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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
56500142 | from django.urls import path, include
from .views import cart_update, cart, cart_delete, checkout_home, checkout_done
urlpatterns = [
path('update/<slug:slug>/', cart_update, name='cart_update'),
path('delete/<slug:slug>/', cart_delete, name='cart_delete'),
path('checkout/', checkout_home, name='checkout')... | null | carts/urls.py | urls.py | py | 420 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.cart_update",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.cart_delet... |
353490385 | """
Serializers for Django Rest Framework
"""
import re
import json
from dateutil import parser
from collections import OrderedDict
from rest_framework import serializers
from django.core.exceptions import ValidationError
from django.utils.translation import ugettext as _
from proctoring.models import (Exam, Archive... | null | proctoring/serializers.py | serializers.py | py | 9,749 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ReadOnlyField",
"line_number": 24,
... |
160944659 | # flake8: noqa
"""
Copyright 2020 - Present Okta, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | null | okta/models/theme.py | theme.py | py | 6,683 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "okta.okta_object.OktaObject",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "okta.models.email_template_touch_point_variant.EmailTemplateTouchPointVariant",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "okta.models.email_template_touch_p... |
447445390 | import cv2
import numpy as np
import math
import Main
import random
import Przedproces
import WykrywanieZnakow
import MozliwaTablica
import MozliwyZnak
# STALE GLOBALNE MODULU #############################
SZEROKOSC_WSPOLCZYNNIKA_WYPELNIENIA_TABLIC = 1.3
WYSOKOSC_WSPOLCZYNNIKA_WYPELNIENIA_TABLIC = 1.5
###############... | null | WykrywanieTablic.py | WykrywanieTablic.py | py | 8,640 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_numb... |
363890785 | import xlwt,random,string
file = xlwt.Workbook() # 注意这里的Workbook首字母是大写
table = file.add_sheet('sheet 1') # 新建一个sheet
for _ in range(0,5000):
table.write(_,0,_) # 写入数据table.write(行,列,value)
table.write(_,1,''.join(random.sample(string.ascii_letters+string.digits, 8)))
# 如果对一个单元格重复操作，会引发
# returns er... | null | addData.py | addData.py | py | 632 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xlwt.Workbook",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
... |
542573433 | import logging
import webapp2
from frameworks.WebContainer import StandardPage
from google.appengine.ext.webapp import template
from app.wrapper import url_inject
import json
from app.timesheet.TimeSheet import TimesheetEntry
from app.Person import Person
from admin.utils import KnownError
import csv
class TimeSheetHo... | null | src/timesheet_app.py | timesheet_app.py | py | 4,088 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "frameworks.WebContainer.StandardPage",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.webapp.template.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.webapp.template",
"line_number": 15,
... |
566830072 | from sklearn.preprocessing import StandardScaler, MinMaxScaler, minmax_scale
import numpy as np
import pandas as pd
stdscaler = StandardScaler()
minmax_scaler = MinMaxScaler()
"""
함수의 파라미터에 -1이 들어가면 특별한 의미를 갖는데, 다른 나머지 차원 크기를 맞추고 남은 크기를 해당 차원에 할당해 준다는 의미입니다
>> arr = np.zeros(64,64,3) # 64 * 64 size image with RGB chann... | null | DATE_18_7_11/Scikit_Learn/Scikit_Learn_Min_Max_Scaling.py | Scikit_Learn_Min_Max_Scaling.py | py | 1,305 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
... |
219600785 | # server.py - leader election server
import logging
import sys
import gevent
from gevent.pool import Pool
import zerorpc
class NullElection(object):
def __init__(self, addr, config_file='config'):
self.addr = addr
self.up = []
self.servers = []
f = open(config_file, 'r')
... | null | bully_election_algorithm.py | bully_election_algorithm.py | py | 7,538 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zerorpc.Client",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_... |
489780932 | # importe as bibliotecas
from suaBibSignal import *
import numpy as np
import sounddevice as sd
import matplotlib.pyplot as plt
from sklearn import preprocessing
from scipy import signal
import soundfile as sf
import time
data, samplerate = sf.read("rilrilril.wav")
dados = []
for i in data:
dados.append(i[0])
m... | null | Projeto 8/encode_versaoAlunos.py | encode_versaoAlunos.py | py | 1,764 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "soundfile.read",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.signal.kaiserord",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
... |
400884471 | from functools import reduce
def normalize(name):
return name.capitalize()
# 测试:
L1 = ['adam', 'LISA', 'barT']
L2 = list(map(normalize, L1))
print(L2)
def prod(L):
def fn(x, y):
return x * y
return reduce(fn, L)
print('3 * 5 * 7 * 9 =', prod([3, 5, 7, 9]))
CHAR_TO_FLOAT = {
'0': 0,
'1': ... | null | basic/Execrise.py | Execrise.py | py | 1,614 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.reduce",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 45,
"usage_type": "call"
}
] |
591481460 | import wget
import sys
import os
from fbchat import Client
from fbchat.models import *
from getpass import getpass
print("""
----------------------------------------------
FBCID (Facebook Conversation Image Downloader)
----------------------------------------------
""")
email = str(input('Enter email: '))
pswd = getp... | null | fbcid.py | fbcid.py | py | 1,798 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "getpass.getpass",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fbchat.Client",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
182294121 | import sys
import os
import os.path
import lib.cnn.matnpyio as io
#import lib.cnn.cnn as cnn
import lib.cnn.matnpy as matnpy
import tensorflow as tf
import numpy as np
#from math import ceil
#import random
from sklearn.model_selection import train_test_split
#from sklearn.model_selection import StratifiedKFold
imp... | null | main_covar.py | main_covar.py | py | 7,520 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "lib.cnn.matnpyio.get_dico_area_to_cortex",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "lib.cnn.matnpyio",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "... |
486562121 | """ See http://inform-fiction.org/zmachine/standards/z1point1/index.html for a definition of the Z-Machine
See README.md for a summary of architecture
"""
import random
import os
import json
from zmachine.memory import Memory,BitArray
from zmachine.text import ZText
from zmachine.dictionary import Dictionary
from... | null | zmachine/interpreter.py | interpreter.py | py | 48,382 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.urandom",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "zmachine.memory.Memory",
"l... |
231990969 | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 14 22:18:42 2017
@author: elara
"""
import platform
import os
import pandas as pd
from datetime import datetime
import itertools
from pandasql import sqldf
import math
import multiprocessing
pysqldf = lambda q: sqldf(q, globals())
if platform.system() == 'Linux':
ma... | null | 7_split_corpus/old/splitcorpus_alland2016.py | splitcorpus_alland2016.py | py | 9,660 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandasql.sqldf",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line... |
3648667 | from __future__ import print_function
from __future__ import division
import os
import sys
sys.path.append('../scripts')
import numpy as np
import xarray as xr
import timeit
import warnings
warnings.filterwarnings("ignore")
from analysis_functions import add_datetime_info
from fit_coeff_rhc_functions import fit_cld_pro... | null | fig2_fit_coeff/linear_coeff_and_rhc_profile.py | linear_coeff_and_rhc_profile.py | py | 4,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
367545554 | import serial
import time
import odrive
import os
import plan
import vision
serial_is_connected = 0
begin_time = 0
pneumatic_states = [0, 0, 0, 0, 0]
pneumatic_table = [['a', 'A'],['b', 'B'],['c', 'C'],['d','D'],['e', 'E']]
last_rotate_states = 'abcd'
try:
ser = serial.Serial('/dev/ttyUSB0',115200)
... | null | cv/hardware.py | hardware.py | py | 12,042 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "odrive.find_any",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numbe... |
155508855 | import pytest
from uuid import UUID
from opentrons import types
@pytest.fixture
async def test_setup(async_server, async_client):
hw = async_server['com.opentrons.hardware']._backend
hw._attached_instruments[types.Mount.LEFT] = {
'model': 'p10_single_v1', 'id': 'fake10pip'}
hw._attached_instrumen... | null | api/tests/opentrons/server/test_calibration_check.py | test_calibration_check.py | py | 5,308 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "opentrons.types.Mount",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "opentrons.types",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "opentrons.types.Mount",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": ... |
548547750 | import random
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
# Adapted from DQN Pytorch tutorial
# See: https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html#replay-memory
# and https://pytorch.org/tutorials/beginner/blitz/neural_netwo... | null | hw3a_afausti2/dqn.py | dqn.py | py | 2,138 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear"... |
225261604 | import face_recognition
import cv2
import os
import pickle
print(cv2.__version__)
Encodings = []
Names = []
#image_dir ='/home/jetson/Desktop/pyPro/faceRecognizer/demoImages/known'
image_dir ='/home/jetson/Desktop/pyPro/faceRecognizer/demoImages/Data'
for root, dirs, files in os.walk(image_dir):
print(files)
... | null | faceRecognizer/test.py | test.py | py | 1,349 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.__version__",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
133997921 | from django.shortcuts import render, get_object_or_404
from .models import MenuItem, Tartalom, Feladat, Kepek, Tematika, HomeItem
def home(request):
menu_list = MenuItem.objects.order_by('order')
home_list = HomeItem.objects.order_by('order')
context_dict = {
'menu_list': menu_list,
'activ... | null | django/pylvax_app/views.py | views.py | py | 3,164 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.MenuItem.objects.order_by",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.MenuItem.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.MenuItem",
"line_number": 6,
"usage_type": "name"
},
{
"api_na... |
450727634 | from flask import jsonify, request
from flask_login import login_required, current_user
from sqlalchemy import desc, asc
from SpaceDock.objects import *
from SpaceDock.formatting import game_info, game_version_info
from SpaceDock.common import with_session, edit_object
from flask_json import FlaskJSON, JsonError, json_... | null | SpaceDock/endpoints/game.py | game.py | py | 4,721 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.desc",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask_json.as_json",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask_json.as_json",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "SpaceDock.forma... |
103275410 | import logging
import os
import json
from typing import List, TextIO, Union
from seqeval.metrics.sequence_labeling import get_entities
from utils_entity import InputExample, Split, EntityClassificationTask
logger = logging.getLogger(__name__)
class NER(EntityClassificationTask):
def __init__(self, label_idx=-1)... | null | tasks_entity.py | tasks_entity.py | py | 7,809 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils_entity.EntityClassificationTask",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "u... |
42848728 | import matplotlib.pyplot as plt
import math
import random
import numpy as np
import matplotlib.pyplot as plt
T_init = 2 # 初始最大温度
alpha = 0.95 # 降温系数
T_min = 1e-3 # 最小温度，即退出循环条件
def obj(x):
y = np.sin(10 * np.pi * x) / x
return -y
def SA(T_init, alpha, T_min):
T = T_init
x_new = random.random() * 1... | null | SwarmIntelligence/SimulatedAnnealing.py | SimulatedAnnealing.py | py | 1,782 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "random.random",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_numbe... |
606855675 | import pickle
import cv2
import numpy as np
import math
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.image as mpimg
import glob
import os
from moviepy.editor import VideoFileClip, ImageSequenceClip
def grayscale(img):
'''
Convert img to grayscale
'''
return ... | null | labutils.py | labutils.py | py | 8,700 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint8",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"lin... |
99422089 | import os
from typing import Optional
from meiga import Error, Result, isSuccess
from meiga.decorators import meiga
from alice import Auth, Config, Onboarding
@meiga
def get_user_id_from_onboarding(
api_key, verbose: Optional[bool] = False
) -> Result[str, Error]:
config = Config(api_key=api_key, verbose=ve... | null | examples/auth.py | auth.py | py | 1,310 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "alice.Config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "alice.Onboarding.from_config",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "alice.Onboa... |
477585302 | import os
import sqlite3
from flask import Flask, request, session, g, redirect, url_for, abort, \
render_template, flash
from datetime import date
app = Flask(__name__)
app.config.from_object(__name__)
app.config.update(dict(
DATABASE=os.path.join(app.root_path, 'hyperstore.db'),
DEBUG=True,
SECRET... | null | database/web/hyperstore.py | hyperstore.py | py | 12,667 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request.form",
"line_n... |
556695184 | from absl import flags
from absl.flags import FLAGS
import numpy as np
# import tensorflow as tf
# from tensorflow.keras import Model
# from tensorflow.keras.layers import (
# Add,
# Concatenate,
# Conv2D,
# Input,
# Lambda,
# LeakyReLU,
# MaxPool2D,
# UpSampling2D,
# ZeroPadding2D,
... | null | old/yolov3-tf2/yolov3_tf2/models.py | models.py | py | 34,484 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
... |
556304161 | import numpy as np
import matplotlib.pyplot as plt
plt.xlabel("x")
plt.ylabel("y")
plt.axes().set_aspect("equal")
ax = plt.gca() # gca stands for 'get current axis'
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.spines['bottom'].set_position(('data',0... | null | log/syojyo/main.py | main.py | py | 796 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylabel",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matp... |
324129044 | # -*- coding:utf-8 -*-
import os
import sys
import time
try:
from winsound import Beep
executable_path='D:/chromedriver.exe'
except ImportError: #Not Windows, at Linux
def Beep(freq, duration):
os.system('play -nq -t alsa synth {} sine {}'.format(duration, freq))
executable_path='/usr/lib/chrom... | null | joonggonara_mobile.py | joonggonara_mobile.py | py | 6,675 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.executable",
"lin... |
202029131 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
import networkx as nx
import matplotlib.pyplot as plt
import math
from heapq import heappush, heappop
from itertools import count
# librerias propias
import mapas as m
def targetIncrease(G,listSource,listTarget):
"""Retorna una lista de nodos en un camino de uno o m... | null | proyecto/algoritmo planeacion redes inalambricas/increase.py | increase.py | py | 21,353 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "heapq.heappush",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "heapq.heappop",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "itertools.count",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "networkx.NetworkXNoPath"... |
640583843 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from PyQt5 import QtWidgets
# 使用命令pyuic5 ext4_form.ui -o form.py将ui文件转化为py文件
from ext4_form import Ui_QtWindow
# 通过同时继承QWidget和手动设计的Ui_QtWindow
class MyDesignerShow(QtWidgets.QWidget, Ui_QtWindow):
def __init__(self):
# 加载父类QWidget中的初始化内容
super(MyDesigne... | null | python/codeSnippet/PyQt/ext4_3.py | ext4_3.py | py | 624 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ext4_form.Ui_QtWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Py... |
266718404 | from math import sqrt
import sys
import argparse
def get_roots(a, b, c):
discriminant = b ** 2 - 4 * a * c
if discriminant < 0:
return None, None
root1 = (-b - sqrt(discriminant)) / (2 * a)
root2 = (-b + sqrt(discriminant)) / (2 * a)
if discriminant == 0:
return root1, None
e... | null | quadratic_equation.py | quadratic_equation.py | py | 1,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.sqrt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
}
] |
79880762 | __author__ = 'axc'
import yaml
import requests
from lxml.html import fromstring
hackery = yaml.load_all(open("hackery.yml", 'r'))
def is_online(url):
try:
r = requests.get(url, timeout=5)
return r.status_code
except Exception as e:
return e
def get_site_title(url):
try:
... | null | hackery.py | hackery.py | py | 1,620 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yaml.load_all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"li... |
496756559 | from django.conf.urls.defaults import *
from django.views.generic.simple import direct_to_template
from piston.resource import Resource
from api.handlers import ShortUrlHandler
shorturl_handler = Resource(ShortUrlHandler)
urlpatterns = patterns('',
url(r'^shorturl/create/', shorturl_handler),
url(r'^shorturl/ge... | null | url_shortener/api/urls.py | urls.py | py | 482 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "piston.resource.Resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "api.handlers.ShortUrlHandler",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.views.generic.simple.direct_to_template",
"line_number": 14,
"usage_type":... |
188829974 | #Definition for singly-linked list.
def timeit(method):
def timed(*args, **kw):
global calc
calc = defaultdict(int)
print ('===========')
ts = time.time()
result = method(*args, **kw)
te = time.time()
print ('%r %2.8f ms' % (method.__name__, (te - ts) * 1000... | null | lc/mdm/20190831_mdm_62_unique_paths.py | 20190831_mdm_62_unique_paths.py | py | 1,941 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 33,
"usage_type": "call"
}
] |
545158767 | # -*- coding: utf-8 -*-
#########################################################
import os, traceback, io, re
from . import logger
class ToolBaseFile(object):
@classmethod
def read(cls, filepath, mode='r'):
try:
import codecs
ifp = codecs.open(filepath, mode, encoding='utf8')
... | null | lib/tool_base/file.py | file.py | py | 1,816 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codecs.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
... |
610972882 | import torch
from discrete_nn.layers.type_defs import ValueTypes, DiscreteWeights
from discrete_nn.layers.logit_linear import LogitLinear
from discrete_nn.layers.local_reparametrization import LocalReparametrization
from discrete_nn.models.pi.real import PiReal
from discrete_nn.models.base_model import LogitModel
cla... | null | discrete_nn/models/pi/logit_tanh.py | logit_tanh.py | py | 4,689 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discrete_nn.models.base_model.LogitModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "discrete_nn.layers.type_defs.DiscreteWeights",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "discrete_nn.layers.type_defs.DiscreteWeights",
"line_num... |
505114645 | #!/usr/bin/env fades
import os
import json
import operator
import random
import unicodedata
import certg # fades >=5
RESULT_DIR = 'result'
PROCESSED_OK = 'ok'
PROCESSED_FLAG = "__processed__"
def cback(data):
"""Show progress."""
print(" ", data['progress'])
def generate_fronts(db):
"""Generate the... | null | art/generate_cards.py | generate_cards.py | py | 4,525 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "certg.process",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "certg.process",
"line_num... |
587572635 | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 13 19:14:11 2017
@author: gansc
"""
import glob
import random
import numpy as np
import cv2
import matplotlib.image as mpimg
import config
class ImageLoader(config.ConfigClass):
def __init__(self):
super().__init__()
def get_random(self, img_set... | null | images.py | images.py | py | 1,569 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.ConfigClass",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.image.imre... |
103440487 | import sys,json
# reading input
with open(sys.argv[1], 'r') as f_read:
dfa_data = json.load(f_read)
states = dfa_data['states']
sybmols = dfa_data['letters']
trans_fxn = dfa_data['transition_function']
start_states = dfa_data['start_states']
end_states = dfa_data['final_states']
new_start_state =... | null | q3/q3.py | q3.py | py | 4,824 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 144,
"usage_type": "attribute"
},
{
"api_name": "json.dump",
"line_number": 1... |
329816101 | ### Given an array of strings, group anagrams together.
### For example, given: ["eat", "tea", "tan", "ate", "nat", "bat"],
### Return:
### [
### ["ate", "eat","tea"],
### ["nat","tan"],
### ["bat"]
### ]
### Note: All inputs will be in lower-case.
from operator import mul
from itertools import groupby
clas... | null | 49-group-anagrams.py | 49-group-anagrams.py | py | 1,546 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "operator.mul",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "itertools.groupby",
"line_number": 54,
"usage_type": "call"
}
] |
10038745 | import asyncio
from contextlib import asynccontextmanager
import pytest
from mitmproxy.addons.clientplayback import ClientPlayback
from mitmproxy.addons.clientplayback import ReplayHandler
from mitmproxy.addons.proxyserver import Proxyserver
from mitmproxy.connection import Address
from mitmproxy.exceptions import Co... | null | test/mitmproxy/addons/test_clientplayback.py | test_clientplayback.py | py | 6,100 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.start_server",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "contextlib.asynccontextmanager",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "mitmproxy.connection.Address",
"line_number": 17,
"usage_type": "name"
},
{
"... |
404457255 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the BSD 3-Clause License (the "License");
# you may n... | null | PyTorch/contrib/cv/classification/EfficientNet-B3/tools/train_net.py | train_net.py | py | 3,783 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.__version__",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "torch.distribu... |
590753890 | import os
import tensorflow as tf
from absl import flags as absl_flags
from keras import backend as K
from keras.models import model_from_json
WORKING_DIR = os.getcwd()
try:
tf.app.flags.DEFINE_integer('training_iteration', 1000, 'number of training iterations.')
tf.app.flags.DEFINE_integer('model_version', ... | null | examples/export_keras_model.py | export_keras_model.py | py | 1,772 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.app.flags.DEFINE_integer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.app",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tens... |
182514363 | #coding: utf-8
#!/usr/bin/python3
import sys
import os
import numpy as np
import matplotlib.pyplot as plt
#Load simulation name and path
if (len(sys.argv) > 3) :
print('Too much argument')
sys.exit()
elif (len(sys.argv) == 1):
print('Use default path and default simulation name')
path = '.'
simula... | null | postprocessing/sCourbe.py | sCourbe.py | py | 1,908 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17... |
14633162 | import traceback
from configparser import ConfigParser
class Database:
@classmethod
def get_properties(cls, dbname):
filename = dbname + '.ini'
cp = ConfigParser()
try:
cp.read(filename, encoding='utf-8')
except FileNotFoundError:
print('Warning: {filena... | null | Facade/pagemaker.py | pagemaker.py | py | 2,141 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"line_number": 63,
"usage_type": "call"
}
] |
301553899 | # USAGE
# python neural_style_transfer_video.py --models models
# import the necessary packages
from imutils.video import VideoStream
from imutils import paths
import itertools
import argparse
import imutils
import time
import cv2
def overlay_image_alpha(img, img_overlay, pos, alpha_mask):
"""Overlay img_overlay ... | null | neural-style-transfer/neural_style_transfer_video.py | neural_style_transfer_video.py | py | 4,216 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "imutils.paths.list_files",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "imutils.p... |
71649917 | # coding=utf-8
#
# Copyright 2013-2015 david reid <zathrasorama@gmail.com>
#
# 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 requir... | null | pywind/ofgem/Station.py | Station.py | py | 4,641 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.version_info",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pywind.ofgem.Base.set_attr_from_xml",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pywind.ofgem.Base.set_attr_from_xml",
"line_number": 70,
"usage_type": "call"
... |
430566984 | import sys
import argparse
from itertools import izip
from collections import defaultdict
from csplit import csplit
def main():
parser = argparse.ArgumentParser(description='Train alignment models')
parser.add_argument('corpus', help='original corpus')
args = parser.parse_args()
with open(args.corpus)... | null | hw1/uncsplit.py | uncsplit.py | py | 1,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "itertools.izip",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "collections.defa... |
604673180 | from __future__ import absolute_import, unicode_literals
from celery import group
from .celery import app
import time
@app.task
def task1(duration):
time.sleep(duration)
# print('async task1 finished')
@app.task
def task2(duration):
# print('async task 2 triggered')
job = group(task3.s(2 * duratio... | null | celery/periodic_task_async_multiqueue/task_async.py | task_async.py | py | 615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "celery.app.task",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "celery.app",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "celery.group",
"line_num... |
134266429 | import pygame,pygame.locals
pygame.init()
screen = pygame.display.set_mode((400,300))
loop = True
while loop:
for e in pygame.event.get():
if e.type == pygame.KEYDOWN:
if e.key == pygame.K_ESCAPE:
loop = False
pygame.quit()
| null | lw/yoyoyo.py | yoyoyo.py | py | 262 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.event.g... |
515969756 | from flask import Flask
from flask import request
app = Flask(__name__)
@app.route('/')
def index():
return '<h1>Hello World<h1>'
@app.route('/user/<name>')
def user(name):
#al importar el objeto request podemos obtener atributos de este
#en esta sentencia request es una variable global
user_agent = r... | null | hello.py | hello.py | py | 555 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.headers.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask... |
237636656 | import torch
import torch.nn as nn
class SEBlock(nn.Module):
def __init__(self, channel, reduction=16):
super().__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.se = nn.Sequential(
nn.Linear(channel, channel // reduction),
nn.PReLU(),
nn.Linear(c... | null | projects/vision/blocks.py | blocks.py | py | 541 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.AdaptiveAvgPool2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
282450431 | from django.urls import path
from django.views.generic import TemplateView
from django.views.generic.base import RedirectView
#Users
from users.views import Loginv, Logout, createAccaunt
#Mall
from mall.views import StoreCreate, storesChoices, ProductCreate, TypeChooseOrCreate, storeMain, productsPaginateView, prod... | null | openproject/appsurls.py | appsurls.py | py | 1,937 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "users.views.Logout",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.views... |
463003848 | ################################################################################################################################
# $Id$
################################################################################################################################
#
# Copyright (c) 2012; Mark Rogaski.
#
# All right... | null | umami/forms/player.py | player.py | py | 4,033 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelChoiceField",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "uma... |
557324661 | import os
import json
from redis import Redis
from circuitbreaker import circuit
REDIS_HOST = os.getenv('REDIS_HOST')
REDIS_DB = int(os.getenv('REDIS_DB'))
class ClienteRedis:
def __init__(self):
self.con = Redis(
host=REDIS_HOST,
db=REDIS_DB,
socket_connect_timeout=2,... | null | services/autenticacao/autenticacaoapp/cliente_redis.py | cliente_redis.py | py | 1,027 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
... |
478406247 | import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0.1, 100)
plt.title("time complexity")
plt.scatter(x, x * (np.log2(x)), s=0.5, alpha=0.5, label='O(n*logn)') # O(nlogn) 时间复杂度
plt.scatter(x, x, s=0.5, alpha=0.5, label='O(n)') # O(nlogn) 时间复杂度
plt.scatter(x, x * x, s=0.5, alpha=0.5, label='O(n²)') # ... | null | 画图/SortTimeXY.py | SortTimeXY.py | py | 397 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.arange",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot... |
288439014 | # -*- coding: utf-8 -*-
"""
Created on Sun May 27 22:45:44 2018
@author: devyash
"""
# Multiple Linear Regression
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('50_Startups.csv')
X = dataset.iloc[:, :-1].v... | null | regression/Multiple Linear Regression/My_multiple_linear_regression.py | My_multiple_linear_regression.py | py | 2,434 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 23,
"usage_type": "call"
},
{... |
402313058 | from datetime import datetime
from .BaseMatcher import BaseMatcher
import pytz
import re
class TimezoneMatcher(BaseMatcher):
name = 'timezone'
timezones = {
'MARK': pytz.timezone('US/Hawaii'),
'UTC': pytz.timezone('UTC'),
'SIMON': pytz.timezone('Europe/London'),
'KEITH': pytz... | null | matchers/TimezoneMatcher.py | TimezoneMatcher.py | py | 2,040 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "BaseMatcher.BaseMatcher",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pytz.timezone",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
... |
156558096 | """Bookmanager URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | null | Bookmanager/urls.py | urls.py | py | 8,103 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
467599133 | from django.http import HttpResponseRedirect
from django.contrib import messages
from django.shortcuts import render
from django.urls import reverse
from django.utils.safestring import mark_safe
from django.core.mail import EmailMessage
from django.contrib.auth.models import User
from .forms import EventForm
from .uti... | null | otc/app/views.py | views.py | py | 11,965 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.date.today",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "django.utils.safestring.mark_safe",
"line_number": 34,
"usage_type": "call"
},
{
"api_name... |
16937363 | import cv2
class _VideoCapture:
def __init__(self, video_source=0):
self.video = cv2.VideoCapture(video_source)
if not self.video.isOpened():
raise ValueError('Unable video source', video_source)
print(video_source)
# self.width = 700 # self.video.get(cv2.CAP_PROP_FRAME_... | null | _VideoCapture.py | _VideoCapture.py | py | 779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 21,
"usage_type": "attribute"
}
] |
317058308 | from pyecharts import Geo
keys = ['上海', '北京', '合肥', '哈尔滨', '广州', '成都', '无锡', '杭州', '武汉', '深圳', '西安', '郑州', '重庆', '长沙', '贵阳', '乌鲁木齐']
values = [4.07, 1.85, 4.38, 2.21, 3.53, 4.37, 1.38, 4.29, 4.1, 1.31, 3.92, 4.47, 2.40, 3.60, 1.2, 3.7]
geo = Geo("全国主要城市空气质量热力图", "data from pm2.5", title_color="#fff", title_pos="... | null | project/templates/myApp/forecast/map.py | map.py | py | 841 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyecharts.Geo",
"line_number": 6,
"usage_type": "call"
}
] |
441323566 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.new_game, name='new_game'),
url(r'^(\w+)$', views.index, name='index'),
url(r'^(\w+)/authenticate/', views.authenticate, name='authenticate'),
url(r'^(\w+)/register/', views.register, name='register'),
url(r'^(\w... | null | game/urls.py | urls.py | py | 710 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"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.co... |
114792927 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render,redirect
from .forms import *
from django.utils import timezone
# Create your views here.
def get_list(request):
if request.method=='POST':
form = FormToDo(request.POST)
if form.is_valid():
... | null | list/views.py | views.py | py | 931 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_nam... |
76811307 | import os
import sys
import warnings
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(BASE_DIR)
warnings.filterwarnings('ignore')
import argparse
import random
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from simpleAICV.detectio... | null | tools/test_detection_model.py | test_detection_model.py | py | 2,981 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
70488004 | from django.http import HttpResponse, Http404
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.db import transaction
from .models import *
from .forms import *
from peewee import DoesNotExist
# Create your views here.
# def welcome(request):
# ret... | null | jirani/views.py | views.py | py | 7,440 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "peewee.DoesNotExist",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.http.Http404",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "dja... |
226873293 | #在進行深度學習訓練模型之前，首先下載IMDb網路電影資料集
import urllib.request
import os
import tarfile
#匯入 urllib 模組，用於下載檔案
#匯入 os 模組，用於確認檔案是否存在
#匯入 tarfile 模組，用於解壓縮檔案
url = 'https://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz' #IMDb網路電影資料集的下載網址
filepath = 'IMDb/aclImdb_v1.tar.gz' #欲儲存檔案的位置與檔名
if not os.path.isfile(filepath): #如果系... | null | IMDb_1.py | IMDb_1.py | py | 6,415 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.request.urlretrieve",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib... |
166585927 | __author__ = "Nadimozzaman Pappo"
__github__ = "http://github.com/mnpappo"
"""
Just Testing using saved model.
"""
import numpy as np
import scipy.misc
from keras.models import model_from_json
# load some image to test
def load_and_scale_imgs():
img_names = ['data/cat.jpg', 'data/dog.jpg']
# resize img to 32x3... | null | cifar10_test.py | cifar10_test.py | py | 1,141 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.transpose",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.misc.misc.imresize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.misc.misc",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "scipy.m... |
86228070 | from pygame.sprite import Sprite
import random
class Pipe(Sprite):
def __init__(self,image,st):
super(Pipe,self).__init__()
self.pipe_down = image.pipe_down
self.pipe_up = image.pipe_up
self.down_rect = self.pipe_down.get_rect()
self.up_rect = self.pipe_up.get_rect()
... | null | pipe.py | pipe.py | py | 978 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 13,
"usage_type": "call"
}
] |
191053238 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 28 21:27:37 2017
@author: David Roberts
"""
import psycopg2
from configparser import ConfigParser
def config(filename='database.ini', section='postgresql'):
# create a parser
parser = ConfigParser()
# read config file
parser.read(filename)
# get s... | null | db_write.py | db_write.py | py | 3,310 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "psycopg2.DatabaseError",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name":... |
10289188 | from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
def clear_text(text):
stop_words = stopwords.words('english')
tokens = word_tokenize(text)
words = [word.lower() for word in tokens if word.isalpha()]
words = [w for w in words if not w in stop_words]
return words
| null | hadoop/python_functions/tweet_clean.py | tweet_clean.py | py | 311 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 7,
"usage_type": "call"
}
] |
504915928 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /Users/sogubaby/.virtualenvs/scrapy_middlewares/lib/python3.7/site-packages/scrapy_cabinet/libs/sle/extractor/TimeExtractor.py
# Compiled at: 2019-11-18 00:40:08
... | null | pycfiles/scrapy_cabinet-0.0.4.macosx-10.9-x86_64.tar/TimeExtractor.cpython-37.py | TimeExtractor.cpython-37.py | py | 3,446 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy_cabinet.libs.defaults.DATETIME_PATTERN",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "scrapy_cabinet.libs.defaults.DATETIME_PATTERN_XPATH",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 25,
"usag... |
410218207 | import serial
from math import *
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import time
ser= serial.Serial('/dev/ttyACM1') #collect data from Arduino
fig = plt.figure() #initialize 3d figure
ax = fig.add_subplot(111, projection='3d')
X = [] #empty arrays to gather data
Y = []
Z = []
now... | null | scanner.py | scanner.py | py | 1,452 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.time",
... |
621100820 | # -*- coding: utf-8 -*-
import chess
import chess.pgn
import datetime
class Stream:
"""
Managing methods for saving and reading games from files
"""
def readPGN(file):
"""
Read a game in PGN from a files and return the board of this game,the white name, the black name and the re... | null | save.py | save.py | py | 3,509 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "chess.pgn.read_game",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "chess.pgn",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "chess.pgn.Game",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "chess.pgn",
"li... |
536343916 | import numpy as np
from pycontrol import mat, ml
import matplotlib.pyplot as plt
import time
# true value
ar = 10.0
br = 5.0
cr = 2.0
N = 100
sigma = 0.5
np.random.seed(123)
def gen_dataset():
x_data = np.arange(0, N) / N
y_data = ar*x_data*x_data + br*x_data + cr + \
np.random.normal(scale=s... | null | docs/ml/Least_squares/Least_squares.py | Least_squares.py | py | 1,165 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal"... |
615169246 | from flor.transformer.visitors import get_change_and_read_set, LoadStoreDetector, StatementCounter
from flor.transformer.code_gen import *
from flor.transformer.utils import set_intersection, set_union, node_in_nodes
import copy
import astor
import os
class Transformer(ast.NodeTransformer):
static_key = 0
cla... | null | flor/transformer/__init__.py | __init__.py | py | 9,847 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "astor.to_source",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "flor.transformer.visito... |
340319316 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-x86_64/egg/show/utils.py
# Compiled at: 2013-09-27 03:40:37
from django.core.cache import cache
from django.utils import timezone
from show.mod... | null | pycfiles/jmbo_show-0.3.2-py2.7/utils.py | utils.py | py | 4,752 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "show.models.Show",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.core.cache.cache.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "... |
225844079 | #coding: utf8
from collections import namedtuple, OrderedDict as oDict
from sanic.exceptions import MethodNotSupported, NotFound
import re
add_slash = lambda uri: uri if uri.endswith('/') else '%s/' % uri
class Route(object):
class DefineError(Exception):
pass
HTTP_METHODS = set(['GET', 'POST', 'PU... | null | sweet_web/router.py | router.py | py | 7,952 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_... |
232129162 | #!/usr/bin/python3
import numpy as np
from sys import exit
from math import floor, ceil
import os.path as path
from pprint import pprint
import os, argparse, shutil
report = {}
def error(str):
if str in report:
report[str] += 1
else:
report[str] = 1
print(str)
print(line)
print()
... | null | filter_train_csv.py | filter_train_csv.py | py | 2,865 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "shutil.copy",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
600564232 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/6/7 16:42
# @Author : liugang9
# @Email : mlcc330@hotmail.com
# @File : getCPUInfo.py
# @Software: PyCharm
# @license: Apache Licence
# @contact: 3323202070@qq.com
import psutil
import os
from influxdb import InfluxDBClient
import time,math,random
... | null | src/practices/github/getCPUInfo.py | getCPUInfo.py | py | 984 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "psutil.Process",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "psutil.virtual_memory",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "psutil.cpu_percent",
... |
100412797 | import logging
from PySide2 import QtWidgets, QtCore
from PySide2.QtWidgets import QFileDialog
from shiboken2 import wrapInstance
import maya.OpenMaya as oM
import maya.OpenMayaUI as omUI
import maya.cmds as cmds
import pymel.core as pnc
import pymel.core.datatypes as dt
from pymel.core.system import Path
import rando... | null | Environment/src/scatter.py | scatter.py | py | 19,657 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "maya.OpenMayaUI.MQtUtil.mainWindow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "maya.OpenMayaUI.MQtUtil",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
165213368 | #!/usr/bin/env python3
"""This script does the following:
1. Counts the total number of words
2. Counts the number of unique words
3. Number of unique word occurrences"""
import logging
logging.basicConfig(level=logging.DEBUG, format=' %(asctime)s - %(levelname)s - %(message)s')
# logging.basicConfig(file... | null | Wk5_word_counter_lab2_Ravulcaba_ver.py | Wk5_word_counter_lab2_Ravulcaba_ver.py | py | 3,068 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
217639963 | import psycopg2
import sys
# Read in some data
data = """user1,manager\nuser2,worker\nuser3,worker\nuser4,manager\nuser5,exec"""
# Setup the database connection
conn = psycopg2.connect(dbname=sys.argv[1],host='127.0.0.1',port=int(sys.argv[2]))
cur = conn.cursor()
# Prepare the data for the roles table
rows = data.sp... | null | sql/do_inserts.py | do_inserts.py | py | 866 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "psycopg2.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
}
] |
77679911 | from handlerframe import get,post,parse_post_params,getQueryString,APIError,APIValueError,Page
from model import next_id,Blog,User,Comment
import time, re, hashlib, json
from aiohttp import web
from cookieutil import COOKIE_NAME,MAX_AGE,COOKIE_KEY,user2cookie
@get('/')
async def index(request):
blogs = await Blog.... | null | awesomeblog/www/handlers.py | handlers.py | py | 11,384 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "model.Blog.sql_select",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "model.Blog",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "handlerframe.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "model.Blog.find",
... |
418772896 | '''
Created on 03/05/2012
Este codigo es parte de Marcos -- ERP Software
Copyright (C) 2012 Eneldo Antonio Serrata Peralta. All rights reserved.
Marcos is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either ver... | null | marcos/views.py | views.py | py | 1,534 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.template.context.RequestContext",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.logout",
"line_number": 35,
"usage_t... |
255300685 | #coding:utf-8
from matplotlib import pyplot as plt
import numpy as np
import matplotlib.animation as animation
fig,ax=plt.subplots()
X=np.linspace(-2*np.pi,2*np.pi,1000,endpoint=True)
y1=np.sin(X)
y2=np.cos(X)
line,=plt.plot(X,y1,color='r',linestyle='--',linewidth=2,alpha=0.2,label='sin') #label表示添加标签
plt.plot(X,y2,col... | null | python/SMS/word.py | word.py | py | 1,475 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
... |
282095473 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from numpy.testing import assert_allclose
import numpy as np
import pytest
from astropy import units as u
from astropy.coordinates import SkyCoord
from astropy.tests.helper import assert_quantity_allclose
from astropy.utils.data import get_pkg_data_filena... | null | regions/shapes/tests/test_line.py | test_line.py | py | 3,785 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "astropy.utils.data.get_pkg_data_filename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits.getheader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 23,
"usage_type": "name"
},
{
... |
79463733 | from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit, Button
class AddLinkForm(forms.Form):
link = forms.CharField()
helper = FormHelper()
helper.form_action = '/links/getmytags'
helper.form_method = 'GET'
helper.add_input(Submit('Add link', 'A... | null | links_everywhere/forms.py | forms.py | py | 609 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
218287450 | """
Kwic Trader trading system
Created by:
Robert (Alex) Spangler
Plant City, FL, USA
Spring of 2021
"""
"""
NOTE:
cerebro.plot() only works with matplotlib 3.2.0
be sure to have this version installed.
"""
import backtrader as bt
import alpaca_backtrader_api as api
import pandas as pd
import environmentVars
import da... | null | backTest.py | backTest.py | py | 4,507 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "environmentVars.API_KEY",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "environmentVars.SECRET_KEY",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "backtrader.SignalStrategy",
"line_number": 51,
"usage_type": "attribute"
}... |
95397598 | #!/usr/bin/env python3
'''Current state: Main.py creates two csvs - stats.csv and games.csv.
These feed into the Jupyter Notebook. The jupyter notebook is good to go. Need to update
the loop below so it will loop through the entire season.'''
# Importing required modules
import time
import requests
import os
impor... | null | main.py | main.py | py | 2,811 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "player... |
272607254 | import os
from bs4 import BeautifulSoup
#first bulk: [5:9]
fix1 = ['viktor', 'kaisa'] # [7:11]
fix2 = ['ahri', 'anivia', 'annie', 'aphelios', 'ashe', 'aurelionsol', 'azir', 'blitzcrank', 'brand', 'caitlyn', 'corki', 'draven', 'elise', 'graves', 'heimerdinger', 'jhin', 'jinx', 'kalista', 'karma', 'karthus', 'kassadin',... | null | aram/aram.py | aram.py | py | 26,466 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
}
] |
47617964 | #!/usr/bin/env python3
#
# * --------------------------------------------------------------------------
# * Licensed under MIT (https://git.biohpc.swmed.edu/BICF/Astrocyte/chipseq_analysis/LICENSE.md)
# * --------------------------------------------------------------------------
#
'''Trim low quality reads and remove... | null | workflow/scripts/trim_reads.py | trim_reads.py | py | 4,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "argparse.Argu... |
225417507 | import utils
# Main method
def main():
url = utils.get_url()
output_path = utils.get_output_path()
audio_only = utils.get_audio_only()
if not audio_only:
video_quality = utils.get_stream_quality()
if audio_only:
stream_list = utils.list_streams(url, audio_only)
if not stre... | null | main.py | main.py | py | 1,879 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.get_url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.get_output_path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "utils.get_audio_only",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utils.get_strea... |
535455479 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import settings
class BaselineModel(nn.Module):
def __init__(self, **kwargs):
"""
Initialize new baseline model.
:keyword argument: hidden_size: int, number of hitten units.
"""... | null | models.py | models.py | py | 3,957 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.RNN",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number"... |
433841796 | from PySide2 import QtCore, QtGui, QtWidgets
from shiboken2 import wrapInstance
from maya import OpenMayaUI as omui
import pymel.core as pm
import pprint
def getNamespaces():
'''Return the root namespace and all namespace that are direct child of root.'''
currentNamespace = pm.namespaceInfo(curre... | null | rendering/remapMat/listClashingNames.py | listClashingNames.py | py | 3,212 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymel.core.namespaceInfo",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymel.core",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pymel.core.namespace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pymel.core",... |
124670699 | import locale
import re
from html.parser import HTMLParser
import feedparser
import database
from datetime import datetime
class FeedParser:
unique_field = "id"
locale.setlocale(locale.LC_ALL, "de_DE")
TAG_RE = re.compile(r'<[^>]+>')
hp = HTMLParser()
dateHandler = None
def __init__(self, co... | null | FeedParser.py | FeedParser.py | py | 1,784 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "locale.setlocale",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "html.parser.HTMLParser... |
101524149 | import socket
import win32api
import win32com
import win32con
import win32com.client
import time
from timeit import Timer
import argparse
import pyautogui
def click(x, y):
win32api.SetCursorPos((x, y))
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, x, y, 0, 0)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP... | null | psionic.py | psionic.py | py | 5,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "win32api.SetCursorPos",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "win32api.mouse_event",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "win32con.MOUSEEVENTF_LEFTDOWN",
"line_number": 15,
"usage_type": "attribute"
},
{
"api... |
435707816 | import pandas as pd
import numpy as np
import collections
import itertools
from sklearn import metrics
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
# =================
# Utility functions
# =================
def readin(filepath):
df = pd.read_csv(filepath, header=None)
... | null | assignment1/q2/q2_ref.py | q2_ref.py | py | 14,287 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_numbe... |
627432605 | import matplotlib
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt # Matlab-style plotting
import seaborn as sns
color = sns.color_palette()
sns.set_style('darkgrid')
import warnings
def ignore_warn(*args, **kwargs):
pass
warnings.warn = ignore_warn # ignore annoying warning (from sklea... | null | src/__init__.py | __init__.py | py | 6,445 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.color_palette",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "warnings.fil... |
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