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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6564816 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 30 10:52:46 2018
@author: sgb35
"""
from io import BytesIO
from picamera.array import PiRGBArray
from picamera import PiCamera
import picamera
from time import sleep
import numpy as np
##from skimage import data
from skimage.feature import blob_dog, blob_log, b... | null | Project_Code/camera_routines_2.py | camera_routines_2.py | py | 4,890 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "picamera.PiCamera",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "picamera.PiCamera",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "picamera.exc",
"li... |
219333778 | import time
from playsound import playsound
websites = [] #websites to be blocked#
ip = '127.0.0.1'
while True:
web = input('Enter a website you want to block. Type done to exit. ')
if web == 'done':
break
websites.append(web)
t = int(input('How long would you want to block these websites? (in s... | null | website_blocker.py | website_blocker.py | py | 684 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 30,
"usage_type": "call"
}
] |
46872610 | #Author
#Felice De Luca
#https://github.com/felicedeluca
import sys
import os
import pygraphviz as pgv
import networkx as nx
from networkx.drawing.nx_agraph import write_dot
from networkx.drawing.nx_agraph import read_dot as nx_read_dot
import math
import random
import vertexmanager
def get_bounding_box(G):
xm... | null | impred_layout_generator/modules/drawing_improvement/impred.py | impred.py | py | 2,408 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.nodes",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "vertexmanager.shiftVertex",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "networkx.get_node_attributes",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": ... |
233804653 | # 导入requests库
import requests
"""
ConnectionError异常，原因为网络问题（如DNS查询失败、拒绝连接等等...）
Requests.raise_for_status()抛出一个HTTPError异常，原因为HTTP请求返回了不成功的状态（如网页不存在，返回404）
Requests抛出一个Timeout异常，原因为请求超时
Requests抛出一个TooManyRedirects异常，原因为请求超过了设定的最大重定向次数
"""
"""
# requests方法。网络请求，如果返回结果是<200>,说明请求网址成功
# "http://bj.xiaozhu.com/" 北京小住... | null | zz_01.py | zz_01.py | py | 1,163 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
}
] |
151109156 | import pytest
import torch.nn
import librl.nn.core, librl.nn.classifier
import librl.task
import librl.train.train_loop, librl.train.classification
from . import *
###################
# GPU Based Tests #
###################
@pytest.mark.skipif(not torch.cuda.is_available(), reason="GPU tests require CUDA.")
def test... | null | tests/test_gpu.py | test_gpu.py | py | 1,113 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "librl.nn.core.nn.core.MLPKernel",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "librl.nn.core.nn",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "librl.nn.core",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "l... |
154089323 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$',views.load ),
url(r'^(?P<ware>[a-zA-Z]+)/$',views.tab, name = "tab"),
url(r'^(?P<ware>[a-zA-Z]+)/add/$',views.part_new, name = "part_new"),
url(r'^(?P<ware>[a-zA-Z]+)/info/(?P<elemID>[0-9]+)/$',views.inform, name = "inform"... | null | wareapp/urls.py | urls.py | py | 325 | python | en | code | null | code-starcoder2 | 76 | [
{
"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... |
409411440 | from .common import ln, BaseClient
from .errors import handle_rpc_errors
from datetime import datetime
import binascii
class LightningRPC(BaseClient):
# LIGHTNINGRPC
@handle_rpc_errors
def get_info(self):
response = self._ln_stub.GetInfo(ln.GetInfoRequest())
return response
@handle_rpc... | null | lndgrpc/lightning.py | lightning.py | py | 15,381 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.BaseClient",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "common.ln.GetInfoRequest",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "common.ln",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "errors.handle_rpc... |
413139450 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Sequence, Column, Integer, String, DateTime
GuestBase = declarative_base()
class Guest(GuestBase):
__tablename__ = 'guests'
id = Column(Integer, Sequence('guest_id_seq'), primary_key=True)
project = Column(String(100))
en... | null | guest.py | guest.py | py | 1,626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 10,
"usage_type": "argument"
},
{
... |
218992936 | #!/local/cluster/bin/python
from Bio import SeqIO
from Bio.Seq import Seq
from Bio import motifs
import sys
import warnings
from Bio import BiopythonWarning
warnings.simplefilter('ignore', BiopythonWarning)
if len(sys.argv) < 2:
print("too few arguments")
exit()
motifLen=6
delimeter="\t"
motifDict = {"AAT... | null | bioPyTest.py | bioPyTest.py | py | 2,445 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.simplefilter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Bio.BiopythonWarning",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "Bio.motifs... |
475459711 | import numpy as np
import matplotlib.pyplot as plt
# vitesse
# Arg : float v0, int k,
def vitesse(v0,k,m,n,h):
t = np.zeros(n+1)
v = np.zeros(n+1)
v[0] = v0
for i in range(1,n+1):
t[i] = t[i-1]+h
v[i] = v[i-1] + h*(9.81-(k/m)*(v[i-1]**2))
return (t,v)
## Avec p... | null | TP 8 - Schéma d'Euler/ex 1.py | ex 1.py | py | 1,170 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
271077112 | from django.conf.urls import url
from django.contrib.admin.views.decorators import staff_member_required
from django.contrib.auth.decorators import login_required
from contabilidad.views import *
from contabilidad.ajax import *
from taller.ajax import EliminarNotacredito
urlpatterns = [
url(r'^cambiar/tarjeta/$',... | null | web/contabilidad/urls.py | urls.py | py | 4,836 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.views.decorators.staff_member_required",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": ... |
371031223 | import soundfile as sf
import io
from google.cloud import speech
client = speech.SpeechClient()
import base64
import os
import datetime
import matplotlib.pyplot as plt
from scipy.io import wavfile
import numpy as np
from pydub import AudioSegment
from pydub.silence import split_on_silence
def get_overall_score(pace, ... | null | backend/audio.py | audio.py | py | 3,943 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "google.cloud.speech.SpeechClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "google.cloud.speech",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "io.open",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "google.clo... |
123308315 | import pygame as pg
from . import FPS, ANCHO, ALTO
from .entidades import Raqueta, Bola, Ladrillo, Marcador
class Escena():
def __init__(self, pantalla):
self.pantalla = pantalla
self.reloj = pg.time.Clock()
def bucle_principal(self):
pass
class Portada(Escena):
def __init... | null | arkanoid/escenas.py | escenas.py | py | 3,051 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.time.Clock",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
310816867 | # pip install sqlalchemy
# pip install sqlalchemy-utils
from sqlalchemy import (
create_engine,
Table,
Column,
Integer,
String,
MetaData,
ForeignKey,
)
from sqlalchemy_utils import create_database, drop_database, database_exists
user = "postgres"
password = "postgres"
host = "localhost"
por... | null | Yurii_Khomych/l_11_sqlalchemy/slqalchemy_core_examples/ex_1_define_and_create_tables_core.py | ex_1_define_and_create_tables_core.py | py | 1,185 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sqlalch... |
437032650 | import subprocess
import pexpect
import os
import sys
import pwd
from charms.reactive import when, when_not, set_state
from charmhelpers.core import hookenv, host, templating
from charmhelpers.core.hookenv import status_set
from jujubigdata import utils
import charms.apt
@when_not('superset.installed')
@when('apt.inst... | null | reactive/superset.py | superset.py | py | 3,860 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "charmhelpers.core.hookenv.status_set",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "charmhelpers.core.hookenv.log",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "charmhelpers.core.hookenv",
"line_number": 23,
"usage_type": "name"
... |
555872171 | __author__ = 'Kirill Korovin'
import pygame
import kezmenu
import pygame.font
from player import Player
from game import Game
class Menu(object):
running = True
def main(self, screen):
clock = pygame.time.Clock()
sprites = pygame.sprite.Group()
self.player = Player(sprites)
... | null | menu.py | menu.py | py | 1,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.time.Clock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Group",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.sprite"... |
375608843 | from lxml import etree
import requests
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.109 Safari/537.36'
}
r = requests.get('https://www.xicidaili.com/nn/1', headers=headers).content.decode()
html = etree.HTML(r)
trs = html.x... | null | day16/use_etree_xpath.py | use_etree_xpath.py | py | 544 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 10,
"usage_type": "name"
}
] |
137213220 | #!/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
x=np.linspace(-3,3,50)
y1=10*x**2+x*3+2
y2=3*x**3-x**2+6*x-8
plt.figure(num=0 ,figsize=(8 ,6))
plt.plot(x,y1,color='green',linewidth=3.0,label='y1')
plt.plot(x,y2,color='yellow',linewidth=2.0,label='y2')
plt.legend(loc='lower r... | null | tick能见度.py | tick能见度.py | py | 959 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 6,
"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": "matplotlib.pyp... |
419474333 | #!/usr/bin/env python3
import sys
import requests
import pandas as pd
from bs4 import BeautifulSoup as bs
# constants used by crawler
# target url as the start page
TGT_URL = 'https://maoyan.com/films?showType=3'
# request header, fake as Firefox browser, somehow chrome hit the slide bar
# authentication with high ch... | null | week01/pa01/requests_crawler.py | requests_crawler.py | py | 2,398 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_... |
76663966 | import numpy as np
from collections import OrderedDict
import torch
import torch.optim as optim
from torch import nn
from torch import autograd
import torch.nn.functional as F
import rlkit.torch.pytorch_util as ptu
from rlkit.torch.core import np_to_pytorch_batch
from rlkit.torch.torch_base_algorithm import TorchBase... | null | rlkit/torch/state_marginal_matching/ebil_smm.py | ebil_smm.py | py | 7,532 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.exp",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "rlkit.torch.torch_base_algorithm.TorchB... |
642931764 | import requests
import re
# https://search.jd.com/Search?keyword=ed&enc=utf-8&qrst=1&rt=1&stop=1&vt=2&bs=1&wq=ed&ev=exbrand_ED%5E&page=1&s=1&click=0
# https://search.jd.com/Search?keyword=ed&enc=utf-8&qrst=1&rt=1&stop=1&vt=2&bs=1&wq=ed&ev=exbrand_ED%5E&page=3&s=61&click=0
def gethtmltext(key):
url = 'https://s.t... | null | TaoBao.py | TaoBao.py | py | 1,968 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": ... |
170810041 | import logging
from typing import List, Optional
import click
from .config import RABBIT_CONFIG
from .core import inspect
from .db import DBContextManager
from .rabbitmq import RabbitMQ
from .utils import wrap_async_call
log = logging.getLogger(__name__)
@click.command()
@click.option("--job_id", default=0, type=i... | null | services/sidecar/src/simcore_service_sidecar/cli.py | cli.py | py | 1,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.wrap_async_call",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "click.option",
... |
592887612 | # Local imports
from utils.sikuliUtils import log
class Panel:
def __init__(self, testInfo, name):
self.beatsDir = testInfo.getBeatsDir()
self.supportedBeats = testInfo.supportedBeats
self.name = name
self.duration = 1
def getBeat(self):
"""Returns the beat of a given... | null | Lib/panel.py | panel.py | py | 2,380 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.sikuliUtils.log",
"line_number": 88,
"usage_type": "call"
}
] |
411208723 | import configparser
import ast
class CAMParamParser:
def __init__(self, conf_file):
self.conf_file = conf_file
def readConfig(self):
self.config = configparser.ConfigParser()
self.config.read(self.conf_file)
self.config_dict = self.configEval()
def configEval(self):
... | null | cam_parser.py | cam_parser.py | py | 1,218 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 19,
"usage_type": "call"
}
] |
193581115 | from selenium import webdriver
import math
def calc(number):
return str(math.log(abs(12 * math.sin(number))))
browser = webdriver.Chrome()
link = "https://SunInJuly.github.io/execute_script.html"
browser.get(link)
x = int(browser.find_element_by_css_selector("#input_value").text)
result = calc(x)
print(x)
inp... | null | selenium_lessons/lesson8_step6.py | lesson8_step6.py | py | 1,193 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.log",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"li... |
455317832 | import numpy as np
import os
import scipy.io
import tensorflow as tf
VGG19_LAYERS = (
'conv1_1', 'relu1_1', 'conv1_2', 'relu1_2', 'pool1',
'conv2_1', 'relu2_1', 'conv2_2', 'relu2_2', 'pool2',
'conv3_1', 'relu3_1', 'conv3_2', 'relu3_2', 'conv3_3', 'relu3_3', 'conv3_4', 'relu3_4', 'pool3',
... | null | show_attend_and_tell/vgg.py | vgg.py | py | 2,785 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.nn.conv2d",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "t... |
322985385 |
import Default
from AppInstall.Menu import SHOW_ALL, SHOW_ONLY_SUPPORTED, SHOW_ONLY_FREE, SHOW_ONLY_MAIN, SHOW_ONLY_PROPRIETARY, SHOW_ONLY_THIRD_PARTY, SHOW_ONLY_INSTALLED
from AppInstall.Util import *
import datetime
import locale
from gettext import gettext as _
class Distribution(Default.Distribution):
def... | null | usr/share/pyshared/AppInstall/distros/Ubuntu.py | Ubuntu.py | py | 10,215 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Default.Distribution",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "Default.Distribution.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Default.Distribution",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
60953430 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
whT = 320 #- Width High Target. We are using 320 yolo
confThreshold = 0.5
nms_threshold = 0.3 # The lower is more aggresive and less number of boxes. Can reduce the boxes
classesFile = r'E:\Python Project\Resources\AI_Files\Yolo_v3\coco.names'
classNam... | null | open_cv_yolo3.py | open_cv_yolo3.py | py | 3,843 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.readNetFromDarknet",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "cv2.dnn",
... |
160815724 | from loguru import logger
from czsc import CZSC
from collections import OrderedDict
from czsc.utils import create_single_signal, get_sub_elements
def bar_eight_V230702(c: CZSC, **kwargs) -> OrderedDict:
"""8K走势分类
参数模板："{freq}_D{di}#8K_走势分类V230702"
**信号逻辑：**
参见博客：https://blog.sina.com.cn/s/blog_486e... | null | examples/signals_dev/merged/bar_eight_V230702.py | bar_eight_V230702.py | py | 3,483 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "czsc.CZSC",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "czsc.utils.create_single_signal",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "czsc.utils.get_sub_elements",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "... |
383441306 | # -*- coding: utf-8 -*-
""" Common functions for urlbot """
import config
import re
import time
import requests
import sleekxmpp
import html.parser
from urllib.error import URLError
import logging
log = logging.getLogger(__name__)
BUFSIZ = 8192
USER_AGENT = 'Mozilla/5.0 (X11; Linux x86_64; rv:31.0) ' \
... | null | common.py | common.py | py | 4,565 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sleekxmpp.Message",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sleekxmpp.Presence",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "conf... |
322948917 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import logging
import logging.handlers
import re
import struct
import requests
from PyQt4.QtCore import QObject, pyqtSignal
from operator import itemgetter
import socket
from requests import exceptions
class NoInternetConnectionFound(Exception):
pass
class In... | null | src/utils.py | utils.py | py | 6,936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt4.QtCore.QObject",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtCore.pyqtSignal",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtCore.pyqtSignal",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
550872980 | from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.optimizers import SGD
from keras.initializers import RandomNormal, RandomUniform
from funcoes import *
from pyfiglet import *
import matplotlib.pyplot as plt
import os
import datetime
os.environ['TF_CPP_MIN_LOG_LEVE... | null | main.py | main.py | py | 5,125 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 30... |
206936762 | # !/usr/bin/env python
# -*- coding:utf-8 -*-
from selenium import webdriver
import time
from tqdm import tqdm
import os
from multiprocessing import Pool
def get_driver():
options = webdriver.ChromeOptions()
prefs = {
'profile.default_content_setting_values':
{
'notifications': 2
}
}
options.add_exper... | null | tools/py_spider/spider_farmer.py | spider_farmer.py | py | 3,552 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 20,
"usage_type": "call"
},
{
"api... |
71102723 | from flask import Flask, request, abort, render_template, flash, redirect, url_for
from linebot import (LineBotApi, WebhookHandler)
from linebot.exceptions import (InvalidSignatureError)
from linebot.models import *
import configparser
# LINE 聊天機器人的基本資料
config = configparser.ConfigParser()
config.read('config.ini')
#Y... | null | line_chat_bot/appss_1.py | appss_1.py | py | 1,615 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "linebot.LineBotApi",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "linebot.WebhookHandler",
"line_number": 13,
"usage_type": "call"
}
] |
40799826 | import json
from scripts.utils.mylogger import mylogger
import pickle
import redis
import zlib
import pandas as pd
from tornado.gen import coroutine
from datetime import datetime, timedelta
import numpy as np
logger = mylogger(__file__)
EXPIRATION_SECONDS = 86400*4 #retain for 4 days in redis
class PythonRedis:
... | null | scripts/databases/pythonRedis.py | pythonRedis.py | py | 5,234 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scripts.utils.mylogger.mylogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 31,
"usage_type": "call"
},
{
... |
617896988 | # -*- coding: UTF-8 -*-
import time
import json
import requests
import threading
class DrivingSpider:
def __init__(self):
self.session = requests.Session()
self.session.headers.update({
"Accept":"application/json, text/javascript, */*; q=0.01",
"Accept-Encoding": "gzip, deflate",
"Accept-Language": "en-... | null | main_all_coaches.py | main_all_coaches.py | py | 5,020 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line... |
551254482 | # encoding:utf-8
from selenium import webdriver
import time
driver = webdriver.Chrome()
driver.get("http://www.baidu.com")
driver.implicitly_wait(5)
#单个浏览器多个标签（Tab）的状况时，先取得所有标签的句柄，然后循环遍历并判断是否是当前标签页，如果不是则切换
def handle():
driver.find_element_by_id("setf").click()
handles = driver.window_handles
for handle ... | null | selenium/handle.py | handle.py | py | 968 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
}
] |
376024211 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('todolist', '0006_auto_20150601_0950'),
]
operations = [
migrations.AlterModelOptions(
name='notification',
... | null | todolist/migrations/0007_auto_20150719_1250.py | 0007_auto_20150719_1250.py | py | 1,825 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
395891903 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import faulthandler
import functools
import logging
import sys
from pynextion import PySerialNex
from pynextion.device import NexDevice, NexEventPoller
from PyQt5 import QtCore
from Mesdan.Exceptions.Hooks.Logger import install_logger_excepthook
def printargs(message,... | null | examples/qnextion.py | qnextion.py | py | 3,100 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.info",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QCoreApplication",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "logging.basic... |
369668357 | # -*- coding: utf-8 -*-
import pyaudio
import wave
import sounddevice as sd
import time
import settings.DIR_PATH as bpath
def play(name,type):
chunk = 1024
#
path = type+name+'.wav'
f = wave.open(path,'rb')
p = pyaudio.PyAudio()
# print(p.get_device_count())
# print(p.get_default_output_de... | null | utils/play_aidio.py | play_aidio.py | py | 1,024 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wave.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": ... |
517659429 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
driver = webdriver.Firefox()
driver.get("http://www.google.com")
assert "Google" in driver.title
elem = driver.find_element_by_id('lst-ib')
elem.clear()
elem.send_keys("Python is rad!")
elem.send_keys(Keys.RETURN)
assert "No results found."... | null | webtest.py | webtest.py | py | 364 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 10,
"usage_type": "attribute"
}... |
449539815 | # -*- coding: UTF-8 -*-
# File: sun_info
# Author: Philip Cheng
# Time: 7/22/16 -> 5:25 PM
from datetime import date, datetime, timedelta
from astral import Astral
from framework import Memoized
import numpy as np
astral = Astral()
@Memoized
def day_light(date_time, lati, longi):
sunrise, sunset = astral.dayligh... | null | utils/sun_info.py | sun_info.py | py | 962 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "astral.Astral",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astral.daylight_utc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "framework.Memoized",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.timedel... |
366009673 | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | null | vega/model_zoo/fusion.py | fusion.py | py | 1,699 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vega.is_torch_backend",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "vega.is_torch_backend",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
425829299 | import steps
import logging
import json
# THIS IS THE SEQUIENCER !!!! 11 elf
def sequencer_loadconfigfromfile(infile):
'''
Load config from file.
'''
config = None
composedsequence = []
with open(infile) as file:
config = json.load(file)
if config is not None:
composeds... | null | sequencer.py | sequencer.py | py | 1,648 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "steps.sequencer_step_filecopy",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
103843995 | import random
import torch
from PIL import Image
from glob import glob
import os
import numpy as np
class Places2(torch.utils.data.Dataset):
def __init__(self, img_root, mask_root, img_transform, mask_transform,
split='train',targeted = True):
super(Places2, self).__init__()
self.i... | null | places2.py | places2.py | py | 2,530 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 22... |
570562326 | #!/usr/env/bin/ python3
"""
[extract_sequence.py]
DESCRIPTION: Extracts sequence corresponding to the documented sequence
in a mmCIF file, also extracts sequence based on structural data in pdb file,
this is to compare sequences for missing residues
USAGE: python3 extract_sequence.py <PDBfile> <CIFfile> <EntityNumbe... | null | extract_sequence.py | extract_sequence.py | py | 6,009 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Bio.PDB.PDBParser",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
192233312 | import pygame
import random
pygame.init()
speed_game = 4
score = 0
scores = []
menu_img = pygame.image.load('menu.jpeg')
pygame.mixer.music.load('music.mp3')
pygame.mixer.music.play()
RED = (255, 0, 0)
LIGHT_BLUE = (227, 243, 255)
COL_BACKGROUND = (63, 174, 196)
COLOUR_OF_FRAME_MIN = (139, 0, 255) ... | null | main(1).py | main(1).py | py | 12,218 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music.load"... |
284730828 | #!/usr/bin/env python
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import argparse
import getpass
import sys
import xml.etree.ElementTree
import pan.xapi
import xmltodict
import xlsxwriter
from panos_util import VulnerabilitySignature
def parse_xml(xml_doc):
tree = xml.... | null | threat_signature_report.py | threat_signature_report.py | py | 3,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xml.etree.ElementTree.etree.ElementTree.fromstring",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.etree",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 18,
"usage_typ... |
40291532 | import scipy.io
from sklearn.tree import DecisionTreeClassifier
import numpy as np
from sklearn import svm
import csv
'''
Final submission functions
'''
if __name__=='__main__':
# load train data
classifiers_svm=[]
for patient in range(1,8):
readin_ict=scipy.io.loadmat('patient_'+str(p... | null | final_submission_svm.py | final_submission_svm.py | py | 3,932 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.io.loadmat",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "scipy.io.io.loadmat",
... |
134288248 | from django.template import Template , Context
from django.shortcuts import render, render_to_response
from django.views import View
from django.db import connection
from django.conf import settings
from .forms import UserLoginForm, UserEditForm, UserRegistrationForm, ReportForm
from django.contrib.auth import login, a... | null | Gifts/views.py | views.py | py | 14,487 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.View",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.db.connection.cursor",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "dj... |
427982046 | from django.http import HttpResponse, JsonResponse
from rest_framework.parsers import MultiPartParser, FormParser, JSONParser
from rest_framework.decorators import api_view,permission_classes,authentication_classes,parser_classes
from rest_framework import status
from rest_framework.permissions import IsAuthenticated
f... | null | FourYouth_API/fourYouth/fourYouthAPI/views/aboutUsViews.py | aboutUsViews.py | py | 2,552 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_201_CREATED",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.status",
"line_number": 22,
"usage_type": "na... |
399873743 | #
# djblets/siteconfig/django_settings.py
#
# Copyright (c) 2008 Christian Hammond
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the r... | null | seahub/thirdpart/Djblets-0.6.14.dev-py2.6.egg/djblets/siteconfig/django_settings.py | django_settings.py | py | 5,599 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings",
"line_number": 102,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 103,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 168,
"usage_type": "argument"
},
{
"api... |
105749018 | # encoding:utf-8
"""
All constants could be used in other modules
For reasons that models, views can't have unicode
text in this project, all unicode text go here.
"""
from django.utils.translation import ugettext as _
MODERATOR_STATUS_CHOICES = (
('a', _('approved')),
... | null | patches/twmode/twmode.py | twmode.py | py | 3,950 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.utils.translation.ugettext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 12,
"usage_type": ... |
138401305 | __author__ = 'antonior'
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^/*$', views.input),
url(r'run$', views.run),
url(r'result', views.result),
url(r'test', views.test),
]
| null | sRNAtoolboxweb/sRNAdejBrowser/urls.py | urls.py | py | 223 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.... |
216482339 | #!/usr/bin/env python
""" file: test_coverage.py (tests)
author: Jess Robertson, jess@unearthed.solutions
date: Thursday, 03 January 2019
description: Tests for coverage wrangling
"""
import unittest
from pathlib import Path
import numpy as np
import rasterio
import requests
from explore_australi... | null | tests/test_coverage.py | test_coverage.py | py | 5,708 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.ConnectionError",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pat... |
531346268 | '''
Description:
Random pts in edge with black value spread in black area only in one direction
stop when reach the border and the value is white,get the growth path length sum histogram
Fake code:
'''
import random
import numpy as np
import cv2
import math
import os
from collectio... | null | post-process/v2_1_binaryGrowth.py | v2_1_binaryGrowth.py | py | 11,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 91,
... |
461338912 | import logging
from PySide2.QtWidgets import QFrame, QLabel, QVBoxLayout, QHBoxLayout, QScrollArea, QSizePolicy, \
QTableWidget, QTableWidgetItem, QLineEdit, QComboBox, QPushButton, QMessageBox
from PySide2.QtCore import Qt, QSize
class QStateSolver(QFrame):
COLUMNS = ["Name","Cast to", "Value"]
def __i... | null | angrmanagement/ui/widgets/qstate_solver.py | qstate_solver.py | py | 2,545 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PySide2.QtWidgets.QFrame",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QVBoxLayout",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QHBoxLayout",
"line_number": 33,
"usage_type": "call"
},
{
... |
405722774 | # -*- coding: utf-8 -*-
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy.http import Request
from obi.items import ObiItem
class ParseObiSpider(CrawlSpider):
name = 'obi'
allowed_domains = ['obi.ch']
start_urls = (
'https://www.obi.ch/bauen... | null | obi/obi/spiders/parse_obi.py | parse_obi.py | py | 1,839 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scrapy.spiders.Rule",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 21,
"usage_type": "call"
},
{
... |
137340793 | """the_wall_app URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/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-... | null | django/the_wall/the_wall_app/urls.py | urls.py | py | 1,233 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
369155562 | import maya.cmds as cmds
# -------------------------------------------- Functions -------------------------
# --------------------------- UI Col Management ---------------------------
# Transfer Brightness from B to A
def brightnessCol(A, b):
import colorsys
hsvA = colorsys.rgb_to_hsv(A[0], A[1]... | null | Maya/UITools/BasicInterface_V1.0.py | BasicInterface_V1.0.py | py | 2,484 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "colorsys.rgb_to_hsv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "colorsys.hsv_to_rgb",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "colorsys.rgb_to_hsv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "colorsys.... |
110038235 | #Part 2 Task 1
#Import Modules
from pyspark.sql import SparkSession
#Create a spark session
spark = SparkSession.builder.appName("AirBnB").getOrCreate()
#Dataset path
path = 'C:/Users/Ashish/Desktop/Truata/airbnbdata.parquet'
#Load parquet file into dataframe
airbnb_Data = spark.read.parquet(path)
| null | src/task2_1.py | task2_1.py | py | 316 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 7,
"usage_type": "... |
242792757 | """movies, actors, genders tables
Revision ID: eb5bdaad569a
Revises:
Create Date: 2020-08-06 20:30:56.692972
"""
from alembic import op
import sqlalchemy as sa
import sqlalchemy_utils
# revision identifiers, used by Alembic.
revision = 'eb5bdaad569a'
down_revision = None
branch_labels = None
depends_on = None
def... | null | projects/capstone/thecrew_full_stack/thecrew-app-backend-api-python/migrations/versions/eb5bdaad569a_movies_actors_genders_tables.py | eb5bdaad569a_movies_actors_genders_tables.py | py | 2,190 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.create_table",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
75067804 | import numpy as np
import cv2
import math
def HomographyMatrix(src_img_pts,world_plane_pts):
tb=[]
ta=[]
for i in range(0,len(src_img_pts)):
tmp=[world_plane_pts[i][0],world_plane_pts[i][1],1,0,0,0,-src_img_pts[i][0]*world_plane_pts[i][0],-src_img_pts[i][0]*world_plane_pts[i][1]] ... | null | hw3_1.py | hw3_1.py | py | 3,773 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.asarray",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.pinv",
"line_n... |
360366670 | #! /usr/bin/env py.test
import contextlib
import glob
import logging
import os
import subprocess
import pytest
import webtest
from pypiserver import __main__, bottle
# Enable logging to detect any problems with it
##
__main__.init_logging(level=logging.NOTSET)
@pytest.fixture()
def _app(app):
return app.modu... | null | tests/test_app.py | test_app.py | py | 8,746 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pypiserver.__main__.init_logging",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pypiserver.__main__",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.NOTSET",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name... |
399416502 | #!/usr/bin/env python
#
# activerecords_imp2.py
#
# Copyright Kostadin Atanasov(all rights reserved).
# author: Kostadin Atanasov.
# This program is released under terms of GPLv2. See LICENSE or visit:
# http://www.gnu.org/licenses/gpl.html
'''
Actual implementation of ActiveRecord class for python 2.x.
'''
from met... | null | active_records/activerecords_imp2.py | activerecords_imp2.py | py | 8,298 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "metaflow.active_records.activerecord_utils.ActiveRecordError",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "metaflow.active_records.activerecord_utils.ActiveRecordError.unsupported_keyword",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name":... |
83067679 | import csv
import sys
import os
import pandas as pd
from typing import Any, Optional, List
from plot import catplot, plt, apply_hatch
from graph_utils import (
apply_aliases,
column_alias,
systems_order,
change_width,
apply_to_graphs,
PAPER_MODE,
)
if PAPER_MODE:
color: Optional[str] = "bl... | null | apps/nix/graphs.py | graphs.py | py | 7,981 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "graph_utils.PAPER_MODE",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
522440821 | from mininet.net import Mininet
from lib.router import Router
from lib.switch import Switch
from lib.host import Host
from lib.device import Device
from mininet.cli import CLI
from mininet.log import setLogLevel, info
import sys
def main():
net = Mininet()
a1 = Router('1', [{'interface': 'eth0', 'ip': '12.1.1.1... | null | VLANs/main.py | main.py | py | 3,022 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mininet.net.Mininet",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lib.router.Router",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lib.switch.Switch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lib.host.Host... |
404856039 | #!/usr/bin/env python
#
# Test the electrolib.channel interface
# electrolib.channel exposes the ChanOrderFile class
#
import datetime
import numpy
from electrolib.channel import ChanOrderFile
from electrolib.sources import SampleFile
# Create a SampleFile instance to test ChanOrderFile on
nchan = 10
nsamples = 25... | null | tests/test_chanorderfile.py | test_chanorderfile.py | py | 2,080 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "datetime.ti... |
24932686 | import datetime
# from twilio.rest import Client
# from datetime import datetime
# now = datetime.now()
all_studs = []
all_books = []
all_issued = []
class StudentInfo:
s_roll = None
s_name = None
s_class = None
s_mob = None
s_email = None
def accept_stud_info(self):
... | null | library2.py | library2.py | py | 6,051 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "da... |
371093526 | import json
from recastai import sentence
class Response(object):
def __init__(self, response):
self.raw = response
response = json.loads(response)
response = response['results']
self.source = response['source']
self.intents = response['intents']
self.sentences = [Sentence(s) for s in respo... | null | recastai/response.py | response.py | py | 1,076 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "recastai.sentence",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "recastai.sentence.entities",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "recastai.... |
630581059 | import pefile
import argparse
import os
import sys
import fnmatch
from sectiondefs.commondefs import common_sections_dict
from sectiondefs.packerdefs import packer_sections_dict
def main():
args = buildargparser()
delimeter = ','
if args.path:
try:
args.ext
extenstion = arg... | null | peparser.py | peparser.py | py | 10,807 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pefile.PE",
"line_number": ... |
270464659 | # Created: November 1 2020
# (c) Copyright governed by MIT License.
# To edit: Add values wherever "ADD" is written
import requests, json, time, datetime, smtplib, ssl, email.utils
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
#Send Email
def sendEmail(output, address, recipie... | null | G999 MasterNode Alert.py | G999 MasterNode Alert.py | py | 5,938 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "email.utils.utils.formataddr",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "email.utils.utils",
"line_number": 72,
"usage_type": "attribute"
},
{... |
67779502 | # -*- coding: utf-8 -*-
"""
Multivariate time-series analysis model using Restricted Boltzmann machines
(RBM) and temporal dynamic Bayesian networks (tDBN)
Created on Tue Jun 11 2019
@author: João Henrique Rodrigues, IST
version: 1.0
"""
import sys, os
import numpy as np
import torch
from rbm_categorical import Cate... | null | rbm_tdbn.py | rbm_tdbn.py | py | 30,413 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "rbm_ut... |
415742881 | import os.path
from typing import List
from src.Car import Car
class Exporter:
def __init__(self, filename: str) -> None:
self.filename: str = filename
self.vehicles: List[Car] = []
def setVehicles(self, vehicles: list) -> None:
self.vehicles = vehicles
# Export the output to a fi... | null | src/Exporter.py | Exporter.py | py | 933 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "src.Car.Car",
"line_number": 8,
"usage_type": "name"
}
] |
508994577 | import numpy as np
import torch
import torch.nn as nn
from utils_global import remove_illegal, action_mask
from agents.common.model import DQN, DuelingDQN, DeepConvNet
from agents.common.buffers import PrioritizedBuffer
"""
Experience replay memory is sampled uniformly with BasicBuffer. Novel and interesting transiti... | null | DouDizhu/agents/value_based/per_noisy_duel_double_dqn_agent.py | per_noisy_duel_double_dqn_agent.py | py | 16,671 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",... |
285645008 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('visit', '0044_auto_20150808_2151'),
]
operations = [
migrations.RemoveField(
model_name='visit',
nam... | null | visit/migrations/0045_auto_20150808_2231.py | 0045_auto_20150808_2231.py | py | 952 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
198876250 | import numpy as np
from itertools import product
def get_initial_region(lines):
region = None
for line in lines:
arr = np.array([1 if x == "#" else 0 for x in line])
if region is None:
region = arr
else:
region = np.vstack((region, arr))
region = np.expand_d... | null | day-17/script2.py | script2.py | py | 1,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.pad",
"line_numbe... |
496918838 | # CD Marker Handbook
import numpy as np
import pandas as pd
import scipy.stats
#from random import randint
#from sklearn.datasets.samples_generator import make_blobs
def find_k_closest(matrix, x_coord, y_coord, k):
list_of_points = []
nodes = np.asarray(matrix.values)
node = (x_coord, y_coord)
for i ... | null | markers.py | markers.py | py | 2,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.asarray",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number"... |
578267499 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse
from django.core import serializers
from django.http import JsonResponse
from .models import Post
from .forms import PostForm
def post_create(request):
form=PostForm(request.Post or None)
if form.is_valid():
in... | null | posts/views.py | views.py | py | 1,138 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "forms.PostForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 21,
"usage_type": "call"
},
{
"api_nam... |
266286600 | import logging
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from dynamic_preferences.users.forms import user_preference_form_builder
logger = logging.getLogger(__name__)
def uniq_sections(user):
"""
Returns number of unique instances of Sections.
... | null | papermerge/contrib/admin/views/preferences.py | preferences.py | py | 1,412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dynamic_preferences.users.forms.user_preference_form_builder",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 41,
"usage_type"... |
493095992 | from AxonDeepSeg.data_management.dataset_building import *
from AxonDeepSeg.ads_utils import download_data
import os, shutil
from pathlib import Path
data_split_path = Path("./split")
data_patched_path = Path("./patched")
data_training_path = Path("./training")
'''
# If dataset building folders already exist, remove ... | null | notebooks/train_own.py | train_own.py | py | 2,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number":... |
155336761 | import os
import theano
import numpy as np
# from random import random
import theano.tensor as T
import d
random = np.random
x = T.dvector("x")
w1 = T.dmatrix("w1")
s1 = T.dot(x, w1)
y1 = 1 / (1 + T.exp(-s1))
w2 = T.dmatrix("w2")
s2 = T.dot(y1, w2)
y2 = 1 / (1 + T.exp(-s2))
t = T.dvector("t")
L = 1 / 2 * T.sum((t - y2)... | null | b.py | b.py | py | 2,693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "theano.tensor.dvector",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "theano.tensor",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "theano.tensor.dmat... |
421965221 | """
html-pdf-webservice
Copyright 2014 Nathan Jones
See LICENSE for more details
"""
# Gunicorn server config
# See http://docs.gunicorn.org/en/latest/settings.html
import multiprocessing
bind = "0.0.0.0:8080"
workers = multiprocessing.cpu_count() * 2
errorlog = "-"
| null | config.py | config.py | py | 283 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 14,
"usage_type": "call"
}
] |
390923689 | import nltk
from nltk.corpus import wordnet as wn, stopwords
from nltk.corpus import wordnet
from nltk import pos_tag
from nltk.tokenize import sent_tokenize, word_tokenize
from tkinter import *
import random
import sqlite3
import os
import sys
import time
sys.setrecursionlimit(20000)
global story, stop_words, wordNu... | null | Final Project/Final Product/Final Product.py | Final Product.py | py | 29,689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 31,
"usage_type": "name"
},
{
"api_name"... |
524569804 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.http import HttpResponse
from django.shortcuts import render,render_to_response
from django.core import serializers
from models import students
from django.views.decorators.csrf import csrf_exempt,csrf_protect
import json
import sqlite3
import ... | null | ScoreManager/views.py | views.py | py | 3,130 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.students.objects.create",
"line_number": 23,
"usage_type": "call"
},... |
483659708 | from modeltranslation.translator import translator, TranslationOptions
from modules.blog.models import Blog
from modules.page.models import Page
from modules.portfolio.models import Portfolio
from modules.index.models import Index
class BlogTranslationOptions(TranslationOptions):
fields = ('title', 'brief', 'desc... | null | src/project/translation.py | translation.py | py | 800 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "modeltranslation.translator.TranslationOptions",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "modeltranslation.translator.TranslationOptions",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "modeltranslation.translator.TranslationOptions",
... |
630575336 | import numpy as np
from sklearn.metrics import accuracy_score
from sklearn.neighbors import NearestNeighbors
from sklearn.svm import LinearSVC
import matplotlib.pyplot as plt
def svm_tree_init(X,y,depth=3):
Xy_n = (X,y)
nt = svt(Xy_n,depth)
return nt
class svt:
def __init__(self,Xy_n,depth):
s... | null | svm_tree.py | svm_tree.py | py | 8,485 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.argsort",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number"... |
494432056 | import decimal
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
from dash.exceptions import PreventUpdate
from dash.dependencies import Input, Output, State
from ... import app
from ... import snmp
from ... import database as db
from ...utils import stl_toa... | null | app/layout/edit/radios.py | radios.py | py | 10,496 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "decimal.Decimal",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "dash_html_components.Div",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "dash_html_components.H6",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": ... |
269176100 |
# -*- coding: utf-8 -*-
import os, sys
sys.path.append(os.getcwd())
import time
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import sklearn.datasets
import tensorflow as tf
import tflib as lib
import tflib.ops.linear
import tflib.ops.conv2d
import t... | null | gan_bionics_light.py | gan_bionics_light.py | py | 20,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"line_numbe... |
646461634 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# (C) 2013 Pengkui Luo <pengkui.luo@gmail.com>
# Created 6/12/2013, updated 6/19/2013
#
""" Unit tests
"""
print('Executing %s' % __file__)
import unittest
import os, sys, time
from netutils import dnsblav, publicsuffix
class Test_DNSBLAV (unittest.TestCase):
de... | null | tests/test_dnsblav.py | test_dnsblav.py | py | 963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "netutils.dnsblav.is_dnsav_service",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "netutils.dnsblav",
"line_number": 20,
"usage_type": "name"
},
{
"api_nam... |
440039837 | import os
from IPython.display import display, Markdown
from databaker.framework import loadxlstabs
# Stringifys some metadata-like output for the fake scrape
def fakeMetadata(metaDict):
firstEntry = True
for k, v in metaDict.items():
if firstEntry:
display(Markdown('**{}**\n'.format(k)))
... | null | databaker-lab-exercises/tutorialResources/scraper.py | scraper.py | py | 1,579 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "IPython.display.display",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "IPython.display.Markdown",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "IPython.display.display",
"line_number": 12,
"usage_type": "call"
},
{
"api_name... |
543916417 | import pygame
from constant import *
from Ship import *
from new_front_enemy import new_front_enemy
import sys
def game(screen):
all_sprites = pygame.sprite.Group()
player = pygame.sprite.Group()
enemies = pygame.sprite.Group()
Player(enemies, all_sprites, player)
BackEnemy(player, all_sprites, e... | null | game.py | game.py | py | 5,003 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.sprite.Group",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Group",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.sprit... |
407342168 | from random import random
from math import log
from matplotlib import pyplot
import numpy
def multiClassAttr(arr,legend,append="",sort=False, title='Stevilo pomembnih znacilk za razred'):
plt = []
if sort:
for i in arr:
plt.append([len(i["c"+str(y)]) for y in sorted([int(x[1:]) for x in i])])
else:
for i i... | null | naloga02/src/graf.py | graf.py | py | 2,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
353430971 | import cv2
def change_color(image, color):
img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
height, width = img_gray.shape[:2]
color_list = {"b": [1, 0, 0], "g": [0, 1, 0], "r": [0, 0, 1]}[color]
for x in range(height):
for y in range(width):
intensity = img_gray[x, y]
... | null | image_process.py | image_process.py | py | 411 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.cvtColor",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 4,
"usage_type": "attribute"
}
] |
605599955 | '''Trains a simple deep NN on the MNIST dataset.
Gets to 98.40% test accuracy after 20 epochs
(there is *a lot* of margin for parameter tuning).
2 seconds per epoch on a K520 GPU.
'''
from __future__ import print_function
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.la... | null | autoxd/cnn_boll/my_recognition.py | my_recognition.py | py | 2,360 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "autoxd.myredis.gen_data",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "autoxd.myredis",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "autoxd.cnn_boll.load_img.load_data",
"line_number": 20,
"usage_type": "call"
},
{
"api_nam... |
239213679 | import csv
import cv2
import numpy as np
import sklearn
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Flatten, Dense, Lambda, Cropping2D, Dropout
from keras.layers.convolutional import Convolution2D
from keras.layers.convolutional import MaxPooling2D
f... | null | model.py | model.py | py | 5,268 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.... |
558366186 | # encoding=utf-8
import sys
import json
def get_segment_pieces(mapping, segment_number, one_indexed=True):
if one_indexed:
segment_number -= 1
start, end = mapping['realignment'][segment_number]
text = mapping['match_text'] [start:end]
indices = mapping['matches'][start:end]
return indic... | null | sources/Yerushalmi/helper.py | helper.py | py | 956 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
}
] |
624826033 | import io
import re
import lxml
import zipfile
from cgi import escape
class Memory():
'zip and unzip in memory'
def __init__(self):
self.memory = io.BytesIO()
def __get_data(self):
self.memory.seek(0)
return self.memory.read()
def __save(self, out):
with open(out, 'w... | null | simple_tamplate/tools.py | tools.py | py | 4,061 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.BytesIO",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "zipfile.ZIP_DEFLATED",
... |
296614773 | """
Combined RDTs
-------------
This module contains combined resonance driving terms calculations functionality of
``optics_measurements``.
It provides functions to compute combined resonance driving terms following the derivations in
https://arxiv.org/pdf/1402.1461.pdf.
"""
from pathlib import Path
import numpy as n... | null | omc3/optics_measurements/crdt.py | crdt.py | py | 7,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "omc3.utils.logging_tools.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "omc3.utils.logging_tools",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "omc3.optics_measurements.constants.AMPLITUDE",
"line_number": 24,
"usage_typ... |
23080298 | from django.shortcuts import render
from .forms import *
from scm.models import Person
from datetime import datetime,timedelta,timezone
from django.contrib.auth.models import User
from django.http import HttpResponse
from django.shortcuts import render, redirect
def registerUser(request):
formP = RegisterUserForm(req... | null | users/views.py | views.py | py | 1,369 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "djang... |
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