xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

7340e2ed735c34bf4441bf796759a517ee89ee90

5,377

py

Python

src/clustar/fit.py

clustar/Clustar

83e155feffc10c4bf172f8ec769fb3c5ffe1d579

[ "MIT" ]

4

2021-02-24T17:27:25.000Z

2021-06-28T04:45:32.000Z

src/clustar/fit.py

clustar/Clustar

83e155feffc10c4bf172f8ec769fb3c5ffe1d579

[ "MIT" ]

3

2021-04-05T14:53:26.000Z

2021-06-27T20:17:14.000Z

src/clustar/fit.py

clustar/Clustar

83e155feffc10c4bf172f8ec769fb3c5ffe1d579

[ "MIT" ]

1

2021-02-15T16:13:05.000Z

""" Clustar module for fitting-related methods. This module is designed for the 'ClustarData' object. All listed methods take an input parameter of a 'ClustarData' object and return a 'ClustarData' object after processing the method. As a result, all changes are localized within the 'ClustarData' object. Visit <https...

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73411a436e5f2edebb124c6122419fcdeef298b3

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py

Python

tests/wizard/namedwizardtests/urls.py

felixxm/django-formtools

ba62c6fa14edbd4197bda8ed0d23eb006ebebeba

[ "BSD-3-Clause" ]

null

tests/wizard/namedwizardtests/urls.py

felixxm/django-formtools

ba62c6fa14edbd4197bda8ed0d23eb006ebebeba

[ "BSD-3-Clause" ]

null

tests/wizard/namedwizardtests/urls.py

felixxm/django-formtools

ba62c6fa14edbd4197bda8ed0d23eb006ebebeba

[ "BSD-3-Clause" ]

1

2019-11-04T22:52:19.000Z

from django.conf.urls import url from .forms import ( CookieContactWizard, Page1, Page2, Page3, Page4, SessionContactWizard, ) def get_named_session_wizard(): return SessionContactWizard.as_view( [('form1', Page1), ('form2', Page2), ('form3', Page3), ('form4', Page4)], url_name='nwiz_session'...

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73418fc41479ed48faa479be47ae0461c5d41885

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py

Python

setup.py

ajayp10/derive_event_pm4py

d1fd16c65081348b617dc0697b372a294c91023a

[ "MIT" ]

null

setup.py

ajayp10/derive_event_pm4py

d1fd16c65081348b617dc0697b372a294c91023a

[ "MIT" ]

null

setup.py

ajayp10/derive_event_pm4py

d1fd16c65081348b617dc0697b372a294c91023a

[ "MIT" ]

null

import pathlib from setuptools import setup CURRENT_PATH = pathlib.Path(__file__).parent README = (CURRENT_PATH/"README.md").read_text() setup( name="derive_event_pm4py", version="1.0.1", description="It derives new events based on rules provided as inputs.", long_description=README, long_descrip...

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73441d4a3b24e3d3313825da48a3c91f2e8b65de

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py

Python

setup.py

meisanggou/ldapuser

45a9e5eba8bbf173ce2ec87f9a32cff8db549e7c

[ "MIT" ]

null

setup.py

meisanggou/ldapuser

45a9e5eba8bbf173ce2ec87f9a32cff8db549e7c

[ "MIT" ]

null

setup.py

meisanggou/ldapuser

45a9e5eba8bbf173ce2ec87f9a32cff8db549e7c

[ "MIT" ]

null

#! /usr/bin/env python # coding: utf-8 # __author__ = 'meisanggou' try: from setuptools import setup except ImportError: from distutils.core import setup import sys if sys.version_info <= (2, 7): sys.stderr.write("ERROR: ldap-user requires Python Version 2.7 or above.\n") sys.stderr.write("Your Pyt...

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null

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7347c43851f55966f151bfafefba0299301f676e

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py

Python

manage.py

jessekl/twiliochallenge

2bba8bc2e0928880f1e2abe6b53b96dbc67ef34f

[ "MIT" ]

null

manage.py

jessekl/twiliochallenge

2bba8bc2e0928880f1e2abe6b53b96dbc67ef34f

[ "MIT" ]

null

manage.py

jessekl/twiliochallenge

2bba8bc2e0928880f1e2abe6b53b96dbc67ef34f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ manage ~~~~~~ Flask-Script Manager """ import os from flask.ext.script import Manager from flask.ext.migrate import MigrateCommand from fbone import create_app from fbone.extensions import db from fbone.utils import PROJECT_PATH, MALE from fbone.modules.user import User, ADMI...

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7347cda8008de4de3e2356287a34d7f4b9da7478

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py

Python

llvmsqlite_util/benchmarking/micro/aggregate.py

KowalskiThomas/LLVMSQLite

a36b85dfadf44b0a4008d9f01ebd79d5ca2cace4

[ "blessing" ]

null

llvmsqlite_util/benchmarking/micro/aggregate.py

KowalskiThomas/LLVMSQLite

a36b85dfadf44b0a4008d9f01ebd79d5ca2cace4

[ "blessing" ]

null

llvmsqlite_util/benchmarking/micro/aggregate.py

KowalskiThomas/LLVMSQLite

a36b85dfadf44b0a4008d9f01ebd79d5ca2cace4

[ "blessing" ]

null

import os sql_files = [x for x in os.listdir(".") if x.endswith("sql")] sql_files = list(sorted(sql_files, key = lambda x : int(x.split('.')[0]))) result = "" for i, f in enumerate(sql_files): i = i + 1 i = f.replace(".sql", "") with open(f) as sql: result += f"--- Query {i}\n" result += s...

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null

0

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0

73486adc08d97e3620d3c9533949d0a3a23b6c00

2,882

py

Python

demos/crane/main.py

Starli8ht/KivyMD

5a3425d4e39e8615a0ba8b879db1eb5d7bfb3b49

[ "MIT" ]

null

demos/crane/main.py

Starli8ht/KivyMD

5a3425d4e39e8615a0ba8b879db1eb5d7bfb3b49

[ "MIT" ]

null

demos/crane/main.py

Starli8ht/KivyMD

5a3425d4e39e8615a0ba8b879db1eb5d7bfb3b49

[ "MIT" ]

null

""" MDCrane demo ============= .. seealso:: `Material Design spec, Crane <https://material.io/design/material-studies/crane.html#>` Crane is a travel app that helps users find and book travel, lodging, and restaurant options that match their input preferences. """ import os import sys from pathlib i...

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0

7349101381b3dbb9e23adbac5458b1fa8f012f0b

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py

Python

tasks/lgutil/graph_net.py

HimmelStein/lg-flask

562adfe16c3dd718faf694b8233586422d035e17

[ "MIT" ]

null

tasks/lgutil/graph_net.py

HimmelStein/lg-flask

562adfe16c3dd718faf694b8233586422d035e17

[ "MIT" ]

null

tasks/lgutil/graph_net.py

HimmelStein/lg-flask

562adfe16c3dd718faf694b8233586422d035e17

[ "MIT" ]

null

# -*- coding: utf-8 -*- from nltk.parse import DependencyGraph from collections import defaultdict import random import sys import copy from json import dumps from pprint import pprint try: from .lg_graph import LgGraph except: sys.path.append("/Users/tdong/git/lg-flask/tasks/lgutil") from .lg_graph import...

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1

0

7349161371152ef9656dab45ddf6d709b3bf142a

5,517

py

Python

utils/transformations/char_level/char_dces_substitute.py

Yzx835/AISafety

eb09551814898c7f6d86641b47faf7845c948640

[ "MIT" ]

null

utils/transformations/char_level/char_dces_substitute.py

Yzx835/AISafety

eb09551814898c7f6d86641b47faf7845c948640

[ "MIT" ]

null

utils/transformations/char_level/char_dces_substitute.py

Yzx835/AISafety

eb09551814898c7f6d86641b47faf7845c948640

[ "MIT" ]

null

# !/usr/bin/env python # coding=UTF-8 """ @Author: WEN Hao @LastEditors: WEN Hao @Description: @Date: 2021-09-24 @LastEditTime: 2022-04-17 源自OpenAttack的DCESSubstitute """ import random from typing import NoReturn, List, Any, Optional import numpy as np from utils.transformations.base import CharSubstitute from uti...

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null

0

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734bd8fdc6b5e208d672c4c4eac90f446f5043c6

6,220

py

Python

src/dctm/datasets.py

spotify-research/dctm

e813aca23c3f54bc55ace5b3342aaec5cc7dad60

[ "Apache-2.0" ]

11

2020-08-11T10:18:48.000Z

2021-12-23T15:34:46.000Z

src/dctm/datasets.py

spotify-research/dctm

e813aca23c3f54bc55ace5b3342aaec5cc7dad60

[ "Apache-2.0" ]

null

src/dctm/datasets.py

spotify-research/dctm

e813aca23c3f54bc55ace5b3342aaec5cc7dad60

[ "Apache-2.0" ]

2

2020-09-02T23:02:11.000Z

2020-11-17T05:16:29.000Z

# # Copyright 2020 Spotify AB # 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, s...

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null

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734e2605b9fe6651d724a46a3b07b21d5d438537

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py

Python

torchreid/optim/sam.py

opencv/deep-person-reid

ccc305614e968d4b64cc7d4b6664eb42267e6250

[ "MIT" ]

1

2020-07-07T19:22:17.000Z

torchreid/optim/sam.py

opencv/deep-person-reid

ccc305614e968d4b64cc7d4b6664eb42267e6250

[ "MIT" ]

1

2020-06-04T15:22:09.000Z

torchreid/optim/sam.py

opencv/deep-person-reid

ccc305614e968d4b64cc7d4b6664eb42267e6250

[ "MIT" ]

4

2020-07-02T09:23:11.000Z

2020-08-21T08:24:13.000Z

# Copyright 2020 Google Research # SPDX-License-Identifier: Apache-2.0 # # Copyright (C) 2020-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # ''' Imported from: https://github.com/google-research/sam ''' import torch class SAM(torch.optim.Optimizer): def __init__(self, params, base_optimizer, rho...

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735158944908fbafce88d97668526717a22003eb

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py

Python

src/konfiger_stream.py

konfiger/konfiger-python

294fb2fed8a46f7e242825fc0b723b0ff7132c8c

[ "MIT" ]

4

2019-09-25T02:18:43.000Z

2020-01-21T19:16:05.000Z

src/konfiger_stream.py

keyvaluedb/key-value-db-python

294fb2fed8a46f7e242825fc0b723b0ff7132c8c

[ "MIT" ]

null

src/konfiger_stream.py

keyvaluedb/key-value-db-python

294fb2fed8a46f7e242825fc0b723b0ff7132c8c

[ "MIT" ]

null

""" The MIT License Copyright 2020 Adewale Azeez <azeezadewale98@gmail.com>. """ import os.path from .konfiger_util import type_of, is_string, is_char, is_bool, escape_string, un_escape_string def file_stream(file_path, delimiter = '=', separator = '\n', err_tolerance = False): return KonfigerStream(file...

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null

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735211327e137e292f3ce5c7750409c77a35d0dd

2,674

py

Python

matematik.py

Drummersbrother/math_for_school

5eaa22320298d59b770e68b9640b34a525875132

[ "MIT" ]

null

matematik.py

Drummersbrother/math_for_school

5eaa22320298d59b770e68b9640b34a525875132

[ "MIT" ]

null

matematik.py

Drummersbrother/math_for_school

5eaa22320298d59b770e68b9640b34a525875132

[ "MIT" ]

null

import math import numpy as np import collections import scipy.stats as sst import matplotlib.pyplot as plt def plot(*args, **kwargs): plt.plot(*args, **kwargs) plt.show() def linregshow(x, y, col: str="r"): linregresult = sst.linregress(list(zip(x, y))) plot(x, y, col, x, [(val * linregresult.slope) ...

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7352cdca72cd11a42b689b908ad454fb587ad295

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py

Python

docly/ioutils/__init__.py

autosoft-dev/docly

0bd6216b8a9735e9fa76bffd4ffea6cec6cc4a01

[ "MIT" ]

29

2020-12-31T08:27:32.000Z

2022-02-15T08:48:51.000Z

docly/ioutils/__init__.py

autosoft-dev/docly

0bd6216b8a9735e9fa76bffd4ffea6cec6cc4a01

[ "MIT" ]

4

2020-12-30T18:18:54.000Z

2021-08-03T14:42:35.000Z

docly/ioutils/__init__.py

autosoft-dev/docly

0bd6216b8a9735e9fa76bffd4ffea6cec6cc4a01

[ "MIT" ]

2

2022-01-04T17:58:22.000Z

2022-02-05T13:04:14.000Z

import os from pathlib import Path import requests import shutil import sys from distutils.version import LooseVersion import time from tqdm import tqdm from docly.parser import parser as py_parser from docly.tokenizers import tokenize_code_string from docly import __version__ # from c2nl.objects import Code UPDATE_...

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735414eb5a0cf25ba65326dd7cc3a0b2acaea272

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py

Python

scripts/preprocess_for_prediction.py

jmueller95/deepgrind

1fdca224a5256b820fa817a529e79b70c8808d65

[ "Apache-2.0" ]

null

scripts/preprocess_for_prediction.py

jmueller95/deepgrind

1fdca224a5256b820fa817a529e79b70c8808d65

[ "Apache-2.0" ]

null

scripts/preprocess_for_prediction.py

jmueller95/deepgrind

1fdca224a5256b820fa817a529e79b70c8808d65

[ "Apache-2.0" ]

null

import pandas as pd import utils def check_msms_model_name(converter): def wrapper(*args, **kwargs): if kwargs['style'] not in ["pdeep", "prosit"]: raise Exception("MSMS model must be 'pdeep' or 'prosit'") converter(*args, **kwargs) return wrapper @check_msms_model_name...

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7354ded194b9ee5cde59d94c66a6556bf76f8b32

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py

Python

GettingStarted/gettingstarted.py

rohitp934/roadtoadatascientist

50724b63c2692659cdd48e9ed20e856c231695fd

[ "MIT" ]

null

GettingStarted/gettingstarted.py

rohitp934/roadtoadatascientist

50724b63c2692659cdd48e9ed20e856c231695fd

[ "MIT" ]

null

GettingStarted/gettingstarted.py

rohitp934/roadtoadatascientist

50724b63c2692659cdd48e9ed20e856c231695fd

[ "MIT" ]

null

#importing necessary modules from sklearn.linear_model import Perceptron from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import accuracy_score import numpy as np # Data and labels Xtrain = [[182, 80, 34], [176, 70, 33], [161, 60, 28], [154, 55, 27], [166, 63, 30], [189, 90, 36], [175, 63, 28], ...

38.384615

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0

null

0

null

0

1

0

7356af2b787834d2216080e3079e961a0d62871f

909

py

Python

libs/optimizers.py

bxtkezhan/AILabs

6328aa65a3ce5f450389a5a848b641ba36f0e9c5

[ "MIT" ]

null

libs/optimizers.py

bxtkezhan/AILabs

6328aa65a3ce5f450389a5a848b641ba36f0e9c5

[ "MIT" ]

null

libs/optimizers.py

bxtkezhan/AILabs

6328aa65a3ce5f450389a5a848b641ba36f0e9c5

[ "MIT" ]

null

import numpy as np class SGD: def __init__(self, lr=0.01, momentum=0.0, decay=0.0, nesterov=False, maximum=None, minimum=None): self.lr = lr self.momentum = momentum self.decay = decay self.nesterov = nesterov self.idx = None self.maximum = maximum ...

31.344828

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4.282051

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0.107784

0.07984

0.051896

0

0.014682

0.325633

909

28

73

32.464286

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0

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0.041667

0

0.208333

0

null

0

null

0

1

0

735716881d6460c9c4e13489b7256920b070c665

122,809

py

Python

pennylane/transforms/qcut.py

therooler/pennylane

88a8a5960a2ffd218a12f85ace632021eef2abf5

[ "Apache-2.0" ]

null

pennylane/transforms/qcut.py

therooler/pennylane

88a8a5960a2ffd218a12f85ace632021eef2abf5

[ "Apache-2.0" ]

null

pennylane/transforms/qcut.py

therooler/pennylane

88a8a5960a2ffd218a12f85ace632021eef2abf5

[ "Apache-2.0" ]

null

# Copyright 2022 Xanadu Quantum Technologies 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 a...

38.741009

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0.629905

16,711

122,809

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0.076058

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0.407345

0.371504

0.34925

0

0.01481

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122,809

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118

38.753234

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0

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0.000316

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0.045905

false

0.0009

0.027903

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0.125113

0.0009

0

null

0

null

0

1

0

735938898c03a603b4b3dd0bb3da69ebc37d8938

10,903

py

Python

fish_dashboard/scrapyd/scrapyd_service.py

SylvanasSun/FishFishJump

696212d242d8d572f3f1b43925f3d8ab8acc6a2d

[ "MIT" ]

60

2018-03-09T07:06:10.000Z

2021-11-18T15:53:04.000Z

fish_dashboard/scrapyd/scrapyd_service.py

qiubaiying/FishFishJump

696212d242d8d572f3f1b43925f3d8ab8acc6a2d

[ "MIT" ]

1

2018-04-03T11:05:54.000Z

2018-04-03T20:06:41.000Z

fish_dashboard/scrapyd/scrapyd_service.py

qiubaiying/FishFishJump

696212d242d8d572f3f1b43925f3d8ab8acc6a2d

[ "MIT" ]

8

2018-03-12T03:07:00.000Z

2021-06-11T05:16:11.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from fish_core.utils.common_utils import format_dict_to_str, get_current_date, list_to_str, str_to_list from fish_dashboard.scrapyd.model import ScrapydStatusVO, JobListDO, JobStatus, JobPriority, ProjectListVO, SpiderListVO from fish_dashboard.scrapyd.scrapyd_db import Sql...

46.199153

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0.604879

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10,903

4.986224

0.123177

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0.035105

0.027304

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0.335446

0.317244

0.251747

0.218593

0

0.003852

0.309456

10,903

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0.005556

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0.194444

0

null

0

null

0

1

0

7359bba7e09630706e6e5d4a81fb814a396993e5

1,750

py

Python

apps/shared/storage.py

bensternthal/affiliates

e234b0ab925b33d71cb5ded3d51dccbcbb0e59c1

[ "BSD-3-Clause" ]

null

apps/shared/storage.py

bensternthal/affiliates

e234b0ab925b33d71cb5ded3d51dccbcbb0e59c1

[ "BSD-3-Clause" ]

null

apps/shared/storage.py

bensternthal/affiliates

e234b0ab925b33d71cb5ded3d51dccbcbb0e59c1

[ "BSD-3-Clause" ]

null

import os from tempfile import mkstemp from django.conf import settings from django.core.files import locks from django.core.files.move import file_move_safe from django.core.files.storage import FileSystemStorage from django.utils.text import get_valid_filename class OverwritingStorage(FileSystemStorage): """ ...

32.407407

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0.652571

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1,750

4.995496

0.418919

0.054103

0.050496

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0.093778

0

0.003125

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1,750

53

80

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0.363636

0

null

0

null

0

1

0

735a0631d562698eec79867185c8831049a8bf3f

3,783

py

Python

bin/dupeFinder.py

kebman/dupe-finder-py

3ac23da711577466043b5032a4022516f4ccef95

[ "BSD-3-Clause" ]

1

2018-02-17T09:00:48.000Z

bin/dupeFinder.py

kebman/dupe-finder-py

3ac23da711577466043b5032a4022516f4ccef95

[ "BSD-3-Clause" ]

null

bin/dupeFinder.py

kebman/dupe-finder-py

3ac23da711577466043b5032a4022516f4ccef95

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python2 import os import hashlib import datetime import sqlite3 from sqlite3 import Error def sha256(fname): """Return sha256 hash from input file (fname). :param fname: :return: Sha256 hash digest in hexadecimal""" hash_sha256 = hashlib.sha256() with open(fname, "rb") as f: for chunk in iter(lam...

29.787402

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3,783

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0.012355

0.03861

0.158687

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0.079923

0

0.014143

0.177637

3,783

126

112

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0

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0

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0

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0.013699

0

null

0

null

0

1

0

735afc924941206a74f98559fb49787e7b5af8e7

309

py

Python

Python/factorialIterative.py

Ricardoengithub/Factorial

0c45201bbe1ad94bf0d090381eb662cf2a281fda

[ "MIT" ]

null

Python/factorialIterative.py

Ricardoengithub/Factorial

0c45201bbe1ad94bf0d090381eb662cf2a281fda

[ "MIT" ]

null

Python/factorialIterative.py

Ricardoengithub/Factorial

0c45201bbe1ad94bf0d090381eb662cf2a281fda

[ "MIT" ]

null

def factorial(n): fact = 1 for i in range(2,n+1): fact*= i return fact def main(): n = int(input("Enter a number: ")) if n >= 0: print(f"Factorial: {factorial(n)}") else: print(f"Choose another number") if __name__ == "__main__": main()

15.45

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309

3.5

0.595238

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0

0.019901

0.349515

309

19

44

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0.711443

0

0.226537

0

1

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false

0

0.230769

0.153846

0

null

0

null

0

1

0

735c291e6927c7998102106ab071603c6808076b

5,919

py

Python

code_old/sort.py

benwoo1110/A-List-of-Sorts-v2

2d404bda6c6ddc689e705cad6966f2a656ddac2f

[ "MIT" ]

6

2020-06-29T01:57:44.000Z

2022-01-14T09:00:03.000Z

code_old/sort.py

benwoo1110/A-List-of-Sorts-v2

2d404bda6c6ddc689e705cad6966f2a656ddac2f

[ "MIT" ]

null

code_old/sort.py

benwoo1110/A-List-of-Sorts-v2

2d404bda6c6ddc689e705cad6966f2a656ddac2f

[ "MIT" ]

1

2021-03-26T04:30:37.000Z

###################################### # Import and initialize the librarys # ##################################### from code.pygame_objects import * from code.algorithm.bubblesort import bubblesort from code.algorithm.insertionsort import insertionsort from code.algorithm.bogosort import bogosort from code.algorithm.m...

31.994595

112

0.487751

597

5,919

4.730318

0.274707

0.053116

0.048159

0.009915

0.393768

0.319405

0.266289

0.247167

0.219547

0.121813

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0.050481

0.367461

5,919

185

113

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1

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0

0.070968

0

null

0

null

0

1

0

735e36175591a886d021d1f42c7e0f23a0bc609d

489

py

Python

catkin_ws/src/tutorials/scripts/number_sub.py

vipulkumbhar/AuE893Spring19_VipulKumbhar

f741d5299b2804fd541b2bba64b8a4fba8521f33

[ "MIT" ]

3

2020-12-04T22:00:12.000Z

2022-02-09T15:53:14.000Z

catkin_ws/src/tutorials/scripts/number_sub.py

vipulkumbhar/AuE893Spring19_VipulKumbhar

f741d5299b2804fd541b2bba64b8a4fba8521f33

[ "MIT" ]

1

2020-04-15T19:58:30.000Z

catkin_ws/src/tutorials/scripts/number_sub.py

vipulkumbhar/AuE893Spring19_VipulKumbhar

f741d5299b2804fd541b2bba64b8a4fba8521f33

[ "MIT" ]

1

2020-05-21T21:59:21.000Z

#!/usr/bin/env python import rospy from std_msgs.msg import Int64 counter = 0 pub = None def callback_number(msg): global counter counter += msg.data new_msg = Int64() new_msg.data = counter pub.publish(new_msg) rospy.loginfo(counter) if __name__ == '__main__': rospy.init_node('...

18.807692

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489

4.738462

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0.058442

0

0.028721

0.216769

489

25

67

19.56

0.775457

0.0409

0

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0

1

0.0625

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0

0.125

0

0.1875

0

null

0

null

0

1

0

735e8db4e1d5d21ba03d9d6374f1111bc5cde6f4

806

py

Python

setup.py

eddo888/perdy

616473e9bde3ad58dc1ebf054fb78a7cc48c3adf

[ "MIT" ]

null

setup.py

eddo888/perdy

616473e9bde3ad58dc1ebf054fb78a7cc48c3adf

[ "MIT" ]

null

setup.py

eddo888/perdy

616473e9bde3ad58dc1ebf054fb78a7cc48c3adf

[ "MIT" ]

null

#!/usr/bin/env python import codecs from os import path from setuptools import setup pwd = path.abspath(path.dirname(__file__)) with codecs.open(path.join(pwd, 'README.md'), 'r', encoding='utf8') as input: long_description = input.read() version='1.7' setup( name='Perdy', version=version, license='MIT', ...

19.190476

77

0.682382

105

806

5.114286

0.666667

0.111732

0.070764

0.111732

0.108007

0

0.017266

0.137717

806

41

78

19.658537

0.755396

0.024814

0

0.085714

0

0.3125

0

1

0

false

0

0.085714

0

0.085714

0

null

0

null

0

1

0

736056399bf64b21d6f7dca419596b81048da99f

2,658

py

Python

utils/slack_send.py

IntelliGrape/pennypincher

d0d503eb8a480bf28f308ff52834170cca5a53d7

[ "MIT" ]

null

utils/slack_send.py

IntelliGrape/pennypincher

d0d503eb8a480bf28f308ff52834170cca5a53d7

[ "MIT" ]

null

utils/slack_send.py

IntelliGrape/pennypincher

d0d503eb8a480bf28f308ff52834170cca5a53d7

[ "MIT" ]

null

from tabulate import tabulate from slack.errors import SlackApiError import sys import logging import slack class Slackalert: """To send cost report on slack.""" def __init__(self, channel=None, slack_token=None): self.channel = channel self.slack_token = slack_token logging.basicConfi...

45.050847

122

0.598947

304

2,658

5.065789

0.375

0.085714

0.051948

0.046753

0.109091

0.031169

0

0.003175

0.288939

2,658

58

123

45.827586

0.81164

0.086907

0

0.045455

0

0.152946

0.037695

0

0.045455

1

0.068182

false

0

0.113636

0

0.227273

0.022727

0

null

0

null

0

1

0

7361d838090b7ba746e73857fad1d1b69e7ce317

852

py

Python

anno_gen/modify_filesprocessed.py

KevinQian97/diva_toolbox

de83de7f7602665c92dca943ab2a0b4c1b2fdfde

[ "Apache-2.0" ]

null

anno_gen/modify_filesprocessed.py

KevinQian97/diva_toolbox

de83de7f7602665c92dca943ab2a0b4c1b2fdfde

[ "Apache-2.0" ]

null

anno_gen/modify_filesprocessed.py

KevinQian97/diva_toolbox

de83de7f7602665c92dca943ab2a0b4c1b2fdfde

[ "Apache-2.0" ]

1

2021-09-29T04:10:10.000Z

import json import os def get_file_index(filesProcessed): new_dict = {} for f in filesProcessed: new_dict[f]={"framerate": 30.0, "selected": {"0": 1, "9000": 0}} return new_dict ref = json.load(open("/home/lijun/downloads/kf1_meta/references/kf1_all.json","r")) files = ref["filesProcessed"] print...

32.769231

107

0.738263

137

852

4.386861

0.408759

0.039933

0.064892

0.104825

0.489185

0.409318

0.312812

0

0.022251

0.103286

852

25

108

34.08

0.764398

0

0.105263

0

0.400235

0.336854

0

1

0.052632

false

0

0.105263

0

0.210526

0.052632

0

null

0

null

0

1

0

73622863ce396d64c3c5ebe2afec91bcbe2b4043

2,561

py

Python

monotone_bipartition/search.py

mvcisback/monotone-bipartition

c92262fac14258ed25619681ebcb0f8734044d22

[ "MIT" ]

1

2017-05-17T22:47:33.000Z

monotone_bipartition/search.py

mvcisback/multidim-threshold

c92262fac14258ed25619681ebcb0f8734044d22

[ "MIT" ]

10

2019-04-01T17:05:14.000Z

2020-05-01T17:23:18.000Z

monotone_bipartition/search.py

mvcisback/monotone-bipartition

c92262fac14258ed25619681ebcb0f8734044d22

[ "MIT" ]

4

2017-02-03T01:30:03.000Z

2018-04-25T22:28:23.000Z

from enum import Enum, auto import funcy as fn import numpy as np from monotone_bipartition import rectangles as mdtr from monotone_bipartition import refine EPS = 1e-4 class SearchResultType(Enum): TRIVIALLY_FALSE = auto() TRIVIALLY_TRUE = auto() NON_TRIVIAL = auto() def diagonal_convex_comb(r): ...

28.775281

77

0.636861

363

2,561

4.369146

0.330579

0.069357

0.098361

0.088272

0.163934

0

0.007407

0.262007

2,561

88

78

29.102273

0.831746

0.114018

0

0.064516

0

0.016129

1

0.064516

false

0

0.080645

0

0.322581

0

null

0

null

0

1

0

7363b08e9959a774b4c96272382532b62b203a94

2,069

py

Python

tests/test_heart_forest.py

RainingComputers/pykitml

1c3e50cebcdb6c4da63979ef9a812b44d23a4857

[ "MIT" ]

34

2020-03-06T07:53:43.000Z

2022-03-13T06:12:29.000Z

tests/test_heart_forest.py

RainingComputers/pykitml

1c3e50cebcdb6c4da63979ef9a812b44d23a4857

[ "MIT" ]

6

2021-06-08T22:43:23.000Z

2022-03-08T13:57:33.000Z

tests/test_heart_forest.py

RainingComputers/pykitml

1c3e50cebcdb6c4da63979ef9a812b44d23a4857

[ "MIT" ]

1

2020-11-30T21:20:32.000Z

from pykitml.testing import pktest_graph, pktest_nograph @pktest_graph def test_heart_forest(): import os.path import numpy as np import pykitml as pk from pykitml.datasets import heartdisease # Download the dataset if(not os.path.exists('heartdisease.pkl')): heartdisease.get() # Lo...

29.140845

88

0.685839

258

2,069

5.267442

0.403101

0.089036

0.169978

0.027962

0.173657

0.111847

0

0.02952

0.214113

2,069

71

89

29.140845

0.806273

0.165781

0

0.15

0

0.133762

0.031542

0

0.05

1

0.05

false

0.025

0.2

0

0.25

0.05

0

null

0

null

0

1

0

736486ab642c356a4d5f9aa4e677a035c93276d3

25,682

py

Python

pdf_audit.py

marctjones/perception

9a9fe4e5cef6a2aa66544066d8c03e0e9c3b0528

[ "MIT" ]

null

pdf_audit.py

marctjones/perception

9a9fe4e5cef6a2aa66544066d8c03e0e9c3b0528

[ "MIT" ]

null

pdf_audit.py

marctjones/perception

9a9fe4e5cef6a2aa66544066d8c03e0e9c3b0528

[ "MIT" ]

null

from globals import Globals import os import subprocess import datetime as dt from urllib import \ request as request # urlopen from io import \ StringIO, BytesIO import string import requests import re import csv import threading import utils as utils import time import datetime as datetime import multiproces...

43.825939

133

0.50035

2,895

25,682

4.156131

0.115717

0.035406

0.070229

0.035655

0.487035

0.422789

0.379987

0.368019

0.310422

0.262301

0

0.016161

0.371155

25,682

585

134

43.900855

0.728854

0.037614

0

0.370526

0

0.066541

0.001835

0

0.003419

0

1

0.012632

false

0.012632

0.052632

0

0.069474

0

null

0

null

0

1

0

7df6fe1ea2b65847f447c2f9cd2b5b13e71d4aef

14,020

py

Python

edb/edgeql/tracer.py

hyperdrivetech/edgedb

6d84d607889eca771e902f28c2329e388fd172b0

[ "Apache-2.0" ]

null

edb/edgeql/tracer.py

hyperdrivetech/edgedb

6d84d607889eca771e902f28c2329e388fd172b0

[ "Apache-2.0" ]

null

edb/edgeql/tracer.py

hyperdrivetech/edgedb

6d84d607889eca771e902f28c2329e388fd172b0

[ "Apache-2.0" ]

null

# # This source file is part of the EdgeDB open source project. # # Copyright 2015-present MagicStack Inc. and the EdgeDB authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http...

27.984032

78

0.604922

1,765

14,020

4.733711

0.141643

0.043088

0.047397

0.080431

0.489288

0.407421

0.337882

0.307361

0.262597

0.245841

0

0.001298

0.285592

14,020

500

79

28.04

0.832867

0.077817

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code.py

surojitnath/olympic-hero

aee1ddf291bf5097fa7fd5442483fbbe87ec001f

[ "MIT" ]

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code.py

surojitnath/olympic-hero

aee1ddf291bf5097fa7fd5442483fbbe87ec001f

[ "MIT" ]

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code.py

surojitnath/olympic-hero

aee1ddf291bf5097fa7fd5442483fbbe87ec001f

[ "MIT" ]

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# -------------- #Importing header files import pandas as pd import numpy as np import matplotlib.pyplot as plt #Path of the file data=pd.read_csv(path) data.rename(columns={'Total':'Total_Medals'},inplace =True) data.head(10) #Code starts here # -------------- try: data['Better_Event'] = np.where(...

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py

Python

planes/kissSlope/kissSlopeWing2.py

alexpGH/blenderCadCamTools

1db2a750ed227d46e174350a2e37c4951c669867

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2020-12-28T11:58:26.000Z

2021-05-31T03:03:04.000Z

planes/kissSlope/kissSlopeWing2.py

alexpGH/blenderCadCamTools

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[ "MIT" ]

null

planes/kissSlope/kissSlopeWing2.py

alexpGH/blenderCadCamTools

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[ "MIT" ]

null

import bpy import math import numpy as np #=== add scripts dir to path import sys import os #=== define path of scripts dir libDir=bpy.path.abspath("//../../scripts/") # version1: relative to current file #libDir="/where/you/placed/blenderCadCam/scripts/" #version 2: usa an absolute path if not libDir in sys.path: ...

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py

Python

miping/training/features.py

mclgoerg/MiningPersonalityInGerman

4c5811a0f72100b7afef9695475a6de9251444b7

[ "Apache-2.0" ]

1

2020-09-11T01:11:19.000Z

miping/training/features.py

mclgoerg/MiningPersonalityInGerman

4c5811a0f72100b7afef9695475a6de9251444b7

[ "Apache-2.0" ]

null

miping/training/features.py

mclgoerg/MiningPersonalityInGerman

4c5811a0f72100b7afef9695475a6de9251444b7

[ "Apache-2.0" ]

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2020-08-12T15:57:06.000Z

2020-12-17T18:11:03.000Z

import numpy as np from sklearn.preprocessing import FunctionTransformer from sklearn.pipeline import Pipeline from sklearn.pipeline import FeatureUnion from sklearn.preprocessing import StandardScaler from ..models.profile import Profile from ..interfaces.helper import Helper from ..interfaces.glove import GloVe fro...

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Python

tests/unit/test_serializers.py

launchpadrecruits/placebo

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2019-06-10T13:52:41.000Z

tests/unit/test_serializers.py

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2018-10-01T13:11:50.000Z

tests/unit/test_serializers.py

launchpadrecruits/lpr-placebo

7b6db70a341d935a2e250b76d1ea47e56e8c9d92

[ "Apache-2.0" ]

null

# Copyright (c) 2015 Mitch Garnaat # # 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 wri...

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Chapter11/web_03.py

vabyte/Modern-Python-Standard-Library-Cookbook

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2018-08-09T09:30:03.000Z

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Chapter11/web_03.py

jiro74/Modern-Python-Standard-Library-Cookbook

4f53e3ab7b61aca1cca9343e7421e170280cd5b5

[ "MIT" ]

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2019-11-04T18:57:40.000Z

2020-09-07T08:52:25.000Z

Chapter11/web_03.py

jiro74/Modern-Python-Standard-Library-Cookbook

4f53e3ab7b61aca1cca9343e7421e170280cd5b5

[ "MIT" ]

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2018-09-26T11:05:55.000Z

2022-03-15T10:31:10.000Z

import urllib.request import urllib.parse import json def http_request(url, query=None, method=None, headers={}, data=None): """Perform an HTTP request and return the associated response.""" parts = vars(urllib.parse.urlparse(url)) if query: parts['query'] = urllib.parse.urlencode(query) url ...

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py

Python

src/fasttick.py

JevinJ/Bittrex-Notify

ea1057fa2fd59d191893eb7a4c31f35db789ba29

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2017-08-15T08:40:44.000Z

2018-01-30T20:55:20.000Z

src/fasttick.py

alimogh/BittrexNotify

ea1057fa2fd59d191893eb7a4c31f35db789ba29

[ "MIT" ]

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2017-08-30T15:46:03.000Z

2018-02-16T09:18:27.000Z

src/fasttick.py

alimogh/BittrexNotify

ea1057fa2fd59d191893eb7a4c31f35db789ba29

[ "MIT" ]

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2017-08-28T17:58:03.000Z

2017-12-05T02:05:18.000Z

import config import misc def heartbeat(): """ Processes data from Bittrex into a simpler dictionary, calls the save function on it, deletes the oldest saved dictionary(if it's out of lookback range), and finally creates a list of the best coins to be used in tkinter listboxes. :return: A list...

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py

Python

scripts/build_folding_map.py

tsieprawski/md4c

9d99b1262de3353f0530ac6b31d8c6934003b61f

[ "MIT" ]

475

2016-11-27T18:37:51.000Z

2022-03-30T19:46:29.000Z

scripts/build_folding_map.py

tsieprawski/md4c

9d99b1262de3353f0530ac6b31d8c6934003b61f

[ "MIT" ]

173

2016-12-05T01:38:37.000Z

2022-01-14T10:06:30.000Z

scripts/build_folding_map.py

tsieprawski/md4c

9d99b1262de3353f0530ac6b31d8c6934003b61f

[ "MIT" ]

110

2016-11-29T20:02:16.000Z

2022-03-30T23:51:58.000Z

#!/usr/bin/env python3 import os import sys import textwrap self_path = os.path.dirname(os.path.realpath(__file__)); f = open(self_path + "/unicode/CaseFolding.txt", "r") status_list = [ "C", "F" ] folding_list = [ dict(), dict(), dict() ] # Filter the foldings for "full" folding. for line in f: comment_off =...

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py

Python

Codigo/pruebas/Jose_Gonzalez/Solucion_PruebaTipoPiso.py

JoaquinRodriguez2006/RoboCup_Junior_Material

04f295010272fb8287c8f214bf69f1a61ee2b7cf

[ "MIT" ]

null

Codigo/pruebas/Jose_Gonzalez/Solucion_PruebaTipoPiso.py

JoaquinRodriguez2006/RoboCup_Junior_Material

04f295010272fb8287c8f214bf69f1a61ee2b7cf

[ "MIT" ]

null

Codigo/pruebas/Jose_Gonzalez/Solucion_PruebaTipoPiso.py

JoaquinRodriguez2006/RoboCup_Junior_Material

04f295010272fb8287c8f214bf69f1a61ee2b7cf

[ "MIT" ]

1

2022-03-19T22:57:33.000Z

from controller import Robot from controller import Motor from controller import PositionSensor from controller import Robot, DistanceSensor, GPS, Camera, Receiver, Emitter import cv2 import numpy as np import math import time robot = Robot() timeStep = 32 tile_size = 0.12 speed = 6.28 media_baldoza = 0.06 estado = 1 ...

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py

Python

venv/lib/python3.6/site-packages/cligj/__init__.py

booklover98/A-_pathfinding

09afebfc953ce9773bc4fc781eb6d0496caccfba

[ "MIT" ]

null

venv/lib/python3.6/site-packages/cligj/__init__.py

booklover98/A-_pathfinding

09afebfc953ce9773bc4fc781eb6d0496caccfba

[ "MIT" ]

7

2021-06-04T23:45:15.000Z

2022-03-12T00:44:14.000Z

virtual/Lib/site-packages/cligj/__init__.py

owenabrams/bluemoonkampala

8801df64e91683a2641f2cd4bcbe03ebc7f40828

[ "MIT" ]

null

# cligj # Shared arguments and options. import click from .features import normalize_feature_inputs # Arguments. # Multiple input files. files_in_arg = click.argument( 'files', nargs=-1, type=click.Path(resolve_path=True), required=True, metavar="INPUTS...") # Multiple files, last of which is...

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py

Python

setup.py

ELC/testnbdev

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[ "Apache-2.0" ]

1

2021-02-19T15:34:58.000Z

setup.py

ELC/testnbdev

571400a9308ba91f05f6fabad5d3f79fd4417ab1

[ "Apache-2.0" ]

2

2021-09-28T05:49:28.000Z

2022-02-26T10:24:52.000Z

setup.py

ELC/nbdev_template

571400a9308ba91f05f6fabad5d3f79fd4417ab1

[ "Apache-2.0" ]

null

from pkg_resources import parse_version from configparser import ConfigParser import setuptools assert parse_version(setuptools.__version__)>=parse_version('36.2') # note: all settings are in settings.ini; edit there, not here config = ConfigParser(delimiters=['=']) config.read('settings.ini') config = config['DEFAULT...

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py

Python

amaascore/tools/generate_party.py

amaas-fintech/amaas-core-sdk-python

bd77884de6e5ab05d864638addeb4bb338a51183

[ "Apache-2.0" ]

null

amaascore/tools/generate_party.py

amaas-fintech/amaas-core-sdk-python

bd77884de6e5ab05d864638addeb4bb338a51183

[ "Apache-2.0" ]

8

2017-06-06T09:42:41.000Z

2018-01-16T10:16:16.000Z

amaascore/tools/generate_party.py

amaas-fintech/amaas-core-sdk-python

bd77884de6e5ab05d864638addeb4bb338a51183

[ "Apache-2.0" ]

8

2017-01-18T04:14:01.000Z

2017-12-01T08:03:10.000Z

from __future__ import absolute_import, division, print_function, unicode_literals from amaasutils.random_utils import random_string, random_decimal import random from amaascore.core.reference import Reference from amaascore.parties.asset_manager import AssetManager from amaascore.parties.broker import Broker from am...

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Python

fitgrid/utils/lmer.py

vishalbelsare/fitgrid

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2020-02-01T22:58:32.000Z

2022-03-29T11:31:00.000Z

fitgrid/utils/lmer.py

vishalbelsare/fitgrid

0197e7a3fc2c937da03d768b5c91220eebe54a22

[ "BSD-3-Clause" ]

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2018-09-11T16:41:30.000Z

2021-08-03T19:26:23.000Z

fitgrid/utils/lmer.py

vishalbelsare/fitgrid

0197e7a3fc2c937da03d768b5c91220eebe54a22

[ "BSD-3-Clause" ]

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2019-02-27T08:11:31.000Z

2021-07-21T20:50:36.000Z

# -*- coding: utf-8 -*- """User functions to streamline working with selected pymer4 LMER fit attributes from lme4::lmer and lmerTest for ``fitgrid.lmer`` grids. """ import functools import re import warnings import numpy as np import pandas as pd import matplotlib as mpl from matplotlib import pyplot as plt import f...

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Python

pyesasky/jupyter_server.py

pierfra-ro/pyesasky

a9342efcaa5cca088ed9a5afa2c98d3e9aa4bd0f

[ "BSD-3-Clause" ]

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2019-05-30T19:57:37.000Z

2021-09-10T09:43:49.000Z

pyesasky/jupyter_server.py

pierfra-ro/pyesasky

a9342efcaa5cca088ed9a5afa2c98d3e9aa4bd0f

[ "BSD-3-Clause" ]

21

2019-06-21T18:55:25.000Z

2022-02-27T14:48:13.000Z

pyesasky/jupyter_server.py

pierfra-ro/pyesasky

a9342efcaa5cca088ed9a5afa2c98d3e9aa4bd0f

[ "BSD-3-Clause" ]

8

2019-05-30T12:20:48.000Z

2022-03-04T04:01:20.000Z

import os import json from hashlib import md5 from tornado import web from notebook.utils import url_path_join from notebook.base.handlers import IPythonHandler __all__ = ['load_jupyter_server_extension'] STATIC_DIR = os.path.join(os.path.dirname(__file__), 'nbextension', 'static'); CONFIG = os.path.expanduser('~/.py...

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Python

xarray/backends/npy_io.py

martinResearch/xarray

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[ "Apache-2.0" ]

null

xarray/backends/npy_io.py

martinResearch/xarray

e921d1bfa4785b10310f8b5d46a1efacba7e1cc9

[ "Apache-2.0" ]

null

xarray/backends/npy_io.py

martinResearch/xarray

e921d1bfa4785b10310f8b5d46a1efacba7e1cc9

[ "Apache-2.0" ]

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import numpy as np import xarray as xr import pandas as pd import sys import json import os import datetime from xarray.core.utils import ( decode_numpy_dict_values, either_dict_or_kwargs, ensure_us_time_resolution, ) from numpy.compat import ( asbytes, asstr, asunicode, bytes, basestring, os_fspath,...

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14,222

py

Python

applications/popart/bert/bert_data/squad_dataset.py

Alwaysproblem/examples-1

9754fa63ed1931489a21ac1f5b299f945e369a5c

[ "MIT" ]

null

applications/popart/bert/bert_data/squad_dataset.py

Alwaysproblem/examples-1

9754fa63ed1931489a21ac1f5b299f945e369a5c

[ "MIT" ]

null

applications/popart/bert/bert_data/squad_dataset.py

Alwaysproblem/examples-1

9754fa63ed1931489a21ac1f5b299f945e369a5c

[ "MIT" ]

null

# Copyright (c) 2019 Graphcore Ltd. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable l...

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0

null

0

1

0

b4091bea05e2b9f2e78f9f40870c9ac7e8a9cac3

15,755

py

Python

eval.py

dawnchen123/VS-Net

21aa8873e32351716302934887f6a08e7d568ea2

[ "Apache-2.0" ]

55

2021-04-17T08:15:06.000Z

2022-03-30T02:38:27.000Z

eval.py

dawnchen123/VS-Net

21aa8873e32351716302934887f6a08e7d568ea2

[ "Apache-2.0" ]

3

2021-05-30T03:29:01.000Z

2022-03-03T00:47:33.000Z

eval.py

dawnchen123/VS-Net

21aa8873e32351716302934887f6a08e7d568ea2

[ "Apache-2.0" ]

11

2021-07-01T15:15:23.000Z

2022-02-12T06:47:26.000Z

import os import cv2 import time import json import random import inspect import argparse import numpy as np from tqdm import tqdm from dataloaders import make_data_loader from models.sync_batchnorm.replicate import patch_replication_callback from models.vs_net import * from utils.loss import loss_dict from utils.lr_s...

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0

null

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0

b40a24b1b84590432a339ee0e8fac4f84e897ac1

2,692

py

Python

data/__init__.py

Joaomlg/multilayer-perceptron-mnist

0454c4970c3a06a37ac7c20787a1bdf1cda7da0f

[ "MIT" ]

13

2021-05-15T04:22:04.000Z

2022-03-29T10:55:32.000Z

data/__init__.py

Joaomlg/multilayer-perceptron-mnist

0454c4970c3a06a37ac7c20787a1bdf1cda7da0f

[ "MIT" ]

null

data/__init__.py

Joaomlg/multilayer-perceptron-mnist

0454c4970c3a06a37ac7c20787a1bdf1cda7da0f

[ "MIT" ]

4

2021-05-18T07:48:52.000Z

2021-07-10T10:11:41.000Z

import numpy as np import gzip import pickle import os import urllib.request class MNIST: host = 'http://yann.lecun.com/exdb/mnist/' filenames = { 'train': ('train-images-idx3-ubyte.gz', 'train-labels-idx1-ubyte.gz'), 'test': ('t10k-images-idx3-ubyte.gz', 't10k-labels-idx1-ubyte.gz'), } dataset_filen...

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null

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null

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b40bc88be7d9975ca6ad22574a73918dc37e3371

11,368

py

Python

push_exp/main_CrouchSimulationForCOT.py

snumrl/DeepPushRecovery

dceb7f3114d4314cf3be875f43723255819e12a3

[ "Apache-2.0" ]

null

push_exp/main_CrouchSimulationForCOT.py

snumrl/DeepPushRecovery

dceb7f3114d4314cf3be875f43723255819e12a3

[ "Apache-2.0" ]

null

push_exp/main_CrouchSimulationForCOT.py

snumrl/DeepPushRecovery

dceb7f3114d4314cf3be875f43723255819e12a3

[ "Apache-2.0" ]

1

2021-07-26T15:08:58.000Z

import os import numpy as np import time import multiprocessing as mp import csv import socket import datetime import math import glob from pypushexp import PushSim # # input - [recorded item] # [weight] : 48 # [height] : 160 # [crouch_angle] (deg) # [step_length_ratio] # [halfcycle_duration_rati...

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null

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null

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1

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b40e2538e7eca239f3b41df3368718122f54c302

10,744

py

Python

gorilla/config/_config.py

sunjiahao1999/gorilla-core

bf43e3a49c7f79834ae969db38edd50f17ef5288

[ "MIT" ]

4

2021-07-28T04:50:26.000Z

2021-09-23T12:59:01.000Z

gorilla/config/_config.py

sunjiahao1999/gorilla-core

bf43e3a49c7f79834ae969db38edd50f17ef5288

[ "MIT" ]

null

gorilla/config/_config.py

sunjiahao1999/gorilla-core

bf43e3a49c7f79834ae969db38edd50f17ef5288

[ "MIT" ]

2

2021-08-05T04:01:12.000Z

2021-12-25T02:17:03.000Z

# Copyright (c) Open-MMLab. All rights reserved. import os import json import tempfile import warnings from typing import Optional from argparse import Namespace from addict import Dict from ..utils import check_file BASE_KEY = "_base_" RESERVED_KEYS = ["filename", "text"] class ConfigDict(Dict): r"""ConfigDic...

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null

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null

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0

b40e4f7e84bc53160bafd291d5c8ea6b4b1f43bd

2,643

py

Python

Kaspa/modules/extension_modules/spotify_module/spotifyModuleEn.py

karim-awad/kaspa

701d935dd215bfd9a4810a4430973b33fecec257

[ "MIT" ]

null

Kaspa/modules/extension_modules/spotify_module/spotifyModuleEn.py

karim-awad/kaspa

701d935dd215bfd9a4810a4430973b33fecec257

[ "MIT" ]

null

Kaspa/modules/extension_modules/spotify_module/spotifyModuleEn.py

karim-awad/kaspa

701d935dd215bfd9a4810a4430973b33fecec257

[ "MIT" ]

null

from Kaspa.modules.abstract_modules.abstractSubmodule import AbstractSubmodule from Kaspa.modules.exceptions.impossibleActionError import ImpossibleActionError from Kaspa.config import Config class SpotifyModuleEn(AbstractSubmodule): module_name = "Spotify" language = "en" key_regexes = dict() def ...

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null

0

null

0

1

0

b40e9592fe62c2017e79612d2b201dbc82a4fb4e

2,768

py

Python

screenshot-server/app/main.py

martindines/ScreenshotServer

21d1529157f4625cd26196000c4a30342ab4d713

[ "MIT" ]

1

2019-12-31T18:43:08.000Z

screenshot-server/app/main.py

martindines/ScreenshotServer

21d1529157f4625cd26196000c4a30342ab4d713

[ "MIT" ]

1

2019-12-31T19:35:24.000Z

screenshot-server/app/main.py

martindines/ScreenshotServer

21d1529157f4625cd26196000c4a30342ab4d713

[ "MIT" ]

null

import os import sys import pathlib from utilities import get_random_hash from flask import Flask, flash, request, redirect, url_for, send_from_directory, jsonify, Response UPLOAD_FOLDER = os.environ.get('UPLOAD_FOLDER') if os.environ.get('UPLOAD_FOLDER') else '/tmp' ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', '...

24.936937

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0.000504

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null

0

null

0

1

0

b410813c6c4297c46c6ca2597443a122ba6dda59

4,308

py

Python

test/unit/tools/test_basisconstructors.py

colibri-coruscans/pyGSTi

da54f4abf668a28476030528f81afa46a1fbba33

[ "Apache-2.0" ]

73

2016-01-28T05:02:05.000Z

2022-03-30T07:46:33.000Z

test/unit/tools/test_basisconstructors.py

colibri-coruscans/pyGSTi

da54f4abf668a28476030528f81afa46a1fbba33

[ "Apache-2.0" ]

113

2016-02-25T15:32:18.000Z

2022-03-31T13:18:13.000Z

test/unit/tools/test_basisconstructors.py

colibri-coruscans/pyGSTi

da54f4abf668a28476030528f81afa46a1fbba33

[ "Apache-2.0" ]

41

2016-03-15T19:32:07.000Z

2022-02-16T10:22:05.000Z

import numpy as np import pygsti.baseobjs.basisconstructors as bc from ..util import BaseCase class BasisConstructorsTester(BaseCase): def test_GellMann(self): id2x2 = np.array([[1, 0], [0, 1]]) sigmax = np.array([[0, 1], [1, 0]]) sigmay = np.array([[0, -1.0j], [1.0j, 0]]) sigmaz ...

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null

0

null

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1

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b415f8911ff14da18af621c103440493a6703472

1,281

py

Python

Practical/Easy/HSV color wheel/colorwheel.py

saintwithataint/Pro-g-rammingChallenges4

3f720a375b89ee289237819c2dc89226634b7a5b

[ "Apache-2.0" ]

1

2022-03-16T16:47:22.000Z

Practical/Easy/HSV color wheel/colorwheel.py

saintwithataint/Pro-g-rammingChallenges4

3f720a375b89ee289237819c2dc89226634b7a5b

[ "Apache-2.0" ]

null

Practical/Easy/HSV color wheel/colorwheel.py

saintwithataint/Pro-g-rammingChallenges4

3f720a375b89ee289237819c2dc89226634b7a5b

[ "Apache-2.0" ]

2

2022-02-02T18:02:03.000Z

2022-03-16T16:47:34.000Z

import colour import matplotlib.pyplot as plt import numpy as np COLOUR_STYLE = colour.plotting.colour_style() COLOUR_STYLE.update( { "figure.figsize": (11, 11), "legend.framealpha": colour.plotting.COLOUR_STYLE_CONSTANTS.opacity.low, } ) plt.style.use(COLOUR_STYLE) plt.style.use("dark_backgrou...

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0.138889

0

null

0

null

0

1

0

b4162ac39dacfccdd55b041dd156a4ebc43907ba

40,090

py

Python

kojen/smgen.py

kohjaen/kojen

e61855e48617e691d1fa0ddac4fdabac6b6a1eff

[ "MIT" ]

3

2020-07-12T08:17:42.000Z

2022-02-11T15:44:49.000Z

kojen/smgen.py

kohjaen/kojen

e61855e48617e691d1fa0ddac4fdabac6b6a1eff

[ "MIT" ]

null

kojen/smgen.py

kohjaen/kojen

e61855e48617e691d1fa0ddac4fdabac6b6a1eff

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'eugene' ''' MIT License Copyright (c) 2015 Eugene Grobbelaar (email : koh.jaen@yahoo.de) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to d...

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0

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null

0

null

0

1

0

b419bda7c8455defc3ecb61092c5f3412e12801a

1,744

py

Python

roku/discovery.py

metagrapher/python-roku

0cd209ec94531e7c4c29ca7f6a41a6199374c206

[ "BSD-3-Clause" ]

null

roku/discovery.py

metagrapher/python-roku

0cd209ec94531e7c4c29ca7f6a41a6199374c206

[ "BSD-3-Clause" ]

null

roku/discovery.py

metagrapher/python-roku

0cd209ec94531e7c4c29ca7f6a41a6199374c206

[ "BSD-3-Clause" ]

null

""" Code adapted from Dan Krause. https://gist.github.com/dankrause/6000248 http://github.com/dankrause """ import socket from http.client import HTTPResponse from io import BytesIO ST_DIAL = 'urn:dial-multiscreen-org:service:dial:1' ST_ECP = 'roku:ecp' class _FakeSocket(BytesIO): def makefile(self, *args, **kw)...

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0.285714

0

null

0

null

0

1

0

b41db3bb0788a43b8d82ec7b22eb82e644666c44

2,141

py

Python

Softmax.py

tranbamanh229289/Machine-and-Data-mining-

b43a3815b74365e6e5b05b49bb92f3db4606ffca

[ "Apache-2.0" ]

null

Softmax.py

tranbamanh229289/Machine-and-Data-mining-

b43a3815b74365e6e5b05b49bb92f3db4606ffca

[ "Apache-2.0" ]

null

Softmax.py

tranbamanh229289/Machine-and-Data-mining-

b43a3815b74365e6e5b05b49bb92f3db4606ffca

[ "Apache-2.0" ]

null

import Common import pandas as pd import numpy as np import matplotlib.pyplot as plt RATIO = 0.8 EPOCHS = 500 LEARN_RATE = 0.01 INDENTIFICATION_RATE = 0.6 # Read training data X_train, Y_train, X_test, Y_test,scale_train,scale_test = Common.process(RATIO) def preprocessing (X_train,Y_train ,X_test ,Y_test): X_tra...

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2,141

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0.035088

0

null

0

null

0

1

0

b41f08666a2d2b54abb8df40e1f44d9b70d9644a

7,784

py

Python

demo/trace_model.py

furkankirac/maskrcnn-benchmark

a348dc36600e577c3ba569320f3a6a8e15986f72

[ "MIT" ]

null

demo/trace_model.py

furkankirac/maskrcnn-benchmark

a348dc36600e577c3ba569320f3a6a8e15986f72

[ "MIT" ]

null

demo/trace_model.py

furkankirac/maskrcnn-benchmark

a348dc36600e577c3ba569320f3a6a8e15986f72

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. from __future__ import division import os import numpy from io import BytesIO from matplotlib import pyplot import requests import torch from PIL import Image from maskrcnn_benchmark.config import cfg from predictor import COCODemo from maskrcnn...

41.185185

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null

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null

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b425096bf56f11b8a01b6bd3c09874f67758b609

5,767

py

Python

FictionTools/amitools/amitools/binfmt/elf/BinFmtELF.py

polluks/Puddle-BuildTools

c1762d53a33002b62d8cffe3db129505a387bec3

[ "BSD-2-Clause" ]

38

2021-06-18T12:56:15.000Z

2022-03-12T20:38:40.000Z

FictionTools/amitools/amitools/binfmt/elf/BinFmtELF.py

polluks/Puddle-BuildTools

c1762d53a33002b62d8cffe3db129505a387bec3

[ "BSD-2-Clause" ]

2

2021-06-20T16:28:12.000Z

2021-11-17T21:33:56.000Z

FictionTools/amitools/amitools/binfmt/elf/BinFmtELF.py

polluks/Puddle-BuildTools

c1762d53a33002b62d8cffe3db129505a387bec3

[ "BSD-2-Clause" ]

6

2021-06-18T18:18:36.000Z

2021-12-22T08:01:32.000Z

from amitools.binfmt.BinImage import * from .ELFFile import * from .ELF import * from .ELFReader import ELFReader from .DwarfDebugLine import DwarfDebugLine class BinFmtELF: """Handle Amiga m68k binaries in ELF format (usually from AROS)""" def is_image(self, path): """check if a given file is a supp...

31.686813

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5,767

3.97629

0.23152

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0.031568

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0.179688

0.023438

0

null

0

null

0

1

0

b425e1b4a3766b7202ee32581542acc01753bfbd

11,532

py

Python

recordtransform.py

Andresfgomez970/Managing-.wav-files-in-python

2bf344a3217efe9dc15349ef4be14f2e5cb53ace

[ "MIT" ]

null

recordtransform.py

Andresfgomez970/Managing-.wav-files-in-python

2bf344a3217efe9dc15349ef4be14f2e5cb53ace

[ "MIT" ]

null

recordtransform.py

Andresfgomez970/Managing-.wav-files-in-python

2bf344a3217efe9dc15349ef4be14f2e5cb53ace

[ "MIT" ]

null

import pyaudio import wave import matplotlib.pyplot as plt import numpy as np import matplotlib.pylab as plt from scipy.io import wavfile import cmath as cm from scipy.fftpack import fft from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm from matplotlib.ticker import LinearLocator, FormatStrFormatter fro...

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0.435145

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null

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b4266c4983e7f09a613d7773116f8f267c2d1a3a

2,994

py

Python

AllSidesScraper/allsides.py

Epicrider/polibalance

88a0adf54d09baeac3dcad36ce119640d6aa990b

[ "MIT" ]

null

AllSidesScraper/allsides.py

Epicrider/polibalance

88a0adf54d09baeac3dcad36ce119640d6aa990b

[ "MIT" ]

null

AllSidesScraper/allsides.py

Epicrider/polibalance

88a0adf54d09baeac3dcad36ce119640d6aa990b

[ "MIT" ]

null

from bs4 import BeautifulSoup import requests from communityFeedback import * from time import sleep from rich.progress import track import json page = [ 'https://www.allsides.com/media-bias/media-bias-ratings', ] def table(full_table): # The main table print('Web scraper is parsing the table!') for...

32.193548

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2,994

4.531579

0.357895

0.073171

0.052265

0.033101

0.2741

0.148664

0

0.005048

0.272211

2,994

92

95

32.543478

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0

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0.046154

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0

0.184615

0.030769

0

null

0

null

0

1

0

b42826894cb5a72b4000d0d8ef3a13b2f541b2b5

3,271

py

Python

aot/meta_triggers/metatrigger_treasure.py

jaycheungchunman/age-of-triggers

f2a75685a0b0cc9e26132d4f52b6ed2c4798f6b4

[ "MIT" ]

null

aot/meta_triggers/metatrigger_treasure.py

jaycheungchunman/age-of-triggers

f2a75685a0b0cc9e26132d4f52b6ed2c4798f6b4

[ "MIT" ]

null

aot/meta_triggers/metatrigger_treasure.py

jaycheungchunman/age-of-triggers

f2a75685a0b0cc9e26132d4f52b6ed2c4798f6b4

[ "MIT" ]

null

from aot import * from aot.model.trigger import * from aot.model.condition import * from aot.model.effect import * from aot.meta_triggers.metatrigger import MetaTrigger from aot.model.enums.resource import EnumResource from aot.model.enums.player import PlayerEnum from aot.model.enums.unit import UnitConstant, UnitType...

45.430556

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0.09735

0.02765

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0.330069

0

0.016408

0.329257

3,271

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102

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0.77484

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0

0.029655

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0

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0.081967

false

0

0.131148

0

0.278689

0

null

0

null

0

1

0

b4283b91c4a94a15dbf38eab20ef16e0e0641f20

2,625

py

Python

agent/lm_agent/server_interfaces/lsdyna.py

omnivector-solutions/license-manager

9eb1e4569d692aef83a2388096e7413bc010be61

[ "MIT" ]

2

2020-11-15T22:54:39.000Z

2022-02-15T07:58:55.000Z

agent/lm_agent/server_interfaces/lsdyna.py

omnivector-solutions/license-manager

9eb1e4569d692aef83a2388096e7413bc010be61

[ "MIT" ]

2

2022-02-18T19:36:45.000Z

2022-03-16T23:07:44.000Z

agent/lm_agent/server_interfaces/lsdyna.py

omnivector-solutions/license-manager

9eb1e4569d692aef83a2388096e7413bc010be61

[ "MIT" ]

null

"""LS-Dyna license server interface.""" import typing from lm_agent.config import settings from lm_agent.exceptions import LicenseManagerBadServerOutput from lm_agent.parsing import lsdyna from lm_agent.server_interfaces.license_server_interface import LicenseReportItem, LicenseServerInterface from lm_agent.server_int...

38.602941

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0.694476

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2,625

5.383436

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0.066667

0.031339

0.043305

0.05698

0

0.000497

0.232762

2,625

67

106

39.179104

0.870904

0.184762

0

0.067762

0.011294

0

1

0.051282

false

0

0.153846

0

0.307692

0

null

0

null

0

1

0

b428942d04da784eb0b105b8727b2b0340163593

2,634

py

Python

examples/gan/gan_embeddings.py

ojmakhura/DIGITS

f34e62c245054b51ea51fcb8949d2ca777f162d1

[ "BSD-3-Clause" ]

null

examples/gan/gan_embeddings.py

ojmakhura/DIGITS

f34e62c245054b51ea51fcb8949d2ca777f162d1

[ "BSD-3-Clause" ]

null

examples/gan/gan_embeddings.py

ojmakhura/DIGITS

f34e62c245054b51ea51fcb8949d2ca777f162d1

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved. import argparse import os import pickle import shutil import numpy as np import PIL.Image import tensorflow as tf from tensorflow.contrib.tensorboard.plugins import projector TB_DIR = os.path.join(os.getcwd(), "gan-tb") SPRITE_IMA...

29.595506

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2,634

4.93913

0.388406

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0.025822

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0.017606

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0.004363

0.216781

2,634

88

89

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0

0.133333

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0.016667

0

null

0

null

0

1

0

b42bc72a01713bbb619aec869a9dad62431b9ce2

4,613

py

Python

pyxtal/miscellaneous/from_ase_molecule.py

ubikpt/PyXtal

32da046a2bde542279824d6377aea116b679a2e7

[ "MIT" ]

127

2018-09-21T22:27:17.000Z

2022-03-30T21:11:49.000Z

pyxtal/miscellaneous/from_ase_molecule.py

ubikpt/PyXtal

32da046a2bde542279824d6377aea116b679a2e7

[ "MIT" ]

171

2018-08-06T07:10:24.000Z

2022-03-29T00:59:53.000Z

pyxtal/miscellaneous/from_ase_molecule.py

ubikpt/PyXtal

32da046a2bde542279824d6377aea116b679a2e7

[ "MIT" ]

50

2018-08-12T22:50:46.000Z

2022-03-23T07:52:47.000Z

from pyxtal.molecule import * from ase.build import molecule from pymatgen.core import Molecule def get_ase_mol(molname): """convert ase molecule to pymatgen style""" ase_mol = molecule(molname) pos = ase_mol.get_positions() symbols = ase_mol.get_chemical_symbols() return Molecule(symbols, pos) ...

36.904

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0.506829

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4,613

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0.553759

0.510052

0

0.015939

0.374377

4,613

124

83

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0.095745

0

null

0

null

0

1

0

b42d69d014401c8b0ab94e331591c7f7f7c7c313

2,650

py

Python

my_project/evolution_forces.py

Abhigyan-Mishra/Quantum-Animation

675ac367461f6f2b3e0cee3a99db9e1541567e7a

[ "MIT" ]

null

my_project/evolution_forces.py

Abhigyan-Mishra/Quantum-Animation

675ac367461f6f2b3e0cee3a99db9e1541567e7a

[ "MIT" ]

null

my_project/evolution_forces.py

Abhigyan-Mishra/Quantum-Animation

675ac367461f6f2b3e0cee3a99db9e1541567e7a

[ "MIT" ]

null

from manimlib.imports import * """ TODO: [ ] fix arrow head size auto scale according to size? have a default size, but, if the arrow size is too short, then shrink the head [ ] slide the point according to the gradient """ class ParaboloidPlot(SpecialThreeDScene): CONFIG = { "three_d_axes_config": { "num_...

24.311927

80

0.669057

404

2,650

4.183168

0.324257

0.047337

0.044379

0.04497

0.125444

0.119527

0

0.033718

0.183019

2,650

108

81

24.537037

0.746882

0.09283

0

0.102564

0

0.145463

0.036024

0

0.009259

0

1

0.064103

false

0

0.012821

0

0.102564

0

null

0

null

0

1

0

b42dd19edf20cbabd2658c3670786d63ec526613

13,056

py

Python

tests/python/tensor_graph/test/test_internal/performance/build_time_resnet.py

QinHan-Erin/AMOS

634bf48edf4015e4a69a8c32d49b96bce2b5f16f

[ "Apache-2.0" ]

22

2022-03-18T07:29:31.000Z

2022-03-23T14:54:32.000Z

tests/python/tensor_graph/test/test_internal/performance/build_time_resnet.py

QinHan-Erin/AMOS

634bf48edf4015e4a69a8c32d49b96bce2b5f16f

[ "Apache-2.0" ]

null

tests/python/tensor_graph/test/test_internal/performance/build_time_resnet.py

QinHan-Erin/AMOS

634bf48edf4015e4a69a8c32d49b96bce2b5f16f

[ "Apache-2.0" ]

2

2022-03-18T08:26:34.000Z

2022-03-20T06:02:48.000Z

import tvm import sys import time import numpy as np from tvm.tensor_graph.testing.models import resnet from tvm.tensor_graph.core import ForwardGraph, BackwardGraph, compute, \ GraphTensor, GraphOp, PyTIRGraph from tvm.tensor_graph.nn import CELoss, SGD from tvm.tensor_graph.core.schedul...

32.157635

137

0.644455

1,745

13,056

4.624069

0.140401

0.027761

0.017722

0.024538

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0.411575

0.399058

0.373528

0.36981

0

0.015096

0.203431

13,056

406

138

32.157635

0.760769

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false

0

0.063559

0

0.076271

0.169492

0

null

0

null

0

1

0

b42f2c192af4e02268e2e461bdd471fe5bb67342

2,300

py

Python

Python3/src/basicExample.py

emanuelen5/XPlaneConnect

0d462ac306bc802a3b269227d3b98d2507abcd40

[ "Unlicense" ]

457

2015-01-02T14:21:11.000Z

2022-03-27T02:56:47.000Z

Python3/src/basicExample.py

fseconomy/XPlaneConnect

11a5f350bd6888873d293bf3c9f59b0fba1331c1

[ "Unlicense" ]

211

2015-03-24T16:41:33.000Z

2022-03-27T18:36:11.000Z

Python3/src/basicExample.py

fseconomy/XPlaneConnect

11a5f350bd6888873d293bf3c9f59b0fba1331c1

[ "Unlicense" ]

258

2015-01-01T17:02:27.000Z

2022-03-31T19:36:03.000Z

from time import sleep import xpc def ex(): print("X-Plane Connect example script") print("Setting up simulation") with xpc.XPlaneConnect() as client: # Verify connection try: # If X-Plane does not respond to the request, a timeout error # will be raised. ...

31.944444

81

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2,300

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0.058584

0.04882

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0.063466

0

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2,300

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82

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0.740766

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0

0.20081

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0

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false

0

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0

0.086957

0.304348

0

null

0

null

0

1

0

b42fa4f8536cb94842b8b435241c9e24e5dca076

27,419

py

Python

venv/lib/python3.6/site-packages/pelican/readers.py

RyanHelgoth/CMPUT404-Lab5

82424bf5a9b80ff186bd69d224457c8b70a3bdf3

[ "Apache-2.0" ]

null

venv/lib/python3.6/site-packages/pelican/readers.py

RyanHelgoth/CMPUT404-Lab5

82424bf5a9b80ff186bd69d224457c8b70a3bdf3

[ "Apache-2.0" ]

null

venv/lib/python3.6/site-packages/pelican/readers.py

RyanHelgoth/CMPUT404-Lab5

82424bf5a9b80ff186bd69d224457c8b70a3bdf3

[ "Apache-2.0" ]

null

import datetime import logging import os import re from collections import OrderedDict from html import escape from html.parser import HTMLParser from io import StringIO import docutils import docutils.core import docutils.io from docutils.parsers.rst.languages import get_language as get_docutils_lang from docutils.wr...

36.607477

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0.581276

3,053

27,419

5.050442

0.171962

0.019457

0.010896

0.006356

0.18354

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0.052468

0.041896

0.027109

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0.002463

0.318721

27,419

748

80

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0.213592

0

null

0

null

0

1

0

b4314fe64ec815899c36c9b326b930ecd497d54b

4,017

py

Python

xmuda/models/CP_v5.py

anhquancao/xmuda-extend

4b670ec2f6766e3a624e81dbe5d97b209c1c4f76

[ "Apache-2.0" ]

null

xmuda/models/CP_v5.py

anhquancao/xmuda-extend

4b670ec2f6766e3a624e81dbe5d97b209c1c4f76

[ "Apache-2.0" ]

null

xmuda/models/CP_v5.py

anhquancao/xmuda-extend

4b670ec2f6766e3a624e81dbe5d97b209c1c4f76

[ "Apache-2.0" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from xmuda.models.DDR import Bottleneck3D from xmuda.models.LMSCNet import SegmentationHead, ASPP import numpy as np from xmuda.models.modules import Process, Upsample, Downsample import math from xmuda.data.utils.preprocess import create_voxel_position...

40.17

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4,017

4.298587

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0.064118

0.039046

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0.157008

0.115906

0.081381

0

0.047009

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4,017

99

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40.575758

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0.054767

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0.226667

0.013333

0

null

0

null

0

1

0

b432caf11213235d03484242de9f5514f01637df

10,511

py

Python

gala/potential/potential/tests/helpers.py

ltlancas/gala

2621bb599d67e74a85446abf72d5930ef70ca181

[ "MIT" ]

1

2021-10-14T03:36:15.000Z

gala/potential/potential/tests/helpers.py

ltlancas/gala

2621bb599d67e74a85446abf72d5930ef70ca181

[ "MIT" ]

null

gala/potential/potential/tests/helpers.py

ltlancas/gala

2621bb599d67e74a85446abf72d5930ef70ca181

[ "MIT" ]

null

# coding: utf-8 from __future__ import division, print_function # Standard library import time # Third-party import matplotlib.pyplot as plt import numpy as np from scipy.misc import derivative from astropy.extern.six.moves import cPickle as pickle import pytest # Project from ..io import load from ..core import C...

38.785978

113

0.560936

1,399

10,511

4.117941

0.178699

0.139906

0.047735

0.041659

0.489672

0.457386

0.415032

0.386044

0.3272

0.293873

0

0.027514

0.298069

10,511

270

114

38.92963

0.753321

0.067358

0

0.196891

0

0.027595

0

0.003704

0.098446

1

0.098446

false

0.010363

0.062176

0

0.212435

0.015544

0

null

0

null

0

1

0

b4343b1a76985ec5d57d6a76843b7a4f2ed671b3

9,677

py

Python

main.py

ailzy/Reinforcement-learning-in-portfolio-management-

6d850bf52637482636ed8336480343e0e4cef1bd

[ "MIT" ]

null

main.py

ailzy/Reinforcement-learning-in-portfolio-management-

6d850bf52637482636ed8336480343e0e4cef1bd

[ "MIT" ]

null

main.py

ailzy/Reinforcement-learning-in-portfolio-management-

6d850bf52637482636ed8336480343e0e4cef1bd

[ "MIT" ]

1

2019-05-13T00:54:08.000Z

# -*- coding: utf-8 -*- from argparse import ArgumentParser import json import time import pandas as pd import tensorflow as tf import numpy as np import math from decimal import Decimal import matplotlib.pyplot as plt from agents.ornstein_uhlenbeck import OrnsteinUhlenbeckActionNoise eps=10e-8 epochs=0...

36.516981

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0.602563

1,210

9,677

4.65124

0.177686

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0.015991

0.007996

0.280384

0.261549

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0.233298

0.222637

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9,677

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191

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null

0

null

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1

0

b43620ea470685e6e28c7e7bc58a0b84c3272e13

7,365

py

Python

packages/structural_dhcp_mriqc/structural_dhcp_mriqc/utils/fs2gif.py

amakropoulos/structural-pipeline-measures

70e22f9ad94cc57e72e510576cfc3129da83f7fc

[ "Apache-2.0" ]

2

2017-09-11T15:25:14.000Z

2019-09-27T17:08:31.000Z

packages/structural_dhcp_mriqc/structural_dhcp_mriqc/utils/fs2gif.py

amakropoulos/structural-pipeline-measures

70e22f9ad94cc57e72e510576cfc3129da83f7fc

[ "Apache-2.0" ]

6

2019-08-22T06:29:45.000Z

2021-09-19T18:59:46.000Z

packages/structural_dhcp_mriqc/structural_dhcp_mriqc/utils/fs2gif.py

amakropoulos/structural-pipeline-measures

70e22f9ad94cc57e72e510576cfc3129da83f7fc

[ "Apache-2.0" ]

1

2018-02-12T14:38:33.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Author: oesteban # @Date: 2016-03-16 11:28:27 # @Last Modified by: oesteban # @Last Modified time: 2016-04-04 13:50:50 """ Batch export freesurfer results to animated gifs """ from __future__ import absolute_import from __future__ import division from __future__ im...

39.810811

118

0.567549

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7,365

4.223037

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0.006944

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0.125

0.006944

0

null

0

null

0

1

0

b4366804d5c82535ca7d92caff9e07608cd7136b

10,751

py

Python

DE_DataBase.py

almirjgomes/DE_DataBaseConnect

2a369d77498c4c6c42b7447871472e5c4320b2ff

[ "MIT" ]

null

DE_DataBase.py

almirjgomes/DE_DataBaseConnect

2a369d77498c4c6c42b7447871472e5c4320b2ff

[ "MIT" ]

null

DE_DataBase.py

almirjgomes/DE_DataBaseConnect

2a369d77498c4c6c42b7447871472e5c4320b2ff

[ "MIT" ]

null

import os import sqlite3 as sq3 import cx_Oracle as ora import pandas as pd import psycopg2 as ps2 import mysql.connector as mysql import sqlalchemy # Reponsabilidades desta classe: # Apenas se conectar a uma das bases de dados abaixo especificadas # Bases conhecidas: SQLITE, ORACLE, MYSQL, POSTGRES class DATABASE: ...

40.878327

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0.474467

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10,751

4.799228

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0.111702

0

null

0

null

0

1

0

b4379f94d32e1eef87fdbc70ab371bde034c9874

1,735

py

Python

coretemp.py

InScene/dht22-mqtt-daemon

9a73715f4074f11222d1a6b263c12c897fadf0de

[ "MIT" ]

null

coretemp.py

InScene/dht22-mqtt-daemon

9a73715f4074f11222d1a6b263c12c897fadf0de

[ "MIT" ]

null

coretemp.py

InScene/dht22-mqtt-daemon

9a73715f4074f11222d1a6b263c12c897fadf0de

[ "MIT" ]

null

#!/usr/bin/env python2 import paho.mqtt.client as mqtt import time import Adafruit_DHT from configparser import ConfigParser import json config = ConfigParser(delimiters=('=', )) config.read('config.ini') sensor_type = config['sensor'].get('type', 'dht22').lower() if sensor_type == 'dht22': sensor = Adafruit_DH...

30.438596

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0.688184

221

1,735

5.303167

0.438914

0.051195

0.044369

0

0.027529

0.162536

1,735

56

80

30.982143

0.779078

0.057061

0

0.04878

0

0.205018

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1

0.02439

false

0.04878

0.121951

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0.146341

0.073171

0

null

0

null

0

1

0

b437d795dd924c40c4d023f3c55940133611431e

663

py

Python

mythril/support/support_utils.py

step21/mythril

d26a68e5473a57bd38091e1a5cad96a2b4e2c2ab

[ "MIT" ]

null

mythril/support/support_utils.py

step21/mythril

d26a68e5473a57bd38091e1a5cad96a2b4e2c2ab

[ "MIT" ]

21

2019-04-12T17:54:51.000Z

2021-11-04T18:47:45.000Z

mythril/support/support_utils.py

step21/mythril

d26a68e5473a57bd38091e1a5cad96a2b4e2c2ab

[ "MIT" ]

1

2021-09-06T03:14:58.000Z

"""This module contains utility functions for the Mythril support package.""" from typing import Dict class Singleton(type): """A metaclass type implementing the singleton pattern.""" _instances = {} # type: Dict def __call__(cls, *args, **kwargs): """Delegate the call to an existing resource o...

28.826087

81

0.627451

84

663

4.809524

0.630952

0.089109

0.111386

0

0.273002

663

22

82

30.136364

0.838174

0.475113

0

1

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0

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0.714286

0

null

0

null

0

1

0

b437ff845481fd16be2f8fc1d410e6c3c3a17c1d

554

py

Python

tests/functions/list/test_lists_map.py

sukovanej/mplisp

a3faf8c06936bcc5cde59899abf41a1b379090f5

[ "MIT" ]

null

tests/functions/list/test_lists_map.py

sukovanej/mplisp

a3faf8c06936bcc5cde59899abf41a1b379090f5

[ "MIT" ]

null

tests/functions/list/test_lists_map.py

sukovanej/mplisp

a3faf8c06936bcc5cde59899abf41a1b379090f5

[ "MIT" ]

null

import unittest import mplisp.evaluator as evaluator class TestListMap(unittest.TestCase): def map_test(self): input1 = """ (map (lambda (x) (* 2 x)) (list 1 2 3)) """ output1 = list(evaluator.evaluate(input1)) self.assertEqual(output1[0], [2, 4, 6]) def map_test_2(...

22.16

50

0.534296

71

554

4.126761

0.394366

0.040956

0.068259

0.075085

0.464164

0.382253

0

0.070681

0.310469

554

24

51

23.083333

0.696335

0

0.352941

0

0.283394

0

0.117647

1

0.117647

false

0

0.176471

0

0.352941

0

null

0

null

0

1

0

b4387eea371c6bde1ade7a6d0d94c1c04a7c6258

1,210

py

Python

malpickle/main.py

erose1337/malpickle

3c708426d5f5e33d3e232d77cbbfca0a955d6ebf

[ "MIT" ]

null

malpickle/main.py

erose1337/malpickle

3c708426d5f5e33d3e232d77cbbfca0a955d6ebf

[ "MIT" ]

null

malpickle/main.py

erose1337/malpickle

3c708426d5f5e33d3e232d77cbbfca0a955d6ebf

[ "MIT" ]

null

import argparse from __init__ import insert_code def main(): parser = argparse.ArgumentParser(description="Inject code into pickle files") parser.add_argument("pickle_file", help="The pickle file to inject code into") parser.add_argument("code_file", help="The shell script to inject") #parser.add_argu...

31.842105

121

0.680165

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1,210

4.737805

0.390244

0.11583

0.065637

0.048906

0

0.00516

0.199174

1,210

37

122

32.702703

0.796698

0.155372

0

0.128684

0

0.003929

0

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0.08

false

0

0.12

0

0.2

0

null

0

null

0

1

0

b43894ad3119624561e61e4cdbc634a63ac5df12

1,923

py

Python

src/redis_lock/django_cache.py

suligap/python-redis-lock

369e95bb5e26284ef0944e551f93d9f2596e5345

[ "BSD-2-Clause" ]

null

src/redis_lock/django_cache.py

suligap/python-redis-lock

369e95bb5e26284ef0944e551f93d9f2596e5345

[ "BSD-2-Clause" ]

null

src/redis_lock/django_cache.py

suligap/python-redis-lock

369e95bb5e26284ef0944e551f93d9f2596e5345

[ "BSD-2-Clause" ]

null

from django.core.cache.backends.base import DEFAULT_TIMEOUT from django_redis.cache import RedisCache as PlainRedisCache from redis_lock import Lock from redis_lock import reset_all class RedisCache(PlainRedisCache): @property def __client(self): try: return self.client.get_client() ...

33.155172

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0.123214

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0

0.327093

1,923

57

93

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0

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0.028571

0.4

0

null

0

null

0

1

0

b438f353825f2b371f64bd83071ca8831b7f58ce

3,510

py

Python

nets/facenet.py

QiongWang-l/llfr

00f62f03dd2964add1ff1b007292d06afff708f4

[ "MIT" ]

null

nets/facenet.py

QiongWang-l/llfr

00f62f03dd2964add1ff1b007292d06afff708f4

[ "MIT" ]

null

nets/facenet.py

QiongWang-l/llfr

00f62f03dd2964add1ff1b007292d06afff708f4

[ "MIT" ]

null

import torch import torch.nn as nn from torch.nn import functional as F from torchvision.models.utils import load_state_dict_from_url from nets.inception_resnetv1 import InceptionResnetV1 from nets.mobilenet import MobileNetV1 class mobilenet(nn.Module): def __init__(self, pretrained): super(mobilenet, s...

37.340426

189

0.61396

465

3,510

4.432258

0.249462

0.029112

0.069869

0.085395

0.440078

0.325085

0.320233

0.24163

0

0.026275

0.273504

3,510

93

190

37.741935

0.781961

0

0.304878

0

0.02439

0.098576

0

1

0.097561

false

0

0.073171

0

0.268293

0

null

0

null

0

1

0

b439fd956c9d132bc84b304fc1984cd145eb18b5

2,260

py

Python

minify/migrations/0004_auto__del_unique_urlminify_short_url__add_unique_urlminify_short_url_s.py

djsan15/url-minifier

00ff087dadc7e14015cc5640e135f8454afd11dc

[ "MIT" ]

null

minify/migrations/0004_auto__del_unique_urlminify_short_url__add_unique_urlminify_short_url_s.py

djsan15/url-minifier

00ff087dadc7e14015cc5640e135f8454afd11dc

[ "MIT" ]

null

minify/migrations/0004_auto__del_unique_urlminify_short_url__add_unique_urlminify_short_url_s.py

djsan15/url-minifier

00ff087dadc7e14015cc5640e135f8454afd11dc

[ "MIT" ]

null

# -*- coding: utf-8 -*- from south.utils import datetime_utils as datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Removing unique constraint on 'URLMinify', fields ['short_url'] db.dele...

52.55814

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0.615487

267

2,260

5.003745

0.235955

0.101796

0.083832

0.11976

0.700599

0.684132

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0

0.006494

0.182301

2,260

43

218

52.55814

0.71645

0.138496

0

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0.156025

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0

0.142857

0

0.321429

0

null

0

null

0

1

0

b43cafc5d4e3e3709f5f5f9476d5698dfa194510

1,182

py

Python

Validation/EcalRecHits/test/EcalTBValidationData_cfg.py

pasmuss/cmssw

566f40c323beef46134485a45ea53349f59ae534

[ "Apache-2.0" ]

null

Validation/EcalRecHits/test/EcalTBValidationData_cfg.py

pasmuss/cmssw

566f40c323beef46134485a45ea53349f59ae534

[ "Apache-2.0" ]

null

Validation/EcalRecHits/test/EcalTBValidationData_cfg.py

pasmuss/cmssw

566f40c323beef46134485a45ea53349f59ae534

[ "Apache-2.0" ]

null

import FWCore.ParameterSet.Config as cms process = cms.Process("h4ValidData") # initialize MessageLogger process.load("FWCore.MessageLogger.MessageLogger_cfi") process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) ) process.source = cms.Source("PoolSource", fileNames = cms.untracked.vstring...

36.9375

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0.756345

107

1,182

8.317757

0.523364

0.101124

0.057303

0

0.02488

0.115905

1,182

31

74

38.129032

0.826794

0.021151

0

0.266898

0.193241

0

1

0

false

0

0.04

0

0.04

0

null

0

null

0

1

0

b43dc0c04bfb765d1057fbf1d173d5c4374ca965

1,948

py

Python

database/domains.py

changyc9928/Genshin-Discord-Bot

be64481f43755c0031b469e79271ec7f0753cb0a

[ "MIT" ]

null

database/domains.py

changyc9928/Genshin-Discord-Bot

be64481f43755c0031b469e79271ec7f0753cb0a

[ "MIT" ]

null

database/domains.py

changyc9928/Genshin-Discord-Bot

be64481f43755c0031b469e79271ec7f0753cb0a

[ "MIT" ]

null

import asyncio from query_graphql import query_artifact_domains, query_weapon_materials_book class Domains: leylines = { "Blossom of Revelation": "Character EXP Materials", "Blossom of Wealth": "Mora" } weapon_domains = {} talent_domains = {} artifact_domains = {} trounce_doma...

34.785714

98

0.627823

199

1,948

6.025126

0.527638

0.070058

0.050042

0.040033

0.06005

0

0.001417

0.275667

1,948

55

99

35.418182

0.848335

0

0.39117

0

1

0

false

0

0.040816

0

0.183673

0

null

0

null

0

1

0

b43f15ecbdb1d9b59ec1324ee2719d330bd46baf

3,637

py

Python

src/app/drivers/pycolator/splitmerge.py

husensofteng/msstitch

a917ed24fbc8b018b3f2bbec31e852aa76cc715c

[ "MIT" ]

null

src/app/drivers/pycolator/splitmerge.py

husensofteng/msstitch

a917ed24fbc8b018b3f2bbec31e852aa76cc715c

[ "MIT" ]

null

src/app/drivers/pycolator/splitmerge.py

husensofteng/msstitch

a917ed24fbc8b018b3f2bbec31e852aa76cc715c

[ "MIT" ]

null

from app.drivers.pycolator import base from app.actions.pycolator import splitmerge as preparation from app.readers import pycolator as readers from app.drivers.options import pycolator_options class SplitDriver(base.PycolatorDriver): outfile = None def run(self): self.set_filter_types() for ...

36.37

79

0.668958

435

3,637

5.452874

0.344828

0.022766

0.023609

0.030354

0.180438

0.140809

0.095278

0

0.001081

0.236734

3,637

99

80

36.737374

0.853386

0.17157

0

0.230769

0

0.12026

0

1

0.184615

false

0

0.061538

0

0.430769

0

null

0

null

0

1

0

b4430cd61e95dcd15b900c13c175b1309fa0cc87

4,955

py

Python

src/workers/correct.py

brainsqueeze/Image_correction

db19088fb101ce760601416d19622d46d76f482c

[ "MIT" ]

10

2017-08-31T06:16:56.000Z

2022-03-12T19:44:50.000Z

src/workers/correct.py

brainsqueeze/Image_correction

db19088fb101ce760601416d19622d46d76f482c

[ "MIT" ]

2

2018-06-01T09:27:07.000Z

2018-07-23T01:43:16.000Z

src/workers/correct.py

brainsqueeze/Image_correction

db19088fb101ce760601416d19622d46d76f482c

[ "MIT" ]

3

2018-10-24T04:59:10.000Z

2021-09-03T10:37:35.000Z

# __author__ = 'Dave' import cv2 from skimage import io from skimage.transform import probabilistic_hough_line import matplotlib.pyplot as plt import os import warnings import random import numpy as np warnings.filterwarnings('ignore', category=RuntimeWarning) class CorrectImage(object): def __init__(self): ...

32.598684

105

0.559435

613

4,955

4.450245

0.327896

0.023094

0.016496

0.008798

0.157258

0.108504

0.089443

0.066716

0.032991

0

0.0263

0.332392

4,955

151

106

32.81457

0.798368

0.278507

0

0.121951

0

0.038029

0

0.001217

0

1

0.121951

false

0.012195

0.097561

0

0.292683

0

null

0

null

0

1

0

b443c0485b44fdad4aad919722875c535cf37d83

2,469

py

Python

plot_scripts/CC_timeline_plot.py

idunnam/Thesis

a567a25aa037c949de285158804a6ee396fc0e6c

[ "MIT" ]

null

plot_scripts/CC_timeline_plot.py

idunnam/Thesis

a567a25aa037c949de285158804a6ee396fc0e6c

[ "MIT" ]

1

2022-01-28T13:12:26.000Z

plot_scripts/CC_timeline_plot.py

idunnam/Thesis

a567a25aa037c949de285158804a6ee396fc0e6c

[ "MIT" ]

null

""" This code is used for plotting induvidual timelines of seasonal CC for each CMIP5 and CMIP6 model """ import matplotlib.pyplot as plt import xarray as xr import numpy as np import seaborn as sns import pandas as pd #=== Import SEB Anomalies ==== #from seasonal_SEB_components import * ACCESS = xr.open_dataset('/p...

46.584906

97

0.722155

425

2,469

4.042353

0.211765

0.038417

0.083236

0.134459

0.542491

0.518044

0.484284

0.188591

0.100116

0

0.088441

0.074929

2,469

52

98

47.480769

0.663748

0.068854

0

0.350087

0.209353

0

1

0

false

0

0.128205

0

0.128205

0

null

0

null

0

1

0

b444a932576d7caabe2a8eb3dc47c1e354d4d5e3

3,867

py

Python

scripts/prepare-kernel-headers.py

sonicyang/mctest

39c26c43e9fcf1fd94322effad4ca211d495339a

[ "BSD-2-Clause" ]

4

2017-05-22T07:05:33.000Z

2020-10-22T02:34:48.000Z

scripts/prepare-kernel-headers.py

sonicyang/mctest

39c26c43e9fcf1fd94322effad4ca211d495339a

[ "BSD-2-Clause" ]

null

scripts/prepare-kernel-headers.py

sonicyang/mctest

39c26c43e9fcf1fd94322effad4ca211d495339a

[ "BSD-2-Clause" ]

2

2020-02-19T13:23:16.000Z

2020-12-08T02:26:16.000Z

import os import subprocess import errno import shutil import re import sys kernel_path = '' install_path = '' patch_rules = [] arch = '' def mkdir_p(path): try: os.makedirs(path) except OSError as exc: if exc.errno == errno.EEXIST and os.path.isdir(path): pass else: ...

27.820144

82

0.60693

514

3,867

4.363813

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0.028087

0.046812

0.022737

0.188587

0.138654

0.094516

0.04815

0

0.005994

0.266615

3,867

138

83

28.021739

0.784908

0.143264

0

0.153846

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0.007246

0.010989

1

0.087912

false

0.010989

0.065934

0

0.21978

0

null

0

null

0

1

0

b446c92bc9ef0b8ec976811e71bda60bd2a8e30d

18,912

py

Python

model/loss.py

Daipuwei/YOLO-tf2

1b2e7133c99507573f419c8a367a8dba4abeae5b

[ "MIT" ]

null

model/loss.py

Daipuwei/YOLO-tf2

1b2e7133c99507573f419c8a367a8dba4abeae5b

[ "MIT" ]

null

model/loss.py

Daipuwei/YOLO-tf2

1b2e7133c99507573f419c8a367a8dba4abeae5b

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Time : 2021/9/18 下午11:19 # @Author : DaiPuWei # @Email : 771830171@qq.com # @File : loss.py # @Software: PyCharm """ 这是YOLO模型的损失函数的定义脚本，目前目标分类损失支持smooth Label; 目标定位损失支持均方差损失、GIOU Loss、DIOU Loss和CIOU Loss； """ import math import tensorflow as tf from tensorflow.keras import ...

46.239609

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0.519882

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18,912

3.673782

0.141361

0.038917

0.020719

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0.477856

0.450121

0.419645

0.372945

0.358036

0.329095

0

0.039161

0.264118

18,912

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124

46.239609

0.616297

0.273583

0

0.453744

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0.012783

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1

0.030837

false

0

0.013216

0

0.079295

0

null

0

null

0

1

0

b4470139b4eff5eadddd95183f7509c2d7a4cf79

59,405

py

Python

electrum_vtc/tests/test_lnpeer.py

samdisk11/electrum

4fffb4328a1764b5cd969b5c733e67bced2548a0

[ "MIT" ]

null

electrum_vtc/tests/test_lnpeer.py

samdisk11/electrum

4fffb4328a1764b5cd969b5c733e67bced2548a0

[ "MIT" ]

2

2022-01-11T17:19:40.000Z

2022-01-14T16:32:23.000Z

electrum_vtc/tests/test_lnpeer.py

samdisk11/electrum

4fffb4328a1764b5cd969b5c733e67bced2548a0

[ "MIT" ]

2

2022-01-13T05:04:16.000Z

2022-01-14T11:48:39.000Z

import asyncio import tempfile from decimal import Decimal import os from contextlib import contextmanager from collections import defaultdict import logging import concurrent from concurrent import futures import unittest from typing import Iterable, NamedTuple, Tuple, List, Dict from aiorpcx import TaskGroup, timeou...

46.775591

138

0.647908

7,195

59,405

5.064906

0.095761

0.025355

0.022227

0.014489

0.591131

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0.468278

0.447615

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0

0.020125

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1,269

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46.812451

0.806711

0.062486

0

0.426945

0

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0.008844

0

0.088235

1

0.05408

false

0.006641

0.038899

0.013283

0.16129

0.002846

0

null

0

null

0

1

0

b44863efc63447d4fc28f184aca9628762468a02

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py

Python

eth_tester/normalization/common.py

PabloLefort/eth-tester

9a795cff7da3916062884e9c1e690545741e60c5

[ "MIT" ]

215

2018-05-17T19:09:07.000Z

2021-03-05T18:10:15.000Z

eth_tester/normalization/common.py

PabloLefort/eth-tester

9a795cff7da3916062884e9c1e690545741e60c5

[ "MIT" ]

1

2021-03-25T21:51:01.000Z

eth_tester/normalization/common.py

PabloLefort/eth-tester

9a795cff7da3916062884e9c1e690545741e60c5

[ "MIT" ]

1

2019-02-27T21:29:16.000Z

from cytoolz.functoolz import ( curry, ) from eth_utils import ( to_dict, to_tuple, ) @curry @to_dict def normalize_dict(value, normalizers): for key, item in value.items(): normalizer = normalizers[key] yield key, normalizer(item) @curry @to_tuple def normalize_array(value, normali...

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py

Python

Incident-Response/Tools/grr/grr/client/grr_response_client/vfs_handlers/ntfs.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

1

2021-07-24T17:22:50.000Z

Incident-Response/Tools/grr/grr/client/grr_response_client/vfs_handlers/ntfs.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-28T03:40:31.000Z

2022-02-28T03:40:52.000Z

Incident-Response/Tools/grr/grr/client/grr_response_client/vfs_handlers/ntfs.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-25T08:34:51.000Z

2022-03-16T17:29:44.000Z

#!/usr/bin/env python """Virtual filesystem module based on pyfsntfs.""" import stat from typing import Any, Callable, Dict, Iterable, Optional, Text, Type import pyfsntfs from grr_response_client import client_utils from grr_response_client.vfs_handlers import base as vfs_base from grr_response_core.lib import rdfv...

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b4498ac05bf8ea7aa023efd2ecbb1bd7c7b56fb2

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py

Python

src/unicon/plugins/iosxe/cat9k/__init__.py

nielsvanhooy/unicon.plugins

3416fd8223f070cbb67a2cbe604e3c5d13584318

[ "Apache-2.0" ]

null

src/unicon/plugins/iosxe/cat9k/__init__.py

nielsvanhooy/unicon.plugins

3416fd8223f070cbb67a2cbe604e3c5d13584318

[ "Apache-2.0" ]

null

src/unicon/plugins/iosxe/cat9k/__init__.py

nielsvanhooy/unicon.plugins

3416fd8223f070cbb67a2cbe604e3c5d13584318

[ "Apache-2.0" ]

null

""" cat9k IOS-XE connection implementation. """ __author__ = "Rob Trotter <rlt@cisco.com>" from unicon.plugins.iosxe import ( IosXESingleRpConnection, IosXEDualRPConnection, IosXEServiceList, HAIosXEServiceList) from .statemachine import IosXECat9kSingleRpStateMachine, IosXECat9kDualRpStateMachine fr...

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null

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null

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b449d07b5e029400778e8d16d3a55f2ee36130ff

18,334

py

Python

midterm/yolo_utils.py

ClarkBrun/emotic

ea4c1d846ac8aa18a902c0e68fb6e5dc5e1ae2d1

[ "MIT" ]

null

midterm/yolo_utils.py

ClarkBrun/emotic

ea4c1d846ac8aa18a902c0e68fb6e5dc5e1ae2d1

[ "MIT" ]

null

midterm/yolo_utils.py

ClarkBrun/emotic

ea4c1d846ac8aa18a902c0e68fb6e5dc5e1ae2d1

[ "MIT" ]

null

import cv2 import numpy as np import os import torch import torch.nn as nn import torch.nn.functional as F def to_cpu(tensor): return tensor.detach().cpu() def xywh2xyxy(x): ''' Convert bounding box from [x, y, w, h] to [x1, y1, x2, y2] :param x: bounding boxes array :return: Converted bounding box array '...

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null

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null

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0

b44ac7b8e26906825e3b89cdfb277cf731bbe790

5,557

py

Python

pytracking-master/ltr/train_settings/bbreg/atom.py

wsumel/AMMC

ef101878b4a97f07984186ea09146348c0526fa6

[ "Apache-2.0" ]

3

2021-12-02T11:34:37.000Z

2021-12-19T09:30:10.000Z

pytracking-master/ltr/train_settings/bbreg/atom.py

wsumel/AMMC

ef101878b4a97f07984186ea09146348c0526fa6

[ "Apache-2.0" ]

null

pytracking-master/ltr/train_settings/bbreg/atom.py

wsumel/AMMC

ef101878b4a97f07984186ea09146348c0526fa6

[ "Apache-2.0" ]

null

import torch.nn as nn import torch.optim as optim from ltr.dataset import Lasot, TrackingNet, MSCOCOSeq, Got10k from ltr.data import processing, sampler, LTRLoader import ltr.models.bbreg.atom as atom_models from ltr import actors from ltr.trainers import LTRTrainer import ltr.data.transforms as tfm def run(settings)...

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0

null

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null

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1

0

b44b2dc4ce40901657329bbb40489909361c416f

281

py

Python

exercise 8.6.py

tuyanyang/python_exercise

c1027c2451d7f3c0fd00152a5430386d930ef9ef

[ "Apache-2.0" ]

null

exercise 8.6.py

tuyanyang/python_exercise

c1027c2451d7f3c0fd00152a5430386d930ef9ef

[ "Apache-2.0" ]

null

exercise 8.6.py

tuyanyang/python_exercise

c1027c2451d7f3c0fd00152a5430386d930ef9ef

[ "Apache-2.0" ]

null

nums = list() while True: nStr = input('Enter a number: ') try: if nStr == 'done': break n = float(nStr) nums.append(n) except: print('Invalid input') continue print('Maximum: ',max(nums)) print('Minimum: ',min(nums))

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null

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b44cdf1520f9983049c66891c92f13dc5a062fff

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py

Python

gui/activity_list.py

keremkoseoglu/Kifu

bed7a15f71e2345c654b1adab07a5edecdbae342

[ "MIT" ]

null

gui/activity_list.py

keremkoseoglu/Kifu

bed7a15f71e2345c654b1adab07a5edecdbae342

[ "MIT" ]

82

2020-06-25T09:45:01.000Z

2022-03-31T09:35:31.000Z

gui/activity_list.py

keremkoseoglu/Kifu

bed7a15f71e2345c654b1adab07a5edecdbae342

[ "MIT" ]

null

""" Activity list window """ import tkinter import tkinter.ttk from model import activity, invoice from model.activity import Activity from model.company import Company from gui.activity import ActivityWindow from gui.activity_split import ActivitySplit from gui.invoice import InvoiceWindow from gui.popup_file import p...

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null

0

1

0

b44e0121e131edfd41c92b9e516f42e320c6b70f

3,551

py

Python

src/cactus/shared/commonTest.py

thiagogenez/cactus

910234eb8bafca33e6a219079c8d988b6f43bc59

[ "MIT-0" ]

209

2016-11-12T14:16:50.000Z

2022-03-30T04:44:11.000Z

src/cactus/shared/commonTest.py

thiagogenez/cactus

910234eb8bafca33e6a219079c8d988b6f43bc59

[ "MIT-0" ]

468

2016-11-06T01:16:43.000Z

2022-03-31T16:24:37.000Z

src/cactus/shared/commonTest.py

thiagogenez/cactus

910234eb8bafca33e6a219079c8d988b6f43bc59

[ "MIT-0" ]

75

2017-03-09T22:19:27.000Z

2022-03-14T22:03:33.000Z

import os import shutil import unittest from base64 import b64encode from sonLib.bioio import TestStatus from sonLib.bioio import getTempFile from sonLib.bioio import getTempDirectory from sonLib.bioio import system from toil.job import Job from toil.common import Toil from cactus.shared.common import cactus_call, Chi...

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0

null

0

null

0

1

0

b44e0a41d16e0ba8bfc1be48250cce3e7506e1d1

7,185

py

Python

porespy/networks/__getnet__.py

hfathian/porespy

8747e675ba8e6410d8448492c70f6911e0eb816a

[ "MIT" ]

3

2020-09-02T20:02:55.000Z

2021-07-09T03:50:49.000Z

porespy/networks/__getnet__.py

hfathian/porespy

8747e675ba8e6410d8448492c70f6911e0eb816a

[ "MIT" ]

null

porespy/networks/__getnet__.py

hfathian/porespy

8747e675ba8e6410d8448492c70f6911e0eb816a

[ "MIT" ]

null

import sys import numpy as np import openpnm as op from tqdm import tqdm import scipy.ndimage as spim from porespy.tools import extend_slice import openpnm.models.geometry as op_gm def regions_to_network(im, dt=None, voxel_size=1): r""" Analyzes an image that has been partitioned into pore regions and extract...

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b44f498d26d9dd58f69d6d12b6ff289ae252ed43

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py

Python

examples/exp_example.py

physimals/avb

16663a935de35e4042c77000ea47abd7e5cd16ad

[ "Apache-2.0" ]

null

examples/exp_example.py

physimals/avb

16663a935de35e4042c77000ea47abd7e5cd16ad

[ "Apache-2.0" ]

null

examples/exp_example.py

physimals/avb

16663a935de35e4042c77000ea47abd7e5cd16ad

[ "Apache-2.0" ]

null

""" Example of usage of the AVB framework to infer a single exponential decay model. This uses the Python classes directly to infer the parameters for a single instance of noisy data constructed as a Numpy array. """ import sys import logging import numpy as np from vaby_avb import Avb import vaby # Uncomment line ...

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b45067ac1c187f969ca36977c34f99d5b3112b27

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py

Python

aws_marketplace/creating_marketplace_products/src/training_specification.py

jerrypeng7773/amazon-sagemaker-examples

c5ddecce1f739a345465b9a38b064983a129141d

[ "Apache-2.0" ]

2,610

2020-10-01T14:14:53.000Z

2022-03-31T18:02:31.000Z

aws_marketplace/creating_marketplace_products/src/training_specification.py

jerrypeng7773/amazon-sagemaker-examples

c5ddecce1f739a345465b9a38b064983a129141d

[ "Apache-2.0" ]

1,959

2020-09-30T20:22:42.000Z

2022-03-31T23:58:37.000Z

aws_marketplace/creating_marketplace_products/src/training_specification.py

jerrypeng7773/amazon-sagemaker-examples

c5ddecce1f739a345465b9a38b064983a129141d

[ "Apache-2.0" ]

2,052

2020-09-30T22:11:46.000Z

2022-03-31T23:02:51.000Z

import json class TrainingSpecification: template = """ { "TrainingSpecification": { "TrainingImage": "IMAGE_REPLACE_ME", "SupportedHyperParameters": [ { "Description": "Grow a tree with max_leaf_nodes in best-first fashion. Best nodes are defined as relative reduction in impu...

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