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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
357630622 | #!/usr/bin/env python3
# This file is part of the Soletta Project
#
# Copyright (C) 2015 Intel Corporation. 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 ... | null | data/scripts/suite.py | suite.py | py | 5,657 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "queue.Empty",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "subprocess.STDOUT",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "subpr... |
245297219 | import sys
import os, os.path
from pyquery import PyQuery as pq
import re
import importlib
# I hope I won't modify this, I don't understand anything
class Tequilla(object):
templates = {}
# folder :str - path to templates folder
# compiled :str - path to compiled templates folder, where python functions... | null | tequilla/__init__.py | __init__.py | py | 5,595 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 2... |
18993892 | from django.shortcuts import render
from extra.models import *
from django.contrib.auth.models import *
from django.shortcuts import render, render_to_response, HttpResponseRedirect
from django.template import RequestContext, loader
from django.http import HttpResponse
from datetime import *
from extra.forms import Use... | null | practice/views.py | views.py | py | 35,743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.HttpResponseRedirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 29,
"usage... |
351909107 | #!/usr/bin/env python
# coding: utf-8
# print("hello world!")
# In[2]:
import numpy as np
# In[3]:
import pandas as pd
# ## California Housing Prices
# In[4]:
import os
import tarfile
from six.moves import urllib
# In[5]:
DOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml/master/"
HO... | null | Housing...py | Housing...py | py | 22,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
152722217 | import pika
#创立连接
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
#建立通道
channel = connection.channel()
#声明queue
#事实上，如果生产者运行并创建了队列，此处可以不用声明，但是有可能消费者先运行，
#下面的basic_consume久会因为没有队列而报错
channel.queue_declare(queue='HELLO')
def callback(ch,method,properties,body):
print('[x] received %r'%bo... | null | rabbitMQ/simple_consumer.py | simple_consumer.py | py | 666 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 3,
"usage_type": "call"
}
] |
589944311 | """check.py:
Check saved reminders for any the need to be sent.
This is the file that cron runs automatically and shouldn't need
to be called manually. When a reminder's time has passed it will be
sent via Twilio and reminders.json updated with the reminder removed.
If there are no more reminders left the cron job i... | null | check.py | check.py | py | 1,807 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "crontab.CronTab",
"... |
232081648 | import math
import sys
import pygame
import tensorflow as tf
import random
import numpy as np
#this file contains classes for a game, for a map, and for a player
#Fun fact: walls are actually very thin rectangles in order to make collision detection easy
#The game instance should handle most interaction with maps and... | null | SimpleGame.py | SimpleGame.py | py | 7,729 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.time.Clock",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
... |
17368364 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app_manager', '0002_auto_20161120_0732'),
]
operations = [
migrations.AlterField(
model_name='app',
... | null | cartoview/app_manager/migrations/0003_auto_20161123_1134.py | 0003_auto_20161123_1134.py | py | 462 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
193301609 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import matplotlib.pyplot as plt
# In[5]:
rev_m = 170
rev_stdev = 20
iterations = 1000
# In[6]:
rev = np.random.normal(rev_m,rev_stdev,iterations)
rev
# In[7]:
plt.figure(figsize=(15,6))
plt.plot(rev)
plt.show()
# In[8]:
COGS = - (rev*n... | null | LucBrutoMontCarlo.py | LucBrutoMontCarlo.py | py | 918 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.normal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplo... |
560793136 | import re
import logging
class element_has_css_class(object):
"""An expectation for checking that an element has a particular css class.
locator - used to find the element
returns the WebElement once it has the particular css class
"""
def __init__(self, locator, css_class):
self.log = l... | null | tests/frontend/custom_expected_conditions.py | custom_expected_conditions.py | py | 2,816 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.compile",
... |
264149225 | #!/usr/bin/env
# -*- coding: utf-8 -*-
# filename = protected
# author=KGerring
# date = 10/1/17
""" filename = startups.integrations.protected"""
from __future__ import absolute_import, unicode_literals
from pathlib import Path
import os
import sys
import regex
import re
import base64
import rsa
from operator import ... | null | startups/integrations/protected.py | protected.py | py | 12,207 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "regex.compile",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "regex.M",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "regex.UNICODE",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "startups.integrations.b... |
221878273 | import pandas as pd
import numpy as np
import pytest
from sklearn.base import clone
from sklearn.pipeline import Pipeline
from sklearn.model_selection import GridSearchCV
from sklearn.linear_model import LogisticRegression
from pandas_transformers.transformers import PandasOneHotEncoder, PandasTfidfVectorizer
class ... | null | tests/pandas_transformers/test_transformers.py | test_transformers.py | py | 11,264 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pytest.fixture"... |
447605442 | # -*- coding: utf-8 -*-
'''
encoding: utf-8
Author : tom_tao626@163.com >
Datetime : 2019/9/12 0:03
User : Administrator
Product : PyCharm
Project : chatroom_project
File : views_playchat.py
'''
import tornado.web
class PlayChatHandler(tornado.web.RequestHandler):
def get(self, *args, **kwargs):
dat... | null | py_tools/subprocess/async_demo/test/views_playchat.py | views_playchat.py | py | 419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tornado.web.web",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 13,
"usage_type": "name"
}
] |
247217485 | import matplotlib.pyplot as plt
import math
import random
class City:
list = []
count = -1
def __init__(self, coords=None):
if coords is None:
coords = City.newCoords()
self.x = coords[0]
self.y = coords[1]
@staticmethod
def newCoords(amp=None, theta=None):
... | null | genetic algorithm/travelling-salesman-oop.py | travelling-salesman-oop.py | py | 6,691 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number... |
58362724 | from pyspark.sql import SparkSession
from pyspark.sql.functions import *
if __name__ == "__main__":
print("Application Started ...")
spark = SparkSession \
.builder \
.appName("Socket Streaming Demo") \
.master("local[*]") \
.getOrCreate()
stream_df = spark... | null | part2/socket_streaming/socket_streaming_word_count_trigger_demo.py | socket_streaming_word_count_trigger_demo.py | py | 1,017 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 7,
"usage_type": "... |
423267845 | import os
from django.http import HttpResponse, Http404
from django.shortcuts import render
# Create your views here.
from ecommerce.settings import BASE_DIR
from products.models import Product, ProductImage
def index(request):
template = 'products/index.html'
products = Product.objects.all()
context =... | null | products/views.py | views.py | py | 2,145 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "products.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "products.models.Product.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "products.models.Product.objects",
"line_number": 13,
"usage_type": "attribute"
},
... |
202164781 | import telegram as tel
from telegram.ext import (Updater,
ConversationHandler,
CommandHandler,
MessageHandler,
Filters)
import Commands as Com
import DayCalc
import one_day as OD
users = {}
messages = {
'gender... | null | DaySurvey.py | DaySurvey.py | py | 10,789 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "telegram.Bot",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "telegram.Update",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "DayCalc.MALE",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "DayCalc.FEMA... |
249371949 | #!/usr/bin/python
from myconfig import myconfig
from Dir_Info_GAIL import trpo
import critic
from environment import environment
from sklearn.utils import shuffle
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import argparse
from statistics import mean
import pandas as pd
from tensorflow.pyth... | null | Diplwmatikh projects/AircraftTrajectories_D_Info_GAIL/Dir_Info_GAIL/NOA/3modes/preprocess.py | preprocess.py | py | 36,542 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.test.gpu_device_name",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.test",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.test.gpu_device_name",
"line_number": 22,
"usage_type": "call"
},
{
... |
581637831 | # -*- encoding: utf-8 -*-
import platform
import logging
__author__ = 'barycenter'
VERSION = '1.0.0'
try:
from logging import NullHandler
except ImportError:
class NullHandler(logging.Handler):
def emit(self, record):
pass
UserAgent = "aliyun-opensearch-python-sdk /%s /%s %s/%s" % (
... | null | opensearchsdk/__init__.py | __init__.py | py | 838 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Handler",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "platform.python_version",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "platform... |
105582242 | from flask import Flask, request
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////home/yarka/Documents/PycharmProjects/books/example19.db'
db = SQLAlchemy(app)
from models import *
db.create_all()
@app.route("/books")
def books():
books = Books.... | null | app.py | app.py | py | 924 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.re... |
628891431 | from PyQt4 import QtGui, Qt, QtCore
from TestDialog.TestDialog import Ui_Form
from scipy.stats import norm, laplace, expon
from tests import ktest, chisquare, ttest
import numpy as np
from scipy import stats
import pandas as pd
from tests import ktest, chisquare, ttest, K
class TestDialog(Ui_Form):
def currentInde... | null | TestDialog/__init__.py | __init__.py | py | 6,278 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "TestDialog.TestDialog.Ui_Form",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.mean",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"... |
542403343 | # Copyright (c) 2014 Hewlett-Packard Development Company, L.P.
#
# 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 applica... | null | searchlight-2.0.0/searchlight/tests/functional/test_api.py | test_api.py | py | 45,774 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "oslo_utils.uuidutils.generate_uuid",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "oslo_utils.uuidutils",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "oslo_utils.uuidutils.generate_uuid",
"line_number": 29,
"usage_type": "call"
},... |
176972895 | import os
import re
import io
import sys
import subprocess
import branch
import json
import requests
branchFileList = {}
users_list = {
"zyh_bug_master" : "sy0209"
,"hzf_master" : "sy0097"
,"zyh_master" : "sy0209"
,"xja_master" : "sy0729"
,"zln_master" : "sy0671"
,"cq_master" : "sy0238"
,"s... | null | GitMerge/gitcmd.py | gitcmd.py | py | 4,408 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.Popen",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "subprocess.PIPE",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.system"... |
595377003 | from kawaiibot import config
from kawaiibot.bot import kawaiibot
from imgurpython import ImgurClient
import logging
import random
sub_blacklist = ['traps']
try:
imgur_client = ImgurClient(config['imgur']['id'], config['imgur']['secret'])
except KeyError as e:
logging.error('Missing imgur[{}] in configuration ... | null | kawaiibot/commands/imgur.py | imgur.py | py | 1,430 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "imgurpython.ImgurClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "kawaiibot.config",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.choice"... |
102197737 | import torch
import os
import logging
import datetime
import numpy as np
import torch
from tqdm import tqdm
from typing import Any, Dict, List, Tuple, Union
class Record(object):
def __init__(self, percentage=False):
super().__init__()
self.value = 0.
self.num = 0.
self.percentage =... | null | utils/worker.py | worker.py | py | 8,202 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.zeros",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 96... |
363752629 | #!/usr/bin/python
import argparse
import simplejson
from hackbeil.hgutils import progressui
ui = progressui()
parser = argparse.ArgumentParser()
parser.add_argument('svndir')
parser.add_argument('dump', type=argparse.FileType('w'))
options = parser.parse_args()
items = []
import subvertpy.ra
from hackbeil.branchrep... | null | bin/svn_log_to_jsonreplay.py | svn_log_to_jsonreplay.py | py | 1,690 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hackbeil.hgutils.progressui",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ha... |
458293450 | # Copyright (c) 2020 PaddlePaddle Authors. 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 appli... | null | test/legacy_test/parallel_dygraph_unused_variables.py | parallel_dygraph_unused_variables.py | py | 4,558 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "paddle.nn.Layer",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "paddle.nn.Embedding",
... |
177768773 | import datetime
DOW = {
'Monday': 0,
'Tuesday': 1,
'Wednesday': 2,
'Thursday': 3,
'Friday': 4,
'Saturday': 5,
'Sunday': 6,
}
STRATEGY = {
'1st': 1,
'2nd': 8,
'3rd': 13,
'4th': 22,
'5th': 29,
'teenth': 13,
}
def meetup_day(year, month, dow, specification):
if sp... | null | python/meetup/meetup.py | meetup.py | py | 929 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
21012866 | from django.http import HttpResponse
from django.shortcuts import render_to_response
from django.shortcuts import render
from django.core.context_processors import csrf
from django.template import RequestContext
from recruitments import forms,models
from django.forms.models import model_to_dict
from django.contrib.auth... | null | recruitments/views.py | views.py | py | 2,687 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "recruitments.forms.FillResumeForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "recruitments.forms",
"line_number": 17,
"usage_type": "name"
},
{
"api_... |
605000175 | import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" # see issue #152
os.environ["CUDA_VISIBLE_DEVICES"] = ""
os.environ['PYTHONHASHSEED'] = '0'
import sys
import numpy as np
import pandas
import math
import tensorflow as tf
import random
import matplotlib.pylab as plt
#import talib
seed = [4395,3129,277,9871,51... | null | mlp_variacoes.py | mlp_variacoes.py | py | 9,060 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
... |
89904375 | __author__ = 'MatthewRowe'
import sqlite3
from src.Classes.Classes import *
class DatabaseModel:
dbName = "encyclopedia.db"
def __init__(self):
self.conn = sqlite3.connect(self.dbName, timeout=10)
self.conn.text_factory = str
self.cursor = self.conn.cursor()
def setupTables(self... | null | src/Database/DatabaseModel.py | DatabaseModel.py | py | 4,960 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
}
] |
31541511 | import os
import pytest
from .utils import upgrade_charms, upgrade_snaps
from .validation import validate_all
from .base import UseModel
test_charm_channel = os.environ.get('TEST_CHARM_CHANNEL', 'edge')
test_snap_channel = os.environ.get('TEST_SNAP_CHANNEL')
@pytest.mark.asyncio
async def test_validate(log_dir):
... | null | jobs/integration/test_cdk.py | test_cdk.py | py | 757 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
473687849 | from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
import xgboost as xgb
from sklearn.metrics import classification_report
import json
import pandas as pd
from collections import Counter
from sklearn.externals import joblib
from sklearn.svm import SVC
import sys
from... | null | risk/model_limit/model/creat_model/get_final_model/get_tradmodel.py | get_tradmodel.py | py | 3,067 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sklearn.ensemble.RandomFor... |
547546292 | import numpy as np
import pandas as pd
from recommender.similarity_recommender.combinedSimilarity import CombinedSimilarity
from recommender.recommenderABC import RecommenderABC
import os.path
#preprocessing and training logic is described in notebooks/2_similarity_recommender.ipynb
class SimilarityRecommender(Recomme... | null | app/recommender/similarity_recommender/similarityRecommender.py | similarityRecommender.py | py | 3,279 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "recommender.recommenderABC.RecommenderABC",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "recommender.similarity_recommender.combinedSimilarity.CombinedSimilarity",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.path.dirname",
"lin... |
62698634 | from pprint import pprint
from eveapimongo import MongoProvider
from pymongo.errors import BulkWriteError
POS_DAY_FEE = 2000000
def lambda_handler(event, context):
message = event['Records'][0]['Sns']['Message']
print("SNS Message: " + message)
if message == "deposits-built":
BalanceJournalBuild... | null | functions/balanceJournalBuilder/balanceJournalBuilder.py | balanceJournalBuilder.py | py | 4,256 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eveapimongo.MongoProvider",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pymongo.errors.BulkWriteError",
"line_number": 127,
"usage_type": "name"
},
{
"api_name": "pprint.pprint",
"line_number": 128,
"usage_type": "call"
}
] |
254001894 | # -*- coding:utf-8 -*-
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "Lice... | null | demo.py | demo.py | py | 8,012 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ops.date_str_to_timestamp",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "ops.d.get_gap_time",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "ops.d",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "collections.Counte... |
546296543 | import gym
env = gym.make('LunarLanderContinuous-v2')
env.reset()
for _ in range(1000):
env.render()
s, r, done, info = env.step(env.action_space.sample()) # take a random
if done == True:
break
import gym
env = gym.make('LunarLanderContinuous-v2')
env.reset()
import numpy as np
a = np.array([0,... | null | lib/tmp/test_lander_continuous.py | test_lander_continuous.py | py | 476 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
}
] |
296010664 | """more testing (mostly minimax)"""
# save a copy of the game
# - so if we try to test different moves, doesn't affect the actual game
# collect all the moves in the next move
# - need to create an empty dictionary of moves
# - calculate the scores of each move
# calculating the score
# - if player m... | null | a2/a2stuff/anothertest.py | anothertest.py | py | 2,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Union",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "stonehenge_game.StonehengeGame",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "subtract_square_game.SubtractSquareGame",
"line_number": 25,
"usage_type": "name"
},
{
... |
571990817 | import subprocess
import os
import time
from datetime import datetime
import schedule
import atexit
import signal
import sys
import shlex
import argparse
# perf-attack path
ROOT = '/home/arnet/perf-attack/'
# Data collection tools
DIR_PERF_TOOLS = ROOT + 'perf-tools/bin'
DIR_LOGS = ROOT + 'logs'
IOSTAT = "iostat -d ... | null | src/logger.py | logger.py | py | 9,448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
68438718 | import mongoExtensionsAST as mongo
import difflib
import logging
import sys
def specialLCS(X, Y, hid1, hid2, nameBoth1, nameBoth2):
# log = logging.StreamHandler(sys.stdout)
# log.setLevel(logging.DEBUG)
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
# logging.basicConfig(level=logging.DEBU... | null | src/app/my_function.py | my_function.py | py | 6,497 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
... |
551364571 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /Users/Dani/Documents/Projects/Golismero_2.0/src_github/plugins/testing/scan/openvas.py
# Compiled at: 2014-01-13 19:15:58
__license__ = '\nGoLismero 2.0 - The w... | null | pycfiles/golismero-2.0.3-1.tar/openvas.py | openvas.py | py | 16,090 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.path.split",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.path.abspath",
... |
140831315 | import argparse, glob, os, cv2, sys, pickle
import numpy as np
import tensorflow as tf
from models.stgru import STGRU
from models.flownet2 import Flownet2
from tensorflow.python.framework import ops
from constants import *
import segmentation_models as sm
from grfp_utils import *
from collections import OrderedDict
b... | null | smooth_test.py | smooth_test.py | py | 5,214 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.load_op_library",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.framework.ops.RegisterGradient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.framework.ops",
"line_number": 14,
"usage_t... |
61313267 | from __future__ import absolute_import
import sys
import time
from graphql.execution.base import ResolveInfo
from dagster import check
from dagster.core.definitions.schedule import ScheduleExecutionContext
from dagster.core.errors import ScheduleExecutionError, user_code_error_boundary
from dagster.core.scheduler im... | null | python_modules/dagster-graphql/dagster_graphql/implementation/execution/scheduled_execution.py | scheduled_execution.py | py | 3,590 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dagster.check.inst_param",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "graphql.execution.base.ResolveInfo",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "dagster.check",
"line_number": 24,
"usage_type": "name"
},
{
"api... |
191252307 | import sqlite3
conn=sqlite3.connect('database1.db')
# conn.execute("create table emp_det\
# ( emp_id int primary key,\
# emp_name varchar(50) not null,\
# emp_no int not null,\
# emp_add varchar(100) not null,\
# emp_dob varchar(50),\
# emp_email varchar(50),\
# emp_password varchar(50)\
# )\
# ")
# conn.... | null | emp_det.py | emp_det.py | py | 750 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
315422079 | #!/usr/bin/env python3
import os
import time
import psycopg2
from psycopg2.extras import NamedTupleCursor
DBNAME = os.environ.get('DBNAME', 'nc')
DBHOST = os.environ.get('DBHOST', None)
DBUSER = os.environ.get('DBUSER', 'postgres')
DBPARAMS = {'dbname': DBNAME, 'user': DBUSER}
if DBHOST is not None:
DBPARAMS['h... | null | examples/eta.py | eta.py | py | 1,029 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
266889975 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime, timezone, timedelta
from pathlib import Path
import warnings
import pandas as pd
from covsirphy.util.argument import find_args
from covsirphy.util.error import deprecate, DBLockedError, NotDBLockedError, UnExpectedValueError
from covsirphy.ut... | null | covsirphy/loading/dataloader.py | dataloader.py | py | 28,618 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "covsirphy.util.term.Term",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "pandas.DataFra... |
639447701 | from filterpy.kalman import KalmanFilter
import numpy as np
from filterpy.common import Q_discrete_white_noise
import matplotlib.pyplot as plt
from kf_book.book_plots import plot_measurements
from kf_book.book_plots import plot_filter
from scipy.linalg import block_diag
dt = 1.0
R = 3
kf = KalmanFilter(dim_x... | null | Kalman_test2.py | Kalman_test2.py | py | 729 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "filterpy.kalman.KalmanFilter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "filterpy.common.Q_discrete_white_noise",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"a... |
51837754 | #Nancy Cao & Shariar Kabir
#HW 6 - All about that database
#Period 9
import sqlite3 #enable control of an sqlite database
import csv #facilitates CSV I/O
f="discobandit.db"
db = sqlite3.connect(f) #open if f exists, otherwise create
c = db.cursor() #facilitate db ops
#====================================... | null | db_builder.py | db_builder.py | py | 1,212 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 32,
"usage_type": "call"
}
] |
527156955 | from __future__ import division, absolute_import
__copyright__ = "Copyright (C) 2013 Andreas Kloeckner"
__license__ = """
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, incl... | null | pytential/symbolic/execution.py | execution.py | py | 16,462 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymbolic.mapper.evaluator.EvaluationMapper",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "pymbolic.mapper.evaluator.EvaluationMapper.__init__",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pymbolic.mapper.evaluator.EvaluationMapper",
"... |
274750159 | from fast import *
from model import *
from extra_utils import *
from engine import train_one_epoch, evaluate
import utils
if __name__ == '__main__':
train_files_dir = 'WIDER_train/images'
train_annotate_dir = 'WIDER_train_annotations'
valid_files_dir = 'WIDER_val/images'
valid_annotate_dir... | null | train.py | train.py | py | 2,596 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.collate_fn",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "utils.collate_fn",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "model.to",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "model.parameters... |
264884342 | import pytest
from kibitzr.app import Application
from ..compat import mock
from ..helpers import SettingsMock
@pytest.fixture(scope="function")
def settings(request):
"""Override native settings singleton with empty one"""
instance = SettingsMock.instance()
request.addfinalizer(SettingsMock.dispose)
... | null | tests/unit/test_app.py | test_app.py | py | 2,006 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "helpers.SettingsMock.instance",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "helpers.SettingsMock",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "helpers.SettingsMock.dispose",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
428418104 | #!/usr/bin/python
#
# Copyright (C) 2011 Mirantis Inc.
#
# Authors: Vladimir Kozhukalov <vkozhukalov@mirantis.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of t... | null | deployment/puppet/cobbler/templates/scripts/late_command.py | late_command.py | py | 3,051 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cStringIO.StringIO",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "gzip.GzipFile",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 62,
"usage_type": "call"
}
] |
145209923 | import pygame
import froggerlib
class Frogger:
def __init__( self, width, height ,size):
self.mSize = size
self.mWidth = width
self.mHeight = height
self.mReducedSize = 0.8 * size
column = self.mWidth / self.mSize
row = self.mHeight / self.mSize
... | null | Frogger/frogger.py | frogger.py | py | 11,461 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "froggerlib.Frog",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "froggerlib.Stage",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "froggerlib.Stage",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "froggerlib.Road",
... |
543695437 | """
Auxiliary functions
"""
import os
import json
import joblib
import numpy as np
from itertools import permutations
from numba import njit, prange
from tqdm import tqdm
from subprocess import Popen, PIPE
from datetime import datetime
import warnings
warnings.filterwarnings("ignore")
def get_actual_parametrizat... | null | scripts/functions.py | functions.py | py | 5,412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_n... |
84416303 | #!/usr/bin/env python2.7
# Import the Client from ambf_client package
from ambf_client import Client
import time
import math
import rospy
import tf
import numpy as np
#import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('TkAgg')
from matplotlib import pyplot as plt
import numpy as np
from numpy import asar... | null | ambf_ros_modules/ambf_comm/scripts/tests_ambf/01NewCode/DATA_test_plots/test_sin/plots_new_rb_bp.py | plots_new_rb_bp.py | py | 5,895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_... |
379117741 | from setuptools import setup
from os.path import join, dirname
requirements = [
'jsonpickle==0.7.1',
'requests==2.11.1',
'Jinja2==2.9.6',
'requests-unixsocket==0.1.5'
]
version = open(join(dirname(__file__), 'version')).read().strip()
setup(
name='syncloud-lib',
version=version,
install_r... | null | pypi_install_script/syncloud-lib-176.tar/setup.py | setup.py | py | 742 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 13,
"usage_type": "call"
}
] |
125000163 | from src import utils
from MCFS import MCFS
from datetime import datetime
import time
def main():
data_set_list = ['MNIST', 'lung_small', 'warpPIE10P', 'Yale', 'digits']
n_clusters_list = [10, 7, 10, 15, 10]
meth = ['MCFS-I']
for i in range(len(data_set_list)):
print('dataset: {}'.format(da... | null | src/test_neighbor.py | test_neighbor.py | py | 2,193 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "src.utils.read_data",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "src.utils",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.strftime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"lin... |
547416255 | '''
MARS Blender Tools - a Blender Add-On to work with MARS robot models
File mtmaterials.py
Created on 7 Jan 2014
@author: Kai von Szadkowski
Copy this add-on to your Blender add-on folder and activate it
in your preferences to gain instant (virtual) world domination.
You may use the provided install shell script.... | null | scripts/blender/marstools/mtmaterials.py | mtmaterials.py | py | 2,465 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bpy.data.materials.new",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bpy.data",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "bpy.data.materials.keys",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bpy.data... |
611944158 | import torch
from torch import nn
import torch.nn.functional as F
import torchvision
import clip
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Encoder(nn.Module):
"""
Encoder.
"""
def __init__(self, encoded_image_size=14):
super(Encoder, self).__init__()
... | null | models.py | models.py | py | 13,705 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
286576945 | # -*- coding: utf-8 -*-
from tasks import db
from sqlalchemy.dialects.postgresql import JSON
class GooglePlace(db.Model):
__tablename__ = 'googleplace'
id = db.Column(db.Integer, primary_key = True)
place_id = db.Column(db.String())
data = db.Column(JSON)
def __init__(self, place_id, data):
self.place... | null | models.py | models.py | py | 518 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tasks.db.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tasks.db",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tasks.db.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tasks.db",
"line_number... |
213099133 | #-*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import time, ipdb, re
import nltk
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
# Set up a browser to crawl from dynamic web pages
from selenium import webdriver
from selenium.webdri... | null | Conference_keyWord.py | Conference_keyWord.py | py | 7,454 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.download",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sel... |
148260665 | n = int(input())
grid = [list(map(int,input().split())) for i in range(n)]
from collections import deque
def LR(L, d):
# -1 R, 1 L
new = []
Q = deque()
for row in L:
for i in filter(None, row[::d]): Q.append(i)
newrow = []
while Q:
i = Q.popleft()
if Q an... | null | Algorithm and Data Structure/Baekjoon/12000번대/12100번대/12100번 2048(easy)/boj12100_jh05013.py | boj12100_jh05013.py | py | 796 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
143101893 | import torch
from torch import nn
from torch import functional as F
from .gated_graph_conv import GatedGraphConv
class GGCN(nn.Module):
def __init__(self,
decoder,
vocabulary,
num_agg_steps,
node_type_embed_dim = 10,
... | null | src/models/tgeometric/ggcn.py | ggcn.py | py | 4,398 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
510806276 | #!/usr/bin/env python
import os
import sys
import bootstrap3
from setuptools import setup
VERSION = bootstrap3.__version__
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst") as history_file:
history = history_file.read().replace(".. :changelog:", "")
setup(
... | null | setup.py | setup.py | py | 1,358 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bootstrap3.__version__",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 19,
"usage_type": "call"
}
] |
652314778 | from django.forms import ModelForm
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
from .models import *
class StaffForm(ModelForm):
class Meta:
model = Staff
fields = '__all__'
exclude = ['user', 'employee_role', 'emp... | null | forms.py | forms.py | py | 997 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "... |
635477265 | # !/usr/bin/env python
# coding:utf-8
import os
import json
class FetchRealLevel():
def __init__(self):
self.allow_db_list = ["oncokb", "civic", "cgi"]
self.func_list = ["self.check_oncokb", "self.check_civic", "self.check_cgi"]
def level(self, db_name, level, origin_descr, base_descr):
... | null | report_doc/get_real_level.py | get_real_level.py | py | 3,544 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isfile",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 84,
"usage_type": "call"
}
] |
270357830 | import time
from bot_res import csv_beautifier, bot_c, msg_handler
from configparser import ConfigParser
bot = bot_c.telegram_chatbot("cfg/token_config.cfg")
# init Strings from cfg file
cfgParser = ConfigParser()
cfgParser.read('cfg/b_bot_strings.cfg')
tableName = cfgParser.get('tableManager', 'readTable')
sleepDa... | null | bot_res/printer.py | printer.py | py | 615 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bot_res.bot_c.telegram_chatbot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bot_res.bot_c",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "t... |
100649682 | import nltk
from nltk.corpus import stopwords
from nltk.corpus import senseval as se
from nltk. corpus import wordnet as wn
from nltk.stem import *
# Creating stemmer
stemmer = SnowballStemmer("english")
# Removing standart stopwords and your customed list
def remove_nltk_stop_words(tokens):
new_list = [i for... | null | hw.py | hw.py | py | 5,349 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.corpus.senseval.instances",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.senseval",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
107345104 | import unittest
from chain.block import Block
from transaction.transaction import CommitRandomTransaction, Type
from crypto.enc_random import enc_part_random
from Crypto.Hash import SHA256
class TestBlock(unittest.TestCase):
def test_pack_parse(self):
original_block = Block()
original_block.timest... | null | tests/block.py | block.py | py | 826 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "chain.block.Block",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Crypto.Hash.SHA256.new",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Crypto... |
495247743 | # 엔트리 포인트 -> 여기서부터 경로를 따진다.
# 1. 모듈가져오기
from flask import Flask, render_template, request, jsonify, redirect
from ml import detect_lang
# 2. flask 객체 생성
app = Flask(__name__)
# 3. 라우팅
# ~/ 요청하면 home() 함수가 응답(return)
@app.route('/')
def home():
return redirect('/kfqgo')
# restful api
# 기본 라우트는 get방식만 허용
@app.route('... | null | ml/service/run.py | run.py | py | 1,258 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
569213898 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#####################################################################
# Cada handler maneja las diferentes páginas y funcionalidades #
# de la app. #
# En la parte del final, verán que handlers se relacionan ... | null | main.py | main.py | py | 20,014 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jinja2.Environment",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.ndb.Key",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.ndb",
"line_number": 49,
"usage_type": "name"
},
{
"api_name... |
67138301 | #-------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2014 EOX IT Services GmbH
#
# Permission... | null | eoxserver/resources/coverages/management/commands/eoxs_collection_synchronize.py | eoxs_collection_synchronize.py | py | 3,618 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eoxserver.resources.coverages.management.commands.CommandOutputMixIn",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseComm... |
609551061 | from datetime import datetime
from django.shortcuts import render
from django.views import View
def main(request):
return render(request, 'main.html')
def tickets(request):
return render(request, 'tickets.html')
def hello(request):
return render(request, 'hello.html')
def concerts(req... | null | Лаба 5/MyApp/app/views.py | views.py | py | 1,424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
382776961 | import sys
import pkg_resources
def convert_onnx2tf_pb(onnx_file="chest.onnx", pb_file="chest.pb"):
for package in ["onnx","onnx_tf", "tensorflow"]:
print(pkg_resources.get_distribution(package))
import onnx, onnx.optimizer
import tensorflow as tf
import onnx_tf
# load onnx model
... | null | scripts/webdl_utils.py | webdl_utils.py | py | 2,876 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pkg_resources.get_distribution",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "onnx.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "onnx.checker.check_model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "onnx... |
100879306 | from setuptools import setup
from os.path import join
import sys
import versioneer
install_requires = ['menpo>=0.9',
'Flask>=0.10.1',
'Flask-RESTful>=0.2.12',
'CherryPy>=3.8.0',
'joblib>=0.8.4',
'PyYaml>=3.11']
if sys.... | null | setup.py | setup.py | py | 1,351 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "versioneer.get_version",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "version... |
346604560 | """coBib's Git command.
This command is a simple pass through to the `git` executable, running inside the folder of coBib's
database (i.e. it is equivalent to running `git -C <path/to/cobib/database> <whatever arguments>`).
It exists solely for convenience since the above can be cumbersome to type out and specifying a... | null | src/cobib/commands/git.py | git.py | py | 2,846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "base_command.Command",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "base_command.ArgumentParser",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "ar... |
151643561 | # Copyright 2013-2014 Massachusetts Open Cloud Contributors
#
# 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 applicab... | null | tests/unit/ext/obm/ipmi.py | ipmi.py | py | 2,547 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "haas.test_common.config_testsuite",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "haas.test_common.config_merge",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "haas.test_common.config.load_extensions",
"line_number": 34,
"usage_type"... |
164232426 | import scrapy
import json
import datetime
import pprint
class GolukSpider(scrapy.Spider):
name = "goluk"
def start_requests(self):
now = datetime.datetime.now()
formats = "%Y%m%d%H%M%S%f"
for i in range(30000):
now = now - datetime.timedelta(hours=.5)
url = 'h... | null | ruki_spider/spiders/goluk.py | goluk.py | py | 961 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "dateti... |
47673402 | #!/usr/bin/python2.7
import sys
import requests
import time
from pprint import pprint
import numpy
import sys
import pickle
import gzip
import datetime
import utility_3 as ut
import functions_financial as fn
import os
def run_optimizer(length, minutes, minutes_until_sale):
if length == '1m':
data_length_... | null | Development/utility.py | utility.py | py | 13,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utility_3.pickle_read",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "utility_3.pickle_write",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "utility_3.pick... |
565978785 | import pickle
import os
import numpy as np
import torch
import scipy.sparse as sp
import time
from utils import spmx_1_normalize, spmx2torch_sparse_tensor, spmx_sym_normalize
# PATH = '/mnt/lizechao/10218_yanzhao/datasets/baseline_lastfm'
PATH = '/home/wuwu/datasets/baseline_lastfm'
class LastfmData(object):
de... | null | SGNCF_CNN_PAIR/datasets_object/last_fm.py | last_fm.py | py | 4,934 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
130594147 | #!/usr/bin/python3
# -*- coding:utf-8 -*-
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import time
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
"""
初始化卷积核变量的初始值。
从截断的正态分布中输出随机值。生成的值服从具有指定
平均值和标准偏差的正态分布，如果生成的值大于平均值
2个标准偏差的值则丢弃重新选择。这里正太分布的标准差为0.1。
"""... | null | LeNet/LeNet3.py | LeNet3.py | py | 4,146 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.truncated_normal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorf... |
144643192 | from Button import Button
import paho.mqtt.client as mqtt
import tkinter as tk
from Paddle import Paddle
from Ball import Ball
from Label import Label
import random
from time import sleep
import json
def subscribes():
global client
#Al de topics waarop we moeten luisteren
client.subscribe("/player1/server... | null | PongUpload/ClientSide/GameConsole.py | GameConsole.py | py | 2,814 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Ball.Ball.move",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "Ball.Ball",
"line_number": 3... |
290801078 | """
Copyright 2017-2018 cgratie (https://github.com/cgratie/)
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 ag... | null | keras_retinanet/models/inception.py | inception.py | py | 4,324 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras_applications.inception_resnet_v2",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "keras_applications.inception_v3",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "keras.utils.get_file",
"line_number": 47,
"usage_type": ... |
153497464 | # Copyright (c) 2021 PaddlePaddle Authors. 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 applic... | null | PaddleAudio/test/unit_test/test_transform.py | test_transform.py | py | 5,644 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "paddle.set_device",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "utils.load_example_audio1",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "numpy.r... |
325141684 | import json
import logging
import os
import smtplib
import sys
import time
from email.header import Header
from email.mime.text import MIMEText
from email.utils import parseaddr, formataddr
from deploy.deploy import AutoDeployPlaton
from common import log
from common.load_file import get_node_list
from common.connect ... | null | monitor.py | monitor.py | py | 4,119 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "email.utils.parseaddr",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "email.utils.formataddr",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "email.header.Header",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "emai... |
347050853 | import scipy.io as sio
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout
mat_contents = sio.loadmat('g8data2.mat')
mat_data = mat_contents['signalArr']
mat_labels = mat_contents['signalLabel']
print("No. of data: {}, No. of labels: {}".format(str(mat_data.shape), str(mat... | null | ML/phone_model.py | phone_model.py | py | 1,560 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "keras.models.Sequential",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
... |
164197341 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 7 00:43:40 2019
@author: luisalonsomurillorojas
"""
import numpy as np
import json
import cv2
from skimage.segmentation import felzenszwalb
cap = cv2.VideoCapture(0)
# Capture frame-by-frame
ret, frame = cap.read()
# Get serialized data
filenam... | null | tarea02/felzenszwalb/felzenszwalb.py | felzenszwalb.py | py | 811 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "skimage.segmentation.felzenszwalb",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.imsh... |
109198683 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 1 11:47:04 2019
@author: STEM
"""
import pandas as pd
dir(pd)
import plotly
from plotly.offline import plot
dir(plotly)
import plotly.graph_objs as go
wceodf = pd.read_excel("GISdata.xlsx", sheet_name = "womenCEOs")
womenceos = go.Bar(x= wceodf["Year... | null | FinalProject.py | FinalProject.py | py | 789 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Bar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "plotly.grap... |
44913746 | import numpy as np
import math
from typing import Tuple, Optional
import pandas as pd
from .callback import Callback
from ..models.abs_model import AbsModel
from ...plotting.plot_settings import PlotSettings
import seaborn as sns
import matplotlib.pyplot as plt
__all__ = ['LRFinder']
class LRFinder(Callback):
... | null | lumin/nn/callbacks/opt_callbacks.py | opt_callbacks.py | py | 4,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "callback.Callback",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "models.abs_model.AbsMo... |
464546922 | #!/usr/bin/env python
'''
Created on Jul 24, 2012
@author: shun
'''
import subprocess
import optparse
import os
import logging
import sys
# initializing
logging.basicConfig(filename='fakeproject.log', level=logging.DEBUG,
format='%(threadName)s %(levelname)-5s %(asctime)s %(name)s %(message)s')
... | null | myserver/openstack/tools/fakeproject.py | fakeproject.py | py | 2,666 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.Stre... |
8889725 | import numpy as np
import matplotlib.pyplot as plt
import nltk
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.cluster import KMeans, DBSCAN
from sklearn.metrics import silhouette_scor... | null | Lab8_helper.py | Lab8_helper.py | py | 4,563 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.fetch_20newsgroups",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.fetch_20newsgroups",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 22,
"usage_type": "attribute"
},
{... |
247736190 | from PyQt5.QtWidgets import QWidget, QLabel, QPushButton, QGridLayout, QLineEdit, QComboBox, QFrame
from PyQt5.QtWidgets import QHBoxLayout
from PyQt5.QtGui import QFont
# 编辑用户信息
from SuperAdminisOperation import Edit_user
class Edit_user_win(QFrame):
def __init__(self,number):
super(Edit_user_win, self... | null | low7/SuperAdminisInterface/Edit_user_win.py | Edit_user_win.py | py | 5,260 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QFrame",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QFrame.StyledPanel",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets.QFrame",
"line_number": 13,
"usage_type": "name"
},
{
... |
634114355 | from config import *
import pathlib
import torch
import torch.nn as nn
import torch.nn.functional as F
FIELD_ELEMENTS = [
CELL_EMPTY,
CELL_SHEEP_1,
CELL_SHEEP_1_d,
CELL_WOLF_1,
CELL_SHEEP_2,
CELL_SHEEP_2_d,
CELL_WOLF_2,
CELL_GRASS,
CELL_RHUBARB,
CELL_FENCE,
]
FIELD_ELEMENTS_MA... | null | testing/joschwa_A3.py | joschwa_A3.py | py | 16,609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
503677122 | # -*- coding: utf-8 -*-
# © 2017-2019, ETH Zurich, Institut für Theoretische Physik
# Author: Dominik Gresch <greschd@gmx.ch>
"""
Defines the workflow that runs first-principles calculations and creates a
tight-binding model, without running the window optimization.
"""
try:
from collections import ChainMap
excep... | null | aiida_tbextraction/fp_tb.py | fp_tb.py | py | 7,838 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aiida.work.workchain.WorkChain",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "fp_run.FirstPrinciplesRunBase",
"line_number": 43,
"usage_type": "argument"
},
{
"api_name": "aiida_tools.workchain_inputs.WORKCHAIN_INPUT_KWARGS",
"line_number": 53,
... |
329290890 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mysite', '0005_auto_20160819_0940'),
]
operations = [
migrations.CreateModel(
name='Category',
field... | null | Python新手使用Django架站的16堂课-光盘内容/mshop/mysite/migrations/0006_category_product.py | 0006_category_product.py | py | 1,266 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
245741656 | from xlrd import open_workbook
import psycopg2
conn = psycopg2.connect("dbname=hack user=jaakko")
cur = conn.cursor()
book = open_workbook('inversiones.xls', on_demand=True)
for name in book.sheet_names():
sheet = book.sheet_by_name(name)
num_rows = sheet.nrows -1
curr_row = 0
while curr_row < num_rows... | null | inversiones.py | inversiones.py | py | 930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "psycopg2.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 6,
"usage_type": "call"
}
] |
577280393 | """Provides REST-API and kubeseal-cli specific functionality."""
import json
import logging
import subprocess
from flask import abort
from flask_restful import Resource
LOGGER = logging.getLogger("kubeseal-webgui")
class AppConfigEndpoint(Resource):
"""Provide REST-API for retrieving api config information."""
... | null | api/app/config.py | config.py | py | 1,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.abort",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen"... |
623615966 | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from create_db import Adjectives, Base, Positive
engine = create_engine('sqlite:///happiness.db')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
adjectives = ['kind', 'loving', 'funny', 'happy', 'affectionate', 'ambitiou... | null | db/populate_db.py | populate_db.py | py | 841 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "create_db.Base.metadata",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "create_db.Base",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sql... |
351969939 | import jmespath
import requests
from requests.auth import HTTPBasicAuth
from django.conf import settings
import json
import logging
logger = logging.getLogger(__name__)
class BibsonomyEntry:
def __init__(self, bib_hash=None, bib_entry=None, entry_attrib=None, base_set=None):
if entry_attrib is None:
... | null | apis_bibsonomy/utils.py | utils.py | py | 3,069 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTTPBasicAuth",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jmespath.se... |
601861523 | # -*- coding: utf-8 -*-
import os
import urllib
import hashlib
import datetime, time
import json
from django import forms
from django.conf import settings
from django.db import transaction
from apps.demandstory.models import DemandCase, DemandReach, DemandPublish, UserDemandLabel, DemandLabelCount, DemandReply, Demand... | null | sample/wsw/apps/demandstory/logics.py | logics.py | py | 26,737 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apps.demandstory.models.DemandCase.objects.filter",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "apps.demandstory.models.DemandCase.objects",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "apps.demandstory.models.DemandCase",
"line_... |
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