hexsha stringlengths 40 40 | size int64 3 1.03M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 972 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 972 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 972 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 3 1.03M | avg_line_length float64 1.13 941k | max_line_length int64 2 941k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
db6290b8e8faaa6a4872ab53de8a80eed6f7d72f | 6,057 | py | Python | nettests/launch_nodes.py | harrywong/evt | 95985384619e0f5ff4021e8838d421ac4b4b946d | [
"BSD-3-Clause"
] | 1 | 2019-04-30T13:28:42.000Z | 2019-04-30T13:28:42.000Z | nettests/launch_nodes.py | harrywong/evt | 95985384619e0f5ff4021e8838d421ac4b4b946d | [
"BSD-3-Clause"
] | null | null | null | nettests/launch_nodes.py | harrywong/evt | 95985384619e0f5ff4021e8838d421ac4b4b946d | [
"BSD-3-Clause"
] | null | null | null | import json
import os
import sys
import time
import click
import docker
class command():
"""docstring for command."""
def __init__(self, cmd):
self.content = cmd
def add_option(self, option):
self.content += ' '
self.content += option
def get_arguments(self):
return... | 36.487952 | 118 | 0.490507 |
d2e082acab7754c5d1f35daccedb3f8c04f6a7b3 | 5,693 | py | Python | scripts/main.py | harrivle/Mirai | ea2d4839f1f8b9f881798b819b2192ce2795bd5d | [
"MIT"
] | 37 | 2021-01-28T06:00:34.000Z | 2022-03-29T21:14:12.000Z | scripts/main.py | NkwamPhilip/Mirai | 70413de690da36c5878e2e6006711476e166bb1d | [
"MIT"
] | null | null | null | scripts/main.py | NkwamPhilip/Mirai | 70413de690da36c5878e2e6006711476e166bb1d | [
"MIT"
] | 14 | 2021-02-02T09:42:18.000Z | 2022-03-23T00:36:41.000Z | import pickle
from os.path import dirname, realpath
import sys
import git
sys.path.append(dirname(dirname(realpath(__file__))))
import torch
import onconet.datasets.factory as dataset_factory
import onconet.models.factory as model_factory
from onconet.learn import train
import onconet.transformers.factory as transforme... | 39.262069 | 139 | 0.64711 |
5fd697d0a8702558d62ea13300b2ef20b5173732 | 1,126 | py | Python | app/admin/forms.py | chenke91/ihaveablog | 64000723589d3f5a074bd09f045cb5d6c3daf6dd | [
"MIT"
] | null | null | null | app/admin/forms.py | chenke91/ihaveablog | 64000723589d3f5a074bd09f045cb5d6c3daf6dd | [
"MIT"
] | null | null | null | app/admin/forms.py | chenke91/ihaveablog | 64000723589d3f5a074bd09f045cb5d6c3daf6dd | [
"MIT"
] | null | null | null | from flask.ext.wtf import Form
from wtforms import StringField, SubmitField, TextAreaField, SelectField, FileField, SubmitField
from wtforms.validators import Required, Length, Email
from app import db
from app.models import Category
def get_category():
categories = db.session.query(Category.id, Category.name).all... | 40.214286 | 96 | 0.71048 |
310beb7556e620e2e20fa143acb610fb6b182456 | 3,316 | py | Python | app/app/settings.py | Moudreaux/recipe-app-api | e70489b9afa0129b8d2560961ca4aea4f14bc11f | [
"MIT"
] | null | null | null | app/app/settings.py | Moudreaux/recipe-app-api | e70489b9afa0129b8d2560961ca4aea4f14bc11f | [
"MIT"
] | null | null | null | app/app/settings.py | Moudreaux/recipe-app-api | e70489b9afa0129b8d2560961ca4aea4f14bc11f | [
"MIT"
] | null | null | null | """
Django settings for app project.
Generated by 'django-admin startproject' using Django 2.1.11.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
# Bu... | 25.121212 | 91 | 0.686671 |
917729824d43f7037894f31d16d4b0fbcbb01d54 | 1,505 | py | Python | cumulusci/tasks/github/tag.py | jdominiczak/CumulusCI | f706c1906f9eb6d604c571a9dd16f5d0ed38599f | [
"BSD-3-Clause"
] | 1 | 2020-12-04T10:29:31.000Z | 2020-12-04T10:29:31.000Z | cumulusci/tasks/github/tag.py | jdominiczak/CumulusCI | f706c1906f9eb6d604c571a9dd16f5d0ed38599f | [
"BSD-3-Clause"
] | 157 | 2021-07-07T19:06:58.000Z | 2022-03-30T19:08:27.000Z | cumulusci/tasks/github/tag.py | jdominiczak/CumulusCI | f706c1906f9eb6d604c571a9dd16f5d0ed38599f | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime
import github3.exceptions
from cumulusci.core.exceptions import GithubException
from cumulusci.tasks.github.base import BaseGithubTask
class CloneTag(BaseGithubTask):
task_options = {
"src_tag": {
"description": "The source tag to clone. Ex: beta/1.0-Beta_2",
... | 30.1 | 92 | 0.546844 |
8a90634e34c67ada1ddddb90b45b4a77e096b0f2 | 1,971 | py | Python | bin/install.py | JulienPalard/cloudmesh | 1759b88daef3a13917492d028fdabe08f03ca996 | [
"Apache-2.0"
] | null | null | null | bin/install.py | JulienPalard/cloudmesh | 1759b88daef3a13917492d028fdabe08f03ca996 | [
"Apache-2.0"
] | 4 | 2021-06-08T20:20:08.000Z | 2022-03-11T23:30:22.000Z | bin/install.py | JulienPalard/cloudmesh | 1759b88daef3a13917492d028fdabe08f03ca996 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
"""
Usage:
cm-install -h | --help
cm-install --version
cm-install create OS
cm-install list
cm-install veewee
Arguments:
OS The operating system. [default: ubuntu]
Options:
Description:
start the install shell with
cm-install
cm-install> vagrant create ... | 20.319588 | 85 | 0.616438 |
0a524cb2046fc91eddfbf76c9538b210b0c97002 | 242 | py | Python | manage.py | Gomax-07/news07 | 063124b818543d26cb6e1e7fddf7bf81d9c59057 | [
"MIT"
] | null | null | null | manage.py | Gomax-07/news07 | 063124b818543d26cb6e1e7fddf7bf81d9c59057 | [
"MIT"
] | null | null | null | manage.py | Gomax-07/news07 | 063124b818543d26cb6e1e7fddf7bf81d9c59057 | [
"MIT"
] | null | null | null | from app import create_app
from flask_script import Manager,Server
#creating app instance
app = create_app('development')
manager = Manager(app)
manager.add_command('server', Server)
if __name__ == '__main__':
manager.run()
| 17.285714 | 39 | 0.727273 |
fc3a7b45bd26c74e52e47af4a918eaca1f512c2d | 1,268 | py | Python | populationsim/tests/test_tracing.py | psrc/populationsim | 91615025726175a99c94963188ac38c045570d26 | [
"BSD-3-Clause"
] | 1 | 2019-06-12T21:35:39.000Z | 2019-06-12T21:35:39.000Z | populationsim/tests/test_tracing.py | BayAreaMetro/populationsim | 8307c5a53a4d84994a224058a201b8c4f42543b8 | [
"BSD-3-Clause"
] | 4 | 2018-11-06T20:54:46.000Z | 2018-11-06T21:01:52.000Z | populationsim/tests/test_tracing.py | BayAreaMetro/populationsim | 8307c5a53a4d84994a224058a201b8c4f42543b8 | [
"BSD-3-Clause"
] | null | null | null | # ActivitySim
# See full license in LICENSE.txt.
import os.path
import logging
import pytest
import orca
import pandas as pd
import activitysim.core.tracing as tracing
def add_canonical_dirs():
configs_dir = os.path.join(os.path.dirname(__file__), 'configs')
orca.add_injectable("configs_dir", configs_dir... | 22.642857 | 82 | 0.712145 |
40e8c588c248af2891aca527b6ac7af2360a9834 | 4,174 | py | Python | Apache-Beam-Dataflow-Streaming-Pipeline/Dataflow-Streaming-Pubsub-to-BQTable.py | vibwipro/GCP-Python | f97741efe0b0a96d2c69279d3cf6c404f4f0ca20 | [
"MIT"
] | null | null | null | Apache-Beam-Dataflow-Streaming-Pipeline/Dataflow-Streaming-Pubsub-to-BQTable.py | vibwipro/GCP-Python | f97741efe0b0a96d2c69279d3cf6c404f4f0ca20 | [
"MIT"
] | null | null | null | Apache-Beam-Dataflow-Streaming-Pipeline/Dataflow-Streaming-Pubsub-to-BQTable.py | vibwipro/GCP-Python | f97741efe0b0a96d2c69279d3cf6c404f4f0ca20 | [
"MIT"
] | null | null | null |
#------------Import Lib-----------------------#
import apache_beam as beam
from apache_beam import window
from apache_beam.options.pipeline_options import PipelineOptions, StandardOptions
import os, sys, time
import argparse
import logging
from apache_beam.options.pipeline_options import SetupOptions
from dat... | 45.369565 | 500 | 0.602779 |
bc56d7e072ed6fb255c5d1193466c747235867fc | 3,093 | py | Python | isaactest/tests/numeric_q_incorrect_value.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | null | null | null | isaactest/tests/numeric_q_incorrect_value.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | 1 | 2016-01-15T11:28:06.000Z | 2016-01-25T17:09:18.000Z | isaactest/tests/numeric_q_incorrect_value.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | 1 | 2019-05-14T16:53:49.000Z | 2019-05-14T16:53:49.000Z | import time
from ..utils.log import log, INFO, ERROR, PASS
from ..utils.isaac import answer_numeric_q, open_accordion_section
from ..utils.i_selenium import assert_tab, image_div
from ..utils.i_selenium import wait_for_xpath_element
from ..tests import TestWithDependency
from selenium.common.exceptions import TimeoutEx... | 51.55 | 143 | 0.705787 |
42d86b89d7b46dbaaeeaa6ec08dbcfca55d674cf | 755 | py | Python | np/reference/ch2code/record.py | focusunsink/study_python | 322326642db54df8725793d70a95d21ac40b6507 | [
"MIT"
] | null | null | null | np/reference/ch2code/record.py | focusunsink/study_python | 322326642db54df8725793d70a95d21ac40b6507 | [
"MIT"
] | null | null | null | np/reference/ch2code/record.py | focusunsink/study_python | 322326642db54df8725793d70a95d21ac40b6507 | [
"MIT"
] | null | null | null | import numpy as np
# Chapter 2 Beginning with NumPy fundamentals
#
# Demonstrates the NumPy record data type.
#
# Run from the commandline with
#
# python record.py
print "In: t = dtype([('name', numpy.str_, 40), ('numitems', numpy.int32), ('price', numpy.float32)])"
t = np.dtype([('name', np.str_, 40), ('numitems',... | 26.964286 | 102 | 0.617219 |
7844dc96f8ba2da02aa3c07830801e0725f49dea | 599 | py | Python | leonardo_module_gdpr/__init__.py | dresl/leonardo-module-gdpr | 8b5c74d5709dd96d7b45e2f91f90166237cc503b | [
"BSD-3-Clause"
] | 1 | 2019-01-27T23:42:06.000Z | 2019-01-27T23:42:06.000Z | leonardo_module_gdpr/__init__.py | dresl/leonardo-module-gdpr | 8b5c74d5709dd96d7b45e2f91f90166237cc503b | [
"BSD-3-Clause"
] | null | null | null | leonardo_module_gdpr/__init__.py | dresl/leonardo-module-gdpr | 8b5c74d5709dd96d7b45e2f91f90166237cc503b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
default_app_config = 'leonardo_module_gdpr.Config'
class Default(object):
optgroup = 'GDPR'
apps = [
'leonardo_module_gdpr'
]
widgets = [
'leonardo_module_gdpr.widget.g... | 17.617647 | 60 | 0.657763 |
b2b5e41fe792700a9109d11518495711c718ee88 | 5,131 | py | Python | src/infi/storagemodel/vendor/infinidat/predicates/__init__.py | Infinidat/infi.storagemodel | 81740970b5b1c0a691472f2e360d3a6e5c4d0875 | [
"Python-2.0",
"BSD-3-Clause"
] | 6 | 2015-07-29T11:22:36.000Z | 2019-01-22T19:07:42.000Z | src/infi/storagemodel/vendor/infinidat/predicates/__init__.py | Infinidat/infi.storagemodel | 81740970b5b1c0a691472f2e360d3a6e5c4d0875 | [
"Python-2.0",
"BSD-3-Clause"
] | null | null | null | src/infi/storagemodel/vendor/infinidat/predicates/__init__.py | Infinidat/infi.storagemodel | 81740970b5b1c0a691472f2e360d3a6e5c4d0875 | [
"Python-2.0",
"BSD-3-Clause"
] | 3 | 2015-01-05T13:55:38.000Z | 2018-07-07T05:05:36.000Z | from infi.storagemodel.predicates import FiberChannelMappingExists, FiberChannelMappingNotExists
from logging import getLogger
log = getLogger(__name__)
def compare_device_system_and_id(device, system_serial, volume_id):
''' checks if given device is from a specific volume from a specific system '''
from inf... | 50.303922 | 147 | 0.714286 |
677b7b89f53764838bbfe32f803526c0d0b7009f | 2,225 | py | Python | test/visuals/runner.py | ruohoruotsi/coldtype | 13993e5a4fa3f99c6800fed2496bd5a374e4f53f | [
"Apache-2.0"
] | null | null | null | test/visuals/runner.py | ruohoruotsi/coldtype | 13993e5a4fa3f99c6800fed2496bd5a374e4f53f | [
"Apache-2.0"
] | null | null | null | test/visuals/runner.py | ruohoruotsi/coldtype | 13993e5a4fa3f99c6800fed2496bd5a374e4f53f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import os
from coldtype import *
from coldtype.renderer import Renderer
import glfw
all_tests = []
sources = list(Path("test/visuals").glob("test_*.py"))
sources.extend(list(Path("test/visuals").glob("test_*.md")))
for p in sources:
if not p.name.startswith("_"):
all_tests.append(p... | 29.276316 | 88 | 0.576629 |
bc0fc170ae765be681aadab73297915b8fbe2bc4 | 3,799 | py | Python | cloudvolume/provenance.py | SridharJagannathan/cloud-volume | ae4e5d8f245aacf451404e91f75e6da5182ac090 | [
"BSD-3-Clause"
] | 94 | 2017-09-03T16:18:34.000Z | 2022-03-31T14:49:14.000Z | cloudvolume/provenance.py | SridharJagannathan/cloud-volume | ae4e5d8f245aacf451404e91f75e6da5182ac090 | [
"BSD-3-Clause"
] | 378 | 2017-08-30T17:46:45.000Z | 2022-03-31T00:15:04.000Z | cloudvolume/provenance.py | SridharJagannathan/cloud-volume | ae4e5d8f245aacf451404e91f75e6da5182ac090 | [
"BSD-3-Clause"
] | 40 | 2018-03-01T09:12:02.000Z | 2022-02-08T17:57:37.000Z | import python_jsonschema_objects as pjs
import json
import json5
__all__ = [ 'DatasetProvenance', 'DataLayerProvenance' ]
dataset_provenance_schema = {
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Dataset Provenance",
"description": "Represents a dataset and its derived data layers.",
"requ... | 24.044304 | 125 | 0.59621 |
f14ab93ef7821278c1d5db3574d58d8956117da7 | 1,015 | py | Python | usuarios/migrations/0016_auto_20180201_2122.py | WFPColombia/nutrifami-users | 9441aada0f185442f9b14311f78111eb8d377463 | [
"MIT"
] | null | null | null | usuarios/migrations/0016_auto_20180201_2122.py | WFPColombia/nutrifami-users | 9441aada0f185442f9b14311f78111eb8d377463 | [
"MIT"
] | null | null | null | usuarios/migrations/0016_auto_20180201_2122.py | WFPColombia/nutrifami-users | 9441aada0f185442f9b14311f78111eb8d377463 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.8 on 2018-02-01 21:22
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('usuarios', '0015_auto_20180123_2350'),
]
operations = [
migrations.AlterMod... | 27.432432 | 65 | 0.576355 |
38501c0d0171c698b38f44caf2693de7e572b121 | 25,820 | py | Python | .venv/lib/python3.8/site-packages/yapf/yapflib/unwrapped_line.py | eo1989/VectorBTanalysis | bea3deaf2ee3fc114b308146f2af3e4f35f70197 | [
"MIT"
] | 5 | 2018-07-02T19:10:39.000Z | 2021-09-27T04:05:10.000Z | .venv/lib/python3.8/site-packages/yapf/yapflib/unwrapped_line.py | eo1989/VectorBTanalysis | bea3deaf2ee3fc114b308146f2af3e4f35f70197 | [
"MIT"
] | 3 | 2018-06-10T06:28:06.000Z | 2021-09-24T13:54:19.000Z | .venv/lib/python3.8/site-packages/yapf/yapflib/unwrapped_line.py | eo1989/VectorBTanalysis | bea3deaf2ee3fc114b308146f2af3e4f35f70197 | [
"MIT"
] | 1 | 2021-12-25T16:03:43.000Z | 2021-12-25T16:03:43.000Z | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 38.308605 | 80 | 0.686406 |
002fefcc9bfa81253af761d811a8f270e64827ca | 449 | py | Python | setup.py | Chive/divio-django-jet | 61526a4146f2535a7c71dd848be398d4755c08f2 | [
"BSD-2-Clause"
] | null | null | null | setup.py | Chive/divio-django-jet | 61526a4146f2535a7c71dd848be398d4755c08f2 | [
"BSD-2-Clause"
] | null | null | null | setup.py | Chive/divio-django-jet | 61526a4146f2535a7c71dd848be398d4755c08f2 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from divio_django_jet import __version__
setup(
name='divio-django-jet',
version=__version__,
description=open('README.rst').read(),
author='Divio AG',
author_email='info@divio.com',
packages=find_packages(),
platforms=['O... | 22.45 | 43 | 0.665924 |
c0b33e9a04a493e27f702d90145a7ac134b36c85 | 5,755 | py | Python | autogoal/contrib/__init__.py | gmijenes/autogoal | 916b0eb4d1aa1a222d0ff1b0f6f202bf56458ef5 | [
"MIT"
] | null | null | null | autogoal/contrib/__init__.py | gmijenes/autogoal | 916b0eb4d1aa1a222d0ff1b0f6f202bf56458ef5 | [
"MIT"
] | null | null | null | autogoal/contrib/__init__.py | gmijenes/autogoal | 916b0eb4d1aa1a222d0ff1b0f6f202bf56458ef5 | [
"MIT"
] | null | null | null | def find_classes(include=None, exclude=None, modules=None, input=None, output=None):
import inspect
import re
result = []
if include:
include = f".*({include}).*"
else:
include = r".*"
if exclude:
exclude = f".*({exclude}).*"
if input:
input... | 23.205645 | 87 | 0.56907 |
fbe047c31eac8f1fff8528a952f537cc6a2c89b6 | 3,473 | py | Python | letterparser/zip_lib.py | elifesciences/decision-letter-parser | afe2b72a7d8697e5e8cfec96c531d7bef843908d | [
"MIT"
] | null | null | null | letterparser/zip_lib.py | elifesciences/decision-letter-parser | afe2b72a7d8697e5e8cfec96c531d7bef843908d | [
"MIT"
] | 52 | 2018-11-29T01:45:48.000Z | 2022-02-22T18:05:22.000Z | letterparser/zip_lib.py | elifesciences/decision-letter-parser | afe2b72a7d8697e5e8cfec96c531d7bef843908d | [
"MIT"
] | null | null | null | # coding=utf-8
import zipfile
import os
import shutil
from letterparser import utils
def profile_zip(file_name):
"""open the zip and get zip file info based on the filename"""
zip_docx_info = None
zip_asset_infos = []
with zipfile.ZipFile(file_name, "r") as open_zipfile:
for zipfile_info in o... | 40.383721 | 84 | 0.691621 |
82909e1be62adc8dea3ac17adaabdfeba5896eca | 592 | py | Python | LAB1/roof14.py | Anastasia-Paliy/VisualGeometry | 3c7c08f126e7f64793402f0e3e8f07f9bb653505 | [
"MIT"
] | null | null | null | LAB1/roof14.py | Anastasia-Paliy/VisualGeometry | 3c7c08f126e7f64793402f0e3e8f07f9bb653505 | [
"MIT"
] | null | null | null | LAB1/roof14.py | Anastasia-Paliy/VisualGeometry | 3c7c08f126e7f64793402f0e3e8f07f9bb653505 | [
"MIT"
] | null | null | null | import random
from PIL import Image, ImageDraw
image = Image.open("roof.jpg")
draw = ImageDraw.Draw(image)
width = image.size[0]
height = image.size[1]
pix = image.load()
for x in range(0, width, 100):
for y in range(height // 4, 3 * height // 4):
for i in range(50):
d... | 25.73913 | 61 | 0.481419 |
51f90c8a57c06911ec23a565c4a9752a1182a7e1 | 7,378 | py | Python | src/database.py | rwarnking/image-sorter | 821ec2b89126ea95d6d801a995d05dfa2205918d | [
"MIT"
] | null | null | null | src/database.py | rwarnking/image-sorter | 821ec2b89126ea95d6d801a995d05dfa2205918d | [
"MIT"
] | 21 | 2021-03-22T15:14:17.000Z | 2021-03-31T15:32:34.000Z | src/database.py | rwarnking/image-sorter | 821ec2b89126ea95d6d801a995d05dfa2205918d | [
"MIT"
] | null | null | null | import json
import sqlite3
class Database:
def __init__(self, path="database.db"):
self.conn = sqlite3.connect(path)
self.conn.execute(
"CREATE TABLE IF NOT EXISTS events (title STRING, s_year INT, s_month INT, \
s_day INT, e_year INT, e_month INT, e_day INTT)"
)
... | 32.646018 | 99 | 0.495798 |
4dad85d74272c16d4adbb3ebd62f0de6bf94a5bd | 3,222 | py | Python | models/modules/sparse_ops.py | yanivbl6/convNet.pytorch | a75807611991d867e752bf25eaf8c311a416d8b5 | [
"MIT"
] | null | null | null | models/modules/sparse_ops.py | yanivbl6/convNet.pytorch | a75807611991d867e752bf25eaf8c311a416d8b5 | [
"MIT"
] | null | null | null | models/modules/sparse_ops.py | yanivbl6/convNet.pytorch | a75807611991d867e752bf25eaf8c311a416d8b5 | [
"MIT"
] | null | null | null | import torch
from torch import autograd, nn
import torch.nn.functional as F
from itertools import repeat
from torch._six import container_abcs
class Sparse(autograd.Function):
"""" Prune the unimprotant weight for the forwards phase but pass the gradient to dense weight using SR-STE in the backwards phase"""
... | 30.11215 | 159 | 0.639665 |
8c502a99fad3b1cfd8a5f6a18484b8dff0f03826 | 1,559 | py | Python | src/features/build_features.py | jindongyang94/sample_luigipipeline | 397afd6debc546ea4c9760b475aca4806927e091 | [
"FTL"
] | null | null | null | src/features/build_features.py | jindongyang94/sample_luigipipeline | 397afd6debc546ea4c9760b475aca4806927e091 | [
"FTL"
] | null | null | null | src/features/build_features.py | jindongyang94/sample_luigipipeline | 397afd6debc546ea4c9760b475aca4806927e091 | [
"FTL"
] | null | null | null | """
author: atreya
desc:
"""
import datetime
import pandas
class FeatureBuilder():
def __init__(self, dataframe,training=True):
self.dataframe = dataframe
self.continuous_features = ["CompetitionDistance","Date"]
self.categorical_features = ["StoreType"]
self.target = ["Sales"]
... | 33.170213 | 107 | 0.662604 |
5abaf9161f0664aff104b33c3aed04faf4806040 | 1,280 | py | Python | jrnl/plugins/json_exporter.py | jprof/jrnl | 04811405dc0007dcf1184b885b89bc5c965ddaac | [
"MIT"
] | 2 | 2017-12-08T19:06:55.000Z | 2017-12-09T00:45:20.000Z | jrnl/plugins/json_exporter.py | jprof/jrnl | 04811405dc0007dcf1184b885b89bc5c965ddaac | [
"MIT"
] | 2 | 2017-12-24T01:37:08.000Z | 2021-05-08T02:23:30.000Z | jrnl/plugins/json_exporter.py | jprof/jrnl | 04811405dc0007dcf1184b885b89bc5c965ddaac | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
from __future__ import absolute_import, unicode_literals
from .text_exporter import TextExporter
import json
from .util import get_tags_count
class JSONExporter(TextExporter):
"""This Exporter can convert entries and journals into json."""
names = ["json"]
extensio... | 30.47619 | 70 | 0.610156 |
27ccf399a1acb58595da8c9680252ffaedd18a8b | 14,332 | py | Python | test/functional/mempool_accept.py | TheBurningSavage/TheBurningSavage | dfc00e6c5acc192b4d8a6e8a8ded2efb1252c861 | [
"MIT"
] | 1 | 2021-04-23T20:46:00.000Z | 2021-04-23T20:46:00.000Z | test/functional/mempool_accept.py | TheBurningSavage/TheBurningSavage | dfc00e6c5acc192b4d8a6e8a8ded2efb1252c861 | [
"MIT"
] | null | null | null | test/functional/mempool_accept.py | TheBurningSavage/TheBurningSavage | dfc00e6c5acc192b4d8a6e8a8ded2efb1252c861 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017 The TheBurningSavage Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test mempool acceptance of raw transactions."""
from io import BytesIO
from test_framework.test_fr... | 48.914676 | 154 | 0.644781 |
9a267e59d815cf9e30da2c1132ff8f1188d066ab | 6,601 | py | Python | tests/unittest/benchmark_runner/common/template_operations/golden_files.py | bbenshab/benchmark-runner | 6f541c03c9dca5ee775de93ce62cbeffbc3b10fc | [
"Apache-2.0"
] | null | null | null | tests/unittest/benchmark_runner/common/template_operations/golden_files.py | bbenshab/benchmark-runner | 6f541c03c9dca5ee775de93ce62cbeffbc3b10fc | [
"Apache-2.0"
] | null | null | null | tests/unittest/benchmark_runner/common/template_operations/golden_files.py | bbenshab/benchmark-runner | 6f541c03c9dca5ee775de93ce62cbeffbc3b10fc | [
"Apache-2.0"
] | null | null | null |
import difflib
import filecmp
import os
import shutil
import tempfile
from benchmark_runner.main.environment_variables import environment_variables
from benchmark_runner.common.template_operations.template_operations import TemplateOperations
from tests.unittest.benchmark_runner.common.template_operations.golden_files... | 51.170543 | 143 | 0.675049 |
1303ffdd964d03df83f636553af54b264ca69e0d | 987 | py | Python | public_tool/solve_on_outlier.py | mapicccy/Stock-Market-Trend-Analysis-Using-HMM-LSTM | 5be0f294208d727d5a3e28b0e99496d056102b4c | [
"MIT"
] | 147 | 2018-08-27T09:05:07.000Z | 2022-03-27T13:06:16.000Z | public_tool/solve_on_outlier.py | mapicccy/Stock-Market-Trend-Analysis-Using-HMM-LSTM | 5be0f294208d727d5a3e28b0e99496d056102b4c | [
"MIT"
] | null | null | null | public_tool/solve_on_outlier.py | mapicccy/Stock-Market-Trend-Analysis-Using-HMM-LSTM | 5be0f294208d727d5a3e28b0e99496d056102b4c | [
"MIT"
] | 70 | 2018-09-10T03:12:54.000Z | 2022-03-26T06:46:48.000Z | from public_tool.form_index import form_index
import numpy as np
from dataset_code.process_on_raw_data import fill_na
def solve_on_outlier(dataset, lengths):
"""
find the outlier data, and replace then by fill_na function
input:
dataset, array
lengths, list, record the length of ... | 31.83871 | 88 | 0.590679 |
f3989a04d403db4c62c0a70222e2fcd630d86e31 | 4,498 | py | Python | DRS-Calculate/component/analyse_weigh_ratio.py | monettoCoffee/DormRecommendSys | d5cf10827729f75056da20de0100bcf5c1414d41 | [
"Apache-2.0"
] | 1 | 2020-01-16T05:11:02.000Z | 2020-01-16T05:11:02.000Z | DRS-Calculate/component/analyse_weigh_ratio.py | Happy-hacker0/DormRecommendSys | a3d9c356afd70f1a49aa7eb632d0d8970f7da135 | [
"Apache-2.0"
] | null | null | null | DRS-Calculate/component/analyse_weigh_ratio.py | Happy-hacker0/DormRecommendSys | a3d9c356afd70f1a49aa7eb632d0d8970f7da135 | [
"Apache-2.0"
] | 2 | 2020-01-11T03:04:00.000Z | 2020-01-16T05:16:22.000Z | # coding=utf-8
from weigh.cosine_similarity import CosineSimilarity
import component.section_calculator as section_calculator
# 分析向量平均相似度
def direct_analyse(all_cluster_vector, question_info):
weight_ratio = {}
analyse_one_chosen_weight_ratio(all_cluster_vector, question_info, weight_ratio)
analyse_mult... | 51.701149 | 115 | 0.747666 |
583bb6aed3f54c1165960fdc3233b6ff61225a98 | 357 | py | Python | projects/Digital-Clock-GUI/code.py | Kranthi-Guribilli/Python-Projects | 73059ba06079c14b022b0c80fbc6d031cddfbecb | [
"MIT"
] | 54 | 2021-11-03T08:54:50.000Z | 2022-01-09T19:16:52.000Z | projects/Digital-Clock-GUI/code.py | LeoLivs/Python-Projects | b681deba7220278ea8e37ec2865f8e1fb8ad4755 | [
"MIT"
] | 13 | 2021-10-31T05:01:01.000Z | 2022-01-08T13:48:07.000Z | projects/Digital-Clock-GUI/code.py | LeoLivs/Python-Projects | b681deba7220278ea8e37ec2865f8e1fb8ad4755 | [
"MIT"
] | 14 | 2021-10-30T20:17:50.000Z | 2022-01-09T14:15:13.000Z | from tkinter import *
from tkinter.ttk import *
from time import strftime
root = Tk()
root.title("Clock")
def time():
string = strftime("%H:%M:%S %p")
label.config(text=string)
label.after(100, time)
label = tk.Label(root, font=("JetBrains Mono", 80), background="white", foreground="black")
label.pack... | 17 | 91 | 0.672269 |
cf3c4a11c49b31036af305c8fced93f927003dd4 | 3,124 | py | Python | tools/debugging/matrix/load_with_generate_messages.py | luehrsFred/raiden | a1b118ebe14badb1acd0744b2d7f2b39f8ba5313 | [
"MIT"
] | null | null | null | tools/debugging/matrix/load_with_generate_messages.py | luehrsFred/raiden | a1b118ebe14badb1acd0744b2d7f2b39f8ba5313 | [
"MIT"
] | 69 | 2020-07-21T05:49:21.000Z | 2022-03-08T18:09:44.000Z | tools/debugging/matrix/load_with_generate_messages.py | luehrsFred/raiden | a1b118ebe14badb1acd0744b2d7f2b39f8ba5313 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from gevent import monkey # isort:skip
monkey.patch_all() # isort:skip
import argparse
import os
import time
from dataclasses import dataclass
from typing import Iterator, List
from raiden.utils.nursery import Janitor, Nursery
CWD = os.path.dirname(os.path.abspath(__file__))
GENERATE_MESSAGE... | 30.330097 | 90 | 0.700384 |
319e456d46ea84cb7d42c5f77b036366de327390 | 152 | py | Python | yc199/730.py | c-yan/yukicoder | cdbbd65402177225dd989df7fe01f67908484a69 | [
"MIT"
] | null | null | null | yc199/730.py | c-yan/yukicoder | cdbbd65402177225dd989df7fe01f67908484a69 | [
"MIT"
] | null | null | null | yc199/730.py | c-yan/yukicoder | cdbbd65402177225dd989df7fe01f67908484a69 | [
"MIT"
] | null | null | null | S = input()
d = {}
for c in S:
d.setdefault(c, 0)
d[c] += 1
if all(map(lambda x: x == 1, d.values())):
print('YES')
else:
print('NO')
| 12.666667 | 42 | 0.480263 |
663bfb7d16ff6a6250ffa8ec27bcb7d5e409cee7 | 249 | py | Python | flapp/ext/cli/__init__.py | ernane/flapp | b31eff9accce5d150a3b852dfb8c5394ed9f589a | [
"MIT"
] | null | null | null | flapp/ext/cli/__init__.py | ernane/flapp | b31eff9accce5d150a3b852dfb8c5394ed9f589a | [
"MIT"
] | 1 | 2020-08-30T20:48:05.000Z | 2020-08-30T20:48:57.000Z | flapp/ext/cli/__init__.py | ernane/flapp | b31eff9accce5d150a3b852dfb8c5394ed9f589a | [
"MIT"
] | null | null | null | from flapp.ext.db.commands import create_db, drop_db, populate_db
def init_app(app):
app.cli.add_command(app.cli.command()(create_db))
app.cli.add_command(app.cli.command()(drop_db))
app.cli.add_command(app.cli.command()(populate_db))
| 31.125 | 65 | 0.746988 |
b3b68a51645515acb249a0f8e9db72155f96984a | 8,185 | py | Python | lib/python3.8/site-packages/ansible_collections/community/general/plugins/connection/lxc.py | cjsteel/python3-venv-ansible-2.10.5 | c95395c4cae844dc66fddde9b4343966f4b2ecd5 | [
"Apache-1.1"
] | 5 | 2020-12-16T21:42:09.000Z | 2022-03-28T16:04:32.000Z | .ansible/collections/ansible_collections/community/general/plugins/connection/lxc.py | chronicc/proving-ground | 3e392122a05fb8383a3700954baebb0df330e9e3 | [
"MIT"
] | null | null | null | .ansible/collections/ansible_collections/community/general/plugins/connection/lxc.py | chronicc/proving-ground | 3e392122a05fb8383a3700954baebb0df330e9e3 | [
"MIT"
] | null | null | null | # (c) 2015, Joerg Thalheim <joerg@higgsboson.tk>
# Copyright (c) 2017 Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = '''
author: Joerg Thalheim (!UN... | 35.742358 | 95 | 0.575809 |
4a10291c430e69e2696c7a5be61e579fe8f8b483 | 4,176 | py | Python | glomeruli_segmentation/api_interface.py | theodore-evans/hubmap-kidney-segmentation | 7842655d49080be28682a9cf0394bcbe53172ddc | [
"MIT"
] | null | null | null | glomeruli_segmentation/api_interface.py | theodore-evans/hubmap-kidney-segmentation | 7842655d49080be28682a9cf0394bcbe53172ddc | [
"MIT"
] | null | null | null | glomeruli_segmentation/api_interface.py | theodore-evans/hubmap-kidney-segmentation | 7842655d49080be28682a9cf0394bcbe53172ddc | [
"MIT"
] | null | null | null | from io import BytesIO
from logging import Logger
from typing import Tuple, Type, Union
import desert
from aiohttp import ClientSession, TCPConnector
from marshmallow import EXCLUDE
from PIL import Image
from glomeruli_segmentation.aiohttp_hooks import get_logging_hooks
from glomeruli_segmentation.data_classes import... | 34.8 | 143 | 0.633142 |
76c317dbbe83727d9f87ff338b8c386e0e7f70c9 | 3,154 | py | Python | tests/test_read_edges.py | genimind/graphene | 51d571fbbca19b3675b5f870c00c059912cd4f38 | [
"Apache-2.0"
] | null | null | null | tests/test_read_edges.py | genimind/graphene | 51d571fbbca19b3675b5f870c00c059912cd4f38 | [
"Apache-2.0"
] | null | null | null | tests/test_read_edges.py | genimind/graphene | 51d571fbbca19b3675b5f870c00c059912cd4f38 | [
"Apache-2.0"
] | null | null | null | import os
import unittest
import json
import networkx as nx
from graphene import graphgen
node_mapper_filename = './node_mapper.json'
edge_mapper_filename = './edge_mapper.json'
data_filename = './test_data.txt'
class TestReadEdges(unittest.TestCase):
def setUp(self):
self.node_mapper = None... | 36.252874 | 71 | 0.588776 |
76cbef243ec37973752412aaebf5b21a477af1b0 | 4,018 | py | Python | sector/protocols/pool_protocol.py | bithadder/sector-blockchain | ce63d162cd8c0c7c85ae64d6d6e8bede0a8675e6 | [
"Apache-2.0"
] | 13 | 2021-07-06T12:45:25.000Z | 2021-09-10T22:24:52.000Z | sector/protocols/pool_protocol.py | bithadder/sector-blockchain | ce63d162cd8c0c7c85ae64d6d6e8bede0a8675e6 | [
"Apache-2.0"
] | null | null | null | sector/protocols/pool_protocol.py | bithadder/sector-blockchain | ce63d162cd8c0c7c85ae64d6d6e8bede0a8675e6 | [
"Apache-2.0"
] | 6 | 2021-07-06T01:14:53.000Z | 2021-07-18T05:33:02.000Z | from dataclasses import dataclass
from enum import Enum
import time
from typing import Optional
from blspy import G1Element, G2Element
from sector.types.blockchain_format.proof_of_space import ProofOfSpace
from sector.types.blockchain_format.sized_bytes import bytes32
from sector.util.ints import uint8, uint16, uint3... | 22.96 | 91 | 0.777501 |
5306769155050ba032364650daeecaa1581e609b | 4,209 | py | Python | build/android/pylib/base_test_sharder.py | junmin-zhu/chromium-rivertrail | eb1a57aca71fe68d96e48af8998dcfbe45171ee1 | [
"BSD-3-Clause"
] | 5 | 2018-03-10T13:08:42.000Z | 2021-07-26T15:02:11.000Z | build/android/pylib/base_test_sharder.py | sanyaade-mobiledev/chromium.src | d496dfeebb0f282468827654c2b3769b3378c087 | [
"BSD-3-Clause"
] | 1 | 2015-07-21T08:02:01.000Z | 2015-07-21T08:02:01.000Z | build/android/pylib/base_test_sharder.py | jianglong0156/chromium.src | d496dfeebb0f282468827654c2b3769b3378c087 | [
"BSD-3-Clause"
] | 6 | 2016-11-14T10:13:35.000Z | 2021-01-23T15:29:53.000Z | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import android_commands
import logging
import multiprocessing
from test_result import TestResults
def _ShardedTestRunnable(test):
"""Standalone fun... | 33.943548 | 79 | 0.680209 |
6b4657d6104da5a8c7933b5450c48d240c01eec3 | 718 | py | Python | incubation-python/screenmanager/screen_manager.py | yk0242/incubation | f714ed8172aa290d3f13ff8b7f09f888a5b33640 | [
"MIT"
] | 1 | 2018-01-15T09:21:29.000Z | 2018-01-15T09:21:29.000Z | incubation-python/screenmanager/screen_manager.py | FredCoder/incubation | 93e2aba555e3d3a9c71739201f2ea0eb475c31dd | [
"MIT"
] | 19 | 2015-04-14T15:41:58.000Z | 2017-09-23T08:08:31.000Z | incubation-python/screenmanager/screen_manager.py | FredCoder/incubation | 93e2aba555e3d3a9c71739201f2ea0eb475c31dd | [
"MIT"
] | 2 | 2016-01-05T09:21:28.000Z | 2019-03-20T11:41:45.000Z | # -*- coding: utf-8 -*-
# test using kivy to transition between different screens
# cf https://kivy.org/docs/api-kivy.uix.screenmanager.html
from kivy.app import App
from kivy.uix.screenmanager import ScreenManager, NoTransition
# --- import screens for tops of subsystems to be used here ---
import b_system_screen
i... | 25.642857 | 66 | 0.735376 |
e77d2d15b328cdfd106ff6ac61f7933b60f2e580 | 12,506 | py | Python | object_detection_metrics/category.py | tetutaro/object_detection_metrics | b0b003ff3752bfd98b24614bb485cee652a1e863 | [
"MIT"
] | 2 | 2021-03-21T10:57:36.000Z | 2021-06-09T11:34:59.000Z | object_detection_metrics/category.py | tetutaro/object_detection_metrics | b0b003ff3752bfd98b24614bb485cee652a1e863 | [
"MIT"
] | null | null | null | object_detection_metrics/category.py | tetutaro/object_detection_metrics | b0b003ff3752bfd98b24614bb485cee652a1e863 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from __future__ import annotations
from collections import defaultdict
import numpy as np
class Category(object):
'''the basis of evaluation per category id
Attributes:
category_id (int): category id of detected object
n_true (int): the number of g... | 38.361963 | 76 | 0.551655 |
c5be495fc1db83f6003233042814e93e6d6f115f | 2,609 | py | Python | ppfa/selenium_tests/management/commands/runtests.py | Goldcap/django-selenium-testing | ad6fc09eb4fd8a54d0532c4478add0753ead1d96 | [
"MIT"
] | null | null | null | ppfa/selenium_tests/management/commands/runtests.py | Goldcap/django-selenium-testing | ad6fc09eb4fd8a54d0532c4478add0753ead1d96 | [
"MIT"
] | null | null | null | ppfa/selenium_tests/management/commands/runtests.py | Goldcap/django-selenium-testing | ad6fc09eb4fd8a54d0532c4478add0753ead1d96 | [
"MIT"
] | null | null | null |
import sys
import os.path
import importlib
from inspect import getmembers, isclass
from collections import defaultdict
from optparse import make_option
from django.utils import timezone
from django.core.management.base import BaseCommand, CommandError
from django.contrib.contenttypes.models im... | 35.739726 | 113 | 0.576466 |
ceea16883e15eaaf54c1f69452cbe348041c8964 | 13,113 | py | Python | dataloader/pc_dataset.py | msc9533/Cylinder3D | 4441da83df3e897dd78a89383684c87f9644ed8d | [
"Apache-2.0"
] | 2 | 2021-02-15T12:25:33.000Z | 2021-04-13T13:11:38.000Z | dataloader/pc_dataset.py | msc9533/Cylinder3D | 4441da83df3e897dd78a89383684c87f9644ed8d | [
"Apache-2.0"
] | 1 | 2022-03-11T10:27:20.000Z | 2022-03-11T11:52:29.000Z | dataloader/pc_dataset.py | msc9533/Cylinder3D | 4441da83df3e897dd78a89383684c87f9644ed8d | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# author: Xinge
# @file: pc_dataset.py
import os
import numpy as np
from torch.utils import data
import yaml
import pickle
REGISTERED_PC_DATASET_CLASSES = {}
def register_dataset(cls, name=None):
global REGISTERED_PC_DATASET_CLASSES
if name is None:
name = cls.__name__
as... | 35.633152 | 116 | 0.603371 |
e4609305a33f4cbe54e4d101234c42087475214b | 1,091 | py | Python | setup.py | eyeseast/wumb-to-sqlite | c8ea909b4bf90cadc6ef60b3cd548246a97933c7 | [
"Apache-2.0"
] | 2 | 2020-10-15T20:58:00.000Z | 2020-10-16T13:35:13.000Z | setup.py | eyeseast/wumb-to-sqlite | c8ea909b4bf90cadc6ef60b3cd548246a97933c7 | [
"Apache-2.0"
] | 4 | 2020-10-12T15:45:28.000Z | 2020-10-16T14:00:37.000Z | setup.py | eyeseast/wumb-to-sqlite | c8ea909b4bf90cadc6ef60b3cd548246a97933c7 | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
import os
VERSION = "0.1"
def get_long_description():
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "README.md"),
) as fp:
return fp.read()
setup(
name="wumb-to-sqlite",
description="Scrape WUMB playlists to SQLite",
long_descri... | 29.486486 | 82 | 0.654445 |
0f88066befb88ec5f7060c44b0d2dfbf2b36b17c | 188 | py | Python | Examples/FactorialExample.py | SymmetricChaos/FiniteFields | 65258e06b7f04ce15223c1bc0c2384ef5e9cec1a | [
"MIT"
] | 1 | 2021-08-22T15:03:59.000Z | 2021-08-22T15:03:59.000Z | Examples/FactorialExample.py | SymmetricChaos/NumberTheory | 65258e06b7f04ce15223c1bc0c2384ef5e9cec1a | [
"MIT"
] | null | null | null | Examples/FactorialExample.py | SymmetricChaos/NumberTheory | 65258e06b7f04ce15223c1bc0c2384ef5e9cec1a | [
"MIT"
] | null | null | null | from Combinatorics import falling_factorial, rising_factorial
x = 5
n = 5
print(f"falling_fac({x},{n}) = {falling_factorial(x,n)}")
print(f"rising_fac({x},{n}) = {rising_factorial(x,n)}") | 31.333333 | 61 | 0.712766 |
1d656fad86ca3d019c99b4bea726e6df3734ec85 | 8,527 | py | Python | src/confluent/azext_confluent/vendored_sdks/confluent/aio/operations/_marketplace_agreement_operations.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 2 | 2021-06-05T17:51:26.000Z | 2021-11-17T11:17:56.000Z | src/confluent/azext_confluent/vendored_sdks/confluent/aio/operations/_marketplace_agreement_operations.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 3 | 2020-05-27T20:16:26.000Z | 2020-07-23T19:46:49.000Z | src/confluent/azext_confluent/vendored_sdks/confluent/aio/operations/_marketplace_agreement_operations.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 5 | 2020-09-08T22:46:48.000Z | 2020-11-08T14:54:35.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 47.904494 | 133 | 0.677495 |
383197e41e6220f2efe2beb00311ff0dae2083a5 | 5,059 | bzl | Python | tools/ts-api-guardian/index.bzl | ddeka2910/angular | 39573769c698409b6a4279acec1a86e0686740a4 | [
"MIT"
] | 2 | 2018-02-26T04:06:30.000Z | 2020-02-12T21:59:09.000Z | tools/ts-api-guardian/index.bzl | ddeka2910/angular | 39573769c698409b6a4279acec1a86e0686740a4 | [
"MIT"
] | 369 | 2021-01-20T05:54:20.000Z | 2022-03-25T21:49:16.000Z | tools/ts-api-guardian/index.bzl | ddeka2910/angular | 39573769c698409b6a4279acec1a86e0686740a4 | [
"MIT"
] | 1 | 2017-02-21T00:57:05.000Z | 2017-02-21T00:57:05.000Z | # Copyright 2017 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 34.650685 | 132 | 0.616723 |
12a65c3450b774bf2f2dd40aa1ef080a980e4d82 | 6,822 | py | Python | py/test/selenium/webdriver/common/w3c_interaction_tests.py | stevepiercy/selenium | 4464ac4f8230150824f6bf2e4075cd1f53a648c7 | [
"Apache-2.0"
] | 4 | 2021-07-04T00:18:58.000Z | 2021-11-17T11:10:02.000Z | py/test/selenium/webdriver/common/w3c_interaction_tests.py | stevepiercy/selenium | 4464ac4f8230150824f6bf2e4075cd1f53a648c7 | [
"Apache-2.0"
] | 5 | 2021-08-21T19:28:26.000Z | 2022-02-27T16:03:09.000Z | py/test/selenium/webdriver/common/w3c_interaction_tests.py | stevepiercy/selenium | 4464ac4f8230150824f6bf2e4075cd1f53a648c7 | [
"Apache-2.0"
] | 3 | 2017-10-19T04:57:07.000Z | 2020-12-08T19:57:45.000Z | # Licensed to the Software Freedom Conservancy (SFC) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The SFC licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 32.028169 | 82 | 0.737614 |
122036a741ff1da37293d7a35167c0a2862422de | 3,638 | py | Python | Python/matplotlib/plots.py | lcbendall/numerical_computing | 565cde92525ea44c55abe933c6419c1543f9800b | [
"CC-BY-3.0"
] | null | null | null | Python/matplotlib/plots.py | lcbendall/numerical_computing | 565cde92525ea44c55abe933c6419c1543f9800b | [
"CC-BY-3.0"
] | null | null | null | Python/matplotlib/plots.py | lcbendall/numerical_computing | 565cde92525ea44c55abe933c6419c1543f9800b | [
"CC-BY-3.0"
] | 1 | 2020-12-08T01:19:23.000Z | 2020-12-08T01:19:23.000Z | import matplotlib
matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')
import matplotlib.pyplot as plt
import matplotlib.widgets as wg
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from mayavi import mlab
import solutions
png_size = (1024, 768)
def exp_plot():
x = np.linspace(-... | 23.320513 | 85 | 0.575591 |
26f0914af0d99d6abe19ffa0702c74d57292d5e9 | 15,804 | py | Python | urwid/treetools.py | DarkPurpleShadow/ConnectFour | af766cb0f6324c735c8c7f5f9161574859edbcdb | [
"BSD-3-Clause"
] | 39 | 2015-04-09T12:55:25.000Z | 2022-01-09T17:56:39.000Z | urwid/treetools.py | DarkPurpleShadow/ConnectFour | af766cb0f6324c735c8c7f5f9161574859edbcdb | [
"BSD-3-Clause"
] | null | null | null | urwid/treetools.py | DarkPurpleShadow/ConnectFour | af766cb0f6324c735c8c7f5f9161574859edbcdb | [
"BSD-3-Clause"
] | 13 | 2015-12-17T21:56:26.000Z | 2019-06-01T18:22:02.000Z | #!/usr/bin/python
#
# Generic TreeWidget/TreeWalker class
# Copyright (c) 2010 Rob Lanphier
# Copyright (C) 2004-2010 Ian Ward
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foun... | 32.451745 | 79 | 0.596495 |
64f76a02eaf50bf1783dac86a25d6f8ec431e9eb | 2,316 | py | Python | setup.py | atlascope/atlascope-api | 8738d20836d3a4f449896215b5fee7c3cf2c7356 | [
"Apache-2.0"
] | 1 | 2022-01-11T22:47:36.000Z | 2022-01-11T22:47:36.000Z | setup.py | atlascope/atlascope | 8738d20836d3a4f449896215b5fee7c3cf2c7356 | [
"Apache-2.0"
] | 80 | 2021-12-08T22:18:44.000Z | 2022-03-31T22:56:48.000Z | setup.py | atlascope/atlascope-api | 8738d20836d3a4f449896215b5fee7c3cf2c7356 | [
"Apache-2.0"
] | 1 | 2021-12-13T19:30:57.000Z | 2021-12-13T19:30:57.000Z | from pathlib import Path
from setuptools import find_packages, setup
readme_file = Path(__file__).parent / 'README.md'
if readme_file.exists():
with readme_file.open() as f:
long_description = f.read()
else:
# When this is first installed in development Docker, README.md is not available
long_desc... | 29.316456 | 84 | 0.576425 |
ad34a8993a59e9bc5fe3f8eaab295ceeee4fe906 | 4,505 | py | Python | util/git-pre-commit.py | Jihaoyun/gem5 | c52195e8304b5571008eab050fc9cc38ba91107c | [
"BSD-3-Clause"
] | 3 | 2017-04-09T07:35:57.000Z | 2018-12-12T07:30:13.000Z | util/git-pre-commit.py | Jihaoyun/gem5 | c52195e8304b5571008eab050fc9cc38ba91107c | [
"BSD-3-Clause"
] | null | null | null | util/git-pre-commit.py | Jihaoyun/gem5 | c52195e8304b5571008eab050fc9cc38ba91107c | [
"BSD-3-Clause"
] | 3 | 2018-03-04T18:01:33.000Z | 2019-08-23T22:30:37.000Z | #!/usr/bin/env python
#
# Copyright (c) 2016 ARM Limited
# All rights reserved
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementatio... | 38.504274 | 79 | 0.71343 |
0ae7d6f69f737627718c8adefd7864a1311752cb | 359 | py | Python | mlbase/utils/images.py | n-kats/mlbase | 7d69f259dcaf9608a921523083458fa6d0d6914b | [
"MIT"
] | null | null | null | mlbase/utils/images.py | n-kats/mlbase | 7d69f259dcaf9608a921523083458fa6d0d6914b | [
"MIT"
] | 2 | 2018-09-23T18:39:01.000Z | 2018-09-24T18:02:21.000Z | mlbase/utils/images.py | n-kats/mlbase | 7d69f259dcaf9608a921523083458fa6d0d6914b | [
"MIT"
] | null | null | null | from mlbase.lazy import numpy as np
def tiled_image(images: "np.ndarray"):
n, h, w, ch = images.shape
sq = int(np.ceil(np.sqrt(n)))
output = np.zeros([sq * h, sq * w, ch], dtype=np.uint8)
for i, image in enumerate(images):
x = i % sq
y = i // sq
output[h * y:h * (y + 1), w * x:... | 27.615385 | 60 | 0.534819 |
7024cf9d9bbe851dfd74e9528b9e4a9d7391870e | 3,337 | py | Python | xskillscore/tests/test_skipna_functionality.py | blackary/xskillscore | 2754d60a87dd0d5d3b2e1c727873520754391389 | [
"Apache-2.0"
] | null | null | null | xskillscore/tests/test_skipna_functionality.py | blackary/xskillscore | 2754d60a87dd0d5d3b2e1c727873520754391389 | [
"Apache-2.0"
] | null | null | null | xskillscore/tests/test_skipna_functionality.py | blackary/xskillscore | 2754d60a87dd0d5d3b2e1c727873520754391389 | [
"Apache-2.0"
] | null | null | null | import dask
import numpy as np
import pytest
from xarray.tests import CountingScheduler, assert_allclose, raise_if_dask_computes
from xskillscore.core.deterministic import (
linslope,
mae,
mape,
me,
median_absolute_error,
mse,
pearson_r,
pearson_r_p_value,
r2,
rmse,
smape,
... | 30.336364 | 87 | 0.709919 |
485a00eabbbc1256405a8684f6b790ba53930abc | 3,265 | py | Python | dcodex_bible/plot.py | rbturnbull/dcodex_bible | 7745726867bdc556b3de5505601bbb881d420477 | [
"Apache-2.0"
] | null | null | null | dcodex_bible/plot.py | rbturnbull/dcodex_bible | 7745726867bdc556b3de5505601bbb881d420477 | [
"Apache-2.0"
] | 9 | 2021-04-08T20:32:39.000Z | 2022-03-12T01:06:09.000Z | dcodex_bible/plot.py | rbturnbull/dcodex_bible | 7745726867bdc556b3de5505601bbb881d420477 | [
"Apache-2.0"
] | null | null | null | from dcodex.models import *
from .models import *
def plot_affiliation_matrix(
family,
manuscripts,
verses,
force_compute=False,
matrix_filename=None,
figsize=(12, 7),
major_chapter_markers=10,
minor_chapter_markers=1,
... | 41.329114 | 179 | 0.672588 |
28b1475ab82af1e110f0939c358c91678fd6ddce | 915 | py | Python | relay-demo.py | jkaplon/rpi-utils | ad8ef8a4803c4086560345d23a07c70ee40cc7fe | [
"MIT"
] | null | null | null | relay-demo.py | jkaplon/rpi-utils | ad8ef8a4803c4086560345d23a07c70ee40cc7fe | [
"MIT"
] | null | null | null | relay-demo.py | jkaplon/rpi-utils | ad8ef8a4803c4086560345d23a07c70ee40cc7fe | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import time
in1 = 16
in2 = 18
GPIO.setmode(GPIO.BOARD)
GPIO.setup(in1, GPIO.OUT)
GPIO.setup(in2, GPIO.OUT)
GPIO.output(in1, False)
GPIO.output(in2, False)
try:
while True:
for x in range(5):
GPIO.output(in1, True)
time.sleep(0.1)
GPIO.output(in... | 20.795455 | 35 | 0.538798 |
1674aaa376a14ec89ada3760babc194611763702 | 174 | py | Python | test_files/encoding_test.py | haiyanghe/rednose | 8a280ce9e7d02a563e252098661f79cfb3011971 | [
"MIT"
] | 30 | 2016-04-15T21:19:30.000Z | 2021-03-25T11:30:36.000Z | test_files/encoding_test.py | haiyanghe/rednose | 8a280ce9e7d02a563e252098661f79cfb3011971 | [
"MIT"
] | 20 | 2016-04-18T14:56:02.000Z | 2021-09-21T14:58:04.000Z | test_files/encoding_test.py | haiyanghe/rednose | 8a280ce9e7d02a563e252098661f79cfb3011971 | [
"MIT"
] | 11 | 2016-07-22T08:58:20.000Z | 2020-06-01T14:47:44.000Z | # vim: fileencoding=utf-8:
# NOTE: this file does *not* import unicode_literals,
# so the assertion message is actually just utf-8 bytes
def test():
assert False, "ä"
| 19.333333 | 55 | 0.706897 |
b3516f2ea9950aed50cce2ba19891a0f46cf3a68 | 71 | py | Python | manage/const.py | augustand/kervice | ccbda8196805a542a9324b404e02d83cc130926e | [
"MIT"
] | 1 | 2017-12-24T07:59:25.000Z | 2017-12-24T07:59:25.000Z | manage/const.py | augustand/kervice | ccbda8196805a542a9324b404e02d83cc130926e | [
"MIT"
] | null | null | null | manage/const.py | augustand/kervice | ccbda8196805a542a9324b404e02d83cc130926e | [
"MIT"
] | null | null | null | class ENV(object):
dev = "dev"
stage = "stage"
pro = "pro"
| 14.2 | 19 | 0.507042 |
e56efa20703c30dfadc089701d275413297aa25b | 2,718 | py | Python | tests/instrumentation/django_tests/template_tests.py | ellisvalentiner/apm-agent-python | 89e2579a7b05433733909632127fd34770bc93ef | [
"BSD-3-Clause"
] | null | null | null | tests/instrumentation/django_tests/template_tests.py | ellisvalentiner/apm-agent-python | 89e2579a7b05433733909632127fd34770bc93ef | [
"BSD-3-Clause"
] | null | null | null | tests/instrumentation/django_tests/template_tests.py | ellisvalentiner/apm-agent-python | 89e2579a7b05433733909632127fd34770bc93ef | [
"BSD-3-Clause"
] | null | null | null | import pytest # isort:skip
pytest.importorskip("django") # isort:skip
from os.path import join
import django
from django.test.utils import override_settings
import mock
import pytest
from conftest import BASE_TEMPLATE_DIR
from elasticapm.conf.constants import TRANSACTION
from tests.utils.compat import middleware... | 34.405063 | 104 | 0.708241 |
ae04f17c8315e6f05c54082c47b22ad1d78c7732 | 252 | py | Python | 0349_IntersectionOfTwoArrays.py | taro-masuda/leetcode | 39739e9fec7c66513b114c740ef982ccc09dc39f | [
"MIT"
] | null | null | null | 0349_IntersectionOfTwoArrays.py | taro-masuda/leetcode | 39739e9fec7c66513b114c740ef982ccc09dc39f | [
"MIT"
] | null | null | null | 0349_IntersectionOfTwoArrays.py | taro-masuda/leetcode | 39739e9fec7c66513b114c740ef982ccc09dc39f | [
"MIT"
] | 1 | 2020-03-18T05:23:40.000Z | 2020-03-18T05:23:40.000Z | class Solution:
def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
n1 = set(nums1)
n2 = set(nums2)
out = []
for n in n1:
if n in n2:
out.append(n)
return out
| 25.2 | 76 | 0.47619 |
b2ff4b1ef09cbffbdaa86db828a6cd4a33a7a70a | 819 | py | Python | utils/img_tools.py | snu-mllab/Deep-Hash-Table-CVPR19 | 62c811c37001302e6759a18d6143b8ad657e4910 | [
"MIT"
] | 12 | 2019-05-20T10:26:01.000Z | 2020-05-07T02:19:05.000Z | utils/img_tools.py | maestrojeong/Deep-Hash-Table-CVPR19 | 62c811c37001302e6759a18d6143b8ad657e4910 | [
"MIT"
] | 1 | 2019-06-21T11:50:15.000Z | 2019-06-24T05:38:27.000Z | utils/img_tools.py | snu-mllab/Deep-Hash-Table-CVPR19 | 62c811c37001302e6759a18d6143b8ad657e4910 | [
"MIT"
] | 2 | 2019-03-21T01:54:11.000Z | 2019-05-08T10:38:46.000Z | import numpy as np
import os
def jpg2png(str_):
'''
Args:
str_ - .jpg
'''
return os.path.splitext(str_)[0]+'.png'
def rgb2gray(rgb_img):
'''
Args:
rgb_img - Numpy 3D array
[nrow, ncol ,3]
Return:
gray_img - Numpy 3D array
[nrow, ncol ... | 21.552632 | 69 | 0.518926 |
04c9afb6fd96ce6354af8cf372d0372ecf7b46f5 | 67 | py | Python | tests/__init__.py | sturmianseq/yamicache | be6400a5742f3f01c5ada01b3ca74c72ce0108e2 | [
"MIT"
] | null | null | null | tests/__init__.py | sturmianseq/yamicache | be6400a5742f3f01c5ada01b3ca74c72ce0108e2 | [
"MIT"
] | 10 | 2017-09-01T17:12:20.000Z | 2021-08-28T17:34:46.000Z | tests/__init__.py | sturmianseq/yamicache | be6400a5742f3f01c5ada01b3ca74c72ce0108e2 | [
"MIT"
] | 3 | 2018-08-08T15:49:35.000Z | 2021-11-04T17:21:10.000Z | # -*- coding: utf-8 -*-
"""Unit test package for yamicache."""
| 16.75 | 39 | 0.552239 |
e0b51dfaae70adf829ce3b45c27f52f7fdc9822d | 1,313 | py | Python | entities/client.py | wolfryan97/Project_0 | 27c1608833b04f067b5bceaeed99e7ed2b164a58 | [
"MIT"
] | null | null | null | entities/client.py | wolfryan97/Project_0 | 27c1608833b04f067b5bceaeed99e7ed2b164a58 | [
"MIT"
] | null | null | null | entities/client.py | wolfryan97/Project_0 | 27c1608833b04f067b5bceaeed99e7ed2b164a58 | [
"MIT"
] | null | null | null | class Client:
def __init__(self, client_id: int, client_firstname: str,
client_lastname: str, address: str, city: str,
state: str, zip_code: int):
self.client_id = client_id
self.client_firstname = client_firstname
self.client_lastname = client_lastname
... | 34.552632 | 99 | 0.566641 |
cc0cab8a718af7a8b0437ff869c4ab6adc7f1fb8 | 170 | py | Python | tulius/forum/threads/__init__.py | kozzztik/tulius | 81b8f6484eefdc453047f62173a08f5e6f640cd6 | [
"MIT"
] | 1 | 2020-04-21T15:09:18.000Z | 2020-04-21T15:09:18.000Z | tulius/forum/threads/__init__.py | kozzztik/tulius | 81b8f6484eefdc453047f62173a08f5e6f640cd6 | [
"MIT"
] | 70 | 2019-04-10T22:32:32.000Z | 2022-03-11T23:12:54.000Z | tulius/forum/threads/__init__.py | kozzztik/tulius | 81b8f6484eefdc453047f62173a08f5e6f640cd6 | [
"MIT"
] | 1 | 2019-04-12T14:55:39.000Z | 2019-04-12T14:55:39.000Z | from django.apps import AppConfig
class ForumThreadsConfig(AppConfig):
name = 'tulius.forum.threads'
label = 'forum_threads'
verbose_name = 'Forum threads'
| 21.25 | 36 | 0.735294 |
cd1fa0a5072c0bf3b1247a4eabd1258fc86aa576 | 3,279 | py | Python | tests/test_i2c.py | jakiee3y/luma.core | 713de8e4e397493dd196e8e7653268877135ffe9 | [
"MIT"
] | null | null | null | tests/test_i2c.py | jakiee3y/luma.core | 713de8e4e397493dd196e8e7653268877135ffe9 | [
"MIT"
] | null | null | null | tests/test_i2c.py | jakiee3y/luma.core | 713de8e4e397493dd196e8e7653268877135ffe9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2017-18 Richard Hull and contributors
# See LICENSE.rst for details.
"""
Tests for the :py:class:`luma.core.interface.serial.i2c` class.
"""
import errno
import pytest
import smbus2
from unittest.mock import Mock, patch, call
from luma.core.interface.seria... | 27.325 | 88 | 0.668801 |
3ff105eebd7b312c178dda11b75eab545ce3aae8 | 3,002 | py | Python | official/mnist/mnist_eager_test.py | vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | [
"Apache-2.0"
] | 1 | 2019-09-11T09:41:11.000Z | 2019-09-11T09:41:11.000Z | official/mnist/mnist_eager_test.py | vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | [
"Apache-2.0"
] | null | null | null | official/mnist/mnist_eager_test.py | vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 31.270833 | 81 | 0.691872 |
e86925d31e9ecdfbab2851c4e21d398b9d74e0e0 | 1,199 | py | Python | src/app/halftone.py | telegnom/labello | bb9349909758bebfd03fd96f7a911d61ce29478a | [
"MIT"
] | 2 | 2019-04-07T04:17:28.000Z | 2021-02-25T01:11:33.000Z | src/app/halftone.py | telegnom/labello | bb9349909758bebfd03fd96f7a911d61ce29478a | [
"MIT"
] | 10 | 2019-01-10T06:32:37.000Z | 2020-06-18T00:06:28.000Z | src/app/halftone.py | telegnom/labello | bb9349909758bebfd03fd96f7a911d61ce29478a | [
"MIT"
] | 4 | 2018-04-13T17:15:43.000Z | 2019-10-31T20:09:13.000Z | from PIL import Image, ImageDraw, ImageStat
def halftone(img, sample, scale, angle=45):
img_grey = img.convert('L')
channel = img_grey.split()[0]
channel = channel.rotate(angle, expand=1)
size = channel.size[0]*scale, channel.size[1]*scale
new_img = Image.new('1', size)
draw = ImageDraw.Draw(... | 39.966667 | 72 | 0.581318 |
a35db153cca5c2b10bfdaf05a26756c0125d93da | 2,324 | py | Python | python3/koans/about_comprehension.py | polarization/python_koans | bd0f78a66d7fa60272d21bb24202ebff87e73e41 | [
"MIT"
] | null | null | null | python3/koans/about_comprehension.py | polarization/python_koans | bd0f78a66d7fa60272d21bb24202ebff87e73e41 | [
"MIT"
] | null | null | null | python3/koans/about_comprehension.py | polarization/python_koans | bd0f78a66d7fa60272d21bb24202ebff87e73e41 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
class AboutComprehension(Koan):
def test_creating_lists_with_list_comprehensions(self):
feast = ['lambs', 'sloths', 'orangutans', 'breakfast cereals',
'fruit bats']
comprehension = [delicacy.capitalize() fo... | 34.176471 | 77 | 0.63167 |
81c6f04fabba0621d129cf3f1ba15a9725317db7 | 916 | py | Python | connect/serializer.py | lizKimita/Mshauri-Connect | 24f6f67017eebf5ee1d2e08c9bf249108dee28a2 | [
"MIT"
] | 1 | 2019-06-20T08:23:22.000Z | 2019-06-20T08:23:22.000Z | connect/serializer.py | lizKimita/Mshauri-Connect | 24f6f67017eebf5ee1d2e08c9bf249108dee28a2 | [
"MIT"
] | 16 | 2019-06-11T14:55:14.000Z | 2021-09-08T01:02:58.000Z | connect/serializer.py | lizKimita/Mshauri-Connect | 24f6f67017eebf5ee1d2e08c9bf249108dee28a2 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from .models import Foundation, Awareness, Forums, Profile, Comment
class FoundationSerializer(serializers.ModelSerializer):
class Meta:
model=Foundation
fields=('image','name','location', 'contact', 'website_link', 'description')
class AwarenessSerializer(s... | 29.548387 | 84 | 0.713974 |
18ffcb40a0b1bd2a9b11e0f8365d81e2864d0fbb | 934 | py | Python | venv/lib/python3.8/site-packages/matplotlib/tests/test_backend_tk.py | willBear/willBear-Fundamental_Analysis | bc67eb1e69dcf6765c0b77314d37f7f165a7318f | [
"MIT"
] | 15 | 2020-06-29T08:33:39.000Z | 2022-02-12T00:28:51.000Z | venv/lib/python3.8/site-packages/matplotlib/tests/test_backend_tk.py | willBear/willBear-Fundamental_Analysis | bc67eb1e69dcf6765c0b77314d37f7f165a7318f | [
"MIT"
] | 30 | 2020-04-15T19:37:40.000Z | 2020-04-22T21:19:35.000Z | venv/lib/python3.8/site-packages/matplotlib/tests/test_backend_tk.py | willBear/willBear-Fundamental_Analysis | bc67eb1e69dcf6765c0b77314d37f7f165a7318f | [
"MIT"
] | 11 | 2020-06-29T08:40:24.000Z | 2022-02-24T17:39:16.000Z | import pytest
import numpy as np
from matplotlib import pyplot as plt
@pytest.mark.backend('TkAgg', skip_on_importerror=True)
def test_blit():
from matplotlib.backends import _tkagg
def evil_blit(photoimage, aggimage, offsets, bboxptr):
data = np.asarray(aggimage)
height, width = data.shape[:2... | 32.206897 | 74 | 0.493576 |
137ca232e9ce8d6913600a4978a0a45707c4320a | 2,909 | py | Python | src/olympia/reviews/templatetags/jinja_helpers.py | Osmose/olympia | 774c3b927ec05ef971e4206e2669b4291b8b4f17 | [
"BSD-3-Clause"
] | null | null | null | src/olympia/reviews/templatetags/jinja_helpers.py | Osmose/olympia | 774c3b927ec05ef971e4206e2669b4291b8b4f17 | [
"BSD-3-Clause"
] | null | null | null | src/olympia/reviews/templatetags/jinja_helpers.py | Osmose/olympia | 774c3b927ec05ef971e4206e2669b4291b8b4f17 | [
"BSD-3-Clause"
] | null | null | null | import jinja2
from django_jinja import library
from django.template.loader import get_template
from django.utils.translation import ugettext
from olympia import amo
from olympia.access import acl
from olympia.reviews.models import ReviewFlag
from .. import forms
@library.filter
def stars(num, large=False):
# c... | 33.436782 | 77 | 0.696116 |
ab3e250f158b4ed0173fe7715ee2559fe186d522 | 1,879 | py | Python | qurator/sbb_ned/embeddings/bert.py | qurator-spk/sbb_ned | d4cfe249f72e48913f254a58fbe0dbe6e47bd168 | [
"Apache-2.0"
] | 6 | 2020-09-05T16:08:59.000Z | 2022-03-05T00:54:47.000Z | qurator/sbb_ned/embeddings/bert.py | qurator-spk/sbb_ned | d4cfe249f72e48913f254a58fbe0dbe6e47bd168 | [
"Apache-2.0"
] | 6 | 2020-09-23T17:58:37.000Z | 2022-03-10T14:02:09.000Z | qurator/sbb_ned/embeddings/bert.py | qurator-spk/sbb_ned | d4cfe249f72e48913f254a58fbe0dbe6e47bd168 | [
"Apache-2.0"
] | 2 | 2021-03-22T00:12:51.000Z | 2022-01-31T10:04:08.000Z | from ..embeddings.base import Embeddings
from flair.data import Sentence
class BertEmbeddings(Embeddings):
def __init__(self, model_path,
layers="-1, -2, -3, -4", pooling_operation='first', use_scalar_mix=True, no_cuda=False, *args, **kwargs):
super(BertEmbeddings, self).__init__(*args... | 29.359375 | 122 | 0.585418 |
ebb8400c4a5e99a1aed5f9a3da92162ef02f6bef | 59,835 | py | Python | sdk/storage/azure-mgmt-storage/azure/mgmt/storage/v2019_06_01/operations/_blob_containers_operations.py | hurtn/azure-sdk-for-python | 64cc053e589691da22fed7a47611199818c99b2b | [
"MIT"
] | 1 | 2020-12-10T03:17:51.000Z | 2020-12-10T03:17:51.000Z | sdk/storage/azure-mgmt-storage/azure/mgmt/storage/v2019_06_01/operations/_blob_containers_operations.py | hurtn/azure-sdk-for-python | 64cc053e589691da22fed7a47611199818c99b2b | [
"MIT"
] | 15 | 2019-07-12T18:18:04.000Z | 2019-07-25T20:55:51.000Z | sdk/storage/azure-mgmt-storage/azure/mgmt/storage/v2019_06_01/operations/_blob_containers_operations.py | hurtn/azure-sdk-for-python | 64cc053e589691da22fed7a47611199818c99b2b | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 55.30037 | 297 | 0.68134 |
4efa8710121979d46fd0cdfe7a7d5cd6ec54bb3a | 2,016 | py | Python | venv/lib/python3.8/site-packages/vsts/build/v4_0/models/build_definition_revision.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/vsts/build/v4_0/models/build_definition_revision.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/vsts/build/v4_0/models/build_definition_revision.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------------------... | 40.32 | 139 | 0.546131 |
3c41903c33289a8376f7df339b1faec5eddc1b2b | 2,587 | py | Python | projects/models.py | rkprajapat/construction-crm | ae70238862f3048e4b1b849f9c16bf1bdf867a28 | [
"MIT"
] | null | null | null | projects/models.py | rkprajapat/construction-crm | ae70238862f3048e4b1b849f9c16bf1bdf867a28 | [
"MIT"
] | 11 | 2020-02-12T00:51:32.000Z | 2022-03-11T23:57:22.000Z | projects/models.py | rkprajapat/construction-crm | ae70238862f3048e4b1b849f9c16bf1bdf867a28 | [
"MIT"
] | null | null | null | from django.db import models
from django.urls import reverse
from django_countries.fields import CountryField
from django.utils.text import slugify
from mdm.models import ProjectStatus, UnitStatus
from users.models import CustomUser
class Project(models.Model):
name = models.CharField(max_length=100, blank=False)... | 35.438356 | 122 | 0.696946 |
15828be88e0e2efba05f5228f676397dc953ef50 | 5,291 | py | Python | ITHACA_SEM_code/Nektar_data.py | Mopolino8/ITHACA-SEM | 5ffdc13c9ecf14a51a6d044d567d3ec5f220efa0 | [
"MIT"
] | null | null | null | ITHACA_SEM_code/Nektar_data.py | Mopolino8/ITHACA-SEM | 5ffdc13c9ecf14a51a6d044d567d3ec5f220efa0 | [
"MIT"
] | null | null | null | ITHACA_SEM_code/Nektar_data.py | Mopolino8/ITHACA-SEM | 5ffdc13c9ecf14a51a6d044d567d3ec5f220efa0 | [
"MIT"
] | 1 | 2019-11-24T17:24:26.000Z | 2019-11-24T17:24:26.000Z |
import numpy as np
"""
runs using
1) python/3.3.2 2) numpy/1.11.1/python/3.3 3) scipy/0.17.1/python/3.3
module load python3/3.3.2 /scratch/mhess/py3p3/3.3
"""
def convert():
print("Generating Parameter-independent terms.")
f_IP = open('Nektar_data/IP.txt', 'r')
f_IPp = open('Nektar_data... | 36.239726 | 95 | 0.749008 |
1afba788cf6dd5a30ffab348eeb5a47653d384f9 | 274 | py | Python | tests/artificial/transf_Integration/trend_MovingAverage/cycle_5/ar_12/test_artificial_32_Integration_MovingAverage_5_12_0.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | tests/artificial/transf_Integration/trend_MovingAverage/cycle_5/ar_12/test_artificial_32_Integration_MovingAverage_5_12_0.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 1 | 2019-11-30T23:39:38.000Z | 2019-12-01T04:34:35.000Z | tests/artificial/transf_Integration/trend_MovingAverage/cycle_5/ar_12/test_artificial_32_Integration_MovingAverage_5_12_0.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "MovingAverage", cycle_length = 5, transform = "Integration", sigma = 0.0, exog_count = 0, ar_order = 12); | 39.142857 | 169 | 0.737226 |
72a12b17c30ad937907bbfe48a27937878657ea1 | 705 | py | Python | operators/sampling/random_sampling.py | f4nku4n/MOENAS-TF-PSI | 5e25df9143a09ffdcfbb4d03851b919aed60003a | [
"MIT"
] | null | null | null | operators/sampling/random_sampling.py | f4nku4n/MOENAS-TF-PSI | 5e25df9143a09ffdcfbb4d03851b919aed60003a | [
"MIT"
] | null | null | null | operators/sampling/random_sampling.py | f4nku4n/MOENAS-TF-PSI | 5e25df9143a09ffdcfbb4d03851b919aed60003a | [
"MIT"
] | null | null | null | from model.population import Population
from utils import get_hashKey
class RandomSampling:
def __init__(self, nSamples=0):
self.nSamples = nSamples
def do(self, problem, **kwargs):
problem_name = problem.name
P = Population(self.nSamples)
n = 0
P_hash_key = []
... | 27.115385 | 55 | 0.550355 |
580b8e37127e85e0caffc1105fc0229b3044289f | 4,415 | py | Python | moderngl_window/meta/program.py | DavideRuzza/moderngl-window | e9debc6ed4a1899aa83c0da2320e03b0c2922b80 | [
"MIT"
] | 142 | 2019-11-11T23:14:28.000Z | 2022-03-29T08:37:03.000Z | moderngl_window/meta/program.py | DavideRuzza/moderngl-window | e9debc6ed4a1899aa83c0da2320e03b0c2922b80 | [
"MIT"
] | 107 | 2019-10-31T20:31:45.000Z | 2022-03-23T15:01:41.000Z | moderngl_window/meta/program.py | DavideRuzza/moderngl-window | e9debc6ed4a1899aa83c0da2320e03b0c2922b80 | [
"MIT"
] | 36 | 2019-12-12T16:14:10.000Z | 2022-01-18T22:58:21.000Z | from typing import List
from moderngl_window.meta.base import ResourceDescription
class ProgramDescription(ResourceDescription):
"""Describes a program to load
By default a program can be loaded in the following ways:
- By supplying a `path` to s single glsl file containing all shaders
- B... | 35.039683 | 83 | 0.598641 |
6b6275971c2c2c93ef056ea14daf1275cb7b38e2 | 11,053 | py | Python | zoo/analytics/tasks/utils.py | aexvir/the-zoo | 7816afb9a0a26c6058b030b4a987c73e952d92bd | [
"MIT"
] | 90 | 2018-11-20T10:58:24.000Z | 2022-02-19T16:12:46.000Z | zoo/analytics/tasks/utils.py | kiwicom/the-zoo | fee0108ea7b65112e5b572a146cff4b1c54033fd | [
"MIT"
] | 348 | 2018-11-21T09:22:31.000Z | 2021-11-03T13:45:08.000Z | zoo/analytics/tasks/utils.py | aexvir/the-zoo | 7816afb9a0a26c6058b030b4a987c73e952d92bd | [
"MIT"
] | 11 | 2018-12-08T18:42:07.000Z | 2021-02-21T06:27:58.000Z | import re
from typing import Optional
import structlog
log = structlog.get_logger()
def parse_version(raw_version: str) -> str:
"""Resolve semantic versioning used in javascript packages."""
try:
validate_version(raw_version)
except ValueError:
log.exception("analytics.utils.parse_versio... | 35.088889 | 108 | 0.570252 |
fe9d3e970caa858bc4e75aa0dab31c4140a120ca | 3,626 | py | Python | tests/unit/test_sink/test_rdf_sink.py | kevinschaper/kgx | 4c129428131047af4506a93fe8dc54fb92a7c702 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_sink/test_rdf_sink.py | kevinschaper/kgx | 4c129428131047af4506a93fe8dc54fb92a7c702 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_sink/test_rdf_sink.py | kevinschaper/kgx | 4c129428131047af4506a93fe8dc54fb92a7c702 | [
"BSD-3-Clause"
] | null | null | null | import os
import pytest
import rdflib
from kgx.sink import RdfSink
from tests import TARGET_DIR
from tests.unit.test_sink import get_graph
def test_write_rdf1():
"""
Write a graph as RDF N-Triples using RdfSink.
"""
graph = get_graph()
filename = os.path.join(TARGET_DIR, 'test_graph1.nt')
s... | 27.263158 | 89 | 0.608384 |
200f5625d034013153bc777bbedae61457a783c6 | 4,626 | py | Python | render_swap_matrix.py | EdwardJTL/Edit3D | bbb6364aeb5ea17c12c0c23578268641c066ebca | [
"MIT"
] | null | null | null | render_swap_matrix.py | EdwardJTL/Edit3D | bbb6364aeb5ea17c12c0c23578268641c066ebca | [
"MIT"
] | null | null | null | render_swap_matrix.py | EdwardJTL/Edit3D | bbb6364aeb5ea17c12c0c23578268641c066ebca | [
"MIT"
] | null | null | null | import math
import numpy as np
import os
import torch
from torch_ema import ExponentialMovingAverage
from torchvision.utils import save_image
from PIL import Image, ImageDraw, ImageFont
import curriculums
import network_config
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def generate_imag... | 30.235294 | 123 | 0.591224 |
54b12a6122c9dff8d73d6a2e803697e4ecfab3d5 | 19,926 | py | Python | panel/interact.py | ahuang11/panel | a0e38316701cac5293da6de3441010c0ff5719da | [
"BSD-3-Clause"
] | null | null | null | panel/interact.py | ahuang11/panel | a0e38316701cac5293da6de3441010c0ff5719da | [
"BSD-3-Clause"
] | null | null | null | panel/interact.py | ahuang11/panel | a0e38316701cac5293da6de3441010c0ff5719da | [
"BSD-3-Clause"
] | null | null | null | """
Interact with functions using widgets.
The interact Pane implemented in this module mirrors
ipywidgets.interact in its API and implementation. Large parts of the
code were copied directly from ipywidgets:
Copyright (c) Jupyter Development Team and PyViz Development Team.
Distributed under the terms of the Modifie... | 37.954286 | 118 | 0.576383 |
700b6392a8bc4a75f74dacf5b43148ec6f4de8b3 | 521 | py | Python | DDQN/FRED/a5.py | liu1355/dl_fin | 9a4be858127be0daa96cc8bb5cfed9d14f7912b8 | [
"MIT"
] | null | null | null | DDQN/FRED/a5.py | liu1355/dl_fin | 9a4be858127be0daa96cc8bb5cfed9d14f7912b8 | [
"MIT"
] | null | null | null | DDQN/FRED/a5.py | liu1355/dl_fin | 9a4be858127be0daa96cc8bb5cfed9d14f7912b8 | [
"MIT"
] | 1 | 2018-04-11T06:15:00.000Z | 2018-04-11T06:15:00.000Z | import csv
import requests
import pandas as pd
FRED_CPILFESL = 'https://www.quandl.com/api/v3/datasets/FRED/CPILFESL/data.csv?api_key=6CbgFEPrywyyFy1yNywC'
with requests.Session() as s:
download = s.get(FRED_CPILFESL)
decoded_content = download.content.decode('utf-8')
cr = csv.reader(decoded_content.spl... | 28.944444 | 108 | 0.731286 |
98761324df43b471ebdc74daef2d700e940612e6 | 9,689 | py | Python | homeassistant/components/deconz/light.py | mtarjoianu/core | 44e9146463ac505eb3d1c0651ad126cb25c28a54 | [
"Apache-2.0"
] | 1 | 2022-02-21T05:50:41.000Z | 2022-02-21T05:50:41.000Z | homeassistant/components/deconz/light.py | mtarjoianu/core | 44e9146463ac505eb3d1c0651ad126cb25c28a54 | [
"Apache-2.0"
] | 12 | 2021-12-16T06:18:49.000Z | 2022-03-31T06:25:54.000Z | homeassistant/components/deconz/light.py | mtarjoianu/core | 44e9146463ac505eb3d1c0651ad126cb25c28a54 | [
"Apache-2.0"
] | 1 | 2022-02-24T16:07:32.000Z | 2022-02-24T16:07:32.000Z | """Support for deCONZ lights."""
from __future__ import annotations
from typing import Any
from pydeconz.group import Group
from pydeconz.light import (
ALERT_LONG,
ALERT_SHORT,
EFFECT_COLOR_LOOP,
EFFECT_NONE,
Light,
)
from homeassistant.components.light import (
ATTR_BRIGHTNESS,
ATTR_COL... | 32.082781 | 86 | 0.642068 |
e3822edef58c9c1b83da3c56eeef242e031e0b17 | 1,917 | py | Python | results/lmg_different_spinnumbers_20190228/script_lmg_doublebang_powell_150spins.py | lucainnocenti/ultrafast-critical-ground-state-preparation-2007.07381 | 29f80dcf914096555cee9bc2e18249a2c95d6a50 | [
"MIT"
] | 1 | 2020-07-21T02:31:41.000Z | 2020-07-21T02:31:41.000Z | results/lmg_different_spinnumbers_20190228/script_lmg_doublebang_powell_150spins.py | lucainnocenti/ultrafast-critical-ground-state-preparation-2007.07381 | 29f80dcf914096555cee9bc2e18249a2c95d6a50 | [
"MIT"
] | null | null | null | results/lmg_different_spinnumbers_20190228/script_lmg_doublebang_powell_150spins.py | lucainnocenti/ultrafast-critical-ground-state-preparation-2007.07381 | 29f80dcf914096555cee9bc2e18249a2c95d6a50 | [
"MIT"
] | null | null | null | import os
import sys
import numpy as np
import pandas as pd
import logging
if '../../' not in sys.path:
sys.path.append('../../')
import src.optimization as optimization
model = 'lmg'
model_parameters = dict(num_spins=150)
protocol = 'doublebang'
optimization_method = 'Powell'
# ------ build and check name for... | 29.045455 | 70 | 0.708399 |
a19ecaa9abeb8d066fa8d0ddcc3af644e28e747b | 13,958 | py | Python | PyCommon/modules/Motion/ysBipedAnalysis.py | snumrl/DataDrivenBipedController | 68ecaa17790ebf3039ae8c0b91d21fab4829bb8c | [
"Apache-2.0",
"MIT"
] | 7 | 2018-08-17T10:25:56.000Z | 2021-09-01T11:28:56.000Z | PyCommon/modules/Motion/ysBipedAnalysis.py | snumrl/DataDrivenBipedController | 68ecaa17790ebf3039ae8c0b91d21fab4829bb8c | [
"Apache-2.0",
"MIT"
] | null | null | null | PyCommon/modules/Motion/ysBipedAnalysis.py | snumrl/DataDrivenBipedController | 68ecaa17790ebf3039ae8c0b91d21fab4829bb8c | [
"Apache-2.0",
"MIT"
] | 5 | 2017-01-05T09:22:58.000Z | 2021-07-26T15:13:19.000Z | # +-------------------------------------------------------------------------
# | ysBipedAnalysis.py
# |
# | Author: Yoonsang Lee
# +-------------------------------------------------------------------------
# | COPYRIGHT:
# | Copyright Yoonsang Lee 2013
# | See the included COPYRIGHT.txt file for further de... | 42.042169 | 136 | 0.616707 |
1c22fb8e6b7882a97f0d08c0dc1552022758f3a3 | 3,644 | py | Python | vsgia_model/models/gazenet.py | nkuhzx/VSG-IA | 075b58c2bf89562cc197e721f050396589861c6a | [
"Apache-2.0"
] | null | null | null | vsgia_model/models/gazenet.py | nkuhzx/VSG-IA | 075b58c2bf89562cc197e721f050396589861c6a | [
"Apache-2.0"
] | null | null | null | vsgia_model/models/gazenet.py | nkuhzx/VSG-IA | 075b58c2bf89562cc197e721f050396589861c6a | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from vsgia_model.models.scenepathway import SceneNet
from vsgia_model.models.headpathway import HeadNet
from vsgia_model.models.vsgat import GraphDealModule
from vsgia_model.models.decoder import HeatmapDecoder,InoutDecoder
from vs... | 33.127273 | 128 | 0.692371 |
e406cab11849df8fe2ebeee1593d7edcf9771c35 | 10,127 | py | Python | teafacto/scripts/atis/atisseqtrans.py | lukovnikov/teafacto | 5e863df8d061106ad705c0837f2d2ca4e08db0e4 | [
"MIT"
] | 2 | 2016-06-28T23:41:42.000Z | 2017-01-14T12:41:36.000Z | teafacto/scripts/atis/atisseqtrans.py | lukovnikov/teafacto | 5e863df8d061106ad705c0837f2d2ca4e08db0e4 | [
"MIT"
] | 1 | 2016-04-20T20:09:20.000Z | 2016-08-17T19:02:47.000Z | teafacto/scripts/atis/atisseqtrans.py | lukovnikov/teafacto | 5e863df8d061106ad705c0837f2d2ca4e08db0e4 | [
"MIT"
] | 5 | 2016-07-18T17:05:18.000Z | 2018-10-13T05:40:05.000Z | import pickle
import numpy as np
import os
import theano
from theano import tensor as TT
from teafacto.blocks.seq.trans import SimpleSeqTrans
#from teafacto.blocks.seq.oldseqproc import SimpleSeqTransducer as SimpleSeqTrans
from teafacto.blocks.seq.rnu import GRU
from teafacto.blocks.basic import Softmax
from teafact... | 35.533333 | 179 | 0.59761 |
f9c40a9173e451d4d42765eb25e7ade7ff3c26fc | 294 | py | Python | output/models/nist_data/atomic/unsigned_int/schema_instance/nistschema_sv_iv_atomic_unsigned_int_max_inclusive_5_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/atomic/unsigned_int/schema_instance/nistschema_sv_iv_atomic_unsigned_int_max_inclusive_5_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/atomic/unsigned_int/schema_instance/nistschema_sv_iv_atomic_unsigned_int_max_inclusive_5_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.atomic.unsigned_int.schema_instance.nistschema_sv_iv_atomic_unsigned_int_max_inclusive_5_xsd.nistschema_sv_iv_atomic_unsigned_int_max_inclusive_5 import NistschemaSvIvAtomicUnsignedIntMaxInclusive5
__all__ = [
"NistschemaSvIvAtomicUnsignedIntMaxInclusive5",
]
| 49 | 226 | 0.908163 |
112bfdbc296142da194e58ddc0600b4aeb452536 | 25,093 | py | Python | selfdrive/car/honda/interface.py | TMORI135/openpilot | bc986477eb34f554933caafeac71538c57fb6838 | [
"MIT"
] | 65 | 2019-07-27T11:27:02.000Z | 2022-02-03T09:10:38.000Z | selfdrive/car/honda/interface.py | TMORI135/openpilot | bc986477eb34f554933caafeac71538c57fb6838 | [
"MIT"
] | 41 | 2018-08-01T17:36:08.000Z | 2020-12-16T02:42:57.000Z | selfdrive/car/honda/interface.py | TMORI135/openpilot | bc986477eb34f554933caafeac71538c57fb6838 | [
"MIT"
] | 229 | 2019-07-27T20:31:02.000Z | 2021-09-21T11:02:49.000Z | #!/usr/bin/env python3
import numpy as np
from cereal import car
from common.numpy_fast import clip, interp
from common.realtime import DT_CTRL
from selfdrive.swaglog import cloudlog
from selfdrive.config import Conversions as CV
from selfdrive.controls.lib.events import ET
from selfdrive.car.honda.values import Cruise... | 43.868881 | 144 | 0.654724 |
f4eb7eab9ac7d24a5769c0e2c707eee23cf45891 | 16,588 | py | Python | access_course/views.py | monishnarwani/access_course | 0f262f381768fbe8f1a77ca861d1c2efd57c76f7 | [
"CNRI-Python",
"RSA-MD",
"OML"
] | null | null | null | access_course/views.py | monishnarwani/access_course | 0f262f381768fbe8f1a77ca861d1c2efd57c76f7 | [
"CNRI-Python",
"RSA-MD",
"OML"
] | null | null | null | access_course/views.py | monishnarwani/access_course | 0f262f381768fbe8f1a77ca861d1c2efd57c76f7 | [
"CNRI-Python",
"RSA-MD",
"OML"
] | null | null | null | import json
import logging
from django.conf import settings
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import login as django_login, backends
from django.shortcuts import redirect
from django.views import View
from .validations import get_course_key... | 39.779376 | 155 | 0.619122 |
6a0802ab38d61c8e4b6bd25e75e43996ffd2df58 | 809 | py | Python | suorganizer/manage.py | jmcevoy1984/Django-Unleashed | 8c9014ee3bf271dcd86727c131184f7348af75d8 | [
"MIT"
] | null | null | null | suorganizer/manage.py | jmcevoy1984/Django-Unleashed | 8c9014ee3bf271dcd86727c131184f7348af75d8 | [
"MIT"
] | null | null | null | suorganizer/manage.py | jmcevoy1984/Django-Unleashed | 8c9014ee3bf271dcd86727c131184f7348af75d8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "suorganizer.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that ... | 35.173913 | 77 | 0.644005 |
82615d7b86bdb7e4883c5908d1a5476f75819c2c | 79,331 | py | Python | Lab6_python/ssd.py | kmodrick/pynq_v0 | f4a1a71f76f5d3b1fe0aefca0ed3a9e37c21879d | [
"BSD-3-Clause"
] | null | null | null | Lab6_python/ssd.py | kmodrick/pynq_v0 | f4a1a71f76f5d3b1fe0aefca0ed3a9e37c21879d | [
"BSD-3-Clause"
] | null | null | null | Lab6_python/ssd.py | kmodrick/pynq_v0 | f4a1a71f76f5d3b1fe0aefca0ed3a9e37c21879d | [
"BSD-3-Clause"
] | null | null | null | """
The code module ssd.py was developed to accompany the book
Signals and Systems for Dummies published by Wiley Publishing.
Copyright 2012, 2013 Mark Wickert, mwickert@uccs.edu
v 1.0
Notes
-----
The primary purpose of this function library is to support the book Signals and Systems for Dummies. Beyond that it shou... | 30.796196 | 362 | 0.578803 |
b45ab968fcd225e68781d4a3bdce360cca46e12b | 1,471 | py | Python | tests/python/test_stop_grad.py | rezahojabr/taichi | 122c0352ec480b740a4118819458cbf08d2e5ddb | [
"MIT"
] | 3 | 2020-01-08T02:58:51.000Z | 2020-10-28T07:01:58.000Z | tests/python/test_stop_grad.py | rezahojabr/taichi | 122c0352ec480b740a4118819458cbf08d2e5ddb | [
"MIT"
] | null | null | null | tests/python/test_stop_grad.py | rezahojabr/taichi | 122c0352ec480b740a4118819458cbf08d2e5ddb | [
"MIT"
] | 1 | 2020-03-25T16:37:00.000Z | 2020-03-25T16:37:00.000Z | import taichi as ti
@ti.all_archs
def test_normal_grad():
x = ti.var(ti.f32)
loss = ti.var(ti.f32)
n = 128
@ti.layout
def place():
ti.root.dense(ti.i, n).place(x)
ti.root.place(loss)
ti.root.lazy_grad()
@ti.kernel
def func():
for i in range(n):
ti.atomic_add(loss, x[i]**2)
fo... | 15.98913 | 46 | 0.563562 |
c8daf392a90a1460c4e64893c8e214df4c2a85d9 | 417 | py | Python | medical_prescription/user/admin.py | thiagonf/Sprint-3-GPP | 89f1dcf4e649f1bbbb8e21ea6b6f8a4565c996e2 | [
"MIT"
] | null | null | null | medical_prescription/user/admin.py | thiagonf/Sprint-3-GPP | 89f1dcf4e649f1bbbb8e21ea6b6f8a4565c996e2 | [
"MIT"
] | 2 | 2020-06-05T18:41:29.000Z | 2021-06-10T20:35:12.000Z | medical_prescription/user/admin.py | thiagonf/Sprint-3-GPP | 89f1dcf4e649f1bbbb8e21ea6b6f8a4565c996e2 | [
"MIT"
] | null | null | null | # Django
from django.contrib import admin
from .models import (
User, HealthProfessional, Patient, UserActivateProfile, ResetPasswordProfile
)
class UserAdmin(admin.ModelAdmin):
list_display = ['email', 'is_active']
admin.site.register(User, UserAdmin)
admin.site.register(HealthProfessional)
admin.site.regi... | 24.529412 | 80 | 0.803357 |
120868393ba9ea0dd010929d4aa3549887ad341d | 2,359 | py | Python | blog/models.py | tarek1500/Python-Blog | d9e8e90c20ad5906139b1468e4d195038dfbfc11 | [
"MIT"
] | null | null | null | blog/models.py | tarek1500/Python-Blog | d9e8e90c20ad5906139b1468e4d195038dfbfc11 | [
"MIT"
] | 5 | 2020-02-27T18:12:25.000Z | 2020-02-27T22:43:52.000Z | blog/models.py | tarek1500/Python-Blog | d9e8e90c20ad5906139b1468e4d195038dfbfc11 | [
"MIT"
] | 1 | 2020-05-16T00:34:02.000Z | 2020-05-16T00:34:02.000Z | from django.db import models
from django.contrib.auth.models import User
import re
# Create your models here.
def stringify(self):
return self.first_name + ' ' + self.last_name
User.add_to_class('__str__', stringify)
class Category(models.Model):
name = models.CharField(max_length = 100)
subscribe = models.ManyT... | 31.453333 | 104 | 0.751166 |
f2573ca35fc374ec3cff6eca72a4f0b6f5f93549 | 712 | py | Python | coding-exercises-avairds/week4-edge-pyramids- contours/part1-edge-pyramids/sobel-operator.py | KyawThuHtun/OpenCV-with-Python | 2c471060d4f2aa4ec45cda5f544a61923e4ea2ed | [
"MIT"
] | 2 | 2021-06-30T04:56:51.000Z | 2021-06-30T04:57:11.000Z | coding-exercises-avairds/week4-edge-pyramids- contours/part1-edge-pyramids/sobel-operator.py | KyawThuHtun/OpenCV-with-Python | 2c471060d4f2aa4ec45cda5f544a61923e4ea2ed | [
"MIT"
] | null | null | null | coding-exercises-avairds/week4-edge-pyramids- contours/part1-edge-pyramids/sobel-operator.py | KyawThuHtun/OpenCV-with-Python | 2c471060d4f2aa4ec45cda5f544a61923e4ea2ed | [
"MIT"
] | 6 | 2020-08-03T02:29:48.000Z | 2020-08-09T13:21:23.000Z | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread("sudoku1.jpg", cv.IMREAD_GRAYSCALE) # read image as grayscale
sobelX = cv.Sobel(img, cv.CV_64F, 1, 0) # derivative with intensities along x direction
sobelY = cv.Sobel(img, cv.CV_64F, 0, 1) # derivative with intensities along ... | 30.956522 | 88 | 0.703652 |
ba6b16a5bc12e5d07e067ae56db8bc395143af3d | 1,008 | py | Python | details_generator.py | Emotional-Support/discordaltgen | 7be376dc372258d824fdabb3edac07ebeba6e8d9 | [
"Apache-2.0"
] | null | null | null | details_generator.py | Emotional-Support/discordaltgen | 7be376dc372258d824fdabb3edac07ebeba6e8d9 | [
"Apache-2.0"
] | null | null | null | details_generator.py | Emotional-Support/discordaltgen | 7be376dc372258d824fdabb3edac07ebeba6e8d9 | [
"Apache-2.0"
] | null | null | null | import random
def rand_gen_email():
email = "".join(random.choice("abcdefghijklmnopqrstuvwxyz1234567890") for _ in range(10))
return email
def rand_gen_user():
username = "".join(random.choice("abcdefghijklmnopqrstuvwxyz1234567890") for _ in range(10))
return username
def rand_gen_pass():
pass... | 22.909091 | 96 | 0.679563 |
32c77b7664d10c25be334946ad452799fc0f6fce | 85,570 | py | Python | python3-virtualenv/lib/python3.8/site-packages/sqlalchemy/dialects/oracle/base.py | bbalkaransingh23888/OrientationHack | 7eae6cce1226112c000ea8a175f6dc5a82ee0ac2 | [
"MIT"
] | null | null | null | python3-virtualenv/lib/python3.8/site-packages/sqlalchemy/dialects/oracle/base.py | bbalkaransingh23888/OrientationHack | 7eae6cce1226112c000ea8a175f6dc5a82ee0ac2 | [
"MIT"
] | null | null | null | python3-virtualenv/lib/python3.8/site-packages/sqlalchemy/dialects/oracle/base.py | bbalkaransingh23888/OrientationHack | 7eae6cce1226112c000ea8a175f6dc5a82ee0ac2 | [
"MIT"
] | null | null | null | # oracle/base.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
r"""
.. dialect:: oracle
:name: Oracle
:full_support: 11.2, 18c
:normal_s... | 34.983647 | 88 | 0.606685 |
00ca64f892f149d7e713a3d92d09bc63e2ff734d | 1,108 | py | Python | utils/bitsmaker.py | tmichalak/prjuray | 53f3c94b58ffc6d405ac20a3b340ae726717ed47 | [
"0BSD"
] | 39 | 2020-07-17T19:43:40.000Z | 2022-01-07T02:05:48.000Z | utils/bitsmaker.py | tmichalak/prjuray | 53f3c94b58ffc6d405ac20a3b340ae726717ed47 | [
"0BSD"
] | 24 | 2020-07-17T20:15:54.000Z | 2022-01-21T08:29:51.000Z | utils/bitsmaker.py | tmichalak/prjuray | 53f3c94b58ffc6d405ac20a3b340ae726717ed47 | [
"0BSD"
] | 11 | 2020-07-17T19:43:45.000Z | 2022-02-09T08:43:23.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (C) 2020 The Project U-Ray Authors.
#
# Use of this source code is governed by a ISC-style
# license that can be found in the LICENSE file or at
# https://opensource.org/licenses/ISC
#
# SPDX-License-Identifier: ISC
from utils import bitstream
def write(b... | 25.181818 | 66 | 0.597473 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.