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2dc65ef71c67ff7a1776ce2907126d5e64a99ed0 | 8,255 | py | Python | sdk/reservations/azure-mgmt-reservations/azure/mgmt/reservations/models/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/reservations/azure-mgmt-reservations/azure/mgmt/reservations/models/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/reservations/azure-mgmt-reservations/azure/mgmt/reservations/models/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"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.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 36.526549 | 94 | 0.803271 |
2dc66fa16c0808e79d56337033fe4e7922ec5ce6 | 16,989 | py | Python | extensions/shapefile_converter.py | XIThing/esdl-mapeditor | 9f4cd4a58714ea67aeb532e88e88f0435a87dbd5 | [
"Apache-2.0"
] | null | null | null | extensions/shapefile_converter.py | XIThing/esdl-mapeditor | 9f4cd4a58714ea67aeb532e88e88f0435a87dbd5 | [
"Apache-2.0"
] | 14 | 2020-09-30T21:16:46.000Z | 2021-11-08T18:54:34.000Z | extensions/shapefile_converter.py | XIThing/esdl-mapeditor | 9f4cd4a58714ea67aeb532e88e88f0435a87dbd5 | [
"Apache-2.0"
] | 1 | 2020-09-17T12:48:57.000Z | 2020-09-17T12:48:57.000Z | # This work is based on original code developed and copyrighted by TNO 2020.
# Subsequent contributions are licensed to you by the developers of such code and are
# made available to the Project under one or several contributor license agreements.
#
# This work is licensed to you under the Apache License, Version 2... | 47.191667 | 446 | 0.577197 |
2dc688d06506d6cca738c5892df9e581af5b49f1 | 30,608 | py | Python | core/domain/user_jobs_continuous.py | yashdusing/oppia | c0218e13ba29f9bc25cc5ec6f7f13108ee4fdb9a | [
"Apache-2.0"
] | 3 | 2021-06-26T09:45:19.000Z | 2021-11-17T11:11:39.000Z | core/domain/user_jobs_continuous.py | import-keshav/oppia | 899b9755a6b795a8991e596055ac24065a8435e0 | [
"Apache-2.0"
] | 4 | 2019-08-15T10:49:21.000Z | 2022-03-02T05:10:20.000Z | core/domain/user_jobs_continuous.py | grishamjindal/oppia | 3a29329a446e30b3b70641cf0286e23fad85418f | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 The Oppia 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 applicable ... | 44.103746 | 127 | 0.625327 |
2dc6a3d7f61682dd3f8348ce11377b33cae1f975 | 1,578 | py | Python | server/benchmarks/context_strategies.py | vis-au/prointerest | 6200908d4ddeecaf05de859063d9eaaa7e63a6be | [
"Apache-2.0"
] | null | null | null | server/benchmarks/context_strategies.py | vis-au/prointerest | 6200908d4ddeecaf05de859063d9eaaa7e63a6be | [
"Apache-2.0"
] | null | null | null | server/benchmarks/context_strategies.py | vis-au/prointerest | 6200908d4ddeecaf05de859063d9eaaa7e63a6be | [
"Apache-2.0"
] | null | null | null | from typing import Callable, List, Tuple
from context_item_selection_strategy.no_context import *
from context_item_selection_strategy.chunk_based_context import *
from context_item_selection_strategy.sampling_based_context import *
from context_item_selection_strategy.clustering_based_context import *
from context_it... | 37.571429 | 132 | 0.770596 |
2dc6f22f94935b769ed1f45fd28db2005bfb32b8 | 6,629 | py | Python | azure/multiapi/storage/v2018_11_09/common/_connection.py | xolve/azure-multiapi-storage-python | 47509479427c879f18c554e451e838453d47c2bd | [
"MIT"
] | 3 | 2019-02-21T20:46:26.000Z | 2021-06-22T15:35:52.000Z | azure/multiapi/storage/v2018_11_09/common/_connection.py | xolve/azure-multiapi-storage-python | 47509479427c879f18c554e451e838453d47c2bd | [
"MIT"
] | 11 | 2017-10-05T18:20:40.000Z | 2020-10-10T09:20:19.000Z | azure/multiapi/storage/v2018_11_09/common/_connection.py | xolve/azure-multiapi-storage-python | 47509479427c879f18c554e451e838453d47c2bd | [
"MIT"
] | 15 | 2017-10-02T18:48:20.000Z | 2022-03-03T14:03:49.000Z | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import sys... | 40.919753 | 118 | 0.597375 |
2dc6f8d3d86b149465842051ce2b032fac0cb0b8 | 1,220 | py | Python | pymite/utils.py | damnit/pymite | 1e9b9bf6aef790af2d8781f9f77c098c54ca0342 | [
"MIT"
] | 4 | 2016-09-25T17:25:41.000Z | 2019-12-28T06:25:10.000Z | pymite/utils.py | damnit/pymite | 1e9b9bf6aef790af2d8781f9f77c098c54ca0342 | [
"MIT"
] | null | null | null | pymite/utils.py | damnit/pymite | 1e9b9bf6aef790af2d8781f9f77c098c54ca0342 | [
"MIT"
] | 2 | 2017-09-23T14:55:59.000Z | 2018-10-28T09:18:14.000Z | # -*- coding: utf-8 -*-
# File: utils.py
""" utils module. """
__author__ = 'Otto Hockel <hockel.otto@googlemail.com>'
__docformat__ = 'plaintext'
from functools import wraps
def declassify(to_remove, *args, **kwargs):
""" flatten the return values of the mite api.
"""
def argdecorate(fn):
"... | 25.416667 | 63 | 0.543443 |
2dc6fd9eea6e114b450947314872885754f5035d | 3,973 | py | Python | ProjectFolder/Code/perfEval.py | sebastianwindeck/DeepLearningProject | 7a0988c44a4923f83ec99f774fc98ad9a18b78df | [
"MIT"
] | 1 | 2019-06-15T14:54:27.000Z | 2019-06-15T14:54:27.000Z | ProjectFolder/Code/perfEval.py | sebastianwindeck/DeepLearningProject | 7a0988c44a4923f83ec99f774fc98ad9a18b78df | [
"MIT"
] | null | null | null | ProjectFolder/Code/perfEval.py | sebastianwindeck/DeepLearningProject | 7a0988c44a4923f83ec99f774fc98ad9a18b78df | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import matplotlib.cm as cm
import os
import pandas
import numpy as np
base_model_dir = '../../ProjectFolder/Basemodel_1_pitch/'
base_model_file = base_model_dir + 'initialtraining.log'
noise_model_dir = '../../ProjectFolder/Checkpoints/train2019-01-18-10-35-19/'
# load data on initial... | 37.130841 | 113 | 0.692424 |
2dc710b8afae32a82aa665b5777446d2b099df8a | 6,155 | py | Python | nion/data/test/ExtendedData_test.py | cmeyer/niondata | e9028a0487d5d5d394be625ec9b5d2ab6b2f226f | [
"Apache-2.0"
] | null | null | null | nion/data/test/ExtendedData_test.py | cmeyer/niondata | e9028a0487d5d5d394be625ec9b5d2ab6b2f226f | [
"Apache-2.0"
] | null | null | null | nion/data/test/ExtendedData_test.py | cmeyer/niondata | e9028a0487d5d5d394be625ec9b5d2ab6b2f226f | [
"Apache-2.0"
] | null | null | null | # standard libraries
import h5py
import logging
import os
import shutil
import unittest
# third party libraries
import numpy
# local libraries
from nion.data import Calibration
from nion.data import DataAndMetadata
def db_make_directory_if_needed(directory_path):
if os.path.exists(directory_path):
if no... | 43.964286 | 215 | 0.676523 |
2dc72f37c8c7af9234a21a87951349ab6b5002b1 | 1,947 | py | Python | ml/functions.py | leonoravesterbacka/carl-torch | 383ef84c449d654d783b4e8bdbb847ee8cbf24b9 | [
"MIT"
] | 8 | 2020-04-17T13:15:12.000Z | 2021-07-21T00:30:51.000Z | ml/functions.py | neko-0/carl-torch | 21aea15e26f469c2bbcd817756b827f30a2240b0 | [
"MIT"
] | 6 | 2020-10-27T14:04:33.000Z | 2022-03-12T00:47:50.000Z | ml/functions.py | neko-0/carl-torch | 21aea15e26f469c2bbcd817756b827f30a2240b0 | [
"MIT"
] | 4 | 2020-10-06T07:29:59.000Z | 2021-03-05T10:03:16.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
import six
import logging
import os
import torch
from torch.nn import functional as F
from torch import optim
from torch.nn import BCELoss, BCEWithLogitsLoss, MSELoss
from contextlib import contextmanager
logger = logging.getLogger(__... | 27.041667 | 93 | 0.645095 |
2dc73ac52591d78db32e1900b4d17667aa27987e | 6,056 | py | Python | frameit/frameattr.py | biggorilla-gh/frameit | 9cae56b4089fff6c955f8b86c699aa402a1390ac | [
"Apache-2.0"
] | 3 | 2018-12-29T01:10:37.000Z | 2020-06-12T09:45:11.000Z | frameit/frameattr.py | biggorilla-gh/frameit | 9cae56b4089fff6c955f8b86c699aa402a1390ac | [
"Apache-2.0"
] | null | null | null | frameit/frameattr.py | biggorilla-gh/frameit | 9cae56b4089fff6c955f8b86c699aa402a1390ac | [
"Apache-2.0"
] | null | null | null | import json
from spacy.lexeme import Lexeme
from spacy.tokens import Token
from frameit import Corpus
from frameit.models.nocontext_model import NoContextModel
from frameit.models.context_model import ContextModel
from frameit.models.lambda_rule_model import LambdaRuleModel
from frameit.models.rule_model import RuleMo... | 37.382716 | 90 | 0.567371 |
2dc74c8a77b23cfaebd6724d57e39f689a592171 | 5,279 | py | Python | tests/app/dao/test_service_inbound_api_dao.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | null | null | null | tests/app/dao/test_service_inbound_api_dao.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | 51 | 2019-07-03T14:11:19.000Z | 2019-07-08T12:24:55.000Z | tests/app/dao/test_service_inbound_api_dao.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | null | null | null | import uuid
import pytest
from sqlalchemy.exc import SQLAlchemyError
from app import signer
from app.dao.service_inbound_api_dao import (
get_service_inbound_api,
get_service_inbound_api_for_service,
reset_service_inbound_api,
save_service_inbound_api,
)
from app.models import ServiceInboundApi
from t... | 39.395522 | 108 | 0.74749 |
2dc76c123455fd8b1eba7842b608d84bb81983b4 | 23,065 | py | Python | jina/flow/mixin/crud.py | HarshCasper/jina | 81ab098b140b74ad1cfdfde9218cec7a40923749 | [
"Apache-2.0"
] | 1 | 2021-02-25T19:28:50.000Z | 2021-02-25T19:28:50.000Z | jina/flow/mixin/crud.py | HarshCasper/jina | 81ab098b140b74ad1cfdfde9218cec7a40923749 | [
"Apache-2.0"
] | 4 | 2020-09-01T17:47:27.000Z | 2021-04-16T23:11:57.000Z | jina/flow/mixin/crud.py | deepampatel/jina | 97f9e97a4a678a28bdeacbc7346eaf7bbd2aeb89 | [
"Apache-2.0"
] | null | null | null | import warnings
from typing import Union, Iterable, TextIO, Dict
import numpy as np
from ...clients.base import InputFnType, CallbackFnType
from ...enums import DataInputType
from ...helper import deprecated_alias
class CRUDFlowMixin:
"""The synchronous version of the Mixin for CRUD in Flow"""
def train(sel... | 59.141026 | 120 | 0.612963 |
2dc77bef14ac69b1dae8b8270fe5d37b38f624f5 | 3,612 | py | Python | myproject/cvPrj/model_torch.py | GavinK-ai/cv | 6dd11b2100c40aca281508c3821c807ef0ee227d | [
"MIT"
] | 1 | 2021-11-15T06:16:44.000Z | 2021-11-15T06:16:44.000Z | myproject/cvPrj/model_torch.py | JKai96/cv | 6dd11b2100c40aca281508c3821c807ef0ee227d | [
"MIT"
] | null | null | null | myproject/cvPrj/model_torch.py | JKai96/cv | 6dd11b2100c40aca281508c3821c807ef0ee227d | [
"MIT"
] | null | null | null | import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor, Lambda, Compose
import matplotlib.pyplot as plt
import numpy as np
import random
import cv2 as cv
import time
train_path = 'dataset/training_data_aug'
test_path = 'dat... | 28 | 91 | 0.613787 |
2dc7c1074447e6a369c2da7d8daa1a6b5a6f561b | 1,053 | py | Python | setup.py | GentleCP/cptools | 6816314f7e16168d3ce43c73e335a3c08590acb5 | [
"MIT"
] | 2 | 2021-04-17T13:16:38.000Z | 2021-06-16T02:26:09.000Z | setup.py | GentleCP/cptools | 6816314f7e16168d3ce43c73e335a3c08590acb5 | [
"MIT"
] | null | null | null | setup.py | GentleCP/cptools | 6816314f7e16168d3ce43c73e335a3c08590acb5 | [
"MIT"
] | null | null | null | from setuptools import setup
import setuptools
from pathlib import Path
about = {}
root_path = Path(__file__).parent
__about__ = root_path.joinpath('cptools/__about__.py').open('r', encoding='utf-8').read()
exec(__about__, about)
with open("README.md", 'r', encoding='utf8') as f:
long_description = f.re... | 30.970588 | 90 | 0.642925 |
2dc7e9d4b01dcc767a2dea0db22c4575b9e732e3 | 4,077 | py | Python | jumpy/jumpy/spark/fast_impl.py | zhangy10/deeplearning4j | 9d31156ce600dee6ce4a7fac28286ebbaa211164 | [
"Apache-2.0"
] | null | null | null | jumpy/jumpy/spark/fast_impl.py | zhangy10/deeplearning4j | 9d31156ce600dee6ce4a7fac28286ebbaa211164 | [
"Apache-2.0"
] | null | null | null | jumpy/jumpy/spark/fast_impl.py | zhangy10/deeplearning4j | 9d31156ce600dee6ce4a7fac28286ebbaa211164 | [
"Apache-2.0"
] | null | null | null | ################################################################################
# Copyright (c) 2015-2018 Skymind, Inc.
#
# This program and the accompanying materials are made available under the
# terms of the Apache License, Version 2.0 which is available at
# https://www.apache.org/licenses/LICENSE-2.0.
#
# Unless... | 30.425373 | 87 | 0.695364 |
2dc7fb76567832f5c184e3a6a314ad39ef82ba02 | 1,119 | py | Python | skimage/graph/tests/test_heap.py | jaberg/scikits-image | 2ab3e2dfb341189ef2ff9370c6cf3d33ef6ec88d | [
"BSD-3-Clause"
] | 2 | 2020-02-17T18:54:33.000Z | 2021-09-28T15:18:23.000Z | skimage/graph/tests/test_heap.py | amueller/scikit-image | a8bfc5c5814a3c7fe363cfcad0c68b935706cd3c | [
"BSD-3-Clause"
] | 1 | 2015-09-04T09:25:46.000Z | 2015-09-04T09:25:46.000Z | skimage/graph/tests/test_heap.py | emmanuelle/scikit-image | eccc41907135cf81b99c4be18a480a9bc705485d | [
"BSD-3-Clause"
] | 1 | 2019-12-20T19:19:59.000Z | 2019-12-20T19:19:59.000Z | import numpy as np
from numpy.testing import *
import time
import random
import skimage.graph.heap as heap
def test_heap():
_test_heap(100000, True)
_test_heap(100000, False)
def _test_heap(n, fast_update):
# generate random numbers with duplicates
random.seed(0)
a = [random.uniform(1.0, 100.0)... | 20.722222 | 74 | 0.557641 |
2dc7fed6cfae3a6595a35ea95be96e15301ae429 | 592 | py | Python | python/q1528/q1528.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | python/q1528/q1528.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | python/q1528/q1528.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def restoreString(self, s: str, indices: List[int]) -> str:
list = ["" for i in range(len(indices))]
for c, i in zip(s, indices):
list[i] = c
return "".join(list)
def restoreString_2(self, s: str, indices: List[int]) -> str:
... | 23.68 | 65 | 0.523649 |
2dc813afc39a65a1a6b946978aed87d4e0ab4213 | 763 | py | Python | ctic/2.8.py | shubhamoli/practice | 5a24fdeb6e5f43b821ef0510fe3b343ddda18f22 | [
"MIT"
] | 1 | 2020-02-25T10:32:27.000Z | 2020-02-25T10:32:27.000Z | ctic/2.8.py | shubhamoli/practice | 5a24fdeb6e5f43b821ef0510fe3b343ddda18f22 | [
"MIT"
] | null | null | null | ctic/2.8.py | shubhamoli/practice | 5a24fdeb6e5f43b821ef0510fe3b343ddda18f22 | [
"MIT"
] | null | null | null | """
2.8 - Detect loop in LL
"""
# Definition of ListNode
class ListNode:
def __init__(self, val):
self.val = val
self.next = None
# Floyd' algorithm
def detectLoop(head: ListNode) -> bool:
if not head or not head.next:
return False
fast = slow = head
while fast and fast.... | 16.955556 | 53 | 0.580603 |
2dc8203134d6d465b3bc36ad4e15c882983914cc | 13,345 | py | Python | srcs/model.py | noambuckman/PIXOR | 70a7033874ac1f84baa307049b2891ebc4db83d2 | [
"MIT"
] | null | null | null | srcs/model.py | noambuckman/PIXOR | 70a7033874ac1f84baa307049b2891ebc4db83d2 | [
"MIT"
] | null | null | null | srcs/model.py | noambuckman/PIXOR | 70a7033874ac1f84baa307049b2891ebc4db83d2 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from utils import maskFOV_on_BEV, get_discretization_from_geom
def conv3x3(in_planes, out_planes, stride=1, bias=False):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
... | 34.39433 | 115 | 0.578868 |
2dc822fb0ead9cda7caa0a6995dd6bf42b6c8d42 | 9,843 | py | Python | openpype/plugins/publish/extract_otio_audio_tracks.py | yosuperdope/OpenPype | 0c90df97ddb8cda291a4f66d35da58b3deb94a71 | [
"MIT"
] | null | null | null | openpype/plugins/publish/extract_otio_audio_tracks.py | yosuperdope/OpenPype | 0c90df97ddb8cda291a4f66d35da58b3deb94a71 | [
"MIT"
] | null | null | null | openpype/plugins/publish/extract_otio_audio_tracks.py | yosuperdope/OpenPype | 0c90df97ddb8cda291a4f66d35da58b3deb94a71 | [
"MIT"
] | null | null | null | import os
import pyblish
import openpype.api
from openpype.lib import (
get_ffmpeg_tool_path
)
import tempfile
import opentimelineio as otio
class ExtractOtioAudioTracks(pyblish.api.ContextPlugin):
"""Extract Audio tracks from OTIO timeline.
Process will merge all found audio tracks into one long .wav fi... | 32.919732 | 78 | 0.533679 |
2dc84ea10bdf6e18c8afdd0b861d5b87cb6bebcc | 3,973 | py | Python | src/buildstream/_pluginfactory/pluginoriginpip.py | doraskayo/buildstream | 1c72d4342ae7df360808de22c5e49f55dbb6bec6 | [
"Apache-2.0"
] | null | null | null | src/buildstream/_pluginfactory/pluginoriginpip.py | doraskayo/buildstream | 1c72d4342ae7df360808de22c5e49f55dbb6bec6 | [
"Apache-2.0"
] | null | null | null | src/buildstream/_pluginfactory/pluginoriginpip.py | doraskayo/buildstream | 1c72d4342ae7df360808de22c5e49f55dbb6bec6 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (C) 2020 Codethink Limited
#
# 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... | 36.118182 | 94 | 0.61037 |
2dc87b154ee455ab57a7e6bd8a5ac51d60347ab7 | 16,796 | py | Python | basic.py | mjucker/pv_atmos | ec962d2ebc1f725bff4031929b0007781dc6db6f | [
"MIT"
] | 48 | 2015-01-07T02:01:11.000Z | 2022-02-04T08:38:24.000Z | basic.py | mjucker/pv_atmos | ec962d2ebc1f725bff4031929b0007781dc6db6f | [
"MIT"
] | 1 | 2016-05-16T07:42:45.000Z | 2017-03-22T23:33:28.000Z | basic.py | mjucker/pv_atmos | ec962d2ebc1f725bff4031929b0007781dc6db6f | [
"MIT"
] | 19 | 2015-01-07T02:03:43.000Z | 2021-07-31T19:37:07.000Z | #!/usr/bin/python
# Filename: basic.py
#
# Code by Martin Jucker, distributed under an MIT License
# Any publication benefitting from this piece of code should cite
# Jucker, M 2014. Scientific Visualisation of Atmospheric Data with ParaView.
# Journal of Open Research Software 2(1):e4, DOI: http://dx.doi.org/10.5334/j... | 45.150538 | 314 | 0.637592 |
2dc8801da7b236deed4a002e5231b7acfb357e3b | 13,688 | py | Python | hax/helper/generate_sysconf.py | papan-singh/cortx-hare | 4d6a533750dffe0b71c633a3707da79d9883b3dd | [
"Apache-2.0"
] | null | null | null | hax/helper/generate_sysconf.py | papan-singh/cortx-hare | 4d6a533750dffe0b71c633a3707da79d9883b3dd | [
"Apache-2.0"
] | null | null | null | hax/helper/generate_sysconf.py | papan-singh/cortx-hare | 4d6a533750dffe0b71c633a3707da79d9883b3dd | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 Seagate Technology LLC and/or its Affiliates
#
# 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 appl... | 36.21164 | 79 | 0.590517 |
2dc886a8a1f4f360bc15f7bcf80d3c94678ca9ab | 3,257 | py | Python | sdk/monitor/azure-mgmt-monitor/azure/mgmt/monitor/v2019_11_01_preview/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/monitor/azure-mgmt-monitor/azure/mgmt/monitor/v2019_11_01_preview/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/monitor/azure-mgmt-monitor/azure/mgmt/monitor/v2019_11_01_preview/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"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.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 47.897059 | 130 | 0.701566 |
2dc8b6a00646400249e6cce87ac63b89837d7864 | 4,063 | py | Python | src/model/data_loader.py | karanrampal/image-caption | f903504dbb369ec86e11f7628421bf06d78d117f | [
"MIT"
] | null | null | null | src/model/data_loader.py | karanrampal/image-caption | f903504dbb369ec86e11f7628421bf06d78d117f | [
"MIT"
] | null | null | null | src/model/data_loader.py | karanrampal/image-caption | f903504dbb369ec86e11f7628421bf06d78d117f | [
"MIT"
] | null | null | null | """Extract, Transform and Load the data"""
import logging
import os
import json
import random
from collections import defaultdict
from typing import Dict, List, Optional, Tuple
import torch
import torchvision.transforms as tx
from torch.utils.data import DataLoader, Dataset
from torchvision.io import read_image, Imag... | 31.742188 | 106 | 0.687669 |
2dc8ba997c8c8abf5ba99f789a008734402187e0 | 7,607 | py | Python | xhistogram/xarray.py | raybellwaves/xhistogram | 9992eba11eff9ee704e0f6755d521ab56cab9de3 | [
"MIT"
] | null | null | null | xhistogram/xarray.py | raybellwaves/xhistogram | 9992eba11eff9ee704e0f6755d521ab56cab9de3 | [
"MIT"
] | null | null | null | xhistogram/xarray.py | raybellwaves/xhistogram | 9992eba11eff9ee704e0f6755d521ab56cab9de3 | [
"MIT"
] | null | null | null | """
Xarray API for xhistogram.
"""
import xarray as xr
import numpy as np
from collections import OrderedDict
from .core import histogram as _histogram
def histogram(*args, bins=None, dim=None, weights=None, density=False,
block_size='auto', keep_coords=False, bin_dim_suffix='_bin',
bin_e... | 40.248677 | 105 | 0.649928 |
2dc8d45904bc25a31da50d7a97ac1f20ab3c87bb | 180 | py | Python | src/compiling.py | ezielramos/cool-compiler-2021 | e5b2aa51e47296b21f8b1ea14d73b1c7e7ef0785 | [
"MIT"
] | null | null | null | src/compiling.py | ezielramos/cool-compiler-2021 | e5b2aa51e47296b21f8b1ea14d73b1c7e7ef0785 | [
"MIT"
] | null | null | null | src/compiling.py | ezielramos/cool-compiler-2021 | e5b2aa51e47296b21f8b1ea14d73b1c7e7ef0785 | [
"MIT"
] | null | null | null | import sys, lexerTest, parserTest, semanticTest, codegenTest
addr = None
addr = sys.argv[1]
lexerTest.run(addr)
parserTest.run(addr)
semanticTest.run(addr)
codegenTest.run(addr)
| 18 | 60 | 0.783333 |
2dc8ef6e78c60d2b2f7bfe442c1d43d645770c6a | 159 | py | Python | tests/integration/launcher.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 2 | 2020-09-30T11:40:22.000Z | 2020-11-09T09:06:30.000Z | tests/integration/launcher.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 542 | 2021-01-11T13:23:47.000Z | 2022-03-31T15:38:10.000Z | tests/integration/launcher.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 1 | 2020-10-01T12:18:15.000Z | 2020-10-01T12:18:15.000Z | import random
import sys
import time
def main() -> int:
time.sleep(10)
return random.randint(0, 1)
if __name__ == "__main__":
sys.exit(main())
| 12.230769 | 31 | 0.641509 |
2dc8f8584618cb667394f23d20f7e11b563838b1 | 5,275 | py | Python | RNNS/model/classifier_model.py | CenIII/Text-style-transfer-DeleteRetrieve | 2b7aa017765dcae65b42fc94d3ccaddc57ac8661 | [
"MIT"
] | null | null | null | RNNS/model/classifier_model.py | CenIII/Text-style-transfer-DeleteRetrieve | 2b7aa017765dcae65b42fc94d3ccaddc57ac8661 | [
"MIT"
] | null | null | null | RNNS/model/classifier_model.py | CenIII/Text-style-transfer-DeleteRetrieve | 2b7aa017765dcae65b42fc94d3ccaddc57ac8661 | [
"MIT"
] | null | null | null | import torch
import numpy as np
from torch.autograd import Variable
import torch.nn.functional as F
import torch.utils.data as data_utils
class StructuredSelfAttention_test(torch.nn.Module):
"""
The class is an implementation of the paper A Structured Self-Attentive Sentence Embedding including regularization... | 39.365672 | 160 | 0.629953 |
2dc92794b635de65136acf2841004b1d7b952474 | 1,933 | py | Python | sysinv/sysinv/sysinv/sysinv/openstack/common/db/exception.py | starlingx-staging/stx-config | ccbf0392d1941e7cad6673f6351bd905a5a5d419 | [
"Apache-2.0"
] | null | null | null | sysinv/sysinv/sysinv/sysinv/openstack/common/db/exception.py | starlingx-staging/stx-config | ccbf0392d1941e7cad6673f6351bd905a5a5d419 | [
"Apache-2.0"
] | null | null | null | sysinv/sysinv/sysinv/sysinv/openstack/common/db/exception.py | starlingx-staging/stx-config | ccbf0392d1941e7cad6673f6351bd905a5a5d419 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# 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 ... | 33.327586 | 78 | 0.716503 |
2dc9609b967f3944d279e1654ccd1fe298844158 | 1,435 | py | Python | setup.py | mduranmustafa/keras | d4a14ee54728ac8ea6c5ffbf41f559662dcfba46 | [
"MIT"
] | null | null | null | setup.py | mduranmustafa/keras | d4a14ee54728ac8ea6c5ffbf41f559662dcfba46 | [
"MIT"
] | null | null | null | setup.py | mduranmustafa/keras | d4a14ee54728ac8ea6c5ffbf41f559662dcfba46 | [
"MIT"
] | 1 | 2019-10-03T22:52:17.000Z | 2019-10-03T22:52:17.000Z | from setuptools import setup
from setuptools import find_packages
setup(name='Keras',
version='2.0.9',
description='Deep Learning for Python',
author='Francois Chollet',
author_email='francois.chollet@gmail.com',
url='https://github.com/fchollet/keras',
download_url='https://github... | 35.875 | 72 | 0.522648 |
2dc964038d470f7e6d3cec147da2e8284b73a521 | 8,445 | py | Python | tencentcloud/cfs/v20190719/errorcodes.py | lleiyyang/tencentcloud-sdk-python | e6e6a4ce89286673b2322ae92d3c2fbf8665aa0b | [
"Apache-2.0"
] | null | null | null | tencentcloud/cfs/v20190719/errorcodes.py | lleiyyang/tencentcloud-sdk-python | e6e6a4ce89286673b2322ae92d3c2fbf8665aa0b | [
"Apache-2.0"
] | null | null | null | tencentcloud/cfs/v20190719/errorcodes.py | lleiyyang/tencentcloud-sdk-python | e6e6a4ce89286673b2322ae92d3c2fbf8665aa0b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 32.988281 | 105 | 0.862877 |
2dc967914f0278a927b112d3a114e9b0f31e4f68 | 2,537 | py | Python | assemblyline/common/tagging.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | assemblyline/common/tagging.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | assemblyline/common/tagging.py | malvidin/assemblyline-base | 6e7de0c15fbca2cf586e33f04df7d3717bd0c0b5 | [
"MIT"
] | null | null | null | import re
from typing import List, Dict
from assemblyline.common.dict_utils import flatten
from assemblyline.odm.models.tagging import Tagging
def tag_list_to_dict(tag_list: List[Dict]) -> Dict:
tag_dict = {}
for t in tag_list:
if t['type'] not in tag_dict:
tag_dict[t['type']] = []
... | 32.525641 | 106 | 0.569965 |
2dc969b5955a35162e4c15e85c37879514bccda0 | 4,624 | py | Python | keras_frcnn/simple_parser_datagen.py | So-dal/Keras_FasterRCNN_CustomDataset | 254a3e7b32d025d5ccabf527052d4ef457b29563 | [
"Apache-2.0"
] | null | null | null | keras_frcnn/simple_parser_datagen.py | So-dal/Keras_FasterRCNN_CustomDataset | 254a3e7b32d025d5ccabf527052d4ef457b29563 | [
"Apache-2.0"
] | null | null | null | keras_frcnn/simple_parser_datagen.py | So-dal/Keras_FasterRCNN_CustomDataset | 254a3e7b32d025d5ccabf527052d4ef457b29563 | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
def get_data_batch(input_path, batch_imgs, dataset):
""" input_path = fichier d'annotations .txt
batch_imgs = liste qui contient les noms de fichiers dans le batch
dataset = string : type de dataset train/val or test """
found_bg = False
all_imgs = ... | 35.030303 | 150 | 0.556877 |
2dc987c2f701e13d5fb95294a630aadfbfe22a43 | 1,777 | py | Python | examples/AdAccountGeneratePreviewsEdgeInstagramStandards.py | pasha-r/facebook-python-ads-sdk | 76feadd77baed839516b53297628e7a254c8c3c0 | [
"CNRI-Python"
] | null | null | null | examples/AdAccountGeneratePreviewsEdgeInstagramStandards.py | pasha-r/facebook-python-ads-sdk | 76feadd77baed839516b53297628e7a254c8c3c0 | [
"CNRI-Python"
] | null | null | null | examples/AdAccountGeneratePreviewsEdgeInstagramStandards.py | pasha-r/facebook-python-ads-sdk | 76feadd77baed839516b53297628e7a254c8c3c0 | [
"CNRI-Python"
] | 1 | 2018-09-24T14:04:48.000Z | 2018-09-24T14:04:48.000Z | # Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Fa... | 44.425 | 269 | 0.767023 |
2dc9a82bd131dfd3641b336db8ca2eb22da6c0a9 | 16,002 | py | Python | wienerschnitzelgemeinschaft/src/Christof/models/GAPNet/11_ext_g/train0.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | wienerschnitzelgemeinschaft/src/Christof/models/GAPNet/11_ext_g/train0.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | wienerschnitzelgemeinschaft/src/Christof/models/GAPNet/11_ext_g/train0.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | import os, sys
#os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"]="1"
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import skimage.io
from skimage.transform import resize
from imgaug import augmenters as iaa
from tqdm import tqdm
import PIL
from PIL import Image... | 35.092105 | 123 | 0.661917 |
2dc9ae6f2bd26547214793c8780d8732e51f11c9 | 90,177 | py | Python | src/rprblender/nodes/blender_nodes.py | ralic/RadeonProRenderBlenderAddon | 310c650d4230289ac5d5407cc24a13b4c7ce0a90 | [
"Apache-2.0"
] | 1 | 2021-03-29T05:55:49.000Z | 2021-03-29T05:55:49.000Z | src/rprblender/nodes/blender_nodes.py | ralic/RadeonProRenderBlenderAddon | 310c650d4230289ac5d5407cc24a13b4c7ce0a90 | [
"Apache-2.0"
] | 1 | 2021-04-03T09:39:28.000Z | 2021-04-03T09:39:28.000Z | src/rprblender/nodes/blender_nodes.py | isabella232/RadeonProRenderBlenderAddon | ff4ede164c1e1e909f182be709422bc8c8878b1c | [
"Apache-2.0"
] | null | null | null | #**********************************************************************
# Copyright 2020 Advanced Micro Devices, 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.o... | 38.487836 | 140 | 0.615767 |
2dc9ba20c7e1e06ee3c945a052fd4cef464e2847 | 777 | gyp | Python | media/base/ipc/media_base_ipc.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2019-01-28T08:09:58.000Z | 2021-11-15T15:32:10.000Z | media/base/ipc/media_base_ipc.gyp | maidiHaitai/haitaibrowser | a232a56bcfb177913a14210e7733e0ea83a6b18d | [
"BSD-3-Clause"
] | null | null | null | media/base/ipc/media_base_ipc.gyp | maidiHaitai/haitaibrowser | a232a56bcfb177913a14210e7733e0ea83a6b18d | [
"BSD-3-Clause"
] | 6 | 2020-09-23T08:56:12.000Z | 2021-11-18T03:40:49.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
# GN version: //media/base/ipc
'target_name': 'media_base_ipc',
'type': 'static_library',
'dependencies': [
... | 28.777778 | 77 | 0.571429 |
2dc9bbb059934b2e5f642c491fe2fb1d0a23eced | 5,219 | py | Python | gitlab-ci/src/job_scripts/cargo_build_canisters.py | 3cL1p5e7/ic | 2b6011291d900454cedcf86ec41c8c1994fdf7d9 | [
"Apache-2.0"
] | null | null | null | gitlab-ci/src/job_scripts/cargo_build_canisters.py | 3cL1p5e7/ic | 2b6011291d900454cedcf86ec41c8c1994fdf7d9 | [
"Apache-2.0"
] | null | null | null | gitlab-ci/src/job_scripts/cargo_build_canisters.py | 3cL1p5e7/ic | 2b6011291d900454cedcf86ec41c8c1994fdf7d9 | [
"Apache-2.0"
] | 1 | 2022-03-12T03:13:53.000Z | 2022-03-12T03:13:53.000Z | import logging
import os
import shutil
from os import environ
from os import getenv
from os import path
from typing import Optional
from ci import cwd
from ci import ENV
from ci import flatten
from ci import mkdir_p
from ci import sh
from ci import show_sccache_stats
CANISTERS = [
"cycles-minting-canister",
"... | 31.251497 | 114 | 0.624832 |
2dc9c432dd7feb75631802a63b27ddbff2c3f585 | 542 | py | Python | example/testapp/__init__.py | elpaso/rpc4django | d722faf5fb8408c7cd5f7c937b489b8cd5eae2ff | [
"BSD-3-Clause"
] | null | null | null | example/testapp/__init__.py | elpaso/rpc4django | d722faf5fb8408c7cd5f7c937b489b8cd5eae2ff | [
"BSD-3-Clause"
] | null | null | null | example/testapp/__init__.py | elpaso/rpc4django | d722faf5fb8408c7cd5f7c937b489b8cd5eae2ff | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from rpc4django import rpcmethod
from othermodule import intro, request
from secretmodule import * # imports protected method
@rpcmethod(name='rpc4django.mytestmethod',signature=['int', 'int', 'int', 'int'])
def mytestmethod(a, b, c):
'''
Adds the three parameters together and returns ... | 22.583333 | 81 | 0.625461 |
2dc9d3dbecf6d49422047c144bb322db043b5153 | 48,126 | py | Python | src/sage/graphs/graph_database.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | null | null | null | src/sage/graphs/graph_database.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | null | null | null | src/sage/graphs/graph_database.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | null | null | null | """
Graph database
INFO:
This module implements classes (GraphDatabase, GraphQuery,
GenericGraphQuery) for interfacing with the sqlite database
graphs.db.
The GraphDatabase class interfaces with the sqlite database
graphs.db. It is an immutable database that inherits from
SQLDatabase (see sage.databases.database.py)... | 44.893657 | 154 | 0.422142 |
2dc9de17b865659484619fd7a52973a0efd5fd8d | 41,086 | py | Python | oscar/lib/python2.7/site-packages/setuptools/package_index.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/setuptools/package_index.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/setuptools/package_index.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | """PyPI and direct package downloading"""
import sys
import os
import re
import shutil
import socket
import base64
import hashlib
import itertools
from functools import wraps
try:
from urllib.parse import splituser
except ImportError:
from urllib2 import splituser
from setuptools.extern import... | 36.815412 | 88 | 0.560556 |
2dca1b02985505dd118fdff1b3818811b69ebc24 | 532 | py | Python | redhawk/test/files/examples/counter.py | spranesh/Redhawk | e2be5a6553df8449acecee2239b60c7bca0f22bc | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-10-04T11:46:32.000Z | 2017-07-09T15:23:55.000Z | redhawk/test/files/examples/counter.py | spranesh/Redhawk | e2be5a6553df8449acecee2239b60c7bca0f22bc | [
"BSD-2-Clause-FreeBSD"
] | 4 | 2016-03-07T13:16:48.000Z | 2018-03-21T00:25:04.000Z | redhawk/test/files/examples/counter.py | spranesh/Redhawk | e2be5a6553df8449acecee2239b60c7bca0f22bc | [
"BSD-2-Clause-FreeBSD"
] | 3 | 2016-04-06T08:04:34.000Z | 2020-03-17T20:59:47.000Z | def CounterClosure(init=0):
value = [init]
def Inc():
value[0] += 1
return value[0]
return Inc
class CounterClass:
def __init__(self, init=0):
self.value = init
def Bump(self):
self.value += 1
return self.value
def CounterIter(init = 0):
while True:
init += 1
yield init
if __... | 18.344828 | 39 | 0.590226 |
2dca307ee69792af92c5cbc9ae60f56cb4b22e52 | 10,759 | py | Python | tests/p2p/test_auth.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 137 | 2017-03-17T11:37:51.000Z | 2022-03-07T07:51:28.000Z | tests/p2p/test_auth.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 102 | 2017-04-07T10:43:03.000Z | 2018-11-11T18:01:56.000Z | tests/p2p/test_auth.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 39 | 2017-03-17T11:38:52.000Z | 2021-02-18T23:05:17.000Z | import asyncio
import pytest
from eth_utils import (
decode_hex,
)
from eth_keys import keys
from cancel_token import CancelToken
from p2p import ecies
from p2p import kademlia
from p2p.p2p_proto import Hello
from p2p.auth import (
HandshakeInitiator,
HandshakeResponder,
)
from p2p.auth import decode_a... | 46.575758 | 99 | 0.762431 |
2dca3bb11bfee07f74774e1e0e9a9a76dadfabe7 | 477 | py | Python | comps/migrations/0003_comp_url_data_format.py | dlanghorne0428/dancesport-tracker-projec | e55d91a4f03c26d6ee8c28846a809064adfdb158 | [
"MIT"
] | null | null | null | comps/migrations/0003_comp_url_data_format.py | dlanghorne0428/dancesport-tracker-projec | e55d91a4f03c26d6ee8c28846a809064adfdb158 | [
"MIT"
] | 87 | 2020-04-15T22:29:03.000Z | 2022-01-02T02:21:28.000Z | comps/migrations/0003_comp_url_data_format.py | dlanghorne0428/dancesport-tracker-projec | e55d91a4f03c26d6ee8c28846a809064adfdb158 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2020-04-05 17:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comps', '0002_comp_logo'),
]
operations = [
migrations.AddField(
model_name='comp',
name='url_data_format',
... | 25.105263 | 147 | 0.589099 |
2dca4c30a5eecfd4432cd8ee36a915900b826c9c | 1,029 | py | Python | test/test_cms_error.py | jlk/qualys-cs-python-client | e2e39fd64d41fd6671d45343843ef36fa3ab59a4 | [
"Apache-2.0"
] | null | null | null | test/test_cms_error.py | jlk/qualys-cs-python-client | e2e39fd64d41fd6671d45343843ef36fa3ab59a4 | [
"Apache-2.0"
] | null | null | null | test/test_cms_error.py | jlk/qualys-cs-python-client | e2e39fd64d41fd6671d45343843ef36fa3ab59a4 | [
"Apache-2.0"
] | 1 | 2020-05-15T04:20:48.000Z | 2020-05-15T04:20:48.000Z | # coding: utf-8
"""
Container Security APIs
All features of the Container Security are available through REST APIs.<br/>Access support information at www.qualys.com/support/<br/><br/><b>Permissions:</b><br/>User must have the Container module enabled<br/>User must have API ACCESS permission # noqa: E501
... | 25.725 | 265 | 0.707483 |
2dca7297384da108a4373d63a911a369b04a72b4 | 18,379 | py | Python | NBA Project/venv/Lib/site-packages/plotly/graph_objs/isosurface/slices/__init__.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | 1 | 2020-08-08T21:56:11.000Z | 2020-08-08T21:56:11.000Z | NBA Project/venv/Lib/site-packages/plotly/graph_objs/isosurface/slices/__init__.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | 2 | 2021-03-31T19:54:17.000Z | 2021-06-02T02:33:56.000Z | NBA Project/venv/Lib/site-packages/plotly/graph_objs/isosurface/slices/__init__.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Z(_BaseTraceHierarchyType):
# fill
# ----
@property
def fill(self):
"""
Sets the fill ratio of the `slices`. The default fill value of
the `slices` is 1 meaning that t... | 29.219396 | 82 | 0.550737 |
2dca7ced9c51cc5808200f2d2e696cbca6637c2a | 30,607 | py | Python | tests/modeltests/fixtures/tests.py | jezdez-archive/django-old | 9e28c4f4e90f8dfcfbb55bb13be437afb4f870e9 | [
"BSD-3-Clause"
] | 1 | 2019-06-13T16:18:27.000Z | 2019-06-13T16:18:27.000Z | tests/modeltests/fixtures/tests.py | sirmmo/rango | 9e28c4f4e90f8dfcfbb55bb13be437afb4f870e9 | [
"BSD-3-Clause"
] | null | null | null | tests/modeltests/fixtures/tests.py | sirmmo/rango | 9e28c4f4e90f8dfcfbb55bb13be437afb4f870e9 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
import StringIO
from django.contrib.sites.models import Site
from django.core import management
from django.db import connection
from django.test import TestCase, TransactionTestCase, skipUnlessDBFeature
from .models import Article, Book, Spy, Tag, Visa
class TestCaseFixtureL... | 85.733894 | 4,318 | 0.649361 |
2dca94b6cb507037ac8697b3ae990a76ef88d254 | 7,570 | py | Python | aioapp/db.py | konstantin-stepanov/aiodirector | 4a928762c6a388a4102154b59b78badbff9e1511 | [
"MIT"
] | null | null | null | aioapp/db.py | konstantin-stepanov/aiodirector | 4a928762c6a388a4102154b59b78badbff9e1511 | [
"MIT"
] | null | null | null | aioapp/db.py | konstantin-stepanov/aiodirector | 4a928762c6a388a4102154b59b78badbff9e1511 | [
"MIT"
] | null | null | null | import json
import asyncio
import asyncpg
import asyncpg.pool
import aiozipkin as az
import aiozipkin.span as azs # noqa
from .app import Component
from .error import PrepareError
from .misc import mask_url_pwd
class PgDb(Component):
def __init__(self, dsn, pool_min_size=10, pool_max_size=10,
po... | 35.373832 | 79 | 0.596697 |
2dcaa8465d76636c061f62b1f4cfc1082a7b08fe | 138 | py | Python | assignment2/nn_visualization/models.py | hyzhak/cs231n-lecture-notes | 0f0a586a1f015e97f6ea62ad9711ac6e766f46bc | [
"MIT"
] | 14 | 2018-06-25T08:41:27.000Z | 2022-01-17T17:16:02.000Z | assignment2/nn_visualization/models.py | hyzhak/cs231n-lecture-notes | 0f0a586a1f015e97f6ea62ad9711ac6e766f46bc | [
"MIT"
] | 12 | 2020-11-18T21:11:03.000Z | 2022-03-11T23:14:53.000Z | assignment2/nn_visualization/models.py | hyzhak/cs231n-lecture-notes | 0f0a586a1f015e97f6ea62ad9711ac6e766f46bc | [
"MIT"
] | 7 | 2018-05-04T14:54:29.000Z | 2020-06-16T17:13:31.000Z | def get_model_name(model):
"""
Get name of model
:param model:
:return:
"""
return model['hyper_params']['name']
| 15.333333 | 40 | 0.572464 |
2dcac0863d8c9eb5592cd1dbbf223b4ef6b2661e | 923 | py | Python | src/elemeno_ai_sdk/models/conversion/tensorflow.py | elemeno-ai/elemeno-ai-sdk | 2737b2c9c575119bd40efcd8c5e91a98f9d8b6b1 | [
"Apache-2.0"
] | 1 | 2021-11-16T13:38:39.000Z | 2021-11-16T13:38:39.000Z | src/elemeno_ai_sdk/models/conversion/tensorflow.py | elemeno-ai/elemeno-ai-sdk | 2737b2c9c575119bd40efcd8c5e91a98f9d8b6b1 | [
"Apache-2.0"
] | null | null | null | src/elemeno_ai_sdk/models/conversion/tensorflow.py | elemeno-ai/elemeno-ai-sdk | 2737b2c9c575119bd40efcd8c5e91a98f9d8b6b1 | [
"Apache-2.0"
] | null | null | null | from typing import Any
import tf2onnx
from tensorflow.python.keras.models import load_model
import onnx
from elemeno_ai_sdk.models.conversion.converter_abc import ConverterABC
ConverterABC.register
class TensorflowConverter:
def transform(self, path: str) -> Any:
"""
Convert a tensorflow model t... | 34.185185 | 83 | 0.652221 |
2dcacdad85e636d95e30bb0b0e001cf56b172635 | 11,118 | py | Python | airflow/contrib/auth/backends/ldap_auth.py | zaoshu/incubator-airflow | 35e7d2bea12700339934998edefda9458a44b4db | [
"Apache-2.0"
] | null | null | null | airflow/contrib/auth/backends/ldap_auth.py | zaoshu/incubator-airflow | 35e7d2bea12700339934998edefda9458a44b4db | [
"Apache-2.0"
] | 2 | 2018-05-04T18:59:22.000Z | 2018-08-14T19:07:51.000Z | airflow/contrib/auth/backends/ldap_auth.py | zaoshu/incubator-airflow | 35e7d2bea12700339934998edefda9458a44b4db | [
"Apache-2.0"
] | null | null | null | # -*- 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 or agreed to in writing, software
... | 34.962264 | 152 | 0.598669 |
2dcad5d3e733c2382201bcdb8c5c49221a0dfe60 | 2,166 | py | Python | configs/_dynamic_/rules/140GF_rules.py | zengming16/GAIA-det | cac6b5601d63aeaa3882cea2256dcb2539fecb34 | [
"Apache-2.0"
] | 149 | 2021-06-21T06:18:16.000Z | 2022-03-23T08:55:23.000Z | configs/_dynamic_/rules/140GF_rules.py | zengming16/GAIA-det | cac6b5601d63aeaa3882cea2256dcb2539fecb34 | [
"Apache-2.0"
] | 7 | 2021-07-11T07:52:58.000Z | 2022-03-30T11:41:39.000Z | configs/_dynamic_/rules/140GF_rules.py | zengming16/GAIA-det | cac6b5601d63aeaa3882cea2256dcb2539fecb34 | [
"Apache-2.0"
] | 13 | 2021-06-29T06:06:13.000Z | 2022-02-28T01:31:17.000Z | model_space_path = 'path/to/ar50to101_flops.json'
model_sampling_rules = dict(
type='sequential',
rules=[
# 1. overhead constraints, e.g. close to R50(138*1e9), replace it basing on your needs.
dict(
func_str=
'lambda x: x[\'overhead.flops\'] <=140*1e9 and x[\'overhead.fl... | 39.381818 | 120 | 0.449677 |
2dcb33c2263e1357ab0626164278f30088126438 | 1,958 | py | Python | tests/test_processes.py | gwiederhecker/MPh | d5eb7b6e9e00fe3fcd00acf53278a89243ae512a | [
"MIT"
] | 1 | 2021-12-23T09:15:56.000Z | 2021-12-23T09:15:56.000Z | tests/test_processes.py | gwiederhecker/MPh | d5eb7b6e9e00fe3fcd00acf53278a89243ae512a | [
"MIT"
] | null | null | null | tests/test_processes.py | gwiederhecker/MPh | d5eb7b6e9e00fe3fcd00acf53278a89243ae512a | [
"MIT"
] | null | null | null | """Tests multi-processing."""
__license__ = 'MIT'
########################################
# Dependencies #
########################################
import parent
from subprocess import run, PIPE
from platform import system
from pathlib import Path
from sys import argv
import logg... | 31.079365 | 79 | 0.501532 |
2dcb3fc5d3d7c5ec6776d0a47c481757b50a1b3a | 1,373 | py | Python | src/plot_4.py | Mehul2203/dashboard1-group-e | 300d8db176c24c46008e01147818cfeca04470c9 | [
"MIT"
] | null | null | null | src/plot_4.py | Mehul2203/dashboard1-group-e | 300d8db176c24c46008e01147818cfeca04470c9 | [
"MIT"
] | 3 | 2022-03-06T03:10:56.000Z | 2022-03-19T23:04:23.000Z | src/plot_4.py | Mehul2203/dashboard1-group-e | 300d8db176c24c46008e01147818cfeca04470c9 | [
"MIT"
] | 3 | 2022-02-17T00:34:20.000Z | 2022-03-26T03:09:21.000Z | from ctypes import alignment
from dash import Dash, dcc, html, Input, Output
import plotly.express as px
import pandas as pd
import dash_bootstrap_components as dbc
# Read data
df = pd.read_csv('../data/Superstore.csv')
states = sorted(df['State'].unique())
# Create instance of app
app = Dash(__name__,external_styles... | 28.604167 | 97 | 0.682447 |
2dcb4c5945f9466dede23121ae2c4806a6b7f8e8 | 9,410 | py | Python | mindmeld/active_learning/results_manager.py | Zozman/mindmeld | d86cc823c9b36dbafc8fc8f8ea04085ca1ffdeb5 | [
"Apache-2.0"
] | 1 | 2022-02-09T13:39:41.000Z | 2022-02-09T13:39:41.000Z | mindmeld/active_learning/results_manager.py | Zozman/mindmeld | d86cc823c9b36dbafc8fc8f8ea04085ca1ffdeb5 | [
"Apache-2.0"
] | null | null | null | mindmeld/active_learning/results_manager.py | Zozman/mindmeld | d86cc823c9b36dbafc8fc8f8ea04085ca1ffdeb5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2015 Cisco Systems, Inc. and others. 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... | 36.757813 | 101 | 0.637513 |
2dcb58129b128c1ee9c1ed4cfe945491b9008cd8 | 405 | py | Python | Background/MakeBackgroundOutline.py | protimient/Glyphs-Scripts | 0481ea01153844667cff8cfa3fad97c33af09956 | [
"Apache-2.0"
] | 2 | 2021-02-12T20:36:29.000Z | 2021-11-03T08:04:01.000Z | Background/MakeBackgroundOutline.py | protimient/Glyphs-Scripts | 0481ea01153844667cff8cfa3fad97c33af09956 | [
"Apache-2.0"
] | null | null | null | Background/MakeBackgroundOutline.py | protimient/Glyphs-Scripts | 0481ea01153844667cff8cfa3fad97c33af09956 | [
"Apache-2.0"
] | null | null | null | # MenuTitle: Make Background Outline
# -*- coding: utf-8 -*-
__doc__ = """
Copies the forground to the background as outlines in all selected glyphs.
"""
# Glyphs.clearLog()
# Glyphs.showMacroWindow()
Glyphs.font.disableUpdateInterface()
for g in [x.parent for x in Glyphs.font.selectedLayers]:
for l in g.layers:... | 23.823529 | 74 | 0.725926 |
2dcb6104de535de2016354b00ae0ac0b952cd1d8 | 1,236 | py | Python | examples/interactive/interactive_2d/2d_interactive.py | genematx/nmrglue | 8a24cf6cbd18451e552fc0673b84c42d1dcb69a2 | [
"BSD-3-Clause"
] | 150 | 2015-01-16T12:24:13.000Z | 2022-03-03T18:01:18.000Z | examples/interactive/interactive_2d/2d_interactive.py | genematx/nmrglue | 8a24cf6cbd18451e552fc0673b84c42d1dcb69a2 | [
"BSD-3-Clause"
] | 129 | 2015-01-13T04:58:56.000Z | 2022-03-02T13:39:16.000Z | examples/interactive/interactive_2d/2d_interactive.py | genematx/nmrglue | 8a24cf6cbd18451e552fc0673b84c42d1dcb69a2 | [
"BSD-3-Clause"
] | 88 | 2015-02-16T20:04:12.000Z | 2022-03-10T06:50:30.000Z | #! /usr/bin/env python
# Create a interactive contour plot of a 2D NMRPipe spectrum
import nmrglue as ng
import matplotlib.pyplot as plt
import matplotlib.cm
# plot parameters
cmap = matplotlib.cm.Blues_r # contour map (colors to use for contours)
contour_start = 30000 # contour level start value
contour... | 28.744186 | 74 | 0.723301 |
2dcb71ce04c3a22c945f619686a2973ed280c276 | 55,535 | py | Python | Gilbo-API/Gilbo.py | RavenJSnow/RPG_Game | 597df3671f522fe3c373fba505a2027f8ba4a96b | [
"Apache-2.0"
] | null | null | null | Gilbo-API/Gilbo.py | RavenJSnow/RPG_Game | 597df3671f522fe3c373fba505a2027f8ba4a96b | [
"Apache-2.0"
] | null | null | null | Gilbo-API/Gilbo.py | RavenJSnow/RPG_Game | 597df3671f522fe3c373fba505a2027f8ba4a96b | [
"Apache-2.0"
] | null | null | null | # Gilbo RPG API -- Version 1.2.8 #
from abc import ABC, abstractmethod
from enum import IntEnum, auto
# 3rd Party Libraries
import numpy as np
try:
from dispatcher import Signal
except ModuleNotFoundError:
from django.dispatch.dispatcher import Signal
#
# Events #
#
# Inventory-related
pub_... | 36.560237 | 212 | 0.560944 |
2dcb938ace8440928546421c015172e2d3089653 | 5,747 | py | Python | propagsim/tfutils.py | parcoor/py-propagsim | 86f8d7072d78adafb01739375bed4023b0a046a0 | [
"MIT"
] | 9 | 2020-03-23T07:56:11.000Z | 2020-05-19T07:37:20.000Z | propagsim/tfutils.py | parcoor/py-propagsim | 86f8d7072d78adafb01739375bed4023b0a046a0 | [
"MIT"
] | 4 | 2020-03-24T11:25:24.000Z | 2020-04-26T01:16:16.000Z | propagsim/tfutils.py | parcoor/py-propagsim | 86f8d7072d78adafb01739375bed4023b0a046a0 | [
"MIT"
] | 4 | 2020-03-24T11:18:35.000Z | 2020-05-09T17:46:48.000Z | import tensorflow as tf
from numpy.linalg import norm
from numpy.random import rand
from scipy.spatial.distance import cdist
import warnings
warnings.filterwarnings('ignore', category=RuntimeWarning)
def get_least_severe_state(states):
""" Get the state that has the least severity > 0 """
least_severe_stat... | 47.495868 | 135 | 0.738124 |
2dcba32774e9b55178e28b8069c841dbb9db141c | 2,148 | py | Python | tests/test_url2tree.py | xodhx4/url2tree | 9e5f8f6ed231ef991583b25c844088e9c4ee912c | [
"MIT"
] | 1 | 2019-09-20T01:54:28.000Z | 2019-09-20T01:54:28.000Z | tests/test_url2tree.py | xodhx4/url2tree | 9e5f8f6ed231ef991583b25c844088e9c4ee912c | [
"MIT"
] | null | null | null | tests/test_url2tree.py | xodhx4/url2tree | 9e5f8f6ed231ef991583b25c844088e9c4ee912c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `url2tree` package."""
import pytest
from url2tree import url2tree
@pytest.fixture
def randomUrlData():
# TODO : Add faker for random url test
from faker import Faker
fake = Faker()
domain = fake.url()
url_logs = [(domain + fake.uri_pa... | 24.134831 | 68 | 0.648976 |
2dcbb0830d58f856be6fed6d3f25ae75be5832db | 3,103 | py | Python | tests/test_threadutils.py | hengyicai/Adaptive_Multi-curricula_Learning_for_Dialog | e2d2c613ac4075ce023d6b4acb0a5eddac4e7837 | [
"MIT"
] | 17 | 2020-03-27T17:25:52.000Z | 2021-11-19T03:46:25.000Z | tests/test_threadutils.py | urantialife/ParlAI | 9b6640d50d907e9fa5352f5c4c2290d436110854 | [
"MIT"
] | 3 | 2021-03-11T06:04:15.000Z | 2021-08-31T15:44:42.000Z | tests/test_threadutils.py | urantialife/ParlAI | 9b6640d50d907e9fa5352f5c4c2290d436110854 | [
"MIT"
] | 3 | 2020-05-04T04:37:42.000Z | 2021-07-19T11:09:37.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from parlai.core.thread_utils import SharedTable
from multiprocessing import Process
import unittest
import random
import... | 26.75 | 81 | 0.499194 |
2dcbc9c2b9ab571a5645a058681e01a85bdbb9a5 | 3,088 | py | Python | daoliproxy/openstack/common/report/models/with_default_views.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | daoliproxy/openstack/common/report/models/with_default_views.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | daoliproxy/openstack/common/report/models/with_default_views.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 37.658537 | 78 | 0.665155 |
2dcbe4172bed724c3e41f4edccc637f6ac9294f4 | 5,632 | py | Python | examples/diffusion/poisson_parametric_study.py | clazaro/sfepy | 78757a6989d6aaf85a3fb27957b9179c5e2aa2c7 | [
"BSD-3-Clause"
] | 510 | 2015-01-19T16:22:25.000Z | 2022-03-30T19:02:51.000Z | examples/diffusion/poisson_parametric_study.py | clazaro/sfepy | 78757a6989d6aaf85a3fb27957b9179c5e2aa2c7 | [
"BSD-3-Clause"
] | 402 | 2015-01-22T10:57:50.000Z | 2022-03-30T15:19:23.000Z | examples/diffusion/poisson_parametric_study.py | clazaro/sfepy | 78757a6989d6aaf85a3fb27957b9179c5e2aa2c7 | [
"BSD-3-Clause"
] | 156 | 2015-01-05T14:23:38.000Z | 2022-03-22T13:08:30.000Z | r"""
Poisson equation.
This example demonstrates parametric study capabilities of Application
classes. In particular (written in the strong form):
.. math::
c \Delta t = f \mbox{ in } \Omega,
t = 2 \mbox{ on } \Gamma_1 \;,
t = -2 \mbox{ on } \Gamma_2 \;,
f = 1 \mbox{ in } \Omega_1 \;,
f = 0 \mbox... | 26.074074 | 79 | 0.584339 |
2dcbed1766351b627e3d1e6cefb4484eb8ff9e0a | 4,251 | py | Python | validator/sawtooth_validator/database/lmdb_nolock_database.py | trust-tech/sawtooth-core | fcd66ff2f13dba51d7642049e0c0306dbee3b07d | [
"Apache-2.0"
] | null | null | null | validator/sawtooth_validator/database/lmdb_nolock_database.py | trust-tech/sawtooth-core | fcd66ff2f13dba51d7642049e0c0306dbee3b07d | [
"Apache-2.0"
] | 1 | 2021-12-09T23:11:26.000Z | 2021-12-09T23:11:26.000Z | validator/sawtooth_validator/database/lmdb_nolock_database.py | trust-tech/sawtooth-core | fcd66ff2f13dba51d7642049e0c0306dbee3b07d | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 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... | 32.450382 | 80 | 0.555634 |
2dcbed3ec81bbb9b9671c4f98387bc67f1f3cb64 | 12,719 | py | Python | bonneville/modules/useradd.py | lowsodium/bonneville | 02a016380b56345594f20ee007c62e7e92821a8b | [
"Apache-2.0"
] | null | null | null | bonneville/modules/useradd.py | lowsodium/bonneville | 02a016380b56345594f20ee007c62e7e92821a8b | [
"Apache-2.0"
] | null | null | null | bonneville/modules/useradd.py | lowsodium/bonneville | 02a016380b56345594f20ee007c62e7e92821a8b | [
"Apache-2.0"
] | 3 | 2020-05-10T02:08:44.000Z | 2020-11-06T11:01:57.000Z | # -*- coding: utf-8 -*-
'''
Manage users with the useradd command
'''
# Import python libs
import re
try:
import grp
import pwd
except ImportError:
pass
import logging
import copy
# Import bonneville libs
import bonneville.utils
from bonneville._compat import string_types
log = logging.getLogger(__name_... | 24.745136 | 79 | 0.582514 |
2dcc5370d495b88fb8abba2448f8185d857738db | 6,611 | py | Python | eddymotion/model.py | arokem/EddyMotionCorrection | 3eac1547b31b8f42f17fa67a442ccdc8527658c2 | [
"Apache-2.0"
] | null | null | null | eddymotion/model.py | arokem/EddyMotionCorrection | 3eac1547b31b8f42f17fa67a442ccdc8527658c2 | [
"Apache-2.0"
] | null | null | null | eddymotion/model.py | arokem/EddyMotionCorrection | 3eac1547b31b8f42f17fa67a442ccdc8527658c2 | [
"Apache-2.0"
] | null | null | null | """A factory class that adapts DIPY's dMRI models."""
import warnings
import numpy as np
from dipy.core.gradients import gradient_table
class ModelFactory:
"""A factory for instantiating diffusion models."""
@staticmethod
def init(gtab, model="TensorModel", **kwargs):
"""
Instatiate a dif... | 28.743478 | 75 | 0.532748 |
2dcc83097032b666e75f2a664e9b2f9f57b7c89c | 1,146 | py | Python | terrascript/artifactory/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/artifactory/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/artifactory/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/artifactory/r.py
# Automatically generated by tools/makecode.py ()
import warnings
warnings.warn(
"using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2
)
import terrascript
class artifactory_access_token(terrascript.Resource):
pass
class artifactory_api_key(terrascript.... | 17.363636 | 79 | 0.800175 |
2dcc8a9bc9cb0a15ecc057dd7f45991677b0cbdc | 2,420 | py | Python | lightdo/utils.py | arasHi87/RaitoNoberu | 7ed59db8975175f8927558382ebe3ec491a72672 | [
"MIT"
] | 2 | 2020-02-17T04:06:48.000Z | 2021-04-19T07:36:04.000Z | lightdo/utils.py | arasHi87/RaitoNoberu | 7ed59db8975175f8927558382ebe3ec491a72672 | [
"MIT"
] | 1 | 2021-06-02T00:36:49.000Z | 2021-06-02T00:36:49.000Z | lightdo/utils.py | arasHi87/RaitoNoberu | 7ed59db8975175f8927558382ebe3ec491a72672 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals, print_function
import os
import json
import random
import requests
from ebooklib import epub
from lightdo.mega import Mega
from lightdo.logger import logger
def txt2epub(data, path):
for name in data['content']:
book = epub.EpubBook()
book.set_identifier('{... | 29.876543 | 72 | 0.614463 |
2dccd353c2dd39705056edd0e80bb3554aaad660 | 6,165 | py | Python | tmp_dnn.py | YingK001/- | 11a66cdbddee16c69514b9530a727df0ac6e136f | [
"MIT"
] | 628 | 2015-03-25T17:32:30.000Z | 2021-07-30T18:24:33.000Z | tmp_dnn.py | YingK001/- | 11a66cdbddee16c69514b9530a727df0ac6e136f | [
"MIT"
] | 4 | 2015-04-06T10:23:19.000Z | 2017-01-10T18:47:49.000Z | tmp_dnn.py | YingK001/- | 11a66cdbddee16c69514b9530a727df0ac6e136f | [
"MIT"
] | 253 | 2015-03-25T18:08:43.000Z | 2022-01-26T22:35:05.000Z | """
cuDNN based layers
"""
import theano
import theano.tensor as T
from lasagne import init
from lasagne import nonlinearities
from lasagne.layers.base import Layer
dnn_available = False
if theano.config.device.startswith("gpu"):
from theano.sandbox.cuda import dnn
if dnn.dnn_available():
dnn_availa... | 39.018987 | 135 | 0.618167 |
2dccdb9065110fa4e91c446fff29892e90aacc6e | 1,346 | py | Python | setup.py | meisterluk/ruledxml | 2c66f0b7a931479c7ce3ab6877b1b4ea202f902a | [
"BSD-3-Clause"
] | null | null | null | setup.py | meisterluk/ruledxml | 2c66f0b7a931479c7ce3ab6877b1b4ea202f902a | [
"BSD-3-Clause"
] | null | null | null | setup.py | meisterluk/ruledxml | 2c66f0b7a931479c7ce3ab6877b1b4ea202f902a | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
ruledxml
~~~~~~~~
Rule-based XML transformations.
To install *ruledxml* use pip3:
.. code:: bash
$ pip3 install ruledxml
(C) 2015, meisterluk, BSD 3-clause license
"""
import os.path
from setuptools import setup
def readfile(fname):
with open(os.path... | 25.884615 | 68 | 0.610698 |
2dccddd2fd6b6d9629ccd8b6a61c6ea322a0dc18 | 169,263 | py | Python | src/sage/combinat/ncsf_qsym/qsym.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/ncsf_qsym/qsym.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/ncsf_qsym/qsym.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | null | null | null | r"""
Quasisymmetric functions
REFERENCES:
.. [Ges] \I. Gessel, *Multipartite P-partitions and inner products of skew Schur
functions*, Contemp. Math. **34** (1984), 289-301.
http://people.brandeis.edu/~gessel/homepage/papers/multipartite.pdf
.. [MR] \C. Malvenuto and C. Reutenauer, *Duality between quasi-symme... | 41.772705 | 238 | 0.493504 |
2dccde7f0ed84de32809be6c6530e765639459e4 | 692 | py | Python | setup.py | JohnnyHowe/Slow-Engine-Python | 4a9ac30fdfa3f60ac3099d2f559d9ff375e51787 | [
"MIT"
] | null | null | null | setup.py | JohnnyHowe/Slow-Engine-Python | 4a9ac30fdfa3f60ac3099d2f559d9ff375e51787 | [
"MIT"
] | null | null | null | setup.py | JohnnyHowe/Slow-Engine-Python | 4a9ac30fdfa3f60ac3099d2f559d9ff375e51787 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="example-pkg-YOUR-USERNAME-HERE", # Replace with your own username
version="0.0.1",
author="Example Author",
author_email="author@example.com",
description="A small example package",
lo... | 31.454545 | 75 | 0.67341 |
2dcce11600a48144cc6928ac683793c6f059f956 | 24,033 | py | Python | zerver/lib/test_helpers.py | stableapple/zulip | fdced1570f6908121f9e663280bc8460589ee1f6 | [
"Apache-2.0"
] | null | null | null | zerver/lib/test_helpers.py | stableapple/zulip | fdced1570f6908121f9e663280bc8460589ee1f6 | [
"Apache-2.0"
] | null | null | null | zerver/lib/test_helpers.py | stableapple/zulip | fdced1570f6908121f9e663280bc8460589ee1f6 | [
"Apache-2.0"
] | null | null | null | from contextlib import contextmanager
from typing import (
Any, Callable, Dict, Generator, Iterable, Iterator, List, Mapping,
Optional, Tuple, Union, IO, TypeVar, TYPE_CHECKING
)
from django.urls.resolvers import LocaleRegexURLResolver
from django.conf import settings
from django.test import override_settings
... | 39.463054 | 206 | 0.638414 |
2dccf187882c87687315822d60a83776ffeaee87 | 3,284 | py | Python | liualgotrader/models/gain_loss.py | TheSnoozer/LiuAlgoTrader | 5ad4e46db126698399d338c4488aa4983385c2d8 | [
"MIT"
] | null | null | null | liualgotrader/models/gain_loss.py | TheSnoozer/LiuAlgoTrader | 5ad4e46db126698399d338c4488aa4983385c2d8 | [
"MIT"
] | null | null | null | liualgotrader/models/gain_loss.py | TheSnoozer/LiuAlgoTrader | 5ad4e46db126698399d338c4488aa4983385c2d8 | [
"MIT"
] | null | null | null | from datetime import date
from pandas import DataFrame
from liualgotrader.common import config
from liualgotrader.common.database import fetch_as_dataframe
from liualgotrader.common.tlog import tlog
class GainLoss:
@classmethod
async def save(cls, df: DataFrame):
pool = config.db_conn_pool
... | 37.747126 | 144 | 0.48447 |
2dcd3b607838156d36fadeb37e753e13a8db630d | 101,178 | py | Python | google-cloud-sdk/platform/gsutil/gslib/command.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2017-11-29T18:52:27.000Z | 2017-11-29T18:52:27.000Z | google-cloud-sdk/.install/.backup/platform/gsutil/gslib/command.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/.install/.backup/platform/gsutil/gslib/command.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2020-07-25T12:09:01.000Z | 2020-07-25T12:09:01.000Z | # -*- coding: utf-8 -*-
# Copyright 2010 Google 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 require... | 43.724287 | 87 | 0.698383 |
2dcd7ff0d896c231a777fea73f40dde19446866a | 42,436 | py | Python | code_server/model/layers.py | Dragon-M-Ren/grad_code | d814b81adaec709d5dffd737f0c350953cc361fd | [
"Apache-2.0"
] | null | null | null | code_server/model/layers.py | Dragon-M-Ren/grad_code | d814b81adaec709d5dffd737f0c350953cc361fd | [
"Apache-2.0"
] | null | null | null | code_server/model/layers.py | Dragon-M-Ren/grad_code | d814b81adaec709d5dffd737f0c350953cc361fd | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import scipy.sparse as sp
from .layer_utils import *
import numpy as np
class BaseLayer(object):
def __init__(self,
input_dim, output_dim,
activation_func,
name,
dropout_prob = None,
bias = False,
... | 34.11254 | 108 | 0.545127 |
2dcd87c203323e9d4ab17013ed8478f0cba2bb4a | 2,045 | py | Python | backend/factories/elections.py | heidal/apollo | 576743e12048985ae8ef127224e1cb8ac49acd28 | [
"MIT"
] | 2 | 2020-02-28T16:24:55.000Z | 2020-03-27T17:12:50.000Z | backend/factories/elections.py | heidal/apollo | 576743e12048985ae8ef127224e1cb8ac49acd28 | [
"MIT"
] | 51 | 2020-02-12T20:52:08.000Z | 2022-02-27T00:23:20.000Z | backend/factories/elections.py | heidal/apollo | 576743e12048985ae8ef127224e1cb8ac49acd28 | [
"MIT"
] | null | null | null | import operator
import factory.fuzzy
from apollo.elections.models import Election, Question, Vote, Answer
from apollo.elections.models.election import VoterAuthorizationRule
from factories.users import UserFactory
class ElectionFactory(factory.django.DjangoModelFactory):
class Meta:
model = Election
... | 26.907895 | 80 | 0.70709 |
2dcd887d3ccb53bb61563d1898d71e0c03917f30 | 2,524 | py | Python | sf6/sf6.py | marshallmcdonnell/ase-scripts | 2de692304fed32b7132275b5a51c307b5797fc55 | [
"MIT"
] | null | null | null | sf6/sf6.py | marshallmcdonnell/ase-scripts | 2de692304fed32b7132275b5a51c307b5797fc55 | [
"MIT"
] | null | null | null | sf6/sf6.py | marshallmcdonnell/ase-scripts | 2de692304fed32b7132275b5a51c307b5797fc55 | [
"MIT"
] | null | null | null | """Get energy from a LAMMPS calculation"""
from __future__ import print_function
from ase import units
from ase.calculators.lammpslib import LAMMPSlib, write_lammps_data
from ase.neighborlist import NeighborList
from ase.md.velocitydistribution import MaxwellBoltzmannDistribution
from ase.io.trajectory import Trajec... | 29.694118 | 92 | 0.590333 |
2dce00e56fcfad2d70fd8ef4085822468eb04aee | 3,592 | py | Python | sktime/utils/validation/series_as_features.py | brettkoonce/sktime | 6336247bad0dac8692aa4b911c267f401dea4163 | [
"BSD-3-Clause"
] | 2 | 2020-10-05T12:17:41.000Z | 2020-10-19T08:57:50.000Z | sktime/utils/validation/series_as_features.py | brettkoonce/sktime | 6336247bad0dac8692aa4b911c267f401dea4163 | [
"BSD-3-Clause"
] | 2 | 2020-04-20T12:26:42.000Z | 2020-04-22T17:09:14.000Z | sktime/utils/validation/series_as_features.py | brettkoonce/sktime | 6336247bad0dac8692aa4b911c267f401dea4163 | [
"BSD-3-Clause"
] | 1 | 2022-02-14T18:19:01.000Z | 2022-02-14T18:19:01.000Z | __author__ = ["Markus Löning"]
__all__ = [
"check_X",
"check_y",
"check_X_y",
"_enforce_X_univariate",
"_enforce_min_instances"
]
import numpy as np
import pandas as pd
from sklearn.utils.validation import check_consistent_length
def check_X(X, enforce_univariate=False, enforce_min_instances=1):
... | 24.60274 | 75 | 0.616091 |
2dce1377a5117aec30db1dfd28195ef0b2a4c85c | 995 | py | Python | zookeeper/core/task_test.py | AdamHillier/zookeeper | f9a2c19d429bf61a3bc64dc51ba942872b22c5a1 | [
"Apache-2.0"
] | 4 | 2019-05-30T17:07:28.000Z | 2019-07-07T14:01:29.000Z | zookeeper/core/task_test.py | AdamHillier/zookeeper | f9a2c19d429bf61a3bc64dc51ba942872b22c5a1 | [
"Apache-2.0"
] | 58 | 2020-10-15T06:39:46.000Z | 2022-03-29T12:05:45.000Z | zookeeper/core/task_test.py | AdamHillier/zookeeper | f9a2c19d429bf61a3bc64dc51ba942872b22c5a1 | [
"Apache-2.0"
] | 1 | 2019-06-02T17:01:13.000Z | 2019-06-02T17:01:13.000Z | import pytest
from zookeeper.core.task import task
def test_with_argumentless_run():
"""Tasks with argument-less `run` should not cause errors."""
@task
class T1:
def run(self):
pass
@task
class T2:
@classmethod
def run(cls):
pass
@task
c... | 19.134615 | 93 | 0.561809 |
2dce31513a8a87690b065b58fdd470381ab0f2b6 | 1,154 | py | Python | {{cookiecutter.project_slug}}/tests/test_{{cookiecutter.project_slug}}.py | bird-house/cookiecutter-birdhouse | cbf3626fd8bc465a7cb3197f1cdc5e1282344fa3 | [
"BSD-3-Clause"
] | 3 | 2019-04-17T11:26:20.000Z | 2021-06-15T17:21:12.000Z | {{cookiecutter.project_slug}}/tests/test_{{cookiecutter.project_slug}}.py | bird-house/cookiecutter-birdhouse | cbf3626fd8bc465a7cb3197f1cdc5e1282344fa3 | [
"BSD-3-Clause"
] | 85 | 2018-02-20T19:05:04.000Z | 2022-02-23T11:26:23.000Z | {{cookiecutter.project_slug}}/tests/test_{{cookiecutter.project_slug}}.py | bird-house/cookiecutter-birdhouse | cbf3626fd8bc465a7cb3197f1cdc5e1282344fa3 | [
"BSD-3-Clause"
] | 3 | 2018-06-15T11:58:51.000Z | 2022-02-21T13:55:28.000Z | #!/usr/bin/env python
"""Tests for `{{ cookiecutter.project_slug }}` package."""
{% if cookiecutter.use_pytest == 'y' -%}
import pytest
{% else %}
import unittest
{%- endif %}
from click.testing import CliRunner
import {{ cookiecutter.project_slug }}
from {{ cookiecutter.project_slug }} import cli
{%- if cookiecutt... | 25.086957 | 78 | 0.666378 |
2dce32530310e586f742cc31bfbc7ec806908e25 | 23,341 | py | Python | tests/notice_sxs_tests.py | cfpb/regulations-parser | 9b6e1ab2dbec93a915eb6da9a2d88c723b9ac424 | [
"CC0-1.0"
] | 36 | 2015-01-05T21:17:36.000Z | 2020-04-28T21:02:55.000Z | tests/notice_sxs_tests.py | DalavanCloud/regulations-parser | 9b6e1ab2dbec93a915eb6da9a2d88c723b9ac424 | [
"CC0-1.0"
] | 49 | 2015-01-28T15:54:25.000Z | 2018-08-20T20:20:08.000Z | tests/notice_sxs_tests.py | DalavanCloud/regulations-parser | 9b6e1ab2dbec93a915eb6da9a2d88c723b9ac424 | [
"CC0-1.0"
] | 23 | 2015-01-28T15:34:18.000Z | 2021-02-20T10:53:34.000Z | # vim: set encoding=utf-8
from lxml import etree
from regparser.notice import sxs
from unittest import TestCase
class NoticeSxsTests(TestCase):
def test_find_page(self):
xml = """<ROOT>
<P />
Text
<P />
<PRTPAGE P="333" />
<P />
<PRTP... | 40.382353 | 78 | 0.524014 |
2dce4b94ad28438f94a138e52c010db2afe7c5e4 | 17,734 | py | Python | pcdet/models/dense_heads/anchor_head_single_context_fpn_weak.py | zhangweichen2006/SRDAN_Open | 47c1bd9d2369d8e486b18a7aea220af7324c9011 | [
"Apache-2.0"
] | 8 | 2021-06-23T02:06:56.000Z | 2022-03-18T08:34:32.000Z | pcdet/models/dense_heads/anchor_head_single_context_fpn_weak.py | zhangweichen2006/SRDAN_Open | 47c1bd9d2369d8e486b18a7aea220af7324c9011 | [
"Apache-2.0"
] | 2 | 2021-07-17T11:19:14.000Z | 2021-09-25T03:30:36.000Z | pcdet/models/dense_heads/anchor_head_single_context_fpn_weak.py | zhangweichen2006/SRDAN_Open | 47c1bd9d2369d8e486b18a7aea220af7324c9011 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from .anchor_head_template import AnchorHeadTemplate
class GradReverse(torch.autograd.Function):
def __init__(self, lambd):
self.lambd = lambd
def forward(self, x):
return x.view_as(x)
def backward(self... | 43.572482 | 191 | 0.565749 |
2dce600bbb6adae09a7615ce26afc0af13bf3cef | 4,758 | py | Python | test/vanilla/legacy/AcceptanceTests/test_number.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/vanilla/legacy/AcceptanceTests/test_number.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/vanilla/legacy/AcceptanceTests/test_number.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""),... | 38.064 | 100 | 0.715006 |
2dcea292a3a31f6630df9753368b2b1cddadfc0a | 1,840 | py | Python | hutch_python/exp_load.py | ZryletTC/hutch-python | f0975c17ce3d773688af0dcc68fe57dc94b42518 | [
"BSD-3-Clause-LBNL"
] | null | null | null | hutch_python/exp_load.py | ZryletTC/hutch-python | f0975c17ce3d773688af0dcc68fe57dc94b42518 | [
"BSD-3-Clause-LBNL"
] | null | null | null | hutch_python/exp_load.py | ZryletTC/hutch-python | f0975c17ce3d773688af0dcc68fe57dc94b42518 | [
"BSD-3-Clause-LBNL"
] | null | null | null | import logging
from importlib import import_module
from types import SimpleNamespace
from . import utils
logger = logging.getLogger(__name__)
def get_exp_objs(exp_module, *, ask_on_failure=True):
"""
Load the correct experiment module.
This will import User from ``experiments.{exp_module}``
and cre... | 32.857143 | 79 | 0.617391 |
2dceaa86dc296e5a44715e0d50f6a87ace17a504 | 1,688 | py | Python | upscale.py | jlfilho/api-srvideo-rtmp | 2aaefd4b976f1f8067739a47b11c16dc5b8fddc6 | [
"MIT"
] | null | null | null | upscale.py | jlfilho/api-srvideo-rtmp | 2aaefd4b976f1f8067739a47b11c16dc5b8fddc6 | [
"MIT"
] | null | null | null | upscale.py | jlfilho/api-srvideo-rtmp | 2aaefd4b976f1f8067739a47b11c16dc5b8fddc6 | [
"MIT"
] | null | null | null | import argparse
import ffmpeg
import sys
import numpy as np
import subprocess
from model import create_model, sr_genarator
from util import scale_lr_imgs, unscale_hr_imgs, payloader_pre, payloader_pos
from util import start_ffmpeg_reader, start_ffmpeg_writer
from util import get_video_size, read_frame, return_seg,... | 27.225806 | 79 | 0.621445 |
2dcecd437d95eeea9d028984e5f7cbe4248b7420 | 130 | py | Python | varnish/datadog_checks/varnish/__about__.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 2 | 2019-04-03T17:21:38.000Z | 2020-02-04T16:28:05.000Z | varnish/datadog_checks/varnish/__about__.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 10 | 2018-02-27T19:06:07.000Z | 2021-08-30T03:23:26.000Z | varnish/datadog_checks/varnish/__about__.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 6 | 2018-01-09T21:37:20.000Z | 2020-05-26T09:28:09.000Z | # (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
__version__ = "1.2.1"
| 21.666667 | 59 | 0.707692 |
2dcf062671a6fcf536471c0fbaf637433690360f | 309 | py | Python | Source/Oyooni/Text Recognition/testOCR.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | Source/Oyooni/Text Recognition/testOCR.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | Source/Oyooni/Text Recognition/testOCR.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | import cv2
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r'C:/Program Files/Tesseract-OCR/tesseract.exe'
#image path
imgUrl=r'C:/Users/abdq9/Desktop/test.jpg'
img=cv2.imread(imgUrl)
custom_config = r'--oem 3 --psm 6'
text = pytesseract.image_to_string(img,config=custom_config, lang= 'ara+eng') | 30.9 | 87 | 0.783172 |
2dcf0cb046463524bee4620b660aaa0279952766 | 7,689 | py | Python | exp2/exp2_0b.py | Haunter17/MIR_SU17 | 0eaefb8cab78ca896c1ed0074892c296110eb161 | [
"MIT"
] | null | null | null | exp2/exp2_0b.py | Haunter17/MIR_SU17 | 0eaefb8cab78ca896c1ed0074892c296110eb161 | [
"MIT"
] | 5 | 2017-05-22T20:32:07.000Z | 2017-06-02T21:06:23.000Z | exp2/exp2_0b.py | Haunter17/MIR_SU17 | 0eaefb8cab78ca896c1ed0074892c296110eb161 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
import h5py
import time
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
# Functions for initializing neural nets parameters
def init_weight_variable(shape):
initial = tf.truncated_normal(shape, stddev=0.1, dtype=tf.float32)
return tf.Variable(initia... | 34.479821 | 166 | 0.680453 |
2dcf27dff29b34acad3758b61cc1409c48d8574c | 1,660 | py | Python | section2 - Copy/src/run_ml_pipeline.py | root-dh-94/Hippocampal-Volume-Quantification-in-Alzheimer-s-Progression | 6aba08ba44248af08efb5c19b5f95d3643a025f4 | [
"MIT"
] | null | null | null | section2 - Copy/src/run_ml_pipeline.py | root-dh-94/Hippocampal-Volume-Quantification-in-Alzheimer-s-Progression | 6aba08ba44248af08efb5c19b5f95d3643a025f4 | [
"MIT"
] | null | null | null | section2 - Copy/src/run_ml_pipeline.py | root-dh-94/Hippocampal-Volume-Quantification-in-Alzheimer-s-Progression | 6aba08ba44248af08efb5c19b5f95d3643a025f4 | [
"MIT"
] | null | null | null | """
This file contains code that will kick off training and testing processes
"""
import os
import json
from experiments.UNetExperiment import UNetExperiment
from data_prep.HippocampusDatasetLoader import LoadHippocampusData
from sklearn.model_selection import train_test_split
class Config:
"""
Holds configur... | 23.055556 | 90 | 0.654217 |
2dcf30f8fe149846d27fcb6ae8fba9ebcbb271a2 | 108 | py | Python | core/threatlevels.py | ChrisLR/BasicDungeonRL | b293d40bd9a0d3b7aec41b5e1d58441165997ff1 | [
"MIT"
] | 3 | 2017-10-28T11:28:38.000Z | 2018-09-12T09:47:00.000Z | core/threatlevels.py | ChrisLR/BasicDungeonRL | b293d40bd9a0d3b7aec41b5e1d58441165997ff1 | [
"MIT"
] | null | null | null | core/threatlevels.py | ChrisLR/BasicDungeonRL | b293d40bd9a0d3b7aec41b5e1d58441165997ff1 | [
"MIT"
] | null | null | null | from enum import Enum
class ThreatLevel(Enum):
Minor = 0
Major = 1
Critical = 2
Fatal = 3
| 12 | 24 | 0.601852 |
2dcf4f433e3bcc3caf9d7f997fc638a80a76520f | 3,516 | py | Python | tests/unit/modules/rvm_test.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2015-10-06T22:25:22.000Z | 2015-10-06T22:25:22.000Z | tests/unit/modules/rvm_test.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | tests/unit/modules/rvm_test.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2020-12-04T11:28:06.000Z | 2020-12-04T11:28:06.000Z | import sys
import os
sys.path.insert(
0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')))
from saltunittest import TestCase, TestLoader, TextTestRunner, skipIf
try:
from mock import MagicMock, patch
has_mock = True
except ImportError:
has_mock = False
if has_mock:
import salt.... | 28.128 | 78 | 0.569397 |
2dcf51d0aa648c782e2be3635164c9b31652153a | 2,338 | py | Python | src/toil/test/lib/test_ec2.py | Hexotical/toil | 312b6e1f221ee7f7f187dd6dbfce1aecffd00e09 | [
"Apache-2.0"
] | 348 | 2018-07-08T03:38:28.000Z | 2022-03-11T18:57:44.000Z | src/toil/test/lib/test_ec2.py | Hexotical/toil | 312b6e1f221ee7f7f187dd6dbfce1aecffd00e09 | [
"Apache-2.0"
] | 1,700 | 2018-07-05T18:28:49.000Z | 2022-03-31T14:09:04.000Z | src/toil/test/lib/test_ec2.py | Hexotical/toil | 312b6e1f221ee7f7f187dd6dbfce1aecffd00e09 | [
"Apache-2.0"
] | 126 | 2018-07-11T18:59:29.000Z | 2022-01-24T03:14:02.000Z | # Copyright (C) 2015-2021 Regents of the University of California
#
# 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... | 42.509091 | 99 | 0.696749 |
2dcf73464210faf258cbbebc148f4058ccd17e2c | 616 | py | Python | AlgorithmsPractice/python/01_simple_Two sum.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 58 | 2019-03-03T04:42:23.000Z | 2022-01-13T04:36:31.000Z | AlgorithmsPractice/python/01_simple_Two sum.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | null | null | null | AlgorithmsPractice/python/01_simple_Two sum.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 28 | 2019-08-11T01:25:00.000Z | 2021-08-22T06:46:06.000Z | # 2018-6-12
# Two sum
class Solution(object):
def twoSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
result = []
leng = len(nums)
i = 0
while i < leng - 1:
j = i + 1
while j < l... | 22.814815 | 47 | 0.409091 |
2dcf82c61db9cafc8e7b67044f5c188a87a967d7 | 109 | py | Python | jupylint/__init__.py | EdmundGoodman/Jupyter_Pylinter | d24d210e06a8c0a8e8734da02e95a119d5ad70ee | [
"MIT"
] | 5 | 2021-10-30T17:05:48.000Z | 2022-03-31T02:10:56.000Z | jupylint/__init__.py | EdmundGoodman/Jupyter_Pylinter | d24d210e06a8c0a8e8734da02e95a119d5ad70ee | [
"MIT"
] | 3 | 2021-10-31T14:40:39.000Z | 2021-11-24T21:23:01.000Z | jupylint/__init__.py | EdmundGoodman/Jupyter_Pylinter | d24d210e06a8c0a8e8734da02e95a119d5ad70ee | [
"MIT"
] | 1 | 2021-11-24T21:24:30.000Z | 2021-11-24T21:24:30.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from .jupylint import Jupylint, OldJupyterVersionError, main
| 21.8 | 60 | 0.715596 |
2dcf9c837e28af15eda8cf54eeb17e25997b0570 | 28,683 | py | Python | Firmware/fibre/tools/interface_generator.py | rowanG077/ODrive | 431bf9116408691ec631f8286507f627e57b06d2 | [
"MIT"
] | 19 | 2018-09-08T09:51:54.000Z | 2020-10-02T06:52:26.000Z | Firmware/fibre/tools/interface_generator.py | rowanG077/ODrive | 431bf9116408691ec631f8286507f627e57b06d2 | [
"MIT"
] | 2 | 2019-06-30T05:35:29.000Z | 2020-06-25T16:41:18.000Z | Firmware/fibre/tools/interface_generator.py | rowanG077/ODrive | 431bf9116408691ec631f8286507f627e57b06d2 | [
"MIT"
] | 25 | 2019-02-09T13:39:27.000Z | 2020-09-04T03:03:29.000Z | #!/bin/python3
import yaml
import json
import jinja2
import jsonschema
import re
import argparse
import sys
from collections import OrderedDict
# This schema describes what we expect interface definition files to look like
validator = jsonschema.Draft4Validator(yaml.safe_load("""
definitions:
interface:
type: o... | 41.751092 | 215 | 0.612244 |
2dcfc1444fbc0bfe121dedd2c554c4a9b2de5844 | 2,887 | py | Python | sdk/communication/azure-communication-networktraversal/samples/network_traversal_samples_async.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/communication/azure-communication-networktraversal/samples/network_traversal_samples_async.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/communication/azure-communication-networktraversal/samples/network_traversal_samples_async.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # 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.
# --------------------------------------------------------------------... | 43.742424 | 104 | 0.700381 |
2dcfeba65d3c5327b881ac1ffe43fa5250be589b | 16,064 | py | Python | art/estimators/classification/query_efficient_bb.py | h3yin/ART-with-amortized-attacks | 11c541e49ddc7e3c6144acb6219652e5fd3b165d | [
"MIT"
] | null | null | null | art/estimators/classification/query_efficient_bb.py | h3yin/ART-with-amortized-attacks | 11c541e49ddc7e3c6144acb6219652e5fd3b165d | [
"MIT"
] | null | null | null | art/estimators/classification/query_efficient_bb.py | h3yin/ART-with-amortized-attacks | 11c541e49ddc7e3c6144acb6219652e5fd3b165d | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (C) The Adversarial Robustness Toolbox (ART) Authors 2018
#
# 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
# r... | 43.771117 | 120 | 0.605702 |
2dcffb7227af313429f85eeee4848a454f3998b1 | 508 | py | Python | main/migrations/0033_post_title_el.py | OKThess/website | 3d5a2a125bfb48179937b058aa7180b751eb2b43 | [
"MIT"
] | 5 | 2017-08-25T16:37:18.000Z | 2019-02-25T18:26:37.000Z | main/migrations/0033_post_title_el.py | OKThess/website | 3d5a2a125bfb48179937b058aa7180b751eb2b43 | [
"MIT"
] | 43 | 2017-01-22T23:58:43.000Z | 2018-05-17T21:35:16.000Z | main/migrations/0033_post_title_el.py | OKThess/website | 3d5a2a125bfb48179937b058aa7180b751eb2b43 | [
"MIT"
] | 2 | 2017-11-05T08:36:02.000Z | 2017-12-22T17:37:19.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-26 14:04
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0032_auto_20170926_1344'),
]
operations = [
migrations.AddField(
... | 23.090909 | 76 | 0.61811 |
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