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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
346578686 | #!/usr/bin/python
import pycurl
try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from bs4 import BeautifulSoup
URL = "https://bitcointalk.org/index.php?board=159.0"
def get_m... | null | findMineCoins.py | findMineCoins.py | py | 1,070 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "io.StringIO",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pycurl.Curl",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pycurl.Curl",
"line_num... |
32315326 | import sys
from PyQt4 import QtGui, QtCore, QtWebKit
import folium
import io_geojson
import tweet
import point
import random
class Example(QtGui.QMainWindow):
def __init__(self):
super(Example, self).__init__()
self.initUI()
def initUI(self):
... | null | view.py | view.py | py | 3,005 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt4.QtGui.QMainWindow",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "folium.Map",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui.QAction... |
324148864 | # -*- coding:utf-8 -*-
import requests
import re
res = requests.get('https://www.google.co.jp/search?q=%E6%B2%96%E7%B8%84%E3%80%80%E9%AB%98%E7%B4%9A%E3%83%9B%E3%83%86%E3%83%AB')
res.raise_for_status()
#print(res.text)
pattTitle = re.compile('<h3 class="r"><a href="/url(.*?)">(.*?)</a></h3><div class="s">')
pattUrl = re... | null | premiere02.py | premiere02.py | py | 673 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
}
] |
116305201 | # Python standard.
import random
from typing import List
# Third-party.
import numpy as np
# Local.
from scratch.activations import Activations
class Perceptron:
""" Single layer Neural Network. Linear classifier (binary). For Linearly separable problems."""
def __init__(self, inputs: List[float], activati... | null | scratch/perceptron.py | perceptron.py | py | 1,642 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scratch.activations.Activations... |
168914108 |
import yfinance as yf
def get_yahoo_stats_for_candidate(s, notification_callback):
# notification_callback.emit("Downloading the data for: "+s)
df=yf.download(s, period = "1y")
# notification_callback.emit("Figuring average Drop and Change for: "+ s)
df['drop']=df['Open']-df['Low']
df['dropP']=... | null | Research/UpdateCandidates.py | UpdateCandidates.py | py | 552 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "yfinance.download",
"line_number": 9,
"usage_type": "call"
}
] |
397024757 | from django.urls import path
from . import views
urlpatterns = [
path('register/', views.registerPage, name="register"),
path('', views.index, name='index'),
path("update/<int:pk>/", views.update_task, name="update_task"),
path('<int:pk>', views.delete_task, name="delete_task"),
] | null | todolist/urls.py | urls.py | py | 312 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
128730014 | # -*- coding: utf-8 -*-
"""
networking.py
~~~~~~~~~~~~
This module implements Settings HP OneView REST API
"""
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import range
from future import standard_lib... | null | hpOneView/networking.py | networking.py | py | 10,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "builtins.range",
"line_number": 155,
"usage_type": "call"
}
] |
230333680 |
# -*- coding: utf-8 -*-
"""
################################################################################
Cell Counting in Target Nuclei Script
Author: Gerald M
Version U-net (Python 3)
This version uses a UNet to perform semantic segmentation of the images.
Also updated, oversampling correction. Of cells which ... | null | cell_counting/cctn/cctn_unet.py | cctn_unet.py | py | 25,778 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "warnings.simplefilter",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "PIL.Image.DecompressionBombWarning",
"line_number": 50,
"usage_type": "attribute"
},
{
"api... |
268321940 | from django.shortcuts import render, get_object_or_404, HttpResponse
from courses import models
from django.views.generic.base import View
from pure_pagination import Paginator, EmptyPage, PageNotAnInteger
from operation.models import UserFavorite, CourseComments, UserCourse
from django.db.models import Q
from utils.mi... | null | apps/courses/views.py | views.py | py | 6,014 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.views.generic.base.View",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "courses.models.Course.objects.all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "courses.models.Course",
"line_number": 17,
"usage_type": "attribute"
}... |
366480015 | from flask import render_template, jsonify, request, flash
from app import db
from flask_login import login_required, current_user
from app.main import bp
import json
import requests
import time
@bp.route('/')
@bp.route('/index')
@login_required
def index():
user = current_user
if user.achievement1 is None:
... | null | app/main/routes.py | routes.py | py | 5,200 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask_login.current_user",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "app.db.session.add",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "app.db.session",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "app.d... |
236750751 | from django.db.models import Q
from rest_framework import generics, mixins
from omsApp.models import Product, ProductType
from .serializers import ProductSerializer, ProductTypeSerializer
from .permissions import IsOwnerOrReadOnly
class ProductTypeRudView(generics.RetrieveUpdateDestroyAPIView):
lookup_field = 'id... | null | omsApp/api/views.py | views.py | py | 2,049 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.generics.RetrieveUpdateDestroyAPIView",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "serializers.ProductTypeSerializer",
"line_number": 10,
"u... |
296619409 |
import os, logging, fileinput, subprocess, re
from datetime import datetime, timedelta
from .Switch import switch
from . import is_a_cme, is_a_docker, docker_run
def set_clock(newtime):
''' use the system 'date' command to set it
format of newtime string: "%Y-%m-%dT%H:%M:%S.SSSSSS"
TODO: parse/validate the ... | null | ClockUtils.py | ClockUtils.py | py | 8,241 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.run",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger"... |
371221382 | import cv2
import matplotlib.pyplot as plt
import numpy
import scipy.io
mat = scipy.io.loadmat('./devkit/cars_train_annos.mat')
annotations = mat['annotations'][0]
scaled_size = 100
img_file = './cars_train/00001.jpg'
original_img = cv2.imread(img_file, cv2.IMREAD_GRAYSCALE)
scaled_img = cv2.resize(original_img, (sca... | null | test_bbox.py | test_bbox.py | py | 754 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.io.io.loadmat",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_num... |
85438145 | from scipy import signal
from scipy.interpolate import interp1d
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from config import INTERP_TYPE, FILTER_CONF
def intervals_from_mask(mask, polarity=True):
"""
Convert bool mask to slices with given polarity
Ex.: [0, 0, ... | null | height_correction/filtering.py | filtering.py | py | 5,230 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.nonzero",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number... |
250417890 | """A script for converting zero-filled examples into examples with raw morphophonemes
Raw morphophonemes are named according to a set of principal forms
(principal parts) which are assumed to reflect all morphophonemic
alternations in a lexeme. The script assumes that the examples within
a lexeme occur all in the sam... | null | zerofilled2raw.py | zerofilled2raw.py | py | 5,450 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "orderedset.OrderedSet",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "collections.... |
557598148 | from __future__ import division
import pygame
from pygame.locals import *
import map
import character
import math
import console
class GG2:
"""
Central class
"""
# This is to replace the gmk "all" and also to update everything.
GameObjectList = []
Xview = 0
Yview = 0
def __init__(self):
# All drawing... | null | gg2.py | gg2.py | py | 1,823 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygam... |
628916780 | import requests
import json
import time
from bs4 import BeautifulSoup
from django.contrib.gis.geos import GEOSGeometry
from routepang.model.LocationModel import Location
from routepang.model.PreciousData import PreciousData
# request에 해당하는 명소(영어명)
# 최대 60개까지 가져옴
# json배열 형태로 return
class LocationController:
def ... | null | controller/LocalController.py | LocalController.py | py | 3,357 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "routepang.model.PreciousData.PreciousData.mapKey",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "routepang.model.PreciousData.PreciousData",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_... |
463826422 | # coding: utf-8
import os
import timeit
from collections import OrderedDict
import meshio
import numpy as np
from mgmetis import metis
__all__ = ['meshpart']
def meshpart(size, filename):
if size > 1:
paramesh(size, filename)
else:
seqmesh(filename)
def seqmesh(filename):
def load_gmsh_m... | null | manapy/ddm/meshpartitioning.py | meshpartitioning.py | py | 12,132 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "meshio.read",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
344007750 | from bs4 import BeautifulSoup as bs
from selenium import webdriver
import time
import pandas as pd
# setup
url = 'http://fantasy.nfl.com/league/2785979/history/2015/teamhome?teamId=1'
driver = webdriver.Firefox()
# to be populated
rosters = {}
pages = []
# sign in with selenium driver
driver.get(url)
time.sleep(20)
... | null | FantasyRosters/getFantasyRosters.py | getFantasyRosters.py | py | 1,105 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
242383201 | import argparse
#define arguments
parser = argparse.ArgumentParser(description='remove reads that map to contigs that arent part of cycles')
parser.add_argument('ifn_pairedtable', metavar='<ifn_paired table reads', type=str, help='Input paired table of reads')
parser.add_argument('ofn_pairedtable', metavar='<ifn_paire... | null | md/Python/rem_noncyc_reads.py | rem_noncyc_reads.py | py | 1,459 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
}
] |
447405634 | import datetime
import streamlit as st
import pandas as pd
from tools.data_tools import *
@st.cache(allow_output_mutation=True)
def get_removed():
removing_dates = {'start_date':[],'end_date':[]}
return removing_dates
def removing_dates(df):
st.subheader("Removing data by period of time")
... | null | database_config.py | database_config.py | py | 2,453 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "streamlit.cache",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.subheader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetim... |
212723893 | ############################################################################
# #
# Copyright (c) 2022-2023 Carl Drougge #
# #
# Licensed u... | null | accelerator/shell/lined.py | lined.py | py | 6,731 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "accelerator.colourwrapper.colour.pre_post",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "accelerator.colourwrapper.colour",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 48,
"usage_type": "attribute"
},... |
380725390 | import os
import argparse
import pdb
from models.cgan.model import Generator
from models.classifier.model import get_MNIST_model
import models.classifier.train
import models.classifier.evaluate
import numpy as np
import torch
from torch.autograd import Variable
import torch.utils.data
from torch.utils.data import Da... | null | run_baseline.py | run_baseline.py | py | 6,724 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "model... |
241256279 | import torch
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
import os
import sys
model_urls = {
'imagenet': 'http://webia.lip6.fr/~cadene/Downloads/inceptionv4-97ef9c30.pth'
}
class BasicConv2d(nn.Module):
def __init__(self, in_planes, out_planes, kernel_size, stride, padding=0):
sup... | null | model_zoo/inceptionv4/pytorch_load.py | pytorch_load.py | py | 17,252 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
38227380 | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.2.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
#... | null | test.py | test.py | py | 6,512 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "heatrapy.single_object",
"l... |
89818221 | ############################ JSON representation ##############################
import webapp2
import json
from utilities.db_entities import *
class JsonHandler(webapp2.RequestHandler):
def get(self):
posts = db.GqlQuery("SELECT * FROM Posts ORDER BY time_date DESC")
posts_list = []
for ... | null | handlers/jsonHandler.py | jsonHandler.py | py | 1,509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "webapp2.RequestHandler",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "jso... |
357309904 | import cv2
import numpy as np
from webapp.GymTrainerComponents.PoseDetector import PoseDetector
vCap = cv2.VideoCapture("videos/v5.mp4")
pDetector = PoseDetector()
count = 0
direction = 0
while True:
success, img = vCap.read()
result, img = pDetector.getPose(img, False)
landMarksList = pDetector.getPoseLa... | null | webapp/GymTrainerComponents/BoxingTrainer.py | BoxingTrainer.py | py | 1,618 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "webapp.GymTrainerComponents.PoseDetector.PoseDetector",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.interp",
"line_number": 17,
"usage_type": "call"
},
{
... |
194219016 | '''
Req
url
base (taken from server object)
endpoint (from path)
parameters (copu of parameter object)
name: parameter name
location: query,header,path,cookie
required: true/false
value: fuzzable variable
method (from path GET,PUT etc)
headers dict? list?
... | null | req.py | req.py | py | 31,495 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.info",
"line_number": 176,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 178,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 227,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_n... |
549509363 | import requests
from bs4 import BeautifulSoup
# import logging
# from logging.handlers import RotatingFileHandler
# import subprocess
# import pymongo
# from pymongo import MongoClient
from datetime import datetime
import re
import csv
# logger = logging.getLogger()
# logger.setLevel(logging.DEBUG)
# formatter = loggin... | null | debenham/debenham_rates.py | debenham_rates.py | py | 2,676 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
117904183 | import matplotlib.pyplot as plt
def plot_data(data, name, file):
plt.figure()
plt.plot(range(len(data)), data[:,0], label="Training Set")
plt.plot(range(len(data)), data[:,1], label="Validation Set")
plt.plot(range(len(data)), data[:,2], label="Test Set")
plt.legend(loc='best')
plt.title("%s H... | null | ECE521-master/Assignment 2/plot.py | plot.py | py | 977 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplo... |
491590686 | import glob
import os
import self_awareness as sf
debug_mode = "off"
def get_absolute_path(*args):
fallback_output = "unable to get path"
log = ""
try:
relative_path = args[0]
if isinstance(relative_path, str):
fallback_output = relative_path
except Exception as e:
... | null | helper_funcs.py | helper_funcs.py | py | 3,521 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.realpath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_numb... |
334226015 | # encoding: UTF-8
import datetime
import time
import json
import os
import jpype
from jpype import *
from vnpy.trader.vtGateway import *
from vnpy.trader.vtFunction import getJsonPath
from language import text
from vnpy.api.geya.geyaApi import GeyaBase
SYMBOL_XAUUSD = 'XAUUSD'
SYMBOL_XAGUSD = 'XAGUSD'
SYMBOL_MAP = {... | null | vnpy/trader/gateway/geyaGateway/geyaGateway.py | geyaGateway.py | py | 15,616 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "vnpy.trader.vtFunction.getJsonPath",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "language.text.LOADING_ERROR",
"line_number": 156,
"usage_type": "attribute"
},
{
"api_name": "language.text",
"line_number": 156,
"usage_type": "name"
},
{
... |
306902335 | try:
import config_local as config
except:
import config
from datetime import datetime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine, ForeignKey
from sqlalchemy import Column, Integer, String, DateTime, Text
from sqlalchemy.orm import sessionmaker, scoped_sessio... | null | model.py | model.py | py | 4,719 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.DB_URI",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.orm.scoped_session",
"line_number": 16,
"usage_type": "call"
},
{
"api_nam... |
569380448 | import A1_image_filtering
import cv2
import numpy as np
import time
IMAGE_FILE_NAME_LIST = ["lenna.png", "shapes.png"]
def compute_image_gradient(img):
filtered_img = A1_image_filtering.cross_correlation_2d(img,A1_image_filtering.get_gaussian_filter_2d(7,1.5))
sovel_xx = [[-1,0,1]]
sovel_xy = ... | null | CV_A1/A1_edge_detection.py | A1_edge_detection.py | py | 3,455 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "A1_image_filtering.cross_correlation_2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "A1_image_filtering.get_gaussian_filter_2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "A1_image_filtering.cross_correlation_1d",
"line_number": 16,
... |
183710655 | #edit by Zhang Kun@20180527
#Graduate School at Shenzhen, Tsinghua University
# -*- coding: UTF-8 -*-
import h5py
import numpy as np
import tensorflow as tf
import os
import random
from tensorflow.python import debug as tf_debug
os.environ["CUDA_VISIBLE_DEVICES"] = "2"
INITIAL_LEARNING_RATE = 0.0001 # Initial l... | null | reference/icassp2018_attention_based_std.py | icassp2018_attention_based_std.py | py | 13,895 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "random.shuffle",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"l... |
524313640 | # This script contains the functions used for plotting different plots in
# other scripts used for evaluation.
# Author: Shweta Narkhede and Camilo Salcedo
# Created on: Oct 24th, 2020
# Edited by: Benjamin Mitchell, Quinn Hull
# Edited on: Nov 15th, 2020
# %%
import pandas as pd
import os
import numpy as np
import m... | null | evaluation_scripts/plot_functions.py | plot_functions.py | py | 21,655 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "mat... |
274023298 | from tkinter import *
from functools import partial
def click(botao):
print(botao['text'])
janela = Tk()
bt1 = Button(janela, width=20, text='Botão 1')
bt1['command'] = partial(click, bt1)
bt1.place(x = 100, y = 100)
bt2 = Button(janela, width=20, text='Botão 2')
bt2['command'] = partial(click, bt2)
... | null | aula7.py | aula7.py | py | 411 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "functools.partial",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 13,
"usage_type": "call"
}
] |
100619939 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
def convert2cpu(gpu_matrix):
return torch.FloatTensor(gpu_matrix.size()).copy_(gpu_matrix)
def bbox_iou(boxes1, boxes2, x1y1x2y2=True):
if x1y1x2y2:
mx = torch.min(boxes1[0], boxes2[0])
Mx = torch.max(boxes1[2], box... | null | ears_right/region_loss.py | region_loss.py | py | 9,347 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.FloatTensor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 1... |
323408892 | #coding: utf-8
from flask import Flask, request, g, render_template, redirect, url_for
from datetime import datetime
import sqlite3, os
app = Flask(__name__)
DATABASE = 'message.db'
@app.route('/')
def index():
cursor = get_db().cursor()
cursor.execute('select * from message order by post_time desc, author')... | null | 0023/0023.py | 0023.py | py | 1,683 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request... |
234501225 | from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse, HttpResponseRedirect
from .models import Prisoner
from django.template import loader
from django.shortcuts import redirect
from django.contrib.auth.decorators import login_required
@login_required(login_url='/login/',... | null | prisoner_list/views.py | views.py | py | 2,139 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Prisoner.objects.order_by",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Prisoner.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.Prisoner",
"line_number": 13,
"usage_type": "name"
},
{
"api... |
431578205 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
get_ipython().run_line_magic('matplotlib', 'inline')
# ** Read in the Ecommerce Customers csv file as a DataFrame called customers.**
customers = pd.read_csv('Ecommerce Customers')
# **Check the head of customers, and check... | null | Linear_Regression_ECommerce.py | Linear_Regression_ECommerce.py | py | 1,872 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seaborn.jointplot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "seaborn.jointplot"... |
57569841 | from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import cross_val_score
from sklearn import svm
import pandas as pd
# Purpose: Use svm Classifier and k-fold cross-validation. ... | null | 320180941841-wuyang/homework11/iris_process.py | iris_process.py | py | 2,642 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
174409185 | #
# Usage:
# import runtest
# runtest.run(testcommands, outputfile,
# menuprompt=None, default "OS/161 kernel [? for menu]: "
# shellprompt=None, default "OS/161$ "
# conf=None, default is sys161 default behavior
# ram=None, default is per sys161 config
# ... | null | root/testscripts/runtest.py | runtest.py | py | 6,552 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pexpect.EOF",
"line_number": 97,
"usage_type": "attribute"
},
{
"api_name": "pexpect.TIMEOUT",
"line_number": 98,
"usage_type": "attribute"
},
{
"api_name": "pexpect.EOF",
"line_number": 104,
"usage_type": "attribute"
},
{
"api_name": "pexpect.TIMEO... |
42089129 | ###########################################
#
# Example script to build a
# pinout diagram. Includes basic
# features and convenience classes.
#
###########################################
from pinout.core import Diagram, Group, Rect, Image
from pinout.components.pinlabel import PinLabelGroup, PinLabel
from pinout.com... | null | pinout/resources/quick_start/pinout_diagram.py | pinout_diagram.py | py | 2,916 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pinout.core.Diagram",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pinout.core.Rect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pinout.core.Group",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pinout.core.Re... |
233203497 | import datetime
from uuid import uuid1
import numpy as np
from backend.models import Video, DjangoUser, VideoRating, UserInformation, UserPreferences, \
VideoRatingPrivacy
from backend.rating_fields import VIDEO_FIELDS
from helpers import login, logout, test_username, create_test_video, \
random_alphan... | null | integration_test/test_search_filter.py | test_search_filter.py | py | 10,838 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "backend.models.DjangoUser.objects.create",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "backend.models.DjangoUser.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "backend.models.DjangoUser",
"line_number": 18,
"usage_typ... |
515509084 | import torch
import numpy as np
from torch.autograd import Variable
from chinese import chinese
from config import RESULT_FILE, IMPROVED_RESULT_FILE, TEST_GOLD, TEST_FILE, MAX_LEN, BIGRAM
class Eval(object):
def __init__(self, da_idx, BATCH_SIZE):
self.da_idx = da_idx
self.BATCH_SIZE = BATCH_SIZ... | null | evaluate.py | evaluate.py | py | 10,496 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.asarray",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 119,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"li... |
99516730 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
from flask import Flask, render_template, request, redirect, session, g, flash, url_for
import sqlite3
import validators
import os
import requests
app = Flask(__name__)
app.config.from_object(__name__)
app.config.update(dict(
DATABASE=os.path.join(app.root_path, '... | null | bookcatalogue.py | bookcatalogue.py | py | 6,120 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_num... |
251233460 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import unicode_literals
from datetime import datetime
from typing import Text
import pytest
import six
from pkg_resources import DistributionNotFound
from pkg_resources import get_distribution
def _version(): # type: () -> Text
try:... | null | src/pytest_print/__init__.py | __init__.py | py | 2,102 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "six.text_type",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pkg_resources.get_distribution",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pkg_resources.DistributionNotFound",
"line_number": 17,
"usage_type": "name"
},
{
"a... |
301673029 | import discord
import logging
from self_chat import chatbot_response_b
from random import randint
client = discord.Client()
step=0
@client.event
async def on_ready():
print('We have logged in as {0.user}'.format(client))
@client.event
async def on_message(message):
global step
if message.content.startswi... | null | Discord Bot NLP/bot.py | bot.py | py | 777 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.Client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "self_chat.chatbot_response_b",
"line_number": 17,
"usage_type": "call"
}
] |
413982278 | from django.contrib.auth import authenticate
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from chat.models import Chat
from django.contrib.auth.models import User
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework ... | null | chat/views.py | views.py | py | 3,554 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 25,
"usage_type": "... |
611315447 | import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
from tristan_funcs_vecpot import vecpot2
import h5py
from scipy.ndimage.filters import gaussian_filter
plt.set_cmap('RdBu')
plt.rcParams['mathtext.fontset'] = 'stix'
plt.rcParams['font.family'] = 'STIXGeneral'
plt.rcParams.upd... | null | smooth_xpoint_detect_rot90.py | smooth_xpoint_detect_rot90.py | py | 6,016 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.set_cmap",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
264163053 | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.utils import cint, cstr, flt
from frappe import _
from frappe.model.document import Document
from operator import itemgetter
... | null | formis/formis/doctype/formisbom/formisbom.py | formisbom.py | py | 15,279 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "frappe.model.document.Document",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "frappe.db.sql_list",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "frappe.db",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "frap... |
416261428 | """ KNN - Telecommunications Dataset
KNN is a supervised learnig algorithm used for classification, based on the correpsonding points of a given data points. Once a point is to be predicted, it take into account the 'k' nearest points to determine its classification. """
import matplotlib.pyplot as plt
import numpy as ... | null | KNN.py | KNN.py | py | 2,847 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 23,
"usage_type": "name"
},
{
"api_na... |
133539001 | # -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import NoAlertPresentException... | null | facebook archived saves removal.py | facebook archived saves removal.py | py | 2,447 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "... |
270410244 | """
fotochest.apps.photo_manager.urls
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:license: MIT, see LICENSE for more details.
"""
from django.conf.urls import patterns, url
from fotochest.apps.photo_manager import views, feeds
urlpatterns = patterns('',
# Public URLS
url(r'^$', views.HomepageListView.as_view(), na... | null | fotochest/apps/photo_manager/urls.py | urls.py | py | 1,429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fotochest.apps.photo_manager.views.HomepageListView.as_view",
"line_number": 16,
"usage_ty... |
376556241 | from django.db import models
from django.conf import settings
from carro.models import Carro
from django.contrib.auth.models import User
from cliente.models import Direccion
# Create your models here.
class Orden(models.Model):
ESTADO = (
('1','Esperando Pago'),
('2','Cancelado'),
('3','Enviado'),
('4','Pago ... | null | orden/models.py | models.py | py | 1,098 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
418131302 | import boto3
import time
import json
import logging
from typing import Dict, Optional
from botocore.exceptions import ClientError
from config import CONFIG
client = boto3.client("sqs", region_name="ap-northeast-2")
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s : %(message)s',
... | null | model_nlp/src/utils/sqs.py | sqs.py | py | 4,390 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger"... |
72917107 | import collections
from cffi import FFI
from enum import IntEnum
import os
import sys
__all__ = ['Options', 'Info', 'Entry', 'FTS']
def _cmp(x, y):
if x < y:
return -1
elif y < x:
return 1
else:
return 0
def key_to_cmp(key, reverse=False):
if key:
if reverse:
... | null | fts.py | fts.py | py | 12,549 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "enum.IntEnum",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "cffi.FFI",
"line_number": ... |
449547060 | import pandas as pd
import numpy as np
import copy
from ann2 import Net
from replicate import replicate_data
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import KFold
from train import train
import csv
# Load training data as pd dataframe and convert pd dataframe into numpy array.
tra... | null | ANN_Stopping_kfold/2HL_k_fold_cross_validation_hn-e.py | 2HL_k_fold_cross_validation_hn-e.py | py | 5,098 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_excel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sk... |
592019435 | from lib.clients import Clients
class Repository(Clients):
def __init__(self, slug, sticky_branch):
super().__init__()
self.slug = slug
self.sticky_branch = sticky_branch
self.slug_encoded = slug.replace('/', '%2F')
self.travis_url = self._Clients__travis_client.get_repo_ur... | null | lib/repository.py | repository.py | py | 4,079 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lib.clients.Clients",
"line_number": 4,
"usage_type": "name"
}
] |
325779110 | # -*- coding: utf-8 -*-
# Copyright 2020 Minh Nguyen (@dathudeptrai)
#
# 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 req... | null | bin/dump_duration.py | dump_duration.py | py | 14,545 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.list_physical_devices",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": ... |
240954815 | from __future__ import print_function
import torch
import torch.backends.cudnn as cudnn
from torch.autograd import Variable
import torch.nn.functional as F
from data import base_transform, VID_CLASSES, VID_CLASSES_name, MOT_CLASSES
from ssd import build_ssd
from layers.modules import AttentionLoss
import os
import t... | null | test_video.py | test_video.py | py | 10,108 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "time.time",
"li... |
141011904 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
from xml.etree import ElementTree
from lxml import etree
import requests as rq
def dfs(element, level, colors):
level += 1
for child in element:
if child.attrib['color'] == 'blue':
colors[2] += level
if child.attrib['color'] == 'red... | null | module3/xml(1).py | xml(1).py | py | 782 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 24,
"usage_type": "name"
}
] |
74466009 | import torch
import torch.nn as nn
import pandas as pd
import numpy as np
from useless_ids import useless_ids
from collections import Iterable
class SplitBaselineConfig:
def __init__(self,
atlas_roi_path="atlas_roi.csv",
atlas=["AAL"],
ctype="all",
out_dim = 3,
... | null | code_sub/splitbaseline.py | splitbaseline.py | py | 4,453 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.Iterable",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "pandas.read_csv",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "useless_ids.useless_ids",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "nump... |
571616389 | import unittest
from mock import MagicMock
from troposphere import (
Base64,
Ref,
)
from stacker.blueprints.base import (
Blueprint,
CFNParameter,
build_parameter,
get_local_parameters,
)
from stacker.blueprints.variables.types import (
CFNString,
EC2AvailabilityZoneNameList,
)
from st... | null | stacker/tests/blueprints/test_base.py | test_base.py | py | 12,254 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "stacker.blueprints.base.get_local_parameters",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "stacker.exceptions.MissingLocalParameterException",
"line_number": 42,
... |
414012672 | #!/usr/bin/env python
# See: https://github.com/fiedl/hole-ice-study/issues/57
# import code; code.interact(local=dict(globals(), **locals())) # like binding.pry
import sys
import pandas
flasher_data_file = "~/icecube/flasher-data/oux.63_30"
flasher_data = pandas.read_csv(flasher_data_file, delim_whitespace = True... | null | scripts/lib/plot_number_of_hits_on_all_neighbouring_strings.py | plot_number_of_hits_on_all_neighbouring_strings.py | py | 2,428 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "glob2.glob",
"line_nu... |
252887051 | import tensorflow as tf
from gqn.gqn_model import gqn_draw_model_fn
from gqn.gqn_params import GQN_DEFAULT_CONFIG, create_gqn_config
from data_provider.gqn_tfr_provider import gqn_input_fn
import matplotlib.pyplot as plt
import numpy as np
MODEL_DIR='/home/cylee/gqn/models'
DATA_DIR='/home/cylee/gqn/gqn-dataset'
DATAS... | null | www.py | www.py | py | 1,137 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gqn.gqn_params.GQN_DEFAULT_CONFIG",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tensorflow.estimator.Estimator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.estimator",
"line_number": 15,
"usage_type": "attribute"
},... |
98556511 | import torch
import torch.nn.functional as F
from torch_geometric.data import Data
from gnn import Graph
import json
import string
import pickle
import random
random.seed(1234)
torch.manual_seed(1234)
torch.cuda.manual_seed_all(1234)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
import argpa... | null | code-BC5CDR/propagate.py | propagate.py | py | 8,256 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed_all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",... |
204629126 | from db import db
import datetime
class RequestModel(db.Model):
__tablename__ = 'requests'
request_types = ["stub", "Coffee", "Lunch", "Movie","Beer","Game"]
id = db.Column(db.Integer, primary_key=True)
request_state = db.Column(db.Integer)
request_type = db.Column(db.Integer)
reques... | null | models/requests.py | requests.py | py | 6,194 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "db.db.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "db.db.Column",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "db.db",
"line_number": 8,
"u... |
495713248 | ## we are going to create a simple protocol for our for actions
# put - Put something into the space
# get - Retrieve something from the space to be processed, i.e. nobody else
# can then retrieve or read it
# read - As for get, but a copy stays in the space for others to read, or get
# get_wait - like get but wa... | null | client.py | client.py | py | 3,345 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.stdout... |
355548407 | # -*- coding: utf-8 -*-
# FeedCrawler
# Projekt von https://github.com/rix1337
import configparser
class CrawlerConfig(object):
_DEFAULT_CONFIG = {
'FeedCrawler': [
("auth_user", "str", ""),
("auth_hash", "str", ""),
("myjd_user", "str", ""),
("myjd_pass", ... | null | feedcrawler/config.py | config.py | py | 5,812 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "configparser.RawConfigParser",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "configparser.DuplicateSectionError",
"line_number": 116,
"usage_type": "attribute"
}
] |
503176092 | from flask import Flask, redirect, url_for
def created_app(config=None):
app = Flask(__name__)
if config is not None:
app.config.from_object(config)
from dashboard.views import dashboard
app.register_blueprint(dashboard, url_prefix='/dashboard')
@app.route('/')
def home()... | null | app.py | app.py | py | 362 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "dashboard.views.dashboard",
"line_number": 10,
"usage_type": "argument"
}
] |
325690417 | import telebot
import googletrans
from googletrans import Translator
import config
bot = telebot.TeleBot(config.TOKEN)
translator = Translator()
@bot.message_handler(commands=['start'])
def send_welcome(message):
bot.reply_to(message, "Привет, я бот-переводчик с любого языка на английский, введи слово или фразу - и ... | null | bot.py | bot.py | py | 882 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "telebot.TeleBot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "config.TOKEN",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "googletrans.Translator",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "googletrans.LAN... |
38919193 | import random
from typing import Callable
import pygame
from text_surface_rectangle import Colors, TextRec
from input_data import Answer, Question
class Round:
def __init__(self, setup: Callable, question: Question, answer: Answer):
self.question = question
self.answer = answer
# For que... | null | rounds.py | rounds.py | py | 3,737 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.Callable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "input_data.Question",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "input_data.Answer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "text_surface_re... |
34551212 | import base64
import time
import os
import cv2
from flask import Flask, request, render_template
import re
from ImageProcess.ImageProcess import ImageProcess , Calibration
from ArduinoSerial import ArduinoSerial
from PIL import Image
from io import StringIO, BytesIO
import numpy as np
app = Flask(__name__)
app.config[... | null | server.py | server.py | py | 1,811 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.render_... |
582111206 | from itertools import groupby
import numpy as np
from os import listdir, makedirs
from os.path import exists, isdir, join
import vtk
from vtk.util.numpy_support import vtk_to_numpy, numpy_to_vtk
from ramos.io.Base import DataSource, DataSink
from ramos.utils.vectors import decompose
from ramos.utils.vtk import mass_ma... | null | ramos/io/VTKTimeDirs.py | VTKTimeDirs.py | py | 4,013 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ramos.io.Base.DataSource",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "vtk.vtkDataSetReader",... |
59115259 | import xml.etree.ElementTree as ET
import urllib
from bs4 import BeautifulSoup
import urllib2
import ssl
import json
import eventlet
import shelve
def remove_non_ascii(text):
return ''.join([i if ord(i) < 128 else ' ' for i in text])
d = shelve.open("thedictionary")
bookset = set();
urllist = [];
tree = ET.parse('... | null | Scrapper.py | Scrapper.py | py | 1,266 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "shelve.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "urllib.... |
235407483 | #!/usr/bin/python
import datetime, openpyxl as xl, os
from argparse import Namespace
import code
import operator, collections, re, argparse
#Django Imports
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction, connection
import contacts.models as cont
import backend.mode... | null | utils/management/commands/tools.py | tools.py | py | 4,612 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 37,
"usage_type": "attribute"
},
{
... |
12890024 | import os
from flask import send_file
from openpyxl import Workbook
from amdos import app
from amdos.models import Time
def get_stats(t: Time):
wb = Workbook()
wb.active.title = str(t.time_start.strftime('%d-%m-%Y %H-%M'))
ws = wb.active
ws['A1'] = "ID"
ws['B1'] = "Type"
ws['C1'] = "Seat"
... | null | amdos/routes/stats.py | stats.py | py | 1,321 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "amdos.models.Time",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "amdos.models.Time.query.get_or_404",
"line_number": 46,
"usage_type": "call"
},
{
"api_name":... |
389289717 | import numpy as np
from scipy.spatial import distance_matrix
def pq(data, P, init_centroids, max_iter):
data = np.array(data, dtype='float32')
init_centroids = np.array(init_centroids, dtype='float32')
N, M = data.shape
K = 256
MP = int(M / P)
result_centroids = np.array([])
for i in rang... | null | Project/submission.py | submission.py | py | 3,700 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance_matrix",
... |
573429282 | #!/usr/bin/env python
"""
Created:
Author: ???
Date: ???
Description: (LRP)
EMIR ETC python main script. These routines consists of an underlying python
script to claculate exposure times for EMIR Photometry and Spectroscopy with
a wrapper (also in python) to make the scripts usable online
The underlying python script... | null | etc_gui.py | etc_gui.py | py | 36,461 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "optparse.OptionParser",
"li... |
187170802 | import pygame
LABELS = ['Название', 'Новая игра', 'Продолжить', 'Достижения', 'Настройки', 'Выход']
pygame.init()
w, h = 800, 500
screen = pygame.display.set_mode((w, h))
clock = pygame.time.Clock()
pygame.display.set_caption('Super Game')
font = pygame.font.Font(None, 25)
q = True
while q:
for event in pygame.ev... | null | Game/Game_Menu.py | Game_Menu.py | py | 1,385 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cloc... |
511306261 | from django.urls import path
from login import views
urlpatterns = [
path('acceso/', views.acceso, name="acceso"),
path('acceso/listadousuarios/', views.listaUsuarios, name="listadousuarios"),
path('acceso/editarusuario/<str:id>/', views.editarusuario, name="editarusuario"),
path('acceso/actualizarusu... | null | login/urls.py | urls.py | py | 533 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "login.views.acceso",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "login.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
127055147 | from django.core.management import BaseCommand
from api.tasks import run_scrapers_nightly
class Command(BaseCommand):
help = 'Runs all of the scrapers. Good for setting up a development machine with new data.'
def handle(self, *args, **options):
self.stdout.write('Scraping Brigades and Projects fro... | null | api/management/commands/take_snapshot.py | take_snapshot.py | py | 491 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "api.tasks.run_scrapers_nightly",
"line_number": 11,
"usage_type": "call"
}
] |
501737759 |
import sqlalchemy
def getDiffOfModelAgainstDatabase(model, conn, excludeTables=None):
''' Return differences of model against database.
Returned object will evaluate to True if there are differences else False.
'''
return SchemaDiff(model, conn, excludeTables)
def getDiffOfModelAgainstModel(... | null | sqlalchemy-migrate/migrate/versioning/schemadiff.py | schemadiff.py | py | 6,811 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 30,
"usage_type": "call"
}
] |
572848560 | import os
import pandas as pd
import numpy as np
import urllib.request
import io
import zipfile
import json
DATA_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'data')
def load_zip_get_file(url, file, decoder='utf-8'):
"""
Load a zipfile from a URL and extract a single file. Note that ... | null | pyseir/load_data.py | load_data.py | py | 7,445 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_nu... |
73492358 | import re
import urllib
import httplib2
from urllib3.exceptions import TimeoutError
from log import warning, stopped
# MOST OF THE CODE WAS CODE TAKEN FROM YOUTUBE-DL AND OR CHANGED TO FIT HERE. CREDIT TO THE AUTHORS OF YOUTUBE-DL.
# YOU WILL NEED PYTHON 3 FOR THIS.
def download_website(url, Headers=None, RequestM... | null | CLIENT/PYTHON-FILES/utils.py | utils.py | py | 2,331 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "urllib.request.Request",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "log.stopped",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "urllib.requ... |
435063841 | import os
import sys
from pygit2 import Repository
from controller.main_loop import MainLoop
from misc.events_dispatcher import EventsDispatcher
from misc.pubsub import PubSub
from config import *
from drawer.drawer import Drawer
class Main:
def __init__(self):
pubsub = PubSub()
events_dispatcher... | null | controller/main.py | main.py | py | 1,862 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "misc.pubsub.PubSub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "misc.events_dispatcher.EventsDispatcher",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygit2.Repository",
"line_number": 17,
"usage_type": "call"
},
{
"api_... |
67963023 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Profile(models.Model):
user = models.OneToOneField(User, blank=True, on_delete=models.CASCADE)
phone = models.IntegerField(null=True, blank=True)
designation = models.CharField(max_length=100, null=Tru... | null | employees/models.py | models.py | py | 645 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name... |
150421507 | ######################################
# Authors: Nick Baquer, Paco Frantzen, Maximilian Meijkamp, Dario van Wagensveld, Mustafa Wahid and Andreas Zafiropoulos
# TU Delft, March 2020, AE3212-II Simulation, Verification and Validation group A10
# Python Script. numericalmodel.py. retrieved from https://github.com/MaxMei... | null | numerical_tools.py | numerical_tools.py | py | 1,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.asarray",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.vectorize",
"line_n... |
452811035 | from toolchain import Recipe, shprint
from os.path import join, exists
import sh
import os
import fnmatch
import shutil
class HostSetuptools3(Recipe):
depends = ["openssl", "hostpython3"]
archs = ["x86_64"]
url = "setuptools"
def prebuild_arch(self, arch):
hostpython = sh.Command(self.ctx.hos... | null | kivy-ios/recipes/host_setuptools3/__init__.py | __init__.py | py | 1,243 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "toolchain.Recipe",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sh.Command",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sh.curl",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "toolchain.shprint",
"line_numb... |
546977789 | """
Write a function that merges integer from sorted files and returns an iterator
file1.txt:
1
3
5
file2.txt:
2
4
6
>>> list(merge_sorted_files(["file1.txt", "file2.txt"]))
[1, 2, 3, 4, 5, 6]
"""
from pathlib import Path
from typing import Iterator, List, Union
def merge_sorted_files(file_list: [str, str]) -> Iterat... | null | homework9/task1.py | task1.py | py | 811 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.Iterator",
"line_number": 18,
"usage_type": "name"
}
] |
610779244 | '''loading and interpreting game data'''
import sys
from os.path import normpath
from importlib import import_module
from rpyg.world import *
class Loader:
def __init__(self, path='.', package='data'):
self.path = path
self.package = package
self._data = None
def load(self):
... | null | rpyg/data.py | data.py | py | 1,428 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "importlib.import_modul... |
571199195 | # importing required libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from statsmodels.tsa.stattools import adfuller
from statsmodels.tsa.seasonal import seasonal_decompose
from statsmodels.tsa.arima_model import ARIMA
from sklearn.model_selection import TimeSeriesSplit
def tes... | null | WebSensor/project/testTS.py | testTS.py | py | 3,704 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matpl... |
433313155 | import time
import miio
import logging
import io
from datetime import timedelta
from .xiaomi_cloud_connector import XiaomiCloudConnector
from .const import *
import voluptuous as vol
from homeassistant.const import CONF_HOST, CONF_NAME, CONF_TOKEN, CONF_USERNAME, CONF_PASSWORD
from homeassistant.helpers import config_... | null | custom_components/xiaomi_cloud_map_extractor/camera.py | camera.py | py | 5,583 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "voluptuous.Or",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "voluptuous.All",
... |
419030188 | import logging
import discord
from discord import RawReactionActionEvent
from discord.ext import commands
from cogs.utilities import credential_checks
from model.model import *
log = logging.getLogger(__name__)
async def _get_roles_from_iterable(iterable, guild: discord.Guild):
roles_to_provide = ... | null | cogs/admin.py | admin.py | py | 23,231 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.Guild",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "discord.Member",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "discord.Memb... |
560996084 | from os import path, makedirs
from io import open
from json import load, dump
from .classes import TranslationDictionary
from multiprocessing.managers import BaseManager
dicFolder = "translations"
def getDictionaries (manager):
mainDict = {}
for c in TranslationDictionary.contextNames:
dictionary = ge... | null | lib/dictionaryLoader.py | dictionaryLoader.py | py | 3,165 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "classes.TranslationDictionary.contextNames",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "classes.TranslationDictionary",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "classes.TranslationDictionary.contextNames",
"line_number": 19,... |
140150669 | # -*- coding: utf-8 -*-
from collections import OrderedDict
from django.conf import settings as django_settings
from django.utils.translation import ugettext_lazy as _, get_language
from django.utils.formats import date_format
from django.utils.safestring import mark_safe
from django.utils.translation import string_con... | null | sukutomo/magicollections.py | magicollections.py | py | 43,280 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "magi.magicollections.PrizeCollection",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "magi.magicollections.DonateCollection",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "magi.magicollections.AccountCollection",
"line_number": 48,
"u... |
160087843 | # Import necessary libraries
from pyimagesearch.centroidtracker import CentroidTracker
from imutils.video import VideoStream
import imutils
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import numpy as np
import argparse
import cv2
import tkinter
# Construct the argume... | null | charlie.py | charlie.py | py | 8,395 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyimagesearch.centroidtracker.CentroidTracker",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 52,
"usage_type": "call"
},... |
232810622 | from binascii import unhexlify
import requests
from twisted.internet.defer import fail
from dappcrowd.database import DAppCrowdDatabase
from dappcrowd.tc_database import DAppCrowdTrustChainDatabase
from pyipv8.ipv8.attestation.trustchain.community import TrustChainCommunity
from pyipv8.ipv8.attestation.trustchain.lis... | null | dappcrowd/community.py | community.py | py | 7,596 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyipv8.ipv8.attestation.trustchain.community.TrustChainCommunity",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pyipv8.ipv8.peer.Peer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "binascii.unhexlify",
"line_number": 15,
"usage_typ... |
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