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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
63864bd0c8cd0935d04afd12f3430b88b366b42e | 8,792 | py | Python | sources/rnt/mediane/process.py | bryan-brancotte/rank-aggregation-with-ties | 15fffb0b1bee3d6cef7090486a7c910e5f51195d | [
"Apache-2.0"
] | null | null | null | sources/rnt/mediane/process.py | bryan-brancotte/rank-aggregation-with-ties | 15fffb0b1bee3d6cef7090486a7c910e5f51195d | [
"Apache-2.0"
] | 11 | 2018-04-04T08:24:30.000Z | 2021-03-19T21:45:04.000Z | sources/rnt/mediane/process.py | bryan-brancotte/rank-aggregation-with-ties | 15fffb0b1bee3d6cef7090486a7c910e5f51195d | [
"Apache-2.0"
] | 1 | 2018-10-25T09:13:41.000Z | 2018-10-25T09:13:41.000Z | from django.utils import timezone
from django.utils.translation import ugettext
from mediane.algorithms.enumeration import get_name_from
from mediane.algorithms.lri.BioConsert import BioConsert
from mediane.algorithms.lri.ExactAlgorithm import ExactAlgorithm
from mediane.algorithms.misc.borda_count import BordaCount
f... | 35.595142 | 116 | 0.66242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 805 | 0.091561 |
6386ae51574c0702fa4ae47e2c3e29449d380984 | 71 | py | Python | utils_demo/percentage_format.py | IBM/nesa-demo | 4e87217f44ff66414f78df6962ee8633d89f0cf5 | [
"MIT"
] | 2 | 2021-12-16T13:16:56.000Z | 2022-01-19T14:23:18.000Z | utils_demo/percentage_format.py | SocioProphet/nesa-demo | 4e87217f44ff66414f78df6962ee8633d89f0cf5 | [
"MIT"
] | null | null | null | utils_demo/percentage_format.py | SocioProphet/nesa-demo | 4e87217f44ff66414f78df6962ee8633d89f0cf5 | [
"MIT"
] | 1 | 2022-03-07T19:57:59.000Z | 2022-03-07T19:57:59.000Z | def percentage_format(x: float) -> str:
return f"{(x * 100):.1f}%"
| 23.666667 | 39 | 0.591549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.267606 |
6389dbaa2631db7b30ed8767e0e5b57b31566133 | 399 | py | Python | restaurantapp/mainapp/migrations/0003_auto_20200508_1206.py | ShubhamJain0/ShubhamJain0.github.io | bf73d2a8f55c3362908c8102d1788a34627dba44 | [
"MIT"
] | null | null | null | restaurantapp/mainapp/migrations/0003_auto_20200508_1206.py | ShubhamJain0/ShubhamJain0.github.io | bf73d2a8f55c3362908c8102d1788a34627dba44 | [
"MIT"
] | 4 | 2021-04-08T21:52:50.000Z | 2022-02-10T09:29:03.000Z | restaurantapp/mainapp/migrations/0003_auto_20200508_1206.py | ShubhamJain0/Restaurant-App | bf73d2a8f55c3362908c8102d1788a34627dba44 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.2 on 2020-05-08 12:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mainapp', '0002_auto_20200508_1115'),
]
operations = [
migrations.AlterField(
model_name='yourorder',
name='phone',
... | 21 | 61 | 0.60401 | 306 | 0.766917 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0.24812 |
6389dc63d6c399ed10f73f80566508686888935c | 82 | py | Python | pybomberman/__init__.py | pybomberman/pybomberman | 8c7582ec52bf0dd1d77a3e98f5867ffa97233653 | [
"MIT"
] | 2 | 2021-03-29T08:44:54.000Z | 2021-05-03T23:34:06.000Z | pybomberman/__init__.py | pybomberman/pybomberman | 8c7582ec52bf0dd1d77a3e98f5867ffa97233653 | [
"MIT"
] | null | null | null | pybomberman/__init__.py | pybomberman/pybomberman | 8c7582ec52bf0dd1d77a3e98f5867ffa97233653 | [
"MIT"
] | null | null | null | from .map import Map
print("Soon... https://github.com/pybomberman/pybomberman")
| 20.5 | 59 | 0.743902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.634146 |
638b620923dedf797dae35ba43746969775844b6 | 3,935 | py | Python | cd2h_repo_project/modules/doi/schemas.py | galterlibrary/InvenioRDM-at-NU | 5aff6ac7c428c9a61bdf221627bfc05f2280d1a3 | [
"MIT"
] | 6 | 2019-09-02T00:01:50.000Z | 2021-11-04T08:23:40.000Z | cd2h_repo_project/modules/doi/schemas.py | galterlibrary/InvenioRDM-at-NU | 5aff6ac7c428c9a61bdf221627bfc05f2280d1a3 | [
"MIT"
] | 72 | 2019-09-04T18:52:35.000Z | 2020-07-21T19:58:15.000Z | cd2h_repo_project/modules/doi/schemas.py | galterlibrary/InvenioRDM-at-NU | 5aff6ac7c428c9a61bdf221627bfc05f2280d1a3 | [
"MIT"
] | null | null | null | """JSON Schemas."""
import csv
from collections import defaultdict
from datetime import date
from os.path import dirname, join, realpath
from flask import current_app
from marshmallow import Schema, fields
from cd2h_repo_project.modules.records.resource_type import ResourceType
class DataCiteResourceTypeMap(object)... | 30.503876 | 78 | 0.653621 | 3,639 | 0.924778 | 0 | 0 | 0 | 0 | 0 | 0 | 1,591 | 0.40432 |
638ca1bd53358131bd94d7e2bbba9486f9304c18 | 1,068 | py | Python | python/dazl/model/__init__.py | DACH-NY/dazl-client | 56c8b1be047415b2bcb35b6558de4a780a402458 | [
"Apache-2.0"
] | null | null | null | python/dazl/model/__init__.py | DACH-NY/dazl-client | 56c8b1be047415b2bcb35b6558de4a780a402458 | [
"Apache-2.0"
] | null | null | null | python/dazl/model/__init__.py | DACH-NY/dazl-client | 56c8b1be047415b2bcb35b6558de4a780a402458 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-2022 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
"""
:mod:`dazl.model` package
=========================
This module is deprecated. These types have generally moved to :mod:`dazl.client` (for the API
introduced in dazl v5) or ... | 30.514286 | 102 | 0.712547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 803 | 0.751873 |
638cb4fc9dbdd295d6a3f3e2773674502d0d5ab5 | 1,559 | py | Python | paxes_cinder/scheduler/filters/storage_protocol_filter.py | windskyer/k_cinder | 000ee539ee4842a158071d26ee99d12c7c0a87da | [
"Apache-2.0"
] | null | null | null | paxes_cinder/scheduler/filters/storage_protocol_filter.py | windskyer/k_cinder | 000ee539ee4842a158071d26ee99d12c7c0a87da | [
"Apache-2.0"
] | null | null | null | paxes_cinder/scheduler/filters/storage_protocol_filter.py | windskyer/k_cinder | 000ee539ee4842a158071d26ee99d12c7c0a87da | [
"Apache-2.0"
] | null | null | null | from cinder.openstack.common import log as logging
from cinder.openstack.common.scheduler import filters
from cinder.openstack.common.scheduler.filters import extra_specs_ops
LOG = logging.getLogger(__name__)
class StorageProtocolFilter(filters.BaseHostFilter):
"""StorageProtocol filters based on volume host's ... | 38.02439 | 84 | 0.62925 | 1,346 | 0.863374 | 0 | 0 | 0 | 0 | 0 | 0 | 364 | 0.233483 |
6390b3aacb002c83ef8bc4d3f72ff626a4abe7f1 | 1,771 | py | Python | Bioinformatics IV/Week IV/PeptideSequencingProblem.py | egeulgen/Bioinformatics_Specialization | 38581b471a54c41d780d9eeb26a7033eb57f3a01 | [
"MIT"
] | 3 | 2021-04-03T23:46:42.000Z | 2021-08-08T01:19:32.000Z | Bioinformatics IV/Week IV/PeptideSequencingProblem.py | egeulgen/Bioinformatics_Specialization | 38581b471a54c41d780d9eeb26a7033eb57f3a01 | [
"MIT"
] | null | null | null | Bioinformatics IV/Week IV/PeptideSequencingProblem.py | egeulgen/Bioinformatics_Specialization | 38581b471a54c41d780d9eeb26a7033eb57f3a01 | [
"MIT"
] | null | null | null | import sys
from copy import deepcopy
mass_file=open('integer_mass_table.txt')
mass_table = {}
for line in mass_file:
aa, mass = line.rstrip().split(' ')
mass_table[int(mass)] = aa
# mass_table[4] = 'X'
# mass_table[5] = 'Z'
def PeptideSequencing(spectral_vector):
spectral_vector = [0] + spectral_vector
... | 28.564516 | 76 | 0.539243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.067758 |
6390c12244c07615289c789c791dd14d31ca59c7 | 2,465 | py | Python | test/likelihoods/test_multitask_gaussian_likelihood.py | llguo95/gpytorch | 1fa69935104565c377ce95d2c581c9eedfb55817 | [
"MIT"
] | 2,673 | 2018-02-19T22:28:58.000Z | 2022-03-31T13:22:28.000Z | test/likelihoods/test_multitask_gaussian_likelihood.py | llguo95/gpytorch | 1fa69935104565c377ce95d2c581c9eedfb55817 | [
"MIT"
] | 1,415 | 2018-02-19T20:38:20.000Z | 2022-03-30T12:53:13.000Z | test/likelihoods/test_multitask_gaussian_likelihood.py | llguo95/gpytorch | 1fa69935104565c377ce95d2c581c9eedfb55817 | [
"MIT"
] | 467 | 2018-03-07T02:06:05.000Z | 2022-03-27T07:05:44.000Z | #!/usr/bin/env python3
import unittest
import torch
from gpytorch.distributions import MultitaskMultivariateNormal
from gpytorch.lazy import KroneckerProductLazyTensor, RootLazyTensor
from gpytorch.likelihoods import MultitaskGaussianLikelihood
from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCa... | 35.214286 | 92 | 0.708722 | 2,136 | 0.866531 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.037323 |
639138968935973bda9f7100f85f9fc9166454f1 | 399 | py | Python | zip/unzip_print.py | juarezhenriquelisboa/Python | 5c5498b33e7cba4e3bfa322a6a76bed74b68e6bf | [
"MIT"
] | 1 | 2021-01-01T14:46:28.000Z | 2021-01-01T14:46:28.000Z | zip/unzip_print.py | juarezhenriquelisboa/Python | 5c5498b33e7cba4e3bfa322a6a76bed74b68e6bf | [
"MIT"
] | null | null | null | zip/unzip_print.py | juarezhenriquelisboa/Python | 5c5498b33e7cba4e3bfa322a6a76bed74b68e6bf | [
"MIT"
] | null | null | null | import zipfile
import sys
for arg in sys.argv[1:]:
senha = str(arg)
z = zipfile.ZipFile("protegido.zip")
files = z.namelist()
z.setpassword(senha)
z.extractall()
z.close()
for extracted_file in files:
print "Nome do arquivo: "+extracted_file+"\n\nConteudo: "
with open(extracted_file) as f:
... | 16.625 | 61 | 0.639098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.145363 |
6392f325bfe2c22484f1ffe055193199e29b8c30 | 948 | py | Python | awards/forms.py | JKimani77/awards | 8cdfaadbd4aca5ef2031966496ebcb5c3c3ea49e | [
"MIT"
] | null | null | null | awards/forms.py | JKimani77/awards | 8cdfaadbd4aca5ef2031966496ebcb5c3c3ea49e | [
"MIT"
] | null | null | null | awards/forms.py | JKimani77/awards | 8cdfaadbd4aca5ef2031966496ebcb5c3c3ea49e | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.forms import UserCreationForm,AuthenticationForm
from django.contrib.auth.models import User
from .models import Profile,Project,Review
class RegForm(UserCreationForm):
email = forms.EmailField()
class Meta:
model = User
fields = ('usernam... | 26.333333 | 75 | 0.681435 | 743 | 0.783755 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.160338 |
63941acd5ea7c627eccf6daf6a03aa134aea7caf | 1,269 | py | Python | setup.py | aaren/pharminv | b3d3d11c81bafa40a72583aa98f51b05acec9835 | [
"BSD-3-Clause"
] | 12 | 2015-05-12T21:02:44.000Z | 2021-04-24T23:05:16.000Z | setup.py | aaren/pharminv | b3d3d11c81bafa40a72583aa98f51b05acec9835 | [
"BSD-3-Clause"
] | 5 | 2015-04-05T17:05:09.000Z | 2022-02-11T16:46:57.000Z | setup.py | aaren/pharminv | b3d3d11c81bafa40a72583aa98f51b05acec9835 | [
"BSD-3-Clause"
] | 3 | 2018-04-27T20:10:10.000Z | 2022-02-16T13:12:02.000Z | import subprocess
from setuptools import setup, Extension
try:
pandoc = subprocess.Popen(['pandoc', 'README.md', '--to', 'rst'],
stdout=subprocess.PIPE)
readme = pandoc.communicate()[0].decode()
except OSError:
with open('README.md') as f:
readme = f.read()
cmdclass... | 23.943396 | 69 | 0.618597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 262 | 0.206462 |
63945460f91035ee579fbea1f037bd4fecb49b1e | 8,830 | py | Python | RiskQuantLib/Tool/databaseTool.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | 1 | 2021-12-29T12:18:45.000Z | 2021-12-29T12:18:45.000Z | RiskQuantLib/Tool/databaseTool.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | null | null | null | RiskQuantLib/Tool/databaseTool.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | 1 | 2021-12-08T02:14:34.000Z | 2021-12-08T02:14:34.000Z | #!/usr/bin/python
#coding = utf-8
import numpy as np
import pandas as pd
import mysql.connector
class mysqlTool():
"""
This is the API to connect with mysql database.
"""
def __init__(self,databaseNameString:str,hostAddress:str,userName:str,passWord:str):
self.targetDB = mysql.connector.connect(
host = hostA... | 40.504587 | 160 | 0.723669 | 8,728 | 0.988448 | 0 | 0 | 0 | 0 | 0 | 0 | 1,284 | 0.145413 |
63947c1901639950a3d0a9a8e03f0f05a930b237 | 270 | py | Python | subset_train.py | sngweicong/DeepCTR-Torch | 67d4e9d0c8a13aa4d614b2d04397a7f6e7a0e9af | [
"Apache-2.0"
] | null | null | null | subset_train.py | sngweicong/DeepCTR-Torch | 67d4e9d0c8a13aa4d614b2d04397a7f6e7a0e9af | [
"Apache-2.0"
] | null | null | null | subset_train.py | sngweicong/DeepCTR-Torch | 67d4e9d0c8a13aa4d614b2d04397a7f6e7a0e9af | [
"Apache-2.0"
] | null | null | null | data_size_plus_header = 1000001
train_dir = 'train'
subset_train_dir = 'sub_train.txt'
fullfile = open(train_dir, 'r')
subfile = open(subset_train_dir,'w')
for i in range(data_size_plus_header):
subfile.write(fullfile.readline())
fullfile.close()
subfile.close()
| 20.769231 | 38 | 0.759259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.103704 |
6396512d9916e7db0610bee423d4d3ccdc2c336e | 12,095 | py | Python | packages/validate_and_forward/lambda_handler.py | NHSDigital/list-reconciliation | 37b1ebe99a64275e23b0e7fb6a89415b92d14306 | [
"MIT"
] | 4 | 2021-06-25T08:28:54.000Z | 2021-12-16T11:03:42.000Z | packages/validate_and_forward/lambda_handler.py | NHSDigital/list-reconciliation | 37b1ebe99a64275e23b0e7fb6a89415b92d14306 | [
"MIT"
] | 184 | 2021-06-24T15:27:08.000Z | 2022-03-17T12:44:28.000Z | packages/validate_and_forward/lambda_handler.py | NHSDigital/list-reconciliation | 37b1ebe99a64275e23b0e7fb6a89415b92d14306 | [
"MIT"
] | 3 | 2021-11-05T10:21:44.000Z | 2022-03-04T14:29:24.000Z | import json
import os
import traceback
from datetime import datetime
from uuid import uuid4
import boto3
from aws.ssm import get_ssm_params
from database import Jobs
from gp_file_parser.parser import parse_gp_extract_file_s3
from jobs.statuses import InputFolderType, InvalidErrorType, JobStatus, ParseStatus
from lr_lo... | 33.136986 | 113 | 0.556676 | 11,437 | 0.945597 | 0 | 0 | 0 | 0 | 0 | 0 | 2,665 | 0.220339 |
6396bfd17554b072db271a588e4203eb7b87b54a | 1,258 | py | Python | src/ucar/unidata/apps/noaapsd/default.py | mhiley/IDV | bf45573c008f4b1d155d42fbb078bd99578d69d3 | [
"CNRI-Jython"
] | null | null | null | src/ucar/unidata/apps/noaapsd/default.py | mhiley/IDV | bf45573c008f4b1d155d42fbb078bd99578d69d3 | [
"CNRI-Jython"
] | null | null | null | src/ucar/unidata/apps/noaapsd/default.py | mhiley/IDV | bf45573c008f4b1d155d42fbb078bd99578d69d3 | [
"CNRI-Jython"
] | null | null | null | """
NOAA/ESRL/PSD Jython functions
"""
def calcMonAnom(monthly, ltm, normalize=0):
""" Calculate the monthly anomaly from a long term mean.
The number of timesteps in ltm must be 12
"""
from visad import VisADException
monAnom = monthly.clone()
months = len(ltm)
if (not months == 12):
raise VisAD... | 29.952381 | 74 | 0.670111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 304 | 0.241653 |
639892302eb62bb4521dec46165a447fd1bb4884 | 370 | py | Python | bitmovin_api_sdk/account/organizations/groups/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 11 | 2019-07-03T10:41:16.000Z | 2022-02-25T21:48:06.000Z | bitmovin_api_sdk/account/organizations/groups/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 8 | 2019-11-23T00:01:25.000Z | 2021-04-29T12:30:31.000Z | bitmovin_api_sdk/account/organizations/groups/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 13 | 2020-01-02T14:58:18.000Z | 2022-03-26T12:10:30.000Z | from bitmovin_api_sdk.account.organizations.groups.groups_api import GroupsApi
from bitmovin_api_sdk.account.organizations.groups.tenants.tenants_api import TenantsApi
from bitmovin_api_sdk.account.organizations.groups.invitations.invitations_api import InvitationsApi
from bitmovin_api_sdk.account.organizations.groups.... | 74 | 100 | 0.905405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6398ccc3c667be7698d1809b95c494572f689685 | 1,268 | py | Python | 08.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 08.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 08.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | long_number = "73167176531330624919225119674426574742355349194934969835203127745063262395783180169848018694788518438586156078911294949545950173795833195285320880551112540698747158523863050715693290963295227443043557668966489504452445231617318564030987111217223831136222989342338030813533627661428280644448664523874930358... | 105.666667 | 1,016 | 0.932177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,015 | 0.800473 |
639a14e502ea586296e65639c8a98f05735475db | 272 | py | Python | app/views.py | we-race-here/wrh-brac | 6dcd6bb23c86f98896127c89b24e6dc30af9648a | [
"MIT"
] | null | null | null | app/views.py | we-race-here/wrh-brac | 6dcd6bb23c86f98896127c89b24e6dc30af9648a | [
"MIT"
] | 9 | 2022-01-13T13:11:03.000Z | 2022-01-17T19:12:17.000Z | app/views.py | we-race-here/wrh-brac | 6dcd6bb23c86f98896127c89b24e6dc30af9648a | [
"MIT"
] | null | null | null | from django.shortcuts import render
# Create your views here.
from django.views.generic import TemplateView
from . import models, serializers
class HomeView(TemplateView):
template_name = 'Data.html'
class FrontView(TemplateView):
template_name = 'index.html'
| 20.923077 | 45 | 0.775735 | 124 | 0.455882 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.176471 |
639b330d716e55cdf8a6ae33248c52fa4f302a3c | 755 | py | Python | perceptron/gen-data.py | KellyHwong/MIT-ML | 0305208956f89cb039292c7cce175852f0783336 | [
"MIT"
] | 15 | 2020-02-03T20:28:36.000Z | 2021-10-05T14:11:56.000Z | perceptron/gen-data.py | KellyHwong/MIT-ML | 0305208956f89cb039292c7cce175852f0783336 | [
"MIT"
] | null | null | null | perceptron/gen-data.py | KellyHwong/MIT-ML | 0305208956f89cb039292c7cce175852f0783336 | [
"MIT"
] | 10 | 2019-08-13T12:54:54.000Z | 2021-02-10T20:24:43.000Z | import numpy as np
import random
N = 10
def null(a, rtol=1e-5):
u, s, v = np.linalg.svd(a)
rank = (s > rtol*s[0]).sum()
return rank, v[rank:].T.copy()
def gen_data(N, noisy=False):
lower = -1
upper = 1
dim = 2
X = np.random.rand(dim, N)*(upper-lower)+lower
while True:
Xsa... | 18.414634 | 78 | 0.531126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.013245 |
639db7a427799c489966370121dcda273bf83fd4 | 4,431 | py | Python | forgot_password/tests/test_settings.py | oursky/forgot_password | 9afde8b9d39a2837676628f12c9b6f2c45da592a | [
"Apache-2.0"
] | 1 | 2017-02-09T10:17:50.000Z | 2017-02-09T10:17:50.000Z | forgot_password/tests/test_settings.py | oursky/forgot_password | 9afde8b9d39a2837676628f12c9b6f2c45da592a | [
"Apache-2.0"
] | 54 | 2016-09-07T11:01:32.000Z | 2020-02-12T06:15:43.000Z | forgot_password/tests/test_settings.py | oursky/forgot_password | 9afde8b9d39a2837676628f12c9b6f2c45da592a | [
"Apache-2.0"
] | 14 | 2016-09-20T05:36:49.000Z | 2019-04-02T15:42:37.000Z | # Copyright 2018 Oursky Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 39.918919 | 77 | 0.679982 | 2,379 | 0.536899 | 0 | 0 | 2,268 | 0.511848 | 0 | 0 | 2,084 | 0.470323 |
639f69e88bb9e0f52e4c78779eac5ba9a648e432 | 9,213 | py | Python | cosa/analyzers/bmc_temporal.py | zsisco/CoSA | b7a5107fcbae9b3ed3726fbcf9240b39252ef551 | [
"BSD-3-Clause"
] | 52 | 2018-02-26T19:01:03.000Z | 2022-02-24T08:30:00.000Z | cosa/analyzers/bmc_temporal.py | zsisco/CoSA | b7a5107fcbae9b3ed3726fbcf9240b39252ef551 | [
"BSD-3-Clause"
] | 28 | 2018-06-07T22:18:23.000Z | 2020-10-27T01:21:01.000Z | cosa/analyzers/bmc_temporal.py | zsisco/CoSA | b7a5107fcbae9b3ed3726fbcf9240b39252ef551 | [
"BSD-3-Clause"
] | 12 | 2018-08-16T20:02:46.000Z | 2021-01-20T18:17:45.000Z | # Copyright 2018 Cristian Mattarei
#
# Licensed under the modified BSD (3-clause BSD) License.
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the ... | 35.709302 | 130 | 0.551069 | 8,036 | 0.872246 | 0 | 0 | 0 | 0 | 0 | 0 | 1,211 | 0.131445 |
63a0482e773f0b1712ad551a2e29a76da9779874 | 6,767 | py | Python | sdk/python/pulumi_azure/blueprint/get_published_version.py | aangelisc/pulumi-azure | 71dd9c75403146e16f7480e5a60b08bc0329660e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/blueprint/get_published_version.py | aangelisc/pulumi-azure | 71dd9c75403146e16f7480e5a60b08bc0329660e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/blueprint/get_published_version.py | aangelisc/pulumi-azure | 71dd9c75403146e16f7480e5a60b08bc0329660e | [
"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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 36.578378 | 192 | 0.661741 | 4,368 | 0.645485 | 493 | 0.072854 | 3,780 | 0.558593 | 0 | 0 | 2,299 | 0.339737 |
63a05e17f1457914002ddf440d5d635997035ff1 | 2,952 | py | Python | basetrainer/scheduler/MultiStepLR.py | PanJinquan/pytorch-base-trainer | 37799c948f72b2f9d3771ff469e06cdbff4a1d07 | [
"MIT"
] | 11 | 2022-01-18T10:07:52.000Z | 2022-03-16T02:40:31.000Z | basetrainer/scheduler/MultiStepLR.py | PanJinquan/pytorch-base-trainer | 37799c948f72b2f9d3771ff469e06cdbff4a1d07 | [
"MIT"
] | null | null | null | basetrainer/scheduler/MultiStepLR.py | PanJinquan/pytorch-base-trainer | 37799c948f72b2f9d3771ff469e06cdbff4a1d07 | [
"MIT"
] | 1 | 2022-01-26T06:31:29.000Z | 2022-01-26T06:31:29.000Z | # -*-coding: utf-8 -*-
"""
@Author : panjq
@E-mail : pan_jinquan@163.com
@Date : 2021-07-28 15:32:44
"""
import torch
import torch.optim as optim
import torch.nn as nn
import numpy as np
from .WarmUpLR import WarmUpLR
from ..callbacks.callbacks import Callback
class MultiStepLR(Callback):
def __ini... | 33.545455 | 97 | 0.572493 | 2,739 | 0.907555 | 0 | 0 | 0 | 0 | 0 | 0 | 952 | 0.315441 |
63a0b6c965482e6900cbc411399d6b33e24bcb3d | 1,232 | py | Python | common/inspect.py | skying0527/pull-Demo | 5744e31e22ca27d43e04bfbce37e7af251a0fe76 | [
"Apache-2.0"
] | null | null | null | common/inspect.py | skying0527/pull-Demo | 5744e31e22ca27d43e04bfbce37e7af251a0fe76 | [
"Apache-2.0"
] | null | null | null | common/inspect.py | skying0527/pull-Demo | 5744e31e22ca27d43e04bfbce37e7af251a0fe76 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import os
import yaml
from tools.times import timestamp
from config.conf import ELEMENT_PATH, LOCATE_MODE
def inspect_element():
"""审查所有的元素是否正确"""
start_time = timestamp()
for i in os.listdir(ELEMENT_PATH):
_path = os.path.join(ELEMENT_PATH, i)
... | 35.2 | 78 | 0.491071 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 385 | 0.277778 |
63a0d5586584f64ab1bee33fc68bb0c0fc21fe84 | 7,201 | py | Python | client/starwhale/swds/store.py | goldenxinxing/starwhale | 2fbb72b0ce5e135b432120c779440e53942be3b5 | [
"Apache-2.0"
] | 1 | 2022-03-24T02:03:48.000Z | 2022-03-24T02:03:48.000Z | client/starwhale/swds/store.py | goldenxinxing/starwhale | 2fbb72b0ce5e135b432120c779440e53942be3b5 | [
"Apache-2.0"
] | null | null | null | client/starwhale/swds/store.py | goldenxinxing/starwhale | 2fbb72b0ce5e135b432120c779440e53942be3b5 | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
import sys
import yaml
import typing as t
import click
import requests
from rich.panel import Panel
from rich.pretty import Pretty
from fs import open_fs
from starwhale.base.store import LocalStorage
from starwhale.consts import (
DEFAULT_DATASET_YAML_NAME,
DEFAULT_MANIFEST_NAME,
... | 33.337963 | 87 | 0.539786 | 6,582 | 0.91404 | 1,600 | 0.222191 | 0 | 0 | 0 | 0 | 1,205 | 0.167338 |
63a2bc2fc9589a6a626eb31088dda639a15a9368 | 2,578 | py | Python | stx-metrics/footprint/tests/send_data_test.py | gaponcec/tools-contrib | 3e0d14040eec54de969dee22919c4d54c4d7c630 | [
"Apache-2.0"
] | 1 | 2019-03-25T19:21:57.000Z | 2019-03-25T19:21:57.000Z | stx-metrics/footprint/tests/send_data_test.py | gaponcec/tools-contrib | 3e0d14040eec54de969dee22919c4d54c4d7c630 | [
"Apache-2.0"
] | 3 | 2019-04-03T01:45:24.000Z | 2019-07-25T15:22:31.000Z | stx-metrics/footprint/tests/send_data_test.py | gaponcec/tools-contrib | 3e0d14040eec54de969dee22919c4d54c4d7c630 | [
"Apache-2.0"
] | 7 | 2019-03-25T18:53:44.000Z | 2020-02-18T09:17:03.000Z | #!/usr/bin/env python
__author__ = "Mario Carrillo"
import random
import time
import argparse
from influxdb import InfluxDBClient
INFLUX_SERVER = ""
INFLUX_PORT = ""
INFLUX_PASS = ""
INFLUX_USER = ""
def send_data(json_file):
client = InfluxDBClient(INFLUX_SERVER, INFLUX_PORT,
... | 24.320755 | 70 | 0.572149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.1955 |
63a41385fdcc3fd156087362665083c0f3d04e78 | 1,767 | py | Python | roll_the_dice/cli.py | pluralsight/tech-blog-roll-the-dice | 68ec0aa01f6becaca1ab72e8aff1141e8f253eaa | [
"Apache-2.0"
] | 11 | 2020-02-20T22:33:39.000Z | 2022-03-23T11:57:50.000Z | roll_the_dice/cli.py | pluralsight/tech-blog-roll-the-dice | 68ec0aa01f6becaca1ab72e8aff1141e8f253eaa | [
"Apache-2.0"
] | null | null | null | roll_the_dice/cli.py | pluralsight/tech-blog-roll-the-dice | 68ec0aa01f6becaca1ab72e8aff1141e8f253eaa | [
"Apache-2.0"
] | 6 | 2020-04-01T01:41:37.000Z | 2021-11-17T11:14:53.000Z | import typer
from .dice import roll, roll_from_string
app = typer.Typer()
@app.command("hello")
def hello_world():
"""our first CLI with typer!
"""
typer.echo("Opening blog post...")
typer.launch(
"https://pluralsight.com/tech-blog/python-cli-utilities-with-poetry-and-typer"
)
@app.com... | 25.985294 | 87 | 0.634975 | 0 | 0 | 0 | 0 | 1,658 | 0.938314 | 0 | 0 | 786 | 0.444822 |
63a60dfdf997ba92340c90aeb0a57c1998260210 | 2,311 | py | Python | scripts/dfh.py | ldamewood/figures | 5a6ee60d308f1726afe491469db3ec6cde9e6d5c | [
"MIT"
] | 5 | 2015-03-06T07:49:43.000Z | 2022-03-22T19:52:42.000Z | scripts/dfh.py | ldamewood/figures | 5a6ee60d308f1726afe491469db3ec6cde9e6d5c | [
"MIT"
] | null | null | null | scripts/dfh.py | ldamewood/figures | 5a6ee60d308f1726afe491469db3ec6cde9e6d5c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import numpy
import itertools
from pymatgen.core.lattice import Lattice
from pymatgen.core.operations import SymmOp
from pymatgen.core.structure import Structure
from crystal import fillcell, tikz_atoms
def dfh(single = True, defect = False):
if defect:
single = False
a = 5.43
... | 33.492754 | 100 | 0.603635 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.061445 |
63a6da93520ef33e9f9ab1ed832d591668deed60 | 3,458 | py | Python | instasave/__main__.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | 1 | 2020-07-05T19:42:44.000Z | 2020-07-05T19:42:44.000Z | instasave/__main__.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | null | null | null | instasave/__main__.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | 2 | 2019-09-10T20:21:35.000Z | 2019-09-19T09:43:03.000Z | import argparse
import os.path
from .instagram.post import Downloader
from .instagram.url import URLScraper
from .utils.webaddr import get_url, validate_url
from .web.client import HTTPHeaders
from .web.geckoloader import GeckoLoader
def get_arguments():
"""Get arguments passed to the program by the user."""
... | 27.664 | 79 | 0.628687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,246 | 0.360324 |
63aa46352916f59092337f4bb1b5c13be2e2644b | 649 | py | Python | modules/dbnd-airflow/src/dbnd_airflow/web/airflow_app.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | modules/dbnd-airflow/src/dbnd_airflow/web/airflow_app.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | modules/dbnd-airflow/src/dbnd_airflow/web/airflow_app.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | import logging
def create_app(config=None, testing=False):
from airflow.www_rbac import app as airflow_app
app, appbuilder = airflow_app.create_app(config=config, testing=testing)
# only now we can load view..
# this import might causes circular dependency if placed above
from dbnd_airflow.airfl... | 28.217391 | 76 | 0.753467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.200308 |
63ac6d028038f4c5c0f57741dd002fb5b4dacbf1 | 3,793 | py | Python | runway/lookups/handlers/random_string.py | onicagroup/runway | d50cac0e4878ff0691943029aa4f5b85d426a3b0 | [
"Apache-2.0"
] | 134 | 2018-02-26T21:35:23.000Z | 2022-03-03T00:30:27.000Z | runway/lookups/handlers/random_string.py | onicagroup/runway | d50cac0e4878ff0691943029aa4f5b85d426a3b0 | [
"Apache-2.0"
] | 937 | 2018-03-08T22:04:35.000Z | 2022-03-30T12:21:47.000Z | runway/lookups/handlers/random_string.py | onicagroup/runway | d50cac0e4878ff0691943029aa4f5b85d426a3b0 | [
"Apache-2.0"
] | 70 | 2018-02-26T23:48:11.000Z | 2022-03-02T18:44:30.000Z | """Generate a random string."""
# pyright: reportIncompatibleMethodOverride=none
from __future__ import annotations
import logging
import secrets
import string
from typing import TYPE_CHECKING, Any, Callable, List, Sequence, Union
from typing_extensions import Final, Literal
from ...utils import BaseModel
from .base... | 30.58871 | 80 | 0.631426 | 3,332 | 0.87846 | 0 | 0 | 2,925 | 0.771157 | 0 | 0 | 1,001 | 0.263907 |
63adc83e9b99bdc20e56c3462b56c6b2c4cdbcd3 | 4,523 | py | Python | FinBot/intent/Loki_Exchange.py | Lanlanluuu/LokiHub | aae3efb566d2383e78eaa8dc1e8b3f1bb097f2a6 | [
"MIT"
] | 17 | 2020-11-25T07:40:18.000Z | 2022-03-07T03:29:18.000Z | FinBot/intent/Loki_Exchange.py | Lanlanluuu/LokiHub | aae3efb566d2383e78eaa8dc1e8b3f1bb097f2a6 | [
"MIT"
] | 8 | 2020-12-18T13:23:59.000Z | 2021-10-03T21:41:50.000Z | FinBot/intent/Loki_Exchange.py | Lanlanluuu/LokiHub | aae3efb566d2383e78eaa8dc1e8b3f1bb097f2a6 | [
"MIT"
] | 43 | 2020-12-02T09:03:57.000Z | 2021-12-23T03:30:25.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""
Loki module for Exchange
Input:
inputSTR str,
utterance str,
args str[],
resultDICT dict
Output:
resultDICT dict
"""
DEBUG_Exchange = True
userDefinedDICT = {"歐元":"EUR",
... | 28.446541 | 78 | 0.516914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,777 | 0.356041 |
63ae1f61f819018618faf981a6a8c7128684233e | 1,396 | py | Python | venv/Lib/site-packages/win32comext/directsound/test/ds_record.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 150 | 2021-11-02T05:31:51.000Z | 2022-03-24T06:22:22.000Z | venv/Lib/site-packages/win32comext/directsound/test/ds_record.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 4 | 2021-12-01T11:55:58.000Z | 2022-02-24T16:14:37.000Z | venv/Lib/site-packages/win32comext/directsound/test/ds_record.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 33 | 2021-11-03T00:29:41.000Z | 2022-03-15T13:15:56.000Z | import pywintypes
import struct
import win32event, win32api
import os
import win32com.directsound.directsound as ds
def wav_header_pack(wfx, datasize):
return struct.pack(
"<4sl4s4slhhllhh4sl",
"RIFF",
36 + datasize,
"WAVE",
"fmt ",
16,
wfx.wFormatTag,
... | 23.661017 | 75 | 0.722779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.063037 |
63af8fc8ef5f415eb14f6ce6760e2d9eadfd7966 | 5,322 | py | Python | _unittests/ut_df/test_pandas_groupbynan.py | Pandinosaurus/pandas_streaming | 03008b63545e3634290ef0c041e920d94d454ccf | [
"MIT"
] | 20 | 2017-09-23T03:23:13.000Z | 2022-02-21T09:10:48.000Z | _unittests/ut_df/test_pandas_groupbynan.py | Pandinosaurus/pandas_streaming | 03008b63545e3634290ef0c041e920d94d454ccf | [
"MIT"
] | 19 | 2017-09-24T17:10:39.000Z | 2021-12-29T11:02:58.000Z | _unittests/ut_df/test_pandas_groupbynan.py | Pandinosaurus/pandas_streaming | 03008b63545e3634290ef0c041e920d94d454ccf | [
"MIT"
] | 7 | 2018-11-09T08:15:20.000Z | 2021-09-17T07:39:44.000Z | # coding: utf-8
"""
@brief test log(time=1s)
"""
import unittest
import pandas
import numpy
from scipy.sparse.linalg import lsqr as sparse_lsqr
from pyquickhelper.pycode import ExtTestCase, ignore_warnings
from pandas_streaming.df import pandas_groupby_nan, numpy_types
class TestPandasHelper(ExtTestCase):
d... | 37.216783 | 85 | 0.485908 | 4,996 | 0.938568 | 0 | 0 | 395 | 0.074206 | 0 | 0 | 632 | 0.11873 |
63afd781a3f83b4472e5cc0102407a1faccfc8c4 | 6,769 | py | Python | ros/src/tl_detector/tl_detector.py | irt24/Udacity-CarND-FinalProject | 0516a39a544f5a90c3b12b44f7ae200d53d8c375 | [
"MIT"
] | null | null | null | ros/src/tl_detector/tl_detector.py | irt24/Udacity-CarND-FinalProject | 0516a39a544f5a90c3b12b44f7ae200d53d8c375 | [
"MIT"
] | null | null | null | ros/src/tl_detector/tl_detector.py | irt24/Udacity-CarND-FinalProject | 0516a39a544f5a90c3b12b44f7ae200d53d8c375 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLCla... | 36.989071 | 108 | 0.646033 | 6,193 | 0.914906 | 0 | 0 | 0 | 0 | 0 | 0 | 2,678 | 0.395627 |
63aff24134f0357f39793f17fa4ba1b4b87cbb8d | 1,601 | py | Python | initGame.py | Sabsterrexx/PingPongGame | 61e22838e3f48fcb7ffb4d83cf7c5d793766110b | [
"MIT"
] | null | null | null | initGame.py | Sabsterrexx/PingPongGame | 61e22838e3f48fcb7ffb4d83cf7c5d793766110b | [
"MIT"
] | null | null | null | initGame.py | Sabsterrexx/PingPongGame | 61e22838e3f48fcb7ffb4d83cf7c5d793766110b | [
"MIT"
] | null | null | null | #Import required Modules:
import pygame
import constants
from paddle import Paddle
from ball import Ball
from score import Score
from text import Text
from screenState import ScreenState
#This function basically executes everything in the "screenState" module's class
def init():
#Initialize all the c... | 26.245902 | 123 | 0.658339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 536 | 0.334791 |
63b1672cda5a034b03a601fa6667760f80b9ca78 | 1,965 | py | Python | minmax.py | patello/subtracting_squares | 53ecfbfe96e2ddb9cb82307bae9c779a4d7d7b4d | [
"MIT"
] | null | null | null | minmax.py | patello/subtracting_squares | 53ecfbfe96e2ddb9cb82307bae9c779a4d7d7b4d | [
"MIT"
] | null | null | null | minmax.py | patello/subtracting_squares | 53ecfbfe96e2ddb9cb82307bae9c779a4d7d7b4d | [
"MIT"
] | null | null | null | class Game:
def __init__(self,span=[0,100],sub_fun="Square"):
self.span=span
self.func_dict = {
"Square":lambda x: pow(x,2),
"Odd":lambda x: 1 + (x-1)*2,
"Even":lambda x: x*2,
"Identity":lambda x: x,
"Logarithm":lambda x: pow(10,x-1)
... | 50.384615 | 124 | 0.603562 | 1,864 | 0.948601 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.456489 |
63b20249148e887bf399bbe4138aaff1329b132a | 983 | py | Python | fwl-automation-decisions/domain/src/domain/model/firewall/Firewall.py | aherculano/fwl-project | 6d4c4d40393b76d45cf13b572b5aabc0696e9285 | [
"MIT"
] | null | null | null | fwl-automation-decisions/domain/src/domain/model/firewall/Firewall.py | aherculano/fwl-project | 6d4c4d40393b76d45cf13b572b5aabc0696e9285 | [
"MIT"
] | null | null | null | fwl-automation-decisions/domain/src/domain/model/firewall/Firewall.py | aherculano/fwl-project | 6d4c4d40393b76d45cf13b572b5aabc0696e9285 | [
"MIT"
] | null | null | null | from .FirewallName import FirewallName
from .FirewallUUID import FirewallUUID
from .FirewallAccessLayer import FirewallAccessLayer
class Firewall(object):
def __init__(self, uuid: FirewallUUID, name: FirewallName, access_layer: FirewallAccessLayer):
self.uuid = uuid
self.name = name
self.... | 23.97561 | 98 | 0.670397 | 849 | 0.863683 | 0 | 0 | 452 | 0.459817 | 0 | 0 | 0 | 0 |
63b23605e301a71e7c5288370291d963f9333dd6 | 3,479 | py | Python | other_scripts/check_status.py | seyros/python_training | 15a5a3fa471d8ff63ccdd03c13bd09997a8b5794 | [
"Apache-2.0"
] | null | null | null | other_scripts/check_status.py | seyros/python_training | 15a5a3fa471d8ff63ccdd03c13bd09997a8b5794 | [
"Apache-2.0"
] | null | null | null | other_scripts/check_status.py | seyros/python_training | 15a5a3fa471d8ff63ccdd03c13bd09997a8b5794 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'ivanov'
import pymysql
# соединяемся с базой данных
connection = pymysql.connect(host="localhost", user="root", passwd="1112223334", db="testdb", charset='utf8', cursorclass=pymysql.cursors.DictCursor)
try:
with connection.cursor() as cursor:
#create new record
# ... | 89.205128 | 1,360 | 0.678068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,920 | 0.828604 |
63b3ca6cdf03796cdc1925b2b477724000dd42e8 | 3,461 | py | Python | inria/helloworld/datamodules.py | hernanlira/inria-anomaly_detection | f1dd980f7245c388f2ab583083ee72fb64d60a17 | [
"MIT"
] | null | null | null | inria/helloworld/datamodules.py | hernanlira/inria-anomaly_detection | f1dd980f7245c388f2ab583083ee72fb64d60a17 | [
"MIT"
] | null | null | null | inria/helloworld/datamodules.py | hernanlira/inria-anomaly_detection | f1dd980f7245c388f2ab583083ee72fb64d60a17 | [
"MIT"
] | null | null | null | from torchvision.datasets import MNIST
from torchvision import transforms
import pytorch_lightning as pl
from torch.utils.data import DataLoader, random_split
from multiprocessing import cpu_count
from typing import Any, Optional, Union
from pl_bolts.datamodules import CIFAR10DataModule
from pl_bolts.transforms.datas... | 36.431579 | 122 | 0.647501 | 3,001 | 0.86709 | 0 | 0 | 0 | 0 | 0 | 0 | 322 | 0.093037 |
63b5c11e95ca01d34e674cc2e9e39d8f57bab66d | 9,678 | py | Python | ml3d/tf/modules/pointnet.py | eiiijiiiy/Open3D-ML | 2a04231df0be39e2b8030e480d342cee5574fb9a | [
"MIT"
] | null | null | null | ml3d/tf/modules/pointnet.py | eiiijiiiy/Open3D-ML | 2a04231df0be39e2b8030e480d342cee5574fb9a | [
"MIT"
] | null | null | null | ml3d/tf/modules/pointnet.py | eiiijiiiy/Open3D-ML | 2a04231df0be39e2b8030e480d342cee5574fb9a | [
"MIT"
] | null | null | null | import tensorflow as tf
from typing import List
from ..utils.tf_utils import gen_CNN
from ...utils import MODEL
from ..utils.pointnet import pointnet2_utils
class Pointnet2MSG(tf.keras.layers.Layer):
def __init__(
self,
in_channels=6,
use_xyz=True,
SA_config={
... | 36.520755 | 103 | 0.515189 | 9,323 | 0.963319 | 0 | 0 | 0 | 0 | 0 | 0 | 2,099 | 0.216884 |
63b69e49a561a7a7f6b1bf9ff48c5966ebd4c9f7 | 1,374 | py | Python | utils/config.py | PierreHao/YouGraph | ae8cf5d5bb544f64ee206bcba07ece66d49e00e3 | [
"MIT"
] | 18 | 2021-06-16T07:34:58.000Z | 2022-03-22T11:52:20.000Z | utils/config.py | SuperXiang/YouGraph | fe3dcc77ba901893f2ffa6ae8dd773320ac5f862 | [
"MIT"
] | 1 | 2021-06-16T17:04:33.000Z | 2021-06-22T18:53:08.000Z | utils/config.py | SuperXiang/YouGraph | fe3dcc77ba901893f2ffa6ae8dd773320ac5f862 | [
"MIT"
] | 4 | 2021-07-08T02:09:27.000Z | 2022-03-31T01:08:05.000Z | import argparse
import json
from easydict import EasyDict
def get_args():
argparser = argparse.ArgumentParser(description=__doc__)
argparser.add_argument(
'-c', '--config',
metavar='C',
default=None,
help='The Configuration file')
argparser.add_argument(
'-i', '--id... | 24.981818 | 66 | 0.636099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 0.22198 |
63b74e1885d1242860e5b1d4ed405f1ff5699ee2 | 1,887 | py | Python | data_prep/train_val_test_splitter.py | GIT-chandra/DeReflectionNet | e214f8574c5d018a8568145cbbe7a78b41026c3b | [
"MIT"
] | null | null | null | data_prep/train_val_test_splitter.py | GIT-chandra/DeReflectionNet | e214f8574c5d018a8568145cbbe7a78b41026c3b | [
"MIT"
] | 1 | 2019-03-04T06:25:16.000Z | 2019-03-13T09:29:11.000Z | data_prep/train_val_test_splitter.py | GIT-chandra/DeReflectionNet | e214f8574c5d018a8568145cbbe7a78b41026c3b | [
"MIT"
] | null | null | null | import shutil
import numpy as np
ALL_SYNTHS_LIST = 'synth_imgs.txt'
TRAIN_IMAGES_LIST = 'train_imgs.txt'
VAL_IMAGES_LIST = 'val_imgs.txt'
TEST_IMAGES_LIST = 'test_imgs.txt'
TRAIN_STOP = 342000
VAL_STOP = TRAIN_STOP + 38000
'''
390000 examples : 342000 train and 38000 val (90/10 splits on 380000), 10000 test
'''
wi... | 34.944444 | 82 | 0.606783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 519 | 0.27504 |
63b7a45ec105c6ba1c889efaafdedd671e56a63a | 803 | py | Python | example/fastapi/models.py | cnjlq84/oidc-op | c7ab007327cc1a5e69abba7699c0be5f29534049 | [
"Apache-2.0"
] | 31 | 2020-09-15T21:18:05.000Z | 2022-02-17T02:50:04.000Z | example/fastapi/models.py | cnjlq84/oidc-op | c7ab007327cc1a5e69abba7699c0be5f29534049 | [
"Apache-2.0"
] | 106 | 2021-03-26T17:12:54.000Z | 2022-03-11T07:19:46.000Z | example/fastapi/models.py | cnjlq84/oidc-op | c7ab007327cc1a5e69abba7699c0be5f29534049 | [
"Apache-2.0"
] | 13 | 2020-02-12T16:31:01.000Z | 2022-03-03T09:54:44.000Z | from typing import List
from typing import Optional
from pydantic import BaseModel
class WebFingerRequest(BaseModel):
rel: Optional[str] = 'http://openid.net/specs/connect/1.0/issuer'
resource: str
class AuthorizationRequest(BaseModel):
acr_values: Optional[List[str]]
claims: Optional[dict]
cla... | 25.09375 | 69 | 0.711083 | 713 | 0.88792 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.054795 |
63b7c7a23f4c13a732afba3bcbd544198bdcf67b | 3,957 | py | Python | fnet/functions.py | HelmholtzAI-Consultants-Munich/pytorch_fnet | 879784bd0f8e76ab8f0ed8de4235180a316e12d8 | [
"Unlicense"
] | null | null | null | fnet/functions.py | HelmholtzAI-Consultants-Munich/pytorch_fnet | 879784bd0f8e76ab8f0ed8de4235180a316e12d8 | [
"Unlicense"
] | null | null | null | fnet/functions.py | HelmholtzAI-Consultants-Munich/pytorch_fnet | 879784bd0f8e76ab8f0ed8de4235180a316e12d8 | [
"Unlicense"
] | null | null | null | import importlib
import json
import os
import pdb
import sys
import fnet
import pandas as pd
import tifffile
import numpy as np
from fnet.transforms import normalize
def pearson_loss(x, y):
#x = output
#y = target
vx = x - torch.mean(x)
vy = y - torch.mean(y)
cost = torch.sum(vx * vy) / (torch.sq... | 30.674419 | 97 | 0.635583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 937 | 0.236796 |
63b7ef516ba9eb132540a0353455cfa47e2e1ffb | 3,151 | py | Python | scrape_mars.py | neilgbp/MissiontoMarsWebScrapingHW | 4afaf6a30cb03111ed53645afaedd3081cb7bbb7 | [
"ADSL"
] | null | null | null | scrape_mars.py | neilgbp/MissiontoMarsWebScrapingHW | 4afaf6a30cb03111ed53645afaedd3081cb7bbb7 | [
"ADSL"
] | null | null | null | scrape_mars.py | neilgbp/MissiontoMarsWebScrapingHW | 4afaf6a30cb03111ed53645afaedd3081cb7bbb7 | [
"ADSL"
] | null | null | null | import os
import pandas as pd
import pymongo
import requests
import time
from splinter import Browser
from bs4 import BeautifulSoup
from selenium import webdriver
print(os.path.abspath("chromedriver.exe"))
def init_browser():
executable_path = {"executable_path": os.path.abspath("chromedriver.exe")}
return B... | 32.484536 | 109 | 0.663916 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 835 | 0.264995 |
63b9f24ae6a49d0ba7a1154d3162616044c52214 | 3,989 | py | Python | indy_node/test/rich_schema/test_rich_schemas_disabled_by_default.py | Rob-S/indy-node | 0aefbda62c5a7412d7e03b2fb9795c500ea67e9f | [
"Apache-2.0"
] | 627 | 2017-07-06T12:38:08.000Z | 2022-03-30T13:18:43.000Z | indy_node/test/rich_schema/test_rich_schemas_disabled_by_default.py | Rob-S/indy-node | 0aefbda62c5a7412d7e03b2fb9795c500ea67e9f | [
"Apache-2.0"
] | 580 | 2017-06-29T17:59:57.000Z | 2022-03-29T21:37:52.000Z | indy_node/test/rich_schema/test_rich_schemas_disabled_by_default.py | Rob-S/indy-node | 0aefbda62c5a7412d7e03b2fb9795c500ea67e9f | [
"Apache-2.0"
] | 704 | 2017-06-29T17:45:34.000Z | 2022-03-30T07:08:58.000Z | import json
import pytest
from indy_common.constants import JSON_LD_CONTEXT, RS_CONTEXT_TYPE_VALUE, RS_ID, GET_RICH_SCHEMA_OBJECT_BY_ID, \
GET_RICH_SCHEMA_OBJECT_BY_METADATA, RS_NAME, RS_VERSION, RS_TYPE
from indy_node.test.api.helper import sdk_build_rich_schema_request, sdk_write_rich_schema_object_and_check
fr... | 55.402778 | 115 | 0.670093 | 0 | 0 | 0 | 0 | 3,143 | 0.787917 | 0 | 0 | 264 | 0.066182 |
63bc76920a70004a6435e13b986e5d039044a30a | 613 | py | Python | __about__.py | a232319779/python_mmdt | 66458e08bbf6cc5961a3e4134f0969aaa4f21b71 | [
"MIT"
] | 5 | 2021-02-01T07:23:15.000Z | 2022-02-21T11:05:50.000Z | __about__.py | a232319779/python_mmdt | 66458e08bbf6cc5961a3e4134f0969aaa4f21b71 | [
"MIT"
] | null | null | null | __about__.py | a232319779/python_mmdt | 66458e08bbf6cc5961a3e4134f0969aaa4f21b71 | [
"MIT"
] | 1 | 2021-02-01T07:23:17.000Z | 2021-02-01T07:23:17.000Z | # -*- coding: utf-8 -*-
# @Time : 2021/01/05 22:53:23
# @Author : ddvv
# @Site : https://ddvvmmzz.github.io
# @File : about.py
# @Software: Visual Studio Code
__all__ = [
"__author__",
"__copyright__",
"__email__",
"__license__",
"__summary__",
"__title__",
"__uri__",
"__ver... | 21.137931 | 53 | 0.646003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 415 | 0.676998 |
63bce965f7a1533a26e799f32a00a0a7b1005f81 | 135 | py | Python | img_transforms.py | martinpflaum/image-augmentation-with-point-clouds | 453947520bd74a0b7ae959c1b59e9776b9dfe7a2 | [
"MIT"
] | null | null | null | img_transforms.py | martinpflaum/image-augmentation-with-point-clouds | 453947520bd74a0b7ae959c1b59e9776b9dfe7a2 | [
"MIT"
] | null | null | null | img_transforms.py | martinpflaum/image-augmentation-with-point-clouds | 453947520bd74a0b7ae959c1b59e9776b9dfe7a2 | [
"MIT"
] | null | null | null | import random
from torchvision.transforms import functional as F
from torchvision.transforms import transforms
from PIL import Image | 33.75 | 51 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
63bd9e9b810c61a3a53d293b5e2aa48bf52f2c4e | 13,332 | py | Python | sourse/ui/modules/current_settings.py | LeaveMyYard/BitmexGridTrader | e7b8c4b1bfdc3dff6b02c3492ced9fb086e1519a | [
"MIT"
] | 28 | 2020-08-20T13:17:51.000Z | 2022-03-10T19:41:41.000Z | sourse/ui/modules/current_settings.py | LeaveMyYard/BitmexGridTrader | e7b8c4b1bfdc3dff6b02c3492ced9fb086e1519a | [
"MIT"
] | 5 | 2020-09-01T03:14:40.000Z | 2022-01-01T11:39:00.000Z | sourse/ui/modules/current_settings.py | LeaveMyYard/BitmexGridTrader | e7b8c4b1bfdc3dff6b02c3492ced9fb086e1519a | [
"MIT"
] | 16 | 2020-11-02T10:35:11.000Z | 2021-12-08T14:05:24.000Z | from __future__ import annotations
from sourse.ui.modules.base_qdockwidget_module import BaseUIModule
from PyQt5 import QtWidgets, QtCore, QtGui
from sourse.marketmaker import MarketMaker
import typing
import json
class InputFormat:
def __init__(
self,
widget_type: typing.Type[QtWidgets.QWidget],... | 35.93531 | 100 | 0.586559 | 13,122 | 0.983363 | 0 | 0 | 4,016 | 0.300959 | 0 | 0 | 1,305 | 0.097797 |
63be5f6fc2edffc16d8c259349723231c31bc671 | 613 | py | Python | lyrics.py | JamesK2754/COVIDBot | b4ffaa21873baa1f0c5dfd5b4d5ebb30bfd8d1a4 | [
"MIT"
] | null | null | null | lyrics.py | JamesK2754/COVIDBot | b4ffaa21873baa1f0c5dfd5b4d5ebb30bfd8d1a4 | [
"MIT"
] | null | null | null | lyrics.py | JamesK2754/COVIDBot | b4ffaa21873baa1f0c5dfd5b4d5ebb30bfd8d1a4 | [
"MIT"
] | null | null | null | import lyricsgenius
geniustoken = "Akf1AHXpbqaKHSQ06hesk8q1urZkHWJ334bzLr1SwZ1BBPSMGUm3NcbcbDR8ye7Z"
genius = lyricsgenius.Genius(geniustoken)
songname = input("")
def lysearch(songname):
import lyricsgenius
geniustoken = "Akf1AHXpbqaKHSQ06hesk8q1urZkHWJ334bzLr1SwZ1BBPSMGUm3NcbcbDR8ye7Z"
genius = lyr... | 36.058824 | 85 | 0.722675 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.254486 |
63bef9d21b68c3b40a658cb21bf53511e46c9e39 | 987 | py | Python | network.py | wildarch/aiai | 765fb67b42359f8fa0b530d5baf13714de069e90 | [
"MIT"
] | 1 | 2020-12-23T12:47:41.000Z | 2020-12-23T12:47:41.000Z | network.py | wildarch/aiai | 765fb67b42359f8fa0b530d5baf13714de069e90 | [
"MIT"
] | null | null | null | network.py | wildarch/aiai | 765fb67b42359f8fa0b530d5baf13714de069e90 | [
"MIT"
] | null | null | null | import numpy as np
import numpy.random as rand
from functools import reduce
class Network:
def __init__(self, layer_sizes):
# layer_sizes: list of numbers representing number of neurons per layer
# Create a numpy array of biases for each layer except the (first) input layer
self.biases =... | 28.2 | 109 | 0.663627 | 704 | 0.713273 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.375887 |
63c00642ff2e4d391cdfd97b2502db83f3e78004 | 276 | py | Python | al_helper/__init__.py | Taehun/al_helper | 8e304a69359e3807564bb15954df2994e0bb8897 | [
"Apache-2.0"
] | null | null | null | al_helper/__init__.py | Taehun/al_helper | 8e304a69359e3807564bb15954df2994e0bb8897 | [
"Apache-2.0"
] | null | null | null | al_helper/__init__.py | Taehun/al_helper | 8e304a69359e3807564bb15954df2994e0bb8897 | [
"Apache-2.0"
] | null | null | null | """Let's score the unlabeled data for the active learning"""
from al_helper.apis import build
from al_helper.helpers import ALHelper, ALHelperFactory, ALHelperObjectDetection
__version__ = "0.1.0"
__all__ = ["build", "ALHelper", "ALHelperFactory", "ALHelperObjectDetection"]
| 39.428571 | 80 | 0.786232 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.456522 |
63c1e56c492a20f0ed2af22f56c19c8afeb33a3d | 568 | py | Python | flocka/extensions.py | sleekslush/flocka | 3d1c0ae9bf82b7b8afb03494ee6dd8488157fe68 | [
"BSD-2-Clause"
] | 1 | 2018-10-09T14:09:12.000Z | 2018-10-09T14:09:12.000Z | flocka/extensions.py | sleekslush/flocka | 3d1c0ae9bf82b7b8afb03494ee6dd8488157fe68 | [
"BSD-2-Clause"
] | 11 | 2017-03-22T15:26:05.000Z | 2017-06-01T20:17:52.000Z | flocka/extensions.py | sleekslush/flocka | 3d1c0ae9bf82b7b8afb03494ee6dd8488157fe68 | [
"BSD-2-Clause"
] | null | null | null | from flask_cache import Cache
from flask_debugtoolbar import DebugToolbarExtension
from flask_login import LoginManager
from flask_assets import Environment
from flask_migrate import Migrate
from flocka.models import User
# Setup flask cache
cache = Cache()
# Init flask assets
assets_env = Environment()
# Debug Too... | 19.586207 | 52 | 0.806338 | 0 | 0 | 0 | 0 | 83 | 0.146127 | 0 | 0 | 87 | 0.153169 |
63c1f522219bcc2dba5b4f17eb780f21296ad3d6 | 90 | py | Python | django_rest_auth_embedded/tests/__init__.py | Volkova-Natalia/django_rest_auth_embedded | 43fe1d23f59332a7794365348989599cde44af6e | [
"MIT"
] | null | null | null | django_rest_auth_embedded/tests/__init__.py | Volkova-Natalia/django_rest_auth_embedded | 43fe1d23f59332a7794365348989599cde44af6e | [
"MIT"
] | 1 | 2021-02-26T16:56:31.000Z | 2021-03-24T09:47:43.000Z | django_rest_auth_email_confirm_reset/tests/__init__.py | Volkova-Natalia/django_rest_auth_email_confirm_reset | 781e63fd97606e48d69acf84fc6bb011e47b10ca | [
"MIT"
] | null | null | null | from .models import *
from .urls import *
from .views import *
from .integration import *
| 18 | 26 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
63c2e90768ca94858d6102fd8adcdc5f1544bdda | 137 | py | Python | pycwr/__init__.py | 1271756664/study | 8013dd6c597618949c5fcbf86e38502525a8136d | [
"MIT"
] | 144 | 2019-11-27T14:36:41.000Z | 2022-02-23T08:21:17.000Z | pycwr/__init__.py | 1271756664/study | 8013dd6c597618949c5fcbf86e38502525a8136d | [
"MIT"
] | 32 | 2019-11-29T10:11:53.000Z | 2022-03-14T07:46:44.000Z | pycwr/__init__.py | 1271756664/study | 8013dd6c597618949c5fcbf86e38502525a8136d | [
"MIT"
] | 57 | 2019-11-27T12:51:44.000Z | 2022-01-29T14:50:05.000Z | from . import configure, core, draw, io, interp, retrieve, qc
__all__ = ["configure", "core", "draw", "io", "interp", "qc", "retrieve"]
| 34.25 | 73 | 0.635036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.357664 |
63c55b4d12d1d8ec15b4829bd9a5a98bed33f3a3 | 979 | py | Python | app/main.py | aturX/python-swagger-docker | c05167c73205e80bd72479f215a2703565059e1c | [
"MIT"
] | null | null | null | app/main.py | aturX/python-swagger-docker | c05167c73205e80bd72479f215a2703565059e1c | [
"MIT"
] | null | null | null | app/main.py | aturX/python-swagger-docker | c05167c73205e80bd72479f215a2703565059e1c | [
"MIT"
] | 1 | 2020-01-08T13:51:24.000Z | 2020-01-08T13:51:24.000Z | import sys
sys.path.append('../') # 新加入的
sys.path.append('.') # 新加入的
from flasgger import Swagger
from flask import Flask
from v1.sum_ab_controller import demo_sum
app = Flask(__name__)
# API 文档的配置
template = {
"swagger": "2.0",
"info": {
"title": "XXX 在线API",
"description": "在线API 调用测试",
"contact":... | 22.767442 | 58 | 0.631256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 0.56701 |
63c5f609080ffa98734dc87a441cdb7f22753616 | 2,169 | py | Python | tests/test_primary_beams.py | Song655/sdp-algorithm-reference | fc7c0da9461d5a1606ebb30ed913a44cdcd9b112 | [
"Apache-2.0"
] | 1 | 2019-10-18T13:11:01.000Z | 2019-10-18T13:11:01.000Z | tests/test_primary_beams.py | Song655/sdp-algorithm-reference | fc7c0da9461d5a1606ebb30ed913a44cdcd9b112 | [
"Apache-2.0"
] | 1 | 2019-01-28T23:07:32.000Z | 2019-01-28T23:07:32.000Z | tests/test_primary_beams.py | Song655/sdp-algorithm-reference | fc7c0da9461d5a1606ebb30ed913a44cdcd9b112 | [
"Apache-2.0"
] | 5 | 2018-03-27T03:30:34.000Z | 2019-10-18T13:05:37.000Z | """Unit tests for testing support
"""
import logging
import os
import unittest
import numpy
from astropy import units as u
from astropy.coordinates import SkyCoord
from arl.data.polarisation import PolarisationFrame
from arl.image.operations import export_image_to_fits
from arl.imaging.base import create_image_fro... | 40.924528 | 103 | 0.674504 | 1,636 | 0.754265 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.063163 |
63c70a3e82f535c37cce5aff704d8df99b4e6ede | 3,676 | py | Python | trees/tree_to_pairwisedistance.py | johned0/EdwardsLab | ae0d8b51a579cd009b414d11224b4110ba13af66 | [
"MIT"
] | 30 | 2015-01-25T16:22:51.000Z | 2022-01-20T15:56:47.000Z | trees/tree_to_pairwisedistance.py | johned0/EdwardsLab | ae0d8b51a579cd009b414d11224b4110ba13af66 | [
"MIT"
] | 2 | 2020-04-13T15:00:37.000Z | 2020-09-23T12:35:59.000Z | trees/tree_to_pairwisedistance.py | johned0/EdwardsLab | ae0d8b51a579cd009b414d11224b4110ba13af66 | [
"MIT"
] | 24 | 2015-04-17T00:52:05.000Z | 2021-11-26T17:50:01.000Z | """
Start with a tree file, use ete3 to create a pairwise distance for all nodes. Basically this is the
distance matrix but as tuples.
if we have a tree like
----A
_____________|y
| |
| ----B
________|z
| ... | 34.35514 | 120 | 0.590588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,294 | 0.624048 |
63c7b536e598facda277d873456c65962337d344 | 508 | py | Python | src/hitachi2020_b.py | 06keito/study-atcoder | c859e542079b550d19fa5e5e632e982a0dbb9578 | [
"MIT"
] | 1 | 2021-08-19T07:21:47.000Z | 2021-08-19T07:21:47.000Z | src/hitachi2020_b.py | 06keito/main-repository | c859e542079b550d19fa5e5e632e982a0dbb9578 | [
"MIT"
] | null | null | null | src/hitachi2020_b.py | 06keito/main-repository | c859e542079b550d19fa5e5e632e982a0dbb9578 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def main():
A,B,M = map(int,input().split())
A_prise = list(map(int,input().split()))
B_prise = list(map(int,input().split()))
Most_low_prise = min(A_prise)+min(B_prise)
for i in range(M):
x,y,c = map(int,input().split())
Post_coupon_ori... | 31.75 | 74 | 0.627953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.106299 |
63c88a948245c1382a743f6e1329878390cf91ac | 51,310 | py | Python | gazoo_device/tests/unit_tests/utility_tests/adb_utils_test.py | dedsec-9/gazoo-device | 5ed2867c258da80e53b6aae07ec7a65efe473a28 | [
"Apache-2.0"
] | null | null | null | gazoo_device/tests/unit_tests/utility_tests/adb_utils_test.py | dedsec-9/gazoo-device | 5ed2867c258da80e53b6aae07ec7a65efe473a28 | [
"Apache-2.0"
] | null | null | null | gazoo_device/tests/unit_tests/utility_tests/adb_utils_test.py | dedsec-9/gazoo-device | 5ed2867c258da80e53b6aae07ec7a65efe473a28 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 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 agreed to in writing, ... | 47.159926 | 80 | 0.717657 | 49,119 | 0.957299 | 0 | 0 | 48,707 | 0.949269 | 0 | 0 | 10,528 | 0.205184 |
63cacc17d61840c87378bcbce1b36a18495e24a2 | 1,269 | py | Python | webapp/apps/dynamic/urls.py | codekansas/PolicyBrain | 83c459db883536bae70cc78ca92ebdcff554ac2d | [
"MIT"
] | null | null | null | webapp/apps/dynamic/urls.py | codekansas/PolicyBrain | 83c459db883536bae70cc78ca92ebdcff554ac2d | [
"MIT"
] | null | null | null | webapp/apps/dynamic/urls.py | codekansas/PolicyBrain | 83c459db883536bae70cc78ca92ebdcff554ac2d | [
"MIT"
] | null | null | null | from django.conf.urls import patterns, include, url
from .views import (show_job_submitted, dynamic_input, dynamic_finished,
ogusa_results, dynamic_landing, dynamic_behavioral,
behavior_results, edit_dynamic_behavioral, elastic_results,
dynamic_elasticities, ... | 57.681818 | 99 | 0.684791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 491 | 0.386919 |
63cb3e72171de82701ab61371e19e92285bb291d | 8,866 | py | Python | gbdtmo/gbdtmo.py | samanemami/GBDTMO | 33ee163d5db4dd71dae620c8e1f8295ed33c0a24 | [
"MIT"
] | 2 | 2021-09-15T16:18:15.000Z | 2022-01-12T10:35:18.000Z | gbdtmo/gbdtmo.py | samanemami/GBDTMO | 33ee163d5db4dd71dae620c8e1f8295ed33c0a24 | [
"MIT"
] | null | null | null | gbdtmo/gbdtmo.py | samanemami/GBDTMO | 33ee163d5db4dd71dae620c8e1f8295ed33c0a24 | [
"MIT"
] | null | null | null | import numpy as np
import numpy.ctypeslib as npct
import ctypes
from .histogram import get_bins_maps
from .lib_utils import *
class BoostUtils:
def __init__(self, lib):
self.lib = lib
self._boostnode = None
def _set_gh(self, g, h):
self.lib.SetGH(self._boostnode, g, h)
def _set_b... | 46.663158 | 108 | 0.518498 | 8,732 | 0.984886 | 0 | 0 | 0 | 0 | 0 | 0 | 539 | 0.060794 |
63cb9cfcd1d1bed86874e36912a9244d3c5563c5 | 443 | py | Python | hold-tests/test_role_ans_dev.py | pahoughton/ansible-pahoughton | dba7c014e43fa232bea05b84f96d5b9115800089 | [
"CC-BY-3.0"
] | null | null | null | hold-tests/test_role_ans_dev.py | pahoughton/ansible-pahoughton | dba7c014e43fa232bea05b84f96d5b9115800089 | [
"CC-BY-3.0"
] | null | null | null | hold-tests/test_role_ans_dev.py | pahoughton/ansible-pahoughton | dba7c014e43fa232bea05b84f96d5b9115800089 | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python3
# 2018-10-13 (cc) <paul4hough@gmail.com>
'''
pips:
- testinfra
- molecule
- tox
'''
class test_role_ans_dev (object):
''' test_role_ans_dev useless class
'''
assert packages.installed(
yaml.array( pkgs[common],
pkgs[os][common],
... | 17.72 | 61 | 0.573363 | 326 | 0.735892 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.419865 |
63cba68bb6cb48b86439201796c5193de0beeb23 | 8,310 | py | Python | padertorch/contrib/cb/summary.py | jensheit/padertorch | 5827ec6ee768c32ae97348050846c7988b6bd5fa | [
"MIT"
] | null | null | null | padertorch/contrib/cb/summary.py | jensheit/padertorch | 5827ec6ee768c32ae97348050846c7988b6bd5fa | [
"MIT"
] | null | null | null | padertorch/contrib/cb/summary.py | jensheit/padertorch | 5827ec6ee768c32ae97348050846c7988b6bd5fa | [
"MIT"
] | null | null | null |
import collections
import torch
import einops
import cached_property
import padertorch as pt
# loss: torch.Tenso r =None,
# losses: dict =None,
# scalars: dict =None,
# histograms: dict =None,
# audios: dict =None,
# images: dict =None,
class ReviewSummary(collections.abc.Mapping):
"""
>>> review_summary... | 31.240602 | 121 | 0.536221 | 8,065 | 0.970517 | 0 | 0 | 87 | 0.010469 | 0 | 0 | 1,780 | 0.2142 |
63cc52215ee9f6507c0099207c8677db1e3b4142 | 907 | py | Python | venv/FlightPlan2.py | zowegoop/DroneMapping | 79d8645f0050cc0114e733d16e44e354e1a959c5 | [
"MIT"
] | null | null | null | venv/FlightPlan2.py | zowegoop/DroneMapping | 79d8645f0050cc0114e733d16e44e354e1a959c5 | [
"MIT"
] | null | null | null | venv/FlightPlan2.py | zowegoop/DroneMapping | 79d8645f0050cc0114e733d16e44e354e1a959c5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Rescue mission in the mountains 2
# if running locally, you need to install the djitello module
# run this on your linux or mac machine
# pip3 install djitello
######## PARAMETERS ###########
fspeed = 117/10 # Foward Speed in cm/s (15cm/s)
aspeed = 360/10 # Angular Speed Degrees/s
interval ... | 19.717391 | 61 | 0.701213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 502 | 0.553473 |
63cd13cafbe9b72881384584902ce2c4c485f091 | 43,992 | py | Python | ubertool/terrplant/tests/test_terrplant_unittest.py | qed-uber/ubertool | 472a143e110f634afdfe03d503e5f442b1e57b86 | [
"Unlicense"
] | 2 | 2016-01-06T20:20:51.000Z | 2016-03-05T13:26:19.000Z | ubertool/terrplant/tests/test_terrplant_unittest.py | qed-uber/ubertool | 472a143e110f634afdfe03d503e5f442b1e57b86 | [
"Unlicense"
] | 21 | 2017-08-02T18:00:16.000Z | 2019-08-20T15:57:09.000Z | ubertool/terrplant/tests/test_terrplant_unittest.py | quanted/ubertool | 472a143e110f634afdfe03d503e5f442b1e57b86 | [
"Unlicense"
] | null | null | null | import datetime
import inspect
import numpy.testing as npt
import os.path
import pandas as pd
import pandas.util.testing as pdt
import sys
from tabulate import tabulate
import unittest
# #find parent directory and import model
# parentddir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))
# sy... | 49.098214 | 122 | 0.618044 | 43,424 | 0.987089 | 0 | 0 | 0 | 0 | 0 | 0 | 17,376 | 0.394981 |
63cd283958618a19e423133bb4fbcee1918c23d9 | 3,851 | py | Python | mnist.py | a25765564/MLtest | 03fdb97cd215fc2a1d6d584d76f74eb94ffb2266 | [
"MIT"
] | null | null | null | mnist.py | a25765564/MLtest | 03fdb97cd215fc2a1d6d584d76f74eb94ffb2266 | [
"MIT"
] | null | null | null | mnist.py | a25765564/MLtest | 03fdb97cd215fc2a1d6d584d76f74eb94ffb2266 | [
"MIT"
] | null | null | null | import numpy as np
import sklearn.preprocessing as prep
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
def xavier_init(fan_in,fan_out,constant = 1):
low = -constant * np.sqrt(6.0 /(fan_in + fan_out))
high = constant * np.sqrt(6.0 /(fan_in + fan_out))
return tf.random_unif... | 44.77907 | 118 | 0.731758 | 2,195 | 0.569982 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.025448 |
63cd37f1d19aa602021ac5d7d2664ac5f4cbcbd3 | 1,296 | py | Python | images/migrations/0001_initial.py | Hoofeycheng/Bookmarks | f2721633cd39393f0c92993579071679bb975ab0 | [
"MIT"
] | null | null | null | images/migrations/0001_initial.py | Hoofeycheng/Bookmarks | f2721633cd39393f0c92993579071679bb975ab0 | [
"MIT"
] | null | null | null | images/migrations/0001_initial.py | Hoofeycheng/Bookmarks | f2721633cd39393f0c92993579071679bb975ab0 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.4 on 2019-01-21 03:56
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 37.028571 | 149 | 0.604938 | 1,137 | 0.877315 | 0 | 0 | 0 | 0 | 0 | 0 | 183 | 0.141204 |
63cd6a4844d309d64fcae3b172caa3687fb25c61 | 951 | py | Python | src/python/detectors/os_command_injection/os_command_injection.py | martinschaef/amazon-codeguru-reviewer-python-detectors | 7452471b7ac5e1f2e1a0bfbd0f615d98f160e0e4 | [
"Apache-2.0"
] | 18 | 2022-01-27T22:50:22.000Z | 2022-02-15T17:41:24.000Z | src/python/detectors/os_command_injection/os_command_injection.py | martinschaef/amazon-codeguru-reviewer-python-detectors | 7452471b7ac5e1f2e1a0bfbd0f615d98f160e0e4 | [
"Apache-2.0"
] | 1 | 2022-01-31T21:36:18.000Z | 2022-02-22T17:09:54.000Z | src/python/detectors/os_command_injection/os_command_injection.py | martinschaef/amazon-codeguru-reviewer-python-detectors | 7452471b7ac5e1f2e1a0bfbd0f615d98f160e0e4 | [
"Apache-2.0"
] | 7 | 2022-02-10T21:50:50.000Z | 2022-03-28T14:21:10.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
# {fact rule=os-command-injection@v1.0 defects=1}
def exec_command_noncompliant():
from paramiko import client
from flask import request
address = request.args.get("address")
cmd = "ping -c 1 %s... | 32.793103 | 69 | 0.701367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 427 | 0.449001 |
63cdddd1832970e9972b2c05b624ca631cca30ea | 922 | py | Python | src/Dao/Parts.py | asarfara/PartCost | 99b7485ad811d41ca86a61b922faf51facdabcd3 | [
"MIT"
] | null | null | null | src/Dao/Parts.py | asarfara/PartCost | 99b7485ad811d41ca86a61b922faf51facdabcd3 | [
"MIT"
] | null | null | null | src/Dao/Parts.py | asarfara/PartCost | 99b7485ad811d41ca86a61b922faf51facdabcd3 | [
"MIT"
] | null | null | null | import logging
import json
from typing import List
from src.Entity.Part import Part
from datetime import date
from sqlite3 import Connection
class Parts:
def __init__(self, file_name: str, logger: logging, connection: Connection):
self.file_name = file_name
self.logger = logger
self.conne... | 28.8125 | 173 | 0.654013 | 777 | 0.842733 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.260304 |
63d0e3d64e13f20d2c0c373757cdad7580a1300b | 4,300 | py | Python | src/utils/plots.py | Light4Code/tensorflow-research | 392c2d7bc376f491fec68d479b130f883d6d028d | [
"MIT"
] | 5 | 2020-02-29T16:28:55.000Z | 2021-11-24T07:47:36.000Z | src/utils/plots.py | Light4Code/tensorflow-research | 392c2d7bc376f491fec68d479b130f883d6d028d | [
"MIT"
] | 3 | 2020-11-13T18:41:57.000Z | 2022-02-10T01:37:51.000Z | src/utils/plots.py | Light4Code/tensorflow-research | 392c2d7bc376f491fec68d479b130f883d6d028d | [
"MIT"
] | 4 | 2020-03-24T10:50:17.000Z | 2020-06-02T13:07:28.000Z | import matplotlib.pyplot as plt
import numpy as np
import numpy.ma as ma
import utils.image_util as iu
from utils.custom_types import Vector
def plot_history(loss, acc, val_loss, val_acc):
plt.figure(figsize=(20, 10))
plt.subplot(2, 1, 1)
plt.title("Loss")
plt.grid()
plt.plot(loss)
plt.plot(v... | 31.851852 | 108 | 0.608837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.06814 |
63d33b671fe35061f0300b274a32b66e28d0a7ac | 80 | py | Python | pypi_starter/__init__.py | wuhaifengdhu/pypi-starter | 3ccb80dd9490f9d65b986350d82f9a20743af17f | [
"Apache-2.0"
] | null | null | null | pypi_starter/__init__.py | wuhaifengdhu/pypi-starter | 3ccb80dd9490f9d65b986350d82f9a20743af17f | [
"Apache-2.0"
] | null | null | null | pypi_starter/__init__.py | wuhaifengdhu/pypi-starter | 3ccb80dd9490f9d65b986350d82f9a20743af17f | [
"Apache-2.0"
] | null | null | null | """
Your application
"""
from submodule.main import *
from main import *
| 11.428571 | 29 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.325 |
63d512d7adf908df92c2f691160d882344e7b9d4 | 4,190 | py | Python | pocx/funcs/fofa.py | antx-code/pocx | c11d3a2bed598f21a32c29ac2b27e098e9dede96 | [
"MIT"
] | 9 | 2022-03-11T01:55:23.000Z | 2022-03-26T03:10:53.000Z | pocx/funcs/fofa.py | antx-code/pocx | c11d3a2bed598f21a32c29ac2b27e098e9dede96 | [
"MIT"
] | null | null | null | pocx/funcs/fofa.py | antx-code/pocx | c11d3a2bed598f21a32c29ac2b27e098e9dede96 | [
"MIT"
] | 1 | 2022-03-26T03:10:56.000Z | 2022-03-26T03:10:56.000Z | import httpx
import json
import base64
from loguru import logger
import urllib3
import ssl
try:
ssl_context = httpx.create_ssl_context()
except:
ssl_context = ssl.create_default_context()
ssl_context.options ^= ssl.OP_NO_TLSv1 # Enable TLS 1.0 back
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestW... | 30.362319 | 139 | 0.582816 | 3,807 | 0.908592 | 0 | 0 | 3,753 | 0.895704 | 0 | 0 | 1,721 | 0.41074 |
63d54e098e0531437161c2fb674cb796cbee3e48 | 4,783 | py | Python | check_ec2_events.py | chartbeat/check_ec2_events | 3c72752dcb2908ec8c7c4eaf7e5788c6f88ec5aa | [
"Apache-2.0"
] | 2 | 2015-11-05T11:38:09.000Z | 2019-04-21T12:22:30.000Z | check_ec2_events.py | chartbeat/check_ec2_events | 3c72752dcb2908ec8c7c4eaf7e5788c6f88ec5aa | [
"Apache-2.0"
] | null | null | null | check_ec2_events.py | chartbeat/check_ec2_events | 3c72752dcb2908ec8c7c4eaf7e5788c6f88ec5aa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Author: Justin Lintz
# Copyright 2013 Chartbeat
# http://www.chartbeat.com
#
# Nagios check to alert on any retiring instances or
# instances that need rebooting
#
import getopt
import sys
import re
from datetime import datetime
from datetime import timedelta
from boto.ec2 import connect_to_... | 30.081761 | 165 | 0.605896 | 2,588 | 0.541083 | 0 | 0 | 0 | 0 | 0 | 0 | 1,443 | 0.301693 |
63d5eb9388610a04ecb9974176a0d336a0098ead | 7,917 | py | Python | chc/api/CFunctionCandidateContract.py | Databean/CodeHawk-C | 98720753beb51e0bf5105f8f6838618292fbf55c | [
"MIT"
] | 10 | 2020-08-17T15:35:55.000Z | 2022-03-23T14:39:57.000Z | chc/api/CFunctionCandidateContract.py | kestreltechnology/CodeHawk-C | db0fa92fa630cd919f29021d464533f0e7170fed | [
"MIT"
] | 31 | 2020-07-17T05:45:43.000Z | 2021-05-29T04:49:49.000Z | chc/api/CFunctionCandidateContract.py | kestreltechnology/CodeHawk-C | db0fa92fa630cd919f29021d464533f0e7170fed | [
"MIT"
] | 3 | 2020-06-13T05:32:34.000Z | 2021-09-16T02:31:39.000Z | # ------------------------------------------------------------------------------
# CodeHawk C Analyzer
# Author: Henny Sipma
# ------------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2017-2020 Kestrel Technology LLC
#
# Permission is hereby granted, free ... | 42.336898 | 88 | 0.619679 | 6,459 | 0.815839 | 0 | 0 | 0 | 0 | 0 | 0 | 2,256 | 0.284956 |
63d6bfe4aff3255cd21a08c6e08c2856786259e9 | 1,496 | py | Python | amplify/ext/phpfpm/util/version.py | dp92987/nginx-amplify-agent | 1b2eed6eab52a82f35974928d75044451b4bedaf | [
"BSD-2-Clause"
] | 308 | 2015-11-17T13:15:33.000Z | 2022-03-24T12:03:40.000Z | amplify/ext/phpfpm/util/version.py | dp92987/nginx-amplify-agent | 1b2eed6eab52a82f35974928d75044451b4bedaf | [
"BSD-2-Clause"
] | 211 | 2015-11-16T15:27:41.000Z | 2022-03-28T16:20:15.000Z | amplify/ext/phpfpm/util/version.py | dp92987/nginx-amplify-agent | 1b2eed6eab52a82f35974928d75044451b4bedaf | [
"BSD-2-Clause"
] | 80 | 2015-11-16T18:20:30.000Z | 2022-03-02T12:47:56.000Z | # -*- coding: utf-8 -*-
from amplify.agent.common.context import context
from amplify.agent.common.util import subp
__author__ = "Grant Hulegaard"
__copyright__ = "Copyright (C) Nginx, Inc. All rights reserved."
__license__ = ""
__maintainer__ = "Grant Hulegaard"
__email__ = "grant.hulegaard@nginx.com"
VERSION_CMD ... | 31.829787 | 76 | 0.590241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 633 | 0.423128 |
891d4ed726e77fd986edee372d297804eaad447d | 385 | py | Python | protera_stability/engine/__init__.py | stepp1/protera-stability | 62f70af00b9475a0b0aeba39fa6ae57f0bb25b34 | [
"MIT"
] | 1 | 2021-11-05T02:14:31.000Z | 2021-11-05T02:14:31.000Z | protera_stability/engine/__init__.py | stepp1/protera-stability | 62f70af00b9475a0b0aeba39fa6ae57f0bb25b34 | [
"MIT"
] | null | null | null | protera_stability/engine/__init__.py | stepp1/protera-stability | 62f70af00b9475a0b0aeba39fa6ae57f0bb25b34 | [
"MIT"
] | null | null | null | from protera_stability.engine.default import get_cfg, setup_train, DefaultTrainer
from protera_stability.engine.lightning_train import (
default_cbs,
DataModule,
LitProteins,
TrainingPl,
)
__all__ = [
"DataModule",
"DefaultTrainer",
"LitProteins",
"TrainingPl",
"default_cbs",
"g... | 19.25 | 81 | 0.698701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.228571 |
891d65158f17bd525585b5367fe4ef83f22f5f0b | 416 | py | Python | 1122.py | wilbertgeng/LeetCode_exercise | f00c08e0d28ffa88d61d4262c6d1f49f1fa91ebc | [
"MIT"
] | null | null | null | 1122.py | wilbertgeng/LeetCode_exercise | f00c08e0d28ffa88d61d4262c6d1f49f1fa91ebc | [
"MIT"
] | null | null | null | 1122.py | wilbertgeng/LeetCode_exercise | f00c08e0d28ffa88d61d4262c6d1f49f1fa91ebc | [
"MIT"
] | null | null | null | """1122. Relative Sort Array"""
class Solution(object):
def relativeSortArray(self, arr1, arr2):
"""
:type arr1: List[int]
:type arr2: List[int]
:rtype: List[int]
"""
####
pos = {num:i for i, num in enumerate(arr2)}
return sorted(arr1, key=lambda x: p... | 26 | 62 | 0.526442 | 382 | 0.918269 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.336538 |
891f7d296bd8553fa96b43de039756b437874319 | 1,037 | py | Python | src/merge_sort.py | Gsllchb/4interview-python | efec766f276039cb3766f5068c7914f31ac74aca | [
"MIT"
] | null | null | null | src/merge_sort.py | Gsllchb/4interview-python | efec766f276039cb3766f5068c7914f31ac74aca | [
"MIT"
] | null | null | null | src/merge_sort.py | Gsllchb/4interview-python | efec766f276039cb3766f5068c7914f31ac74aca | [
"MIT"
] | null | null | null | import itertools
_THRESHOLD = 64
def merge_sort(arr, lo, hi):
if hi - lo <= _THRESHOLD:
_insert_sort(arr, lo, hi)
return
mi = (lo + hi) // 2
merge_sort(arr, lo, mi)
merge_sort(arr, mi, hi)
_merge(arr, lo, mi, hi)
def _insert_sort(arr, lo, hi):
for i in range(lo, hi):
... | 21.163265 | 55 | 0.493732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.009643 |
891fe67e35e33d36e5cc37b7ff0cf9fe1518755c | 59,661 | py | Python | code/client/munkilib/adobeutils.py | jlrgraham/munki | 9e0deb754083c671f8005f05e7ec44fbe001b790 | [
"Apache-2.0"
] | null | null | null | code/client/munkilib/adobeutils.py | jlrgraham/munki | 9e0deb754083c671f8005f05e7ec44fbe001b790 | [
"Apache-2.0"
] | null | null | null | code/client/munkilib/adobeutils.py | jlrgraham/munki | 9e0deb754083c671f8005f05e7ec44fbe001b790 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# encoding: utf-8
"""
adobeutils.py
Utilities to enable munki to install/uninstall Adobe CS3/CS4/CS5 products
using the CS3/CS4/CS5 Deployment Toolkits.
"""
# Copyright 2009-2014 Greg Neagle.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | 40.752049 | 80 | 0.593755 | 3,553 | 0.059553 | 0 | 0 | 0 | 0 | 0 | 0 | 18,404 | 0.308476 |
8921c8342da583a53fe7e6baf0b2a3160c459d31 | 52 | py | Python | examples/fore.py | LyQuid12/colorgb | 78addcf85f0e750ca45a7955e5008f7a8a946281 | [
"MIT"
] | 1 | 2022-01-26T10:26:24.000Z | 2022-01-26T10:26:24.000Z | examples/fore.py | LyQuid12/colorgb | 78addcf85f0e750ca45a7955e5008f7a8a946281 | [
"MIT"
] | null | null | null | examples/fore.py | LyQuid12/colorgb | 78addcf85f0e750ca45a7955e5008f7a8a946281 | [
"MIT"
] | null | null | null | import colorgb
print(colorgb.fore("Hi!", "green"))
| 13 | 35 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.230769 |
892211146079eeb490107a06692355e20fadb9be | 1,513 | py | Python | prac/20200310/pygame_intro.py | yaroslavKonst/PythonPracticum | 2215b169252b6d429f1f38e5f2295d1435256785 | [
"Apache-2.0"
] | 2 | 2020-04-10T22:09:19.000Z | 2020-04-10T22:09:24.000Z | prac/20200310/pygame_intro.py | yaroslavKonst/PythonPracticum | 2215b169252b6d429f1f38e5f2295d1435256785 | [
"Apache-2.0"
] | null | null | null | prac/20200310/pygame_intro.py | yaroslavKonst/PythonPracticum | 2215b169252b6d429f1f38e5f2295d1435256785 | [
"Apache-2.0"
] | null | null | null | import sys, pygame
pygame.init()
world_size = width, height = 10000, 9000
speed = [2, 2]
DX, DY = 0.1, 0.1
position = [width / 2, height / 2]
screen_size = int(DX * width), int(DY * height)
black = 0, 0, 0
screen = pygame.display.set_mode(screen_size)
ball = pygame.image.load("intro_ball.gif")
ballrect = ball.get_r... | 29.666667 | 127 | 0.574356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.010575 |
8922c6587dd08bd4b2be1a2477201fbaf0a8a712 | 18,808 | py | Python | gh.py | old-beans/isaac-gh-discord-bot | 4c0d704475e4e9b546e8359390f79ea4959fc2a9 | [
"MIT"
] | 2 | 2020-09-22T02:01:52.000Z | 2021-03-28T05:56:59.000Z | gh.py | old-beans/gh-isaacbot | 4c0d704475e4e9b546e8359390f79ea4959fc2a9 | [
"MIT"
] | null | null | null | gh.py | old-beans/gh-isaacbot | 4c0d704475e4e9b546e8359390f79ea4959fc2a9 | [
"MIT"
] | null | null | null | #! python
from airtable import Airtable
import discord, fstrings, re, random, os
from datetime import datetime
# datetime object containing current date and time
AIRTABLE_API_KEY = os.getenv('AIRTABLE_API_KEY') # stored in .env
AIRTABLE_BASE_KEY = os.getenv('AIRTABLE_BASE_KEY') # stored in .env
CAMPAIGN_NAME = os.g... | 41.245614 | 129 | 0.621969 | 17,729 | 0.942631 | 0 | 0 | 0 | 0 | 0 | 0 | 5,484 | 0.291578 |
892320f63f5d2a0ca42e3afab52c7bbe19958d5f | 13,620 | py | Python | bilbyweb/utility/job.py | ASVO-TAO/SS18B-PLasky | a3c13b05f894fb8cebd5be381c170b8a78adb81a | [
"MIT"
] | null | null | null | bilbyweb/utility/job.py | ASVO-TAO/SS18B-PLasky | a3c13b05f894fb8cebd5be381c170b8a78adb81a | [
"MIT"
] | null | null | null | bilbyweb/utility/job.py | ASVO-TAO/SS18B-PLasky | a3c13b05f894fb8cebd5be381c170b8a78adb81a | [
"MIT"
] | null | null | null | """
Distributed under the MIT License. See LICENSE.txt for more info.
"""
import json
import uuid
from ..utility.display_names import (
OPEN_DATA,
SIMULATED_DATA,
BINARY_BLACK_HOLE,
DYNESTY,
NESTLE,
EMCEE,
FIXED,
UNIFORM,
SKIP,
SUBMITTED,
QUEUED,
IN_PROGRESS,
DRAFT,... | 33.880597 | 114 | 0.602423 | 9,953 | 0.730764 | 0 | 0 | 0 | 0 | 0 | 0 | 3,683 | 0.270411 |
89287107bf8b41baf6a2e18560e187efeb94ad6b | 574 | py | Python | activities/migrations/0003_alter_currentactivitie_importance_level.py | CiganOliviu/MyWorkflow | 85951c2e8ebdb3e970fcc0b3e24bd319360b852a | [
"Apache-2.0"
] | null | null | null | activities/migrations/0003_alter_currentactivitie_importance_level.py | CiganOliviu/MyWorkflow | 85951c2e8ebdb3e970fcc0b3e24bd319360b852a | [
"Apache-2.0"
] | null | null | null | activities/migrations/0003_alter_currentactivitie_importance_level.py | CiganOliviu/MyWorkflow | 85951c2e8ebdb3e970fcc0b3e24bd319360b852a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.5 on 2021-07-04 19:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('activities', '0002_rename_currentactivity_currentactivitie'),
]
operations = [
migrations.AlterField(
model_name='currentactivit... | 30.210526 | 194 | 0.642857 | 481 | 0.837979 | 0 | 0 | 0 | 0 | 0 | 0 | 241 | 0.419861 |
8928910327e7aadda89a6e0cb4b8070d90c7134b | 1,209 | py | Python | src/collector/wechat/wechat_utils.py | AI-xiaofour/2c | 4aa40eb18868ea5eccf7b09b7e64939fb505a58c | [
"Apache-2.0"
] | null | null | null | src/collector/wechat/wechat_utils.py | AI-xiaofour/2c | 4aa40eb18868ea5eccf7b09b7e64939fb505a58c | [
"Apache-2.0"
] | null | null | null | src/collector/wechat/wechat_utils.py | AI-xiaofour/2c | 4aa40eb18868ea5eccf7b09b7e64939fb505a58c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Created by howie.hu at 2021/4/9.
Description：微信相关通用函数
Changelog: all notable changes to this file will be documented
"""
from ruia import Request
from src.config import Config
from src.databases import MongodbManager
async def get_wf_url():
"""
获取 wechat-feeds 资源链接
... | 27.477273 | 88 | 0.682382 | 0 | 0 | 0 | 0 | 0 | 0 | 372 | 0.295473 | 613 | 0.486894 |
892b0a91946a1df7a1b4680a474c70df84c8c932 | 857 | py | Python | tests/v2/test_team_response_attributes.py | anbnyc/datadog-api-client-python | 162bd0c6f2523a809aec08a3197e85dc74b78c21 | [
"Apache-2.0"
] | null | null | null | tests/v2/test_team_response_attributes.py | anbnyc/datadog-api-client-python | 162bd0c6f2523a809aec08a3197e85dc74b78c21 | [
"Apache-2.0"
] | null | null | null | tests/v2/test_team_response_attributes.py | anbnyc/datadog-api-client-python | 162bd0c6f2523a809aec08a3197e85dc74b78c21 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
import sys
import unittest
import datadog_api_client.v2
from datadog... | 25.969697 | 108 | 0.733956 | 409 | 0.477246 | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 0.525088 |
892b69c07a92d99e6dd2a8d72d712a862b76cd1f | 442 | py | Python | tests/unit/test_utility_item.py | luiscape/hdxscraper-worldpop | a94ea98d62645a0f2f508f227a642e7168e7281a | [
"MIT"
] | null | null | null | tests/unit/test_utility_item.py | luiscape/hdxscraper-worldpop | a94ea98d62645a0f2f508f227a642e7168e7281a | [
"MIT"
] | 2 | 2016-03-08T15:36:27.000Z | 2016-03-08T15:36:52.000Z | tests/unit/test_utility_item.py | luiscape/hdxscraper-worldpop | a94ea98d62645a0f2f508f227a642e7168e7281a | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Unit tests for the item() utility function.
'''
import unittest
from collector.utilities.item import item
class TestUtilityItem(unittest.TestCase):
'''
Tests for the item() utility function.
'''
def test_item_returns_correct_type(self):
'''
Tests that the... | 21.047619 | 66 | 0.678733 | 286 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.515837 |
892b8c8a1447b39b4b49a43ec0b4a891164798d6 | 1,696 | py | Python | open/core/scripts/writeup_profile_prompt_generate_view.py | awesome-archive/open | 12fb6267c7d1a7e1f1c08f6112073bb0739e7ed9 | [
"MIT"
] | 105 | 2019-06-01T08:34:47.000Z | 2022-03-15T11:48:36.000Z | open/core/scripts/writeup_profile_prompt_generate_view.py | awesome-archive/open | 12fb6267c7d1a7e1f1c08f6112073bb0739e7ed9 | [
"MIT"
] | 111 | 2019-06-04T15:34:14.000Z | 2022-03-12T21:03:20.000Z | open/core/scripts/writeup_profile_prompt_generate_view.py | awesome-archive/open | 12fb6267c7d1a7e1f1c08f6112073bb0739e7ed9 | [
"MIT"
] | 26 | 2019-09-04T06:06:12.000Z | 2022-01-03T03:40:11.000Z | # flake8: noqa
import json
import time
import requests
from django.conf import settings
from websocket import create_connection
from open.core.scripts.swarm_ml_services import get_random_prompt
from open.core.writeup.constants import TEXT_GENERATION_URL
"""
this script's design was to compare performance behind djan... | 28.266667 | 103 | 0.723467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 732 | 0.431604 |
892bb5ac486bc86c9bf63c89f4326c4ac07e5e22 | 1,031 | py | Python | utils/whatsthespotprice.py | New-Zealand-Zero/PowerMaker | df1866a838cb4b0bd1629417bf5f5111f60f1cff | [
"Apache-2.0"
] | null | null | null | utils/whatsthespotprice.py | New-Zealand-Zero/PowerMaker | df1866a838cb4b0bd1629417bf5f5111f60f1cff | [
"Apache-2.0"
] | null | null | null | utils/whatsthespotprice.py | New-Zealand-Zero/PowerMaker | df1866a838cb4b0bd1629417bf5f5111f60f1cff | [
"Apache-2.0"
] | 2 | 2021-12-14T01:01:20.000Z | 2021-12-21T07:48:50.000Z | import http.client, urllib.request, urllib.parse, urllib.error, base64, time, json, ast, datetime, math, keys
import logging
logging.basicConfig(filename='io.log', level=logging.INFO, format='%(asctime)s %(message)s')
headers = {
# Request headers
'Ocp-Apim-Subscription-Key': keys.OCP_APIM_SUBSCRIPTION_KEY,
... | 29.457143 | 109 | 0.653734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.28128 |
892d73c842c7dab435a1f0f69bb5c20db75d44dd | 518 | py | Python | gen/argo/events/client/__about__.py | argoproj-labs/argo-events-client-python | 3d6e3dffca4a12a490c2963f4ac90c8894948bb5 | [
"Apache-2.0"
] | null | null | null | gen/argo/events/client/__about__.py | argoproj-labs/argo-events-client-python | 3d6e3dffca4a12a490c2963f4ac90c8894948bb5 | [
"Apache-2.0"
] | null | null | null | gen/argo/events/client/__about__.py | argoproj-labs/argo-events-client-python | 3d6e3dffca4a12a490c2963f4ac90c8894948bb5 | [
"Apache-2.0"
] | null | null | null | """About this package."""
__all__ = [
"__title__",
"__summary__",
"__uri__",
"__version__",
"__author__",
"__email__",
"__license__",
"__copyright__",
]
__title__ = "argo-events"
__summary__ = "Community Maintained Python client for Argo Events"
__uri__ = "https://github.com/argoproj-l... | 20.72 | 70 | 0.685328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 318 | 0.6139 |
892ea50cc3da67caa05d44561bab96944c809088 | 2,465 | py | Python | mfctracker/management/commands/syncusers.py | kevans91/mfctracker | c86f1538229df126081331edef3bfd19c9ef1345 | [
"BSD-2-Clause"
] | 3 | 2016-10-19T05:01:31.000Z | 2019-06-06T18:20:11.000Z | mfctracker/management/commands/syncusers.py | kevans91/mfctracker | c86f1538229df126081331edef3bfd19c9ef1345 | [
"BSD-2-Clause"
] | 3 | 2017-11-28T17:31:58.000Z | 2021-04-12T02:37:27.000Z | mfctracker/management/commands/syncusers.py | kevans91/mfctracker | c86f1538229df126081331edef3bfd19c9ef1345 | [
"BSD-2-Clause"
] | 1 | 2020-06-26T14:05:53.000Z | 2020-06-26T14:05:53.000Z | # Copyright (c) 2016-2019 Oleksandr Tymoshenko <gonzo@bluezbox.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# ... | 52.446809 | 108 | 0.723732 | 841 | 0.341176 | 0 | 0 | 0 | 0 | 0 | 0 | 1,443 | 0.585396 |
892ff412cb0abfd15e5fd8375b604f4b8bd19d90 | 399 | py | Python | Exercises/015.py | GuilhermeRds1921/Python3-Guanabara | 24cd85b076e1074a5602e54c420bcc8e70cc1854 | [
"MIT"
] | null | null | null | Exercises/015.py | GuilhermeRds1921/Python3-Guanabara | 24cd85b076e1074a5602e54c420bcc8e70cc1854 | [
"MIT"
] | null | null | null | Exercises/015.py | GuilhermeRds1921/Python3-Guanabara | 24cd85b076e1074a5602e54c420bcc8e70cc1854 | [
"MIT"
] | null | null | null | # Escreva um programa que pergunte a quantidade de Km
# percorridos por um carro alugado e a quantidade de dias pelos
# quais ele foi alugado. Calcule o preço a pagar, sabendo que o carro
# custa R$60 por dia e R$0.15 por Km rodado.
km = float(input("Quantos km percorreu?: "))
dia = int(input("Quantos dias ele foi alu... | 49.875 | 69 | 0.704261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 321 | 0.800499 |
893019fb8b63370b0487a73ea074042709b31d91 | 3,241 | py | Python | utils/make_package.py | j123123/llilc | 9d6a522deb6b0769e449f27a087a9d3a7ab2a255 | [
"MIT"
] | 1,712 | 2015-04-13T22:16:59.000Z | 2022-03-17T18:44:42.000Z | utils/make_package.py | j123123/llilc | 9d6a522deb6b0769e449f27a087a9d3a7ab2a255 | [
"MIT"
] | 770 | 2015-04-13T22:10:20.000Z | 2022-03-15T01:30:06.000Z | utils/make_package.py | j123123/llilc | 9d6a522deb6b0769e449f27a087a9d3a7ab2a255 | [
"MIT"
] | 206 | 2015-04-13T22:17:19.000Z | 2022-02-19T12:30:19.000Z | #!/usr/bin/env python
import sys
import argparse
import os
import subprocess
import platform
import io
import string
try:
# For Python >= 3.0
from urllib.request import urlopen
except ImportError:
# For Python < 3.0
from urllib2 import urlopen
import shutil
import stat
def run(args):
nugetFolder = ... | 30.575472 | 81 | 0.650108 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,029 | 0.317299 |
8932628f1e0bc2d8c1fc917f3837c4fdac64e6f9 | 192 | py | Python | wireapp/wireapp/doctype/mpesa_payment/mpesa_payment.py | saleemdev/wireapp | 7d39d07391ddad23539cfdf38369082f708d7294 | [
"MIT"
] | null | null | null | wireapp/wireapp/doctype/mpesa_payment/mpesa_payment.py | saleemdev/wireapp | 7d39d07391ddad23539cfdf38369082f708d7294 | [
"MIT"
] | null | null | null | wireapp/wireapp/doctype/mpesa_payment/mpesa_payment.py | saleemdev/wireapp | 7d39d07391ddad23539cfdf38369082f708d7294 | [
"MIT"
] | null | null | null | # Copyright (c) 2021, Salim and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
class MPESAPayment(Document):
pass
| 21.333333 | 49 | 0.791667 | 35 | 0.182292 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.5625 |
8932d8f09ea333a4cd978f80748034ddb383b8b6 | 3,292 | py | Python | Adventure Game.py | CodeMaster7000/Adventure-Game | 7ec5e39315f342d7a4cf442caa1b0c0947bb51b6 | [
"MIT"
] | null | null | null | Adventure Game.py | CodeMaster7000/Adventure-Game | 7ec5e39315f342d7a4cf442caa1b0c0947bb51b6 | [
"MIT"
] | null | null | null | Adventure Game.py | CodeMaster7000/Adventure-Game | 7ec5e39315f342d7a4cf442caa1b0c0947bb51b6 | [
"MIT"
] | null | null | null | import time
import random
def main():
print("You are trying to find your way to the centre of a maze where there is a pot of gold!")
time.sleep(2)
print("What you don't know is that this is a dangerous maze with traps and hazards.")
time.sleep(2)
start = input ("Do you want to enter the maze? (... | 43.315789 | 156 | 0.526428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,704 | 0.517618 |
89333b9df818e24672d6ad9bcfb169b6126774e6 | 2,081 | py | Python | jcpdstools/view/mainwidget.py | SHDShim/JCPDSTools | 4a4c1bd22a3f71c3285b5877d5d22b2702b7550c | [
"Apache-2.0"
] | 3 | 2020-08-06T09:26:00.000Z | 2021-08-10T14:13:58.000Z | jcpdstools/view/mainwidget.py | SHDShim/JCPDSTools | 4a4c1bd22a3f71c3285b5877d5d22b2702b7550c | [
"Apache-2.0"
] | null | null | null | jcpdstools/view/mainwidget.py | SHDShim/JCPDSTools | 4a4c1bd22a3f71c3285b5877d5d22b2702b7550c | [
"Apache-2.0"
] | null | null | null | import os
from PyQt5 import QtWidgets
from .qtd import Ui_MainWindow
from version import __version__
from utils import SpinBoxFixStyle
class MainWindow(QtWidgets.QMainWindow, Ui_MainWindow):
"""
Main window
"""
def __init__(self, parent=None):
# initialization of the superclass
super(... | 42.469388 | 81 | 0.739068 | 1,943 | 0.933686 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0.084575 |
8933583a90eda099c254b38c7fb555a1d3d870bb | 4,622 | py | Python | tests/unit_tests/test_tethys_services/test_admin.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 79 | 2015-10-05T13:13:28.000Z | 2022-02-01T12:30:33.000Z | tests/unit_tests/test_tethys_services/test_admin.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 542 | 2015-08-12T22:11:32.000Z | 2022-03-29T22:18:08.000Z | tests/unit_tests/test_tethys_services/test_admin.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 71 | 2016-01-16T01:03:41.000Z | 2022-03-31T17:55:54.000Z | import unittest
from unittest import mock
from django.utils.translation import ugettext_lazy as _
from tethys_services.models import DatasetService, SpatialDatasetService, WebProcessingService, PersistentStoreService
from tethys_services.admin import DatasetServiceForm, SpatialDatasetServiceForm, WebProcessingServiceF... | 43.603774 | 118 | 0.720251 | 4,152 | 0.898312 | 0 | 0 | 0 | 0 | 0 | 0 | 548 | 0.118563 |