xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

8805bc2ef3f38bf609ec1e25b51d2872d6b22fd6

190

py

Python

FileManager/ConvertFile.py

lorganthesorn/CryptoArb

292f41cc8fe96473df8c5f67f8e7a5abeadcd692

[ "MIT" ]

null

FileManager/ConvertFile.py

lorganthesorn/CryptoArb

292f41cc8fe96473df8c5f67f8e7a5abeadcd692

[ "MIT" ]

null

FileManager/ConvertFile.py

lorganthesorn/CryptoArb

292f41cc8fe96473df8c5f67f8e7a5abeadcd692

[ "MIT" ]

null

from GetHistory.CrpytoCompare import * #import pandas as pd def hdf5_to_csv(fsym, tsym, exchange, granularity): df = find_history_file(fsym, tsym, exchange, granularity) df.to_csv()

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8811cac7088be85b523623f268311f530cb14dec

76

py

Python

build/lib/geonomics/demos/__init__.py

AnushaPB/geonomics-1

deee0c377e81f509463eaf6f9d0b2f0809f2ddc3

[ "MIT" ]

8

2020-08-27T17:06:04.000Z

2021-09-17T22:55:07.000Z

build/lib/geonomics/demos/__init__.py

AnushaPB/geonomics-1

deee0c377e81f509463eaf6f9d0b2f0809f2ddc3

[ "MIT" ]

null

build/lib/geonomics/demos/__init__.py

AnushaPB/geonomics-1

deee0c377e81f509463eaf6f9d0b2f0809f2ddc3

[ "MIT" ]

2

2020-08-28T23:45:28.000Z

2021-01-25T21:47:40.000Z

from . import _IBD_IBE from . import _simult_select from . import _yosemite

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7151ee421aa4bcedc483815f675f880a930d6e7c

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py

Python

app/admin/__init__.py

mworia-Br/super-sendit

1c7634e679c09fb9392dac9920f49d77f525f7d6

[ "MIT" ]

1

2021-05-22T09:48:30.000Z

app/admin/__init__.py

mworia-Br/super-sendit

1c7634e679c09fb9392dac9920f49d77f525f7d6

[ "MIT" ]

3

2018-10-31T13:21:04.000Z

2021-06-01T23:02:47.000Z

app/admin/__init__.py

mworia-Br/super-sendit

1c7634e679c09fb9392dac9920f49d77f525f7d6

[ "MIT" ]

6

2018-11-12T15:33:29.000Z

2021-07-31T05:48:21.000Z

from flask import Blueprint from .admin_views import * admin_blueprint=Blueprint("admin", __name__)

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716b2536c4e54b188bb932cd8d780d789ec61cf5

148

py

Python

latteys/latteys/doctype/discharge_flow/test_discharge_flow.py

hrgadesha/lattyeys

428b752ac99620ac7ad706fd305f07210bdcb315

[ "MIT" ]

1

2021-09-10T03:51:22.000Z

latteys/latteys/doctype/discharge_flow/test_discharge_flow.py

hrgadesha/lattyeys

428b752ac99620ac7ad706fd305f07210bdcb315

[ "MIT" ]

null

latteys/latteys/doctype/discharge_flow/test_discharge_flow.py

hrgadesha/lattyeys

428b752ac99620ac7ad706fd305f07210bdcb315

[ "MIT" ]

null

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5

716c179e3f07012cc320dbcfab00fc7ec6b5611a

188

py

Python

lrs/tests/testkafka.py

zsh-paradise/whty_ADL_LRS

c027f2c3fb8305cd8c037ff4449e34f4f340d81e

[ "Apache-2.0" ]

null

lrs/tests/testkafka.py

zsh-paradise/whty_ADL_LRS

c027f2c3fb8305cd8c037ff4449e34f4f340d81e

[ "Apache-2.0" ]

null

lrs/tests/testkafka.py

zsh-paradise/whty_ADL_LRS

c027f2c3fb8305cd8c037ff4449e34f4f340d81e

[ "Apache-2.0" ]

null

from kafka import KafkaClient, SimpleProducer, SimpleConsumer #kafka = KafkaClient("10.5.10.249:9092") #producer = SimpleProducer(kafka) #producer.send_messages("test110","Hello world!")

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py

Python

Math Softwares/Softwares/vetores.py

artemis-fx/Math

ee4ad0855910592e706edc9366cee7e886448a25

[ "MIT" ]

null

Math Softwares/Softwares/vetores.py

artemis-fx/Math

ee4ad0855910592e706edc9366cee7e886448a25

[ "MIT" ]

null

Math Softwares/Softwares/vetores.py

artemis-fx/Math

ee4ad0855910592e706edc9366cee7e886448a25

[ "MIT" ]

null

import math from time import sleep while True: print('''[1] Para vetores no PLANO [2] Para vetores no ESPAÇO''') res = int(input('Qual a sua escolha? ')) if res == 1: v1x = float(input('Digite o Valor de X para o Primeiro vetor: ')) v1y = float(input('Digite o Valor de Y para o Primeiro vetor: ')) v2x = float(input('Digite o Valor de X para o Segundo vetor: ')) v2y = float(input('Digite o Valor de Y para o Segundo vetor: ')) modv1 = math.sqrt(v1x**2 + v1y**2) print(modv1) modv2 = math.sqrt(v2x**2 + v2y**2) print(modv2) mot = modv1 * modv2 mv = v1x*v2x + v1y*v2y print(mv) cosseno = mv/mot print(cosseno) coss = math.acos(cosseno) print(f'O Ângulo formado por esses 2 vetores é {math.degrees(coss):.1f}') elif res == 2: v1x = float(input('Digite o Valor de X para o Primeiro vetor: ')) v1y = float(input('Digite o Valor de Y para o Primeiro vetor: ')) v1z = float(input('Digite o Valor de Z para o Primeiro vetor: ')) v2x = float(input('Digite o Valor de X para o Segundo vetor: ')) v2y = float(input('Digite o Valor de Y para o Segundo vetor: ')) v2z = float(input('Digite o Valor de Z para o Segundo vetor: ')) modv1 = math.sqrt(v1x ** 2 + v1y ** 2 + v1z ** 2) print(modv1) modv2 = math.sqrt(v2x ** 2 + v2y ** 2 + v2z ** 2) print(modv2) mot = modv1 * modv2 mv = v1x * v2x + v1y * v2y + v1z * v2z print(mv) cosseno = mv / mot print(cosseno) coss = math.acos(cosseno) print(f'O Ângulo formado por esses 2 vetores é {math.degrees(coss):.1f}') else: print('TENTATIVA ÍNVALIDA TENTE NOVAMENTE!!') con = ' ' while con not in 'SN': con = str(input('Quer continuar? [S/N] ')).upper()[0] if con == 'N': break print('Foi bom tem a sua companhia!') print('ENCERRANDO.....') sleep(3) print('ATÉ MAIS... ')

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718407ea13f1cfd71fbec01a93ca779f26227baa

106

py

Python

egresos/admin.py

jmjacquet/IronWeb

974d7fca8db69ffcfec15325cdb641a1b4b2c526

[ "MIT" ]

null

egresos/admin.py

jmjacquet/IronWeb

974d7fca8db69ffcfec15325cdb641a1b4b2c526

[ "MIT" ]

9

2020-09-22T12:34:00.000Z

2021-09-10T16:32:04.000Z

egresos/admin.py

jmjacquet/IronWeb

974d7fca8db69ffcfec15325cdb641a1b4b2c526

[ "MIT" ]

null

from django.contrib import admin from ggcontable.settings import * from comprobantes.models import *

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5

71927feee78032478023793c35c564e4fc4f6bec

109

py

Python

login.py

strivingwl/test27

32ca08994690fbcb351ee43a8f4759fe1ea59697

[ "MIT" ]

null

login.py

strivingwl/test27

32ca08994690fbcb351ee43a8f4759fe1ea59697

[ "MIT" ]

null

login.py

strivingwl/test27

32ca08994690fbcb351ee43a8f4759fe1ea59697

[ "MIT" ]

null

num=1 <<<<<<< HEAD num=2 num3=333333 ======= num2=2 num3=3 >>>>>>> 43ea9b4f1c40760264dc7c48a304676b9c4d8f23

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5

71d339c99996f14b352012e4d3fa989a56d7b998

65

py

Python

bempy/__init__.py

svetlyak40wt/bempy

ad87982d17c2d14c344d9e3d91a48c37dfb72535

[ "BSD-3-Clause" ]

1

2015-04-29T15:19:45.000Z

bempy/__init__.py

svetlyak40wt/bempy

ad87982d17c2d14c344d9e3d91a48c37dfb72535

[ "BSD-3-Clause" ]

null

bempy/__init__.py

svetlyak40wt/bempy

ad87982d17c2d14c344d9e3d91a48c37dfb72535

[ "BSD-3-Clause" ]

1

2019-06-10T16:08:54.000Z

from .blocks import block, ImmediateResponse, b, context_blocks

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e0a2c76421983c4525ce292a1268208a9d1a1b27

175

py

Python

qore/algorithms/__init__.py

HaoTy/qore

2d866615bb05c5b8a5d6f6c7a2c1ca1008e7851b

[ "BSD-3-Clause" ]

null

qore/algorithms/__init__.py

HaoTy/qore

2d866615bb05c5b8a5d6f6c7a2c1ca1008e7851b

[ "BSD-3-Clause" ]

null

qore/algorithms/__init__.py

HaoTy/qore

2d866615bb05c5b8a5d6f6c7a2c1ca1008e7851b

[ "BSD-3-Clause" ]

null

from .asp import ASP from .pseudoflow import Pseudoflow from qiskit.algorithms import QAOA, VQE, NumPyMinimumEigensolver as ExactDiagonalization from .peps_ite import PEPSITE

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e0b0017e45314c6504e272b696691e4e4fd1acfe

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py

Python

tests/validate_config_test.py

bnemanich/open-ce

df79cdb0779814d6500cc1f7d19b376b7cce3c90

[ "Apache-2.0" ]

null

tests/validate_config_test.py

bnemanich/open-ce

df79cdb0779814d6500cc1f7d19b376b7cce3c90

[ "Apache-2.0" ]

null

tests/validate_config_test.py

bnemanich/open-ce

df79cdb0779814d6500cc1f7d19b376b7cce3c90

[ "Apache-2.0" ]

null

# ***************************************************************** # # Licensed Materials - Property of IBM # # (C) Copyright IBM Corp. 2020. All Rights Reserved. # # US Government Users Restricted Rights - Use, duplication or # disclosure restricted by GSA ADP Schedule Contract with IBM Corp. # # ***************************************************************** import sys import os import pathlib import pytest import imp test_dir = pathlib.Path(__file__).parent.absolute() sys.path.append(os.path.join(test_dir, '..', 'open-ce')) import helpers open_ce = imp.load_source('open_ce', os.path.join(test_dir, '..', 'open-ce', 'open-ce')) import validate_config from errors import OpenCEError def test_validate_config(mocker): ''' This is a complete test of `validate_config`. ''' dirTracker = helpers.DirTracker() mocker.patch( 'os.mkdir', return_value=0 #Don't worry about making directories. ) mocker.patch( 'os.system', return_value=0 ) mocker.patch( 'utils.run_command_capture', side_effect=(lambda x: helpers.validate_cli(x, expect=["conda create --dry-run", "upstreamdep1 2.3.*", "upstreamdep2 2.*"], reject=["package"], #No packages from the env files should show up in the create command. retval=[True, "", ""])) ) mocker.patch( 'os.getcwd', side_effect=dirTracker.mocked_getcwd ) mocker.patch( 'os.chdir', side_effect=dirTracker.validate_chdir ) package_deps = {"package11": ["package15"], "package12": ["package11"], "package13": ["package12", "package14"], "package14": ["package15", "package16"], "package15": [], "package16": ["package15"], "package21": ["package13"], "package22": ["package21"]} mocker.patch( 'conda_build.api.render', side_effect=(lambda path, *args, **kwargs: helpers.mock_renderer(os.getcwd(), package_deps)) ) env_file = os.path.join(test_dir, 'test-env2.yaml') open_ce._main(["validate", validate_config.COMMAND, "--conda_build_config", "./conda_build_config.yaml", env_file, "--python_versions", "3.6", "--build_types", "cuda"]) def test_validate_negative(mocker): ''' This is a negative test of `validate_config` where the dry-run fails. ''' dirTracker = helpers.DirTracker() mocker.patch( 'os.mkdir', return_value=0 #Don't worry about making directories. ) mocker.patch( 'os.system', return_value=0 ) mocker.patch( 'utils.run_command_capture', side_effect=(lambda x: helpers.validate_cli(x, expect=["conda create --dry-run", "upstreamdep1 2.3.*", #Checks that the value from the default config file is used. "external_dep1", # Checks that the external dependencies were used. "external_dep2 5.2.*", # Checks that the external dependencies were used. "external_dep3=5.6.*"], # Checks that the external dependencies were used. reject=["package"], retval=[False, "", ""])) ) mocker.patch( 'os.getcwd', side_effect=dirTracker.mocked_getcwd ) mocker.patch( 'os.chdir', side_effect=dirTracker.validate_chdir ) package_deps = {"package11": ["package15"], "package12": ["package11"], "package13": ["package12", "package14"], "package14": ["package15", "package16"], "package15": [], "package16": ["package15"], "package21": ["package13"], "package22": ["package21"]} mocker.patch( 'conda_build.api.render', side_effect=(lambda path, *args, **kwargs: helpers.mock_renderer(os.getcwd(), package_deps)) ) env_file = os.path.join(test_dir, 'test-env2.yaml') with pytest.raises(OpenCEError) as err: open_ce._main(["validate", validate_config.COMMAND, "--conda_build_config", "./conda_build_config.yaml", env_file, "--python_versions", "3.6", "--build_types", "cuda"]) assert "Error validating \"./conda_build_config.yaml\" for " in str(err.value) assert "Dependencies are not compatible.\nCommand:\nconda create" in str(err.value) def test_validate_bad_env(mocker): ''' This is a negative test of `validate_config` where the env file is bad. ''' dirTracker = helpers.DirTracker() mocker.patch( 'os.mkdir', return_value=0 #Don't worry about making directories. ) mocker.patch( 'os.system', return_value=0 ) mocker.patch( 'os.getcwd', side_effect=dirTracker.mocked_getcwd ) mocker.patch( 'os.chdir', side_effect=dirTracker.validate_chdir ) package_deps = {"package11": ["package15"], "package12": ["package11"], "package13": ["package12", "package14"], "package14": ["package15", "package16"], "package15": [], "package16": ["package15"], "package21": ["package13"], "package22": ["package21"]} mocker.patch( 'conda_build.api.render', side_effect=(lambda path, *args, **kwargs: helpers.mock_renderer(os.getcwd(), package_deps)) ) env_file = os.path.join(test_dir, 'test-env-invalid1.yaml') with pytest.raises(OpenCEError) as err: open_ce._main(["validate", validate_config.COMMAND, "--conda_build_config", "./conda_build_config.yaml", env_file, "--python_versions", "3.6", "--build_types", "cuda"]) assert "Error validating \"./conda_build_config.yaml\" for " in str(err.value) assert "Unexpected key chnnels was found in " in str(err.value)

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178

py

Python

src/vimpdb/errors.py

dtrckd/vimpdb

1171938751127d23f66f6b750dd79166c64bdf20

[ "MIT" ]

110

2015-01-11T06:50:42.000Z

2021-07-07T20:08:39.000Z

src/vimpdb/errors.py

dtrckd/vimpdb

1171938751127d23f66f6b750dd79166c64bdf20

[ "MIT" ]

8

2015-06-03T10:23:41.000Z

2021-05-06T15:25:47.000Z

src/vimpdb/errors.py

dtrckd/vimpdb

1171938751127d23f66f6b750dd79166c64bdf20

[ "MIT" ]

24

2015-03-03T16:35:12.000Z

2022-01-19T16:24:06.000Z

class BadRCFile(Exception): pass class ReturnCodeError(Exception): pass class BrokenConfiguration(Exception): pass class RemoteUnavailable(Exception): pass

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py

Python

functions/notification/repositories.py

tomdewildt/ada

f9800c023ac8b70584b0d2a27a6b4f3b09acc3d9

[ "MIT" ]

null

functions/notification/repositories.py

tomdewildt/ada

f9800c023ac8b70584b0d2a27a6b4f3b09acc3d9

[ "MIT" ]

2

2022-03-19T20:42:43.000Z

2022-03-19T20:57:41.000Z

functions/notification/repositories.py

tomdewildt/ada

f9800c023ac8b70584b0d2a27a6b4f3b09acc3d9

[ "MIT" ]

1

2022-03-23T21:18:58.000Z

class NotificationPrintRepository: def __init__(self): pass def send_notification(self, message): print(message)

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460d2e52b2fb51da4b0162652003424975714004

66

py

Python

what_is_the_name_main_in_python/demo2.py

NightmareQAQ/python-notes

4e766be06073a495ff9654f0dd8c0bb03310c559

[ "MIT" ]

106

2017-05-02T10:25:50.000Z

2022-03-23T14:57:28.000Z

what_is_the_name_main_in_python/demo2.py

NightmareQAQ/python-notes

4e766be06073a495ff9654f0dd8c0bb03310c559

[ "MIT" ]

2

2021-01-14T15:07:15.000Z

2021-12-21T07:18:05.000Z

what_is_the_name_main_in_python/demo2.py

NightmareQAQ/python-notes

4e766be06073a495ff9654f0dd8c0bb03310c559

[ "MIT" ]

42

2017-07-31T07:07:38.000Z

2021-12-26T09:36:55.000Z

from demo1 import a1_func print('demo2.py is called') a1_func()

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Python

maskrcnn_benchmark/utils/visual.py

SIAAAAAA/MMT-PSM

0835c01c5010d3337778f452e9d96416e0f8a11a

[ "MIT" ]

41

2020-07-22T03:55:08.000Z

2022-02-27T12:04:41.000Z

maskrcnn_benchmark/utils/visual.py

SIAAAAAA/MMT-PSM

0835c01c5010d3337778f452e9d96416e0f8a11a

[ "MIT" ]

5

2020-11-08T08:47:34.000Z

2021-07-09T03:53:42.000Z

maskrcnn_benchmark/utils/visual.py

SIAAAAAA/MMT-PSM

0835c01c5010d3337778f452e9d96416e0f8a11a

[ "MIT" ]

5

2020-10-13T11:09:53.000Z

2021-07-28T12:41:53.000Z

import cv2 import sys import os sys.path.append('..') import numpy as np from maskrcnn_benchmark.structures.bounding_box import BoxList from preprocess.colors import get_colors from maskrcnn_benchmark.structures.image_list import ImageList from maskrcnn_benchmark.structures.segmentation_mask import SegmentationMask, Polygons from maskrcnn_benchmark.structures.bounding_box import BoxList from pycocotools import mask as maskUtils import openslide as ops import random import itertools from maskrcnn_benchmark.utils.miscellaneous import maskToPolygons import pdb def vis_bbox(bboxlist, imagelist, normalize = [102.9801, 115.9465, 122.7717] ): if isinstance(imagelist, ImageList): images = [] for i, bbox in enumerate(bboxlist): if bbox.mode != 'xyxy': bbox = bbox.convert('xyxy') image = imagelist.tensors[i].numpy() image = np.squeeze(image) image = np.transpose(image,(1,2,0)) image +=normalize image = image.copy() for j in range(bbox.bbox.shape[0]): box_coordinate = bbox.bbox[j].numpy().astype(np.int32) color = get_colors(j) image = cv2.rectangle(image,tuple(box_coordinate[:2]),tuple(box_coordinate[2:]), color=color.tuple(),thickness=3) images.append(image) else: bbox = bboxlist image = imagelist if bbox.mode != 'xyxy': bbox = bbox.convert('xyxy') image = image.copy() for j in range(bbox.bbox.shape[0]): box_coordinate = bbox.bbox[j].numpy().astype(np.int32) color = get_colors(j) image = cv2.rectangle(image, tuple(box_coordinate[:2]), tuple(box_coordinate[2:]), color=color.tuple(), thickness=3) images =cv2.cvtColor(image, cv2.COLOR_BGR2RGB) return images def vis_mask(masklist, image, normalize =[102.9801, 115.9465, 122.7717] ): if isinstance(masklist, SegmentationMask): for i, polygon in enumerate(SegmentationMask): poly = polygon[0].polygons mask = np.asarray(poly[0]) mask = np.reshape(mask, (int(len(mask) / 2), 2)).astype( np.int32) color = get_colors(i) image = np.asarray(image) cv2.polylines(np.asarray(image), [mask], 1, color.tuple(), 3) image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) else: for j, mask in enumerate(masklist): mask = np.asarray(mask[0]) mask = np.reshape(mask,(int(len(mask)/2),2)).astype(np.int32) color = get_colors(j) image = np.asarray(image) cv2.polylines(np.asarray(image),[mask], 1, color.tuple(),3) image =cv2.cvtColor(image, cv2.COLOR_BGR2RGB) return image def vis_predict(dataset, gt, dt, name, show_gt =True): # input: list of dicts def convert_to_np(x): rle = x['segmentation'] arr = maskUtils.decode(rle) return arr dt = map(convert_to_np, dt) name, w, h = name.split('~') # img = dataset._imgpath%name img = os.path.join(dataset.root, name + '.png' ) img = ops.open_slide(img) img = img.read_region((int(w),int(h)), 0, (dataset.maxWS, dataset.maxWS)).convert("RGB") img = np.asarray(img) canvas = np.zeros_like(img, dtype = np.uint8) for idx, d in enumerate(dt): if d.shape != (1000, 1000): import pdb; pdb.set_trace() r,g,b = get_colors(idx) canvas[:, :, 0] = canvas[:, :, 0] + b * d canvas[:, :, 1] = canvas[:, :, 1] + g * d canvas[:, :, 2] = canvas[:, :, 2] + r * d canvas2 = np.zeros_like(img, dtype = np.uint8) if show_gt: gt = map(convert_to_np, gt) for idx, ins in enumerate(gt): if ins.shape != (1000, 1000): import pdb; pdb.set_trace() r, g, b = get_colors(idx ) canvas2[:, :, 0] = canvas2[:, :, 0] + b * ins canvas2[:, :, 1] = canvas2[:, :, 1] + g * ins canvas2[:, :, 2] = canvas2[:, :, 2] + r * ins img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR) add_img = cv2.addWeighted(img,0.5, canvas,0.5,0 ) add_img2 = cv2.addWeighted(img,0.5, canvas2,0.5,0 ) return add_img,add_img2 # def vis_mask(masklist, imagelist, normalize =[102.9801, 115.9465, 122.7717] ): # if isinstance(masklist, SegmentationMask): # for i, polygon in enumerate(SegmentationMask): # poly = polygon[0].convert('mask') # # # else: # image = imagelist # for j, mask in enumerate(masklist): # mask = np.asarray(mask[0]) # mask = np.reshape(mask,(int(len(mask)/2),2)).astype(np.int32) # color = get_colors(j) # image = np.asarray(image) # cv2.polylines(np.asarray(image),[mask], 1, color.tuple(),3) # image =cv2.cvtColor(image, cv2.COLOR_BGR2RGB) # # return image def display_instance(dataset, image_name, gt, dt ,show_masks = False, show_bbox = True, show_gt = True, alpha = 0.5, show_caption = True ): ''' :param image: h,w,c :param dt, gt : dict :param title: (optional) Figure title :param figsize:(optional) the size of the image :param color: (optional) An array or colors to use with each object :param captions:(optional) A list of strings to use as captions for each object :return: ''' # input: list of dicts def convert_seg_to_np(x): rle = x['segmentation'] arr = maskUtils.decode(rle) return arr seg_dt = list(map(convert_seg_to_np, dt)) name, w, h = image_name.split('~') # img = dataset._imgpath%name try: img = os.path.join(dataset.root, name + '.png') img = ops.open_slide(img) except: img = os.path.join(dataset.root,'image', name + '.png') img = ops.open_slide(img) # pdb.set_trace() # img = img.read_region(0, 0, 0, (3152, 2760)).convert("RGB") img = img.read_region((int(w),int(h)), 0, (dataset.maxWS, dataset.maxWS)).convert("RGB") img = np.asarray(img) img1 = cv2.cvtColor(img, cv2.COLOR_RGB2BGR) img2 = img1.copy() # canvas = np.zeros_like(img, dtype = np.uint8) # 1. draw masks # pdb.set_trace() if show_masks: for idx, d in enumerate(seg_dt): r,g,b = get_colors(idx) # visualize masks # convert list to numpy img1[:, :, 0] = img1[:, :, 0] * ( d == 0 ) + ( d > 0 ) * ((b * d * alpha) + img1[:, :, 0] * (1 - alpha)) img1[:, :, 1] = img1[:, :, 1] * ( d == 0 ) + ( d > 0 ) * ((g * d * alpha) + img1[:, :, 1] * (1 - alpha)) img1[:, :, 2] = img1[:, :, 2] * ( d == 0 ) + ( d > 0 ) * ((r * d * alpha) + img1[:, :, 2] * (1 - alpha)) # 2. show others # pdb.set_trace() for idx, d in enumerate(seg_dt): r,g,b = get_colors(idx) # visualize masks contour_list = maskToPolygons(d) cv2.polylines(img1, contour_list, True, (b,g,r), thickness= 1) if show_bbox: bbox = dt[idx]['bbox'] cv2.rectangle(img1, (round(bbox[0]),round( bbox[1])), (round(bbox[2]), round(bbox[3])), (b,g,r), thickness= 1) # add information class_id = dt[idx]['category_id'][0] score = dt[idx]['score'] if show_caption: x = random.randint(int(bbox[1]), round((bbox[1] + bbox[3])/2)) caption = "{} {:.3f}".format(class_id, score) cv2.putText(img1, caption, (round(bbox[0]), x), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (b,g,r),1, cv2.LINE_AA ) # canvas2 = np.zeros_like(img, dtype = np.uint8) # img2 = None if show_gt: # 1. show masks pdb.set_trace() seg_gt = list(map(convert_seg_to_np, gt)) if show_masks: for idx, ins in enumerate(seg_gt): r, g, b = get_colors(idx ) img2[:, :, 0] =img2[:, :, 0] * ( ins == 0 ) + ( ins > 0 ) * ((b * ins * alpha) + img2[:, :, 0] * (1 - alpha)) img2[:, :, 1] =img2[:, :, 1] * ( ins == 0 ) + ( ins > 0 ) * ((g * ins * alpha) + img2[:, :, 1] * (1 - alpha)) img2[:, :, 2] =img2[:, :, 2] * ( ins == 0 ) + ( ins > 0 ) * ((r * ins * alpha) + img2[:, :, 2] * (1 - alpha)) # 2. show others for idx, ins in enumerate(seg_gt): r, g, b = get_colors(idx) contour_list = maskToPolygons(ins) cv2.polylines(img2, contour_list, True, (b,g,r), thickness=2) if show_bbox: bbox = gt[idx]['bbox'] cv2.rectangle(img2, (round(bbox[0]), round(bbox[1])), (round(bbox[2]), round(bbox[3])), (b,g,r), thickness=3) x = random.randint(int(bbox[1]), round((bbox[1] + bbox[3]) / 2)) class_id = gt[idx]['category_id'][0] caption = "{}".format(class_id) cv2.putText(img2, caption, (round(bbox[0]), x), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (b,g,r),2, cv2.LINE_AA) return img1,img2 def visualize_pseudo_label(mask, image, alpha = 0.5): RLES=[] for segm in mask.polygons: rles = maskUtils.frPyObjects( [p.numpy() for p in segm.polygons], 800, 800 ) rle = maskUtils.merge(rles) RLES.append(rle) for idx, cyto in enumerate(RLES): cyto_mask = maskUtils.decode(cyto) r, g, b = get_colors(int(2 * idx)) image[:, :, 0] = image[:, :, 0] * (cyto_mask == 0) + (cyto_mask > 0) * ( (b * alpha) + image[:, :, 0] * (1 - alpha)) image[:, :, 1] = image[:, :, 1] * (cyto_mask == 0) + (cyto_mask > 0) * ( (g * alpha) + image[:, :, 1] * (1 - alpha)) image[:, :, 2] = image[:, :, 2] * (cyto_mask == 0) + (cyto_mask > 0) * ( (r * alpha) + image[:, :, 2] * (1 - alpha)) return image def display_instance_gen_rle(image, cyto_list, nuclei_list, alpha = 0.5): h, w, _ = image.shape for idx, cyto in enumerate(cyto_list): cyto_mask = maskUtils.decode(cyto) r, g, b = get_colors(int(2 * idx)) image[:, :, 0] = image[:, :, 0] * (cyto_mask == 0) + (cyto_mask > 0) * ( (b * alpha) + image[:, :, 0] * (1 - alpha)) image[:, :, 1] = image[:, :, 1] * (cyto_mask == 0) + (cyto_mask > 0) * ( (g * alpha) + image[:, :, 1] * (1 - alpha)) image[:, :, 2] = image[:, :, 2] * (cyto_mask == 0) + (cyto_mask > 0) * ( (r * alpha) + image[:, :, 2] * (1 - alpha)) for idx, cyto in enumerate(nuclei_list): cyto_mask = maskUtils.decode(cyto) r, g, b = get_colors(int(2 * idx + 1)) image[:, :, 0] = image[:, :, 0] * (cyto_mask == 0) + (cyto_mask > 0) * ( (b * alpha) + image[:, :, 0] * (1 - alpha)) image[:, :, 1] = image[:, :, 1] * (cyto_mask == 0) + (cyto_mask > 0) * ( (g * alpha) + image[:, :, 1] * (1 - alpha)) image[:, :, 2] = image[:, :, 2] * (cyto_mask == 0) + (cyto_mask > 0) * ( (r * alpha) + image[:, :, 2] * (1 - alpha)) return image def display_instance_gen(image, cyto_list, nuclei_list, alpha = 0.5): h, w, _ = image.shape for idx, cyto in enumerate(cyto_list): cyto_mask = np.array(cyto, np.int) cyto_mask = [list(itertools.chain.from_iterable(cyto_mask.tolist()))] cyto_mask = maskUtils.frPyObjects(cyto_mask, h, w) cyto_mask = maskUtils.decode(cyto_mask[0]) r, g, b = get_colors(int(2 * idx)) image[:, :, 0] = image[:, :, 0] * (cyto_mask == 0) + (cyto_mask > 0) * ((b* alpha) + image[:, :, 0] * (1 - alpha)) image[:, :, 1] = image[:, :, 1] * (cyto_mask == 0) + (cyto_mask > 0) * ((g* alpha) + image[:, :, 1] * (1 - alpha)) image[:, :, 2] = image[:, :, 2] * (cyto_mask == 0) + (cyto_mask > 0) * ((r* alpha) + image[:, :, 2] * (1 - alpha)) for idx, cyto in enumerate(nuclei_list): cyto_mask = np.array(cyto, np.int) cyto_mask = [list(itertools.chain.from_iterable(cyto_mask.tolist()))] cyto_mask = maskUtils.frPyObjects(cyto_mask, h, w) cyto_mask = maskUtils.decode(cyto_mask[0]) r, g, b = get_colors(int(2 * idx + 1)) image[:, :, 0] = image[:, :, 0] * (cyto_mask == 0) + (cyto_mask > 0) * ((b* alpha) + image[:, :, 0] * (1 - alpha)) image[:, :, 1] = image[:, :, 1] * (cyto_mask == 0) + (cyto_mask > 0) * ((g* alpha) + image[:, :, 1] * (1 - alpha)) image[:, :, 2] = image[:, :, 2] * (cyto_mask == 0) + (cyto_mask > 0) * ((r* alpha) + image[:, :, 2] * (1 - alpha)) return image # for cyto in cyto_list: # cyto_mask = np.array(cyto, np.int) # cyto_mask = list(itertools.chain.from_iterable(cyto_mask.tolist())) # cyto_rle.append() def display_instance_dt(dataset, image_name, dt, show_masks=True, show_bbox=True, alpha=0.5, show_caption=True): ''' :param image: h,w,c :param dt, gt : dict :param title: (optional) Figure title :param figsize:(optional) the size of the image :param color: (optional) An array or colors to use with each object :param captions:(optional) A list of strings to use as captions for each object :return: ''' # input: list of dicts def convert_seg_to_np(x): rle = x['segmentation'] arr = maskUtils.decode(rle) return arr seg_dt = list(map(convert_seg_to_np, dt)) name, w, h = image_name.split('~') # img = dataset._imgpath%name img = os.path.join(dataset.root, name ) img1 = cv2.imread(img) # canvas = np.zeros_like(img, dtype = np.uint8) # 1. draw masks if show_masks: for idx, d in enumerate(seg_dt): r, g, b = get_colors(idx) # visualize masks # convert list to numpy img1[:, :, 0] = img1[:, :, 0] * (d == 0) + (d > 0) * ((b * d * alpha) + img1[:, :, 0] * (1 - alpha)) img1[:, :, 1] = img1[:, :, 1] * (d == 0) + (d > 0) * ((g * d * alpha) + img1[:, :, 1] * (1 - alpha)) img1[:, :, 2] = img1[:, :, 2] * (d == 0) + (d > 0) * ((r * d * alpha) + img1[:, :, 2] * (1 - alpha)) # 2. show others for idx, d in enumerate(seg_dt): r, g, b = get_colors(idx) # visualize masks contour_list = maskToPolygons(d) cv2.polylines(img1, contour_list, True, (b, g, r), thickness=1) if show_bbox: bbox = dt[idx]['bbox'] cv2.rectangle(img1, (round(bbox[0]), round(bbox[1])), (round(bbox[2]), round(bbox[3])), (b, g, r), thickness=1) # add information class_id = dt[idx]['category_id'][0] score = dt[idx]['score'] if show_caption: x = random.randint(int(bbox[1]), round((bbox[1] + bbox[3]) / 2)) caption = "{} {:.3f}".format(class_id, score) cv2.putText(img1, caption, (round(bbox[0]), x), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (b, g, r), 2, cv2.LINE_AA) # canvas2 = np.zeros_like(img, dtype = np.uint8) return img1

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5

1cbd51c57d7db2b5bd58d18dacdbcb877fb9b05f

175

py

Python

patronage/admin.py

phildini/django-patronage

b6262a359251a188809f977a3733f1663cb400b3

[ "Apache-2.0" ]

6

2018-08-21T04:03:25.000Z

2021-01-29T05:51:13.000Z

patronage/admin.py

phildini/django-patronage

b6262a359251a188809f977a3733f1663cb400b3

[ "Apache-2.0" ]

1

2021-06-01T22:40:57.000Z

patronage/admin.py

phildini/django-patronage

b6262a359251a188809f977a3733f1663cb400b3

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Tier, UserTier, RemoteBenefit admin.site.register(Tier) admin.site.register(UserTier) admin.site.register(RemoteBenefit)

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1cdfbed2cfe0a5ff3494699f3cc851f4bb2dee87

386

py

Python

tasks/result.py

karthik25/easyApi

46e5c3ce1d4c86b7c06c1751688bb8648e00c4de

[ "MIT" ]

null

tasks/result.py

karthik25/easyApi

46e5c3ce1d4c86b7c06c1751688bb8648e00c4de

[ "MIT" ]

null

tasks/result.py

karthik25/easyApi

46e5c3ce1d4c86b7c06c1751688bb8648e00c4de

[ "MIT" ]

null

import result import json from tasks.task import Task class Result(Task): def __init__(self): pass @staticmethod def handles(): return "result" def run(self, args): if result.Result.result_type == "application/json": print(json.dumps(result.Result.last_result, indent=4)) else: print(result.Result.last_result)

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1cfdd53cae50eca478a5d83a5d0aaeab820e9916

4,124

py

Python

RL/one_agent/pyscripts/trainDQN.py

ds-kiel/dimmer

506b3ae1143201cc76c463f140774febd9df4946

[ "BSD-3-Clause" ]

null

RL/one_agent/pyscripts/trainDQN.py

ds-kiel/dimmer

506b3ae1143201cc76c463f140774febd9df4946

[ "BSD-3-Clause" ]

null

RL/one_agent/pyscripts/trainDQN.py

ds-kiel/dimmer

506b3ae1143201cc76c463f140774febd9df4946

[ "BSD-3-Clause" ]

1

2022-02-20T07:42:30.000Z

import sys, threading, multiprocessing, time, os import gym import gym_dimmer import gym_dimmer.envs.utils.glossai_utils as glossai_utils import gym_dimmer.envs.utils.dimmer_nn from gym_dimmer.envs.utils.Dispatcher import Dispatcher from baselines import deepq import numpy as np from baselines.common.models import register def train(testbed, instance_name, k_worst_nodes, history_size, instance_id): instance = f"{instance_name}_{testbed}_k_{k_worst_nodes}_history_{history_size}_reward_constant_30_instance_{instance_id}" dispatcher = Dispatcher(testbed, use_traces = True, one_agent_per_node = False, use_randomized_order = False, use_randomized_value_at_beginning_of_episode = False) time.sleep(2) dispatcher.daemon = True dispatcher.start() kwargs = {"testbed":testbed, "k_worst_nodes_len":k_worst_nodes, "history_len":history_size} env = gym.make(f"CentralizedControl-v0", **kwargs) act, _ = deepq.learn( env, network='dimmer_deepq_network', lr=5e-4, total_timesteps=200000, exploration_fraction=0.7, exploration_final_eps=0.01, print_freq=100, discount_factor=0.7, dueling=False, checkpoint_freq=1000, ) glossai_utils.log_warning("Saving model") act.save(f"../models/evaluation/{instance}.pkl") glossai_utils.log_success("Saved!") dispatcher.stop() if __name__ == '__main__': glossai_utils.log_warning("The K (worst_nodes) and History size must be set manually in gyms/[]...]/CentralizedControl !") # params testbed = "kiel" instance_name = "dqn" k_worst_nodes = 10 history_size = 5 # check all existing instance IDs, try to get a new one i = 0 found = True while found: found = os.path.exists(f"../models/evaluation/{instance_name}_{testbed}_k_{k_worst_nodes}_history_{history_size}_instance_{i}.pkl") i+=1 i -=1 instance_id = i glossai_utils.log_success(f"Training model named ../models/evaluation/{instance_name}_{testbed}_k_{k_worst_nodes}_history_{history_size}_instance_{i}.pkl") train(testbed, instance_name, k_worst_nodes, history_size, instance_id) # import sys # import threading # import multiprocessing # import time # import gym # import gym_dimmer # import gym_dimmer.envs.utils.glossai_utils as glossai_utils # import gym_dimmer.envs.utils.dimmer_nn # from gym_dimmer.envs.utils.Dispatcher import Dispatcher # from baselines import deepq # import numpy as np # from baselines.common.models import register # tot_rew = [] # def save_reward(lcl, _glb): # tot_rew.append(lcl['episode_rewards'][-1]) # return False # continue training # def main(input_size): # TESTBED = "kiel" # LEARNING_INSTANCE_ID = f"nn_centralized_control_{input_size}_inpt_20_neurons_relu_instance_17" # dispatcher = Dispatcher(TESTBED, # use_traces = True, # one_agent_per_node = False, # use_randomized_order = False, # use_randomized_value_at_beginning_of_episode = False) # time.sleep(2) # dispatcher.daemon = True # dispatcher.start() # kwargs = {"testbed":testbed, "k_worst_nodes_len":k_worst_nodes, "history_len":history_size} # env = gym.make(f"CentralizedControl-v0", **kwargs) # act, dbg = deepq.learn( # env, # network='dimmer_deepq_network', # lr=5e-4, # total_timesteps=200000, # exploration_fraction=0.7, # exploration_final_eps=0.01, # print_freq=100, # discount_factor=0.7, # dueling=False, # callback=save_reward, # checkpoint_freq=1000, # ) # glossai_utils.log_warning("Saving model") # act.save("../models/{}/{}/{}.pkl".format(TESTBED, LEARNING_INSTANCE_ID, TESTBED)) # glossai_utils.log_success("Saved!") # dispatcher.stop() # if __name__ == '__main__': # main(int(sys.argv[1]))

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0

null

0

5

e82d8f5dc89e59465033f369aee7a7cf942bd5cb

302

py

Python

ImageSaver/src/deserializer.py

SvenSommer/LegoSorter.BrickRecognition

1a653b597c3902f3c042182c414640eeaafcca87

[ "MIT" ]

null

ImageSaver/src/deserializer.py

SvenSommer/LegoSorter.BrickRecognition

1a653b597c3902f3c042182c414640eeaafcca87

[ "MIT" ]

null

ImageSaver/src/deserializer.py

SvenSommer/LegoSorter.BrickRecognition

1a653b597c3902f3c042182c414640eeaafcca87

[ "MIT" ]

null

from Models.messages.predictedImagesMessage import PredictedImagesMessage from RabbitMq.src.serializer import deserializeMessage def deserialize_predicted_images_message(body: str) -> PredictedImagesMessage: predicted_images_message = deserializeMessage(body) return predicted_images_message

37.75

78

0.864238

29

302

8.758621

0.586207

0.177165

0.259843

0

0.092715

302

7

79

43.142857

0.927007

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e830080c62ce8e1ec28f0fa56e4a72c3b8620102

56

py

Python

hordak/models/__init__.py

audience-platform/django-hordak

aa3a18438136a020794b1c0b10603dd78fa7aa76

[ "MIT" ]

187

2016-12-12T10:58:11.000Z

2022-03-27T08:14:19.000Z

hordak/models/__init__.py

audience-platform/django-hordak

aa3a18438136a020794b1c0b10603dd78fa7aa76

[ "MIT" ]

62

2016-12-10T00:12:47.000Z

2022-03-16T09:23:05.000Z

hordak/models/__init__.py

audience-platform/django-hordak

aa3a18438136a020794b1c0b10603dd78fa7aa76

[ "MIT" ]

47

2016-12-12T11:07:31.000Z

2022-03-15T20:30:07.000Z

from .core import * from .statement_csv_import import *

18.666667

35

0.785714

8

56

5.25

0.625

0

0.142857

56

2

36

28

0.875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1c26248c9cf1b1d77b6c707e945c9ef088cf3407

149

py

Python

ErrorDefine.py

Wenqi-Zhu/Wavedance

039566360970581e70eabdce7410403cf88a8c20

[ "MIT" ]

1

2020-01-15T14:16:39.000Z

ErrorDefine.py

Wenqi-Zhu/Wavedance

039566360970581e70eabdce7410403cf88a8c20

[ "MIT" ]

null

ErrorDefine.py

Wenqi-Zhu/Wavedance

039566360970581e70eabdce7410403cf88a8c20

[ "MIT" ]

null

class SimulatorError(Exception): pass class ConvergenceError(Exception): pass class CircuitParameterError(Exception): pass

13.545455

40

0.704698

12

149

8.75

0.5

0.371429

0.342857

0

0.234899

149

10

41

14.9

0.921053

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

1c27ed1ca879fe27a48d1fbcdec6584a889a51f4

78

py

Python

src/dssp/__init__.py

hassnabdl/Helix-Analysis-Program

6383b132aefb4f0f51965d1812b59625ba35dab2

[ "MIT" ]

1

2021-05-12T20:28:08.000Z

src/dssp/__init__.py

hassnabdl/Helix-Analysis-Program

6383b132aefb4f0f51965d1812b59625ba35dab2

[ "MIT" ]

1

2021-05-14T09:12:29.000Z

2021-05-20T14:14:49.000Z

src/dssp/__init__.py

hassnabdl/Helix-Analysis-Program

6383b132aefb4f0f51965d1812b59625ba35dab2

[ "MIT" ]

1

2021-05-20T14:38:31.000Z

from .dssp import DSSP from .hbonds import find_hbonds from .. import common

15.6

31

0.782051

12

78

5

0.5

0

0.166667

78

4

32

19.5

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1c407ce22b0188d626bd19f8a9dfb9016f55a632

652

py

Python

samples/iris/iris/evaluation/evaluation_result.py

katyamust/ml-expr-fw

5ede3ff1f777430cf25e8731e4798fc37387fb9d

[ "MIT" ]

1

2022-03-06T21:52:01.000Z

samples/iris/iris/evaluation/evaluation_result.py

omri374/FabricML

a545f1ee907b1b89ca9766a873c5944ec88e54e9

[ "MIT" ]

null

samples/iris/iris/evaluation/evaluation_result.py

omri374/FabricML

a545f1ee907b1b89ca9766a873c5944ec88e54e9

[ "MIT" ]

null

from abc import abstractmethod from typing import Dict from iris import LoggableObject class EvaluationResult(LoggableObject): """ Class which holds the evaluation output for one model run. For example, precision or recall, MSE, accuracy etc. """ @abstractmethod def get_metrics(self) -> Dict: """ Return the evaluation result's metrics you wish to be stored in the experiment logging system :return: A dictionary with names of values of metrics to store """ pass def get_params(self): # Evaluation results are not likely to have params, just metrics return None

27.166667

101

0.684049

83

652

5.349398

0.698795

0.085586

0

0.263804

652

23

102

28.347826

0.925

0.509202

0

1

0.222222

false

0.111111

0.333333

0.111111

0.777778

0

null

0

null

0

1

0

1

0

5

1c547d20f9bbd2b2a23b1f4757f5e6b9ca20af3a

311

py

Python

order-1_voronoi/core/tree/LocationAwareEntry.py

bzliu94/algorithms

43ccefd7ea1fd88339bf2afa0b35b0a3bdf6acff

[ "MIT" ]

null

order-1_voronoi/core/tree/LocationAwareEntry.py

bzliu94/algorithms

43ccefd7ea1fd88339bf2afa0b35b0a3bdf6acff

[ "MIT" ]

null

order-1_voronoi/core/tree/LocationAwareEntry.py

bzliu94/algorithms

43ccefd7ea1fd88339bf2afa0b35b0a3bdf6acff

[ "MIT" ]

null

from Entry import * class LocationAwareEntry(Entry): def __init__(self, key, value, location = None): Entry.__init__(self, key, value) self.location = location def setLocation(self, location): self.location = location def getLocation(self): return self.location

16.368421

51

0.659164

34

311

5.794118

0.441176

0.243655

0.111675

0.162437

0

0.250804

311

18

52

17.277778

0.845494

0

0.222222

0

1

0.333333

false

0

0.111111

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

5

c732db632beb53b99ba2aa3c5d84b09f3015ce96

41

py

Python

interview_tasks/4.py

borislavstoychev/SoftUni_Bootcamp

a86eee5fe14d7fa0df75fb34daea868585ac406e

[ "MIT" ]

null

interview_tasks/4.py

borislavstoychev/SoftUni_Bootcamp

a86eee5fe14d7fa0df75fb34daea868585ac406e

[ "MIT" ]

null

interview_tasks/4.py

borislavstoychev/SoftUni_Bootcamp

a86eee5fe14d7fa0df75fb34daea868585ac406e

[ "MIT" ]

null

print(sum(int(n) for n in list(input())))

41

0.658537

9

41

3

0.888889

0

0.097561

41

1

41

0.72973

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c73d65c5c310f7f6c791f712c60a6e49205d1f42

6,548

py

Python

backbones/resnet_blocks.py

edwardyehuang/iSeg

256b0f7fdb6e854fe026fa8df41d9a4a55db34d5

[ "MIT" ]

4

2021-12-13T09:49:26.000Z

2022-02-19T11:16:50.000Z

backbones/resnet_blocks.py

edwardyehuang/iSeg

256b0f7fdb6e854fe026fa8df41d9a4a55db34d5

[ "MIT" ]

1

2021-07-28T10:40:56.000Z

2021-08-09T07:14:06.000Z

backbones/resnet_blocks.py

edwardyehuang/iSeg

256b0f7fdb6e854fe026fa8df41d9a4a55db34d5

[ "MIT" ]

null

# ================================================================ # MIT License # Copyright (c) 2021 edwardyehuang (https://github.com/edwardyehuang) # ================================================================ # This code is motified from https://github.com/keras-team/keras/blob/master/keras/applications/resnet.py # The modifications are refer to https://github.com/tensorflow/models/blob/master/research/deeplab/core/resnet_v1_beta.py # and "Bag of Tricks for Image Classification with Convolutional Neural Networks", CVPR2019 import tensorflow as tf from iseg.layers.normalizations import normalization from tensorflow.python.keras.utils import conv_utils BN_EPSILON = 1.001e-5 def conv2d_same_fn(*args, **kwargs): return tf.keras.layers.Conv2D(*args, **kwargs) class BlockType1(tf.keras.Model): def __init__( self, filters, kernel_size=3, stride=1, conv_shortcut=True, use_bias=True, norm_method=None, name=None ): super(BlockType1, self).__init__(name=name) self.conv_shortcut = conv_shortcut if self.conv_shortcut: self.shortcut_conv = tf.keras.layers.Conv2D( 4 * filters, kernel_size=1, strides=stride, use_bias=use_bias, name=name + "_0_conv" ) self.shortcut_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_0_bn") self.conv1_conv = tf.keras.layers.Conv2D( filters, kernel_size=1, strides=stride, use_bias=use_bias, name=name + "_1_conv" ) self.conv1_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_1_bn") self.conv2_conv = conv2d_same_fn(filters, kernel_size, padding="SAME", use_bias=use_bias, name=name + "_2_conv") self.conv2_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_2_bn") self.conv3_conv = tf.keras.layers.Conv2D(4 * filters, kernel_size=1, use_bias=use_bias, name=name + "_3_conv") self.conv3_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_3_bn") @property def strides(self): return self.conv1_conv.strides[0] @strides.setter def strides(self, value): value = conv_utils.normalize_tuple(value, self.shortcut_conv.rank, "strides") self.conv1_conv.strides = value if self.conv_shortcut: self.shortcut_conv.strides = value @property def atrous_rates(self): return self.conv2_conv.dilation_rate[0] @atrous_rates.setter def atrous_rates(self, value): value = conv_utils.normalize_tuple(value, self.conv2_conv.rank, "dilation_rate") if self.conv2_conv.built: raise ValueError("conv has been built") self.conv2_conv.dilation_rate = value def call(self, inputs, training=None, **kwargs): if self.conv_shortcut: shortcut = self.shortcut_conv(inputs) shortcut = self.shortcut_bn(shortcut, training=training) else: shortcut = inputs x = self.conv1_conv(inputs) x = self.conv1_bn(x, training=training) x = tf.nn.relu(x) tf.assert_equal(x.shape.rank, 4) x = self.conv2_conv(x, training=training) x = self.conv2_bn(x, training=training) x = tf.nn.relu(x) x = self.conv3_conv(x) x = self.conv3_bn(x, training=training) x = tf.add(shortcut, x) x = tf.nn.relu(x) return x class BlockType2(tf.keras.Model): def __init__( self, filters, kernel_size=3, stride=1, conv_shortcut=True, use_bias=False, norm_method=None, downsample_method="avg", name=None, ): super(BlockType2, self).__init__(name=name) self.conv_shortcut = conv_shortcut self.downsample_method = downsample_method if self.conv_shortcut: self.shortcut_conv = tf.keras.layers.Conv2D( 4 * filters, kernel_size=1, strides=stride, use_bias=use_bias, name=name + "_0_conv" ) self.shortcut_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_0_bn") self.conv1_conv = tf.keras.layers.Conv2D(filters, kernel_size=1, use_bias=use_bias, name=name + "_1_conv") self.conv1_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_1_bn") self.conv2_conv = conv2d_same_fn( filters, kernel_size, strides=stride, padding="SAME", use_bias=use_bias, name=name + "_2_conv" ) self.conv2_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_2_bn") self.conv3_conv = tf.keras.layers.Conv2D(4 * filters, kernel_size=1, use_bias=use_bias, name=name + "_3_conv") self.conv3_bn = normalization(epsilon=BN_EPSILON, method=norm_method, name=name + "_3_bn") @property def strides(self): return self.conv2_conv.strides[0] @strides.setter def strides(self, value): if not isinstance(value, tuple): value = (value, value) self.conv2_conv.strides = value if self.conv_shortcut: self.shortcut_conv.strides = value @property def atrous_rates(self): return self.conv2_conv.dilation_rate[0] @atrous_rates.setter def atrous_rates(self, value): if not isinstance(value, tuple): value = (value, value) self.conv2_conv.dilation_rate = value def call(self, inputs, training=None, **kwargs): if self.conv_shortcut: shortcut = self.shortcut_conv(inputs) shortcut = self.shortcut_bn(shortcut, training=training) elif self.strides > 1: if "avg" in self.downsample_method: shortcut = tf.nn.avg_pool2d(inputs, self.conv2_conv.strides, self.conv2_conv.strides, "SAME") elif "max" in self.downsample_method: shortcut = tf.nn.max_pool2d(inputs, self.conv2_conv.strides, self.conv2_conv.strides, "SAME") else: raise ValueError("Only max or avg are supported") else: shortcut = inputs x = self.conv1_conv(inputs) x = self.conv1_bn(x, training=training) x = tf.nn.relu(x) x = self.conv2_conv(x, training=training) x = self.conv2_bn(x, training=training) x = tf.nn.relu(x) x = self.conv3_conv(x) x = self.conv3_bn(x, training=training) x = tf.add(shortcut, x) x = tf.nn.relu(x) return x

33.408163

121

0.634698

854

6,548

4.64637

0.156909

0.045363

0.052419

0.028226

0.771925

0.770665

0.753528

0.692792

0

0.020879

0.23931

6,548

195

122

33.579487

0.775748

0.079872

0

0.648855

0

0.031411

0

0.007634

1

0.099237

false

0

0.022901

0.038168

0.19084

0

null

0

1

0

null

0

5

c7437fcc84738acf85980a56bd20f63d528a5e38

140

py

Python

sicwebapp/page/cron.py

Dheerajdoppalapudi/Summer-Internship-Club-Website

9ffa0863d0c86ac895fd0900649c43cf56c8cb59

[ "MIT" ]

1

2022-01-19T10:51:51.000Z

sicwebapp/page/cron.py

Dheerajdoppalapudi/Summer-Internship-Club-Website

9ffa0863d0c86ac895fd0900649c43cf56c8cb59

[ "MIT" ]

null

sicwebapp/page/cron.py

Dheerajdoppalapudi/Summer-Internship-Club-Website

9ffa0863d0c86ac895fd0900649c43cf56c8cb59

[ "MIT" ]

3

2022-01-18T18:30:35.000Z

2022-01-20T08:15:05.000Z

from django.core.management import call_command def my_scheduled_job(): try: call_command('dbbackup') except: pass

17.5

47

0.671429

17

140

5.294118

0.882353

0.244444

0

0.25

140

7

48

20

0.857143

0

0.057143

0

1

0.166667

true

0.166667

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

c75921be2286a46a502c2af85795a2275c705dc8

769

py

Python

tests/data/program_analysis/derived-types/derived-types-07.py

rsulli55/automates

1647a8eef85c4f03086a10fa72db3b547f1a0455

[ "Apache-2.0" ]

17

2018-12-19T16:32:38.000Z

2021-10-05T07:58:15.000Z

tests/data/program_analysis/derived-types/derived-types-07.py

rsulli55/automates

1647a8eef85c4f03086a10fa72db3b547f1a0455

[ "Apache-2.0" ]

183

2018-12-20T17:03:01.000Z

2022-02-23T22:21:42.000Z

tests/data/program_analysis/derived-types/derived-types-07.py

rsulli55/automates

1647a8eef85c4f03086a10fa72db3b547f1a0455

[ "Apache-2.0" ]

5

2019-01-04T22:37:49.000Z

2022-01-19T17:34:16.000Z

import sys import os from typing import List import math from automates.program_analysis.for2py.format import * from automates.program_analysis.for2py.arrays import * from automates.program_analysis.for2py.static_save import * from automates.program_analysis.for2py.strings import * from automates.program_analysis.for2py import intrinsics from dataclasses import dataclass from automates.program_analysis.for2py.types_ext import Float32 import automates.program_analysis.for2py.math_ext as math from numbers import Real from random import random @dataclass class mytype: simcontrol = String(120, " ") def main(): test = String(20, "hello world") main()

30.76

136

0.708713

90

769

5.944444

0.411111

0.209346

0.314019

0.392523

0.426168

0.299065

0

0.02381

0.235371

769

24

137

32.041667

0.886054

0

0.149545

0

1

0.05

false

0

0.7

0

0.85

0

null

1

0

null

0

1

0

1

0

5

c78a091f432593413f1fe9de32f7d3c73a14955d

14

py

Python

todo_v3/__init__.py

ken-mathenge/personal_todo_list

3969e4b40a0d01e93d6fa8bc5612b0aa22798255

[ "MIT" ]

1

2020-05-06T12:00:12.000Z

todo_v3/__init__.py

ken-mathenge/personal_todo_list

3969e4b40a0d01e93d6fa8bc5612b0aa22798255

[ "MIT" ]

7

2020-04-01T17:54:04.000Z

2020-04-05T16:37:03.000Z

todo_v3/__init__.py

ken-mathenge/personal_todo_list

3969e4b40a0d01e93d6fa8bc5612b0aa22798255

[ "MIT" ]

null

"""Config."""

7

13

0.428571

1

14

6

1

0

0.071429

14

1

14

0.461538

0.5

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

5

c79b72a072ae47f2f6340c83798f36556053a144

87

py

Python

ch04/func_from.py

kxen42/Learn-Python-Programming-Third-Edition

851ddc5e6094fadd44f31a9ad1d3876456b04372

[ "MIT" ]

19

2021-11-05T22:54:09.000Z

2022-03-29T15:03:47.000Z

ch04/func_from.py

kxen42/Learn-Python-Programming-Third-Edition

851ddc5e6094fadd44f31a9ad1d3876456b04372

[ "MIT" ]

null

ch04/func_from.py

kxen42/Learn-Python-Programming-Third-Edition

851ddc5e6094fadd44f31a9ad1d3876456b04372

[ "MIT" ]

26

2021-11-12T17:04:50.000Z

2022-03-29T01:10:35.000Z

# func_from.py from lib.funcdef import square, cube print(square(10)) print(cube(10))

14.5

36

0.747126

15

87

4.266667

0.666667

0

0.051948

0.114943

87

5

37

17.4

0.779221

0.137931

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c7a9293d3aa5f4b4e27dccdb8ce1e4d14923c459

100

py

Python

test/__init__.py

sara-nl/iBridges

a630cde7e4cab455a41f41ab96c7a45434dbaf97

[ "Apache-2.0" ]

null

test/__init__.py

sara-nl/iBridges

a630cde7e4cab455a41f41ab96c7a45434dbaf97

[ "Apache-2.0" ]

null

test/__init__.py

sara-nl/iBridges

a630cde7e4cab455a41f41ab96c7a45434dbaf97

[ "Apache-2.0" ]

1

2018-08-28T13:38:26.000Z

import sys import os sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))

20

59

0.65

15

100

4.066667

0.533333

0.196721

0.42623

0

0.012821

0.22

100

4

60

25

0.769231

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

c7aa06a0b96068d98cbd90795fc4d0486d7fbd07

3,836

py

Python

stubs/loboris-v3_2_24-esp32/display.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

stubs/loboris-v3_2_24-esp32/display.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

stubs/loboris-v3_2_24-esp32/display.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

""" Module: 'display' on esp32_LoBo MCU: (sysname='esp32_LoBo', nodename='esp32_LoBo', release='3.2.24', version='ESP32_LoBo_v3.2.24 on 2018-09-06', machine='ESP32 board with ESP32') Stubber: 1.0.0 - updated """ from typing import Any class TFT: """""" BLACK = 0 BLUE = 255 BMP = 2 BOTTOM = -9004 CENTER = -9003 COLOR_BITS16 = 16 COLOR_BITS24 = 24 CYAN = 65535 DARKCYAN = 32896 DARKGREEN = 32768 DARKGREY = 8421504 FONT_7seg = 9 FONT_Comic = 4 FONT_Default = 0 FONT_DefaultSmall = 8 FONT_DejaVu18 = 1 FONT_DejaVu24 = 2 FONT_Minya = 5 FONT_Small = 7 FONT_Tooney = 6 FONT_Ubuntu = 3 GENERIC = 7 GREEN = 65280 GREENYELLOW = 11336748 HSPI = 1 ILI9341 = 0 ILI9488 = 1 JPG = 1 LANDSCAPE = 1 LANDSCAPE_FLIP = 3 LASTX = 7000 LASTY = 8000 LIGHTGREY = 12632256 M5STACK = 6 MAGENTA = 16515327 MAROON = 8388608 NAVY = 128 OLIVE = 8421376 ORANGE = 16557056 PINK = 16564426 PORTRAIT = 0 PORTRAIT_FLIP = 2 PURPLE = 8388736 RED = 16515072 RIGHT = -9004 ST7735 = 3 ST7735B = 5 ST7735R = 4 ST7789 = 2 TOUCH_NONE = 0 TOUCH_STMPE = 2 TOUCH_XPT = 1 VSPI = 2 WHITE = 16579836 YELLOW = 16579584 def arc(self, *args) -> Any: pass def attrib7seg(self, *args) -> Any: pass def backlight(self, *args) -> Any: pass def circle(self, *args) -> Any: pass def clear(self, *args) -> Any: pass def clearwin(self, *args) -> Any: pass def compileFont(self, *args) -> Any: pass def deinit(self, *args) -> Any: pass def ellipse(self, *args) -> Any: pass def font(self, *args) -> Any: pass def fontSize(self, *args) -> Any: pass def getCalib(self, *args) -> Any: pass def getTouchType(self, *args) -> Any: pass def get_bg(self, *args) -> Any: pass def get_fg(self, *args) -> Any: pass def gettouch(self, *args) -> Any: pass def hsb2rgb(self, *args) -> Any: pass def image(self, *args) -> Any: pass def init(self, *args) -> Any: pass def line(self, *args) -> Any: pass def lineByAngle(self, *args) -> Any: pass def orient(self, *args) -> Any: pass def pixel(self, *args) -> Any: pass def polygon(self, *args) -> Any: pass def readPixel(self, *args) -> Any: pass def readScreen(self, *args) -> Any: pass def rect(self, *args) -> Any: pass def resetwin(self, *args) -> Any: pass def restorewin(self, *args) -> Any: pass def roundrect(self, *args) -> Any: pass def savewin(self, *args) -> Any: pass def screensize(self, *args) -> Any: pass def setCalib(self, *args) -> Any: pass def set_bg(self, *args) -> Any: pass def set_fg(self, *args) -> Any: pass def setwin(self, *args) -> Any: pass def text(self, *args) -> Any: pass def textClear(self, *args) -> Any: pass def textWidth(self, *args) -> Any: pass def text_x(self, *args) -> Any: pass def text_y(self, *args) -> Any: pass def tft_deselect(self, *args) -> Any: pass def tft_readcmd(self, *args) -> Any: pass def tft_select(self, *args) -> Any: pass def tft_setspeed(self, *args) -> Any: pass def tft_writecmd(self, *args) -> Any: pass def tft_writecmddata(self, *args) -> Any: pass def triangle(self, *args) -> Any: pass def winsize(self, *args) -> Any: pass

17.925234

146

0.530761

475

3,836

4.214737

0.353684

0.195804

0.269231

0.367133

0.456543

0.15984

0

0.096177

0.35219

3,836

213

147

18.00939

0.709457

0.05292

0

0.316129

0

1

0.316129

false

0.316129

0.006452

0

0.683871

0

null

0

1

0

null

0

1

0

1

0

1

0

5

40031e7ac8bc5c0fda71d5bde3797b237df10346

16

py

Python

Dcom-KHU Week7/zz.py

Dcom-KHU/2021_Algorithm_basic

8207d9c2003ae4a5533c91b43992224457c8c023

[ "MIT" ]

3

2021-07-14T13:01:42.000Z

2021-12-28T15:10:12.000Z

Dcom-KHU Week7/zz.py

Dcom-KHU/2021_Algorithm_basic

8207d9c2003ae4a5533c91b43992224457c8c023

[ "MIT" ]

null

Dcom-KHU Week7/zz.py

Dcom-KHU/2021_Algorithm_basic

8207d9c2003ae4a5533c91b43992224457c8c023

[ "MIT" ]

null

print("Week 7")

8

15

0.625

3

16

3.333333

1

0

0.071429

0.125

16

1

16

0.642857

0

0.375

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

4026aa87175cdaa4e99eade246912b10c5777fa3

83

py

Python

django/esite/auto/admin.py

vollov/django-template

ca904ace18919dbb557961acbb9959ffd48d4d20

[ "MIT" ]

null

django/esite/auto/admin.py

vollov/django-template

ca904ace18919dbb557961acbb9959ffd48d4d20

[ "MIT" ]

null

django/esite/auto/admin.py

vollov/django-template

ca904ace18919dbb557961acbb9959ffd48d4d20

[ "MIT" ]

null

from django.contrib import admin from models import Car admin.site.register(Car)

13.833333

32

0.807229

13

83

5.153846

0.692308

0

0.13253

83

5

33

16.6

0.930556

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

40567c91fd3b667c9ee6a95fe3981a0dd7e9d1ad

32

py

Python

tfgpu/cli/__init__.py

2sang/oneshot-tfgpu

314d4ffcdf3dd19325988d35d2ab521da89eb9d9

[ "MIT" ]

null

tfgpu/cli/__init__.py

2sang/oneshot-tfgpu

314d4ffcdf3dd19325988d35d2ab521da89eb9d9

[ "MIT" ]

null

tfgpu/cli/__init__.py

2sang/oneshot-tfgpu

314d4ffcdf3dd19325988d35d2ab521da89eb9d9

[ "MIT" ]

null

from tfgpu.cli import run, init

16

31

0.78125

6

32

4.166667

1

0

0.15625

32

1

32

0.925926

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

406342ef6fff98df6161ed84537aa3056ab0e165

9,997

py

Python

dataset/cifar.py

aouedions11/SSFL-Benchmarking-Semi-supervised-Federated-Learning

78aec81919bf95ed4677d0e0a4ebbbe3be455742

[ "MIT" ]

1

2021-09-17T17:04:02.000Z

dataset/cifar.py

aouedions11/SSFL-Benchmarking-Semi-supervised-Federated-Learning

78aec81919bf95ed4677d0e0a4ebbbe3be455742

[ "MIT" ]

null

dataset/cifar.py

aouedions11/SSFL-Benchmarking-Semi-supervised-Federated-Learning

78aec81919bf95ed4677d0e0a4ebbbe3be455742

[ "MIT" ]

null

import logging import numpy as np from PIL import Image from torchvision import datasets from torchvision import transforms import copy from .randaugment import RandAugmentMC logger = logging.getLogger(__name__) cifar10_mean = (0.4914, 0.4822, 0.4465) cifar10_std = (0.2471, 0.2435, 0.2616) cifar100_mean = (0.5071, 0.4867, 0.4408) cifar100_std = (0.2675, 0.2565, 0.2761) normal_mean = (0.5, 0.5, 0.5) normal_std = (0.5, 0.5, 0.5) normal_mean = (0.5, 0.5) normal_std = (0.5, 0.5) def get_cifar10(root, num_expand_x, num_expand_u,device_ids, server_idxs): root='./data' transform_labeled = transforms.Compose([ transforms.RandomHorizontalFlip(), transforms.RandomCrop(size=32, padding=int(32*0.125), padding_mode='reflect'), transforms.ToTensor(), transforms.Normalize(mean=cifar10_mean, std=cifar10_std) ]) transform_val = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=cifar10_mean, std=cifar10_std) ]) base_dataset = datasets.CIFAR10(root, train=True, download=False) train_labeled_idxs, train_unlabeled_idxs = x_u_split( base_dataset.targets, num_expand_x, num_expand_u, device_ids,server_idxs) train_labeled_dataset = CIFAR10SSL( root, train_labeled_idxs, train=True, transform=transform_labeled) train_unlabeled_dataset_list = [] train_unlabeled_idxs_tmp = copy.deepcopy(train_unlabeled_idxs[0]) import functools import operator for id in range(len(train_unlabeled_idxs)): train_unlabeled_dataset = CIFAR10SSL( root, train_unlabeled_idxs[id], train=True, transform=TransformFix(mean=cifar10_mean, std=cifar10_std)) train_unlabeled_dataset_list.append(train_unlabeled_dataset) test_dataset = datasets.CIFAR10( root, train=False, transform=transform_val, download=False) logger.info("Dataset: CIFAR10") return train_labeled_dataset, train_unlabeled_dataset_list, test_dataset def get_emnist(root, num_expand_x, num_expand_u,device_ids, server_idxs): root='./data' transform_labeled = transforms.Compose([ transforms.RandomHorizontalFlip(), transforms.RandomCrop(size=28, padding=int(28*0.125), padding_mode='reflect'), transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,)) ]) transform_val = transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,)) ]) base_dataset = datasets.EMNIST(root, train=True,split='balanced', download=True) train_labeled_idxs, train_unlabeled_idxs = x_u_split( base_dataset.targets, num_expand_x, num_expand_u, device_ids,server_idxs) train_labeled_dataset = EMNIST( root, train_labeled_idxs, train=True, transform=transform_labeled) train_unlabeled_dataset_list = [] train_unlabeled_idxs_tmp = copy.deepcopy(train_unlabeled_idxs[0]) for id in range(len(train_unlabeled_idxs)): train_unlabeled_dataset = EMNIST( root, train_unlabeled_idxs[id], train=True, transform=TransformFix(size = 28, mean=(0.1307,), std=(0.3081,))) train_unlabeled_dataset_list.append(train_unlabeled_dataset) test_dataset = datasets.EMNIST( root, train=False,split='balanced', transform=transform_val, download=True) return train_labeled_dataset, train_unlabeled_dataset_list, test_dataset def get_svhn(root, num_expand_x, num_expand_u,device_ids, server_idxs): root='./data' transform_labeled = transforms.Compose([ transforms.RandomHorizontalFlip(), transforms.RandomCrop(size=32, padding=int(32*0.125), padding_mode='reflect'), transforms.ToTensor(), transforms.Normalize(mean=cifar10_mean, std=cifar10_std) ]) transform_val = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=cifar10_mean, std=cifar10_std) ]) base_dataset = datasets.SVHN(root, split='train', download=False) train_labeled_idxs, train_unlabeled_idxs = x_u_split( base_dataset.labels, num_expand_x, num_expand_u, device_ids,server_idxs) train_labeled_dataset = SVHNSSL( root, train_labeled_idxs, split='train', transform=transform_labeled) train_unlabeled_dataset_list = [] train_unlabeled_idxs_tmp = copy.deepcopy(train_unlabeled_idxs[0]) import functools import operator for id in range(len(train_unlabeled_idxs)): train_unlabeled_dataset = SVHNSSL( root, train_unlabeled_idxs[id], split='train', transform=TransformFix(mean=cifar10_mean, std=cifar10_std)) train_unlabeled_dataset_list.append(train_unlabeled_dataset) test_dataset = datasets.SVHN( root, split='train', transform=transform_val, download=False) logger.info("Dataset: SVHN") return train_labeled_dataset, train_unlabeled_dataset_list, test_dataset def x_u_split(labels, num_expand_x, num_expand_u, device_ids, server_idxs): labels = np.array(labels) labeled_idx = copy.deepcopy(server_idxs) unlabeled_idx = [] unlabeled_idx_list = [] for id in range(len(device_ids)): unlabeled_idx = device_ids[id] exapand_unlabeled = num_expand_u // len(device_ids[id]) // len(device_ids) unlabeled_idx = np.hstack( [unlabeled_idx for _ in range(exapand_unlabeled)]) if len(unlabeled_idx) < num_expand_u // len(device_ids): diff = num_expand_u // len(device_ids) - len(unlabeled_idx) unlabeled_idx = np.hstack( (unlabeled_idx, np.random.choice(unlabeled_idx, diff))) else: assert len(unlabeled_idx) == num_expand_u // len(device_ids) unlabeled_idx_list.append(unlabeled_idx) exapand_labeled = num_expand_x // len(labeled_idx) labeled_idx = np.hstack( [labeled_idx for _ in range(exapand_labeled)]) if len(labeled_idx) < num_expand_x: diff = num_expand_x - len(labeled_idx) labeled_idx = np.hstack( (labeled_idx, np.random.choice(labeled_idx, diff))) else: assert len(labeled_idx) == num_expand_x return labeled_idx, unlabeled_idx_list class TransformFix(object): def __init__(self, mean, std,size=32): self.weak = transforms.Compose([ transforms.RandomHorizontalFlip(), transforms.RandomCrop(size=size, padding=int(size*0.125), padding_mode='reflect')]) self.strong = transforms.Compose([ transforms.RandomHorizontalFlip(), transforms.RandomCrop(size=size, padding=int(size*0.125), padding_mode='reflect'), RandAugmentMC(n=2, m=10)]) self.normalize = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean=mean, std=std)]) def __call__(self, x): weak = self.weak(x) strong = self.strong(x) return self.normalize(weak), self.normalize(strong) class CIFAR10SSL(datasets.CIFAR10): def __init__(self, root, indexs, train=True, transform=None, target_transform=None, download=False): super().__init__(root, train=train, transform=transform, target_transform=target_transform, download=download) if indexs is not None: self.data = self.data[indexs] self.targets = np.array(self.targets)[indexs] def __getitem__(self, index): img, target = self.data[index], self.targets[index] img = Image.fromarray(img) if self.transform is not None: img = self.transform(img) if self.target_transform is not None: target = self.target_transform(target) return img, target class EMNIST(datasets.EMNIST): def __init__(self, root, indexs, train=True, transform=None, target_transform=None, download=True,split='balanced'): super().__init__(root, train=train, transform=transform, target_transform=target_transform,split='balanced', download=download) if indexs is not None: self.data = self.data[indexs] self.targets = np.array(self.targets)[indexs] def __getitem__(self, index): img, target = self.data[index], self.targets[index] img = img.cpu().numpy() img = Image.fromarray(img) if self.transform is not None: img = self.transform(img) if self.target_transform is not None: target = target.cpu().numpy() target = self.target_transform(target) return img, target class SVHNSSL(datasets.SVHN): def __init__(self, root, indexs, split='train', transform=None, target_transform=None, download=False): super().__init__(root, split='train', transform=transform, target_transform=target_transform, download=download) if indexs is not None: self.data = self.data[indexs] self.labels = np.array(self.labels)[indexs] def __getitem__(self, index): img, target = self.data[index], int(self.labels[index]) img = Image.fromarray(np.transpose(img, (1, 2, 0))) if self.transform is not None: img = self.transform(img) if self.target_transform is not None: target = self.target_transform(target) return img, target

34.711806

84

0.638291

1,165

9,997

5.203433

0.111588

0.069284

0.04454

0.037116

0.80221

0.760145

0.726493

0.715275

0.684263

0.638733

0

0.027782

0.261879

9,997

287

85

34.832753

0.793739

0

0.59009

0

0.014404

0

0.009009

1

0.054054

false

0

0.04955

0

0.157658

0

null

0

1

0

1

0

null

0

5

4085c24ae9a233332c357205d844a96bc1d6a0c3

39,874

py

Python

lanxinplus_openapi/api/addrbk_staff_api.py

lanxinplus/lanxinplus-python-sdk

39ea9cb66a087df06e61ed4a2b473fb170a47f99

[ "MIT" ]

null

lanxinplus_openapi/api/addrbk_staff_api.py

lanxinplus/lanxinplus-python-sdk

39ea9cb66a087df06e61ed4a2b473fb170a47f99

[ "MIT" ]

null

lanxinplus_openapi/api/addrbk_staff_api.py

lanxinplus/lanxinplus-python-sdk

39ea9cb66a087df06e61ed4a2b473fb170a47f99

[ "MIT" ]

null

""" LanXin+ OpenAPI LanXin+ OpenAPI Platform # noqa: E501 Generated by: https://openapi.lanxin.cn """ import re # noqa: F401 import sys # noqa: F401 from lanxinplus_openapi.api_client import ApiClient, Endpoint as _Endpoint from lanxinplus_openapi.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from lanxinplus_openapi.model.v1_org_extra_field_ids_fetch_response import V1OrgExtraFieldIdsFetchResponse from lanxinplus_openapi.model.v1_staffs_create_request_body import V1StaffsCreateRequestBody from lanxinplus_openapi.model.v1_staffs_create_response import V1StaffsCreateResponse from lanxinplus_openapi.model.v1_staffs_delete_response import V1StaffsDeleteResponse from lanxinplus_openapi.model.v1_staffs_dept_ancestors_fetch_response import V1StaffsDeptAncestorsFetchResponse from lanxinplus_openapi.model.v1_staffs_fetch_response import V1StaffsFetchResponse from lanxinplus_openapi.model.v1_staffs_infor_fetch_response import V1StaffsInforFetchResponse from lanxinplus_openapi.model.v1_staffs_update_request_body import V1StaffsUpdateRequestBody from lanxinplus_openapi.model.v1_staffs_update_response import V1StaffsUpdateResponse from lanxinplus_openapi.model.v1_tags_fetch_request_body import V1TagsFetchRequestBody from lanxinplus_openapi.model.v1_tags_fetch_response import V1TagsFetchResponse from lanxinplus_openapi.model.v2_staffs_id_mapping_fetch_response import V2StaffsIdMappingFetchResponse from lanxinplus_openapi.model.v2_staffs_search_request_body import V2StaffsSearchRequestBody from lanxinplus_openapi.model.v2_staffs_search_response import V2StaffsSearchResponse class AddrbkStaffApi(object): """NOTE: This class is auto generated by LanXin+ Ref: https://openapi.lanxin.cn Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client self.v1_org_extra_field_ids_fetch_endpoint = _Endpoint( settings={ 'response_type': (V1OrgExtraFieldIdsFetchResponse,), 'auth': [], 'endpoint_path': '/v1/org/{orgid}/extrafieldids/fetch', 'operation_id': 'v1_org_extra_field_ids_fetch', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'app_token', 'orgid', 'user_token', 'page', 'page_size', ], 'required': [ 'app_token', 'orgid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'orgid': (str,), 'user_token': (str,), 'page': (int,), 'page_size': (int,), }, 'attribute_map': { 'app_token': 'app_token', 'orgid': 'orgid', 'user_token': 'user_token', 'page': 'page', 'page_size': 'page_size', }, 'location_map': { 'app_token': 'query', 'orgid': 'path', 'user_token': 'query', 'page': 'query', 'page_size': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.v1_staffs_create_endpoint = _Endpoint( settings={ 'response_type': (V1StaffsCreateResponse,), 'auth': [], 'endpoint_path': '/v1/staffs/create', 'operation_id': 'v1_staffs_create', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'app_token', 'v1_staffs_create_request_body', 'user_token', ], 'required': [ 'app_token', 'v1_staffs_create_request_body', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'v1_staffs_create_request_body': (V1StaffsCreateRequestBody,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'v1_staffs_create_request_body': 'body', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.v1_staffs_delete_endpoint = _Endpoint( settings={ 'response_type': (V1StaffsDeleteResponse,), 'auth': [], 'endpoint_path': '/v1/staffs/{staffid}/delete', 'operation_id': 'v1_staffs_delete', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'app_token', 'staffid', 'user_token', ], 'required': [ 'app_token', 'staffid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'staffid': (str,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'staffid': 'staffid', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'staffid': 'path', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.v1_staffs_dept_ancestors_fetch_endpoint = _Endpoint( settings={ 'response_type': (V1StaffsDeptAncestorsFetchResponse,), 'auth': [], 'endpoint_path': '/v1/staffs/{staffid}/departmentancestors/fetch', 'operation_id': 'v1_staffs_dept_ancestors_fetch', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'app_token', 'staffid', 'user_token', ], 'required': [ 'app_token', 'staffid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'staffid': (str,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'staffid': 'staffid', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'staffid': 'path', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.v1_staffs_fetch_endpoint = _Endpoint( settings={ 'response_type': (V1StaffsFetchResponse,), 'auth': [], 'endpoint_path': '/v1/staffs/{staffid}/fetch', 'operation_id': 'v1_staffs_fetch', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'app_token', 'staffid', 'user_token', ], 'required': [ 'app_token', 'staffid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'staffid': (str,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'staffid': 'staffid', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'staffid': 'path', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.v1_staffs_infor_fetch_endpoint = _Endpoint( settings={ 'response_type': (V1StaffsInforFetchResponse,), 'auth': [], 'endpoint_path': '/v1/staffs/{staffid}/infor/fetch', 'operation_id': 'v1_staffs_infor_fetch', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'app_token', 'staffid', 'user_token', ], 'required': [ 'app_token', 'staffid', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'staffid': (str,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'staffid': 'staffid', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'staffid': 'path', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.v1_staffs_update_endpoint = _Endpoint( settings={ 'response_type': (V1StaffsUpdateResponse,), 'auth': [], 'endpoint_path': '/v1/staffs/{staffid}/update', 'operation_id': 'v1_staffs_update', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'app_token', 'staffid', 'v1_staffs_update_request_body', 'user_token', ], 'required': [ 'app_token', 'staffid', 'v1_staffs_update_request_body', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'staffid': (str,), 'v1_staffs_update_request_body': (V1StaffsUpdateRequestBody,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'staffid': 'staffid', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'staffid': 'path', 'v1_staffs_update_request_body': 'body', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.v1_tags_fetch_endpoint = _Endpoint( settings={ 'response_type': (V1TagsFetchResponse,), 'auth': [], 'endpoint_path': '/v1/tags/staffids/fetch', 'operation_id': 'v1_tags_fetch', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'app_token', 'v1_tags_fetch_request_body', 'user_token', 'page', 'page_size', ], 'required': [ 'app_token', 'v1_tags_fetch_request_body', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'v1_tags_fetch_request_body': (V1TagsFetchRequestBody,), 'user_token': (str,), 'page': (int,), 'page_size': (int,), }, 'attribute_map': { 'app_token': 'app_token', 'user_token': 'user_token', 'page': 'page', 'page_size': 'page_size', }, 'location_map': { 'app_token': 'query', 'v1_tags_fetch_request_body': 'body', 'user_token': 'query', 'page': 'query', 'page_size': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.v2_staffs_id_mapping_fetch_endpoint = _Endpoint( settings={ 'response_type': (V2StaffsIdMappingFetchResponse,), 'auth': [], 'endpoint_path': '/v2/staffs/id_mapping/fetch', 'operation_id': 'v2_staffs_id_mapping_fetch', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'app_token', 'org_id', 'id_type', 'id_value', 'user_token', ], 'required': [ 'app_token', 'org_id', 'id_type', 'id_value', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'org_id': (str,), 'id_type': (str,), 'id_value': (str,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'org_id': 'org_id', 'id_type': 'id_type', 'id_value': 'id_value', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'org_id': 'query', 'id_type': 'query', 'id_value': 'query', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.v2_staffs_search_endpoint = _Endpoint( settings={ 'response_type': (V2StaffsSearchResponse,), 'auth': [], 'endpoint_path': '/v2/staffs/search', 'operation_id': 'v2_staffs_search', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'app_token', 'user_id', 'v2_staffs_search_request_body', 'user_token', ], 'required': [ 'app_token', 'user_id', 'v2_staffs_search_request_body', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'app_token': (str,), 'user_id': (str,), 'v2_staffs_search_request_body': (V2StaffsSearchRequestBody,), 'user_token': (str,), }, 'attribute_map': { 'app_token': 'app_token', 'user_id': 'user_id', 'user_token': 'user_token', }, 'location_map': { 'app_token': 'query', 'user_id': 'query', 'v2_staffs_search_request_body': 'body', 'user_token': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) def v1_org_extra_field_ids_fetch( self, app_token, orgid, **kwargs ): """获取人员信息扩展字段id列表 # noqa: E501 获取组织内人员信息的扩展字段ID列表 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_org_extra_field_ids_fetch(app_token, orgid, async_req=True) >>> result = thread.get() Args: app_token (str): app_token orgid (str): orgid Keyword Args: user_token (str): user_token. [optional] page (int): 起始页码从1开始,默认值为1. [optional] page_size (int): 每页显示个数，默认值是1000，最大值是100000. [optional] Returns: V1OrgExtraFieldIdsFetchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['orgid'] = \ orgid return self.v1_org_extra_field_ids_fetch_endpoint.call_with_http_info(**kwargs) def v1_staffs_create( self, app_token, v1_staffs_create_request_body, **kwargs ): """创建人员 # noqa: E501 通过此接口，可以创建人员。仅组织内应用经过授权可以调用该接口。特别说明：目前蓝信不支持应用并发调用人员创建接口，否则会出现添加人员到部门的操作失败，应用需要保证串行化调用该接口 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_staffs_create(app_token, v1_staffs_create_request_body, async_req=True) >>> result = thread.get() Args: app_token (str): app_token v1_staffs_create_request_body (V1StaffsCreateRequestBody): Request Body Keyword Args: user_token (str): user_token. [optional] Returns: V1StaffsCreateResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['v1_staffs_create_request_body'] = \ v1_staffs_create_request_body return self.v1_staffs_create_endpoint.call_with_http_info(**kwargs) def v1_staffs_delete( self, app_token, staffid, **kwargs ): """人员删除接口 # noqa: E501 通过此接口，删除人员 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_staffs_delete(app_token, staffid, async_req=True) >>> result = thread.get() Args: app_token (str): app_token staffid (str): 人员 id Keyword Args: user_token (str): user_token. [optional] Returns: V1StaffsDeleteResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['staffid'] = \ staffid return self.v1_staffs_delete_endpoint.call_with_http_info(**kwargs) def v1_staffs_dept_ancestors_fetch( self, app_token, staffid, **kwargs ): """获取人员分支祖先列表 # noqa: E501 获取某个人员所在的所有分支的祖先列表 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_staffs_dept_ancestors_fetch(app_token, staffid, async_req=True) >>> result = thread.get() Args: app_token (str): app_token staffid (str): staffid Keyword Args: user_token (str): user_token. [optional] Returns: V1StaffsDeptAncestorsFetchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['staffid'] = \ staffid return self.v1_staffs_dept_ancestors_fetch_endpoint.call_with_http_info(**kwargs) def v1_staffs_fetch( self, app_token, staffid, **kwargs ): """获取人员基本信息 # noqa: E501 可以获人员的基本信息 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_staffs_fetch(app_token, staffid, async_req=True) >>> result = thread.get() Args: app_token (str): app_token staffid (str): staffid Keyword Args: user_token (str): user_token. [optional] Returns: V1StaffsFetchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['staffid'] = \ staffid return self.v1_staffs_fetch_endpoint.call_with_http_info(**kwargs) def v1_staffs_infor_fetch( self, app_token, staffid, **kwargs ): """获取人员详细信息 # noqa: E501 通过此接口，可以获取人员详细信息。需要组织授权或者个人授权 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_staffs_infor_fetch(app_token, staffid, async_req=True) >>> result = thread.get() Args: app_token (str): app_token staffid (str): staffid Keyword Args: user_token (str): user_token. [optional] Returns: V1StaffsInforFetchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['staffid'] = \ staffid return self.v1_staffs_infor_fetch_endpoint.call_with_http_info(**kwargs) def v1_staffs_update( self, app_token, staffid, v1_staffs_update_request_body, **kwargs ): """更新人员 # noqa: E501 通过此接口，可以更新人员信息。仅组织内应用经过授权可以调用该接口。特别说明：如果涉及人员的部门信息更新，目前蓝信不支持应用并发调用人员更新接口，否则会出现更新人员部门的操作失败，应用需要保证串行化调用该接口 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_staffs_update(app_token, staffid, v1_staffs_update_request_body, async_req=True) >>> result = thread.get() Args: app_token (str): app_token staffid (str): 人员 id v1_staffs_update_request_body (V1StaffsUpdateRequestBody): Request Body Keyword Args: user_token (str): user_token. [optional] Returns: V1StaffsUpdateResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['staffid'] = \ staffid kwargs['v1_staffs_update_request_body'] = \ v1_staffs_update_request_body return self.v1_staffs_update_endpoint.call_with_http_info(**kwargs) def v1_tags_fetch( self, app_token, v1_tags_fetch_request_body, **kwargs ): """通过标签获取人员的id列表 # noqa: E501 在组织内，通过指定标签过滤规则来筛选目标人员。 EMC管理后台和开放平台接口都提供关于标签的创建、修改、删除、给人员添加标签等功能，开发人员可以调用开放平台接口获取到已创建的所有标签分组，然后根据指定的分组ID再获取到该分组下的所有标签 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_tags_fetch(app_token, v1_tags_fetch_request_body, async_req=True) >>> result = thread.get() Args: app_token (str): app_token v1_tags_fetch_request_body (V1TagsFetchRequestBody): Request Body Keyword Args: user_token (str): user_token. [optional] page (int): 起始页码从1开始，默认值为1. [optional] page_size (int): 每页显示个数，默认值是1000，最大值是100000. [optional] Returns: V1TagsFetchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['v1_tags_fetch_request_body'] = \ v1_tags_fetch_request_body return self.v1_tags_fetch_endpoint.call_with_http_info(**kwargs) def v2_staffs_id_mapping_fetch( self, app_token, org_id, id_type, id_value, **kwargs ): """获取人员详细信息 # noqa: E501 通过此接口，可以获取人员详细信息。需要组织授权或者个人授权 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_staffs_id_mapping_fetch(app_token, org_id, id_type, id_value, async_req=True) >>> result = thread.get() Args: app_token (str): app_token org_id (str): 查询人员所在的组织Id id_type (str): employ_id/mobile/mail/login/external_id id_value (str): id_type 对应的值：人员编号，手机号... Keyword Args: user_token (str): user_token. [optional] Returns: V2StaffsIdMappingFetchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['org_id'] = \ org_id kwargs['id_type'] = \ id_type kwargs['id_value'] = \ id_value return self.v2_staffs_id_mapping_fetch_endpoint.call_with_http_info(**kwargs) def v2_staffs_search( self, app_token, user_id, v2_staffs_search_request_body, **kwargs ): """搜索人员 # noqa: E501 搜索人员 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_staffs_search(app_token, user_id, v2_staffs_search_request_body, async_req=True) >>> result = thread.get() Args: app_token (str): app_token user_id (str): user_id v2_staffs_search_request_body (V2StaffsSearchRequestBody): Request Body Keyword Args: user_token (str): user_token. [optional] Returns: V2StaffsSearchResponse If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['app_token'] = \ app_token kwargs['user_id'] = \ user_id kwargs['v2_staffs_search_request_body'] = \ v2_staffs_search_request_body return self.v2_staffs_search_endpoint.call_with_http_info(**kwargs)

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40888de51764fa7949653e4552df62b5d3315ddf

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Python

main/migrations/0005_auto_20200331_2004.py

GDGVIT/hestia-report

5fedd89b9a8fbc32e4f81a7529f10a706b01fe6c

[ "MIT" ]

null

main/migrations/0005_auto_20200331_2004.py

GDGVIT/hestia-report

5fedd89b9a8fbc32e4f81a7529f10a706b01fe6c

[ "MIT" ]

1

2020-03-26T00:21:07.000Z

main/migrations/0005_auto_20200331_2004.py

GDGVIT/hestia-report

5fedd89b9a8fbc32e4f81a7529f10a706b01fe6c

[ "MIT" ]

3

2020-03-25T18:59:03.000Z

2020-04-01T00:17:11.000Z

# Generated by Django 3.0.4 on 2020-03-31 20:04 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0004_createshoprecommendation_item'), ] operations = [ migrations.AlterField( model_name='createshoprecommendation', name='description_of_shop', field=models.CharField(max_length=250), ), migrations.AlterField( model_name='createshoprecommendation', name='extra_instruction', field=models.CharField(blank=True, max_length=250), ), migrations.AlterField( model_name='createshoprecommendation', name='item', field=models.CharField(max_length=100), ), migrations.AlterField( model_name='createshoprecommendation', name='landmark', field=models.CharField(max_length=100), ), migrations.AlterField( model_name='createshoprecommendation', name='recommended_for', field=models.CharField(max_length=250), ), migrations.AlterField( model_name='createshoprecommendation', name='user_id', field=models.CharField(max_length=250), ), migrations.AlterField( model_name='reportuser', name='reason', field=models.CharField(max_length=250), ), migrations.AlterField( model_name='reportuser', name='reported_by', field=models.CharField(max_length=250), ), migrations.AlterField( model_name='reportuser', name='user_id', field=models.CharField(max_length=250), ), ]

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272

py

Python

tests/test_comments.py

codeacio/isort

314c6e70a93c37b065b7c0f4f4903097fbce4b36

[ "MIT" ]

1

2020-08-18T06:27:01.000Z

tests/test_comments.py

codeacio/isort

314c6e70a93c37b065b7c0f4f4903097fbce4b36

[ "MIT" ]

null

tests/test_comments.py

codeacio/isort

314c6e70a93c37b065b7c0f4f4903097fbce4b36

[ "MIT" ]

1

2020-09-18T06:42:54.000Z

from hypothesis_auto import auto_pytest_magic from isort import comments auto_pytest_magic(comments.parse) auto_pytest_magic(comments.add_to_line) def test_add_to_line(): assert comments.add_to_line([], "import os # comment", removed=True).strip() == "import os"

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1

0

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40db41556d08ee16d3c4cd00e0626d43c2e3fcde

171

py

Python

sidpy/hdf/__init__.py

ondrejdyck/sidpy

779034440b8233e1dae609a58a64ce2d25ca41c0

[ "MIT" ]

5

2020-10-07T14:34:32.000Z

2021-11-17T11:25:06.000Z

sidpy/hdf/__init__.py

ondrejdyck/sidpy

779034440b8233e1dae609a58a64ce2d25ca41c0

[ "MIT" ]

94

2020-07-31T17:34:23.000Z

2022-02-11T21:57:09.000Z

sidpy/hdf/__init__.py

ondrejdyck/sidpy

779034440b8233e1dae609a58a64ce2d25ca41c0

[ "MIT" ]

15

2020-08-16T14:22:47.000Z

2021-08-20T18:15:37.000Z

""" Tools to read, write data in HDF5 files """ from . import hdf_utils, prov_utils, reg_ref, dtype_utils __all__ = ['hdf_utils', 'prov_utils', 'reg_ref', 'dtype_utils']

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1

0

null

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1

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40dd60d3de69672dc089937002686b1a40fccfcf

161

py

Python

tests/test_module.py

stactools-packages/gap

32b56ad5d713e04d9c799afb9cb75210f9734cde

[ "Apache-2.0" ]

null

tests/test_module.py

stactools-packages/gap

32b56ad5d713e04d9c799afb9cb75210f9734cde

[ "Apache-2.0" ]

3

2021-06-18T17:52:38.000Z

2021-08-12T18:19:58.000Z

tests/test_module.py

stactools-packages/gap

32b56ad5d713e04d9c799afb9cb75210f9734cde

[ "Apache-2.0" ]

null

import unittest import stactools.gap class TestModule(unittest.TestCase): def test_version(self): self.assertIsNotNone(stactools.gap.__version__)

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1

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906277fd83605fc6cfa88d404f927ee180cef4f0

152

py

Python

vnpy/api/sgit/__init__.py

black0144/vnpy

0d0ea30dad14a0150f7500ff9a62528030321426

[ "MIT" ]

5

2019-01-17T12:14:14.000Z

2021-05-30T10:24:42.000Z

vnpy/api/sgit/__init__.py

black0144/vnpy

0d0ea30dad14a0150f7500ff9a62528030321426

[ "MIT" ]

null

vnpy/api/sgit/__init__.py

black0144/vnpy

0d0ea30dad14a0150f7500ff9a62528030321426

[ "MIT" ]

5

2019-03-26T03:17:45.000Z

2019-11-05T08:08:18.000Z

# encoding: UTF-8 from __future__ import absolute_import from .vnsgitmd import MdApi from .vnsgittd import TdApi from .sgit_data_type import defineDict

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0

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5

906362d5e7eb0e6fd7f30bb8f35f8c8abc91f916

82

py

Python

deepab/resnets/__init__.py

antonkulaga/DeepAb

51a32d06d19815705bdbfb35a8a9518c17ec313a

[ "RSA-MD" ]

67

2021-07-02T08:31:10.000Z

2022-03-30T01:25:11.000Z

deepab/resnets/__init__.py

antonkulaga/DeepAb

51a32d06d19815705bdbfb35a8a9518c17ec313a

[ "RSA-MD" ]

9

2021-08-18T10:32:27.000Z

2022-03-30T06:40:05.000Z

deepab/resnets/__init__.py

antonkulaga/DeepAb

51a32d06d19815705bdbfb35a8a9518c17ec313a

[ "RSA-MD" ]

16

2021-07-17T08:33:30.000Z

2022-03-29T07:36:34.000Z

from .ResNet1D import * from .ResNet2D import * from .CrissCrossResNet2D import *

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py

Python

getArgs.py

xl3ehindTim/Code-buddy

e04b7b4327a0b3ff2790d22aef93dca6fce021f4

[ "MIT" ]

8

2019-11-29T09:20:11.000Z

2020-11-02T10:55:35.000Z

getArgs.py

xl3ehindTim/Code-buddy

e04b7b4327a0b3ff2790d22aef93dca6fce021f4

[ "MIT" ]

2

2019-12-02T13:48:01.000Z

2019-12-02T17:00:56.000Z

getArgs.py

xl3ehindTim/Code-buddy

e04b7b4327a0b3ff2790d22aef93dca6fce021f4

[ "MIT" ]

3

2019-11-29T10:03:44.000Z

2020-10-01T10:23:55.000Z

import sys def getArgs(i): return sys.argv[i]

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null

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5

90f60561d05117cfe409611463d54509592c9cd9

76

py

Python

src/utils/__init__.py

VeerSinghCurl/signature-extraction

2e04af078432c8c0168a478bbd52a5985cb0d95e

[ "MIT" ]

12

2020-12-18T12:33:13.000Z

2021-08-20T09:44:57.000Z

src/utils/__init__.py

VeerSinghCurl/signature-extraction

2e04af078432c8c0168a478bbd52a5985cb0d95e

[ "MIT" ]

1

2021-08-20T09:44:26.000Z

2021-09-12T10:34:17.000Z

src/utils/__init__.py

VeerSinghCurl/signature-extraction

2e04af078432c8c0168a478bbd52a5985cb0d95e

[ "MIT" ]

4

2021-05-05T02:58:57.000Z

2021-08-17T11:21:26.000Z

from .metrics import jaccard_score, f1_score from .utils import list_images

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1

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5

291e3e3a6a43cd00d593c1c32746ec0a88acbff7

47

py

Python

scripts/clear_leds.py

tominovak33/blinkt-scripts

cca45ba5bbb839f41db886861b5d6e7efe978c51

[ "MIT" ]

null

scripts/clear_leds.py

tominovak33/blinkt-scripts

cca45ba5bbb839f41db886861b5d6e7efe978c51

[ "MIT" ]

null

scripts/clear_leds.py

tominovak33/blinkt-scripts

cca45ba5bbb839f41db886861b5d6e7efe978c51

[ "MIT" ]

null

from blinkt import show, clear clear() show()

9.4

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4.857143

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5

291edad572d94ca0963aefca646fcad106689f89

124

py

Python

tests/fixtures/unused_import_comment_5.py

cdce8p/python-typing-update

2ad78b9ce4b5e3d8e8ff5dd35474c8e214d69983

[ "MIT" ]

5

2021-03-17T16:12:09.000Z

2021-09-12T22:19:51.000Z

tests/fixtures/unused_import_comment_5.py

cdce8p/python-typing-update

2ad78b9ce4b5e3d8e8ff5dd35474c8e214d69983

[ "MIT" ]

10

2021-03-23T18:14:24.000Z

2022-03-28T03:05:18.000Z

tests/fixtures/unused_import_comment_5.py

cdce8p/python-typing-update

2ad78b9ce4b5e3d8e8ff5dd35474c8e214d69983

[ "MIT" ]

2

2021-03-20T08:47:52.000Z

2021-06-07T04:02:02.000Z

"""Test unused import retention.""" import logging # unused-import from typing import Any, List var1: List[str] var2: Any

17.714286

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124

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5

46338fe3c8a73181e6a573bdaf51aae6bd16a3b4

298

py

Python

thefeck/rules/java.py

eoinjordan/thefeck

e04f50409ba3069ec6a9f7c0aab39ca835a41b68

[ "MIT" ]

null

thefeck/rules/java.py

eoinjordan/thefeck

e04f50409ba3069ec6a9f7c0aab39ca835a41b68

[ "MIT" ]

null

thefeck/rules/java.py

eoinjordan/thefeck

e04f50409ba3069ec6a9f7c0aab39ca835a41b68

[ "MIT" ]

null

"""Fixes common java command mistake Example: > java bar.java Error: Could not find or load main class bar.java """ from thefeck.utils import for_app @for_app('java') def match(command): return command.script.endswith('.java') def get_new_command(command): return command.script[:-5]

16.555556

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4.733333

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17

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null

0

1

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1

0

5

46357bdf93e0b3a5d0fc80de7dd3ca46ac12d016

23

py

Python

winshlex/__init__.py

jdjebi/winshlex

2caea0c0da08f6605aace4a6a3ba39030a532158

[ "MIT" ]

null

winshlex/__init__.py

jdjebi/winshlex

2caea0c0da08f6605aace4a6a3ba39030a532158

[ "MIT" ]

2

2020-08-04T13:31:14.000Z

2021-11-10T22:45:46.000Z

winshlex/__init__.py

jdjebi/winshlex

2caea0c0da08f6605aace4a6a3ba39030a532158

[ "MIT" ]

1

2020-08-02T08:50:55.000Z

from .lex import split

23

0.782609

4

23

4.5

1

0

0.173913

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1

23

0.947368

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true

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null

0

1

0

null

0

1

0

1

0

5

463d3d217a57ffc0b89fbdd5181bd0738801b637

233

py

Python

yepes/context_processors.py

samuelmaudo/yepes

1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb

[ "BSD-3-Clause" ]

null

yepes/context_processors.py

samuelmaudo/yepes

1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb

[ "BSD-3-Clause" ]

null

yepes/context_processors.py

samuelmaudo/yepes

1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb

[ "BSD-3-Clause" ]

null

# -*- coding:utf-8 -*- from django.contrib.sites.shortcuts import get_current_site def current_site(request): """ Returns the current site as context variable. """ return {'current_site': get_current_site(request)}

23.3

59

0.703863

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233

5.266667

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0.348101

0.177215

0

0.005181

0.171674

233

9

60

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0

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0

null

0

1

0

1

0

1

0

5

467638c0b9dd839518ce5fb519537fd054c4952e

150

py

Python

curso em video - Phython/desafios/desafio 7.py

ThyagoHiggins/LP-Phython

78e84aa77e786cc33b7d91397d17e93c3d5a692a

[ "MIT" ]

null

curso em video - Phython/desafios/desafio 7.py

ThyagoHiggins/LP-Phython

78e84aa77e786cc33b7d91397d17e93c3d5a692a

[ "MIT" ]

null

curso em video - Phython/desafios/desafio 7.py

ThyagoHiggins/LP-Phython

78e84aa77e786cc33b7d91397d17e93c3d5a692a

[ "MIT" ]

null

n1 = float(input('Write the first note: ')) n2 = float(input('Write the second note: ')) media= (n1+n2)/2 print(f'Your average is: {media:.1f} ')

21.428571

45

0.633333

25

150

3.8

0.68

0.210526

0.315789

0.378947

0

0.048

0.166667

150

6

46

25

0.712

0

0.506667

0

1

0

false

0

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1

0

null

1

0

1

0

null

0

5

d3b8b0979313019eb8f4c794250d8b1aa5bba8cf

340

py

Python

boucanpy/cli/alembic/__init__.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

34

2019-11-16T17:22:15.000Z

2022-02-11T23:12:46.000Z

boucanpy/cli/alembic/__init__.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

1

2021-02-09T09:34:55.000Z

2021-02-10T21:46:20.000Z

boucanpy/cli/alembic/__init__.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

9

2019-11-18T22:18:07.000Z

2021-02-08T13:23:51.000Z

from .alembic_current import AlembicCurrent from .alembic_downgrade import AlembicDowngrade from .alembic_history import AlembicHistory from .alembic_init import AlembicInit from .alembic_migrate import AlembicMigrate from .alembic_show import AlembicShow from .alembic_stamp import AlembicStamp from .alembic_upgrade import AlembicUpgrade

37.777778

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0.882353

40

340

7.3

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0.30137

0

0.094118

340

8

48

42.5

0.948052

0

1

0

true

0

1

0

1

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null

1

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1

0

null

0

1

0

1

0

1

0

5

31364f3a8fd79149cf3753e42953a2e3b6bf0464

173

py

Python

platform/core/polyaxon/crons/tasks/utils.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/crons/tasks/utils.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/crons/tasks/utils.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

from datetime import timedelta from typing import Any from django.utils.timezone import now def get_date_check(days: int) -> Any: return now() - timedelta(days=days)

19.222222

39

0.757225

26

173

4.961538

0.653846

0

0.16185

173

8

40

21.625

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0

1

0.2

false

0

0.6

0.2

1

0

1

0

null

0

1

0

null

0

1

0

5

318794d8913be4f19ae120eaa178f6640f0f0de8

705

py

Python

tests/test_utils.py

schinckel/pipeline-runner

5642e3ce33ba21d42289bc6e3592e8286b7321d3

[ "MIT" ]

6

2021-04-23T20:28:24.000Z

2022-02-12T14:55:27.000Z

tests/test_utils.py

schinckel/pipeline-runner

5642e3ce33ba21d42289bc6e3592e8286b7321d3

[ "MIT" ]

1

2022-01-17T14:43:04.000Z

tests/test_utils.py

schinckel/pipeline-runner

5642e3ce33ba21d42289bc6e3592e8286b7321d3

[ "MIT" ]

2

2022-01-16T23:32:11.000Z

2022-02-08T20:39:22.000Z

from pipeline_runner.utils import escape_shell_string def test_escape_shell_string(): assert escape_shell_string(r"echo \n") == r"echo \x5cn" assert escape_shell_string('echo ""') == r"echo \x22\x22" assert escape_shell_string("echo ''") == r"echo \x27\x27" assert escape_shell_string("echo $ENVVAR") == r"echo \x24ENVVAR" assert escape_shell_string("echo ${ENVVAR}") == r"echo \x24\x7bENVVAR\x7d" assert escape_shell_string("awk '(NR % 5 == 0)'") == r"awk \x27(NR \x25 5 == 0)\x27" assert ( escape_shell_string(r"cat /proc/$$/environ | xargs -0 -n1 echo | tr '\n' ','") == r"cat /proc/\x24\x24/environ | xargs -0 -n1 echo | tr \x27\x5cn\x27 \x27,\x27" )

47

89

0.64539

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705

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0.227586

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0.370115

0.542529

0.418391

0.321839

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0

0.072539

0.178723

705

14

90

50.357143

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0

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true

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1

0

null

0

1

0

1

0

5

31a0d94323b26a2d9a9191a7f28b56c54543b4bd

187

py

Python

tests/test_bot_twitch.py

c-py/cigargary-bot

ad78e10640cad462224ec995b9c4d377229f89d7

[ "MIT" ]

3

2021-09-22T23:37:47.000Z

2022-01-13T06:23:38.000Z

tests/test_bot_twitch.py

c-py/cigargary-bot

ad78e10640cad462224ec995b9c4d377229f89d7

[ "MIT" ]

4

2021-09-19T11:11:07.000Z

2021-10-03T10:06:37.000Z

tests/test_bot_twitch.py

ShivanS93/cigargary-bot

ad78e10640cad462224ec995b9c4d377229f89d7

[ "MIT" ]

null

import pytest from bots.twitch import TwitchBot @pytest.fixture def default_bot(): return TwitchBot() def test_exists(default_bot): assert isinstance(default_bot, TwitchBot)

14.384615

45

0.770053

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187

5.833333

0.625

0.214286

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0.15508

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12

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null

0

1

0

1

0

5

31e9d515337ef2fd74220fe7a6a86d334cb94e94

369

py

Python

cursesinquirer/question.py

Kemichal/cursesinquirer

48c36b50f51da1108dd634aeaaedba12edca098a

[ "MIT" ]

null

cursesinquirer/question.py

Kemichal/cursesinquirer

48c36b50f51da1108dd634aeaaedba12edca098a

[ "MIT" ]

1

2017-05-27T23:21:52.000Z

cursesinquirer/question.py

Kemichal/cursesinquirer

48c36b50f51da1108dd634aeaaedba12edca098a

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod class Question(metaclass=ABCMeta): @abstractmethod def set_screen(self, screen): raise NotImplementedError @abstractmethod def input(self, c): raise NotImplementedError @abstractmethod def renderer(self): raise NotImplementedError @abstractmethod def answer(self): raise NotImplementedError

21.705882

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0.756098

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369

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null

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null

0

1

0

1

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5

9ec48b8ff7b6af89b091b06d1ad21b412b353a69

141

py

Python

SadovaHW/HW5/CW_5.1.py

kolyasalubov/Lv-639.pythonCore

06f10669a188318884adb00723127465ebdf2907

[ "MIT" ]

null

SadovaHW/HW5/CW_5.1.py

kolyasalubov/Lv-639.pythonCore

06f10669a188318884adb00723127465ebdf2907

[ "MIT" ]

null

SadovaHW/HW5/CW_5.1.py

kolyasalubov/Lv-639.pythonCore

06f10669a188318884adb00723127465ebdf2907

[ "MIT" ]

null

def zero_fuel(distance_to_pump, mpg, fuel_left): if fuel_left*mpg >= distance_to_pump: return True else: return False

28.2

48

0.673759

21

141

4.190476

0.619048

0.227273

0.318182

0

0.255319

141

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28.2

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1

0

1

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null

0

1

0

5

9ec97c809f2594e23336a27bd9add30c8f7a2588

104

py

Python

example.py

gemetalreg/test

c680fcc92c7a7a37ba90a05c03e7a0d0175effd5

[ "MIT" ]

null

example.py

gemetalreg/test

c680fcc92c7a7a37ba90a05c03e7a0d0175effd5

[ "MIT" ]

null

example.py

gemetalreg/test

c680fcc92c7a7a37ba90a05c03e7a0d0175effd5

[ "MIT" ]

null

def git_operation(): print("I am adding example.py file to the remote repository.") git_operation()

26

66

0.740385

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104

4.6875

0.875

0.32

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0.153846

104

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34.666667

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null

1

0

1

0

null

0

1

0

5

9ed0ccd573c4f8d88c598c7e233fd10ea5d999dd

5,132

py

Python

new/stage_two.py

shvdiwnkozbw/Multi-Source-Sound-Localization

de67ce37f34f776112cf9b3d61e105388afc4116

[ "BSD-3-Clause-Attribution" ]

38

2020-03-14T05:55:07.000Z

2022-03-16T12:18:37.000Z

new/stage_two.py

shvdiwnkozbw/Multi-Source-Sound-Localization

de67ce37f34f776112cf9b3d61e105388afc4116

[ "BSD-3-Clause-Attribution" ]

8

2020-07-16T10:33:28.000Z

2021-11-09T02:52:17.000Z

new/stage_two.py

shvdiwnkozbw/Multi-Source-Sound-Localization

de67ce37f34f776112cf9b3d61e105388afc4116

[ "BSD-3-Clause-Attribution" ]

9

2020-07-21T08:19:46.000Z

2022-03-07T12:58:11.000Z

import torch import torch.nn as nn import torch.nn.functional as F def filter_prob(cls_a, cls_v, thres): assert cls_a.shape == cls_v.shape prob_a = F.sigmoid(cls_a).view(-1) prob_v = F.sigmoid(cls_v).view(-1) eff_a = (prob_a.unsqueeze(1)>thres) eff_v = (prob_v.unsqueeze(0)>thres) eff = eff_a * eff_v eff = eff.type(torch.FloatTensor).to(cls_a.device) # eff = eff * (prob_a.unsqueeze(1) * prob_v.unsqueeze(0)) return eff def contrastive(fine_a, fine_v): assert fine_a.shape == fine_v.shape assert fine_a.shape[1] == 128 fine_a = fine_a.permute(0, 2, 1).contiguous().view(-1, 128) fine_v = fine_v.permute(0, 2, 1).contiguous().view(-1, 128) similarity = torch.mm(fine_a, fine_v.permute(1, 0).contiguous()) return similarity class Align(nn.Module): def __init__(self, vision, audio): super(Align, self).__init__() self.vision = vision self.audio = audio self.avc = nn.Sequential( nn.Linear(1024, 128), nn.ReLU(True), nn.Linear(128, 2) ) self.project_a = nn.Sequential( nn.Conv1d(512, 1024, 1, bias=False), nn.ReLU(True), nn.Conv1d(1024, 128, 1, bias=False) ) self.project_v = nn.Sequential( nn.Conv1d(512, 1024, 1, bias=False), nn.ReLU(True), nn.Conv1d(1024, 128, 1, bias=False) ) self.class_a = nn.Conv2d(512, 7, 1, bias=False) self.class_v = nn.Conv2d(512, 7, 1, bias=False) self.avgpool = nn.AdaptiveAvgPool2d((1, 1)) def forward(self, spec, img): N = spec.shape[0] feat_a = self.audio(spec) feat_v = self.vision(img) cam_a = F.relu(self.class_a(feat_a)).detach() cam_v = F.relu(self.class_v(feat_v)).detach() fine_a = feat_a.unsqueeze(2) * cam_a.unsqueeze(1) fine_v = feat_v.unsqueeze(2) * cam_v.unsqueeze(1) weight_a = torch.sum(cam_a.view(*cam_a.shape[:2], -1), -1) weight_v = torch.sum(cam_v.view(*cam_v.shape[:2], -1), -1) fine_a = torch.mean(fine_a.view(*fine_a.shape[:3], -1), -1) fine_v = torch.mean(fine_v.view(*fine_v.shape[:3], -1), -1) fine_a = fine_a / (weight_a.unsqueeze(1)+1e-10) fine_v = fine_v / (weight_v.unsqueeze(1)+1e-10) fine_a = self.project_a(fine_a) fine_v = self.project_v(fine_v) fine_a = F.normalize(fine_a, p=2, dim=1) fine_v = F.normalize(fine_v, p=2, dim=1) feat_a = self.avgpool(feat_a) feat_v = self.avgpool(feat_v) fusion = torch.cat([feat_a.unsqueeze(1).repeat([1, N, 1, 1, 1]), feat_v.unsqueeze(0).repeat([N, 1, 1, 1, 1])], 2) fusion = torch.flatten(fusion, 2) avc = self.avc(fusion) cls_a = self.class_a(feat_a) cls_v = self.class_v(feat_v) return avc, cls_a.flatten(1), cls_v.flatten(1), fine_a, fine_v class Location(nn.Module): def __init__(self, vision, audio): super(Location, self).__init__() self.vision = vision self.audio = audio self.avc = nn.Sequential( nn.Linear(1024, 128), nn.ReLU(True), nn.Linear(128, 2) ) self.project_a = nn.Sequential( nn.Conv1d(512, 1024, 1, bias=False), nn.ReLU(True), nn.Conv1d(1024, 128, 1, bias=False) ) self.project_v = nn.Sequential( nn.Conv1d(512, 1024, 1, bias=False), nn.ReLU(True), nn.Conv1d(1024, 128, 1, bias=False) ) self.class_a = nn.Conv2d(512, 7, 1, bias=False) self.class_v = nn.Conv2d(512, 7, 1, bias=False) self.avgpool = nn.AdaptiveAvgPool2d((1, 1)) def forward(self, spec, img): N = spec.shape[0] feat_a = self.audio(spec) feat_v = self.vision(img) cam_a = F.relu(self.class_a(feat_a)) cam_v = F.relu(self.class_v(feat_v)) fine_a = feat_a.unsqueeze(2) * cam_a.unsqueeze(1) weight_a = torch.sum(cam_a.view(*cam_a.shape[:2], -1), -1) fine_a = torch.mean(fine_a.view(*fine_a.shape[:3], -1), -1) fine_a = fine_a / (weight_a.unsqueeze(1)+1e-10) fine_a = self.project_a(fine_a) fine_v = self.project_v(feat_v.view(*feat_v.shape[:2], -1)) fine_a = F.normalize(fine_a, p=2, dim=1) fine_v = F.normalize(fine_v, p=2, dim=1) feat_a = self.avgpool(feat_a) feat_v = self.avgpool(feat_v) align_a = self.project_a(feat_a.flatten(2)) align_v = self.project_v(feat_v.flatten(2)) fusion = torch.cat([feat_a.unsqueeze(1).repeat([1, N, 1, 1, 1]), feat_v.unsqueeze(0).repeat([N, 1, 1, 1, 1])], 2) fusion = torch.flatten(fusion, 2) avc = self.avc(fusion) cls_a = self.class_a(feat_a) cls_v = self.class_v(feat_v) return avc, cls_a.flatten(1), cls_v.flatten(1), fine_a, fine_v, cam_a, cam_v,\ align_a, align_v

38.014815

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0.563523

808

5,132

3.371287

0.096535

0.051395

0.044053

0.041116

0.756608

0.748164

0.701909

0.684288

0

0.062329

0.287217

5,132

135

87

38.014815

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false

0

0.025424

0

0.127119

0

null

0

1

0

null

0

5

9ef9c00f44485090be066349b460d46757009fd4

303

py

Python

conftest.py

pganssle/pytz-deprecation-shim

47bd4bdd9346cafa6c6d66817082ccce099890ad

[ "ECL-2.0", "Apache-2.0" ]

6

2020-06-15T20:23:16.000Z

2021-11-11T16:37:02.000Z

conftest.py

pganssle/pytz-deprecation-shim

47bd4bdd9346cafa6c6d66817082ccce099890ad

[ "ECL-2.0", "Apache-2.0" ]

10

2020-06-11T21:37:09.000Z

2021-11-15T17:47:36.000Z

conftest.py

pganssle/pytz-deprecation-shim

47bd4bdd9346cafa6c6d66817082ccce099890ad

[ "ECL-2.0", "Apache-2.0" ]

1

2022-03-12T11:19:07.000Z

import os from datetime import timedelta import hypothesis hypothesis.settings.register_profile("long", max_examples=5000) hypothesis.settings.register_profile( "ci", max_examples=2000, deadline=timedelta(seconds=1) ) hypothesis.settings.load_profile(os.getenv(u"HYPOTHESIS_PROFILE", "default"))

25.25

77

0.811881

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303

6.315789

0.578947

0.225

0.216667

0.275

0

0.032258

0.079208

303

11

78

27.545455

0.827957

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0.10231

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true

0

0.375

0

0.375

0

null

1

0

null

0

1

0

1

0

5

730f98c7fda27d07d26ce7549b35750f2aee7d00

119

py

Python

6.evenodd.py

shaunakganorkar/PythonMeetup-2014

a845b1612b5755eeb3b91ba34f3339327763fdfe

[ "MIT" ]

null

6.evenodd.py

shaunakganorkar/PythonMeetup-2014

a845b1612b5755eeb3b91ba34f3339327763fdfe

[ "MIT" ]

null

6.evenodd.py

shaunakganorkar/PythonMeetup-2014

a845b1612b5755eeb3b91ba34f3339327763fdfe

[ "MIT" ]

null

num=int(raw_input("Enter a Number: ")) if num%2==0: print "Number is Even" else: print"Number is Odd"

14.875

39

0.596639

20

119

3.5

0.75

0.314286

0.371429

0

0.022727

0.260504

119

7

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17

0.772727

0

0.387387

0

null

0

null

0.4

1

0

null

1

0

1

0

null

0

1

0

5

73163bf3ed2d17bb9b82fede6b66ac4b13e2a359

62

py

Python

CovertMark/data/__init__.py

chongyangshi/CovertMark

a3156b45acceadf5fc1b9a56fa56550b4893c285

[ "MIT" ]

4

2021-01-04T09:00:33.000Z

2021-10-02T13:37:03.000Z

CovertMark/data/__init__.py

chongyangshi/CovertMark

a3156b45acceadf5fc1b9a56fa56550b4893c285

[ "MIT" ]

null

CovertMark/data/__init__.py

chongyangshi/CovertMark

a3156b45acceadf5fc1b9a56fa56550b4893c285

[ "MIT" ]

null

from . import constants, mongo, parser, retrieve, utils, plot

31

61

0.758065

8

62

5.875

1

0

0.145161

62

1

62

0.886792

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b476e70912755a1b7dacf16afc4b4e447affa427

161

py

Python

src/datacatalog_custom_entries_manager/__init__.py

ricardolsmendes/datacatalog-custom-entries-manager

a9eba9bbc7663715dd4b5b60cde79088e1b5bf79

[ "MIT" ]

1

2020-09-04T11:25:08.000Z

src/datacatalog_custom_entries_manager/__init__.py

ricardolsmendes/datacatalog-custom-types-manager

a9eba9bbc7663715dd4b5b60cde79088e1b5bf79

[ "MIT" ]

1

2020-12-26T21:21:11.000Z

2020-12-26T21:31:14.000Z

src/datacatalog_custom_entries_manager/__init__.py

ricardolsmendes/datacatalog-custom-entries-manager

a9eba9bbc7663715dd4b5b60cde79088e1b5bf79

[ "MIT" ]

null

from .custom_entries_synchronizer import CustomEntriesSynchronizer from .custom_entries_manager_cli import main __all__ = ('CustomEntriesSynchronizer', 'main')

32.2

66

0.857143

16

161

8.0625

0.625

0.155039

0.263566

0

0.080745

161

4

67

40.25

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0

0.180124

0.15528

0

1

0

false

0

0.666667

0

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null

0

1

0

1

0

null

0

1

0

1

0

5

c3088f4defa32b2b063b03144efeebdaf6964822

315

py

Python

test/data/testapp-v4/main/views.py

dpaola2/djangy

4b10e681cb49e5c16aba4429dfbfadfd9b512463

[ "NCSA" ]

15

2015-02-14T02:39:04.000Z

2021-12-13T14:17:15.000Z

test/data/testapp-v4/main/views.py

ojengwa/djangy

4b10e681cb49e5c16aba4429dfbfadfd9b512463

[ "NCSA" ]

null

test/data/testapp-v4/main/views.py

ojengwa/djangy

4b10e681cb49e5c16aba4429dfbfadfd9b512463

[ "NCSA" ]

11

2015-08-07T11:47:02.000Z

2021-04-29T08:08:24.000Z

import os from django.http import HttpResponse from main.models import * def index(request): return HttpResponse('testapp.main second edition') def add_foo(request): f = Foo(name="bar") f.save() return HttpResponse("bar") def count_rows(request): return HttpResponse(Foo.objects.all.count())

21

54

0.720635

43

315

5.232558

0.581395

0.24

0.222222

0

0.161905

315

14

55

22.5

0.852273

0

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0

1

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false

0

0.272727

0.181818

0.818182

0

null

1

0

null

0

1

0

1

0

5

c333c6982d1ecc0b96522bd60a386a9ec8fc7c17

11,336

py

Python

src/insulaudit/lib.py

bewest/insulaudit

2c0aa04a596775517a1e651723796dc19ea99ea7

[ "MIT" ]

22

2015-03-10T20:50:23.000Z

2020-11-28T13:23:54.000Z

src/insulaudit/lib.py

bewest/insulaudit

2c0aa04a596775517a1e651723796dc19ea99ea7

[ "MIT" ]

2

2016-03-13T12:56:34.000Z

2018-11-17T18:11:43.000Z

src/insulaudit/lib.py

bewest/insulaudit

2c0aa04a596775517a1e651723796dc19ea99ea7

[ "MIT" ]

10

2015-06-14T21:30:59.000Z

2018-09-13T19:01:43.000Z

""" This module provides some basic helper/formatting utilities. >>> hexdump( bytearray( [0x00] ) ) '0000 0x00 .' >>> 0x00 == HighByte( 0x0F ) True >>> 0x0F == LowByte( 0x0F ) True >>> CRC16CCITT.compute( bytearray( [ 2, 6, 6, 3 ] ) ) 16845 >>> CRC16CCITT.compute( bytearray( [ 0x02, 0x09, 0x00, ... 0x05, 0x0D, 0x02, 0x03 ] ) ) 29146 >>> BangInt( bytearray( [ 0x71, 0xDA ] ) ) 29146 >>> BangInt( bytearray( [ 0x62, 0xC2 ] ) ) == CRC16CCITT.compute( bytearray( [ 2, 0x06, 0x08, 3 ] ) ) True >>> CRC8.compute( bytearray( [ 0x00, 0xFF, 0x00 ] ) ) 177 >>> BangInt( bytearray( [ 0x02, 0X02 ] ) ) 514 >>> BangLong( bytearray( [ 0x0, 0X0, 0x02, 0x02 ] ) ) 514L """ import dateutil.parser def _fmt_hex( bytez ): return ' '.join( [ '%#04x' % x for x in list( bytez ) ] ) def _fmt_txt( bytez ): return ''.join( [ chr( x ) if 0x20 <= x < 0x7F else '.' \ for x in bytez ] ) class parse: @staticmethod def date( data ): """ >>> parse.date( '2010-11-10T01:46:00' ).isoformat( ) '2010-11-10T01:46:00' >>> parse.date( '2010-11-10 01:46:00' ).isoformat( ) '2010-11-10T01:46:00' >>> parse.date( '2010-11-10 01:46PM' ).isoformat( ) '2010-11-10T13:46:00' >>> parse.date( '2010-11-10 13:46' ).isoformat( ) '2010-11-10T13:46:00' >>> parse.date( '2010-11-10 1:46AM' ).isoformat( ) '2010-11-10T01:46:00' """ return dateutil.parser.parse( data ) def hexdump( src, length=8 ): """ Return a string representing the bytes in src, length bytes per line. """ if len( src ) == 0: return '' result = [ ] digits = 4 if isinstance( src, unicode ) else 2 for i in xrange( 0, len( src ), length ): s = src[i:i+length] hexa = ' '.join( [ '%#04x' % x for x in list( s ) ] ) text = ''.join( [ chr(x) if 0x20 <= x < 0x7F else '.' \ for x in s ] ) result.append( "%04X %-*s %s" % \ ( i, length * 5 , hexa, text ) ) return '\n'.join(result) def HighByte( arg ): return arg >> 8 & 0xFF def LowByte( arg ): return arg & 0xFF class CRC16CCITT: lookup = [ 0, 4129, 8258, 12387, 16516, 20645, 24774, 28903, 33032, 37161, 41290, 45419, 49548, 53677, 57806, 61935, 4657, 528, 12915, 8786, 21173, 17044, 29431, 25302, 37689, 33560, 45947, 41818, 54205, 50076, 62463, 58334, 9314, 13379, 1056, 5121, 25830, 29895, 17572, 21637, 42346, 46411, 34088, 38153, 58862, 62927, 50604, 54669, 13907, 9842, 5649, 1584, 30423, 26358, 22165, 18100, 46939, 42874, 38681, 34616, 63455, 59390, 55197, 51132, 18628, 22757, 26758, 30887, 2112, 6241, 10242, 14371, 51660, 55789, 59790, 63919, 35144, 39273, 43274, 47403, 23285, 19156, 31415, 27286, 6769, 2640, 14899, 10770, 56317, 52188, 64447, 60318, 39801, 35672, 47931, 43802, 27814, 31879, 19684, 23749, 11298, 15363, 3168, 7233, 60846, 64911, 52716, 56781, 44330, 48395, 36200, 40265, 32407, 28342, 24277, 20212, 15891, 11826, 7761, 3696, 65439, 61374, 57309, 53244, 48923, 44858, 40793, 36728, 37256, 33193, 45514, 41451, 53516, 49453, 61774, 57711, 4224, 161, 12482, 8419, 20484, 16421, 28742, 24679, 33721, 37784, 41979, 46042, 49981, 54044, 58239, 62302, 689, 4752, 8947, 13010, 16949, 21012, 25207, 29270, 46570, 42443, 38312, 34185, 62830, 58703, 54572, 50445, 13538, 9411, 5280, 1153, 29798, 25671, 21540, 17413, 42971, 47098, 34713, 38840, 59231, 63358, 50973, 55100, 9939, 14066, 1681, 5808, 26199, 30326, 17941, 22068, 55628, 51565, 63758, 59695, 39368, 35305, 47498, 43435, 22596, 18533, 30726, 26663, 6336, 2273, 14466, 10403, 52093, 56156, 60223, 64286, 35833, 39896, 43963, 48026, 19061, 23124, 27191, 31254, 2801, 6864, 10931, 14994, 64814, 60687, 56684, 52557, 48554, 44427, 40424, 36297, 31782, 27655, 23652, 19525, 15522, 11395, 7392, 3265, 61215, 65342, 53085, 57212, 44955, 49082, 36825, 40952, 28183, 32310, 20053, 24180, 11923, 16050, 3793, 7920 ] @classmethod def compute( klass, block ): result = 65535 #result = 0 for i in xrange( len( block ) ): tmp = block[ i ] ^ result >> 8 result = ( klass.lookup[ tmp ] ^ result << 8 ) & 0xFFFF return result class CRC8: lookup = [ 0, 155, 173, 54, 193, 90, 108, 247, 25, 130, 180, 47, 216, 67, 117, 238, 50, 169, 159, 4, 243, 104, 94, 197, 43, 176, 134, 29, 234, 113, 71, 220, 100, 255, 201, 82, 165, 62, 8, 147, 125, 230, 208, 75, 188, 39, 17, 138, 86, 205, 251, 96, 151, 12, 58, 161, 79, 212, 226, 121, 142, 21, 35, 184, 200, 83, 101, 254, 9, 146, 164, 63, 209, 74, 124, 231, 16, 139, 189, 38, 250, 97, 87, 204, 59, 160, 150, 13, 227, 120, 78, 213, 34, 185, 143, 20, 172, 55, 1, 154, 109, 246, 192, 91, 181, 46, 24, 131, 116, 239, 217, 66, 158, 5, 51, 168, 95, 196, 242, 105, 135, 28, 42, 177, 70, 221, 235, 112, 11, 144, 166, 61, 202, 81, 103, 252, 18, 137, 191, 36, 211, 72, 126, 229, 57, 162, 148, 15, 248, 99, 85, 206, 32, 187, 141, 22, 225, 122, 76, 215, 111, 244, 194, 89, 174, 53, 3, 152, 118, 237, 219, 64, 183, 44, 26, 129, 93, 198, 240, 107, 156, 7, 49, 170, 68, 223, 233, 114, 133, 30, 40, 179, 195, 88, 110, 245, 2, 153, 175, 52, 218, 65, 119, 236, 27, 128, 182, 45, 241, 106, 92, 199, 48, 171, 157, 6, 232, 115, 69, 222, 41, 178, 132, 31, 167, 60, 10, 145, 102, 253, 203, 80, 190, 37, 19, 136, 127, 228, 210, 73, 149, 14, 56, 163, 84, 207, 249, 98, 140, 23, 33, 186, 77, 214, 224, 123 ] @classmethod def compute( klass, block ): result = 0 for i in xrange( len( block ) ): result = klass.lookup[ ( result ^ block[ i ] & 0xFF ) ] return result def BangLong( bytez ): ( a, b, c, d ) = bytez l = a << 24 | b << 16 | c << 8 | d; return long( l ) def BangInt( ints ): ( x, y ) = ints return ( x & 0xFF ) << 8 | y & 0xFF; def makeByte(highNibble, lowNibble): """ 0 <= highNibble <= 15 0 <= lowNibble <= 15 0 <= result <= 255 """ result = highNibble << 4 | lowNibble & 0xF return result ENCODE_TABLE = [ 21, 49, 50, 35, 52, 37, 38, 22, 26, 25, 42, 11, 44, 13, 14, 28 ] _enc_test_1 = [ 0xA7, 0x47, 0x33, 0x62, 0x5D, 0x02, 0x01, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0C ] _enc_result_1 = [ 0xA9, 0x6D, 0x16, 0x8E, 0x39, 0xB2, 0x94, 0xD5, 0x72, 0x57, 0x15, 0x71, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x56, 0xC5 ] _enc_test_2 = [0xA7, 0x47, 0x33, 0x62, 0x8D, 0x00, 0xA6] _enc_result_2 = [0xA9, 0x6D, 0x16, 0x8E, 0x39, 0xB2, 0x68, 0xD5, 0x55, 0xAA, 0x65] def encodeDC(msg): """ >>> encodeDC(_enc_test_1) == bytearray(_enc_result_1) True >>> encodeDC(_enc_test_2) == bytearray(_enc_result_2) True """ msg = bytearray(msg) # realign bytes nibbles = [ ] result = [ ] # collect nibbles for b in msg: highNibble = b >> 4 & 0xF lowNibble = b & 0xF dcValue1 = ENCODE_TABLE[highNibble] dcValue2 = ENCODE_TABLE[lowNibble] nibbles.append(dcValue1 >> 2) high2Bits = dcValue1 & 0x3 low2Bits = dcValue2 >> 4 & 0x3 nibbles.append( high2Bits << 2 | low2Bits ) nibbles.append( dcValue2 & 0xF ) for i in xrange(0, len(nibbles), 2): # last item gets a padding terminator high, low = nibbles[i], 5 # most elide the next item if i < len(nibbles) - 1: low = nibbles[i+1] result.append(makeByte(high, low)) return bytearray(result) _decode_test_1 = [0xA9, 0x6D, 0x16, 0x8E, 0x39, 0xB2, 0x68, 0xD5, 0x59, 0x56, 0x38, 0xD6, 0x8F, 0x28, 0xF2, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0xB3, 0x25] _decode_result_1 = [0xA7, 0x47, 0x33, 0x62, 0x8D, 0x09, 0x03, 0x37, 0x32, 0x32, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xC2] _decode_test_2 = [0xA9, 0x6D, 0x16, 0x8E, 0x39, 0xB2, 0x56, 0x65, 0x55, 0x56, 0x35] _decode_result_2 = [0xA7, 0x47, 0x33, 0x62, 0x06, 0x00, 0x03] def decodeDC(msg): """ >>> decodeDC(_decode_test_1) == bytearray(_decode_result_1) True >>> decodeDC(_decode_test_2) == bytearray(_decode_result_2) True """ msg = bytearray(msg) result = [ ] nibbleCount = 0 bitCount = 0 sixBitValue = 0 highValue = 0 highNibble = 0 # for B in msg: bP = 7 while bP >= 0: bitValue = B >> bP & 0x1 sixBitValue = sixBitValue << 1 | bitValue bitCount += 1 if bitCount != 6: bP -= 1 continue; # next nibbleCount += 1 if nibbleCount == 1: highNibble = decodeDCByte(sixBitValue) else: lowNibble = decodeDCByte(sixBitValue) byteValue = makeByte(highNibble, lowNibble) # append to result result.append(byteValue) nibbleCount = 0 sixBitValue = 0 bitCount = 0 bP -= 1 return bytearray(result) def decodeDCByte(B): # B should be 0 < B && B < 63 # look up in decode table return ENCODE_TABLE.index(B) if __name__ == '__main__': import doctest doctest.testmod( ) ##### # EOF

34.247734

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5

c35c4b6b57d7432beb47ac9d0dc77353d71ed585

45

py

Python

maskrcnn_benchmark/data/datasets/file_name.py

meryusha/seeds_faster

a80cd144c2826cdee5dd929087005f57567ae367

[ "MIT" ]

1

2021-12-06T10:47:31.000Z

maskrcnn_benchmark/data/datasets/file_name.py

SilvioGiancola/seeds_faster

4c6a1f1fa71beff7c9d0722d134eb1291f57983e

[ "MIT" ]

null

maskrcnn_benchmark/data/datasets/file_name.py

SilvioGiancola/seeds_faster

4c6a1f1fa71beff7c9d0722d134eb1291f57983e

[ "MIT" ]

1

2019-07-18T13:57:07.000Z

import os for filename in os.listdir("xyz"):

22.5

35

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5

5eeee9d991e2b0e9f3c3e13df443b021d94613ec

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py

Python

simulation/common/__init__.py

LBNL-ETA/LPDM

3384a784b97e49cd7a801b758717a7107a51119f

[ "BSD-3-Clause-LBNL" ]

2

2019-01-05T02:33:38.000Z

2020-04-22T16:57:50.000Z

simulation/common/__init__.py

LBNL-ETA/LPDM

3384a784b97e49cd7a801b758717a7107a51119f

[ "BSD-3-Clause-LBNL" ]

3

2019-04-17T18:13:08.000Z

2021-04-23T22:40:23.000Z

simulation/common/__init__.py

LBNL-ETA/LPDM

3384a784b97e49cd7a801b758717a7107a51119f

[ "BSD-3-Clause-LBNL" ]

1

2019-01-31T08:37:44.000Z

from device_class_loader import DeviceClassLoader

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5

6f2788a7e2c2f3c146e18084a5bf00d6f054331e

32

py

Python

rlberry/agents/jax/__init__.py

riccardodv/rlberry

8bb03772cda1e13c57de0e1da7bc7356a3014cfb

[ "MIT" ]

86

2020-11-20T21:02:27.000Z

2022-03-07T14:57:40.000Z

rlberry/agents/jax/__init__.py

riccardodv/rlberry

8bb03772cda1e13c57de0e1da7bc7356a3014cfb

[ "MIT" ]

103

2020-11-17T12:31:21.000Z

2022-03-28T13:46:16.000Z

rlberry/agents/jax/__init__.py

riccardodv/rlberry

8bb03772cda1e13c57de0e1da7bc7356a3014cfb

[ "MIT" ]

20

2020-11-23T01:47:50.000Z

2022-03-25T07:45:24.000Z

# from .dqn.dqn import DQNAgent

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null

0

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5

6f28d62470f34e5453e7e8d6a3b217436edaadce

67

py

Python

element/utility.py

antopenrf/FLO

3183af8f4ee63d6ba2188551e322943a2874054a

[ "MIT" ]

3

2021-06-06T14:00:22.000Z

2021-06-07T12:48:19.000Z

element/utility.py

antopenrf/FLO

3183af8f4ee63d6ba2188551e322943a2874054a

[ "MIT" ]

3

2019-03-16T18:22:29.000Z

2021-06-06T14:03:07.000Z

element/utility.py

antopenrf/FLO

3183af8f4ee63d6ba2188551e322943a2874054a

[ "MIT" ]

1

2017-09-27T14:05:38.000Z

def prompt_out(input_text, mode = 'term'): print(input_text)

13.4

42

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67

4.3

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1

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1

0

5

6f3182248b8260388b2540edd5d3d8139f1e9da8

95

py

Python

medical_prescription/dashboardHealthProfessional/views/__init__.py

ristovao/2017.2-Receituario-Medico

5387eb80dfb354e948abe64f7d8bbe087fc4f136

[ "MIT" ]

11

2017-09-19T00:29:40.000Z

2018-04-05T23:52:39.000Z

medical_prescription/dashboardHealthProfessional/views/__init__.py

ristovao/2017.2-Receituario-Medico

5387eb80dfb354e948abe64f7d8bbe087fc4f136

[ "MIT" ]

271

2017-09-09T00:07:28.000Z

2017-12-07T05:00:45.000Z

medical_prescription/dashboardHealthProfessional/views/__init__.py

ristovao/2017.2-Receituario-Medico

5387eb80dfb354e948abe64f7d8bbe087fc4f136

[ "MIT" ]

26

2017-08-31T20:48:49.000Z

2018-03-21T15:11:27.000Z

from .home_health_professional import HomeHealthProfessional from .chart_data import ChartData

31.666667

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1

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5

6f4105bc155d3b1767291aa3047c974d64c78194

45

py

Python

prac_first.py

sandunijayasundara/IBM_Test

42847a8bc43b2642224c5dfbaed47f5235c5daaa

[ "MIT" ]

null

prac_first.py

sandunijayasundara/IBM_Test

42847a8bc43b2642224c5dfbaed47f5235c5daaa

[ "MIT" ]

null

prac_first.py

sandunijayasundara/IBM_Test

42847a8bc43b2642224c5dfbaed47f5235c5daaa

[ "MIT" ]

null

#### Print Hello World prinrt("Hello World")

15

22

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0

null

0

1

0

5

6f5202804dda82caa07940aec05c9d9b89bb74b5

64

py

Python

train/torch/nlp/network/bert/seq_cls_ft.py

charliemorning/mlws

8e9bad59ca9f5e774cc1ae7fe454ff3b8a8e1784

[ "MIT" ]

null

train/torch/nlp/network/bert/seq_cls_ft.py

charliemorning/mlws

8e9bad59ca9f5e774cc1ae7fe454ff3b8a8e1784

[ "MIT" ]

null

train/torch/nlp/network/bert/seq_cls_ft.py

charliemorning/mlws

8e9bad59ca9f5e774cc1ae7fe454ff3b8a8e1784

[ "MIT" ]

null

import torch from transformers import BertForTokenClassification

32

51

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64

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0.833333

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0.078125

64

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true

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1

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null

0

1

0

1

0

1

0

5

6f760495a3d4c23f364717c623ceba499af15c63

23

py

Python

src/__init__.py

jeffrylazo/javicho

9cdb4b9c016b7288eec5f8678e9dc347e810ce8a

[ "BSD-3-Clause" ]

null

src/__init__.py

jeffrylazo/javicho

9cdb4b9c016b7288eec5f8678e9dc347e810ce8a

[ "BSD-3-Clause" ]

null

src/__init__.py

jeffrylazo/javicho

9cdb4b9c016b7288eec5f8678e9dc347e810ce8a

[ "BSD-3-Clause" ]

null

from .core import Data

11.5

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4.5

1

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1

23

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0

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5

6f7932a0a9d31e1e8b1c57ababa18389f480ab79

190

py

Python

backend/alexandria/modules/utils/vendor/flask_restplus_patched/__init__.py

oclay1st/Alexandria

9922cb5b2f8351ef8562bd4d45f56cec9a24d837

[ "MIT" ]

null

backend/alexandria/modules/utils/vendor/flask_restplus_patched/__init__.py

oclay1st/Alexandria

9922cb5b2f8351ef8562bd4d45f56cec9a24d837

[ "MIT" ]

1

2020-03-02T19:35:48.000Z

backend/alexandria/modules/utils/vendor/flask_restplus_patched/__init__.py

oclay1st/alexandria

9922cb5b2f8351ef8562bd4d45f56cec9a24d837

[ "MIT" ]

null

from .api import Api from .namespace import Namespace from .parameters import Parameters, multi_params from .resource import Resource from .schema import Schema from .swagger import Swagger

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py

Python

armi/physics/neutronics/energyGroups.py

ZanderUF/armi

c55ebe4d77821d3357ddd3326478ffaf44962c89

[ "Apache-2.0" ]

null

armi/physics/neutronics/energyGroups.py

ZanderUF/armi

c55ebe4d77821d3357ddd3326478ffaf44962c89

[ "Apache-2.0" ]

null

armi/physics/neutronics/energyGroups.py

ZanderUF/armi

c55ebe4d77821d3357ddd3326478ffaf44962c89

[ "Apache-2.0" ]

1

2020-08-26T09:02:06.000Z

""" Energy group structures for multigroup neutronics calculations. """ import itertools import copy import math import numpy from armi import utils from armi import runLog from .const import ( FAST_FLUX_THRESHOLD_EV, MAXIMUM_XS_LIBRARY_ENERGY, ULTRA_FINE_GROUP_LETHARGY_WIDTH, HIGH_ENERGY_EV, ) def getFastFluxGroupCutoff(eGrpStruc): """ Given a constant "fast" energy threshold, return which ARMI energy group index contains this threshold. """ gThres = -1 for g, eV in enumerate(eGrpStruc): if eV < FAST_FLUX_THRESHOLD_EV: gThres = g break dE = eGrpStruc[gThres - 1] - eGrpStruc[gThres] # eV fastFluxFracInG = (eGrpStruc[gThres - 1] - FAST_FLUX_THRESHOLD_EV) / dE return gThres - 1, fastFluxFracInG def _flatten(*numbers): result = [] for item in numbers: if isinstance(item, int): result.append(item) else: result.extend(item) return result def _create_anl_energies_with_group_lethargies(*group_lethargies): anl_energy_max = MAXIMUM_XS_LIBRARY_ENERGY en = anl_energy_max energies = [] for ee in _flatten(*group_lethargies): energies.append(en) en *= math.e ** (-ee * ULTRA_FINE_GROUP_LETHARGY_WIDTH) return energies def getGroupStructure(name): """ Return descending neutron energy group upper bounds in eV for a given structure name. Notes ----- Copy of the group structure is return so that modifications of the energy bounds does not propagate back to the `GROUP_STRUCTURE` dictionary. """ try: return copy.copy(GROUP_STRUCTURE[name]) except KeyError as ke: runLog.error( 'Could not find groupStructure with the name "{}".\n' "Choose one of: {}".format(name, ", ".join(GROUP_STRUCTURE.keys())) ) raise ke def getGroupStructureType(neutronEnergyBoundsInEv): """ Return neutron energy group structure name for a given set of neutron energy group bounds in eV. """ neutronEnergyBoundsInEv = numpy.array(neutronEnergyBoundsInEv) for groupStructureType in GROUP_STRUCTURE: refNeutronEnergyBoundsInEv = numpy.array(getGroupStructure(groupStructureType)) if len(refNeutronEnergyBoundsInEv) != len(neutronEnergyBoundsInEv): continue if numpy.allclose(refNeutronEnergyBoundsInEv, neutronEnergyBoundsInEv, 1e-5): return groupStructureType raise ValueError( "Neutron energy group structure type does not exist for the given neutron energy bounds: {}".format( neutronEnergyBoundsInEv ) ) GROUP_STRUCTURE = {} """ Energy groups for use in multigroup neutronics. Values are the upper bound of each energy in eV from highest energy to lowest (because neutrons typically downscatter...) """ GROUP_STRUCTURE["2"] = [HIGH_ENERGY_EV, 6.25e-01] # Nuclear Reactor Engineering: Reactor Systems Engineering, Vol. 1 GROUP_STRUCTURE["4gGlasstoneSesonske"] = [HIGH_ENERGY_EV, 5.00e04, 5.00e02, 6.25e-01] # http://serpent.vtt.fi/mediawiki/index.php/CASMO_4-group_structure GROUP_STRUCTURE["CASMO4"] = [HIGH_ENERGY_EV, 8.21e05, 5.53e03, 6.25e-01] GROUP_STRUCTURE["CASMO12"] = [ HIGH_ENERGY_EV, 2.23e06, 8.21e05, 5.53e03, 4.81e01, 4.00e00, 6.25e-01, 3.50e-01, 2.80e-01, 1.40e-01, 5.80e-02, 3.00e-02, ] # For typically for use with MCNP will need conversion to MeV, # and ordering from low to high. GROUP_STRUCTURE["CINDER63"] = [ 2.5000e07, 2.0000e07, 1.6905e07, 1.4918e07, 1.0000e07, 6.0650e06, 4.9658e06, 3.6788e06, 2.8651e06, 2.2313e06, 1.7377e06, 1.3534e06, 1.1080e06, 8.2085e05, 6.3928e05, 4.9790e05, 3.8870e05, 3.0200e05, 1.8320e05, 1.1110e05, 6.7380e04, 4.0870e04, 2.5540e04, 1.9890e04, 1.5030e04, 9.1190e03, 5.5310e03, 3.3550e03, 2.8400e03, 2.4040e03, 2.0350e03, 1.2340e03, 7.4850e02, 4.5400e02, 2.7540e02, 1.6700e02, 1.0130e02, 6.1440e01, 3.7270e01, 2.2600e01, 1.3710e01, 8.3150e00, 5.0430e00, 3.0590e00, 1.8550e00, 1.1250e00, 6.8300e-01, 4.1400e-01, 2.5100e-01, 1.5200e-01, 1.0000e-01, 8.0000e-02, 6.7000e-02, 5.8000e-02, 5.0000e-02, 4.2000e-02, 3.5000e-02, 3.0000e-02, 2.5000e-02, 2.0000e-02, 1.5000e-02, 1.0000e-02, 5.0000e-03, ] # fmt: off # Group structures below here are derived from Appendix E in # https://www.osti.gov/biblio/1483949-mc2-multigroup-cross-section-generation-code-fast-reactor-analysis-nuclear GROUP_STRUCTURE["ANL9"] = _create_anl_energies_with_group_lethargies( 222, 120, itertools.repeat(180, 5), 540, 300 ) GROUP_STRUCTURE["ANL33"] = _create_anl_energies_with_group_lethargies( 42, itertools.repeat(60, 28), 90, 240, 29, 1 ) GROUP_STRUCTURE["ANL70"] = _create_anl_energies_with_group_lethargies( 42, itertools.repeat(30, 67), 29, 1 ) GROUP_STRUCTURE["ANL230"] = _create_anl_energies_with_group_lethargies( [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 3, 3, 3, 3, 3, 6, 6, 6, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 3, 3, 3, 3, 6, 6, 6, 6, 2, 2, 1, 1, 2, 2, 2, 6, 6, 3, 3, 3, 3, 6, 6, 3, 3, 3, 3, 6, 6, 6, 6, 3, 3, 6, 6, 6, 3, 2, 1, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 15, 15, 15, 15, 9, 6, 6, 9, 15, 15, 15, 3, 3, 9, 15, 9, 6, 3, 3, 9, 3, 12, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 12, 12, 6, 6, 12, 12, 12, 7, 5, 6, 6, 12, 12, 12, 12, 6, 6, 12, 12, 6, 6, 6, 6, 6, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 6, 24, 10, 20, 29, 1, ] ) # Reactor agnostic. Similar to ANL1041 but with 6 UFGs grouped together. # More likely to not error out on memory than 703 GROUP_STRUCTURE["348"] = _create_anl_energies_with_group_lethargies( itertools.repeat(6, 346), 5, 1 ) # Note that at one point the MC2 manual was inconsistent with the code itself GROUP_STRUCTURE["ANL703"] = _create_anl_energies_with_group_lethargies( [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 1, ] ) GROUP_STRUCTURE["ANL1041"] = _create_anl_energies_with_group_lethargies( itertools.repeat(2, 1041) ) GROUP_STRUCTURE["ANL2082"] = _create_anl_energies_with_group_lethargies( itertools.repeat(1, 2082) ) # fmt: on def _create_anl_energies_with_group_energies(group_energy_bounds): """Set energy group bounds to the nearest ultra-fine group boundaries.""" ufgEnergies = _create_anl_energies_with_group_lethargies(itertools.repeat(1, 2082)) modifiedEnergyBounds = [] for energyBound in group_energy_bounds: modifiedEnergyBounds.append(utils.findNearestValue(ufgEnergies, energyBound)) return modifiedEnergyBounds # Energy bounds of ARMI33 and ARMI45 are modified to the nearest ultra-fine group boundaries GROUP_STRUCTURE["ARMI33"] = _create_anl_energies_with_group_energies( [ 1.4190e07, 1.0000e07, 6.0650e06, 3.6780e06, 2.2313e06, 1.3530e06, 8.2080e05, 4.9787e05, 3.0190e05, 1.8310e05, 1.1109e05, 6.7370e04, 4.0860e04, 2.4788e04, 1.5030e04, 9.1180e03, 5.5308e03, 3.3540e03, 2.0340e03, 1.2341e03, 7.4850e02, 4.5390e02, 3.0432e02, 1.4860e02, 9.1660e01, 6.7904e01, 4.0160e01, 2.2600e01, 1.3709e01, 8.3150e00, 4.0000e00, 5.4000e-01, 4.1400e-01, ] ) GROUP_STRUCTURE["ARMI45"] = _create_anl_energies_with_group_energies( [ 1.419e07, 1.000e07, 6.065e06, 4.966e06, 3.679e06, 2.865e06, 2.231e06, 1.738e06, 1.353e06, 1.108e06, 8.209e05, 6.393e05, 4.979e05, 3.887e05, 3.020e05, 1.832e05, 1.111e05, 6.738e04, 4.087e04, 2.554e04, 1.989e04, 1.503e04, 9.119e03, 5.531e03, 3.355e03, 2.840e03, 2.404e03, 2.035e03, 1.234e03, 7.485e02, 4.540e02, 2.754e02, 1.670e02, 1.013e02, 6.144e01, 3.727e01, 2.260e01, 1.371e01, 8.315e00, 5.043e00, 3.059e00, 1.855e00, 1.125e00, 6.830e-01, 4.140e-01, ] )

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null

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1

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null

0

5

48bc347c13d56e4d20523053a40914553240adc3

66

py

Python

generators/app/templates/package/__init__.py

thinkulum/generator-python-cmd

769a5854a30ecfe39e14caabb41dd1133ba47b7f

[ "MIT" ]

null

generators/app/templates/package/__init__.py

thinkulum/generator-python-cmd

769a5854a30ecfe39e14caabb41dd1133ba47b7f

[ "MIT" ]

3

2020-04-21T02:11:37.000Z

2021-05-06T20:17:31.000Z

generators/app/templates/package/__init__.py

thinkulum/generator-python-cmd

769a5854a30ecfe39e14caabb41dd1133ba47b7f

[ "MIT" ]

null

from . import cli from . import controller __version__ = '0.0.1'

13.2

24

0.712121

10

66

4.3

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0

0.055556

0.181818

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1

0

1

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null

0

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1

0

5

48d56f1fffaaf825a021bb985d234363f13ce60a

347

py

Python

mak/libs/pyxx/cxx/grammar/statement/declaration.py

motor-dev/Motor

98cb099fe1c2d31e455ed868cc2a25eae51e79f0

[ "BSD-3-Clause" ]

null

mak/libs/pyxx/cxx/grammar/statement/declaration.py

motor-dev/Motor

98cb099fe1c2d31e455ed868cc2a25eae51e79f0

[ "BSD-3-Clause" ]

null

mak/libs/pyxx/cxx/grammar/statement/declaration.py

motor-dev/Motor

98cb099fe1c2d31e455ed868cc2a25eae51e79f0

[ "BSD-3-Clause" ]

null

""" declaration-statement: block-declaration """ import glrp from ...parser import cxx98 from motor_typing import TYPE_CHECKING @glrp.rule('declaration-statement : block-declaration') @cxx98 def declaration_statement(self, p): # type: (CxxParser, glrp.Production) -> None pass if TYPE_CHECKING: from ...parser import CxxParser

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5b02965c389196734094576a9b0574ee5c8f5f87

256

py

Python

scrapy_jsonschema/draft.py

BurnzZ/scrapy-jsonschema

43dc70db23b4e68e4c4f8e4a1c8e091398daffbd

[ "BSD-3-Clause" ]

43

2017-01-21T09:47:13.000Z

2022-03-26T18:07:38.000Z

scrapy_jsonschema/draft.py

BurnzZ/scrapy-jsonschema

43dc70db23b4e68e4c4f8e4a1c8e091398daffbd

[ "BSD-3-Clause" ]

26

2017-01-20T13:34:03.000Z

2021-03-22T17:17:02.000Z

scrapy_jsonschema/draft.py

BurnzZ/scrapy-jsonschema

43dc70db23b4e68e4c4f8e4a1c8e091398daffbd

[ "BSD-3-Clause" ]

14

2017-01-20T13:30:23.000Z

2021-03-17T15:25:55.000Z

JSON_SCHEMA_DRAFT_3 = "http://json-schema.org/draft-03/schema#" JSON_SCHEMA_DRAFT_4 = "http://json-schema.org/draft-04/schema#" JSON_SCHEMA_DRAFT_6 = "http://json-schema.org/draft-06/schema#" JSON_SCHEMA_DRAFT_7 = "http://json-schema.org/draft-07/schema#"

51.2

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1

0

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null

0

5

5b03b05410fbc7d0f9da83847cc99039846ca559

50

py

Python

Calculator/Subtraction.py

vk536/MiniProject-Calculator

eaae40343e260a718af72247e9115e2e386abf47

[ "MIT" ]

1

2020-11-08T02:31:21.000Z

Calculator/Subtraction.py

Nithinreddy127/Calculator-MiniProjet

88ba92d160e2028ca98bafd872b4f2ea123862b3

[ "MIT" ]

13

2020-11-08T01:06:05.000Z

2020-11-09T04:03:59.000Z

Calculator/Subtraction.py

Nithinreddy127/Calculator-MiniProjet

88ba92d160e2028ca98bafd872b4f2ea123862b3

[ "MIT" ]

1

2020-11-09T04:19:09.000Z

def subtract(a, b): return float(a) - float(b)

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1

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1

0

5

5b05c603c4b2e009f301a031e6e9d30930f06638

3,484

py

Python

application/app/__init__.py

LucasAntognoni/JWT_Security_Tests

dc35b562c096c220cc12c3a71b83c76e2c995acf

[ "MIT" ]

null

application/app/__init__.py

LucasAntognoni/JWT_Security_Tests

dc35b562c096c220cc12c3a71b83c76e2c995acf

[ "MIT" ]

null

application/app/__init__.py

LucasAntognoni/JWT_Security_Tests

dc35b562c096c220cc12c3a71b83c76e2c995acf

[ "MIT" ]

null

""" +-----------------+------------------------------------------------------------------------+ | **Version** | 0.1 | +-----------------+------------------------------------------------------------------------+ | **Start** | 27 Nov 2018 | +-----------------+------------------------------------------------------------------------+ | **Platform** | Unix | +-----------------+------------------------------------------------------------------------+ | **Authors** | Lucas Antognoni | +-----------------+------------------------------------------------------------------------+ | **Description** | Security Tests for JWT authentication | +-----------------+------------------------------------------------------------------------+ | **Modifications** | +-----------------+-----------+------------------------------------------------------------+ | **Date** | **Author** | **Modification** | +-----------------+------------------------------------------------------------------------+ | 27 Nov 2018 | Lucas Antognoni | Base application structure | +-----------------+------------------------------------------------------------------------+ | 27 Nov 2018 | Lucas Antognoni | Organizing application structure | +-----------------+------------------------------------------------------------------------+ | 27 Nov 2018 | Lucas Antognoni | JWT tools | +-----------------+------------------------------------------------------------------------+ | 27 Nov 2018 | Lucas Antognoni | Started tests development | +-----------------+------------------------------------------------------------------------+ | 28 Nov 2018 | Lucas Antognoni | None & claims tests and started RSA to HMAC attack | +-----------------+------------------------------------------------------------------------+ | 29 Nov 2018 | Lucas Antognoni | Finished all tests and started code documentation | +-----------------+------------------------------------------------------------------------+ | 29 Nov 2018 | Lucas Antognoni | Upgrading tests robustness | +-----------------+------------------------------------------------------------------------+ | 29 Nov 2018 | Lucas Antognoni | Started documentation with Sphinx | +-----------------+------------------------------------------------------------------------+ | 03 Dec 2018 | Lucas Antognoni | Finished documentation | +-----------------+------------------------------------------------------------------------+ Implementation ============== """ import sys sys.path.extend(['/home/lucas/Git/JWT_Security_Tests']) from flask import Flask from flask_jwt_extended import JWTManager from config import config app = Flask(__name__) config_name = 'development' app.config.from_object(config[config_name]) instance_path = app.root_path jwt = JWTManager(app) from views.rest import restapi app.register_blueprint(restapi)

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0

5

961204b851c543ecf414af621ffd96df7b111cc1

7,872

py

Python

flowable_sdk/api/deployment/deployment_client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

5

2019-07-31T04:11:05.000Z

2021-01-07T03:23:20.000Z

flowable_sdk/api/deployment/deployment_client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

null

flowable_sdk/api/deployment/deployment_client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import sys import flowable_sdk.api.deployment.delete_deployment_pb2 import google.protobuf.empty_pb2 import flowable_sdk.api.deployment.get_deployment_pb2 import flowable_sdk.model.flowable.deployment_pb2 import flowable_sdk.api.deployment.get_deployment_resource_pb2 import flowable_sdk.model.flowable.deployment_resource_pb2 import flowable_sdk.api.deployment.list_deployment_pb2 import flowable_sdk.utils.http_util import google.protobuf.json_format class DeploymentClient(object): def __init__(self, server_ip="", server_port=0, service_name="", host=""): """ 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高 :param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com """ if server_ip == "" and server_port != 0 or server_ip != "" and server_port == 0: raise Exception("server_ip和server_port必须同时指定") self._server_ip = server_ip self._server_port = server_port self._service_name = service_name self._host = host def delete_deployment(self, request, org, user, timeout=10): # type: (flowable_sdk.api.deployment.delete_deployment_pb2.DeleteDeploymentRequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 删除部署 :param request: delete_deployment请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.flowable.deployment.DeleteDeployment" uri = "/flowable-rest/service/repository/deployments/{deploymentId}".format( deploymentId=request.deploymentId, ) requestParam = request rsp_obj = flowable_sdk.utils.http_util.do_api_request( method="DELETE", src_name="logic.flowable_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def get_deployment(self, request, org, user, timeout=10): # type: (flowable_sdk.api.deployment.get_deployment_pb2.GetDeploymentRequest, int, str, int) -> flowable_sdk.model.flowable.deployment_pb2.FlowableDeployment """ 获取部署详情 :param request: get_deployment请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: flowable_sdk.model.flowable.deployment_pb2.FlowableDeployment """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.flowable.deployment.GetDeployment" uri = "/flowable-rest/service/repository/deployments/{deploymentId}".format( deploymentId=request.deploymentId, ) requestParam = request rsp_obj = flowable_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.flowable_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = flowable_sdk.model.flowable.deployment_pb2.FlowableDeployment() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def get_deployment_resource(self, request, org, user, timeout=10): # type: (flowable_sdk.api.deployment.get_deployment_resource_pb2.GetDeploymentResourceRequest, int, str, int) -> flowable_sdk.model.flowable.deployment_resource_pb2.FlowableDeploymentResource """ 获取部署资源 :param request: get_deployment_resource请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: flowable_sdk.model.flowable.deployment_resource_pb2.FlowableDeploymentResource """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.flowable.deployment.GetDeploymentResource" uri = "/flowable-rest/service/repository/deployments/{deploymentId}/resources".format( deploymentId=request.deploymentId, ) requestParam = request rsp_obj = flowable_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.flowable_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = flowable_sdk.model.flowable.deployment_resource_pb2.FlowableDeploymentResource() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def list_deployment(self, request, org, user, timeout=10): # type: (flowable_sdk.api.deployment.list_deployment_pb2.ListDeploymentRequest, int, str, int) -> flowable_sdk.api.deployment.list_deployment_pb2.ListDeploymentResponse """ 部署列表 :param request: list_deployment请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: flowable_sdk.api.deployment.list_deployment_pb2.ListDeploymentResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.flowable.deployment.ListDeployment" uri = "/flowable-rest/service/repository/deployments" requestParam = request rsp_obj = flowable_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.flowable_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = flowable_sdk.api.deployment.list_deployment_pb2.ListDeploymentResponse() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp

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0

null

0

1

0

1

0

null

0

5

96127041dcb5733dddc2a0b39563bc65a3039e07

1,027

py

Python

CSI_Web/models.py

Chennai-Society-of-Inventors/CSI-Web

05f9cf14dafb87cd4b4bea54e2ba781904f53d26

[ "MIT" ]

null

CSI_Web/models.py

Chennai-Society-of-Inventors/CSI-Web

05f9cf14dafb87cd4b4bea54e2ba781904f53d26

[ "MIT" ]

null

CSI_Web/models.py

Chennai-Society-of-Inventors/CSI-Web

05f9cf14dafb87cd4b4bea54e2ba781904f53d26

[ "MIT" ]

null

from django.db import models class CarouselInfo(models.Model): image_link = models.CharField(max_length=100) image_header = models.CharField(max_length=100) image_description = models.CharField(max_length=500) def __str__(self): return self.image_header class ProblemInfo(models.Model): problem_category = models.CharField(max_length=100) problem_description = models.CharField(max_length=500) name = models.CharField(max_length=30) contact_number = models.CharField(max_length=15) contact_address = models.CharField(max_length=100) email_id = models.EmailField() def __str__(self): return self.problem_category + " by " + self.name class InventionInfo(models.Model): invention = models.CharField(max_length=100) abstract = models.CharField(max_length=500) team_details = models.CharField(max_length=200) contact_number = models.CharField(max_length=15) email_id = models.EmailField() def __str__(self): return self.invention

30.205882

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0.738072

129

1,027

5.589147

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0.249653

0.299584

0.399445

0.599168

0.421637

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0.119279

0

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0.166504

1,027

33

59

31.121212

0.803738

0

0.291667

0

0.003895

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0.125

false

0

0.041667

0.125

1

0

null

1

0

null

0

1

0

5

824a53d32d7fb89cb4f3b641dfe3600f28e49e82

131

py

Python

astropy_healpix/tests/test_bench.py

astrofrog/testbatch

f6a80bed8aa6ebd7ca428d296a8420cd4f3cb92a

[ "BSD-3-Clause" ]

null

astropy_healpix/tests/test_bench.py

astrofrog/testbatch

f6a80bed8aa6ebd7ca428d296a8420cd4f3cb92a

[ "BSD-3-Clause" ]

2

2019-06-17T21:53:09.000Z

2020-10-29T19:51:53.000Z

astropy_healpix/tests/test_bench.py

astrofrog/testbatch

f6a80bed8aa6ebd7ca428d296a8420cd4f3cb92a

[ "BSD-3-Clause" ]

1

2019-06-17T21:48:26.000Z

from __future__ import absolute_import, print_function, division from ..bench import main def test_bench(): main(fast=True)

16.375

64

0.770992

18

131

5.222222

0.722222

0

0.152672

131

7

65

18.714286

0.846847

0

1

0.25

true

0

0.5

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

5

8297dbd7279173ccd26ab137941c1905862ef099

173

py

Python

saleor/core/templatetags/urls.py

skazancev/saleor

42746ba00080ce36dedc0954be66b42f0e0a7499

[ "BSD-3-Clause" ]

1

2018-03-17T02:41:15.000Z

saleor/core/templatetags/urls.py

skazancev/saleor

42746ba00080ce36dedc0954be66b42f0e0a7499

[ "BSD-3-Clause" ]

86

2018-03-08T14:19:19.000Z

2018-05-12T14:55:16.000Z

saleor/core/templatetags/urls.py

skazancev/saleor

42746ba00080ce36dedc0954be66b42f0e0a7499

[ "BSD-3-Clause" ]

2

2018-03-05T12:29:10.000Z

2018-09-28T12:40:52.000Z

from django import template register = template.Library() @register.simple_tag def build_absolute_uri(request, location): return request.build_absolute_uri(location)

19.222222

47

0.809249

22

173

6.136364

0.681818

0.192593

0.237037

0

0.115607

173

8

48

21.625

0.882353

0

1

0.2

false

0

0.2

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

5

829cb4ce6cfb92a8c46db8f8acf04f96daac9f2d

83

py

Python

paranormal-pioneers/project/__main__.py

python-discord/code-jam-6

a7eb3b1256ae113c93f0337892c667768e8bc199

[ "MIT" ]

76

2020-01-17T12:09:48.000Z

2022-03-26T19:17:26.000Z

paranormal-pioneers/project/__main__.py

1nf1del/code-jam-6

a7eb3b1256ae113c93f0337892c667768e8bc199

[ "MIT" ]

17

2020-01-21T23:13:34.000Z

2020-02-07T00:07:04.000Z

paranormal-pioneers/project/__main__.py

1nf1del/code-jam-6

a7eb3b1256ae113c93f0337892c667768e8bc199

[ "MIT" ]

91

2020-01-17T12:01:06.000Z

2022-03-22T20:38:59.000Z

from project.core.terminal import Terminal terminal = Terminal() terminal.start()

16.6

42

0.795181

10

83

6.6

0.6

0.727273

0

0.108434

83

4

43

20.75

0.891892

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

82c3cd09e6d2b233f34fd6d9eb84ecb764617fd5

2,018

py

Python

tests/test_managers.py

incuna/django-user-deletion

5a19505accac0db8b4f49cbbe55eaadf14243595

[ "BSD-2-Clause" ]

2

2016-07-16T07:15:44.000Z

2020-07-29T14:35:34.000Z

tests/test_managers.py

incuna/django-user-deletion

5a19505accac0db8b4f49cbbe55eaadf14243595

[ "BSD-2-Clause" ]

13

2016-04-14T14:04:36.000Z

2021-06-10T19:09:07.000Z

tests/test_managers.py

incuna/django-user-deletion

5a19505accac0db8b4f49cbbe55eaadf14243595

[ "BSD-2-Clause" ]

null

from dateutil.relativedelta import relativedelta from django.apps import apps from django.test import TestCase from django.utils import timezone from .factories import UserFactory from .models import User user_deletion_config = apps.get_app_config('user_deletion') class TestUserDeletionManager(TestCase): def test_users_to_notify(self): last_login = timezone.now() - relativedelta( months=user_deletion_config.MONTH_NOTIFICATION, ) user = UserFactory.create(last_login=last_login, notified=False) users = User.objects.users_to_notify() self.assertCountEqual(users, [user]) def test_users_not_to_notify(self): user = UserFactory.create(last_login=timezone.now(), notified=False) users = User.objects.users_to_notify() self.assertNotIn(user, users) def test_users_already_notified(self): last_login = timezone.now() - relativedelta( months=user_deletion_config.MONTH_NOTIFICATION, ) user = UserFactory.create(last_login=last_login, notified=True) users = User.objects.users_to_notify() self.assertNotIn(user, users) def test_users_to_delete(self): last_login = timezone.now() - relativedelta( months=user_deletion_config.MONTH_DELETION, ) user = UserFactory.create(last_login=last_login, notified=True) users = User.objects.users_to_delete() self.assertCountEqual(users, [user]) def test_users_not_to_delete(self): user = UserFactory.create(last_login=timezone.now(), notified=False) users = User.objects.users_to_delete() self.assertNotIn(user, users) def test_users_to_delete_not_notified(self): last_login = timezone.now() - relativedelta( months=user_deletion_config.MONTH_DELETION, ) user = UserFactory.create(last_login=last_login, notified=False) users = User.objects.users_to_delete() self.assertNotIn(user, users)

33.081967

76

0.703667

238

2,018

5.693277

0.172269

0.092989

0.053137

0.088561

0.779336

0.774908

0.681919

0

0.207631

2,018

60

77

33.633333

0.847405

0

0.590909

0

0.006442

0

0.136364

1

0.136364

false

0

0.136364

0

0.295455

0

null

0

1

0

null

0

5

82cbba23399ee357dd6994ceef2cbc0c7150173f

379

py

Python

protobuf_serialization/__init__.py

alvinchow86/protobuf-serialization-py

af856b7b872317917274f74bb69418d19dafc3fa

[ "MIT" ]

1

2020-05-17T04:26:52.000Z

protobuf_serialization/__init__.py

alvinchow86/protobuf-serialization-py

af856b7b872317917274f74bb69418d19dafc3fa

[ "MIT" ]

null

protobuf_serialization/__init__.py

alvinchow86/protobuf-serialization-py

af856b7b872317917274f74bb69418d19dafc3fa

[ "MIT" ]

null

# flake8: noqa # Convenience imports from protobuf_serialization.deserialization import protobuf_to_dict from protobuf_serialization.serialization import ( ProtobufSerializer, ProtobufDictSerializer, serialize_to_protobuf, get_serializer_for_proto_cls ) from protobuf_serialization.serialization import fields from protobuf_serialization.serialization import serializer

34.454545

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0.873351

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379

8.179487

0.512821

0.15047

0.31348

0.357367

0.413793

0

0.002915

0.094987

379

10

68

37.9

0.927114

0.084433

0

1

0

true

0

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0

0.571429

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1

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null

0

1

0

1

0

1

0

5

82d64b3b9ee42b18dd2290a5e511f595ff433821

135

py

Python

occurrences_api/occurrences/admin.py

ruipedrodias94/django-rest-api

10cc39f2604c1a37d5d7d4aa4ed38ab3394624b8

[ "Apache-2.0" ]

1

2020-01-28T21:23:55.000Z

occurrences_api/occurrences/admin.py

ruipedrodias94/django-rest-api

10cc39f2604c1a37d5d7d4aa4ed38ab3394624b8

[ "Apache-2.0" ]

7

2020-06-05T20:45:51.000Z

2021-09-22T18:29:16.000Z

occurrences_api/occurrences/admin.py

ruipedrodias94/django-rest-api

10cc39f2604c1a37d5d7d4aa4ed38ab3394624b8

[ "Apache-2.0" ]

1

2020-01-28T21:25:04.000Z

from django.contrib import admin from .models import OccurrenceModel # Register your models here. admin.site.register(OccurrenceModel)

27

36

0.837037

17

135

6.647059

0.647059

0

0.103704

135

5

36

27

0.933884

0.192593

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7d68ed7483649598ac323df6c489d266fde2b81a

137

py

Python

src/westpa/westext/adaptvoronoi/__init__.py

jdrusso/westpa_test

3383b59a5a6ec5401415e74eb5a7fc61e4b3abbc

[ "MIT" ]

1

2021-03-19T19:58:07.000Z

src/westpa/westext/adaptvoronoi/__init__.py

jdrusso/westpa_test

3383b59a5a6ec5401415e74eb5a7fc61e4b3abbc

[ "MIT" ]

null

src/westpa/westext/adaptvoronoi/__init__.py

jdrusso/westpa_test

3383b59a5a6ec5401415e74eb5a7fc61e4b3abbc

[ "MIT" ]

1

2021-01-09T22:46:25.000Z

from . import adaptVor_driver from .adaptVor_driver import AdaptiveVoronoiDriver __all__ = ['adaptVor_driver', 'AdaptiveVoronoiDriver']

27.4

54

0.832117

13

137

8.230769

0.461538

0.392523

0

0.094891

137

4

55

34.25

0.862903

0

0.262774

0.153285

0

1

0

false

0

0.666667

0

0.666667

0

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0

null

1

0

1

0

null

0

1

0

1

0

5

7d8868b03ac19a42e42ead616eafc045edbc334a

73

py

Python

Visualization/__init__.py

jzw0025/Kyber

ce2069da469095e6a086f7bbf9cd980f10563b22

[ "Unlicense" ]

3

2017-02-20T18:18:27.000Z

2021-07-31T17:00:56.000Z

Visualization/__init__.py

jzw0025/Kyber

ce2069da469095e6a086f7bbf9cd980f10563b22

[ "Unlicense" ]

null

Visualization/__init__.py

jzw0025/Kyber

ce2069da469095e6a086f7bbf9cd980f10563b22

[ "Unlicense" ]

1

2016-12-16T17:51:32.000Z

from DataVisu import DataVisulization from MarchCube import VolumeSurface

36.5

37

0.90411

8

73

8.25

0.75

0

0.09589

73

2

38

36.5

1

0

1

0

true

0

1

0

1

0

1

0

null

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0

null

0

1

0

1

0

1

0

5

7d8d9d44a6e122db864e0ab16edcb751c60e588b

10,071

py

Python

test/local/test_config_elt.py

ros-windows/rosinstall

f4210e8cddbed9ced1581a7d048b645b97c6930e

[ "BSD-3-Clause" ]

1

2018-09-11T23:28:41.000Z

test/local/test_config_elt.py

ros-windows/rosinstall

f4210e8cddbed9ced1581a7d048b645b97c6930e

[ "BSD-3-Clause" ]

null

test/local/test_config_elt.py

ros-windows/rosinstall

f4210e8cddbed9ced1581a7d048b645b97c6930e

[ "BSD-3-Clause" ]

null

# Software License Agreement (BSD License) # # Copyright (c) 2009, Willow Garage, Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Willow Garage, Inc. nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. import unittest import rosinstall.config from rosinstall.common import MultiProjectException from . import mock_client class ConfigElements_Test(unittest.TestCase): def test_simple_config_element_API(self): path = "some/path" localname = "some/local/name" other1 = rosinstall.config_elements.ConfigElement(path, localname) self.assertEqual(path, other1.get_path()) self.assertEqual(localname, other1.get_local_name()) self.assertFalse(other1.is_vcs_element()) other1 = rosinstall.config_elements.OtherConfigElement(path, localname) self.assertEqual(path, other1.get_path()) self.assertEqual(localname, other1.get_local_name()) self.assertEqual({'other': {'local-name': 'some/local/name'}}, other1.get_path_spec().get_legacy_yaml()) self.assertFalse(other1.is_vcs_element()) other1 = rosinstall.config_elements.SetupConfigElement(path, localname) self.assertEqual(path, other1.get_path()) self.assertEqual(localname, other1.get_local_name()) self.assertEqual({'setup-file': {'local-name': 'some/local/name'}}, other1.get_path_spec().get_legacy_yaml()) self.assertFalse(other1.is_vcs_element()) other1 = rosinstall.config_elements.OtherConfigElement(path, localname, properties=[{}]) self.assertEqual(path, other1.get_path()) self.assertEqual(localname, other1.get_local_name()) self.assertEqual({'other': {'local-name': 'some/local/name'}}, other1.get_path_spec().get_legacy_yaml()) self.assertFalse(other1.is_vcs_element()) other1 = rosinstall.config_elements.OtherConfigElement(path, localname, properties=['meta']) self.assertEqual(path, other1.get_path()) self.assertEqual(localname, other1.get_local_name()) self.assertEqual({'other': {'local-name': 'some/local/name', 'meta': None}}, other1.get_path_spec().get_legacy_yaml()) self.assertFalse(other1.is_vcs_element()) other1 = rosinstall.config_elements.OtherConfigElement(path, localname, properties=[{'meta': {'repo-name': 'skynetish-ros-pkg'}}]) self.assertEqual(path, other1.get_path()) self.assertEqual(localname, other1.get_local_name()) self.assertEqual({'other': {'local-name': 'some/local/name', 'meta': {'repo-name': 'skynetish-ros-pkg'}}}, other1.get_path_spec().get_legacy_yaml()) self.assertFalse(other1.is_vcs_element()) def test_mock_vcs_config_element_init(self): path = "some/path" localname = "some/local/name" try: rosinstall.config_elements.AVCSConfigElement("mock", None, None, None) self.fail("Exception expected") except MultiProjectException: pass try: rosinstall.config_elements.AVCSConfigElement("mock", "path", None, None) self.fail("Exception expected") except MultiProjectException: pass try: rosinstall.config_elements.AVCSConfigElement("mock", None, None, "some/uri") self.fail("Exception expected") except MultiProjectException: pass path = "some/path" localname = "some/local/name" uri = 'some/uri' version = 'some.version' vcsc = rosinstall.config_elements.AVCSConfigElement("mock", path, localname, uri, vcsc=mock_client.MockVcsClient()) self.assertEqual(path, vcsc.get_path()) self.assertEqual(localname, vcsc.get_local_name()) self.assertEqual(uri, vcsc.uri) self.assertTrue(vcsc.is_vcs_element()) self.assertEqual("mocktypemockdiffNone", vcsc.get_diff()) self.assertEqual("mocktype mockstatusNone,False", vcsc.get_status()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'uri': 'some/uri'}}, vcsc.get_path_spec().get_legacy_yaml()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'uri': 'some/uri', }}, vcsc.get_versioned_path_spec().get_legacy_yaml()) vcsc = rosinstall.config_elements.AVCSConfigElement("mock", path, localname, uri, None, vcsc=mock_client.MockVcsClient()) self.assertEqual(path, vcsc.get_path()) self.assertEqual(localname, vcsc.get_local_name()) self.assertEqual(uri, vcsc.uri) self.assertTrue(vcsc.is_vcs_element()) self.assertEqual("mocktypemockdiffNone", vcsc.get_diff()) self.assertEqual("mocktype mockstatusNone,False", vcsc.get_status()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'uri': 'some/uri'}}, vcsc.get_path_spec().get_legacy_yaml()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'uri': 'some/uri', }}, vcsc.get_versioned_path_spec().get_legacy_yaml()) vcsc = rosinstall.config_elements.AVCSConfigElement("mock", path, localname, uri, version, vcsc=mock_client.MockVcsClient()) self.assertEqual(path, vcsc.get_path()) self.assertEqual(localname, vcsc.get_local_name()) self.assertEqual(uri, vcsc.uri) self.assertTrue(vcsc.is_vcs_element()) self.assertEqual("mocktypemockdiffNone", vcsc.get_diff()) self.assertEqual("mocktype mockstatusNone,False", vcsc.get_status()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'version': 'some.version', 'uri': 'some/uri'}}, vcsc.get_path_spec().get_legacy_yaml()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'version': 'some.version', 'uri': 'some/uri'}}, vcsc.get_versioned_path_spec().get_legacy_yaml()) vcsc = rosinstall.config_elements.AVCSConfigElement( "mock", path, localname, uri, version, vcsc=mock_client.MockVcsClient(), properties=[{'meta': {'repo-name': 'skynetish-ros-pkg'}}]) self.assertEqual(path, vcsc.get_path()) self.assertEqual(localname, vcsc.get_local_name()) self.assertEqual(uri, vcsc.uri) self.assertTrue(vcsc.is_vcs_element()) self.assertEqual("mocktypemockdiffNone", vcsc.get_diff()) self.assertEqual("mocktype mockstatusNone,False", vcsc.get_status()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'version': 'some.version', 'uri': 'some/uri', 'meta': {'repo-name': 'skynetish-ros-pkg'}}}, vcsc.get_path_spec().get_legacy_yaml()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'version': 'some.version', 'uri': 'some/uri', 'meta': {'repo-name': 'skynetish-ros-pkg'}}}, vcsc.get_versioned_path_spec().get_legacy_yaml()) # this time using 'uri_shortcut' in mock_client.MockVcsClient, get special treatment un url_matches() uri2 = 'some/uri2' vcsc = rosinstall.config_elements.AVCSConfigElement( "mock", path, localname, uri2, version, vcsc=mock_client.MockVcsClient(url='url_shortcut'), properties=[{'meta': {'repo-name': 'skynetish-ros-pkg'}}]) self.assertEqual(path, vcsc.get_path()) self.assertEqual(localname, vcsc.get_local_name()) self.assertEqual(uri2, vcsc.uri) self.assertTrue(vcsc.is_vcs_element()) self.assertEqual("mocktypemockdiffNone", vcsc.get_diff()) self.assertEqual("mocktype mockstatusNone,False", vcsc.get_status()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'version': 'some.version', 'uri': 'some/uri2', 'meta': {'repo-name': 'skynetish-ros-pkg'}}}, vcsc.get_path_spec().get_legacy_yaml()) self.assertEqual({'mock': {'local-name': 'some/local/name', 'version': 'some.version', 'uri': 'some/uri2', 'meta': {'repo-name': 'skynetish-ros-pkg'}}}, vcsc.get_versioned_path_spec().get_legacy_yaml()) def test_mock_install(self): path = "some/path" localname = "some/local/name" uri = 'some/uri' version = 'some.version' mockclient = mock_client.MockVcsClient(url=uri) vcsc = rosinstall.config_elements.AVCSConfigElement("mock", path, localname, uri, None, vcsc=mockclient) vcsc.install() self.assertTrue(mockclient.checkedout) self.assertFalse(mockclient.updated) # checkout failure mockclient = mock_client.MockVcsClient(url=uri, checkout_success=False) try: vcsc = rosinstall.config_elements.AVCSConfigElement("mock", path, localname, uri, None, vcsc=mockclient) vcsc.install() self.fail("should have raised Exception") except MultiProjectException: pass

58.213873

210

0.68871

1,190

10,071

5.684874

0.17395

0.115299

0.036511

0.039911

0.758463

0.746341

0.73082

0.722543

0.692683

0.683075

0

0.0047

0.17605

10,071

172

211

58.552326

0.810557

0.164631

0

0.6875

0

0.173648

0

0.507813

1

0.023438

false

0.03125

0

0.0625

0

null

0

1

0

1

0

null

0

1

0

5

7da40f21370bc9393806cd5f2e7e0fb2dd21ecc7

3,784

py

Python

homes_to_let/tests/test_queryset.py

Xtuden-com/django-property

6656d469a5d06c103a34c2e68b9f1754413fb3ba

[ "MIT" ]

null

homes_to_let/tests/test_queryset.py

Xtuden-com/django-property

6656d469a5d06c103a34c2e68b9f1754413fb3ba

[ "MIT" ]

null

homes_to_let/tests/test_queryset.py

Xtuden-com/django-property

6656d469a5d06c103a34c2e68b9f1754413fb3ba

[ "MIT" ]

null

from datetime import datetime, timedelta from django.test import TestCase from homes_to_let.factories.letting_factory import LettingFactory from homes_to_let.models import Letting import pytz class SaleQuerySetTestCase(TestCase): def test_published_queryset(self): lettings = [ LettingFactory(status=Letting.STATUS_CHOICE_ACTIVE), LettingFactory(status=Letting.STATUS_CHOICE_INACTIVE) ] results = Letting.filtered.published() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[0].title) def test_unpublished_queryset(self): lettings = [ LettingFactory(status=Letting.STATUS_CHOICE_ACTIVE), LettingFactory(status=Letting.STATUS_CHOICE_INACTIVE) ] results = Letting.filtered.unpublished() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[1].title) def test_unexpired_queryset(self): lettings = [ LettingFactory(expires_at=datetime.utcnow().replace(tzinfo=pytz.UTC) + timedelta(days=30)), LettingFactory(expires_at=datetime.utcnow().replace(tzinfo=pytz.UTC) + timedelta(days=-30)) ] results = Letting.filtered.unexpired() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[0].title) def test_expired_queryset(self): lettings = [ LettingFactory(expires_at=datetime.utcnow().replace(tzinfo=pytz.UTC) + timedelta(days=30)), LettingFactory(expires_at=datetime.utcnow().replace(tzinfo=pytz.UTC) + timedelta(days=-30)) ] results = Letting.filtered.expired() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[1].title) def test_let_agreed_queryset(self): lettings = [ LettingFactory(let_agreed=True), LettingFactory(let_agreed=False) ] results = Letting.filtered.let_agreed() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[0].title) def test_let_not_agreed_queryset(self): lettings = [ LettingFactory(let_agreed=True), LettingFactory(let_agreed=False) ] results = Letting.filtered.let_not_agreed() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[1].title) def test_furnished_queryset(self): lettings = [ LettingFactory(furnished=True), LettingFactory(furnished=False) ] results = Letting.filtered.furnished() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[0].title) def test_unfurnished_queryset(self): lettings = [ LettingFactory(furnished=True), LettingFactory(furnished=False) ] results = Letting.filtered.unfurnished() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[1].title) def test_type_of_let_queryset(self): lettings = [ LettingFactory(type_of_let=Letting.TYPE_OF_LET_LONG_TERM), LettingFactory(type_of_let=Letting.TYPE_OF_LET_SHORT_TERM) ] results = Letting.filtered.type_of_let(Letting.TYPE_OF_LET_LONG_TERM) self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[0].title) def test_house_share_queryset(self): lettings = [ LettingFactory(house_share=True), LettingFactory(house_share=False) ] results = Letting.filtered.house_share() self.assertEquals(len(results),1) self.assertEquals(results[0].title, lettings[0].title)

37.84

103

0.665169

407

3,784

6.009828

0.142506

0.130826

0.081766

0.139002

0.793132

0.771464

0.744481

0

0.013005

0.227801

3,784

100

104

37.84

0.824093

0

0.534884

0

0.232558

1

0.116279

false

0

0.05814

0

0.186047

0

null

0

1

0

null

0

5

816c667beb8ba3467f9d1c17a6cf9f1881b247af

108

py

Python

pyshley/lib/enum.py

IndiBowstring/pyshley

417976574833ffd1e2824e14d34c851cc238b2bc

[ "MIT" ]

null

pyshley/lib/enum.py

IndiBowstring/pyshley

417976574833ffd1e2824e14d34c851cc238b2bc

[ "MIT" ]

null

pyshley/lib/enum.py

IndiBowstring/pyshley

417976574833ffd1e2824e14d34c851cc238b2bc

[ "MIT" ]

null

# TODO: Currently unused """ from enum import Enum class ContainerType(Enum): PROD = 1 DEV = 2 """

12

26

0.62963

14

108

4.857143

0.857143

0

0.024691

0.25

108

9

27

12

0.814815

0.916667

0

null

0

null

0

null

0

0.111111

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

c4a312f4ddb6ec782af2e3e63e31638c73b054e8

29

py

Python

anitracker/sync/__init__.py

Phxntxm/AniTracker

522ece6cc41da3e2875907ff9dce82f31146d450

[ "MIT" ]

12

2021-06-27T23:59:14.000Z

2022-03-24T04:38:30.000Z

anitracker/sync/__init__.py

Phxntxm/AniTracker

522ece6cc41da3e2875907ff9dce82f31146d450

[ "MIT" ]

1

2022-03-24T04:53:28.000Z

anitracker/sync/__init__.py

Phxntxm/AniTracker

522ece6cc41da3e2875907ff9dce82f31146d450

[ "MIT" ]

null

from .anilist import AniList

14.5

28

0.827586

4

29

6

0.75

0

0.137931

29

1

29

0.96

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c4a591d909d0cc651ceab331f08fa1284071bdc2

84

py

Python

bot/utils/__init__.py

t3m8ch/holy-war-detector

bb23694fafc9276ee95c711f4354fba47c4b7e2c

[ "MIT" ]

null

bot/utils/__init__.py

t3m8ch/holy-war-detector

bb23694fafc9276ee95c711f4354fba47c4b7e2c

[ "MIT" ]

null

bot/utils/__init__.py

t3m8ch/holy-war-detector

bb23694fafc9276ee95c711f4354fba47c4b7e2c

[ "MIT" ]

null

"""This package contains modules to simplify the code""" from .router import Router

28

56

0.77381

12

84

5.416667

0.916667

0

0.142857

84

2

57

42

0.902778

0.595238

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c4bf502ac0e64ee5644185505153c261889b728f

23

py

Python

atcoder/other/tkppc2016_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/other/tkppc2016_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/other/tkppc2016_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

print(input()+input())

11.5

22

0.652174

3

23

5

0.666667

0

0.043478

23

1

23

0.681818

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

48150448d7e00a4c2680cfd62a989ca8eb62bc8b

28

py

Python

mymldev/datasets/__init__.py

Suneel123/mymldev

d80826432f97c9004986cd5a625f74757cf362bb

[ "MIT" ]

null

mymldev/datasets/__init__.py

Suneel123/mymldev

d80826432f97c9004986cd5a625f74757cf362bb

[ "MIT" ]

null

mymldev/datasets/__init__.py

Suneel123/mymldev

d80826432f97c9004986cd5a625f74757cf362bb

[ "MIT" ]

null

# Datasets used for testing

14

27

0.785714

4

28

5.5

1

0

0.178571

28

1

28

0.956522

0.892857

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

5

481937c7bad4a83b06506c2ee130e8958fe88401

326

py

Python

is_core/utils/decorators.py

zzuzzy/django-is-core

3f87ec56a814738683c732dce5f07e0328c2300d

[ "BSD-3-Clause" ]

null

is_core/utils/decorators.py

zzuzzy/django-is-core

3f87ec56a814738683c732dce5f07e0328c2300d

[ "BSD-3-Clause" ]

null

is_core/utils/decorators.py

zzuzzy/django-is-core

3f87ec56a814738683c732dce5f07e0328c2300d

[ "BSD-3-Clause" ]

null

def short_description(description): """ Sets 'short_description' attribute (this attribute is in exports to generate header name). """ def decorator(func): if isinstance(func, property): func = func.fget func.short_description = description return func return decorator

29.636364

94

0.656442

35

326

6.028571

0.571429

0.227488

0.255924

0

0.266871

326

10

95

32.6

0.882845

0.276074

0

1

0

1

0.285714

false

0

0.571429

0

null

1

0

1

0

null

0

1

0

1

0

5

48279507ad40b0a42340fa6407d525d089a3ac30

30

py

Python

corehq/celery_monitoring/models.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

471

2015-01-10T02:55:01.000Z

2022-03-29T18:07:18.000Z

corehq/celery_monitoring/models.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

14,354

2015-01-01T07:38:23.000Z

2022-03-31T20:55:14.000Z

corehq/celery_monitoring/models.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

175

2015-01-06T07:16:47.000Z

2022-03-29T13:27:01.000Z

# here so tasks get picked up

15

29

0.733333

6

30

3.666667

1

0

0.233333

30

1

30

0.956522

0.9

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

5

484251431dcfe1d4f33dba2bd4fa4221759b2eb8

56

py

Python

utils/stringutils.py

74wny0wl/entusergenerator

45ae4dc9b8b8675454e3058708e004cfe5db5055

[ "MIT" ]

1

2020-08-26T08:10:08.000Z

utils/stringutils.py

74wny0wl/entusergenerator

45ae4dc9b8b8675454e3058708e004cfe5db5055

[ "MIT" ]

null

utils/stringutils.py

74wny0wl/entusergenerator

45ae4dc9b8b8675454e3058708e004cfe5db5055

[ "MIT" ]

null

def prefix(string, length): return string[0:length]

18.666667

27

0.714286

8

56

5

0.75

0

0.021277

0.160714

56

2

28

0.829787

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5