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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
556137290 | from datetime import datetime
from typing import List, Optional
from app.base.base_accessor import BaseAccessor
from app.quiz.models import Answer
from app.quiz.schemes import ThemeListSchema
from app.store.bot.models import User, UserModel, Game, GameModel, Score, ScoreModel
class BotAccessor(BaseAccessor):
as... | null | app/store/bot/accessor.py | accessor.py | py | 3,941 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.base.base_accessor.BaseAccessor",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "app.store.bot.models.UserModel.create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.store.bot.models.UserModel",
"line_number": 13,
"usage_type... |
216771284 | from rest_framework.permissions import DjangoModelPermissions
from rest_framework.generics import ListAPIView, CreateAPIView, RetrieveUpdateDestroyAPIView
from MHacks.v1.serializers.util import now_as_utc_epoch, parse_date_last_updated
class GenericListCreateModel(CreateAPIView, ListAPIView):
permission_classes ... | null | MHacks/v1/util.py | util.py | py | 1,822 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.DjangoModelPermissions",
"line_number": 8,... |
616263300 | import graphene
import jwt
import bcrypt
import json
import sys
from datetime import datetime, timedelta
from random import randint
from graphene import relay
from sqlalchemy.sql import exists
from .connections import StudentFull as StudentFullField
from .models import Student, Manager
from .db import db_session
from .... | null | app/mutations.py | mutations.py | py | 4,266 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "graphene.relay.ClientIDMutation",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "graphene.relay",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "graphene.String",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "g... |
487997398 | """ Active learning experiment. """
# Author: Alasdair Tran
# License: BSD 3 clause
import os
import numpy as np
from time import time
from joblib import Parallel, delayed
from numpy.random import RandomState
from sklearn.cross_validation import StratifiedShuffleSplit
from sklearn.linear_model import LogisticRegressi... | null | mclearn/experiment.py | experiment.py | py | 9,477 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
93579406 | import re
import sys
import datetime
fblack = "30"
fred = "31"
fgreen = "32"
fyellow = "33"
fblue = "34"
fpurple = "35"
fcyan = "36"
fwhite = "97"
fdefault = "39"
bblack = "40"
bred = "41"
bgreen = "42"
byellow = "43"
bblue = "44"
bpurple = "45"
bcyan = "46"
bwhite = "47"
bdefault = "49"
need_high_light_tags = ['Act... | null | logcat.py | logcat.py | py | 5,297 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.match",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 102,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.write",
"l... |
520116732 | #!/usr/bin/env python
# coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from django import forms
from app.models import Floor
from app.models import Placement
class CreateFloorForm(forms.ModelForm):
image = forms.ImageField(label='image'... | null | app/forms.py | forms.py | py | 1,243 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.forms.ImageField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "djan... |
236956106 | from django.urls import path, include
from . import views
import main.views
classroom_urls = [
# path('kids',
# views.ChildrenListView.as_view(), name='list-children'),
path('children/add',
views.ChildAddView.as_view(), name='add-child'),
# path('teachers',
# views.TeachersList... | null | people/urls.py | urls.py | py | 2,725 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
368543263 | from datetime import datetime, timedelta
import pytz
from sqlalchemy import and_, case, func, literal, or_, select, union
from sqlalchemy.orm import joinedload, noload, raiseload
from sqlalchemy.dialects.postgresql import aggregate_order_by
from app import db
from app.api.helpers import Service
from app.models import... | null | app/api/services/suppliers.py | suppliers.py | py | 21,233 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.api.helpers.Service",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "app.models.Supplier",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "app.db.session.query",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.... |
415406507 | # Justin Ventura
# 01/11/20
# linearreg.py
# Gull Code 2019
# Empty datasets (x = Iv, y = Dv)
import matplotlib.pyplot as plt
x = []
y = []
def mean(data):
return (float(sum(data)) / float(len(data)))
def variance(data, mean):
return sum([(k - mean) ** 2 for k in data])
def covariance(x_data, x_mean, y_data, y_me... | null | linearregression/linearreg.py | linearreg.py | py | 1,178 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "ma... |
472547062 | from flask import Flask, render_template, redirect, request
import csv
import collections
import psycopg2 as pg
import psycopg2.extras
app = Flask(__name__)
session = { 'sid': None, 'sname': None }
db_connector = {
'host': 'localhost',
'user': 'postgres',
'dbname': 'dbapp',
'port': '5432',
'passw... | null | DB/contacts_db/app.py | app.py | py | 11,975 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
... |
594861120 | #!/usr/bin/python
# Copyright 2020 Hewlett Packard Enterprise Development LP
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this
# file except in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | null | ansible_collection/hpe/nimble/plugins/modules/hpe_nimble_performance_policy.py | hpe_nimble_performance_policy.py | py | 12,329 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nimbleclient.v1.client",
"line_number": 143,
"usage_type": "name"
},
{
"api_name": "ansible_collections.hpe.nimble.plugins.module_utils.hpe_nimble.is_null_or_empty",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "ansible_collections.hpe.nimble.plugins.m... |
545103348 | import string
import new
import MySQLdb
from types import *
from MySQLdb.cursors import DictCursor
bag_belongs_to, bag_has_many = [], []
def belongs_to(what):
bag_belongs_to.append(what)
def has_many(what):
bag_has_many.append(what)
class MysqlWrapper:
def __init__(self, **kwargs):
self.conn... | null | python/orm.py | orm.py | py | 6,738 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "MySQLdb.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "MySQLdb.cursors.DictCursor",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "new.instancemethod",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "string.... |
124038523 | # bdemeta
import glob
import json
import os.path
import pathlib
import shutil
import signal
import subprocess
import sys
from typing import Callable, List, TextIO
import bdemeta.cmake
import bdemeta.graph
import bdemeta.resolver
import bdemeta.testing
from bdemeta.cmake import Writer
from bdemeta.testing import Run... | null | bdemeta/__main__.py | __main__.py | py | 4,560 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "subprocess.run",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.TextIO",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_... |
330882414 | import numpy as np
from cv2 import cv2
from cv2 import aruco
import matplotlib.pyplot as plt
import math
def rotationMatrixToEulerAngles(R):
sy = np.sqrt(R[0, 0] * R[0, 0] + R[1, 0] * R[1, 0])
singular = sy < 1e-6
if not singular:
x = math.atan2(R[2, 1], R[2, 2])
y = math.atan2(-R[2, 0], s... | null | scripts/detect_marker_rt.py | detect_marker_rt.py | py | 3,653 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sqrt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 14,
... |
165216186 | from requests import request, Response
from datetime import datetime
from collections import namedtuple
GridCell = namedtuple('GridCell', ['x', 'y'])
class RobotCommands:
def __init__(self, ip: str = "127.0.0.1"):
self.ip = ip
def _genericRequest(self, verb: str, endpoint: str, **kwargs):
ur... | null | mistyPy/RobotCommands.py | RobotCommands.py | py | 62,754 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.Response",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "requests.Res... |
531878267 | import torch
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
from torchvision.models import resnet
import torch.nn.functional as F
import pdb
class CelebNet(nn.Module):
def __init__(self, num_classes, num_features=0, dropout=0.6, set_pooling='max'):
super(CelebNet, self).__init__()
... | null | SSIN/model/motionnet.py | motionnet.py | py | 16,435 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet.resnet50",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torchv... |
621299888 |
import connexion
from service import cabys as service
from service import utils
# Searches for medicaments matching the received text
def search_meds():
body = connexion.request.json
stuff = service.search(body, service.Search.MEDS) # I'M BAD A NAMING THINGS
response = utils.prepareResponse('medicamentos'... | null | routes/cabys.py | cabys.py | py | 891 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "connexion.request",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "service.cabys.search",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "service.cabys",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "service.cabys.... |
236149906 | from flask import Flask, render_template
import sqlite3
app = Flask(__name__)
@app.route("/")
def hello():
conn = sqlite3.connect('DB_10.db')
conn.row_factory=sqlite3.Row
c = conn.cursor()
c.execute("select * from PLANT")
rows = c.fetchall()
return render_template("test_... | null | workspace/서버담당/test_s15.py | test_s15.py | py | 434 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.render_template",
... |
124765226 | import json
import csv
class filter:
def __init__(self, number, RGB, name, description):
self.number = number
self.rgb = RGB
self.name = name
self.description = description
def diff(self, r2, g2, b2):
r1 = self.rgb[0]
g1 = self.rgb[1]
b1 = self.rgb[2]
... | null | main.py | main.py | py | 3,658 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number"... |
401198827 | ''' 所有表名等同于该py文件的文件名 '''
theModule_table_name = __file__.split('/')[-1].split('\\')[-1].split('.')[0]
from database.base_table import BaseTable, Flag_TestIsNeed
from database.all_info.all_tables_info import all_tables_info
from database.all_info.DB_simulator_infos import DB_simulator_infos
import warnings
class Activ... | null | database/activity_student.py | activity_student.py | py | 8,641 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "database.base_table.BaseTable",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "database.all_info.all_tables_info.all_tables_info",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "database.all_info.DB_simulator_infos.DB_simulator_infos",
"lin... |
138924613 | from django import forms
#from App.models import Lugar, Area, Citacion, Asistente, Tema, Acta, Tarea
#from django.forms import ModelForm
from App.models import Lugar, Reuniones
from django.forms import ModelForm
#Form Citaciones
class RegisReuniones(forms.ModelForm):
#def __init__(self, *args, **kwargs):
# super(Re... | null | P_Final/MiActasReuPanaWeb/App/forms.py | forms.py | py | 707 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "App.models.Reuniones",
"line_number": 15,
"usage_type": "name"
}
] |
184787794 | from urllib.parse import urlparse
from urllib.parse import urlunparse
from dns.exception import DNSException
from dns.resolver import Resolver
from requests import ConnectionError
from requests import Session as _Session
from requests.adapters import HTTPAdapter
class SRVResolverHTTPAdapter(HTTPAdapter):
def __i... | null | requests_srv.py | requests_srv.py | py | 2,969 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.adapters.HTTPAdapter",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dns.resolver.Resolver",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
419737571 | import pymongo
myclient = pymongo.MongoClient("mongodb://localhost:27017")
mydb = myclient["mydatabase"]
mycol = mydb["customers"]
mydict = { "nome" : "davi", "email": "davi@teste.com", "telefone" : "16 8888 7777"}
x = mycol.insert_one(mydict)
print(x.inserted_id)
| null | Linguagens de programação/pymongo/ex_insert_mongo.py | ex_insert_mongo.py | py | 270 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 3,
"usage_type": "call"
}
] |
458231449 | import numpy as np
import pandas as pd
from pandas import DataFrame, Series
import random
import time
import math
import datetime as dt
import random
import copy
from datetime import datetime
from time import mktime
import os
import json
from functools import cmp_to_key
from itertools import groupby
impo... | null | BusRoute400/loaddata2.py | loaddata2.py | py | 17,360 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 76... |
483684014 | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 16 16:17:22 2020
@author: yunxuan
"""
import tensorflow as tf
import numpy as np
from tensorflow import keras
from tensorflow.python.keras.layers.core import Dense
from tensorflow.python.keras.models import Sequential
from tensorflow.contrib import lite
from t... | null | trainingtoLite.py | trainingtoLite.py | py | 2,472 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.kera... |
612042620 | import sys
import wordnet
import argparse
import os
import pickle
def update_def(wn, synset, defn, add):
print("Previous definitions:")
for d in synset.definitions:
print("> " + d.text)
wn_synset = wordnet.parse_wordnet("src/wn-%s.xml" % synset.lex_name)
ss = wn_synset.synset_by_id(synset.id)
... | null | scripts/change-definition.py | change-definition.py | py | 1,745 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wordnet.parse_wordnet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wordnet.Definition",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "wordnet.Definition",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.... |
222666656 | # Amanda Foun
from __future__ import print_function
from flask import Flask, request
import os
import random
import math
import sys
from pymongo import MongoClient, TEXT
import time
import re
import json
from bson.son import SON
from bson.json_util import dumps
#from util import #log
MONGO_URL = 'mongodb://allRecipes... | null | recipeQueries.py | recipeQueries.py | py | 2,872 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 19,
"usage_type": "call"
}
] |
32830546 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from settings import Global
## CHECK FOR GPU'S ##
CUDA = torch.cuda.is_available()
if CUDA:
device = torch.device("cuda:0")
else:
device = torch.device("cpu")
class Module(nn.Module, Global):
def __init__(self, param):
... | null | references/Thesis_Data_Code/loss.py | loss.py | py | 1,034 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.device",
... |
546825625 | import pandas as pd
import numpy as np
from mendeleev import element
from fuerzas import *
def ranf():
return np.random.uniform()
def conf_inicial_2d(**kwargs):
N = kwargs.get('N', 20)
dens = kwargs.get('dens', 1)
iter_check = kwargs.get('iter_check', 10)
tol = kwargs.get('tol', 0.7)
seed... | null | code/conf_inicial_2d.py | conf_inicial_2d.py | py | 2,682 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.uniform",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
260892494 | from collections import Counter
def compute_fitting_quotient(text: bytes) -> float:
"""
Given the stream of bytes `text` the function computes the fitting
quotient of the letter frequency distribution for `text` with the
letter frequency distribution of the English language.
The function returns... | null | crack_repeating_key_xor.py | crack_repeating_key_xor.py | py | 5,975 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Counter",
"line_number": 29,
"usage_type": "call"
}
] |
259031461 | #!/usr/bin/python3
import json
import tinydb
import random
inFile = input('Enter JSON DB: ')
with open(inFile, 'r') as file:
db = json.loads(file.read())
index = random.randrange(0, len(db))
print('Experiment Acronym : ' + db[index]['Acronym'])
guess = False
while(guess == False):
ExpName = input('Experim... | null | guess.py | guess.py | py | 917 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 12,
"usage_type": "call"
}
] |
446407573 | #! /usr/bin/env python3
import os, sys
import re
import argparse
import fileinput
######################################################################
# Parsing optional command line arguments
######################################################################
parser = argparse.ArgumentParser(description="""
R... | null | bin/remove-chunk.py | remove-chunk.py | py | 4,518 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 83,
"usage_type": "call"
}
] |
591030667 | from unittest import TestCase # no need to use overbloated django testcase here
from django.core.exceptions import ValidationError
from challenges.validators import MaxFloatDigitValidator, PossibleFloatDigitValidator
class MaxFloatDigitTests(TestCase):
def test_valid_integers(self):
validator = MaxFloa... | null | deadline_/challenges/tests/test_validators.py | test_validators.py | py | 2,264 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "challenges.validators.MaxFloatDigitValidator",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "challenges.validators.MaxFloatDigitValidator",
"line_number": 17,
"usage_ty... |
442170300 | import unittest
from pyapprox.variable_transformations import *
from pyapprox.variables import IndependentMultivariateRandomVariable
from scipy.linalg import lu_factor, lu as scipy_lu
from pyapprox.tests.test_rosenblatt_transformation import rosenblatt_example_2d
from scipy.stats import beta as beta_rv
from scipy.stats... | null | pyapprox/tests/test_variable_transformations.py | test_variable_transformations.py | py | 12,131 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats.uniform",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scipy.stats.beta",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scipy.sta... |
432303579 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('herders', '0006_auto_20150421_0010'),
]
operations = [
migrations.AddField(
model_name='monster',
na... | null | herders/migrations/0007_monster_archetype.py | 0007_monster_archetype.py | py | 553 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
391241355 | import numpy as np
from sklearn.svm import SVR
from sklearn import cross_validation
from numpy import unravel_index
def get_lineage(tree,leaf_index,node_depth):
left = tree.tree_.children_left
right = tree.tree_.children_right
threshold = tree.tree_.threshold
lineage = []
for child in leaf_index:
... | null | help_functions.py | help_functions.py | py | 2,184 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.where",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
474793192 | from .models import PackingList, FarmersAll
import os
import math
import json
RICE_MOISTURE = json.load(open(os.path.join(os.path.dirname(__file__),'rice_moisture.json')))
RICE_PRICE = json.load(open(os.path.join(os.path.dirname(__file__),'rice_price.json')))
RICE_AMOUNTS = json.load(open(os.path.join(os.path.dirnam... | null | rice10701/rice_util.py | rice_util.py | py | 8,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number":... |
572771222 | from flask import (
Blueprint, flash, g, redirect, render_template, request, url_for
)
from werkzeug.exceptions import abort
from flaskr.auth import login_required
from flaskr.db import get_db
# note: no url_prefix param
bp = Blueprint('blog', __name__)
@bp.route('/')
def index():
db = get_db()
posts = d... | null | flaskr/blog.py | blog.py | py | 3,730 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flaskr.db.get_db",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
600005543 | """
scraping.base
~~~~~~~~~~~~~
This module provides:
* Scraper class, which instances are used to manage the scraping
procediment.
* Interfaces to customize the behaviors to be used within Scraper instances.
* ScrapingException, to be raised in case of an *expected* failure during
... | null | src/scraping/base.py | base.py | py | 3,648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "lxml.html.HTMLParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "lxml.html.document_fromst... |
242486682 | #!/usr/bin/env python
# encoding: utf-8
"""
__init__.py
Created by Kurtiss Hare on 2010-08-15.
Copyright (c) 2010 Medium Entertainment, Inc. All rights reserved.
"""
from fabric.api import abort, cd, env, sudo, put, run
import collections, os, time
def _(s, **kwargs):
if kwargs:
params = dict((k,v) for ... | null | src/fablib/__init__.py | __init__.py | py | 8,288 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fabric.api.env.items",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fabric.api.env",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "fabric.api.env",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "fabric.api.env.git... |
228017263 | #! /usr/bin/env python
import matplotlib
matplotlib.use('GTKAgg')
import matplotlib.pyplot as plt
import numpy as np
import time
plotters = {'background':0, 'qui':0, 'surf':0}
def getSize(varsPath):
size = 0
with open(varsPath) as inFile:
for lines in inFile:
lines = lines.rsplit()
... | null | src/plot.py | plot.py | py | 1,944 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number"... |
354651490 | import bpy
import time
import sys
import os
import re
from threading import Thread
object_mode = 'OBJECT'
edit = 'EDIT'
sculpt = 'SCULPT'
vertex_paint = 'VERTEX_PAINT'
weight_paint = 'WEIGHT_PAINT'
texture_paint = 'TEXTURE_PAINT'
particle_edit = 'PARTICLE_EDIT'
pose = 'POSE'
a_props = []
class Menu():
def __init... | null | addons/advanced_ui_menus/core.py | core.py | py | 7,667 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bpy.context.scene.statistics",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "bpy.context",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "bpy.context.scene.statistics",
"line_number": 71,
"usage_type": "call"
},
{
"api_na... |
86246687 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib.auth import login,authenticate,logout
#from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from django.http imp... | null | src/nyumba/views.py | views.py | py | 35,519 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "user_account.models.myUser.objects.get",
"line_number": 27,
"usage_... |
5928905 | import pytest
import numpy as np
from numpy.testing import assert_equal
from xarray.testing import assert_equal as xr_assert_equal
from xarray.testing import assert_identical as xr_assert_identical
from nd import utils
from nd.testing import equal_list_of_dicts, generate_test_dataset
import time
from datetime import da... | null | nd/utils/tests/test_utils.py | test_utils.py | py | 5,002 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dateutil.tz.tzutc",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.testing.assert_equal",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nd.uti... |
653985952 | import jsonschema
from craton import api
from craton.api.v1.schemas import filters, validators
from craton.tests import TestCase
VALIDATORS = {
"with_schema": [
('ansible_inventory', 'GET'),
('cells', 'GET'),
('cells', 'POST'),
('cells_id', 'GET'),
('cells_id', 'PUT'),
... | null | craton/tests/unit/test_api_schema.py | test_api_schema.py | py | 6,959 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "craton.tests.TestCase",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "craton.api.v1.schemas.validators.keys",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "craton.api.v1.schemas.validators",
"line_number": 77,
"usage_type": "name"
... |
634546219 | from rest_framework import serializers
from company import models
class CompanySerializer(serializers.ModelSerializer):
"""
Serializer for Shop model from shop application.
"""
class Meta:
model = models.Company
class BillSerializer(serializers.HyperlinkedModelSerializer):
"""
User... | null | api/v1/company/serializers.py | serializers.py | py | 739 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "company.models.Company",
"line_number": 12,
"usage_type": "attri... |
211555574 | import tweepy
import twitter_api_client
import config
from datetime import timezone
from kafka import KafkaProducer
# twitter API config
consumer_key = config.consumer_key
consumer_secret = config.consumer_secret
access_token = config.access_token
access_secret = config.access_secret
class CompanyStreamListener(twee... | null | sentiment_analysis/backend/twitter_functions/twitter_stream.py | twitter_stream.py | py | 1,657 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.consumer_key",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "config.consumer_secret",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.access_token",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_n... |
60734242 | import requests
import uuid
from datetime import datetime as dt
from typing import List
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from passlib.context import CryptContext
from models import DogsList, DogDelete
from db import database, dogs
pwd_context = CryptContext(schemes=["bcry... | null | main.py | main.py | py | 2,323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "passlib.context.CryptContext",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "db.database.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "db.d... |
13593566 | import spidev
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
sr_latch_pin = 13
GPIO.setup(13, GPIO.OUT)
GPIO.output(sr_latch_pin, 1)
#time.sleep(0.001)
#GPIO.output(13, 0)
#time.sleep(0.001)
#GPIO.output(13, 1)
spi = spidev.SpiDev()
spi.open(1, 0)
spi.max_speed_hz = 500000 # 100 kHz
#spi.no_cs = False
#... | null | block_checkoff_code/senior_design_spi_test.py | senior_design_spi_test.py | py | 1,181 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"line_n... |
592902643 | from NetworkBehaviour.Input.Pattern_Basics import *
import random
import numpy as np
from collections import Counter
import pypianoroll as piano
import os
import re
from sklearn.feature_extraction.text import CountVectorizer
from scipy.stats import entropy
#{' PERIOD': '.', ' COMMA': '.', ' QUESTION': '.'} #, 'MNAME'... | null | NetworkBehaviour/Input/SORN/MusicActivator.py | MusicActivator.py | py | 21,488 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pypianoroll.parse",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.any",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.any",
"line_number"... |
600066085 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
rc={'lines.linewidth': 2, 'axes.labelsize': 18, 'axes.titlesize': 18}
sns.set(rc=rc)
# Specify parameters
n_gen = 16
r = 1e-5
# Total number of cells
n_cells = 2**(n_gen - 1)
ai_samples = np.random.binomial(n_cells, r, size=100000)
# Plot his... | null | luria_delbruck.py | luria_delbruck.py | py | 889 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random.binomial",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.... |
340527140 | #!/bin/python3
from PIL import Image
from concurrent.futures import ThreadPoolExecutor
import glob
import sys
import os
default_frame_size = (640, 640)
def squarify_image(output_dir, square_side, img_name):
new_frame = Image.new('RGB', default_frame_size, 'white')
new_frame.paste(Image.open(img_name), (0, 0))
new... | null | squarify-images.py | squarify-images.py | py | 1,474 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.new",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
382448006 | from math import ceil
import collections
import sys
FILE_NAME = "./D-large-practice"
# initialize
sys.setrecursionlimit(15000)
MAXN = 10001
M = ceil(MAXN**0.5)
cakes = [i * i for i in range(1, M)]
dp = collections.defaultdict(lambda: 9999)
dp[0] = 0
def dfs(x):
if x not in dp:
for cake in cakes:
... | null | Google Code Jam/2017 Kickstart Round F/D. Eat Cake.py | D. Eat Cake.py | py | 947 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
}
] |
319405137 | import pydicom
class EquipmentAnonymizer:
def __init__(self, address_anonymizer):
"""\
Create a new EquipmentAnonymizer.
Parameters
----------
address_anonymizer : dicognito.addressanonymizer.AddressAnonymizer
Provides anonymized address components.
... | null | src/dicognito/equipmentanonymizer.py | equipmentanonymizer.py | py | 2,505 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pydicom.datadict.tag_for_keyword",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pydicom.datadict",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pydicom.datadict.tag_for_keyword",
"line_number": 18,
"usage_type": "call"
},
... |
261780097 | from django.conf.urls import url
from django.contrib import admin
from atividade import views
urlpatterns = [
url(r'^show/(?P<atividade_id>\d+)$', views.show, name='atividade_show'),
url(r'^new/$', views.new, name='atividade_new'),
url(r'^create/$', views.create, name='atividade_create'),
url(r'^edit/$... | null | ref-mac0350/mac0350fase3/atividade/urls.py | urls.py | py | 484 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "atividade.views.show",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "atividade.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.co... |
526741299 | import time
from logging import getLogger
from crawler.core.scheduler.crawl_task_scheduler import CrawlTaskScheduler
from crawler.core.stock_cmdb.StockCmdb import StockCMDB
from crawler.core.task_generator.task_generator import TaskGenerator
import traceback
logger = getLogger()
class CrawlerManager(StockCMDB):
... | null | src/crawler/core/CrawlerManager.py | CrawlerManager.py | py | 1,594 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "crawler.core.stock_cmdb.StockCmdb.StockCMDB",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "crawler.core.stock_cmdb.StockCmdb.StockCMDB",
"line_number": 15,
"usage_type... |
550195924 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 22 23:19:38 2021
@author: Anindita
"""
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 22 20:04:22 2021
@author: Anindita
"""
import Pyro4
import sys
HOST='localhost'
PORT=9090
if len(sys.argv) == 2 or len(sys.argv) > 3:
print('''
If you want to... | null | Advance Communication and TCP_IP/1/client7.py | client7.py | py | 2,496 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
464521528 | import os
import unittest
from datetime import datetime
from quickbooks.client import QuickBooks
from quickbooks.objects.term import Term
class TermTest(unittest.TestCase):
def setUp(self):
self.qb_client = QuickBooks(
sandbox=True,
consumer_key=os.environ.get('CONSUMER_KEY'),
... | null | tests/integration/test_term.py | test_term.py | py | 1,313 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "quickbooks.client.QuickBooks",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.... |
202154460 | from __future__ import print_function, division, absolute_import
import atexit
import logging
import os
from sys import exit
import click
from distributed import Nanny, Worker
from distributed.config import config
from distributed.utils import get_ip_interface, parse_timedelta
from distributed.worker import _ncores
f... | null | dask_cuda/dask_cuda_worker.py | dask_cuda_worker.py | py | 7,730 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "click.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "distributed.proctitle.enable_proctitle_on_current",
"line_number": 165,
"usage_type": "call"
},
{
"a... |
624450062 | """
These views pertain to BlogpostContent.
"""
from django.contrib.postgres.search import SearchVector
from django.db.models import Q
from django.utils import timezone
from nltk.stem import PorterStemmer
from rest_framework import filters, generics, viewsets, status
from rest_framework.response import Response
from .m... | null | backend/api/blogpost_content/views.py | views.py | py | 5,051 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.BlogpostContent.objects.all",
"line_number": 18,
"usage_type": "c... |
87665116 | import boto3
import re
import sys
import argparse
from xl_helper import ExcelSheet
def camel_to_space(name):
name = re.sub('(.)([A-Z][a-z]+)', r'\1 \2', name)
return re.sub('([a-z0-9])([A-Z])', r'\1 \2', name)
def get_savings_plans_recommendations(profile, term="ONE_YEAR", payment_options="NO_UPFRONT", acc... | null | cost_saving_recommendations_to_excel.py | cost_saving_recommendations_to_excel.py | py | 10,334 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.session.Session",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "boto3.session",
"line_number"... |
112659847 | def matchedFilter(data, template=None, makePlots=False):
"""
Created on Thu Feb 15 15:20:01 2018
@author: Michael Stephens
Program performs matched filtering using the methods described in
Allen et al., 2012.
Parameters
----------
data: float64 numpy array
... | null | functions/matchedFilter.py | matchedFilter.py | py | 4,350 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.pad",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.fft.rfftfreq",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"line_numb... |
367233226 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.contrib import messages
import bcrypt
from .models import *
from .forms import *
from .utils import *
def index(request):
return render(request, "index.html")
def guest(request):
return render(request, "guest.html"... | null | church_app/views.py | views.py | py | 18,145 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name"... |
299505728 | # -*- coding: utf-8 -*-
"""Constants for the builds app."""
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
BUILD_STATE_TRIGGERED = 'triggered'
BUILD_STATE_CLONING = 'cloning'
BUILD_STATE_INSTALLING = 'installing'
BUILD_STATE_BUILDING = 'building'
BUILD_STATE_FINISHED = 'fin... | null | readthedocs/builds/constants.py | constants.py | py | 1,453 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 18,
... |
579463466 | #!/usr/bin/python2.4
# Copyright 2010 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | null | core/query_processor.py | query_processor.py | py | 12,368 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.info",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pickle.loads",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "google.appengine.api.datastore... |
171114620 | import torch
import torch.nn as nn
import torch.functional as F
from torch.autograd import Variable
from util.cuda import to_var,align
import numpy as np
from src.dec_image import DecoderConv
from src.BigGAN_networks import Generator as G_net
class Decoder(nn.Module):
def __init__(self, vis_dim=512, vis_num=36, ... | null | src/decoder.py | decoder.py | py | 17,019 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.Embedding",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
466952882 | #%run c:\plr\catalys\analytics_5.py
import pandas as pd
import numpy as np
import sys
from openpyxl import load_workbook
from bokeh.plotting import figure, show, output_file
from bokeh.palettes import brewer
from bokeh.models import HoverTool, FixedTicker
from bokeh.plotting import ColumnDataSource, figure, show, ou... | null | analytics_5.py | analytics_5.py | py | 6,974 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.ExcelFile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_work... |
647501725 | ''' NavigationMDP.py: Contains the NavigationMDP class. '''
# Python imports.
from __future__ import print_function
import numpy as np
from simple_rl.tasks import GridWorldMDP
from simple_rl.tasks.grid_world.GridWorldStateClass import GridWorldState
class NavigationMDP(GridWorldMDP):
'''
Class for Na... | null | simple_rl/tasks/navigation/NavigationMDP.py | NavigationMDP.py | py | 7,620 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "simple_rl.tasks.GridWorldMDP",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.random.choice",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "num... |
520066666 | import scipy, scipy.spatial
import numpy as np
np.random.seed(4)
points = np.random.random((2, 100))
plot(points[0], points[1], 'ok')
tree = scipy.spatial.KDTree(points.T)
indices = tree.query_ball_point((0.5, 0.5), 0.1)
plot([0.5], [0.5], 'or', ms=10)
plot(points[0,indices], points[1, indices], 'oc')
results = tree.q... | null | translation_of_course_in_french/source/arbre.py | arbre.py | py | 408 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.random",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
60735867 | import torch
from torchvision import transforms
import torchvision
from torch.utils.data import DataLoader
from dataloader import BlurImageDataset
IMAGE_PARENT = '/home/ubuntu/Workspace/blur_recog/blur_cam_test'
IMAGE_W_LABEL_TXT = '../data_generator/class_id_to_files_70001_test.txt'
MODEL_NAME = 'blur_cls_resnet18_128... | null | backup/test_model.bc.py | test_model.bc.py | py | 2,078 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 14,
"usage_type": "call"
},
{
... |
437091218 | #!/usr/bin/env python
# coding: utf-8
import json
import numpy as np
class Arrow(object):
DELIMITER = "_"
def __init__(self, waypoint=None):
self.waypoint = waypoint
self.__arrows = None
self.__to_arrows = None
self.__from_arrows = None
def load(self, path):
with ... | null | ams/utilities/arrow.py | arrow.py | py | 7,244 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "numpy.subtract",
"l... |
214854365 | # import necessary packages
import numpy as np
import matplotlib.pyplot as plt
import calcModule as calMod # Important custom functions
import constraintModule as conMod
from calcModule import ATransformMatrix as ATrans, link2index, prettyMatVect2
# 1. === INPUT PARAMETERS (GLOBAL VARIABLES) ======
# ===============... | null | doublePendulumUTAMA.py | doublePendulumUTAMA.py | py | 8,203 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
419987317 | import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use("Agg")
import warnings
warnings.filterwarnings('ignore')
#############################################################################
from sklearn import preprocessing
import datetime
############################... | null | finrl/autotrain/training.py | training.py | py | 6,522 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.path",
"... |
489600042 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 30 10:38:23 2018
@author: 9888120
"""
import sys
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.pdfpage import PDFPage
from pdfminer.converter import XMLConverter, HTMLConverter, TextConverter
from pdfminer.layout import LA... | null | pdfTotext.py | pdfTotext.py | py | 948 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pdfminer.pdfinterp.PDFResourceManager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pdfminer.layout.LAParams",
"line_number": 20,
"usage_type": "call"
},
{
"api_na... |
400321169 | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | null | upvote/gae/modules/upvote_app/lib/voting_test.py | voting_test.py | py | 45,218 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "upvote.gae.datastore.test_utils.CreateSantaEvent",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "upvote.gae.datastore.test_utils",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "upvote.gae.datastore.utils.ConcatenateKeys",
"line_number": ... |
172553495 | """
University of Minnesota
Aerospace Engineering and Mechanics - UAV Lab
Copyright 2019 Regents of the University of Minnesota
See: LICENSE.md for complete license details
Author: Chris Regan
Analysis for Huginn (mAEWing2) FLT 03
"""
#%%
# Import Libraries
import numpy as np
import matplotlib.pyplot as plt
# Hack ... | null | Examples/HuginnAeroPID_Disturb.py | HuginnAeroPID_Disturb.py | py | 13,646 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_num... |
530937780 | from setuptools import setup, find_packages
install_requires=['requests', 'docopt']
try:
import json
except ImportError:
install_requires.append('simplejson')
setup(
name='gist_it',
version='1.0.5',
license='MIT',
description='Gist_it can send gist',
author='se s',
url='https://github... | null | pypi_install_script/gist_it-1.0.5.tar/setup.py | setup.py | py | 820 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
142751419 | from setuptools import find_packages, setup
import os
name = os.path.split(os.getcwd())[1]
setup(
name=name,
packages=find_packages(),
package_dir={'': 'src'},
version='0.1.0',
description='description',
author='Andrew',
license='MIT',
) | null | setup.py | setup.py | py | 265 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.split",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number... |
472444824 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('stream', '0003_remove_post_thumbnail'),
]
operations = [
migrations.CreateModel(
name='PostComment',
... | null | stream/migrations/0004_auto_20151129_0014.py | 0004_auto_20151129_0014.py | py | 848 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
342284335 | import requests
from bs4 import BeautifulSoup
URL = f'http://www.saramin.co.kr/zf_user/search/recruit?search_area=main&search_done=y&search_optional_item=n&searchType=default_mysearch&searchword=Python'
URL_op = f'&recruitSort=relation&recruitPageCount=40&inner_com_type=&company_cd=0,1,2,3,4,5,6,7,9&quick_apply='
de... | null | Java Study/saramin.py | saramin.py | py | 1,824 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"l... |
546055585 | import pytest
import snappi
def test_slots(api):
"""Test that dynamically created attributes are disallowed.
This is done by ensuring that the special variable __dict__ is not
present in any classes.
The proper use of the special variable __slots__ ensures that the __dict__
special variable will ... | null | snappi/tests/test_slots.py | test_slots.py | py | 706 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "snappi.snappicommon.SnappiBase",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "snappi.snappicommon",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "snappi.snappicommon.SnappiObject",
"line_number": 15,
"usage_type": "call"
},
... |
251446360 | import path
import svg_parser
from LaserCommandConstants import *
from RasterPlotter import RasterPlotter, X_AXIS, TOP, BOTTOM
VARIABLE_NAME_NAME = 'name'
VARIABLE_NAME_COLOR = 'color'
VARIABLE_NAME_FILL_COLOR = 'fill'
VARIABLE_NAME_SPEED = 'speed'
VARIABLE_NAME_POWER = 'power'
VARIABLE_NAME_PASSES = 'passes... | null | ProjectNodes.py | ProjectNodes.py | py | 13,072 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "path.Matrix",
"line_number": 156,
"usage_type": "call"
},
{
"api_name": "svg_parser.parse_svg_transform",
"line_number": 177,
"usage_type": "call"
},
{
"api_name": "RasterPlotter.X_AXIS",
"line_number": 220,
"usage_type": "name"
},
{
"api_name": "Ra... |
534058815 | #Procesamiento de Data
from poblar_onto import Populate
from rdflib import RDF, OWL, URIRef, Graph
from rdflib.plugins.sparql import prepareQuery
#from numpy import nan
import math
import pandas as pd
import urllib.parse
def LeerDatos(filename : str, header = True):
if (header):
data = pd.r... | null | framework v. 0.2/trash/procesar_data_catalina.py | procesar_data_catalina.py | py | 17,325 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "poblar_onto.Populate",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "rdflib.Graph",
... |
454360217 | # Author: Amee Trivedi
# Objective: To plot formatting and insert times for various graph sizes as determined by the value of s
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
import os
def compute_speed(row):
return(row["Disk_Space"]*1.0/row["Real_Time"])
def ... | null | outputs/plots/formatting_insert_times.py | formatting_insert_times.py | py | 1,323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "seaborn.lineplot",
"l... |
308100169 | from unittest.mock import patch
import pytest
from oslash.either import Left, Right
from jsonrpcserver.async_dispatcher import (
call,
dispatch_deserialized,
dispatch_request,
dispatch_to_response_pure,
)
from jsonrpcserver.async_main import default_deserializer, default_validator
from jsonrpcserver.c... | null | tests/test_async_dispatcher.py | test_async_dispatcher.py | py | 3,046 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jsonrpcserver.result.Success",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jsonrpcserver.result.Result",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "jsonrpcserver.async_dispatcher.call",
"line_number": 28,
"usage_type": "call"
... |
36804946 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import datetime
class Migration(migrations.Migration):
dependencies = [
('login', '0002_staff_can_scan_ticket'),
('seminar', '0015_clientattendance_scan_count'),
]
operations = [
... | null | seminar/migrations/0016_auto_20160517_1027.py | 0016_auto_20160517_1027.py | py | 996 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 16,
"usage_type": "call"
},
{
... |
454768817 | """empty message
Revision ID: e4d95e5cac23
Revises: dd0add1fef94
Create Date: 2019-09-06 10:22:37.609143
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e4d95e5cac23'
down_revision = 'dd0add1fef94'
branch_labels = None
depends_on = None
def upgrade():
# ... | null | migrations/versions/e4d95e5cac23_.py | e4d95e5cac23_.py | py | 670 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "alembic.op.drop_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.add_column",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
585054279 | import dash
import dash_core_components as dcc
import dash_html_components as html
from scrapedData import Open
Y1 , X1 = Open()
app = dash.Dash()
app.layout = html.Div(children=[
html.H1('Dash Board'),
dcc.Graph(id = 'example',
figure={
'data':[
{'x':X1... | null | chart.py | chart.py | py | 539 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapedData.Open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dash_html_component... |
612068557 | import numpy as np
from scipy import sparse
import scipy.special as sp
import pdb
from .common import _validate_params
from ..utils.graph_functions import is_forest
from maxprod import inference_max_product as mp
def edges_to_graph(edges, n_vertices=None):
if n_vertices is None:
n_vertices = np.max(edges... | null | pystruct/inference/inference_spsp.py | inference_spsp.py | py | 15,625 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.max",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.coo_matrix",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.sparse",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line... |
648900309 | #-*-coding:utf-8-*-
#Web API Interface
import web
import utility
from entity import *
from cache import *
import config
def set_login_session_cookie(username, id):
web.ctx.session["loggedin"] = True
web.ctx.session['username'] = username
web.ctx.session['id'] = id
web.setcookie('username', username, c... | null | web/api.py | api.py | py | 11,076 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "web.ctx",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "web.ctx",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "web.ctx",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "web.setcookie",
"line_numb... |
347518262 | import pymysql
import schedule
import time
import logging
import os
import pandas as pd
import smtplib
from selenium import webdriver
from logging.handlers import TimedRotatingFileHandler
from config.ini import host, db, password, charset, usr, email_sender, email_sender_passcode, email_receiver
from image_match.goldbe... | null | main.py | main.py | py | 8,640 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.handlers.TimedRotatingFileHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 18,
"usage_type": "call"
},
{
"api... |
415330293 | import xgboost as xgb
import numpy as np
import helpers.data_load as dl
from sklearn.model_selection import train_test_split
import os
print(os.getcwd())
# Loading files
print('Loading Trainset')
DATA_FOLDER = '../../../results/pca/'
RES_FOLDER = '../../../results/pca/'
# Nb PCs to use
n_pcs=500
pc_labels = np.linsp... | null | src/training/pca/xgboost_pca.py | xgboost_pca.py | py | 2,564 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "helpers.data_load.load_response",
... |
107259692 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('controllers', '0002_auto_20151202_1443'),
]
operations = [
migrations.AlterField(
model_name='controller',
... | null | apps/controllers/migrations/0003_auto_20151202_1525.py | 0003_auto_20151202_1525.py | py | 446 | python | en | code | null | code-starcoder2 | 66 | [
{
"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"
},
{... |
366414313 | from django.urls import path
from .views import *
urlpatterns = [
path('room/<int:slug>', room, name="room"),
path('signup/', register, name="register"),
path('login/', user_login, name="login"),
path('logout/', user_logout, name="logout"),
path('shop/', shop, name="shop"),
path('cart/', cart, ... | null | webserver/auctionApp/urls.py | urls.py | py | 818 | python | en | code | null | code-starcoder2 | 66 | [
{
"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",
... |
596349436 | from selenium import webdriver
import time
try:
link = "http://suninjuly.github.io/math.html"
browser = webdriver.Chrome()
browser.get(link)
time.sleep(10)
# атрибут "disabled" с помощью встроенного метода get_attribute и проверим его значение
button = browser.find_element_by_css_selector(".bt... | null | lesson21_step65.py | lesson21_step65.py | py | 810 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
313145649 | # Author: Claudio Moises Valiense de Andrade, Licence: MIT
import claudio_funcoes as cv # functions of general use
import torch # lib for deep learning
from torch import nn # neural network in pytorch
from sklearn.feature_extraction.text import TfidfVectorizer # Apply TF-IDF
import random # utilize in random iteration... | null | nn.py | nn.py | py | 32,324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"l... |
437359647 | """ functions that read efficiently files from hdfs without saving it on disk """
from typing import Iterator, List
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
from tqdm import tqdm as tq
def read_filenames(parquet_embeddings_path: str) -> List[str]:
"""
Read the name of all the par... | null | autofaiss/datasets/readers/remote_iterators.py | remote_iterators.py | py | 2,324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyarrow.hdfs.connect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyarrow.hdfs",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
505302154 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
if __name__ == '__main__':
url = 'http://kinokong.net/29053-vse-o-muzhchinah-2016-smotret-online.html'
import requests
rs = requests.get(url)
import re
match = re.search(r'new.+?Uppod\(.*?file:.*?"(.+?mp4)"', rs.text)
if ... | null | parse_video_url_from_kinokong_net.py | parse_video_url_from_kinokong_net.py | py | 357 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 13,
"usage_type": "call"
}
] |
622257854 | from flask import request, Blueprint, jsonify
from flask_login import login_required
import requests
from cromwell_frontend.config import CROMWELL_URL
from cromwell_frontend.util import handle_exception
cromwell_api = Blueprint('cromwell_api', __name__, url_prefix='/cromwell_api')
@cromwell_api.route('/', defaults={... | null | cromwell_frontend/blueprints/cromwell_api.py | cromwell_api.py | py | 1,242 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cromwell_frontend.config.CROMWELL_URL",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "requests.request",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": ... |
232287974 | import configparser
import ast
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QPlainTextEdit,QLabel
import psycopg2
from pyqtgraph.flowchart import Flowchart, Node
import numpy as np
import pyqtgraph.flowchart.library as fclib
from node_editor_wnd import NodeEditorWnd
from node_scene import Scen... | null | Source code/firstScreen.py | firstScreen.py | py | 27,075 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "node_node.Node",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "node_node.Node.__init__",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "node_node.Node",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
... |
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