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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
112066565 | import datetime
import cv2
from PIL import Image
from django.http import JsonResponse
from django.shortcuts import render
from django.views.generic import TemplateView
from image_input.models import Entry, WEEKDAY_MAP
from recognition.decoder import dict_decode
from recognition.main import predict, predict_ru
from re... | null | image_input/views.py | views.py | py | 4,019 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name... |
501282386 | import torch.nn.functional as F
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.experiments.disentanglement.disentangled_encoder_distance_launcher import (
use_disentangled_encoder_distance
)
from rlkit.launchers.launcher_util import run_experiment
if __name__ == "__main__":
variant = dict(
... | null | experiments/vitchyr/disentanglement/pointmass/state_based_disentangled_encoder_distance.py | state_based_disentangled_encoder_distance.py | py | 4,254 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.functional.tanh",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "rlkit.misc.hyperparameter.DeterministicHyperparameterSweeper",
"line_number": 103,
"usa... |
651876450 | #!/usr/bin/env python
import sys
import os
from openpyxl import Workbook
from openpyxl import load_workbook
from openpyxl.worksheet.table import Table
def removeSpaces(line):
return "_".join(line.split(" "))
def padZero(i):
return ("00" + str(i))[-3:]
if len(sys.argv) != 3:
print("Usage: python start.py ... | null | makeMetadata.py | makeMetadata.py | py | 5,232 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 20... |
220761909 | import unittest
import pytest
from datetime import timedelta
from Money import *
from Exceptions import *
from Parkomat import *
class ParkomatTesty(unittest.TestCase):
"""
Klasa testowa
"""
def test_niepoprawna_godzina(self):
"""
test zmiany czasu na błedną godzinę
:return:
... | null | TestyParkomat.py | TestyParkomat.py | py | 4,313 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.... |
324459293 | import cv2
import argparse
import glob
import os
ap = argparse.ArgumentParser()
ap.add_argument('-d', '--dataset', required = True, \
help = 'Path to the input image')
args = vars(ap.parse_args())
dataset= args["dataset"]
print('처리중...')
verbose=True
imagePath=os.path.join('D:\Emotion3\resultss')
face_c... | null | face.py | face.py | py | 1,286 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifie... |
337398179 | from time import sleep
from random import randint
from pprint import pprint
from praw import Reddit
from praw.models import MoreComments
from tweepy import OAuthHandler, API
import secrets # gitignored file which has all the credential keys
# Reddit instance
reddit = Reddit(client_id=secrets.reddit_id,
... | null | src/reddit-bot.py | reddit-bot.py | py | 3,259 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "praw.Reddit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "secrets.reddit_id",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "secrets.reddit_secret",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "secrets... |
71447065 | from typing import List
import numpy
import PIL.Image
import torch
import torchvision
def rand(min: float, max: float) -> float:
return numpy.random.rand() * (max - min) + min
class Compose(object):
"""
复合多种变换操作
"""
def __init__(self, transforms):
self.transforms = transforms
def... | null | dataset/transform.py | transform.py | py | 13,966 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.rand",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.Image",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
... |
107846984 | import numpy as np
from scipy.stats import multivariate_normal
import matplotlib.pyplot as plt
size = 1000
count = 501
var = 3000
e = 0.97
move = 30
pos = 100
m = np.ones((size, size))
plt.ion()
plt.imshow(m, cmap='hot', interpolation='nearest')
plt.draw()
def update():
global pos, size, var, e, move, m
a = ... | null | scripts/map_display_test.py | map_display_test.py | py | 756 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ones",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
510021118 | import gensim
from get_post import get_posts
from diploma.porter_2 import Porter
STOP_LIST = [
'еще', 'него', 'сказать'
'а', 'ж', 'нее', 'со',
'без', 'же', 'ней', 'совсем',
'более', 'жизнь', 'нельзя', 'так',
'больше', 'за', 'нет', 'такой',
'будет', 'зачем', 'ни', 'там',
'будто', 'здесь',... | null | diploma/runner.py | runner.py | py | 4,540 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "diploma.porter_2.Porter.stem",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "diploma.porter_2.Porter",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "gensim.parsing.preprocessing.preprocess_string",
"line_number": 68,
"usage_type": "c... |
388386942 |
# Add project path to sys
import sys
import pathlib
my_current_path = pathlib.Path(__file__).parent.absolute()
my_root_path = my_current_path.parent
sys.path.insert(0, str(my_root_path))
# Import my lib
# from others.utilities import checkClassProportions
import others.utilities as my_util
from sklearn.model_selecti... | null | Scripts/testrun_2.py | testrun_2.py | py | 2,644 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_n... |
127446757 | import cv2
import os
import numpy as np
import utils
config = utils.load_json(os.path.join('lib', 'config.json'))
# Choose video and output folder
videolist = os.listdir(config['sourceFolder'])
tmp = utils.select('Choose the video you want to extract: ', videolist, defaultChoose=0)
videopath = os.path.join(... | null | extract_image.py | extract_image.py | py | 2,387 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.load_json",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number"... |
490318129 | """Support for SleepIQ sensors."""
from homeassistant.components.binary_sensor import (
DEVICE_CLASS_OCCUPANCY,
BinarySensorEntity,
)
from . import SleepIQSensor
from .const import DOMAIN, IS_IN_BED, SENSOR_TYPES, SIDES
def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Sl... | null | homeassistant/components/sleepiq/binary_sensor.py | binary_sensor.py | py | 1,415 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "const.DOMAIN",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "const.SIDES",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "homeassistant.components.binary_sensor.BinarySensorEntity",
"line_number": 27,
"usage_type": "name"
},
{
... |
69286866 | import logging
from elasticsearch import Elasticsearch
from elasticsearch import helpers
logger = logging.getLogger('perf-collector')
handler = logging.StreamHandler()
logger.addHandler(handler)
class ElasticsearchAPI:
"""
Each query will have its own index based on query name.
index_name = query.name
... | null | Elasticsearch_API.py | Elasticsearch_API.py | py | 2,582 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ela... |
213442525 | #** Priscilla Nunez
#** SI 364 F18
#** 9/15/18
#################################
## List below here, in a comment/comments, the people you worked with on this assignment AND any resources you used to find code (50 point deduction for not doing so). If none, write "None".
#*** HW1 numbers 1 to 4 are my own solutions ... | null | SI364F18_HW1.py | SI364F18_HW1.py | py | 7,551 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_... |
409822189 | import collections
import re
SIDE_SIZE = 1000
# Puzzle 2
f = open('./input.txt', 'r')
input_lines = f.readlines()
f.close()
class Rect():
def __init__(self, in_str):
re_match = re.match(r'#(\d+) @ (\d+),(\d+): (\d+)x(\d+)', in_str)
self.id = int(re_match.group(1))
self.left = int(re_matc... | null | Day 3/puzzle2.py | puzzle2.py | py | 1,303 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.match",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 33,
"usage_type": "call"
}
] |
643234978 | import cv2
import numpy as np
img = cv2.imread("dataset/examples/apertura.png", 0)
cv2.imshow('Paradigma', img)
cv2.waitKey(0)
kernel = np.ones((5, 5), np.uint8)
opening = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel)
cv2.imshow('Paradigma', opening)
cv2.waitKey(0)
cv2.destroyAllWindows()
| null | tip_01_04_c.py | tip_01_04_c.py | py | 294 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 9,
... |
97262884 | import csv
import requests
from bs4 import BeautifulSoup
headers = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.135 Safari/537.36"}
#url = "https://finance.naver.com/sise/sise_market_sum.nhn?&page="
#https://finance.naver.com/sise/sise_market_s... | null | nadocode/12_csv_stock_samsung.py | 12_csv_stock_samsung.py | py | 1,499 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.writer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
}
] |
20161886 | import os
import subprocess
from datetime import datetime
def execute(dir, cmd_string):
cmds = command_string.split("&")
for i in range(len(cmds)):
atomic_cmd = f"cd {dir} & {cmds[i].strip()}"
log(atomic_cmd)
cmd = atomic_cmd.split(" ")
log(subprocess.call(cmd, shell=True))
... | null | Startup/osu_git.py | osu_git.py | py | 684 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.call",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.expan... |
374015572 | #!/usr/bin/env python3
import numpy as np
from stdParams import *
import os
import sys
import glob
from pathlib import Path
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
mpl.style.use('matplotlibrc')
plt.rc('text.latex', preamble=r'''
\usepackage{dejavu}
\renewcommand*\famil... | null | code/ESN_code/plotting/plot_T_conv.py | plot_T_conv.py | py | 3,209 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "seaborn.set",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.style.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyp... |
632792944 | # -*- coding: utf-8 -*-
from datetime import date, datetime
from odoo import models, fields, api, tools, exceptions, _
import logging
from odoo.modules import get_module_resource
import base64
from odoo.addons.base.models.res_partner import WARNING_MESSAGE, WARNING_HELP
_logger = logging.getLogger(__name__)
class P... | null | addons/berp_usuarios/res_partner.py | res_partner.py | py | 8,358 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetim... |
231843080 | import os
import pygame
GAME_FOLDER = os.path.dirname(__file__)
IMG_FOLDER = os.path.join(GAME_FOLDER, '..', "images")
SND_FOLDER = os.path.join(GAME_FOLDER, '..', "sounds")
file_cache = {}
def load_img(name, scale=1):
""" Load image and return image object"""
fullname = os.path.join(IMG_FOLDER, name)
t... | null | Assignment2/utils/load_assets.py | load_assets.py | py | 1,610 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5... |
518136132 | #!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# Create the RenderWindow, Renderer and both Actors
#
ren1 = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.AddRenderer(ren1)
iren = vtk.vtkRenderWindowInteractor()
iren.SetR... | null | Filters/Modeling/Testing/Python/TestImageMarchingCubes.py | TestImageMarchingCubes.py | py | 1,758 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "vtk.util.misc.vtkGetDataRoot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "vtk.vt... |
76952359 | """
1. Подсчитать, сколько было выделено памяти под переменные в ранее
разработанных программах в рамках первых трех уроков. Проанализировать
результат и определить программы с наиболее эффективным использованием памяти.
Примечание: Для анализа возьмите любые 1-3 ваших программы или несколько
вариантов кода для одной и... | null | Lesson_6/1.py | 1.py | py | 2,293 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "memory_profiler.profile",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "memory_profiler.profile",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sys.getsizeof",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.... |
181147968 | import time
import smtplib
import os
import math
import datetime
from multiprocessing import Process
import warnings
import sys
import csv
import psycopg2.extras
import logging
from search import GoogleSearch
from crawler import Crawler, scheduleJobs
from database import RedirectDB
from typosquatting import Typosquatt... | null | main.py | main.py | py | 8,492 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "database.RedirectDB",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_nu... |
238444997 | import io
import time
import pickle
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from power_data_handler import PowerDataHandler, MergePowerHandler
from prediction_graph import FFTpredictionGraph
from IPython.core.debugger import Pdb
debug_here = Pdb().set_trace
fifteen_minute_sampling = ... | null | power_experiments/power_train_exp.py | power_train_exp.py | py | 16,780 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "IPython.core.debugger.Pdb",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "power_data_handler.PowerDataHandler",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "power_data_handler.PowerDataHandler",
"line_number": 60,
"usage_type": "cal... |
433260176 | import logging
import sys
from pathlib import Path
from datetime import datetime
from Pegasus.api import *
logging.basicConfig(level=logging.DEBUG)
PEGASUS_LOCATION = "/usr/bin/pegasus-keg"
# --- Work Dir Setup -----------------------------------------------------------
RUN_ID = "black-diamond-5.0api-" + datetime.... | null | test/core/001-black-diamond-vanilla-condor-5.0API/black-diamond-setup.py | black-diamond-setup.py | py | 5,162 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
135454080 | #https://python-twitter.readthedocs.io/en/latest/twitter.html#module-twitter.api
import twitter
import configparser
from os import path
config = configparser.ConfigParser()
config.read('config.ini')
if not path.exists('counter.txt'):
newfile = open('counter.txt', 'w+')
newfile.write(str(0))
newfile.close... | null | twitter/script.py | script.py | py | 994 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "twitter.Api",
"li... |
133417081 | import logging
from GlobalVariable import *
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait # available since 2.4.0
from selenium.webdriver.support import expected_conditions as EC # available since 2.26.0
cla... | null | src/LocalDriver.py | LocalDriver.py | py | 2,387 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.F... |
540153000 | from typing import Union
from loguru import logger
from pyrogram import Client, filters
from pyrogram.errors import (
ChannelPrivate,
InviteHashInvalid,
PeerIdInvalid,
RPCError,
UsernameInvalid,
UsernameNotOccupied,
)
from pyrogram.types import Chat, ChatPreview, Message, User
from app.utils i... | null | app/plugins/resolve.py | resolve.py | py | 4,816 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyrogram.Client",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pyrogram.types.Message",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "app.utils.get_args",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyrogram.ty... |
535326244 | import numpy.matlib
import numpy as np
import sys
from copy import deepcopy
import matplotlib.pyplot as plt
import scipy
import random
import logging
from random import randint
import csv
import pandas as pd
import math
from scipy.spatial.distance import pdist, squareform
def dist(X,Y):
distance = ((X[0] - Y[0]... | null | hashtags__clusters_grouping.py | hashtags__clusters_grouping.py | py | 3,915 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
108090933 | import numpy as np
import hashlib
import pandas as pd
from sklearn.preprocessing import OneHotEncoder
from sklearn.externals import joblib
#processes the origin date column and expresses it in number of days
def processBusinessDates(dates, current_timestamp) :
age = []
for i in range(len(dates)) :
#i... | null | un_transforms.py | un_transforms.py | py | 7,897 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.Timestamp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp.timestamp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "num... |
334737713 | import sys
import os
import re
import asyncio
from urllib.parse import quote, urlparse
if __name__ == '__main__':
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
from applib.tools_lib import pcformat
sys.path.append(os.path.abspath(os.path.dirname(__file__)))
from applib.to... | null | applib/sku_lib.py | sku_lib.py | py | 6,202 | 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": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
532289363 | import os
import sqlite3
class Data_Access:
def __init__(self, db_file = "signups.db"):
database_already_exists = os.path.exists(db_file)
self.db = sqlite3.connect(db_file)
if not database_already_exists:
self.setup_default()
self.table_name = "accounts"
def... | null | data_access.py | data_access.py | py | 1,761 | 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": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
}
] |
651201928 | import time
from slack.element_slack.messages import Messages
from slack.workspace.workspaces import Workspaces
from slack.element_slack.channels_files import ChannelsFiles
from slack.element_slack.users import Users
import json
class WorkspacesSlackArchive(Workspaces):
def __init__(self, path_dir, name_workspac... | null | slack/workspace/workspace_slackarchive.py | workspace_slackarchive.py | py | 2,524 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "slack.workspace.workspaces.Workspaces",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "slack.elem... |
68377521 | import collections, copy, importlib, io, logging, sys, threading, time, traceback, datetime
from enum import IntEnum
from contextlib import contextmanager
from typing import List, NamedTuple
import ruxit.api.data, ruxit.api.exceptions, ruxit.api.selectors, ruxit.config_utils
import ruxit.utils._logging.engine_logging
... | null | venv/Lib/site-packages/ruxit/plugin_state_machine.py | plugin_state_machine.py | py | 30,144 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
184775513 | from py2neo import Graph, Node, Relationship, NodeMatcher
from datetime import datetime
import uuid
graph = Graph("http://localhost:7474", username="neo4j", password="neo4j1")
matcher = NodeMatcher(graph)
class Person:
def __init__(self, username):
self.username = username
def find(self):
us... | null | tutor/models.py | models.py | py | 16,529 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "py2neo.Graph",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "py2neo.NodeMatcher",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_num... |
18052221 | from tkinter import ttk
import requests
from tkinter import messagebox
import time
from ttkthemes import ThemedTk
def print_weather(weather):
try:
city = weather['name']
country = weather['sys']['country']
temp = weather['main']['temp']
press = weather['main']['pressure... | null | wether.py | wether.py | py | 2,083 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tkinter.messagebox.showerror",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "ttktheme... |
32365158 | print("hello.. This is Equipments working and non working hours calculation tool")
#filepath = input("Enter file path: ")
import pyexcel as pe
from pyexcel.ext import xlsx
sheet = pe.get_sheet(file_name="/home/bharathi/EquipmentDetails/April-may2016.xlsx")
sheet.delete_rows([0])
matrix = list()
for row in sheet:
ra... | null | main.py | main.py | py | 1,989 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyexcel.get_sheet",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "da... |
589815133 |
import mimetypes
import cloudfiles
from cloudfiles.errors import NoSuchObject, ResponseError
from flask import current_app
from werkzeug.utils import cached_property
from .base import Storage, StorageFile, reraise
__all__ = ('CloudFilesStorage',)
class CloudFilesStorage(Storage):
def __init__(self,
... | null | flask_storage/cloudfiles.py | cloudfiles.py | py | 3,921 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base.Storage",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.current_app.config.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.current_app.config",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name"... |
295755953 | import nose
import pandas as pd
import pandas.util.testing as tm
import pandas_datareader.data as web
from pandas_datareader._utils import RemoteDataError
class TestGoogleOptions(tm.TestCase):
@classmethod
def setUpClass(cls):
super(TestGoogleOptions, cls).setUpClass()
# goog has monthlies
... | null | pandas_datareader/tests/test_google_options.py | test_google_options.py | py | 1,572 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.util.testing.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.util.testing",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pandas_datareader.data.Options",
"line_number": 15,
"usage_type": "call"
},
{
... |
230057024 | #Hoeffding Inequality
import numpy as np
import matplotlib.pyplot as plt
ncoins = 10
nflips = 1000
iterations = 100000
flip_lambda = lambda ncoins, p, nflips: np.random.binomial(ncoins, .5, size=nflips)
flips = flip_lambda(ncoins, .5, nflips)
# print(flips)
v_1, v_rand, v_min = [np.zeros(iterations), np.zeros(iteratio... | null | scikit-learn-master/hw2_redo.py | hw2_redo.py | py | 1,809 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.binomial",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.randin... |
96067222 | from kivy.uix.widget import Widget
from kivy.graphics import *
from utils import *
class Arena(object):
def __init__(self, naubino, mode, game):
with game.back.canvas:
self.layer = Widget()
with self.layer.canvas:
Color(0, 0, 0, 0.05)
... | null | src/naubivy/naubivy_arena.py | naubivy_arena.py | py | 371 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "kivy.uix.widget.Widget",
"line_number": 9,
"usage_type": "call"
}
] |
314610322 | import csv
import cv2
import numpy as np
import sklearn
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers.core import Dense, Flatten, Lambda
from keras.layers.convolutional import Conv2D, Cropping2D
from keras.layers.normalization import BatchNormalization
DATA... | null | model.py | model.py | py | 4,794 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.backend.tf.image.resize_images",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.backend.tf.image",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "keras.backend.tf",
"line_number": 27,
"usage_type": "name"
},
{
... |
445911266 | import numpy
from gym import spaces
from .base import BaseOddsEnv
class BasePercentageOddsEnv(BaseOddsEnv):
"""Base class for sports betting environments with non fixed bet size.
Creates an OpenAI Gym environment that supports betting a non fixed amount
on a single outcome for a single game.
The mai... | null | oddsgym/envs/base_percentage.py | base_percentage.py | py | 2,230 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base.BaseOddsEnv",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Box",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_num... |
421029736 | from styx_msgs.msg import TrafficLight
import tensorflow as tf
import numpy as np
import datetime
class TLClassifier(object):
def __init__(self, is_site):
# load classifier
if is_site:
PATH_TO_GRAPH = r'models/site/ssd_mobilenet_frozen_inference_graph.pb'
else:
PATH_... | null | ros/src/tl_detector/light_classification/tl_classifier.py | tl_classifier.py | py | 3,071 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.Graph",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.GraphDef",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile.GFile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflo... |
425309605 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 11 12:17:54 2017
@author: A
"""
import tensorflow as tf # Version 1.0 or 0.12
import numpy as np
import matplotlib.pyplot as plt
import os
plt.close('all')
inSeq=20
outSeq=20
batchSize = 50
ioputDim=2
hiddenDim =30
numIterLearning = ... | null | Scripts/Codes/TensorflowGPUPredictFinal.py | TensorflowGPUPredictFinal.py | py | 10,474 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
362277632 | from bs4 import BeautifulSoup
import httplib, re
from collections import defaultdict
import webbrowser
from PyQt4 import QtGui
from PyQt4.QtCore import QString, QTimer
import main_window
import settings_diag
import os, glob, pickle
class MainApp(QtGui.QMainWindow, main_window.Ui_MainWindow):
""" MainApp Class that... | null | search.py | search.py | py | 7,053 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt4.QtGui.QMainWindow",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "main_window.Ui_MainWindow",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name"... |
435953086 | import torch
from torch import nn
from models.blocks.conv_bn_relu import conv_bn_relu
from models.operator.cross_correlation.func import xcorr_depthwise
class SiamFCXCorr(nn.Module):
def __init__(self, input_dim: int, hidden_dim: int):
super(SiamFCXCorr, self).__init__()
# feature adjustment
... | null | models/TransT/neck/xcorr.py | xcorr.py | py | 867 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.blocks.conv_bn_relu.conv_bn_relu",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "m... |
223413372 | from sklearn.model_selection import StratifiedKFold
from sklearn.pipeline import Pipeline
from sklearn.dummy import DummyClassifier
from pandas import DataFrame
import numpy as np
from sklearn.datasets import load_digits
import sys
from autoclf import auto_utils as au
from autoclf.classification import eval_utils as ... | null | examples/digits_train.py | digits_train.py | py | 2,048 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_na... |
599474942 | import collections
from palo_alto_firewall_analyzer.core import BadEntry, register_policy_validator
def find_local_similar_names(devicegroup_objects, device_group, object_type1, object_type2):
"""Finds objects in a single devicegroup which have names which conflict with each other.
For example, Address object... | null | palo_alto_firewall_analyzer/validators/similar_addresses_and_groups.py | similar_addresses_and_groups.py | py | 6,527 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "palo_alto_firewall_analyzer.core.BadEntry",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 51,
"usage_type": "call"
},
... |
234623302 | from nltk.corpus import wordnet as wn
import string
import random
import sys
import json
letters = string.ascii_lowercase
adjs = { letter : [] for letter in letters }
nouns = { letter : [] for letter in letters }
for synset in list(wn.all_synsets('a')):
for lemma in synset.lemma_names():
if lemma and le... | null | create_wordlists.py | create_wordlists.py | py | 677 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "string.ascii_lowercase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "nltk.corpus.wordnet.all_synsets",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.wordnet",
"line_number": 12,
"usage_type": "name"
},
{
"ap... |
623433852 | import json
import time
import requests
from requests.auth import HTTPBasicAuth
WORKFLOW_ID = "43746ca1-b01b-4d4d-a184-d036c540797c"
body = {
"parameters": [
{"value": {"string": {"value": "22"}},
"type": "string",
"name": "Source",
"scope": "local"
},
{"value":... | null | core/req_vro.py | req_vro.py | py | 1,740 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.post",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTTPBasicAuth",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.auth.... |
309284178 | from typing import List, Optional
from fastapi import Depends, FastAPI, HTTPException, status, WebSocket, Cookie, Query, WebSocketDisconnect
from fastapi.responses import HTMLResponse
from starlette.middleware.cors import CORSMiddleware
from pydantic import ValidationError
from sqlalchemy.orm import Session
from . i... | null | backend/api/main.py | main.py | py | 3,574 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "database.engine",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "starlette.middleware.cors.CORSMiddleware",
"line_number": 19,
"usage_type": "argument"
},
{
"api_... |
455515315 | from flask import Flask, request, redirect, url_for, render_template, json
from lxml import html
import json
import requests
locations_url = "http://www.heinz-entsorgung.de/fileadmin/templates/php/abfuhrkalender/index.php"
def getlocation(regionid=False,cityid=False):
if not regionid:
return(json.dumps({"K... | null | backend-flask/backend.py | backend.py | py | 1,744 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dumps",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line... |
185022230 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /home/putzw/Documents/Projects/Source/jinjamator-oss/jinjamator/plugins/content/fsm/fsm.py
# Compiled at: 2020-04-06 16:53:41
# Size of source mod 2**32: 2006 byt... | null | pycfiles/jinjamator-0.5.3-py3-none-any/fsm.cpython-37.py | fsm.cpython-37.py | py | 2,113 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "clitable.CliTable",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
... |
587323390 | import datetime
from flask import Flask
from linebot.models import (BoxComponent, BubbleContainer, ButtonComponent,
FlexSendMessage, TextComponent)
from .. import db
from ..models import User
app = Flask(__name__, instance_relative_config=True)
app.config.from_pyfile('config.py')
def fo... | null | app/chatbot/follow.py | follow.py | py | 1,529 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "linebot.models.BubbleContainer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "linebot.models.BoxComponent",
"line_number": 16,
"usage_type": "call"
},
{
"api_name":... |
512023561 | from bs4 import BeautifulSoup
from socket import timeout
from tqdm import tqdm
from urllib.request import Request, urlopen
from decimal import Decimal
from re import sub
import numpy as np
import psycopg2
import urllib.request
import time
import sys
import random
import traceback
import json
class Project():
def __i... | null | kick/update_price.py | update_price.py | py | 2,144 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.mean",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.build_opener",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "urllib.reque... |
250900016 | import flask
import flask_socketio
from flask import Flask
from flask import session
from flask import render_template
from flask_socketio import SocketIO, send, emit
from subprocess import call
app = Flask(__name__, template_folder='template')
app.secret_key = "secret"
host_addr = "192.168.137.1"
port_nu... | null | main.py | main.py | py | 2,823 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_socketio.SocketIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.request.args.... |
279624568 | from bs4 import BeautifulSoup
import requests
import json
import re
import sqlite3
cache_dict = {}
DBNAME = 'final_streaming.sqlite'
final_cache_hulu = "final_cache_hulu.json"
page_numbers = list(range(0, 2701, 50))
list_url_base = 'https://reelgood.com/source/hulu?offset='
item_url_base = 'https://reelgood.com'
# to... | null | final_code_hulu.py | final_code_hulu.py | py | 4,082 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_numb... |
378615129 | #coding=utf-8
import os
import sys
import re
import requests
import chardet
import time
import subprocess
from extract_re import extract_re,extract,extract_all,extract_div
class after_proc:
def __init__(self,title,time,content,url):
self.title = title
self.time = time
self.content = content... | null | jianshu_spider/spider.py | spider.py | py | 6,498 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "extract_re.extract",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "extract_re.extract_all",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",... |
652333736 | import numpy as np
import matplotlib.pyplot as plt
fo = open('ko_barrier.log', 'w')
def log_nd(nd, name='null'):
global fo
log = ''
for l in nd:
log += str(l.tolist())
log += '\n'
fo.write('%s = [\n%s]\n' % (name, log))
#paras
nperiod = 8
nday_aperiod = 5
S0 = 48970
para = dict(
... | null | ko_barrier.py | ko_barrier.py | py | 2,762 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"l... |
261226312 | from Bio import Entrez, SeqIO
from Bio.SeqUtils import GC
import pandas as pd
import sys
import re
import time
# remember to input email for Entrez
Entrez.email = "test@outlook.com" #TODO CHANGE EMAIL!
def search_term(gene, organism_list):
""" combine gene symbol and search organism
e.g iles AND Coxiell... | null | Bioinformatics_create_a_script_to_retrieve_sequences_of_bacterial_homologs_of_a_given_gene_or_protein/solution.py | solution.py | py | 6,724 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Bio.Entrez.email",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "Bio.Entrez",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "Bio.Entrez.esearch",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "Bio.Entrez",
"l... |
627561625 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | null | azure-mgmt-policyinsights/azure/mgmt/policyinsights/models/tracked_resource_modification_details.py | tracked_resource_modification_details.py | py | 1,862 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 15,
"usage_type": "name"
}
] |
23843435 | import numpy as np
import scipy.sparse as sp
import torch
import itertools, heapq
def default_device() -> torch.device:
return torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def normalize(mx):
"""Row-normalize sparse matrix."""
"""https://github.com/HazyResearch/hgcn/blob/a526385744da25fc... | null | utils/helper.py | helper.py | py | 2,140 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.device",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
... |
526088287 | from aiogram.types import Message
from tgbot.keyboards.default.customer.personal_profile import personal_profile_kb
from tgbot.services.repository import Repo
async def personal_profile(m: Message, repo: Repo):
user_data = await repo.get_customer(userid=m.chat.id)
user_orders = await repo.get_customer_orders... | null | tgbot/handlers/customer/personal_profile.py | personal_profile.py | py | 943 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "aiogram.types.Message",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tgbot.services.repository.Repo",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tgbot.keyboards.default.customer.personal_profile.personal_profile_kb",
"line_number": 25,... |
114692273 | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import numpy as np
from imgnet import Net
def imshow(img):
img = img / 2 + 0.5
npimg = img.numpy()
plt.imshow(np.transpose(npimg, (1, 2, 0)))
plt.show()
classes = ('plane',... | null | testnetwork.py | testnetwork.py | py | 1,133 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.transpose",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
138680408 | import numpy as np
import cv2
from skimage.feature import local_binary_pattern
import skimage
from scipy.stats import itemfreq
from sklearn.preprocessing import normalize
def hogFeature(patches):
winSize = (20,20)
blockSize = (10,10)
blockStride = (5,5)
cellSize = (10,10)
nbins =... | null | featureExtraction.py | featureExtraction.py | py | 1,929 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.HOGDescriptor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.getGaborKernel",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "cv2.CV_32F",
"... |
46150723 | # -*- coding: utf-8 -*-
import tornadoredis
import tornado.web
import tornado.websocket
import tornado.ioloop
import tornado.httpclient
c = tornadoredis.Client()
c.connect()
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.set_header('Content-Type', 'text/plain')
self.write('Wh... | null | renga/tornadoapp.py | tornadoapp.py | py | 1,350 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tornadoredis.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tornado.web.web",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tornado.web.webso... |
562402714 | """Library to access the Smart Device Management API."""
from typing import List
import aiohttp
from .auth import AbstractAuth
from .device import Device
from .structure import Structure
STRUCTURES = "structures"
DEVICES = "devices"
NAME = "name"
class GoogleNestAPI:
"""Class to communicate with the Google Nes... | null | google_nest_sdm/google_nest_api.py | google_nest_api.py | py | 2,376 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "auth.AbstractAuth",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "structure.Structure.MakeStructure",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "structure.Structure",
"line_number": 35,
"usage_type": "name"
},
{
"api_name"... |
628092750 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""=================================================
@Project -> File ：PycharmProjects -> user
@IDE ：PyCharm
@Author ：Mr. toiler
@Date ：1/10/2020 3:15 PM
@Desc ：
=================================================="""
from web.dao.db import DB
from web.dto.user impor... | null | web/dao/user.py | user.py | py | 2,857 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "web.dao.db.DB",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "web.dto.user.UserDto",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "web.dto.user.UserDto",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "web.dto.user.... |
168525097 | # -*- coding:utf-8 -*-
# Author:D.Gray
from gevent import monkey
from urllib import request
import time,gevent
monkey.patch_all()
def f(url):
print("所爬网页:",url)
rest = request.urlopen(url)
data = rest.read()
print("%s bytes from url:%s"%(len(data),url))
urls = [
"https://www.python.org/downloads/"... | null | Python_Study/第四模块学习/Day04/协程/爬虫.py | 爬虫.py | py | 801 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.req... |
523981689 | import os, sys, os.path as op
sys.path.insert(0, op.join(os.getenv('CITY_PATH'), 'src/learning/labelme'))
import random
import unittest
import logging
import parser
#from parser import BaseParser, FrameParser, PairParser
class TestBaseParser (unittest.TestCase):
def setUp(self):
self.parser = parser.Bas... | null | test/learning/labelme/test_parser.py | test_parser.py | py | 4,411 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
534266453 | #!/usr/bin/python3
import requests
import json
import configparser
config = configparser.ConfigParser()
config.read('../../cht.conf')
projectKey = config.get('device-key', 'projectKey')
deviceId = config.get('device-key', 'deviceId')
apiURL = 'http://iot.cht.com.tw/iot/v1/device/' + deviceId + '/heartbeat'
header... | null | iot/01_rest/07_get_device_heartbeat.py | 07_get_device_heartbeat.py | py | 494 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
194679041 | #!/bin/env python
# coding: utf-8
import json
from flask import Flask, render_template
from sqlalchemy import select
from line_util import online
from get_zabbix_tri import ZabbixTools
app = Flask(__name__)
class GetTriggers(online):
def main(self):
conn = self.engine.connect()
s = select([self.... | null | Python/games_online/online_front/front.py | front.py | py | 994 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "line_util.online",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.select",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "get_zabbix_tri.ZabbixTo... |
177911479 | # K_Pst channel K_Pst.mod Hay2011
# exec(open('K_Pst_Chan_(Hay2011).py').read())
import numpy as np
import pickle
import pandas as pd
import moose
SOMA_A = 3.14e-8
F = 96485.3329
R = 8.314
celsius = 32
dt = 0.05e-3
ENa = 0.050
EK = -0.085
Eh = -0.045
ECa = 0.128
Em = -0.090
Vmin = -0.100
Vmax = 0.100
Vdivs = 3000
v ... | null | Kinetics/K_Pst_Chan_(Hay2011).py | K_Pst_Chan_(Hay2011).py | py | 1,386 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "moose.HHChannel",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_n... |
191602749 | import socket
import netifaces as nif
def getMac():
print(mac_for_ip())
return mac_for_ip()
def getIp():
print(socket.gethostbyname(socket.gethostname()))
return str(socket.gethostbyname(socket.gethostname()))
if __name__ == '__main__':
networkLog += 'IP:\t' + getIp()
networkLog = 'MAC:\t... | null | ITTTTTTTTTTT/network_info.py | network_info.py | py | 850 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "socket.gethostbyname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.gethostbyname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.g... |
505494127 | import math
import time
import matplotlib.pyplot as plt
import numpy as np
import gym
from neuronpp.utils.network_status_graph import NetworkStatusGraph
from matplotlib.animation import FuncAnimation
from agents.cart_agent import CartAgent
plt.close('all')
env = gym.make('CartPole-v0')
n_episodes = 100
env_vis =... | null | cart_pole_run.py | cart_pole_run.py | py | 1,855 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "gym.make",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.... |
597839554 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def home(request):
#return HttpResponse("Hello World")
return render(request, 'home.html', {'name':'Siddharth'})
def add(request):
var1 = req... | null | libman/calc/views.py | views.py | py | 462 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
}
] |
622673582 | from app import db
from app.cameracontrol.forms import UpdateForm, ConnectForm, RoiForm
from app.cameracontrol import bp
from app.cameracontrol.models import workers, Camera
import os
from flask import render_template, flash, redirect, url_for, session
@bp.route('/add_camera', methods=['GET', 'POST'])
def add_camera... | null | app/cameracontrol/handlers.py | handlers.py | py | 6,194 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "app.cameracontrol.forms.ConnectForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.cameracontrol.models.Camera",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "app.db.session.add",
"line_number": 21,
"usage_type": "call"
},
{... |
280140653 | def frequent_words(name , n , k):
################################ Importing required packages ################################
#import sys
#module = ["pandas" , "efficient_apriori" , "time"]
#for modulename in module:
#if modulename not in sys.modules:
f = open("output_o... | null | DMML/Asignment_1_frequent_item_set/Code/Efficient_appriori.py | Efficient_appriori.py | py | 3,766 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.clock",
... |
472919311 | import pygame, sys, time, socket, pickle
pygame.init()
class onlineGame(object):
def __init__(self, connectionExists):
print("Game made")
self.screen_W = 600
self.screen_H = 600
self.screen = pygame.display.set_mode((self.screen_W, self.screen_H), 0, 32)
self.... | null | Network Tests/clientexample.py | clientexample.py | py | 4,376 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Sy... |
415765549 | # pandas 数据集读取，dataframe形式的
# 文件读取
import codecs
import psutil
import numpy as np
import torch
from sklearn.model_selection import train_test_split
from torch.utils.data import Dataset, DataLoader
from transformers import BertForSequenceClassification, AdamW, get_linear_schedule_with_warmup
# pip install trans... | null | bert_tx_cls.py | bert_tx_cls.py | py | 5,233 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "codecs.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tran... |
494485198 | """
DRS Registration resource package.
Copyright (c) 2018 Qualcomm Technologies, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the
limitations in the disclaimer below) provided that the following conditions are met:
* Redistribut... | null | app/api/v1/resources/regdetails.py | regdetails.py | py | 11,163 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask_restful.Resource",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "app.api.v1.schema.regdetails.RegistrationDetailsSchema",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "app.api.v1.models.regdetails.RegDetails.exists",
"line_number":... |
391135089 | '''批量测试登录功能，获取图片验证码，登录后将结果截图保存'''
from PIL import Image
import matplotlib.pyplot as plt
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import datetime
url='https://pwd.apicloud.com/signin'
driver = webdriver.Chrome()
curr_url=driver.current_url
def wait():
driver.implici... | null | Apicloud/practice/apicloud_login.py | apicloud_login.py | py | 3,260 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image... |
560802784 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 17 17:00:08 2017
@author: raulsanchez
nohup python 1_model_selection.py > log.txt 2>err.txt &
"""
import xgboost as xgb
import os
import json
import pandas as pd
import numpy as np
import torch
from sklearn import pipeline, metrics, grid_searc... | null | 1_model_selection.py | 1_model_selection.py | py | 5,761 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.exists",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "xgboost.XGBRegressor",
"line... |
272632016 | import os
from tqdm import tqdm
import json
import torch
import random
from pathlib import Path
from torch.utils.data import Dataset
import torch.nn.functional as F
from torch.distributions import Categorical
from config import my_config
class myDataset(Dataset):
def __init__(self, config, split="test"):
# data... | null | utils/sample_not_pad.py | sample_not_pad.py | py | 6,349 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_... |
121820311 |
import logging
formatter = logging.Formatter('%(clineno)d: %(message)s')
fileHandler = logging.FileHandler('misc/output/test06.log', 'w')
fileHandler.setFormatter(formatter)
logger01 = logging.getLogger('test')
logger01.addHandler(fileHandler)
logger01.setLevel(logging.DEBUG)
| null | test/config06.py | config06.py | py | 281 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.Formatter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
... |
142720208 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 3 11:57:22 2019
@author: Sven van Koutrik
"""
import numpy as np
import matplotlib.pyplot as plt
from itertools import chain
from scipy.optimize import brentq
import kartlapsim.utils.constants as constants
class Lapsim:
def __init__(self, kartobj=None,trackobj=Non... | null | kartlapsim/lapsim.py | lapsim.py | py | 6,232 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.gradient",
"line_number": ... |
311386978 | # coding=utf-8
import random
from slugify import slugify
from sqlalchemy.orm import load_only
from datetime import datetime, timedelta
from database import db_session
from flask import request, jsonify, json
from models import *
import json_model
# - Fonction Flask - #
"""
Cette route est utilise par tous les clien... | null | controllers/client_controller.py | client_controller.py | py | 11,148 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.jsonify",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json_model.meteoJsontoString",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.jsonify",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "slugify... |
7643105 | #Cliente TCP
import socket
import rsa
# Endereco IP do Servidor
SERVER = '127.0.0.1'
# Porta que o Servidor esta escutando
PORT = 5002
tcp = socket.socket(socket.AF_INET,
socket.SOCK_STREAM)
dest = (SERVER, PORT)
tcp.connect(dest)
print ('Para sair use CTRL+X\n')
msg = input().encode('utf-8')
while msg != '\x18':
... | null | client_tcp_2.py | client_tcp_2.py | py | 720 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rsa.PublicKey... |
150022166 | #!/usr/bin/env python
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='hello')
inboxAll = ['hello']
print ("current inbox options are: ",inboxAll)
inboxToSend = input("To which inbox do you want to send?")
mess... | null | send.py | send.py | py | 579 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 4,
"usage_type": "call"
}
] |
32218343 | #!/usr/bin/python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
"""
Authors: Dario Cazzani
"""
import sys
sys.path.append('../')
from config import set_config
from helpers.misc import check_tf_version, extend_options
from helpers.graph import get_variab... | null | generative-adversarial-autoencoder/train_mnist_FC.py | train_mnist_FC.py | py | 10,874 | 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": "tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"line_number": 26,
"usage_type": "call"
}... |
331872232 | # patches core python lib - sockets - to be non-blocking.
from gevent import monkey
monkey.patch_all()
import sys
import signal
import logging
import gevent
import traceback
from datetime import datetime
from odfuzz.arguments import ArgParser
from odfuzz.fuzzer import Manager
from odfuzz.statistics import Stats, Sta... | null | odfuzz/odfuzz.py | odfuzz.py | py | 3,301 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "odfuzz.arguments.Ar... |
365297652 | bl_info = {
"name": "Export Kokko Engine mesh",
"description": "Export meshes to custom file format to be used by Kokko Engine",
"author": "Aleksi Grön",
"version": (1, 0, 1),
"blender": (2, 80, 0),
"location": "File > Export",
"category": "Import-Export"
}
import bpy
from bpy.props import ... | null | scripts/kokko_mesh_exporter/__init__.py | __init__.py | py | 2,385 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bpy.types",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "bpy_extras.io_utils.ExportHelper",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bpy.props.StringProperty",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
525281980 | from sqlwrapper import gensql, dbget,dbput
import datetime
import json
def HOTEL_AR_POST_INSERT_ARTransfer(request):
From_account = request.json['From_account']
Invoice_no = request.json['Invoice_no']
To_aacount = request.json['To_aacount']
sql = json.loads(dbget("select open_amount from \
... | null | HOTEL_AR_POST_INSERT_ARTransfer.py | HOTEL_AR_POST_INSERT_ARTransfer.py | py | 1,452 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlwrapper.dbget",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlwrapper.dbput",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlwrapper.dbput",
"... |
225812204 | import discord
from discord.ext import commands
class CoreCog(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_ready(self):
"""Prints message to terminal when bot is ready"""
# Uses client.user to output name and id of bot
print(... | null | cogs/corecog.py | corecog.py | py | 1,799 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog.listener",
"line_number": 9,
"usage_type": "call"
},
{
... |
241189366 | import io
import os
import json
from io import BytesIO
import boto3
from docx import Document
class WordExtractor:
def __init__(self, uri, log):
self.log = log
self.uri = uri
self.word_uri = self.uri.lstrip('s3://')
self.extractor_version = '1.0'
def extract(self):
se... | null | extractor/GdalExtractor/Word.py | Word.py | py | 1,842 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.client",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "boto3.session.Config",
... |
146595354 | from django.db import transaction
from skills import models
def serialize():
return ({
"name": skill.name,
"slug": skill.slug,
"cascade": [c.slug for c in skill.cascade],
"weapon": skill.weapon,
"characteristic": skill.upp_characteristic,
"lede": skill.lede,
... | null | skills/persist.py | persist.py | py | 1,062 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "skills.models.Skill.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "skills.models.Skill",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "skills.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name":... |
156667423 | import os
from datetime import datetime
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from fabric.api import local, task, lcd
from pytz.reference import LocalTimezone
def generate_package_date():
"""
Reads the system date and time, including the timezone and returns
... | null | fabfile.py | fabfile.py | py | 3,573 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pytz.reference.LocalTimezone",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "... |
196445176 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import nltk.stem.porter as pt
import nltk.stem.lancaster as lc
import nltk.stem.snowball as sb
words = ['table', 'probably', 'wolves', 'playing',
'is', 'dog', 'the', 'beaches', 'grounded',
'dreamt', 'envision']
pt_stemmer = pt.PorterStemm... | null | docs/02.AI_ML/code-1805/Day06all/stm.py | stm.py | py | 604 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 10,
"usage_type": "call"
},
{
... |
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