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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
265836602 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import http.client
import json
import os
from socket import AF_INET6, SOCK_DGRAM, socket
from urllib import parse
import dns.resolver # pip3 install dnspython -i https://pypi.tuna.tsinghua.edu.cn/simple
LOGIN_TOKEN = "13490,6b5976c68aba5b14a0558b77c17c3932"
DOMAIN = "dn... | null | ddns-dnspod-win.py | ddns-dnspod-win.py | py | 7,574 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET6",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "socket.SOCK_DGRAM",
"... |
10808552 | from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from math import factorial
def binomial(n, k):
""" Calculates the binomial coefficient (n over k). """
return factorial(n) / (factorial(k) * factorial(n-k))
def calc_odds(num_dice, win_with):
""" Computes the probabilities for killing an... | null | main.py | main.py | py | 3,133 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.factorial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kivy.uix.boxlayout.BoxLayout",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "kivy.app.App",
"line_number": 92,
"usage_type": "name"
}
] |
646453220 | # /bin/env python3
# coding: utf-8
import sys
import stanza
# stanza.download("no")
# stanza.download("nn")
lang = sys.argv[1] # State the segmenter model (no or nn)
nlp = stanza.Pipeline(lang, processors="tokenize")
stack = []
for line in sys.stdin:
doc = nlp(line.strip())
for sentence in doc.sentences:... | null | preprocessing/segmenter2.py | segmenter2.py | py | 389 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "stanza.Pipeline",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 16,
"usage_type": "attribute"
}
] |
341047647 | '''
For this script to work, you must have your application default credentials
set up in the Google Cloud utility (in terminal). Then, just run 'python ImageDownloader.py'.
'''
from google.cloud import storage
import os
import subprocess
def main():
client = storage.Client()
bucket = client.get_bucket('blobs... | null | ImageDownloader.py | ImageDownloader.py | py | 1,769 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "google.cloud.storage.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.pa... |
194940278 | """
Ax_Metrics - MQEngine metrics query running engine
------------------------------------------------------------------------------
Author: Dan Kamins <dos at axonchisel dot net>
Copyright (c) 2014 Dan Kamins, AxonChisel.net
"""
# ----------------------------------------------------------------------------
impor... | null | py/axonchisel/metrics/run/mqengine/mqengine.py | mqengine.py | py | 8,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "axonchisel.metrics.foundation.ax.obj.AxObj",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "axonchisel.metrics.foundation.metricdef.metset.MetSet",
"line_number": 59,
"... |
503952528 | '''
@Description: Python提供的sum()函数可以接受一个list并求和，请编写一个prod()函数，可以接受一个list并利用reduce()求积：
@Author: ouyhlan
@Date: 2019-07-31 18:13:00
'''
# -*- coding: utf-8 -*-
from functools import reduce
def prod(L):
def mul(x, y):
return x * y
return reduce(mul, L)
print('3 * 5 * 7 * 9 =', prod([3, 5, 7, 9]))
if pr... | null | Practice/list_sum.py | list_sum.py | py | 474 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.reduce",
"line_number": 13,
"usage_type": "call"
}
] |
463973215 | #!/usr/bin/python
# Python 2 and 3, print compatibility
from __future__ import print_function
import docopt
import random
import subprocess
"""
List of things which this enhanced adb tool does
* adbe rotate [left|right]
* adbe gfx [on|off]
* adbe overdraw [on|off]
* adbe layout [on|off]
* adbe destroy-activities-in... | null | adbe.py | adbe.py | py | 21,365 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "docopt.docopt",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 401,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 412,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
... |
75033270 | """ Policies Module
Contains the definition of the cadCAD system's policies.
Policies are typically broken down into `{{policy_name}}_all()` and `{{policy_name}}()` functions,
where the `_all()` is the actual "policy" function passed into the PSUBs, and the other is a helper
function.
The helper function typically co... | null | dai_cadcad/policies.py | policies.py | py | 19,811 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dai_cadcad.pymaker.numeric.Wad",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "dai_cadcad.pymaker.numeric.Wad.from_number",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "dai_cadcad.pymaker.numeric.Wad",
"line_number": 42,
"usage_type... |
178408610 | from bs4 import BeautifulSoup
import requests
class Crawler:
url = ''
found_urls = []
found_imgs = []
ignored = 0
def get_url(self) -> str:
return self.url
def set_url(self, url):
self.url = url
return self
def get_found_urls(self) -> list:
return self.fo... | null | old/crawler.py | crawler.py | py | 1,131 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
257911415 | # -*- coding: utf-8 -*-
"""
Created on Sun Feb 16 16:59:47 2020
@author: Conor
"""
from CrankNicolsonNeumann import crank_nicolson_neu
import CrankNicolsonDirichlet as cnd
import matplotlib.pyplot as plt
import numpy as np
import UsefulFunctions as uf
""" Set-up """
# Step sizes
x_start = 0
x_stop = 50
#xN = 300
#tN... | null | will/CNNmoderror.py | CNNmoderror.py | py | 3,220 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number"... |
15733208 | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | null | conf.py | conf.py | py | 8,649 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygments.formatters.latex.LatexFormatter",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "sphinx.highlighting.PygmentsBridge.latex_formatter",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "sphinx.highlighting.PygmentsBridge",
"line_n... |
207445993 | # 主业务逻辑处理路由和视图的定义
# 导入蓝图程序，用于构建路由
import datetime
import os
import re
from sqlalchemy import text
from . import main
# 导入db，用于操作数据库
from app import db
# 导入实体类，用于操作数据库
from ..models import *
from flask import render_template, make_response
from flask import request
from flask import redirect
from flask import session
... | null | app/main/views.py | views.py | py | 13,296 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.text",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
645479752 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
plt.rcParams['font.sans-serif'] = ['SimHei'] # 步骤一（替换sans-serif字体）
plt.rcParams['axes.unicode_minus'] = False # 步骤二（解决坐标轴负数的负号显示问题）
log = print
class PointBrowser:
"""
选中点并且使其高亮 -- 按键‘a’查看前一个点， ‘d’查看后一个点
"""
def... | null | Matplotlib_With_PYQT/封装toolbar功能/demo_line_point.py | demo_line_point.py | py | 9,760 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"ap... |
389197491 | """
Python code for z3checkins product.
# This module could be split into three: timeutils.py, message.py and views.py
# but it is small enough IMHO.
$Id: message.py,v 1.40 2004/05/14 19:56:05 gintautasm Exp $
"""
import re
import email
import email.Utils
import mailbox
import time
from StringIO import StringIO
from... | null | Zope3/branches/jim-default-traversal/src/z3checkins/message.py | message.py | py | 26,118 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.tzinfo",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "time.localtime"... |
436367680 | #coding=utf8
'''
Created on 2019年5月15日
@author: 82114
'''
import torch as t
class Evaluation():
def __init__(self,net,pr):
print ("Evaluate....")
dataiter = iter(pr.testloader)
images, labels = dataiter.next() # 一个batch返回4张图片
print('实际的label: ', labels)
#s... | null | evaluation/evaluation.py | evaluation.py | py | 1,288 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.max",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 36,
"usage_type": "call"
}
] |
78658253 | #!/usr/bin/python
#from shutil import copyfile
import os
import cups
from PIL import Image
import time
import logging
import subprocess as sub
#preset = "4zu6"
preset = "streifen"
#preset = "test"
IMG1 = "./fotos/IMG1.jpg"
IMG2 = "./fotos/IMG2.jpg"
IMG3 = "./fotos/IMG3.jpg"
#CurrentWorkingDir= os.getcwd() + "/f... | null | print.py | print.py | py | 3,523 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cups.Connection",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cups.setUser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_n... |
372776679 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
# Djando import
from django.test import TestCase
# Django-rest-framework import
from rest_framework import status
from rest_framework.test import APITestCase
# Service app import
from service.models import User
class UserTestsCreate(APITestCase):
... | null | service/tests.py | tests.py | py | 1,455 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "service.models.User.objects.count",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "service.models.User.objects",
"line_number": 17,
"usage_type": "attribu... |
192193999 | # -*- coding: utf-8 -*-
"""
Created on Thu May 2 21:55:58 2019
@author: 53445
import sys
import codecs
sys.stdout = codecs.getwriter("utf-8")(sys.stdout.detach())
"""
import sqlite3
import networkx as nx
import matplotlib.pyplot as plt
from scipy.sparse import csc_matrix
import numpy as np
import pand... | null | gcn_doc/data_process.py | data_process.py | py | 22,620 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
43430505 | import cv2
from Common.utils import *
# def print_matInfo(name, image):
# if image.dtype == 'uint8': # 데이터타입 확인
# mat_type = "CV_8U"
# elif image.dtype == 'int8':
# mat_type = "CV_8S"
# elif image.dtype == 'uint16':
# mat_type = "CV_16U"
# elif image.dtype == 'int16':
# ... | null | openCV/4.윈도우 제어/12.read_image1.py | 12.read_image1.py | py | 1,692 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
... |
190082800 | import pygame
from time import sleep
import copy
import game_environment
import DQN2
from sys import exit
class GameRendering:
def __init__(self, game, agent, Config):
pygame.init()
pygame.font.init()
self.side_length = 100
self.game = copy.deepcopy(game)
self.don... | null | rendering.py | rendering.py | py | 4,708 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"li... |
391910566 | import io
import socket
import struct
from PIL import Image
import shutil
import math
import numpy as np
import cv2 as cv
from scipy import stats
from skimage.metrics import _structural_similarity as ssim
from ImageCopyPaste import frameCopy
#funciton used to write frames to file
def write_bytesio_to_file(filename, ... | null | ServerReplayAttack.py | ServerReplayAttack.py | py | 3,129 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skimage.metrics._structural_similarity.structural_similarity",
"line_number": 30,
"usage_type": "call"
},
{
... |
394785633 | from django.urls import path, re_path
from .views import *
app_name = 'user'
urlpatterns = [
path('', home_view, name='home'),
path('login/', login_view, name='login'),
path('ogretmenekle/', ogretmen_ekle_view, name='ogretmenEkle'),
path('logout/', logout_view, name='logout'),
]
| null | User/urls.py | urls.py | py | 299 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
552130015 | # coding=utf-8
from socket import *
from multiprocessing import Process
import time
import binascii
def hexStr_to_str(hex_str):
return hex_str
def main():
tcpSocket = socket(AF_INET, SOCK_STREAM)
# 重复使用绑定信息,不必等待2MSL时间
tcpSocket.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
address = ('', 8001)
tcpS... | null | tcp4.py | tcp4.py | py | 1,092 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 25,
"usage_type": "call"
}
] |
58419549 | from mark import MarkType
from range import Range
import re
from utils import isprintable
MINIMUM_STRING_LENGTH = 3
def stringify(trace_info):
def get_string(marks, start_index, end_index):
return "".join([chr(mark.value) for mark in marks[start_index : end_index]])
def create_string_name(i, s):
cleaned_... | null | da65trace/da65tracelib/stringifier.py | stringifier.py | py | 1,127 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mark.value",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.isprintable",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mark.value",
"line_numbe... |
283215412 | from __future__ import print_function
import sys
from itertools import count
SCHEMA = {}
def update_schema(list_of_fields):
global SCHEMA
SCHEMA = {kv[0]: index for kv, index in zip(list_of_fields, count())}
def get_name_value(part):
name, _, value = part.partition('=')
return name, value
de... | null | tsv/use_lists_and_schema.py | use_lists_and_schema.py | py | 1,066 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.count",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "itertools.count",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_... |
220828968 | from flask import Flask,jsonify
from flask_restful import Api, Resource, reqparse
from PIL import Image
import io
import base64
import cv2
from nid_ocr import extract_and_update_csv
import pymssql
import subprocess
import threading
app = Flask(__name__)
api = Api(app)
def thread_job():
subprocess.run(['sh','spli... | null | nocr_app/app.py | app.py | py | 2,945 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",... |
218213729 | import boto3
from io import StringIO
DESTINATION = 'prospectparkmodel'
def _write_dataframe_to_csv_on_s3(dataframe, filename):
""" Write a dataframe to a CSV on S3 """
print("Writing {} records to {}".format(len(dataframe), filename))
# Create buffer
csv_buffer = StringIO()
# Write dataframe to bu... | null | model/write_to_s3.py | write_to_s3.py | py | 602 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.StringIO",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 14,
"usage_type": "call"
}
] |
593683498 | import os.path
import time
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.alert import Alert
# ControlWebsite
# 웹 컨트롤을 위한 클래스
#
# exec_flow_list(Array)
# 배열 순차적으로 실행
#
# exec_row(Dictionary)
# Dictionary 자료형으로 한번 실행
#
# base_controller(ev... | null | Python/ControlWebsite.py | ControlWebsite.py | py | 4,250 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.path.expanduser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.... |
315470619 | import sys
import torch
from torch._C import _add_docstr, _special # type: ignore
from torch._torch_docs import common_args # type: ignore
Tensor = torch.Tensor
entr = _add_docstr(_special.special_entr,
r"""
entr(input, *, out=None) -> Tensor
Computes the entropy on :attr:`input` (as defined bel... | null | torch/special/__init__.py | __init__.py | py | 3,511 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.Tensor",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch._C._add_docstr",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch._C._special.special_entr",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name"... |
485599101 | # -*- coding: utf-8 -*-
import requests
import unittest
root = 'https://api.fundusd.com/v2/'
test_root = 'http://test.fundusd.com/v2/'
class TestInfo(unittest.TestCase):
def myinfo(self, headers):
r = requests.get(test_root + 'users/my', headers = headers)
return r
def test_myinfo(self):
headers = {'Auth... | null | fundusd/myinfo.py | myinfo.py | py | 669 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
}
] |
379200793 | import random
import timeit
import time
import configparser
import os
from classfiles.Lighting import *
class FishTankLightingControl():
CreatureList = []
DayCount = 100000
AirTemperature = 75
RunTimer = 0
FoodTimer = 0
SexTimer = 0
def __init__(self):
print('EcoSim started on', t... | null | main.py | main.py | py | 8,260 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.strftime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser"... |
578113094 | from multiprocessing import Process, Pool,Lock
import time
def f(i):
print('hello word %s' %i)
time.sleep(1)
return i
def callback(data): #回执，相当于 子进程执行完毕后。告诉主进程. 这里callback还可以干很多事，因为这里设置的是把结果都返回给这里了。。所以可以把结果写入日志中
print('exec done---->',data)
if __name__ == '__main__':
lock =Lock()
poo... | null | untitled1/dream/day-10/进程池.py | 进程池.py | py | 807 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Lock",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 14,
"usage_type": "call"
}
] |
618273602 | from pwn import *
import sf
import sys
target = process("./chall-test_LocalLibcId-03-x86")
gdb.attach(target, execute="get_libc_puts_address")
bof_payload = sf.BufferOverflow(arch=32)
bof_payload.set_input_start(0x3e)
rop_chain = [134513472, b'0000', 134520852]
bof_payload.add_rop_chain(rop_chain)
payload = bof_pay... | null | 07_LocalLibcId-unit-tests/03_32/remenissions-work/binded-in-chains.py | binded-in-chains.py | py | 1,935 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sf.BufferOverflow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 37,
"usage_type": "call"
}
] |
404322554 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""":Mod: test_data_table
:Synopsis:
:Author:
servilla
:Created:
9/27/15
"""
__author__ = 'servilla'
from tests import config # This is effectively "from __init__ import config"
import logging
logger = logging.getLogger('tests.test_file_hash')
logger.setLeve... | null | src/tests/test_data_table.py | test_data_table.py | py | 1,750 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "tests.con... |
567138076 | import csv
import time
import numpy as np
from sklearn.preprocessing import LabelBinarizer
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import LinearSVC
import pandas as pd
class ... | null | app3.py | app3.py | py | 4,242 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
602774711 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
#----------------------------------------------------------------------
# xoutil.tests.test_functools
#----------------------------------------------------------------------
# Copyright (c) 2015 Merchise and Contributors
# Copyright (c) 2013, 2014 Merchise Autrement and C... | null | tests/test_functools.py | test_functools.py | py | 3,503 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xoutil.functools.lru_cache",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "da... |
138626704 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from random import randint
from .forms import SummarizerForm
import requests
import sys
import json
from django.utils.encoding import smart_unicode
import urllib
from string import maketrans
import re
from django.shortcuts import render, HttpResponse, red... | null | apps/nlp_app/views.py | views.py | py | 2,596 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "forms.SummarizerForm",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "re.sub",
... |
84607816 | import pandas as pd
from django.contrib.auth.models import User
from django.core.cache import cache
from django.core.validators import MinValueValidator
from django.db import models
from common.constants import DATA_SOURCES, DATA_SOURCE_INTERNAL
from locations.models import Location
from reporters.models import Report... | null | br/models.py | models.py | py | 5,846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unicefng.querysets.SearchableLocationQuerySet",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.db.models.Manager.from_queryset",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.db.models.Manager",
"line_number": 17,
"usage... |
98666513 | import sqlite3
import argparse
import datetime
import itertools
class Tracker():
def __init__(self, name, group_by_category):
self.db_conn = sqlite3.connect(name)
self.db_conn.row_factory = sqlite3.Row
self.cursor = self.db_conn.cursor()
self.cursor.execute('CREATE TABLE IF NOT EXI... | null | main.py | main.py | py | 4,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
125407893 | from unittest import mock
from unittest.mock import patch
import requests
from myapp import models
test_payloads = {
"security_event": [{"sqreen_payload_type": "security_event", "date_occurred": "2018-10-10T08:32:25.169232+00:00"}],
"unknown": [{"sqreen_payload_type": "unknown"}]
}
def test_check_signature... | null | tests/functional/test_main.py | test_main.py | py | 2,991 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "myapp.models.LogTargetBackend",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "myapp.models",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "unittest.mock.patch.object",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": ... |
646560278 | # Copyright 2018-2022 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or... | null | tests/ops/op_math/test_sprod.py | test_sprod.py | py | 26,134 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pennylane.Barrier",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pennylane.WireCut",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pennylane.Identity",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": ... |
618050045 | import os
import time
import openpyxl
import urllib.request
import pytesseract as tess
from PIL import Image
from tqdm import tqdm
from colorama import Fore
from colorama import Style
from openpyxl import workbook
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriv... | null | rgpv.py | rgpv.py | py | 7,108 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.ui.Select",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "selenium.co... |
470381208 | import numpy as np
import numpy.linalg.linalg as la
import matplotlib.pyplot as plt
import pickle
fst = lambda x: x[0]
snd = lambda x: x[1]
distance = lambda p1, p2: la.norm(p1 - p2)
neighborhoodPath = lambda r, paths, pnt: [path for path in paths if distance(path[0], pnt) < r]
matchPaths = lambda r, scatter, paths... | null | PathHelper.py | PathHelper.py | py | 3,859 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linalg.linalg.norm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.linalg",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.array_equal",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.ar... |
445013523 | # Query the database
from flask import request, jsonify, render_template, Blueprint
from database import property_ref, search_database
search_query = Blueprint('search', __name__)
@search_query.route("/search")
def search():
data = request.args
city = data["city"].capitalize()
zipcode = data["zipcode"].c... | null | search_query.py | search_query.py | py | 2,558 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "database.propert... |
561652849 | import configparser
import requests
import os.path
import os
import time
import json
import click
import IPython.display
from itertools import islice
import urllib.parse
import pandas as pd
from .auth import do_global_login, get_connection, refresh_login
from .utils import *
from .walkup import *
from .dsl_grammar im... | null | dimcli/core/api.py | api.py | py | 19,200 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "auth.get_connection",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "auth.refresh_login",
... |
44529481 | import http.server
import socketserver
import os
current_dir = os.path.dirname(__file__)
project_dir = os.path.join(current_dir, 'export', '0.2.0', 'web')
os.chdir(project_dir)
PORT = 8000
handler = http.server.SimpleHTTPRequestHandler
http_daemon = socketserver.TCPServer(('', PORT), handler)
print('Go to: http://lo... | null | serve-html.py | serve-html.py | py | 371 | python | en | code | null | code-starcoder2 | 76 | [
{
"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.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
255094974 | #!usr/bin/env python
#-*- coding:utf-8 -*-
import requests
import jsonpath,json
import time,pprint
import csv
class Maoyan():
def __init__(self):
self.headers = {
'User-Agent': 'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)',
'Referer': 'http://m.maoyan.com... | null | spider/ArticleSpider/App/maoyan.py | maoyan.py | py | 1,946 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jsonpath.jsonpath",
"line_numb... |
180763329 | #encoding:utf-8
# Create your views here.
#Importar modelos de la aplicacion
from captura.models import *
from captura.forms import *
#Modulos de Django
from django.core.mail import *
from email.mime.image import MIMEImage
from django.contrib import auth
from django.contrib.humanize.templatetags.humanize import *
fr... | null | captura/views.py | views.py | py | 6,784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Q",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "django.utils.html.strip_tags",
"line_number": 70,
"usage_type": "call"
},
... |
341636346 | from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
import numpy as np
def get_percents(protein):
''' according the protein to calculate the percentes: '''
aa20 = ('A', 'R', 'N', 'D', 'C', 'Q', 'E', 'G', 'H', 'I',
'L', 'K', 'M', 'F', 'P', 'S', 'T',... | null | exp7/Amino_acid_classifier.py | Amino_acid_classifier.py | py | 4,401 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.GaussianNB",
... |
156377366 | import pygame.font
class Informaciones():
""" Muestra informacion en pantalla marcadores p.e"""
def __init__(self,configuracion,pantalla,marcador):
self.pantalla=pantalla
self.pantalla_rect=pantalla.get_rect() #rectangulo de pantalla
self.configuracion=configuracion
self.marcador=marcador
self.vidas= co... | null | informaciones.py | informaciones.py | py | 1,989 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.font.font.SysFont",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.font.font",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.font",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pygame.fon... |
545063963 | #coding: utf-8
from flask import Flask, render_template, request
import aiml
import os
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
kernel = aiml.Kernel()
if os.path.isfile("bot_brain.brn"):
kernel.bootstrap(brainFile = "bot_brain.brn")
else:
kernel.bootstrap(learnFiles = "std-startup.xml", command... | null | main.py | main.py | py | 1,089 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "aiml.Kernel",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
582317586 | import protobuf.addressbook_pb2 as addressbook_pb2
def ListPeople(address_book):
for person in address_book.people:
print("Person ID:", person.id)
print(" Name:", person.name)
print(" E-mail address:", person.email)
for phone_number in person.phones:
if phone_number.type == addressbook_pb2.... | null | addressbook_test_reading.py | addressbook_test_reading.py | py | 882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "protobuf.addressbook_pb2.Person",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "protobuf.addressbook_pb2",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "protobuf.addressbook_pb2.Person",
"line_number": 13,
"usage_type": "attribu... |
517946631 | #importing the libraries for multi linear regression
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pylab as plt2
import seaborn as sns
#importing tbe file
startups=pd.read_csv("E://excelr data//assignments//multi linear regression//50_Startups.csv")
startups.shape
s... | null | startup.py | startup.py | py | 1,592 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seaborn.pairplot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "statsmodels.formula.api.ols",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "statsmode... |
470412847 | '''
Created on Oct 17, 2018
@author: xuwang
'''
import csv
import argparse
import pandas
ap = argparse.ArgumentParser()
ap.add_argument("-s", "--srcFile", required=True,
help="source file")
#==============
ap.add_argument("-i", "--plotInfo", required=True,
help="plot file")
#==============
arg... | null | PyPlotExtraction/src/linkPlotInfo.py | linkPlotInfo.py | py | 700 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
}
] |
246158318 | from django.urls import path
from . import views
urlpatterns = [
path('', views.record_list.as_view(), name='record_list'),
path('record/detail/<pk>', views.record_detail.as_view(), name='record_detail'),
path('record/update/<pk>', views.record_update.as_view(), name='record_update'),
path('record/dele... | null | Billing/urls.py | urls.py | py | 800 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
536203215 | # coding=utf-8
from django.conf.urls import url
from users import views
urlpatterns = [
url(r'^login/$', views.login_page, name='login_page'),
url(r'^login/submit/$', views.login, name='login'),
url(r'^register/$', views.register_page, name='register_page'),
url(r'^register/submit/$', views.register... | null | users/urls/account_urls.py | account_urls.py | py | 394 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "users.views.login_page",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "users.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf... |
593673825 | import sys,pyperclip,shelve,os
if len(sys.argv)!=2:
print("Enter the command in the form: python prg command")
sys.exit()
command=sys.argv[1]
os.chdir("A:\\")
shel_file=shelve.open('Multiclip')
counter=0 #an alternative an simpler method is to not use this variable
if len(list(shel_file.keys()))==0:
... | null | Python/Industrial Training Files/prog_19_shelve_pyper.py | prog_19_shelve_pyper.py | py | 1,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 6,
... |
214525515 | #-*-coding:utf-8-*-
from __future__ import print_function
import curses
from pick import Picker
def go_back(picker):
return (None, -1)
title = 'Please choose your favorite NBA trio: '
options = [
'Bill Russell\nBob Cousy\nJohn Havlicek',
'Magic Johnson\nKareem Abdul Jabbar\nJames Worthy',
'Larry Bir... | null | example/multiline_options.py | multiline_options.py | py | 683 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pick.Picker",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "curses.KEY_LEFT",
"line_number": 22,
"usage_type": "attribute"
}
] |
348300179 | #!/usr/bin/python
"""
Starter code for the evaluation mini-project.
Start by copying your trained/tested POI identifier from
that which you built in the validation mini-project.
This is the second step toward building your POI identifier!
Start by loading/formatting the data...
"""
import pickl... | null | evaluation/evaluate_poi_identifier.py | evaluate_poi_identifier.py | py | 1,263 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "feature_format.featureForma... |
250107920 | from django.core.urlresolvers import reverse
from django.http import HttpResponsePermanentRedirect
try:
from django.conf.urls import patterns, include, url
except ImportError:
from django.conf.urls.defaults import patterns, include, url
from timepiece import views
urlpatterns = patterns('',
# Redirect t... | null | timepiece/urls.py | urls.py | py | 6,195 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.defaults.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponsePermanentRedirect",
"line_number": 14,
"usage_ty... |
60402380 | from sklearn import datasets
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
loaded_data = datasets.load_boston()
data_X = loaded_data.data
data_y = loaded_data.target
model = LinearRegression()
model.fit(data_X, data_y)
# print(model.predict(data_X[:4]))
# print(data_y[:4])
print... | null | scikit_learn/ex3.py | ex3.py | py | 605 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 10,
"usage_type": "call"
}
] |
222057583 | import urllib2
import base64
import json
class DomoticzClient:
def __init__(self, logger):
self.base = "https://domoticz.totalize.nl/json.htm?username=a3IwbnQ0Ygo=&password=c2lsOEhlZWQK"
#self.on_off_cmd = self.base + "&type=command¶m=switchlight&idx=%s&switchcmd=%s"
self.logger = log... | null | bin/Domoticz/Domoticz.py | Domoticz.py | py | 2,709 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"li... |
125730964 | import sys
import parmed as pmd
import simtk.openmm as mm
import simtk.openmm.app as app
import simtk.unit as u
import scripts.omm_scripts.omm_rwmd as omm_rwmd
#######################
### Random Walk Molecular Dynamics OpenMM script for use with the CHARMM force field
### Note: the use of parmed to generate the mm.St... | null | mccabe_group/scripts/omm_scripts/run_rwmd.py | run_rwmd.py | py | 3,276 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "simtk.unit.kelvin",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "simtk.unit",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "simtk.unit.bar",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "simtk.unit",
... |
500619165 | import pandas as pd
import datetime as dt
from sklearn import linear_model
import numpy as np
import math
import statsmodels.api as sm
from scipy.optimize import curve_fit
from sklearn.linear_model import LinearRegression
from EnergyIntensityIndicators.pull_eia_api import GetEIAData
from EnergyIntensityIndicators.weat... | null | EnergyIntensityIndicators/commercial.py | commercial.py | py | 39,761 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "EnergyIntensityIndicators.LMDI.CalculateLMDI",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "EnergyIntensityIndicators.pull_eia_api.GetEIAData",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 112,
"us... |
338449239 |
import flask
import requests
blueprint = flask.Blueprint('gitlab', __name__)
DOMAIN = 'https://gitlab.com/api/v4'
PROJECTS_URL = DOMAIN + '/projects?owned=true&private_token=1prFvNtqT6HhbXEz34QA'
@blueprint.route('/gitlab', methods=[ 'GET' ])
def get_gitlab():
context = {
'page': 'gitlab',
... | null | blueprints/gitlab.py | gitlab.py | py | 1,174 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "requests.get... |
27494708 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import random
from sklearn.metrics import confusion_matrix
data = pd.read_csv("Financial Distress.csv")
data.describe()
data.drop('x80', inplace=True,axis=1) #We'll take care of it later
final_test=data[3172:]
data=data[:3172]
Y =... | null | ThirdModel.py | ThirdModel.py | py | 4,560 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
450406114 | import pytest
import re
import boto
from boto.vpc import VPCConnection
from boto.ec2.connection import EC2Connection
from boto.ec2.instance import Instance
from boto.ec2.blockdevicemapping import BlockDeviceMapping, BlockDeviceType
from pytest import fixture, raises
from mock import MagicMock, call
from paws.ec2 impor... | null | tests/ec2_test.py | ec2_test.py | py | 10,660 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto.ec2",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "mock.MagicMock",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "boto.vpc",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "mock.MagicMock",
"line... |
62903581 | from typing import List
import pandas as pd
from newsapi import NewsApiClient
from pymongo import MongoClient
from pymongo.collection import Collection
from pymongo.database import Database
from textblob import TextBlob
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from config import NEWSAPI_K... | null | data/scrape/news.py | news.py | py | 1,235 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "newsapi.NewsApiClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.NEWSAPI_KEY",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.List... |
183685017 | # coding=utf-8
import re
import os
from bs4 import BeautifulSoup
import requests
import time
import pymysql
import datetime
import urllib.request
def crawler(n):
session=requests.session()
main_url="http://www.qiushibaike.com/imgrank/page/%s"%n
req=session.get(main_url,headers=headers)
start_html=req... | null | qiushibaike/qiushibaikeCrawler.py | qiushibaikeCrawler.py | py | 1,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlretrieve",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": ... |
342812247 | """add name column on datasets table
Revision ID: cbf947ca88d7
Revises: c0aea6931214
Create Date: 2019-10-17 00:15:11.304818
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'cbf947ca88d7'
down_revision = 'c0aea6931214'
branch_labels = None
depends_on = None
d... | null | alembic/versions/cbf947ca88d7_add_name_column_on_datasets_table.py | cbf947ca88d7_add_name_column_on_datasets_table.py | py | 680 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
391788358 | from django.contrib import admin
from .models import Users, Watermeter, Fees
class UsersAdmin(admin.ModelAdmin):
list_display = ('u_name', 'u_address', 'created_at')
list_filter = ['created_at']
search_fields = ['u_name', 'u_phone']
list_per_page = 10
#date_hierarchy = 'created_at'
class FeesAdmin... | null | household/admin.py | admin.py | py | 922 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 11,
"usage_type": "attribute"
... |
173954174 | # Alexa Liaskovski
# fortunes taken from here: http://www.fortunecookiemessage.com/archive.php
# ------------------------------------------------------------------------------
#
# IMPORTS
#
#-------------------------------------------------------------------------------
import json
import logging
from ask_sdk_core.sk... | null | lambda_function.py | lambda_function.py | py | 11,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "ask_sdk_core.dispatch_components.AbstractRequestHandler",
"line_number": 67,
"usage_type": "name"
}... |
213254102 | import sklearn
import json
import re
import numpy as np
from sklearn import svm
from sklearn.neighbors import KNeighborsClassifier
from sklearn.ensemble import RandomForestClassifier,BaggingClassifier
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Drop... | null | testModelMorph.py | testModelMorph.py | py | 4,291 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.search",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 32,
... |
450952902 | from django.conf.urls import url, include
from rest_framework import routers
from . import views
router = routers.DefaultRouter()
router.register(r'products', views.ProductViewSet, base_name='products')
router.register(r'categories', views.CategoriesViewSet, base_name='categories')
router.register(r'product-detail',... | null | django_start/django_start/apps/product/urls.py | urls.py | py | 498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"ap... |
533107888 | # coding=utf8
"""
zhiz.views.settings
~~~~~~~~~~~~~~~~~~~
routes:
settings
GET, `/settings`, display settings
update_settings
POST, `/settings/update`, update settings
"""
from flask import render_template, request, redirect, url_for
from zhiz import app
from zhiz.models im... | null | zhiz/views/settings.py | settings.py | py | 1,337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zhiz.models.Blog.getone",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "zhiz.models.Blog",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "zhiz.models.Blog.fields",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "zhiz... |
396868997 | import sys
import time
from datetime import datetime, timedelta
from queue import Queue
from PyQt5.QtWidgets import QApplication
from pandas import DataFrame
from skogkatt.api.kiwoom.broker import KiwoomBroker
from skogkatt.api.kiwoom.constants import CHART_TR_TIME_INTERVAL
from skogkatt.api.trader import Trader
from... | null | api/kiwoom/collector.py | collector.py | py | 9,744 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "skogkatt.core.LoggerFactory.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "skogkatt.core.LoggerFactory",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "name"
},
{
... |
211461950 | import tensorflow as tf
import numpy as np
import math
import scipy.io as sio
import optunity as opt
def get_weight(shape, lambda1):
var = tf.Variable(tf.random_normal(shape), dtype=tf.float32)
tf.add_to_collection('losses', tf.contrib.layers.l2_regularizer(lambda1)(var))
return var
def add_layer(input,in_size,... | null | LAmbDA_functions5FF1.py | LAmbDA_functions5FF1.py | py | 16,456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.Variable",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.random_normal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "ten... |
90882692 | import numpy as np
import dlib
import sys
face_detector = dlib.get_frontal_face_detector()
"""
shape_predictor_68_face_landmarks.dat is trained on the ibug 300-W dataset and gives back 68 face landmarks
dlib_face_recognition_resnet_model_v1.dat is a pre learned dataset of about 3 million faces.
The mode... | null | libs/FacialRecognitionData.py | FacialRecognitionData.py | py | 4,988 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dlib.shape_predictor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dlib.face_recognition_model_v1",
"line_number": 19,
"usage_type": "call"
},
{
... |
330918009 | # Copyright The Lightning AI team.
#
# 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 wri... | null | tests/tests_fabric/strategies/test_strategy.py | test_strategy.py | py | 5,869 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lightning.fabric.strategies.SingleDeviceStrategy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "unittest.mock.patch",
"line_number": 30,
"usage_type": "call"
},
... |
103863564 | # -*- coding: utf-8 -*-
"""
3D, Isotropic, 1st Order MKS
Noah Paulson, 7/25/2014
"""
import time
import numpy as np
import functions_small as rr
from functools import partial
## el is the # of elements per side of the cube
el = 21
## the number of sample microstructures for calibration and validation.
ns = 3
## ... | null | pre_publish/main_serial_small.py | main_serial_small.py | py | 2,384 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.strftime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "functions_small.gen_micr",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "functions_small.mf",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.time",... |
590925448 | # -*- coding: utf-8 -*-
import os
from typing import Tuple, Union, Optional
from pathlib import Path
import numpy as np
import pandas as pd
from PIL import Image
from sklearn.svm import SVR
from scipy.sparse import spdiags, issparse, csr_matrix
from scipy.sparse.linalg import norm
from scanpy import logging as logg
f... | null | tests/_helpers.py | _helpers.py | py | 12,353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.min",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.flip",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number": 3... |
233578905 | import cv2
import threading
opencvDatapath = "/home/comx-admin/my360camera/FlaskApp/opencvdata/haarcascades/"
class RecordingThread (threading.Thread):
def __init__(self, name, camera):
threading.Thread.__init__(self)
self.name = name
self.isRunning = True
self.cap = camera
... | null | my360cam/FlaskApp/camera.py | camera.py | py | 5,207 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv... |
325877354 | import warnings
import numpy as np
import pandas as pd
from sklearn.metrics.cluster import normalized_mutual_info_score
import woodwork as ww
import woodwork.serialize as serialize
from woodwork.datacolumn import DataColumn
from woodwork.exceptions import ColumnNameMismatchWarning
from woodwork.indexers import _iLocI... | null | woodwork/datatable.py | datatable.py | py | 59,009 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "woodwork.utils.import_or_none",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "woodwork.utils.import_or_none",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 135,
"usage_type": "attribute"
},
{
... |
33341794 | #_*_ coding:utf-8 _*_
import json
class ServerConfig:
def __init__(self, path):
json_text = self.read_file(path)
config = json.loads(json_text)
self.ip = config['IP']
self.port = config['PORT']
self.max_link = config['MAX_LINK']
def read_file(self, path):
json_t... | null | SlothServer/ServerConfig.py | ServerConfig.py | py | 468 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
}
] |
311511790 | from __future__ import division
ipy = False
try:
ipy = __IPYTHON__
except NameError:
pass
import numpy as np
import matplotlib
if not ipy:
matplotlib.use('Qt4Agg')
matplotlib.rcParams.update({"figure.autolayout": "true"})
try:
matplotlib.rcParams.update({"usetex": "true"})
except KeyErr... | null | colornet_scripts/plot_S_color_scaling.py | plot_S_color_scaling.py | py | 2,232 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams.update",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "ma... |
411287767 | import threading
import time
import os.path
import io
import urllib
import json
import csv
import datetime
from time import localtime, strftime, strptime
now = datetime.datetime.now().strftime("%Y%m%d%H") # current day
def main():
print("### STARTING... ###")
checkCoin('https://api.bithumb.com/public... | null | time-thread-api.py | time-thread-api.py | py | 1,630 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "threading.Timer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.... |
104782531 | # coding: utf-8
from django.db import models
from datetime import datetime
from django.utils.translation import ugettext as _
from django.db.models.signals import post_save, pre_delete
from courses.models import Course
from groups.models import Group
from django.db.models import Q, Max
from django.contrib.auth.mode... | null | anytask/tasks/models.py | models.py | py | 14,494 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
251259465 | # Adapted from:
# https://github.com/ansible/ansible/blob/devel/lib/ansible/plugins/callback/profile_tasks.rst
# (C) 2016 Matt Young <halcyondude@gmail.com>
# (C) 2015, Tom Paine, <github@aioue.net>
# (C) 2014, Jharrod LaFon, @JharrodLaFon
# (C) 2012-2013, Michael DeHaan, <michael.dehaan@gmail.com>
#
# This file is fr... | null | tests/pip/plugins/callback/profile_tasks/profile_tasks.py | profile_tasks.py | py | 5,179 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 71,
... |
61643125 | # -*- coding: utf-8 -*-
__author__ = 'Administrator'
from django.shortcuts import HttpResponse
from django.shortcuts import HttpResponseRedirect
from django.shortcuts import render_to_response
import admininfo
import account
from app.common import validator
from app.facade import factory
from app.common import func
fro... | null | app/views/admin/personhistory.py | personhistory.py | py | 2,034 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.facade.factory.CreateDepartmentTypeFacade",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.facade.factory",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "app.common.func.get_int_param_from_get",
"line_number": 24,
"usage_type"... |
415908706 | from unicon.statemachine import Path, State, StateMachine
from unicon.plugins.generic.statements import default_statement_list
from unicon.plugins.asa import statements, patterns
from unicon.eal.dialogs import Dialog
class ASAStateMachine(StateMachine):
def create(self):
p = patterns.ASAPatterns()
... | null | src/unicon/plugins/asa/ASAv/statemachine.py | statemachine.py | py | 1,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unicon.statemachine.StateMachine",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "unicon.plugins.asa.patterns.ASAPatterns",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "unicon.plugins.asa.patterns",
"line_number": 11,
"usage_type": "n... |
460421225 | import torch
import torch.nn as nn
import torch.nn.functional as F
import modeling.deeplab
from modeling.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d
from modeling.aspp import build_aspp
from modeling.decoder import build_decoder
from modeling.backbone import build_backbone
class EEVOS(nn.Module):
de... | null | modeling/eevos.py | eevos.py | py | 4,093 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
132578745 | #!usr/bin/python3
"""
more.py - Message Buffer Interface
Author - mandarj
"""
import sqlite3
from tools import break_up, calling_module, DatabaseCursor, db_path, max_message_length
def setup(self):
self.more_db = db_path(self, 'more')
connection = sqlite3.connect(self.more_db)
cursor = connection.cursor(... | null | modules/more.py | more.py | py | 4,406 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tools.db_path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tools.max_message_length",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "tools.break_up... |
156246881 | import numpy as np
import binary_search as bs
import matplotlib.pyplot as plt
class LinearSpline:
def __init__(self):
self.tX = []
self.dirty = False
def add_entry(self, t, x):
self.tX.append([t, x])
self.dirty = True
def interpolate(self, t):
if(self.dirty):
... | null | interpolation.py | interpolation.py | py | 4,017 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "binary_search.search",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"lin... |
594134916 | import matplotlib as mpl
mpl.rcParams['text.usetex'] = True
mpl.rcParams['font.family'] = 'serif'
mpl.rcParams['font.serif'] = 'cm'
mpl.rcParams['font.size'] = '22'
import matplotlib.pyplot as plt
import glob
import os
years = range(2006,2015)
number_of_photos = []
for year in years:
photos = []
filename... | null | count_photos.py | count_photos.py | py | 1,377 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name"... |
99692555 | from threading import Thread, Semaphore, BoundedSemaphore, Lock
from time import sleep
from random import choice
import sys
from queue import Queue
import json
import signal
from .argument_parse import argparser
from .utils import get_next_time
from .message import MessageQueue
from .conf import BARBER_LIST
from .Barb... | null | barbershop/index.py | index.py | py | 1,968 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argument_parse.argparser.parse_args",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argument_parse.argparser",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "threading.BoundedSemaphore",
"line_number": 18,
"usage_type": "call"
},
... |
293246455 | from flask import Blueprint, request, jsonify
import logic.file as file_logic
import logic.embedding_model as emb_model_logic
from models import EmbeddingModel, db, File, ModelWordVector
embedding_model_bp = Blueprint('embedding-model', __name__)
@embedding_model_bp.route("/", methods=["GET"])
def get_all():
m... | null | SentimentWebApi/controllers/embedding_model.py | embedding_model.py | py | 2,695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.db.session.query",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.EmbeddingModel",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "mode... |
378045208 | import pandas,math,numpy, time
from bokeh.layouts import gridplot, row, column
from bokeh.io import output_file, show
from bokeh.plotting import figure
start = time.time()
SData = pandas.read_excel('../../Final Data/Sensor Data.xlsx')
MData = pandas.read_excel('../../Final Data/Meteorological Interpolated.xlsx')
Fac... | null | code_and_data/PersonalFiles/Hidde/functions/plotter.py | plotter.py | py | 7,677 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"lin... |
327717391 | def openTrainedModel(modelPath="../models/dummy.txt"):
try:
f = open(modelPath,"rb")
return f
# Do something with the file
except IOError:
print("The {} not accessible".format(modelPath));
return None
def retFileName(pathToFile="../data/dummy.csv"):
parsed = pathToF... | null | DistrictSchoolPerformancePrediction/spring 2021/thinkSmart_SWE_CSCE606_2021_Spring-20210503T230755Z-001/thinkSmart_SWE_CSCE606_2021_Spring/source_code0.01/src/learn.py | learn.py | py | 3,516 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
53654544 | from __future__ import print_function
import sys
import os
import math
import random
import numpy as np
import progressbar
import gym
from sklearn.datasets import fetch_mldata
# Import helper functions
from mlfromscratch.utils.data_manipulation import to_categorical
from mlfromscratch.utils.optimizers import Adam
fro... | null | mlfromscratch/reinforcement_learning/deep_q_learning.py | deep_q_learning.py | py | 5,812 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
... |
173654681 |
import numpy as np
from keras import backend as K
from keras.layers.normalization import BatchNormalization
from keras.models import Model
from keras.layers import Input, Flatten, Dense, Lambda, Concatenate
from keras.layers import Convolution2D, Activation, MaxPooling2D
from keras.optimizers import Adam, Adadelta, S... | null | common/custom_vgg_bn.py | custom_vgg_bn.py | py | 5,171 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.backend.image_data_format",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "keras.layers.Concatenate",
"line_number": 50,
"usage_type": "call"
},
{
"api_name":... |
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