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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
285001864 | import torch
import torch.nn.functional as F
from torch.autograd import Variable
import torch.utils.data as data
import numpy as np
import os
from datetime import datetime
from models.model import UNet
from data import TrainSet
from tools import adjust_lr,clip_gradient
lr=1e-4
path_root='/home/dave/DataSet/bi-train-... | null | ResEncoder/train.py | train.py | py | 1,979 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.model.UNet",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.optim... |
298148172 | import pandas as pd
from LogisticRegression import *
from SoftmaxRegression import *
from NeuralNetwork import *
import matplotlib.pyplot as plt
'''Dado um arquivo csv (name), le os dados e adiciona a coluna x0 a matriz de features'''
def le_dados(name):
#Le os dados do arquivo csv
data = pd.read_csv(name)
... | null | Trabalho2/Entrega/Main.py | Main.py | py | 16,890 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
59730907 | import hashlib
import os
import re
import time
import grequests
from openpyxl import Workbook, load_workbook
#生成待翻译的url链接
def get_fanyi(q):
pattern = re.compile(r'[\u4e00-\u9fa5]')
salt = '1122'
appid = '20180115000115453'
secret = 'AHYyafcYLzm3q0fkfQ7z'
s = appid + q + salt + secret... | null | fanyi_excel.py | fanyi_excel.py | py | 3,340 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_... |
632182222 | # To run this test, you must be at the package root directory and run:
# pytest tests/test_modules.py
import pytest
import shutil
testid='ci37511872'
configfile='tests/testconfig.yml'
def test_config():
from dyfi import Config
import os
conf=Config(configfile)
# conf should have at least 'db' and '... | null | tests/test_modules.py | test_modules.py | py | 12,203 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dyfi.Config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "dyfi.Config",
"line_numbe... |
383881758 | import json
import requests
from django.conf import settings
from django.contrib.gis.geos import Point
from django.core.management.base import BaseCommand
from django.utils import timezone
from django.utils.text import Truncator
from furl import furl
from dora.core import utils
from dora.core.models import Moderation... | null | dora/core/management/commands/import_data_inclusion.py | import_data_inclusion.py | py | 12,965 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "furl.furl",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.DATA_INCLUSION_URL",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 37,
"usage_type": "name"
},
{
"api_n... |
509264968 | '''
Created on Jan 14, 2020
@author: Andrew Song
'''
import flask
from flask import request, jsonify
results = [
{'id':0,
'x-axis':123,
'y-axis':234,
'confidence':0.8},
{'id':1,
'x-axis':321,
'y-axis':654,
'confidence':1.0}
]
# Setting up the Flask application object
app = ... | null | OptionsAnalysis/src/sp/api/FlaskProject.py | FlaskProject.py | py | 979 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
264760443 | from bpy.props import (StringProperty, BoolProperty, EnumProperty)
from ...rfb_utils import scene_utils
from ...rfb_utils import shadergraph_utils
from ...rfb_logger import rfb_log
from ... import rfb_icons
from ...rman_operators.rman_operators_collections import return_empty_list
from ...rman_config import __RFB_C... | null | rman_operators/rman_operators_editors/rman_operators_editors_lightlink.py | rman_operators_editors_lightlink.py | py | 12,472 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bpy.types",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rfb_utils.shadergraph_utils.get_light_node",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rfb_utils.shadergraph_utils",
"line_number": 19,
"usage_type": "name"
},
{
... |
291290755 | #! /usr/bin/python
'''
/****************************************************/
// Filename: comnwithxbee.py
// Created By: Amit Pathania,Manjunath K, Goutam
// Creation Date: 23-10-2016
// Purpose/Description: For serial communication between bot and Xigbee and sending/recieving data to/from Xigbee. It reads table numbe... | null | 2016-cs684-Auto Serving Bot/Code/UI Code/php_server/comnwithxbee.py | comnwithxbee.py | py | 8,413 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.asctime",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 6... |
241187541 | '''A module to create and update an inventory CSV file using closures and currying'''
# Create and update a CSV dile that lsits which furniture is rented to which customer
# Create functionalities that will load individual customers rentals
import csv
from functools import partial
def add_furniture(invoice_file, cust... | null | students/chelsea_nayan/lesson08/inventory.py | inventory.py | py | 2,204 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.writer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 29,
"usage_type": "call"
}
] |
493983227 | import sys
sys.path.append('src')
import scipy.sparse as sparse
import numpy as np
import scipy as sc
from numpy.linalg import inv, pinv
from utils.utils import log_filter, binary_filter
import pdb
"""def RWTM(matrix, logger, args):
try:
transform = args['transform']
threshold = args['threshold']
... | null | src/proxi_methods/RWTM.py | RWTM.py | py | 2,473 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.vectorize",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_nu... |
197022038 | import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
import pickle
import cv2
import glob
from vehicle_det_main_funcs import *
from adv_lane_lines import *
from sklearn.svm import LinearSVC
from sklearn.preprocessing import StandardScaler
import random
import time
from scipy.ndimage.measu... | null | veh_det_main.py | veh_det_main.py | py | 11,005 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "sklearn.preprocessing.Stand... |
69944899 | import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from gui import Ui_Form
def egcd(v, w): #теорема Евкліда, знаходження мультиплікативної інверсії
if v == 0:
return (w, 0, 1)
else:
gcd, x, y = egcd(w % v, v)
return (gcd, y - (w//v) * x, x)
def... | null | choice/main.py | main.py | py | 2,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWi... |
292446166 | print('-- ')
print('-- Read data files in different formats')
print('-- ')
# Modules
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from astropy.io import fits
import matplotlib.cm as cm
import pdb as pdb
# Close all windows
plt.close('all')
print('ascii files!')
# (spectrum.dat is a spectru... | null | code_from_meetings/reading_data.py | reading_data.py | py | 2,871 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.loadtxt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_t... |
124425346 | import argparse
import readline
from pynet import Encryptor, Node, MessageState
from pynet.util import send_data, to_bytes, to_address
class Client(object):
"""A client object holds the information needed to send data to a node."""
def __init__(self, private_key, name, server_address):
self.private_key = pri... | null | client.py | client.py | py | 2,798 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pynet.util.to_address",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pynet.Node.construct_message",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pynet.Node",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pynet.u... |
278737474 |
# Import your custom models
from .models import Post, Comment
from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from django.contrib.auth.models import Group, User
from rest_framework.relations import PrimaryKeyRelatedField
import djadmin2
from djadmin2.models import ModelAdmin2
from djadmin2.api... | null | example/blog/admin2.py | admin2.py | py | 1,093 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "djadmin2.apiviews.Admin2APISerializer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework.relations.PrimaryKeyRelatedField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group",
"line_number": 18,
... |
195548159 | import os
import util
import argparse
def parserCommad():
'''
Get the command line parameter and return them.
'''
parser = argparse.ArgumentParser()
parser.add_argument('--mutant_root', action='store',
default="./_SBFL_randomization_higher_order_mutant_set/",
... | null | SBFL_randomization_higher_order_MBFL/create_all_execute_mutants.py | create_all_execute_mutants.py | py | 1,282 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
}
] |
287880723 | from environment.base import Base
import json
from tqdm import tqdm
import math
import os
def main(cfg, model_path):
""" main function to run everything
"""
base = Base(epsilon=cfg['base']['epsilon'], eps_dec=cfg['base']['eps_dec'], padding=cfg['main']['padding'],\
eps_min=cfg['base']['eps... | null | main.py | main.py | py | 1,540 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "environment.base.Base",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_numb... |
79385174 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_sqlalchemy_test_cache
----------------------------------
Tests for `sqlalchemy_test_cache` module.
"""
from __future__ import unicode_literals
import collections
import datetime
import json
import unittest
try:
from unittest import mock
except ImportError: ... | null | tests/unit/test_sqlalchemy_test_cache.py | test_sqlalchemy_test_cache.py | py | 15,402 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "... |
155244507 | import numpy as np
from action import Action
from collections import defaultdict
import random
# Q-learning algorithm
import numpy as np
from action import Action
from collections import defaultdict
import random
# Question 1
#
# It is interesting to give a negative reward to the default event to incite the agents ... | null | wumpus/agents/q_learning_agent.py | q_learning_agent.py | py | 3,511 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "action... |
632726150 | # -*- coding: utf-8 -*-
import os
import sys
import argparse
# env
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djmapache.settings.shell')
from django.conf import settings
# informix environment
os.environ['INFORMIXSERVER'] = settings.INFORMIXSERVER
os.environ['DBSERVERNAME'] = settings.DBSERVERNAME
os.environ['... | null | djmapache/bin/class_year.py | class_year.py | py | 2,969 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.setdefault",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.conf.setti... |
645571197 | import sys
traindata = sys.argv[1]
trainlabels = sys.argv[2]
testdata = sys.argv[3]
filedata = open(traindata).readlines()
lst = []
for line in filedata:
lst.append([ float(x) for x in line.split()])
cols = len(lst[1])
rows = len(lst)
#print(rows, cols)
trainlabels = open(trainlabels).readlines()
trainlst = [... | null | main.py | main.py | py | 3,769 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.shuffle",
"li... |
421589539 | #!/usr/bin/env python3
import requests
import time
epoch = datetime.datetime(2012,4,1,0,0).timestamp()
def get_author_comments(**kwargs):
r = requests.get("https://api.pushshift.io/reddit/comment/search/",params=kwargs)
data = r.json()
return data['data']
before = None
while True:
comments = get_aut... | null | _projlab/reddit-comment/rdt-pushshift.py | rdt-pushshift.py | py | 943 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
}
] |
609259569 | import json
import os
import sys
import soundfile
def _path(x):
return os.path.join(os.path.dirname(__file__), '../%s' % x)
sys.path.append(_path('rhino/binding/python'))
from rhino import Rhino
LIB_PATH = _path('rhino/lib/linux/x86_64/libpv_rhino.so')
MODEL_PATH = _path('rhino/lib/common/rhino_params.pv')
C... | null | benchmark/picovoice.py | picovoice.py | py | 2,524 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_nu... |
471486972 | import nltk
import numpy as np
import random
import string
import re
########################
# Prelucrarea textului #
########################
# citirea textului din fisier
with open('corpus.txt', 'r', encoding="utf-8") as f:
text_articol = f.read()
# curatarea textului - stergerea caracterelor spec... | null | fotbal-bot.py | fotbal-bot.py | py | 2,653 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.sent_tokenize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatizer",
"l... |
204754555 | # -*- coding: utf-8 -*-
from glob import glob
import sys
import gettext
from path import path
from dealer.git import git
BASE_ROOT = path('/edx/app/edxapp/') # folder where edx-platform main repository and our stuffs are
sys.path.append('/edx/app/edxapp/fun-apps') # Add the fun-apps repo to sys.path:
PLATFORM_NAM... | null | fun/envs/common.py | common.py | py | 7,329 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "path.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "path.path.split",
"line_n... |
308577258 | import pandas as pd
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
dataset = pd.read_csv('data/insurance1.csv')
# ------------ Trying model with all features -----------------------------
X = dataset.iloc[:, 1:9].values
y = dataset.iloc[:, 9].values
# Label Encoder for region
le_1 = LabelEncoder()
X[:... | null | src/RandomForestNew.py | RandomForestNew.py | py | 4,413 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 15,
"usage_type": "call"
},
{
... |
126190431 | from flask import Flask, after_this_request, request
app = Flask(__name__)
app.debug = True
@app.route('/', methods=['POST'])
def aiMove():
@after_this_request
def add_header(response):
response.headers['Access-Control-Allow-Origin'] = '*'
return response
payload = request.get_json(force=... | null | server/server.py | server.py | py | 3,988 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.after_this_request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.request.get_json",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.reque... |
324121733 | import pygame # pygame is a gaming module with things built in to make game coding easier
import time
import random
pygame.init()
width = 800
height = 600
score=0
gameDisplay = pygame.display.set_mode((width,height)) # creates a display and returns a surface object
white = (255,255,255)
black = (0,0,0)
icon ... | null | FlappyBird.py | FlappyBird.py | py | 8,473 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.loa... |
106535042 | #！/usr/bin/env python
# Author:Hank
'''
队列：满足特点 --> 先进先出，类似于我们生活中的买票、安检
【注意】
对于队列而言：python中有为其封装特定的函数，在collections模块中的deque函数就可以获取一个队列对象;
操作步骤：
步骤一：导入collections模块
步骤二：collections.deque() --> 返回队列对象
步骤三：使用队列对象调用其存和取的函数，完成需求
'''
'''
演示队列存取数据的特点：先进先出
'''
# import collections
#
# #获取队列对象：dequ... | null | 第31-35课/python第三十三课——队列(难).py | python第三十三课——队列(难).py | py | 2,298 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
371920672 | from gssutils import *
import json
info = json.load(open('info.json'))
etl_title = info["Name"]
etl_publisher = info["Producer"][0]
print("Publisher: " + etl_publisher)
print("Title: " + etl_title)
scraper = Scraper(seed="info.json")
scraper
| null | datasets/HM-Land-Registry-Price-Paid-Data/main.py | main.py | py | 256 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 4,
"usage_type": "call"
}
] |
97785374 | import configparser
import os
class ConfigPathUtils():
def __init__(self, group, root_dir, base_path_item='base_path'):
"""
root_dir = os.path.dirname(os.path.abspath(__file__))
"""
# Drive のパスを読み込み： _settings/BiDAF.cfg から デフォルト設定を読み込み
self.cfg = configparser.ConfigParser()... | null | _settings/config_path_utils.py | config_path_utils.py | py | 1,192 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
360879461 | # Copyright Anoop Kumar Narayanan 2010-* "anoop at kn dot gmail at com" try the same with "live at in" as well
# To repeat it, "anoop at kn dot gmail at com" try the same with "live at in" as well
# License : send me a mail and I'll let you know
# Website : lotsofpipes.googlecode.com
# Blog : techistan.blogspot.... | null | python-related/python-project-manager/ProjectManager.py | ProjectManager.py | py | 21,808 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wx.App",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
... |
480759558 | import numpy as np
from player import Player
from tabulate import tabulate as table
class Team():
"""
teamData['teams'][teamId]
rosterData['schedule'][matchupNum]['home' or 'away']
"""
def __init__(self, teamData):
self.teamId = teamData['id']
self.teamAbbrev = teamData['abbrev']
... | null | old_code/team.py | team.py | py | 10,879 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "player.Player",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "player.eligibleSlots",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "player.score",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "player.scor... |
25997564 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect, HttpResponse
import json
from inventory.models import Asset, Spec, Value, Model, Category, AssetForm
#
# Basic views
#
# Lists all assets
def index(request):
return render(request, 'inventory/index.html', {})
#... | null | inventory/views.py | views.py | py | 8,937 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "inventory.models.Asset",
"line_number": 18,
"usage_type": "argument"
},
{
... |
38441050 | import requests
import os
import bs4
import re
import openpyxl
from download import download
from openpyxl.drawing.image import Image
urlbase = 'http://www.playtech.com.br/categoria/1/130/304//Preco/Crescente/63/1//0/0/.aspx'
if __name__ == "__main__":
wb = openpyxl.load_workbook(filename='base.xlsm', read_only=F... | null | playtech.py | playtech.py | py | 2,372 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "download.downlo... |
341358759 | # -*- coding: utf-8 -*-
from __future__ import print_function, division, absolute_import
import os
import weakref
import ast as ast_module
import types
import logging
import pprint
import collections
import llvm.core
from numba import pipeline, naming, error, reporting, PY3
from numba.utils import TypedProperty, Wri... | null | oldnumba/environment.py | environment.py | py | 31,749 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numba.PY3",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "types.NoneType",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numba.utils.WriteOnce... |
521202191 | from django.shortcuts import render
from django.http import JsonResponse
from Poker_algorithm import Function as Fun
import DataManager.BaseInfo as Bi
import DataManager.StatusRecord as Sr
import DataManager.Action as Ac
from my_web.models import *
from django.forms.models import model_to_dict
from Poker_algorithm.Func... | null | djangoProject/my_web/views.py | views.py | py | 11,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 34,
"usage_type": "call"
},
{
"api_name... |
196992623 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
import unitTestUtil
import pxssh
import time
import subprocess
import os
import logging
currentPath = os.getcwd()
try:
testPath = currentPath[0:currentPath.... | null | tests/common/watchdogResetTest.py | watchdogResetTest.py | py | 4,139 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pxssh.pxssh",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "unitTestUtil.Login",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pxssh.pxssh",
"line_numb... |
228238815 | import os
import csv
import math
import random
import numpy as np
import os.path as Path
import tables as tb
from keras.utils import to_categorical
from typing import Dict, List, Tuple
from zk.visual import Visual
LABEL = {
'1': 'Ramnit',
'2': 'Lollipop',
'3': 'Kelihos_ver3',
'4': 'Vundo',
'5': 'S... | null | src/python/zk/dataset/mcc2015.py | mcc2015.py | py | 9,395 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "zk.visual.Visual",
"line_number... |
84085904 | import cv2
import os
from cam_image_process import lanes_detection_polyfit as ldsw
# Step1: Input the image and Preview
img1 = cv2.imread("./test_images/straight_lines1.jpg")
# Step2: Initialize the container FeatureCollector object.
name_list = []
cal_imgs_list = []
for path, dir_list, file_list in os.walk(r".\came... | null | img_test_lane_polyfit.py | img_test_lane_polyfit.py | py | 1,199 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
... |
632767044 | #!/usr/bin/python
# Author: Mania Abdi, Trevor Nogues
import entry
import uuid
import utils.status as status
from entry import Entry
'''
NOTES:
- On eviction we cannot evict partially, because we dont know future strides
- On pin/unpin we cannot pin partially. but we should support it in the future
'''
#FIX... | null | code/d3n/worker.py | worker.py | py | 11,791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "uuid.uuid1",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.status.FILE_NOT_FOUND",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "utils.status",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "utils.status... |
619281337 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Loads '.edf' data format in the data shape of EEGNet
"""
import numpy as np
# pyEDFlib is a python library to read/write EDF+/BDF+ files based on EDFlib.
import pyedflib as edf
import os
# to calculate mean and the standard deviation
import statistics as stats
impor... | null | get_data.py | get_data.py | py | 10,213 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "statistics.stdev",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
593299678 | import pandas as pd
import os
import spacy
from spacy.matcher import Matcher
from spacy.tokens import Doc
import numpy as np
from numpy import array
from sklearn.feature_extraction.text import CountVectorizer
from collections import Counter
from matplotlib import pyplot as plt
import seaborn as sb
import re
# Objecti... | null | covid_19.py | covid_19.py | py | 5,603 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "spacy.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.Doc",
"line_numb... |
584740248 | # Licensed to Modin Development Team under one or more contributor license agreements.
# See the NOTICE file distributed with this work for additional information regarding
# copyright ownership. The Modin Development Team licenses this file to you under the
# Apache License, Version 2.0 (the "License"); you may not u... | null | modin/experimental/cloud/rpyc_proxy.py | rpyc_proxy.py | py | 27,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cloudpickle.loads",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cloudpickle.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "rpyc.Connection",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "collections.... |
350906974 | #Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | null | fluid/PaddleRec/ssr/train.py | train.py | py | 3,747 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "argparse.Argu... |
299097509 | # Create your views here.
from django.db.models import Q
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rkmndObjects.serializers import rkmndSerializer, commentSerializer
from django.contrib.auth.models import User
from rkmndObjects.mod... | null | rkmndBack/rkmndObjects/views.py | views.py | py | 8,312 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rkmndObjects.models.RkmndObj.objects.filter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rkmndObjects.models.RkmndObj.objects",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "rkmndObjects.models.RkmndObj",
"line_number": 23,
"... |
258982147 | import re
import subprocess
import traceback
from datetime import datetime
from typing import List, Dict, Set
from bauh.api.exception import NoInternetException
from bauh.commons.system import new_subprocess, run_cmd, new_root_subprocess, SimpleProcess, ProcessHandler
RE_SEVERAL_SPACES = re.compile(r'\s+')
def get_... | null | bauh/gems/flatpak/flatpak.py | flatpak.py | py | 12,873 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "re.findall",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 43... |
164978588 | #!/usr/bin/python3
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import openpyxl
file = 'mybigdf.xlsx'
book = openpyxl.load_workbook(file)
#print(book.get_sheet_names())
sheet = book.get_sheet_by_name('Sheet1')
for i in range(4,123):
for j in range(4,75):
if( not sheet.cell(row =i, colum... | null | aux_scripts/min_max.py | min_max.py | py | 736 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 10,
"usage_type": "call"
}
] |
600068504 | import numpy as np
import matplotlib.pyplot as plt
np.random.seed(1)
files = ["/home/bmumey/wh/chr22-full/output.txt.dist-0.0-500000.txt",
"/home/bmumey/wh/chr22-full/output.txt.dist-0.05-500000.txt",
"/home/bmumey/wh/chr22-full/output.txt.dist-0.1-500000.txt"]
colors = ["red", "orange", "blue"]
fi... | null | wildcard/create_3_scatter.py | create_3_scatter.py | py | 1,144 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotl... |
369371340 | from app import *
from forms import GenreForm, SongForm, SearchForm
from flask import request, redirect, render_template, url_for, flash, make_response
import random
from utils import get_url
"""
Views for the Flask app. Contains the routes for the page routing
"""
@app.route('/')
def home():
"""
Homepage. S... | null | views.py | views.py | py | 6,323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "forms.SearchForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "app.route",
... |
531689210 | import csv
import random
from functools import partialmethod
from pathlib import Path
import numpy as np
import torch
from torch import device
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val =... | null | utils.py | utils.py | py | 1,864 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.no_grad",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.initial_seed",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
... |
206496036 | import requests
from requests import RequestException
from bs4 import BeautifulSoup
import csv
class Item:
"""
An Item object represents the signature of an HTML tag.
"""
def __init__(self, name: str, tag: str, attribute={'': ''}): # pragma: no cover
"""
Constructor.
... | null | module/web_scraper.py | web_scraper.py | py | 6,883 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "requests.RequestException",
"line_number": 99,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "requests.Re... |
423914652 | from collections import defaultdict
import os, sys
import argparse
from lxml import etree as et
import re
import gc
import logging
import math
import moviepy.editor as mp
from svglib.svglib import svg2rlg #, find_font, _registered_fonts
from reportlab.graphics import renderPM
#from reportlab.pdfbase.p... | null | svg_to_mp4.py | svg_to_mp4.py | py | 6,887 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "moviepy.editor.ImageSequenceClip",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "moviepy.edi... |
377133217 | import cv2
import os
def image_resize(image, width = None, height = None, inter = cv2.INTER_AREA):
# initialize the dimensions of the image to be resized and
# grab the image size
dim = None
(h, w) = image.shape[:2]
# if both the width and height are None, then return the
# original image
... | null | crolo-web-testing/cypress/fixtures/non-transparent/resize_image.py | resize_image.py | py | 1,650 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.INTER_AREA",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_numb... |
151932185 | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | null | analysis/webservice/algorithms/doms/insitu.py | insitu.py | py | 3,294 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "webservice.algorithms.doms.config.getSchemaEndpoint",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "webservice.algorithms.doms.config",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 32,
"usage_type": "ca... |
214318516 | import socket
import time
from multiprocessing import Process, Queue, Value
import threading
import pickle
import mysql.connector as mysql
# configuration file
HOST = '127.0.0.1'
REQUESTS_PORT = 65439 #make it inside ports_dict?
ports_dict = {}
def update_server_database(changes):
print("inside update_server")
re... | null | server.py | server.py | py | 5,425 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "socket.socket",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "threading.T... |
169501918 | import curses
import os
from src.telegramApi import client
from src import npyscreen
class MessageInfoForm(npyscreen.ActionForm):
def create(self):
self.name = "Upload File (Press TAB)"
new_handlers = {
# exit
"^Q": self.exit_func,
155: self.exit_func,
... | null | src/MessageInfoForm.py | MessageInfoForm.py | py | 592 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "src.npyscreen.ActionForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "src.npyscreen",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "curses.ascii",
"line_number": 15,
"usage_type": "attribute"
}
] |
193942143 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
# real sense divece
#cap = cv2.VideoCapture(3)
#flags = [i for i in dir(cv2) if i.stratswith('COLOR_RGRG')]
#pinrt(flags)
while True:
ret,frame = cap.read()
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',frame)
cv2.imshow('gray',gray)
if c... | null | opencv/01web_camera/cvWebcam.py | cvWebcam.py | py | 401 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
... |
172516363 | from flask import Flask,render_template, request, url_for, redirect
from pymongo import MongoClient
from bson import ObjectId # For ObjectId to work
app = Flask(__name__)
#mongodb
client = MongoClient('mongodb://localhost:27017/') #uri
db = client.mywebsite_crud #database name
mongo = db.buku #collection
@app... | null | server.py | server.py | py | 2,082 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_temp... |
103312408 | # coding=utf-8
#导入需要使用的模块
#import itertools
import urllib
import sys,io
sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='utf-8')#为了防止有时候输出产生中文乱码的问题
import requests
from lxml import etree
import json
from docx import Document
from docx.shared import Inches
from docx.oxml.ns import qn
from docx.shared import Pt
... | null | QSBK_Python_Spider.py | QSBK_Python_Spider.py | py | 3,298 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdout",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"li... |
242376379 | import requests
import hashlib
import json
import re
class Epay:
def __init__(self):
from service.util.pay.pay_config import get_config
config = get_config('易支付')
self.API = config['API']
self.ID = config['ID']
self.KEY = config['KEY']
self.JUMP_URL = 'you_retur... | null | service/util/pay/epay/common.py | common.py | py | 2,377 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "service.util.pay.pay_config.get_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.s... |
466000160 | import numpy as np
from skimage.io import imread, imshow
import matplotlib.pyplot as plt
from copy import copy
from math import pi, cos, sin
import time
'''
The pixel being looked at is the one that is in the middle. The ray will go both "back and forth".
'''
def restorate(img_data, pixel_radius = 40, directions = 40)... | null | carl/road_renovation_singlecore.py | road_renovation_singlecore.py | py | 3,476 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "copy.copy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 50,
... |
527344147 | import logging
import os
from typing import Optional
import click
import dagster._check as check
import uvicorn
from dagster._cli.utils import get_instance_for_service
from dagster._cli.workspace import (
get_workspace_process_context_from_kwargs,
workspace_target_argument,
)
from dagster._cli.workspace.cli_ta... | null | python_modules/dagit/dagit/cli.py | cli.py | py | 6,709 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 155,
"usage_type": "attribute"
},
{
"api_name": "dagster._utils.log.configure_loggers",
"line_number": 157,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 158,
"usage_type": "call"
},
{
"api_nam... |
133413342 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread('Test_Images/V2/img1.jpeg',0)
thr = 240
ret,thresh1 = cv.threshold(img,thr,255,cv.THRESH_BINARY)
ret,thresh2 = cv.threshold(img,thr,255,cv.THRESH_BINARY_INV)
ret,thresh3 = cv.threshold(img,thr,255,cv.THRESH_TRUNC)
ret,thresh4 = cv.... | null | Pi/Vision/simple.py | simple.py | py | 1,110 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"lin... |
487301536 | from django.db import models
class TaskStatus(models.TextChoices):
IN_PROGRESS = 'IN_PROGRESS'
DONE_SUCCESS = 'DONE_SUCCESS'
DONE_FAILED = 'DONE_FAILED'
class BookGenerationTask(models.Model):
task_status = models.CharField(
max_length=16,
choices=TaskStatus.choices
)
celery_... | null | app/models.py | models.py | py | 537 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.TextChoices",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_... |
606842343 | #!/usr/bin/env python
import datetime
import hashlib
import os
import os
import re
import sqlite3
import sys
import time
import timeit
from FileUtils import *
from datetime import datetime, date
from sys import platform as _platform
class DBFileListing:
def __init__(self, dblocation=None,local=False):
p... | null | DBToolsClass.py | DBToolsClass.py | py | 50,211 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"l... |
516209735 | from goose import Goose
from happynewsflash.extraction.models import Story
from happynewsflash.sentiment.classifier_framework import get_happy_probability
SENTIMENTS_THRESHOLD = 0.5
def find_sentiment(url):
goose = Goose()
article = goose.extract(url=url)
cleaned_article = article.cleaned_text
score ... | null | happynewsflash/extraction/importer/common.py | common.py | py | 800 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "goose.Goose",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "goose.extract",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "happynewsflash.sentiment.classifier_framework.get_happy_probability",
"line_number": 12,
"usage_type": "call"
}... |
264154889 | from rest_framework import serializers
from .models import Team
from player.models import Manager, Player
from player.serializers import ManagerFullSerializer, ManagerSerializer, RosterFullSerializer, RosterSerializer
from song.models import Song, Review
class TeamSerializer(serializers.HyperlinkedModelSerializer):
... | null | server/team/serializers.py | serializers.py | py | 2,124 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "player.serializers.ManagerSerializer",
"line_number": 9,
... |
235741037 | from django.shortcuts import render
from .serializers import LogSerializer
from rest_framework import generics
from .models import DeviceLogs
from django.conf import settings
from django.core.mail import send_mail
import smtplib
# Create your views here.
class Logs(generics.ListCreateAPIView):
queryset = DeviceLogs... | null | monitoring/api/views.py | views.py | py | 1,489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.DeviceLogs.objects.all",
"line_number": 10,
"usage_type": "ca... |
442560107 | from twilio.rest import TwilioRestClient
import twilio.twiml
from flask import Flask, request, redirect
import json
import re
import googlemaps
from datetime import datetime
gmaps = googlemaps.Client(key='AIzaSyAOHs5bYxYRWtFkBCOHAFkcS3-nrMd91BE')
app = Flask(__name__)
myDictionary = {}
listOfStarbucks = ["105 14th... | null | app.py | app.py | py | 6,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "googlemaps.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
594119042 | from django.shortcuts import render
from .forms import CommitForm
from django.contrib import messages
from django.urls import reverse
from .models import Commit
from django.contrib.auth.models import User
import random
import string
from django.core.cache import cache
from django.contrib.auth.decorators import login_re... | null | github/commit/views.py | views.py | py | 1,783 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "forms.CommitForm",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "st... |
1090824 | import grpc
from grpc.framework.common import cardinality
from grpc.framework.interfaces.face import utilities as face_utilities
import common_pb2 as common__pb2
import service_pb2 as service__pb2
class HelloWorldStub(object):
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Chann... | null | python/service_pb2_grpc.py | service_pb2_grpc.py | py | 1,292 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "common_pb2.Identifier",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "service_pb2.SayHelloToResponse",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "grpc.StatusCode",
"line_number": 27,
"usage_type": "attribute"
},
{
... |
570103371 | #!/usr/bin/python3
import db_connect
import json
client = db_connect.get_client()
test_db_name = "test"
db = client[test_db_name]
def expand_test_professors():
profs = db['professor'].find()
for prof in profs:
print(json.dumps(expand(prof), indent=4))
input()
def expand_test_courses():
co... | null | gateway_poc/gateway_poc/DB_PoC/query_db/expansion.py | expansion.py | py | 1,366 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "db_connect.get_client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
}
] |
542021589 | import logging
#log to file
#logging.basicConfig(filename = 'log.txt', level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s') #notice the 'string formating'
#log to screen
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s') #notice the 'string formating'
#di... | null | Projects/Intro_and_ATBSwPy/logging_examples.py | logging_examples.py | py | 1,091 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.disable",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL... |
639490532 | #!/usr/bin/env python
import subprocess
import locale
import json
from conf import conf
encoding = locale.getdefaultlocale()[1]
if conf['type'] == 'bareos':
command="echo show jobs | timeout %d bconsole -c %s | grep -i name | cut -d \'\"\' -f 2" % (conf['bconsole_wait'], conf['bconsole_conf_file'])
elif conf['t... | null | get-jobs.py | get-jobs.py | py | 823 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "locale.getdefaultlocale",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "conf.conf",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "conf.conf",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "conf.conf",
"line_numb... |
156065828 | from bs4 import BeautifulSoup
import requests
import pandas as pd
#Extract the text (if any) from a set of links
def gettext(urls, textlength):
finaltexts=pd.DataFrame()
for u in list(urls.values):
try:
#Get the website
res=requests.get(u[1])
... | null | geturltext.py | geturltext.py | py | 1,431 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"l... |
84380716 | import unittest
# This has to occur post ClickTestCase
import click
from biolinkml.generators.jsonschemagen import cli
from tests import source_yaml_path
from tests.test_scripts.clicktestcase import ClickTestCase
class GenJSONSchemaTestCase(ClickTestCase):
testdir = "genjsonschema"
click_ep = cli
prog_na... | null | tests/test_scripts/test_gen_json_schema.py | test_gen_json_schema.py | py | 820 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.test_scripts.clicktestcase.ClickTestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "biolinkml.generators.jsonschemagen.cli",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tests.source_yaml_path",
"line_number": 20,
"usage_... |
5847776 | #!/usr/bin/env python
import numpy as np
import pandas as pd
import keras
import timeit
import copy
import gc
import scipy as sp
import cv2
import os
import random
import sys
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from keras.models import Sequential
from ker... | null | FacesKinship/kin_neural_network-VGGFace-vgg16.py | kin_neural_network-VGGFace-vgg16.py | py | 7,709 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.py_func",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.roc_auc_score",
"line_number": 35,
"usage_type": "argument"
},
{
"api_name": "tensorflow.double",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_n... |
165900793 |
import numpy as np
import argparse
import logging
import scipy
import os, glob
from matplotlib import pyplot
import matplotlib as mpl
import matplotlib.pyplot as plt
from constants import k
from IPython import embed
import math
import sys
from whamutils import get_negloghist, extract_and_reweight_data
from work_... | null | scratch/protein_analysis/wham_ni_v_phi.py | wham_ni_v_phi.py | py | 4,380 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "work_managers.environment.default_env.add_wm_args",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "work_managers.environment.default_env",
"line_number": 35,
"usa... |
44842438 | # Copyright (c) 2015 Cloudera, Inc. All rights reserved.
# Validates table stored on the LocalFileSystem.
#
import pytest
from subprocess import check_call, call
from tests.common.impala_test_suite import ImpalaTestSuite
from tests.common.skip import SkipIf
from tests.common.test_dimensions import create_single_exec_o... | null | tests/query_test/test_multiple_filesystems.py | test_multiple_filesystems.py | py | 2,326 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.common.impala_test_suite.ImpalaTestSuite",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tests.common.test_dimensions.create_single_exec_option_dimension",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_numbe... |
178029186 | import base64
import os
from werkzeug import secure_filename
from werkzeug.datastructures import FileStorage
from wtforms import SubmitField
from flask_wtf.file import FileField, FileRequired, FileAllowed
from flask_wtf import FlaskForm
from app import application
from .helpers import *
from .config import *
from flask... | null | code/app/routes.py | routes.py | py | 5,352 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask_wtf.file.FileField",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_wtf.file.FileRequired",
"line_number": 20,
"usage_type": "call"
},
{
"api_name... |
610462861 | import numpy as np
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import systems_fun as sf
from scipy.integrate import solve_ivp
import os
def saveHeteroclinicsDataAsTxt(HeteroclinicsData, pathToDir, fileName ):
"""
(i, j, a, b, r, dist)
"""
if HeteroclinicsData:
header... | null | plotFun.py | plotFun.py | py | 6,477 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.savetxt",
"line_num... |
296340451 | from typing import TYPE_CHECKING
from rotkehlchen.chain.evm.accounting.airdrop import BaseAirdropsAccountant
if TYPE_CHECKING:
from rotkehlchen.chain.evm.node_inquirer import EvmNodeInquirer
from rotkehlchen.user_messages import MessagesAggregator
class AirdropsAccountant(BaseAirdropsAccountant):
def _... | null | rotkehlchen/chain/arbitrum_one/modules/airdrops/accountant.py | accountant.py | py | 657 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rotkehlchen.chain.evm.accounting.airdrop.BaseAirdropsAccountant",
"line_number": 10,
"usage_type": "name"
}
] |
537851598 | # -*- coding:utf-8 -*-
import re
import copy
import sqlite3
import os
from util import *
def split_by_element(lyst, split_flg):
ret = []
cur_lyst = []
for x, b in zip(lyst, split_flg):
if b:
ret.append(cur_lyst)
cur_lyst = []
else:
cur_lyst.append(x)
... | null | parser_k.py | parser_k.py | py | 14,004 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "copy.deepcopy",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 5... |
396148333 | import time
import gevent
import pytest
from relay.network_graph.graph import CurrencyNetworkGraph
def link_graph(proxy, graph, full_sync_interval=None):
if full_sync_interval is not None:
proxy.start_listen_on_full_sync(_create_on_full_sync(graph), full_sync_interval)
proxy.start_listen_on_balance(... | null | tests/chain_integration/test_graph_integration.py | test_graph_integration.py | py | 3,519 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "relay.network_graph.graph.CurrencyNetworkGraph",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "relay.network_graph.graph.CurrencyNetworkGraph",
"line_number": 54,
"usage_... |
602671035 | import logging
import scrapelib
from document import Document, get_new_urls
from .base_scraper import BaseScraper
from lxml import html
from concurrent.futures import ThreadPoolExecutor
from urllib.parse import urljoin
from utils import ensure_absolute_url
# Logger object for this module
log = logging.getLogger(__nam... | null | bidwire/scrapers/boston_notice_scraper.py | boston_notice_scraper.py | py | 3,237 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "base_scraper.BaseScraper",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "scrapelib.Scraper",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "concurre... |
526941802 | #------------------------------------------------------------------------------
# Name: eMAS (SEAC4RS) vs. MODIS & Aeronet Plotting
# Description: NASA Aerosol Project
#
# Author: Robert S. Spencer
#
# Created: 6/28/2016
# Python: 3.5
#---------------------------------------------------------------... | null | eMAS_vs_Aeronet/eMAS_Aeronet_Plotting_Individual_Merged.py | eMAS_Aeronet_Plotting_Individual_Merged.py | py | 3,288 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
78446758 | '''
Function:
Multi-head Attention Module
Author:
Zhenchao Jin
'''
import torch
import torch.nn as nn
from ..dropout import BuildDropout
'''Multi-head Attention'''
class MultiheadAttention(nn.Module):
def __init__(self, embed_dims, num_heads, attn_drop=0., proj_drop=0., dropout_cfg=None, batch_first=False... | null | ssseg/modules/backbones/bricks/transformer/mha.py | mha.py | py | 2,088 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.MultiheadAttention",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
379292006 | import json
from . import url
from . import user
class Message:
def __init__(self, url, time, user, message, pm, data):
"""
:param url: A URL, this essentially points to a protocol and channel/host
:param time: The time this message was recieved or sent
:param user: The user this m... | null | pyfork/message.py | message.py | py | 1,053 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
}
] |
262987850 | from rest_framework import response
from ..models import PurchaseOrder, PurchaseOrderItem
from ..serializers import PurchaseOrderSerializer
from ..forms import PurchaseOrderForm, PurchaseOrderItemForm
from .base_viewset import BaseViewSet
class PurchaseOrderViewSet(BaseViewSet):
queryset = PurchaseOrder.objects.al... | null | stock_manager/viewsets/purchase_order_viewset.py | purchase_order_viewset.py | py | 1,102 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base_viewset.BaseViewSet",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.PurchaseOrder.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.PurchaseOrder.objects",
"line_number": 8,
"usage_type": "attribute"
},
... |
318516216 | from django.conf import settings
from django.conf.urls.static import static
from . import views
from django.urls import path
urlpatterns = [
path('', views.index, name='acount/index'), #Редактирование профиля
path('hotels/', views.hotels, name='acount/hotels'), #... | null | acount/urls.py | urls.py | py | 1,424 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
575019561 | import unittest
from django.core.urlresolvers import reverse
from django.test import Client
from .models import Provider
from django.contrib.auth.models import User
from django.contrib.auth.models import Group
from django.contrib.contenttypes.models import ContentType
def create_django_contrib_auth_models_user(**kwar... | null | wheresyourtrash/apps/email2sms/tests.py | tests.py | py | 2,233 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.models.User.objects.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": ... |
126633108 | # -*- coding: utf-8 -*-
import scrapy
from ..items import SlickscraperItem
from datetime import date
class SlickdealsSpider(scrapy.Spider):
name = 'slickdeals'
allowed_domains = ['slickdeals.net']
start_urls = ['http://www.slickdeals.net/']
def parse(self, response):
items=SlickscraperItem()
... | null | slickscraper-SQLite/slickscraper/spiders/slickdeals.py | slickdeals.py | py | 1,045 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "items.SlickscraperItem",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime... |
201287217 | from recognize import recognize
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.select import Select
import openpyxl, os, re, sys, time
RunFromIDLE = None # True если скрипт запущен из IDLE
... | null | SIpON addr/SIpONaddr headless No Captcha.py | SIpONaddr headless No Captcha.py | py | 12,598 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 23,
"usage_type": "call"
},
{... |
160851203 | import time
import cv2
# source of video output
camera = cv2.VideoCapture("conv2B test3.avi")
# camera = cv2.VideoCapture("vtest.avi")
# camera = cv2.VideoCapture(0)
# background subtraction method---- MOG2
bs = cv2.createBackgroundSubtractorMOG2(history=250, detectShadows=True)
# Duration of screen to sleep mode (... | null | Store image Simple_object_detection_with_MOG.py | Store image Simple_object_detection_with_MOG.py | py | 4,376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.createBackgroundSubtractorMOG2",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.getStructuringElement",
"line_number": 17,
"usage_type": "call"
},
{
"api_... |
403019223 | from django.test import TestCase
from rest_framework.test import APIClient
from django.core.urlresolvers import reverse
from .models import Company
class CompanyTest(TestCase):
def setUp(self):
self.client = APIClient()
def test_api_can_create_team(self):
old_count = Team.objects.count()
... | null | api/companies/tests.py | tests.py | py | 652 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.test.APIClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 17,
"usage_type": "call"
}
] |
455006682 | # Problem [5656] : [모의 SW 역량테스트] 벽돌 깨기
from collections import deque
from copy import deepcopy
import sys
sys.stdin = open('input.txt')
dx = [-1, 0, 1, 0]
dy = [0, 1, 0, -1]
def BFS(n, arr):
copy_Arr = deepcopy(arr)
queue = deque()
for i in range(H):
if copy_Arr[i][n]:
if copy_Arr[i][n... | null | SWEA/SW_TEST/SWEA_5656/SWEA_5656.py | SWEA_5656.py | py | 1,893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
}
] |
420465578 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from sklearn import neighbors
from sklearn import gaussian_process
# Import dataset
data = pd.read_csv('datasetA.csv', header=None)
data = data.as_matrix()
L1,L2 = data.shape
L2... | null | knn-GP-model.py | knn-GP-model.py | py | 2,394 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.aran... |
480646478 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from flask import Flask
from flask import render_template
import pymysql
app = Flask(__name__,template_folder='app/templates')
#主页
@app.route('/', methods=['GET', 'POST'])
def index():
conn = pymysql.connect(host='127.0.0.1', user='root', password='123456', db='stu... | null | app.py | app.py | py | 802 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_templa... |
306694471 | #!/usr/bin/env python3
# -*-coding: utf-8-*-
# Author : Chris
# Blog : http://blog.chriscabin.com
# GitHub : https://www.github.com/chrisleegit
# File : server.py
# Date : 16-7-12
# Version: 0.1
# Description:
import socketserver, time
from datetime import datetime
class RequestHandler(socketserver.BaseReques... | null | ch12/socketserver/server.py | server.py | py | 951 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "socketserver.BaseRequestHandler",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_... |
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