 | 103 | 0.707317 | from pathlib import Path
EXP_NAME = 'Transformer32'
EPOCH = 20
EMBEDDING_DIM = 64
ENCODER_STACK = 6
ATTENTION_HEAD = 1
DROPOUT = 0.1
LR = 0.0001
BATCH_SIZE = 32
AUGMENTATION = None
MAX_FEATURE = 32
SMOTE_SEED = 23904
PYTORCH_SEED = 321295675063
PYTHON_SEED = 123146427
ML_SEED = 32129
MODEL_DIR = Path.cwd() / "models... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
274f85268a10113e874f5288ef77c05a0f3f3e92 | 10,291 | py | Python | herramientas/indice_contagio_por_comunas/indiceContagioComunas.py | DiazSalinas/COVID-19 | c79bc5487363a76baa2b9eb282991077eaeddf14 | [
"MIT"
] | 24 | 2020-04-02T04:35:32.000Z | 2020-08-11T00:48:06.000Z | herramientas/indice_contagio_por_comunas/indiceContagioComunas.py | DiazSalinas/COVID-19 | c79bc5487363a76baa2b9eb282991077eaeddf14 | [
"MIT"
] | 26 | 2020-04-03T15:07:15.000Z | 2020-09-01T08:12:08.000Z | herramientas/indice_contagio_por_comunas/indiceContagioComunas.py | DiazSalinas/COVID-19 | c79bc5487363a76baa2b9eb282991077eaeddf14 | [
"MIT"
] | 21 | 2020-04-02T21:29:08.000Z | 2020-09-01T19:25:22.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 31 11:55:42 2020
@author: esteban
"""
# Este script necesita que instales
# conda install geopandas
#conda install -c conda-forge descartes
fechaAAnalizar='2020-05-04'
alFecha=" al 04/05"
cuarentena_total=['Arica',
'Estacin Ce... | 10,291 | 10,291 | 0.611797 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 31 11:55:42 2020
@author: esteban
"""
# Este script necesita que instales
# conda install geopandas
#conda install -c conda-forge descartes
fechaAAnalizar='2020-05-04'
alFecha=" al 04/05"
cuarentena_total=['Arica',
'Estación C... | 44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
164b61f9259d225b2f38464d1695f315bbeed826 | 15,495 | py | Python | CVP_API/Snapshot_Utils/Snapshot_Reporter/SnapshotReporter.py | Hugh-Adams/Example_Scripts | 21cd3c2857ec41c6fef4108ca3614d1f1ee9d9c6 | [
"BSD-3-Clause"
] | 5 | 2019-06-03T14:42:25.000Z | 2022-03-03T21:04:29.000Z | CVP_API/Snapshot_Utils/Snapshot_Reporter/SnapshotReporter.py | Hugh-Adams/Example_Scripts | 21cd3c2857ec41c6fef4108ca3614d1f1ee9d9c6 | [
"BSD-3-Clause"
] | null | null | null | CVP_API/Snapshot_Utils/Snapshot_Reporter/SnapshotReporter.py | Hugh-Adams/Example_Scripts | 21cd3c2857ec41c6fef4108ca3614d1f1ee9d9c6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2019, Arista Networks, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
# - Redistributions of source code must retain the above copyright notice,
# ... | 43.525281 | 189 | 0.619619 | #!/usr/bin/env python
#
# Copyright (c) 2019, Arista Networks, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
# - Redistributions of source code must retain the above copyright notice,
# ... | 0 | 0 | 0 | 4,274 | 0 | 3,318 | 0 | 0 | 68 |
bea488599494de76a3ccf78b45f13020696eaa76 | 767 | py | Python | Algorithms/0048_Rotate_Image/Python/Rotate_Image_Solution_2.py | lht19900714/Leetcode_Solutions | dac7a038329a5c1f8a78e86cc6f49116b963f1fb | [
"MIT"
] | null | null | null | Algorithms/0048_Rotate_Image/Python/Rotate_Image_Solution_2.py | lht19900714/Leetcode_Solutions | dac7a038329a5c1f8a78e86cc6f49116b963f1fb | [
"MIT"
] | null | null | null | Algorithms/0048_Rotate_Image/Python/Rotate_Image_Solution_2.py | lht19900714/Leetcode_Solutions | dac7a038329a5c1f8a78e86cc6f49116b963f1fb | [
"MIT"
] | null | null | null |
# Space: O(1)
# Time: O(n)
| 24.741935 | 71 | 0.477184 |
# Space: O(1)
# Time: O(n)
class Solution:
def rotate(self, matrix):
"""
Do not return anything, modify matrix in-place instead.
"""
m = len(matrix)
n = len(matrix[0])
if m == 1 and n == 1: return
index = 0
first, last = 0, n - 1
while first... | 0 | 0 | 0 | 712 | 0 | 0 | 0 | 0 | 23 |
02a47cc4846469426d858d56021d0b7456e1a45e | 2,570 | py | Python | scripts/check_reachwp_1.py | goofyweng/mavros_multi_uav_control | 60a17e59bd54b491521ac4fb173c9bca74490718 | [
"BSD-3-Clause"
] | 1 | 2022-03-07T06:13:04.000Z | 2022-03-07T06:13:04.000Z | scripts/check_reachwp_1.py | goofyweng/mavros_multi_uav_control | 60a17e59bd54b491521ac4fb173c9bca74490718 | [
"BSD-3-Clause"
] | null | null | null | scripts/check_reachwp_1.py | goofyweng/mavros_multi_uav_control | 60a17e59bd54b491521ac4fb173c9bca74490718 | [
"BSD-3-Clause"
] | 1 | 2020-08-31T02:42:10.000Z | 2020-08-31T02:42:10.000Z | #!/usr/bin/env python
import rospy
from mavros_msgs.msg import PositionTarget
from geometry_msgs.msg import PoseStamped
if __name__ == '__main__':
rospy.init_node('checker_1')
server = Server()
rospy.Subscriber("/uav1/mavros/local_position/pose", PoseStamped , server.curpos_callback)
rospy.Subscribe... | 39.538462 | 149 | 0.629572 | #!/usr/bin/env python
import rospy
from mavros_msgs.msg import PositionTarget
from geometry_msgs.msg import PoseStamped
from std_msgs.msg import Float32, String, Bool
class Server:
def __init__(self):
self.curposx = None
self.curposy = None
self.curposz = None
self.targetwpx = None
... | 0 | 0 | 0 | 2,083 | 0 | 0 | 0 | 25 | 45 |
aaf048488c6cc74d3b7b52dd53b462a5c8dbd590 | 10,610 | py | Python | gbt_archive/models.py | GreenBankObservatory/gbtarchive_orm | 31f6d9def30646fb97c0a3ff8a0bf8096a15c479 | [
"MIT"
] | null | null | null | gbt_archive/models.py | GreenBankObservatory/gbtarchive_orm | 31f6d9def30646fb97c0a3ff8a0bf8096a15c479 | [
"MIT"
] | 7 | 2020-05-14T20:19:57.000Z | 2022-02-10T13:58:38.000Z | gbt_archive/models.py | GreenBankObservatory/gbtarchive_orm | 31f6d9def30646fb97c0a3ff8a0bf8096a15c479 | [
"MIT"
] | null | null | null | """Models!"""
# class TestOfflineOld(models.Model):
# errorid = models.AutoField(db_column="errorID", primary_key=True)
# errormsg = models.CharField(db_column="errorMsg", max_length=64)
# severity = models.IntegerField()
# class Meta:
# managed = False
# db_table = "test_offl... | 30.401146 | 113 | 0.578699 | """Models!"""
from pathlib import Path
import re
import glob
from django.db import models
from django.urls import reverse
from gbt_archive.utils import get_archive_path
class Observer(models.Model):
observerid = models.AutoField(db_column="observerID", primary_key=True)
name = models.CharField(max_length=64)... | 0 | 0 | 0 | 9,894 | 0 | 0 | 0 | 23 | 364 |
5c360b6439f881bfd7e0220e167f9b4c542aca1e | 168 | py | Python | code/pop_click.py | brxck/knausj_talon | 0074abbd2680865080921bc0229ce2ec0022f732 | [
"MIT"
] | null | null | null | code/pop_click.py | brxck/knausj_talon | 0074abbd2680865080921bc0229ce2ec0022f732 | [
"MIT"
] | null | null | null | code/pop_click.py | brxck/knausj_talon | 0074abbd2680865080921bc0229ce2ec0022f732 | [
"MIT"
] | null | null | null | from talon import ctrl, noise, actions
noise.register(
"pop",
lambda m: ctrl.mouse_click()
if actions.speech.enabled()
else actions.speech.enable(),
)
| 18.666667 | 38 | 0.678571 | from talon import ctrl, noise, actions
noise.register(
"pop",
lambda m: ctrl.mouse_click()
if actions.speech.enabled()
else actions.speech.enable(),
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
88bcaa1b734bad5efec9938bf99d322ac0ff3a65 | 5,090 | py | Python | find_chars.py | melonedo/crack-tongji-captcha | d7658a6e7360483c0e6260a7ac8d86045205af09 | [
"MIT"
] | 6 | 2020-11-01T14:12:15.000Z | 2021-04-19T09:31:44.000Z | find_chars.py | melonedo/crack-tongji-captcha | d7658a6e7360483c0e6260a7ac8d86045205af09 | [
"MIT"
] | 1 | 2020-11-02T03:14:54.000Z | 2021-01-25T09:30:45.000Z | find_chars.py | melonedo/crack-tongji-captcha | d7658a6e7360483c0e6260a7ac8d86045205af09 | [
"MIT"
] | null | null | null | from PIL import Image
from io import BytesIO
from base64 import b64decode
import numpy
import re
import cv2
from collections import namedtuple
if cv2.__version__.split()[0] == '3':
old_find_contours = cv2.findContours
cv2.findContours = new_find_contours
RotatedRect = namedtuple("RotatedRect", "center, siz... | 39.153846 | 856 | 0.697053 | from PIL import Image
from io import BytesIO
from base64 import b64decode
import numpy
import re
import cv2
import random
from collections import namedtuple
from math import hypot
if cv2.__version__.split()[0] == '3':
old_find_contours = cv2.findContours
def new_find_contours(*args, **kwargs):
return... | 0 | 0 | 0 | 29 | 0 | 414 | 0 | -7 | 182 |
deff626d8b8d98e0958a03e1d757971333fb1ba1 | 9,979 | py | Python | xdev/interactive_iter.py | Erotemic/xdev | 86d11305d1c6c54188a012fc61f82cb60c496f38 | [
"Apache-2.0"
] | 3 | 2019-03-04T02:49:22.000Z | 2022-02-08T14:41:23.000Z | xdev/interactive_iter.py | Erotemic/xdev | 86d11305d1c6c54188a012fc61f82cb60c496f38 | [
"Apache-2.0"
] | 4 | 2021-10-05T21:11:38.000Z | 2022-03-25T17:41:10.000Z | xdev/interactive_iter.py | Erotemic/xdev | 86d11305d1c6c54188a012fc61f82cb60c496f38 | [
"Apache-2.0"
] | null | null | null | import numpy as np
__all__ = ['InteractiveIter']
INDEXABLE_TYPES = (list, tuple, np.ndarray)
| 37.374532 | 133 | 0.527508 | import ubelt as ub
import numpy as np
from . import embeding
from . import util
__all__ = ['InteractiveIter']
INDEXABLE_TYPES = (list, tuple, np.ndarray)
class InteractiveIter(object):
"""
Choose next value interactively
iterable should be a list, not a generator. sorry
"""
def __init__(iiter... | 0 | 726 | 0 | 9,072 | 0 | 0 | 0 | -5 | 89 |
fa668461cf90cbc54e8b386e7ef7061b05d4ad5f | 33,381 | py | Python | rubiks-cube-solver.py | cahidenes/rubiks-cube-solver | 6f53f57d836a1604f8e5b7829d9e220466574b80 | [
"MIT"
] | 4 | 2021-01-30T12:23:58.000Z | 2021-09-07T17:11:20.000Z | rubiks-cube-solver.py | cahidenes/rubiks-cube-solver | 6f53f57d836a1604f8e5b7829d9e220466574b80 | [
"MIT"
] | null | null | null | rubiks-cube-solver.py | cahidenes/rubiks-cube-solver | 6f53f57d836a1604f8e5b7829d9e220466574b80 | [
"MIT"
] | 2 | 2021-02-11T16:37:10.000Z | 2022-02-26T23:53:00.000Z | import cv2 as cv
import numpy as np
import kociemba
DEBUG = False
eps = 0.00001
firstRead = []
secondRead = []
firstDone = False
cam = cv.VideoCapture(0)
cam.set(cv.CAP_PROP_FRAME_HEIGHT, 720)
W, H = int(cam.get(cv.CAP_PROP_FRAME_WIDTH)), int(cam.get(cv.CAP_PROP_FRAME_HEIGHT))
if W != 1280 or H != 720:
print("WAR... | 44.508 | 194 | 0.451724 | import cv2 as cv
import numpy as np
import kociemba
DEBUG = False
eps = 0.00001
firstRead = []
secondRead = []
firstDone = False
cam = cv.VideoCapture(0)
cam.set(cv.CAP_PROP_FRAME_HEIGHT, 720)
W, H = int(cam.get(cv.CAP_PROP_FRAME_WIDTH)), int(cam.get(cv.CAP_PROP_FRAME_HEIGHT))
if W != 1280 or H != 720:
print("WAR... | 0 | 0 | 0 | 0 | 0 | 9,193 | 0 | 0 | 230 |
719289a9b3bd996ae9fe94a118ff18a46736ef85 | 21,989 | py | Python | caffe-master/python/utils/sample.py | yang81/TextDetect | 3011ba55f97b764879bcf9719729d196b798014b | [
"BSD-3-Clause"
] | 6 | 2020-05-29T00:25:28.000Z | 2020-07-02T07:50:54.000Z | caffe-master/python/utils/sample.py | yang81/TextDetect | 3011ba55f97b764879bcf9719729d196b798014b | [
"BSD-3-Clause"
] | 1 | 2020-07-01T08:31:01.000Z | 2020-07-02T01:20:51.000Z | caffe-master/python/utils/sample.py | yang81/TextDetect | 3011ba55f97b764879bcf9719729d196b798014b | [
"BSD-3-Clause"
] | 1 | 2020-06-17T02:52:57.000Z | 2020-06-17T02:52:57.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__metaclss__=type
if __name__ == '__main__':
pass | 26.239857 | 168 | 0.64937 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__metaclss__=type
import random
import math
import collections
from PIL import Image, ImageDraw, ImageFont
from utils.font import FontObj
from utils.color import Color
import skimage.util
import numpy as np
import cv2
import matplotlib.pyplot as plt
import sys
import time... | 3 | 0 | 0 | 21,535 | 0 | 0 | 0 | -9 | 357 |
e812749bf4529ddc1ee803b14e9468c7f8463ad6 | 430 | py | Python | DCAL_notebooks/DCAL_Custom_Mosaics.py | gamedaygeorge/datacube-applications-library | 1b6314ee3465f9f17930391a4c241e981a9e200e | [
"Apache-2.0"
] | null | null | null | DCAL_notebooks/DCAL_Custom_Mosaics.py | gamedaygeorge/datacube-applications-library | 1b6314ee3465f9f17930391a4c241e981a9e200e | [
"Apache-2.0"
] | null | null | null | DCAL_notebooks/DCAL_Custom_Mosaics.py | gamedaygeorge/datacube-applications-library | 1b6314ee3465f9f17930391a4c241e981a9e200e | [
"Apache-2.0"
] | 1 | 2021-02-25T14:19:05.000Z | 2021-02-25T14:19:05.000Z | # Code behind module for DCAL_Custom_Mosaics.ipynb
################################
##
## Import Statments
##
################################
# Import standard Python modules
import sys
# Import DCAL utilities containing function definitions used generally across DCAL
sys.path.append('../DCAL_utils')
############... | 17.2 | 82 | 0.523256 | # Code behind module for DCAL_Custom_Mosaics.ipynb
################################
##
## Import Statments
##
################################
# Import standard Python modules
import sys
import datacube
# Import DCAL utilities containing function definitions used generally across DCAL
sys.path.append('../DCAL_utils'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -6 | 22 |
693e89132f2d54cce0651c04638a64e17b93c21c | 177 | py | Python | examples/warehouse.py | tat2ddaddy/EasyPost-Fulfillment | 4f04ac85e2da1054add8a7fed1a3bff65eea6214 | [
"MIT"
] | 1 | 2020-01-31T23:31:24.000Z | 2020-01-31T23:31:24.000Z | examples/warehouse.py | tat2ddaddy/EasyPost-Fulfillment | 4f04ac85e2da1054add8a7fed1a3bff65eea6214 | [
"MIT"
] | null | null | null | examples/warehouse.py | tat2ddaddy/EasyPost-Fulfillment | 4f04ac85e2da1054add8a7fed1a3bff65eea6214 | [
"MIT"
] | 1 | 2020-03-10T01:28:32.000Z | 2020-03-10T01:28:32.000Z | import fulfillment
fulfillment.core.api_key = 'YOUR_API_KEY_GOES_HERE'
# set debug to true to get print json
fulfillment.core.Debug = True
fulfillment.Warehouse.retrieveALL()
| 22.125 | 51 | 0.813559 | import fulfillment
fulfillment.core.api_key = 'YOUR_API_KEY_GOES_HERE'
# set debug to true to get print json
fulfillment.core.Debug = True
fulfillment.Warehouse.retrieveALL()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
44703efea3dbeab7669b18375a0808879c883830 | 2,511 | py | Python | demo/neumann_poisson2D.py | spectralDNS/shenfun | 956633aa0f1638db5ebdc497ff68a438aa22b932 | [
"BSD-2-Clause"
] | 138 | 2017-06-17T13:30:27.000Z | 2022-03-20T02:33:47.000Z | demo/neumann_poisson2D.py | spectralDNS/shenfun | 956633aa0f1638db5ebdc497ff68a438aa22b932 | [
"BSD-2-Clause"
] | 73 | 2017-05-16T06:53:04.000Z | 2022-02-04T10:40:44.000Z | demo/neumann_poisson2D.py | spectralDNS/shenfun | 956633aa0f1638db5ebdc497ff68a438aa22b932 | [
"BSD-2-Clause"
] | 38 | 2018-01-31T14:37:01.000Z | 2022-03-31T15:07:27.000Z | r"""
Solve Poisson equation in 2D with periodic bcs in one direction
and homogeneous Neumann in the other
\nabla^2 u = f,
Use Fourier basis for the periodic direction and Shen's Neumann basis for the
non-periodic direction.
The equation to solve is
(\nabla^2 u, v) = (f, v)
"""
import sys
import os
from sy... | 28.213483 | 147 | 0.681004 | r"""
Solve Poisson equation in 2D with periodic bcs in one direction
and homogeneous Neumann in the other
\nabla^2 u = f,
Use Fourier basis for the periodic direction and Shen's Neumann basis for the
non-periodic direction.
The equation to solve is
(\nabla^2 u, v) = (f, v)
"""
import sys
import os
from sy... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 |
0fc64dcb48b6303a7a368bf41d9c7ef8a78e9f3a | 788 | py | Python | i3/bin/get_displays.py | grzegorzludwa/dotfiles | 0ed7c13763033e774732a3317b79caa4e0fcc91b | [
"MIT"
] | null | null | null | i3/bin/get_displays.py | grzegorzludwa/dotfiles | 0ed7c13763033e774732a3317b79caa4e0fcc91b | [
"MIT"
] | null | null | null | i3/bin/get_displays.py | grzegorzludwa/dotfiles | 0ed7c13763033e774732a3317b79caa4e0fcc91b | [
"MIT"
] | null | null | null | import subprocess
import itertools
command="xrandr --listmonitors"
output = subprocess.run(command.split(), stdout=subprocess.PIPE, check=True, text=True)
output = output.stdout
displays_lines = output.split('\n')[1:-1]
displays = []
for line in displays_lines:
displays.append(line.split()[-1])
options = []
fo... | 23.176471 | 87 | 0.658629 | import subprocess
import itertools
command="xrandr --listmonitors"
output = subprocess.run(command.split(), stdout=subprocess.PIPE, check=True, text=True)
output = output.stdout
displays_lines = output.split('\n')[1:-1]
displays = []
for line in displays_lines:
displays.append(line.split()[-1])
options = []
fo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f88773a452b544ce63be7e86cd1843c0abb55814 | 9,975 | py | Python | Mochila-Paralelo-Threads.py | abnermuxah/algoritmo-genetico-problema-mochila | 73074d20f09983b710c3782bba1cd491b16d80a7 | [
"MIT"
] | null | null | null | Mochila-Paralelo-Threads.py | abnermuxah/algoritmo-genetico-problema-mochila | 73074d20f09983b710c3782bba1cd491b16d80a7 | [
"MIT"
] | null | null | null | Mochila-Paralelo-Threads.py | abnermuxah/algoritmo-genetico-problema-mochila | 73074d20f09983b710c3782bba1cd491b16d80a7 | [
"MIT"
] | null | null | null | import threading
# Variavel global
n_populacao = []
# funcoes
if __name__ == '__main__':
# Leitura do arquivo externo (instancias)
file = open("100.txt")
arquivo = file.read() # ler a cadeia de caracteres do arquivo .txt
instancias = arquivo.split() # separar e agrupar os caracteres
# manipulando a entrada dos d... | 30.882353 | 116 | 0.633584 | from random import randint
import threading
# Variavel global
n_populacao = []
# funcoes
def peso_cromo(cromossomo, peso): # retorna o peso toal que que o cromossomo pode levar
sum_peso = 0
qtd_itens = len(peso)
n = 0
if (len(cromossomo)!=qtd_itens):
n = 2
else:
n = 0
for i in range(qtd_itens):
if cromos... | 36 | 0 | 0 | 0 | 0 | 3,195 | 0 | 5 | 132 |
6168b33ee9764e2c6e4bf5c87b9668922f29cc89 | 1,266 | py | Python | hd_mysql/migrations/0002_schedule_info.py | Rmond/OperMge | 926f00107614ed55b26ff3beac178fe955de856a | [
"Apache-2.0"
] | 1 | 2017-08-18T07:03:34.000Z | 2017-08-18T07:03:34.000Z | hd_mysql/migrations/0002_schedule_info.py | Rmond/OperMge | 926f00107614ed55b26ff3beac178fe955de856a | [
"Apache-2.0"
] | null | null | null | hd_mysql/migrations/0002_schedule_info.py | Rmond/OperMge | 926f00107614ed55b26ff3beac178fe955de856a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-07-25 11:53
from __future__ import unicode_literals
| 39.5625 | 133 | 0.599526 | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-07-25 11:53
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('django_celery_beat', '0001_initial'),
('h... | 0 | 0 | 0 | 1,047 | 0 | 0 | 0 | 30 | 73 |
5134c3635a3e15d9ddfe2e5b01e52495708df66a | 601 | py | Python | ecommerce/OrderAndDelivery/migrations/0015_auto_20201016_1728.py | shakyasaijal/commerce-fm | 358b6925f4b569dc374010d7cc7d4d560ede2b48 | [
"MIT"
] | 18 | 2020-12-05T14:12:32.000Z | 2022-03-11T20:15:22.000Z | ecommerce/OrderAndDelivery/migrations/0015_auto_20201016_1728.py | shakyasaijal/commerce-fm | 358b6925f4b569dc374010d7cc7d4d560ede2b48 | [
"MIT"
] | 1 | 2021-07-22T09:23:13.000Z | 2021-07-22T09:23:13.000Z | ecommerce/OrderAndDelivery/migrations/0015_auto_20201016_1728.py | shakyasaijal/commerce-fm | 358b6925f4b569dc374010d7cc7d4d560ede2b48 | [
"MIT"
] | 13 | 2020-10-15T10:17:35.000Z | 2022-01-29T06:56:24.000Z | # Generated by Django 3.0 on 2020-10-16 11:43
| 25.041667 | 70 | 0.608985 | # Generated by Django 3.0 on 2020-10-16 11:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('OrderAndDelivery', '0014_auto_20201016_1114'),
]
operations = [
migrations.AddField(
model_name='order',
name='deliver... | 0 | 0 | 0 | 489 | 0 | 0 | 0 | 19 | 46 |
f9fce6dff4bbc05f0d0d29b45605ef7ae92d6500 | 3,582 | py | Python | dompetku/utils.py | blackshirt/dompetku | 51b907dc25c927ef42b4522499c1884affd42980 | [
"BSD-2-Clause"
] | 1 | 2016-05-15T16:58:54.000Z | 2016-05-15T16:58:54.000Z | dompetku/utils.py | blackshirt/dompetku | 51b907dc25c927ef42b4522499c1884affd42980 | [
"BSD-2-Clause"
] | null | null | null | dompetku/utils.py | blackshirt/dompetku | 51b907dc25c927ef42b4522499c1884affd42980 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright @2014 blackshirtmuslim@yahoo.com
# Licensed: see Python license
"""Utility module"""
import uuid
import hashlib
def generate_hash(password, random_key=None):
"""Membuat password hash dengan random key 'random_key' menggunakan sha512 dari hashlib"""
if not random_key:
... | 29.360656 | 94 | 0.676438 | #!/usr/bin/env python
#
# Copyright @2014 blackshirtmuslim@yahoo.com
# Licensed: see Python license
"""Utility module"""
import json
import uuid
import hashlib
from decimal import Decimal
from datetime import date, datetime
from tornado import concurrent, ioloop
from concurrent.futures import ThreadPoolExecutor
de... | 0 | 289 | 0 | 335 | 0 | 1,788 | 0 | 55 | 223 |
839106fce2a15faccf685f56f0c8a5dfa87571d2 | 1,020 | py | Python | ind.py | Maria-28/LR4.2 | 0fd8e6a7f54602e28b452e8a4d99ada9c370165c | [
"MIT"
] | null | null | null | ind.py | Maria-28/LR4.2 | 0fd8e6a7f54602e28b452e8a4d99ada9c370165c | [
"MIT"
] | null | null | null | ind.py | Maria-28/LR4.2 | 0fd8e6a7f54602e28b452e8a4d99ada9c370165c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# , .
# ( ,
# - ). ,
# .
if __name__ == '__main__':
#
print(task(input()))
| 26.842105 | 84 | 0.509804 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# В строке могут присутствовать скобки как круглые, так и квадратные скобки. Каждой
# открывающей скобке соответствует закрывающая того же типа (круглой – круглая,
# квадратной- квадратная). Напишите рекурсивную функцию, проверяющую правильность
# расстановки скобок в... | 479 | 0 | 0 | 0 | 0 | 520 | 0 | 0 | 85 |
abb34daeae73074559a0c7bac8314ad6e47ec18e | 3,642 | py | Python | yacluster.py | KrzysiekJ/yacluster | 4f908880283f8305e4700e1f372b45367fca268c | [
"MIT"
] | 4 | 2016-07-05T16:23:57.000Z | 2021-07-25T15:23:02.000Z | yacluster.py | KrzysiekJ/yacluster | 4f908880283f8305e4700e1f372b45367fca268c | [
"MIT"
] | null | null | null | yacluster.py | KrzysiekJ/yacluster | 4f908880283f8305e4700e1f372b45367fca268c | [
"MIT"
] | 1 | 2021-07-25T15:23:09.000Z | 2021-07-25T15:23:09.000Z | from functools import partial, reduce
from itertools import chain
def cluster_iter(clustered, point, threshold):
"""Add a point to a grid-like cluster structure.
This allows comparing point distances only to clusters from nearby grids, not to all clusters. Useful when there are many clusters expected."""... | 41.862069 | 147 | 0.720209 | from functools import partial, reduce
from itertools import chain, product
from math import sqrt
def distance(coords_1, coords_2):
return sqrt(pow(coords_1[0] - coords_2[0], 2) + pow(coords_1[1] - coords_2[1], 2))
def get_grid_cell(x, y, threshold):
return (int(x // threshold), int(y // threshold))
def g... | 24 | 0 | 0 | 0 | 0 | 753 | 0 | 9 | 119 |
7b164c1bee8839bc2a1d23d1d331a90b8685fd8a | 4,830 | py | Python | unbox/uno/views.py | NikhilPhalange/recommendo | 7594f0c12e9b3d0ac439670ae1d91f34394bd90d | [
"Apache-2.0"
] | null | null | null | unbox/uno/views.py | NikhilPhalange/recommendo | 7594f0c12e9b3d0ac439670ae1d91f34394bd90d | [
"Apache-2.0"
] | null | null | null | unbox/uno/views.py | NikhilPhalange/recommendo | 7594f0c12e9b3d0ac439670ae1d91f34394bd90d | [
"Apache-2.0"
] | null | null | null | #rom uno.info import information
#from django.template.defaulttags import register
pro = []
'''
@register.filter
def get_item(dictionary, key):
return dictionary.get(key)
'''
| 34.748201 | 199 | 0.564803 | from django.http import HttpResponse
from django.shortcuts import render, render_to_response, RequestContext
from uno.models import Question_m
from django.views.generic import FormView
from uno.forms import Question_f
import requests
#rom uno.info import information
from copy import deepcopy
from uno.a import i... | 0 | 0 | 0 | 0 | 0 | 4,186 | 0 | 123 | 332 |
da6cfb1412b7f109cd7e1da326d638ba647ddc0e | 13,178 | py | Python | net/network/neural_net.py | elQuixote/Pytorch_ImageClassifier | 22f5dc136b56a4a5d9b372191006fedfbd6c9ad5 | [
"MIT"
] | 1 | 2021-01-16T13:44:42.000Z | 2021-01-16T13:44:42.000Z | net/network/neural_net.py | elQuixote/Pytorch_ImageClassifier | 22f5dc136b56a4a5d9b372191006fedfbd6c9ad5 | [
"MIT"
] | null | null | null | net/network/neural_net.py | elQuixote/Pytorch_ImageClassifier | 22f5dc136b56a4a5d9b372191006fedfbd6c9ad5 | [
"MIT"
] | null | null | null | import torchvision.models as models
'''neural_net.py: Custom network object deriving from nn.Module to track the architecture '''
__author__ = "Luis Quinones"
__email__ = "luis@complicitmatter.com"
__status__ = "Prototype"
| 43.206557 | 137 | 0.588633 | import torch as t
from torch import nn
import math as m
import torchvision.models as models
import numpy as np
import matplotlib.pyplot as plt
import copy
'''neural_net.py: Custom network object deriving from nn.Module to track the architecture '''
__author__ = "Luis Quinones"
__email__ = "luis@complicitmatter.com"
__... | 0 | 0 | 0 | 12,810 | 0 | 0 | 0 | -13 | 155 |
1b922f498e9d1bd6014435b4ed0ce491985ee580 | 4,260 | py | Python | shcomplete/tests/test_model2correct.py | gy741/shell-complete | 20ad82eb45015a79afc734f4cce2201b5fba3785 | [
"Apache-2.0"
] | null | null | null | shcomplete/tests/test_model2correct.py | gy741/shell-complete | 20ad82eb45015a79afc734f4cce2201b5fba3785 | [
"Apache-2.0"
] | null | null | null | shcomplete/tests/test_model2correct.py | gy741/shell-complete | 20ad82eb45015a79afc734f4cce2201b5fba3785 | [
"Apache-2.0"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 44.375 | 99 | 0.638028 | import argparse
import logging
import os
import unittest
from keras.layers import recurrent
import numpy as np
from shcomplete.model2correct import Seq2seq, generate_model, get_chars, train_correct
from shcomplete.model2correct import generator_misprints, dislpay_sample_correction
class DataGenerator(unittest.TestC... | 0 | 0 | 0 | 3,879 | 0 | 0 | 0 | 112 | 202 |
a0c458328447709abb195adfcca137536aeb22ff | 456 | py | Python | src/zc/set/tests.py | ZeitOnline/zc.set | e39ac9d4d87d7d95ec191190d6ea77474b1d6498 | [
"ZPL-2.1"
] | null | null | null | src/zc/set/tests.py | ZeitOnline/zc.set | e39ac9d4d87d7d95ec191190d6ea77474b1d6498 | [
"ZPL-2.1"
] | null | null | null | src/zc/set/tests.py | ZeitOnline/zc.set | e39ac9d4d87d7d95ec191190d6ea77474b1d6498 | [
"ZPL-2.1"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main(defaultTest='test_suite')
| 21.714286 | 63 | 0.695175 | import unittest
from zope.testing import doctest, module
import zc.set
def setUpSetsOne(test):
test.globs['factory'] = set
def setUpSetsTwo(test):
test.globs['factory'] = zc.set.Set
def test_suite():
return unittest.TestSuite((
doctest.DocFileSuite('README.txt', setUp=setUpSetsOne),
doct... | 0 | 0 | 0 | 0 | 0 | 242 | 0 | 11 | 114 |
a7eb5f17185695564ccdccce6a73d0b6bbfbba75 | 222 | py | Python | packages/girder_worker/girder_worker/plugins/types/format/directory/tgz_to_path.py | ShenQianwithC/HistomicsTK | 4ad7e72a7ebdabbdfc879254fad04ce7ca47e320 | [
"Apache-2.0"
] | null | null | null | packages/girder_worker/girder_worker/plugins/types/format/directory/tgz_to_path.py | ShenQianwithC/HistomicsTK | 4ad7e72a7ebdabbdfc879254fad04ce7ca47e320 | [
"Apache-2.0"
] | null | null | null | packages/girder_worker/girder_worker/plugins/types/format/directory/tgz_to_path.py | ShenQianwithC/HistomicsTK | 4ad7e72a7ebdabbdfc879254fad04ce7ca47e320 | [
"Apache-2.0"
] | null | null | null | import os
import tarfile
output = os.path.splitext(input)[0]
try:
os.makedirs(output)
except OSError:
if not os.path.exists(output):
raise
with tarfile.open(input, 'r') as tf:
tf.extractall(output)
| 14.8 | 36 | 0.675676 | import os
import tarfile
output = os.path.splitext(input)[0]
try:
os.makedirs(output)
except OSError:
if not os.path.exists(output):
raise
with tarfile.open(input, 'r') as tf:
tf.extractall(output)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d801cbd215418f7c40ffbce0a7835d25d4b91e9d | 4,568 | py | Python | algotrader/trading/clock.py | alexcwyu/python-trading | a494f602411a3ebfdecae002a16a5ea93fc7a046 | [
"Apache-2.0"
] | 17 | 2016-03-30T21:52:30.000Z | 2021-05-01T18:21:48.000Z | algotrader/trading/clock.py | ajmal017/python-trading | a494f602411a3ebfdecae002a16a5ea93fc7a046 | [
"Apache-2.0"
] | 2 | 2016-10-04T19:29:05.000Z | 2017-02-01T19:24:39.000Z | algotrader/trading/clock.py | ajmal017/python-trading | a494f602411a3ebfdecae002a16a5ea93fc7a046 | [
"Apache-2.0"
] | 9 | 2016-04-24T05:05:26.000Z | 2020-05-03T13:01:34.000Z | from gevent import monkey
monkey.patch_time()
monkey.patch_socket()
| 33.101449 | 104 | 0.718914 | from gevent import monkey
monkey.patch_time()
monkey.patch_socket()
import abc
import datetime
import time
from rx.concurrency.eventloopscheduler import EventLoopScheduler
from rx.concurrency.historicalscheduler import HistoricalScheduler
from rx.concurrency.mainloopscheduler import GEventScheduler
from rx.concurren... | 0 | 334 | 0 | 3,531 | 0 | 0 | 0 | 269 | 360 |
8603a1697a8cfb77dbeb1e65c54d4922279ec156 | 1,366 | py | Python | Search-Algorithms/TreeStructures.py | earmingol/Personal-Collection | 5c0c322bfec140a1bbef678a11cc690e0dac48a3 | [
"MIT"
] | null | null | null | Search-Algorithms/TreeStructures.py | earmingol/Personal-Collection | 5c0c322bfec140a1bbef678a11cc690e0dac48a3 | [
"MIT"
] | null | null | null | Search-Algorithms/TreeStructures.py | earmingol/Personal-Collection | 5c0c322bfec140a1bbef678a11cc690e0dac48a3 | [
"MIT"
] | null | null | null | # coding: utf-8
# Node class based on the book "Inteligencia Artificial - Fundamentos, prctica y aplicaciones" by Alberto Garca Serrano | 24.392857 | 121 | 0.598829 | # coding: utf-8
# Node class based on the book "Inteligencia Artificial - Fundamentos, práctica y aplicaciones" by Alberto García Serrano
class Node():
def __init__(self, data, id = None):
self.data = data
self.id = id
self.parent = None
self.children = None
self.cost = None... | 4 | 0 | 0 | 1,206 | 0 | 0 | 0 | 0 | 23 |
9753c39d1853d6246410d1dad0e380c99ce01c1c | 138 | py | Python | teste.py | pedro-canedo/Estudos-em-Python | 563c2b40ba03b9dcd08668f3c2e0485b3196ff26 | [
"MIT"
] | 1 | 2021-07-31T03:56:43.000Z | 2021-07-31T03:56:43.000Z | teste.py | pedro-canedo/Estudos-em-Python | 563c2b40ba03b9dcd08668f3c2e0485b3196ff26 | [
"MIT"
] | null | null | null | teste.py | pedro-canedo/Estudos-em-Python | 563c2b40ba03b9dcd08668f3c2e0485b3196ff26 | [
"MIT"
] | null | null | null | numero = int(input("Fatorial de: ") )
resultado=1
count=1
while count <= numero:
resultado *= count
count --1
print(resultado)
| 12.545455 | 37 | 0.652174 | numero = int(input("Fatorial de: ") )
resultado=1
count=1
while count <= numero:
resultado *= count
count --1
print(resultado)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
627ca225022492c812109d5bc50448cc59d3b486 | 7,194 | py | Python | utils.py | smtnkc/bert4epi | e45198916eba6e716be3e1e02c8c2a51de8c9891 | [
"MIT"
] | null | null | null | utils.py | smtnkc/bert4epi | e45198916eba6e716be3e1e02c8c2a51de8c9891 | [
"MIT"
] | null | null | null | utils.py | smtnkc/bert4epi | e45198916eba6e716be3e1e02c8c2a51de8c9891 | [
"MIT"
] | null | null | null | import torch.nn as nn
| 33.152074 | 130 | 0.606339 | import torch
import os
import torch.nn as nn
import logging
import time
from sklearn.metrics import f1_score, classification_report, confusion_matrix
from transformers import BertForSequenceClassification
class BERT(nn.Module):
def __init__(self):
super(BERT, self).__init__()
options_name = "ber... | 0 | 0 | 0 | 318 | 0 | 6,509 | 0 | 51 | 293 |
6413b8ee3194babe2191376fca41309350962f11 | 2,797 | py | Python | The Schelling Model.py | MapleNSteel/ConvolutionalSchelling | 12f3a08b0889b2f7f5f92f6074e09c1a6642553e | [
"Apache-2.0"
] | null | null | null | The Schelling Model.py | MapleNSteel/ConvolutionalSchelling | 12f3a08b0889b2f7f5f92f6074e09c1a6642553e | [
"Apache-2.0"
] | null | null | null | The Schelling Model.py | MapleNSteel/ConvolutionalSchelling | 12f3a08b0889b2f7f5f92f6074e09c1a6642553e | [
"Apache-2.0"
] | null | null | null | import numpy as np
from scipy import signal
import cv2
numDem=500
numRep=500
numColumns=50
numRows=50
numGrid=numColumns*numRows
windowSize=3
kernel=np.ones((windowSize,windowSize))
kernel[(windowSize-1)/2,(windowSize-1)/2]=0
numIter=100
valueThreshold=0.375*((windowSize**2)-1) #Slightly xenophilic, 37.5% corres... | 27.97 | 157 | 0.750804 | import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
import cv2
numDem=500
numRep=500
numColumns=50
numRows=50
numGrid=numColumns*numRows
windowSize=3
kernel=np.ones((windowSize,windowSize))
kernel[(windowSize-1)/2,(windowSize-1)/2]=0
numIter=100
valueThreshold=0.375*((windowSize**2)-1) #S... | 0 | 0 | 0 | 0 | 0 | 289 | 0 | 10 | 68 |
4d8cf658bd276e110dbb7b4ab8bbb325dec3a9ee | 1,889 | py | Python | extcats/testdata.py | vbrinnel/extcats | fd37ad19c8b613cca6410c303416d26210392a02 | [
"MIT"
] | 2 | 2019-05-07T12:57:49.000Z | 2020-04-07T14:38:54.000Z | extcats/testdata.py | vbrinnel/extcats | fd37ad19c8b613cca6410c303416d26210392a02 | [
"MIT"
] | 5 | 2018-03-06T20:14:54.000Z | 2018-11-01T13:59:03.000Z | extcats/testdata.py | vbrinnel/extcats | fd37ad19c8b613cca6410c303416d26210392a02 | [
"MIT"
] | 5 | 2018-02-28T15:25:58.000Z | 2021-02-01T10:33:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# download some test data to run example notebook
#
# Author: M. Giomi (matteo.giomi@desy.de)
| 35.641509 | 95 | 0.622552 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# download some test data to run example notebook
#
# Author: M. Giomi (matteo.giomi@desy.de)
import os
from urllib.request import urlretrieve
from shutil import unpack_archive
class MQC:
def download(datadir = "./testdata/milliquas",
fname = "heasa... | 0 | 0 | 0 | 1,614 | 0 | 0 | 0 | 17 | 114 |
6ecb1e95b59bfe086a21a6f2bba88cd15339dfdb | 745 | py | Python | fx/test.py | vangual/plasma | b5acdd8114b87c723103f90405d79e71499d4f78 | [
"MIT"
] | null | null | null | fx/test.py | vangual/plasma | b5acdd8114b87c723103f90405d79e71499d4f78 | [
"MIT"
] | null | null | null | fx/test.py | vangual/plasma | b5acdd8114b87c723103f90405d79e71499d4f78 | [
"MIT"
] | null | null | null | import plasma
import plasmafx
from plasmafx import plugins
import time
FPS = 60
NUM_LIGHTS = 10
plasma.set_light_count(10)
sequence = plasmafx.Sequence(NUM_LIGHTS)
for x in range(NUM_LIGHTS):
sequence.set_plugin(x, plugins.FXCycle(
speed=2,
spread=5,
offset=(360.0/NUM_LIGHTS) * x
))
... | 19.102564 | 68 | 0.609396 | import plasma
import plasmafx
from plasmafx import plugins
import time
FPS = 60
NUM_LIGHTS = 10
plasma.set_light_count(10)
sequence = plasmafx.Sequence(NUM_LIGHTS)
for x in range(NUM_LIGHTS):
sequence.set_plugin(x, plugins.FXCycle(
speed=2,
spread=5,
offset=(360.0/NUM_LIGHTS) * x
))
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d646bae450ebf34b8304da5219140af55f34a58e | 7,388 | py | Python | src/pallas/conversions.py | tomasbedrich/pallas | cd414f0ed0c4b5a39da21061b08f9e7a5b674c8b | [
"Apache-2.0"
] | null | null | null | src/pallas/conversions.py | tomasbedrich/pallas | cd414f0ed0c4b5a39da21061b08f9e7a5b674c8b | [
"Apache-2.0"
] | null | null | null | src/pallas/conversions.py | tomasbedrich/pallas | cd414f0ed0c4b5a39da21061b08f9e7a5b674c8b | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Akamai Technologies, 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... | 28.091255 | 78 | 0.64889 | # Copyright 2020 Akamai Technologies, 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... | 0 | 713 | 0 | 4,127 | 0 | 425 | 0 | 94 | 433 |
62b0bacd5684234667190f618f48ce267fc5d7c8 | 481 | bzl | Python | multi-log-test/third_party/fmtlib/direct.bzl | seuyx/bazel-experiments | ea5da09ea0d74f0a0163cbf0bfaed7c35e5cec22 | [
"MIT"
] | null | null | null | multi-log-test/third_party/fmtlib/direct.bzl | seuyx/bazel-experiments | ea5da09ea0d74f0a0163cbf0bfaed7c35e5cec22 | [
"MIT"
] | null | null | null | multi-log-test/third_party/fmtlib/direct.bzl | seuyx/bazel-experiments | ea5da09ea0d74f0a0163cbf0bfaed7c35e5cec22 | [
"MIT"
] | null | null | null | load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
| 37 | 82 | 0.698545 | load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
def load_fmtlib():
maybe(
http_archive,
name = "com_github_fmtlib_fmt",
url = "https://github.com/fmtlib/fmt/releases/download/8.1.1/fmt-8.1.1.zip",
sha256 = "2... | 0 | 0 | 0 | 0 | 0 | 326 | 0 | 0 | 23 |
89485dab73034b8b11b29b0cdd9d56b3f1d1c416 | 236 | py | Python | data/strategies/publishers/wiley_issn.py | jamesrharwood/journal-guidelines | fe6c0a6d3c0443df6fc816b9503fad24459ddb4a | [
"MIT"
] | null | null | null | data/strategies/publishers/wiley_issn.py | jamesrharwood/journal-guidelines | fe6c0a6d3c0443df6fc816b9503fad24459ddb4a | [
"MIT"
] | null | null | null | data/strategies/publishers/wiley_issn.py | jamesrharwood/journal-guidelines | fe6c0a6d3c0443df6fc816b9503fad24459ddb4a | [
"MIT"
] | null | null | null | url = r"onlinelibrary.wiley.com/journal/{ID}/(?P<ISSN>\(ISSN\)[\d-]*)"
extractor_args = dict(restrict_text=[r"author\s*guidelines"])
template = (
"https://onlinelibrary.wiley.com/page/journal/{ID}/{ISSN}/homepage/forauthors.html"
)
| 39.333333 | 87 | 0.70339 | url = r"onlinelibrary.wiley.com/journal/{ID}/(?P<ISSN>\(ISSN\)[\d-]*)"
extractor_args = dict(restrict_text=[r"author\s*guidelines"])
template = (
"https://onlinelibrary.wiley.com/page/journal/{ID}/{ISSN}/homepage/forauthors.html"
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
129a5beca9e5e509559cdb65aed64af325dd1305 | 2,262 | py | Python | src/api.py | ifeekz/build_4_sdg | 503dd37b3827f0a9cad2039ada1ee26d56a98061 | [
"MIT"
] | null | null | null | src/api.py | ifeekz/build_4_sdg | 503dd37b3827f0a9cad2039ada1ee26d56a98061 | [
"MIT"
] | null | null | null | src/api.py | ifeekz/build_4_sdg | 503dd37b3827f0a9cad2039ada1ee26d56a98061 | [
"MIT"
] | null | null | null | from flask import Flask, make_response
from flask_restful import Api
from simplexml import dumps
app = Flask(__name__)
api = Api(app, default_mediatype=None)
def output_xml(data, code, headers=None):
"""Make a Flask response with a XML encoded body"""
resp = make_response(dumps({'response': data}), code)
... | 38.338983 | 109 | 0.665782 | import json
from flask import Flask, request, jsonify, make_response
from flask_restful import Api, Resource, reqparse
from simplexml import dumps
from estimator import estimator
app = Flask(__name__)
api = Api(app, default_mediatype=None)
@api.representation('application/json')
def output_json(data, code, headers=No... | 0 | 299 | 0 | 807 | 0 | 0 | 0 | 38 | 113 |
a3993d03d8af22ea32a4563b7c54ce21a50f7605 | 9,513 | py | Python | models/block.py | tadeephuy/CoFo | 28461e923f112182887d66d1db499da7a2535b28 | [
"MIT"
] | 2 | 2022-02-15T07:58:29.000Z | 2022-02-25T10:08:59.000Z | models/block.py | tadeephuy/CoFo | 28461e923f112182887d66d1db499da7a2535b28 | [
"MIT"
] | null | null | null | models/block.py | tadeephuy/CoFo | 28461e923f112182887d66d1db499da7a2535b28 | [
"MIT"
] | null | null | null | import torch.nn as nn
| 44.661972 | 154 | 0.57248 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import sys
from .layers import PixelShuffle_ICNR
def crop_combine(x1, x2):
diffY = x2.size()[2] - x1.size()[2]
diffX = x2.size()[3] - x1.size()[3]
x2 = F.pad(x2, [
-diffX//2, -diffX//2,
-diffY//2, -diffY//2
... | 0 | 0 | 0 | 8,811 | 0 | 343 | 0 | 6 | 316 |
e0a2f2f95574ee23b3dfa58867c5333309f07dab | 632 | py | Python | pandas/count_appear.py | muzudho/practice-py | a84abf0abc1f19221fa18768b068caea3c91aed4 | [
"MIT"
] | null | null | null | pandas/count_appear.py | muzudho/practice-py | a84abf0abc1f19221fa18768b068caea3c91aed4 | [
"MIT"
] | null | null | null | pandas/count_appear.py | muzudho/practice-py | a84abf0abc1f19221fa18768b068caea3c91aed4 | [
"MIT"
] | null | null | null | import os
import pandas as pd
df = pd.read_csv(
"{}/practice-pandas/data/test-participant.csv".format(os.getcwd()), sep=',', engine='python', verbose=True)
df_grouped = df.groupby("GENRE_CODE").count()
df_sorted = df_grouped["ID"].sort_values(ascending=False)
# Top 1000.
print(df_sorted.head(1000))
"""
GENRE_CO... | 19.151515 | 111 | 0.564873 | import os
import pandas as pd
df = pd.read_csv(
"{}/practice-pandas/data/test-participant.csv".format(os.getcwd()), sep=',', engine='python', verbose=True)
df_grouped = df.groupby("GENRE_CODE").count()
df_sorted = df_grouped["ID"].sort_values(ascending=False)
# Top 1000.
print(df_sorted.head(1000))
"""
GENRE_CO... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bb68ae7738bc606f645c311825795906cc2775af | 5,162 | py | Python | src/reader.py | BinhNguyen231/IDCardRecognition | 061f353127d1e33da1b72f4225bd11fa835501ea | [
"Apache-2.0"
] | null | null | null | src/reader.py | BinhNguyen231/IDCardRecognition | 061f353127d1e33da1b72f4225bd11fa835501ea | [
"Apache-2.0"
] | null | null | null | src/reader.py | BinhNguyen231/IDCardRecognition | 061f353127d1e33da1b72f4225bd11fa835501ea | [
"Apache-2.0"
] | null | null | null | import os
import cv2
import time
from cropper import Cropper
from detector import Detector
from format_info import format_information
###multi threading
#from threading import Thread
if __name__ == "__main__":
cropper = Cropper()
detector = Detector()
reader = Reader()
type_img = ['jpg', 'png']
... | 37.955882 | 173 | 0.585238 | from vietocr.tool.translate import build_model, translate, translate_beam_search, process_input, predict
from vietocr.tool.utils import download_weights
from vietocr.tool.config import Cfg
import sys
import os
import cv2
import numpy as np
import math
import pandas as pd
import torch
import time
from cropper import Cro... | 0 | 0 | 0 | 2,224 | 0 | 0 | 0 | 88 | 199 |
ffaade27a9c553f612d1d26b88569d33a8d17441 | 26 | py | Python | Chapter 01/Chap01_Example1.91.py | bpbpublications/Programming-Techniques-using-Python | 49b785f37e95a3aad1d36cef51e219ac56e5e9f0 | [
"MIT"
] | null | null | null | Chapter 01/Chap01_Example1.91.py | bpbpublications/Programming-Techniques-using-Python | 49b785f37e95a3aad1d36cef51e219ac56e5e9f0 | [
"MIT"
] | null | null | null | Chapter 01/Chap01_Example1.91.py | bpbpublications/Programming-Techniques-using-Python | 49b785f37e95a3aad1d36cef51e219ac56e5e9f0 | [
"MIT"
] | null | null | null | a= 30
a //= 2
print(a)
| 6.5 | 9 | 0.423077 | a= 30
a //= 2
print(a)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bf1ca4d713d828aa5bffb5c43328fb9e8ea31cd0 | 2,230 | py | Python | scripts_Old/get_cat_as_binmatrix.py | ksegaba/ML-Pipeline | cd3914563ccd2e2eb863a55e7fe774108280ed47 | [
"MIT"
] | 12 | 2019-09-30T21:17:40.000Z | 2022-02-11T00:22:52.000Z | scripts_Old/get_cat_as_binmatrix.py | DanyelleJhang/ML-Pipeline | 78073fd1004f831c4efdd05e0f1eb78c8bae4fcb | [
"MIT"
] | 6 | 2021-08-03T14:29:16.000Z | 2021-11-17T22:39:13.000Z | scripts_Old/get_cat_as_binmatrix.py | DanyelleJhang/ML-Pipeline | 78073fd1004f831c4efdd05e0f1eb78c8bae4fcb | [
"MIT"
] | 17 | 2017-05-22T21:03:42.000Z | 2022-03-01T15:06:29.000Z | ##script used to combine multiple files into a matrix
import sys
import pandas as pd
import numpy as np
sum_matrix = open(sys.argv[1]+"_binary.matrix.txt","w")
# open with pandas
df = pd.read_csv(sys.argv[1], sep='\t', index_col = 0)
#get first line as title list
col_list= list(df.columns.values)
print (col_list)
#t... | 28.961039 | 98 | 0.56278 | ##script used to combine multiple files into a matrix
import os, sys
import pandas as pd
import numpy as np
sum_matrix = open(sys.argv[1]+"_binary.matrix.txt","w")
# open with pandas
df = pd.read_csv(sys.argv[1], sep='\t', index_col = 0)
#get first line as title list
col_list= list(df.columns.values)
print (col_list... | 0 | 0 | 0 | 0 | 0 | 298 | 0 | 4 | 22 |
c8290755239ff48d7f3d7c605293cdfbf9a78742 | 405 | py | Python | frontend/urls.py | evansMeja/django_react_django_nox_auth | 1799ade605e941b0123f2b40f03aaef6479ec188 | [
"MIT"
] | null | null | null | frontend/urls.py | evansMeja/django_react_django_nox_auth | 1799ade605e941b0123f2b40f03aaef6479ec188 | [
"MIT"
] | null | null | null | frontend/urls.py | evansMeja/django_react_django_nox_auth | 1799ade605e941b0123f2b40f03aaef6479ec188 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import index, TodoDetailView
from django.conf import settings
urlpatterns = [
path('', index),
path('edit/<int:pk>', TodoDetailView.as_view()),
path('delete/<int:pk>', TodoDetailView.as_view()),
]
react_routes = getattr(settings, 'REACT_ROUTES', [])
for route i... | 18.409091 | 54 | 0.661728 | from django.urls import path
from .views import index, TodoDetailView
from django.conf import settings
urlpatterns = [
path('', index),
path('edit/<int:pk>', TodoDetailView.as_view()),
path('delete/<int:pk>', TodoDetailView.as_view()),
]
react_routes = getattr(settings, 'REACT_ROUTES', [])
for route i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f3b6998c88ac451d5e031dd9a5844a2c373da629 | 6,773 | py | Python | tools/graph_bag/scripts/make_groundtruth_map.py | tiferrei/astrobee | a9aa0a7e9a7dd5a28c264acfd06ccde18103190a | [
"Apache-2.0"
] | 629 | 2017-08-31T23:09:00.000Z | 2022-03-30T11:55:40.000Z | tools/graph_bag/scripts/make_groundtruth_map.py | tiferrei/astrobee | a9aa0a7e9a7dd5a28c264acfd06ccde18103190a | [
"Apache-2.0"
] | 269 | 2018-05-05T12:31:16.000Z | 2022-03-30T22:04:11.000Z | tools/graph_bag/scripts/make_groundtruth_map.py | tiferrei/astrobee | a9aa0a7e9a7dd5a28c264acfd06ccde18103190a | [
"Apache-2.0"
] | 248 | 2017-08-31T23:20:56.000Z | 2022-03-30T22:29:16.000Z | #!/usr/bin/python
#
# Copyright (c) 2017, United States Government, as represented by the
# Administrator of the National Aeronautics and Space Administration.
#
# All rights reserved.
#
# The Astrobee platform is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this file except in comp... | 38.482955 | 151 | 0.714454 | #!/usr/bin/python
#
# Copyright (c) 2017, United States Government, as represented by the
# Administrator of the National Aeronautics and Space Administration.
#
# All rights reserved.
#
# The Astrobee platform is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this file except in comp... | 0 | 0 | 0 | 0 | 0 | 3,740 | 0 | -13 | 68 |
28a53f3ba104946a94d464991748f4c97f055010 | 3,212 | py | Python | nes/nasbench201/worker.py | automl/nes | 1c54786c30acd6e19eb9708204bffc86b58ea272 | [
"Apache-2.0"
] | 26 | 2020-06-22T16:07:54.000Z | 2022-03-23T08:12:05.000Z | nes/nasbench201/worker.py | automl/nes | 1c54786c30acd6e19eb9708204bffc86b58ea272 | [
"Apache-2.0"
] | 2 | 2020-07-13T06:23:18.000Z | 2022-03-31T07:30:18.000Z | nes/nasbench201/worker.py | automl/nes | 1c54786c30acd6e19eb9708204bffc86b58ea272 | [
"Apache-2.0"
] | 4 | 2020-07-06T01:55:16.000Z | 2021-08-02T00:00:14.000Z | import warnings
warnings.filterwarnings('ignore')
| 38.698795 | 96 | 0.527086 | import os
import torch
import warnings
warnings.filterwarnings('ignore')
from hpbandster.core.worker import Worker
from nes.ensemble_selection.create_baselearners import create_baselearner
class NB201Worker(Worker):
def __init__(self, working_directory, *args, scheme='nes_re',
dataset='cifar10',... | 0 | 0 | 0 | 2,996 | 0 | 0 | 0 | 51 | 112 |
5ea40f57be182f0f21b54b10a278a66105e190eb | 1,916 | py | Python | Canvas and mouse events.py | Hanif-adedotun/Hanif-codes | 9835c6196a638e9c56855123fc3f95111a1a4b08 | [
"Apache-2.0"
] | null | null | null | Canvas and mouse events.py | Hanif-adedotun/Hanif-codes | 9835c6196a638e9c56855123fc3f95111a1a4b08 | [
"Apache-2.0"
] | null | null | null | Canvas and mouse events.py | Hanif-adedotun/Hanif-codes | 9835c6196a638e9c56855123fc3f95111a1a4b08 | [
"Apache-2.0"
] | null | null | null |
mainclass()
| 29.9375 | 121 | 0.601775 | import tkinter
from tkinter import ttk
class PenData(object):
def __init__(self):
self.color = 'blue'
self.mouse_position_x = None
self.mouse_position_y = None
self.is_dragging = False
def mainclass():
pen_data = PenData()
root = tkinter.Tk()
... | 0 | 0 | 0 | 165 | 0 | 1,523 | 0 | -5 | 196 |
d1c385c7180a7b9254f9e62bbe86e0bb6017fbf0 | 719 | py | Python | Pratical/Class11/gradient.py | JoaoCostaIFG/MNUM | 6e042d8a6f64feb9eae9c79afec2fbab51f46fbd | [
"MIT"
] | 1 | 2019-12-07T10:34:30.000Z | 2019-12-07T10:34:30.000Z | Pratical/Class11/gradient.py | JoaoCostaIFG/MNUM | 6e042d8a6f64feb9eae9c79afec2fbab51f46fbd | [
"MIT"
] | null | null | null | Pratical/Class11/gradient.py | JoaoCostaIFG/MNUM | 6e042d8a6f64feb9eae9c79afec2fbab51f46fbd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# init conds
x = [15, 15, f(15, 15)]
lamb = 2
xold = [99, 99, f(99, 99)]
while dist(xold, x) > 0.5 and lamb >= 0.0001:
print("x:", x)
print("xold", xold)
xnew = grad(*x)
xnew = [x[0] - lamb * xnew[0], x[1] - lamb * xnew[1], 0]
xnew[2] = f(xnew[0], xnew[1])
print("xne... | 17.119048 | 74 | 0.472879 | #!/usr/bin/env python3
from math import sqrt
def dist(x, x2):
return sqrt((x2[0] - x[0])**2 + (x2[1] - x[1])**2 + (x2[2] - x[2])**2)
def f(x, y):
# function
return x**2 + y**2
def grad(x, y, z):
# gradient of f
return [2*x, 2*y, 0]
# init conds
x = [15, 15, f(15, 15)]
lamb = 2
xold = [99, ... | 0 | 0 | 0 | 0 | 0 | 141 | 0 | 0 | 92 |
1527752435f7ca5ae720d908e311036ee8c5efdf | 812 | py | Python | tanner/app/models.py | rodrigo-c/docker3 | 6bab0d1a88cfa763d78788eeae9092b37abcc28a | [
"Apache-2.0"
] | null | null | null | tanner/app/models.py | rodrigo-c/docker3 | 6bab0d1a88cfa763d78788eeae9092b37abcc28a | [
"Apache-2.0"
] | null | null | null | tanner/app/models.py | rodrigo-c/docker3 | 6bab0d1a88cfa763d78788eeae9092b37abcc28a | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
"""
Definition of models.
"""
| 21.945946 | 54 | 0.668719 | # coding=utf-8
"""
Definition of models.
"""
from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
class Page(models.Model):
title = models.CharField('nombre', max_length=200)
slug = models.SlugField('ruta')
def __unicode__(self):
return u"{}".fo... | 4 | 0 | 0 | 610 | 0 | 0 | 0 | 39 | 112 |
3140c03b8f849fe93ab756edf398744377fc7852 | 23,908 | py | Python | sdk/python/pulumi_aws/cfg/_inputs.py | sibuthomasmathew/pulumi-aws | 6351f2182eb6f693d4e09e4136c385adfa0ab674 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/cfg/_inputs.py | sibuthomasmathew/pulumi-aws | 6351f2182eb6f693d4e09e4136c385adfa0ab674 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/cfg/_inputs.py | sibuthomasmathew/pulumi-aws | 6351f2182eb6f693d4e09e4136c385adfa0ab674 | [
"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 pulumi
from .. import _utilities, _tables
__all__ = [
'ConfigurationAggregatorAccountAggregationSourceArgs',
'Configurat... | 49.912317 | 665 | 0.695583 | # 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | 0 | 22,972 | 0 | 0 | 0 | 0 | 0 | 31 | 274 |
235658fe2b588cd6827e8328a007266b3d9a0e5c | 3,455 | py | Python | apart/forms/price.py | ruslan-ok/ruslan | fc402e53d2683581e13f4d6c69a6f21e5c2ca1f8 | [
"MIT"
] | null | null | null | apart/forms/price.py | ruslan-ok/ruslan | fc402e53d2683581e13f4d6c69a6f21e5c2ca1f8 | [
"MIT"
] | null | null | null | apart/forms/price.py | ruslan-ok/ruslan | fc402e53d2683581e13f4d6c69a6f21e5c2ca1f8 | [
"MIT"
] | null | null | null |
role = 'price'
#----------------------------------
#----------------------------------
| 39.712644 | 137 | 0.61563 | from django import forms
from django.utils.translation import gettext_lazy as _
from rusel.base.forms import BaseCreateForm, BaseEditForm
from rusel.widgets import DateInput, Select, NumberInput, UrlsInput
from task.const import NUM_ROLE_SERVICE, APART_SERVICE
from task.models import Task
from apart.config import app_... | 110 | 0 | 0 | 2,931 | 0 | 0 | 0 | 172 | 199 |
b7362eb4ece001a3cb24c1277ef1861a0c061a77 | 1,053 | py | Python | usr/examples/face_detection.py | SmartArduino/openmv | 9398ae0248b5f4dabb622f8890ad351e163b80c4 | [
"MIT"
] | null | null | null | usr/examples/face_detection.py | SmartArduino/openmv | 9398ae0248b5f4dabb622f8890ad351e163b80c4 | [
"MIT"
] | null | null | null | usr/examples/face_detection.py | SmartArduino/openmv | 9398ae0248b5f4dabb622f8890ad351e163b80c4 | [
"MIT"
] | 1 | 2020-11-28T14:41:49.000Z | 2020-11-28T14:41:49.000Z | import sensor, time, image
# Reset sensor
sensor.reset()
# Sensor settings
sensor.set_contrast(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QCIF)
sensor.set_pixformat(sensor.GRAYSCALE)
# Load Haar Cascade
# By default this will use all stages, lower satges is faster but less accurate.
face_cascade = ima... | 25.071429 | 86 | 0.707502 | import sensor, time, image
# Reset sensor
sensor.reset()
# Sensor settings
sensor.set_contrast(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QCIF)
sensor.set_pixformat(sensor.GRAYSCALE)
# Load Haar Cascade
# By default this will use all stages, lower satges is faster but less accurate.
face_cascade = ima... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3c9533e279378d9905320b12521168606747a52f | 15,621 | py | Python | analysis/config/campaign_Legacy16.py | cms-btv-pog/jet-tagging-sf | c418e13aa4eac5522818d5f5ad3db2a0c81ec52e | [
"Apache-2.0"
] | 3 | 2020-01-22T08:30:14.000Z | 2021-12-27T18:47:43.000Z | analysis/config/campaign_Legacy16.py | cms-btv-pog/jet-tagging-sf | c418e13aa4eac5522818d5f5ad3db2a0c81ec52e | [
"Apache-2.0"
] | null | null | null | analysis/config/campaign_Legacy16.py | cms-btv-pog/jet-tagging-sf | c418e13aa4eac5522818d5f5ad3db2a0c81ec52e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# flake8: noqa
"""
Defintion of the campaign and datasets for 2016 legacy rereco data.
"""
import order as od
# campaign
campaign_name = "Run2_pp_13TeV_Legacy16"
campaign = od.Campaign(
campaign_name, 2,
ecm=13,
bx=25,
)
# datasets
dataset_data_B_ee = od.Dataset(
"data_B_e... | 25.441368 | 164 | 0.730299 | # -*- coding: utf-8 -*-
# flake8: noqa
"""
Defintion of the campaign and datasets for 2016 legacy rereco data.
"""
import order as od
from analysis.config.processes import *
# campaign
campaign_name = "Run2_pp_13TeV_Legacy16"
campaign = od.Campaign(
campaign_name, 2,
ecm=13,
bx=25,
)
# datasets
data... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 23 |