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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
467789865 | import urllib.request
import urllib.parse
import json
import re
import redis
import os
def print_format(type, text, segment=False):
print("============================================================") if segment == True else print("", end="")
print("[%s] %s" % (type, text))
print("=======================... | null | cc98-api/cc98.py | cc98.py | py | 11,552 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urllib.request.... |
507200327 | import numpy as np
np.random.seed(1337)
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Activation, Convolution2D, MaxPooling2D, Flatten
from keras.optimizers import SGD
from ker... | null | CNN-MNIST/cnn-mnist.py | cnn-mnist.py | py | 2,323 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "kera... |
337096241 | #! /usr/bin/env python
# coding=utf-8
####################################################
# Author : longbin
# Created date: 2018-04-14 21:49:05
####################################################
import random
import re
import socket
import time
import csv
import http.client
import requests
from bs4 import Bea... | null | toolkit/bin/weather/weather.py | weather.py | py | 7,216 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.choice",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "socket.timeout",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line... |
74337491 | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 17 00:15:10 2016
@author: Alexander Kuhn-Regnier
"""
from __future__ import print_function
from AMR_system import Grid,build_from_segments
import numpy as np
import matplotlib.pyplot as plt
from AMR_coaxial_cable import Cable
from matplotlib.ticker import FuncFormatter
fr... | null | coaxial_cable_different_Ns_convergence_time_jacobi_iter.py | coaxial_cable_different_Ns_convergence_time_jacobi_iter.py | py | 10,088 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.ioff",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.int64",... |
232547631 | # -*- coding: utf-8 -*-
"""Globals."""
from equipy_main.models import Software, Hardware
from settings import HW_OLD
from django.db.models import F
import datetime
def warn(request):
"""
Global warning counter.
"""
hardware = Hardware.objects.filter(purchase_date__lte = \
(datetime.datetime.now()... | null | equipy_main/globals.py | globals.py | py | 689 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "equipy_main.models.Hardware.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "equipy_main.models.Hardware.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "equipy_main.models.Hardware",
"line_number": 14,
"usa... |
466833553 |
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pickle
from PIL import Image
from sklearn.neural_network import MLPClassifier
import argparse
import torch
import torch.optim as optim
from tqdm import *
from termcolor import *
from torch.autograd import Variable
import torch.nn.f... | null | package/glcmnet.py | glcmnet.py | py | 4,076 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_nu... |
484756879 | import config
import filecmp
import io
import os.path
import pandas as pd
import pickle
import requests
import urllib.request
from pdfminer3.layout import LAParams, LTTextBox
from pdfminer3.pdfpage import PDFPage
from pdfminer3.pdfinterp import PDFResourceManager
from pdfminer3.pdfinterp import PDFPageInterpreter
from ... | null | main.py | main.py | py | 7,993 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 37,
"usage_type": "name"
},
{
"api_nam... |
519061441 | import json, linecache, os, requests, smtplib, sys, time, yaml, logging
import traceback
import pyper as pr
import sqlite3
from pyper import R
from boto.s3.connection import S3Connection
import boto3
from flask import Flask, json, jsonify, request, Response, send_from_directory
from stompest.config import StompConfig
f... | null | comets/comets.py | comets.py | py | 21,634 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
377964035 | from config import Config as cfg
from detectors import TextDetector, TextProposalDetector
from other import draw_boxes, resize_im, CaffeModel
import sys
if '/usr/local/caffe/python' in sys.path:
sys.path.remove('/usr/local/caffe/python')
sys.path.insert(0, cfg.caffe_root + 'python')
import cv2, os, caffe
import o... | null | textDetector/textRecognizer.py | textRecognizer.py | py | 4,772 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.remove",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_... |
253508324 | from unittest import TestCase
from babbage.cube import Cube
from elasticsearch import Elasticsearch, NotFoundError
from babbage_fiscal import config, loader, model_registry
from .test_common import SAMPLE_PACKAGES, NUM_RECORDS, LOCAL_ELASTICSEARCH
MODEL_NAME, SAMPLE_PACKAGE = SAMPLE_PACKAGES['md']
class RegistryTe... | null | tests/test_registry.py | test_registry.py | py | 2,505 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "test_common.SAMPLE_PACKAGES",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
32836897 | # -*- coding:utf-8 -*-
__author__ = 'lincolnfz@gmail.com'
import cv2
import numpy as np
def canny_1():
def CannyThreshold(lowThreshold):
detected_edges = cv2.GaussianBlur(gray,(3,3),0)
detected_edges = cv2.Canny(detected_edges,lowThreshold,lowThreshold*ratio,apertureSize = kernel_size)
... | null | opencv-demo.py | opencv-demo.py | py | 1,844 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.GaussianBlur",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.Canny",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.bitwise_and",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_numb... |
467381606 | from matplotlib import pyplot as plt
from adjustAndClean.StackData import StackData
from adjustAndClean.TAQAdjust import TAQAdjust
from adjustAndClean.AdjustingHashmap import AdjustingHashmap
from copy import deepcopy
"""
Program to plot differences between adjusted and non-adjusted series.
"""
def plotSeries(series1... | null | adjustAndClean/AdjustAndBefore.py | AdjustAndBefore.py | py | 2,323 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mat... |
326250419 | from . import admin
from app import db,UP_DIR
from app.models import *
from flask import render_template,flash,request,redirect,url_for,session,make_response,current_app
from werkzeug.security import generate_password_hash,check_password_hash
from functools import wraps
from app.admin.forms import AddAreaForm,LoginForm... | null | app/admin/views.py | views.py | py | 22,578 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"lin... |
627747706 | # -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# 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 | google/cloud/osconfig_v1/types/os_policy.py | os_policy.py | py | 42,509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "proto.module",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "proto.Message",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "proto.Enum",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "proto.Message",
"... |
506297061 | from PySide import QtCore, QtGui
from ProjectDetailsViewUI import Ui_ProjectDetailsView
from FluidExplorerPlugin.ui.Utils.DefaultUIValues import DefaultUIParameters
from FluidExplorerPlugin.ui.Utils.ProjectDetailsViewUtils import ProjectDetailsViewUtils
from FluidExplorerPlugin.ui.Utils.ProjectDetailsViewUtils import ... | null | Windows-Maya_2014_2016/FluidExplorerPlugin/ui/ProjectDetailsView.py | ProjectDetailsView.py | py | 31,415 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PySide.QtGui.QDialog",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "PySide.QtGui",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PySide.QtGui.QDialog.__init__",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "... |
538580907 | '''
Created on Jan 18, 2011
@author: Christopher Glass <christopher.glass@divio.ch>
'''
from django.db.models.fields import DecimalField
class CurrencyField(DecimalField):
'''
A CurrencyField is simply a subclass of DecimalField with a fixed format:
max_digits = 12 and decimal_places=2
'''
def __... | null | shop/util/fields.py | fields.py | py | 582 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.fields.DecimalField",
"line_number": 9,
"usage_type": "name"
}
] |
149986222 | from django.urls import path
from . views import *
urlpatterns = [
path("savings-ledger/", SavingLog.as_view(), name="savings-ledger"),
path("group-savings-ledger/", GroupSavingLog.as_view(), name="group-savings-ledger"),
path("memberships-ledger/", MemberRegistrationLog.as_view(), name="memberships-ledger"),
path... | null | ledger/urls.py | urls.py | py | 889 | python | en | code | null | code-starcoder2 | 83 | [
{
"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",
... |
450042268 | import app.constants as c
from flask import json
import pytest
from app.config.settings import config
from app.database.model import TableModel
from app.database.engine import Memberships
from app.services.MembershipService import MembershipsServiceModel
SITE_ID = config('SITE_ID')
JOB_SEEKER = "83fa7e00-c94b-45cc-bed... | null | tests/test_membership.py | test_membership.py | py | 3,132 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "app.config.settings.config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.database.model.TableModel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "app.database.engine.Memberships",
"line_number": 19,
"usage_type": "argument"
}... |
198372887 | import numpy as np
import funcs
import matplotlib.pyplot as plt
tMax = 300
repeats = 200
NLimit = 70
etas = np.arange(0.01,0.05,0.01)
lambdaList = []
sList = []
for eta in etas:
sigmas = np.arange(1.5,2.8,0.05)*eta
for sigma in sigmas:
lambdas = []
for i in range(repeats):
x0 = np... | null | q4-3.py | q4-3.py | py | 919 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.arange",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_n... |
616351378 | #!/usr/bin/python3
import requests,sys,webbrowser,os,re
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
from markdown import markdown
if len(sys.argv[1:])==0:
search_term = ' '.join(input("Enter the search term\n").split())
else:
search_term = ' '.join(sys.argv[1:])
headers = {'User-Agent':... | null | gsearch.py | gsearch.py | py | 2,198 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
276840148 | # -- coding: utf-8 --
from flask import Flask,url_for,render_template,redirect,session,request, make_response
from flask_restful import Api, Resource
from Model import dao
from Controller import User, Main
import config
from flask_cors import CORS
app = Flask(__name__)
api = Api(app)
CORS(app)
api.add_resource(Main.M... | null | app.py | app.py | py | 923 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Controller.Main.Main",
... |
15933577 | # -*- coding: utf-8 -*-
from flask import Flask, render_template, flash, redirect, url_for, session, logging
from flask_mysqldb import MySQL
from wtforms import Form, StringField, IntegerField, DecimalField, PasswordField, validators
app = Flask(__name__)
# Config MySQL
app.config['MYSQL_HOST'] = 'localhost'
app.co... | null | __init__.py | __init__.py | py | 4,708 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.render_tem... |
427204759 | #!/usr/bin/env python
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
import os
import platform
import sys
from setuptools import find_packages, setup
try:
from setuptools_rust imp... | null | setup.py | setup.py | py | 6,394 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
265099571 |
import scipy.stats as stats
import numpy as np
import warnings
from ecdfgof import adtest, kstest
warnings.filterwarnings("ignore")
_long = [
("alpha", stats.alpha),
("anglit", stats.anglit),
("arcsine", stats.arcsine),
("argus", ... | null | funcsim/distfit.py | distfit.py | py | 7,607 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.stats.alpha",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scipy.stats... |
514226931 | """Action Module circuits component to execute simple REST API queries"""
import logging
import base64
import copy
import json
import requests
from string import Template
from pkg_resources import Requirement, resource_filename
from circuits.six import string_types as string_types
from resilient import SimpleHTTPExcept... | null | older/rc-query-rest/query_runner/components/rest_query.py | rest_query.py | py | 4,115 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pkg_resources.resource_filename",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pkg_resources.Requirement",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
420360385 | import os
from setuptools import setup, find_packages
version = "0.0.6"
install_requires = [
"jinja2",
"google-api-python-client>=1.7.4",
"pyyaml>=3.13",
"requests>=2.20.0",
"google-cloud-pubsub>=0.38.0",
"google-cloud-logging>=1.7.0",
]
tests_require = ["pytest", "docker", "mock"]
setup(
... | null | python/setup.py | setup.py | py | 687 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "setuptools.setup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 23,
"usage_type": "call"
}
] |
531517953 | # %% Define environment
import numpy as np
from numpy.core.fromnumeric import argmax
from numpy.random import rand, randint
import matplotlib.pyplot as plt
import random
#TODO:
def environment(a, bandits):
assert 0 <= a < len(bandits)
mean, dev = bandits[a]
return mean + (rand() * 2 - 1) * dev... | null | D1 agents/domaci1.py | domaci1.py | py | 3,692 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.rand",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint... |
525395517 | from pymongo import MongoClient
import time
import random
#Import beautiful soup
import requests
import re
from bs4 import BeautifulSoup
import argparse
client = MongoClient()
database = client['capstone'] # Database name
mongo_connect = database['onion_articles']
def scrape(start_link):
'''
INPUT:
... | null | web_scraper.py | web_scraper.py | py | 3,530 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
408610167 | import requests
from bs4 import BeautifulSoup
import re
import time
#取到百思不得姐段子 里的
# 用户名，时间，标题，图片(保存名为标题)
# 1 分析，各个数据的位置
def download(page=1):
url="http://www.budejie.com/%d"%(page)
headers={
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.344... | null | spider/baisibudejie.py | baisibudejie.py | py | 2,267 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number... |
386668499 | """
Endpoints for feedback operations.
Due to the nature of feedback being tied to events, lots of this code
will have cross reference with `event_id`'s.
This is as much coupling as should be allowed here; we need to leave the
actual union of events and feedback to code in `util/` files to remain
flexible and have th... | null | routes/feedback.py | feedback.py | py | 2,212 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.events.EventId",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "models.events",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "models.fee... |
186178544 | #! /usr/bin/env python
import os
import sys
def _release_path_test(curpath,*paths):
testfile = os.path.join(curpath,*paths)
if os.path.exists(testfile):
if curpath != sys.path[0]:
if curpath in sys.path:
sys.path.remove(curpath)
oldpath=sys.path
... | null | test/release/releasetest.py | releasetest.py | py | 4,072 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,... |
482875144 |
from __future__ import absolute_import
from .config import CONFIG
from .util import esi, esi_client, name_to_id, HTTPError
from .assets import Asset, Type, is_system_id
from .pos_resources import pos_fuel
import sys
import math
import datetime
from decimal import Decimal
import six
from six.moves import range
def ne... | null | structurebot/pos.py | pos.py | py | 10,153 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.maxsize",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "six.iteritems",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number"... |
509797695 | import requests,random
class Api():
base_url='https://wger.de/api/v2/'
def __init__(self,auth_token,username,password):
self.auth_token = auth_token
self.username=username
self.password=password
def __repr__(self):
return f"User: {self.username}"
def user_login(self):... | null | wger.py | wger.py | py | 14,005 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_num... |
165007795 | # -*- coding: utf-8 -*-
"""
NLP Pipeline чатбота
Содержит код для выполнения операций с текстом на русском языке (или на другом целевом),
в частности - токенизация, лемматизация, частеречная разметка. Для этого грузит
разнообразные пакеты, включая POS Tagger, чанкер etc.
Различные словарные базы.
Для проекта чатбота ... | null | ruchatbot/bot/text_utils.py | text_utils.py | py | 13,056 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rutokenizer.Segmenter",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "ruchatbot.utils.tokenizer.Tokenizer",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "ruchatbot.bot.language_resources.LanguageResources",
"line_number": 63,
"usage_... |
411671888 | import torch
from torch.utils.data import Dataset
from loader.funcs import ensure_size
class MaskedTrainDataset(Dataset):
def __init__(self, user_to_seqs, max_len, mask_prob, token_mask, token_pad, num_items, rng):
# user_with_items: dict, {user_id: [[item_id,...], [item_id,...]]}
self.user_to_s... | null | loader/masked_dataset.py | masked_dataset.py | py | 2,956 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "loader.funcs.ensure_size",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "loader.funcs.ensure_size",
"line_number": 58,
"usage_type": "call"
},
{
"api_nam... |
291601588 | from django.db.models.signals import post_save
from django.contrib.auth.models import User
from django.contrib.auth.models import Group
from .models import EmplopyeeDetails
def employee_profile(sender, instance, created, **kwargs):
if created:
group = Group.objects.get(name='employees')
instance.groups.add(grou... | null | loginanddashboard/signals.py | signals.py | py | 496 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.models.Group.objects.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.Group",
"line_number": ... |
74878705 | import sys
import xhtml2pdf.pisa as pisa
from io import StringIO
import re
from inspect import getframeinfo, stack
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
"""
G_ActionOutputCreateAccount = r'''<?xml version="1.0" encoding="UTF-8" ?><ScriptOutput><Data>... | null | STG/Guest_WIFI_Create_PDF.py | Guest_WIFI_Create_PDF.py | py | 12,069 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.sub",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 47,
"usage_type"... |
60198393 | from django.conf.urls import url
from . import views
app_name = 'courseselect'
urlpatterns = [
url(r'^$', views.login, name='index'),
url('logout', views.logout, name='logout'),
url('student/index', views.stu_index, name='stu_index'),
url('student/courseResult.html', views.selected, name='sel... | null | mysite/courseselect/urls.py | urls.py | py | 2,045 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
9807932 | import numpy as np
from scipy import misc
import matplotlib.pyplot as plt
from os import path
from glob import glob
from challenge_utils import *
# The working directory where the data was dumped
workdir = 'features'
# n is the number of images along each image dimension
n = 10
featurelist = ['border', 'border_pix5',... | null | sortbyfeatureplots.py | sortbyfeatureplots.py | py | 1,603 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 19,
... |
97202582 |
import time
import sqlite3
import psutil
connection = sqlite3.connect('/etc/iemlav/db.sqlite3')
connection.execute('''CREATE TABLE IF NOT EXISTS USERS(
ID INTEGER PRIMARY KEY AUTOINCREMENT,
NAME CHAR(100),
IP CHAR(100),
dt TIMESTAMP
);''')
class IemlAVUserLogger():
BOLD = '\033[1m'
... | null | iemlav/users.py | users.py | py | 2,067 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "psutil.users",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_n... |
446613082 | #coding:utf-8
import http;
import json
import urllib
import signature as sg
def invest(sid,productId,productCategory,amount,sessionId,coinNumm):
if sid !="":
num = "0123456789"
randomStr = "ABCDEFGHIJKLMNOPQRSTUVWXYZ/"
time, method = sg.getServerTime()
t = time
rd = sg.ra... | null | invest.py | invest.py | py | 2,592 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "signature.getServerTime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "signature.random_str",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "signature.random_str",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sig... |
159088737 | from django import forms
from bhp066.apps.bcpp.base_model_form import BaseModelForm
from edc_constants.constants import ALIVE, DEAD, NO, YES, UNKNOWN
from ..models import CallLog, CallLogEntry
class CallLogForm (BaseModelForm):
class Meta:
model = CallLog
class CallLogEntryForm (BaseModelForm):
... | null | bhp066/apps/bcpp_subject/forms/call_log_form.py | call_log_form.py | py | 4,962 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bhp066.apps.bcpp.base_model_form.BaseModelForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.CallLog",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "bhp066.apps.bcpp.base_model_form.BaseModelForm",
"line_number": 15,
"usage_t... |
63931198 | import re
from collections import defaultdict
from pathlib import Path
from typing import Pattern, List, Callable, Dict, Any, Optional
from pydantic import BaseModel, root_validator
from releaseherald import templates
DEFAULT_FRAGMENTS_DIR = Path("news_fragments")
DEFAULT_VERSION_TAG_PATTERN = re.compile(r"(?P<vers... | null | releaseherald/releaseherald/configuration.py | configuration.py | py | 2,017 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_numbe... |
292145017 | import pythoncom
import PyHook3
import datetime
# from savetime import Savetime
def onMouseEvent(event):
# 监听鼠标事件
print("MessageName:", event.MessageName)
print(str(datetime.datetime.now()))
# print("Message:", event.Message)
# print("Time:", event.Time)
print("Window:", event.Window)
prin... | null | time/my-main-code/remoterecord-origial.py | remoterecord-origial.py | py | 997 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PyHook3.HookManager",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyth... |
348063354 | # -*- coding: utf-8 -*-
import codecs
import pprint
import collections
import hashlib
#f1 = open('book.txt', 'w')
#f1= codecs.open('book.txt', 'w',"utf-8")
subindex = 0
# books map: key = название и автор, значения - массив цитат.
books = {'title, author':['cit1', 'cit2']}
key='';
lastModifiedStr = "";
with cod... | null | v1/clipingsParcer.py | clipingsParcer.py | py | 2,230 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "codecs.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pprint.PrettyPrinter",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "hashlib.md5"... |
103203503 | import sys
from PIL import Image, ImageChops
import random
import argparse
import os
argument_parser = argparse.ArgumentParser(description="Intensifies gifs poorly")
argument_parser.add_argument("--file", "-f", action='store',
help="file path", required=True)
argument_parser.add_argument(... | null | _static/transcribing/intensify.py | intensify.py | py | 2,947 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "random.choice",
"... |
376142000 | # -*- coding: utf-8 -*-
from datetime import datetime
from dateutil import parser as parser_date
def convert_date(date, parser=None):
if date:
if parser:
try:
date = datetime.strptime(date, '%d/%m/%Y')
except Exception:
date = parser_date.parse(date... | null | Allgoo/andbank-service/api/util/string.py | string.py | py | 722 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "da... |
600660611 | from Luna.modules.sql.night_mode_sql import add_nightmode, rmnightmode, get_all_chat_id, is_nightmode_indb
from telethon.tl.types import ChatBannedRights
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from telethon import functions
from Luna.events import bot as register
from Luna import tbot, CMD_HELP
im... | null | Luna/modules/Night_Mode.py | Night_Mode.py | py | 4,828 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "telethon.tl.types.ChatBannedRights",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "telethon.tl.types.ChatBannedRights",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Luna.tbot",
"line_number": 48,
"usage_type": "call"
},
{
"a... |
73539881 | from subprocess import Popen, PIPE
import json
import time
import urllib2
import ssl
from django.core.urlresolvers import reverse
from django.http import HttpResponse
from django.shortcuts import render
from django.template import RequestContext
from django.template.loader import render_to_string
from django.utils imp... | null | plugins/sonarr/resources/sonarrUI/freenas/views.py | views.py | py | 10,593 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jsonrpclib.jsonrpc",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "jsonrpclib.jsonrpc.SafeTransport.__init__",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jsonrpclib.jsonrpc",
"line_number": 22,
"usage_type": "attribute"
},
... |
172005 | """
Run evaluation with saved models.
"""
import os
import random
import json
import argparse
import pickle
import torch
import torch.nn as nn
import torch.optim as optim
from global_random_seed import RANDOM_SEED
from data.loader import DataLoader, KnowledgeLoader
from model.rnn import RelationModel
from utils impo... | null | eval.py | eval.py | py | 4,880 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "global_random_seed.RANDOM_SEED",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 36,
"usage_type": "call"
},
{
"ap... |
221857799 | import mysql.connector
from osmread import parse_file, Node, Way
from path import Path
from os import path
class Handle:
file_path = ''
cnx = mysql.connector.connect(option_files="./mysql.cnf")
cursor = cnx.cursor()
def __init__(self, osm_file):
if path.isfile(path.dirname(path.abspath(__fil... | null | handle.py | handle.py | py | 2,706 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 10,
"usage_type": "name"
},
{
"... |
54989210 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
version = "1.0.0"
setup(name="SamplePythonPackage",
version=version,
description="Python Sample Package",
author="Kosei Himeno",
author_email="k.himeno314@gmail.com",
packages=find_packages(),
license="",
entry_points={
... | null | setup.py | setup.py | py | 468 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 12,
"usage_type": "call"
}
] |
252410488 | import argparse
import os
import numpy as np
import torch
import torch.optim as optim
from numpy.core.defchararray import mod
from torch import nn
from torch.optim.lr_scheduler import StepLR
from torch.utils.data import DataLoader
from models.prototypical import Convnet4, Hallucination, Discriminator
from src.dataset... | null | hw4-shuoenchang/training_code/train_q3.py | train_q3.py | py | 8,962 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.LongTensor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.LongTensor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.empty",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_n... |
28202727 | import requests
import pandas as pd
from bs4 import BeautifulSoup
res = requests.get("http://roll.mil.news.sina.com.cn/col/zgjq/index.shtml")
res.encoding = 'GB2312'
# print(res.text)
soup = BeautifulSoup(res.text,'html.parser')
fList = soup.select('.fixList')
# print(fList)
for each in fList[0].select('li'):
... | null | code/新浪军事/新浪军事.py | 新浪军事.py | py | 807 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
}
] |
388412919 | from src.extract_old_site.modules import excavation_details_page as exc_det
import pathlib
import os
from unittest import mock
import pytest
# Structure 1, /dig/html/excavations/exc_is.html
exc_is_html_str = """
<html><head><title>Excavating Occaneechi Town - [Excavations]</title></head>
<frameset cols="408,*" border=... | null | tests/extract_old_site/modules/test_excavation_details_page.py | test_excavation_details_page.py | py | 18,941 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 407,
"usage_type": "call"
},
{
"api_name": "os.path.normpath",
"line_number": 407,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 407,
"usage_type": "attribute"
},
{
"api_name": "src.extract_old_site.mo... |
532826978 | #!/usr/bin/env python
#-*- coding: utf8 -*-
from keras.datasets import mnist
from keras import models
from keras import layers
from keras.utils import to_categorical
import matplotlib.pyplot as plt
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
# neural network
network = models.Seq... | null | ArtificialIntelligence/BasicsTensorFlow/Chapter3/mnist_digits_keras.py | mnist_digits_keras.py | py | 1,387 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "keras.models.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
341156135 | from pygame import Surface
from Board import Board
from colors import STANDARD_COLOR, WALL, PRIM_COLOR, LIGHTBLUE
from config import screen, board, buttons
def buttons_on_click(x: int, y: int) -> None:
"""check if the mouse click the button
Parameters:
x (int): x screen coordinate
... | null | GeraLabirintos/buttonsHelper.py | buttonsHelper.py | py | 765 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "config.buttons",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "config.buttons",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "config.screen.fill",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "colors.LIGHTBLUE... |
104487933 | import logging
from logging import handlers
import sys
import traceback
import datetime
import re
import socket
log = logging.getLogger('ublogging.' + __name__)
log.setLevel(logging.INFO)
ch = logging.StreamHandler()
log.addHandler(ch)
RAW = 21
regformat = '%(asctime)s %(levelname)s %(message)s'
detformat = '%(ascti... | null | ublogutils/ublogging.py | ublogging.py | py | 2,124 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.For... |
68466813 | #!/usr/bin/env python
import sys
import datetime
import math
"""
isDatetime returns whether a string could represent a date according to the format
%m%d%Y
Input Arguments:
1. s - string
Return Values:
1. True if s could represent a date (i.e. "01312018" represents January 31st, 2018);
False otherwise
"""
def isDat... | null | src/donation-analytics.py | donation-analytics.py | py | 6,070 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "math.ceil",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "sys.argv"... |
245642662 | import argparse
import os
import subprocess
m4_code_root = "/home/xiaxingsuo/code/m4"
m4_repo_init = "repo init -u ssh://xiaxingsuo@58.213.63.62:29418/discovery/manifest -b szjy-main -m m4.xml " \
"--repo-url=git://codeaurora.org/tools/repo.git --repo-branch=caf-stable "
m4_repo_sync = "repo sync -c -j4... | null | bin/crontab_build.py | crontab_build.py | py | 6,809 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen"... |
489933888 | #! /usr/bin/python3
import sys
import os
import os.path as path
from pathlib import Path
from pdfminer.pdfparser import PDFParser, PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LAParams, LTTextBox, LTTextLi... | null | search_index_pdf_in_bd.py | search_index_pdf_in_bd.py | py | 2,046 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.basename",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pdfminer.pdfparser.PDFPar... |
55904453 | '''
Created on July 22, 2013
@author: markg
Purpose: Handling requests for data for the whiteclif investor report
'''
import logging
import datetime
from HTMLParser import HTMLParser
import tornado.web
from genoa.utils import json_safe
from kew.pe.utils.excel_sheet_creation import render_irr_xlsx
c... | null | src/kew/pe/handlers/wir_handler.py | wir_handler.py | py | 3,016 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tornado.web.web",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strp... |
46495989 | #-*-coding:utf-8-*-
# 1.py说明 将训练图片准华为TXT文件
import os
from PIL import Image
import numpy as np
from imageDeel import *
def img2txt(img_path, txt_name):
#将图像数据转化为TXT文件
# img_path: 图像文件路径
# txt_name: 输出txt文件路径
# 将图片转换成灰度图片
im = Image.open(img_path).convert('L')
# im.save(txt_name)
# 将图片转... | null | 1.py | 1.py | py | 975 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number... |
356835262 | import pickle
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns
from scipy import stats
def r2(x, y):
return stats.pearsonr(x, y)[0] ** 2
soc_ts = pickle.load(open("data/forsen/forsen_ts.p","rb"))
df = pd.DataFrame.from_dict(soc_ts,orient='index')
sns.set(color_cod... | null | graph_soc.py | graph_soc.py | py | 2,550 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.stats.pearsonr",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict... |
115202879 | from typing import Iterable
from django.contrib import admin
from .models import FirebaseDevice
@admin.register(FirebaseDevice)
class FirebaseDeviceAdmin(admin.ModelAdmin):
list_display = ('uuid', 'cloud_messaging_token', 'device_type', 'version', 'safe_addresses')
list_filter = ('device_type', 'version', '... | null | safe_transaction_service/notifications/admin.py | admin.py | py | 708 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.FirebaseDevice",
"line_number": 20,
"usage_type": "name"
},
{
"api... |
138819228 | from pyftpdlib.filesystems import AbstractedFS, FilesystemError
from io import BytesIO
import django
import sys
import os
import datetime
import time
# 将项目路径添加到系统搜寻路径当中，查找方式为从当前脚本开始，找到要调用的django项目的路径
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# 设置项目的配置文件 不做修改的话就是 settings 文件
os.enviro... | null | ftpserver/harbor_file_system.py | harbor_file_system.py | py | 14,428 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
488990622 | from flask import Flask, render_template, request, jsonify, redirect, make_response, abort
from ConectorApi import ConectorApi
from ControladorCookies import ControladorCookies
from ControladorVerificaciones import ControladorVerificaciones
from PerfilUsuario import PerfilUsuario, getSha
from PerfilMascota import Perfi... | null | Python/Servidor.py | Servidor.py | py | 22,835 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ConectorApi.ConectorApi",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ControladorCookies.ControladorCookies",
"line_number": 13,
"usage_type": "call"
},
{
"api_nam... |
558040026 | import random
import numpy as np
import pygame
class BirdSprite(pygame.sprite.Sprite):
size = 5
v_max = 3
clusteringF = 10
repulsionF = 1
wallDodgingF = 10
speedMatchingF = 5
runAwayF = 10
forceFactor = 0.02
def __init__(self, ix, iy, predator):
pygame.sprite.Sprite.__i... | null | flocking/Bird.py | Bird.py | py | 2,835 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.sprite",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "nu... |
23427225 | import pygame,random
pygame.init()
class Pole_4(pygame.sprite.Sprite):
def __init__(self,screen):
pygame.sprite.Sprite.__init__(self)
self.screen = screen
self.image = pygame.image.load("Poles/pole2.png")
self.image = self.image.convert()
self.rect = self.image.g... | null | Game/Poles/pole_4_c.py | pole_4_c.py | py | 751 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.spri... |
339277127 | import torch
import torch.nn as nn
from torch.distributions import Categorical
import torch.optim as optim
from skimage.color import rgb2gray
from skimage import transform
import torch.nn.functional as F
import gym
from torch.autograd import Variable
import numpy as np
import matplotlib.pyplot as plt
from tqdm import t... | null | policy_gradient_duckie.py | policy_gradient_duckie.py | py | 6,349 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gym.make",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "skimage.color.rgb2gray",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skimage.transform.r... |
31556002 | # -*- coding:utf-8 -*-
import sys
import os
import glob
import codecs
from xml.dom.minidom import parse
from xml.dom import Node
from xml.sax.saxutils import escape
from PyQt4 import QtGui as gui
from PyQt4 import QtCore as core
class MainWindow(gui.QWidget):
def __init__(self):
super(MainWindow, self)._... | null | python/qt4/6.py | 6.py | py | 4,173 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt4.QtGui.QWidget",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QGridLayout",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt4.Qt... |
113653107 | #!pip install pytube
import pytube
from pytube import YouTube
from tkinter import *
root = Tk()
root.geometry("300x400")
root.title("YouTube Video Downloader")
def youtube():
a = var.get()#https://youtu.be/9emx__jxcTE
ytvideo = YouTube(a).streams.filter(progressive=True, file_extension='mp4').or... | null | Youtube Project.py | Youtube Project.py | py | 756 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytube.YouTube",
"line_number": 12,
"usage_type": "call"
}
] |
239378221 | import requests
import json
import os
import re
from itertools import islice
from bs4 import BeautifulSoup
from .models.gist import Gist
from .models.team import Team
from .models.member import Member
from .common import PATH, logger, oauth_credential, git_credential
from .database import remote_db, local_db
from col... | null | page/app.py | app.py | py | 7,408 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "common.git_credential",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_num... |
267804224 | from django.views.generic import TemplateView
from venkkat.web.models import ContactForm
class HomeView(TemplateView):
template_name = 'html/index.html'
def get_context_data(self, **kwargs):
context = super(HomeView, self).get_context_data(**kwargs)
context.update({
'name': 'ven... | null | venkkat/web/views.py | views.py | py | 412 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "venkkat.web.models.ContactForm.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "venkkat.web.models.ContactForm.objects",
"line_number": 14,
"... |
184465056 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 19 19:53:15 2016
@author: chaitanya
"""
import numpy as np
from matplotlib import pyplot as plt
from pyexcel_ods import get_data
from scipy.stats import norm
from matplotlib.mlab import PCA
def gaussian(x, mu, sig):
return np.exp(-np.power(x - mu, 2.) / (2 * np.powe... | null | Assignment/03/code/gaussian.py | gaussian.py | py | 2,429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.exp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.fit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"li... |
570885988 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.macosx-10.7-x86_64/egg/airflow/operators/slack_operator.py
# Compiled at: 2019-09-11 03:47:34
# Size of source mod 2**32: 5189 bytes
import json
from ... | null | pycfiles/apache_airflow_arup-1.10.5-py3.6/slack_operator.cpython-36.py | slack_operator.cpython-36.py | py | 4,360 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "airflow.exceptions.AirflowException",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "airflow.exceptions.AirflowException",
"line_number": 25,
"usage_type": "c... |
569296012 | # This sample tests Pyright's handling of recursive type aliases
# that are also generic.
from typing import List, TypeVar, Union
_T2 = TypeVar("_T2", str, int)
GenericTypeAlias1 = List[Union["GenericTypeAlias1", _T2]]
SpecializedTypeAlias1 = GenericTypeAlias1[str]
a1: SpecializedTypeAlias1 = ["hi", ["hi", "hi"]]
... | null | packages/pyright-internal/src/tests/samples/typeAlias7.py | typeAlias7.py | py | 599 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.TypeVar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 8,
"usage_type": "name"
}
] |
647209276 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 13 12:35:03 2019
@author: calbert
"""
# %%
import time
import numpy as np
import matplotlib.pyplot as plt
from fffi import fortran_library, fortran_module
from netCDF4 import Dataset
from mpl_toolkits.mplot3d import Axes3D
pi = np.pi
libneo_orb =... | null | PLOT/plot_field.py | plot_field.py | py | 6,994 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "fffi.fortran_library",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fffi.fortran_module",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fffi.fortran_m... |
637323455 | from sklearn import neighbors, datasets
import matplotlib.pyplot as plt
n_neigh = 7
weights = 'uniform'
iris = datasets.load_iris()
X = iris.data[:,:2]
y = iris.target
clf = neighbors.KNeighborsClassifier(n_neigh, weights=weights)
clf.fit(X,y)
#print(clf.predict([[3.3,1]]))
from sklearn.model_se... | null | 2semana/SKLEARN/aula-SKLearn.py | aula-SKLearn.py | py | 952 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 13,
"usage_type": "call"
},
{
"... |
604940709 | # Bar chart code has been borrowed from: https://matplotlib.org/2.0.2/examples/pylab_examples/barchart_demo.html
# Akshay Pal and Antoine Thibaut have both contributed to this code
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# generic mpg ratings:
hybrid = 7
diesel = 5.3
# specific mpg ra... | null | Route modelling code/Gallons.py | Gallons.py | py | 15,273 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.DataFrame",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 196,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 196,
"usage_type": "name"
},
{
"api_name": "nump... |
637207759 | from flask import Flask, render_template, request
from flask import json
import pandas as pd
import numpy as np
import pickle
import scipy
import requests
RAPIDAPI_KEY = ""
RAPIDAPI_HOST = ""
url = "https://imdb8.p.rapidapi.com/title/get-overview-details"
headers = {
'x-rapidapi-host': RAPIDA... | null | app.py | app.py | py | 2,607 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.load",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_n... |
182477886 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import ryu.contrib
ryu.contrib.update_module_path()
from ryu import cfg
import logging
import sys
from ryu import log
log.early_init_log(logging.DEBUG)
from ryu import flags
from ryu import version
from ryu.lib import hub
from ryu.a... | null | dragon_knight/daemon.py | daemon.py | py | 2,405 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ryu.contrib.contrib.update_module_path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ryu.contrib.contrib",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ryu.contrib",
"line_number": 6,
"usage_type": "name"
},
{
"api_name... |
637160541 | import argparse
import hashlib
import json
from pathlib import Path
from typing import Union
ALGO_DICT = {
'sha256': hashlib.sha256(),
'sha512': hashlib.sha512(),
'sha1': hashlib.sha1(),
'md5': hashlib.md5(),
}
SUPPORTED_ALGOS = list(ALGO_DICT)
CHUNK_SIZE = 64 * 1024
def fileChecksum(
file_path: Union[s... | null | py_essentials/hashing.py | hashing.py | py | 2,429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hashlib.sha256",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "hashlib.sha512",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_numb... |
504452832 | import sys
import os
if __name__=='__main__':
cur_path = sys.path[0]
sys.path.insert(0, os.path.join(cur_path, '..', '..','PyDispatcher-2.0.3'))# PyDispatcher-2.0.3/
sys.path.insert(0, os.path.join(cur_path, '..', '..')) # openvisualizer/
sys.path.insert(0, os.path.join(cur_pat... | null | software/openvisualizer/bin/moteStateGui/moteStateGui.py | moteStateGui.py | py | 9,219 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
300420154 | from setuptools import setup, find_packages
from setuptools.extension import Extension
from distanceclosure import __package__, __description__, __version__
from Cython.Build import cythonize
from Cython.Distutils import build_ext
import subprocess
# Readme
def readme():
with open('README.md') as f:
retu... | null | setup.py | setup.py | py | 1,991 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.Popen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "setuptools.extensi... |
472448389 | import json
import re
import bottle
import sqlitedatastore as datastore
@bottle.route('/')
def index_html():
return bottle.static_file('sample_06_09.html', root='./static')
@bottle.route('/file/<filename:path>')
def static(filename):
return bottle.static_file(filename, root='./static')
@bottle.get('/get'... | null | sample_06_08.py | sample_06_08.py | py | 2,130 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bottle.static_file",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bottle.route",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bottle.static_file",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bottle.route",
... |
230486897 | # Standard Library Imports
from typing import Any, Dict, List, Tuple
# RAMSTK Package Imports
from ramstk.configuration import (
RAMSTK_ACTIVE_ENVIRONMENTS as RAMSTK_ACTIVE_ENVIRONMENTS
)
from ramstk.configuration import (
RAMSTK_DORMANT_ENVIRONMENTS as RAMSTK_DORMANT_ENVIRONMENTS
)
from ramstk.configuration i... | null | src/ramstk/views/gtk3/hardware/workview.pyi | workview.pyi | pyi | 11,469 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ramstk.views.gtk3.widgets.RAMSTKPanel",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "typing.An... |
69256701 | import alsaaudio
import base64
from datetime import datetime
from io import BytesIO
import pyscreenshot as ImageGrab
from subprocess import call
import webbrowser
from Xlib.error import DisplayNameError
import os
from tools.common import UPLOAD_DIRECTORY
from tools.common import HISTORY_DIRECTORY
try:
... | null | tools/system_calls.py | system_calls.py | py | 4,917 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Xlib.error.DisplayNameError",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "subprocess.call",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "webbrowser.open",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "subproces... |
626610905 | import logging as log
from itertools import product
import numpy as np
from spacy.tokens import Span
from experiments.tags import CategoricalTags
from experiments.ontology.symbols import POS_TAGS, DEP_TAGS, IOB_TAGS, NER_TAGS, ALL_ENT_CLASSES, WORDNET_HYPERNYM_CLASSES
from experiments.ontology.linker import NERTypeRe... | null | experiments/ontology/ont_encoder.py | ont_encoder.py | py | 10,345 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.info",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.Span",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "experiments.ontology.linker.NERTypeResolver",
"line_number": 45,
"usage_type": "call"
},
{
"api_na... |
483559610 | #!/usr/bin/env python
import sys
import os
import json
import math
def isclose(a, b, rel_tol=1e-09, abs_tol=0):
return abs(a-b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol)
if len(sys.argv) < 2:
print("\nUsage: python3 compare_results.py reference_results_path current_results_path")
sys.exit(1)
ref_res_... | null | ci/scripts/compare_results.py | compare_results.py | py | 1,807 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
651557929 | import argparse
import sys
import xgitInit as init
parser = argparse.ArgumentParser(description='some useful git operation.')
subparsers = parser.add_subparsers(help='sub-command help')
parser_init = subparsers.add_parser('init')
parser_init.add_argument('initName')
args = parser.parse_args()
if hasattr(args, 'ini... | null | xgit.py | xgit.py | py | 360 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "xgitInit.create",
"line_number": 15,
"usage_type": "call"
}
] |
461194253 | from django.conf import settings
from rest_framework import pagination
from rest_framework.response import Response
from django.utils.translation import gettext_lazy as _
class Pagination(pagination.PageNumberPagination):
page_size_query_param = 'page_size'
max_page_size = None
last_page_strings = ('last'... | null | app/pagination.py | pagination.py | py | 1,234 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.pagination.PageNumberPagination",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.pagination",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 11,
"u... |
519521830 | from django.shortcuts import render, redirect, HttpResponse
from applistion.models import UserInfo, Student, Class, Teacher
# Create your views here.
# 登录功能
def login(request):
if request.method == 'POST':
name = request.POST.get('user')
pwd = request.POST.get('pwd')
if UserInfo.objects.fi... | null | management/applistion/views.py | views.py | py | 3,951 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "applistion.models.UserInfo.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "applistion.models.UserInfo.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "applistion.models.UserInfo",
"line_number": 11,
"usage_... |
581529736 | # tensorboard --logdir=. --host=127.0.0.1
from numpy.random import seed
seed(1)
from tensorflow import set_random_seed
set_random_seed(2)
import numpy as np
import tensorflow as tf
import os
from datetime import datetime
import pickle
from sklearn.metrics import precision_score, recall_score
import ml_helpers
impor... | null | ml_tensorflow.py | ml_tensorflow.py | py | 10,601 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "n... |
150288477 | # -*- coding: utf-8 -*-
import random
import numpy as np
import time
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Variable
#import torchvision.transforms as T
import sys
import argparse
from argument import get_args
args = get_args('DQN')... | null | DQN_basic.py | DQN_basic.py | py | 3,740 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argument.get_args",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "env.Env",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "memory.ReplayMemory",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "agent.Agent",
"line... |
374412829 | import torch.optim as optim
import torch.nn as nn
import torch
import model
import os
from tensorboardX import SummaryWriter
from dataset import UCF101DataSet
# config and data path
base_lr = 0.003
momentum = 0.9
batch_size = 30
num_classes = 101
num_epoches = 18
weight_decay = 0.005
train_list = 'list/train_ucf101.li... | null | train.py | train.py | py | 3,204 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "model.C3D",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dataset.UCF101DataSet",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Data... |
46778847 | # -*- coding: utf-8 -*-
"""
Module for SSH destination.
"""
import socket
import os
from contextlib import contextmanager
from multiprocessing import Process
import time
from twindb_backup import LOG
from twindb_backup.destination.base_destination import BaseDestination
from twindb_backup.destination.exceptions impo... | null | twindb_backup/destination/ssh.py | ssh.py | py | 9,956 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "twindb_backup.destination.base_destination.BaseDestination",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "socket.gethostname",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "twindb_backup.ssh.client.SshClient",
"line_number": 49,
"us... |
196812321 | from __future__ import unicode_literals
from django.db import models, transaction
from django.contrib.sites.models import Site
from django.dispatch import receiver
from django.db.models.signals import pre_delete,pre_save
from django.utils.encoding import python_2_unicode_compatible
from django.core.exceptions import V... | null | wildlifecompliance/components/organisations/models.py | models.py | py | 36,300 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
617485752 | # FOR GETTING THE TWEETS
import json
new_data = []
tweets = []
for line in open('training.txt', 'r'):
tweets.append(json.loads(line))
for i in range(len(tweets)):
new_data.append(tweets[i]["text"].encode('utf-8').strip() + "\n")
#new_data.append("\t\t\t\n")
f = open('tweets.txt', 'w')
for word in new_data:... | null | word2vec/extract.py | extract.py | py | 345 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
}
] |
230040828 | import astropy.units as u
import numpy as np
import matplotlib.pyplot as plt
import os
import pdb
import astropy.constants as c
import scipy
from astropy.modeling.models import BlackBody
from astropy.io import ascii
from astropy.table import Table
from tools import plots
ROOT = os.path.dirname(os.path.abspath(__file__... | null | python/pyvista/etc.py | etc.py | py | 12,761 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "astropy.modeling.models.... |
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