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793f0e1647881b1e34f40a457f912611bda2613c | 1,913 | py | Python | contrib/devtools/check-doc.py | cxccoin/cxc | afef248557cb315a99453a0622d502c79528ca57 | [
"MIT"
] | null | null | null | contrib/devtools/check-doc.py | cxccoin/cxc | afef248557cb315a99453a0622d502c79528ca57 | [
"MIT"
] | null | null | null | contrib/devtools/check-doc.py | cxccoin/cxc | afef248557cb315a99453a0622d502c79528ca57 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
This checks if all command line args are documented.
Return value is 0 to indicate no error.
Author: ... | 42.511111 | 301 | 0.690538 |
793f0e538dac32c7bd2067f089e31a80fb30376c | 1,827 | py | Python | src/my/kadenze/lesson1/GaussianTF.py | AlfredNeverKog/BrainCarya | 2ee065a1fbface0c993c3ddfd0ca2cea236bbad5 | [
"MIT"
] | null | null | null | src/my/kadenze/lesson1/GaussianTF.py | AlfredNeverKog/BrainCarya | 2ee065a1fbface0c993c3ddfd0ca2cea236bbad5 | [
"MIT"
] | null | null | null | src/my/kadenze/lesson1/GaussianTF.py | AlfredNeverKog/BrainCarya | 2ee065a1fbface0c993c3ddfd0ca2cea236bbad5 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
sess = tf.InteractiveSession() #open eval
sigma = 3.0
mean = 0
def gaus(x):
y = (1 / (sigma * tf.sqrt(2.0 * 3.14))) * tf.exp(tf.neg((tf.pow(x - mean, 2.0)) / (2 * tf.pow(sigma, 2.0))))
return y
def geus2d():
x = tf.linspace(-5.0,5... | 26.867647 | 116 | 0.539683 |
793f0e538efd2fecfd7d60e59f1f5d83e9acedf4 | 31,307 | py | Python | nltk/parse/transitionparser.py | oplatek/nltk | 7216fb5aac79153c14015a5a234d34c2327c3188 | [
"Apache-2.0"
] | null | null | null | nltk/parse/transitionparser.py | oplatek/nltk | 7216fb5aac79153c14015a5a234d34c2327c3188 | [
"Apache-2.0"
] | null | null | null | nltk/parse/transitionparser.py | oplatek/nltk | 7216fb5aac79153c14015a5a234d34c2327c3188 | [
"Apache-2.0"
] | null | null | null | # Natural Language Toolkit: Arc-Standard and Arc-eager Transition Based Parsers
#
# Author: Long Duong <longdt219@gmail.com>
#
# Copyright (C) 2001-2015 NLTK Project
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
import tempfile
import pickle
from os import remove
from copy import deepcopy
from ... | 40.553109 | 233 | 0.544032 |
793f0e5c2d0d697eb55583645c21f6e4f7579522 | 13,089 | py | Python | wand/sequence.py | Harmon758/wand | 84bd4a20a315b76b467d5c62ffabc4f7577e9008 | [
"MIT"
] | null | null | null | wand/sequence.py | Harmon758/wand | 84bd4a20a315b76b467d5c62ffabc4f7577e9008 | [
"MIT"
] | null | null | null | wand/sequence.py | Harmon758/wand | 84bd4a20a315b76b467d5c62ffabc4f7577e9008 | [
"MIT"
] | null | null | null | """:mod:`wand.sequence` --- Sequences
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. versionadded:: 0.3.0
"""
import contextlib
import ctypes
import numbers
from .api import libmagick, library
from .compat import abc, binary, xrange
from .image import BaseImage, ImageProperty
from .version import MAGICK_VERSION_INFO
__al... | 36.358333 | 79 | 0.577813 |
793f0eb02919f318cc40fb7e889280e3a7f56dce | 14,171 | py | Python | circews/classes/label_gen.py | ratschlab/circEWS | b2b1f00dac4f5d46856a2c7abe2ca4f12d4c612d | [
"MIT"
] | 34 | 2020-03-17T16:42:00.000Z | 2022-03-29T15:53:24.000Z | circews/classes/label_gen.py | ranxiao/circEWS | 1e52880c268f8f763bbc16763131634ffc217153 | [
"MIT"
] | 3 | 2020-07-30T22:37:10.000Z | 2021-08-10T00:02:30.000Z | circews/classes/label_gen.py | ranxiao/circEWS | 1e52880c268f8f763bbc16763131634ffc217153 | [
"MIT"
] | 14 | 2020-04-22T01:13:54.000Z | 2021-11-27T20:23:41.000Z | '''
Class wrapper for label generation, transforming an input data-frame with endpoints and
an input data-frame with imputed data to a Pandas data-frame
with labels
'''
import os
import sys
import os.path
import ipdb
import numpy as np
import scipy as sp
import pandas as pd
import circews.functions.labels as bern_l... | 50.610714 | 175 | 0.71851 |
793f102c8b2e5840be88ab1fb3ea0d779a0aae37 | 729 | py | Python | django-rgd-3d/rgd_3d/tasks/jobs.py | Kitware/ResonantGeoData | 6d111cbe1d57df2cd230edcf4724f6e33471f5ff | [
"Apache-2.0"
] | 3 | 2020-03-10T14:47:07.000Z | 2020-05-05T16:55:27.000Z | django-rgd-3d/rgd_3d/tasks/jobs.py | Kitware/ResonantGeoData | 6d111cbe1d57df2cd230edcf4724f6e33471f5ff | [
"Apache-2.0"
] | 13 | 2020-04-14T14:36:06.000Z | 2020-05-07T15:03:42.000Z | django-rgd-3d/rgd_3d/tasks/jobs.py | Kitware/ResonantGeoData | 6d111cbe1d57df2cd230edcf4724f6e33471f5ff | [
"Apache-2.0"
] | 1 | 2020-03-03T15:47:52.000Z | 2020-03-03T15:47:52.000Z | from celery import shared_task
from django.conf import settings
from rgd.tasks import helpers
@shared_task(time_limit=settings.CELERY_TASK_TIME_LIMIT)
def task_read_mesh_3d_file(pc_file_pk):
from rgd_3d.models import Mesh3D
from .etl import read_mesh_3d_file
pc_file = Mesh3D.objects.get(pk=pc_file_pk)
... | 30.375 | 87 | 0.81893 |
793f114feffb6c289f02087c1bbc337882a29f15 | 21,057 | py | Python | test/commands/extended/get_inputs_test.py | plenarius/iota.lib.py | ac6167dadb8b60a64b33eeb9db755be32c7cef12 | [
"MIT"
] | 2 | 2018-02-21T12:04:41.000Z | 2018-04-01T18:56:18.000Z | test/commands/extended/get_inputs_test.py | plenarius/iota.lib.py | ac6167dadb8b60a64b33eeb9db755be32c7cef12 | [
"MIT"
] | null | null | null | test/commands/extended/get_inputs_test.py | plenarius/iota.lib.py | ac6167dadb8b60a64b33eeb9db755be32c7cef12 | [
"MIT"
] | 3 | 2018-02-19T09:35:44.000Z | 2018-04-01T19:16:26.000Z | # coding=utf-8
from __future__ import absolute_import, division, print_function, \
unicode_literals
from unittest import TestCase
import filters as f
from filters.test import BaseFilterTestCase
from iota import Address, BadApiResponse, Iota, TransactionHash
from iota.adapter import MockAdapter
from iota.commands.e... | 25.64799 | 77 | 0.615662 |
793f11a323c838c9c22bb59415e95e956ce554ee | 3,679 | py | Python | lino/sandbox/bcss/test2.py | NewRGB/lino | 43799e42107169ff173d3b8bc0324d5773471499 | [
"BSD-2-Clause"
] | 1 | 2019-11-13T19:38:50.000Z | 2019-11-13T19:38:50.000Z | lino/sandbox/bcss/test2.py | khchine5/lino | 64f7ca9c9b83459b5b9f26174e5e3c26a137459d | [
"BSD-2-Clause"
] | null | null | null | lino/sandbox/bcss/test2.py | khchine5/lino | 64f7ca9c9b83459b5b9f26174e5e3c26a137459d | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: UTF-8 -*-
u"""
Send a SOAP request to the :term: `BCSS` server
using Dave Kuhlmann's :term:`generateDS` (version 2.6a).
Continued from :mod:`lino.sandbox.bcss.test`.
File :file:`SSDNRequest.py` has been modified manually
for <any> support according to Dave's instructions.
When running this script you n... | 27.661654 | 78 | 0.686056 |
793f11c62f9f5f0a4337cd125a7bf924a6ddd631 | 46,402 | py | Python | pandas/tests/io/excel/test_writers.py | quanghm/pandas | 4441b3361998168a9f3621aae067a9d5b050516d | [
"BSD-3-Clause"
] | 1 | 2019-12-04T21:29:15.000Z | 2019-12-04T21:29:15.000Z | pandas/tests/io/excel/test_writers.py | quanghm/pandas | 4441b3361998168a9f3621aae067a9d5b050516d | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/io/excel/test_writers.py | quanghm/pandas | 4441b3361998168a9f3621aae067a9d5b050516d | [
"BSD-3-Clause"
] | null | null | null | from datetime import date, datetime, timedelta
from functools import partial
from io import BytesIO
import os
import numpy as np
import pytest
from pandas.compat import PY36
import pandas.util._test_decorators as td
import pandas as pd
from pandas import DataFrame, Index, MultiIndex, get_option, set_option
import pa... | 36.251563 | 88 | 0.569329 |
793f134743c6e9f10011a85535c64afbd76dafc4 | 9,429 | py | Python | models/layers/mesh_pool.py | KathaRies/MeshCNN | be73736890c49d175cde80830a28352946e23611 | [
"MIT"
] | null | null | null | models/layers/mesh_pool.py | KathaRies/MeshCNN | be73736890c49d175cde80830a28352946e23611 | [
"MIT"
] | null | null | null | models/layers/mesh_pool.py | KathaRies/MeshCNN | be73736890c49d175cde80830a28352946e23611 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from threading import Thread
from MeshCNN.models.layers.mesh_union import MeshUnion
import numpy as np
from heapq import heappop, heapify
class MeshPool(nn.Module):
def __init__(self, target, multi_thread=False):
super(MeshPool, self).__init__()
self.__out_targe... | 42.09375 | 99 | 0.616608 |
793f14cc4fbfc1d4bf66467bdeab0c9602c83876 | 8,488 | py | Python | python/plugin/grad_shafranov.py | NegriLuca/pigasus | d5057b771f81cfa05bb08ea4b0fd99088150cd7a | [
"MIT"
] | 1 | 2021-10-21T17:15:26.000Z | 2021-10-21T17:15:26.000Z | python/plugin/grad_shafranov.py | NegriLuca/pigasus | d5057b771f81cfa05bb08ea4b0fd99088150cd7a | [
"MIT"
] | null | null | null | python/plugin/grad_shafranov.py | NegriLuca/pigasus | d5057b771f81cfa05bb08ea4b0fd99088150cd7a | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
#!/usr/bin/env python
import numpy as np
from sympy import *
from sympy.matrices import *
from scipy.optimize import root
from matplotlib import pyplot as plt
from scipy.integrate import quad
#from poisson_nonlin import poisson_picard as PDE_picard
#__all__ = ['genPoints', 'genFigure', 'genDo... | 28.38796 | 100 | 0.441447 |
793f15eaf6f3343a2197c422e4d07ee2591e0b19 | 2,797 | py | Python | setup.py | dougPhilips/python-seleniumpm | 4ddff760cd4486bfd48efdb77e33fb4574dc0e5d | [
"Apache-2.0"
] | 2 | 2020-01-13T14:41:08.000Z | 2020-01-29T10:21:04.000Z | setup.py | dougPhilips/python-seleniumpm | 4ddff760cd4486bfd48efdb77e33fb4574dc0e5d | [
"Apache-2.0"
] | 1 | 2018-05-29T14:47:55.000Z | 2018-05-29T14:47:55.000Z | setup.py | dougPhilips/python-seleniumpm | 4ddff760cd4486bfd48efdb77e33fb4574dc0e5d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import os
import re
import sys
from codecs import open
# from distutils.core import setup
from setuptools import setup
from setuptools.command.test import test as TestCommand
class PyTest(TestCommand):
user_options = [('pytest-args=', 'a', "Arguments to pass into py.test")]
def initi... | 31.426966 | 105 | 0.643547 |
793f166fb7139249a2431c93cf6b711a8cf1984c | 4,726 | py | Python | awswrangler/_utils.py | mbeacom/aws-data-wrangler | 2e018ec3d0d2eaf073f759be65cfd75ee2bdce10 | [
"Apache-2.0"
] | null | null | null | awswrangler/_utils.py | mbeacom/aws-data-wrangler | 2e018ec3d0d2eaf073f759be65cfd75ee2bdce10 | [
"Apache-2.0"
] | null | null | null | awswrangler/_utils.py | mbeacom/aws-data-wrangler | 2e018ec3d0d2eaf073f759be65cfd75ee2bdce10 | [
"Apache-2.0"
] | null | null | null | """Internal (private) Utilities Module."""
import logging
import math
import os
from typing import Any, Dict, Generator, List, Optional, Tuple
import boto3 # type: ignore
import botocore.config # type: ignore
import numpy as np # type: ignore
import psycopg2 # type: ignore
import s3fs # type: ignore
logger: log... | 29.17284 | 110 | 0.636479 |
793f16d137e3d92249c3ab3f63fd587fc84dc916 | 10,479 | py | Python | StandardDataSets/1_5/collada/library_formulas/formula/multi_formula/multi_formula.py | KhronosGroup/COLLADA-CTS | 61f2a560cbb2a06ee62da8025241f6b08d06bfd9 | [
"MIT"
] | 20 | 2015-03-19T08:02:57.000Z | 2020-10-16T15:16:11.000Z | StandardDataSets/1_5/collada/library_formulas/formula/multi_formula/multi_formula.py | Acidburn0zzz/COLLADA-CTS | 39a36188cf8710bbc003df43ed70b965eb4386bd | [
"MIT"
] | 4 | 2017-04-19T18:42:05.000Z | 2017-06-17T03:03:28.000Z | StandardDataSets/1_5/collada/library_formulas/formula/multi_formula/multi_formula.py | Acidburn0zzz/COLLADA-CTS | 39a36188cf8710bbc003df43ed70b965eb4386bd | [
"MIT"
] | 10 | 2015-03-26T02:52:24.000Z | 2022-02-24T08:43:48.000Z |
# Copyright (c) 2012 The Khronos Group Inc.
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and /or associated documentation files (the "Materials "), to deal in the Materials without restriction, including without limitation the rights to use, copy, modify, merge, publ... | 54.578125 | 467 | 0.672583 |
793f1705a54f2706f329ff204674ee2afef842ae | 9,690 | py | Python | fhir/resources/STU3/endpoint.py | chgl/fhir.resources | 35b22314642640c0b25960ab5b2855e7c51749ef | [
"BSD-3-Clause"
] | null | null | null | fhir/resources/STU3/endpoint.py | chgl/fhir.resources | 35b22314642640c0b25960ab5b2855e7c51749ef | [
"BSD-3-Clause"
] | null | null | null | fhir/resources/STU3/endpoint.py | chgl/fhir.resources | 35b22314642640c0b25960ab5b2855e7c51749ef | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/Endpoint
Release: STU3
Version: 3.0.2
Revision: 11917
Last updated: 2019-10-24T11:53:00+11:00
"""
import typing
from pydantic import Field, root_validator
from pydantic.error_wrappers import ErrorWrapper, ValidationError
from pydantic.errors ... | 39.713115 | 93 | 0.616512 |
793f17b586efd56a280155231d7a9545ba3fc0bc | 13,393 | py | Python | xcube/core/store/storepool.py | dcs4cop/xcube | c615df539d286d3adbd588886659602487bf5efa | [
"MIT"
] | 97 | 2018-06-26T13:02:55.000Z | 2022-03-26T21:03:13.000Z | xcube/core/store/storepool.py | dcs4cop/xcube | c615df539d286d3adbd588886659602487bf5efa | [
"MIT"
] | 524 | 2018-11-09T12:00:08.000Z | 2022-03-31T17:00:13.000Z | xcube/core/store/storepool.py | dcs4cop/xcube | c615df539d286d3adbd588886659602487bf5efa | [
"MIT"
] | 15 | 2019-07-09T08:46:03.000Z | 2022-02-07T18:47:34.000Z | # The MIT License (MIT)
# Copyright (c) 2021 by the xcube development team and contributors
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation... | 37.620787 | 81 | 0.656164 |
793f181ddde1a6f6da053fd3c531f8ac30573c89 | 18,553 | py | Python | masters/master.chromium.lkgr/master_lkgr_cfg.py | yjbanov/chromium_build | 22e3872f14dbf367cd787caa638f3ac948eac7d7 | [
"BSD-3-Clause"
] | null | null | null | masters/master.chromium.lkgr/master_lkgr_cfg.py | yjbanov/chromium_build | 22e3872f14dbf367cd787caa638f3ac948eac7d7 | [
"BSD-3-Clause"
] | null | null | null | masters/master.chromium.lkgr/master_lkgr_cfg.py | yjbanov/chromium_build | 22e3872f14dbf367cd787caa638f3ac948eac7d7 | [
"BSD-3-Clause"
] | 1 | 2020-07-23T11:05:06.000Z | 2020-07-23T11:05:06.000Z | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from master import gitiles_poller
from master import master_config
from master.factory import annotator_factory
from master.factory import chromium_facto... | 41.04646 | 118 | 0.65957 |
793f18ceaeedbcf29e81fc01885ef9e83ce200fd | 394 | py | Python | jobs/49-kafka-producer.py | Parthi10/Pyspark | a7943010f2af768d33051e09979c892c02bf0610 | [
"MIT"
] | 7 | 2019-03-14T04:50:47.000Z | 2020-02-04T14:04:33.000Z | jobs/49-kafka-producer.py | Ranjan90/learn-pyspark | 91152497eb733c3cf53ffa910dc9fc3948b01ad1 | [
"MIT"
] | null | null | null | jobs/49-kafka-producer.py | Ranjan90/learn-pyspark | 91152497eb733c3cf53ffa910dc9fc3948b01ad1 | [
"MIT"
] | 4 | 2019-12-04T18:24:56.000Z | 2022-02-14T15:56:19.000Z | # kafka lessons, using kafka-python module
# pip3 install kafka-python
from kafka import KafkaProducer, KafkaConsumer, TopicPartition
from time import sleep
from json import dumps
producer=KafkaProducer(bootstrap_servers=['localhost:9092'],value_serializer=lambda x:dumps(x).encode('utf-8'))
for e in range(1000):
... | 30.307692 | 111 | 0.758883 |
793f1999021f052b64f7bf18f16dbb33f5708b5a | 27,448 | py | Python | ai/models/pytorch/boundingBoxes/retinanet.py | junxnone/aerial_wildlife_detection | 0eebed2aaf926ceb212b6a2b7a75bb0a82b28a88 | [
"MIT"
] | 1 | 2021-04-26T22:50:52.000Z | 2021-04-26T22:50:52.000Z | ai/models/pytorch/boundingBoxes/retinanet.py | junxnone/aerial_wildlife_detection | 0eebed2aaf926ceb212b6a2b7a75bb0a82b28a88 | [
"MIT"
] | null | null | null | ai/models/pytorch/boundingBoxes/retinanet.py | junxnone/aerial_wildlife_detection | 0eebed2aaf926ceb212b6a2b7a75bb0a82b28a88 | [
"MIT"
] | 2 | 2021-04-15T17:26:40.000Z | 2021-04-15T17:26:53.000Z | '''
RetinaNet trainer for PyTorch.
2019-20 Benjamin Kellenberger
'''
import io
import json
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
from ..genericPyTorchModel import GenericPyTorchModel
from .. import parse_transforms
from ..functional._retinanet import DEFAULT_OPTIONS, col... | 48.323944 | 183 | 0.580771 |
793f1a535385e33397327f9f0c80090845ea1172 | 5,365 | py | Python | dna_features_viewer/GraphicRecord/BokehPlottableMixin.py | ATayls/DnaFeaturesViewer | 6ace5cdff96bf995aa26167868b0dbb47f5f5952 | [
"MIT"
] | 1 | 2020-12-12T16:55:58.000Z | 2020-12-12T16:55:58.000Z | dna_features_viewer/GraphicRecord/BokehPlottableMixin.py | ATayls/DnaFeaturesViewer | 6ace5cdff96bf995aa26167868b0dbb47f5f5952 | [
"MIT"
] | null | null | null | dna_features_viewer/GraphicRecord/BokehPlottableMixin.py | ATayls/DnaFeaturesViewer | 6ace5cdff96bf995aa26167868b0dbb47f5f5952 | [
"MIT"
] | null | null | null | try:
from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import Range1d, HoverTool
BOKEH_AVAILABLE = True
except ImportError:
BOKEH_AVAILABLE = False
try:
import pandas as pd
PANDAS_AVAILABLE = True
except ImportError:
PANDAS_AVAILABLE = False
import matplotlib.pyplot a... | 30.657143 | 85 | 0.440261 |
793f1aeac96ebabef7debb23b3e338780abe24d6 | 4,456 | py | Python | source/conf.py | zozer/Denizen-Beginners-Guide | a98bcdcaf19c3aa1e4e07b18e703f679d5d04001 | [
"MIT"
] | 1 | 2022-01-25T17:07:56.000Z | 2022-01-25T17:07:56.000Z | source/conf.py | Hydroxycobalamin/Denizen-Beginners-Guide | a98bcdcaf19c3aa1e4e07b18e703f679d5d04001 | [
"MIT"
] | null | null | null | source/conf.py | Hydroxycobalamin/Denizen-Beginners-Guide | a98bcdcaf19c3aa1e4e07b18e703f679d5d04001 | [
"MIT"
] | null | null | null | # for custom dScript lexer
from pygments.lexer import RegexLexer, include
from pygments import token
from sphinx.highlighting import lexers
# for markdown support
import recommonmark
from recommonmark.transform import AutoStructify
# Project Info
project = "Denizen Beginner's Guide"
copyright = '2019-2022 The Denizen... | 39.087719 | 104 | 0.494614 |
793f1ba0d7a2bbcded8640df566a00d926bcf53b | 1,140 | py | Python | kaaf/generate-example.py | itdagene-ntnu/kvittering | 86b308f77957214d726efdcae6f6f63491fb73ed | [
"MIT"
] | null | null | null | kaaf/generate-example.py | itdagene-ntnu/kvittering | 86b308f77957214d726efdcae6f6f63491fb73ed | [
"MIT"
] | null | null | null | kaaf/generate-example.py | itdagene-ntnu/kvittering | 86b308f77957214d726efdcae6f6f63491fb73ed | [
"MIT"
] | null | null | null | import argparse
import base64
from handler import create_pdf, modify_data
default_data = {
"date": "11-03-2020",
"amount": "153 kr",
"name": "Lar",
"accountNumber": "010101010101",
"group": "Bankett",
"occasion": "Teste litt",
"comment": "pls",
}
def main(data, out):
data = modify_da... | 22.8 | 78 | 0.614035 |
793f1bbb6691bde58493df5c316ec4a1cea26b84 | 3,395 | py | Python | tests/frontend_api/test_dropout.py | MUTTERSCHIFF/ngraph-neon | 762e8ea639cdc671311ee4929bd1ee8cdf83e8bb | [
"Apache-2.0"
] | 13 | 2018-03-17T00:27:18.000Z | 2020-06-18T01:36:34.000Z | tests/frontend_api/test_dropout.py | MUTTERSCHIFF/ngraph-neon | 762e8ea639cdc671311ee4929bd1ee8cdf83e8bb | [
"Apache-2.0"
] | 20 | 2018-03-17T14:49:04.000Z | 2018-04-19T17:47:38.000Z | tests/frontend_api/test_dropout.py | NervanaSystems/ngraph-neon | 8988ab90ee81c8b219ea5c374702e56d7f383302 | [
"Apache-2.0"
] | 5 | 2018-03-23T22:47:17.000Z | 2020-10-21T16:15:02.000Z | # ******************************************************************************
# Copyright 2014-2018 Intel Corporation
#
# 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.apa... | 31.146789 | 80 | 0.617968 |
793f1d4ad9be684cc95190eb52f100b48762750c | 180 | py | Python | Strings/1632.py | LorranSutter/URI-Online-Judge | aef885b9a7caa83484cf172e29eea8ec92fc3627 | [
"MIT"
] | null | null | null | Strings/1632.py | LorranSutter/URI-Online-Judge | aef885b9a7caa83484cf172e29eea8ec92fc3627 | [
"MIT"
] | null | null | null | Strings/1632.py | LorranSutter/URI-Online-Judge | aef885b9a7caa83484cf172e29eea8ec92fc3627 | [
"MIT"
] | null | null | null | three = ['A', 'E', 'I', 'O', 'S', 'a', 'e', 'i', 'o', 's']
for k in range(int(input())):
res = 1
for w in input():
if w in three:
res *= 3
else:
res *= 2
print(res)
| 15 | 58 | 0.438889 |
793f1e8f6c80710317409b148a236e3460db2f6d | 7,482 | py | Python | mppsolar/protocols/jkabstractprotocol.py | trixing/mpp-solar | 52ccb79776dae2430437fb96c7870cdb31ab0aa5 | [
"MIT"
] | null | null | null | mppsolar/protocols/jkabstractprotocol.py | trixing/mpp-solar | 52ccb79776dae2430437fb96c7870cdb31ab0aa5 | [
"MIT"
] | null | null | null | mppsolar/protocols/jkabstractprotocol.py | trixing/mpp-solar | 52ccb79776dae2430437fb96c7870cdb31ab0aa5 | [
"MIT"
] | null | null | null | import logging
import struct
from .abstractprotocol import AbstractProtocol
from .protocol_helpers import crc8
log = logging.getLogger("jkAbstractProtocol")
SOR = bytes.fromhex("55aaeb90")
COMMANDS = {
"getInfo": {
"name": "getInfo",
"command_code": "97",
"record_type": "3",
"de... | 42.754286 | 618 | 0.59984 |
793f1f17cdb1e1992aa6cbbe20efaf0c63bc962d | 7,115 | py | Python | nova/virt/libvirt/designer.py | gyliu513/nova | 14e974a5f77c72a9bb44c6801746abb2eda8e91d | [
"Apache-2.0"
] | 1 | 2019-11-07T03:11:37.000Z | 2019-11-07T03:11:37.000Z | nova/virt/libvirt/designer.py | gyliu513/nova | 14e974a5f77c72a9bb44c6801746abb2eda8e91d | [
"Apache-2.0"
] | null | null | null | nova/virt/libvirt/designer.py | gyliu513/nova | 14e974a5f77c72a9bb44c6801746abb2eda8e91d | [
"Apache-2.0"
] | 1 | 2021-01-11T04:07:52.000Z | 2021-01-11T04:07:52.000Z | # Copyright (C) 2013 Red Hat, 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 ... | 33.247664 | 78 | 0.683767 |
793f1f92a023de607058fa0c23401ce8f56710a5 | 1,186 | py | Python | src/dialogs/statisticDialog.py | Alopex4/spruce | 2bf0bae18fe9b0d13691f2ee926071635cbe7c6f | [
"MIT"
] | 1 | 2019-07-04T10:32:07.000Z | 2019-07-04T10:32:07.000Z | src/dialogs/statisticDialog.py | Alopex4/spruce | 2bf0bae18fe9b0d13691f2ee926071635cbe7c6f | [
"MIT"
] | null | null | null | src/dialogs/statisticDialog.py | Alopex4/spruce | 2bf0bae18fe9b0d13691f2ee926071635cbe7c6f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from PyQt5 import QtWidgets
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import \
NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
class StatisticDialog(Q... | 29.65 | 80 | 0.687184 |
793f1fe8577bea5ecfff49dc479bb6daedf262b0 | 46,285 | py | Python | wrappers/trace.py | Joshua-Ashton/apitrace | 2353c8654941f6c599183287a7235a91ee83c038 | [
"MIT"
] | 47 | 2020-11-08T15:20:49.000Z | 2021-08-16T01:41:49.000Z | wrappers/trace.py | Joshua-Ashton/apitrace | 2353c8654941f6c599183287a7235a91ee83c038 | [
"MIT"
] | null | null | null | wrappers/trace.py | Joshua-Ashton/apitrace | 2353c8654941f6c599183287a7235a91ee83c038 | [
"MIT"
] | 1 | 2020-11-18T06:37:31.000Z | 2020-11-18T06:37:31.000Z | ##########################################################################
#
# Copyright 2008-2010 VMware, Inc.
# All Rights Reserved.
#
# 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... | 41.886878 | 186 | 0.554024 |
793f20d12b8a9c08ade34dc804b61036c60f49ba | 180 | py | Python | Lectures_Codes/examples-05/lecture05/own_exception.py | MichalKyjovsky/NPRG065_Programing_in_Python | 14436fbf8f0e547ab084083135a84c8ae49e083c | [
"MIT"
] | null | null | null | Lectures_Codes/examples-05/lecture05/own_exception.py | MichalKyjovsky/NPRG065_Programing_in_Python | 14436fbf8f0e547ab084083135a84c8ae49e083c | [
"MIT"
] | null | null | null | Lectures_Codes/examples-05/lecture05/own_exception.py | MichalKyjovsky/NPRG065_Programing_in_Python | 14436fbf8f0e547ab084083135a84c8ae49e083c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
class MyException(Exception):
pass
def foo():
raise MyException
try:
foo()
except MyException:
print('MyException occurred')
raise
| 10.588235 | 33 | 0.661111 |
793f20e0419588065fc50db89767482d8e304723 | 395 | py | Python | scripting/asgi.py | Kgermando/es-script | f1b10ecf2c805e8875a025e7033c724e236f6cd1 | [
"Apache-2.0"
] | null | null | null | scripting/asgi.py | Kgermando/es-script | f1b10ecf2c805e8875a025e7033c724e236f6cd1 | [
"Apache-2.0"
] | null | null | null | scripting/asgi.py | Kgermando/es-script | f1b10ecf2c805e8875a025e7033c724e236f6cd1 | [
"Apache-2.0"
] | null | null | null | """
ASGI config for scripting project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SET... | 23.235294 | 78 | 0.787342 |
793f20e70eecdb8eac8a88f8342dcadd5572ed6e | 4,023 | py | Python | trainTripleClassification.py | lualiu/GanforKGE | 29f68704cda5e58501c1ded635cd3ecae936d4bb | [
"Apache-2.0"
] | null | null | null | trainTripleClassification.py | lualiu/GanforKGE | 29f68704cda5e58501c1ded635cd3ecae936d4bb | [
"Apache-2.0"
] | null | null | null | trainTripleClassification.py | lualiu/GanforKGE | 29f68704cda5e58501c1ded635cd3ecae936d4bb | [
"Apache-2.0"
] | null | null | null | import argparse
import os
from preprocess.TripleClassificationData import TripleClassificationData
from train.TrainTripleClassification import TrainTripleClassifcation
from utils.readmodel import *
os.environ["CUDA_VISIBLE_DEVICES"] = '3'
FLAGS = None
def main(FLAGS):
data = TripleClassificationData(
os.p... | 38.314286 | 124 | 0.706189 |
793f21c96ec032a51fe3251e0e20e4ab3d18ae85 | 391 | py | Python | ToDoApp/ToDoApp/asgi.py | AldarKose-dev/ToDoApp | 38a74cf89245c829f7bfdb9beedc7a1c5effeb16 | [
"MIT"
] | null | null | null | ToDoApp/ToDoApp/asgi.py | AldarKose-dev/ToDoApp | 38a74cf89245c829f7bfdb9beedc7a1c5effeb16 | [
"MIT"
] | null | null | null | ToDoApp/ToDoApp/asgi.py | AldarKose-dev/ToDoApp | 38a74cf89245c829f7bfdb9beedc7a1c5effeb16 | [
"MIT"
] | null | null | null | """
ASGI config for ToDoApp project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/4.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTI... | 23 | 78 | 0.785166 |
793f2291de3c441ac9051fa9398c71f78ea830b0 | 7,269 | py | Python | scheduled_bots/geneprotein/__init__.py | gtsueng/scheduled-bots | e041905e4c5bf4e25d348474575cce91f78a0733 | [
"MIT"
] | 6 | 2017-05-04T01:04:26.000Z | 2022-03-04T12:22:17.000Z | scheduled_bots/geneprotein/__init__.py | gtsueng/scheduled-bots | e041905e4c5bf4e25d348474575cce91f78a0733 | [
"MIT"
] | 55 | 2017-03-14T21:16:44.000Z | 2022-03-02T12:39:14.000Z | scheduled_bots/geneprotein/__init__.py | gtsueng/scheduled-bots | e041905e4c5bf4e25d348474575cce91f78a0733 | [
"MIT"
] | 13 | 2017-02-10T21:40:06.000Z | 2022-01-18T01:27:52.000Z | #########
# Helper functions
#########
type_of_gene_map = {'ncRNA': 'Q427087',
'snRNA': 'Q284578',
'snoRNA': 'Q284416',
'rRNA': 'Q215980',
'tRNA': 'Q201448',
'pseudo': 'Q277338',
'protein-coding': 'Q7... | 28.505882 | 101 | 0.448342 |
793f2295752c3d0f0e9672042e24426226712328 | 232 | py | Python | python/exercise/gcd.py | kindrabbit/programming | 2c9b7e24e33ecc174c2efb51727b3886ebc00acf | [
"Apache-2.0"
] | 1 | 2021-01-24T02:07:34.000Z | 2021-01-24T02:07:34.000Z | python/exercise/gcd.py | kindrabbit/programming | 2c9b7e24e33ecc174c2efb51727b3886ebc00acf | [
"Apache-2.0"
] | null | null | null | python/exercise/gcd.py | kindrabbit/programming | 2c9b7e24e33ecc174c2efb51727b3886ebc00acf | [
"Apache-2.0"
] | null | null | null | def gcd(x,y):
if x > y:
divisor = y
else:
divisor = x
while divisor > 0:
if x % divisor == 0 and y % divisor == 0:
break
divisor -= 1
return divisor
print(gcd(15600,2400)) | 19.333333 | 49 | 0.478448 |
793f245481588dd838d9f16d2a0e180aa6749262 | 2,894 | py | Python | src/model/speech2gesture.py | chahuja/mix-stage | 6f47626ce46bd9b28c45d1255b328b17b3650c4f | [
"MIT"
] | 16 | 2020-07-14T10:13:59.000Z | 2022-03-23T09:28:42.000Z | src/model/speech2gesture.py | chahuja/mix-stage | 6f47626ce46bd9b28c45d1255b328b17b3650c4f | [
"MIT"
] | 6 | 2020-11-16T09:21:02.000Z | 2021-10-04T17:02:33.000Z | src/model/speech2gesture.py | chahuja/mix-stage | 6f47626ce46bd9b28c45d1255b328b17b3650c4f | [
"MIT"
] | 4 | 2020-08-23T20:05:13.000Z | 2021-08-09T16:30:12.000Z | import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import pdb
from .layers import *
import torch
import torch.nn as nn
class Speech2Gesture_G(nn.Module):
'''
Baseline: http://people.eecs.berkeley.edu/~shir... | 38.078947 | 120 | 0.637526 |
793f24cff86942dc36718fb5ed92cbac0dcaf179 | 626 | py | Python | migrations/versions/2020_07_25_6f1c5993e9f0_remove_sticker_id.py | annihilatorrrr/sticker-finder | 873468f8de26cc32d1de9b688140569b8086ab5b | [
"MIT"
] | 82 | 2018-11-13T05:39:44.000Z | 2022-01-18T17:08:44.000Z | migrations/versions/2020_07_25_6f1c5993e9f0_remove_sticker_id.py | annihilatorrrr/sticker-finder | 873468f8de26cc32d1de9b688140569b8086ab5b | [
"MIT"
] | 25 | 2018-12-02T18:45:52.000Z | 2022-03-21T22:54:19.000Z | migrations/versions/2020_07_25_6f1c5993e9f0_remove_sticker_id.py | annihilatorrrr/sticker-finder | 873468f8de26cc32d1de9b688140569b8086ab5b | [
"MIT"
] | 23 | 2019-01-22T20:04:50.000Z | 2022-02-01T14:57:28.000Z | """Remove sticker.id
Revision ID: 6f1c5993e9f0
Revises: ad326c5b7733
Create Date: 2020-07-25 16:37:23.543659
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "6f1c5993e9f0"
down_revision = "ad326c5b7733"
branch_labels = None
depends_on = None
def upgrade():
... | 18.411765 | 74 | 0.629393 |
793f253100b05f175a0c76f64ae9385c8b7135b7 | 12,500 | py | Python | neural_sp/models/lm/transformer_xl.py | ishine/neural_sp | 7995613541d994976b00d80dcc12e2835163acfb | [
"Apache-2.0"
] | 577 | 2018-09-17T14:39:34.000Z | 2022-03-29T10:48:09.000Z | neural_sp/models/lm/transformer_xl.py | ishine/neural_sp | 7995613541d994976b00d80dcc12e2835163acfb | [
"Apache-2.0"
] | 221 | 2019-04-21T01:44:09.000Z | 2022-02-10T02:08:47.000Z | neural_sp/models/lm/transformer_xl.py | ishine/neural_sp | 7995613541d994976b00d80dcc12e2835163acfb | [
"Apache-2.0"
] | 139 | 2019-01-09T02:18:00.000Z | 2022-03-29T07:40:08.000Z | # Copyright 2020 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""TransformerXL language model."""
import copy
import logging
import math
import os
import random
import shutil
import torch
import torch.nn as nn
from neural_sp.models.lm.lm_base import LMBase
from neur... | 40.453074 | 106 | 0.59584 |
793f26338078051928fc23f06a3e2202d7db0e95 | 3,346 | py | Python | test/infrastructure/dns_server/servers_test.py | sasjafor/scion | cdcbd186d1350ad78f365556b771ada522bd33ed | [
"Apache-2.0"
] | 1 | 2018-03-18T14:46:34.000Z | 2018-03-18T14:46:34.000Z | test/infrastructure/dns_server/servers_test.py | sasjafor/scion | cdcbd186d1350ad78f365556b771ada522bd33ed | [
"Apache-2.0"
] | null | null | null | test/infrastructure/dns_server/servers_test.py | sasjafor/scion | cdcbd186d1350ad78f365556b771ada522bd33ed | [
"Apache-2.0"
] | 1 | 2018-03-14T14:59:57.000Z | 2018-03-14T14:59:57.000Z | # Copyright 2015 ETH Zurich
#
# 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, sof... | 35.978495 | 76 | 0.711297 |
793f2684c93a63e4fb9e1cee2a0469da29b5c593 | 5,223 | py | Python | w2v_cnn+lstm.py | mosalen/Keras-Spam-Detection-with-CNN-W2V | 0a2660c50de1d6e37175b30b3e45689bce8aa58c | [
"MIT"
] | null | null | null | w2v_cnn+lstm.py | mosalen/Keras-Spam-Detection-with-CNN-W2V | 0a2660c50de1d6e37175b30b3e45689bce8aa58c | [
"MIT"
] | null | null | null | w2v_cnn+lstm.py | mosalen/Keras-Spam-Detection-with-CNN-W2V | 0a2660c50de1d6e37175b30b3e45689bce8aa58c | [
"MIT"
] | null | null | null | #coding:utf-8
import sys
import keras
VECTOR_DIR = 'D:/TBdata/baike26g_news13g_novel229g_128.bin'
#'D:/first/text_classification/wiki.zh.vector.bin'
MAX_SEQUENCE_LENGTH = 200
EMBEDDING_DIM = 128
VALIDATION_SPLIT = 0.2
TEST_SPLIT = 0.2
print ('(1) load texts...')
train_texts = open('D:/TBdata/我的语料库/random/01/traint... | 31.089286 | 106 | 0.712809 |
793f2706c65bbcbfde7e2cff5dd24f6cc2654e34 | 3,162 | py | Python | life/button.py | DavidY-Li/cell-life | 8fd38331f4f917cad787766676311615def8c8c7 | [
"MIT"
] | 2 | 2021-03-05T01:26:57.000Z | 2021-03-05T02:37:06.000Z | life/button.py | DavidY-Li/cell-life | 8fd38331f4f917cad787766676311615def8c8c7 | [
"MIT"
] | null | null | null | life/button.py | DavidY-Li/cell-life | 8fd38331f4f917cad787766676311615def8c8c7 | [
"MIT"
] | null | null | null | import pygame
# Button class for easier generation of buttons
class Button:
def __init__(
self,
primary,
hover_color,
x,
y,
width,
height,
text,
font=18,
padding=13,
secondary_text="",
on_click=None,
font_colo... | 30.114286 | 74 | 0.485136 |
793f274382c8aa2f9665f22640fe90d51f2872ba | 10,414 | py | Python | make_postcards.py | BoiseStatePlanetary/eleanor | 823cfb8e9972b0600cfe20e6a66b5956a9a177d5 | [
"MIT"
] | null | null | null | make_postcards.py | BoiseStatePlanetary/eleanor | 823cfb8e9972b0600cfe20e6a66b5956a9a177d5 | [
"MIT"
] | null | null | null | make_postcards.py | BoiseStatePlanetary/eleanor | 823cfb8e9972b0600cfe20e6a66b5956a9a177d5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function
__all__ = ["make_postcards"]
import os
import glob
import tqdm
import fitsio
import numpy as np
from time import strftime
from astropy.wcs import WCS
from astropy.table import Table
from astropy.stats import SigmaClip
from ... | 39.44697 | 107 | 0.561456 |
793f2756b9c7d0b9d69bd4021c55367ec6d1eb26 | 12,514 | py | Python | lumin/nn/metrics/reg_eval.py | matthewfeickert/lumin | 00c5f9f3d8a630d780ce09017ff13eb27485534c | [
"Apache-2.0"
] | null | null | null | lumin/nn/metrics/reg_eval.py | matthewfeickert/lumin | 00c5f9f3d8a630d780ce09017ff13eb27485534c | [
"Apache-2.0"
] | null | null | null | lumin/nn/metrics/reg_eval.py | matthewfeickert/lumin | 00c5f9f3d8a630d780ce09017ff13eb27485534c | [
"Apache-2.0"
] | null | null | null | import numpy as np
from typing import Optional, Callable
import pandas as pd
from statsmodels.stats.weightstats import DescrStatsW
from fastcore.all import store_attr
from ...utils.statistics import bootstrap_stats
from .eval_metric import EvalMetric, OldEvalMetric
from ..data.fold_yielder import FoldYielder
__all__ ... | 47.222642 | 154 | 0.644398 |
793f276e9e9b3130b7c530884a8d4c02b75c072d | 14,772 | py | Python | src/google/appengine/api/mail_service_pb2.py | asriniva/appengine-python-standard | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | [
"Apache-2.0"
] | 28 | 2021-01-06T19:55:21.000Z | 2022-03-28T09:41:08.000Z | src/google/appengine/api/mail_service_pb2.py | asriniva/appengine-python-standard | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | [
"Apache-2.0"
] | 13 | 2021-06-17T09:38:17.000Z | 2022-03-11T01:12:33.000Z | src/google/appengine/api/mail_service_pb2.py | asriniva/appengine-python-standard | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | [
"Apache-2.0"
] | 28 | 2021-03-09T19:27:37.000Z | 2022-01-21T21:18:52.000Z | #!/usr/bin/env python
#
# Copyright 2007 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... | 41.728814 | 1,275 | 0.752031 |
793f2818c34a262f9f300b0a7458aac23aee1372 | 1,485 | py | Python | indico/modules/events/registration/models/legacy_mapping.py | bkmgit/indico | d77ee121e35880a416b9b05e6098ea912d870b5c | [
"MIT"
] | 1 | 2021-06-11T20:02:10.000Z | 2021-06-11T20:02:10.000Z | indico/modules/events/registration/models/legacy_mapping.py | bkmgit/indico | d77ee121e35880a416b9b05e6098ea912d870b5c | [
"MIT"
] | null | null | null | indico/modules/events/registration/models/legacy_mapping.py | bkmgit/indico | d77ee121e35880a416b9b05e6098ea912d870b5c | [
"MIT"
] | null | null | null | # This file is part of Indico.
# Copyright (C) 2002 - 2022 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from indico.core.db import db
from indico.util.string import format_repr
class LegacyRegistrationMapping... | 26.052632 | 112 | 0.642424 |
793f2b848c3758a8f7dae311e7d721594f8e8f09 | 3,424 | py | Python | setup.py | HEmile/problog | 576b6fd305f72b12125111c8d4d62cf8a7bbda0f | [
"Apache-2.0"
] | 189 | 2019-05-27T08:20:10.000Z | 2022-03-28T09:29:22.000Z | setup.py | HEmile/problog | 576b6fd305f72b12125111c8d4d62cf8a7bbda0f | [
"Apache-2.0"
] | 60 | 2019-06-11T15:07:48.000Z | 2022-03-25T02:31:23.000Z | setup.py | HEmile/problog | 576b6fd305f72b12125111c8d4d62cf8a7bbda0f | [
"Apache-2.0"
] | 33 | 2019-07-03T13:14:24.000Z | 2022-02-20T01:07:15.000Z | #! /usr/bin/env python
import sys
import os
version_file = os.path.join(
os.path.abspath(os.path.dirname(__file__)), "problog/version.py"
)
version = {}
with open(version_file) as fp:
exec(fp.read(), version)
version = version["version"]
if __name__ == "__main__" and len(sys.argv) == 1:
from problog im... | 29.517241 | 88 | 0.561332 |
793f2cc756a4b80f4e78a2eefce83882b069e043 | 2,338 | py | Python | var/spack/repos/builtin/packages/r-multtest/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2015-10-04T02:17:46.000Z | 2018-02-07T18:23:00.000Z | var/spack/repos/builtin/packages/r-multtest/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 22 | 2017-08-01T22:45:10.000Z | 2022-03-10T07:46:31.000Z | var/spack/repos/builtin/packages/r-multtest/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2016-06-10T17:57:39.000Z | 2018-09-11T04:59:38.000Z | # Copyright 2013-2022 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 RMulttest(RPackage):
"""Resampling-based multiple hypothesis testing.
Non-parametr... | 51.955556 | 79 | 0.738238 |
793f2f9e1987b7b3c549474b98984dc48944b865 | 6,978 | py | Python | findspark.py | minrk/find-spark | 527323546f5d8dd4a2365cac0af795825d222fa4 | [
"BSD-3-Clause"
] | null | null | null | findspark.py | minrk/find-spark | 527323546f5d8dd4a2365cac0af795825d222fa4 | [
"BSD-3-Clause"
] | null | null | null | findspark.py | minrk/find-spark | 527323546f5d8dd4a2365cac0af795825d222fa4 | [
"BSD-3-Clause"
] | null | null | null | """Find spark home, and initialize by adding pyspark to sys.path.
If SPARK_HOME is defined, it will be used to put pyspark on sys.path.
Otherwise, common locations for spark will be searched.
"""
from glob import glob
import os
import sys
__version__ = "2.0.1"
def find():
"""Find a local spark installation.
... | 31.29148 | 100 | 0.637002 |
793f2fef9eea3ee2742a0bc7edf1951ba95d15fa | 2,465 | py | Python | data/p4VQE/R4/benchmark/startQiskit252.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R4/benchmark/startQiskit252.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R4/benchmark/startQiskit252.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=3
# total number=12
import numpy as np
from qiskit import QuantumCircuit, execute, Aer, QuantumRegister, ClassicalRegister, transpile, BasicAer, IBMQ
import networkx as nx
from qiskit.visualization import plot_histogram
from typing import *
from pprint import pprint
from math import log2
from collectio... | 27.388889 | 118 | 0.634483 |
793f31411e745ceabbdce63800bb38c149c8c434 | 2,568 | py | Python | simplemonitor/Alerters/ses.py | cgroschupp/simplemonitor | 0d4cb4823193bdd93c3f9176eea3bfab07007be1 | [
"BSD-3-Clause"
] | 373 | 2015-12-21T02:39:21.000Z | 2022-03-08T10:49:43.000Z | simplemonitor/Alerters/ses.py | cgroschupp/simplemonitor | 0d4cb4823193bdd93c3f9176eea3bfab07007be1 | [
"BSD-3-Clause"
] | 910 | 2015-10-13T08:16:38.000Z | 2022-03-29T12:16:52.000Z | simplemonitor/Alerters/ses.py | cgroschupp/simplemonitor | 0d4cb4823193bdd93c3f9176eea3bfab07007be1 | [
"BSD-3-Clause"
] | 196 | 2015-03-24T19:15:42.000Z | 2022-02-06T22:39:55.000Z | """
SimpleMonitor alerts via Amazon Simple Email Service
"""
import os
from typing import Any, Dict, cast
import boto3
from botocore.exceptions import ClientError
from ..Monitors.monitor import Monitor
from .alerter import Alerter, AlertLength, AlertType, register
@register
class SESAlerter(Alerter):
"""Send e... | 33.350649 | 87 | 0.633956 |
793f32812fdf13fae3277facb837cda35c49043d | 611 | py | Python | HardwareTests/AsynchronousTests/_x__asynchTests.py | JetStarBlues/Nand-2-Tetris | c27b5c2ac659f1edb63d36d89bf87e226bc5672c | [
"MIT"
] | null | null | null | HardwareTests/AsynchronousTests/_x__asynchTests.py | JetStarBlues/Nand-2-Tetris | c27b5c2ac659f1edb63d36d89bf87e226bc5672c | [
"MIT"
] | null | null | null | HardwareTests/AsynchronousTests/_x__asynchTests.py | JetStarBlues/Nand-2-Tetris | c27b5c2ac659f1edb63d36d89bf87e226bc5672c | [
"MIT"
] | null | null | null | '''
In the spirit of
http://www.diveintopython3.net/unit-testing.html
http://www.diveintopython3.net/refactoring.html
The tutorials show how maintainable and refactorable code becomes when use tests
'''
'''------------------------------ Imports ------------------------------'''
# Built ins
import ... | 26.565217 | 84 | 0.569558 |
793f329b122ec6bf32fbd5745d939b3b133ab25f | 10,179 | py | Python | contrib/spendfrom/spendfrom.py | puzcoin/scap-coin | 6a1c0dee69c59b0dc168f8419d7d97b33f75c867 | [
"MIT"
] | null | null | null | contrib/spendfrom/spendfrom.py | puzcoin/scap-coin | 6a1c0dee69c59b0dc168f8419d7d97b33f75c867 | [
"MIT"
] | null | null | null | contrib/spendfrom/spendfrom.py | puzcoin/scap-coin | 6a1c0dee69c59b0dc168f8419d7d97b33f75c867 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Use the raw transactions API to spend SCAPs received on particular addresses,
# and send any change back to that same address.
#
# Example usage:
# spendfrom.py # Lists available funds
# spendfrom.py --from=ADDRESS --to=ADDRESS --amount=11.00
#
# Assumes it will talk to a safecapitald or sa... | 37.981343 | 111 | 0.637784 |
793f33d0502d3ba9b1c600eae12927fe9ce00e48 | 2,154 | py | Python | homeassistant/components/scheduler/time.py | mikiec84/home-assistant | d9e3c02df3a2690e74d1b606e8db0a4dd686e872 | [
"MIT"
] | null | null | null | homeassistant/components/scheduler/time.py | mikiec84/home-assistant | d9e3c02df3a2690e74d1b606e8db0a4dd686e872 | [
"MIT"
] | null | null | null | homeassistant/components/scheduler/time.py | mikiec84/home-assistant | d9e3c02df3a2690e74d1b606e8db0a4dd686e872 | [
"MIT"
] | null | null | null | """
homeassistant.components.scheduler.time
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
An event in the scheduler component that will call the service
every specified day at the time specified.
A time event need to have the type 'time', which service to call and at
which time.
{
"type": "time",
"service": "switch.... | 30.771429 | 74 | 0.65506 |
793f342c2a5a9ae58d181863697d533850a8e69d | 2,889 | py | Python | test/functional/test_framework/address.py | pbitmonkey/bitmonkey-debug | f48bab02e88b1fcf445c59380e6fda018d86f462 | [
"MIT"
] | null | null | null | test/functional/test_framework/address.py | pbitmonkey/bitmonkey-debug | f48bab02e88b1fcf445c59380e6fda018d86f462 | [
"MIT"
] | null | null | null | test/functional/test_framework/address.py | pbitmonkey/bitmonkey-debug | f48bab02e88b1fcf445c59380e6fda018d86f462 | [
"MIT"
] | 1 | 2020-11-04T06:59:13.000Z | 2020-11-04T06:59:13.000Z | #!/usr/bin/env python3
# Copyright (c) 2016-2019 The bitmonkey Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Encode and decode BASE58, P2PKH and P2SH addresses."""
from .script import hash256, hash160, sha256,... | 31.747253 | 94 | 0.69055 |
793f34a8c1176e95220dbfeacd683d9d6ce72032 | 4,857 | py | Python | lambda/us-east-1_Numbers_Trivia/ask_sdk_model/user.py | Techievena/Numbers_Trivia | e86daaf7e7bc2c80c703c8496daea6317e986204 | [
"MIT"
] | 1 | 2019-02-04T21:07:06.000Z | 2019-02-04T21:07:06.000Z | lambda/us-east-1_Numbers_Trivia/ask_sdk_model/user.py | Techievena/Numbers_Trivia | e86daaf7e7bc2c80c703c8496daea6317e986204 | [
"MIT"
] | 9 | 2020-03-24T16:32:57.000Z | 2022-03-11T23:37:22.000Z | lambda/us-east-1_Numbers_Trivia/ask_sdk_model/user.py | Techievena/Numbers_Trivia | e86daaf7e7bc2c80c703c8496daea6317e986204 | [
"MIT"
] | null | null | null | # coding: utf-8
#
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "lice... | 39.487805 | 336 | 0.640107 |
793f36a021d93be1cc38ee4a5c3bd4655d8331b2 | 1,069 | py | Python | tests/console/commands/self/utils.py | zEdS15B3GCwq/poetry | 2afe9840533aacfe561d3fdf65c6fb2e790d89b1 | [
"MIT"
] | 7,258 | 2018-02-28T16:23:08.000Z | 2019-12-11T18:27:58.000Z | tests/console/commands/self/utils.py | zEdS15B3GCwq/poetry | 2afe9840533aacfe561d3fdf65c6fb2e790d89b1 | [
"MIT"
] | 1,608 | 2018-02-28T15:31:35.000Z | 2019-12-11T20:00:05.000Z | tests/console/commands/self/utils.py | zEdS15B3GCwq/poetry | 2afe9840533aacfe561d3fdf65c6fb2e790d89b1 | [
"MIT"
] | 597 | 2018-03-07T15:07:46.000Z | 2019-12-11T16:36:22.000Z | from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING
from poetry.factory import Factory
if TYPE_CHECKING:
from tomlkit.container import Table as TOMLTable
def get_self_command_dependencies(locked: bool = True) -> TOMLTable:
from poetry.console.commands.self.self_com... | 31.441176 | 88 | 0.782039 |
793f382f6306325ed08e967eb555c8cf08a6a80c | 1,690 | py | Python | PY2/colorprint/methods.py | apua/colorprint | 4c8b22c21447b587dc827be83feb79084504cdaa | [
"WTFPL"
] | null | null | null | PY2/colorprint/methods.py | apua/colorprint | 4c8b22c21447b587dc827be83feb79084504cdaa | [
"WTFPL"
] | 10 | 2015-02-10T04:00:30.000Z | 2015-03-01T06:20:36.000Z | PY2/colorprint/methods.py | apua/colorprint | 4c8b22c21447b587dc827be83feb79084504cdaa | [
"WTFPL"
] | null | null | null | """
Provide `print` and `pprint` methods.
"""
from __future__ import print_function
from .attributes import attr_names
def colorform(values):
attrs = ';'.join(map(str, values))
return '\033[{}m{{}}\033[m'.format(attrs)
class ColorPrint:
_print = print
def __init__(self, values=()):
self.... | 28.166667 | 76 | 0.584615 |
793f390d2399e48bd918f6bb5edba794588572ce | 4,439 | py | Python | source/streaming/geh_stream/batch_operations/monitor_batch.py | Energinet-DataHub/geh-timeseries | 24e92e7664e3d3774f941973ed7563837385748a | [
"Apache-2.0"
] | 5 | 2021-04-23T08:10:57.000Z | 2021-12-17T03:14:03.000Z | source/streaming/geh_stream/batch_operations/monitor_batch.py | Energinet-DataHub/geh-timeseries | 24e92e7664e3d3774f941973ed7563837385748a | [
"Apache-2.0"
] | 335 | 2021-04-14T19:10:40.000Z | 2022-03-28T13:02:20.000Z | source/streaming/geh_stream/batch_operations/monitor_batch.py | Energinet-DataHub/geh-timeseries | 24e92e7664e3d3774f941973ed7563837385748a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Energinet DataHub A/S
#
# Licensed under the Apache License, Version 2.0 (the "License2");
# 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 i... | 54.134146 | 160 | 0.76301 |
793f3958c64d201d39067caade8e62218c818fd5 | 25,896 | py | Python | sklearn/manifold/_spectral_embedding.py | MaiRajborirug/scikit-learn | c18d015372f7041099d19c215cd4c36ffd6fe5c5 | [
"BSD-3-Clause"
] | 199 | 2020-08-27T09:03:21.000Z | 2021-11-09T11:21:07.000Z | sklearn/manifold/_spectral_embedding.py | MaiRajborirug/scikit-learn | c18d015372f7041099d19c215cd4c36ffd6fe5c5 | [
"BSD-3-Clause"
] | 4 | 2020-01-28T20:43:24.000Z | 2020-11-12T15:59:34.000Z | sklearn/manifold/_spectral_embedding.py | MaiRajborirug/scikit-learn | c18d015372f7041099d19c215cd4c36ffd6fe5c5 | [
"BSD-3-Clause"
] | 18 | 2018-03-29T00:01:38.000Z | 2021-10-10T12:11:37.000Z | """Spectral Embedding."""
# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Wei LI <kuantkid@gmail.com>
# License: BSD 3 clause
import warnings
import numpy as np
from scipy import sparse
from scipy.linalg import eigh
from scipy.sparse.linalg import eigsh
from scipy.sparse.csgraph import connected_... | 38.026432 | 88 | 0.632646 |
793f395eee1807f59e4a98aa2758da1839fb2ff7 | 10,425 | py | Python | rpython/rlib/rtime.py | SeraphRoy/PyPy-Functional | e825dce7f7c484fa666566974a93ed5d59fb73be | [
"Apache-2.0",
"OpenSSL"
] | 4 | 2019-02-11T06:58:43.000Z | 2020-03-15T14:12:32.000Z | rpython/rlib/rtime.py | murtyjones/kiwi-pypy | 1419c7de61a11b2d29602b25506cb3b4f225996e | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/rlib/rtime.py | murtyjones/kiwi-pypy | 1419c7de61a11b2d29602b25506cb3b4f225996e | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """
RPython implementations of time.time(), time.clock(), time.select().
"""
import sys
import math
import time as pytime
from rpython.translator.tool.cbuild import ExternalCompilationInfo
from rpython.rtyper.tool import rffi_platform
from rpython.rtyper.lltypesystem import rffi, lltype
from rpython.rlib.objectmodel i... | 37.5 | 80 | 0.601631 |
793f3ae350c49f6b306a0375b3a9fd12e1920a61 | 780 | py | Python | src/stories/_return.py | sashgorokhov-forks/stories | ae0596cd1c6eb2b159bc652706d28ed934af1507 | [
"BSD-2-Clause"
] | null | null | null | src/stories/_return.py | sashgorokhov-forks/stories | ae0596cd1c6eb2b159bc652706d28ed934af1507 | [
"BSD-2-Clause"
] | null | null | null | src/stories/_return.py | sashgorokhov-forks/stories | ae0596cd1c6eb2b159bc652706d28ed934af1507 | [
"BSD-2-Clause"
] | null | null | null | from ._repr import namespace_representation
class Result(object):
def __init__(self, value=None):
self.value = value
def __repr__(self):
return self.__class__.__name__ + "(" + repr(self.value) + ")"
class Success(object):
def __init__(self, **kwargs):
self.kwargs = kwargs
d... | 22.941176 | 87 | 0.615385 |
793f3b91c4332ee2098cb644b7df4aab959f35f6 | 6,468 | py | Python | tests/ut/python/parallel/test_gather_v2.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | 1 | 2020-05-13T11:31:21.000Z | 2020-05-13T11:31:21.000Z | tests/ut/python/parallel/test_gather_v2.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | tests/ut/python/parallel/test_gather_v2.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 37.387283 | 102 | 0.672696 |
793f3e436ca884b945e0fc70a026fe990f696426 | 9,988 | py | Python | key_word_num/cifar100vgg.py | Carrie2001/Chinese-poems-generation-based-on-pictures | 63e180c207bde1559b290e79e70b0fa0ce8b0c33 | [
"MIT"
] | 1 | 2022-01-14T17:27:28.000Z | 2022-01-14T17:27:28.000Z | key_word_num/cifar100vgg.py | Carrie2001/Chinese-poems-generation-based-on-pictures | 63e180c207bde1559b290e79e70b0fa0ce8b0c33 | [
"MIT"
] | null | null | null | key_word_num/cifar100vgg.py | Carrie2001/Chinese-poems-generation-based-on-pictures | 63e180c207bde1559b290e79e70b0fa0ce8b0c33 | [
"MIT"
] | null | null | null |
from __future__ import print_function
import keras
from keras.datasets import cifar100
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D, BatchNormalization
from keras i... | 36.586081 | 120 | 0.651382 |
793f3e5587c2648c5cce05606c8889bfe6e2c709 | 1,835 | py | Python | argumentosSimple.py | sanxofon/basicnlp3 | 289415ec07fae69af04a8354bb9a9801cad564b8 | [
"MIT"
] | 1 | 2017-12-31T18:09:06.000Z | 2017-12-31T18:09:06.000Z | argumentosSimple.py | sanxofon/basicnlp3 | 289415ec07fae69af04a8354bb9a9801cad564b8 | [
"MIT"
] | null | null | null | argumentosSimple.py | sanxofon/basicnlp3 | 289415ec07fae69af04a8354bb9a9801cad564b8 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Hay diversas maneras de recibir información del usuario en la terminal
Para pedir información al usuario DURANTE la ejecución de un script
podemos usar la función "raw_input" (python2) o "input" (python3) y guardar la respuesta en una variable
como se puede ver en el ... | 42.674419 | 110 | 0.751499 |
793f3e6b9bbb0a8d3be5a1c24757484d5404acfc | 314 | py | Python | test/tests/globals.py | aisk/pyston | ac69cfef0621dbc8901175e84fa2b5cb5781a646 | [
"BSD-2-Clause",
"Apache-2.0"
] | 1 | 2020-02-06T14:28:45.000Z | 2020-02-06T14:28:45.000Z | test/tests/globals.py | aisk/pyston | ac69cfef0621dbc8901175e84fa2b5cb5781a646 | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | test/tests/globals.py | aisk/pyston | ac69cfef0621dbc8901175e84fa2b5cb5781a646 | [
"BSD-2-Clause",
"Apache-2.0"
] | 1 | 2020-02-06T14:29:00.000Z | 2020-02-06T14:29:00.000Z | def f():
z = 1
print x # non-builtin, but defined
print True # builtin, redefined
print False # builtin, not redefined
print z # local
try:
print y # non-builtin, not defined
except NameError, e:
print e
x = 2
z = 2
True = "new_true"
f()
assert globals() is globals()
| 17.444444 | 42 | 0.595541 |
793f3e7d2f44e76c3ded0b4e42a09eda0736a12d | 3,183 | py | Python | samples/summarize-bot/siatl/logger/plotting.py | tsuwandy/botbuilder-community-python | e035a993cd3b0fd8c7b2ff1126c4e993d0c8efc3 | [
"MIT"
] | null | null | null | samples/summarize-bot/siatl/logger/plotting.py | tsuwandy/botbuilder-community-python | e035a993cd3b0fd8c7b2ff1126c4e993d0c8efc3 | [
"MIT"
] | null | null | null | samples/summarize-bot/siatl/logger/plotting.py | tsuwandy/botbuilder-community-python | e035a993cd3b0fd8c7b2ff1126c4e993d0c8efc3 | [
"MIT"
] | null | null | null | import numpy
from visdom import Visdom
# import matplotlib.pyplot as plt
# import seaborn as sns
class Visualizer:
def __init__(self, env="main",
server="http://localhost",
port=8097,
base_url="/",
http_proxy_host=None,
http_pro... | 37.447059 | 76 | 0.395853 |
793f3ee0bc60e3479f3565b56c6638783a2f4424 | 6,910 | py | Python | tests/lib/metrics_test.py | rjlohan/cloudformation-cli-python-plugin | f195602b2402407ccc5b6210771d14db5d9e25ca | [
"Apache-2.0"
] | null | null | null | tests/lib/metrics_test.py | rjlohan/cloudformation-cli-python-plugin | f195602b2402407ccc5b6210771d14db5d9e25ca | [
"Apache-2.0"
] | null | null | null | tests/lib/metrics_test.py | rjlohan/cloudformation-cli-python-plugin | f195602b2402407ccc5b6210771d14db5d9e25ca | [
"Apache-2.0"
] | null | null | null | # pylint: disable=no-member
from datetime import datetime
from unittest.mock import MagicMock, call, patch
import boto3
from cloudformation_cli_python_lib.interface import Action, MetricTypes, StandardUnit
from cloudformation_cli_python_lib.metrics import (
MetricPublisher,
MetricsPublisherProxy,
format_di... | 35.255102 | 87 | 0.578437 |
793f3f226957800f284fd84218d3621c3074c95c | 473 | py | Python | testing/gomodules/setup.py | pytogo/setuptools-golang | 953b869874ad45e4929287119912a22885993fc4 | [
"MIT"
] | 64 | 2016-08-16T22:32:43.000Z | 2022-03-22T09:15:35.000Z | testing/gomodules/setup.py | pytogo/setuptools-golang | 953b869874ad45e4929287119912a22885993fc4 | [
"MIT"
] | 25 | 2017-01-30T04:26:00.000Z | 2022-03-08T15:22:58.000Z | testing/gomodules/setup.py | pytogo/setuptools-golang | 953b869874ad45e4929287119912a22885993fc4 | [
"MIT"
] | 18 | 2016-07-12T21:08:25.000Z | 2022-03-22T09:15:40.000Z | from setuptools import Extension
from setuptools import setup
setup(
name='gomod',
ext_modules=[Extension('gomodules', ['reversemsg.go'])],
build_golang={
'root': 'github.com/asottile/setuptools-golang/testing/gomodules',
},
# Would do this, but we're testing *our* implementation and this ... | 29.5625 | 74 | 0.697674 |
793f41ce42c72b98acbc170a04df212c8b9a1f03 | 12,518 | py | Python | modules/dbnd/src/dbnd/_core/tracking/script_tracking_manager.py | databand-ai/dbnd | 0370409e38773be8812088622953a3aa306eb564 | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | modules/dbnd/src/dbnd/_core/tracking/script_tracking_manager.py | databand-ai/dbnd | 0370409e38773be8812088622953a3aa306eb564 | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | modules/dbnd/src/dbnd/_core/tracking/script_tracking_manager.py | databand-ai/dbnd | 0370409e38773be8812088622953a3aa306eb564 | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | import atexit
import logging
import os
import sys
import typing
from subprocess import list2cmdline
from typing import Optional
from dbnd._core.configuration import get_dbnd_project_config
from dbnd._core.configuration.config_value import ConfigValuePriority
from dbnd._core.configuration.dbnd_config import config
fro... | 34.772222 | 118 | 0.679661 |
793f420c1d852fcb66de2fbd169c54bf7364ba2f | 22,183 | py | Python | source/gui/ui_main_window.py | playboy8/starquant | 21ff009167251209492e61ce1cb523e141946127 | [
"Apache-2.0"
] | 322 | 2019-04-03T15:31:46.000Z | 2022-03-21T13:32:06.000Z | source/gui/ui_main_window.py | synasy/starquant | c00cad64d1de2da05081b3dc320ef264c6295e08 | [
"Apache-2.0"
] | 11 | 2019-04-03T15:32:09.000Z | 2021-12-19T13:14:58.000Z | source/gui/ui_main_window.py | synasy/starquant | c00cad64d1de2da05081b3dc320ef264c6295e08 | [
"Apache-2.0"
] | 110 | 2019-04-03T15:54:58.000Z | 2022-03-25T09:26:41.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from queue import Queue
from PyQt5 import QtCore, QtWidgets, QtGui
from datetime import datetime
import requests
import itchat
from source.common.constant import EventType
import pyqtgraph.console
# from source.trade.order_manager import OrderManager
from source.trade.risk... | 40.186594 | 137 | 0.629807 |
793f422e84f7b52e1886f562ffa9bef115e9eca2 | 13,086 | py | Python | UnsupervisedMT/NMT/src/utils.py | zsl-nlp/DeepOffense-Unsupervised | 3c6f18eefd1d7302ba2c77eeb1a3ab47d7991fc4 | [
"RSA-MD"
] | null | null | null | UnsupervisedMT/NMT/src/utils.py | zsl-nlp/DeepOffense-Unsupervised | 3c6f18eefd1d7302ba2c77eeb1a3ab47d7991fc4 | [
"RSA-MD"
] | null | null | null | UnsupervisedMT/NMT/src/utils.py | zsl-nlp/DeepOffense-Unsupervised | 3c6f18eefd1d7302ba2c77eeb1a3ab47d7991fc4 | [
"RSA-MD"
] | null | null | null | # Copyright (c) 2018-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import re
import sys
import pickle
import random
import inspect
import argparse
import subprocess
from logging import... | 35.177419 | 141 | 0.620816 |
793f429f6e9af7f4c46a188d1c7ee66cde711bb9 | 82,317 | py | Python | src/transformers/modeling_utils.py | cbrochtrup/transformers | c89bdfbe720bc8f41c7dc6db5473a2cb0955f224 | [
"Apache-2.0"
] | 1 | 2020-11-30T09:01:57.000Z | 2020-11-30T09:01:57.000Z | src/transformers/modeling_utils.py | cbrochtrup/transformers | c89bdfbe720bc8f41c7dc6db5473a2cb0955f224 | [
"Apache-2.0"
] | null | null | null | src/transformers/modeling_utils.py | cbrochtrup/transformers | c89bdfbe720bc8f41c7dc6db5473a2cb0955f224 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | 48.393298 | 197 | 0.628048 |
793f43e9bbe35f198038b988a0026eeaaf685976 | 1,367 | py | Python | asv_bench/benchmarks/tslibs/tz_convert.py | Pawel-Kranzberg/pandas | 6f90cb3d7bd5891d15a427252fba00027ca6084d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 28,899 | 2016-10-13T03:32:12.000Z | 2022-03-31T21:39:05.000Z | asv_bench/benchmarks/tslibs/tz_convert.py | Pawel-Kranzberg/pandas | 6f90cb3d7bd5891d15a427252fba00027ca6084d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 31,004 | 2016-10-12T23:22:27.000Z | 2022-03-31T23:17:38.000Z | asv_bench/benchmarks/tslibs/tz_convert.py | Pawel-Kranzberg/pandas | 6f90cb3d7bd5891d15a427252fba00027ca6084d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 15,149 | 2016-10-13T03:21:31.000Z | 2022-03-31T18:46:47.000Z | import numpy as np
from pytz import UTC
from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
from .tslib import (
_sizes,
_tzs,
tzlocal_obj,
)
try:
old_sig = False
from pandas._libs.tslibs.tzconversion import tz_convert_from_utc
except ImportError:
old_sig = True
from pandas._l... | 27.897959 | 82 | 0.643745 |
793f446389f44cfedb0528d0e08a4d921537d099 | 3,567 | py | Python | bmtk/simulator/filternet/lgnmodel/fitfuns.py | aaberbach/bmtk | 42aa70ce2003227a32df6ce5a95420dbf4bdfbd4 | [
"BSD-3-Clause"
] | 216 | 2017-10-03T17:02:42.000Z | 2022-03-20T03:35:48.000Z | bmtk/simulator/filternet/lgnmodel/fitfuns.py | moekay/bmtk | 6efdf6387d2a6badf276b917ee15d238daeae883 | [
"BSD-3-Clause"
] | 70 | 2017-10-05T00:50:41.000Z | 2022-03-30T18:55:01.000Z | bmtk/simulator/filternet/lgnmodel/fitfuns.py | moekay/bmtk | 6efdf6387d2a6badf276b917ee15d238daeae883 | [
"BSD-3-Clause"
] | 97 | 2017-10-03T22:15:06.000Z | 2022-03-23T21:03:26.000Z | import os
from math import *
import numpy as np
import numpy.fft as npft
def makeFitStruct_GLM(dtsim, kbasprs, nkt, flag_exp):
gg = {}
gg['k'] = []
gg['dc'] = 0
gg['kt'] = np.zeros((nkt,1))
gg['ktbas'] = []
gg['kbasprs'] = kbasprs
gg['dt'] = dtsim
nkt = nkt
if ... | 26.227941 | 120 | 0.537707 |
793f4538cfa2fd90aafcc0ec1cc494c786b444b8 | 399 | py | Python | exam_system/exam_system/wsgi.py | hiruthikj/exam-system | 952cb87bd43b31f6337aac1f1e57e05a68e7c531 | [
"Apache-2.0"
] | 3 | 2020-11-16T17:32:56.000Z | 2021-04-07T14:16:24.000Z | exam_system/exam_system/wsgi.py | hiruthikj/exam-system | 952cb87bd43b31f6337aac1f1e57e05a68e7c531 | [
"Apache-2.0"
] | null | null | null | exam_system/exam_system/wsgi.py | hiruthikj/exam-system | 952cb87bd43b31f6337aac1f1e57e05a68e7c531 | [
"Apache-2.0"
] | 1 | 2020-11-03T17:10:20.000Z | 2020-11-03T17:10:20.000Z | """
WSGI config for exam_system project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_S... | 23.470588 | 78 | 0.789474 |
793f4901f11f8ce15bfae1fbab52409dfb3f3408 | 1,689 | py | Python | template_main.py | cristi161/eecvf | 519c488bd47f697ef51e88823f7a751a52677b88 | [
"MIT"
] | 1 | 2021-04-02T15:33:12.000Z | 2021-04-02T15:33:12.000Z | template_main.py | cristi161/eecvf | 519c488bd47f697ef51e88823f7a751a52677b88 | [
"MIT"
] | null | null | null | template_main.py | cristi161/eecvf | 519c488bd47f697ef51e88823f7a751a52677b88 | [
"MIT"
] | 1 | 2021-08-14T09:07:22.000Z | 2021-08-14T09:07:22.000Z | import Application
import Benchmarking
import MachineLearning
import config_main as CONFIG
import Utils
def main():
"""
"""
Application.delete_folder_appl_out()
Application.set_input_image_folder('TestData/smoke_test')
Application.do_get_image_job('RAW')
Application.set_number_w... | 36.717391 | 108 | 0.725281 |
793f492f83d33ed72b3febc88c8295eadd9fa588 | 626 | py | Python | pangolin/core/utils.py | skylifewww/pangolinreact | 8d8a45fd15c442618f2ed1ecab15e2e2ab4b7a3a | [
"MIT"
] | null | null | null | pangolin/core/utils.py | skylifewww/pangolinreact | 8d8a45fd15c442618f2ed1ecab15e2e2ab4b7a3a | [
"MIT"
] | null | null | null | pangolin/core/utils.py | skylifewww/pangolinreact | 8d8a45fd15c442618f2ed1ecab15e2e2ab4b7a3a | [
"MIT"
] | null | null | null | import re
from purl import URL
from django.utils.encoding import force_text
def intspace(value):
"""
45570 => 45 570
450840 => 450 840
1450000 => 1 450 000
"""
orig = force_text(value)
new = re.sub(r'^(-?\d+)(\d{3})', '\g<1> \g<2>', orig)
if orig == new:
return new
return... | 22.357143 | 93 | 0.600639 |
793f4a7e12c070ae92b4f0aca450098f97affa3a | 824 | py | Python | main.py | vtalks/pipeline | b075836f16157c7096eebc9cfd9c43301e137a61 | [
"Apache-2.0"
] | 1 | 2018-07-07T11:56:44.000Z | 2018-07-07T11:56:44.000Z | main.py | vtalks/pipeline | b075836f16157c7096eebc9cfd9c43301e137a61 | [
"Apache-2.0"
] | null | null | null | main.py | vtalks/pipeline | b075836f16157c7096eebc9cfd9c43301e137a61 | [
"Apache-2.0"
] | null | null | null | import logging
import handlers
from scheduler import Scheduler
logger = logging.getLogger(__name__)
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
logger.info('Starting the pipeline-scheduler ...')
scheduler = Scheduler()
scheduler.event_loop.run_until_complete(scheduler.boostra... | 31.692308 | 89 | 0.756068 |
793f4a81ef79023606ac7ae384e0c32cd776b55f | 364 | py | Python | Ago-Dic-2021/viera-rodriguez-david/P2_Practica2/ejercicio3/insertar.py | AnhellO/DAS_Sistemas | 07b4eca78357d02d225d570033d05748d91383e3 | [
"MIT"
] | 41 | 2017-09-26T09:36:32.000Z | 2022-03-19T18:05:25.000Z | Ago-Dic-2021/viera-rodriguez-david/P2_Practica2/ejercicio3/insertar.py | AnhellO/DAS_Sistemas | 07b4eca78357d02d225d570033d05748d91383e3 | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | Ago-Dic-2021/viera-rodriguez-david/P2_Practica2/ejercicio3/insertar.py | AnhellO/DAS_Sistemas | 07b4eca78357d02d225d570033d05748d91383e3 | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z | import redis
import json
with open('mock_data.json') as json_file:
data=json.load(json_file)
redis_client = redis.Redis(host='redis_db', port=6379)
for i in data:
redis_client.set("id":i['id'],"first_name":i['first_name'],"last_name":i['last_name'],"email":i['email'],"gender":i['gender'],"ip_address":i['ip_a... | 36.4 | 194 | 0.708791 |
793f4b64337c9c02f062b13d7aa505fae1af9b98 | 1,042 | py | Python | manage.py | pmrowla/gumiya | cdfac7d79d3ebac28df40ec6aa011a5400c52112 | [
"MIT"
] | null | null | null | manage.py | pmrowla/gumiya | cdfac7d79d3ebac28df40ec6aa011a5400c52112 | [
"MIT"
] | 13 | 2017-08-21T10:00:09.000Z | 2021-12-31T04:00:56.000Z | manage.py | pmrowla/gumiya | cdfac7d79d3ebac28df40ec6aa011a5400c52112 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings.local')
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure tha... | 34.733333 | 77 | 0.661228 |
793f4b77dd50381abffc82d03fee8bc36e746dab | 5,824 | py | Python | imaginaire/evaluation/fid.py | hw07216/imaginaire | 87c774114622e39488a5ea8a7728b1a20896afb9 | [
"RSA-MD"
] | 3,308 | 2020-07-15T17:50:13.000Z | 2022-03-31T14:53:31.000Z | imaginaire/evaluation/fid.py | hw07216/imaginaire | 87c774114622e39488a5ea8a7728b1a20896afb9 | [
"RSA-MD"
] | 132 | 2020-09-20T17:36:28.000Z | 2022-03-28T12:40:03.000Z | src/imaginaire/evaluation/fid.py | livingbio/imaginaire-fsvid2vid | d82c87aced50afd44fd162491ba5b59056b74034 | [
"RSA-MD"
] | 370 | 2020-09-29T00:34:08.000Z | 2022-03-30T04:12:48.000Z | # Copyright (C) 2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# This work is made available under the Nvidia Source Code License-NC.
# To view a copy of this license, check out LICENSE.md
import os
import numpy as np
import torch
from scipy import linalg
from imaginaire.evaluation.common import load_or... | 40.444444 | 98 | 0.656593 |
793f4bf548b2a00de86bbc6012dc0aab3561c179 | 4,420 | py | Python | mvpa2/clfs/mass.py | mortonne/PyMVPA | 98644c5cd9733edd39fac746ea7cf67398674645 | [
"MIT"
] | null | null | null | mvpa2/clfs/mass.py | mortonne/PyMVPA | 98644c5cd9733edd39fac746ea7cf67398674645 | [
"MIT"
] | null | null | null | mvpa2/clfs/mass.py | mortonne/PyMVPA | 98644c5cd9733edd39fac746ea7cf67398674645 | [
"MIT"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... | 35.934959 | 107 | 0.608597 |
793f4d32abb0d655ca3928b7dc629f44feb64313 | 597 | py | Python | AtC_Beg_Con_121-130/ABC125/C.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Beg_Con_121-130/ABC125/C.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Beg_Con_121-130/ABC125/C.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | n = int(input())
a = [int(m) for m in input().split()]
a.sort()
m0 = a[0]
m1 = a[1]
def make_divisors(n):
divisors = []
for i in range(1, int(n**0.5)+1):
if n % i == 0:
divisors.append(i)
if i != n // i:
divisors.append(n//i)
# divisors.sort()
return divi... | 17.558824 | 37 | 0.460637 |
793f4d8824080d792b37111e66c4bf62a0261fcd | 619 | py | Python | tflite_model_train.py | RadXGH/face-detect-cam | e3e6ad268b89e5e15ce190cff66e5322ad73bfe6 | [
"MIT"
] | null | null | null | tflite_model_train.py | RadXGH/face-detect-cam | e3e6ad268b89e5e15ce190cff66e5322ad73bfe6 | [
"MIT"
] | null | null | null | tflite_model_train.py | RadXGH/face-detect-cam | e3e6ad268b89e5e15ce190cff66e5322ad73bfe6 | [
"MIT"
] | null | null | null | from tflite_model_maker import image_classifier, config
from tflite_model_maker.image_classifier import DataLoader
# Load input data specific to an on-device ML app.
data = DataLoader.from_folder('./test-models/')
train_data, test_data = data.split(0.9)
# Customize the TensorFlow model.
model = image_classifi... | 38.6875 | 103 | 0.783522 |
793f4d98c1bd3b273f3082b72333acb792e87866 | 194 | py | Python | example/configure/app.py | dmsimard/dynaconf | ec394ab07e3b522879c8be678c65ebeb05fc2b59 | [
"MIT"
] | null | null | null | example/configure/app.py | dmsimard/dynaconf | ec394ab07e3b522879c8be678c65ebeb05fc2b59 | [
"MIT"
] | null | null | null | example/configure/app.py | dmsimard/dynaconf | ec394ab07e3b522879c8be678c65ebeb05fc2b59 | [
"MIT"
] | null | null | null | # coding: utf-8
from dynaconf import settings
settings.configure(settings_module='/tmp/configure_test/settings.py')
assert settings.MESSAGE == 'Hello from tmp'
print(settings.MESSAGE) # noqa
| 24.25 | 69 | 0.783505 |
793f4e76ff70fda32ac46dc07bc631fe107b9120 | 1,039 | py | Python | auto_cat_namer/catscanner.py | onhernandes/auto-cat-namer | 929e38296777a9453de7a13fbe70e9dbfa0f8ede | [
"MIT"
] | null | null | null | auto_cat_namer/catscanner.py | onhernandes/auto-cat-namer | 929e38296777a9453de7a13fbe70e9dbfa0f8ede | [
"MIT"
] | null | null | null | auto_cat_namer/catscanner.py | onhernandes/auto-cat-namer | 929e38296777a9453de7a13fbe70e9dbfa0f8ede | [
"MIT"
] | null | null | null | import cv2
from pathlib import Path
import os
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
HAARS_FILENAME = "./haarcascade_frontalcatface_extended.xml"
HAARS_FILE = os.path.join(ROOT_DIR, HAARS_FILENAME)
def write_name_to_image(name, image_path, output_path):
image_path = Path(image_path).reso... | 32.46875 | 82 | 0.6718 |
793f4e781d383842e97fa3f900a2b40e93ab21c8 | 19,645 | py | Python | venv/lib/python3.6/site-packages/tensorflow_core/lite/experimental/microfrontend/ops/gen_audio_microfrontend_op.py | databill86/HyperFoods | 9267937c8c70fd84017c0f153c241d2686a356dd | [
"MIT"
] | 2 | 2020-09-30T00:11:09.000Z | 2021-10-04T13:00:38.000Z | venv/lib/python3.6/site-packages/tensorflow_core/lite/experimental/microfrontend/ops/gen_audio_microfrontend_op.py | databill86/HyperFoods | 9267937c8c70fd84017c0f153c241d2686a356dd | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/tensorflow_core/lite/experimental/microfrontend/ops/gen_audio_microfrontend_op.py | databill86/HyperFoods | 9267937c8c70fd84017c0f153c241d2686a356dd | [
"MIT"
] | null | null | null | """Python wrappers around TensorFlow ops.
This file is MACHINE GENERATED! Do not edit.
Original C++ source file: audio_microfrontend_op.cc
"""
import collections
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
from tensorflow.python.eager import context as _context
from tensorflow.python.eager ... | 49.987277 | 451 | 0.684093 |
793f4f713ae5c8bbbe662aa5a3676fc9662662a1 | 50,239 | py | Python | swift/obj/replicator.py | kipdoudou/swift | ade5b80952a72afce4333fe6d98285173d68af3e | [
"Apache-2.0"
] | null | null | null | swift/obj/replicator.py | kipdoudou/swift | ade5b80952a72afce4333fe6d98285173d68af3e | [
"Apache-2.0"
] | null | null | null | swift/obj/replicator.py | kipdoudou/swift | ade5b80952a72afce4333fe6d98285173d68af3e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2010-2012 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 or agree... | 44.816236 | 101 | 0.544119 |
793f4fa9330aef58dd327dbb81b7deb52469c87b | 11,887 | py | Python | data/scripts/scenarios.py | natkaratkova/covid19_scenarios | 40e646ef23453a2b7555529523deb9f18cc5a88d | [
"MIT"
] | null | null | null | data/scripts/scenarios.py | natkaratkova/covid19_scenarios | 40e646ef23453a2b7555529523deb9f18cc5a88d | [
"MIT"
] | null | null | null | data/scripts/scenarios.py | natkaratkova/covid19_scenarios | 40e646ef23453a2b7555529523deb9f18cc5a88d | [
"MIT"
] | null | null | null | import sys
import csv
import os
import json
import numpy as np
import multiprocessing as multi
import yaml
from uuid import uuid4
sys.path.append('..')
import generated.types as schema
from datetime import datetime
from scipy.stats import linregress
from paths import TMP_CASES, BASE_PATH, JSON_DIR, FIT_PARAMETERS, S... | 38.846405 | 133 | 0.581223 |
793f516d4699261499753318831fcad4ce3feaad | 10,597 | py | Python | tests/morph_colors_extractor2/create_tests_white_dunes.py | duhnnie/3-dreams-of-black | 15aded97f57a82e5a4c95c4e74bcd603b3fc6e1e | [
"Apache-2.0"
] | 475 | 2015-01-02T07:49:46.000Z | 2022-03-17T04:01:47.000Z | tests/morph_colors_extractor2/create_tests_white_dunes.py | duhnnie/3-dreams-of-black | 15aded97f57a82e5a4c95c4e74bcd603b3fc6e1e | [
"Apache-2.0"
] | 3 | 2015-03-06T10:51:03.000Z | 2019-09-10T19:39:39.000Z | tests/morph_colors_extractor2/create_tests_white_dunes.py | duhnnie/3-dreams-of-black | 15aded97f57a82e5a4c95c4e74bcd603b3fc6e1e | [
"Apache-2.0"
] | 130 | 2015-01-15T02:08:21.000Z | 2021-12-20T19:15:22.000Z | import glob
import os.path
# ##################################################################
# Config
# ##################################################################
JSFILES = "results/*.js"
HTMLPATH = "html"
# ##################################################################
# Templates
# #################... | 26.426434 | 170 | 0.58224 |
793f518135929dcbaae53ea02568aef584a8727d | 3,160 | py | Python | tensorflow_model_analysis/eval_saved_model/example_trainers/fixed_prediction_estimator.py | robertwb/model-analysis | e081016a1c81f17057ad3714f867832632899504 | [
"Apache-2.0"
] | 1 | 2019-03-24T15:09:56.000Z | 2019-03-24T15:09:56.000Z | tensorflow_model_analysis/eval_saved_model/example_trainers/fixed_prediction_estimator.py | robertwb/model-analysis | e081016a1c81f17057ad3714f867832632899504 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_analysis/eval_saved_model/example_trainers/fixed_prediction_estimator.py | robertwb/model-analysis | e081016a1c81f17057ad3714f867832632899504 | [
"Apache-2.0"
] | 1 | 2020-04-12T14:29:27.000Z | 2020-04-12T14:29:27.000Z | # Copyright 2018 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.725275 | 76 | 0.721203 |
793f525142b70949e9399d08be8c605a23ae6c27 | 6,924 | py | Python | interp2D.py | jsasaki-utokyo/model2roms | f2dbe56cd4c3ecfbb88177ed0ff34db48c148b8d | [
"MIT"
] | null | null | null | interp2D.py | jsasaki-utokyo/model2roms | f2dbe56cd4c3ecfbb88177ed0ff34db48c148b8d | [
"MIT"
] | null | null | null | interp2D.py | jsasaki-utokyo/model2roms | f2dbe56cd4c3ecfbb88177ed0ff34db48c148b8d | [
"MIT"
] | 1 | 2021-11-27T06:37:53.000Z | 2021-11-27T06:37:53.000Z | from __future__ import print_function
import datetime
import logging
import extrapolate as ex
import numpy as np
try:
import ESMF
except ImportError:
logging.error("[M2R_interp2D] Could not find module ESMF")
pass
__author__ = 'Trond Kristiansen'
__email__ = 'me@trondkristiansen.com'
__created__ = datet... | 43.275 | 121 | 0.589977 |
793f52634034db09a1026145b87cf7c97e8f6a23 | 3,411 | py | Python | components/studio/api/serializers.py | ScilifelabDataCentre/stackn | 00a65a16ff271f04548b3ff475c72dacbfd916df | [
"Apache-2.0"
] | null | null | null | components/studio/api/serializers.py | ScilifelabDataCentre/stackn | 00a65a16ff271f04548b3ff475c72dacbfd916df | [
"Apache-2.0"
] | null | null | null | components/studio/api/serializers.py | ScilifelabDataCentre/stackn | 00a65a16ff271f04548b3ff475c72dacbfd916df | [
"Apache-2.0"
] | null | null | null | from rest_framework.serializers import ModelSerializer
from models.models import Model, ModelLog, Metadata
from reports.models import Report, ReportGenerator
from projects.models import Project, Volume
from deployments.models import DeploymentInstance, DeploymentDefinition
from datasets.models import Dataset, FileMode... | 34.11 | 127 | 0.652888 |
793f527ce99807276d93cb9dc120c52c326a7255 | 1,601 | py | Python | common/src/stack/command/stack/commands/remove/appliance/firewall/__init__.py | shivanshs9/stacki | 258740748281dfe89b0f566261eaf23102f91aa4 | [
"BSD-3-Clause"
] | null | null | null | common/src/stack/command/stack/commands/remove/appliance/firewall/__init__.py | shivanshs9/stacki | 258740748281dfe89b0f566261eaf23102f91aa4 | [
"BSD-3-Clause"
] | null | null | null | common/src/stack/command/stack/commands/remove/appliance/firewall/__init__.py | shivanshs9/stacki | 258740748281dfe89b0f566261eaf23102f91aa4 | [
"BSD-3-Clause"
] | null | null | null | # @copyright@
# Copyright (c) 2006 - 2018 Teradata
# All rights reserved. Stacki(r) v5.x stacki.com
# https://github.com/Teradata/stacki/blob/master/LICENSE.txt
# @copyright@
#
# @rocks@
# Copyright (c) 2000 - 2010 The Regents of the University of California
# All rights reserved. Rocks(r) v5.4 www.rocksclusters.org
# ... | 27.603448 | 71 | 0.686446 |
793f528d0e5cd75e4dfe98336de4cb68acf63e75 | 10,677 | py | Python | flair/models/sequence_tagger_utils/viterbi.py | adriensas/flair | f01b0e7ff9a87d3862acae50aeaffdc8e8b8ac21 | [
"MIT"
] | 1 | 2022-02-06T04:04:27.000Z | 2022-02-06T04:04:27.000Z | flair/models/sequence_tagger_utils/viterbi.py | adriensas/flair | f01b0e7ff9a87d3862acae50aeaffdc8e8b8ac21 | [
"MIT"
] | null | null | null | flair/models/sequence_tagger_utils/viterbi.py | adriensas/flair | f01b0e7ff9a87d3862acae50aeaffdc8e8b8ac21 | [
"MIT"
] | null | null | null | from typing import Tuple
import numpy as np
import torch
import torch.nn
from torch.nn.functional import softmax
from torch.nn.utils.rnn import pack_padded_sequence
import flair
from flair.data import Dictionary, Label, List
START_TAG: str = "<START>"
STOP_TAG: str = "<STOP>"
class ViterbiLoss(torch.nn.Module):
... | 43.938272 | 119 | 0.631263 |
793f52dc26724b68376dd0adda737ab5129343a6 | 48 | py | Python | sitesearch/api/wsgi.py | lanceleonard/redis-sitesearch | 7115d5a5b470bf716d1e7d56c8e8fd311138b601 | [
"MIT"
] | 8,217 | 2015-03-06T19:30:57.000Z | 2022-03-30T14:54:36.000Z | sitesearch/api/wsgi.py | lanceleonard/redis-sitesearch | 7115d5a5b470bf716d1e7d56c8e8fd311138b601 | [
"MIT"
] | 1,637 | 2015-03-06T21:27:17.000Z | 2022-03-31T06:27:19.000Z | sitesearch/api/wsgi.py | lanceleonard/redis-sitesearch | 7115d5a5b470bf716d1e7d56c8e8fd311138b601 | [
"MIT"
] | 1,064 | 2015-03-07T15:32:24.000Z | 2022-03-25T17:23:40.000Z | from .app import create_app
app = create_app()
| 12 | 27 | 0.75 |
793f53bb3a3c705d6ae8a4ef52204a87ed2beae2 | 1,258 | py | Python | setup.py | miss-tais/djsettings | d345a42f4fd565b1666cefcc0a39d6ef201c3452 | [
"BSD-3-Clause"
] | null | null | null | setup.py | miss-tais/djsettings | d345a42f4fd565b1666cefcc0a39d6ef201c3452 | [
"BSD-3-Clause"
] | null | null | null | setup.py | miss-tais/djsettings | d345a42f4fd565b1666cefcc0a39d6ef201c3452 | [
"BSD-3-Clause"
] | null | null | null | import os
from setuptools import find_packages, setup
with open(os.path.join(os.path.dirname(__file__), 'README.md')) as readme:
README = readme.read()
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
setup(
name='djsettings',
version... | 30.682927 | 78 | 0.618442 |
793f53cec431c41e054ee8da73e0cea3274bbb8f | 15,249 | py | Python | template/rdchiral/main.py | sw32-seo/GTA | 86b102a14b78f6c8b50d742a56445c748e59b51e | [
"MIT"
] | 5 | 2021-09-30T16:28:48.000Z | 2022-03-30T05:20:27.000Z | template/rdchiral/main.py | sw32-seo/GTA | 86b102a14b78f6c8b50d742a56445c748e59b51e | [
"MIT"
] | null | null | null | template/rdchiral/main.py | sw32-seo/GTA | 86b102a14b78f6c8b50d742a56445c748e59b51e | [
"MIT"
] | null | null | null | from __future__ import print_function
import sys
import os
import rdkit.Chem as Chem
import rdkit.Chem.AllChem as AllChem
from rdkit.Chem.rdchem import ChiralType, BondType, BondDir
from rdchiral.utils import vprint
from rdchiral.initialization import rdchiralReaction, rdchiralReactants
from rdchiral.chiral import te... | 49.833333 | 144 | 0.543314 |
793f55e90cd151aa6bbf69518cca52fb63a369f6 | 146 | py | Python | helios/discounts/admin.py | panosl/helios | 22ceb736709aaa336def81d801797d72321a737e | [
"BSD-3-Clause"
] | 2 | 2021-01-26T02:37:19.000Z | 2021-12-02T14:15:22.000Z | helios/discounts/admin.py | panosl/helios | 22ceb736709aaa336def81d801797d72321a737e | [
"BSD-3-Clause"
] | null | null | null | helios/discounts/admin.py | panosl/helios | 22ceb736709aaa336def81d801797d72321a737e | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from helios.discounts.models import CategoryPercentageDiscount
admin.site.register(CategoryPercentageDiscount)
| 24.333333 | 62 | 0.876712 |
793f56a76698d707fef66084e47a3a2196add0ed | 15,501 | py | Python | apysc/_event/custom_event_interface.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | null | null | null | apysc/_event/custom_event_interface.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | null | null | null | apysc/_event/custom_event_interface.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | null | null | null | """Class implementation for the custom event interface.
"""
from typing import Any
from typing import Callable
from typing import Dict
from typing import Optional
from typing import Union
from apysc._event.custom_event_type import CustomEventType
from apysc._event.event import Event
from apysc._event.handl... | 39.746154 | 78 | 0.580156 |
793f56cec6e8ab34d3da15bfcb874e00c841072b | 668 | py | Python | mayan/apps/authentication/templatetags/authentication_tags.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 2 | 2021-09-12T19:41:19.000Z | 2021-09-12T19:41:20.000Z | mayan/apps/authentication/templatetags/authentication_tags.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 37 | 2021-09-13T01:00:12.000Z | 2021-10-02T03:54:30.000Z | mayan/apps/authentication/templatetags/authentication_tags.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 1 | 2021-09-22T13:17:30.000Z | 2021-09-22T13:17:30.000Z | from django.template import Library
from ..literals import (
USER_IMPERSONATE_VARIABLE_ID, USER_IMPERSONATE_VARIABLE_PERMANENT
)
register = Library()
@register.simple_tag(takes_context=True)
def authentication_impersonation_check(context):
request = getattr(context, 'request', None)
if req... | 27.833333 | 95 | 0.714072 |
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