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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
38099157 | from __future__ import absolute_import
from collections import defaultdict, namedtuple
from datetime import datetime, date, time
import logging
import re
from lxml import etree
import os
from django.conf import settings
from corehq.apps.app_manager.util import all_apps_by_domain
from corehq.util.quickcache import quick... | null | custom/openclinica/utils.py | utils.py | py | 14,955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
407003783 | import datetime
import logging
import random
import spotframework.util.monthstrings as monthstrings
from spotframework.model.uri import Uri
from spotframework.filter import remove_local, get_track_objects
from spotframework.filter.added import added_after
from spotframework.filter.sort import sort_by_release_date
from... | null | music/tasks/run_user_playlist.py | run_user_playlist.py | py | 8,283 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "music.model.user.User.collection.filter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "music.model.user.User.collection",
"line_number": 26,
"usage_type": "attribute"... |
233963499 | import time #required for pausing the script
import RPi.GPIO as GPIO
from picamera import PiCamera
from time import sleep
import requests
import os
import json
from gpiozero import DistanceSensor
def photo():
path = '/home/pi/Documents/smartbin2/smartbin2-master/images'
name_list = os.listdir(path)
full_li... | null | smartbin.py | smartbin.py | py | 4,991 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 14,... |
451245026 | from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import padding
with open('private_key.pem','rb') as key_file:
private_key = serialization.load_pem... | null | encryptusingkeys.py | encryptusingkeys.py | py | 906 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cryptography.hazmat.primitives.serialization.load_pem_private_key",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.serialization",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "cryptography.hazmat.backends.default... |
564882138 | # Modules to import for project
import tensorflow as tf
import h5py
import time
import numpy as np
#Load the data
h5f = h5py.File('sat-6.h5','r')
X_train = h5f['X_train'][:]
y_train = h5f['y-train'][:]
X_test = h5f['X_test'][:]
y_test = h5f['y_test'][:]
X_valid = h5f['X_valid'][:]
y_valid = h5f['y_valid'][:]
h5f.clo... | null | capstone_project_exploration/nn_3.py | nn_3.py | py | 4,623 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "h5py.File",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 33,... |
327858112 | from __future__ import print_function
from __future__ import division
"""
test: True
"""
from six.moves import range
import numpy as np
import sympy as sp
import mpi4py.MPI as mpi
import pyLBM
X, Y = sp.symbols('X, Y')
rho, qx, qy, LA = sp.symbols('rho, qx, qy, LA', real=True)
def bc_up(f, m, x, y, driven_velocity):
... | null | demo/2D/Kelvin_Helmotz.py | Kelvin_Helmotz.py | py | 3,873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sympy.symbols",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_nu... |
96709249 | # ***Using Tensorflow 1.4.0 and Keras 2.1.2***
import tensorflow as tf
import keras
from keras.callbacks import ModelCheckpoint
from keras.models import Sequential
from keras.layers import Activation, Flatten, Dense, Lambda, Conv2D, MaxPooling2D, Dropout
from keras.optimizers import Adam
from keras import backend as ... | null | model.py | model.py | py | 5,474 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_pickle",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
... |
200010689 | import pygame
import car, trackmap, math, torch
import numpy as np
def main():
clock = pygame.time.Clock()
player_pool = []
for i in range(50):
player_pool.append(car.Player())
racemap = trackmap.Track()
font = pygame.font.Font(None, 24)
game_flag = True
dr... | null | MAIN.py | MAIN.py | py | 6,218 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.time.Clock",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "car.Player",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "trackmap.Track",
"line... |
40008108 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 23 17:08:16 2018
@author: Erik
"""
from glob import glob
import cv2
import fnmatch
from sklearn.model_selection import train_test_split
import matplotlib.pylab as plt
import pandas as pd
import numpy as np
import random as rand
def get_file_paths(num_files = -1, randoml... | null | src/get_data.py | get_data.py | py | 2,084 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "fnmatch.filter",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "fnmatch.filter",
"line_nu... |
349952521 | import json
from typing import List, Union
import os
import requests
from bs4 import BeautifulSoup
from steamCLI.utils import sanitize_title, calculate_discount
class SteamApp:
def __init__(self, config=None):
"""
Values shown for clarity. In an ideal case, we aim to assign
values to all... | null | steamCLI/steamapp.py | steamapp.py | py | 14,582 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "requests.HTTPError",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "requests.HTTPError",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "typing.Union"... |
30737163 | import requests
import json
from datetime import datetime
import time, threading
#setup
#pull in API key from text file
APIKey_file = open('Steam API Key.txt', 'rt')
APIKey = APIKey_file.read()
#get list of company numbers from text file
App_ID_File = open('App IDs.txt', 'rt')
App_IDs = App_ID_File.read()
App_ID_Lis... | null | Steam API Current Users.py | Steam API Current Users.py | py | 1,670 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.request",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "requests.req... |
509585586 | import numpy as np
import seaborn as sns
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
data=np.load('../re/all_weak_super.npy')
y_pred=np.array(data[:,1:-1],np.float)
y_pred=np.argmax(y_pred,1)
y_true = np.array(data[:,-1],np.uint8)
sns.set()
f,ax=plt.subplots()
C2= confusion_matrix(y_t... | null | result_plt/plot_confusion_matrix.py | plot_confusion_matrix.py | py | 725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmax",
"line_number"... |
120500638 | import collections
class UF:
def __init__(self):
self.parent = {}
def find(self, x):
self.parent.setdefault(x, x)
while x != self.parent[x]:
x = self.parent[x]
return x
def union(self, p, q):
self.parent[self.find(p)] = self.find(q)
class Solution:
... | null | problems/uf/721.py | 721.py | py | 1,150 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
}
] |
634883555 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
from unidecode import unidecode
import re
def _compute_slug(name, id):
name = unidecode(name)
name = re.sub('\s+','-',name)
name = re.sub('\W','-',name, flags=re.I)
name = re.sub('-{2,}','-', name)
name = name.lower()
name = name + ... | null | backend/addons/ndt_brand_url_image/models/product_brand.py | product_brand.py | py | 681 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unidecode.unidecode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 10,
"us... |
240625245 | import pygame
import math
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from pendulum import DampedPendulum
from utils import FRAME_TIME, WHITE, SCREEN_WIDTH, SCREEN_HEIGHT, PI, LINEAR_SPEED_CONSTANT, QUADRATIC_SPEED_CONSTANT, PENDULUM_LENGTH, PENDULUM_MASS
def main():
# Simulating pe... | null | simulations/simulation_lab_fis26/simulation.py | simulation.py | py | 1,134 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pendulum.DampedPendulum",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.PENDULUM_LENGTH",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "utils.P... |
242035811 | from django.test import Client
from django.shortcuts import render, render_to_response, redirect
from django.contrib.auth.hashers import make_password, check_password
from django.db import models
from .models import *
from main.forgiving_check import full_check
from django.test import TestCase, RequestFactory
def over... | null | Backend/Dev/main/testing_system.py | testing_system.py | py | 15,489 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "main.forgiving_check.full_check",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 80,
"usage_type": "call"
}
] |
348610940 | from lib.game import Game
from lib.config import config
import offshoot
class YouMustBuildABoatGame(Game):
def __init__(self, **kwargs):
kwargs["platform"] = "steam"
kwargs["app_id"] = "290890"
kwargs["app_args"] = None
kwargs["window_name"] = "#ymbab"
super().__init__... | null | plugins/YouMustBuildABoatGamePlugin/files/you_must_build_a_boat_game.py | you_must_build_a_boat_game.py | py | 654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.game.Game",
"line_number": 7,
"usage_type": "name"
}
] |
166175479 | from lib.quotation.clients.awesome_api import AwesomeAPI
import requests
import requests_mock
import responses
def test_requests_get():
currency_from = "USD"
currency_to = "BRL"
url = f"https://economia.awesomeapi.com.br/all/{currency_from}-{currency_to}"
response = {
"USD": {
"co... | null | currency-quotation-python/tests/clients/test_awesome_api.py | test_awesome_api.py | py | 1,580 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests_mock.Mocker",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "lib.quotation.clients.awesome_api.AwesomeAPI",
"line_number": 54,
"usage_type": "call"
},
{
"ap... |
642376222 | # Code adapted from Satya Mallik
# https://github.com/spmallick/learnopencv/tree/master/PyTorch-Mask-RCNN
from PIL import Image
import matplotlib.pyplot as plt
import torch
import torchvision.transforms as T
import torchvision
import torch
import numpy as np
import cv2
import random
import time
import os
... | null | Torchvision/torchvision camera functions WORKING (inst).py | torchvision camera functions WORKING (inst).py | py | 6,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torchvision.models.detection.maskrcnn_resnet50_fpn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 28,
"usage_type": "call"
}... |
503843426 | # -*- coding: utf-8 -*-
import sys
from time import clock
from inspect import isclass
from pkgutil import iter_modules
def walk_modules(path):
"""Loads a module and all its submodules from a the given module path and
returns them. If *any* module throws an exception while importing, that
exception is thro... | null | libs/yourdocs/utils/__init__.py | __init__.py | py | 2,987 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.modules",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pkgutil.iter_modules",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "inspect.isclas... |
74041905 | import torch
import cv2
import numpy as np
def xywh2xyxy(x):
# Convert bounding box format from [x, y, w, h] to [x1, y1, x2, y2]
y = torch.zeros_like(x) if isinstance(x, torch.Tensor) else np.zeros_like(x)
y[:, 0] = x[:, 0] - x[:, 2] / 2
y[:, 1] = x[:, 1] - x[:, 3] / 2
y[:, 2] = x[:, 0] + x[:, 2] /... | null | evaluate/evaluate_detrac_coco_api/utils_detrac.py | utils_detrac.py | py | 5,432 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.Tensor",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.zeros_like",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"... |
647688050 | import cv2
import pytesseract
import numpy as np
import re
import os, sys
try:
from PIL import Image
except ImportError:
import Image
import pytesseract
def boxeveryword():
#boxing every character
filename = 'test.png'
# read the image and get the dimensions
img = cv2.imread(filenam... | null | Get All Images/All.py | All.py | py | 7,070 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytesseract.image_to_boxes",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
... |
524715354 | import requests
__histominuteurl = 'https://min-api.cryptocompare.com/data/histominute?'
__histohoururl = 'https://min-api.cryptocompare.com/data/histohour?'
__histodayurl = 'https://min-api.cryptocompare.com/data/histoday?'
def histoMinute(from_curr, to_curr, e=None, extraParams=None, sign=False, tryConversion=Tru... | null | thirdparty/cryCompare/history.py | history.py | py | 2,111 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 51,
"usage_type": "call"
}
] |
403779737 | """
This file provides the environment for a player to interact with the Risk game board
# TODO: smart importing
"""
import numpy as np
# from OLD import risk_graph as rg
import risk_graph as rg
from enum import Enum
# ActionType = Enum('ActionType','ALLOT ATTACK REINFORCE FORTIFY GAMEOVER')
class ActionType(Enum):
... | null | risk_game.py | risk_game.py | py | 26,335 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "risk_graph.RiskGraph",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
365740433 | import airflow
from airflow.models import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
from datetime import datetime
args = {"owner": "Bjorn_Rijpert", "start_date": airflow.utils.d... | null | dags/Exercise2.py | Exercise2.py | py | 953 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "airflow.utils",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "airflow.models.DAG",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "date... |
624657815 | #coding: utf-8
import matplotlib.pyplot as plt
import numpy as np
import json
def prendi_json(path):
dati=json.load(open(path,"r"))
return dati
def salva_json(dati,path):
with open(path,"w") as outfile:
json.dump(dati,outfile,indent=8)
return
def creazione_grafico(stelle):
n_stelle=len(stel... | null | Grafico.py | Grafico.py | py | 1,006 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"l... |
232405616 | from .models import AcademicCalendar, Holiday
from .serializers import AcademicCalendarSerializer, HolidaySerializer
from rest_framework.permissions import IsAuthenticatedOrReadOnly, AllowAny
from rest_framework import generics
from rest_framework.pagination import PageNumberPagination
from rest_framework import filte... | null | gurukul_calendar/views.py | views.py | py | 1,687 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.AcademicCalendar.objects.all",
"line_number": 11,
"usage_ty... |
120465850 | # Copyright 2022 IBM Corp. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | null | tests/unit/zhmcclient/testutils/test_hmc_vault_file.py | test_hmc_vault_file.py | py | 3,139 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zhmcclient.testutils._hmc_vault_file.HMCVaultFileError",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "zhmcclient.testutils._hmc_vault_file.HMCVaultFileError",
"line_number": 93,
"usage_type": "name"
},
{
"api_name": "zhmcclient.testutils._hmc_vault_fil... |
3798690 | import tornado.web
import tornado.ioloop
class IndexHandler(tornado.web.RequestHandler):
@tornado.web.asynchronous
def get(self, *args, **kwargs):
self.handler()
print('asdasd')
def handler(self):
import time
time.sleep(5)
self.write('ok')
self.finish()
ap... | null | weibo/test.py | test.py | py | 493 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tornado.web.web",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "tornado.web.web",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
... |
51533002 | # coding=UTF-8
# --------------------------------------------------------------
# class_article文件
# @class: Article
# @introduction: Article类用来创建latex文档
# @dependency: pylatex模块
# @author: plutoese
# @date: 2016.02.18
# --------------------------------------------------------------
import re
from lib.base.pylatex.cl... | null | lib/base/pylatex/class_article.py | class_article.py | py | 2,955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.base.pylatex.class_latexdoc.LatexDoc",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "lib.base.pylatex.class_latexfromtemplate.LatexFromTemplate",
"line_number": 23,
"usage_type": "call"
}
] |
623541422 | import json
import re
from logging import getLogger
from typing import Any, Dict, Optional, Union
try:
from inspect import iscoroutinefunction
except ImportError:
# We must be on Python < 3.5!
def iscoroutinefunction(func): # type: ignore
return False
from twisted.internet.defer import CancelledE... | null | retwist/json_resource.py | json_resource.py | py | 8,093 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "retwist.param_resource.ParamResource",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "twi... |
628437871 | # Python DHD data and TEI suite
# This software is free to share and use.
import re
import os
import io
import json
YEAR = "2019"
OUT_DIR = os.path.join("converted_data", YEAR)
RESULTS_FILE = os.path.join(OUT_DIR, "results_lines.txt")
OUT_FILE = os.path.join(OUT_DIR, "final.json")
OUT_FILE_NONE = os.path.join(OUT_DI... | null | GoResultsCleaner.py | GoResultsCleaner.py | py | 1,590 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,... |
254916691 | import glob
import os
import wfdb
from wfdb import processing
import numpy as np
import heartpy as hp
#from torchvision import transforms
import matplotlib.pyplot as plt
"""Defines the window_size. 360 values are recorded every second. A window size of 10800 corresponds to a 30 second ECG window. We use a lag of ap... | null | code/preprocess.py | preprocess.py | py | 4,021 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "wfdb.rdrecord",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "heartpy.remove_baseline_wander",
... |
500789071 | import boto3
client = boto3.client('ec2')
instanceid = ['i-08b2f464d4cfa3e6d','i-0daa8f905c0bfc426']
for i in range(len(instanceid)):
instance_state = client.describe_instance_status(InstanceIds=[instanceid[i]])
if not instance_state['InstanceStatuses']:
print("Already Stop")
else:
current_s... | null | Boto3/stop_ec2.py | stop_ec2.py | py | 627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 2,
"usage_type": "call"
}
] |
128459192 | from __future__ import print_function
import sqlite3
from operator import itemgetter
from typing import List, Any, Union
ipldb = sqlite3.connect('ipl.db')
cur = ipldb.cursor()
a=[]
b=[]
cur.execute('''SELECT player_name,player_id FROM PLAYER ''')
d=1
for row in cur:
a.append([d,row[0],0,0,0])
b.append([])
... | null | outlab10/average_balls.py | average_balls.py | py | 1,266 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 29,
"usage_type": "call"
}
] |
14791301 | import re
from base64 import b64encode
from urllib.parse import urlsplit
from django.core.validators import URLValidator
from django.core.exceptions import ValidationError
from .settings import ALLOWED_HOSTS, URLNAME_LENGTH
ORDER = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ_-"
BASE = len(ORDER)
... | null | urlshort/link_actions.py | link_actions.py | py | 1,743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.escape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "settings.ALLOWED_HOSTS",
"line_nu... |
15118787 | import tools
import modules
import sessions
import playback
import os
import json
NGINX_EXECUTABLE = "/usr/local/nginx/sbin/nginx"
NGINX_CONFIGURATION_PATH = "/usr/local/nginx/conf/nginx.conf"
class StreamConnection():
def __init__(self, streamOutput, transcodeWidth, transcodeHeight, transcodeFramerate, sampleRa... | null | streaming.py | streaming.py | py | 9,668 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "modules.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"li... |
317855281 | import sys
sys.path.append("G:/New Folder/utils")
import os
import re
import numpy as np
import pandas as pd
import seaborn as sns
from keras.models import Model
from keras.preprocessing.sequence import pad_sequences
from keras.preprocessing.text import Tokenizer
from keras.layers.embeddings import Embedding
... | null | 2019-december/9.sentence or pargraph or document vectors/layer understanding-embedding.py | layer understanding-embedding.py | py | 3,163 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.text.Tokenizer... |
114618756 | from keras.activations import relu, elu
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.activations import sigmoid
from talos import early_stopper
from talos import Scan
from talos import Evaluate
from talos import Deploy
p = {'activation1':[relu, elu],
'activation2':[relu,... | null | model_neu/testing_methods/talos_test.py | talos_test.py | py | 2,427 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.activations.relu",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "keras.activations.elu",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "keras.activations.relu",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "k... |
507926593 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Predict classes
"""
import os
import argparse
import numpy as np
np.random.seed(13)
from src.class_prediction_lstm import prepare_data, predict
from sklearn.externals import joblib
parser = argparse.ArgumentParser()
parser.add_argument("-id", "--movie-id", default=3... | null | class_prediction.py | class_prediction.py | py | 1,223 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.e... |
413229186 | from __future__ import print_function
import sys, os, os.path, operator, shutil, glob, json, ast
import openface, numpy as np
net = openface.TorchNeuralNet(model="models/openface/nn4.small2.v1.t7", cuda=True)
def connected_components(graph):
visited = []
clusters = []
for start_node in list(graph.keys())... | null | analysis/clustering/conn_comp_analysis.py | conn_comp_analysis.py | py | 5,705 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openface.TorchNeuralNet",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"l... |
465773971 | """ Basic functions to interact with different customers """
# pylint: disable=too-many-arguments
import logging
import peewee as pw
import customer_model as cm
logging.basicConfig(level=logging.INFO)
LOGGER = logging.getLogger(__name__)
def add_customer(customer_id, customer_firstname, customer_lastname, customer... | null | students/andrew_garcia/lesson03-assignment/basic_operations.py | basic_operations.py | py | 2,715 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "customer_model.... |
524626010 | # !/usr/bin/python
import os, sys
import sys
import re
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
import random
from random import randrange
###### SEIR model : ######
#In this category of models, individuals experience a long incubation duration (the “exposed” category),
# such tha... | null | SEIRmodel.py | SEIRmodel.py | py | 7,069 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.barabasi_albert_graph",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "matplot... |
573824563 | import numpy as np
from sklearn.metrics import roc_auc_score
import torch
import torchvision.transforms as transforms
from openvino.inference_engine import IECore, StatusCode
import argparse
import timeit
from datasets import ChestXrayDataSet
from model import CLASS_NAMES, N_CLASSES
def main(modelfile):
model_xml... | null | async.py | async.py | py | 4,125 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openvino.inference_engine.IECore",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Normalize",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 27,
"usage_type": "name"
},
... |
468997968 | # -*- coding: utf-8 -*-
import re
import random
from scrapy import Request, FormRequest, Spider
from loginform import fill_login_form
from general.items import ProductItems, PriceItems
class CowtanSpider(Spider):
name = 'cowtan'
allowed_domains = ['www.cowtan.com']
def __init__(self, **kwargs):
s... | null | general/spiders/cowtan.py | cowtan.py | py | 9,188 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_... |
445986204 | # 不想混吃等死
import pandas as pd
from matplotlib import pyplot as plt
# trying to get data from sheet
df01 = pd.read_csv('01.csv');df02 = pd.read_csv('02.csv');df03 = pd.read_csv('03.csv')
param01 = df01.head();param02 = df02.head();param03 = df03.head()
print(param01);print(param02);print(param03)
print(plt.style.availab... | null | datacamp_tutorial/data_science/matplot.py | matplot.py | py | 1,042 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotli... |
523999619 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: yutingyw
"""
import numpy as np
class Transformers(object):
@staticmethod
def autoencoder(*args, **kwargs):
from Feedforward import Autoencoder
class AutoencoderTransformer(Autoencoder):
def fit_transform(self, x, y=None):... | null | Preprocessors.py | Preprocessors.py | py | 14,359 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.uniform",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.rand... |
319825013 | import pandas as pd
import numpy as np
import spacy
import matplotlib.pyplot as plt
import seaborn as sns
import multiprocessing as mp
from functools import wraps
def multi_map_fn(fn):
@wraps(fn)
def wrap(x):
df, args, kwargs = x
return fn(df, *args, **kwargs)
return wrap
def multi_map(df... | null | trash/parallel_because.py | parallel_because.py | py | 2,249 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.wraps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array_split",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "multiproc... |
123570136 | import pandas as pd
import Quandl
from wrapper_v2 import IBWrapper, IBclient
from swigibpy import Contract as IBcontract
from accessrights import q_access_key
import os
import time
import logging
def set_logging():
logger = logging.getLogger('Downloads')
logger.setLevel(logging.DEBUG)
# create file handle... | null | private/data/prod2_downloader.py | prod2_downloader.py | py | 9,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBU... |
601512888 | from os import path
from setuptools import setup
def load_long_descriprion():
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, "README.rst")) as readme:
return readme.read()
setup(
name="Airpixel",
version="0.8",
url="https://github.com/mmEissen/a... | null | pypi_install_script/Airpixel-0.8.tar/setup.py | setup.py | py | 806 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
642664149 | import torch
import torch.nn as nn
import matplotlib.pyplot as plt
import constants
print ("cuda available = " + str(torch.cuda.is_available()))
cuda = torch.device('cuda')
#read all_article_words_deduped.txt and gather the 1-hot encoding size.
file1 = open(constants.filepath_all_article_words_deduped, 'r')
Lines... | null | stockthingy/train_network.py | train_network.py | py | 1,806 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "constants.filepath_... |
598710182 | import os
from datetime import datetime
from flask import Flask, render_template, url_for, request, redirect, flash
from flask_sqlalchemy import SQLAlchemy
from forms import BookmarkForm
import models
basedir = os.path.abspath(os.path.dirname(__file__))
app = Flask(__name__)
#app.logger.debug(basedir)
bookmarks... | null | thermos.py | thermos.py | py | 2,139 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_... |
634907103 | import pygame
class Ship():
def __init__(self, screen, ai_settings):
self.screen = screen
self.ai_settings = ai_settings
self.image = pygame.image.load('image/ship.dib.bmp')
self.rect = self.image.get_rect()
self.screen_rect = screen.get_rect()
self.rect.centerx = se... | null | alien_invasion/ship.py | ship.py | py | 1,012 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.image.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 6,
"usage_type": "attribute"
}
] |
155221816 | from _datetime import datetime
import pymysql
import pytest
from src.my_db import MyDB
YEAR = datetime.now().year
OTHER_YEAR = datetime.now().year + 2
DB_NAME = 'home_budget'
OTHER_DB_NAME = 'other_db'
TABLE_NAME = 'budget'
OTHER_TABLE_NAME = 'other_table'
@pytest.fixture(scope='module')
def my_connect_to_my_db(requ... | null | tests/my_db_operations_test.py | my_db_operations_test.py | py | 1,632 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "_datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "_datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "_datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "_dateti... |
26943566 | import logging
from ad_api.base import AdvertisingApiException, Marketplaces
from ad_api.api.sp import Campaigns
logging.basicConfig(
level=logging.DEBUG,
format="%(asctime)s:%(levelname)s:%(message)s"
)
try:
states = 'enabled'
res = Campaigns().list_campaigns_extended_request(
stateFilter=sta... | null | docs/example.py | example.py | py | 475 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ad_api.api.sp.Campaigns",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.... |
219299061 | from datetime import datetime
from flask import Blueprint
from sqlalchemy.exc import IntegrityError, DataError
from anubis.models import db, Assignment, AssignedStudentQuestion, AssignedQuestionResponse
from anubis.utils.auth.http import require_user
from anubis.utils.auth.user import current_user
from anubis.utils.d... | null | api/anubis/views/public/questions.py | questions.py | py | 3,993 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "anubis.models.Assignment",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "anubis.utils.http.success_response",
"line_number": 31,
"usage_type": "call"
},
{
"api_n... |
90044921 | from django.test import TestCase
from django.contrib.staticfiles.testing import StaticLiveServerTestCase
from selenium.webdriver.firefox.webdriver import WebDriver
from selenium.common.exceptions import NoSuchElementException
from core.models import User
# Create your tests here.
# Per volcar db per a test cal fer am... | null | core/tests.py | tests.py | py | 10,235 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.common.exceptions.NoSuchElementException",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "core.models.User.objects.get",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "core.models.User.objects",
"line_number": 90,
"usage_type"... |
299242658 | from django.urls import path,include
from . import views
urlpatterns=[
path('',views.home,name='home'),
path('contact/',views.contact,name='contact'),
path('about/',views.about,name='about'),
path('services/',views.services,name='services'),
path('learnmore/',views.learnmore,name='learnmore'),
... | null | stocknet/appp/urls.py | urls.py | py | 3,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"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",
... |
582375622 | # -*- coding: utf-8 -*-
# 格值点转换为NetCDF文件
import netCDF4 as nc
import numpy as np
import os
import pdb
import errno
import sys
import math
inp_dir = "D:\\ResearchProjects\\2020\\zw"
out_dir = "D:\\ResearchProjects\\2020"
# inp_file = '地下水等效水高变化ewh.dat'
# inp_file = '地下水等效水高变化ewh_gps10.dat'
# inp_file = '地下水等效水高变化ewh0... | null | DataProcess/gridpts2netCDF.py | gridpts2netCDF.py | py | 2,827 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "errno.EEXIST",
"line_number... |
316241862 | """
Programme réalisé le, 08/08/2021
"""
from os import remove
import pygame, sys
from pygame.locals import *
from classes import *
from time import sleep
from functools import partial
from PIL import Image
import os
from tkinter import filedialog, Tk
from tkinter.messagebox import *
### VARIABLES ###
fps = 60
grid... | null | main.py | main.py | py | 15,350 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.Tk",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.transform.scale",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.... |
605705985 | #!/usr/bin/env python3
# coding: utf-8
# Example 18 IoT チャイム WSGI 版 【チャイム音の排他処理対応】
port = 4 # GPIO ポート番号
ping_f = 554 # チャイム音の周波数1
pong_f = 440 # チャイム音の周波数2
from wsgiref.simple_server import make_server
from R... | null | learning/example18_iot_chime_n.py | example18_iot_chime_n.py | py | 3,577 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": ... |
93606610 | # TODO MultiFrame -> GroupedFrame
# new MultiFrame for multidata
from __future__ import print_function
from future.builtins import *
import os
# import re
import shelve
from collections import OrderedDict
from pandas import Series, DataFrame, Index
# from pandas import concat
from . import plot as plt
from .pl... | null | Owls/FoamFrame.py | FoamFrame.py | py | 25,065 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "shelve.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_... |
417070315 | import sqlite3
import sys
import datetime
import argparse
def currentTime():
return datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
def expOfLevel(level):
return int(1.04 ** (level + 100))
def showNotes():
conn = sqlite3.connect("note.db")
curs = conn.cursor()
curs.execute("select * from note")
print("No... | null | noteUI/test/build-interC-Desktop_Qt_5_10_1_MinGW_32bit-Debug/note.py | note.py | py | 5,321 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlite3.co... |
186919267 | # -*- coding: utf-8 -*-
# @Time : 18-10-19 上午10:43
# @Author : 张帆
# @Site :
# @File : loginDialogControl.py
# @Software: PyCharm
import json
import os
import sys
import time
from PyQt5.QtCore import pyqtSlot, pyqtSignal, QUrl, QSettings, QTimer
from PyQt5.QtNetwork import QAbstractSocket
from PyQt5.QtWebSo... | null | app/UIControl/loginDialogControl.py | loginDialogControl.py | py | 37,288 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "app.UIView.loginDialog.Ui_LoginDialog",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 32,
"usage_type": "call"
},
{
... |
551865098 | # -*- coding: utf-8 -*-
# by digiteng...
from Renderer import Renderer
from enigma import ePixmap, eTimer, loadJPG
from Components.Pixmap import Pixmap
import json, os, re
from urllib2 import urlopen, quote
tmdb_api = "3c3efcf47c3577558812bb9d64019d65"
path_folder = "/tmp/"
class pstr(Renderer):
def __... | null | Poster/pstr.py | pstr.py | py | 1,365 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Renderer.Renderer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "Renderer.Renderer.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Renderer.Renderer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "enigma... |
322386470 | from selenium import webdriver
from selenium.common.exceptions import *
from webdriver_manager.chrome import ChromeDriverManager
driver = webdriver.Chrome(ChromeDriverManager().install())
driver.get('https://antoogle.testoneo.com/')
xpath_list = ['*yolo_this_is_not_xpath*', '//*[@class="this xpath cannot be found"]'... | null | try_except/scratch_2.py | scratch_2.py | py | 757 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 6,
"usage_type": "call"
}
] |
383476793 | import torch
import torch.nn as nn
from ..builder import QUANLAYERS
import torch.nn.functional as F
@QUANLAYERS.register_module()
class DRFLinear(nn.Linear):
"""Applies a quantized linear layers in DoReFa-Net way.
args:
in_features(int): Size of each input sample
out_features(int): Size of e... | null | quantrans/quantops/DOREFA/DRFLinear.py | DRFLinear.py | py | 4,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Linear",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.fake_quantize_per_tensor_affine",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "tor... |
132042698 | # encoding: utf-8
"""
pychievments.icons includes the :py:mod:`Icon` class as well as a number of pre-defined icons useful
for CLI applications.
* unicodeCheck
* unicdeCheckBox
* star
"""
class ColorCatcher(object):
def __getattr__(self, name):
return lambda s: s
try:
from clint.textui import colore... | null | pychievements/icons.py | icons.py | py | 2,048 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "clint.textui.colored",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "clint.textui.colored.white",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "clint.textui.colored",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "... |
217038969 | import jinja2
import webapp2
from google.appengine.ext import db
from google.appengine.api import memcache # not gonna use it, will just use a dictionary for caching
import time
import logging
jinja_env = jinja2.Environment(loader=jinja2.FileSystemLoader('./templates'),autoescape=True)
updated=True
CACHE = {}
var=0
... | null | blog-with-caching.py | blog-with-caching.py | py | 2,800 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jinja2.Environment",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.db.Model",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_n... |
213779086 | # -*- coding: utf-8 -*-
"""
Latte activity log analyzer
"""
from datetime import datetime, timedelta
import errno
from sqlalchemy import *
from .Config import Config
from .Log import Log
from .latte import Latte
class Analyzer(object):
""" Analyzes Latte log data """
def __init__(self, config, session, a... | null | latte/Analyzer.py | Analyzer.py | py | 6,608 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "errno.EPIP... |
520991395 | import json
import os
from typing import Dict, TextIO
HERE = os.path.dirname(__file__)
def parse_object(obj_file: TextIO) -> Dict[str, str]:
lines = list(obj_file.readlines())
obj = {}
for heading, content in zip(lines[0::2], lines[1::2]):
name = heading.lstrip('#').split('(')[0].strip()
... | null | build.py | build.py | py | 893 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "typing.TextIO",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_numbe... |
400380426 | import sys
import sqlite3
import asyncio
from ..utils import update_file
class SqliteStorage:
def __init__(self, filename='data/db.sqlite3', loop=None):
if loop is None:
loop = asyncio.get_event_loop()
self.loop = loop
self.conn = sqlite3.connect(filename)
self.conn.row_... | null | wallpainter/db/__init__.py | __init__.py | py | 2,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flu... |
490077777 | """This module is part of the CFSAN SNP Pipeline. It contains the code to
remove the abnormal snps.
"""
from __future__ import print_function
from __future__ import absolute_import
from Bio import SeqIO
from collections import defaultdict
import os
import sys
import shutil
import vcf
from snppipeline import utils
d... | null | snppipeline/filter_regions.py | filter_regions.py | py | 14,364 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "snppipeline.utils.print_log_header",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "snppipeline.utils",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "snppipeline.utils.print_arguments",
"line_number": 70,
"usage_type": "call"
},
{... |
651462514 | from Test import Test
import json
from Utils import Connector
class TestSumAllMoney(Test):
__result_db=[]
__result_test_data=[]
__r=Connector.Connector().getConnector()
def _createResult(self,mas_val):
for k in range(2):
sum = 0
myId = ""
i = 0
... | null | simcord_study/Redis_Class_2/Tests/TestSumAllMoney.py | TestSumAllMoney.py | py | 967 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Test.Test",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "Utils.Connector.Connector",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Utils.Connector",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"li... |
366910488 | # pip3 install fastapi python-multipart uvicorn
# uvicorn onsei.api:app --reload
"""
API to perform an audio comparison and get a graph
"""
import logging
import os
import subprocess
import traceback
from io import BytesIO
from tempfile import TemporaryDirectory
import matplotlib.pyplot as plt
from fastapi import Fast... | null | onsei/api.py | api.py | py | 8,217 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "onsei.speech_record.AlignmentMethod",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "fastapi.UploadFile",
"line_number": 34,
"usage_type": "name"
},
{
"api_name":... |
429320128 | import os
import re
import warnings
import nbformat
import sys
import numpy as np
import matplotlib.pyplot as plt
_plt = plt
from unittest import mock
from itertools import dropwhile, takewhile
def run_cell(source, variables=None, nb_path=''):
def repl(m):
command, args = m.groups()
if command != ... | null | nbtester/loader.py | loader.py | py | 6,003 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"lin... |
509612130 | from flask import Flask, render_template, url_for, request, redirect, session,flash
import pymysql
import os
import pandas as pd
import datetime
import numpy as np
from sklearn.svm import SVR
app = Flask(__name__)
app.secret_key = os.urandom(24)
# configuaring database
db = pymysql.connect("localhost", ... | null | Stock-Pice-Prediction/webapp/app.py | app.py | py | 16,041 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"li... |
285220861 | from collections import deque
def wordFind(board,word,row,col):
index = 0
q = deque()
is_visited = []
q.append([row,col])
is_visited.append([row,col])
while q:
popped_ele = q.pop()
for [neighbor_row,neighbor_col] in [[popped_ele[0]-1,popped_ele[1]],[popped_ele[0],poppe... | null | problem70.py | problem70.py | py | 1,196 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
575609433 | import numpy as np
import pylab
import matplotlib.pyplot as plt
import os
from astropy.io import fits
import argparse
import shutil
import readflat as rf
import simpixlc as sp
import gentraj as gt
import addnoise as an
import transitmodel as tm
import pld
import sys
if __name__ == "__main__":
parser = argparse.... | null | src/faketarg.py | faketarg.py | py | 9,278 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
157831326 | import requests
import json
import pprint
def travel_time_demo():
url = 'https://maps.googleapis.com/maps/api/directions/json'
param = {
'origin': '2001 Carrington Park Cir, Morrisville, NC 27560',
'destination': '3020 Carrington Mill Blvd, Morrisville, NC 27560',
'key': 'AIzaSyDaf1DdB... | null | api_test/googleapi_test.py | googleapi_test.py | py | 646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
}
] |
463297108 | from typing import Union
import asyncpg
from asyncpg import Connection
from asyncpg.pool import Pool
from data import config
class Database:
def __init__(self):
self.pool: Union[Pool, None] = None
async def create(self):
self.pool = await asyncpg.create_pool(
us... | null | utils/db_api/postgresql.py | postgresql.py | py | 7,692 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Union",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "asyncpg.pool.Pool",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "asyncpg.create_pool",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "data.config.DB_USE... |
219496221 | import os
from operator import add
import json
import argparse
import numpy as np
import hydra
from omegaconf import DictConfig
from hydra import slurm_utils
@hydra.main(config_path=os.path.expandvars('$HOME/conf/$PROJ'), config_name='config')
def display_results(cfg: DictConfig):
res_string = ""
std_string =... | null | scripts/display_avg_noise.py | display_avg_noise.py | py | 5,040 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "omegaconf.DictConfig",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"li... |
328773499 | from ftw.builder import Builder
from ftw.builder import create
from ftw.testbrowser import browser as default_browser
from ftw.testbrowser import browsing
from ftw.testbrowser.pages.statusmessages import info_messages
from opengever.task.adapters import IResponseContainer
from opengever.task.browser.modify_deadline imp... | null | opengever/task/tests/test_deadline_modification.py | test_deadline_modification.py | py | 8,184 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "opengever.testing.FunctionalTestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "opengever.task.response_syncer.deadline.ModifyDeadlineResponseSyncerReceiver._check_internal_request",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "op... |
144254634 | import json
import sys
from hourlycpu import CPUGetter
from mec import MECGetter
from wpcount import WPCountGetter
# print("Welcome to Report Creator")
class CPMReport(object):
def __init__(self):
self.system = ""
self.report = ""
self.month = ""
def loadFile(self):
try:
with open('systems.json') as ... | null | myreport.py | myreport.py | py | 3,475 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 31,
... |
554513819 | from flask import Blueprint, request, jsonify, make_response
from app.auth.models import Auth, basic_auth, token_auth, Security
from app.haulers.models import Haulers, HaulersSchema, db
from app.representative.models import Representative, RepresentativeSchema
from app.helper.helper import Format
from flask_restful imp... | null | app/auth/views.py | views.py | py | 10,446 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "app.auth.mod... |
509688520 | from pylab import *
import numpy as np
import xarray as xr
import pandas as pd
import matplotlib.pyplot as plt
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
import matplotlib
#from IPython.display import set_matplotlib_formats
#set_matplotlib_formats('png', 'pdf')
import glob
import os
import cartopy.crs ... | null | figure_2.py | figure_2.py | py | 3,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
371671105 | import torch
import torch.nn as nn
import torch.nn.functional as fn
import torch.utils.data as data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import os
from tqdm import tqdm
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.manifold import TS... | null | MNISTBasicVAEDataVisualization.py | MNISTBasicVAEDataVisualization.py | py | 2,287 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Grayscale",
"line_number": 17,
"usage_type": "call"
},
{... |
495385008 | import csv
import json
import sys
timeframe = 10
def minimum(a, b):
return a < b
def maximum(a, b):
return a > b
def get_sentiment_strength( sentiment_array ):
sum = 0.0
cnt = 0
for item in sentiment_array:
if( item == "positive" ):
sum += 1.0
return sum / len( sentiment_... | null | Python-PHP-Codes/svm_feature_calculator.py | svm_feature_calculator.py | py | 4,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 136,
"usage_type": "call"
}
] |
551714326 | """
MIT License
Copyright (c) 2019 InternetExplorer404
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, pu... | null | plugins/utils.py | utils.py | py | 11,545 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "plugins.colors.color1.return_color",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "imgurpython.ImgurClient",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "... |
565239597 | from transformation_utilities import *
import logging
"""A list of all possible status of the projects. Any status not covered will be assumed as False."""
IMPORT_STATUS = {
'Published': True,
'Verified': False,
'Verified-plus': False,
'Incomplete': False,
'Erased': False,
'Under Revision': Fal... | null | publications.py | publications.py | py | 6,943 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 57,
"usage_type": "attribute"
}
] |
409189536 | from src.core.plot_settings_handler import setup_ax
import matplotlib.pyplot as plt
from pandas.core import frame
import pandas as pd
from collections import Counter
import re
class DataAnalysis:
def __init__(self, data_frame: pd.core.frame.DataFrame):
self.data_frame = data_frame
def make_a_histogra... | null | src/core/data_analysis.py | data_analysis.py | py | 10,161 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.core",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "src.core.plot_settings_handler.setup_ax",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 42,
"usage_type": "call"
},
{
... |
559755622 | # coding=utf-8
from numpy import equal, is_busday, mat, right_shift
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class solution:
def decode_at_index(self, s: str, k: int):
'''
s=a234567899999999时系统卡死
Q:
给定一个编... | null | LeetCode/LeetCode.py | LeetCode.py | py | 66,750 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.fullmatch",
"line_number": 222,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 802,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 810,
"usage_type": "call"
},
{
"api_name": "collections.C... |
380889595 | import io
import random
from flask import *
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import warnings
import itertools
import numpy as np
import pandas as pd
import statsmodels.api as sm
import matplotlib
app = Flask... | null | app.py | app.py | py | 2,837 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 16,
"usage_type": "attribute"
},
{
"... |
127288736 | # -*- coding: utf-8 -*-
from django.http import HttpResponse
from django.utils import simplejson
from django.views.decorators.cache import never_cache
from django.contrib.auth.decorators import login_required
from apps.notifications.models import *
from django.http import HttpResponseRedirect
from apps.core.utils ... | null | apps/notifications/views.py | views.py | py | 8,104 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.cache.never_cache",
"line_number": 20,
"usage_type": "n... |
57945004 | import os
import math
import copy
import ROOT
import argparse
parser = argparse.ArgumentParser(description = "Receive the parameters")
parser.add_argument('--config', action = 'store', type = str, dest = 'cfg', help = 'Input configuration file')
parser.add_argument('--var' , action = 'store', type = str, dest = 'var... | null | Configurations/monoHWW/SemiLep/Full2018_v7/darkHiggs/mkNContr.py | mkNContr.py | py | 4,050 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_nu... |
642790888 | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.nn.utils.rnn import pad_sequence
from transformers import BertJapaneseTokenizer
from transformers import BertForSequenceClassification
import os
from utils import load_mydataset, load_ICD_from_pickle
from sklearn.metrics import... | null | code/BERT_for_classification.py | BERT_for_classification.py | py | 4,337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line... |
271923029 | import requests
from requests.exceptions import HTTPError
from urllib.parse import urljoin
import os, codecs
import sqlite3
import hashlib
from urllib.parse import unquote
connection = sqlite3.connect("webcrawler_timeout_2.db")
cursor = connection.cursor()
cursor.execute("CREATE TABLE true_q (No INTEGER,... | null | webcrawler.py | webcrawler.py | py | 4,385 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "requests.exceptions.HTTPEr... |
161321607 | #!/usr/bin/env python3
import xml.sax
import xml.sax.handler
class Default(object):
def __init__(self, value, part):
self.value = value
self.part = part
class Multipart(object):
def __init__(self, id, subparts):
self.id = id
self.subparts = subparts
class Subpart(object):
... | null | legacy/electronics/digibom/digibom/projectinfo.py | projectinfo.py | py | 2,553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xml.sax.sax",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "xml.sax",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "xml.sax.sax.handler.ContentHandler.__init__",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "... |
297103599 | """Models to represent task types and instances."""
import json
from uuid import uuid4
from django.contrib.auth.models import User
from django.contrib.postgres.fields import JSONField
from django.core.exceptions import ValidationError
from django.core.validators import RegexValidator
from django.db import models
from ... | null | tasksapi/models.py | models.py | py | 11,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.validators.RegexValidator",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 34,
"usage_type": "name"
},
{
... |
526924133 | import tensorflow as tf
import os
import numpy as np
from utils.config import config_class
from utils.factory import ku_dataset
import pdb
import time
class train_class(config_class):
def __init__(self, model_name, exp_num, input_normalize, new_Ls, new_Ls_shift):
tf.reset_default_graph()
print('[i] Train Or... | null | train_utils/train_centerloss.py | train_centerloss.py | py | 13,193 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.config.config_class",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tensorflow.reset_default_graph",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 27,
"usage_type": "call"
},
{
"ap... |
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