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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
29002547 | import pymongo
from pymongo import MongoClient
import pprint
import os
#from swagger_server.models.vm import VM
MONGO_URL = "mongodb://localhost:27017"
MONGO_DATABASE = "virtual_machine"
MONGO_COLLECTION = "vm"
# Configuration optional default development database host
#default_host = 'some-development-mongo-host'
#... | null | swagger/cloudmesh/awsvm/vmdao.py | vmdao.py | py | 1,400 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
}
] |
286656631 | from rest_framework import filters
from .recommenders.CB_model import cb
class ContentFilter(filters.BaseFilterBackend):
def filter_queryset(self, request, queryset, view):
from .models import Book
book_id = request.GET.get("id", None)
base_book = Book.objects.filter(uid=book_id)
... | null | backend/product/filters.py | filters.py | py | 2,168 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.filters.BaseFilterBackend",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.filters",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Book.objects.filter",
"line_number": 12,
"usage_type": "call"
... |
460280714 | #coding:utf-8
from flask import Flask, render_template, request, redirect, url_for
import numpy as np
import urllib2
import json
#Global variables
app = Flask(__name__)
apiurl = 'https://blockchain.info/ja/ticker'
data = json.load(urllib2.urlopen(apiurl))
curapi = 'http://api.aoikujira.com/kawase/json/usd'
curdata = j... | null | app.py | app.py | py | 1,693 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 1... |
560155762 | import numpy as np
import os
import h5py, pathlib
os.environ['HDF5_USE_FILE_LOCKING'] = 'FALSE'
import glob, json
import fastmri
from fastmri.data import subsample
from fastmri.data import transforms, mri_data
from fastmri.data import SliceDataset
from torch.utils.data import DataLoader, Dataset
import torch
import ... | null | VN_SPIRIT/utils/dataset.py | dataset.py | py | 6,855 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "h5py.File",
... |
26713678 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import django
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "DTS.settings")
django.setup()
from account.models import Member
for member in Member.objects.all():
level = member.level
if level == '1':
member.level = '公司级重点客户'
elif level == ... | null | tags/v3.0.4/tests/update_cutomer_level.py | update_cutomer_level.py | py | 510 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.setdefault",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "account.models.Member... |
320528313 | """empty message
Revision ID: b5933bdba889
Revises: 8e17d9c049f6
Create Date: 2020-07-17 11:21:49.582582
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b5933bdba889'
down_revision = '8e17d9c049f6'
branch_labels = None
depends_on = None
def upgrade():
# ... | null | backend/migrations/versions/b5933bdba889_.py | b5933bdba889_.py | py | 677 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "alembic.op.drop_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.add_column",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
608683182 | import os
import numpy as np
import pandas as pd
from tqdm import tqdm
from collections import Counter
from pandarallel import pandarallel
from utils_preprocess_title import preprocess_title
from keras.preprocessing.sequence import pad_sequences
pandarallel.initialize(progress_bar=True)
TEST_CSV_DIR = './data/test.cs... | null | ml_test_normalization.py | ml_test_normalization.py | py | 1,086 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandarallel.pandarallel.initialize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandarallel.pandarallel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
372127815 | import os
import StringIO
from unipath import Path
from xhtml2pdf import pisa
from django.conf import settings
from django.template import Context
from .models import *
from mongoengine import *
# Create your views here.
from django.http import HttpResponse, HttpResponseRedirect
from django.views.generic import Temp... | null | o_apps/horario/views.py | views.py | py | 5,459 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.template.context.RequestContext",
"line_number": 28,
"usage_... |
113454202 | #!/usr/bin/env python
'''
@author David Stuebe <dstuebe@asasscience.com>
@file abstract_reader.py
@date 03/11/13
@description An abstract class for the particle readers
'''
import numpy
from pystoch import util
from pystoch.datatypes import DT
from pystoch.readers.abstract_reader import AbstractParticleReader
from pyst... | null | SyncModelRun/Push2ESRI/pystoch/pystoch/pystoch/readers/random_generator.py | random_generator.py | py | 6,784 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pystoch.readers.abstract_reader.AbstractParticleReader",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pystoch.datatypes.DT.IDEAL_PARTICLE",
"line_number": 47,
"usage_... |
304350436 | import pytest
from ..tutils import Placeholder
from ..tutils import Playbook
from ..tutils import reply
from mitmproxy.proxy.commands import CloseConnection
from mitmproxy.proxy.commands import OpenConnection
from mitmproxy.proxy.commands import SendData
from mitmproxy.proxy.events import ConnectionClosed
from mitmpro... | null | test/mitmproxy/proxy/layers/test_udp.py | test_udp.py | py | 3,740 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tutils.Playbook",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mitmproxy.proxy.layers.udp.UDPLayer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mitmproxy.proxy.layers.udp",
"line_number": 22,
"usage_type": "name"
},
{
"ap... |
367512370 | import requests
import json
import pprint
import time
import re
#Base Link http://services.runescape.com/m=itemdb_oldschool #API: /api/catalogue/items.json?category=1&alpha=y&page=z
'''
category = '1'
alpha = 'y'
page = 'z'
for i in range(1,12):
page = str(i)
link = 'http://services.runescape.com/m=itemdb_ol... | null | api2.py | api2.py | py | 2,356 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 67,
"usage_type": "call"
}
] |
202482780 | from django import forms
from django.utils.html import escape
from application.presentation.utilities import NannyForm
from datetime import date
from application.presentation.form_fields import CustomSplitDateField
from dateutil.relativedelta import relativedelta
class FirstAidTrainingDetailsForm(NannyForm):
"""
... | null | application/presentation/first_aid/forms/training_details.py | training_details.py | py | 2,389 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "application.presentation.utilities.NannyForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 17,
"usage_type": "name"
},
{
"a... |
178447575 | from urllib.request import urlopen
from bs4 import BeautifulSoup
import datetime
import re
import random
random.seed(datetime.datetime.now())
def getLinks(articleUrl):
html = urlopen("http://en.wikipedia.org"+articleUrl)
bsObj = BeautifulSoup(html,"html.parser")
pattern = re.compile("^(/wiki/)((?!:).)*$")... | null | data_scraping/wikiLink.py | wikiLink.py | py | 623 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.seed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.... |
147504174 | import pandas as pd
import numpy as np
import chainer
import chainerrl
import matplotlib.pyplot as plt
def execute(experiment):
df = preprocessing()
env = build_env(df)
agent = build_agent(env, experiment)
learn_agent(env, agent, experiment)
df_result = simulate_agent(env, agent, experiment)
b... | null | investment_stocks_predict_trend/agent_2.py | agent_2.py | py | 7,324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_n... |
438618384 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import random
def rand_num(seed, a, c, m, n):
result = np.zeros(n)
num1 = seed
for i in range(n):
result[i] = num1 / 256
# print(num1)
num1 = (a * num1 + c) % m
return result
def prob2(color):
... | null | Ch4/problems.py | problems.py | py | 2,193 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 2... |
632001878 | #!/usr/bin/python
from __future__ import print_function
import cv2 as cv
import numpy as np
import sys
import os
if __name__ == '__main__':
print(__doc__)
try:
fn = sys.argv[1]
except IndexError:
fn = "board.jpg"
#while(1):
src = cv.imread(fn)
out = cv.medianBlur(src, 7)
p_in = out
#till here reading pho... | null | VisionCode/parts/colorFilter.py | colorFilter.py | py | 766 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.medianBlur",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_numb... |
519449481 | import numpy as np
import itertools as it
import ctypes as ct
class Interaction(object):
"""
Base Interaction class.
"""
def __init__(self):
pass
def forces(self, x, v, pairs=None):
"""
Main loop calculation.
NOTE: This is highly experimental and slow.
It is just meant to be a proof of c... | null | pexmd_test/morse.py | morse.py | py | 3,432 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros_like",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "itertools.combinations"... |
214268020 | import discord, random, asyncio, chalk,re
from discord.ext import commands as client
from Cogs.config import conf
class Event(client.Cog):
def __init__(self, bot):
self.b = bot
@client.Cog.listener()
async def on_ready(self): #When the bot is ready
print("\n")
print(c... | null | yuri/Cogs/events.py | events.py | py | 28,881 | python | en | code | null | code-starcoder2 | 66 | [
{
"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": "chalk.green",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Cogs.con... |
460527753 | ''' Copyright (c) 2013 Potential Ventures Ltd
Copyright (c) 2013 SolarFlare Communications Inc
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above c... | null | cocotb/decorators.py | decorators.py | py | 14,586 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.modules",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "cocotb.log.SimLog",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "cocotb.log.SimLog",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "cocotb.triggers.... |
603064702 | # coding:utf-8
import random
from os import listdir
import numpy as np
from PIL import Image
def sigmoid(x):
return 1 / (1 + np.exp(-x))
def diff_sigmoid(x):
val = sigmoid(x)
return val * (1 - val)
def tanh(x):
return np.tanh(x)
def diff_tanh(x):
val = tanh(x)
return 1 - val * val
de... | null | backPropagation3.py | backPropagation3.py | py | 14,680 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.tanh",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.ones_like",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 3... |
132445016 | import sublime, sublime_plugin
import json
import gzip
import webbrowser
import threading
import urllib
try:
import StringIO
except ImportError:
import io as StringIO
class QueryThread (threading.Thread):
PREFIX = "[StackExchangeQuery]: "
def __init__(self, name, edit, view):
threading.Thread.... | null | StackExchangeQuery.py | StackExchangeQuery.py | py | 3,227 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Thread",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": ... |
536819634 | from django import template
import datetime
from xamine.models import TimeCategory, WeeklyHours, Order, Team, User
from xamine.utils import is_in_group
register = template.Library()
@register.simple_tag
def get_patient_count(staff, week_of=datetime.date.today() - datetime.timedelta(days=datetime.date.today().weekday... | null | xamine/templatetags/get_patient_count.py | get_patient_count.py | py | 1,150 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.template.Library",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
413558056 | from flask import Flask, render_template, redirect, url_for, request, flash
import psycopg2
from datetime import datetime, date
import pymongo
app = Flask(__name__)
app.secret_key = 'F1askPy2000'
con = psycopg2.connect(host="localhost", database="Faculty_leave_management_DB", user="postgres", password="postgres")
cur... | null | main.py | main.py | py | 22,379 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"... |
554353719 | import numpy as np
import woodwork as ww
from scipy.stats import shapiro
from evalml.data_checks import (
DataCheck,
DataCheckAction,
DataCheckActionCode,
DataCheckError,
DataCheckMessageCode,
DataCheckWarning,
)
from evalml.utils import infer_feature_types
class TargetDistributionDataCheck(D... | null | evalml/data_checks/target_distribution_data_check.py | target_distribution_data_check.py | py | 4,850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "evalml.data_checks.DataCheck",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "evalml.data_checks.DataCheckError",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "evalml.data_checks.DataCheckMessageCode.TARGET_IS_NONE",
"line_number": 51,
... |
499880354 | #!/usr/bin/python
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | null | neat/main.py | main.py | py | 12,443 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "absl.flags.FLAGS",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_str... |
645422779 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 31 11:28:23 2017
Code to examine average light curves of objects in certain flux bins.
@author: ppxee
"""
### Import required libraries ###
import matplotlib.pyplot as plt #for plotting
from astropy.io import fits #for handling fits
#from astropy.... | null | avglightcurve.py | avglightcurve.py | py | 4,508 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "astropy.io.fits.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "astrop... |
249066035 | import shutil
from main import conv, videoCut
import os
import time
import json
# 创建临时文件夹
def createTempFolder():
create_path = ['temp1', 'temp2']
for cpath in create_path:
if not os.path.exists(cpath):
os.makedirs(cpath)
def createVideoFrameTemp(d2rs):
tempFolder = ['temp2']
for... | null | c3onv.py | c3onv.py | py | 3,106 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
275848809 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from mpi4py import MPI
import numpy as np
# Use default communicator. No need to complicate things.
COMM = MPI.COMM_WORLD
size = COMM.size
rank = COMM.Get_rank()
status = MPI.Status()
# Collect whatever has to be done in a list. Here we'll just collect a... | null | Embarrassingly_parallel_PTP.py | Embarrassingly_parallel_PTP.py | py | 1,361 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mpi4py.MPI.Status",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI",
... |
654173998 | from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from common.models import ReleaseNotes, ReleaseStatistics, ReleaseStatisticsType
from protein.models import Protein, Species
from ligand.models import Ligand
from structure.models import Structure
from mutation.models im... | null | build/management/commands/build_release_notes.py | build_release_notes.py | py | 3,201 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.sep.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": ... |
591594737 | import numpy as np
import keras
from keras import Sequential, optimizers, regularizers
from keras.layers import Dense
from rdkit.Chem import Descriptors, MolFromSmiles
from rdkit.Chem.AllChem import GetMorganFingerprintAsBitVect
from rdkit import rdBase
rdBase.DisableLog('rdApp.error')
from sklearn.base import BaseE... | null | pIC50_predictor/pIC50_predictor/sklearn_predictor.py | sklearn_predictor.py | py | 2,160 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rdkit.rdBase.DisableLog",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rdkit.rdBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sklea... |
324332646 | '''
Created on 16 Aug 2016
@author: james
from: http://machinelearningmastery.com/using-learning-rate-schedules-deep-learning-models-python-keras/
'''
# Two popular and easy to use learning rate schedules are as follows:
# - Decrease the learning rate gradually based on the epoch.
# - Decrease the learning rate using... | null | src/tutorial09_learningRateSchedule.py | tutorial09_learningRateSchedule.py | py | 3,648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.preproces... |
285562752 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import datetime
import warnings
import math
warnings.filterwarnings("ignore")
from sklearn.model_selection import KFold, train_test_split, StratifiedKFold
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from skle... | null | data/dacon/comp3/dacon01_Conv1D.py | dacon01_Conv1D.py | py | 3,475 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_cs... |
393049343 | import json
import sklearn
import sqlite3
from gensim.models import word2vec , doc2vec
import gensim
import pickle
from gensim.parsing import *
from gensim.similarities.docsim import SparseMatrixSimilarity ,Similarity
def preprocess(text):
CUSTOM_FILTERS = [lambda x: x.lower(), strip_tags, strip_punctuation,stem_... | null | gamerecommder/search.py | search.py | py | 1,463 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gensim.parsing.preprocess_string",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gensim.parsing",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gensim.corpora",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name... |
607030555 | from rest_framework.permissions import IsAuthenticated
from django.http import Http404,JsonResponse
from rest_framework_simplejwt.tokens import RefreshToken
from rest_framework import status
from ...serializers.user_serializer import UserSerializer
from rest_framework.response import Response
from rest_framework.views ... | null | bouncer/api/views/auth/email_verification.py | email_verification.py | py | 1,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.user.User.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.user.User.objects",
"line_number": 14,
"usage_type": "attribute"
},
... |
257540437 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | null | src/fleet/azext_fleet/tests/latest/test_validators.py | test_validators.py | py | 1,476 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "azure.cli.core.util.CLIError",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "azext_fleet._validators.validate_member_cluster_id",
"line_number": 22,
"usage_ty... |
454901909 | from flask import request, jsonify, abort
from sqlalchemy.orm.exc import NoResultFound
from server_root import app, db, regional_db
from sqlalchemy import and_, or_
from server_root.models.users.models import User, user_contacts
from server_root.models.users.models import check_cur_user_token
from server_root.models.me... | null | server_root/apis/v1/send_request/api.py | api.py | py | 6,675 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "server_root.regional_db.session.query",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "server_root.models.users.models.user_contacts",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "server_root.regional_db.session",
"line_number": 20,
... |
168988961 | import numpy as np
from scipy.constants import Boltzmann, atomic_mass, hbar, electron_volt
from functools import partial
from scipy.constants import physical_constants
from scipy.integrate import quad
k_b = physical_constants['Boltzmann constant in eV/K'][0]
def f_nu(nu):
tmp0 = (2.0 / 3.0) * ((1.0 + nu) / (1.0... | null | cmtools/debye.py | debye.py | py | 4,853 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.constants.physical_constants",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "scipy.optimize.brentq",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.finfo",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "s... |
555124917 | from blueprints import db
from flask_restful import fields
import datetime
class Product(db.Model):
__tablename__ = "product"
product_id = db.Column(db.Integer, primary_key = True, autoincrement = True)
admin_id = db.Column(db.Integer, nullable = False)
product_name = db.Column(db.String(100), nullabl... | null | blueprints/product/model.py | model.py | py | 1,950 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "blueprints.db.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "blueprints.db",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "blueprints.db.Column",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "blueprints.d... |
509527900 | # -*- coding: utf-8 -*-
from __future__ import print_function
from pprint import pprint
from fractions import *
import numpy as np
class pg_point(np.ndarray):
def __new__(cls, inputarr):
obj = np.asarray(inputarr).view(cls)
return obj
def __eq__(self, other):
if type(othe... | null | proj_geom.py | proj_geom.py | py | 5,672 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.cross",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray.__add__",
... |
143641804 | # -*- coding: utf-8 -*-
"""
flask_jsondash.db_adapters
~~~~~~~~~~~~~~~~~~~~~~~~~~
A translation adapter for making queries between storage types.
Types are either:
1. PostgreSQL json fields
2. MongoDB collections.
"""
import json
from datetime import datetime as dt
from pymongo import MongoClient
from . import se... | null | flask_jsondash/db_adapters.py | db_adapters.py | py | 2,830 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "json.load... |
488486456 | from crudlfap import shortcuts as crudlfap
from django.conf import settings
from django.conf.urls import include, re_path
from django.views.static import serve
urlpatterns = [
crudlfap.site.urlpattern,
re_path(
r'^%s(?P<path>.*)$' % settings.STATIC_URL.lstrip('/'),
serve,
kwargs=dict(d... | null | src/crudlfap_example/urls.py | urls.py | py | 544 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "crudlfap.shortcuts.site",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "crudlfap.shortcuts",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.re_path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
153281024 | """Translates one or all of the english source files to target language
"""
from argparse import ArgumentParser, ArgumentTypeError, Namespace
from dataclasses import fields
from pathlib import Path
from languages import Language, LanguageCollection, source_language, target_language
from tqdm import tqdm
from translat... | null | # Development/tools/machine_translation/main.py | main.py | py | 3,426 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "languages.target_language",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pathli... |
463807741 | import string
import pyperclip
ALPHABET = list(string.ascii_uppercase)
def main():
print('Vigenère Cipher')
print('The Vigenère cipher is a polyalphabetic substitution cipher that was powerful enough to remain unbroken for centuries.')
print('Do you want o (e)ncrypt of (d)ecrypt?')
while True:
... | null | Chapter_80_VigenereCipher/VigenereCipher.py | VigenereCipher.py | py | 2,319 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "string.ascii_uppercase",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyperclip.copy",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pyperclip.copy",
"line_number": 75,
"usage_type": "call"
}
] |
176607147 | import asyncio
# swap
a = 1
b = 2
a, b = b, a
print(a, ' and ', b)
# inequality
if 3 < 5 < 7:
print('3 < 5 < 7')
# document
help(asyncio.run)
# instance of
print(type(lambda x: 1))
print(type(asyncio.get_event_loop()))
class Xyz:
id = None
name = None
def __init__(self, id, name):
self.id ... | null | practice/trick.py | trick.py | py | 863 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.run",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 17,
"usage_type": "call"
}
] |
516023051 | import os
import pathlib
import subprocess
# Local imports
from .common import PARTICLE_DEPS, running_on_windows, particle_cli, projectFiles
from .common import ProcessError, ProjectError, UserError, min_particle_env
from .manifest import load_manifest, get_manifest_value
from .project import get_settings, check_libra... | null | neopo/build.py | build.py | py | 6,182 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
205191116 | import serial
import time
from postRequest import *
def readGasSensor(ser):
b = "\r".encode()
ser.write(b)
line = ser.readline().decode('utf-8')
values = line.split(", ")
return float(str(values[1]))/1000.0
def run():
serials = []
for x in range(5):
serials.append(serial.Seria... | null | sendGas.py | sendGas.py | py | 1,431 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 54,
"usage_type": "call"
}
] |
461582388 | from numpy import zeros, linspace
import matplotlib.pyplot as plt
# Time unit: 1 h
beta = 10./(40*8*24)
gamma = 3./(15*24)
dt = 0.1 # 6 min
D = 30 # Simulate for D days
N_t = int(D*24/dt) # Corresponding no of hours
t = linspace(0, N_t*dt, N_t+1)
S = zeros(N_t+1)
I = zeros(N_t+1)
R = zeros... | null | Programming_for_Computations/SIR1.py | SIR1.py | py | 752 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number... |
623969504 | import os, subprocess,sys,commands
from time import strftime
from datetime import date
import socket
import json
### Utility Methods and Global Variables ###
sys.path.append(os.environ['OPENCMISSEXAMPLES_ROOT'])
hostname = socket.gethostname()
def append_path(prefix, suffix) :
if (not prefix.endswith("/")) :
... | null | noseMain.py | noseMain.py | py | 6,875 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.gethostname",
... |
107774680 | # -------------------------
# Project: Deep Q-Learning on Flappy Bird
# Author: Flood Sung
# Date: 2016.3.21
# -------------------------
import cv2
import sys
sys.path.append("game/")
import wrapped_flappy_bird as game
from BrainDQN_Nature import BrainDQN
import numpy as np
import neat
import gym
import visualize
CON... | null | My_FlappyBird/FlappyBirdGA.py | FlappyBirdGA.py | py | 4,326 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "neat.Config",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "neat.DefaultGenome",
"lin... |
554172713 | from __future__ import print_function, division
from torch.autograd import Variable
import numpy as np
import cv2
import os
import torch
import io
import pandas as pd
import helper as helper
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
import random
import imgaug as ia
fro... | null | scripts/dataset.py | dataset.py | py | 7,479 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
146548865 | import os
import requests
import json
from bs4 import BeautifulSoup
if "DEFINING VARIABLES IN CURRENT NAMESPACE":
reviewstring = "https://www.rottentomatoes.com/m/{movie}/reviews/?page={page}&type={reviewer_type}&sort="
reviewpage = reviewstring.format
CRITIC, TOP_CRITIC, USER = range(3)
html_param = {... | null | __main__.py | __main__.py | py | 6,574 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "reques... |
126856163 | #!/usr/bin/env python
# coding: utf-8
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from __future__ import unicode_literals
import os
from .visual import individual
from .visual import profusion
from .visual.common import hp_kwargs_generator
from .visual... | null | benchmark/COMPARE/S3D2/REG-Marginal.py | REG-Marginal.py | py | 2,849 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "visual.common.make_hp_table",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "hyper_parameters.REG_M_HP",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "loader.REGLoader",
"line_number": 25,
"usage_type": "argument"
},
{
"ap... |
74690352 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QGraphicsView, QApplication
class SlideGraphicsView(QGraphicsView):
def __init__(self, scene, *args, zoomhandler=None, **kwargs):
super().__init__(scene, *args, **kwargs)
self.zoom_handler = None
def setZoomhandler(self, zoomhandler):
... | null | histoslider/slide_viewer/SlideGraphicsView.py | SlideGraphicsView.py | py | 1,950 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QGraphicsView",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QApplication.keyboardModifiers",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 43,
"usage_type... |
454810726 | from keras.applications.resnet50 import ResNet50
from keras.preprocessing import image
from keras.applications.resnet50 import preprocess_input
from keras.models import Model
import numpy as np
import time
import cv2
def collect_demo(path, num_patch, aux_dim, action_dim):
for i in range(num_patch):
path_... | null | wgail_info_2/preprocess.py | preprocess.py | py | 3,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_... |
621594947 | # Copyright 2019-2020 SURF.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | null | orchestrator/api/api_v1/endpoints/subscriptions.py | subscriptions.py | py | 7,258 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fastapi.routing.APIRouter",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "structlog.get_logger",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "orchestrator.db.SubscriptionTable",
"line_number": 49,
"usage_type": "name"
},
{
"... |
172221184 | #!/usr/bin/env python3
import numpy as np
import argparse
import random
import os
from collections import Counter
import math
parser = argparse.ArgumentParser(description='Calculates WER on each Line from the provided two text files')
parser.add_argument('input_1', help="Hypotheses, your Text to evaluate against grou... | null | Walkest1_Code/Base_Model_Google_API/script_Google_Evaluate.py | script_Google_Evaluate.py | py | 5,014 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext... |
188276977 | import subprocess
import re
import csv
import os
import time
import shutil
from datetime import datetime
# 创建一个空列表
active_wireless_networks = []
# 测试ESSID是否已在列表文件中
def check_for_essid(essid, lst):
check_status = True
# 如果列表中没有ESSID，则添加该行
if len(lst) == 0:
return check_status
# 仅当列表中有无线访问点时，此... | null | WIFIDOS/wifidos.py | wifidos.py | py | 5,938 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.keys",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_numb... |
37552251 | from typing import List, Optional, Dict
import json
import asyncio
import logging
import argparse
import uvloop
from concurrent.futures import ThreadPoolExecutor
from ..utils import tqdm
from . import Transfer, Copier
from .router_fs import RouterAsyncFS
from .utils import make_tqdm_listener
async def copy(*,
... | null | hail/python/hailtop/aiotools/copy.py | copy.py | py | 4,488 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
271458925 | """config objects and session objects to build decoders, caches and all
kinds of other useful things for retro-conversion.
"""
from pathlib import Path
import libaaron
import deromanize
import enum
from . import filters
from .decode import Decoder
from typing import NamedTuple
CACHE_NAMES = "DIN1982", "LOC/ALA", "phon... | null | arc/config.py | config.py | py | 8,578 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "deromanize.Config",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"... |
342606330 | import os
import sys
import tempfile
from collections import Counter
import mock
import pytest
from prequ._pip_compat import path_to_url, url_to_path
from prequ.exceptions import IncompatibleRequirements
from prequ.sync import dependency_tree, diff, merge, sync
from prequ.utils import get_ireq_version, key_from_dist,... | null | tests/test_sync.py | test_sync.py | py | 12,212 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mock.patch.object",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "mock.patch",
... |
650735597 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | null | seeseehome/linkboard/migrations/0001_initial.py | 0001_initial.py | py | 1,047 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
556112362 |
'''
Named Placeholder
'''
import sqlite3
conn = sqlite3.connect("C:/CodeLab/SQLite/sqlite-shell/test.db")
cur = conn.cursor()
# where 절의 :Id 가 Named Placeholder입니다.
# 이 Id의 값은 execute() 메서드의 두번째 파라미터에 지정됩니다.
# 이 값은 Tuple이 아닌 Dictionary 형태로 Id 값이 지정된다.
sql = "SELECT * FROM customer WHERE id = :Id"
# 첫번째 파라미터에... | null | PythonData/src/ch-SQLite/ex04.py | ex04.py | py | 616 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
}
] |
151677745 | # -*- coding: utf-8 -*-
"""Identify common checkmate patterns in games.
Identifies all games in a PGN file that ended in a common checkmate pattern.
Currently identifiable patterns:
back rank, hook, Anastasia's, Arabian, smothered.
Mostly adapted from Thibault's Duplessis code for Lichess puzzles v2:
https:/... | null | R/Python/checkmate_patterns.py | checkmate_patterns.py | py | 7,671 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "chess.Board",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "chess.square_rank",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "chess.SquareSet.from_square",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "chess.Squar... |
21221340 | # Práctica final RNA
from __future__ import print_function
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Activation, Reshape
from keras.optimizers import SGD
from keras.layers.normalization import BatchNormalization as BN
from keras.layers import Gauss... | null | RNA/DA.py | DA.py | py | 3,387 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 40,
"usage_type": "call"
},
{
"ap... |
643302232 | import requests, sys
import ssl
import base64
import json
from aip import AipFace
#得到acess_token验证码
url = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=LwciGoB63nAAYnB8PHi4kSoU&client_secret=aAtGzvxaUP83aOR1bOhy1pVfiD93sGNx'
d = {'Content-Type':'application/json','charset':'UTF-8'}... | null | 百度人脸识别api/模板.py | 模板.py | py | 1,937 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 33,
"usage_type": "call"
}
] |
134439660 | #!/usr/bin/env python
import os
import jinja2
import webapp2
from models import Models
template_dir = os.path.join(os.path.dirname(__file__), "templates")
jinja_env = jinja2.Environment(loader=jinja2.FileSystemLoader(template_dir), autoescape=False)
class BaseHandler(webapp2.RequestHandler):
def write(self, *... | null | main.py | main.py | py | 3,605 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line... |
161156114 | import aiohttp
import asyncio
import time
from time import struct_time, localtime
from src.util.config import load_config
from src.util.default_root import DEFAULT_ROOT_PATH
from src.util.byte_types import hexstr_to_bytes
from src.rpc.full_node_rpc_client import FullNodeRpcClient
def make_parser(parser):
parser... | null | src/cmds/netspace.py | netspace.py | py | 4,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.struct_time",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "src.util.config.load_co... |
276282345 | import logging
from logging.handlers import RotatingFileHandler
import configration
class Logger(object):
def __init__(self):
pass
@staticmethod
def get_logger(name):
log = logging.getLogger(name)
if log.handlers:
return log
else:
config = configra... | null | common/logger.py | logger.py | py | 818 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "configration.ConfigurationHolder",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "... |
557215075 | """
Collection of microservices on top of tokenize-uk python module.
tokenize-uk uses regexes and rules to tokenize text into paragraphs,
paragraphs into sentences and sentences into words.
"""
from aiohttp import web
from aiohttp_validate import validate
from aiohttp_swaggerify import swaggerify, document
from tokeni... | null | app.py | app.py | py | 1,659 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tokenize_uk.tokenize_text",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "aiohttp_validate.validate",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "schema.TOKENIZE_TEXT_INPUT_SCHEMA",
"line_number": 23,
"usage_type": "name"
},
{
... |
283360165 | from __future__ import print_function
from pyimagesearch.descriptors import DetectAndDescribe
from pyimagesearch.ir import BagOfVisualWords
from pyimagesearch.localbinarypatterns import LocalBinaryPatterns
from pyimagesearch.object_detection.helpers import sliding_window_double,sliding_window
from pyimagesearch.object... | null | src/train_hs.py | train_hs.py | py | 8,411 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "h5py.File",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pickle.loads",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pyimagesearch.localbinarypatterns.LocalBinaryPatterns",
"line_number": 60,
"usage_type": "call"
},
{
"api_... |
123626833 | import pygame
import random
import math
# resting sprite
background = pygame.image.load("start.png")
class Player(object):
walk_right_mouse = [pygame.image.load("mouse/tile003.png"), pygame.image.load("mouse/tile004.png"),
pygame.image.load("mouse/tile005.png")]
walk_left_mouse = [p... | null | chars.py | chars.py | py | 7,401 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.image.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
340566967 | #
# Copyright (C) 2011 Red Hat, Inc.
# Copyright (C) 2011 Cole Robinson <crobinso@redhat.com>
#
# Python implementation of autodrawer, originally found in vinagre sources:
# http://git.gnome.org/browse/vinagre/tree/vinagre/view
# Copyright (c) 2005 VMware Inc.
#
# This program is free software; you can redistribute it ... | null | lib/autodrawer.py | autodrawer.py | py | 18,636 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gi.require_version",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.Box",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "gi.re... |
646837550 | from django.shortcuts import render
from django.http import HttpResponse
import requests
def home_page(request):
print("REQUEST: ", request)
url = "https://jikan1.p.rapidapi.com/search/anime"
querystring = {"q": "sword"}
headers = {
'x-rapidapi-host': "jikan1.p.rapidapi.com",
'x-r... | null | rec_webapp/content/views.py | views.py | py | 538 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.request",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 22,
"usage_type": "call"
}
] |
179336937 | import calendar
from datetime import datetime, timedelta
import os
import json
from cStringIO import StringIO
import time
import urllib2
from django.conf import settings
import fudge
from fudge.inspector import arg
import jwt
import mock
from nose.tools import eq_
from requests.exceptions import RequestException, Tim... | null | mkt/inapp_pay/tests/test_tasks.py | test_tasks.py | py | 14,172 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mkt.inapp_pay.tests.test_views.PaymentTest",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "users.models.UserProfile.objects.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "users.models.UserProfile.objects",
"line_number": 32,
"us... |
563641422 | # coding:utf-8
import sys
from setuptools import setup, find_packages
kwargs = {}
install_requires = []
version = '1.6.0.7'
if sys.version_info < (3, 0):
with open('README.md') as f:
kwargs['long_description'] = f.read()
with open('requirements.txt') as f:
for require in f:
inst... | null | setup.py | setup.py | py | 1,339 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.version_info",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.platform.startswith",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "s... |
362662001 | """
Download dataset, extract, and remove zip file.
"""
import os
import urllib.request
import zipfile
filename = 'data.zip'
url = 'http://vips.sci.univr.it/research/fformation/download/data.zip'
response = urllib.request.urlopen(url)
with open(filename, 'wb') as f:
f.write(response.read())
with zipfile.ZipFile(... | null | get_dataset.py | get_dataset.py | py | 379 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
554477403 | #!/usr/bin/env python
"""
@package mi.idk.instrument_agent IDK Instrument resource agent
@file mi/idk/instrument_agent.py
@author Bill French
@brief Speciaized instrument agent for the IDK to trap event and publish.
In the IDK we don't test all the way to a data granule, but stop at the
data particle. This is so if ... | null | mi/idk/instrument_agent.py | instrument_agent.py | py | 2,102 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ion.agents.instrument.instrument_agent.agents",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "ion.agents.instrument.instrument_agent",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "ion.agents.instrument.instrument_agent.agents.instrumen... |
190273897 | """BCP Server interface for the MPF Media Controller"""
# bcp_server.py
# Mission Pinball Framework
# Written by Brian Madden & Gabe Knuth
# Released under the MIT License. (See license info at the end of this file.)
# The Backbox Control Protocol was conceived and developed by:
# Quinn Capen
# Kevin Kelm
# Gabe Knuth... | null | mpf/media_controller/core/bcp_server.py | bcp_server.py | py | 6,587 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Thread",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": ... |
265846969 | from flask import Flask
app = Flask(__name__)
from flask import render_template, request, redirect, url_for
from Ornament_group import game
import os
from werkzeug.utils import secure_filename
@app.route("/")
def main():
return render_template('ornament_group.html')
def allowed_file(filename):
return '... | null | app.py | app.py | py | 2,875 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
39879775 | import os
import matplotlib.pyplot as plt
import statsmodels.api as sm
# from scipy.fftpack import fft, ifft
from numpy.fft import fft
from matplotlib.pylab import mpl
import numpy as np
import image_enhance
from statsmodels.tsa.stattools import adfuller
from statsmodels.tsa.stattools import coint
#
# mode = 'zone'
#... | null | fft_test4.py | fft_test4.py | py | 11,478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.load",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 87,... |
466860607 | import os
import MySQLdb
import MySQLdb.cursors
import requests
from itertools import groupby
from operator import itemgetter
from dataset import Dataset
def get_db_connection():
mysql_host = os.getenv('DB_HOST', '127.0.0.1')
mysql_user = os.getenv('DB_USER', '')
mysql_password = os.getenv('DB_PASSWORD', ... | null | backend/cron_jobs/pay_provider/pay_provider.py | pay_provider.py | py | 2,056 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
... |
445003479 | import requests
from bs4 import BeautifulSoup
import json
def get_data(url):
HEADERS = {
'Accept': 'text/html, */*; q=0.01',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'ru,en;q=0.9',
'Connection': 'keep-alive',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win... | null | parser.py | parser.py | py | 1,278 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 30,
"usage_type": "call"
}
] |
289253046 | # -*- coding: utf-8 -*-
"""
Module to interact with a Focus EVC300 module.
Uses the pySerial module to communicate with the device.
Assumes the address is of the form COM<xx> where
<xx> is the relevant port.
Version 1.0 (2023-02-27)
Daan Wielens - Researcher at ICE/QTM
University of Twente
d.h.wielens@utwente.nl
"""
... | null | instruments/EVC300.py | EVC300.py | py | 4,287 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 23,
"usage_type": "attribute"
}
] |
458216520 | # -*- coding: utf-8 -*-
# AZ | May 25th, 2015
from scrapy.item import Item
from scrapy.item import Field
class HotelPage(Item):
hotel_name = Field() # Name of the hotel.
hotel_link = Field() # Link to the hotel page.
hotel_stars = Field() # Number of hotel's stars
hotel_reviews = Field() ... | null | TA_master/items.py | items.py | py | 1,585 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.item.Item",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "scrapy.item.Field",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scrapy.item.Field",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scrapy.item.Field",... |
547466954 | from django import template
from django.utils.safestring import mark_safe
import markdown2
from courses.models import Course
register = template.Library()
# better way to register tag
@register.simple_tag
def newest_course():
"""Get most recent course added to library."""
# This is a simple tag, which retur... | null | Learn_Django/_08_Customizing_Django_Templates/courses/templatetags/course_extras.py | course_extras.py | py | 1,540 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.template.Library",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "courses.models.Course.objects.latest",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
575170202 | import requests
def get_deconz_info(domain="sensors"):
try:
request_string = "http://192.168.1.45:40850/api/1C17E08298/" + domain
r = requests.get(request_string)
if r.status_code != 200:
print("\nThere was a problem downloading from Deconz, error code: ", r.status_code)
exc... | null | apicode6.py | apicode6.py | py | 3,846 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
}
] |
169311322 | """
Implementation taken from: https://github.com/locuslab/TCN and modified to work with 2D inputs
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import weight_norm
from LongTermClassificationMain.Models.model_utils import ReversalGradientLayerF
class Ch... | null | LongTermClassificationMain/Models/raw_TCN_no_BN.py | raw_TCN_no_BN.py | py | 6,126 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
159352261 | import io
import numpy as np
from PIL import Image
import deep_dream
def save_image(img, name):
im = np.array(img)
fft_mag = np.abs(np.fft.fftshift(np.fft.fft2(im)))
visual = np.log(fft_mag)
visual = (visual - visual.min()) / (visual.max() - visual.min())
result = Image.fromarray((visual * 255).astype(np.u... | null | TraeumeTiefAllein.py | TraeumeTiefAllein.py | py | 853 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.fft.fftshift",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"line_number... |
215738121 | from lib.hand_eval import convert_string_to_int
from Global import State
from lib.starting_hands import classify_hole, HoleScorer
from random import random
SEAT1 = 1
SEAT2 = 2
SEAT3 = 3
TWO_PLAYERS = 2
THREE_PLAYERS = 3
PLAY_PREFLOP = .3
UTG_EXTRA = .1
RAISE_UTG = .75
MIN_RAISE_UTG = .85
UTG_BLUFF = .02
SB_EXTRA = ... | null | players/v3/Preflop.py | Preflop.py | py | 13,028 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lib.hand_eval.convert_string_to_int",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "Global.State.timebank",
"line_number": 94,
"usage_type": "attribute"
},
{
"api_name": "Global.State",
"line_number": 94,
"usage_type": "name"
},
{
"api_n... |
198814755 | import requests
#Getting the HTML of the website:
url= 'https://en.wikipedia.org/wiki/List_of_Asian_countries_by_area'
# requesting HTML of the website:
response = requests.get(url).text
from bs4 import BeautifulSoup
soup = BeautifulSoup(response,'lxml')
#print(soup.prettify()) #to check the connection
#extracting ... | null | wikiscraping.py | wikiscraping.py | py | 921 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
}
] |
426452785 | import requests
from bs4 import BeautifulSoup
from googletrans import Translator
from pprint import pprint
import pandas as pd
import re, os
from requests_testadapter import Resp
from fetch_urls import get_item_details
class LocalFileAdapter(requests.adapters.HTTPAdapter):
def build_response_from_file(s... | null | main.py | main.py | py | 3,564 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.adapters",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.getsize",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "requests_testadap... |
283817484 | from datetime import datetime
from AER_experimentalist.experiment_environment.IV_in_silico import IV_In_Silico as IV
from AER_experimentalist.experiment_environment.DV_in_silico import DV_In_Silico as DV
from AER_experimentalist.experiment_environment.variable import outputTypes as output_type
from AER_experimentalist.... | null | run_weber_original_study_slurm.py | run_weber_original_study_slurm.py | py | 4,850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "AER_e... |
627523988 | from abc import ABC
from typing import Tuple
from main.model.character.alignment import Alignment
from main.model.character.utility.enumerators.size import Size
from test_helper.race_test_helper import RaceTestHelper
class HalflingTestHelper(RaceTestHelper, ABC):
def _test_halfling_init(
self,
... | null | test_helper/races/halfling_test_helper.py | halfling_test_helper.py | py | 2,945 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "test_helper.race_test_helper.RaceTestHelper",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "main.m... |
202135817 | from math import pi
import time
import pandas as pd
import matplotlib.pyplot as plt
import odrive
from odrive.enums import *
from control.trajectory import *
import calibrate
import configure
import archive_pandas
import trajectory
name_plot = ""
def gains_iterator(odrv, kp_min=25, kp_max=25, kv_min=250/1000, kv_ma... | null | Odrive_control/archive/archive_data.py | archive_data.py | py | 3,563 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "archive_pandas.build_raw",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "trajectory.build_trajectory",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "configur... |
413848795 | import numpy as np
import cv2
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('E:/visual studio/share/Python37_64/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('E:/visual studio/share/Python37_64/Lib/site-packages/cv2/data/haarcascade_eye.xml')
... | null | student/yzy/opencv_facetracking.py | opencv_facetracking.py | py | 1,101 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.line",
... |
115539358 | # importing the required packages
import re
import string
import numpy as np
from random import shuffle
from nltk.stem import PorterStemmer
import matplotlib.pyplot as plt
from collections import Counter
# convert data to one-hot encoding format
# 0-ham 1-spam encoding used
def one_hot_enc():
for i in train:
token... | null | 15CS10053_ML_A2/b.py | b.py | py | 10,524 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_... |
60960302 | import os
from flask import Flask, render_template, send_from_directory
def create_app(config_path):
# setup flask
app = Flask('jazzband')
@app.errorhandler(404)
def page_not_found(e):
return render_template('error.html'), 404
@app.errorhandler(403)
def forbidden(error):
retu... | null | jazzband/app.py | app.py | py | 2,944 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_t... |
186984379 | from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.corpus import cess_esp as cess
from nltk import UnigramTagger as ut
import pandas as pd
from scipy import spatial
import numpy as np
from sklearn.metrics import pairwise_distances
from sklearn.metrics.pairwise import cosine_similarity
from scipy.spa... | null | devItems/ETICodeOnGit/restructure/changeConfig/pca_tfidf_i_textAndPOS_combineFeatures.py | pca_tfidf_i_textAndPOS_combineFeatures.py | py | 7,041 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
396427451 | import numpy as np
from sklearn.metrics import confusion_matrix, roc_curve
from sklearn.metrics import recall_score, roc_auc_score
from sklearn.metrics import precision_recall_curve, average_precision_score
from sklearn.preprocessing import StandardScaler
import argparse
import IPython
import _pickle as pickle
from in... | null | scripts/thresholds/get_thresholds.py | get_thresholds.py | py | 3,445 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
424857536 | """Minimal settings needed for tests."""
import os
path_to_repo = os.path.dirname((os.path.dirname(os.path.abspath(__file__))))
def pytest_configure():
from django.conf import settings
settings.configure(
DEBUG=True,
DATABASES={'default': {'ENGINE': 'django.db.backends.sqlite3',
... | null | tests/conftest.py | conftest.py | py | 892 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.config... |
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