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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
46644261 | import xlrd
CLASSIFICATION_RULES= r"C:\PythonExperiments\ClassificationRules.xlsx"
class ClassificationRules:
rules=[]
path=""
def __init__(self):
self.path = CLASSIFICATION_RULES
self.load_rules_from_excel()
def load_rules_from_excel(self):
workbook = xlrd.open_... | null | classification_rules.py | classification_rules.py | py | 767 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 14,
"usage_type": "call"
}
] |
508307943 | #!/usr/bin/python
'''
Program description: The gate_detector takes in the left camera image, identifies
the 4 corners of the prominant gate and calculates the gate pose
using P3P algorithm.
Author: Swapneel Naphade (snaphade@umd.edu)
version: 2.0
Date: 6/19/19
Change log:
7... | null | scripts/Nodes Not used/gate_detection.py | gate_detection.py | py | 10,873 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv_bridge.CvBridge",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "common_resources.MVA",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "common_resources.MVA",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.exit... |
65329161 | import unittest
from selenium import webdriver
from case.login_in import login_In
import time
from common.util import explicit_wait as etwait,drop_down_menu
from common import settings
settings.create_dir()
pict_path = settings.pictsave_path()
class Extmana(unittest.TestCase):
u"""分机管理"""
@classmethod
de... | null | case/system_management/extmana_case.py | extmana_case.py | py | 5,016 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "common.settings.create_dir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "common.settings",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "common.settings.pictsave_path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
14496370 | #Python libraries that we need to import for our bot
import random
from flask import Flask, request
from pymessenger.bot import Bot
token = "EAANxYyQBarcBAFYe4kHxUDIWMmf1gmRhjIcIMXO4bbjwbPdqpFc2ZBxV9hLVyDpCvx76TtKgVcJuMyMKtGGKJXFhp0fqEoIj8xXMWZBzu9ZBcjDuheujQMlycaL1pdQptcZBO0TMV0ZBXsCdZBeKuigUTjFsgOMbF1oepBU0jFrQZDZD"... | null | start.py | start.py | py | 3,800 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymessenger.bot.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
148062957 | # conduct experiment using data and structured prediction method
import spectralKalmanFilter
import scipy.io as sio
import numpy as np
cropped = sio.loadmat('../hand-written-algebra/pre-process/data/cropped.mat')
cropped = cropped['cropped']
(numObs, obsDim) = cropped.shape
numObs = int(numObs / 2)
# reshape the cro... | null | parse-predict/experiment.py | experiment.py | py | 664 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "spectralKalmanFilter.spectralKalm... |
639014645 | import logging
import socket
from tcp_client_server.proto import server as srv
from tcp_client_server.contexts import stream_socket_control
from tcp_client_server.logging import LOG_CONF
logging.basicConfig(**LOG_CONF)
def server():
sock_init = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
with stream_... | null | server.py | server.py | py | 889 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tcp_client_server.logging.LOG_CONF",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "so... |
184843637 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 22 13:20:58 2019
@author: Administrator
"""
import requests
import pandas as pd
# import json
# import time
# 初始API的URL
url = "https://restapi.amap.com/v3/traffic/status/rectangle?key=98e71c11ba3874e20d70616063ef454c&extensions=all&level=2&rectangle="
# 设定整个网格左下角坐标的经纬... | null | test/road condition(1).py | road condition(1).py | py | 2,427 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 64,
"usage_type": "call"
}
] |
596099161 | """Módulo 'formatter' de georef-api
Contiene funciones que establecen la presentación de los datos obtenidos desde
las consultas a los índices o a la base de datos.
"""
import csv
from flask import make_response, jsonify, Response, request
import geojson
from service import strings
from service import names as N
CSV... | null | service/formatter.py | formatter.py | py | 17,106 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "service.names.ID",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "service.names",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "service.names.STATE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "service.... |
45461225 | import numpy as np
import cv2
from scipy.ndimage.measurements import label
from Vehicle import Vehicle
class VehicleDetection:
def __init__(self,
classifiers,
heatmap_threshold,
debug_mode=False):
self._classifiers = classifiers
self._heatmap_thr... | null | VehicleDetection.py | VehicleDetection.py | py | 7,043 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.copy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_... |
413105047 | #!/usr/bin/env python3
import csv,datetime,sys,re,os
import requests,dateparser,smtplib
import numpy as np
import pandas as pd
import email.message
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
def make_time_url(frequency):
end_time = datetime.datetime.now()
start_time = end_time -... | null | ai/check_rsyslog_error.py | check_rsyslog_error.py | py | 3,469 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.stderr",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datetime... |
538216965 | import numpy as np
import cv2 # OpenCV for perspective transform
# Instantiate a Databucket().. this will be a global variable/object
# that you can refer to in the process_image() function below
# Define a function to convert to rover-centric coordinates
def rover_coords(binary_img):
# Identify nonzero pixels
... | null | code/perception.py | perception.py | py | 7,905 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.absolute",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.float",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"li... |
506282034 | from sys import version_info
from unittest import TestCase
from xml.etree import ElementTree
from pyclarity_lims.entities import ProtocolStep, StepActions, Researcher, Artifact, \
Step, StepPlacements, Container, Stage, ReagentKit, ReagentLot, Sample, Project, Process
from pyclarity_lims.lims import Lims
from tests... | null | tests/test_entities.py | test_entities.py | py | 25,218 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.version_info",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 204,
"usage_type": "name"
},
{
"api_name": "pyclarity_lims.lims.Lims",
"line_number": 209,
"usage_type": "call"
},
{
"api_name": "xml.etre... |
164340516 | import quandl
import pandas as pd
import os
def scrapper():
quandl.ApiConfig.api_key = '4_ERbyf3sSDTz8qsDsoM'
symbol = "ICICIBANK"
DIR = os.getcwd()
nifty=pd.read_csv(DIR+"/Historicaldata/ind_nifty50list.csv")
error=[]
for ele,symbol in enumerate(list(nifty["Symbol"])):
for i in rang... | null | scrapper.py | scrapper.py | py | 845 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "quandl.ApiConfig",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "quandl.get",
"line... |
623681460 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
import uuid
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
... | null | src/device/migrations/0001_initial.py | 0001_initial.py | py | 1,173 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 13,
"usage_type": "ca... |
600516626 | import numpy as np
from skimage import filters
from skimage.feature import corner_peaks
from scipy.spatial.distance import cdist
from scipy.ndimage.filters import convolve
import math
from utils import pad, get_output_space, unpad
import cv2
_COLOR_RED = (255, 0, 0)
_COLOR_GREEN = (0, 255, 0)
_COLOR_BLUE = (0, 0, 255... | null | Lab 3/image_stitching.py | image_stitching.py | py | 20,146 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.sum",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 26,
... |
437247232 | # https://web.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf has the formulae
import numpy as np
import pickle
try:
import modin.pandas as pd
except ModuleNotFoundError:
import pandas as pd
import sys, os
#sys.path.append(os.path.abspath('/home/ashwath/Programs/ArxivCS/hyperdoc2vec_arxivmag'... | null | Evaluation/predict_evaluate_mag50.py | predict_evaluate_mag50.py | py | 22,061 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tqdm.tqdm.pandas",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "nltk.stem.SnowballStemmer",
... |
5108030 | import glob
import os
import cv2
import numpy as np
from skimage.transform import AffineTransform,warp
ratio = 0.98
image_size = 128
x = []
paths = glob.glob('/home/avisek/vineel/data/celebA/img_align_celeba/*')
cnt = 0
cnt1 = 1
for path in paths:
cnt += 1
img = cv2.imread(path)
transform = AffineTransfo... | null | 3in1out/to_npy_celebA.py | to_npy_celebA.py | py | 1,319 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "skimage.transform.AffineTransform",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "skimage.transf... |
366197579 | import pandas as pd
import numpy as np
import os
from multiprocessing import Pool
from collections import OrderedDict
from step1.cal_slope import big3_trend
from step2.build_map import map_maker, make_ans_target
from step3.model_run import model_run
from step3.processing.group_process import group_processing
if __na... | null | map_pipeline.py | map_pipeline.py | py | 6,967 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "step1.cal_slope.big3_trend",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "step1.cal_slope",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "step1.cal_... |
11256205 | """
Created on 2 mai. 2018
@author: jerome
"""
import yaml
import logging
import logging.handlers
import dolibarr_API
import woocommerce_API
import sendMail
class NapProcessor(object):
"""
"""
class CheckError(Exception):
pass
default_root_dir = '../nap.d'
def __init__(self):
... | null | napProcessor.py | napProcessor.py | py | 5,358 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logging.Fo... |
90229633 | from __future__ import annotations
from random import randrange, choices, choice
from pathlib import Path
from collections import namedtuple
import toml
from typing import Dict, List
from .random_name_generator import RandomNameGenerator
from mentormatch.utils.enums import Gender
class RandomApplicantGenerator:
... | null | tests/random_applicant_generator.py | random_applicant_generator.py | py | 6,314 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "toml.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random_name_generator.RandomNameGenerator",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typi... |
537076936 | from utils import log
from utils import current_time
from response import current_user
from response import redirect
from response import login_required
from response import render_template
from model import User
from model import Weibo
from model import Comment
from .index import error
def route_weibo_index(reque... | null | routes/weibo.py | weibo.py | py | 3,678 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "response.current_user",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "model.User.find",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "model.User",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "index.error",
"l... |
237591084 | # -*- coding: utf-8 -*-
#########################################################
# UI of N:1 Schema Designer #
# Imports all wx libraries and creates GUI #
# #
# Authors : Ajinkya #
# Last... | null | UI.py | UI.py | py | 33,693 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wx.Frame",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "wx.ID_ANY",
"line_n... |
178919028 | # -*- coding: utf-8 -*-
from os.path import dirname, isfile, join
import pytest
@pytest.fixture(scope='session')
def client():
from apps import create_app
from apps.db import mongo
# instancia função factory em modo 'testing'
flask_app = create_app('testing')
testing_client = flask_app.test_cl... | null | tests/conftest.py | conftest.py | py | 838 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "apps.create_app",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "apps.db.mongo.db.planets.drop",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "apps.db.mongo.db",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "a... |
414658288 | # -*- coding: utf-8 -*-
# from __future__ import unicode_literals
from __future__ import division
from scipy.stats import norm, dweibull, weibull_max, weibull_min, invweibull, exponweib
from odoo import models, fields, api
from odoo.exceptions import UserError, ValidationError
from pyecharts import Overlap, Bar, Line, ... | null | sa_addons/spc/models/tor_ang_spc.py | tor_ang_spc.py | py | 16,364 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Datetime",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "odoo... |
496765232 | from django.conf.urls import url
from . import views
app_name = 'material'
urlpatterns = [
# ex: /material/
url(r'^$', views.IndexView.as_view(), name='index'),
# ex: /material/5/
url(r'^(?P<pk>[0-9]+)/$', views.DetailView.as_view(), name='detail'),
# ex: /material/add
url(r'add/$', views.Mat... | null | materials/urls.py | urls.py | py | 490 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.... |
402147289 | import sys
from PyQt5 import QtCore, QtGui
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import(
QMainWindow,
QApplication,
QLabel
)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.label = QLabel()
canvas = QtGui.QPixmap(400, 300)
canvas.... | null | customWidgets/cuwid1.py | cuwid1.py | py | 665 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QPixmap",
"line_number": 16,
"usage_type": "call"
},
{
"api_name":... |
155651905 | import requests
from bs4 import BeautifulSoup
def crawl():
r=requests.get("https://search.naver.com/search.naver?sm=top_sug.pre&fbm=1&acr=1&acq=%EB%AF%B8%EC%84%B8%EB%A8%BC%EC%A7%80&qdt=0&ie=utf8&query=%EB%AF%B8%EC%84%B8%EB%A8%BC%EC%A7%80")
c=r.content
#print(c)
html = BeautifulSoup(c,"html.parse... | null | WebCrawling/dustInformation.py | dustInformation.py | py | 1,350 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
470481188 | # Copyright (c): Wenyi Tang 2017-2019.
# Author: Wenyi Tang
# Email: wenyi.tang@intel.com
# Update Date: 2019/4/3 下午5:03
from functools import partial
from pathlib import Path
import h5py
import numpy as np
from . import _logger, parse_index
from ...Util.ImageProcess import array_to_img
from ...Util.ImageProcess... | null | VSR/DataLoader/Parser/hdf.py | hdf.py | py | 3,251 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 57... |
490594401 | import pickle
import re
import string
import os
import random
from utils import load_stuff,\
spacy_docs_dir, spacy_docs_list, \
load_sent_labels, filter_sent, \
calc_nc_avg_tfidf, stopwords_set
def load_data_label_for_CNN(file_id):
with open(os.path.join(spacy_docs_dir, spacy_docs_list[file_id]), "rb"... | null | src/step6_get_sent_dataset_for_CNN.py | step6_get_sent_dataset_for_CNN.py | py | 1,139 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.spacy_docs_dir",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "utils.spacy_docs_l... |
642671910 | from enum import Enum
class Direction(Enum):
NONE = 1
UP = 2
DOWN = 3
LEFT = 4
RIGHT = 5
#class Keys(Enum):
# ESC = 27
# UP = 273
# DOWN = 274
# RIGHT = 275
# LEFT = 276 | null | Tasks/Aliens/utils/enums.py | enums.py | py | 206 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "enum.Enum",
"line_number": 3,
"usage_type": "name"
}
] |
158785027 | import pdb
import sys
import os.path
import math
import numpy as np
import torch
import torch.nn as nn
import torchvision.transforms as transforms
from torch.autograd import Variable
import torchvision.models.vgg as models
from PIL import Image
from os import path
from itertools import islice
import pickle
class Im... | null | grasp_category_dataset.py | grasp_category_dataset.py | py | 6,555 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.ceil",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": ... |
386769570 | from datetime import datetime as dt
# POSSIBLE USER SETTINGS
MAX_HOURS = 9999
DIR = '/Users/paulpries/Documents/bc_forecasting/'
WGRIB2 = '/opt/local/bin/wgrib2'
import platform
if platform.system() == 'Windows':
FILE_SPLITTER = '\\'
else:
FILE_SPLITTER = '/'
# NON USER SETTINGS
VERSION = 1.0
BIAS_DAYS = 1... | null | src/config/general_settings.py | general_settings.py | py | 661 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "platform.system",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 33,
"usage_type": "call"
}
] |
93747085 | '''
Python based X-Ray image generator
Author : Pranjal Joshi
Contact : pranjaljoshi@bel.co.in
Date : 13/03/2018
'''
from datetime import datetime
from datetime import timedelta
import time
import pytz
import os
import sys
import re
from tkinter import *
from tkinter.filedialog import ... | null | Fuze-Xray/Time_Xray.py | Time_Xray.py | py | 16,679 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"... |
570269303 | # The metaparameters can be found at the beginning of the code, below imports.
# Fine-tune them for a different behaviour.
#KERAS
from keras.models import Model
import keras.backend as kback
from keras.layers import Input, Convolution2D, Dense, Flatten, Lambda, Multiply
from keras.optimizers import RMSprop
from keras.... | null | code/without_memory/agent.py | agent.py | py | 16,034 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.backend.image_data_format",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
552611734 | # encoding:utf-8
"""
操作js
driver.execute_script(js_str)
"""
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
driver = webdriver.Chrome(r"C:\Users\19663\Desktop\chromedriver.exe")
driver.get("https://www.baidu.com")
driver.find_element_by_id("kw").send_keys("hello")
driver... | null | selenium_test/selenium_test_8.py | selenium_test_8.py | py | 474 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 18,
"usage_type": "attribute"
... |
311328845 | from config import ADMIN_ID
from misc import dp
from alchemy import Person, TG_Account, DB
from aiogram import types
import asyncio
@dp.message_handler(user_id=ADMIN_ID, commands="add_manile")
async def add_me_for_test(message: types.Message):
"""проверяет, есть ли пользователь НИКИТА, если нет, то добавляет его ... | null | handlers/Handlers_not_ready/handler_5_test.py | handler_5_test.py | py | 1,073 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "aiogram.types.Message",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "misc.dp.message_handler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "misc.dp... |
146677868 | """
Created on October 2019
Author : Marta CICCARELLA
"""
from processing import *
from model import *
from training import *
from sys import argv
import numpy as np
from sklearn.model_selection import train_test_split
# set arguments
epochs = int(argv[1])
n_proteins = int(argv[2])
if __name__=="__main__":
p... | null | src/deepdrug3d.py | deepdrug3d.py | py | 1,943 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.repeat",
"line_number": 49,
... |
534497828 | #
# tests/test_http_responder.py
#
import asyncio
from growler.http.responder import GrowlerHTTPResponder
class mock_protocol():
def __init__(self, data=[]):
self.loop = asyncio.get_event_loop()
self.http_application = None
class mock_parser():
def __init__(self, parent):
self.p... | null | tests/test_http_responder.py | test_http_responder.py | py | 1,025 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "growler.http.responder.GrowlerHTTPResponder",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 39,
"usage_type": "call"
},
... |
182576734 | import datetime
import facebook
import hashlib
import json
import re
from django.conf import settings
from django.db import models
from django.contrib.auth.models import User
from django.contrib.gis.db.models import GeoManager
from django.contrib.localflavor.us.models import USStateField
from django.core.cache import ... | null | rah/models.py | models.py | py | 13,188 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.today",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dja... |
405889288 | """
hint.py - Hint Module
"""
import pytz
from django.conf import settings
from main.module import command, ex
from main.models import Record
CMD_STR = "history"
LOCAL_TZ = pytz.timezone(settings.TIME_ZONE)
@ex
@command(CMD_STR)
def record(goobo, reply_to, command_str):
"""
Given a keyword, return the re... | null | goobo/main/record.py | record.py | py | 1,348 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytz.timezone",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.TIME_ZONE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name":... |
39273328 | # coding=utf-8
import unittest
from threading import Thread
import requests
from time import sleep
from simtip.simtip import main
DO_CONTINUE = True
def kill_servers_soon():
global DO_CONTINUE
DO_CONTINUE = False
sleep(5)
requests.post("http://localhost:5678/shutdown")
def do_continue():
global... | null | test/main.py | main.py | py | 636 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "simtip.simtip.main",
... |
456927842 | # import system module
import sys
import os
# import some PyQt5 modules
from PyQt5.QtWidgets import QApplication, QWidget, QMessageBox
from PyQt5.QtGui import QImage, QIcon, QPixmap
from PyQt5.QtCore import QTimer
from tkinter import simpledialog, Tk
from ui_main_window import *
from face_lib import *
from worker imp... | null | main_window.py | main_window.py | py | 7,727 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QTimer",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PyQt5.Q... |
496178096 | '''
This code reads in a batch of very high resolution spectra and degrades them
to a lower resolution, assuming a Gaussian line-spread function. The main use
case is that we produce synthetic spectra (from an updated version of the Kurucz
line list by default) at R~300,000 and need to convolve them the resolution of ... | null | train_NNs/convolve_highrez_spectra_to_given_R.py | convolve_highrez_spectra_to_given_R.py | py | 3,977 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.load_wavelength_array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.diags",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "scipy.spars... |
619279539 | import json
import sys
from os import path
import vk
from PyQt5 import QtGui
from PyQt5.QtCore import QRegExp, QObject, pyqtSignal, QEventLoop
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.uic import loadUi
import google_export
import vktests
class Window(QMainWindow):
def __init__(self, pa... | null | main.py | main.py | py | 9,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QPixmap",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "vktests.save_to_txt"... |
111012944 | import sqlite3
# экспорт
con = sqlite3.connect('E:\\My Project\\Dg\\first_data\\DB_parser.db')
cur = con.cursor()
name = cur.execute('SELECT DISTINCT Shpon FROM Global_doors')
f =[]
# Импорт
exp = sqlite3.connect('E:\\My Project\\Dg\\main_data.db')
for row in name:
expcur = exp.cursor()
rec =expcur.execute ('I... | null | first_data/Shpon.py | Shpon.py | py | 409 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
448515794 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
from matplotlib import pyplot as plt
import torch.nn.functional as F
import os
import argparse
from PIL import Image
# ours
fro... | null | test_new.py | test_new.py | py | 3,333 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
367740221 | # examples/Python/Advanced/colored_pointcloud_registration.py
# https://www.programmersought.com/article/75924798173/
import numpy as np
import open3d as o3d
#Read the ply point cloud file in the computer
source = o3d.io.read_point_cloud("pack1.ply") #source is the point cloud that needs to be registered
target = o3... | null | icp/main2.py | main2.py | py | 1,978 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "open3d.io.read_point_cloud",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "open3d.io",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "open3d.io.read_point_cloud",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ope... |
405436172 | #!/usr/bin/env python
from googleapiclient import discovery
from googleapiclient import errors
from oauth2client.client import GoogleCredentials
from oauth2client.service_account import ServiceAccountCredentials
import argparse
from random import choice
from sys import exit
from time import sleep
from os import enviro... | null | modules/provision_gcp_project_wrapper.py | provision_gcp_project_wrapper.py | py | 8,630 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "logging.config.dictConfi... |
520367435 | #!/usr/bin/env python
# These two lines are only needed if you don't put the script directly into
# the installation directory
from simplestyle import *
import inkex
import sys
import pystache
import string
import json
sys.path.append('/usr/share/inkscape/extensions')
# We will use the inkex module with the predefine... | null | jmerge.py | jmerge.py | py | 2,125 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "inkex.Effect",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "inkex.Effect.__init__... |
417821247 | from TimeIt import TimeIt
from PlanDataObject import PlanDataObject
from EquipmentDataObject import EquipmentDataObject
from FundingDataObject import FundingDataObject
from ExpEval import ExpEval
import random
import math
import array as arr
import nvsympy as nsp
import numpy as np
import sympy as sp
from nvtranslate ... | null | Solver.py | Solver.py | py | 13,830 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sympy.lambdify",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "TimeIt.TimeIt",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_nu... |
612770548 | #import chatbot
import pandas as pd
import numpy as np
import pickle
import operator
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split as tts
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.preprocessing import LabelEncoder as LE
from sklearn.metrics.pair... | null | FAQ bot/finalchatbot.py | finalchatbot.py | py | 2,502 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.LancasterStemmer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 35,
"usage_type": "call"
},
{
"api_n... |
421837471 | from flask import g, render_template, redirect, url_for, current_app, request
from maintain_frontend.decorators import requires_permission
from maintain_frontend.constants.permissions import Permissions
from maintain_frontend.add_lon.validation.servient_structure_position_validator \
import ServientStructurePositio... | null | maintain_frontend/add_lon/servient_structure_position.py | servient_structure_position.py | py | 3,596 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.g.session",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.current_app.logger.info",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.curr... |
204685684 | from django.views.generic.edit import FormView
from django.views.generic import TemplateView
from api.forms import PersonForm
from django.urls import reverse_lazy
import requests as rq
import json
api_endpoint = 'http://localhost:8000/api/v1/person/'
class CreatePersonView(FormView):
template_name = 'front/creat... | null | front/views.py | views.py | py | 1,388 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.views.generic.edit.FormView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "api.forms.PersonForm",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 14,
"usage_type": "call"
},
{
"... |
37510296 | # -*- coding: utf-8 -*-
import datetime
import matplotlib.pyplot as plt
from Stock import Stock
from StockProduct import StockProduct
from InterestProduct import InterestProduct
start = datetime.datetime(2002, 1, 1)
end = datetime.datetime(2013, 12, 28)
start_product = "2010-01-01"
end_product = "2013-10-01"
plot_st... | null | etude_product_database.py | etude_product_database.py | py | 1,544 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "StockProduct.StockProduct",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Stock.Sto... |
158374102 |
import os
import sys
import traceback
import logging
# try:
# import _winreg as winreg
# except:
# import winreg
import win32api
#import winsys
from winsys import accounts, registry, security
from winsys.registry import REGISTRY_ACCESS
# Monkeypatch to force stuff in the registry class to do 64 bit regi... | null | client_tools/svc/mgmt_RegistrySettings.py | mgmt_RegistrySettings.py | py | 10,292 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "winsys.registry.Registry",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "winsys.registry",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "winsys.registry.REGISTRY_ACCESS.KEY_READ",
"line_number": 18,
"usage_type": "attribute"
}... |
367806966 | import requests
import pandas as pd
from pandas import DataFrame
import numpy as np
import sqlite3
from os import path
league_id = 331933
year = 2019
#espn API ul
url = f'https://fantasy.espn.com/apis/v3/games/ffl/leagueHistory/{league_id}?seasonId={year}'
resp = requests.get(url)
d = resp.json()[0]
... | null | espn_api.py | espn_api.py | py | 3,734 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
372562253 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 4 00:52:15 2019
@author: ibrahim mert oğurcu
"""
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
data = pd.read_csv("linear.csv") # Verimizi okuyalım
print(data)
x = data["Square-meter"]
y ... | null | Linear-Regression-Numpy.py | Linear-Regression-Numpy.py | py | 971 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.as_matrix",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pand... |
363214332 | from pathlib import Path
from typing import TYPE_CHECKING
import pytest
from ovgenpy.channel import ChannelConfig
from ovgenpy.outputs import RGB_DEPTH, \
FFmpegOutput, FFmpegOutputConfig, FFplayOutput, FFplayOutputConfig
from ovgenpy.ovgenpy import default_config, Ovgen
from ovgenpy.renderer import RendererConfi... | null | tests/test_output.py | test_output.py | py | 3,678 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "ovgenpy.ovgenpy.default_config",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ovgenpy.renderer.RendererConfig",
"line_number": 16,
"usage_type": "call"
},
{
... |
492079455 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program 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 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | null | scripts/addons/Tila_Config/copy_vert_ids.py | copy_vert_ids.py | py | 15,304 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bpy.types",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "bpy.types",
"line_number": 73,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.FloatProperty",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "bpy.props",
... |
107171982 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 11 21:03:13 2021
@author: Ahmed Fayed
"""
# data analysis and wrangling
import pandas as pd
import numpy as np
import random as rnd
# Visualization
import seaborn as sns
import matplotlib.pyplot as plt
# machine learning
from sklearn.linear_model import LogisticRegr... | null | Titanic.py | Titanic.py | py | 3,453 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "seaborn.FacetGrid",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.h... |
565411749 | import csv
from urllib.parse import urljoin
from flask import json
import datetime
from datetime import date
from dateutil.relativedelta import relativedelta
class Basic_Arguments:
def __init__(self):
pass
def get_dates_and_output_file(self):
today = datetime.datetime.now()
last_month ... | null | app.py | app.py | py | 6,560 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "dateutil.relativedelta.relativedelta",
"line_number": 14,
"usage_type": "call"
},
{
... |
180834778 | from __future__ import absolute_import
import tempfile
import logging
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import json
from dmutils import request_id
from dmutils.logging import init_app, RequestIdFilter, JSONFormatter, CustomLogFormatter
from dmutils.logging import LO... | null | tests/test_logging.py | test_logging.py | py | 5,001 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dmutils.logging.RequestIdFilter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dmutils.request_id.init_app",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dmutils.request_id",
"line_number": 21,
"usage_type": "name"
},
{
"ap... |
261721633 | import os
import math
import pandas as pd # Gerekli kütüphaneleri import ettik
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import ... | null | k_enyakin.py | k_enyakin.py | py | 4,047 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.isfile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.access",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.R_OK",
"line_number": 41... |
299781520 | """Definition of the ClinicalTrials content type
"""
from zope.interface import implements, directlyProvides
from Products.Archetypes import atapi
from Products.ATContentTypes.content import base
from Products.ATContentTypes.content import schemata
from plone.ClinicalTrials import ClinicalTrialsMessageFacto... | null | plone/ClinicalTrials/content/clinicaltrials.py | clinicaltrials.py | py | 5,713 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Products.ATContentTypes.content.schemata.ATContentTypeSchema.copy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Products.ATContentTypes.content.schemata.ATContentTypeSchema",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "Products.ATCo... |
13339350 | from datetime import datetime, timedelta
import airflow
from airflow import DAG
from airflow.hooks.postgres_hook import PostgresHook
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
default_args = {
"owner": "airflow",
"depend_on_past": "Fa... | null | dags/mydag.py | mydag.py | py | 1,075 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "airflow... |
541057019 | import time
import re
import requests
import html
import csv
import re
import requests
import os
import pandas as pd
# Nom du fichier de sauvegarde
saveAs = 'contact_avocats_marseille_essaie.xlsx'
# Récupération du path du fichier
script_dir = os.path.dirname(__file__)
requests_headers = {'User-Agent':"(Mozilla/5.0 ... | null | scrapper_4/scrapper.py | scrapper.py | py | 2,638 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "html.unescape",
"line_n... |
621146347 | from django.shortcuts import render
import requests
def home(request):
req=requests.get('https://api.kawalcorona.com/indonesia/provinsi')
data=req.json()
return render (request,'TestApi/home.html',{
"name" : data,
})
| null | TestApi/views.py | views.py | py | 242 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
}
] |
201012296 | '''
Copyright (c) 2014, UChicago Argonne, LLC
See LICENSE file.
'''
from setuptools import setup, find_packages
import minixs
# read the contents of your README file
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md')) as f:
long_description =... | null | pypi_install_script/minixes2-0.8.3.tar/setup.py | setup.py | py | 1,172 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
193264184 | import math
import pandas as pd
import numpy as np
import sys
import os
lib_path = os.path.abspath(os.path.join('.'))
sys.path.append(lib_path)
import config
def tau_model(file, config):
hbar = 1.054571726E-34
k_B = 1.3806488E-23
m_0 = 1.6605E-27
mass = config.configs['mass']
mass_ave = sum(mass) ... | null | opt/thermalConductivity/klemens_model-qeinput.py | klemens_model-qeinput.py | py | 4,279 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_nu... |
580313570 | # ------------------------------------------------------------------------------
# Name: imdb-lookup-folder
# Purpose:
#
# Author: manoj mj
#
# Created:
# Copyright: (c) www.manojmj.com
# Licence:
# ------------------------------------------------------------------------------
import urllib
i... | null | imdb-folder.py | imdb-folder.py | py | 5,904 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib.urlopen",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"l... |
486286493 | # -*- coding: utf-8 -*-
from __future__ import division , print_function
import sys
import os
import glob
import numpy as np
from keras.preprocessing import image
from keras.applications.imagenet_utils import preprocess_input, decode_predictions
from keras.models import load_model
from keras import back... | null | web.py | web.py | py | 3,420 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.get_default_graph",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flas... |
74331958 | import pandas as pd
from wordcloud import WordCloud, STOPWORDS
import re
import datetime
import matplotlib.pyplot as plt
from collections import Counter
from pathlib import Path
data_folder = Path(r"F:/FOR KION")
la_tweets = data_folder / "airbnb_geo_labeled.csv"
tweetcorpus = pd.read_csv(la_tweets, index_co... | null | Wordcloud_helpers.py | Wordcloud_helpers.py | py | 3,231 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
11594280 | import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets, models, transforms
from torch.optim import lr_scheduler
import os
import time
import copy
import cv2
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
im... | null | fire_eye/classifier/classifier.py | classifier.py | py | 12,057 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.random_split",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 49,
"usage_type": "call"
},
{
"api_na... |
516615043 | import requests
from bs4 import BeautifulSoup
import re
import json
def get_user():#验证
reponse = s.get(url, auth=('1024847824@qq.com', '99271727f'))
soup = BeautifulSoup(reponse.text, 'html.parser')
p = r'"username":"(.+)".+'
p1 = r'(.+)", "urlname".+'
get = re.findall(p, soup.text)
get1 = re.f... | null | 杂项/花瓣网模拟登陆.py | 花瓣网模拟登陆.py | py | 1,299 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_n... |
353428114 | from random import randint
import pytest
from starlette.applications import Starlette
from starlette.endpoints import HTTPEndpoint
from starlette.responses import JSONResponse
from starlette.routing import Mount, Route
from starlette.staticfiles import StaticFiles
from starlette.testclient import TestClient
from spec... | null | tests/test_plugin_starlette.py | test_plugin_starlette.py | py | 4,473 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "spectree.SpecTree",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "starlette.endpoints.HTTPEndpoint",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "starlette.responses.JSONResponse",
"line_number": 46,
"usage_type": "call"
},
{
... |
371206831 | import configparser
import os
import traceback
import logging
from collections import defaultdict
import subprocess
import json
from pathlib import Path
from typing import List, NamedTuple, Tuple, Set, Dict
from typing import Optional, Any, Union, Iterable
from .cmd import run_cmd
from .const import mydir
from .typing... | null | lilac2/nvchecker.py | nvchecker.py | py | 5,821 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "const.mydir",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "const.mydir",
"line_nu... |
316797063 | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 14 11:18:48 2019
@author: Yehuda
"""
import numpy as np
from sklearn.datasets import load_digits
import matplotlib.pyplot as plt
sigmoid=lambda x: 1/(1+np.exp(-x))
der_sigmoid=lambda x:sigmoid(x)*(1-sigmoid(x))
# in this algoritm my starting point i... | null | CNN/cnn.py | cnn.py | py | 3,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.exp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
... |
491497666 | from decorators import settings, override_settings
from analyser import Analyser
from conf.default_config import data
from pynput.keyboard import Key
@override_settings({'commands': {'exit': '\ALT+\F4'}})
def test_by_default_should_override_only_active_settings():
assert settings.active()['commands']['exit'] == '\... | null | tests/test_analyser/test_analyser.py | test_analyser.py | py | 4,505 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "decorators.settings.active",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "decorators.settings",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "decorators.override_settings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name... |
9805695 | """
setup.py 辅助函数
auto_name 自动获取当前目录为包名
其他 暂时无用
"""
import io
import os
import datetime
def auto_name(setup_file):
currpath = os.path.dirname(os.path.abspath(setup_file))
return os.path.basename(currpath)
def auto_package_data(setup_file, name):
currpath = os.path.dirname(os.path.abspath(setup... | null | qutils/qutils/misc.py | misc.py | py | 4,078 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"... |
49744346 | from django.test import TestCase, Client
from django.urls import reverse
class ViewsTest(TestCase):
def setUp(self):
self.client = Client()
def test_index(self):
response = self.client.get(reverse('index'))
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(res... | null | project/foolinterview/main/tests.py | tests.py | py | 637 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.... |
503782718 | import catboost
import os
import timeit
CUR_DIR = os.path.dirname(os.path.abspath(__file__))
def get_model(classes=None, iterations=30):
if len(classes) == 1:
loss_function = 'Logloss'
else:
loss_function = 'MultiClass'
model = catboost.CatBoostClassifier(
l2_leaf_reg=7,
... | null | 08-unseen-sc02/train.py | train.py | py | 1,395 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "catboost.CatBoostClassifier... |
221566223 | from django.contrib import admin
from django.core.exceptions import ValidationError
from django import forms
from .models import Redirect
class RedirectModelForm(forms.ModelForm):
class Meta:
model = Redirect
fields = (
'site', 'from_url', 'to_url', 'http_status', 'status',
... | null | robustredirects/admin.py | admin.py | py | 1,153 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Redirect",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.core.ex... |
320094842 | import discord
from discord import utils
from discord.ext import commands
class ModerationCog(commands.Cog):
def __init__(self, client: commands.Bot):
self.client = client
# Clear
@commands.command(
name='clear',
aliases=['purge'],
usage='[amount=10] [channel]',
d... | null | Cogs/moderation.py | moderation.py | py | 4,942 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 8,
"usage_type": "attribute"
},
{
"api... |
584762173 | import speech_recognition as sr
import pyttsx3
import pywhatkit
listener = sr.Recognizer()
engine = pyttsx3.init()
class Voice():
@classmethod
def messague(self):
print("hola star")
@classmethod
def voz(self):
voices = engine.getProperty('voices')
res = Voice()
res.messague() | null | .history/project/voice/voice_20210404084555.py | voice_20210404084555.py | py | 310 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 6,
"usage_type": "call"
}
] |
26236016 | from bs4 import BeautifulSoup
import requests
import os
import re
import sys
import multiprocessing
import time
import psutil
import os
import socket
import gevent
from gevent import monkey
monkey.patch_all()
header = {'Referer': 'https://asiansister.com/'}
socket.setdefaulttimeout(5)
def pictcount()... | null | downpic.py | downpic.py | py | 4,132 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "socket.setdefaulttimeout",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.t... |
62037671 | import socket
import json
import argparse
from pathlib import Path
# python file_receiving_udp.py --ip 192.168.43.26 --port 5001
parser = argparse.ArgumentParser(description='Receiving JSON data through UDP')
parser.add_argument("--file",
dest="out_file",
required=False,
... | null | Img_Processing_Part/file_transfer/file_receiving_udp.py | file_receiving_udp.py | py | 2,019 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_... |
110244612 | from flask import request, jsonify
from config import CONFIG
from wordStore.controller.word_list import range_iter_words
from . import API
@API.route('/wordlist/<category>', methods=['GET'])
def range_words(category):
args = request.args
start = args['start']
end = args['end']
# validate args
tr... | null | wordStore/api/word_list.py | word_list.py | py | 793 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.request.args",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
... |
395721486 | from django.shortcuts import render, redirect
from core_app.forms import publicarObra, EditarObra
from core_app.models import Obra
# Create your views here.
def inicio_real(request):
return render(request, 'core_app/home.html')
def home(request):
return render(request,'core_app/home.html')
def galeria(req... | null | ea4_proy/core_app/views.py | views.py | py | 2,123 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "core_app.models.Obra.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"a... |
546392121 | # coding=utf-8
# Created by Meteorix at 2019/8/16
import os
from vision_case.model import VisionModel, DIR_PATH
from service_streamer import ThreadedStreamer, ManagedModel, Streamer, RedisStreamer, RedisWorker
import torch
BATCH_SIZE = 8
if torch.cuda.is_available():
device = "cuda"
else:
device = "cpu" # ... | null | tests/test_service_streamer.py | test_service_streamer.py | py | 3,547 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "service_streamer.ManagedModel",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": ... |
20697291 | from flask import (Flask, render_template, url_for,
redirect, request, make_response,
flash, jsonify, session)
from custom_converters.float_converter import ConvertFloat
import firebase_admin
from firebase_admin import db, credentials
from config import SECRET_KEY
import json
impo... | null | hello.py | hello.py | py | 6,155 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "custom_converters.float_converter.ConvertFloat",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 28,
"usage_type": "cal... |
63233078 | import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc
import locale
import altair as alt
locale.setlocale(locale.LC_ALL, "")
import os, sys, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.ge... | null | src/python/app.py | app.py | py | 4,531 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "locale.setlocale",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
46960015 | """
contains chapter object and chapter generating utilities
"""
import os
import html
import uuid
import imghdr
import requests
import lxml.html
import urllib.parse
from jinja2 import Template
from typing import Optional
from .const import log, validate, xmlprettify, SUPPORTED_TAGS
#** Variables **#
__all__ = [
... | null | pypub/chapter.py | chapter.py | py | 8,888 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.Session",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
362990580 | from django.db import models
from django.contrib.auth.models import User
class Game(models.Model):
players = models.ManyToManyField(
User,
through='GameMembership',
through_fields=('game', 'user'),
)
created_at = models.DateTimeField(null=False, auto_now_add=True)
updated_at = m... | null | alpha_beta_iota/app/models.py | models.py | py | 3,330 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.ManyToManyField",
"line_number": 5,
"usage_type": "call"
},
{
"api_na... |
85269513 | # -*- coding: utf-8 -*-
import os
import pickle
import json
class FacebookProfile:
def __init__(self, pid, nombre, amigos):
self.nombre = nombre
self.pid = pid
self.amigos = amigos
class TwitterProfile:
def __init__(self, pid, handle, seguidos, seguidores):
... | null | Actividades/AC14/main.py | main.py | py | 7,389 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 92,... |
59291775 | from django.conf.urls import url
from news.views import *
urlpatterns = [
url(r'^api/feed/$', feed),
url(r'^api/news/(?P<pk>\d+)/$', news),
url(r'^api/filter_news/$', filter_news),
url(r'^api/get_csrf_token/$', get_csrf_token),
url(r'^api/get_configuration_values/$', get_configuration_values),
... | null | news/urls.py | urls.py | py | 477 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "news.views",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "django.conf.url... |
491234278 | import sopel.module
import requests
API_URL = "https://query.yahooapis.com/v1/public/yql"
CARDS = [
(338, "north"),
(293, "north west"),
(247, "west"),
(203, "south west"),
(157, "south"),
(110, "south east"),
(67, "east"),
(23, "north east"),
(0, "north")
]
def req_weather(lo... | null | weather.py | weather.py | py | 2,001 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sopel.module.module.rule",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sopel.module.module",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "sopel.... |
310041201 | import os
import sys
import shutil
from pathlib import Path
import xml.etree.ElementTree as ET
import subprocess as sp
import argparse as ap
def usage():
print("Usage: python {} <APK file to patch>".format(sys.argv[0]))
def die(msg):
print(msg)
exit(1)
def check(proc):
chk = True
if os.name ==... | null | patch.py | patch.py | py | 4,110 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.name",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_call",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "subprocess.DEVNULL",... |
470891879 | import argparse
from nilearn import image
import nipype.pipeline.engine as pe
from bids import BIDSLayout
import nipype.interfaces.utility as niu
from nipype.algorithms.confounds import ACompCor, ComputeDVARS
from niworkflows.interfaces.utils import AddTPMs
import os
from fmriprep.interfaces import DerivativesDataSink
... | null | analysis/preprocess/get_confounds.py | get_confounds.py | py | 8,290 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bids.BIDSLayout",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bids.BIDSLayout",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.get_derivative",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.get_deriva... |
154388850 | from selenium import webdriver
from random import *
proxies = ["169.57.157.148:25", "169.57.157.146:8123",
"169.57.157.148:25","169.57.157.148:80"]
def configurar():
#proxy = proxies[randint(0,(len(proxies)-1))]
proxy = '169.57.157.146:8123'
opcoes = webdriver.ChromeOptions()
opcoes.add_argu... | null | Configuracoes/opcoes.py | opcoes.py | py | 697 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
}
] |
263030956 | """ Access control functions
"""
import logging
from django.contrib.auth.models import Group, User
from django.db.models import Q, QuerySet
from django.http import HttpRequest
from rest_framework.request import Request
import core_main_app.permissions.rights as rights
from core_main_app.access_control.exceptions impo... | null | core_parser_app/access_control.py | access_control.py | py | 4,397 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group.objects.filter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group.objects",
"line_number": 35,
"usage_ty... |
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