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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
483443285 | from flask import Flask, render_template
from flask import request
import MySQLdb
import os
db = MySQLdb.connect(host="sl-us-south-1-portal.51.dblayer.com", user="admin", passwd="OQSHOASFABTZULZH", port=19864 )
cur = db.cursor()
cur.execute("SHOW DATABASES")
cur.execute("USE StudentDatabase")
cur.execute("SELECT * FRO... | null | flaskapp.py | flaskapp.py | py | 948 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "MySQLdb.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.form",... |
122097611 | from .models import Noticia, MensagemDeContato
from django.shortcuts import render, get_object_or_404
from django.views.generic import ListView
from django.http import HttpResponse
from django.shortcuts import render
from django.http import Http404
from django.urls import reverse
from django.views.generic import FormVi... | null | app_noticias/views.py | views.py | py | 1,806 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Noticia",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.Noticia.objects.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name"... |
65692826 |
"""
Demonstrates using the .move_to() method.
"""
# Import
from lab.cnc import CNC
# Initialize
cnc = CNC()
cnc.home()
# Set points to go travel to
points = [(100, 200, 0),
(200, 100, 100),
(300, 400, 0),
(400, 200, 100)]
# Move CNC to points
for point in points:
... | null | jetson/examples/cnc/basic_move.py | basic_move.py | py | 382 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lab.cnc.CNC",
"line_number": 10,
"usage_type": "call"
}
] |
286939555 | import numpy as np
import matplotlib.pyplot as plt
#载入数据
def loadDataSet(fileName):
numFeat=0
dataMat,labelMat=[],[]
with open(fileName,'r',encoding='utf8') as fr:
lines=fr.readlines()
for line in lines:
lineArr=[]
curLine=line.strip().split()
numFeat=len(... | null | 智能算法/回归/岭回归.py | 岭回归.py | py | 2,011 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.mat",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 21,
... |
287907775 | # coding: utf-8
"""
IMDb-API
The IMDb-API Documentation. You need a <a href='/Identity/Account/Manage' target='_blank'><code>API Key</code></a> for testing APIs.<br/><a class='link' href='/API'>Back to API Tester</a> # noqa: E501
OpenAPI spec version: 1.5
Contact: support@imdb-api.com
Generated ... | null | swagger_client/models/wikipedia_data.py | wikipedia_data.py | py | 9,960 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.iteritems",
"line_number": 330,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 355,
"usage_type": "call"
}
] |
544262392 | import numpy as np
from skimage.segmentation import find_boundaries
from skimage.morphology import binary_dilation, disk
def make_boundary_image(L, A, thickness=1, color=(255,255,85), rescale_hist=True):
'''
Marks borders of segmentation on the original image so that borders can
be evaluated. Similar to sk... | null | imagemks/visualization/borders.py | borders.py | py | 1,415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.stack",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.interp",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.amin",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_number": 3... |
478286374 | #!/usr/bin/python
import telebot
import logging
import os
import subprocess
logger = telebot.logger
telebot.logger.setLevel(logging.ERROR) # Outputs debug messages to console.
TOKEN = ''
bot = telebot.TeleBot(TOKEN)
updates = bot.get_updates()
updates = bot.get_updates(1234,100,20)
def stat(text):
cmd = text.spli... | null | teleapprestart.py | teleapprestart.py | py | 1,138 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "telebot.logger",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "telebot.logger.setLevel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "telebot.logger",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
483481424 | from collections import OrderedDict
s = input().split()
count = OrderedDict()
# init
for s_i in s:
count[s_i] = 0
# count
for s_i in s:
count[s_i] += 1
for k, v in count.items():
print(k, v)
| null | paiza/tC02.py | tC02.py | py | 206 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.OrderedDict",
"line_number": 3,
"usage_type": "call"
}
] |
435721061 | import spacy
import random
import pandas as pd
import requests
import wikipedia
from bs4 import BeautifulSoup
from flask import Flask, request
from datetime import datetime
app = Flask(__name__)
@app.route('/')
def home():
return HOME_HTML
HOME_HTML = """
<html><body>
<h2>Welcome to A.I. Testing<br>... | null | torah_test.py | torah_test.py | py | 5,105 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
326601117 | import tensorflow as tf
import numpy as np
import sys
from PIL import Image
from keras.utils import np_utils
def LoadVGG16():
return tf.keras.applications.vgg16.VGG16(include_top=False, weights='imagenet', input_shape=(224,224,3))
def CheckImgData(img):
print(img.format, img.size, img.mode)
img.show()
def BuildMo... | null | vgg16/transfer_vgg16.py | transfer_vgg16.py | py | 1,274 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.applications.vgg16.VGG16",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 16,
"usage_type": "call... |
215421800 | from keras.models import Model
from keras.layers import Input, Dense, Embedding, SpatialDropout1D, concatenate
from keras.layers import GRU, Bidirectional, GlobalAveragePooling1D, GlobalMaxPooling1D
from keras.optimizers import Adam
from keras.preprocessing import text, sequence
import numpy as np
def get_model(op... | null | sentiment_analysis/models/PooledGru.py | PooledGru.py | py | 1,495 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.layers.Input",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.layers.Embedding",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.layers.SpatialDropout1D",
"line_number": 16,
"usage_type": "call"
},
{
"api_name"... |
652355172 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from conf import headers
import requests
import re
from conf import proxies
#proxies = {"http": "http://127.0.0.1:8080"}
from conf import host
def utf2gbk(istring):
return istring
#return istring.decode("utf8").encode("gbk")
def login2evalu(zjh, zgpj):
sessio... | null | vendor/evaluation.py | evaluation.py | py | 1,892 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Session",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "conf.host",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "conf.headers",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "conf.proxies",
"line_numb... |
609783032 | # uses the curses library to make a terminal screen that allows
# the user to communicate with Atlas Scientific boards
import curses, curses.ascii # needed to allow seperate terminal displays
import serial # required for communication with boards
import time
import os
import glob
import subprocess
from time import st... | null | pH_to_adafruit.py | pH_to_adafruit.py | py | 1,855 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.system",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Adafruit_IO.Client",
"line_number":... |
514403464 | import numpy as np
import os, glob
from keras.models import Sequential
from keras.layers.convolutional import Conv2D, Convolution2D
from keras.layers.core import Activation, Dropout, Flatten, Dense
from keras.layers.pooling import MaxPooling2D
# 카테고리 지정하기
#categories = ["chair", "camera", "butterfly", "elephant"]
cate... | null | imageHandle/test_image/caltech101_keras_02.py | caltech101_keras_02.py | py | 1,969 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number":... |
467844391 | from Engine3D import Engine
from GeometricShapes import Sphere
import pygame
from random import uniform
from opensimplex import OpenSimplex
from data.vector import Vector
b_map = {
(10, 10, 166): [-1, -.75], # Water 3
(34, 34, 189): [-.75, -.5], # Water 2
(67, 67, 222): [-.5, -.25], # Water 1
... | null | Sample7.py | Sample7.py | py | 1,861 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "Engine3D.Engine",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Geometric... |
526450817 | import hunspell
import pandas as pd
import nltk
import sys
train = pd.read_csv('train.csv.zip',encoding='utf-8').iloc[::2]
test = pd.read_csv('test.csv.zip',encoding='utf-8').iloc[::2]
data = pd.concat([train,test])
data['comment_text'] = data['comment_text'].fillna('')
tknzr = nltk.TreebankWordTokenizer()
data['tweet... | null | toxi_comments/spell_check.py | spell_check.py | py | 3,023 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.TreebankWordTokenizer... |
414454737 | from firebase import *
# from attentionguage import gauge
from flask import Flask, request, make_response
from flask import render_template
import pyautogui
from time import gmtime, strftime
from threading import Event, Thread
import sys, os
import tempfile
import uuid
from fastai.tabular import *
import numpy as np
im... | null | app/flask-screenshot.py | flask-screenshot.py | py | 4,135 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "threading.Event",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_nu... |
334762051 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 12 17:31:34 2021
@author: Sanket
"""
import boto3
ec2=boto3.resource('ec2')
for instance in ec2.instances.all():
print(
"Id: {0}\nPlatform: {1}\n Type: {2}\n Public Ipv4: {3}\nAMI: {4}\nState: {5}\n".format(
instance.id,instance.platform... | null | que2ec2.py | que2ec2.py | py | 421 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.resource",
"line_number": 10,
"usage_type": "call"
}
] |
426428004 | #!/usr/bin/env python
# coding: utf-8
import numpy as np
import math
import vertica_python
import psycopg2
import datetime
import time
import sys
import os
import shutil
import argparse
import json
from matplotlib import pyplot as plt
import logging
logging.basicConfig(
filename='/tmp/mldev-vert-model-creator.lo... | null | scripts/get-vert-metrics.py | get-vert-metrics.py | py | 8,762 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"li... |
598500456 | # WindowNode is a prototype 2 player view of a single map by @mr_w
# This file is a demonstration of WindowNode
#
# map templated from jsbain
# https://gist.github.com/jsbain/7a1a3c1b0d28c752cba8f5420255dfe6
# basic scrolling example was by Dalorbi on the forums at:
# http://omz-software.com/pythonista/forums/discu... | null | mapgame2p.py | mapgame2p.py | py | 18,127 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choice",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_numb... |
141526437 | #!/usr/bin/env python3
from flask import Flask, render_template, request, redirect, url_for, jsonify
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Table, Column, Integer, ForeignKey
from sqlalchemy.orm import relationship
import json
import sys
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI... | null | app.py | app.py | py | 2,909 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ForeignKey",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.re... |
516076362 | import os
import numpy as np
import pandas as pd
from tqdm import tqdm
import logging
from datetime import datetime
from src.pipeline.streamPipeline import StreamPipeline
from dataset.randomstream import create_random_stream
from util.util import get_stream, get_norms, get_analyze_pd, get_rList,get_cList
# DATADIR ='/... | null | symnorm/pipeline/sketchPipeline.py | sketchPipeline.py | py | 5,437 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.random.manual_seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "src.pipeline.streamPipeline.StreamPipeline",
"line_number": 20,
"usage_type": "name"
},
{
... |
580205493 | import pytest
import dice_ml
from dice_ml.utils import helpers
class TestBaseModelLoader:
def _get_model(self, backend):
ML_modelpath = helpers.get_adult_income_modelpath(backend=backend)
m = dice_ml.Model(model_path=ML_modelpath, backend=backend)
return m
def test_tf(self):
... | null | tests/test_model.py | test_model.py | py | 1,126 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dice_ml.utils.helpers.get_adult_income_modelpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dice_ml.utils.helpers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dice_ml.Model",
"line_number": 10,
"usage_type": "call"
},
{
... |
587004727 | import json
import random
import translate
import string
import secrets
import pandas as pd
from ast import literal_eval
from datetime import datetime
import os
from tqdm import tqdm
punct = '!"#$%&\'()*+-/:;<=>?@[\\]^_`{|}~'
def cleaning(txtFile):
cleaned = []
for line in txtFile:
if line != '\n':
... | null | convert_from_sample.py | convert_from_sample.py | py | 5,860 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tqdm.tqdm",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "secrets.token_hex",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number":... |
152483947 | import argparse
import json
def build_parser():
parser = argparse.ArgumentParser()
parser.add_argument('-coco', '--coco-file', required=True, type=str)
parser.add_argument('-out', '--out-file', required=True, type=str)
return parser
def get_new_categories(old_categories):
new_categories = [{"sup... | null | retinanet/correct_annotations.py | correct_annotations.py | py | 2,634 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 68,
"usage_type": "call"
}
] |
630084261 | from django.shortcuts import render
# Create your views here.
from rest_framework.views import APIView
from orders.models import OrderInfo
from rest_framework.response import Response
from rest_framework import status
from alipay import AliPay
from mall import settings
from pay.models import Payment
# 支付订单
class Pay... | null | meiduo04/mall/apps/pay/views.py | views.py | py | 3,328 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "orders.models.OrderInfo.objects.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "orders.models.OrderInfo.objects",
"line_number": 19,
"usage_type": "attr... |
84415965 | import os
import time
import markovify
import tweepy
import random
from apscheduler.schedulers.blocking import BlockingScheduler
# schedule tweets for every 6 hours
sched = BlockingScheduler()
@sched.scheduled_job('interval', minutes=360)
def timed_job():
# authenticate to twitter
consumer_key = 'xxxx'
co... | null | bot.py | bot.py | py | 1,332 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apscheduler.schedulers.blocking.BlockingScheduler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
521514891 | #!/usr/bin/env python3
"""
Report generator
"""
import os
import sys
from yaml import load, dump
try:
from yaml import CLoader as Loader, CDumper as Dumper
except ImportError:
from yaml import Loader, Dumper
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from han... | null | reports/2015-06/make_report.py | make_report.py | py | 4,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
... |
92567574 | import numpy as np
import matplotlib.pyplot as pl
import os
import sys
data_GR = np.loadtxt("./GR_monopole.dat")
data_F5 = np.loadtxt("./F5_monopole.dat")
data_GR_resc = np.loadtxt("./GR_rescaled_test.dat")
#data = np.loadtxt("GR_1fold.txt")
pl.title("GR -> F5 attempt")
pl.loglog(data_GR[:,0], data_GR[:,1], lab... | null | plots/rescaling/compare.py | compare.py | py | 895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
... |
406604691 | import functools
from torch import nn
from tools.esr import RRDB, make_layer
class RRDBNet(nn.Module):
def __init__(self, in_nc=3, out_nc=3, nf=64, nb=23, gc=32):
super(RRDBNet, self).__init__()
RRDB_f = functools.partial(RRDB, nf=nf, gc=gc)
self.conv_first = nn.Conv2d(in_nc, nf, 3, 1, 1,... | null | models/rrdbnet.py | rrdbnet.py | py | 1,190 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tools.esr.RRDB",
"li... |
623642361 | from django.db.models import F, Sum
from usaspending_api.accounts.serializers import FederalAccountByObligationSerializer
from usaspending_api.common.exceptions import InvalidParameterException
from usaspending_api.common.views import DetailViewSet
from usaspending_api.financial_activities.models import FinancialAccou... | null | usaspending_api/accounts/views/federal_obligations.py | federal_obligations.py | py | 2,502 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "usaspending_api.common.views.DetailViewSet",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "usaspending_api.accounts.serializers.FederalAccountByObligationSerializer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "usaspending_api.common.excep... |
497697067 | from .GraphicWindowSpectrum import Ui_GraphicWindowSpectrum
from pyqtgraph import SignalProxy, LinearRegionItem, InfiniteLine
from pyqtgraph.Point import Point
from numpy import sin, cos, fft, arange, pi, savetxt, linspace, zeros
from scipy import signal
from scipy.signal import square, sawtooth, gausspulse
from scipy.... | null | src/main/python/utils/GraphicWindowSpectrumLogic.py | GraphicWindowSpectrumLogic.py | py | 4,263 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "GraphicWindowSpectrum.Ui_GraphicWindowSpectrum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "GraphicWindowSpectrum.Ui_GraphicWindowSpectrum.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "GraphicWindowSpectrum.Ui_GraphicWindowSpec... |
20858358 | """
:filename: heuristics.py
:summary: Stores all heuristic and evaluation function related functions.
:authors: Akira Wang (913391), Callum Holmes (899251)
"""
########################### IMPORTS ##########################
# Standard modules
from math import inf
from copy import deepcopy
from collections import defa... | null | Chexers/Part B/code/Chexers_STATE/algorithms/heuristics.py | heuristics.py | py | 6,729 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "state.exits",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "state.PLAYER_NAMES",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "state.pieces",
"l... |
492436949 | import numpy as np
import pickle
import datetime
import random
import matplotlib.pyplot as plt
from sklearn.metrics import roc_auc_score
from torch.utils.data import DataLoader
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import f1_score
import torch
import t... | null | BRL/tension_DI/load_data.py | load_data.py | py | 4,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dgl.batch",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number... |
376891034 | import numpy as np
import matplotlib.pyplot as plt
from numpy import newaxis as na
import multiprocessing
import threading
import time
def smart_start(XX, YY, ZZ, N_WT, min_space, radius=None, random_pct=0, plot=False, seed=None):
"""Selects the a number of gridpoints (N_WT) in the grid defined by x and y,
wh... | null | topfarm/utils.py | utils.py | py | 3,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.sort",
"line_number": 49... |
65689204 | import operator
from django.contrib import comments
from django.contrib.comments import signals
from django.contrib.comments.views.comments import CommentPostBadRequest
from django.utils.html import escape
from django.template import RequestContext
from django.shortcuts import get_object_or_404, render_to_response
fro... | null | ella_comments/views.py | views.py | py | 12,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ella.core.views.get_templates_from_publishable",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ella.core.custom_urls.resolver.reverse",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ella.core.custom_urls.resolver",
"line_number": 30,
... |
129248633 | import numpy as np
import math
import copy
from sklearn.model_selection import KFold
# calculating the mean
def mean(data_set):
np_arr = np.array(data_set).astype(np.float64)
return np.mean(np_arr, axis=0)
# calculating the standard deviation
def std_dev(data_set):
np_arr = np.array(data_set).a... | null | project3/Code/Naive_Bayes/naive_bayes.py | naive_bayes.py | py | 7,101 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
575020405 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /Users/shimul/Projects/django-hyper-editor/hypereditor/settings.py
# Compiled at: 2019-04-10 07:52:53
# Size of source mod 2**32: 782 bytes
from django.conf impor... | null | pycfiles/hypereditor-0.1.0-py3-none-any/settings.cpython-36.py | settings.cpython-36.py | py | 846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.apps.apps.is_installed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.apps.apps",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "hypereditor.utils.merge_dict",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
83743981 | #!/usr/bin/env python
import datetime
import re
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from bumscrape.items import BumscrapeItem
def get_search_url(subdomain, query):
return ("http://%s.craigslist.org/search?" +
"areaID=1&subAreaID=&query=%s&catAbb=sss") %... | null | bumscrape/spiders/craigslist.py | craigslist.py | py | 2,468 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.spider.BaseSpider",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strp... |
278873076 | from helper import wait_until, mail_indexes_of
from pages.base import Page
class MailerMainPage(Page):
def __init__(self, driver):
self.delete_xpath = "//span[@class='mail-Toolbar-Item-Text js-toolbar-item-title js-toolbar-item-title-delete']"
self.compose_email_xpath = "//div[@class='mail-Compose... | null | pages/mailer_main_page.py | mailer_main_page.py | py | 2,936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pages.base.Page",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "helper.wait_until",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "helper.mail_indexes_of",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "helper.mail_i... |
167350989 | # Ignote TF Deprecation warnings (for TF < 2) & User Warnings
import tensorflow as tf
if type(tf.contrib) != type(tf): tf.contrib._warning = None
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
import warnings
warnings.simplefilter("ignore", UserWarning)
import torch
import numpy as np
import gym
from s... | null | pkg_SAC.py | pkg_SAC.py | py | 7,056 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.contrib",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compat.v1.logging.set_verbosity",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 4,
"usage_type": "attribute"
},
{... |
606377524 | import graphene
from django.db.models import Q
from .types import HumanType, Gender
from .models import Human
from .resolvers import resolver_human, resolver_humans, resolver_create_human, resolver_update_human, resolver_delete_human
class Query(graphene.ObjectType):
humans = graphene.List(
HumanType,
... | null | cookbook/cookbook/swapi/schema.py | schema.py | py | 2,386 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "graphene.ObjectType",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "graphene.List",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "types.HumanType",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "graphene.Str... |
180087597 | import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVC
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestClassifier
# Slides and resources can be found at: https://github.com/cianadeveau/BIOF509-Final
# Download Basic School Stats and Basic Oppone... | null | 04fc554f169b8720f3d8822f2bdd8762/NCAA.py | NCAA.py | py | 4,728 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pandas.DataFram... |
348547186 | # coding: utf-8
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class CreateRecordRuleResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and th... | null | huaweicloud-sdk-cloudrtc/huaweicloudsdkcloudrtc/v2/model/create_record_rule_response.py | create_record_rule_response.py | py | 10,704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "huaweicloudsdkcore.sdk_response.SdkResponse",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "six.iteritems",
"line_number": 287,
"usage_type": "call"
},
{
"api_name": "six.PY2",
"line_number": 313,
"usage_type": "attribute"
},
{
"api_name"... |
199066482 | from django.shortcuts import render_to_response
from django.http import JsonResponse, HttpResponse
import csv
import locale
from apps.listings_by_region.models import GlobalClassification
from .utils import filter_data
def index(request):
empty_maker = lambda x, y: 'empty' if len(x) == 1 and x[0] == y else x
... | null | apps/granular_screener/views.py | views.py | py | 12,479 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apps.listings_by_region.models.GlobalClassification.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "apps.listings_by_region.models.GlobalClassification.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "apps.listings_by... |
381945639 | from itertools import islice
import re
def parse(text):
return [
tuple(map(int, re.findall(r"([\-\d]+)", line)))
for line in text.strip().split("\n")
]
def h(x):
return x[1] + x[3] * 2 + x[5] * 30 + x[7] ** 200
def search(bp):
print(bp)
(
_,
ore_cost,
cl... | null | misc/advent/2022/19/d.py | d.py | py | 3,952 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.findall",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
"line_number": 35,
"usage_type": "call"
}
] |
526701849 | from mpi4py import MPI
import sys
import numpy as np
import matplotlib.pyplot as plt
import time
t0 = time.time()
comm = MPI.COMM_WORLD
size = MPI.COMM_WORLD.Get_size()
rank = MPI.COMM_WORLD.Get_rank()
name = MPI.Get_processor_name()
def circle(theta, omega, K):
return (theta + omega - K * np.sin(2 * np.pi * th... | null | Project/copy_tongue.py | copy_tongue.py | py | 1,996 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD.Ge... |
174664863 | import dateutil
from custom.succeed.reports import OUTPUT_DATE_FORMAT, CM2
from django.utils.translation import ugettext as _, ugettext_noop
from custom.succeed.utils import get_form_dict
EMPTY_FIELD = ""
class PatientInfoDisplay(object):
def __init__(self, case):
self.case = case
super(PatientIn... | null | custom/succeed/reports/patient_Info.py | patient_Info.py | py | 9,209 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dateutil.parser.parse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dateutil.parser",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 20,
"usage_type": "call"
},
{
"api_... |
260301388 | import os
from collections import defaultdict
from typing import Dict, List
import numpy as np
import orjson
import pandas as pd
from numba import types
from numba.typed import Dict as TypedDict
from numba.typed import List as TypedList
from .common import (
add_and_sort,
create_and_sort,
sort_dict_by_key... | null | ranx/data_structures/run.py | run.py | py | 10,158 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Dict",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "numba.typed.Dict.empty",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numba.typed.Dict",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "numba.types.unico... |
110133961 | #-*- coding: utf-8 -*-
import maya.cmds as rig
def resetClusterPos():
CLS = rig.ls(sl = True)
if CLS:
for CL in CLS:
CLSShape = rig.listRelatives(CL,s = True)[0]
pos = rig.xform(CL,q = True,piv = True,ws = True)
rig.setAttr(CLSShape+'.originX',pos[0])
rig... | null | OLD/COMMON/set/RIG/tools/base.py | base.py | py | 607 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "maya.cmds.ls",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "maya.cmds.listRelatives",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_num... |
110705501 | from model import Model
import itertools
import keras.optimizers
import numpy as np
from utils import get_train_test, reshape_data
from paths import get_dummy_path, get_small_path
class GridSearch:
def __init__(self, path, input_shape, verbose=1, **kwargs):
self.input_shape = input_shape
self.verb... | null | gridsearch.py | gridsearch.py | py | 3,442 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.reshape_data",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.get_train_test",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "model.Model... |
100660593 | import aiohttp
import asyncio
from bs4 import BeautifulSoup
async def bilgicek(session, url):
async with session.get(url) as response:
return await response.text()
async def basla():
async with aiohttp.ClientSession() as session:
html = await bilgicek(session, 'https://www.doviz.com/')
... | null | doviz.py | doviz.py | py | 1,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 34,
"usage_type": "call"
}
] |
321267777 | # -*- coding: utf-8 -*-
'''
Written by Daniel M. Aukes and CONTRIBUTORS
Email: danaukes<at>asu.edu.
Please see LICENSE for full license.
'''
#from setuptools import setup
from cx_Freeze import setup, Executable
import sys
import shutil
import os
import importlib
import idealab_tools.setup_tools as st
sys.path.append('... | null | setup.py | setup.py | py | 4,340 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line... |
145424040 | from lib.config.config import FLAGS, KITTI_classes, RGB_list
import numpy as np
import os
import cv2
class kitti:
def __init__(self):
self.batch_size = FLAGS.batch_size
self.indexes = {"train": 0, "val": 0, "test": 0}
self.img_name_list = []
for img_name in os.listdi... | null | lib/datasets/kitti.py | kitti.py | py | 2,673 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.config.config.FLAGS.batch_size",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "lib.config.config.FLAGS",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
511642068 | #!/usr/bin/env python3
import os
import datetime
from flask import Flask, request, abort
RESULT_FOLDER = 'resultados'
LOGFILE = 'log.txt'
app = Flask(__name__)
def salvar_arquivo(nome, result):
os.makedirs(RESULT_FOLDER, exist_ok=True)
filename = os.path.join(RESULT_FOLDER, nome) + '.csv'
with open(file... | null | scripts/server.py | server.py | py | 817 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
... |
164360250 | # Karl Gemayel
# Georgia Institute of Technology
#
# Created:
import os
import logging
import argparse
import pandas as pd
from typing import *
import random
# noinspection PyUnresolvedReferences
from Bio.Seq import Seq
import pathmagic # add path to custom library
# Custom library imports
im... | null | code/python/driver/create_hq_start_dataset.py | create_hq_start_dataset.py | py | 9,126 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sbsp_general.Environment",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "... |
109931460 | from enum import Enum
from rest_framework import serializers
from rest_framework.response import Response
def error_response(serializer, key='UNKNOWN', code=400):
"""Return an HTTP response with the error."""
return Response(serializer(key).data, status=code)
def error_serializer(name=None, erro... | null | backend/backend/api_v2/error_serializer.py | error_serializer.py | py | 2,247 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 46,
"usage_type": "attribute"
},
... |
481772711 | from django.shortcuts import render
from django.urls import reverse_lazy
from django.views.generic import DetailView, ListView, CreateView, UpdateView, DeleteView
from books.forms import BookModelForm, AuthorModelForm
from books.models import *
def index(request):
num_books = Book.objects.all().count()
books... | null | books/views.py | views.py | py | 4,273 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "books.forms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "books.forms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.views.generic.... |
366279656 | import cv2
import numpy
#face_cascade = cv2.CascadeClassifier('D:/programfile/opencv/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
#face_cascade = cv2.CascadeClassifier('D:/programfile/opencv/opencv/sources/data/haarcascades/haarcascade_fullbody.xml')
face_cascade = cv2.HOGDescriptor()
face_ca... | null | facial_recognition.py | facial_recognition.py | py | 1,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.HOGDescriptor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor_getDefaultPeopleDetector",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 9,
"usage_type": "call"
},
{
"api_na... |
567721106 | from django.http import Http404
from django.template.response import TemplateResponse
from django.views.decorators.csrf import csrf_protect
@csrf_protect
def main(request, job_id=None, template_name='job/main.html'):
if request.method == 'POST':
job_id = request.POST.get('job_id', None)
if job_id == None:
... | null | website/job/views.py | views.py | py | 449 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.Http404",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.template.response.TemplateResponse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.csrf.csrf_protect",
"line_number": 5,
"usage_type":... |
32003545 | """
Total ASEAN countries population for the years 2005 to 2014
"""
# importing the required libraries
import csv
from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
def total_asean_population():
"""
Total ASEAN countries population for the years 2005 to 2014
"""
wit... | null | total_asean_population.py | total_asean_population.py | py | 2,695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
... |
36531779 | import torch.nn as nn
import time
import sys
from utils import *
from evaluate import evaluate
from SASRecModules import *
class SASRec(nn.Module):
def __init__(self, hidden_size, item_num, state_size, dropout, device, num_heads=1):
super(SASRec, self).__init__()
self.state_size = state_size
... | null | RetailRocket/SASRec.py | SASRec.py | py | 5,995 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
450364311 | import argparse
import os
import sys
import cv2 as cv
import numpy as np
#################### Preparation ####################
# Parsing variables
parser = argparse.ArgumentParser()
parser.add_argument(
'filename',
help='Image filename used for conversion and saving.',
type=str
)
args = parser.parse_args... | null | computervision/03-unsharp_masking.py | 03-unsharp_masking.py | py | 1,517 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
355349378 | #!/usr/bin/python
# encoding: utf-8
import math
import numpy
import scipy
import scipy.signal
import matplotlib.pyplot as plt
'''
Non-coherent 1-bit differential phase detection
'''
class DiffPhaseDetect:
def __init__(self,
bps=9600, # Bits per second
overs... | null | detector.py | detector.py | py | 2,558 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.pi",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.angle",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
... |
223306743 | """
File dialog for opening/importing/referencing
"""
from PySide2 import QtCore
from PySide2 import QtGui
from PySide2 import QtWidgets
from shiboken2 import wrapInstance
import maya.OpenMaya as om
import maya.OpenMayaUI as omui
import maya.cmds as mc
def mayaMainWindow():
"""
Return the Maya main window as... | null | Maya/OpenImportDialog/openImportDialog.py | openImportDialog.py | py | 4,926 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "maya.OpenMayaUI.MQtUtil.mainWindow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "maya.OpenMayaUI.MQtUtil",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "maya.OpenMayaUI",
"line_number": 18,
"usage_type": "name"
},
{
"a... |
199652931 | # -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import sqlite3
import re
from urllib.parse import urljoin
import dateparser
import sys
import os
import traceback
__location__ = os.path.realpath(
os.path.join(
os.getcwd(),
os.path.dirname(__file__)
)
)
def find_parent(e... | null | automation/abstimmungsparolen/scraper.py | scraper.py | py | 5,819 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.realpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
197194528 | # -*- coding: utf-8 -*-
from EtudeDQN.dqn_agent import DQNAgent
from MAPE.multiagent.environment import MultiAgentEnv
import MAPE.multiagent.scenarios as scenarios
import torch
import numpy as np
def make_env(scenario_name='simple_tag'):
scenario = scenarios.load(scenario_name + '.py').Scenario()
world = sc... | null | EtudeDQN/test_mape.py | test_mape.py | py | 2,928 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "MAPE.multiagent.scenarios.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "MAPE.multiagent.scenarios",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "MAPE.multiagent.environment.MultiAgentEnv",
"line_number": 15,
"usage_type": "ca... |
23567975 | # This module contains a single overworld area, consisting of several Tiles.
# It manages the tiles, communicates with them and holds several booleans
# determining whether the user can use certain overworld actions.
from readdata import AREADATA
from typing import List
from Tile import Tile
class Area:
def __ini... | null | Area.py | Area.py | py | 2,877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "readdata.AREADATA",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "Tile.Tile",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "Tile.Tile",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "Tile.Tile",
"line_number": ... |
32629174 | # uncompyle6 version 3.7.4
# Python bytecode 3.8 (3413)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: D:\djangoarticle\src\djangoarticle\migrations\0005_auto_20200330_0747.py
# Compiled at: 2020-03-29 22:17:42
# Size of source mod 2**32: 1204 bytes
from django.db ... | null | pycfiles/djangoarticle-1.0.20.2-py3-none-any/0005_auto_20200330_0747.cpython-38.py | 0005_auto_20200330_0747.cpython-38.py | py | 1,303 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelOptions",
"line_number": 15,
"usage_type": "call"... |
30373088 | import json
import requests
from .exceptions import Bugger
def search(keyword, sort_by='stars', page=1):
cache_path = 'github.{0}.{1}.{2}'.format(keyword, sort_by, page)
try:
response = requests.get(
'https://api.github.com/legacy/repos/search/:{0}'
'?sort={1}&start_page={2}'.f... | null | talk/github.py | github.py | py | 944 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "exceptions.Bugger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "exceptions.Bugger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.loads",
"lin... |
479128596 | # There is an integer array nums sorted in ascending order (with distinct
# values).
#
# Prior to being passed to your function, nums is possibly rotated at an
# unknown pivot index k (1 <= k < nums.length) such that the resulting array is [nums[k]
# , nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]] (... | null | leetcode/editor/en/[33]Search in Rotated Sorted Array.py | [33]Search in Rotated Sorted Array.py | py | 2,129 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 44,
"usage_type": "name"
}
] |
467916081 | # -*- coding: utf-8 -*-
from flask import Flask, render_template
import requests
import json
app = Flask(__name__)
from utils import get_names
def calc_attend_grade(data):
rate = data['attend']/float(len(data['attendance']))
if 0.95 < rate:
return 'A+'
elif 0.90 < rate:
return 'A'
el... | null | app.py | app.py | py | 1,266 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "utils.get_names",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.load",
"lin... |
12361920 | from wemark.commons.response import Schema
from django.conf import settings
TIME_HOUR_UNIT = 24
TIME_MINUTE_UNIT = 60
TIME_SECOND_UNIT = 60
TIME_MILLIS_UNIT = 1000
CLIENT_ID = 'dd055109e309a4c8'
CLIENT_SECRET = '83eb90109062909b03ceb2efa13016f9'
CLIENT_CALLBACK_URI = '/oauth2/callback'
OAUTH2_SCHEMA = Schema.HTTP
OA... | null | spoonlake-master-0982e8056a154c66a547832533c9624fde1dd108/wemark/commons/constants.py | constants.py | py | 1,477 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wemark.commons.response.Schema.HTTP",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "wemark.commons.response.Schema",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.LOCAL_TEST",
"line_number": 26,
"usage_type"... |
161073050 | from graphene import ObjectType, String, Field, Schema, List, Int
from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from starlette.graphql import GraphQLApp
import json
import os
import urllib.request
from sqlalchemy import create_engine
f... | null | app/main.py | main.py | py | 30,983 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
141244597 | #配置文件
import datetime
import configparser
import os
import importlib
import pkgutil
import dfdata.source
from dfdata import default_config
#所有数据源包下包的名称
all_sources = []
for module_info in pkgutil.iter_modules(dfdata.source.__path__):
all_sources.append(module_info.name)
allowable_config_sections = all_sources... | null | dfdata/util/config.py | config.py | py | 18,109 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pkgutil.iter_modules",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dfdata.source.source",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "dfdata.source",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dfdata.d... |
431463295 | # -*- coding: utf-8 -*-
"""
Taken from https://github.com/fotonicaOrg/daq commit 387c7c3
"""
import numpy as np
import nidaqmx
import collections
from matplotlib import pyplot as plt
import nidaqmx.stream_readers
import nidaqmx.system
import time
#system = nidaqmx.system.System.local()
#
#for device in system.devices:
... | null | DeOtresCompas/daq.py | daq.py | py | 5,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nidaqmx.system.System.local",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nidaqmx.system",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "nidaqmx.constants",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name":... |
434117342 | import torch.nn as nn
import torch
class ListenerModel(nn.Module):
def __init__(self, embed_dim, hid_dim, img_dim, att_dim, dropout_prob):
super().__init__()
self.dropout = nn.Dropout(dropout_prob)
self.relu = nn.ReLU()
self.tanh = nn.Tanh()
self.softmax = nn.Softmax(dim=1)... | null | dialogue_manager/models/listener/model.py | model.py | py | 3,033 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
415912806 | import collections
import re
from itertools import takewhile
def build_tree(log):
is_tab = '\t'.__eq__
log = log.replace(" ","\t").replace("*","")
lines = iter(log.split("\n"))
tree = []
stack = []
for line in lines:
indent = len(list(takewhile(is_tab, line)))
stack[indent:] ... | null | servers/pso/src/plan.py | plan.py | py | 4,071 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.takewhile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_numb... |
620088664 | #! /usr/local/bin/python3
# _*_ encoding=utf-8 _*_
from PIL import Image
from PIL import ImageColor
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
from mpl_toolkits.mplot3d import Axes3D
def down(x, pos):
return '%d'%(x//10)
all_random_array = []
for i in range(0,31):... | null | plot_surface.py | plot_surface.py | py | 1,983 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint8",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.new... |
268045125 | import datetime
from typing import Dict, List
from elastalert.exceptions import EAConfigException
from elastalert.queries.elasticsearch_query import (
ElasticsearchQuery,
ElasticsearchSpikeCountQuery,
ElasticsearchSpikeTermQuery,
)
from elastalert.queries.query_factory import QueryFactory
from elastalert.r... | null | elastalert/ruletypes/spike_rule.py | spike_rule.py | py | 8,702 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "elastalert.ruletypes.RuleType",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "elastalert.utils.util.new_get_event_ts",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 27,
"usage_type": "call"
},
... |
490124270 | #!/usr/bin/python3
import spidev
# `ls` your /dev/ directory to get spi bus and device numbers
# e.g. `ls /dev/spi*` gets on my pi these two devices on bus 0:
#
#/dev/spidev0.0
#/dev/spidev0.1
SPI_BUS = 0
SPI_DEVICE = 0
spi = spidev.SpiDev()
spi.open(SPI_BUS, SPI_DEVICE)
spi.max_speed_hz = 1000000
# spi.mode, see ... | null | Embedded_Linux/raspberry_pi/peripherals/spidev/00_spi_send.py | 00_spi_send.py | py | 504 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "spidev.SpiDev",
"line_number": 14,
"usage_type": "call"
}
] |
194585841 | import telegram
from time import sleep
from time import gmtime, strftime
import urllib.request
import json
from lxml import html
import requests
BOT_TOKEN = '631816802:AAHA1zbx1p03b4m1cjT5cgy5lrJr-S5s6GE'
Bot = telegram.Bot(BOT_TOKEN)
def getText(Update):
return Update["message"]["text"]
def getMessageId(Upda... | null | Echobot.py | Echobot.py | py | 1,448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "telegram.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_... |
114286165 | import os
from PIL import Image
def gif_ratio(filename):
png_path = 'C:/Users/jelte/Desktop/researchtool/img_eval/images/'+filename+'.png'
gif_path = 'C:/Users/jelte/Desktop/researchtool/img_eval/images/results/'+filename+'.gif'
Image.open(png_path).save(gif_path)
statinfoPNG = os.stat(png_path)
... | null | DashboardTool/GIF.py | GIF.py | py | 423 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.stat",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.stat",
"line_number": 11,
"... |
463902650 | import System
import Professor
import json
import pytest
def test_drop_student(grading_system):
grading_system.login('goggins', 'augurrox')
grading_system.usr.drop_student('hdjsr7', 'software_engineering')
with open('Data/users.json') as f:
data = json.load(f)
assert "software_engineering" no... | null | assignments/05-testing/test_drop_student.py | test_drop_student.py | py | 481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "System.System",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "attribute"
}
] |
127132264 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('myblog', '0002_auto_20151204_0508'),
]
operations = [
migrations.AlterField(
model_name='profile',
n... | null | myblog/migrations/0003_auto_20151204_0825.py | 0003_auto_20151204_0825.py | py | 444 | 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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
557999678 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright David Lilien 2016
#
# Distributed under terms of the MIT license.
"""
Produce a tif showing where the bottom is at the melting point
"""
import os.path
import numpy as np
from modeltools.bin.grid_maker import proc_regs
from modeltools.lib.g... | null | modeltools/bin/melting_pt_bot.py | melting_pt_bot.py | py | 3,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "modeltools.bin.grid_maker.proc_regs",
"line_number": 39,
"usage_type": "call"
},
{
"api_name... |
562155117 | import random
from django.http import JsonResponse
from systems.DBase import DBase
from systems.Fetch import Fetch
from systems.Mongo import Mongo
from services.Funny import Funny
fetch = Fetch()
dbase = DBase(fetch.load('./server/config/mysql.json'))
mongo = Mongo(fetch.load('./server/config/mongo.json'))
funny =... | null | consumer/server/server/Recommend.py | Recommend.py | py | 774 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "systems.Fetch.Fetch",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "systems.DBase.DBase",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "systems.Mongo.Mongo",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "services.Fu... |
634683989 | import flask
from flask import jsonify, request
app = flask.Flask(__name__)
app.config["DEBUG"] = True
baseUrl = '/api/v1/'
bonjours = [
{'id': 1, 'description': 'Bonjour!', 'language': 'fr'},
{'id': 2, 'description': 'Hallo!', 'language': 'nl'},
{'id': 3, 'description': 'Hello!', 'language': 'en'}
]
@... | null | application.py | application.py | py | 995 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
102682983 | """Definition of the SampleFolder content type
"""
from zope.interface import implements, directlyProvides
from zope.component import adapter, getUtility, getMultiAdapter
from zope.app.container.interfaces import INameChooser
from zope.schema.interfaces import IVocabularyFactory
from zope.schema.vocabulary import Simp... | null | src/weka.content/weka/content/content/samplefolder.py | samplefolder.py | py | 3,456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Products.ATContentTypes.content.folder.ATFolderSchema.copy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Products.ATContentTypes.content.folder.ATFolderSchema",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "Products.ATContentTypes.con... |
408773859 | ###切记切记 扫描顺序是左上->右下
import os
from PIL import Image
G_BOX = (8,160,36,184) #x,y,x1,y2
G_BOX_SIZE = (G_BOX[2]-G_BOX[0],G_BOX[3]-G_BOX[1]) #(宽，高)
G_BOX_PIXEL_AMOUNT = (G_BOX_SIZE[0]+1)*(G_BOX_SIZE[1]+1) #区域的像素数量,+1是因为包含区域边界
G_BOX_Z = 0 ... | null | 色差计算/mh.py | mh.py | py | 3,493 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number"... |
507115442 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
from accounts.models import CustomUser
from .forms import EditCustomUserForm
# Check which user type and redirect to respective homes
@login_required(login_url='/login/')
def ho... | null | main/views.py | views.py | py | 7,410 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "accounts.models.CustomUser.objects.all",
"line_number": 34,
"usage_type": "call"
},
... |
519835645 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index),
path('register', views.register),
path('login', views.login),
path('success', views.success),
path('logout', views.logout),
path('process_message', views.process_message),
path('add_comment/<int:id>', ... | null | Gallery/urls.py | urls.py | py | 860 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
477703765 | import torch
import torch.nn as nn
import utils
filename = 'audios/mix.wav'
nb_seconds = 3
nb_epoch = 200
audio, sample_rate = utils.load(filename)
audio = audio[:, :sample_rate * nb_seconds]
nb_mixtures, T = audio.size()
nb_sources = nb_mixtures
B = nn.Linear(nb_mixtures, nb_sources, bias=False)
estim_function = ... | null | online.py | online.py | py | 908 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn.Linear",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "utils.H",
"line_number": 17,
... |
172237284 | import xlwt
import pymysql
from xlwt import XFStyle
from xlwt import Font
from django.shortcuts import render
from django.contrib import messages
from ..models.directory import *
from ..src.validator import Validator
from ..models.directory import *
from ..src.xls_generator import *
from django.shortcuts import redirec... | null | hound_app/hound/views/directory_view.py | directory_view.py | py | 10,883 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "src.validator.Validator.validate_view",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "src.validator.Validator",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 32,
"usage_type": "call"
},
... |
310878649 | from flask import Flask, render_template, request, jsonify,redirect
from model4 import *
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from collections import defaultdict
app = Flask(__name__)
engine = create_engine('sqlite:///new_file', echo=False)
Base = declarative_base()
@app.rout... | null | Homework10_4/homework10_4.py | homework10_4.py | py | 2,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.... |
645117991 | # -*- coding: utf-8 -*-
"""
requests_toolbelt.multipart
===========================
This holds all of the implementation details of the MultipartEncoder
"""
from requests.utils import super_len
from requests.packages.urllib3.filepost import (iter_field_objects,
encode... | null | requests_toolbelt/multipart.py | multipart.py | py | 6,906 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.uuid4",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.utils.super_len",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.filepost.encode_multipart_formdata",
"line_number": 97,
"usage_type": "call... |
268485973 | from __future__ import division
import operator
import math
from src.corpus import Corpus
import tokenizer
import util
import document
def count_words(w, word_map):
if w in word_map:
word_map[w] += 1
else:
word_map[w] = 1
class CorpusBuilder(object):
"""Initializes a Corpus from a list ... | null | lda/py/src/corpusbuilder.py | corpusbuilder.py | py | 3,332 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "operator.itemgetter",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "util.take",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "src.corpus.Corpus",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "document.Document",
... |
101761317 | from __future__ import print_function
import sys
sys.path.insert(
1, 'C:/Users/seand/OneDrive/Documents/University/Autonomous Drone Navigation/Implementation/AirSimAPI')
import time
import numpy as np
import cv2
from tensorflow import keras
import tensorflow as tf
from numpy.lib.function_base import average
import ... | null | src/nav_ai.py | nav_ai.py | py | 5,646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "airsim.YawMode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "airsim.DrivetrainType",
... |
90141766 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 25 10:15:18 2020
@author: Daniel
"""
from qgis.core import QgsLayerTreeGroup, QgsVectorLayer, QgsProject, QgsTask, QgsApplication, QgsRendererRange, QgsStyle, QgsGraduatedSymbolRenderer
import os, glob, traceback, fnmatch, time, qgis
from osgeo import ogr
from qgis.utils i... | null | preprocessing/bulk_add_shapefiles_and_screenshot.py | bulk_add_shapefiles_and_screenshot.py | py | 5,598 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qgis.core.QgsLayerTreeGroup",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "qgis.core.QgsLayerTreeGroup",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "qgis.core.QgsLayerTreeGroup",
"line_number": 21,
"usage_type": "argument"
}... |
421426449 | import os
import shutil
import logging
import subprocess
from tempfile import mkdtemp
log = logging.getLogger(__name__)
# other formats: http://opengrok.libreoffice.org/s?n=25&start=0&q=PreferredFilter&sort=relevancy&project=core,
def document_to_pdf(path):
""" OK, this is weird. Converting LibreOffice-supported... | null | extractors/soffice.py | soffice.py | py | 1,043 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
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