hexsha stringlengths 40 40 | size int64 3 1.03M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 972 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 972 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 972 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 3 1.03M | avg_line_length float64 1.13 941k | max_line_length int64 2 941k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0c8d67b72bebab14d679478ded74697c6f36da24 | 144,052 | py | Python | cinder/tests/unit/volume/drivers/vmware/test_vmware_vmdk.py | traghavendra/cinder-train | 49af592c61da3216c04f5771b8ebf0927c5ce1c8 | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/volume/drivers/vmware/test_vmware_vmdk.py | traghavendra/cinder-train | 49af592c61da3216c04f5771b8ebf0927c5ce1c8 | [
"Apache-2.0"
] | 1 | 2021-03-31T19:22:03.000Z | 2021-03-31T19:22:03.000Z | cinder/tests/unit/volume/drivers/vmware/test_vmware_vmdk.py | alokchandra11/cinder | 121d9f512b4a6d1afe6a690effb7c2b379040a7b | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 VMware, 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... | 43.705097 | 79 | 0.662545 |
748ebce56d353cd40c4d6fe0e7b26b10e22de5d3 | 6,616 | py | Python | dreampylib.py | michaelndn/dreampylib | d1448007c45d41a6cd6bf4be5c23da4dc2c8dff3 | [
"Apache-2.0"
] | 1 | 2018-10-28T10:33:31.000Z | 2018-10-28T10:33:31.000Z | dreampylib.py | michaelndn/dreampylib | d1448007c45d41a6cd6bf4be5c23da4dc2c8dff3 | [
"Apache-2.0"
] | null | null | null | dreampylib.py | michaelndn/dreampylib | d1448007c45d41a6cd6bf4be5c23da4dc2c8dff3 | [
"Apache-2.0"
] | null | null | null | # Dreampylib - version 1.0
# (c) 2009 by Laurens Simonis
# See licence.txt for licencing info
# updated 2013 by Michael Rodriguez
# UUID is needed to generate a nice random uuid for dreamhost
import uuid
import urllib, urllib2
DEBUG = False
defaultReturnType = 'dict'
class _RemoteCommand(object):
# some magic t... | 29.145374 | 91 | 0.53416 |
9427f8153b079c6d85d57e14059db811942f0647 | 8,085 | py | Python | optics/work_407/work_407_window.py | Zelenyy/python-optics-lab | 01c40f185c9de06ccdb907370df3d35403527336 | [
"MIT"
] | 4 | 2020-04-07T06:21:40.000Z | 2020-05-20T17:07:18.000Z | optics/work_407/work_407_window.py | TopCoder2K/python-optics-lab | 0c31777f3cd49ed47991381fafe502e1d65816e9 | [
"MIT"
] | null | null | null | optics/work_407/work_407_window.py | TopCoder2K/python-optics-lab | 0c31777f3cd49ed47991381fafe502e1d65816e9 | [
"MIT"
] | 1 | 2020-04-22T06:46:29.000Z | 2020-04-22T06:46:29.000Z | import numpy as np
from PyQt5.QtWidgets import QMainWindow, QWidget, QVBoxLayout, QHBoxLayout, QLayout, QGroupBox, QCheckBox, QSpinBox, \
QFormLayout, QPushButton, QDoubleSpinBox, QLabel
from matplotlib.backends.qt_compat import is_pyqt5
from matplotlib.figure import Figure
from matplotlib.ticker import MultipleLoc... | 33 | 118 | 0.628077 |
93da62791df4f3389e731cef910323fae565e417 | 20,357 | py | Python | Codes/Python32/Lib/http/cookies.py | eyantra/FireBird_Swiss_Knife | cac322cf28e2d690b86ba28a75e87551e5e47988 | [
"MIT"
] | 319 | 2016-09-22T15:54:48.000Z | 2022-03-18T02:36:58.000Z | Codes/Python32/Lib/http/cookies.py | eyantra/FireBird_Swiss_Knife | cac322cf28e2d690b86ba28a75e87551e5e47988 | [
"MIT"
] | 9 | 2016-11-03T21:56:41.000Z | 2020-08-09T19:27:37.000Z | Codes/Python32/Lib/http/cookies.py | eyantra/FireBird_Swiss_Knife | cac322cf28e2d690b86ba28a75e87551e5e47988 | [
"MIT"
] | 27 | 2016-10-06T16:05:32.000Z | 2022-03-18T02:37:00.000Z | #!/usr/bin/env python3
#
####
# Copyright 2000 by Timothy O'Malley <timo@alum.mit.edu>
#
# All Rights Reserved
#
# Permission to use, copy, modify, and distribute this software
# and its documentation for any purpose and without fee is hereby
# granted, provided that the above copyright notice appear in... | 35.589161 | 80 | 0.5462 |
f26c8e58cccd7591550c10ba23bb21ee124b1057 | 4,960 | py | Python | lldb/test/API/commands/watchpoints/step_over_watchpoint/TestStepOverWatchpoint.py | rarutyun/llvm | 76fa6b3bcade074bdedef740001c4528e1aa08a8 | [
"Apache-2.0"
] | 305 | 2019-09-14T17:16:05.000Z | 2022-03-31T15:05:20.000Z | lldb/test/API/commands/watchpoints/step_over_watchpoint/TestStepOverWatchpoint.py | rarutyun/llvm | 76fa6b3bcade074bdedef740001c4528e1aa08a8 | [
"Apache-2.0"
] | 410 | 2019-06-06T20:52:32.000Z | 2022-01-18T14:21:48.000Z | lldb/test/API/commands/watchpoints/step_over_watchpoint/TestStepOverWatchpoint.py | rarutyun/llvm | 76fa6b3bcade074bdedef740001c4528e1aa08a8 | [
"Apache-2.0"
] | 50 | 2019-05-10T21:12:24.000Z | 2022-01-21T06:39:47.000Z | """Test stepping over watchpoints."""
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
class TestStepOverWatchpoint(TestBase):
mydir = TestBase.compute_mydir(__file__)
NO_DEBUG_INFO_TESTCASE = True
@expectedFailureAll(
... | 41.333333 | 153 | 0.623589 |
dd43d33e8f1e58b523c9d7096339c814478b0217 | 38,246 | py | Python | FilmSetBuilder/__init__.py | ajaybhaga/blender-addon-filmsetbuilder | 8f2572b230f01705fb3c249bb031d86540f4de83 | [
"MIT"
] | 4 | 2021-09-01T03:16:05.000Z | 2021-09-08T14:58:21.000Z | FilmSetBuilder/__init__.py | ajaybhaga/blender-addon-filmsetbuilder | 8f2572b230f01705fb3c249bb031d86540f4de83 | [
"MIT"
] | null | null | null | FilmSetBuilder/__init__.py | ajaybhaga/blender-addon-filmsetbuilder | 8f2572b230f01705fb3c249bb031d86540f4de83 | [
"MIT"
] | null | null | null | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 35.152574 | 152 | 0.536762 |
de3f9a7f5790f0495788bf2dfad02e020d9c9b43 | 2,402 | py | Python | plugin/CustomerSupportArchive/Lane_Diagnostics/tools/adc.py | iontorrent/TS | 7591590843c967435ee093a3ffe9a2c6dea45ed8 | [
"Apache-2.0"
] | 125 | 2015-01-22T05:43:23.000Z | 2022-03-22T17:15:59.000Z | plugin/CustomerSupportArchive/NucStepSpatialV2/tools/adc.py | iontorrent/TS | 7591590843c967435ee093a3ffe9a2c6dea45ed8 | [
"Apache-2.0"
] | 59 | 2015-02-10T09:13:06.000Z | 2021-11-11T02:32:38.000Z | plugin/CustomerSupportArchive/Lane_Diagnostics/tools/adc.py | iontorrent/TS | 7591590843c967435ee093a3ffe9a2c6dea45ed8 | [
"Apache-2.0"
] | 98 | 2015-01-17T01:25:10.000Z | 2022-03-18T17:29:42.000Z | """
Contains helpful functions to unravel or ravel chip data between physical columns and per-adc quasi-columns.
"""
import numpy as np
def block_reshape( data, blocksize ):
''' Reshapes the 2D data into 3D data, with the 3rd dimension being adjacent pixels '''
rows, cols = data.shape
numR = rows/blocksiz... | 42.140351 | 119 | 0.618235 |
0a83b0f192f8ae0b243051eb123c961cac04032e | 16,014 | py | Python | volta/volta/train_utils.py | e-bug/cross-modal-ablation | 130288670e3d898179998c2d727c5b8e82e49b60 | [
"MIT"
] | 17 | 2021-09-12T07:20:07.000Z | 2022-01-17T06:45:22.000Z | volta/volta/train_utils.py | e-bug/cross-modal-ablation | 130288670e3d898179998c2d727c5b8e82e49b60 | [
"MIT"
] | null | null | null | volta/volta/train_utils.py | e-bug/cross-modal-ablation | 130288670e3d898179998c2d727c5b8e82e49b60 | [
"MIT"
] | 2 | 2021-10-08T12:04:16.000Z | 2022-03-09T08:30:40.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020, Emanuele Bugliarello (@e-bug).
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import logging
from io import open
from tensorboardX import SummaryWriter
impor... | 46.961877 | 146 | 0.642625 |
669b85a63f2892044ea8c40315bca4a8f053453c | 4,661 | py | Python | tests/test_mbgdml_predict.py | keithgroup/mbGDML | a68b2a41c26c8e7e8e2f4527939c4564402f36bc | [
"MIT"
] | 6 | 2020-08-03T03:44:33.000Z | 2022-02-24T21:50:03.000Z | tests/test_mbgdml_predict.py | keithgroup/mbGDML | a68b2a41c26c8e7e8e2f4527939c4564402f36bc | [
"MIT"
] | null | null | null | tests/test_mbgdml_predict.py | keithgroup/mbGDML | a68b2a41c26c8e7e8e2f4527939c4564402f36bc | [
"MIT"
] | 1 | 2022-02-25T03:03:40.000Z | 2022-02-25T03:03:40.000Z | #!/usr/bin/env python
# MIT License
#
# Copyright (c) 2020-2021, Alex M. Maldonado
#
# 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 ri... | 42.761468 | 98 | 0.625617 |
1a13ff100a6ba7f2c407d2a7cf0ac2a442f0cf67 | 17,600 | py | Python | librosa/core/notation.py | jyun25/librosa | a297cac125175afe57fccbf5eecb65b79d088181 | [
"0BSD"
] | 4,795 | 2016-05-12T04:39:33.000Z | 2022-03-30T21:34:30.000Z | librosa/core/notation.py | jyun25/librosa | a297cac125175afe57fccbf5eecb65b79d088181 | [
"0BSD"
] | 1,110 | 2016-05-12T16:56:48.000Z | 2022-03-31T19:26:42.000Z | librosa/core/notation.py | jyun25/librosa | a297cac125175afe57fccbf5eecb65b79d088181 | [
"0BSD"
] | 919 | 2016-05-12T09:17:06.000Z | 2022-03-27T07:09:19.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Music notation utilities"""
import re
import numpy as np
from .._cache import cache
from ..util.exceptions import ParameterError
__all__ = [
"key_to_degrees",
"key_to_notes",
"mela_to_degrees",
"mela_to_svara",
"thaat_to_degrees",
"list_mela",
... | 25.360231 | 89 | 0.509545 |
314da09607550dc6e8552b044bfc1ac0aed88356 | 259 | py | Python | accounting_app/accounting_app/doctype/purchase_invoice/purchase_invoice.py | nidhipurohit11/Accounting-App | e35dfef3720efab92e72ade91d9ef457f02ea4fe | [
"MIT"
] | 2 | 2021-06-02T08:01:59.000Z | 2021-12-21T04:56:27.000Z | accounting_app/accounting_app/doctype/purchase_invoice/purchase_invoice.py | nidhipurohit11/Accounting-App | e35dfef3720efab92e72ade91d9ef457f02ea4fe | [
"MIT"
] | null | null | null | accounting_app/accounting_app/doctype/purchase_invoice/purchase_invoice.py | nidhipurohit11/Accounting-App | e35dfef3720efab92e72ade91d9ef457f02ea4fe | [
"MIT"
] | 2 | 2021-06-02T08:01:59.000Z | 2021-08-23T10:06:30.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2021, Nidhi and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
from frappe.model.document import Document
class PurchaseInvoice(Document):
pass
| 23.545455 | 49 | 0.776062 |
3b077bdea13188917c4591a6aed2b68fc01e9fc1 | 342 | py | Python | opentelemetry-sdk/src/opentelemetry/sdk/_metrics/sdk_configuration.py | thedrow/opentelemetry-python | a659966b950ed055f270e8700f9e39e36e5c4eda | [
"Apache-2.0"
] | null | null | null | opentelemetry-sdk/src/opentelemetry/sdk/_metrics/sdk_configuration.py | thedrow/opentelemetry-python | a659966b950ed055f270e8700f9e39e36e5c4eda | [
"Apache-2.0"
] | null | null | null | opentelemetry-sdk/src/opentelemetry/sdk/_metrics/sdk_configuration.py | thedrow/opentelemetry-python | a659966b950ed055f270e8700f9e39e36e5c4eda | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
from typing import Sequence
from opentelemetry.sdk._metrics.metric_reader import MetricReader
from opentelemetry.sdk.resources import Resource
@dataclass
class SdkConfiguration:
resource: Resource
# TODO: once views are added
# views: Sequence[View]
metric_readers: S... | 24.428571 | 65 | 0.80117 |
099aa3c0ea5c2ee6be77e5b358081c3ec474ab4b | 9,055 | py | Python | train_sentiment.py | HLTCHKUST/sentiment-lookahead | 1c076b7c5c31b0f7c454720377db4e733838ebb2 | [
"MIT"
] | 13 | 2020-02-19T03:33:37.000Z | 2021-11-30T07:35:39.000Z | train_sentiment.py | HLTCHKUST/sentiment_lookahead | 1c076b7c5c31b0f7c454720377db4e733838ebb2 | [
"MIT"
] | 2 | 2020-10-14T01:59:55.000Z | 2021-05-03T12:18:07.000Z | train_sentiment.py | HLTCHKUST/sentiment_lookahead | 1c076b7c5c31b0f7c454720377db4e733838ebb2 | [
"MIT"
] | 1 | 2020-06-17T16:27:36.000Z | 2020-06-17T16:27:36.000Z | import os
import math
import random
import numpy as np
from sklearn.metrics import f1_score
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_pretrained_bert.optimization import BertAdam
from utils import constant, masked_cross_entropy
from utils.bleu import moses_... | 37.417355 | 142 | 0.564108 |
0fcc8436befac877fd08225ab4c8a7b9b58ebd30 | 2,159 | py | Python | test.py | PanPapag/Context-Aware-Crowd-Counting | 66a7f10c8e232d8b1f98389c240ba55b7b1d1297 | [
"MIT"
] | 5 | 2020-11-22T08:07:22.000Z | 2021-01-13T09:30:15.000Z | test.py | PanPapag/Context-Aware-Crowd-Counting | 66a7f10c8e232d8b1f98389c240ba55b7b1d1297 | [
"MIT"
] | 1 | 2021-03-04T10:32:26.000Z | 2021-03-04T10:32:26.000Z | test.py | PanPapag/Context-Aware-Crowd-Counting | 66a7f10c8e232d8b1f98389c240ba55b7b1d1297 | [
"MIT"
] | null | null | null | import argparse
import os
import matplotlib.pyplot as plt
import matplotlib.cm as CM
import torch
import torch.nn as nn
from torchvision import transforms
from model import CANNet
from dataset import ShanghaiTechPartA
def make_args_parser():
# create an ArgumentParser object
parser = argparse.ArgumentParser... | 37.877193 | 88 | 0.622974 |
ef6319b8f8bbaa62dd36532865bb6043aab2b16f | 5,964 | py | Python | ocs_ci/ocs/ui/validation_ui.py | keemano/ocs-ci | 643ce73aceef3f92b695fda1bafdea83f6fb0402 | [
"MIT"
] | null | null | null | ocs_ci/ocs/ui/validation_ui.py | keemano/ocs-ci | 643ce73aceef3f92b695fda1bafdea83f6fb0402 | [
"MIT"
] | null | null | null | ocs_ci/ocs/ui/validation_ui.py | keemano/ocs-ci | 643ce73aceef3f92b695fda1bafdea83f6fb0402 | [
"MIT"
] | null | null | null | import logging
from ocs_ci.ocs.ui.base_ui import PageNavigator
from ocs_ci.ocs.ui.views import locators
from ocs_ci.utility.utils import get_ocp_version, TimeoutSampler
from ocs_ci.framework import config
from ocs_ci.ocs import constants
logger = logging.getLogger(__name__)
class ValidationUI(PageNavigator):
"... | 34.674419 | 88 | 0.635983 |
2a8b2ccc049d3be77d8050739266608491b2ff94 | 17,067 | py | Python | superset/views/utils.py | amitmiran137/incubator-superset | 8593a13f00754973117beb0a95e7aca7fec4b00e | [
"Apache-2.0"
] | 30 | 2020-10-24T02:30:31.000Z | 2022-03-29T23:21:48.000Z | superset/views/utils.py | amitmiran137/incubator-superset | 8593a13f00754973117beb0a95e7aca7fec4b00e | [
"Apache-2.0"
] | 4 | 2021-03-02T01:53:30.000Z | 2021-10-06T22:56:01.000Z | superset/views/utils.py | aerhuasi/superset | b4cd57b7bd2d87092ea50cfb2a38f27458195bf4 | [
"Apache-2.0"
] | 9 | 2020-12-21T16:20:20.000Z | 2022-03-18T06:04:37.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 34.478788 | 88 | 0.680553 |
0cd02843b299f94598bad77525945a9d1d44d1d9 | 36,377 | py | Python | source/gui/__init__.py | ruifontes/nvda | 8d8f60639e92627184151e2080052c7ec2730500 | [
"bzip2-1.0.6"
] | 1,592 | 2015-11-10T12:05:44.000Z | 2022-03-31T11:50:40.000Z | source/gui/__init__.py | ruifontes/nvda | 8d8f60639e92627184151e2080052c7ec2730500 | [
"bzip2-1.0.6"
] | 9,479 | 2015-11-10T20:56:48.000Z | 2022-03-31T23:51:30.000Z | source/gui/__init__.py | ruifontes/nvda | 8d8f60639e92627184151e2080052c7ec2730500 | [
"bzip2-1.0.6"
] | 682 | 2015-11-10T11:19:23.000Z | 2022-03-31T07:51:29.000Z | # -*- coding: UTF-8 -*-
# A part of NonVisual Desktop Access (NVDA)
# Copyright (C) 2006-2021 NV Access Limited, Peter Vágner, Aleksey Sadovoy, Mesar Hameed, Joseph Lee,
# Thomas Stivers, Babbage B.V., Accessolutions, Julien Cochuyt
# This file is covered by the GNU General Public License.
# See the file COPYING f... | 43.513158 | 351 | 0.74712 |
9da42c5d37e4e8b3e804f03b4aa0c97ec973371f | 2,745 | py | Python | PDFSentenceReader.py | Hicks48/pdf-word-analyzer | f903011070330e4bd999d0ecd25d95a887d92ec3 | [
"Unlicense"
] | null | null | null | PDFSentenceReader.py | Hicks48/pdf-word-analyzer | f903011070330e4bd999d0ecd25d95a887d92ec3 | [
"Unlicense"
] | 14 | 2020-01-28T21:47:59.000Z | 2022-03-11T23:23:50.000Z | PDFSentenceReader.py | Hicks48/pdf-word-analyzer | f903011070330e4bd999d0ecd25d95a887d92ec3 | [
"Unlicense"
] | null | null | null | from PDFTextReader import PDFTextReader
import re
class PDFSentenceReader:
def __init__(self):
self.temp_file = None
self.current_sentence = 0
self.current_character = 0
self.total_sentences = 0
def open(self, pdf_file_path, temp_file_path):
self._pdf_to_text(pdf_fil... | 27.45 | 136 | 0.614208 |
ab3b6e3081870eca0a0daca8d185c4c9a6075984 | 13,060 | py | Python | regression/trans_maml.py | MichalisLazarou/cavia | ce476f2e1bc7899ae309c9ae9f23d236eca12555 | [
"MIT"
] | null | null | null | regression/trans_maml.py | MichalisLazarou/cavia | ce476f2e1bc7899ae309c9ae9f23d236eca12555 | [
"MIT"
] | null | null | null | regression/trans_maml.py | MichalisLazarou/cavia | ce476f2e1bc7899ae309c9ae9f23d236eca12555 | [
"MIT"
] | null | null | null | """
Regression experiment using MAML
"""
import copy
import os
import time
import numpy as np
import scipy.stats as st
import torch
import torch.nn.functional as F
import torch.optim as optim
import utils
import tasks_sine, tasks_celebA
import maml_model as fsn
from logger import Logger
from maml_model import MamlMod... | 41.72524 | 131 | 0.617841 |
51cc815099bd7827c399b6b1856eea5b7496dd90 | 10,098 | py | Python | cogs/levelling.py | londarks/Athus-Discord-Bot | 720a8c0a2280077712b8d954e7d48dec366953dd | [
"MIT"
] | 3 | 2020-04-04T11:41:19.000Z | 2021-06-02T22:56:27.000Z | cogs/levelling.py | londarks/Athus-Discord-Bot | 720a8c0a2280077712b8d954e7d48dec366953dd | [
"MIT"
] | null | null | null | cogs/levelling.py | londarks/Athus-Discord-Bot | 720a8c0a2280077712b8d954e7d48dec366953dd | [
"MIT"
] | null | null | null | import sqlite3
import discord
from discord.ext import commands
import asyncio
import requests
from io import BytesIO
from PIL import Image, ImageDraw, ImageFont, ImageOps
import time
class Levelling(commands.Cog):
def __init__(self,client):
self.client = client
@commands.Cog.listener()
async def ... | 44.289474 | 315 | 0.561596 |
2783d608dc76fde706edd50b0b7aabce7fd79a5b | 1,048 | py | Python | bluebottle/assignments/migrations/0025_auto_20210301_1546.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 10 | 2015-05-28T18:26:40.000Z | 2021-09-06T10:07:03.000Z | bluebottle/assignments/migrations/0025_auto_20210301_1546.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 762 | 2015-01-15T10:00:59.000Z | 2022-03-31T15:35:14.000Z | bluebottle/assignments/migrations/0025_auto_20210301_1546.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 9 | 2015-02-20T13:19:30.000Z | 2022-03-08T14:09:17.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2021-03-01 14:46
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('activities', '0038_auto_20210127_1358'),
('assignments', '0024_auto_20201112_1519'),
]
... | 24.372093 | 51 | 0.549618 |
616b77414b2897b364e82c1eb234ea26f616fa8a | 634 | py | Python | backend/manage.py | crowdbotics-apps/chatlata-29726 | fcf979a4e31ed0178c5812b2bb074212fe84e072 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/manage.py | crowdbotics-apps/chatlata-29726 | fcf979a4e31ed0178c5812b2bb074212fe84e072 | [
"FTL",
"AML",
"RSA-MD"
] | 14 | 2021-08-15T17:12:39.000Z | 2022-01-23T17:02:34.000Z | backend/manage.py | crowdbotics-apps/chatlata-29726 | fcf979a4e31ed0178c5812b2bb074212fe84e072 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "chatlata_29726.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise... | 28.818182 | 78 | 0.68612 |
aa35d9e81b21c0295a186e99c055c0c3ac3855c9 | 2,891 | py | Python | jax3d/projects/nesf/utils/file_utils.py | google-research/jax3d | f08ae174c80cd6c597f8fe5417168c82857eb236 | [
"Apache-2.0"
] | 33 | 2021-12-15T12:59:28.000Z | 2022-03-30T05:29:09.000Z | jax3d/projects/nesf/utils/file_utils.py | google-research/jax3d | f08ae174c80cd6c597f8fe5417168c82857eb236 | [
"Apache-2.0"
] | 5 | 2021-12-15T15:15:03.000Z | 2021-12-15T17:25:27.000Z | jax3d/projects/nesf/utils/file_utils.py | google-research/jax3d | f08ae174c80cd6c597f8fe5417168c82857eb236 | [
"Apache-2.0"
] | 1 | 2022-01-29T18:30:02.000Z | 2022-01-29T18:30:02.000Z | # Copyright 2022 The jax3d Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 28.067961 | 90 | 0.72155 |
bfaa96effc6e882262eb89c8b2428ae275124bd1 | 9,798 | py | Python | mmdet/core/bbox/assigners/max_iou_assigner.py | Brym-Gyimah/mmdetection | d5d749afe57c77e2ec4500395faed3566fdfedae | [
"Apache-2.0"
] | 20,190 | 2018-09-10T01:11:53.000Z | 2022-03-31T22:31:33.000Z | mmdet/core/bbox/assigners/max_iou_assigner.py | Joker-co/mmdet_pro | 96abfd90cf0e38c5ce398795f949e9328eb85c1b | [
"Apache-2.0"
] | 6,736 | 2018-09-17T09:45:51.000Z | 2022-03-31T22:54:10.000Z | mmdet/core/bbox/assigners/max_iou_assigner.py | Joker-co/mmdet_pro | 96abfd90cf0e38c5ce398795f949e9328eb85c1b | [
"Apache-2.0"
] | 7,837 | 2018-09-11T02:58:23.000Z | 2022-03-31T22:31:38.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class MaxIoUAssigner(BaseAssigner):
"""Assign a co... | 45.785047 | 79 | 0.602164 |
56ecd305b4b5bf5249c4d3ed049b0e94d29dbb81 | 1,313 | py | Python | metrics.py | thelawofueki/viptest | 5827b1cba812b06ffa5fd1341162ad4547b6c3cc | [
"MIT"
] | null | null | null | metrics.py | thelawofueki/viptest | 5827b1cba812b06ffa5fd1341162ad4547b6c3cc | [
"MIT"
] | null | null | null | metrics.py | thelawofueki/viptest | 5827b1cba812b06ffa5fd1341162ad4547b6c3cc | [
"MIT"
] | null | null | null | from datetime import datetime
from viptela import Viptela
MAPPING = {
"rx_pkts": "network-in-packets.%s.cntr",
"tx_pkts": "network-out-packets.%s.cntr",
}
def get_metrics(event, context):
VIPTELA_USERNAME = event["credentials"]["username"]
VIPTELA_PSWD = event["credentials"]["password"]
VIPTELA_S... | 26.795918 | 71 | 0.616146 |
c2d6633686af99a03c3307ae6e81be8428de5d12 | 3,279 | py | Python | examples/cycle_gan.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 18 | 2019-05-02T16:32:15.000Z | 2021-04-16T09:33:54.000Z | examples/cycle_gan.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 5 | 2019-10-14T13:46:49.000Z | 2021-06-08T11:48:34.000Z | examples/cycle_gan.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 12 | 2019-05-12T21:34:24.000Z | 2021-07-15T14:14:16.000Z | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as func
from torch.utils.data import Dataset
from torchvision.datasets import ImageFolder
from torchsupport.modules.basic import MLP
from torchsupport.training.translation import CycleGANTraining, PairedGANTraining
class MiniEdges2Shoe... | 30.64486 | 81 | 0.673376 |
8647131633b9d7a5a6638341c24b844904b8df81 | 731 | py | Python | blog/migrations/0001_initial.py | naritotakizawa/django-notify-sample | c9673e98503b822adcdae738accbb30182ba6817 | [
"MIT"
] | 2 | 2019-07-29T00:24:31.000Z | 2019-08-04T13:28:13.000Z | blog/migrations/0001_initial.py | naritotakizawa/django-notify-sample | c9673e98503b822adcdae738accbb30182ba6817 | [
"MIT"
] | null | null | null | blog/migrations/0001_initial.py | naritotakizawa/django-notify-sample | c9673e98503b822adcdae738accbb30182ba6817 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.3 on 2019-07-27 01:20
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Post',
fields=... | 29.24 | 115 | 0.581395 |
b7c26aa36485b8d6f8ad21f57ef4fa601473a6ec | 2,149 | py | Python | testonly/mpush2/m_stat.py | y12studio/pi | c815b0b2a2421036ec99e085ffa92b1e3b5145f9 | [
"Apache-2.0"
] | 1 | 2016-10-28T07:30:34.000Z | 2016-10-28T07:30:34.000Z | testonly/mpush2/m_stat.py | y12studio/pi | c815b0b2a2421036ec99e085ffa92b1e3b5145f9 | [
"Apache-2.0"
] | null | null | null | testonly/mpush2/m_stat.py | y12studio/pi | c815b0b2a2421036ec99e085ffa92b1e3b5145f9 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2013 Y12Studio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 35.816667 | 94 | 0.660772 |
7b1fa5259ebb0004788694e7128e15a0eb8067d0 | 1,589 | py | Python | src/grammar_tester/commands.py | akolonin/language-learning | 022c34a3066aa97ea0d007419e026247a4f78dd5 | [
"MIT"
] | null | null | null | src/grammar_tester/commands.py | akolonin/language-learning | 022c34a3066aa97ea0d007419e026247a4f78dd5 | [
"MIT"
] | null | null | null | src/grammar_tester/commands.py | akolonin/language-learning | 022c34a3066aa97ea0d007419e026247a4f78dd5 | [
"MIT"
] | null | null | null | from typing import List
from .optconst import *
def get_sed_regex(options: int) -> str:
# If BIT_ULL_IN sed filters links leaving only sentences and removes square brackets around tokens if any.
if options & BIT_ULL_IN:
return r'/\(^[0-9].*$\)\|\(^$\)/d;s/\[\([a-z0-9A-Z.,:\@"?!*~()\/\#\$&;^%_`\0xe2\x... | 46.735294 | 156 | 0.569541 |
dadd0fc5017cd8ecb24d18485dde6d10801a8fd3 | 330 | py | Python | coding_interviews/leetcode/easy/find_the_highest_altitude/find_the_highest_altitude.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 205 | 2018-12-01T17:49:49.000Z | 2021-12-22T07:02:27.000Z | coding_interviews/leetcode/easy/find_the_highest_altitude/find_the_highest_altitude.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 2 | 2020-01-01T16:34:29.000Z | 2020-04-26T19:11:13.000Z | coding_interviews/leetcode/easy/find_the_highest_altitude/find_the_highest_altitude.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 50 | 2018-11-28T20:51:36.000Z | 2021-11-29T04:08:25.000Z | # https://leetcode.com/problems/find-the-highest-altitude
def largest_altitude(gain):
highest_altitude, current_altitude = 0, 0
for net_gain in gain:
current_altitude += net_gain
if current_altitude > highest_altitude:
highest_altitude = current_altitude
return highes... | 30 | 57 | 0.70303 |
1533d277a3e94c8299bac6573e487ee30b5f2ac8 | 7,157 | py | Python | ml_analysis/SVM.py | damien-marion/analysis | 110fed55d24802e85ff3e8fc224376481a822649 | [
"MIT"
] | null | null | null | ml_analysis/SVM.py | damien-marion/analysis | 110fed55d24802e85ff3e8fc224376481a822649 | [
"MIT"
] | null | null | null | ml_analysis/SVM.py | damien-marion/analysis | 110fed55d24802e85ff3e8fc224376481a822649 | [
"MIT"
] | null | null | null | """
File: SVM.py
Project: analysis
Last Modified: 2022-2-7
Created Date: 2022-2-7
Copyright (c) 2021
Author: AHMA project (Univ Rennes, CNRS, Inria, IRISA)
"""
################################################################################
import sys, os, glob
import logging
import numpy ... | 38.069149 | 141 | 0.523683 |
cdc4f12df7fb563cdb6dbc9505ad04e30b02ad96 | 3,450 | py | Python | solutions/year_2020/day_7/handy_haversacks.py | svandermeulen/advent_of_code | 99fe936a564f8ee66f8f28aaac4e36e013ebc28d | [
"MIT"
] | null | null | null | solutions/year_2020/day_7/handy_haversacks.py | svandermeulen/advent_of_code | 99fe936a564f8ee66f8f28aaac4e36e013ebc28d | [
"MIT"
] | null | null | null | solutions/year_2020/day_7/handy_haversacks.py | svandermeulen/advent_of_code | 99fe936a564f8ee66f8f28aaac4e36e013ebc28d | [
"MIT"
] | null | null | null | """
-*- coding: utf-8 -*-
Written by: sme30393
Date: 07/12/2020
"""
import os
import re
from typing import List
from solutions.config import Config
from solutions.year_2020.utils.file_manager import read_txt_file
def parse_rules(data: List[str]) -> dict:
data = [re.split("contain|, ", rule) for rule in data]
... | 33.823529 | 106 | 0.70029 |
62a20df2712c6e0e8d6457dd147f60ab64a91712 | 273 | py | Python | lcc/compiler.py | ronyhe/lcc | f352a8c973352e7ed49efdd11099182f21fdd06b | [
"MIT"
] | 6 | 2017-03-05T09:26:06.000Z | 2017-11-16T06:46:58.000Z | lcc/compiler.py | ronyhe/lcc | f352a8c973352e7ed49efdd11099182f21fdd06b | [
"MIT"
] | null | null | null | lcc/compiler.py | ronyhe/lcc | f352a8c973352e7ed49efdd11099182f21fdd06b | [
"MIT"
] | null | null | null | from lcc import lexical, syntactical
def run_compile(source_text):
lexer = lexical.Lexer(source_text)
parser = syntactical.Parser(lexer)
program = parser.parse_program()
program.validate_free_variables()
python = program.to_python()
return python
| 24.818182 | 38 | 0.739927 |
093822f4103e60ffee1963cd75831b7de4553361 | 23,353 | py | Python | tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_util.py | bourov/probability | 1e4053a0938b4773c3425bcbb07b3f1e5d50c7e2 | [
"Apache-2.0"
] | 2 | 2020-12-17T20:43:24.000Z | 2021-06-11T22:09:16.000Z | tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_util.py | bourov/probability | 1e4053a0938b4773c3425bcbb07b3f1e5d50c7e2 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_util.py | bourov/probability | 1e4053a0938b4773c3425bcbb07b3f1e5d50c7e2 | [
"Apache-2.0"
] | 1 | 2020-12-19T13:05:15.000Z | 2020-12-19T13:05:15.000Z | # Copyright 2020 The TensorFlow Probability Authors. All Rights Reserved.
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# THIS FILE IS AUTO-GENERATED BY `gen_linear_operators.py`.
# DO NOT MODIFY DIRECTLY.
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@... | 37.726979 | 122 | 0.674389 |
742df2ad8cd3b9f7c3100a0e1ad98777af373bf7 | 57,590 | py | Python | ovpr_atp/awards/migrations/0054_auto__add_field_awardacceptance_pta_modification.py | pawanacharya1979/Awdportal | f0ed6ad723d70fae4737e517d4dca07b2aef176a | [
"MIT"
] | null | null | null | ovpr_atp/awards/migrations/0054_auto__add_field_awardacceptance_pta_modification.py | pawanacharya1979/Awdportal | f0ed6ad723d70fae4737e517d4dca07b2aef176a | [
"MIT"
] | null | null | null | ovpr_atp/awards/migrations/0054_auto__add_field_awardacceptance_pta_modification.py | pawanacharya1979/Awdportal | f0ed6ad723d70fae4737e517d4dca07b2aef176a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'AwardAcceptance.pta_modification'
db.add_column(u'awards_... | 102.47331 | 195 | 0.574787 |
71610a6f2ac030f04efc9eb38d9e9fb36116fca8 | 4,781 | py | Python | skbio/stats/distance/tests/test_permanova.py | shiffer1/scikit-bio | a9b6eddad4e53c96f6132f27bc1c31e6b7d8ea1b | [
"BSD-3-Clause"
] | null | null | null | skbio/stats/distance/tests/test_permanova.py | shiffer1/scikit-bio | a9b6eddad4e53c96f6132f27bc1c31e6b7d8ea1b | [
"BSD-3-Clause"
] | null | null | null | skbio/stats/distance/tests/test_permanova.py | shiffer1/scikit-bio | a9b6eddad4e53c96f6132f27bc1c31e6b7d8ea1b | [
"BSD-3-Clause"
] | null | null | null | # ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------------------------------... | 40.516949 | 78 | 0.533989 |
243fcc472d5f541f75d5d0cb5c1f8854d67105f3 | 6,982 | py | Python | forge/blade/core/market/new_visualizer.py | narendasan/neural-mmo | 36a588db0021cccd7275cebef2cbdc5ee8eb40d5 | [
"MIT"
] | 4 | 2020-11-08T22:33:15.000Z | 2020-11-21T15:45:43.000Z | forge/blade/core/market/new_visualizer.py | ThomasCloarec/neural-mmo | 094744f49ad2cff179ec21e27285258903b70098 | [
"MIT"
] | 1 | 2021-09-30T07:57:46.000Z | 2021-10-02T00:39:11.000Z | forge/blade/core/market/new_visualizer.py | ThomasCloarec/neural-mmo | 094744f49ad2cff179ec21e27285258903b70098 | [
"MIT"
] | 2 | 2021-09-16T16:43:03.000Z | 2021-09-28T18:12:41.000Z | from pdb import set_trace as T
import time
import ray
from functools import partial
from threading import Thread
from random import random
from bokeh.server.server import Server
from bokeh.models import ColumnDataSource
from bokeh.models import Band
from bokeh.plotting import curdoc, figure, show
from bokeh.themes i... | 27.706349 | 78 | 0.545402 |
f6367b0d97cca9da857152bd98167d4adc8ce731 | 5,488 | py | Python | lab/numpy/generic.py | patel-zeel/lab | cc0df2c03196863041e78fa4179445341e86958c | [
"MIT"
] | null | null | null | lab/numpy/generic.py | patel-zeel/lab | cc0df2c03196863041e78fa4179445341e86958c | [
"MIT"
] | null | null | null | lab/numpy/generic.py | patel-zeel/lab | cc0df2c03196863041e78fa4179445341e86958c | [
"MIT"
] | null | null | null | from types import FunctionType
import numpy as np
import scipy.special as sps
from plum import Union
from . import B, dispatch, Numeric
from ..custom import bvn_cdf as _bvn_cdf
from ..types import NPNumeric, NPDType, Int, NPRandomState
__all__ = []
@dispatch
def isabstract(a: Numeric):
return False
@dispatch... | 17.422222 | 74 | 0.663812 |
1e14d6651d60705702f1524ab63f8a9985cfcb52 | 5,067 | py | Python | webscan_backend/views.py | imfiver/Sec-Tools | a828e31c2e371c37f1256f0a574707a24776530d | [
"Apache-2.0"
] | 144 | 2021-11-05T10:45:05.000Z | 2022-03-31T03:17:19.000Z | webscan_backend/views.py | imfiver/Sec-Tools | a828e31c2e371c37f1256f0a574707a24776530d | [
"Apache-2.0"
] | 6 | 2021-11-07T02:47:41.000Z | 2022-03-06T05:50:15.000Z | webscan_backend/views.py | imfiver/Sec-Tools | a828e31c2e371c37f1256f0a574707a24776530d | [
"Apache-2.0"
] | 41 | 2021-11-07T13:35:02.000Z | 2022-03-29T00:09:36.000Z |
from django.shortcuts import render
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
# Create your views here.
# -*- coding:utf-8 -*-
from django.views.decorators.csrf import csrf_exempt
from .plugins.common.common import success, error, addslashes, getdomain, get... | 32.902597 | 164 | 0.610026 |
dfce96b8227f698c658b065374b735f3ecdb0d7f | 2,844 | py | Python | src/hexagonal/services/raw_python_project_importer.py | rfrezino/hexagonal-sanity-check | 78c8711d9be6ec173abead4ab344f7ac57d5d4ac | [
"MIT"
] | 1 | 2022-03-14T10:17:38.000Z | 2022-03-14T10:17:38.000Z | src/hexagonal/services/raw_python_project_importer.py | rfrezino/hexagonal-sanity-check | 78c8711d9be6ec173abead4ab344f7ac57d5d4ac | [
"MIT"
] | null | null | null | src/hexagonal/services/raw_python_project_importer.py | rfrezino/hexagonal-sanity-check | 78c8711d9be6ec173abead4ab344f7ac57d5d4ac | [
"MIT"
] | 2 | 2021-12-14T10:35:24.000Z | 2022-01-31T14:17:36.000Z | import os
from glob import glob
from typing import List
from hexagonal.domain.raw_python_file import RawPythonFile
from hexagonal.services.hexagonal_composition import HexagonalComposition
from hexagonal.services.raw_python_file_builder import RawPythonFileBuilder
class RawPythonFilesImporter:
_composition: Hexa... | 38.958904 | 120 | 0.701828 |
80cb853821050314a843d25e8e8e6e9e41411d5c | 965 | py | Python | huobi/model/mbprequest.py | xiaohuid/huobi_Python | ebc84b2fc560f77fd77457f36ff91906c43646e3 | [
"Apache-2.0"
] | 1 | 2020-12-28T07:04:45.000Z | 2020-12-28T07:04:45.000Z | huobi/model/mbprequest.py | xiaohuid/huobi_Python | ebc84b2fc560f77fd77457f36ff91906c43646e3 | [
"Apache-2.0"
] | null | null | null | huobi/model/mbprequest.py | xiaohuid/huobi_Python | ebc84b2fc560f77fd77457f36ff91906c43646e3 | [
"Apache-2.0"
] | 1 | 2022-03-27T10:36:04.000Z | 2022-03-27T10:36:04.000Z | from huobi.constant.result import OutputKey
from huobi.impl.utils.channelparser import ChannelParser
from huobi.model import *
class MbpRequest:
"""
The price depth received by subscription of price depth.
:member
symbol: The symbol you subscribed.
timestamp: The UNIX formatted timestamp ... | 26.081081 | 75 | 0.645596 |
e6cd3f473e84bccb38060ab2d97b66fee5917e66 | 3,422 | py | Python | monitoring/tracer/check_rid_flights.py | rpai1/dss | 79d8110c336851b155a6e5417692ec68b70c0c07 | [
"Apache-2.0"
] | null | null | null | monitoring/tracer/check_rid_flights.py | rpai1/dss | 79d8110c336851b155a6e5417692ec68b70c0c07 | [
"Apache-2.0"
] | null | null | null | monitoring/tracer/check_rid_flights.py | rpai1/dss | 79d8110c336851b155a6e5417692ec68b70c0c07 | [
"Apache-2.0"
] | null | null | null | #!env/bin/python3
import argparse
import logging
from typing import Dict
import requests
import s2sphere
import yaml
from monitoring.monitorlib import rid
from monitoring.tracer import polling
from monitoring.tracer.resources import ResourceSet
logging.basicConfig()
_logger = logging.getLogger('check_rid_flights')... | 29.5 | 157 | 0.680304 |
150607637b7cd27c4cd7ac06874d377e68159776 | 4,982 | py | Python | .ycm_extra_conf.py | uasys/ACF-Coalescing-LLVM | db811bda15bb7c4a951644130ab55f5cb5848351 | [
"MIT"
] | 1 | 2020-06-23T00:18:56.000Z | 2020-06-23T00:18:56.000Z | .ycm_extra_conf.py | uasys/ACF-Coalescing-LLVM | db811bda15bb7c4a951644130ab55f5cb5848351 | [
"MIT"
] | null | null | null | .ycm_extra_conf.py | uasys/ACF-Coalescing-LLVM | db811bda15bb7c4a951644130ab55f5cb5848351 | [
"MIT"
] | null | null | null | # Generated by YCM Generator at 2017-01-06 11:15:26.344080
# This file is NOT licensed under the GPLv3, which is the license for the rest
# of YouCompleteMe.
#
# Here's the license text for this file:
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publis... | 33.891156 | 79 | 0.718386 |
4fabbc336161434c7f78966242944eb239c20406 | 5,729 | py | Python | init.py | lccatala/ENet-Real-Time-Semantic-Segmentation | e8efbfa8232000baf78910b9b91282f1ee193902 | [
"BSD-3-Clause"
] | 268 | 2019-01-17T09:19:52.000Z | 2022-02-17T05:19:21.000Z | init.py | lccatala/ENet-Real-Time-Semantic-Segmentation | e8efbfa8232000baf78910b9b91282f1ee193902 | [
"BSD-3-Clause"
] | 25 | 2019-01-24T08:15:06.000Z | 2021-06-24T21:44:50.000Z | init.py | lccatala/ENet-Real-Time-Semantic-Segmentation | e8efbfa8232000baf78910b9b91282f1ee193902 | [
"BSD-3-Clause"
] | 75 | 2019-01-17T10:43:09.000Z | 2021-09-29T19:28:02.000Z | import numpy as np
import argparse
from train import *
from test import *
color_map = {
'unlabeled' : ( 0, 0, 0),
'dynamic' : (111, 74, 0),
'ground' : ( 81, 0, 81),
'road' : (128, 64,128),
'sidewalk' : (244, 35,232),
'parking' : (250,170,160),
'rail... | 36.490446 | 93 | 0.440915 |
4282b59f442a5388a7e9404b7377ddcf51c94b32 | 2,283 | py | Python | unifuncnet/Fetchers/Gene_Fetchers/Gene_Fetcher.py | PedroMTQ/UniFuncNet | cde0170241aff8502862df84756662fae7f5d8b3 | [
"MIT"
] | 4 | 2022-02-14T15:49:31.000Z | 2022-03-22T10:37:36.000Z | unifuncnet/Fetchers/Gene_Fetchers/Gene_Fetcher.py | PedroMTQ/UniFuncNet | cde0170241aff8502862df84756662fae7f5d8b3 | [
"MIT"
] | null | null | null | unifuncnet/Fetchers/Gene_Fetchers/Gene_Fetcher.py | PedroMTQ/UniFuncNet | cde0170241aff8502862df84756662fae7f5d8b3 | [
"MIT"
] | null | null | null | from unifuncnet.Fetchers.Global_Fetcher import *
class Gene_Fetcher(Global_Fetcher):
def __init__(self,gene_id,extra_args={},memory_storage=None):
Global_Fetcher.__init__(self,memory_storage=memory_storage)
self.gene_id=gene_id
self.db= None
self.gene=None
self.convergence_a... | 42.277778 | 163 | 0.700394 |
4bfaac8ddefcae9436f814ecc6c2419a61946633 | 7,213 | py | Python | src/multi_label.py | nagmakhan/multi-label-analysis | 4d2a16e39c520a2a519e9f1827feece7408d3225 | [
"MIT"
] | 5 | 2020-07-22T09:19:05.000Z | 2021-10-11T12:58:52.000Z | src/multi_label.py | nagmakhan/multi-label-analysis | 4d2a16e39c520a2a519e9f1827feece7408d3225 | [
"MIT"
] | 3 | 2020-09-24T03:22:00.000Z | 2021-05-15T05:42:15.000Z | src/multi_label.py | nagmakhan/multi-label-analysis | 4d2a16e39c520a2a519e9f1827feece7408d3225 | [
"MIT"
] | 2 | 2020-03-23T13:29:53.000Z | 2020-04-01T13:23:34.000Z | from sklearn.model_selection import train_test_split
from sklearn.metrics import hamming_loss, fbeta_score, confusion_matrix, precision_recall_fscore_support
from skmultilearn.problem_transform import BinaryRelevance # to help stratify while sampling
import scipy.io
import numpy as np
import time
## Loading data
prin... | 32.638009 | 147 | 0.761126 |
bd6d1c50086b0cf0eaff55e620c563640d7b9ff6 | 14,599 | py | Python | frameworks/helloworld/tests/test_canary_strategy.py | jorgelopez1/hdfs | 892589180438b90486ec7530d2a63c218b20e79f | [
"Apache-2.0"
] | null | null | null | frameworks/helloworld/tests/test_canary_strategy.py | jorgelopez1/hdfs | 892589180438b90486ec7530d2a63c218b20e79f | [
"Apache-2.0"
] | null | null | null | frameworks/helloworld/tests/test_canary_strategy.py | jorgelopez1/hdfs | 892589180438b90486ec7530d2a63c218b20e79f | [
"Apache-2.0"
] | null | null | null | import logging
import pytest
import sdk_cmd
import sdk_install
import sdk_marathon
import sdk_plan
import sdk_tasks
import sdk_utils
import shakedown
from tests import config
log = logging.getLogger(__name__)
# global pytest variable applicable to whole module
pytestmark = sdk_utils.dcos_1_9_or_higher
@pytest.fixt... | 34.513002 | 117 | 0.646551 |
87ee46b5937e58d5aba854d6f628d4794eeb86cb | 11,374 | py | Python | otcextensions/sdk/dcaas/v2/_proxy.py | artem-lifshits/python-otcextensions | 2021da124f393e0429dd5913a3bc635e6143ba1e | [
"Apache-2.0"
] | null | null | null | otcextensions/sdk/dcaas/v2/_proxy.py | artem-lifshits/python-otcextensions | 2021da124f393e0429dd5913a3bc635e6143ba1e | [
"Apache-2.0"
] | null | null | null | otcextensions/sdk/dcaas/v2/_proxy.py | artem-lifshits/python-otcextensions | 2021da124f393e0429dd5913a3bc635e6143ba1e | [
"Apache-2.0"
] | null | null | null | # 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
# distributed under t... | 42.125926 | 80 | 0.649815 |
5ff49ceb29e27809383b538b93194ee8ddfb9b58 | 11,374 | py | Python | dbsync/client/pull.py | bintlabs/python-sync-db | bb23d77abf560793696f906e030950aec04c3361 | [
"MIT"
] | 42 | 2015-02-15T05:37:08.000Z | 2022-02-09T04:19:43.000Z | dbsync/client/pull.py | bintlabs/python-sync-db | bb23d77abf560793696f906e030950aec04c3361 | [
"MIT"
] | 1 | 2017-02-22T03:01:43.000Z | 2020-09-27T02:25:16.000Z | dbsync/client/pull.py | bintlabs/python-sync-db | bb23d77abf560793696f906e030950aec04c3361 | [
"MIT"
] | 9 | 2016-10-27T10:32:13.000Z | 2020-12-02T06:40:15.000Z | """
Pull, merge and related operations.
"""
import collections
from sqlalchemy.orm import make_transient
from dbsync.lang import *
from dbsync.utils import class_mapper, get_pk, query_model
from dbsync import core
from dbsync.models import Operation
from dbsync import dialects
from dbsync.messages.pull import PullMe... | 36.690323 | 79 | 0.648497 |
e3e6300ded951bd09be70108f792b14fa4f79846 | 898 | py | Python | salt/wheel/key.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2015-10-06T22:25:22.000Z | 2015-10-06T22:25:22.000Z | salt/wheel/key.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | salt/wheel/key.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | '''
Wheel system wrapper for key system
'''
# Import salt libs
import salt.key
def list_all():
'''
List the keys under a named status
'''
skey = salt.key.Key(__opts__)
return skey.all_keys()
def accept(match):
'''
Accept keys based on a glob match
'''
skey = salt.key.Key(__opts__... | 17.96 | 40 | 0.61804 |
9b9e45c6ca0e6e04b6693bec41d0dbd8eac7be93 | 1,911 | py | Python | tests/property/lambda_getter.py | jpolitz/lambda-py-paper | 746ef63fc1123714b4adaf78119028afbea7bd76 | [
"Apache-2.0"
] | 25 | 2015-04-16T04:31:49.000Z | 2022-03-10T15:53:28.000Z | tests/property/lambda_getter.py | jpolitz/lambda-py-paper | 746ef63fc1123714b4adaf78119028afbea7bd76 | [
"Apache-2.0"
] | 1 | 2018-11-21T22:40:02.000Z | 2018-11-26T17:53:11.000Z | tests/property/lambda_getter.py | jpolitz/lambda-py-paper | 746ef63fc1123714b4adaf78119028afbea7bd76 | [
"Apache-2.0"
] | 1 | 2021-03-26T03:36:19.000Z | 2021-03-26T03:36:19.000Z | class PropertyBase(Exception):
pass
class PropertyGet(PropertyBase):
pass
class PropertySet(PropertyBase):
pass
class PropertyDel(PropertyBase):
pass
class BaseClass(object):
def __init__(self):
self._spam = 5
@property
def spam(self):
"""BaseClass.getter"""
retu... | 20.771739 | 56 | 0.642595 |
19aec18e81c202e38c2a04bec4797820453bd8a0 | 1,493 | py | Python | openwater/zone/validation.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | openwater/zone/validation.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | openwater/zone/validation.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | import copy
from typing import Optional, Type, Any, Dict
from cerberus import Validator
from cerberus.errors import ErrorList
from openwater.zone.model import BaseZone
ATTR_SCHEMA = {
"soil_type": {"type": "string"},
"precip_rate": {"type": "float"},
}
RUN_SCHEMA = {
"id": {"type": "integer"},
"zone... | 31.104167 | 83 | 0.633624 |
d8134ecf11d4f75ec933f8411b9f4ae231d16803 | 2,126 | py | Python | .test-infra/jenkins/dependency_check/version_comparer.py | charithe/beam | f085cb500730cf0c67c467ac55f92b3c59f52b39 | [
"Apache-2.0"
] | 5,279 | 2016-12-29T04:00:44.000Z | 2022-03-31T22:56:45.000Z | .test-infra/jenkins/dependency_check/version_comparer.py | charithe/beam | f085cb500730cf0c67c467ac55f92b3c59f52b39 | [
"Apache-2.0"
] | 14,149 | 2016-12-28T00:43:50.000Z | 2022-03-31T23:50:22.000Z | .test-infra/jenkins/dependency_check/version_comparer.py | charithe/beam | f085cb500730cf0c67c467ac55f92b3c59f52b39 | [
"Apache-2.0"
] | 3,763 | 2016-12-29T04:06:10.000Z | 2022-03-31T22:25:49.000Z | #!/usr/bin/env python
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "Lic... | 40.884615 | 115 | 0.749294 |
f131b6a60584004f95db454d56f84288153024a6 | 32,263 | py | Python | tests/test_bifacial_radiance.py | kperrynrel/bifacial_radiance | cf5ae46b4ef93990e3e1619956a186376cb4fd8a | [
"BSD-3-Clause"
] | null | null | null | tests/test_bifacial_radiance.py | kperrynrel/bifacial_radiance | cf5ae46b4ef93990e3e1619956a186376cb4fd8a | [
"BSD-3-Clause"
] | null | null | null | tests/test_bifacial_radiance.py | kperrynrel/bifacial_radiance | cf5ae46b4ef93990e3e1619956a186376cb4fd8a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 27 10:08:25 2018
@author: cdeline
Using pytest to create unit tests for bifacial_radiance.
to run unit tests, run pytest from the command line in the bifacial_radiance directory
to run coverage tests, run py.test --cov-report term-missing --cov=bifacial_radiance
"""
... | 57.305506 | 225 | 0.672721 |
deb7ee9d7067dedb7c9115f551139c837f8c59ab | 13,699 | py | Python | pyscf/prop/zfs/uhf.py | fishjojo/properties | 6eb98707e0c681f182deefbedf800911feaa7d1f | [
"Apache-2.0"
] | 4 | 2021-03-01T03:46:02.000Z | 2022-03-14T05:34:33.000Z | pyscf/prop/zfs/uhf.py | fishjojo/properties | 6eb98707e0c681f182deefbedf800911feaa7d1f | [
"Apache-2.0"
] | 1 | 2022-02-23T02:52:45.000Z | 2022-02-23T02:53:55.000Z | pyscf/prop/zfs/uhf.py | fishjojo/properties | 6eb98707e0c681f182deefbedf800911feaa7d1f | [
"Apache-2.0"
] | 3 | 2021-05-24T02:29:13.000Z | 2022-03-14T05:34:34.000Z | #!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. 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
#
# U... | 37.634615 | 98 | 0.600263 |
1bc4e215c8ea9219fdb57485160c5c4dbc196e81 | 1,681 | py | Python | vsts/vsts/operations/v4_0/models/operation.py | kenkuo/azure-devops-python-api | 9e920bd25e938fa89ff7f60153e5b9e113ca839d | [
"MIT"
] | null | null | null | vsts/vsts/operations/v4_0/models/operation.py | kenkuo/azure-devops-python-api | 9e920bd25e938fa89ff7f60153e5b9e113ca839d | [
"MIT"
] | null | null | null | vsts/vsts/operations/v4_0/models/operation.py | kenkuo/azure-devops-python-api | 9e920bd25e938fa89ff7f60153e5b9e113ca839d | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 43.102564 | 94 | 0.556217 |
a49026d60e1ab40e10ba64f8c3d8c2320b5aa578 | 4,501 | py | Python | tests/checkout_repo/basicgit_test.py | vincent-l-j/micropython-stubber | 7dbbc937baffedd7fdbd5ac9f94555f2c93b98d0 | [
"MIT"
] | null | null | null | tests/checkout_repo/basicgit_test.py | vincent-l-j/micropython-stubber | 7dbbc937baffedd7fdbd5ac9f94555f2c93b98d0 | [
"MIT"
] | null | null | null | tests/checkout_repo/basicgit_test.py | vincent-l-j/micropython-stubber | 7dbbc937baffedd7fdbd5ac9f94555f2c93b98d0 | [
"MIT"
] | null | null | null | import sys
import os
import pytest
import subprocess
from pathlib import Path
from pytest_mock import MockerFixture
from mock import MagicMock
from typing import List
from subprocess import CompletedProcess
# make sure that the source can be found
RootPath = Path(os.getcwd())
src_path = str(RootPath / "src")
if not sr... | 27.278788 | 134 | 0.672962 |
3937fc704bc83ed2d9a1b6ec40beb740bb224d4c | 801 | py | Python | Tests/test_escapes.py | ZiRO-Bot/TagScript | 99a7999d61d891b0ed75ad2f2767eb49a7a9abc6 | [
"CC-BY-4.0"
] | 9 | 2021-03-12T19:52:15.000Z | 2022-01-23T11:50:32.000Z | Tests/test_escapes.py | ZiRO-Bot/TagScript | 99a7999d61d891b0ed75ad2f2767eb49a7a9abc6 | [
"CC-BY-4.0"
] | 7 | 2021-03-19T05:15:31.000Z | 2021-07-03T10:24:49.000Z | Tests/test_escapes.py | ZiRO-Bot/TagScript | 99a7999d61d891b0ed75ad2f2767eb49a7a9abc6 | [
"CC-BY-4.0"
] | 15 | 2021-03-08T01:17:01.000Z | 2022-03-21T09:47:42.000Z | import TagScriptEngine as tse
blocks = [
tse.MathBlock(),
tse.RandomBlock(),
tse.RangeBlock(),
tse.AnyBlock(),
tse.IfBlock(),
tse.AllBlock(),
tse.BreakBlock(),
tse.StrfBlock(),
tse.StopBlock(),
tse.AssignmentBlock(),
tse.FiftyFiftyBlock(),
tse.ShortCutRedirectBlock("args... | 23.558824 | 99 | 0.657928 |
81a49b79c8d75b44625460e0bf51c5a5c0e543a7 | 1,066 | py | Python | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/account/models/sas_token_info.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/account/models/sas_token_info.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 2 | 2016-09-30T21:40:24.000Z | 2017-11-10T18:16:18.000Z | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/account/models/sas_token_info.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 28.810811 | 76 | 0.58818 |
512beab7e34165f7e5d4a64811732687b99087fc | 881 | py | Python | AI_Web/GA/migrations/0001_initial.py | xwy27/ArtificialIntelligenceProjects | e2b0154f07d749084e2d670260fa82f8f5ea23ed | [
"MIT"
] | 4 | 2018-12-19T14:10:56.000Z | 2021-07-12T06:05:17.000Z | AI_Web/GA/migrations/0001_initial.py | xwy27/ArtificialIntelligenceProjects | e2b0154f07d749084e2d670260fa82f8f5ea23ed | [
"MIT"
] | 1 | 2019-08-06T01:57:41.000Z | 2019-08-06T01:57:41.000Z | AI_Web/GA/migrations/0001_initial.py | xwy27/ArtificialIntelligenceProjects | e2b0154f07d749084e2d670260fa82f8f5ea23ed | [
"MIT"
] | null | null | null | # Generated by Django 2.1 on 2018-11-09 08:24
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='City',
fields=[
('id', models.IntegerField(pr... | 27.53125 | 90 | 0.531215 |
b72cdb4e64e78b2861781d88c438526200fc7489 | 3,907 | py | Python | vendors/marvell/WMSDK/mw320/sdk/tools/OpenOCD/openocd.py | ictk-solution-dev/amazon-freertos | cc76512292ddfb70bba3030dbcb740ef3c6ead8b | [
"MIT"
] | 2 | 2020-06-23T08:05:58.000Z | 2020-06-24T01:25:51.000Z | vendors/marvell/WMSDK/mw320/sdk/tools/OpenOCD/openocd.py | ictk-solution-dev/amazon-freertos | cc76512292ddfb70bba3030dbcb740ef3c6ead8b | [
"MIT"
] | 2 | 2022-03-29T05:16:50.000Z | 2022-03-29T05:16:50.000Z | vendors/marvell/WMSDK/mw320/sdk/tools/OpenOCD/openocd.py | ictk-solution-dev/amazon-freertos | cc76512292ddfb70bba3030dbcb740ef3c6ead8b | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# Copyright (C) 2018 Marvell International Ltd.
# All Rights Reserved.
# Load application to ram helper script
# Note: sys.stdout.flush() and sys.stderr.flush() are required for proper
# console output in eclipse
import os, sys, platform, getopt, subprocess
from sys import platform as ... | 34.575221 | 170 | 0.571794 |
6049b71e95e6893b0e7e17183df1ca3bf420baf5 | 28,574 | py | Python | multiqc_sav/modules/sav.py | MultiQC/MultiQC_SAV | bd057a454108b5c6f4af2ad077e895f4476dc688 | [
"MIT"
] | 1 | 2021-06-01T08:47:19.000Z | 2021-06-01T08:47:19.000Z | multiqc_sav/modules/sav.py | MultiQC/MultiQC_SAV | bd057a454108b5c6f4af2ad077e895f4476dc688 | [
"MIT"
] | 2 | 2021-06-16T09:15:25.000Z | 2022-01-28T12:57:28.000Z | multiqc_sav/modules/sav.py | MultiQC/MultiQC_SAV | bd057a454108b5c6f4af2ad077e895f4476dc688 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import glob
import logging
import os
import re
import xml.etree.ElementTree as ET
from collections import OrderedDict
from datetime import datetime
from typing import Dict
import interop
import numpy
import pandas as pd
from interop import py_interop_plot
from multiqc import config
from multiqc.... | 37.99734 | 208 | 0.549591 |
bc33d893f264ec12e3f913cdc3c2bf1da97767dc | 2,309 | py | Python | MP4_concentration.py | wolfiex/ropacode | 2b5caa4ed52d985c9b6eb626f364655af20d97f3 | [
"CC0-1.0"
] | null | null | null | MP4_concentration.py | wolfiex/ropacode | 2b5caa4ed52d985c9b6eb626f364655af20d97f3 | [
"CC0-1.0"
] | null | null | null | MP4_concentration.py | wolfiex/ropacode | 2b5caa4ed52d985c9b6eb626f364655af20d97f3 | [
"CC0-1.0"
] | null | null | null | import numpy as np
import matplotlib, datetime
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import pandas as pd
import sys,os,re,multiprocessing,netCDF4
from netCDF4 import Dataset
#netcdf file path
ncfile = sys.argv[1]
netCDF_data = Dataset(ncfile, mode='r')
# Set ... | 27.819277 | 133 | 0.672586 |
addd8bb8ee3b05343d23885eaff761193ac4bd4a | 2,127 | py | Python | 1-Getting Started with Python/basics3.py | hchs-hdac/git-tutorial | c2a89b3219c89185b44c312c8db22e469ea2ffe5 | [
"CC0-1.0"
] | 1 | 2020-04-12T20:12:54.000Z | 2020-04-12T20:12:54.000Z | 1-Getting Started with Python/basics3.py | hchs-hdac/git-tutorial | c2a89b3219c89185b44c312c8db22e469ea2ffe5 | [
"CC0-1.0"
] | null | null | null | 1-Getting Started with Python/basics3.py | hchs-hdac/git-tutorial | c2a89b3219c89185b44c312c8db22e469ea2ffe5 | [
"CC0-1.0"
] | 5 | 2020-04-09T20:16:03.000Z | 2020-11-20T01:42:38.000Z | # Conditionals (if/elif/else) - will run commands only if the statement is true
x = 1
lst = ['Corn Flakes', 'Cheerios', 'Special K']
if x == 1: # the == signifies "equal to" - this is in order to distinguish from = which assigns variables
print('X is 1.') # if x is 1, Python will execute this line
else:
print... | 44.3125 | 144 | 0.708039 |
9f283f7aa7d975680710816dd589caa3936fc170 | 1,500 | py | Python | nff/utils/scatter.py | torchmd/mdgrad | 77bd7685b74b41acf54a9483546e1e8cb545eb01 | [
"MIT"
] | 54 | 2021-03-10T18:35:49.000Z | 2022-03-28T13:54:47.000Z | nff/utils/scatter.py | wwang2/torchmd | 77bd7685b74b41acf54a9483546e1e8cb545eb01 | [
"MIT"
] | 1 | 2021-03-17T07:01:02.000Z | 2021-03-17T07:01:02.000Z | nff/utils/scatter.py | torchmd/mdgrad | 77bd7685b74b41acf54a9483546e1e8cb545eb01 | [
"MIT"
] | 5 | 2021-06-08T02:44:35.000Z | 2021-12-17T11:50:08.000Z | from itertools import repeat
from torch.autograd import grad
def compute_grad(inputs, output, create_graph=True, retain_graph=True):
"""Compute gradient of the scalar output with respect to inputs.
Args:
inputs (torch.Tensor): torch tensor, requires_grad=True
output (torch.Tensor): scalar... | 32.608696 | 90 | 0.664667 |
e160aaf0a90f9957dbc9c31bdca7a559b5c338f3 | 22,996 | py | Python | Test/undoManager_test.py | justvanrossum/jundo | 16e806cef60a2bd88d3916bff61d2befc3db5956 | [
"MIT"
] | 12 | 2018-12-29T13:56:54.000Z | 2021-09-19T13:04:03.000Z | Test/undoManager_test.py | justvanrossum/jundo | 16e806cef60a2bd88d3916bff61d2befc3db5956 | [
"MIT"
] | 1 | 2020-01-30T18:22:38.000Z | 2021-09-19T18:51:53.000Z | Test/undoManager_test.py | justvanrossum/jundo | 16e806cef60a2bd88d3916bff61d2befc3db5956 | [
"MIT"
] | null | null | null | from collections.abc import Mapping, Sequence, Set
import pytest
from jundo.undoManager import (
Change,
UndoManager,
UndoManagerError,
UndoProxy,
UndoProxyAttributeObject,
UndoProxyBase,
UndoProxyMapping,
UndoProxySequence,
UndoProxySet,
addItem,
addNestedItem,
getItem,
... | 32.297753 | 112 | 0.51435 |
72c58b4e9db8405c2e1faaf42f85d952d8aa9bea | 3,447 | py | Python | sympy/matrices/expressions/funcmatrix.py | Geektrovert/sympy | 30e7f9f4f2c26ec8f3e1577b9bf163e4851ab3d5 | [
"BSD-3-Clause"
] | null | null | null | sympy/matrices/expressions/funcmatrix.py | Geektrovert/sympy | 30e7f9f4f2c26ec8f3e1577b9bf163e4851ab3d5 | [
"BSD-3-Clause"
] | null | null | null | sympy/matrices/expressions/funcmatrix.py | Geektrovert/sympy | 30e7f9f4f2c26ec8f3e1577b9bf163e4851ab3d5 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function, division
from .matexpr import MatrixExpr
from sympy.core.basic import Basic
from sympy.core.function import FunctionClass, Lambda
from sympy.core.sympify import _sympify, sympify
from sympy.matrices import Matrix
from sympy.functions.elementary.complexes import re, im
class Fun... | 28.487603 | 73 | 0.610966 |
fe723f70f6b0acf4bf27dd808690e85f3db331ab | 3,086 | py | Python | pydsm/correlations.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | pydsm/correlations.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | pydsm/correlations.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2012, Sergio Callegari
# All rights reserved.
# This file is part of PyDSM.
# PyDSM is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, o... | 27.553571 | 74 | 0.631886 |
b714daaa0b411d193c53c638ad323afc0e6b9996 | 4,205 | py | Python | examples/pervasive/criterions/archive/multi_cross_entropy.py | EricLina/attn2d | 982653439dedc7306e484e00b3dfb90e2cd7c9e1 | [
"MIT"
] | 490 | 2018-08-18T14:25:38.000Z | 2022-03-25T12:19:35.000Z | examples/pervasive/criterions/archive/multi_cross_entropy.py | VivianLiangB/attn2d | 43babb8a00c723abc2e87c9ec3212de3010d9200 | [
"MIT"
] | 17 | 2018-08-23T06:04:29.000Z | 2022-03-26T07:35:26.000Z | examples/pervasive/criterions/archive/multi_cross_entropy.py | VivianLiangB/attn2d | 43babb8a00c723abc2e87c9ec3212de3010d9200 | [
"MIT"
] | 80 | 2018-08-20T09:54:49.000Z | 2022-03-22T01:18:23.000Z | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
from fairseq import u... | 40.432692 | 103 | 0.629251 |
b932c53435d89a32f1906047cd46ae1cbbe03e4e | 47 | py | Python | tests/__init__.py | Trim21/beancount-fetch | 20ba65cd06dfae5de7c0e831fb88c2893b84b657 | [
"MIT"
] | null | null | null | tests/__init__.py | Trim21/beancount-fetch | 20ba65cd06dfae5de7c0e831fb88c2893b84b657 | [
"MIT"
] | 2 | 2020-09-24T23:18:32.000Z | 2020-09-25T09:10:19.000Z | tests/__init__.py | Trim21/beancount-fetch | 20ba65cd06dfae5de7c0e831fb88c2893b84b657 | [
"MIT"
] | null | null | null | """Unit test package for beancount_fetcher."""
| 23.5 | 46 | 0.744681 |
e1de8bb2f68914de9dede24c9fd477fd4808da36 | 723 | py | Python | tests/test_siaf_interface.py | mtakahiro/mirage | 782bb01b46cba078f0f0afb9192e8439cf4ae5fc | [
"BSD-3-Clause"
] | 37 | 2018-10-03T13:42:11.000Z | 2022-03-10T14:44:47.000Z | tests/test_siaf_interface.py | mtakahiro/mirage | 782bb01b46cba078f0f0afb9192e8439cf4ae5fc | [
"BSD-3-Clause"
] | 531 | 2018-06-26T18:18:24.000Z | 2022-03-31T13:09:36.000Z | tests/test_siaf_interface.py | mtakahiro/mirage | 782bb01b46cba078f0f0afb9192e8439cf4ae5fc | [
"BSD-3-Clause"
] | 39 | 2018-06-26T19:13:08.000Z | 2022-03-02T02:22:26.000Z | """Test the functions provided by siaf_interface.
Authors
-------
- Johannes Sahlmann
Use
---
>>> pytest -s test_siaf_interface.py
"""
from pysiaf import iando
from mirage.utils import siaf_interface
def test_sci_subarray_corners():
"""Unit test for siaf_interface.sci_subarray_corners."""
instrum... | 24.931034 | 85 | 0.709544 |
c6a60725b02d0b878a5be3af785d5399a2bff48f | 91 | py | Python | DQMOffline/Muon/python/muonPFAnalyzer_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DQMOffline/Muon/python/muonPFAnalyzer_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DQMOffline/Muon/python/muonPFAnalyzer_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
from DQMOffline.Muon.muonPFAnalyzer_cfi import *
| 22.75 | 48 | 0.846154 |
84ff5e3e995caff4edbbd811e9cfeaa2824e732a | 4,809 | py | Python | venv/lib/python3.6/site-packages/nlp/datasets/xquad/d77ebc147170f49904a4c13b55ba63a39324810caad218d09a857227b8956df5/xquad.py | MachineLearningBCAM/minimax-risk-classifier | 82586c632268c103de269bcbffa5f7849b174a29 | [
"MIT"
] | 2 | 2021-09-28T01:36:21.000Z | 2021-12-22T08:24:17.000Z | venv/lib/python3.6/site-packages/nlp/datasets/xquad/d77ebc147170f49904a4c13b55ba63a39324810caad218d09a857227b8956df5/xquad.py | MachineLearningBCAM/minimax-risk-classifier | 82586c632268c103de269bcbffa5f7849b174a29 | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/nlp/datasets/xquad/d77ebc147170f49904a4c13b55ba63a39324810caad218d09a857227b8956df5/xquad.py | MachineLearningBCAM/minimax-risk-classifier | 82586c632268c103de269bcbffa5f7849b174a29 | [
"MIT"
] | 1 | 2020-12-08T10:36:30.000Z | 2020-12-08T10:36:30.000Z | """TODO(xquad): Add a description here."""
from __future__ import absolute_import, division, print_function
import json
import nlp
_CITATION = """\
@article{Artetxe:etal:2019,
author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
title = {On the cross-lingual transferability of monolin... | 33.165517 | 121 | 0.587024 |
0a433b922ebb456f6df50b8b0ef0fc2c879c9c70 | 2,708 | py | Python | Cogs/Game.py | chaejm55/discord_velog_bot | 38574e2564f5eda2114c5a257e7ed8e1c5b3d29a | [
"MIT"
] | 1 | 2021-11-26T00:21:21.000Z | 2021-11-26T00:21:21.000Z | Cogs/Game.py | chaejm55/discord_velog_bot | 38574e2564f5eda2114c5a257e7ed8e1c5b3d29a | [
"MIT"
] | null | null | null | Cogs/Game.py | chaejm55/discord_velog_bot | 38574e2564f5eda2114c5a257e7ed8e1c5b3d29a | [
"MIT"
] | 1 | 2021-11-26T00:21:21.000Z | 2021-11-26T00:21:21.000Z | import random
import os
from discord.ext import commands
from discord.ext.commands import MissingRequiredArgument
async def make_dir(directory_name):
try:
if not os.path.exists(directory_name):
os.makedirs(directory_name)
except OSError:
print('Error: makedirs()')
async def add_r... | 33.85 | 104 | 0.580871 |
9d623e84c4d9d1f6d0468a3bd49b37220365a694 | 3,150 | py | Python | calm/dsl/cli/project_commands.py | LevyForchh/calm-dsl | ff6e021628c0ef8c04aaa5e37c80fe1fbff729e6 | [
"Apache-2.0"
] | null | null | null | calm/dsl/cli/project_commands.py | LevyForchh/calm-dsl | ff6e021628c0ef8c04aaa5e37c80fe1fbff729e6 | [
"Apache-2.0"
] | 20 | 2020-06-30T01:00:36.000Z | 2021-03-23T01:03:39.000Z | calm/dsl/cli/project_commands.py | LevyForchh/calm-dsl | ff6e021628c0ef8c04aaa5e37c80fe1fbff729e6 | [
"Apache-2.0"
] | null | null | null | import click
from .projects import (
get_projects,
delete_project,
create_project,
describe_project,
update_project,
)
from .main import create, get, update, delete, describe
from calm.dsl.tools import get_logging_handle
from calm.dsl.builtins import read_spec
LOG = get_logging_handle(__name__)
... | 27.391304 | 87 | 0.677143 |
28f1c46d8de7e0612b8de14e4ddd32023aa14fa6 | 2,587 | py | Python | orgjunk.py | genlikan/lazy-junk-organizer | 5f833b3343c885c680a93463c90c6d5c18d7bbf7 | [
"MIT"
] | null | null | null | orgjunk.py | genlikan/lazy-junk-organizer | 5f833b3343c885c680a93463c90c6d5c18d7bbf7 | [
"MIT"
] | null | null | null | orgjunk.py | genlikan/lazy-junk-organizer | 5f833b3343c885c680a93463c90c6d5c18d7bbf7 | [
"MIT"
] | null | null | null | """
-*- coding: utf-8 -*-
========================
Python Lazy Junk Files Organizer
========================
========================
"""
import os
from pathlib import Path
DIRECTORIES = {
"HTML": [".html5", ".html", ".htm", ".xhtml"],
"IMAGES": [".jpeg", ".jpg", ".tiff", ".gif", ".bmp", ".png", ".bpg", ".sv... | 30.797619 | 109 | 0.424043 |
473a9d8511b59239abbcdf62d14c36b1ce35f3e4 | 38 | py | Python | helper/__init__.py | jyotint/aws-python | 6f9eec2c259a0298eba769e510b9b294c8b69815 | [
"Apache-2.0"
] | null | null | null | helper/__init__.py | jyotint/aws-python | 6f9eec2c259a0298eba769e510b9b294c8b69815 | [
"Apache-2.0"
] | null | null | null | helper/__init__.py | jyotint/aws-python | 6f9eec2c259a0298eba769e510b9b294c8b69815 | [
"Apache-2.0"
] | null | null | null | # import constants
# import timeHelper | 19 | 19 | 0.815789 |
650d7209e43b92463d32f1db8cc7e3565b9885c0 | 917 | py | Python | meraki_sdk/models/mode_2_enum.py | meraki/meraki-python-sdk | 9894089eb013318243ae48869cc5130eb37f80c0 | [
"MIT"
] | 37 | 2019-04-24T14:01:33.000Z | 2022-01-28T01:37:21.000Z | meraki_sdk/models/mode_2_enum.py | ankita66666666/meraki-python-sdk | 9894089eb013318243ae48869cc5130eb37f80c0 | [
"MIT"
] | 10 | 2019-07-09T16:35:11.000Z | 2021-12-07T03:47:53.000Z | meraki_sdk/models/mode_2_enum.py | ankita66666666/meraki-python-sdk | 9894089eb013318243ae48869cc5130eb37f80c0 | [
"MIT"
] | 17 | 2019-04-30T23:53:21.000Z | 2022-02-07T22:57:44.000Z | # -*- coding: utf-8 -*-
"""
meraki_sdk
This file was automatically generated for meraki by APIMATIC v2.0 ( https://apimatic.io ).
"""
class Mode2Enum(object):
"""Implementation of the 'Mode2' enum.
Either 'renew' or 'addDevices'. 'addDevices' will increase the license
limit, while ... | 29.580645 | 95 | 0.684842 |
a7e70ad48aa58c241515eec6acf8db52bfc1f641 | 2,980 | py | Python | pipeline.py | maciekszul/freesurfer_proc | 37ca127cbf04766e07548448729da56888697d55 | [
"BSD-3-Clause"
] | null | null | null | pipeline.py | maciekszul/freesurfer_proc | 37ca127cbf04766e07548448729da56888697d55 | [
"BSD-3-Clause"
] | null | null | null | pipeline.py | maciekszul/freesurfer_proc | 37ca127cbf04766e07548448729da56888697d55 | [
"BSD-3-Clause"
] | null | null | null | from tools import files
import os.path as op
import json
import argparse
import subprocess as sp
json_file = "pipeline_params.json"
# argparse input
des = "pipeline script"
parser = argparse.ArgumentParser(description=des)
parser.add_argument(
"-f",
type=str,
nargs=1,
default=json_file,
help="JS... | 20.985915 | 68 | 0.57047 |
3358e0363acb1277a40adecca74fd2b21f5061d7 | 4,500 | py | Python | python/ee/tests/featurecollection_test.py | gninglaity586/gningGIS | f0424abe81f1495797d9c45b924e8ea04f24efd5 | [
"Apache-2.0"
] | 1 | 2021-01-28T01:45:40.000Z | 2021-01-28T01:45:40.000Z | python/ee/tests/featurecollection_test.py | liangliang12/earthengine-api | f0424abe81f1495797d9c45b924e8ea04f24efd5 | [
"Apache-2.0"
] | null | null | null | python/ee/tests/featurecollection_test.py | liangliang12/earthengine-api | f0424abe81f1495797d9c45b924e8ea04f24efd5 | [
"Apache-2.0"
] | 3 | 2017-08-25T05:12:46.000Z | 2019-06-28T07:17:03.000Z | #!/usr/bin/env python
"""Test for the ee.featurecollection module."""
import mock
import unittest
import ee
from ee import apitestcase
class FeatureCollectionTestCase(apitestcase.ApiTestCase):
def testConstructors(self):
"""Verifies that constructors understand valid parameters."""
from_id = ee.Featur... | 38.461538 | 80 | 0.676667 |
f3159321d7b74ed2ee361bdf753593813ae10c35 | 3,631 | py | Python | REST_Countries/unit_tests.py | Jay4C/Cloud_Computing | 74d77acd77eae7123948441a85e7e6b570d21bc2 | [
"MIT"
] | null | null | null | REST_Countries/unit_tests.py | Jay4C/Cloud_Computing | 74d77acd77eae7123948441a85e7e6b570d21bc2 | [
"MIT"
] | null | null | null | REST_Countries/unit_tests.py | Jay4C/Cloud_Computing | 74d77acd77eae7123948441a85e7e6b570d21bc2 | [
"MIT"
] | null | null | null | import unittest
import requests
class UnitTestsRestCountriesAPI(unittest.TestCase):
def test_all(self):
url = "https://restcountries.eu/rest/v2/all"
payload = {}
headers = {}
response = requests.request("GET", url, headers=headers, data=payload)
print(response.text.encode('... | 34.913462 | 85 | 0.599835 |
0941c4a1e2cdc1cbaf15f8a870e228b60430fd75 | 671 | py | Python | Algorithms/Implementation/DesignerPDFViewer.py | gelaim/HackerRank | 8b0e51d064a390f6112d54166942db440c88b579 | [
"MIT"
] | null | null | null | Algorithms/Implementation/DesignerPDFViewer.py | gelaim/HackerRank | 8b0e51d064a390f6112d54166942db440c88b579 | [
"MIT"
] | null | null | null | Algorithms/Implementation/DesignerPDFViewer.py | gelaim/HackerRank | 8b0e51d064a390f6112d54166942db440c88b579 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'designerPdfViewer' function below.
#
# The function is expected to return an INTEGER.
# The function accepts following parameters:
# 1. INTEGER_ARRAY h
# 2. STRING word
#
def designerPdfViewer(h, word):
# Write your code ... | 18.135135 | 50 | 0.652757 |
4617eebdfaa536d847ace94707c6c33e45489645 | 6,164 | py | Python | topintersections/intersection_ui.py | uberparagon/mgn | 87eacb93177c9d41edb525bb71ae03ae45f18d14 | [
"MIT"
] | null | null | null | topintersections/intersection_ui.py | uberparagon/mgn | 87eacb93177c9d41edb525bb71ae03ae45f18d14 | [
"MIT"
] | 7 | 2020-03-17T18:07:48.000Z | 2021-03-19T12:54:49.000Z | topintersections/intersection_ui.py | uberparagon/mgn | 87eacb93177c9d41edb525bb71ae03ae45f18d14 | [
"MIT"
] | 1 | 2020-02-20T09:28:51.000Z | 2020-02-20T09:28:51.000Z | """
This file implements the user interface. This is the file that should be loaded by the user. It will import everything you need.
"""
from __future__ import absolute_import
#from six.moves.cPickle import dump, load, UnpicklingError
import pickle
try:
from .intersection7 import *
from .TautRing3 import Mg... | 37.357576 | 372 | 0.609507 |
083aeb2563bc391f69079e59851bb405b0b8a926 | 4,264 | py | Python | server/tracking.py | MrRedbloX/SmartphoneToVirtuality | 287e0677a12cf1f13ae18a9d5f7354ec20681060 | [
"MIT"
] | null | null | null | server/tracking.py | MrRedbloX/SmartphoneToVirtuality | 287e0677a12cf1f13ae18a9d5f7354ec20681060 | [
"MIT"
] | null | null | null | server/tracking.py | MrRedbloX/SmartphoneToVirtuality | 287e0677a12cf1f13ae18a9d5f7354ec20681060 | [
"MIT"
] | null | null | null | import cv2
from VideoCaptureAsync import VideoCaptureAsync
import numpy as np
from math import *
from operator import and_,truth,add
from functools import reduce
from itertools import *
from more_itertools import *
import argparse
from client import ODUdp
from time import time
from reconstruction import Reconstruct... | 31.820896 | 104 | 0.665338 |
1b8fdc440f69c2eeab595e914ac2c8e98a97b725 | 20,052 | py | Python | vispy/app/canvas.py | MatthieuDartiailh/vispy | 09d429be361a148b0614a192f56d4070c624072c | [
"BSD-3-Clause"
] | null | null | null | vispy/app/canvas.py | MatthieuDartiailh/vispy | 09d429be361a148b0614a192f56d4070c624072c | [
"BSD-3-Clause"
] | null | null | null | vispy/app/canvas.py | MatthieuDartiailh/vispy | 09d429be361a148b0614a192f56d4070c624072c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2014, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
from __future__ import division, print_function
import numpy as np
from ._default_app import default_app
from ..util.event import EmitterGroup, Event, WarningEmitter
from ..... | 33.198675 | 79 | 0.592509 |
a12a4c4a5e8878baa8e02622ebde5d5722f131db | 1,134 | py | Python | CodeAnalysis/SourceMeter_Interface/SourceMeter-8.2.0-x64-linux/Python/Demo/ceilometer/ceilometer/tests/storage/test_impl_log.py | ishtjot/susereumutep | 56e20c1777e0c938ac42bd8056f84af9e0b76e46 | [
"Apache-2.0"
] | 2 | 2018-11-07T20:52:53.000Z | 2019-10-20T15:57:01.000Z | CodeAnalysis/SourceMeter_Interface/SourceMeter-8.2.0-x64-linux/Python/Demo/ceilometer/ceilometer/tests/storage/test_impl_log.py | ishtjot/susereumutep | 56e20c1777e0c938ac42bd8056f84af9e0b76e46 | [
"Apache-2.0"
] | 3 | 2021-12-14T20:57:54.000Z | 2022-01-21T23:50:36.000Z | CodeAnalysis/SourceMeter_Interface/SourceMeter-8.2.0-x64-linux/Python/Demo/ceilometer/ceilometer/tests/storage/test_impl_log.py | ishtjot/susereumutep | 56e20c1777e0c938ac42bd8056f84af9e0b76e46 | [
"Apache-2.0"
] | 2 | 2018-11-16T04:20:06.000Z | 2019-03-28T23:49:13.000Z | #
# Copyright 2012 New Dream Network, LLC (DreamHost)
#
# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
#
# 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.apac... | 36.580645 | 76 | 0.662257 |
386381eebbd8b236919f3d51ecbc5193c0ebc65e | 572 | py | Python | terrascript/provider/invidian/stdlib.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/provider/invidian/stdlib.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/provider/invidian/stdlib.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/provider/invidian/stdlib.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:27:59 UTC)
import terrascript
class stdlib(terrascript.Provider):
"""Terraform provider with collection of useful data sources"""
__description__ = "Terraform provider with collection of useful data sour... | 28.6 | 81 | 0.729021 |
3b546852b0c60a8f241edbab80c55123aa487877 | 10,597 | py | Python | airbyte-integrations/connectors/source-google-sheets/unit_tests/test_helpers.py | golf-canada/airbyte | a81b183a6b62d6bb4256347aaf39a3ada061aabe | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-google-sheets/unit_tests/test_helpers.py | golf-canada/airbyte | a81b183a6b62d6bb4256347aaf39a3ada061aabe | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-google-sheets/unit_tests/test_helpers.py | golf-canada/airbyte | a81b183a6b62d6bb4256347aaf39a3ada061aabe | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2020 Airbyte
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, publish, distr... | 43.430328 | 134 | 0.66868 |
d1de6a08c19e8651d45bf0dd7c7ba9d604a53b84 | 3,165 | py | Python | scripts/evaluate_on_all.py | ikergarcia1996/word-embeddings-benchmarks | da035aacf799d268a707f8e8f98a69f1f4618d73 | [
"MIT"
] | null | null | null | scripts/evaluate_on_all.py | ikergarcia1996/word-embeddings-benchmarks | da035aacf799d268a707f8e8f98a69f1f4618d73 | [
"MIT"
] | null | null | null | scripts/evaluate_on_all.py | ikergarcia1996/word-embeddings-benchmarks | da035aacf799d268a707f8e8f98a69f1f4618d73 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This script calculates embedding results against all available fast running
benchmarks in the repository and saves results as single row csv table.
Usage: ./evaluate_on_all -f <path to file> -o <path to output file>
NOTE:
* script doesn't evaluate on WordRep (nor... | 35.965909 | 111 | 0.64455 |
2067bc826451757bd1a58930dce910f188db5412 | 671 | py | Python | textkit/tokenize/words.py | learntextvis/textkit | 6c482ea7d378022e10ee1002f9d9db7925856294 | [
"MIT"
] | 29 | 2016-01-13T00:55:53.000Z | 2022-02-03T06:38:10.000Z | textkit/tokenize/words.py | irealva/textkit | 858053a0e4c1f2cc4160873a4eb429c518f48ca2 | [
"MIT"
] | 46 | 2016-01-18T19:17:50.000Z | 2019-12-20T04:55:04.000Z | textkit/tokenize/words.py | irealva/textkit | 858053a0e4c1f2cc4160873a4eb429c518f48ca2 | [
"MIT"
] | 9 | 2016-04-24T20:01:37.000Z | 2019-01-15T08:54:11.000Z | import click
import nltk
from textkit.utils import output
@click.command()
@click.argument('text', type=click.Path(exists=True), nargs=-1)
def text2words(text):
'''Tokenize text into word tokens.
Punctuation is considered as a separate token.'''
content = '\n'.join([open(f).read() for f in text])
toke... | 31.952381 | 73 | 0.66468 |
30a27d90c416beedfdef7467bbbe5ecc57082231 | 684 | py | Python | blocks/metrics.py | Aaron-Jin-Xu/probabilistic-semantic-image-inpainting | 8ce630eaf7e8f9ef5fc5ad19d5474d050d71807d | [
"MIT"
] | 1 | 2020-04-19T22:48:25.000Z | 2020-04-19T22:48:25.000Z | blocks/metrics.py | Aaron-Jin-Xu/probabilistic-semantic-image-inpainting | 8ce630eaf7e8f9ef5fc5ad19d5474d050d71807d | [
"MIT"
] | null | null | null | blocks/metrics.py | Aaron-Jin-Xu/probabilistic-semantic-image-inpainting | 8ce630eaf7e8f9ef5fc5ad19d5474d050d71807d | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
# def nats_per_dim(nll, dim):
# -nll / dim + np.log(128)
#
# def nats_to_bits(nats):
# return nats / np.log(2)
#
# def bits_per_dim(nll, dim):
# return nats_to_bits(nats_per_dim(nll, dim))
#
# def nats_per_dim_tf(nll, dim):
# return -nll / dim + tf.math.log(12... | 27.36 | 98 | 0.678363 |
ee7044dbb8c3a91a8de2801ac338b16e46b90274 | 193 | py | Python | source_code/pypeflow/core/__init__.py | TomLXXVI/pypeflow | 49e42621180ec3125afa238d3ca56ae9f3a7662a | [
"MIT"
] | 4 | 2020-05-26T01:11:08.000Z | 2021-09-15T20:24:31.000Z | source_code/pypeflow/core/__init__.py | robertspark/pypeflow | 49e42621180ec3125afa238d3ca56ae9f3a7662a | [
"MIT"
] | null | null | null | source_code/pypeflow/core/__init__.py | robertspark/pypeflow | 49e42621180ec3125afa238d3ca56ae9f3a7662a | [
"MIT"
] | 1 | 2022-01-19T20:26:11.000Z | 2022-01-19T20:26:11.000Z | """
# Core modules around which PyFlow is built
"""
from pypeflow.core.pipe import Pipe
from pypeflow.core.fitting import Fitting
from pypeflow.core.valves import BalancingValve, ControlValve
| 24.125 | 61 | 0.803109 |
8d828599024b8a15235d4225ef224e9f9144a56e | 2,473 | py | Python | scripts/pineapple/pydwarf.useablemats.py | Charcoal-Apple/PyDwarf | 6f2dd294509c83802e06b9ca5e084f89c9fe4bda | [
"Zlib"
] | 49 | 2015-05-21T19:40:41.000Z | 2021-09-30T03:04:32.000Z | scripts/pineapple/pydwarf.useablemats.py | Charcoal-Apple/PyDwarf | 6f2dd294509c83802e06b9ca5e084f89c9fe4bda | [
"Zlib"
] | 6 | 2015-05-30T01:50:01.000Z | 2021-09-22T14:22:41.000Z | scripts/pineapple/pydwarf.useablemats.py | Charcoal-Apple/PyDwarf | 6f2dd294509c83802e06b9ca5e084f89c9fe4bda | [
"Zlib"
] | 13 | 2015-05-23T16:26:31.000Z | 2021-09-05T18:46:36.000Z | import pydwarf
default_options = {
'scales': ('SCALE_TEMPLATE', '[LEATHER][ITEMS_LEATHER][MATERIAL_REACTION_PRODUCT:TAN_MAT:LOCAL_CREATURE_MAT:SCALE]'),
'feathers': ('FEATHER_TEMPLATE', '[PEARL][ITEMS_SOFT]'),
'chitin': ('CHITIN_TEMPLATE', '[SHELL][ITEMS_HARD][ITEMS_SCALED]')
}
@pydwarf.urist(
nam... | 44.963636 | 121 | 0.656692 |
6ae928358b8beef0b0312cdcce2f1a11d78075b5 | 171 | py | Python | yatube_api/yatube_api/wsgi.py | ilyarogozin/api_final_yatube | bb5e15eb66ab109b2fb529c4b47648d7a51f29ee | [
"MIT"
] | null | null | null | yatube_api/yatube_api/wsgi.py | ilyarogozin/api_final_yatube | bb5e15eb66ab109b2fb529c4b47648d7a51f29ee | [
"MIT"
] | null | null | null | yatube_api/yatube_api/wsgi.py | ilyarogozin/api_final_yatube | bb5e15eb66ab109b2fb529c4b47648d7a51f29ee | [
"MIT"
] | null | null | null | import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'yatube_api.settings')
application = get_wsgi_application()
| 21.375 | 70 | 0.830409 |
4e58476d0e7ccbb9157fb627d38f8541ffd2a549 | 2,159 | py | Python | neo4j_api/test_model_interface.py | jasonjimnz/ORT | 2006e5cdb11850bbe2e5b955cfaaeb08b8ef864d | [
"MIT"
] | null | null | null | neo4j_api/test_model_interface.py | jasonjimnz/ORT | 2006e5cdb11850bbe2e5b955cfaaeb08b8ef864d | [
"MIT"
] | null | null | null | neo4j_api/test_model_interface.py | jasonjimnz/ORT | 2006e5cdb11850bbe2e5b955cfaaeb08b8ef864d | [
"MIT"
] | null | null | null | import random
import requests
from faker import Faker
fake = Faker('es_ES')
class PersonGenerator:
faker_instance = fake
minube_api_key = None
cities_list = []
def __init__(self, minube_api_key, cities=None):
self.minube_api_key = minube_api_key
if cities:
self.cities_list... | 23.725275 | 84 | 0.509032 |
7617fe67eaa90a5537d5abbd75f936a46f4d72bf | 1,908 | py | Python | infomemes/to_from_file.py | luiztauffer/infomemes | 7a54546aa688b703e6e020e53eeabae9dc922619 | [
"MIT"
] | null | null | null | infomemes/to_from_file.py | luiztauffer/infomemes | 7a54546aa688b703e6e020e53eeabae9dc922619 | [
"MIT"
] | null | null | null | infomemes/to_from_file.py | luiztauffer/infomemes | 7a54546aa688b703e6e020e53eeabae9dc922619 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import json
def save_stepwise_data(sim, fname):
# Simulation metadata
metadata = {
'duration': sim.current_step,
}
metadata.update(sim.config)
file_dict = {}
file_dict['metadata'] = metadata
file_dict['data'] = sim.stepwise_values
with o... | 26.136986 | 123 | 0.623166 |
36fc6e8ad2ae01f31c61a039701e70915a3df20e | 673 | py | Python | mercury_ml/tensorflow/model_loading.py | mercury-ml-team/mercury-ml | 8d27816490f0be46f871e889e4635e9223b7044c | [
"MIT"
] | 43 | 2019-02-01T15:22:09.000Z | 2020-02-21T12:51:42.000Z | mercury_ml/tensorflow/model_loading.py | mercury-ml-team/mercury-ml | 8d27816490f0be46f871e889e4635e9223b7044c | [
"MIT"
] | 17 | 2019-02-15T12:52:18.000Z | 2019-05-09T15:42:51.000Z | mercury_ml/tensorflow/model_loading.py | mercury-ml-team/mercury-ml | 8d27816490f0be46f871e889e4635e9223b7044c | [
"MIT"
] | 12 | 2019-02-02T16:48:10.000Z | 2019-12-16T15:40:15.000Z | def load_hdf5_model(local_dir, filename, extension=".h5", custom_objects=None):
"""
Loads a Keras model that was saved in ".h5" format
:param string local_dir: Local directory where the model is saved
:param string filename: Filename with which the model is saved
:param string extension: Extension ... | 51.769231 | 127 | 0.744428 |
fd9b66d8186461a6e4cbe8f09a7935d19155cf82 | 462 | py | Python | OpenEyetap_Applications/Nanoleaf/nanotest.py | JustinLokHinWu/OpenEyeTap | cb0b23917663668fb8a95b01417c900d7001f594 | [
"MIT"
] | null | null | null | OpenEyetap_Applications/Nanoleaf/nanotest.py | JustinLokHinWu/OpenEyeTap | cb0b23917663668fb8a95b01417c900d7001f594 | [
"MIT"
] | null | null | null | OpenEyetap_Applications/Nanoleaf/nanotest.py | JustinLokHinWu/OpenEyeTap | cb0b23917663668fb8a95b01417c900d7001f594 | [
"MIT"
] | null | null | null | import requests
import json
auth = "akYZIxhpNARKoOr18kDAOy3ihz3JhS8F"
path = "10.0.0.204:16021"
def get_path():
return "http://" + path + "/api/v1/" + auth + "/"
# r = requests.get(get_path())
while(True):
command = input().split(' ')
if(command[0] == "get"):
r = requests.get(get_path() + comma... | 20.086957 | 78 | 0.58658 |
bd0c6ed5b615bda8f08b8258f4fe2e177e6e8d48 | 430 | py | Python | packages/python/plotly/plotly/validators/icicle/domain/_row.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/icicle/domain/_row.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/icicle/domain/_row.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="row", parent_name="icicle.domain", **kwargs):
super(RowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edi... | 33.076923 | 81 | 0.644186 |
361ac8d0a619d0ebec5c64949885e9228a71353a | 251 | py | Python | 基础教程/A1-Python与基础知识/算法第一步/ExampleCodes/chapter06/6-6.py | microsoft/ai-edu | 2f59fa4d3cf19f14e0b291e907d89664bcdc8df3 | [
"Apache-2.0"
] | 11,094 | 2019-05-07T02:48:50.000Z | 2022-03-31T08:49:42.000Z | 基础教程/A1-Python与基础知识/算法第一步/ExampleCodes/chapter06/6-6.py | microsoft/ai-edu | 2f59fa4d3cf19f14e0b291e907d89664bcdc8df3 | [
"Apache-2.0"
] | 157 | 2019-05-13T15:07:19.000Z | 2022-03-23T08:52:32.000Z | 基础教程/A1-Python与基础知识/算法第一步/ExampleCodes/chapter06/6-6.py | microsoft/ai-edu | 2f59fa4d3cf19f14e0b291e907d89664bcdc8df3 | [
"Apache-2.0"
] | 2,412 | 2019-05-07T02:55:15.000Z | 2022-03-30T06:56:52.000Z | print("The price of this %s is %d dollars." % ("hotdog", 4.0))
print("The price of this %s is %s dollars." % ("hotdog", 4.0))
print("The price of this %s is %d dollars." % ("meal", 12.25))
print("The price of this %s is %s dollars." % ("meal", 12.25)) | 62.75 | 62 | 0.605578 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.