xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

b7e39de3f444fe8cb279979f19de1ae9ea72a25e

10,135

py

Python

paramak/parametric_components/blanket_fp.py

zmarkan/paramak

ecf9a46394adb4d6bb5744000ec6e2f74c30f2ba

[ "MIT" ]

null

paramak/parametric_components/blanket_fp.py

zmarkan/paramak

ecf9a46394adb4d6bb5744000ec6e2f74c30f2ba

[ "MIT" ]

null

paramak/parametric_components/blanket_fp.py

zmarkan/paramak

ecf9a46394adb4d6bb5744000ec6e2f74c30f2ba

[ "MIT" ]

null

import warnings from typing import Callable, List, Optional, Union import mpmath import numpy as np import paramak import sympy as sp from paramak import RotateMixedShape, diff_between_angles from paramak.parametric_components.tokamak_plasma_plasmaboundaries import \ PlasmaBoundaries from scipy.interpolate import...

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10,135

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null

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b7e4fae61f0aabd32e88f180183fcddc115ab0ca

4,352

py

Python

airbyte-integrations/connectors/source-plaid/source_plaid/source.py

OTRI-Unipd/OTRI-airbyte

50eeeb773f75246e86c6e167b0cd7d2dda6efe0d

[ "MIT" ]

2

2022-03-02T13:46:05.000Z

2022-03-05T12:31:28.000Z

airbyte-integrations/connectors/source-plaid/source_plaid/source.py

OTRI-Unipd/OTRI-airbyte

50eeeb773f75246e86c6e167b0cd7d2dda6efe0d

[ "MIT" ]

29

2021-10-07T17:20:29.000Z

2021-12-27T13:07:09.000Z

airbyte-integrations/connectors/source-plaid/source_plaid/source.py

OTRI-Unipd/OTRI-airbyte

50eeeb773f75246e86c6e167b0cd7d2dda6efe0d

[ "MIT" ]

1

2021-07-30T07:24:51.000Z

# # Copyright (c) 2021 Airbyte, Inc., all rights reserved. # import datetime import json from typing import Any, Iterable, List, Mapping, MutableMapping, Optional, Tuple, Union import plaid from airbyte_cdk.logger import AirbyteLogger from airbyte_cdk.models import SyncMode from airbyte_cdk.sources import AbstractSou...

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null

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b7e5547eb715244c2608406503ff045d83d45b75

17,939

py

Python

demo/demo.py

taewhankim/DeepHRnet

c316b4a9f5f3002f6fcc0398c12d80de82195ef0

[ "MIT" ]

null

demo/demo.py

taewhankim/DeepHRnet

c316b4a9f5f3002f6fcc0398c12d80de82195ef0

[ "MIT" ]

null

demo/demo.py

taewhankim/DeepHRnet

c316b4a9f5f3002f6fcc0398c12d80de82195ef0

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import csv import os import shutil from PIL import Image import torch import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim import torch.utils.data import torch.utils...

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null

0

null

0

1

0

b7e6129db622711592b894cfa7f14f8bbe198a09

2,749

py

Python

feemodeldata/plotting/plotwaits.py

bitcoinfees/bitcoin-feemodel-data

3eb09cf2a64b1aa23d328484bbcd7e4d55291898

[ "MIT" ]

2

2015-07-10T20:14:54.000Z

2017-06-08T11:01:03.000Z

feemodeldata/plotting/plotwaits.py

bitcoinfees/bitcoin-feemodel-data

3eb09cf2a64b1aa23d328484bbcd7e4d55291898

[ "MIT" ]

null

feemodeldata/plotting/plotwaits.py

bitcoinfees/bitcoin-feemodel-data

3eb09cf2a64b1aa23d328484bbcd7e4d55291898

[ "MIT" ]

null

from __future__ import division import sqlite3 from bisect import bisect_left import plotly.plotly as py from plotly.graph_objs import Scatter, Figure, Layout, Data, YAxis, XAxis from feemodel.util import DataSample from feemodel.app.predict import PVALS_DBFILE from feemodeldata.plotting.plotrrd import BASEDIR de...

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2,749

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0.066667

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null

0

null

0

1

0

b7e7c6200dfbf2600bb1a1bc581331cb427697e7

5,181

py

Python

utils/pytorch_utils.py

shoegazerstella/BTC-ISMIR19

fc4c8ef792711460d98b502ddc2e5befc800d2e5

[ "MIT" ]

1

2020-07-23T23:46:24.000Z

utils/pytorch_utils.py

shoegazerstella/BTC-ISMIR19

fc4c8ef792711460d98b502ddc2e5befc800d2e5

[ "MIT" ]

null

utils/pytorch_utils.py

shoegazerstella/BTC-ISMIR19

fc4c8ef792711460d98b502ddc2e5befc800d2e5

[ "MIT" ]

null

import torch import torch.nn.functional as F from torch.autograd import Variable import numpy as np import os import math from utils import logger use_cuda = torch.cuda.is_available() # utility def to_var(x, dtype=None): if type(x) is np.ndarray: x = torch.from_numpy(x) elif type(x) is list: ...

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null

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null

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1

0

b7ea33cae6c817255b7381a86f5b2cf3631857b7

933

py

Python

Course 01 - Getting Started with Python/Extra Studies/Basics/ex022.py

marcoshsq/python_practical_exercises

77136cd4bc0f34acde3380ffdc5af74f7a960670

[ "MIT" ]

9

2022-03-22T16:45:17.000Z

2022-03-25T20:22:35.000Z

Course 01 - Getting Started with Python/Extra Studies/Basics/ex022.py

marcoshsq/python_practical_exercises

77136cd4bc0f34acde3380ffdc5af74f7a960670

[ "MIT" ]

null

Course 01 - Getting Started with Python/Extra Studies/Basics/ex022.py

marcoshsq/python_practical_exercises

77136cd4bc0f34acde3380ffdc5af74f7a960670

[ "MIT" ]

3

2022-03-22T17:03:38.000Z

2022-03-29T17:20:55.000Z

import math # Exercise 017: Right Triangle """Write a program that reads the length of the opposite side and the adjacent side of a right triangle. Calculate and display the length of the hypotenuse.""" # To do this we will use the Pythagorean theorem: a^2 = b^2 + c^2 # Method 01, without the module Math: # First we...

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null

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null

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1

0

b7eda2093d6d54b12bba13592c13c99ac642ca74

15,883

py

Python

eventsourcing/application/actors.py

vladimirnani/eventsourcing

f49d2b9aaa585073aca4dc20c59d46db5a14eb57

[ "BSD-3-Clause" ]

1

2020-02-10T08:12:31.000Z

eventsourcing/application/actors.py

vladimirnani/eventsourcing

f49d2b9aaa585073aca4dc20c59d46db5a14eb57

[ "BSD-3-Clause" ]

null

eventsourcing/application/actors.py

vladimirnani/eventsourcing

f49d2b9aaa585073aca4dc20c59d46db5a14eb57

[ "BSD-3-Clause" ]

null

import logging from thespian.actors import * from eventsourcing.application.process import ProcessApplication, Prompt from eventsourcing.application.system import System, SystemRunner from eventsourcing.domain.model.events import subscribe, unsubscribe from eventsourcing.interface.notificationlog import RecordManager...

37.637441

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null

0

null

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0

b7edb2af66a1ef0492b215ff19713cb25d91778e

4,517

py

Python

sudoku/board.py

DariaMinieieva/sudoku_project

acfe6b6ff4e0343ad0dae597e783f9da40a7faee

[ "MIT" ]

5

2021-05-27T09:26:30.000Z

2021-05-28T10:33:46.000Z

sudoku/board.py

DariaMinieieva/sudoku_project

acfe6b6ff4e0343ad0dae597e783f9da40a7faee

[ "MIT" ]

null

sudoku/board.py

DariaMinieieva/sudoku_project

acfe6b6ff4e0343ad0dae597e783f9da40a7faee

[ "MIT" ]

1

2021-05-28T08:43:05.000Z

"""This module implements backtracking algorithm to solve sudoku.""" class Board: """ Class for sudoku board representation. """ NUMBERS = [1, 2, 3, 4, 5, 6, 7, 8, 9] def __init__(self, board): """ Create a new board. """ self.board = board def __str__(self) ...

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null

0

null

0

1

0

b7f62fa1d5695f548ee6f73816a2ab82ef2fbcfd

1,318

py

Python

apps/transmissions/views/transmissions.py

felipebarraza6/amamaule

1da7cd542a7e610bc8fa230684770732a41520c9

[ "MIT" ]

null

apps/transmissions/views/transmissions.py

felipebarraza6/amamaule

1da7cd542a7e610bc8fa230684770732a41520c9

[ "MIT" ]

null

apps/transmissions/views/transmissions.py

felipebarraza6/amamaule

1da7cd542a7e610bc8fa230684770732a41520c9

[ "MIT" ]

null

from rest_framework import mixins, viewsets, status from rest_framework.permissions import ( AllowAny, IsAuthenticated ) from apps.transmissions.models import Transmission from apps.transmissions.serializers import TransmissionModelSerializer, CommentModelserializer from django_filters import rest_framework a...

30.651163

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7.559633

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null

0

null

0

1

0

b7f67bcee29d8224470eff2f3efe74022a5ab08f

4,751

py

Python

amstramdam/events/game.py

felix-martel/multigeo

2a1af9abae1fcef399744f6d88c4b1c25e8a25ab

[ "CC-BY-4.0", "CC0-1.0" ]

3

2020-11-28T15:00:56.000Z

2021-04-06T14:10:47.000Z

amstramdam/events/game.py

felix-martel/amstramdam

7142c34bda5aecfb5f7059a576a0ea7015a1edbc

[ "CC0-1.0", "CC-BY-4.0" ]

9

2021-04-11T17:28:57.000Z

2022-02-19T13:53:35.000Z

amstramdam/events/game.py

felix-martel/multigeo

2a1af9abae1fcef399744f6d88c4b1c25e8a25ab

[ "CC-BY-4.0", "CC0-1.0" ]

2

2020-11-17T09:34:50.000Z

2020-11-28T14:57:58.000Z

from amstramdam import app, socketio, timers, manager from flask import session from flask_socketio import emit from .types import GameEndNotification, GameEndPayload from .utils import safe_cancel, wait_and_run from ..game.types import GameName, Coordinates def terminate_game(game_name: GameName) -> None: game ...

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b7f6d5055a8a870cf0186a412e583a2dc0833fd5

1,515

py

Python

src/glod/unittests/in_out/test_statement_csv.py

gordon-elliott/glod

a381e21455d05d9c005942a3dee4ac67e10f366a

[ "MIT" ]

null

src/glod/unittests/in_out/test_statement_csv.py

gordon-elliott/glod

a381e21455d05d9c005942a3dee4ac67e10f366a

[ "MIT" ]

1

2021-03-10T16:48:34.000Z

src/glod/unittests/in_out/test_statement_csv.py

gordon-elliott/glod

a381e21455d05d9c005942a3dee4ac67e10f366a

[ "MIT" ]

null

__copyright__ = 'Copyright(c) Gordon Elliott 2017' """ """ from datetime import date from decimal import Decimal from io import StringIO from unittest import TestCase from glod.model.statement_item import StatementItem from glod.model.account import Account from glod.in_out.statement_item import statement_item_csv...

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null

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null

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b7f7145927c059a2c43b18ff8ea2eb1911103a21

1,072

py

Python

ExifExtractor.py

MalwareJunkie/PythonScripts

ad827a8aafaae4a50970c9df11b674f4472eb371

[ "MIT" ]

null

ExifExtractor.py

MalwareJunkie/PythonScripts

ad827a8aafaae4a50970c9df11b674f4472eb371

[ "MIT" ]

null

ExifExtractor.py

MalwareJunkie/PythonScripts

ad827a8aafaae4a50970c9df11b674f4472eb371

[ "MIT" ]

null

# Tested with Python 3.6 # Install Pillow: pip install pillow """ This script extracts exif data from JPEG images """ from PIL import Image from PIL.ExifTags import TAGS import sys def getExif(img): res = {} exif = img._getexif() if exif == None: print("No exif data found!!") ...

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null

0

null

0

1

0

b7f7e17dac70dc7137a4fbc2c1596760a4b65113

9,537

py

Python

testFiles/test_script.py

Janga-Lab/Penguin-1

f6162be3549c470416da0fab590ae7d04c74bfa5

[ "MIT" ]

null

testFiles/test_script.py

Janga-Lab/Penguin-1

f6162be3549c470416da0fab590ae7d04c74bfa5

[ "MIT" ]

null

testFiles/test_script.py

Janga-Lab/Penguin-1

f6162be3549c470416da0fab590ae7d04c74bfa5

[ "MIT" ]

null

import h5py from ont_fast5_api.conversion_tools import multi_to_single_fast5 from ont_fast5_api import fast5_interface import SequenceGenerator.align as align import SignalExtractor.Nanopolish as events from testFiles.test_commands import * import os, sys import subprocess #todo get basecall data def bas...

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null

0

null

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1

0

b7f8f59fb0fb637edfdf3e834168a1ea050cd659

3,912

py

Python

eda_rf.py

lel23/Student-Performance-Prediction

93f850d299f6e6ad88a90e606f494fcd931e56b6

[ "MIT" ]

1

2021-11-27T01:55:44.000Z

eda_rf.py

lel23/Student-Performance-Prediction

93f850d299f6e6ad88a90e606f494fcd931e56b6

[ "MIT" ]

null

eda_rf.py

lel23/Student-Performance-Prediction

93f850d299f6e6ad88a90e606f494fcd931e56b6

[ "MIT" ]

1

2021-12-13T15:46:43.000Z

""" Final Project EDA """ import pandas as pd import matplotlib.pyplot as plt from mlxtend.plotting import scatterplotmatrix import numpy as np import seaborn as sns from imblearn.over_sampling import SMOTE from sklearn.utils import resample from mlxtend.plotting import heatmap from sklearn.ensemble import RandomFore...

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0

null

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null

0

1

0

b7f97933fc0d2a4db780092adb873088bd108cdc

3,771

py

Python

feastruct/fea/utils.py

geosharma/feastruct

67cbf1c07d5f718c5eed4a1ac69e5cf0dc588ca1

[ "MIT" ]

37

2018-11-08T12:51:53.000Z

2022-02-01T19:40:48.000Z

feastruct/fea/utils.py

geosharma/feastruct

67cbf1c07d5f718c5eed4a1ac69e5cf0dc588ca1

[ "MIT" ]

2

2018-11-01T12:39:24.000Z

2022-01-23T01:26:47.000Z

feastruct/fea/utils.py

geosharma/feastruct

67cbf1c07d5f718c5eed4a1ac69e5cf0dc588ca1

[ "MIT" ]

12

2019-04-09T04:14:02.000Z

2022-01-08T14:04:32.000Z

import numpy as np def gauss_points(el_type, n): """Returns the Gaussian weights and locations for *n* point Gaussian integration of a finite element. Refer to xxx for a list of the element types. :param string el_type: String describing the element type :param int n: Number of Gauss points :retu...

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0.421904

0

0.150943

0

0.00385

0

1

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0

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0

0.09434

0

null

0

null

0

1

0

b7f9ec5f1030d590ec1e3d249bcbd427149dded0

1,447

py

Python

webscrap.py

ircykk/webscrap

b43d2a1075dbe6c6644391c3b79785375b207559

[ "MIT" ]

null

webscrap.py

ircykk/webscrap

b43d2a1075dbe6c6644391c3b79785375b207559

[ "MIT" ]

2

2021-03-31T19:16:56.000Z

2021-12-13T20:19:00.000Z

webscrap.py

ircykk/webscrap

b43d2a1075dbe6c6644391c3b79785375b207559

[ "MIT" ]

null

import requests import time import argparse import sys import os from bs4 import BeautifulSoup from urllib.parse import urlparse def is_url(url): try: result = urlparse(url) return all([result.scheme, result.netloc]) except ValueError: return False def fetch_urls(page): r = requests.get(page) soup =...

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223

1,447

4.412556

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0.051829

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0

0.007329

0.151348

1,447

62

84

23.33871

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0.052522

0

0.043478

0

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0

1

0.065217

false

0

0.152174

0

0.26087

0.086957

0

null

0

null

0

1

0

b7fa464b97651a98f542160b4536fc5d2f36512c

3,035

py

Python

lib/recipetool/shift_oelint_adv/rule_base/rule_var_src_uri_checksum.py

shift-left-test/meta-shift

effce9bea894f990703cc047157e3f30d53d9365

[ "MIT" ]

2

2022-01-19T02:39:43.000Z

2022-02-07T01:58:17.000Z

lib/recipetool/shift_oelint_adv/rule_base/rule_var_src_uri_checksum.py

shift-left-test/meta-shift

effce9bea894f990703cc047157e3f30d53d9365

[ "MIT" ]

null

lib/recipetool/shift_oelint_adv/rule_base/rule_var_src_uri_checksum.py

shift-left-test/meta-shift

effce9bea894f990703cc047157e3f30d53d9365

[ "MIT" ]

null

from shift_oelint_parser.cls_item import Variable from shift_oelint_adv.cls_rule import Rule from shift_oelint_parser.helper_files import get_scr_components from shift_oelint_parser.parser import INLINE_BLOCK class VarSRCUriOptions(Rule): def __init__(self): super(VarSRCUriOptions, self).__init__(id="oeli...

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0.04481

0.048544

0.187453

0.116505

0.070202

0

0.027501

0.436903

3,035

73

94

41.575342

0.755998

0

0.208955

0

0.093575

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0

1

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false

0

0.059701

0

0.119403

0

null

0

null

0

1

0

b7fab4376dcf24e3dbd079130cdac6cf32133a5b

1,084

py

Python

verba/apps/auth/backends.py

nhsuk/verba

c0354ae2012a046e7f7cc7482e293737de9d28bc

[ "MIT" ]

null

verba/apps/auth/backends.py

nhsuk/verba

c0354ae2012a046e7f7cc7482e293737de9d28bc

[ "MIT" ]

2

2016-08-11T09:30:41.000Z

2016-08-11T15:04:08.000Z

verba/apps/auth/backends.py

nhsuk/verba

c0354ae2012a046e7f7cc7482e293737de9d28bc

[ "MIT" ]

1

2021-04-11T07:41:27.000Z

from github import User as GitHubUser from github.auth import get_token from github.exceptions import AuthValidationError from . import get_user_model class VerbaBackend(object): """ Django authentication backend which authenticates against the GitHub API. """ def authenticate(self, code=None): ...

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1,084

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78

29.297297

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0

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0

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0

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0

0.416667

0

null

0

null

0

1

0

b7fb6f9d3e04e66224e9cdb811584decc5862d2f

798

py

Python

examples/apds9960_color_simpletest.py

tannewt/Adafruit_CircuitPython_APDS9960

becfa166b91124aa0f2ed1e5bb1ecee7a4d86fab

[ "MIT" ]

null

examples/apds9960_color_simpletest.py

tannewt/Adafruit_CircuitPython_APDS9960

becfa166b91124aa0f2ed1e5bb1ecee7a4d86fab

[ "MIT" ]

null

examples/apds9960_color_simpletest.py

tannewt/Adafruit_CircuitPython_APDS9960

becfa166b91124aa0f2ed1e5bb1ecee7a4d86fab

[ "MIT" ]

null

import time import board import busio import digitalio from adafruit_apds9960.apds9960 import APDS9960 from adafruit_apds9960 import colorutility i2c = busio.I2C(board.SCL, board.SDA) int_pin = digitalio.DigitalInOut(board.A2) apds = APDS9960(i2c) apds.enable_color = True while True: #create some variables to st...

24.9375

84

0.699248

119

798

4.605042

0.478992

0.065693

0.016423

0

0.046368

0.189223

798

31

85

25.741935

0.800618

0.155388

0

0.074516

0

1

0

false

0

0.285714

0

0.285714

0

null

0

null

0

1

0

b7fcfd8dcf5ce827a8535f6ece099e74d61fb49d

15,109

py

Python

Analysis/CardioVascularLab/ExVivo/exvivo.py

sassystacks/TissueMechanicsLab

0f881a57ebf7cbadfeb2041daabd4e4b79b25b91

[ "MIT" ]

null

Analysis/CardioVascularLab/ExVivo/exvivo.py

sassystacks/TissueMechanicsLab

0f881a57ebf7cbadfeb2041daabd4e4b79b25b91

[ "MIT" ]

null

Analysis/CardioVascularLab/ExVivo/exvivo.py

sassystacks/TissueMechanicsLab

0f881a57ebf7cbadfeb2041daabd4e4b79b25b91

[ "MIT" ]

null

import sys sys.path.append('..') from Analyzer.TransitionProperties import ProcessTransitionProperties from tkinter import * from tkinter import messagebox, ttk, filedialog # from tkFileDialog import * import uniaxanalysis.getproperties as getprops from uniaxanalysis.plotdata import DataPlotter from uniaxanalysis.sav...

38.347716

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15,109

5.352797

0.258144

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0.015501

0.014468

0.236767

0.199219

0.142152

0.110231

0.073487

0

0.018566

0.283473

15,109

393

171

38.445293

0.785886

0.127606

0

0.090452

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0.015122

0

1

0.060302

false

0

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0

0.130653

0.015075

0

null

0

null

0

1

0

b7fdfc063cfae7dcf94caa90899dd03c0a4da68d

8,028

py

Python

cats/cats.py

BrandtH22/CAT-admin-tool

f58f76e5b3af5484089652616c17c669c4adebb7

[ "Apache-2.0" ]

1

2022-03-22T21:59:15.000Z

cats/cats.py

BrandtH22/CAT-admin-tool

f58f76e5b3af5484089652616c17c669c4adebb7

[ "Apache-2.0" ]

null

cats/cats.py

BrandtH22/CAT-admin-tool

f58f76e5b3af5484089652616c17c669c4adebb7

[ "Apache-2.0" ]

null

import click import aiohttp import asyncio import re import json from typing import Optional, Tuple, Iterable, Union, List from blspy import G2Element, AugSchemeMPL from chia.cmds.wallet_funcs import get_wallet from chia.rpc.wallet_rpc_client import WalletRpcClient from chia.util.default_root import DEFAULT_ROOT_PATH...

29.733333

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8,028

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0.014028

0

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115

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0

0.134199

0.051948

0

null

0

null

0

1

0

b7ff6526e37679ba17f2e315aceade4303222790

1,997

py

Python

tagging/tag_net.py

zhuzhutingru123/Semantics-AssistedVideoCaptioning

28c7b3fa57964f734f0fb38ecb89c9e8e21e5aaf

[ "MIT" ]

55

2019-09-23T12:21:47.000Z

2022-03-29T19:50:57.000Z

tagging/tag_net.py

zhuzhutingru123/Semantics-AssistedVideoCaptioning

28c7b3fa57964f734f0fb38ecb89c9e8e21e5aaf

[ "MIT" ]

13

2019-10-02T05:10:03.000Z

2021-11-03T11:33:32.000Z

tagging/tag_net.py

WingsBrokenAngel/Semantics-AssistedVideoCaptioning

409ca8b5be336d8957f3345825c8815a3070af19

[ "MIT" ]

15

2019-09-20T07:10:47.000Z

2022-03-11T09:05:18.000Z

# -*- coding: utf-8 -*- # Author: Haoran Chen # Date: 2019-4-28 import tensorflow as tf from tensorflow import placeholder, glorot_normal_initializer, zeros_initializer from tensorflow.nn import dropout import numpy as np n_z = 3584 n_y = 300 MSVD_PATH = None MSRVTT_PATH = None MSVD_GT_PATH = None MSRVTT_GT_PATH = No...

33.847458

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0.613921

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1,997

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0.066383

0.053617

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0.115745

0.049362

0

0.065963

0.240861

1,997

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102

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0

0.05

0

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0

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0

0.15

0

null

0

null

0

1

0

b7ffe90a656352b24d635be78e2f3b9924c3cd33

1,625

py

Python

example/keraslogistic/cloudmesh_ai/logistic_regression.py

cloudmesh-community/fa19-516-174

1b1aed0dcb4aa2fbe70de86a281c089a75f7aa72

[ "Apache-2.0" ]

null

example/keraslogistic/cloudmesh_ai/logistic_regression.py

cloudmesh-community/fa19-516-174

1b1aed0dcb4aa2fbe70de86a281c089a75f7aa72

[ "Apache-2.0" ]

null

example/keraslogistic/cloudmesh_ai/logistic_regression.py

cloudmesh-community/fa19-516-174

1b1aed0dcb4aa2fbe70de86a281c089a75f7aa72

[ "Apache-2.0" ]

null

import pandas as pd from cloudmesh import mongo from flask import request from flask_pymongo import PyMongo from sklearn.feature_selection import SelectKBest, chi2 from sklearn.linear_model import LogisticRegression from sklearn.metrics import accuracy_score from .file import upload def fit(body): # Put input file...

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1,625

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88

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0.034483

0

null

0

null

0

1

0

4d009e96e973b11eba741f0ee1dbc7d7ed84b7ed

2,629

py

Python

rescan-script.py

fivepiece/electrum-personal-server

dae6eb3954f3916e13aa88969a5b6ac65a488a13

[ "MIT" ]

null

rescan-script.py

fivepiece/electrum-personal-server

dae6eb3954f3916e13aa88969a5b6ac65a488a13

[ "MIT" ]

null

rescan-script.py

fivepiece/electrum-personal-server

dae6eb3954f3916e13aa88969a5b6ac65a488a13

[ "MIT" ]

null

#! /usr/bin/python3 from configparser import ConfigParser, NoSectionError, NoOptionError from electrumpersonalserver.jsonrpc import JsonRpc, JsonRpcError from datetime import datetime import server def search_for_block_height_of_date(datestr, rpc): target_time = datetime.strptime(datestr, "%d/%m/%Y") bestbloc...

36.013699

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2,629

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0.05985

0.071072

0.168329

0.082294

0

0.010045

0.242678

2,629

72

80

36.513889

0.79558

0.02016

0

0.140625

0

0.1979

0

1

0.03125

false

0.046875

0.0625

0

0.21875

0.0625

0

null

0

null

0

1

0

4d014fe4ec193e53774cf70e289d81ecdf7c7e43

1,205

py

Python

setup.py

OriHoch/ckan-cloud-operator

125c3eb10f843ac62fc85659e756bd1d9620eae7

[ "MIT" ]

null

setup.py

OriHoch/ckan-cloud-operator

125c3eb10f843ac62fc85659e756bd1d9620eae7

[ "MIT" ]

null

setup.py

OriHoch/ckan-cloud-operator

125c3eb10f843ac62fc85659e756bd1d9620eae7

[ "MIT" ]

null

from setuptools import setup, find_packages from os import path from time import time here = path.abspath(path.dirname(__file__)) if path.exists("VERSION.txt"): # this file can be written by CI tools (e.g. Travis) with open("VERSION.txt") as version_file: version = version_file.read().strip().strip("v...

25.638298

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137

1,205

4.948905

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0.066372

0.100295

0

0.027902

0.256432

1,205

46

67

26.195652

0.728795

0.13029

0

0.306436

0.026897

0

1

0

false

0

0.081081

0

0.081081

0

null

0

null

0

1

0

4d01db8b99d5d581962d295f65f32a07a2a32b59

652

py

Python

extension/magic/activate.py

ianpreston/oh-my-py

17e37974c203cb28aa2de340c6ac66143c16bd4e

[ "Unlicense", "MIT" ]

3

2016-04-10T20:08:57.000Z

2021-12-05T19:03:37.000Z

extension/magic/activate.py

ianpreston/oh-my-py

17e37974c203cb28aa2de340c6ac66143c16bd4e

[ "Unlicense", "MIT" ]

null

extension/magic/activate.py

ianpreston/oh-my-py

17e37974c203cb28aa2de340c6ac66143c16bd4e

[ "Unlicense", "MIT" ]

null

import os import os.path def activate(ipython, venv): """ Shortcut to run execfile() on `venv`/bin/activate_this.py """ venv = os.path.abspath(venv) venv_activate = os.path.join(venv, 'bin', 'activate_this.py') if not os.path.exists(venv_activate): print('Not a virtualenv: {}'.format(...

25.076923

70

0.662577

90

652

4.633333

0.466667

0.057554

0.100719

0.091127

0.100719

0

0.194785

652

25

71

26.08

0.794286

0.18865

0

0.175439

0

1

0.142857

false

0

0.142857

0

0.357143

0.142857

0

null

0

null

0

1

0

4d03f7e180eeb633a961138f2a85fdbfb2a84df1

1,786

py

Python

tempest/api/queuing/test_queues.py

NetApp/tempest

dd86b1517ec5ac16c26975ed0ce0d8b7ddcac6cc

[ "Apache-2.0" ]

null

tempest/api/queuing/test_queues.py

NetApp/tempest

dd86b1517ec5ac16c26975ed0ce0d8b7ddcac6cc

[ "Apache-2.0" ]

null

tempest/api/queuing/test_queues.py

NetApp/tempest

dd86b1517ec5ac16c26975ed0ce0d8b7ddcac6cc

[ "Apache-2.0" ]

null

# Copyright (c) 2014 Rackspace, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wr...

29.278689

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0.702688

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1,786

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0.051261

0.034174

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0

0.00977

0.197648

1,786

60

70

29.766667

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0

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0

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false

0

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0

0.37931

0

null

0

null

0

1

0

4d04bfd380e253ed326e19219946bfffe57dc0dc

10,757

py

Python

tests/gdata_tests/live_client_test.py

lqc/google-data-api

b720582a472d627a0853d02e51e13dbce4cfe6ae

[ "Apache-2.0" ]

null

tests/gdata_tests/live_client_test.py

lqc/google-data-api

b720582a472d627a0853d02e51e13dbce4cfe6ae

[ "Apache-2.0" ]

null

tests/gdata_tests/live_client_test.py

lqc/google-data-api

b720582a472d627a0853d02e51e13dbce4cfe6ae

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright (C) 2009 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable ...

35.50165

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4.910591

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0.397199

0.337535

0

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0

0.04902

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0.176471

0

null

0

null

0

1

0

4d098b2bde7f0fef38c7be3632c1ac962fd07aad

125,107

py

Python

spaghetti/network.py

gegen07/spaghetti

f10f9d016deeb8d4cdd63377304fc8e3b8492a0f

[ "BSD-3-Clause" ]

182

2018-07-23T20:17:32.000Z

2022-03-28T07:08:43.000Z

spaghetti/network.py

gegen07/spaghetti

f10f9d016deeb8d4cdd63377304fc8e3b8492a0f

[ "BSD-3-Clause" ]

563

2017-04-14T23:39:21.000Z

2022-02-12T20:34:21.000Z

spaghetti/network.py

gegen07/spaghetti

f10f9d016deeb8d4cdd63377304fc8e3b8492a0f

[ "BSD-3-Clause" ]

51

2017-04-14T23:40:31.000Z

2022-03-31T01:41:56.000Z

from collections import defaultdict, OrderedDict from itertools import islice import copy, os, pickle, warnings import esda import numpy from .analysis import GlobalAutoK from . import util from libpysal import cg, examples, weights from libpysal.common import requires try: from libpysal import open except Impor...

35.714245

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4.895751

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0.00603

0.005767

0.285164

0.23412

0.204037

0.181704

0.16034

0.150137

0

0.014902

0.327392

125,107

3,502

147

35.724443

0.842325

0.522649

0

0.181051

0

0.057956

0.006708

0

1

0.032833

false

0.000938

0.013133

0

0.077861

0

null

0

null

0

1

0

4d09ec45c4e1965510df15bcf08b297cda5ab9d9

1,097

py

Python

ac_loss_plot.py

atul799/CarND-Semantic-Segmentation

dbec928d3ba9cc68f3de9bbb7707df85131c1d5c

[ "MIT" ]

null

ac_loss_plot.py

atul799/CarND-Semantic-Segmentation

dbec928d3ba9cc68f3de9bbb7707df85131c1d5c

[ "MIT" ]

null

ac_loss_plot.py

atul799/CarND-Semantic-Segmentation

dbec928d3ba9cc68f3de9bbb7707df85131c1d5c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ plot acc loss @author: atpandey """ #%% import matplotlib.pyplot as plt #%% ff='./to_laptop/trg_file.txt' with open(ff,'r') as trgf: listidx=[] listloss=[] listacc=[] ctr=0 for line in trgf: if(ctr>0): ll=line.split(',') listidx.append...

18.913793

82

0.606199

165

1,097

3.957576

0.490909

0.036753

0.039816

0.042879

0.045942

0

0.039728

0.196901

1,097

58

83

18.913793

0.701476

0.196901

0

0.157044

0.058891

0

1

0

false

0

0.033333

0

0.033333

0

null

0

null

0

1

0

4d0a6ad7788dddfb228aeaaea80d6d51b9e09fa7

8,611

py

Python

VA_multiples/src/main.py

brown9804/Modelos_Probabilisticos-

8ddc6afbe4da5975af9eb5dc946ff19daa1171bc

[ "Apache-2.0" ]

null

VA_multiples/src/main.py

brown9804/Modelos_Probabilisticos-

8ddc6afbe4da5975af9eb5dc946ff19daa1171bc

[ "Apache-2.0" ]

null

VA_multiples/src/main.py

brown9804/Modelos_Probabilisticos-

8ddc6afbe4da5975af9eb5dc946ff19daa1171bc

[ "Apache-2.0" ]

null

##--------------------------------Main file------------------------------------ ## ## Copyright (C) 2020 by Belinda Brown Ramírez (belindabrownr04@gmail.com) ## June, 2020 ## timna.brown@ucr.ac.cr ##----------------------------------------------------------------------------- # Variables aleatorias mú...

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4d0a9eaef2e9a5554500cb97127b08aa78c0807c

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py

Python

official/mnist/mnist.py

TuKJet/models

984fbc754943c849c55a57923f4223099a1ff88c

[ "Apache-2.0" ]

3,326

2018-01-26T22:42:25.000Z

2022-02-16T13:16:39.000Z

official/mnist/mnist.py

lianlengyunyu/models

984fbc754943c849c55a57923f4223099a1ff88c

[ "Apache-2.0" ]

150

2017-08-28T14:59:36.000Z

2022-03-11T23:21:35.000Z

official/mnist/mnist.py

lianlengyunyu/models

984fbc754943c849c55a57923f4223099a1ff88c

[ "Apache-2.0" ]

1,474

2018-02-01T04:33:18.000Z

2022-03-08T07:02:20.000Z

# Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl...

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null

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null

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4d0b5e5a16eda393441922d1c3ec56983303e265

523

py

Python

pep_92.py

sayantan3/project-euler

9b856c84a0b174754819ed15f86eb0f30181e94e

[ "MIT" ]

null

pep_92.py

sayantan3/project-euler

9b856c84a0b174754819ed15f86eb0f30181e94e

[ "MIT" ]

null

pep_92.py

sayantan3/project-euler

9b856c84a0b174754819ed15f86eb0f30181e94e

[ "MIT" ]

null

#!/usr/bin/env python3 def calculate(): ans = sum(1 for i in range(1, 10000000) if get_terminal(i) == 89) return str(ans) TERMINALS = (1, 89) def get_terminal(n): while n not in TERMINALS: n = square_digit_sum(n) return n def square_digit_sum(n): result = 0 ...

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null

0

null

0

1

0

4d0e95505acc0778edf0c0cfa6593332a693d19f

7,813

py

Python

Common/EDACommon.py

MlGroupsWJ/Customer-Satisfication

bae0d3691613f078c88f926fee8d1d0684cb6f88

[ "Apache-2.0" ]

null

Common/EDACommon.py

MlGroupsWJ/Customer-Satisfication

bae0d3691613f078c88f926fee8d1d0684cb6f88

[ "Apache-2.0" ]

null

Common/EDACommon.py

MlGroupsWJ/Customer-Satisfication

bae0d3691613f078c88f926fee8d1d0684cb6f88

[ "Apache-2.0" ]

null

# -*- coding:UTF-8 -*- import pandas as pd from minepy import MINE import seaborn as sns import matplotlib.pyplot as plt from sklearn.ensemble import ExtraTreesClassifier import xgboost as xgb import operator from sklearn.utils import shuffle from Common.ModelCommon import ModelCV from sklearn import svm import numpy a...

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null

0

null

0

1

0

4d188e480cc959a97285226a6ee540747e54cbfc

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py

Python

aioruuvitag/scanner_windows.py

hulttis/ruuvigw

914eb657e3f2792cecf6848dfa7607ad45f17ab4

[ "MIT" ]

7

2019-11-08T07:30:05.000Z

2022-02-20T21:58:44.000Z

aioruuvitag/scanner_windows.py

hulttis/ruuvigw

914eb657e3f2792cecf6848dfa7607ad45f17ab4

[ "MIT" ]

null

aioruuvitag/scanner_windows.py

hulttis/ruuvigw

914eb657e3f2792cecf6848dfa7607ad45f17ab4

[ "MIT" ]

1

2021-06-19T16:52:55.000Z

# -*- coding: utf-8 -*- """ Perform Bluetooth LE Scan. Based on https://github.com/hbldh/bleak/blob/master/bleak/backends/dotnet/discovery.py by Created by hbldh <henrik.blidh@nedomkull.com> """ import logging logger = logging.getLogger('bleak_scanner') import asyncio import queue from bleak.backends.device import ...

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null

0

null

0

1

0

4d1921977ff8cb85df1411e9a16a739fa19af1b7

2,354

py

Python

GUI/app.py

YJWang94108/Real-Time-Textural-Analysis-System-with-Autonomous-Underwater-Vehicles

dbdfb1157c6448720bcf18135789c91c0940bdb4

[ "MIT" ]

1

2020-09-09T13:59:34.000Z

GUI/app.py

YJWang94108/Real-Time-Textural-Analysis-System-with-Autonomous-Underwater-Vehicles

dbdfb1157c6448720bcf18135789c91c0940bdb4

[ "MIT" ]

1

2020-09-10T05:28:02.000Z

GUI/app.py

YJWang94108/Real-Time-Textural-Analysis-System-with-Autonomous-Underwater-Vehicles

dbdfb1157c6448720bcf18135789c91c0940bdb4

[ "MIT" ]

1

2020-09-09T13:59:37.000Z

import tkinter as tk from PIL import Image, ImageTk import numpy as np import os import time class MyAPP(): def __init__(self): self.window = tk.Tk() self.window.title('Classification Results') self.window.geometry('1000x800') self.window.attributes('-topmost',1) #self.windo...

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0

null

0

null

0

1

0

4d19e5d928407169ece619db02a32249f6803443

1,350

py

Python

028_dict.py

MikePolyakov/python_book

497681e8a167918a19ae737960c9c86ebffa9e91

[ "MIT" ]

null

028_dict.py

MikePolyakov/python_book

497681e8a167918a19ae737960c9c86ebffa9e91

[ "MIT" ]

null

028_dict.py

MikePolyakov/python_book

497681e8a167918a19ae737960c9c86ebffa9e91

[ "MIT" ]

null

countries = {'Russia' : 'Europe', 'Germany' : 'Europe', 'Australia' : 'Australia'} sqrs = {} sqrs[1] = 1 sqrs[2] = 4 sqrs[10] = 100 print(sqrs) myDict = dict([['key1', 'value1'], ('key2', 'value2')]) print(myDict) phones = {'police' : 102, 'ambulance' : 103, 'firefighters' : 101} print(phones['police']) phones = {'...

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null

0

null

0

1

0

4d1a042ce335839faa6fa2c218bbf1f71877225d

1,203

py

Python

solutions/10. Regular Expression Matching.py

JacopoPan/leetcode-top100-liked-questions

03dc05f087d05805d54b7585ce740338f3128833

[ "MIT" ]

null

solutions/10. Regular Expression Matching.py

JacopoPan/leetcode-top100-liked-questions

03dc05f087d05805d54b7585ce740338f3128833

[ "MIT" ]

null

solutions/10. Regular Expression Matching.py

JacopoPan/leetcode-top100-liked-questions

03dc05f087d05805d54b7585ce740338f3128833

[ "MIT" ]

null

""" Runtime: 47 ms, faster than 89.57% of Python3 online submissions for Regular Expression Matching. Memory Usage: 15.2 MB, less than 6.45% of Python3 online submissions for Regular Expression Matching. """ from typing import List from typing import Optional class Solution: cache = {} def isMatch(self, s: s...

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0

null

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1

0

4d1b446c03d9bd0f9bcfdda12df328d24d3b6854

3,807

py

Python

jdll-tutorial/ansible/library/book.py

Spredzy/jdll-ansible

767ab383c9efb676c3d9923159172f42d221fd2f

[ "Apache-2.0" ]

null

jdll-tutorial/ansible/library/book.py

Spredzy/jdll-ansible

767ab383c9efb676c3d9923159172f42d221fd2f

[ "Apache-2.0" ]

null

jdll-tutorial/ansible/library/book.py

Spredzy/jdll-ansible

767ab383c9efb676c3d9923159172f42d221fd2f

[ "Apache-2.0" ]

null

#!/usr/bin/python from ansible.module_utils.basic import * from jdll import API ANSIBLE_METADATA = {'status': ['preview'], 'supported_by': 'community', 'version': '1.0'} DOCUMENTATION = ''' --- module: book author: "Yanis Guenane (@Spredzy)" version_added: "2.3" short_descript...

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0

null

0

null

0

1

0

4d1d08adbb5e362ba1318dc99aee5c3a36e6c489

2,679

py

Python

main.py

CyberPunk-Josh/Lab-app

aa3a5cf77a176bde3156d0f69a1f4018a503ca6f

[ "MIT" ]

null

main.py

CyberPunk-Josh/Lab-app

aa3a5cf77a176bde3156d0f69a1f4018a503ca6f

[ "MIT" ]

null

main.py

CyberPunk-Josh/Lab-app

aa3a5cf77a176bde3156d0f69a1f4018a503ca6f

[ "MIT" ]

null

from menu_design import * from PySide6.QtWidgets import QApplication, QMainWindow from PySide6.QtCore import Qt, QEasingCurve # Local files from reologicalOne.reological import RModel from reologicalTwo.reologicalDB import RModelDB from density.density import Density import sys # class for menu class MiApp(QMainWi...

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0

0.005958

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0

null

0

null

0

1

0

4d1e4f9713b73667b272d5c41483d8a89a98e904

1,024

py

Python

web/detector/dog_detector.py

PaulNWms/dog-project

4d70bcd39aa3ea0a8744efc42c53f031fbf63b64

[ "MIT" ]

null

web/detector/dog_detector.py

PaulNWms/dog-project

4d70bcd39aa3ea0a8744efc42c53f031fbf63b64

[ "MIT" ]

13

2020-01-28T22:15:35.000Z

2022-03-11T23:57:35.000Z

web_app/detector/dog_detector.py

Brijesh-Chandra/Dog-Breed-Identifier

b3c918ad148b072d49b358629cba146079bf3dc3

[ "MIT" ]

null

from keras.preprocessing import image import keras.applications.resnet50 as resnet50 import numpy as np app = None def initialize_dog_detector(the_app): global app app = the_app app.config['RESNET_50_MODEL'] = resnet50.ResNet50(weights='imagenet') def path_to_tensor(img_path): # loads RGB image as ...

29.257143

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0

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0

0.47619

0

null

0

null

0

1

0

4d1e62b7359e72d9ef996cfa45b2930243bf6b7d

1,124

py

Python

camp_real_engine/plugins/regexp.py

vassik/camp-realize

be65af18dd6deb800695988700730d2c3fb279cf

[ "MIT" ]

null

camp_real_engine/plugins/regexp.py

vassik/camp-realize

be65af18dd6deb800695988700730d2c3fb279cf

[ "MIT" ]

null

camp_real_engine/plugins/regexp.py

vassik/camp-realize

be65af18dd6deb800695988700730d2c3fb279cf

[ "MIT" ]

null

import re from camp_real_engine.abstract.abc_subst_realizer import ABC_subst_realizer from camp_real_engine.model.realization import RegExpFileSubstNode from camp_real_engine.dao.daos import FileContentCommiter from camp_real_engine.abstract.abc_real_data_model import ABCSubstitutionNode class RegExp(ABC_subst_real...

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0

0.227273

0

0.454545

0

null

0

null

0

1

0

4d220c47f8915f484fcada1de144cddca671bb25

25,729

py

Python

google/cloud/networkmanagement/v1beta1/networkmanagement-v1beta1-py/google/cloud/networkmanagement_v1beta1/services/reachability_service/async_client.py

googleapis/googleapis-gen

d84824c78563d59b0e58d5664bfaa430e9ad7e7a

[ "Apache-2.0" ]

7

2021-02-21T10:39:41.000Z

2021-12-07T07:31:28.000Z

google/cloud/networkmanagement/v1beta1/networkmanagement-v1beta1-py/google/cloud/networkmanagement_v1beta1/services/reachability_service/async_client.py

googleapis/googleapis-gen

d84824c78563d59b0e58d5664bfaa430e9ad7e7a

[ "Apache-2.0" ]

6

2021-02-02T23:46:11.000Z

2021-11-15T01:46:02.000Z

google/cloud/networkmanagement/v1beta1/networkmanagement-v1beta1-py/google/cloud/networkmanagement_v1beta1/services/reachability_service/async_client.py

googleapis/googleapis-gen

d84824c78563d59b0e58d5664bfaa430e9ad7e7a

[ "Apache-2.0" ]

4

2021-01-28T23:25:45.000Z

2021-08-30T01:55:16.000Z

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...

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0.203065

0

null

0

null

0

1

0

4d283228992f8ac0459bba73af7effe988be2fc1

1,525

py

Python

get_board_array.py

SuperStormer/minesweeper-bot

b503752ef4f4c1650ea48609dcebf0757d5ad209

[ "MIT" ]

null

get_board_array.py

SuperStormer/minesweeper-bot

b503752ef4f4c1650ea48609dcebf0757d5ad209

[ "MIT" ]

2

2022-01-13T00:50:34.000Z

2022-03-11T23:26:44.000Z

get_board_array.py

SuperStormer/minesweeper-bot

b503752ef4f4c1650ea48609dcebf0757d5ad209

[ "MIT" ]

null

import mss import numpy as np from PIL import Image from config import BOARD_HEIGHT, BOARD_WIDTH CELL_SIZE = 22 BOARD_X = 14 BOARD_Y = 111 COLOR_CODES = { (0, 0, 255): 1, (0, 123, 0): 2, (255, 0, 0): 3, (0, 0, 123): 4, (123, 0, 0): 5, (0, 123, 123): 6, (0, 0, 0): 7, (123, 123, 123): 8, (189, 189, 189): 0 #uno...

32.446809

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1,525

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0

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1

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false

0

0.097561

0

0.195122

0

null

0

null

0

1

0

4d32026c6758449b672d084b5b5fc4c71016f623

3,380

py

Python

redbot/resource/active_check/base.py

Malvoz/redbot

0edef8d4efefddde49d36cd97e471fc187837169

[ "MIT" ]

null

redbot/resource/active_check/base.py

Malvoz/redbot

0edef8d4efefddde49d36cd97e471fc187837169

[ "MIT" ]

null

redbot/resource/active_check/base.py

Malvoz/redbot

0edef8d4efefddde49d36cd97e471fc187837169

[ "MIT" ]

null

#!/usr/bin/env python """ Subrequests to do things like range requests, content negotiation checks, and validation. This is the base class for all subrequests. """ from abc import ABCMeta, abstractmethod from configparser import SectionProxy from typing import List, Tuple, Type, Union, TYPE_CHECKING from redbot.res...

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0

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0

0.333333

0

null

0

null

0

1

0

4d36ab2ecf64dbe104d9ad83b84b202b59495ecf

13,674

py

Python

page_api.py

tomkludy/md_to_conf

3b03f1c68eea1f8a6d788afab0add63f6d4dcf46

[ "MIT" ]

null

page_api.py

tomkludy/md_to_conf

3b03f1c68eea1f8a6d788afab0add63f6d4dcf46

[ "MIT" ]

null

page_api.py

tomkludy/md_to_conf

3b03f1c68eea1f8a6d788afab0add63f6d4dcf46

[ "MIT" ]

null

""" # -------------------------------------------------------------------------------------------------- # Page APIs # -------------------------------------------------------------------------------------------------- """ import os import tempfile import re import json import collections import mimetypes import urllib...

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null

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0

4d37f40cf39b5e290df6e5f9680f28b3b0ec78f5

5,918

py

Python

testing/tests/data_handling/test_predict.py

JSKenyon/QuartiCal

2113855b080cfecc4a1c77cc9dad346ef3619716

[ "MIT" ]

null

testing/tests/data_handling/test_predict.py

JSKenyon/QuartiCal

2113855b080cfecc4a1c77cc9dad346ef3619716

[ "MIT" ]

null

testing/tests/data_handling/test_predict.py

JSKenyon/QuartiCal

2113855b080cfecc4a1c77cc9dad346ef3619716

[ "MIT" ]

1

2022-03-18T14:30:04.000Z

from copy import deepcopy import pytest from quartical.data_handling.predict import (parse_sky_models, daskify_sky_model_dict, get_support_tables) import dask.array as da import numpy as np from numpy.testing import assert_array_a...

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0.240385

0

null

0

null

0

1

0

4d3c620a15280505542a7dd73460b5056d95dccf

1,269

py

Python

hw1/feature_summary.py

doochi/gct634-ai613-2021

af12a1ea9c622fca17928f8431cc0983470f97db

[ "MIT" ]

9

2021-09-04T04:11:47.000Z

2022-01-06T13:00:32.000Z

hw1/feature_summary.py

doochi/gct634-ai613-2021

af12a1ea9c622fca17928f8431cc0983470f97db

[ "MIT" ]

null

hw1/feature_summary.py

doochi/gct634-ai613-2021

af12a1ea9c622fca17928f8431cc0983470f97db

[ "MIT" ]

19

2021-09-12T10:13:09.000Z

2022-01-28T01:37:42.000Z

# GCT634 (2018) HW1 # # Mar-18-2018: initial version # # Juhan Nam # import sys import os import numpy as np import matplotlib.pyplot as plt data_path = './dataset/' mfcc_path = './mfcc/' MFCC_DIM = 20 def mean_mfcc(dataset='train'): f = open(data_path + dataset + '_list.txt','r') if dataset == 'tra...

18.940299

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0.171429

0

null

0

null

0

1

0

4d3c97fcf24ccce0fd906a45948aebe7fed32f87

6,685

py

Python

package/kedro_viz/services/layers.py

pascalwhoop/kedro-viz

5fd8dd8033da5f3d37c80a7adb51b60fd8daa64d

[ "BSD-3-Clause-Clear", "Apache-2.0" ]

246

2019-07-08T15:27:34.000Z

2022-01-09T18:47:11.000Z

package/kedro_viz/services/layers.py

pascalwhoop/kedro-viz

5fd8dd8033da5f3d37c80a7adb51b60fd8daa64d

[ "BSD-3-Clause-Clear", "Apache-2.0" ]

222

2019-07-08T14:07:13.000Z

2022-01-06T19:19:27.000Z

package/kedro_viz/services/layers.py

pascalwhoop/kedro-viz

5fd8dd8033da5f3d37c80a7adb51b60fd8daa64d

[ "BSD-3-Clause-Clear", "Apache-2.0" ]

53

2019-07-14T14:06:47.000Z

2021-12-06T22:21:46.000Z

# Copyright 2021 QuantumBlack Visual Analytics Limited # # 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 # # THE SOFTWARE IS PROVIDED "AS IS",...

48.093525

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0

null

0

null

0

1

0

4d3cec7b76ef0e1f26a6a2ea0b4008e98f8e6357

6,941

py

Python

fixed_width_gen.py

pradnyaalc/fixed_width_file_generation

989eb34f57a6061f89c4889ec1c3db3a45b86723

[ "Apache-2.0" ]

null

fixed_width_gen.py

pradnyaalc/fixed_width_file_generation

989eb34f57a6061f89c4889ec1c3db3a45b86723

[ "Apache-2.0" ]

null

fixed_width_gen.py

pradnyaalc/fixed_width_file_generation

989eb34f57a6061f89c4889ec1c3db3a45b86723

[ "Apache-2.0" ]

null

#!/usr/bin/python # importing libraries import json from copy import deepcopy from decimal import Decimal import time class FixedWidth: def get_config(self, config_file): """ reads the json specification file and returns a dictionary :param config_file: json :retur...

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null

0

null

0

1

0

4d3cfc02ebd8ee1182122794d381b0a0a452d148

855

py

Python

52digest.py

Ferdandez/homework

07df8e0c63e93773e7fc354bfb4e6ae301d49124

[ "MIT" ]

null

52digest.py

Ferdandez/homework

07df8e0c63e93773e7fc354bfb4e6ae301d49124

[ "MIT" ]

null

52digest.py

Ferdandez/homework

07df8e0c63e93773e7fc354bfb4e6ae301d49124

[ "MIT" ]

null

#!/usr/bin/env python3 # 52digest.py import re import sys # Write a program that performs an EcoRI digest on the SARS-COV2 genome # The program should have 2 arguments # 1. The genome file # 2. The restriction pattern # The output should be the sizes of the restriction fragments originseen = False seq = '' dige...

19

71

0.679532

140

855

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0

0.079251

0.188304

855

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0

0.037422

0

1

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false

0

0.1

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0.1

0.05

0

null

0

null

0

1

0

4d3d62f955634f9c834d309435153be67f95acc0

2,394

py

Python

yt_dlp/extractor/willow.py

mrBliss/yt-dlp

aecd021656b672dbb617e5bae54a8986f9c4ebaf

[ "Unlicense" ]

80

2021-05-25T11:33:49.000Z

2022-03-29T20:36:53.000Z

yt_dlp/extractor/willow.py

mrBliss/yt-dlp

aecd021656b672dbb617e5bae54a8986f9c4ebaf

[ "Unlicense" ]

53

2017-04-12T19:53:18.000Z

2022-02-22T10:33:13.000Z

yt_dlp/extractor/willow.py

mrBliss/yt-dlp

aecd021656b672dbb617e5bae54a8986f9c4ebaf

[ "Unlicense" ]

22

2021-05-07T05:01:27.000Z

2022-03-26T19:10:54.000Z

# coding: utf-8 from ..utils import ExtractorError from .common import InfoExtractor class WillowIE(InfoExtractor): _VALID_URL = r'https?://(www\.)?willow\.tv/videos/(?P<id>[0-9a-z-_]+)' _GEO_COUNTRIES = ['US'] _TESTS = [{ 'url': 'http://willow.tv/videos/d5winning-moment-eng-vs-ind-streaming-onli...

40.576271

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2,394

4.778571

0.464286

0.047833

0.03139

0.040359

0.188341

0.140508

0.100149

0

0.03662

0.258563

2,394

58

126

41.275862

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0.013367

0

0.08

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1

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false

0

0.04

0

0.16

0

null

0

null

0

1

0

4d3e1930813427009e7819522279ea71f06fd637

4,044

py

Python

src/dissregarded/NetArivalsDeparturesHoures.py

sebastian-konicz/WRM

e60aafada7bb85df955a7e1357f33fe5846f4e6c

[ "MIT" ]

1

2019-11-02T18:24:19.000Z

src/dissregarded/NetArivalsDeparturesHoures.py

sebastian-konicz/WRM

e60aafada7bb85df955a7e1357f33fe5846f4e6c

[ "MIT" ]

7

2020-03-24T17:48:28.000Z

2022-03-12T00:05:13.000Z

src/dissregarded/NetArivalsDeparturesHoures.py

sebastian-konicz/WRM

e60aafada7bb85df955a7e1357f33fe5846f4e6c

[ "MIT" ]

null

import folium from folium.plugins import MarkerCluster import pandas as pd import datetime from pathlib import Path # pd.options.display.max_columns = 50 def main(dir): # Loading Data Set print("Loading dataset") RentalData = pd.read_csv(dir + r'\data\processed\RentalData2015.csv') # Changind the Sta...

42.568421

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4,044

5.493421

0.381579

0.043912

0.037924

0.008782

0.182036

0.069461

0.042315

0

0.021611

0.244807

4,044

95

122

42.568421

0.798625

0.202275

0

0.163169

0.023802

0

1

0.055556

false

0

0.092593

0

0.185185

0.055556

0

null

0

null

0

1

0

4d3ef71c75b3b75d2218b109a8f46905d02e164e

10,038

py

Python

rdr_service/offline/metrics_export.py

all-of-us/raw-data-repository

d28ad957557587b03ff9c63d55dd55e0508f91d8

[ "BSD-3-Clause" ]

39

2017-10-13T19:16:27.000Z

2021-09-24T16:58:21.000Z

rdr_service/offline/metrics_export.py

all-of-us/raw-data-repository

d28ad957557587b03ff9c63d55dd55e0508f91d8

[ "BSD-3-Clause" ]

312

2017-09-08T15:42:13.000Z

2022-03-23T18:21:40.000Z

rdr_service/offline/metrics_export.py

all-of-us/raw-data-repository

d28ad957557587b03ff9c63d55dd55e0508f91d8

[ "BSD-3-Clause" ]

19

2017-09-15T13:58:00.000Z

2022-02-07T18:33:20.000Z

from rdr_service import clock, config from rdr_service.code_constants import EHR_CONSENT_QUESTION_CODE, PPI_SYSTEM, RACE_QUESTION_CODE, UNMAPPED from rdr_service.dao.code_dao import CodeDao from rdr_service.dao.database_utils import get_sql_and_params_for_array, replace_isodate from rdr_service.dao.hpo_dao import HPODa...

41.139344

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0.362563

0.289194

0.219959

0.214644

0.186005

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0.19994

10,038

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118

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0

0.275132

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1

0.063492

false

0

0.058201

0.005291

0.148148

0

null

0

null

0

1

0

4d3f64220d8ff34f2c9e4737de791b02b5323b50

701

py

Python

fundata/dota2/player/player_detail.py

mengyuanhumy/fundata

e4090edf967e2ad7f7efadd64a7fc2ae8dc1ed32

[ "MIT" ]

null

fundata/dota2/player/player_detail.py

mengyuanhumy/fundata

e4090edf967e2ad7f7efadd64a7fc2ae8dc1ed32

[ "MIT" ]

null

fundata/dota2/player/player_detail.py

mengyuanhumy/fundata

e4090edf967e2ad7f7efadd64a7fc2ae8dc1ed32

[ "MIT" ]

null

# -*- coding: utf-8 -*- from ...client import get_api_client def get_player_detail_stats(player_id): """玩家常规统计数据参数player_id，玩家ID， int 返回dict格式 """ if get_player_data_status(player_id)==2: client=get_api_client() uri="/fundata-dota2-free/v2/player/"+str(player_id)+"/detail_stats" return client.api(uri,{})...

22.612903

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0.4

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0.071882

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0.350951

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0

0.024272

0.118402

701

31

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0.235294

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0

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false

0

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0

0.411765

0.058824

0

null

0

null

0

1

0

4d42f4da01153d9efccca4d19cc6efc9b683c41b

8,039

py

Python

gui/trimGui.py

lhalb/gfmanager

449f071b3239faa672b7f06122dfc9bc23e68d79

[ "MIT" ]

1

2022-01-18T12:53:17.000Z

gui/trimGui.py

lhalb/gfmanager

449f071b3239faa672b7f06122dfc9bc23e68d79

[ "MIT" ]

null

gui/trimGui.py

lhalb/gfmanager

449f071b3239faa672b7f06122dfc9bc23e68d79

[ "MIT" ]

null

from PyQt5 import QtGui, QtWidgets import seaborn as sns from gui import trimming as tri from gui import boxes as BOX import matplotlib.image as mpimg from math import floor, ceil class TrimDialog(QtWidgets.QDialog, tri.Ui_Dialog): def __init__(self, data=None): super(TrimDialog, self).__init__() ...

32.812245

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0.030802

0.023957

0.366631

0.238075

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0.133476

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0

0.00528

0.269685

8,039

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1

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false

0

0.032258

0

0.155914

0

null

0

null

0

1

0

4d47790f7b2c6a08485b7da418683620a521d5cf

1,178

py

Python

__init__.py

hankangkangjim/djlog

cfdac281be811adc3fc1b91672c0230cc575722f

[ "MIT" ]

null

__init__.py

hankangkangjim/djlog

cfdac281be811adc3fc1b91672c0230cc575722f

[ "MIT" ]

null

__init__.py

hankangkangjim/djlog

cfdac281be811adc3fc1b91672c0230cc575722f

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.conf import settings def _defaultdict(_dict, key): if key not in _dict: _dict[key] = {} return _dict[key] def update_logging(log_config): if not isinstance(log_config, dict): raise TypeError('set...

29.45

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0.068867

0

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39

79

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0

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0

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0.214286

0

null

0

null

0

1

0

4d48c769d2260ad0c3c0d32734d1d092109092b3

6,697

py

Python

manilaclient/tests/unit/common/test_httpclient.py

mail2nsrajesh/python-manilaclient

37bf2d9b4be277ece01e9ff782234d264ed4fd56

[ "CNRI-Python", "Apache-1.1" ]

null

manilaclient/tests/unit/common/test_httpclient.py

mail2nsrajesh/python-manilaclient

37bf2d9b4be277ece01e9ff782234d264ed4fd56

[ "CNRI-Python", "Apache-1.1" ]

null

manilaclient/tests/unit/common/test_httpclient.py

mail2nsrajesh/python-manilaclient

37bf2d9b4be277ece01e9ff782234d264ed4fd56

[ "CNRI-Python", "Apache-1.1" ]

null

# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the Li...

32.043062

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false

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0

0.210526

0

null

0

null

0

1

0

4d4909137a8281abf00add12e7109af6453220fd

1,421

py

Python

intro_to_algos_2020_mit/ps3/tests.py

venu-gopal-myneni/assignments

871148ccaa6291539623fc7d3f9704cb497fbcb6

[ "MIT" ]

1

2022-02-26T13:52:31.000Z

assignments/ps3-template/tests.py

tallamjr/mit-6006

c2aa6bb48edef5800c0779ba2eebd697d44249b5

[ "MIT" ]

null

assignments/ps3-template/tests.py

tallamjr/mit-6006

c2aa6bb48edef5800c0779ba2eebd697d44249b5

[ "MIT" ]

null

import unittest from count_anagram_substrings import count_anagram_substrings tests = ( ( ( 'esleastealaslatet', ('tesla',), ), (3,), ), ( ( 'lrldrrrllddrrlllrddd', ('ldl', 'rld'), ), (1, 3), ), ( ...

25.375

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6.31405

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0.117801

0.150524

0.183246

0

0.031313

0.303308

1,421

55

116

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0

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0

0.098039

1

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false

0

0.039216

0

0.196078

0

null

0

null

0

1

0

4d49fb464c7f3d5acfcbeab36ee17a5c9322cb65

9,387

py

Python

sim2real-policies/sim2real_policies/sys_id/universal_policy_online_system_identification/osi_class.py

eugval/sim2real_dynamics_simulation

2ed175803faa38792f6becc2dc91f44ae71ed9c2

[ "MIT" ]

16

2020-07-28T14:35:44.000Z

2021-11-28T01:50:51.000Z

sim2real-policies/sim2real_policies/sys_id/universal_policy_online_system_identification/osi_class.py

eugval/sim2real_dynamics_simulation

2ed175803faa38792f6becc2dc91f44ae71ed9c2

[ "MIT" ]

1

2020-11-26T07:58:30.000Z

2020-12-01T04:40:28.000Z

sim2real-policies/sim2real_policies/sys_id/universal_policy_online_system_identification/osi_class.py

eugval/sim2real_dynamics_simulation

2ed175803faa38792f6becc2dc91f44ae71ed9c2

[ "MIT" ]

2

2020-10-18T01:38:49.000Z

2021-12-31T10:56:41.000Z

""" System Identification (SI) https://arxiv.org/abs/1702.02453 Examples of two types: 1. Off-line SI: in sim2real_policies.sys_id.common.utils 2. On-line SI """ from sim2real_policies.sys_id.common.operations import * from sim2real_policies.sys_id.common.utils import * from sim2real_policies.utils.rl_utils import lo...

45.567961

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9,387

4.732053

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0.023285

0.016934

0.011289

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0.122244

0.074793

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0.088435

0

null

0

null

0

1

0

4d4c6f6195152d60976c1000937ec76667e66f99

2,099

py

Python

rasp_camera.py

BrianDau/doorbell_dash

940877c5019b39639e7de0081a616d20c8b5a0fc

[ "MIT" ]

11

2017-04-12T13:27:39.000Z

2021-05-16T16:27:15.000Z

rasp_camera.py

BrianDau/doorbell_dash

940877c5019b39639e7de0081a616d20c8b5a0fc

[ "MIT" ]

null

rasp_camera.py

BrianDau/doorbell_dash

940877c5019b39639e7de0081a616d20c8b5a0fc

[ "MIT" ]

1

2019-01-10T18:33:42.000Z

import picamera from time import sleep IMG_WIDTH = 800 IMG_HEIGHT = 600 IMAGE_DIR = "/home/pi/Desktop/" IMG = "snap.jpg" def vid(): camera = picamera.PiCamera() camera.vflip = True camera.hflip = True camera.brightness = 60 #camera.resolution = (IMG_WIDTH, IMG_HEIGHT) camera.start_prev...

26.910256

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2,099

5.136986

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0.08

0.049778

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0.021655

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2,099

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0

0.176471

0

null

0

null

0

1

0

4d4daf56e54bd88f232ffc4ff205ca0bd68de320

1,823

py

Python

userbot/core/vcbot/controls.py

Rewtio/Mikoo-Userbot

418f0017241fa65bdf7f99c84381317cb4dbeb55

[ "Naumen", "Condor-1.1", "MS-PL" ]

4

2022-03-03T01:31:48.000Z

2022-03-26T00:15:41.000Z

userbot/core/vcbot/controls.py

Rewtio/Mikoo-Userbot

418f0017241fa65bdf7f99c84381317cb4dbeb55

[ "Naumen", "Condor-1.1", "MS-PL" ]

1

2022-03-16T02:54:27.000Z

2022-03-17T09:17:12.000Z

userbot/core/vcbot/controls.py

Rewtio/Mikoo-Userbot

418f0017241fa65bdf7f99c84381317cb4dbeb55

[ "Naumen", "Condor-1.1", "MS-PL" ]

1

2022-03-16T02:41:38.000Z

# Mikoo - UserBot # Copyright (c) 2022 Mikoo-Userbot # Credits: @divarvian || https://github.com/divarvian # # This file is a part of < https://github.com/divarvian/Mikoo-Userbot/ > # t.me/MikooUserbot & t.me/MikooUserbot from pytgcalls.types.input_stream import AudioPiped, AudioVideoPiped from pytgcalls.types.input_...

27.208955

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0.188679

0

null

0

null

0

1

0

4d4ffc6370941aaa5377e63ac70bab0e9216c2d5

5,614

py

Python

src/jaeger/jaeger.py

Novartis/JAEGER

9f9441d97bb956d88b73e2d24edb65322420c251

[ "Apache-2.0" ]

9

2021-12-27T15:49:43.000Z

2022-03-29T10:17:55.000Z

src/jaeger/jaeger.py

Novartis/JAEGER

9f9441d97bb956d88b73e2d24edb65322420c251

[ "Apache-2.0" ]

null

src/jaeger/jaeger.py

Novartis/JAEGER

9f9441d97bb956d88b73e2d24edb65322420c251

[ "Apache-2.0" ]

null

""" Copyright 2021 Novartis Institutes for BioMedical Research Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law...

31.539326

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0.051724

0

null

0

null

0

1

0

4d52174dea07f449946604a9e3b3a0ae9531e302

436

py

Python

build/lib/more/scikit_helper/common.py

ngupta23/more

c8d867d280c5c88be7d1ddfac37ff670a2dcaa29

[ "MIT" ]

6

2019-07-18T20:26:30.000Z

2021-06-10T17:20:19.000Z

more/scikit_helper/common.py

ngupta23/more

c8d867d280c5c88be7d1ddfac37ff670a2dcaa29

[ "MIT" ]

null

more/scikit_helper/common.py

ngupta23/more

c8d867d280c5c88be7d1ddfac37ff670a2dcaa29

[ "MIT" ]

null

# For Time Logging import time from contextlib import contextmanager import logging @contextmanager # Timing Function def time_usage(name=""): """ log the time usage in a code block """ # print ("In time_usage runID = {}".format(runID)) start = time.time() yield end = time.time() elaps...

22.947368

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0.651376

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436

5

0.553571

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0

0.005848

0.215596

436

18

72

24.222222

0.812866

0.268349

0

0.109635

0

1

0.1

false

0

0.3

0

0.4

0

null

0

null

0

1

0

4d54d76c9267e5c02660af45e6cfbf3a771acab1

970

py

Python

FALL/core/port_scanner.py

DevanshRaghav75/FALL

643c19db18d76b850e427c026ff54dae547e69a5

[ "MIT" ]

1

2021-06-22T10:43:12.000Z

FALL/core/port_scanner.py

DevanshRaghav75/FALL

643c19db18d76b850e427c026ff54dae547e69a5

[ "MIT" ]

2

2021-06-23T01:47:59.000Z

2021-06-25T12:07:02.000Z

FALL/core/port_scanner.py

DevanshRaghav75/FALL

643c19db18d76b850e427c026ff54dae547e69a5

[ "MIT" ]

null

import socket import threading import concurrent.futures from colorama import Fore, Style def port_scanner(): print_lock = threading.Lock() print('') ip = input(Fore.CYAN + "[PORT_SCANNER]" + Style.RESET_ALL + "[>] Target: ") port_range = input(Fore.CYAN + "[PORT_SCANNER]" + Style.RESET_ALL + "[>] Sca...

31.290323

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970

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0.095486

0.112847

0.059028

0.128472

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0.259794

970

31

160

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0

1

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false

0.043478

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0.217391

0

null

0

null

0

1

0

4d551b7eecd229efc3cad0fcf4d4e3f7b53e292a

2,056

py

Python

pyecharts/charts/scatter.py

chfw/pyecharts

51de9d6f17946a356ff8b94c62a70404e4f55266

[ "MIT" ]

16

2018-01-24T00:56:15.000Z

2022-03-18T09:00:42.000Z

pyecharts/charts/scatter.py

chfw/bryecharts

51de9d6f17946a356ff8b94c62a70404e4f55266

[ "MIT" ]

null

pyecharts/charts/scatter.py

chfw/bryecharts

51de9d6f17946a356ff8b94c62a70404e4f55266

[ "MIT" ]

4

2018-01-21T17:49:49.000Z

2021-03-13T22:08:49.000Z

#!/usr/bin/env python # coding=utf-8 from pyecharts.chart import Chart from pyecharts.option import get_all_options class Scatter(Chart): """ <<< 散点图 >>> 直角坐标系上的散点图可以用来展现数据的 x，y 之间的关系，如果数据项有多个维度，可以用颜色来表现，利用 geo 组件。 """ def __init__(self, title="", subtitle="", **kwargs): super(Scatt...

27.413333

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0.543288

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2,056

4.491597

0.441176

0.032741

0.016838

0.028064

0.078578

0.052385

0

0.01083

0.326362

2,056

74

71

27.783784

0.761011

0.249027

0

0.084581

0

0.03125

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0.125

false

0

0.0625

0

0.21875

0

null

0

null

0

1

0

4d5681b659a285c56598406e0b757f35ff94c449

869

py

Python

pythonSEC/Utils/useapi.py

hpcc-systems/EDGAR-SEC-Filings

1727820ffa2216ed2447bb6a265a54ef6503f001

[ "Apache-2.0" ]

1

2020-08-02T13:08:14.000Z

pythonSEC/Utils/useapi.py

hpcc-systems/EDGAR-SEC-Filings

1727820ffa2216ed2447bb6a265a54ef6503f001

[ "Apache-2.0" ]

null

pythonSEC/Utils/useapi.py

hpcc-systems/EDGAR-SEC-Filings

1727820ffa2216ed2447bb6a265a54ef6503f001

[ "Apache-2.0" ]

null

import yfinance as yf import pandas as pd import Utils from Utils import scrape_utils def qtrlabels(tick,date,comp='plain'): stock = yf.Ticker(tick.upper()) hist = stock.history(interval="1d",start=scrape_utils.dashdate(scrape_utils.fixdate(date)),end=scrape_utils.qenddate(date)) stkchg = hist.iloc[-1].Close/hi...

36.208333

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0.698504

127

869

4.724409

0.456693

0.128333

0.056667

0.073333

0.296667

0

0.012312

0.158803

869

23

135

37.782609

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0

0.065

0

1

0.052632

false

0

0.210526

0

0.421053

0.052632

0

null

0

null

0

1

0

4d56ddb615e06e9e1805753500a2cd6d9b81e048

8,014

py

Python

src/pymor/reductors/parabolic.py

JuliaBru/pymor

46343b527267213f4279ea36f208b542ab291c4e

[ "Unlicense" ]

null

src/pymor/reductors/parabolic.py

JuliaBru/pymor

46343b527267213f4279ea36f208b542ab291c4e

[ "Unlicense" ]

null

src/pymor/reductors/parabolic.py

JuliaBru/pymor

46343b527267213f4279ea36f208b542ab291c4e

[ "Unlicense" ]

null

# This file is part of the pyMOR project (http://www.pymor.org). # Copyright 2013-2016 pyMOR developers and contributors. All rights reserved. # License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause) import numpy as np from pymor.core.interfaces import ImmutableInterface from pymor.core.logger im...

48.569697

114

0.671949

1,000

8,014

5.221

0.269

0.074698

0.058609

0.036775

0.218157

0.154568

0.128711

0.064355

0.024516

0

0.014613

0.23147

8,014

164

115

48.865854

0.83309

0.410656

0

0.059701

0

0.042115

0.009409

0

0.029851

1

0.059701

false

0

0.104478

0

0.238806

0

null

0

null

0

1

0

4d572a2dac2905d58624d731de31416194c06588

3,050

py

Python

frappe/core/doctype/scheduled_job_type/test_scheduled_job_type.py

ektai/erp2Dodock

5ad64b01cba9b07437f9a27751101258679379e8

[ "MIT" ]

null

frappe/core/doctype/scheduled_job_type/test_scheduled_job_type.py

ektai/erp2Dodock

5ad64b01cba9b07437f9a27751101258679379e8

[ "MIT" ]

null

frappe/core/doctype/scheduled_job_type/test_scheduled_job_type.py

ektai/erp2Dodock

5ad64b01cba9b07437f9a27751101258679379e8

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2019, Frappe Technologies and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest from frappe.utils import get_datetime from frappe.core.doctype.scheduled_job_type.scheduled_job_type import sync_jobs class TestScheduledJobType(u...

45.522388

138

0.754754

492

3,050

4.45935

0.211382

0.041021

0.054695

0.071103

0.599362

0.581586

0.539198

0

0.085507

0.095082

3,050

67

139

45.522388

0.70942

0.062295

0

0.08

0

0.321654

0.119131

0

0.34

1

0.12

false

0

0.1

0

0.24

0

null

0

null

0

1

0

4d57caac42b99c0bec97612a491e63a139339081

1,750

py

Python

projects/2_bike_share_data/menu_text.py

ssi112/programming-data-science-python

6f70743a89f286f5eb4c13765098f18cf050d7a7

[ "MIT" ]

1

2020-10-20T20:34:53.000Z

projects/2_bike_share_data/menu_text.py

ssi112/programming-data-science-python

6f70743a89f286f5eb4c13765098f18cf050d7a7

[ "MIT" ]

null

projects/2_bike_share_data/menu_text.py

ssi112/programming-data-science-python

6f70743a89f286f5eb4c13765098f18cf050d7a7

[ "MIT" ]

null

# menu_text.py # # simple python menu # https://stackoverflow.com/questions/19964603/creating-a-menu-in-python # city_menu = { '1': 'Chicago', '2': 'New York', '3': 'Washington', 'x': 'Exit'} month_menu = {'0': 'All', '1': 'January', '2': 'February...

26.515152

72

0.489714

178

1,750

4.629213

0.421348

0.033981

0.053398

0.069175

0

0.022827

0.349143

1,750

65

73

26.923077

0.700615

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0

0.104167

0

0.189189

0

1

0.041667

false

0

0.0625

0.1875

0

null

0

null

0

1

0

4d5d0cd3a4c4b3b0b3187dfacf67f623810fd0f8

776

py

Python

tablo/migrations/0006_alter_geom_col_type.py

consbio/tablo

8d70bd3fe3449c3298ad69cc7c85bb2d8e83fad8

[ "BSD-3-Clause" ]

4

2017-04-26T10:30:56.000Z

2019-06-13T03:20:44.000Z

tablo/migrations/0006_alter_geom_col_type.py

nrdsdata/tablo

628bcde8071229485438def01ff3b0da0ef9e502

[ "BSD-3-Clause" ]

23

2016-07-18T21:40:29.000Z

2019-06-04T20:08:57.000Z

tablo/migrations/0006_alter_geom_col_type.py

nrdsdata/tablo

628bcde8071229485438def01ff3b0da0ef9e502

[ "BSD-3-Clause" ]

3

2016-11-21T18:47:33.000Z

2019-05-15T23:29:56.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations from tablo import GEOM_FIELD_NAME, WEB_MERCATOR_SRID forward_sql = """ DO $$ DECLARE table_name name; BEGIN FOR table_name IN SELECT tablo_featureservicelayer.table FROM tablo_...

23.515152

118

0.657216

86

776

5.651163

0.55814

0.055556

0.053498

0

0.008576

0.248711

776

32

119

24.25

0.825043

0.027062

0

0.08

0

0.04

0.52324

0.139442

0

1

0

false

0

0.12

0

0.24

0

null

0

null

0

1

0

4d5d0e78c95a6644e5c54d7d327b95b2ebfd2692

23,755

py

Python

tests/test_atise.py

tkg-framework/TKG-framework

98586b7199bda0e96d74b2ea02c62226901822cc

[ "MIT", "Unlicense" ]

null

tests/test_atise.py

tkg-framework/TKG-framework

98586b7199bda0e96d74b2ea02c62226901822cc

[ "MIT", "Unlicense" ]

null

tests/test_atise.py

tkg-framework/TKG-framework

98586b7199bda0e96d74b2ea02c62226901822cc

[ "MIT", "Unlicense" ]

null

import torch import torch.nn as nn from torch.autograd import Variable import torch.functional as F from torch.nn.init import xavier_normal_ import os import sys BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(BASE_DIR) import numpy as np from numpy.random import RandomState f...

39.52579

144

0.540097

3,217

23,755

3.77277

0.102269

0.0248

0.03823

0.023811

0.548159

0.497899

0.438

0.39911

0.348686

0.343495

0

0.030257

0.328015

23,755

600

145

39.591667

0.730063

0.067775

0

0.370787

0

0.006742

0.047826

0.024162

0

0.001667

0

1

0.044944

false

0

0.035955

0

0.119101

0.033708

0

null

0

null

0

1

0

4d5dd414ac863f8b7e031913598446b42eb6a1d4

1,265

py

Python

tests/security_test.py

smarkets/bravado-core

5d9c7eff417118462893c08accc40e27b066e2f6

[ "BSD-3-Clause" ]

null

tests/security_test.py

smarkets/bravado-core

5d9c7eff417118462893c08accc40e27b066e2f6

[ "BSD-3-Clause" ]

null

tests/security_test.py

smarkets/bravado-core

5d9c7eff417118462893c08accc40e27b066e2f6

[ "BSD-3-Clause" ]

1

2022-03-26T12:14:35.000Z

# -*- coding: utf-8 -*- import pytest from six import iteritems def test_security_definition_property_extraction(security_dict, security_spec): security_definitions = security_dict['securityDefinitions'] for security_name, security_spec_dict in iteritems(security_definitions): security_object = securi...

39.53125

88

0.679842

127

1,265

6.464567

0.401575

0.087698

0.09866

0.075518

0.095006

0

0.017241

0.174704

1,265

31

89

40.806452

0.769157

0.016601

0

0.18277

0

0.08

1

0.12

false

0

0.08

0.04

0.24

0

null

0

null

0

1

0

4d6009ffc4ef0b627d157000658c61a9b68d4726

3,555

py

Python

training/data_splits.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

training/data_splits.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

training/data_splits.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

import json from typing import Union, Optional, Tuple, List import numpy as np from sklearn.feature_extraction import DictVectorizer from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer, TfidfTransformer from sklearn.model_selection import train_test_split from sklearn.preprocessing import Stan...

41.337209

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0.663854

442

3,555

5.160633

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0.06313

0.047348

0.378343

0.231477

0.133275

0.106094

0

0.004405

0.233755

3,555

85

212

41.823529

0.832966

0

0.234375

0

0.006188

0

0.015625

1

0.09375

false

0

0.125

0

0.328125

0

null

0

null

0

1

0

4d6063eae63c8ba714bea0a997b134856f495196

31,868

py

Python

GAPP.py

timhartley/GAPP

ddd3b3c29b50bc5a9eb3d7f84403e425072145bb

[ "Apache-2.0" ]

null

GAPP.py

timhartley/GAPP

ddd3b3c29b50bc5a9eb3d7f84403e425072145bb

[ "Apache-2.0" ]

null

GAPP.py

timhartley/GAPP

ddd3b3c29b50bc5a9eb3d7f84403e425072145bb

[ "Apache-2.0" ]

null

#!/usr/bin/python #Sorts based on top 50 CMetric, all callPaths - CMetric #, all call paths - call path count and all samples from __future__ import print_function from bcc import BPF, PerfType, PerfSWConfig from bcc import BPF import sys import ctypes as ct # For mapping the 'C' structure to Python import argparse #...

34.414687

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0.614096

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31,868

925

198

34.451892

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null

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null

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1

0

4d610d4a0f33ed82366186a1ab547fe19c1f9cea

4,484

py

Python

data/activitynet_feature_cuhk/data_process.py

NEUdeep/BSN

e987cc159976ebe54027b562d833a92a5aadf864

[ "MIT" ]

1

2021-04-21T08:09:59.000Z

data/activitynet_feature_cuhk/data_process.py

NEUdeep/BSN

e987cc159976ebe54027b562d833a92a5aadf864

[ "MIT" ]

null

data/activitynet_feature_cuhk/data_process.py

NEUdeep/BSN

e987cc159976ebe54027b562d833a92a5aadf864

[ "MIT" ]

null

# -*- coding: utf-8 -*- import random import numpy as np import scipy import pandas as pd import pandas import numpy import json def resizeFeature(inputData,newSize): # inputX: (temporal_length,feature_dimension) # originalSize=len(inputData) #print originalSize if originalSize==1: inputData=...

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0

null

0

null

0

1

0

4d616609d3a6fbee45f8cfdcce708b41d046091c

1,622

py

Python

examples/cloud-test.py

Ferris-Labs/ferris-cli

6a34706ab9163471bf2e03f31ba4018143f26d51

[ "Apache-2.0" ]

null

examples/cloud-test.py

Ferris-Labs/ferris-cli

6a34706ab9163471bf2e03f31ba4018143f26d51

[ "Apache-2.0" ]

1

2020-12-15T13:18:40.000Z

examples/cloud-test.py

Integration-Alpha/ferris-cli

6a34706ab9163471bf2e03f31ba4018143f26d51

[ "Apache-2.0" ]

null

from cloudevents.sdk.event import v03 import json from ferris_cli.ferris_cli import CloudEventsAPI import uuid import os import consul from ferris_cli.ferris_cli import ApplicationConfigurator from datetime import datetime def send_direct_loading_event(hdfs_path): data = {"file_location": hdfs_path } event =...

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0.093023

0

null

0

null

0

1

0

4d65330a040ed957f51a1f95089f84709aa653c7

2,355

py

Python

REL_dashboarSERVIDORES.py

tiagotouso/TALENTOS_HUMANOS

c391f7d7a331d5f8b186b27af6a9b61448620cc6

[ "MIT" ]

null

REL_dashboarSERVIDORES.py

tiagotouso/TALENTOS_HUMANOS

c391f7d7a331d5f8b186b27af6a9b61448620cc6

[ "MIT" ]

null

REL_dashboarSERVIDORES.py

tiagotouso/TALENTOS_HUMANOS

c391f7d7a331d5f8b186b27af6a9b61448620cc6

[ "MIT" ]

null

''' GERADOR DE RELATÓRIO DOS SERVIDORES (DASHBOARD SERVIDORES) ''' from SQL import sqlpandas from MENSAGEM import mensagemInformacao, mensagemErro from AUXILIAR import salvarPandas def dashboardServidores(): ''' FUNÇÃO PARA CRIAR OS DASHDOARD ENTRA ENTRA NULL SAI PLANILHA COM OS DADOS...

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0.117647

0

null

0

null

0

1

0

4d66d1254740f9bb3086a9048334ac1404d1dea1

2,189

py

Python

torchkit/head/localfc/curricularface.py

sarvex/TFace

b3d8a1392816e0d941425c30ad843d185e286431

[ "PSF-2.0" ]

764

2021-05-26T15:40:25.000Z

2022-03-30T03:26:31.000Z

torchkit/head/localfc/curricularface.py

Charlee-du/TFace

490cf90a1f042b86d7d03042f26d0a7cf6b1f0c0

[ "PSF-2.0" ]

45

2021-06-07T12:57:19.000Z

2022-03-25T16:04:54.000Z

torchkit/head/localfc/curricularface.py

Charlee-du/TFace

490cf90a1f042b86d7d03042f26d0a7cf6b1f0c0

[ "PSF-2.0" ]

139

2021-06-04T09:25:21.000Z

2022-03-31T22:49:23.000Z

from __future__ import print_function from __future__ import division import torch import torch.nn as nn from torch.nn import Parameter import math from torchkit.util.utils import l2_norm from torchkit.head.localfc.common import calc_logits class CurricularFace(nn.Module): """ Implement of CurricularFace (https:/...

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0

null

0

null

0

1

0

4d6a8be82f4b05e6fd5305e91364bc1db446eb68

3,730

py

Python

front_end/migration_scripts/1_to_2.py

zacheliason/CodeBuddy

18694771ccbb74e6966e08f1247aadda2d5d06f7

[ "MIT" ]

null

front_end/migration_scripts/1_to_2.py

zacheliason/CodeBuddy

18694771ccbb74e6966e08f1247aadda2d5d06f7

[ "MIT" ]

11

2020-06-12T19:13:12.000Z

2021-08-28T23:47:57.000Z

front_end/migration_scripts/1_to_2.py

zacheliason/CodeBuddy

18694771ccbb74e6966e08f1247aadda2d5d06f7

[ "MIT" ]

3

2020-05-12T16:54:16.000Z

2021-04-30T16:19:46.000Z

import atexit import sqlite3 import traceback ################# import sys sys.path.append('/app') from helper import * settings_dict = load_yaml_dict(read_file("/Settings.yaml")) conn = sqlite3.connect(f"/database/{settings_dict['db_name']}", isolation_level=None, detect_types=sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_C...

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0

null

0

null

0

1

0

4d6aba53be016dfafeb618c7972f5e2504c99521

809

py

Python

examples/example_tbl.py

alexmaragko/pyPAHdb

54cbf11748185d800e06cde603e93275bdd059f4

[ "BSD-3-Clause" ]

4

2018-03-13T23:44:48.000Z

2022-01-28T15:27:24.000Z

examples/example_tbl.py

alexmaragko/pyPAHdb

54cbf11748185d800e06cde603e93275bdd059f4

[ "BSD-3-Clause" ]

35

2018-03-14T22:47:03.000Z

2021-10-21T12:08:38.000Z

examples/example_tbl.py

alexmaragko/pyPAHdb

54cbf11748185d800e06cde603e93275bdd059f4

[ "BSD-3-Clause" ]

6

2018-03-13T17:50:17.000Z

2021-07-16T02:42:50.000Z

#!/usr/bin/env python3 """ example.py Example of using pypahdb to decompose an astronomical PAH spectrum. """ import pkg_resources from pypahdb.decomposer import Decomposer from pypahdb.observation import Observation if __name__ == '__main__': # The sample data (IPAC table). file_path = 'resources/sample_...

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null

0

null

0

1

0

4d6b1faba00fbb5e279ded48969722c18dfa7079

10,448

py

Python

homeassistant/components/zha/core/registries.py

headcode/home-assistant

ef338fa8803c9691c545cb335503723d271c652c

[ "Apache-2.0" ]

null

homeassistant/components/zha/core/registries.py

headcode/home-assistant

ef338fa8803c9691c545cb335503723d271c652c

[ "Apache-2.0" ]

null

homeassistant/components/zha/core/registries.py

headcode/home-assistant

ef338fa8803c9691c545cb335503723d271c652c

[ "Apache-2.0" ]

null

""" Mapping registries for Zigbee Home Automation. For more details about this component, please refer to the documentation at https://home-assistant.io/components/zha/ """ from .const import ( DEVICE_CLASS, SINGLE_INPUT_CLUSTER_DEVICE_CLASS, SINGLE_OUTPUT_CLUSTER_DEVICE_CLASS, COMPONENT_CLUSTERS, HUMIDITY, ...

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null

0

null

0

1

0

4d6b39d23d412e44e53a7dcf8c8b360f9c624422

3,292

py

Python

contrib/EISeg/eiseg/data/base.py

haoyuying/PaddleSeg

6607d88df39500330a7b6ed160b4626d9f38df66

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

1

2021-08-04T02:47:33.000Z

contrib/EISeg/eiseg/data/base.py

isshf/PaddleSeg

6607d88df39500330a7b6ed160b4626d9f38df66

[ "Apache-2.0" ]

null

contrib/EISeg/eiseg/data/base.py

isshf/PaddleSeg

6607d88df39500330a7b6ed160b4626d9f38df66

[ "Apache-2.0" ]

2

2021-08-04T02:48:50.000Z

2021-11-16T08:13:41.000Z

import random import pickle import cv2 import numpy as np import paddle import paddleseg.transforms as T from .points_sampler import MultiPointSampler def get_unique_labels(x, exclude_zero=False): obj_sizes = np.bincount(x.flatten()) labels = np.nonzero(obj_sizes)[0].tolist() if exclude_zero: la...

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0

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111

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0.012195

0

null

0

null

0

1

0

4d6be0364dfeb7a10616e3c99f46ad7c4e3cb501

1,008

py

Python

handler/createThumbnail.py

brainlife/ezbids

886c69942d19d59dc48d5049f226bd7bb98a8cb8

[ "MIT" ]

7

2020-08-07T20:46:27.000Z

2022-03-21T12:08:20.000Z

handler/createThumbnail.py

brainlife/ezbids

886c69942d19d59dc48d5049f226bd7bb98a8cb8

[ "MIT" ]

36

2020-10-18T15:17:17.000Z

2022-03-31T14:41:26.000Z

handler/createThumbnail.py

brainlife/ezbids

886c69942d19d59dc48d5049f226bd7bb98a8cb8

[ "MIT" ]

4

2020-07-29T16:48:55.000Z

2021-11-17T22:13:19.000Z

#!/usr/bin/env python3 """ Created on Wed Feb 17 08:32:55 2021 Deface anatomical image(s) @author: dlevitas """ import os, sys import nibabel as nib import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt plt.style.use('dark_background') from math import floor os.environ[ 'MPLCONFIGDIR' ] = '/tmp...

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null

0

null

0

1

0

4d6eb4361eb99ba59182cf00398ec7253f4ded06

4,602

py

Python

test/functional/feature_uaclient.py

syedrizwanmy/bitcoin-abc

1241ef50e90d183421504fd783b9fd4dd6c1386a

[ "MIT" ]

1,266

2017-05-02T07:02:29.000Z

2022-03-31T17:15:44.000Z

test/functional/feature_uaclient.py

EGYVOICE/bitcoin-abc-avalanche

e0f1fe857e1fc85f01903f1c323c2d5c54aecc1c

[ "MIT" ]

426

2017-05-07T12:40:52.000Z

2022-03-29T18:12:01.000Z

test/functional/feature_uaclient.py

EGYVOICE/bitcoin-abc-avalanche

e0f1fe857e1fc85f01903f1c323c2d5c54aecc1c

[ "MIT" ]

721

2017-05-07T10:36:11.000Z

2022-03-15T09:07:48.000Z

#!/usr/bin/env python3 # Copyright (c) 2021 The Bitcoin developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test the -uaclientname and -uaclientversion option.""" import re from test_framework.test_framework import Bitc...

48.442105

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0.031791

0.625574

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0.435888

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157

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null

0

null

0

1

0

4d6f1a664c1307c758152f80bcc30999ef1ce302

5,619

py

Python

tests/test_dispersion_formulas.py

mnishida/refractiveindex.info-Pandas

05317271ee9e550287887536ee03485164949ba2

[ "MIT" ]

1

2021-08-04T05:09:16.000Z

tests/test_dispersion_formulas.py

mnishida/refractiveindex.info-Pandas

05317271ee9e550287887536ee03485164949ba2

[ "MIT" ]

4

2021-08-16T07:15:10.000Z

2021-09-04T08:47:47.000Z

tests/test_dispersion_formulas.py

mnishida/refractiveindex.info-Pandas

05317271ee9e550287887536ee03485164949ba2

[ "MIT" ]

1

2021-08-04T05:09:13.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import annotations import unittest import numpy as np import numpy.testing as npt import pandas as pd from riip.material import RiiMaterial class KnownValues(unittest.TestCase): known_values = [ (1, [0.0 for _ in range(17)], 1.0, 1.0), ...

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0

null

0

null

0

1

0

4d71a5d711522e37eda93e8de3bbe07019f81e95

3,832

py

Python

neutron/tests/unit/services/logapi/rpc/test_server.py

mcadariu/neutron

35494af5a25efb8b314941ab85b44923654f6acc

[ "Apache-2.0" ]

1

2018-07-04T07:59:31.000Z

neutron/tests/unit/services/logapi/rpc/test_server.py

ljzjohnson/neutron

d78664321482c15981a09642985a540195e754e3

[ "Apache-2.0" ]

null

neutron/tests/unit/services/logapi/rpc/test_server.py

ljzjohnson/neutron

d78664321482c15981a09642985a540195e754e3

[ "Apache-2.0" ]

1

2018-08-28T17:13:16.000Z

# Copyright (c) 2017 Fujitsu Limited # 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 requi...

40.765957

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0

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0.276923

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null

0

null

0

1

0

4d72a1c0cc4948586f7b3056d01b428148d2c15b

942

py

Python

src/ipyradiant/tests/test_servicepatch_rdflib.py

sanbales/ipyradiant

e798f3575cb08b539c04129b0c7ee74771246101

[ "BSD-3-Clause" ]

null

src/ipyradiant/tests/test_servicepatch_rdflib.py

sanbales/ipyradiant

e798f3575cb08b539c04129b0c7ee74771246101

[ "BSD-3-Clause" ]

null

src/ipyradiant/tests/test_servicepatch_rdflib.py

sanbales/ipyradiant

e798f3575cb08b539c04129b0c7ee74771246101

[ "BSD-3-Clause" ]

null

""" Unit Tests for Service Patch """ # Copyright (c) 2021 ipyradiant contributors. # Distributed under the terms of the Modified BSD License. import ipyradiant import rdflib LINKEDDATA_QUERY = """ SELECT DISTINCT ?s ?p ?o WHERE { SERVICE <http://linkeddata.uriburner.com/sparql> { ...

22.97561

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0.034884

0.062016

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0.320594

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40

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0

0.137931

0

null

0

null

0

1

0

4d72f8b8e24cd048f0649233ff63ab5878c4cdbc

6,552

py

Python

tests/plugins/project/test_git.py

cloudblue/connect-cli

4b0b460782a27e5d96a106579f082cbccfe10c67

[ "Apache-2.0" ]

12

2020-10-10T10:53:16.000Z

2022-02-16T10:15:56.000Z

tests/plugins/project/test_git.py

cloudblue/connect-cli

4b0b460782a27e5d96a106579f082cbccfe10c67

[ "Apache-2.0" ]

37

2020-09-28T12:00:52.000Z

2021-12-20T12:38:25.000Z

tests/plugins/project/test_git.py

cloudblue/connect-cli

4b0b460782a27e5d96a106579f082cbccfe10c67

[ "Apache-2.0" ]

11

2020-11-04T18:17:01.000Z

2022-02-23T08:18:07.000Z

import subprocess from collections import OrderedDict import pytest from connect.cli.plugins.project import git @pytest.mark.parametrize( ('str', 'result'), ( ('0.0.0', True), ('0.0.4', True), ('1.0.0', True), ('1.2.0', True), ('1.2.3', True), ('0.0', True), ...

32.117647

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0.064706

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null

0

null

0

1

0

4d7317541546d8bbcf5ef1e2b7e13eb1d36a67cc

737

py

Python

src/dao/user.py

lokaimoma/Flask-QR-Code-Web-APP

5789753757aa1939119a799cbc6bda023ea75bbc

[ "MIT" ]

2

2022-03-05T18:54:15.000Z

2022-03-24T12:19:22.000Z

src/dao/user.py

lokaimoma/Flask-QR-Code-Web-APP

5789753757aa1939119a799cbc6bda023ea75bbc

[ "MIT" ]

null

src/dao/user.py

lokaimoma/Flask-QR-Code-Web-APP

5789753757aa1939119a799cbc6bda023ea75bbc

[ "MIT" ]

null

# Created by Kelvin_Clark on 3/5/2022, 6:37 PM from typing import Optional from src.models.entities.user import User from src import database as db class UserDao: @staticmethod def get_user_by_email(email: str) -> Optional[User]: return User.query.filter_by(email=email).first() @staticmethod ...

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null

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null

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4d735b8b416b377c0ccb95d07dcbca87d8a4365f

839

py

Python

dmoj/dmpg18g1.py

pi-guy-in-the-sky/competitive-programming

e079f6caf07b5de061ea4f56218f9b577e49a965

[ "MIT" ]

null

dmoj/dmpg18g1.py

pi-guy-in-the-sky/competitive-programming

e079f6caf07b5de061ea4f56218f9b577e49a965

[ "MIT" ]

null

dmoj/dmpg18g1.py

pi-guy-in-the-sky/competitive-programming

e079f6caf07b5de061ea4f56218f9b577e49a965

[ "MIT" ]

1

2020-10-25T05:46:57.000Z

# Problem ID: dmpg18g1 # By Alexander Cai 2019-12-09 # Solved import sys FILLED = -1 EMPTY = 0 data = sys.stdin.read().split('\n') n, k = map(int, data[0].split()) chairs = [FILLED for _ in range(n)] for j in map(int, data[1].split()): chairs[j-1] = EMPTY for i, j in enumerate(map(int, data[2].split())): i...

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null

0

null

0

1

0

4d735bc291be770b9f45354d1d88f6bbaa19cdc6

25,884

py

Python

tests/test_base.py

tailhook/trafaret

1968a0561e42d98094a5b90adbd6b0de49e7a4d9

[ "BSD-2-Clause" ]

null

tests/test_base.py

tailhook/trafaret

1968a0561e42d98094a5b90adbd6b0de49e7a4d9

[ "BSD-2-Clause" ]

null

tests/test_base.py

tailhook/trafaret

1968a0561e42d98094a5b90adbd6b0de49e7a4d9

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- import unittest import trafaret as t from collections import Mapping as AbcMapping from trafaret import extract_error, ignore, DataError from trafaret.extras import KeysSubset class TestAnyTrafaret(unittest.TestCase): def test_any(self): self.assertEqual( (t.Any() >> ig...

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0.188034

0

null

0

null

0

1

0

4d73ae8092a1ed93a90f98b70314fba1d7c65aff

6,107

py

Python

libdesktop/desktopfile.py

bharadwaj-raju/libdesktop

4d6b815755c76660b6ef4d2db6f54beff38c0db7

[ "MIT" ]

12

2016-07-08T12:59:24.000Z

2021-03-29T01:01:56.000Z

libdesktop/desktopfile.py

bharadwaj-raju/libdesktop

4d6b815755c76660b6ef4d2db6f54beff38c0db7

[ "MIT" ]

4

2016-10-12T10:28:19.000Z

2016-11-08T10:04:30.000Z

libdesktop/desktopfile.py

bharadwaj-raju/libdesktop

4d6b815755c76660b6ef4d2db6f54beff38c0db7

[ "MIT" ]

1

2016-10-02T00:15:21.000Z

# coding: utf-8 # This file is part of libdesktop # The MIT License (MIT) # # Copyright (c) 2016 Bharadwaj Raju # # 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, includ...

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null

0

null

0

1

0

4d74aef73934a96f618c4d0192a7d28c451a6713

2,887

py

Python

losses.py

abhinav-2912/Polyp-Segmentation

82f2a309bafb073dc7c12ec85d196c9367b4c702

[ "MIT" ]

null

losses.py

abhinav-2912/Polyp-Segmentation

82f2a309bafb073dc7c12ec85d196c9367b4c702

[ "MIT" ]

null

losses.py

abhinav-2912/Polyp-Segmentation

82f2a309bafb073dc7c12ec85d196c9367b4c702

[ "MIT" ]

null

import os import cv2 import keras import numpy as np import albumentations as A import tensorflow as tf from keras import backend as K def jaccard_distance(y_true, y_pred, smooth=100): intersection = K.sum(K.abs(y_true * y_pred), axis=-1) sum_ = K.sum(K.abs(y_true) + K.abs(y_pred), axis=-1) jac = (intersec...

37.012821

108

0.66124

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2,887

3.743381

0.205703

0.068009

0.042437

0.070729

0.407508

0.307943

0.220348

0.177911

0

0.013845

0.224454

2,887

78

109

37.012821

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0.366817

0

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0

1

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false

0

0.184211

0.026316

0.552632

0

null

0

null

0

1

0

4d756cbf6b405451463d1b3c51d20e4b11805c50

5,045

py

Python

tests/sources/doctest/load_test.py

akshitdewan/ok-client

3c5eca17100eed808023a815654cfe1c95179080

[ "Apache-2.0" ]

30

2018-07-10T17:32:49.000Z

2022-01-03T16:50:56.000Z

tests/sources/doctest/load_test.py

akshitdewan/ok-client

3c5eca17100eed808023a815654cfe1c95179080

[ "Apache-2.0" ]

62

2018-08-07T18:43:33.000Z

2022-02-17T20:53:03.000Z

tests/sources/doctest/load_test.py

akshitdewan/ok-client

3c5eca17100eed808023a815654cfe1c95179080

[ "Apache-2.0" ]

26

2018-11-13T22:12:47.000Z

2022-03-20T00:42:26.000Z

from client import exceptions as ex from client.sources import doctest from client.sources.doctest import models import mock import unittest import os.path class LoadTest(unittest.TestCase): VALID_FILE = 'valid.py' VALID_MODULE = os.path.splitext(VALID_FILE)[0] INVALID_FILE = 'invalid.ext' FUNCTION = ...

34.087838

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0.303697

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147

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0.245763

0

null

0

null

0

1

0

4d781dcbcf008c3f1865cdc43e7018be27ebf9f4

382

py

Python

process.py

seiferteric/readon

f4926b8c382bb3dfd6076c50ac0250aaabfab248

[ "MIT" ]

null

process.py

seiferteric/readon

f4926b8c382bb3dfd6076c50ac0250aaabfab248

[ "MIT" ]

null

process.py

seiferteric/readon

f4926b8c382bb3dfd6076c50ac0250aaabfab248

[ "MIT" ]

null

from rdflib import Graph import json import glob books = {} rdf_files = glob.glob("gutindex/cache/epub/*/*.rdf") i = 1 for rdf_file in rdf_files: g = Graph() g.parse(rdf_file) for s,p,o in g: if 'title' in p: books[str(o)] = str(s) print(i, str(o)) i+=1 with open("g...

17.363636

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0

0.007326

0.28534

382

21

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0.765568

0

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0.070866

0

1

0

false

0

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0

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0.0625

0

null

0

null

0

1

0

4d793706457e29ac7c89f01a4a25bd52a787ecca

3,959

py

Python

Stream/TransportStream.py

SeuSQ/SimpleShark

a7da2aa26b3e6f67f160008c0a19078ccfd3ab98

[ "MIT" ]

1

2019-10-18T15:44:58.000Z

Stream/TransportStream.py

SeuSQ/SimpleShark

a7da2aa26b3e6f67f160008c0a19078ccfd3ab98

[ "MIT" ]

null

Stream/TransportStream.py

SeuSQ/SimpleShark

a7da2aa26b3e6f67f160008c0a19078ccfd3ab98

[ "MIT" ]

null

from Stream.Stream import Stream class TransportStream(Stream): """ 传输层流对象代表一个传输层流，包含这个流中的所有数据包以及流的基本信息 protocol: 传输层的具体协议，UDP或TCP side_a: A端IP地址（流的第一条报文的src） side_b: B端IP地址（流的第一条报文的dst） port_a: A端端口号 port_b: B端端口号 packets：流的报文列表 stream_id: wireshark内的stream index direct: ...

36.657407

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0.380649

0.361553

0

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0.484213

3,959

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0

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0.212121

0

null

0

null

0

1

0

4d79c1863feabc09d18bc9b268afe13bc22098ed

9,775

py

Python

cea_calibration/validation.py

cooling-singapore/CalibCEA

63013d46ec92faf8c28c3e937944ae803a3a9088

[ "MIT" ]

1

2020-10-08T08:24:47.000Z

cea_calibration/validation.py

cooling-singapore/CalibCEA

63013d46ec92faf8c28c3e937944ae803a3a9088

[ "MIT" ]

2

2020-11-04T15:59:54.000Z

2021-11-16T02:22:30.000Z

cea_calibration/validation.py

cooling-singapore/CalibCEA

63013d46ec92faf8c28c3e937944ae803a3a9088

[ "MIT" ]

1

2020-11-04T15:48:13.000Z

""" This tool compares measured data (observed) with model outputs (predicted), used in procedures of calibration and validation """ from __future__ import division from __future__ import print_function import os from math import sqrt import pandas as pd from sklearn.metrics import mean_squared_error as calc_mean_squar...

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null

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null

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1

0

4d7ab81b22aae5458f8deb86c17e6d6e000d4ad5

1,337

py

Python

apps/jobs/settings/config.py

rainydaygit/testtcloudserver

8037603efe4502726a4d794fb1fc0a3f3cc80137

[ "MIT" ]

349

2020-08-04T10:21:01.000Z

2022-03-23T08:31:29.000Z

apps/jobs/settings/config.py

rainydaygit/testtcloudserver

8037603efe4502726a4d794fb1fc0a3f3cc80137

[ "MIT" ]

2

2021-01-07T06:17:05.000Z

2021-04-01T06:01:30.000Z

apps/jobs/settings/config.py

rainydaygit/testtcloudserver

8037603efe4502726a4d794fb1fc0a3f3cc80137

[ "MIT" ]

70

2020-08-24T06:46:14.000Z

2022-03-25T13:23:27.000Z

try: from public_config import * except ImportError: pass HOST = '0.0.0.0' PORT = 9038 SERVICE_NAME = 'jobs' SERVER_ENV = 'prod' SQLALCHEMY_POOL_SIZE = 10 SQLALCHEMY_POOL_RECYCLE = 3600 JOBS = [ { # 任务信用积分每日检查，每周一到每周五早上 10:30 分运行 # 检查每个设备的借用日期是否超时：发送提醒邮件，扣除信用分 1分 'id': 'credit-check...

27.285714

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0

null

0

null

0

1

0

4d7ad64476a0364d8dddccf7527a5fab1bf906d6

918

py

Python

exercieses/openInventory/mouseTrial.py

SimSam115/orsr_bbb

6b81f0637fedc00258114d4660ceadb9dd286909

[ "MIT" ]

null

exercieses/openInventory/mouseTrial.py

SimSam115/orsr_bbb

6b81f0637fedc00258114d4660ceadb9dd286909

[ "MIT" ]

null

exercieses/openInventory/mouseTrial.py

SimSam115/orsr_bbb

6b81f0637fedc00258114d4660ceadb9dd286909

[ "MIT" ]

null

import pyautogui, pygetwindow, time screen = pygetwindow.getWindowsWithTitle('Old School RuneScape')[0] centerRatio = (2.8,2.8) def move(direction,spaces): vel = [0,0] if direction == "up": vel[1] = 0.32; if direction == "down": vel[1] = -0.32; if direction == "left": vel[0] = 0.3; if direct...

28.6875

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null

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