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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
91194441358a27c33e53ee2da572dc209f82f5aa | 7,173 | py | Python | venv/Lib/site-packages/Token/generated/provider/configuration.py | The-Fragment/FragmentFembot | bca0027b423753eb162590e8fd440a2c1e65d133 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/Token/generated/provider/configuration.py | The-Fragment/FragmentFembot | bca0027b423753eb162590e8fd440a2c1e65d133 | [
"MIT"
] | 5 | 2020-06-06T00:40:42.000Z | 2021-06-10T22:36:12.000Z | venv/Lib/site-packages/Token/generated/provider/configuration.py | The-Fragment/FragmentFembot | bca0027b423753eb162590e8fd440a2c1e65d133 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Copyright 2016 SmartBear Software
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 l... | 30.918103 | 97 | 0.612714 |
3a9ac568ca69dd1c348fa856f7f190f5456a7c88 | 4,658 | py | Python | examples/box_pivoting/analysis/box_pivoting_bundle.py | lujieyang/irs_lqr | bc9cade6a3bb2fa2d76bdd5fe453030a7b28700f | [
"MIT"
] | 6 | 2021-11-20T19:05:06.000Z | 2022-01-31T00:10:41.000Z | examples/box_pivoting/analysis/box_pivoting_bundle.py | lujieyang/irs_lqr | bc9cade6a3bb2fa2d76bdd5fe453030a7b28700f | [
"MIT"
] | 10 | 2021-07-24T19:50:36.000Z | 2021-11-20T19:06:40.000Z | examples/box_pivoting/analysis/box_pivoting_bundle.py | lujieyang/irs_lqr | bc9cade6a3bb2fa2d76bdd5fe453030a7b28700f | [
"MIT"
] | 1 | 2021-12-15T22:09:31.000Z | 2021-12-15T22:09:31.000Z | import time
import matplotlib.pyplot as plt
import numpy as np
from tqdm import tqdm
from pydrake.all import PiecewisePolynomial
from quasistatic_simulator.core.quasistatic_simulator import (
QuasistaticSimulator, QuasistaticSimParameters)
from quasistatic_simulator.core.quasistatic_system import (
cpp_params... | 28.931677 | 74 | 0.70717 |
4f15b4954713b96ef16eb592aabe4b803f77bd5f | 1,806 | py | Python | rdkit/Chem/ChemUtils/UnitTestAlignDepict.py | kazuyaujihara/rdkit | 06027dcd05674787b61f27ba46ec0d42a6037540 | [
"BSD-3-Clause"
] | 1,609 | 2015-01-05T02:41:13.000Z | 2022-03-30T21:57:24.000Z | rdkit/Chem/ChemUtils/UnitTestAlignDepict.py | kazuyaujihara/rdkit | 06027dcd05674787b61f27ba46ec0d42a6037540 | [
"BSD-3-Clause"
] | 3,412 | 2015-01-06T12:13:33.000Z | 2022-03-31T17:25:41.000Z | rdkit/Chem/ChemUtils/UnitTestAlignDepict.py | bp-kelley/rdkit | e0de7c9622ce73894b1e7d9568532f6d5638058a | [
"BSD-3-Clause"
] | 811 | 2015-01-11T03:33:48.000Z | 2022-03-28T11:57:49.000Z | from contextlib import contextmanager
import sys
import unittest
from rdkit import Chem
from rdkit.Chem.ChemUtils.AlignDepict import initParser, processArgs, AlignDepict
from io import StringIO
class TestCase(unittest.TestCase):
def test1(self):
parser = initParser()
with outputRedirect() as (ou... | 30.610169 | 81 | 0.652824 |
37d31090a5f741c30ec7a0f4e780f1675faabeaf | 619 | py | Python | accounts/api/urls.py | CodeMonk263/Live-Mart-Backend | 39f6e6b9dcb686a8b02313b289456f30e4b99f1c | [
"MIT"
] | null | null | null | accounts/api/urls.py | CodeMonk263/Live-Mart-Backend | 39f6e6b9dcb686a8b02313b289456f30e4b99f1c | [
"MIT"
] | null | null | null | accounts/api/urls.py | CodeMonk263/Live-Mart-Backend | 39f6e6b9dcb686a8b02313b289456f30e4b99f1c | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from django.contrib import admin
from rest_framework_jwt.views import obtain_jwt_token, refresh_jwt_token
from .views import *
from rest_framework import routers
router = routers.DefaultRouter()
router.register('users', UserView)
urlpatterns = [
url(r'^login/$', Authenti... | 32.578947 | 78 | 0.738288 |
a8f598a7c8b82a14750f533c4f22b5fa316c1cf4 | 1,023 | py | Python | Practica7/restaurantes/models.py | adrianmorente/PracticasDAI | 0f0a032a9cade87298c2b7bcbad4ca4d6b867b1d | [
"MIT"
] | null | null | null | Practica7/restaurantes/models.py | adrianmorente/PracticasDAI | 0f0a032a9cade87298c2b7bcbad4ca4d6b867b1d | [
"MIT"
] | null | null | null | Practica7/restaurantes/models.py | adrianmorente/PracticasDAI | 0f0a032a9cade87298c2b7bcbad4ca4d6b867b1d | [
"MIT"
] | null | null | null | # restaurantes/models.py
from pymongo import MongoClient
client = MongoClient()
db = client.test
restaurantes = db.restaurants
# EJEMPLO DE RESTAURANTE ALMACENADO EN LA BBDD
#
# {
# "_id" : ObjectId("5a355b461fc7d55cf59f9722"),
# "address" : {
# "building" : "1007",
# "coord" : [
# -73.856077,
# 40.84844... | 18.944444 | 48 | 0.505376 |
4333c24399528d8331694740c253f5b2b4a9c3ba | 7,122 | py | Python | fastai/callback/fp16.py | mone27/fastai | af8dfc07ca3f333f8c1bdbea1803af669a53738f | [
"Apache-2.0"
] | 5 | 2020-08-27T00:52:27.000Z | 2022-03-31T02:46:05.000Z | fastai/callback/fp16.py | mone27/fastai | af8dfc07ca3f333f8c1bdbea1803af669a53738f | [
"Apache-2.0"
] | 22 | 2021-01-07T23:35:00.000Z | 2022-03-20T00:16:40.000Z | fastai/callback/fp16.py | mone27/fastai | af8dfc07ca3f333f8c1bdbea1803af669a53738f | [
"Apache-2.0"
] | 2 | 2021-04-17T03:33:21.000Z | 2022-02-25T19:32:34.000Z | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/18_callback.fp16.ipynb (unless otherwise specified).
__all__ = ['get_master', 'to_master_grads', 'to_model_params', 'test_overflow', 'grad_overflow', 'copy_clone',
'ModelToHalf', 'MixedPrecision', 'NativeMixedPrecision']
# Cell
from ..basics import *
from .pr... | 39.566667 | 136 | 0.694047 |
b06249073f960b8870c8f80745361cd58a9dcd0d | 2,719 | py | Python | tools/dataset_utils.py | jbutle55/yolov3-tf2 | f7f60c63fb4cb04b91ecd0ae02a16b10ff74f8b0 | [
"MIT"
] | null | null | null | tools/dataset_utils.py | jbutle55/yolov3-tf2 | f7f60c63fb4cb04b91ecd0ae02a16b10ff74f8b0 | [
"MIT"
] | null | null | null | tools/dataset_utils.py | jbutle55/yolov3-tf2 | f7f60c63fb4cb04b91ecd0ae02a16b10ff74f8b0 | [
"MIT"
] | null | null | null | # Copyright 2017 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 applica... | 32.759036 | 80 | 0.719382 |
4045c7fb8d04e831984e9b5915bd1ac8642105d5 | 1,919 | py | Python | tests/tools/stub.py | Navan0/pepy | 0cb739912000f7940f11406353a9487600997893 | [
"MIT"
] | 522 | 2018-05-27T20:31:32.000Z | 2022-03-31T04:39:52.000Z | tests/tools/stub.py | Spratiher9/pepy | a94aa60f505291dcbd33be094e13870101eabff0 | [
"MIT"
] | 174 | 2018-06-05T12:58:54.000Z | 2022-03-22T07:39:33.000Z | tests/tools/stub.py | Spratiher9/pepy | a94aa60f505291dcbd33be094e13870101eabff0 | [
"MIT"
] | 37 | 2018-06-13T18:17:38.000Z | 2022-03-21T07:28:36.000Z | import random
from datetime import date, datetime, timedelta
from typing import List
from pepy.domain.model import ProjectName, Downloads, Project, ProjectDownloads
class ProjectNameStub:
@staticmethod
def create() -> ProjectName:
project_names = ["climoji", "pepy", "commandbus", "flask", "behave"]
... | 39.979167 | 119 | 0.706618 |
d7f1f4e5911cd579acedc77767458e9dcd4c7dff | 1,591 | py | Python | CGAL-5.0.3/surface_reconstruction/src/main.py | pranjal-s/cpp17 | 04b5278ff4d754d6e62f955d49bddf6509f86e73 | [
"MIT"
] | null | null | null | CGAL-5.0.3/surface_reconstruction/src/main.py | pranjal-s/cpp17 | 04b5278ff4d754d6e62f955d49bddf6509f86e73 | [
"MIT"
] | null | null | null | CGAL-5.0.3/surface_reconstruction/src/main.py | pranjal-s/cpp17 | 04b5278ff4d754d6e62f955d49bddf6509f86e73 | [
"MIT"
] | null | null | null | # -*- Mode: python; tab-width: 4; indent-tabs-mode:nil; coding:utf-8 -*-
# vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4
#
# CGAL-5.0.3 Tutorial
# A simple program to read, visualize and write geometry files with Open3D
# for analysis with CGAL in C++
# Author: Pranjal Singh, pranjal.officemail@gmail.com, Aug 202... | 33.851064 | 103 | 0.711502 |
f3e567068debce547b32063b4a0d1286387949a8 | 4,953 | py | Python | sdk/python/pulumi_azure_native/sql/v20201101preview/get_database_vulnerability_assessment_rule_baseline.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/sql/v20201101preview/get_database_vulnerability_assessment_rule_baseline.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/sql/v20201101preview/get_database_vulnerability_assessment_rule_baseline.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** 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 _utilities
fro... | 41.974576 | 204 | 0.662831 |
791e5172a41d68c5773fec88f1479377e313896a | 6,017 | py | Python | evennia/server/portal/tests.py | zeitkunst/evennia | 1f254b2542fbefe400c114b3d7029522cdcb37b7 | [
"BSD-3-Clause"
] | 3 | 2019-08-08T16:58:25.000Z | 2019-10-12T07:31:36.000Z | evennia/server/portal/tests.py | zeitkunst/evennia | 1f254b2542fbefe400c114b3d7029522cdcb37b7 | [
"BSD-3-Clause"
] | 9 | 2019-09-06T18:21:59.000Z | 2022-01-13T03:04:11.000Z | evennia/server/portal/tests.py | zeitkunst/evennia | 1f254b2542fbefe400c114b3d7029522cdcb37b7 | [
"BSD-3-Clause"
] | 2 | 2019-09-02T08:39:24.000Z | 2019-09-02T18:39:32.000Z | try:
from django.utils.unittest import TestCase
except ImportError:
from django.test import TestCase
try:
from django.utils import unittest
except ImportError:
import unittest
from mock import Mock
import string
from evennia.server.portal import irc
from twisted.conch.telnet import IAC, WILL, DONT, S... | 39.585526 | 97 | 0.590327 |
8df727b59eca1c965693c4ab0ad5e3add777025d | 1,370 | py | Python | pin.py | realjohnward/rgbeads | 9faecc6440bc63582d85d49f733ba076c250abf0 | [
"MIT"
] | null | null | null | pin.py | realjohnward/rgbeads | 9faecc6440bc63582d85d49f733ba076c250abf0 | [
"MIT"
] | null | null | null | pin.py | realjohnward/rgbeads | 9faecc6440bc63582d85d49f733ba076c250abf0 | [
"MIT"
] | null | null | null | import subprocess
import json
import os
from dotenv import load_dotenv
load_dotenv()
NODE_PATH = os.getenv('NODE_PATH')
NUM_BEADS = int(os.getenv('NUM_BEADS'))
def pin(read_path="./beads", save_path="./data"):
def pin_img_to_pinata(img_path):
ipfs_hash = subprocess.check_output([NODE_PATH,'./_pinImgToPin... | 38.055556 | 121 | 0.661314 |
45d676499a26cbdc79675e3ac33e7e87628c218f | 1,049 | py | Python | test/clients/IDummyClient.py | pip-services-archive/pip-services-runtime-python | 70eca1ffc44bfdc45c9c65b0ee347fa578368849 | [
"MIT"
] | null | null | null | test/clients/IDummyClient.py | pip-services-archive/pip-services-runtime-python | 70eca1ffc44bfdc45c9c65b0ee347fa578368849 | [
"MIT"
] | null | null | null | test/clients/IDummyClient.py | pip-services-archive/pip-services-runtime-python | 70eca1ffc44bfdc45c9c65b0ee347fa578368849 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
pip_services_runtime.clients.IDummyClient
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Interface for dummy client implementations
:copyright: Digital Living Software Corp. 2015-2016, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
fr... | 36.172414 | 86 | 0.698761 |
8046b58c3d0645928af9978505e51e9e8f5dc1e5 | 3,766 | py | Python | util/update_copyright/__init__.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 765 | 2015-01-14T16:17:04.000Z | 2022-03-28T07:46:28.000Z | util/update_copyright/__init__.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 148 | 2018-07-20T00:58:36.000Z | 2021-11-16T01:52:33.000Z | util/update_copyright/__init__.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 807 | 2015-01-06T09:55:38.000Z | 2022-03-30T10:23:36.000Z | # Copyright (c) 2020 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 implementation of the functionality o... | 42.795455 | 72 | 0.733139 |
adb63ab69af372168609b01e25eb3fc050bf7925 | 482 | py | Python | activities/models/rnotes.py | aiomi/REQAP | ba9ee8c7be544082c54455a8990782e1affe0e0d | [
"MIT"
] | 1 | 2021-07-08T06:16:33.000Z | 2021-07-08T06:16:33.000Z | activities/models/rnotes.py | adole99/REQAP | 6d95040fa2e5b7de23d4ba230877721f3f17f633 | [
"MIT"
] | 5 | 2020-05-01T19:37:52.000Z | 2021-09-22T18:44:51.000Z | activities/models/rnotes.py | adole99/REQAP | 6d95040fa2e5b7de23d4ba230877721f3f17f633 | [
"MIT"
] | 1 | 2020-03-13T10:15:07.000Z | 2020-03-13T10:15:07.000Z | from django.db import models
from . import Transcript
from users.models import Staff
class TranscriptNote(models.Model):
transcript = models.ForeignKey(Transcript, on_delete=models.CASCADE)
action = models.CharField(max_length=10)
reason = models.CharField(max_length=160, blank=True, null=True)
staff_... | 37.076923 | 75 | 0.755187 |
5f6d2182cfe7f60acc99bb6e1ccc4376ac19ea66 | 22,232 | py | Python | src/tensorflow-examples/tensorflow_examples/converted_notebooks/19_training_and_deploying_at_scale.py | wilsonify/tensorflow-examples | 2271c666b33c7a74047c7196783ab04e9aee8362 | [
"MIT"
] | 2 | 2019-11-21T02:43:24.000Z | 2020-08-12T04:48:39.000Z | src/tensorflow-examples/tensorflow_examples/converted_notebooks/19_training_and_deploying_at_scale.py | wilsonify/tensorflow-examples | 2271c666b33c7a74047c7196783ab04e9aee8362 | [
"MIT"
] | null | null | null | src/tensorflow-examples/tensorflow_examples/converted_notebooks/19_training_and_deploying_at_scale.py | wilsonify/tensorflow-examples | 2271c666b33c7a74047c7196783ab04e9aee8362 | [
"MIT"
] | 1 | 2021-02-06T12:36:58.000Z | 2021-02-06T12:36:58.000Z | #!/usr/bin/env python
# coding: utf-8
# **Chapter 19 – Training and Deploying TensorFlow Models at Scale**
# _This notebook contains all the sample code in chapter 19._
# <table align="left">
# <td>
# <a target="_blank" href="https://colab.research.google.com/github/ageron/handson-ml2/blob/master/19_training_a... | 27.824781 | 657 | 0.697868 |
88244f49428498e751a29a73403ece6d99551a07 | 5,750 | py | Python | examples/python/PricingVanillaOption.py | suhasghorp/FinancePy | 567486785b33768f229a404e860f92fd042034a2 | [
"BSD-3-Clause"
] | null | null | null | examples/python/PricingVanillaOption.py | suhasghorp/FinancePy | 567486785b33768f229a404e860f92fd042034a2 | [
"BSD-3-Clause"
] | 1 | 2020-05-07T14:38:23.000Z | 2020-05-07T14:38:23.000Z | examples/python/PricingVanillaOption.py | suhasghorp/FinancePy | 567486785b33768f229a404e860f92fd042034a2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 13 21:52:16 2019
@author: Dominic O'Kane
"""
from
valueDate = FinDate(2015, 1, 1)
expiryDate = FinDate(2015, 7, 1)
stockPrice = 100
volatility = 0.30
interestRate = 0.05
dividendYield = 0.01
model = FinEquityModelBlackScholes(volatility)
... | 27.777778 | 99 | 0.526435 |
7974542530d3b117e4dc2cf392cc299d27f818dc | 1,409 | py | Python | app/routes.py | ender18g/ew370 | a4a8af973adc37a02eb9148fed67e857a614faaf | [
"MIT"
] | null | null | null | app/routes.py | ender18g/ew370 | a4a8af973adc37a02eb9148fed67e857a614faaf | [
"MIT"
] | null | null | null | app/routes.py | ender18g/ew370 | a4a8af973adc37a02eb9148fed67e857a614faaf | [
"MIT"
] | null | null | null | from app import app
from app import db
from flask import render_template, url_for, request, jsonify, redirect
import json
from app.models import Comment
# def get_mlData():
# with open ('app/static/brain-examples/ml_data.json','r') as f:
# return json.load(f)
# def save_mlData(ml_data):
# with open ('app/sta... | 30.630435 | 95 | 0.672818 |
27df010cc1ef623d1994e6e3cc0f657e7f6f9752 | 224 | py | Python | mangum/protocols/__init__.py | tasn/mangum | 6da7e51ca8e7979f41291ab3f0e698882f219814 | [
"MIT"
] | 661 | 2020-06-02T01:06:35.000Z | 2022-03-30T22:40:47.000Z | mangum/protocols/__init__.py | tasn/mangum | 6da7e51ca8e7979f41291ab3f0e698882f219814 | [
"MIT"
] | 116 | 2020-06-02T02:14:14.000Z | 2022-03-25T11:54:38.000Z | mangum/protocols/__init__.py | tasn/mangum | 6da7e51ca8e7979f41291ab3f0e698882f219814 | [
"MIT"
] | 55 | 2020-06-02T02:01:26.000Z | 2022-03-16T16:13:09.000Z | from .http import HTTPCycle
from .websockets import WebSocketCycle
from .lifespan import LifespanCycleState, LifespanCycle
__all__ = [
"HTTPCycle",
"WebSocketCycle",
"LifespanCycleState",
"LifespanCycle",
]
| 20.363636 | 55 | 0.745536 |
d3aa0b628dc8db7172ab6aaf3387523a358363b4 | 2,751 | py | Python | app.py | noorbala7418/ImAlive | f5b26141fc6035b233f18fddc91c34d31a9740ab | [
"MIT"
] | 2 | 2021-11-03T18:33:04.000Z | 2021-12-21T11:16:16.000Z | app.py | noorbala7418/ImAlive | f5b26141fc6035b233f18fddc91c34d31a9740ab | [
"MIT"
] | null | null | null | app.py | noorbala7418/ImAlive | f5b26141fc6035b233f18fddc91c34d31a9740ab | [
"MIT"
] | null | null | null | import os
import json
import subprocess
import re
from dotenv import load_dotenv, find_dotenv
from flask import Flask, request, Response
from flask_httpauth import HTTPBasicAuth
from werkzeug.security import generate_password_hash, check_password_hash
app = Flask(__name__)
app.config["DEBUG"] = True
load_dotenv(find_... | 28.071429 | 104 | 0.705198 |
a6cfbb8cb7acf2e4678c0df1ae4266a636a981e8 | 8,057 | py | Python | homeassistant/components/mill/climate.py | ryborg/core | b17120a5113a424cab9c621225956f6c8ec67a87 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/mill/climate.py | ryborg/core | b17120a5113a424cab9c621225956f6c8ec67a87 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/mill/climate.py | ryborg/core | b17120a5113a424cab9c621225956f6c8ec67a87 | [
"Apache-2.0"
] | null | null | null | """Support for mill wifi-enabled home heaters."""
import mill
import voluptuous as vol
from homeassistant.components.climate import ClimateEntity
from homeassistant.components.climate.const import (
CURRENT_HVAC_HEAT,
CURRENT_HVAC_IDLE,
FAN_ON,
HVAC_MODE_HEAT,
HVAC_MODE_OFF,
SUPPORT_FAN_MODE,
... | 34.431624 | 87 | 0.682264 |
637ec522aa7c886dcb45028cbb78693adda75d32 | 703 | py | Python | setup.py | amackojc/fatube | 72a59b1f41a5c0a6dda75fe41cc3a7342eee7983 | [
"MIT"
] | null | null | null | setup.py | amackojc/fatube | 72a59b1f41a5c0a6dda75fe41cc3a7342eee7983 | [
"MIT"
] | null | null | null | setup.py | amackojc/fatube | 72a59b1f41a5c0a6dda75fe41cc3a7342eee7983 | [
"MIT"
] | 1 | 2022-01-18T20:57:01.000Z | 2022-01-18T20:57:01.000Z | """
Setup file for FATube.
Use setup.cfg to configure your project.
This file was generated with PyScaffold 4.1.1.
PyScaffold helps you to put up the scaffold of your new Python project.
Learn more under: https://pyscaffold.org/
"""
from setuptools import setup
if __name__ == "__main__":
try:
... | 31.954545 | 77 | 0.638691 |
d77ff9f26f0bd43f1d0474a71e016a19adf7b88d | 1,968 | py | Python | pygeostat/utility/logging.py | haroldvelasquez/pygeostat | b45294ef432ec0169eb32c7cf42bca871651d8ed | [
"MIT"
] | 22 | 2020-08-04T15:13:53.000Z | 2022-03-31T00:15:07.000Z | pygeostat/utility/logging.py | haroldvelasquez/pygeostat | b45294ef432ec0169eb32c7cf42bca871651d8ed | [
"MIT"
] | 15 | 2020-08-04T15:40:21.000Z | 2021-12-22T15:18:01.000Z | pygeostat/utility/logging.py | haroldvelasquez/pygeostat | b45294ef432ec0169eb32c7cf42bca871651d8ed | [
"MIT"
] | 59 | 2020-08-04T17:09:26.000Z | 2022-03-25T23:19:44.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''utils.py: Contains utility functions for providing status alerts in a script'''
from __future__ import absolute_import, division, print_function
__author__ = 'pygeostat development team'
__date__ = '2015'
__version__ = '1.000'
import textwrap
def printerr(text, width... | 31.238095 | 98 | 0.646341 |
b810bfed0938840d1cd44df291b50dfd3b37e391 | 139 | py | Python | opwen_email_server/constants/sync.py | kulado/mailserver | d05c0b2e8d8c97b7b7a08028a9eacd4427a59c4b | [
"Apache-2.0"
] | 15 | 2020-07-06T02:33:15.000Z | 2021-08-09T19:24:11.000Z | opwen_email_server/constants/sync.py | kulado/mailserver | d05c0b2e8d8c97b7b7a08028a9eacd4427a59c4b | [
"Apache-2.0"
] | 298 | 2016-12-24T20:19:56.000Z | 2020-04-29T03:13:21.000Z | opwen_email_server/constants/sync.py | sbathgate/lokole | a4e3fa5da5373880f6783379f7ef8d843e4cc79d | [
"Apache-2.0"
] | 12 | 2017-06-05T12:13:35.000Z | 2020-01-23T03:26:05.000Z | from typing_extensions import Final # noqa: F401
EMAILS_FILE = 'emails.jsonl' # type: Final
USERS_FILE = 'zzusers.jsonl' # type: Final
| 27.8 | 49 | 0.733813 |
5eeb0191c287c35df018c87a3cc5714a6a5ab804 | 1,356 | py | Python | readthedocs/builds/utils.py | felixge/readthedocs.org | 41b0243bfd94c9c502c8f7f5f7df3e8f690891a5 | [
"MIT"
] | 1 | 2017-10-02T09:01:42.000Z | 2017-10-02T09:01:42.000Z | readthedocs/builds/utils.py | felixge/readthedocs.org | 41b0243bfd94c9c502c8f7f5f7df3e8f690891a5 | [
"MIT"
] | null | null | null | readthedocs/builds/utils.py | felixge/readthedocs.org | 41b0243bfd94c9c502c8f7f5f7df3e8f690891a5 | [
"MIT"
] | null | null | null | import re
GH_REGEXS = [
re.compile('github.com/(.+)/(.+)(?:\.git){1}'),
re.compile('github.com/(.+)/(.+)'),
re.compile('github.com:(.+)/(.+).git'),
]
BB_REGEXS = [
re.compile('bitbucket.org/(.+)/(.+)/'),
re.compile('bitbucket.org/(.+)/(.+)'),
re.compile('bitbucket.org:(.+)/(.+)\.git'),
]
def ... | 28.851064 | 61 | 0.608407 |
139548cb3781047aceefc145d3a7a14908ccd550 | 37,058 | py | Python | ssqueezepy/visuals.py | CHEN34-hub/ssqueezepy | d6e6d5b331094d8aeee0c187f7efbfb3c97af986 | [
"MIT"
] | 1 | 2022-03-06T14:18:26.000Z | 2022-03-06T14:18:26.000Z | ssqueezepy/visuals.py | CHEN34-hub/ssqueezepy | d6e6d5b331094d8aeee0c187f7efbfb3c97af986 | [
"MIT"
] | null | null | null | ssqueezepy/visuals.py | CHEN34-hub/ssqueezepy | d6e6d5b331094d8aeee0c187f7efbfb3c97af986 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Convenience visual methods"""
import numpy as np
from pathlib import Path
from .algos import find_closest, find_maximum
from .configs import gdefaults
from . import plt
#### Visualizations ##########################################################
def wavelet_tf(wavelet, N=2048, scale=None,... | 36.083739 | 82 | 0.561417 |
fbda44705b5b1dcfa785223b65530aef0cf42b93 | 4,282 | py | Python | huaweicloud-sdk-vpc/huaweicloudsdkvpc/v2/model/list_privateips_request.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-vpc/huaweicloudsdkvpc/v2/model/list_privateips_request.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-vpc/huaweicloudsdkvpc/v2/model/list_privateips_request.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class ListPrivateipsRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The ... | 25.488095 | 79 | 0.556049 |
ef3087da4b325c14ea422766752521a10fcd9098 | 5,046 | py | Python | RBC_Python_Numba.py | leitec/Comparison-Programming-Languages-Economics | dcff2d7135fb84c8f389f3ed2bea8500f7f31d11 | [
"MIT"
] | 197 | 2015-01-04T10:13:44.000Z | 2022-01-06T19:01:46.000Z | RBC_Python_Numba.py | leitec/Comparison-Programming-Languages-Economics | dcff2d7135fb84c8f389f3ed2bea8500f7f31d11 | [
"MIT"
] | 15 | 2015-05-24T17:29:18.000Z | 2022-02-25T20:54:46.000Z | RBC_Python_Numba.py | leitec/Comparison-Programming-Languages-Economics | dcff2d7135fb84c8f389f3ed2bea8500f7f31d11 | [
"MIT"
] | 119 | 2015-01-01T17:08:21.000Z | 2021-09-21T17:41:39.000Z | # Basic RBC model with full depreciation (Alternate 1)
#
# Jesus Fernandez-Villaverde
# Haverford, July 3, 2013
import numpy as np
import math
import time
from numba import autojit
# - Start Inner Loop - #
# - bbeta float
# - nGridCapital: int64
# - gridCapitalNextPeriod: int... | 37.377778 | 216 | 0.639318 |
c7f98b55400f0b9fabd2188d22fb6daaee6282f9 | 27 | py | Python | sketchy/terminal/feature/merge/__init__.py | mbhall88/sketchy | 5ed26d28f104710f6d425053eae41fd0e99f8760 | [
"MIT"
] | null | null | null | sketchy/terminal/feature/merge/__init__.py | mbhall88/sketchy | 5ed26d28f104710f6d425053eae41fd0e99f8760 | [
"MIT"
] | null | null | null | sketchy/terminal/feature/merge/__init__.py | mbhall88/sketchy | 5ed26d28f104710f6d425053eae41fd0e99f8760 | [
"MIT"
] | null | null | null | from .commands import merge | 27 | 27 | 0.851852 |
4fae268ce23144aa877c5a5341720f051d9f4ae0 | 211 | py | Python | src/year2021/day01a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 10 | 2017-12-11T17:54:52.000Z | 2021-12-09T20:16:30.000Z | src/year2021/day01a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 260 | 2015-12-09T11:03:03.000Z | 2021-12-12T14:32:23.000Z | src/year2021/day01a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | null | null | null | """2021 - Day 1 Part 1: Sonar Sweep."""
from itertools import pairwise
def solve(task: str) -> int:
depths = (int(x) for x in task.strip().split("\n"))
return sum(a < b for (a, b) in pairwise(depths))
| 26.375 | 55 | 0.620853 |
f2fe58c1a326668393a3edad0c123383c6e0878e | 274 | py | Python | metadeploy/api/migrations/0023_merge_20181206_1541.py | sfdc-qbranch/MetaDeploy | d22547b3814dbec6aefa4d86b9f81c6f175c1b67 | [
"BSD-3-Clause"
] | 33 | 2019-03-20T15:34:39.000Z | 2022-03-30T15:59:40.000Z | metadeploy/api/migrations/0023_merge_20181206_1541.py | sfdc-qbranch/MetaDeploy | d22547b3814dbec6aefa4d86b9f81c6f175c1b67 | [
"BSD-3-Clause"
] | 2,718 | 2019-02-27T19:46:07.000Z | 2022-03-11T23:18:09.000Z | metadeploy/api/migrations/0023_merge_20181206_1541.py | sfdc-qbranch/MetaDeploy | d22547b3814dbec6aefa4d86b9f81c6f175c1b67 | [
"BSD-3-Clause"
] | 28 | 2019-03-28T04:57:16.000Z | 2022-02-04T16:49:25.000Z | # Generated by Django 2.1.4 on 2018-12-06 15:41
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("api", "0022_allow_canceled_result"),
("api", "0022_order_products_and_categories"),
]
operations = []
| 19.571429 | 54 | 0.667883 |
feb5193f4ce0f33686c4464d123170276bb22f52 | 3,720 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GLU/glustruct.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GLU/glustruct.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GLU/glustruct.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | """Base class for GLU callback-caching structures"""
import ctypes
import weakref
from OpenGL._bytes import long, integer_types
class GLUStruct( object ):
"""Mix-in class for GLU Structures that want to retain references to callbacks
Also provides original-object-return for the "datapointer" style... | 42.272727 | 83 | 0.610753 |
7c8475b2bd5948c05b213222fa506ea5a494fa40 | 108 | py | Python | tests/samples/project/vendor/fooba/models/config_dependency_inheritance.py | machinable-org/machinable | 9d96e942dde05d68699bc7bc0c3d062ee18652ad | [
"MIT"
] | 23 | 2020-02-28T14:29:04.000Z | 2021-12-23T20:50:54.000Z | tests/samples/project/vendor/fooba/models/config_dependency_inheritance.py | machinable-org/machinable | 9d96e942dde05d68699bc7bc0c3d062ee18652ad | [
"MIT"
] | 172 | 2020-02-24T12:12:11.000Z | 2022-03-29T03:08:24.000Z | tests/samples/project/vendor/fooba/models/config_dependency_inheritance.py | machinable-org/machinable | 9d96e942dde05d68699bc7bc0c3d062ee18652ad | [
"MIT"
] | 1 | 2020-11-23T22:42:20.000Z | 2020-11-23T22:42:20.000Z | from .extended import ExtendedTestModel
class DependencyInhertanceTestModel(ExtendedTestModel):
pass
| 15.428571 | 55 | 0.833333 |
d1fea66e8c8da10d52738a32fafea13cc59eae8a | 957 | py | Python | backend/tests/improvements/test_mine.py | aecobb53/civ_vi_city_planner | bac9517507f0f50a172fe821a8c08d7945fdf74f | [
"MIT"
] | 2 | 2020-12-10T03:10:52.000Z | 2020-12-27T06:17:01.000Z | backend/tests/improvements/test_mine.py | aecobb53/civ_vi_city_planner | bac9517507f0f50a172fe821a8c08d7945fdf74f | [
"MIT"
] | 8 | 2020-12-10T06:38:10.000Z | 2021-05-01T22:27:37.000Z | backend/tests/improvements/test_mine.py | aecobb53/civ_vi_city_planner | bac9517507f0f50a172fe821a8c08d7945fdf74f | [
"MIT"
] | null | null | null | from backend.improvements.mine import Mine
import pytest
@pytest.fixture(scope="function")
def setup_improvement():
imp = Mine()
return imp
# Init
testdata = [
('food', 0),
('production', 1),
('gold', 0),
('science', 0),
('culture', 0),
('faith', 0),
('housing', 0),
('appeal', ... | 20.361702 | 55 | 0.524556 |
166b090810123ffc24f006e7ad0cc51fc8ab4bb2 | 1,950 | py | Python | src/sim/06-allegheny-05-school-work-flu/sim-test-02.py | momacs/pram | d2de43ea447d13a65d814f781ec86889754f76fe | [
"BSD-3-Clause"
] | 10 | 2019-01-18T19:11:54.000Z | 2022-03-16T08:39:36.000Z | src/sim/06-allegheny-05-school-work-flu/sim-test-02.py | momacs/pram | d2de43ea447d13a65d814f781ec86889754f76fe | [
"BSD-3-Clause"
] | 2 | 2019-02-19T15:10:44.000Z | 2019-02-26T04:26:24.000Z | src/sim/06-allegheny-05-school-work-flu/sim-test-02.py | momacs/pram | d2de43ea447d13a65d814f781ec86889754f76fe | [
"BSD-3-Clause"
] | 3 | 2019-02-19T15:11:08.000Z | 2021-08-20T11:51:04.000Z | '''
A test simulation involving the SEIR flu model that is run on an hourly basis (instead of the default hourly
basis).
'''
import pram.util as util
from pram.data import GroupSizeProbe, ProbeMsgMode
from pram.entity import Group, Site
from pram.rule import Rule, SEIRFluRule, TimeAlways
from pram.sim import S... | 27.857143 | 159 | 0.521026 |
47e179db41e8ea9c1fb17338e8315c927fc73de6 | 12,164 | py | Python | django/db/backends/mysql/operations.py | crdoconnor/django | c530428d360daf904c9e98515ea836643a73a54c | [
"PSF-2.0",
"BSD-3-Clause"
] | 1 | 2019-04-27T20:12:45.000Z | 2019-04-27T20:12:45.000Z | django/db/backends/mysql/operations.py | crdoconnor/django | c530428d360daf904c9e98515ea836643a73a54c | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | django/db/backends/mysql/operations.py | crdoconnor/django | c530428d360daf904c9e98515ea836643a73a54c | [
"PSF-2.0",
"BSD-3-Clause"
] | 1 | 2018-12-10T03:06:36.000Z | 2018-12-10T03:06:36.000Z | import uuid
from django.conf import settings
from django.db.backends.base.operations import BaseDatabaseOperations
from django.utils import timezone
from django.utils.duration import duration_microseconds
from django.utils.encoding import force_text
class DatabaseOperations(BaseDatabaseOperations):
compiler_modu... | 41.094595 | 113 | 0.605886 |
a0b5918d1dd1ea976c8f51901ddddb3226d6e815 | 6,263 | py | Python | muskit/svs/feats_extract/dio.py | A-Quarter-Mile/Muskits | 60d80727d2ec6b8ec405502d67796e8df319ea82 | [
"Apache-2.0"
] | 74 | 2021-04-15T15:39:32.000Z | 2022-03-23T03:34:25.000Z | muskit/svs/feats_extract/dio.py | A-Quarter-Mile/Muskits | 60d80727d2ec6b8ec405502d67796e8df319ea82 | [
"Apache-2.0"
] | 33 | 2021-04-30T18:24:47.000Z | 2022-03-29T13:27:40.000Z | muskit/svs/feats_extract/dio.py | A-Quarter-Mile/Muskits | 60d80727d2ec6b8ec405502d67796e8df319ea82 | [
"Apache-2.0"
] | 24 | 2021-04-15T15:20:32.000Z | 2022-03-19T04:03:25.000Z | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""F0 extractor using DIO + Stonemask algorithm."""
import logging
from typing import Any
from typing import Dict
from typing import Tuple
from typing import Union
import humanfriendly
import numpy as np
... | 34.224044 | 88 | 0.608654 |
11eabff3021d40aa4ce1808e915123def7af4bba | 4,320 | py | Python | tools/run_sim.py | ptracton/wb_soc_template | ddd2e8460fa996551ef2d1fa5be2550c66d96bf3 | [
"MIT"
] | null | null | null | tools/run_sim.py | ptracton/wb_soc_template | ddd2e8460fa996551ef2d1fa5be2550c66d96bf3 | [
"MIT"
] | null | null | null | tools/run_sim.py | ptracton/wb_soc_template | ddd2e8460fa996551ef2d1fa5be2550c66d96bf3 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
"""
run_sim.py
Run FPGA simulations via Icarus, NCVerilog, Modelsim or Isim.
"""
import json
import os
import shlex
import subprocess
import sys
import argparse
import string
def which(program):
"""
Find the path to an executable program
"""
def is_exe(fpath):
"""
... | 32.481203 | 79 | 0.520602 |
213602451fd8941d0f5d0d762712d59591c86c3b | 1,665 | py | Python | sarsa/sarsa_mc.py | AgentMaker/Paddle-RLBooks | 2e879f7ec3befa2058f0181e205b790d47770a85 | [
"Apache-2.0"
] | 127 | 2021-03-22T07:34:43.000Z | 2022-02-04T13:33:15.000Z | sarsa/sarsa_mc.py | WhiteFireFox/Paddle-RLBooks | 1a6add1d01b1bab08bb9d246fcd6ab852a43c18c | [
"Apache-2.0"
] | 1 | 2021-05-16T09:51:07.000Z | 2021-05-16T09:51:07.000Z | sarsa/sarsa_mc.py | WhiteFireFox/Paddle-RLBooks | 1a6add1d01b1bab08bb9d246fcd6ab852a43c18c | [
"Apache-2.0"
] | 16 | 2021-04-03T05:31:30.000Z | 2022-03-26T07:53:49.000Z | import numpy as np
from cliffwalk.cliffwalk import GridWorld
def egreedy_policy(q_values, state, epsilon=0.1):
if np.random.random() < epsilon:
return np.random.choice(4)
else:
return np.argmax(q_values[state])
def sarsa_mc(env,
actions=['UP', 'DOWN', 'RIGHT', 'LEFT'],
... | 26.015625 | 73 | 0.538739 |
e77964d875066ad3ed8a2d286cd851bccbcf85c0 | 807 | py | Python | backend/recipe_backend/recipe_backend/urls.py | Nadin007/foodgram-project-react | 969f07e4cc74321fbdb566d4cb160ac8eefdde3e | [
"MIT"
] | null | null | null | backend/recipe_backend/recipe_backend/urls.py | Nadin007/foodgram-project-react | 969f07e4cc74321fbdb566d4cb160ac8eefdde3e | [
"MIT"
] | null | null | null | backend/recipe_backend/recipe_backend/urls.py | Nadin007/foodgram-project-react | 969f07e4cc74321fbdb566d4cb160ac8eefdde3e | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import include, path
from django.views.generic import TemplateView
urlpatterns = [
path('admin/', admin.site.urls),
path('api/', include('recipe_features.urls')),
path('api/', inclu... | 32.28 | 64 | 0.702602 |
59444ec2836128266d785c3f1502e917a05f4217 | 10,634 | py | Python | models/common.py | MinkaiXu/GeoDiff | c6f26dc250308bff8923a19884e601e0bb0f975a | [
"MIT"
] | 9 | 2022-03-08T12:32:29.000Z | 2022-03-31T10:39:45.000Z | models/common.py | MinkaiXu/GeoDiff | c6f26dc250308bff8923a19884e601e0bb0f975a | [
"MIT"
] | 1 | 2022-03-30T23:03:07.000Z | 2022-03-31T00:12:07.000Z | models/common.py | MinkaiXu/GeoDiff | c6f26dc250308bff8923a19884e601e0bb0f975a | [
"MIT"
] | 3 | 2022-03-01T06:45:40.000Z | 2022-03-30T13:12:20.000Z | # coding=utf-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import radius_graph, radius
from torch_scatter import scatter_mean, scatter_add, scatter_max
from torch_sparse import coalesce
from torch_geometric.utils import to_dense_adj, dense_to_sparse
from utils.chem import... | 35.684564 | 117 | 0.653282 |
688d27831e4acceb1f167858d0e57a307f9c234e | 2,494 | py | Python | mq+mcp3008.py | mcthoren/mq_gases | e26ac3ba6d0ca321afdaaf80047b632824454d80 | [
"0BSD"
] | null | null | null | mq+mcp3008.py | mcthoren/mq_gases | e26ac3ba6d0ca321afdaaf80047b632824454d80 | [
"0BSD"
] | null | null | null | mq+mcp3008.py | mcthoren/mq_gases | e26ac3ba6d0ca321afdaaf80047b632824454d80 | [
"0BSD"
] | null | null | null | #!/usr/bin/python3
# SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
# thanks to Adafruit for all the docs, boards and code.
# docs and example code from here:
# https://learn.adafruit.com/mcp3008-spi-adc?view=all
# datasheet here:
# https://cdn-shop.adafruit.com/datasheet... | 31.175 | 108 | 0.691259 |
4f8d8d3aae7ea0c73c9796c697bedd1f5e2521ee | 960 | py | Python | var/spack/repos/builtin/packages/fish/package.py | adrianjhpc/spack | 0a9e4fcee57911f2db586aa50c8873d9cca8de92 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2020-10-15T01:08:42.000Z | 2021-10-18T01:28:18.000Z | var/spack/repos/builtin/packages/fish/package.py | adrianjhpc/spack | 0a9e4fcee57911f2db586aa50c8873d9cca8de92 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2019-07-30T10:12:28.000Z | 2019-12-17T09:02:27.000Z | var/spack/repos/builtin/packages/fish/package.py | adrianjhpc/spack | 0a9e4fcee57911f2db586aa50c8873d9cca8de92 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 5 | 2019-07-30T09:42:14.000Z | 2021-01-25T05:39:20.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Fish(AutotoolsPackage):
"""fish is a smart and user-friendly command line shell for OS X, ... | 40 | 99 | 0.752083 |
7431ca707606785d71c417172c9adc4daeccc68c | 2,892 | py | Python | test/www/url-encoding.py | Vanuan/phantomjs | 54f331b1b5bba48a2624b2d7c288f8cade101e5e | [
"BSD-3-Clause"
] | 1 | 2021-05-18T13:32:05.000Z | 2021-05-18T13:32:05.000Z | test/www/url-encoding.py | Vanuan/phantomjs | 54f331b1b5bba48a2624b2d7c288f8cade101e5e | [
"BSD-3-Clause"
] | null | null | null | test/www/url-encoding.py | Vanuan/phantomjs | 54f331b1b5bba48a2624b2d7c288f8cade101e5e | [
"BSD-3-Clause"
] | null | null | null | # -*- encoding: utf-8 -*-
import urlparse
from cStringIO import StringIO
import time
def html_esc(s):
return s.replace('&','&').replace('<','<').replace('>','>')
def do_response(req, body, code=200, headers={}):
req.send_response(code)
req.send_header('Content-Length', str(len(body)))
if 'Co... | 33.241379 | 73 | 0.561895 |
07b133eac2957888817a68b2def6d0e3aac3c5d3 | 4,870 | py | Python | examples/smri_ants_build_template.py | sebastientourbier/nipype | 99c5904176481520c5bf42a501aae1a12184e672 | [
"Apache-2.0"
] | 2 | 2019-01-25T18:20:51.000Z | 2019-07-30T20:51:51.000Z | examples/smri_ants_build_template.py | sebastientourbier/nipype | 99c5904176481520c5bf42a501aae1a12184e672 | [
"Apache-2.0"
] | null | null | null | examples/smri_ants_build_template.py | sebastientourbier/nipype | 99c5904176481520c5bf42a501aae1a12184e672 | [
"Apache-2.0"
] | 2 | 2018-01-25T19:48:17.000Z | 2019-01-25T18:20:52.000Z | #!/usr/bin/env python
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
===============================================
sMRI: Using new ANTS for creating a T1 template
===============================================
In this tutorial we will use ANTS (... | 35.547445 | 131 | 0.744559 |
1eb9690860bc156e5f18c96cb70cab862d775043 | 88 | py | Python | python/git_manage/scripts/__init__.py | danb0b/code_git_tools | 3661e90ea5e93012c203ed9569ad956b322729f2 | [
"MIT"
] | null | null | null | python/git_manage/scripts/__init__.py | danb0b/code_git_tools | 3661e90ea5e93012c203ed9569ad956b322729f2 | [
"MIT"
] | null | null | null | python/git_manage/scripts/__init__.py | danb0b/code_git_tools | 3661e90ea5e93012c203ed9569ad956b322729f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 22 19:45:01 2019
@author: danaukes
"""
| 11 | 35 | 0.579545 |
ac08faee093de8f578577414e56d4047c5ec4888 | 1,816 | py | Python | native_client_sdk/src/build_tools/dsc_info.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 1 | 2019-11-28T10:46:52.000Z | 2019-11-28T10:46:52.000Z | native_client_sdk/src/build_tools/dsc_info.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | native_client_sdk/src/build_tools/dsc_info.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2015-03-27T11:15:39.000Z | 2016-08-17T14:19:56.000Z | #!/usr/bin/env python
# Copyright 2013 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.
"""Extracts information from a library.dsc file."""
import optparse
import os
import sys
import parse_dsc
def Error(msg):
print >>... | 27.515152 | 75 | 0.670705 |
595fc5cc61fa53462a6ee74873f999226c5a2338 | 6,234 | py | Python | torchlib/generative_model/gan/infogan/trainer.py | vermouth1992/torchlib | 63b2bedb40f670b2d9fbfc0daeab4a8d44623095 | [
"MIT"
] | 3 | 2019-07-23T21:32:36.000Z | 2022-02-04T23:13:30.000Z | torchlib/generative_model/gan/infogan/trainer.py | vermouth1992/torchlib | 63b2bedb40f670b2d9fbfc0daeab4a8d44623095 | [
"MIT"
] | null | null | null | torchlib/generative_model/gan/infogan/trainer.py | vermouth1992/torchlib | 63b2bedb40f670b2d9fbfc0daeab4a8d44623095 | [
"MIT"
] | 1 | 2019-07-23T21:32:23.000Z | 2019-07-23T21:32:23.000Z | """
Trainer for infogan
"""
import numpy as np
import torch
from torchlib.common import FloatTensor
from torchlib.utils.plot import get_visdom_line_plotter
from torch.autograd import Variable
from tqdm import tqdm
class Trainer(object):
def __init__(self, trick_dict=None):
if trick_dict is None:
... | 41.013158 | 110 | 0.598813 |
02c032e1c3cacae4c5f1e83dbac8cc0d8f2929fe | 32,679 | py | Python | test/IECore/Imath.py | gcodebackups/cortex-vfx | 72fa6c6eb3327fce4faf01361c8fcc2e1e892672 | [
"BSD-3-Clause"
] | 5 | 2016-07-26T06:09:28.000Z | 2022-03-07T03:58:51.000Z | test/IECore/Imath.py | turbosun/cortex | 4bdc01a692652cd562f3bfa85f3dae99d07c0b15 | [
"BSD-3-Clause"
] | null | null | null | test/IECore/Imath.py | turbosun/cortex | 4bdc01a692652cd562f3bfa85f3dae99d07c0b15 | [
"BSD-3-Clause"
] | 3 | 2015-03-25T18:45:24.000Z | 2020-02-15T15:37:18.000Z | ##########################################################################
#
# Copyright (c) 2007-2011, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redis... | 25.041379 | 116 | 0.601793 |
d4c0ea9454c9cbe2f952f88ed7788fe77deba877 | 2,515 | py | Python | tasks.py | RTBHOUSE/here-be-pythons | c066768c3afca4e2aff2dcdcf5ead36ed1ba9827 | [
"MIT"
] | null | null | null | tasks.py | RTBHOUSE/here-be-pythons | c066768c3afca4e2aff2dcdcf5ead36ed1ba9827 | [
"MIT"
] | null | null | null | tasks.py | RTBHOUSE/here-be-pythons | c066768c3afca4e2aff2dcdcf5ead36ed1ba9827 | [
"MIT"
] | 1 | 2019-07-03T15:11:14.000Z | 2019-07-03T15:11:14.000Z | import invoke
from utils import cowsay
##############
# Core Tasks #
##############
@invoke.task
def coverage_report(c):
"""Open refreshed coverage report in a browser."""
c.run('coverage html && open htmlcov/index.html', pty=True)
@invoke.task
def flake8_report(c):
"""Open refreshed Flake8 report in ... | 26.473684 | 92 | 0.647714 |
78f8cf8892e66efffc7010a037073d847eaa3cb4 | 3,497 | py | Python | runway/cfngin/lookups/registry.py | cmilam87/runway | e1b2aca8e9468bf246ae5afa878ed4a36fb36ab1 | [
"Apache-2.0"
] | null | null | null | runway/cfngin/lookups/registry.py | cmilam87/runway | e1b2aca8e9468bf246ae5afa878ed4a36fb36ab1 | [
"Apache-2.0"
] | null | null | null | runway/cfngin/lookups/registry.py | cmilam87/runway | e1b2aca8e9468bf246ae5afa878ed4a36fb36ab1 | [
"Apache-2.0"
] | null | null | null | """CFNgin lookup registry."""
import logging
import warnings
from six import string_types
from runway.util import load_object_from_string
from ..exceptions import FailedVariableLookup, UnknownLookupType
from .handlers import ami, default, dynamodb, envvar
from .handlers import file as file_handler
from .handlers imp... | 34.623762 | 79 | 0.706892 |
535c97a2c3bd9238db06791e2a52b26922f0879d | 110,031 | py | Python | tests/validation/tests/v3_api/common.py | dveni/rancher | 6a0a991109ca2e88aff9687300b2fe5a70ff8e49 | [
"Apache-2.0"
] | 2 | 2021-11-01T05:49:31.000Z | 2021-11-01T05:49:37.000Z | tests/validation/tests/v3_api/common.py | dveni/rancher | 6a0a991109ca2e88aff9687300b2fe5a70ff8e49 | [
"Apache-2.0"
] | null | null | null | tests/validation/tests/v3_api/common.py | dveni/rancher | 6a0a991109ca2e88aff9687300b2fe5a70ff8e49 | [
"Apache-2.0"
] | null | null | null | from ..common import * # NOQA
import inspect
import json
import os
import random
import subprocess
import ssl
import time
import requests
import ast
import paramiko
import rancher
import pytest
from urllib.parse import urlparse
from rancher import ApiError
from lib.aws import AmazonWebServices
from copy import deepcop... | 36.910768 | 117 | 0.615726 |
ec9a61eca11175ab9b5c6a3173863a806c7d91a4 | 1,303 | py | Python | monk/system_unit_tests/gluon/test_activation_gelu.py | Shreyashwaghe/monk_v1 | 4ee4d9483e8ffac9b73a41f3c378e5abf5fc799b | [
"Apache-2.0"
] | 7 | 2020-07-26T08:37:29.000Z | 2020-10-30T10:23:11.000Z | monk/system_unit_tests/gluon/test_activation_gelu.py | mursalfk/monk_v1 | 62f34a52f242772186ffff7e56764e958fbcd920 | [
"Apache-2.0"
] | 9 | 2020-01-28T21:40:39.000Z | 2022-02-10T01:24:06.000Z | monk/system_unit_tests/gluon/test_activation_gelu.py | mursalfk/monk_v1 | 62f34a52f242772186ffff7e56764e958fbcd920 | [
"Apache-2.0"
] | 1 | 2020-10-07T12:57:44.000Z | 2020-10-07T12:57:44.000Z | import os
import sys
sys.path.append("../../../monk/");
import psutil
from gluon_prototype import prototype
from compare_prototype import compare
from common import print_start
from common import print_status
import mxnet as mx
import numpy as np
from gluon.losses.return_loss import load_loss
def test_activation_ge... | 26.591837 | 71 | 0.61934 |
567a4544633008e6c6956e45c7bf2aec156faddf | 10,041 | py | Python | tests/contenttypes_tests/test_views.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/contenttypes_tests/test_views.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/contenttypes_tests/test_views.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | import datetime
from unittest import mock
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes.views import shortcut
from django.contrib.sites.models import Site
from django.contrib.sites.shortcuts import get_current_site
from django.http import Http404, HttpRequest
from ... | 48.043062 | 119 | 0.65601 |
eec372270713adc4becfebb98ad601a30fbb0b58 | 521 | py | Python | core/migrations/0006_appconfig.py | aashreyj/Audition-Management-System | 7bb3ad014920b9f7db5f9a6d6a93d7fc96e16926 | [
"MIT"
] | 3 | 2019-01-29T19:07:21.000Z | 2022-03-10T08:33:31.000Z | core/migrations/0006_appconfig.py | aashreyj/Audition-Management-System | 7bb3ad014920b9f7db5f9a6d6a93d7fc96e16926 | [
"MIT"
] | 18 | 2019-01-29T19:10:51.000Z | 2019-02-08T06:55:35.000Z | core/migrations/0006_appconfig.py | JayjeetAtGithub/Audition-Management-System | c10a48733f74022e52b5cf4729dac8622a57c0d5 | [
"MIT"
] | 8 | 2019-01-31T14:42:33.000Z | 2021-02-24T19:10:40.000Z | # Generated by Django 2.1.5 on 2019-01-24 13:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0005_student_stopped'),
]
operations = [
migrations.CreateModel(
name='AppConfig',
fields=[
... | 24.809524 | 114 | 0.585413 |
39b6d60b0077d8a2d2a0ea4b350131c055dd69e9 | 5,276 | py | Python | scripts/quad_walk_mult.py | WPI-MMR/quadrupedal_walking_controller | 952bc350b2204f2a742bf469af1386a2b80ab4bd | [
"Apache-2.0"
] | null | null | null | scripts/quad_walk_mult.py | WPI-MMR/quadrupedal_walking_controller | 952bc350b2204f2a742bf469af1386a2b80ab4bd | [
"Apache-2.0"
] | null | null | null | scripts/quad_walk_mult.py | WPI-MMR/quadrupedal_walking_controller | 952bc350b2204f2a742bf469af1386a2b80ab4bd | [
"Apache-2.0"
] | null | null | null | import gym
import gym_solo
from gym_solo.envs import solo8v2vanilla_realtime
from gym_solo.core import rewards
from gym_solo import testing
from tqdm import tqdm
import matplotlib.pyplot as plt
import numpy as np
import argparse
import math
import threading
import time
import wandb
class DistanceReward(rewards.Rew... | 25.862745 | 81 | 0.69655 |
c0fb1e896dfaf267de9b9410b69542268e20185a | 3,996 | py | Python | hubspot/cms/hubdb/__init__.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/cms/hubdb/__init__.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/cms/hubdb/__init__.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# flake8: noqa
"""
HubDB endpoints
HubDB is a relational data store that presents data as rows, columns, and cells in a table, much like a spreadsheet. HubDB tables can be added or modified [in the HubSpot CMS](https://knowledge.hubspot.com/cos-general/how-to-edit-hubdb-tables), but you can a... | 61.476923 | 1,304 | 0.835335 |
942906e319b8e14e5317ed0a1af3b7e5abbfac34 | 132 | py | Python | connect4/apps.py | ozzy92/JaysConnect4 | 831eee406594348b0ecfea325873bd9c47bece91 | [
"MIT"
] | null | null | null | connect4/apps.py | ozzy92/JaysConnect4 | 831eee406594348b0ecfea325873bd9c47bece91 | [
"MIT"
] | null | null | null | connect4/apps.py | ozzy92/JaysConnect4 | 831eee406594348b0ecfea325873bd9c47bece91 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.apps import AppConfig
class Connect4Config(AppConfig):
name = 'connect4'
| 16.5 | 39 | 0.795455 |
217ee6f60e2d962c01e38823e89950092847abd4 | 5,158 | py | Python | tests/test_miner_sim.py | gitter-badger/py-flexpoolapi | feccb28321575afde1f64643a5d96724f09a9214 | [
"MIT"
] | null | null | null | tests/test_miner_sim.py | gitter-badger/py-flexpoolapi | feccb28321575afde1f64643a5d96724f09a9214 | [
"MIT"
] | null | null | null | tests/test_miner_sim.py | gitter-badger/py-flexpoolapi | feccb28321575afde1f64643a5d96724f09a9214 | [
"MIT"
] | null | null | null | #
# Software distrubuted under MIT License (MIT)
#
# Copyright (c) 2020 Flexpool
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# ... | 47.759259 | 118 | 0.705312 |
c27cedd35cb43b55cf4605836a232139f9577786 | 8,038 | py | Python | neutron/db/migration/alembic_migrations/cisco_init_ops.py | gampel/neutron | 51a6260266dc59c066072ca890ad9c40b1aad6cf | [
"Apache-2.0"
] | 10 | 2015-09-22T10:22:53.000Z | 2016-02-25T06:12:05.000Z | neutron/db/migration/alembic_migrations/cisco_init_ops.py | gampel/neutron | 51a6260266dc59c066072ca890ad9c40b1aad6cf | [
"Apache-2.0"
] | 12 | 2015-01-08T18:30:45.000Z | 2015-03-13T21:04:15.000Z | neutron/db/migration/alembic_migrations/cisco_init_ops.py | gampel/neutron | 51a6260266dc59c066072ca890ad9c40b1aad6cf | [
"Apache-2.0"
] | 7 | 2015-02-05T10:23:52.000Z | 2019-05-18T17:11:19.000Z | # Copyright 2014 OpenStack Foundation
#
# 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 ... | 45.670455 | 78 | 0.654143 |
8d95189d02606f9195921321a95976c50ffd5b87 | 8,440 | py | Python | all_repos/autofix_lib.py | charlievieth/all-repos | 279d2910c56567d9518ab41bd8894216b9f649e5 | [
"MIT"
] | null | null | null | all_repos/autofix_lib.py | charlievieth/all-repos | 279d2910c56567d9518ab41bd8894216b9f649e5 | [
"MIT"
] | null | null | null | all_repos/autofix_lib.py | charlievieth/all-repos | 279d2910c56567d9518ab41bd8894216b9f649e5 | [
"MIT"
] | null | null | null | import argparse
import contextlib
import functools
import os
import shlex
import subprocess
import tempfile
import traceback
from typing import Any
from typing import Callable
from typing import Generator
from typing import Iterable
from typing import NamedTuple
from typing import NoReturn
from typing import Optional
f... | 29.407666 | 79 | 0.59372 |
5295066e967236d3a0aaf1f00c316b1008b3f527 | 4,461 | py | Python | src/main.py | tonifuc3m/drugprot-evaluation-library | 6b939554de38dbb69c462cc0d45c1cb17c3eaf57 | [
"MIT"
] | 3 | 2021-07-14T13:51:10.000Z | 2021-11-18T05:56:39.000Z | src/main.py | tonifuc3m/drugprot-evaluation-library | 6b939554de38dbb69c462cc0d45c1cb17c3eaf57 | [
"MIT"
] | 1 | 2021-08-04T00:41:18.000Z | 2021-08-12T22:54:33.000Z | src/main.py | tonifuc3m/drugprot-evaluation-library | 6b939554de38dbb69c462cc0d45c1cb17c3eaf57 | [
"MIT"
] | 2 | 2021-07-25T12:06:50.000Z | 2021-08-12T18:16:58.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 29 15:32:08 2021
@author: tonifuc3m
"""
import argparse
import warnings
import pandas as pd
import os
import compute_metrics
from utils import load_entities_dict, prepro_relations, \
format_relations, get_chemical_gene_combinations, filter_pre... | 38.791304 | 104 | 0.629455 |
f60df4417d42939c2f2ec9a12e6964b2a0424164 | 1,478 | py | Python | 19.2.py | StPluto/Test19 | 8d33e53fe302bf750b88ff1ba5231f9b966e344c | [
"MIT"
] | null | null | null | 19.2.py | StPluto/Test19 | 8d33e53fe302bf750b88ff1ba5231f9b966e344c | [
"MIT"
] | null | null | null | 19.2.py | StPluto/Test19 | 8d33e53fe302bf750b88ff1ba5231f9b966e344c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- config: utf-8 -*-
# перепишите программу из пункта 8 так, чтобы интерфейс выглядел
# примерно следующим образом:
from tkinter import *
class Window(Tk):
# создание окна
def __init__(self):
super().__init__()
self.title('Радуга')
self.geometr... | 31.446809 | 97 | 0.548038 |
1b78cd893112a87a1bde1f813faa929a6819048f | 22,293 | py | Python | libs/sol-REL-1.7.5.0/sensorobjectlibrary/SolDefines.py | realms-team/solmanager | 95fa049df041add5f8d37c053ef560d0e5d06dff | [
"BSD-3-Clause"
] | null | null | null | libs/sol-REL-1.7.5.0/sensorobjectlibrary/SolDefines.py | realms-team/solmanager | 95fa049df041add5f8d37c053ef560d0e5d06dff | [
"BSD-3-Clause"
] | 104 | 2016-04-10T19:22:20.000Z | 2018-11-20T15:47:14.000Z | libs/sol-REL-1.7.5.0/sensorobjectlibrary/SolDefines.py | realms-team/solmanager | 95fa049df041add5f8d37c053ef560d0e5d06dff | [
"BSD-3-Clause"
] | null | null | null | from math import sqrt as sqrt
import sys
SOL_PORT = 0xf0ba
# type names
SOL_TYPE_DISTANCE_JUDD_RS232_RAW = 0x01
SOL_TYPE_DISTANCE_JUDD_RS232_STATS = 0x02
SOL_TYPE_SNOW_MAXBOTIX_MB7554_RS232_RAW = 0x03
SOL_TYPE_SNOW_MAXBOTIX_MB7554_RS232_STATS = 0x04
SOL_TY... | 32.592105 | 121 | 0.451801 |
bd21a9ab2e1b09e120414df555e030c0e26aaaca | 9,791 | py | Python | ObfuscateCommands.py | CyberMatters/ObfuscateCommands | ca3f857303b45bb7cd89e897ab25aae48184f562 | [
"Apache-2.0"
] | null | null | null | ObfuscateCommands.py | CyberMatters/ObfuscateCommands | ca3f857303b45bb7cd89e897ab25aae48184f562 | [
"Apache-2.0"
] | null | null | null | ObfuscateCommands.py | CyberMatters/ObfuscateCommands | ca3f857303b45bb7cd89e897ab25aae48184f562 | [
"Apache-2.0"
] | null | null | null | # Copyright [2021] [Intrinsec]
# Program written by Dany GIANG aka CyberMatters
import argparse
import sys
import logging
import base64
import re
import pandas as pd
logger = logging.getLogger(__name__)
def clean_dataset(df):
logger.info("Cleaning dataset ...\n")
pattern_command_ok = re.compile(r'^\*[^\*]+\... | 35.219424 | 234 | 0.623634 |
1de18e8a3c1266e9e12bc063b5c4998b2a2b7d75 | 21,564 | py | Python | infra/cifuzz/cifuzz_test.py | liamjm/oss-fuzz | edf81080a87410ddf5f5e7e705173c2dd6a14ff9 | [
"Apache-2.0"
] | 1 | 2021-07-01T17:32:41.000Z | 2021-07-01T17:32:41.000Z | infra/cifuzz/cifuzz_test.py | liamjm/oss-fuzz | edf81080a87410ddf5f5e7e705173c2dd6a14ff9 | [
"Apache-2.0"
] | 2 | 2021-09-28T05:43:27.000Z | 2022-02-26T10:20:18.000Z | infra/cifuzz/cifuzz_test.py | liamjm/oss-fuzz | edf81080a87410ddf5f5e7e705173c2dd6a14ff9 | [
"Apache-2.0"
] | null | null | null | # 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, ... | 40.840909 | 80 | 0.663421 |
bcbd12c9b6d44fdcf49c26485686b31f1b116860 | 4,448 | py | Python | profiles/minkult.py | Zverik/osm_conflate | a7af835ce44b3ac194469b53b7f388bba168cbe4 | [
"Apache-2.0"
] | 42 | 2017-02-16T05:00:44.000Z | 2022-01-02T08:28:38.000Z | profiles/minkult.py | Zverik/osm_conflate | a7af835ce44b3ac194469b53b7f388bba168cbe4 | [
"Apache-2.0"
] | 26 | 2017-05-13T12:36:19.000Z | 2021-03-12T12:56:48.000Z | profiles/minkult.py | Zverik/osm_conflate | a7af835ce44b3ac194469b53b7f388bba168cbe4 | [
"Apache-2.0"
] | 20 | 2017-05-04T08:21:50.000Z | 2021-07-29T15:14:55.000Z | source = 'opendata.mkrf.ru'
dataset_id = 'mkrf_theaters'
query = [('amenity', 'theatre')]
max_distance = 300
master_tags = ('official_name', 'phone', 'opening_hours', 'website')
# Reading the dataset passport to determine an URL of the latest dataset version
def download_url():
import logging
import requests
... | 35.023622 | 92 | 0.505845 |
98e843465164918e5cbf5c523d0c1055f8cbb7ec | 936 | py | Python | ex053.py | lucaspereirag/pythonProject | 15a88762ca94322918474537bbed13e0ed2b60a6 | [
"MIT"
] | null | null | null | ex053.py | lucaspereirag/pythonProject | 15a88762ca94322918474537bbed13e0ed2b60a6 | [
"MIT"
] | null | null | null | ex053.py | lucaspereirag/pythonProject | 15a88762ca94322918474537bbed13e0ed2b60a6 | [
"MIT"
] | null | null | null | palindromo = str(input('Digite uma frase: ')).strip().upper() #espaços eliminados
palavras = palindromo.split() #gerou uma lista
frase = ''.join(palavras) #juntou a lista sem espaço
inverso = frase[::-1]
print('O inverso de {} é {}'.format(frase, inverso))
if inverso == frase:
print('A frase é um palíndromo!')... | 37.44 | 105 | 0.679487 |
9841aee11aa0504aba7768a5fe9e573981f6fc33 | 26,471 | py | Python | tests/calendars/test_trading_calendar.py | AustenZhu/zipline | 285d06ba7996fb4959b8dd1c1a72fe802661b7ba | [
"Apache-2.0"
] | 1 | 2018-04-05T05:33:34.000Z | 2018-04-05T05:33:34.000Z | tests/calendars/test_trading_calendar.py | miguelyad26/zipline | 52b332919e133750dfd8b726b474179f5a989430 | [
"Apache-2.0"
] | null | null | null | tests/calendars/test_trading_calendar.py | miguelyad26/zipline | 52b332919e133750dfd8b726b474179f5a989430 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 35.341789 | 79 | 0.601451 |
eea0e208fa585f82dc6321906ad0b2dca20ec1b5 | 991 | py | Python | library/script/dcp_pad.py | NYCPlanning/db-data-library | 2e824434683216978c5333a37df0efe51152e16d | [
"MIT"
] | 1 | 2022-01-24T22:05:11.000Z | 2022-01-24T22:05:11.000Z | library/script/dcp_pad.py | NYCPlanning/db-data-library | 2e824434683216978c5333a37df0efe51152e16d | [
"MIT"
] | 112 | 2021-01-21T17:20:02.000Z | 2022-03-30T20:42:41.000Z | library/script/dcp_pad.py | NYCPlanning/db-data-library | 2e824434683216978c5333a37df0efe51152e16d | [
"MIT"
] | null | null | null | import os
from zipfile import ZipFile
import pandas as pd
import requests
from . import df_to_tempfile
class Scriptor:
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
@property
def version(self):
return self.config["dataset"]["version"]
def ingest(self) -> pd.DataFrame:
... | 27.527778 | 108 | 0.614531 |
e2e637ef3e16c9b551178325b15b9743bdb1c05c | 3,700 | py | Python | processing/pre_extract_database.py | shizsun0609tw/visil | b06c235eb76d715f0ff2277210fd5b692a5a52ed | [
"Apache-2.0"
] | null | null | null | processing/pre_extract_database.py | shizsun0609tw/visil | b06c235eb76d715f0ff2277210fd5b692a5a52ed | [
"Apache-2.0"
] | null | null | null | processing/pre_extract_database.py | shizsun0609tw/visil | b06c235eb76d715f0ff2277210fd5b692a5a52ed | [
"Apache-2.0"
] | null | null | null | import json
import argparse
import tensorflow as tf
import numpy as np
import sys
import pickle
sys.path.append('/home/zhenhua/Project/Fake_News/visil')
from tqdm import tqdm
from model.visil import ViSiL
from datasets import VideoGenerator
# python3 processing/pre_extract_database.py --query_file queries.tx... | 46.25 | 123 | 0.625405 |
15ed94a962e6c8cc418e937aa0988b15abc6da9c | 4,100 | py | Python | pay-api/tests/unit/services/test_invoice.py | nitheesh-aot/sbc-pay | dcb9c1bd3d2954f11c8d643aa6618d8470e3b0f7 | [
"Apache-2.0"
] | null | null | null | pay-api/tests/unit/services/test_invoice.py | nitheesh-aot/sbc-pay | dcb9c1bd3d2954f11c8d643aa6618d8470e3b0f7 | [
"Apache-2.0"
] | null | null | null | pay-api/tests/unit/services/test_invoice.py | nitheesh-aot/sbc-pay | dcb9c1bd3d2954f11c8d643aa6618d8470e3b0f7 | [
"Apache-2.0"
] | null | null | null | # Copyright © 2019 Province of British Columbia
#
# 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 agr... | 34.745763 | 90 | 0.75878 |
bae8eb1f4df73a8d5b1ad9cecfbd7bbb9d16afcd | 5,387 | py | Python | examples/eq_van_der_pol.py | ZhaozhiQIAN/torchdiffeq | 5409011d64630618aad2a154f6b7a823376a8687 | [
"MIT"
] | null | null | null | examples/eq_van_der_pol.py | ZhaozhiQIAN/torchdiffeq | 5409011d64630618aad2a154f6b7a823376a8687 | [
"MIT"
] | null | null | null | examples/eq_van_der_pol.py | ZhaozhiQIAN/torchdiffeq | 5409011d64630618aad2a154f6b7a823376a8687 | [
"MIT"
] | null | null | null | import os
import argparse
import time
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from ode_models import *
parser = argparse.ArgumentParser('ODE demo')
parser.add_argument('--method', type=str, choices=['dopri5', 'adams'], default='dopri5')
parser.add_argument('--data_size', typ... | 30.95977 | 105 | 0.601634 |
8ad02af5f994380047cf12fcda8255279c7d9d61 | 14,842 | py | Python | fedlearner/data_join/joiner_impl/stream_joiner.py | WuLC/fedlearner | 7a9dbbecb1388bbb02dc04dfae1ddb810a427c4b | [
"Apache-2.0"
] | null | null | null | fedlearner/data_join/joiner_impl/stream_joiner.py | WuLC/fedlearner | 7a9dbbecb1388bbb02dc04dfae1ddb810a427c4b | [
"Apache-2.0"
] | null | null | null | fedlearner/data_join/joiner_impl/stream_joiner.py | WuLC/fedlearner | 7a9dbbecb1388bbb02dc04dfae1ddb810a427c4b | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The FedLearner 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 applica... | 43.145349 | 79 | 0.601065 |
a9777f0294ec9fae6d7e6279fec7e86c81925a47 | 21,283 | py | Python | mlmodels/model_tf/misc/tf_nlp/chatbot/48.transformer-xl-lstm.py | gitter-badger/mlmodels | f08cc9b6ec202d4ad25ecdda2f44487da387569d | [
"MIT"
] | 1 | 2022-03-11T07:57:48.000Z | 2022-03-11T07:57:48.000Z | mlmodels/model_tf/misc/tf_nlp/chatbot/48.transformer-xl-lstm.py | whitetiger1002/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | [
"MIT"
] | null | null | null | mlmodels/model_tf/misc/tf_nlp/chatbot/48.transformer-xl-lstm.py | whitetiger1002/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import collections
import os
import re
import time
import numpy as np
import tensorflow as tf
from sklearn.utils import shuffle
# In[2]:
def build_dataset(words, n_words, atleast=1):
count = [["PAD", 0], ["GO", 1], ["EOS", 2], ["UNK", 3]]
counter = collectio... | 31.024781 | 100 | 0.599634 |
7b988aef834ce4222c3c0cae78bf5cbf2d98afbc | 4,810 | py | Python | tests/test_user_add.py | ScilifelabDataCentre/Data-Delivery-System | 52cbb6ccce03123546062d02ee1b13d2049b3581 | [
"BSD-3-Clause"
] | 1 | 2021-04-27T08:29:29.000Z | 2021-04-27T08:29:29.000Z | tests/test_user_add.py | ScilifelabDataCentre/Data-Delivery-System | 52cbb6ccce03123546062d02ee1b13d2049b3581 | [
"BSD-3-Clause"
] | 308 | 2020-06-02T13:24:11.000Z | 2021-05-11T14:37:01.000Z | tests/test_user_add.py | ScilifelabDataCentre/Data-Delivery-System | 52cbb6ccce03123546062d02ee1b13d2049b3581 | [
"BSD-3-Clause"
] | null | null | null | import json
from dds_web import db
from dds_web.database import models
import tests
first_new_email = {"email": "first_test_email@mailtrap.io"}
first_new_user = {**first_new_email, "role": "Researcher"}
first_new_user_extra_args = {**first_new_user, "extra": "test"}
first_new_user_invalid_role = {**first_new_email, "r... | 35.109489 | 95 | 0.702287 |
c683082c992fe0d98fc14a72f31e8c5c10479091 | 1,055 | py | Python | test/runtime/operators_test/clipped_relu_test.py | steerapi/webdnn | 1df51cc094e5a528cfd3452c264905708eadb491 | [
"MIT"
] | 1 | 2021-04-09T15:55:35.000Z | 2021-04-09T15:55:35.000Z | test/runtime/operators_test/clipped_relu_test.py | steerapi/webdnn | 1df51cc094e5a528cfd3452c264905708eadb491 | [
"MIT"
] | null | null | null | test/runtime/operators_test/clipped_relu_test.py | steerapi/webdnn | 1df51cc094e5a528cfd3452c264905708eadb491 | [
"MIT"
] | null | null | null | import numpy as np
from test.util import generate_kernel_test_case, wrap_template
from webdnn.graph.graph import Graph
from webdnn.graph.operators.clipped_relu import ClippedRelu
from webdnn.graph.order import OrderNHWC, OrderNCHW
from webdnn.graph.variable import Variable
@wrap_template
def template(x_order=OrderNH... | 24.534884 | 87 | 0.696682 |
186e39cc2e949bf2e726e3f99f5236068090b614 | 158 | py | Python | apps/config.py | mrf-foundation/ckios_v1 | 3556a99ba5e01f00e137fd124903ace77d2cba28 | [
"Apache-2.0"
] | 1 | 2021-12-27T10:03:30.000Z | 2021-12-27T10:03:30.000Z | apps/config.py | mrf-foundation/ckios_v1 | 3556a99ba5e01f00e137fd124903ace77d2cba28 | [
"Apache-2.0"
] | null | null | null | apps/config.py | mrf-foundation/ckios_v1 | 3556a99ba5e01f00e137fd124903ace77d2cba28 | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class AppsConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'apps'
label = 'apps' | 22.571429 | 56 | 0.721519 |
02c7f99d47cf898a6bfeda3ade11eb0b59e4f17b | 724 | py | Python | var/spack/repos/builtin/packages/py-docutils-stubs/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 9 | 2018-04-18T07:51:40.000Z | 2021-09-10T03:56:57.000Z | var/spack/repos/builtin/packages/py-docutils-stubs/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 907 | 2018-04-18T11:17:57.000Z | 2022-03-31T13:20:25.000Z | var/spack/repos/builtin/packages/py-docutils-stubs/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 29 | 2018-11-05T16:14:23.000Z | 2022-02-03T16:07:09.000Z | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyDocutilsStubs(PythonPackage):
"""PEP 561 based Type information for docutils."""
ho... | 36.2 | 96 | 0.720994 |
8f8ddb33e58046843c93082b5f6e42c084cf606c | 1,286 | py | Python | backpack/extensions/secondorder/mngd/batchnorm1d.py | maryamhgf/backpack | 63d2717656df2e0f18b3b6ee50320e82ce7358b6 | [
"MIT"
] | null | null | null | backpack/extensions/secondorder/mngd/batchnorm1d.py | maryamhgf/backpack | 63d2717656df2e0f18b3b6ee50320e82ce7358b6 | [
"MIT"
] | null | null | null | backpack/extensions/secondorder/mngd/batchnorm1d.py | maryamhgf/backpack | 63d2717656df2e0f18b3b6ee50320e82ce7358b6 | [
"MIT"
] | 2 | 2021-06-11T14:15:28.000Z | 2021-06-16T11:19:11.000Z | import backpack.utils.linear as LinUtils
from backpack.core.derivatives.batchnorm1d import BatchNorm1dDerivatives
from backpack.extensions.secondorder.mngd.mngd_base import MNGDBaseModule
from torch import einsum
import torch
class MNGDBatchNorm1d(MNGDBaseModule):
def __init__(self):
super().__init__(deriv... | 44.344828 | 115 | 0.700622 |
945958989888a2b615e7eed9a30f2ed819bd0681 | 3,191 | py | Python | test_corpus.py | jakubkulhan/bayesian-spam-filter | 640917b8f93173c9286402fccd5ccc40a4c048dc | [
"MIT",
"Unlicense"
] | 1 | 2015-12-19T13:26:57.000Z | 2015-12-19T13:26:57.000Z | test_corpus.py | jakubkulhan/bayesian-spam-filter | 640917b8f93173c9286402fccd5ccc40a4c048dc | [
"MIT",
"Unlicense"
] | null | null | null | test_corpus.py | jakubkulhan/bayesian-spam-filter | 640917b8f93173c9286402fccd5ccc40a4c048dc | [
"MIT",
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Test the Corpus class."""
import os
import shutil
import unittest
from test_readClassificationFromFile import (
random_filename,
random_string,
FNAME_CHARS)
from corpus import Corpus
SPECIAL_FILENAME = '!special.txt'
CORPUS_DIR = 'testing_c... | 36.678161 | 97 | 0.642432 |
507739b347bc9d246161243a3ee5395fa04457f4 | 463 | py | Python | configs/segformer/segformer_mit-b3_512x512_20k_Road.py | kkkkkaiai/mmsegmentation | f597e8404417c46ff87e636a87d41e0af95abfa4 | [
"Apache-2.0"
] | null | null | null | configs/segformer/segformer_mit-b3_512x512_20k_Road.py | kkkkkaiai/mmsegmentation | f597e8404417c46ff87e636a87d41e0af95abfa4 | [
"Apache-2.0"
] | null | null | null | configs/segformer/segformer_mit-b3_512x512_20k_Road.py | kkkkkaiai/mmsegmentation | f597e8404417c46ff87e636a87d41e0af95abfa4 | [
"Apache-2.0"
] | null | null | null | _base_ = [
'../_base_/models/segformer_mit-b0.py', '../_base_/datasets/road.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
]
norm_cfg = dict(type='BN', requires_grad=True)
# model settings
model = dict(
# pretrained='models/road_v1.pth'
backbone=dict(
embed_dims=64,... | 30.866667 | 88 | 0.665227 |
6ee371d2b5dacdb1f6111c74646e403fb645e729 | 6,073 | py | Python | kube_scheduler/datadog_checks/kube_scheduler/config_models/defaults.py | OuesFa/integrations-core | 0ffe4ca306580a2e775b515152384034c2dfdc03 | [
"BSD-3-Clause"
] | null | null | null | kube_scheduler/datadog_checks/kube_scheduler/config_models/defaults.py | OuesFa/integrations-core | 0ffe4ca306580a2e775b515152384034c2dfdc03 | [
"BSD-3-Clause"
] | null | null | null | kube_scheduler/datadog_checks/kube_scheduler/config_models/defaults.py | OuesFa/integrations-core | 0ffe4ca306580a2e775b515152384034c2dfdc03 | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2021-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
# This file is autogenerated.
# To change this file you should edit assets/configuration/spec.yaml and then run the following commands:
# ddev -x validate config -s <INTEGRATION_NAME>
# ddev -x va... | 20.869416 | 105 | 0.783303 |
6dc3880a61d8d83b66cb032386032d9f5ac6705c | 5,465 | py | Python | experiments/first_attempts/models.py | lstrgar/experimental-rnns | c522ae373237811411f14212bceb97cda8ddcf36 | [
"MIT"
] | null | null | null | experiments/first_attempts/models.py | lstrgar/experimental-rnns | c522ae373237811411f14212bceb97cda8ddcf36 | [
"MIT"
] | null | null | null | experiments/first_attempts/models.py | lstrgar/experimental-rnns | c522ae373237811411f14212bceb97cda8ddcf36 | [
"MIT"
] | null | null | null | import numpy as np
https://github.com/cknd/pyESNimport torch
import torch.nnT
from torch.distributions import normal
from torch.distributions import uniform
import matplotlib.pyplot as plt
'''
Naive reservoir model with 'n' neurons, 'p' fractional
connectivity, initial weight distribution from Normal(0, sig).
'''
cla... | 28.170103 | 96 | 0.524245 |
6a62bf97d00887873913a55dda9e27c9617fdb7f | 168 | py | Python | lab_7/main_15.py | MrLuckUA/python_course | 50a87bc54550aedaac3afcce5b8b5c132fb6ec98 | [
"MIT"
] | null | null | null | lab_7/main_15.py | MrLuckUA/python_course | 50a87bc54550aedaac3afcce5b8b5c132fb6ec98 | [
"MIT"
] | null | null | null | lab_7/main_15.py | MrLuckUA/python_course | 50a87bc54550aedaac3afcce5b8b5c132fb6ec98 | [
"MIT"
] | null | null | null | import random
letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
numbers = "01234567890"
symbols = "!@#$%^&*()?"
pass_len = 8
password = random.sample()
| 21 | 64 | 0.744048 |
de1a8f0819c606e5b95f2adcc31c342eadfd1fc8 | 73,939 | py | Python | fbgemm_gpu/fbgemm_gpu/split_table_batched_embeddings_ops.py | RenfeiChen-FB/FBGEMM | 96e7cd84463db486f3945d50f399ac578d7443e1 | [
"BSD-3-Clause"
] | null | null | null | fbgemm_gpu/fbgemm_gpu/split_table_batched_embeddings_ops.py | RenfeiChen-FB/FBGEMM | 96e7cd84463db486f3945d50f399ac578d7443e1 | [
"BSD-3-Clause"
] | null | null | null | fbgemm_gpu/fbgemm_gpu/split_table_batched_embeddings_ops.py | RenfeiChen-FB/FBGEMM | 96e7cd84463db486f3945d50f399ac578d7443e1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# pyre-ignore-all-errors[56]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import enum
import logging
from dataclasses import dataclass
... | 37.589731 | 259 | 0.580925 |
9e1c35c7cd801823750aeb8595b547fb6d823174 | 4,404 | py | Python | AdelaiDet/adet/modeling/blendmask/basis_module.py | km1562/AdelaiDet2 | 293cd6410631d36145f9ae4eb06a63520c66b92d | [
"Apache-2.0"
] | null | null | null | AdelaiDet/adet/modeling/blendmask/basis_module.py | km1562/AdelaiDet2 | 293cd6410631d36145f9ae4eb06a63520c66b92d | [
"Apache-2.0"
] | null | null | null | AdelaiDet/adet/modeling/blendmask/basis_module.py | km1562/AdelaiDet2 | 293cd6410631d36145f9ae4eb06a63520c66b92d | [
"Apache-2.0"
] | null | null | null | from typing import Dict
from torch import nn
from torch.nn import functional as F
from detectron2.utils.registry import Registry
from detectron2.layers import ShapeSpec
from adet.layers import conv_with_kaiming_uniform
BASIS_MODULE_REGISTRY = Registry("BASIS_MODULE")
BASIS_MODULE_REGISTRY.__doc__ = """
Registry for... | 41.942857 | 92 | 0.570618 |
6eb99c36725beb0bd21d85f5afa25b1f50af0ab5 | 2,582 | py | Python | examples/ensemble/tree_embedding.py | synapticarbors/sk-dist | e5729e62fbdb7b8513be1c4fd0d463d8aec5b837 | [
"Apache-2.0"
] | 292 | 2019-08-29T20:31:05.000Z | 2022-03-25T23:14:48.000Z | examples/ensemble/tree_embedding.py | synapticarbors/sk-dist | e5729e62fbdb7b8513be1c4fd0d463d8aec5b837 | [
"Apache-2.0"
] | 20 | 2019-09-05T08:39:05.000Z | 2021-07-18T23:35:14.000Z | examples/ensemble/tree_embedding.py | synapticarbors/sk-dist | e5729e62fbdb7b8513be1c4fd0d463d8aec5b837 | [
"Apache-2.0"
] | 61 | 2019-09-02T21:40:03.000Z | 2022-02-17T18:10:29.000Z | """
===============================================================
Encode circles data with tree embedding and compare classifiers
===============================================================
Here we look at an example modelled of of scikit-learn's hashing
feature transformation example:
https://scikit-learn.org/s... | 33.973684 | 88 | 0.730442 |
d4681dd2eec9abdac25889a83dff2ea68cf89fc5 | 2,655 | py | Python | qiskit/providers/baseprovider.py | Roshan-Thomas/qiskit-terra | 77219b5c7b7146b1545c5e5190739b36f4064b2f | [
"Apache-2.0"
] | 1,599 | 2018-07-10T10:59:12.000Z | 2022-03-31T23:56:25.000Z | qiskit/providers/baseprovider.py | Roshan-Thomas/qiskit-terra | 77219b5c7b7146b1545c5e5190739b36f4064b2f | [
"Apache-2.0"
] | 5,244 | 2018-07-10T06:20:13.000Z | 2022-03-31T22:18:48.000Z | qiskit/providers/baseprovider.py | Roshan-Thomas/qiskit-terra | 77219b5c7b7146b1545c5e5190739b36f4064b2f | [
"Apache-2.0"
] | 1,409 | 2018-07-10T02:16:12.000Z | 2022-03-31T09:01:32.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 33.607595 | 90 | 0.644444 |
7848e0fbf17d1f2ea4a1a8d11b058af7fa2cd9d0 | 1,944 | py | Python | tests/run/test_global_permission.py | dramich/rio | a9a39e498df52258096f4aeb265d0d5606ee4617 | [
"Apache-2.0"
] | 2 | 2019-10-14T18:47:23.000Z | 2019-10-26T18:54:56.000Z | tests/run/test_global_permission.py | jjasghar/rio | b686eddc3a639b5920cf186f9cb887871d632140 | [
"Apache-2.0"
] | null | null | null | tests/run/test_global_permission.py | jjasghar/rio | b686eddc3a639b5920cf186f9cb887871d632140 | [
"Apache-2.0"
] | null | null | null | from random import randint
import util
def rio_permission_setup(stack, *rpermission):
name = "tsrv" + str(randint(1000, 5000))
fullName = "%s/%s" % (stack, name)
cmd = (f'rio run -n {fullName}')
for p in rpermission:
cmd += " --global-permission " + p
cmd += " nginx"
util.runwait(cm... | 24 | 72 | 0.624486 |
5c94343b53ab2a00411bacd98965e2e5b71e1d5d | 1,253 | py | Python | Python/python-practice/visible_date/highs_lows.py | jiaoqiyuan/Tests | a3595b0e4b430d910f90e428d6b6b4465f67a059 | [
"Apache-2.0"
] | null | null | null | Python/python-practice/visible_date/highs_lows.py | jiaoqiyuan/Tests | a3595b0e4b430d910f90e428d6b6b4465f67a059 | [
"Apache-2.0"
] | null | null | null | Python/python-practice/visible_date/highs_lows.py | jiaoqiyuan/Tests | a3595b0e4b430d910f90e428d6b6b4465f67a059 | [
"Apache-2.0"
] | null | null | null | import csv
from datetime import datetime
from matplotlib import pyplot as plt
# Get dates, high, and low temperatures from file.
filename = 'death_valley_2014.csv'
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
# print(header_row)
# for index, column_header in enumerate(heade... | 28.477273 | 66 | 0.640862 |
ea3e699a49973d70e9955f218df90476d137a7c2 | 229 | py | Python | exercices/questao23.py | LBarros77/Python | 283b383d9d14c8d7b907b80f03f7cdc5dbd1e8af | [
"MIT"
] | null | null | null | exercices/questao23.py | LBarros77/Python | 283b383d9d14c8d7b907b80f03f7cdc5dbd1e8af | [
"MIT"
] | null | null | null | exercices/questao23.py | LBarros77/Python | 283b383d9d14c8d7b907b80f03f7cdc5dbd1e8af | [
"MIT"
] | null | null | null | from sys import path
with open(path[0] + "/lista-de-compras.txt", "r") as f:
informations = f.readlines()
lst = [i[:-1].split(":") for i in informations]
print(sum([float(ind[1]) for ind in [i[1].split(" ") for i in lst]])) | 32.714286 | 69 | 0.620087 |
c6c664bffa65a6db2b914b9fa42a6407ee3b639b | 10,291 | py | Python | heat/engine/resources/openstack/magnum/baymodel.py | grebennikov/heat1 | 6a11bd0b5984c8f880d1a24ed324620020032b5a | [
"Apache-2.0"
] | 1 | 2015-12-18T21:46:55.000Z | 2015-12-18T21:46:55.000Z | heat/engine/resources/openstack/magnum/baymodel.py | grebennikov/heat1 | 6a11bd0b5984c8f880d1a24ed324620020032b5a | [
"Apache-2.0"
] | null | null | null | heat/engine/resources/openstack/magnum/baymodel.py | grebennikov/heat1 | 6a11bd0b5984c8f880d1a24ed324620020032b5a | [
"Apache-2.0"
] | null | null | null | #
# 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, software
# ... | 39.129278 | 78 | 0.595569 |
83b8ea3d13842ca36c037e8b49ce57dcca05a1dc | 8,718 | py | Python | homeassistant/components/samsungtv/bridge.py | squirrel289/core | 6c5bcbfc3ee40927458e9188d6b79bf63933d3f9 | [
"Apache-2.0"
] | 5 | 2020-09-17T21:47:23.000Z | 2021-06-04T04:37:29.000Z | homeassistant/components/samsungtv/bridge.py | squirrel289/core | 6c5bcbfc3ee40927458e9188d6b79bf63933d3f9 | [
"Apache-2.0"
] | 47 | 2020-07-23T07:13:11.000Z | 2022-03-31T06:01:46.000Z | homeassistant/components/samsungtv/bridge.py | CrossEyeORG/homeassistant | 6c5bcbfc3ee40927458e9188d6b79bf63933d3f9 | [
"Apache-2.0"
] | 1 | 2021-11-19T19:01:57.000Z | 2021-11-19T19:01:57.000Z | """samsungctl and samsungtvws bridge classes."""
from abc import ABC, abstractmethod
from samsungctl import Remote
from samsungctl.exceptions import AccessDenied, ConnectionClosed, UnhandledResponse
from samsungtvws import SamsungTVWS
from samsungtvws.exceptions import ConnectionFailure
from websocket import WebSocket... | 32.898113 | 110 | 0.560106 |
f78383cfcf49ed3f683c774e8b3a2cd30d034957 | 54 | py | Python | Medium/testimp2.py | Nahalius/PythonBasics | f59f167cb7c3edf962cb381ee7d66394da500a11 | [
"MIT"
] | null | null | null | Medium/testimp2.py | Nahalius/PythonBasics | f59f167cb7c3edf962cb381ee7d66394da500a11 | [
"MIT"
] | null | null | null | Medium/testimp2.py | Nahalius/PythonBasics | f59f167cb7c3edf962cb381ee7d66394da500a11 | [
"MIT"
] | null | null | null | import lib.inportfunc
print(lib.inportfunc.cube(31))
| 13.5 | 30 | 0.796296 |
1cd6050bf2dd11e2eaeefbc3187e007d3c3e8f98 | 17,025 | py | Python | pyramid/tests/test_config/test_predicates.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | pyramid/tests/test_config/test_predicates.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | pyramid/tests/test_config/test_predicates.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | import unittest
from pyramid import testing
from pyramid.compat import text_
class TestXHRPredicate(unittest.TestCase):
def _makeOne(self, val):
from pyramid.config.predicates import XHRPredicate
return XHRPredicate(val, None)
def test___call___true(self):
inst = self._makeOne(Tr... | 33.058252 | 80 | 0.610162 |
a77ce546fbe33b5bb39d46e7fd0198ef2ded1d6f | 9,559 | py | Python | toontown/coghq/DistributedMaze.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 99 | 2019-11-02T22:25:00.000Z | 2022-02-03T03:48:00.000Z | toontown/coghq/DistributedMaze.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 42 | 2019-11-03T05:31:08.000Z | 2022-03-16T22:50:32.000Z | toontown/coghq/DistributedMaze.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 57 | 2019-11-03T07:47:37.000Z | 2022-03-22T00:41:49.000Z | from otp.level.BasicEntities import DistributedNodePathEntity
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from toontown.toonbase.ToontownGlobals import *
import random
from direct.directnotify import DirectNotifyGlobal
from direct.distributed.ClockDelta import globalClockDelta
from . ... | 40.504237 | 227 | 0.662726 |
93adc288c228687845d5bd9e2d214c966d41e0c6 | 3,934 | py | Python | BatchDatsetReader.py | sunyunan1999/FCN | 3e4ea6eef5d26e3540c6ab273725eeb5b9aad20f | [
"MIT"
] | null | null | null | BatchDatsetReader.py | sunyunan1999/FCN | 3e4ea6eef5d26e3540c6ab273725eeb5b9aad20f | [
"MIT"
] | null | null | null | BatchDatsetReader.py | sunyunan1999/FCN | 3e4ea6eef5d26e3540c6ab273725eeb5b9aad20f | [
"MIT"
] | null | null | null | # coding=utf-8
import numpy as np
import scipy.misc as misc
from PIL import Image
# 批量读取数据集的类
class BatchDatset:
files = []
images = []
annotations = []
image_options = {}
batch_offset = 0
epochs_completed = 0
def __init__(self, records_list, image_options={}):
"""
Intia... | 38.950495 | 115 | 0.629385 |
712254dfa37e97be5c4bc4ba488d782627ce9348 | 9,013 | py | Python | QWeb/internal/decorators.py | sthagen/qentinelqi-qweb | e372729514e124a36cd41ee1ec0cff091e11ff8d | [
"Apache-2.0"
] | 1 | 2021-11-08T09:26:44.000Z | 2021-11-08T09:26:44.000Z | QWeb/internal/decorators.py | sthagen/qentinelqi-qweb | e372729514e124a36cd41ee1ec0cff091e11ff8d | [
"Apache-2.0"
] | null | null | null | QWeb/internal/decorators.py | sthagen/qentinelqi-qweb | e372729514e124a36cd41ee1ec0cff091e11ff8d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# --------------------------
# Copyright © 2014 - Qentinel Group.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 45.291457 | 100 | 0.594031 |
589bd2e552ec936b88b07f61553459fc8092795a | 5,080 | py | Python | src/app/aws/sqs.py | glucn/tofino | 64c603b2356f22eecbf8fd592f3656a613646c53 | [
"MIT"
] | 1 | 2021-01-04T10:07:41.000Z | 2021-01-04T10:07:41.000Z | src/app/aws/sqs.py | glucn/tofino | 64c603b2356f22eecbf8fd592f3656a613646c53 | [
"MIT"
] | 231 | 2020-11-05T06:37:11.000Z | 2022-03-28T03:02:49.000Z | src/app/aws/sqs.py | glucn/tofino | 64c603b2356f22eecbf8fd592f3656a613646c53 | [
"MIT"
] | null | null | null | import hashlib
import logging
from typing import List
import boto3
from botocore.exceptions import ClientError
import config
class Message:
"""
SQS Message
"""
message_id: str
receipt_handle: str
body: str
_representation: str
def __init__(self, **kwargs):
if 'ReceiptHandle... | 32.564103 | 115 | 0.600591 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.