xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

240a3bdc1d5c63b91d07d527be155ad771e6c02e

7,097

py

Python

backend/fms_core/services/container.py

c3g/freezeman

bc4b6c8a2876e888ce41b7d14127cc22bc2b2143

[ "W3C" ]

2

2021-07-31T13:20:08.000Z

2021-09-28T13:18:55.000Z

backend/fms_core/services/container.py

c3g/freezeman

bc4b6c8a2876e888ce41b7d14127cc22bc2b2143

[ "W3C" ]

71

2021-03-12T22:08:19.000Z

2022-03-25T15:24:40.000Z

backend/fms_core/services/container.py

c3g/freezeman

bc4b6c8a2876e888ce41b7d14127cc22bc2b2143

[ "W3C" ]

null

from datetime import datetime from django.core.exceptions import ValidationError from fms_core.models import Container from ..containers import CONTAINER_KIND_SPECS def get_container(barcode): container = None errors = [] warnings = [] if barcode: try: container = Container.object...

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240a907bd2e16d0aa3aa271652ece1375536949a

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py

Python

task_09/task.py

prashnts/advent-of-code--2021

315fcf470c8c1260057aeafa6d2c42f4c0f74f3f

[ "MIT" ]

null

task_09/task.py

prashnts/advent-of-code--2021

315fcf470c8c1260057aeafa6d2c42f4c0f74f3f

[ "MIT" ]

null

task_09/task.py

prashnts/advent-of-code--2021

315fcf470c8c1260057aeafa6d2c42f4c0f74f3f

[ "MIT" ]

null

import os from functools import reduce __here__ = os.path.dirname(__file__) TEST_DATA = '''\ 2199943210 3987894921 9856789892 8767896789 9899965678\ ''' def gen_neighbors(array, x, y): '''Generated points in north, south, east, and west directions. On edges only valid points are generated. ''' dir...

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240b42fee6717a7b90d0b1207b8b05b2c8fb6f5b

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py

Python

setup.py

dotpy/step

03a5fa3e2ef35675b6729a00a4752b0c703ee243

[ "BSD-3-Clause" ]

13

2016-06-29T21:19:45.000Z

2021-12-26T20:36:05.000Z

setup.py

dotpy/step

03a5fa3e2ef35675b6729a00a4752b0c703ee243

[ "BSD-3-Clause" ]

3

2015-03-19T22:21:27.000Z

2019-10-10T23:03:45.000Z

setup.py

dotpy/step

03a5fa3e2ef35675b6729a00a4752b0c703ee243

[ "BSD-3-Clause" ]

3

2018-03-27T14:27:31.000Z

2020-08-07T08:23:08.000Z

#!/usr/bin/env python """ This is the installation script of the step module, a light and fast template engine. You can run it by typing: python setup.py install You can also run the test suite by running: python setup.py test """ import sys from distutils.core import setup from step.tests import TestCommand...

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2410cb663e809f3a2cfff7eb2a2ab513d0a3a843

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py

Python

oops_fhir/r4/code_system/effect_estimate_type.py

Mikuana/oops_fhir

77963315d123756b7d21ae881f433778096a1d25

[ "MIT" ]

null

oops_fhir/r4/code_system/effect_estimate_type.py

Mikuana/oops_fhir

77963315d123756b7d21ae881f433778096a1d25

[ "MIT" ]

null

oops_fhir/r4/code_system/effect_estimate_type.py

Mikuana/oops_fhir

77963315d123756b7d21ae881f433778096a1d25

[ "MIT" ]

null

from pathlib import Path from fhir.resources.codesystem import CodeSystem from oops_fhir.utils import CodeSystemConcept __all__ = ["EffectEstimateType"] _resource = CodeSystem.parse_file(Path(__file__).with_suffix(".json")) class EffectEstimateType: """ EffectEstimateType Whether the effect estimate...

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null

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24149d63fd46dabd5d16d77a5fa8be1e85e8bdf1

1,361

py

Python

about/tests/test_views.py

IMegaMaan/Django-project

7ebe62aacf972410299f92183c6c9e23cd837fe7

[ "BSD-3-Clause" ]

null

about/tests/test_views.py

IMegaMaan/Django-project

7ebe62aacf972410299f92183c6c9e23cd837fe7

[ "BSD-3-Clause" ]

null

about/tests/test_views.py

IMegaMaan/Django-project

7ebe62aacf972410299f92183c6c9e23cd837fe7

[ "BSD-3-Clause" ]

null

from django.test import TestCase, Client from django.urls import reverse class TaskAboutViewsTests(TestCase): def setUp(self): self.guest_client = Client() @classmethod def setUpClass(cls): super().setUpClass() cls.about_views = { 'about:author': 'author.html', ...

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2415ff143543c2ce9970a39f3d80f9c3542308d9

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py

Python

library/verification/token.py

LongmaoTeamTf/audio_aligner_app

899c27a6ce5b74ec728d70acaa2a9861f8fd7b92

[ "MIT" ]

5

2020-01-19T07:27:31.000Z

2021-03-31T05:56:07.000Z

library/verification/token.py

LongmaoTeamTf/audio_aligner_app

899c27a6ce5b74ec728d70acaa2a9861f8fd7b92

[ "MIT" ]

3

2021-06-02T00:55:11.000Z

2022-03-12T12:11:08.000Z

library/verification/token.py

LongmaoTeamTf/audio_aligner_app

899c27a6ce5b74ec728d70acaa2a9861f8fd7b92

[ "MIT" ]

2

2020-03-17T07:10:48.000Z

2022-01-12T10:13:11.000Z

""" user token @version: v1.0.1 @Company: Thefair @Author: Wang Yao @Date: 2019-11-17 15:21:11 @LastEditors: Wang Yao @LastEditTime: 2019-11-17 21:17:19 """ from functools import wraps from flask import request from itsdangerous import TimedJSONWebSignatureSerializer as Serializer, BadData from library.response.tfexcep...

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2418e136a99b83121805fd21e003e44836c184cf

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py

Python

service/artifacts_unittest.py

khromiumos/chromiumos-chromite

a42a85481cdd9d635dc40a04585e427f89f3bb3f

[ "BSD-3-Clause" ]

null

service/artifacts_unittest.py

khromiumos/chromiumos-chromite

a42a85481cdd9d635dc40a04585e427f89f3bb3f

[ "BSD-3-Clause" ]

2

2021-03-26T00:29:32.000Z

2021-04-30T21:29:33.000Z

service/artifacts_unittest.py

khromiumos/chromiumos-chromite

a42a85481cdd9d635dc40a04585e427f89f3bb3f

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Copyright 2019 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Artifacts service tests.""" from __future__ import print_function import json import os import shutil import mock from chro...

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2418e436d32c1b1dc432e02916a5cc98bd2b5e5f

8,044

py

Python

src/lfw.py

LiuNull/dynamic_face_recognition

85b057e64a088fb6def28a3650218e8d6dc069cb

[ "MIT" ]

null

src/lfw.py

LiuNull/dynamic_face_recognition

85b057e64a088fb6def28a3650218e8d6dc069cb

[ "MIT" ]

null

src/lfw.py

LiuNull/dynamic_face_recognition

85b057e64a088fb6def28a3650218e8d6dc069cb

[ "MIT" ]

null

"""Helper for evaluation on the Labeled Faces in the Wild dataset """ # MIT License # # Copyright (c) 2016 David Sandberg # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software withou...

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241af3ee55d444a940c6be41db409a26214a6a55

3,587

py

Python

nzarttrainer.py

richwalm/nzarttrainer

82c020172106be871771c78675a58f71b0169b17

[ "0BSD" ]

2

2019-04-19T02:26:57.000Z

2021-06-22T13:19:57.000Z

nzarttrainer.py

richwalm/nzaarttrainer

82c020172106be871771c78675a58f71b0169b17

[ "0BSD" ]

2

2019-04-10T22:44:59.000Z

2020-04-06T23:30:33.000Z

nzarttrainer.py

richwalm/nzaarttrainer

82c020172106be871771c78675a58f71b0169b17

[ "0BSD" ]

3

2019-04-24T23:26:59.000Z

2020-04-10T11:38:01.000Z

#!/usr/bin/env python3 # NZART Exam Trainer # Written by Richard Walmsley <richwalm+nzarttrainer@gmail.com> (ZL1RSW) from flask import Flask, request, render_template, redirect, url_for, Response, abort import random import string import json import sys app = Flask(__name__, static_folder = 's') # Constants. Neede...

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null

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241ca7dfdf71434c66d3f603fa5f2372d432d554

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py

Python

setup.py

michelp/cxxheaderparser

83bb2903790cf448bf838cdb8a93ca96e758bd1a

[ "BSD-3-Clause" ]

12

2020-12-28T09:40:53.000Z

2022-03-13T15:36:21.000Z

setup.py

michelp/cxxheaderparser

83bb2903790cf448bf838cdb8a93ca96e758bd1a

[ "BSD-3-Clause" ]

28

2021-01-04T14:58:59.000Z

2022-01-03T03:00:16.000Z

setup.py

michelp/cxxheaderparser

83bb2903790cf448bf838cdb8a93ca96e758bd1a

[ "BSD-3-Clause" ]

1

2021-11-06T03:44:53.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function from os.path import dirname, exists, join import sys, subprocess from setuptools import find_packages, setup setup_dir = dirname(__file__) git_dir = join(setup_dir, ".git") version_file = join(setup_dir, "cxxheaderparser", "version....

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2421fe0c328d6bbf457b874ac44ade8749c82265

371

py

Python

Message Bomber/Message Bomber with Random Words.py

SaiAshish-Konchada/Python-Projects-for-Beginners

bce0a705b636a1090b56f59205c6acb94ab2e54a

[ "MIT" ]

5

2021-01-19T18:32:13.000Z

2021-05-03T05:19:11.000Z

Message Bomber/Message Bomber with Random Words.py

SaiAshish-Konchada/Python-Projects-for-Beginners

bce0a705b636a1090b56f59205c6acb94ab2e54a

[ "MIT" ]

null

Message Bomber/Message Bomber with Random Words.py

SaiAshish-Konchada/Python-Projects-for-Beginners

bce0a705b636a1090b56f59205c6acb94ab2e54a

[ "MIT" ]

2

2021-05-22T13:35:51.000Z

2021-08-31T07:05:32.000Z

# importing the required libraries import pyautogui, time # delay to switch windows time.sleep(5) #setting count to 5 count = 5 # loop to spam while count >= 1: # fetch and type each word from the file pyautogui.write('Random Annoying Spam Words') # press enter to send the message pyautogui.press('ente...

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24236339afd01ee7c1bc2adc58b3562319b17c37

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py

Python

wrappers/tensorflow/tools/convert_to_bag.py

NobuoTsukamoto/librealsense

bc0910f8ba3c33307ff247a29dd2b9e9ef1b269d

[ "Apache-2.0" ]

6,457

2016-01-21T03:56:07.000Z

2022-03-31T11:57:15.000Z

wrappers/tensorflow/tools/convert_to_bag.py

NobuoTsukamoto/librealsense

bc0910f8ba3c33307ff247a29dd2b9e9ef1b269d

[ "Apache-2.0" ]

8,393

2016-01-21T09:47:28.000Z

2022-03-31T22:21:42.000Z

wrappers/tensorflow/tools/convert_to_bag.py

NobuoTsukamoto/librealsense

bc0910f8ba3c33307ff247a29dd2b9e9ef1b269d

[ "Apache-2.0" ]

4,874

2016-01-21T09:20:08.000Z

2022-03-31T15:18:00.000Z

import numpy as np import cv2 import pyrealsense2 as rs import time, sys, glob focal = 0.0021 baseline = 0.08 sd = rs.software_device() depth_sensor = sd.add_sensor("Depth") intr = rs.intrinsics() intr.width = 848 intr.height = 480 intr.ppx = 637.951293945312 intr.ppy = 360.783233642578 intr.fx = 638.864135742188 in...

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2424352a464760abcf3b0b917902ab3292e94368

1,043

py

Python

src/experiments/eval_minimal.py

peldszus/evidencegraph

1720b74d801e738d08996f22e8be676114426408

[ "MIT" ]

3

2019-07-31T14:48:59.000Z

2021-09-01T07:26:15.000Z

src/experiments/eval_minimal.py

peldszus/evidencegraph

1720b74d801e738d08996f22e8be676114426408

[ "MIT" ]

7

2019-07-30T23:22:15.000Z

2021-05-22T14:11:02.000Z

src/experiments/eval_minimal.py

peldszus/evidencegraph

1720b74d801e738d08996f22e8be676114426408

[ "MIT" ]

1

2019-09-16T07:23:04.000Z

from argparse import ArgumentParser from evidencegraph.argtree import RELATION_SETS_BY_NAME from evidencegraph.corpus import CORPORA from evidencegraph.evaluation import evaluate_setting if __name__ == "__main__": parser = ArgumentParser( description="""Evaluate argumentation parsing predictions""" )...

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2425800f04602f6f58d2c94bce88633d9eebc37c

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py

Python

classifier/hist_classifier.py

adalrsjr1/smart-tuning

d8cb9f4ba41e7c068eda75b0fb581dcc8f329064

[ "MIT" ]

1

2021-10-04T18:02:55.000Z

classifier/hist_classifier.py

adalrsjr1/smart-tuning

d8cb9f4ba41e7c068eda75b0fb581dcc8f329064

[ "MIT" ]

null

classifier/hist_classifier.py

adalrsjr1/smart-tuning

d8cb9f4ba41e7c068eda75b0fb581dcc8f329064

[ "MIT" ]

null

from common.dataaccess import MongoAccessLayer from common.timeutil import now import numpy as np import os import sys from classifier import workload_comparision as wc # data = [] # data.append({'metric': metric, 'mean': query_mean[0], 'std': query_std[0]}) # data = { # 'metrics': {'n_samples': QUERY_STE...

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2426476d2dec7acfd35014f0a631024c226cd418

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py

Python

tests/test_cc_oop.py

J08nY/sec-certs

d25a4a7c830c587a45eb8e37d99f8794dec1a5eb

[ "MIT" ]

null

tests/test_cc_oop.py

J08nY/sec-certs

d25a4a7c830c587a45eb8e37d99f8794dec1a5eb

[ "MIT" ]

null

tests/test_cc_oop.py

J08nY/sec-certs

d25a4a7c830c587a45eb8e37d99f8794dec1a5eb

[ "MIT" ]

null

import filecmp import os import shutil import tempfile from datetime import date, datetime from pathlib import Path from tempfile import NamedTemporaryFile, TemporaryDirectory from unittest import TestCase import sec_certs.constants as constants import sec_certs.helpers as helpers from sec_certs.dataset.common_criteri...

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null

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24287f31ba2a1965f69b8b89ba6e4fe27f5a9ecc

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py

Python

mountdisplay/clean.py

Smytten/Tangible_NFT_Thesis

50e6b43c85ec2836b3628015eac1f1389de4a261

[ "MIT", "Unlicense" ]

1

2022-03-25T20:39:31.000Z

mountdisplay/clean.py

Smytten/Tangible_NFT_Thesis

50e6b43c85ec2836b3628015eac1f1389de4a261

[ "MIT", "Unlicense" ]

null

mountdisplay/clean.py

Smytten/Tangible_NFT_Thesis

50e6b43c85ec2836b3628015eac1f1389de4a261

[ "MIT", "Unlicense" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import inkyphat import time import sys print("""Inky pHAT: Clean Displays solid blocks of red, black, and white to clean the Inky pHAT display of any screen burn. """.format(sys.argv[0])) if len(sys.argv) < 2: print("""Usage: {} <colour> <number of cycles> V...

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0

null

0

null

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1

0

242ab6a7517cb79f3a010784bb05fa1bc62077cb

1,507

py

Python

project1/scoper-beginner.py

swtornio/pytools

40fa88fa754419b47f71d8f1043f266c9a308f74

[ "BSD-3-Clause" ]

null

project1/scoper-beginner.py

swtornio/pytools

40fa88fa754419b47f71d8f1043f266c9a308f74

[ "BSD-3-Clause" ]

null

project1/scoper-beginner.py

swtornio/pytools

40fa88fa754419b47f71d8f1043f266c9a308f74

[ "BSD-3-Clause" ]

null

# Project 1 - The Scope! # Scenario: Congrats, your Penetration testing company Red Planet has # landed an external assessment for Microsoft! Your point of contact has # give you a few IP addresses for you to test. Like with any test you # should always verify the scope given to you to make sure there wasn't # a mista...

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null

0

null

0

1

0

242e68ec4abda02a1ff36b6149be9f598d440417

4,408

py

Python

full_feature_version/bot/orchestrator.py

inevitablepc/RedditKarmaBot

1716e092f662e379995b28d26881ea33ea40000e

[ "MIT" ]

7

2020-06-24T11:36:31.000Z

2021-11-02T05:44:50.000Z

full_feature_version/bot/orchestrator.py

inevitablepc/RedditKarmaBot

1716e092f662e379995b28d26881ea33ea40000e

[ "MIT" ]

null

full_feature_version/bot/orchestrator.py

inevitablepc/RedditKarmaBot

1716e092f662e379995b28d26881ea33ea40000e

[ "MIT" ]

7

2020-04-05T22:49:11.000Z

2021-12-25T09:22:24.000Z

import itertools import logging import random from collections import defaultdict from concurrent.futures import wait from concurrent.futures.thread import ThreadPoolExecutor from bot import RedditBot from utils import rand_wait_min, rand_wait_sec class BotOrchestrator: def __init__(self, all_credentials: dict, ...

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null

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null

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0

242e831fbeee71641da2d329c6f5ad06e8482bc8

10,476

py

Python

urdf2casadi/numpy_geom.py

ultrainren/urdf2casadi

42318720c2922977e7d57fa638ebf5ad1c092dd6

[ "MIT" ]

1

2020-03-30T10:26:31.000Z

urdf2casadi/numpy_geom.py

ultrainren/urdf2casadi

42318720c2922977e7d57fa638ebf5ad1c092dd6

[ "MIT" ]

null

urdf2casadi/numpy_geom.py

ultrainren/urdf2casadi

42318720c2922977e7d57fa638ebf5ad1c092dd6

[ "MIT" ]

null

import numpy as np def normalize(v): nv = np.linalg.norm(v) if nv > 0.0: v[0] = v[0]/nv v[1] = v[1]/nv v[2] = v[2]/nv return v def skew_symmetric(v): """Returns a skew symmetric matrix from vector. p q r""" return np.array([[0, -v[2], v[1]], [v[2], 0,...

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null

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null

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242e9c8ba99915ee2b252e978052c11b8a27fd13

3,363

py

Python

2. Using Python to Interact with the Operating System/Week-7.py

indahpuspitaa17/IT-Automation-with-Python

f872324b25741769506cc8ef28b5176fb9fa8997

[ "MIT" ]

null

2. Using Python to Interact with the Operating System/Week-7.py

indahpuspitaa17/IT-Automation-with-Python

f872324b25741769506cc8ef28b5176fb9fa8997

[ "MIT" ]

null

2. Using Python to Interact with the Operating System/Week-7.py

indahpuspitaa17/IT-Automation-with-Python

f872324b25741769506cc8ef28b5176fb9fa8997

[ "MIT" ]

null

#!/usr/bin/env python3 import os import re import sys import operator import csv error_counter = {} error_user = {} info_user = {} #This function will read each line of the syslog.log file and check if it is an error or an info message. def search_file(): with open('syslog.log', "r") as myfile: for line in ...

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null

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null

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242f6533a1559e482c850161d329f84507d8bdcb

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py

Python

twitter/envs/corpus.py

Ra-Ni/Twitter-Language-Identifier

95e28cc8b0cc7b2acd96f240134649a9e601bca7

[ "MIT" ]

null

twitter/envs/corpus.py

Ra-Ni/Twitter-Language-Identifier

95e28cc8b0cc7b2acd96f240134649a9e601bca7

[ "MIT" ]

null

twitter/envs/corpus.py

Ra-Ni/Twitter-Language-Identifier

95e28cc8b0cc7b2acd96f240134649a9e601bca7

[ "MIT" ]

null

from math import log10 from itertools import tee class Corpus: __global_corpus_frequency = 0.0 def __init__(self, size, depth, smoothing_value, label): self.depth = depth self.size = size self.smoothing_value = smoothing_value self.label = label self.frequencies = {}...

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null

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null

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0

242f6cf35d21cd6a48c92a34883a88441a76c341

16,117

py

Python

eex/translators/amber/amber_write.py

dgasmith/EEX

7608c9ef25931040524c75d227f0bee18de9ddc1

[ "BSD-3-Clause" ]

null

eex/translators/amber/amber_write.py

dgasmith/EEX

7608c9ef25931040524c75d227f0bee18de9ddc1

[ "BSD-3-Clause" ]

null

eex/translators/amber/amber_write.py

dgasmith/EEX

7608c9ef25931040524c75d227f0bee18de9ddc1

[ "BSD-3-Clause" ]

null

""" Writer for amber """ import time import pandas as pd import math import re import numpy as np from collections import Counter # Python 2/3 compat try: from StringIO import StringIO except ImportError: from io import StringIO import eex import logging # AMBER local imports from . import amber_metadata a...

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null

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null

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1

0

24324bad9563b1de125f14982150d0bec0525c6c

7,085

py

Python

src/main.py

Mirris/ShiftManager1.1

6b3c1c76c8f66295053b1cf9f1187e57429cdd0b

[ "MIT" ]

null

src/main.py

Mirris/ShiftManager1.1

6b3c1c76c8f66295053b1cf9f1187e57429cdd0b

[ "MIT" ]

null

src/main.py

Mirris/ShiftManager1.1

6b3c1c76c8f66295053b1cf9f1187e57429cdd0b

[ "MIT" ]

null

from helpers.Logger import Logger from calendar import Calendar from employee import Employee import json import sys import prettytable import os import time import re # Logger setup logging = Logger() log = logging.realm('Shift Manager') def main(): # 1] Load Configuration file with open('../data/konfigurac...

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0

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null

0

null

0

1

0

243302a8c8d74b6cc33c63504e8000d21f2d83c2

13,792

py

Python

polyphemus/utils.py

Xarthisius/polyphemus

3ae6cb9ff312d90478d8a294681bd898b7f45b1c

[ "BSD-2-Clause" ]

null

polyphemus/utils.py

Xarthisius/polyphemus

3ae6cb9ff312d90478d8a294681bd898b7f45b1c

[ "BSD-2-Clause" ]

null

polyphemus/utils.py

Xarthisius/polyphemus

3ae6cb9ff312d90478d8a294681bd898b7f45b1c

[ "BSD-2-Clause" ]

null

"""Helpers for polyphemus. Utilities API ============= """ from __future__ import print_function import os import io import re import sys import glob import tempfile import functools import subprocess from copy import deepcopy from pprint import pformat from collections import Mapping, Iterable, Hashable, Sequence, na...

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0

null

0

null

0

1

0

24334f8a7788ca759e3c468b57d76d5b40d43699

6,698

py

Python

taxscrape.py

gehilley/KMESTaxScrape

1cf85049b6d2a5fbd532107fbe44f61197ac3263

[ "MIT" ]

null

taxscrape.py

gehilley/KMESTaxScrape

1cf85049b6d2a5fbd532107fbe44f61197ac3263

[ "MIT" ]

null

taxscrape.py

gehilley/KMESTaxScrape

1cf85049b6d2a5fbd532107fbe44f61197ac3263

[ "MIT" ]

null

output_filename = 'kings_mountain_taxes.csv' output_pfilename = 'kmes_taxes.p' base_url = "https://gis.smcgov.org/maps/rest/services/WEBAPPS/COUNTY_SAN_MATEO_TKNS/MapServer/identify" token = "fytmg9tR2rSx-1Yp0SWJ_qkAExGi-ftZoK7h4wk91UY." polygon = [(-13622312.48,4506393.674), (-13622866.64,4504129.241), ...

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0.054745

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0.013514

0

null

0

null

0

1

0

24377195af086d2d9b533b86147cc02d046d8a1c

2,263

py

Python

tests/test_arraycoords_core.py

sakshamsingh1/micarraylib

e3a87a1ee55dce50ce33d0dfa23e266b733de535

[ "CC-BY-4.0" ]

11

2021-11-14T19:33:33.000Z

2022-03-17T20:38:27.000Z

tests/test_arraycoords_core.py

sakshamsingh1/micarraylib

e3a87a1ee55dce50ce33d0dfa23e266b733de535

[ "CC-BY-4.0" ]

7

2022-01-17T17:50:49.000Z

2022-03-31T14:42:34.000Z

tests/test_arraycoords_core.py

sakshamsingh1/micarraylib

e3a87a1ee55dce50ce33d0dfa23e266b733de535

[ "CC-BY-4.0" ]

4

2021-11-16T14:05:11.000Z

2022-03-23T00:35:00.000Z

from micarraylib.arraycoords.core import micarray from micarraylib.arraycoords import array_shapes_raw from micarraylib.arraycoords.array_shapes_utils import _polar2cart import pytest import numpy as np def test_micarray_init(): arr = micarray(array_shapes_raw.cube2l_raw, "cartesian", None, "foo") assert arr...

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null

0

null

0

1

0

24395c699d46f97162aa14777bf15b0856cae6e4

491

py

Python

Math/Leetcode5839.py

Rylie-W/LeetRecord

623c4efe88b3af54b8a65f6ec23db850b8c6f46f

[ "Apache-2.0" ]

null

Math/Leetcode5839.py

Rylie-W/LeetRecord

623c4efe88b3af54b8a65f6ec23db850b8c6f46f

[ "Apache-2.0" ]

null

Math/Leetcode5839.py

Rylie-W/LeetRecord

623c4efe88b3af54b8a65f6ec23db850b8c6f46f

[ "Apache-2.0" ]

null

import math import heapq class Solution: def minStoneSum(self, piles, k: int) -> int: q=list() for i in piles: heapq.heappush(q,i) while k: c=q[-1] q.pop() c=c-math.floor(c/2) heapq.heappush(q,c) k-=1 res=0 ...

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null

0

null

0

1

0

243e4ebb71651a1947d9bfa01a4d3102ca1fdc2f

5,115

py

Python

kcwidrp/primitives/SubtractSky.py

scizen9/KCWI_DRP

1d82ee4f82be491628d6baa555401c18aa0472a2

[ "BSD-3-Clause" ]

5

2020-04-09T20:05:52.000Z

2021-08-04T18:04:28.000Z

kcwidrp/primitives/SubtractSky.py

scizen9/KCWI_DRP

1d82ee4f82be491628d6baa555401c18aa0472a2

[ "BSD-3-Clause" ]

80

2020-03-19T00:35:27.000Z

2022-03-07T20:08:23.000Z

kcwidrp/primitives/SubtractSky.py

scizen9/KCWI_DRP

1d82ee4f82be491628d6baa555401c18aa0472a2

[ "BSD-3-Clause" ]

9

2021-01-22T02:00:32.000Z

2022-02-08T19:43:16.000Z

from keckdrpframework.primitives.base_primitive import BasePrimitive from kcwidrp.primitives.kcwi_file_primitives import kcwi_fits_reader, \ kcwi_fits_writer, get_master_name, strip_fname import os class SubtractSky(BasePrimitive): def __init__(self, action, context): BasePrimitive.__init__(self, act...

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0.112245

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null

0

null

0

1

0

243f3be35cd23daccbea4684b6c7521e62d8c778

2,517

py

Python

ask-sdk-model-runtime/ask_sdk_model_runtime/api_configuration.py

Signal-Kinetics/alexa-apis-for-python

abb8d3dce18a5510c48b215406ed36c024f01495

[ "Apache-2.0" ]

90

2018-09-19T21:56:42.000Z

2022-03-30T11:25:21.000Z

ask-sdk-model-runtime/ask_sdk_model_runtime/api_configuration.py

Signal-Kinetics/alexa-apis-for-python

abb8d3dce18a5510c48b215406ed36c024f01495

[ "Apache-2.0" ]

11

2018-09-23T12:16:48.000Z

2021-06-10T19:49:45.000Z

ask-sdk-model-runtime/ask_sdk_model_runtime/api_configuration.py

Signal-Kinetics/alexa-apis-for-python

abb8d3dce18a5510c48b215406ed36c024f01495

[ "Apache-2.0" ]

28

2018-09-19T22:30:38.000Z

2022-02-22T22:57:07.000Z

# -*- coding: utf-8 -*- # # Copyright 2019 Amazon.com, Inc. or its affiliates. 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. A copy of the # License is located at # # http://aws.amazon.com/apache2.0/ # # or in ...

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null

0

null

0

1

0

2442557711a70e9fcc1b17d9d62fad88b7a458da

2,149

py

Python

src/stats/__main__.py

bmcculley/pycalcstats

74501b3fb2c5c061e5629eed127d8554345c0bd3

[ "MIT" ]

null

src/stats/__main__.py

bmcculley/pycalcstats

74501b3fb2c5c061e5629eed127d8554345c0bd3

[ "MIT" ]

null

src/stats/__main__.py

bmcculley/pycalcstats

74501b3fb2c5c061e5629eed127d8554345c0bd3

[ "MIT" ]

null

#!/usr/bin/env python3 ## Copyright (c) 2011 Steven D'Aprano. ## See the file __init__.py for the licence terms for this software. """ Run the stats package as if it were an executable module. Usage: $ python3 -m stats [options] Options: -h --help Print this help text. -V --version Print the ...

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null

0

null

0

1

0

2442c8f27888189c71758520f5da703f6def7184

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py

Python

tests/field_test.py

intelligenceunion/mongo-driver

02bbc6839c8264d4b06b053e8cc83d42147ede17

[ "MIT" ]

null

tests/field_test.py

intelligenceunion/mongo-driver

02bbc6839c8264d4b06b053e8cc83d42147ede17

[ "MIT" ]

null

tests/field_test.py

intelligenceunion/mongo-driver

02bbc6839c8264d4b06b053e8cc83d42147ede17

[ "MIT" ]

1

2019-06-21T17:49:08.000Z

import unittest import pymongo import datetime from bson import ObjectId from iu_mongo import Document, connect from iu_mongo.fields import * from iu_mongo.errors import ValidationError import iu_mongo class Person(Document): meta = { 'db_name': 'test' } name = StringField() age = IntField(def...

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null

0

null

0

1

0

2444309351fb1815ca19b79bdbd6b418c960ad90

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py

Python

bitsv/network/services/bchsvexplorer.py

yoursmengle/bitsv

387ff649e3916521fc3528469fdb0eef9c97e624

[ "MIT" ]

1

2019-06-28T05:20:07.000Z

bitsv/network/services/bchsvexplorer.py

joshua-s/bitsv

8ca960c39cef7a7d655011fba690510684190f1e

[ "MIT" ]

1

2020-01-10T13:16:36.000Z

bitsv/network/services/bchsvexplorer.py

yoursmengle/bitsv

387ff649e3916521fc3528469fdb0eef9c97e624

[ "MIT" ]

null

import requests import json from decimal import Decimal from bitsv.network import currency_to_satoshi from bitsv.network.meta import Unspent # left here as a reminder to normalize get_transaction() from bitsv.network.transaction import Transaction, TxInput, TxOutput from bitsv.constants import BSV DEFAULT_TIMEOUT = ...

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null

0

null

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1

0

2444ac3c50dcef8edaf375b5ced228049606008a

336

py

Python

utils/common.py

Dineshs91/django-revert-test

e1954f287427e74255f17fb56886fbf90580ab77

[ "MIT" ]

null

utils/common.py

Dineshs91/django-revert-test

e1954f287427e74255f17fb56886fbf90580ab77

[ "MIT" ]

null

utils/common.py

Dineshs91/django-revert-test

e1954f287427e74255f17fb56886fbf90580ab77

[ "MIT" ]

null

from rest_framework.response import Response def create_response(data=None, error=None, status=None): if 200 <= status < 400: success = True else: success = False response = { "data": data, "error": error, "success": success } return Response(data=response,...

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0

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null

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1

0

24468a96f003b4054d7dff4b59d198dddc557f17

1,699

py

Python

email-updates-stonks-AI-ML/venv/Lib/site-packages/pandas_datareader/econdb.py

iVibudh/stock-prediction

3900619224bb86e382c782d39138914294199733

[ "MIT" ]

1

2021-02-06T21:00:00.000Z

venv/lib/python3.8/site-packages/pandas_datareader/econdb.py

jsherretts/stock-trading-bot

234bd7b1e67e6e2d9c728dce1851e020aab0662e

[ "MIT" ]

2

2021-03-31T19:54:17.000Z

2021-06-02T02:33:56.000Z

venv/lib/python3.8/site-packages/pandas_datareader/econdb.py

jsherretts/stock-trading-bot

234bd7b1e67e6e2d9c728dce1851e020aab0662e

[ "MIT" ]

1

2021-07-28T20:35:14.000Z

import pandas as pd import requests from pandas_datareader.base import _BaseReader class EcondbReader(_BaseReader): """Get data for the given name from Econdb.""" _URL = "https://www.econdb.com/api/series/" _format = None _show = "labels" @property def url(self): """API URL""" ...

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2446ff9bc5f75c50ae2d83b9186ef463217c4dff

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py

Python

adet/modeling/SparseMaskInst/SparseMaskEncoding/utils.py

shuaiqi361/AdelaiDet

35d944033a8d2f7aa623ad607b57bd8a1fe88b43

[ "BSD-2-Clause" ]

null

adet/modeling/SparseMaskInst/SparseMaskEncoding/utils.py

shuaiqi361/AdelaiDet

35d944033a8d2f7aa623ad607b57bd8a1fe88b43

[ "BSD-2-Clause" ]

null

adet/modeling/SparseMaskInst/SparseMaskEncoding/utils.py

shuaiqi361/AdelaiDet

35d944033a8d2f7aa623ad607b57bd8a1fe88b43

[ "BSD-2-Clause" ]

null

# coding:utf-8 import numpy as np import torch import math class IOUMetric(object): """ Class to calculate mean-iou using fast_hist method """ def __init__(self, num_classes): self.num_classes = num_classes self.hist = np.zeros((num_classes, num_classes)) def _fast_hist(self, la...

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null

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null

0

1

0

24483a88227f9c9ae585353b8fb8fe058a952b42

11,524

py

Python

nautobot_chatops/api/views/mattermost.py

smk4664/nautobot-plugin-chatops

223d15a8a3364b44740f2912b44a2f11837946b3

[ "Apache-2.0" ]

null

nautobot_chatops/api/views/mattermost.py

smk4664/nautobot-plugin-chatops

223d15a8a3364b44740f2912b44a2f11837946b3

[ "Apache-2.0" ]

null

nautobot_chatops/api/views/mattermost.py

smk4664/nautobot-plugin-chatops

223d15a8a3364b44740f2912b44a2f11837946b3

[ "Apache-2.0" ]

null

"""Views to receive inbound notifications from Mattermost, parse them, and enqueue worker actions.""" import json import logging import shlex from django.conf import settings from django.http import HttpResponse from django.utils.decorators import method_decorator from django.views import View from django.views.decor...

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244c391e531a230265dcfe8e38f79f69557d41fd

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py

Python

discordspy/utils.py

NextChai/discordspy

a6f4f2f1c9ad9facfdb92e653d0d9655606878fa

[ "MIT" ]

null

discordspy/utils.py

NextChai/discordspy

a6f4f2f1c9ad9facfdb92e653d0d9655606878fa

[ "MIT" ]

null

discordspy/utils.py

NextChai/discordspy

a6f4f2f1c9ad9facfdb92e653d0d9655606878fa

[ "MIT" ]

null

""" MIT License Copyright (c) 2021 NextChai Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, dist...

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null

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null

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1

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244f5d19d999147c55383cd2348a0a544bf75692

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py

Python

dump/gui_v1.0.py

axcelerateai/Urdu-Handwriting-Recognition-using-Deep-Learning

38c6e4676b393feac380781cf37ce1abf8051132

[ "MIT" ]

3

2020-10-09T13:30:47.000Z

2021-11-03T17:55:47.000Z

dump/gui_v1.0.py

axcelerateai/Urdu-Handwriting-Recognition-using-Deep-Learning

38c6e4676b393feac380781cf37ce1abf8051132

[ "MIT" ]

2

2020-06-12T20:03:56.000Z

2020-06-16T03:53:17.000Z

dump/gui_v1.0.py

axcelerateai/Urdu-Handwriting-Recognition-using-Deep-Learning

38c6e4676b393feac380781cf37ce1abf8051132

[ "MIT" ]

3

2021-02-25T03:30:32.000Z

2022-02-07T20:04:19.000Z

import os import webbrowser import numpy as np import csv import traceback import arabic_reshaper from tkinter import * from tkinter import messagebox from tkinter.filedialog import askopenfilename from PIL import ImageTk, Image from run_model import create_and_run_model def make_menu(w): global the_menu the_m...

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null

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null

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245279e99eccc5a89222148405717013b6bf5d45

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py

Python

blaspy/level_2/trmv.py

nicholas-moreles/blaspy

c4af6258e17dd996c4b6d90bbaae15b31b8702b4

[ "BSD-3-Clause" ]

4

2015-01-25T12:44:44.000Z

2022-03-19T08:36:19.000Z

blaspy/level_2/trmv.py

nicholas-moreles/blaspy

c4af6258e17dd996c4b6d90bbaae15b31b8702b4

[ "BSD-3-Clause" ]

7

2015-01-20T13:35:39.000Z

2015-05-31T17:11:50.000Z

blaspy/level_2/trmv.py

nicholas-moreles/blaspy

c4af6258e17dd996c4b6d90bbaae15b31b8702b4

[ "BSD-3-Clause" ]

null

""" Copyright (c) 2014-2015-2015, The University of Texas at Austin. All rights reserved. This file is part of BLASpy and is available under the 3-Clause BSD License, which can be found in the LICENSE file at the top-level directory or at http://opensource.org/licenses/BSD-3-Clause """ from ..he...

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null

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py

Python

Neural Style Transfer/model.py

KingJamesSong/FastDifferentiableMatSqrt

ab5278195e25df0192096581e0c0c288e0c66bd2

[ "MIT" ]

15

2022-01-21T11:57:01.000Z

2022-03-27T07:22:16.000Z

Neural Style Transfer/model.py

KingJamesSong/FastDifferentiableMatSqrt

ab5278195e25df0192096581e0c0c288e0c66bd2

[ "MIT" ]

null

Neural Style Transfer/model.py

KingJamesSong/FastDifferentiableMatSqrt

ab5278195e25df0192096581e0c0c288e0c66bd2

[ "MIT" ]

1

2022-01-24T11:29:25.000Z

import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from utils.torch_utils import * class Content_Encoder(nn.Module): def __init__(self, conv_dim=64, repeat_num=4, norm='in', activation='relu'): super(Content_Encoder, self).__init__() layers = [] ...

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null

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null

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1

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2455cb80e1aaf2ba0d39b50ac976cccb541ad91b

13,355

py

Python

main.py

hunterowens/frankenstein

36305cad0ab6552597c707c813d20eaa3ad38f81

[ "Apache-2.0" ]

2

2018-10-17T02:27:59.000Z

2019-03-12T00:58:48.000Z

main.py

hunterowens/frankenstein

36305cad0ab6552597c707c813d20eaa3ad38f81

[ "Apache-2.0" ]

null

main.py

hunterowens/frankenstein

36305cad0ab6552597c707c813d20eaa3ad38f81

[ "Apache-2.0" ]

null

import json import pythonosc import argparse import math import datetime from pythonosc import dispatcher, osc_server, udp_client, osc_message_builder import requests from collections import OrderedDict from statistics import mean ## added variables to change the ip and port easily ## testing if Git works with ST ip...

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2456194d25cdc4ce95af04bc56ef7e00c8643248

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py

Python

src/lit_tracking/utils/run_converter.py

Actis92/lit-tracking

9e7b243ba77c80ca260bff479e54db271d10c195

[ "MIT" ]

null

src/lit_tracking/utils/run_converter.py

Actis92/lit-tracking

9e7b243ba77c80ca260bff479e54db271d10c195

[ "MIT" ]

14

2021-11-01T08:48:23.000Z

2022-01-08T14:20:17.000Z

src/lit_tracking/utils/run_converter.py

Actis92/lit-tracking

9e7b243ba77c80ca260bff479e54db271d10c195

[ "MIT" ]

null

import argparse import importlib if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument('--input_path', help='Path that contains data in MOT format', required=True) parser.add_argument('--output_path', help='Path that will contains the output', required=True) parser.add_argum...

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0

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null

0

null

0

1

0

2456670193398aaa3aace6b23615d552f25b4839

5,825

py

Python

test/test_npu/test_network_ops/test_neg.py

Ascend/pytorch

39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc

[ "BSD-3-Clause" ]

1

2021-12-02T03:07:35.000Z

test/test_npu/test_network_ops/test_neg.py

Ascend/pytorch

39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc

[ "BSD-3-Clause" ]

1

2021-11-12T07:23:03.000Z

2021-11-12T08:28:13.000Z

test/test_npu/test_network_ops/test_neg.py

Ascend/pytorch

39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc

[ "BSD-3-Clause" ]

null

# Copyright (c) 2020, Huawei Technologies.All rights reserved. # # Licensed under the BSD 3-Clause License (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://opensource.org/licenses/BSD-3-Clause # # Unless required by applicable law...

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2456f6933037766ba90c0161dd21869ac9959ef3

370

py

Python

Web_decoder_2.py

cegador/python_exercises

cdae01f845288475c00ed4c7c45db17e7dfb751e

[ "MIT" ]

null

Web_decoder_2.py

cegador/python_exercises

cdae01f845288475c00ed4c7c45db17e7dfb751e

[ "MIT" ]

null

Web_decoder_2.py

cegador/python_exercises

cdae01f845288475c00ed4c7c45db17e7dfb751e

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup url = 'https://www.vanityfair.com/style/society/2014/06/monica-lewinsky-humiliation-culture' vf = requests.get(url) vf.status_code s = BeautifulSoup(vf.text, 'lxml') print(s.prettify()) text_article = s.find('div', attrs={'class' : 'content-background'}).find_all('p') ...

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null

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245a13172d7f4a65ed0b24d40fe80fd7eeecd806

3,849

py

Python

eva-accession-release-automation/include_mapping_weight_from_dbsnp/export_all_multimap_snps_from_dbsnp_dumps.py

sundarvenkata-EBI/eva-accession

b26f0b5e5acaafe63d0755bad81837b9a5976237

[ "Apache-2.0" ]

3

2018-02-28T17:14:53.000Z

2020-03-17T17:19:45.000Z

eva-accession-release-automation/include_mapping_weight_from_dbsnp/export_all_multimap_snps_from_dbsnp_dumps.py

sundarvenkata-EBI/eva-accession

b26f0b5e5acaafe63d0755bad81837b9a5976237

[ "Apache-2.0" ]

52

2018-03-29T15:44:23.000Z

2022-02-16T00:54:28.000Z

eva-accession-release-automation/include_mapping_weight_from_dbsnp/export_all_multimap_snps_from_dbsnp_dumps.py

sundarvenkata-EBI/eva-accession

b26f0b5e5acaafe63d0755bad81837b9a5976237

[ "Apache-2.0" ]

15

2018-03-02T13:34:19.000Z

2021-06-22T15:54:59.000Z

# Copyright 2020 EMBL - European Bioinformatics Institute # # 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...

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0

null

0

null

0

1

0

245c288390cedd8347f4657b97e7c373c4bcbfa5

7,357

py

Python

hilbert_curve.py

qypea/disk-usage-visualizer

c26c5866a6d885347a92f1212d132286a6ab9ddc

[ "MIT" ]

null

hilbert_curve.py

qypea/disk-usage-visualizer

c26c5866a6d885347a92f1212d132286a6ab9ddc

[ "MIT" ]

null

hilbert_curve.py

qypea/disk-usage-visualizer

c26c5866a6d885347a92f1212d132286a6ab9ddc

[ "MIT" ]

null

#!/usr/bin/env python3 # From https://people.sc.fsu.edu/~jburkardt/py_src/hilbert_curve/hilbert_curve.py # def d2xy ( m, d ): #*****************************************************************************80 # ## D2XY converts a 1D Hilbert coordinate to a 2D Cartesian coordinate. # # Licensing: # # This code is dis...

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null

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null

0

1

0

245ea6b8625b098807a43420900faed747e3a21d

3,314

py

Python

src/search.py

yrwq/ytw

787d5c2d5d49d1cdd99a2d2448210af11727a278

[ "MIT" ]

5

2020-11-26T08:38:45.000Z

2021-03-14T11:38:38.000Z

src/search.py

yrwq/ytw

787d5c2d5d49d1cdd99a2d2448210af11727a278

[ "MIT" ]

null

src/search.py

yrwq/ytw

787d5c2d5d49d1cdd99a2d2448210af11727a278

[ "MIT" ]

2

2020-11-26T07:21:49.000Z

2021-01-01T13:09:34.000Z

#!/usr/bin/env python import sys import getopt import requests import urllib.parse import json class YoutubeSearch: def __init__(self, search_terms: str, max_results=None): self.search_terms = search_terms self.max_results = max_results self.videos = self.search() def search(self): ...

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null

0

null

0

1

0

245ebdd8bc1926f462e2a124d6f07b5c8b565ff3

3,716

py

Python

mapmeta/script/script_init.py

bukun/mapserver_meta

0f1dd278b07fa747dafaf801b96eac19ffdbf327

[ "MIT" ]

null

mapmeta/script/script_init.py

bukun/mapserver_meta

0f1dd278b07fa747dafaf801b96eac19ffdbf327

[ "MIT" ]

null

mapmeta/script/script_init.py

bukun/mapserver_meta

0f1dd278b07fa747dafaf801b96eac19ffdbf327

[ "MIT" ]

1

2019-06-20T00:29:25.000Z

# -*- coding: utf-8 -*- ''' script for initialization. ''' import os import requests from .script_init_tabels import run_init_tables from mapmeta.model.mapmeta_model import MMapMeta from lxml import etree def do_for_maplet(mapserver_ip): ''' 代码来自 `maplet_arch//030_gen_mapproxy.py` ，原用来找到 mapfile ，生成 yaml . ...

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null

0

null

0

1

0

245fd6a78e559e016c8aa53d6a9cbeb14ced94d9

3,713

py

Python

dissect/utils/data_processing.py

dufkan/DiSSECT

834755f106fefff2475bd247c414aa6d13ec0851

[ "MIT" ]

null

dissect/utils/data_processing.py

dufkan/DiSSECT

834755f106fefff2475bd247c414aa6d13ec0851

[ "MIT" ]

null

dissect/utils/data_processing.py

dufkan/DiSSECT

834755f106fefff2475bd247c414aa6d13ec0851

[ "MIT" ]

null

from typing import Dict, Any import pandas as pd from tqdm.contrib import tmap from sage.all import RR, ZZ import dissect.utils.database_handler as database from dissect.definitions import STD_CURVE_DICT, ALL_CURVE_COUNT class Modifier: """a class of lambda functions for easier modifications if visualised values...

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0

null

0

null

0

1

0

2461451b3428279cbbc4968cdac79244d3d6001a

3,251

py

Python

djcookieauth/middleware.py

benoitc/dj-cookieauth

7397db7adf11e480f9954bf7518a3d522f5b28e5

[ "MIT" ]

3

2015-05-18T13:49:41.000Z

2020-01-21T11:12:08.000Z

djcookieauth/middleware.py

benoitc/dj-cookieauth

7397db7adf11e480f9954bf7518a3d522f5b28e5

[ "MIT" ]

null

djcookieauth/middleware.py

benoitc/dj-cookieauth

7397db7adf11e480f9954bf7518a3d522f5b28e5

[ "MIT" ]

null

# -*- coding: utf-8 -*- # This file is part of dj-cookieauth released under the Apache 2 license. # See the NOTICE for more information. import base64 import hmac import hashlib import time from django.conf import settings from django.core.exceptions import ImproperlyConfigured from django.contrib.auth.models import...

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null

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null

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2461bf3779f8f53bfec6956001ecc2d3efe42214

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py

Python

src/20.py

sroccaserra/aoc2021

a9024ac59fdbe519271d6fab937b9123095955e1

[ "BSD-3-Clause" ]

1

2021-12-16T13:25:38.000Z

src/20.py

sroccaserra/aoc2021

a9024ac59fdbe519271d6fab937b9123095955e1

[ "BSD-3-Clause" ]

null

src/20.py

sroccaserra/aoc2021

a9024ac59fdbe519271d6fab937b9123095955e1

[ "BSD-3-Clause" ]

null

import sys import fileinput from collections import defaultdict from itertools import chain def solve(algo, grid, times): defaults = ['.', algo[0]] image = grid for i in range(times): image = enhance(algo, defaults[i%2], image) return sum(map(lambda c: c == '#', chain.from_iterable(image))) ...

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0.25

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0

null

0

null

0

1

0

24629d61c69e7cc1eb4d14dec1215374f034c8fe

981

py

Python

leetcode/_429.py

simonzhang0428/LeetCode

7daee7572d8235a34071aa831452ed5d0e93d947

[ "Apache-2.0" ]

2

2021-07-09T23:22:25.000Z

2021-07-27T23:15:52.000Z

leetcode/_429.py

simonzhang0428/LeetCode

7daee7572d8235a34071aa831452ed5d0e93d947

[ "Apache-2.0" ]

null

leetcode/_429.py

simonzhang0428/LeetCode

7daee7572d8235a34071aa831452ed5d0e93d947

[ "Apache-2.0" ]

null

# Definition for a Node. class Node: def __init__(self, val=None, children=None): self.val = val self.children = children """ 11:23 - 11:36 7/30 high level: BFS, level order traversal mid level: queue store cur level res, for the popped node, for its all children, add them to queue test: size = ...

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null

0

null

0

1

0

246405a3df29d2d69c702ebd40ef421c5c95784b

12,036

py

Python

python/special.py

rodluger/starrynight

d3f015e466621189cb271d4d18b538430b14a557

[ "MIT" ]

5

2020-05-20T09:30:30.000Z

2021-06-27T14:17:33.000Z

python/special.py

rodluger/starrynight

d3f015e466621189cb271d4d18b538430b14a557

[ "MIT" ]

5

2020-05-16T18:49:42.000Z

2021-02-11T21:46:32.000Z

python/special.py

rodluger/starrynight

d3f015e466621189cb271d4d18b538430b14a557

[ "MIT" ]

1

2020-05-19T17:11:57.000Z

from utils import * from mpmath import ellipe, ellipk, ellippi from scipy.integrate import quad import numpy as np C1 = 3.0 / 14.0 C2 = 1.0 / 3.0 C3 = 3.0 / 22.0 C4 = 3.0 / 26.0 def J(N, k2, kappa, gradient=False): # We'll need to solve this with gaussian quadrature func = ( lambda x: np.sin(x) ** (...

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0.107492

0

null

0

null

0

1

0

24646d858bd45611b38521c81ad12d15324e8859

821

py

Python

capitalist/contrib/django/django_capitalist/validators.py

wit4er/python-capitalist

08f74ab80155b9a4a72c3a03bd1b13153fbdb891

[ "MIT" ]

null

capitalist/contrib/django/django_capitalist/validators.py

wit4er/python-capitalist

08f74ab80155b9a4a72c3a03bd1b13153fbdb891

[ "MIT" ]

null

capitalist/contrib/django/django_capitalist/validators.py

wit4er/python-capitalist

08f74ab80155b9a4a72c3a03bd1b13153fbdb891

[ "MIT" ]

3

2020-03-02T12:40:00.000Z

2021-12-24T12:04:36.000Z

from django.core.exceptions import ValidationError from django.utils.deconstruct import deconstructible from django.utils.translation import gettext_lazy as _ @deconstructible class CapitalistAccountValidator: message = _('Invalid Capitalist account number.') code = 'invalid_capitalist_account' account_ty...

29.321429

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0

0.391304

0

null

0

null

0

1

0

246a10b85099e22d96ea411de65b12bcd5947ba4

2,644

py

Python

src/query_spec.py

jdiaz/snorkel

d553480f3193f105d6f5befa04afb3656cd94d49

[ "BSD-2-Clause-FreeBSD" ]

null

src/query_spec.py

jdiaz/snorkel

d553480f3193f105d6f5befa04afb3656cd94d49

[ "BSD-2-Clause-FreeBSD" ]

null

src/query_spec.py

jdiaz/snorkel

d553480f3193f105d6f5befa04afb3656cd94d49

[ "BSD-2-Clause-FreeBSD" ]

null

import werkzeug try: import dotmap except: dotmap = None try: import addict except: addict = None class QuerySpec(object): def __init__(self, query): # TODO: list all attributes of a query spec up front so others know what to expect md = werkzeug.MultiDict() for q in query...

22.991304

90

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3.908012

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0.041002

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0.099468

0.064541

0.028094

0

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0.794562

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0.301205

0

null

0

null

0

1

0

79e0e2d611865157c4511898cc3f7aa9623c7290

1,268

py

Python

mysite/note/management/commands/create_note.py

t2y/wagtail-app-sample

9c0592d80ccec3dd0d6f385f46372dccbcbd2a01

[ "Apache-2.0" ]

null

mysite/note/management/commands/create_note.py

t2y/wagtail-app-sample

9c0592d80ccec3dd0d6f385f46372dccbcbd2a01

[ "Apache-2.0" ]

null

mysite/note/management/commands/create_note.py

t2y/wagtail-app-sample

9c0592d80ccec3dd0d6f385f46372dccbcbd2a01

[ "Apache-2.0" ]

null

from datetime import datetime from django.contrib.auth import get_user_model from django.core.management.base import BaseCommand, no_translations from note.models import NoteIndexPage from note.models import NotePage class Command(BaseCommand): help = 'Create note page' def add_arguments(self, parser): ...

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1,268

40

72

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0

0.28125

0

null

0

null

0

1

0

79ea9a1464ec72ae217a22521335fffd9916b5cc

6,241

py

Python

danceschool/discounts/admin.py

django-danceschool/django-danceschool

65ae09ffdcb0821e82df0e1f634fe13c0384a525

[ "BSD-3-Clause" ]

32

2017-09-12T04:25:25.000Z

2022-03-21T10:48:07.000Z

danceschool/discounts/admin.py

django-danceschool/django-danceschool

65ae09ffdcb0821e82df0e1f634fe13c0384a525

[ "BSD-3-Clause" ]

97

2017-09-01T02:43:08.000Z

2022-01-03T18:20:34.000Z

danceschool/discounts/admin.py

django-danceschool/django-danceschool

65ae09ffdcb0821e82df0e1f634fe13c0384a525

[ "BSD-3-Clause" ]

19

2017-09-26T13:34:46.000Z

2022-03-21T10:48:10.000Z

from django.forms import ModelForm, ModelChoiceField from django.contrib import admin from django.utils.translation import gettext_lazy as _ from dal import autocomplete from .models import ( DiscountCategory, DiscountCombo, DiscountComboComponent, PointGroup, PricingTierGroup, RegistrationDiscount, Custo...

32.170103

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0.406667

0

null

0

null

0

1

0

79eaca1eab171f82b2698cf469eb4057caa27f84

9,666

py

Python

tools/create_cluster.py

cosh/compute-cassandra-python

2ae6454bbb86d00252afa415042a5e8b823c763d

[ "Apache-2.0" ]

1

2016-12-21T09:59:16.000Z

tools/create_cluster.py

cosh/compute-cassandra-python

2ae6454bbb86d00252afa415042a5e8b823c763d

[ "Apache-2.0" ]

null

tools/create_cluster.py

cosh/compute-cassandra-python

2ae6454bbb86d00252afa415042a5e8b823c763d

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2013 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless re...

38.357143

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0.097701

0

null

0

null

0

1

0

79eb237c4bd2d1099cc8ababd7408be4112e4eb8

770

py

Python

lakey_finicity/models/connect/answered_mfa_question.py

jeremydeanlakey/lakey-finicity-python

f0b5ae6febb9337f0e28731f631b726fca940d2c

[ "MIT" ]

1

2021-02-09T14:44:55.000Z

lakey_finicity/models/connect/answered_mfa_question.py

jeremydeanlakey/lakey-finicity-python

f0b5ae6febb9337f0e28731f631b726fca940d2c

[ "MIT" ]

null

lakey_finicity/models/connect/answered_mfa_question.py

jeremydeanlakey/lakey-finicity-python

f0b5ae6febb9337f0e28731f631b726fca940d2c

[ "MIT" ]

1

2022-01-26T18:09:33.000Z

from dataclasses import dataclass # https://community.finicity.com/s/article/207505363-Multi-Factor-Authentication-MFA @dataclass class AnsweredMfaQuestion(object): text: str answer: str # Added by the partner for calls to the "MFA Answers" services _unused_fields: dict # this is for forward compatibili...

28.518519

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0

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0

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0.428571

0

null

0

null

0

1

0

79ebb38627cea4de632bbd11155e51f5abc082e1

3,829

py

Python

test/python/k8s/test_client_cert_inject.py

cyberark/conjur-openapi-spec

40f2f1a6b14fb3536facc628e63321a17667148c

[ "Apache-2.0" ]

6

2020-12-03T19:48:30.000Z

2021-07-19T08:36:43.000Z

test/python/k8s/test_client_cert_inject.py

cyberark/conjur-openapi-spec

40f2f1a6b14fb3536facc628e63321a17667148c

[ "Apache-2.0" ]

116

2020-11-24T21:56:49.000Z

2021-12-10T19:27:39.000Z

test/python/k8s/test_client_cert_inject.py

cyberark/conjur-openapi-spec

40f2f1a6b14fb3536facc628e63321a17667148c

[ "Apache-2.0" ]

null

from __future__ import absolute_import import base64 import os import pathlib import unittest import conjur from OpenSSL import crypto, SSL CERT_DIR = pathlib.Path('config/https') SSL_CERT_FILE = 'ca.crt' CONJUR_CERT_FILE = 'conjur.crt' CONJUR_KEY_FILE = 'conjur.key' def generateKey(type, bits): """Generates a...

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0

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false

0

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0.230769

0

null

0

null

0

1

0

79ecb3c7117dbfd7119dcd2c527e73deda680a91

2,909

py

Python

khl/websocket/net_client_websocket.py

hang333/khl.py

1d235541528b070a1206eaf31ccaded9eac52da1

[ "MIT" ]

null

khl/websocket/net_client_websocket.py

hang333/khl.py

1d235541528b070a1206eaf31ccaded9eac52da1

[ "MIT" ]

null

khl/websocket/net_client_websocket.py

hang333/khl.py

1d235541528b070a1206eaf31ccaded9eac52da1

[ "MIT" ]

null

import asyncio from asyncio.events import AbstractEventLoop import json import logging import zlib from aiohttp import ClientSession, ClientWebSocketResponse from ..cert import Cert from ..hardcoded import API_URL from ..net_client import BaseClient class WebsocketClient(BaseClient): """ implements BaseClie...

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2,909

4.836923

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0.026718

0.020356

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0.005768

0.344448

2,909

87

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0.818563

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0.08035

0.008759

0

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0

0.145161

0

0.322581

0

null

0

null

0

1

0

79f1612b542eb9d1c94aaf73dc2f5954230da328

5,305

py

Python

taattack/utils.py

linerxliner/ValCAT

e62985c6c64f6415bb2bb4716bd02d9686badd47

[ "MIT" ]

null

taattack/utils.py

linerxliner/ValCAT

e62985c6c64f6415bb2bb4716bd02d9686badd47

[ "MIT" ]

null

taattack/utils.py

linerxliner/ValCAT

e62985c6c64f6415bb2bb4716bd02d9686badd47

[ "MIT" ]

null

import flair import numpy as np import spacy import tensorflow_hub as hub import torch from flair.data import Sentence from flair.models import SequenceTagger from nltk.tokenize.treebank import TreebankWordDetokenizer from sklearn.metrics.pairwise import cosine_similarity from string import punctuation from transformer...

32.746914

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0.684826

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5,305

4.798036

0.175316

0.03157

0.049108

0.065478

0.326805

0.196141

0.111371

0.028939

0.018123

0

0.032896

0.209237

5,305

161

113

32.950311

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0

0.094828

0

0.090858

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1

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false

0

0.103448

0.034483

0.465517

0

null

0

null

0

1

0

79f1aa731dd46a3731e4a9c3f27085c9eb89008f

765

py

Python

solutions/57.py

pacokwon/leetcode

37c943d371c106d1e6f24e065700e5edd1c3f9f9

[ "MIT" ]

2

2022-01-18T08:57:13.000Z

2022-01-18T15:49:06.000Z

solutions/57.py

pacokwon/leetcode

37c943d371c106d1e6f24e065700e5edd1c3f9f9

[ "MIT" ]

null

solutions/57.py

pacokwon/leetcode

37c943d371c106d1e6f24e065700e5edd1c3f9f9

[ "MIT" ]

null

# Insert Interval class Solution: def insert(self, intervals, newInterval): ans = [] [nst, nen] = newInterval for index, [st, en] in enumerate(intervals): if en < nst: ans.append(intervals[index]) elif nen < st: # can return now ...

26.37931

52

0.491503

88

765

4.181818

0.488636

0.048913

0.065217

0.081522

0.130435

0

0.045267

0.364706

765

28

53

27.321429

0.711934

0.039216

0

0.090909

0

0.010929

0

1

0.045455

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0

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0.045455

0

null

0

null

0

1

0

79f1af18baf4d6560c556e9a2520a03a8a86dced

25,595

py

Python

cyvn/trader/app/ctaStrategy/strategy/strategyBollingerBot01.py

mumuwoyou/pytrader

6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a

[ "MIT" ]

4

2019-03-14T05:30:59.000Z

2021-11-21T20:05:22.000Z

cyvn/trader/app/ctaStrategy/strategy/strategyBollingerBot01.py

mumuwoyou/pytrader

6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a

[ "MIT" ]

null

cyvn/trader/app/ctaStrategy/strategy/strategyBollingerBot01.py

mumuwoyou/pytrader

6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a

[ "MIT" ]

4

2019-02-14T14:30:46.000Z

2021-01-05T09:46:19.000Z

# encoding: UTF-8 """" 基于布林带的交易策略观察周期：1min 策略周期：5min 策略逻辑： 1. 信号：突破上轨、下轨 2. 过滤：均线多头、空头排列 3. 出场：分级止盈；固定止损 """ import talib import numpy as np from cyvn.trader.vtObject import VtBarData from cyvn.trader.vtConstant import EMPTY_STRING from cyvn.trader.app.ctaStrategy.ctaTemplate import CtaTemplate, BarGenerator, Arr...

44.513043

149

0.477789

2,200

25,595

5.537727

0.159091

0.035623

0.037019

0.027579

0.609456

0.576049

0.540015

0.535582

0.491915

0.491505

0

0.022699

0.368314

25,595

575

150

44.513043

0.730826

0.450635

0

0.169492

0

0.037827

0.001613

0

1

0.042373

false

0

0.042373

0

0.237288

0

null

0

null

0

1

0

79f212ed18232d9a20e96553e02496b414e7481c

4,577

py

Python

cabu/drivers.py

thylong/cabu

b883293f35d22443de1ba8129b2efd1c346c7e61

[ "BSD-3-Clause" ]

16

2016-02-05T22:49:16.000Z

2020-03-20T13:28:05.000Z

cabu/drivers.py

thylong/cabu

b883293f35d22443de1ba8129b2efd1c346c7e61

[ "BSD-3-Clause" ]

null

cabu/drivers.py

thylong/cabu

b883293f35d22443de1ba8129b2efd1c346c7e61

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import os import re from selenium import webdriver from xvfbwrapper import Xvfb from cabu.exceptions import DriverException from cabu.utils.headers import Headers from selenium.webdriver.common.desired_capabilities import DesiredCapabilities from selenium import webdriver try: from urllib....

27.908537

91

0.674022

524

4,577

5.755725

0.240458

0.039788

0.03183

0.028183

0.327255

0.310013

0.274867

0.252984

0

0.001959

0.219139

4,577

163

92

28.079755

0.841914

0.274634

0

0.101266

0

0.164231

0.028272

0

1

0.088608

false

0

0.151899

0

0.316456

0

null

0

null

0

1

0

79fcc9de775f5e6d9c7b155ff6baf8f84042ddd0

10,468

py

Python

easistrain/EDD/fitEDD.py

EASI-STRESS/easistrain

86192d1c4135875daec8e4e4abcb67e372f86efb

[ "MIT" ]

null

easistrain/EDD/fitEDD.py

EASI-STRESS/easistrain

86192d1c4135875daec8e4e4abcb67e372f86efb

[ "MIT" ]

11

2021-11-10T08:36:22.000Z

2022-03-21T08:31:17.000Z

easistrain/EDD/fitEDD.py

EASI-STRESS/easistrain

86192d1c4135875daec8e4e4abcb67e372f86efb

[ "MIT" ]

null

from typing import Sequence import numpy as np import h5py from easistrain.EDD.io import ( create_info_group, peak_dataset_data, save_fit_data, ) from easistrain.EDD.utils import fit_detector_data, run_from_cli def fitEDD( fileRead: str, fileSave: str, sample: str, dataset: str, scanNu...

39.353383

122

0.579862

984

10,468

6.029472

0.215447

0.021911

0.013484

0.020226

0.197034

0.142087

0.066745

0.0418

0.028316

0

0.013928

0.327856

10,468

265

123

39.501887

0.829306

0.106993

0

0.120332

0

0.127609

0.057134

0

0.012448

1

0.008299

false

0

0.020747

0

0.037344

0.012448

0

null

0

null

0

1

0

03004212ee99b61faeb0548d5a85b4b203430ddc

2,784

py

Python

support_functions.py

yellingviv/dungeons_on_demand

ced5d6b1b0c12ad8e22f7fac1cfaeecc82a821bb

[ "OML" ]

null

support_functions.py

yellingviv/dungeons_on_demand

ced5d6b1b0c12ad8e22f7fac1cfaeecc82a821bb

[ "OML" ]

null

support_functions.py

yellingviv/dungeons_on_demand

ced5d6b1b0c12ad8e22f7fac1cfaeecc82a821bb

[ "OML" ]

1

2020-04-18T16:47:57.000Z

from dungeon_model import Monsters, Players import re import math def initiative_sort(init_order): """sorts all the characters for a given combat by initiative""" print("passed into sort function: ", init_order) for i in range(len(init_order)): check = init_order[i] print("the check is: ",...

31.636364

67

0.530532

327

2,784

4.281346

0.275229

0.135

0.04

0.025714

0.035

0

0.006271

0.369971

2,784

87

68

32

0.791904

0.084052

0

0.075464

0

1

0.042857

false

0.014286

0.042857

0

0.128571

0.057143

0

null

0

null

0

1

0

03007634c85b96a08566af89f356d770fc155ed9

2,306

py

Python

experiments/architectures/PAE_network.py

Butters-cloud/denoising-normalizing-flow

12d56a0d069e10a744acabf5e78fdbfba8df54ee

[ "MIT" ]

12

2021-11-18T15:01:17.000Z

2022-02-22T16:17:42.000Z

experiments/architectures/PAE_network.py

Butters-cloud/denoising-normalizing-flow

12d56a0d069e10a744acabf5e78fdbfba8df54ee

[ "MIT" ]

2

2022-01-22T00:41:13.000Z

2022-02-01T15:41:42.000Z

experiments/architectures/PAE_network.py

Butters-cloud/denoising-normalizing-flow

12d56a0d069e10a744acabf5e78fdbfba8df54ee

[ "MIT" ]

1

2022-01-26T22:44:07.000Z

def infoGAN_encoder(params,is_training): is_training = tf.constant(is_training, dtype=tf.bool) def encoder(x): with tf.variable_scope('model/encoder',['x'], reuse=tf.AUTO_REUSE): net = lrelu(conv2d(x, 64, 4, 4, 2, 2, name='conv1', use_sn=True)) net = conv2d(net, 128, 4, 4, 2...

42.703704

196

0.602342

325

2,306

4.116923

0.249231

0.149477

0.147982

0.104634

0.704783

0.630792

0.505232

0.372197

0

0.042182

0.228968

2,306

53

197

43.509434

0.710349

0.009107

0

0.322581

0

0.114363

0

1

0.129032

false

0

0.258065

0

null

0

null

0

1

0

0301c782c51b1c6595901ee0b2e38930f8a7ecd2

2,344

py

Python

agents/a2c.py

TomMakkink/transformers-for-rl

9d025f92611e957004030af9ef05a07e320856a7

[ "MIT" ]

1

2022-03-09T20:44:27.000Z

agents/a2c.py

TomMakkink/transformers-for-rl

9d025f92611e957004030af9ef05a07e320856a7

[ "MIT" ]

null

agents/a2c.py

TomMakkink/transformers-for-rl

9d025f92611e957004030af9ef05a07e320856a7

[ "MIT" ]

null

from agents.agent import Agent from models.actor_critic_mlp import ActorCriticMLP import numpy as np import torch import torch.optim as optim from utils import plot_grad_flow class A2C(Agent): def __init__( self, state_size, action_size, hidden_size, memory, lr, ...

27.904762

83

0.58959

282

2,344

4.716312

0.319149

0.03609

0.042857

0.078947

0

0.006109

0.301621

2,344

83

84

28.240964

0.806353

0.018345

0

0.086957

0

1

0.086957

false

0

0.086957

0

0.231884

0

null

0

null

0

1

0

03026b2e47c7dd4c6d92ff2379d10e3b1de12161

329

py

Python

gan_train_parameters.py

Amitdedhia6/DrugDiscovery

c70dec96cee4d0d643a8b9de30530b6871fdf05e

[ "Apache-2.0" ]

null

gan_train_parameters.py

Amitdedhia6/DrugDiscovery

c70dec96cee4d0d643a8b9de30530b6871fdf05e

[ "Apache-2.0" ]

null

gan_train_parameters.py

Amitdedhia6/DrugDiscovery

c70dec96cee4d0d643a8b9de30530b6871fdf05e

[ "Apache-2.0" ]

null

from common import google_cloud class GANTrainParameters(): def __init__(self): self.num_epochs = 2000 self.batch_size = 10000 self.num_steps = 1 self.lr_d = 0.01 self.lr_g = 0.001 if not google_cloud: self.batch_size = 1 training_param = GANTrainPara...

19.352941

37

0.620061

43

329

4.44186

0.651163

0.115183

0.136126

0

0.078947

0.306991

329

16

38

20.5625

0.758772

0

1

0.090909

false

0

0.090909

0

0.272727

0

null

0

null

0

1

0

0306c30fc6b959f99f270569a581136d38981cb5

8,672

py

Python

tools/medico_classify.py

1512159/tf-faster-rcnn-medico

94c5cff76ef7bd271de050a8de53bd0145c6c8ec

[ "MIT" ]

null

tools/medico_classify.py

1512159/tf-faster-rcnn-medico

94c5cff76ef7bd271de050a8de53bd0145c6c8ec

[ "MIT" ]

null

tools/medico_classify.py

1512159/tf-faster-rcnn-medico

94c5cff76ef7bd271de050a8de53bd0145c6c8ec

[ "MIT" ]

null

#!/usr/bin/env python # -------------------------------------------------------- # Tensorflow Faster R-CNN # Licensed under The MIT License [see LICENSE for details] # Written by Xinlei Chen, based on code from Ross Girshick # -------------------------------------------------------- """ Demo script showing detections...

32.479401

148

0.602975

1,163

8,672

4.320722

0.291488

0.01791

0.022289

0.023881

0.155622

0.131741

0.102687

0.07602

0.056915

0

0.025181

0.23524

8,672

266

149

32.601504

0.732509

0.10286

0

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0

0.146291

0.028043

0

1

0.021164

false

0

0.111111

0

0.153439

0.079365

0

null

0

null

0

1

0

030752d970037ce742be150222524d388e311557

6,705

py

Python

speech.py

jsarchibald/room-designer

d90f39f6b7a98d66f2f4c09529aaa46aea68611b

[ "MIT" ]

null

speech.py

jsarchibald/room-designer

d90f39f6b7a98d66f2f4c09529aaa46aea68611b

[ "MIT" ]

null

speech.py

jsarchibald/room-designer

d90f39f6b7a98d66f2f4c09529aaa46aea68611b

[ "MIT" ]

null

import pygame import speech_recognition as sr from time import sleep import events import objects as obj_types from settings import SPEECH_CRED_FILE from speech_helpers import correct_text, either_side, get_after, get_position, get_positions, get_size, is_in_objects, process_relative, select_obj_type # A variable lis...

35.104712

207

0.595824

812

6,705

4.783251

0.235222

0.044799

0.065654

0.050978

0.32724

0.31102

0.257467

0.199279

0.168126

0.152935

0

0.001715

0.304101

6,705

190

208

35.289474

0.83069

0.11484

0

0.238095

0

0.08652

0

1

0.055556

false

0

0.055556

0

0.126984

0.015873

0

null

0

null

0

1

0

0309577959891e0612c1c6a69dda2ed2d8030359

600

py

Python

colosseum/mdps/river_swim/episodic/mdp.py

MichelangeloConserva/Colosseum

b0711fd9ce75520deb74cda75c148984a8e4152f

[ "MIT" ]

null

colosseum/mdps/river_swim/episodic/mdp.py

MichelangeloConserva/Colosseum

b0711fd9ce75520deb74cda75c148984a8e4152f

[ "MIT" ]

null

colosseum/mdps/river_swim/episodic/mdp.py

MichelangeloConserva/Colosseum

b0711fd9ce75520deb74cda75c148984a8e4152f

[ "MIT" ]

null

import gin from colosseum.loops import human_loop from colosseum.mdps import EpisodicMDP from colosseum.mdps.river_swim.river_swim import RiverSwimMDP @gin.configurable class RiverSwimEpisodic(EpisodicMDP, RiverSwimMDP): @property def _graph_layout(self): return {node: tuple(node) for node in self.G}...

21.428571

61

0.691667

75

600

5.266667

0.666667

0.098734

0.086076

0

0.023605

0.223333

600

27

62

22.222222

0.824034

0.056667

0

0.014184

0

1

0.052632

false

0

0.210526

0.052632

0.368421

0

null

0

null

0

1

0

030af46d63eb07552bbcb49eb543b45022dab354

16,780

py

Python

okokyst_station_mapping.py

trondkr/okokyst_toolbox

3d5484458e4f346d593beb5b268378c70d391abd

[ "MIT" ]

null

okokyst_station_mapping.py

trondkr/okokyst_toolbox

3d5484458e4f346d593beb5b268378c70d391abd

[ "MIT" ]

null

okokyst_station_mapping.py

trondkr/okokyst_toolbox

3d5484458e4f346d593beb5b268378c70d391abd

[ "MIT" ]

null

import numpy as np import pandas as pd import datetime from okokyst_metadata import surveys_lookup_table import os import re import glob import gsw from okokyst_tools import pressure_to_depth encoding = "ISO-8859-1" __author__ = 'Elizaveta Protsenko' __email__ = 'Elizaveta.Protsenko@niva.no' __created__ = datet...

35.475687

164

0.589035

2,126

16,780

4.454374

0.167921

0.021964

0.031679

0.040127

0.40982

0.360612

0.291658

0.232629

0.194403

0.190285

0

0.02644

0.280989

16,780

472

165

35.550847

0.758475

0.273123

0

0.259843

0

0.124896

0.029397

0

1

0.047244

false

0.015748

0.03937

0

0.114173

0.090551

0

null

0

null

0

1

0

030c9f62ddfe8e4538cc0711a16b8bb6b36078a9

715

py

Python

Python/350_Intersection_of_Two_arrays_II.py

simonecorbo99/hacktoberfest2019-leetcode

1e7150dafe337455616b2aea7a2cf2ffaf02cfd5

[ "MIT" ]

5

2019-10-01T17:07:36.000Z

2020-10-30T21:01:35.000Z

Python/350_Intersection_of_Two_arrays_II.py

simonecorbo99/hacktoberfest2019-leetcode

1e7150dafe337455616b2aea7a2cf2ffaf02cfd5

[ "MIT" ]

7

2019-10-05T17:52:33.000Z

2020-10-29T04:52:29.000Z

Python/350_Intersection_of_Two_arrays_II.py

simonecorbo99/hacktoberfest2019-leetcode

1e7150dafe337455616b2aea7a2cf2ffaf02cfd5

[ "MIT" ]

50

2019-10-01T21:07:07.000Z

2021-11-05T07:15:36.000Z

'''Given two arrays, write a function to compute their intersection. ''' class Solution(object): def intersect(self, nums1, nums2): """ :type nums1: List[int] :type nums2: List[int] :rtype: List[int] """ m,n=len(nums1),len(nums2) l=[] if len(nums1)...

23.833333

68

0.446154

82

715

3.890244

0.426829

0.037618

0.068966

0.100313

0.087774

0

0.04914

0.430769

715

29

69

24.655172

0.734644

0.18042

0

1

0.066667

false

0

0.2

0

null

0

null

0

1

0

030d393657be4aeb44ea123011d64e69a5d1d746

5,609

py

Python

dataset/egtea_gaze.py

AllenXuuu/DCR

2240b78ea7e03c43be8ba0a8649e6ab07db36fbd

[ "Apache-2.0" ]

null

dataset/egtea_gaze.py

AllenXuuu/DCR

2240b78ea7e03c43be8ba0a8649e6ab07db36fbd

[ "Apache-2.0" ]

null

dataset/egtea_gaze.py

AllenXuuu/DCR

2240b78ea7e03c43be8ba0a8649e6ab07db36fbd

[ "Apache-2.0" ]

null

from collections import defaultdict import json from pandas.core import frame import torch import pandas as pd import os import pickle as pkl import numpy as np import cv2 import h5py import tqdm import functools import lmdb class EGTEA_GAZE_DATASET(torch.utils.data.Dataset): def __init__(self, logger, config, ro...

33.386905

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0.54466

683

5,609

4.267936

0.234261

0.037736

0.033619

0.020583

0.142024

0.10566

0.058319

0.03705

0.026072

0

0.00997

0.338385

5,609

167

126

33.586826

0.775532

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0.100775

0.007752

0.193798

0

null

0

null

0

1

0

030da47412e4bfcf6e77f631335b3a50a2f71685

1,092

py

Python

LinkedList/Merge two sorted linked lists.py

Bomma-Pranay/InterviewBit

3bc436cffd3afc7a28c67042e1589fbe7547952f

[ "MIT" ]

null

LinkedList/Merge two sorted linked lists.py

Bomma-Pranay/InterviewBit

3bc436cffd3afc7a28c67042e1589fbe7547952f

[ "MIT" ]

null

LinkedList/Merge two sorted linked lists.py

Bomma-Pranay/InterviewBit

3bc436cffd3afc7a28c67042e1589fbe7547952f

[ "MIT" ]

null

''' Merge Two Sorted Lists Asked in: Microsoft Yahoo Amazon Merge two sorted linked lists and return it as a new list. The new list should be made by splicing together the nodes of the first two lists, and should also be sorted. For example, given following linked lists : 5 -> 8 -> 20 4 -> 11 -> 15 The merged ...

22.75

109

0.53022

158

1,092

3.639241

0.392405

0.043478

0.048696

0.055652

0.069565

0

0.05052

0.3837

1,092

47

110

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0.803863

0.462454

0

0.181818

0

0.001736

0

1

0.090909

false

0

0.272727

0

null

0

null

0

1

0

030e8114c7513a4a89a8a24f6c91ba6ed8c9d8ae

299

py

Python

Lista 1 Banin/ex08.py

qnomon/Python-Studies

dbd592cf2a161bb9ddbec66f020c602bddc6d44b

[ "MIT" ]

null

Lista 1 Banin/ex08.py

qnomon/Python-Studies

dbd592cf2a161bb9ddbec66f020c602bddc6d44b

[ "MIT" ]

null

Lista 1 Banin/ex08.py

qnomon/Python-Studies

dbd592cf2a161bb9ddbec66f020c602bddc6d44b

[ "MIT" ]

null

v = int(input('Digite um valor: ')) validador = 0 contador = 1 while contador < v: if v % contador == 0: validador += 1 contador +=1 if validador > 1: print(f'Esse número NÃO é primo, pois é divisível por {validador+1} números diferentes ') else: print('Esse número é primo')

27.181818

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4.266667

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0.15625

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0.030837

0.240803

299

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0.814978

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0.383333

0

1

0

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0

0.181818

0

null

0

null

0

1

0

03121b48c8c35b2b0f007ab147db73d43b9f5419

10,819

py

Python

python/cthreepo/core/models.py

sdss/cthreepo

86804657cae90bf69b77367a355bb49eb220a4b2

[ "BSD-3-Clause" ]

1

2019-06-19T09:30:39.000Z

python/cthreepo/core/models.py

sdss/cthreepo

86804657cae90bf69b77367a355bb49eb220a4b2

[ "BSD-3-Clause" ]

null

python/cthreepo/core/models.py

sdss/cthreepo

86804657cae90bf69b77367a355bb49eb220a4b2

[ "BSD-3-Clause" ]

null

# !/usr/bin/env python # -*- coding: utf-8 -*- # # Filename: models.py # Project: core # Author: Brian Cherinka # Created: Saturday, 12th September 2020 12:55:22 pm # License: BSD 3-clause "New" or "Revised" License # Copyright (c) 2020 Brian Cherinka # Last Modified: Saturday, 12th September 2020 12:55:22 pm # Modifie...

31.914454

100

0.634994

1,422

10,819

4.7609

0.199719

0.013442

0.009749

0.007681

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0.08449

0.074742

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0.004833

0.273315

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0.008197

0.057377

0

0.336066

0.008197

0

null

0

null

0

1

0

03124cf711ceb00968f5cacee727fb9c26ed3485

1,458

py

Python

project_src/deep_learning/pytorch_openai_transformer/datasets.py

tcvrick/COMP551-IMDB-Competition

64f83142c86e895db3a0ca037c31efb404910723

[ "MIT" ]

2

2019-08-12T13:47:21.000Z

2020-05-03T11:53:38.000Z

project_src/deep_learning/pytorch_openai_transformer/datasets.py

tcvrick/COMP551-IMDB-Competition

64f83142c86e895db3a0ca037c31efb404910723

[ "MIT" ]

null

project_src/deep_learning/pytorch_openai_transformer/datasets.py

tcvrick/COMP551-IMDB-Competition

64f83142c86e895db3a0ca037c31efb404910723

[ "MIT" ]

null

import re import html import pandas as pd re1 = re.compile(r' +') def imdb(fold_id: int, split_size: int): df = pd.read_pickle('df_train.pkl') df = df.reindex(columns=['sentiment', 'text']) df['text'] = df['text'].apply(fixup) # Split the data into k-folds. df_val = df[split_size * fold_id:split...

40.5

109

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1,458

4.187192

0.433498

0.049412

0.061176

0.070588

0.06

0

0.010906

0.182442

1,458

35

110

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0.121399

0

0.170713

0

1

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0

0.125

0

0.291667

0

null

0

null

0

1

0

031365d53b1a04b88852c96530151afb17b9aec7

1,136

py

Python

coyaml/cli.py

tailhook/coyaml

2de4f0d99446afb43d9e1a0cb576e048f47c108a

[ "MIT" ]

8

2015-01-28T15:08:38.000Z

2021-11-17T05:27:21.000Z

coyaml/cli.py

tailhook/coyaml

2de4f0d99446afb43d9e1a0cb576e048f47c108a

[ "MIT" ]

3

2016-06-08T09:55:12.000Z

2019-09-14T12:40:46.000Z

coyaml/cli.py

tailhook/coyaml

2de4f0d99446afb43d9e1a0cb576e048f47c108a

[ "MIT" ]

1

2015-05-28T12:22:16.000Z

from .core import Config def simple(): from optparse import OptionParser op = OptionParser(usage="\n %prog\n %prog -c config.yaml") op.add_option('-c', '--config', metavar="FILENAME", help="Configuration file to parse", dest="configfile", default=None, type="string") op.add_option...

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0.064562

0.12769

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1,136

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0

0.316901

0

1

0.037037

false

0

0.111111

0

0.185185

0.074074

0

null

0

null

0

1

0

03163282de6da6741659d1e1e50c91fdd514f086

869

py

Python

gtfs/stop.py

fabiotanniguchi/emdec-gtfs

823274d45263409d1d3ee56cf07f60e12d64003a

[ "WTFPL" ]

null

gtfs/stop.py

fabiotanniguchi/emdec-gtfs

823274d45263409d1d3ee56cf07f60e12d64003a

[ "WTFPL" ]

null

gtfs/stop.py

fabiotanniguchi/emdec-gtfs

823274d45263409d1d3ee56cf07f60e12d64003a

[ "WTFPL" ]

null

from google.appengine.ext import ndb from protorpc import messages from google.appengine.ext.ndb import msgprop from csvmodel import CsvModel class Stop(CsvModel): class LocationType(messages.Enum): STOP = 0 STATION = 1 class WheelchairBoarding(messages.Enum): UNKNOWN = 0 POSSI...

31.035714

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0.714614

100

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0.47

0.112211

0.062706

0.072607

0

0.007174

0.197929

869

27

67

32.185185

0.862267

0

0.027618

0

1

0

false

0

0.166667

0

0.791667

0

null

0

null

0

1

0

031a0bb9c7e7eb89c3804e46ae64112b02ade8a2

1,701

py

Python

appdaemon/settings/apps/presence/home/alarm_panel.py

monster1025/home-assistant

194723e228a798b99693220ad332a2c55d06e248

[ "Apache-2.0" ]

null

appdaemon/settings/apps/presence/home/alarm_panel.py

monster1025/home-assistant

194723e228a798b99693220ad332a2c55d06e248

[ "Apache-2.0" ]

null

appdaemon/settings/apps/presence/home/alarm_panel.py

monster1025/home-assistant

194723e228a798b99693220ad332a2c55d06e248

[ "Apache-2.0" ]

null

import appdaemon.plugins.hass.hassapi as hass # # Listen for presence sensor change state and change alarm control panel state. # # Args: # sensor - home presence 'sensor' # ha_panel - alarm control panel entity (to arm and disarm). # constraint - (optional, input_boolen), if turned off - alarm panel will be n...

36.978261

97

0.680188

239

1,701

4.677824

0.317992

0.071556

0.076029

0.039356

0.259392

0.218247

0

0.001461

0.195179

1,701

46

98

36.978261

0.815194

0.184597

0

0.25

0

0.209023

0.049624

0

1

0.178571

false

0

0.035714

0

0.357143

0

null

0

null

0

1

0

031c6ddb51fddc4e6b54071f60cd8121116d2c91

398

py

Python

general/scry_message.py

kcunning/gamemaster-scripts

ec0658e498807d9c7017da313ecf1b9ed3eb6862

[ "MIT" ]

15

2019-01-17T20:09:45.000Z

2022-01-05T15:56:32.000Z

general/scry_message.py

palikhov/CnM-GM-RPG-scripts

ec0658e498807d9c7017da313ecf1b9ed3eb6862

[ "MIT" ]

5

2020-04-27T19:48:54.000Z

2022-03-11T23:39:49.000Z

general/scry_message.py

palikhov/CnM-GM-RPG-scripts

ec0658e498807d9c7017da313ecf1b9ed3eb6862

[ "MIT" ]

8

2019-02-20T21:18:46.000Z

2021-04-30T03:43:20.000Z

from random import randint import datetime lvl = 10 base_rounds = 10 rounds = lvl * base_rounds print("You have", rounds, "rounds to try to get through.") for i in range(rounds): r = randint(1, 100) print(r) if r >= 96: break print("Number of rounds:", i) if i == rounds - 1: print("Nothing ...

19.9

58

0.645729

63

398

4.047619

0.587302

0.078431

0

0.038835

0.223618

398

20

59

19.9

0.786408

0

0.200501

0

1

0

false

0

0.125

0

0.125

0.3125

0

null

0

null

0

1

0

031df329773b42e6e3ea2acdd1a1f8a14ec08d3e

5,566

py

Python

src/qibo/tests/test_core_hamiltonians_trotter.py

mlazzarin/qibo

e82bc3e27c5182be7b6f0b23bd20bc1057e31701

[ "Apache-2.0" ]

81

2020-09-04T10:54:40.000Z

2021-05-17T13:20:38.000Z

src/qibo/tests/test_core_hamiltonians_trotter.py

mlazzarin/qibo

e82bc3e27c5182be7b6f0b23bd20bc1057e31701

[ "Apache-2.0" ]

201

2020-08-24T08:41:33.000Z

2021-05-18T12:23:19.000Z

src/qibo/tests/test_core_hamiltonians_trotter.py

mlazzarin/qibo

e82bc3e27c5182be7b6f0b23bd20bc1057e31701

[ "Apache-2.0" ]

13

2020-09-08T12:34:35.000Z

2021-04-29T22:46:21.000Z

"""Test Trotter Hamiltonian methods from `qibo/core/hamiltonians.py`.""" import pytest import numpy as np import qibo from qibo import hamiltonians, K from qibo.tests.utils import random_state, random_complex, random_hermitian @pytest.mark.parametrize("nqubits", [3, 4]) @pytest.mark.parametrize("model", ["TFIM", "XXZ...

40.333333

82

0.7129

769

5,566

4.972692

0.159948

0.046025

0.108264

0.112971

0.547071

0.489801

0.482479

0.43227

0.423117

0.412395

0

0.023326

0.168164

5,566

137

83

40.627737

0.802592

0.106899

0

0.3

0

0.008731

0

0.14

1

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false

0

0.08

0

0.16

0

null

0

null

0

1

0

031ef69a071c2f61a4e58bcde34b41a5a2f122f6

6,186

py

Python

models/utils/layers.py

icarus945/Torch_Detection

4cb8ca22a7fa2f45c72b60d794ae2a2ed1a35cd8

[ "MIT" ]

3

2018-12-23T14:07:39.000Z

2019-10-18T03:05:39.000Z

models/utils/layers.py

icarus945/Torch_Detection

4cb8ca22a7fa2f45c72b60d794ae2a2ed1a35cd8

[ "MIT" ]

20

2018-11-24T15:59:20.000Z

2019-01-30T16:42:25.000Z

models/utils/layers.py

icarus945/Torch_Detection

4cb8ca22a7fa2f45c72b60d794ae2a2ed1a35cd8

[ "MIT" ]

6

2018-11-14T13:12:24.000Z

2019-01-03T02:40:49.000Z

import warnings import torch.nn as nn def conv1x1_group(in_planes, out_planes, stride=1, groups=1): """ 1x1 convolution with group, without bias - Normal 1x1 convolution when groups == 1 - Grouped 1x1 convolution when groups > 1 """ return nn.Conv2d(in_channels=in_planes, ...

30.472906

79

0.534756

739

6,186

4.309878

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0.021978

0.022606

0.261852

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0.152276

0.117425

0.094819

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0.020502

0.369221

6,186

202

80

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0.795746

0.132881

0

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0

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0.02963

1

0.096296

false

0

0.014815

0

0.214815

0

null

0

null

0

1

0

031fd2613a36677be2ac3e5ad262f6fafd120692

1,073

py

Python

src/app.py

kangheeyong/PROJECT-datahub-api-server

1593603f0fbb6a2a027a677494b25584ebc91573

[ "MIT" ]

null

src/app.py

kangheeyong/PROJECT-datahub-api-server

1593603f0fbb6a2a027a677494b25584ebc91573

[ "MIT" ]

null

src/app.py

kangheeyong/PROJECT-datahub-api-server

1593603f0fbb6a2a027a677494b25584ebc91573

[ "MIT" ]

null

from sanic import Sanic from sanic.response import json from sanic_openapi import doc, swagger_blueprint from util import authorized app = Sanic(__name__) app.config["API_TITLE"] = "My-DataHub-OpenAPI" app.config["API_VERSION"] = "0.1.0" app.config["API_DESCRIPTION"] = "An example Swagger from Sanic-OpenAPI" app.co...

26.825

100

0.737185

155

1,073

4.922581

0.490323

0.070773

0.094364

0.049803

0

0.022822

0.101584

1,073

39

101

27.512821

0.768672

0

0.334579

0

1

0

false

0

0.153846

0

0.269231

0.076923

0

null

0

null

0

1

0

0323bfe0266dc12dfb65c5926feae4f31ef1770b

1,323

py

Python

bouser_db/service.py

MarsStirner/bouser.db

86c0cb8991b96b908af0dec7843e8ffbd0f18ae8

[ "0BSD" ]

null

bouser_db/service.py

MarsStirner/bouser.db

86c0cb8991b96b908af0dec7843e8ffbd0f18ae8

[ "0BSD" ]

null

bouser_db/service.py

MarsStirner/bouser.db

86c0cb8991b96b908af0dec7843e8ffbd0f18ae8

[ "0BSD" ]

null

# -*- coding: utf-8 -*- import contextlib import sqlalchemy import sqlalchemy.orm from twisted.application.service import Service from zope.interface.declarations import implementer from bouser.helpers.plugin_helpers import Dependency, BouserPlugin from .interfaces import IDataBaseService __author__ = 'mmalkov' @i...

24.962264

71

0.642479

136

1,323

6.132353

0.463235

0.065947

0.035971

0.043165

0.079137

0

0.005165

0.26833

1,323

52

72

25.442308

0.856405

0.015873

0

0.15

0

0.019246

0

1

0.125

false

0

0.175

0.025

0.4

0

null

0

null

0

1

0

03245e36530e8be45e6254760cac36f4e2d93c2b

581

py

Python

wavutils/wav_connect.py

makobouzu/rnnoise

3a3b854722cdc511860744e11bdbba22d63ed2b5

[ "BSD-3-Clause" ]

null

wavutils/wav_connect.py

makobouzu/rnnoise

3a3b854722cdc511860744e11bdbba22d63ed2b5

[ "BSD-3-Clause" ]

null

wavutils/wav_connect.py

makobouzu/rnnoise

3a3b854722cdc511860744e11bdbba22d63ed2b5

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from pydub import AudioSegment import sys import glob if __name__ == "__main__": args = sys.argv folder = glob.glob(args[1] + "/*.wav") initial = False for file in folder: soundfile = AudioSegment.from_file(file, "wav") if initial == False: soundfil...

26.409091

60

0.562823

66

581

4.80303

0.484848

0.047319

0.126183

0.107256

0.126183

0

0.012407

0.306368

581

21

61

27.666667

0.774194

0.036145

0

0.060932

0

1

0

false

0

0.176471

0

0.176471

0.058824

0

null

0

null

0

1

0

0326b6925c35f8d5ffa44459a0582e31350f4aa2

6,326

py

Python

attributes_data/nearestNeighborTest.py

aeksco/FRMA-Ontology

1eab8731bdad49328dddfbf52468d2a107d3f247

[ "MIT" ]

null

attributes_data/nearestNeighborTest.py

aeksco/FRMA-Ontology

1eab8731bdad49328dddfbf52468d2a107d3f247

[ "MIT" ]

1

2018-11-03T00:10:01.000Z

attributes_data/nearestNeighborTest.py

aeksco/FRMA-Ontology

1eab8731bdad49328dddfbf52468d2a107d3f247

[ "MIT" ]

2

2018-11-03T00:02:29.000Z

2018-11-03T00:11:53.000Z

""" This is a test that we're using to gather example data from our two example models. This is passed a list of image names, image numbers, and the vector representing the face in the photo, and this script takes that and a split of testing vs training data to determine how accurate the model was by simply checking wh...

42.743243

170

0.727948

1,017

6,326

4.39823

0.26057

0.022356

0.023251

0.013414

0.1167

0.064163

0.049184

0.033982

0

0.009176

0.173095

6,326

148

171

42.743243

0.845919

0.472969

0

0.042662

0

1

0.037975

false

0

0.025316

0

0.088608

0.063291

0

null

0

null

0

1

0

032895bcd14a3671ab5030eaa6c072fe010b5493

792

py

Python

Miscillanious/random_split_train_val.py

b-safwat/multi_action_recognition

1a85da64cf236b9fb7c9a58ae75bdd092d05fab8

[ "Apache-2.0" ]

1

2019-12-21T17:29:08.000Z

Miscillanious/random_split_train_val.py

b-safwat/multi_action_recognition

1a85da64cf236b9fb7c9a58ae75bdd092d05fab8

[ "Apache-2.0" ]

null

Miscillanious/random_split_train_val.py

b-safwat/multi_action_recognition

1a85da64cf236b9fb7c9a58ae75bdd092d05fab8

[ "Apache-2.0" ]

null

import numpy as np def save_list_to_file(z_list, z_file): with open(z_file, 'w') as fw: fw.writelines(z_list) def random_split_train_test(train_file, out_train_file, out_test_file, train_percentage=0.8): with open(train_file) as fr: lines = fr.readlines() np.random.shuffle(lines) t...

36

111

0.72096

125

792

4.192

0.32

0.068702

0.057252

0.080153

0.30916

0.209924

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0.214286

0

null

0

null

0

1

0

032a7743edf88f77da5c9d56359f55cc608dcd5a

3,596

py

Python

src/thompson/codered.py

thepolicylab/COVID-SMSExperiment

2eb41a2fea4858b7e794bb7a6af396f66d41f1a6

[ "MIT" ]

null

src/thompson/codered.py

thepolicylab/COVID-SMSExperiment

2eb41a2fea4858b7e794bb7a6af396f66d41f1a6

[ "MIT" ]

null

src/thompson/codered.py

thepolicylab/COVID-SMSExperiment

2eb41a2fea4858b7e794bb7a6af396f66d41f1a6

[ "MIT" ]

null

""" Functions and classes for interacting with the CodeRED data format """ from dataclasses import dataclass from typing import List, Optional, Union import pandas as pd from .types import FilenameType # The required headers for CodeRED EXCEL_HEADERS = ( "Command", "CustomKey", "ContactId", "First Na...

26.057971

87

0.629588

444

3,596

4.948198

0.326577

0.075102

0.102412

0.036413

0.071006

0.030951

0

0.003476

0.280033

3,596

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0

0.08671

0

1

0.033708

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0

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0

0.359551

0

null

0

null

0

1

0

032c7a1695749c8763dea4e548dc9e5de7308f19

2,516

py

Python

ecommercejockey/premier/admin/inlines.py

anniethiessen/dieselr-ecommerce

9268b72553845a4650cdfe7c88b398db3cf92258

[ "MIT" ]

null

ecommercejockey/premier/admin/inlines.py

anniethiessen/dieselr-ecommerce

9268b72553845a4650cdfe7c88b398db3cf92258

[ "MIT" ]

11

2020-06-06T00:04:26.000Z

2022-03-12T00:57:41.000Z

ecommercejockey/premier/admin/inlines.py

anniethiessen/ecommerce-jockey

9268b72553845a4650cdfe7c88b398db3cf92258

[ "MIT" ]

null

from imagekit.admin import AdminThumbnail from django.contrib.admin import TabularInline from core.admin.forms import LimitedInlineFormSet from core.admin.utils import ( get_change_view_link, get_changelist_view_link ) from ..models import PremierProduct class PremierManufacturerProductsTabularInline(Tabula...

26.208333

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0.027981

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0.045303

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2,516

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0.819475

0

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0.20151

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1

0.075949

false

0

0.063291

0.025316

0.405063

0

null

0

null

0

1

0

032de55c5e8bb65a3b5acc0d233be5fff6131de6

4,191

py

Python

dictionary_service.py

radomd92/botjagwar

1dc96600c40041057a9f9afde38c31ca34b8db38

[ "MIT" ]

7

2015-01-23T17:24:04.000Z

2022-01-12T16:54:24.000Z

dictionary_service.py

radomd92/botjagwar

1dc96600c40041057a9f9afde38c31ca34b8db38

[ "MIT" ]

18

2017-12-09T01:11:23.000Z

2021-09-22T13:26:24.000Z

dictionary_service.py

radomd92/botjagwar

1dc96600c40041057a9f9afde38c31ca34b8db38

[ "MIT" ]

1

2015-06-22T02:17:55.000Z

#!/usr/bin/python3 import argparse import logging as log from aiohttp import web from api.databasemanager import DictionaryDatabaseManager from api.dictionary import \ entry, \ definition, \ translation, \ configuration from api.dictionary import \ get_dictionary, \ get_dictionary_xml, \ g...

31.044444

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0.720353

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4,191

5.443609

0.244361

0.074586

0.099448

0.135014

0.28384

0.164365

0.098757

0

0.004098

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0.787158

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0.169492

0

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0

1

0

false

0

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0

0.059322

0

null

0

null

0

1

0

03308bb8046fd0dc61b44e11e40b5b2918967121

3,578

py

Python

classification/libs/utils.py

96lives/matrixlstm

83332111a459dd3fbca944898fffd935faac8820

[ "Apache-2.0" ]

19

2020-08-11T09:18:28.000Z

2022-03-10T13:53:13.000Z

N-ROD/evrepr/thirdparty/matrixlstm/classification/libs/utils.py

Chiaraplizz/home

18cc93a795ce132e05b886aa34565a102915b1c6

[ "MIT" ]

4

2021-01-04T11:55:50.000Z

2021-09-18T14:00:50.000Z

N-ROD/evrepr/thirdparty/matrixlstm/classification/libs/utils.py

Chiaraplizz/home

18cc93a795ce132e05b886aa34565a102915b1c6

[ "MIT" ]

4

2020-09-03T07:12:55.000Z

2021-08-19T11:37:55.000Z

import torch import numpy as np import re import itertools from textwrap import wrap import matplotlib.pyplot as plt def padding_mask(lengths, batch_size, time_size=None): """ Computes a [batch_size, time_size] binary mask which selects all and only the non padded values in the input tensor :param t...

31.946429

97

0.671325

545

3,578

4.297248

0.33945

0.0269

0.016652

0.021776

0.152861

0.105892

0.087105

0

0.026435

0.196478

3,578

111

98

32.234234

0.788174

0.259083

0

0.035088

0

0.030944

0

1

0.087719

false

0

0.105263

0

0.280702

0

null

0

null

0

1

0

03315e91b0c1b2d1e2f30824173b23c77f6b76f7

1,642

py

Python

faq_module/commands/faq_on_message.py

alentoghostflame/StupidAlentoBot

c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba

[ "MIT" ]

1

2021-12-12T02:50:20.000Z

faq_module/commands/faq_on_message.py

alentoghostflame/StupidAlentoBot

c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba

[ "MIT" ]

17

2020-02-07T23:40:36.000Z

2020-12-22T16:38:44.000Z

faq_module/commands/faq_on_message.py

alentoghostflame/StupidAlentoBot

c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba

[ "MIT" ]

null

from faq_module.storage import FAQManager # , FAQConfig, FAQData # from faq_module.commands import text # from discord.ext import commands # import faq_module.text # import logging import discord # import typing import re async def faq_on_message(faq_manager: FAQManager, message: discord.Message): embed = discor...

34.208333

122

0.685749

221

1,642

4.877828

0.352941

0.055659

0.038961

0.04731

0.06679

0

0.006907

0.206456

1,642

47

123

34.93617

0.820414

0.10475

0

0.023256

0

0.005472

0

1

0.103448

false

0

0.103448

0

0.310345

0

null

0

null

0

1

0

03337a286707757f1d435b3aaef9ca40f548193a

2,298

py

Python

tests/devices_test.py

jebabi/controllerx

bc68cdd69e416880e6394b3ecf92522b3871e959

[ "MIT" ]

null

tests/devices_test.py

jebabi/controllerx

bc68cdd69e416880e6394b3ecf92522b3871e959

[ "MIT" ]

null

tests/devices_test.py

jebabi/controllerx

bc68cdd69e416880e6394b3ecf92522b3871e959

[ "MIT" ]

null

from tests.utils import hass_mock, get_instances import devices as devices_module from core import Controller from core import type as type_module def _import_modules(file_dir, package): pkg_dir = os.path.dirname(file_dir) for (module_loader, name, ispkg) in pkgutil.iter_modules([pkg_dir]): if ispkg: ...

35.353846

88

0.656223

278

2,298

5.032374

0.291367

0.107219

0.051465

0.055754

0.276626

0.223731

0.184417

0

0.001176

0.260226

2,298

64

89

35.90625

0.821765

0

0.09434

0

0.137511

0.031332

0

1

0.09434

false

0

0.150943

0.018868

0.301887

0

null

0

null

0

1

0

0337794490e59afb0d50e7e70f8ff18f29c9d996

1,912

py

Python

Data Manipulation with pandas/Transforming-Data.py

shreejitverma/Data-Scientist

03c06936e957f93182bb18362b01383e5775ffb1

[ "MIT" ]

2

2022-03-12T04:53:03.000Z

2022-03-27T12:39:21.000Z

Data Manipulation with pandas/Transforming-Data.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

null

Data Manipulation with pandas/Transforming-Data.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

2

2022-03-12T04:52:21.000Z

2022-03-27T12:45:32.000Z

# Import pandas using the alias pd import pandas as pd # Print the head of the homelessness data print(homelessness.head()) # Print the values of homelessness print(homelessness.values) # Print the column index of homelessness print(homelessness.columns) # Print the row index of homelessness print(homelessness.i...

26.929577

82

0.780335

252

1,912

5.753968

0.269841

0.037241

0.06069

0.064138

0.073103

0

0.024625

0.129184

1,912

70

83

27.314286

0.846246

0.421548

0

0.191136

0

1

0

false

0

0.043478

0

0.043478

0.391304

0

null

0

null

0

1

0

033779b299ba043f0969f3a671cd13882ea21786

1,599

py

Python

models/bittrex.py

etherionlab/the_token_fund_asset_parser

c0d7346a8df6ca44992d7c852b58a114692865ae

[ "MIT" ]

6

2017-06-11T19:24:36.000Z

2017-09-21T21:17:15.000Z

models/bittrex.py

baby636/the-token-fund-asset-parser

c0d7346a8df6ca44992d7c852b58a114692865ae

[ "MIT" ]

4

2017-07-24T10:57:26.000Z

2017-07-30T10:09:42.000Z

models/bittrex.py

baby636/the-token-fund-asset-parser

c0d7346a8df6ca44992d7c852b58a114692865ae

[ "MIT" ]

6

2018-08-02T05:57:11.000Z

2021-02-09T06:55:22.000Z

import aiohttp from time import time import json from hashlib import sha512 import hmac from .fetcher import Fetcher class BittrexAPI(Fetcher): _URL = 'https://bittrex.com/api/v1.1/' _KEY = None _SECRET = None def __init__(self, key, secret): if key is None or secret is None: rai...

31.98

89

0.553471

164

1,599

5.286585

0.463415

0.024221

0.029988

0

0.008654

0.349594

1,599

49

90

32.632653

0.825

0

0.09631

0.023765

0

1

0.046512

false

0

0.139535

0

0.325581

0

null

0

null

0

1

0

033938e07676961c14e3b120f246c45a2d3f66be

1,051

py

Python

facerecognition.py

Srijani-Chakroborty/Face-Recognition-System

60b1ef10bd724ddcd5d9e35ec5639ae73917047c

[ "MIT" ]

1

2022-02-27T18:34:57.000Z

facerecognition.py

Srijani-Chakroborty/Face-Recognition-System

60b1ef10bd724ddcd5d9e35ec5639ae73917047c

[ "MIT" ]

null

facerecognition.py

Srijani-Chakroborty/Face-Recognition-System

60b1ef10bd724ddcd5d9e35ec5639ae73917047c

[ "MIT" ]

null

import cv2 import numpy as np face_classifier=cv2.CascadeClassifier('HaarCascade/haarcascade_frontalface_default.xml') def face_extractor(img): gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) faces=face_classifier.detectMultiScale(gray,1.3,5) if faces is(): return None for(x,y,w,h) in face...

30.911765

89

0.656518

152

1,051

4.427632

0.506579

0.041605

0.047548

0

0.054282

0.211227

1,051

34

90

30.911765

0.757539

0

0.114818

0.046124

0

1

0.032258

false

0.032258

0.064516

0

0.16129

0.064516

0

null

0

null

0

1

0