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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
618407604 | from PIL import Image
import os,sys
import shutil
if(len(sys.argv)==1):
print("ファイルが存在しないよ！")
input("ボタンを押してね！")
sys.exit()
count=0
for i in sys.argv[1:]:
count=count+1
print(str(count)+"枚目は「"+i+"」")
file=i
if(os.path.exists(os.path.dirname(file)+"\Resize")==False):
os.mkdir(os.path.dirname(file)+... | null | ワンクリック軽量.py | ワンクリック軽量.py | py | 1,685 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number":... |
167508745 | """empty message
Revision ID: 26bec75584e5
Revises: bc5e7cba581f
Create Date: 2018-04-03 13:50:26.021794
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '26bec75584e5'
down_revision = 'bc5e7cba581f'
branch_labels = None
depends_on = None
def upgrade():
# ... | null | migrations/versions/26bec75584e5_.py | 26bec75584e5_.py | py | 1,608 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
304524391 | from django.shortcuts import render
from django.template.loader import get_template
from django.http import HttpResponse
from .models import Expentry,Expcategory
import logging
logger = logging.getLogger('application')
# Create your views here.
def expenses_index(request):
entries = Expentry.objects.all()
so... | null | expenses/views.py | views.py | py | 2,365 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Expentry.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Expentry.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_nam... |
524448802 | #run the code in 虛擬環境
#在指定頁面進行爬蟲
#database
import codecs
import mysql.connector
import time
import serial
#spider
import requests
from bs4 import BeautifulSoup
import serial
from time import sleep
mydb = mysql.connector.connect(
host = "localhost", # Database IP address
user = "# Database username", ... | null | ES/Python/Crawler.py | Crawler.py | py | 3,038 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 15,
"usage_type": "name"
},
{
"... |
519058921 | #!/usr/bin/python3
'''
state view module
'''
from flask import jsonify, abort, request
from models import storage, classes
from api.v1.views import app_views
@app_views.route('/states', methods=['GET'])
def all_states():
'''
function returns all state objects
'''
return jsonify([v.to_dict() for k, v i... | null | AirBnB_clone_v3/api/v1/views/states.py | states.py | py | 1,968 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.jsonify",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.storage.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.storage",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "api.v1.views.app_view... |
323868325 | import skvideo.io
from skvideo.io import FFmpegWriter
import cv2
import numpy as np
if __name__ == '__main__':
model_A = "faster_rcnn_inception_v2_coco_2017_11_08"
model_B = "rc1_180k"
video_names = ["bike2.mp4", "bus_motorbike.mp4", "cat_dog.mp4", "suitcase_person.mp4", "truck_car.mp4"]
for vide... | null | research/object_detection/video_merger.py | video_merger.py | py | 1,566 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "skvideo.io.FF... |
619422657 | import cv2
import serial
print("Versão do OpenCV:", cv2.__version__)
classificador = cv2.CascadeClassifier(
"cascades/haarcascade_frontalface_default.xml")
webCam = cv2.VideoCapture(1)
porta = 'COM3' # linux ou mac em geral -> '/dev/ttyS0'
velocidadeBaud = 115200
#ligarArduino = False
ligarArduino = True
i... | null | enxergar/POCs/video3_2_arduino/assistenteMilGrauVisaoDetectarArduino.py | assistenteMilGrauVisaoDetectarArduino.py | py | 2,311 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.__version__",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "serial.Seria... |
371462863 | from discord.ext import commands, menus
import utils
import random , discord, os, importlib, mystbin, typing, aioimgur, functools, tweepy
import traceback, textwrap
from discord.ext.menus.views import ViewMenuPages
class Owner(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(brief="a c... | null | cogs/owner.py | owner.py | py | 20,373 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.BetterUserconverter",
"line_number": 12,
"usage_type": "attribute"
},
{
"a... |
522490840 | # coding: utf-8
import scrapy
from urllib.parse import urlparse, parse_qs
class AllStocks(scrapy.Spider):
name = "allStocks"
def start_requests(self):
pages = 464
urls = []
for i in range(0, 464):
x = i + 1
url = 'http://stock.finance.sina.com.cn/usstock/api... | null | tutorial/tutorial/spiders/allStock.py | allStock.py | py | 951 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse_qs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urllib.parse.u... |
530887272 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import httplib
import urllib
import json
import os
tempData = {
"data": [
{
"TOTAL_CAL": "825",
"MENU": [
{
"LUNCH_MENU_NM": "뚝배기어묵탕*어묵사리",
"LUNCH_MENU_ESTIMATION": 0,
"LUNCH_ROOM_NM": "가마"
},
{
... | null | reply_local.py | reply_local.py | py | 6,283 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dumps",
"line_number": 187,
"usage_type": "call"
}
] |
386195789 | import csv
import io
import json
import pickle
from base64 import b64decode
from datetime import datetime
from flask import g, make_response
from crc import db, session
from crc.api.common import ApiError
from crc.models.approval import Approval, ApprovalModel, ApprovalSchema, ApprovalStatus
from crc.models.workflow ... | null | crc/api/approval.py | approval.py | py | 5,018 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.g.user",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "crc.db.session.query",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "crc.models.approval.Ap... |
616464747 | from typing import List
from http import HTTPStatus
from kentik_api.api_calls import custom_dimensions
from kentik_api.api_resources.base_api import BaseAPI
from kentik_api.public.types import ID
from kentik_api.public.custom_dimension import CustomDimension, Populator
from kentik_api.requests_payload import custom_di... | null | kentik_api_library/kentik_api/api_resources/custom_dimensions_api.py | custom_dimensions_api.py | py | 5,888 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "kentik_api.api_resources.base_api.BaseAPI",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "kentik_api.public.custom_dimension.Populator",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "kentik_api.api_calls.custom_dimensions.create_populator",
... |
350127618 | import os.path as osp
import collections as col
import numpy as np
import mastic.molecule as masticmol
import mastic.features as masticfeat
import mastic.config.features as masticfeatconfig
from rdkit import RDConfig
from rdkit import Chem
from rdkit.Chem import ChemicalFeatures
class RDKitMoleculeWrapper(object):... | null | mastic/interfaces/rdkit.py | rdkit.py | py | 16,231 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mastic.molecule.AtomType",
"line_number": 203,
"usage_type": "call"
},
{
"api_name": "mastic.molecule",
"line_number": 203,
"usage_type": "name"
},
{
"api_name": "mastic.molecule.AtomType",
"line_number": 211,
"usage_type": "call"
},
{
"api_name": "... |
236043080 | """Definition of the ImageAnnex content type
"""
from zope.interface import implements
from Products.Archetypes import atapi
from Products.ATContentTypes.content import image
from Products.ATContentTypes.content import schemata
from collective.book import BookMessageFactory as _
from collective.book.interfaces impo... | null | packages/collective.book/tags/0.2/collective/book/content/imageannex.py | imageannex.py | py | 1,316 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Products.ATContentTypes.content.image.ATImageSchema.copy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Products.ATContentTypes.content.image.ATImageSchema",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "Products.ATContentTypes.content... |
400626726 | import os
import sys
import numpy as np
from sleeplearning.lib.models.single_chan_expert import SingleChanExpert
root_dir = os.path.abspath(os.path.join(os.path.dirname('__file__'), '..'))
sys.path.insert(0, root_dir)
import torch
from torch import nn
import sleeplearning.lib.base
class Ensembler(nn.Module):
def ... | null | sleeplearning/lib/models/ensembler.py | ensembler.py | py | 1,702 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_nu... |
184444072 | from Bio import SeqIO
import ahocorasick
import logging
def load_data(fasta_file, kmer_file):
logging.info("Loading fasta file")
fasta_list = list(SeqIO.parse(fasta_file,"fasta"))
logging.info("Loading kmer list")
kmer_list = [line.rstrip('\n') for line in open(kmer_file)]
return fasta_list, kmer_l... | null | U3.1_PreQualifiedMinSet.py | U3.1_PreQualifiedMinSet.py | py | 1,426 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.info",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number":... |
128219063 | from operator import itemgetter
import pygame
from bird import Bird
from pipe import Pipe
import numpy as np
import random
SHAPE = (500, 500)
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
WIDTH = SHAPE[0]
HEIGHT = SHAPE[1]
POPULATION = 30
np.random.seed(1)
random.seed(1)
pygame.init()
screen = pygame.display.set_mode(SHA... | null | main.py | main.py | py | 7,151 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"li... |
39434165 | import json
U = 'UP'
D = 'DOWN'
L = 'LEFT'
R = 'RIGHT'
with open('configuration.json', 'r') as configuration:
data = json.load(configuration)
START = data['start']
END = data['end']
N = int(pow(len(START), 1/2)) if len(START) == len(END) else None
node_goal = None
class PuzzleState:
def __init__(s... | null | puzzle/iterative_deepening_search.py | iterative_deepening_search.py | py | 2,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 119,
"usage_type": "call"
}
] |
238679679 | from django.db import models
from users.models import Person
from ticker.models import ticker, Sector, Industry
from django.db.models import Q, Sum
from decimal import Decimal
from resources.views import StockPriceReturner
import datetime
class Portfolio(models.Model):
Name=models.CharField(max_length=512, blank... | null | portfolios/models.py | models.py | py | 11,274 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
120731195 | from matplotlib.text import Text
import matplotlib.pyplot as plt
from matplotlib import transforms, lines
import numpy as np
import pandas as pd
from scipy import stats
def pvalAnnotation_text(x, pvalueThresholds):
singleValue = False
if type(x) is np.array:
x1 = x
else:
x1 = np.array([x]... | null | statannot.py | statannot.py | py | 5,789 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"li... |
546866021 | # -*- coding: utf-8 -*-
"""Functional tests using WebTest.
See: http://webtest.readthedocs.org/
"""
import pytest
from crime_data.resources.meta import FAMILIES
class TestCodesEndpoint:
@pytest.mark.parametrize('endpoint', FAMILIES)
def test_meta_endpoint_exists(self, testapp, endpoint):
res = testapp... | null | tests/functional/test_meta.py | test_meta.py | py | 655 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "crime_data.resources.meta.FAMILIES",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "crime_data.resources.meta.FAMILIES",
"line_number": 10,
"usage_type": "argumen... |
472123909 | # #!/usr/bin/env python
# # -*- coding: utf-8 -*-
#
# '''
# Created on 26 Jul 2019
#
# @author: Ajay
# '''
#
from pp_final import preprocessor
from sklearn.naive_bayes import BernoulliNB
pp = preprocessor("topic", "bnb")
clf = BernoulliNB()
model = clf.fit(pp.X_train, pp.y_train)
predicted_y = mode... | null | BNB_topics.py | BNB_topics.py | py | 839 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pp_final.preprocessor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.BernoulliNB",
"line_number": 14,
"usage_type": "call"
}
] |
338558519 |
# 线性回归
import tensorflow as tf
import numpy as np
import random
import matplotlib.pyplot as plt
# 获得数据 / 10 只是让数据好看一点
def getBatch(batchSize,start=None):
if start==None:
start = random.randint(1, 10000)
n = np.linspace(start, start+batchSize, batchSize, endpoint=True).reshape((batchSize,1)) / 10
... | null | Linear Regression/3.1.py | 3.1.py | py | 2,770 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.randint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number"... |
583990275 | #!/usr/bin/env python
"""
Provides functionality to configure environment variables for agent.
"""
__copyright__ = '(c) Webyog, Inc'
__author__ = 'Vishal P.R'
__email__ = 'hello@sealion.com'
import os
import sys
import getopt
import re
import json
import subprocess
#add module lookup paths to sys.path so that impo... | null | code/bin/configenv.py | configenv.py | py | 5,867 | 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.realpath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"... |
568778118 | import sqlite3
from employee import Employee
def insert_emp(conn, cursor, emp):
with conn:
cursor.execute(
"INSERT INTO employees VALUES (:first, :last, :pay)",
{'first': emp.first, 'last': emp.last, 'pay': emp.pay}
)
def get_emps_by_name(cursor, lastname):
cursor.ex... | null | main.py | main.py | py | 1,575 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "employee.Employee",
"line_number": 49,
"usage_type": "call"
}
] |
330572394 | #!/usr/bin/env python
# coding: utf-8
#Testing chipping part#!/usr/bin/env python
# coding: utf-8
from keras.models import load_model
import os
import keras
from keras.layers import Dense, Input, Reshape, Flatten, Dropout
from keras import models
import matplotlib.pyplot as plt
import numpy as np
from keras.layers im... | null | working_gan/team_gmu_chip.py | team_gmu_chip.py | py | 6,064 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_num... |
67449781 | from py_komoran3.komoran3py import KomoranPy
ko = KomoranPy()
ko.set_user_dictionary('./py_komoran3/user_dictionary.txt')
# 채팅로그 불러오는 함수
def openlog( bj_code, filename, platform = 'twitch_live_chat') :
"""
'../../data/{0}/{1}/{2}'.format(platform, bj_code, filename)
platform : 플랫폼 폴더명 (기본 : twitch_live_c... | null | lib/analysis/chat_wordcount.py | chat_wordcount.py | py | 4,932 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "py_komoran3.komoran3py.KomoranPy",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nltk.Text",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
... |
139187466 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from typing import Optional
from PyQt5.QtCore import QCoreApplication, pyqtSlot, Qt
from PyQt5.QtWidgets import QApplication, QComboBox
from window import Window, Dialog
class MainWindow(Window):
def __init__(self):
super().__init__("../MainWindow... | null | PyQt5/main.py | main.py | py | 2,228 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "window.Window",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QComboBox",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.... |
471615803 | from kivy.app import App
from kivy.uix.widget import Widget
from kivy.properties import NumericProperty, ReferenceListProperty,\
ObjectProperty
from kivy.vector import Vector
from kivy.clock import Clock
from kivy.uix.button import Button
from kivy.core.window import Window
from kivy.uix.label import Label
import s... | null | game.py | game.py | py | 3,403 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "kivy.uix.widget.Widget",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "kivy.properties.NumericProperty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "kivy.properties.NumericProperty",
"line_number": 21,
"usage_type": "call"
},
{... |
98837974 | from __future__ import absolute_import
import io
import pandas as pd
from dask.bytes import open_files, read_bytes
import dask
from ..utils import insert_meta_param_description, make_meta
def to_json(
df,
url_path,
orient="records",
lines=None,
storage_options=None,
compute=True,
encoding... | null | downloadable-site-packages/dask/dataframe/io/json.py | json.py | py | 7,327 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dask.bytes.open_files",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "dask.delayed",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "dask.compute",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
... |
395430693 | import boto3
file=open(r"C:\Users\vikash.kumar67\Desktop\instance.txt","r")
session =boto3.Session(profile_name='default')
ec2=session.client(service_name='ec2')
ssm=session.client(service_name='ssm')
for each in file:
#ec2.stop_instances(InstanceIds=each)
print(each)
#each=str(each).strip('\n')... | null | stopping services.py | stopping services.py | py | 501 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.Session",
"line_number": 5,
"usage_type": "call"
}
] |
453090071 | from django import forms
from django.utils.safestring import mark_safe
import re
import string
from stars.apps.credits.models import (CreditSet,
Category,
Subcategory,
Credit,
... | null | stars/apps/institutions/data_displays/forms.py | forms.py | py | 6,943 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.Form",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.for... |
165473543 | # -*- coding: utf-8 -*-
"""
This module manages all pip processes.
"""
import os
import logging
from PyQt5.QtCore import pyqtSignal, pyqtSlot, QObject, QProcess
from PyQt5.QtWidgets import QApplication
logger = logging.getLogger(__name__)
#]=========================================================================... | null | venvipy/manage_pip.py | manage_pip.py | py | 4,560 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QProcess",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QProcess.NormalExit",
"line_number": 29,
"usage_type": "attribute"
},
{
"api... |
68522467 | """eshop_grigoris URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Cl... | null | eshop_grigoris/urls.py | urls.py | py | 7,184 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 25,
"usage_type": "name"
},
{
"api_name... |
131462249 | import tensorflow as tf
import numpy as np
import sklearn as sk
from sklearn.linear_model import SGDClassifier
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
import xgboost as xgb
from sklearn import svm, naive_bayes
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
np.... | null | tf_mnist.py | tf_mnist.py | py | 4,774 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.... |
617183754 | """Registry URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-b... | null | registry/urls.py | urls.py | py | 2,583 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "views.registry.home",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "views.registry",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.c... |
300879573 | import logging
import re
import semver
import sys
import reconcile.queries as queries
from reconcile.status import ExitCodes
from utils.aws_api import AWSApi
from utils.aws.route53 import State, Account, Record, Zone
from utils.aws.route53 import DuplicateException
QONTRACT_INTEGRATION = 'aws-route53'
QONTRACT_INT... | null | reconcile/aws_route53.py | aws_route53.py | py | 14,031 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "semver.format_version",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "logging.info",
"l... |
556760686 | import numpy as np
import zmes_hook_helpers.common_params as g
import zmes_hook_helpers.log as log
import sys
import cv2
import time
import datetime
import re
# Class to handle Yolo based detection
class Yolo:
# The actual CNN object detection code
# opencv DNN code credit: https://github.com/arunponnusamy/... | null | hook/zmes_hook_helpers/yolo.py | yolo.py | py | 8,038 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "zmes_hook_helpers.common_params.config",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "zmes_hook_helpers.common_params",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "zmes_hook_helpers.common_params.config",
"line_number": 25,
"... |
166514249 | from collections import namedtuple
import networkx as nx
import matplotlib.pyplot as plt
Chemin = namedtuple('Chemin', ['Trajet', 'Cout', 'Autonomie'])
def creerGraphe(nomFichier):
fichierTexte = open(nomFichier, "r")
blocks = fichierTexte.read().rsplit('\n\n')
sommets = []
for line in blocks[0].spli... | null | perso/graphe_lotfi.py | graphe_lotfi.py | py | 8,289 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 213,
"usage_type": "call"
},
{
"api_name": "networkx.spring_layout",
"line_number": 215,
"usage_type": "call"
},
{
"api_name": "matplot... |
393485838 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import matplotlib
matplotlib.use( 'Agg' ) # use Agg backend to run on servers
import matplotlib.pyplot as plt
import numpy as np
import scipy.io
import tensorflow... | null | run_vae.py | run_vae.py | py | 10,994 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_n... |
214711115 | import traceback
from unittest import TestCase
import asyncio
import time
from multicp.pool.TransactionPool import Transaction
from multicp.query.Query import Query
from injection.Boostrap import Bootstrap
from injection.Facades import inject
from multicp.Facades import Multicp
from multicp.util.DateUtil import ti... | null | multicp/tests/TBTest.py | TBTest.py | py | 2,108 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "injection.Boostrap.Bootstrap",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": ... |
328838796 | import os
import sys
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
sys.path.append(os.pardir)
from Notebooks.LinkDatabases.FacebookData import FacebookDataDatabase
class SentimentAnalyzer:
analyser = SentimentIntensityAnalyzer()
@staticmethod
def GetPostSentiment(postId):
... | null | graphs/qq_plots/PostVsCommentSentiment/Regression.py | Regression.py | py | 1,424 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.pardir",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "vaderSentiment.vaderSentime... |
179213678 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/9/2 23:49
# @Author : Paulson
# @File : day3.py
# @Software: PyCharm
# @define : function
import numpy as np
import pandas as pd
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression, SGDRegressor, Ridge, Logistic... | null | sklearn_base/day3.py | day3.py | py | 4,290 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 33,
"usage_ty... |
413730152 | import os
import sys
import healpy as hp
import matplotlib.pyplot as plt
import numpy as np
import pylab
import requirements as req
#pylab.rc('text', usetex=True)
#pylab.rc('font', family='serif')
telescope = "LAT"
bands = "LFL1", "LFL2", "MFL1", "MFL2", "HFL1", "HFL2"
nband = len(bands)
site = "chile"
nside = 4096... | null | reference_tool_round_2/validation/validate_chlat.apod.py | validate_chlat.apod.py | py | 7,534 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
39051373 | from django.contrib import admin
from cisuba.account.models import Account, Hello
from cisuba.models import PartnerProduct, Board
from cisuba.models import PartnerProduct_Image, ProductTag, ProductDivsion
from web.models import Anounce, Faq, Event, PartnerJoin
# Register your models here.
"""
class PartnerbranchProd... | null | cisuba/admin.py | admin.py | py | 2,503 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "cisuba.models.PartnerProduct_Image",
"line_number": 34,
"usage_type": "name"... |
215381946 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
import time... | null | test/test_conduit.py | test_conduit.py | py | 8,618 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{... |
382472416 | from django.shortcuts import render, get_object_or_404
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from .models import Category, Product, Brand
from cart.forms import CartAddProductForm
from .forms import PriceForm
from blog.forms import CommentForm
from blog.models import Comment
def bas... | null | shop/views.py | views.py | py | 4,117 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Category.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Category.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Category",
"line_number": 11,
"usage_type": "name"
},
{
"api_name... |
459568341 | # -*- coding: utf-8 -*-
'''
import subprocess
#p = subprocess.check_output(["python", "/Users/shrey/test.py"])
#p = subprocess.check_output(["echo" "hi"])
#p = subprocess.run(["echo $(python /Users/shrey/test.py)"], shell=True, stdout=subprocess.PIPE)
p1 = subprocess.run(['C:/Python27/python.exe', 'C:/Users/Amanul/Do... | null | CODE/.ipynb_checkpoints/interface-checkpoint.py | interface-checkpoint.py | py | 8,587 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "stanfordcorenlp.StanfordCoreNLP",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "skip_thought_vector.skip_thought_vector",
"line_number": 127,
"usage_type": "call"
}
] |
519800689 | # -*_ coding:utf-8 _*-
import openpyxl
class DoExcel:
# def __init__(self,ExcelName,SheetName):
# #ExcelReadName,SheetReadName,ExcelWriteName,SheetWriteName):
# self.ExcelName = ExcelName
# self.SheetName = SheetName
# # self.ExcelWriteName = ExcelWriteName
# # self... | null | homework/homework_1108/DoExcel.py | DoExcel.py | py | 2,888 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 35,
"usage_type": "call"
}
] |
353183196 | __author__ = 'salamio'
import configparser
class RConfig(configparser.RawConfigParser):
def as_dict(self):
d = dict(self._sections)
for k in d:
d[k] = dict(self._defaults, **d[k])
d[k].pop('__name__', None)
return d
if __name__ == "__main__":
f = RConfig()
... | null | aliens/PythonProjects/RedshiftDeployment/core/RConfig.py | RConfig.py | py | 415 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "configparser.RawConfigParser",
"line_number": 7,
"usage_type": "attribute"
}
] |
393366134 | from collections import defaultdict, deque
input = [line.strip() for line in open("../Inputs/day12", "r")]
map = defaultdict(list)
for line in input:
left, right = line.split("-")
if right != "start":
map[left].append(right)
if left != "start":
map[right].append(left)
def singleVisit(map):... | null | 2021/AoC2021Day12/AoC2021Day12.py | AoC2021Day12.py | py | 1,638 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
}
] |
328548779 | # Given a set of n jobs where each job i has a deadline di >=1 and profit pi>=0.
# Only one job can be scheduled at a time. Each job takes 1 unit of time to complete.
# We earn the profit if and only if the job is completed by its deadline.
# The task is to find the subset of jobs that maximizes profit.
import itert... | null | python/disjoint_set/job_sequencing_problem.py | job_sequencing_problem.py | py | 1,659 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.count",
"line_number": 9,
"usage_type": "call"
}
] |
54741425 | import sys
from cx_Freeze import setup, Executable
from sportorg import config
base = None
if sys.platform == 'win32':
base = 'Win32GUI'
include_files = [config.LOCALE_DIR, config.TEMPLATE_DIR, config.IMG_DIR, config.SOUND_DIR, config.base_dir('LICENSE'),
config.base_dir('changelog.md'), config.b... | null | setup.py | setup.py | py | 1,141 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.platform",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sportorg.config.LOCALE_DIR",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sportorg.config",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sporto... |
295819976 | import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
mnist = tf.keras.datasets.mnist #28*28 images of hand-written digits 0-9
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = tf.keras.utils.normalize(x_train, axis=1) #normalization
x_test = tf.keras.utils.normalize(x_test, axi... | null | sentdex tutorial/tensorflow/trying_tensorflow.py | trying_tensorflow.py | py | 2,039 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.keras",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.utils.normalize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_nam... |
636782877 | #!/usr/bin/env python3
#SenseHatLogger. Author: kurtd5105
from sense_hat import SenseHat
import argparse
import sys
import time
from datetime import datetime
from datetime import timedelta
from itertools import product
#Create a dictionary for the representation of the numbers in a pixel array
numbers = {... | null | logger.py | logger.py | py | 12,544 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.product",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 246,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 287,
"usage_type": "call"
},
{
"api_name": "sense_hat.Sen... |
448022421 | """
Handler
-------------------
Basic tfs-to-pandas io-functionality.
:author: Jaime
:module: handler
"""
import logging
from collections import OrderedDict
from contextlib import suppress
from os.path import basename, dirname
from typing import Union
import numpy as np
import pandas
from pandas import DataFrame
L... | null | tfs/handler.py | handler.py | py | 11,262 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.floating",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.integer",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.bool_"... |
510142583 | '''https://www.kaggle.com/crawford/resize-and-save-images-as-hdf5-256x256
This code can be used to convert images into ONE h5 file where the Key address will be "train_img" or change it in line 49 '''
import cv2
import datetime as dt
import h5py
import matplotlib.pyplot as plt
import matplotlib.pylab as plb
import num... | null | read_and_conver_images_to_h5/testing.py | testing.py | py | 1,357 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path"... |
485377736 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import logging
import threading
from time import sleep
from datetime import datetime, timedelta
import urlparse
import requests
import urllib
from requests.exceptions import ConnectionError
from selenium import webdriver
from selenium.webdriver.... | null | digger/management/commands/get_items.py | get_items.py | py | 7,648 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "digger.utils.UtilsMixin",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "threa... |
517218316 | """
# Copyright 2020 ABHINAV RAWAT
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute,... | null | pyembedded/gps_module/gps.py | gps.py | py | 4,446 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "serial.Serial",
"line_number": 28,
"usage_type": "call"
}
] |
525891851 | from django.conf.urls import url, include
from rest_framework import routers
from apps.api.views.lessons import LessonSetViewSet, LessonViewSet, PageViewSet, FavoriteViewSet, \
LogLessonViewSet
from apps.api.views.question import QuestionViewSet, AnswerViewSet, UserAnswerViewSet
fro... | null | apps/api/urls.py | urls.py | py | 1,054 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "apps.api.views.userprofile.UserViewSet",
"line_number": 11,
"usage_type": "ar... |
96914998 | import os
import sys
from PIL import Image
if __name__ == '__main__':
dataset_path = ['val', 'test']
input_dir_name = 'face_dataset_RGB'
target_dir_name = 'face_dataset_depth_8bit'
result_dir_name = 'result'
for dataset in dataset_path:
count = 1
input_dir_path = os.path.join(os.... | null | datasets/preprocess_pandora_dataset.py | preprocess_pandora_dataset.py | py | 1,586 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
323761261 | # -*- coding: utf-8 -*-
import datetime
from time import sleep
import os
def timer(time=25):
now = datetime.datetime.now()
after = now + datetime.timedelta(minutes = time)
while datetime.datetime.now() < after:
sleep(1)
os.system('clear')
now = datetime.datetime.now()
de... | null | days/01-03-datetimes/pomodoro.py | pomodoro.py | py | 648 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datet... |
85164171 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from numpy.linalg import solve
from scipy.linalg import eigvals, logm, norm
def is_stable(A, domain='z'):
"""Determines if a linear state-space model is stable from eigenvalues of `A`
Parameters
----------
A : ndarray(n,n)
sta... | null | pyvib/lti_conversion.py | lti_conversion.py | py | 4,954 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.linalg.eigvals",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.real",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.eigvals",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
... |
250976533 | from ref_caradisiac.spiders.caradisiac import RefModeleSpider, RefMarqueSpider
from scrapy.crawler import CrawlerProcess
import re, io, json, os, time
os.environ.setdefault('SCRAPY_SETTINGS_MODULE', 'ref_caradisiac.settings') #add path to scrapy settings to the project
from scrapy.utils.project import get_project_set... | null | main.py | main.py | py | 1,244 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ.setdefault",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scrapy.utils.project.get_project_settings",
"line_number": 8,
"usage_type": "call"
},
{
"api_... |
255130111 | import requests
from bs4 import BeautifulSoup
session = requests.Session()
url = "https://en.wikipedia.org/wiki/List_of_Nobel_laureates"
page = session.get(url).text
nobelList = BeautifulSoup(page, "html.parser")
# Print the birthdays of all the nobel laureates
trows = nobelList.find('table', {'class' : ["wikitable... | null | BS4/wiki_table.py | wiki_table.py | py | 939 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.Session",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
}
] |
229058160 |
from flask import Flask,request
app = Flask(__name__)
from flask import json
import sqlite3
from flask import g
import urllib
import requests
import json
from flask.ext.mysql import MySQL
mysql = MySQL()
# MySQL configurations
app.config['MYSQL_DATABASE_USER'] = 'root'
app.config['MYSQL_DATABASE_PASSWORD'] = 'ronnie... | null | ServerApp/Quotr/home.py | home.py | py | 8,045 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.ext.mysql.MySQL",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.urlencode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urllib.urlopen",
... |
337202070 | import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch
import numpy as np
from tqdm import tqdm
# from torch_lr_finder import LRFinder
# def __new__(self):
# return self
# def train(trainloader, device, model,EPOCH):
# criterion = nn.CrossEntropyLo... | null | train_and_validate/train_and_validate.py | train_and_validate.py | py | 10,102 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.no_grad",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.nll_loss",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "torch.... |
159687290 | import unittest
from synthesis import PerformanceHistorySynthesizer
from sklearn.model_selection import ParameterGrid
import numpy as np
class Test(unittest.TestCase):
def setUp(self):
pass
#def tearDown(self):
# pass
def testPerformanceHistorySynthesizer(self):
'''
Test... | null | change_point_identification/synthesis_test.py | synthesis_test.py | py | 1,281 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
... |
341546158 | from django.core.management.base import BaseCommand, CommandError
import csv
from starcatalogue.models import Star, FoldedLightcurve
class Command(BaseCommand):
help = 'Imports folded lightcurve data (results_total.dat)'
def add_arguments(self, parser):
parser.add_argument('file', nargs=1, type=ope... | null | starcatalogue/management/commands/importlightcurves.py | importlightcurves.py | py | 1,572 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "starcatalogue.models.Star.objects.get",
"line_number": 31,
"usage_type": "call"
},
... |
350558898 | from django.urls import path
from . import views
app_name = "life"
urlpatterns = [
path("list/", views.DiaryListView.as_view(), name="list"),
path("create/", views.DiaryCreateView.as_view(), name="create"),
path("list/<int:pk>/", views.DiaryDetailView.as_view(), name="detail"),
path("list/<int:pk>/up... | null | life/urls.py | urls.py | py | 462 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
510274535 | from domain.application import Application
from domain.model import Model
import json
import os
from os import listdir
from os.path import isfile, join
def parse_applications(app_path: str):
"""
Function that parse app_path file.
app_path (String): Path to a json file.
"""
applications = {}
... | null | util/parse_json.py | parse_json.py | py | 6,019 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "domain.application.Application",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "domain.application.Application",
"line_number": 64,
"usage_type": "name"
},
{
"api_name"... |
104746798 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from openpyxl import Workbook
import sqlserver
cursor_sql = sqlserver.get_cursor()
sql = " select contrato, lote.datacadastro , "\
" (SELECT nomefantasia FROM FILIAL emp WHERE emp.idfilial= lote.idfilial) as nome_filial, "\
" (SELECT TOP 1 CD.Nome "\
" FROM LOTE_ENDEREC... | null | rel_lotesocultos.py | rel_lotesocultos.py | py | 1,492 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlserver.get_cursor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 26,
"usage_type": "call"
}
] |
55979723 | ##
## B8IT106 Tools for Data Analytics CA_TWO
## October 2019
## Added to GitHub - October 8th 2019
## October9 Branch Created
##
## Module Imports for Machine Learning in Python
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import Standa... | null | IrisML/CA2.py | CA2.py | py | 15,582 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.set_option",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.rea... |
312817033 | import matplotlib.pyplot as plt
import numpy as np
indata = np.loadtxt("indata.dat")
time_size = indata[0]
grid_size = indata[1]
end_time = indata[2]
periodic_start_fig = plt.figure()
plt.title("Periodic 2D-rossby wave at T = 0")
periodic_start = np.loadtxt("benchmarks/2dperstart.dat")
X = np.linspace(0,1,len(periodi... | null | project5/plot3.py | plot3.py | py | 997 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.loadtxt",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
623181890 | from nltk.corpus import stopwords
class Exhaustive:
""" Exhaustive (statistical) method for text summarization """
def __init__(self, **kwargs):
self.text = None
self.wfreq = {}
self.tokens = []
self.wstop = set(stopwords.words("english"))
if "tokens" in kwargs.keys() ... | null | Algorithms/weightedfreq/Hindi/first.py | first.py | py | 3,478 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 10,
"usage_type": "name"
}
] |
491332647 | import numpy as np
import argparse
import json
import time
from torch import nn
from torch import optim
import torch.utils.data as tdata
import torch.nn.functional as F
import os
import cv2
import torch
import torchvision
WIDTH = 1920
HEIGHT = 1208
path = "/local/temporary/audi/camera/"
# path_pic = "/local/temporar... | null | first_model.py | first_model.py | py | 4,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
293270471 | import os
import numpy as np
import cv2
import random
def make_data(filepath ):
fo = open(os.path.join(filepath, "lables.txt"), "w", encoding="UTF-8")
for i in range(0, 10):
picture_names = os.listdir(os.path.join(filepath, str(i)))
for name in picture_names:
fo.write(na... | null | data_process.py | data_process.py | py | 1,383 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": ... |
220255642 | from beaker.middleware import SessionMiddleware
from bottle import Bottle, request, HTTPResponse
from jumpscale.packages.threebot_deployer.bottle.utils import (
list_threebot_solutions,
stop_threebot_solution,
delete_threebot_solution,
)
from jumpscale.loader import j
from jumpscale.packages.auth.bottle.au... | null | jumpscale/packages/threebot_deployer/bottle/solutions.py | solutions.py | py | 4,604 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bottle.Bottle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jumpscale.loader.j.data.serializers.json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "jumpscale.loader.j.data",
"line_number": 21,
"usage_type": "attribute"
},
... |
537324419 | '''
@author: katiepfleger
'''
from __future__ import print_function
import sqlite3
import webbrowser
import requests
from logout import check_input
CONN = sqlite3.connect("bpm.db")
C = CONN.cursor()
CLIENT_ID = '482102fb45cb45fdb465ef73801f4665'
CLIENT_SECRET = 'dc7269e0e5a84e71b9b27f857055b41f'
REDIRECT_URI = 'ht... | null | src/auth.py | auth.py | py | 5,237 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logout.check_input",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "logout.check_input",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "logout.check_in... |
106623030 | # -*- coding: utf-8 -*-
'''
@File : linkagePage.py
@Time : 2018/10/23 14:18
@Author : Chenzd
@Project : 联动页面类
@Software: PyCharm
'''
import random
import time
from page.LeeBus.curtain.curtain_editPage import Curtain_editPage
from page.basePage import BasePage
from selenium.webdriver.common.by import By
fro... | null | page/LeeBus/linkage/linkagePage.py | linkagePage.py | py | 13,018 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "public.configLog.Logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "page.basePage.BasePage",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 20,
"usage_type": "attribute"
},
{... |
307872856 | '''
Moudle that contains the two main data types
`target_extraction.data_types.TargetText` and
`target_extraction.data_types.TargetTextCollection` where the later is a
container for the former.
classes:
1. `target_extraction.data_types.TargetText`
2. `target_extraction.data_types.TargetTextCollection`
'''
from coll... | null | target_extraction/data_types.py | data_types.py | py | 56,357 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.abc.MutableMapping",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 88,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 88,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
426385174 | """
import matplotlib.pyplot as plt
x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.scatter(x_values, y_values, s=100)
# 设置图表标题并给坐标轴加上标签
plt.title("Square Number", fontsize=24)
plt.xlabel("Value", fontsize=14)
plt.ylabel("Square of Value", fontsize=14)
# 设置刻度标记的大小
plt.tick_params(axis='both', which='majar'... | null | matplotlib_demo/scatter_squares.py | scatter_squares.py | py | 692 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.cm",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": ... |
124439770 | #import matplotlib as mpl
#mpl.use('Agg')
import matplotlib.pyplot as plt
import pickle
from operator import itemgetter
__author__ = 'fuatbasik'
plt.rcParams['font.size'] = 25
plt.rcParams['ytick.labelsize'] = 22
plt.rcParams['xtick.labelsize'] = 22
plt.rcParams['legend.fontsize'] = 20
#plt.rcParams['axes.titlesize'] =... | null | code/draw/drawLearningTimes.py | drawLearningTimes.py | py | 1,184 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"ap... |
297492134 | import pysat.solvers
import pysat.formula
solvers = ['cadical',
'glucose30',
'glucose41',
'lingeling',
'maplechrono',
'maplecm',
'maplesat',
'minicard',
'minisat22',
'minisat-gh']
clauses = ([1, 2, 3], [-1, 2], [-2])
... | null | test/test_sat.py | test_sat.py | py | 660 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pysat.solvers.formula.CNF",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pysat.solvers.formula",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pysat.solvers",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "py... |
202505081 | #coding: utf-8 -*-
#This is just a proof of concept with probably a lot of bugs, use at your own risks!
#It creates a new tab in the MS Word ribbon, with buttons calling docCleaner scripts from inside Word
#To uninstall it, launch it with the --unregister argument
#You can also remove it from Word (in the "Developer"... | null | dc_winword/wordaddin.py | wordaddin.py | py | 24,079 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
514916179 | import webbrowser
from python_helper import Constant as c
from python_helper import log, StringHelper
from flask import Response, request
import flask_restful
from python_framework.api.src.annotation.MethodWrapper import Function, overrideSignatures
from python_framework.api.src.helper import Serializer
from python_fra... | null | python_framework/api/src/service/flask/FlaskManager.py | FlaskManager.py | py | 25,290 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "python_helper.Constant.DOT_SPACE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "python_helper.Constant",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "python_helper.Constant.LOG_CAUSE",
"line_number": 41,
"usage_type": "attribu... |
424346879 | # -*- coding: utf-8 -*-
import pytest
from chocolatepy import ChocolateApp, ChocolateServer, NonChocolateAppError
from webtest import TestApp
@pytest.fixture
def app_one():
app = ChocolateApp("one")
@app.route("/")
def index():
return "one"
return app
@pytest.fixture
def app_two():
ap... | null | tests/test_server.py | test_server.py | py | 2,216 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "chocolatepy.ChocolateApp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "chocolatepy.ChocolateApp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
631909505 | import array as arr
import re
from matplotlib import pyplot as plt
from matplotlib import style
#creating an array with 'd' as double float
time = arr.array('d',[]); #array for time
value = arr.array('d',[]); #array for voltage/current
#reading file
filename = "rangkaian_RC.csv";
file = open(filename,'r'... | null | plotting_math_graph.py | plotting_math_graph.py | py | 1,185 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "array.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "array.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.style.use",
"line_numbe... |
185123426 | from django.contrib import admin
from .models import Post, Category, Tag, Product
# Register your models here.
class PostAdmin(admin.ModelAdmin):
list_display = ['title','created_time','modified_time','category','author',]
class ProductAdmin(admin.ModelAdmin):
list_display = ['name','excerpt',]
admin.site.register... | null | blog/admin.py | admin.py | py | 513 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 8,
"usage_type": "attribute"
}... |
528888459 | from django.contrib.contenttypes.models import ContentType
from django.core.exceptions import PermissionDenied
from django.http import Http404
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.urls import reverse
from django.utils import timezone
... | null | wagtail/admin/views/pages/create.py | create.py | py | 8,112 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "wagtail.core.models.Page",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "django.core.exceptions.PermissionDenied",
"line_number": 21,
"usage_type"... |
624926750 | from tqdm import tqdm
import textdistance as tt
import pandas as pd
import concurrent.futures
import math
def AdjustYear(x):
if 100 > x > 20:
x = 1900 + x
elif x < 20:
2000 + x
return x
def sim_chooserController(sim_chooser, simple,dif_sim_per_column=False):
if sim_chooser is None and... | null | Prep/features_utills.py | features_utills.py | py | 12,223 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.DataFrame",
"line_number": 145,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
"line_number": 159,
"usage_type": "call"
},
{
"api_name": "textdistance.hamming.normalized_similarity",
"line_number": 182,
"usage_type": "call"
},
{
"api... |
103334059 | # encoding: utf-8
from __future__ import unicode_literals
import os
import tempfile
import unittest
from mock import Mock
from pdefc import CompilerException
from pdefc.lang.packages import PackageInfo
from pdefc.sources import UrlPackageSource, FilePackageSource, InMemoryPackageSource, PackageSources, UTF8, \
Pack... | null | src/pdefc/tests/test_sources.py | test_sources.py | py | 4,299 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pdefc.lang.packages.PackageInfo",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pdef... |
336246661 | import json
import os
import datetime
import argparse
from duplocli.terraform.aws.common.tf_utils import TfUtils
from duplocli.terraform.aws.step1.aws_create_tfstate_step1 import AwsCreateTfstateStep1
from duplocli.terraform.aws.step1.get_aws_object_list import GetAwsObjectList
from duplocli.terraform.aws.step2.aws_tf_... | null | duplocli/terraform/aws/aws_parse_params.py | aws_parse_params.py | py | 9,444 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "duplocli.terraform.aws.common.tf_file_utils.TfFileUtils",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 66,
"usage_type": "attri... |
392625329 | """
Holds handling functions for user operations.
Uses a floating instance of the database client that is instanciated in
the `config.db` module like all other `util` modules.
"""
from config.db import get_database, get_database_client_name
from models import exceptions
import models.users as user_models
# instancia... | null | util/users.py | users.py | py | 1,757 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "config.db.get_database",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.db.get_database_client_name",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.users.UserRegistrationForm",
"line_number": 18,
"usage_type": "attribute... |
367157607 |
from sklearn import neighbors
import pickle
import ProcessImage as image
from matplotlib.colors import ListedColormap
import numpy as np
import matplotlib.pyplot as plt
#k-legkozelebbi szomszed modszere
class train(object):
def __init__(self, neigh_numbers, first_two=False, features=[]):
self.neigh_numbe... | null | beadando-tovabbi-modszerekkel/train_k_neighbours.py | train_k_neighbours.py | py | 3,621 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "ProcessImage.ProcessImages",
"line_number": 35,
"usage_type": "call"
},
{
... |
243717432 | # coding: utf-8
# Author: F. Alex Wolf (http://falexwolf.de)
"""tSNE
Notes
-----
This module automatically choose from three t-SNE versions from
- sklearn.manifold.TSNE
- Dmitry Ulyanov (multicore, fastest)
https://github.com/DmitryUlyanov/Multicore-TSNE
install via 'pip install psutil cffi', get code from github
... | null | scanpy/tools/tsne.py | tsne.py | py | 4,394 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tools.pca.pca",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "MulticoreTSNE.MulticoreTSNE",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 88,
"usage_type": "attribute"
},
{
"api_name": "sklearn.... |
80493053 | from collections import Counter
from decimal import Decimal
from ouretf.accounts.brokerage_account import BrokerageAccount
from ouretf.accounts.exceptions import NotEnoughFundsException, NotEnoughHoldingsException, OrderAlreadyCanceled, \
OrderDoesNotExist
from ouretf.accounts.mock.orders import MockBuyOrder, Moc... | null | ouretf/accounts/mock/account.py | account.py | py | 4,536 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ouretf.accounts.brokerage_account.BrokerageAccount",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 28,
"usage_type": "call"
},... |
261816346 | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import json
import logging
import click
import requests
import yamale
import yaml
from betterboto import client as betterboto_client
from servicecatalog_puppet import asset_helpers
from servicecatalog_pu... | null | servicecatalog_puppet/commands/manifest.py | manifest.py | py | 9,189 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "servicecatalog_puppet.manifest_utils.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
557626240 | from flask import jsonify, request, url_for
from models import User
from urlparse import urlparse, urljoin
# USER AUTHENTICATION FUNCTIONS
# Response handler for user info retrieved from Google OAuth
# Declare local user based on authorized user data
# Register new user if this user has never logged in to my site
# S... | null | helpers.py | helpers.py | py | 1,826 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.User",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "models.User",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_n... |
30676078 | import discord
import datetime
from database.entities.User import User
from commands.utils import Status, get_emoji, mention_author
async def run(db_config, ctx):
author = str(ctx.message.author)
content = ctx.message.content
print("\nReceived message from '"+author+"' with content '"+content+"'")
... | null | DanMemoDiscordBot/commands/bento.py | bento.py | py | 3,196 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "database.entities.User.User.get_user",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "database.entities.User.User",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.