xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

6d3cd024737891057712136d2e705890110f9afe

4,896

py

Python

tools/generate_pseudo_label.py

Jmq14/FCOS

5b9b7c2757584b323545988838d020f5b2b9f002

[ "BSD-2-Clause" ]

null

tools/generate_pseudo_label.py

Jmq14/FCOS

5b9b7c2757584b323545988838d020f5b2b9f002

[ "BSD-2-Clause" ]

null

tools/generate_pseudo_label.py

Jmq14/FCOS

5b9b7c2757584b323545988838d020f5b2b9f002

[ "BSD-2-Clause" ]

1

2020-04-14T07:19:16.000Z

import os import numpy as np from pycocotools.coco import COCO import cv2 from tqdm import tqdm import argparse import json import torch from fcos_core.structures.bounding_box import BoxList from fcos_core.structures.boxlist_ops import boxlist_iou def generate_pseudo_label_with_confidence_score(boxes, image_id, sco...

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null

0

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0

6d3d502a9e4fab4b8d06fc5ff16a2568aab18edb

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py

Python

tests/unit/test_public_html.py

milescsmith/cookiecutter-wordpress

3bc3178af15e481d3a18df4ff4fcc93f618a6fdc

[ "MIT" ]

null

tests/unit/test_public_html.py

milescsmith/cookiecutter-wordpress

3bc3178af15e481d3a18df4ff4fcc93f618a6fdc

[ "MIT" ]

null

tests/unit/test_public_html.py

milescsmith/cookiecutter-wordpress

3bc3178af15e481d3a18df4ff4fcc93f618a6fdc

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pytest class SetupPublicHtml: @pytest.fixture() def context(self): return None @pytest.fixture() def template(self, cookies, context): if context is None: return cookies.bake() else: return cookies.bake(extra_context=cont...

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null

0

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6d3d92d541909aa34760d1f3e45a73e1d7ed39b8

6,562

py

Python

Learn_matplotlib.py

maufia/MyPyCourse

5818182992f93745bee4904768442e99837e6d61

[ "MIT" ]

null

Learn_matplotlib.py

maufia/MyPyCourse

5818182992f93745bee4904768442e99837e6d61

[ "MIT" ]

null

Learn_matplotlib.py

maufia/MyPyCourse

5818182992f93745bee4904768442e99837e6d61

[ "MIT" ]

null

"""Learn matplotlib""" import os import easygui as eg import csv import matplotlib.pyplot as plt TITLE = """Learn - Matplotlib """ def select_file() -> str: """Use EasyGUI to select a function""" current_directory = os.path.join(os.getcwd(), 'Data') selected_file = eg.fileopenbox(title=f'{TITLE}: Open...

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null

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6d3dde38158663d28e76c909e8c536123b26caa7

4,262

py

Python

isaactest/tests/accordion_behaviour.py

jsharkey13/isaac-selenium-testing

fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8

[ "MIT" ]

null

isaactest/tests/accordion_behaviour.py

jsharkey13/isaac-selenium-testing

fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8

[ "MIT" ]

1

2016-01-15T11:28:06.000Z

2016-01-25T17:09:18.000Z

isaactest/tests/accordion_behaviour.py

jsharkey13/isaac-selenium-testing

fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8

[ "MIT" ]

1

2019-05-14T16:53:49.000Z

import time from ..utils.log import log, INFO, ERROR, PASS from ..utils.i_selenium import assert_tab, image_div from ..utils.i_selenium import wait_for_xpath_element, wait_for_invisible_xpath from ..utils.isaac import open_accordion_section, close_accordion_section, wait_accordion_open, wait_accordion_closed from ..tes...

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null

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1

6d3eb041ca451c14bb7749af771a32d51f111d6d

587

py

Python

yggdrasil/communication/AsciiMapComm.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

22

2019-02-05T15:20:07.000Z

2022-02-25T09:00:40.000Z

yggdrasil/communication/AsciiMapComm.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

48

2019-02-15T20:41:24.000Z

2022-03-16T20:52:02.000Z

yggdrasil/communication/AsciiMapComm.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

16

2019-04-27T03:36:40.000Z

2021-12-02T09:47:06.000Z

from yggdrasil.communication import FileComm class AsciiMapComm(FileComm.FileComm): r"""Class for handling I/O from/to a ASCII map on disk. Args: name (str): The environment variable where file path is stored. **kwargs: Additional keywords arguments are passed to parent class. """ _...

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null

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null

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1

6d3f8a189f427be39fe163edc538d242e89521a0

2,970

py

Python

docker/dstat/plugins/dstat_nfsstat4.py

hzy9819/GreenPlum_WooKongDB

9dca9b3bcd15f29b2a0136acc818064222220059

[ "PostgreSQL", "Apache-2.0" ]

34

2021-01-18T14:25:24.000Z

2021-06-05T03:21:10.000Z

docker/dstat/plugins/dstat_nfsstat4.py

hzy9819/GreenPlum_WooKongDB

9dca9b3bcd15f29b2a0136acc818064222220059

[ "PostgreSQL", "Apache-2.0" ]

null

docker/dstat/plugins/dstat_nfsstat4.py

hzy9819/GreenPlum_WooKongDB

9dca9b3bcd15f29b2a0136acc818064222220059

[ "PostgreSQL", "Apache-2.0" ]

2

2021-04-20T20:11:08.000Z

2021-06-02T02:56:16.000Z

### Author: Adam Michel <elfurbe@furbism.com> ### Based on work by: Dag Wieers <dag@wieers.com> class dstat_plugin(dstat): def __init__(self): self.name = 'nfs4 client' # this vars/nick pair is the ones I considered relevant. Any set of the full list would work. self.vars = ('read', 'write'...

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null

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6d4017e7261ae361b154fa97a6f870b3295280f2

1,873

py

Python

astropyp/instruments/decam/pipeline.py

fred3m/astropyp

414c9e6d84da2604c6466b2046827d8b1988edab

[ "BSD-3-Clause" ]

8

2016-04-28T22:19:22.000Z

2022-03-14T04:22:00.000Z

astropyp/instruments/decam/pipeline.py

fred3m/astropyp

414c9e6d84da2604c6466b2046827d8b1988edab

[ "BSD-3-Clause" ]

null

astropyp/instruments/decam/pipeline.py

fred3m/astropyp

414c9e6d84da2604c6466b2046827d8b1988edab

[ "BSD-3-Clause" ]

null

import datapyp import warnings import os class DecamPipeError(Exception): pass class Pipeline(datapyp.core.Pipeline): def __init__(self, **kwargs): from datapyp.utils import get_bool # Make sure that the user included a dictionary of paths to initialize the pipeline if 'paths' not in k...

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null

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6d409d33559b4a6519981780018a2f54e1281d04

3,487

py

Python

powerlaw.py

AlexanderDavid/Powerlaw-Highway-Env

e3e3b6277e0a75e4dcbc7988a9cb144137328d22

[ "MIT" ]

null

powerlaw.py

AlexanderDavid/Powerlaw-Highway-Env

e3e3b6277e0a75e4dcbc7988a9cb144137328d22

[ "MIT" ]

null

powerlaw.py

AlexanderDavid/Powerlaw-Highway-Env

e3e3b6277e0a75e4dcbc7988a9cb144137328d22

[ "MIT" ]

null

import gym import highway_env from agent import Agent import pandas as pd import numpy as np env = gym.make("highway-v0") done = False # Notes # Action space between 0 and 4 inclusive # 0 is merge left # 1 is do nothing # 2 is merge right # 3 is speed up # 4 is slow down # ## Obs space is a 5x5 matrix with values be...

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0

6d41975bab1b82a3f84cbeb994a57f4874792563

849

py

Python

terraform/module/lambda/src/timestream_data_writer.py

Jimon-s/terraform-example-timestream

f24b3d5feb1d497374c52bff64308a296a01d158

[ "MIT" ]

1

2021-09-12T08:54:48.000Z

terraform/module/lambda/src/timestream_data_writer.py

Jimon-s/terraform-example-timestream

f24b3d5feb1d497374c52bff64308a296a01d158

[ "MIT" ]

null

terraform/module/lambda/src/timestream_data_writer.py

Jimon-s/terraform-example-timestream

f24b3d5feb1d497374c52bff64308a296a01d158

[ "MIT" ]

null

from typing import List class TimeStreamDataWriter: def __init__(self, client) -> None: self.client = client def write_records(self, database_name: str, table_name: str, records: List[dict], common_attributes: List[dict] = None,): if self.client is None: raise Exception('client i...

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null

0

null

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1

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6d43fd7c79d6110719d20a77a2cbf996accb638e

4,015

py

Python

zodiacy/cli.py

greenify/zodiacy

faf46a10b9b70869cb4caca02027921f1418cfcf

[ "MIT" ]

1

2015-10-16T10:24:53.000Z

zodiacy/cli.py

greenify/zodiacy

faf46a10b9b70869cb4caca02027921f1418cfcf

[ "MIT" ]

null

zodiacy/cli.py

greenify/zodiacy

faf46a10b9b70869cb4caca02027921f1418cfcf

[ "MIT" ]

null

#!/usr/bin/env python3 # encoding: utf-8 import argparse import sqlite3 from os import path from .wrapper import wrap_calls, wrap_corpus import signal signal.signal(signal.SIGPIPE, signal.SIG_DFL) """generate_horoscope.py: Generates horoscopes based provided corpuses""" __author__ = "Project Zodiacy" __copyright__ =...

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null

0

1

0

6d444a4f6aefa8f1cb4400d8d79d72be67e0ac06

765

py

Python

prosrs/utility/constants.py

compdyn/ProSRS

d9f8f1992af9ebd8570795ed231ee59cb6901e8b

[ "NCSA" ]

2

2019-03-03T22:32:18.000Z

2019-03-04T14:51:01.000Z

prosrs/utility/constants.py

compdyn/ProSRS

d9f8f1992af9ebd8570795ed231ee59cb6901e8b

[ "NCSA" ]

null

prosrs/utility/constants.py

compdyn/ProSRS

d9f8f1992af9ebd8570795ed231ee59cb6901e8b

[ "NCSA" ]

null

""" Copyright (C) 2016-2019 Chenchao Shou Licensed under Illinois Open Source License (see the file LICENSE). For more information about the license, see http://otm.illinois.edu/disclose-protect/illinois-open-source-license. Define constants. """ # file templates STATE_NPZ_FILE_TEMP = 'optimizer_state_%s.npz' # file ...

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1

null

0

2

6d4642e8f398da24a0527a67fb597113262e14dc

732

py

Python

ioloop-futures/future_done_callback.py

psuresh39/async-design-patterns

f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9

[ "Apache-2.0" ]

3

2021-02-25T22:20:07.000Z

2021-07-02T09:43:07.000Z

ioloop-futures/future_done_callback.py

psuresh39/async-design-patterns

f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9

[ "Apache-2.0" ]

null

ioloop-futures/future_done_callback.py

psuresh39/async-design-patterns

f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9

[ "Apache-2.0" ]

2

2021-01-27T08:44:31.000Z

2021-05-31T16:36:34.000Z

__author__ = 'psuresh' import asyncio @asyncio.coroutine def slow_operation(future): print("inside task") yield from asyncio.sleep(1) print("task done") future.set_result('Future is done!') def got_result(future): print("inside callback") print(future.result()) loop.stop() loop = async...

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null

0

1

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6d4a0bcb9c1a2d9b83eb8672bd2a88bd3b493c65

6,555

py

Python

resources.py

cozhiv/tokenauthentication

c6fec21134d55177b99b23dfe21a89d23eda8394

[ "MIT" ]

null

resources.py

cozhiv/tokenauthentication

c6fec21134d55177b99b23dfe21a89d23eda8394

[ "MIT" ]

null

resources.py

cozhiv/tokenauthentication

c6fec21134d55177b99b23dfe21a89d23eda8394

[ "MIT" ]

null

from flask_restful import Resource, reqparse from models import UserModel, RevokedTokenModel, PortfolioModel from flask_jwt_extended import (create_access_token, create_refresh_token, jwt_required, jwt_refresh_token_required, get_jwt_identity, get_raw_jwt, get_jwt_claims) import json from flask import request parser = ...

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null

0

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6d4a1b0bb0e6cd8b58de78b8042c2fe98a20bb35

1,164

py

Python

src/data/get_raw_data.py

oscarv17/titanic-disaster-project

b3663c6e02ca2796dd982e0b6fe624968a935963

[ "MIT" ]

null

src/data/get_raw_data.py

oscarv17/titanic-disaster-project

b3663c6e02ca2796dd982e0b6fe624968a935963

[ "MIT" ]

null

src/data/get_raw_data.py

oscarv17/titanic-disaster-project

b3663c6e02ca2796dd982e0b6fe624968a935963

[ "MIT" ]

null

import os import kaggle from dotenv import find_dotenv, load_dotenv import logging # setting credentials os.system('set KAGGLE_USERNAME =' + os.environ.get('kaggle_username')) os.system('set KAGGLE_KEY =' + os.environ.get('kaggle_key')) # function to extract the data def extractData(path): os.syste...

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0

null

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6d4b25fdee1ba1da4de6a0ee18903a26769fc38d

4,031

py

Python

4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py

moni2096/Data-Engineering-Nanodegree---Udacity

6202a535ebc5ff95921ce56d37f8116e3e961a3b

[ "MIT" ]

4

2021-07-02T06:17:53.000Z

2022-01-31T19:54:20.000Z

4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py

moni2096/Data-Engineering-Nanodegree-Udacity

6202a535ebc5ff95921ce56d37f8116e3e961a3b

[ "MIT" ]

null

4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py

moni2096/Data-Engineering-Nanodegree-Udacity

6202a535ebc5ff95921ce56d37f8116e3e961a3b

[ "MIT" ]

null

from datetime import datetime, timedelta import os from airflow import DAG from airflow.operators.dummy_operator import DummyOperator from airflow.operators import (StageToRedshiftOperator, LoadFactOperator, LoadDimensionOperator, DataQualityOperator) from helpers import SqlQueries def...

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null

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6d4b7c11dabe41f806cbc11a1847f9f742c15d13

1,436

py

Python

jupyterlab/tests/test_build_api.py

orpheus92/jupyter-beta

3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5

[ "BSD-3-Clause" ]

null

jupyterlab/tests/test_build_api.py

orpheus92/jupyter-beta

3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5

[ "BSD-3-Clause" ]

null

jupyterlab/tests/test_build_api.py

orpheus92/jupyter-beta

3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5

[ "BSD-3-Clause" ]

null

"""Test the kernels service API.""" import threading import time from jupyterlab.tests.utils import LabTestBase, APITester from notebook.tests.launchnotebook import assert_http_error class BuildAPITester(APITester): """Wrapper for build REST API requests""" url = 'lab/api/build' def getStatus(self): ...

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null

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6d4c98d5013f159132ac60e600d786ee3cdc259c

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py

Python

dataloader/__init__.py

nikhil1024/PSMNet

ca5bf6753e84bf448895db42d498a137ed722594

[ "MIT" ]

null

dataloader/__init__.py

nikhil1024/PSMNet

ca5bf6753e84bf448895db42d498a137ed722594

[ "MIT" ]

null

dataloader/__init__.py

nikhil1024/PSMNet

ca5bf6753e84bf448895db42d498a137ed722594

[ "MIT" ]

null

from dataloader import *

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0

1

0

1

0

1

0

6

6d4cf8e51d0fbaf6857ed11d10bfb09f5a4b1db4

3,151

py

Python

Mnist_conv.py

yashchandak/TensorFlow-fun

d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d

[ "MIT" ]

null

Mnist_conv.py

yashchandak/TensorFlow-fun

d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d

[ "MIT" ]

null

Mnist_conv.py

yashchandak/TensorFlow-fun

d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Jun 6 15:11:12 2016 @author: yash """ import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets('MNIST_data', one_hot = True) sess = tf.InteractiveSession() """ Convolutional Neural Net """ def weight_variable(...

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0

null

0

null

0

1

0

6d4d970056f0da094729a71930abf5b79b29e3c3

158

py

Python

51-simple-program-4.py

GunarakulanGunaretnam/python-basic-fundamentals

c62bf939fbaef8895d28f85af9ef6ced70801f96

[ "Apache-2.0" ]

null

51-simple-program-4.py

GunarakulanGunaretnam/python-basic-fundamentals

c62bf939fbaef8895d28f85af9ef6ced70801f96

[ "Apache-2.0" ]

null

51-simple-program-4.py

GunarakulanGunaretnam/python-basic-fundamentals

c62bf939fbaef8895d28f85af9ef6ced70801f96

[ "Apache-2.0" ]

null

while True: user_input = input("Enter something: ") f = open("data.txt", "at") f.write(user_input+"\n") if(user_input == "[STOP]"): f.close() break

15.8

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0

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null

1

0

null

0

2

6d4de2f63adc59698f65d7e1665d7fdff8be3785

5,036

py

Python

models.py

AnselCmy/MetaR

47897ef0268b2c6c00e211be26a983d201e54565

[ "Apache-2.0" ]

84

2019-09-17T03:21:30.000Z

2022-03-18T12:28:59.000Z

models.py

zjukg/MetaR

47897ef0268b2c6c00e211be26a983d201e54565

[ "Apache-2.0" ]

4

2019-09-16T06:30:04.000Z

2022-01-02T12:26:03.000Z

models.py

zjukg/MetaR

47897ef0268b2c6c00e211be26a983d201e54565

[ "Apache-2.0" ]

10

2019-09-24T01:23:18.000Z

2021-08-09T03:00:00.000Z

from embedding import * from collections import OrderedDict import torch class RelationMetaLearner(nn.Module): def __init__(self, few, embed_size=100, num_hidden1=500, num_hidden2=200, out_size=100, dropout_p=0.5): super(RelationMetaLearner, self).__init__() self.embed_size = embed_size se...

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0.175258

0

null

0

null

0

1

0

6d4ff338a5048d79569541e65f7625f4beff0e41

395

py

Python

Olympiad Solutions/URI/1181.py

Ashwanigupta9125/code-DS-ALGO

49f6cf7d0c682da669db23619aef3f80697b352b

[ "MIT" ]

36

2019-12-27T08:23:08.000Z

2022-01-24T20:35:47.000Z

Olympiad Solutions/URI/1181.py

Ashwanigupta9125/code-DS-ALGO

49f6cf7d0c682da669db23619aef3f80697b352b

[ "MIT" ]

10

2019-11-13T02:55:18.000Z

2021-10-13T23:28:09.000Z

Olympiad Solutions/URI/1181.py

Ashwanigupta9125/code-DS-ALGO

49f6cf7d0c682da669db23619aef3f80697b352b

[ "MIT" ]

53

2020-08-15T11:08:40.000Z

2021-10-09T15:51:38.000Z

# Ivan Carvalho # Solution to https://www.urionlinejudge.com.br/judge/problems/view/1181 #!/usr/bin/env python2.7 linha = int(raw_input()) array = [[0 for j in xrange(12)] for k in xrange(12)] operacao = raw_input() for p in xrange(12): for k in xrange(12): array[p][k]=float(raw_input()) if operacao == "S": print "...

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395

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null

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1

6d50afec427856861c969ad355d8c5fa162ca5ff

276

py

Python

packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py

DVSR1966/par4all

86b33ca9da736e832b568c5637a2381f360f1996

[ "MIT" ]

51

2015-01-31T01:51:39.000Z

2022-02-18T02:01:50.000Z

packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py

DVSR1966/par4all

86b33ca9da736e832b568c5637a2381f360f1996

[ "MIT" ]

7

2017-05-29T09:29:00.000Z

2019-03-11T16:01:39.000Z

packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py

DVSR1966/par4all

86b33ca9da736e832b568c5637a2381f360f1996

[ "MIT" ]

12

2015-03-26T08:05:38.000Z

2022-02-18T02:01:51.000Z

from __future__ import with_statement from pyps import workspace with workspace("hyantes.c", "options.c") as w: w.props.constant_path_effects=False f=w["hyantes!do_run_AMORTIZED_DISK"] for l in f.all_loops: l.reduction_variable_expansion() f.display()

30.666667

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0.25

0

null

0

1

0

null

0

1

6d5363097e402538bc42aa0b70cfd1c02f3ca6fb

2,526

py

Python

tests/apps/courses/test_models_subject.py

sampaccoud/richie

3d222aedab0636a84011dced568c5dcd48fc5b15

[ "MIT" ]

null

tests/apps/courses/test_models_subject.py

sampaccoud/richie

3d222aedab0636a84011dced568c5dcd48fc5b15

[ "MIT" ]

null

tests/apps/courses/test_models_subject.py

sampaccoud/richie

3d222aedab0636a84011dced568c5dcd48fc5b15

[ "MIT" ]

null

""" Unit tests for the Subject model """ from django.test import TestCase from cms.api import create_page from richie.apps.courses.factories import CourseFactory, SubjectFactory from richie.apps.courses.models import Subject class SubjectTestCase(TestCase): """ Unit test suite to validate the behavior of th...

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0.241379

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null

0

null

0

1

0

6d53e547415669e075a1146807e89c0b079587f0

2,935

py

Python

Scripts/main.py

MainDuelo/Python-Tkinter-and-SQLite

7f69780ce9c1c8ebe807197448030aed94c3a082

[ "MIT" ]

null

Scripts/main.py

MainDuelo/Python-Tkinter-and-SQLite

7f69780ce9c1c8ebe807197448030aed94c3a082

[ "MIT" ]

null

Scripts/main.py

MainDuelo/Python-Tkinter-and-SQLite

7f69780ce9c1c8ebe807197448030aed94c3a082

[ "MIT" ]

null

from Scripts.bank.bankController import BankController from tkinter import ttk, Tk, Button, Label, END from tkinter.scrolledtext import ScrolledText from Scripts.support.textManipulation import TextManipulation MAROON = "#800000" WHITE = "#FFFFFF" VALUES = "values" class Main: def __init__(self): BankCon...

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null

0

null

0

1

0

6d55e3cd7ef5d22859ae8f2c2273a0f46b67eba4

1,651

py

Python

python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py

vhnatyk/vlsistuff

0981097bd19a0c482728dcc5048a3615ac9a9a90

[ "MIT" ]

26

2018-03-17T18:14:22.000Z

2022-03-14T07:23:13.000Z

python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py

psumesh/vlsistuff

1fe64b093d0581d99c7d826b74c31b8655fa0b31

[ "MIT" ]

1

2019-10-16T10:31:11.000Z

2019-10-17T04:14:53.000Z

python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py

psumesh/vlsistuff

1fe64b093d0581d99c7d826b74c31b8655fa0b31

[ "MIT" ]

7

2018-07-16T07:51:25.000Z

2022-02-15T14:22:54.000Z

#! /usr/bin/env python3 import os,sys,string import sqlite3 from sqlite3 import Error def create_connection(path): connection = None try: connection = sqlite3.connect(path) print("Connection to SQLite DB successful") except Error as e: print(f"The error '{e}' occurred") ret...

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0

null

0

null

0

1

0

6d568baa19ca1079cc5a15acbd9559b0d736935c

1,836

py

Python

cq_editor/icons.py

possibilities/CQ-editor

dc950180b365ae39840f6787c8f5a061492734ed

[ "Apache-2.0" ]

351

2018-06-08T14:36:35.000Z

2022-03-29T22:03:04.000Z

cq_editor/icons.py

possibilities/CQ-editor

dc950180b365ae39840f6787c8f5a061492734ed

[ "Apache-2.0" ]

315

2018-06-08T14:35:08.000Z

2022-03-31T15:45:27.000Z

cq_editor/icons.py

possibilities/CQ-editor

dc950180b365ae39840f6787c8f5a061492734ed

[ "Apache-2.0" ]

71

2018-06-19T02:00:24.000Z

2022-03-25T08:55:02.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri May 25 14:47:10 2018 @author: adam """ from PyQt5.QtGui import QIcon from . import icons_res _icons = { 'app' : QIcon(":/images/icons/cadquery_logo_dark.svg") } import qtawesome as qta _icons_specs = { 'new' : (('fa.file-o',),{}), '...

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null

0

null

0

1

0

6d57153945b51f7d7faf6071ea0fd9dbff460656

2,377

py

Python

domain/meta/schedule.py

trcox/py-core-domain

ca490809b247aef08e7de8981432f31b4f9d31a1

[ "Apache-2.0" ]

null

domain/meta/schedule.py

trcox/py-core-domain

ca490809b247aef08e7de8981432f31b4f9d31a1

[ "Apache-2.0" ]

null

domain/meta/schedule.py

trcox/py-core-domain

ca490809b247aef08e7de8981432f31b4f9d31a1

[ "Apache-2.0" ]

null

# ******************************************************************************* # Copyright 2017 Dell 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/L...

44.849057

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2,377

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0

null

0

null

0

1

0

1

6d57330f5890530f320cf62fd898070beece7685

1,316

py

Python

pyheaders/cpp/enum.py

Roynecro97/pyheaders

0e1e90aef3e18d611ec289b25213e2aa2cc0ab45

[ "MIT" ]

2

2020-05-19T20:19:37.000Z

2021-04-06T18:59:06.000Z

pyheaders/cpp/enum.py

Roynecro97/pyheaders

0e1e90aef3e18d611ec289b25213e2aa2cc0ab45

[ "MIT" ]

6

2020-05-17T14:25:25.000Z

2020-07-13T11:45:21.000Z

pyheaders/cpp/enum.py

Roynecro97/pyheaders

0e1e90aef3e18d611ec289b25213e2aa2cc0ab45

[ "MIT" ]

null

''' Represents a C++ enum. ''' from collections import OrderedDict from typing import Any, Optional, Text, Union class Enum(OrderedDict): ''' Represents a C++ enum. ''' def __init__(self, name, items=None): super().__init__(items or []) self.name = name def __getitem__(self, name...

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0

null

0

null

0

1

0

1

0

3

6d5780d158839c24f720b62513828f2502747533

493

py

Python

Exercicios/ex100.py

mauriciozago/CursoPython3

cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5

[ "MIT" ]

null

Exercicios/ex100.py

mauriciozago/CursoPython3

cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5

[ "MIT" ]

null

Exercicios/ex100.py

mauriciozago/CursoPython3

cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5

[ "MIT" ]

null

from random import randint from time import sleep def sorteia(lista): print('Sorteando 5 valores da lista:', end=' ') for num in range(0, 5): lista.append(randint(1, 10)) sleep(0.5) print(lista[num], end=' ') print('PRONTO!') def somaPar(lista): soma = 0 for valor in list...

19.72

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0

0.030641

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24

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0

0.176471

0

1

0.111111

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0

0.111111

0

0.222222

0

null

0

null

0

1

0

6d5878f65e5314a4e23460be695252643785c2ed

4,728

py

Python

python/fate_client/flow_client/flow_cli/utils/cli_args.py

kakasu/FATE

cfc61ef268154e08a9e7125c047c318c5e5eb42a

[ "Apache-2.0" ]

2

2020-11-21T11:25:08.000Z

2020-11-21T11:25:11.000Z

python/fate_client/flow_client/flow_cli/utils/cli_args.py

TroubleMaker1994/FATE

23ad848bcc7ae7f304a376d3f46f4af26872c8a2

[ "Apache-2.0" ]

null

python/fate_client/flow_client/flow_cli/utils/cli_args.py

TroubleMaker1994/FATE

23ad848bcc7ae7f304a376d3f46f4af26872c8a2

[ "Apache-2.0" ]

1

2021-02-03T08:23:42.000Z

# # Copyright 2019 The FATE 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 appli...

51.956044

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0

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0.019608

0

null

0

null

0

1

0

6d595897f47c1cc37b47f1c81df0318c37ce2e88

5,210

py

Python

lightning_transformers/task/nlp/masked_language_modeling/data.py

maksym-taranukhin/lightning-transformers

aa7202657973b5b65c3c36eb745621043859ebc4

[ "Apache-2.0" ]

null

lightning_transformers/task/nlp/masked_language_modeling/data.py

maksym-taranukhin/lightning-transformers

aa7202657973b5b65c3c36eb745621043859ebc4

[ "Apache-2.0" ]

null

lightning_transformers/task/nlp/masked_language_modeling/data.py

maksym-taranukhin/lightning-transformers

aa7202657973b5b65c3c36eb745621043859ebc4

[ "Apache-2.0" ]

null

# Copyright The PyTorch Lightning team. # # 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 i...

41.68

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null

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0

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6d5b404b1dc5e6d856457623444459cb2d318391

297

py

Python

lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

class Solution: def hasAllCodes(self, s: str, k: int) -> bool: seen = set() i = 0 n = len(s) while i <= n-k: if s[i:i+k] not in seen: seen.add(s[i:i+k]) i += 1 return len(seen)==2 ** k

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null

0

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6d5bd3fb4d8e9779c1930d9978e30ba7ba6d66cc

1,737

py

Python

chipy_org/apps/main/views.py

land-of-apps/chipy.org

be433d0cb3453a1550f344c02d6164b6bf4d9e63

[ "MIT" ]

88

2015-01-01T21:12:18.000Z

2022-03-01T13:36:59.000Z

chipy_org/apps/main/views.py

land-of-apps/chipy.org

be433d0cb3453a1550f344c02d6164b6bf4d9e63

[ "MIT" ]

296

2015-01-02T15:55:19.000Z

2022-03-20T20:11:47.000Z

chipy_org/apps/main/views.py

land-of-apps/chipy.org

be433d0cb3453a1550f344c02d6164b6bf4d9e63

[ "MIT" ]

83

2015-01-25T02:34:24.000Z

2021-11-08T20:28:36.000Z

import datetime import sys import traceback from django.contrib import messages from django.contrib.auth.views import LogoutView from django.http import HttpResponse, HttpResponseServerError from django.template import loader from django.views.generic import TemplateView from chipy_org.apps.meetings.models import Mee...

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null

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1

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1

6d5c27efea898ab26417bfa0e4161873555a02b3

1,718

py

Python

web_market/catalog/models.py

AK-1121/small_market_with_django

95a3b395e272b3c84400cd3d2ef92affe76dc328

[ "MIT" ]

null

web_market/catalog/models.py

AK-1121/small_market_with_django

95a3b395e272b3c84400cd3d2ef92affe76dc328

[ "MIT" ]

null

web_market/catalog/models.py

AK-1121/small_market_with_django

95a3b395e272b3c84400cd3d2ef92affe76dc328

[ "MIT" ]

null

from django.db import models # Create your models here. class ProductType(models.Model): name = models.CharField(max_length=50, unique=True) raiting = models.FloatField() description = models.TextField(default='') class SubProductType(models.Model): name = models.CharField(max_length=50, unique=True...

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6d5cfd7abf19372973186603f8a82d3a006b104a

336

py

Python

src/app/voltdb/voltdb_src/tools/tcpprobe.py

OpenMPDK/SMDK

8f19d32d999731242cb1ab116a4cb445d9993b15

[ "BSD-3-Clause" ]

44

2022-03-16T08:32:31.000Z

2022-03-31T16:02:35.000Z

src/app/voltdb/voltdb_src/tools/tcpprobe.py

H2O0Lee/SMDK

eff49bc17a55a83ea968112feb2e2f2ea18c4ff5

[ "BSD-3-Clause" ]

1

2022-03-29T02:30:28.000Z

2022-03-30T03:40:46.000Z

src/app/voltdb/voltdb_src/tools/tcpprobe.py

H2O0Lee/SMDK

eff49bc17a55a83ea968112feb2e2f2ea18c4ff5

[ "BSD-3-Clause" ]

18

2022-03-19T04:41:04.000Z

2022-03-31T03:32:12.000Z

#!/usr/bin/env python from __future__ import with_statement from sys import argv from socket import socket from contextlib import closing def main(args): host, port = args[1:] with closing(socket()) as s: try: s.connect((host,int(port))) except: return 1 if __name__ == '__main__': exit(main(argv)) # v...

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0.454545

0

null

0

null

0

1

0

1

6d5ee2879ab66f8685eefe4e79bc72d5182956c0

8,313

py

Python

pythonFiles/arcgis_Script.py

huangysh/ASCA_Cluster

3f7ff5df514cbe48730ba0634abe7f9726d3b98e

[ "MIT" ]

null

pythonFiles/arcgis_Script.py

huangysh/ASCA_Cluster

3f7ff5df514cbe48730ba0634abe7f9726d3b98e

[ "MIT" ]

null

pythonFiles/arcgis_Script.py

huangysh/ASCA_Cluster

3f7ff5df514cbe48730ba0634abe7f9726d3b98e

[ "MIT" ]

null

# -*- coding: utf-8 -*- # ********************************************************************************************************************** # MIT License # Copyright (c) 2020 School of Environmental Science and Engineering, Shanghai Jiao Tong University # Permission is hereby granted, free of charge, to any per...

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6d5f3bebf3edb62a00a49fe6236b8ebde098e6fa

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py

Python

examples/example_topop_tb_v4_analysis_roi.py

qiancao/BoneBox

0d10dac7c93f16f0643bebc62c63be2f4bd099f6

[ "BSD-3-Clause" ]

1

2022-03-11T20:49:19.000Z

examples/example_topop_tb_v4_analysis_roi.py

qiancao/BoneBox

0d10dac7c93f16f0643bebc62c63be2f4bd099f6

[ "BSD-3-Clause" ]

null

examples/example_topop_tb_v4_analysis_roi.py

qiancao/BoneBox

0d10dac7c93f16f0643bebc62c63be2f4bd099f6

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Aug 20 21:29:32 2021 @author: qcao Analysis code for example_topop_tb_v3.py Parses and cleans load-driven phantoms. Computes Radiomic signatures. Compares with BvTv. Compare with ROIs """ # FEA and BoneBox Imports import os import sys sys.path.appe...

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null

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null

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6d61966b535b9419b168bfc49be236b95f338598

1,711

py

Python

getKeypoints.py

franzqueissner/mimic-detection

9dc49cf57baaa7da8bb1d8eee0efe00b57384fca

[ "MIT" ]

null

getKeypoints.py

franzqueissner/mimic-detection

9dc49cf57baaa7da8bb1d8eee0efe00b57384fca

[ "MIT" ]

null

getKeypoints.py

franzqueissner/mimic-detection

9dc49cf57baaa7da8bb1d8eee0efe00b57384fca

[ "MIT" ]

null

import os import threading import json from classes import Keypoint def wait_for_frames(): while not os.path.isdir('keypoints/run0'): print("waiting for frame dir, pls start openpose") print("dir detected!") while len(os.listdir("keypoints/run0")) == 0: print("dir empty, waiting for frames"...

29

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1,711

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0

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0.170732

0

null

0

null

0

1

0

6d61df73bcd30bdd6c6b9c5e709c560281476999

1,820

py

Python

django/venues/migrations/0001_initial.py

jdrager/mnl-api

be5ce52ed154ec103f9f911da6753d7f2a0fe736

[ "MIT" ]

1

2018-02-02T18:49:27.000Z

django/venues/migrations/0001_initial.py

monday-night-lights/mnl-api

be5ce52ed154ec103f9f911da6753d7f2a0fe736

[ "MIT" ]

26

2018-02-01T14:39:40.000Z

2021-10-13T14:11:29.000Z

django/venues/migrations/0001_initial.py

jdrager/mnl-api

be5ce52ed154ec103f9f911da6753d7f2a0fe736

[ "MIT" ]

7

2018-02-01T13:33:00.000Z

2019-03-21T01:39:13.000Z

# Generated by Django 2.1.4 on 2019-01-04 01:10 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Venue', fields=[ ...

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1

0

1

0

null

0

2

6d635b80fde3903f9b7a6383d92859ddc318ba94

484

py

Python

test/__init__.py

davidmaignan/test

a2c746bf60ccf96b1d753202fba6725b57527aec

[ "Apache-2.0" ]

null

test/__init__.py

davidmaignan/test

a2c746bf60ccf96b1d753202fba6725b57527aec

[ "Apache-2.0" ]

null

test/__init__.py

davidmaignan/test

a2c746bf60ccf96b1d753202fba6725b57527aec

[ "Apache-2.0" ]

null

# import qgis libs so that ve set the correct sip api version import qgis # pylint: disable=W0611 # NOQA import unittest from test.test_init import TestInit from test.test_resources import TestResourceTest def suite_configuration(): suite = unittest.TestSuite() suite.addTest(TestInit('test_read_init')) ...

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67

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0

null

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1

0

1

0

2

6d635c6db89e149bfd386a8f61c701f4329339cc

6,311

py

Python

locations/spiders/dickeys_barbecue_pit.py

davidchiles/alltheplaces

6f35f6cd652e7462107ead0a77f322caff198653

[ "MIT" ]

297

2017-12-07T01:29:14.000Z

2022-03-29T06:58:01.000Z

locations/spiders/dickeys_barbecue_pit.py

davidchiles/alltheplaces

6f35f6cd652e7462107ead0a77f322caff198653

[ "MIT" ]

2,770

2017-11-28T04:20:21.000Z

2022-03-31T11:29:16.000Z

locations/spiders/dickeys_barbecue_pit.py

davidchiles/alltheplaces

6f35f6cd652e7462107ead0a77f322caff198653

[ "MIT" ]

111

2017-11-27T21:40:02.000Z

2022-01-22T01:21:52.000Z

import scrapy import re from urllib.parse import urlparse from locations.hours import OpeningHours from locations.items import GeojsonPointItem ALL_DAYS = ['Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su'] class DickeysBarbecuePitSpider(scrapy.Spider): name = "dickeys_barbecue_pit" item_attributes = { '...

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null

0

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6d648804452d20f1849971ab4c6c5df716e95168

25,970

py

Python

spotifython/session.py

Guptacos/spotifython

9d42e903f29667906abd959b45b642a9645c60d1

[ "MIT" ]

null

spotifython/session.py

Guptacos/spotifython

9d42e903f29667906abd959b45b642a9645c60d1

[ "MIT" ]

61

2020-04-25T20:17:05.000Z

2020-09-20T20:41:24.000Z

spotifython/session.py

Guptacos/spotifython

9d42e903f29667906abd959b45b642a9645c60d1

[ "MIT" ]

null

""" Session class. """ # Standard library imports import math # Local imports import spotifython.constants as const from spotifython.endpoints import Endpoints import spotifython.utils as utils class Session: """ Represents an interactive Spotify session, tied to a Spotify API token. Use methods here to dea...

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0

null

0

null

0

1

0

1

6d659aab0b30c16249cae3380b770eb52697e6c0

2,993

py

Python

paper/plotPreliminary.py

SebastianGer/biases-in-word-embeddings

001499003caf213acf62dffbe29a54259a60e3e4

[ "MIT" ]

null

paper/plotPreliminary.py

SebastianGer/biases-in-word-embeddings

001499003caf213acf62dffbe29a54259a60e3e4

[ "MIT" ]

null

paper/plotPreliminary.py

SebastianGer/biases-in-word-embeddings

001499003caf213acf62dffbe29a54259a60e3e4

[ "MIT" ]

null

# Plots results of preliminary experiments to determine parameter settings for all other experiments import pandas as pd import matplotlib matplotlib.use('pgf') import matplotlib.pyplot as plt df = pd.read_csv("data/preliminaryWord2vecComplete_clean.csv") df3 = df.query('(skipgram == 1) & (contextwindow == 3)') df5...

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0.713534

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0

0.049531

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0.051724

0

null

0

1

0

null

0

1

ed8cc5798db544fbe8ee797bd37f85e2f59ad788

8,156

py

Python

facePose.py

cyndi088/head-pose-estimation-face-landmark

f4ef5b977800cc8c0c54dae8b86d21f616ecb38b

[ "MIT" ]

null

facePose.py

cyndi088/head-pose-estimation-face-landmark

f4ef5b977800cc8c0c54dae8b86d21f616ecb38b

[ "MIT" ]

null

facePose.py

cyndi088/head-pose-estimation-face-landmark

f4ef5b977800cc8c0c54dae8b86d21f616ecb38b

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- # pylint: disable=C0103 # pylint: disable=E1101 import os import numpy as np import cv2 import caffe def retifyxxyy(img, xxyy): """ let xxyy within image size img: image xxyy: left, right, top, bottom return modified xxyy """ img_height, img_width...

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0

0.264706

0

null

0

null

0

1

0

ed9190d07952044973458f3da01194e2467b9134

763

py

Python

setup_extensions.py

pygeo/pycmbs

0df863e1575ffad21c1ea9790bcbd3a7982d99c6

[ "MIT" ]

9

2015-04-01T04:22:25.000Z

2018-08-31T03:51:34.000Z

setup_extensions.py

pygeo/pycmbs

0df863e1575ffad21c1ea9790bcbd3a7982d99c6

[ "MIT" ]

14

2015-01-27T20:33:10.000Z

2016-06-02T07:23:25.000Z

setup_extensions.py

pygeo/pycmbs

0df863e1575ffad21c1ea9790bcbd3a7982d99c6

[ "MIT" ]

8

2015-02-07T20:46:42.000Z

2019-10-25T00:36:32.000Z

# -*- coding: utf-8 -*- """ This file is part of pyCMBS. (c) 2012- Alexander Loew For COPYING and LICENSE details, please refer to the LICENSE file """ """ module to compile the required python extensions This is for development purposes only! Later on it might be integrated into the standard setup.py """ # http://d...

25.433333

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0.085714

0.1

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763

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true

0

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0

null

0

null

0

1

0

1

0

2

ed9319b4c643894e862dc180400d3e4c6e873027

68

py

Python

src/models/__init__.py

renyi-ai/drfrankenstein

b9064cdea67698f70af07849bc5decaafccac9f3

[ "MIT" ]

4

2021-12-08T14:27:19.000Z

2022-01-05T20:19:03.000Z

src/models/__init__.py

renyi-ai/drfrankenstein

b9064cdea67698f70af07849bc5decaafccac9f3

[ "MIT" ]

null

src/models/__init__.py

renyi-ai/drfrankenstein

b9064cdea67698f70af07849bc5decaafccac9f3

[ "MIT" ]

null

from src.models.classifiers import * from src.models.frank import *

22.666667

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0

0.117647

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2

37

34

0.9

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

ed9343bfb5b3ee8263500da7447ed1563a0c1cf8

10,469

py

Python

tutorials/05-dcr/plot_fwd_2_dcr2d.py

ElliotCheung/simpeg

ce5bde154179ca63798a62a12787a7ec3535472c

[ "MIT" ]

1

2022-02-18T16:31:27.000Z

tutorials/05-dcr/plot_fwd_2_dcr2d.py

ElliotCheung/simpeg

ce5bde154179ca63798a62a12787a7ec3535472c

[ "MIT" ]

null

tutorials/05-dcr/plot_fwd_2_dcr2d.py

ElliotCheung/simpeg

ce5bde154179ca63798a62a12787a7ec3535472c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ DC Resistivity Forward Simulation in 2.5D ========================================= Here we use the module *SimPEG.electromagnetics.static.resistivity* to predict DC resistivity data and plot using a pseudosection. In this tutorial, we focus on the following: - How to define the survey...

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null

0

null

0

1

0

ed936cafecf6046c66b2300745cd962b854537e7

23,944

py

Python

Feature_Selection.py

ksegaba/ML-Pipeline

cd3914563ccd2e2eb863a55e7fe774108280ed47

[ "MIT" ]

12

2019-09-30T21:17:40.000Z

2022-02-11T00:22:52.000Z

Feature_Selection.py

DanyelleJhang/ML-Pipeline

78073fd1004f831c4efdd05e0f1eb78c8bae4fcb

[ "MIT" ]

6

2021-08-03T14:29:16.000Z

2021-11-17T22:39:13.000Z

Feature_Selection.py

DanyelleJhang/ML-Pipeline

78073fd1004f831c4efdd05e0f1eb78c8bae4fcb

[ "MIT" ]

17

2017-05-22T21:03:42.000Z

2022-03-01T15:06:29.000Z

""" PURPOSE: Run feature selection mettestd available from sci-kit learn on a given dataframe Must set path to Miniconda in HPC: export PATH=/mnt/testme/azodichr/miniconda3/bin:$PATH INPUT: -df Feature file for ML. If class/Y values are in a separate file use -df for features and -df2 for class/Y -alg ...

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0.075117

0.08216

0

null

0

null

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1

0

ed95341fd58164725063ce6ee238cb6800234854

6,815

py

Python

analyses/seasonality_paper_st/comparisons/specific.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

analyses/seasonality_paper_st/comparisons/specific.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

analyses/seasonality_paper_st/comparisons/specific.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

# -*- coding: utf-8 -*- import sys import warnings from pathlib import Path PROJECT_DIR = Path(__file__).resolve().parent if sys.path[0] != str(PROJECT_DIR.parent): sys.path.insert(0, str(PROJECT_DIR.parent)) warnings.filterwarnings( "ignore", category=FutureWarning, module="sklearn.utils.deprecation" ) from ...

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null

0

null

0

1

0

ed96aca008acbd291e61b7b834d23df210a0de3f

722

py

Python

scripts/bbann_script/rewrite.py

PwzXxm/BBAnn

2dafce027599b3cdf84070248467294dca2a1042

[ "MIT" ]

11

2021-11-01T06:49:30.000Z

2022-02-25T08:09:21.000Z

scripts/bbann_script/rewrite.py

PwzXxm/BBAnn

2dafce027599b3cdf84070248467294dca2a1042

[ "MIT" ]

null

scripts/bbann_script/rewrite.py

PwzXxm/BBAnn

2dafce027599b3cdf84070248467294dca2a1042

[ "MIT" ]

5

2021-11-04T02:18:41.000Z

2022-03-17T04:13:07.000Z

#!/usr/bin/python3 import sys column_num=eval(sys.argv[1]) print("ARGUMENT column_num: ", column_num) file_name = "tana_res.txt" records = {} with open(file_name) as f: while True: line = f.readline() # Line 1: log file name if not line: break print(line.strip()) key = f.readline().strip() # Line 2: the k...

22.5625

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0.013445

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722

31

72

23.290323

0.754622

0.123269

0

0.08744

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0

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0.038462

0.115385

0

null

0

null

0

1

0

ed96b143353b2e72a3e901bf774af07ab594b2aa

2,743

py

Python

kloppy/tests/test_datafactory.py

ThomasSeidl/kloppy

ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded

[ "BSD-3-Clause" ]

176

2020-04-24T09:12:05.000Z

2022-03-27T07:03:44.000Z

kloppy/tests/test_datafactory.py

ThomasSeidl/kloppy

ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded

[ "BSD-3-Clause" ]

95

2020-04-24T18:37:36.000Z

2022-03-23T21:59:10.000Z

kloppy/tests/test_datafactory.py

ThomasSeidl/kloppy

ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded

[ "BSD-3-Clause" ]

39

2020-05-08T21:45:26.000Z

2022-03-19T09:29:41.000Z

import os from kloppy import DatafactorySerializer from kloppy.domain import ( AttackingDirection, Ground, Orientation, Period, Point, Provider, SetPieceType, ) from kloppy.domain.models.common import DatasetType class TestDatafactory: def test_correct_deserialization(self): b...

33.864198

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0.638717

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2,743

5.750842

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0.114169

0.098361

0.04918

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0.210773

0

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34.2875

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0

null

0

null

0

1

0

ed96c2f783024bd964e139219b7d2d0bf6f1f219

2,308

py

Python

models/BiLSTM_MHATT.py

shiqiuwang/shiqiuwang-N2NCause

a6cdb702b000b62b29ccdbd74bfbb666420124f1

[ "MIT" ]

null

models/BiLSTM_MHATT.py

shiqiuwang/shiqiuwang-N2NCause

a6cdb702b000b62b29ccdbd74bfbb666420124f1

[ "MIT" ]

null

models/BiLSTM_MHATT.py

shiqiuwang/shiqiuwang-N2NCause

a6cdb702b000b62b29ccdbd74bfbb666420124f1

[ "MIT" ]

null

import tensorflow as tf from layers.attention import stacked_multihead_attention from layers.recurrent import rnn_layer from layers.similarity import manhattan_similarity from models.base_model import BaseSiameseNet class LSTMATTBasedSiameseNet(BaseSiameseNet): def __init__( self, ma...

30.368421

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0.596187

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2,308

5.195122

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0.062598

0.065728

0.046948

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0.369327

0.323944

0

0.012862

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30.773333

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0.140625

0

null

0

null

0

1

0

ed974b0d6e70499730b205caa7425ce10c83731b

2,237

py

Python

sciquence/sequences/sliding_window.py

krzjoa/sciquence

6a5f758c757200fffeb0fdc9206462f1f89e2444

[ "MIT" ]

8

2017-10-23T17:59:35.000Z

2021-05-10T03:01:30.000Z

sciquence/sequences/sliding_window.py

krzjoa/sciquence

6a5f758c757200fffeb0fdc9206462f1f89e2444

[ "MIT" ]

2

2019-08-25T19:24:12.000Z

2019-09-05T12:16:10.000Z

sciquence/sequences/sliding_window.py

krzjoa/sciquence

6a5f758c757200fffeb0fdc9206462f1f89e2444

[ "MIT" ]

2

2018-02-28T09:47:53.000Z

2019-08-25T19:24:16.000Z

# Krzysztof Joachimiak 2017 # sciquence: Time series & sequences in Python # # Sliding window # Author: Krzysztof Joachimiak # # License: MIT from sklearn.base import BaseEstimator, TransformerMixin from sklearn.preprocessing import Imputer class SlidingWindow(BaseEstimator, TransformerMixin): # TODO: check ref...

21.509615

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0.588735

253

2,237

5.098814

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0.08062

0.046512

0.029457

0.151938

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0.022307

0.298614

2,237

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0

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null

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null

0

1

0

1

0

1

0

3

ed992d81dea8a5144be3f93a447f968a5f7b383d

2,923

py

Python

ddesigner/conditional.py

Ball-Man/python-ddesigner

2e1522e28389fe6e2d7b40f8877732563d3dd368

[ "MIT" ]

1

2021-08-17T10:40:48.000Z

ddesigner/conditional.py

Ball-Man/python-ddesigner

2e1522e28389fe6e2d7b40f8877732563d3dd368

[ "MIT" ]

null

ddesigner/conditional.py

Ball-Man/python-ddesigner

2e1522e28389fe6e2d7b40f8877732563d3dd368

[ "MIT" ]

null

"""Module containing the logic for an arithmetic parser. Lark is used as a parser generator. """ from typing import Mapping import operator import lark # Default syntax for arithmetic expressions ARITHM_EXPRESSIONS_SYNTAX = """ ?start: or ?or: and | or "||" and -> or_ | or "or" and -> or_ ?and: comparison ...

23.384

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0.609648

331

2,923

5.299094

0.305136

0.051881

0.011973

0.010262

0.152794

0.103763

0

0.280192

2,923

124

71

23.572581

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0

0.441256

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false

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0.051948

0.480519

0

null

0

null

0

1

0

ed999549258bd692481abf7879dce3a39b46c915

5,996

py

Python

src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py

makistsantekidis/opendr

07dee3b59d3487b9c5a93d6946317178a02c9890

[ "Apache-2.0" ]

217

2020-04-10T16:39:36.000Z

2022-03-30T15:39:04.000Z

src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py

makistsantekidis/opendr

07dee3b59d3487b9c5a93d6946317178a02c9890

[ "Apache-2.0" ]

79

2021-06-23T10:40:10.000Z

2021-12-16T07:59:42.000Z

src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py

makistsantekidis/opendr

07dee3b59d3487b9c5a93d6946317178a02c9890

[ "Apache-2.0" ]

29

2021-12-16T09:26:13.000Z

2022-03-29T15:19:18.000Z

# 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 applica...

35.690476

84

0.698299

695

5,996

5.683453

0.217266

0.203544

0.068354

0.048608

0.696709

0.690127

0.660253

0.612911

0.586076

0.548101

0

0.003006

0.223149

5,996

167

85

35.904192

0.844998

0.203469

0

0.509804

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0.105832

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0

1

0.039216

false

0

0.009804

0

0.088235

0

null

1

0

null

0

1

ed9a8d66960ed413540be7e9fc0394c6fc149910

1,656

py

Python

samples/wmi/wmi_request.py

R3dFruitRollUp/PythonForWindows

b253bc5873e7d97087ed22f2753b51fc6880ec18

[ "BSD-3-Clause" ]

1

2018-11-15T11:15:56.000Z

samples/wmi/wmi_request.py

killvxk/PythonForWindows

b253bc5873e7d97087ed22f2753b51fc6880ec18

[ "BSD-3-Clause" ]

null

samples/wmi/wmi_request.py

killvxk/PythonForWindows

b253bc5873e7d97087ed22f2753b51fc6880ec18

[ "BSD-3-Clause" ]

1

2018-12-01T19:11:49.000Z

import sys import os.path import pprint sys.path.append(os.path.abspath(__file__ + "\..\..")) import windows print("WMI requester is {0}".format(windows.system.wmi)) print("Selecting * from 'Win32_Process'") result = windows.system.wmi.select("Win32_Process") print("They are <{0}> processes".format(len(result))) pri...

36.8

98

0.660628

214

1,656

5.070093

0.359813

0.04977

0.03871

0.071889

0.04977

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0.022853

0.128019

1,656

44

99

37.636364

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false

0

0.121212

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0.121212

0.666667

0

null

0

null

0

1

0

1

ed9b02518328f3649735b397457fcd707b2a240e

92

py

Python

POP1/worksheets/two/ex15/code.py

silvafj/BBK-MSCCS-2017-18

d97b0f8e7434d19a1a4006989c32c4c1deb93842

[ "MIT" ]

1

2021-12-29T19:38:56.000Z

POP1/worksheets/two/ex15/code.py

silvafj/BBK-MSCCS-2017-18

d97b0f8e7434d19a1a4006989c32c4c1deb93842

[ "MIT" ]

null

POP1/worksheets/two/ex15/code.py

silvafj/BBK-MSCCS-2017-18

d97b0f8e7434d19a1a4006989c32c4c1deb93842

[ "MIT" ]

2

2021-04-08T22:58:03.000Z

2021-04-09T01:16:51.000Z

l = [int(e) for e in input().split()] for n in l: if l.count(n) == 1: print(n)

15.333333

37

0.478261

19

92

2.315789

0.631579

0

0.015873

0.315217

92

5

38

18.4

0.68254

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

ed9cb27df1647e3b076c465c218bb03a9d9b60ef

20,065

py

Python

source.py

Shailendram1990/COVID19_mobility

70dc3d05313b233229ea5f8d1c4c1b0dffe44e33

[ "MIT" ]

1

2020-07-21T16:11:51.000Z

source.py

Shailendram1990/COVID19_mobility

70dc3d05313b233229ea5f8d1c4c1b0dffe44e33

[ "MIT" ]

null

source.py

Shailendram1990/COVID19_mobility

70dc3d05313b233229ea5f8d1c4c1b0dffe44e33

[ "MIT" ]

null

""" This script loads Google and Apple Mobility reports, builds cleaned reports in different formats and builds merged files from both sources. Original data: - Google Community Mobility reports: https://www.google.com/covid19/mobility/ - Apple Mobility Trends reports: https://www.apple.com/covid19/mobili...

42.782516

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0.579018

2,303

20,065

4.854103

0.111594

0.023616

0.02952

0.011629

0.607747

0.541014

0.488147

0.41086

0.380267

0.312819

0

0.002805

0.306952

20,065

468

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42.873932

0.801093

0.170596

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0.003155

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0.048013

0

1

0.031546

false

0

0.028391

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0.088328

0.025237

0

null

0

null

0

1

0

ed9e27a1dfc15a74b30acc3524b9b0e30df90f89

4,975

py

Python

racing_data/performance_list.py

predictive-punter/racing_data

0d1b0ad0fe7591ce859d528af719349c0c7534d3

[ "MIT" ]

15

2017-04-08T05:22:49.000Z

2021-04-20T17:33:22.000Z

racing_data/performance_list.py

phillc73/racing_data

0d1b0ad0fe7591ce859d528af719349c0c7534d3

[ "MIT" ]

54

2016-07-21T10:35:45.000Z

2016-07-30T23:06:50.000Z

racing_data/performance_list.py

phillc73/racing_data

0d1b0ad0fe7591ce859d528af719349c0c7534d3

[ "MIT" ]

7

2016-12-15T06:02:54.000Z

2020-04-20T15:32:55.000Z

class PerformanceList(list): """A performance list provides statistical analysis functionality for a list of performances""" @property def earnings(self): """Return the total prize money for the performances in this list""" prize_monies = [performance['prize_money'] for performance in self...

34.79021

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0.665126

627

4,975

5.204147

0.141946

0.033098

0.052099

0.101134

0.532026

0.456635

0.317806

0.257125

0.238124

0.162734

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0.00509

0.249648

4,975

142

157

35.035211

0.869006

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0.032382

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1

0.246753

false

0

0.532468

0

null

0

null

0

1

0

1

ed9eb4ccb84e2b5861f5d2fd5428fb0fde542ab3

343

py

Python

Leetcode/72. Edit Distance/solution2.py

asanoviskhak/Outtalent

c500e8ad498f76d57eb87a9776a04af7bdda913d

[ "MIT" ]

51

2020-07-12T21:27:47.000Z

2022-02-11T19:25:36.000Z

Leetcode/72. Edit Distance/solution2.py

CrazySquirrel/Outtalent

8a10b23335d8e9f080e5c39715b38bcc2916ff00

[ "MIT" ]

null

Leetcode/72. Edit Distance/solution2.py

CrazySquirrel/Outtalent

8a10b23335d8e9f080e5c39715b38bcc2916ff00

[ "MIT" ]

32

2020-07-27T13:54:24.000Z

2021-12-25T18:12:50.000Z

class Solution: def minDistance(self, word1: str, word2: str) -> int: @lru_cache(None) def dp(i, j): if i < 0 or j < 0: return max(i, j) + 1 return dp(i - 1, j - 1) if word1[i] == word2[j] else min(dp(i - 1, j), dp(i - 1, j - 1), dp(i, j - 1)) + 1 return dp(len(word1...

38.111111

118

0.483965

63

343

2.619048

0.380952

0.090909

0.072727

0.090909

0.072727

0

0.078947

0.335277

343

8

119

42.875

0.644737

0

1

0.285714

false

0

0.714286

0

null

0

1

0

null

0

1

0

1

0

3

eda08d58045fdf93c52e02e54d88ae92b393de36

2,130

py

Python

cogs/lyrics.py

minihut/leafy-bot

b9c12b18f8a6ba8409ced5fe352421623bbffcee

[ "MIT" ]

12

2021-01-19T05:47:03.000Z

2022-01-14T12:51:33.000Z

cogs/lyrics.py

minihut/leafy-bot

b9c12b18f8a6ba8409ced5fe352421623bbffcee

[ "MIT" ]

1

2021-02-22T12:08:10.000Z

cogs/lyrics.py

minihut/leafy-bot

b9c12b18f8a6ba8409ced5fe352421623bbffcee

[ "MIT" ]

12

2021-01-17T07:31:34.000Z

2021-05-17T14:01:07.000Z

import discord import requests from discord.ext import commands from discord.ext.commands import BucketType, cooldown class Lyrics(commands.Cog): def __init__(self, client): self.client = client @commands.Cog.listener() async def on_ready(self): print("Lyrics cog loaded successfully") ...

31.323529

88

0.528638

239

2,130

4.619247

0.456067

0.021739

0.035326

0.046196

0.048913

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0.01685

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2,130

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89

31.791045

0.791941

0.02723

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0.04

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0.003865

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0.24

0.04

0

null

0

null

0

1

0

eda1be23822efe6556205accc545c9d894a8431d

2,761

py

Python

model_train.py

Sanatramesh/PCamNet

7238a87584ffec26336ae2034ec5723d8a035dca

[ "BSD-3-Clause" ]

null

model_train.py

Sanatramesh/PCamNet

7238a87584ffec26336ae2034ec5723d8a035dca

[ "BSD-3-Clause" ]

null

model_train.py

Sanatramesh/PCamNet

7238a87584ffec26336ae2034ec5723d8a035dca

[ "BSD-3-Clause" ]

null

import time import pickle import numpy as np from copy import deepcopy class ModelTraining: def __init__(self, model, data_loader, batch_size = 10, epochs = 20, model_ckpt_file = 'model/PCamNet'): self.model = model self.data_loader = data_loader # List of tuple: (left_cam, right_cam, disp_map) fi...

37.821918

108

0.561391

321

2,761

4.582555

0.277259

0.079538

0.053025

0.046227

0

0.019189

0.33937

2,761

72

109

38.347222

0.787281

0.094893

0

0.039216

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0.080994

0

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0

0.078431

0.019608

0.215686

0.156863

0

null

0

null

0

1

0

eda283b01e0b59cd7f31f32beaffd18135370de1

695

py

Python

generatemusic/generate_waveforms.py

WiktorSa/Music-Generation-with-LSTM-and-.wav-files

37b713b5e6193788a7710cc0fac4134efb74fa62

[ "MIT" ]

1

2022-03-09T20:13:57.000Z

generatemusic/generate_waveforms.py

WiktorSa/Music-Generation-with-LSTM-and-.wav-files

37b713b5e6193788a7710cc0fac4134efb74fa62

[ "MIT" ]

1

2021-10-01T16:20:06.000Z

2021-10-01T17:25:30.000Z

generatemusic/generate_waveforms.py

WiktorSa/Music-Generation-with-LSTM-and-.wav-files

37b713b5e6193788a7710cc0fac4134efb74fa62

[ "MIT" ]

null

import numpy as np from scipy.fft import ifft def generate_waveforms(data: np.ndarray) -> np.ndarray: """ Generate waveforms from frequency domains :param data: frequency domains (where first n/2 examples consist of real values and the rest consists of imaginary values) :return: numpy array conta...

26.730769

105

0.722302

93

695

5.258065

0.483871

0.114519

0.07362

0.09816

0

0.010733

0.195683

695

25

106

27.8

0.864043

0.303597

0

1

0

0.015351

0

1

0.090909

false

0

0.181818

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0.363636

0

null

0

1

0

null

0

1

eda47ef3a198b2afd2d1ca2fa747773c857b5cf8

3,745

py

Python

aiohttp_pydantic/oas/docstring_parser.py

HerrMuellerluedenscheid/aiohttp-pydantic

87b4487cc46213a3248807825e2e3e71413fa543

[ "MIT" ]

42

2020-11-18T16:14:45.000Z

2022-03-21T09:18:48.000Z

aiohttp_pydantic/oas/docstring_parser.py

HerrMuellerluedenscheid/aiohttp-pydantic

87b4487cc46213a3248807825e2e3e71413fa543

[ "MIT" ]

26

2020-11-15T08:27:09.000Z

2022-03-04T15:26:20.000Z

aiohttp_pydantic/oas/docstring_parser.py

HerrMuellerluedenscheid/aiohttp-pydantic

87b4487cc46213a3248807825e2e3e71413fa543

[ "MIT" ]

11

2020-11-24T22:13:35.000Z

2021-10-02T19:56:26.000Z

""" Utility to extract extra OAS description from docstring. """ import re import textwrap from typing import Dict, List class LinesIterator: def __init__(self, lines: str): self._lines = lines.splitlines() self._i = -1 def next_line(self) -> str: if self._i == len(self._lines) - 1: ...

27.335766

87

0.558344

442

3,745

4.58371

0.223982

0.017275

0.011846

0.031589

0.333169

0.307009

0.2769

0.217177

0.172754

0

0.004673

0.314286

3,745

136

88

27.536765

0.784268

0.125234

0

0.387097

0

0.053605

0.036677

0

1

0.107527

false

0.010753

0.032258

0.021505

0.311828

0

null

0

null

0

1

0

eda6101f4f3ce0ae4b05b44676ba1870709c8953

802

py

Python

ExerciciosPYTHON/PythonCeV/073.py

Samuel-Melo890/Python-Desafios

2abc7734d6a6c1f5ab67421f792d6889d93bac94

[ "MIT" ]

null

ExerciciosPYTHON/PythonCeV/073.py

Samuel-Melo890/Python-Desafios

2abc7734d6a6c1f5ab67421f792d6889d93bac94

[ "MIT" ]

2

2022-03-18T16:06:07.000Z

2022-03-18T16:55:29.000Z

ExerciciosPYTHON/PythonCeV/073.py

Samuel-Melo890/Python-Desafios

2abc7734d6a6c1f5ab67421f792d6889d93bac94

[ "MIT" ]

null

print('='*8,'Tuplas com Times de Futebol','='*8) cf = ('Palmeiras', 'Santos', 'Vasco da Gama', 'Grêmio', 'Flamengo', 'Corinthians', 'Internacional', 'Cruzeiro', 'São Paulo', 'Atlético Mineiro', 'Botafogo', 'Fluminense', 'Coritiba', 'Bahia', 'Goiás', 'Guarani', 'Sport', 'Portuguesa', 'Atlético Paranaense', 'Vitória') pr...

53.466667

268

0.660848

113

802

4.690265

0.60177

0.079245

0.113208

0.122642

0.171698

0.083019

0

0.025751

0.128429

802

14

269

57.285714

0.732475

0

0.428571

0

0.674564

0

1

0

false

0

0.928571

0

null

0

1

0

null

0

1

0

2

eda7e04ad9c248cbb73643c80f0b53fa4f66d240

527

py

Python

setup.py

dcrowe/sdk-python

f8f069725a7beda67cb25f94425972913b08373e

[ "Apache-2.0" ]

null

setup.py

dcrowe/sdk-python

f8f069725a7beda67cb25f94425972913b08373e

[ "Apache-2.0" ]

null

setup.py

dcrowe/sdk-python

f8f069725a7beda67cb25f94425972913b08373e

[ "Apache-2.0" ]

null

from setuptools import setup setup( name='visual_regression_tracker', version='4.0.0', description='Open source, self hosted solution for visual testing ' 'and managing results of visual testing.', long_description=open('README.md').read(), long_description_content_type='text/markdo...

31

71

0.685009

59

527

5.983051

0.694915

0.181303

0.260623

0

0.006961

0.182163

527

16

72

32.9375

0.812065

0

0.480076

0.142315

0

1

0

true

0

0.066667

0

0.066667

0

null

0

1

0

null

0

1

0

2

eda7fe44739cb06874629ff7fa3f82ea841088f1

423

py

Python

World 1/Exercise 31.py

NikiReis/Python--Exercises

2f50a3cd6900cec024edcf1a812d1cd86afcdea1

[ "MIT" ]

null

World 1/Exercise 31.py

NikiReis/Python--Exercises

2f50a3cd6900cec024edcf1a812d1cd86afcdea1

[ "MIT" ]

null

World 1/Exercise 31.py

NikiReis/Python--Exercises

2f50a3cd6900cec024edcf1a812d1cd86afcdea1

[ "MIT" ]

null

print("-"*14) print("Km's Calculation") print("-"*14) kms = int(input("How many kilometers did you drive ? ")) if kms<=200: price = kms*0.50 print("Price to be paied out equivalent\nto quantity of the kilometers that you have driven: R$ {}".format(price)) else: price = kms*0.45 print("Price...

35.25

119

0.661939

67

423

4.179104

0.522388

0.05

0.064286

0.1

0.621429

0

0.038235

0.196217

423

12

120

35.25

0.785294

0

0.2

0

0.57385

0

1

0

false

0

0.5

0

null

0

1

0

null

0

1

0

2

eda80428d8aaafe609a0be6935df873454da8b92

10,224

py

Python

tests/test_objects.py

kipyin/phanpy

f66fb1b181aeec6183bb03bd748e6ed535496a54

[ "MIT" ]

null

tests/test_objects.py

kipyin/phanpy

f66fb1b181aeec6183bb03bd748e6ed535496a54

[ "MIT" ]

null

tests/test_objects.py

kipyin/phanpy

f66fb1b181aeec6183bb03bd748e6ed535496a54

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import pytest import os, sys file_path = os.path.dirname(os.path.abspath(__file__)) root_path = file_path.replace('/phanpy/tests', '') sys.path.append(root_path) if root_path not in sys.path else None import numpy as np from phanpy.core.objects import Status, Item, Move...

33.742574

83

0.624902

1,306

10,224

4.698315

0.196784

0.049055

0.047099

0.080346

0.416069

0.297099

0.204368

0.169492

0.135593

0.123207

0

0.033847

0.257336

10,224

302

84

33.854305

0.774266

0.032179

0

0.253219

0

0.041257

0

0.334764

1

0.193133

false

0

0.017167

0

0.23176

0

null

0

null

0

1

0

eda9ec61c9c268e74679c06d29ce37757b47bb1d

5,743

py

Python

Modules/Dependency/Metadata_Interpreter.py

dobedobedo/Parrot_Sequoia_Image_Handler

e8d44d88006cf1f4e597aac1523c6f4458534e5b

[ "MIT" ]

6

2018-06-27T10:13:29.000Z

2020-05-11T03:00:10.000Z

Modules/Dependency/Metadata_Interpreter.py

dobedobedo/Parrot_Sequoia_Image_Handler

e8d44d88006cf1f4e597aac1523c6f4458534e5b

[ "MIT" ]

null

Modules/Dependency/Metadata_Interpreter.py

dobedobedo/Parrot_Sequoia_Image_Handler

e8d44d88006cf1f4e597aac1523c6f4458534e5b

[ "MIT" ]

3

2017-09-25T12:46:38.000Z

2021-06-15T15:57:50.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jun 23 16:08:19 2017 @author: uqytu1 """ import math import numpy as np import urllib.request import json import base64 import struct import datetime import pytz def GetLonLat(Metadata): Position = Metadata['GPSPosition'].split(',') Latitude = ...

34.596386

97

0.632596

661

5,743

5.449319

0.323752

0.029983

0.016657

0.02332

0.114381

0.078845

0.042199

0

0.024803

0.227756

5,743

166

98

34.596386

0.787373

0.072262

0

0.046875

0

0.081686

0.019763

0

0.007813

1

0.132813

false

0

0.0625

0.03125

0.328125

0

null

0

null

0

1

0

edabc77fd3da28138cd10a06ef81ba6b153764ea

453

py

Python

lectures/5_Image_Analysis/combine_color_image.py

jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing

e4b831460bddd34e7ad1d8888327c8d85b80e35e

[ "BSD-3-Clause" ]

1

2021-11-10T15:34:37.000Z

lectures/5_Image_Analysis/combine_color_image.py

jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing

e4b831460bddd34e7ad1d8888327c8d85b80e35e

[ "BSD-3-Clause" ]

null

lectures/5_Image_Analysis/combine_color_image.py

jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing

e4b831460bddd34e7ad1d8888327c8d85b80e35e

[ "BSD-3-Clause" ]

3

2020-08-06T15:11:50.000Z

2022-01-05T20:21:09.000Z

from skimage import draw red = np.zeros((300, 300)) green = np.zeros((300, 300)) blue = np.zeros((300, 300)) r, c = draw.circle(100, 100, 100) red[r, c] = 1 r, c = draw.circle(100, 200, 100) green[r, c] = 1 r, c = draw.circle(200, 150, 100) blue[r, c] = 1 f, axes = plt.subplots(1, 3) for (ax, channel) in zip(axes...

19.695652

51

0.600442

84

453

3.238095

0.404762

0.044118

0.110294

0.143382

0.176471

0.110294

0

0.138587

0.187638

453

22

52

20.590909

0.600543

0

0.015487

0

1

0

false

0

0.066667

0

0.066667

0

null

0

null

0

1

0

edb02ecbb069aa18674ef4e8555933c211f6074c

1,398

py

Python

chapters/chapter_3/NN_yelp/main.py

Penguin-Run/PyTorchBook

a310246ffed33d53a70cd7f2fd971f1626dcbebf

[ "Apache-2.0" ]

null

chapters/chapter_3/NN_yelp/main.py

Penguin-Run/PyTorchBook

a310246ffed33d53a70cd7f2fd971f1626dcbebf

[ "Apache-2.0" ]

null

chapters/chapter_3/NN_yelp/main.py

Penguin-Run/PyTorchBook

a310246ffed33d53a70cd7f2fd971f1626dcbebf

[ "Apache-2.0" ]

null

from .training.ReviewClassifier import ReviewClassifier from .data_managing.Dataset import ReviewDataset from .training.hyperparameters import args from .testing import compute_loss_acc as loss_acc from .testing import predict_rating as predict from .testing import analizing as analyze if __name__ == '__main__': ...

41.117647

100

0.724607

158

1,398

6.170886

0.424051

0.051282

0.052308

0.045128

0.110769

0

0.001803

0.206724

1,398

33

101

42.363636

0.877367

0.098712

0

0.083732

0

1

0

false

0

0.26087

0

0.26087

0.130435

0

null

0

null

0

1

0

edb0ab27e8375216bb7fe46df1fbcdeb336314c4

6,573

py

Python

setup.py

hpleva/ai4materials

5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2

[ "Apache-2.0" ]

null

setup.py

hpleva/ai4materials

5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2

[ "Apache-2.0" ]

null

setup.py

hpleva/ai4materials

5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2

[ "Apache-2.0" ]

null

from setuptools import setup, find_packages, Extension # To use a consistent encoding from codecs import open # Other stuff import sys, os, fileinput import versioneer here = os.path.dirname(os.path.realpath(__file__)) def main(): # Start package setup # Get the long description from the README file wit...

42.681818

126

0.597596

764

6,573

5.068063

0.434555

0.015496

0.014463

0.020145

0.043388

0.035641

0.018079

0

0.026536

0.27187

6,573

153

127

42.960784

0.782491

0.499772

0

0.387539

0.097508

0

1

0.020408

false

0

0.081633

0

0.102041

0

null

0

null

0

1

0

edb1c338921c46604a227fc5ad3a3537657d82d7

1,074

py

Python

zeekofile/_controllers/blog/permapage.py

cdarlint/zeekofile

e5c999f0adfa1837c255b856eb030fb6838b0ea1

[ "MIT" ]

1

2022-02-20T08:02:00.000Z

zeekofile/_controllers/blog/permapage.py

cdarlint/zeekofile

e5c999f0adfa1837c255b856eb030fb6838b0ea1

[ "MIT" ]

1

2021-07-23T19:45:58.000Z

zeekofile/_controllers/blog/permapage.py

cdarlint/zeekofile

e5c999f0adfa1837c255b856eb030fb6838b0ea1

[ "MIT" ]

null

from zeekofile.cache import zf import re blog = zf.config.controllers.blog def run(): write_permapages() def write_permapages(): "Write blog posts to their permalink locations" site_re = re.compile(zf.config.site.url, re.IGNORECASE) num_posts = len(blog.posts) for i, post in enumerate(blog.pos...

28.263158

83

0.587523

138

1,074

4.5

0.471014

0.086957

0.045089

0.048309

0

0.007916

0.294227

1,074

37

84

29.027027

0.811346

0.13594

0

0.16358

0

1

0.076923

false

0

0.076923

0

0.153846

0

null

0

null

0

1

0

edb1f4bb4d10e992c753da4af6fcdd517e93ba5c

132

py

Python

fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py

kbcvcbk/cesar-school

b857ac651175bd08551303a7e82d16c4a9f621d8

[ "MIT" ]

2

2020-05-14T00:29:38.000Z

2022-03-08T23:28:02.000Z

fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py

kbcvcbk/cesar-school

b857ac651175bd08551303a7e82d16c4a9f621d8

[ "MIT" ]

1

2022-03-02T11:26:37.000Z

fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py

kbcvcbk/cesar-school

b857ac651175bd08551303a7e82d16c4a9f621d8

[ "MIT" ]

2

2020-11-03T09:36:27.000Z

2022-03-08T23:28:14.000Z

n = float(input("Digite o número: ")) b=2 dif=3.14 while dif >= 0.0001: p=(b+(n/b))/2 print("p é",p) b=p pq = p*p dif=abs(n-pq)

14.666667

37

0.55303

33

132

2.212121

0.575758

0.054795

0

0.092593

0.181818

132

9

38

14.666667

0.583333

0

0.150376

0

1

0

false

0

0.111111

0

null

0

1

0

null

0

1

edb20a4ffd43e59eea413125e997615b1fde62fd

2,045

py

Python

app.py

ZAD4YTV/extract-wifi-passwords-from-windows

89c8bec9861876e82fb5262540f53434b3f5fe1f

[ "MIT" ]

2

2020-12-22T06:05:06.000Z

2020-12-22T06:05:09.000Z

app.py

ZAD4YTV/extract-wifi-passwords-from-windows

89c8bec9861876e82fb5262540f53434b3f5fe1f

[ "MIT" ]

null

app.py

ZAD4YTV/extract-wifi-passwords-from-windows

89c8bec9861876e82fb5262540f53434b3f5fe1f

[ "MIT" ]

null

# Requirements import subprocess # Console print initial print('######################################################################') print('') print('######## ## ## ######## ### ######## ## ## ##') print('## ## ## ## ## ## ## ## ## ## ## ## ##') print('## ...

41.734694

166

0.446944

187

2,045

4.877005

0.465241

0.175439

0.197368

0.219298

0.320175

0.184211

0.157895

0.065789

0

0.007509

0.218582

2,045

48

167

42.604167

0.563204

0.024939

0

0.358974

0

0.025641

0.647059

0.105581

0

1

0

false

0.153846

0.025641

0

0.025641

0.794872

0

null

0

1

0

1

0

null

0

1

0

1

0

5

edb23193c334891acc883361c3d8e788e913535e

633

py

Python

src/main/resources/opennlp.models/download_models.py

sully90/dp-search-service

efc6a94dad1c5b3fc898da9ced1606aa345c7ecd

[ "MIT" ]

null

src/main/resources/opennlp.models/download_models.py

sully90/dp-search-service

efc6a94dad1c5b3fc898da9ced1606aa345c7ecd

[ "MIT" ]

null

src/main/resources/opennlp.models/download_models.py

sully90/dp-search-service

efc6a94dad1c5b3fc898da9ced1606aa345c7ecd

[ "MIT" ]

null

#!/usr/bin/python import os def download_model(model_name): ''' Downloads a given model binary ''' print "Downloading ", model_name cmd = "wget http://opennlp.sourceforge.net/models-1.5/%s" % model_name os.system(cmd) if __name__ == "__main__": model_names = ["en-ner-dates.bin", "en-ner-l...

30.142857

102

0.630332

92

633

4.141304

0.5

0.104987

0.125984

0.115486

0

0.003922

0.194313

633

20

103

31.65

0.743137

0.025276

0

0.394737

0.077193

0

null

0

0.083333

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null

0

null

0

1

0

1

edb2a9429239ad3822ac8af03b000d236f86beda

31,643

py

Python

python/nsc/nsc_instcal_sexdaophot.py

dnidever/noaosourcecatalog

bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb

[ "MIT" ]

4

2017-05-23T20:57:33.000Z

2018-01-30T22:51:42.000Z

python/nsc/nsc_instcal_sexdaophot.py

dnidever/noaosourcecatalog

bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb

[ "MIT" ]

null

python/nsc/nsc_instcal_sexdaophot.py

dnidever/noaosourcecatalog

bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb

[ "MIT" ]

1

2021-07-15T03:06:22.000Z

#!/usr/bin/env python # # NSC_INSTCAL_SEXDAOPHOT.PY -- Run SExtractor and DAOPHOT on an exposure # from __future__ import print_function __authors__ = 'David Nidever <dnidever@noao.edu>' __version__ = '20180819' # yyyymmdd import os import sys import numpy as np import warnings from astropy.io import fits from astr...

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edb611f60f037176678c93c92c782533ab009fd9

165

py

Python

analysis/const.py

AgenttiX/pap328-project

0bb2b9dc3a63bcae5d6ae47aa48edb655763157e

[ "MIT" ]

null

analysis/const.py

AgenttiX/pap328-project

0bb2b9dc3a63bcae5d6ae47aa48edb655763157e

[ "MIT" ]

null

analysis/const.py

AgenttiX/pap328-project

0bb2b9dc3a63bcae5d6ae47aa48edb655763157e

[ "MIT" ]

null

import math # Constants ELEMENTARY_CHARGE = 1.602176634e-19 # Coulombs # Conversions ATM_TO_PA = 101325 MBAR_TO_PA = 100 STD_TO_FWHM = 2*math.sqrt(2*math.log(2))

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null

0

2

edb648c98f0f42744495f4d789c1cca05e6c4704

486

py

Python

dhnx/helpers.py

rbv83/DHNx

e236d720c7ec3c0f400648b96141454557d35476

[ "MIT" ]

14

2020-06-25T14:03:21.000Z

2021-11-25T12:53:08.000Z

dhnx/helpers.py

rbv83/DHNx

e236d720c7ec3c0f400648b96141454557d35476

[ "MIT" ]

51

2020-02-19T14:42:38.000Z

2022-03-23T08:30:31.000Z

dhnx/helpers.py

oemof-heat/district_heating_simulation

edb5c9be17f74d7f200c1eb6a17000a26633bdc3

[ "MIT" ]

3

2020-10-23T15:54:11.000Z

2022-02-28T12:53:09.000Z

import addict class Dict(addict.Dict): def __init__(self, *args, **kwargs): super().__init__(self, *args, **kwargs) def __repr__(self): overview = ['* ' + str(key) for key, value in self.items()] return '\n'.join(overview) def sum_ignore_none(*items): not_none = [value for value...

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0

null

0

null

0

1

0

1

edb79f71230ac5a199560bfdb6dae152e1a5031d

1,007

py

Python

angr-doc/examples/defcon2017quals_crackme2000/enlightenment/classify.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

null

angr-doc/examples/defcon2017quals_crackme2000/enlightenment/classify.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

null

angr-doc/examples/defcon2017quals_crackme2000/enlightenment/classify.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

null

import subprocess from glob import glob import re from collections import defaultdict import shutil import os import hashlib files = glob('enlightenment_dist/*') libraries = defaultdict(list) ldds = {} for f in files: try: ldd_out = subprocess.check_output(['ldd', f]) except subprocess.CalledProcessEr...

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null

0

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0

1

0

2

edb8c9e216e31864005a5218bc360deec4e30ce5

270

py

Python

update-readme.py

jutge-org/j3-logos

f47dfc84e8a2a9f987fdb22c432b6a52893fe294

[ "Apache-2.0" ]

1

2020-12-29T12:19:23.000Z

update-readme.py

jutge-org/j3-logos

f47dfc84e8a2a9f987fdb22c432b6a52893fe294

[ "Apache-2.0" ]

null

update-readme.py

jutge-org/j3-logos

f47dfc84e8a2a9f987fdb22c432b6a52893fe294

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import glob text = ''' # Logos for Jutge.org ''' for png in sorted(glob.glob('*.png')): text += '''- %s\n\n <a href='%s'><img src='%s' height='200'></a>\n\n''' % (png, png, png) with open('README.md', 'w') as file: file.write(text)

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null

0

null

0

1

0

edb9060cb2e91122e01e0d89597323dc92dbbaa6

14,950

py

Python

adpkd_segmentation/datasets/datasets.py

kurtteichman/adpkd-segmentation-pytorch

20faedfd77aaa26cadfbe636092db3da0f257940

[ "MIT" ]

5

2021-07-09T16:10:56.000Z

2022-03-23T10:22:16.000Z

adpkd_segmentation/datasets/datasets.py

kurtteichman/adpkd-segmentation-pytorch

20faedfd77aaa26cadfbe636092db3da0f257940

[ "MIT" ]

3

2021-06-23T02:47:42.000Z

2022-02-04T22:43:27.000Z

adpkd_segmentation/datasets/datasets.py

aksg87/adpkd-segmentation-pytorch

9a22e06ab905bca456c978f3b40ea427499ccf7d

[ "MIT" ]

2

2021-06-05T22:19:29.000Z

2022-03-13T20:50:13.000Z

import json import numpy as np import torch from pathlib import Path import pandas as pd import pydicom from ast import literal_eval from adpkd_segmentation.data.data_utils import ( get_labeled, get_y_Path, int16_to_uint8, make_dcmdicts, path_2dcm_int16, path_2label, TKV_update, ) from adp...

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0

null

0

1

0

edb92c5fd296cb3e07169dc79510c1f1c49d8cee

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py

Python

sktime/utils/validation.py

TonyBagnall/sktime

837a77026be3e53511c3d6139ddad14a39351bf5

[ "BSD-3-Clause" ]

2

2019-08-19T13:59:21.000Z

2020-03-02T20:32:31.000Z

sktime/utils/validation.py

TonyBagnall/boss_fork

837a77026be3e53511c3d6139ddad14a39351bf5

[ "BSD-3-Clause" ]

null

sktime/utils/validation.py

TonyBagnall/boss_fork

837a77026be3e53511c3d6139ddad14a39351bf5

[ "BSD-3-Clause" ]

2

2019-08-24T12:06:15.000Z

2020-01-09T07:32:40.000Z

import numpy as np def check_ts_X_y(X, y): """Placeholder function for input validation. """ # TODO: add proper checks (e.g. check if input stuff is pandas full of objects) # currently it checks neither the data nor the datatype # return check_X_y(X, y, dtype=None, ensure_2d=False) return X, y ...

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null

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1

edb94af127b7b6cb84e9109091abb7f212cbe179

947

py

Python

main.py

Arcxdd/Kali-Docker

a59bfdc24dde3e8105762c6e44bd5a6115afd44d

[ "Unlicense" ]

null

main.py

Arcxdd/Kali-Docker

a59bfdc24dde3e8105762c6e44bd5a6115afd44d

[ "Unlicense" ]

null

main.py

Arcxdd/Kali-Docker

a59bfdc24dde3e8105762c6e44bd5a6115afd44d

[ "Unlicense" ]

null

import os import sys from halo import Halo spinner = Halo(text='Please wait...', spinner='dots') def main(): """Main program""" portsToExpose = str(input('Ports to expose [Default: 22 for SSH]: ')) print("Installing...\n") spinner.start() os.system("docker pull kalilinux/kali-ro...

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null

0

null

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edb94d210e20eefd62f4198317637767af846a19

324

py

Python

mysite/migrations/0003_remove_blog_image.py

roku104/mysite

774c55751ac6f29c1fb07c4da72a5894c5cbaf19

[ "MIT" ]

1

2018-11-21T02:14:32.000Z

mysite/migrations/0003_remove_blog_image.py

roku104/mysite

774c55751ac6f29c1fb07c4da72a5894c5cbaf19

[ "MIT" ]

null

mysite/migrations/0003_remove_blog_image.py

roku104/mysite

774c55751ac6f29c1fb07c4da72a5894c5cbaf19

[ "MIT" ]

null

# Generated by Django 2.1.1 on 2018-09-26 15:25 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('mysite', '0002_auto_20180912_1246'), ] operations = [ migrations.RemoveField( model_name='blog', name='image', ), ...

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17

48

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0

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0

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1

0

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0

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0.363636

0

null

0

1

0

null

0

1

edb9a342dd84b94be341c6a7b6d981951da4877d

1,098

py

Python

.vscode/compilers/pycompile.py

croghostrider/Loxone-Recovery

cb47a6fd8a685e5995f11e61f3a6e0126fb19828

[ "MIT" ]

1

2022-03-20T22:27:45.000Z

.vscode/compilers/pycompile.py

croghostrider/Loxone-Recovery

cb47a6fd8a685e5995f11e61f3a6e0126fb19828

[ "MIT" ]

null

.vscode/compilers/pycompile.py

croghostrider/Loxone-Recovery

cb47a6fd8a685e5995f11e61f3a6e0126fb19828

[ "MIT" ]

null

#!/usr/bin/env python3 import os import shutil import subprocess import sys # ARGS fileDirname = sys.argv[1] fileBasename = sys.argv[2] workspaceFolder = sys.argv[3] # TRANSFORMATION relativeFileDirname = fileDirname[len(workspaceFolder)+1:] fileBasenameNoExtension = "".join(fileBasename.rsplit(".py", 1)) distpath =...

23.361702

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6.166667

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0

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0.212204

1,098

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0

0.2

0

null

0

null

0

1

0

edba4dad99f149168f42524be29efbe1763f78a1

1,430

py

Python

white-head-mountain/pcdn/mainpcdn.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

white-head-mountain/pcdn/mainpcdn.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

white-head-mountain/pcdn/mainpcdn.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

from hostNameHandle import hostNameHandle from gethostList import get_ips from getwechat import getProxyInfo from gethostNameIp import getIps from getFrequency import getFrequency from getDownloadAccount import getInfo from sendMessage import sendMessage hostName=input("主机名:") type = str(input("1 \"频繁掉线\" or ...

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0.263158

0.078947

0

null

0

null

0

1

0

edbce3d11b39d90338cc61b5efce850628014657

2,041

py

Python

automol/reac/_instab.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

2

2021-03-01T14:23:25.000Z

2021-11-28T19:17:08.000Z

automol/reac/_instab.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

1

2021-02-12T21:02:22.000Z

2021-02-12T21:35:33.000Z

automol/reac/_instab.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

6

2020-12-12T18:41:13.000Z

2021-11-11T20:12:14.000Z

""" Build unstable products """ from phydat import instab_fgrps import automol.graph from automol.reac._util import rxn_objs_from_zmatrix import automol.geom import automol.inchi import automol.zmat from automol.graph import radical_dissociation_prods from automol.graph import radical_group_dct def instability_prod...

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0.35

0

null

0

null

0

1

0

edbd959971b7596053c1f7e7cd04ec63a9bfa159

74,910

py

Python

tests/examples/minlplib/portfol_classical050_1.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

2

2021-07-03T13:19:10.000Z

2022-02-06T10:48:13.000Z

tests/examples/minlplib/portfol_classical050_1.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

1

2021-07-04T14:52:14.000Z

2021-07-15T10:17:11.000Z

tests/examples/minlplib/portfol_classical050_1.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

null

# MINLP written by GAMS Convert at 04/21/18 13:53:48 # # Equation counts # Total E G L N X C B # 104 52 0 52 0 0 0 0 # # Variable counts # x b i s1s s2s sc ...

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0

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0

null

0

1

0

1

0

null

0

2

edbecb45eddc848fe9a6250e6a9425c696aee623

32

py

Python

vgc/DinosaursVsAirplanes/__main__.py

reedessick/video-game-camp

09a324279c5ea9de87080f122fe27e1ef83d5373

[ "MIT" ]

null

vgc/DinosaursVsAirplanes/__main__.py

reedessick/video-game-camp

09a324279c5ea9de87080f122fe27e1ef83d5373

[ "MIT" ]

null

vgc/DinosaursVsAirplanes/__main__.py

reedessick/video-game-camp

09a324279c5ea9de87080f122fe27e1ef83d5373

[ "MIT" ]

null

from . import game game.main()

8

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1

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null

0

1

0

1

0

5

edbecc8726126a9bb26d9234cf7d31303aa4e928

6,012

py

Python

tests/test_select.py

vail130/norm

01a16d6c73c2c6fff92430ca2ca745b295de9a3a

[ "MIT" ]

null

tests/test_select.py

vail130/norm

01a16d6c73c2c6fff92430ca2ca745b295de9a3a

[ "MIT" ]

1

2016-02-10T00:43:15.000Z

2016-02-10T01:14:37.000Z

tests/test_select.py

vail130/norm

01a16d6c73c2c6fff92430ca2ca745b295de9a3a

[ "MIT" ]

1

2021-03-12T23:21:02.000Z

from __future__ import absolute_import, unicode_literals import unittest from mason import Param, ANY, SELECT, COUNT, SUM, AND, OR, Table, NUMERIC, DATE, COALESCE, CASE class TheSelectClass(unittest.TestCase): def test_returns_string_for_select_query(self): purchases = Table('purchases') users =...

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null

0

null

0

1

0

edbf18d39a72d2ddd9cc6e7041f08d4b4cebe521

302

py

Python

DesignPatterns/05_iterator/1_no_iterator/department_collection.py

eduardormonteiro/PythonPersonalLibrary

561733bb8305c4e25a08f99c28b60ec77251ad67

[ "MIT" ]

null

DesignPatterns/05_iterator/1_no_iterator/department_collection.py

eduardormonteiro/PythonPersonalLibrary

561733bb8305c4e25a08f99c28b60ec77251ad67

[ "MIT" ]

null

DesignPatterns/05_iterator/1_no_iterator/department_collection.py

eduardormonteiro/PythonPersonalLibrary

561733bb8305c4e25a08f99c28b60ec77251ad67

[ "MIT" ]

null

class Departments(object): _departments = [] def add_department(self, department): self._departments.append(department) def get_department(self, i): return self._departments[i] @property def departments_range(self): return (0, len(self._departments) - 1)

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0

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edc2a9f255a5bcdbe6de9a345b01330bea716cf9

37,250

py

Python

gridwxcomp/calc_bias_ratios.py

DRI-WSWUP/grid-et-bias

91998b5827a8069563394b797b253e33c546765f

[ "Apache-2.0" ]

13

2019-04-02T20:21:34.000Z

2022-01-26T22:45:04.000Z

gridwxcomp/calc_bias_ratios.py

DRI-WSWUP/grid-et-bias

91998b5827a8069563394b797b253e33c546765f

[ "Apache-2.0" ]

20

2019-02-27T22:40:13.000Z

2021-05-28T03:06:48.000Z

gridwxcomp/calc_bias_ratios.py

DRI-WSWUP/gridwxcomp

91998b5827a8069563394b797b253e33c546765f

[ "Apache-2.0" ]

6

2019-04-02T17:28:31.000Z

2022-01-29T14:07:25.000Z

# -*- coding: utf-8 -*- """ Calculate monthly bias ratios of variables from climate station to overlapping gridMET (or other gridded dataset) cells. Input file for this module must first be created by running :mod:`gridwxcomp.prep_input` followed by :mod:`gridwxcomp.download_gridmet_opendap`. Attributes: GRID...

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37,250

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37,250

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null

0

null

0

1

0

edc2c76812ee6c9585f9c137bdb157a3d16545e9

5,073

py

Python

fhirclient/models/attachment.py

mdx-dev/client-py

f6c16c9bd386c5b05d69753b89c6519d568814ac

[ "Apache-2.0" ]

null

fhirclient/models/attachment.py

mdx-dev/client-py

f6c16c9bd386c5b05d69753b89c6519d568814ac

[ "Apache-2.0" ]

null

fhirclient/models/attachment.py

mdx-dev/client-py

f6c16c9bd386c5b05d69753b89c6519d568814ac

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 4.0.0-a53ec6ee1b (http://hl7.org/fhir/StructureDefinition/Attachment) on 2019-01-22. # 2019, SMART Health IT. from . import element class Attachment(element.Element): """ C o n t e n t i n a f ...

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null

0

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1

0

null

0

2

edc4f04d08129c6528ed7f0c20d812230e0c3895

1,843

py

Python

wiiload/upload.py

fossabot/async-wiiload

a511ffe5646c2bd101a9e0ae064f6b3d35497fd3

[ "Apache-2.0" ]

null

wiiload/upload.py

fossabot/async-wiiload

a511ffe5646c2bd101a9e0ae064f6b3d35497fd3

[ "Apache-2.0" ]

1

2020-11-18T18:38:49.000Z

wiiload/upload.py

fossabot/async-wiiload

a511ffe5646c2bd101a9e0ae064f6b3d35497fd3

[ "Apache-2.0" ]

1

2020-11-18T18:38:03.000Z

import asyncio import os import struct import zlib from os import PathLike from typing import List WIILOAD_VERSION_MAJOR = 0 WIILOAD_VERSION_MINOR = 5 async def upload_bytes(dol: bytes, argv: List[str], host: str, port: int = 4299): """ Uploads a file it to a Wii. :param dol: The bytes of a file to uploa...

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0.669018

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1,843

4.240418

0.351916

0.072309

0.069844

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0.36894

0.267872

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0

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0.214324

1,843

58

92

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0.233333

0

null

0

null

0

1

0

edc6534f0db68594afcf99358c2a9b3928d7a532

1,010

py

Python

81.py

brianfl/project-euler

9f83a3c2da04fd0801a4a575081add665edccd5f

[ "MIT" ]

null

81.py

brianfl/project-euler

9f83a3c2da04fd0801a4a575081add665edccd5f

[ "MIT" ]

null

81.py

brianfl/project-euler

9f83a3c2da04fd0801a4a575081add665edccd5f

[ "MIT" ]

null

with open('matrix.txt', 'r') as m: n = m.read().split('\n') matrix = [i.split(',') for i in n] del matrix[-1] for index1, value1 in enumerate(matrix): for index2, value2 in enumerate(value1): matrix[index1][index2] = int(value2) row_pos = len(matrix)-1 ind_pos = len(matrix[row_pos])-1 while r...

24.047619

71

0.582178

154

1,010

3.668831

0.396104

0.084956

0.106195

0.069027

0.178761

0.081416

0

0.055633

0.288119

1,010

42

72

24.047619

0.730181

0.005941

0

0.296296

0

0.01649

0

1

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false

0.074074

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0.037037

0

null

0

null

0

1

0

1

edc7c2097af55e9aaf7fe9d4a5593d76f55f2e37

899

py

Python

WDCData/StockPankouDay.py

wangdecheng/QAStrategy

d970242ea61cff2f1a6f69545dc7f65e8efd1672

[ "MIT" ]

null

WDCData/StockPankouDay.py

wangdecheng/QAStrategy

d970242ea61cff2f1a6f69545dc7f65e8efd1672

[ "MIT" ]

null

WDCData/StockPankouDay.py

wangdecheng/QAStrategy

d970242ea61cff2f1a6f69545dc7f65e8efd1672

[ "MIT" ]

null

import pandas as pd from QUANTAXIS.QAUtil import ( DATABASE ) _table = DATABASE.stock_pankou_day date = '2021-11-30' # 选最后一天，因为是批量插入，有值就证明存在 def exists(code, field='turn'): data = _table.find_one({'code':code,'date':date}) if data is None: return False if data.get(field) is None: retu...

24.972222

70

0.648498

117

899

4.735043

0.512821

0.032491

0.043321

0.061372

0

0.058239

0.216908

899

36

71

24.972222

0.728693

0.082314

0

0.071429

0

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0

1

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false

0

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0.357143

0.035714

0

null

0

null

0

1

0

edc8f195103066572e1257568eab242e02e23b02

1,472

py

Python

findance/entity/migrations/0001_initial.py

mccartnm/findance

5d8b980cbe3f0b3dbe5798a75f58b5749088331f

[ "MIT" ]

null

findance/entity/migrations/0001_initial.py

mccartnm/findance

5d8b980cbe3f0b3dbe5798a75f58b5749088331f

[ "MIT" ]

null

findance/entity/migrations/0001_initial.py

mccartnm/findance

5d8b980cbe3f0b3dbe5798a75f58b5749088331f

[ "MIT" ]

null

# Generated by Django 2.2 on 2019-04-26 15:52 from django.db import migrations, models import django.db.models.deletion import findance.abstract class Migration(migrations.Migration): initial = True dependencies = [ ('assets', '0001_initial'), ] operations = [ migrations.CreateMode...

35.047619

158

0.559103

132

1,472

6.166667

0.507576

0.09828

0.152334

0.054054

0.348894

0.275184

0

0.018217

0.29144

1,472

41

159

35.902439

0.762224

0.029212

0

0.470588

1

0

0.13595

0.014716

0

1

0

false

0

0.088235

0

0.205882

0

null

0

1

0

null

0

1

edc957ed816ee1c41b0420f5364024791ce07016

576

py

Python

Registradora/Caixa registradora.py

gabrielsoaresg/Projetos-Python

7f05a000c30a03fb9fbdb0f493e0a996ef7258f1

[ "MIT" ]

null

Registradora/Caixa registradora.py

gabrielsoaresg/Projetos-Python

7f05a000c30a03fb9fbdb0f493e0a996ef7258f1

[ "MIT" ]

null

Registradora/Caixa registradora.py

gabrielsoaresg/Projetos-Python

7f05a000c30a03fb9fbdb0f493e0a996ef7258f1

[ "MIT" ]

null

print("\033[1m=-=" * 15) print("\033[1;32mLojas Tabajara\033[m". center(51)) print("=-=\033[m" * 15) cont = 1 somaP = 0 while True: p = float(input(f"Produto {cont}: R$ ")) cont += 1 somaP += p if p == 0: break print(f"\033[1;32mTotal: R${somaP:.2f}\033[m") pagamento = float(input("\033[1mDinhei...

27.428571

58

0.597222

92

576

3.73913

0.358696

0.069767

0.052326

0.05814

0.215116

0

0.142251

0.182292

576

20

59

28.8

0.58811

0

0.1

0

0.375

0

1

0

false

0

0.3

0

null

0

null

0

1

0

edcad0e725dcaee58a1b72be7bb3b88e8f32af90

3,196

py

Python

webserver.py

Ductapemaster/raspi_datalogger

7c5b54a6a7617fef816aa1410069fb755f167d13

[ "MIT" ]

null

webserver.py

Ductapemaster/raspi_datalogger

7c5b54a6a7617fef816aa1410069fb755f167d13

[ "MIT" ]

null

webserver.py

Ductapemaster/raspi_datalogger

7c5b54a6a7617fef816aa1410069fb755f167d13

[ "MIT" ]

null

from flask import Flask, render_template, request from flask_bootstrap import Bootstrap import json from datetime import datetime from influxdb import InfluxDBClient import secrets import settings influx_client = InfluxDBClient(secrets.influx_database_server, secrets.influx_database_port...

31.333333

122

0.431164

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3,196

5.099617

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0.030053

0.031555

0.040571

0.061608

0

0.01464

0.444305

3,196

101

123

31.643564

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0

0.130735

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0

1

0.023256

false

0.011628

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0.011628

0.127907

0.023256

0

null

0

null

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1

0