seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24222566552 | from tkinter import*
from PIL import Image ,ImageTk
from tkinter import ttk
from tkinter import messagebox
import mysql.connector
import urllib.request
urllib.request.urlretrieve(
'https://iocl.com/images/indane_1.jpg',
"indane1.png")
urllib.request.urlretrieve(
'https://cdn5.newsnationtv.com/imag... | anonymouslyfadeditzme/Anonymously-Faded | booking.py | booking.py | py | 19,472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.request.urlretrieve",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_na... |
2398607314 | """
Makes a movie of the previously downloaded GEOS data
"""
import os
import pathlib
from typing import List, Tuple, Union
import numpy as np
import matplotlib.pyplot as plt
import DownloadData
import ReadNetCDF4
import VideoWriter
plt.style.use('myDarkStyle.mplstyle')
# ===========================... | dpilger26/GOES | scripts/MakeMovie.py | MakeMovie.py | py | 7,699 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
9754918030 | import click
import unittest
from click.testing import CliRunner
from doodledashboard.notifications import TextNotification
from parameterized import parameterized
from sketchingdev.console import ConsoleDisplay
from tests.sketchingdev.terminal.ascii_terminal import AsciiTerminal
class TestConsoleDisplayWithText(uni... | SketchingDev/Doodle-Dashboard-Display-Console | tests/sketchingdev/test_text_notification.py | test_text_notification.py | py | 1,699 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tests.sketchingdev.terminal.ascii_terminal.AsciiTerminal.extract_text",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "tests.sketchingdev.terminal.ascii_terminal.AsciiTerm... |
72623372987 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import mock
import unittest
from cloudshell.networking.brocade.cli.brocade_cli_handler import BrocadeCliHandler
from cloudshell.networking.brocade.runners.brocade_state_runner import BrocadeStateRunner
class TestBrocadeStateRunner(unittest.TestCase):
def setUp(self):
... | QualiSystems/cloudshell-networking-brocade | tests/networking/brocade/runners/test_brocade_state_runner.py | test_brocade_state_runner.py | py | 1,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "mock.MagicMock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",... |
3277704581 | import os
from playwright.sync_api import sync_playwright
key = "2731"
os.makedirs(f"res/{key}", exist_ok=True)
def main():
with sync_playwright() as p:
browser = p.chromium.launch(headless=False, slow_mo= 5000)
page = browser.new_page()
page.goto("https://mri.cts-mrp.eu/portal/details?pro... | ReCodeRa/MRI_02 | MRI/pw_down_sync_single_pdf.py | pw_down_sync_single_pdf.py | py | 1,397 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "playwright.sync_api.sync_playwright",
"line_number": 8,
"usage_type": "call"
}
] |
33706250276 | import sys
from PySide2.QtWidgets import QApplication, QMainWindow, QGroupBox, QRadioButton
aplicacao = QApplication(sys.argv)
janela = QMainWindow()
# setGeometry(esquerda, topo, largura, altura)
janela.setGeometry( 100, 50, 300, 200 )
janela.setWindowTitle("Primeira Janela")
# cria uma instancia de um grupo de sel... | leuribeiru/QtforPhyton | componentes_basicos/radio.py | radio.py | py | 865 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtWidgets.QMainWindow",
"line_number": 6,
"usage_type": "call"
},
{
"api_name"... |
22241072161 | import torch
import math
import torch.nn as nn
import torch.nn.functional as F
from typing import List
class Convolution(nn.Module):
def __init__(self, in_ch, out_ch):
super(Convolution, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(in_ch, out_ch, 3, 1, 1),
nn.Batch... | yezi-66/IFE | unet_github/lib/Network.py | Network.py | py | 7,331 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
8381595021 | from os import system
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import PolyCollection
from mpl_toolkits.axes_grid import make_axes_locatable
##############################################################################
# matplotlib configur... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/contributed/sumopy/agilepy/lib_misc/matplotlibtools.py | matplotlibtools.py | py | 1,749 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "matplotlib.rcParams.update",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.close",
"line_number": 36,
"usage_type": "call"
},
{
"api_n... |
31932908131 | from pyspark.ml.classification import NaiveBayes
from pyspark.ml.evaluation import MulticlassClassificationEvaluator
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
data = spark.read.format("libsvm").load("file:///usr/lib/spark/data/mllib/sample_... | geoffreylink/Projects | 07 Machine Learning/SparkML/sparkML_CL_naivebayes.py | sparkML_CL_naivebayes.py | py | 789 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 5,
"usage_type... |
9736948830 | import pickle
import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
from sklearn.metrics import f1_score, accuracy_score
from tensorflow import keras
import matplotlib.pyplot as plt
import tensorflow_addons as tfa
import health_doc
import matplotlib.pyplot as plt
impo... | Szu-Chi/NLP_Final_Hierarchical_Transfer_Learning | BERT_multi_student.py | BERT_multi_student.py | py | 4,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "imp.reload",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "health_doc.loading",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_num... |
13042124891 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 5 16:42:07 2018
@author: lud
"""
import matplotlib
#import matplotlib.pyplot as plt
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
# implement the default mpl key bindings
from matplotlib.backend_bases im... | stevenluda/cuboidPlotter | PlotCuboids.py | PlotCuboids.py | py | 4,848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_numbe... |
32713874308 | import scrapy
class KistaSpider(scrapy.Spider):
name = "kista"
def start_requests(self):
urls = ['https://www.hemnet.se/bostader?location_ids%5B%5D=473377&item_types%5B%5D=bostadsratt',
]
for url in urls:
yield scrapy.Request(url=url, callback=self.parse)
def parse(se... | theone4ever/hemnet | hemnet/spiders/kista_bostadsratt_spider.py | kista_bostadsratt_spider.py | py | 547 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 11,
"usage_type": "call"
}
] |
75177510266 | import os
import string
import json
from collections import namedtuple
from sys import stdout
from lex.oed.languagetaxonomy import LanguageTaxonomy
from apps.tm.models import Lemma, Wordform, Definition, Language, ProperName
from apps.tm.build import buildconfig
LEMMA_FIELDS = buildconfig.LEMMA_FIELDS
BlockData = nam... | necrop/wordrobot | apps/tm/build/lexicon/populatedb.py | populatedb.py | py | 6,316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "apps.tm.build.buildconfig.LEMMA_FIELDS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "apps.tm.build.buildconfig",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
... |
25018394942 | import datetime
import hashlib
import json
from urllib.parse import urlparse
import requests
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import padding
import config
import crypto
class Blockchain:
def __init__(self, key_path=None):
# I... | ivana-dodik/Blockchain | EP -- zadatak 03/bez master key/blockchain.py | blockchain.py | py | 6,409 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "crypto.load_private_key",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "... |
33595739631 | from flask import Flask, render_template, request, redirect, url_for
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from database_setup import Base, Movie
app = Flask(__name__)
engine = create_engine('sqlite:///books-collection.db?check_same_thread=False')
Base.metadata.bind = engine
DB... | mrSlavik22mpeitop/stepik_selenium | flask_app_mpei.py | flask_app_mpei.py | py | 2,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "database_setup.Base.metadata",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "d... |
13749339342 | import ROOT
#from root_numpy import root2array, root2rec, tree2rec
import pylab,numpy,pickle
import matplotlib
pylab.rcParams['font.size'] = 14.0
pylab.rcParams['axes.labelsize']=18.0
pylab.rcParams['axes.titlesize']=20.0
pylab.rcParams['ytick.labelsize']='large'
pylab.rcParams['xtick.labelsize']='large'
pylab.rcParam... | daughjd/bashscripts | PaperPlotter.py | PaperPlotter.py | py | 11,938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pylab.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pylab.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pylab.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pylab.rcPara... |
1482920507 | # 从爬虫生成的Excel表格中读取数据并生成词云图
import os
import sys
import PIL
import jieba
import openpyxl
import wordcloud
import configparser
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter
from multiprocessing import Pool
# 定义一些参数，参数的详细介绍见GitHub上的readme.md
config_f... | AyaGuang/bilibili-Danmu-Crawler | 102101430/generate_Cloud.py | generate_Cloud.py | py | 5,425 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "openpyxl.utils",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "sys.exc_info",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "jieba.lcut",
... |
16439987677 | import math
from datetime import datetime, timedelta
from decimal import Decimal
from financial.input import (
FinancialDataInput,
FinancialStatisticsInput,
NullFinancialDataInput,
NullFinancialStatisticsInput,
)
from financial.model import FinancialData, db
class FinancialDataInputValidationService:... | pevenc12/python_assignment | financial/services.py | services.py | py | 8,468 | python | en | code | null | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
4583110582 | from __future__ import division
from copy import deepcopy
import torch
from torch.autograd import Variable
import torch.nn.functional as F
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
import numpy as np
import torch
def average_rule(keys, Temp_state_dict, neighbors):
aggr_state_dict = {... | cbhowmic/resilient-adaptive-RL | aggregateMethods.py | aggregateMethods.py | py | 9,022 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
... |
22618188640 | # encoding: utf-8
# pylint: disable=redefined-outer-name,missing-docstring
import pytest
from tests import utils
from app import create_app
@pytest.yield_fixture(scope='session')
def flask_app():
app = create_app(flask_config='testing')
from app.extensions import db
with app.app_context():
db.c... | DurandA/pokemon-battle-api | tests/conftest.py | conftest.py | py | 2,085 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "app.create_app",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.app_context",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app.extensions.db.create_all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.exten... |
12611135709 | import pytest
from utils import *
from fireplace.exceptions import GameOver
LORD_JARAXXUS = "EX1_323"
LORD_JARAXXUS_HERO = "EX1_323h"
LORD_JARAXXUS_WEAPON = "EX1_323w"
INFERNO = "EX1_tk33"
INFERNO_TOKEN = "EX1_tk34"
def test_jaraxxus():
game = prepare_game(CardClass.WARRIOR, CardClass.WARRIOR)
game.player1.hero.... | jleclanche/fireplace | tests/test_jaraxxus.py | test_jaraxxus.py | py | 3,302 | python | en | code | 645 | github-code | 6 | [
{
"api_name": "pytest.raises",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "fireplace.exceptions.GameOver",
"line_number": 124,
"usage_type": "argument"
}
] |
72474001467 | import random
import numpy as np
from math import sqrt, log
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
x1_list = []
x2_list = []
y_list = []
counter = 0
def drawFunc(minX, minY, maxX, maxY, ax = None):
#fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
#ax.set_xlabel('x1')
... | AlexSmirno/Learning | 6 Семестр/Оптимизация/Lab_6_grad.py | Lab_6_grad.py | py | 7,739 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_numbe... |
7357205248 | import requests
import json
import nestConfig
#AWS Constants
url = nestConfig.get_URL()
query = '''
mutation Mutation($id: String!) {
checkIn(id: $id) {
code
message
}
}
'''
def checkIn(nestID):
#Ensure nest is connected to the backend
content = json.dumps({'id':nestID}) #Assign nest name to be c... | EzequielRosario/ImperiumBinarium-Files | NestFunctions/HourlyCheckIn.py | HourlyCheckIn.py | py | 642 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nestConfig.get_URL",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 20,
"usage_type": "call"
}
] |
34836695873 | #!/usr/bin/env python3
"""Tools to define Templates.
Templates are very similar to plugins, but use jinja to transform `.enbt` template files upon installation.
"""
__author__ = "Miguel Hernández-Cabronero"
__since__ = "2021/08/01"
import sys
import argparse
import inspect
import os
import glob
import shutil
import t... | miguelinux314/experiment-notebook | enb/plugins/template.py | template.py | py | 9,816 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "installable.InstallableMeta",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "installable.Installable",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "os.... |
6679634602 | import numpy as np
#import pandas as pd
import matplotlib.pyplot as plt
import argparse, sys
import joblib
import warnings
warnings.filterwarnings('ignore')
import torch
import torch.nn as nn
from torch.autograd import Variable
import torchvision
import torchvision.transforms as transforms
from torch.util... | gdqb233/inm363 | baseline.py | baseline.py | py | 11,328 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.backends.cudnn.benchmark",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 17,
"usage_type": "name"
},
{
"a... |
10862974654 | """
Run the model end to end
"""
import argparse
import sys
import torch
from pathlib import Path
import pytorch_lightning as pl
from pytorch_lightning.callbacks.early_stopping import EarlyStopping
from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
from smallteacher.data import DataModule, train... | SmallRobotCompany/smallteacher | smallssd/end_to_end.py | end_to_end.py | py | 4,407 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "smallteacher.models... |
6397362139 | import sys
from math import sqrt
from itertools import compress
# 利用byte求质数
def get_primes_3(n):
""" Returns a list of primes < n for n > 2 """
sieve = bytearray([True]) * (n // 2)
for i in range(3, int(n ** 0.5) + 1, 2):
if sieve[i // 2]:
sieve[i * i // 2::i] = bytearray((n - i * i -... | YuanG1944/COMP9021_19T3_ALL | 9021 Python/review/mid-examples/2017S1_Sol/5.py | 5.py | py | 1,735 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "itertools.compress",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "doctest.testmod",
"line_number": 58,
"usage_type": "call"
}
] |
21480418170 | from collections import namedtuple
from functools import partial
from itertools import count, groupby, zip_longest
import bpy
import numpy as np
import re
from .log import log, logd
from .helpers import (
ensure_iterable,
get_context,
get_data_collection,
get_layers_recursive,
load_pro... | greisane/gret | operator.py | operator.py | py | 21,651 | python | en | code | 298 | github-code | 6 | [
{
"api_name": "functools.partial",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "log.log",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numbe... |
16404587226 | from ksz.src import plot
import matplotlib.pyplot as plt
data_path_list = [
'/data/ycli/dr12/galaxy_DR12v5_LOWZ_North_TOT_wMASS.dat',
'/data/ycli/dr12/galaxy_DR12v5_LOWZ_South_TOT_wMASS.dat',
'/data/ycli/dr12/galaxy_DR12v5_CMASS_North_TOT_wMASS.dat',
'/data/ycli/dr12/galaxy_DR12v5_CMASS... | YichaoLi/pksz | plot_pipe/plot_stellar_mass.py | plot_stellar_mass.py | py | 1,401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ksz.src.plot.plot_halomass_hist",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "ksz.src.plot",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "m... |
28153479584 | import src.fileIO as io
import src.chris as chris
import src.filepaths as fp
import src.analysis as anal
import src.plotting as plot
from pathlib import Path
def batch_calculate_peak_wavelength(parent_directory,
batch_name,
file_paths,
... | jm1261/PeakFinder | batch_peakfinder.py | batch_peakfinder.py | py | 4,669 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.filepaths.update_batch_dictionary",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "src.filepaths",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "src.fileIO.read_GMR_file",
"line_number": 43,
"usage_type": "call"
},
{
"api_... |
28610424615 | from __future__ import annotations
import json
import subprocess
import collections
import concurrent.futures
from os import path, system
from datetime import datetime
root_path = path.abspath("src/test_cases/UI")
report_path = path.abspath("src/reports/concurrent_test_logs")
def generate_pytest_commands():
conf... | huymapmap40/pytest_automation | src/config/parallel_test/run_parallel_test.py | run_parallel_test.py | py | 2,068 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
10528777232 | import pygame
from pygame.sprite import Sprite
class Tiro(Sprite):
"""Class para manipular os tiros disparados pela nave"""
def __init__(self, ik_game):
"""Cria um disparo na posição atual da nave"""
super().__init__()
self.screen = ik_game.screen
self.configuracoes =... | ruansmachado/Invasao_Klingon | tiro.py | tiro.py | py | 1,130 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.Rect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"l... |
1040065850 | import numpy as np
import pandas as pd
import operator
from sklearn import preprocessing
data = pd.read_csv("data.csv",header=None)
min_max_scaler = preprocessing.MinMaxScaler(feature_range=(0,1))
def classify(v,k,distance):
target_values = data.iloc[:,-1]
nearest_neighbors = knn(data,k,v,distance)
classificat... | egjimenezg/DataAnalysis | knn/knn.py | knn.py | py | 2,364 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": ... |
25508690525 | #!/usr/bin/env python3
import requests
import os
url = 'http://localhost/upload/'
path = os.getcwd() + '/supplier-data/images/'
only_jpeg = []
for file in os.listdir(path):
name, ext = os.path.splitext(file)
if ext == '.jpeg':
only_jpeg.append(os.path.join(path,file))
for jpeg in only_jpeg:
with open(jpe... | paesgus/AutomationTI_finalproject | supplier_image_upload.py | supplier_image_upload.py | py | 393 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,... |
9637017975 | from selenium import webdriver
from selenium.webdriver.edge.service import Service
from selenium.webdriver.common.by import By
from time import sleep
class InternetSpeed:
def __init__(self, edge_driver_path):
self.driver = webdriver.Edge(service=Service(edge_driver_path))
self.down = 0
... | na-lin/100-days-of-Python | Day51_Internet-Speed-Twitter-Complaint-Bot/internet_speed.py | internet_speed.py | py | 1,309 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Edge",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.edge.service.Service",
"line_number": 9,
"usage_type": "call"
},
{
"a... |
74432928827 | """
This file is part of Candela.
Candela is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Candela is distributed in the hope that it will b... | emmettbutler/candela | candela/shell.py | shell.py | py | 21,960 | python | en | code | 71 | github-code | 6 | [
{
"api_name": "curses.initscr",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "textwrap.wrap",
"line_number": 270,
"usage_type": "call"
},
{
"api_name": "curses.KEY_UP",
"line_number": 321,
"usage_type": "attribute"
},
{
"api_name": "curses.KEY_DOWN",
... |
15206966945 | # -*- coding: utf-8 -*-
"""
Ventricular tachycardia, ventricular bigeminy, Atrial fibrillation,
Atrial fibrillation, Ventricular trigeminy, Ventricular escape ,
Normal sinus rhythm, Sinus arrhythmia, Ventricular couplet
"""
import tkinter as tk
import scipy.io as sio
from PIL import Image, ImageTk
class App(... | Sandovaljuan99/INMEDUMG | Cardiac arrhythmia simulator/IGPY.py | IGPY.py | py | 4,934 | python | es | code | 1 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tkinter.IntVar",
"line_num... |
28558999835 | from helper import is_prime, find_prime_factors, int_list_product
def smallest_multiple(n):
ls = list()
for i in range(2,n):
pf = find_prime_factors(i)
for l in ls:
for f in pf:
if(l == f):
pf.remove(f)
break
for f in ... | thejefftrent/ProjectEuler.py | 5.py | 5.py | py | 436 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "helper.find_prime_factors",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "helper.int_list_product",
"line_number": 18,
"usage_type": "call"
}
] |
42663501049 | import os
import torch
import datetime
import numpy as np
import pandas as pd
from src.attn_analysis import gradcam
from src.attn_analysis import iou_analysis
from src.attn_analysis import blue_heatmap
from src.attn_analysis import extract_disease_reps
from src.attn_analysis import make_2d_plot_and_3d_gif
import warn... | rachellea/explainable-ct-ai | src/run_attn_analysis.py | run_attn_analysis.py | py | 26,139 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
27070910668 | import datetime as dt
import random
import pytest
from scheduler import Scheduler, SchedulerError
from scheduler.base.definition import JobType
from scheduler.threading.job import Job
from ...helpers import foo
@pytest.mark.parametrize(
"empty_set",
[
False,
True,
],
)
@pytest.mark.para... | DigonIO/scheduler | tests/threading/scheduler/test_sch_get_jobs.py | test_sch_get_jobs.py | py | 2,720 | python | en | code | 51 | github-code | 6 | [
{
"api_name": "scheduler.Scheduler",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "helpers.foo",
"line_number": 43,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime.now",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
71548544188 | import math
import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
from collections import OrderedDict
from modules import CompactBasicBlock, BasicBlock, Bottleneck, DAPPM, segmenthead, GhostBottleneck
bn_mom = 0.1
BatchNorm2d = nn.BatchNorm2d
class CompactDu... | himlen1990/cddrnet | utils/speed_test/cddrnet_eval_speed.py | cddrnet_eval_speed.py | py | 8,667 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
968977222 | import pyodbc
import pandas as pd
# Connection steps to the server
from OnlineBankingPortalCSV2_code import Accounts, Customer
server = 'LAPTOP-SELQSNPH'
database = 'sai'
username = 'maram'
password = 'dima2k21'
cnxn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER='+server+';DATABASE='+database+';UID=... | divyamaram/Database-Managment-systems | OnlineBankingPortalCSV3_code.py | OnlineBankingPortalCSV3_code.py | py | 4,255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyodbc.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"l... |
35035790893 | import csv
import json
import numpy as np
from tabulate import tabulate
import matplotlib.pyplot as plt
from math import ceil
from wand.image import Image as WImage
from subprocess import Popen
def make_json(csvFilePath,keyName,alldata):
# create a dictionary
data = {}
# Open a csv re... | miccec/ExomePipeline | interactPlots.py | interactPlots.py | py | 4,422 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.DictReader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 4... |
28160427846 | import asyncio
from time import time
from httpx import RequestError
from loguru import logger
from src.client import IteriosApiClient
from src.exceptions import FailedResponseError
from src.helpers import (
get_random_country, get_random_dep_city, get_search_start_payload, get_timing_results,
setup_logger,
)
... | qwanysh/iterios-stress | start_search.py | start_search.py | py | 2,281 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "loguru.logger.info",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.client.IteriosApiClien... |
5838127346 | from datetime import datetime
from maico.sensor.stream import Confluence
from maico.sensor.targets.human import Human
from maico.sensor.targets.human_feature import MoveStatistics
from maico.sensor.targets.first_action import FirstActionFeature
import maico.sensor.streams.human_stream as hs
class OneToManyStream(Conf... | tech-sketch/maico | maico/sensor/streams/one_to_many_stream.py | one_to_many_stream.py | py | 2,289 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "maico.sensor.stream.Confluence",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "maico.sensor.streams.human_stream.MoveStream",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "maico.sensor.streams.human_stream",
"line_number": 21,
"usage_... |
11948273979 | #!/usr/bin/python3.8
# -*- coding: utf-8 -*-
#
# SuperDrive
# a live processing capable, clean(-ish) implementation of lane &
# path detection based on comma.ai's SuperCombo neural network model
#
# @NamoDev
#
# ============================================================================ #
# Parse arguments
import os... | kaishijeng/SuperDrive | drive.py | drive.py | py | 8,715 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
28039146623 | #! /usr/bin/env python3
__author__ = 'Amirhossein Kargaran 9429523 '
import os
import sys
import socket
import pickle
import select
import signal
import threading
import time
from threading import Thread
from datetime import datetime
# Local modules
from APIs.logging import Log
from APIs.logging import Color
from AP... | kargaranamir/Operating-Systems | Project II/Code/chatServer.py | chatServer.py | py | 14,141 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "filelock.FileLock",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_nu... |
73357295548 | from .MainDataToICS import MainDataToICS
from .WebJWC import WebJWC
import time
import os
from hashlib import md5
import random
import json
def getData(id,password):
web = WebJWC(id,password)
print('TOPO1')
web.runDriver()
time.sleep(1)
print('TOPO2')
web.loginIn()
time.sleep(1)
print('... | CQU-CSA/CQUScheduleCalendar | DjangoICS/CQUClassICS/src/MainICS.py | MainICS.py | py | 1,500 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "WebJWC.WebJWC",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 1... |
37213848810 | from collections import Counter, defaultdict
import pandas as pd
import os
import csv
import json
# get phoneme features from PHOIBLE
# note the path is resolved-phoible.csv that is corrected for mismatches between phonemes in PHOIBLE and the XPF Corpus
phoneme_features = pd.read_csv("Data/resolved-phoible.csv")
phone... | daniela-wiepert/XPF-soft-constraints | FD/Code/ngram_model_fd.py | ngram_model_fd.py | py | 9,512 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "colle... |
25538067967 | import streamlit as st
import pandas as pd
import plotly.express as px
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style("darkgrid")
hide_st_style = """
<style>
footer {visibility: hidden;}
#MainMenu {visibility: hidden;}
header {visi... | Somnathpaul/Olympic-data-analysis | main.py | main.py | py | 6,253 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set_style",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",... |
29534323943 | from scipy.interpolate import Rbf # radial basis functions
import matplotlib.pyplot as plt
import numpy as np
x = [1555,1203,568,1098,397,564,1445,337,1658,1517,948]
y = [860,206,1097,425,594,614,553,917,693,469,306]
x = [0.9, 0.6, 0.1, 0.5, 0.04, 0.1, 0.82, 0.0, 1.0, 0.89, 0.46]
y = [0.73, 0.0, 1.0, 0.24, 0.43, 0.45... | twilly27/DatacomProject | Project/HeatMapping.py | HeatMapping.py | py | 795 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.interpolate.Rbf",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
... |
35914457874 | class Solution(object):
# @param nestedList a list, each element in the list
# can be a list or integer, for example [1,2,[1,2]]
# @return {int[]} a list of integer
def flatten(self, nestedList: list) -> list:
import collections
stack = collections.deque([nestedList])
result = [... | Super262/LintCodeSolutions | data_structures/stack/problem0022.py | problem0022.py | py | 575 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
14807526088 | import time
import multiprocessing
def work():
for i in range(10):
print("工作中...")
time.sleep(0.2)
if __name__ == '__main__':
work_process = multiprocessing.Process(target=work)
work_process.daemon=True
work_process.start()
# 程序等待1秒
time.sleep(1)
print("程序结束")
| kids0cn/leetcode | Python语法/python多线程多进程/4.守护进程.py | 4.守护进程.py | py | 333 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
}
] |
20495057760 | import sys, iptc, re, socket
single_options = False
predesigned_rules = ['BlockIncomingSSH', 'BlockOutgoingSSH', 'BlockAllSSH', 'BlockIncomingHTTP', 'BlockIncomingHTTPS',\
'BlockIncomingPing', 'BlockInvalidPackets', 'BlockSYNFlooding', 'BlockXMASAttack', 'ForceSYNPackets']
accepted_protocols = ['ah','egp','esp'... | syerbes/myFirewall | myFirewall.py | myFirewall.py | py | 21,668 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "iptc.Chain",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "iptc.Table",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "iptc.Rule",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "iptc.Target",
"line_number": 37,
... |
2254678822 | import urllib
from xml.dom import minidom
import re
def buildResponse(node_list):
return_string = ""
for i in node_list:
return_string = return_string + i + "\n"
return return_string.strip()
def buildURL(key, word):
return "http://www.dictionaryapi.com/api/v1/references/collegiate/xml/" + word + "?key=" + key
... | sarthfrey/Texty | dictionaryDef.py | dictionaryDef.py | py | 819 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "urllib.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parseString",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
"line_number": 17,
"usage_type": "name"
}
] |
37530932561 | from rest_framework.response import Response
from rest_framework.decorators import api_view
from rest_framework import status
from curriculum.serializers.curriculum_serializers import SubjectLevelListSerializer, SubjectLevelSerializer, SubjectLevelWriteSerializer
from rest_framework.exceptions import NotFound
from rest... | markoco14/student-mgmt | curriculum/views/subject_level_views.py | subject_level_views.py | py | 3,238 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "curriculum.models.SubjectLevel.objects.all",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "curriculum.models.SubjectLevel.objects",
"line_number": 21,
"usag... |
31484686923 | import torch
from models.conformer.activation import GLU, Swish
class DepthWiseConvolution(torch.nn.Module):
def __init__(self, in_channels, kernel_size, stride, padding):
super(DepthWiseConvolution, self).__init__()
self.conv = torch.nn.Conv1d(in_channels, in_channels, kernel_size, stride, paddin... | m-koichi/ConformerSED | src/models/conformer/convolution.py | convolution.py | py | 1,709 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv1d",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number"... |
18385696956 |
# Import the libraries
import cv2
import os
import numpy as np
class Auxiliary(object):
"""
Class that provides some auxiliary functions.
"""
def __init__(self, size_x=100, size_y=100, interpolation=cv2.INTER_CUBIC):
"""
Set the default values for the image size and the interpolation... | kelvins/Reconhecimento-Facial | FaceRecognition/classes/auxiliary.py | auxiliary.py | py | 9,896 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "cv2.INTER_CUBIC",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.INTER_CUBIC",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "cv2.INT... |
44295661280 | import numpy as np
from lib import EulerUtils as eu
# Problem 36 solution!
def checkIfNumberIsPalindromeInBothBases(number):
numberString = str(number)
baseTwoString = "{0:b}".format(number)
if (eu.isPalindrome(numberString) and eu.isPalindrome(baseTwoString)):
return True
else:
return... | Renoh47/ProjectEuler | project euler python/problem36.py | problem36.py | py | 426 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lib.EulerUtils.isPalindrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lib.EulerUtils",
"line_number": 11,
"usage_type": "name"
}
] |
70007062267 | from typing import Any, Dict
import os
import json
import httpx
from odt.config import PipeConfig
_TEMPFILENAME = "lgbm_tmp_model.txt"
class ODTManager:
def __init__(self, server_host: str) -> None:
self.server_host = server_host
def update_config(self, config: PipeConfig):
# serialization... | Tsoubry/fast-lightgbm-inference | rust-transformer/python/odt/manage.py | manage.py | py | 1,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "odt.config.PipeConfig",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "httpx.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"line_nu... |
36021205025 | from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
from sendQueries import SendQueriesHandler
from ResponseHandler import ResponseHandler
class HomeHandler(webapp.RequestHandler):
def get(self):
self.response.out.write("Hello!")
appRoute = webapp.WSGIApplication( ... | stolksdorf/lifetracker | web/home.py | home.py | py | 508 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "google.appengine.ext.webapp.RequestHandler",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.webapp",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.webapp.WSGIApplication",
"line_number": 11,
... |
30827683895 | import os
import logging
from novelwriter.enum import nwItemLayout, nwItemClass
from novelwriter.error import formatException
from novelwriter.common import isHandle, sha256sum
logger = logging.getLogger(__name__)
class NWDoc():
def __init__(self, theProject, theHandle):
self.theProject = theProject
... | vaelue/novelWriter | novelwriter/core/document.py | document.py | py | 7,928 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "novelwriter.common.isHandle",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
12903245570 | import faust
import uuid
app = faust.App(
'greetings',
broker='kafka://localhost:9092',
)
class Greeting(faust.Record, serializer='json', isodates=True):
message: str
uuid: str
greetings_topic = app.topic('greetings', value_type=Greeting)
@app.agent(greetings_topic)
async def get_gr... | tyao117/faust-fastapi | faust_hello_world.py | faust_hello_world.py | py | 747 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "faust.App",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "faust.Record",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid1",
"line_number": 29,
"usage_type": "call"
}
] |
17661406387 | from collections import defaultdict, deque
from enum import Enum
def read(filename):
with open(filename) as f:
insts = (line.strip().split(' ') for line in f)
return [(inst[0], tuple(inst[1:])) for inst in insts]
def isint(exp):
try:
int(exp)
return True
except ValueError:... | pdhborges/advent-of-code | 2017/18.py | 18.py | py | 2,447 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "collections.deque... |
1090949893 | from keras.applications import resnet50
from keras.applications import mobilenetv2
from keras.applications import mobilenet
from keras.applications import vgg19
# from keras_squeezenet import SqueezeNet
import conv.networks.get_vgg16_cifar10 as gvc
import conv.networks.gen_conv_net as gcn
# import conv.networks.Mobile... | nitthilan/ml_tutorials | conv/networks/get_all_imagenet.py | get_all_imagenet.py | py | 11,760 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.applications.resnet50.ResNet101",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "keras.applications.resnet50",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "keras.applications.mobilenetv2.MobileNetV2",
"line_number": 53,
"usage_... |
24423662765 | #! /usr/bin/env python3
from typing import Any, Dict
import rospy
import dynamic_reconfigure.server
from example_package_with_dynamic_reconfig.cfg import ExampleDynamicParametersConfig
def dynamic_reconfigure_callback(config: Dict[str, Any], level: Any) -> Dict[str, Any]:
return config
if __name__ == "__main__"... | keivanzavari/dynamic-reconfigure-editor | example/example_package_with_dynamic_reconfig/src/example_package_with_dynamic_reconfig/node.py | node.py | py | 710 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rospy.init_node",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rospy.WARN",
"line_number": ... |
71971273469 | import logging
from kubernetes import client
from kubernetes.client.models.v1_resource_requirements import V1ResourceRequirements
from kubeflow.fairing.constants import constants
logger = logging.getLogger(__name__)
def get_resource_mutator(cpu=None, memory=None, gpu=None, gpu_vendor='nvidia'):
"""The mutator for... | kubeflow/fairing | kubeflow/fairing/kubernetes/utils.py | utils.py | py | 5,342 | python | en | code | 336 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "kubernetes.client.models.v1_resource_requirements.V1ResourceRequirements",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "kubeflow.fairing.constants.constants.PVC_DEFAULT_MOUNT_... |
20785922085 | from django.conf.urls.defaults import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('reviews.views',
url(r'^$', 'home', name='home'),
url(r'^courses/$', 'courses', name='courses'),
url(r'^courses/find/$', 'find_course', name='find_course'),
url(r'^... | aldeka/ClassShare | classshare/urls.py | urls.py | py | 1,746 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 6,
"usage_type": "call"
},
{... |
16475584397 | import sqlite3
from sqlite3 import Error
class Data():
__error = None
__result = None
def __init__(self, db):
try:
self.con = sqlite3.connect(db, check_same_thread = False)
self.cur = self.con.cursor()
except Error as e:
print(e)
def clean_db(self):... | madePersonal/Android_forensic_tools | Data.py | Data.py | py | 6,992 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line... |
3480167544 | import json
import boto3
from smart_open import smart_open, codecs
from ConfigParser import ConfigParser
import psycopg2
def publish_message(producerInstance, topic_name, key, value):
"Function to send messages to the specific topic"
try:
producerInstance.produce(topic_name,key=key,value=value)
... | vikash4281/Corpus-Callosum | Ingestion/Streaming.py | Streaming.py | py | 5,581 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "psycopg2.DatabaseError",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name":... |
28193366899 | from datetime import datetime, time
import sys
from time import sleep
import datefunc
def choose_date(now):
datefunc.clear_terminal()
option = input("Choose counter:\n 1 - time to pay,\n 2 - time to vacation,\n 3 - time to end of working day \n")
datefunc.clear_terminal()\
if option == '1... | NikitaTymofeiev-dev/simpleApp | main.py | main.py | py | 1,046 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datefunc.clear_terminal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datefunc.clear_terminal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datefunc.time_to_pay",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "d... |
39620320183 | from Folder_de_Testes.base import Fox_HEIGHT, Fox_WIDTH
import pygame
import random
#Parametros gerais
WIDTH = 880
HEIGHT = 400
gravity = 1
def randon_sizes_for_walls(xpos):
protection = 200
altura = random.randint(200, 400)
wall = Wall(False, xpos, altura)
inversal_wall = Wall(True, xpos,HEIGHT - ... | RodrigoAnciaes/Flying_Fox_game | Folder_de_Testes/personagens.py | personagens.py | py | 7,008 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygam... |
40787987363 | ## import libraries
from tkinter import *
from gtts import gTTS
from playsound import playsound
################### Initialized window####################
root = Tk()
root.geometry('350x300')
root.resizable(0,0)
root.config(bg = 'light yellow')
root.title('DataFlair - TEXT_TO_SPEECH')
##heading
... | program444/HELIGA-TEKST- | Text-to-Speech.py | Text-to-Speech.py | py | 1,453 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gtts.gTTS",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 44,
"usage_type": "call"
}
] |
23917961666 | from langchain.document_loaders import WebBaseLoader
from langchain.document_loaders import PyPDFLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.embeddings import HuggingFaceEmbeddings
from langchain.vectorstores import Chroma
import os
from langchain.chat_models import JinaChat... | luongthang0105/rag-cla | create_bot.py | create_bot.py | py | 2,864 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "langchain.document_loaders.WebBaseLoader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "langchain.document_loaders.PyPDFLoader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "langchain.text_splitter.RecursiveCharacterTextSplitter",
"lin... |
38486654704 | from datetime import datetime, timezone, timedelta
def stem(label: str, blacklist: list):
'''
This function stems a given event label.
Inputs:
- label: single label to stem
- blacklist: list of terms, that should be excluded from the label
Return: stemmed label
'''
parts = label.split... | bptlab/bpi-challenge-2020 | src/util.py | util.py | py | 2,829 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "datetime.timedelta",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
70416777467 | from multiprocessing import Value, Queue, Process
from config import config
from spider.HtmlCrawl import IpCrawl
from usable.usable import usable
from db.db_select import save_data
def startProxyCrawl(queue,db_proxy_num):
crawl = IpCrawl(queue,db_proxy_num)
crawl.run()
def validator(queue1,queue2):
pass
... | queenswang/IpProxyPool | proxyspider.py | proxyspider.py | py | 703 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spider.HtmlCrawl.IpCrawl",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Value",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "c... |
4495169101 | # -*- coding: utf-8 -*-
"""
Tests for CSV Normalizer
"""
import csv
from io import StringIO
from _pytest.capture import CaptureFixture
from pytest_mock import MockFixture
from src.csv_normalizer import main
def test_outputs_normalized_csv(mocker: MockFixture, capsys: CaptureFixture[str]) -> None:
with open("tes... | felipe-lee/csv_normalization | tests/test_csv_normalizer.py | test_csv_normalizer.py | py | 2,253 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest_mock.MockFixture",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "_pytest.capture.CaptureFixture",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.csv_normalizer.main",
"line_number": 18,
"usage_type": "call"
},
{
"ap... |
29041072051 | from flask import Flask, jsonify
from datetime import datetime
import requests
from flask import request
app = Flask(__name__)
logs = []
@app.route("/list", methods=["POST"])
def list():
r = request.data.decode("utf-8")
logs.append(r)
return jsonify(success=True)
@app.route("/usage.log")
def home():
... | maciejgrosz/containers_network_communication | loggerservice/loggerservice.py | loggerservice.py | py | 390 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.data.decode",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.data",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.re... |
27215126875 | import pytest
from hbutils.system import telnet, wait_for_port_online
@pytest.mark.unittest
class TestSystemNetworkTelnet:
def test_telnet(self):
assert telnet('127.0.0.1', 35127)
assert telnet('127.0.0.1', 35128)
assert not telnet('127.0.0.1', 35129, timeout=1.0)
def test_wait_for_p... | HansBug/hbutils | test/system/network/test_telnet.py | test_telnet.py | py | 559 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "hbutils.system.telnet",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hbutils.system.telnet",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "hbutils.system.telnet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hbut... |
43279150633 | from django.contrib import admin
from django.urls import path
from . import views
app_name = 'task'
urlpatterns=[
# path('', views.index, name='index')
path('', views.TasksView.as_view(), name='index'),
path('addtask/', views.add_task, name='addtask'),
path('remover/', views.remove_all_task, name='... | eh97979/Task-manager | task_project/task/urls.py | urls.py | py | 456 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
3705027331 | import bitstring
def shift_check( filename ):
f = open(filename, 'rb')
bits = bitstring.Bits( f )
f.close()
bits_array = bitstring.BitArray( bits )
skip =8*3
for k in range(8):
start = k + skip
stop = start+ 200*8
shifted = bits_array[start:stop]
byte_data = sh... | tj-oconnor/spaceheroes_ctf | forensics/forensics-rf-math/solve/shifty.py | shifty.py | py | 583 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "bitstring.Bits",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bitstring.BitArray",
"line_number": 7,
"usage_type": "call"
}
] |
3232593391 | import logging
class LogDB:
def __init__(self,fileName):
self.fileName = fileName
self.loglist = []
self.files = None
self.final = {}
def log(self, message=None ):
FORMAT = '%(asctime)s %(message)s'
logging.basicConfig(format=FORMAT, filename=self.fileName)
... | reza2002801/Torrent | logDB.py | logDB.py | py | 1,524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 13,
"usage_type": "call"
}
] |
71924390587 | from setuptools import setup, find_packages
from os.path import join
name = 'menhir.simple.livesearch'
version = '0.1'
readme = open("README.txt").read()
history = open(join("docs", "HISTORY.txt")).read()
setup(name = name,
version = version,
description = 'Dolmen simple extension : livesearch',
lon... | trollfot/menhir.simple.livesearch | setup.py | setup.py | py | 1,479 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 19,
"usage_type": "call"
}
] |
28339877749 | from itertools import product
k,m = list(map(int,input().split()))
arr = []
cart_prod = []
maxS=0
for _ in range(k):
lstN = list(map(int,input().split()[1:]))
arr.append(lstN)
cart_prod = list(product(*arr))
for elem in cart_prod:
sum1=0
for i in elem:
sum1+=i**2
if sum1%m>maxS:... | t3chcrazy/Hackerrank | maximize-it.py | maximize-it.py | py | 358 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.product",
"line_number": 9,
"usage_type": "call"
}
] |
20538458179 | # https://leetcode.com/problems/last-stone-weight/
"""
Time complexity:- O(N logN)
Space Complexity:- O(N)
"""
import heapq
from typing import List
class Solution:
def lastStoneWeight(self, stones: List[int]) -> int:
# Create a max heap (negate each element to simulate a min heap)
h = [-x for x... | Amit258012/100daysofcode | Day60/last_stone_weight.py | last_stone_weight.py | py | 844 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "heapq.heapify",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_num... |
74977721787 |
import logging
import psycopg2
from dipper.sources.Source import Source
LOG = logging.getLogger(__name__)
class PostgreSQLSource(Source):
"""
Class for interfacing with remote Postgres databases
"""
files = {}
def __init__(
self,
graph_type,
are_bnodes_skole... | monarch-initiative/dipper | dipper/sources/PostgreSQLSource.py | PostgreSQLSource.py | py | 6,689 | python | en | code | 53 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dipper.sources.Source.Source",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "psycopg2.connect",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "psycopg... |
4785885470 | from collections import defaultdict, deque
n = int(input())
d = defaultdict(list)
for i in range(1, n):
l = list(map(int, input().split()))
now = 1
for j in range(i+1, n+1):
d[i].append((j, l[now-1]))
d[j].append((i, l[now-1]))
now += 1
print(d)
s = set()
max = 0
def dfs(now, flg... | K5h1n0/compe_prog_new | abc318/d/main.py | main.py | py | 570 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
}
] |
71992464828 | import json
# Đọc dữ liệu từ file input1.json và input2.json
with open('input1.json', 'r', encoding='utf-8') as file1, open('input2.json', 'r', encoding='utf-8') as file2:
data1 = json.load(file1)
data2 = json.load(file2)
# Tìm các cặp key có cùng giá trị trong cả hai file
common_key_value_pairs = []
for key... | mminhlequang/python_tools | key_have_same_value/main.py | main.py | py | 1,139 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 32,
"usage_type": "call"
}
] |
8743120221 | import pandas as pd #pandas是强大的分析结构化数据的工具集 as是赋予pandas别名
from matplotlib import pyplot as plt #2D绘图库，通过这个库将数据绘制成各种2D图形（直方图，散点图，条形图等）
#全国哪一个城市地铁线最多
def subline_count():
df1 = df.iloc[:, :-1] #筛选前三列 df是下面main读取的
df2 = df1.drop_duplicates(subset=['city', 'subwayline']) # 去重
# ... | rlxy/python | 爬虫/数据分析/城市地铁数量排行榜/analysis.py | analysis.py | py | 1,315 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ma... |
71168432827 | '''
This project is a GUI calculator for a high yield savings account.
The GUI will display 4 input boxes. An intial deposit, monthly deposit, APY yield, and years to calculate
The result will be a number at the end of the year, as well as a graph that displays the growth of the account.
Possible extras could incl... | MaxC1880/HYSAcalculator | HYSAcalculator.py | HYSAcalculator.py | py | 6,918 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.Canvas",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",
"line... |
5469847519 | import os
import numpy as np
from datetime import datetime
import time
from Utils import _add_loss_summaries
from model import *
#from augmentation import pre_process_image
NUM_EXAMPLES_PER_EPOCH_FOR_TRAIN = 367
NUM_EXAMPLES_PER_EPOCH_FOR_TEST = 101
NUM_EXAMPLES_PER_EPOCH_FOR_EVAL = 1
TEST_ITER = 200 # ceil(NUM_EXAM... | mohbattharani/Segmentation_ | SegNet/train.py | train.py | py | 7,704 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.colors.Normalize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.cm.get_cmap",
"line_number": 21,
"usage_type": "call"
},
{
"api_nam... |
19580309816 | import pytest
from torch.optim import RMSprop as _RMSprop
from neuralpy.optimizer import RMSprop
@pytest.mark.parametrize(
"learning_rate, alpha, eps, weight_decay, momentum, centered",
[
(-6, 0.001, 0.001, 0.001, 0.001, False),
(False, 0.001, 0.001, 0.001, 0.001, False),
("invalid", 0... | imdeepmind/NeuralPy | tests/neuralpy/optimizer/test_rmsprop.py | test_rmsprop.py | py | 3,352 | python | en | code | 78 | github-code | 6 | [
{
"api_name": "pytest.raises",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "neuralpy.optimizer.RMSprop",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytes... |
38470272604 | import collections
def flatten_path(nested, parent_key=()):
items = []
for k, v in nested.items():
new_key = parent_key + (k,)
if isinstance(v, collections.abc.MutableMapping):
items.extend(flatten_path(v, new_key).items())
else:
items.append((new_key, v))
r... | BRGM/inept | inept/utils.py | utils.py | py | 439 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.abc",
"line_number": 8,
"usage_type": "attribute"
}
] |
35945080718 | import json
import csv
filename = 'data/predictions/test_prediction_RD_15_0.00003_4_finnum_5_bertuncase.csv'
j = 0
predictions = []
with open(filename, 'r') as csvfile:
datareader = csv.reader(csvfile)
for row in datareader:
j += 1
if j == 1: continue
new_row = []
new_... | MikeDoes/ETH_NLP_Project | predictions_to_json.py | predictions_to_json.py | py | 1,144 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 36,
"usage_type": "call"
}
] |
43348614388 | from scrabzl import Word, Dictionary
import unicodedata
def strip_accents(text):
try:
text = unicode(text, 'utf-8')
except NameError: # unicode is a default on python 3
pass
text = unicodedata.normalize('NFD', text)\
.encode('ascii', 'ignore')\
.decode("utf-8")
... | charleswilmot/scrabzl | src/create_dictionary.py | create_dictionary.py | py | 1,733 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unicodedata.normalize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scrabzl.Word",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scrabzl.Dictionary",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "argparse.Argume... |
36942726510 | from PIL import Image
myImg = Image.open('Image1.jpg')
newImg = myImg.convert('L')
print("Do you want your ", myImg, "converted to GRY?")
print("Type: y or n")
answer = str(input("y or n?: "))
if answer == "y":
newImg.show()
newImg.save('Image1_Grayscale.jpg')
if answer == "n":
myImg.show()
| Sir-Lance/CS1400 | EX7-3.py | EX7-3.py | py | 304 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 2,
"usage_type": "name"
}
] |
13231283002 | """
@Author : Hirsi
@ Time : 2020/7/3
"""
"""
思路(线程池)
1.定义变量，保存源文件夹，目标文件夹所在的路径
2.在目标路径创建新的文件夹
3.获取源文件夹中所有的文件(列表)
4.便利列表，得到所有的文件名
5.定义函数，进行文件拷贝
文件拷贝函数 参数(源文件夹路径，目标文件夹路径，文件名)
1.拼接源文件和目标文件的具体路径
2.打开源文件，创建目标文件
3.读取源文件的内容，写入到目标文件中(while)
"""
import os
import multiprocessing
... | gitHirsi/PythonNotes02 | day07-多任务-进程/10-文件夹拷贝器_多进程版.py | 10-文件夹拷贝器_多进程版.py | py | 2,139 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "multiprocessing.current_process",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.listdir",
... |
23706350056 | #!/usr/bin/env python
"""Plot sky positions onto an Aitoff map of the sky.
Usage:
%s <filename>... [--racol=<racol>] [--deccol=<deccol>] [--mjdcol=<mjdcol>] [--filtercol=<filtercol>] [--expnamecol=<expnamecol>] [--commentcol=<commentcol>] [--usepatches] [--alpha=<alpha>] [--outfile=<outfile>] [--tight] [--delimiter=... | genghisken/gkplot | gkplot/scripts/skyplot.py | skyplot.py | py | 15,360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.colors",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "gkutils.commonutils.sexToDec",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "gkutils.... |
27773482180 | import threading
from sqlalchemy import Column, UnicodeText, Integer
from telepyrobot.db import BASE, SESSION
from telepyrobot.utils.msg_types import Types
class Notes(BASE):
__tablename__ = "self_notes"
user_id = Column(Integer, primary_key=True)
name = Column(UnicodeText, primary_key=True)
value = C... | Divkix/TelePyroBot | telepyrobot/db/notes_db.py | notes_db.py | py | 3,140 | python | en | code | 40 | github-code | 6 | [
{
"api_name": "telepyrobot.db.BASE",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.... |
36339047472 | import csv
from datetime import datetime
import random
Header=["Time","Sample number","Temperature","Humidity","Sensor response", "PM response", "Temperature MFC"]
dataLine=["","","","","","",""]
with open('main.csv','w') as main:
csv_writer=csv.writer(main, delimiter=",")
csv_writer.writerow(Header)
#csv_writer.wr... | Virgile-Colrat/YFA-Project_python_interface | Sources/testcs.py | testcs.py | py | 723 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "random.randint",
... |
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