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79625c2ee696f79411c9cf6e8dce3a994d8052f6 | 1,069 | py | Python | packages/mcni/python/mcni/neutron_coordinates_transformers/transformer_generator.py | mcvine/mcvine | 42232534b0c6af729628009bed165cd7d833789d | [
"BSD-3-Clause"
] | 5 | 2017-01-16T03:59:47.000Z | 2020-06-23T02:54:19.000Z | packages/mcni/python/mcni/neutron_coordinates_transformers/transformer_generator.py | mcvine/mcvine | 42232534b0c6af729628009bed165cd7d833789d | [
"BSD-3-Clause"
] | 293 | 2015-10-29T17:45:52.000Z | 2022-01-07T16:31:09.000Z | packages/mcni/python/mcni/neutron_coordinates_transformers/transformer_generator.py | mcvine/mcvine | 42232534b0c6af729628009bed165cd7d833789d | [
"BSD-3-Clause"
] | 1 | 2019-05-25T00:53:31.000Z | 2019-05-25T00:53:31.000Z | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Jiao Lin
# California Institute of Technology
# (C) 2005-2010 All Rights Reserved
#
# <LicenseText>
#
# ~~~~~~~~~~~~~~~~~~... | 24.295455 | 100 | 0.571562 |
79625c6080b053380153cdf47d8805064d495444 | 3,753 | py | Python | tetra/fermi.py | tflovorn/tetra | c5a1e1938f8720c9023b45a7a001220a3e06fa1d | [
"MIT"
] | 10 | 2018-03-30T19:56:45.000Z | 2021-12-29T13:53:26.000Z | tetra/fermi.py | tflovorn/tetra | c5a1e1938f8720c9023b45a7a001220a3e06fa1d | [
"MIT"
] | null | null | null | tetra/fermi.py | tflovorn/tetra | c5a1e1938f8720c9023b45a7a001220a3e06fa1d | [
"MIT"
] | 2 | 2018-03-30T19:57:08.000Z | 2022-01-26T22:31:35.000Z | from scipy.optimize import bisect
from tetra.numstates import NumStates
from tetra.ksample import OptimizeGs, MakeEks
from tetra.submesh import MakeSubmesh, MakeTetra
def FindFermiToTol(n0, Efn, R, num_electrons, tol=None, tetras0=None, Eks0=None):
'''Returns the Fermi energy E_F, at which the integrated number of... | 36.436893 | 81 | 0.654676 |
79625c8b40d50701e21288f1870dab9151b46636 | 5,682 | py | Python | lesion_metrics/cli/per_lesion.py | jcreinhold/lesion-metrics | 88eb1295422af97fc86f4bad66c34838f412849b | [
"Apache-2.0"
] | 1 | 2022-01-15T15:47:03.000Z | 2022-01-15T15:47:03.000Z | lesion_metrics/cli/per_lesion.py | jcreinhold/lesion-metrics | 88eb1295422af97fc86f4bad66c34838f412849b | [
"Apache-2.0"
] | 5 | 2021-12-09T14:54:33.000Z | 2022-02-10T01:54:37.000Z | lesion_metrics/cli/per_lesion.py | jcreinhold/lesion-metrics | 88eb1295422af97fc86f4bad66c34838f412849b | [
"Apache-2.0"
] | null | null | null | """Console script for lesion_metrics on per-lesion basis."""
import argparse
import builtins
import sys
import typing
import warnings
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.filterwarnings("ignore", category=UserWarning)
import medio.image as mioi
... | 35.5125 | 88 | 0.642731 |
79625ccb53676e88eba5f50b6eb6d867a1eba479 | 503 | py | Python | source/csv_writer.py | regnekraft/bloodbowl2_coachstats | 0c729337659ad0839400822e01fb94224d6f58b8 | [
"MIT"
] | null | null | null | source/csv_writer.py | regnekraft/bloodbowl2_coachstats | 0c729337659ad0839400822e01fb94224d6f58b8 | [
"MIT"
] | null | null | null | source/csv_writer.py | regnekraft/bloodbowl2_coachstats | 0c729337659ad0839400822e01fb94224d6f58b8 | [
"MIT"
] | null | null | null | import csv
class Csv_writer:
def create_csv(self, csv_file_path, csv_filename, header_row_list, list_with_rows):
with open(csv_file_path + csv_filename, 'w', newline='', encoding='iso-8859-1') as file:
writer = csv.writer(file, delimiter=";")
#writer.writerow(['uuid', 'fullname'])
... | 38.692308 | 96 | 0.624254 |
79625cf35a23ab0844957c05ffbd7f6b40b0ca99 | 19,486 | py | Python | stable_baselines3/ppo/policies.py | rolandgvc/stable-baselines3 | 805a87ed8b340c6a1a2e674468d5769a8cda38b0 | [
"MIT"
] | null | null | null | stable_baselines3/ppo/policies.py | rolandgvc/stable-baselines3 | 805a87ed8b340c6a1a2e674468d5769a8cda38b0 | [
"MIT"
] | null | null | null | stable_baselines3/ppo/policies.py | rolandgvc/stable-baselines3 | 805a87ed8b340c6a1a2e674468d5769a8cda38b0 | [
"MIT"
] | null | null | null | from typing import Optional, List, Tuple, Callable, Union, Dict, Type, Any
from functools import partial
import gym
import torch as th
import torch.nn as nn
import numpy as np
from stable_baselines3.common.policies import (BasePolicy, register_policy, MlpExtractor,
creat... | 51.824468 | 115 | 0.618803 |
79625cffe63def34c069d1c998773770cb026965 | 2,184 | py | Python | tests/unit_tests/dataframe_test.py | 7vikpeculiar/superset | 800ced5e257d5d83d6dbe4ced0e7318ac40d026f | [
"Apache-2.0"
] | 1 | 2022-02-10T11:30:05.000Z | 2022-02-10T11:30:05.000Z | tests/unit_tests/dataframe_test.py | 7vikpeculiar/superset | 800ced5e257d5d83d6dbe4ced0e7318ac40d026f | [
"Apache-2.0"
] | 10 | 2022-01-05T01:31:07.000Z | 2022-03-16T01:09:46.000Z | tests/unit_tests/dataframe_test.py | 7vikpeculiar/superset | 800ced5e257d5d83d6dbe4ced0e7318ac40d026f | [
"Apache-2.0"
] | 1 | 2022-03-31T20:11:08.000Z | 2022-03-31T20:11:08.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 39 | 87 | 0.67674 |
79625dc24928ee61589e243e3ff80d0fd7b12925 | 1,000 | py | Python | Python/Airflow/DAG_schedule.py | James-McNeill/Learning | 3c4fe1a64240cdf5614db66082bd68a2f16d2afb | [
"MIT"
] | null | null | null | Python/Airflow/DAG_schedule.py | James-McNeill/Learning | 3c4fe1a64240cdf5614db66082bd68a2f16d2afb | [
"MIT"
] | null | null | null | Python/Airflow/DAG_schedule.py | James-McNeill/Learning | 3c4fe1a64240cdf5614db66082bd68a2f16d2afb | [
"MIT"
] | null | null | null | from datetime import datetime
from airflow import DAG
# Specifying a task to take place each Monday at 7am
reporting_dag = DAG(
dag_id="publish_EMEA_sales_report",
# Insert the cron expression
schedule_interval="0 7 * * 1",
start_date=datetime(2019, 11, 24),
default_args={"owner": "sales"}
)
# Sp... | 37.037037 | 101 | 0.798 |
79625e696b8b3f65b794d58f63ecc989abb3b328 | 4,899 | py | Python | uedinst/merlin.py | LaurentRDC/uedinst | b6ab38c32e1889209a95be60fd7177b3f9e9200e | [
"BSD-3-Clause"
] | null | null | null | uedinst/merlin.py | LaurentRDC/uedinst | b6ab38c32e1889209a95be60fd7177b3f9e9200e | [
"BSD-3-Clause"
] | 1 | 2022-03-02T20:51:32.000Z | 2022-03-02T20:51:32.000Z | uedinst/merlin.py | LaurentRDC/uedinst | b6ab38c32e1889209a95be60fd7177b3f9e9200e | [
"BSD-3-Clause"
] | 2 | 2019-11-05T20:30:10.000Z | 2022-03-02T20:44:41.000Z | from contextlib import AbstractContextManager
from enum import IntEnum
from os.path import abspath, join
from time import sleep
from .merlin_drivers import MERLIN_connection
class Merlin(AbstractContextManager):
"""
Wrapper around the MERLIN_connection API.
This API can be used as a context manager:
... | 28.988166 | 78 | 0.589508 |
79625e9138335b07e59c41461717d10c0d8145a3 | 4,230 | py | Python | roll.py | AlvaroRuizDelgado/Fading_Suns_dice_roller | 220f8974ec32d10f30698dbcd315f49d95fe9dc4 | [
"MIT"
] | null | null | null | roll.py | AlvaroRuizDelgado/Fading_Suns_dice_roller | 220f8974ec32d10f30698dbcd315f49d95fe9dc4 | [
"MIT"
] | 1 | 2019-05-07T09:32:34.000Z | 2019-05-07T09:33:17.000Z | roll.py | AlvaroRuizDelgado/Fading_Suns_dice_roller | 220f8974ec32d10f30698dbcd315f49d95fe9dc4 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3
# Last edited: 19/05/07
import sys
import math
from random import randint
# Constants
CRITICAL_FAIL = 20
ALWAYS_FAIL = 19
def roll(argv):
if (len(argv) == 0 or "--help" in argv or "-h" in argv):
print_help()
sys.exit(0)
# Roll characteristics
die_range = 20
d... | 34.112903 | 165 | 0.545154 |
796260141053b95f1c55d3d8efdcf54d4dfd2a91 | 137 | py | Python | rpi_hardware/util/__init__.py | sacherjj/rpi-hardware | b63ab86e9fcf008dd41ce1eca24d93a076a8cb7b | [
"MIT"
] | 6 | 2018-12-03T14:31:50.000Z | 2021-03-08T18:48:56.000Z | rpi_hardware/util/__init__.py | sacherjj/rpi-hardware | b63ab86e9fcf008dd41ce1eca24d93a076a8cb7b | [
"MIT"
] | 1 | 2018-10-25T12:52:04.000Z | 2018-10-25T13:52:49.000Z | rpi_hardware/util/__init__.py | sacherjj/rpi-hardware | b63ab86e9fcf008dd41ce1eca24d93a076a8cb7b | [
"MIT"
] | null | null | null | from .singleton import Singleton
from .crc import crc8_check, crc8_value
from .decorators import simple_decorator, cached_with_immediate
| 34.25 | 63 | 0.861314 |
7962608fda7255b1ced8c4e8525701f53f5f0d99 | 5,638 | py | Python | blender/arm/lib/armpack.py | onelsonic/armory | 55cfead0844923d419d75bf4bd677ebed714b4b5 | [
"Zlib"
] | 2,583 | 2016-07-27T08:25:47.000Z | 2022-03-31T10:42:17.000Z | blender/arm/lib/armpack.py | N8n5h/armory | 5b4d24f067a2354bafd3ab417bb8e30ee0c5aff8 | [
"Zlib"
] | 2,122 | 2016-07-31T14:20:04.000Z | 2022-03-31T20:44:14.000Z | blender/arm/lib/armpack.py | N8n5h/armory | 5b4d24f067a2354bafd3ab417bb8e30ee0c5aff8 | [
"Zlib"
] | 451 | 2016-08-12T05:52:58.000Z | 2022-03-31T01:33:07.000Z | # Msgpack parser with typed arrays
# Based on u-msgpack-python v2.4.1 - v at sergeev.io
# https://github.com/vsergeev/u-msgpack-python
#
# 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 withou... | 33.963855 | 88 | 0.571834 |
7962611c1de6ac928e27dd78d975f3a303bc6441 | 562 | py | Python | Tools/demo/beer.py | hbbtstar/cpython | ce6ab1eb7483f66347188305bbbb7e3388794ad8 | [
"PSF-2.0"
] | null | null | null | Tools/demo/beer.py | hbbtstar/cpython | ce6ab1eb7483f66347188305bbbb7e3388794ad8 | [
"PSF-2.0"
] | null | null | null | Tools/demo/beer.py | hbbtstar/cpython | ce6ab1eb7483f66347188305bbbb7e3388794ad8 | [
"PSF-2.0"
] | null | null | null | #!/usr/bin/env python3
"""
A Python version of the classic "bottles of beer on the wall" programming
example.
By Guido van Rossum, demystified after a version by Fredrik Lundh.
"""
import sys
n = 100
if sys.argv[1:]:
n = int(sys.argv[1])
def bottle(n):
if n == 0: return "no more bottles of beer"
if n =... | 21.615385 | 73 | 0.631673 |
796261e3bdcd3e62033265d0a1a9d82735db57b2 | 3,109 | py | Python | basicts/options/AGCRN/AGCRN_PEMS04.py | zezhishao/BasicTS | 584ca6f8215a6fc9976789b600996934ba2d499e | [
"Apache-2.0"
] | 3 | 2022-02-22T12:50:08.000Z | 2022-03-13T03:38:46.000Z | basicts/options/AGCRN/AGCRN_PEMS04.py | zezhishao/BasicTS | 584ca6f8215a6fc9976789b600996934ba2d499e | [
"Apache-2.0"
] | null | null | null | basicts/options/AGCRN/AGCRN_PEMS04.py | zezhishao/BasicTS | 584ca6f8215a6fc9976789b600996934ba2d499e | [
"Apache-2.0"
] | null | null | null | import os
from easydict import EasyDict
# architecture
from basicts.archs.AGCRN_arch import AGCRN
# runner
from basicts.runners.AGCRN_runner import AGCRNRunner
from basicts.data.base_dataset import BaseDataset
from basicts.metrics.mae import masked_mae
from basicts.metrics.mape import masked_mape
from basicts.metrics.... | 27.513274 | 72 | 0.625281 |
796262032ed90045919fdf726195d6002524e691 | 570 | py | Python | lectures/06-python-strings-lists-tuples/examples/dna2.py | donaldscoon/biosys-analytics | 8d4593277bd701c77ff5c2d5eb3aee7c67ab33a4 | [
"MIT"
] | 1 | 2019-01-15T16:30:25.000Z | 2019-01-15T16:30:25.000Z | lectures/06-python-strings-lists-tuples/examples/dna2.py | donaldscoon/biosys-analytics | 8d4593277bd701c77ff5c2d5eb3aee7c67ab33a4 | [
"MIT"
] | null | null | null | lectures/06-python-strings-lists-tuples/examples/dna2.py | donaldscoon/biosys-analytics | 8d4593277bd701c77ff5c2d5eb3aee7c67ab33a4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Tetra-nucleotide counter"""
import sys
import os
args = sys.argv[1:]
if len(args) != 1:
print('Usage: {} DNA'.format(os.path.basename(sys.argv[0])))
sys.exit(1)
dna = args[0]
count_a, count_c, count_g, count_t = 0, 0, 0, 0
for letter in dna.lower():
if letter... | 20.357143 | 74 | 0.540351 |
79626212970be10fd57b86a4a13760d00f1244d3 | 1,494 | py | Python | main.py | VictorKoenders/icesugar_template | fa279b81b9e1b75a840bae9ec798ea356a5c8fa3 | [
"BSD-2-Clause"
] | 1 | 2020-12-30T11:45:41.000Z | 2020-12-30T11:45:41.000Z | main.py | VictorKoenders/icesugar_template | fa279b81b9e1b75a840bae9ec798ea356a5c8fa3 | [
"BSD-2-Clause"
] | null | null | null | main.py | VictorKoenders/icesugar_template | fa279b81b9e1b75a840bae9ec798ea356a5c8fa3 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python3
from nmigen import *
from nmigen_boards.icesugar import ICESugarPlatform
import shutil
import os
from blink import Blink
class Top(Elaboratable):
def elaborate(self, platform):
# Get the 3 LEDs
led_r = platform.request('led_r')
led_g = platform.request('led_g')
... | 26.210526 | 90 | 0.609103 |
7962645124b45b94aa18426e789f5b4b0926aca0 | 1,038 | py | Python | account/migrations/0003_auto_20170922_1544.py | natotthomer/nattr | f3f7b1bc67ff05f346e7f221d7f88b8500bd8e77 | [
"MIT"
] | 1 | 2017-11-10T19:55:12.000Z | 2017-11-10T19:55:12.000Z | account/migrations/0003_auto_20170922_1544.py | natotthomer/nattr | f3f7b1bc67ff05f346e7f221d7f88b8500bd8e77 | [
"MIT"
] | 9 | 2021-03-08T20:46:52.000Z | 2022-03-11T23:26:33.000Z | account/migrations/0003_auto_20170922_1544.py | natotthomer/nattr | f3f7b1bc67ff05f346e7f221d7f88b8500bd8e77 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-22 15:44
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('account', '0002_auto_20170... | 34.6 | 153 | 0.649326 |
7962652423fd83029856c78a73167bf796c79da6 | 465 | py | Python | binterpret/gui.py | flammified/binterpret | 647ce698397695d28191e999d765ac70184e6620 | [
"Apache-2.0"
] | null | null | null | binterpret/gui.py | flammified/binterpret | 647ce698397695d28191e999d765ac70184e6620 | [
"Apache-2.0"
] | null | null | null | binterpret/gui.py | flammified/binterpret | 647ce698397695d28191e999d765ac70184e6620 | [
"Apache-2.0"
] | null | null | null | try:
from kivy.uix.floatlayout import FloatLayout
from kivy.app import App
from kivy.properties import ObjectProperty, StringProperty
from kivy.core.window import Window
except ImportError as e:
print("Kivy is not installed in your environment. --gui can not be used.")
exit(1)
class BinterpretW... | 27.352941 | 78 | 0.711828 |
796265ddae68e2d9c608853ec5c70afebb0a3c3a | 127 | py | Python | elephant/gpfa/__init__.py | rdarie/elephant | 9f327d042a54531117ddf36c732262d4e78a5d85 | [
"BSD-3-Clause"
] | null | null | null | elephant/gpfa/__init__.py | rdarie/elephant | 9f327d042a54531117ddf36c732262d4e78a5d85 | [
"BSD-3-Clause"
] | null | null | null | elephant/gpfa/__init__.py | rdarie/elephant | 9f327d042a54531117ddf36c732262d4e78a5d85 | [
"BSD-3-Clause"
] | null | null | null | try:
from .gpfa import GPFA
except ImportError:
# please run command `pip install -r requirements-extras.txt`
pass
| 21.166667 | 65 | 0.708661 |
796265f3da52a7d4a29801137fb01f30d0780fca | 1,371 | py | Python | Data Science With Python/12-introduction-to-databases-in-python/02-applying-filtering-ordering-and-grouping-to-queries/02-filter-data-selected-from-a-table-simple.py | aimanahmedmoin1997/DataCamp | c6a6c4d59b83f14854bd76ed5c0c7f2dddd6de1d | [
"MIT"
] | 3 | 2019-05-12T04:49:24.000Z | 2020-05-06T00:40:28.000Z | Data Science With Python/12-introduction-to-databases-in-python/02-applying-filtering-ordering-and-grouping-to-queries/02-filter-data-selected-from-a-table-simple.py | aimanahmedmoin1997/DataCamp | c6a6c4d59b83f14854bd76ed5c0c7f2dddd6de1d | [
"MIT"
] | null | null | null | Data Science With Python/12-introduction-to-databases-in-python/02-applying-filtering-ordering-and-grouping-to-queries/02-filter-data-selected-from-a-table-simple.py | aimanahmedmoin1997/DataCamp | c6a6c4d59b83f14854bd76ed5c0c7f2dddd6de1d | [
"MIT"
] | 7 | 2018-11-06T17:43:31.000Z | 2020-11-07T21:08:16.000Z | '''
Filter data selected from a Table - Simple
Having connected to the database, it's now time to practice filtering your queries!
As mentioned in the video, a where() clause is used to filter the data that a statement returns. For example, to select all the records from the census table where the sex is Female (or '... | 44.225806 | 217 | 0.753465 |
79626693122b0653110ebcfbf29c909dc9125922 | 23,269 | py | Python | env/lib/python3.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py | MarcoMancha/BreastCancerDetector | be0dfdcebd1ae66da6d0cf48e2525c24942ae877 | [
"Apache-2.0"
] | 366 | 2019-04-07T20:34:48.000Z | 2022-03-29T07:35:38.000Z | env/lib/python3.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py | MarcoMancha/BreastCancerDetector | be0dfdcebd1ae66da6d0cf48e2525c24942ae877 | [
"Apache-2.0"
] | 26 | 2020-03-24T18:07:06.000Z | 2022-03-12T00:12:27.000Z | env/lib/python3.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py | MarcoMancha/BreastCancerDetector | be0dfdcebd1ae66da6d0cf48e2525c24942ae877 | [
"Apache-2.0"
] | 61 | 2019-04-08T00:58:14.000Z | 2022-03-20T23:04:28.000Z | """
Locally Optimal Block Preconditioned Conjugate Gradient Method (LOBPCG).
References
----------
.. [1] A. V. Knyazev (2001),
Toward the Optimal Preconditioned Eigensolver: Locally Optimal
Block Preconditioned Conjugate Gradient Method.
SIAM Journal on Scientific Computing 23, no. 2,
pp. ... | 35.68865 | 79 | 0.601788 |
796267872f9ac8ce9de4326e429b2b4fedd0ea6d | 16,251 | py | Python | submodules/utils/annolist/AnnoList_pb2.py | parthc-rob/KittiBox | 86d7ac6d8053bb41f43840e24100adc56621f3ec | [
"MIT"
] | 562 | 2016-06-26T06:27:10.000Z | 2022-02-20T15:12:46.000Z | submodules/utils/annolist/AnnoList_pb2.py | parthc-rob/KittiBox | 86d7ac6d8053bb41f43840e24100adc56621f3ec | [
"MIT"
] | 58 | 2017-02-03T01:03:19.000Z | 2021-07-01T12:12:54.000Z | submodules/utils/annolist/AnnoList_pb2.py | parthc-rob/KittiBox | 86d7ac6d8053bb41f43840e24100adc56621f3ec | [
"MIT"
] | 229 | 2016-07-22T05:34:40.000Z | 2021-10-20T08:39:15.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: AnnoList.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refl... | 37.272936 | 1,341 | 0.734293 |
796269c85bf49b1284f40b55d71e066ec0c5801b | 121,369 | py | Python | tests/scripts/thread-cert/test_lowpan.py | jjlee3/openthread | abba21bca6e1b07ca76b0241dfaf045e57396818 | [
"BSD-3-Clause"
] | 3 | 2018-06-20T11:13:33.000Z | 2020-12-08T15:15:10.000Z | tests/scripts/thread-cert/test_lowpan.py | jjlee3/openthread | abba21bca6e1b07ca76b0241dfaf045e57396818 | [
"BSD-3-Clause"
] | null | null | null | tests/scripts/thread-cert/test_lowpan.py | jjlee3/openthread | abba21bca6e1b07ca76b0241dfaf045e57396818 | [
"BSD-3-Clause"
] | 3 | 2017-08-29T01:31:57.000Z | 2020-05-07T22:56:52.000Z | #!/usr/bin/python
#
# Copyright (c) 2016, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# not... | 45.034879 | 156 | 0.581928 |
796269ede409d09eab69f4507df0001bcc234b4c | 4,251 | py | Python | Lib/lib-tk/test/test_tkinter/test_misc.py | karkranikhil/python | a96b80dfda19ed4cdcc35b087fb8474757e34a93 | [
"bzip2-1.0.6"
] | 6,989 | 2017-07-18T06:23:18.000Z | 2022-03-31T15:58:36.000Z | SLpackage/private/thirdparty/python/python_2.7.16/lib/python2.7/lib-tk/test/test_tkinter/test_misc.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | 1,978 | 2017-07-18T09:17:58.000Z | 2022-03-31T14:28:43.000Z | SLpackage/private/thirdparty/python/python_2.7.16/lib/python2.7/lib-tk/test/test_tkinter/test_misc.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | 1,228 | 2017-07-18T09:03:13.000Z | 2022-03-29T05:57:40.000Z | import unittest
import Tkinter as tkinter
from test.test_support import requires, run_unittest
from test_ttk.support import AbstractTkTest
requires('gui')
class MiscTest(AbstractTkTest, unittest.TestCase):
def test_after(self):
root = self.root
cbcount = {'count': 0}
def callback(start=0... | 34.560976 | 78 | 0.602682 |
79626c9198958ae72f3eead25c985e00527fe97a | 6,638 | py | Python | scrooge/stores/tests/test_models.py | SpisTresci/scrooge | 787b7d5f8ece8f3f24feb4273505e6c0ea60b5d7 | [
"MIT"
] | 1 | 2021-01-04T04:30:24.000Z | 2021-01-04T04:30:24.000Z | scrooge/stores/tests/test_models.py | SpisTresci/scrooge | 787b7d5f8ece8f3f24feb4273505e6c0ea60b5d7 | [
"MIT"
] | 6 | 2019-12-21T03:19:17.000Z | 2020-01-07T07:28:04.000Z | scrooge/stores/tests/test_models.py | SpisTresci/scrooge | 787b7d5f8ece8f3f24feb4273505e6c0ea60b5d7 | [
"MIT"
] | null | null | null | from decimal import Decimal
from django.db.utils import IntegrityError
from test_plus.test import TestCase
from scrooge.datasource.models import XmlDataSourceModel
from scrooge.offers.models import Offer
from scrooge.stores.models import Store
class TestStore(TestCase):
def setUp(self):
data_source = Xm... | 40.723926 | 119 | 0.591443 |
79626d1e558dfd74d78c48857b609a8a6e321ca1 | 26,397 | py | Python | theano/tensor/var.py | shaibagon/Theano | b4244cfaa1c99007015bb01e859699eec3518053 | [
"BSD-3-Clause"
] | 1 | 2018-01-31T12:29:10.000Z | 2018-01-31T12:29:10.000Z | theano/tensor/var.py | AtousaTorabi/Theano_old | ba2d2f74406243112e813df31429721c791a889a | [
"BSD-3-Clause"
] | null | null | null | theano/tensor/var.py | AtousaTorabi/Theano_old | ba2d2f74406243112e813df31429721c791a889a | [
"BSD-3-Clause"
] | null | null | null | import copy
import numpy
import theano
from theano.compat import all, PY3
from theano.scalar import ComplexError, IntegerDivisionError
from theano.gof import Constant, Variable
from theano.gof.utils import hashtype
from theano.tensor.utils import hash_from_ndarray
from theano.tensor.type import TensorType
class AsT... | 36.8159 | 79 | 0.598098 |
79626d7a32085885ab565338e9ac401e978ac7c9 | 4,526 | py | Python | benchmark/startQiskit_QC1184.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_QC1184.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_QC1184.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=5
# total number=51
import cirq
import qiskit
from qiskit import IBMQ
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import FakeVigo
from ma... | 33.036496 | 165 | 0.621299 |
79626d89026a7038bb25ecbfadcce49b5bd56f03 | 43,098 | py | Python | pandas/tests/reshape/test_reshape.py | nagey/pandas | ba60321d00d686a3137ffe26f919d64e84d43aa0 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | 1 | 2021-06-28T18:35:43.000Z | 2021-06-28T18:35:43.000Z | pandas/tests/reshape/test_reshape.py | nagey/pandas | ba60321d00d686a3137ffe26f919d64e84d43aa0 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | pandas/tests/reshape/test_reshape.py | nagey/pandas | ba60321d00d686a3137ffe26f919d64e84d43aa0 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# pylint: disable-msg=W0612,E1101
import pytest
from pandas import DataFrame, Series
import pandas as pd
from numpy import nan
import numpy as np
from pandas.util.testing import assert_frame_equal
from pandas.core.reshape.reshape import (
melt, lreshape, get_dummies, wide_to_long)
impor... | 44.022472 | 79 | 0.446053 |
79626e1148f82fc9b84be10ded44d4df7fcc0d35 | 845 | py | Python | korona/templates/html/tags/button.py | bharadwajyarlagadda/korona | ee4662b6a29907495e31ed2581dc5484bb03eadc | [
"MIT"
] | 2 | 2016-10-11T03:57:30.000Z | 2018-01-19T20:13:47.000Z | korona/templates/html/tags/button.py | iskodirajga/korona | ee4662b6a29907495e31ed2581dc5484bb03eadc | [
"MIT"
] | 16 | 2016-08-19T04:08:45.000Z | 2016-09-27T03:26:39.000Z | korona/templates/html/tags/button.py | iskodirajga/korona | ee4662b6a29907495e31ed2581dc5484bb03eadc | [
"MIT"
] | 1 | 2016-10-11T03:57:33.000Z | 2016-10-11T03:57:33.000Z | # -*- coding: utf-8 -*-
"""<button> template"""
from ..environment import env
button = env.from_string("""\
<button {% if name -%} name="{{ name }}" {% endif -%}
{% if type -%} type="{{ type }}" {% endif -%}
{% if value -%} value="{{ value }}" {% endif -%}
{% if form -%} form="{{ form }}" {% e... | 42.25 | 74 | 0.48284 |
79626e848e123ba47fc3e535487693ded1f8b241 | 1,912 | py | Python | tensorflow/example2.py | linksdl/acs_project_maching-learning | 8cc034ec07432c3a79cefc2eacc8e9a77019748d | [
"Apache-2.0"
] | 1 | 2021-12-10T14:10:56.000Z | 2021-12-10T14:10:56.000Z | tensorflow/example2.py | linksdl/acs_project_maching-learning | 8cc034ec07432c3a79cefc2eacc8e9a77019748d | [
"Apache-2.0"
] | null | null | null | tensorflow/example2.py | linksdl/acs_project_maching-learning | 8cc034ec07432c3a79cefc2eacc8e9a77019748d | [
"Apache-2.0"
] | 1 | 2020-11-04T02:29:40.000Z | 2020-11-04T02:29:40.000Z | # !/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Project : acs-project-machine_learning
@File : example2.py
@Author : Billy Sheng
@Contact : shengdl999links@gmail.com
@Date : 2020/12/25 3:52 下午
@Version : 1.0.0
@License : Apache License 2.0
@Desc : None
"""
import tensorflow as tf
from tensorfl... | 21.727273 | 84 | 0.696653 |
79626ea857fde30a47184153468514f3b542b00e | 4,807 | py | Python | lib/python2.7/site-packages/openopt/kernel/baseSolver.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 5 | 2017-01-23T16:23:43.000Z | 2022-01-20T16:14:06.000Z | lib/python2.7/site-packages/openopt/kernel/baseSolver.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2015-04-24T06:46:25.000Z | 2015-04-24T06:46:25.000Z | lib/python2.7/site-packages/openopt/kernel/baseSolver.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 8 | 2016-05-30T13:35:17.000Z | 2021-06-15T22:24:29.000Z | __docformat__ = "restructuredtext en"
from numpy import asarray, copy, ravel, isnan, isscalar, asscalar#where
from nonOptMisc import where
from openopt.kernel.Point import Point
class baseSolver:
def __init__(self):pass
__name__ = 'Undefined. If you are a user and got the message, inform developers please.'
... | 41.8 | 134 | 0.593509 |
79626f344408ef50ff58d7f9af7b70367d77460c | 927 | py | Python | tests/modules/kms/test_plan.py | Kiranug/cloud-foundation-fabric | c4b2f85a3b197a6386081431d8e00d69f4b1ccfb | [
"Apache-2.0"
] | 84 | 2022-01-12T21:25:12.000Z | 2022-03-31T05:40:02.000Z | tests/modules/kms/test_plan.py | Kiranug/cloud-foundation-fabric | c4b2f85a3b197a6386081431d8e00d69f4b1ccfb | [
"Apache-2.0"
] | 77 | 2022-01-12T18:49:05.000Z | 2022-03-29T13:05:17.000Z | tests/modules/kms/test_plan.py | Kiranug/cloud-foundation-fabric | c4b2f85a3b197a6386081431d8e00d69f4b1ccfb | [
"Apache-2.0"
] | 55 | 2022-01-15T13:47:30.000Z | 2022-03-31T17:35:48.000Z | # Copyright 2022 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, ... | 35.653846 | 74 | 0.737864 |
79626f9e187fa1ed05b6b44956c912aff0b482f2 | 175 | py | Python | start-demos/lesson04/circle_area.py | Andyliwr/PythonStudyLoad | 24d78da61740e310c33c3769c93a207bf0e665c8 | [
"MIT"
] | 1 | 2018-12-11T07:59:44.000Z | 2018-12-11T07:59:44.000Z | start-demos/lesson04/circle_area.py | Andyliwr/python-learn | 24d78da61740e310c33c3769c93a207bf0e665c8 | [
"MIT"
] | null | null | null | start-demos/lesson04/circle_area.py | Andyliwr/python-learn | 24d78da61740e310c33c3769c93a207bf0e665c8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#-*-coding:utf-8*-
# 程序实现的功能：计算圆的面积
import math
rValue = float(input("请输入圆的半径："))
area = 2 * math.pi * rValue * rValue
print("圆的面积是：{:10f}".format(area)) | 25 | 36 | 0.668571 |
7962709f487e23724ab118b273ced9d379dd833c | 5,050 | py | Python | bapiw/api.py | mitchldtn/bapiw | 2ce88953a0a0e7c60efe108c2343f64109a879ff | [
"MIT"
] | null | null | null | bapiw/api.py | mitchldtn/bapiw | 2ce88953a0a0e7c60efe108c2343f64109a879ff | [
"MIT"
] | null | null | null | bapiw/api.py | mitchldtn/bapiw | 2ce88953a0a0e7c60efe108c2343f64109a879ff | [
"MIT"
] | null | null | null | import requests
import json
from datetime import datetime
# Official Binance API Docs
# https://github.com/binance-exchange/binance-official-api-docs/blob/master/rest-api.md
class API:
API_URL = 'https://api.binance.com/api'
PUBLIC_API_VERSION = 'v3'
PRIVATE_API_VERSION = 'v3'
# Intervals used when ... | 40.4 | 127 | 0.626535 |
796270bb5c15c9f7a15dafede750d2c02ad78efb | 4,921 | py | Python | mmplib.py | ff-/mailMyPy | 1c1ce33d4869a8fb5fd5ade6dac14d204d8eed47 | [
"MIT"
] | 1 | 2016-01-12T01:13:08.000Z | 2016-01-12T01:13:08.000Z | mmplib.py | ff-/mailMyPy | 1c1ce33d4869a8fb5fd5ade6dac14d204d8eed47 | [
"MIT"
] | null | null | null | mmplib.py | ff-/mailMyPy | 1c1ce33d4869a8fb5fd5ade6dac14d204d8eed47 | [
"MIT"
] | 1 | 2015-10-22T07:30:14.000Z | 2015-10-22T07:30:14.000Z | import imaplib, smtplib, email, re, sqlalchemy, hashlib, time
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from lxml import etree
###### IMAP
def imapConnect(login):
try:
mail = imaplib.IMAP4_SSL('imap.gmail.com')
mail.login(login['username'],login['password'])
pass
exc... | 30.565217 | 122 | 0.71835 |
796271427f9eabb99b067e5d7f21e961ff35b78b | 656 | py | Python | bottle_air/keras_utils.py | Apaezmx/simplifai | 07fc221268edeb5dfb83f47375acd25bf38ec605 | [
"Apache-2.0"
] | 17 | 2018-06-08T13:55:11.000Z | 2020-04-16T17:34:53.000Z | bottle_air/keras_utils.py | Apaezmx/simplifai | 07fc221268edeb5dfb83f47375acd25bf38ec605 | [
"Apache-2.0"
] | null | null | null | bottle_air/keras_utils.py | Apaezmx/simplifai | 07fc221268edeb5dfb83f47375acd25bf38ec605 | [
"Apache-2.0"
] | 2 | 2018-08-02T13:44:40.000Z | 2018-08-27T09:13:58.000Z | from keras import backend as K
from keras.engine.topology import Layer
import numpy as np
import tensorflow as tf
def activate(activation, tensor):
""" Maps a string activation to the keras backend function """
if activation == 'tanh':
return K.tanh(tensor)
elif activation == 'sigmoid':
return K.sigmoid(... | 27.333333 | 84 | 0.699695 |
7962716882a2219a6a14e9edd8251a00d19a0a7c | 45,523 | py | Python | group/utils/transforms.py | xueyee/GroupFormer | 577234f8ad8425af2cd343c8859f8119e29f715c | [
"Apache-2.0"
] | 31 | 2021-08-31T12:37:40.000Z | 2022-03-28T07:30:52.000Z | group/utils/transforms.py | xueyee/GroupFormer | 577234f8ad8425af2cd343c8859f8119e29f715c | [
"Apache-2.0"
] | 6 | 2021-08-31T12:38:22.000Z | 2022-03-26T08:58:03.000Z | group/utils/transforms.py | xueyee/GroupFormer | 577234f8ad8425af2cd343c8859f8119e29f715c | [
"Apache-2.0"
] | 2 | 2022-03-14T04:02:46.000Z | 2022-03-22T05:24:50.000Z | from __future__ import division
import torch
import math
import sys
import random
from PIL import Image
try:
import accimage
except ImportError:
accimage = None
import numpy as np
import numbers
import types
import collections
import warnings
from . import functional as F
if sys.version_info < (3, 3):
Seq... | 37.560231 | 119 | 0.598884 |
79627378dc0c6e33bd7d6f32a3c5d0f57b60cc34 | 1,841 | py | Python | tests/test_camera.py | hefangwuwu/relaxrender | adcf3fa5dc7d38f0af8308083fadf665dd30bdb2 | [
"MIT"
] | 4 | 2018-06-08T16:42:30.000Z | 2018-06-21T19:41:58.000Z | tests/test_camera.py | hefangwuwu/relaxrender | adcf3fa5dc7d38f0af8308083fadf665dd30bdb2 | [
"MIT"
] | 70 | 2018-06-15T08:46:25.000Z | 2018-06-25T10:47:16.000Z | tests/test_camera.py | hefangwuwu/relaxrender | adcf3fa5dc7d38f0af8308083fadf665dd30bdb2 | [
"MIT"
] | 56 | 2018-06-08T11:46:05.000Z | 2018-06-25T04:15:17.000Z | import unittest
import numpy as np
import relaxrender.camera as c
import relaxrender.triangle as t
import relaxrender.points as rp
class TestCamera(unittest.TestCase):
def setUp(self):
self.pos = np.array([1.0, 1.0, 1.0])
self.up = np.array([1.0, 1.0, 0])
self.right = np.array([1.0, -1.0,... | 31.741379 | 85 | 0.56491 |
7962737a6e8f0f59182e4eb5d61963f43533058b | 48 | py | Python | django_jwt/exceptions.py | Casassarnau/django-jwt-oidc | 0c047c060ff08736b56f408432fbff9ad5799ad3 | [
"MIT"
] | 5 | 2022-02-21T10:19:19.000Z | 2022-03-29T19:05:44.000Z | django_jwt/exceptions.py | Casassarnau/django-jwt-oidc | 0c047c060ff08736b56f408432fbff9ad5799ad3 | [
"MIT"
] | null | null | null | django_jwt/exceptions.py | Casassarnau/django-jwt-oidc | 0c047c060ff08736b56f408432fbff9ad5799ad3 | [
"MIT"
] | 1 | 2022-03-27T08:39:47.000Z | 2022-03-27T08:39:47.000Z | class JWTClientException(Exception):
pass
| 16 | 37 | 0.75 |
796275de9e8bc2aa793358e943d1dd1cee643994 | 5,960 | py | Python | integration/tests/cook/test_dynamic_clusters.py | kevo1ution/Cook | 62c23a41dcc543dd0ca2173b849e41644b5437f0 | [
"Apache-2.0"
] | null | null | null | integration/tests/cook/test_dynamic_clusters.py | kevo1ution/Cook | 62c23a41dcc543dd0ca2173b849e41644b5437f0 | [
"Apache-2.0"
] | null | null | null | integration/tests/cook/test_dynamic_clusters.py | kevo1ution/Cook | 62c23a41dcc543dd0ca2173b849e41644b5437f0 | [
"Apache-2.0"
] | null | null | null | import logging
import os
import subprocess
import time
import unittest
import pytest
from tests.cook import util
@pytest.mark.timeout(util.DEFAULT_TEST_TIMEOUT_SECS) # individual test timeout
class TestDynamicClusters(util.CookTest):
@classmethod
def setUpClass(cls):
cls.cook_url = util.retrieve_c... | 48.852459 | 141 | 0.623993 |
79627674588ec92a0bbde8536360c14c2367e835 | 132 | py | Python | profiles_api/admin.py | nts2pd/profiles-rest-api | 76abb1dc1001b5e3129b20a7274f74cb740cebe1 | [
"MIT"
] | null | null | null | profiles_api/admin.py | nts2pd/profiles-rest-api | 76abb1dc1001b5e3129b20a7274f74cb740cebe1 | [
"MIT"
] | 5 | 2021-03-19T11:59:23.000Z | 2022-02-10T09:42:37.000Z | profiles_api/admin.py | nts2pd/profiles-rest-api | 76abb1dc1001b5e3129b20a7274f74cb740cebe1 | [
"MIT"
] | null | null | null | from django.contrib import admin
from profiles_api import models
admin.site.register([models.UserProfile, models.ProfileFeedItem])
| 26.4 | 65 | 0.840909 |
796276e91c1b36d82cd112cf17cc03beefbc7765 | 623 | py | Python | 1stRound/Easy/374 Guess Number Higher or Lower/Binarysearch.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | 2 | 2020-04-24T18:36:52.000Z | 2020-04-25T00:15:57.000Z | 1stRound/Easy/374 Guess Number Higher or Lower/Binarysearch.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | 1stRound/Easy/374 Guess Number Higher or Lower/Binarysearch.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | # The guess API is already defined for you.
# @param num, your guess
# @return -1 if my number is lower, 1 if my number is higher, otherwise return 0
# def guess(num):
class Solution(object):
def guessNumber(self, n):
"""
:type n: int
:rtype: int
"""
left, right = 1, n #[lef... | 25.958333 | 80 | 0.4687 |
79627706ee307782359de513c4abf52976722add | 300 | py | Python | tackle/providers/tackle/tests/debug/test_provider_tackle_debug.py | geometry-labs/tackle-box | 83424a10416955ba983f0c14ec89bd79673a4282 | [
"BSD-3-Clause"
] | 1 | 2021-04-13T23:10:11.000Z | 2021-04-13T23:10:11.000Z | tackle/providers/tackle/tests/debug/test_provider_tackle_debug.py | geometry-labs/tackle-box | 83424a10416955ba983f0c14ec89bd79673a4282 | [
"BSD-3-Clause"
] | 4 | 2021-01-27T00:06:12.000Z | 2021-02-12T01:20:32.000Z | tackle/providers/tackle/tests/debug/test_provider_tackle_debug.py | geometry-labs/tackle-box | 83424a10416955ba983f0c14ec89bd79673a4282 | [
"BSD-3-Clause"
] | 1 | 2021-05-07T05:07:29.000Z | 2021-05-07T05:07:29.000Z | """Tests dict input objects for `tackle.providers.tackle.block` module."""
from tackle.main import tackle
def test_provider_system_hook_debug(change_dir):
"""Verify the hook call works properly."""
output = tackle(no_input=True)
assert output['t'] is None
assert 'g' not in output
| 27.272727 | 74 | 0.723333 |
796278173e202d203cffaff4f4be62e06ea0c649 | 65 | py | Python | modules/shared/domain/email/__init__.py | eduardolujan/hexagonal_architecture_django | 8055927cb460bc40f3a2651c01a9d1da696177e8 | [
"BSD-3-Clause"
] | 6 | 2020-08-09T23:41:08.000Z | 2021-03-16T22:05:40.000Z | modules/shared/domain/email/__init__.py | eduardolujan/hexagonal_architecture_django | 8055927cb460bc40f3a2651c01a9d1da696177e8 | [
"BSD-3-Clause"
] | 1 | 2020-10-02T02:59:38.000Z | 2020-10-02T02:59:38.000Z | modules/shared/domain/email/__init__.py | eduardolujan/hexagonal_architecture_django | 8055927cb460bc40f3a2651c01a9d1da696177e8 | [
"BSD-3-Clause"
] | 2 | 2021-03-16T22:05:43.000Z | 2021-04-30T06:35:25.000Z | from .send_email import EmailSender
__all__ = ('EmailSender',)
| 13 | 35 | 0.753846 |
79627a06ebdea8e7b52eb97a549afce026fee17b | 142 | py | Python | main.py | NickVeselov/Dungeon-generator | fc1fb6f9862887381db4b5084e3aa9685232b913 | [
"MIT"
] | null | null | null | main.py | NickVeselov/Dungeon-generator | fc1fb6f9862887381db4b5084e3aa9685232b913 | [
"MIT"
] | null | null | null | main.py | NickVeselov/Dungeon-generator | fc1fb6f9862887381db4b5084e3aa9685232b913 | [
"MIT"
] | null | null | null | import dungeon_generator
if __name__ == '__main__':
dg = dungeon_generator.dungeon_generator()
dg.read_components()
dg.write_result()
| 17.75 | 44 | 0.760563 |
79627aa06b9df345e1dd8d097a0c5fbcdf0116b6 | 9,314 | py | Python | test/api/test_dataset_collections.py | tdans1/Use-Galaxy | e9f05cb1b11db20a729ac73520f886ee619c6b90 | [
"CC-BY-3.0"
] | 4 | 2018-10-29T18:34:38.000Z | 2021-09-29T23:30:42.000Z | test/api/test_dataset_collections.py | tdans1/Use-Galaxy | e9f05cb1b11db20a729ac73520f886ee619c6b90 | [
"CC-BY-3.0"
] | 1 | 2019-02-04T16:21:27.000Z | 2019-02-04T16:45:17.000Z | test/api/test_dataset_collections.py | chambm/galaxy | fd1926767996a161cd2fc8bd184e6835fd688765 | [
"CC-BY-3.0"
] | 3 | 2020-02-12T15:22:24.000Z | 2021-08-19T10:27:39.000Z | import json
import tarfile
from base import api
from base.populators import DatasetCollectionPopulator, DatasetPopulator
from six import StringIO
class DatasetCollectionApiTestCase(api.ApiTestCase):
def setUp(self):
super(DatasetCollectionApiTestCase, self).setUp()
self.dataset_populator = Datas... | 50.075269 | 153 | 0.699163 |
79627ac209f44ab9a5180963b280738b205d6a8b | 31,052 | py | Python | sahara/plugins/hdp/versions/version_1_3_2/versionhandler.py | matips/iosr-2015 | 84c0da43d4e8fed45052a1cec8dffaeda8e7683b | [
"Apache-2.0"
] | null | null | null | sahara/plugins/hdp/versions/version_1_3_2/versionhandler.py | matips/iosr-2015 | 84c0da43d4e8fed45052a1cec8dffaeda8e7683b | [
"Apache-2.0"
] | null | null | null | sahara/plugins/hdp/versions/version_1_3_2/versionhandler.py | matips/iosr-2015 | 84c0da43d4e8fed45052a1cec8dffaeda8e7683b | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 Hortonworks, 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 ... | 44.107955 | 79 | 0.577708 |
79627afee26636547ab46bb8d762b3a52e4da91f | 2,162 | py | Python | pysnmp/RADLAN-SNA-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/RADLAN-SNA-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/RADLAN-SNA-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module RADLAN-SNA-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RADLAN-SNA-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:40:48 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2... | 98.272727 | 477 | 0.784459 |
79627b958934df96b0eba0c2f50fe718da6b9150 | 688 | py | Python | invenio_communities/fixtures/tasks.py | lnielsen/invenio-communities | e6e032960abd5d4062a63824d6d349a6158339af | [
"MIT"
] | 3 | 2017-10-25T00:58:24.000Z | 2021-05-02T23:42:02.000Z | invenio_communities/fixtures/tasks.py | lnielsen/invenio-communities | e6e032960abd5d4062a63824d6d349a6158339af | [
"MIT"
] | 277 | 2015-04-30T09:39:22.000Z | 2022-03-31T07:38:26.000Z | invenio_communities/fixtures/tasks.py | lnielsen/invenio-communities | e6e032960abd5d4062a63824d6d349a6158339af | [
"MIT"
] | 44 | 2015-04-22T11:34:49.000Z | 2022-03-22T09:56:33.000Z | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2016-2021 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Celery tasks for fixtures."""
from celery import shared_task
from invenio_access... | 25.481481 | 72 | 0.74564 |
79627b9bf273d6f20eed09dec297c797623cc255 | 4,773 | py | Python | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | 1 | 2021-08-13T13:46:04.000Z | 2021-08-13T13:46:04.000Z | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | null | null | null | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | 1 | 2021-09-29T18:25:48.000Z | 2021-09-29T18:25:48.000Z | import pytest
from sqlalchemy.exc import IntegrityError
from app.dao.inbound_shortnumbers_dao import (
dao_get_inbound_shortnumbers,
dao_get_inbound_shortnumber_for_service,
dao_get_available_inbound_shortnumbers,
dao_set_inbound_shortnumber_to_service,
dao_set_inbound_shortnumber_active_flag,
... | 39.775 | 125 | 0.803059 |
79627bd41d2fe889930b10ee93e56212045a0d34 | 5,632 | py | Python | scripts/load-data/common/load-us-counties.py | tistacorp/data | 4520089648b8cb529a568de69790a685f205258e | [
"Apache-2.0"
] | null | null | null | scripts/load-data/common/load-us-counties.py | tistacorp/data | 4520089648b8cb529a568de69790a685f205258e | [
"Apache-2.0"
] | null | null | null | scripts/load-data/common/load-us-counties.py | tistacorp/data | 4520089648b8cb529a568de69790a685f205258e | [
"Apache-2.0"
] | 1 | 2021-08-09T13:51:54.000Z | 2021-08-09T13:51:54.000Z | #!/usr/bin/env python3
# #############################################################################
# Helper script to generate us-counties.csv file
# * Download counties information from census.gov
# * Download geo-location from datasciencetoolkit.org
# Save result into the '../../common/us/counties.csv' file
#
# r... | 43.658915 | 124 | 0.589844 |
79627c181bde25665139dc54b4dbbe3f7841c6cd | 7,013 | py | Python | clock-in.py | Silly-Boy/ZJU-Clock-In | 72d20f5b61b177dbda472b50f0b734ef8c2c6f9d | [
"MIT"
] | 1 | 2021-09-17T12:29:16.000Z | 2021-09-17T12:29:16.000Z | clock-in.py | Silly-Boy/ZJU-Clock-In | 72d20f5b61b177dbda472b50f0b734ef8c2c6f9d | [
"MIT"
] | null | null | null | clock-in.py | Silly-Boy/ZJU-Clock-In | 72d20f5b61b177dbda472b50f0b734ef8c2c6f9d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# 打卡脚修改自ZJU-nCov-Hitcarder的开源代码，感谢这位同学开源的代码
import requests
import json
import re
import datetime
import time
import sys
import ddddocr
class ClockIn(object):
"""Hit card class
Attributes:
username: (str) 浙大统一认证平台用户名（一般为学号）
password: (str) 浙大统一认证平台密码
eai_sess:... | 32.317972 | 222 | 0.578497 |
79627d2f9de4af7a3f5427b5ee0b669f2e3de754 | 4,924 | py | Python | release/stubs.min/Autodesk/Revit/UI/Mechanical.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 182 | 2017-06-27T02:26:15.000Z | 2022-03-30T18:53:43.000Z | release/stubs.min/Autodesk/Revit/UI/Mechanical.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 28 | 2017-06-27T13:38:23.000Z | 2022-03-15T11:19:44.000Z | release/stubs.min/Autodesk/Revit/UI/Mechanical.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 67 | 2017-06-28T09:43:59.000Z | 2022-03-20T21:17:10.000Z | # encoding: utf-8
# module Autodesk.Revit.UI.Mechanical calls itself Mechanical
# from RevitAPIUI,Version=17.0.0.0,Culture=neutral,PublicKeyToken=null
# by generator 1.145
# no doc
# no imports
# no functions
# classes
class DuctFittingAndAccessoryPressureDropUIData(object,IDisposable):
""" The input and ... | 28.964706 | 215 | 0.717709 |
79627dedf32b92ff95899a027b22f0cba78c60ba | 1,126 | py | Python | tinydebug/TestSuite/TestSuite.py | CCExtractor/AZTinyDebug | 133982d750dfd892616170a16d223a45e81da7e5 | [
"MIT"
] | 3 | 2020-01-12T19:26:03.000Z | 2020-01-13T20:22:05.000Z | tinydebug/TestSuite/TestSuite.py | CCExtractor/AZTinyDebug | 133982d750dfd892616170a16d223a45e81da7e5 | [
"MIT"
] | null | null | null | tinydebug/TestSuite/TestSuite.py | CCExtractor/AZTinyDebug | 133982d750dfd892616170a16d223a45e81da7e5 | [
"MIT"
] | null | null | null | from tinydebug.Debugger import Debugger
from tinydebug.ConsoleReporter import ConsoleReporter
from tinydebug.util import func_from_file, write_results
from pathlib import Path
import json
import os
def run_all_tests(output_directory):
if output_directory:
output_directory = Path(output_directory)
... | 36.322581 | 104 | 0.664298 |
79627e43d78c299454f0cdad6bfddde74bf38df1 | 318,606 | py | Python | pandas/core/frame.py | egoddard/pandas | 3b6915ef9435b13ac5d8c19634270ae231f8e47c | [
"BSD-3-Clause"
] | 1 | 2021-11-04T15:10:30.000Z | 2021-11-04T15:10:30.000Z | pandas/core/frame.py | rjfs/pandas | a0c8425a5f2b74e8a716defd799c4a3716f66eff | [
"BSD-3-Clause"
] | null | null | null | pandas/core/frame.py | rjfs/pandas | a0c8425a5f2b74e8a716defd799c4a3716f66eff | [
"BSD-3-Clause"
] | null | null | null | """
DataFrame
---------
An efficient 2D container for potentially mixed-type time series or other
labeled data series.
Similar to its R counterpart, data.frame, except providing automatic data
alignment and a host of useful data manipulation methods having to do with the
labeling information
"""
import collections
fr... | 34.347348 | 170 | 0.529664 |
79627eec4aaa7897ad3ae92a928531e46d1c32ae | 4,110 | py | Python | homeassistant/components/icloud/device_tracker.py | billyburly/home-assistant | 9795449d22783e77a0ca7b745f15c89a830c5cc6 | [
"Apache-2.0"
] | 2 | 2017-08-29T15:40:44.000Z | 2017-08-30T21:40:12.000Z | homeassistant/components/icloud/device_tracker.py | billyburly/home-assistant | 9795449d22783e77a0ca7b745f15c89a830c5cc6 | [
"Apache-2.0"
] | 1 | 2017-01-20T22:09:40.000Z | 2017-01-20T22:09:40.000Z | homeassistant/components/icloud/device_tracker.py | billyburly/home-assistant | 9795449d22783e77a0ca7b745f15c89a830c5cc6 | [
"Apache-2.0"
] | 6 | 2019-12-01T19:06:52.000Z | 2020-09-17T00:57:06.000Z | """Support for tracking for iCloud devices."""
import logging
from typing import Dict
from homeassistant.components.device_tracker import SOURCE_TYPE_GPS
from homeassistant.components.device_tracker.config_entry import TrackerEntity
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import C... | 30 | 78 | 0.673236 |
79627f6f1bbadeb346b5a7fb2baf53427d981554 | 119 | py | Python | padelpy/__init__.py | ECRL/PaDELPy | 9c6b49ea373e314e5929b8157a6ec062efc1701b | [
"MIT"
] | 33 | 2019-07-16T07:43:38.000Z | 2021-04-08T11:19:35.000Z | padelpy/__init__.py | ECRL/PaDELPy | 9c6b49ea373e314e5929b8157a6ec062efc1701b | [
"MIT"
] | 9 | 2019-10-18T14:44:46.000Z | 2021-04-13T14:43:16.000Z | padelpy/__init__.py | ECRL/PaDELPy | 9c6b49ea373e314e5929b8157a6ec062efc1701b | [
"MIT"
] | 6 | 2020-01-08T02:53:12.000Z | 2021-04-09T05:26:09.000Z | from padelpy.wrapper import padeldescriptor
from padelpy.functions import from_mdl, from_smiles
__version__ = '0.1.10'
| 29.75 | 51 | 0.831933 |
79627f9c50cb3221c3d85cee66097c187c4869f8 | 1,079 | py | Python | dnatools/acgt2fasta.py | dunnousername/dnatools | 8eb91e0332e482566954fbb4b17bc8e460191983 | [
"MIT"
] | 3 | 2019-07-14T02:12:15.000Z | 2020-11-28T21:02:23.000Z | dnatools/acgt2fasta.py | dunnousername/dnatools | 8eb91e0332e482566954fbb4b17bc8e460191983 | [
"MIT"
] | null | null | null | dnatools/acgt2fasta.py | dunnousername/dnatools | 8eb91e0332e482566954fbb4b17bc8e460191983 | [
"MIT"
] | 1 | 2020-02-19T01:31:12.000Z | 2020-02-19T01:31:12.000Z | #!/usr/bin/python3
"""
See fasta2acgt.py for more general info.
Assumes DNA.
"""
import sys
from argparse import ArgumentParser as AP
from argparse import FileType
parser = AP(description='Converts ACGT sequences to FASTA sequences')
parser.add_argument('input', type=FileType('rb'))
parser.add_argument('out... | 22.957447 | 70 | 0.617238 |
796280394efc39765aaecf719958edbf1ee79c8e | 9,677 | py | Python | message.py | pfibiger/grumblechat | 1767d04942fbdee67edf370dcec6345a7d29d8e0 | [
"Apache-2.0"
] | 1 | 2016-05-18T05:12:03.000Z | 2016-05-18T05:12:03.000Z | message.py | pfibiger/grumblechat | 1767d04942fbdee67edf370dcec6345a7d29d8e0 | [
"Apache-2.0"
] | null | null | null | message.py | pfibiger/grumblechat | 1767d04942fbdee67edf370dcec6345a7d29d8e0 | [
"Apache-2.0"
] | null | null | null | from google.appengine.dist import use_library
use_library('django', '1.2')
from google.appengine.api import users
from google.appengine.ext import webapp
from google.appengine.ext.db import Key
from google.appengine.ext.webapp import template
from google.appengine.ext.webapp.util import run_wsgi_app
from datetime imp... | 45.219626 | 116 | 0.555337 |
79628044aa4600d68e3eae956df39affc6c05169 | 120 | py | Python | config.py | salolivares/outpostAutoBump | 8d012fca8fbfa36649f316ef0eb83fc362aea548 | [
"MIT"
] | null | null | null | config.py | salolivares/outpostAutoBump | 8d012fca8fbfa36649f316ef0eb83fc362aea548 | [
"MIT"
] | null | null | null | config.py | salolivares/outpostAutoBump | 8d012fca8fbfa36649f316ef0eb83fc362aea548 | [
"MIT"
] | null | null | null | FIREFOX_PROFILE_PATH = '/home/sal/.mozilla/firefox/zntq7ccv.default'
LOG_FILENAME = 'bump.log'
MINUTES_BETWEEN_BUMP = 15 | 40 | 68 | 0.808333 |
7962807c1fdf4b61dbc5de2be20ec24298909d04 | 9,523 | py | Python | data/aligned_dataset.py | wenqingchu/MMAN | 139145e7d4a6cd5a49c6e000d69ef6b4e7005b95 | [
"BSD-3-Clause"
] | null | null | null | data/aligned_dataset.py | wenqingchu/MMAN | 139145e7d4a6cd5a49c6e000d69ef6b4e7005b95 | [
"BSD-3-Clause"
] | null | null | null | data/aligned_dataset.py | wenqingchu/MMAN | 139145e7d4a6cd5a49c6e000d69ef6b4e7005b95 | [
"BSD-3-Clause"
] | null | null | null | import os.path
import random
import torchvision.transforms as transforms
import torch
import torch.nn as nn
import math
import numpy as np
from data.base_dataset import BaseDataset
from data.image_folder import make_dataset
from PIL import Image, ImageOps
def channel_1toN(img, num_channel):
transform1 = transforms... | 41.404348 | 117 | 0.553817 |
796280bbc480685f0207b667637f985b511454b5 | 141,782 | py | Python | lib/matplotlib/patches.py | SoftwareDev/mat-plot-lib | abaf94859d5ef6e653a4d8a7ce2c59cea1724a57 | [
"MIT",
"BSD-3-Clause"
] | 3 | 2015-02-25T21:51:26.000Z | 2020-01-05T14:11:52.000Z | lib/matplotlib/patches.py | SoftwareDev/mat-plot-lib | abaf94859d5ef6e653a4d8a7ce2c59cea1724a57 | [
"MIT",
"BSD-3-Clause"
] | 7 | 2015-05-08T19:36:25.000Z | 2015-06-30T15:32:17.000Z | lib/matplotlib/patches.py | OceanWolf/matplotlib | a429c415bdb6e54ccfe004a48fdc034ea8e9d329 | [
"MIT",
"BSD-3-Clause"
] | 6 | 2015-06-05T03:34:06.000Z | 2022-01-25T09:07:10.000Z | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import map, zip
import math
import matplotlib as mpl
import numpy as np
import matplotlib.cbook as cbook
import matplotlib.artist as artist
from matplotlib.a... | 32.377712 | 79 | 0.517527 |
796282e76323f586a37120cfb4e5ceaf7c5763cd | 508 | py | Python | test.py | ptsneves/mesonarduino | 77bee12f11fbcdd702e74abf05397b201222aadf | [
"Apache-2.0"
] | null | null | null | test.py | ptsneves/mesonarduino | 77bee12f11fbcdd702e74abf05397b201222aadf | [
"Apache-2.0"
] | null | null | null | test.py | ptsneves/mesonarduino | 77bee12f11fbcdd702e74abf05397b201222aadf | [
"Apache-2.0"
] | null | null | null | import pexpect
import os
import sys
import time
power_cmd = "socat -t0 STDIO,raw,echo=0,escape=0x03,nonblock=1,b57600,end-close file:/tmp/myserial,b57600,cs8,parenb=0,cstopb=0,clocal=0,raw,echo=0"
serialconn = pexpect.spawnu(power_cmd, timeout=2, env=os.environ,
logfile=sys.stdout)
serialconn.send('\r')
serialcon... | 31.75 | 149 | 0.761811 |
79628394d03796a8fe06763b104f3c509fcb642d | 2,999 | py | Python | cyber/python/examples/cyber_header_pb2.py | zhulianhai/apollo | ab47e53dff2a9fe836ac69fdf783a654a0220802 | [
"Apache-2.0"
] | 73 | 2019-07-26T06:24:21.000Z | 2022-03-21T07:21:51.000Z | cyber/python/examples/cyber_header_pb2.py | zhulianhai/apollo | ab47e53dff2a9fe836ac69fdf783a654a0220802 | [
"Apache-2.0"
] | 15 | 2019-08-08T21:20:33.000Z | 2022-02-22T17:57:27.000Z | cyber/python/examples/cyber_header_pb2.py | zhulianhai/apollo | ab47e53dff2a9fe836ac69fdf783a654a0220802 | [
"Apache-2.0"
] | 38 | 2019-04-15T10:58:37.000Z | 2022-01-27T08:52:39.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: cyber_header.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _... | 33.696629 | 245 | 0.742581 |
796283ca81651ae8be23443c072b864c56cf3765 | 402 | py | Python | scenes/LightIntensity.py | tdapper/cinema4d_py_sdk | 32b1d2b63fe28510c83c66065394042900000e92 | [
"Apache-2.0"
] | 113 | 2015-12-11T11:00:49.000Z | 2022-03-27T01:33:12.000Z | scenes/LightIntensity.py | tdapper/cinema4d_py_sdk | 32b1d2b63fe28510c83c66065394042900000e92 | [
"Apache-2.0"
] | 3 | 2016-04-04T12:45:28.000Z | 2019-04-12T08:33:38.000Z | scenes/LightIntensity.py | tdapper/cinema4d_py_sdk | 32b1d2b63fe28510c83c66065394042900000e92 | [
"Apache-2.0"
] | 50 | 2015-11-16T11:13:02.000Z | 2022-03-26T07:05:25.000Z | # This is the Python code used in the Python Tag in LightIntensity.c4d
import math
import c4d
#Welcome to the world of Python
def main():
#get the light object of the tag
light=op.GetObject()
#get the current frame of the document
frame=doc.GetTime().GetFrame(doc.GetFps())
#the frame count contr... | 25.125 | 70 | 0.726368 |
796283d51ceac09368c84945dda3689cb7af5231 | 5,985 | py | Python | jp.atcoder/abc185/abc185_f/26724747.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc185/abc185_f/26724747.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc185/abc185_f/26724747.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | import sys
import typing
import numba as nb
import numpy as np
@nb.njit
def bit_length(n: int) -> int:
l = 0
while 1 << l <= n: l += 1
return l
# segment tree lazy
S = typing.TypeVar('S')
F = typing.TypeVar('F')
@nb.njit
def seg_build(
op_s: typing.Callable[[S, S], S],
e_s: typing... | 25.576923 | 90 | 0.507769 |
796284ca10b972e49018d25c74aa5df4d60bd276 | 2,567 | py | Python | beer.py | PetePrattis/Get-beer-info-from-Brewery-API | a70eb2cbf7d9166ce50a5b256a6f17ab6c5f23fc | [
"MIT"
] | 1 | 2019-10-10T20:22:49.000Z | 2019-10-10T20:22:49.000Z | beer.py | PetePrattis/Get-beer-info-from-Brewery-API | a70eb2cbf7d9166ce50a5b256a6f17ab6c5f23fc | [
"MIT"
] | null | null | null | beer.py | PetePrattis/Get-beer-info-from-Brewery-API | a70eb2cbf7d9166ce50a5b256a6f17ab6c5f23fc | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf8 -*-
#Author Παναγιώτης Πράττης/Panagiotis Prattis
'''
A program which uses the BreweryDB API http://www.brewerydb.com/developers
that shows the beers in the database for the beer kind the user requested.
The fields: BreweryDb.search({'type':'beer','q':'unibroue'}
'''
... | 33.337662 | 81 | 0.624464 |
796286136649458377e8e56af948f6da56e04d6a | 15,922 | py | Python | nova/tests/unit/accelerator/test_cyborg.py | pdo2013/nova | 3c86ff5b25f02aa45d71e35b3d7f722ab4c36fde | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/accelerator/test_cyborg.py | pdo2013/nova | 3c86ff5b25f02aa45d71e35b3d7f722ab4c36fde | [
"Apache-2.0"
] | 2 | 2021-03-31T20:04:16.000Z | 2021-12-13T20:45:03.000Z | nova/tests/unit/accelerator/test_cyborg.py | pdo2013/nova | 3c86ff5b25f02aa45d71e35b3d7f722ab4c36fde | [
"Apache-2.0"
] | 1 | 2020-07-24T02:31:45.000Z | 2020-07-24T02:31:45.000Z | # Copyright 2019 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 ... | 42.916442 | 79 | 0.660909 |
79628684de976f03343f876becc1c947e1f4915d | 654 | py | Python | django/okologiskegrunnkart/migrations/0014_auto_20201124_1248.py | Artsdatabanken/forvaltningsportal | 0e8582e69d0627818860bab78d767cbebd8d5779 | [
"MIT"
] | 6 | 2020-03-02T06:59:01.000Z | 2020-10-26T12:19:56.000Z | django/okologiskegrunnkart/migrations/0014_auto_20201124_1248.py | Artsdatabanken/forvaltningsportal | 0e8582e69d0627818860bab78d767cbebd8d5779 | [
"MIT"
] | 261 | 2020-01-09T06:41:56.000Z | 2020-11-25T14:08:44.000Z | django/okologiskegrunnkart/migrations/0014_auto_20201124_1248.py | Artsdatabanken/forvaltningsportal | 0e8582e69d0627818860bab78d767cbebd8d5779 | [
"MIT"
] | 1 | 2021-01-31T17:51:11.000Z | 2021-01-31T17:51:11.000Z | # Generated by Django 3.0.7 on 2020-11-24 11:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('okologiskegrunnkart', '0013_sublag_position'),
]
operations = [
migrations.RenameField(
model_name='sublag',
old_nam... | 23.357143 | 56 | 0.565749 |
7962869cbf346e94c874528314f0f62bd1c1bf0c | 1,083 | py | Python | jodconverter-web/src/main/office/program/python-core-2.7.6/lib/idlelib/RstripExtension.py | Congliang0229/kkFileView | 1b5793c10aaa047f78c6be4abc41d807e71f71ab | [
"Apache-2.0"
] | 42 | 2018-12-12T01:00:59.000Z | 2022-03-27T07:32:29.000Z | jodconverter-web/src/main/office/program/python-core-2.7.6/lib/idlelib/RstripExtension.py | Congliang0229/kkFileView | 1b5793c10aaa047f78c6be4abc41d807e71f71ab | [
"Apache-2.0"
] | 13 | 2020-11-06T13:50:45.000Z | 2022-01-25T07:17:37.000Z | jodconverter-web/src/main/office/program/python-core-2.7.6/lib/idlelib/RstripExtension.py | Congliang0229/kkFileView | 1b5793c10aaa047f78c6be4abc41d807e71f71ab | [
"Apache-2.0"
] | 8 | 2020-11-14T04:30:26.000Z | 2021-01-16T17:55:19.000Z | 'Provides "Strip trailing whitespace" under the "Format" menu.'
class RstripExtension:
menudefs = [
('format', [None, ('Strip trailing whitespace', '<<do-rstrip>>'), ] ), ]
def __init__(self, editwin):
self.editwin = editwin
self.editwin.text.bind("<<do-rstrip>>", self.do_rst... | 31.852941 | 81 | 0.559557 |
7962871ed69d1b73386f47ce8fd42a3344676586 | 392 | py | Python | src/kgmk/dsa/misc/compress_array/__init__.py | kagemeka/python | 486ce39d97360b61029527bacf00a87fdbcf552c | [
"MIT"
] | null | null | null | src/kgmk/dsa/misc/compress_array/__init__.py | kagemeka/python | 486ce39d97360b61029527bacf00a87fdbcf552c | [
"MIT"
] | null | null | null | src/kgmk/dsa/misc/compress_array/__init__.py | kagemeka/python | 486ce39d97360b61029527bacf00a87fdbcf552c | [
"MIT"
] | null | null | null | import typing
class CompressArray():
def __call__(
self,
a: typing.List[int],
) -> typing.NoReturn:
from bisect import bisect_left
v = sorted(set(a))
self.__v = v
return [bisect_left(v, x) for x in a]
def __getitem__(
self,
i: int,
) -> int:
return self.retrieve(i)
... | 14.518519 | 41 | 0.57398 |
79628786392ecee17c1623107715c5be01f285de | 12,933 | py | Python | envs/multiagent/environment.py | bic4907/MADDPG_simpletag | 4afcad1d1d17f1fd5d12e3ef72e04af984dfaba5 | [
"MIT"
] | 2 | 2019-03-20T06:14:00.000Z | 2019-12-12T04:02:25.000Z | envs/multiagent/environment.py | bic4907/MADDPG_simpletag | 4afcad1d1d17f1fd5d12e3ef72e04af984dfaba5 | [
"MIT"
] | null | null | null | envs/multiagent/environment.py | bic4907/MADDPG_simpletag | 4afcad1d1d17f1fd5d12e3ef72e04af984dfaba5 | [
"MIT"
] | null | null | null | import gym
from gym import spaces
from gym.envs.registration import EnvSpec
import numpy as np
from multiagent.multi_discrete import MultiDiscrete
# environment for all agents in the multiagent world
# currently code assumes that no agents will be created/destroyed at runtime!
class MultiAgentEnv(gym.Env):
metadat... | 38.376855 | 124 | 0.573571 |
7962886f59d53ce2b54a2bf0aa6d1eded1090c1a | 1,967 | py | Python | tests/contrib/asyncio/test_tracer_safety.py | tophatmonocle/dd-trace-py | 7db12f1c398c07cd5baf91c571aed672dbb6496d | [
"BSD-3-Clause"
] | 1 | 2019-11-24T23:09:29.000Z | 2019-11-24T23:09:29.000Z | tests/contrib/asyncio/test_tracer_safety.py | tophatmonocle/dd-trace-py | 7db12f1c398c07cd5baf91c571aed672dbb6496d | [
"BSD-3-Clause"
] | null | null | null | tests/contrib/asyncio/test_tracer_safety.py | tophatmonocle/dd-trace-py | 7db12f1c398c07cd5baf91c571aed672dbb6496d | [
"BSD-3-Clause"
] | 1 | 2021-01-24T13:44:57.000Z | 2021-01-24T13:44:57.000Z | import asyncio
from nose.tools import eq_, ok_
from ddtrace.provider import DefaultContextProvider
from .utils import AsyncioTestCase, mark_asyncio
class TestAsyncioSafety(AsyncioTestCase):
"""
Ensure that if the ``AsyncioTracer`` is not properly configured,
bad traces are produced but the ``Context`` o... | 32.783333 | 72 | 0.643111 |
796288ff070409bbd71032b3dd1ee9c0bfd2ea4e | 1,449 | py | Python | aliyun-python-sdk-imm/aliyunsdkimm/request/v20170906/ListOfficeConversionTaskRequest.py | liumihust/aliyun-openapi-python-sdk | c7b5dd4befae4b9c59181654289f9272531207ef | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-imm/aliyunsdkimm/request/v20170906/ListOfficeConversionTaskRequest.py | liumihust/aliyun-openapi-python-sdk | c7b5dd4befae4b9c59181654289f9272531207ef | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-imm/aliyunsdkimm/request/v20170906/ListOfficeConversionTaskRequest.py | liumihust/aliyun-openapi-python-sdk | c7b5dd4befae4b9c59181654289f9272531207ef | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 33.697674 | 83 | 0.757764 |
7962892148e1085099ca51dae4b84d9ef879e472 | 8,717 | py | Python | ndlib/models/opinions/AlgorithmicBiasMediaModel.py | ValentinaPansanella/ndlib | e4dbfdbf8cc69c92c31f7cce524189110b009c9f | [
"BSD-2-Clause"
] | null | null | null | ndlib/models/opinions/AlgorithmicBiasMediaModel.py | ValentinaPansanella/ndlib | e4dbfdbf8cc69c92c31f7cce524189110b009c9f | [
"BSD-2-Clause"
] | null | null | null | ndlib/models/opinions/AlgorithmicBiasMediaModel.py | ValentinaPansanella/ndlib | e4dbfdbf8cc69c92c31f7cce524189110b009c9f | [
"BSD-2-Clause"
] | null | null | null | from ndlib.models.DiffusionModel import DiffusionModel
import numpy as np
import tqdm
import random
import os
import time
import pickle
class AlgorithmicBiasMediaModel(DiffusionModel):
"""
Model Parameters to be specified via ModelConfig
:param epsilon: bounded confidence threshold from the Deffuant model... | 34.59127 | 151 | 0.527704 |
79628952fc494e511494b87f3f8b3ee0d0782675 | 11,165 | py | Python | bin/tools/pykg-config/pykg_config/result.py | apaprocki/bde-tools | 74cee6ed6c2de1bbb0d7cb7fdc96b60a37cab434 | [
"Apache-2.0"
] | null | null | null | bin/tools/pykg-config/pykg_config/result.py | apaprocki/bde-tools | 74cee6ed6c2de1bbb0d7cb7fdc96b60a37cab434 | [
"Apache-2.0"
] | null | null | null | bin/tools/pykg-config/pykg_config/result.py | apaprocki/bde-tools | 74cee6ed6c2de1bbb0d7cb7fdc96b60a37cab434 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2009-2012, Geoffrey Biggs
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of condit... | 39.592199 | 84 | 0.620869 |
796289a95bbf0a39bad9c4411fa90aeecb459d17 | 6,720 | py | Python | nnunet/experiment_planning/alternative_experiment_planning/experiment_planner_baseline_3DUNet_v21_11GB.py | alexpron/nnUNet | e5e5e2d42aae64f88b576714a19fe955bf8dbd86 | [
"Apache-2.0"
] | 72 | 2020-10-30T08:55:17.000Z | 2022-03-30T03:15:55.000Z | nnunet/experiment_planning/alternative_experiment_planning/experiment_planner_baseline_3DUNet_v21_11GB.py | alexpron/nnUNet | e5e5e2d42aae64f88b576714a19fe955bf8dbd86 | [
"Apache-2.0"
] | 16 | 2021-01-13T03:39:47.000Z | 2022-03-31T21:35:32.000Z | nnunet/experiment_planning/alternative_experiment_planning/experiment_planner_baseline_3DUNet_v21_11GB.py | walehn/mynnUNet | 77bc485ee025a61feb91cb0a0ed1c61a32a0f39f | [
"Apache-2.0"
] | 20 | 2020-10-29T20:47:28.000Z | 2022-03-26T07:18:00.000Z | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# 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://w... | 53.76 | 147 | 0.622619 |
79628a2c84bf2aa5230735f43833c5923d1ee854 | 46 | py | Python | Chapter 10/appfactory/Flaskapp/app.py | bpbpublications/Building-Web-Apps-with-Python-and-Flask | 4fbbe75fad9629f16ff5bf8bd603aa09dd04f9eb | [
"MIT"
] | 2 | 2021-05-08T23:10:12.000Z | 2021-05-10T14:33:27.000Z | Chapter 10/appfactory/Flaskapp/app.py | bpbpublications/Building-Web-Apps-with-Python-and-Flask | 4fbbe75fad9629f16ff5bf8bd603aa09dd04f9eb | [
"MIT"
] | null | null | null | Chapter 10/appfactory/Flaskapp/app.py | bpbpublications/Building-Web-Apps-with-Python-and-Flask | 4fbbe75fad9629f16ff5bf8bd603aa09dd04f9eb | [
"MIT"
] | 1 | 2021-07-08T19:17:53.000Z | 2021-07-08T19:17:53.000Z | from flask import Flask
app=Flask(__name__)
| 15.333333 | 24 | 0.782609 |
79628a3ca11d0200e3ce9f1121b129edd92f3af7 | 3,558 | py | Python | fastapi_mvc/template/{{cookiecutter.folder_name}}/tests/unit/app/utils/test_redis.py | julianbrooks/fastapi-mvc-template | 8fef3cb671254987f136415dfc4d8325334ce38e | [
"MIT"
] | 23 | 2021-07-27T20:42:18.000Z | 2021-12-14T00:02:05.000Z | fastapi_mvc/template/{{cookiecutter.folder_name}}/tests/unit/app/utils/test_redis.py | julianbrooks/fastapi-mvc-template | 8fef3cb671254987f136415dfc4d8325334ce38e | [
"MIT"
] | 5 | 2021-07-27T14:10:24.000Z | 2021-12-11T20:06:43.000Z | fastapi_mvc/template/{{cookiecutter.folder_name}}/tests/unit/app/utils/test_redis.py | julianbrooks/fastapi-mvc-template | 8fef3cb671254987f136415dfc4d8325334ce38e | [
"MIT"
] | 5 | 2021-09-07T18:56:46.000Z | 2021-12-14T00:02:20.000Z | import mock
import pytest
from aioredis import Redis
from aioredis.exceptions import RedisError
from {{cookiecutter.package_name}}.app.utils import RedisClient
from {{cookiecutter.package_name}}.config import redis as redis_conf
# monkey patch for allowing MagicMock to be used with await
# https://stackoverflow.com/a... | 30.410256 | 74 | 0.754075 |
79628ae3f6f9803e9cf8e180e1a8de5565a69394 | 1,164 | py | Python | src/read_customer.py | kschwarz1116/Python-Cohort-Analysis | bbcfbfa18b179c0d7edfcc7bc052d628396122c0 | [
"MIT"
] | null | null | null | src/read_customer.py | kschwarz1116/Python-Cohort-Analysis | bbcfbfa18b179c0d7edfcc7bc052d628396122c0 | [
"MIT"
] | null | null | null | src/read_customer.py | kschwarz1116/Python-Cohort-Analysis | bbcfbfa18b179c0d7edfcc7bc052d628396122c0 | [
"MIT"
] | null | null | null | """
Imports the list of customers
"""
from typing import Dict
import csv
import datetime as dt
from customer import Customer, CUSTOMERS
def read_customers(customer_file: str) -> Dict[int, Customer]:
"""
This function takes in a file name and
outputs a dictionary containing the file's customers
"""
... | 29.846154 | 95 | 0.646048 |
79628befdf5cd7647bf54f52acf4bf979a37c260 | 10,826 | py | Python | lib/galaxy/webapps/galaxy/api/datasets.py | beatrizserrano/galaxy | e149d9d32e1bca6c07c38b1a9cdabfee60323610 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/webapps/galaxy/api/datasets.py | beatrizserrano/galaxy | e149d9d32e1bca6c07c38b1a9cdabfee60323610 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/webapps/galaxy/api/datasets.py | beatrizserrano/galaxy | e149d9d32e1bca6c07c38b1a9cdabfee60323610 | [
"CC-BY-3.0"
] | null | null | null | """
API operations on the contents of a history dataset.
"""
import logging
from typing import (
Any,
cast,
Dict,
List,
Optional,
)
from fastapi import (
Body,
Depends,
Path,
Query,
Request,
)
from starlette.responses import (
FileResponse,
StreamingResponse,
)
from gal... | 36.823129 | 120 | 0.666913 |
79628c0f4264243e048d3721049c244d6cd221f8 | 13,807 | py | Python | atmos/plots.py | mullenkamp/pareora-current-state-2016 | 017d6ca2e4c644335cb3d8c0b5c409a198d3c109 | [
"Apache-2.0"
] | null | null | null | atmos/plots.py | mullenkamp/pareora-current-state-2016 | 017d6ca2e4c644335cb3d8c0b5c409a198d3c109 | [
"Apache-2.0"
] | null | null | null | atmos/plots.py | mullenkamp/pareora-current-state-2016 | 017d6ca2e4c644335cb3d8c0b5c409a198d3c109 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Surface water plotting functions.
"""
def hydrograph_plot(flow, precip=None, x_period='day', x_n_periods=1, time_format='%d-%m %H', x_rot=45, alpha=0.6, flow_units='m^{3}/s', precip_units='mm', x_grid=False, export_path=None):
"""
Plotting function for hydrographs with/without a pr... | 37.316216 | 190 | 0.614616 |
79628c8faae4a97b9a6a4cf5e09f1ae0e7667427 | 264 | py | Python | tests/test_op_hadamard.py | ruanton/qsim | 5cfe6fb5e20c85749490bf5c69921e9902fa2e75 | [
"MIT"
] | null | null | null | tests/test_op_hadamard.py | ruanton/qsim | 5cfe6fb5e20c85749490bf5c69921e9902fa2e75 | [
"MIT"
] | null | null | null | tests/test_op_hadamard.py | ruanton/qsim | 5cfe6fb5e20c85749490bf5c69921e9902fa2e75 | [
"MIT"
] | null | null | null | import numpy as np
from qsim import OperationHadamard, Circuit
def test_operation_hadamard():
c = Circuit(qubit_count=1)
o = OperationHadamard(c)
assert o.qubits_count == 1
assert np.array_equal(o.op_matrix, np.array([[1, 1], [1, -1]])*0.5**0.5)
| 26.4 | 76 | 0.689394 |
79628cf88f58cccc2d1c290e7f09de9823237841 | 5,195 | py | Python | elasticapm/contrib/starlette/utils.py | v1v/apm-agent-python | b47b53e1f0fe9529080a83c97467676061e220ec | [
"BSD-3-Clause"
] | null | null | null | elasticapm/contrib/starlette/utils.py | v1v/apm-agent-python | b47b53e1f0fe9529080a83c97467676061e220ec | [
"BSD-3-Clause"
] | null | null | null | elasticapm/contrib/starlette/utils.py | v1v/apm-agent-python | b47b53e1f0fe9529080a83c97467676061e220ec | [
"BSD-3-Clause"
] | null | null | null | # BSD 3-Clause License
#
# Copyright (c) 2019, Elasticsearch BV
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, t... | 31.484848 | 120 | 0.681232 |
79628dd7500777b50e7b5ce54d08de4780af5d2e | 1,389 | py | Python | 2016/p8/p8.py | BrainBot/advent | de3866878f5417940a8e6dd54a91aad34dccea74 | [
"MIT"
] | null | null | null | 2016/p8/p8.py | BrainBot/advent | de3866878f5417940a8e6dd54a91aad34dccea74 | [
"MIT"
] | null | null | null | 2016/p8/p8.py | BrainBot/advent | de3866878f5417940a8e6dd54a91aad34dccea74 | [
"MIT"
] | null | null | null | import re
rect_cmd = re.compile(r'([0-9]+)x([0-9]+)')
rotate_cmd = re.compile(r'([xy])=([0-9]+) by ([0-9]+)')
def make_screen(height, width):
return [[0 for cols in range(width)] for rows in range(height)]
def print_screen(screen):
for row in screen:
for col in row:
print '#' if col == 1 else '-',
print ""
... | 20.731343 | 66 | 0.62419 |
79628e2554194708295919facd285d4eeedd7432 | 4,298 | py | Python | scripts/train_baselines_kitti.py | weirayao/leap | 8d10b8413d02d3be49d5c02a13a0aa60a741d8da | [
"MIT"
] | 7 | 2022-01-06T18:37:57.000Z | 2022-03-20T17:11:30.000Z | scripts/train_baselines_kitti.py | weirayao/leap | 8d10b8413d02d3be49d5c02a13a0aa60a741d8da | [
"MIT"
] | null | null | null | scripts/train_baselines_kitti.py | weirayao/leap | 8d10b8413d02d3be49d5c02a13a0aa60a741d8da | [
"MIT"
] | null | null | null | import torch
import random
import argparse
import numpy as np
import ipdb as pdb
import os, pwd, yaml
import pytorch_lightning as pl
from torch.utils.data import DataLoader, random_split
import warnings
warnings.filterwarnings('ignore')
from train_spline import pretrain_spline
from leap.tools.utils import load_yaml
fr... | 38.720721 | 106 | 0.519311 |
79628f442372d862107329ac08d7da1cbeda745b | 202 | py | Python | ultron8/api/api_v1/endpoints/alive.py | bossjones/ultron8 | 45db73d32542a844570d44bc83defa935e15803f | [
"Apache-2.0",
"MIT"
] | null | null | null | ultron8/api/api_v1/endpoints/alive.py | bossjones/ultron8 | 45db73d32542a844570d44bc83defa935e15803f | [
"Apache-2.0",
"MIT"
] | 43 | 2019-06-01T23:08:32.000Z | 2022-02-07T22:24:53.000Z | ultron8/api/api_v1/endpoints/alive.py | bossjones/ultron8 | 45db73d32542a844570d44bc83defa935e15803f | [
"Apache-2.0",
"MIT"
] | null | null | null | from fastapi import APIRouter
from starlette.responses import UJSONResponse
router = APIRouter()
@router.get("/alive")
async def alive() -> UJSONResponse:
return UJSONResponse({"status": "yes"})
| 20.2 | 45 | 0.742574 |
796290b609bcf09150487a450eb6c52306e8e4b9 | 204 | py | Python | workflow/deploy/tensorflow-serving/src/webservice/util/util.py | helmut-hoffer-von-ankershoffen/jetson | b8dd14f8e35d10b406292287d3162eb08cdb48f7 | [
"MIT"
] | 127 | 2019-12-10T19:32:53.000Z | 2022-03-31T02:58:19.000Z | workflow/deploy/tensorflow-serving/src/webservice/util/util.py | roboflow-ai/jetson | b8dd14f8e35d10b406292287d3162eb08cdb48f7 | [
"MIT"
] | null | null | null | workflow/deploy/tensorflow-serving/src/webservice/util/util.py | roboflow-ai/jetson | b8dd14f8e35d10b406292287d3162eb08cdb48f7 | [
"MIT"
] | 37 | 2019-12-31T20:53:06.000Z | 2022-02-09T19:44:13.000Z | def millis_interval(start, end):
diff = end - start
millis = diff.days * 24 * 60 * 60 * 1000
millis += diff.seconds * 1000
millis += diff.microseconds / 1000
return int(round(millis))
| 29.142857 | 44 | 0.632353 |
796291bdb41d201ea792694b69f3659459beb36a | 2,701 | py | Python | Tests/TestContentTypes.py | chouquette/fb-util-for-appx | 9925835f5739f81c486d5f9f911f793d0f567a0f | [
"BSD-3-Clause"
] | 1 | 2018-02-28T07:57:47.000Z | 2018-02-28T07:57:47.000Z | Tests/TestContentTypes.py | chouquette/fb-util-for-appx | 9925835f5739f81c486d5f9f911f793d0f567a0f | [
"BSD-3-Clause"
] | null | null | null | Tests/TestContentTypes.py | chouquette/fb-util-for-appx | 9925835f5739f81c486d5f9f911f793d0f567a0f | [
"BSD-3-Clause"
] | 1 | 2020-01-16T20:20:59.000Z | 2020-01-16T20:20:59.000Z | #!/usr/bin/env python2.7
#
# Copyright (c) 2016-present, Facebook, Inc.
# 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. An additional grant
# of patent rights can be found in the PATENTS file in the same directory... | 38.585714 | 78 | 0.638652 |
7962922a58634d6f5d22c84778adf048f26926c2 | 494 | py | Python | node/blockchain/inner_models/type_map.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 18 | 2021-11-30T04:02:13.000Z | 2022-03-24T12:33:57.000Z | node/blockchain/inner_models/type_map.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 1 | 2022-02-04T17:07:38.000Z | 2022-02-04T17:07:38.000Z | node/blockchain/inner_models/type_map.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 5 | 2022-01-31T05:28:13.000Z | 2022-03-08T17:25:31.000Z | from . import Block
TYPE_MAP = {}
for subclass in Block.__subclasses__():
key = subclass.__fields__['message'].type_.__fields__['type'].default
assert key is not None
TYPE_MAP[key] = subclass
def get_block_subclass(type_):
return TYPE_MAP[type_]
def get_block_message_subclass(type_):
return ge... | 23.52381 | 73 | 0.763158 |
796292762d2fe8e0967868f4eb3c667daf210d36 | 8,752 | py | Python | basisnet/personalization/centralized_so_nwp/trainer_so.py | xxdreck/google-research | dac724bc2b9362d65c26747a8754504fe4c615f8 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | basisnet/personalization/centralized_so_nwp/trainer_so.py | xxdreck/google-research | dac724bc2b9362d65c26747a8754504fe4c615f8 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | basisnet/personalization/centralized_so_nwp/trainer_so.py | admariner/google-research | 7cee4b22b925581d912e8d993625c180da2a5a4f | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... | 34.456693 | 83 | 0.719835 |
796293364c36c90128a528d00265d85d787e33f6 | 11,666 | py | Python | invenio_previewer/__init__.py | diegodelemos/invenio-previewer | 558fd22e0f29cc8cd7a6999abd4febcf6b248c49 | [
"MIT"
] | null | null | null | invenio_previewer/__init__.py | diegodelemos/invenio-previewer | 558fd22e0f29cc8cd7a6999abd4febcf6b248c49 | [
"MIT"
] | null | null | null | invenio_previewer/__init__.py | diegodelemos/invenio-previewer | 558fd22e0f29cc8cd7a6999abd4febcf6b248c49 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2016-2019 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
r"""Invenio module for previewing files.
Invenio-Previewer provides extensible file ... | 36.685535 | 79 | 0.721155 |
79629357e562068adb6b47492c8f1c911702b760 | 2,340 | py | Python | dss_vae/utils/schedule_funs.py | baoy-nlp/DSS-VAE | 855f5722301b2d22aef622e7bb8fef74a759f9de | [
"Apache-2.0"
] | 37 | 2019-07-05T16:20:13.000Z | 2021-12-21T05:04:49.000Z | dss_vae/utils/schedule_funs.py | baoy-nlp/DSS-VAE | 855f5722301b2d22aef622e7bb8fef74a759f9de | [
"Apache-2.0"
] | 2 | 2019-08-28T11:51:01.000Z | 2021-06-06T11:39:21.000Z | dss_vae/utils/schedule_funs.py | baoy-nlp/DSS-VAE | 855f5722301b2d22aef622e7bb8fef74a759f9de | [
"Apache-2.0"
] | 3 | 2020-01-03T06:17:13.000Z | 2021-11-29T12:32:01.000Z | # MIT License
# Copyright (c) 2018 the NJUNLP groups.
# 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 rights
# to use, copy, modify, me... | 40.344828 | 92 | 0.705556 |
796293917aa7ab099c58ea804fa52fd113104f7c | 4,758 | py | Python | main.py | DoctorDoomLabs/vulncode-db | 9c3bd3c953daea561e1c74482cd3b942da959f53 | [
"Apache-2.0"
] | 1 | 2019-04-15T09:50:43.000Z | 2019-04-15T09:50:43.000Z | main.py | DoctorDoomLabs/vulncode-db | 9c3bd3c953daea561e1c74482cd3b942da959f53 | [
"Apache-2.0"
] | null | null | null | main.py | DoctorDoomLabs/vulncode-db | 9c3bd3c953daea561e1c74482cd3b942da959f53 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright 2019 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 agre... | 31.72 | 100 | 0.733081 |
7962942c3a4e27b42880ed70e42eb7e10ee7a0d4 | 9,313 | py | Python | tests/config_factory.py | JD4912/SSL | a057d293ca8e01d53a6c93c467ea6a59dce48bf0 | [
"MIT"
] | null | null | null | tests/config_factory.py | JD4912/SSL | a057d293ca8e01d53a6c93c467ea6a59dce48bf0 | [
"MIT"
] | 1 | 2021-12-22T06:52:20.000Z | 2021-12-22T06:52:20.000Z | tests/config_factory.py | JD4912/SSL | a057d293ca8e01d53a6c93c467ea6a59dce48bf0 | [
"MIT"
] | null | null | null | """Create real temporary ACME dns tiny configurations to run tests with real server"""
import os
import configparser
from tempfile import NamedTemporaryFile
from subprocess import Popen
# domain with server.py running on it for testing
DOMAIN = os.getenv("GITLABCI_DOMAIN")
ACMEDIRECTORY = os.getenv("GITLABCI_ACMEDIREC... | 41.026432 | 97 | 0.680447 |
796294a7f5d409c6bd5d2bb916001b538b662ab3 | 241 | py | Python | examples/debtor/debtor.edit.py | mzijdemans/hostfact-api-python-client | 801523000d9e9aef9dcfe2fc3e21391c0d99c26a | [
"MIT"
] | null | null | null | examples/debtor/debtor.edit.py | mzijdemans/hostfact-api-python-client | 801523000d9e9aef9dcfe2fc3e21391c0d99c26a | [
"MIT"
] | null | null | null | examples/debtor/debtor.edit.py | mzijdemans/hostfact-api-python-client | 801523000d9e9aef9dcfe2fc3e21391c0d99c26a | [
"MIT"
] | null | null | null | from hostfact_api import HostFactAPI
api = HostFactAPI()
debtorParams = {
'Identifier': '1',
'CompanyName': 'Company Y',
'AccountName': 'Company Y'
}
response = api.sendRequest('debtor', 'edit', debtorParams)
print(response)
| 17.214286 | 58 | 0.684647 |
796294bad257b1d605a64057e96d16b66aac8f04 | 178 | py | Python | Day5/graphics.py | ananthramas/pythonEducation | 7abd0341ee6cf46aaf3b337ba5870e3e3ea72e83 | [
"MIT"
] | null | null | null | Day5/graphics.py | ananthramas/pythonEducation | 7abd0341ee6cf46aaf3b337ba5870e3e3ea72e83 | [
"MIT"
] | null | null | null | Day5/graphics.py | ananthramas/pythonEducation | 7abd0341ee6cf46aaf3b337ba5870e3e3ea72e83 | [
"MIT"
] | 1 | 2021-03-16T00:04:42.000Z | 2021-03-16T00:04:42.000Z | import turtle
chintu = turtle.Turtle()
chintu.shape("turtle")
chintu.fillcolor("yellow");
chintu.left(45)
chintu.forward(50)
chintu.circle(50)
chintu.clear()
chintu.done()
| 11.866667 | 27 | 0.730337 |
7962955955b3e404a1ca030d6c77871b8713221e | 1,475 | py | Python | mldp/tests/collectors/test_standard_chunk_collector.py | prashantlv/mltoolkit | acc192bafc66b7661d541ef4f604b5e5ab7df5ca | [
"MIT"
] | 1 | 2020-10-03T05:23:31.000Z | 2020-10-03T05:23:31.000Z | mldp/tests/collectors/test_standard_chunk_collector.py | prashantlv/mltoolkit | acc192bafc66b7661d541ef4f604b5e5ab7df5ca | [
"MIT"
] | null | null | null | mldp/tests/collectors/test_standard_chunk_collector.py | prashantlv/mltoolkit | acc192bafc66b7661d541ef4f604b5e5ab7df5ca | [
"MIT"
] | null | null | null | import unittest
from mldp.tests.common import generate_data_chunk, create_list_of_data_chunks
from mldp.steps.general import ChunkAccumulator
from mldp.steps.collectors import UnitCollector
import itertools
class ChunkAccumulatorTests(unittest.TestCase):
def test_chunk_size_adjustment_with_random_data_and_params... | 39.864865 | 80 | 0.678644 |
796295d53598c385eb546ea9b6cdb8149ad50099 | 6,943 | py | Python | datastore.py | primatelabs/voodoopad-tools | 0b09380491c0267874f5673a4b979ebb4591c4b0 | [
"MIT"
] | null | null | null | datastore.py | primatelabs/voodoopad-tools | 0b09380491c0267874f5673a4b979ebb4591c4b0 | [
"MIT"
] | null | null | null | datastore.py | primatelabs/voodoopad-tools | 0b09380491c0267874f5673a4b979ebb4591c4b0 | [
"MIT"
] | 1 | 2021-09-07T22:04:31.000Z | 2021-09-07T22:04:31.000Z | #!/usr/bin/env python3
# Copyright (c) 2004-2021 Primate Labs Inc.
#
# 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 rights to use, co... | 36.161458 | 93 | 0.635028 |
79629736803026f72fd4e7af1bca641bb5b3d234 | 5,219 | py | Python | 17/17b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | 1 | 2021-12-01T17:43:38.000Z | 2021-12-01T17:43:38.000Z | 17/17b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | null | null | null | 17/17b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | null | null | null | #!/bin/env python3
import re
from dataclasses import dataclass
from functools import partial
from itertools import product
from typing import Callable
from aocd import get_data
@dataclass(frozen=True)
class Point:
x: int
y: int
def __add__(self, other):
if isinstance(other, (self.__class__, Thro... | 25.21256 | 85 | 0.532286 |
796297bb10847e69e11b8cfd27d85f9d82d29764 | 19,502 | py | Python | streamsx/standard/relational.py | IBMStreams/streamsx.standard | b0132f894492dddd95aa43894b58564f6a0cf98b | [
"Apache-2.0"
] | null | null | null | streamsx/standard/relational.py | IBMStreams/streamsx.standard | b0132f894492dddd95aa43894b58564f6a0cf98b | [
"Apache-2.0"
] | 12 | 2019-05-21T22:06:37.000Z | 2020-07-02T08:03:32.000Z | streamsx/standard/relational.py | IBMStreams/pypi.streamsx.standard | b0132f894492dddd95aa43894b58564f6a0cf98b | [
"Apache-2.0"
] | 4 | 2017-11-17T23:14:40.000Z | 2020-01-24T09:18:49.000Z | # coding=utf-8
# Licensed Materials - Property of IBM
# Copyright IBM Corp. 2017,2018
"""
Stream transformations using relational predicates.
"""
from streamsx.spl.op import Invoke, Map
import streamsx.standard._version
__version__ = streamsx.standard._version.__version__
class Aggregate(Map):
"""Aggregation aga... | 38.541502 | 214 | 0.649626 |
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