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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9e41b29282b3c92d8cf6c7738d2ac1410ddedece | 3,662 | py | Python | placers/python_placer.py | martintb/typyCreator | ba8ad4c30322caa197714fdaac1a4388ad48b91d | [
"MIT"
] | null | null | null | placers/python_placer.py | martintb/typyCreator | ba8ad4c30322caa197714fdaac1a4388ad48b91d | [
"MIT"
] | null | null | null | placers/python_placer.py | martintb/typyCreator | ba8ad4c30322caa197714fdaac1a4388ad48b91d | [
"MIT"
] | null | null | null | import numpy as np
from copy import deepcopy
from collections import defaultdict
import subprocess
from ..util import box
from ..util import overPrint
from ..cy.lib import minDist,minDistCheck
class python_placer(object):
def placeMolecules(self, placement={},postFitBox=True,wrap=True,overlapCheck=True):
pstr = ... | 32.990991 | 96 | 0.640634 |
9e41b297ae0c94effa913226ee0f1d1e60e08df9 | 92,869 | py | Python | salt/utils/parsers.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | 1 | 2020-09-16T21:31:02.000Z | 2020-09-16T21:31:02.000Z | salt/utils/parsers.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | salt/utils/parsers.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Pedro Algarvio (pedro@algarvio.me)`
salt.utils.parsers
~~~~~~~~~~~~~~~~~~
This is where all the black magic happens on all of salt's CLI tools.
'''
from __future__ import absolute_import
# Import python libs
from __future__ import print_function
impo... | 37.207131 | 102 | 0.548859 |
9e41b2fec93318b69f644724b351b6205713d472 | 1,399 | py | Python | balutils/CatalogFeature/Detection.py | mattkwiecien/balutils | 9dcd5419a796e23df671fc4dc22c78cf7e2c61fc | [
"MIT"
] | null | null | null | balutils/CatalogFeature/Detection.py | mattkwiecien/balutils | 9dcd5419a796e23df671fc4dc22c78cf7e2c61fc | [
"MIT"
] | null | null | null | balutils/CatalogFeature/Detection.py | mattkwiecien/balutils | 9dcd5419a796e23df671fc4dc22c78cf7e2c61fc | [
"MIT"
] | null | null | null | from balutils.CatalogFeature import SimpleCatalog
import numpy as np
class Detection(SimpleCatalog):
"""
Adds detection catalog functionality to the catalog.
"""
def applyTo(self, catalog: Catalog) -> None:
self.parent.applyTo(catalog)
'''
Balrog stack versions 1.4 and... | 30.413043 | 92 | 0.567548 |
9e41e5c810d03bbcef36d54ea7e19b1fd0487255 | 15,617 | py | Python | helpers/ml.py | franloza/ETS-Challenge | eafec51ae6e4b4ca5ef12d58c8215dcbc0b28549 | [
"MIT"
] | null | null | null | helpers/ml.py | franloza/ETS-Challenge | eafec51ae6e4b4ca5ef12d58c8215dcbc0b28549 | [
"MIT"
] | null | null | null | helpers/ml.py | franloza/ETS-Challenge | eafec51ae6e4b4ca5ef12d58c8215dcbc0b28549 | [
"MIT"
] | null | null | null | """ml.py
This is the file that does the heavy lifting.
It contains the ML algorithms themselves:
- AUCRegressor: a custom class that optimizes AUC directly
- MLR: a linear regression with non-negativity constraints
- StackedClassifier: a custom class that combines several models
And some related functions... | 39.436869 | 83 | 0.599411 |
9e420c23fa33aa398137b1426b1da39433b32475 | 704 | py | Python | src/command_modules/azure-cli-consumption/azure/cli/command_modules/consumption/__init__.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-consumption/azure/cli/command_modules/consumption/__init__.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 3 | 2021-03-26T00:48:20.000Z | 2022-03-29T22:05:39.000Z | src/command_modules/azure-cli-consumption/azure/cli/command_modules/consumption/__init__.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 1 | 2017-12-28T04:51:44.000Z | 2017-12-28T04:51:44.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 46.933333 | 114 | 0.580966 |
9e420f6170c3a003f9dd6994c096cd4dc21eb342 | 5,522 | py | Python | pygcvs/parser.py | zsiciarz/pygcvs | ed5522ab9cf9237592a6af7a0bc8cad079afeb67 | [
"MIT"
] | null | null | null | pygcvs/parser.py | zsiciarz/pygcvs | ed5522ab9cf9237592a6af7a0bc8cad079afeb67 | [
"MIT"
] | null | null | null | pygcvs/parser.py | zsiciarz/pygcvs | ed5522ab9cf9237592a6af7a0bc8cad079afeb67 | [
"MIT"
] | null | null | null | import csv
import logging
logger = logging.getLogger(__name__)
CONSTELLATIONS = {
'01': 'AND',
'02': 'ANT',
'03': 'APS',
'04': 'AQR',
'05': 'AQL',
'06': 'ARA',
'07': 'ARI',
'08': 'AUR',
'09': 'BOO',
'10': 'CAE',
'11': 'CAM',
'12': 'CNC',
'13': 'CVN',
'14': 'CMA'... | 25.447005 | 83 | 0.493118 |
9e423d4b05ae397e1cfc4a58d5f32589e3e233d2 | 1,117 | py | Python | text.py | TemplarJQ/pycoindAnnotationVersion | d33b4c455c4654e0fde35500d230437210d5325e | [
"MIT"
] | null | null | null | text.py | TemplarJQ/pycoindAnnotationVersion | d33b4c455c4654e0fde35500d230437210d5325e | [
"MIT"
] | null | null | null | text.py | TemplarJQ/pycoindAnnotationVersion | d33b4c455c4654e0fde35500d230437210d5325e | [
"MIT"
] | null | null | null | import hashlib
from base58 import b58encode_check
from pycoind.script import script
from pycoind.script import scriptBuild
import ecdsa
def test_Tokenizer(my_addr):
pk_script = scriptBuild.get_pk_script(my_addr)
return pk_script
def test_de_Tokenizer(pk_script):
return script.Tokenizer(pk_script)
d... | 25.976744 | 85 | 0.766338 |
9e4249765cb96a5bf32bbed8a2687af45bc7bf16 | 19,719 | py | Python | sdk/metricsadvisor/azure-ai-metricsadvisor/tests/base_testcase_aad.py | jiriburant/azure-sdk-for-python | a3b20fd3cf30145ee74fa3dfafbdce98ea9f6ef0 | [
"MIT"
] | null | null | null | sdk/metricsadvisor/azure-ai-metricsadvisor/tests/base_testcase_aad.py | jiriburant/azure-sdk-for-python | a3b20fd3cf30145ee74fa3dfafbdce98ea9f6ef0 | [
"MIT"
] | 1 | 2021-05-31T08:56:01.000Z | 2021-05-31T08:56:01.000Z | sdk/metricsadvisor/azure-ai-metricsadvisor/tests/base_testcase_aad.py | jiriburant/azure-sdk-for-python | a3b20fd3cf30145ee74fa3dfafbdce98ea9f6ef0 | [
"MIT"
] | null | null | null | # coding=utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# ----------------------------------------------------------------------... | 44.512415 | 137 | 0.60211 |
9e42ef0c0b08d09353aa5cfd13318ca90fd41719 | 175 | py | Python | src/__init__.py | orcasound/orcaal-research | 7b9bf14c01b73696fcb604a5318148e6c4f795cd | [
"MIT"
] | 7 | 2020-11-13T17:36:46.000Z | 2022-01-27T00:55:40.000Z | src/__init__.py | rahulraikwar00/orcaal-research | 1227e61a4535b237cae0f68d7eb25ef2617b06cd | [
"MIT"
] | null | null | null | src/__init__.py | rahulraikwar00/orcaal-research | 1227e61a4535b237cae0f68d7eb25ef2617b06cd | [
"MIT"
] | 6 | 2020-08-31T19:12:40.000Z | 2021-12-10T01:34:46.000Z | import src.preprocessing_script
import src.active_learning_script
import src.training_script
__all__ = ["preprocessing_script", "active_learning_script", "training_script"]
| 25 | 79 | 0.845714 |
9e42ff098e68c6a3b0c2f1106e9852d16417689e | 1,514 | py | Python | multimodal_affinities/bokeh_server/config/combined_embeddings_config.py | amzn/multimodal-affinities | 23045eb6a9387ce0c9c6f5a15227cf1cc4282626 | [
"CC-BY-4.0"
] | 6 | 2021-07-06T12:48:18.000Z | 2021-12-06T01:52:24.000Z | multimodal_affinities/bokeh_server/config/combined_embeddings_config.py | amzn/multimodal-affinities | 23045eb6a9387ce0c9c6f5a15227cf1cc4282626 | [
"CC-BY-4.0"
] | null | null | null | multimodal_affinities/bokeh_server/config/combined_embeddings_config.py | amzn/multimodal-affinities | 23045eb6a9387ce0c9c6f5a15227cf1cc4282626 | [
"CC-BY-4.0"
] | 5 | 2021-07-10T08:09:17.000Z | 2022-03-24T16:27:15.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: CC-BY-4.0
from bokeh.models.widgets import Select, Slider
combined_embeddings_config = {
'concat': {
},
'kernel_pca': {
'combine_kernelpca_n_components': {
'type': Slider,
'title... | 24.819672 | 85 | 0.414135 |
9e43324b1a0e9f9a39d4bfba6e2ded1e13d6670d | 84,452 | py | Python | PyQuante/Basis/ccpvtz.py | certik/pyquante | f5cae27f519b1c1b70afbebfe8b5c83cb4b3c2a6 | [
"DOC"
] | 8 | 2016-08-26T14:57:01.000Z | 2019-12-23T07:39:37.000Z | PyQuante/Basis/ccpvtz.py | nicodgomez/pyquante | 483571110b83cab406d3d4d8f2eba5cae0a2da58 | [
"DOC"
] | 1 | 2021-06-11T18:51:34.000Z | 2021-06-11T18:56:26.000Z | PyQuante/Basis/ccpvtz.py | globulion/pyq-mod | ee32b6685e9c1e915c5c515ef7ab83adc200fa9b | [
"DOC"
] | 8 | 2016-02-23T19:22:11.000Z | 2021-08-28T12:12:59.000Z | """\
basis_ccpvtz.dat basis set for use with PyQuante
This program is part of the PyQuante quantum chemistry program suite.
Copyright (c) 2004, Richard P. Muller. All Rights Reserved.
PyQuante version 1.2 and later is covered by the modified BSD
license. Please see the file LICENSE that is part of this
distri... | 43.939646 | 70 | 0.623976 |
9e4342adc70a45c2dce6637a92d568440e9f4613 | 2,468 | py | Python | examples/extract_features_of_hpatches.py | EnricoBeltramo/geodesc | 61a5e501273c2a4fda7438541c1c96c13103afc5 | [
"MIT"
] | null | null | null | examples/extract_features_of_hpatches.py | EnricoBeltramo/geodesc | 61a5e501273c2a4fda7438541c1c96c13103afc5 | [
"MIT"
] | null | null | null | examples/extract_features_of_hpatches.py | EnricoBeltramo/geodesc | 61a5e501273c2a4fda7438541c1c96c13103afc5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Copyright 2018, Zixin Luo, HKUST.
Feature extraction of HPatches dataset.
"""
from __future__ import print_function
import os
import sys
import cv2
import numpy as np
import tensorflow as tf
CURDIR = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(CURDIR, '..')))
fr... | 34.760563 | 94 | 0.635332 |
9e43846df452699b1e6a4a685e639499f33b15b5 | 1,342 | py | Python | test/scenarios/test_tar.py | javister/krista-backup | f8852c20afdf483e842ff22497bdd80eedc30c78 | [
"Apache-2.0"
] | 7 | 2020-07-28T06:53:02.000Z | 2022-03-18T05:23:03.000Z | test/scenarios/test_tar.py | javister/krista-backup | f8852c20afdf483e842ff22497bdd80eedc30c78 | [
"Apache-2.0"
] | 1 | 2020-11-25T16:13:26.000Z | 2020-11-25T16:13:26.000Z | test/scenarios/test_tar.py | javister/krista-backup | f8852c20afdf483e842ff22497bdd80eedc30c78 | [
"Apache-2.0"
] | 1 | 2020-07-28T13:47:09.000Z | 2020-07-28T13:47:09.000Z | # -*- coding: utf-8 -*-
from test.docker_utils import Strategies, Tools
import pytest
@pytest.mark.tar
class TestFullDump(object):
def test_full_dump_default(self, container):
container = container()
assert Strategies.run_full_dump_default(container)
assert Tools.check_trigger_success(co... | 31.209302 | 72 | 0.721311 |
9e43a0a7550a7dfc07152de85520c60f11ea6c0a | 946 | py | Python | ngsutils/fastq/t/test_truncate.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 57 | 2015-03-09T01:26:45.000Z | 2022-02-22T07:26:01.000Z | ngsutils/fastq/t/test_truncate.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 33 | 2015-02-03T23:24:46.000Z | 2022-03-16T20:08:10.000Z | ngsutils/fastq/t/test_truncate.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 33 | 2015-01-18T16:47:47.000Z | 2022-02-22T07:28:09.000Z | #!/usr/bin/env python
'''
Tests for fastqutils truncate
'''
import unittest
import StringIO
import ngsutils.fastq.truncate
from ngsutils.fastq import FASTQ
class TruncateTest(unittest.TestCase):
def testTruncate(self):
fq = StringIO.StringIO('''\
@foo
ACGTACGT
+
;;;;;;;;
@bar comment
ACGTACGT
+
;;;;;;;;... | 14.78125 | 89 | 0.620507 |
9e43ae50545d99918755616efdcf2d43a3c3bde1 | 6,863 | py | Python | test/integration/ggrc_basic_permissions/test_audit_snapshot_rbac.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | test/integration/ggrc_basic_permissions/test_audit_snapshot_rbac.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | 10 | 2018-07-06T00:04:23.000Z | 2021-02-26T21:13:20.000Z | test/integration/ggrc_basic_permissions/test_audit_snapshot_rbac.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2017-11-11T22:16:56.000Z | 2017-11-11T22:16:56.000Z | # Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test audit RBAC"""
import itertools
from os.path import abspath
from os.path import dirname
from os.path import join
from collections import defaultdict
from integration.ggrc import TestCase
from integr... | 32.372642 | 78 | 0.665161 |
9e43cd45c5eb7138a424e5887b3838d01645a949 | 9,635 | py | Python | birdsonganalysis/songfeatures.py | gnouveau/birdsonganalysis | 58032538c63e9506d386e5fff5c2e8321c1d2983 | [
"MIT"
] | null | null | null | birdsonganalysis/songfeatures.py | gnouveau/birdsonganalysis | 58032538c63e9506d386e5fff5c2e8321c1d2983 | [
"MIT"
] | null | null | null | birdsonganalysis/songfeatures.py | gnouveau/birdsonganalysis | 58032538c63e9506d386e5fff5c2e8321c1d2983 | [
"MIT"
] | null | null | null | """
Analyses the features of bird song.
Analysis of the song are taken from SAT: http://soundanalysispro.com/matlab-sat
"""
import os
from collections import defaultdict
import numpy as np
from aubio import pitch as aubio_pitch
import libtfr
from .utils import get_windows, cepstrum
from .constants import FREQ_RANG... | 32.883959 | 88 | 0.649611 |
9e43e51566a4518d9c1c8a29c7551ead618dae1d | 718 | py | Python | setup.py | jadecastro/stlcg | a4e9a33eff6299c1dfc9051fed1d16e5220ff632 | [
"MIT"
] | 1 | 2021-02-11T12:01:41.000Z | 2021-02-11T12:01:41.000Z | setup.py | jadecastro/stlcg | a4e9a33eff6299c1dfc9051fed1d16e5220ff632 | [
"MIT"
] | null | null | null | setup.py | jadecastro/stlcg | a4e9a33eff6299c1dfc9051fed1d16e5220ff632 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="stlcg",
version="0.0.1",
author="Karen Leung and Nikos Arechiga",
author_email="karenl7@stanford.edu and nikos.arechiga@tri.global",
description="A toolbox to compute the robustness of STL... | 32.636364 | 107 | 0.688022 |
9e43edebf83164519d1fedcd08b9488bdccd8efb | 7,973 | py | Python | audioread/ffdec.py | jcsaaddupuy/audioread | 00aa4a41553e5df5f568f38558c3e2d76d34d906 | [
"MIT"
] | null | null | null | audioread/ffdec.py | jcsaaddupuy/audioread | 00aa4a41553e5df5f568f38558c3e2d76d34d906 | [
"MIT"
] | null | null | null | audioread/ffdec.py | jcsaaddupuy/audioread | 00aa4a41553e5df5f568f38558c3e2d76d34d906 | [
"MIT"
] | null | null | null | # This file is part of audioread.
# Copyright 2014, Adrian Sampson.
#
# 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... | 32.542857 | 76 | 0.563401 |
9e4405eab0614b5a9983a1fc1bbb45d51185d37c | 3,846 | py | Python | src/text.py | ttaoREtw/semi-tts | 46750fc68d1547e82bda9341f5029595ded984c8 | [
"MIT"
] | 40 | 2020-07-22T04:49:43.000Z | 2021-12-19T15:11:30.000Z | src/text.py | ttaoREtw/semi-tts | 46750fc68d1547e82bda9341f5029595ded984c8 | [
"MIT"
] | 1 | 2021-12-13T02:39:29.000Z | 2021-12-13T02:39:29.000Z | src/text.py | ttaoREtw/semi-tts | 46750fc68d1547e82bda9341f5029595ded984c8 | [
"MIT"
] | 4 | 2020-08-16T08:43:40.000Z | 2021-02-19T09:53:26.000Z | """Modified from tensorflow_datasets.features.text.*
Reference: https://www.tensorflow.org/datasets/api_docs/python/tfds/features/text_lib
"""
import abc
import numpy as np
import pandas as pd
from os.path import basename
SEP = '\t'
class _BaseTextEncoder(abc.ABC):
@abc.abstractmethod
def encode(self):
... | 29.136364 | 96 | 0.621425 |
9e4431c38a2a26c436dd064670967617d3520a5d | 1,476 | py | Python | handcam/scratch/alpha_matting_overlay.py | luketaverne/handcam | e294ebf2be8b5512c8607d3c8ba3f6946f3b8e30 | [
"MIT"
] | 1 | 2022-02-10T13:19:20.000Z | 2022-02-10T13:19:20.000Z | handcam/scratch/alpha_matting_overlay.py | luketaverne/handcam | e294ebf2be8b5512c8607d3c8ba3f6946f3b8e30 | [
"MIT"
] | null | null | null | handcam/scratch/alpha_matting_overlay.py | luketaverne/handcam | e294ebf2be8b5512c8607d3c8ba3f6946f3b8e30 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import scipy.misc
from scipy.ndimage.interpolation import shift
# Read the images
# foreground = cv2.imread("/local/home/luke/datasets/handcam/greenscreens/88-right2-image.png")
# background = cv2.imread("beach-drink.jpg")
# alpha = cv2.imread("/local/home/luke/datasets/handcam/greenscree... | 28.384615 | 112 | 0.73916 |
9e44601b42272210c13d57a460e96e3ef5f9cf43 | 3,039 | py | Python | test/vanilla/low-level/Expected/AcceptanceTests/ReportLowLevel/reportlowlevel/aio/_auto_rest_report_service.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/vanilla/low-level/Expected/AcceptanceTests/ReportLowLevel/reportlowlevel/aio/_auto_rest_report_service.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/vanilla/low-level/Expected/AcceptanceTests/ReportLowLevel/reportlowlevel/aio/_auto_rest_report_service.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 42.208333 | 100 | 0.684436 |
9e4464f78a30c6be93280a7f225f5fae5fb4830f | 29,357 | py | Python | tofu/tests/tests04_spectro/test_01_fit12d.py | WinstonLHS/tofu | c95b2eb6aedcf4bac5676752b9635b78f31af6ca | [
"MIT"
] | 6 | 2016-09-15T17:01:19.000Z | 2017-03-06T22:53:10.000Z | tofu/tests/tests04_spectro/test_01_fit12d.py | WinstonLHS/tofu | c95b2eb6aedcf4bac5676752b9635b78f31af6ca | [
"MIT"
] | 9 | 2016-09-14T17:23:52.000Z | 2017-04-13T07:30:07.000Z | tofu/tests/tests04_spectro/test_01_fit12d.py | Didou09/tofu | 4a4e1f058bab8e7556ed9d518f90807cec605476 | [
"MIT"
] | null | null | null |
"""
This module contains tests for tofu.geom in its structured version
"""
# Built-in
import os
import sys
import warnings
import itertools as itt
# Standard
import numpy as np
import scipy.constants as scpct
import matplotlib.pyplot as plt
# tofu-specific
from tofu import __version__
import tofu as tf
import tofu.... | 29.895112 | 79 | 0.480703 |
9e446fbb7b5c6e9517e0440dbd89b3809904ed5f | 1,011 | py | Python | recipeProject/recipeProject/urls.py | Mazziitoozz/Django_REST_recipe_api | b248342aed1bda5d4d39a17509dcd11962fecf10 | [
"MIT"
] | null | null | null | recipeProject/recipeProject/urls.py | Mazziitoozz/Django_REST_recipe_api | b248342aed1bda5d4d39a17509dcd11962fecf10 | [
"MIT"
] | null | null | null | recipeProject/recipeProject/urls.py | Mazziitoozz/Django_REST_recipe_api | b248342aed1bda5d4d39a17509dcd11962fecf10 | [
"MIT"
] | null | null | null | """recipeProject URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | 38.884615 | 77 | 0.723046 |
9e448144e6a20f05160242ace1daef5f68d37405 | 1,212 | py | Python | examples/bimanualPNP_test.py | jc-bao/panda-gym | 1860bf7459d50fc1a3677d937c984034fd936a7e | [
"MIT"
] | 1 | 2021-12-24T01:43:14.000Z | 2021-12-24T01:43:14.000Z | examples/bimanualPNP_test.py | jc-bao/panda-gym | 1860bf7459d50fc1a3677d937c984034fd936a7e | [
"MIT"
] | null | null | null | examples/bimanualPNP_test.py | jc-bao/panda-gym | 1860bf7459d50fc1a3677d937c984034fd936a7e | [
"MIT"
] | null | null | null | import gym
import panda_gym
import numpy as np
def policy(obs, timestep):
timestep = timestep%50
goal_1 = obs['desired_goal'][:3]
goal_2 = obs['desired_goal'][3:]
obs = obs['observation']
robot1_obs = obs[:7]
robot2_obs = obs[7:14]
task_obs = obs[14:]
obj_pos_1 = task_obs[:3]
obj_po... | 25.787234 | 66 | 0.618812 |
9e449573d52bcf47fec32b6669966568fd84e3a2 | 23,465 | py | Python | Sklearn_scipy_numpy/source/sklearn/datasets/base.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2019-06-27T12:09:44.000Z | 2019-06-27T12:09:44.000Z | Sklearn_scipy_numpy/source/sklearn/datasets/base.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | null | null | null | Sklearn_scipy_numpy/source/sklearn/datasets/base.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | null | null | null | """
Base IO code for all datasets
"""
# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import os
import csv
import sys
import shutil
from os import environ... | 34.86627 | 79 | 0.601151 |
9e4496dc3db905173eccc731b31bf725a248546e | 1,950 | py | Python | autobias/modules/attention_layers.py | chrisc36/autobias | df1120d46adccf024c8dc59f86dd95f2c710fb52 | [
"Apache-2.0"
] | 3 | 2020-12-27T11:42:14.000Z | 2021-04-12T14:19:39.000Z | autobias/modules/attention_layers.py | chrisc36/autobias | df1120d46adccf024c8dc59f86dd95f2c710fb52 | [
"Apache-2.0"
] | 1 | 2020-12-28T01:36:46.000Z | 2020-12-28T01:36:46.000Z | autobias/modules/attention_layers.py | chrisc36/autobias | df1120d46adccf024c8dc59f86dd95f2c710fb52 | [
"Apache-2.0"
] | null | null | null | import torch
from torch import nn
from torch.nn import functional as F
from autobias.modules.layers import Layer
from autobias.utils import ops
class DotAttention(Layer):
def __init__(self, dim, transposed_priors=True):
super().__init__()
self.dim = dim
self.transposed_priors = transposed_priors
se... | 28.676471 | 89 | 0.673846 |
9e449f6f69fc54acf72f42a9c1d1b893d63054ce | 2,366 | py | Python | scripts/make.py | msikma/Complete-Fire-Red-Upgrade | 6a15ece5c180b9d98e1f8cc78e7e8f62f5e48708 | [
"WTFPL"
] | null | null | null | scripts/make.py | msikma/Complete-Fire-Red-Upgrade | 6a15ece5c180b9d98e1f8cc78e7e8f62f5e48708 | [
"WTFPL"
] | null | null | null | scripts/make.py | msikma/Complete-Fire-Red-Upgrade | 6a15ece5c180b9d98e1f8cc78e7e8f62f5e48708 | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
import shutil
import sys
import os
############
#Options go here.
############
ROM_NAME = "BPRE0.gba" #the name of your rom
OFFSET_TO_PUT = 0x900000
SEARCH_FREE_SPACE = False #Set to True if you want the script to search for free space;Set to False if you don't want to search for free space a... | 24.905263 | 179 | 0.664835 |
9e44fd68f8fd8c1bab6b85704bc0f507a539d8c8 | 5,148 | py | Python | community_profiles/datasets/violations.py | nickhand/community-profiles | 8b05e8be5448fd6e75c1c7757592d319ccc6ce13 | [
"MIT"
] | null | null | null | community_profiles/datasets/violations.py | nickhand/community-profiles | 8b05e8be5448fd6e75c1c7757592d319ccc6ce13 | [
"MIT"
] | 3 | 2019-09-25T18:34:29.000Z | 2019-12-30T19:01:53.000Z | community_profiles/datasets/violations.py | nickhand/community-profiles | 8b05e8be5448fd6e75c1c7757592d319ccc6ce13 | [
"MIT"
] | 2 | 2019-09-23T14:13:22.000Z | 2019-09-23T19:27:10.000Z | import carto2gpd
import pandas as pd
from . import EPSG, DEFAULT_YEAR
from .core import *
from .regions import *
__all__ = ["ParkingViolations", "StreetCodeViolations", "LIViolations", "LIRequests"]
class ParkingViolations(DatasetWithYear):
"""
Parking Violations
Notes
-----
Available: 2012-2017... | 28.285714 | 85 | 0.595377 |
9e450ee741bae3253f65d91717758fde9d463856 | 11,186 | py | Python | src/calculation_helper.py | lxzmxl/GEMSEC | 1b68ebc25542cabb914d3cb65555fe29c640aeb0 | [
"MIT"
] | null | null | null | src/calculation_helper.py | lxzmxl/GEMSEC | 1b68ebc25542cabb914d3cb65555fe29c640aeb0 | [
"MIT"
] | null | null | null | src/calculation_helper.py | lxzmxl/GEMSEC | 1b68ebc25542cabb914d3cb65555fe29c640aeb0 | [
"MIT"
] | 1 | 2021-03-18T07:38:12.000Z | 2021-03-18T07:38:12.000Z | import networkx as nx
import numpy as np
import random
import math
import community
from collections import Counter
from tqdm import tqdm
from sklearn.cluster import KMeans
def normalized_overlap(g, node_1, node_2):
"""
Function to calculate the normalized neighborhood overlap.
:param g: NX graph.
:par... | 33.192878 | 123 | 0.605578 |
9e4512a9a0dfe7ed6a48d464aece5f29d426eff0 | 4,985 | py | Python | sample_inference.py | TUI-NICR/multi-task-person-perception | 81666eb42be9522fd726448e82e8bbf04138ffa3 | [
"BSD-3-Clause"
] | 4 | 2021-07-28T06:26:07.000Z | 2022-01-24T09:31:34.000Z | sample_inference.py | TUI-NICR/multi-task-person-perception | 81666eb42be9522fd726448e82e8bbf04138ffa3 | [
"BSD-3-Clause"
] | null | null | null | sample_inference.py | TUI-NICR/multi-task-person-perception | 81666eb42be9522fd726448e82e8bbf04138ffa3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
.. codeauthor:: Dominik Höchemer <dominik.hoechemer@tu-ilmenau.de>
.. codeauthor:: Daniel Seichter <daniel.seichter@tu-ilmenau.de>
"""
import argparse as ap
import json
import os
import matplotlib.pyplot as plt
import numpy as np
import torch
from src.data.postproces... | 34.143836 | 80 | 0.601204 |
9e45159300eb9a171b26ed3972453105d2fecda6 | 38 | py | Python | pyronear/datasets/wildfire/__init__.py | JoaoFdC/PyroNear | ca56316d5ad986789feace9dd913115596f6c2ca | [
"MIT"
] | null | null | null | pyronear/datasets/wildfire/__init__.py | JoaoFdC/PyroNear | ca56316d5ad986789feace9dd913115596f6c2ca | [
"MIT"
] | null | null | null | pyronear/datasets/wildfire/__init__.py | JoaoFdC/PyroNear | ca56316d5ad986789feace9dd913115596f6c2ca | [
"MIT"
] | null | null | null | from .fire_labeler import FireLabeler
| 19 | 37 | 0.868421 |
9e4535749379a7fdea8b9ee62c67bd430aa2c4bb | 845 | py | Python | ML/urls.py | hbc123ht/Django-Speech-Accent-Recognition-demo | 6f0d15f10e15436fcf952f6ceb91f6fd75c09592 | [
"MIT"
] | null | null | null | ML/urls.py | hbc123ht/Django-Speech-Accent-Recognition-demo | 6f0d15f10e15436fcf952f6ceb91f6fd75c09592 | [
"MIT"
] | null | null | null | ML/urls.py | hbc123ht/Django-Speech-Accent-Recognition-demo | 6f0d15f10e15436fcf952f6ceb91f6fd75c09592 | [
"MIT"
] | null | null | null | """web URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vie... | 35.208333 | 77 | 0.705325 |
9e453e57986026d96fb63fc4a2e3855b98e8b108 | 877 | py | Python | setup.py | praekeltfoundation/vumi-unidecode-middleware | 05f406801794246292b97f449a7e5ab1e10f6001 | [
"BSD-3-Clause"
] | null | null | null | setup.py | praekeltfoundation/vumi-unidecode-middleware | 05f406801794246292b97f449a7e5ab1e10f6001 | [
"BSD-3-Clause"
] | 3 | 2018-02-05T14:48:27.000Z | 2018-02-07T09:10:11.000Z | setup.py | praekeltfoundation/vumi-unidecode-middleware | 05f406801794246292b97f449a7e5ab1e10f6001 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name='vumi_unidecode_middleware',
version='0.0.2',
url='https://github.com/praekeltfoundation/vumi-unidecode-middleware',
license='BSD',
description='Vumi middleware that runs message content through unidecode',
long_desc... | 30.241379 | 78 | 0.63626 |
9e455b94150cde90ada8654a3bda8b212b963bc1 | 9,791 | py | Python | theano_models/dA/test_dA.py | lzamparo/SdA_reduce | 1dc11f23b395f316df5f41448542d2d5c2e619ff | [
"BSD-3-Clause"
] | null | null | null | theano_models/dA/test_dA.py | lzamparo/SdA_reduce | 1dc11f23b395f316df5f41448542d2d5c2e619ff | [
"BSD-3-Clause"
] | null | null | null | theano_models/dA/test_dA.py | lzamparo/SdA_reduce | 1dc11f23b395f316df5f41448542d2d5c2e619ff | [
"BSD-3-Clause"
] | null | null | null | # Experiment script to compare ReLU dAs versus Gaussian-Bernoulli dAs
# Train each with varying amounts of noise,
import numpy
import theano
import theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams
from AutoEncoder import AutoEncoder
from AutoEncoder import ReluAutoEncoder
from AutoEnco... | 37.51341 | 135 | 0.616893 |
9e45804e8934eac92ff33b4367658e55baf54ada | 1,331 | py | Python | mmdet/datasets/compute_mean_var.py | Ixuanzhang/mmdet | a8f8397e49e3091f23262f8ace9641ee2c6be746 | [
"Apache-2.0"
] | null | null | null | mmdet/datasets/compute_mean_var.py | Ixuanzhang/mmdet | a8f8397e49e3091f23262f8ace9641ee2c6be746 | [
"Apache-2.0"
] | null | null | null | mmdet/datasets/compute_mean_var.py | Ixuanzhang/mmdet | a8f8397e49e3091f23262f8ace9641ee2c6be746 | [
"Apache-2.0"
] | null | null | null | #-*-coding:utf-8-*-
import os
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
# from scipy.misc import imread
from imageio import imread
filepath = r'/home/stella/zx/mmdetection-master/data/coco/train2017' # 数据集目录
pathDir = os.listdir(filepath)
R_channel = 0
G_channel = 0
B_channel = 0
for i... | 32.463415 | 77 | 0.658152 |
9e4595f90f28f06080aef337b1a778fbcdc504f5 | 6,534 | py | Python | shaker/ebs.py | benjaminws/shaker | d9195422b8bef64bc751fffee8706f1abbd656a3 | [
"BSD-2-Clause"
] | 1 | 2015-11-05T10:28:03.000Z | 2015-11-05T10:28:03.000Z | shaker/ebs.py | benjaminws/shaker | d9195422b8bef64bc751fffee8706f1abbd656a3 | [
"BSD-2-Clause"
] | null | null | null | shaker/ebs.py | benjaminws/shaker | d9195422b8bef64bc751fffee8706f1abbd656a3 | [
"BSD-2-Clause"
] | null | null | null | import os
import time
import email.mime
import boto
import boto.ec2
from boto.ec2.blockdevicemapping import EBSBlockDeviceType, BlockDeviceMapping
import shaker.log
import shaker.ami
LOG = shaker.log.getLogger(__name__)
RUN_INSTANCE_TIMEOUT = 180 # seconds
INSTANCE_TYPES = [
't1.micro',
'm1.small',
'm2.... | 37.988372 | 78 | 0.569483 |
9e45b73d08315aaa5770ad5f620934e0e80ebd70 | 1,675 | py | Python | src/models/head.py | takedarts/DenseResNet | d5f9c143ed3c484436a2a5bac366c3795e5d47ec | [
"MIT"
] | null | null | null | src/models/head.py | takedarts/DenseResNet | d5f9c143ed3c484436a2a5bac366c3795e5d47ec | [
"MIT"
] | null | null | null | src/models/head.py | takedarts/DenseResNet | d5f9c143ed3c484436a2a5bac366c3795e5d47ec | [
"MIT"
] | null | null | null | import torch.nn as nn
import collections
class BasicHead(nn.Sequential):
def __init__(self, in_channels, out_channels, **kwargs):
super().__init__()
class PreActHead(nn.Sequential):
def __init__(self, in_channels, out_channels, normalization, activation, **kwargs):
super().__i... | 36.413043 | 93 | 0.605373 |
9e45bdf985128f0a55a8dc4c6fa05b107db62193 | 3,484 | py | Python | pytorch_toolkit/formula_recognition/im2latex/models/im2latex_model.py | LeonidBeynenson/openvino_training_extensions | c7e6d58c9e715c0f38c864c7d47910362d322aac | [
"Apache-2.0"
] | 3 | 2020-12-29T02:47:32.000Z | 2021-11-12T08:12:51.000Z | pytorch_toolkit/formula_recognition/im2latex/models/im2latex_model.py | maxpark/openvino_training_extensions | 98450ed8aeab8a003e1d19b49b6fb0da60388605 | [
"Apache-2.0"
] | null | null | null | pytorch_toolkit/formula_recognition/im2latex/models/im2latex_model.py | maxpark/openvino_training_extensions | 98450ed8aeab8a003e1d19b49b6fb0da60388605 | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2020 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.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... | 39.146067 | 119 | 0.687428 |
9e45ceb36d0204c92f4a2126ab1cdba07e02b612 | 195,186 | py | Python | swift/common/utils.py | xiaoguaishou/swift | 166b85e468cfeed15171568329013e031acf586b | [
"Apache-2.0"
] | null | null | null | swift/common/utils.py | xiaoguaishou/swift | 166b85e468cfeed15171568329013e031acf586b | [
"Apache-2.0"
] | null | null | null | swift/common/utils.py | xiaoguaishou/swift | 166b85e468cfeed15171568329013e031acf586b | [
"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... | 34.786313 | 79 | 0.61591 |
9e45d2622b35d5900c10269efc90fdf8ec980551 | 18,028 | py | Python | demo_multi_thread.py | fofore/new-4d2-8-16u2 | 4acffcc5763f77f202894ece9b39030a76a2e8ed | [
"MIT"
] | null | null | null | demo_multi_thread.py | fofore/new-4d2-8-16u2 | 4acffcc5763f77f202894ece9b39030a76a2e8ed | [
"MIT"
] | null | null | null | demo_multi_thread.py | fofore/new-4d2-8-16u2 | 4acffcc5763f77f202894ece9b39030a76a2e8ed | [
"MIT"
] | 1 | 2019-07-31T01:41:11.000Z | 2019-07-31T01:41:11.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Jiasen Lu, Jianwei Yang, based on code from Ross Girshick
# --------------------------------------------------------... | 38.357447 | 123 | 0.582039 |
9e46000c18f50e99f9850f157766226b8df7b0ae | 13,750 | py | Python | stage_1_disentangle/src_unis/model.py | grtzsohalf/Audio-Phonetic-and-Semantic-Embedding | 1207cb61ec4587f38817b030a1e92cb315ebd178 | [
"MIT"
] | 2 | 2019-08-09T00:49:25.000Z | 2019-09-30T06:37:07.000Z | stage_1_disentangle/src_unis/model.py | grtzsohalf/Audio-Phonetic-and-Semantic-Embedding | 1207cb61ec4587f38817b030a1e92cb315ebd178 | [
"MIT"
] | null | null | null | stage_1_disentangle/src_unis/model.py | grtzsohalf/Audio-Phonetic-and-Semantic-Embedding | 1207cb61ec4587f38817b030a1e92cb315ebd178 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
# from tensorflow.contrib.rnn.python.ops import core_rnn
# from tensorflow.contrib.rnn.python.ops import core_rnn_cell
import tensorflow.contrib.rnn as core_rnn
from tensorflow.contrib.legacy_seq2seq.python.ops import seq2seq
from tensorflow.python.framework import dtypes
imp... | 55.443548 | 117 | 0.636945 |
9e469bbab0cc5240fbc32dc43b192896a5173f0b | 75,412 | py | Python | build/lib/MIDASpy/midas_base.py | MIDASverse/pyMIDAS | 81a2537056908adcaf49fbad9fea1ea8e51ea50d | [
"Apache-2.0"
] | 48 | 2020-10-09T04:28:43.000Z | 2022-03-29T21:27:12.000Z | build/lib/MIDASpy/midas_base.py | MIDASverse/pyMIDAS | 81a2537056908adcaf49fbad9fea1ea8e51ea50d | [
"Apache-2.0"
] | 18 | 2020-09-29T10:58:31.000Z | 2022-03-26T13:47:50.000Z | build/lib/MIDASpy/midas_base.py | MIDASverse/pyMIDAS | 81a2537056908adcaf49fbad9fea1ea8e51ea50d | [
"Apache-2.0"
] | 13 | 2020-10-09T04:21:26.000Z | 2022-03-01T22:07:09.000Z | # ==============================================================================
#
# 888b d888 8888888 8888888b. d8888 .d8888b.
# 8888b d8888 888 888 "Y88b d88888 d88P Y88b
# 88888b.d88888 888 888 888 d88P888 Y88b.
# 888Y88888P888 888 888 888 d88P 888 "Y88... | 42.461712 | 113 | 0.604824 |
9e46b2779a559d118572897908ea36e991b7ca33 | 6,037 | py | Python | assignment1/cs231n/classifiers/linear_classifier.py | zhongnanf/cs231n_2016_hws | d7943535e1d3c96ea6fd38badc28701852b9b056 | [
"MIT"
] | null | null | null | assignment1/cs231n/classifiers/linear_classifier.py | zhongnanf/cs231n_2016_hws | d7943535e1d3c96ea6fd38badc28701852b9b056 | [
"MIT"
] | null | null | null | assignment1/cs231n/classifiers/linear_classifier.py | zhongnanf/cs231n_2016_hws | d7943535e1d3c96ea6fd38badc28701852b9b056 | [
"MIT"
] | null | null | null | import numpy as np
from cs231n.classifiers.linear_svm import *
from cs231n.classifiers.softmax import *
class LinearClassifier(object):
def __init__(self):
self.W = None
def train(self, X, y, learning_rate=1e-3, reg=1e-5, num_iters=100,
batch_size=200, verbose=False):
"""
... | 45.052239 | 97 | 0.451549 |
9e46bff598800b62ff0be54316730e8243507cab | 321 | py | Python | catbridge_tools/logs.py | victoriamorris/CatBridge | a91164f85ffcb93eb17c786d4a178a559242f7c9 | [
"MIT"
] | null | null | null | catbridge_tools/logs.py | victoriamorris/CatBridge | a91164f85ffcb93eb17c786d4a178a559242f7c9 | [
"MIT"
] | null | null | null | catbridge_tools/logs.py | victoriamorris/CatBridge | a91164f85ffcb93eb17c786d4a178a559242f7c9 | [
"MIT"
] | null | null | null | import logging
logging.basicConfig(level=logging.INFO,
format='[%(asctime)s]\t{%(pathname)s:%(lineno)d}\t%(levelname)s\t%(message)s',
datefmt='%Y-%m-%d %H:%M:%S',
filename='catbridge.log',
filemode='w')
logger = logging.getLogger()
... | 35.666667 | 99 | 0.504673 |
9e46dd266c2d591aec86481ae2c8cbd1924fbb10 | 4,224 | py | Python | src/emotion/evaluation/convert_to_span.py | Thanatoz-1/EmotionStimuli | f7774cf77ec2a66949949905ed70d62117179666 | [
"BSD-3-Clause"
] | null | null | null | src/emotion/evaluation/convert_to_span.py | Thanatoz-1/EmotionStimuli | f7774cf77ec2a66949949905ed70d62117179666 | [
"BSD-3-Clause"
] | 2 | 2021-07-28T10:38:03.000Z | 2021-07-31T10:37:09.000Z | src/emotion/evaluation/convert_to_span.py | Thanatoz-1/EmotionStimuli | f7774cf77ec2a66949949905ed70d62117179666 | [
"BSD-3-Clause"
] | null | null | null | __author__ = "Maximilian Wegge"
from typing import List
from .align_spans import gen_poss_align, align_spans
def conv2span(annot_brown: list) -> List[dict]:
"""Extract the spans (i.e. consecutive sequences of either
'O'- or 'B'/'I'-tags) from a sentences's annotation.
Args:
annot_brown (list): l... | 30.832117 | 100 | 0.540246 |
9e46f1ca6185395ec35b4de61f9dbdf6caecffd8 | 912 | py | Python | pymmbot/coinpit/crypto.py | coinpit/pymmbot | 88efc8b06b2e5f7d871e22e505998e8e44c73de6 | [
"MIT"
] | 7 | 2018-02-25T08:49:02.000Z | 2019-11-18T00:43:04.000Z | pymmbot/coinpit/crypto.py | coinpit/pymmbot | 88efc8b06b2e5f7d871e22e505998e8e44c73de6 | [
"MIT"
] | 2 | 2017-08-15T18:05:38.000Z | 2017-08-17T00:26:36.000Z | pymmbot/coinpit/crypto.py | coinpit/pymmbot | 88efc8b06b2e5f7d871e22e505998e8e44c73de6 | [
"MIT"
] | 3 | 2017-11-15T23:34:01.000Z | 2020-11-26T16:47:20.000Z | import logging
import json
from nacl.bindings import crypto_sign, crypto_sign_BYTES
from nacl.encoding import Base64Encoder
logger = logging.getLogger('root')
def get_auth(user_id, name, secret, nonce, method, uri, body=None):
if body is not None:
if not isinstance(body, str):
try:
... | 43.428571 | 88 | 0.628289 |
9e46feee00382a48f209583bd67af06da047e07e | 900 | py | Python | forest/visitor/context.py | Marghrid/Forest | 2f1730fd7cb1e3579fcce222c67b91c5bb1aa5f4 | [
"Apache-2.0"
] | 7 | 2020-06-24T12:14:40.000Z | 2022-01-19T17:01:02.000Z | forest/visitor/context.py | Marghrid/Forest | 2f1730fd7cb1e3579fcce222c67b91c5bb1aa5f4 | [
"Apache-2.0"
] | null | null | null | forest/visitor/context.py | Marghrid/Forest | 2f1730fd7cb1e3579fcce222c67b91c5bb1aa5f4 | [
"Apache-2.0"
] | null | null | null | from typing import List, Optional
from ..dsl import Node
class Context:
_observed: List[Node]
_evaluated: List[Node]
_stack: List[Node]
def __init__(self):
self._observed = list()
self._evaluated = list()
self._stack = list()
def observe(self, node: Node) -> None:
... | 20.930233 | 42 | 0.594444 |
9e4702bfc0cca7a58e2df416616fbc1d2e1a010b | 1,599 | py | Python | tests/common/test_run/ascend/softsign_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/common/test_run/ascend/softsign_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/common/test_run/ascend/softsign_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2020-2021 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 agre... | 38.071429 | 74 | 0.73671 |
9e4705f1c6d7d82e092e49b6008e1a11ff67eb19 | 2,308 | py | Python | cogs/Testing.py | KhangOP/PaladinsAssistantBot | 9b705dc688610ba52909f0b0e152d8684006c6a6 | [
"MIT"
] | null | null | null | cogs/Testing.py | KhangOP/PaladinsAssistantBot | 9b705dc688610ba52909f0b0e152d8684006c6a6 | [
"MIT"
] | null | null | null | cogs/Testing.py | KhangOP/PaladinsAssistantBot | 9b705dc688610ba52909f0b0e152d8684006c6a6 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
# For testing commands
class Testing(commands.Cog, name="Testing Commands"):
"""Testing Commands"""
def __init__(self, bot):
self.bot = bot
@commands.is_owner()
@commands.command()
async def testing(self, ctx):
"""
info = ""... | 33.449275 | 115 | 0.561525 |
9e470a899b97498720db0436f928e43af9c1dbc8 | 6,921 | py | Python | toontown/suit/SuitDNA.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 1 | 2018-06-16T23:06:38.000Z | 2018-06-16T23:06:38.000Z | toontown/suit/SuitDNA.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/suit/SuitDNA.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | import random
from pandac.PandaModules import *
from direct.directnotify.DirectNotifyGlobal import *
from toontown.toonbase import TTLocalizer
import random
from direct.distributed.PyDatagram import PyDatagram
from direct.distributed.PyDatagramIterator import PyDatagramIterator
from otp.avatar import AvatarDNA
notify =... | 29.961039 | 123 | 0.569282 |
9e471a6c4e9b89d0ce24bd84efcc94f1d2ff2026 | 5,224 | py | Python | meter/perfMeter.py | DemisseG/Approximately_Covariant_CNN- | 19c4b2363083ba25a2af17a2672da330ae9ed7fc | [
"MIT"
] | null | null | null | meter/perfMeter.py | DemisseG/Approximately_Covariant_CNN- | 19c4b2363083ba25a2af17a2672da330ae9ed7fc | [
"MIT"
] | null | null | null | meter/perfMeter.py | DemisseG/Approximately_Covariant_CNN- | 19c4b2363083ba25a2af17a2672da330ae9ed7fc | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division
import sys, os
from typing import Dict
import torch
import numpy
import matplotlib
from matplotlib.ticker import ScalarFormatter, AutoMinorLocator
import matplotlib.pyplot as plt
font = {'family': 'monospace',
'size' : 10,
'weight': 'bold'}
plt.rc... | 38.131387 | 114 | 0.57657 |
9e4736e19ecbe49e26089575e2347b58929fbb7c | 4,292 | py | Python | test/integration/ggrc_basic_permissions/test_issue_mapping.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | test/integration/ggrc_basic_permissions/test_issue_mapping.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | test/integration/ggrc_basic_permissions/test_issue_mapping.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test Mapping Issue mapping"""
from ddt import data, ddt, unpack
from ggrc.app import app # NOQA pylint: disable=unused-import
from ggrc.models import all_models
from integration.ggrc import TestCase
fro... | 29.39726 | 78 | 0.638164 |
9e474a2c0cf2a7a80b89619e7cb500053e1fb383 | 19,247 | py | Python | modules/dbnd/src/dbnd/api/tracking_api.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | null | null | null | modules/dbnd/src/dbnd/api/tracking_api.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | null | null | null | modules/dbnd/src/dbnd/api/tracking_api.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | null | null | null | import typing
from datetime import datetime
from typing import List, Optional, Tuple
from uuid import UUID
import attr
from dbnd._core.constants import (
DbndDatasetOperationType,
DbndTargetOperationStatus,
DbndTargetOperationType,
RunState,
TaskRunState,
UpdateSource,
)
from dbnd._core.track... | 33.357019 | 87 | 0.721983 |
9e476a4f87b10aad2e181fce997b1adb991164e9 | 6,667 | py | Python | chainer/functions/pooling/max_pooling_2d.py | kafi2016/chainer-kafi | 6cc4228dc8c1ebd78d9f5347c1e848cc0b77c4d2 | [
"MIT"
] | null | null | null | chainer/functions/pooling/max_pooling_2d.py | kafi2016/chainer-kafi | 6cc4228dc8c1ebd78d9f5347c1e848cc0b77c4d2 | [
"MIT"
] | null | null | null | chainer/functions/pooling/max_pooling_2d.py | kafi2016/chainer-kafi | 6cc4228dc8c1ebd78d9f5347c1e848cc0b77c4d2 | [
"MIT"
] | null | null | null | import numpy
from chainer import cuda
from chainer.functions.pooling import pooling_2d
from chainer.utils import conv
if cuda.cudnn_enabled:
cudnn = cuda.cudnn
libcudnn = cudnn.cudnn
class MaxPooling2D(pooling_2d.Pooling2D):
"""Max pooling over a set of 2d planes."""
def forward_cpu(self, x):
... | 39.449704 | 78 | 0.505025 |
9e47725d5966f0a337a64310e502d6e96709b9f5 | 3,419 | py | Python | chapps/logging.py | easydns/chapps | 3bb54e795de1f91c6cf749f9aeb16b1211584809 | [
"MIT"
] | 1 | 2022-03-23T13:36:43.000Z | 2022-03-23T13:36:43.000Z | chapps/logging.py | easydns/chapps | 3bb54e795de1f91c6cf749f9aeb16b1211584809 | [
"MIT"
] | 2 | 2022-02-25T18:12:15.000Z | 2022-03-07T22:32:13.000Z | chapps/logging.py | easydns/chapps | 3bb54e795de1f91c6cf749f9aeb16b1211584809 | [
"MIT"
] | null | null | null | """
Logging
-------
This module's purpose is to ensure that CHAPPS modules
end up instantiating loggers which all share a common
formatter and handler.
It has been reworked a little bit since its inception,
and it may approach the issue from two directions, still.
It does attempt to be the first thing to get a handle... | 34.887755 | 79 | 0.725066 |
9e4772ff13eae78a50d64361d78679666eb3b67a | 5,063 | py | Python | data/lexical_analysis/reader.py | qhjqhj00/Search_QA | 155a763c5ef4324d3edaaa8753473a8bd353968e | [
"Apache-2.0"
] | 13 | 2020-05-09T07:19:15.000Z | 2021-11-22T08:30:23.000Z | data/lexical_analysis/reader.py | qhjqhj00/Search_QA | 155a763c5ef4324d3edaaa8753473a8bd353968e | [
"Apache-2.0"
] | null | null | null | data/lexical_analysis/reader.py | qhjqhj00/Search_QA | 155a763c5ef4324d3edaaa8753473a8bd353968e | [
"Apache-2.0"
] | 5 | 2020-07-13T12:19:22.000Z | 2021-01-27T08:32:29.000Z | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 32.455128 | 75 | 0.578116 |
9e4781e485734c3b8c04a5c0ce4ea443a96ea998 | 5,661 | py | Python | graphite_plugin_agent/plugins/apache_httpd.py | jondkelley/graphite-plugin-agent | 924193262cbd7f6eaa498c33951883473e435c90 | [
"BSD-3-Clause"
] | 1 | 2018-06-20T04:41:15.000Z | 2018-06-20T04:41:15.000Z | graphite_plugin_agent/plugins/apache_httpd.py | jondkelley/graphite-plugin-agent | 924193262cbd7f6eaa498c33951883473e435c90 | [
"BSD-3-Clause"
] | null | null | null | graphite_plugin_agent/plugins/apache_httpd.py | jondkelley/graphite-plugin-agent | 924193262cbd7f6eaa498c33951883473e435c90 | [
"BSD-3-Clause"
] | null | null | null | """
ApacheHTTPD Support
"""
import logging
import re
from graphite_plugin_agent.plugins import base
LOGGER = logging.getLogger(__name__)
PATTERN = re.compile(r'^([\w\s{1}]+):\s([\d\.{1}]+)', re.M)
class ApacheHTTPD(base.HTTPStatsPlugin):
DEFAULT_QUERY = 'auto'
GUID = 'com.meetme.newrelic_apache_httpd_age... | 45.653226 | 111 | 0.462639 |
9e47b14863b1bb899151eaeebf74a8066347946f | 28,657 | py | Python | nni/compression/pytorch/utils/shape_dependency.py | Microsoft/nni | b99e26833287c901f6d808d07ea6882014b05f58 | [
"MIT"
] | 2,305 | 2018-09-07T12:42:26.000Z | 2019-05-06T20:14:24.000Z | nni/compression/pytorch/utils/shape_dependency.py | Eurus-Holmes/nni | 45af1d6b79b355d3e013f1eae2f4c193bbd84074 | [
"MIT"
] | 379 | 2018-09-10T10:19:50.000Z | 2019-05-06T18:04:46.000Z | nni/compression/pytorch/utils/shape_dependency.py | Eurus-Holmes/nni | 45af1d6b79b355d3e013f1eae2f4c193bbd84074 | [
"MIT"
] | 314 | 2018-09-08T05:36:08.000Z | 2019-05-06T08:48:51.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import csv
import logging
import torch
import numpy as np
from nni.compression.pytorch.compressor import PrunerModuleWrapper
from nni.algorithms.compression.v2.pytorch.base import PrunerModuleWrapper as PrunerModuleWrapper_v2
from .utils import g... | 38.673414 | 122 | 0.602157 |
9e47f24207082fd341fdbed1890273acba0afc4e | 1,203 | py | Python | tic-tac-to_sim.py | olifantix/python_tools | 5432e2af4df20e8f1352ccaa664e94707c559841 | [
"MIT"
] | null | null | null | tic-tac-to_sim.py | olifantix/python_tools | 5432e2af4df20e8f1352ccaa664e94707c559841 | [
"MIT"
] | null | null | null | tic-tac-to_sim.py | olifantix/python_tools | 5432e2af4df20e8f1352ccaa664e94707c559841 | [
"MIT"
] | null | null | null | def check_win(d):
"""Input is a dictionary with keys 1-9 according to a numerical
keypad: 789
456
123
function checks win condition for tic tac toe and returns the dicts value"""
w = ( (7, 8, 9), (4, 5, 6), (1, 2, 3,),
(1, 4, 7), (2, 5, 8), (3, 6, 7),
... | 28.642857 | 80 | 0.527016 |
9e47ffecaede8667f4f943457b62b479822cc329 | 10,647 | py | Python | cbrain/legacy/run_experiment.py | GunnarBehrens/CBRAIN-CAM | 1b59b5b4731ada7c077c181b543339412d25e5c3 | [
"MIT"
] | 66 | 2018-05-25T18:36:27.000Z | 2022-03-20T15:39:54.000Z | cbrain/legacy/run_experiment.py | GunnarBehrens/CBRAIN-CAM | 1b59b5b4731ada7c077c181b543339412d25e5c3 | [
"MIT"
] | 17 | 2019-01-08T12:41:47.000Z | 2021-09-05T01:22:04.000Z | cbrain/legacy/run_experiment.py | GunnarBehrens/CBRAIN-CAM | 1b59b5b4731ada7c077c181b543339412d25e5c3 | [
"MIT"
] | 48 | 2018-04-04T22:42:12.000Z | 2021-03-06T06:21:39.000Z | """Script to run an experiment.
Author: Stephan Rasp
"""
from cbrain.imports import *
from cbrain.data_generator import DataGenerator
from cbrain.models import *
# Loss dictionary. TODO: Solve this more cleverly (not Tom...)
loss_dict = {
'mae': 'mae',
'mse': 'mse',
'log_loss': log_loss,
}
def main(inar... | 34.568182 | 88 | 0.517235 |
9e4837e189bd7f9caa8449cd5ce1f831dfa544ae | 237 | py | Python | lathermail/default_settings.py | reclosedev/lathermail | b017c7152761a824fedeef3e56840b2125478913 | [
"MIT"
] | 13 | 2015-11-02T11:27:11.000Z | 2022-02-04T02:49:34.000Z | lathermail/default_settings.py | reclosedev/lathermail | b017c7152761a824fedeef3e56840b2125478913 | [
"MIT"
] | 9 | 2015-10-30T16:27:41.000Z | 2018-02-25T05:42:21.000Z | lathermail/default_settings.py | reclosedev/lathermail | b017c7152761a824fedeef3e56840b2125478913 | [
"MIT"
] | 4 | 2015-10-30T14:19:08.000Z | 2021-06-03T15:07:49.000Z | import os
DB_URI = "sqlite:///" + os.path.expanduser("~/.lathermail.db")
DEBUG_MODE = False
SMTP_HOST = "127.0.0.1"
SMTP_PORT = 2525
API_HOST = "127.0.0.1"
API_PORT = 5000
SQLITE_FAST_SAVE = True
SQLALCHEMY_TRACK_MODIFICATIONS = False
| 19.75 | 62 | 0.725738 |
9e483b171acdac869edf8d96afb10195bbbd7ba4 | 2,210 | py | Python | bso/server/main/apc/apc_detect.py | LaetitiaBracco/bso-publications | 6c5883ff98aa1d4d747ec563c795ebe8f67a6a1b | [
"MIT"
] | null | null | null | bso/server/main/apc/apc_detect.py | LaetitiaBracco/bso-publications | 6c5883ff98aa1d4d747ec563c795ebe8f67a6a1b | [
"MIT"
] | 12 | 2021-05-25T07:00:53.000Z | 2021-12-22T13:54:17.000Z | bso/server/main/apc/apc_detect.py | LaetitiaBracco/bso-publications | 6c5883ff98aa1d4d747ec563c795ebe8f67a6a1b | [
"MIT"
] | 1 | 2021-12-02T17:00:17.000Z | 2021-12-02T17:00:17.000Z | from bso.server.main.apc.doaj_detect import detect_doaj
from bso.server.main.apc.openapc_detect import detect_openapc
# estimation des apc par publication
def detect_apc(doi: str, journal_issns: str, publisher: str, published_date: str, dois_info: dict) -> dict:
issns = []
if journal_issns and isinstance(jour... | 40.925926 | 125 | 0.664706 |
9e486cb56dd9cbe2a19e389bf19ede9613f7670b | 1,519 | py | Python | venv/Lib/site-packages/pyrogram/types/bots_and_keyboards/__init__.py | D1ne2021/jjhhhjj | a090da30983b3ef276dfe4cef2ded4526f36002a | [
"MIT"
] | 2 | 2021-12-13T07:09:55.000Z | 2022-01-12T12:15:20.000Z | venv/Lib/site-packages/pyrogram/types/bots_and_keyboards/__init__.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/types/bots_and_keyboards/__init__.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free... | 36.166667 | 75 | 0.77551 |
9e4873251910a6caeec7c37a6767f49062f0b9cf | 92 | py | Python | Code/tools/admin.py | praktianerJones/LSD | 8ca07bfcf53347dc466be0cae260387c90f0c2ed | [
"BSD-3-Clause"
] | 2 | 2021-12-15T21:58:43.000Z | 2021-12-15T22:17:26.000Z | Code/tools/admin.py | praktianerJones/LSD | 8ca07bfcf53347dc466be0cae260387c90f0c2ed | [
"BSD-3-Clause"
] | null | null | null | Code/tools/admin.py | praktianerJones/LSD | 8ca07bfcf53347dc466be0cae260387c90f0c2ed | [
"BSD-3-Clause"
] | 1 | 2021-12-19T17:02:02.000Z | 2021-12-19T17:02:02.000Z |
from django.contrib import admin
from tools.models import Tool
admin.site.register(Tool)
| 13.142857 | 32 | 0.804348 |
9e487598c8460935f9d1eafe4f3bb56a8416c174 | 2,984 | py | Python | katdal/chunkstore_dict.py | kernsuite-debian/katdal | 62c5732f0bf1a2b6fa8d275e7405bcb1648534b0 | [
"BSD-3-Clause"
] | null | null | null | katdal/chunkstore_dict.py | kernsuite-debian/katdal | 62c5732f0bf1a2b6fa8d275e7405bcb1648534b0 | [
"BSD-3-Clause"
] | null | null | null | katdal/chunkstore_dict.py | kernsuite-debian/katdal | 62c5732f0bf1a2b6fa8d275e7405bcb1648534b0 | [
"BSD-3-Clause"
] | null | null | null | ################################################################################
# Copyright (c) 2017-2019, National Research Foundation (Square Kilometre Array)
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use
# this file except in compliance with the License. You may obtain a copy
# of the... | 46.625 | 80 | 0.650804 |
9e48a60d174215082ec2735faab7d2e16b623bb2 | 10,011 | py | Python | src/onevision/cv/core/add.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | 2 | 2022-03-28T09:46:38.000Z | 2022-03-28T14:12:32.000Z | src/onevision/cv/core/add.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | src/onevision/cv/core/add.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
"""
from __future__ import annotations
import cv2
import numpy as np
import torch
import torch.nn as nn
import torchvision
from multipledispatch import dispatch
from torch import Tensor
from onevision.cv.core.channels import is_channel_first
from onevision.cv.core.c... | 31.284375 | 85 | 0.58186 |
9e48c47ae28637acabdac82999765a3ce6608b22 | 3,524 | py | Python | pytests/test_inputs.py | bytewax/bytewax | c935aac8d6eabb0af5a331f59fc4a1300fa6d1e3 | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2022-02-05T02:38:35.000Z | 2022-03-31T16:42:52.000Z | pytests/test_inputs.py | bytewax/bytewax | c935aac8d6eabb0af5a331f59fc4a1300fa6d1e3 | [
"ECL-2.0",
"Apache-2.0"
] | 9 | 2022-02-08T22:13:56.000Z | 2022-03-31T18:16:12.000Z | pytests/test_inputs.py | bytewax/bytewax | c935aac8d6eabb0af5a331f59fc4a1300fa6d1e3 | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2022-02-14T23:45:03.000Z | 2022-03-22T06:58:47.000Z | import datetime
from unittest.mock import ANY
from bytewax import AdvanceTo
from bytewax.inputs import (
distribute,
fully_ordered,
single_batch,
sorted_window,
tumbling_epoch,
yield_epochs,
)
def test_distribute():
inp = ["a", "b", "c"]
out1 = distribute(inp, 0, 2)
assert list(... | 27.968254 | 82 | 0.516175 |
9e48d6e75f751671af6478d040691e1f6ec8d133 | 2,202 | py | Python | lore/callbacks.py | startrekor/lore | 72c8a28f19565373f1addd8ff65794211ed65edf | [
"MIT"
] | null | null | null | lore/callbacks.py | startrekor/lore | 72c8a28f19565373f1addd8ff65794211ed65edf | [
"MIT"
] | null | null | null | lore/callbacks.py | startrekor/lore | 72c8a28f19565373f1addd8ff65794211ed65edf | [
"MIT"
] | 1 | 2018-03-13T05:57:49.000Z | 2018-03-13T05:57:49.000Z | import logging
from datetime import datetime
import keras.callbacks
from lore.util import timer
logger = logging.getLogger(__name__)
class ReloadBest(keras.callbacks.ModelCheckpoint):
def __init__(
self,
filepath,
monitor='val_loss',
mode='auto',
):
super(ReloadBest... | 32.865672 | 80 | 0.537239 |
9e48dadf14da9ffd2b0706a1a70757b122715e25 | 1,664 | py | Python | report/example.py | 2010019970909/design_of_experiments | 72030c2916f938637c86302b311eab25dd52cbe3 | [
"MIT"
] | null | null | null | report/example.py | 2010019970909/design_of_experiments | 72030c2916f938637c86302b311eab25dd52cbe3 | [
"MIT"
] | null | null | null | report/example.py | 2010019970909/design_of_experiments | 72030c2916f938637c86302b311eab25dd52cbe3 | [
"MIT"
] | null | null | null | """
This is an example that shows how I program.
The aim of this program is to wrap the print function in a class.
"""
class Print:
def __init__(self, functor=print):
""" Initialise the Print object
Args:
functor:
function used to write or to print a string, by default the print function is used.
Retu... | 20.54321 | 100 | 0.626202 |
9e48f4757fb6335c29d17b6e43369756974c3fc5 | 6,366 | py | Python | examples/example6-memory.py | konman2/PyRTL | dd7d219c59fb1ca0f79092eb9f69c84c45751e91 | [
"BSD-3-Clause"
] | null | null | null | examples/example6-memory.py | konman2/PyRTL | dd7d219c59fb1ca0f79092eb9f69c84c45751e91 | [
"BSD-3-Clause"
] | null | null | null | examples/example6-memory.py | konman2/PyRTL | dd7d219c59fb1ca0f79092eb9f69c84c45751e91 | [
"BSD-3-Clause"
] | null | null | null | """ Example 6: Memories in PyRTL
One important part of many circuits is the ability to have data in
locations that are persistent over clock cycles. In previous examples,
we have shown the register wirevector, which is great for storing
a small amount of data for a single clock cycle. However, PyRTL al... | 36.586207 | 82 | 0.716148 |
9e48f50d9100e93b9da440886b82e7e819fbe666 | 7,847 | py | Python | alipay/aop/api/domain/AlipayAccountCashpoolRulegroupCreateModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipayAccountCashpoolRulegroupCreateModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipayAccountCashpoolRulegroupCreateModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.InstAllocationQuotaVO import InstAllocationQuotaVO
class AlipayAccountCashpoolRulegroupCreateModel(object):
def __init__(self):
self._cash_pool_id = None
self... | 35.995413 | 109 | 0.626864 |
9e491ac31491040fbc01015d8b5c1a03d71d8961 | 377 | py | Python | src/edeposit/amqp/rest/structures/__init__.py | edeposit/edeposit.rest | ecb1c00f7c156e1ed2000a0b68a3e4da506e7992 | [
"MIT"
] | 1 | 2015-12-10T13:30:22.000Z | 2015-12-10T13:30:22.000Z | src/edeposit/amqp/rest/structures/__init__.py | edeposit/edeposit.rest | ecb1c00f7c156e1ed2000a0b68a3e4da506e7992 | [
"MIT"
] | 33 | 2015-10-06T16:02:13.000Z | 2015-12-10T15:00:04.000Z | src/edeposit/amqp/rest/structures/__init__.py | edeposit/edeposit.rest | ecb1c00f7c156e1ed2000a0b68a3e4da506e7992 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Interpreter version: python 2.7
#
# Imports =====================================================================
from incomming import CacheTick
from incomming import SaveLogin
from incomming import RemoveLogin
from incomming import StatusUpdate
from outgoing import ... | 26.928571 | 79 | 0.649867 |
9e49551f2d2a4916a9331df7bcdedc99cf8f2a27 | 1,866 | py | Python | b2sdk/v1/session.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | b2sdk/v1/session.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | b2sdk/v1/session.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | ######################################################################
#
# File: b2sdk/v1/session.py
#
# Copyright 2021 Backblaze Inc. All Rights Reserved.
#
# License https://www.backblaze.com/using_b2_code.html
#
######################################################################
from b2sdk import _v2 as v2
from ... | 37.32 | 107 | 0.631297 |
9e497efbeef3b8abaf74faea0967436c1b386050 | 120 | py | Python | oscar/lib/python2.7/site-packages/_pytest/_version.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/_pytest/_version.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/_pytest/_version.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# file generated by setuptools_scm
# don't change, don't track in version control
version = '3.2.1'
| 24 | 47 | 0.7 |
9e499b73208065442a596f91c968ac186e5cb43d | 4,215 | py | Python | native/examples/spend-p2wpkh.py | pcsubirachs/ptpybtc | eb1571547c449fb5d7454a684140f67b871b7c04 | [
"MIT"
] | null | null | null | native/examples/spend-p2wpkh.py | pcsubirachs/ptpybtc | eb1571547c449fb5d7454a684140f67b871b7c04 | [
"MIT"
] | null | null | null | native/examples/spend-p2wpkh.py | pcsubirachs/ptpybtc | eb1571547c449fb5d7454a684140f67b871b7c04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (C) 2020 The python-bitcoinlib developers
#
# This file is part of python-bitcoinlib.
#
# It is subject to the license terms in the LICENSE file found in the top-level
# directory of this distribution.
#
# No part of python-bitcoinlib, including this file, may be copied, modified,
# ... | 39.764151 | 142 | 0.776038 |
9e49a5e3ed4ccefd005cc37871249816ba7500bd | 9,104 | py | Python | src/rcmodel/tools.py | BFourcin/rcmodel | 160eb2ad7ea60f328abde157baeef7378e28d815 | [
"MIT"
] | 5 | 2021-07-05T13:48:59.000Z | 2021-12-08T11:40:51.000Z | src/rcmodel/tools.py | BFourcin/rcmodel | 160eb2ad7ea60f328abde157baeef7378e28d815 | [
"MIT"
] | null | null | null | src/rcmodel/tools.py | BFourcin/rcmodel | 160eb2ad7ea60f328abde157baeef7378e28d815 | [
"MIT"
] | null | null | null | from .building import Building
import torch
from torch.utils.data import Dataset
import pandas as pd
import matplotlib.pyplot as plt
class InputScaling(Building):
"""
Class to group methods for scaling input parameters.
Model scaling - scales physical parameters to between 0-1 using min max.
Physical ... | 33.226277 | 159 | 0.626867 |
9e49a8336bd9b62df4b598e4daec0d58e3572dcb | 559 | py | Python | apscheduler/executors/debug.py | cychenyin/windmill | cc90126f8ba57531b28b1bc722927e8b66dc31b1 | [
"MIT"
] | null | null | null | apscheduler/executors/debug.py | cychenyin/windmill | cc90126f8ba57531b28b1bc722927e8b66dc31b1 | [
"MIT"
] | null | null | null | apscheduler/executors/debug.py | cychenyin/windmill | cc90126f8ba57531b28b1bc722927e8b66dc31b1 | [
"MIT"
] | null | null | null | # coding: utf-8
import sys
from apscheduler.executors.base import BaseExecutor, run_job
class DebugExecutor(BaseExecutor):
"""
A special executor that executes the target callable directly instead of deferring it to a thread or process.
Plugin alias: ``debug``
"""
def _do_submit_job(self, job,... | 25.409091 | 113 | 0.658318 |
9e49ac7cec5bc4a6b15c804ba7e8b04d766e92b2 | 556 | py | Python | oscar/lib/python2.7/site-packages/phonenumbers/shortdata/region_MM.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/phonenumbers/shortdata/region_MM.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/phonenumbers/shortdata/region_MM.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | """Auto-generated file, do not edit by hand. MM metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_MM = PhoneMetadata(id='MM', country_code=None, international_prefix=None,
general_desc=PhoneNumberDesc(national_number_pattern='1\\d{2}', possible_length=(3,)),
... | 61.777778 | 107 | 0.771583 |
9e4a037958fcf9657970c2ae3c0596a4042628f6 | 3,219 | py | Python | aws_xray_sdk/core/models/dummy_entities.py | musicinmybrain/aws-xray-sdk-python | b8e59423f1891351ceb1a0bd585603e0cd46c74c | [
"Apache-2.0"
] | 294 | 2017-10-10T19:01:04.000Z | 2022-03-18T15:52:19.000Z | aws_xray_sdk/core/models/dummy_entities.py | musicinmybrain/aws-xray-sdk-python | b8e59423f1891351ceb1a0bd585603e0cd46c74c | [
"Apache-2.0"
] | 285 | 2017-10-20T09:27:21.000Z | 2022-03-29T15:33:45.000Z | aws_xray_sdk/core/models/dummy_entities.py | musicinmybrain/aws-xray-sdk-python | b8e59423f1891351ceb1a0bd585603e0cd46c74c | [
"Apache-2.0"
] | 134 | 2017-10-11T13:55:17.000Z | 2022-03-23T07:21:17.000Z | import os
from .noop_traceid import NoOpTraceId
from .traceid import TraceId
from .segment import Segment
from .subsegment import Subsegment
class DummySegment(Segment):
"""
A dummy segment is created when ``xray_recorder`` decide to not sample
the segment based on sampling rules.
Adding data to a dum... | 22.2 | 117 | 0.543336 |
9e4a18f4448a092fc9d199387eed38a52f9d76fb | 437 | py | Python | get-btc.py | griswaldbrooks/gdax-tools | d24743b0edc3f47ae79dc2b92cdbffc85b7e38c4 | [
"MIT"
] | null | null | null | get-btc.py | griswaldbrooks/gdax-tools | d24743b0edc3f47ae79dc2b92cdbffc85b7e38c4 | [
"MIT"
] | null | null | null | get-btc.py | griswaldbrooks/gdax-tools | d24743b0edc3f47ae79dc2b92cdbffc85b7e38c4 | [
"MIT"
] | null | null | null | import gdax
import os
API_KEY = os.environ['GDAX_API_KEY']
API_SECRET = os.environ['GDAX_API_SECRET']
API_PASS = os.environ['GDAX_API_PASS']
def main():
'''
Gets the current bitcoin price in usd and prints to the screen.
'''
client = gdax.AuthenticatedClient(API_KEY, API_SECRET, API_PASS)
ticker ... | 21.85 | 68 | 0.700229 |
9e4a7c334c6726ed4beae22a1cf63a1ed0346d15 | 2,994 | py | Python | backend/tests/baserow/core/test_core_models.py | ericderace/baserow | 7b35e81f75166d914d07ef4ad0c30c625b6bb396 | [
"MIT"
] | null | null | null | backend/tests/baserow/core/test_core_models.py | ericderace/baserow | 7b35e81f75166d914d07ef4ad0c30c625b6bb396 | [
"MIT"
] | 6 | 2021-04-08T22:03:06.000Z | 2022-01-13T03:38:17.000Z | backend/tests/baserow/core/test_core_models.py | ericderace/baserow | 7b35e81f75166d914d07ef4ad0c30c625b6bb396 | [
"MIT"
] | null | null | null | import pytest
from pytz import timezone
from freezegun import freeze_time
from datetime import datetime
from baserow.core.models import GroupUser, Group
from baserow.core.exceptions import (
UserNotInGroupError, UserInvalidGroupPermissionsError
)
from baserow.contrib.database.models import Database
@pytest.mark.... | 34.813953 | 83 | 0.737809 |
9e4a7f612e2319c5b10a8c73d221d8181a85b136 | 7,626 | py | Python | scripts/06-analyzesynergy.py | OlafHaag/NeuroPsyResearchAnalysis | 83d750310ee2467979d503d2fb4b6011ead9e9fc | [
"MIT"
] | null | null | null | scripts/06-analyzesynergy.py | OlafHaag/NeuroPsyResearchAnalysis | 83d750310ee2467979d503d2fb4b6011ead9e9fc | [
"MIT"
] | null | null | null | scripts/06-analyzesynergy.py | OlafHaag/NeuroPsyResearchAnalysis | 83d750310ee2467979d503d2fb4b6011ead9e9fc | [
"MIT"
] | null | null | null | # notebook source: 0-oh-analyze_synergy.ipynb
# %% [markdown]
# # Analysis of Synergy Indices
# ## A frequentist approach.
#
# %%
# Basic imports and setup.
import sys
import logging
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pingouin as pg
import plotly.... | 36.663462 | 122 | 0.607265 |
9e4a91fab46f4d19c926d67e42decd1d00dee28f | 388 | py | Python | examples/protocols/hello_logo/app/components.py | pauleveritt/viewdom_wired | 40d8f2f190a12bbd07ff957654626001a9f3a778 | [
"MIT"
] | null | null | null | examples/protocols/hello_logo/app/components.py | pauleveritt/viewdom_wired | 40d8f2f190a12bbd07ff957654626001a9f3a778 | [
"MIT"
] | null | null | null | examples/protocols/hello_logo/app/components.py | pauleveritt/viewdom_wired | 40d8f2f190a12bbd07ff957654626001a9f3a778 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from viewdom import html
from viewdom_wired import component
@component()
@dataclass
class Logo:
src: str
alt: str = 'Logo'
def __call__(self):
return html('<img src={self.src} />')
@component()
@dataclass
class Navbar:
logo_src: str
def __call__(self... | 16.166667 | 64 | 0.654639 |
9e4b3cf6029f81e34c2c9617b21e07078da0f214 | 17,504 | py | Python | trac/util/tests/__init__.py | mikiec84/trac | d51a7119b9fcb9061d7fe135c7d648fa671555dd | [
"BSD-3-Clause"
] | null | null | null | trac/util/tests/__init__.py | mikiec84/trac | d51a7119b9fcb9061d7fe135c7d648fa671555dd | [
"BSD-3-Clause"
] | null | null | null | trac/util/tests/__init__.py | mikiec84/trac | d51a7119b9fcb9061d7fe135c7d648fa671555dd | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2006-2020 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at https://trac.edgewall.org/wiki/TracLicense.
#
# This software cons... | 38.47033 | 79 | 0.610832 |
9e4b5f8469d958361afd007d0f2324d799567856 | 619 | py | Python | RaspberryPi/read_do.fast2.py | linsalrob/AtlasSensors | 381b4c9aae91e0097b64d265eb3bdf6db6a6b189 | [
"MIT"
] | null | null | null | RaspberryPi/read_do.fast2.py | linsalrob/AtlasSensors | 381b4c9aae91e0097b64d265eb3bdf6db6a6b189 | [
"MIT"
] | null | null | null | RaspberryPi/read_do.fast2.py | linsalrob/AtlasSensors | 381b4c9aae91e0097b64d265eb3bdf6db6a6b189 | [
"MIT"
] | null | null | null |
import serial
import sys
import RPi.GPIO as GPIO
import time
import atlas
import os
GPIO.setmode(GPIO.BCM)
conn = atlas.atlas()
ser = conn.connect()
ser.write("L1\r") # turn on LED
i=0
while os.path.exists("read%i.tsv" %i):
i+=1
while True:
line = conn.read()
ser.write("R\r") # take one reading
... | 18.205882 | 98 | 0.578352 |
9e4b7dc6fff9d18db4920b3648be3322f8b05e02 | 862 | py | Python | datawinners/main/management/commands/syncviews.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/main/management/commands/syncviews.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/main/management/commands/syncviews.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | import logging
from django.core.management.base import BaseCommand
import sys
from datawinners.main.database import get_db_manager
from datawinners.main.management.sync_changed_views import SyncOnlyChangedViews
from datawinners.main.management.commands.utils import document_stores_to_process
import traceback
logger =... | 35.916667 | 81 | 0.704176 |
9e4b91a632d3a1aa1f09c51852e3dccfa0bde4f9 | 5,419 | py | Python | docs/samples/specification/multiapi/generated/azure/multiapi/sample/v3/operations/_operation_group_one_operations.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | docs/samples/specification/multiapi/generated/azure/multiapi/sample/v3/operations/_operation_group_one_operations.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | docs/samples/specification/multiapi/generated/azure/multiapi/sample/v3/operations/_operation_group_one_operations.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 1 | 2022-03-28T08:58:03.000Z | 2022-03-28T08:58:03.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 38.985612 | 133 | 0.682045 |
9e4bc08556925b6c75d2a2e1999b95a3721328c2 | 1,193 | py | Python | tests/test_fixture.py | valq7711/orgapyzer | 8f6d8c91e33bea41fc40ce2c1dced864e309506b | [
"MIT"
] | null | null | null | tests/test_fixture.py | valq7711/orgapyzer | 8f6d8c91e33bea41fc40ce2c1dced864e309506b | [
"MIT"
] | null | null | null | tests/test_fixture.py | valq7711/orgapyzer | 8f6d8c91e33bea41fc40ce2c1dced864e309506b | [
"MIT"
] | null | null | null | import pytest
import types
from omfitt import BaseFixture
class Foo(BaseFixture):
def __init__(self):
pass
def take_on(self, ctx):
self._safe_local = types.SimpleNamespace(a='a')
class Bar(BaseFixture):
def __init__(self, foo):
self.foo = foo
class Baz(BaseFixture):
def __... | 20.929825 | 59 | 0.654652 |
9e4c386341449e8a2b42726fc1db8a947166f026 | 3,000 | py | Python | 2019/common/arcade.py | cj-wong/advent | f6a489773f488f5daf49caa9d652b1886608b928 | [
"MIT"
] | null | null | null | 2019/common/arcade.py | cj-wong/advent | f6a489773f488f5daf49caa9d652b1886608b928 | [
"MIT"
] | null | null | null | 2019/common/arcade.py | cj-wong/advent | f6a489773f488f5daf49caa9d652b1886608b928 | [
"MIT"
] | null | null | null | from collections import defaultdict
from typing import Dict, List
import intcode
import robotics
class Game(robotics.Painter):
"""Representation of a simple arcade game. Due to its similarities
with the `robotics.Painter` class, we inherit from that instead of
the base `intcode.Interpreter`.
Attribu... | 32.608696 | 71 | 0.557667 |
9e4c4444952c5aa83cfcff11f41c6611db82a482 | 2,435 | py | Python | saf/ffm/nonlinear/solution.py | dmitry-kabanov/fickettmodel | 255b1e9cae1cfb7a6b914ad61a17288d52215cc4 | [
"MIT"
] | null | null | null | saf/ffm/nonlinear/solution.py | dmitry-kabanov/fickettmodel | 255b1e9cae1cfb7a6b914ad61a17288d52215cc4 | [
"MIT"
] | null | null | null | saf/ffm/nonlinear/solution.py | dmitry-kabanov/fickettmodel | 255b1e9cae1cfb7a6b914ad61a17288d52215cc4 | [
"MIT"
] | null | null | null | import numpy as np
class Solution(object):
"""
Convenient wrapper around unknowns.
Using this wrapper you can either address all unknowns at once using data
field `data` or you can work with three different types of variables
(velocity `u`, progress variable `lamda`, and detonation velocity `psi`)... | 29.695122 | 78 | 0.586037 |
9e4c569eeb11e664a9c5bec1e55289d6255280c4 | 1,318 | py | Python | python/sparkts/onsMethods/Melt.py | SteveBall/SML | ceab962a3e14c57fa08de6141ef3f4df7cc7ad79 | [
"Apache-2.0"
] | 3 | 2018-07-20T16:43:43.000Z | 2019-08-16T02:01:49.000Z | python/sparkts/onsMethods/Melt.py | SteveBall/SML | ceab962a3e14c57fa08de6141ef3f4df7cc7ad79 | [
"Apache-2.0"
] | 1 | 2018-01-23T10:44:17.000Z | 2018-01-23T10:44:17.000Z | python/sparkts/onsMethods/Melt.py | SteveBall/SML | ceab962a3e14c57fa08de6141ef3f4df7cc7ad79 | [
"Apache-2.0"
] | 2 | 2018-03-08T12:00:42.000Z | 2018-03-14T14:29:05.000Z | from pyspark.sql import DataFrame
class Melt:
"""
This class contains methods which perform a melt (the reverse of a pivot) on a DataFrame.
"""
def __init__(self, df = None):
"""
Initialise function to instantiate the Melt class.
:param df: a DataFrame
"""
if ... | 31.380952 | 106 | 0.619879 |
9e4c5de67440029e7e1534329719ef4cc15e1953 | 2,590 | py | Python | kmclient/common/parser_builder.py | huaweicloudsdk/osc_kms | 706db158df29c06c22c1158c379bb5ecb5f69f5d | [
"Apache-2.0"
] | 3 | 2017-10-18T06:58:50.000Z | 2021-06-09T11:08:12.000Z | kmclient/common/parser_builder.py | huaweicloudsdk/osc_kms | 706db158df29c06c22c1158c379bb5ecb5f69f5d | [
"Apache-2.0"
] | 11 | 2017-02-25T07:49:03.000Z | 2017-07-14T09:04:50.000Z | kmclient/common/parser_builder.py | Huawei/OpenStackClient_KMS | 706db158df29c06c22c1158c379bb5ecb5f69f5d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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... | 35.972222 | 77 | 0.599228 |
9e4c65f71ba87e34343da1bff3e3ade36573bdb7 | 4,537 | py | Python | demo2/grpc-services/grpc_interceptors/__init__.py | dinara92/python-grpc-demo | 9a8776c39a938591cd0ee56173450b65c19bebba | [
"MIT"
] | 1 | 2021-09-24T11:58:52.000Z | 2021-09-24T11:58:52.000Z | demo2/grpc-services/grpc_interceptors/__init__.py | belajarqywok/python-grpc-demo | 1e64fa6438c7f997edf9f82de8e855772d86fba8 | [
"MIT"
] | null | null | null | demo2/grpc-services/grpc_interceptors/__init__.py | belajarqywok/python-grpc-demo | 1e64fa6438c7f997edf9f82de8e855772d86fba8 | [
"MIT"
] | null | null | null | import six
import abc
############## Service-Side Interceptor Interfaces & Classes #################
class UnaryUnaryServerInterceptor(six.with_metaclass(abc.ABCMeta)):
"""Affords intercepting unary-unary RPCs on the service-side.
This is an EXPERIMENTAL API and is subject to change without notice."""
@a... | 34.371212 | 80 | 0.691646 |
9e4c6f5d969935394bbd598f81b43e83e3922b3f | 1,438 | py | Python | homeassistant/components/nextcloud/binary_sensor.py | marioedani/homeassistant-core | 2bc5db857ec6aa605ea7ff363654db2109f7cec4 | [
"Apache-2.0"
] | 7 | 2019-02-07T14:14:12.000Z | 2019-07-28T06:56:10.000Z | homeassistant/components/nextcloud/binary_sensor.py | tomachristian/core | 71c8fcee20c55536b33c3ee774c76c1795f37cd2 | [
"Apache-2.0"
] | 6 | 2021-02-08T20:54:31.000Z | 2022-03-12T00:50:43.000Z | homeassistant/components/nextcloud/binary_sensor.py | tomachristian/core | 71c8fcee20c55536b33c3ee774c76c1795f37cd2 | [
"Apache-2.0"
] | 2 | 2020-04-19T13:35:24.000Z | 2020-04-19T13:35:51.000Z | """Summary binary data from Nextcoud."""
import logging
from homeassistant.components.binary_sensor import BinarySensorDevice
from . import BINARY_SENSORS, DOMAIN
_LOGGER = logging.getLogger(__name__)
def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Nextcloud sensors."""
i... | 27.132075 | 69 | 0.653686 |
9e4c7a82697d28bdab6b88c00b62cfa904ac96e3 | 1,312 | py | Python | linked-list/reverseLinkedList.py | gusgonz/dsa-prep | c1e20c6eb31c3b7a70572a583de8bd04f635c772 | [
"MIT"
] | null | null | null | linked-list/reverseLinkedList.py | gusgonz/dsa-prep | c1e20c6eb31c3b7a70572a583de8bd04f635c772 | [
"MIT"
] | null | null | null | linked-list/reverseLinkedList.py | gusgonz/dsa-prep | c1e20c6eb31c3b7a70572a583de8bd04f635c772 | [
"MIT"
] | null | null | null | class Node(object):
def __init__(self, value, next=None):
self.value = value
self.next = next
def __str__(self):
stringOutput = ''
curr = self
while curr:
stringOutput += str(curr.value)
curr = curr.next
return stringOutput
# Reverse a si... | 19.014493 | 113 | 0.577744 |
9e4c99cbab2bbf25f7c4f85520f831d8bb7b633a | 1,175 | py | Python | arjuna-samples/arjex/test/pkg/config/check_config_02_proj_conf.py | ChandraMouliDisturbs/arjuna | 4965622fbb01a5e5b6459110c413accc5c483424 | [
"Apache-2.0"
] | null | null | null | arjuna-samples/arjex/test/pkg/config/check_config_02_proj_conf.py | ChandraMouliDisturbs/arjuna | 4965622fbb01a5e5b6459110c413accc5c483424 | [
"Apache-2.0"
] | null | null | null | arjuna-samples/arjex/test/pkg/config/check_config_02_proj_conf.py | ChandraMouliDisturbs/arjuna | 4965622fbb01a5e5b6459110c413accc5c483424 | [
"Apache-2.0"
] | null | null | null | # This file is a part of Arjuna
# Copyright 2015-2020 Rahul Verma
# Website: www.RahulVerma.net
# 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... | 34.558824 | 96 | 0.731915 |
9e4c9a1d1e2f48f552cf73f0656e9eb715ab462e | 9,941 | py | Python | readthedocs/organizations/views/private.py | mehrdad-khojastefar/readthedocs.org | b958bb8d04c454324d612345890b13af54a19eb6 | [
"MIT"
] | 2,092 | 2019-06-29T07:47:30.000Z | 2022-03-31T14:54:59.000Z | readthedocs/organizations/views/private.py | mehrdad-khojastefar/readthedocs.org | b958bb8d04c454324d612345890b13af54a19eb6 | [
"MIT"
] | 2,389 | 2019-06-29T04:22:55.000Z | 2022-03-31T22:57:49.000Z | readthedocs/organizations/views/private.py | mehrdad-khojastefar/readthedocs.org | b958bb8d04c454324d612345890b13af54a19eb6 | [
"MIT"
] | 1,185 | 2019-06-29T21:49:31.000Z | 2022-03-30T09:57:15.000Z | """Views that require login."""
# pylint: disable=too-many-ancestors
from django.conf import settings
from django.contrib import messages
from django.urls import reverse_lazy
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from vanilla import CreateView, DeleteView, ListView, ... | 34.637631 | 100 | 0.681722 |
9e4ccf2de73cbeef53c6d49d2af545060934c2dd | 1,968 | py | Python | docs/source/conf.py | EMBL-Hentze-group/htseq-clip | 3d3781918f8d23430b35c9be7faf4aa5f7541934 | [
"MIT"
] | null | null | null | docs/source/conf.py | EMBL-Hentze-group/htseq-clip | 3d3781918f8d23430b35c9be7faf4aa5f7541934 | [
"MIT"
] | 6 | 2020-04-16T11:58:14.000Z | 2022-03-30T11:46:23.000Z | docs/source/conf.py | EMBL-Hentze-group/htseq-clip | 3d3781918f8d23430b35c9be7faf4aa5f7541934 | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 35.781818 | 79 | 0.675305 |
9e4d14df4f5469f35a6efce0be4486578549f8cf | 9,821 | py | Python | oscar/lib/python2.7/site-packages/debug_toolbar/panels/templates/panel.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/debug_toolbar/panels/templates/panel.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/debug_toolbar/panels/templates/panel.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, unicode_literals
from collections import OrderedDict
from contextlib import contextmanager
from os.path import normpath
from pprint import pformat
from django import http
from django.conf.urls import url
from django.db.models.query import QuerySet, RawQuerySet
from dj... | 44.640909 | 101 | 0.588026 |
9e4d20f9772a1596a1b1cad9e9e3bd95126b9df2 | 806 | py | Python | test_chime.py | paw-lu/chime | a160a528c4bf4e7e21b0619ff80f98cc0e5e7bf9 | [
"MIT"
] | null | null | null | test_chime.py | paw-lu/chime | a160a528c4bf4e7e21b0619ff80f98cc0e5e7bf9 | [
"MIT"
] | null | null | null | test_chime.py | paw-lu/chime | a160a528c4bf4e7e21b0619ff80f98cc0e5e7bf9 | [
"MIT"
] | null | null | null | import subprocess
import time
import typing
import pytest
import chime
def test_speed():
tic = time.time()
chime.success()
toc = time.time()
assert toc - tic < .1
def test_no_warning():
with pytest.warns(None) as record:
chime.success(sync=True)
assert len(record) == 0
def test_n... | 21.210526 | 89 | 0.638958 |
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