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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6edc5a13e61a1bdcdf25bd7cc6d12ff98125bfdd | 39 | py | Python | Python/Tests/TestData/SendToInteractiveWorkspace/PrintInterpreter.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 404 | 2019-05-07T02:21:57.000Z | 2022-03-31T17:03:04.000Z | Python/Tests/TestData/SendToInteractiveWorkspace/PrintInterpreter.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 1,672 | 2019-05-06T21:09:38.000Z | 2022-03-31T23:16:04.000Z | Python/Tests/TestData/SendToInteractiveWorkspace/PrintInterpreter.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 186 | 2019-05-13T03:17:37.000Z | 2022-03-31T16:24:05.000Z | import sys
print(sys.version_info[:2])
| 13 | 27 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6eddc54b10cac9432a4ae367a239a6cc76b7801e | 2,467 | py | Python | datename/filetime.py | tekemperor/datename | 6e2d27c6e64ecb8e07a673c2aa10ed1e661aad03 | [
"MIT"
] | null | null | null | datename/filetime.py | tekemperor/datename | 6e2d27c6e64ecb8e07a673c2aa10ed1e661aad03 | [
"MIT"
] | null | null | null | datename/filetime.py | tekemperor/datename | 6e2d27c6e64ecb8e07a673c2aa10ed1e661aad03 | [
"MIT"
] | null | null | null | """This module is designed to build timestrings from file metadata.
Everything is done in seconds since the unix epoch or UTC.
Author: Brian Lindsay
Author Email: tekemperor@gmail.com
"""
import sys
import os
import datetime
def filetime(file_path):
"""Returns formatted time string from file metadata.
Uses mo... | 34.746479 | 130 | 0.631131 | 266 | 0.107823 | 0 | 0 | 0 | 0 | 0 | 0 | 1,233 | 0.499797 |
6ee3a4796a1381dccf1edb9593a4f340f39bac8a | 9,750 | py | Python | main_cifar10.py | snu-ccl/approxCNN | 49cc0e6635682f678f8501424063102fe30d7dd6 | [
"CECILL-B"
] | 1 | 2022-01-16T03:45:43.000Z | 2022-01-16T03:45:43.000Z | main_cifar10.py | snu-ccl/approxCNN | 49cc0e6635682f678f8501424063102fe30d7dd6 | [
"CECILL-B"
] | null | null | null | main_cifar10.py | snu-ccl/approxCNN | 49cc0e6635682f678f8501424063102fe30d7dd6 | [
"CECILL-B"
] | null | null | null | from __future__ import print_function
from tqdm import *
import sys
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torch.optim import lr_scheduler
import torch.utils.data.distributed
import torchvision.tran... | 41.489362 | 136 | 0.643282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,695 | 0.27641 |
6ee540409b07f789b14091c60316fa04528be96a | 1,355 | py | Python | annotation_predictor/concat_detection_records.py | Inch4Tk/label_server | 3d0c39dd5a0c456794a1375051ca4f93a438ebf6 | [
"MIT"
] | null | null | null | annotation_predictor/concat_detection_records.py | Inch4Tk/label_server | 3d0c39dd5a0c456794a1375051ca4f93a438ebf6 | [
"MIT"
] | null | null | null | annotation_predictor/concat_detection_records.py | Inch4Tk/label_server | 3d0c39dd5a0c456794a1375051ca4f93a438ebf6 | [
"MIT"
] | null | null | null | import argparse
import json
import os
from datetime import datetime
from settings import annotation_predictor_metadata_dir
def concat_detection_record(record1: str, record2: str):
"""
Concatenates two detection records and saves them in a new file.
Args:
record1: Path to first record, saved in a ... | 32.261905 | 81 | 0.678967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 458 | 0.338007 |
6ee63c9ba38d1ce17bcb6d0ca426d297c79f4912 | 2,579 | py | Python | OPTIMAQS/controller/controller/device.py | jeremyforest/whole_optic_gui | 7af257e739da90b8ce8b2531aa1c520959fa7bff | [
"MIT"
] | null | null | null | OPTIMAQS/controller/controller/device.py | jeremyforest/whole_optic_gui | 7af257e739da90b8ce8b2531aa1c520959fa7bff | [
"MIT"
] | 6 | 2021-02-02T23:09:14.000Z | 2022-03-12T00:52:01.000Z | OPTIMAQS/controller/controller/device.py | jeremyforest/whole_optic_gui | 7af257e739da90b8ce8b2531aa1c520959fa7bff | [
"MIT"
] | null | null | null | """
Generic Device class for manipulators.
To make a new device, one must implement at least:
* position
* absolute_move
"""
from numpy import array
import time
__all__ = ['Device']
class Device(object):
def __init__(self):
pass
def position(self, axis):
'''
Current position along an... | 23.66055 | 81 | 0.535479 | 2,394 | 0.928267 | 0 | 0 | 0 | 0 | 0 | 0 | 1,506 | 0.583947 |
6ee9460f4f92c18fd62442a8f5aa3304ac1ef00f | 9,068 | py | Python | phot/command_test.py | SilverRon/gppy | 0ee56ca270af62afe1702fce37bef30add14f12a | [
"MIT"
] | 4 | 2019-05-08T08:08:59.000Z | 2021-12-22T08:57:46.000Z | phot/command_test.py | SilverRon/gppy | 0ee56ca270af62afe1702fce37bef30add14f12a | [
"MIT"
] | null | null | null | phot/command_test.py | SilverRon/gppy | 0ee56ca270af62afe1702fce37bef30add14f12a | [
"MIT"
] | 2 | 2019-05-08T08:09:02.000Z | 2019-06-27T13:41:44.000Z | # PHOTOMETRY CODE (TEST) FOR PYTHON 3.X
# 2019.03.09
# GREGORY S.H. PAEK
#============================================================
import os, glob
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import ascii
from astropy.io import fits
#from imsng import zpcal
#===================================... | 41.031674 | 168 | 0.585686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,476 | 0.383326 |
6eec71c6872297c8b70027ce91c50b56182bea2c | 5,440 | py | Python | LetsCook/recipes/views.py | ivo-bass/iCook | c45f97ac3d8da0c52ccd85ecac0bab51bc4c8048 | [
"MIT"
] | 1 | 2021-08-05T07:15:59.000Z | 2021-08-05T07:15:59.000Z | LetsCook/recipes/views.py | ivo-bass/iCook | c45f97ac3d8da0c52ccd85ecac0bab51bc4c8048 | [
"MIT"
] | null | null | null | LetsCook/recipes/views.py | ivo-bass/iCook | c45f97ac3d8da0c52ccd85ecac0bab51bc4c8048 | [
"MIT"
] | null | null | null | from django.db import transaction
from django.shortcuts import render, redirect
from django.urls import reverse_lazy, reverse
from django.views.generic import CreateView, ListView, DeleteView, UpdateView, DetailView
from django.contrib.auth.mixins import LoginRequiredMixin
from LetsCook.common.forms import CommentForm... | 35.096774 | 96 | 0.662316 | 4,839 | 0.889522 | 0 | 0 | 0 | 0 | 0 | 0 | 1,131 | 0.207904 |
6eeeabe42368fcdd5282d7697a76a1888678e252 | 4,540 | py | Python | myhoodApp/forms.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | myhoodApp/forms.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | myhoodApp/forms.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null |
from . models import Profile, Business,Myhood, PolicePosts, HealthFacilities, UserPost
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.forms import widgets
class UserRegistrationForm(UserCreationForm):
class Meta:
mo... | 35.46875 | 160 | 0.586344 | 4,252 | 0.936564 | 0 | 0 | 0 | 0 | 0 | 0 | 1,615 | 0.355727 |
6eef0375ed02fe1987ef09d32e826630ef2e2fef | 4,599 | py | Python | ponyo/train_vae_modules.py | ajlee21/ponyo | f68a461b2edd4ab3d9c0699a1e5e8dcd1308cc75 | [
"BSD-3-Clause"
] | 1 | 2020-12-17T17:34:53.000Z | 2020-12-17T17:34:53.000Z | ponyo/train_vae_modules.py | ajlee21/ponyo | f68a461b2edd4ab3d9c0699a1e5e8dcd1308cc75 | [
"BSD-3-Clause"
] | 37 | 2020-06-15T18:15:10.000Z | 2022-02-10T02:34:29.000Z | ponyo/train_vae_modules.py | ajlee21/ponyo | f68a461b2edd4ab3d9c0699a1e5e8dcd1308cc75 | [
"BSD-3-Clause"
] | 3 | 2020-06-12T19:56:16.000Z | 2021-04-21T15:22:33.000Z | """
Author: Alexandra Lee
Date Created: 11 March 2020
Scripts related to training the VAE including
1. Normalizing gene expression data
2. Wrapper function to input training parameters and run vae
training in `vae.tybalt_2layer_model`
"""
from ponyo import vae, utils
import os
import pickle
import pandas as pd
from s... | 27.375 | 112 | 0.68928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,270 | 0.493586 |
42b27e1114addb6efa22983ea1b8536333e5b90e | 3,096 | py | Python | datar/forcats/misc.py | stjordanis/datar | 4e2b5db026ad35918954576badef9951928c0cb1 | [
"MIT"
] | 110 | 2021-03-09T04:10:40.000Z | 2022-03-13T10:28:20.000Z | datar/forcats/misc.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 54 | 2021-06-20T18:53:44.000Z | 2022-03-29T22:13:07.000Z | datar/forcats/misc.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 11 | 2021-06-18T03:03:14.000Z | 2022-02-25T11:48:26.000Z | """Provides other helper functions for factors"""
from typing import Any, Iterable
import numpy
from pandas import Categorical, DataFrame
from pipda import register_verb
from pipda.utils import CallingEnvs
from ..core.types import ForcatsRegType, ForcatsType, is_null, is_scalar
from ..core.utils import Array
from ..co... | 25.377049 | 78 | 0.622739 | 0 | 0 | 0 | 0 | 2,472 | 0.79845 | 0 | 0 | 761 | 0.245801 |
42b41a2f0adeb62c8c1ac936436eafb38cf4632a | 71 | py | Python | gnn_fw/__init__.py | krzysztoffiok/gnn-classification-pipeline | b0bfb209bcf8856e68d2714b04bada9104e3c75b | [
"MIT"
] | 1 | 2021-12-14T20:14:58.000Z | 2021-12-14T20:14:58.000Z | gnn_fw/__init__.py | krzysztoffiok/gnn-classification-pipeline | b0bfb209bcf8856e68d2714b04bada9104e3c75b | [
"MIT"
] | null | null | null | gnn_fw/__init__.py | krzysztoffiok/gnn-classification-pipeline | b0bfb209bcf8856e68d2714b04bada9104e3c75b | [
"MIT"
] | null | null | null | from . import utils
from . import models
__all__ = ['utils', 'models']
| 17.75 | 29 | 0.690141 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.211268 |
42b603082633608e2a31d1e0d368cdcfc8b30d98 | 6,585 | py | Python | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-06-27T11:26:29.000Z | 2019-06-27T11:26:29.000Z | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2018 PIQuIL - All Rights Reserved
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache Licens... | 39.431138 | 88 | 0.603037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,786 | 0.423083 |
42b6226b2537a6c2f5c9d9708d383f584b883497 | 214 | py | Python | tests/test0.py | Rfys/ConcreteStructures | a6cf18dc4697643bc6acffe6d228c4f9fc55f127 | [
"MIT"
] | 1 | 2021-08-20T19:28:11.000Z | 2021-08-20T19:28:11.000Z | tests/test0.py | arifyunando/ConcreteStructures | a6cf18dc4697643bc6acffe6d228c4f9fc55f127 | [
"MIT"
] | null | null | null | tests/test0.py | arifyunando/ConcreteStructures | a6cf18dc4697643bc6acffe6d228c4f9fc55f127 | [
"MIT"
] | null | null | null | cond = True
while cond:
x = int(input("Input X Value :"))
y = 10 if (x > 10) else 5 if (x < 5) else x
print("{} is the Y value".format(y))
cond = True if input("continue? y/n :") == "y" else False
| 26.75 | 61 | 0.546729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.261682 |
42b7e07ad45d9d0be2cad9161c36276cb3b1762f | 1,433 | py | Python | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | import copy
def next10(i):
# start condition
board = [3, 7]
elves = [0, 1]
found = False
# while (len(board) < i + 10):
while (not found):
to_add = board[elves[0]] + board[elves[1]]
if (to_add < 10):
board.append(to_add)
if (board[-1*len(i):] == i):
... | 31.844444 | 66 | 0.491975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 469 | 0.327285 |
42b83fe05de3f7690454c9ae7844d6d5c0896fb0 | 892 | py | Python | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | import xmlrpclib
from SimpleXMLRPCServer import SimpleXMLRPCServer
from SimpleXMLRPCServer import SimpleXMLRPCRequestHandler
import numpy as np
from io import StringIO
from numpy.linalg import inv
from scipy.linalg import *
# Restrict to a particular path.
class RequestHandler(SimpleXMLRPCRequestHandler):
... | 27.030303 | 59 | 0.734305 | 77 | 0.086323 | 0 | 0 | 0 | 0 | 0 | 0 | 141 | 0.158072 |
42b8718fafc7a5efe59718792e559a9ba4afb7ac | 38 | py | Python | jetbrains-academy/Zookeeper/Problems/Print an integer/task.py | robinpatra/ML-Study-3 | 6f401706a8da4cac5e63304ce09ff6ff62756d0b | [
"MIT"
] | null | null | null | jetbrains-academy/Zookeeper/Problems/Print an integer/task.py | robinpatra/ML-Study-3 | 6f401706a8da4cac5e63304ce09ff6ff62756d0b | [
"MIT"
] | null | null | null | jetbrains-academy/Zookeeper/Problems/Print an integer/task.py | robinpatra/ML-Study-3 | 6f401706a8da4cac5e63304ce09ff6ff62756d0b | [
"MIT"
] | null | null | null | # put your python code here
print(10)
| 12.666667 | 27 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.710526 |
42ba676a4b1855f63fba242958ff64fc7b10d468 | 1,524 | py | Python | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
from smtplib import SMTPException
from django.conf import settings
from django.core.management import BaseCommand
from django.core.mail import send_mail
class Command(BaseCommand):
def _log(self, tag, result):
label = self.style.ERROR("XXX")
if result:
... | 30.48 | 84 | 0.57874 | 1,330 | 0.872703 | 0 | 0 | 0 | 0 | 0 | 0 | 322 | 0.211286 |
42ba9ea7e400e5ef293ccdc589dfbbce586a2405 | 4,113 | py | Python | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 358 | 2016-02-24T01:36:55.000Z | 2022-02-20T00:10:22.000Z | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 5 | 2016-02-24T22:50:25.000Z | 2017-01-30T07:58:00.000Z | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 27 | 2016-02-24T13:40:22.000Z | 2021-06-30T12:04:41.000Z | """Manages the lifecycle of a docker container.
Use via the with statement:
with Container(some_image) as c:
for line in c.run("some_command"):
print line
"""
import docker
import click, os
# sets the docker host from your environment variables
client = docker.Client(
**docker.utils.kwargs_from_env(a... | 33.713115 | 125 | 0.623389 | 1,704 | 0.414296 | 410 | 0.099684 | 2,060 | 0.500851 | 0 | 0 | 1,480 | 0.359835 |
42bb4531b3deb62a4952ce2f40bb5fa396ce9810 | 4,321 | py | Python | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | import networkx as nx
import numpy as np
from sklearn import covariance
import torch
def convertToTorch(data, req_grad=False, use_cuda=False):
"""Convert data from numpy to torch variable, if the req_grad
flag is on then the gradient calculation is turned on.
"""
if not torch.is_tensor(data):
d... | 33.757813 | 78 | 0.649618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,168 | 0.501736 |
42bc62f46cb6d0412a2527cc37f497de098a673f | 1,475 | py | Python | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | 1 | 2020-08-28T20:29:23.000Z | 2020-08-28T20:29:23.000Z | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | null | null | null | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | null | null | null | def multiplica_matrizes(m1, m2):
'''Minha solução para multiplicação de matrizes'''
matriz = []
cont = 0
b1 = 0
for t in range(len(m1)): # números de linhas mat1
linhanova = []
for t1 in range(len(m2[0])): #números de colunas mat2
while cont < len(m2):
#a1... | 28.921569 | 70 | 0.492203 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 0.303849 |
42be5593e5ad34672a3cc8c35480ab8277503b75 | 366 | py | Python | zoo_checks/migrations/0016_auto_20190609_2337.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | null | null | null | zoo_checks/migrations/0016_auto_20190609_2337.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | 3 | 2019-06-01T14:56:19.000Z | 2019-06-03T13:53:27.000Z | zoo_checks/migrations/0016_auto_20190609_2337.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.2 on 2019-06-10 03:37
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('zoo_checks', '0015_auto_20190609_2303'),
]
operations = [
migrations.RenameField(
model_name='enclosure',
old_name='user',
... | 19.263158 | 50 | 0.587432 | 281 | 0.76776 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.295082 |
42c012688f03cf2033f2ea77e4e8d937fb973de4 | 996 | py | Python | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 16 | 2018-01-17T06:03:23.000Z | 2021-11-08T18:54:20.000Z | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 36 | 2018-03-16T15:17:58.000Z | 2022-03-18T17:54:49.000Z | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 15 | 2018-01-11T09:11:13.000Z | 2022-03-21T11:37:42.000Z | """
Tests of the view factors module
"""
import pytest
import numpy as np
from bifacialvf.vf import getSkyConfigurationFactors
from bifacialvf.tests import (
SKY_BETA160_C05_D1, SKY_BETA20_C05_D1, SKY_BETA20_C0_D1, SKY_BETA160_C0_D1,
SKY_BETA160_C1_D1, SKY_BETA20_C1_D1, SKY_BETA20_C1_D0, SKY_BETA160_C1_D0,
... | 39.84 | 79 | 0.715863 | 0 | 0 | 0 | 0 | 634 | 0.636546 | 0 | 0 | 152 | 0.15261 |
42c0646e767e46f559cbd944cee5d0ed57e7deeb | 732 | py | Python | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | # Databricks notebook source
import horovod.tensorflow.keras as hvd
def run_training_horovod():
# Horovod: initialize Horovod.
hvd.init()
import os
print(os.environ.get('PYTHONPATH'))
print(os.environ.get('PYTHONHOME'))
print(f"Rank is: {hvd.rank()}")
print(f"Size is: {hvd.size()}")
# COMM... | 24.4 | 89 | 0.715847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 241 | 0.329235 |
42c257f8e741fb7454d04ca5e731e44ef13939f5 | 1,973 | py | Python | scripts/upload_certificates_to_ssm.py | ministryofjustice/bichard7-next-shared-infrastructure | 97ca93e00494e0e7df37dbf03dc6639a60fef956 | [
"MIT"
] | 2 | 2021-12-17T10:42:44.000Z | 2022-03-02T11:05:57.000Z | scripts/upload_certificates_to_ssm.py | ministryofjustice/bichard7-next-shared-infrastructure | 97ca93e00494e0e7df37dbf03dc6639a60fef956 | [
"MIT"
] | 4 | 2022-01-24T17:25:29.000Z | 2022-03-07T10:20:52.000Z | scripts/upload_certificates_to_ssm.py | ministryofjustice/bichard7-next-shared-infrastructure | 97ca93e00494e0e7df37dbf03dc6639a60fef956 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import boto3
import os
import base64
"""
Uploads pre-generated certificates to SSM for the ci to consume
example
WORKSPACE=dev-next ENVIRONMENT=sandbox aws-vault exec sandbox-shared -- make upload-certificates
"""
class UploadCertificates(object):
ssm_client = None
environment = None... | 29.893939 | 108 | 0.598074 | 1,646 | 0.834263 | 0 | 0 | 0 | 0 | 0 | 0 | 592 | 0.300051 |
42c29f19d671bb8c233ec4e951db0332a942d9aa | 1,709 | py | Python | OPManager.py | eduze/GenerativeDetector | 4aa85e1977abe0e400962dff12b3d0a26900bfd3 | [
"Apache-2.0"
] | 1 | 2018-05-11T03:12:11.000Z | 2018-05-11T03:12:11.000Z | OPManager.py | eduze/GenerativeDetector | 4aa85e1977abe0e400962dff12b3d0a26900bfd3 | [
"Apache-2.0"
] | null | null | null | OPManager.py | eduze/GenerativeDetector | 4aa85e1977abe0e400962dff12b3d0a26900bfd3 | [
"Apache-2.0"
] | null | null | null | import multiprocessing
from multiprocessing import Queue
from OpenPersonDetector import OpenPersonDetector
from newgen.GenerativeDetector import AbstractDetectorGenerator
class ManagedOPDetector:
def __init__(self, input_queue, output_queue):
self.input_queue = input_queue
self.output_queue = ou... | 32.245283 | 98 | 0.693973 | 1,527 | 0.893505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
42c3250899086a2d423b9d8448bed7aa2e3d35b4 | 1,832 | py | Python | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | 1 | 2022-03-05T04:20:46.000Z | 2022-03-05T04:20:46.000Z | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | null | null | null | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 12 10:11:09 2020
@author: NAT
"""
import torch
from torch.utils.data import Dataset
import json
import os
from PIL import Image
from utils import transform
class VOCDataset(Dataset):
def __init__(self, DataFolder, split):
"""
DataFol... | 33.309091 | 105 | 0.543668 | 1,582 | 0.863537 | 0 | 0 | 0 | 0 | 0 | 0 | 414 | 0.225983 |
42c34955df6c0e7aa377ac0cc57e813a5826e6fa | 7,564 | py | Python | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 17 | 2019-03-08T15:33:46.000Z | 2021-11-02T18:22:47.000Z | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 8 | 2018-12-23T21:17:36.000Z | 2019-12-10T13:52:13.000Z | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 12 | 2019-01-26T15:00:32.000Z | 2022-03-15T08:04:17.000Z | #!/usr/bin/python
DOCUMENTATION = '''
---
module: to_toml, from_toml
version_added: "2.8"
short_description: Converts Python data to TOML and TOML to Python data.
author:
- "Samy Coenen (contact@samycoenen.be)"
'''
import datetime
import sys
from collections import OrderedDict
#pip3 install python-toml
def to_to... | 22.714715 | 77 | 0.504098 | 204 | 0.02697 | 0 | 0 | 0 | 0 | 0 | 0 | 1,049 | 0.138683 |
42c37f3f064078bde91e95903b77950bc9bd114f | 414 | py | Python | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | def divisor(n: int):
divisors = []
for integer in range(1, int(n**0.5)+1):
if not n % integer:
divisors.append(integer)
divisors.append(n//integer)
divisors.sort()
return divisors
n = int(input())
divisors = divisor(2*n)
answer = 0
for integer in divisors:
pair = 2*... | 21.789474 | 43 | 0.562802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
42c55d5c799cf1af35cb63cb32b363a33a23a6ae | 862 | py | Python | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | from mongoengine import Document, IntField, StringField, FloatField, connect
from pymongo import UpdateOne
class Episode(Document):
title = StringField(required=True)
show = StringField(required=True)
rating = FloatField(required=True)
votes = IntField(required=True)
def bulk_upsert(episodes):
bu... | 29.724138 | 93 | 0.611369 | 176 | 0.204176 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.029002 |
42c5815338a4f22f9d03e6f124f41c7f94882e58 | 5,702 | py | Python | tests/__init__.py | open-contracting/pelican-backend | dee9afb48f7485f94544bcfbb977558d638098cd | [
"BSD-3-Clause"
] | 1 | 2021-07-21T15:23:22.000Z | 2021-07-21T15:23:22.000Z | tests/__init__.py | open-contracting/pelican-backend | dee9afb48f7485f94544bcfbb977558d638098cd | [
"BSD-3-Clause"
] | 40 | 2021-06-29T23:53:14.000Z | 2022-02-23T20:14:11.000Z | tests/__init__.py | open-contracting/pelican-backend | dee9afb48f7485f94544bcfbb977558d638098cd | [
"BSD-3-Clause"
] | null | null | null | import json
import os
from contextlib import AbstractContextManager
from tools import settings
def is_subset_dict(subset, superset):
return subset.items() <= superset.items()
def read(basename):
with open(os.path.join("tests", "fixtures", f"{basename}.json")) as f:
return json.load(f)
class overr... | 29.853403 | 117 | 0.452999 | 5,161 | 0.905121 | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 0.123641 |
42c7d640438be57526485791184f5fce55d31e34 | 276 | py | Python | setup.py | pystatgen/sgk | f39e1b1bc3b16d05c5043ab5d445076424dad229 | [
"Apache-2.0"
] | 74 | 2020-06-16T18:08:24.000Z | 2022-02-10T06:42:30.000Z | setup.py | pystatgen/sgk | f39e1b1bc3b16d05c5043ab5d445076424dad229 | [
"Apache-2.0"
] | 677 | 2020-06-18T15:57:33.000Z | 2022-03-31T16:20:50.000Z | setup.py | pystatgen/sgk | f39e1b1bc3b16d05c5043ab5d445076424dad229 | [
"Apache-2.0"
] | 20 | 2020-06-22T13:40:10.000Z | 2022-03-05T03:33:13.000Z | #!/usr/bin/env python
from setuptools import setup
setup(
# The package name along with all the other metadata is specified in setup.cfg
# However, GitHub's dependency graph can't see the package unless we put this here.
name="sgkit",
use_scm_version=True,
)
| 27.6 | 87 | 0.728261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.684783 |
42c7fd5ab2f8f92a26fe730d8bb3070bbc988e18 | 238 | py | Python | Python/5. Math/exercise2.py | mukeshmithrakumar/HackerRankSolutions | cd9e71be5e8703287b9f4efc042df8827175af1b | [
"MIT"
] | 12 | 2019-10-29T09:49:26.000Z | 2022-02-21T09:43:41.000Z | Python/5. Math/exercise2.py | ozturkosu/HackerRankSolutions | cd9e71be5e8703287b9f4efc042df8827175af1b | [
"MIT"
] | null | null | null | Python/5. Math/exercise2.py | ozturkosu/HackerRankSolutions | cd9e71be5e8703287b9f4efc042df8827175af1b | [
"MIT"
] | 10 | 2019-12-22T03:18:50.000Z | 2021-09-23T16:55:25.000Z | # Mod Divmod "https://www.hackerrank.com/challenges/python-mod-divmod/problem"
# Enter your code here. Read input from STDIN. Print output to STDOUT
a, b = (int(input()) for _ in range(2))
print(a // b)
print(a % b)
print(divmod(a, b))
| 26.444444 | 78 | 0.693277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.617647 |
42caa75d97d78a5da176444b0c283b314888e8e5 | 4,161 | py | Python | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | import subprocess
import docx.table
import pandas as pd
from docx import Document
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
from docx.oxml import OxmlElement
from docx.oxml import ns
from docx.oxml.ns import qn
from docx.shared import Inches, Pt
from docx.table import _Cell
from docx2pdf import convert
class... | 32.76378 | 77 | 0.59553 | 3,845 | 0.924057 | 0 | 0 | 2,547 | 0.612112 | 0 | 0 | 437 | 0.105023 |
42cafc4dfa6b35f9ab782a932c1fbfc6c8a9e175 | 357 | py | Python | src/tests/test_import.py | williamsardar/pythonnet | a97a7768e0289e1b53ffc1ab67d89343d15bca44 | [
"MIT"
] | 1 | 2019-03-09T21:03:07.000Z | 2019-03-09T21:03:07.000Z | src/tests/test_import.py | williamsardar/pythonnet | a97a7768e0289e1b53ffc1ab67d89343d15bca44 | [
"MIT"
] | null | null | null | src/tests/test_import.py | williamsardar/pythonnet | a97a7768e0289e1b53ffc1ab67d89343d15bca44 | [
"MIT"
] | 1 | 2018-06-27T10:04:11.000Z | 2018-06-27T10:04:11.000Z | # -*- coding: utf-8 -*-
"""Test the import statement."""
import pytest
def test_relative_missing_import():
"""Test that a relative missing import doesn't crash.
Some modules use this to check if a package is installed.
Relative import in the site-packages folder"""
with pytest.raises(ImportError):
... | 25.5 | 61 | 0.703081 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 221 | 0.619048 |
42cb33c39eef7cfef0c1bffc6049d2b0b685ecd4 | 2,879 | py | Python | src/metrics/metrics.py | koonn/bunseki | deb397e40a02bb709825c70c9be81f54449ac195 | [
"BSD-3-Clause"
] | null | null | null | src/metrics/metrics.py | koonn/bunseki | deb397e40a02bb709825c70c9be81f54449ac195 | [
"BSD-3-Clause"
] | null | null | null | src/metrics/metrics.py | koonn/bunseki | deb397e40a02bb709825c70c9be81f54449ac195 | [
"BSD-3-Clause"
] | null | null | null | """精度評価指標を計算するモジュール
y_trueと、y_pred_probaから精度評価指標を計算するための関数群
"""
import sklearn.metrics as skm
import numpy as np
def auc(y_true, y_pred_proba):
"""AUCを計算する関数
Args:
y_true(1-D array-like shape of [n_samples, ]): 2値の目的ラベルの配列(ラベルは0または1)
y_pred_proba(1-D array-like shape of [n_samples, ]): 陽性(ラ... | 27.951456 | 91 | 0.688086 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,952 | 0.757117 |
42ccc44e8009b96f149e5a73b46e05451f065677 | 19,759 | py | Python | google/ads/google_ads/v2/proto/services/campaign_criterion_service_pb2.py | jiulongw/google-ads-python | 6f5256eb1eeb5a9a95c8cdb9b97988d3a676282e | [
"Apache-2.0"
] | 1 | 2019-11-30T23:42:39.000Z | 2019-11-30T23:42:39.000Z | google/ads/google_ads/v2/proto/services/campaign_criterion_service_pb2.py | jiulongw/google-ads-python | 6f5256eb1eeb5a9a95c8cdb9b97988d3a676282e | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v2/proto/services/campaign_criterion_service_pb2.py | jiulongw/google-ads-python | 6f5256eb1eeb5a9a95c8cdb9b97988d3a676282e | [
"Apache-2.0"
] | 1 | 2020-03-13T00:14:31.000Z | 2020-03-13T00:14:31.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads_v2/proto/services/campaign_criterion_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.pr... | 48.787654 | 2,321 | 0.78673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,799 | 0.445316 |
42cd0e4c33a465776d2f55cc4beb83f4edfc71a6 | 4,568 | py | Python | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | from network import WLAN
import urequests as requests # from ubidots tutorial https://help.ubidots.com/en/articles/961994-connect-any-pycom-board-to-ubidots-using-wi-fi-over-http
from machine import I2C
import adafruit_sgp30 # from https://github.com/alexmrqt/micropython-sgp30
from machine import Pin
from dht import DH... | 31.722222 | 153 | 0.668345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,713 | 0.375 |
42cd2ea8378c0d8edecc4b1ef21bb286fd030c27 | 5,278 | py | Python | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | 1 | 2021-09-04T10:27:30.000Z | 2021-09-04T10:27:30.000Z | # coding:UTF-8
import queue
import serial
import time
import threading
ACCData = [0.0] * 8
GYROData = [0.0] * 8
AngleData = [0.0] * 8
FrameState = 0 # 通过0x后面的值判断属于哪一种情况
Bytenum = 0 # 读取到这一段的第几位
CheckSum = 0 # 求和校验位
a = [0.0] * 3
w = [0.0] * 3
Angle = [0.0] * 3
count=0
start_time = time.time()
interval=0.01
def ... | 26.656566 | 122 | 0.48939 | 586 | 0.103205 | 0 | 0 | 0 | 0 | 0 | 0 | 938 | 0.165199 |
42cdb0ad159342fdea9a675f50b583e29f8c7d2a | 3,082 | py | Python | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | import os
import unittest
from torchtext.data import Field, Iterator
from project.utils.utils_metrics import AverageMeter
from project.utils.utils_logging import Logger
from project.utils.datasets import Seq2SeqDataset
data_dir = os.path.join(".", "test", "test_data")
class TestIOUtils(unittest.TestCase):
def ... | 36.690476 | 110 | 0.621999 | 2,809 | 0.911421 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.082738 |
42d1b2020952de616b4d4ac7d2ca23c0bbc1bae9 | 144 | py | Python | tests/test_sass-director.py | Sass-Director/Sass-Director_Sublime | 57dff551213b4884c603cb69700fa2583f646202 | [
"MIT"
] | 4 | 2015-07-08T14:25:24.000Z | 2021-01-20T22:11:09.000Z | tests/test_sass-director.py | Sass-Director/Sass-Director_Sublime | 57dff551213b4884c603cb69700fa2583f646202 | [
"MIT"
] | 4 | 2015-06-16T19:48:59.000Z | 2020-06-23T17:17:38.000Z | tests/test_sass-director.py | Sass-Director/Sass-Director_Sublime | 57dff551213b4884c603cb69700fa2583f646202 | [
"MIT"
] | 2 | 2015-01-24T17:38:48.000Z | 2017-04-18T13:23:46.000Z | # Load in test framework
from sublime_plugin_tests import framework
class TestExample(framework.TestCase):
def sampleTest():
pass
| 18 | 42 | 0.75 | 73 | 0.506944 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.166667 |
42d1f1c104a654530b6968dd6b6bff5cdf01c509 | 2,156 | py | Python | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 5 | 2021-09-07T13:33:45.000Z | 2022-02-12T18:56:45.000Z | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | null | null | null | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 4 | 2021-09-25T06:56:38.000Z | 2022-03-24T18:06:08.000Z | import torch
import torch.nn as nn
import numpy as np
class Net(nn.Module):
def __init__(self, num_classes=10):
super().__init__()
self.conv1 = nn.Conv2d(3, 32, kernel_size=3, padding=1)
s = compute_conv_output_size(32, 3, padding=1) # 32
self.conv2 = nn.Conv2d(32, 32, kernel_siz... | 35.933333 | 101 | 0.574212 | 1,913 | 0.887291 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.027829 |
42d24e6e9b4725307355ace50aeaa70550864c9b | 82 | py | Python | pypi_generation_files/build/lib/cab-dynamic-pricing/__init__.py | nayantaramohan/cab-dynamic-pricing | 803cfaf9d1ef1d8d20e90dfdfd741b1411750328 | [
"MIT"
] | 5 | 2022-03-08T02:06:16.000Z | 2022-03-17T22:04:30.000Z | pypi_generation_files/build/lib/cab-dynamic-pricing/__init__.py | nayantaramohan/cab-dynamic-pricing | 803cfaf9d1ef1d8d20e90dfdfd741b1411750328 | [
"MIT"
] | null | null | null | pypi_generation_files/build/lib/cab-dynamic-pricing/__init__.py | nayantaramohan/cab-dynamic-pricing | 803cfaf9d1ef1d8d20e90dfdfd741b1411750328 | [
"MIT"
] | 1 | 2022-03-01T02:55:45.000Z | 2022-03-01T02:55:45.000Z | # __init__.py
# Version of the cab-dynamic-pricing package
__version__ = "1.0.0"
| 16.4 | 44 | 0.731707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.780488 |
42d4aca626e7056c3cd312d444ec2606808efc07 | 1,207 | py | Python | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
654. Maximum Binary Tree
Given an integer array with no duplicates. A maximum tree building on this array is defined as follow:
The root is the maximum number in the array.
The left subtree is the maximum tree constructed from left part subarray divided by the maximum number.
The right sub... | 30.948718 | 105 | 0.666114 | 662 | 0.548467 | 0 | 0 | 0 | 0 | 0 | 0 | 536 | 0.444076 |
42d54535865b205f51d1935bf40792c7ce95c829 | 5,189 | py | Python | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 44 | 2015-11-18T07:45:11.000Z | 2022-03-30T06:32:18.000Z | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 110 | 2016-08-01T06:45:13.000Z | 2021-11-30T18:45:36.000Z | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 32 | 2015-01-31T09:54:38.000Z | 2022-03-31T06:12:21.000Z | import asyncio
import traceback
from configuration_manager import ConfigurationManager
from data_parser import *
parse_map = {
0: ProtocolRequest,
1: ProtocolResponse,
2: ServerDisconnect,
3: ConnectSuccess,
4: ConnectFailure,
5: HandshakeChallenge,
6: ChatReceived,
7: None,
8: Non... | 27.167539 | 79 | 0.578724 | 3,386 | 0.652534 | 2,028 | 0.390827 | 2,765 | 0.532858 | 0 | 0 | 1,795 | 0.345924 |
42d61bf690c775be557f3dd6decdfb665b54a7c4 | 4,224 | py | Python | template_capture_performance.py | Dino-s26/f5_web_gui_capture | 5dd00d6d84e9dd7c79f90446133c99190cbee1b0 | [
"MIT"
] | null | null | null | template_capture_performance.py | Dino-s26/f5_web_gui_capture | 5dd00d6d84e9dd7c79f90446133c99190cbee1b0 | [
"MIT"
] | null | null | null | template_capture_performance.py | Dino-s26/f5_web_gui_capture | 5dd00d6d84e9dd7c79f90446133c99190cbee1b0 | [
"MIT"
] | null | null | null | # Import Selenium Module
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Import Path
from pathlib import Path
# Import Base Module for Code
import os
import datetime
#... | 39.111111 | 149 | 0.766335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,810 | 0.428504 |
42d72c0c58e56c65e8f873c5b25c452eaaf9e7cc | 3,032 | py | Python | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | import sys
import os
import mxnet as mx
import argparse
sys.path.append(os.path.join(os.getcwd(), "../src/common"))
sys.path.append(os.path.join(os.getcwd(), "../src/eval"))
import verification
def argParser():
parser = argparse.ArgumentParser(description='test network')
parser.add_argument('--model', default=... | 41.534247 | 125 | 0.632256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,244 | 0.41029 |
42dc77f7900d79cb250ea17552132e0f738917bd | 4,482 | py | Python | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | 1 | 2022-01-19T01:40:04.000Z | 2022-01-19T01:40:04.000Z | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | null | null | null | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Chris Caron <lead2gold@gmail.com>
# All rights reserved.
#
# This code is licensed under the MIT License.
#
# 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 th... | 37.663866 | 79 | 0.629407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,991 | 0.667336 |
42dc9cb1aa466dc4d81d1303416d9c0741104c68 | 2,751 | py | Python | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import argparse
import textwrap
import math
from PIL import Image
parser = argparse.ArgumentParser(
prog='img_striper.py',
formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent('''\
Image striper
This is a simple program to make stripes ... | 25.472222 | 67 | 0.607779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 940 | 0.341694 |
42dcb97d77131e74ecfe71c62c27b3b22cca853a | 7,590 | py | Python | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | null | null | null | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | 1 | 2019-05-03T07:54:57.000Z | 2019-05-03T07:54:57.000Z | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | null | null | null | import datetime
from aiohttp import web
from aiohttp_jinja2 import template
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql as pg
import psycopg2
from ds import db
from . import forms
@template('index.jinja2')
async def index(request):
return {}
@template('profile_list.jinja2')
async def pr... | 35.633803 | 113 | 0.548221 | 0 | 0 | 0 | 0 | 4,280 | 0.5639 | 7,037 | 0.927141 | 625 | 0.082345 |
42dd96f3e39ccca7beaece3559fe4cb2d0d639e4 | 488 | py | Python | django_fastapi/api/migrations/0008_test1.py | ehddn5252/FastAPI_Django | a179aedb62c28d1700578882e681002a61576060 | [
"MIT"
] | null | null | null | django_fastapi/api/migrations/0008_test1.py | ehddn5252/FastAPI_Django | a179aedb62c28d1700578882e681002a61576060 | [
"MIT"
] | null | null | null | django_fastapi/api/migrations/0008_test1.py | ehddn5252/FastAPI_Django | a179aedb62c28d1700578882e681002a61576060 | [
"MIT"
] | 1 | 2021-11-26T08:22:57.000Z | 2021-11-26T08:22:57.000Z | # Generated by Django 3.2.9 on 2021-11-19 15:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0007_alter_login_owner'),
]
operations = [
migrations.CreateModel(
name='Test1',
fields=[
('t... | 23.238095 | 94 | 0.567623 | 395 | 0.809426 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.19877 |
42ddb2012f057cfc1204b7ac846fc3824c272f11 | 47,110 | py | Python | tb_paddle/proto/api_pb2.py | GT-AcerZhang/tb-paddle | a129520339f4d4e7a9bed05feb733f2565673960 | [
"MIT"
] | null | null | null | tb_paddle/proto/api_pb2.py | GT-AcerZhang/tb-paddle | a129520339f4d4e7a9bed05feb733f2565673960 | [
"MIT"
] | null | null | null | tb_paddle/proto/api_pb2.py | GT-AcerZhang/tb-paddle | a129520339f4d4e7a9bed05feb733f2565673960 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tb_paddle/proto/api.proto
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _... | 41.912811 | 4,591 | 0.751221 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11,929 | 0.253216 |
42e0044ddc8db8684b032fa92b309e589628c115 | 6,123 | py | Python | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | 1 | 2021-02-19T01:45:49.000Z | 2021-02-19T01:45:49.000Z | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | null | null | null | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | 2 | 2016-04-10T21:28:05.000Z | 2019-09-20T19:51:37.000Z | import six
import json
import logging
import requests
from requests_oauthlib import OAuth1
if six.PY3:
from urllib.parse import parse_qs
from urllib.parse import urlencode
else:
from urlparse import parse_qs
from urllib import urlencode
log = logging.getLogger(__name__)
class EtsyError(Exception):
... | 36.230769 | 112 | 0.594806 | 5,830 | 0.952148 | 760 | 0.124122 | 0 | 0 | 0 | 0 | 1,968 | 0.321411 |
42e109eb76a25424069247c9b529582b0044ded2 | 2,996 | py | Python | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | 2 | 2021-10-05T10:04:56.000Z | 2021-10-13T18:31:35.000Z | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | 14 | 2021-09-01T12:30:59.000Z | 2022-02-14T18:53:44.000Z | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | null | null | null | import datetime
import os
import re
import sys
import urllib
from SatTrack.superclasses import FileDirectory
###############################################################################
# CONSTANTS
TLE_URL = f"https://celestrak.com/NORAD/elements/supplemental"
######################################################... | 32.215054 | 79 | 0.496996 | 2,649 | 0.884179 | 0 | 0 | 0 | 0 | 0 | 0 | 1,792 | 0.598131 |
42e13e620ce8965d49cd0e6e2ae37165c0735674 | 21,970 | py | Python | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 13 | 2021-09-21T11:07:33.000Z | 2022-03-25T08:46:46.000Z | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 2 | 2021-09-25T15:45:19.000Z | 2021-12-10T15:57:35.000Z | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 2 | 2021-09-27T01:21:49.000Z | 2021-09-28T06:08:19.000Z | import os
import h5py
import torch
import torch.nn as nn
from torch.utils.data import Dataset, IterableDataset, DataLoader
import Levenshtein as levenshtein
from tqdm import tqdm
from yaml import YAMLObject
from transformers import AutoTokenizer, AutoModel
from allennlp.modules.elmo import batch_to_ids
from utils im... | 40.238095 | 188 | 0.697679 | 21,318 | 0.970323 | 3,063 | 0.139417 | 1,312 | 0.059718 | 0 | 0 | 5,353 | 0.24365 |
42e5f4e73286a21248ce1ddfed9d74e5f150cd54 | 7,012 | py | Python | accelbyte_py_sdk/api/basic/models/a_dto_object_for_equ8_user_status.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | accelbyte_py_sdk/api/basic/models/a_dto_object_for_equ8_user_status.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | 1 | 2021-10-13T03:46:58.000Z | 2021-10-13T03:46:58.000Z | accelbyte_py_sdk/api/basic/models/a_dto_object_for_equ8_user_status.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template file: justice_py_sdk_codegen/__main__.py
# justice-basic-service (1.36.3)
# pylint: disable=d... | 35.06 | 202 | 0.592698 | 6,088 | 0.868226 | 0 | 0 | 3,426 | 0.488591 | 0 | 0 | 1,761 | 0.251141 |
42e6a0854dc4ea36c5a33692e83aa3d38c0f49cc | 2,505 | py | Python | function/python/brightics/function/statistics/test/correlation_test.py | parkjh80/studio | 6d8d8384272e5e1b2838b12e5557272a19408e89 | [
"Apache-2.0"
] | 202 | 2018-10-23T04:37:35.000Z | 2022-01-27T05:51:10.000Z | function/python/brightics/function/statistics/test/correlation_test.py | data-weirdo/studio | 48852c4f097f773ce3d408b59f79fda2e2d60470 | [
"Apache-2.0"
] | 444 | 2018-11-07T08:41:14.000Z | 2022-03-16T06:48:57.000Z | function/python/brightics/function/statistics/test/correlation_test.py | data-weirdo/studio | 48852c4f097f773ce3d408b59f79fda2e2d60470 | [
"Apache-2.0"
] | 99 | 2018-11-08T04:12:13.000Z | 2022-03-30T05:36:27.000Z | """
Copyright 2019 Samsung SDS
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 ... | 41.065574 | 155 | 0.683433 | 1,470 | 0.586826 | 0 | 0 | 0 | 0 | 0 | 0 | 899 | 0.358882 |
42e77bb6f8a615aa18b12b83385ee014877a332f | 340 | py | Python | fdp/__init__.py | cffbots/fairdatapoint | 6142b31408b5746d1a7e9f59e61735b7ad8bfde9 | [
"Apache-2.0"
] | 9 | 2020-03-27T12:58:51.000Z | 2021-01-21T16:22:46.000Z | fdp/__init__.py | MaastrichtU-IDS/fairdatapoint | f9f38903a629acbdb74a6a20014ac424cc3d3206 | [
"Apache-2.0"
] | 26 | 2016-05-26T22:22:34.000Z | 2020-02-13T07:12:37.000Z | fdp/__init__.py | MaastrichtU-IDS/fairdatapoint | f9f38903a629acbdb74a6a20014ac424cc3d3206 | [
"Apache-2.0"
] | 4 | 2020-06-09T18:37:33.000Z | 2020-12-16T08:05:01.000Z | # -*- coding: utf-8 -*-
import logging
from .__version__ import __version__
logging.getLogger(__name__).addHandler(logging.NullHandler())
__author__ = "Rajaram Kaliyaperumal, Arnold Kuzniar, Cunliang Geng, Carlos Martinez-Ortiz"
__email__ = 'c.martinez@esciencecenter.nl'
__status__ = 'beta'
__license__ = 'Apache Li... | 26.153846 | 90 | 0.770588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.485294 |
42e78c22b92189ac4df049c1a2d85684f40079f9 | 358 | py | Python | my_site/blog/admin.py | sidharth-lucy/Blog | 33afd31faf5a1da44e050b13e3364b419f108c7f | [
"MIT"
] | null | null | null | my_site/blog/admin.py | sidharth-lucy/Blog | 33afd31faf5a1da44e050b13e3364b419f108c7f | [
"MIT"
] | null | null | null | my_site/blog/admin.py | sidharth-lucy/Blog | 33afd31faf5a1da44e050b13e3364b419f108c7f | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Post,Author,Tag
# Register your models here.
class PostAdmin(admin.ModelAdmin):
list_display=('title','date','author')
list_filter=('author','tags','date')
prepopulated_fields={'slug':('title',)}
admin.site.register(Post,PostAdmin)
admin.site.regi... | 23.866667 | 43 | 0.72905 | 167 | 0.46648 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.22905 |
42e887c8fdf1e23d81a9463a69d52200b7a5826e | 67 | py | Python | pyrallest/__init__.py | ivancrneto/pyrallest | 158780c418ae276935fb155e82b18db242cd98e5 | [
"MIT"
] | null | null | null | pyrallest/__init__.py | ivancrneto/pyrallest | 158780c418ae276935fb155e82b18db242cd98e5 | [
"MIT"
] | null | null | null | pyrallest/__init__.py | ivancrneto/pyrallest | 158780c418ae276935fb155e82b18db242cd98e5 | [
"MIT"
] | null | null | null |
def main():
print('This is the very beginning of pyrallest')
| 13.4 | 52 | 0.671642 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.61194 |
42e8e15830841aa965ec225fd7e1715fe1c14fdd | 60,795 | py | Python | fluids/flow_meter.py | rddaz2013/fluids | acde6a6edc2110c152c59341574739b24a2f1bad | [
"MIT"
] | null | null | null | fluids/flow_meter.py | rddaz2013/fluids | acde6a6edc2110c152c59341574739b24a2f1bad | [
"MIT"
] | null | null | null | fluids/flow_meter.py | rddaz2013/fluids | acde6a6edc2110c152c59341574739b24a2f1bad | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2018 Caleb Bell <Caleb.Andrew.Bell@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
... | 35.407688 | 108 | 0.607385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45,821 | 0.753697 |
42ead0688f656228fb0df39a2d45d3c1dd001507 | 532 | py | Python | iaso/migrations/0115_auto_20220124_1120.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | null | null | null | iaso/migrations/0115_auto_20220124_1120.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | null | null | null | iaso/migrations/0115_auto_20220124_1120.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | 1 | 2022-03-23T16:44:12.000Z | 2022-03-23T16:44:12.000Z | # Generated by Django 3.1.14 on 2022-01-24 11:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("iaso", "0114_auto_20220117_1609"),
]
operations = [
migrations.RenameField(
model_name="entity",
old_name="instance... | 22.166667 | 58 | 0.565789 | 438 | 0.823308 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.231203 |
42eb0db02ed2cdde4c36688526176ef0796f32f2 | 1,370 | py | Python | git_plan/cli/commands/delete.py | synek/git-plan | 4cf5429348a71fb5ea8110272fb89d20bfa38c38 | [
"MIT"
] | 163 | 2021-03-06T12:01:06.000Z | 2022-03-01T22:52:36.000Z | git_plan/cli/commands/delete.py | synek/git-plan | 4cf5429348a71fb5ea8110272fb89d20bfa38c38 | [
"MIT"
] | 61 | 2021-03-06T07:00:39.000Z | 2021-04-13T10:25:58.000Z | git_plan/cli/commands/delete.py | synek/git-plan | 4cf5429348a71fb5ea8110272fb89d20bfa38c38 | [
"MIT"
] | 9 | 2021-03-07T17:52:57.000Z | 2021-10-18T21:35:23.000Z | """Delete command
Author: Rory Byrne <rory@rory.bio>
"""
from typing import Any
from git_plan.cli.commands.command import Command
from git_plan.service.plan import PlanService
from git_plan.util.decorators import requires_initialized, requires_git_repository
@requires_initialized
@requires_git_repository
class Dele... | 31.136364 | 92 | 0.687591 | 1,059 | 0.772993 | 0 | 0 | 1,106 | 0.807299 | 0 | 0 | 331 | 0.241606 |
42ebcdfbf6dd3a3f1a79b5af4ed661e3aa7d93c1 | 347 | py | Python | newspaper2/newspaper2/news/admin.py | luisfer85/newspaper2 | 8522bc29e5597113af9f9714e510548057e19315 | [
"Apache-2.0"
] | null | null | null | newspaper2/newspaper2/news/admin.py | luisfer85/newspaper2 | 8522bc29e5597113af9f9714e510548057e19315 | [
"Apache-2.0"
] | null | null | null | newspaper2/newspaper2/news/admin.py | luisfer85/newspaper2 | 8522bc29e5597113af9f9714e510548057e19315 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from newspaper2.news.models import News, Event
class NewsAdmin(admin.ModelAdmin):
list_display = ('title', 'publish_date')
list_filter = ('publish_date',)
search_fields = ['title']
class EventAdmin(admin.ModelAdmin):
pass
admin.site.register(News, NewsAdmin)
admin.site.... | 23.133333 | 46 | 0.752161 | 186 | 0.536023 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.121037 |
42ef38196b7af8975b40694b6eb1954f2a48845e | 1,926 | py | Python | vision_module.py | seongdong2/GRADUATION | c38b13a2dd82a58bdba7673916408daa0d9b471e | [
"Unlicense"
] | 2 | 2021-09-19T13:52:05.000Z | 2021-10-04T01:09:21.000Z | vision_module.py | seongdong2/graduation | c38b13a2dd82a58bdba7673916408daa0d9b471e | [
"Unlicense"
] | 1 | 2021-10-14T06:19:44.000Z | 2021-10-14T06:19:44.000Z | vision_module.py | seongdong2/graduation | c38b13a2dd82a58bdba7673916408daa0d9b471e | [
"Unlicense"
] | null | null | null | import numpy as np
import cv2
CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
"bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
"dog", "horse", "motorbike", "person", "pottedplant", "sheep",
"sofa", "train", "tvmonitor"]
net = cv2.dnn.readNetFromCaffe(
... | 30.571429 | 106 | 0.555556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 246 | 0.127726 |
42efd3e55b344db382180d65f36b45d066baab96 | 618 | py | Python | riccipy/metrics/lewis_papapetrou.py | cjayross/riccipy | 2cc0ca5e1aa4af91b203b3ff2bb1effd7d2f4846 | [
"MIT"
] | 4 | 2019-08-17T04:28:06.000Z | 2021-01-02T15:19:18.000Z | riccipy/metrics/lewis_papapetrou.py | grdbii/riccipy | 2cc0ca5e1aa4af91b203b3ff2bb1effd7d2f4846 | [
"MIT"
] | 3 | 2019-08-02T04:07:43.000Z | 2020-06-18T07:49:38.000Z | riccipy/metrics/lewis_papapetrou.py | grdbii/riccipy | 2cc0ca5e1aa4af91b203b3ff2bb1effd7d2f4846 | [
"MIT"
] | null | null | null | """
Name: Lewis Papapetrou
References: Ernst, Phys. Rev., v167, p1175, (1968)
Coordinates: Cartesian
"""
from sympy import Function, Rational, exp, symbols, zeros
coords = symbols("t x y z", real=True)
variables = ()
functions = symbols("k r s w", cls=Function)
t, x, y, z = coords
k, r, s, w = functions
metric = zeros... | 30.9 | 77 | 0.553398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.197411 |
42efdd1edf57c5e0230ae9edaa82d469b2ef9074 | 2,591 | py | Python | product/admin.py | NarminSH/e-commerce-sellshop-project | a753038c8265473021e21f75b6b095bdc25f43d6 | [
"MIT"
] | null | null | null | product/admin.py | NarminSH/e-commerce-sellshop-project | a753038c8265473021e21f75b6b095bdc25f43d6 | [
"MIT"
] | null | null | null | product/admin.py | NarminSH/e-commerce-sellshop-project | a753038c8265473021e21f75b6b095bdc25f43d6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from modeltranslation.admin import TranslationAdmin
from product.models import (Category, Discount, Review, Product, Properity, ProperityOption,
Image, ShoppingCart, Tag,Wishlist,Color)
class ReviewAdmin(admin.ModelAdmin):
list_display = ('name', 'product', 'creat... | 31.987654 | 93 | 0.703589 | 1,998 | 0.771131 | 0 | 0 | 1,712 | 0.660749 | 0 | 0 | 870 | 0.335778 |
42eff7b73d4d9e9bde660bd60b5a65140cceb73c | 3,009 | py | Python | aikatsu_ranking.py | yokky21/aikatsu-ranking | 10d8e4d827414120e721640d42874c26f25c4811 | [
"MIT"
] | null | null | null | aikatsu_ranking.py | yokky21/aikatsu-ranking | 10d8e4d827414120e721640d42874c26f25c4811 | [
"MIT"
] | null | null | null | aikatsu_ranking.py | yokky21/aikatsu-ranking | 10d8e4d827414120e721640d42874c26f25c4811 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.6
# vim: ts=4 sw=4
import requests, lxml.html, json, sys, os, configparser, re
from datetime import datetime
from mastodon import *
## Initializing
host = 'https://bpnavi.jp'
ua = 'Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko... | 33.065934 | 154 | 0.599535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 884 | 0.292231 |
42f0f632b463ffb1c555335ca23b1393342b2700 | 1,091 | py | Python | L11-LP-farm-example.py | jdherman/eci273 | 86828b2e075258afdd528e86295170e162cc99e3 | [
"MIT"
] | 10 | 2018-12-23T02:59:06.000Z | 2021-12-07T11:55:21.000Z | L11-LP-farm-example.py | jdherman/eci273 | 86828b2e075258afdd528e86295170e162cc99e3 | [
"MIT"
] | null | null | null | L11-LP-farm-example.py | jdherman/eci273 | 86828b2e075258afdd528e86295170e162cc99e3 | [
"MIT"
] | 7 | 2018-12-21T02:06:51.000Z | 2021-12-11T02:36:47.000Z | import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
# Lecture 11 2-user water allocation example
# First approach: scipy.optimize.linprog
# need matrix form: minimize c^T * x, subject to Ax <= b
c = [-5, -3] # negative to maximize
A = [[10,5], [1,1.5], [2,2], [-1,0], [0,-1]]
b = [20, 3, 4.5... | 23.717391 | 78 | 0.582035 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 843 | 0.772686 |
42f12d3200ce4d7e07aaba09b537e0ff03fb831a | 1,471 | py | Python | prev_ob_models/exclude/GilraBhalla2015/synapses/synapseConstantsMinimal.py | fameshpatel/olfactorybulb | 8d7a644b4560309ef177c0590ff73ed4c2432604 | [
"MIT"
] | null | null | null | prev_ob_models/exclude/GilraBhalla2015/synapses/synapseConstantsMinimal.py | fameshpatel/olfactorybulb | 8d7a644b4560309ef177c0590ff73ed4c2432604 | [
"MIT"
] | null | null | null | prev_ob_models/exclude/GilraBhalla2015/synapses/synapseConstantsMinimal.py | fameshpatel/olfactorybulb | 8d7a644b4560309ef177c0590ff73ed4c2432604 | [
"MIT"
] | null | null | null | ## This file used to be programmatically generated for converging to best fit Activity Dependent Inhibition curve.
## But that doesn't give decent result, so set by hand.
import sys
sys.path.extend(["../networks"])
## do not import networkConstants as that imports this file, and it's circular then!!!
from networkConst... | 54.481481 | 114 | 0.755948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,153 | 0.783821 |
42f674ee12a896bdc6fefab4b830b689f09ef5e4 | 499 | py | Python | agoge/__init__.py | Nintorac/agoge | 0abe66e41e4fcd865854cc009374e2a52ef5671c | [
"MIT"
] | null | null | null | agoge/__init__.py | Nintorac/agoge | 0abe66e41e4fcd865854cc009374e2a52ef5671c | [
"MIT"
] | null | null | null | agoge/__init__.py | Nintorac/agoge | 0abe66e41e4fcd865854cc009374e2a52ef5671c | [
"MIT"
] | null | null | null | from .utils import defaults_f
DEFAULTS = defaults_f({
'ARTIFACTS_ROOT': '~/agoge/artifacts',
'TQDM_DISABLED': False,
'TRIAL_ROOT': 'Worker',
'BUCKET': 'nintorac_model_serving',
'BASE_URL': 'https://github.com/Nintorac/NeuralDX7-weights/raw/master'
})
from .data_handler import DataHandler
from .mod... | 31.1875 | 74 | 0.771543 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.340681 |
42f8e8791025cfd39e8878d6744a088d9902c8a3 | 1,206 | py | Python | test/variable_type.py | bourne7/demo-python | 0c4dd12475bcada4e5826b7117bd4c4bdcedfd9f | [
"MIT"
] | null | null | null | test/variable_type.py | bourne7/demo-python | 0c4dd12475bcada4e5826b7117bd4c4bdcedfd9f | [
"MIT"
] | null | null | null | test/variable_type.py | bourne7/demo-python | 0c4dd12475bcada4e5826b7117bd4c4bdcedfd9f | [
"MIT"
] | null | null | null | def do_loop():
print('Being Invoked.')
# * 表示参数为 元组
def fun1(*args): # 相当于 def fun1(1,2,3) ==> args 就相当于（1,2,3）
for a in args:
print(a)
# ** 表示参数为 字典
def fun2(**args): # 相当于 def fun2({a:1,b:2,c:3}) ==>args 就相当于{a:1,b:2,c:3}
for k, v in args:
print(k, ":", v)
# Python3 的六个标准数据类型
def... | 19.451613 | 74 | 0.543118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 0.449164 |
42f979541235624972aa7beb6b4040036e613c33 | 951 | py | Python | scrapystsytem/spiders/doubanmoviespider.py | mezhou887/ScrapySystem2017 | 888ac42bba36b541845244596db1644e332bf291 | [
"Apache-2.0"
] | null | null | null | scrapystsytem/spiders/doubanmoviespider.py | mezhou887/ScrapySystem2017 | 888ac42bba36b541845244596db1644e332bf291 | [
"Apache-2.0"
] | null | null | null | scrapystsytem/spiders/doubanmoviespider.py | mezhou887/ScrapySystem2017 | 888ac42bba36b541845244596db1644e332bf291 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from scrapystsytem.misc.commonspider import CommonSpider
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor as sle
logger = logging.getLogger(__name__)
class DoubanMovieSpider(CommonSpider):
name = "doubanmovie"
allowed_domains = ["douban... | 31.7 | 89 | 0.648791 | 725 | 0.762355 | 0 | 0 | 0 | 0 | 0 | 0 | 296 | 0.311251 |
42faa478c98edc7e43520c1e76c93b612e769679 | 560 | py | Python | hurricane/base.py | ericflo/hurricane | c192b711b2b1c06a386d1a1a47f538b13a659cde | [
"BSD-3-Clause"
] | 8 | 2015-02-21T17:59:41.000Z | 2021-01-07T20:57:39.000Z | hurricane/base.py | ericflo/hurricane | c192b711b2b1c06a386d1a1a47f538b13a659cde | [
"BSD-3-Clause"
] | null | null | null | hurricane/base.py | ericflo/hurricane | c192b711b2b1c06a386d1a1a47f538b13a659cde | [
"BSD-3-Clause"
] | 2 | 2016-07-09T16:06:23.000Z | 2016-08-02T18:44:20.000Z | import uuid
class Message(object):
def __init__(self, kind, timestamp, raw_data):
self.kind = kind
self.timestamp = timestamp
self.raw_data = raw_data
self.uuid = str(uuid.uuid4())
def _asdict(self):
return {
'kind': self.kind,
'timestamp': self... | 23.333333 | 59 | 0.542857 | 545 | 0.973214 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.075 |
42fb56f78da3eca5f6dfd2e9de1258342401faa4 | 469 | py | Python | nbexchange/handlers/__init__.py | jgwerner/nbexchange | 510aa8fdff04b0873cec5dd75d3dfb0eac820c1b | [
"BSD-3-Clause"
] | 7 | 2020-04-30T20:16:18.000Z | 2021-09-11T20:31:51.000Z | nbexchange/handlers/__init__.py | jgwerner/nbexchange | 510aa8fdff04b0873cec5dd75d3dfb0eac820c1b | [
"BSD-3-Clause"
] | 86 | 2020-03-06T15:34:55.000Z | 2022-03-07T11:58:06.000Z | nbexchange/handlers/__init__.py | jgwerner/nbexchange | 510aa8fdff04b0873cec5dd75d3dfb0eac820c1b | [
"BSD-3-Clause"
] | 1 | 2020-07-25T23:04:51.000Z | 2020-07-25T23:04:51.000Z | from nbexchange.handlers.assignment import Assignment, Assignments
from nbexchange.handlers.collection import Collection, Collections
from nbexchange.handlers.feedback import FeedbackHandler
from nbexchange.handlers.pages import HomeHandler
from nbexchange.handlers.submission import Submission, Submissions
default_han... | 27.588235 | 66 | 0.803838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
42fe26b4d9e2cf96a145d2ebd3a33d07d37ab54e | 2,476 | py | Python | 09/09b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | 1 | 2021-12-01T17:43:38.000Z | 2021-12-01T17:43:38.000Z | 09/09b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | null | null | null | 09/09b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | null | null | null | #!/bin/env python3
import operator
from _operator import attrgetter, itemgetter
from collections import defaultdict, Counter
from functools import reduce, partial
from itertools import chain
from aocd import get_data
EMPTY = type('EMPTY', (int,), dict(__repr__=(f := lambda s: 'EMPTY'), __str__=f))(10)
def windowed(... | 26.340426 | 91 | 0.560582 | 0 | 0 | 1,007 | 0.406704 | 0 | 0 | 0 | 0 | 180 | 0.072698 |
42ff0390633d326bb027aa10d5b16efa20802940 | 1,343 | py | Python | tests/test_window.py | yogeshkumarpilli/detectron2 | f4f276dc8239b2c5a1bbbf6ed234acd25c75a522 | [
"Apache-2.0"
] | null | null | null | tests/test_window.py | yogeshkumarpilli/detectron2 | f4f276dc8239b2c5a1bbbf6ed234acd25c75a522 | [
"Apache-2.0"
] | null | null | null | tests/test_window.py | yogeshkumarpilli/detectron2 | f4f276dc8239b2c5a1bbbf6ed234acd25c75a522 | [
"Apache-2.0"
] | 3 | 2021-12-17T04:28:02.000Z | 2022-02-22T18:18:03.000Z | from detectron2.engine import DefaultPredictor
from detectron2.data import MetadataCatalog
from detectron2.config import get_cfg
from detectron2.utils.visualizer import ColorMode, Visualizer
from detectron2 import model_zoo
import cv2
import numpy as np
import requests
# Load an image
res = requests.get("h... | 37.305556 | 191 | 0.737156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 332 | 0.247208 |
42ff644535c1107deafd0fab424dd9161db0897b | 9,920 | py | Python | hydra/cli.py | albertoa/hydra | 8161e75829e4e76cb91ce516bbf03c258a87ce9e | [
"Apache-2.0"
] | 28 | 2020-11-05T16:04:51.000Z | 2021-02-16T22:58:10.000Z | hydra/cli.py | albertoa/hydra | 8161e75829e4e76cb91ce516bbf03c258a87ce9e | [
"Apache-2.0"
] | 43 | 2020-11-06T19:21:39.000Z | 2021-02-25T19:04:42.000Z | hydra/cli.py | albertoa/hydra | 8161e75829e4e76cb91ce516bbf03c258a87ce9e | [
"Apache-2.0"
] | 4 | 2020-11-06T08:54:57.000Z | 2021-01-18T03:26:00.000Z | import os
import yaml
import json
import click
import hydra.utils.constants as const
from hydra.utils.git import check_repo
from hydra.utils.utils import dict_to_string, inflate_options
from hydra.cloud.local_platform import LocalPlatform
from hydra.cloud.fast_local_platform import FastLocalPlatform
from hydra.cloud.go... | 44.684685 | 200 | 0.674698 | 0 | 0 | 0 | 0 | 9,460 | 0.953629 | 0 | 0 | 1,950 | 0.196573 |
6e001fac10af046d03ee8754375ce8c560a47171 | 773 | py | Python | _estudoPython_solid/requests/request.py | carlos-freitas-gitHub/Python_Analise_De_Dados | 74a72772179f45684f4f12acd4ad607c99ed8107 | [
"Apache-2.0"
] | null | null | null | _estudoPython_solid/requests/request.py | carlos-freitas-gitHub/Python_Analise_De_Dados | 74a72772179f45684f4f12acd4ad607c99ed8107 | [
"Apache-2.0"
] | null | null | null | _estudoPython_solid/requests/request.py | carlos-freitas-gitHub/Python_Analise_De_Dados | 74a72772179f45684f4f12acd4ad607c99ed8107 | [
"Apache-2.0"
] | null | null | null | '''requests
biblioteca beaultiful solp para páginas web.
'''
from builtins import print
import requests
'''compartilhando o cabeçario http, vem junto com requesição
cabecalho = {'User-agent': 'Windows 12',
'Referer': 'https://google.com.br'}
meus_cookies = {'Ultima-visita': '10-10-2020'}
meus_... | 28.62963 | 67 | 0.641656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 513 | 0.660232 |
6e01596134dc9f1610c5e8f76e5d30c43961114c | 23,738 | py | Python | Tac Tac Toe/ttt_mobile_1080p.py | promitbasak/TicTacToe-Pygame | 6114cee9498d70942f48a0b6eb360f02bcf72df0 | [
"MIT"
] | 3 | 2020-06-15T13:50:51.000Z | 2021-08-18T05:10:17.000Z | Tac Tac Toe/ttt_mobile_1080p.py | promitbasak/TicTacToe-Pygame | 6114cee9498d70942f48a0b6eb360f02bcf72df0 | [
"MIT"
] | null | null | null | Tac Tac Toe/ttt_mobile_1080p.py | promitbasak/TicTacToe-Pygame | 6114cee9498d70942f48a0b6eb360f02bcf72df0 | [
"MIT"
] | 1 | 2020-06-15T13:52:49.000Z | 2020-06-15T13:52:49.000Z | import pygame
import random
import sys
Xfactor = 1.35
Yfactor = 3.2
CELLS = 9
PLAYERS = 2
CORNERS = [1, 3, 7, 9]
NON_CORNERS = [2, 4, 6, 8]
board = {}
for i in range(9):
board[i + 1] = 0
signs = {0: " ", 1: "X", 2: "O"}
winner = None
boardX = 10
boardY = 464
icon = pygame.image.load("ttticon2.png"... | 32.742069 | 95 | 0.433566 | 13,373 | 0.563358 | 131 | 0.005519 | 0 | 0 | 0 | 0 | 1,349 | 0.056829 |
6e0596f60ea2aacca4a2e542940c06bbc4f394b7 | 25,458 | py | Python | utils/dataset_utils.py | Daipuwei/YOLO-tf2 | 1b2e7133c99507573f419c8a367a8dba4abeae5b | [
"MIT"
] | null | null | null | utils/dataset_utils.py | Daipuwei/YOLO-tf2 | 1b2e7133c99507573f419c8a367a8dba4abeae5b | [
"MIT"
] | null | null | null | utils/dataset_utils.py | Daipuwei/YOLO-tf2 | 1b2e7133c99507573f419c8a367a8dba4abeae5b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2021/9/18 下午11:23
# @Author : DaiPuWei
# @Email : 771830171@qq.com
# @File : dataset_utils.py
# @Software: PyCharm
"""
这是YOLO模型数据集
"""
import cv2
import numpy as np
from PIL import Image
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from utils.model_utils import... | 39.902821 | 112 | 0.439351 | 25,232 | 0.924588 | 980 | 0.035911 | 0 | 0 | 0 | 0 | 6,997 | 0.256394 |
6e080db2602e0c90c09249fc8d6eeaeabeabd005 | 750 | py | Python | caesar_cipher.py | DomirScire/Basic_Ciphers | 7425b306f8d0ce9ceb5ba3a59e73a52892bee5ca | [
"MIT"
] | 1 | 2021-03-31T23:29:00.000Z | 2021-03-31T23:29:00.000Z | caesar_cipher.py | DomirScire/Ciphers_Py | 127c82b14c9bd5595f924bc267b6bf238f654c22 | [
"MIT"
] | null | null | null | caesar_cipher.py | DomirScire/Ciphers_Py | 127c82b14c9bd5595f924bc267b6bf238f654c22 | [
"MIT"
] | null | null | null | import string
def caesar_cipher(text, shift, decrypt=False):
if not text.isascii() or not text.isalpha():
raise ValueError("Text must be ASCII and contain no numbers.")
lowercase = string.ascii_lowercase
uppercase = string.ascii_uppercase
result = ""
if decrypt:
shift = shift * -1... | 27.777778 | 70 | 0.630667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.141333 |
6e0977041deef6fa7bf74e2fadd3b0a89bcf73e3 | 6,953 | py | Python | hume/hume/app.py | megacorpincorporated/HOME | 0eb8009b028fabf64abb03acc0a081b2b8207eb0 | [
"MIT"
] | 1 | 2018-02-18T15:51:57.000Z | 2018-02-18T15:51:57.000Z | hume/hume/app.py | megacorpincorporated/HOME | 0eb8009b028fabf64abb03acc0a081b2b8207eb0 | [
"MIT"
] | null | null | null | hume/hume/app.py | megacorpincorporated/HOME | 0eb8009b028fabf64abb03acc0a081b2b8207eb0 | [
"MIT"
] | null | null | null | import json
import logging
from app.abc import StartError
from app.device import DeviceApp, DeviceMessage
from app.device.models import Device
from app.hint import HintApp
from app.hint.defs import HintMessage
from util.storage import DataStore
LOGGER = logging.getLogger(__name__)
class Hume:
def __init__(self... | 38.414365 | 78 | 0.576154 | 6,666 | 0.958723 | 0 | 0 | 0 | 0 | 0 | 0 | 2,084 | 0.299727 |
6e0c62be30176a8297c1bf84eb84e82bffd0d9ee | 3,281 | py | Python | scripts/generate_demo_requests.py | onedata/onezone-gui-plugin-ecrin | 2bf38b0994d1c0bf8148b1b8c5990bcf0aa4a62b | [
"MIT"
] | null | null | null | scripts/generate_demo_requests.py | onedata/onezone-gui-plugin-ecrin | 2bf38b0994d1c0bf8148b1b8c5990bcf0aa4a62b | [
"MIT"
] | null | null | null | scripts/generate_demo_requests.py | onedata/onezone-gui-plugin-ecrin | 2bf38b0994d1c0bf8148b1b8c5990bcf0aa4a62b | [
"MIT"
] | null | null | null | #
# Author: Michał Borzęcki
#
# This script creates empty files with study and data object metadata in
# specified space and Oneprovider. It uses JSON files located in directories
# `studies_dir` (= studies) and `data_object_dir` (= data_objects). Positional
# arguments:
# 1. Oneprovider location (IP address or domain... | 33.824742 | 102 | 0.643401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,456 | 0.443497 |
6e0cbccdccc4307ec0cd8efe2c3cb65f9c612951 | 1,925 | py | Python | backend/routes/user.py | mradzikowski/flask-trackerproductivity | 029103b80e21b6c64801816fe8dc27585317cb02 | [
"MIT"
] | null | null | null | backend/routes/user.py | mradzikowski/flask-trackerproductivity | 029103b80e21b6c64801816fe8dc27585317cb02 | [
"MIT"
] | null | null | null | backend/routes/user.py | mradzikowski/flask-trackerproductivity | 029103b80e21b6c64801816fe8dc27585317cb02 | [
"MIT"
] | null | null | null | from flask import jsonify, request
import backend.services.user as user_services
from . import bp
@bp.route('/user', methods=['POST', 'GET'])
def create_user():
if request.method == "POST":
data_json = request.json
body, status = user_services.create_user(data_json)
elif request.method == "G... | 27.112676 | 81 | 0.628052 | 0 | 0 | 0 | 0 | 1,808 | 0.939221 | 0 | 0 | 223 | 0.115844 |
6e0cf115db4bb95a08b1d4ece55fa11c8d6418e1 | 222 | py | Python | src/mot/motion_models/__init__.py | neer201/Multi-Object-Tracking-for-Automotive-Systems-in-python | 886cd9e87283982381713dbf2e4ef695030f81de | [
"Apache-2.0"
] | 6 | 2021-11-21T10:47:01.000Z | 2022-03-17T01:14:53.000Z | src/mot/motion_models/__init__.py | neer201/Multi-Object-Tracking-for-Automotive-Systems-in-python | 886cd9e87283982381713dbf2e4ef695030f81de | [
"Apache-2.0"
] | 3 | 2021-04-12T12:37:41.000Z | 2021-04-30T14:29:53.000Z | src/mot/motion_models/__init__.py | neer201/Multi-Object-Tracking-for-Automotive-Systems-in-python | 886cd9e87283982381713dbf2e4ef695030f81de | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
from mot.motion_models.base_motion_model import MotionModel
from mot.motion_models.CT_motion_model import CoordinateTurnMotionModel
from mot.motion_models.CV_motion_model import ConstantVelocityMotionModel
| 37 | 73 | 0.891892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.063063 |
6e0db8ed1374b74b17dc4c64dad644332a33ce07 | 7,205 | py | Python | src/modu/editable/datatypes/date.py | philchristensen/modu | 795f3bc413956b98522ac514dafe35cbab0d57a3 | [
"MIT"
] | null | null | null | src/modu/editable/datatypes/date.py | philchristensen/modu | 795f3bc413956b98522ac514dafe35cbab0d57a3 | [
"MIT"
] | null | null | null | src/modu/editable/datatypes/date.py | philchristensen/modu | 795f3bc413956b98522ac514dafe35cbab0d57a3 | [
"MIT"
] | null | null | null | # modu
# Copyright (c) 2006-2010 Phil Christensen
# http://modu.bubblehouse.org
#
#
# See LICENSE for details
"""
Datatypes for managing stringlike data.
"""
import time, datetime
from zope.interface import implements
from modu.editable import IDatatype, define
from modu.util import form, tags, date
from modu.persi... | 28.82 | 106 | 0.658015 | 6,785 | 0.941707 | 0 | 0 | 0 | 0 | 0 | 0 | 2,056 | 0.285357 |
6e0dc799717432679f99b12ed1cdbf0dbbf71f58 | 829 | py | Python | calculator.py | MateusLinharesDeAelencarLima/Calculator | 44e836aa92fd76d21b4c5f0edfcb5419886f1df6 | [
"CC0-1.0"
] | null | null | null | calculator.py | MateusLinharesDeAelencarLima/Calculator | 44e836aa92fd76d21b4c5f0edfcb5419886f1df6 | [
"CC0-1.0"
] | 1 | 2021-09-10T21:13:16.000Z | 2021-09-23T16:13:08.000Z | calculator.py | MateusLinharesDeAelencarLima/Calculator | 44e836aa92fd76d21b4c5f0edfcb5419886f1df6 | [
"CC0-1.0"
] | null | null | null | from functions.summation import summation
from functions.subtraction import subtraction
from functions.multiplication import multiplication
from functions.division import division
from functions.exponential import exponential
from functions.root import root
num1 = float(input('número 1: '))
num2 = float(input('número ... | 34.541667 | 51 | 0.784077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.230769 |
6e0f3ad7fb4aa74ebb70351b2ab8036b7bfa68b3 | 2,949 | py | Python | tests.py | suetAndTie/ekho | fbf8a19e1babc3fc0f11220ec9440a7f05f4bfcd | [
"MIT"
] | 1 | 2019-01-31T19:17:01.000Z | 2019-01-31T19:17:01.000Z | tests.py | suetAndTie/ekho | fbf8a19e1babc3fc0f11220ec9440a7f05f4bfcd | [
"MIT"
] | null | null | null | tests.py | suetAndTie/ekho | fbf8a19e1babc3fc0f11220ec9440a7f05f4bfcd | [
"MIT"
] | null | null | null | ! pip install -q librosa nltk
import torch
import numpy as np
import librosa
import librosa.display
import IPython
from IPython.display import Audio
# need this for English text processing frontend
import nltk
! python -m nltk.downloader cmudict
preset = "20180505_deepvoice3_ljspeech.json"
checkpoint_path = "20180505... | 32.406593 | 106 | 0.758901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,174 | 0.397293 |
6e10c0ea90829d65558f7e100bd54ed82664fe76 | 405 | py | Python | lib/utils/checks.py | Matt-cloud/Discord.py-Template | 4b2ac9f0897bb44dfd799d821e536fc34ef3064e | [
"MIT"
] | null | null | null | lib/utils/checks.py | Matt-cloud/Discord.py-Template | 4b2ac9f0897bb44dfd799d821e536fc34ef3064e | [
"MIT"
] | null | null | null | lib/utils/checks.py | Matt-cloud/Discord.py-Template | 4b2ac9f0897bb44dfd799d821e536fc34ef3064e | [
"MIT"
] | null | null | null | from discord.ext import commands
from lib import exceptions
import os
import json
configFile = os.path.join(os.getcwd(), "data", "config.json")
with open(configFile, "rb") as f:
config = json.load(f)
def is_owner():
async def predicate(ctx):
if ctx.author.id in config['owners']:
return ... | 22.5 | 61 | 0.681481 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.340741 | 31 | 0.076543 |
6e11308aa80bc676e3ca2d21a4edcb18f890e752 | 1,649 | py | Python | envs/fetch/interval.py | malikasng/Bbox_HGG_with_CTR_and_RRTstarFND | 2b1aae6c347f544fefface0c9f26dc4ecde51108 | [
"MIT"
] | 1 | 2020-09-16T06:15:17.000Z | 2020-09-16T06:15:17.000Z | envs/fetch/interval.py | malikasng/Bbox_HGG_with_CTR_and_RRTstarFND | 2b1aae6c347f544fefface0c9f26dc4ecde51108 | [
"MIT"
] | 5 | 2020-09-26T01:30:01.000Z | 2022-01-13T03:15:42.000Z | envs/fetch/interval.py | malikasng/Bbox_HGG_with_CTR_and_RRTstarFND | 2b1aae6c347f544fefface0c9f26dc4ecde51108 | [
"MIT"
] | null | null | null | import gym
import numpy as np
from torchvision.utils import save_image
from .fixobj import FixedObjectGoalEnv
class IntervalGoalEnv(FixedObjectGoalEnv):
def __init__(self, args):
self.img_size = args.img_size
FixedObjectGoalEnv.__init__(self, args)
def generate_goal(self):
if self.target_goal_center is not ... | 37.477273 | 149 | 0.726501 | 1,535 | 0.930867 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.009096 |
6e11fb05adb494991b86d4b22a22f936a7c8a876 | 1,908 | py | Python | cactusbot/commands/magic/alias.py | CactusBot/CactusBot | 6d035bf74bdc8f7fb3ee1e79f8d443f5b17e7ea5 | [
"MIT"
] | 23 | 2016-02-16T05:09:11.000Z | 2016-09-20T14:22:51.000Z | cactusbot/commands/magic/alias.py | Alkali-Metal/CactusBot | 6d035bf74bdc8f7fb3ee1e79f8d443f5b17e7ea5 | [
"MIT"
] | 190 | 2016-09-30T05:31:59.000Z | 2018-12-22T08:46:49.000Z | cactusbot/commands/magic/alias.py | Alkali-Metal/CactusBot | 6d035bf74bdc8f7fb3ee1e79f8d443f5b17e7ea5 | [
"MIT"
] | 16 | 2016-10-09T16:51:48.000Z | 2017-10-25T05:29:10.000Z | """Alias command."""
from . import Command
from ...packets import MessagePacket
class Alias(Command):
"""Alias command."""
COMMAND = "alias"
@Command.command(role="moderator")
async def add(self, alias: "?command", command: "?command", *_: False,
raw: "packet"):
"""Add a n... | 32.338983 | 78 | 0.545597 | 1,824 | 0.955975 | 0 | 0 | 1,737 | 0.910377 | 1,612 | 0.844864 | 467 | 0.244759 |
6e13a8102a55ae649fda3dcfedbae946ebff32c0 | 2,828 | py | Python | explorer/util.py | brianhouse/rlab | 4d878abd2299fd340a645ebd8b92a68c2b48f41e | [
"MIT"
] | null | null | null | explorer/util.py | brianhouse/rlab | 4d878abd2299fd340a645ebd8b92a68c2b48f41e | [
"MIT"
] | null | null | null | explorer/util.py | brianhouse/rlab | 4d878abd2299fd340a645ebd8b92a68c2b48f41e | [
"MIT"
] | null | null | null | import numpy as np
def combine(signal_x, signal_y):
return np.stack((signal_x, signal_y), axis=-1)
def normalize(signal, minimum=None, maximum=None):
"""Normalize a signal to the range 0, 1. Uses the minimum and maximum observed in the data unless explicitly passed."""
signal = np.array(signal).astype('fl... | 40.985507 | 132 | 0.597242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 0.247525 |
6e14c71363bc33135f20b63aec47306b9531737a | 2,839 | py | Python | dooly/converters/kobart_utils.py | jinmang2/DOOLY | 961c7b43b06dffa98dc8a39e72e417502e89470c | [
"Apache-2.0"
] | 17 | 2022-03-06T05:06:14.000Z | 2022-03-31T00:25:06.000Z | dooly/converters/kobart_utils.py | jinmang2/DOOLY | 961c7b43b06dffa98dc8a39e72e417502e89470c | [
"Apache-2.0"
] | 6 | 2022-03-27T18:18:40.000Z | 2022-03-31T17:35:34.000Z | dooly/converters/kobart_utils.py | jinmang2/DOOLY | 961c7b43b06dffa98dc8a39e72e417502e89470c | [
"Apache-2.0"
] | 1 | 2022-03-31T13:07:41.000Z | 2022-03-31T13:07:41.000Z | import os
import sys
import hashlib
import importlib
def is_available_boto3():
return importlib.util.find_spec("boto3")
if is_available_boto3():
import boto3
from botocore import UNSIGNED
from botocore.client import Config
else:
raise ModuleNotFoundError("Please install boto3 with: `pip install ... | 31.898876 | 80 | 0.610426 | 1,812 | 0.637804 | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 0.100317 |
6e154f31690fe2c1e126dc21483f4d1d4a667900 | 348 | py | Python | Python_Files/murach/book_apps/ch13/factorial_recursion.py | Interloper2448/BCGPortfolio | c4c160a835c64c8d099d44c0995197f806ccc824 | [
"MIT"
] | null | null | null | Python_Files/murach/book_apps/ch13/factorial_recursion.py | Interloper2448/BCGPortfolio | c4c160a835c64c8d099d44c0995197f806ccc824 | [
"MIT"
] | null | null | null | Python_Files/murach/book_apps/ch13/factorial_recursion.py | Interloper2448/BCGPortfolio | c4c160a835c64c8d099d44c0995197f806ccc824 | [
"MIT"
] | null | null | null | def factorial(num):
if num == 0:
return 1
else:
return num * factorial(num - 1)
def main():
print("0! =", factorial(0))
print("1! =", factorial(1))
print("2! =", factorial(2))
print("3! =", factorial(3))
print("4! =", factorial(4))
print("5! =", factorial(5))
if __name_... | 20.470588 | 39 | 0.514368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.132184 |
6e15e9506e9a75c167124e23e066dc0069217190 | 1,565 | py | Python | tests/uv/util/test_env.py | hartikainen/uv-metrics | 7b47b8ce1dff5fc41cdd540f816ea41a0cd27c21 | [
"ECL-2.0",
"Apache-2.0"
] | 9 | 2020-06-17T17:33:05.000Z | 2022-03-30T17:32:05.000Z | tests/uv/util/test_env.py | hartikainen/uv-metrics | 7b47b8ce1dff5fc41cdd540f816ea41a0cd27c21 | [
"ECL-2.0",
"Apache-2.0"
] | 28 | 2020-06-16T18:32:08.000Z | 2020-11-12T17:51:20.000Z | tests/uv/util/test_env.py | hartikainen/uv-metrics | 7b47b8ce1dff5fc41cdd540f816ea41a0cd27c21 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2020-08-07T20:05:49.000Z | 2021-10-21T01:43:00.000Z | #!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 29.528302 | 78 | 0.705431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,054 | 0.673482 |
6e1651dd40e1ae6c43644b4a77456f4eb701c53a | 1,054 | py | Python | models/fleet.py | gnydick/qairon | e67af1f88ac6c614ae33adc4f42ab2ec3cc5b257 | [
"MIT"
] | null | null | null | models/fleet.py | gnydick/qairon | e67af1f88ac6c614ae33adc4f42ab2ec3cc5b257 | [
"MIT"
] | null | null | null | models/fleet.py | gnydick/qairon | e67af1f88ac6c614ae33adc4f42ab2ec3cc5b257 | [
"MIT"
] | null | null | null | from sqlalchemy import *
from sqlalchemy.orm import relationship
from db import db
class Fleet(db.Model):
__tablename__ = "fleet"
id = Column(String, primary_key=True)
deployment_target_id = Column(String, ForeignKey('deployment_target.id'))
fleet_type_id = Column(String, ForeignKey('fleet_type.id'))... | 30.114286 | 89 | 0.736243 | 675 | 0.640417 | 0 | 0 | 174 | 0.165085 | 0 | 0 | 171 | 0.162239 |
6e17097d88bd49914581f2dfe02ed8fa34bee9d4 | 254 | py | Python | backend/authentication/admin.py | jklewis99/hypertriviation | e12be87e978505fb3a73f4fc606173f41a3aee81 | [
"MIT"
] | 1 | 2022-03-27T19:39:07.000Z | 2022-03-27T19:39:07.000Z | backend/authentication/admin.py | jklewis99/hypertriviation | e12be87e978505fb3a73f4fc606173f41a3aee81 | [
"MIT"
] | 5 | 2022-03-27T19:32:54.000Z | 2022-03-31T23:25:44.000Z | backend/authentication/admin.py | jklewis99/hypertriviation | e12be87e978505fb3a73f4fc606173f41a3aee81 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import HypertriviationUser
class HypertriviationUserAdmin(admin.ModelAdmin):
model = HypertriviationUser
# Register your models here.
admin.site.register(HypertriviationUser, HypertriviationUserAdmin) | 25.4 | 66 | 0.838583 | 81 | 0.318898 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.110236 |
6e1773f3e2177f91fdf46e022af55af83edbbcb5 | 1,568 | py | Python | logs/followup_email.py | vreyespue/Movie_Bot | 192c74be62afcfda77a0984ff4da3014226c3432 | [
"Apache-2.0"
] | 26 | 2019-02-04T04:55:09.000Z | 2021-09-22T14:58:46.000Z | logs/followup_email.py | vreyespue/Movie_Bot | 192c74be62afcfda77a0984ff4da3014226c3432 | [
"Apache-2.0"
] | 2 | 2019-05-07T16:33:09.000Z | 2021-02-13T18:25:35.000Z | logs/followup_email.py | vreyespue/Movie_Bot | 192c74be62afcfda77a0984ff4da3014226c3432 | [
"Apache-2.0"
] | 27 | 2018-12-10T12:13:50.000Z | 2020-10-11T17:43:22.000Z | ###################################################################
######## Follow up email #############
###################################################################
"""
followup_email.py
This is special use case code written to assist bot developers. It consolidates to... | 26.133333 | 122 | 0.646684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 803 | 0.512117 |
6e18dbf82c0ab208ca098975575465ec97248c7b | 269 | py | Python | backend/validators/authorization_val.py | NelsonM9/senaSoft | d72b5ed32b86a53aac962ec440d84ecce4555780 | [
"Apache-2.0"
] | null | null | null | backend/validators/authorization_val.py | NelsonM9/senaSoft | d72b5ed32b86a53aac962ec440d84ecce4555780 | [
"Apache-2.0"
] | null | null | null | backend/validators/authorization_val.py | NelsonM9/senaSoft | d72b5ed32b86a53aac962ec440d84ecce4555780 | [
"Apache-2.0"
] | null | null | null | from marshmallow import validate, fields, Schema
class AuthorizationVal(Schema):
id_auth = fields.Str(required=True, validator=validate.Length(max=10))
id_o = fields.Str(required=True, validator=validate.Length(max=10))
file_a = fields.Raw(required=True)
| 38.428571 | 74 | 0.758364 | 217 | 0.806691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6e1b6e602b092d059fb5b4b96bb130aa002770f4 | 1,213 | py | Python | wiwo/sender.py | CoreSecurity/wiwo | 44bd44b8ebea7e33105a7f4dac6480493cbb9623 | [
"Apache-1.1"
] | 76 | 2015-08-01T23:24:43.000Z | 2018-07-02T11:13:16.000Z | wiwo/sender.py | 6e726d/wiwo | 44bd44b8ebea7e33105a7f4dac6480493cbb9623 | [
"Apache-1.1"
] | 1 | 2016-01-28T22:11:17.000Z | 2016-02-03T22:14:46.000Z | wiwo/sender.py | 6e726d/wiwo | 44bd44b8ebea7e33105a7f4dac6480493cbb9623 | [
"Apache-1.1"
] | 27 | 2015-08-11T07:24:42.000Z | 2018-10-05T11:09:54.000Z | #!/usr/bin/env python
# -*- coding: iso-8859-15 -*-
#
# Copyright 2003-2015 CORE Security Technologies
#
# 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/LIC... | 28.880952 | 74 | 0.678483 | 457 | 0.376752 | 0 | 0 | 430 | 0.354493 | 0 | 0 | 763 | 0.629019 |