xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

70167c3be0808354d382784e8c02e038b55afbfd

102

py

Python

Geometry/ForwardGeometry/python/ForwardGeometry_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Geometry/ForwardGeometry/python/ForwardGeometry_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Geometry/ForwardGeometry/python/ForwardGeometry_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from Geometry.ForwardGeometry.ForwardGeometry_cff import *

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7016e753d0b481356cbac9f285ef5ed1df653d6d

51

py

Python

gfapy/line/header/__init__.py

ujjwalsh/gfapy

891ef3df695f20c67809e5a54549c876d90690b4

[ "ISC" ]

44

2017-03-18T08:08:04.000Z

2021-11-10T16:11:15.000Z

gfapy/line/header/__init__.py

ujjwalsh/gfapy

891ef3df695f20c67809e5a54549c876d90690b4

[ "ISC" ]

22

2017-04-04T21:20:31.000Z

2022-03-09T19:05:30.000Z

gfapy/line/header/__init__.py

ujjwalsh/gfapy

891ef3df695f20c67809e5a54549c876d90690b4

[ "ISC" ]

5

2017-07-07T02:56:56.000Z

2020-09-30T20:10:49.000Z

from ..line import Line from .header import Header

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5

7040c2af31c4456ee701283189e7154deb6bf951

599

py

Python

examples/convert_lmdb_camvid/png_to_ppm.py

TrevinoCarlos/caffe

2b36ec4a32e10511713060a4062a50e621019a0e

[ "BSD-2-Clause" ]

null

examples/convert_lmdb_camvid/png_to_ppm.py

TrevinoCarlos/caffe

2b36ec4a32e10511713060a4062a50e621019a0e

[ "BSD-2-Clause" ]

null

examples/convert_lmdb_camvid/png_to_ppm.py

TrevinoCarlos/caffe

2b36ec4a32e10511713060a4062a50e621019a0e

[ "BSD-2-Clause" ]

null

import numpy as np from PIL import Image f = open('camvid_train.txt','r') inputs = f.read().splitlines() f.close() for in_idx, in_ in enumerate(inputs): im = Image.open(in_) #im = im.resize((int(im.size[0]*0.25),int(im.size[1]*0.25)),Image.ANTIALIAS) im.save('inputs/input-'+str(in_idx+1).zfill(5)+'.ppm') f = open('camvid_test.txt','r') inputs = f.read().splitlines() f.close() for in_idx, in_ in enumerate(inputs): im = Image.open(in_) #im = im.resize((int(im.size[0]*0.25),int(im.size[1]*0.25)),Image.ANTIALIAS) im.save('inputs/input-'+str(in_idx+368).zfill(5)+'.ppm')

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5

56302b84328e9570bcb08c633192ce5aed006eaf

106

py

Python

src/scarab/web/resources/status.py

brysnik/Scarab

a941ffd738ec4b1d066c19b7f88e74e62e4cc64f

[ "MIT" ]

null

src/scarab/web/resources/status.py

brysnik/Scarab

a941ffd738ec4b1d066c19b7f88e74e62e4cc64f

[ "MIT" ]

null

src/scarab/web/resources/status.py

brysnik/Scarab

a941ffd738ec4b1d066c19b7f88e74e62e4cc64f

[ "MIT" ]

null

""" Default status.html resource """ class StatusResource: def on_get(self, req, resp): pass

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1

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5

56635597dc605662d86e377194751e1bd9fed282

138

py

Python

arbitrage/__init__.py

aknirmal90/arbitrage

e43c91be80c6f8ef4070d30a3a897c2e113ae136

[ "MIT" ]

3

2017-12-14T12:41:01.000Z

2021-05-17T11:51:53.000Z

arbitrage/__init__.py

aknirmal90/arbitrage

e43c91be80c6f8ef4070d30a3a897c2e113ae136

[ "MIT" ]

2

2020-06-05T17:55:14.000Z

2021-06-10T19:48:10.000Z

arbitrage/__init__.py

aknirmal90/arbitrage

e43c91be80c6f8ef4070d30a3a897c2e113ae136

[ "MIT" ]

2

2018-07-11T03:23:51.000Z

2021-07-16T17:42:21.000Z

from __future__ import absolute_import # This will make sure the app is always imported when # Django starts. from .celeryapp import app

23

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1

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5

56686a4f277f68e4c2cd3830671bed6b9f0ab6fe

140

py

Python

Backend/clother/users/views.py

t3ddyss/Clother

ca7bfd2a830cb36cf7ba62782498636e58f9ea17

[ "MIT" ]

21

2021-04-21T10:36:12.000Z

2021-10-18T10:23:38.000Z

Backend/clother/users/views.py

t3ddyss/Clother

ca7bfd2a830cb36cf7ba62782498636e58f9ea17

[ "MIT" ]

1

2021-06-04T15:19:35.000Z

Backend/clother/users/views.py

t3ddyss/Clother

ca7bfd2a830cb36cf7ba62782498636e58f9ea17

[ "MIT" ]

1

2022-03-03T02:50:37.000Z

from flask import Blueprint from ..utils import base_prefix blueprint = Blueprint('users', __name__, url_prefix=(base_prefix + '/users'))

23.333333

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569e31f6a4bb23e3686b409c48753b2c0fddd3f4

138

py

Python

src/api/domain/dashboard/GetDashboardWidgets/GetDashboardWidgetsDto.py

PythonDataIntegrator/pythondataintegrator

6167778c36c2295e36199ac0d4d256a4a0c28d7a

[ "MIT" ]

14

2020-12-19T15:06:13.000Z

2022-01-12T19:52:17.000Z

src/api/domain/dashboard/GetDashboardWidgets/GetDashboardWidgetsDto.py

PythonDataIntegrator/pythondataintegrator

6167778c36c2295e36199ac0d4d256a4a0c28d7a

[ "MIT" ]

43

2021-01-06T22:05:22.000Z

2022-03-10T10:30:30.000Z

src/api/domain/dashboard/GetDashboardWidgets/GetDashboardWidgetsDto.py

PythonDataIntegrator/pythondataintegrator

6167778c36c2295e36199ac0d4d256a4a0c28d7a

[ "MIT" ]

4

2020-12-18T23:10:09.000Z

2021-04-02T13:03:12.000Z

from infrastructure.cqrs.decorators.dtoclass import dtoclass @dtoclass class GetDashboardWidgetsDto: # TODO:Dto attributes pass

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5

3b94040217f009f19e99fed1df6bc018b65f1538

147

py

Python

discovermetal/modules/__init__.py

packethost/discover-metal

b213a9ec455dbc85f291d5941b360f2d0564b58a

[ "Apache-2.0" ]

null

discovermetal/modules/__init__.py

packethost/discover-metal

b213a9ec455dbc85f291d5941b360f2d0564b58a

[ "Apache-2.0" ]

null

discovermetal/modules/__init__.py

packethost/discover-metal

b213a9ec455dbc85f291d5941b360f2d0564b58a

[ "Apache-2.0" ]

null

from .modules import DiscoverModule, discovery_modules from .discover_components import DiscoverComponents from .discover_lldp import DiscoverLLDP

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null

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1

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5

8e537b333526c25084bad914cc1871b092dfc796

212

py

Python

Python/libraries/recognizers-text/recognizers_text/utilities.py

stevengum97/Recognizers-Text

ec56a36a00cac81f9a1c38578d350121e3ff9f2d

[ "MIT" ]

1

2017-09-29T07:11:24.000Z

Python/libraries/recognizers-text/recognizers_text/utilities.py

stevengum97/Recognizers-Text

ec56a36a00cac81f9a1c38578d350121e3ff9f2d

[ "MIT" ]

null

Python/libraries/recognizers-text/recognizers_text/utilities.py

stevengum97/Recognizers-Text

ec56a36a00cac81f9a1c38578d350121e3ff9f2d

[ "MIT" ]

null

from typing import Pattern import regex class RegExpUtility: @staticmethod def get_safe_reg_exp(source: str, flags: int = regex.I | regex.S) -> Pattern: return regex.compile(source, flags=flags)

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1

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5

8e7dd4f6b9b2d5bf7d4b0072aa97c49d60a35d3a

105

py

Python

core/models/__init__.py

moxuanchen/BMS

1d688f9ebc3efbd812948f930069f2a7109cd873

[ "Apache-2.0" ]

null

core/models/__init__.py

moxuanchen/BMS

1d688f9ebc3efbd812948f930069f2a7109cd873

[ "Apache-2.0" ]

null

core/models/__init__.py

moxuanchen/BMS

1d688f9ebc3efbd812948f930069f2a7109cd873

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from .admin_user import AdminUser from .book import Book from .user import User

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5

8ea9c9c5b1135926d8f7fd0491f17262bbfbb941

142

py

Python

foxnews/foxprofile.py

cmccvic/CBOnetwork

5cf8f119cbe0c085a2f4363126222cc652444395

[ "MIT" ]

null

foxnews/foxprofile.py

cmccvic/CBOnetwork

5cf8f119cbe0c085a2f4363126222cc652444395

[ "MIT" ]

null

foxnews/foxprofile.py

cmccvic/CBOnetwork

5cf8f119cbe0c085a2f4363126222cc652444395

[ "MIT" ]

null

my_email = 'twitterlehigh2@gmail.com' my_password = 'kB5-LXX-T7w-TLG' # my_email = 'twitterlehigh@gmail.com' # my_password = 'Lehigh131016'

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5

8ececd61697f6d8f6eb833176e8ecb37c20557a5

176

py

Python

mayan/apps/lock_manager/literals.py

boost-entropy-repos-org/Mayan-EDMS

5769f26abc56f92f8edb9d311cabf659dc0535c1

[ "Apache-2.0" ]

1

2021-02-24T15:03:23.000Z

mayan/apps/lock_manager/literals.py

ass-a2s/Mayan-EDMS

5769f26abc56f92f8edb9d311cabf659dc0535c1

[ "Apache-2.0" ]

null

mayan/apps/lock_manager/literals.py

ass-a2s/Mayan-EDMS

5769f26abc56f92f8edb9d311cabf659dc0535c1

[ "Apache-2.0" ]

1

2020-08-09T09:06:59.000Z

DEFAULT_LOCK_MANAGER_BACKEND = 'mayan.apps.lock_manager.backends.file_lock.FileLock' DEFAULT_LOCK_MANAGER_BACKEND_ARGUMENTS = {} DEFAULT_LOCK_MANAGER_DEFAULT_LOCK_TIMEOUT = 30

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null

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5

d95eeeeb8aca10787b8cfb8f166f0d625f15a1bc

509

py

Python

jedi/utils/ids.py

broadinstitute/jedi-public

bce10d7e1a89e666ec4c77a1e3448f684dc21daf

[ "BSD-3-Clause" ]

null

jedi/utils/ids.py

broadinstitute/jedi-public

bce10d7e1a89e666ec4c77a1e3448f684dc21daf

[ "BSD-3-Clause" ]

null

jedi/utils/ids.py

broadinstitute/jedi-public

bce10d7e1a89e666ec4c77a1e3448f684dc21daf

[ "BSD-3-Clause" ]

null

import csv from typing import Optional, Set import pandas as pd def ids_from_file(filename: str, id_col: str, sep: Optional[str] = '\t') -> Set[int]: return set( pd.read_csv(filename, sep=sep, quoting=csv.QUOTE_NONE, dtype={id_col: 'int64'}, usecols=[id_col])[id_col]) def subset_ids_from_file(filename: str, set_num: int, total_sets: int, id_col: str, sep: Optional[str] = '\t')\ -> Set[int]: return {x for x in ids_from_file(filename, id_col, sep) if x % total_sets == set_num}

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d97d33c5916172df765adfede842e50142bb26d4

8,956

py

Python

mocap/processing/normalize.py

jutanke/mocap

e67f9665e45884ca16a40d89fc9f7d160e5ff7b2

[ "MIT" ]

22

2019-04-17T13:42:47.000Z

2022-03-03T23:48:16.000Z

mocap/processing/normalize.py

jutanke/mocap

e67f9665e45884ca16a40d89fc9f7d160e5ff7b2

[ "MIT" ]

5

2019-04-17T13:57:25.000Z

2021-04-16T12:31:38.000Z

mocap/processing/normalize.py

jutanke/mocap

e67f9665e45884ca16a40d89fc9f7d160e5ff7b2

[ "MIT" ]

3

2020-08-27T19:32:40.000Z

2021-02-24T08:52:23.000Z

import numpy as np import numba as nb import mocap.math.geometry as gm def get_euclidean_transform(human, j_root=0, j_left=6, j_right=1, only_xy=True): """ normalize person at 0,0,0 facing 0,1,0 :param human: {32x3} :param j_root: :param j_left: :param j_right: :param only_xy: {Boolean} if True we only transfrom on xy plane """ R, t = _get_euclidean_transform(human, j_root, j_left, j_right) if not only_xy: human_transformed = apply_euclidean_transform(human, R, t) left = human_transformed[j_left] right = human_transformed[j_right] R_ = gm.get_3d_rotation_to_align_horizontally(left, right) R = R_ @ R return R, t @nb.jit(nb.types.Tuple((nb.float32[:, :], nb.float32[:,]))( nb.float32[:, :], nb.int64, nb.int64, nb.int64 ), nopython=True, nogil=True) def _get_euclidean_transform(human, j_root, j_left, j_right): """ normalize person at 0,0,0 facing (0,1,0) :param human: {32x3} :param j_root: {int} if -1, use centre of left-right :param j_left: {int} :param j_right: {int} """ left = human[j_left] right = human[j_right] if j_root >= 0: t = -human[j_root] else: # use centre between l/r t = -(left + right)/2 R = gm.get_3d_rotation_to_face_forward(left, right) return R, t @nb.jit(nb.float32[:, :]( nb.float32[:, :], nb.float32[:, :], nb.float32[:, ] ), nopython=True, nogil=True) def apply_euclidean_transform(human, R, t): """ applies rigid transform :param human: {32x3} :param R: {3x3} in SO(3) :param t: {3x1} in |R^3 """ new_human = human.copy() + t R = np.ascontiguousarray(R) for i in range(len(new_human)): p = new_human[i] new_human[i] = R @ p return new_human @nb.jit(nb.float32[:, :, :]( nb.float32[:, :, :], nb.float32[:, :], nb.float32[:, ] ), nopython=True, nogil=True) def apply_euclidean_transform_to_sequence(seq, R, t): """ applies rigid transform :param seq: :param R: :param t: :return: """ result = np.empty(seq.shape, np.float32) for i in range(len(seq)): human = seq[i] result[i] = apply_euclidean_transform(human, R, t) return result def normalize_sequence_at_frame(seq, frame, j_root=0, j_left=6, j_right=1): """ Normalize sequence at {frame} """ assert len(seq) > frame if len(seq.shape) == 2: n_frames = len(seq) seq = seq.reshape((n_frames, -1, 3)) return _normalize_sequence_at_frame(seq, frame, j_root, j_left, j_right) @nb.jit(nb.float32[:, :, :]( nb.float32[:, :, :], nb.int64, nb.int64, nb.int64, nb.int64 ), nopython=True, nogil=True) def _normalize_sequence_at_frame(seq, frame, j_root, j_left, j_right): """ Normalize the sequence at {frame} :param seq: Nx32x3 """ human = seq[frame] R, t = _get_euclidean_transform(human, j_root, j_left, j_right) result = np.empty(seq.shape, np.float32) for i in range(len(seq)): human = seq[i] result[i] = apply_euclidean_transform(human, R, t) return result @nb.jit(nb.float32[:, :, :]( nb.float32[:, :, :], nb.int64, nb.int64, nb.int64, nb.int64, nb.float32[:, :], nb.float32[:, ] ), nopython=True, nogil=True) def _normalize_sequence_at_frame_return_transforms(seq, frame, j_root, j_left, j_right, R_out, t_out): """ Normalize the sequence at {frame} :param seq: Nx32x3 """ human = seq[frame] R, t = _get_euclidean_transform(human, j_root, j_left, j_right) for i in range(3): for j in range(3): R_out[i,j] = R[i,j] t_out[i] = t[i] result = np.empty(seq.shape, np.float32) for i in range(len(seq)): human = seq[i] result[i] = apply_euclidean_transform(human, R, t) return result def remove_global_translation(seq, j_root=0): unflattend = False if len(seq.shape) == 2: unflattend = True n_frames = len(seq) seq = seq.reshape((n_frames, -1, 3)) T = np.expand_dims(seq[:, j_root, :], axis=1) seq = np.ascontiguousarray(seq - T) if unflattend: seq = seq.reshape((n_frames, -1)) return seq def remove_rotation_and_translation(seq, j_root=0, j_left=6, j_right=1): unflattend = False if len(seq.shape) == 2: unflattend = True n_frames = len(seq) seq = seq.reshape((n_frames, -1, 3)) seq = _remove_rotation_and_translation(seq, j_root, j_left, j_right) if unflattend: seq = seq.reshape((n_frames, -1)) return seq @nb.jit(nb.float32[:, :, :]( nb.float32[:, :, :], nb.int64, nb.int64, nb.int64 ), nopython=True, nogil=True) def _remove_rotation_and_translation(seq, j_root, j_left, j_right): """ :param seq: :param j_root: :param j_left: :param j_right: :return: """ n, J, dim = seq.shape result = np.empty((n, J, dim), np.float32) for i in range(n): human = seq[i] R, t = _get_euclidean_transform(human, j_root, j_left, j_right) result[i] = apply_euclidean_transform(human, R, t) return result @nb.jit(nb.float32[:, :, :]( nb.float32[:, :, :], nb.int64, nb.int64, nb.int64 ), nopython=True, nogil=True) def remove_translation(seq, j_root, j_left, j_right): R = np.eye(3, dtype=np.float32) result = np.empty(seq.shape, np.float32) for frame in range(len(seq)): human = seq[frame] left = human[j_left] right = human[j_right] if j_root >= 0: t = -human[j_root] else: # use centre between l/r t = -(left + right) / 2 result[frame] = apply_euclidean_transform(human, R, t) return result @nb.njit(nb.float32[:, :, :]( nb.float32[:, :, :], nb.int64, nb.int64 ), nogil=True) def insert_root_node_as_avg(seq, j_left, j_right): """ :param seq: [n, J, 3] :param j_left: :param j_right: :return: """ n, J, dim = seq.shape result = np.empty((n, J + 1, dim), np.float32) result[:, :J, :] = seq for t in range(n): human = seq[t] left = human[j_left] right = human[j_right] root = (left + right)/2 result[t, J, :] = root return result def batch_normalize_sequence_at_frame(seqs, frame, j_root=0, j_left=6, j_right=1, return_transforms=False, flatten_output=True): """ :param seqs: [bs x n x 54 ] :param frame: :param j_root: :param j_left: :param j_right: :return: """ n_batch = seqs.shape[0] n_frames = seqs.shape[1] if len(seqs.shape) == 3: n_joints = seqs.shape[2]//3 seqs = seqs.reshape((n_batch, n_frames, n_joints, 3)) else: n_joints = seqs.shape[2] assert len(seqs.shape) == 4, str(seqs.shape) if return_transforms: R = np.empty((n_batch, 3, 3), dtype=np.float32) T = np.empty((n_batch, 3), dtype=np.float32) seqs = _batch_normalize_sequence_at_frame_return_transforms( seqs, frame, j_root=j_root, j_left=j_left, j_right=j_right, R_out=R, t_out=T ) if flatten_output: seqs = seqs.reshape((n_batch, n_frames, n_joints*3)) return seqs, R, T else: seqs = _batch_normalize_sequence_at_frame(seqs, frame, j_root=j_root, j_left=j_left, j_right=j_right) if flatten_output: seqs = seqs.reshape((n_batch, n_frames, n_joints*3)) return seqs @nb.njit(nb.float32[:, :, :, :]( nb.float32[:, :, :, :], nb.int64, nb.int64, nb.int64, nb.int64 ), nogil=True) def _batch_normalize_sequence_at_frame(seqs, frame, j_root, j_left, j_right): """ :param seqs: [bs x n x J x 3 ] :param frame: :param j_root: :param j_left: :param j_right: :return: """ bs = len(seqs) for i in range(bs): seqs[i] = _normalize_sequence_at_frame(seqs[i], frame, j_root, j_left, j_right) return seqs @nb.njit(nb.float32[:, :, :, :]( nb.float32[:, :, :, :], nb.int64, nb.int64, nb.int64, nb.int64, nb.float32[:, :, :], nb.float32[:, :] ), nogil=True) def _batch_normalize_sequence_at_frame_return_transforms(seqs, frame, j_root, j_left, j_right, R_out, t_out): """ :param seqs: [bs x n x J x 3 ] :param frame: :param j_root: :param j_left: :param j_right: :return: """ bs = len(seqs) for i in range(bs): seqs[i] = _normalize_sequence_at_frame_return_transforms( seqs[i], frame, j_root, j_left, j_right, R_out[i], t_out[i]) return seqs

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d991ed3304b4391a73e388ef03aedebb07769554

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py

Python

hanibal/ans_escuela/models/__init__.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

hanibal/ans_escuela/models/__init__.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

hanibal/ans_escuela/models/__init__.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

import mes_academico import anio_academico import periodo_line

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79500bed84e7dd864d0f7b76da1e61545a318733

152

py

Python

setup.py

sevdog/django-reverse-js

0f42aa956d710449bba91d35c6b3b7e5040acbbf

[ "MIT" ]

null

setup.py

sevdog/django-reverse-js

0f42aa956d710449bba91d35c6b3b7e5040acbbf

[ "MIT" ]

null

setup.py

sevdog/django-reverse-js

0f42aa956d710449bba91d35c6b3b7e5040acbbf

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup setup( package_data={ 'django_reverse_js': ['templates/django_reverse_js/*.js'] } )

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797d6aedf7e7fc604610b3b9eae42d35828a3742

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py

Python

Apps/polls/Tasks/urls.py

shadowofgost/WebEngineering

693af827e3458806cdace959262cf393d29f6504

[ "Apache-2.0" ]

1

2021-04-05T05:40:17.000Z

Apps/polls/Tasks/urls.py

shadowofgost/WebEngineering

693af827e3458806cdace959262cf393d29f6504

[ "Apache-2.0" ]

null

Apps/polls/Tasks/urls.py

shadowofgost/WebEngineering

693af827e3458806cdace959262cf393d29f6504

[ "Apache-2.0" ]

null

from .Test import add from .QuitWarning import warning from .Email import email

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798c961f7cf7be5f5ab6c985436efc50f303a8e7

567

py

Python

sacrerouge/metrics/decomposed_rouge/categorizers/__init__.py

danieldeutsch/decomposed-rouge

0d723be8e3359f0bdcc9c7940336800895e46dbb

[ "Apache-2.0" ]

1

2022-03-30T13:39:10.000Z

sacrerouge/metrics/decomposed_rouge/categorizers/__init__.py

danieldeutsch/decomposed-rouge

0d723be8e3359f0bdcc9c7940336800895e46dbb

[ "Apache-2.0" ]

null

sacrerouge/metrics/decomposed_rouge/categorizers/__init__.py

danieldeutsch/decomposed-rouge

0d723be8e3359f0bdcc9c7940336800895e46dbb

[ "Apache-2.0" ]

1

2021-12-05T14:55:10.000Z

from sacrerouge.metrics.decomposed_rouge.categorizers.categorizer import Categorizer, TupleCategorizer from sacrerouge.metrics.decomposed_rouge.categorizers.dep import DependencyCategorizer, DependencyVerbRelationsCategorizer from sacrerouge.metrics.decomposed_rouge.categorizers.ner import NERCategorizer from sacrerouge.metrics.decomposed_rouge.categorizers.np_chunks import NPChunkCategorizer from sacrerouge.metrics.decomposed_rouge.categorizers.pos import POSCategorizer from sacrerouge.metrics.decomposed_rouge.categorizers.stopwords import StopwordCategorizer

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0

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799c1849eeece29532c5061f6dba07c0c87e4e7f

119

py

Python

tools/regression/xsl_reports/utils/makedirs.py

zyiacas/boost-doc-zh

689e5a3a0a4dbead1a960f7b039e3decda54aa2c

[ "BSL-1.0" ]

198

2015-01-13T05:47:18.000Z

2022-03-09T04:46:46.000Z

tools/regression/xsl_reports/utils/makedirs.py

sdfict/boost-doc-zh

689e5a3a0a4dbead1a960f7b039e3decda54aa2c

[ "BSL-1.0" ]

9

2015-01-28T16:33:19.000Z

2020-04-12T23:03:28.000Z

tools/regression/xsl_reports/utils/makedirs.py

sdfict/boost-doc-zh

689e5a3a0a4dbead1a960f7b039e3decda54aa2c

[ "BSL-1.0" ]

139

2015-01-15T20:09:31.000Z

2022-01-31T15:21:16.000Z

import os.path import os def makedirs( path ): if not os.path.exists( path ): os.makedirs( path )

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119

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49

py

Python

hello_world_Eric_G.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

2

2018-09-28T18:46:05.000Z

2018-09-28T19:00:27.000Z

hello_world_Eric_G.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

67

2018-09-26T06:39:43.000Z

2018-10-03T15:32:12.000Z

hello_world_Eric_G.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

62

2018-09-27T20:12:32.000Z

2018-10-03T23:53:47.000Z

#!/usr/bin/env python3 print("Hello from Eric!")

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null

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1

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1

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5

79c8ad2472a64c9298cdd2ed272ddfdd810d75ae

104

py

Python

backend/backend/config/tasks.py

epm0dev/django-vue-postgres-celery-redis

82884645626acbd7f106ac8ee31f14d7a8fefbee

[ "MIT" ]

2

2020-12-29T05:33:27.000Z

2022-01-17T21:34:18.000Z

backend/backend/config/tasks.py

epm0dev/django-vue-postgres-celery-redis

82884645626acbd7f106ac8ee31f14d7a8fefbee

[ "MIT" ]

null

backend/backend/config/tasks.py

epm0dev/django-vue-postgres-celery-redis

82884645626acbd7f106ac8ee31f14d7a8fefbee

[ "MIT" ]

null

from celery import shared_task @shared_task def sample_task(): print("The sample task just ran.")

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16

104

4.625

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0.173077

104

6

39

17.333333

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5

79d73b0b180f98865b387551d841be5531139c4b

11

py

Python

docker/python/app/codes/questions/course1/lesson1/study5/5/sample.py

morisakigogogo/python-react-demo

656299a200479bc5b508c6d15ad8d4cfbb0c7fe0

[ "MIT" ]

null

docker/python/app/codes/questions/course1/lesson1/study5/5/sample.py

morisakigogogo/python-react-demo

656299a200479bc5b508c6d15ad8d4cfbb0c7fe0

[ "MIT" ]

null

docker/python/app/codes/questions/course1/lesson1/study5/5/sample.py

morisakigogogo/python-react-demo

656299a200479bc5b508c6d15ad8d4cfbb0c7fe0

[ "MIT" ]

null

print(2*5)

5.5

10

0.636364

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11

2.333333

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11

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null

0

1

0

1

0

5

8dbff3e776c5b723ff45b5eeadabe64e59ae78ae

37

py

Python

simulate.py

johnobrien/swa.sim

753b29892a3585ddfa63eb10226422a831a2feba

[ "MIT" ]

null

simulate.py

johnobrien/swa.sim

753b29892a3585ddfa63eb10226422a831a2feba

[ "MIT" ]

null

simulate.py

johnobrien/swa.sim

753b29892a3585ddfa63eb10226422a831a2feba

[ "MIT" ]

null

from squadron import Squadron, Wing

12.333333

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5

8dc1092863829e390c26455f85a75691282e0b6e

94

py

Python

statslib/utils/__init__.py

ashubertt/statslib

5a35c0d10c3ca44c2d48f329c4f3790c91c385ac

[ "Apache-2.0" ]

null

statslib/utils/__init__.py

ashubertt/statslib

5a35c0d10c3ca44c2d48f329c4f3790c91c385ac

[ "Apache-2.0" ]

1

2021-04-06T10:55:34.000Z

statslib/utils/__init__.py

ashubertt/statslib

5a35c0d10c3ca44c2d48f329c4f3790c91c385ac

[ "Apache-2.0" ]

null

from statslib.utils import (common, dates, dframe, excel, file, plots, log, mailing, scraping)

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1

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1

0

1

0

5

5c1e65258a971813589183d772b1c7268a24762e

148

py

Python

src/demos/greedy/coinchange3.py

DavidLlorens/algoritmia

40ca0a89ea6de9b633fa5f697f0a28cae70816a2

[ "MIT" ]

6

2018-09-15T15:09:10.000Z

2022-02-27T01:23:11.000Z

src/demos/greedy/coinchange3.py

JeromeIllgner/algoritmia

406afe7206f2411557859bf03480c16db7dcce0d

[ "MIT" ]

null

src/demos/greedy/coinchange3.py

JeromeIllgner/algoritmia

406afe7206f2411557859bf03480c16db7dcce0d

[ "MIT" ]

5

2018-07-10T20:19:55.000Z

2021-03-31T03:32:22.000Z

#coding: latin1 #< full from algoritmia.problems.coinchange.greedy3 import ChangeSolver print(ChangeSolver([1, 2, 5, 10]).solve(11)) #> full

21.142857

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7

65

21.142857

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5

30c2bd19ba601015598ac8782344363b84400495

166

py

Python

services/datetime_utils.py

oslokommune/okdata-event-stream-api

42d4c35a30ff784d00117e2d75078699abb7640e

[ "MIT" ]

1

2021-09-09T11:43:41.000Z

services/datetime_utils.py

oslokommune/okdata-event-stream-api

42d4c35a30ff784d00117e2d75078699abb7640e

[ "MIT" ]

4

2021-08-04T07:10:20.000Z

2022-03-30T14:14:14.000Z

services/datetime_utils.py

oslokommune/okdata-event-stream-api

42d4c35a30ff784d00117e2d75078699abb7640e

[ "MIT" ]

null

import pytz import datetime def utc_now_with_timezone(): utc_now = datetime.datetime.utcnow() utc_now = utc_now.replace(tzinfo=pytz.utc) return utc_now

18.444444

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166

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0.48

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0.168675

166

8

47

20.75

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0

1

0.166667

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0

0.333333

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null

1

0

1

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null

0

1

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1

0

5

eb840953ee63b8c53e80346aea4361db7727b93d

92

py

Python

cv2/src/shallowflow/cv2/transformers/__init__.py

waikato-datamining/shallow-flow

3f1d99921e5138598eb164edeb1d23e6f199501c

[ "MIT" ]

null

cv2/src/shallowflow/cv2/transformers/__init__.py

waikato-datamining/shallow-flow

3f1d99921e5138598eb164edeb1d23e6f199501c

[ "MIT" ]

2

2021-08-18T22:00:08.000Z

2021-08-18T22:00:47.000Z

cv2/src/shallowflow/cv2/transformers/__init__.py

waikato-datamining/shallowflow

3f1d99921e5138598eb164edeb1d23e6f199501c

[ "MIT" ]

null

from ._ImageFileReader import ImageFileReader from ._VideoFileReader import VideoFileReader

30.666667

45

0.891304

8

92

10

0.5

0

0.086957

92

2

46

0.952381

0

1

0

true

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

ebbcd6510231737c15e2cf450e1abf2b68e380c7

144

py

Python

seed/__main__.py

Energy-Track-and-Trace/ett-development

956e3e0431d09dcd8961718dfa39fc3eed66af23

[ "Apache-2.0" ]

null

seed/__main__.py

Energy-Track-and-Trace/ett-development

956e3e0431d09dcd8961718dfa39fc3eed66af23

[ "Apache-2.0" ]

null

seed/__main__.py

Energy-Track-and-Trace/ett-development

956e3e0431d09dcd8961718dfa39fc3eed66af23

[ "Apache-2.0" ]

null

""" Seed the system with some data (by publishing Kafka messages). """ from energytt_platform.bus import topics as t from .bus import broker

16

62

0.75

22

144

4.863636

0.863636

0.168224

0

0.173611

144

8

63

18

0.89916

0.430556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ebbd9686a0854e04c90f63ee72b5e3d53d6ee471

181

py

Python

hanabi_multiagent_framework/__init__.py

braintimeException/hanabi-multiagent-framework

24007c9f7b8a6150651eb01071215518cb33c67d

[ "MIT" ]

3

2021-02-18T23:29:25.000Z

2021-11-12T19:44:27.000Z

hanabi_multiagent_framework/__init__.py

braintimeException/hanabi-multiagent-framework

24007c9f7b8a6150651eb01071215518cb33c67d

[ "MIT" ]

null

hanabi_multiagent_framework/__init__.py

braintimeException/hanabi-multiagent-framework

24007c9f7b8a6150651eb01071215518cb33c67d

[ "MIT" ]

6

2020-09-21T21:05:01.000Z

2021-06-23T18:27:26.000Z

from .parallel_session import HanabiParallelSession from .environment import HanabiParallelEnvironment # from hanabi_multiagent_framework.utils.utils import make_hanabi_env_config

45.25

77

0.895028

20

181

7.8

0.7

0

0.077348

181

3

78

60.333333

0.934132

0.40884

0

1

0

true

0

1

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

ebcc3bf7ae2ebdae9001aa8f68113c8d38e8a368

93

py

Python

ClassFiles/Python101/Basic/Variables.py

minefarmer/CompletePython

6de46e7ee29d9e4eaada60352c193f552afd6f15

[ "Unlicense" ]

null

ClassFiles/Python101/Basic/Variables.py

minefarmer/CompletePython

6de46e7ee29d9e4eaada60352c193f552afd6f15

[ "Unlicense" ]

null

ClassFiles/Python101/Basic/Variables.py

minefarmer/CompletePython

6de46e7ee29d9e4eaada60352c193f552afd6f15

[ "Unlicense" ]

null

course = "Python 101" name = ("Carl Richard Matson") print(course) # Python 101 print(name)

18.6

30

0.698925

13

93

5

0.615385

0.369231

0.461538

0

0.076923

0.16129

93

5

31

18.6

0.75641

0.107527

0

0.353659

0

1

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false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

5

6901bf3e0bbb731872abb2ddd2af899078d7d213

221

py

Python

niaaml/data/__init__.py

musicinmybrain/NiaAML

58d879cb1d5f8a458bb5cca115e68c125418fc6e

[ "MIT" ]

22

2020-09-01T06:54:40.000Z

2022-03-21T04:13:57.000Z

niaaml/data/__init__.py

musicinmybrain/NiaAML

58d879cb1d5f8a458bb5cca115e68c125418fc6e

[ "MIT" ]

26

2020-09-08T15:22:53.000Z

2022-03-04T01:48:45.000Z

niaaml/data/__init__.py

musicinmybrain/NiaAML

58d879cb1d5f8a458bb5cca115e68c125418fc6e

[ "MIT" ]

19

2020-10-14T11:50:40.000Z

2022-03-04T01:43:49.000Z

from niaaml.data.data_reader import DataReader from niaaml.data.basic_data_reader import BasicDataReader from niaaml.data.csv_data_reader import CSVDataReader __all__ = ["DataReader", "CSVDataReader", "BasicDataReader"]

36.833333

60

0.841629

27

221

6.555556

0.407407

0.169492

0.237288

0

0.081448

221

5

61

44.2

0.871921

0

0.171946

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

692ab27dcc6d1ba66c7d896eda017f92a6450251

71

py

Python

booster/utils/__init__.py

vlievin/booster-pytorch

a8f447160c30224112731a25f90f6f97126a34b2

[ "MIT" ]

4

2019-12-10T06:41:29.000Z

2021-08-06T13:34:59.000Z

booster/utils/__init__.py

vlievin/booster-pytorch

a8f447160c30224112731a25f90f6f97126a34b2

[ "MIT" ]

null

booster/utils/__init__.py

vlievin/booster-pytorch

a8f447160c30224112731a25f90f6f97126a34b2

[ "MIT" ]

1

2020-08-20T16:12:53.000Z

from .ema import EMA from .functional import * from .schedule import *

17.75

25

0.760563

10

71

5.4

0.5

0

0.169014

71

3

26

23.666667

0.915254

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

693ecc1c4c5b3e70e6f4392ec8fefa2c42b507d4

37

py

Python

playground/test_demo.py

HackBulgaria/Programming-101-Python-2020-Spring

443446028df7fe78fcdd6c37dada0b5cd8ed3c93

[ "MIT" ]

30

2020-01-22T17:22:43.000Z

2022-01-26T08:28:57.000Z

playground/test_demo.py

HackBulgaria/Programming-101-Python-2020-Spring

443446028df7fe78fcdd6c37dada0b5cd8ed3c93

[ "MIT" ]

1

2020-01-21T19:50:47.000Z

2020-03-18T16:18:31.000Z

playground/test_demo.py

HackBulgaria/Programming-101-Python-2020-Spring

443446028df7fe78fcdd6c37dada0b5cd8ed3c93

[ "MIT" ]

7

2019-11-28T15:59:16.000Z

2020-12-05T08:39:02.000Z

class TestDemo: print('testing')

12.333333

20

0.675676

4

37

6.25

1

0

0.189189

37

2

21

18.5

0.833333

0

0.189189

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

693fd4dd0967c949f9e02b70d63ad81870e7edf5

47

py

Python

server/__init__.py

sarthak212/Own-Proxy

a5723f5b86db690b0a255f962d6d910929ddcf4a

[ "MIT" ]

3

2020-06-04T17:28:27.000Z

2020-07-16T12:15:45.000Z

server/__init__.py

sarthak212/Own-Proxy

a5723f5b86db690b0a255f962d6d910929ddcf4a

[ "MIT" ]

null

server/__init__.py

sarthak212/Own-Proxy

a5723f5b86db690b0a255f962d6d910929ddcf4a

[ "MIT" ]

null

# This module provide server part of this proxy

47

0.808511

8

47

4.75

0.875

0

0.170213

47

1

47

0.974359

0.957447

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

69706f26b6cd4f5611a4578204f61ca6948e432d

66

py

Python

tests/test_plugin.py

neozenith/poetry-pyinvoke-plugin

6c24f801a50a4426003227005394bd51d1ae2ede

[ "MIT" ]

2

2022-02-17T04:00:03.000Z

2022-02-24T21:43:51.000Z

tests/test_plugin.py

neozenith/poetry-pyinvoke-plugin

6c24f801a50a4426003227005394bd51d1ae2ede

[ "MIT" ]

null

tests/test_plugin.py

neozenith/poetry-pyinvoke-plugin

6c24f801a50a4426003227005394bd51d1ae2ede

[ "MIT" ]

null

def test_invoke() -> None: # TODO: add actual testing ...

16.5

30

0.575758

8

66

4.625

1

0

0.272727

66

3

31

22

0.770833

0.363636

0

0.333333

0

1

0.5

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

15ecea42e3a109bbc0d823332da9b996ee98f236

66

py

Python

deephyper/benchmark/nas/dixonpriceReg/__init__.py

Z223I/deephyper

4fd1054dc22f15197567bdd93c6e7a95a614b8e2

[ "BSD-3-Clause" ]

185

2018-11-06T18:49:47.000Z

2022-03-31T22:10:41.000Z

deephyper/benchmark/nas/dixonpriceReg/__init__.py

Z223I/deephyper

4fd1054dc22f15197567bdd93c6e7a95a614b8e2

[ "BSD-3-Clause" ]

108

2018-12-17T17:58:05.000Z

2022-03-16T10:22:08.000Z

deephyper/benchmark/nas/dixonpriceReg/__init__.py

Z223I/deephyper

4fd1054dc22f15197567bdd93c6e7a95a614b8e2

[ "BSD-3-Clause" ]

50

2018-12-11T20:41:41.000Z

2022-02-25T19:50:47.000Z

from deephyper.benchmark.nas.dixonpriceReg.problem import Problem

33

65

0.878788

8

66

7.25

0.875

0

0.060606

66

1

66

0.935484

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c60fa3e13abc2b0b38a359a312e679e0fcc5a0d9

63

py

Python

pyreferrer/__init__.py

douglas/pyreferrer

40c833c86f76ba607df979cfa2a387c897380042

[ "MIT" ]

null

pyreferrer/__init__.py

douglas/pyreferrer

40c833c86f76ba607df979cfa2a387c897380042

[ "MIT" ]

null

pyreferrer/__init__.py

douglas/pyreferrer

40c833c86f76ba607df979cfa2a387c897380042

[ "MIT" ]

1

2016-04-25T14:46:42.000Z

from __future__ import absolute_import from .referrer import *

21

38

0.84127

8

63

6

0.625

0

0.126984

63

2

39

31.5

0.872727

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c6281a7df457dd91957c95689e61faa59451184e

114

py

Python

pronto/utils/impl.py

flying-sheep/pronto

37126293472293b4bb3f406b41198a351fec4542

[ "MIT" ]

null

pronto/utils/impl.py

flying-sheep/pronto

37126293472293b4bb3f406b41198a351fec4542

[ "MIT" ]

null

pronto/utils/impl.py

flying-sheep/pronto

37126293472293b4bb3f406b41198a351fec4542

[ "MIT" ]

null

try: import lxml.etree as etree except ImportError: import xml.etree.ElementTree as etree # type: ignore

22.8

57

0.736842

16

114

5.25

0.6875

0.166667

0

0.201754

114

4

58

28.5

0.923077

0.105263

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c62c9783bfe82bdcf212c2c4ce65536ec3efa006

96

py

Python

Demo Program/ex2.py

HelloYeew/helloyeew-lab-computer-programming-i

60b05072f32f23bab4a336b506ba7f66e52c045d

[ "MIT" ]

null

Demo Program/ex2.py

HelloYeew/helloyeew-lab-computer-programming-i

60b05072f32f23bab4a336b506ba7f66e52c045d

[ "MIT" ]

null

Demo Program/ex2.py

HelloYeew/helloyeew-lab-computer-programming-i

60b05072f32f23bab4a336b506ba7f66e52c045d

[ "MIT" ]

null

def print_hello(name=''): print('Hello,'+name) name = 'Ann' name2 = 'Bob' print_hello(name2)

19.2

25

0.65625

14

96

4.357143

0.5

0.491803

0.459016

0

0.024096

0.135417

96

5

26

19.2

0.710843

0

0.123711

0

1

0.2

false

0

0.2

0.6

1

0

null

1

0

1

0

null

0

1

0

5

c644243b989d34874961b0dc5c5504c1da642e4e

97

py

Python

tests/conftest.py

BuddingLab/auth_swust

b47747e5ee207449708cc411bb57ff2e413c4c95

[ "MIT" ]

5

2019-09-02T12:40:42.000Z

2020-02-20T04:40:14.000Z

tests/conftest.py

Kelab/auth_swust

b47747e5ee207449708cc411bb57ff2e413c4c95

[ "MIT" ]

3

2020-05-04T14:10:57.000Z

2021-01-08T16:04:53.000Z

tests/conftest.py

Kelab/auth_swust

b47747e5ee207449708cc411bb57ff2e413c4c95

[ "MIT" ]

2

2020-02-20T07:01:07.000Z

2020-04-05T18:29:47.000Z

import os from dotenv import load_dotenv load_dotenv(verbose=True) os.environ["no_proxy"] = "*"

16.166667

30

0.762887

15

97

4.733333

0.666667

0.28169

0

0.113402

97

5

31

19.4

0.825581

0

0.092784

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c651b5aa3687e514190bb4cc137507d21c025afc

86

py

Python

service-domain-example/domain/__init__.py

emperorcezar/architecture-examples

d9ea3950ec03ff5761780d839876f7b96e3d14c9

[ "MIT" ]

null

service-domain-example/domain/__init__.py

emperorcezar/architecture-examples

d9ea3950ec03ff5761780d839876f7b96e3d14c9

[ "MIT" ]

null

service-domain-example/domain/__init__.py

emperorcezar/architecture-examples

d9ea3950ec03ff5761780d839876f7b96e3d14c9

[ "MIT" ]

null

from sub_domain import service as sub_domain_service __all__ = ('sub_domain_service')

28.666667

52

0.837209

13

86

4.846154

0.538462

0.428571

0.507937

0

0.104651

86

3

53

28.666667

0.818182

0

0.206897

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

d67a631f6c77a410e182263f2680cf544b843283

6,028

py

Python

lda_svm.py

lliutianc/stats700proj

7697dbbc3d16078f9d03be3fa96c9d518fd62661

[ "MIT" ]

1

2020-11-19T09:24:02.000Z

lda_svm.py

lliutianc/stats700proj

7697dbbc3d16078f9d03be3fa96c9d518fd62661

[ "MIT" ]

null

lda_svm.py

lliutianc/stats700proj

7697dbbc3d16078f9d03be3fa96c9d518fd62661

[ "MIT" ]

1

2020-10-13T21:58:53.000Z

import argparse, os, time, pickle import tomotopy as tp import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import SGDClassifier from sklearn.svm import LinearSVC from sklearn.metrics import accuracy_score from data import * from util import * from lda_trial import * def main(args): trainset = IMDBDataset('train', data_limit=20_000) validset = IMDBDataset('valid') if args.task == 'k': n = 20000 ks = [2, 5, 10, 20, 50] train_accu = [0 for _ in range(len(ks))] test_accu = [0 for _ in range(len(ks))] times = [0 for _ in range(len(ks))] for _ in range(3): for idx, k in enumerate(ks): print(f'{k}.') start = time.time() trained_model, final_metric = tp_one_trial(trainset, args.model, k, n, 3, 5, # args.burn_in, max_iter=1000, stop_increase=5, metric='ll') times[idx] += time.time() - start lda_x, lda_y = load_LDA_data_batch(trained_model, trainset) model = LinearSVC() model.fit(lda_x, lda_y) prediction = model.predict(lda_x) ground_truth = lda_y print(f'Train: {100*accuracy_score(prediction, ground_truth):6.5f}%') train_accu[idx] += accuracy_score(prediction, ground_truth) lda_x, lda_y = load_LDA_data_batch(trained_model, validset) prediction = model.predict(lda_x) ground_truth = lda_y print(f'Test: {100*accuracy_score(prediction, ground_truth):6.5f}%') test_accu[idx] += accuracy_score(prediction, ground_truth) print('-' * 100) if args.task == 'n': k = 20 ns = [3_000, 5_000, 10_000, 15_000, 20_000] train_accu = [0 for _ in range(len(ns))] test_accu = [0 for _ in range(len(ns))] times = [0 for _ in range(len(ns))] for _ in range(3): for idx, k in enumerate(ns): print(f'{k}.') start = time.time() trained_model, final_metric = tp_one_trial(trainset, args.model, k, n, 3, 5, # args.burn_in, max_iter=1000, stop_increase=5, metric='ll') times[idx] += time.time() - start lda_x, lda_y = load_LDA_data_batch(trained_model, trainset) model = LinearSVC() model.fit(lda_x, lda_y) prediction = model.predict(lda_x) ground_truth = lda_y print(f'Train: {100*accuracy_score(prediction, ground_truth):6.5f}%') train_accu[idx] += accuracy_score(prediction, ground_truth) lda_x, lda_y = load_LDA_data_batch(trained_model, validset) prediction = model.predict(lda_x) ground_truth = lda_y print(f'Test: {100*accuracy_score(prediction, ground_truth):6.5f}%') test_accu[idx] += accuracy_score(prediction, ground_truth) print('-' * 100) train_accu = [accu / rep for accu in train_accu] test_accu = [accu / rep for accu in test_accu] times = [accu / rep for accu in times] print(train_accu) print(test_accu) print(times) print(task, args.model) if __name__ == '__main__': cur_path = os.path.abspath(os.path.dirname(__file__)) result_path = os.path.join(cur_path, 'result') make_dirs(result_path) parser = argparse.ArgumentParser(description="Stat700proj experiment") parser.add_argument("--model", type=str, choices=['lda', 'ctm', "slda"], default='lda') parser.add_argument("--rep_times", type=int, default=3) # train parser.add_argument("--task", type=str, default='k') parser.add_argument("--n", type=int, default=20_000) parser.add_argument("--k", type=int, default=20) # Other parser.add_argument("--rm_top", type=int, default=5) parser.add_argument("--min_cf", type=int, default=3) # parser.add_argument("--burn_in", type=int, default=500) args = parser.parse_args() trainset = IMDBDataset('train', data_limit=20_000) validset = IMDBDataset('valid') # n = 20000 # ks = [2, 5, 10, 20, 50] # train_accu = [0 for _ in range(len(ks))] # test_accu = [0 for _ in range(len(ks))] # times = [0 for _ in range(len(ks))] # for _ in range(3): # for idx, k in enumerate(ks): # print(f'{k}.') # start = time.time() # trained_model, final_metric = tp_one_trial(trainset, args.model, k, n, # 3, 5, # args.burn_in, # max_iter=1000, stop_increase=5, metric='ll') # times[idx] += time.time() - start # lda_x, lda_y = load_LDA_data_batch(trained_model, trainset) # model = LinearSVC() # model.fit(lda_x, lda_y) # prediction = model.predict(lda_x) # ground_truth = lda_y # print(f'Train: {100*accuracy_score(prediction, ground_truth):6.5f}%') # train_accu[idx] += accuracy_score(prediction, ground_truth) # lda_x, lda_y = load_LDA_data_batch(trained_model, validset) # prediction = model.predict(lda_x) # ground_truth = lda_y # print(f'Test: {100*accuracy_score(prediction, ground_truth):6.5f}%') # test_accu[idx] += accuracy_score(prediction, ground_truth) # print('-' * 100) # train_accu = [accu / rep for accu in train_accu] # test_accu = [accu / rep for accu in test_accu] # times = [accu / rep for accu in times] # print(train_accu) # print(test_accu) # print(times) main(args)

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augmenty/lang/fr/__init__.py

koaning/augmenty

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[ "MIT" ]

null

augmenty/lang/fr/__init__.py

koaning/augmenty

13dbdbb5fd56b36c97678ae48d1e0d869987f6dd

[ "MIT" ]

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2022-03-12T02:25:00.000Z

2022-03-12T02:26:01.000Z

augmenty/lang/fr/__init__.py

HishamKhdair/augmenty

a65a7beac410f53706bb7838026f2bac9b89d544

[ "MIT" ]

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from .keyboard import create_qwerty_fr

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todolist/admin.py

mastershaig/todoapp

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2021-02-01T14:37:47.000Z

todolist/admin.py

mastershaig/todoapp

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[ "Apache-2.0" ]

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2021-02-01T14:32:45.000Z

2022-02-10T07:31:39.000Z

todolist/admin.py

mastershaig/todoapp

38987db14f9e543cb01153cc84e1f67b445e07ec

[ "Apache-2.0" ]

null

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

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Python

tests/test_simple_cmne.py

brain-link/cmne

0d87e0bcd0041b250ee484f39341a0bf83f72949

[ "MIT" ]

null

tests/test_simple_cmne.py

brain-link/cmne

0d87e0bcd0041b250ee484f39341a0bf83f72949

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null

tests/test_simple_cmne.py

brain-link/cmne

0d87e0bcd0041b250ee484f39341a0bf83f72949

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2022-03-15T12:28:20.000Z

from datetime import datetime def test_is_float(): assert 1 > 0 assert not 2 < 1

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Python

test_scripts/pwd.py

mgood/lola

8a2738f9a875358c412447f0d48359c9480daa07

[ "BSD-3-Clause" ]

1

2018-10-10T06:54:32.000Z

test_scripts/pwd.py

mgood/lola

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null

test_scripts/pwd.py

mgood/lola

8a2738f9a875358c412447f0d48359c9480daa07

[ "BSD-3-Clause" ]

null

import os import sys sys.stdout.write(os.getcwd())

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py

Python

highcharts/views/__init__.py

ernestoarbitrio/django-highcharts

644c2b3eeb478836b9916dbf31ce9f67478c9da1

[ "BSD-3-Clause" ]

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2015-01-21T15:43:20.000Z

2022-03-29T15:22:52.000Z

highcharts/views/__init__.py

IronOnet/django-highcharts-1

644c2b3eeb478836b9916dbf31ce9f67478c9da1

[ "BSD-3-Clause" ]

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2017-01-05T12:31:21.000Z

2018-05-09T15:29:02.000Z

highcharts/views/__init__.py

IronOnet/django-highcharts-1

644c2b3eeb478836b9916dbf31ce9f67478c9da1

[ "BSD-3-Clause" ]

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2015-01-21T16:09:02.000Z

2022-03-29T15:33:35.000Z

from highcharts.views.bar import HighChartsBarView from highcharts.views.line import HighChartsLineView from highcharts.views.area import HighChartsAreaView from highcharts.views.multiple_axes import HighChartsMultiAxesView from highcharts.views.pie import HighChartsPieView from highcharts.views.speedometer import HighChartsSpeedometerView from highcharts.views.multiple_axes import HighChartsStockView from highcharts.views.heatmap import HighChartsHeatMapView from highcharts.views.polar import HighChartsPolarView from highcharts.views.multiple_axes import HighChartsMultiXAxesView

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wrappers/python/pyrealsense2/__init__.py

seagull1993/librealsense

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wrappers/python/pyrealsense2/__init__.py

seagull1993/librealsense

18cf36775c16efd1f727b656c7e88a928a53a427

[ "Apache-2.0" ]

8,393

2016-01-21T09:47:28.000Z

2022-03-31T22:21:42.000Z

wrappers/python/pyrealsense2/__init__.py

seagull1993/librealsense

18cf36775c16efd1f727b656c7e88a928a53a427

[ "Apache-2.0" ]

4,874

2016-01-21T09:20:08.000Z

2022-03-31T15:18:00.000Z

# py libs (pyd/so) should be copied to pyrealsense2 folder from .pyrealsense2 import *

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Python

fileio/pyfits.py

exoplanetvetting/DAVE

aea19a30d987b214fb4c0cf01aa733f127c411b9

[ "MIT" ]

7

2019-05-07T02:01:51.000Z

2022-03-16T08:09:39.000Z

fileio/pyfits.py

barentsen/dave

45ba97b7b535ad26dd555c33c963c6224a9af23c

[ "MIT" ]

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2015-12-09T22:18:59.000Z

2017-04-26T13:11:44.000Z

fileio/pyfits.py

barentsen/dave

45ba97b7b535ad26dd555c33c963c6224a9af23c

[ "MIT" ]

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2017-03-08T11:42:53.000Z

2020-05-07T00:10:37.000Z

#Much of fergal's code imports pyfits. So this module stops python #complaining because pyfits doesn't exist anymore. from astropy.io.fits import *

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py

Python

hubconf.py

megvii-model/FunnelAct

8a9cdc67b55b1a226ecc0e65971340043d740551

[ "MIT" ]

178

2020-07-23T04:23:59.000Z

2022-02-11T07:42:27.000Z

hubconf.py

megvii-model/FunnelAct

8a9cdc67b55b1a226ecc0e65971340043d740551

[ "MIT" ]

13

2020-07-27T10:42:51.000Z

2021-09-25T02:31:51.000Z

hubconf.py

megvii-model/FunnelAct

8a9cdc67b55b1a226ecc0e65971340043d740551

[ "MIT" ]

21

2020-07-24T05:27:22.000Z

2021-11-29T12:42:55.000Z

import sys sys.path.insert(0, "resnet") sys.path.insert(0, "shufflenetv2") from resnet import ( resnet50_frelu, ) from shufflenet_v2 import ( shufflenet_v2_x0_5, )

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QRCodeLib/qrcodelib/__init__.py

yas78/QRCodeLibPy

7b2c489b5e38aa23619ae41bff7a31993885275b

[ "MIT" ]

null

QRCodeLib/qrcodelib/__init__.py

yas78/QRCodeLibPy

7b2c489b5e38aa23619ae41bff7a31993885275b

[ "MIT" ]

1

2019-11-04T13:44:44.000Z

QRCodeLib/qrcodelib/__init__.py

yas78/QRCodeLibPy

7b2c489b5e38aa23619ae41bff7a31993885275b

[ "MIT" ]

null

from .error_correction_level import ErrorCorrectionLevel from .symbol import Symbol from .symbols import Symbols

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py

Python

widgets/__init__.py

mensch272/sudoku

a8ae68e27a2ac98e9087a332a7093f903f0bb1a3

[ "Apache-2.0" ]

5

2020-01-18T00:55:21.000Z

2020-01-21T11:14:53.000Z

widgets/__init__.py

mHaisham/sudoku

a8ae68e27a2ac98e9087a332a7093f903f0bb1a3

[ "Apache-2.0" ]

null

widgets/__init__.py

mHaisham/sudoku

a8ae68e27a2ac98e9087a332a7093f903f0bb1a3

[ "Apache-2.0" ]

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2020-01-18T04:52:57.000Z

2020-01-21T12:09:18.000Z

from .subgrid import SubGrid from .tile import GridTile from .grid import Grid

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py

Python

eval_arch.py

lilujunai/CNAS

f68bb46031597725196c3be3c301dd5853eaf08d

[ "BSD-3-Clause" ]

17

2020-06-23T10:41:23.000Z

2021-11-10T13:39:03.000Z

eval_arch.py

guoyongcs/CNAS

f68bb46031597725196c3be3c301dd5853eaf08d

[ "BSD-3-Clause" ]

null

eval_arch.py

guoyongcs/CNAS

f68bb46031597725196c3be3c301dd5853eaf08d

[ "BSD-3-Clause" ]

4

2021-04-16T08:31:41.000Z

2021-09-14T10:56:46.000Z

from cnas.evaluation.core.config import args from cnas.evaluation.eval import eval_entry if __name__ == "__main__": eval_entry(args)

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py

Python

leo/plugins/writers/__init__.py

ATikhonov2/leo-editor

225aac990a9b2804aaa9dea29574d6e072e30474

[ "MIT" ]

1,550

2015-01-14T16:30:37.000Z

2022-03-31T08:55:58.000Z

leo/plugins/writers/__init__.py

ATikhonov2/leo-editor

225aac990a9b2804aaa9dea29574d6e072e30474

[ "MIT" ]

2,009

2015-01-13T16:28:52.000Z

2022-03-31T18:21:48.000Z

leo/plugins/writers/__init__.py

ATikhonov2/leo-editor

225aac990a9b2804aaa9dea29574d6e072e30474

[ "MIT" ]

200

2015-01-05T15:07:41.000Z

2022-03-07T17:05:01.000Z

#@+leo-ver=5-thin #@+node:ekr.20140726091031.18152: * @file ../plugins/writers/__init__.py # A dummy file to make leo.plugins.writers a package. #@-leo

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py

Python

src/glow_tts/hifi/__init__.py

techthiyanes/vakyansh-tts

4612b386e0e604fe892ec03e8cb1227eabc6080c

[ "MIT" ]

35

2022-01-14T14:46:58.000Z

2022-03-29T18:20:24.000Z

src/glow_tts/hifi/__init__.py

charangonuguntla/vakyansh-tts

b090eb0aa3b36cf19de99902da7caef959dad45b

[ "MIT" ]

2

2022-03-15T10:35:20.000Z

2022-03-25T05:50:45.000Z

src/glow_tts/hifi/__init__.py

charangonuguntla/vakyansh-tts

b090eb0aa3b36cf19de99902da7caef959dad45b

[ "MIT" ]

9

2022-01-14T15:35:21.000Z

2022-03-15T08:28:29.000Z

from .env import AttrDict from .models import Generator if __name__ == "__main__": pass

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py

Python

mooc50-bobo-DS/pythonNicemayi/chapter_12_AVLTree/avl_set.py

mcuallen/CodeLrn2019

adc727d92904c5c5d445a2621813dfa99474206d

[ "Apache-2.0" ]

2

2019-03-20T17:05:59.000Z

2019-10-15T07:56:45.000Z

mooc50-bobo-DS/pythonNicemayi/chapter_12_AVLTree/avl_set.py

mcuallen/CodeLrn2019

adc727d92904c5c5d445a2621813dfa99474206d

[ "Apache-2.0" ]

6

2019-12-04T06:08:32.000Z

2021-05-10T20:22:47.000Z

mooc50-bobo-DS/pythonNicemayi/chapter_12_AVLTree/avl_set.py

mcuallen/CodeLrn2019

adc727d92904c5c5d445a2621813dfa99474206d

[ "Apache-2.0" ]

null

from chapter_12_AVLTree.base import SetBase from chapter_12_AVLTree.avl_tree import AVLTree class AVLSet(SetBase): def __init__(self): self._avl = AVLTree() def get_size(self): return self._avl.get_size() def is_empty(self): return self._avl.is_empty() def add(self, key): return self._avl.add(key, None) def contains(self, key): return self._avl.contains(key) def remove(self, key): return self._avl.remove(key)

20.541667

47

0.655172

70

493

4.342857

0.342857

0.138158

0.213816

0.167763

0.197368

0

0.010695

0.241379

493

23

48

21.434783

0.802139

0

1

0.4

false

0

0.133333

0.333333

0.933333

0

null

0

1

0

null

0

1

0

1

0

5

037739d42011339e5b2e002c040ad6e237d34c7d

69

py

Python

client/src/state/state.py

juan-nunez/Space_combat

e732ef932e89c404827ac0c96aebb4f0446cefdf

[ "MIT" ]

null

client/src/state/state.py

juan-nunez/Space_combat

e732ef932e89c404827ac0c96aebb4f0446cefdf

[ "MIT" ]

null

client/src/state/state.py

juan-nunez/Space_combat

e732ef932e89c404827ac0c96aebb4f0446cefdf

[ "MIT" ]

null

class State: def __init__(self): pass def update(self): pass

8.625

20

0.666667

10

69

4.2

0.7

0.380952

0

0.231884

69

8

21

8.625

0.792453

0

0.4

0

1

0.4

false

0.4

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3026f4cbfe9581c16fb88b00b8eeb09a32a4279d

50

py

Python

pdip/integrator/integration/types/target/base/__init__.py

ahmetcagriakca/pdip

c4c16d5666a740154cabdc6762cd44d98b7bdde8

[ "MIT" ]

2

2021-12-09T21:07:46.000Z

2021-12-11T22:18:01.000Z

pdip/integrator/integration/types/target/base/__init__.py

PythonDataIntegrator/pdip

c4c16d5666a740154cabdc6762cd44d98b7bdde8

[ "MIT" ]

null

pdip/integrator/integration/types/target/base/__init__.py

PythonDataIntegrator/pdip

c4c16d5666a740154cabdc6762cd44d98b7bdde8

[ "MIT" ]

3

2021-11-15T00:47:00.000Z

2021-12-17T11:35:45.000Z

from .target_integration import TargetIntegration

25

49

0.9

5

50

8.8

1

0

0.08

50

1

50

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

303ac183c60b664306c055aa076516ba6b4e7bc5

135

py

Python

app_setup_basic/routing.py

iZonex/app_setup_basic

3693fcb7a99c8799d1ce2ce445b2ed03bafc46eb

[ "MIT" ]

null

app_setup_basic/routing.py

iZonex/app_setup_basic

3693fcb7a99c8799d1ce2ce445b2ed03bafc46eb

[ "MIT" ]

null

app_setup_basic/routing.py

iZonex/app_setup_basic

3693fcb7a99c8799d1ce2ce445b2ed03bafc46eb

[ "MIT" ]

null

from .web_handlers import handle def router_setup(app): app.router.add_get('/', handle) app.router.add_get('/{name}', handle)

22.5

41

0.696296

20

135

4.5

0.6

0.2

0.266667

0.333333

0

0.140741

135

5

42

27

0.775862

0

0.059259

0

1

0.25

false

0

0.25

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

5

304a2dea7f4919c02420f1592652113e6fc9a8d8

86

py

Python

src/test_factorial.py

jeffs/nested-watch

83916907d520368a3acd9926c21c645acb32ef50

[ "Apache-2.0" ]

null

src/test_factorial.py

jeffs/nested-watch

83916907d520368a3acd9926c21c645acb32ef50

[ "Apache-2.0" ]

null

src/test_factorial.py

jeffs/nested-watch

83916907d520368a3acd9926c21c645acb32ef50

[ "Apache-2.0" ]

null

from factorial import factorial def test_factorial(): assert 120 == factorial(5)

17.2

31

0.744186

11

86

5.727273

0.727273

0

0.056338

0.174419

86

4

32

21.5

0.830986

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

306fe439d29a709fc656c99a69e79bb143ca50ac

367

py

Python

tasks.py

ecohealthalliance/grits-api

e8a3b12785bf362c8c12afbc4cc55ca8de8485ce

[ "Apache-2.0" ]

3

2017-07-27T15:57:51.000Z

2018-06-02T09:05:00.000Z

tasks.py

ecohealthalliance/grits-api

e8a3b12785bf362c8c12afbc4cc55ca8de8485ce

[ "Apache-2.0" ]

19

2016-05-06T13:01:33.000Z

2022-03-11T23:13:25.000Z

tasks.py

ecohealthalliance/grits-api

e8a3b12785bf362c8c12afbc4cc55ca8de8485ce

[ "Apache-2.0" ]

2

2017-07-12T04:25:06.000Z

2020-01-06T19:42:02.000Z

# This is intended to prevent the celery worker from running if the # classifier has not been trained. with open('current_classifier/classifier.p') as f: pass with open('current_classifier/dict_vectorizer.p') as f: pass with open('current_classifier/keyword_array.p') as f: pass import tasks_preprocess import tasks_diagnose from tasks_preprocess import celery_tasks

40.777778

67

0.820163

58

367

5.034483

0.534483

0.082192

0.15411

0.256849

0.226027

0

0.114441

367

8

68

45.875

0.898462

0.26703

0

0.379699

0

1

0

true

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

5

061a2577d1371e75ef9d7230595f829d966cb813

316

py

Python

toss/helpers/api/viewsets.py

toss-app/toss-backend

66765bb350cb165340163ce34186dfc69d38dc02

[ "Apache-2.0" ]

null

toss/helpers/api/viewsets.py

toss-app/toss-backend

66765bb350cb165340163ce34186dfc69d38dc02

[ "Apache-2.0" ]

1

2016-10-22T21:32:35.000Z

toss/helpers/api/viewsets.py

toss-app/toss-backend

66765bb350cb165340163ce34186dfc69d38dc02

[ "Apache-2.0" ]

null

from rest_framework import viewsets from rest_framework.authentication import TokenAuthentication from rest_framework.permissions import IsAuthenticated, AllowAny class AuthenticatedModelViewSet(viewsets.ModelViewSet): authentication_classes = (TokenAuthentication,) permission_classes = (IsAuthenticated,)

39.5

64

0.857595

28

316

9.5

0.535714

0.090226

0.191729

0

0.094937

316

7

65

45.142857

0.93007

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

065ab3f77fb7ee40c6cdd39b9255d9177063ef3e

175

py

Python

src/tests/conftest.py

ghandic/6502Emulator

e647f86e5af777a2e0d8bccc50522e6db4e39162

[ "MIT" ]

null

src/tests/conftest.py

ghandic/6502Emulator

e647f86e5af777a2e0d8bccc50522e6db4e39162

[ "MIT" ]

null

src/tests/conftest.py

ghandic/6502Emulator

e647f86e5af777a2e0d8bccc50522e6db4e39162

[ "MIT" ]

null

import warnings import pytest from ..emulator.m6502 import CPU warnings.filterwarnings("ignore", category=DeprecationWarning) @pytest.fixture def cpu(): return CPU()

13.461538

62

0.765714

20

175

6.7

0.7

0

0.02649

0.137143

175

12

63

14.583333

0.860927

0

0.034286

0

1

0.142857

true

0

0.428571

0.142857

0.714286

0

1

0

null

0

null

0

1

0

1

0

5

23251de813a5e64394210dd5a492970ba5c385a2

47

py

Python

objects/messages.py

iDoppioclick/MarksBot

5b26730e838b44772e71d26b4d53d5ec23960a20

[ "MIT" ]

4

2019-01-30T15:05:54.000Z

2021-02-24T16:12:47.000Z

objects/messages.py

iDoppioclick/MarksBot

5b26730e838b44772e71d26b4d53d5ec23960a20

[ "MIT" ]

null

objects/messages.py

iDoppioclick/MarksBot

5b26730e838b44772e71d26b4d53d5ec23960a20

[ "MIT" ]

2

2019-01-30T15:08:48.000Z

2020-10-04T09:56:33.000Z

def command_not_found(chat, message): pass

15.666667

37

0.744681

7

47

4.714286

1

0

0.170213

47

2

38

23.5

0.846154

0

1

0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

235cba6c221ab4c5cf992e174fe5fec37fc0f49b

220

py

Python

BOJ/15000~15999/15637.py

shinkeonkim/today-ps

f3e5e38c5215f19579bb0422f303a9c18c626afa

[ "Apache-2.0" ]

2

2020-01-29T06:54:41.000Z

2021-11-07T13:23:27.000Z

BOJ/15000~15999/15637.py

shinkeonkim/Today_PS

bb0cda0ee1b9c57e1cfa38355e29d0f1c6167a44

[ "Apache-2.0" ]

null

BOJ/15000~15999/15637.py

shinkeonkim/Today_PS

bb0cda0ee1b9c57e1cfa38355e29d0f1c6167a44

[ "Apache-2.0" ]

null

L = [0, 103, 88, 91, 99, 101, 86, 96, 100, 71, 91, 96, 91, 98, 102, 96, 85, 102, 97, 91, 112, 85, 79, 86, 91, 97, 98, 110, 80, 88, 80, 95, 83, 93, 109, 88, 91, 103, 90, 95, 113, 81, 86, 97, 93, 93] print(L[int(input())])

110

197

0.527273

51

220

2.27451

0.568627

0.068966

0

0.587209

0.218182

220

2

198

110

0.087209

0

1

0

false

0

0.5

0

null

0

1

0

1

0

1

0

null

0

1

0

5

23750c4c0f0e857e98e0109e5b3e9e785e4a25e3

98

py

Python

virtual/balance_sheet.py

PyUnchained/books

656d375765300accb1767a8ab1bf4b96c884539f

[ "MIT" ]

null

virtual/balance_sheet.py

PyUnchained/books

656d375765300accb1767a8ab1bf4b96c884539f

[ "MIT" ]

14

2019-10-23T00:01:18.000Z

2022-03-11T23:38:52.000Z

virtual/balance_sheet.py

PyUnchained/books

656d375765300accb1767a8ab1bf4b96c884539f

[ "MIT" ]

null

def balance_sheet_table(virtual_journal): if virtual_journal.rule.preset == 'BS': pass

32.666667

43

0.714286

13

98

5.076923

0.846154

0.424242

0

0.183673

98

3

44

32.666667

0.825

0

0.020202

0

1

0.333333

false

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

88c67622143bd76140310d552a348be06da77b4d

82

py

Python

session1/happy.py

aiyer786/wuba-luba-dub-dub

efa9d9c75456016fe7f6becad82a831593d87aa9

[ "MIT" ]

null

session1/happy.py

aiyer786/wuba-luba-dub-dub

efa9d9c75456016fe7f6becad82a831593d87aa9

[ "MIT" ]

null

session1/happy.py

aiyer786/wuba-luba-dub-dub

efa9d9c75456016fe7f6becad82a831593d87aa9

[ "MIT" ]

1

2020-09-16T10:21:02.000Z

print "Uhh Morty, uh yeah next thing on interdimensional tv is Aditya Iyer's Show"

82

0.792683

15

82

4.333333

1

0

0.158537

82

1

82

0.942029

0

0.891566

0

null

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

004990c134676856f8c2985107cb511627a018b0

2,027

py

Python

tests/unit_tests/test_import.py

ecoen66/imcsdk

b10eaa926a5ee57cea7182ae0adc8dd1c818b0ab

[ "Apache-2.0" ]

31

2016-06-14T07:23:59.000Z

2021-09-12T17:17:26.000Z

tests/unit_tests/test_import.py

sthagen/imcsdk

1831eaecb5960ca03a8624b1579521749762b932

[ "Apache-2.0" ]

109

2016-05-25T03:56:56.000Z

2021-10-18T02:58:12.000Z

tests/unit_tests/test_import.py

sthagen/imcsdk

1831eaecb5960ca03a8624b1579521749762b932

[ "Apache-2.0" ]

67

2016-05-17T05:53:56.000Z

2022-03-24T15:52:53.000Z

# Copyright 2015 Cisco Systems, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. def test_import_imcsdk(): import imcsdk def test_import_imcbasetype(): from imcsdk import imcbasetype def test_import_imcconstants(): from imcsdk import imcconstants def test_import_imccore(): from imcsdk import imccore def test_import_imccoremeta(): from imcsdk import imccoremeta def test_import_imccoreutils(): from imcsdk import imccoreutils def test_import_imcdriver(): from imcsdk import imcdriver def test_import_imceventhandler(): from imcsdk import imceventhandler def test_import_imcexception(): from imcsdk import imcexception def test_import_imcfilter(): from imcsdk import imcfilter def test_import_imcfiltertype(): from imcsdk import imcfiltertype def test_import_imcgenutils(): from imcsdk import imcgenutils def test_import_imchandle(): from imcsdk import imchandle def test_import_imceta(): from imcsdk import imcmeta def test_import_imcethod(): from imcsdk import imcmethod def test_import_imcethodfactory(): from imcsdk import imcmethodfactory def test_import_imco(): from imcsdk import imcmo def test_import_imcsession(): from imcsdk import imcsession def test_import_imcxmlcodec(): from imcsdk import imcxmlcodec def test_import_utils(): import imcsdk.utils def test_import_imcbackup(): from imcsdk.utils import imcbackup def test_import_imctechsupport(): from imcsdk.utils import imctechsupport

19.872549

74

0.771584

266

2,027

5.714286

0.353383

0.101316

0.188158

0.021053

0

0.004788

0.175629

2,027

101

75

20.069307

0.904847

0.272324

0

1

0.5

true

0

1

0

1.5

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cc46308c0801864cdb11e1eb1e38f2386e057724

107

py

Python

apps/stats/admin.py

karpiq24/django-klima-kar

e62e79c66053749e249f55e1ab47f810f449f0aa

[ "MIT" ]

2

2018-01-23T22:38:57.000Z

2019-07-14T08:59:19.000Z

apps/stats/admin.py

karpiq24/django-klima-kar

e62e79c66053749e249f55e1ab47f810f449f0aa

[ "MIT" ]

237

2018-08-15T23:13:52.000Z

2022-01-13T13:08:50.000Z

apps/stats/admin.py

karpiq24/django-klima-kar

e62e79c66053749e249f55e1ab47f810f449f0aa

[ "MIT" ]

null

from django.contrib import admin from apps.stats.models import ReceiptPTU admin.site.register(ReceiptPTU)

21.4

40

0.841121

15

107

6

0.733333

0

0.093458

107

4

41

26.75

0.927835

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

cc6b7644e712a7b12d2c19010a7aeab6b2ac6e97

59

py

Python

spandas/__init__.py

zhuzilin/simple-pandas

8233bd9e2e049a89ed85283458daa541230ce14f

[ "MIT" ]

9

2019-03-21T19:52:39.000Z

2020-02-07T09:14:57.000Z

spandas/__init__.py

zhuzilin/simple-pandas

8233bd9e2e049a89ed85283458daa541230ce14f

[ "MIT" ]

null

spandas/__init__.py

zhuzilin/simple-pandas

8233bd9e2e049a89ed85283458daa541230ce14f

[ "MIT" ]

null

from .series import Series from .dataframe import DataFrame

29.5

32

0.847458

8

59

6.25

0.5

0

0.118644

59

2

32

29.5

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cc790950a248ce93ecef545e0338c0d148a2e449

125

py

Python

HW3/mashavskih/3.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

null

HW3/mashavskih/3.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

null

HW3/mashavskih/3.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

6

2022-02-22T22:30:49.000Z

2022-03-28T12:51:19.000Z

a = input ('Put the number a: \n') b= input ('Put the number b: \n') a,b=b,a print(f'Resalt a: {a}') print(f'Resalt b: {b}')

20.833333

34

0.576

28

125

2.571429

0.357143

0.222222

0.305556

0.472222

0

0.176

125

5

35

25

0.699029

0

0.528

0

1

0

false

0

0.4

1

0

null

1

0

1

0

null

0

5

cc8e8a14bebb06470392a2067df135198354b930

39

py

Python

tests/__init__.py

TaylorMonacelli/mulltours

95e245f40775419c6baf432c0ca593b225e80073

[ "MIT" ]

null

tests/__init__.py

TaylorMonacelli/mulltours

95e245f40775419c6baf432c0ca593b225e80073

[ "MIT" ]

null

tests/__init__.py

TaylorMonacelli/mulltours

95e245f40775419c6baf432c0ca593b225e80073

[ "MIT" ]

null

"""Unit test package for mulltours."""

19.5

38

0.692308

5

39

5.4

1

0

0.128205

39

1

39

0.794118

0.820513

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

ccac4609aed9eaa3622abf3d71c2e15062fe6af9

40

py

Python

Main Server/Server/mqtt/config.py

Randikaviraj/e16-3yp-automatic-fish-tank-control-system

d8a3b2eb4a8f3b1fc3c7cacbbedf74eb2334d046

[ "MIT" ]

null

Main Server/Server/mqtt/config.py

Randikaviraj/e16-3yp-automatic-fish-tank-control-system

d8a3b2eb4a8f3b1fc3c7cacbbedf74eb2334d046

[ "MIT" ]

1

2020-11-07T12:07:05.000Z

Main Server/Server/mqtt/config.py

Randikaviraj/e16-3yp-automatic-fish-tank-control-system

d8a3b2eb4a8f3b1fc3c7cacbbedf74eb2334d046

[ "MIT" ]

6

2020-10-25T10:43:09.000Z

2020-11-14T07:27:41.000Z

BROKER="35.175.152.136" BROKER_PORT=1883

20

23

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8

40

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0.875

0

0.384615

0.025

40

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20

0.410256

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0.341463

0

1

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false

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1

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null

0

1

0

1

0

1

0

null

0

5

ccc9880548b7b124b4085b1e6b2433bd5614725b

296

py

Python

stable/QVTKWidget.py

tscholze/ts-py-planet-sim

c44c4cd7f393526942efda552a338204175dae11

[ "MIT" ]

null

stable/QVTKWidget.py

tscholze/ts-py-planet-sim

c44c4cd7f393526942efda552a338204175dae11

[ "MIT" ]

null

stable/QVTKWidget.py

tscholze/ts-py-planet-sim

c44c4cd7f393526942efda552a338204175dae11

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Wrapper class to compensate for vtk5.4 / designer incompability """ from vtk.qt4.QVTKRenderWindowInteractor import QVTKRenderWindowInteractor class QVTKWidget(QVTKRenderWindowInteractor): """ Simple Wrapper without own functionality. """ pass

24.666667

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296

7.851852

0.851852

0

0.016598

0.185811

296

11

74

26.909091

0.863071

0.432432

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

5

ccd151c0017774ef366d89510d4b138aa02fc2e4

76

py

Python

glouton/domain/waterfall/waterfall.py

DL4PD/glouton-satnogs-data-downloader

6f7823f49ab9508fd0221b5a16570886772e32e8

[ "MIT" ]

13

2018-01-29T06:08:15.000Z

2020-03-04T07:00:56.000Z

glouton/domain/waterfall/waterfall.py

DL4PD/glouton-satnogs-data-downloader

6f7823f49ab9508fd0221b5a16570886772e32e8

[ "MIT" ]

10

2018-12-21T11:37:21.000Z

2021-05-09T12:39:23.000Z

glouton/domain/waterfall/waterfall.py

DL4PD/glouton-satnogs-data-downloader

6f7823f49ab9508fd0221b5a16570886772e32e8

[ "MIT" ]

4

2019-01-25T13:40:13.000Z

2019-07-22T08:14:19.000Z

class Waterfall(): def __init__(self, url=None): self.url = url

19

33

0.605263

10

76

4.2

0.7

0.333333

0

0.263158

76

3

34

25.333333

0.75

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0.333333

false

0

0.666667

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1

0

1

0

null

0

1

0

1

0

5

aed160b842b1c550308d3778a473e5f6656e5b34

69

py

Python

0x02-python-import_modules/101-easy_print.py

oluwaseun-ebenezer/holbertonschool-higher_level_programming

e830f969d3ca71abf0a2f6d4f7c64a82337eccd7

[ "MIT" ]

null

0x02-python-import_modules/101-easy_print.py

oluwaseun-ebenezer/holbertonschool-higher_level_programming

e830f969d3ca71abf0a2f6d4f7c64a82337eccd7

[ "MIT" ]

null

0x02-python-import_modules/101-easy_print.py

oluwaseun-ebenezer/holbertonschool-higher_level_programming

e830f969d3ca71abf0a2f6d4f7c64a82337eccd7

[ "MIT" ]

null

#!/usr/bin/python3 __import__("sys").stdout.write("#pythoniscool\n")

23

49

0.724638

9

69

5.111111

1

0

0.014925

0.028986

69

2

50

34.5

0.671642

0.246377

0

0.352941

0

1

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true

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1

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

aee3ee8aa9e7fc128b38d4cd3117b04cd787914e

54

py

Python

tilapia/lib/provider/chains/__init__.py

huazhouwang/python_multichain_wallet

52e0acdc2984c08990cb36433ef17a414fbe8312

[ "MIT" ]

2

2021-09-23T13:47:08.000Z

2021-09-24T02:39:14.000Z

tilapia/lib/provider/chains/__init__.py

huazhouwang/tilapia

52e0acdc2984c08990cb36433ef17a414fbe8312

[ "MIT" ]

null

tilapia/lib/provider/chains/__init__.py

huazhouwang/tilapia

52e0acdc2984c08990cb36433ef17a414fbe8312

[ "MIT" ]

null

from tilapia.lib.provider.chains import bch, btc, eth

27

53

0.796296

9

54

4.777778

1

0

0.111111

54

1

54

0.895833

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

aeec5549f21742b4ef86f60fb4162b6470b640e7

112

py

Python

vader_workspace/project/package/main2.py

marekzidek/vim-nayvy

b3699f978e449aa669dd9bd4b13ae7c2d07d76c4

[ "MIT" ]

68

2020-03-17T07:36:42.000Z

2022-02-18T13:21:22.000Z

vader_workspace/project/package/main2.py

marekzidek/vim-nayvy

b3699f978e449aa669dd9bd4b13ae7c2d07d76c4

[ "MIT" ]

2

2020-03-17T06:52:44.000Z

2021-01-03T06:45:13.000Z

vader_workspace/project/package/main2.py

marekzidek/vim-nayvy

b3699f978e449aa669dd9bd4b13ae7c2d07d76c4

[ "MIT" ]

5

2020-03-17T07:42:23.000Z

2022-01-02T23:02:36.000Z

class Hoge: def hoge(self) -> None: pass @classmethod def fuga(cls) -> None: pass

12.444444

27

0.508929

13

112

4.384615

0.692308

0.280702

0

0.383929

112

8

28

14

0.826087

0

0.333333

0

1

0.333333

false

0.333333

0

0.5

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null

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1

0

null

0

1

0

1

0

5

aeeea8980d2e7fc21064778484d0e9a09d9386b0

124

py

Python

analysis/ip_base.py

FermiParadox/Tor_deanonymization

a6793e0f76a9c80eca7dcee9a1ef035de0d787dc

[ "CC0-1.0" ]

1

2022-03-30T03:45:16.000Z

analysis/ip_base.py

FermiParadox/Tor_deanonymization

a6793e0f76a9c80eca7dcee9a1ef035de0d787dc

[ "CC0-1.0" ]

null

analysis/ip_base.py

FermiParadox/Tor_deanonymization

a6793e0f76a9c80eca7dcee9a1ef035de0d787dc

[ "CC0-1.0" ]

null

from ipaddress import IPv4Address, IPv6Address from typing import Union IPv6_or_IPv4_obj = Union[IPv4Address, IPv6Address]

24.8

50

0.846774

16

124

6.375

0.6875

0.431373

0

0.054545

0.112903

124

4

51

31

0.872727

0

1

0

false

0

0.666667

0

0.666667

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null

1

0

1

0

null

0

1

0

1

0

5

4e04ba3aee394f29fb7a047eb66e4ae8a518272b

398

py

Python

mysite/whatsanalyzer/message_storage.py

weilunn97/WhatStat-Django

278364bb694ccbf7e2f21f77c1503c60dbd0bf98

[ "MIT" ]

null

mysite/whatsanalyzer/message_storage.py

weilunn97/WhatStat-Django

278364bb694ccbf7e2f21f77c1503c60dbd0bf98

[ "MIT" ]

9

2021-03-18T22:29:24.000Z

2021-09-22T18:22:16.000Z

mysite/whatsanalyzer/message_storage.py

weilunn97/WhatsAnalyzer--Django-

278364bb694ccbf7e2f21f77c1503c60dbd0bf98

[ "MIT" ]

null

class MessageStorage: messageList = [] @staticmethod def addMessage(m): MessageStorage.messageList.append(m) @staticmethod def countMessages(): return len(MessageStorage.messageList) @staticmethod def getMessageList(): return MessageStorage.messageList @staticmethod def clearMessageList(): MessageStorage.messageList.clear()

20.947368

46

0.680905

30

398

9.033333

0.466667

0.461255

0.409594

0.442804

0

0.238693

398

19

47

20.947368

0.894389

0

0.285714

0

1

0.285714

false

0

0.142857

0.571429

0

null

1

0

null

0

1

0

1

0

5

4e3575ef7d21ae8a1f15a3c56fcfa15adac4be05

5,564

py

Python

driver/Config.py

qgking/DASC_COVID19

3300516b1d0e9896e2fb2ffda8527e0e1a1fcf2c

[ "MIT" ]

4

2021-04-21T05:09:49.000Z

2022-01-17T13:02:45.000Z

driver/Config.py

qgking/DASC_COVID19

3300516b1d0e9896e2fb2ffda8527e0e1a1fcf2c

[ "MIT" ]

null

driver/Config.py

qgking/DASC_COVID19

3300516b1d0e9896e2fb2ffda8527e0e1a1fcf2c

[ "MIT" ]

1

2021-07-08T02:20:43.000Z

from configparser import ConfigParser import configparser import sys, os sys.path.append('..') class Configurable(object): def __init__(self, config_file, extra_args, isTrain=True): config = ConfigParser() config._interpolation = configparser.ExtendedInterpolation() config.read(config_file) if extra_args: extra_args = dict([(k[2:], v) for k, v in zip(extra_args[0::2], extra_args[1::2])]) for section in config.sections(): for k, v in config.items(section): if k in extra_args: v = type(v)(extra_args[k]) config.set(section, k, v) self._config = config if not os.path.isdir(self.save_dir): os.makedirs(self.save_dir) if isTrain: config.write(open(self.config_file, 'w')) print('Loaded config file sucessfully.') for section in config.sections(): for k, v in config.items(section): print(k, v) # ------------data config reader-------------------- @property def patch_x(self): return self._config.getint('Data', 'patch_x') @property def patch_y(self): return self._config.getint('Data', 'patch_y') @property def patch_z(self): return self._config.getint('Data', 'patch_z') @property def patch_each(self): return self._config.getint('Data', 'patch_each') @property def clip(self): return self._config.getfloat('Optimizer', 'clip') @property def split_pickle(self): return self._config.get('Data', 'split_pickle') @property def data_name(self): return self._config.get('Data', 'data_name') @property def data_root(self): return self._config.get('Data', 'data_root') @property def unsu_root(self): return self._config.get('Data', 'unsu_root') @property def covid_data_root(self): return self._config.get('Data', 'covid_data_root') @property def sc_model_path(self): return self._config.get('Data', 'sc_model_path') # ------------save path config reader-------------------- @property def save_dir(self): return self._config.get('Save', 'save_dir') @property def config_file(self): return self._config.get('Save', 'config_file') @property def save_model_path(self): return self._config.get('Save', 'save_model_path') @property def load_dir(self): return self._config.get('Save', 'load_dir') @property def tmp_dir(self): return self._config.get('Save', 'tmp_dir') @property def tensorboard_dir(self): return self._config.get('Save', 'tensorboard_dir') @property def load_model_path(self): return self._config.get('Save', 'load_model_path') @property def log_file(self): return self._config.get('Save', 'log_file') @property def submission_dir(self): return self._config.get('Save', 'submission_dir') @property def model(self): return self._config.get('Network', 'model') @property def backbone(self): return self._config.get('Network', 'backbone') @property def classes(self): return self._config.getint('Network', 'classes') @property def channel(self): return self._config.getint('Network', 'channel') @property def epochs(self): return self._config.getint('Run', 'N_epochs') @property def train_batch_size(self): return self._config.getint('Run', 'train_batch_size') @property def test_batch_size(self): return self._config.getint('Run', 'test_batch_size') @property def gpu(self): return self._config.getint('Run', 'gpu') @property def printfreq(self): return self._config.getint('Run', 'printfreq') @property def gpu_count(self): gpus = self._config.get('Run', 'gpu_count') gpus = gpus.split(',') return [int(x) for x in gpus] @property def run_num(self): return self._config.getint('Run', 'run_num') @property def workers(self): return self._config.getint('Run', 'workers') @property def update_every(self): return self._config.getint('Run', 'update_every') @property def bad_step(self): return self._config.getint('Run', 'bad_step') # ------------Optimizer path config reader-------------------- @property def learning_algorithm(self): return self._config.get('Optimizer', 'learning_algorithm') @property def learning_rate(self): return self._config.getfloat('Optimizer', 'learning_rate') @property def learning_rate_d(self): return self._config.getfloat('Optimizer', 'learning_rate_d') @property def max_patience(self): return self._config.getint('Optimizer', 'max_patience') @property def infer_epoch(self): return self._config.getint('Optimizer', 'infer_epoch') @property def min_lrate(self): return self._config.getfloat('Optimizer', 'min_lrate') @property def beta_1(self): return self._config.getfloat('Optimizer', 'beta_1') @property def beta_2(self): return self._config.getfloat('Optimizer', 'beta_2') @property def epsilon(self): return self._config.getfloat('Optimizer', 'epsilon') @property def decay(self): return self._config.getfloat('Optimizer', 'decay')

26.879227

95

0.61197

671

5,564

4.861401

0.163934

0.144083

0.184549

0.263642

0.496934

0.473329

0.296137

0.128142

0.031269

0

0.002141

0.244608

5,564

206

96

27.009709

0.773971

0.030014

0

0.301887

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0.128685

0

1

0.283019

false

0

0.018868

0.27044

0.584906

0.025157

0

null

0

1

0

null

0

1

0

1

0

5

9d64c94b7cb6b7651fe54f6f8cd6f1d7c47007d5

223

py

Python

Cinema/managecinema/admin.py

samir321-pixel/Cinema_Mall

e6c48b74f9049dc3495328b68945a59756719091

[ "Apache-2.0" ]

6

2021-02-26T12:29:54.000Z

2021-07-19T16:45:55.000Z

Cinema/managecinema/admin.py

samir321-pixel/Cinema_Mall

e6c48b74f9049dc3495328b68945a59756719091

[ "Apache-2.0" ]

2

2021-03-01T03:47:44.000Z

2021-03-01T07:35:31.000Z

Cinema/managecinema/admin.py

samir321-pixel/Cinema_Mall

e6c48b74f9049dc3495328b68945a59756719091

[ "Apache-2.0" ]

1

2021-04-16T16:19:48.000Z

from django.contrib import admin from .models import * # Register your models here. admin.site.register(Cinema) admin.site.register(CinemaDeck) admin.site.register(CinemaArrangeSlot) admin.site.register(MovieDurationSlot)

24.777778

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0.825112

28

223

6.571429

0.5

0.195652

0.369565

0

0.080717

223

8

39

27.875

0.897561

0.116592

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9da6574a76797390632e6ada99c2cdbb4cc50ad1

231

py

Python

spaceballs_search_engine/models.py

RedSkyHarbor/spaceballs-script-search-engine

e2c3e3e4404af0c2ce50caa52d7ed44b6a1ce9d4

[ "MIT" ]

null

spaceballs_search_engine/models.py

RedSkyHarbor/spaceballs-script-search-engine

e2c3e3e4404af0c2ce50caa52d7ed44b6a1ce9d4

[ "MIT" ]

6

2021-03-19T02:26:31.000Z

2021-09-22T18:56:11.000Z

spaceballs_search_engine/models.py

RedSkyHarbor/spaceballs-script-search-engine

e2c3e3e4404af0c2ce50caa52d7ed44b6a1ce9d4

[ "MIT" ]

null

from django.db import models class Quote(models.Model): character = models.CharField(max_length=64) line = models.CharField(max_length=1024) def __str__(self): return '{}--{}'.format(self.character, self.line)

28.875

57

0.69697

30

231

5.166667

0.666667

0.193548

0.232258

0.309677

0

0.031088

0.164502

231

8

57

28.875

0.772021

0

0.025862

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1

0.166667

false

0

0.166667

1

0

null

0

1

0

1

0

null

0

1

0

5

9de5a034c46ab42588665033af618e06903dc437

267

py

Python

python/graphscope/nx/tests/algorithms/forward/test_moral.py

LI-Mingyu/GraphScope-MY

942060983d3f7f8d3a3377467386e27aba285b33

[ "Apache-2.0" ]

1,521

2020-10-28T03:20:24.000Z

2022-03-31T12:42:51.000Z

python/graphscope/nx/tests/algorithms/forward/test_moral.py

LI-Mingyu/GraphScope-MY

942060983d3f7f8d3a3377467386e27aba285b33

[ "Apache-2.0" ]

850

2020-12-15T03:17:32.000Z

2022-03-31T11:40:13.000Z

python/graphscope/nx/tests/algorithms/forward/test_moral.py

LI-Mingyu/GraphScope-MY

942060983d3f7f8d3a3377467386e27aba285b33

[ "Apache-2.0" ]

180

2020-11-10T03:43:21.000Z

2022-03-28T11:13:31.000Z

import networkx.algorithms.tests.test_moral import pytest from graphscope.nx.utils.compat import import_as_graphscope_nx import_as_graphscope_nx(networkx.algorithms.tests.test_moral, decorators=pytest.mark.usefixtures("graphscope_session"))

33.375

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0.794007

33

267

6.151515

0.515152

0.17734

0.226601

0.26601

0.315271

0

0.134831

267

7

82

38.142857

0.878788

0

0.067416

0

1

0

true

0

0.8

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9de74a225ae7eba27511f7dcb664907f38f30f99

175

py

Python

python/models/stub/__init__.py

talidemestre/easytmm

91220e7989c1bd8ca6533dbeceb6d5a112047b1a

[ "CNRI-Python" ]

null

python/models/stub/__init__.py

talidemestre/easytmm

91220e7989c1bd8ca6533dbeceb6d5a112047b1a

[ "CNRI-Python" ]

null

python/models/stub/__init__.py

talidemestre/easytmm

91220e7989c1bd8ca6533dbeceb6d5a112047b1a

[ "CNRI-Python" ]

null

from argparse import Namespace from pathlib import Path def preprocess(args: Namespace, tempdir: Path): print("WARNING: This is a stub function! No work has been done!")

35

69

0.76

26

175

5.115385

0.846154

0

0.165714

175

5

69

35

0.910959

0

0.318182

0

1

0.25

false

0

0.5

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3b027e0d33601b5427d6614d666607ec10d34e3b

258

py

Python

eworkshop/services/admin.py

frankfern/eWorkshop-api

4c8a377e67e42c10ae1a762efca9af2c27a2a561

[ "MIT" ]

null

eworkshop/services/admin.py

frankfern/eWorkshop-api

4c8a377e67e42c10ae1a762efca9af2c27a2a561

[ "MIT" ]

null

eworkshop/services/admin.py

frankfern/eWorkshop-api

4c8a377e67e42c10ae1a762efca9af2c27a2a561

[ "MIT" ]

null

from django.contrib import admin from . import models admin.site.register(models.SellService) admin.site.register(models.FixService) admin.site.register(models.ServiceType) admin.site.register(models.ServiceProduct) admin.site.register(models.FixSparepart)

28.666667

42

0.841085

33

258

6.575758

0.393939

0.207373

0.391705

0.529954

0

0.054264

258

8

43

32.25

0.889344

0

1

0

true

0

0.285714

0

0.285714

0

null

1

0

1

0

null

0

1

0

5

d180be57df2a9361df1d2682e6079fcfa44587d4

78

py

Python

codewof/programming/content/en/nth-to-last/solution.py

uccser-admin/programming-practice-prototype

3af4c7d85308ac5bb35bb13be3ec18cac4eb8308

[ "MIT" ]

3

2019-08-29T04:11:22.000Z

2021-06-22T16:05:51.000Z

codewof/programming/content/en/nth-to-last/solution.py

uccser-admin/programming-practice-prototype

3af4c7d85308ac5bb35bb13be3ec18cac4eb8308

[ "MIT" ]

265

2019-05-30T03:51:46.000Z

2022-03-31T01:05:12.000Z

codewof/programming/content/en/nth-to-last/solution.py

samuelsandri/codewof

c9b8b378c06b15a0c42ae863b8f46581de04fdfc

[ "MIT" ]

7

2019-06-29T12:13:37.000Z

2021-09-06T06:49:14.000Z

def nth_to_last(items, n): index = len(items) - n return items[index]

19.5

26

0.641026

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78

3.692308

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1

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null

0

1

0

1

0

5

d192dd3682fd6e9e06d7b424303cbfa2efdad737

23

py

Python

gargbot_3000/version.py

eirki/gargbot_3000

e76d98e82c00133950f094eaaf9981c58d55bbd5

[ "MIT" ]

1

2016-11-22T10:00:18.000Z

gargbot_3000/version.py

eirki/gargbot_3000

e76d98e82c00133950f094eaaf9981c58d55bbd5

[ "MIT" ]

9

2021-06-08T19:04:54.000Z

2022-02-18T19:57:42.000Z

gargbot_3000/version.py

eirki/gargbot_3000

e76d98e82c00133950f094eaaf9981c58d55bbd5

[ "MIT" ]

2

2019-01-18T14:10:45.000Z

2020-06-15T21:48:56.000Z

version = "21.06.12.0"

11.5

22

0.608696

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23

2.8

1

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0.35

0.130435

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23

0.35

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1

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0

1

0

1

0

1

0

null

0

5

d1bb5b40df5ca6de600d7e4b9dab99029ec0e7a7

48

py

Python

cmsscan/config.py

AGLcaicai/onlinetools

39d90b39e97a843aee5a47cc8720169d4daa0a1a

[ "MIT" ]

3

2020-07-07T10:13:50.000Z

2021-08-31T12:21:56.000Z

cmsscan/config.py

AGLcaicai/onlinetools

39d90b39e97a843aee5a47cc8720169d4daa0a1a

[ "MIT" ]

1

2018-12-07T06:59:06.000Z

cmsscan/config.py

AGLcaicai/onlinetools

39d90b39e97a843aee5a47cc8720169d4daa0a1a

[ "MIT" ]

3

2019-01-17T02:48:00.000Z

2021-09-12T07:57:18.000Z

from . import app app.config.update(DEBUG=True)

16

29

0.770833

8

48

4.625

0.875

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0.104167

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2

30

24

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0.5

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null

0

1

0

1

0

5

d1d26e5b74a3435b283c0e7ec9fe3ca4d4c8faf4

45

py

Python

py_headless_daw/compiler/compiler_exception.py

hq9000/py-headless-daw

33e08727c25d3f00b2556adf5f25c9f7ff4d4304

[ "MIT" ]

22

2020-06-09T18:46:56.000Z

2021-09-28T02:11:42.000Z

py_headless_daw/compiler/compiler_exception.py

hq9000/py-headless-daw

33e08727c25d3f00b2556adf5f25c9f7ff4d4304

[ "MIT" ]

19

2020-06-03T06:34:57.000Z

2021-01-26T07:36:17.000Z

py_headless_daw/compiler/compiler_exception.py

hq9000/py-headless-daw

33e08727c25d3f00b2556adf5f25c9f7ff4d4304

[ "MIT" ]

1

2020-06-18T09:25:21.000Z

class CompilerException(Exception): pass

15

35

0.777778

4

45

8.75

1

0

0.155556

45

2

36

22.5

0.921053

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

0603d46dbafdeead78ee8a4e526da6c9311b6f9a

332

py

Python

knx_stack/definition/layer/__init__.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

2

2021-07-28T07:42:28.000Z

2022-01-25T18:56:05.000Z

knx_stack/definition/layer/__init__.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

6

2021-07-25T21:36:01.000Z

2022-02-20T21:11:31.000Z

knx_stack/definition/layer/__init__.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

null

from knx_stack.definition.layer.link import AddressType, ConfirmFlag, NSDU, L_Data from knx_stack.definition.layer.network import AddressTable from knx_stack.definition.layer.transport import AssociationTable, Association, ASAP from knx_stack.definition.layer.application import ( GroupObjectTable, PropertyServiceHeader, )

41.5

84

0.840361

39

332

7.025641

0.538462

0.10219

0.175182

0.321168

0.394161

0

0.096386

332

7

85

47.428571

0.913333

0

1

0

true

0

0.571429

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

ae11ac555c364d65df9dedd67ebb156bb7746646

185

py

Python

config/consts.py

victor-iyiola/flask-blog

3f1f06ffdfe900111c9636dd85117f42bd10d479

[ "MIT" ]

null

config/consts.py

victor-iyiola/flask-blog

3f1f06ffdfe900111c9636dd85117f42bd10d479

[ "MIT" ]

null

config/consts.py

victor-iyiola/flask-blog

3f1f06ffdfe900111c9636dd85117f42bd10d479

[ "MIT" ]

null

import os.path PROJECT_DIR = os.path.dirname(os.path.dirname(__file__)) TEMPLATE_FOLDER = os.path.join(PROJECT_DIR, 'templates') STATIC_FOLDER = os.path.join(PROJECT_DIR, 'static')

20.555556

56

0.767568

28

185

4.75

0.428571

0.225564

0.195489

0.240602

0.390977

0

0.091892

185

8

57

23.125

0.791667

0

0.081081

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

5

ae70e59a106c2d96440fd3fb36074114bb558c2b

1,589

py

Python

algorithms/704. Binary Search.py

woozway/py3-leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

1

2020-12-02T13:54:30.000Z

algorithms/704. Binary Search.py

woozway/py3-leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

algorithms/704. Binary Search.py

woozway/py3-leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

""" 1. Clarification 2. Possible solutions - Binary search I - Binary search II - Binary search III 3. Coding 4. Tests """ # T=O(lgn), S=O(1) class Solution: def search(self, nums: List[int], target: int) -> int: if not nums: return -1 left, right = 0, len(nums) - 1 while left <= right: pivot = left + (right - left) // 2 if nums[pivot] == target: return pivot elif target < nums[pivot]: right = pivot - 1 else: left = pivot + 1 return -1 # T=O(lgn), S=O(1) class Solution: def search(self, nums: List[int], target: int) -> int: if not nums: return -1 left, right = 0, len(nums) - 1 while left < right: mid = (left + right) // 2 if nums[mid] == target: return mid elif nums[mid] < target: left = mid + 1 else: right = mid if nums[left] == target: return left return -1 # T=O(lgn), S=O(1) class Solution: def search(self, nums: List[int], target: int) -> int: if not nums: return -1 left, right = 0, len(nums) - 1 while left + 1 < right: mid = (left + right) // 2 if nums[mid] == target: return mid elif nums[mid] < target: left = mid else: right = mid if nums[left] == target: return left if nums[right] == target: return right return -1

25.629032

58

0.46696

197

1,589

3.766497

0.192893

0.097035

0.070081

0.024259

0.710243

0.607817

0

0.028169

0.419132

1,589

61

59

26.04918

0.775731

0.11202

0

0.651163

0

1

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false

0

0.302326

0

null

0

1

0

null

0

5

ae7d7ecc6f1b629a3f7576d340aea7b81a8cd4bd

235

py

Python

app/models/domain/performance_metrics.py

PSE-TECO-2020-TEAM1/e2e-ml_model-management

7f01a008648e25a29c639a5e16124b2e399eb821

[ "MIT" ]

1

2021-05-04T08:46:19.000Z

app/models/domain/performance_metrics.py

PSE-TECO-2020-TEAM1/e2e-ml_model-management

7f01a008648e25a29c639a5e16124b2e399eb821

[ "MIT" ]

null

app/models/domain/performance_metrics.py

PSE-TECO-2020-TEAM1/e2e-ml_model-management

7f01a008648e25a29c639a5e16124b2e399eb821

[ "MIT" ]

1

2022-01-28T21:21:32.000Z

from typing import List from dataclasses import dataclass @dataclass(frozen=True) class SingleMetric(): name: str score: float @dataclass(frozen=True) class PerformanceMetrics(): label: str metrics: List[SingleMetric]

19.583333

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0.215909

0.272727

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235

12

34

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null

0

1

0

1

0

5

889dd13ad02cc205248648f77d5cc5af6e607b92

75

py

Python

ztest/utils/__init__.py

Kk0t/Flask-phone-administration

4acdcedabe7725c6ce2b57e32bd54551cdbb5297

[ "CC0-1.0" ]

null

ztest/utils/__init__.py

Kk0t/Flask-phone-administration

4acdcedabe7725c6ce2b57e32bd54551cdbb5297

[ "CC0-1.0" ]

null

ztest/utils/__init__.py

Kk0t/Flask-phone-administration

4acdcedabe7725c6ce2b57e32bd54551cdbb5297

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- # @Time : 2021/9/8 11:14 # @Author : WuBingTai

18.75

27

0.52

11

75

3.545455

0.909091

0

0.192982

0.24

75

3

28

25

0.491228

0.906667

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

88a889d50a17ea4e9b87ed5a278ba38ebf15c85a

2,728

py

Python

test/xl_transform/common_test/model_test/OrthorhombicLineTest.py

Spark-Liang/ExcelTransformer

8e827a7c0b0e2cf4832d7b4346e763f31e578343

[ "MIT" ]

2

2019-04-06T14:01:49.000Z

2019-12-26T13:12:09.000Z

test/xl_transform/common_test/model_test/OrthorhombicLineTest.py

Spark-Liang/ExcelTransformer

8e827a7c0b0e2cf4832d7b4346e763f31e578343

[ "MIT" ]

null

test/xl_transform/common_test/model_test/OrthorhombicLineTest.py

Spark-Liang/ExcelTransformer

8e827a7c0b0e2cf4832d7b4346e763f31e578343

[ "MIT" ]

null

import unittest from xl_transform.common import Cell from xl_transform.common import OrthorhombicLine as SUT class OrthorhombicLineTest(unittest.TestCase): def test_when_create_with_zero_cell(self): # when result = SUT(set()) # then self.assertEqual(None, result.is_vertical) self.assertEqual([], result.cells_list) def test_when_create_with_single_cell(self): # given single_cell = Cell(1, 1) # when result = SUT({single_cell}) # then self.assertEqual(None, result.is_vertical) self.assertEqual([single_cell], result.cells_list) def test_when_create_with_two_cell_in_horizontal_direction(self): # given cell1, cell2 = Cell(1, 1), Cell(1, 2) # when result = SUT({cell1, cell2}) # then self.assertEqual(False, result.is_vertical) self.assertEqual([cell1, cell2], result.cells_list) def test_when_create_with_three_cell_in_horizontal_direction(self): # given cell1, cell2, cell3 = Cell(1, 1), Cell(1, 2), Cell(1, 3) # when result = SUT({cell1, cell2, cell3}) # then self.assertEqual(False, result.is_vertical) self.assertEqual([cell1, cell2, cell3], result.cells_list) def test_when_create_with_two_cell_in_vertical_direction(self): # given cell1, cell2 = Cell(1, 1), Cell(2, 1) # when result = SUT({cell1, cell2}) # then self.assertEqual(True, result.is_vertical) self.assertEqual([cell1, cell2], result.cells_list) def test_when_create_with_three_cell_in_vertical_direction(self): # given cell1, cell2, cell3 = Cell(1, 1), Cell(2, 1), Cell(3, 1) # when result = SUT({cell1, cell2, cell3}) # then self.assertEqual(True, result.is_vertical) self.assertEqual([cell1, cell2, cell3], result.cells_list) def test_raise_exception_when_is_not_a_shape_of_orthorhombic_1(self): """ The shape of the cells is like the below graph. 1 2 3 4 1 # 2 # 3 4 :return: """ # given cell1, cell2 = Cell(1, 1), Cell(2, 2) # when def sut(): SUT({cell1, cell2}) self.assertRaises(Exception, sut) def test_raise_exception_when_is_not_a_shape_of_orthorhombic_2(self): """ The shape of the cells is like the below graph. 1 2 3 4 1 # 2 ### 3 4 :return: """ def sut(): SUT({Cell(1, 1), Cell(2, 1), Cell(2, 2)}) self.assertRaises(Exception, sut)

24.576577

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2,728

4.438953

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0.308651

2,728

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false

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0

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null

0

1

0

5

ee37b9522aa17ee169a1a9d0a4a1b7bb57ef9d1f

3,613

py

Python

ldaptor/test/test_attributeset.py

tv42/ldaptor

3f227602c8c021b9e943136a2dc8d7db44a11e50

[ "MIT" ]

1

2015-11-25T04:01:26.000Z

ldaptor/test/test_attributeset.py

tv42/ldaptor

3f227602c8c021b9e943136a2dc8d7db44a11e50

[ "MIT" ]

null

ldaptor/test/test_attributeset.py

tv42/ldaptor

3f227602c8c021b9e943136a2dc8d7db44a11e50

[ "MIT" ]

2

2019-11-06T02:14:10.000Z

2022-01-10T08:34:11.000Z

""" Test cases for ldaptor.attributeset """ from twisted.trial import unittest import sets from ldaptor import attributeset class TestComparison(unittest.TestCase): def testEquality_True_Set(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) self.assertEquals(a, b) def testEquality_True_Set_Ordering(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'd', 'c']) self.assertEquals(a, b) def testEquality_True_List(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = ['b', 'c', 'd'] self.assertEquals(a, b) def testEquality_True_List_Ordering(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = ['b', 'd', 'c'] self.assertEquals(a, b) def testEquality_False_Value(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'c', 'e']) self.assertNotEqual(a, b) def testEquality_False_Key(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('l', ['b', 'c', 'd']) self.assertNotEqual(a, b) class TestSetOperations(unittest.TestCase): def testDifference(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'c', 'e']) self.assertEquals(a - b, sets.Set(['d'])) def testUnion(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'c', 'e']) self.assertEquals(a | b, sets.Set(['b', 'c', 'd', 'e'])) def testIntersection(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'c', 'e']) self.assertEquals(a & b, sets.Set(['b', 'c'])) def testSymmetricDifference(self): a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd']) b = attributeset.LDAPAttributeSet('k', ['b', 'c', 'e']) self.assertEquals(a ^ b, sets.Set(['d', 'e'])) def testCopy(self): class Magic: pass m1 = Magic() a = attributeset.LDAPAttributeSet('k', ['b', 'c', 'd', m1]) b = a.__copy__() self.assertEquals(a, b) self.assertNotIdentical(a, b) magicFromA = [val for val in a if isinstance(val, Magic)][0] magicFromB = [val for val in b if isinstance(val, Magic)][0] self.assertEquals(magicFromA, magicFromB) self.assertIdentical(magicFromA, magicFromB) a.update('x') self.assertEquals(a, sets.Set(['b', 'c', 'd', m1, 'x'])) self.assertEquals(b, sets.Set(['b', 'c', 'd', m1])) def testDeepCopy(self): class Magic: def __eq__(self, other): return isinstance(other, self.__class__) def __hash__(self): return 42 m1 = Magic() a = attributeset.LDAPAttributeSet('k', ['a', m1]) b = a.__deepcopy__({}) self.assertEquals(a, b) self.assertNotIdentical(a, b) magicFromA = [val for val in a if isinstance(val, Magic)][0] magicFromB = [val for val in b if isinstance(val, Magic)][0] self.assertEquals(magicFromA, magicFromB) self.assertNotIdentical(magicFromA, magicFromB) a.update('x') self.assertEquals(a, sets.Set(['a', m1, 'x'])) self.assertEquals(b, sets.Set(['a', m1]))

36.494949

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0.569056

424

3,613

4.768868

0.146226

0.02275

0.272502

0.267062

0.753215

0.739862

0.71365

0.670623

0.664688

0.630069

0

0.005143

0.246609

3,613

98

69

36.867347

0.737693

0.009687

0

0.474359

0

0.029412

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0.282051

1

0.179487

false

0.012821

0.038462

0.025641

0.294872

0

null

0

1

0

1

0

1

0

null

0

5

ee644fd08dd27ecf14c0d1abe2172b0702e092d7

79

py

Python

setup.py

kalvelukas/pendiscbot

dd48e49570b914687e41f9a492958b7b56d9df08

[ "MIT" ]

null

setup.py

kalvelukas/pendiscbot

dd48e49570b914687e41f9a492958b7b56d9df08

[ "MIT" ]

4

2020-11-29T22:11:47.000Z

2020-12-03T00:26:33.000Z

setup.py

kalvelukas/rpgbot

dd48e49570b914687e41f9a492958b7b56d9df08

[ "MIT" ]

null

import sys sys.path.append('C:\\kalvelukas\\rpgbot\\code') print(str(sys.path))

26.333333

47

0.734177

13

79

4.461538

0.769231

0.241379

0

0.037975

79

3

48

26.333333

0.763158

0

0.35

0

1

0

true

0

0.333333

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ee7b664a6933f9e25dfe0823e8854ebec75a6291

14

py

Python

test/integration/SetToList/set to list.py

HighSchoolHacking/GLS-Draft

9e418b6290e7c8e3f2da87668784bdba1cde5a76

[ "MIT" ]

30

2019-10-29T12:47:50.000Z

2022-02-12T06:41:39.000Z

test/integration/SetToList/set to list.py

HighSchoolHacking/GLS-Draft

9e418b6290e7c8e3f2da87668784bdba1cde5a76

[ "MIT" ]

247

2017-09-21T17:11:18.000Z

2019-10-08T12:59:07.000Z

test/integration/SetToList/set to list.py

HighSchoolHacking/GLS-Draft

9e418b6290e7c8e3f2da87668784bdba1cde5a76

[ "MIT" ]

17

2017-10-01T16:53:20.000Z

2018-11-28T07:20:35.000Z

# list(abc) #

3.5

9

0.5

2

14

3.5

1

0

0.214286

14

3

10

4.666667

0.636364

0

1

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true

0

1

0

null

0

1

0

1

0

null

0

1

0

5

ee82245c3110b470c1641c428cb8dd30fb8fb0dd

120

py

Python

examples/str/ex2.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/str/ex2.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/str/ex2.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

# str(Color()) class Color: color = 'orange' def __str__(self): return Color.color print(str(Color()))

15

26

0.6

15

120

4.533333

0.533333

0.235294

0

0.241667

120

7

27

17.142857

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1

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