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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
13848889282 | import random
import numpy as np
from tqdm import tqdm
import pandas as pd
from preprocessing.indicators import IndicatorsPreprocessor, PriceSource
from preprocessing.resampler import TimeResamplerPreprocessor
from preprocessing.datetime_decomposition import DateTimePreprocessor
from preprocessing import Preprocessor
f... | cTatu/gym-algo-trading | main.py | main.py | py | 3,809 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "preprocessing.Preprocessor",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "preprocessing.resampler.TimeResamplerPreprocessor",
"line_number": 25,
"usage_type": "call"
},
... |
72233113919 | from sklearn import datasets,linear_model
from sklearn.model_selection import train_test_split
data = datasets.load_breast_cancer()
print(data.keys())
import pickle
xtrain,xtest,ytarin,ytest = train_test_split(data.data,data.target,test_size=0.01)
model =linear_model.LinearRegression()
model.fit(xtrain,ytarin)
l= m... | ashu-tosh-singh/stock-prediction | wineAndcancer/model/myModel.py | myModel.py | py | 487 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 7,
"usage_type": "call"
},... |
1712747158 | import falcon
from GlobalEnvironment.db import DB
from GlobalEnvironment.GlobalFunctions import jwtDecode, sendmail
from datetime import datetime
import json
conn = DB()
class troubleTask(object):
def on_post(self, req, resp):
try:
rawjson = req.stream.read()
data = json.loads(rawjs... | girirahayu/api-timeshift | GlobalEnvironment/troubleTaskList.py | troubleTaskList.py | py | 3,899 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "GlobalEnvironment.db.DB",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "GlobalEnvironment.GlobalFunctions.sendmail",
"line_number": 24,
"usage_type": "call"
},
{
"api_... |
7259704644 | from __future__ import print_function
import numpy as np
np.random.seed(1234) # for reproducibility?
# specifying the gpu to use
# import theano.sandbox.cuda
# theano.sandbox.cuda.use('gpu1')
import theano
import theano.tensor as T
import binary_net
import lasagne
from pylearn2.datasets.cifar10 ... | matthijsvk/multimodalSR | code/lipreading/binary/binary_lipreading.py | binary_lipreading.py | py | 19,199 | python | en | code | 56 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "binary_net.binary_tanh_unit",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "th... |
34556143476 | # First import the library
import pyrealsense2 as rs
import time
from graceful_killer import GracefulKiller
def rs_capture():
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.rgb8, ... | luke-bouttell/bear-pack | rs_capture.py | rs_capture.py | py | 1,152 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyrealsense2.pipeline",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyrealsense2.config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyrealsense2.stream",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyrea... |
3141408842 | # -*- coding: utf-8 -*-
import os
import weasyprint as wp
import csv
import jinja2 as j2
try:
os.mkdir('director_report')
os.mkdir('teacher_report')
os.mkdir('progress')
except OSError:
pass
csv_file = open('new-data-total.csv','r')
data = csv.DictReader(csv_file, delimiter=',')
env = j2.Environment(load... | madker4/gen_pdf_report_surv | gen_pdf_report_surv.py | gen_pdf_report_surv.py | py | 1,056 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.mkdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 15,
... |
19076820897 | from selenium import webdriver
import time
PATH = "C:\Program Files (x86)\chromedriver_win32\chromedriver.exe"
driver = webdriver.Chrome(PATH)
driver.get("https://the-internet.herokuapp.com/")
time.sleep(1)
driver.find_element_by_link_text("Dynamic Content").click()
time.sleep(1)
driver.find_element_b... | ogorovoy/easy-selenium-test | dynamic contents.py | dynamic contents.py | py | 585 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
5825141182 | import operator
from functools import partial
from athsymbol import (
isAthValue, AthExpr, AthSymbol,
BuiltinSymbol, AthBuiltinFunction, AthCustomFunction,
SymbolError,
)
from athbuiltins_default import ath_builtins
def bool_not(val):
if isAthValue(val):
val = AthSymbol(bool(val), left=val)... | virtuNat/discord.-ATH | athstmt.py | athstmt.py | py | 13,647 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "athsymbol.isAthValue",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "athsymbol.AthSymbol",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "athsymbol.AthSymbol",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "athsymbo... |
2395291651 | from graphene import graphene_model
from plotly.subplots import make_subplots
import plotly.graph_objects as go
fig = make_subplots(rows=2, cols=2,
specs=[[{'type': 'scatter'}, {'type': 'scatter'}],
[{'type': 'surface'}, {'type': 'contour'}]])
graphene = graphene_model()
R1, R2 = graphene.lattice(1)
K ... | Luis2501/condensed-matter | tests/app.py | app.py | py | 1,254 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "plotly.subplots.make_subplots",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "graphene.graphene_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "graphene.lattice",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "... |
70715556479 | import sys
sys.path.append('..')
# CBOW 모델 최종 PTB 데이터 학습 코드
import numpy as np
import pickle
from common.trainer import Trainer
from common.optimizer import Adam
from cbow import CBOW
from common.util import create_contexts_target
from dataset import ptb
# 하이퍼파라미터
window_size = 5
hidden_size = 100
batch_size = 100
max... | young-hun-jo/DeepLearningOnlyNumpy | season2/train/train_improved_cbow.py | train_improved_cbow.py | py | 1,123 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "dataset.ptb.load_data",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dataset.ptb",
"... |
26318435394 | """Server notifying of module connections."""
import asyncio
import logging
from typing import Dict, Set
from opentrons.hardware_control.emulation.module_server.models import (
ModuleConnection,
Message,
)
from opentrons.hardware_control.emulation.proxy import ProxyListener
from opentrons.hardware_control.emul... | Opentrons/opentrons | api/src/opentrons/hardware_control/emulation/module_server/server.py | server.py | py | 3,478 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing_extensions.Final",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "opentrons.hardware_control.emulation.proxy.ProxyListener",
"line_number": 19,
"usage_type": "na... |
3399699991 | # Native Python imports
import os
import itertools
# External package imports
import pandas as pd
def average_unemployment_data():
"""Scripting function for averaging unemployment data using the
directories below."""
# Get directories and files
data_dir = "../../unemployment_data/"
unemp_files =... | rmsander/ridesharing-econometrics | python/process_unemployment_data.py | process_unemployment_data.py | py | 1,820 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
9742693053 | import pdftotext
from urllib.request import urlopen,Request
import io
import re
def helper(url):
req = Request(
url=url,
headers={'User-Agent': 'Mozilla/5.0'}
)
remote_file = urlopen(req).read()
memory_file = io.BytesIO(remote_file)
pdf = pdftotext.PDF(memory_file)
content = ''
for data in pdf:
... | ImAvinashSharma/plag-backendPy | pdfReader.py | pdfReader.py | py | 394 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.request.Request",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pdftotext.PDF... |
42449835499 | # This script scrapes statements and speeches from the g77.
# You can run the script and write the contents out to a file
# named g77_statements.csv using the command:
# python scrape_g77_statements.py
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import re, codecs
# Create a headles... | kaneplusplus/akde-pubmed | united-nations/src/scrape_g77_statments.py | scrape_g77_statments.py | py | 2,319 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "re.findall",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "codecs.open",... |
72061438719 | #!/usr/bin/env python
# coding: utf-8
__author__ = "ChenyangGao <https://chenyanggao.github.io/>"
__all__ = ["run"]
from argparse import ArgumentParser, RawTextHelpFormatter
def _init_command_line_options():
parser = ArgumentParser(
description="""
115 分享链接 webdav 挂载工具
源码地址：https://github.com/Chen... | ChenyangGao/web-mount-packs | python-115-share-link-webdav/cli.py | cli.py | py | 6,898 | python | en | code | 31 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 98,
"usage_type": "name"
},
{
"api_name": "util... |
35637041884 | """
check for memorization with min mse value between random sample and training data
"""
import os
import random
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from PIL import Image
from skimage.metrics import mean_squared_error as mse
if __name__ == "__main__":
TRAIN_PATH = '/path/to/... | quental96/learnopencv-ddpm | tests/mse_min.py | mse_min.py | py | 1,206 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_numbe... |
73759782078 | # -*- coding: utf-8 -*-
import os
import pytest
from alchy.model import extend_declarative_base
from intertwine import IntertwineModel, create_app, intertwine_db
from intertwine.trackable import Trackable
from config import ToxConfig
@pytest.fixture(scope="module")
def options():
"""Capture configuration data a... | IntertwineIO/platform | tests/fixtures.py | fixtures.py | py | 2,726 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "config.ToxConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
26841374081 | # ENGR2050_09_jasayles.py
# Ethan Sayles
# April 6, 2017
import numpy as np
from matplotlib import pyplot as plt
from scipy import stats as st
#Class to plot the points and best fit lines of data
class Plot():
def __init__(self, file):
self.file = file
def read_data(self): #Functi... | luna-sayles/engr-2050-project-9-spring-2017 | ENGR2050_09_jasayles.py | ENGR2050_09_jasayles.py | py | 1,708 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.arange",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scipy.stats.linregress",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plo... |
35170843417 | import torch
import unittest
from tests.disc.testing_base import DiscTestCase
class TestDiscBatchNorm(DiscTestCase):
def _test_batchnorm(self, batchnorm_func, inp_test_data=None):
if inp_test_data is not None:
test_data = inp_test_data
else:
test_data = torch.randn([20, 16... | alibaba/BladeDISC | pytorch_blade/tests/disc/ops/test_batchnorm.py | test_batchnorm.py | py | 2,182 | python | en | code | 707 | github-code | 97 | [
{
"api_name": "tests.disc.testing_base.DiscTestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.randn",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tor... |
35277348535 | import requests
import json
gqry = "gremlin=g.V().has('vertex_label','Version').has('pname',within('io.vertx:vertx-core')).in('has_dependency').values('sid')"
payload = {'gremlin':gqry}
url = 'http://bayesian-gremlin-http-saket-graph.dev.rdu2c.fabric8.io/'
r = requests.post(url,data=json.dumps(payload))
sids = r.jso... | manjunath-s/temp-to-test | test-mathematical.py | test-mathematical.py | py | 797 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.post",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
74515634878 | import pygame
import math
import random
#set window
pygame.init()
WIDTH, HEIGHT = 700, 500
window = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption(("HangMan"))
#loading images
images = []
for i in range(7):
image = pygame.image.load(str(i) + ".png")
images.append(image)
#Loading and proc... | IstiaqSiaam/Hangman | main.py | main.py | py | 2,934 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
39121832023 | # Importing built-in modules
from tkinter import *
from PIL import ImageTk
import pygame as p
import sys
# Importing self-defined modules
from Chessopoly import *
import Engine
p.init()
# BACKGROUND MUSICS
def win_music():
'''Plays victpry.mp3 on victory of a team'''
p.mixer.init()... | saifsafsf/Chessopoly | Modules.py | Modules.py | py | 11,696 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music.lo... |
73145629439 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name = 'index'),
path('panel/', views.panel, name = 'panel'),
path('delete/<int:email_id>/', views.delete, name = 'delete'),
path('sendemail/', views.send_mails, name = 'sendemail'),
path('info/', views.info, name = 'info')
] | kdovlet777/generator | taslama/apps/questions/urls.py | urls.py | py | 318 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
32563555485 | import pyodbc
conn = pyodbc.connect('Driver={SQL Server};'
'Server=PC-TP3-02;'
'Database=BR_RK7_MAIN;'
'Trusted_Connection=yes;')
print("Connected")
cursor = conn.cursor()
cursor.execute("select cast(cast(sqlquery as varbinary(max)) as nvarchar(max)) ... | romiy/pyreports | test1.py | test1.py | py | 1,022 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyodbc.connect",
"line_number": 2,
"usage_type": "call"
}
] |
23031298384 | import tkinter as tk
import yahoo_fin.stock_info as si
from yahoo_fin import options
import os
import tkinter.font as tkFont
# HEIGHT will be the height of the frame upon which elements
# will be built
HEIGHT = 350
# WIDTH will be the width of the frame upon which elements
# will be built
WIDTH = 500
# ... | rockywng/BlueChip | BlueChip.py | BlueChip.py | py | 9,596 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
41732151536 | from tools.engine import freeze_bn, custom_voc_evaluate
from utils.backbone_utils import resnet_fpn_backbone
from faster_rcnn import FasterRCNN, FastRCNNPredictor
from faster_polar_rcnn import FasterPolarRCNN
import _utils
from datasets.data import get_dataset
from run import get_transform
from polar_net import PolarNe... | Chrisa142857/PolarNet-GCdet | Faster RCNN/test.py | test.py | py | 2,717 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "torch.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "thop.profile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.set_device",
"l... |
74563146557 | import requests
from pyrogram import Filters, Message
from rosebot import BOT
from rosebot.helpers import ReplyCheck
def define_word_ud(word):
def get_data(word):
r = requests.get(
"http://api.urbandictionary.com/v0/define?term={}".format(word)
)
if r.status_code == 200:
... | h4n1virus/RoseBot | rosebot/modules/ud.py | ud.py | py | 1,906 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rosebot.BOT",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "pyrogram.Message",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "rosebot.BOT.send_message",
... |
7259502894 | from __future__ import print_function
import warnings
from time import gmtime, strftime
import traceback
warnings.simplefilter("ignore", UserWarning) # cuDNN warning
import logging
import formatting
logger_RNN = logging.getLogger('audioSR')
logger_RNN.setLevel(logging.DEBUG)
FORMAT = '[$BOLD%(filename)s$RESET:%(lin... | matthijsvk/multimodalSR | code/audioSR/RNN.py | RNN.py | py | 12,116 | python | en | code | 56 | github-code | 97 | [
{
"api_name": "warnings.simplefilter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.For... |
651060642 | from gi.repository import MyPaint
def brushsetting_from_str(setting_str):
return getattr(MyPaint.BrushSetting, "SETTING_" + setting_str.upper())
def set_base_value(brush, setting_str, value):
setting = brushsetting_from_str(setting_str)
return brush.set_base_value(setting, value)
def get_base_value(brush... | manuq/xsheet | giutils.py | giutils.py | py | 1,451 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "gi.repository.MyPaint.BrushSetting",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.MyPaint",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "doctest.testmod",
"line_number": 55,
"usage_type": "call"
}
] |
27722580380 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 30 08:37:41 2023
@author: admin
"""
import copy,random,pygame
class Aliens(object):
def __init__(self, k,openSpaces,row,column, pixel_w, pixel_h):
self.k=k
self.openSpaces = openSpaces
self.alienSpaces = random.sample(se... | Harshith1234567/Invasion-of-the-Bot-Grabbers | aliens.py | aliens.py | py | 1,846 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.sample",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line... |
11226158153 | import json
class Asset(object):
def __init__(self, name, age):
self.name = name
self.age = age
def serialize(self):
return json.dumps(self, default=lambda o: o.__dict__)
if __name__ == '__main__':
a = Asset('lee', 100.80)
print(a.serialize())
| rayest/python | property/serialize.py | serialize.py | py | 290 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
}
] |
29966529961 | import numpy as np
import torch
import torch.nn.functional
import torchvision.transforms
import PSMNet.models
# global preprocessing transform (from PSMNet Test_img.py)
_normal_mean_var = {'mean': [0.485, 0.456, 0.406],
'std': [0.229, 0.224, 0.225]}
_inference_transform = \
torchvision.transfo... | manoj-rajagopalan/stanford_cs231a_project | psm.py | psm.py | py | 2,494 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "torchvision.transforms.transforms.Compose",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.transforms",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms",
"line_number": 13,
"usage_type"... |
27841572571 | from tensorflow.keras.preprocessing.image import ImageDataGenerator
import pandas as pd
import numpy as np
from data_loaders.utils import _getLabels
from utils.paths import getDataDirectory
import types
def getData(dataset_name, test_dataset_name, label_set, get_batches_with_fake_waves_fn, dim=256):
train_data ... | big-data-lab-umbc/big-data-reu | 2022-projects/team-1/Other-Efforts/Synthetic-data-generation/data_loaders/minimal_load_localization_data.py | minimal_load_localization_data.py | py | 1,743 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "data_loaders.utils._getLabels",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "data_loaders.utils._getLabels",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "data_loaders.utils._getLabels",
"line_number": 14,
"usage_type": "call"
},
... |
23945295912 | import json
import time
import base64
import xml.etree.ElementTree as ET
from pymisp import MISPEvent, MISPObject
misperrors = {'error': 'Error'}
moduleinfo = {'version': 1, 'author': 'Christian Studer',
'description': 'Import from GoAML',
'module-type': ['import']}
moduleconfig = []
mispat... | MISP/misp-modules | misp_modules/modules/import_mod/goamlimport.py | goamlimport.py | py | 10,034 | python | en | code | 310 | github-code | 97 | [
{
"api_name": "pymisp.MISPEvent",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 84,
"usage_type": "name"
},
{
"api_name"... |
30020717366 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 6 15:00:41 2023
@author: maggie clarke
Step #1
Append task data files, perform tSSS & movement compensation
"""
import mne
import os
import os.path as op
from mne.preprocessing import maxwell_filter, compute_average_dev_head_t
from mne.chpi import... | mdclarke/Im-Lab | VML_task_preprocessing_1.py | VML_task_preprocessing_1.py | py | 3,556 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
... |
30514380734 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
#jaiiii sri ram
# In[2]:
#steps
'''
1.input raw data
2.tokenizing
3.textcleaning
- remove punctuations
- remove stopwords
- stemming/lemmatization
4.vectorization
5.modelling
6.accuracy and final model
'''
# # BUSINESS PROBLEM UNDERSTANDING
# In[3]:
... | srichar0n/feedback_sentimental_analysis | sentimental_analysis_feedback.py | sentimental_analysis_feedback.py | py | 4,036 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.... |
11647213090 | #Python 2.x program to transcribe an Audio file
import speech_recognition as sr
from gtts import gTTS
import os
AUDIO_FILE = ("Recording.wav")
# use the audio file as the audio source
r = sr.Recognizer()
with sr.AudioFile(AUDIO_FILE) as source:
#reads the audio file. Here we use record instead of
#listen
a... | Vipulgarg662/Project_data | speech_recog_from_file.py | speech_recog_from_file.py | py | 800 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "speech_recognition.AudioFile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 20,
"usage_type": "attrib... |
2520215214 | from pathlib import Path
import pandas as pd
import nltk
from nltk.corpus import stopwords
from nltk.stem.wordnet import WordNetLemmatizer
import string
# Importing Gensim
import gensim
from gensim import corpora
# to suppress warnings
from warnings import filterwarnings
filterwarnings('ignore')
pr... | utkarshbelkhede/NLP | datasets/topic_modeling_snippet.py | topic_modeling_snippet.py | py | 1,714 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",... |
71831619838 | ##
# CPCantalapiedra 2021
from io import StringIO
import math
import multiprocessing
import sys
import numpy as np
import pandas as pd
from pastml.acr import pastml_pipeline, acr, _validate_input
from pastml.ml import MPPA
from pastml.models.f81_like import F81
##
## ACR functions
##
##
# Compute ACR
def compute_... | Cantalapiedra/delta-py | delta.py | delta.py | py | 10,637 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pastml.ml.MPPA",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pastml.models.f81_like.F81",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pastml.acr.... |
33029283255 | #-*-coding:utf-8-*-
# 游戏主程序
from gui.graph import *
from pygame.locals import *
import pygame
from sys import exit
from tools.game import Game
from gui.graph import Graph
from gui.lost import Lost
from gui.win import Win
from gui.welcome import Welcome
row=4# 行数
gb=Game(row,True)
gb.start_test()
gr=Graph(row)
gr.sta... | lavotap/2048 | 2048.py | 2048.py | py | 1,665 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tools.game.Game",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gui.graph.Graph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gui.welcome.Welcome",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.event.get"... |
72616499839 | from typing import List
from fastapi import Depends, Request, APIRouter
from pydantic import BaseModel
from sqlalchemy.orm import Session
from auth.database import User
from models.models import *
from fastapi.templating import Jinja2Templates
templates = Jinja2Templates(directory="templates")
router = APIRouter()
... | lucorus/fastapi_project | html_templates.py | html_templates.py | py | 2,494 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.Request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "... |
13537072504 | from sklearn import datasets
from sklearn.neighbors import KNeighborsClassifier
da=datasets.load_iris()
print(da.keys())
print(da.DESCR)
s1=da.data
s2=da.target
model=KNeighborsClassifier()
model.fit(s1,s2)
y1=model.predict([[4,5,6,7]])
print(y1)
| rishi4758/machine-learning-programmes-and-projects | programme/classifier using k nearest.py | classifier using k nearest.py | py | 258 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 8,
"usage_type": "call"
}
] |
6003393998 | from PIL import Image
#import skimage as sk
#from skimage import io as sk_io
#import cv2
import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import image as mp_image
import tkinter as tk
from tkinter import filedialog
root = tk.Tk()
root.withdraw()
#file_path = filedialog.askopenfilename()
... | shevious/webstudy | deep/image-handle/file-open.py | file-open.py | py | 1,341 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tkinter.Tk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilenames",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PIL... |
36248083460 | from numpy import genfromtxt
import csv
import numpy as np
import math
import matplotlib.pyplot as plt
import copy
import random
import torch
from torch import nn
import datetime
def read_csv(filename):
with open(filename, newline='') as f_input:
data = []
i=0
for row in csv.reader(f_input... | AhmedMasryKU/Machine-Learning | Assignment 6/hw6.py | hw6.py | py | 15,523 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
13207969886 | import cv2
import imutils
import matplotlib.pyplot as plt
import numpy as np
def midPoint(ptA, ptB):
return ((ptA[0] + ptB[0]) * 0.5, (ptA[1] + ptB[1]) * 0.5)
def preparedImgForCntr(img):
# preparing image for contour detction
gray = cv2.cvtColor(img.copy(), cv2.COLOR_BGR2GRAY) # converting im... | Mostafa-wael/The-blue-square-problem | theBlueSquare.py | theBlueSquare.py | py | 8,882 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.Canny",
... |
26318325104 | from enum import Enum
from typing_extensions import Final
class GCODE(str, Enum):
HOME = "G28.2"
MOVE = "G0"
DWELL = "G4"
CURRENT_POSITION = "M114.2"
LIMIT_SWITCH_STATUS = "M119"
PROBE = "G38.2"
ABSOLUTE_COORDS = "G90"
RELATIVE_COORDS = "G91"
RESET_FROM_ERROR = "M999"
PUSH_SPE... | Opentrons/opentrons | api/src/opentrons/drivers/smoothie_drivers/constants.py | constants.py | py | 2,387 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Final",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Final",
"line_number": 50,
"usage_type": "name"
}
] |
35449258371 | from pydantic import BaseModel, Field
from kubernetes.client.rest import ApiException
class InputSchema(BaseModel):
k8s_cli_string: str = Field(
title='Kubectl Command',
description='kubectl execute a command in pod',
default='kubectl exec {pod_name} {command} -n {namespace}'
)
pod... | unskript/Awesome-CloudOps-Automation | Kubernetes/legos/k8s_kubectl_exec_command/k8s_kubectl_exec_command.py | k8s_kubectl_exec_command.py | py | 1,951 | python | en | code | 258 | github-code | 97 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"... |
23677479508 | from authtools.views import LoginRequiredMixin
from django.core.urlresolvers import reverse_lazy
from django.views.generic import ListView, CreateView
from . import models
class HomeView(LoginRequiredMixin, ListView):
model = models.Expense
def get_queryset(self):
return super().get_queryset().filte... | hackita02/ExMan | expenses/views.py | views.py | py | 756 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "authtools.views.LoginRequiredMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "authtools.views.LoginRequiredMixin",
"line_number": 19,
"usage_type": "nam... |
31224753295 | import sys
import requests
if __name__ == "__main__":
order = sys.argv[1].lower()
user = None
users = None
if order == "get_json":
resp = requests.get("http://localhost:5000/api/users/1")
user = resp.json()
elif order == "list_json":
resp = requests.get("http://localhost:5... | linuxacademy/content-working-with-restful-apis-with-python | json_requests.py | json_requests.py | py | 1,232 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_numb... |
13079108122 | from tkinter import *
from tkinter import messagebox
from tkinter.filedialog import askopenfilename
from pdf2image import convert_from_path
def pdf2img_converter():
try:
# convert_from_path will get the PDF file from the entry widget we created in GUI.
imgs = convert_from_path(str(entry.get()))
... | rohan-kiratsata/img2pdf-converter-tkinter | main.py | main.py | py | 2,769 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pdf2image.convert_from_path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 20,
"usage_type": "name"
},
{
"api_na... |
31440381007 | import numpy as np
import time
from sklearn import preprocessing
import os.path
import re
import pandas as pd
import random
from dtw import dtw
from sklearn.cluster import DBSCAN
import matplotlib.pyplot as plt
from autoencoder import AutoEncoder
from lstm_ad import LSTMAD
from lstm_enc_dec_axl import LSTMED
from rnn_... | hren828/760-research-project-code-and-data | Code/DNN_cluster_noise_experiment.py | DNN_cluster_noise_experiment.py | py | 6,250 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScal... |
14801676521 | import turtle
import math
import random
import datetime
def tleft():
# 左に回転
my_turtle.left(10)
def tright():
# 右に回転
my_turtle.right(10)
def tup():
# スピードアップ
global step
if step <= 10:
step += 1
def tdown():
# スピードダウン
global step
if step > 0:
step -= 1
def is_... | watorutart/python_prog | targetGame.py | targetGame.py | py | 4,107 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "math.sqrt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "turtle.xcor",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 30,
... |
12611443590 | # -*- coding: utf-8 -*-
"""Create instance of vrayscene."""
import os
import json
import appdirs
import requests
from maya import cmds
import maya.app.renderSetup.model.renderSetup as renderSetup
from openpype.hosts.maya.api import (
lib,
plugin
)
from openpype.settings import (
get_system_settings,
g... | vino2307/OpenPype | openpype/hosts/maya/plugins/create/create_vrayscene.py | create_vrayscene.py | py | 9,836 | python | en | code | null | github-code | 97 | [
{
"api_name": "openpype.hosts.maya.api.plugin.Creator",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "openpype.hosts.maya.api.plugin",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "maya.app.renderSetup.model.renderSetup.instance",
"line_number": 4... |
25480925369 | from django import forms
from .models import ColorPickerImageHolder
# В этом разделе создаются формы для html-страниц
# Создаем класс формы, который связан с моделью ColorPickerImageHolder из базы данных
class ImageUploadForm(forms.ModelForm):
class Meta:
# Связываем данную форму с моделью ColorPicker... | IgorVeshkin/Django_colorpicker | ColorPicker_Django/ColorPicker/forms.py | forms.py | py | 1,518 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.ColorPickerImageHolder",
"line_number": 16,
"usage_type": "name"
},
{
"api_name":... |
13723344292 | #!/usr/bin/env python3
import cgi
import cgitb
import sys
import sqlite3
cgitb.enable()
def get_24hour(hour, period):
"""
Converts 12-hour time string to 24-hour
:param hour: string
:param period: either 'AM' or 'PM' string
:return: 24-hour string
"""
if period == "PM":
if hour != ... | colin-pm/indra_server | cgi-bin/schedule_watering.py | schedule_watering.py | py | 3,994 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cgitb.enable",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdout.flush",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"l... |
34149100717 | import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation, rc
from shapely.geometry import Point, LineString
from HamSandwich.GeomUtils import *
def prepare_axis(min_x=-10,max_x=10,min_y=-10,max_y=10):
plt.grid(True,which='major')
ax = plt.gca()
min_x = int(min_x)
max... | samsledje/HamSandwichViz | HamSandwich/PlotUtils.py | PlotUtils.py | py | 3,228 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.grid",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.gca",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotli... |
7140193371 | from __future__ import (
annotations,
)
import hashlib
import hmac
from io import (
BytesIO,
)
from typing import (
Generic,
)
from btctoy.codec import (
encode_base58_checksum,
)
from btctoy.crypto.prime import (
is_prime,
)
from btctoy.crypto.types import (
FieldElementT,
)
# Secp256k1 ECDS... | Damag3dRoot/projectcrypto | src/btctoy/crypto/__init__.py | __init__.py | py | 13,793 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "btctoy.crypto.types.FieldElementT",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "hashlib.new",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "hashlib.... |
38838343642 | from django import forms
from .models import *
from .widget import *
from django.utils.translation import gettext_lazy as _
class EngagementForm(forms.ModelForm):
class Meta:
model = Engagement
fields = ['provider', 'parent', 'start_date',
'time_code', 'fye', 'type']
w... | rgienko/tande | app/forms.py | forms.py | py | 3,648 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "dj... |
9693643552 | import numpy as np
from joblib import Parallel, delayed
from scipy.interpolate import interp1d
from scipy.special import erf, erfinv
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils.validation import FLOAT_DTYPES, check_array, check_is_fitted
class GaussRankScaler(BaseEstimator, Transformer... | aldente0630/gauss-rank-scaler | gauss_rank_scaler.py | gauss_rank_scaler.py | py | 5,590 | python | en | code | 62 | github-code | 97 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sklearn.utils.validation.check_array",
"line_number": 66,
"usage_type": "call"
}... |
6218470287 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
from scipy.stats import binom
from scipy.stats import poisson
# In[2]:
def combinations(n, k):
return (np.math.factorial(n)/(np.math.factorial(k)*np.math.factorial(n-k)))
# In[3]:
p1 = binom.pmf(0,5000,0.0004)
# In[... | NikitaX007/Math_sem_2 | Task_2.py | Task_2.py | py | 956 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "numpy.math.factorial",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.math",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats.binom.pmf",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.stat... |
29883973899 | def euclid_minus(x,y):
while (y):
if x>y:
x,y=y,x-y
else: x,y=y-x,x
return x
def euclid_div(x,y):
while(y):
x,y=y,x%y
return x
def chance(a,b):
from fractions import Fraction
cnt=0
for i in range(a+1,b+1):
res=[]
for j in range(1,i+1):
... | seungyeonhdata/TIL | PythonBasic/py/day26practice.py | day26practice.py | py | 717 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fractions.Fraction",
"line_number": 23,
"usage_type": "call"
}
] |
41622590519 | import base64
import logging
import os
import subprocess
import sys
import tempfile
import unittest
from PIL import Image
from PIL import ImageChops
import z3c.rml.tests
from z3c.rml import rml2pdf
LOG_FILE = os.path.join(os.path.dirname(__file__), 'render.log')
def gs_command(path):
return ('gs', '-q', '-sNO... | zopefoundation/z3c.rml | src/z3c/rml/tests/test_rml.py | test_rml.py | py | 6,051 | python | en | code | 97 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"li... |
3933008552 | '''
Airmass related funcitons.
Don't you think these must be implemented to astropy...?
'''
from warnings import warn
import numpy as np
from astropy.io import fits
from astropy import units as u
from astropy.coordinates import AltAz, EarthLocation, SkyCoord
from astropy.io.fits import Card
from astropy.time import T... | ysBach/ysfitsutilpy | ysfitsutilpy/airmass.py | airmass.py | py | 14,898 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "numpy.cos",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "astropy.time.Time",
"line_numb... |
5147895986 | '''
Created on Jan 24, 2019
@author: GANESHRAM KANAKASABAI
'''
from labs.common import ConfigUtil
from labs.common import ConfigConst
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
'''
creating a class smtpClientConnector
'''
class SmtpClientConnector(obje... | GANESHRAMKANAKASABAI1996/CONNECTED-DEVICES-_PYTHON | apps/labs/module02/SmtpClientConnector.py | SmtpClientConnector.py | py | 2,137 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "labs.common.ConfigUtil.ConfigUtil",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "labs.common.ConfigUtil",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "labs.common.ConfigConst.ConfigConst",
"line_number": 27,
"usage_type": "attribut... |
72561932160 | import os
from collections import OrderedDict
from configparser import RawConfigParser
from importlib.metadata import PackageNotFoundError, version
from django.core.checks import Error
from df_config.checks import missing_package, settings_check_results
from df_config.config.dynamic_settings import ExpandIterable
fro... | d9pouces/df_config | df_config/guesses/apps.py | apps.py | py | 7,123 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "configparser.RawConfigParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "df_config.ch... |
32362254762 |
from multiprocessing import Process, freeze_support
import time
import screen
import glob
def main():
freeze_support()
scr = screen.Screen()
scr_t = Process(target=scr.start, args=('test.yaml',))
scr_t.start()
#Test
glob.set_variable('venta', 0)
while True:
time.sleep(.1)
... | checor/Pygame-SSUI | main.py | main.py | py | 469 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "multiprocessing.freeze_support",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "screen.Screen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
40295239570 | import configargparse
import torch
import torchvision
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from sklearn.model_selection import train_test_split
import numpy as np
import json
import os
import matplotlib.pyplot as plt
import tqdm
device = torch.device(
'cuda') if torch... | Ljy2003/SleepStageClassify | transformer.py | transformer.py | py | 4,941 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.device",
... |
32150758893 | # HTMLTestRunner是基于unittest框架的一个扩展，可以自己在网上自行下载
import os
import smtplib
import unittest
import time
from email.header import Header
from email.mime.text import MIMEText
from lib.HTMLTestRunner import HTMLTestRunner
def send_mail(path):
f = open(path,'rb') # 要读的内容 二进制格式
mail_body = f.read() # 读取html报告的内容，作为... | zhangbaosong/Weekend1118 | html_run_all_test_cases.py | html_run_all_test_cases.py | py | 4,914 | python | zh | code | 0 | github-code | 97 | [
{
"api_name": "email.mime.text.MIMEText",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "email.header.Header",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "time.strfti... |
17206305185 | import utility as utl
import torchnet.meter as tnt
import performance_tracker as pt
import checkpoint as ckpt
import summary
import sensitivity_analysis as sa
import collector
import logging
import config
import math
import time
import random
from collections import OrderedDict
from torch.autograd import Variabl... | bwtseng/Object-Detection | train.py | train.py | py | 20,013 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "uti... |
74653653117 | from datetime import datetime, timezone
from random import randint, shuffle
import config
daily_water_consumption_avg = 330
daily_water_consumption_in_percentage = (1.5, 0.5, 0.5, 0.5, 1.0, 2.0, 2.5, 4.0,
6.0, 7.0, 6.0, 7.0, 6.0, 5.5, 4.0, 2.0, 6.0, 7.5, 8.0, 7.5, 5.5, 5.5, 2... | MjStryker/eco-device | src/dev.py | dev.py | py | 3,924 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "config.delay",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
3830336706 | import hashlib
import json
import logging
from decimal import Decimal
from functools import wraps
from typing import Callable, Optional
from django.conf import settings
from django.core.cache import caches
from helpers.json import CustomJSONEncoder
from rest_framework.request import Request
from rest_framework.respons... | icha0s/django-template | {{cookiecutter.project_name}}/app/helpers/cache_decorator.py | cache_decorator.py | py | 4,050 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rest_framework.request.Request",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "rest... |
71057803838 | import sys
import os
import argparse
import time
import torch
import models.losses as ls
#import models.train as tr
from tqdm import tqdm
from typing import Callable, List, Optional, Iterator, Tuple, NamedTuple, Union
import random
from ithemal_utils import *
import training
import pandas as pd
#import utilities as ut... | junshim/ithemal2_js | ithemal_LSTM/run_ithemal.py | run_ithemal.py | py | 5,480 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "training.load_trainer",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "training.load_continue",
"line_number": 104,
"usage_type": "call"
}
] |
31284829015 | import webbrowser
from PySide6 import QtCore, QtWidgets
from mapclientplugins.sparccurationhelperstep.ui_sparccurationhelperwidget import Ui_SparcCurationHelperWidget
from sparc.curation.tools.utilities import convert_to_bytes
from sparc.curation.tools.ondisk import OnDiskFiles
class SparcCurationHelperWidget(QtWid... | mapclient-plugins/mapclientplugins.sparccurationhelperstep | mapclientplugins/sparccurationhelperstep/sparccurationhelperwidget.py | sparccurationhelperwidget.py | py | 1,627 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PySide6.QtWidgets.QWidget",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PySide6.QtWidgets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "mapclientplugins.sparccurationhelperstep.ui_sparccurationhelperwidget.Ui_SparcCurationHelperWidg... |
40571047962 | from dataclasses import field
from rest_framework import serializers
from .models import Chat, Message
from django.contrib.auth.models import User
from django.db import transaction
class ChatViewSerializer(serializers.ModelSerializer):
users = serializers.PrimaryKeyRelatedField(many=True,
que... | burdyniuk/messenger | messenger_backend/chat/serializers.py | serializers.py | py | 2,630 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.PrimaryKeyRelatedField",
"line_number": 8... |
31205530588 | import numpy as np
import matplotlib.pyplot as plt
import glob
import os
import csv
from scipy.signal import savgol_filter
from numpy import mean
txtfiles=[]
def getFiles():
for file in glob.glob("*.txt"):
txtfiles.append(file)
def openFile():
for i in range (txtfiles.__len__()):
print("Pres... | cm2617/ART-authentication-device | signal_processing.py | signal_processing.py | py | 5,810 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.Inf",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "numpy.Inf",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "numpy.Inf",
"line_number"... |
42388780536 | from sqlalchemy_declarative import Person, Base, Address
from sqlalchemy import create_engine
engine = create_engine('sqlite:///sqlalchemy_example.db')
Base.metadata.bind = engine
from sqlalchemy.orm import sessionmaker
DBSession = sessionmaker()
DBSession.bind = engine
session = DBSession()
# Make a query to f... | SergiSM/Raspberry | SQLAlchemy/query.py | query.py | py | 946 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sqlalchemy_declarative.Base.metadata",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy_declarative.Base",
"line_number": 4,
"usage_type": "name"
}... |
32037092897 | #!/usr/bin/env python
import os
import sys
from troposphere import (
Parameter, Template,
Output, GetAtt,
Tags, Join,
Ref, Sub,
FindInMap,
)
from troposphere import (
Equals, Not,
Condition
)
from troposphere.ssm import (
Parameter as SSMParam
)
from troposphere.servicedisco... | lambda-my-aws/cfnmacro-vpc | vpc.py | vpc.py | py | 12,110 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "troposphere.Template",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "troposphere.ec2.VPC",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "troposphere.Tags",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "troposphere... |
22339817744 | from Estimator.geo_estimator import GeoEstimator
import numpy as np
from numpy.linalg import inv
import matplotlib.pyplot as plt
class Circle2D(GeoEstimator):
def __init__(self, x_data, y_data, n):
super().__init__(x_data, y_data, n)
self.num_points_per_model = 3
def find_model(self, sample):... | brachahold/Briefcam_Core_Project | Estimator/circle2d.py | circle2d.py | py | 1,309 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "Estimator.geo_estimator.GeoEstimator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.lin... |
38760053876 | import os
import nmap
print("hello world")
a = [1, 3, 5, 8]
#print(a)
'''
for i in a:
print(i)
a = 2
b = 2
if a == b :
print('equal')
'''
#files = os.system('ls')
#for file in files:
#print(files)
def sum(first, second, **kwargs):
return first + second
#print(dir(os))
#print(sum(2, 5))
'''
class... | susankoju/practice | py/basic.py | basic.py | py | 882 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.system",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "nmap.PortScannerAsync",
"line_number": 81,
"usage_type": "call"
}
] |
20209808581 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 1 16:26:35 2018
@author: user1
"""
import tensorflow as tf
from PIL import Image
import numpy as np
INPUT_SHAPE = (299,299,3)
trainf = tf.python_io.tf_record_iterator("../input_tf/Train-1.tfrecords")
ite = next(trainf)
def augment(image):
im... | meitetsu3/HumanProtain | code/Test.py | Test.py | py | 3,110 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tensorflow.python_io.tf_record_iterator",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.python_io",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.image.random_flip_left_right",
"line_number": 18,
"usage_typ... |
12506555107 | import qrcode
from tempfile import NamedTemporaryFile
from reportlab.lib.pagesizes import letter
from reportlab.lib.units import inch
from reportlab.pdfgen import canvas
# Function to generate a QR code image
def generate_qr_code_image(data, scale):
qr = qrcode.QRCode(
version=1,
error_... | Epic-Fox-1234/PDF-QRCode-Gen | generator.py | generator.py | py | 1,712 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "qrcode.QRCode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "qrcode.constants",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "reportlab.pdfgen.canvas.Canvas",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re... |
23447285368 | """Calculate statistics on simulated example.
This program uses the functions in :file:`get_T.py` to calculate
the t-statistics of 2 arrays. The results are saved in bin.
the files used will be downloaded if they are not in the working directory
of the IPython engines.
"""
from __future__ import print_function
from I... | jesong1126/PermuStat | hpc/parallelsmall.py | parallelsmall.py | py | 1,496 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.arange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "IPython.parallel.Client",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "permustat.perm_t.ge... |
38555691892 | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 10 14:34:25 2023
@author: MICRO
"""
import cv2
from matplotlib import pyplot as plt
import numpy as np
x=np.arange(256)
y=np.sin(2*np.pi*x/50)
y+=max(y)
y_img=np.array([[y[j]*127 for j in range(256)] for i in range(256)],dtype=np.uint8)
plt.imshow(y_img)
img=cv2.imr... | yewinhtet04/IMAGE-with-Python | tuto40fourier_transform.py | tuto40fourier_transform.py | py | 748 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number":... |
70653651520 | import prompter
from pdfminer.high_level import extract_text
from connection import ask
def run():
prompt = """
The following file is a class study plan. Please provide some recommendations considering the following information:
"""
#map subject to subject enum
text = extract_text("api/... | Oscar6647/Stemist-Hack-2.0 | api/fileparser.py | fileparser.py | py | 384 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pdfminer.high_level.extract_text",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "connection.ask",
"line_number": 17,
"usage_type": "call"
}
] |
17084875846 | from config import *
from utilities import *
import random
import tweepy
#driver.get(twitter_url)
products = list( db.products.find( {'published_at': False, 'discount_percentage' : {'$gt': 20} } ).limit(25) )
# personal information
consumer_key =""
consumer_secret =""
access_token =""
access_token_secret =""
# aut... | aashrafh/Electron | twitter.py | twitter.py | py | 1,499 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tweepy.TweepError",
... |
14460011551 |
# coding: utf-8
# In[ ]:
import telebot
import requests as re
import math as m
from telebot import types
from bs4 import BeautifulSoup
# In[ ]:
def ChistoEvents():
from bs4 import BeautifulSoup
import requests
html_doc = requests.get("https://www.2do2go.ru/smr/events/today")
soup = BeautifulSou... | ruslan123332/HackathonSamaraInfo | bot.py | bot.py | py | 7,327 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
73030094399 | from flask_restx.namespace import Namespace
from flask import request
from flask_jwt_extended import jwt_required, get_jwt_identity
from services import compilation_service, check_page
from .utils import OptionsResource
from models import required_query_params
from models.compilation_model import album_model, yt_compi... | kvirikroma/metal-in-blood | apis/compilation_api.py | compilation_api.py | py | 3,912 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask_restx.namespace.Namespace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.compilation_model.album_model",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "models.compilation_model.yt_compilation_model",
"line_number": 20,
... |
32296820467 | #GAME OF LIFE
import os
import copy
import pygame
import module_button
#Display
#------
#Colors
#------
BLACK = (0, 0, 0)
GREY=(50,50,50)
WHITE = (255, 255, 255)
BLUE=(127,255,212)
#--------------
#Box Dimensions
#--------------
WIDTH = 9
HEIGHT = 9
MARGIN = 1
#-----------------
#Button Dimensions
#-----------------
B_... | vaibhav20325/GameOfLife | GameOfLife.py | GameOfLife.py | py | 10,402 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.walk",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number... |
6652453289 | import torch
import torch.nn.functional as F
from torch.autograd import Variable as Var
from tqdm import tqdm
from . import utils
from . import Constants
class Trainer(object):
def __init__(self, args, model, embeddings, vocabs, criterion, optimizer):
super(Trainer, self).__init__()
self.args = ar... | ram-g-athreya/RNN-Question-Answering-Similarity | treelstm/trainer.py | trainer.py | py | 4,448 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.tensor",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.torch.sum",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.torch",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_nam... |
5239167685 | import anndata
import numpy as np
import pandas as pd
import patsy
import random
from scipy.stats import rankdata
from scipy.linalg import svd
def calc_res(X, H):
return X - (H @ X.T).T
def calc_dstat(res, idx):
u, s, v = svd(res)
return s[:idx]**2/np.sum(s[:idx]**2)
def num_sv(adata, model_matrix, meth... | illumination-k/pysva | pysva/num_sv.py | num_sv.py | py | 1,762 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scipy.linalg.svd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line... |
6574935638 | import sys
sys.path.append("..")
from config import load_config
from collections import Counter
def count_objects(model, video_path, config='default.yaml', **kwargs):
"""
Count objects on video, using unique IDs
:param model: model object
:param video_path: path to the video
:param config: confi... | Poseidondon/RailcarTracking | tracker/object_counter.py | object_counter.py | py | 1,309 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "config.load_config",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
... |
4989820856 | #import iso_handling
#import pal5_mock_ps
import scipy
import scipy.signal
import csv
labels=['CFHT','LSST 1-year','LSST 10-year','WFIRST']
colors=['seagreen','firebrick', 'slateblue', 'darkorange']
###################
# Start with CDM-like
dire = '/Users/hendel/projects/streamgaps/streampepper/'
xi_wfirst = scipy.... | davidhendel/forecast | abc_comparison_figures.py | abc_comparison_figures.py | py | 15,347 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scipy.genfromtxt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.genfromtxt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.genfromtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.genfromtxt",... |
6237916264 | import kivy
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.properties import ObjectProperty
from kivy.lang import Builder
from kivy.core.window import Window
# set size of calculator app
Window.size = (400, 600)
# file python will be reading from
Builder.load_file('design.kv')
cla... | dareckandarge/Calculator_App | calcu.py.py | calcu.py.py | py | 6,818 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "kivy.core.window.Window.size",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "kivy.core.window.Window",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "kivy.lang.Builder.load_file",
"line_number": 12,
"usage_type": "call"
},
{
... |
41161155994 | from urllib.request import urlopen
from bs4 import BeautifulSoup
import re
import pymysql
import sys
sys.setrecursionlimit(150000)
conn = pymysql.connect(host='127.0.0.1', user='root', passwd='344126509', db='movie', charset='utf8')
cur=conn.cursor()
pages = set()
start_url='http://www.loldytt.com/'
def save_data(b... | yeehdavid/Thunder_movie_Spyder | spider.py | spider.py | py | 1,349 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen... |
74645456317 | #!/usr/bin/python
import boto3
import os
import requests
import random
import string
from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient
from time import sleep
import sys
import getopt
import json
def startdevice(topicname, thingname):
topicname = topicname
thingname = thingname
#retrieve region from m... | hongpham/Workshop-Protect-your-IoT-fleet | Module 4: Detect a compromised device using device-side metrics/startdevice.py | startdevice.py | py | 4,030 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number"... |
7262521156 | import json
import unittest
from json_formatter import flatten_json
class TestFormatter(unittest.TestCase):
# Should handle all JSON data types
def test_nesting(self):
formatted_json = flatten_json(json.loads("""
{
"user": {
"first": "dominik",
"last... | drastawi/json-flattener | json_formatter_test.py | json_formatter_test.py | py | 1,275 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json_formatter.flatten_json",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json_forma... |
3452935006 | from torch.utils.data import Dataset
import numpy as np
import utils.utils as utils
import h5py
import torch
import torchvision
import os
class BaseDataset(Dataset):
def name(self):
return 'base_dataset'
def __init__(self, config):
self.config = config
self.mode = config.mode
... | AIMLab-UBC/pathGAN | classification/data/base_dataset.py | base_dataset.py | py | 2,876 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "h5py.File",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
6088548638 | import os
import sys
import json
if __name__ == "__main__":
img_dir, meta_file = sys.argv[1], sys.argv[2]
# input.txt
input_txt, img_names = "input.txt", None
with open(input_txt, "w") as f:
for root, dirs, files in os.walk(img_dir, topdown=False):
img_names = files
for... | Joker-co/useful_tools | generate_adela_dataset.py | generate_adela_dataset.py | py | 2,360 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 28,
... |
3532346500 | from src.Team import Team
from src.Fight import Fight
from src.bots.Gauntlet import getGauntlet
from copy import deepcopy
import numpy as np
import time
import csv
import pandas as pd
import os
import threading
from functools import partial
from multiprocessing import Pool, Process
MAX_DEPTH = 2
DATA_PATH = "./data_co... | TylerLott/SAP-analog | src/bots/minmax.py | minmax.py | py | 5,189 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "copy.deepcopy",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "src.Fight.Fight",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_num... |
3803764808 | from django.shortcuts import render
from .forms import df, Pretraga
from .models import Dogadjaji, Prijava, Ocenjivanje, Glasao, Poziv
from korisnici.models import Clanovi
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.urls import reverse
from django.... | maxoo000/RAF2019 | dogadjaji/views.py | views.py | py | 27,058 | python | hr | code | 0 | github-code | 97 | [
{
"api_name": "korisnici.models.Clanovi.objects.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "korisnici.models.Clanovi.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "korisnici.models.Clanovi",
"line_number": 18,
"usage_type": "n... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.