xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

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py

Python

article/views/__init__.py

vyahello/newspaper-parser

ad986dfc43e089f376ffe96251cf6481df133329

[ "MIT" ]

null

article/views/__init__.py

vyahello/newspaper-parser

ad986dfc43e089f376ffe96251cf6481df133329

[ "MIT" ]

3

2020-08-20T10:19:16.000Z

2022-01-28T10:38:22.000Z

article/views/__init__.py

vyahello/newspaper-parser

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[ "MIT" ]

null

"""Package contains API for application views."""

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Python

statsmodels/tsa/tests/results/make_arma.py

jbrockmendel/statsmodels

61155fff1883ffb49d252ae22b2638f73b24ab21

[ "BSD-3-Clause" ]

null

statsmodels/tsa/tests/results/make_arma.py

jbrockmendel/statsmodels

61155fff1883ffb49d252ae22b2638f73b24ab21

[ "BSD-3-Clause" ]

null

statsmodels/tsa/tests/results/make_arma.py

jbrockmendel/statsmodels

61155fff1883ffb49d252ae22b2638f73b24ab21

[ "BSD-3-Clause" ]

null

import numpy as np from statsmodels.tsa.arima_process import arma_generate_sample from statsmodels.iolib import savetxt np.random.seed(12345) # no constant y_arma11 = arma_generate_sample([1., -.75],[1., .35], nsample=250) y_arma14 = arma_generate_sample([1., -.75],[1., .35, -.75, .1, .35], nsample=250) y_arma41 = arma_generate_sample([1., -.75, .25, .25, -.75], [1., .35], nsample=250) y_arma22 = arma_generate_sample([1., -.75, .45],[1., .35, -.9], nsample=250) y_arma50 = arma_generate_sample([1., -.75, .35, -.3, -.2, .1], [1.], nsample=250) y_arma02 = arma_generate_sample([1.], [1., .35, -.75], nsample=250) # constant constant = 4.5 y_arma11c = arma_generate_sample([1., -.75],[1., .35], nsample=250) + constant y_arma14c = arma_generate_sample([1., -.75],[1., .35, -.75, .1, .35], nsample=250) + constant y_arma41c = arma_generate_sample([1., -.75, .25, .25, -.75], [1., .35], nsample=250) + constant y_arma22c = arma_generate_sample([1., -.75, .45],[1., .35, -.9], nsample=250) + constant y_arma50c = arma_generate_sample([1., -.75, .35, -.3, -.2, .1], [1.], nsample=250) + constant y_arma02c = arma_generate_sample([1.], [1., .35, -.75], nsample=250) + constant savetxt( 'y_arma_data.csv', np.column_stack((y_arma11, y_arma14, y_arma41, y_arma22, y_arma50, y_arma02, y_arma11c,y_arma14c, y_arma41c, y_arma22c, y_arma50c, y_arma02c)), names=['y_arma11', 'y_arma14', 'y_arma41', 'y_arma22', 'y_arma50', 'y_arma02', 'y_arma11c', 'y_arma14c', 'y_arma41c', 'y_arma22c', 'y_arma50c', 'y_arma02c'], delimiter=",")

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Python

deid/experiment/random.py

KavishBhatia/deid-training-data

9d586cd7f52d929b2571028365587d3f96e44caa

[ "MIT" ]

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2018-10-28T13:57:55.000Z

2022-01-03T07:25:04.000Z

deid/experiment/random.py

KavishBhatia/deid-training-data

9d586cd7f52d929b2571028365587d3f96e44caa

[ "MIT" ]

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2019-04-29T13:55:52.000Z

2021-12-13T19:51:30.000Z

deid/experiment/random.py

KavishBhatia/deid-training-data

9d586cd7f52d929b2571028365587d3f96e44caa

[ "MIT" ]

3

2019-08-01T19:02:37.000Z

2021-01-08T09:12:25.000Z

def setup_random(): import os import random import numpy as np import tensorflow as tf os.environ['PYTHONHASHSEED'] = '0' np.random.seed(1) random.seed(2) tf.set_random_seed(3)

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Python

tests/app/views/test_errors.py

qateam123/eq

704757952323647d659c49a71975c56406ff4047

[ "MIT" ]

null

tests/app/views/test_errors.py

qateam123/eq

704757952323647d659c49a71975c56406ff4047

[ "MIT" ]

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2020-03-24T15:24:18.000Z

2022-03-02T04:32:56.000Z

tests/app/views/test_errors.py

qateam123/eq

704757952323647d659c49a71975c56406ff4047

[ "MIT" ]

null

def test_errors_404(survey_runner): response = survey_runner.test_client().get('/hfjdskahfjdkashfsa') assert response.status_code == 404 assert '<title>Error</title' in response.get_data(True)

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py

Python

Bbox_3d/models/losses/__init__.py

Twizwei/maskrcnn_detector

095584f813acb40c937672ff5b63603d40095a2a

[ "MIT" ]

1

2020-11-17T08:34:08.000Z

Bbox_3d/models/losses/__init__.py

Twizwei/maskrcnn_detector

095584f813acb40c937672ff5b63603d40095a2a

[ "MIT" ]

null

Bbox_3d/models/losses/__init__.py

Twizwei/maskrcnn_detector

095584f813acb40c937672ff5b63603d40095a2a

[ "MIT" ]

null

from .base_losses import * from .task_losses import * __all__ = [ 'BaseLoss', 'MSE', 'Smooth_L1', 'CrossEntropy', 'Cosine_Expansion', 'Dimension_Loss', 'Pose_Loss' ]

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py

Python

singleton/simplelogger/__init__.py

cnsapril/python-design-pattern-tutorial

2a71ac5e47d7dc8fd319b6493ac063cbea6bae0f

[ "MIT" ]

null

singleton/simplelogger/__init__.py

cnsapril/python-design-pattern-tutorial

2a71ac5e47d7dc8fd319b6493ac063cbea6bae0f

[ "MIT" ]

null

singleton/simplelogger/__init__.py

cnsapril/python-design-pattern-tutorial

2a71ac5e47d7dc8fd319b6493ac063cbea6bae0f

[ "MIT" ]

null

from singleton.simplelogger.simple_logger import SimpleLogger

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py

Python

Webhook/views.py

donorgrid/donorgrid

4139df3ceaf767b9696aa4208e3721472f03592a

[ "MIT" ]

8

2021-09-01T03:38:45.000Z

2021-12-23T20:00:37.000Z

Webhook/views.py

donorgrid/donorgrid

4139df3ceaf767b9696aa4208e3721472f03592a

[ "MIT" ]

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2021-10-22T03:16:50.000Z

2022-03-28T03:13:24.000Z

Webhook/views.py

raunakhajela/DonorGrid

5218951d395bae9fd722835634a1998a6015d756

[ "MIT" ]

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2021-08-13T15:05:41.000Z

2022-01-03T09:40:19.000Z

from django.http import HttpRequest, HttpResponse from django.views.decorators.csrf import csrf_exempt # Create your views here. @csrf_exempt def paypal(request: HttpRequest): return HttpResponse("OK") @csrf_exempt def stripe(request: HttpRequest): return HttpResponse("OK") @csrf_exempt def razorpay(request: HttpRequest): return HttpResponse("OK")

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Python

tabu_search_pdptw.py

yuan-xin-9997/PDPTW_Code_PyCharm_Project_Github

639b2a5bf54a4ba7be8d16ab70ff36bdecfd492e

[ "Apache-2.0" ]

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tabu_search_pdptw.py

yuan-xin-9997/PDPTW_Code_PyCharm_Project_Github

639b2a5bf54a4ba7be8d16ab70ff36bdecfd492e

[ "Apache-2.0" ]

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tabu_search_pdptw.py

yuan-xin-9997/PDPTW_Code_PyCharm_Project_Github

639b2a5bf54a4ba7be8d16ab70ff36bdecfd492e

[ "Apache-2.0" ]

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2022-02-24T11:43:44.000Z

2022-03-04T02:38:09.000Z

# -*- coding: utf-8 -*- """ @author: yuan_xin @contact: yuanxin9997@qq.com @file: tabu_search_pdptw.py @time: 2020/10/19 16:57 @description: """

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Python

steewi/products/apps.py

HardBite/steewi

b79d527843964ba3b8f56f554d56c4383db71640

[ "BSD-3-Clause" ]

null

steewi/products/apps.py

HardBite/steewi

b79d527843964ba3b8f56f554d56c4383db71640

[ "BSD-3-Clause" ]

null

steewi/products/apps.py

HardBite/steewi

b79d527843964ba3b8f56f554d56c4383db71640

[ "BSD-3-Clause" ]

null

from django.apps import AppConfig class ProductsConfig(AppConfig): name = 'steewi.products'

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py

Python

enchanter/tasks/__init__.py

khirotaka/enchanter

71faa51f998da5c8d9185a979a4f5849c9b5f9e6

[ "Apache-2.0" ]

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2020-04-18T03:09:19.000Z

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enchanter/tasks/__init__.py

khirotaka/enchanter

71faa51f998da5c8d9185a979a4f5849c9b5f9e6

[ "Apache-2.0" ]

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enchanter/tasks/__init__.py

khirotaka/enchanter

71faa51f998da5c8d9185a979a4f5849c9b5f9e6

[ "Apache-2.0" ]

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2020-02-12T12:23:51.000Z

2021-07-19T11:41:04.000Z

from .classification import ClassificationRunner from .regression import RegressionRunner, AutoEncoderRunner from .ensemble import HardEnsemble, SoftEnsemble, BaseEnsembleEstimator from .ts_unsupervised import TimeSeriesUnsupervisedRunner __all__ = [ "ClassificationRunner", "RegressionRunner", "HardEnsemble", "SoftEnsemble", "BaseEnsembleEstimator", "TimeSeriesUnsupervisedRunner", "AutoEncoderRunner", ]

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Python

jobs/d0001.py

zingson/hddpy

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[ "Apache-2.0" ]

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jobs/d0001.py

zingson/hddpy

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jobs/d0001.py

zingson/hddpy

2ed511dabe9eb63fd6798123475f8113ecf0ceb3

[ "Apache-2.0" ]

null

""" 1. 查询报表数据 2. 生成Excel文件 3. 打包为zip文件并加密 4. 邮件发送文件 5. 邮件发送密码 """

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Python

quspin/operators/__init__.py

marcotav/QuSpin

ba3dbb9c8b4440ad7deba6412444489d45cb7349

[ "BSD-3-Clause" ]

1

2020-05-10T08:32:34.000Z

quspin/operators/__init__.py

marcotav/QuSpin

ba3dbb9c8b4440ad7deba6412444489d45cb7349

[ "BSD-3-Clause" ]

null

quspin/operators/__init__.py

marcotav/QuSpin

ba3dbb9c8b4440ad7deba6412444489d45cb7349

[ "BSD-3-Clause" ]

null

""" ========================================== Operators module (:mod:`quspin.operators`) ========================================== Classes and functions for constructing and manipulating quantum operators, and implementing Schroedinger time evolution. Many-body operators in QuSpin are defined by a string of letters representing the operator types, together with a list which holds the indices for the sites that each operator acts at on, in the lattice. For example, in a spin-1/2 system we can represent any multi-spin operator as: .. math:: \\begin{array}{cccc} \\text{operator string} & \\text{site-coupling list} & & \\text{spin operator} \\newline \\mu_1,\\dots,\\mu_n & [J,i_1,\dots,i_n] & \\Leftrightarrow & J\\sigma_{i_1}^{\\mu_1}\\cdots\\sigma_{i_n}^{\\mu_n} \\newline \\end{array} where :math:`\\mu_i` can be "I", z", "+", "-", "x" or "y". Here, :math:`\\sigma_{i_n}^{\\mu_n}` is the Pauli spin operator acting on lattice site :math:`i_n`. This representation provides a way to conveniently define any multi-body spin-1/2 operator, and generalises to bosons and fermions in a natural way. To construct operators for different particle spieces, check out the `basis` constructor classes for the supported operator strings. classes -------- .. currentmodule:: quspin.operators .. autosummary:: :toctree: generated/ hamiltonian quantum_operator exp_op quantum_LinearOperator functions ---------- .. autosummary:: :toctree: generated/ commutator anti_commutator ishamiltonian isquantum_operator isexp_op isquantum_LinearOperator """ from .hamiltonian_core import * from .quantum_operator_core import * from .exp_op_core import * from .quantum_LinearOperator_core import *

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Python

requirements.py

Mathieu-Lala/Cute_Solar_System_-3

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[ "MIT" ]

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2021-06-03T11:20:09.000Z

2022-02-11T06:52:54.000Z

requirements.py

Mathieu-Lala/Cute_Solar_System_-3

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2021-05-29T09:25:57.000Z

2021-06-28T04:49:22.000Z

requirements.py

Mathieu-Lala/Kawaii_Engine

0bfe496991344709481995af348da2be37a19cac

[ "MIT" ]

null

conan>=1.37 cmakelang>=0.6

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Python

aws_xray_sdk/version.py

jay-johnson/aws-xray-sdk-python

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2017-10-10T19:01:04.000Z

2022-03-18T15:52:19.000Z

aws_xray_sdk/version.py

jay-johnson/aws-xray-sdk-python

8d093b44521b6e6e0a6fd2ab6807c2dbcf4176b8

[ "Apache-2.0" ]

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2017-10-20T09:27:21.000Z

2022-03-29T15:33:45.000Z

aws_xray_sdk/version.py

jay-johnson/aws-xray-sdk-python

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2017-10-11T13:55:17.000Z

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VERSION = '2.8.0'

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Python

remediation-functions/kinesis/__init__.py

Cloudneeti/aws-auto-remediation

d9dc91f1cacfdbc209b624bde9ca783cfadc4509

[ "MIT" ]

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2019-09-26T12:53:01.000Z

2021-05-14T17:39:21.000Z

remediation-functions/kinesis/__init__.py

Cloudneeti/aws-auto-remediation

d9dc91f1cacfdbc209b624bde9ca783cfadc4509

[ "MIT" ]

1

2020-02-18T06:22:25.000Z

remediation-functions/kinesis/__init__.py

Cloudneeti/aws-auto-remediation

d9dc91f1cacfdbc209b624bde9ca783cfadc4509

[ "MIT" ]

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2020-01-08T13:16:26.000Z

2021-07-25T08:03:27.000Z

__all__ = ["kinesis_enhancedmonitoring", "kinesis_sse"]

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Python

pyleaves/leavesdb/tf_utils/__init__.py

JacobARose/pyleaves

27b4016c850148981f3d021028c9272f18df121d

[ "MIT" ]

3

2019-11-25T14:50:54.000Z

2020-05-27T06:54:46.000Z

pyleaves/leavesdb/tf_utils/__init__.py

JacobARose/pyleaves

27b4016c850148981f3d021028c9272f18df121d

[ "MIT" ]

6

2019-11-21T06:24:37.000Z

2019-12-19T14:49:14.000Z

pyleaves/leavesdb/tf_utils/__init__.py

JacobARose/pyleaves

27b4016c850148981f3d021028c9272f18df121d

[ "MIT" ]

null

# from . import (create_tfrecords, # tf_utils)

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97e797e2ded96485d103a0e7e49448e4268423f2

116

py

Python

SETUP/setup.py

1-1-1-1-1-1-1-1/LocalKey

46116eba765f16c85409006f1ab0182fc45658db

[ "Unlicense" ]

1

2020-07-18T12:45:57.000Z

SETUP/setup.py

1-1-1-1-1-1-1-1/LocalKey

46116eba765f16c85409006f1ab0182fc45658db

[ "Unlicense" ]

null

SETUP/setup.py

1-1-1-1-1-1-1-1/LocalKey

46116eba765f16c85409006f1ab0182fc45658db

[ "Unlicense" ]

null

import os import sys os.system("pip install -r requirements.txt") sys.exit(input("\nDone. Exiting: press Enter"))

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null

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97ee74cffd34e19b86cdb9344f3923bb2065c11b

684

py

Python

oscar/lib/python2.7/site-packages/phonenumbers/shortdata/region_BO.py

AMuratTuran/mkn

557086426773ced10d82c969304bd349414a601e

[ "BSD-3-Clause" ]

4

2018-10-19T04:36:20.000Z

2020-02-13T16:14:09.000Z

oscar/lib/python2.7/site-packages/phonenumbers/shortdata/region_BO.py

AMuratTuran/mkn

557086426773ced10d82c969304bd349414a601e

[ "BSD-3-Clause" ]

5

2020-03-24T16:37:25.000Z

2021-06-10T21:24:54.000Z

upibo-venv/Lib/site-packages/phonenumbers/shortdata/region_BO.py

smbpgroup/upibo

625dcda9f9692c62aeb9fe8f7123a5d407c610ae

[ "BSD-3-Clause" ]

null

"""Auto-generated file, do not edit by hand. BO metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_BO = PhoneMetadata(id='BO', country_code=None, international_prefix=None, general_desc=PhoneNumberDesc(national_number_pattern='[14]\\d{2,4}', possible_length=(3, 5)), emergency=PhoneNumberDesc(national_number_pattern='11[089]', example_number='110', possible_length=(3,)), short_code=PhoneNumberDesc(national_number_pattern='11[089]|40404', example_number='110', possible_length=(3, 5)), sms_services=PhoneNumberDesc(national_number_pattern='40404', example_number='40404', possible_length=(5,)), short_data=True)

68.4

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null

0

1

0

1

0

1

0

null

0

4

97ff377f2daab70ed1ecdf9837ce3a39af53400e

237

py

Python

pyobs/exceptions.py

Adirio/obs-websocket-py

56fd49e5aefaf3f7a560a9d8f286e0fb480f4a99

[ "MIT" ]

null

pyobs/exceptions.py

Adirio/obs-websocket-py

56fd49e5aefaf3f7a560a9d8f286e0fb480f4a99

[ "MIT" ]

10

2019-09-11T07:59:42.000Z

2019-09-12T06:30:43.000Z

pyobs/exceptions.py

Adirio/obs-websocket-py

56fd49e5aefaf3f7a560a9d8f286e0fb480f4a99

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- class PyobsException(Exception): pass class ConnectionFailure(PyobsException): pass class MessageTimeout(PyobsException): pass class ObjectError(PyobsException): pass

12.473684

40

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237

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18

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null

0

1

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null

0

1

0

4

3f01a246a2859efdc63581aff49c50b70c9539a0

272

py

Python

access/data/w3act_export_scripts/download_w3act_dump.py

ldbiz/ukwa-services

afa30cf631a3464e53f41244b989e32984c40294

[ "Apache-2.0" ]

2

2020-05-12T18:01:21.000Z

2021-05-18T21:47:32.000Z

access/data/w3act_export_scripts/download_w3act_dump.py

ldbiz/ukwa-services

afa30cf631a3464e53f41244b989e32984c40294

[ "Apache-2.0" ]

53

2020-01-23T16:10:53.000Z

2022-03-30T16:59:17.000Z

access/data/w3act_export_scripts/download_w3act_dump.py

ldbiz/ukwa-services

afa30cf631a3464e53f41244b989e32984c40294

[ "Apache-2.0" ]

5

2020-01-20T17:28:27.000Z

2022-02-08T21:30:12.000Z

import urllib.request import zipfile urllib.request.urlretrieve("http://hdfs.api.wa.bl.uk/webhdfs/v1/9_processing/w3act/w3act-db-csv.zip?user.name=access&op=OPEN", "w3act-db-csv.zip") with zipfile.ZipFile("w3act-db-csv.zip", 'r') as zip_ref: zip_ref.extractall(".")

34

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147

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null

0

1

0

1

0

4

3f426fc66926f81d47431092e2abf7fc38c9e35f

1,007

py

Python

demos/main_queues.py

taskcontrols/py-taskcontrols

0f3f8d64cafc77dfbf23e70b0c86a91fea858ce4

[ "MIT" ]

1

2020-04-17T07:15:14.000Z

demos/main_queues.py

taskcontrols/py-taskcontrols

0f3f8d64cafc77dfbf23e70b0c86a91fea858ce4

[ "MIT" ]

14

2021-11-26T15:18:05.000Z

2021-12-12T03:05:31.000Z

demos/main_queues.py

taskcontrols/py-taskcontrols

0f3f8d64cafc77dfbf23e70b0c86a91fea858ce4

[ "MIT" ]

1

2021-11-26T15:05:52.000Z

from taskcontrol.lib import QueuesBase config = {"name": "test", "maxsize": 10, "queue_type": "queue", "queue": None} queue = QueuesBase() q = queue.new(config) config["queue"] = q # print(config) c = queue.create(config) print(c, queue.validate_add) print(queue.add("test", "test1")) print(queue.add("test", "test2")) print(queue.add("test", "test3")) print(queue.add("test", "test4")) print(queue.add("test", "test5")) print(queue.add("test", "test6")) print(queue.add("test", "test7")) print(queue.add("test", "test8")) print(queue.add("test", "test9")) print(queue.add("test", "test10")) print(queue.add("test", "test11")) print(queue.add("test", "test10")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test")) print(queue.get("test"))

28.771429

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1

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null

0

1

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4

3f5abf537747f99017204aea4aa9f33ee5034649

6,618

py

Python

tests/test_photomeson_model_classes.py

afedynitch/AstroPhoMes

4ae35b51a083a7567b772feffd3b1555631b33ea

[ "CC-BY-4.0" ]

null

tests/test_photomeson_model_classes.py

afedynitch/AstroPhoMes

4ae35b51a083a7567b772feffd3b1555631b33ea

[ "CC-BY-4.0" ]

null

tests/test_photomeson_model_classes.py

afedynitch/AstroPhoMes

4ae35b51a083a7567b772feffd3b1555631b33ea

[ "CC-BY-4.0" ]

null

"""Automated tests for the photmeson model classes """ import numpy as np import sys import unittest sys.path.append('../') from config import * from photomeson_lib.photomeson_models import * class Test_SingleParticleModel(unittest.TestCase): def __init__(self, *args, **kwargs): super(Test_SingleParticleModel, self).__init__(*args, **kwargs) # creating class instance for testing self.pm = SingleParticleModel() def test_nonel_nucleons(self): """ Test that nonel works """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_nonel(101) self.assertTrue(np.all(cs == cs_proton)) e, cs = self.pm.cs_nonel(100) self.assertTrue(np.all(cs == cs_neutron)) def test_nonel_nuclei(self): """ Test that nonel works """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_nonel(1406) cs_mix = 6 * cs_proton + 8 * cs_neutron self.assertTrue(np.all(cs == cs_mix)) def test_incl_nucleons(self): """ Test that nonel works """ from scipy.integrate import trapz cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid redist_p = self.pm.redist_proton redist_n = self.pm.redist_neutron for spec, cs_tot, redist in zip([100, 101], [cs_neutron, cs_proton], [redist_n, redist_p]): for prod in [2, 3, 4, 100, 101]: e, cs = self.pm.cs_incl(spec, prod) cs_val_diff = redist[prod].T * cs_tot cs_val = trapz(cs_val_diff, x=self.pm.xcenters, dx=bin_widths(self.pm.xbins), axis=0) if not np.all(cs == cs_val): print spec, prod self.assertTrue(np.all(cs == cs_val)) def test_incl_nuclei(self): """ Test that nonel works """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_incl(502, 402) cs_val = 3./5*(3 * cs_neutron + 2 * cs_proton) self.assertTrue(np.all(cs == cs_val)) e, cs = self.pm.cs_incl(704, 603) cs_val = 4./7*(3 * cs_neutron + 4 * cs_proton) self.assertTrue(np.all(cs == cs_val)) e, cs = self.pm.cs_incl(1407, 402) cs_val = np.zeros_like(cs) self.assertTrue(np.all(cs == cs_val)) def test_incl_diff_nucleons(self): """ Test that nonel works """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid redist_p = self.pm.redist_proton redist_n = self.pm.redist_neutron for spec, cs_tot, redist in zip([100, 101], [cs_neutron, cs_proton], [redist_n, redist_p]): for prod in [2, 3, 4, 100, 101]: e, cs = self.pm.cs_incl_diff(spec, prod) cs_val = cs_tot * redist[prod].T self.assertTrue(np.all(cs == cs_val)) def test_incl_diff_nuclei(self) : """ Test that nonel works """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_incl_diff(1407, 100) cs_val = 7 * cs_neutron * self.pm.redist_neutron[100].T + \ 7 * cs_proton * self.pm.redist_proton[100].T self.assertTrue(np.all(cs == cs_val)) e, cs = self.pm.cs_incl(4018, 100) cs_val = np.zeros_like(self.pm.cs_proton_grid) self.assertTrue(np.all(cs.shape == cs_val.shape)) e, cs = self.pm.cs_incl_diff(1407, 402) cs_val = np.zeros_like(self.pm.redist_proton[2].T) self.assertTrue(np.all(cs == cs_val)) class Test_EmpiricalModel(Test_SingleParticleModel): def __init__(self, *args, **kwargs): super(Test_EmpiricalModel, self).__init__(*args, **kwargs) # creating class instance for testing self.pm = EmpiricalModel() def test_nonel_nuclei(self): """ Test that nonel works """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_nonel(1406) # cs_mix = 6 * cs_proton + 8 * cs_neutron egrid = self.pm.egrid cs_mix = 1e30 * self.pm.univ_spl(egrid) # universal function cs_mix *= 14.**self.pm.alpha(self.pm.egrid) # mass scaling idcs = np.argwhere((egrid > .3) * (egrid < 1.2)) # universal function range self.assertTrue(np.all(abs(cs[idcs] - cs_mix[idcs]) < 1e-10)) def test_incl_nuclei(self): cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_incl(502, 402) cs_val = 3 * cs_neutron self.assertTrue(np.all(cs != cs_val)) def test_incl_diff_nuclei(self) : """ Test that inclusive differential cross section work """ cs_proton = self.pm.cs_proton_grid cs_neutron = self.pm.cs_neutron_grid e, cs = self.pm.cs_incl_diff(1407, 3) cs_val = 7 * cs_neutron * self.pm.redist_neutron[3].T + \ 7 * cs_proton * self.pm.redist_proton[3].T self.assertTrue(np.any(cs != cs_val)) self.assertTrue(np.any(cs[-50:] == cs_val[-50:])) self.assertTrue(np.any(cs[:-50] != cs_val[-50])) e, cs = self.pm.cs_incl_diff(1407, 100) cs_val = 7 * cs_neutron * self.pm.redist_neutron[100].T + \ 7 * cs_proton * self.pm.redist_proton[100].T self.assertTrue(np.any(cs != cs_val)) e, cs = self.pm.cs_incl(4018, 101) cs_val = np.zeros_like(self.pm.cs_proton_grid) self.assertTrue(np.all(cs.shape == cs_val.shape)) e, cs = self.pm.cs_incl_diff(1407, 402) cs_val = np.zeros_like(self.pm.redist_proton[2].T) self.assertTrue(np.all(cs == cs_val)) class Test_ResidualDecayModel(Test_SingleParticleModel): def __init__(self, *args, **kwargs): super(Test_ResidualDecayModel, self).__init__(*args, **kwargs) # creating class instance for testing self.pm = ResidualDecayModel() def test_nonel_nuclei(self): pass def test_incl_nuclei(self): pass def test_incl_diff_nuclei(self): pass if __name__ == '__main__': unittest.main()

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null

0

1

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4

3f5e713ce92b47fc2b7a17350eed228626cafd2e

218

py

Python

data_as_code/__init__.py

Mikuana/data_as_code

339f0c6bcd4e318ad925ceb4ccd6149f980d4032

[ "MIT" ]

2

2021-05-18T22:04:22.000Z

2021-07-24T19:52:49.000Z

data_as_code/__init__.py

Mikuana/data_as_code

339f0c6bcd4e318ad925ceb4ccd6149f980d4032

[ "MIT" ]

1

2021-03-12T22:56:45.000Z

data_as_code/__init__.py

Mikuana/data_as_code

339f0c6bcd4e318ad925ceb4ccd6149f980d4032

[ "MIT" ]

null

from data_as_code import premade from data_as_code._recipe import Recipe, Role from data_as_code._step import Step, ingredient, result __all__ = [ 'Recipe', 'Step', 'ingredient', 'result' ] __version__ = '0.0.0'

21.8

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1

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58ceb4f326934388faf1c649bcd36d1eeae9485f

1,270

py

Python

invenio_rdm_records/resources/__init__.py

kprzerwa/invenio-rdm-records

d5919b5f1b5f453074fcb2b63929a60bfcb240ed

[ "MIT" ]

null

invenio_rdm_records/resources/__init__.py

kprzerwa/invenio-rdm-records

d5919b5f1b5f453074fcb2b63929a60bfcb240ed

[ "MIT" ]

null

invenio_rdm_records/resources/__init__.py

kprzerwa/invenio-rdm-records

d5919b5f1b5f453074fcb2b63929a60bfcb240ed

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (C) 2020 CERN. # # Invenio-RDM-Records is free software; you can redistribute it and/or modify # it under the terms of the MIT License; see LICENSE file for more details. """Invenio RDM module to create REST APIs.""" from .resources import BibliographicDraftActionResource, \ BibliographicDraftActionResourceConfig, BibliographicDraftResource, \ BibliographicDraftResourceConfig, BibliographicRecordFilesActionResource, \ BibliographicRecordFilesActionResourceConfig, \ BibliographicRecordFilesResource, BibliographicRecordFilesResourceConfig, \ BibliographicRecordResource, BibliographicRecordResourceConfig, \ BibliographicUserRecordsResource, BibliographicUserRecordsResourceConfig __all__ = ( "BibliographicDraftActionResource", "BibliographicDraftActionResourceConfig", "BibliographicDraftResource", "BibliographicDraftResourceConfig", "BibliographicRecordFilesResource", "BibliographicRecordFilesResourceConfig", "BibliographicRecordFilesActionResource", "BibliographicRecordFilesActionResourceConfig", "BibliographicRecordResource", "BibliographicRecordResourceConfig", "BibliographicUserRecordsResource", "BibliographicUserRecordsResourceConfig", )

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0

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58faa111efdaa92218477bbf8132ce6ccd7d7f53

1,291

py

Python

intents/language/entity_language_test.py

dario-chiappetta/dialogflow_agents

ecb03bdce491a3c9d6769816507f3027fd5a60d1

[ "Apache-2.0" ]

6

2021-06-24T12:22:21.000Z

2021-07-21T21:06:19.000Z

intents/language/entity_language_test.py

dario-chiappetta/dialogflow_agents

ecb03bdce491a3c9d6769816507f3027fd5a60d1

[ "Apache-2.0" ]

27

2021-06-05T10:41:08.000Z

2021-11-01T17:29:38.000Z

intents/language/entity_language_test.py

dariowho/intents

ecb03bdce491a3c9d6769816507f3027fd5a60d1

[ "Apache-2.0" ]

null

from intents.language.entity_language import make_language_data, EntityEntry def test_make_entity_language_string_entries(): entries = ["red", "green", "blue"] result = make_language_data(entries) expected = [ EntityEntry(value="red", synonyms=[]), EntityEntry(value="green", synonyms=[]), EntityEntry(value="blue", synonyms=[]) ] assert result == expected def test_make_entity_language_list_entries(): entries = [ ["red", "crimson", "scarlett"], ["green", "emerald"], ["blue", "cyan", "azure"] ] result = make_language_data(entries) expected = [ EntityEntry(value="red", synonyms=["crimson", "scarlett"]), EntityEntry(value="green", synonyms=["emerald"]), EntityEntry(value="blue", synonyms=["cyan", "azure"]) ] assert result == expected def test_make_entity_language_mixed_entries(): entries = [ ["red", "crimson", "scarlett"], "green", ["blue", "cyan", "azure"] ] result = make_language_data(entries) expected = [ EntityEntry(value="red", synonyms=["crimson", "scarlett"]), EntityEntry(value="green", synonyms=[]), EntityEntry(value="blue", synonyms=["cyan", "azure"]) ] assert result == expected

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451f5d4836d5dea13ffa423dc6f8630a2942d076

35

py

Python

modules/2.79/bpy/types/FreestyleSettings.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/FreestyleSettings.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/FreestyleSettings.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

FreestyleSettings.modules = None

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1

0

null

0

1

0

null

0

1

0

4

452dde35176dae2223bfe0fcd234933828362a1d

13,578

py

Python

fun.py

dantefurrybot/dantev4

7282e9466209e794b1e91234a0eb7aa83fd6e413

[ "CC-BY-4.0" ]

1

2020-08-17T15:59:40.000Z

fun.py

dantefurrybot/dantev4

7282e9466209e794b1e91234a0eb7aa83fd6e413

[ "CC-BY-4.0" ]

null

fun.py

dantefurrybot/dantev4

7282e9466209e794b1e91234a0eb7aa83fd6e413

[ "CC-BY-4.0" ]

2

2020-08-08T19:02:27.000Z

2020-08-11T00:40:35.000Z

import discord async def msg(message, x, p, self): msg = x #Check if the message was sent by ourselves: if msg.author == self.user: print('Not a user message.') return #If not, we can execute commands, such as this simple ping! if message == p + "ping": ping = self.latency * 1000 embed = discord.Embed(title = "Pong!", description = '___Took {0}'.format(round(ping, 1)) + "ms___" , color=0x00ff00) await msg.channel.send(embed = embed) if message == "f": await msg.channel.send("<@" + str(msg.author.id) + "> has paid respects") if message == "x": await msg.channel.send("<@" + str(msg.author.id) + "> very much has doubts about this") if message == "make me a sandwich": await msg.channel.send("<@" + str(msg.author.id) + "> I can't... I have no condiments") if message == "what is the meaning of life?": await msg.channel.send("<@" + str(msg.author.id) + "> 42") if message == "kill yourself dante": await msg.channel.send("<@" + str(msg.author.id) + "> no u") cmd = message.split() validcommands = ["!kiss","!hug", "!hugs", "!glomp", "!lick", "!slap", "!nuzzle", "!rubs", "!boop", "!pat", "!throwdict", "!bite", "!bap", "!howl", "!growl", "!cuddle", "!snuggle", "!flop", "!nap", "!blep", "!rawr"] if not cmd[0].lower() in validcommands: return if message.startswith(p + "kiss"): for member in x.mentions: print(member) embed = discord.Embed(title = "Kiss!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a kiss on the cheek!" , color=0x00ff00) if member.id == msg.author.id: return embed.set_thumbnail(url = "https://external-preview.redd.it/Au9jfafmj8FSCgkzvu1odMbw7tLRaye5hWXv5z-Ezus.png?auto=webp&s=bdd727bc7ae09d71521e6d8cec18ef1f69d0a207") await msg.channel.send(embed = embed) if message.startswith(p + "hug"): for member in x.mentions: print(member) embed = discord.Embed(title = "Hug!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a hug!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has hugged themselves! \n\nWhat a loner.." embed.set_thumbnail(url = "https://pm1.narvii.com/6362/398e5e2edeed52fc23d9e85cbbbbe6e5b3951635_hq.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "flop"): if not x.mentions: embed = discord.Embed(title = "Floppp!", description = "<@" + str(msg.author.id) + "> has flopped on the ground!", color=0x00ff00) embed.set_thumbnail(url = "https://i.redd.it/snul7u43bsm11.jpg") await msg.channel.send(embed = embed) for member in x.mentions: print(member) embed = discord.Embed(title = "Floppp!", description = "<@" + str(msg.author.id) + "> has flopped on <@" + str(member.id) + ">!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has flopped on the ground!" embed.set_thumbnail(url = "https://i.redd.it/snul7u43bsm11.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "nap"): if not x.mentions: embed = discord.Embed(title = "Zzz!", description = "<@" + str(msg.author.id) + "> has took a nap!", color=0x00ff00) embed.set_thumbnail(url = "https://i.imgur.com/mZo6DnU.png") await msg.channel.send(embed = embed) for member in x.mentions: print(member) embed = discord.Embed(title = "Zzz!", description = "<@" + str(msg.author.id) + "> has decided to fall asleep on <@" + str(member.id) + ">!" , color=0x00ff00) if member.id == msg.author.id: return embed.set_thumbnail(url = "https://i.imgur.com/mZo6DnU.png") await msg.channel.send(embed = embed) if message.startswith(p + "cuddle"): for member in x.mentions: print(member) embed = discord.Embed(title = "Hug!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a hug!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has hugged themselves! \n\nWhat a loner.." embed.set_thumbnail(url = "https://pm1.narvii.com/6362/398e5e2edeed52fc23d9e85cbbbbe6e5b3951635_hq.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "snuggle"): for member in x.mentions: print(member) embed = discord.Embed(title = "Snuggle!", description = "<@" + str(msg.author.id) + "> has snuggled <@" + str(member.id) + "> tightly!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has snuggled themselves! \n\nWhat a loner.." embed.set_thumbnail(url = "https://66.media.tumblr.com/e7cc512f3e136d610c0c0780e045dbe3/tumblr_p25tmi3fJg1wchqdto1_400.png") await msg.channel.send(embed = embed) if message.startswith(p + "slap"): for member in x.mentions: print(member) embed = discord.Embed(title = "Trout Slap!", description = "<@" + str(msg.author.id) + "> slaps <@" + str(member.id) + "> around a bit with a wet trout!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has slapped themselves with a wet trout! \n\nWut?" embed.set_thumbnail(url = "https://i.pinimg.com/600x315/c7/eb/77/c7eb77dfaa7628a6c3438cd0139bcb78.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "nuzzle"): for member in x.mentions: print(member) embed = discord.Embed(title = "Nuzzle!", description = "<@" + str(msg.author.id) + "> has nuzzled <@" + str(member.id) + ">!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> attempts to nuzzle themselves! \n\nUhhhh..??" embed.set_thumbnail(url = "https://pm1.narvii.com/6427/42cdd0b2870e26482cd6907bce2edca12a82286c_hq.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "pat"): for member in x.mentions: print(member) embed = discord.Embed(title = "Pat!", description = "<@" + str(msg.author.id) + "> has pat <@" + str(member.id) + "> softly on the head!" , color=0x00ff00) if member.id == msg.author.id: return embed.set_thumbnail(url = "https://d.facdn.net/art/itsmekurisu/1550247117/1550247117.itsmekurisu_corrina.png") await msg.channel.send(embed = embed) if message.startswith(p + "throwdict"): for member in x.mentions: print(member) embed = discord.Embed(title = "Do u even knowledge?", description = "<@" + str(msg.author.id) + "> has thrown a dictionary at <@" + str(member.id) + ">, landing softly on their head!" , color=0x00ff00) if member.id == msg.author.id: return embed.set_thumbnail(url = "https://i.imgur.com/n58IlmY.png") await msg.channel.send(embed = embed) if message.startswith(p + "bap"): for member in x.mentions: print(member) embed = discord.Embed(title = "Bad furry!", description = "<@" + str(msg.author.id) + "> has bapped <@" + str(member.id) + "> on the nose with a newspaper!" , color=0x00ff00) if member.id == msg.author.id: return embed.set_thumbnail(url = "https://i.ytimg.com/vi/dNrwSeMY-bk/hqdefault.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "rubs"): if not x.mentions: embed = discord.Embed(title = "Belly rubs!", description = "<@" + str(msg.author.id) + "> demands belly rubs!" , color=0x00ff00) embed.set_thumbnail(url = "https://cdn1.cloudcanvas.website/media/sites/119/2018/01/26063531/Belly-rub.jpg") await msg.channel.send(embed = embed) else: for member in x.mentions: embed = discord.Embed(title = "Belly rubs!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> belly rubs!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> demands belly rubs!" embed.set_thumbnail(url = "https://cdn1.cloudcanvas.website/media/sites/119/2018/01/26063531/Belly-rub.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "howl"): if not x.mentions: embed = discord.Embed(title = "AwooooOooooo!", description = "<@" + str(msg.author.id) + "> has let out a big howl!" , color=0x00ff00) embed.set_thumbnail(url = "https://d.facdn.net/art/windwo1f/1484617505/1484617505.windwo1f_wintie_s_howl.png") await msg.channel.send(embed = embed) else: for member in x.mentions: embed = discord.Embed(title = "AwooooOooooo!", description = "<@" + str(msg.author.id) + "> howls at <@" + str(member.id) + ">" , color=0x00ff00) embed.set_thumbnail(url = "https://d.facdn.net/art/windwo1f/1484617505/1484617505.windwo1f_wintie_s_howl.png") await msg.channel.send(embed = embed) if message.startswith(p + "growl"): if not x.mentions: embed = discord.Embed(title = "A light growl was heard!", description = "<@" + str(msg.author.id) + "> has let out a growl!" , color=0x00ff00) embed.set_thumbnail(url = "https://pm1.narvii.com/6219/8faceb03db01e5c8e64b87dc8fa6d3e18a08011e_hq.jpg") await msg.channel.send(embed = embed) else: for member in x.mentions: embed = discord.Embed(title = "A light growl was heard!", description = "<@" + str(msg.author.id) + "> growls at <@" + str(member.id) +">! Better stay away!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has let out a growl!" embed.set_thumbnail(url = "https://pm1.narvii.com/6219/8faceb03db01e5c8e64b87dc8fa6d3e18a08011e_hq.jpg") await msg.channel.send(embed = embed) if message == p + "blep": embed = discord.Embed(title = "Blep!", description = "<@" + str(msg.author.id) + "> has done a blep!" , color=0x00ff00) embed.set_thumbnail(url = "https://i.redd.it/o49rv5hjacm21.png") await msg.channel.send(embed = embed) if message == p + "rawr": embed = discord.Embed(title = "X3!", description = "<@" + str(msg.author.id) + "> lets out a cute little rawr!" , color=0x00ff00) embed.set_thumbnail(url = "https://d.facdn.net/art/yereren/1492210128/1492210128.yereren_ja.png") await msg.channel.send(embed = embed) if message.startswith(p + "boop"): for member in x.mentions: print(member) embed = discord.Embed(title = "Boop!", description = "<@" + str(msg.author.id) + "> has booped <@" + str(member.id) + ">!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has booped themselves.. now their nose hurts!" embed.set_thumbnail(url = "https://i.pinimg.com/originals/4c/02/bd/4c02bdb8056ef9bb3883f38eb59d4b8e.jpg") await msg.channel.send(embed = embed) if message.startswith(p + "bite"): for member in x.mentions: print(member) embed = discord.Embed(title = "Bite!", description = "<@" + str(msg.author.id) + "> has nibbled at <@" + str(member.id) + ">'s ear!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has bit themselves.. now their hand hurts!" embed.set_thumbnail(url = "https://i.pinimg.com/originals/d3/83/57/d383575a560d2cdc413d5945ea608286.png") await msg.channel.send(embed = embed) if message.startswith(p + "glomp"): for member in x.mentions: print(member) embed = discord.Embed(title = "Glomp!", description = "<@" + str(msg.author.id) + "> has flopped on top of <@" + str(member.id) + ">!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has glomped themselves! \n\nWhat a loner.." embed.set_thumbnail(url = "https://d.facdn.net/art/zaezar/1502813432/1502813432.zaezar_glomp.png") await msg.channel.send(embed = embed) if message.startswith(p + "lick"): for member in x.mentions: print(member) embed = discord.Embed(title = "Slurp!", description = "<@" + str(msg.author.id) + "> has licked <@" + str(member.id) + ">, giving them a bath!" , color=0x00ff00) if member.id == msg.author.id: embed.description = "<@" + str(msg.author.id) + "> has gieven themselves a bath!" embed.set_thumbnail(url = "https://t2.ea.ltmcdn.com/en/images/0/7/5/why_do_cats_lick_each_other_2570_600_square.jpg") await msg.channel.send(embed = embed)

59.292576

218

0.590367

1,666

13,578

4.778511

0.166867

0.067831

0.081522

0.07386

0.759578

0.748398

0.723778

0.705941

0.655697

0.646024

0

0.05668

0.250258

13,578

228

219

59.552632

0.725344

0.007439

0

0.551546

0

0.020619

0.266642

0

0.015436

0

1

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false

0

0.005155

0

0.041237

0.082474

0

null

0

1

0

1

0

null

0

4

453d1c6d64abc00374fe8f1ac4e5201bd290ea3e

1,618

py

Python

ouroboros/auxiliary/filesystem.py

pavel-kirienko/ouroboros

89365556b16069501c4bef9fd7386cb4f10f281c

[ "MIT" ]

null

ouroboros/auxiliary/filesystem.py

pavel-kirienko/ouroboros

89365556b16069501c4bef9fd7386cb4f10f281c

[ "MIT" ]

null

ouroboros/auxiliary/filesystem.py

pavel-kirienko/ouroboros

89365556b16069501c4bef9fd7386cb4f10f281c

[ "MIT" ]

null

# Copyright (C) 2020 UAVCAN Development Team <uavcan.org> # This software is distributed under the terms of the MIT License. # Author: Pavel Kirienko <pavel@uavcan.org> import os import sys import typing import pathlib AnyPath = typing.Union[str, pathlib.Path] def get_user_data_dir() -> pathlib.Path: if sys.platform.startswith('win32'): _appdata = pathlib.Path(os.getenv('LOCALAPPDATA') or os.getenv('APPDATA')) return _prepare(_appdata / 'UAVCAN' / 'Ouroboros') else: return _prepare(pathlib.Path('~/.uavcan/ouroboros').expanduser()) def get_log_dir() -> pathlib.Path: return _prepare(get_user_data_dir() / 'log') def get_version_specific_dir() -> pathlib.Path: from ouroboros import __version__ return _prepare(get_user_data_dir() / f'v{__version__}') def get_dsdl_generated_dir() -> pathlib.Path: return _prepare(get_version_specific_dir() / 'dsdl_generated') def get_package_root_dir() -> pathlib.Path: import ouroboros return pathlib.Path(ouroboros.__file__).parent def get_public_regulated_data_types_dir() -> pathlib.Path: # TODO: this currently only works when running from sources, obviously. return get_package_root_dir().parent / 'submodules' / 'public_regulated_data_types' def get_ipc_dsdl_dir() -> pathlib.Path: # TODO: this currently only works when running from sources, obviously. return get_package_root_dir().parent / 'ouroboros_ipc' def _prepare(directory: AnyPath) -> pathlib.Path: directory = pathlib.Path(directory).resolve() directory.mkdir(parents=True, exist_ok=True) return directory

29.962963

87

0.736094

212

1,618

5.320755

0.372642

0.126773

0.086879

0.037234

0.264184

0.177305

0

0.004386

0.154512

1,618

53

88

30.528302

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0

0.106269

0.020642

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0

1

0.275862

false

0

0.206897

0.137931

0.793103

0

null

0

null

0

1

0

1

0

1

0

4

453dc9de7f6d79e14fafe7507a1f2ba03ceb5c81

122

py

Python

models/MeshCNN/models/__init__.py

devskroy1/ForkedBrainSurfaceTK

774035ab5eae6c0a40eb96eab43d489d3f722eaa

[ "MIT" ]

7

2020-08-04T19:27:33.000Z

2022-01-28T18:00:21.000Z

models/MeshCNN/models/__init__.py

devskroy1/ForkedBrainSurfaceTK

774035ab5eae6c0a40eb96eab43d489d3f722eaa

[ "MIT" ]

null

models/MeshCNN/models/__init__.py

devskroy1/ForkedBrainSurfaceTK

774035ab5eae6c0a40eb96eab43d489d3f722eaa

[ "MIT" ]

3

2020-12-31T17:26:21.000Z

2021-02-11T19:24:56.000Z

def create_model(opt): from .mesh_classifier import ClassifierModel model = ClassifierModel(opt) return model

24.4

48

0.754098

14

122

6.428571

0.714286

0

0.188525

122

4

49

30.5

0.909091

0

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0.25

false

0

0.25

0

0.75

0

1

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null

0

1

0

null

0

1

0

1

0

4

453dcb0a6246a6fdddc03be96e49cc2d4db80758

188

py

Python

policykit/integrations/slack/urls.py

mashton/policyk

623523d76d63c06b6d559ad7b477d80512fbd2e7

[ "MIT" ]

78

2020-05-08T17:25:38.000Z

2022-01-13T05:44:50.000Z

policykit/integrations/slack/urls.py

mashton/policyk

623523d76d63c06b6d559ad7b477d80512fbd2e7

[ "MIT" ]

302

2020-02-20T07:04:30.000Z

2022-02-25T17:44:23.000Z

policykit/integrations/slack/urls.py

mashton/policyk

623523d76d63c06b6d559ad7b477d80512fbd2e7

[ "MIT" ]

13

2020-04-17T19:44:26.000Z

2022-02-25T17:18:04.000Z

from django.urls import path from integrations.slack import views urlpatterns = [ path('install', views.slack_install), path('disable_integration', views.disable_integration) ]

18.8

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188

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null

1

0

1

0

null

0

1

0

4

18cd65454f6e730522d7230e33bdbd628b0787ba

755

py

Python

library/models.py

karmishin/library-app

9400cb0f658e1f9e24defe2600d97c73ae83c7cb

[ "MIT" ]

null

library/models.py

karmishin/library-app

9400cb0f658e1f9e24defe2600d97c73ae83c7cb

[ "MIT" ]

null

library/models.py

karmishin/library-app

9400cb0f658e1f9e24defe2600d97c73ae83c7cb

[ "MIT" ]

null

from django.db import models class Publisher(models.Model): name = models.CharField(max_length=40) def __str__(self): return "%s" % (self.name) class Author(models.Model): first_name = models.CharField(max_length=25) last_name = models.CharField(max_length=25) def __str__(self): return "%s %s" % (self.first_name, self.last_name) class Book(models.Model): title = models.CharField(max_length=40) genre = models.CharField(max_length=25) pub_date = models.IntegerField(default=0) publisher = models.ForeignKey(Publisher, on_delete=models.CASCADE) author = models.ForeignKey(Author, on_delete=models.CASCADE) def __str__(self): return "%s" % (self.title)

27.962963

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755

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0.15528

0.186335

0.248447

0.416149

0.21118

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755

27

72

27.962963

0.79062

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null

0

1

0

null

0

1

0

4

7a0745163f7034a8aa557744082b105e6db7875c

36

py

Python

user-login.py

cpeberwein/football

9db67aaad162ed42f5a378027762fd340a92c278

[ "Apache-2.0" ]

null

user-login.py

cpeberwein/football

9db67aaad162ed42f5a378027762fd340a92c278

[ "Apache-2.0" ]

null

user-login.py

cpeberwein/football

9db67aaad162ed42f5a378027762fd340a92c278

[ "Apache-2.0" ]

null

Mein neuer Code... New line of code

12

18

0.722222

7

36

3.714286

0.857143

0

0.194444

36

2

19

18

0.896552

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

7a0a2858f03dd5f5df93b7d2e98f9262ed71bc8d

937

py

Python

src/waldur_digitalocean/filters.py

opennode/nodeconductor-digitalocean

4a0f0dc8920c3f066ee8561db54e94e363d07cad

[ "MIT" ]

1

2017-08-16T07:25:53.000Z

src/waldur_digitalocean/filters.py

opennode/nodeconductor-digitalocean

4a0f0dc8920c3f066ee8561db54e94e363d07cad

[ "MIT" ]

null

src/waldur_digitalocean/filters.py

opennode/nodeconductor-digitalocean

4a0f0dc8920c3f066ee8561db54e94e363d07cad

[ "MIT" ]

2

2017-09-24T03:10:31.000Z

2018-08-12T07:44:31.000Z

from django_filters import OrderingFilter from waldur_core.structure import filters as structure_filters from . import models class ImageFilter(structure_filters.BaseServicePropertyFilter): o = OrderingFilter(fields=('distribution', 'type')) class Meta(object): model = models.Image fields = structure_filters.BaseServicePropertyFilter.Meta.fields + ('distribution', 'type') class SizeFilter(structure_filters.BaseServicePropertyFilter): class Meta(object): model = models.Size fields = structure_filters.BaseServicePropertyFilter.Meta.fields + ('cores', 'ram', 'disk') class RegionFilter(structure_filters.BaseServicePropertyFilter): class Meta(structure_filters.BaseServicePropertyFilter.Meta): model = models.Region class DropletFilter(structure_filters.BaseResourceFilter): class Meta(structure_filters.BaseResourceFilter.Meta): model = models.Droplet

29.28125

99

0.765208

89

937

7.932584

0.348315

0.203966

0.348442

0.191218

0.364023

0.161473

0

0.149413

937

31

100

30.225806

0.885822

0

0.111111

0

0.046958

0

1

0

false

0

0.166667

0

0.666667

0

null

1

0

null

0

1

0

4

e14026671e95e6c7850769920d7608b09f2f110c

239

py

Python

qregexeditor/api/__init__.py

Giftcarder/QRegexEditor

f8f9fc66e62d77bed81bf9835f8d9769277b165c

[ "MIT" ]

6

2016-01-24T07:35:28.000Z

2021-03-18T12:26:10.000Z

qregexeditor/api/__init__.py

Giftcarder/QRegexEditor

f8f9fc66e62d77bed81bf9835f8d9769277b165c

[ "MIT" ]

1

2019-02-05T17:35:18.000Z

qregexeditor/api/__init__.py

Giftcarder/QRegexEditor

f8f9fc66e62d77bed81bf9835f8d9769277b165c

[ "MIT" ]

7

2017-12-26T03:36:55.000Z

2020-12-10T07:12:48.000Z

""" This package contains the API. You may use it to embed the regex editor inside your own PyQt application. """ from .editor import RegexEditorWidget from .quick_ref import QuickRefWidget from .match_highlighter import MatchHighlighter

26.555556

71

0.811715

33

239

5.818182

0.818182

0

0.142259

239

8

72

29.875

0.936585

0.439331

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

e14f3aea46be09927f8efcac3879a2c49c1dcd93

999

py

Python

mapel/elections/not_in_the_package/__sp.py

kaszperro/mapel

d4e6486ee97f5d5a5a737c581ba3f9f874ebcef3

[ "MIT" ]

3

2020-02-15T11:37:30.000Z

2021-02-21T11:46:10.000Z

mapel/elections/not_in_the_package/__sp.py

kaszperro/mapel

d4e6486ee97f5d5a5a737c581ba3f9f874ebcef3

[ "MIT" ]

9

2020-03-24T11:08:57.000Z

2020-03-24T11:48:04.000Z

mapel/elections/not_in_the_package/__sp.py

kaszperro/mapel

d4e6486ee97f5d5a5a737c581ba3f9f874ebcef3

[ "MIT" ]

4

2020-04-21T17:47:50.000Z

2022-03-25T16:41:04.000Z

from math import * from random import * from sys import argv from scipy.special import binom # binom = comb # size = 20 # wal = walsh(size) # for i in range(size): # for j in range(size): # print(round(wal[j][i],3), end=' ') # print() # if len(argv) < 2: # print("Invocation:") # print(" python walsh.py conitzer|simconitzer|walsh m") # exit() # # m = int(argv[2]) # if argv[1] == "conitzer": # ff = conitzer # elif argv[1] == "simconitzer": # ff = simconitzer # elif argv[1] == "walsh": # ff = walsh # else: # print("unknown distribution") # exit() # P = ff(m) # # B = [0] * m # for j in range(m): # for i in range(m): # print(str(int(PRECISION * (P[i][j]))).rjust(DIGITS), end="") # B[i] += P[i][j] * (m - j - 1) # print() # # S = 0 # for i in range(m): # print(B[i], end=" ") # S += B[i] # print() # print(S) # print(" ") # for i in range(m - 1): # print(B[i + 1] - B[i], end=" ") # print() # # exit()

17.839286

70

0.506507

150

999

3.373333

0.32

0.083004

0.047431

0.086957

0.090909

0.067194

0

0.017956

0.275275

999

56

71

17.839286

0.680939

0.811812

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

e15fdc9e24d4a7a9cf9114deb211a5208d45f6a0

122

py

Python

back/restapi/models/backup_file.py

ramonakira/piclodio3

5b0365911b8ff3c71a094a8a352c4522b74e7b7d

[ "MIT" ]

120

2017-02-10T14:30:51.000Z

2022-01-12T21:17:56.000Z

back/restapi/models/backup_file.py

ramonakira/piclodio3

5b0365911b8ff3c71a094a8a352c4522b74e7b7d

[ "MIT" ]

28

2017-03-06T09:56:20.000Z

2022-02-27T02:52:38.000Z

back/restapi/models/backup_file.py

ramonakira/piclodio3

5b0365911b8ff3c71a094a8a352c4522b74e7b7d

[ "MIT" ]

24

2017-02-13T20:38:57.000Z

2020-12-21T23:51:00.000Z

from django.db import models class BackupFile(models.Model): backup_file = models.FileField(upload_to="backup_mp3")

20.333333

58

0.778689

17

122

5.411765

0.823529

0

0.009346

0.122951

122

5

59

24.4

0.850467

0

0.081967

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e1957d06e8919dc7ecd4f81066c07726b86dd986

85

py

Python

python/15.3sum.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/15.3sum.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/15.3sum.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

class Solution: def threeSum(self, nums: List[int]) -> List[List[int]]:

21.25

59

0.588235

11

85

4.545455

0.727273

0.28

0

0.247059

85

3

60

28.333333

0.78125

0

null

0

null

0

1

0

null

1

0

1

0

null

0

1

0

4

e1b54d4dfc0727a5d177785c58caed393cb3f38a

52

py

Python

tests/__init__.py

farisachugthai/fatal_police_shootings

7c6e02184b08a39bd63b0eac14d41917056a5b90

[ "MIT" ]

null

tests/__init__.py

farisachugthai/fatal_police_shootings

7c6e02184b08a39bd63b0eac14d41917056a5b90

[ "MIT" ]

null

tests/__init__.py

farisachugthai/fatal_police_shootings

7c6e02184b08a39bd63b0eac14d41917056a5b90

[ "MIT" ]

null

"""Unit test package for fatal_police_shootings."""

26

51

0.769231

7

52

5.428571

1

0

0.096154

52

1

52

0.808511

0.865385

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

bee0c61cea7ad627e80a5f896ced5f151da8ea6b

84

py

Python

change-ethernet-card/secret.py

Haameed/VMWare_automation

8bf46fa5ba37ecc757d5e68983fdc85d96db1301

[ "MIT" ]

null

change-ethernet-card/secret.py

Haameed/VMWare_automation

8bf46fa5ba37ecc757d5e68983fdc85d96db1301

[ "MIT" ]

null

change-ethernet-card/secret.py

Haameed/VMWare_automation

8bf46fa5ba37ecc757d5e68983fdc85d96db1301

[ "MIT" ]

null

domain = 'mycompany.local' user = 'automation@vsphere.local' pwd = 'somepassword'

14

33

0.72619

9

84

6.777778

0.888889

0

0.130952

84

5

34

16.8

0.835616

0

0.621951

0.292683

0

1

0

false

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

4

833f6437914f73c1d74cd4aae3e4530cd81e19ea

3,407

py

Python

modules/dataGenerators.py

Stsh4lson/TOM-2020

f98ba045aa3905f00412e99b6d979f4de534d126

[ "MIT" ]

4

2020-05-11T14:19:18.000Z

2021-02-23T06:09:09.000Z

modules/dataGenerators.py

Stsh4lson/TOM-2020

f98ba045aa3905f00412e99b6d979f4de534d126

[ "MIT" ]

null

modules/dataGenerators.py

Stsh4lson/TOM-2020

f98ba045aa3905f00412e99b6d979f4de534d126

[ "MIT" ]

1

2021-02-23T06:09:10.000Z

from modules.preprocessing import preprocess_X, preprocess_y, scale from starter_code.utils import load_case import tensorflow as tf import time import numpy as np def trainGenerator(case_nums, batch_size): #takes data from begining of data set to while True: for case_num in case_nums: volume, segmentation = load_case(case_num) #preprocessing input X_file = preprocess_X(volume) y_file, begining_num, end_num = preprocess_y(segmentation) X_file = X_file[begining_num:end_num+1, :, :] y_file = y_file[begining_num:end_num+1, :, :] L = X_file.shape[0] batch_start = 0 batch_end = batch_size while batch_start < L: limit = min(batch_end, L) X = X_file[batch_start:limit, :, :, :] y = y_file[batch_start:limit, :, :, :] yield (tf.cast(X, dtype=tf.float16), tf.cast(y, dtype=tf.float16), [None]) batch_start += batch_size batch_end += batch_size if case_num == case_nums[-1]: break def validationGenerator(case_nums, batch_size): #takes data from begining of data set to while True: for case_num in case_nums: volume, segmentation = load_case(case_num) X_file = preprocess_X(volume) y_file, begining_num, end_num = preprocess_y(segmentation) X_file = X_file[begining_num:end_num+1, :, :] y_file = y_file[begining_num:end_num+1, :, :] L = X_file.shape[0] batch_start = 0 batch_end = batch_size print('Validation in progress: {:.2f}%'.format( ( (case_num-np.min(case_nums))/(np.max(case_nums)-np.min(case_nums)) )*100 )) while batch_start < L: limit = min(batch_end, L) X = X_file[batch_start:limit, :, :, :] y = y_file[batch_start:limit, :, :, :] #needs to yield (X, y, [None]) for some reason yield (tf.cast(X, dtype=tf.float16), tf.cast(y, dtype=tf.float16), [None]) batch_start += batch_size batch_end += batch_size if case_num == case_nums[-1]: # breaks loop so it starts again infinietly break # def validationGenerator(case_nums, batch_size): # #generates random index from given dataset (validation data is given) # while True: # random_val_index = case_nums[np.random.randint(0, len(case_nums))] # volume, segmentation = load_case(random_val_index) # #preprocessing input # X_file = preprocess_X(volume) # y_file = preprocess_y(segmentation) # L = X_file.shape[0] # batch_start = 0 # batch_end = batch_size # print('validation in progress please wait') # while batch_start < L: # limit = min(batch_end, L) # X = X_file[batch_start:limit, :, :, :] # y = y_file[batch_start:limit, :, :, :] # #needs to yield (X, y, [None]) for some reason # yield (X.astype(np.float32), y.astype(np.float32)) # batch_start += batch_size # batch_end += batch_size

41.048193

104

0.552392

423

3,407

4.196217

0.200946

0.084507

0.050704

0.060845

0.757183

0.738028

0.698028

0.677746

0.642254

0

0.013016

0.346052

3,407

83

105

41.048193

0.783662

0.319049

0

0.791667

0

0.013519

0

1

0.041667

false

0

0.104167

0

0.145833

0.020833

0

null

0

1

0

1

0

1

0

null

0

4

834aacc1ec6024df3d4dbdd2aa19eed71c25d478

873

py

Python

composer/loggers/__init__.py

jacobfulano/composer

4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8

[ "Apache-2.0" ]

2

2022-03-17T04:48:04.000Z

2022-03-20T09:06:19.000Z

composer/loggers/__init__.py

jacobfulano/composer

4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8

[ "Apache-2.0" ]

null

composer/loggers/__init__.py

jacobfulano/composer

4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8

[ "Apache-2.0" ]

null

# Copyright 2021 MosaicML. All Rights Reserved. from composer.core.logging.base_backend import BaseLoggerBackend as BaseLoggerBackend from composer.core.logging.base_backend import RankZeroLoggerBackend as RankZeroLoggerBackend from composer.core.logging.logger import Logger as Logger from composer.core.logging.logger import LogLevel as LogLevel from composer.core.logging.logger import TLogData as TLogData from composer.core.logging.logger import TLogDataValue as TLogDataValue from composer.loggers.logger_hparams import BaseLoggerBackendHparams as BaseLoggerBackendHparams from composer.loggers.logger_hparams import FileLoggerBackendHparams as FileLoggerBackendHparams from composer.loggers.logger_hparams import TQDMLoggerBackendHparams as TQDMLoggerBackendHparams from composer.loggers.logger_hparams import WandBLoggerBackendHparams as WandBLoggerBackendHparams

67.153846

98

0.888889

98

873

7.857143

0.265306

0.155844

0.124675

0.179221

0.483117

0.103896

0

0.004969

0.077892

873

12

99

72.75

0.951553

0.051546

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

8356c77f3ed6240b426faa6079ba48898b6ce591

41

py

Python

1059 - Even Numbers.py

Shah-Shishir/URI-Solutions

fde523e7eefc58e2c319ca1d83c2626e86e12e05

[ "Apache-2.0" ]

null

1059 - Even Numbers.py

Shah-Shishir/URI-Solutions

fde523e7eefc58e2c319ca1d83c2626e86e12e05

[ "Apache-2.0" ]

null

1059 - Even Numbers.py

Shah-Shishir/URI-Solutions

fde523e7eefc58e2c319ca1d83c2626e86e12e05

[ "Apache-2.0" ]

null

for i in range (2,101,2): print(i)

13.666667

26

0.536585

9

41

2.444444

0.777778

0

0.172414

0.292683

41

2

27

20.5

0.586207

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

835e8099f400befa076e28b7f84d587f0be6e335

1,044

py

Python

collide/test_event.py

GluonCollective/collisions

f65f9fd6cc950b8f22e6e4c67ff3d91e75f2ccbe

[ "MIT" ]

null

collide/test_event.py

GluonCollective/collisions

f65f9fd6cc950b8f22e6e4c67ff3d91e75f2ccbe

[ "MIT" ]

null

collide/test_event.py

GluonCollective/collisions

f65f9fd6cc950b8f22e6e4c67ff3d91e75f2ccbe

[ "MIT" ]

null

import pytest from event import Event def example_event(): particles = {'Event': [0, 0, 0, 0, 0, 0, 0], 'Id': [0, 1, 2, 3, 4, 5, 6], 'PdgCode': [0, 1, 1, 2, 2, 2, 2], 'E': [4., 2., 2., 1., 1., 1., 1.], 'Px': [0., 1., -1., 0.5, 0.5, -0.5, -0.5], 'Py': [0., -1., 1., -0.5, 0.5, -0.5, 0.5], 'Pz': [0., 0., 0., 0., 0., 0., 0.], 'Vx': [0., 0., 0., -1., -1, 1., 1.], 'Vy': [0., 0., 0., 0., 0., 0., 0.], 'Vz': [0., 0., 0., 0., 0., 0., 0.], 'Vt': [0., 0., 0., 0., 0., 0., 0.]} mothers = {'Event': [0, 0, 0, 0, 0, 0], 'Id': [1, 2, 3, 4, 5, 6], 'MotherId': [0, 0, 1, 1, 2, 2]} daughters = {'Event': [0, 0, 0, 0, 0, 0], 'Id': [0, 0, 1, 1, 2, 2], 'DaughterId': [1, 2, 3, 4, 5, 6]} return Event(particles, mothers, daughters) print(example_event().trajectories) def test_connect_vertexes(): pass

32.625

59

0.334291

164

1,044

2.103659

0.213415

0.255072

0.295652

0.301449

0.365217

0.350725

0.266667

0.168116

0.063768

0

0.191759

0.395594

1,044

31

60

33.677419

0.354992

0

0.058429

0

1

0.083333

false

0.041667

0.083333

0

0.208333

0.041667

0

null

1

0

1

0

null

0

4

55ce7c0afea3ddf25766d091b65a9a4f55fee12a

6,762

py

Python

src/vaillant_netatmo_api/thermostat_program_test.py

dominikkarall/vaillant-netatmo-api

5da215ef7b2e26eac16950db8994b1af0987975f

[ "MIT" ]

9

2021-09-17T06:23:19.000Z

2022-02-19T21:49:30.000Z

src/vaillant_netatmo_api/thermostat_program_test.py

dominikkarall/vaillant-netatmo-api

5da215ef7b2e26eac16950db8994b1af0987975f

[ "MIT" ]

18

2021-09-20T05:14:10.000Z

2022-03-16T05:18:13.000Z

src/vaillant_netatmo_api/thermostat_program_test.py

dominikkarall/vaillant-netatmo-api

5da215ef7b2e26eac16950db8994b1af0987975f

[ "MIT" ]

1

2022-02-27T09:53:24.000Z

import pytest from datetime import datetime from pytest_mock import MockerFixture from vaillant_netatmo_api.thermostat import Program @pytest.mark.parametrize( "current_time,expected_active_zone_id", [ # Monday (datetime(2021, 11, 22, 0, 0), 1), (datetime(2021, 11, 22, 0, 59), 1), (datetime(2021, 11, 22, 1, 0), 0), (datetime(2021, 11, 22, 1, 1), 0), (datetime(2021, 11, 22, 1, 59), 0), (datetime(2021, 11, 22, 2, 0), 2), (datetime(2021, 11, 22, 2, 1), 2), (datetime(2021, 11, 22, 23, 59), 2), # Tuesday (datetime(2021, 11, 23, 0, 0), 1), (datetime(2021, 11, 23, 0, 59), 1), (datetime(2021, 11, 23, 1, 0), 0), (datetime(2021, 11, 23, 1, 1), 0), (datetime(2021, 11, 23, 1, 59), 0), (datetime(2021, 11, 23, 2, 0), 2), (datetime(2021, 11, 23, 2, 1), 2), (datetime(2021, 11, 23, 23, 59), 2), # Wednesday (datetime(2021, 11, 24, 0, 0), 1), (datetime(2021, 11, 24, 0, 59), 1), (datetime(2021, 11, 24, 1, 0), 0), (datetime(2021, 11, 24, 1, 1), 0), (datetime(2021, 11, 24, 1, 59), 0), (datetime(2021, 11, 24, 2, 0), 2), (datetime(2021, 11, 24, 2, 1), 2), (datetime(2021, 11, 24, 23, 59), 2), # Thursday (datetime(2021, 11, 25, 0, 0), 1), (datetime(2021, 11, 25, 0, 59), 1), (datetime(2021, 11, 25, 1, 0), 0), (datetime(2021, 11, 25, 1, 1), 0), (datetime(2021, 11, 25, 1, 59), 0), (datetime(2021, 11, 25, 2, 0), 2), (datetime(2021, 11, 25, 2, 1), 2), (datetime(2021, 11, 25, 23, 59), 2), # Friday (datetime(2021, 11, 26, 0, 0), 1), (datetime(2021, 11, 26, 0, 59), 1), (datetime(2021, 11, 26, 1, 0), 0), (datetime(2021, 11, 26, 1, 1), 0), (datetime(2021, 11, 26, 1, 59), 0), (datetime(2021, 11, 26, 2, 0), 2), (datetime(2021, 11, 26, 2, 1), 2), (datetime(2021, 11, 26, 23, 59), 2), # Saturday (datetime(2021, 11, 27, 0, 0), 1), (datetime(2021, 11, 27, 0, 59), 1), (datetime(2021, 11, 27, 1, 0), 0), (datetime(2021, 11, 27, 1, 1), 0), (datetime(2021, 11, 27, 1, 59), 0), (datetime(2021, 11, 27, 2, 0), 2), (datetime(2021, 11, 27, 2, 1), 2), (datetime(2021, 11, 27, 23, 59), 2), # Sunday (datetime(2021, 11, 28, 0, 0), 1), (datetime(2021, 11, 28, 0, 59), 1), (datetime(2021, 11, 28, 1, 0), 0), (datetime(2021, 11, 28, 1, 1), 0), (datetime(2021, 11, 28, 1, 59), 0), (datetime(2021, 11, 28, 2, 0), 2), (datetime(2021, 11, 28, 2, 1), 2), (datetime(2021, 11, 28, 23, 59), 2), # Monday (datetime(2021, 11, 29, 0, 0), 1), (datetime(2021, 11, 29, 0, 59), 1), (datetime(2021, 11, 29, 1, 0), 0), (datetime(2021, 11, 29, 1, 1), 0), (datetime(2021, 11, 29, 1, 59), 0), (datetime(2021, 11, 29, 2, 0), 2), (datetime(2021, 11, 29, 2, 1), 2), (datetime(2021, 11, 29, 23, 59), 2), ] ) @pytest.mark.asyncio class TestProgramForZones: async def test_get_active_zone__timetable_with_three_slots_per_day__returns_correct_index_around_bounderies(self, current_time: datetime, expected_active_zone_id: int, mocker: MockerFixture): mocker.patch("vaillant_netatmo_api.thermostat.now", return_value=current_time) program = Program( zones=[ {"id": 0}, {"id": 1}, {"id": 2}, ], timetable=[ {"id": 1, "m_offset": 0}, {"id": 0, "m_offset": 60}, {"id": 2, "m_offset": 120}, {"id": 1, "m_offset": 1440}, {"id": 0, "m_offset": 1500}, {"id": 2, "m_offset": 1560}, {"id": 1, "m_offset": 2880}, {"id": 0, "m_offset": 2940}, {"id": 2, "m_offset": 3000}, {"id": 1, "m_offset": 4320}, {"id": 0, "m_offset": 4380}, {"id": 2, "m_offset": 4440}, {"id": 1, "m_offset": 5760}, {"id": 0, "m_offset": 5820}, {"id": 2, "m_offset": 5880}, {"id": 1, "m_offset": 7200}, {"id": 0, "m_offset": 7260}, {"id": 2, "m_offset": 7320}, {"id": 1, "m_offset": 8640}, {"id": 0, "m_offset": 8700}, {"id": 2, "m_offset": 8760}, ], ) active_zone = program.get_active_zone() assert active_zone.id == expected_active_zone_id @pytest.mark.asyncio class TestProgramForTimeslots: async def test_get_timeslots_for_today__timetable_with_alternating_zones__returns_monday_without_padding(self, mocker: MockerFixture): monday = datetime(2021, 11, 22, 1, 0) mocker.patch("vaillant_netatmo_api.thermostat.now", return_value=monday) program = Program( timetable=[ {"id": 2, "m_offset": 0}, {"id": 0, "m_offset": 60}, {"id": 1, "m_offset": 120}, {"id": 0, "m_offset": 1500}, {"id": 2, "m_offset": 1560}, {"id": 0, "m_offset": 2940}, {"id": 1, "m_offset": 3000}, ], ) time_slots = program.get_timeslots_for_today() assert len(time_slots) == 3 assert time_slots[0].id == 2 assert time_slots[0].m_offset == 0 assert time_slots[1].id == 0 assert time_slots[1].m_offset == 60 assert time_slots[2].id == 1 assert time_slots[2].m_offset == 120 async def test_get_timeslots_for_today__timetable_with_alternating_zones__returns_other_days_with_padding(self, mocker: MockerFixture): tuesday = datetime(2021, 11, 23, 1, 0) mocker.patch("vaillant_netatmo_api.thermostat.now", return_value=tuesday) program = Program( timetable=[ {"id": 2, "m_offset": 0}, {"id": 0, "m_offset": 60}, {"id": 1, "m_offset": 120}, {"id": 0, "m_offset": 1500}, {"id": 2, "m_offset": 1560}, {"id": 0, "m_offset": 2940}, {"id": 1, "m_offset": 3000}, ], ) time_slots = program.get_timeslots_for_today() assert len(time_slots) == 3 assert time_slots[0].id == 1 assert time_slots[0].m_offset == 1440 assert time_slots[1].id == 0 assert time_slots[1].m_offset == 1500 assert time_slots[2].id == 2 assert time_slots[2].m_offset == 1560

37.359116

195

0.488761

910

6,762

3.482418

0.10989

0.249921

0.291575

0.113601

0.70243

0.616914

0.255917

0.23225

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0.333185

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180

196

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null

1

0

1

0

1

0

null

0

4

55f0d82a32c45c2027cb9097e5fa964dd41c40f2

213

py

Python

backend/storymanager/storymanager/urls.py

aliiae/foldoverstories

6cb22e1c793f22f7904aee221ac27b7eaf3b68bb

[ "MIT" ]

1

2019-11-01T16:59:56.000Z

backend/storymanager/storymanager/urls.py

aliiae/foldoverstories

6cb22e1c793f22f7904aee221ac27b7eaf3b68bb

[ "MIT" ]

null

backend/storymanager/storymanager/urls.py

aliiae/foldoverstories

6cb22e1c793f22f7904aee221ac27b7eaf3b68bb

[ "MIT" ]

null

from django.urls import path, include urlpatterns = [ path('', include('websockets.urls')), path('', include('texts.urls')), path('', include('rooms.urls')), path('', include('accounts.urls')), ]

23.666667

41

0.610329

23

213

5.652174

0.478261

0.423077

0.346154

0

0.159624

213

8

42

26.625

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0.225352

0

1

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false

0

0.142857

0

0.142857

0

1

0

null

1

0

1

0

null

0

4

55f959ad4c8b3f35252860353bbff60fdd131f8b

403

py

Python

aliyun/api/rest/Ecs20140526ModifyInstanceVncPasswdRequest.py

snowyxx/aliyun-python-demo

ed40887ddff440b85b77f9b2a1fcda11cca55c8b

[ "Apache-2.0" ]

null

aliyun/api/rest/Ecs20140526ModifyInstanceVncPasswdRequest.py

snowyxx/aliyun-python-demo

ed40887ddff440b85b77f9b2a1fcda11cca55c8b

[ "Apache-2.0" ]

null

aliyun/api/rest/Ecs20140526ModifyInstanceVncPasswdRequest.py

snowyxx/aliyun-python-demo

ed40887ddff440b85b77f9b2a1fcda11cca55c8b

[ "Apache-2.0" ]

null

''' Created by auto_sdk on 2015.03.24 ''' from aliyun.api.base import RestApi class Ecs20140526ModifyInstanceVncPasswdRequest(RestApi): def __init__(self,domain='ecs.aliyuncs.com',port=80): RestApi.__init__(self,domain, port) self.InstanceId = None self.RegionId = None self.VncPassword = None def getapiname(self): return 'ecs.aliyuncs.com.ModifyInstanceVncPasswd.2014-05-26'

28.785714

63

0.746898

51

403

5.72549

0.686275

0.054795

0.09589

0

0.074928

0.138958

403

13

64

31

0.766571

0.081886

0

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0.222222

false

0.333333

0.111111

0.555556

0

null

0

null

0

1

0

1

0

1

0

4

55fcb01400db1ee2233532c4352aaed8b3ee603b

2,941

py

Python

tests/test_parser_helpers.py

k8iechen/vcfpy

89f7097cb5bc7bfec198d8c02fe031b44786b14b

[ "MIT" ]

48

2016-09-25T16:07:53.000Z

2022-01-19T17:44:46.000Z

tests/test_parser_helpers.py

k8iechen/vcfpy

89f7097cb5bc7bfec198d8c02fe031b44786b14b

[ "MIT" ]

83

2016-09-16T12:20:02.000Z

2021-05-12T09:12:10.000Z

tests/test_parser_helpers.py

k8iechen/vcfpy

89f7097cb5bc7bfec198d8c02fe031b44786b14b

[ "MIT" ]

9

2016-10-04T15:10:06.000Z

2022-02-08T21:10:51.000Z

# -*- coding: utf-8 -*- """Test for the helper routines in the vcfpy.parser module""" import pytest from vcfpy import parser __author__ = "Manuel Holtgrewe <manuel.holtgrewe@bihealth.de>" # parser.split_quoted_string() ------------------------------------------------ def test_split_quoted_string_one_noquote(): INPUT = "foo=bar" EXPECTED = ["foo=bar"] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_two_noquote(): INPUT = "foo=bar,bar=baz" EXPECTED = ["foo=bar", "bar=baz"] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_one_quote(): INPUT = 'foo="bar,,"asdf' EXPECTED = ['foo="bar,,"asdf'] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_two_quote(): INPUT = 'foo="bar,,"asdf,"bar"=baz' EXPECTED = ['foo="bar,,"asdf', '"bar"=baz'] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_one_escape(): INPUT = 'foo="bar\\"asdf\\"asdf"' EXPECTED = ['foo="bar\\"asdf\\"asdf"'] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_two_escape(): INPUT = 'foo="bar\\",,asdf","bar"=baz' EXPECTED = ['foo="bar\\",,asdf"', '"bar"=baz'] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_array_syntax_simple(): INPUT = "foo=[1, 2, 3],bar=[baz, gnaa]" EXPECTED = ["foo=[1, 2, 3]", "bar=[baz, gnaa]"] assert EXPECTED == parser.split_quoted_string(INPUT) def test_split_quoted_string_array_syntax_recursion(): """Support for only one level, failure is OK here""" INPUT = "foo=[1, 2, 3],bar=[baz, [], gnaa]" EXPECTED = ["foo=[1, 2, 3]", "bar=[baz, []", " gnaa]"] assert EXPECTED == parser.split_quoted_string(INPUT) # parser.VCFheaderLineParser.parse_mapping() ---------------------------------- def test_vcf_header_line_parser_parse_mapping_simple(): INPUT = r"<key=value,key2=value2>" EXPECTED = (("key", "value"), ("key2", "value2")) assert EXPECTED == tuple(parser.parse_mapping(INPUT).items()) def test_vcf_header_line_parser_parse_mapping_flag(): INPUT = r"<key=value,key2=value,yay>" EXPECTED = (("key", "value"), ("key2", "value"), ("yay", True)) parser.MappingHeaderLineParser(None) assert EXPECTED == tuple(parser.parse_mapping(INPUT).items()) def test_vcf_header_line_parser_parse_mapping_quoted(): INPUT = r'<key=value,key2="value,value">' EXPECTED = (("key", "value"), ("key2", "value,value")) parser.MappingHeaderLineParser(None) assert EXPECTED == tuple(parser.parse_mapping(INPUT).items()) def test_vcf_header_line_parser_parse_mapping_escaped(): INPUT = r'<key=value,key2="value,value=\"asdf">' EXPECTED = (("key", "value"), ("key2", 'value,value="asdf')) parser.MappingHeaderLineParser(None) assert EXPECTED == tuple(parser.parse_mapping(INPUT).items())

32.318681

79

0.66576

377

2,941

4.93634

0.185676

0.100484

0.155293

0.111231

0.808705

0.724342

0.660935

0.630844

0.610425

0

0.009095

0.140088

2,941

90

80

32.677778

0.726769

0.095546

0

0.277778

0

0.225538

0.092558

0

0.222222

1

0.222222

false

0

0.037037

0

0.259259

0

null

0

1

0

1

0

null

0

1

0

4

3604768564daf647df02fe4b7af293dbfe37443c

93

py

Python

site/projectLms/Faculdade/apps.py

GuiGusmao/LMSProjeto

2c1ffc302068c7d97a79a847b47640e0a6e3dde4

[ "Apache-2.0" ]

null

site/projectLms/Faculdade/apps.py

GuiGusmao/LMSProjeto

2c1ffc302068c7d97a79a847b47640e0a6e3dde4

[ "Apache-2.0" ]

null

site/projectLms/Faculdade/apps.py

GuiGusmao/LMSProjeto

2c1ffc302068c7d97a79a847b47640e0a6e3dde4

[ "Apache-2.0" ]

null

from django.apps import AppConfig class FaculdadeConfig(AppConfig): name = 'Faculdade'

15.5

33

0.763441

10

93

7.1

0.9

0

0.16129

93

5

34

18.6

0.910256

0

0.096774

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3606c96817ab3940a601735042682cb8f757c34d

315

py

Python

google/__init__.py

shrijaltamrakar/Descent_py

82cd89ebeca37d079fc5d072010d3a3120420b2a

[ "MIT" ]

2

2018-11-17T10:03:25.000Z

2019-01-24T08:40:10.000Z

google/__init__.py

shrijaltamrakar/Descent_py

82cd89ebeca37d079fc5d072010d3a3120420b2a

[ "MIT" ]

1

2021-06-02T00:16:58.000Z

google/__init__.py

shrijaltamrakar/Descent_py

82cd89ebeca37d079fc5d072010d3a3120420b2a

[ "MIT" ]

1

2019-10-25T06:46:10.000Z

""" _ __ _ ___ ___ __ _| | ___ / _` |/ _ \ / _ \ / _` | |/ _ \ | (_| | (_) | (_) | (_| | | __/ \__, |\___/ \___/ \__, |_|\___| |___/ |___/ Author: Aaditya Chapagain version: 1.0.1 description: scripts which will make google API's easy in python. """

22.5

65

0.419048

18

315

4.722222

0.944444

0

0.015625

0.390476

315

14

66

22.5

0.427083

0.885714

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

361b22233d3eb9aef769558b987ef402ff94e67b

145

py

Python

starter_code/api_keys.py

dsc55704973/python-api-challenge

7a2719ee01bdcc3022910d86db87830076f947cb

[ "ADSL" ]

null

starter_code/api_keys.py

dsc55704973/python-api-challenge

7a2719ee01bdcc3022910d86db87830076f947cb

[ "ADSL" ]

null

starter_code/api_keys.py

dsc55704973/python-api-challenge

7a2719ee01bdcc3022910d86db87830076f947cb

[ "ADSL" ]

null

# OpenWeatherMap API Key weather_api_key = "ea45174aae3e4fc5de1af5d14f74cd81" # Google API Key g_key = "AIzaSyCiyVKYg3FYX0fAR2S2RGR1m-kUN947W9s"

29

52

0.841379

14

145

8.5

0.642857

0.151261

0

0.19084

0.096552

145

5

53

29

0.717557

0.255172

0

0.669811

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

363d5ed1f828d3f2fa60a8073d143216650e8354

98

py

Python

armine/__init__.py

pri22296/arm

33014a4d4bbd849e246675897d6c4a6d86d66328

[ "MIT" ]

7

2017-05-02T10:13:01.000Z

2020-12-07T02:24:02.000Z

armine/__init__.py

pri22296/arm

33014a4d4bbd849e246675897d6c4a6d86d66328

[ "MIT" ]

3

2017-05-12T10:13:18.000Z

2017-05-25T11:46:57.000Z

armine/__init__.py

pri22296/arm

33014a4d4bbd849e246675897d6c4a6d86d66328

[ "MIT" ]

3

2017-10-03T07:19:12.000Z

2020-05-07T18:31:38.000Z

from .armine import ARM from .classifier import ARMClassifier __all__ = ['ARM', 'ARMClassifier']

19.6

37

0.765306

11

98

6.454545

0.636364

0

0.132653

98

4

38

24.5

0.835294

0

0.163265

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

363e4ac9b3dde9ea41351cf75903bc21c1584732

29

py

Python

atcoder/corp/codefes2014f_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/corp/codefes2014f_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/corp/codefes2014f_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

s = int(input()) print(50/s)

9.666667

16

0.586207

6

29

2.833333

0.833333

0

0.08

0.137931

29

2

17

14.5

0.6

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

3649cd234fc1ebf8ac99dfa30e859e123a6b81bc

992

py

Python

ex007-Tabuada.py

GuSilva20/Primeiros-Codigos

67deefb683b40c2c4fee1bb383730588635e9d85

[ "MIT" ]

null

ex007-Tabuada.py

GuSilva20/Primeiros-Codigos

67deefb683b40c2c4fee1bb383730588635e9d85

[ "MIT" ]

null

ex007-Tabuada.py

GuSilva20/Primeiros-Codigos

67deefb683b40c2c4fee1bb383730588635e9d85

[ "MIT" ]

null

t=int(input('Tabuada do : ')) r1 = t * 1 r2 = t * 2 r3 = t * 3 r4 = t * 4 r5 = t * 5 r6 = t * 6 r7 = t * 7 r8 = t * 8 r9 = t * 9 r10 = t * 10 print("RESUlTADO\n------------------------") print('{} x 1 = {}'.format(t,r1)) print('{} x 2 = {}'.format(t,r2)) print('{} x 3 = {}'.format(t,r3)) print('{} x 4 = {}'.format(t,r4)) print('{} x 5 = {}'.format(t,r5)) print('{} x 6 = {}'.format(t,r6)) print('{} x 7 = {}'.format(t,r7)) print('{} x 8 = {}'.format(t,r8)) print('{} x 9 = {}'.format(t,r9)) print('{} x 10 = {}'.format(t,r10)) #Gabarito print("-"*20) print('{} x {:2} = {}'.format(t, 1, t*1)) print('{} x {:2} = {}'.format(t, 2, t*2)) print('{} x {:2} = {}'.format(t, 3, t*3)) print('{} x {:2} = {}'.format(t, 4, t*4)) print('{} x {:2} = {}'.format(t, 5, t*5)) print('{} x {:2} = {}'.format(t, 6, t*6)) print('{} x {:2} = {}'.format(t, 7, t*7)) print('{} x {:2} = {}'.format(t, 8, t*8)) print('{} x {:2} = {}'.format(t, 9, t*9)) print('{} x {:2} = {}'.format(t, 10, t*10)) print("-"*20)

25.435897

44

0.434476

183

992

2.355191

0.174863

0.278422

0.178654

0.331787

0.357309

0

0.098644

0.18246

992

39

45

25.435897

0.432799

0.008065

0

0.058824

0

0.305894

0.035569

0

1

0

false

0

0.676471

0

null

1

0

1

0

1

0

null

0

1

0

4

365b68b64bbc7b13d4b0b966065f32f44c7c1cd3

4,698

py

Python

google_api_v3_helper/google_api_helper.py

sbi-rviot/google_api_helper

3435f3d24fcd293f38d36eea2218d91ca383d1d6

[ "MIT" ]

2

2020-05-18T19:05:56.000Z

2020-09-24T16:24:04.000Z

google_api_v3_helper/google_api_helper.py

sbi-rviot/google_api_helper

3435f3d24fcd293f38d36eea2218d91ca383d1d6

[ "MIT" ]

null

google_api_v3_helper/google_api_helper.py

sbi-rviot/google_api_helper

3435f3d24fcd293f38d36eea2218d91ca383d1d6

[ "MIT" ]

null

def get_google_folder_id(service, folder_name): """Get folder id of a folder in Google Drive Arguments: service: in order to use any of this library, the user needs to first build the service class using google ServiceAccountCredentials. see https://pypi.org/project/google-api-v3-helper/ or https://github.com/sbi-rviot/google_api_helper for a full example. folder_name: name of the folder you wish to get the ID of. """ page_token = None while True: children = service.files().list(q="mimeType='application/vnd.google-apps.folder'", spaces='drive',fields='nextPageToken, files(id, name)').execute() for i in children['files']: if i['name'] == folder_name: folder_id = i['id'] break page_token = children.get('nextPageToken', None) if page_token is None: break return folder_id def get_google_folders_in_folder(service, folder_id): """Get a list of folders in a folder in Google Drive Arguments: service: in order to use any of this library, the user needs to first build the service class using google ServiceAccountCredentials. see https://pypi.org/project/google-api-v3-helper/ or https://github.com/sbi-rviot/google_api_helper for a full example. folder_id: id of the folder you wish to get the folders list of. """ files_list = [] page_token = None while True: children = service.files().list(q="mimeType='application/vnd.google-apps.folder' and parents='"+folder_id+"' and trashed=false", spaces='drive', fields='nextPageToken, files(id, name)').execute() for file in children.get('files', []): files_list.append({'name':file.get('name'), 'id':file.get('id')}) page_token = children.get('nextPageToken', None) if page_token is None: break return files_list def get_google_files_in_folder(service, folder_id): """Get a list of files and folders in a folder in Google Drive Arguments: service: in order to use any of this library, the user needs to first build the service class using google ServiceAccountCredentials. see https://pypi.org/project/google-api-v3-helper/ or https://github.com/sbi-rviot/google_api_helper for a full example. folder_id: id of the folder you wish to get the folders list of. """ files_list = [] page_token = None while True: children = service.files().list(q="parents='"+folder_id+"' and trashed=false", spaces='drive', fields='nextPageToken, files(id, name)').execute() for file in children.get('files', []): files_list.append({'name':file.get('name'), 'id':file.get('id')}) page_token = children.get('nextPageToken', None) if page_token is None: break return files_list def uplaod_google_file(service, MediaFileUpload, parent_id, file_name): """Upload a file in a folder in Google Drive Arguments: service: in order to use any of this library, the user needs to first build the service class using google ServiceAccountCredentials. see https://pypi.org/project/google-api-v3-helper/ or https://github.com/sbi-rviot/google_api_helper for a full example. MediaFileUpload: function of oauth2client.service_account. see www.pypi.com for a full example. parent_id: id of the folder you wish to get the folders list of. file_name: local path to the file. If the file is in the same folder as your script, then you should only enter here the name of your file. """ file_metadata = { 'parents' : [parent_id], 'name': file_name} media = MediaFileUpload(file_name) file = service.files().create(body=file_metadata, media_body=media, fields='id').execute() return parent_id def find_google_fileid_tree(service, fileId): """Find the folder tree of a file Arguments: service: in order to use any of this library, the user needs to first build the service class using google ServiceAccountCredentials. see https://pypi.org/project/google-api-v3-helper/ or https://github.com/sbi-rviot/google_api_helper for a full example. fileId: id of the file you wish to get the tree for. """ file = service.files().get(fileId=fileId, fields='id, name, parents').execute() tree = [] parent = file.get('parents') if parent: while True: folder = service.files().get( fileId=parent[0], fields='id, name, parents').execute() parent = folder.get('parents') if parent is None: break tree.append({'id': parent[0], 'name': folder.get('name')}) return tree

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null

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null

0

4

3668a65610e7b0d4aef8a4067f36bfe8d40089a6

949

py

Python

nanoscope/error.py

nnewman/nanoscope

d523edb60a11f773b0355a005ee9888316e0b92e

[ "MIT" ]

9

2016-03-10T11:18:23.000Z

2021-08-28T04:33:58.000Z

nanoscope/error.py

nnewman/nanoscope

d523edb60a11f773b0355a005ee9888316e0b92e

[ "MIT" ]

8

2015-02-12T05:06:13.000Z

2022-03-09T09:02:00.000Z

nanoscope/error.py

nnewman/nanoscope

d523edb60a11f773b0355a005ee9888316e0b92e

[ "MIT" ]

3

2016-03-10T11:20:16.000Z

2021-08-28T04:34:05.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals class Error(Exception): """Base exception for nanoscope errors.""" pass class UnsupportedVersion(Error): """Error for unsupported SPM file version.""" def __init__(self, version): self.version = version def __str__(self): return 'Unsupported file version {}'.format(self.version) class MissingImageData(Error): """Error for missing data for defined image in header.""" def __init__(self, image): self.image = image def __str__(self): return ('Image type {} found in header ' 'but is missing data'.format(self.image)) class InvalidParameter(Error): """Error for incorrectly formatted Ciao parameter.""" def __init__(self, parameter): self.parameter = parameter def __str__(self): return '"{}" is not a valid Ciao parameter'.format(self.parameter)

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null

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1

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1

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4

36bb07fd94c8a6f9ca9fea7acb8b71770d7cf35b

1,778

py

Python

test_autofit/unit/aggregator/test_numerical_filtering.py

arfon/PyAutoFit

5926b13eefd97e089ee468cbec33452766edbd22

[ "MIT" ]

1

2021-01-18T23:20:31.000Z

test_autofit/unit/aggregator/test_numerical_filtering.py

arfon/PyAutoFit

5926b13eefd97e089ee468cbec33452766edbd22

[ "MIT" ]

null

test_autofit/unit/aggregator/test_numerical_filtering.py

arfon/PyAutoFit

5926b13eefd97e089ee468cbec33452766edbd22

[ "MIT" ]

null

import pytest @pytest.fixture(name="ages_for_predicate") def make_ages_for_predicate(path_aggregator): def ages_for_predicate(predicate): result = path_aggregator.filter(predicate) return [child.age for child in result.values("child")] return ages_for_predicate class TestNumericalFiltering: def test_equality(self, path_aggregator): predicate = path_aggregator.child.age == 17 result = path_aggregator.filter(predicate) assert len(result) == 1 assert list(result.values("child"))[0].age == 17 def test_greater_than(self, ages_for_predicate, path_aggregator): ages = ages_for_predicate(path_aggregator.child.age > 10) assert ages == [17] def test_greater_than_equal(self, ages_for_predicate, path_aggregator): ages = ages_for_predicate(path_aggregator.child.age >= 10) assert set(ages) == {10, 17} def test_less_than(self, ages_for_predicate, path_aggregator): ages = ages_for_predicate(path_aggregator.child.age < 11) assert ages == [10] def test_greater_than_rhs(self, ages_for_predicate, path_aggregator): ages = ages_for_predicate(10 < path_aggregator.child.age) assert ages == [17] def test_less_than_rhs(self, ages_for_predicate, path_aggregator): ages = ages_for_predicate(11 > path_aggregator.child.age) assert ages == [10] def test_aggregator_to_aggregator(self, path_aggregator): predicate = path_aggregator.child.age == path_aggregator.child.age assert len(path_aggregator.filter(predicate)) == 2 predicate = path_aggregator.child.age > path_aggregator.child.age assert len(path_aggregator.filter(predicate)) == 0

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1,778

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null

1

0

null

0

1

0

4

7ff48baa70c160c1bc92e1739426b99206a3204e

21

py

Python

lib/python2.7/site-packages/setuptools/version.py

vipulkanade/EventbriteDjango

075036563db1fe41fa7c5a541eda3999be328be0

[ "MIT" ]

null

lib/python2.7/site-packages/setuptools/version.py

vipulkanade/EventbriteDjango

075036563db1fe41fa7c5a541eda3999be328be0

[ "MIT" ]

1

2016-02-29T01:35:27.000Z

lib/python2.7/site-packages/setuptools/version.py

vipulkanade/EventbriteDjango

075036563db1fe41fa7c5a541eda3999be328be0

[ "MIT" ]

null

__version__ = '19.4'

10.5

20

0.666667

3

21

3.333333

1

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0.166667

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21

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0

null

0

1

0

1

0

null

0

4

3d1288ee855afb4ebad41b2d68945ea92ee79974

3,177

py

Python

Python/problem0372.py

1050669722/LeetCode-Answers

c8f4d1ccaac09cda63b60d75144335347b06dc81

[ "MIT" ]

null

Python/problem0372.py

1050669722/LeetCode-Answers

c8f4d1ccaac09cda63b60d75144335347b06dc81

[ "MIT" ]

null

Python/problem0372.py

1050669722/LeetCode-Answers

c8f4d1ccaac09cda63b60d75144335347b06dc81

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Jun 21 10:17:27 2019 @author: Administrator """ #class Solution: # def superPow(self, a: int, b: list) -> int: # B = 0 # b.reverse() # for k in range(len(b)): # B += b[k] * 10 ** k # # A = a**B#self.pow(a, B)# # ## while A >= 1337: ## A -= 1337 ## return A ## return A - (A//1337) * 1337 # return A % 1337 # # def pow(self, p, q): # if q == 0: # return 1 # if q == 1: # return p # if q % 2 == 0: # tmp = self.pow(p, q//2) # return tmp**2 # else: # tmp = self.pow(p, q//2) # return tmp**2 * p class Solution: def superPow(self, a: int, b: list) -> int: sum = 0 for i in b: sum = sum * 10 + i return pow(a, sum, 1337) solu = Solution() a, b = 2, [3] a, b = 2, [1,0] #a, b = 2, [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] a, b = 78267, [1,7,7,4,3,1,7,0,1,4,4,9,2,8,5,0,0,9,3,1,2,5,9,6,0,9,9,0,9,6,0,5,3,7,9,8,8,9,8,2,5,4,1,9,3,8,0,5,9,5,6,1,1,8,9,3,7,8,5,8,5,5,3,0,4,3,1,5,4,1,7,9,6,8,8,9,8,0,6,7,8,3,1,1,1,0,6,8,1,1,6,6,9,1,8,5,6,9,0,0,1,7,1,7,7,2,8,5,4,4,5,2,9,6,5,0,8,1,0,9,5,8,7,6,0,6,1,8,7,2,9,8,1,0,7,9,4,7,6,9,2,3,1,3,9,9,6,8,0,8,9,7,7,7,3,9,5,5,7,4,9,8,3,0,1,2,1,5,0,8,4,4,3,8,9,3,7,5,3,9,4,4,9,3,3,2,4,8,9,3,3,8,2,8,1,3,2,2,8,4,2,5,0,6,3,0,9,0,5,4,1,1,8,0,4,2,5,8,2,4,2,7,5,4,7,6,9,0,8,9,6,1,4,7,7,9,7,8,1,4,4,3,6,4,5,2,6,0,1,1,5,3,8,0,9,8,8,0,0,6,1,6,9,6,5,8,7,4,8,9,9,2,4,7,7,9,9,5,2,2,6,9,7,7,9,8,5,9,8,5,5,0,3,5,8,9,5,7,3,4,6,4,6,2,3,5,2,3,1,4,5,9,3,3,6,4,1,3,3,2,0,0,4,4,7,2,3,3,9,8,7,8,5,5,0,8,3,4,1,4,0,9,5,5,4,4,9,7,7,4,1,8,7,5,2,4,9,7,9,1,7,8,9,2,4,1,1,7,6,4,3,6,5,0,2,1,4,3,9,2,0,0,2,9,8,4,5,7,3,5,8,2,3,9,5,9,1,8,8,9,2,3,7,0,4,1,1,8,7,0,2,7,3,4,6,1,0,3,8,5,8,9,8,4,8,3,5,1,1,4,2,5,9,0,5,3,1,7,4,8,9,6,7,2,3,5,5,3,9,6,9,9,5,7,3,5,2,9,9,5,5,1,0,6,3,8,0,5,5,6,5,6,4,5,1,7,0,6,3,9,4,4,9,1,3,4,7,7,5,8,2,0,9,2,7,3,0,9,0,7,7,7,4,1,2,5,1,3,3,6,4,8,2,5,9,5,0,8,2,5,6,4,8,8,8,7,3,1,8,5,0,5,2,4,8,5,1,1,0,7,9,6,5,1,2,6,6,4,7,0,9,5,6,9,3,7,8,8,8,6,5,8,3,8,5,4,5,8,5,7,5,7,3,2,8,7,1,7,1,8,7,3,3,6,2,9,3,3,9,3,1,5,1,5,5,8,1,2,7,8,9,2,5,4,5,4,2,6,1,3,6,0,6,9,6,1,0,1,4,0,4,5,5,8,2,2,6,3,4,3,4,3,8,9,7,5,5,9,1,8,5,9,9,1,8,7,2,1,1,8,1,5,6,8,5,8,0,2,4,4,7,8,9,5,9,8,0,5,0,3,5,5,2,6,8,3,4,1,4,7,1,7,2,7,5,8,8,7,2,2,3,9,2,2,7,3,2,9,0,2,3,6,9,7,2,8,0,8,1,6,5,2,3,0,2,0,0,0,9,2,2,2,3,6,6,0,9,1,0,0,3,5,8,3,2,0,3,5,1,4,1,6,8,7,6,0,9,8,0,1,0,4,5,6,0,2,8,2,5,0,2,8,5,2,3,0,2,6,7,3,0,0,2,1,9,0,1,9,9,2,0,1,6,7,7,9,9,6,1,4,8,5,5,6,7,0,6,1,7,3,5,9,3,9,0,5,9,2,4,8,6,6,2,2,3,9,3,5,7,4,1,6,9,8,2,6,9,0,0,8,5,7,7,0,6,0,5,7,4,9,6,0,7,8,4,3,9,8,8,7,4,1,5,6,0,9,4,1,9,4,9,4,1,8,6,7,8,2,5,2,3,3,4,3,3,1,6,4,1,6,1,5,7,8,1,9,7,6,0,8,0,1,4,4,0,1,1,8,3,8,3,8,3,9,1,6,0,7,1,3,3,4,9,3,5,2,4,2,0,7,3,3,8,7,7,8,8,0,9,3,1,2,2,4,3,3,3,6,1,6,9,6,2,0,1,7,5,6,2,5,3,5,0,3,2,7,2,3,0,3,6,1,7,8,7,0,4,0,6,7,6,6,3,9,8,5,8,3,3,0,9,6,7,1,9,2,1,3,5,1,6,3,4,3,4,1,6,8,4,2,5] print(solu.superPow(a, b)) #print(solu.pow(2,10)) #for k in range(10000): # k = [int(x) for x in str(k)] # print(solu.superPow(2, k))

59.943396

2,017

0.468052

1,187

3,177

1.252738

0.046335

0.03228

0.028245

0.03228

0.141224

0.094822

0.063887

0

0.401993

0.147309

3,177

53

2,018

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0

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1

0

1

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null

0

4

3d31da819ff725d5f4bd06da90bb30b235798e63

331

py

Python

deephyper/nas/run/quick.py

Z223I/deephyper

4fd1054dc22f15197567bdd93c6e7a95a614b8e2

[ "BSD-3-Clause" ]

1

2021-09-03T18:24:31.000Z

deephyper/nas/run/quick.py

Z223I/deephyper

4fd1054dc22f15197567bdd93c6e7a95a614b8e2

[ "BSD-3-Clause" ]

null

deephyper/nas/run/quick.py

Z223I/deephyper

4fd1054dc22f15197567bdd93c6e7a95a614b8e2

[ "BSD-3-Clause" ]

1

2021-08-31T13:47:27.000Z

"""The :func:`deephyper.nas.run.quick.run` function is a function used to check the good behaviour of a neural architecture search algorithm. It will simply return the sum of the scalar values encoding a neural architecture in the ``config["arch_seq"]`` key. """ def run(config: dict) -> float: return sum(config['arch_seq'])

55.166667

258

0.743202

53

331

4.603774

0.660377

0.057377

0.155738

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0.148036

331

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66.2

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0.770393

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null

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0

null

0

1

0

1

0

4

e9ea2851a3d40d3c917bfe4f692cb4c92e0a3b26

69

py

Python

server/events.py

nagurumalab/unicards

8fb2a1e502048bd33ce0e6b6b9f6d412cfd7e28e

[ "MIT" ]

null

server/events.py

nagurumalab/unicards

8fb2a1e502048bd33ce0e6b6b9f6d412cfd7e28e

[ "MIT" ]

null

server/events.py

nagurumalab/unicards

8fb2a1e502048bd33ce0e6b6b9f6d412cfd7e28e

[ "MIT" ]

null

from typing import Dict class Event: name: str data: Dict

8.625

23

0.652174

10

69

4.5

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0.304348

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0

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null

0

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null

0

1

0

1

0

4

e9f5d489db2b2fb8835c76b4eea2e91d490593f7

629

py

Python

pysp2/io/__init__.py

ARM-DOE/PySP2

4f464d03bc4b2c20e123853b1465c266f485e05d

[ "BSD-2-Clause" ]

null

pysp2/io/__init__.py

ARM-DOE/PySP2

4f464d03bc4b2c20e123853b1465c266f485e05d

[ "BSD-2-Clause" ]

1

2022-02-28T22:48:04.000Z

pysp2/io/__init__.py

ARM-DOE/PySP2

4f464d03bc4b2c20e123853b1465c266f485e05d

[ "BSD-2-Clause" ]

1

2022-02-25T14:07:21.000Z

""" pysp2.io -------- This module contains all of the procedures for reading and writing SP2 data. .. autosummary:: :toctree: generated/ read_hk_file get_hk_variable_names read_sp2 read_config write_dat write_dat_concs write_dat_concs_arm read_dat read_arm_dat read_calibration """ from .read_hk import read_hk_file, get_hk_variable_names from .read_hk import read_multi_hk_file from .read_sp2b import read_sp2 from .read_ini import read_config from .write_dat import write_dat, write_dat_concs, write_dat_concs_arm from .read_dat import read_dat, read_arm_dat, read_calibration

21.689655

76

0.771065

100

629

4.42

0.35

0.126697

0.117647

0.058824

0.520362

0.438914

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0

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0

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null

0

1

0

1

0

1

0

4

e9f7dfe8cc376f29cb1758c863499690503f18fe

3,427

py

Python

tests/test_user.py

larryTheGeek/ride_my_way_v2

b5f20095308a9230dc4fc63fcacae278c8f8ed71

[ "MIT" ]

null

tests/test_user.py

larryTheGeek/ride_my_way_v2

b5f20095308a9230dc4fc63fcacae278c8f8ed71

[ "MIT" ]

5

2021-03-18T20:54:03.000Z

2022-03-11T23:27:31.000Z

tests/test_user.py

LarryKarani/ride_my_way_v2

b5f20095308a9230dc4fc63fcacae278c8f8ed71

[ "MIT" ]

null

import json from .base_test import BaseTestCase class TestRegesterUser(BaseTestCase): def test_user_register(self): response = self.client.post('api/auth/v1/register', data=json.dumps( self.registerdata), content_type='application/json') self.assertTrue(json.loads(response.data) == { "message": "user successfully registered"}) self.assertTrue(response.status_code == 201) def test_register_empty_username(self): response = self.client.post('api/auth/v1/register', data=json.dumps( self.registerdata_no_username), content_type='application/json') self.assertTrue(json.loads(response.data) == { "message": "username cannot be empty"}) self.assertTrue(response.status_code == 400) def test_user_invalid_email(self): response = self.client.post('api/auth/v1/register', data=json.dumps( self.data_with_invalid_email), content_type='application/json') self.assertTrue(json.loads(response.data) == { "message": "Not a valid email address."}) self.assertTrue(response.status_code == 400) def test_user_short_Password(self): response = self.client.post('api/auth/v1/register', data=json.dumps( self.short_password), content_type='application/json') self.assertTrue(json.loads(response.data) == { "message": "password should be atlist 8 characters long"}) self.assertTrue(response.status_code == 400) def test_wrong_designation(self): response = self.client.post('api/auth/v1/register', data=json.dumps( self.wrong_designation), content_type='application/json') self.assertTrue(json.loads(response.data) == { "message": "designation can only be driver or passenger"}) self.assertTrue(response.status_code == 400) def test_register_user_twice(self): default_user = {"username": "james", "password": "hardpassword#", "email": "james@gmail.com", "designation": "driver"} response = self.client.post( 'api/auth/v1/register', data=json.dumps(default_user), content_type='application/json') self.assertTrue(response.status_code == 400) data = json.loads(response.data) self.assertTrue( data == {"message": "username james already exist"}) def test_register_email_twice(self): default_user = {"username": "pinto", "password": "hardpassword#", "email": "james@gmail.com", "designation": "driver"} new_user = { "username": "octo", "password": "hardpassword#", "email": "james@gmail.com", "designation": "driver"} self.client.post( 'api/auth/v1/register', data=json.dumps(default_user), content_type='application/json') response = self.client.post( 'api/auth/v1/register', data=json.dumps(new_user), content_type='application/json') self.assertTrue(response.status_code == 400) data = json.loads(response.data) print(json.loads(response.data)) self.assertTrue( data == {"message": "james@gmail.com is already registered"})

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null

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1805a52e43d99394c2ee8c0ea4d57c6b59da310b

51

py

Python

v3.0_bundle_v7.2.4/code.py

CedarGroveStudios/Scale

c3ac07319f08790a8f6fe3b904f3adc93c2c94fd

[ "MIT-0" ]

1

2021-12-08T12:37:18.000Z

v3.0_bundle_v7.2.4/code.py

CedarGroveStudios/Scale

c3ac07319f08790a8f6fe3b904f3adc93c2c94fd

[ "MIT-0" ]

null

v3.0_bundle_v7.2.4/code.py

CedarGroveStudios/Scale

c3ac07319f08790a8f6fe3b904f3adc93c2c94fd

[ "MIT-0" ]

null

import scale_code import touch_calibrator_built_in

17

32

0.921569

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51

5.375

0.875

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0

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180fdecfa7e0b02c0e705edc797bf948bce05e22

51

py

Python

app/utils/__init__.py

FireFragment/memegen

f0a1b3ba465b8cd68a873951ab50eeaa91d57a35

[ "MIT" ]

1

2022-02-11T21:28:11.000Z

app/utils/__init__.py

FireFragment/memegen

f0a1b3ba465b8cd68a873951ab50eeaa91d57a35

[ "MIT" ]

null

app/utils/__init__.py

FireFragment/memegen

f0a1b3ba465b8cd68a873951ab50eeaa91d57a35

[ "MIT" ]

null

from . import html, http, images, meta, text, urls

25.5

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4.5

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1

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null

0

1

0

1

0

4

1822f56cd609bf081743ac8feb079ba477e7282e

58

py

Python

main.py

duanyuluo/HelloWorld

c2195a05ce231d33c7f69ce32bda2b5a175f3a87

[ "Apache-2.0" ]

null

main.py

duanyuluo/HelloWorld

c2195a05ce231d33c7f69ce32bda2b5a175f3a87

[ "Apache-2.0" ]

null

main.py

duanyuluo/HelloWorld

c2195a05ce231d33c7f69ce32bda2b5a175f3a87

[ "Apache-2.0" ]

null

# encode = utf-8 print("Hello world.") print("Byebye...")

14.5

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4.5

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58

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null

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1824436d175a2b1f36f6890243f18bec0a2a5073

119

py

Python

src/__main__.py

ajk-hub/dtk

e300029196eda8c8b2cca3e854802306138f083f

[ "MIT" ]

1

2021-09-23T11:22:45.000Z

src/__main__.py

ajk-hub/dtk

e300029196eda8c8b2cca3e854802306138f083f

[ "MIT" ]

null

src/__main__.py

ajk-hub/dtk

e300029196eda8c8b2cca3e854802306138f083f

[ "MIT" ]

null

from src.entrypoint import load_arg_parser def main(): load_arg_parser() if __name__ == '__main__': main()

11.9

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null

0

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4

1841be61e6815f26f0e360e94a61c129d9684e41

2,079

py

Python

terrascript/data/vcd.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

4

2022-02-07T21:08:14.000Z

2022-03-03T04:41:28.000Z

terrascript/data/vcd.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

null

terrascript/data/vcd.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

2

2022-02-06T01:49:42.000Z

2022-02-08T14:15:00.000Z

# terrascript/data/vcd.py import terrascript class vcd_org(terrascript.Data): pass class vcd_org_vdc(terrascript.Data): pass class vcd_catalog(terrascript.Data): pass class vcd_catalog_media(terrascript.Data): pass class vcd_catalog_item(terrascript.Data): pass class vcd_edgegateway(terrascript.Data): pass class vcd_external_network(terrascript.Data): pass class vcd_independent_disk(terrascript.Data): pass class vcd_network_routed(terrascript.Data): pass class vcd_network_direct(terrascript.Data): pass class vcd_network_isolated(terrascript.Data): pass class vcd_vapp(terrascript.Data): pass class vcd_vapp_vm(terrascript.Data): pass class vcd_lb_service_monitor(terrascript.Data): pass class vcd_lb_server_pool(terrascript.Data): pass class vcd_lb_app_profile(terrascript.Data): pass class vcd_lb_app_rule(terrascript.Data): pass class vcd_lb_virtual_server(terrascript.Data): pass class vcd_nsxv_dnat(terrascript.Data): pass class vcd_nsxv_snat(terrascript.Data): pass class vcd_nsxv_firewall_rule(terrascript.Data): pass class vcd_nsxv_dhcp_relay(terrascript.Data): pass class vcd_nsxv_ip_set(terrascript.Data): pass class vcd_vapp_network(terrascript.Data): pass class vcd_vapp_org_network(terrascript.Data): pass class vcd_vm_affinity_rule(terrascript.Data): pass __all__ = [ "vcd_org", "vcd_org_vdc", "vcd_catalog", "vcd_catalog_media", "vcd_catalog_item", "vcd_edgegateway", "vcd_external_network", "vcd_independent_disk", "vcd_network_routed", "vcd_network_direct", "vcd_network_isolated", "vcd_vapp", "vcd_vapp_vm", "vcd_lb_service_monitor", "vcd_lb_server_pool", "vcd_lb_app_profile", "vcd_lb_app_rule", "vcd_lb_virtual_server", "vcd_nsxv_dnat", "vcd_nsxv_snat", "vcd_nsxv_firewall_rule", "vcd_nsxv_dhcp_relay", "vcd_nsxv_ip_set", "vcd_vapp_network", "vcd_vapp_org_network", "vcd_vm_affinity_rule", ]

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null

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1

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187c0092c6614d7246c93132c7028797161e75f6

164

py

Python

backend/codexpose/interview/apps.py

naveenyenugula/codeXpose

e82b0573b5675c64939af31f1d14bf60f4067f1d

[ "Apache-2.0" ]

5

2018-01-12T08:10:47.000Z

2018-03-30T09:14:13.000Z

backend/codexpose/interview/apps.py

naveenyenugula/codeXpose

e82b0573b5675c64939af31f1d14bf60f4067f1d

[ "Apache-2.0" ]

44

2018-01-20T20:43:06.000Z

2018-04-05T13:09:03.000Z

backend/codexpose/interview/apps.py

naveenyenugula/codeXpose

e82b0573b5675c64939af31f1d14bf60f4067f1d

[ "Apache-2.0" ]

9

2017-12-21T11:51:59.000Z

2018-05-08T15:39:49.000Z

"""app.py to define apps for codexpose.""" from django.apps import AppConfig class InterviewConfig(AppConfig): """App config Class.""" name = 'interview'

20.5

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1

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null

0

1

0

1

0

4

43e4a7b6057727de1e8477e98a2f5841e8963ad2

9,642

py

Python

tinytorch/fast/conv.py

aspfohl/tinytorch

99ac1847b798f755d12876667ec7c3a6c7149857

[ "MIT" ]

null

tinytorch/fast/conv.py

aspfohl/tinytorch

99ac1847b798f755d12876667ec7c3a6c7149857

[ "MIT" ]

null

tinytorch/fast/conv.py

aspfohl/tinytorch

99ac1847b798f755d12876667ec7c3a6c7149857

[ "MIT" ]

null

import numpy as np from numba import njit, prange from tinytorch.tensor.data import MAX_DIMS, broadcast_index, index_to_position, to_index from tinytorch.tensor.functions import Function # This code will JIT compile fast versions your tensor_data functions. # If you get an error, read the docs for NUMBA as to what is allowed # in these functions. j_to_index = njit(inline="always")(to_index) j_index_to_position = njit(inline="always")(index_to_position) j_broadcast_index = njit(inline="always")(broadcast_index) @njit(parallel=True) def tensor_conv1d( out, out_shape, out_strides, out_size, input, input_shape, input_strides, weight, weight_shape, weight_strides, reverse, ): """ 1D Convolution implementation. Given input tensor of `batch, in_channels, width` and weight tensor `out_channels, in_channels, k_width` Computes padded output of `batch, out_channels, width` `reverse` decides if weight is anchored left (False) or right. (See diagrams) Args: out (array): storage for `out` tensor. out_shape (array): shape for `out` tensor. out_strides (array): strides for `out` tensor. out_size (int): size of the `out` tensor. input (array): storage for `input` tensor. input_shape (array): shape for `input` tensor. input_strides (array): strides for `input` tensor. weight (array): storage for `input` tensor. weight_shape (array): shape for `input` tensor. weight_strides (array): strides for `input` tensor. reverse (bool): anchor weight at left or right """ batch_, out_channels, _ = out_shape batch, in_channels, width = input_shape out_channels_, in_channels_, kw = weight_shape assert ( batch == batch_ and in_channels == in_channels_ and out_channels == out_channels_ ) for o in prange(out_size): out_index = np.empty(MAX_DIMS, np.int32) j_to_index(o, out_shape, out_index) o0, o1, o2 = out_index[0], out_index[1], out_index[2] i_pos = j_index_to_position([o0, 0, o2], input_strides) w_pos = j_index_to_position([o1, 0, kw - 1 if reverse else 0], weight_strides) # iterate over in channels (from input) temp = 0 for _ in range(in_channels): temp_i_pos = i_pos temp_w_pos = w_pos # iterate over slider size (from weight) for w in range(kw): if not 0 <= o2 + ((w - kw + 1) if reverse else w) < width: continue temp += input[temp_i_pos] * weight[temp_w_pos] temp_i_pos += (1 if not reverse else -1) * input_strides[2] temp_w_pos += (1 if not reverse else -1) * weight_strides[2] i_pos += input_strides[1] w_pos += weight_strides[1] # save to output out[j_index_to_position(out_index, out_strides)] = temp class Conv1dFun(Function): @staticmethod def forward(ctx, input, weight): """ Compute a 1D Convolution Args: ctx : Context input (:class:`Tensor`) : batch x in_channel x h x w weight (:class:`Tensor`) : out_channel x in_channel x kh x kw Returns: (:class:`Tensor`) : batch x out_channel x h x w """ ctx.save_for_backward(input, weight) batch, in_channels, w = input.shape out_channels, in_channels2, kw = weight.shape assert in_channels == in_channels2 # Run convolution output = input.zeros((batch, out_channels, w)) tensor_conv1d( *output.tuple(), output.size, *input.tuple(), *weight.tuple(), False ) return output @staticmethod def backward(ctx, grad_output): input, weight = ctx.saved_values batch, in_channels, w = input.shape out_channels, in_channels, kw = weight.shape grad_weight = grad_output.zeros((in_channels, out_channels, kw)) new_input = input.permute(1, 0, 2) new_grad_output = grad_output.permute(1, 0, 2) tensor_conv1d( *grad_weight.tuple(), grad_weight.size, *new_input.tuple(), *new_grad_output.tuple(), False, ) grad_weight = grad_weight.permute(1, 0, 2) grad_input = input.zeros((batch, in_channels, w)) new_weight = weight.permute(1, 0, 2) tensor_conv1d( *grad_input.tuple(), grad_input.size, *grad_output.tuple(), *new_weight.tuple(), True, ) return grad_input, grad_weight conv1d = Conv1dFun.apply @njit(parallel=True, fastmath=True) def tensor_conv2d( out, out_shape, out_strides, out_size, input, input_shape, input_strides, weight, weight_shape, weight_strides, reverse, ): """ 2D Convolution implementation. Given input tensor of `batch, in_channels, height, width` and weight tensor `out_channels, in_channels, k_height, k_width` Computes padded output of `batch, out_channels, height, width` `Reverse` decides if weight is anchored top-left (False) or bottom-right. (See diagrams) Args: out (array): storage for `out` tensor. out_shape (array): shape for `out` tensor. out_strides (array): strides for `out` tensor. out_size (int): size of the `out` tensor. input (array): storage for `input` tensor. input_shape (array): shape for `input` tensor. input_strides (array): strides for `input` tensor. weight (array): storage for `input` tensor. weight_shape (array): shape for `input` tensor. weight_strides (array): strides for `input` tensor. reverse (bool): anchor weight at top-left or bottom-right """ batch_, out_channels, _, _ = out_shape batch, in_channels, height, width = input_shape out_channels_, in_channels_, kh, kw = weight_shape assert ( batch == batch_ and in_channels == in_channels_ and out_channels == out_channels_ ) for o in prange(out_size): out_index = np.empty(MAX_DIMS, np.int32) j_to_index(o, out_shape, out_index) o0, o1, o2, o3 = out_index[0], out_index[1], out_index[2], out_index[3] i_pos = j_index_to_position([o0, 0, o2, o3], input_strides) w_pos = j_index_to_position( [o1, 0, kh - 1 if reverse else 0, kw - 1 if reverse else 0], weight_strides, ) # iterate over in channels (from input) multiplier = 1 if not reverse else -1 temp = 0 for _ in range(in_channels): temp_i_pos = i_pos temp_w_pos = w_pos # iterate over slider size (from weight) for h in range(kh): temp2_i_pos = temp_i_pos temp2_w_pos = temp_w_pos for w in range(kw): # 2nd dimension if ( not reverse and 0 <= o2 + h < height and 0 <= o3 + w < width ) or ( reverse and 0 <= o2 - kh + h + 1 < height and 0 <= o3 - kw + w + 1 < width ): temp += input[temp2_i_pos] * weight[temp2_w_pos] temp2_i_pos += multiplier * input_strides[3] temp2_w_pos += multiplier * weight_strides[3] temp_i_pos += multiplier * input_strides[2] temp_w_pos += multiplier * weight_strides[2] i_pos += input_strides[1] w_pos += weight_strides[1] out[j_index_to_position(out_index, out_strides)] = temp class Conv2dFun(Function): @staticmethod def forward(ctx, input, weight): """ Compute a 2D Convolution Args: ctx : Context input (:class:`Tensor`) : batch x in_channel x h x w weight (:class:`Tensor`) : out_channel x in_channel x kh x kw Returns: (:class:`Tensor`) : batch x out_channel x h x w """ ctx.save_for_backward(input, weight) batch, in_channels, h, w = input.shape out_channels, in_channels2, kh, kw = weight.shape assert in_channels == in_channels2 output = input.zeros((batch, out_channels, h, w)) tensor_conv2d( *output.tuple(), output.size, *input.tuple(), *weight.tuple(), False ) return output @staticmethod def backward(ctx, grad_output): input, weight = ctx.saved_values batch, in_channels, h, w = input.shape out_channels, in_channels, kh, kw = weight.shape grad_weight = grad_output.zeros((in_channels, out_channels, kh, kw)) new_input = input.permute(1, 0, 2, 3) new_grad_output = grad_output.permute(1, 0, 2, 3) tensor_conv2d( *grad_weight.tuple(), grad_weight.size, *new_input.tuple(), *new_grad_output.tuple(), False, ) grad_weight = grad_weight.permute(1, 0, 2, 3) grad_input = input.zeros((batch, in_channels, h, w)) new_weight = weight.permute(1, 0, 2, 3) tensor_conv2d( *grad_input.tuple(), grad_input.size, *grad_output.tuple(), *new_weight.tuple(), True, ) return grad_input, grad_weight conv2d = Conv2dFun.apply

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43e7b2e1a8afdac49bbf5e85f56b11a546e25035

431

py

Python

win32/install_win.py

ciena-blueplanet/git-fat

b6deb1f86b6f62e88e6bb6ea7656b72ce4ccc511

[ "BSD-2-Clause" ]

20

2016-01-31T01:49:44.000Z

2021-11-12T11:22:26.000Z

win32/install_win.py

mcanthony/git-fat

b6deb1f86b6f62e88e6bb6ea7656b72ce4ccc511

[ "BSD-2-Clause" ]

7

2016-08-04T14:20:46.000Z

2022-03-30T22:19:54.000Z

win32/install_win.py

mcanthony/git-fat

b6deb1f86b6f62e88e6bb6ea7656b72ce4ccc511

[ "BSD-2-Clause" ]

7

2016-03-29T09:20:33.000Z

2020-02-13T09:57:07.000Z

""" Install the latest Windows binary wheel package from PyPI """ def install_gitfat_win(): """ Install the latest Windows binary wheel package from PyPI """ # TODO: Parse all available packages through PyPI Simple: # https://pypi.python.org/simple/git-fat/ raise NotImplementedError("TODO: Installing pypi/git-fat on Windows") def main(): install_gitfat_win() if __name__ == "__main__": main()

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0

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a10f1ff34d5887ed779e23c7dd7d828d13e605d3

136

py

Python

helloworld/apps.py

B-Shreyas/djangoContainer

a3932daa3fb0d12566c90b038a8c97a5c7cd5254

[ "Apache-2.0" ]

null

helloworld/apps.py

B-Shreyas/djangoContainer

a3932daa3fb0d12566c90b038a8c97a5c7cd5254

[ "Apache-2.0" ]

2

2020-06-06T01:10:08.000Z

2021-06-10T22:51:24.000Z

helloworld/apps.py

B-Shreyas/djangoContainer

a3932daa3fb0d12566c90b038a8c97a5c7cd5254

[ "Apache-2.0" ]

null

from __future__ import unicode_literals from django.apps import AppConfig class HelloworldConfig(AppConfig): name = 'helloworld'

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a1130518e85d78395c541d49b292b8f002d9b7a1

142

py

Python

semana-09/VPL-6/exceptions/elevadorJahNoUltimoAndarException.py

larissajusten/ufsc-object-oriented-programming

839e6abcc20580ea1a47479232c3ed3cb0153e4b

[ "MIT" ]

6

2021-11-29T05:43:19.000Z

2022-03-15T21:54:54.000Z

semana-09/VPL-6/exceptions/elevadorJahNoUltimoAndarException.py

larissajusten/ufsc-object-oriented-programming

839e6abcc20580ea1a47479232c3ed3cb0153e4b

[ "MIT" ]

3

2021-11-21T03:44:03.000Z

2021-11-21T03:44:05.000Z

semana-09/VPL-6/exceptions/elevadorJahNoUltimoAndarException.py

larissajusten/ufsc-object-oriented-programming

839e6abcc20580ea1a47479232c3ed3cb0153e4b

[ "MIT" ]

null

class ElevadorJahNoUltimoAndarException(Exception): def __init__(self): super().__init__("Elevador se encontra no último andar!")

35.5

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0.746479

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142

7

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0

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4

a14694c7f62d06d59fd68aa86ecfcc2bcedb29cc

6,695

py

Python

src/utils/utility.py

dashayushman/AirScript

4a972dfa480cd96ccb5bd8e606c8c8a309b66edb

[ "MIT" ]

9

2017-07-18T21:41:04.000Z

2021-07-13T10:17:16.000Z

src/utils/utility.py

qwzhong1988/air-script-seq

4a972dfa480cd96ccb5bd8e606c8c8a309b66edb

[ "MIT" ]

null

src/utils/utility.py

qwzhong1988/air-script-seq

4a972dfa480cd96ccb5bd8e606c8c8a309b66edb

[ "MIT" ]

2

2017-09-25T12:54:43.000Z

2020-12-05T17:20:30.000Z

from tabulate import tabulate import numpy as np import os import markdown2 import csv # method to pad a vector with and normalize to a fixed length def padVector(vec, front, back, emg=False): if emg: return np.lib.pad(vec, (int(front), int(back)), 'constant', constant_values=(0, 0)) else: return np.lib.pad(vec, (int(front), int(back)), 'constant', constant_values=(vec[0], vec[-1])) def saveMatrixToCsvFile(filepath, mat): with open(filepath, "w", newline='') as f: writer = csv.writer(f) writer.writerows(mat) def createDir(dirPath): if not os.path.exists(dirPath): os.makedirs(dirPath) def appendClfReportToListSvm(fileContent, clf_rpt, cm, acc_scr, best_params, itr, n_train, n_test, labels): fileContent.append('### Best Params ' + str(best_params)) fileContent.append('\n') fileContent.append('### For nth fold where n = ' + str(itr)) fileContent.append('\n') fileContent.append('### Number of training instances = ' + str(n_train)) fileContent.append('\n') fileContent.append('### Number of validation instances = ' + str(n_test)) fileContent.append('\n') fileContent.append('### Accuracy Score : ' + str(acc_scr)) fileContent.append('\n\n') fileContent.append('## Classification Report') fileContent.append('\n\n') fileContent.append(clf_rpt) fileContent.append('\n') fileContent.append('## Confusion Matrix') fileContent.append('\n\n') # fileContent.append(tabulate(cm)) # print(joinMatrix(cm, '\n','\t')) fileContent.append( tabulate(np.insert(cm, 0, labels, axis=1), labels, tablefmt="html")) fileContent.append('\n\n') fileContent.append( '___________________________________________________________________________________') fileContent.append('\n\n') return fileContent def appendClfReportToListNB(fileContent, clf_rpt, cm, acc_scr, algo, itr, n_train, n_test, labels): fileContent.append('### Type ' + str(algo)) fileContent.append('\n') fileContent.append('### For nth fold where n = ' + str(itr)) fileContent.append('\n') fileContent.append('### Number of training instances = ' + str(n_train)) fileContent.append('\n') fileContent.append('### Number of validation instances = ' + str(n_test)) fileContent.append('\n') fileContent.append('### Accuracy Score : ' + str(acc_scr)) fileContent.append('\n\n') fileContent.append('## Classification Report') fileContent.append('\n\n') fileContent.append(clf_rpt) fileContent.append('\n') fileContent.append('## Confusion Matrix') fileContent.append('\n\n') # fileContent.append(tabulate(cm)) # print(joinMatrix(cm, '\n','\t')) fileContent.append( tabulate(np.insert(cm, 0, labels, axis=1), labels, tablefmt="html")) fileContent.append('\n\n') fileContent.append( '___________________________________________________________________________________') fileContent.append('\n\n') return fileContent def appendClfReportToListKnn(fileContent, clf_rpt, cm, acc_scr, n_neigh, itr, n_train, n_test, labels): fileContent.append('### Number of Neighbours ' + str(n_neigh)) fileContent.append('\n') fileContent.append('### For nth fold where n = ' + str(itr)) fileContent.append('\n') fileContent.append('### Number of training instances = ' + str(n_train)) fileContent.append('\n') fileContent.append('### Number of validation instances = ' + str(n_test)) fileContent.append('\n') fileContent.append('### Accuracy Score : ' + str(acc_scr)) fileContent.append('\n\n') fileContent.append('## Classification Report') fileContent.append('\n\n') fileContent.append(clf_rpt) fileContent.append('\n') fileContent.append('## Confusion Matrix') fileContent.append('\n\n') # fileContent.append(tabulate(cm)) # print(joinMatrix(cm, '\n','\t')) fileContent.append( tabulate(np.insert(cm, 0, labels, axis=1), labels, tablefmt="html")) fileContent.append('\n\n') fileContent.append( '___________________________________________________________________________________') fileContent.append('\n\n') return fileContent def appendClfReportToListHMM(fileContent, clf_rpt, cm, acc_scr, n_states, itr, n_train, n_test, labels): fileContent.append('### Number of States ' + str(n_states)) fileContent.append('\n') fileContent.append('### For nth fold where n = ' + str(itr)) fileContent.append('\n') fileContent.append('### Number of training instances = ' + str(n_train)) fileContent.append('\n') fileContent.append('### Number of validation instances = ' + str(n_test)) fileContent.append('\n') fileContent.append('### Accuracy Score : ' + str(acc_scr)) fileContent.append('\n\n') fileContent.append('## Classification Report') fileContent.append('\n\n') fileContent.append(clf_rpt) fileContent.append('\n') fileContent.append('## Confusion Matrix') fileContent.append('\n\n') # fileContent.append(tabulate(cm)) # print(joinMatrix(cm, '\n','\t')) fileContent.append( tabulate(np.insert(cm, 0, labels, axis=1), labels, tablefmt="html")) fileContent.append('\n\n') fileContent.append( '___________________________________________________________________________________') fileContent.append('\n\n') return fileContent def mrkdwn2html(mrkStr): return markdown2.markdown(mrkStr) def getStrFrmList(lst, separator): return separator.join(lst) def joinMatrix(matrix, r_separator, c_separator): str_rows = [] for row in matrix: str_rows.append(c_separator.join([str(v) for v in row])) return r_separator.join(str_rows) def appendHeaderToFcListHMM(fileContent, accuracies, header): fileContent_h = [] fileContent_h.append('# For ' + header) fileContent_h.append('\n\n') fileContent_h.append('## Accuracies for all the folds are as follows\n') fileContent_h.append(str(accuracies) + '\n\n') fileContent_h.append('## Average Accuracy\n') fileContent_h.append(str(np.mean(accuracies)) + '\n\n') fileContent_h.append( '_______________________________________________________________________________________________________') fileContent_h.append('\n\n') return fileContent_h + fileContent def writeToFile(filepath, filecontent): with open(filepath, "wt") as out_file: out_file.write(filecontent)

36.98895

114

0.665571

739

6,695

5.361299

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0.146391

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0

null

1

0

1

0

1

0

null

0

4

a14d32bacdc4a26e8ba463e62bfe520988fa22c5

134

py

Python

cash_viz/style.py

PhiladelphiaController/cash_viz

2124d1d7859fc20e2a7f79754697fd5a41b2ee47

[ "MIT" ]

null

cash_viz/style.py

PhiladelphiaController/cash_viz

2124d1d7859fc20e2a7f79754697fd5a41b2ee47

[ "MIT" ]

null

cash_viz/style.py

PhiladelphiaController/cash_viz

2124d1d7859fc20e2a7f79754697fd5a41b2ee47

[ "MIT" ]

null

from phila_style.matplotlib import get_theme from phila_style import * palette = get_digital_standards() default_style = get_theme()

22.333333

44

0.828358

19

134

5.473684

0.578947

0.173077

0.269231

0

0.11194

134

5

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1

0

false

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null

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1

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null

0

1

0

4

a182c1379519fad7ead456e50468497c39677c1c

261

py

Python

DQM/RPCMonitorClient/python/RPCDCSSummary_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DQM/RPCMonitorClient/python/RPCDCSSummary_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DQM/RPCMonitorClient/python/RPCDCSSummary_cfi.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 DQMServices.Core.DQMEDHarvester import DQMEDHarvester rpcDCSSummary = DQMEDHarvester("RPCDCSSummary", NumberOfEndcapDisks = cms.untracked.int32(4), )

37.285714

77

0.632184

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261

8.25

0.75

0.327273

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0.016575

0.306513

261

6

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43.5

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null

1

0

1

0

null

0

1

0

4

a189616f1bd51fceb32759af871684bebddb4834

216

py

Python

giiit/logic/__init__.py

maizy/giiit

31d2cbbf4969e2330671382475e3423dd992bde1

[ "MIT" ]

2

2020-12-19T02:04:15.000Z

2021-03-29T19:48:53.000Z

giiit/logic/__init__.py

maizy/giiit

31d2cbbf4969e2330671382475e3423dd992bde1

[ "MIT" ]

null

giiit/logic/__init__.py

maizy/giiit

31d2cbbf4969e2330671382475e3423dd992bde1

[ "MIT" ]

null

# _*_ coding: utf-8 _*_ # Copyright (c) Nikita Kovaliov, maizy.ru, 2013 # See LICENSE.txt for details. from __future__ import unicode_literals, absolute_import from giiit import Error class Error(Error): pass

19.636364

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0.75

30

216

5.066667

0.833333

0

0.027778

0.166667

216

10

57

21.6

0.816667

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0

1

0

true

0.25

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0.75

0

null

0

null

0

1

0

1

0

4

a1b46673a176331317a8732b2c053794af7af125

113

py

Python

my_lambdata/__init__.py

tatianaportsova/Lambdata_12

4cab1dc4f65d479b8f2919155c4bb6b58243d8db

[ "MIT" ]

null

my_lambdata/__init__.py

tatianaportsova/Lambdata_12

4cab1dc4f65d479b8f2919155c4bb6b58243d8db

[ "MIT" ]

null

my_lambdata/__init__.py

tatianaportsova/Lambdata_12

4cab1dc4f65d479b8f2919155c4bb6b58243d8db

[ "MIT" ]

null

# __init__.py # thissurrounding folder -treat it like a modul # so we can import thing from the files within

22.6

48

0.743363

18

113

4.444444

1

0

0.212389

113

4

49

28.25

0.898876

0.902655

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

a1ee75517c71e980435dc634b43186120c33b6e7

204

py

Python

plugins/hanlp_demo/hanlp_demo/block_windows.py

antfootAlex/HanLP

e8044b27ae1de54b9070db08549853d3ca8271e2

[ "Apache-2.0" ]

27,208

2015-03-27T10:25:45.000Z

2022-03-31T13:26:32.000Z

plugins/hanlp_demo/hanlp_demo/block_windows.py

hushaoyun/HanLP

967b52404c9d0adbc0cff2699690c127ecfca36e

[ "Apache-2.0" ]

1,674

2015-03-30T06:36:44.000Z

2022-03-16T01:52:56.000Z

plugins/hanlp_demo/hanlp_demo/block_windows.py

hushaoyun/HanLP

967b52404c9d0adbc0cff2699690c127ecfca36e

[ "Apache-2.0" ]

7,710

2015-03-27T08:07:57.000Z

2022-03-31T14:57:23.000Z

# -*- coding:utf-8 -*- # Author: hankcs # Date: 2021-07-28 21:38 from hanlp.utils.io_util import windows assert not windows(), 'Windows is not supported for this script. Please run it on Linux systems.'

29.142857

97

0.720588

34

204

4.294118

0.911765

0

0.075581

0.156863

204

6

98

34

0.773256

0.284314

0

0.514085

0

0.5

1

0

true

0

0.5

0

0.5

0

null

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1

0

null

0

1

0

1

0

1

0

4

b802b91ca8ca83b999ab8bb8c0d48ec2f2cec5f2

25

py

Python

data/studio21_generated/introductory/2678/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/2678/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/2678/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def no_order(equation):

12.5

23

0.76

4

25

4.5

1

0

0.12

25

2

24

12.5

0.818182

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

b81cdf690e7e22991d50dd8e450591de9c22ae31

2,755

py

Python

src/jk_svg/_AttrMixinX1Y1X2Y2.py

jkpubsrc/python-module-jk-svg

7cd9d874e4e01851ccc5a14599408743baaf77f6

[ "Apache-1.1" ]

null

src/jk_svg/_AttrMixinX1Y1X2Y2.py

jkpubsrc/python-module-jk-svg

7cd9d874e4e01851ccc5a14599408743baaf77f6

[ "Apache-1.1" ]

null

src/jk_svg/_AttrMixinX1Y1X2Y2.py

jkpubsrc/python-module-jk-svg

7cd9d874e4e01851ccc5a14599408743baaf77f6

[ "Apache-1.1" ]

null

import typing import jk_typing import jk_hwriter class _AttrMixinX1Y1X2Y2: ################################################################################################################################ ## Constructor ################################################################################################################################ def _init_AttrMixinX1Y1X2Y2(self): self._moveCallback = self.__move # ################################################################################################################################ ## Public Properties ################################################################################################################################ @property def _xy1(self) -> tuple: return self._attributes.get("x1", 0), self._attributes.get("y1", 0) # @_xy1.setter def _xy1(self, value:tuple): assert isinstance(value, (list,tuple)) assert len(value) >= 2 assert isinstance(value[0], (int,float)) assert isinstance(value[1], (int,float)) self._attributes["x1"] = value[0] self._attributes["y1"] = value[1] # @property def _xy2(self) -> tuple: return self._attributes.get("x2", 0), self._attributes.get("y2", 0) # @_xy2.setter def _xy2(self, value:tuple): assert isinstance(value, (list,tuple)) assert len(value) >= 2 assert isinstance(value[0], (int,float)) assert isinstance(value[1], (int,float)) self._attributes["x2"] = value[0] self._attributes["y2"] = value[1] # @property def x1(self) -> float: return self._attributes.get("x1", 0) # @x1.setter def x1(self, v:float): self._attributes["x1"] = v # @property def y1(self) -> float: return self._attributes.get("y1", 0) # @y1.setter def y1(self, v:float): self._attributes["y1"] = v # @property def x2(self) -> float: return self._attributes.get("x2", 0) # @x2.setter def x2(self, v:float): self._attributes["x2"] = v # @property def y2(self) -> float: return self._attributes.get("y2", 0) # @y2.setter def y2(self, v:float): self._attributes["y2"] = v # ################################################################################################################################ ## Helper Methods ################################################################################################################################ def __move(self, dx:float, dy:float): self.x1 += dx self.y1 += dy self.x2 += dx self.y2 += dy # ################################################################################################################################ ## Public Methods ################################################################################################################################ #

22.04

129

0.400363

240

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4.4625

0.170833

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0.126984

0.128852

0.571429

0.438842

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0

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0.121597

2,755

124

130

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false

0

0.052632

0.105263

0.421053

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null

1

0

1

0

null

0

1

0

1

0

4

6297185b986dbaeff715729bd5c532b16c106408

215

py

Python

release/pyinstaller/picasso_pyinstaller.py

ajasja/picasso

ac0064fbc232caab1135ebd3c4cc55f439a1cd32

[ "MIT" ]

null

release/pyinstaller/picasso_pyinstaller.py

ajasja/picasso

ac0064fbc232caab1135ebd3c4cc55f439a1cd32

[ "MIT" ]

null

release/pyinstaller/picasso_pyinstaller.py

ajasja/picasso

ac0064fbc232caab1135ebd3c4cc55f439a1cd32

[ "MIT" ]

null

from multiprocessing import freeze_support if __name__ == "__main__": # This line is needed so that pyinstaller can handle multiprocessing freeze_support() from picasso.__main__ import main main()

23.888889

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0.748837

26

215

5.653846

0.692308

0.176871

0

0.2

215

9

73

23.888889

0.854651

0.306977

0

0.054054

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

4

62a86a0a6999d675de6846f6d230e5be3f08bdc0

471

py

Python

config_training_hku0.py

JiazeWang/lung_nodule_detector

920e7caa95e2dfd2d95bf39113aacd65f7726a9b

[ "MIT" ]

null

config_training_hku0.py

JiazeWang/lung_nodule_detector

920e7caa95e2dfd2d95bf39113aacd65f7726a9b

[ "MIT" ]

null

config_training_hku0.py

JiazeWang/lung_nodule_detector

920e7caa95e2dfd2d95bf39113aacd65f7726a9b

[ "MIT" ]

null

config = {'luna_raw':'/root/ssd_data/LUNA/', 'luna_data':'/research/dept8/jzwang/dataset/LUNA16/combined/', 'preprocess_result_path':'/research/dept8/jzwang/dataset/HKU/preprocessed/numpy/', 'luna_abbr':'./labels/shorter.csv', 'luna_label':'./labels/lunaqualified_all.csv', 'luna_candidate_label':'./labels/luna_candidate_all.csv', 'lidc_xml':'./lidc_xml', 'preprocessing_backend':'python' }

47.1

92

0.632696

51

471

5.54902

0.607843

0.091873

0.134276

0.183746

0

0.010499

0.191083

471

9

93

52.333333

0.732283

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0

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false

0

null

0

1

0

1

0

1

null

0

4

62c6ba63505db8004a643f4379efa17d31d237fc

172

py

Python

tests/pylint_airflow/integration/scripts/test_modelsdag_filename.py

scribd/pylint-airflow

90cc4cb9d38cc846c64ebfec8cb9876d49980e4e

[ "MIT" ]

70

2019-05-18T21:57:44.000Z

2022-03-28T16:28:12.000Z

tests/pylint_airflow/integration/scripts/test_modelsdag_filename.py

scribd/pylint-airflow

90cc4cb9d38cc846c64ebfec8cb9876d49980e4e

[ "MIT" ]

7

2019-05-25T11:53:54.000Z

2022-01-20T20:09:11.000Z

tests/pylint_airflow/integration/scripts/test_modelsdag_filename.py

scribd/pylint-airflow

90cc4cb9d38cc846c64ebfec8cb9876d49980e4e

[ "MIT" ]

10

2019-07-08T02:28:24.000Z

2022-03-11T09:39:00.000Z

# [match-dagid-filename] """Explicit DAG assignment, checking models.DAG()""" # pylint: disable=invalid-name from airflow import models dag = models.DAG(dag_id="foobar")

21.5

52

0.738372

23

172

5.478261

0.73913

0.214286

0

0.110465

172

7

53

24.571429

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false

0

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0

null

1

0

1

0

null

0

1

0

4

62ca481b929979c6b203219b94afc72421886bd5

915

py

Python

rev/rev-optimizeme/solve.py

NoXLaw/RaRCTF2021-Challenges-Public

1a1b094359b88f8ebbc83a6b26d27ffb2602458f

[ "MIT" ]

2

2021-08-09T17:08:12.000Z

2021-08-09T17:08:17.000Z

rev/rev-optimizeme/solve.py

NoXLaw/RaRCTF2021-Challenges-Public

1a1b094359b88f8ebbc83a6b26d27ffb2602458f

[ "MIT" ]

null

rev/rev-optimizeme/solve.py

NoXLaw/RaRCTF2021-Challenges-Public

1a1b094359b88f8ebbc83a6b26d27ffb2602458f

[ "MIT" ]

1

2021-10-09T16:51:56.000Z

from Crypto.Util.number import long_to_bytes def optimizedlcg(b, p, state, rounds): # optimized LCG where a = 2 state = pow(2,rounds,p) * state + b * (pow(2,rounds,p) - 1) return state p = 48569718278242303506230209619975923780743060131772701186017298107559924284242635979759825505782161830376129653325924722665978898131985179210937191151223888128070809835310745199785794930057364029265229452480206055255713317889077410854999087437697415991657128058495524746236464800864688806069056279502078609163 a = 2 b = 3 rounds = p >> 3 state = 21168651249892365486136418125726362865327546384637160303310624426991883020070096339748008613139669972987435197171828010807801735363313790068442787546235698438618519181810304746021912309785611083417111013075787209062958230479598507954803956586021189590329762702913302100337042009595481240883581225904761204891 print(long_to_bytes(optimizedlcg(b,p,state,rounds) % p).decode())

70.384615

316

0.89071

55

915

14.745455

0.490909

0.034525

0.027127

0.046856

0.061652

0

0.724419

0.060109

915

12

317

76.25

0.218605

0.027322

0

1

0

1

0.1

false

0

0.1

0

0.3

0.1

0

1

null

0

1

0

1

0

null

1

0

4

62d427d04c077e2e4ca4ac8c5a013878a6bd2a7c

83

py

Python

boot/dupa/apps.py

micbuz/project2

1442ad4767b4fb3a3ed5d36108682f9d60c4eab8

[ "Apache-2.0" ]

null

boot/dupa/apps.py

micbuz/project2

1442ad4767b4fb3a3ed5d36108682f9d60c4eab8

[ "Apache-2.0" ]

null

boot/dupa/apps.py

micbuz/project2

1442ad4767b4fb3a3ed5d36108682f9d60c4eab8

[ "Apache-2.0" ]

null

from django.apps import AppConfig class DupaConfig(AppConfig): name = 'dupa'

13.833333

33

0.73494

10

83

6.1

0.9

0

0.180723

83

5

34

16.6

0.897059

0

0.048193

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

62e7050821f1793d97d9b9fe8e04cc0a8ce555f6

86

py

Python

code/sherlock_helpers/setup.py

paxtonfitzpatrick/sherlock-topic-model-paper

ceda0ca82ec86aa716f668a2b9832c691f8d129f

[ "MIT" ]

null

code/sherlock_helpers/setup.py

paxtonfitzpatrick/sherlock-topic-model-paper

ceda0ca82ec86aa716f668a2b9832c691f8d129f

[ "MIT" ]

null

code/sherlock_helpers/setup.py

paxtonfitzpatrick/sherlock-topic-model-paper

ceda0ca82ec86aa716f668a2b9832c691f8d129f

[ "MIT" ]

null

# -*- coding: utf-8 -*- from setuptools import setup # reads from setup.cfg setup()

12.285714

28

0.662791

12

86

4.75

0.75

0

0.014286

0.186047

86

6

29

14.333333

0.8

0.488372

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1a02d8f7e190d33ef178f7d53934619cbd06c374

242

py

Python

tinydb_bulk/errors.py

ppolxda/tinydb_bulk

44d856d68a7c0600019dfaadd255747bb64b4878

[ "MIT" ]

null

tinydb_bulk/errors.py

ppolxda/tinydb_bulk

44d856d68a7c0600019dfaadd255747bb64b4878

[ "MIT" ]

null

tinydb_bulk/errors.py

ppolxda/tinydb_bulk

44d856d68a7c0600019dfaadd255747bb64b4878

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ @create: 2019-05-30 22:19:12. @author: ppolxda @desc: """ class Error(Exception): pass class InputError(Error): pass class DuplicateError(Error): pass class IndexExpiredError(Error): pass

9.68

31

0.632231

29

242

5.275862

0.689655

0.176471

0.183007

0

0.078534

0.210744

242

24

32

10.083333

0.722513

0.322314

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

1a03ddf627777cf3a2f5bb955d01f48bfd72854b

144

py

Python

signals/signals/apps/entities/apps.py

gonzaloamadio/django-signals3

39bb2520cbeaeca3128a00e251f55b4b9ee5ad38

[ "MIT" ]

null

signals/signals/apps/entities/apps.py

gonzaloamadio/django-signals3

39bb2520cbeaeca3128a00e251f55b4b9ee5ad38

[ "MIT" ]

null

signals/signals/apps/entities/apps.py

gonzaloamadio/django-signals3

39bb2520cbeaeca3128a00e251f55b4b9ee5ad38

[ "MIT" ]

null

from django.apps import AppConfig class EntitiesConfig(AppConfig): name ='entities' def ready(self): import entities.signals

16

33

0.708333

16

144

6.375

0.8125

0

0.215278

144

8

34

18

0.902655

0

0.055556

0

1

0.2

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1a19e10072dfbbd990340ee1cacc69750f324b41

47

py

Python

cryptocurrency_bot/configs/__init__.py

Hukyl/cryptocurrency_bot

5fd97056f1c88aea406571d1183e3ce1b7a50474

[ "MIT" ]

1

2021-06-02T06:13:56.000Z

cryptocurrency_bot/configs/__init__.py

Hukyl/cryptocurrency_bot

5fd97056f1c88aea406571d1183e3ce1b7a50474

[ "MIT" ]

null

cryptocurrency_bot/configs/__init__.py

Hukyl/cryptocurrency_bot

5fd97056f1c88aea406571d1183e3ce1b7a50474

[ "MIT" ]

null

from . import settings __all__ = ['settings']

11.75

22

0.702128

5

47

5.8

0.8

0

0.170213

47

3

23

15.666667

0.74359

0

0.170213

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

c5121e3c62dbf0318aafe5d769b4cfa221bbb4b3

213

py

Python

pgx/Physical.py

tantiem/pgxtended

4f5c05ea0eebb3a6bebac1a35a74f0d161951772

[ "MIT" ]

null

pgx/Physical.py

tantiem/pgxtended

4f5c05ea0eebb3a6bebac1a35a74f0d161951772

[ "MIT" ]

null

pgx/Physical.py

tantiem/pgxtended

4f5c05ea0eebb3a6bebac1a35a74f0d161951772

[ "MIT" ]

null

from . import Transformable class Physical(Transformable.Transformable): def __init__(self,pos,image,group=None,layer=0): super().__init__(pos,image,group,layer) #Overload methods if needed

30.428571

53

0.723005

26

213

5.615385

0.730769

0.109589

0.178082

0

0.00565

0.169014

213

7

54

30.428571

0.819209

0.122066

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c5162232fabeef8e42462c217f96bad06d04b47d

172

py

Python

InterviewTool/accounttree/forms.py

billcd/InterviewTool

dcb02fd3226259f76a1c405f43d1f665ab942750

[ "Apache-2.0" ]

null

InterviewTool/accounttree/forms.py

billcd/InterviewTool

dcb02fd3226259f76a1c405f43d1f665ab942750

[ "Apache-2.0" ]

null

InterviewTool/accounttree/forms.py

billcd/InterviewTool

dcb02fd3226259f76a1c405f43d1f665ab942750

[ "Apache-2.0" ]

null

from django.forms import ModelForm from .models import Account class AccountFormBasicOrg(ModelForm): class Meta: model = Account exclude = ('user', )

19.111111

37

0.686047

18

172

6.555556

0.722222

0

0.238372

172

8

38

21.5

0.900763

0

0.023256

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c51ac7254b783b71aef7e673f1c40a1d5a9203ac

128

py

Python

catalog/urls.py

4470056464/locallibrary

a3cc25d4987c89bbb52bea670c531438faa6b104

[ "MIT" ]

null

catalog/urls.py

4470056464/locallibrary

a3cc25d4987c89bbb52bea670c531438faa6b104

[ "MIT" ]

null

catalog/urls.py

4470056464/locallibrary

a3cc25d4987c89bbb52bea670c531438faa6b104

[ "MIT" ]

null

from django.conf.urls import url # urlpatterns = [ # url('r^$/',view.), # url('catalog/', include('catalog.urls')), # ]

21.333333

47

0.578125

15

128

4.933333

0.733333

0

0.179688

128

6

48

21.333333

0.704762

0.671875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c51d65e52f281a02e312feb5da4abe882e26063c

5,283

py

Python

UnityEngine/ParticleSystem/EmitParams/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

UnityEngine/ParticleSystem/EmitParams/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

UnityEngine/ParticleSystem/EmitParams/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

from UdonPie import System from UdonPie import UnityEngine from UdonPie.Undefined import * class EmitParams: def __new__(cls, arg1=None): ''' :returns: EmitParams :rtype: UnityEngine.ParticleSystem.EmitParams ''' pass @staticmethod def get_position(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_position(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_applyShapeToPosition(): ''' :returns: Boolean :rtype: System.Boolean ''' pass @staticmethod def set_applyShapeToPosition(arg1): ''' :param arg1: Boolean :type arg1: System.Boolean or bool ''' pass @staticmethod def get_velocity(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_velocity(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_startLifetime(): ''' :returns: Single :rtype: System.Single ''' pass @staticmethod def set_startLifetime(arg1): ''' :param arg1: Single :type arg1: System.Single or float ''' pass @staticmethod def get_startSize(): ''' :returns: Single :rtype: System.Single ''' pass @staticmethod def set_startSize(arg1): ''' :param arg1: Single :type arg1: System.Single or float ''' pass @staticmethod def get_startSize3D(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_startSize3D(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_axisOfRotation(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_axisOfRotation(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_rotation(): ''' :returns: Single :rtype: System.Single ''' pass @staticmethod def set_rotation(arg1): ''' :param arg1: Single :type arg1: System.Single or float ''' pass @staticmethod def get_rotation3D(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_rotation3D(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_angularVelocity(): ''' :returns: Single :rtype: System.Single ''' pass @staticmethod def set_angularVelocity(arg1): ''' :param arg1: Single :type arg1: System.Single or float ''' pass @staticmethod def get_angularVelocity3D(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_angularVelocity3D(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_startColor(): ''' :returns: Color32 :rtype: UnityEngine.Color32 ''' pass @staticmethod def set_startColor(arg1): ''' :param arg1: Color32 :type arg1: UnityEngine.Color32 ''' pass @staticmethod def get_randomSeed(): ''' :returns: UInt32 :rtype: System.UInt32 ''' pass @staticmethod def set_randomSeed(arg1): ''' :param arg1: UInt32 :type arg1: System.UInt32 ''' pass @staticmethod def ResetPosition(): pass @staticmethod def ResetVelocity(): pass @staticmethod def ResetAxisOfRotation(): pass @staticmethod def ResetRotation(): pass @staticmethod def ResetAngularVelocity(): pass @staticmethod def ResetStartSize(): pass @staticmethod def ResetStartColor(): pass @staticmethod def ResetRandomSeed(): pass @staticmethod def ResetStartLifetime(): pass @staticmethod def Equals(arg1): ''' :param arg1: Object :type arg1: System.Object :returns: Boolean :rtype: System.Boolean ''' pass @staticmethod def ToString(): ''' :returns: String :rtype: System.String ''' pass @staticmethod def GetHashCode(): ''' :returns: Int32 :rtype: System.Int32 ''' pass @staticmethod def GetType(): ''' :returns: Type :rtype: System.Type ''' pass

18.154639

53

0.508234

415

5,283

6.39759

0.142169

0.235028

0.279096

0.107721

0.557439

0.506215

0.467797

0.256121

0

0.029099

0.395041

5,283

290

54

18.217241

0.801627

0.286769

0

0.642276

0

1

0.325203

false

0.325203

0.02439

0

0.357724

0

null

1

0

null

0

1

0

1

0

4

c52942057b2469844f26cbd5c8c2a6a41122bec6

60

py

Python

python/testData/breadcrumbs/forElse.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/breadcrumbs/forElse.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/breadcrumbs/forElse.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

for i in range(10): print i else: print "a<caret>bc"

15

22

0.6

12

60

3

0.833333

0

0.045455

0.266667

60

4

22

15

0.772727

0

0.163934

0

null

0

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

c54ca499b8c8b3942ab285c522cbd63dc99de0b1

77

py

Python

abc/abc070/abc070b.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

1

2019-08-21T00:49:34.000Z

abc/abc070/abc070b.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

abc/abc070/abc070b.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

A, B, C, D = map(int, input().split()) print(max(min(B, D) - max(A, C), 0))

19.25

38

0.506494

17

77

2.294118

0.705882

0

0.015873

0.181818

77

3

39

25.666667

0.603175

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

c55e9e18a5e8f494fa05c1d4229fce40ee761c45

321

py

Python

users/models.py

areebbeigh/greenspace-demo

0754f3b50e845bd5e50239361239f9b0b8aba42b

[ "Apache-2.0" ]

1

2020-07-06T05:53:12.000Z

users/models.py

areebbeigh/greenspace-demo

0754f3b50e845bd5e50239361239f9b0b8aba42b

[ "Apache-2.0" ]

1

2020-06-11T15:51:49.000Z

2020-06-11T16:10:31.000Z

users/models.py

areebbeigh/greenspace-demo

0754f3b50e845bd5e50239361239f9b0b8aba42b

[ "Apache-2.0" ]

null

from django.db import models from django.conf import settings from django.contrib.auth.models import AbstractUser class CustomUser(AbstractUser): def __str__(self): return f'User<{self.username}>' def is_nursery_manager(self): return self.groups.filter(name=settings.NURSERY_MGR_GROUP).exists()

29.181818

75

0.757009

43

321

5.465116

0.651163

0.12766

0

0.149533

321

11

75

29.181818

0.860806

0

0.065217

0

1

0.25

false

0

0.375

0.25

1

0

null

0

null

0

1

0

1

0

4

c5675332a20f13651c950223af1eefce83dac1c4

369

py

Python

webtext/api/views/user.py

stricoff92/webtext-analysis

9a6e5637e6695ee4ae68d182bb7a07c4beef7cca

[ "MIT" ]

null

webtext/api/views/user.py

stricoff92/webtext-analysis

9a6e5637e6695ee4ae68d182bb7a07c4beef7cca

[ "MIT" ]

null

webtext/api/views/user.py

stricoff92/webtext-analysis

9a6e5637e6695ee4ae68d182bb7a07c4beef7cca

[ "MIT" ]

null

from rest_framework.decorators import api_view, permission_classes from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from rest_framework import status @api_view(['GET']) @permission_classes([IsAuthenticated]) def get_user_details(request): return Response({'username':request.user.username}, status.HTTP_200_OK)

30.75

75

0.834688

47

369

6.297872

0.489362

0.108108

0.22973

0

0.008876

0.084011

369

11

76

33.545455

0.866864

0

0.029891

0

1

0.125

false

0

0.5

0.125

0.75

0

null

0

1

0

null

0

1

0

4

3da2f41d00945948fe9bf5f735e86c15396158b9

149

py

Python

telemetry-pi/model/Voltage.py

USCSolarCarStrategyTeam/driver-display

a9570f5c7ea98a966f95d6ddc32b88e22e29bd56

[ "Apache-2.0" ]

null

telemetry-pi/model/Voltage.py

USCSolarCarStrategyTeam/driver-display

a9570f5c7ea98a966f95d6ddc32b88e22e29bd56

[ "Apache-2.0" ]

2

2017-11-04T22:44:41.000Z

2018-03-23T02:14:20.000Z

telemetry-pi/model/Voltage.py

USCSolarCarStrategyTeam/telemetry-pi

a9570f5c7ea98a966f95d6ddc32b88e22e29bd56

[ "Apache-2.0" ]

5

2017-10-07T22:54:09.000Z

2018-01-27T21:20:51.000Z

from Metric import Metric class Voltage(Metric): def __init__(self, name, value): Metric.__init__(self, name) self.value = value

24.833333

36

0.671141

19

149

4.842105

0.526316

0.173913

0.26087

0

0.234899

149

5

37

29.8

0.807018

0

1

0.2

false

0

0.2

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

4

3da7a1817cd515873473ac43a15bbb29c4b261e1

73

py

Python

wagtailcommerce/dashboard/__init__.py

theplusagency/wagtail-commerce

6047170f29199ccaf2778534976ab0970c2877e7

[ "BSD-3-Clause" ]

3

2019-04-12T15:38:43.000Z

2019-09-22T10:23:20.000Z

wagtailcommerce/dashboard/__init__.py

wagtailcommerce/wagtailcommerce

308ed8348483806c16062d09a7e69ec44d9a2e73

[ "BSD-3-Clause" ]

null

wagtailcommerce/dashboard/__init__.py

wagtailcommerce/wagtailcommerce

308ed8348483806c16062d09a7e69ec44d9a2e73

[ "BSD-3-Clause" ]

null

default_app_config = 'wagtailcommerce.dashboard.apps.DashboardAppConfig'

36.5

72

0.876712

7

73

8.857143

1

0

0.041096

73

1

73

0.885714

0

0.671233

0

1

0

false

0

1

0

null

0

1

0

1

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3650dc776222288042e9ae5f45e1cf187eda7524

[ "Apache-2.0", "BSD-2-Clause", "MIT", "Apache-1.0", "BSD-3-Clause" ]

19

2015-07-20T13:40:16.000Z

2021-04-10T01:21:20.000Z

test/__init__.py

9999years/license

3650dc776222288042e9ae5f45e1cf187eda7524

[ "Apache-2.0", "BSD-2-Clause", "MIT", "Apache-1.0", "BSD-3-Clause" ]

7

2017-08-18T09:13:43.000Z

2020-10-07T05:56:57.000Z

test/__init__.py

9999years/license

3650dc776222288042e9ae5f45e1cf187eda7524

[ "Apache-2.0", "BSD-2-Clause", "MIT", "Apache-1.0", "BSD-3-Clause" ]

10

2015-09-30T15:13:14.000Z

2021-12-08T15:05:12.000Z

import os import sys init = os.path.abspath(__file__) test = os.path.dirname(init) project = os.path.dirname(test) sys.path.insert(0, project)

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