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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f78ef50ad89efbe6e2a486d519ded0161d99b9ce | 5,945 | py | Python | alipay/aop/api/domain/JourneyLocation.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/JourneyLocation.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/JourneyLocation.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.OrderExtInfo import OrderExtInfo
class JourneyLocation(object):
def __init__(self):
self._aoi_id = None
self._city = None
self._ext_info = None
... | 31.62234 | 91 | 0.57746 |
f78f2ef91f80bae5f7c2234cba2d00f601cb658d | 10,120 | py | Python | sktime/performance_metrics/forecasting/probabilistic/_classes.py | FedericoGarza/sktime | b21cdd81453abd34c72b42d4b2273b49d29eba30 | [
"BSD-3-Clause"
] | null | null | null | sktime/performance_metrics/forecasting/probabilistic/_classes.py | FedericoGarza/sktime | b21cdd81453abd34c72b42d4b2273b49d29eba30 | [
"BSD-3-Clause"
] | null | null | null | sktime/performance_metrics/forecasting/probabilistic/_classes.py | FedericoGarza/sktime | b21cdd81453abd34c72b42d4b2273b49d29eba30 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3 -u
# -*- coding: utf-8 -*-
# copyright: sktime developers, BSD-3-Clause License (see LICENSE file)
import numpy as np
# TODO: add formal tests
import pandas as pd
from sklearn.utils import check_array, check_consistent_length
from sktime.datatypes import check_is_scitype, convert
from sktime.p... | 36.142857 | 88 | 0.598221 |
f78f37a644639e3efcbb0596177ea4b09c0ff9de | 3,210 | py | Python | services/showcase/api/endpoints/routes/sandbox.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 12 | 2022-01-29T20:30:03.000Z | 2022-03-29T11:46:14.000Z | services/showcase/api/endpoints/routes/sandbox.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 38 | 2021-11-22T17:52:50.000Z | 2022-03-31T17:52:00.000Z | services/showcase/api/endpoints/routes/sandbox.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 9 | 2021-11-22T18:05:48.000Z | 2022-03-29T11:25:08.000Z | import logging
from typing import List
from uuid import UUID
from fastapi import APIRouter, Depends
from sqlalchemy.ext.asyncio import AsyncSession
from starlette import status
from api.db.models.sandbox import SandboxCreate
from api.db.models.related import SandboxReadPopulated, OutOfBandReadPopulated
from api.db.re... | 30.571429 | 85 | 0.774143 |
f78f848e1c524ce2d3ef30ab5cd7ecf634242047 | 5,761 | py | Python | river/datasets/synth/stagger.py | online-ml/creme | 60872844e6052b5ef20e4075aea30f9031377136 | [
"BSD-3-Clause"
] | 1,105 | 2019-01-24T15:15:30.000Z | 2020-11-10T18:27:00.000Z | river/datasets/synth/stagger.py | online-ml/creme | 60872844e6052b5ef20e4075aea30f9031377136 | [
"BSD-3-Clause"
] | 328 | 2019-01-25T13:48:43.000Z | 2020-11-11T11:41:44.000Z | river/datasets/synth/stagger.py | online-ml/creme | 60872844e6052b5ef20e4075aea30f9031377136 | [
"BSD-3-Clause"
] | 150 | 2019-01-29T19:05:21.000Z | 2020-11-11T11:50:14.000Z | import numpy as np
from river import datasets
from river.utils.skmultiflow_utils import check_random_state
class STAGGER(datasets.base.SyntheticDataset):
"""STAGGER concepts stream generator.
This generator is an implementation of the dara stream with abrupt concept
drift, as described in [^1].
The... | 36.00625 | 85 | 0.609443 |
f78fa79ad3f8dd2312f337383fdb8aa35163fe84 | 2,578 | py | Python | backend/metagrid/cart/models.py | tomvothecoder/metagrid | a38f3f78fbaf78f909c74a263c03a3f6d376b75c | [
"MIT"
] | 5 | 2020-06-08T23:20:33.000Z | 2021-11-29T15:25:27.000Z | backend/metagrid/cart/models.py | aims-group/metagrid | 32bd76638d80c3da7529a73ab8509eb53264c8dc | [
"MIT"
] | 359 | 2020-04-24T19:45:56.000Z | 2022-03-31T18:04:12.000Z | backend/metagrid/cart/models.py | tomvothecoder/metagrid | a38f3f78fbaf78f909c74a263c03a3f6d376b75c | [
"MIT"
] | 1 | 2021-03-01T17:27:43.000Z | 2021-03-01T17:27:43.000Z | import uuid
from django.contrib.postgres.fields import ArrayField
from django.db import models
from django.db.models import JSONField as JSONBField # type: ignore
# mypy does not have support for some Django 3.x features (e.g. JSONField)
# https://github.com/typeddjango/django-stubs/issues/439
class Cart(models.Mo... | 29.632184 | 104 | 0.664469 |
f7901546b35e68cd041ea692fea056b53594460f | 5,260 | py | Python | queue_services/entity-emailer/src/entity_emailer/worker.py | ochiu/lear | b4ef397ede4e4ffe5267ad84dd7eb887cfc05159 | [
"Apache-2.0"
] | null | null | null | queue_services/entity-emailer/src/entity_emailer/worker.py | ochiu/lear | b4ef397ede4e4ffe5267ad84dd7eb887cfc05159 | [
"Apache-2.0"
] | null | null | null | queue_services/entity-emailer/src/entity_emailer/worker.py | ochiu/lear | b4ef397ede4e4ffe5267ad84dd7eb887cfc05159 | [
"Apache-2.0"
] | null | null | null | # Copyright © 2019 Province of British Columbia
#
# 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 agr... | 43.833333 | 113 | 0.712548 |
f7907aadd296c14d35454b819523aadce8df37f6 | 9,128 | py | Python | section2 - Copy/src/experiments/UNetExperiment.py | root-dh-94/Hippocampal-Volume-Quantification-in-Alzheimer-s-Progression | 6aba08ba44248af08efb5c19b5f95d3643a025f4 | [
"MIT"
] | null | null | null | section2 - Copy/src/experiments/UNetExperiment.py | root-dh-94/Hippocampal-Volume-Quantification-in-Alzheimer-s-Progression | 6aba08ba44248af08efb5c19b5f95d3643a025f4 | [
"MIT"
] | null | null | null | section2 - Copy/src/experiments/UNetExperiment.py | root-dh-94/Hippocampal-Volume-Quantification-in-Alzheimer-s-Progression | 6aba08ba44248af08efb5c19b5f95d3643a025f4 | [
"MIT"
] | null | null | null | """
This module represents a UNet experiment and contains a class that handles
the experiment lifecycle
"""
import os
import time
import numpy as np
import torch
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
from ... | 33.933086 | 119 | 0.594873 |
f7908ca6082637eebabe1eb61e43629e7fb8395f | 1,152 | py | Python | runtime/python/test/test_clownfish.py | dgreatwood/lucy-clownfish | d89bbfb3dc9ec8bb7eaba9a8eb2555c7e42669c9 | [
"Apache-2.0"
] | 7 | 2015-04-04T08:35:51.000Z | 2021-11-10T15:44:30.000Z | runtime/python/test/test_clownfish.py | dgreatwood/lucy-clownfish | d89bbfb3dc9ec8bb7eaba9a8eb2555c7e42669c9 | [
"Apache-2.0"
] | 24 | 2015-04-22T14:35:06.000Z | 2016-07-22T14:05:53.000Z | runtime/python/test/test_clownfish.py | dgreatwood/lucy-clownfish | d89bbfb3dc9ec8bb7eaba9a8eb2555c7e42669c9 | [
"Apache-2.0"
] | 13 | 2015-04-20T17:22:24.000Z | 2021-11-10T15:42:43.000Z | # 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 use ... | 36 | 74 | 0.758681 |
f790a65e337c53a70d2a9b92c2a04f36c99c0940 | 34,668 | py | Python | Documentation/my_module.py | alirkaya/card-fraud-detection | 90e4639c55a8502e03c35660a7b86a847c069cfb | [
"MIT"
] | 2 | 2020-09-29T23:34:28.000Z | 2020-10-03T19:25:11.000Z | Documentation/my_module.py | alirkaya/card-fraud-detection | 90e4639c55a8502e03c35660a7b86a847c069cfb | [
"MIT"
] | null | null | null | Documentation/my_module.py | alirkaya/card-fraud-detection | 90e4639c55a8502e03c35660a7b86a847c069cfb | [
"MIT"
] | null | null | null | """Prepared by [Ali Rifat Kaya](https://www.linkedin.com/in/alirifatkaya/)
"""
def pr_auc_score(y_test, predicted_probabilities):
"""Return AUCPR (Area Under Curve Precision-Recall) score
Parameters
----------
y_test : Test set target values
Example:
# df is a pandas dataframe with f... | 37.600868 | 114 | 0.535335 |
f790abb963a236d9b9ab670daf288c5eeafdb53e | 958 | py | Python | sdks/python/test/test_DistributionResponse.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | null | null | null | sdks/python/test/test_DistributionResponse.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 6 | 2019-10-23T06:38:53.000Z | 2022-01-22T07:57:58.000Z | sdks/python/test/test_DistributionResponse.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 2 | 2019-10-23T06:31:05.000Z | 2021-08-21T17:32:47.000Z | # coding: utf-8
"""
App Center Client
Microsoft Visual Studio App Center API # noqa: E501
OpenAPI spec version: preview
Contact: benedetto.abbenanti@gmail.com
Project Repository: https://github.com/b3nab/appcenter-sdks
"""
from __future__ import absolute_import
import unittest
import appcente... | 23.95 | 99 | 0.728601 |
f790ba05f5564d3c796c8017438caf965b9dc8a2 | 69 | py | Python | codechef/ltime15/hhal2.py | shauryachawla/misc | e50eb7c8979f9b3f7ecc43464cf7ccc91bf4d0bb | [
"MIT"
] | null | null | null | codechef/ltime15/hhal2.py | shauryachawla/misc | e50eb7c8979f9b3f7ecc43464cf7ccc91bf4d0bb | [
"MIT"
] | null | null | null | codechef/ltime15/hhal2.py | shauryachawla/misc | e50eb7c8979f9b3f7ecc43464cf7ccc91bf4d0bb | [
"MIT"
] | 1 | 2019-10-07T08:22:09.000Z | 2019-10-07T08:22:09.000Z | t = input('')
for _ in xrange(t):
h = raw_input('')
print 1
| 11.5 | 21 | 0.507246 |
f790bb359cb6046427dd4e0b4d05c16189697154 | 1,835 | py | Python | dali_tf_plugin/dali_compile_flags.py | ancientmooner/DALI | 355e8db8130cee0d20e9ae3d698f195278544995 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2020-05-09T03:07:07.000Z | 2021-06-15T14:48:04.000Z | dali_tf_plugin/dali_compile_flags.py | ancientmooner/DALI | 355e8db8130cee0d20e9ae3d698f195278544995 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | dali_tf_plugin/dali_compile_flags.py | ancientmooner/DALI | 355e8db8130cee0d20e9ae3d698f195278544995 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-04-26T14:59:51.000Z | 2020-04-26T14:59:51.000Z | #!/usr/bin/python
import sys
import os
import argparse
def get_module_path(module_name):
module_path = ''
for d in sys.path:
possible_path = os.path.join(d, module_name)
# skip current dir as this is plugin dir
if os.path.isdir(possible_path) and len(d) != 0:
module_path = ... | 31.637931 | 95 | 0.66267 |
f790bbf3aba0ac982d8ba6193a9250dee13b630c | 1,856 | py | Python | sites/demokraatti.py | joniok/hybra-medialoader | ebc6df58287b5146917d66de69d807309cea4a8f | [
"MIT"
] | null | null | null | sites/demokraatti.py | joniok/hybra-medialoader | ebc6df58287b5146917d66de69d807309cea4a8f | [
"MIT"
] | 14 | 2016-10-14T15:09:42.000Z | 2017-03-01T14:29:29.000Z | sites/demokraatti.py | joniok/hybra-medialoader | ebc6df58287b5146917d66de69d807309cea4a8f | [
"MIT"
] | 1 | 2020-11-18T13:06:48.000Z | 2020-11-18T13:06:48.000Z | # -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import processor
from datetime import datetime
def parse( url ):
r = requests.get( url )
if r.status_code == 404:
return processor.create_dictionary('', url, r.status_code, [u''], [u''], u'', u'', u'', u'', [u''], [u''])
r.encoding = 'UTF-8'... | 40.347826 | 138 | 0.696121 |
f790cb05a9d30d627af64cf790b277596e207a60 | 1,154 | py | Python | google-cloud-sdk/lib/surface/ml/operations/delete.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/lib/surface/ml/operations/delete.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/.install/.backup/lib/surface/ml/operations/delete.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2020-07-25T12:09:01.000Z | 2020-07-25T12:09:01.000Z | # Copyright 2017 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 required by applicable law or ag... | 36.0625 | 74 | 0.768631 |
f790cc9ce9c72d18c2ee5aeb0a44757dde1929d6 | 4,030 | py | Python | models/metagan_queryattentive.py | snji-khjuria/RelationClassificationFewShotModels | a5047f44a57a81ab3281bf1290fa149a4c456486 | [
"MIT"
] | null | null | null | models/metagan_queryattentive.py | snji-khjuria/RelationClassificationFewShotModels | a5047f44a57a81ab3281bf1290fa149a4c456486 | [
"MIT"
] | null | null | null | models/metagan_queryattentive.py | snji-khjuria/RelationClassificationFewShotModels | a5047f44a57a81ab3281bf1290fa149a4c456486 | [
"MIT"
] | null | null | null | #creating the metagan model
import torch
import torch.nn as nn
import sys
sys.path.append('..')
import fewshot_re_kit
import torch
from torch import autograd, optim, nn
from torch.autograd import Variable
from torch.nn import functional as F
class MetaGenerator(fewshot_re_kit.adversarial_framework.FewShotAdver... | 34.741379 | 103 | 0.612655 |
f790e8c5174728a1655f869a09732a8715b01245 | 9,500 | py | Python | src/trainDEC.py | Crazy-Jack/SpatialExpGeneCluster | 9e57c308d1c577a936a2358d0641c65b8130034f | [
"MIT"
] | null | null | null | src/trainDEC.py | Crazy-Jack/SpatialExpGeneCluster | 9e57c308d1c577a936a2358d0641c65b8130034f | [
"MIT"
] | null | null | null | src/trainDEC.py | Crazy-Jack/SpatialExpGeneCluster | 9e57c308d1c577a936a2358d0641c65b8130034f | [
"MIT"
] | null | null | null | import argparse
import os, sys
import torch
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
import torchvision
from torchvision import transforms
from PIL import Image
import numpy as np
from tqdm import tqdm
from sklearn.cluster import KMeans
from scipy.stats import ortho_group
... | 33.928571 | 138 | 0.633579 |
f790f4117ef334d24f8df70bb1b6811a4601da0f | 2,716 | py | Python | src/modules/tcp/domain.py | The-Cracker-Technology/nullscan | 47fb41f17c59201a0d65a14705b4ff95fcc50a03 | [
"MIT"
] | 46 | 2020-04-18T16:42:59.000Z | 2022-01-31T22:08:52.000Z | src/modules/tcp/domain.py | The-Cracker-Technology/nullscan | 47fb41f17c59201a0d65a14705b4ff95fcc50a03 | [
"MIT"
] | null | null | null | src/modules/tcp/domain.py | The-Cracker-Technology/nullscan | 47fb41f17c59201a0d65a14705b4ff95fcc50a03 | [
"MIT"
] | 11 | 2020-04-23T12:46:18.000Z | 2022-02-04T12:53:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*- ########################################################
# ____ _ __ #
# ___ __ __/ / /__ ___ ______ ______(_) /___ __ #
# / _ \/ // / / (_-</ -_) __/ // / __/ / __/ // / ... | 25.866667 | 80 | 0.365979 |
f7912e01c2b5af74e31578ecada4499621d47496 | 140 | py | Python | basic/pass.py | Dmendoza3/Phyton | e6c563609724b2dadcd767d2bfc291090ac2f58e | [
"MIT"
] | null | null | null | basic/pass.py | Dmendoza3/Phyton | e6c563609724b2dadcd767d2bfc291090ac2f58e | [
"MIT"
] | null | null | null | basic/pass.py | Dmendoza3/Phyton | e6c563609724b2dadcd767d2bfc291090ac2f58e | [
"MIT"
] | null | null | null | #pass does nothing equivalent to nop in assembler
#pass can be used to define an empty object or empty function
for i in range(10):
pass | 35 | 61 | 0.764286 |
f79158e3cd211fc03f644ddde9e6cf1c7399a772 | 400 | py | Python | Courses/Udacity/CS101/Lesson_3_How_to_Manage_Data/29-Union/supplied/studentMain.py | leparrav/Playground | dcb90a2dd2bc1867511cfe621eb21248a60e357f | [
"Unlicense"
] | 1 | 2019-02-13T12:02:26.000Z | 2019-02-13T12:02:26.000Z | Courses/Udacity/CS101/Lesson_3_How_to_Manage_Data/29-Union/supplied/studentMain.py | leparrav/Playground | dcb90a2dd2bc1867511cfe621eb21248a60e357f | [
"Unlicense"
] | 1 | 2018-08-13T15:58:33.000Z | 2018-08-13T15:58:33.000Z | Courses/Udacity/CS101/Lesson_3_How_to_Manage_Data/29-Union/supplied/studentMain.py | leparrav/Playground | dcb90a2dd2bc1867511cfe621eb21248a60e357f | [
"Unlicense"
] | 2 | 2017-08-10T20:01:29.000Z | 2021-07-01T08:39:13.000Z | # Define a procedure, union,
# that takes as inputs two lists.
# It should modify the first input
# list to be the set union of the two
# lists. You may assume the first list
# is a set, that is, it contains no
# repeated elements.
# To test, uncomment all lines
# below except those beginning with >>>.
#a = [1... | 16.666667 | 40 | 0.64 |
f7916bccf2fb1955e84452c4d89f666d9d1adad8 | 9,378 | py | Python | atom3d/util/graph.py | bfabiandev/atom3d | b2499ff743be2e851c286cabf64696682abffa44 | [
"MIT"
] | null | null | null | atom3d/util/graph.py | bfabiandev/atom3d | b2499ff743be2e851c286cabf64696682abffa44 | [
"MIT"
] | null | null | null | atom3d/util/graph.py | bfabiandev/atom3d | b2499ff743be2e851c286cabf64696682abffa44 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.spatial as ss
import torch
import atom3d.util.formats as fo
# PDB atom names -- these include co-crystallized metals
prot_atoms = ['C', 'H', 'O', 'N', 'S', 'P', 'ZN', 'NA', 'FE', 'CA', 'MN', 'NI', 'CO', 'MG', 'CU', 'CL', 'SE', 'F']
# RDKit molecule atom names
mol_atoms = ['C', 'N', 'O'... | 49.619048 | 245 | 0.68778 |
f79182d5d9da5c4f6e68717b3daec5b47a32c556 | 13,432 | py | Python | iver.py | SanjibSarkarU/EDRC | c2408fad8b007b4709ee91caf173f98612afadb1 | [
"Apache-2.0"
] | null | null | null | iver.py | SanjibSarkarU/EDRC | c2408fad8b007b4709ee91caf173f98612afadb1 | [
"Apache-2.0"
] | null | null | null | iver.py | SanjibSarkarU/EDRC | c2408fad8b007b4709ee91caf173f98612afadb1 | [
"Apache-2.0"
] | null | null | null | import datetime
import re
import threading
import time
import tkinter as tk
from collections import deque
from queue import Queue
from time import monotonic
import pandas as pd
import rasterio
import serial
from geographiclib.geodesic import Geodesic
from matplotlib import pyplot as plt, animation
from matplotlib.back... | 47.295775 | 138 | 0.552412 |
f79184c30dd2e03c6b6934d66521fbd4c3946d76 | 5,520 | py | Python | tests/sharepoint/test_client.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | tests/sharepoint/test_client.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | tests/sharepoint/test_client.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | from unittest import TestCase
from office365.runtime.client_value_collection import ClientValueCollection
from office365.sharepoint.tenant.administration.secondary_administrators_fields_data import \
SecondaryAdministratorsFieldsData
from settings import settings
from tests import random_seed
from office365.runti... | 46.779661 | 149 | 0.742754 |
f79188e37c12743d1d0db4db200b7de421ff73f7 | 4,049 | py | Python | testing_tool/my_tool/symbolic/symbolic_types/symbolic_type.py | george1459/ICSE2022_158 | f8bb797fc003f11485d3552f81cc7b8ba8a22b9b | [
"BSD-2-Clause"
] | 1 | 2022-03-07T03:38:09.000Z | 2022-03-07T03:38:09.000Z | testing_tool/my_tool/symbolic/symbolic_types/symbolic_type.py | george1459/ICSE2022_158 | f8bb797fc003f11485d3552f81cc7b8ba8a22b9b | [
"BSD-2-Clause"
] | null | null | null | testing_tool/my_tool/symbolic/symbolic_types/symbolic_type.py | george1459/ICSE2022_158 | f8bb797fc003f11485d3552f81cc7b8ba8a22b9b | [
"BSD-2-Clause"
] | 1 | 2022-01-12T05:30:40.000Z | 2022-01-12T05:30:40.000Z | # Copyright: see copyright.txt
import utils
import inspect
import functools
# the ABSTRACT base class for representing any expression that depends on a symbolic input
# it also tracks the corresponding concrete value for the expression (aka concolic execution)
class SymbolicType(object):
def __init__(self, name, ex... | 28.921429 | 96 | 0.692764 |
f791ab2f95b57fda479c9ef415618f93ffad8de3 | 2,542 | py | Python | termine-be/config/config.py | LordRubin/covid19-teststation-termine | 91a98ee66a960d19e3370f2788d8f1bd448c84ab | [
"MIT"
] | 25 | 2020-04-06T19:21:15.000Z | 2022-03-15T06:39:28.000Z | termine-be/config/config.py | LordRubin/covid19-teststation-termine | 91a98ee66a960d19e3370f2788d8f1bd448c84ab | [
"MIT"
] | 10 | 2020-04-21T20:38:55.000Z | 2022-02-27T02:36:39.000Z | termine-be/config/config.py | LordRubin/covid19-teststation-termine | 91a98ee66a960d19e3370f2788d8f1bd448c84ab | [
"MIT"
] | 10 | 2020-04-08T18:21:45.000Z | 2021-12-17T14:49:23.000Z | import json
import os
import pytz
def _bool_convert(value):
truthy = {"t", "true", "on", "y", "yes", "1", 1, 1.0, True}
falsy = {"f", "false", "off", "n", "no", "0", 0, 0.0, False}
if isinstance(value, str):
value = value.lower()
if value in truthy:
return True
if value in falsy:
... | 33.012987 | 91 | 0.644768 |
f791c4f519f41b9ff4fe1ad3d921339c89ce54de | 73 | py | Python | stochepi/evpytools/__init__.py | eeg-lanl/sarscov2-selection | c2087cbaf55de9930736aa6677a57008a2397583 | [
"BSD-3-Clause"
] | null | null | null | stochepi/evpytools/__init__.py | eeg-lanl/sarscov2-selection | c2087cbaf55de9930736aa6677a57008a2397583 | [
"BSD-3-Clause"
] | null | null | null | stochepi/evpytools/__init__.py | eeg-lanl/sarscov2-selection | c2087cbaf55de9930736aa6677a57008a2397583 | [
"BSD-3-Clause"
] | null | null | null | """@package evpytools
Python tools for managing EstaVoir simulations
"""
| 18.25 | 46 | 0.780822 |
f791cc4faaa5f71bf2c449d94949a368763a8988 | 20,216 | py | Python | density_estimation.py | luh0907/nn_breaking_detection | 6e810a5296bea3c6ef975b4e62caa2d94e992b81 | [
"BSD-2-Clause"
] | 77 | 2017-11-05T01:02:57.000Z | 2022-01-31T06:54:44.000Z | density_estimation.py | luh0907/nn_breaking_detection | 6e810a5296bea3c6ef975b4e62caa2d94e992b81 | [
"BSD-2-Clause"
] | 1 | 2017-11-15T08:53:02.000Z | 2017-11-15T08:53:02.000Z | density_estimation.py | luh0907/nn_breaking_detection | 6e810a5296bea3c6ef975b4e62caa2d94e992b81 | [
"BSD-2-Clause"
] | 26 | 2017-11-02T02:05:39.000Z | 2021-11-03T08:24:07.000Z | # Copyright (C) 2017, Nicholas Carlini <nicholas@carlini.com>
# All rights reserved.
import sys
import time
import tensorflow as tf
import numpy as np
import random
from setup_cifar import CIFARModel, CIFAR
from setup_mnist import MNISTModel, MNIST
sys.path.append("../..")
from nn_robust_attacks.l2_attack import Car... | 38.802303 | 177 | 0.602147 |
f792195104e0f229674981349a90191ac011941f | 2,819 | py | Python | config/services/SWORD_APP_Publish_V1_3.py | LearningRegistry/LearningRegistry | d9f0a8117a4adb8fcf6bf101d3d58d799463a2e2 | [
"Apache-2.0"
] | 26 | 2015-04-14T03:11:58.000Z | 2022-01-06T14:31:07.000Z | config/services/SWORD_APP_Publish_V1_3.py | LearningRegistry/LearningRegistry | d9f0a8117a4adb8fcf6bf101d3d58d799463a2e2 | [
"Apache-2.0"
] | 11 | 2015-04-03T21:54:03.000Z | 2017-05-02T17:20:03.000Z | config/services/SWORD_APP_Publish_V1_3.py | LearningRegistry/LearningRegistry | d9f0a8117a4adb8fcf6bf101d3d58d799463a2e2 | [
"Apache-2.0"
] | 16 | 2015-02-11T09:30:18.000Z | 2020-11-20T02:06:24.000Z | '''
Created on Oct16, 2011
@author: wegrata
'''
from service_template import ServiceTemplate
from setup_utils import getInput, PublishDoc, isBoolean, YES, isInt
import pystache, uuid
import json
def install(server, dbname, setupInfo):
custom_opts = {}
active = getInput("Enable SWORD Service?", "T", isBoolea... | 32.402299 | 108 | 0.602341 |
f7925f2cabf28b29bae4935920db3014bb1f8138 | 1,975 | py | Python | fastestimator/op/numpyop/univariate/expand_dims.py | gaurav272333/fastestimator | d49e48d7375e19416ef337b3517dcfe42bb56589 | [
"Apache-2.0"
] | null | null | null | fastestimator/op/numpyop/univariate/expand_dims.py | gaurav272333/fastestimator | d49e48d7375e19416ef337b3517dcfe42bb56589 | [
"Apache-2.0"
] | null | null | null | fastestimator/op/numpyop/univariate/expand_dims.py | gaurav272333/fastestimator | d49e48d7375e19416ef337b3517dcfe42bb56589 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The FastEstimator 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 appl... | 42.934783 | 120 | 0.653671 |
f792753618f500ac23751de619e1ff9ffa70e2e3 | 13,518 | py | Python | bin/basenji_test.py | moodyRahman/basenji | 0fb66324549bbd52c10ce714a1ad988e54ce2773 | [
"Apache-2.0"
] | 1 | 2021-09-08T09:41:12.000Z | 2021-09-08T09:41:12.000Z | bin/basenji_test.py | moodyRahman/basenji | 0fb66324549bbd52c10ce714a1ad988e54ce2773 | [
"Apache-2.0"
] | null | null | null | bin/basenji_test.py | moodyRahman/basenji | 0fb66324549bbd52c10ce714a1ad988e54ce2773 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2017 Calico LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 33.879699 | 117 | 0.62021 |
f79289200ea99739244820d469969ce2873679ba | 4,517 | py | Python | toontown/coghq/DistributedCogHQDoor.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/coghq/DistributedCogHQDoor.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/coghq/DistributedCogHQDoor.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from direct.interval.IntervalGlobal import *
from direct.distributed.ClockDelta import *
from direct.directnotify import DirectNotifyGlobal
from direct.fsm import ClassicFSM
from toontown.building import DistributedDoor
from toontown.hood import ZoneUtil
from toontown.building import FADoorCodes, DoorTypes
from toontow... | 41.440367 | 334 | 0.644676 |
f79290844020420c6fddbaa4bdfb829495c0c966 | 1,900 | py | Python | alipay/aop/api/domain/KbdishDetailInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/KbdishDetailInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/KbdishDetailInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class KbdishDetailInfo(object):
def __init__(self):
self._out_dish_id = None
self._out_sku_id_list = None
@property
def out_dish_id(self):
return self._out_dish_id
... | 29.6875 | 81 | 0.596316 |
f79290b949379bdf2319617067e505b52a8ec980 | 2,579 | py | Python | sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_generated/v3_0/models/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-01-24T08:54:57.000Z | 2022-01-24T08:54:57.000Z | sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_generated/v3_0/models/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_generated/v3_0/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 ... | 32.2375 | 94 | 0.743699 |
f792b7a867f7cab54fb5d26b0375cac7e2d79318 | 3,726 | py | Python | tests/django_dummy_app/migrations/0001_initial.py | qcoumes/dgeq | 087bdbf934d59d7aedcef84735a8f18460cda1d0 | [
"MIT"
] | null | null | null | tests/django_dummy_app/migrations/0001_initial.py | qcoumes/dgeq | 087bdbf934d59d7aedcef84735a8f18460cda1d0 | [
"MIT"
] | 1 | 2021-01-24T22:53:53.000Z | 2021-01-24T22:53:53.000Z | tests/django_dummy_app/migrations/0001_initial.py | qcoumes/dgeq | 087bdbf934d59d7aedcef84735a8f18460cda1d0 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-08-19 15:24
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Continent',
fields=[
... | 42.827586 | 151 | 0.56307 |
f792d703cccbe1fd31c31ee3214b7dfab46a2298 | 2,232 | py | Python | nyc/dataprep/CensusBlock.py | lopez86/NYCDataTools | 9c860545bacd27a7a1106bba3e3d75cd0320e6df | [
"MIT"
] | null | null | null | nyc/dataprep/CensusBlock.py | lopez86/NYCDataTools | 9c860545bacd27a7a1106bba3e3d75cd0320e6df | [
"MIT"
] | null | null | null | nyc/dataprep/CensusBlock.py | lopez86/NYCDataTools | 9c860545bacd27a7a1106bba3e3d75cd0320e6df | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
""" Gets the census block code for a given set of coordinates.
This makes use of the FCC census block lookup API, which takes
a (lat,lon) point at outputs some XML with information
about that position.
This does not support multithreading to make sure that it does
not overload anything. The l... | 23.25 | 77 | 0.617384 |
f792ee12ff863764333b01bfb807735a02e11e6b | 4,116 | py | Python | smt/surrogate_models/kpls.py | Laurentww/smt | f124c01ffa78c04b80221dded278a20123dac742 | [
"BSD-3-Clause"
] | 1 | 2021-09-30T10:17:53.000Z | 2021-09-30T10:17:53.000Z | smt/surrogate_models/kpls.py | enjoyneer87/smt | 4a4df255b9259965439120091007f9852f41523e | [
"BSD-3-Clause"
] | null | null | null | smt/surrogate_models/kpls.py | enjoyneer87/smt | 4a4df255b9259965439120091007f9852f41523e | [
"BSD-3-Clause"
] | null | null | null | """
Author: Dr. Mohamed A. Bouhlel <mbouhlel@umich.edu>
This package is distributed under New BSD license.
"""
import numpy as np
from packaging import version
from sklearn.cross_decomposition import PLSRegression as pls
from smt.surrogate_models.krg_based import KrgBased
from smt.utils.kriging_utils import compone... | 34.016529 | 112 | 0.542517 |
f7930f37fe1811c075b7ec3976fe12faf6721d9e | 404 | py | Python | datastructures/trees/binary/lca_recursion.py | hariharanragothaman/pymaster | b3d033b4d5c75c69f587c94d9d12cd4a349a6a69 | [
"Apache-2.0"
] | 10 | 2020-09-21T22:23:09.000Z | 2022-01-25T16:58:44.000Z | datastructures/trees/binary/lca_recursion.py | hariharanragothaman/pymaster | b3d033b4d5c75c69f587c94d9d12cd4a349a6a69 | [
"Apache-2.0"
] | null | null | null | datastructures/trees/binary/lca_recursion.py | hariharanragothaman/pymaster | b3d033b4d5c75c69f587c94d9d12cd4a349a6a69 | [
"Apache-2.0"
] | null | null | null | """
Standard recipe to find the lowest common ancestor
"""
def lca(self, root, a, b):
# Standard Recipe to find the lowest-common ancestor
if root is None or root is a or root is b:
return root
left = self.lca(root.left, a, b)
right = self.lca(root.right, a, b)
if left is not No... | 26.933333 | 57 | 0.626238 |
f79351e6c835bce4369b15955e8bb4d0147411c7 | 1,982 | py | Python | vnpy_pro/data/download_data.py | caizhanjin/vnpy | c0886dbd8eba7f506634b1700dfd09b0b098ef26 | [
"MIT"
] | 5 | 2020-09-13T05:07:38.000Z | 2020-12-26T15:10:00.000Z | vnpy_pro/data/download_data.py | caizhanjin/vnpy | c0886dbd8eba7f506634b1700dfd09b0b098ef26 | [
"MIT"
] | null | null | null | vnpy_pro/data/download_data.py | caizhanjin/vnpy | c0886dbd8eba7f506634b1700dfd09b0b098ef26 | [
"MIT"
] | 2 | 2020-06-03T06:40:31.000Z | 2020-06-12T14:55:17.000Z | import datetime
from vnpy.trader.object import HistoryRequest
from vnpy.trader.database import database_manager
from vnpy.trader.constant import Interval, Exchange
from vnpy_pro.data.source.tdxdata import tdxdata_client
from vnpy.trader.utility import load_json
def download_data_from_tdx(download_futures, from_date... | 28.724638 | 82 | 0.617558 |
f793714262f2467af70fa169b6e2b323d50d1a35 | 30,297 | py | Python | python/ray/tune/trial.py | naijoaix/ray | 5a43b075bcc346fb95f1d30c85dbcb79a7fa5769 | [
"Apache-2.0"
] | null | null | null | python/ray/tune/trial.py | naijoaix/ray | 5a43b075bcc346fb95f1d30c85dbcb79a7fa5769 | [
"Apache-2.0"
] | null | null | null | python/ray/tune/trial.py | naijoaix/ray | 5a43b075bcc346fb95f1d30c85dbcb79a7fa5769 | [
"Apache-2.0"
] | null | null | null | from collections import deque
import copy
import json
import logging
from numbers import Number
import os
import platform
import re
import shutil
import time
from typing import Dict, Optional, Sequence, Union, Callable, List
import uuid
import ray
import ray.cloudpickle as cloudpickle
from ray.exceptions import RayAct... | 36.240431 | 88 | 0.624418 |
f79374a50e555f281aeb8a69fa03fddab120c1d3 | 8,246 | py | Python | src/data/helper_functions.py | vvandriichuk/etl_spark_airflow_emr | 0c793ca67389a789c8eb1f487fe3a384e714ff3b | [
"MIT"
] | 3 | 2021-01-02T01:18:39.000Z | 2021-06-09T19:52:38.000Z | src/data/helper_functions.py | philippschmalen/etl_spark_airflow_emr | 0c793ca67389a789c8eb1f487fe3a384e714ff3b | [
"MIT"
] | null | null | null | src/data/helper_functions.py | philippschmalen/etl_spark_airflow_emr | 0c793ca67389a789c8eb1f487fe3a384e714ff3b | [
"MIT"
] | 3 | 2021-06-12T04:06:33.000Z | 2021-12-01T17:48:38.000Z | from time import strftime, sleep
import sys
import os
import pandas as pd
from glob import glob
import numpy as np
def inspect_core_specifications(data, descriptives=False):
"""Inspect data types, shape and descriptives
:param data: pandas dataframe
:param descriptives: boolean, print descriptive statistics ... | 28.832168 | 111 | 0.692821 |
f7938211272945a045b488f91709186eb08411f3 | 1,185 | py | Python | fluo/templatetags/backports.py | rsalmaso/django-fluo | 340e3b4f9c1b4b09feccefb9b3ab2d26d59fac2b | [
"MIT"
] | 1 | 2020-08-05T09:29:08.000Z | 2020-08-05T09:29:08.000Z | fluo/templatetags/backports.py | rsalmaso/django-fluo | 340e3b4f9c1b4b09feccefb9b3ab2d26d59fac2b | [
"MIT"
] | 1 | 2020-08-05T09:28:58.000Z | 2020-09-19T09:02:48.000Z | fluo/templatetags/backports.py | rsalmaso/django-fluo | 340e3b4f9c1b4b09feccefb9b3ab2d26d59fac2b | [
"MIT"
] | null | null | null | # Copyright (C) 2007-2020, Raffaele Salmaso <raffaele@salmaso.org>
#
# 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, cop... | 49.375 | 79 | 0.779747 |
f7939839fda5c244d45db35b96ba8143f1f9a9ad | 892 | py | Python | utils/logger.py | bobenxia/Centripetal-SGD | e33350464504085a641a2a969d3c06e3d5cc4765 | [
"Apache-2.0"
] | 767 | 2019-10-08T01:32:47.000Z | 2022-03-27T14:39:44.000Z | utils/logger.py | zclonely/ACNet | 1fa157c5b38be2ecfc4a79f8ebe8e7cb30c71561 | [
"MIT"
] | 48 | 2019-11-04T12:05:15.000Z | 2021-11-28T06:50:30.000Z | utils/logger.py | zclonely/ACNet | 1fa157c5b38be2ecfc4a79f8ebe8e7cb30c71561 | [
"MIT"
] | 140 | 2019-10-29T07:49:24.000Z | 2022-03-27T13:01:22.000Z | import logging
import coloredlogs
import os
def get_logger(name='', save_dir=None, distributed_rank=0, filename="log.txt"):
logger = logging.getLogger(name)
coloredlogs.install(level='DEBUG', logger=logger)
# logger.setLevel(logging.DEBUG)
# don't log results for the non-master process
if distribu... | 28.774194 | 79 | 0.670404 |
f793c4244809d25ffb0e97544ae55624c214a51c | 7,256 | py | Python | eval_seg.py | mknz/dsr-road-roughness-prediction | 5f56b6ba5da70a09f2c967b7f32c740072e20ed1 | [
"MIT"
] | 7 | 2019-04-04T06:40:29.000Z | 2020-11-12T10:53:30.000Z | eval_seg.py | mknz/dsr-road-roughness-prediction | 5f56b6ba5da70a09f2c967b7f32c740072e20ed1 | [
"MIT"
] | 1 | 2021-09-28T07:11:05.000Z | 2021-09-28T07:11:05.000Z | eval_seg.py | mknz/dsr-road-roughness-prediction | 5f56b6ba5da70a09f2c967b7f32c740072e20ed1 | [
"MIT"
] | null | null | null | '''Evaluation script'''
import argparse
from pathlib import Path
import numpy as np
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
from PIL import Image
from albumentations import Compose
from albumentations import CenterCrop
from torchvision.transforms.functional import to_pil_image
... | 34.226415 | 90 | 0.649394 |
f793cd19b1e31c61d45fd7497f8a81db9b6cbb07 | 12,233 | py | Python | soundannotatordemo/config/argparser.py | soundappraisal/soundannotatordemo | caa1a718f0ed48bdfb76c0edbd644b8b11c8570a | [
"Apache-2.0"
] | null | null | null | soundannotatordemo/config/argparser.py | soundappraisal/soundannotatordemo | caa1a718f0ed48bdfb76c0edbd644b8b11c8570a | [
"Apache-2.0"
] | 3 | 2017-08-04T22:33:27.000Z | 2018-03-13T18:58:50.000Z | soundannotatordemo/config/argparser.py | soundappraisal/soundannotatordemo | caa1a718f0ed48bdfb76c0edbd644b8b11c8570a | [
"Apache-2.0"
] | null | null | null | '''
This file is part of soundannotatordemo. The soundannotatordemo repository
provides democode and documentation accompanying the libsoundannotator
repository, available from https://github.com/soundappraisal/libsoundannotator.
The library libsoundannotator is designed for processing sound using
time-frequency repr... | 45.307407 | 313 | 0.711518 |
f793dc10c65972f051d55cd571b3d8d8fc9aba9c | 61,720 | py | Python | sdk/storage/azure-storage-blob/azure/storage/blob/aio/_container_client_async.py | azclibot/azure-sdk-for-python | 390e17ce71f874f067b4ef8e8038ee96b23e943b | [
"MIT"
] | 1 | 2021-09-07T18:35:49.000Z | 2021-09-07T18:35:49.000Z | sdk/storage/azure-storage-blob/azure/storage/blob/aio/_container_client_async.py | azclibot/azure-sdk-for-python | 390e17ce71f874f067b4ef8e8038ee96b23e943b | [
"MIT"
] | null | null | null | sdk/storage/azure-storage-blob/azure/storage/blob/aio/_container_client_async.py | azclibot/azure-sdk-for-python | 390e17ce71f874f067b4ef8e8038ee96b23e943b | [
"MIT"
] | null | null | null | # pylint: disable=too-many-lines
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# ----------------------------------------------------... | 50.966144 | 130 | 0.650324 |
f793de5b6c793c345b82afb7165fd9819172af2d | 3,277 | py | Python | src/quicknlp/modules/attention_decoder.py | dailai/quick-nlp | d27ae90c0788d0899af7f45b323ca64ed0c33868 | [
"MIT"
] | null | null | null | src/quicknlp/modules/attention_decoder.py | dailai/quick-nlp | d27ae90c0788d0899af7f45b323ca64ed0c33868 | [
"MIT"
] | null | null | null | src/quicknlp/modules/attention_decoder.py | dailai/quick-nlp | d27ae90c0788d0899af7f45b323ca64ed0c33868 | [
"MIT"
] | null | null | null | import warnings
from typing import Optional
import torch
from quicknlp.utils import assert_dims
from .basic_decoder import EmbeddingRNNDecoder
class RNNAttentionDecoder(EmbeddingRNNDecoder):
def __init__(self, ntoken: int, emb_sz: int, nhid: int, nlayers: int, pad_token: int, eos_token: int,
m... | 50.415385 | 120 | 0.608483 |
f793df57c16ff741834e75bc644e4cea1ed95361 | 7,132 | py | Python | vaccine_feed_ingest/stages/load.py | Vaccinebot/vaccine-feed-ingest | d1a330e215b1c4ad167e4c52b81d5d3e1d1d9faf | [
"MIT"
] | null | null | null | vaccine_feed_ingest/stages/load.py | Vaccinebot/vaccine-feed-ingest | d1a330e215b1c4ad167e4c52b81d5d3e1d1d9faf | [
"MIT"
] | null | null | null | vaccine_feed_ingest/stages/load.py | Vaccinebot/vaccine-feed-ingest | d1a330e215b1c4ad167e4c52b81d5d3e1d1d9faf | [
"MIT"
] | null | null | null | import logging
import pathlib
from typing import Iterable, Iterator, List, Optional
import pydantic
import shapely.geometry
import urllib3
from vaccine_feed_ingest import vial
from vaccine_feed_ingest.schema import schema
from ..utils.match import canonicalize_address, get_full_address
from . import outputs
from .com... | 31.144105 | 84 | 0.640213 |
f793e75cdbf7009b32aff6f936bd85874aba0a46 | 3,868 | py | Python | agents/blue_simple_agent.py | ejbkdb/HackAuto | 5724ed5aa7e9e5fba4427dd95328f10e4a18710e | [
"MIT"
] | 3 | 2018-08-22T22:49:26.000Z | 2020-10-24T14:29:16.000Z | agents/blue_simple_agent.py | ejbkdb/HackAuto | 5724ed5aa7e9e5fba4427dd95328f10e4a18710e | [
"MIT"
] | null | null | null | agents/blue_simple_agent.py | ejbkdb/HackAuto | 5724ed5aa7e9e5fba4427dd95328f10e4a18710e | [
"MIT"
] | 5 | 2018-08-11T09:17:54.000Z | 2018-10-02T23:28:16.000Z | import numpy as np
import rospy
from std_msgs.msg import Bool
from geometry_msgs.msg import Point, Twist, Vector3
# Global variables
blue_center = Point()
blue_flag = False
blue_base = Point()
red_base = Point()
blue_twist = Twist()
game_over = False
accumulated_error = 0.
neutral_zone = False
# Helper functions
def ... | 30.21875 | 94 | 0.65848 |
f794253c4776c1098335be5dff8046ca00bee661 | 549 | py | Python | deckparser/importers/newave/importCONFT.py | venidera/deckparser | 88e9e141cb7ef2cdea2994f7664157d9eae6ec4f | [
"Apache-2.0"
] | 13 | 2018-07-26T20:18:30.000Z | 2022-03-18T07:18:34.000Z | deckparser/importers/newave/importCONFT.py | venidera/deckparser | 88e9e141cb7ef2cdea2994f7664157d9eae6ec4f | [
"Apache-2.0"
] | null | null | null | deckparser/importers/newave/importCONFT.py | venidera/deckparser | 88e9e141cb7ef2cdea2994f7664157d9eae6ec4f | [
"Apache-2.0"
] | 3 | 2021-04-23T21:46:59.000Z | 2021-08-30T11:24:07.000Z | def importCONFT(fobj):
CONFT = dict()
for i, v in enumerate(fobj):
if (i > 1) and (v.strip() != ""):
CodUTE = v[0:6].decode('utf-8').strip()
nome = v[6:20].decode('utf-8').strip()
ssis = v[20:26].decode('utf-8').strip()
exis = v[26:33].decode('utf-8').stri... | 34.3125 | 53 | 0.435337 |
f7942862c38a418c90257dee2a1ca7fee1725926 | 2,989 | py | Python | nova/db/sqlalchemy/migrate_repo/versions/271_sqlite_postgresql_indexes.py | ebalduf/nova-backports | 6bf97ec73467de522d34ab7a17ca0e0874baa7f9 | [
"Apache-2.0"
] | 5 | 2016-04-28T16:20:38.000Z | 2021-04-25T11:19:03.000Z | nova/db/sqlalchemy/migrate_repo/versions/271_sqlite_postgresql_indexes.py | ebalduf/nova-backports | 6bf97ec73467de522d34ab7a17ca0e0874baa7f9 | [
"Apache-2.0"
] | 5 | 2016-07-11T20:59:47.000Z | 2020-07-28T09:56:35.000Z | nova/db/sqlalchemy/migrate_repo/versions/271_sqlite_postgresql_indexes.py | ebalduf/nova-backports | 6bf97ec73467de522d34ab7a17ca0e0874baa7f9 | [
"Apache-2.0"
] | 5 | 2020-04-08T20:24:45.000Z | 2020-10-05T19:02:13.000Z | # Copyright 2014 Rackspace Hosting
# 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... | 42.7 | 78 | 0.699231 |
f79428b2a97f0ac2ce991f4c26b9123cddc24325 | 3,958 | py | Python | tensorflow/contrib/eager/python/examples/revnet/cifar_tfrecords.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/contrib/eager/python/examples/revnet/cifar_tfrecords.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/contrib/eager/python/examples/revnet/cifar_tfrecords.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 26 | 2017-04-12T16:25:44.000Z | 2018-10-30T10:10:15.000Z | # Copyright 2018 The TensorFlow 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 applica... | 31.919355 | 80 | 0.705407 |
f794521739f93e7b3dc98422b66d46679ab7ff7a | 1,233 | py | Python | app/__init__.py | Waithera-m/You-Got-This | efc83bd712ffbb5d57acf3c9925389905adf8673 | [
"Unlicense"
] | null | null | null | app/__init__.py | Waithera-m/You-Got-This | efc83bd712ffbb5d57acf3c9925389905adf8673 | [
"Unlicense"
] | null | null | null | app/__init__.py | Waithera-m/You-Got-This | efc83bd712ffbb5d57acf3c9925389905adf8673 | [
"Unlicense"
] | null | null | null | from flask_bootstrap import Bootstrap
from flask import Flask
from config import config_options
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from flask_mail import Mail
from flask_uploads import UploadSet,configure_uploads,IMAGES
from flask_wtf.csrf import CSRFProtect
csrf = CSRFProtect... | 24.176471 | 75 | 0.769667 |
f7945d76072eb4ed1f710d04de7f8d95bf19e892 | 110,168 | py | Python | python/dgl/graph.py | jamesliu/dgl | 6c77f26438e5811ffcb84bdbac3f4a4464310f80 | [
"Apache-2.0"
] | 1 | 2018-12-27T23:51:10.000Z | 2018-12-27T23:51:10.000Z | python/dgl/graph.py | jamesliu/dgl | 6c77f26438e5811ffcb84bdbac3f4a4464310f80 | [
"Apache-2.0"
] | null | null | null | python/dgl/graph.py | jamesliu/dgl | 6c77f26438e5811ffcb84bdbac3f4a4464310f80 | [
"Apache-2.0"
] | null | null | null | """Base graph class specialized for neural networks on graphs."""
from __future__ import absolute_import
from collections import defaultdict
import networkx as nx
import dgl
from .base import ALL, is_all, DGLError
from . import backend as F
from . import init
from .frame import FrameRef, Frame, Scheme
from . import g... | 32.935127 | 100 | 0.527313 |
f7946227c4881e295bdd990896e25625b8bf4ffd | 1,672 | py | Python | spec/venv.py | jmvrbanac/ansible-flow | 666dc3664ed8001640d50c0e00d749f44f16826f | [
"Apache-2.0"
] | 13 | 2015-12-03T10:41:13.000Z | 2020-01-05T16:22:42.000Z | spec/venv.py | jmvrbanac/ansible-flow | 666dc3664ed8001640d50c0e00d749f44f16826f | [
"Apache-2.0"
] | 2 | 2015-12-17T22:16:53.000Z | 2016-05-30T01:20:59.000Z | spec/venv.py | jmvrbanac/ansible-flow | 666dc3664ed8001640d50c0e00d749f44f16826f | [
"Apache-2.0"
] | 6 | 2015-12-09T21:38:55.000Z | 2020-02-24T21:15:06.000Z | import os
import shutil
import tempfile
import ansibleflow
from ansibleflow import venv
from spec import BaseSpec
from specter import Spec, expect
class VirtualEnvTests(BaseSpec):
def can_get_env_path(self):
path = venv.ENV_PATH
expect('/.venv').to.be_in(path)
def invalid_argument_does_nothi... | 32.153846 | 66 | 0.649522 |
f794a6fe6404ba60868ae63599276e8130af688a | 2,980 | py | Python | Leetcode/medium/gas-station.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 6 | 2021-07-29T03:26:20.000Z | 2022-01-28T15:11:45.000Z | Leetcode/medium/gas-station.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 2 | 2021-09-30T09:47:23.000Z | 2022-01-31T03:08:24.000Z | Leetcode/medium/gas-station.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 5 | 2021-08-10T06:41:11.000Z | 2022-01-29T17:50:20.000Z | """
# GAS STATION
There are N gas stations along a circular route, where the amount of gas at station i is gas[i].
You have a car with an unlimited gas tank and it costs cost[i] of gas to travel from station i to its next station (i+1). You begin the journey with an empty tank at one of the gas stations.
Return the... | 29.8 | 190 | 0.551342 |
f794c290ca2b570d75ce7a78cb65d34aa9908b0d | 6,936 | py | Python | examples/ccrig/ccrig_debug.py | naomilwx/rlkit | d4514f89e4cef0a93a936c4f6b34b2099ae3a523 | [
"MIT"
] | null | null | null | examples/ccrig/ccrig_debug.py | naomilwx/rlkit | d4514f89e4cef0a93a936c4f6b34b2099ae3a523 | [
"MIT"
] | null | null | null | examples/ccrig/ccrig_debug.py | naomilwx/rlkit | d4514f89e4cef0a93a936c4f6b34b2099ae3a523 | [
"MIT"
] | null | null | null | import rlkit.util.hyperparameter as hyp
from multiworld.envs.mujoco.cameras import sawyer_init_camera_zoomed_in, sawyer_pusher_camera_upright_v2
from rlkit.launchers.launcher_util import run_experiment
import rlkit.torch.vae.vae_schedules as vae_schedules
from rlkit.torch.vae.conv_vae import imsize48_default_architectu... | 37.090909 | 121 | 0.57598 |
f794c3b379c3a9e3dd0375cc58db8e089ba8cbc9 | 3,706 | py | Python | publication_backbone/templatetags/publication_backbone_pagination_tags.py | Excentrics/publication-backbone | 65c9820308b09a6ae1086c265f8d49e36f3724b9 | [
"BSD-3-Clause"
] | 6 | 2016-05-19T14:59:51.000Z | 2020-03-19T10:08:29.000Z | publication_backbone/templatetags/publication_backbone_pagination_tags.py | Excentrics/publication-backbone | 65c9820308b09a6ae1086c265f8d49e36f3724b9 | [
"BSD-3-Clause"
] | null | null | null | publication_backbone/templatetags/publication_backbone_pagination_tags.py | Excentrics/publication-backbone | 65c9820308b09a6ae1086c265f8d49e36f3724b9 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django import template
from django.core.paginator import EmptyPage
from classytags.core import Options, Tag
from classytags.arguments import MultiKeywordArgument, Argument
from classytags.helpers import InclusionTag
from publication_backbone.utils.paginator import Paginator, OffsetNotAnIn... | 34.962264 | 84 | 0.600917 |
f794dda4356d03e28fe5789a18821db76189fdce | 10,480 | py | Python | lookups.py | NBISweden/exac_browser | c4d62741d0298dbf2a09c19b3585a601b22d5336 | [
"MIT"
] | 2 | 2017-02-27T13:25:38.000Z | 2018-10-17T08:06:51.000Z | lookups.py | NBISweden/exac_browser | c4d62741d0298dbf2a09c19b3585a601b22d5336 | [
"MIT"
] | 3 | 2017-02-15T13:52:00.000Z | 2017-11-09T09:38:01.000Z | lookups.py | NBISweden/exac_browser | c4d62741d0298dbf2a09c19b3585a601b22d5336 | [
"MIT"
] | 1 | 2017-02-15T08:52:41.000Z | 2017-02-15T08:52:41.000Z | import re
from utils import *
SEARCH_LIMIT = 10000
def get_gene(sdb, gene_id):
return sdb.genes.find_one({'gene_id': gene_id}, projection={'_id': False})
def get_gene_by_name(sdb, gene_name):
# try gene_name field first
gene = sdb.genes.find_one({'gene_name': gene_name}, projection={'_id': False})
i... | 32.04893 | 177 | 0.622042 |
f794df26b44a126f61e799b77e2b8af33390e127 | 2,184 | py | Python | alipay/aop/api/domain/ZhimaMerchantContractCommonQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/ZhimaMerchantContractCommonQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/ZhimaMerchantContractCommonQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class ZhimaMerchantContractCommonQueryModel(object):
def __init__(self):
self._contract_no = None
self._sign_principal_id = None
self._sign_principal_type = None
@property
... | 30.760563 | 89 | 0.643773 |
f794f70718e7d3a62a8c2a39a7d079ca28d2d2e9 | 1,387 | py | Python | pytorch_toolkit/face_recognition/utils/read_tfboard.py | JinYAnGHe/openvino_training_extensions | a0b4456a3c9fe6c1b7eabc9d5eb4e74d01453dee | [
"Apache-2.0"
] | null | null | null | pytorch_toolkit/face_recognition/utils/read_tfboard.py | JinYAnGHe/openvino_training_extensions | a0b4456a3c9fe6c1b7eabc9d5eb4e74d01453dee | [
"Apache-2.0"
] | null | null | null | pytorch_toolkit/face_recognition/utils/read_tfboard.py | JinYAnGHe/openvino_training_extensions | a0b4456a3c9fe6c1b7eabc9d5eb4e74d01453dee | [
"Apache-2.0"
] | null | null | null | from tensorboard.backend.event_processing import event_accumulator
ea=event_accumulator.EventAccumulator('../logs_landm/2019_08_04_14_38_LandNet-NoSE/events.out.tfevents.1564900704.Workstation')
ea.Reload()
# print(ea.scalars.Keys())
# ea1=event_accumulator.EventAccumulator('./dsm_aug/eval_0/events.out.tfevents.156240... | 38.527778 | 127 | 0.726748 |
f79521edfbb336e07186a56bfc8fcb36eef0179b | 1,634 | py | Python | tiveU/news/schema.py | rds0751/newtiveu | 779ac840f0787ea0e74701b43d4320b44429527e | [
"MIT"
] | null | null | null | tiveU/news/schema.py | rds0751/newtiveu | 779ac840f0787ea0e74701b43d4320b44429527e | [
"MIT"
] | null | null | null | tiveU/news/schema.py | rds0751/newtiveu | 779ac840f0787ea0e74701b43d4320b44429527e | [
"MIT"
] | null | null | null | import graphene
from graphene_django.types import DjangoObjectType
from tiveU.news.models import News
from tiveU.helpers import paginate_data
class NewsType(DjangoObjectType):
"""DjangoObjectType to acces the News model."""
count_thread = graphene.Int()
count_likers = graphene.Int()
class Meta:
... | 29.178571 | 77 | 0.694614 |
f795554c273b66c2154a5ea61f071d7983ca90b8 | 6,113 | py | Python | project1/multiprocess.py | HoliestCow/ece692_deeplearning | 638c27e0d9c01ec9b0a8be8a85e54937645a897e | [
"MIT"
] | null | null | null | project1/multiprocess.py | HoliestCow/ece692_deeplearning | 638c27e0d9c01ec9b0a8be8a85e54937645a897e | [
"MIT"
] | null | null | null | project1/multiprocess.py | HoliestCow/ece692_deeplearning | 638c27e0d9c01ec9b0a8be8a85e54937645a897e | [
"MIT"
] | null | null | null | import os
import sys
import multiprocessing
import copyreg
import types
import time
from six import string_types
from progressbar import ProgressBar, FormatLabel, Percentage, Bar, ETA
import numpy as np
import pandas as pd
from subprocess import Popen
from collections import OrderedDict
from basic_class import BasicCla... | 33.222826 | 79 | 0.551775 |
f7955a2fe9a9745b64bf9360a774de4c459d3c60 | 256 | py | Python | image_versions/urls.py | hyperlocalhq/django-image-versions | 345848cb4ac52485b6f2a591be0aef5c9dfcdc80 | [
"MIT"
] | null | null | null | image_versions/urls.py | hyperlocalhq/django-image-versions | 345848cb4ac52485b6f2a591be0aef5c9dfcdc80 | [
"MIT"
] | null | null | null | image_versions/urls.py | hyperlocalhq/django-image-versions | 345848cb4ac52485b6f2a591be0aef5c9dfcdc80 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
app_name = "image_versions"
urlpatterns = [
path("set-focus-point/", views.set_focus_point, name="set_focus_point"),
path("focus-point/", views.focus_point_details, name="focus_point_details"),
]
| 23.272727 | 80 | 0.738281 |
f795714ade68a5c889c8a90bdebb60299482d16e | 3,518 | py | Python | custom_components/hahm/device_action.py | Lemocin/custom_homematic | 1b6bc2da270bcbb58b52806c50f4d7dbdcff4e37 | [
"MIT"
] | 45 | 2021-07-28T07:37:52.000Z | 2022-03-31T11:05:53.000Z | custom_components/hahm/device_action.py | Lemocin/custom_homematic | 1b6bc2da270bcbb58b52806c50f4d7dbdcff4e37 | [
"MIT"
] | 14 | 2021-11-24T09:26:21.000Z | 2022-03-20T16:17:57.000Z | custom_components/hahm/device_action.py | Lemocin/custom_homematic | 1b6bc2da270bcbb58b52806c50f4d7dbdcff4e37 | [
"MIT"
] | 12 | 2021-10-10T06:15:17.000Z | 2022-03-30T08:36:12.000Z | """Provides device actions for Homematic(IP) Local."""
from __future__ import annotations
from typing import Any
from hahomematic.const import EVENT_PRESS_LONG, EVENT_PRESS_SHORT
from hahomematic.internal.action import HmAction
import voluptuous as vol
from homeassistant.const import CONF_DEVICE_ID, CONF_DOMAIN, CON... | 33.188679 | 79 | 0.65975 |
f7958639bbc1688d5d5890b946513e8cc37ac82b | 607 | py | Python | python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 03/ch03-rec12-errorbar.py | flyingwjw/Documentation | 567608f388ca369b864c2d75a94647801b5dfa1e | [
"Unlicense"
] | 26 | 2016-08-25T01:33:36.000Z | 2022-03-20T11:33:31.000Z | python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 03/ch03-rec12-errorbar.py | flyingwjw/Documentation | 567608f388ca369b864c2d75a94647801b5dfa1e | [
"Unlicense"
] | null | null | null | python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 03/ch03-rec12-errorbar.py | flyingwjw/Documentation | 567608f388ca369b864c2d75a94647801b5dfa1e | [
"Unlicense"
] | 31 | 2016-08-16T15:32:46.000Z | 2021-01-26T19:16:48.000Z | import numpy as np
import matplotlib.pyplot as plt
# generate measures from gaussian distribution
x = np.arange(0, 10, 1)
# values computed from "measured"
y = np.log(x)
# add some error samples from standard normal distribution
xe = 0.1 * np.abs(np.random.randn(len(y)))
# draw and show errorbar
plt.bar(x, y, yer... | 25.291667 | 75 | 0.655684 |
f7958850dd722eed1e7d485ea9486f8c9dab8c1e | 7,480 | py | Python | src/tests/test_user_information.py | andela/andela-societies-backend | b8382f308449a08e5c7bda46c6deabe597cc2e25 | [
"MIT"
] | 1 | 2018-09-13T16:33:20.000Z | 2018-09-13T16:33:20.000Z | src/tests/test_user_information.py | jonathankamau/andela-societies-backend | b8382f308449a08e5c7bda46c6deabe597cc2e25 | [
"MIT"
] | 6 | 2019-03-11T17:50:27.000Z | 2019-08-26T11:00:40.000Z | src/tests/test_user_information.py | jonathankamau/andela-societies-backend | b8382f308449a08e5c7bda46c6deabe597cc2e25 | [
"MIT"
] | 9 | 2019-01-09T12:23:12.000Z | 2021-05-28T04:58:31.000Z | """Module test user information reource."""
import json
from unittest import mock
from flask import Response
from .base_test import BaseTestCase, Center, Cohort, Society
from api.utils.marshmallow_schemas import basic_info_schema
def info_mock(status_code, society=None, location=None, cohort=None, data=None):
"... | 46.17284 | 82 | 0.579679 |
f795a1e5de0d16a8c03ba56ad1a47f3bdfd51089 | 3,151 | py | Python | external/sbml/bindings/python/test/sbml/TestCompartmentVolumeRule.py | dchandran/evolvenetworks | 072f9e1292552f691a86457ffd16a5743724fb5e | [
"BSD-3-Clause"
] | 1 | 2019-08-22T17:17:41.000Z | 2019-08-22T17:17:41.000Z | external/sbml/bindings/python/test/sbml/TestCompartmentVolumeRule.py | dchandran/evolvenetworks | 072f9e1292552f691a86457ffd16a5743724fb5e | [
"BSD-3-Clause"
] | null | null | null | external/sbml/bindings/python/test/sbml/TestCompartmentVolumeRule.py | dchandran/evolvenetworks | 072f9e1292552f691a86457ffd16a5743724fb5e | [
"BSD-3-Clause"
] | null | null | null | #
# @file TestCompartmentVolumeRule.py
# @brief CompartmentVolumeRule unit tests
#
# @author Akiya Jouraku (Python conversion)
# @author Ben Bornstein
#
# $Id: TestCompartmentVolumeRule.py 10124 2009-08-28 12:04:51Z sarahkeating $
# $HeadURL: https://sbml.svn.sourceforge.net/svnroot/sbml/trunk/libsbml/src/bindi... | 35.806818 | 132 | 0.68391 |
f795f3ca06d3525ebe9fade7dd812548eca94921 | 5,854 | py | Python | tests/admin/conftest.py | yzernik/squeaknode | f437939895f1f15dfeaa2bb50cab29efe5f7f612 | [
"MIT"
] | 14 | 2021-01-13T19:52:32.000Z | 2021-12-01T14:30:20.000Z | tests/admin/conftest.py | yzernik/squeaknode | f437939895f1f15dfeaa2bb50cab29efe5f7f612 | [
"MIT"
] | 603 | 2020-10-30T03:35:54.000Z | 2021-12-12T08:04:06.000Z | tests/admin/conftest.py | yzernik/squeaknode | f437939895f1f15dfeaa2bb50cab29efe5f7f612 | [
"MIT"
] | 5 | 2020-11-02T21:33:35.000Z | 2021-11-02T00:54:13.000Z | # MIT License
#
# Copyright (c) 2020 Jonathan Zernik
#
# 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, mer... | 26.976959 | 80 | 0.695593 |
f79652e46c64431a2701f0d8610e82470fa8b7c0 | 1,047 | py | Python | monitoring/setup/monitoring_vnic.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | monitoring/setup/monitoring_vnic.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | monitoring/setup/monitoring_vnic.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | ###############################################################################
# Copyright (c) 2017-2020 Koren Lev (Cisco Systems), #
# Yaron Yogev (Cisco Systems), Ilia Abashin (Cisco Systems) and others #
# #
... | 49.857143 | 79 | 0.495702 |
f7965ffa0b8adc5e8f1204e9c8c8f0b988ac8871 | 30,395 | py | Python | Sublime Text 3/Packages/backrefs/st3/backrefs/uniprops/unidata/bidiclass.py | anekeallen/Sublime-Text-3 | 8502b9089ca4223f8ba7ff168626a0dbe67713cb | [
"MIT"
] | 7 | 2016-01-20T01:44:36.000Z | 2019-01-29T11:52:39.000Z | Sublime Text 3/Packages/backrefs/st3/backrefs/uniprops/unidata/bidiclass.py | anekeallen/Sublime-Text-3 | 8502b9089ca4223f8ba7ff168626a0dbe67713cb | [
"MIT"
] | 4 | 2016-01-27T17:42:07.000Z | 2021-08-13T12:31:25.000Z | Sublime Text 3/Packages/backrefs/st3/backrefs/uniprops/unidata/bidiclass.py | anekeallen/Sublime-Text-3 | 8502b9089ca4223f8ba7ff168626a0dbe67713cb | [
"MIT"
] | 2 | 2015-11-15T09:11:34.000Z | 2019-01-29T11:52:41.000Z | """Unicode Properties from Unicode version 6.1.0 (autogen)."""
unicode_bidi_classes = {
"^al": "\x00-\u0607\u0609-\u060a\u060c\u060e-\u061a\u061c-\u061d\u064b-\u066c\u0670\u06d6-\u06e4\u06e7-\u06ed\u06f0-\u06f9\u070e\u0711\u0730-\u074c\u07a6-\u07b0\u07b2-\u089f\u08a1\u08ad-\ufb4f\ufbc2-\ufbd2\ufd3e-\ufd4f\ufd90-\u... | 366.204819 | 7,182 | 0.775456 |
f796627e418517f391cdefed692934e2f7bb30ca | 3,226 | py | Python | clif/testing/python/extend_init_test.py | timgates42/clif | b865c88beff70b31068889926d1184d5ddc0b9eb | [
"Apache-2.0"
] | null | null | null | clif/testing/python/extend_init_test.py | timgates42/clif | b865c88beff70b31068889926d1184d5ddc0b9eb | [
"Apache-2.0"
] | null | null | null | clif/testing/python/extend_init_test.py | timgates42/clif | b865c88beff70b31068889926d1184d5ddc0b9eb | [
"Apache-2.0"
] | null | null | null | # Lint-as: python3
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 34.319149 | 80 | 0.753255 |
f79666d255fef2bbb511a6176c74017cdffbcd8d | 622 | py | Python | services/traction/acapy_wrapper/models/admin_config.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 12 | 2022-01-29T20:30:03.000Z | 2022-03-29T11:46:14.000Z | services/traction/acapy_wrapper/models/admin_config.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 38 | 2021-11-22T17:52:50.000Z | 2022-03-31T17:52:00.000Z | services/traction/acapy_wrapper/models/admin_config.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 9 | 2021-11-22T18:05:48.000Z | 2022-03-29T11:25:08.000Z | # coding: utf-8
from __future__ import annotations
from datetime import date, datetime # noqa: F401
import re # noqa: F401
from typing import Any, Dict, List, Optional # noqa: F401
from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401
class AdminConfig(BaseModel):
"""NOTE: This class is ... | 23.923077 | 96 | 0.720257 |
f79683425a07a21d2bf958698b31e5450e815af6 | 12,902 | py | Python | src/experiments/iql.py | smithsophia1688/rm-cooperative-marl | e9c782fa50957095dc025e16ff714e2fd19ee39e | [
"MIT"
] | 4 | 2021-07-05T12:26:24.000Z | 2022-03-22T23:31:30.000Z | src/experiments/iql.py | smithsophia1688/rm-cooperative-marl | e9c782fa50957095dc025e16ff714e2fd19ee39e | [
"MIT"
] | null | null | null | src/experiments/iql.py | smithsophia1688/rm-cooperative-marl | e9c782fa50957095dc025e16ff714e2fd19ee39e | [
"MIT"
] | 3 | 2021-05-31T08:59:35.000Z | 2022-02-28T05:20:55.000Z | import numpy as np
import random, time
from tester.tester import Tester
from Agent.iqAgent import iqAgent
from Environments.rendezvous.multi_agent_gridworld_env import MultiAgentGridWorldEnv
from Environments.coop_buttons.multi_agent_buttons_env import MultiAgentButtonsEnv
import matplotlib.pyplot as plt
def run_iql_... | 40.068323 | 144 | 0.63463 |
f796ade2e8edc0c30013a7ecb7a80e21b8610c50 | 917 | py | Python | python/design/0703_kth_largest_element_in_a_stream.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | 6 | 2019-07-15T13:23:57.000Z | 2020-01-22T03:12:01.000Z | python/design/0703_kth_largest_element_in_a_stream.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | null | null | null | python/design/0703_kth_largest_element_in_a_stream.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | 1 | 2019-07-24T02:15:31.000Z | 2019-07-24T02:15:31.000Z | import heapq
class KthLargest(object):
def __init__(self, k, nums):
self.pool = nums
self.k = k
heapq.heapify(self.pool)
while len(self.pool) > k:
heapq.heappop(self.pool)
def add(self, val):
if len(self.pool) < self.k:
heapq.heappush(self.pool... | 24.783784 | 45 | 0.587786 |
f796c488607978c7b643817817eb0c228529a702 | 2,106 | py | Python | tests/unit_tests/periodic/test_fetch_and_load.py | briandcho/unleash-client-python | ce7f69028265fd7aae774aa41144b4f5e078c91d | [
"MIT"
] | null | null | null | tests/unit_tests/periodic/test_fetch_and_load.py | briandcho/unleash-client-python | ce7f69028265fd7aae774aa41144b4f5e078c91d | [
"MIT"
] | null | null | null | tests/unit_tests/periodic/test_fetch_and_load.py | briandcho/unleash-client-python | ce7f69028265fd7aae774aa41144b4f5e078c91d | [
"MIT"
] | null | null | null | import responses
from UnleashClient.constants import FEATURES_URL
from UnleashClient.periodic_tasks import fetch_and_load_features
from UnleashClient.features import Feature
from tests.utilities.mocks.mock_features import MOCK_FEATURE_RESPONSE
from tests.utilities.testing_constants import URL, APP_NAME, INSTANCE_ID, CU... | 35.694915 | 114 | 0.614435 |
f796cbd023639832ead35de1db7ce468dc76468b | 3,054 | py | Python | test/test_dump_sql.py | rivethealth/slice-db | 2f94ae7e6c8970bd4ff42b10b0d612c4df179ab8 | [
"MIT"
] | 1 | 2021-04-07T18:13:56.000Z | 2021-04-07T18:13:56.000Z | test/test_dump_sql.py | rivethealth/slice-db | 2f94ae7e6c8970bd4ff42b10b0d612c4df179ab8 | [
"MIT"
] | null | null | null | test/test_dump_sql.py | rivethealth/slice-db | 2f94ae7e6c8970bd4ff42b10b0d612c4df179ab8 | [
"MIT"
] | null | null | null | import json
import os
import subprocess
from file import temp_file
from pg import connection, transaction
from process import run_process
def test_dump_sql(pg_database, snapshot):
schema_sql = """
CREATE TABLE parent (
id int PRIMARY KEY
);
CREATE TABLE child (
id... | 27.763636 | 82 | 0.37983 |
f796e647356ee79178e673ed3fdf2c406ae30ae2 | 12,186 | py | Python | pyppy/conditions.py | maehster/pyppy | 10aadd7ace210cb32c51cdd64060a3337d89324b | [
"MIT"
] | 5 | 2021-01-25T09:52:09.000Z | 2022-01-29T14:35:41.000Z | pyppy/conditions.py | maehster/pyppy | 10aadd7ace210cb32c51cdd64060a3337d89324b | [
"MIT"
] | 7 | 2021-01-23T10:49:01.000Z | 2021-01-30T08:17:38.000Z | pyppy/conditions.py | maehster/pyppy | 10aadd7ace210cb32c51cdd64060a3337d89324b | [
"MIT"
] | 1 | 2021-05-25T05:42:10.000Z | 2021-05-25T05:42:10.000Z | """
Module that contains a decorator generator function ``condition`` that
can be used to conditionally execute functions based on the state of the
global config.
General Example
---------------
Here's an example::
from pyppy.conditions import Exp, condition
from pyppy.config import initialize_config
impo... | 29.15311 | 86 | 0.649598 |
f796fac9fe5d731647e23bbb2dcdaa258e819252 | 5,149 | py | Python | vgio/quake2/tests/test_md2.py | joshuaskelly/game-tools | e71bcf4ef6553adf0b51f4379f72bc5a82a60176 | [
"MIT"
] | 22 | 2017-11-30T22:13:50.000Z | 2019-12-19T17:56:40.000Z | vgio/quake2/tests/test_md2.py | joshuaskelly/vgio | e71bcf4ef6553adf0b51f4379f72bc5a82a60176 | [
"MIT"
] | 22 | 2019-08-11T05:07:26.000Z | 2020-12-30T16:07:04.000Z | vgio/quake2/tests/test_md2.py | joshuaskelly/game-tools | e71bcf4ef6553adf0b51f4379f72bc5a82a60176 | [
"MIT"
] | 4 | 2018-06-24T14:04:36.000Z | 2019-05-14T06:01:51.000Z | import unittest
from vgio.quake2.tests.basecase import TestCase
from vgio.quake2 import md2
significant_digits = 5
class TestMd2ReadWrite(TestCase):
@unittest.skip("Missing test artifacts")
def test_check_file_type(self):
self.assertTrue(md2.is_md2file('./test_data/test.md2'))
def test_st_verte... | 36.260563 | 117 | 0.636434 |
f797011649d644717796e71d843bca85dbbf93eb | 9,827 | py | Python | agents.py | n0whereRuoxi/aima-python | 777fa52b73830a534e27b33abf535933ace32a95 | [
"MIT"
] | 1 | 2019-11-12T21:13:47.000Z | 2019-11-12T21:13:47.000Z | agents.py | n0whereRuoxi/aima-python | 777fa52b73830a534e27b33abf535933ace32a95 | [
"MIT"
] | null | null | null | agents.py | n0whereRuoxi/aima-python | 777fa52b73830a534e27b33abf535933ace32a95 | [
"MIT"
] | null | null | null | '''
This file holds the agents.
'''
import random, copy, collections
from objects import Object
from perception import *
from comms import *
import numpy as np
from scipy import spatial
import uuid
# ______________________________________________________________________________
class Agent(Object):
'''
An Ag... | 41.817021 | 168 | 0.610868 |
f797432c0084948881719a7eba5a31f8ab7a8aa0 | 6,044 | py | Python | examples/lookupsid.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | examples/lookupsid.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | examples/lookupsid.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | 1 | 2022-01-28T00:53:41.000Z | 2022-01-28T00:53:41.000Z | #!/usr/bin/python
# Copyright (c) 2012-2015 CORE Security Technologies
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# DCE/RPC lookup sid brute forcer example
#
# Author:
# Alberto Solino (@agsolino)
#... | 34.936416 | 181 | 0.617141 |
f7974c809e9f200fdaef570f7f3266d9bf848c15 | 514 | py | Python | page_locators/accounts_overview_page_locator.py | ikostan/ParaBankSeleniumAutomation | e28a886adba89b82a60831ad96a3a8f00f863116 | [
"Unlicense"
] | 4 | 2019-08-12T19:36:58.000Z | 2021-09-14T18:48:27.000Z | page_locators/accounts_overview_page_locator.py | ikostan/ParaBankSeleniumAutomation | e28a886adba89b82a60831ad96a3a8f00f863116 | [
"Unlicense"
] | 1 | 2021-06-02T00:01:00.000Z | 2021-06-02T00:01:00.000Z | page_locators/accounts_overview_page_locator.py | ikostan/ParaBankSeleniumAutomation | e28a886adba89b82a60831ad96a3a8f00f863116 | [
"Unlicense"
] | 2 | 2019-08-12T10:06:00.000Z | 2020-12-25T05:52:40.000Z | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
from selenium.webdriver.common.by import By
from page_locators.base_page_locator import BasePageLocator
from expected_results.page_content.account_overview_content import AccountOverviewContent
clas... | 34.266667 | 89 | 0.772374 |
f7975d77dbf690907ad5eda0e7b73a54d36dbeb8 | 44,998 | py | Python | NBA Project/venv/Lib/site-packages/plotly/figure_factory/_scatterplot.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | 2 | 2019-11-08T07:01:11.000Z | 2019-11-17T10:10:49.000Z | NBA Project/venv/Lib/site-packages/plotly/figure_factory/_scatterplot.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | 12 | 2020-06-06T01:22:26.000Z | 2022-03-12T00:13:42.000Z | NBA Project/venv/Lib/site-packages/plotly/figure_factory/_scatterplot.py | EnriqueGambra/Most-Efficient-NBA-Players | ea67c28b5294dbc9713200a937deb9f4211ba754 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
import six
from plotly import exceptions, optional_imports
import plotly.colors as clrs
from plotly.figure_factory import utils
from plotly.graph_objs import graph_objs
from plotly.tools import make_subplots
pd = optional_imports.get_module("pandas")
DIAG_CHOICES = ["scatter",... | 38.791379 | 88 | 0.459665 |
f7975f715d0ecfaa4c7d922db5e355941f7fbe15 | 6,358 | py | Python | tests/test_layers.py | eighttails/kraken | 6e3b7d6e86d673acf5633e6e23292cb82f1a114e | [
"Apache-2.0"
] | null | null | null | tests/test_layers.py | eighttails/kraken | 6e3b7d6e86d673acf5633e6e23292cb82f1a114e | [
"Apache-2.0"
] | null | null | null | tests/test_layers.py | eighttails/kraken | 6e3b7d6e86d673acf5633e6e23292cb82f1a114e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
from nose.tools import raises
import torch
from kraken.lib import layers
class TestLayers(unittest.TestCase):
"""
Testing custom layer implementations.
"""
def setUp(self):
torch.set_grad_enabled(False)
def test_maxpool(self):
"""
... | 32.274112 | 88 | 0.558194 |
f7978ee4d0c59008fbaaffc061829f87bca9bade | 6,519 | py | Python | pylrc/classes.py | SplitGemini/pylrc | b0da5234b7483654c2f215d393f608f5e8db9893 | [
"MIT"
] | null | null | null | pylrc/classes.py | SplitGemini/pylrc | b0da5234b7483654c2f215d393f608f5e8db9893 | [
"MIT"
] | null | null | null | pylrc/classes.py | SplitGemini/pylrc | b0da5234b7483654c2f215d393f608f5e8db9893 | [
"MIT"
] | null | null | null | from .utilities import unpackTimecode, findEvenSplit, getDuration, containsAny
class LyricLine:
"""An object that holds a lyric line and it's time"""
def __init__(self, timecode, text=""):
self.hours = 0
self.minutes, self.seconds, self.milliseconds = unpackTimecode(timecode)
self.time... | 34.492063 | 97 | 0.49931 |
f797dd099a3da21d9f3ce2ed111b6faac0d0f102 | 5,308 | py | Python | apubsub/server.py | outcatcher/apubsub | b5e86309a7ac76f0cbfbe1982bce6d238cb5f543 | [
"MIT"
] | null | null | null | apubsub/server.py | outcatcher/apubsub | b5e86309a7ac76f0cbfbe1982bce6d238cb5f543 | [
"MIT"
] | 13 | 2020-01-16T13:05:01.000Z | 2020-10-13T10:35:26.000Z | apubsub/server.py | outcatcher/apubsub | b5e86309a7ac76f0cbfbe1982bce6d238cb5f543 | [
"MIT"
] | 1 | 2020-03-19T09:25:29.000Z | 2020-03-19T09:25:29.000Z | """Message service"""
import asyncio
import logging
import socket
import time
from collections import deque
from multiprocessing import Event, Lock, Process, synchronize
from typing import Deque, Dict, Set
from uuid import uuid4
from .client import Client, LOCALHOST
from .connection_wrapper import NoData, NotMessage,... | 31.408284 | 101 | 0.640354 |
f797ddedd6cf73a362f3b5725868b96f381a5c1e | 10,846 | py | Python | tests/unit/test_interactor.py | nhsuk/ui-test-core | 089a93a3f375993812c3c5946f18985f99b42a6f | [
"MIT"
] | 8 | 2019-09-16T14:31:38.000Z | 2022-02-03T21:26:04.000Z | tests/unit/test_interactor.py | nhsuk/ui-test-core | 089a93a3f375993812c3c5946f18985f99b42a6f | [
"MIT"
] | 12 | 2019-09-13T14:47:26.000Z | 2022-01-10T11:24:52.000Z | tests/unit/test_interactor.py | nhsuk/ui-test-core | 089a93a3f375993812c3c5946f18985f99b42a6f | [
"MIT"
] | 4 | 2019-09-16T14:49:53.000Z | 2022-02-02T15:42:01.000Z | from unittest import mock
from unittest.mock import MagicMock
from hamcrest import assert_that, equal_to, contains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from tests.unit.unit_test_utils import check_mocked_functions_called
from uitestcore.finder import Finder
from ui... | 32.767372 | 114 | 0.739904 |
f797fdf30c79f11835fb6ce904448af2f0db6339 | 8,640 | py | Python | benchmark/cifar10/cifar10_gpipe.py | animeshtrivedi/surf-ml | 73102c69f303d5b289841e6116a607561e36595c | [
"Apache-2.0"
] | 9 | 2020-10-21T11:40:51.000Z | 2021-09-25T07:50:22.000Z | benchmark/cifar10/cifar10_gpipe.py | animeshtrivedi/surf-ml | 73102c69f303d5b289841e6116a607561e36595c | [
"Apache-2.0"
] | null | null | null | benchmark/cifar10/cifar10_gpipe.py | animeshtrivedi/surf-ml | 73102c69f303d5b289841e6116a607561e36595c | [
"Apache-2.0"
] | null | null | null | '''
Cifar10 example in pytorch
'''
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import os
import torch.optim as optim
from torchvision import datasets, transforms
from torchgpipe import GPipe
from torchgpipe.balance import balance_by_time
from typing import cast
import time
fro... | 36.455696 | 125 | 0.589931 |
f7982478de7a33f6209041f9e797f0e9c917f58e | 517 | py | Python | exercicio_02.py | alef123vinicius/Estudo_python | 30b121d611f94eb5df9fbb41ef7279546143221b | [
"Apache-2.0"
] | 1 | 2021-02-10T14:59:44.000Z | 2021-02-10T14:59:44.000Z | exercicio_02.py | alef123vinicius/Estudo_python | 30b121d611f94eb5df9fbb41ef7279546143221b | [
"Apache-2.0"
] | null | null | null | exercicio_02.py | alef123vinicius/Estudo_python | 30b121d611f94eb5df9fbb41ef7279546143221b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 11 15:39:27 2021
@author: alef
"""
"""
Implementar uma função que retorne verdadeiro se o número for primo
falso caso o contrário. Testar de 1 a 100
"""
def primo(num):
soma = 0
for i in range(1, num+1):
# print('i = >',i)
... | 19.884615 | 67 | 0.558994 |
f79827089b76f9a04548fcc33426e92ecd1887c9 | 2,274 | py | Python | docs/conf.py | yupeekiyay/ofta365 | 1a48620fe6455eb80e673d15406950c8fa26755c | [
"MIT"
] | null | null | null | docs/conf.py | yupeekiyay/ofta365 | 1a48620fe6455eb80e673d15406950c8fa26755c | [
"MIT"
] | null | null | null | docs/conf.py | yupeekiyay/ofta365 | 1a48620fe6455eb80e673d15406950c8fa26755c | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 36.095238 | 79 | 0.666667 |
f798458661aa8c5793c376e1cf6c10e4f3949e1f | 19,125 | py | Python | dali/python/nvidia/dali/plugin/pytorch.py | ancientmooner/DALI | 355e8db8130cee0d20e9ae3d698f195278544995 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2020-05-09T03:07:07.000Z | 2021-06-15T14:48:04.000Z | dali/python/nvidia/dali/plugin/pytorch.py | ancientmooner/DALI | 355e8db8130cee0d20e9ae3d698f195278544995 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | dali/python/nvidia/dali/plugin/pytorch.py | ancientmooner/DALI | 355e8db8130cee0d20e9ae3d698f195278544995 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-04-26T14:59:51.000Z | 2020-04-26T14:59:51.000Z | # Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 47.339109 | 130 | 0.597542 |
f7985856a0f66d50697fcfeaef1a5c6abeaa8eb6 | 27,003 | py | Python | src/rprblender/engine/render_engine.py | ralic/RadeonProRenderBlenderAddon | 310c650d4230289ac5d5407cc24a13b4c7ce0a90 | [
"Apache-2.0"
] | 1 | 2021-03-29T05:55:49.000Z | 2021-03-29T05:55:49.000Z | src/rprblender/engine/render_engine.py | ralic/RadeonProRenderBlenderAddon | 310c650d4230289ac5d5407cc24a13b4c7ce0a90 | [
"Apache-2.0"
] | 1 | 2021-04-03T09:39:28.000Z | 2021-04-03T09:39:28.000Z | src/rprblender/engine/render_engine.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... | 41.607088 | 124 | 0.619227 |
f7988200737608d1197df4a9717a38296b851910 | 737 | py | Python | python/web/src/settings.py | mynameistroy/RASCSI | 6b7673e641f13ad963148e4656bbd610903d7aa7 | [
"BSD-3-Clause"
] | null | null | null | python/web/src/settings.py | mynameistroy/RASCSI | 6b7673e641f13ad963148e4656bbd610903d7aa7 | [
"BSD-3-Clause"
] | null | null | null | python/web/src/settings.py | mynameistroy/RASCSI | 6b7673e641f13ad963148e4656bbd610903d7aa7 | [
"BSD-3-Clause"
] | null | null | null | """
Constant definitions used by other modules
"""
from os import getenv, getcwd
import rascsi.common_settings
WEB_DIR = getcwd()
HOME_DIR = "/".join(WEB_DIR.split("/")[0:3])
AFP_DIR = f"{HOME_DIR}/afpshare"
MAX_FILE_SIZE = getenv("MAX_FILE_SIZE", str(1024 * 1024 * 1024 * 4)) # 4gb
ARCHIVE_FILE_SUFFIX = "zip"
# ... | 27.296296 | 76 | 0.742198 |
f79887be10a59ad4ddcc5f325271d58d657dd159 | 4,424 | py | Python | oscar/lib/python2.7/site-packages/django/core/cache/backends/locmem.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/django/core/cache/backends/locmem.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/django/core/cache/backends/locmem.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | "Thread-safe in-memory cache backend."
import time
from contextlib import contextmanager
from django.core.cache.backends.base import DEFAULT_TIMEOUT, BaseCache
from django.utils.synch import RWLock
try:
from django.utils.six.moves import cPickle as pickle
except ImportError:
import pickle
# G... | 32.057971 | 95 | 0.572785 |
f7989bec64e1b8accfd41f7fad4debe7d67350c8 | 8,926 | py | Python | jawa/util/bytecode.py | 4577/Jawa | 23f93020ef6687567e45a9afa09bfd6e0faf6f0a | [
"MIT"
] | null | null | null | jawa/util/bytecode.py | 4577/Jawa | 23f93020ef6687567e45a9afa09bfd6e0faf6f0a | [
"MIT"
] | null | null | null | jawa/util/bytecode.py | 4577/Jawa | 23f93020ef6687567e45a9afa09bfd6e0faf6f0a | [
"MIT"
] | 1 | 2021-01-21T12:17:39.000Z | 2021-01-21T12:17:39.000Z | """
Utilities for reading & writing JVM method bytecode.
"""
import json
import enum
import pkgutil
from struct import unpack, pack, Struct
from itertools import repeat
from collections import namedtuple
Operand = namedtuple('Operand', ['op_type', 'value'])
_Instruction = namedtuple('Instruction', [
'mnemonic',
... | 30.053872 | 74 | 0.567443 |
f798aa40199f0a8276d8ca12f1d0b1ba2964bfa2 | 1,403 | py | Python | PyQuante/Constants.py | certik/pyquante | f5cae27f519b1c1b70afbebfe8b5c83cb4b3c2a6 | [
"DOC"
] | 8 | 2016-08-26T14:57:01.000Z | 2019-12-23T07:39:37.000Z | PyQuante/Constants.py | nicodgomez/pyquante | 483571110b83cab406d3d4d8f2eba5cae0a2da58 | [
"DOC"
] | 1 | 2019-02-03T10:44:02.000Z | 2019-02-03T10:44:02.000Z | PyQuante/Constants.py | globulion/pyq-mod | ee32b6685e9c1e915c5c515ef7ab83adc200fa9b | [
"DOC"
] | 8 | 2016-02-23T19:22:11.000Z | 2021-08-28T12:12:59.000Z | """\
Constants.py: Constants for PyQuante
This program is part of the PyQuante quantum chemistry program suite.
Copyright (c) 2004, Richard P. Muller. All Rights Reserved.
PyQuante version 1.2 and later is covered by the modified BSD
license. Please see the file LICENSE that is part of this
distribution.
"""... | 29.229167 | 79 | 0.721311 |
f79905901a4a762253bbefd3b6cdec3c0ddf018a | 187 | py | Python | easy/Length of Last Word/solution.py | ashutosh1919/leetcode-problems | 65f99a3694549af88c7702b598de1a8ccb7db5fb | [
"MIT"
] | 8 | 2021-08-21T19:10:04.000Z | 2022-03-11T14:30:02.000Z | easy/Length of Last Word/solution.py | ashutosh1919/leetcode-problems | 65f99a3694549af88c7702b598de1a8ccb7db5fb | [
"MIT"
] | null | null | null | easy/Length of Last Word/solution.py | ashutosh1919/leetcode-problems | 65f99a3694549af88c7702b598de1a8ccb7db5fb | [
"MIT"
] | 1 | 2021-08-24T06:29:02.000Z | 2021-08-24T06:29:02.000Z | # Time complexity: O(n)
# Approach: Strip + Split + Return length of last element
class Solution:
def lengthOfLastWord(self, s: str) -> int:
return len(s.strip().split()[-1]) | 31.166667 | 57 | 0.657754 |
f7990c6306be7b2d7b20bee81e557ca5b25b92d4 | 159,142 | py | Python | aiven/client/cli.py | Sodki/aiven-client | 4c4ac6868966536d30601628dc80f9bd680bc463 | [
"Apache-2.0"
] | null | null | null | aiven/client/cli.py | Sodki/aiven-client | 4c4ac6868966536d30601628dc80f9bd680bc463 | [
"Apache-2.0"
] | null | null | null | aiven/client/cli.py | Sodki/aiven-client | 4c4ac6868966536d30601628dc80f9bd680bc463 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015, Aiven, https://aiven.io/
#
# This file is under the Apache License, Version 2.0.
# See the file `LICENSE` for details.
from . import argx, client
from aiven.client import envdefault
from aiven.client.cliarg import arg
from aiven.client.speller import suggest
from collections import Counter
from decima... | 38.440097 | 125 | 0.597215 |
f79927e033891b5b08a29caf0b8a223200a31831 | 1,278 | py | Python | alipay/aop/api/domain/AlipayEcoSmsSendModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipayEcoSmsSendModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipayEcoSmsSendModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayEcoSmsSendModel(object):
def __init__(self):
self._content = None
self._phone = None
@property
def content(self):
return self._content
@content.setter
... | 22.821429 | 65 | 0.553991 |
f7995e3da5a1e6d0838dd11bac3c3663b437302b | 80,848 | py | Python | sdk/rdbms/azure-mgmt-rdbms/azure/mgmt/rdbms/mysql_flexibleservers/models/_models_py3.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/rdbms/azure-mgmt-rdbms/azure/mgmt/rdbms/mysql_flexibleservers/models/_models_py3.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/rdbms/azure-mgmt-rdbms/azure/mgmt/rdbms/mysql_flexibleservers/models/_models_py3.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 ... | 38.794626 | 168 | 0.653226 |
f799671f2a92023459744552c60e7e397663379b | 1,963 | py | Python | liquid/exts/filter_colon.py | victorbnl/liquidpy | 56eee6c4cb1e0548655a8cb74d6424c1311740e0 | [
"Apache-2.0"
] | null | null | null | liquid/exts/filter_colon.py | victorbnl/liquidpy | 56eee6c4cb1e0548655a8cb74d6424c1311740e0 | [
"Apache-2.0"
] | null | null | null | liquid/exts/filter_colon.py | victorbnl/liquidpy | 56eee6c4cb1e0548655a8cb74d6424c1311740e0 | [
"Apache-2.0"
] | null | null | null | """Provides an extension to use colon to separate filter and its arguments
Jinja uses `{{a | filter(arg)}}`, but liquid uses `{{a | filter: arg}}`
"""
from typing import Iterable
from jinja2.ext import Extension
from jinja2.lexer import (
TOKEN_ASSIGN,
TOKEN_BLOCK_END,
TOKEN_COLON,
TOKEN_LPAREN,
TO... | 32.716667 | 79 | 0.563423 |
f799d80efe930022383b6ef699934cec8cf85af9 | 10,000 | py | Python | deepensemble/utils/utils_models.py | pdoren/correntropy-and-ensembles-in-deep-learning | b8e39e0ea97395e9f4ef5e9b351551a89fedc885 | [
"MIT"
] | 1 | 2017-11-22T15:35:45.000Z | 2017-11-22T15:35:45.000Z | deepensemble/utils/utils_models.py | pdoren/correntropy-and-ensembles-in-deep-learning | b8e39e0ea97395e9f4ef5e9b351551a89fedc885 | [
"MIT"
] | null | null | null | deepensemble/utils/utils_models.py | pdoren/correntropy-and-ensembles-in-deep-learning | b8e39e0ea97395e9f4ef5e9b351551a89fedc885 | [
"MIT"
] | 1 | 2021-12-14T04:16:57.000Z | 2021-12-14T04:16:57.000Z | from theano import shared
from .cost_functions import mse, cip_relevancy, cip_redundancy, neg_corr, cip_synergy, cip_full
from .logger import Logger
from .regularizer_functions import L2
from .score_functions import mutual_information_cs
from .update_functions import sgd, count_iterations, sgd_cip
from .utils_function... | 44.247788 | 129 | 0.5717 |
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