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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4a00db21ab1a50fcc1218202d645edd09a25be1a | 766 | py | Python | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/images/tests/conftest.py | lisongshan007/azure-intelligent-edge-patterns | d95561d96625b4f0a8e69cc210149fe61c9f8b5c | [
"MIT"
] | null | null | null | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/images/tests/conftest.py | lisongshan007/azure-intelligent-edge-patterns | d95561d96625b4f0a8e69cc210149fe61c9f8b5c | [
"MIT"
] | null | null | null | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/images/tests/conftest.py | lisongshan007/azure-intelligent-edge-patterns | d95561d96625b4f0a8e69cc210149fe61c9f8b5c | [
"MIT"
] | null | null | null | """Conftest
"""
from unittest import mock
import pytest
from ...azure_projects.models import Project
from ...azure_settings.models import Setting
from ...cameras.models import Camera
@pytest.fixture(scope="function", autouse=True)
def mock_validate(monkeypatch):
monkeypatch.setattr(Setting, "validate", mock.Ma... | 26.413793 | 79 | 0.721932 |
4a00dbb5e2505ac01f119da49238cff0fe9cd380 | 513 | py | Python | gaussianize.py | frodre/LMR | 4c00d3f9db96447e69bd3f426d59524f7b5f3ef5 | [
"BSD-3-Clause"
] | 17 | 2018-08-27T18:50:36.000Z | 2021-03-17T22:48:55.000Z | gaussianize.py | mingsongli/LMR | 4c00d3f9db96447e69bd3f426d59524f7b5f3ef5 | [
"BSD-3-Clause"
] | 5 | 2018-10-15T22:13:27.000Z | 2019-04-26T11:45:58.000Z | gaussianize.py | mingsongli/LMR | 4c00d3f9db96447e69bd3f426d59524f7b5f3ef5 | [
"BSD-3-Clause"
] | 11 | 2018-10-11T19:35:34.000Z | 2021-08-17T12:08:11.000Z | import numpy as np
from scipy import special
import copy
def gaussianize(X):
#n = X.shape[0]
n = X[~np.isnan(X)].shape[0] # This line counts only elements with data.
#Xn = np.empty((n,))
Xn = copy.deepcopy(X) # This line retains the data type of the original data variable.
Xn[:] = np.NAN
nz ... | 25.65 | 91 | 0.608187 |
4a00dcb4c499eb40e1236e17aa987f40f973e2ba | 883 | py | Python | zigzag_conversion/zigzag_conversion_test.py | kevinzen/learning | 148129a1ec48e86e74c6ed244ba50ab682ebf00b | [
"MIT"
] | null | null | null | zigzag_conversion/zigzag_conversion_test.py | kevinzen/learning | 148129a1ec48e86e74c6ed244ba50ab682ebf00b | [
"MIT"
] | null | null | null | zigzag_conversion/zigzag_conversion_test.py | kevinzen/learning | 148129a1ec48e86e74c6ed244ba50ab682ebf00b | [
"MIT"
] | null | null | null | import unittest
from zigzag_conversion.solution import Solution
class ZigzagConversionTest(unittest.TestCase):
def test_zigzag_conversion(self):
s = Solution()
tests = [
("ABCD", 2, "ACBD"),
("ABABABABABABABABA", 2, "AAAAAAAAABBBBBBBB"),
('PAYPALISHIRING', 3,... | 29.433333 | 106 | 0.524349 |
4a00ddcb1891ffb069866ff46d073623de4d9269 | 1,311 | py | Python | webhook_trigger_service/basic/app_inputs.py | GShepherdTC/tcex-app-templates | fae927965563f98eed0bd7716afa3bf4d4fda3bf | [
"Apache-2.0"
] | 1 | 2022-02-23T16:04:16.000Z | 2022-02-23T16:04:16.000Z | webhook_trigger_service/basic/app_inputs.py | GShepherdTC/tcex-app-templates | fae927965563f98eed0bd7716afa3bf4d4fda3bf | [
"Apache-2.0"
] | null | null | null | webhook_trigger_service/basic/app_inputs.py | GShepherdTC/tcex-app-templates | fae927965563f98eed0bd7716afa3bf4d4fda3bf | [
"Apache-2.0"
] | 3 | 2022-02-16T18:13:58.000Z | 2022-03-31T18:46:20.000Z | """App Inputs"""
# standard library
from typing import List, Union
# third-party
from pydantic import BaseModel
from tcex.input.field_types import String
from tcex.input.models import CreateConfigModel
class ServiceConfigModel(BaseModel):
"""Base model for the App containing any common inputs.
Trigger Servi... | 26.755102 | 84 | 0.714722 |
4a00de3b774e8cb9b96e6fd91f4d387de3145d78 | 1,690 | py | Python | policies/named_policies/ElspethV9.py | TeamJumpstart/InformatiCup2021 | a4d07992f772d3a1e9ef715fa8e9ce2234cd47a4 | [
"MIT"
] | 10 | 2021-04-18T17:54:02.000Z | 2021-07-26T19:58:41.000Z | policies/named_policies/ElspethV9.py | DiddiZ/InformatiCup2021 | a4d07992f772d3a1e9ef715fa8e9ce2234cd47a4 | [
"MIT"
] | 1 | 2021-04-21T15:13:41.000Z | 2021-04-21T15:13:41.000Z | policies/named_policies/ElspethV9.py | DiddiZ/InformatiCup2021 | a4d07992f772d3a1e9ef715fa8e9ce2234cd47a4 | [
"MIT"
] | 1 | 2021-04-20T09:42:50.000Z | 2021-04-20T09:42:50.000Z | from heuristics import (
CompositeHeuristic, OpponentDistanceHeuristic, PathLengthHeuristic, RandomProbingHeuristic, RegionHeuristic,
VoronoiHeuristic
)
from policies import HeuristicPolicy
# Variant of ElspethV7 with closing_iterations working
pol = HeuristicPolicy(
CompositeHeuristic(
[
... | 33.8 | 112 | 0.540237 |
4a00dee2299b3547ef05740cc257a4567cd77250 | 4,573 | py | Python | pytorch3d/implicitron/tools/utils.py | ParikhKadam/pytorch3d | 5cd70067e2ba642d98fd36e8e31273366d1599cb | [
"MIT",
"BSD-3-Clause"
] | null | null | null | pytorch3d/implicitron/tools/utils.py | ParikhKadam/pytorch3d | 5cd70067e2ba642d98fd36e8e31273366d1599cb | [
"MIT",
"BSD-3-Clause"
] | null | null | null | pytorch3d/implicitron/tools/utils.py | ParikhKadam/pytorch3d | 5cd70067e2ba642d98fd36e8e31273366d1599cb | [
"MIT",
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import collections
import dataclasses
import time
from contextlib import contextmanager
from typing import Any... | 23.694301 | 83 | 0.598513 |
4a00df057c42a539e5b9d7f74cc1ff61a679d53b | 6,701 | py | Python | piquery/piq_feature.py | JaradC42/pyapi | 80b9c4419251343603c84b8054413bab013083a8 | [
"MIT"
] | 1 | 2019-10-18T00:55:10.000Z | 2019-10-18T00:55:10.000Z | piquery/piq_feature.py | JaradC42/pyapi | 80b9c4419251343603c84b8054413bab013083a8 | [
"MIT"
] | 65 | 2019-10-21T07:16:51.000Z | 2021-07-26T05:34:41.000Z | piquery/piq_feature.py | JaradC42/pyapi | 80b9c4419251343603c84b8054413bab013083a8 | [
"MIT"
] | 1 | 2019-10-17T22:13:01.000Z | 2019-10-17T22:13:01.000Z | import cv2 as cv
import numpy as np
import pandas as pd
import os
def parseKeypoints(kp):
return [{'center': p.pt,
'diameter': p.size,
'angle': p.angle,
'class_id': p.class_id,
'octave': p.octave,
'response': p.response} for p in kp]
def kpdfsort(kp):
return p... | 34.541237 | 134 | 0.55335 |
4a00df2d783cf79f563acda01b609263f0582a85 | 15,579 | py | Python | venv/Lib/site-packages/pandas/tests/arrays/categorical/test_operators.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 28,899 | 2016-10-13T03:32:12.000Z | 2022-03-31T21:39:05.000Z | venv/Lib/site-packages/pandas/tests/arrays/categorical/test_operators.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 31,004 | 2016-10-12T23:22:27.000Z | 2022-03-31T23:17:38.000Z | venv/Lib/site-packages/pandas/tests/arrays/categorical/test_operators.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 15,149 | 2016-10-13T03:21:31.000Z | 2022-03-31T18:46:47.000Z | import operator
import warnings
import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
from pandas.tests.arrays.categorical.common import TestCategorical
class TestCategoricalOpsWithFactor(TestCategorical):... | 38.657568 | 88 | 0.601451 |
4a00e01088bb0b81dfa997df094fe47ca1c5a0de | 2,975 | py | Python | tests/test_country_flags_unused.py | Pelmen323/Kaiserreich_Autotests | 3ad60ae09bb6d15922c5f581c0b1d80c3e8f08de | [
"MIT"
] | null | null | null | tests/test_country_flags_unused.py | Pelmen323/Kaiserreich_Autotests | 3ad60ae09bb6d15922c5f581c0b1d80c3e8f08de | [
"MIT"
] | null | null | null | tests/test_country_flags_unused.py | Pelmen323/Kaiserreich_Autotests | 3ad60ae09bb6d15922c5f581c0b1d80c3e8f08de | [
"MIT"
] | null | null | null | ##########################
# Test script to check for unused country flags
# If flag is not used via "has_country_flag" at least once, it will appear in test results
# By Pelmen, https://github.com/Pelmen323
##########################
import glob
import re
import os
from ..test_classes.generic_test_class import FileOpe... | 47.983871 | 192 | 0.627563 |
4a00e0a0cc7e6870328d694b16f1a5cbd3c03121 | 6,018 | py | Python | src/visualization/draw_patterns.py | chrhenning/snn_global_pattern_induction | 3ee4037a4568c393378eaec74483696d5281f376 | [
"Apache-2.0"
] | 9 | 2018-06-21T14:16:12.000Z | 2021-06-22T15:52:35.000Z | src/visualization/draw_patterns.py | Arthas1121/snn_global_pattern_induction | 3ee4037a4568c393378eaec74483696d5281f376 | [
"Apache-2.0"
] | null | null | null | src/visualization/draw_patterns.py | Arthas1121/snn_global_pattern_induction | 3ee4037a4568c393378eaec74483696d5281f376 | [
"Apache-2.0"
] | 4 | 2018-05-08T13:51:09.000Z | 2019-04-11T13:56:06.000Z | #!/usr/bin/env python3
# Copyright 2017 Christian Henning
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 31.673684 | 79 | 0.636756 |
4a00e0dda512b3211fe99784417d80db8643ecd2 | 11,666 | py | Python | vrchatapi/model/info_push_data_clickable.py | vrchatapi/vrchatapi-python | afe5ec9fda298723e7408358473aafe343e27d18 | [
"MIT"
] | 8 | 2021-08-25T02:35:30.000Z | 2022-03-28T18:11:58.000Z | vrchatapi/model/info_push_data_clickable.py | vrchatapi/vrchatapi-python | afe5ec9fda298723e7408358473aafe343e27d18 | [
"MIT"
] | 1 | 2022-03-18T20:29:30.000Z | 2022-03-18T20:35:05.000Z | vrchatapi/model/info_push_data_clickable.py | vrchatapi/vrchatapi-python | afe5ec9fda298723e7408358473aafe343e27d18 | [
"MIT"
] | 1 | 2022-01-11T10:49:12.000Z | 2022-01-11T10:49:12.000Z | """
VRChat API Documentation
The version of the OpenAPI document: 1.6.8
Contact: me@ruby.js.org
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from vrchatapi.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
... | 42.421818 | 121 | 0.566347 |
4a00e1294430918de4e285e4c00374ebdb2da252 | 7,014 | py | Python | assignments/assignment-6/src/GOT_classification.py | PeterThramkrongart/cds-language-portfolio | 9af745bdc42ed6b13121d2ef0382bcf7b888fbb3 | [
"MIT"
] | 1 | 2021-05-20T07:39:44.000Z | 2021-05-20T07:39:44.000Z | assignments/assignment-6/src/GOT_classification.py | PeterThramkrongart/cds-language-portfolio | 9af745bdc42ed6b13121d2ef0382bcf7b888fbb3 | [
"MIT"
] | null | null | null | assignments/assignment-6/src/GOT_classification.py | PeterThramkrongart/cds-language-portfolio | 9af745bdc42ed6b13121d2ef0382bcf7b888fbb3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# system tools
import os
import sys
sys.path.append(os.path.join(".."))
# pandas, numpy
import pandas as pd
import numpy as np
# import my classifier utility functions
import utils.classifier_utils as clf
from sklearn.preprocessing import LabelBinarizer, LabelEncoder
# Machine learning stuff f... | 32.174312 | 111 | 0.689621 |
4a00e158d69333c8c3b60948551b2d35dff83e34 | 1,038 | py | Python | kubernetes/test/test_v1_weighted_pod_affinity_term.py | jashandeep-sohi/kubernetes-python | e057f273069de445a2d5a250ac5fe37d79671f3b | [
"Apache-2.0"
] | 1 | 2020-05-08T12:41:04.000Z | 2020-05-08T12:41:04.000Z | kubernetes/test/test_v1_weighted_pod_affinity_term.py | jashandeep-sohi/kubernetes-python | e057f273069de445a2d5a250ac5fe37d79671f3b | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_v1_weighted_pod_affinity_term.py | jashandeep-sohi/kubernetes-python | e057f273069de445a2d5a250ac5fe37d79671f3b | [
"Apache-2.0"
] | 2 | 2021-07-09T08:49:05.000Z | 2021-08-03T18:08:36.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.10.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
i... | 23.066667 | 105 | 0.73025 |
4a00e3aac4d18ead908d5ca44b928b6205df6c84 | 1,349 | py | Python | sampling_methods/sampling_def.py | sarmadt/active-learning | e8c3ad15d8960a90debb7334ade236d914b12556 | [
"Apache-2.0"
] | null | null | null | sampling_methods/sampling_def.py | sarmadt/active-learning | e8c3ad15d8960a90debb7334ade236d914b12556 | [
"Apache-2.0"
] | null | null | null | sampling_methods/sampling_def.py | sarmadt/active-learning | e8c3ad15d8960a90debb7334ade236d914b12556 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 25.942308 | 74 | 0.722758 |
4a00e4eb7f20c912003179858cb4ea2b28aa25e8 | 3,099 | py | Python | src/pyobo/sources/biogrid.py | ddomingof/pyobo | 057a76e729fe063d8cb58ddb38076e19c4336725 | [
"MIT"
] | null | null | null | src/pyobo/sources/biogrid.py | ddomingof/pyobo | 057a76e729fe063d8cb58ddb38076e19c4336725 | [
"MIT"
] | null | null | null | src/pyobo/sources/biogrid.py | ddomingof/pyobo | 057a76e729fe063d8cb58ddb38076e19c4336725 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Extract and convert BioGRID identifiers."""
from typing import Mapping
import pandas as pd
from pyobo.cache_utils import cached_mapping
from pyobo.extract import get_name_id_mapping
from pyobo.path_utils import ensure_df, prefix_directory_join
PREFIX = 'biogrid'
VERSION = '3.5.186'
BASE_... | 39.730769 | 116 | 0.704098 |
4a00e5fc6979b93e7a097cfd1a2d33ba3df1ab07 | 484 | py | Python | data/data_loader.py | sthadas/Perceptual_similarity | 5d21660e66e1ea31d72462db35aa4a8c850d6016 | [
"BSD-2-Clause"
] | 1 | 2018-10-03T13:32:09.000Z | 2018-10-03T13:32:09.000Z | data/data_loader.py | sthadas/Perceptual_similarity | 5d21660e66e1ea31d72462db35aa4a8c850d6016 | [
"BSD-2-Clause"
] | null | null | null | data/data_loader.py | sthadas/Perceptual_similarity | 5d21660e66e1ea31d72462db35aa4a8c850d6016 | [
"BSD-2-Clause"
] | null | null | null | def CreateDataLoader(datafolder,dataroot='./scripts/dataset',dataset_mode='2afc',load_size=64,batch_size=1,serial_batches=True):
from data.custom_dataset_data_loader import CustomDatasetDataLoader
data_loader = CustomDatasetDataLoader()
# print(data_loader.name())
data_loader.initialize(datafolder,datar... | 69.142857 | 183 | 0.82438 |
4a00e821dc026bd8158348004682853b4db7283b | 2,884 | py | Python | homeschool/schools/models.py | sabrisay/homeschool | a48cbb8483627e7f74af518397f591fb73abe709 | [
"MIT"
] | null | null | null | homeschool/schools/models.py | sabrisay/homeschool | a48cbb8483627e7f74af518397f591fb73abe709 | [
"MIT"
] | null | null | null | homeschool/schools/models.py | sabrisay/homeschool | a48cbb8483627e7f74af518397f591fb73abe709 | [
"MIT"
] | null | null | null | import uuid
from typing import Optional
from django.conf import settings
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.utils import timezone
from homeschool.core.models import DaysOfWeekModel
from homeschool.users.models import User
clas... | 32.404494 | 83 | 0.682039 |
4a00e83251dc2e41f571f6253b49bc870c5f99cf | 2,107 | py | Python | ui/server.py | TihonkovSergey/twitch_speech | ca916c49832f30ebe3f5ff7caa1e4ca69d6ad379 | [
"Unlicense"
] | null | null | null | ui/server.py | TihonkovSergey/twitch_speech | ca916c49832f30ebe3f5ff7caa1e4ca69d6ad379 | [
"Unlicense"
] | null | null | null | ui/server.py | TihonkovSergey/twitch_speech | ca916c49832f30ebe3f5ff7caa1e4ca69d6ad379 | [
"Unlicense"
] | null | null | null | from flask import Flask, request, jsonify
from flask_cors import CORS
import sys
sys.path.append("/home/sergey/Documents/homeworks/twitch_speech/")
from utils.main_server import TwitchSpeechServer
from utils.db_connector import DBConnector
import config as cf
pipeline_server = TwitchSpeechServer()
db_connector = DBC... | 25.083333 | 87 | 0.636925 |
4a00e855e4e626b04009286c3e525d5e41b63b5e | 1,161 | py | Python | pyleecan/Methods/Slot/SlotW16/build_geometry.py | ajpina/pyleecan | f8d1fce7d108cf443f5767e35d59ff15905fb49f | [
"Apache-2.0"
] | 2 | 2020-08-28T14:54:55.000Z | 2021-03-13T19:34:45.000Z | pyleecan/Methods/Slot/SlotW16/build_geometry.py | ajpina/pyleecan | f8d1fce7d108cf443f5767e35d59ff15905fb49f | [
"Apache-2.0"
] | null | null | null | pyleecan/Methods/Slot/SlotW16/build_geometry.py | ajpina/pyleecan | f8d1fce7d108cf443f5767e35d59ff15905fb49f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from ....Classes.Arc1 import Arc1
from ....Classes.Segment import Segment
def build_geometry(self):
"""Compute the curve (Line) needed to plot the Slot.
The ending point of a curve is the starting point of the next curve in
the list
Parameters
----------
self : SlotW1... | 28.317073 | 85 | 0.655469 |
4a00ea14c09904e4cc6e9d56fac1938f20d324cc | 20,518 | py | Python | fence/__init__.py | grugna/fence | 8cf0bb4160d82c03b58a176637df73458bd694e4 | [
"Apache-2.0"
] | null | null | null | fence/__init__.py | grugna/fence | 8cf0bb4160d82c03b58a176637df73458bd694e4 | [
"Apache-2.0"
] | null | null | null | fence/__init__.py | grugna/fence | 8cf0bb4160d82c03b58a176637df73458bd694e4 | [
"Apache-2.0"
] | 1 | 2022-02-10T20:21:35.000Z | 2022-02-10T20:21:35.000Z | from collections import OrderedDict
import os
import tempfile
from urllib.parse import urljoin
import flask
from flask_cors import CORS
from flask_sqlalchemy_session import flask_scoped_session, current_session
from authutils.oauth2.client import OAuthClient
from cdislogging import get_logger
from gen3authz.client.arb... | 36.770609 | 170 | 0.669705 |
4a00eade946fd3aa60a69dea9c4e5df3f8aa3da8 | 809 | py | Python | pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/vrml/vrml97/script.py | alexus37/AugmentedRealityChess | 7f600ad153270feff12aa7aa86d7ed0a49ebc71c | [
"MIT"
] | 1 | 2015-07-12T07:24:17.000Z | 2015-07-12T07:24:17.000Z | pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/vrml/vrml97/script.py | alexus37/AugmentedRealityChess | 7f600ad153270feff12aa7aa86d7ed0a49ebc71c | [
"MIT"
] | null | null | null | pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/vrml/vrml97/script.py | alexus37/AugmentedRealityChess | 7f600ad153270feff12aa7aa86d7ed0a49ebc71c | [
"MIT"
] | 1 | 2016-02-19T21:55:53.000Z | 2016-02-19T21:55:53.000Z | """VRML97 Script-node stub"""
from vrml import node, fieldtypes
from vrml.vrml97 import nodetypes
class _Script( nodetypes.Children, node.Node ):
"""A sub-type of node with scripting/pseudo-proto support
The class here just handles basic node-like functionality,
a special constructor factory takes care of... | 31.115385 | 73 | 0.674907 |
4a00ebd015718505b6d5730203993796904e2f85 | 56,125 | py | Python | requests_auth/authentication.py | bottoy/requests_auth | f95ecd833d52341ebe0e2c974d133577ae124dd9 | [
"MIT"
] | 1 | 2020-04-02T02:29:56.000Z | 2020-04-02T02:29:56.000Z | requests_auth/authentication.py | bottoy/requests_auth | f95ecd833d52341ebe0e2c974d133577ae124dd9 | [
"MIT"
] | null | null | null | requests_auth/authentication.py | bottoy/requests_auth | f95ecd833d52341ebe0e2c974d133577ae124dd9 | [
"MIT"
] | null | null | null | import base64
import os
import uuid
from hashlib import sha256, sha512
from urllib.parse import parse_qs, urlsplit, urlunsplit, urlencode
from typing import Optional
import requests
import requests.auth
import warnings
from requests_auth import oauth2_authentication_responses_server, oauth2_tokens
from requests_auth.... | 48.467185 | 118 | 0.680659 |
4a00ec1734ef4694de51af68f2cd2a5950ad71e4 | 9,536 | py | Python | CIFAR/C100P1.2DropOutPatched.py | kice/SeqResNet | b9663b5835b1605c4a6bd79f0f5bbefa0a95e8b4 | [
"MIT"
] | 1 | 2019-04-06T17:33:38.000Z | 2019-04-06T17:33:38.000Z | CIFAR/C100P1.2DropOutPatched.py | kice/SeqResNet | b9663b5835b1605c4a6bd79f0f5bbefa0a95e8b4 | [
"MIT"
] | null | null | null | CIFAR/C100P1.2DropOutPatched.py | kice/SeqResNet | b9663b5835b1605c4a6bd79f0f5bbefa0a95e8b4 | [
"MIT"
] | null | null | null | import os
import time
import torch
from torchvision import datasets, transforms
from ModelDropOutPatched import ResNetCIFAR
import numpy as np
import random
np.random.seed(0)
random.seed(0)
torch.manual_seed(0)
torch.cuda.manual_seed(0)
torch.cuda.manual_seed_all(0)
torch.backends.cudnn.deterministic = True
torch.back... | 33.226481 | 150 | 0.6013 |
4a00ec98739ca575b465bf9e7b34486eb4bdc5d1 | 17,770 | py | Python | pymc3/step_methods/hmc/nuts.py | mcnoat/pymc3 | 8b1f64cce32db3357301b88bbe9f7108733ac70a | [
"Apache-2.0"
] | 4 | 2021-03-26T10:13:46.000Z | 2021-05-21T15:45:20.000Z | pymc3/step_methods/hmc/nuts.py | mcnoat/pymc3 | 8b1f64cce32db3357301b88bbe9f7108733ac70a | [
"Apache-2.0"
] | 2 | 2017-11-27T00:11:53.000Z | 2017-11-27T00:42:36.000Z | pymc3/step_methods/hmc/nuts.py | mcnoat/pymc3 | 8b1f64cce32db3357301b88bbe9f7108733ac70a | [
"Apache-2.0"
] | 6 | 2017-11-03T01:15:11.000Z | 2022-03-17T12:26:45.000Z | # Copyright 2020 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 42.511962 | 100 | 0.632696 |
4a00ecb2516a935447f54d97356c81c106bbc17a | 3,520 | py | Python | code/tf_string_utils.py | zkk995/NonSeqDIN | a71dfe615b782c70138eb1e7571b2f781858700a | [
"Apache-2.0"
] | null | null | null | code/tf_string_utils.py | zkk995/NonSeqDIN | a71dfe615b782c70138eb1e7571b2f781858700a | [
"Apache-2.0"
] | 1 | 2021-05-25T09:40:12.000Z | 2021-05-25T09:40:12.000Z | code/tf_string_utils.py | zkk995/NonSeqDIN | a71dfe615b782c70138eb1e7571b2f781858700a | [
"Apache-2.0"
] | 1 | 2021-05-25T09:37:45.000Z | 2021-05-25T09:37:45.000Z | import tensorflow as tf
def string_seq_to_tensor(lines, max_len=64, sep=',', out_type=tf.float32, mode=1):
'''
lines = ['1,2,3', '3,4']
返回：
array([[1., 2., 3.],
[3., 4., 0.]], dtype=float32)
说明: 同PAITF的函数trans_csv_id2dense(records, max_id, id_as_value=True)
'''
sps = tf.string_sp... | 39.550562 | 118 | 0.625852 |
4a00ecf7085d8d4484978bce42812cb0255b3cc1 | 946 | py | Python | kubernetes_asyncio/test/test_v1_affinity.py | olitheolix/kubernetes_asyncio | 344426793e4e4b653bcd8e4a29c6fa4766e1fff7 | [
"Apache-2.0"
] | 1 | 2020-03-25T01:24:27.000Z | 2020-03-25T01:24:27.000Z | kubernetes_asyncio/test/test_v1_affinity.py | olitheolix/kubernetes_asyncio | 344426793e4e4b653bcd8e4a29c6fa4766e1fff7 | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/test/test_v1_affinity.py | olitheolix/kubernetes_asyncio | 344426793e4e4b653bcd8e4a29c6fa4766e1fff7 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: v1.10.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import u... | 23.073171 | 119 | 0.709302 |
4a00ed6eabe972eab7011fffd07ae26b7e98de05 | 3,004 | py | Python | figure_depth.py | idiap/psfestimation | 1f3cbf594fd5a36675ff2941fa6e292a935f1aae | [
"BSD-3-Clause"
] | 17 | 2020-06-16T20:58:48.000Z | 2022-01-18T10:53:57.000Z | figure_depth.py | idiap/psfestimation | 1f3cbf594fd5a36675ff2941fa6e292a935f1aae | [
"BSD-3-Clause"
] | 2 | 2020-06-17T20:30:54.000Z | 2021-09-17T10:44:33.000Z | figure_depth.py | idiap/psfestimation | 1f3cbf594fd5a36675ff2941fa6e292a935f1aae | [
"BSD-3-Clause"
] | 1 | 2021-03-20T12:59:36.000Z | 2021-03-20T12:59:36.000Z | '''
Code for the implementation of
"Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy"
Copyright (c) 2020 Idiap Research Institute, https://www.idiap.ch/
Written by Adrian Shajkofci <adrian.shajkofci@idiap.ch>,
All rights reserved.
This fil... | 38.512821 | 129 | 0.76731 |
4a00efbee0cacc553d689c9c435952e3264eb2e6 | 870 | py | Python | clase 2/algoritmos.py | cardenasG1238/computacion_para_ingenieria | f57ccd2c72d50fb34c9d8acdce75f6ba3f323f9c | [
"Apache-2.0"
] | null | null | null | clase 2/algoritmos.py | cardenasG1238/computacion_para_ingenieria | f57ccd2c72d50fb34c9d8acdce75f6ba3f323f9c | [
"Apache-2.0"
] | null | null | null | clase 2/algoritmos.py | cardenasG1238/computacion_para_ingenieria | f57ccd2c72d50fb34c9d8acdce75f6ba3f323f9c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 1 10:19:05 2022
@author: HP
"""
# contadores de 1 en 1
cont = 0
# cont +=1 #--> cont = cont +1
# 1 .- contar numeros del 1 al 10 y mostrar en la pantalla
while cont < 10:
cont = cont +1
print (cont)
# 2.- sumar los numeros del 1 al 10
# list = [1, 2,4,3,,,... | 20.232558 | 58 | 0.56092 |
4a00eff388ca18422c010785c6300842e65a170a | 293 | py | Python | deliverable3/ui/functions/task_hyperbolic_sine.py | rmanaem/eternity | e99910747ee3ff7c1342f8ad9802e9a060ca8fc5 | [
"MIT"
] | null | null | null | deliverable3/ui/functions/task_hyperbolic_sine.py | rmanaem/eternity | e99910747ee3ff7c1342f8ad9802e9a060ca8fc5 | [
"MIT"
] | null | null | null | deliverable3/ui/functions/task_hyperbolic_sine.py | rmanaem/eternity | e99910747ee3ff7c1342f8ad9802e9a060ca8fc5 | [
"MIT"
] | null | null | null | from hyperbolic_sine import HyperbolicSine
#Checking Sinh(2.5)
sinh = HyperbolicSine(2.5)
x = sinh.calculate_sinh()
#Checking Sinh(3)
sinh.set_value(3)
y = sinh.calculate_sinh()
#Checking Sinh(2+2j)
sinh.set_value(2+2j)
z = sinh.calculate_sinh()
print(x)
print(y)
print(z)
print((x*y) + z) | 16.277778 | 42 | 0.730375 |
4a00f0bc5f715049f165f987f4a8c5f2e1c9eb56 | 9,312 | py | Python | analysis_collection/tracing_sim/results_exponential_withoutQ_NMEAS_100_ONLYSAVETIME_False/simulation.py | benmaier/DigCT | 62fc3fddb7600e2a43761e08618b2e3df423569c | [
"MIT"
] | null | null | null | analysis_collection/tracing_sim/results_exponential_withoutQ_NMEAS_100_ONLYSAVETIME_False/simulation.py | benmaier/DigCT | 62fc3fddb7600e2a43761e08618b2e3df423569c | [
"MIT"
] | null | null | null | analysis_collection/tracing_sim/results_exponential_withoutQ_NMEAS_100_ONLYSAVETIME_False/simulation.py | benmaier/DigCT | 62fc3fddb7600e2a43761e08618b2e3df423569c | [
"MIT"
] | 1 | 2021-07-12T13:50:35.000Z | 2021-07-12T13:50:35.000Z | import epipack
import numpy as np
from epipack.stochastic_epi_models import StochasticEpiModel
from math import exp
from numpy import random
import networkx as nx
#from smallworld import get_smallworld_graph
from scipy.stats import expon
import numpy as np
import networkx as nx
def _edge(i,j):
if i > j:
re... | 38.320988 | 180 | 0.459837 |
4a00f19273c169b7b7a7d81f38abc2e0d17034bd | 7,123 | py | Python | src/azure-cli/azure/cli/command_modules/redis/_help.py | AnshulBhl/azure-cli | 24f7efbe23a9c874ae06e4bfda216d9aa6cbf3a3 | [
"MIT"
] | 1 | 2021-08-23T19:53:54.000Z | 2021-08-23T19:53:54.000Z | src/azure-cli/azure/cli/command_modules/redis/_help.py | amisi01/azure-cli | 49206c5b12312985b417f557857fa409bf8aed2e | [
"MIT"
] | null | null | null | src/azure-cli/azure/cli/command_modules/redis/_help.py | amisi01/azure-cli | 49206c5b12312985b417f557857fa409bf8aed2e | [
"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.
# -----------------------------------------------------... | 47.486667 | 402 | 0.732557 |
4a00f1a697718e3fc1454210854ebcfed0fb02c1 | 192 | py | Python | nyamuk/utils.py | MasterScott/nyamuk | ac4c6028de288a4c8e0b332ae16eae889deb643d | [
"BSD-2-Clause"
] | 49 | 2015-01-27T15:06:31.000Z | 2022-02-18T13:51:48.000Z | nyamuk/utils.py | MasterScott/nyamuk | ac4c6028de288a4c8e0b332ae16eae889deb643d | [
"BSD-2-Clause"
] | 10 | 2015-03-19T13:24:33.000Z | 2019-03-01T10:06:23.000Z | nyamuk/utils.py | MasterScott/nyamuk | ac4c6028de288a4c8e0b332ae16eae889deb643d | [
"BSD-2-Clause"
] | 19 | 2015-01-27T15:13:29.000Z | 2021-05-23T13:43:52.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
# encode unicode string to utf8
#
def utf8encode(unistr):
if type(unistr) is unicode:
return unistr.encode('utf8')
return unistr
| 17.454545 | 36 | 0.645833 |
4a00f1e4516292a987ecf992719b07f404334f17 | 4,537 | py | Python | painless_redirects/middleware-legacy-dry.py | benzkji/django-painless-redirects | 03c6623f11794f7dff6a4a996daca96c8775094c | [
"MIT"
] | 1 | 2020-05-30T09:10:50.000Z | 2020-05-30T09:10:50.000Z | painless_redirects/middleware-legacy-dry.py | bnzk/django-painless-redirects | 03c6623f11794f7dff6a4a996daca96c8775094c | [
"MIT"
] | 26 | 2017-03-21T10:30:29.000Z | 2022-03-23T14:36:15.000Z | painless_redirects/middleware-legacy-dry.py | benzkji/django-painless-redirects | 03c6623f11794f7dff6a4a996daca96c8775094c | [
"MIT"
] | 2 | 2017-03-18T10:48:44.000Z | 2017-10-10T07:18:54.000Z | # coding: utf-8
from __future__ import unicode_literals
from django.conf import settings
from django import http
from django.utils.encoding import force_text
from django.utils.http import urlquote
from django.contrib.sites.models import Site
from .models import Redirect
class ForceSiteDomainRedirectMiddleware(objec... | 39.112069 | 82 | 0.592242 |
4a00f237cafb3642648392a5f7a5b1d8f51fe3c7 | 4,229 | py | Python | web/tests/functional/skip/__init__.py | ryankurte/codechecker | 737424ee77c181304f242d5a2adef3e6d9369998 | [
"Apache-2.0"
] | 1,601 | 2015-07-22T20:01:32.000Z | 2022-03-31T03:04:36.000Z | web/tests/functional/skip/__init__.py | ryankurte/codechecker | 737424ee77c181304f242d5a2adef3e6d9369998 | [
"Apache-2.0"
] | 2,056 | 2015-07-20T09:39:25.000Z | 2022-03-31T10:18:08.000Z | web/tests/functional/skip/__init__.py | ryankurte/codechecker | 737424ee77c181304f242d5a2adef3e6d9369998 | [
"Apache-2.0"
] | 288 | 2015-07-15T18:57:18.000Z | 2022-03-30T13:40:13.000Z | # coding=utf-8
# -------------------------------------------------------------------------
#
# Part of the CodeChecker project, under the Apache License v2.0 with
# LLVM Exceptions. See LICENSE for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
# ------------------------------------... | 28.768707 | 75 | 0.641996 |
4a00f36bdd723f4abaf0c2dafd240e7ad0ffe2fd | 115 | py | Python | app/orders/apps.py | Zed-chi/Shultais_Django_introduction | 875c7f309083dc6c92eba275d86779e83a34830e | [
"MIT"
] | 1 | 2020-05-28T17:04:56.000Z | 2020-05-28T17:04:56.000Z | app/orders/apps.py | Zed-chi/Shultais_Django_introduction | 875c7f309083dc6c92eba275d86779e83a34830e | [
"MIT"
] | null | null | null | app/orders/apps.py | Zed-chi/Shultais_Django_introduction | 875c7f309083dc6c92eba275d86779e83a34830e | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class OrdersConfig(AppConfig):
name = "orders"
verbose_name = "Заказы"
| 16.428571 | 33 | 0.721739 |
4a00f42812f589d83777f0fb6367f01335a2e638 | 1,935 | py | Python | setup.py | fredhallgren/nystrompca | 7f8923af08551ad477a446c383822b555326f4bf | [
"Apache-2.0"
] | 4 | 2021-09-14T08:46:10.000Z | 2021-10-31T09:44:06.000Z | setup.py | fredhallgren/nystrompca | 7f8923af08551ad477a446c383822b555326f4bf | [
"Apache-2.0"
] | null | null | null | setup.py | fredhallgren/nystrompca | 7f8923af08551ad477a446c383822b555326f4bf | [
"Apache-2.0"
] | null | null | null |
from setuptools import setup, find_packages
with open("requirements.txt") as f:
requirements_list = f.read().split('\n')
setup(name = "nystrompca",
version = "1.0.2",
description = "Kernel PCA with the Nyström method",
author = "Fredrik Hal... | 47.195122 | 295 | 0.57261 |
4a00f51c296577000f07d8ff66f0b05e1d95e269 | 1,161 | py | Python | bayesian/examples/gaussian_bayesian_networks/river.py | Ecotrust/bayesian-belief-networks | 9bf4a5c75789204ea8d83e83bd410f1716cd81e0 | [
"Apache-2.0"
] | 1 | 2015-10-18T22:45:39.000Z | 2015-10-18T22:45:39.000Z | bayesian/examples/gaussian_bayesian_networks/river.py | Ecotrust/bayesian-belief-networks | 9bf4a5c75789204ea8d83e83bd410f1716cd81e0 | [
"Apache-2.0"
] | null | null | null | bayesian/examples/gaussian_bayesian_networks/river.py | Ecotrust/bayesian-belief-networks | 9bf4a5c75789204ea8d83e83bd410f1716cd81e0 | [
"Apache-2.0"
] | null | null | null |
'''Simple Example Using Gaussian Variables'''
from bayesian.gaussian_bayesian_network import gaussian, conditional_gaussian
from bayesian.gaussian_bayesian_network import build_graph
from bayesian.utils import shrink_matrix
'''
This example comes from page 3 of
http://people.cs.aau.dk/~uk/papers/castillo-kjaerulff-03... | 20.732143 | 77 | 0.6882 |
4a00f786e0478c7f51698ee68a355e4f9712b062 | 920 | py | Python | gkmerge/data_tools/data_analysis.py | ISCOTTYI/gk-merge | d12421c23ea2d28f5f2bf7985c54b1e3f062cdbc | [
"MIT"
] | null | null | null | gkmerge/data_tools/data_analysis.py | ISCOTTYI/gk-merge | d12421c23ea2d28f5f2bf7985c54b1e3f062cdbc | [
"MIT"
] | null | null | null | gkmerge/data_tools/data_analysis.py | ISCOTTYI/gk-merge | d12421c23ea2d28f5f2bf7985c54b1e3f062cdbc | [
"MIT"
] | null | null | null | from gkmerge.data_tools.util import *
def contagion_extend(df_or_af_lst, cascade_threshold):
"""
For a given list of defaulted fractions from various simulation runs
calculates the mean contagion extend where a global cascade is defined
accoring to cadcade_threshold.
"""
return filtered_mean(d... | 32.857143 | 95 | 0.769565 |
4a00f7baab9fc54a99bfd240dd2b34442dc73e6e | 16,153 | py | Python | nobrainer/dataset.py | kaczmarj/nobrainer | c1b17831a0e816d19ed79dbf620401f989f13bc2 | [
"Apache-2.0"
] | 17 | 2018-03-19T03:13:53.000Z | 2019-03-27T11:10:55.000Z | nobrainer/dataset.py | kaczmarj/nobrainer | c1b17831a0e816d19ed79dbf620401f989f13bc2 | [
"Apache-2.0"
] | 29 | 2018-02-08T14:49:06.000Z | 2019-03-19T21:03:58.000Z | nobrainer/dataset.py | kaczmarj/nobrainer | c1b17831a0e816d19ed79dbf620401f989f13bc2 | [
"Apache-2.0"
] | 12 | 2018-01-29T20:36:31.000Z | 2019-03-25T22:52:09.000Z | """Methods for creating `tf.data.Dataset` objects."""
import math
import os
from pathlib import Path
import fsspec
import nibabel as nb
import numpy as np
import tensorflow as tf
from .io import _is_gzipped, verify_features_labels
from .tfrecord import _labels_all_scalar, parse_example_fn, write
from .volume import ... | 38.922892 | 90 | 0.642977 |
4a00f853b1d03eb38845603319bf1209e0320898 | 3,669 | py | Python | tests/test_stream2.py | dfeeley/alpaca-trade-api-python | 392436697231f971d1dc83d4ee5c07ac84c23ff3 | [
"Apache-2.0"
] | 2 | 2020-02-15T22:03:20.000Z | 2021-04-09T16:30:14.000Z | tests/test_stream2.py | dfeeley/alpaca-trade-api-python | 392436697231f971d1dc83d4ee5c07ac84c23ff3 | [
"Apache-2.0"
] | null | null | null | tests/test_stream2.py | dfeeley/alpaca-trade-api-python | 392436697231f971d1dc83d4ee5c07ac84c23ff3 | [
"Apache-2.0"
] | null | null | null | from alpaca_trade_api.stream2 import StreamConn
from alpaca_trade_api.entity import Account
from alpaca_trade_api.polygon.entity import Entity as PolyEntity
import asyncio
import json
import pytest
from unittest import mock
def AsyncMock(*args, **kwargs):
"""Create an async function mock."""
m = mock.MagicMo... | 26.586957 | 74 | 0.635323 |
4a00f92a4ec8400b3719c9cc287ee960c480b0a9 | 5,462 | py | Python | Wrappers/Python/ccpi/optimisation/operators/MaskOperator.py | KrisThielemans/CCPi-Framework | fed2e86a65fa67aa89d0a690438bf76f4828266e | [
"Apache-2.0"
] | null | null | null | Wrappers/Python/ccpi/optimisation/operators/MaskOperator.py | KrisThielemans/CCPi-Framework | fed2e86a65fa67aa89d0a690438bf76f4828266e | [
"Apache-2.0"
] | null | null | null | Wrappers/Python/ccpi/optimisation/operators/MaskOperator.py | KrisThielemans/CCPi-Framework | fed2e86a65fa67aa89d0a690438bf76f4828266e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# CCP in Tomographic Imaging (CCPi) Core Imaging Library (CIL).
# Copyright 2017-2020 UKRI-STFC
# Copyright 2017-2020 University of Manchester
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You m... | 34.352201 | 133 | 0.641706 |
4a00f9509e7fcd255bdc819a8a8c71fafe79d788 | 18,536 | py | Python | demisto_sdk/tests/constants_test.py | kfirstri/demisto-sdk | 59d99cf4b5016be8a4a333c2541418e1612549e1 | [
"MIT"
] | null | null | null | demisto_sdk/tests/constants_test.py | kfirstri/demisto-sdk | 59d99cf4b5016be8a4a333c2541418e1612549e1 | [
"MIT"
] | null | null | null | demisto_sdk/tests/constants_test.py | kfirstri/demisto-sdk | 59d99cf4b5016be8a4a333c2541418e1612549e1 | [
"MIT"
] | null | null | null | import demisto_sdk.commands.common.constants as constants
import pytest
from demisto_sdk.commands.common.legacy_git_tools import git_path
GIT_ROOT = "{}".format(git_path())
INVALID_PLAYBOOK_PATH = f"{GIT_ROOT}/demisto_sdk/tests/test_files/Playbooks.playbook-invalid.yml"
VALID_TEST_PLAYBOOK_PATH = f"{GIT_ROOT}/demisto_... | 69.423221 | 130 | 0.81107 |
4a00f973ba48cb6d3ca1345fc8bff3b36f18c329 | 2,989 | py | Python | hw1_fit_a_function/main.py | ybs985/DeepLearning | d38b682be054f5c997bbcefc7c9056e9da9ddf4b | [
"MIT"
] | null | null | null | hw1_fit_a_function/main.py | ybs985/DeepLearning | d38b682be054f5c997bbcefc7c9056e9da9ddf4b | [
"MIT"
] | null | null | null | hw1_fit_a_function/main.py | ybs985/DeepLearning | d38b682be054f5c997bbcefc7c9056e9da9ddf4b | [
"MIT"
] | null | null | null | import paddle
from paddle.nn import Linear
import paddle.nn.functional as F
import numpy as np
import math
import random
from matplotlib import pyplot as plt
#定义正态分布函数，生成数据点
sample_point=1000
def f(x):
return math.exp(-x**2/2)/math.sqrt(2*math.pi)
x=np.zeros(sample_point)
y=np.zeros(sample_point)
for i in range(sa... | 26.451327 | 77 | 0.71094 |
4a00f9a38bc6588836dbf7f78612191b750b1219 | 2,249 | py | Python | Pipelines/general_ner.py | FredHutch/HutchNER | 567f48b2ea283ba302c9246eb5bb494d6b19b34c | [
"Apache-2.0"
] | null | null | null | Pipelines/general_ner.py | FredHutch/HutchNER | 567f48b2ea283ba302c9246eb5bb494d6b19b34c | [
"Apache-2.0"
] | null | null | null | Pipelines/general_ner.py | FredHutch/HutchNER | 567f48b2ea283ba302c9246eb5bb494d6b19b34c | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016-2017 Fred Hutchinson Cancer Research Center
#
# Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0
#
from flask import json
from DataLoading.JSONDataLoader import JSONDataLoader
def docs2json(docs):
doc_dict=dict()
for id, doc in docs.items():
... | 46.854167 | 754 | 0.691418 |
4a00fb7c0d63aa461b25ddd615d1c2292099b314 | 13,833 | py | Python | python/GafferUITest/WidgetTest.py | timlehr/gaffer | 354acd6af7500e0bd1ce19d7c417929e2f0a919e | [
"BSD-3-Clause"
] | null | null | null | python/GafferUITest/WidgetTest.py | timlehr/gaffer | 354acd6af7500e0bd1ce19d7c417929e2f0a919e | [
"BSD-3-Clause"
] | null | null | null | python/GafferUITest/WidgetTest.py | timlehr/gaffer | 354acd6af7500e0bd1ce19d7c417929e2f0a919e | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
#
# Copyright (c) 2011-2012, John Haddon. All rights reserved.
# Copyright (c) 2011-2015, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted prov... | 28.81875 | 150 | 0.686908 |
4a00fbba470573f32094f91aa94882f1d83d815b | 46 | py | Python | seleniumcrawler/__init__.py | Goku0858756/selenium-crawler | e49df4c1f40a330af19d90b7c59d49ac1acee86c | [
"MIT"
] | 83 | 2015-10-07T06:34:45.000Z | 2022-03-09T06:26:54.000Z | seleniumcrawler/__init__.py | corywalker/selenium-crawler | e49df4c1f40a330af19d90b7c59d49ac1acee86c | [
"MIT"
] | null | null | null | seleniumcrawler/__init__.py | corywalker/selenium-crawler | e49df4c1f40a330af19d90b7c59d49ac1acee86c | [
"MIT"
] | 29 | 2015-12-04T13:08:16.000Z | 2021-07-15T23:15:36.000Z | from seleniumcrawler.handle import handle_url
| 23 | 45 | 0.891304 |
4a00fbdf02d1563797801d28bbfc1b5455dce41d | 16,041 | py | Python | disnake/sticker.py | Kraots/disnake | 9eb9ab81915dae7249ffb2b757dd6dee6090341e | [
"MIT"
] | null | null | null | disnake/sticker.py | Kraots/disnake | 9eb9ab81915dae7249ffb2b757dd6dee6090341e | [
"MIT"
] | null | null | null | disnake/sticker.py | Kraots/disnake | 9eb9ab81915dae7249ffb2b757dd6dee6090341e | [
"MIT"
] | null | null | null | """
The MIT License (MIT)
Copyright (c) 2015-present Rapptz
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merg... | 30.266038 | 108 | 0.614737 |
4a00ffce90d53e6873bf27daeff3eb374749fb17 | 136 | py | Python | src/ltdconveyor/s3/exceptions.py | lsst-sqre/ltd-conveyor | 713cdd3325a45a96261eea07933df3ce37998d85 | [
"MIT"
] | null | null | null | src/ltdconveyor/s3/exceptions.py | lsst-sqre/ltd-conveyor | 713cdd3325a45a96261eea07933df3ce37998d85 | [
"MIT"
] | 8 | 2017-02-02T21:50:24.000Z | 2022-03-11T18:45:43.000Z | src/ltdconveyor/s3/exceptions.py | lsst-sqre/ltd-conveyor | 713cdd3325a45a96261eea07933df3ce37998d85 | [
"MIT"
] | null | null | null | __all__ = ("S3Error",)
from ..exceptions import ConveyorError
class S3Error(ConveyorError):
"""Error related to AWS S3 usage."""
| 17 | 40 | 0.705882 |
4a00ffcf0101591a0de613ec9c5e3bfced22d4e0 | 415 | py | Python | SleekSecurity/layers/plugins/fingerprint/framework/play.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/fingerprint/framework/play.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/fingerprint/framework/play.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# @name: Wascan - Web Application Scanner
# @repo: https://github.com/m4ll0k/Wascan
# @author: Momo Outaadi (M4ll0k)
# @license: See the file 'LICENSE.txt
from re import search,I
def play(headers,content):
_ = False
for header in headers.items():
_ |= search(... | 25.9375 | 55 | 0.662651 |
4a01000b82d47dbd71f1eba8a1e1aba0f1d97d9b | 14,249 | py | Python | src/Testing/ZopeTestCase/testBaseTestCase.py | dek4nice/Zope | ec4765fc0007c4e78aafcbeef510077444f8551a | [
"ZPL-2.1"
] | 1 | 2018-11-30T12:39:27.000Z | 2018-11-30T12:39:27.000Z | src/Testing/ZopeTestCase/testBaseTestCase.py | dek4nice/Zope | ec4765fc0007c4e78aafcbeef510077444f8551a | [
"ZPL-2.1"
] | null | null | null | src/Testing/ZopeTestCase/testBaseTestCase.py | dek4nice/Zope | ec4765fc0007c4e78aafcbeef510077444f8551a | [
"ZPL-2.1"
] | 1 | 2018-11-30T12:39:34.000Z | 2018-11-30T12:39:34.000Z | ##############################################################################
#
# Copyright (c) 2005 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS I... | 30.381663 | 78 | 0.620605 |
4a0101542bbb8664c38e58e93c45789ef70af82c | 8,048 | py | Python | sdk/python/pulumi_azure_nextgen/storagepool/v20200315preview/get_disk_pool.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/storagepool/v20200315preview/get_disk_pool.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/storagepool/v20200315preview/get_disk_pool.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 36.089686 | 234 | 0.643141 |
4a0101be93bb230faa996574c6c56de034575603 | 7,071 | py | Python | code/model.py | Run542968/Self_Attention_Pytorch | 35b5c520904c709f35a9d3e44c0cdba92a35d10b | [
"Apache-2.0"
] | null | null | null | code/model.py | Run542968/Self_Attention_Pytorch | 35b5c520904c709f35a9d3e44c0cdba92a35d10b | [
"Apache-2.0"
] | null | null | null | code/model.py | Run542968/Self_Attention_Pytorch | 35b5c520904c709f35a9d3e44c0cdba92a35d10b | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import numpy as np
class SelfBiLSTMAttention(nn.Module):
def __init__(self,embedding_dim,lstm_hide_dim,max_time_len,batch_size,da,r,class_num,word2id,use_pre_embeddings=False,pre_embeddings_path=None):
... | 43.115854 | 167 | 0.652949 |
4a010229eb52d5d2f95527995a27c711d2df0eb5 | 196 | py | Python | Codeforces/contest636#d3/A.py | shivammehta007/Fun-Coding | 1ecfd682b336f5f9bc50364375de7d4c67714cbd | [
"Vim",
"Fair",
"MIT"
] | null | null | null | Codeforces/contest636#d3/A.py | shivammehta007/Fun-Coding | 1ecfd682b336f5f9bc50364375de7d4c67714cbd | [
"Vim",
"Fair",
"MIT"
] | null | null | null | Codeforces/contest636#d3/A.py | shivammehta007/Fun-Coding | 1ecfd682b336f5f9bc50364375de7d4c67714cbd | [
"Vim",
"Fair",
"MIT"
] | null | null | null | t = int(input())
while t:
n = int(input())
k = 2
while True:
x = n / (2**k - 1)
if int(x) == x:
print(int(x))
break
k += 1
t -= 1
| 14 | 26 | 0.331633 |
4a0102650003e8cfba1730dab29068b5c08148bf | 15,080 | py | Python | simple_romp/romp/smpl.py | jjandnn/ROMP | 653a0c9de13c7e242bc304147ae6559d1c6ff283 | [
"MIT"
] | null | null | null | simple_romp/romp/smpl.py | jjandnn/ROMP | 653a0c9de13c7e242bc304147ae6559d1c6ff283 | [
"MIT"
] | null | null | null | simple_romp/romp/smpl.py | jjandnn/ROMP | 653a0c9de13c7e242bc304147ae6559d1c6ff283 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import os,sys
import os.path as osp
import pickle
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
#from .utils import time_cost
class VertexJointSelector(nn.Module):
... | 40.537634 | 143 | 0.628979 |
4a01035e5eb007f9b50ca0aedae1e22efe9304df | 3,115 | py | Python | code/auto_download/auto-download-ucla.py | Stochastik-TU-Ilmenau/covid19-forecast-hub-de | 384d9ed2d84e9733f630973fb1a43b079f2b57a1 | [
"MIT"
] | 31 | 2020-05-20T15:38:57.000Z | 2022-02-13T01:31:33.000Z | code/auto_download/auto-download-ucla.py | Stochastik-TU-Ilmenau/covid19-forecast-hub-de | 384d9ed2d84e9733f630973fb1a43b079f2b57a1 | [
"MIT"
] | 777 | 2020-05-18T14:55:53.000Z | 2022-03-29T20:43:17.000Z | code/auto_download/auto-download-ucla.py | Stochastik-TU-Ilmenau/covid19-forecast-hub-de | 384d9ed2d84e9733f630973fb1a43b079f2b57a1 | [
"MIT"
] | 65 | 2020-05-20T07:42:36.000Z | 2021-11-20T21:25:23.000Z | # Auto-download forecasts of UCLA-Team
# Jakob Ketterer, November 2020
import os
import urllib.request
from datetime import datetime, timedelta
if __name__ == "__main__":
############ logic to determine which files shall be downloaded
# search date of most current prediction
data_raw_dir = "./data-raw/U... | 38.45679 | 119 | 0.668058 |
4a01037c39a0f35eceb6456a8be604c283ed5f75 | 8,108 | py | Python | twopi_flask_utils/testing/__init__.py | TwoPiCode/twopi-flask-utils | fd6ae7077060661f743873f72059a14687fa0c5e | [
"MIT"
] | 4 | 2016-08-11T01:18:39.000Z | 2022-03-12T00:28:22.000Z | twopi_flask_utils/testing/__init__.py | TwoPiCode/twopi-flask-utils | fd6ae7077060661f743873f72059a14687fa0c5e | [
"MIT"
] | 4 | 2016-10-13T23:34:51.000Z | 2019-10-08T01:43:22.000Z | twopi_flask_utils/testing/__init__.py | TwoPiCode/twopi-flask-utils | fd6ae7077060661f743873f72059a14687fa0c5e | [
"MIT"
] | 2 | 2016-09-15T11:17:32.000Z | 2017-06-15T09:21:24.000Z | import json
class AppReqTestHelper(object):
"""
Adds convenience request methods on the testcase object.
Assumes a flask app client is defined on ``self.client``
"""
def _req(self, meth, *args, **kwargs):
if kwargs.get('content_type') is None and meth != 'get':
kwargs['content_... | 38.980769 | 99 | 0.536877 |
4a0103eacaa9bcd7839172a5be7d4dbbbd41b29c | 653 | py | Python | python/Guazina/ex109/__init__.py | FaunoGuazina/X_very_old_algorithm_exercises | c9b9ec78e8b82f2e23ef85ba9a5e7fd6e0deaea6 | [
"MIT"
] | null | null | null | python/Guazina/ex109/__init__.py | FaunoGuazina/X_very_old_algorithm_exercises | c9b9ec78e8b82f2e23ef85ba9a5e7fd6e0deaea6 | [
"MIT"
] | null | null | null | python/Guazina/ex109/__init__.py | FaunoGuazina/X_very_old_algorithm_exercises | c9b9ec78e8b82f2e23ef85ba9a5e7fd6e0deaea6 | [
"MIT"
] | null | null | null | from Guazina import ex108, ex107
def METADE(x, exibir=False):
metade = ex107.moedaMETADE(x)
if exibir:
return ex108.formaEURO(metade)
else:
return metade
def DOBRO(x, exibir=False):
dobro = ex107.moedaDOBRO(x)
if exibir:
return ex108.formaEURO(dobro)
else:
retur... | 19.787879 | 39 | 0.630934 |
4a010402ecb357d296a574c2c89a93ec116051ad | 5,189 | py | Python | mhcflurry/predict_command.py | juvejones/mhcflurry_pan | 08b6fd3116230f954db37a1917e70107f1ffe9d9 | [
"Apache-2.0"
] | 1 | 2020-08-06T06:53:46.000Z | 2020-08-06T06:53:46.000Z | mhcflurry/predict_command.py | juvejones/mhcflurry_pan | 08b6fd3116230f954db37a1917e70107f1ffe9d9 | [
"Apache-2.0"
] | null | null | null | mhcflurry/predict_command.py | juvejones/mhcflurry_pan | 08b6fd3116230f954db37a1917e70107f1ffe9d9 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016. Mount Sinai School of Medicine
#
# 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 o... | 32.43125 | 78 | 0.66429 |
4a01062b5f3905951dee211a14fbab089df07dc4 | 1,340 | py | Python | RecoTauTag/TauTagTools/python/TauTruthProduction_cfi.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 3 | 2018-08-24T19:10:26.000Z | 2019-02-19T11:45:32.000Z | RecoTauTag/TauTagTools/python/TauTruthProduction_cfi.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 3 | 2018-08-23T13:40:24.000Z | 2019-12-05T21:16:03.000Z | RecoTauTag/TauTagTools/python/TauTruthProduction_cfi.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 5 | 2018-08-21T16:37:52.000Z | 2020-01-09T13:33:17.000Z | import FWCore.ParameterSet.Config as cms
from PhysicsTools.JetMCAlgos.TauGenJets_cfi import tauGenJets
from PhysicsTools.HepMCCandAlgos.genParticles_cfi import genParticles
from RecoJets.JetProducers.ak4GenJets_cfi import ak4GenJets
from RecoJets.Configuration.GenJetParticles_cff import genParticlesForJets
trueHadron... | 29.777778 | 74 | 0.728358 |
4a0106b403f8bbe977bf0354d22cf1136f9d64f6 | 1,245 | py | Python | student_core/consumers.py | michaelchen-lab/LMS_Backend | f8727398c66b94926e625ebd194e8330481727eb | [
"MIT"
] | null | null | null | student_core/consumers.py | michaelchen-lab/LMS_Backend | f8727398c66b94926e625ebd194e8330481727eb | [
"MIT"
] | null | null | null | student_core/consumers.py | michaelchen-lab/LMS_Backend | f8727398c66b94926e625ebd194e8330481727eb | [
"MIT"
] | null | null | null | import json
from asgiref.sync import async_to_sync
from channels.generic.websocket import AsyncWebsocketConsumer
from channels.db import database_sync_to_async
class StudentConsumer(AsyncWebsocketConsumer):
async def connect(self):
self.user = self.scope['user']
if self.user.user_type != 1:
... | 28.295455 | 61 | 0.629719 |
4a01076d0d61016f95e93354c1de2473952b70f2 | 4,252 | py | Python | openshift/test/test_v1_local_subject_access_review.py | flaper87/openshift-restclient-python | 13d5d86ca89035b9f596032e7a34f3cc33bf8f18 | [
"Apache-2.0"
] | null | null | null | openshift/test/test_v1_local_subject_access_review.py | flaper87/openshift-restclient-python | 13d5d86ca89035b9f596032e7a34f3cc33bf8f18 | [
"Apache-2.0"
] | null | null | null | openshift/test/test_v1_local_subject_access_review.py | flaper87/openshift-restclient-python | 13d5d86ca89035b9f596032e7a34f3cc33bf8f18 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
OpenShift API (with Kubernetes)
OpenShift provides builds, application lifecycle, image content management, and administrative policy on top of Kubernetes. The API allows consistent management of those objects. All API operations are authenticated via an Authorization bearer token that is... | 98.883721 | 3,380 | 0.793274 |
4a0107ac02c8363e4608f6178fbf89cc1b337304 | 344 | py | Python | django/core/management/commands/sql.py | rawwell/django | 6b3264671ead4604f26cbd2b71e8d6a02945bf0c | [
"BSD-3-Clause"
] | 1 | 2016-05-08T12:24:22.000Z | 2016-05-08T12:24:22.000Z | django/core/management/commands/sql.py | rawwell/django | 6b3264671ead4604f26cbd2b71e8d6a02945bf0c | [
"BSD-3-Clause"
] | null | null | null | django/core/management/commands/sql.py | rawwell/django | 6b3264671ead4604f26cbd2b71e8d6a02945bf0c | [
"BSD-3-Clause"
] | 1 | 2015-11-19T14:45:16.000Z | 2015-11-19T14:45:16.000Z | from django.core.management.base import AppCommand
class Command(AppCommand):
help = "Prints the CREATE TABLE SQL statements for the given app name(s)."
output_transaction = True
def handle_app(self, app, **options):
from django.core.management.sql import sql_create
return '\n'.join(sql_c... | 31.272727 | 78 | 0.718023 |
4a010949b409025eb0d91dab893929f60ea27c9b | 387 | py | Python | telly/wsgi.py | el-Joft/telly | 0c97471e46ee491bd1f6019250ce7a3f21de67af | [
"MIT"
] | null | null | null | telly/wsgi.py | el-Joft/telly | 0c97471e46ee491bd1f6019250ce7a3f21de67af | [
"MIT"
] | null | null | null | telly/wsgi.py | el-Joft/telly | 0c97471e46ee491bd1f6019250ce7a3f21de67af | [
"MIT"
] | null | null | null | """
WSGI config for telly 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/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTING... | 22.764706 | 78 | 0.782946 |
4a0109dc35081817faa810b2ee473aabf742daf6 | 42,352 | py | Python | src/networks/net_places365.py | sklcg/SHLight | 6ac575055070fb83b9deb74e4ccb03d47a547883 | [
"MIT"
] | 13 | 2018-10-10T06:17:54.000Z | 2022-01-06T02:34:50.000Z | src/networks/net_places365.py | sklcg/SHLight | 6ac575055070fb83b9deb74e4ccb03d47a547883 | [
"MIT"
] | 11 | 2018-11-21T06:44:00.000Z | 2021-08-08T04:22:31.000Z | src/networks/net_places365.py | sklcg/SHLight | 6ac575055070fb83b9deb74e4ccb03d47a547883 | [
"MIT"
] | 1 | 2019-03-05T11:42:57.000Z | 2019-03-05T11:42:57.000Z | import tensorflow as tf
import numpy as np
from .net_caffee2tf import C2T_Network
class PretrainNetwork(C2T_Network):
def __init__(self, inputs, weight = None, trainable=True):
if weight != None:
self.var = np.load(weight).tolist()
# for key in self.var.keys():
# pr... | 50.599761 | 116 | 0.56446 |
4a010a06c8f708bb02acca31f057c80f0784a529 | 1,625 | py | Python | Projekt Zaliczeniowy - Okienko/Kite.py | Paarzivall/Programowanie-obiektowe-2 | b658a659dbf039048173a63975de73c3b07c8b70 | [
"MIT"
] | null | null | null | Projekt Zaliczeniowy - Okienko/Kite.py | Paarzivall/Programowanie-obiektowe-2 | b658a659dbf039048173a63975de73c3b07c8b70 | [
"MIT"
] | null | null | null | Projekt Zaliczeniowy - Okienko/Kite.py | Paarzivall/Programowanie-obiektowe-2 | b658a659dbf039048173a63975de73c3b07c8b70 | [
"MIT"
] | null | null | null | import math
from ConvexQuadrilateral import ConvexQuadrilateral
class Kite(ConvexQuadrilateral):
def __init__(self, fill_colour, outline_colour):
super().__init__(fill_colour, outline_colour)
def take_parameters(self):
self.lenght_of_side_a = input("Podaj długość pierwszej krawędzi:\t")
... | 39.634146 | 162 | 0.626462 |
4a010a4d4d667a661064f57ddba3822f28a37c33 | 2,083 | py | Python | lib/model/faster_rcnn/vgg16.py | sumiya-NJU/da-faster-rcnn-PyTorch | 62a7286d8e40c6625f32de8d49039c7f623909bd | [
"MIT"
] | 122 | 2018-12-18T16:43:18.000Z | 2022-03-25T03:21:11.000Z | lib/model/faster_rcnn/vgg16.py | sumiya-NJU/da-faster-rcnn-PyTorch | 62a7286d8e40c6625f32de8d49039c7f623909bd | [
"MIT"
] | 34 | 2019-02-27T19:35:46.000Z | 2021-12-26T06:23:40.000Z | lib/model/faster_rcnn/vgg16.py | sumiya-NJU/da-faster-rcnn-PyTorch | 62a7286d8e40c6625f32de8d49039c7f623909bd | [
"MIT"
] | 44 | 2019-02-20T08:15:24.000Z | 2022-03-22T15:06:52.000Z | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future_... | 33.063492 | 90 | 0.663946 |
4a010a7da40dd479f996ae445397f3c9b0ccf487 | 4,854 | py | Python | test/SConsGnu/GVars/GVarDecls/sconstest-gvardecls2.py | ptomulik/scons-gnu-build | 9c46908eed50679d7aaaaf472e324c97545ac837 | [
"Unlicense"
] | null | null | null | test/SConsGnu/GVars/GVarDecls/sconstest-gvardecls2.py | ptomulik/scons-gnu-build | 9c46908eed50679d7aaaaf472e324c97545ac837 | [
"Unlicense"
] | 1 | 2015-02-13T04:30:45.000Z | 2015-02-13T04:30:45.000Z | test/SConsGnu/GVars/GVarDecls/sconstest-gvardecls2.py | ptomulik/scons-gnu-build | 9c46908eed50679d7aaaaf472e324c97545ac837 | [
"Unlicense"
] | null | null | null | #
# Copyright (c) 2012-2014 by Pawel Tomulik
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publ... | 43.72973 | 90 | 0.600124 |
4a010ab8260eb832c5e67bf369eb87cd4c4f8ebe | 7,709 | py | Python | alex/corpustools/vctk2ufal-audio.py | cifkao/alex | 9573ef5d24919b2b368b35f4dd02aa98f35f0f59 | [
"Apache-2.0"
] | 184 | 2015-02-11T04:14:41.000Z | 2022-03-24T21:43:58.000Z | alex/corpustools/vctk2ufal-audio.py | cifkao/alex | 9573ef5d24919b2b368b35f4dd02aa98f35f0f59 | [
"Apache-2.0"
] | 69 | 2015-01-11T04:57:22.000Z | 2019-04-24T10:25:56.000Z | alex/corpustools/vctk2ufal-audio.py | cifkao/alex | 9573ef5d24919b2b368b35f4dd02aa98f35f0f59 | [
"Apache-2.0"
] | 61 | 2015-03-04T10:52:13.000Z | 2022-03-04T12:14:06.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
# This code is mostly PEP8-compliant. See
# http://www.python.org/dev/peps/pep-0008.
"""
This program processes a VoxForge corpus and copies all WAVs into
a destination directory along with their transcriptions.
In each subdirectory of the given directory, it looks for a... | 34.110619 | 147 | 0.605785 |
4a010b6775d25f4ead28daed37450bd3214b7fb9 | 8,347 | py | Python | tests/unit/python/foglamp/common/test_statistics.py | ashwinscale/FogLAMP | dac6f286d31978b6ce00303df8398ea5b2031d79 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/common/test_statistics.py | ashwinscale/FogLAMP | dac6f286d31978b6ce00303df8398ea5b2031d79 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/common/test_statistics.py | ashwinscale/FogLAMP | dac6f286d31978b6ce00303df8398ea5b2031d79 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# FOGLAMP_BEGIN
# See: http://foglamp.readthedocs.io/
# FOGLAMP_END
import asyncio
import json
from unittest.mock import MagicMock, patch
import pytest
from foglamp.common.statistics import Statistics, _logger
from foglamp.common.storage_client.storage_client import StorageClient
__author_... | 47.158192 | 112 | 0.661555 |
4a010ba74b79d37fe5e4f3cfa62eac911788054f | 8,048 | py | Python | orbitdbapi/asyncDB.py | phillmac/py-orbit-db-http-client-dev | 5f806572cf78feda7faa43ce9025415518183921 | [
"MIT"
] | 1 | 2019-06-24T08:35:41.000Z | 2019-06-24T08:35:41.000Z | orbitdbapi/asyncDB.py | phillmac/py-orbit-db-http-client-dev | 5f806572cf78feda7faa43ce9025415518183921 | [
"MIT"
] | null | null | null | orbitdbapi/asyncDB.py | phillmac/py-orbit-db-http-client-dev | 5f806572cf78feda7faa43ce9025415518183921 | [
"MIT"
] | 1 | 2019-06-24T08:38:51.000Z | 2019-06-24T08:38:51.000Z | import json
import logging
from collections.abc import Hashable, Iterable
from copy import deepcopy
from urllib.parse import quote as urlquote
from sseclient import SSEClient
class DB ():
def __init__(self, client, params, **kwargs):
self.__cache = {}
self.__client = client
self.__params ... | 33.67364 | 110 | 0.619657 |
4a010beb9643f85e85e8fadb26a41c1fba09518d | 2,194 | py | Python | tooz/drivers/zake.py | mail2nsrajesh/tooz | e6274bdd5b36f7b114e255c258659223ba921773 | [
"Apache-2.0"
] | null | null | null | tooz/drivers/zake.py | mail2nsrajesh/tooz | e6274bdd5b36f7b114e255c258659223ba921773 | [
"Apache-2.0"
] | null | null | null | tooz/drivers/zake.py | mail2nsrajesh/tooz | e6274bdd5b36f7b114e255c258659223ba921773 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013-2014 Mirantis Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.186441 | 79 | 0.726983 |
4a010c52874aa5d6f3b9031e884a03ed455fe9a8 | 1,604 | py | Python | SR_attack/data/base_dataset.py | Hwihuni/Deep-Model-Watermarking | 73ea2286ace0aac3d55f6056da38ea2bc38ed00d | [
"MIT"
] | 32 | 2021-03-29T08:34:31.000Z | 2022-03-13T07:41:42.000Z | SR_attack/data/base_dataset.py | Hwihuni/Deep-Model-Watermarking | 73ea2286ace0aac3d55f6056da38ea2bc38ed00d | [
"MIT"
] | 4 | 2021-09-29T12:13:34.000Z | 2022-03-29T03:41:33.000Z | SR_attack/data/base_dataset.py | Hwihuni/Deep-Model-Watermarking | 73ea2286ace0aac3d55f6056da38ea2bc38ed00d | [
"MIT"
] | 5 | 2021-06-21T08:01:29.000Z | 2022-01-27T05:42:45.000Z | import torch.utils.data as data
from PIL import Image
import torchvision.transforms as transforms
class BaseDataset(data.Dataset):
def __init__(self):
super(BaseDataset, self).__init__()
def name(self):
return 'BaseDataset'
# def initialize(self, opt):
# pass
def get_transform(op... | 34.869565 | 69 | 0.658354 |
4a010c5bc4d794027666014e28dc152cfe213361 | 2,114 | py | Python | memote/experimental/tabular.py | matthiaskoenig/memote | 7c14cd304523dda83eaf4835ee007243e8673f85 | [
"Apache-2.0"
] | null | null | null | memote/experimental/tabular.py | matthiaskoenig/memote | 7c14cd304523dda83eaf4835ee007243e8673f85 | [
"Apache-2.0"
] | null | null | null | memote/experimental/tabular.py | matthiaskoenig/memote | 7c14cd304523dda83eaf4835ee007243e8673f85 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2017 Novo Nordisk Foundation Center for Biosustainability,
# Technical University of Denmark.
#
# 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... | 34.655738 | 94 | 0.690634 |
4a010d5eb9728f306b5bd98d5980124ddda29790 | 3,728 | py | Python | staramr/blast/results/BlastHitPartitions.py | JeffreyThiessen/staramr | 8550f231b7dc528b91a2c3665a5f99f0fa3d350b | [
"Apache-2.0"
] | 53 | 2018-03-14T01:22:40.000Z | 2022-03-24T17:09:02.000Z | staramr/blast/results/BlastHitPartitions.py | JeffreyThiessen/staramr | 8550f231b7dc528b91a2c3665a5f99f0fa3d350b | [
"Apache-2.0"
] | 114 | 2018-05-02T18:49:13.000Z | 2022-03-21T16:27:34.000Z | staramr/blast/results/BlastHitPartitions.py | JeffreyThiessen/staramr | 8550f231b7dc528b91a2c3665a5f99f0fa3d350b | [
"Apache-2.0"
] | 13 | 2018-11-14T20:12:35.000Z | 2022-03-03T04:06:51.000Z | import logging
from collections import OrderedDict
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
logger = logging.getLogger('BlastHits')
from staramr.blast.results.AMRHitHSP import AMRHitHSP
from staramr.exceptions.InvalidPositionException ... | 36.194175 | 143 | 0.643777 |
4a010ee84039cefdd597f90a1344ae71f039b46e | 5,293 | py | Python | src/domain_park/cli.py | nhairs/domain-park | b43f61e4f4cb1c5f69676e7297174e4c2ca184e0 | [
"MIT"
] | 3 | 2020-04-13T07:19:44.000Z | 2021-03-16T10:27:54.000Z | src/domain_park/cli.py | nhairs/domain-park | b43f61e4f4cb1c5f69676e7297174e4c2ca184e0 | [
"MIT"
] | null | null | null | src/domain_park/cli.py | nhairs/domain-park | b43f61e4f4cb1c5f69676e7297174e4c2ca184e0 | [
"MIT"
] | 2 | 2020-04-13T08:24:47.000Z | 2021-01-20T07:24:49.000Z | ### IMPORTS
### ============================================================================
## Standard Library
import argparse
import logging
import sys
from typing import List
## Installed
import netifaces # type: ignore
import nserver
## Application
from . import _version
from .server import server as nserver_se... | 29.903955 | 292 | 0.555451 |
4a010f015009c64ec6ffe7b5ef0b8d8a5fb3a367 | 17,638 | py | Python | im_caption_full.py | ukyh/unsupervised_captioning_fast | 97e50c871a71c3133962b2a4d3822bf186ca9310 | [
"MIT"
] | 229 | 2019-03-08T12:55:45.000Z | 2022-03-30T06:37:37.000Z | im_caption_full.py | ukyh/unsupervised_captioning_fast | 97e50c871a71c3133962b2a4d3822bf186ca9310 | [
"MIT"
] | 38 | 2019-04-08T08:50:17.000Z | 2021-11-04T07:53:10.000Z | im_caption_full.py | ukyh/unsupervised_captioning_fast | 97e50c871a71c3133962b2a4d3822bf186ca9310 | [
"MIT"
] | 57 | 2019-03-14T11:14:04.000Z | 2022-01-16T17:17:14.000Z | """Train the full model.
python im_caption_full.py --multi_gpu --batch_size 512 --save_checkpoint_steps\
1000 --gen_lr 0.001 --dis_lr 0.001
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import os
import sys
import numpy as np
impo... | 37.368644 | 95 | 0.719753 |
4a010f855699e817012c4878f2ddbab0d3ba09ae | 1,063 | py | Python | tkaligner/load_paras.py | ffreemt/tkaligner-bumblebee | ccc218c525508c13a16bd4e40fa039cf234bebf1 | [
"MIT"
] | null | null | null | tkaligner/load_paras.py | ffreemt/tkaligner-bumblebee | ccc218c525508c13a16bd4e40fa039cf234bebf1 | [
"MIT"
] | null | null | null | tkaligner/load_paras.py | ffreemt/tkaligner-bumblebee | ccc218c525508c13a16bd4e40fa039cf234bebf1 | [
"MIT"
] | null | null | null | """
load_paras
"""
import os
from typing import List
from pathlib import Path
import chardet
import logzero
from logzero import logger
_ = os.environ.get("ALIGNER_DEBUG")
if _ is not None and (_ == "1" or _.lower() == "true"):
logzero.loglevel(10)
else:
logzero.loglevel(20)
def load_paras(filepath: str) ->... | 24.72093 | 78 | 0.593603 |
4a010fb9cf01590333e8cfc98273b4543440e7c9 | 11,739 | py | Python | lib/errors.py | apyrgio/snf-ganeti | c59bb92f5bf4a98d90b4f10fb509a5a2f11c65b7 | [
"BSD-2-Clause"
] | null | null | null | lib/errors.py | apyrgio/snf-ganeti | c59bb92f5bf4a98d90b4f10fb509a5a2f11c65b7 | [
"BSD-2-Clause"
] | null | null | null | lib/errors.py | apyrgio/snf-ganeti | c59bb92f5bf4a98d90b4f10fb509a5a2f11c65b7 | [
"BSD-2-Clause"
] | null | null | null | #
#
# Copyright (C) 2006, 2007, 2008, 2009, 2010, 2011, 2012 Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright no... | 22.972603 | 79 | 0.734304 |
4a0110adfe7a58493c093f09254a0da46d4710b4 | 14,203 | py | Python | pymc3/tests/test_examples.py | AmitKus/pymc3 | 5e305543a13d248cb8cd67522527c586bde45165 | [
"Apache-2.0"
] | null | null | null | pymc3/tests/test_examples.py | AmitKus/pymc3 | 5e305543a13d248cb8cd67522527c586bde45165 | [
"Apache-2.0"
] | null | null | null | pymc3/tests/test_examples.py | AmitKus/pymc3 | 5e305543a13d248cb8cd67522527c586bde45165 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 37.773936 | 100 | 0.588256 |
4a0110d516daaadeace250c442554779e91bce79 | 2,616 | py | Python | src/poetry/console/commands/export.py | mmacchia/poetry | 7c53db9680d021bac99cc366a3bbc88ebbffdf0f | [
"MIT"
] | null | null | null | src/poetry/console/commands/export.py | mmacchia/poetry | 7c53db9680d021bac99cc366a3bbc88ebbffdf0f | [
"MIT"
] | null | null | null | src/poetry/console/commands/export.py | mmacchia/poetry | 7c53db9680d021bac99cc366a3bbc88ebbffdf0f | [
"MIT"
] | null | null | null | from cleo.helpers import option
from poetry.console.commands.command import Command
from poetry.utils.exporter import Exporter
class ExportCommand(Command):
name = "export"
description = "Exports the lock file to alternative formats."
options = [
option(
"format",
"f",
... | 32.7 | 88 | 0.545107 |
4a011196b92592cacd22c30b35c863cae0dc7f74 | 2,912 | py | Python | djangopypi2/apps/pypi_frontend/distutils_request.py | peopledoc/djangopypi2 | 1356963cd103947058b951476ba8c32d108f19f6 | [
"BSD-3-Clause"
] | null | null | null | djangopypi2/apps/pypi_frontend/distutils_request.py | peopledoc/djangopypi2 | 1356963cd103947058b951476ba8c32d108f19f6 | [
"BSD-3-Clause"
] | null | null | null | djangopypi2/apps/pypi_frontend/distutils_request.py | peopledoc/djangopypi2 | 1356963cd103947058b951476ba8c32d108f19f6 | [
"BSD-3-Clause"
] | null | null | null | from logging import getLogger
from django.http import QueryDict
from django.http import HttpResponseNotAllowed
from django.utils.datastructures import MultiValueDict
from django.core.files.uploadedfile import TemporaryUploadedFile
from .distutils_views import ACTION_VIEWS
log = getLogger(__name__)
def _get_distutils_... | 32.355556 | 80 | 0.607143 |
4a0111b8569ae9ff67260686003fd5d1f5387fa9 | 16,753 | py | Python | haystack/nodes/preprocessor/preprocessor.py | ArzelaAscoIi/haystack | be8f50c9e3de4e264b3f345f5f4b9c9ec518ed08 | [
"Apache-2.0"
] | 1 | 2022-03-06T02:13:15.000Z | 2022-03-06T02:13:15.000Z | haystack/nodes/preprocessor/preprocessor.py | ArzelaAscoIi/haystack | be8f50c9e3de4e264b3f345f5f4b9c9ec518ed08 | [
"Apache-2.0"
] | null | null | null | haystack/nodes/preprocessor/preprocessor.py | ArzelaAscoIi/haystack | be8f50c9e3de4e264b3f345f5f4b9c9ec518ed08 | [
"Apache-2.0"
] | 1 | 2022-03-23T18:17:02.000Z | 2022-03-23T18:17:02.000Z | import logging
import re
from copy import deepcopy
from functools import partial, reduce
from itertools import chain
from typing import List, Optional, Generator, Set, Union
import nltk
from more_itertools import windowed
from tqdm import tqdm
from haystack.nodes.preprocessor import BasePreProcessor
logger = loggin... | 42.092965 | 150 | 0.60222 |
4a0111ce8fff959e5cae7362962697af3915df96 | 22,269 | py | Python | robotframework-ls/src/robotframework_ls/server_manager.py | DetachHead/robotframework-lsp | a82438f45b75f3afbe3f80a970b75ed9065f96a7 | [
"ECL-2.0",
"Apache-2.0"
] | 92 | 2020-01-22T22:15:29.000Z | 2022-03-31T05:19:16.000Z | robotframework-ls/src/robotframework_ls/server_manager.py | DetachHead/robotframework-lsp | a82438f45b75f3afbe3f80a970b75ed9065f96a7 | [
"ECL-2.0",
"Apache-2.0"
] | 604 | 2020-01-25T17:13:27.000Z | 2022-03-31T18:58:24.000Z | robotframework-ls/src/robotframework_ls/server_manager.py | DetachHead/robotframework-lsp | a82438f45b75f3afbe3f80a970b75ed9065f96a7 | [
"ECL-2.0",
"Apache-2.0"
] | 39 | 2020-02-06T00:38:06.000Z | 2022-03-15T06:14:19.000Z | from robocorp_ls_core.pluginmanager import PluginManager
import threading
from robocorp_ls_core.basic import (
log_and_silence_errors,
kill_process_and_subprocesses,
is_process_alive,
)
import sys
import weakref
import os
from robocorp_ls_core.robotframework_log import get_logger
from typing import Any, Dic... | 37.115 | 133 | 0.598186 |
4a0111ecea21482cdf6d08e1dd80bf881fd61b2e | 792 | py | Python | MeClass8/my_devices.py | carrascodc/pyneta | 857c0279d6c567d8855fedde2883603d7c70b50b | [
"Apache-2.0"
] | null | null | null | MeClass8/my_devices.py | carrascodc/pyneta | 857c0279d6c567d8855fedde2883603d7c70b50b | [
"Apache-2.0"
] | null | null | null | MeClass8/my_devices.py | carrascodc/pyneta | 857c0279d6c567d8855fedde2883603d7c70b50b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from getpass import getpass
from pprint import pprint
from napalm import get_network_driver
# Supress SSL Certificate Warnings
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
username = 'p... | 21.405405 | 71 | 0.739899 |
4a01123db38b57de73bd800a3e451bf559a5da50 | 14,203 | py | Python | autoreject/tests/test_autoreject.py | rob-luke/autoreject | b73847949db64740680e3d325b824ed9aa05a8cc | [
"BSD-3-Clause"
] | null | null | null | autoreject/tests/test_autoreject.py | rob-luke/autoreject | b73847949db64740680e3d325b824ed9aa05a8cc | [
"BSD-3-Clause"
] | null | null | null | autoreject/tests/test_autoreject.py | rob-luke/autoreject | b73847949db64740680e3d325b824ed9aa05a8cc | [
"BSD-3-Clause"
] | null | null | null | """Test autoreject."""
# Author: Mainak Jas <mainak.jas@telecom-paristech.fr>
# Denis A. Engemann <denis.engemann@gmail.com>
# Stefan Appelhoff <stefan.appelhoff@mailbox.org>
#
# License: BSD (3-clause)
import os.path as op
import pickle
import platform
import os
import numpy as np
from numpy.testing ... | 40.349432 | 79 | 0.643737 |
4a0113f5db097f501252b9c95d4ce5449ac20f00 | 250 | py | Python | flask_firebase_admin/__init__.py | andrewrosss/flask-firebase-admin | c131f48fd8a2d20b9f26602d7d0a15dc7bc4f1ae | [
"MIT"
] | 21 | 2020-10-22T08:48:33.000Z | 2022-03-23T01:33:24.000Z | flask_firebase_admin/__init__.py | andrewrosss/flask-firebase-admin | c131f48fd8a2d20b9f26602d7d0a15dc7bc4f1ae | [
"MIT"
] | 6 | 2021-03-11T18:10:28.000Z | 2021-09-10T01:00:24.000Z | flask_firebase_admin/__init__.py | andrewrosss/flask-firebase-admin | c131f48fd8a2d20b9f26602d7d0a15dc7bc4f1ae | [
"MIT"
] | 3 | 2021-03-03T11:58:45.000Z | 2021-05-16T19:00:44.000Z | from . import flask_firebase_admin
from . import status_codes
from .__version__ import __version__
from .flask_firebase_admin import FirebaseAdmin
__all__ = (
"flask_firebase_admin",
"status_codes",
"__version__",
"FirebaseAdmin",
)
| 20.833333 | 47 | 0.76 |
4a0114228706b4a8cd29ed5bae820fac13ff542c | 13,442 | py | Python | tests/conftest.py | allisonmorgan/Dallinger | f171e28c352854a3c6ed6b21f25362cd933b17dc | [
"MIT"
] | 1 | 2019-08-01T16:15:44.000Z | 2019-08-01T16:15:44.000Z | tests/conftest.py | allisonmorgan/Dallinger | f171e28c352854a3c6ed6b21f25362cd933b17dc | [
"MIT"
] | null | null | null | tests/conftest.py | allisonmorgan/Dallinger | f171e28c352854a3c6ed6b21f25362cd933b17dc | [
"MIT"
] | null | null | null | import mock
import os
import pytest
import shutil
import sys
import tempfile
from dallinger import information
from dallinger import models
from dallinger import networks
from dallinger import nodes
@pytest.fixture(scope="session", autouse=True)
def subprocess_coverage():
# Set env var to trigger starting coverag... | 29.47807 | 88 | 0.610549 |
4a0115d19fb03054d244e10d15438f513856654f | 129 | py | Python | contractpy/__init__.py | KumarManoj-S/pycontract | 5682741af0f98ac40819bd7c6ff7b48d0e9abf6b | [
"MIT"
] | 8 | 2020-03-23T12:50:08.000Z | 2021-04-05T02:27:34.000Z | contractpy/__init__.py | KumarManoj-S/pycontract | 5682741af0f98ac40819bd7c6ff7b48d0e9abf6b | [
"MIT"
] | 1 | 2020-07-26T16:20:37.000Z | 2020-07-27T06:19:33.000Z | contractpy/__init__.py | KumarManoj-S/pycontract | 5682741af0f98ac40819bd7c6ff7b48d0e9abf6b | [
"MIT"
] | 2 | 2020-03-24T15:39:20.000Z | 2020-07-26T16:49:34.000Z | from contractpy.main.contract import Contract
from contractpy.main.types import Types
__all__ = [
'Contract',
'Types'
]
| 16.125 | 45 | 0.728682 |
4a01166282e1786694d14980e2c4ee5a623349e3 | 224 | py | Python | Inicio/001.py | daisyaragao/Python | 9f31a6e8b423747d1c7392e4e8f481866987dbca | [
"MIT"
] | null | null | null | Inicio/001.py | daisyaragao/Python | 9f31a6e8b423747d1c7392e4e8f481866987dbca | [
"MIT"
] | null | null | null | Inicio/001.py | daisyaragao/Python | 9f31a6e8b423747d1c7392e4e8f481866987dbca | [
"MIT"
] | null | null | null | # Faça um programa que leia um número inteiro e mostre na tela o seu antecessor e o seu sucessor
n = int(input('Digite um número: '))
print('O seu antecessor é: {} '.format(n-1))
print('O seu sucessor é: {} '.format(n+1))
| 32 | 96 | 0.683036 |
4a011718872fdc3c805b4edc118f9b4d0d5a816d | 8,633 | py | Python | jina/parsers/__init__.py | qwe123coder/jina | 43215cd044c47d6b02111cd249499737d5d0a4e3 | [
"Apache-2.0"
] | 1 | 2021-09-16T03:54:34.000Z | 2021-09-16T03:54:34.000Z | jina/parsers/__init__.py | AnudeepGunukula/jina | a4183a3b57d194c6f4b92ec48b485ebedd37b88d | [
"Apache-2.0"
] | null | null | null | jina/parsers/__init__.py | AnudeepGunukula/jina | a4183a3b57d194c6f4b92ec48b485ebedd37b88d | [
"Apache-2.0"
] | null | null | null | import argparse
from jina.parsers.client import mixin_comm_protocol_parser
from .helper import _SHOW_ALL_ARGS
from .peapods.pod import mixin_k8s_pod_parser
def set_pea_parser(parser=None):
"""Set the parser for the Pea
:param parser: an optional existing parser to build upon
:return: the parser
"""
... | 28.029221 | 105 | 0.645778 |
4a0117c1de86897104eeb0f1bfebed27df899a5c | 14,434 | py | Python | src/werkzeug/middleware/lint.py | omerholz/werkzeug | 5f3994f155055ed8b4231df8ac41dd38849d90f8 | [
"BSD-3-Clause"
] | null | null | null | src/werkzeug/middleware/lint.py | omerholz/werkzeug | 5f3994f155055ed8b4231df8ac41dd38849d90f8 | [
"BSD-3-Clause"
] | null | null | null | src/werkzeug/middleware/lint.py | omerholz/werkzeug | 5f3994f155055ed8b4231df8ac41dd38849d90f8 | [
"BSD-3-Clause"
] | null | null | null | """
WSGI Protocol Linter
====================
This module provides a middleware that performs sanity checks on the
behavior of the WSGI server and application. It checks that the
:pep:`3333` WSGI spec is properly implemented. It also warns on some
common HTTP errors such as non-empty responses for 304 status codes.
.... | 33.412037 | 88 | 0.522793 |
4a011810b1aa15948bd07ab362906562c0540151 | 662 | py | Python | appfl/protos/utils.py | markxiao/APPFL | 2940f01695b84d8239368e5d1fc3133c7f7a05ae | [
"MIT"
] | null | null | null | appfl/protos/utils.py | markxiao/APPFL | 2940f01695b84d8239368e5d1fc3133c7f7a05ae | [
"MIT"
] | null | null | null | appfl/protos/utils.py | markxiao/APPFL | 2940f01695b84d8239368e5d1fc3133c7f7a05ae | [
"MIT"
] | null | null | null | import numpy as np
from .federated_learning_pb2 import DataBuffer
from .federated_learning_pb2 import TensorRecord
def construct_tensor_record(name, nparray):
return TensorRecord(name=name, data_shape=list(nparray.shape), data_bytes=nparray.tobytes(order='C'))
def proto_to_databuffer(proto, max_size=(2*1024*1024... | 36.777778 | 105 | 0.767372 |
4a011869967d951f9e254f91f4091a654b76ad82 | 3,225 | py | Python | proxy_osint_api/swagger_server/models/query_object.py | CoNik/EuROCE | 12435d47fe2dfcf7834b8fdd5f4f37a4df16037d | [
"Apache-2.0"
] | null | null | null | proxy_osint_api/swagger_server/models/query_object.py | CoNik/EuROCE | 12435d47fe2dfcf7834b8fdd5f4f37a4df16037d | [
"Apache-2.0"
] | 1 | 2020-07-20T11:07:50.000Z | 2020-07-20T11:07:50.000Z | proxy_osint_api/swagger_server/models/query_object.py | CoNik/EuROCE | 12435d47fe2dfcf7834b8fdd5f4f37a4df16037d | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server import util
class QueryObject(Model):
"""NOTE: This class is auto generated by the swagger... | 22.552448 | 100 | 0.549147 |
4a0119474d44ced4f83467f7f80b3ac44cc770be | 624 | py | Python | backend/api/migrations/0003_liftermodel_competition.py | ChristchurchCityWeightlifting/lifter-api | a82b79c75106e7f4f8ea4b4e3e12d727213445e3 | [
"MIT"
] | null | null | null | backend/api/migrations/0003_liftermodel_competition.py | ChristchurchCityWeightlifting/lifter-api | a82b79c75106e7f4f8ea4b4e3e12d727213445e3 | [
"MIT"
] | 5 | 2022-03-07T08:30:47.000Z | 2022-03-22T09:15:52.000Z | backend/api/migrations/0003_liftermodel_competition.py | ChristchurchCityWeightlifting/lifter-api | a82b79c75106e7f4f8ea4b4e3e12d727213445e3 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.3 on 2022-03-05 05:47
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("api", "0002_rename_event_name_competitionmodel_competition_name"),
]
operations = [
migrations.AddField(
... | 24.96 | 76 | 0.597756 |
4a0119fcd2d4d6ec3d49e57930f2c78ff5cfa341 | 5,417 | py | Python | src/data.py | mneedham/article-1 | 5523647c74fc6bb27a28e359dcf5ff3d9252a72f | [
"MIT"
] | 1 | 2021-12-10T18:34:40.000Z | 2021-12-10T18:34:40.000Z | src/data.py | mneedham/article-1 | 5523647c74fc6bb27a28e359dcf5ff3d9252a72f | [
"MIT"
] | null | null | null | src/data.py | mneedham/article-1 | 5523647c74fc6bb27a28e359dcf5ff3d9252a72f | [
"MIT"
] | null | null | null |
import tensorflow as tf
import numpy as np
import os.path
import random
import json
from neo4j.v1 import GraphDatabase, Driver
# After fighting with gcloud, I dumped this here. Ideally, package elsewhere
settings = {
"hosted": {
"neo4j_url": "bolt://b2355e7e.databases.neo4j.io",
"neo4j_user": "readonly",
"neo4... | 21.842742 | 99 | 0.606609 |
4a011a3d080ab0aa177d2fcfa0c65dd3c8384d4a | 346 | py | Python | remo/api/__init__.py | glogiotatidis/remo | 1c4f55c63c8d03cbee776b60af042b8068d9f297 | [
"BSD-3-Clause"
] | null | null | null | remo/api/__init__.py | glogiotatidis/remo | 1c4f55c63c8d03cbee776b60af042b8068d9f297 | [
"BSD-3-Clause"
] | null | null | null | remo/api/__init__.py | glogiotatidis/remo | 1c4f55c63c8d03cbee776b60af042b8068d9f297 | [
"BSD-3-Clause"
] | null | null | null | from tastypie.cache import NoCache
class HttpCache(NoCache):
"""Cache class that sets cache-control to response headers."""
def __init__(self, control={'no_cache': True}, *args, **kwargs):
super(HttpCache, self).__init__(*args, **kwargs)
self.control = control
def cache_control(self):
... | 26.615385 | 68 | 0.67341 |
4a011a41e3a864f9ed590e7f04c3ecd0d603541e | 2,074 | py | Python | commands/config.py | Robertoskb/Betozinho | 5b8e2413c66452bb50d358178f77b3bb17726079 | [
"MIT"
] | null | null | null | commands/config.py | Robertoskb/Betozinho | 5b8e2413c66452bb50d358178f77b3bb17726079 | [
"MIT"
] | null | null | null | commands/config.py | Robertoskb/Betozinho | 5b8e2413c66452bb50d358178f77b3bb17726079 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
from commands.utils.serversettings import ServerSettings
class Config(commands.Cog):
"""Configurações"""
def __init__(self, bot):
self.bot = bot
@commands.guild_only()
@commands.command(name='talks', help='Ativar ou Desativar minhas respostas', ... | 34.566667 | 105 | 0.635487 |
4a011a4bff8f0b56193d9207112c797d1214987f | 1,421 | py | Python | examples/plot_iris_comparison.py | balins/fuzzy-tree | 8dde93cdd32c2c3643ce459fdd5d29b8a0904714 | [
"BSD-3-Clause"
] | 6 | 2021-06-06T13:32:48.000Z | 2021-10-13T14:15:04.000Z | examples/plot_iris_comparison.py | balins/fuzzy-tree | 8dde93cdd32c2c3643ce459fdd5d29b8a0904714 | [
"BSD-3-Clause"
] | 1 | 2022-01-23T15:21:06.000Z | 2022-01-23T15:21:06.000Z | examples/plot_iris_comparison.py | balins/fuzzytree | 8dde93cdd32c2c3643ce459fdd5d29b8a0904714 | [
"BSD-3-Clause"
] | null | null | null | """
=========================================================
Comparison of crisp and fuzzy classifiers on iris dataset
=========================================================
A comparison plot for :class:`FuzzyDecisionTreeClassifier`
and sklearn's :class:`DecisionTreeClassifier` on iris
dataset (only two features w... | 31.577778 | 89 | 0.682618 |
4a011b72423b26c942c86af1d3e2f6e2dc58d347 | 1,515 | py | Python | layer/first_layer.py | socofels/neural_style_transfer | c4349f8266256cc9922df3d0837a1aa786f84712 | [
"MIT"
] | null | null | null | layer/first_layer.py | socofels/neural_style_transfer | c4349f8266256cc9922df3d0837a1aa786f84712 | [
"MIT"
] | null | null | null | layer/first_layer.py | socofels/neural_style_transfer | c4349f8266256cc9922df3d0837a1aa786f84712 | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow.keras.layers import Layer
from configs.config import CONFIG
class MyLayer(Layer):
def __init__(self,**kwargs):
# self.output_dim = output_dim
super(MyLayer, self).__init__(**kwargs)
def build(self, input_shape):
# 为该层创建一个可训练的权重
self.ke... | 32.934783 | 107 | 0.573597 |
4a011c4292b7abf596d1f060653be1252d5fc91e | 1,793 | py | Python | cheritest/trunk/tests/cp2/test_cp2_getincoffset.py | tupipa/beri | cef1b41d52592cfa7454ddf59f9f2994e447cd66 | [
"Apache-2.0"
] | 36 | 2015-05-29T16:47:19.000Z | 2022-02-08T21:16:26.000Z | cheritest/trunk/tests/cp2/test_cp2_getincoffset.py | tupipa/beri | cef1b41d52592cfa7454ddf59f9f2994e447cd66 | [
"Apache-2.0"
] | 1 | 2015-10-14T13:05:21.000Z | 2015-10-19T20:34:03.000Z | cheritest/trunk/tests/cp2/test_cp2_getincoffset.py | tupipa/beri | cef1b41d52592cfa7454ddf59f9f2994e447cd66 | [
"Apache-2.0"
] | 15 | 2015-06-11T07:10:58.000Z | 2021-06-18T05:14:54.000Z | #-
# Copyright (c) 2011 Robert N. M. Watson
# All rights reserved.
#
# This software was developed by SRI International and the University of
# Cambridge Computer Laboratory under DARPA/AFRL contract FA8750-10-C-0237
# ("CTSRD"), as part of the DARPA CRASH research programme.
#
# @BERI_LICENSE_HEADER_START@
#
# License... | 39.844444 | 106 | 0.761294 |
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