hexsha stringlengths 40 40 | size int64 4 1.02M | ext stringclasses 8
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 209 | max_stars_repo_name stringlengths 5 121 | max_stars_repo_head_hexsha stringlengths 40 40 | 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 4 209 | max_issues_repo_name stringlengths 5 121 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | 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 4 209 | max_forks_repo_name stringlengths 5 121 | max_forks_repo_head_hexsha stringlengths 40 40 | 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 4 1.02M | avg_line_length float64 1.07 66.1k | max_line_length int64 4 266k | alphanum_fraction float64 0.01 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
414f7280cd93e5089d6f6aa6dc83bc369a28e220 | 67 | py | Python | plugins/rest/komand_rest/actions/delete/__init__.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/rest/komand_rest/actions/delete/__init__.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/rest/komand_rest/actions/delete/__init__.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | # GENERATED BY KOMAND SDK - DO NOT EDIT
from .action import Delete
| 22.333333 | 39 | 0.761194 |
c14ade6f148776a9ecf8a30fd7efd742c87f2343 | 7,800 | py | Python | python_modules/dagster-graphql/dagster_graphql_tests/graphql/execution_queries.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 3 | 2020-04-28T16:27:33.000Z | 2020-07-22T07:43:30.000Z | python_modules/dagster-graphql/dagster_graphql_tests/graphql/execution_queries.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster-graphql/dagster_graphql_tests/graphql/execution_queries.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 1 | 2021-02-21T12:16:47.000Z | 2021-02-21T12:16:47.000Z | FRAGMENTS = '''
fragment metadataEntryFragment on EventMetadataEntry {
label
description
... on EventPathMetadataEntry {
path
}
... on EventJsonMetadataEntry {
jsonString
}
... on EventTextMetadataEntry {
text
}
... on EventUrlMetadataEntry {
url
}... | 23.214286 | 85 | 0.436538 |
5daa563bb23075763431da94804e01f024a06eb7 | 60 | py | Python | autowebprint/displays/__init__.py | CreeperLin/autowebprint | 9a38155b61ed94c7844abcdb0d33ebfdd4a23148 | [
"MIT"
] | 1 | 2021-04-16T08:18:58.000Z | 2021-04-16T08:18:58.000Z | autowebprint/displays/__init__.py | CreeperLin/autowebprint | 9a38155b61ed94c7844abcdb0d33ebfdd4a23148 | [
"MIT"
] | null | null | null | autowebprint/displays/__init__.py | CreeperLin/autowebprint | 9a38155b61ed94c7844abcdb0d33ebfdd4a23148 | [
"MIT"
] | null | null | null | from .xvfb import XvfbDisplay
from .none import NoneDisplay
| 20 | 29 | 0.833333 |
68f87e350bfcf97845c5f8fa9864b2101c30381e | 971 | py | Python | sanic_apache_accesslogs/templates.py | arnulfojr/sanic-apache-access-logs | d690f7399545e1d26116a24a144b56e2faca7729 | [
"MIT"
] | 1 | 2018-05-19T06:56:00.000Z | 2018-05-19T06:56:00.000Z | sanic_apache_accesslogs/templates.py | arnulfojr/sanic_apache_accesslogs | d690f7399545e1d26116a24a144b56e2faca7729 | [
"MIT"
] | null | null | null | sanic_apache_accesslogs/templates.py | arnulfojr/sanic_apache_accesslogs | d690f7399545e1d26116a24a144b56e2faca7729 | [
"MIT"
] | null | null | null | import sys
# Logger Template
LOGGER_DEFAULT = {
'level': 'INFO',
'handlers': [],
'propagate': True,
'qualname': ''
}
# Handler template for stdout
HANDLER_TEMPLATE = {
'class': 'logging.StreamHandler',
'formatter': '',
'stream': sys.stdout,
'level': 'INFO'
}
# Logging dict configur... | 23.119048 | 63 | 0.450051 |
48d62c50258f77c9df5eb7d1bccd6cff91088029 | 828 | py | Python | lib/ult/timer.py | DirtyHarryLYL/DJ-RN | 7f362693f433d49e2fb5c0fc6216218d464c612b | [
"Apache-2.0"
] | 96 | 2020-03-07T09:23:56.000Z | 2022-01-05T08:31:59.000Z | lib/ult/timer.py | DirtyHarryLYL/DJ-RN | 7f362693f433d49e2fb5c0fc6216218d464c612b | [
"Apache-2.0"
] | 71 | 2020-04-21T07:25:51.000Z | 2022-03-01T12:17:06.000Z | lib/ult/timer.py | DirtyHarryLYL/DJ-RN | 7f362693f433d49e2fb5c0fc6216218d464c612b | [
"Apache-2.0"
] | 14 | 2020-04-20T08:53:10.000Z | 2022-02-27T05:24:23.000Z | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import time
class Timer(object):
"""A simple timer."""
def __i... | 26.709677 | 58 | 0.507246 |
c8cb5b67a626dcfbbe32bad305c1ba898cafffc7 | 1,083 | py | Python | main.py | joy-mdy-geo/ufc | 634d480423f6da3beefe7ab0fad9b409e8bf6b16 | [
"MIT"
] | 1 | 2018-11-02T01:07:28.000Z | 2018-11-02T01:07:28.000Z | main.py | joy-mdy-geo/ufc | 634d480423f6da3beefe7ab0fad9b409e8bf6b16 | [
"MIT"
] | 4 | 2018-08-24T04:33:16.000Z | 2018-09-04T05:54:39.000Z | main.py | joy-mdy-geo/ufc | 634d480423f6da3beefe7ab0fad9b409e8bf6b16 | [
"MIT"
] | 2 | 2018-08-24T12:37:33.000Z | 2018-08-26T10:06:45.000Z | from flask import Flask, render_template, jsonify, request
import controller
import pyperclip
app = Flask(__name__)
@app.route('/')
@app.route('/index')
def index():
return render_template('index.html')
@app.route('/detect')
def detect():
return render_template('detect.html')
@app.route('/about')
def abo... | 20.055556 | 67 | 0.68144 |
89bc6e734b376eda440de91c5a669928d0410148 | 3,823 | py | Python | poly.py | HenrySwanson/math-lib | 17a15062ae7502b2e9528d9be976fb57f169de53 | [
"MIT"
] | null | null | null | poly.py | HenrySwanson/math-lib | 17a15062ae7502b2e9528d9be976fb57f169de53 | [
"MIT"
] | null | null | null | poly.py | HenrySwanson/math-lib | 17a15062ae7502b2e9528d9be976fb57f169de53 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from itertools import zip_longest
from ring import Ring, RingElt, RingProperties
import collections
from typing import TypeVar, Sequence, List, Union
class PolyRingElt(RingElt):
domain: "PolyRing"
coeffs: List[RingElt]
# Basics
def __init__(self, domain: "PolyRing", coeffs: Un... | 28.110294 | 88 | 0.579126 |
0af43bf6c4364ad616066a1dec4e034857a683a5 | 12,939 | py | Python | tests/lib/test_ntp.py | intel-hpdd/iml-common | 096c96fec661a76f0812869560f28d55c7aafe8f | [
"MIT"
] | 1 | 2018-02-13T13:37:08.000Z | 2018-02-13T13:37:08.000Z | tests/lib/test_ntp.py | intel-hpdd/iml-common | 096c96fec661a76f0812869560f28d55c7aafe8f | [
"MIT"
] | 27 | 2017-06-22T13:00:17.000Z | 2018-05-16T19:55:13.000Z | tests/lib/test_ntp.py | intel-hpdd/iml-common | 096c96fec661a76f0812869560f28d55c7aafe8f | [
"MIT"
] | 2 | 2018-06-18T08:51:29.000Z | 2019-04-30T07:49:43.000Z | import mock
from django.utils import unittest
from iml_common.lib.ntp import NTPConfig
class TestNTPConfig(unittest.TestCase):
""" Test class for NTPConfig """
def setUp(self):
super(TestNTPConfig, self).setUp()
self.ntp = NTPConfig()
# Static assignments for use in tests
se... | 46.376344 | 115 | 0.615117 |
b2538e8a4602b41fcae889f438bf4faa6a570160 | 1,758 | py | Python | lib/surface/ml_engine/__init__.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/surface/ml_engine/__init__.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/surface/ml_engine/__init__.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | 1 | 2020-07-24T20:13:29.000Z | 2020-07-24T20:13:29.000Z | # Copyright 2016 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 ag... | 37.404255 | 80 | 0.754835 |
a5e81d044bec4a811f10d98bae822aa474fff321 | 2,765 | py | Python | tag.py | wiloon/pythonx | c6032ce62d3e7dce52756fc1fcf938cd970bc2fb | [
"Apache-2.0"
] | null | null | null | tag.py | wiloon/pythonx | c6032ce62d3e7dce52756fc1fcf938cd970bc2fb | [
"Apache-2.0"
] | null | null | null | tag.py | wiloon/pythonx | c6032ce62d3e7dce52756fc1fcf938cd970bc2fb | [
"Apache-2.0"
] | null | null | null | import os
import logging
logging.basicConfig(level=logging.DEBUG)
subTitleSet = set([])
articleIndex = 0
for root, dirs, files in os.walk("/home/wiloon/workspace/my-projects/wiloon.com/content/post"):
logging.debug("file list size: " + str(len(files)))
for name in files:
fullName = os.path.join(root, n... | 33.719512 | 95 | 0.520796 |
36b325195548d6e052e32890a37957f2011f5fc4 | 37,825 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/ovirt/ovirt/plugins/modules/ovirt_disk.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/ovirt/ovirt/plugins/modules/ovirt_disk.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/ovirt/ovirt/plugins/modules/ovirt_disk.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016 Red Hat, Inc.
# 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 = '''
---
module: ovirt_disk
short_descripti... | 41.024946 | 152 | 0.612108 |
7bd84c9f9d0569c02d68b50300a57d2b50652ef6 | 693 | py | Python | emql/adapters/__init__.py | google/pymql | 22e39ed3ae7630f80924ffc6fdd90bfa1f795f49 | [
"Apache-2.0"
] | 10 | 2020-08-05T19:13:21.000Z | 2022-03-15T19:11:21.000Z | emql/adapters/__init__.py | teeler/pymql | 22e39ed3ae7630f80924ffc6fdd90bfa1f795f49 | [
"Apache-2.0"
] | 1 | 2020-08-05T03:08:32.000Z | 2020-08-05T03:08:32.000Z | emql/adapters/__init__.py | teeler/pymql | 22e39ed3ae7630f80924ffc6fdd90bfa1f795f49 | [
"Apache-2.0"
] | 6 | 2020-08-05T03:07:39.000Z | 2021-11-16T11:23:21.000Z | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.65 | 74 | 0.757576 |
00f39da220a46174fa51f87a6efa26838c317b23 | 21,926 | py | Python | python/jsbeautifier/javascript/tokenizer.py | scil/js-beautify | 97caa308491e1379b226c514f677fa4f278e15d4 | [
"MIT"
] | null | null | null | python/jsbeautifier/javascript/tokenizer.py | scil/js-beautify | 97caa308491e1379b226c514f677fa4f278e15d4 | [
"MIT"
] | null | null | null | python/jsbeautifier/javascript/tokenizer.py | scil/js-beautify | 97caa308491e1379b226c514f677fa4f278e15d4 | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2007-2018 Einar Lielmanis, Liam Newman, and contributors.
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without ... | 35.826797 | 178 | 0.537444 |
41fe6d8e46bee57b6a0d4a084352e79b3d28338f | 99 | py | Python | tasks/constants.py | ntk148v/csi-gcs | cf1db7c5febacf4e68aa5c4411cca68b08935570 | [
"Apache-2.0",
"MIT"
] | null | null | null | tasks/constants.py | ntk148v/csi-gcs | cf1db7c5febacf4e68aa5c4411cca68b08935570 | [
"Apache-2.0",
"MIT"
] | null | null | null | tasks/constants.py | ntk148v/csi-gcs | cf1db7c5febacf4e68aa5c4411cca68b08935570 | [
"Apache-2.0",
"MIT"
] | null | null | null | GCSFUSE_VERSION = '0.40.0'
REPO = 'ofekmeister'
IMAGE = 'csi-gcs'
DRIVER_NAME = f'{REPO}/{IMAGE}'
| 16.5 | 31 | 0.666667 |
f219fe2400179f33bc6aed780294f6a2f8f8fca9 | 1,017 | py | Python | examples/basic_metadata.py | Voyz/databay | a13edd548bf6a9f651230134ac357d848b6d55e0 | [
"Apache-2.0"
] | 175 | 2020-08-20T12:59:42.000Z | 2021-12-30T05:33:32.000Z | examples/basic_metadata.py | 00mjk/databay | b11a43b02bed001d0aef89f796b63dfba2da7363 | [
"Apache-2.0"
] | 25 | 2020-08-23T19:56:53.000Z | 2021-04-08T03:14:35.000Z | examples/basic_metadata.py | 00mjk/databay | b11a43b02bed001d0aef89f796b63dfba2da7363 | [
"Apache-2.0"
] | 11 | 2020-08-29T14:18:40.000Z | 2021-06-29T05:34:09.000Z | from datetime import timedelta
from databay import Link
from databay.inlets import RandomIntInlet
from databay.outlet import Outlet
from databay.planners import SchedulePlanner
from databay.record import Record
class ConditionalPrintOutlet(Outlet):
SHOULD_PRINT = 'ConditionalPrintOutlet.SHOULD_PRINT'
"""Whe... | 29.057143 | 58 | 0.747296 |
6859e528cc2f8bc21df0fc113e476030678142f7 | 469 | py | Python | hpc-historias-clinicas/epicrisis/migrations/0003_auto_20150510_1157.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/epicrisis/migrations/0003_auto_20150510_1157.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/epicrisis/migrations/0003_auto_20150510_1157.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('epicrisis', '0002_auto_20150510_1155'),
]
operations = [
migrations.AlterField(
model_name='epicrisis',
... | 22.333333 | 75 | 0.616205 |
f9a44e6241a3b0b1849066b92d31001304ae9925 | 69 | py | Python | backend/api/gunicorn_conf.py | Anyesh/mychef | 7d83f947e939847d7f41df9e8fd174cf3f914c46 | [
"MIT"
] | null | null | null | backend/api/gunicorn_conf.py | Anyesh/mychef | 7d83f947e939847d7f41df9e8fd174cf3f914c46 | [
"MIT"
] | null | null | null | backend/api/gunicorn_conf.py | Anyesh/mychef | 7d83f947e939847d7f41df9e8fd174cf3f914c46 | [
"MIT"
] | null | null | null | bind = "0.0.0.0:8000"
worker_class = "uvicorn.workers.UvicornWorker"
| 23 | 46 | 0.73913 |
8ba7050fc8e27da058dcea3b03456d7cd774dee0 | 633 | py | Python | setup.py | what-digital/aldryn-basic-auth | 175b9ef003ddcb1c5c908eca4c01302165c61c13 | [
"MIT"
] | null | null | null | setup.py | what-digital/aldryn-basic-auth | 175b9ef003ddcb1c5c908eca4c01302165c61c13 | [
"MIT"
] | null | null | null | setup.py | what-digital/aldryn-basic-auth | 175b9ef003ddcb1c5c908eca4c01302165c61c13 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from aldryn_basic_auth import __version__
REQUIREMENTS = [
# dependency for constance database backend
'django-picklefield>=0.3.2',
# dependency for managing settings via admin
'django-constance',
'aldryn-addons',
'six',
]
se... | 23.444444 | 48 | 0.690363 |
38e461afb371eedfed33470aa7053283c3e3c970 | 631 | py | Python | init/knn.py | salildabholkar/Machine-Learning | 9de82f84977e3c60262f5474d5c11171b76c0915 | [
"MIT"
] | null | null | null | init/knn.py | salildabholkar/Machine-Learning | 9de82f84977e3c60262f5474d5c11171b76c0915 | [
"MIT"
] | null | null | null | init/knn.py | salildabholkar/Machine-Learning | 9de82f84977e3c60262f5474d5c11171b76c0915 | [
"MIT"
] | null | null | null | from sklearn.model_selection import train_test_split
from sklearn.datasets import make_classification
from code import knn
from utils.helpers import accuracy
def knn_init():
X, y = make_classification(n_samples=1000, n_features=5, n_informative=5,
n_redundant=0, n_classes=3)
X... | 27.434783 | 89 | 0.709984 |
c0e0296ecfcc5946541e6286ce0b3f2a9ada5ad2 | 5,784 | py | Python | yelp/campgrounds.py | cwithmichael/yelp-camp-flask | 15d05285ff198256c396e51456a9a88bc836a342 | [
"MIT"
] | null | null | null | yelp/campgrounds.py | cwithmichael/yelp-camp-flask | 15d05285ff198256c396e51456a9a88bc836a342 | [
"MIT"
] | null | null | null | yelp/campgrounds.py | cwithmichael/yelp-camp-flask | 15d05285ff198256c396e51456a9a88bc836a342 | [
"MIT"
] | null | null | null | import functools
from flask import (
Blueprint,
flash,
g,
redirect,
render_template,
request,
session,
url_for,
json,
jsonify,
current_app,
)
import os
import wtforms
import requests
from cloudinary.uploader import upload
from cloudinary.api import delete_resources
from clou... | 33.433526 | 106 | 0.645228 |
6039de2966429b248be65c525939f8e705292489 | 3,794 | py | Python | plugins/helpers.py | savezmalik786/Unlimited-Filter-Bot2 | f2a7b68054ca55d062d9e881f061e4bee7a98358 | [
"MIT"
] | 351 | 2021-03-24T05:31:15.000Z | 2022-03-30T02:01:57.000Z | plugins/helpers.py | savezmalik786/Unlimited-Filter-Bot2 | f2a7b68054ca55d062d9e881f061e4bee7a98358 | [
"MIT"
] | 7 | 2021-03-24T16:57:32.000Z | 2022-02-11T05:09:01.000Z | plugins/helpers.py | savezmalik786/Unlimited-Filter-Bot2 | f2a7b68054ca55d062d9e881f061e4bee7a98358 | [
"MIT"
] | 837 | 2021-03-24T05:49:37.000Z | 2022-03-30T23:48:42.000Z | import re
from typing import List
from pyrogram.types import InlineKeyboardButton
BTN_URL_REGEX = re.compile(
r"(\[([^\[]+?)\]\((buttonurl|buttonalert):(?:/{0,2})(.+?)(:same)?\))"
)
SMART_OPEN = '“'
SMART_CLOSE = '”'
START_CHAR = ('\'', '"', SMART_OPEN)
def split_quotes(text: str) -> List:
if any(text.st... | 31.098361 | 102 | 0.493938 |
0e370c775c1faf7e2338ca28071392b5203e7342 | 147 | py | Python | Layers/__init__.py | michalnand/machine_vision | 66391b78bf1ccfc67bffdfbc6530c6b339334766 | [
"MIT"
] | null | null | null | Layers/__init__.py | michalnand/machine_vision | 66391b78bf1ccfc67bffdfbc6530c6b339334766 | [
"MIT"
] | null | null | null | Layers/__init__.py | michalnand/machine_vision | 66391b78bf1ccfc67bffdfbc6530c6b339334766 | [
"MIT"
] | null | null | null | from .Thresholding import *
from .AdaptiveThresholding import *
from .Edges import *
from .Corners import * | 36.75 | 36 | 0.571429 |
497bd61a79fd4b233fd8a88c93a40cb187ba723c | 1,215 | py | Python | bites/bite214.py | ChidinmaKO/Chobe-bitesofpy | 2f933e6c8877a37d1ce7ef54ea22169fc67417d3 | [
"MIT"
] | null | null | null | bites/bite214.py | ChidinmaKO/Chobe-bitesofpy | 2f933e6c8877a37d1ce7ef54ea22169fc67417d3 | [
"MIT"
] | null | null | null | bites/bite214.py | ChidinmaKO/Chobe-bitesofpy | 2f933e6c8877a37d1ce7ef54ea22169fc67417d3 | [
"MIT"
] | 1 | 2019-07-16T19:12:52.000Z | 2019-07-16T19:12:52.000Z | # def countdown():
# """Write a generator that counts from 100 to 1"""
# number = 100
# while number > 0:
# yield number
# number -= 1
# another way
def countdown():
"""Write a generator that counts from 100 to 1"""
for i in reversed(range(1, 101)):
yield i
... | 27 | 56 | 0.492181 |
ef093c624b9985711bfe0d8340ff632ffd75284b | 4,199 | py | Python | bot/services/message_handling_service.py | andrewpadg/ClemBot | 8f036e7f5bd220d9108481515ff33a85bdf68619 | [
"MIT"
] | null | null | null | bot/services/message_handling_service.py | andrewpadg/ClemBot | 8f036e7f5bd220d9108481515ff33a85bdf68619 | [
"MIT"
] | null | null | null | bot/services/message_handling_service.py | andrewpadg/ClemBot | 8f036e7f5bd220d9108481515ff33a85bdf68619 | [
"MIT"
] | null | null | null | import logging
import re
import discord
import bot.messaging.messenger as messenger
from bot.consts import Colors, DesignatedChannels
from bot.data.message_repository import MessageRepository
from bot.messaging.events import Events
from bot.services.base_service import BaseService
log = logging.getLogger(__name__)
... | 47.715909 | 154 | 0.690641 |
d208b21cfb56c5ebf40da8eb766147dd70eb12f7 | 2,006 | py | Python | shub/login.py | PyExplorer/shub | dc38191e6593f3c012cb89ed1551f8b0dd2981d8 | [
"BSD-3-Clause"
] | 111 | 2015-02-05T15:24:15.000Z | 2022-03-31T03:31:22.000Z | shub/login.py | PyExplorer/shub | dc38191e6593f3c012cb89ed1551f8b0dd2981d8 | [
"BSD-3-Clause"
] | 355 | 2015-01-01T16:18:46.000Z | 2022-03-18T15:41:10.000Z | shub/login.py | PyExplorer/shub | dc38191e6593f3c012cb89ed1551f8b0dd2981d8 | [
"BSD-3-Clause"
] | 79 | 2015-02-23T17:07:32.000Z | 2022-01-03T09:15:39.000Z | from __future__ import absolute_import
import click
import requests
from six.moves import input
from six.moves.urllib.parse import urljoin
from shub.config import (load_shub_config, GLOBAL_SCRAPINGHUB_YML_PATH,
ShubConfig)
from shub.exceptions import AlreadyLoggedInException
from shub.utils im... | 32.885246 | 77 | 0.707378 |
067061ad2378d21750f0d8ced4d88b57e8b9a303 | 1,419 | py | Python | tests/gbe/test_coordinator_performer_autocomplete.py | bethlakshmi/gbe-divio-djangocms-python2.7 | 6e9b2c894162524bbbaaf73dcbe927988707231d | [
"Apache-2.0"
] | 1 | 2021-03-14T11:56:47.000Z | 2021-03-14T11:56:47.000Z | tests/gbe/test_coordinator_performer_autocomplete.py | bethlakshmi/gbe-divio-djangocms-python2.7 | 6e9b2c894162524bbbaaf73dcbe927988707231d | [
"Apache-2.0"
] | 180 | 2019-09-15T19:52:46.000Z | 2021-11-06T23:48:01.000Z | tests/gbe/test_coordinator_performer_autocomplete.py | bethlakshmi/gbe-divio-djangocms-python2.7 | 6e9b2c894162524bbbaaf73dcbe927988707231d | [
"Apache-2.0"
] | null | null | null | from django.test import TestCase
from django.test import Client
from django.urls import reverse
from tests.factories.gbe_factories import (
PersonaFactory,
ProfileFactory,
TroupeFactory,
)
from tests.functions.gbe_functions import (
grant_privilege,
login_as,
)
from gbe.functions import validate_pro... | 34.609756 | 77 | 0.700493 |
419d027f8ad54507c1363f7ee60a4904eaf6dd2c | 313 | py | Python | CamJam EduKit 2 - GPIO Zero/Code/3-temperature.py | CamJam-EduKit/EduKit2 | e7920420fa6b46233304ae57d8eb39255ade3e1e | [
"MIT"
] | 45 | 2016-02-03T21:59:28.000Z | 2021-11-14T02:24:02.000Z | CamJam EduKit 2 - GPIO Zero/Code/3-temperature.py | CamJam-EduKit/EduKit2 | e7920420fa6b46233304ae57d8eb39255ade3e1e | [
"MIT"
] | 7 | 2017-05-24T11:44:31.000Z | 2022-03-13T11:56:08.000Z | CamJam EduKit 2 - GPIO Zero/Code/3-temperature.py | CamJam-EduKit/EduKit2 | e7920420fa6b46233304ae57d8eb39255ade3e1e | [
"MIT"
] | 29 | 2016-02-13T13:37:54.000Z | 2021-04-28T16:43:49.000Z | # CamJam EduKit 2 - Sensors
# Worksheet 3 - Temperature
# Import Libraries
import time
from w1thermsensor import W1ThermSensor
sensor = W1ThermSensor()
# Print out the temperature until the program is stopped.
while True:
print(sensor.get_temperature(W1ThermSensor.DEGREES_C), "Celcius")
time.sleep(1)
| 22.357143 | 69 | 0.769968 |
90fbff5629debabfdc0c690f205d6f044154ade4 | 68,437 | py | Python | src/sage/schemes/elliptic_curves/height.py | switzel/sage | 7eb8510dacf61b691664cd8f1d2e75e5d473e5a0 | [
"BSL-1.0"
] | null | null | null | src/sage/schemes/elliptic_curves/height.py | switzel/sage | 7eb8510dacf61b691664cd8f1d2e75e5d473e5a0 | [
"BSL-1.0"
] | null | null | null | src/sage/schemes/elliptic_curves/height.py | switzel/sage | 7eb8510dacf61b691664cd8f1d2e75e5d473e5a0 | [
"BSL-1.0"
] | 1 | 2020-07-24T12:20:37.000Z | 2020-07-24T12:20:37.000Z | r"""
Canonical heights for elliptic curves over number fields
Also, rigorous lower bounds for the canonical height of non-torsion
points, implementing the algorithms in [CS]_ (over `\QQ`) and [TT]_,
which also refer to [CPS]_.
AUTHORS:
- Robert Bradshaw (2010): initial version
- John Cremona (2014): added many docs... | 33.432829 | 505 | 0.538875 |
845de2f37ed06cb0d42fc3b5e981e9fce3d5e60d | 1,241 | py | Python | challenges/linked_list/linked_list/tests/ll_kth_from_end.py | nsinner1/data-structures-and-algorithms-python | 6c15d3805ba052d6b884c8ddae1c926d81b97118 | [
"MIT"
] | null | null | null | challenges/linked_list/linked_list/tests/ll_kth_from_end.py | nsinner1/data-structures-and-algorithms-python | 6c15d3805ba052d6b884c8ddae1c926d81b97118 | [
"MIT"
] | null | null | null | challenges/linked_list/linked_list/tests/ll_kth_from_end.py | nsinner1/data-structures-and-algorithms-python | 6c15d3805ba052d6b884c8ddae1c926d81b97118 | [
"MIT"
] | null | null | null | import pytest
from linked_list.linked_list import Node, LinkedList
linked_list = LinkedList()
values = ['a', 'b', 'c', 'd','e']
for el in values:
linked_list.insert(el)
def test_list_nodes_order():
assert "e, d, c, b, a" == linked_list.__str__()
@pytest.mark.parametrize("test_input,expected", [(0, 'a'), (1... | 30.268293 | 112 | 0.68332 |
1481725b7bf2d51206c9cd0e3a2a3e33de1415fd | 2,482 | py | Python | Geometry/HGCalCommonData/test/testHGCalWafer_cfg.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 1 | 2020-02-07T11:20:02.000Z | 2020-02-07T11:20:02.000Z | Geometry/HGCalCommonData/test/testHGCalWafer_cfg.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 7 | 2016-07-17T02:34:54.000Z | 2019-08-13T07:58:37.000Z | Geometry/HGCalCommonData/test/testHGCalWafer_cfg.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 1 | 2021-03-04T00:00:02.000Z | 2021-03-04T00:00:02.000Z | import FWCore.ParameterSet.Config as cms
process = cms.Process("PROD")
process.load("SimGeneral.HepPDTESSource.pdt_cfi")
#process.load("Geometry.HGCalCommonData.testHGCV8XML_cfi")
#process.load("Geometry.CMSCommonData.cmsExtendedGeometry2026D35XML_cfi")
#process.load("Geometry.CMSCommonData.cmsExtendedGeometry2026D41X... | 44.321429 | 79 | 0.600725 |
9ac15cffba65be351afefeb9ee8c5dca144dbe66 | 6,094 | py | Python | backend/www/auth_google.py | sleepingAnt/viewfinder | 9caf4e75faa8070d85f605c91d4cfb52c4674588 | [
"Apache-2.0"
] | 645 | 2015-01-03T02:03:59.000Z | 2021-12-03T08:43:16.000Z | backend/www/auth_google.py | hoowang/viewfinder | 9caf4e75faa8070d85f605c91d4cfb52c4674588 | [
"Apache-2.0"
] | null | null | null | backend/www/auth_google.py | hoowang/viewfinder | 9caf4e75faa8070d85f605c91d4cfb52c4674588 | [
"Apache-2.0"
] | 222 | 2015-01-07T05:00:52.000Z | 2021-12-06T09:54:26.000Z | # Copyright 2011 Viewfinder Inc. All Rights Reserved.
"""Authentication and authorization for Google.
The flow via the web application is:
- /register/google: redirects to _OAUTH2_AUTH_URL, asking permission for contacts list,
which in turn redirects to:
- /register/google?code=<auth_code>: sends a requ... | 46.519084 | 107 | 0.70955 |
f1200d2af7a9a35ef57bb5134c257b1e33ae0c52 | 356 | py | Python | examples/redelay_lists/consumer.py | rcelha/redelay | 445c0b8e85a835b44b1d813bf960fa7e27ab245c | [
"MIT"
] | 6 | 2021-05-15T23:13:07.000Z | 2022-02-21T13:58:35.000Z | examples/redelay_lists/consumer.py | rcelha/redelay | 445c0b8e85a835b44b1d813bf960fa7e27ab245c | [
"MIT"
] | null | null | null | examples/redelay_lists/consumer.py | rcelha/redelay | 445c0b8e85a835b44b1d813bf960fa7e27ab245c | [
"MIT"
] | null | null | null | """
consumer.py
Remove 10 items from "timetable:result" and exit
"""
import datetime
import redis
r = redis.Redis(port=6666)
for i in range(10):
now = datetime.datetime.now()
_, timetable_item = r.blpop("timetable:result")
item_time = datetime.datetime.fromtimestamp(float(timetable_item))
print(f"{n... | 20.941176 | 70 | 0.710674 |
be6dc512b83c7afc60d52a7639bafb41257996c8 | 2,665 | py | Python | lib/galaxy/util/filelock.py | innovate-invent/galaxy | 10aa953a40e171246bdd1804c74e8019da8e8200 | [
"CC-BY-3.0"
] | 4 | 2018-10-29T18:34:38.000Z | 2021-09-29T23:30:42.000Z | lib/galaxy/util/filelock.py | innovate-invent/galaxy | 10aa953a40e171246bdd1804c74e8019da8e8200 | [
"CC-BY-3.0"
] | 30 | 2016-10-20T15:35:12.000Z | 2018-10-02T15:59:54.000Z | lib/galaxy/util/filelock.py | innovate-invent/galaxy | 10aa953a40e171246bdd1804c74e8019da8e8200 | [
"CC-BY-3.0"
] | 7 | 2016-11-03T19:11:01.000Z | 2020-05-11T14:23:52.000Z | """Code obtained from https://github.com/dmfrey/FileLock.
See full license at:
https://github.com/dmfrey/FileLock/blob/master/LICENSE.txt
"""
import errno
import os
import time
class FileLockException(Exception):
pass
class FileLock(object):
""" A file locking mechanism that has context-manager support s... | 32.108434 | 84 | 0.589493 |
c2dfc5dd775b4d28f47f70dfa3d2bcb66a5aa132 | 2,156 | py | Python | offline/middleware.py | fedorov/IDC-WebApp | a2e2ef492d6d227c1b617e0da2a77a710e5415a6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 5 | 2020-02-28T16:33:00.000Z | 2021-04-13T16:49:45.000Z | offline/middleware.py | fedorov/IDC-WebApp | a2e2ef492d6d227c1b617e0da2a77a710e5415a6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 436 | 2020-02-11T02:30:52.000Z | 2022-03-31T18:40:45.000Z | offline/middleware.py | fedorov/IDC-WebApp | a2e2ef492d6d227c1b617e0da2a77a710e5415a6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 2 | 2020-10-09T20:24:28.000Z | 2021-06-09T20:32:48.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
#!/usr/bin/python
# -*- coding: utf-8 -*-
from builtins import object
from . import offline
from .views import offline_view
# Customized for IDC by spaquett@systemsbiology.org
# Changes:
# - Added exception for admin/ and static/ (so ... | 34.222222 | 140 | 0.668367 |
5616539816ee10a4e3cf69ead09eb2489e3f1e3a | 2,873 | py | Python | neighbourhood/tests.py | Maryan23/MyHood | 338d76399cbdeded96d2ed3b19928146322cb705 | [
"MIT"
] | null | null | null | neighbourhood/tests.py | Maryan23/MyHood | 338d76399cbdeded96d2ed3b19928146322cb705 | [
"MIT"
] | null | null | null | neighbourhood/tests.py | Maryan23/MyHood | 338d76399cbdeded96d2ed3b19928146322cb705 | [
"MIT"
] | null | null | null | from django.test import TestCase
from .models import *
from django.contrib.auth.models import User
class LocationTestClass(TestCase):
def setUp(self):
self.kasarani = Location(name='Test Location',created_on='12/02/21',updated_on='01/03/2021')
def test_instance(self):
self.assertTrue(isinstan... | 31.922222 | 201 | 0.66307 |
442d8a9791f3e16398c957fbcb87cb4b598238e0 | 5,241 | py | Python | src/classifier/naive_bayes_classifier.py | angnuoli/data-preprocess | 7b09f17c031daeccd8feddfac3625149f60fc629 | [
"MIT"
] | 2 | 2018-03-25T18:12:16.000Z | 2018-07-25T12:38:20.000Z | src/classifier/naive_bayes_classifier.py | angnuoli/data-preprocess | 7b09f17c031daeccd8feddfac3625149f60fc629 | [
"MIT"
] | 1 | 2021-04-27T09:11:45.000Z | 2021-04-27T09:11:45.000Z | src/classifier/naive_bayes_classifier.py | angnuoli/data-preprocess | 7b09f17c031daeccd8feddfac3625149f60fc629 | [
"MIT"
] | 1 | 2018-04-09T08:44:11.000Z | 2018-04-09T08:44:11.000Z | import numpy as np
from src.data_structure.data_structure import StaticData
from src.metric.metric import calculate_tf_idf, add_value
class NaiveBayesClassifier:
""" Naive Bayes Classifier
"""
def __init__(self, feature_vector=None, vocabulary=None, n=0):
self.class_possibility_list = []
... | 40.945313 | 106 | 0.569739 |
da6eaf06ae9117fe70d4a0e744ac71be0179a342 | 1,782 | py | Python | tests/test_doc_examples.py | SPSCommerce/cloud-custodian | 757252d1387efb20602ad2aa455f525c4154a85d | [
"Apache-2.0"
] | null | null | null | tests/test_doc_examples.py | SPSCommerce/cloud-custodian | 757252d1387efb20602ad2aa455f525c4154a85d | [
"Apache-2.0"
] | null | null | null | tests/test_doc_examples.py | SPSCommerce/cloud-custodian | 757252d1387efb20602ad2aa455f525c4154a85d | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Capital One Services, 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... | 34.941176 | 92 | 0.648148 |
af607a5df3e8e030c63b11db5e86cb94066747d7 | 41,470 | py | Python | mesonbuild/compilers/cuda.py | cclauss/meson | ba432c87a4fefcb784b9b23ac691e870735c044f | [
"Apache-2.0"
] | null | null | null | mesonbuild/compilers/cuda.py | cclauss/meson | ba432c87a4fefcb784b9b23ac691e870735c044f | [
"Apache-2.0"
] | null | null | null | mesonbuild/compilers/cuda.py | cclauss/meson | ba432c87a4fefcb784b9b23ac691e870735c044f | [
"Apache-2.0"
] | null | null | null | # Copyright 2012-2017 The Meson development team
# 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 agree... | 53.509677 | 138 | 0.508295 |
d3d14729dfce74d09d3967d163b77db6ae90ba0e | 4,043 | py | Python | sdk/python/pulumi_aws/cloudwatch/log_group.py | Charliekenney23/pulumi-aws | 55bd0390160d27350b297834026fee52114a2d41 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/cloudwatch/log_group.py | Charliekenney23/pulumi-aws | 55bd0390160d27350b297834026fee52114a2d41 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/cloudwatch/log_group.py | Charliekenney23/pulumi-aws | 55bd0390160d27350b297834026fee52114a2d41 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-03-08T15:05:29.000Z | 2021-03-08T15:05:29.000Z | # 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 json
import warnings
import pulumi
import pulumi.runtime
from .. import utilities, tables
class LogGroup(pulumi.CustomResource)... | 43.010638 | 172 | 0.684887 |
c4fa672ba60c2f1776874017cd796d917993ec62 | 1,029 | py | Python | recipes/feature_pipeline_recipes/pyspark/setup.py | vidit-bhatia/experience-platform-dsw-reference | 6bf93ab57dd09bb39d15f6fcc6d1397c28f16783 | [
"Apache-2.0"
] | 18 | 2018-12-13T18:53:31.000Z | 2021-09-29T20:14:05.000Z | recipes/feature_pipeline_recipes/pyspark/setup.py | vidit-bhatia/experience-platform-dsw-reference | 6bf93ab57dd09bb39d15f6fcc6d1397c28f16783 | [
"Apache-2.0"
] | 27 | 2019-01-02T22:52:51.000Z | 2021-05-26T15:14:17.000Z | recipes/feature_pipeline_recipes/pyspark/setup.py | isabella232/experience-platform-dsw-reference | eefac0af53b63b922d34f40d92e07b110e1829fc | [
"Apache-2.0"
] | 18 | 2019-01-09T19:34:57.000Z | 2020-10-19T11:06:50.000Z | #####################################################################
# ADOBE CONFIDENTIAL
# ___________________
#
# Copyright 2020 Adobe
# All Rights Reserved.
#
# NOTICE: All information contained herein is, and remains
# the property of Adobe and its suppliers, if any. The intellectual
# and technical concepts co... | 35.482759 | 69 | 0.65792 |
83c8df1f47f4cc2cf928bce5e2eb2d215df483d7 | 13,648 | py | Python | cryptoapis/model/address_coins_transaction_confirmed.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 5 | 2021-05-17T04:45:03.000Z | 2022-03-23T12:51:46.000Z | cryptoapis/model/address_coins_transaction_confirmed.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | null | null | null | cryptoapis/model/address_coins_transaction_confirmed.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 2 | 2021-06-02T07:32:26.000Z | 2022-02-12T02:36:23.000Z | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... | 47.554007 | 484 | 0.603971 |
a31a10259641e1fcfd479e06fc9d7c9a78d4a2d8 | 3,058 | py | Python | socfaker/qualysguard.py | atstpls/soc-faker | 119fcb9c4329a918ef9001ac5eaa36251b862bf0 | [
"MIT"
] | null | null | null | socfaker/qualysguard.py | atstpls/soc-faker | 119fcb9c4329a918ef9001ac5eaa36251b862bf0 | [
"MIT"
] | null | null | null | socfaker/qualysguard.py | atstpls/soc-faker | 119fcb9c4329a918ef9001ac5eaa36251b862bf0 | [
"MIT"
] | null | null | null | import random, pendulum
from string import digits
from .employee import Employee
class QualysGuard(object):
def scan(self, count=1, host_count=1):
sc = 0
return_list = []
while sc < count:
employee = Employee()
hosts = self.__get_scanned_hosts(host_count=host_coun... | 26.136752 | 168 | 0.50654 |
d14835b23d861f2c5d98a4e654495f66b74dd5f6 | 33,245 | py | Python | sdk/python/pulumi_azure/mssql/server_extended_auditing_policy.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/mssql/server_extended_auditing_policy.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/mssql/server_extended_auditing_policy.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"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... | 51.864275 | 252 | 0.692134 |
f5bcb9347c69a53cc28996f20f45fff19f24f672 | 8,266 | py | Python | setup/terraform/resources/labs/__init__.py | rch/edge2ai-workshop | 32af34e39439d17c2a73ba85e69248e88928a187 | [
"Apache-2.0"
] | null | null | null | setup/terraform/resources/labs/__init__.py | rch/edge2ai-workshop | 32af34e39439d17c2a73ba85e69248e88928a187 | [
"Apache-2.0"
] | null | null | null | setup/terraform/resources/labs/__init__.py | rch/edge2ai-workshop | 32af34e39439d17c2a73ba85e69248e88928a187 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import os
import re
import socket
import time
from abc import ABCMeta, abstractmethod
from contextlib import contextmanager
from datetime import datetime
from importlib import import_module
from inspect import getmembers
import requests
logging.basicConfig... | 31.310606 | 115 | 0.636705 |
fb7b2ec321146b8002350e7c5e8275cd40a43761 | 52,237 | py | Python | virtual/lib/python3.6/site-packages/sqlalchemy/sql/type_api.py | claudinemahoro/pitch | b30bbf369d1e71e52d1febbab95c3d3eebf02625 | [
"MIT"
] | 10 | 2021-05-31T07:18:08.000Z | 2022-03-19T09:20:11.000Z | virtual/lib/python3.6/site-packages/sqlalchemy/sql/type_api.py | claudinemahoro/pitch | b30bbf369d1e71e52d1febbab95c3d3eebf02625 | [
"MIT"
] | 34 | 2020-05-11T14:07:27.000Z | 2020-11-08T15:23:27.000Z | virtual/lib/python3.6/site-packages/sqlalchemy/sql/type_api.py | claudinemahoro/pitch | b30bbf369d1e71e52d1febbab95c3d3eebf02625 | [
"MIT"
] | 4 | 2020-11-14T17:05:36.000Z | 2020-11-16T18:44:54.000Z | # sql/types_api.py
# Copyright (C) 2005-2020 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
"""Base types API.
"""
from . import operators
from .base import SchemaEventTarg... | 34.941137 | 81 | 0.643107 |
4fb52321c098b455685f29943aeba359554eb262 | 2,926 | py | Python | server/weather-script.py | chriselsen/Kindle_Weather-Display | 18c7638cd5e3138352a4c1ed40deef4572749b6f | [
"MIT"
] | 1 | 2018-02-07T16:16:51.000Z | 2018-02-07T16:16:51.000Z | server/weather-script.py | chriselsen/Kindle_Weather-Display | 18c7638cd5e3138352a4c1ed40deef4572749b6f | [
"MIT"
] | null | null | null | server/weather-script.py | chriselsen/Kindle_Weather-Display | 18c7638cd5e3138352a4c1ed40deef4572749b6f | [
"MIT"
] | null | null | null | #!/usr/bin/python2
# Kindle Weather Display
# Matthew Petroff (http://mpetroff.net/)
# September 2012
from xml.dom import minidom
import datetime
import codecs
try:
# Python 3
from urllib.request import urlopen
except ImportError:
# Python 2
from urllib2 import urlopen
#
# Geographic location
#
lati... | 34.833333 | 212 | 0.706083 |
e43b352954d90d05d4bc72e3068bcd2f176effa6 | 19,639 | py | Python | hpobench/benchmarks/ml/xgboost_benchmark.py | Neeratyoy/HPOBench | ae5d56652f1a9b5fa6d83f8f0019150b6f050f9e | [
"Apache-2.0"
] | null | null | null | hpobench/benchmarks/ml/xgboost_benchmark.py | Neeratyoy/HPOBench | ae5d56652f1a9b5fa6d83f8f0019150b6f050f9e | [
"Apache-2.0"
] | null | null | null | hpobench/benchmarks/ml/xgboost_benchmark.py | Neeratyoy/HPOBench | ae5d56652f1a9b5fa6d83f8f0019150b6f050f9e | [
"Apache-2.0"
] | null | null | null | """
Changelog:
==========
0.0.2:
* Change the search space definiton to match the paper: (https://arxiv.org/pdf/1802.09596.pdf)
eta: [1e-5, 1] (def: 0.3) -> [2**-10, 1] (def: 0.3)
min_child_weight: [0,05, 10] (def: 1) -> [1, 2**7] (def: 1)
colsample_bytree: [0,05, 1] (def: 1) ... | 45.992974 | 119 | 0.603391 |
93ca5ebf1dfeeb784c9531a6d49d1925b844f4e0 | 851 | py | Python | Python/longest-subarray-of-1s-after-deleting-one-element.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/longest-subarray-of-1s-after-deleting-one-element.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/longest-subarray-of-1s-after-deleting-one-element.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | # Time: O(n)
# Space: O(1)
class Solution(object):
def longestSubarray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
count, left = 0, 0
for right in range(len(nums)):
count += (nums[right] == 0)
if count >= 2:
count -... | 24.314286 | 46 | 0.444183 |
313e470cff72a9ff28759ea12451017d80262dc6 | 954 | py | Python | data-programming/label/lfs/__init__.py | nulberry/ADaPT-ML | d16d7f92aebcfdd76d2f92a3b64d2fb744959e3a | [
"MIT"
] | 5 | 2021-12-21T17:39:59.000Z | 2022-03-14T21:41:04.000Z | data-programming/label/lfs/__init__.py | nulberry/ADaPT-ML | d16d7f92aebcfdd76d2f92a3b64d2fb744959e3a | [
"MIT"
] | 11 | 2022-01-19T22:04:04.000Z | 2022-03-14T22:49:50.000Z | data-programming/label/lfs/__init__.py | nulberry/ADaPT-ML | d16d7f92aebcfdd76d2f92a3b64d2fb744959e3a | [
"MIT"
] | 1 | 2022-02-25T00:56:33.000Z | 2022-02-25T00:56:33.000Z | """
Initialize the classes that store the mapping between class labels and the number they will
represent in the label matrix.
For binary classification tasks, indicate which label is the positive class and which label is the negative class --
this will make the labels compatible with the modelling evaluation function... | 23.268293 | 116 | 0.674004 |
f69b18949b92c79cb65260e497819f7e0d9cf59a | 2,827 | py | Python | createdomain.py | muzznak/pyviyatools | 58a99656e0a773370c050de191999fbc98ac5f03 | [
"Apache-2.0"
] | 25 | 2019-04-09T19:52:54.000Z | 2022-03-07T02:11:58.000Z | createdomain.py | muzznak/pyviyatools | 58a99656e0a773370c050de191999fbc98ac5f03 | [
"Apache-2.0"
] | 49 | 2018-12-13T15:53:16.000Z | 2022-03-09T15:31:13.000Z | createdomain.py | muzznak/pyviyatools | 58a99656e0a773370c050de191999fbc98ac5f03 | [
"Apache-2.0"
] | 25 | 2019-08-23T19:58:29.000Z | 2022-02-24T16:14:03.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# createdomain.py
# December 2017
#
# create a viya domain
#
# Change History
#
# 27JAN2017 Comments added
# 27JAN2017 Added the ability to create connection domains
# 29JAN2017 Added choices to validate type of domain
# 29SEP2018 make group list comma seperated
#
... | 28.846939 | 150 | 0.721259 |
1c13d9959ddf35b45a9c13a4751c0f7a486ad58c | 6,238 | py | Python | tests/New_Rochelle/2021/check_population.py | atruszkowska/NR-population-revac | 3f35be85755bc7233cd1330ea1fbc0346c8dc04c | [
"MIT"
] | null | null | null | tests/New_Rochelle/2021/check_population.py | atruszkowska/NR-population-revac | 3f35be85755bc7233cd1330ea1fbc0346c8dc04c | [
"MIT"
] | null | null | null | tests/New_Rochelle/2021/check_population.py | atruszkowska/NR-population-revac | 3f35be85755bc7233cd1330ea1fbc0346c8dc04c | [
"MIT"
] | 1 | 2021-09-21T18:56:10.000Z | 2021-09-21T18:56:10.000Z | # ------------------------------------------------------------------
#
# Check generated population
#
# ------------------------------------------------------------------
import sys
py_path = '../../../src/mobility/'
sys.path.insert(0, py_path)
py_path = '../../../input_verification/'
sys.path.insert(0, py_path)
im... | 33.005291 | 157 | 0.767554 |
51c50b82525a722f951de1b155bbad3b16bf1cca | 1,864 | py | Python | src/data/bigmart.py | SpencerOfwiti/exploratory-data-analysis | da2bb515f87e5f926daabc1a04f029d26146b5ab | [
"MIT"
] | null | null | null | src/data/bigmart.py | SpencerOfwiti/exploratory-data-analysis | da2bb515f87e5f926daabc1a04f029d26146b5ab | [
"MIT"
] | null | null | null | src/data/bigmart.py | SpencerOfwiti/exploratory-data-analysis | da2bb515f87e5f926daabc1a04f029d26146b5ab | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
#%% create dataframe
df = pd.read_csv('../../data/raw/bigmart.csv')
print(df.head())
print(df.shape)
print(df.columns)
#%% Descriptive analysis
# numeric columns
print(df.describe())
#%% categorical variables
cat = df.dtypes... | 28.242424 | 77 | 0.734442 |
00e0788e542e4087320aad0db3122c3e0b19a2d4 | 2,734 | py | Python | uvicore/auth/authenticators/base.py | uvicore/framework | 9c21b85e9e470c6d789899340332a9abd0b26ab1 | [
"MIT"
] | 11 | 2021-03-22T22:07:49.000Z | 2022-03-08T16:18:33.000Z | uvicore/auth/authenticators/base.py | uvicore/framework | 9c21b85e9e470c6d789899340332a9abd0b26ab1 | [
"MIT"
] | 12 | 2021-03-04T05:51:24.000Z | 2021-09-22T05:16:18.000Z | uvicore/auth/authenticators/base.py | uvicore/framework | 9c21b85e9e470c6d789899340332a9abd0b26ab1 | [
"MIT"
] | 2 | 2021-03-25T14:49:56.000Z | 2021-11-17T23:20:29.000Z | import uvicore
from uvicore.support import module
from uvicore.support.dumper import dump, dd
from uvicore.http.request import HTTPConnection
from uvicore.contracts import UserInfo, UserProvider
from uvicore.typing import Dict, Optional, List, Tuple
from uvicore.contracts import Authenticator as AuthenticatorInterface
... | 39.057143 | 137 | 0.682516 |
267db19fa6c144722d15e23628b990ade0b2cc61 | 118 | py | Python | tests/cli/__init__.py | cicdw/great_expectations | 0aecddf7da591df19389c8abadbb1700a51b8739 | [
"Apache-2.0"
] | 1 | 2020-04-07T22:15:13.000Z | 2020-04-07T22:15:13.000Z | tests/cli/__init__.py | cicdw/great_expectations | 0aecddf7da591df19389c8abadbb1700a51b8739 | [
"Apache-2.0"
] | 1 | 2020-03-26T12:34:24.000Z | 2020-03-26T12:34:24.000Z | tests/cli/__init__.py | cicdw/great_expectations | 0aecddf7da591df19389c8abadbb1700a51b8739 | [
"Apache-2.0"
] | null | null | null | # Since our cli produces unicode output, but we want tests in python2 as well
from __future__ import unicode_literals
| 39.333333 | 77 | 0.822034 |
b35399fea6276ed10550069d32f8621f65b9a091 | 2,180 | py | Python | examples/text_graph/erniesage/data/graph_reader.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/text_graph/erniesage/data/graph_reader.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/text_graph/erniesage/data/graph_reader.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle 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 appli... | 31.142857 | 74 | 0.556422 |
19c5df86846b9f923fbbcde42348c05fae0a266f | 3,563 | py | Python | src/dataset.py | Abhishek-Aditya-bs/ESRGAN-Pytorch | 401485eadb2c8915ed328e5ee20f86d858dfe0ed | [
"MIT"
] | 1 | 2022-03-03T06:18:04.000Z | 2022-03-03T06:18:04.000Z | src/dataset.py | Abhishek-Aditya-bs/ESRGAN-Pytorch | 401485eadb2c8915ed328e5ee20f86d858dfe0ed | [
"MIT"
] | null | null | null | src/dataset.py | Abhishek-Aditya-bs/ESRGAN-Pytorch | 401485eadb2c8915ed328e5ee20f86d858dfe0ed | [
"MIT"
] | null | null | null | import io
import os
import lmdb
from PIL import Image
from torch import Tensor
from torch.utils.data import Dataset
from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode as IMode
from .imgproc import image2tensor, random_crop, random_horizontally_flip, random_rotate, center_... | 38.728261 | 132 | 0.669941 |
9591a015021d75bf33a1566270318608ab5d2f23 | 11,443 | py | Python | models/lattice_cls.py | KaidongLi/pytorch-LatticePointClassifier | 5c00bb0f808a928ea57acb8a79364d62eb955cee | [
"MIT"
] | null | null | null | models/lattice_cls.py | KaidongLi/pytorch-LatticePointClassifier | 5c00bb0f808a928ea57acb8a79364d62eb955cee | [
"MIT"
] | null | null | null | models/lattice_cls.py | KaidongLi/pytorch-LatticePointClassifier | 5c00bb0f808a928ea57acb8a79364d62eb955cee | [
"MIT"
] | 1 | 2022-03-29T21:03:38.000Z | 2022-03-29T21:03:38.000Z | '''
Author: Kaidong Li
Purpose: Lattice Point Classifier (LPC)
'''
import torch.nn as nn
import torch.utils.data
import torch.nn.functional as F
from pointnet import STN3d #, PointNetEncoder #, feature_transform_reguliarzer
import math
from resnet import resnet50
class SparseSum(torch.autograd.Function):
@stati... | 34.466867 | 142 | 0.594425 |
9f5c038c248f164aa354ec08c5e505614220a373 | 3,587 | py | Python | tests/unittestcore.py | scopely/target-bigquery | a1ecfdb20a68fefa3a6f0209df48ac897bb8972a | [
"BSD-3-Clause"
] | null | null | null | tests/unittestcore.py | scopely/target-bigquery | a1ecfdb20a68fefa3a6f0209df48ac897bb8972a | [
"BSD-3-Clause"
] | null | null | null | tests/unittestcore.py | scopely/target-bigquery | a1ecfdb20a68fefa3a6f0209df48ac897bb8972a | [
"BSD-3-Clause"
] | null | null | null | import json
import os
import sys
import unittest
import re
from google.cloud import bigquery
class BaseUnitTest(unittest.TestCase):
def setUp(self):
os.environ["TARGET_BIGQUERY_STATE_FILE"] = "state.json.tmp"
self.delete_temp_state()
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = os.pat... | 34.161905 | 128 | 0.596041 |
eb3a315acab6d12b83ce9db8bb6c5c867747401b | 24,086 | py | Python | google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/services/campaign_feed_service/client.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 7 | 2021-02-21T10:39:41.000Z | 2021-12-07T07:31:28.000Z | google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/services/campaign_feed_service/client.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 6 | 2021-02-02T23:46:11.000Z | 2021-11-15T01:46:02.000Z | google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/services/campaign_feed_service/client.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 4 | 2021-01-28T23:25:45.000Z | 2021-08-30T01:55:16.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 44.936567 | 154 | 0.641285 |
514c9ff1f99ddd2df5c227f7b64ee1fae7053654 | 1,851 | py | Python | app.py | tian2992/FlickrFilm | e3d66cc39d0041e465e7b528c8a1619e26e6993c | [
"ISC",
"X11"
] | null | null | null | app.py | tian2992/FlickrFilm | e3d66cc39d0041e465e7b528c8a1619e26e6993c | [
"ISC",
"X11"
] | null | null | null | app.py | tian2992/FlickrFilm | e3d66cc39d0041e465e7b528c8a1619e26e6993c | [
"ISC",
"X11"
] | null | null | null | import os
import re
from flask import Flask
from flask import render_template
import logging
app = Flask(__name__)
import flickrapi
USER_ID = "12983620@N00"
APIKI = "70ee1002979542fbca5710bba213f39b"
SICRET = "3c9741afa399e6ce"
flickr = flickrapi.FlickrAPI(APIKI, SICRET)
def build_url(photo, size):
return "ht... | 29.854839 | 111 | 0.614803 |
703b7fa60b3b635ce41e3a86b28e77723d7a03c7 | 3,925 | py | Python | ceilometer/storage/sqlalchemy/migrate_repo/versions/016_simpler_alarm.py | citrix-openstack-build/ceilometer | 29f2ffc7e511a152d6e8742cd233c3dc399b8fff | [
"Apache-2.0"
] | null | null | null | ceilometer/storage/sqlalchemy/migrate_repo/versions/016_simpler_alarm.py | citrix-openstack-build/ceilometer | 29f2ffc7e511a152d6e8742cd233c3dc399b8fff | [
"Apache-2.0"
] | null | null | null | ceilometer/storage/sqlalchemy/migrate_repo/versions/016_simpler_alarm.py | citrix-openstack-build/ceilometer | 29f2ffc7e511a152d6e8742cd233c3dc399b8fff | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Copyright © 2013 eNovance <licensing@enovance.com>
#
# Author: Mehdi Abaakouk <mehdi.abaakouk@enovance.com>
#
# 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
#
# ... | 35.681818 | 78 | 0.610191 |
b4e165d2d9c6b5b5a5cee7ca3fb9734c3507d902 | 1,884 | py | Python | plato/trainers/fedsarah.py | iQua/plato | 76fdac06af8b4d85922cd12749b4a687e3161745 | [
"Apache-2.0"
] | null | null | null | plato/trainers/fedsarah.py | iQua/plato | 76fdac06af8b4d85922cd12749b4a687e3161745 | [
"Apache-2.0"
] | null | null | null | plato/trainers/fedsarah.py | iQua/plato | 76fdac06af8b4d85922cd12749b4a687e3161745 | [
"Apache-2.0"
] | 1 | 2021-05-18T15:03:32.000Z | 2021-05-18T15:03:32.000Z | """
A customized trainer for FedSarah.
"""
import numpy as np
import torch
from plato.config import Config
from plato.utils import optimizers
from plato.trainers import basic
class Trainer(basic.Trainer):
"""The federated learning trainer for the FedSarah client"""
def __init__(self, model=None):
"""... | 34.254545 | 73 | 0.66242 |
5f6d2ef78ae6b1f80fbb020a4e46af03ef09c3cc | 188 | py | Python | demo/simple.py | sugarflower/pyg | 0dfce5d4a253bd0df4d311a989d4a96e64e9b20d | [
"MIT"
] | 2 | 2019-05-22T03:06:45.000Z | 2019-10-01T23:17:06.000Z | demo/simple.py | sugarflower/pyg | 0dfce5d4a253bd0df4d311a989d4a96e64e9b20d | [
"MIT"
] | null | null | null | demo/simple.py | sugarflower/pyg | 0dfce5d4a253bd0df4d311a989d4a96e64e9b20d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import pyg
class main:
def setup(self):
pyg.setSize((128,128))
pyg.setTitle("Simple")
def loop(self):
pass
if __name__ == "__main__":
m = main()
pyg.run(m)
| 12.533333 | 26 | 0.643617 |
4f0d85477a37c7314b7c3d45aaf692a474ec7bb0 | 3,080 | py | Python | decoder.py | typhoonese/elgamal | 63a5df4da60b0f177df4b5c300b98d73251913f5 | [
"MIT"
] | null | null | null | decoder.py | typhoonese/elgamal | 63a5df4da60b0f177df4b5c300b98d73251913f5 | [
"MIT"
] | null | null | null | decoder.py | typhoonese/elgamal | 63a5df4da60b0f177df4b5c300b98d73251913f5 | [
"MIT"
] | null | null | null | # Implements a recursive binary search approach to decode a given encoded value to readable form
# The encoding algorithm can be found in def encode.
import utils.encode
import utils.plainText
# returns true if target encoding is bigger than or equal to temp encoding
def isDiffBigger(asciiCode, guessLength, targetEn... | 38.987342 | 144 | 0.656494 |
8f3b5fae02fe6dbdab4df460d06348a89912cf90 | 5,840 | py | Python | inv/migrations/0017_initial_technologies.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | inv/migrations/0017_initial_technologies.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | inv/migrations/0017_initial_technologies.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ----------------------------------------------------------------------
# Create initial technologies for migration purposes
# ----------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ---------------------------------------------------... | 41.41844 | 86 | 0.405479 |
f166b83cb55b6c74eee0dd5f0a9ce8e64248745d | 9,515 | py | Python | AlphaGoZero/code/UI/UI.py | OoSnowfxm/AlphaZero_Othello | 3e94ac29dbac413502eb85628a0f8eb6d402d5e9 | [
"MIT"
] | null | null | null | AlphaGoZero/code/UI/UI.py | OoSnowfxm/AlphaZero_Othello | 3e94ac29dbac413502eb85628a0f8eb6d402d5e9 | [
"MIT"
] | null | null | null | AlphaGoZero/code/UI/UI.py | OoSnowfxm/AlphaZero_Othello | 3e94ac29dbac413502eb85628a0f8eb6d402d5e9 | [
"MIT"
] | null | null | null | '''
@Author: fxm
@Date: Dec 27, 2020.
@Title: UI class.
'''
import sys
sys.path.append('..')
import pygame
import logging
from pygame.locals import *
import pygame.gfxdraw
from collections import namedtuple
from Framework.Net import dotdict
from Othello.Board import Board
log = logging.getLogger(__name__)
... | 43.447489 | 122 | 0.521913 |
3e7e5b99024eed696c479cb6fd460b90f86f510a | 11,069 | py | Python | deprecated/dbupdater.py | alex-ip/agdc | 9e9eb556c33792440a3736f64cd5f628cf3a1385 | [
"BSD-3-Clause"
] | null | null | null | deprecated/dbupdater.py | alex-ip/agdc | 9e9eb556c33792440a3736f64cd5f628cf3a1385 | [
"BSD-3-Clause"
] | null | null | null | deprecated/dbupdater.py | alex-ip/agdc | 9e9eb556c33792440a3736f64cd5f628cf3a1385 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#===============================================================================
# Copyright (c) 2014 Geoscience Australia
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions ar... | 45.55144 | 137 | 0.615954 |
f7076c0d99ab4811272b1a459a9679fad5e7f7dd | 4,300 | py | Python | virtual/lib/python3.6/site-packages/PIL/WmfImagePlugin.py | GabrielSpear/PersonalGallery | e863339af357469598ed3380d1449f579ce2a3b2 | [
"MIT"
] | 1 | 2021-02-08T07:49:35.000Z | 2021-02-08T07:49:35.000Z | virtual/lib/python3.6/site-packages/PIL/WmfImagePlugin.py | GabrielSpear/PersonalGallery | e863339af357469598ed3380d1449f579ce2a3b2 | [
"MIT"
] | 2 | 2017-05-07T06:30:37.000Z | 2017-05-08T06:58:23.000Z | virtual/lib/python3.6/site-packages/PIL/WmfImagePlugin.py | GabrielSpear/PersonalGallery | e863339af357469598ed3380d1449f579ce2a3b2 | [
"MIT"
] | 2 | 2019-05-19T08:12:45.000Z | 2021-08-28T07:16:42.000Z | #
# The Python Imaging Library
# $Id$
#
# WMF stub codec
#
# history:
# 1996-12-14 fl Created
# 2004-02-22 fl Turned into a stub driver
# 2004-02-23 fl Added EMF support
#
# Copyright (c) Secret Labs AB 1997-2004. All rights reserved.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on... | 25.443787 | 92 | 0.550233 |
31d2089592c7207ab92dd9ac347a04779a68c866 | 3,645 | py | Python | oliver/lib/parsing.py | stjudecloud/oliver | 292e61b64563417800817b196b2621a501957718 | [
"MIT"
] | 35 | 2020-02-27T21:19:33.000Z | 2022-02-02T10:16:39.000Z | oliver/lib/parsing.py | stjudecloud/oliver | 292e61b64563417800817b196b2621a501957718 | [
"MIT"
] | 107 | 2020-01-18T01:13:31.000Z | 2022-03-28T10:30:53.000Z | oliver/lib/parsing.py | stjudecloud/oliver | 292e61b64563417800817b196b2621a501957718 | [
"MIT"
] | 4 | 2020-02-21T04:42:42.000Z | 2022-01-26T22:48:08.000Z | import json
import os
import re
from typing import Any, Dict, List, Optional, Tuple
from urllib.parse import urlparse
from ..lib import constants, errors
def is_url(url_string: str) -> bool:
try:
scheme = urlparse(url_string).scheme
return scheme in ("http", "https")
except:
return F... | 29.395161 | 87 | 0.562414 |
019723f7a9990f689f6e68ef1abff8f05178b798 | 3,197 | py | Python | python/ray/tune/examples/ax_example.py | couturierc/ray | 785670bc18a8595219c96e9512192922fafcf510 | [
"Apache-2.0"
] | null | null | null | python/ray/tune/examples/ax_example.py | couturierc/ray | 785670bc18a8595219c96e9512192922fafcf510 | [
"Apache-2.0"
] | null | null | null | python/ray/tune/examples/ax_example.py | couturierc/ray | 785670bc18a8595219c96e9512192922fafcf510 | [
"Apache-2.0"
] | null | null | null | """This test checks that AxSearch is functional.
It also checks that it is usable with a separate scheduler.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import ray
from ray.tune import run
from ray.tune.schedulers import AsyncHyp... | 27.324786 | 79 | 0.511417 |
0ab4345cefb1f967f55d450cfe2ad16a569f4fa5 | 3,039 | py | Python | mozi/model.py | hycis/Mozi | 7f2eccbe3169c10d231e07edf8bc650039fa4eb2 | [
"MIT"
] | 122 | 2015-07-24T09:29:06.000Z | 2022-02-22T02:51:00.000Z | mozi/model.py | hycis/Mozi | 7f2eccbe3169c10d231e07edf8bc650039fa4eb2 | [
"MIT"
] | 4 | 2015-07-27T04:37:11.000Z | 2020-04-04T08:05:00.000Z | mozi/model.py | hycis/Mozi | 7f2eccbe3169c10d231e07edf8bc650039fa4eb2 | [
"MIT"
] | 27 | 2015-07-24T12:59:35.000Z | 2020-04-14T00:21:43.000Z |
import theano
class Model(object):
def test_fprop(self, input_state):
pass
def train_fprop(self, input_state):
pass
class Sequential(Model):
def __init__(self, input_var, output_var, verbose=True):
"""
PARAM:
input_var (T.vector() | T.matrix() | T.tensor3()... | 33.032609 | 108 | 0.596578 |
d604382c15505997af1f2d675995ba3a25b618ab | 22,302 | py | Python | trackintel/preprocessing/positionfixes.py | RhnSharma/trackintel | 33d6205475ad8c4a859a9a5883241fe1098997b2 | [
"MIT"
] | null | null | null | trackintel/preprocessing/positionfixes.py | RhnSharma/trackintel | 33d6205475ad8c4a859a9a5883241fe1098997b2 | [
"MIT"
] | null | null | null | trackintel/preprocessing/positionfixes.py | RhnSharma/trackintel | 33d6205475ad8c4a859a9a5883241fe1098997b2 | [
"MIT"
] | null | null | null | import datetime
import warnings
import geopandas as gpd
import numpy as np
import pandas as pd
from shapely.geometry import LineString, Point
from tqdm import tqdm
from trackintel.geogr.distances import haversine_dist
def generate_staypoints(
pfs_input,
method="sliding",
distance_metric="haversine",
... | 42.079245 | 121 | 0.64891 |
03e5a4d2d0ce7e9a875ed05b8d533ec3e2644655 | 52,814 | py | Python | mne/channels/channels.py | adykstra/mne-python | f37903d48850a8af4eb6535df7d8dd1b5219385e | [
"BSD-3-Clause"
] | 1 | 2022-03-24T01:18:03.000Z | 2022-03-24T01:18:03.000Z | mne/channels/channels.py | gkmaro634/mne-python | 5409a89233b764f3f3f3136cf9bf6b8d5fb0a4fe | [
"BSD-3-Clause"
] | null | null | null | mne/channels/channels.py | gkmaro634/mne-python | 5409a89233b764f3f3f3136cf9bf6b8d5fb0a4fe | [
"BSD-3-Clause"
] | null | null | null | # Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Matti Hamalainen <msh@nmr.mgh.harvard.edu>
# Denis Engemann <denis.engemann@gmail.com>
# Andrew Dykstra <andrew.r.dykstra@gmail.com>
# Teon Brooks <teon.brooks@gmail.com>
#
# License: BSD (3-clause)
import os
... | 37.5633 | 79 | 0.58831 |
cdc8e5dc9d5209f976ca60217afdcc71309192bf | 873 | py | Python | moviesproject/movies/views.py | Diegomca98/movies-project | 39cfb7cde6142a7694052ddd413745aff035d57b | [
"MIT"
] | null | null | null | moviesproject/movies/views.py | Diegomca98/movies-project | 39cfb7cde6142a7694052ddd413745aff035d57b | [
"MIT"
] | null | null | null | moviesproject/movies/views.py | Diegomca98/movies-project | 39cfb7cde6142a7694052ddd413745aff035d57b | [
"MIT"
] | null | null | null | from django.shortcuts import render
from .models import Movies
from django.views.generic.list import ListView
from django.core.paginator import Paginator #Pagination for normal Views
# Create your views here.
class MoviesList(ListView):
model = Movies
template_name = 'movies.html'
context_object_name =... | 30.103448 | 76 | 0.710195 |
0fe1f31a605c812cf13ec4af57134d41fffe010f | 1,820 | py | Python | glib_wrappers.py | rafiw/textual-switcher | b9678c5249573b9142687721f40e3f4037e86f74 | [
"MIT"
] | 10 | 2018-05-24T07:39:14.000Z | 2021-09-15T08:20:31.000Z | glib_wrappers.py | rafiw/textual-switcher | b9678c5249573b9142687721f40e3f4037e86f74 | [
"MIT"
] | null | null | null | glib_wrappers.py | rafiw/textual-switcher | b9678c5249573b9142687721f40e3f4037e86f74 | [
"MIT"
] | 5 | 2018-05-15T11:53:20.000Z | 2021-03-08T23:21:37.000Z | from gi.repository import GLib, Gio
def register_signal(callback, signal_type):
def register_signal():
GLib.idle_add(install_glib_handler, signal_type, priority=GLib.PRIORITY_HIGH)
def handler(*args):
signal_nr = args[0]
if signal_nr == signal_type:
callback()
... | 31.37931 | 95 | 0.629121 |
5bed5b2e80cbc9eeecf1b5de6c2bcc27d90da163 | 666 | py | Python | lexparse/error.py | frenchie16/lxscript | 8e5e8814969753148d16913cbe2c838a13c8ed99 | [
"Unlicense"
] | 2 | 2015-04-11T05:44:07.000Z | 2015-04-12T00:42:15.000Z | lexparse/error.py | frenchie16/lxscript | 8e5e8814969753148d16913cbe2c838a13c8ed99 | [
"Unlicense"
] | null | null | null | lexparse/error.py | frenchie16/lxscript | 8e5e8814969753148d16913cbe2c838a13c8ed99 | [
"Unlicense"
] | null | null | null | import antlr4.error.ErrorListener
class _ExceptionErrorListener(antlr4.error.ErrorListener.ErrorListener):
def __init__(self, error_class):
self.error_class = error_class
def syntaxError(self, recognizer, offendingSymbol, line, charPositionInLine, msg, e):
raise self.error_class(e)
class _A... | 25.615385 | 89 | 0.746246 |
e975ca612e1af56b7a139f72f02dc2063f7992fc | 8,200 | py | Python | seaborn/tests/test_rcmod.py | tomasojea/seaborn | 9b03f8138949402a351fa06e2598144812aae586 | [
"BSD-3-Clause"
] | 1 | 2020-09-12T11:58:04.000Z | 2020-09-12T11:58:04.000Z | seaborn/tests/test_rcmod.py | tomasojea/seaborn | 9b03f8138949402a351fa06e2598144812aae586 | [
"BSD-3-Clause"
] | 1 | 2020-10-31T23:31:41.000Z | 2020-10-31T23:31:41.000Z | seaborn/tests/test_rcmod.py | tomasojea/seaborn | 9b03f8138949402a351fa06e2598144812aae586 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import matplotlib as mpl
import nose
import matplotlib.pyplot as plt
import nose.tools as nt
import numpy.testing as npt
from .. import rcmod, palettes, utils
class RCParamTester(object):
def flatten_list(self, orig_list):
iter_list = map(np.atleast_1d, orig_list)
flat_list =... | 28.873239 | 78 | 0.622805 |
b2e32217475c7f06c86540f1118071dd17a201b9 | 1,094 | py | Python | python/rps.py | cl33per/java-baby | 05febea73f9ea78c6d3f88b066a14542fbcdb163 | [
"MIT"
] | null | null | null | python/rps.py | cl33per/java-baby | 05febea73f9ea78c6d3f88b066a14542fbcdb163 | [
"MIT"
] | null | null | null | python/rps.py | cl33per/java-baby | 05febea73f9ea78c6d3f88b066a14542fbcdb163 | [
"MIT"
] | null | null | null | from random import randint
playOptions = ["Rock", "Paper", "Scissors"]
#random select index betwee 0 and 2
computer = playOptions[randint(0,2)]
#Set player
player = False
while player == False:
player = raw_input("Rock, Paper, Scissors?") #raw_input forces input as string
if player == computer:
prin... | 33.151515 | 82 | 0.596892 |
ca2c4bb9b1432bde5e4abe635599f57527cae38e | 3,072 | py | Python | basketball_reference_scraper/lookup.py | jsidhu26/basketball_reference_scraper | 8f1adfbc98e57a4edf02a785a8aef1f3d0f044ce | [
"MIT"
] | null | null | null | basketball_reference_scraper/lookup.py | jsidhu26/basketball_reference_scraper | 8f1adfbc98e57a4edf02a785a8aef1f3d0f044ce | [
"MIT"
] | null | null | null | basketball_reference_scraper/lookup.py | jsidhu26/basketball_reference_scraper | 8f1adfbc98e57a4edf02a785a8aef1f3d0f044ce | [
"MIT"
] | null | null | null | import unidecode, os, sys, unicodedata
"""
Bounded levenshtein algorithm credited to user amirouche on stackoverflow.
Implementation borrowed from https://stackoverflow.com/questions/59686989/levenshtein-distance-with-bound-limit
"""
def levenshtein(s1, s2, maximum):
if len(s1) > len(s2):
... | 37.012048 | 116 | 0.560221 |
67a192cf235eea4212b1a7fe2ab0668aa716f566 | 5,767 | py | Python | rllib/utils/exploration/stochastic_sampling.py | 77loopin/ray | 9322f6aab53f4ca5baf5a3573e1ffde12feae519 | [
"Apache-2.0"
] | 39 | 2021-02-02T23:09:31.000Z | 2022-03-28T16:39:12.000Z | rllib/utils/exploration/stochastic_sampling.py | 77loopin/ray | 9322f6aab53f4ca5baf5a3573e1ffde12feae519 | [
"Apache-2.0"
] | 70 | 2019-03-13T05:25:48.000Z | 2022-03-26T07:05:19.000Z | rllib/utils/exploration/stochastic_sampling.py | 77loopin/ray | 9322f6aab53f4ca5baf5a3573e1ffde12feae519 | [
"Apache-2.0"
] | 20 | 2021-02-05T05:51:39.000Z | 2022-03-04T21:13:24.000Z | import gym
import numpy as np
import tree # pip install dm_tree
from typing import Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.exploration import Exploration
from ray.rl... | 40.612676 | 79 | 0.598752 |
16bfc60610fea6703370d58349036be190a06d86 | 3,133 | py | Python | runway/module/cloudformation.py | asksmruti/runway | 8aca76df9372e3d13eb35e12f81758f618e89e74 | [
"Apache-2.0"
] | 1 | 2021-07-13T19:57:40.000Z | 2021-07-13T19:57:40.000Z | runway/module/cloudformation.py | asksmruti/runway | 8aca76df9372e3d13eb35e12f81758f618e89e74 | [
"Apache-2.0"
] | null | null | null | runway/module/cloudformation.py | asksmruti/runway | 8aca76df9372e3d13eb35e12f81758f618e89e74 | [
"Apache-2.0"
] | null | null | null | """Cloudformation module."""
from __future__ import annotations
import logging
from pathlib import Path
from typing import TYPE_CHECKING, Any, Dict, Optional, Union, cast
from .._logging import PrefixAdaptor
from ..cfngin.cfngin import CFNgin
from .base import RunwayModule
if TYPE_CHECKING:
from .._logging impor... | 37.297619 | 86 | 0.649218 |
1546ad18c1946f78237b9c92ab596212029fb444 | 410 | py | Python | pepipost/models/sort_enum.py | kanhaiya2012/Sample | 6c3d549525b7883913a4677c3eb6f14c8da34b9b | [
"MIT"
] | null | null | null | pepipost/models/sort_enum.py | kanhaiya2012/Sample | 6c3d549525b7883913a4677c3eb6f14c8da34b9b | [
"MIT"
] | null | null | null | pepipost/models/sort_enum.py | kanhaiya2012/Sample | 6c3d549525b7883913a4677c3eb6f14c8da34b9b | [
"MIT"
] | 1 | 2020-05-17T17:55:30.000Z | 2020-05-17T17:55:30.000Z | # -*- coding: utf-8 -*-
"""
pepipost
This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ).
"""
class SortEnum(object):
"""Implementation of the 'sort' enum.
TODO: type enum description here.
Attributes:
ASC: TODO: type description here.
... | 16.4 | 84 | 0.558537 |
ce8a1c6bba284d68628edfc1aae37a6912f0f838 | 734 | py | Python | igibson/examples/demo/env_example.py | Kathryn-cat/iGibson | 43e21a4b97ce473c78aeb1eeb080fab239154ae6 | [
"MIT"
] | null | null | null | igibson/examples/demo/env_example.py | Kathryn-cat/iGibson | 43e21a4b97ce473c78aeb1eeb080fab239154ae6 | [
"MIT"
] | null | null | null | igibson/examples/demo/env_example.py | Kathryn-cat/iGibson | 43e21a4b97ce473c78aeb1eeb080fab239154ae6 | [
"MIT"
] | null | null | null | import logging
import os
import igibson
from igibson.envs.igibson_env import iGibsonEnv
from igibson.render.profiler import Profiler
def main():
config_filename = os.path.join(igibson.example_config_path, "turtlebot_demo.yaml")
env = iGibsonEnv(config_file=config_filename, mode="headless")
for j in range... | 28.230769 | 86 | 0.623978 |
88bd988ea1464f9ed41b4d940ea24666b8fd81a5 | 1,090 | py | Python | run.py | reversinglabs/reversinglabs-ransomware-feed-for-threatconnect | e87cfc71de99203f6cc4218d4ff521a9d8906f2a | [
"MIT"
] | 18 | 2017-01-09T22:17:49.000Z | 2022-01-24T20:46:42.000Z | run.py | reversinglabs/reversinglabs-ransomware-feed-for-threatconnect | e87cfc71de99203f6cc4218d4ff521a9d8906f2a | [
"MIT"
] | 84 | 2017-04-11T13:47:49.000Z | 2022-03-21T20:12:57.000Z | run.py | reversinglabs/reversinglabs-ransomware-feed-for-threatconnect | e87cfc71de99203f6cc4218d4ff521a9d8906f2a | [
"MIT"
] | 43 | 2017-01-05T20:40:26.000Z | 2022-03-31T19:18:02.000Z | """Job App"""
# standard library
import traceback
# first-party
from app_lib import AppLib
# pylint: disable=no-member
def run() -> None:
"""Update path and run the App."""
# update the path to ensure the App has access to required modules
app_lib = AppLib()
app_lib.update_path()
# import modul... | 22.244898 | 70 | 0.620183 |
b33efccc5f2cc2cce31e3a7900ebd28b86f2ee4d | 4,079 | py | Python | docat/tests/test_utils.py | dinakar29/docat | 5a5b3c64c77955d9a43030914fc6d807f6856570 | [
"MIT"
] | null | null | null | docat/tests/test_utils.py | dinakar29/docat | 5a5b3c64c77955d9a43030914fc6d807f6856570 | [
"MIT"
] | null | null | null | docat/tests/test_utils.py | dinakar29/docat | 5a5b3c64c77955d9a43030914fc6d807f6856570 | [
"MIT"
] | null | null | null | from pathlib import Path
from mock import MagicMock, mock_open, patch
from docat.utils import create_nginx_config, create_symlink, extract_archive, remove_docs
def test_symlink_creation():
"""
Tests the creation of a symlink
"""
source = MagicMock()
destination = MagicMock()
destination.exis... | 32.632 | 134 | 0.715126 |
1673b15c5d04704fd30be8011bf309c56d2c142c | 1,904 | py | Python | tools/summary_network.py | EileenWang90/mmpose | 3fa1328a3b6351bf9b35df60d4d959973a6f8a71 | [
"Apache-2.0"
] | null | null | null | tools/summary_network.py | EileenWang90/mmpose | 3fa1328a3b6351bf9b35df60d4d959973a6f8a71 | [
"Apache-2.0"
] | null | null | null | tools/summary_network.py | EileenWang90/mmpose | 3fa1328a3b6351bf9b35df60d4d959973a6f8a71 | [
"Apache-2.0"
] | null | null | null | import argparse
# import tensorwatch as tw
from mmcv import Config
# from mmcv.cnn import get_model_complexity_info
from torchstat_utils import model_stats
import sys
sys.path.append('.')
from mmpose.models import build_posenet
def parse_args():
parser = argparse.ArgumentParser(description='Train a segmentor')
... | 28.41791 | 79 | 0.633403 |
73a172006d492b0fa116f29543b090b454c563c3 | 7,866 | py | Python | pylearn2/datasets/cifar10.py | tzuyangliu/pylearn2 | d647ca0221f603f211b8462356e7b2ca9b43790b | [
"BSD-3-Clause"
] | 2,045 | 2015-01-01T14:07:52.000Z | 2022-03-08T08:56:41.000Z | pylearn2/datasets/cifar10.py | tzuyangliu/pylearn2 | d647ca0221f603f211b8462356e7b2ca9b43790b | [
"BSD-3-Clause"
] | 305 | 2015-01-02T13:18:24.000Z | 2021-08-20T18:03:28.000Z | pylearn2/datasets/cifar10.py | tzuyangliu/pylearn2 | d647ca0221f603f211b8462356e7b2ca9b43790b | [
"BSD-3-Clause"
] | 976 | 2015-01-01T17:08:51.000Z | 2022-03-25T19:53:17.000Z | """
.. todo::
WRITEME
"""
import os
import logging
import numpy
from theano.compat.six.moves import xrange
from pylearn2.datasets import cache, dense_design_matrix
from pylearn2.expr.preprocessing import global_contrast_normalize
from pylearn2.utils import contains_nan
from pylearn2.utils import serial
from pyle... | 30.022901 | 78 | 0.518815 |
735d28e2ec71df0ae363a6102fd6309d87be64ab | 1,910 | py | Python | duro/utils/global_config.py | TargetProcess/duro | 3e70c17aed3d6d8714c94f0dfda539969d22157a | [
"MIT"
] | 4 | 2020-01-31T13:54:51.000Z | 2020-04-17T15:53:02.000Z | duro/utils/global_config.py | TargetProcess/duro | 3e70c17aed3d6d8714c94f0dfda539969d22157a | [
"MIT"
] | null | null | null | duro/utils/global_config.py | TargetProcess/duro | 3e70c17aed3d6d8714c94f0dfda539969d22157a | [
"MIT"
] | 1 | 2020-04-14T12:32:08.000Z | 2020-04-14T12:32:08.000Z | import configparser
from typing import NamedTuple, Optional
import networkx as nx
class GlobalConfig(NamedTuple):
db_path: str
views_path: str
logs_path: str
graph: nx.DiGraph
use_git: bool
class SlackConfig(NamedTuple):
url: str
success_channel: str
failure_channel: str
log_cha... | 31.311475 | 83 | 0.648168 |
63fd53258708802e259d57c8b885ac1c9d1cee81 | 50,418 | py | Python | egs/wsj/s5/steps/libs/nnet3/train/common_tmp.py | zeek-han/kaldi | e3ed0812db7abd3c266d5616babfd0adff8260ac | [
"Apache-2.0"
] | null | null | null | egs/wsj/s5/steps/libs/nnet3/train/common_tmp.py | zeek-han/kaldi | e3ed0812db7abd3c266d5616babfd0adff8260ac | [
"Apache-2.0"
] | null | null | null | egs/wsj/s5/steps/libs/nnet3/train/common_tmp.py | zeek-han/kaldi | e3ed0812db7abd3c266d5616babfd0adff8260ac | [
"Apache-2.0"
] | null | null | null |
# Copyright 2016 Vijayaditya Peddinti.
# 2016 Vimal Manohar
# Apache 2.0
"""This module contains classes and methods common to training of
nnet3 neural networks.
"""
from __future__ import division
import argparse
import glob
import logging
import os
import math
import re
import shutil
import libs.... | 48.572254 | 101 | 0.543715 |
7540a0d6a380ec652e054482fe0d99c83620c228 | 5,117 | py | Python | simdna/synthetic/loadedmotifs.py | hannahgz/simdna | 095a4988f73899df4546b099462b1790f20595b0 | [
"MIT"
] | 3 | 2018-09-13T08:09:57.000Z | 2020-04-10T15:35:19.000Z | simdna/synthetic/loadedmotifs.py | hannahgz/simdna | 095a4988f73899df4546b099462b1790f20595b0 | [
"MIT"
] | null | null | null | simdna/synthetic/loadedmotifs.py | hannahgz/simdna | 095a4988f73899df4546b099462b1790f20595b0 | [
"MIT"
] | 2 | 2018-01-05T14:58:09.000Z | 2020-09-09T07:54:46.000Z | from __future__ import absolute_import, division, print_function
from simdna.synthetic.core import DefaultNameMixin
from simdna import pwm
from simdna import util
from collections import OrderedDict
class AbstractLoadedMotifs(object):
"""Class representing loaded PWMs.
A class that contains instances of ``pw... | 35.047945 | 77 | 0.636506 |
2e4568e22187cc9a543f428a32a9ed8c11f1e88f | 1,318 | py | Python | app/core/tests/test_models.py | anishpathak0148/recipe-app-using-DjangoDRF | 2bc791e173948ac4bd0f8ba5b99cceedf61d4a39 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | anishpathak0148/recipe-app-using-DjangoDRF | 2bc791e173948ac4bd0f8ba5b99cceedf61d4a39 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | anishpathak0148/recipe-app-using-DjangoDRF | 2bc791e173948ac4bd0f8ba5b99cceedf61d4a39 | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelTests(TestCase):
def test_create_user_with_email_successfull(self):
"""Test creating a new user with an email is successfull"""
email = 'anishpathak@gmail.com'
password = 'Testanish@1234'
us... | 31.380952 | 71 | 0.645675 |
3d8a9b189f7704136c9170a5719d85ffff35233c | 7,735 | py | Python | tools/lightning_train_net.py | apivovarov/d2go | 44e410843fb10508c911022a80f15276c76d9e60 | [
"Apache-2.0"
] | null | null | null | tools/lightning_train_net.py | apivovarov/d2go | 44e410843fb10508c911022a80f15276c76d9e60 | [
"Apache-2.0"
] | null | null | null | tools/lightning_train_net.py | apivovarov/d2go | 44e410843fb10508c911022a80f15276c76d9e60 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Type
import pytorch_lightning as pl # type: ignore
from d2go.config import CfgNode, temp_defrost
from d2go.runner imp... | 32.5 | 86 | 0.679767 |
e52d8e7ac85f320ebf4c501ad744f1774a7e0310 | 236 | py | Python | tools/update-solutions.py | aitc-h/euler | 6fc07c741c31a632ce6f11f65c11007cd6c7eb29 | [
"MIT"
] | null | null | null | tools/update-solutions.py | aitc-h/euler | 6fc07c741c31a632ce6f11f65c11007cd6c7eb29 | [
"MIT"
] | null | null | null | tools/update-solutions.py | aitc-h/euler | 6fc07c741c31a632ce6f11f65c11007cd6c7eb29 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from os import listdir
from os.path import isfile, join
def valid(f):
return isfile(join(path, f)) and f.name[0]!="_"
path = "../src"
onlyfiles = [f for f in listdir(path) if isfile(join(path, f))]
| 23.6 | 64 | 0.644068 |
66ad901465ad03b26a6308994ed81d6a2128ee8d | 3,874 | py | Python | Outils/IHM/TRUST_WIZARD/src/TRUST_WIZARDGUI.py | cea-trust-platform/trust-code | c4f42d8f8602a8cc5e0ead0e29dbf0be8ac52f72 | [
"BSD-3-Clause"
] | 12 | 2021-06-30T18:50:38.000Z | 2022-03-23T09:03:16.000Z | Outils/IHM/TRUST_WIZARD/src/TRUST_WIZARDGUI.py | pledac/trust-code | 46ab5c5da3f674185f53423090f526a38ecdbad1 | [
"BSD-3-Clause"
] | null | null | null | Outils/IHM/TRUST_WIZARD/src/TRUST_WIZARDGUI.py | pledac/trust-code | 46ab5c5da3f674185f53423090f526a38ecdbad1 | [
"BSD-3-Clause"
] | 2 | 2021-10-04T09:19:39.000Z | 2021-12-15T14:21:04.000Z | # -*- coding: latin-1 -*-
#****************************************************************************
# Copyright (c) 2015 - 2016, CEA
# 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. Redistr... | 38.74 | 260 | 0.656944 |
234e54ba0d2df049823772423b0800b23907684d | 7,379 | py | Python | fixture/contact.py | marygovory/python_training | 5ba12d7ac8813215e0392a85b2ef4f314aae38b3 | [
"Apache-2.0"
] | null | null | null | fixture/contact.py | marygovory/python_training | 5ba12d7ac8813215e0392a85b2ef4f314aae38b3 | [
"Apache-2.0"
] | null | null | null | fixture/contact.py | marygovory/python_training | 5ba12d7ac8813215e0392a85b2ef4f314aae38b3 | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
import re
class ContactHelper:
def __init__(self, app):
self.app = app
def open_add_contact_page(self):
wd = self.app.wd
wd.find_element_by_link_text("add new").click()
def create_contact(self, contact):
wd = self.app.wd
self.ope... | 41.689266 | 121 | 0.652663 |
00718a0c5e999dd36da343e3aaf18b5060bb40d3 | 6,121 | py | Python | src/strips_hgn/models/hypergraph_nets_adaptor.py | matgreco/trainhgn | 4da36033512b904e0547b31e5cb8ad9249e1d343 | [
"MIT"
] | 5 | 2020-11-29T05:22:24.000Z | 2022-01-28T22:52:43.000Z | src/strips_hgn/models/hypergraph_nets_adaptor.py | matgreco/trainhgn | 4da36033512b904e0547b31e5cb8ad9249e1d343 | [
"MIT"
] | null | null | null | src/strips_hgn/models/hypergraph_nets_adaptor.py | matgreco/trainhgn | 4da36033512b904e0547b31e5cb8ad9249e1d343 | [
"MIT"
] | 4 | 2020-08-14T01:26:52.000Z | 2021-08-30T14:21:53.000Z | import logging
from itertools import cycle, islice
from typing import Callable, List, Optional
import torch
from hypergraph_nets.hypergraphs import (
EDGES,
GLOBALS,
N_EDGE,
N_NODE,
NODES,
RECEIVERS,
SENDERS,
ZERO_PADDING,
HypergraphsTuple,
)
from strips_hgn.hypergraph.hypergraph_v... | 30.152709 | 103 | 0.61771 |
d4f058a6e556a8f59a334ee0c1a34af2987677d3 | 38,380 | py | Python | qick_lib/qick/qick_asm.py | Fermilab-Quantum-Science/qick_interpreter | 08eed3c63a3ff83da9d11a9c681e6a1c9596e413 | [
"MIT"
] | null | null | null | qick_lib/qick/qick_asm.py | Fermilab-Quantum-Science/qick_interpreter | 08eed3c63a3ff83da9d11a9c681e6a1c9596e413 | [
"MIT"
] | null | null | null | qick_lib/qick/qick_asm.py | Fermilab-Quantum-Science/qick_interpreter | 08eed3c63a3ff83da9d11a9c681e6a1c9596e413 | [
"MIT"
] | null | null | null | """
The higher-level driver for the QICK library. Contains an tProc assembly language wrapper class and auxiliary functions.
"""
import numpy as np
fs_adc = 384*8
fs_dac = 384*16
fs_proc=384
def freq2reg(f):
"""
Converts frequency in MHz to tProc DAC register value.
:param f: frequency (MHz)
:type f... | 44.267589 | 314 | 0.562741 |
e25c70f68bd0e51d2adfc3dbb44d41d717e003f0 | 530 | py | Python | project-euler/python/09_special-pythagorean-triplet.py | jydiw/assorted-algorithms | 7af26520055104dcaf1ff21d94ece27d81c97918 | [
"MIT"
] | null | null | null | project-euler/python/09_special-pythagorean-triplet.py | jydiw/assorted-algorithms | 7af26520055104dcaf1ff21d94ece27d81c97918 | [
"MIT"
] | null | null | null | project-euler/python/09_special-pythagorean-triplet.py | jydiw/assorted-algorithms | 7af26520055104dcaf1ff21d94ece27d81c97918 | [
"MIT"
] | null | null | null | '''
A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,
a2 + b2 = c2
For example, 32 + 42 = 9 + 16 = 25 = 52.
There exists exactly one Pythagorean triplet for which a + b + c = 1000.
Find the product abc.
'''
def pythagorean_triplet(s):
triplets = []
for a in range(1, s):
b = (s**2... | 23.043478 | 78 | 0.59434 |
d02c621a24bd1c825ab809d723cf25b4d4ba370f | 15,614 | py | Python | test/test_client.py | rajrohith/kafka-python | a3995b38210d3700855d5b438529a5387c095569 | [
"Apache-2.0"
] | 2 | 2018-06-29T18:01:20.000Z | 2021-05-28T17:43:47.000Z | test/test_client.py | thaiphamquoc/kafka-python | 9b552f2e100c499d2744d6063f416310d302d5b6 | [
"Apache-2.0"
] | null | null | null | test/test_client.py | thaiphamquoc/kafka-python | 9b552f2e100c499d2744d6063f416310d302d5b6 | [
"Apache-2.0"
] | null | null | null | import socket
from mock import ANY, MagicMock, patch
from operator import itemgetter
import six
from . import unittest
from kafka import SimpleClient
from kafka.errors import (
KafkaUnavailableError, LeaderNotAvailableError, KafkaTimeoutError,
UnknownTopicOrPartitionError, ConnectionError, FailedPayloadsError... | 38.458128 | 106 | 0.617779 |
8de923ea369a22ed501dfbd6f1b5ea94e82ff58f | 742 | py | Python | data/kdtree/generate_synthetic.py | weld-project/clamor | 72e7a75e608bb3407ab6f7ee47f24f707932b71a | [
"Apache-2.0"
] | null | null | null | data/kdtree/generate_synthetic.py | weld-project/clamor | 72e7a75e608bb3407ab6f7ee47f24f707932b71a | [
"Apache-2.0"
] | null | null | null | data/kdtree/generate_synthetic.py | weld-project/clamor | 72e7a75e608bb3407ab6f7ee47f24f707932b71a | [
"Apache-2.0"
] | null | null | null | import numpy as np
nodes_outfile = 'nodes_synthetic.csv'
queries_outfile = 'queries_synthetic.csv'
scale = 100.0
gauss_x = np.random.normal(0, scale, size=4000000)
gauss_y = np.random.normal(0, scale, size=4000000)
points = list(zip(gauss_x, gauss_y))
with open(nodes_outfile, 'w') as nf:
for p in points:
... | 25.586207 | 50 | 0.622642 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.