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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
353107612 | import hashlib
import hmac
import time
from collections import OrderedDict
from typing import Any, Dict, Optional
from urllib.parse import quote, urlencode, urlsplit
from hummingbot.core.web_assistant.auth import AuthBase
from hummingbot.core.web_assistant.connections.data_types import RESTRequest, WSRequest
class F... | null | hummingbot/connector/exchange/ftx/ftx_auth.py | ftx_auth.py | py | 3,249 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hummingbot.core.web_assistant.auth.AuthBase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "hummingbot.core.web_assistant.connections.data_types.RESTRequest",
"line_number":... |
56349815 | import csv
import random as rand
inpath_train = "data/twitter/twitter_train.csv"
inpath_valid = "data/twitter/twitter_valid.csv"
import numpy as np
from scipy import stats
def noise_mtx(s, n_classes):
return (1.0-s) * np.identity(n_classes) + float(s / n_classes)
def gen_rand_label(noise, label):
dist = nois... | null | data/scripts/rand_noise_generation.py | rand_noise_generation.py | py | 1,953 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.identity",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.stats.rv_discrete",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.array",
... |
541972201 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 16 12:09:24 2018
@author: T901
"""
import numpy as np
from numpy import linalg as LA
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
def do_svd(A):
U, S, V = LA.svd(A)
m = A.shape[0]
n = A.shape[1]
# checking if U, V are orthog... | null | py/26_SVC - singular value decomposition - img compr.py | 26_SVC - singular value decomposition - img compr.py | py | 3,186 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linalg.svd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"l... |
267273069 |
__author__ = 'Hans Kristian Lunda, Mikko Rekstad'
__email__ = 'hans.kristian.lunda@nmbu.no, mikkreks@nmbu.no'
from biosim.fauna import Fauna
from biosim.cell import Cell, Jungle, Ocean, Mountain, Savannah, Desert
from biosim.map import Map
from biosim.simulation import BioSim
import mock
import unittest
# Testing th... | null | tests/test_map.py | test_map.py | py | 9,166 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "biosim.map.Map",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "biosim.map.Map",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "biosim.simulatio... |
88368208 | import random
from matplotlib import pyplot as plt
import numpy as np
class rand_distribution_generator:
def __init__(self, func, start, stop):
self.func = func
self.start = start
self.stop = stop
self.val_number = 1000
self.values = []
for i in range(self.val_numbe... | null | Random generator.py | Random generator.py | py | 1,534 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.uniform",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
31345371 | import requests
import bs4 as bs
def query(my_url):
session = requests.Session()
response = session.get(my_url)
soup = bs.BeautifulSoup(response.content,"html.parser")
return soup
def yt(search):
url = "https://www.youtube.com/results?search_query="
search = "+".join(search.split(" "))
s... | null | youtube_url.py | youtube_url.py | py | 774 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.Session",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
}
] |
229111230 | from aip import AipBodyAnalysis
import cv2
import threading,io
from PIL import Image, ImageDraw, ImageFont
import numpy as np
APP_ID="*****"
API_KEY="*****"
SECRET_KEY="**********"
client =AipBodyAnalysis(APP_ID, API_KEY, SECRET_KEY)
enname=["Face","Point","Palm","Fist","Ok","Prayer","Congratulation","Honour","Heart_s... | null | aiface.py | aiface.py | py | 2,725 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "aip.AipBodyAnalysis",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image"... |
343299093 | from collections import UserList, namedtuple
import aiohttp
__all__ = ['Results']
class Results(UserList):
"""
The results of a download.
"""
def __init__(self, *args):
super().__init__(*args)
self._errors = list()
self._error = namedtuple("error", ("filepath_partial", "url",... | null | parfive/results.py | results.py | py | 1,795 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.UserList",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientResponse",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name":... |
545219366 | from onnx.mapping import NP_TYPE_TO_TENSOR_TYPE
from onnx import helper
from qumico.handlers.frontend.tflitehandler import TFLiteBaseHandler
from qumico.handlers.frontend.tflitehandler import tflite_op
from qumico.handlers.frontend.tflite.tflite_decorator import tflite_op_conf
@tflite_op("LOGICAL_NOT")
class LOGICAL... | null | qumico/handlers/frontend/tflite/logical_not.py | logical_not.py | py | 1,505 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "qumico.handlers.frontend.tflitehandler.TFLiteBaseHandler",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "onnx.helper.make_tensor_value_info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "onnx.helper",
"line_number": 22,
"usage_type"... |
145598979 | import yaml
if __name__ == '__main__':
data = yaml.load(open("./plik.yaml"))
print("\n \n \n Hello \n \n \n")
dh = data["dh"]
print(dh)
print("\n")
index = 0
h=0
wynik = open("wynik.yaml","w")
for x in dh:
name = "j"+ str(index)+":"
xyz = str(x[1])+" 0.0 "+str(h)
... | null | catkin_ws/src/zad4/urdf/zad2/main.py | main.py | py | 574 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "yaml.load",
"line_number": 4,
"usage_type": "call"
}
] |
603737032 | ########################################################################
# Classes for generating prediction, given a model, for different setups of the problem
########################################################################
from classes.ItemSet import ItemSet3
import numpy as np
import multiprocessing as mp
f... | null | shared/classes/.ipynb_checkpoints/ModelPrediction-checkpoint.py | ModelPrediction-checkpoint.py | py | 8,234 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "classes.ItemSet.ItemSet3",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"l... |
253809107 | import numpy as np
import tensorflow as tf
import time
from datetime import timedelta
from sklearn.preprocessing import MinMaxScaler
import sys
sys.path.append('..') #unfortun0ately I can't find a better way to get stuff from sibling folders
from score import get_batch, get_test, get_data_size
import data_loader.loade... | null | player_model/model.py | model.py | py | 4,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "data_loader.loader.get_players_collection",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
353797463 | import sys
import os
import numpy
import argparse
from scipy.constants import c
# Import local codes
# sys.path.append("../../beam_perturbations/code/tile_beam_perturbations/")
sys.path.append("../../CorrCal_UKZN_Development/corrcal")
from corrcal import grid_data
from src.covariance import thermal_noise
from src.ra... | null | simulate_calibration.py | simulate_calibration.py | py | 9,699 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_numb... |
364056609 | import pygame
player_front_frames = [
pygame.image.load(f'assets/images/inquisitor/front/normal/{i}.png') for
i in range (1, 5) ]
player_back_frames = [
pygame.image.load(f'assets/images/inquisitor/back/normal/{i}.png') for
i in range (1, 5) ]
player_right_frames = [
pygame.imag... | null | assets.py | assets.py | py | 4,803 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.image.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
244170366 | #!/usr/bin/python
import sys
import rospy
import actionlib
from people_msgs.msg import People
from geometry_msgs.msg import PoseStamped, Point
from tinker_msgs.msg import FollowGoal
from tinker_msgs.msg import FollowAction
from tinker_msgs.msg import FollowResult
from actionlib_msgs.msg import GoalStatus
import tf
fr... | null | tinker_human_track/script/simple_follow.py | simple_follow.py | py | 3,385 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rospy.Publisher",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "geometry_msgs.msg.PoseStamped",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "actionlib.SimpleActionServer",
"line_number": 21,
"usage_type": "call"
},
{
"ap... |
109085627 | from flask import request
from flask_restful import Resource
from database import db
class CrabType(db.Model):
__tablename__ = 'crab_type'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
common_name = db.Column(db.String)
scientific_name = db.Column(db.String)
def __init__(self, ... | null | model/crab_type.py | crab_type.py | py | 1,330 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "database.db.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "database.db",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "database.db.Column",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "database.db",
... |
498749421 | import scrapy
from crawler.items import JobItem
class OlxComplete(scrapy.Spider):
name = "olx_complete"
allowed_domains = ["olx.in"]
start_urls = [
# 'https://www.olx.in/mumbai/customer-service/?page=1',
# # 'https://www.olx.in/mumbai/online-part-time/?page=1',
# 'https://www.olx.i... | null | crawler/spiders/OlxComplete.py | OlxComplete.py | py | 4,562 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "crawler.items.JobItem",
"line_number": 84,
"usage_type": "call"
}
] |
653098540 | from pymongo import MongoClient
from bson.objectid import ObjectId
import json
connect = MongoClient("mongodb://localhost:27017/calculated")
db= connect.calculated
historyData=db.Station_history_data
hotCounter=0
years=[2012,2013,2014,2015,2016,2017,2018,2019,2020]
for j in years:
print(j)
station=db.Station_... | null | Data/dynamicTagsForHistory.py | dynamicTagsForHistory.py | py | 2,478 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
}
] |
472926634 | # importing all relevant libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#import statsmodels.api as sm
import seaborn as sns
sns.set()
from sklearn.linear_model import LinearRegression
#Loading data into variablre using Pandas
data=pd.read_csv('1.01. Simple linear regression.csv')
data... | null | MachineAndDeepLearning/LinearRegression/LinearRegression_SAT_GPA_Example.pyw | LinearRegression_SAT_GPA_Example.pyw | pyw | 1,053 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "seaborn.set",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
73172874 | # This Python file uses the following encoding: utf-8
import sys
from PySide2.QtWidgets import QApplication, QMainWindow,QHeaderView
from PySide2 import QtWidgets
from window import *
from scapy.all import *
from getmac import get_mac_address
class Packet_Error(RuntimeError):
def __init__(self, msg):
... | null | pasoib_8.py | pasoib_8.py | py | 17,269 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PySide2.QtWidgets.QMainWindow",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QMainWindow.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QMainWindow",
"line_number": 15,
"usage_type": "na... |
470930733 | from django.urls import path, re_path
from . import views
urlpatterns = [
path('login/', views.LoginAPIView.as_view()),
path('email/', views.CheckEmailAPIView.as_view()),
path('username/', views.CheckUserAPIView.as_view()),
path('sms/', views.SendSmsAPIView.as_view()),
path('register/', views.Regis... | null | qzjg_back/apps/user/urls.py | urls.py | py | 351 | python | en | code | null | code-starcoder2 | 83 | [
{
"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",
... |
475378058 | from math import nan
from flask import *
app=Flask(__name__)
app.config["JSON_AS_ASCII"]=False
app.config["TEMPLATES_AUTO_RELOAD"]=True
# import mysql.connector
import pymysql.cursors
import pymysql
# from flask import jsonify
import json
# import urllib.request as request
import datetime
import random
import reques... | null | app.py | app.py | py | 15,497 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymysql.connect",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors"... |
511067530 | from bs4 import BeautifulSoup
from urllib2 import urlopen
import sqlite3 as lite
import sys
import os
def make_soup(url):
html = urlopen(url).read()
return BeautifulSoup(html, "lxml")
def create_tables():
conn = lite.connect("data.db")
c = conn.cursor()
try:
c.execute('''CREA... | null | get_data.py | get_data.py | py | 2,510 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib2.urlopen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlite3.OperationalEr... |
188539176 | from mmdet.apis import init_detector, inference_detector, show_result
import os
from mmcv import Config
from tqdm import tqdm
import shutil
# config_file = 'cdcn_text_expr.py'
config_file = 'cdcn_v1.py'
checkpoint_file = '../work_dirs/debug_ctw/latest.pth'
cfg = Config.fromfile(config_file)
save_dir = 'show'
if os.pa... | null | expr/demo.py | demo.py | py | 1,130 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mmcv.Config.fromfile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mmcv.Config",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
208656271 | # encoding:utf-8
import unittest
import asyncio
import aiohttp
import re
def get_html(url):
# htmlを取得する
# @return string
response = yield from aiohttp.request("GET", url)
return (yield from response.text())
def is_url(url):
if url is None:
return False
reg = r"https?://[\w/:%#\$&\?\... | null | main.py | main.py | py | 1,101 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "aiohttp.request",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "asyncio.get_event_loo... |
292194013 | from typing import Dict, List
from src.domain.models import Users
from src.domain.test import mock_users
class FindUserSpy:
"""Class to define use case select user"""
def __init__(self, user_repository: any):
self.user_repository = user_repository
self.id_param = {}
self.by_id_param =... | null | src/data/test/find_user_spy.py | find_user_spy.py | py | 1,553 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "src.domain.test.mock_users",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "src.domain.models.... |
274457518 | import os
import unittest
from django.core.management import call_command
from django.test import TestCase
from frontend.models import SHA, PCT
def setUpModule():
SHA.objects.create(code='Q48')
PCT.objects.create(code='06F',
name='NHS Bedfordshire')
def tearDownModule():
... | null | openprescribing/frontend/tests/commands/test_import_org_names.py | test_import_org_names.py | py | 1,752 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "frontend.models.SHA.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "frontend.models.SHA.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "frontend.models.SHA",
"line_number": 9,
"usage_type": "name"
},
{
... |
219898968 | #!/usr/bin/env python3
# Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
import os
import shlex
import subprocess
import sys
from typing import List
THIS_DIR = os.path.dirname(__file__)
IBEX_ROOT = os.path.join(THIS_DIR, ... | null | dv/uvm/core_ibex/scripts/scripts_lib.py | scripts_lib.py | py | 1,572 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
249686606 | from utils import variables
from logic_gates.quantum_gates import xnor
"""
Operands do not contain target!!!
"""
def weak_summation(bqm, operands, c_summation=variables.c_summation):
"""
This function uses an environment variable c_summation that ensures
that make qubits "agree" with each other.
A... | null | operations/simple_operations.py | simple_operations.py | py | 2,997 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.variables.c_summation",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "utils.variables",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.variables.c_summation",
"line_number": 42,
"usage_type": "attribute"
},
{
... |
187910227 | #!/usr/bin/env python3
import argparse
import os
import json
def merge_video_json( json_dict, video_json, current_activity_id ):
json_dict["filesProcessed"].extend(video_json["filesProcessed"])
for activity in video_json["activities"]:
activity["activityID"] += current_activity_id
json_dict["a... | null | scripts/cli_helpers/merge_videos.py | merge_videos.py | py | 2,392 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
332276550 | # -------------------------------------------
# Data classes for resonator bit-map config.
# -------------------------------------------
from dataclasses import dataclass, field
from typing import List, Dict
from pycqed.utilities.custom_exceptions import (
IdentifierFeedlineException,
)
from pycqed.utilities.readwr... | null | pycqed/instrument_drivers/meta_instrument/LutMans/ro_lutman_config.py | ro_lutman_config.py | py | 5,571 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dataclasses.field",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass... |
473550723 | ###==================================================
# HELPER FUNCTIONS (Part 1)
###==================================================
import numpy as np
import glob # to read files from dir
import cv2
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# Visualization function to be us... | null | pipeline_helper_functions.py | pipeline_helper_functions.py | py | 24,655 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots_adjust",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
47055608 | #coding:utf-8
__author__ = 'vova'
"""
pip3 install mongoengine
pip3 install tornado
"""
from tornado import httpserver
from tornado.ioloop import IOLoop
import tornado.web
import os
import tornado.web
from tornado import web
from controllers import MainHandler, BudgetHandler, LoginHandler, ProfileHandler
# урлы наше... | null | run.py | run.py | py | 1,504 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tornado.web",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "controllers.MainHandler",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "controllers.ProfileHandler",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "c... |
476669222 | # -*- coding: utf-8 -*-
import csv
import xlsxwriter
import MySQLdb
import MySQLdb.cursors
import os
import glob
import unicodedata
from xlrd import open_workbook
from xlutils.copy import copy
from copy import deepcopy
import locale
class LetterPosition:
letter = "",
location = ""
def __init__(self):
... | null | MST/5-DERCalculation/PredictDiacriticsAndLetterApproach/DER_Sukun_Fatha_Dictionary_Correction.py | DER_Sukun_Fatha_Dictionary_Correction.py | py | 29,606 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlsxwriter.Workbook",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "xlsxwriter.Workbook",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "MySQLdb.connect",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "MySQLdb.curso... |
592241299 | from django.urls import path
from . import views
app_name = 'billing'
urlpatterns = [
path('payment/', views.Payment, name='payment'),
path('receipt/', views.ChargeDetailView.as_view(), name='receipt'),
path('dashboard/', views.ChargeListView.as_view(), name='billing'),
]
| null | billing/urls.py | urls.py | py | 287 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
}
] |
332218847 | __author__ = 'Administrator'
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from django import template
register = template.Library()
from django.utils.text import Truncator
from django.utils.encoding import force_unicode
import re
def cut_str(str, length=10):
is_encode = False
tr... | null | PycharmProjects/seaapp/flylblog/1/blog/templatetags/cutecoding.py | cutecoding.py | py | 1,088 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
}
] |
557012431 | from typing import List, Optional, Union, Dict, Any
import IPython
import lazy_import
pl = lazy_import.lazy_module('pytorch_lightning')
np = lazy_import.lazy_module('numpy')
torch = lazy_import.lazy_module('torch')
nn = lazy_import.lazy_module('torch.nn')
torch_data = lazy_import.lazy_module('torch.utils.data')
AdamW... | null | mowgli/predictor/BaseLMPredictor.py | BaseLMPredictor.py | py | 8,649 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lazy_import.lazy_module",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lazy_import.lazy_module",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lazy_import.lazy_module",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
472518574 | #!/usr/bin/python3
# Takes in a URL, sends a request to the URL and
# displays the value of the variable X-Request-Id
# in the response header
if __name__ == "__main__":
'''argv[1] is the passed url and argv[2] the email'''
import requests
from sys import argv
if len(argv) == 1:
q = ""
els... | null | 0x11-python-network_1/8-json_api.py | 8-json_api.py | py | 655 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
}
] |
93959052 | import pytest
import tutils
import pathlib
import pdoc.extract
import pdoc.static
@pytest.mark.parametrize(
"modspec,ident,path",
[
("./modules/one", "one", "one.html"),
("./modules/dirmod", "dirmod", "dirmod.html"),
("./modules/submods", "submods", "submods/index.html"),
("./... | null | test/test_static.py | test_static.py | py | 1,934 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tutils.tdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pdoc.extract.extract.extract_module",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pdoc.extract.extract",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_nam... |
371795746 | # -*- coding:utf-8 -*-
# @Time : 2019-09-05
# @Author：lqc
# @Email:572948875@qq.com
# File : learn_element_location.py
# 元素定位
# id、classname、tagname、name
from selenium import webdriver
# 启动谷歌浏览器，开启与浏览器之间的会话
driver = webdriver.Chrome()
# 访问一个网页
driver.get("https://www.baidu.com")
# 方式一
ele = driver.find_element_by_... | null | WEB_AUTO_test/element_location_84/learn_element_location.py | learn_element_location.py | py | 1,672 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
}
] |
327304555 | """ Temporal aggregation class
This class defines the object TemporalAggregation and its methods
to perform temporal aggregation on time series of multi-regional energy systems
"""
import logging
import numpy as np
import pandas as pd
import csv
from pathlib import Path
import esmc.preprocessing.dat_print as dp
from ... | null | esmc/preprocessing/temporal_aggregation.py | temporal_aggregation.py | py | 15,486 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
43789402 | # -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# 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... | null | google/cloud/vision_v1/types/product_search.py | product_search.py | py | 8,095 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "proto.module",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "proto.Message",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.vision_v1.types.geometry.BoundingPoly",
"line_number": 77,
"usage_type": "attribute"
},
... |
375238126 | #importing the necessary libraries
import nltk.data
tokenizer = nltk.data.load('tokenizers/punkt/english.pickle')
from gensim.models import word2vec
import pandas as pd
from bs4 import BeautifulSoup
import re
#letters = re.sub("[^a-zA-Z]"," ",ex.get_text())
#Loading the labelled as well as unlabelled training data
t... | null | major.py | major.py | py | 2,275 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.data.data.load",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "nltk.data.data",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "nltk.data",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
... |
577862473 | #!/usr/bin/python
import matplotlib
import numpy
from pylab import *
from matplotlib import pyplot as pl
from matplotlib import axis as ax
from matplotlib.ticker import MultipleLocator#, FormatStrFormatter
#from scipy import integrate
from matplotlib.backends.backend_pdf import PdfPag... | null | trash_py/130715_shifted_dF_DF.py | 130715_shifted_dF_DF.py | py | 7,496 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.backends.backend_pdf.PdfPages",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
393646036 | import torch
from torch import nn
from torch import optim
from torch.nn import functional as F
from torch.utils.data import TensorDataset, DataLoader
from torch import optim
import numpy as np
import time
import re, os
from learn_model_CNN_SVM import learn_model
from copy import deepcopy
from sk... | null | pre_train_CNN_SVM.py | pre_train_CNN_SVM.py | py | 12,180 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.mean",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number... |
123809911 | '''
Created on 22.3.2012
@author: matej
'''
import sys
try:
import unittest2 as unittest
except ImportError:
import unittest
import tap
import logging
import subprocess
import os.path
class Test(unittest.TestCase):
def test_simple_statement(self):
name = "simple pass statement"
result = ta... | null | test/test_tap.py | test_tap.py | py | 2,694 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tap.PASS",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tap.TAPGenerator",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tap.SKIP",
... |
21009887 | import pytest
from sciwing.modules.embedders.bert_embedder import BertEmbedder
import itertools
from sciwing.utils.common import get_system_mem_in_gb
bert_base_types = [
"bert-base-uncased",
"bert-base-cased",
"scibert-base-cased",
"scibert-sci-cased",
"scibert-base-uncased",
"scibert-sci-uncas... | null | tests/modules/embedders/test_bert_embedder.py | test_bert_embedder.py | py | 2,619 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.product",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sciwing.utils.common.get_system_mem_in_gb",
"line_number": 22,
"usage_type": "call"
},
{
"api... |
110291979 | #!/usr/bin/env python2.7
import sys,re,io
from collections import defaultdict
def main():
args = getArgs()
tmap, herit = args.tmap, args.herit
tmap, geneMap = storeTmap(tmap = tmap)
herit = storeHerit(herit = herit)
getHeritIsosPerGene(herit = herit, tmap = tmap)
def getArgs():
import argparse
parser = argpar... | null | gen_reg_as_pDeltoides/eqtl/herit_isos_per_reg_gene.py | herit_isos_per_reg_gene.py | py | 1,548 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 45,
"usage_type": "call"
},
{
"api_name"... |
242634213 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This script modifies Proto-Slavic pages containing links to Slovene words
# to contain the tonal version of the word by looking it up in the entry.
import pywikibot, re, sys, argparse
import blib
from blib import getparam, rmparam, msg, site
GRAVE = "\u0300"
ACUTE... | null | fix_proto_slavic_slovene.py | fix_proto_slavic_slovene.py | py | 8,041 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.sub",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type"... |
337341864 | import argparse
import pickle
import os
import sys
from pdb import set_trace as bp
import numpy as np
import torch
#import gym
import my_pybullet_envs
import pybullet as p
import time
from a2c_ppo_acktr.envs import VecPyTorch, make_vec_envs
from a2c_ppo_acktr.utils import get_render_func, get_vec_normalize
import inspe... | null | main_test_grasp_move_place_cyl_s.py | main_test_grasp_move_place_cyl_s.py | py | 12,336 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"l... |
619892729 | # -*- coding: utf-8 -*-
# 版权所有 2019 深圳米筐科技有限公司（下称“米筐科技”）
#
# 除非遵守当前许可，否则不得使用本软件。
#
# * 非商业用途（非商业用途指个人出于非商业目的使用本软件，或者高校、研究所等非营利机构出于教育、科研等目的使用本软件）：
# 遵守 Apache License 2.0（下称“Apache 2.0 许可”），您可以在以下位置获得 Apache 2.0 许可的副本：http://www.apache.org/licenses/LICENSE-2.0。
# 除非法律有要求或以书面形式达成协议，否则本软件分发时需保持当前许可“原样”... | null | setup.py | setup.py | py | 2,639 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "setuptools.find_package... |
313340776 | import tensorflow as tf
import numpy as np
import os
import datetime
from utils import *
from ops import *
from networks import *
from data_loader_tensorflow_dataset import *
import time
class my_yolo3:
def __init__(self, sess, cfg):
self.sess = sess
self.cfg = cfg
self.m4_DataReader = m... | null | model.py | model.py | py | 15,476 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": ... |
644099580 | from unittest import TestCase
from unittest.mock import MagicMock
import pytest
from kubernetes import client
from libs.api import API_HTTP_URL, API_WS_HOST
from scheduler.spawners.templates.env_vars import (
get_env_var,
get_from_secret,
get_resources_env_vars,
get_service_env_vars
)
@pytest.mark.... | null | tests/test_spawner/test_env_vars.py | test_env_vars.py | py | 2,578 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "scheduler.spawners.templates.env_vars.get_env_var",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scheduler.spawners.templates.env_vars.get_env_var",
"line_number": 25,
... |
256764363 | import cv2
import matplotlib.pyplot as plt
import numpy as np
img=cv2.imread("c:/users/girishhegde/iitdimg/lena1.tiff",0)
cv2.imshow('img1',img)
tar=cv2.imread("c:/users/girishhegde/iitdimg/lena.tif",0)
cv2.imshow("original",tar)
def equhist(ipimg):
x,y=ipimg.shape
temp=np.zeros(ipimg.shape,np.uint8)
h=np.ze... | null | histogram_match.py | histogram_match.py | py | 2,999 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 10,
... |
609415491 | import unittest
import requests
import pytest
from run import app as create_app
class test(unittest.TestCase):
@pytest.fixture
def client(self):
create_app.testing = True
client = create_app.test_client()
yield client
def test_create(client):
res = requests.get('http://loc... | null | test/test_simple.py | test_simple.py | py | 706 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "run.app.testing",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "run.app",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "run.app.test_clien... |
75931674 | import pygame
from pygame.locals import *
from utils import *
from random import randint, choice
from numpy import array
import os
pygame.init()
font = pygame.font.SysFont('arial', 25)
rat_up = load_image("spr_rat_up.png")
rat_down = load_image("spr_rat_down.png")
rat_left = load_image("spr_rat_left.png")
rat_right =... | null | player_game/game.py | game.py | py | 19,033 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode... |
103793275 | # -*- encoding: utf-8 -*-
import time
import twisted.names.cache
from twisted.names import dns
from twisted.internet import defer
from twisted.python import failure
from log import log
class ResolverCache(twisted.names.cache.CacheResolver):
def clearAll(self):
'''
清空所有 Memory Dns 结果缓存。
... | null | network/dns-proxy/src/server/cache.py | cache.py | py | 1,279 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "twisted.names.cache.names",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "twisted.names.cache",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "log.log.info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "log.l... |
232851220 | import pandas as pd
import numpy as np
#nltk
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.stem import WordNetLemmatizer
#spacy
import spacy
import en_core_web_sm
nlp = en_core_web_sm.load()
#normalize
from normalise import normalise
import csv
import os
#####################################... | null | textPreprocessor.py | textPreprocessor.py | py | 4,588 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "en_core_web_sm.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"l... |
112881661 | from Utilities import bytesToInt, varInt
from utils.EncoderDecoder import decodeToAscii, switchEndianAndDecode
from io import BytesIO
from core.script.ScriptSig import ScriptSig
from unittest import TestCase, main
class TransactionInput:
def __init__(self, coinbase, sequence, prev_txid, prev_output_index=None, sc... | null | core/transaction/TransactionInput.py | TransactionInput.py | py | 2,400 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.EncoderDecoder.switchEndianAndDecode",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "Utilities.bytesToInt",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "Utilities.varInt",
"line_number": 49,
"usage_type": "call"
},
{
"... |
70410641 | #!/usr/bin/python3
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
#seed NSTA ID FRBMIN SLOTS TRANSMITTED LOGTRAN TIMEAA TIMERA STFLOW ACTIVE AVEF AVERB LOGTIMEAA EMPTYSLOTS NONEMPTYSLOTS BIGSTANUM EMRB SUCRB COLRB
fig, ax = plt.subplots(1, 2, ... | null | ana_sim_code/F-mortred/process.py | process.py | py | 5,382 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pandas.rea... |
230309783 | # -*- coding: utf-8 -*-
# + {}
#tensorflow 1.2.0 is needed
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os,time,scipy.io
import tensorflow as tf
import numpy as np
import utils as utils
import scipy.misc as sic
import subprocess
import argparse
# A... | null | fully_colorization/before_src/main_woflow-be.py | main_woflow-be.py | py | 8,752 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmax"... |
37081550 | # -*- coding: utf-8 -*-
import misc
import time
import datetime
spreadsheet = "Planning lave-vaisselle"
def get_month(excel):
months = ["janvier", "fevrier", "mars", "avril", "mai", "juin", "juillet", "aout", "septembre", "octobre", "novembre", "decembre"]
for i in range(0, len(months)):
if excel == months[i] : ... | null | dishwasher.py | dishwasher.py | py | 3,050 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "misc.log",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "misc.log",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "misc.log",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "misc.log",
"line_number": 32,
"usa... |
262931483 | import numpy as np
import os
import json
# Spotify API wrapper, documentation here: http://spotipy.readthedocs.io/en/latest/
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
# Authenticate with Spotify using the Client Credentials flow
client_credentials_manager = spotipy.oauth2.SpotifyClientCred... | null | mymix/mymix/spotify.py | spotify.py | py | 2,823 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "spotipy.oauth2.SpotifyClientCredentials",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "spotipy.oauth2",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "spotipy.Spotify",
"line_number": 14,
"usage_type": "call"
}
] |
611734725 | import sys
import numpy as np
import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
from statsmodels.tsa.arima_model import ARIMA
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
import os
os.environ['R_HOME'] = '/Library/Frameworks/R.framework/Resources'
import rpy2.robjects as... | null | estimation/statistics/time_series/arima.py | arima.py | py | 4,311 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.set_option",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.set_option... |
258978806 | from django.conf.urls import url
from .views import (
edit_quiz, add_question_to_quiz, edit_question, add_answer_to_question,
delete_question, reorder_answers, reorder_questions, delete_answer,
edit_answer,
)
urlpatterns = [
url(r'^edit_quiz/(?P<id>\d+)/$', edit_quiz, {}, 'edit-quiz'),
url(r'^edit... | null | quizblock/urls.py | urls.py | py | 1,040 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.edit_quiz",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.a... |
535197537 | #!/usr/bin/python3 -tt
# -*- coding: utf-8 -*-
__author__ = 'Bernard Gray'
__copyright__ = '(C) 2018 Bernard Gray <bernard.gray@gmail.com>'
__license__ = 'GPLv2 or any later version'
from subprocess import *
import argparse
import ast
import configparser
import logging as log
import os
import sys
import tempfi... | null | keycontrol/bin/gnome-custom-keybinding-setup.py | gnome-custom-keybinding-setup.py | py | 7,207 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
197608943 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 7/24/19 7:23 PM
@author: nirav
"""
from functools import partial
from shapely.ops import transform
from shapely import wkb
import pyproj
class RemoveLandFromGridCells:
def __init__(self, grids, landArea, **kwargs):
self.grids = grids
s... | null | Scripts/DataProcessing/RemoveLandFromGridCells.py | RemoveLandFromGridCells.py | py | 2,365 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "functools.partial",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyproj.transform",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pyproj.Proj",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pyproj.Proj",
... |
390691828 |
import torch
import torch.utils.data as data_utils
import torch.autograd as autograd
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Variable
from torch.nn.utils.clip_grad import clip_grad_norm_
from tensorboardX import SummaryWriter
import l... | null | code/pytorch_models/doc_similarity_model.py | doc_similarity_model.py | py | 7,222 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "humanfriendly.format_size",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pympler.asizeof.asizeof",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pympler.asizeof",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "zli... |
227052477 | # Status code:
# 0: Normal transfers
# 1: Missed transfers
# 2: Preemptive transfers
# 3: missing_a
# 4: missing_b
# 5: missing_records
# 6: Critical transfers
import csv
import json
import math
from pymongo import MongoClient
from datetime import timedelta, date
import time
import multiprocessing
# database setup
c... | null | scr/transfer/dedicated_transfer.py | dedicated_transfer.py | py | 12,291 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
... |
586549073 | import pyimagetest
import pytest
import torch
import pystiche.image as image_
from pystiche.image import transforms
from . import assert_is_identity_transform
def test_Crop(subtests, test_image):
origin = (200, 300)
size = (50, 30)
spatial_slices = {
("top", "left"): [
slice(origin... | null | tests/integration/image/transforms/test_crop.py | test_crop.py | py | 3,745 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pystiche.image.transforms.Crop",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pystiche.image.transforms",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "pyimagetest.assert_images_almost_equal",
"line_number": 42,
"usage_type": "call"... |
136683224 | #!/bin/env python
# coding:utf-8
import tarfile
import MeCab
import argparse
import re
import mojimoji
class Corpus:
def __init__(self,tarfile,outfile):
self.tarfile=tarfile
self.outfile=outfile
pass
def run(self):
items=[]
# http://d.hatena.ne.jp/cheeseshop/20070821/1... | null | src/10_corpus.py | 10_corpus.py | py | 3,383 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tarfile.TarFile.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tarfile.TarFile",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_n... |
537658665 | #imports
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.metrics import accuracy_score, log_loss
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.tree ... | null | entry3.py | entry3.py | py | 11,248 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figur... |
159813318 | from parameters import *
import os, copy, json, sys, random, pickle
import nltk
from read_data_util import *
from collections import *
#For tokenization
nlp = StanfordCoreNLP('http://localhost', port=8000)
data_type = sys.argv[1]
if data_type == 'val':
data_dir = val_dir
else:
data_dir = test_dir
#Dependency P... | null | gcn3/read_data_val_or_test.py | read_data_val_or_test.py | py | 10,244 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 3... |
548516277 | from nsepy import get_history
from datetime import datetime,timedelta,date
import pandas as pd
import numpy as np
import datetime
import matplotlib
import operator
import itertools
from nsepy.symbols import get_symbol_list, get_index_constituents_list
import matplotlib.pyplot as plt
import warnings
warnings.filterwarni... | null | shortterm_main1111.py | shortterm_main1111.py | py | 8,640 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.pivot_... |
62297324 | from django.core.urlresolvers import reverse
from ..models import Person
from .base import TestBase
class TestPerson(TestBase):
'''Test cases for persons.'''
def setUp(self):
super().setUp()
self._setUpUsersAndLogin()
def test_display_person_correctly_with_all_fields(self):
respo... | null | workshops/test/test_person.py | test_person.py | py | 4,242 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base.TestBase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
431116463 |
__all__=['SharedRepo', 'SharedRepoSession']
import threading, time, os, datetime, platform, tempfile, json
repos = {}
class DummyLock(object):
def __init__(self, lockfile, lifetime=None): pass
def refresh(self): pass
def lock(self): pass
def unlock(self): pass
if platform.system()=='Windows':
... | null | webserver/cogenda_app/lib/shared_repo.py | shared_repo.py | py | 5,046 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "platform.system",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lockfile.Lock",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "threading.Event",
... |
436332827 | '''
Returns total price paid for individual rentals
'''
import argparse
import json
import datetime
import math
import logging # in class 7/16
def parse_cmd_arguments():
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('-i', '--input', help='input JSON file', requi... | null | students/colephalen/lesson02/assignment/src/charges_calc.py | charges_calc.py | py | 3,838 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.str... |
133525962 | import csv
import sys
import hiive.mdptoolbox as mdptoolbox
import hiive.mdptoolbox.example
from hiive.mdptoolbox.mdp import ValueIteration, PolicyIteration, QLearning
import numpy as pynp
import pandas as pypd
import matplotlib.pyplot as pymap
import seaborn as pysb
import time
Trans = {}
Rew = {}
#gamma is the dis... | null | fl.py | fl.py | py | 8,513 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
138470988 | import networkx as nx
import matplotlib.pyplot as plt
import csv
from networkx.algorithms import bipartite
# Define Nodes
nodes1 = [1, 2, 3]
nodes2 = ['A','B','C','D','E']
# Define Edges
edges = [(1,'A'),(1,'B'),(1,'C'),(1,'D'),(2,'B'),(2,'C'),(2,'D'),(3,'C'),(3,'D'),(3,'E')]
# Generate a normal networkx Graph
# ... | null | algorithms/common_neighbours_first_iteration.py | common_neighbours_first_iteration.py | py | 2,004 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "networkx.Graph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "networkx.algorithms.bipartite.sets",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "networkx.algorithms.bipartite",
"line_number": 24,
"usage_type": "name"
},
{
"a... |
35457039 | #!/usr/bin/python2
import dbus
import dbus.bus
import dbus.service
import dbus.mainloop.glib
import gobject
import gtk
import gtk.gdk
import os
import signal
import gobject
import subprocess
import socket
import time
import struct
import fcntl
def addCA(path, db_name):
child_pid = os.fork()
if child_pid != 0:... | null | standard_edition_linux_desktop/src/vestige_python2_launcher.py | vestige_python2_launcher.py | py | 13,992 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.fork",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.waitpid",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nss.nss.nss_init_read_write",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nss.nss",
"line_nu... |
166267326 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /home/quincy/Code/valuehorizon-people/people/migrations/0001_initial.py
# Compiled at: 2015-05-08 17:59:14
from __future__ import unicode_literals
from django.db... | null | pycfiles/valuehorizon-people-0.2.tar/0001_initial.py | 0001_initial.py | py | 2,026 | 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.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
13911091 | """Run predictions for COVID-19 model"""
import numpy as np
import xarray
import pickle as pkl
import tensorflow as tf
from covid import model_spec
from gemlib.util import compute_state
def predicted_incidence(posterior_samples, covar_data, init_step, num_steps):
"""Runs the simulation forward in time from `ini... | null | covid/tasks/predict.py | predict.py | py | 3,865 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "covid.model_spec.CovidUK",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "covid.model_spec",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "tensorflow.function",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "ge... |
536962348 | import unittest
import test_case_crm
from ddt import ddt
# excelPath='D:\PythonPrp\HTMLTestRunner\crm_report.xlsx'
# sheetName='Sheet1'
#
# #创建ParseExcel类的实例对象
# excel=ParseExcel(excelPath,sheetName)
@ddt
class MyTestCase(unittest.TestCase):
def setUp(self):
self.run=test_case_crm.test_mock()
# 导入e... | null | Text_py/unittest_excel_html/html_excel_py.py | html_excel_py.py | py | 921 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "test_case_crm.test_mock",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "test_case_crm.test_kdear",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_... |
222471516 | import json
import requests
from bs4 import BeautifulSoup
from src.common.utils import Utils
from src.definitions import ADDR_CODE_DATA_DIR as DATA_DIR
class AddressCode:
"""
This class contains methods to crawl the address codes into Python dicts,
save the dicts as json files and read them from these j... | null | src/common/ChineseIDValidator/addr_code_crawler.py | addr_code_crawler.py | py | 3,178 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
401388346 | import mock
from builder import build, errors
from builder.tests.utils import PatchCase
class LogDockerVersionCase(PatchCase):
mocks = {'log': 'builder.build.public_log'}
def mockUp(self):
self.mock_version = mock.MagicMock(return_value=dict(a=1, b=2, c=3))
self.mock_client = mock.MagicMock(... | null | stage/builder/tests/test_build.py | test_build.py | py | 4,066 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "builder.tests.utils.PatchCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "mock.MagicMock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "builder.bu... |
116048735 | # -*- coding: utf-8 -*-
# function that can print out a board
from IPython.display import clear_output
def display_board(board):
clear_output()
print(board[7]+'|'+board[8]+'|'+board[9])
print('- '+'- '+'- ')
print(board[4]+'|'+board[5]+'|'+board[6])
print('- '+'- '+'- ')
print(board[1... | null | Tic_Tac_Toe/tic tac toe.py | tic tac toe.py | py | 4,870 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "IPython.display.clear_output",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 42,
"usage_type": "call"
}
] |
256353125 | # -*- coding: utf-8 -*-
import scrapy
import os
from aussie_gov.items import MemberItem ## wtf? fix this!
import re
import logging
from datetime import datetime
class MemberSpider(scrapy.Spider):
name = 'member'
allowed_domains = ['www.aph.gov.au']
start_urls = ['https://www.aph.gov.au/Senators_and_Memb... | null | aussie_gov/aussie_gov/spiders/member.py | member.py | py | 1,875 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"... |
511326420 | import requests
import json
from bs4 import BeautifulSoup
# Gets all the weapons urls so we can scrap them for info
def getAllWeapons():
# Send request and pass it through our html parser
responce = requests.get("https://mhworld.kiranico.com/weapons")
soup = BeautifulSoup(responce.text, "html.parser")
weap... | null | main.py | main.py | py | 5,834 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"l... |
43290501 | from classytags.core import Options
from classytags.arguments import Argument, KeywordArgument
from classytags.helpers import InclusionTag
from django import template
from django.db.models.loading import get_model
import urllib
register = template.Library()
class PaginationCtl(InclusionTag):
name = 'pagination_c... | null | apps/common/templatetags/common_tags.py | common_tags.py | py | 1,659 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.Library",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "classytags.helpers.InclusionTag",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
486970656 | import time, datetime, argparse, cv2, os
from models.model_train_detector import Model_Train
from utils.utils import *
from datagenerator.genGenerator import read_record_single_cls, apply_aug_single_cls
import tensorflow_datasets as tfds
import tensorflow as tf
os.environ['CUDA_VISIBLE_DEVICES']='0'
os.environ['TF_FORC... | null | ocr_onnx/trainer_detector.py | trainer_detector.py | py | 3,453 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"... |
28925653 | import tweepy
import keys
# Authenticate to Twitter
auth = tweepy.OAuthHandler(keys.CONSUMER_KEY, keys.CONSUMER_SECRET)
auth.set_access_token(keys.ACCESS_TOKEN, keys.ACCESS_TOKEN_SECRET)
api = tweepy.API(auth,wait_on_rate_limit=True)
# setup
nazwa = "factbot1"
def HaveFriendship(nazwa):
haveFriendship = 0
i... | null | PytonRozpoznawczy_1.0/MyFriendsHaveFriendship.py | MyFriendsHaveFriendship.py | py | 1,347 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "keys.CONSUMER_KEY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "keys.CONSUMER_SECRET",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "key... |
359801039 | import xlrd
import nltk
from nltk.corpus import stopwords
from string import punctuation
stopwords = set(stopwords.words('english') + list(punctuation))
stopwords.add('This')
# nltk.download('punkt')
# nltk.download('stopwords')
class ReadKeywords(object):
def __init__(self):
self.list_key = []
def ... | null | excel/excel_item.py | excel_item.py | py | 2,113 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.corpus.stopwords",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": ... |
347729207 | import sys
sys.path.append('../puppetboard')
import unittest
from fact_querier import *
import logging
import json
from pypuppetdb.types import Fact
from fake_puppet_db import FakePuppetDb
DATA1 = [
{'certname' : 'node1',
'operatingsystem' : 'RedHat',
'processorcount' : '1',
'puppetversion' :... | null | tests/test_fact_querier.py | test_fact_querier.py | py | 25,630 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"lin... |
629742536 | from rest_framework import serializers
from api.models import Category, Writer, Book, BookImage
class CategorySerializer(serializers.Serializer):
id = serializers.IntegerField(read_only=True)
name = serializers.CharField()
def create(self, validated_data):
category = Category()
category.... | null | smthNew/back/bookstore_back/api/serializers.py | serializers.py | py | 1,344 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.IntegerField",
"line_number": 7,
"usage_ty... |
223917481 | import requests
from fake_useragent import UserAgent
from pymongo import MongoClient
from pymongo.errors import DocumentTooLarge
HEADER = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'Accept-Encoding': 'gzip, deflate... | null | python/models/DocumentRetriever.py | DocumentRetriever.py | py | 5,325 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pymongo.err... |
566349796 | import unittest
import requests
import json
from src.utils.config import init_config
_API_URL = 'http://localhost:5000'
_CONFIG = init_config()
_INDEX_NAMES = [
_CONFIG['index_prefix'] + '.index_1',
_CONFIG['index_prefix'] + '.index_2',
_CONFIG['index_prefix'] + '.narrative',
*[_CONFIG['index_prefix']... | null | src/test/test_legacy.py | test_legacy.py | py | 13,865 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "src.utils.config.init_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json... |
138520624 | """ Test BIG-IP module """
import json
import tempfile
import shutil
from os import path
from f5sdk import exceptions
from f5sdk.bigip.extension import ExtensionClient
from f5sdk.utils import http_utils
from ....global_test_imports import pytest, Mock, PropertyMock
from ....shared import constants
from ....shared i... | null | tests/unit/bigip/extension/test_extension.py | test_extension.py | py | 19,105 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "shared.constants.TOKEN",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "shared.constants",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "shared.constants.MOCK",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name"... |
134238776 | import typing
from datetime import datetime
import discord
import utils.globals as GG
from discord.ext import commands
from cogsAdmin.models.case import Case, getCaseEmbed
from cogsAdmin.models.caseStatus import CaseStatus
from cogsAdmin.models.caseType import CaseType
from utils import logger
from utils.functions i... | null | cogsAdmin/note.py | note.py | py | 1,463 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.logger.logger",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "utils.logger",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "d... |
577165105 | import os
import json
def load(path):
if not os.path.exists(path):
return []
with open(path, 'r', encoding='utf-8') as f:
s = f.read()
return json.loads(s)
def save(path, data):
s = json.dumps(data, indent=4, ensure_ascii=False)
with open(path, 'w+', encoding='utf-8') as f:
... | null | model.py | model.py | py | 3,334 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
548009235 | #!/usr/bin/env python -O
import os
import sys
import bisect
import os.path
import ijson
import numpy as np
from datetime import date, datetime, timedelta
from netCDF4 import Dataset
'''
Testing Commands:
Jerome: python hyperspectral_flux_based_calibration.py "10/15/2016 18:37:44" .
ROGER : python hyperspectral_flux_... | null | scratch/hyperspectral_flux_based_calibration.py/hyperspectral_flux_based_calibration.py | hyperspectral_flux_based_calibration.py | py | 6,553 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_n... |
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