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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
119121275 | import torch as tr
import torch.nn.functional as F
import numpy as np
import sklearn.metrics
class Net(tr.nn.Module):
"""
computation graph of Prototypical Network
"""
def __init__(self,nn_config,**kwargs):
super(Net,self).__init__()
self.nn_config = nn_config
in_dim = self.nn_c... | null | u6068252_code/experiment2/super_proto_linear.py | super_proto_linear.py | py | 9,201 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Parameter",
"... |
390431899 |
import zmq_connections
import argparse
ports = [5000, 5001, 5002, 5003, 5004, 5005, 5006]
class General(object):
def __init__(self, istraitor=0):
self.node_id = 0
self.istraitor = istraitor
ports.pop(self.node_id)
self.socket, self.context = zmq_connections.req_conn... | null | general.py | general.py | py | 2,486 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zmq_connections.req_connection",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 60,
"usage_type": "call"
}
] |
163478719 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^index/$', views.index,name='index'),
url(r'^register/$', views.register,name='register'),
url(r'^logins/$', views.logins,name='logins'),
url(r'^logouts/$', views.logouts,name='logouts'),
url(r'^reg_email/$', views.reg_emai... | null | TB/users/urls.py | urls.py | py | 1,024 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
182753977 | import pandas as pd
import cv2
import numpy as np
import lib.draw as draw
def match_two_groups(g1, g2, max_pos_bias):
assert g1.iloc[0]['alignment_in_group'] == g2.iloc[0]['alignment_in_group']
alignment = g1.iloc[0]['alignment_in_group']
match_num = 0
pairs = {}
for i in range(len(g1)):
... | null | lib/pairing.py | pairing.py | py | 4,061 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.full",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "lib.draw.visualize",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "lib.draw",
"line_number": 101,
"usage_type": "name"
},
{
"api_name": "lib.draw.visualize_block",
... |
17710209 | import numpy as np
from scipy.special import gamma
import matplotlib.pyplot as plt
from random import shuffle
'''
def likelihood(dataset):
res = 1
mu = np.sum(dataset[dataset==1])/dataset.shape[0]
for x in dataset:
res *= ((mu**x) * ((1-mu)**(1-x)))
return res
'''
def bet... | null | A1 - Prior to posterior probability/assignment1.py | assignment1.py | py | 2,338 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.special.gamma",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
474649373 | # uncompyle6 version 3.7.4
# Python bytecode 2.4 (62061)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-i686/egg/iw/recipe/backup/tests/test_docs.py
# Compiled at: 2009-11-25 08:12:06
"""
Doctest runner for 'iw.recipe.backup'.
"""
__docformat__ = ... | null | pycfiles/iw.recipe.backup-0.2.1-py2.4/test_docs.py | test_docs.py | py | 1,252 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zope.testing.doctest.ELLIPSIS",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "zope.testing.doctest",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "zope.testing.doctest.NORMALIZE_WHITESPACE",
"line_number": 13,
"usage_type": "att... |
403085611 | import os
import pprint
import pickle
class Writer:
def __init__(self, block_ips_to_offsets, block_offsets_to_ips):
self.block_ips_to_offset = block_ips_to_offsets
self.block_offsets_to_ips = block_offsets_to_ips
def save(self, filename):
pickle.dump([self.block_ips_to_offset, self.blo... | null | pyipttool/cache.py | cache.py | py | 4,232 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.dump",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": ... |
168494165 | import boto3
from collections import Counter
import time
s3 = boto3.resource('s3')
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('SongIndexToId')
bucket = s3.Bucket('million-song-dataset-yizhou')
prefix = "s3://million-song-dataset-yizhou/"
fileList = []
for obj in bucket.objects.filter( Prefix='TasteP... | null | Recommend/putSongIndex.py | putSongIndex.py | py | 4,858 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.resource",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": ... |
344600329 | import sys
import os
import time
import logging
import inspect
import multiprocessing
from pymedimage.notifications import pushNotification
from abc import ABCMeta, abstractmethod
# initialize module logger
logger = logging.getLogger(__name__)
class MultiprocessManagerBase:
"""Base class for multiprocessing with ... | null | pymedimage/multiprocess_manager.py | multiprocess_manager.py | py | 5,957 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "abc.ABCMeta",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "abc.abstractm... |
635112185 | import sys
import redis
from multiprocessing import Pool
import ray
import json
import os
ray.init()
print('''This cluster consists of
{} nodes in total
{} CPU resources in total
'''.format(len(ray.nodes()), ray.cluster_resources()['CPU']))
@ray.remote
def process(program):
print(program)
r = redi... | null | experiments/check_stability/get_patterns.py | get_patterns.py | py | 2,748 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ray.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ray.nodes",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ray.cluster_resources",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_numbe... |
122774315 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 21 23:00:06 2020
@author: shantanu
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import Ridge,LinearRegression,LassoLars, Lasso, ElasticNet
from sklearn.neighbors import K... | null | adv_algos.py | adv_algos.py | py | 9,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hyperopt.hp.choice",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "hyperopt.hp",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "hyperopt.hp.choice",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "hyperopt.hp",
"... |
428991158 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.utils import *
def passthrough(x):
return x
def ELUCons(elu, nchan):
if elu:
return nn.ELU(inplace=True)
else:
return nn.PReLU(nchan)
class LUConv(nn.Module):
def __init__(self, nchan, elu,dilation=1,... | null | model2.py | model2.py | py | 8,970 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.ELU",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.PReLU",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 14... |
426945975 | import decimal
import regex
import ast
import logging
import json
from datetime import datetime
from dotted.collection import DottedDict
def search_json(json_data, key):
"""Search for dot notation in json
If ALL or ANY are included in the search path, then we will return a list of matching items.
For exa... | null | framework/features/steps/step_library/framework/general/src/jsons.py | jsons.py | py | 4,850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dotted.collection.DottedDict",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "dotted.coll... |
151304571 | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from typing import Optional
from azure.ai.ml._restclient.v2023_04_01_preview.models import NlpFixedParameters as RestNlpFixedParameters
fro... | null | sdk/ml/azure-ai-ml/azure/ai/ml/entities/_job/automl/nlp/nlp_fixed_parameters.py | nlp_fixed_parameters.py | py | 3,476 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "azure.ai.ml.entities._mixins.RestTranslatableMixin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
... |
532597502 | import amino
import database
import datetime
import requests
import hashlib
import random
import uuid
import os
import io
IS_ON = False
IS_SENSITIVE = False
client = amino.Client()
activity_modules = {
"registering": {},
"online": [],
"blog_developing": {}
}
image_flags = {}
message_handlers = []
superu... | null | main.py | main.py | py | 29,704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "amino.Client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "amino.socket",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "database.session.query",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "database.sessio... |
440977944 | """
Copyright 2018 Goldman Sachs.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software di... | null | gs_quant/test/markets/test_portfolio.py | test_portfolio.py | py | 9,883 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gs_quant.session.OAuth2Session.init",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "gs_quant.session.OAuth2Session",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 32,
"usage_type": "call"... |
3134503 | """Test :class:`qibo.core.circuit.Circuit` for density matrix and noise simulation."""
import numpy as np
import pytest
import qibo
from qibo import K, gates
from qibo.models import Circuit
def test_pauli_noise_channel(backend):
from qibo import matrices
c = Circuit(2, density_matrix=True)
c.add(gates.H(0... | null | src/qibo/tests/test_core_circuit_noise.py | test_core_circuit_noise.py | py | 5,794 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qibo.models.Circuit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "qibo.gates.H",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "qibo.gates",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "qibo.gates.H",
"line_... |
290864969 | import numpy as np
import cv2
import sys
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
heatMap = cv2.applyColorMap(frame,cv2.COLORMAP_JET)
... | null | hello.py | hello.py | py | 1,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.applyColorMap",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.COLORMAP_J... |
187305670 | import requests
from bs4 import BeautifulSoup
BASE_URL = 'http://cmmcd.com/PokemonGo/'
def get_pokengo_server_status():
try:
r = requests.get(BASE_URL)
if r.status_code != 200:
return "Online!"
soup = BeautifulSoup( r.text, 'html.parser' )
return soup.bod... | null | PokemonGoClient.py | PokemonGoClient.py | py | 379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
}
] |
586736443 | import unittest
import mock
import os
from .device_mocks.ios import send_command, send_command_expect
from pyntc.devices.base_device import RollbackError
from pyntc.devices import IOSDevice
from pyntc.devices.ios_device import FileTransferError
from pyntc.errors import CommandError, CommandListError, NTCFileNotFoundEr... | null | test/unit/test_devices/test_ios_device.py | test_ios_device.py | py | 14,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pyntc.devices.IOSDevice",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "device_mocks.ios.send_command",
"line_number": 23,
"usage_type": "name"
},
{
"api_... |
616813745 | from bs4 import BeautifulSoup
import requests
import json
#####################################
# SCRAPING #
#####################################
genreDict = {}
url = "https://en.m.wikipedia.org/wiki/List_of_music_styles"
r = requests.get(url)
soup = BeautifulSoup(r.content)
# this finds all... | null | scripts/wiki-scrape.py | wiki-scrape.py | py | 2,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 52,
"usage_type": "call"
}
] |
456056531 | #!/usr/bin/env python
import threading, logging, time
import multiprocessing
from kafka import KafkaConsumer
import json
class Consumer(multiprocessing.Process):
def __init__(self):
# key as the stock symbol, value as a tuple two, left is the average, right is the total count
self.data = {}
... | null | dockercompose/consumer/consumer.py | consumer.py | py | 1,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.Process",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "threading.Event",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
380119188 | # -*- coding: utf-8 -*-
"""
Potassium Analysis
Loads SQL File and creates a DF from both telepath systems
Created on Tue Dec 24 11:44:15 2019
@author: Craig Webster
"""
import pyodbc
import pandas as pd
# Connect to datasource
conn = pyodbc.connect('DSN=QE Telepath', autocommit=True)
conn1 = pyodbc.con... | null | potassium.py | potassium.py | py | 817 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyodbc.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"... |
38010870 | #!/usr/bin/python3
# -*- encoding: utf-8 -*-
'''
File:
ngmainwin.py
Description:
NgMainWin definition
Change History:
2018-1-19 v0.1 created. github/zhenggao2
'''
from PyQt5.QtWidgets import QMainWindow, QAction, QMenu, QTabWidget, QTextEdit, QMessageBox
from PyQt5.QtWidgets import qApp, QApplicat... | null | ngmainwin.py | ngmainwin.py | py | 6,615 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QTabWidget",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QTextEdit",
"line_number": 34,
"usage_type": "call"
},
{
"... |
397816940 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import cloudinary.models
class Migration(migrations.Migration):
dependencies = [
('videos', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='contentty... | null | videos/migrations/0002_auto_20150812_1621.py | 0002_auto_20150812_1621.py | py | 658 | python | en | code | null | code-starcoder2 | 76 | [
{
"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.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
535604947 | import numpy as np
from sklearn import datasets
def sign(x):
return 1 if x >= 0 else -1
'''
函数功能：
数据加载函数，使用sklearn中的乳腺癌数据集。其中data标签对应的是数据的特征，target是分类的标签。
因为target中的分类标签是0和1的，而感知机的分类集是1和-1，所以通过numpy的bool索引筛选之后在转化
输入参数：
无
返回数据：
features：表示数据样本的特征值，一个二维的array。
labels：表示数据样本的分类标签，一个一维的array。
'''
... | null | Chapter02_Perceptron/src/perceptron.py | perceptron.py | py | 3,941 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "nump... |
551122571 | from ase.calculators.calculator import Calculator
class OnlineMLP(Calculator):
def __init__(self,
restart=None,
label=None,
atoms=None,
directory='.',
**kwargs):
"""Basic calculator implementation.
restart: str
... | null | learn-onlineML/test_ase_md/oml_ase_calc.py | oml_ase_calc.py | py | 1,149 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ase.calculators.calculator.Calculator",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "ase.calculators.calculator.Calculator",
"line_number": 28,
"usage_type": "argument"
}
] |
437724659 | from django.urls import path
from . import views
urlpatterns = [
path("registerLawyer", views.registerLawyer,name='registerLawyer'),
path("registerClient",views.registerClient,name='registerClient'),
path("login",views.login,name='login'),
path("logout",views.logout,name='logout'),
] | null | accounts/urls.py | urls.py | py | 302 | python | en | code | null | code-starcoder2 | 76 | [
{
"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",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
347420889 | from django.http import HttpResponse
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.decorators import login_required
from .models import Task
from .forms import TaskForm
from django.contrib import messages
from django.core.paginator import Paginator
# Create your views here.
... | null | tasks/views.py | views.py | py | 3,041 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Task.objects.filter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.Task.objects",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_... |
512308474 | import warnings
warnings.simplefilter("ignore", UserWarning)
warnings.simplefilter("ignore", FutureWarning)
warnings.simplefilter("ignore", DeprecationWarning)
from sklearn.metrics import accuracy_score
import tensorflow as tf
from tensorflow.keras import backend as K
import os
import json
import pickle
from tensorflow... | null | fed_av_algo.py | fed_av_algo.py | py | 9,819 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.simplefilter",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pickle... |
277409703 | import cv2
cap = cv2.VideoCapture('../DATA/finger_move.mp4')
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HIGHT))
# Top left corner
x = width // 2 # allows integer
y = height // 2
# width and height of rectangle
w = width // 4
h = height // 4
# bottom right corner
while ... | null | opencv/opencv-code/video-basics/drawing-on-video.py | drawing-on-video.py | py | 556 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HIGHT",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_nam... |
380913545 | from django.http import HttpResponse
from django.template import RequestContext, loader
from smdb.models import *
def index(request):
small_molecules = []
sms = SmallMolecule.objects.all()
species_list = []
for sm in sms:
sm_map = {}
sm_map['object'] = sm
sm_map['species'] = [stu.species for stu in sm.study... | null | smdb/views.py | views.py | py | 1,423 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.template.RequestContext",
"line_number": 16,
"usage_type": "call"
},
... |
283503708 | from timeit import default_timer as timer
from django.conf import settings
from django.http import Http404, HttpResponseBadRequest
from django.shortcuts import redirect
from main import models
def host_middleware(get_response):
def middleware(request):
host = request.META.get("HTTP_HOST")
# no ... | null | main/middleware.py | middleware.py | py | 3,139 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings.CANONICAL_HOST.split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.CANONICAL_HOST",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 19,
"usage_type"... |
588914731 | import requests
import sys
from PyQt5.QtWidgets import QWidget, QApplication , QPushButton, QGridLayout , QLabel
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from bs4 import BeautifulSoup
import numpy as np
req = requests.get('http://www.inven.co.kr/b... | null | ChartInQt.py | ChartInQt.py | py | 2,875 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets... |
644360780 | import json
from django.http import HttpResponse
from django.shortcuts import render
# 序列化 ---- 生成json数据
# 反序列化 ----- 解析json数据
from home.models import Product, ProductImage, Category, CategorySub, Banner, BaseModel
def index(request):
return render(request, 'index.html', {})
def get_head_data(request):
... | null | home/views.py | views.py | py | 2,847 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "home.models.Product.objects.filter",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "home.models.Product.objects",
"line_number": 56,
"usage_type": "attribute"
}... |
41874975 | # -*- coding: utf-8 -*-
from accounts.forms import Form_sign_in, Form_sign_up
from accounts.models import Profile
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from dja... | null | build/lib/accounts/views.py | views.py | py | 2,574 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ppcd.common._common",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "accounts.forms.Form_sign_in",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "accounts.forms.Form_sign_in",
"line_number": 20,
"usage_type": "call"
},
{
"api_n... |
627028507 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 本模块测试发布任务以后，任务相关的公共api，包括：
# 1. 领取、退回、提交等用户操作;
# 2. 重新发布、删除、指派等管理员操作;
# 3. 定时回收超时任务等系统操作
from bson.objectid import ObjectId
from tests import users as u
from tests.testcase import APITestCase
from controller import errors as e
from controller import helper as hp
from dat... | null | tests/task/test_task.py | test_task.py | py | 12,389 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tests.testcase.APITestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tests.users.expert1",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tests.users",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "tests... |
42698130 | # -*- coding:utf-8 -*-
#pre-condition: install scrapy: sudo pip3 install sctapy
#command: scrapy runspider filename.py -o outputfilename.json
import scrapy
from shiyanlougithub.items import RepositoryItem
class RepositorySpider(scrapy.Spider):
name = 'repository'
@property
def start_urls(self):
... | null | shiyanlougithub/shiyanlougithub/spiders/repository.py | repository.py | py | 790 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
}
] |
111831672 | from __future__ import print_function
import os
import sys
import timeit
import numpy
from collections import defaultdict
import theano
import theano.tensor as T
from scipy.sparse import csc_matrix
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
from theano import sparse
from algo.preprocess.dim_... | null | algo/dA.py | dA.py | py | 8,439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "const.conf.midStepFolder",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "const.conf",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "const.conf.midStepFolder",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name":... |
397140195 | #! /usr/bin/python
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import subprocess as subp
import os
import timeit
import argparse
#############################################################
# #
# ... | null | 25_vf2.0_varying_beta_and_nrand/ellipsoid_analysis.py | ellipsoid_analysis.py | py | 10,030 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "timeit.default_t... |
180111191 | # -*- coding: utf-8 -*-
# -----------------------------Импорт модулей-----------------------------------
from PyQt5 import QtSql
from PyQt5 import QtCore
import os
import os.path
import shutil
from PyQt5.QtWidgets import QWidget, QLabel, QVBoxLayout, QFormLayout, QTableWidget, QComboBox, \
QSpinBox, QPushButton, ... | null | forms/system_forms/mirrorMeshDict_y_form.py | mirrorMeshDict_y_form.py | py | 13,972 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 18,
"usage_type": "name"
},
{
"... |
411971239 | from multiprocessing import Queue
from threading import Thread
import time
def producer(d):
print ('start pruducer')
for i in range(10):
d.put(i)
print ('producer to put:',i)
time.sleep(0.5)
def customer(d):
print ('start customer')
while 1:
data = d.get()... | null | twostr/__init__.py | __init__.py | py | 533 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
... |
238065799 | import cv2
import numpy as np
img =cv2.imread('faizan.jpg')
# Stroe height and width of the image
height ,width =img.shape[:2]
# shape is function and print height and width o to 2 index value
print(height)
print(width)
# It means original img devide by any form ,How much img u re see
#And quarter is a function whi... | null | Geometric-Image-Transformation/Imagetranslation.py | Imagetranslation.py | py | 1,180 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number"... |
390217714 | #constants
from flask import Flask, jsonify, abort, request
from flask_mongoengine import MongoEngine
from flask_cors import CORS
import logging
import os
import datetime as dt
from flasgger import Swagger,swag_from
from flask_jwt_extended import (
JWTManager, jwt_required, create_access_token, get_jwt_identity, jw... | null | src/app/common/config.py | config.py | py | 1,864 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
502149714 | import networkx as nx
def dfs(g: nx.Graph, curr, parent, distance, lens, start, matris):
ans = False
if distance == lens:
return False
for node in g.neighbors(curr):
matris[node][curr] += 1
matris[curr][node] += 1
ans2 = dfs(g, node, curr, distance + 1, lens, start, matris)... | null | executables/walk2.py | walk2.py | py | 998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.Graph",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "networkx.Graph",
"line_number": 27,
"usage_type": "call"
}
] |
325989919 | # coding: utf-8
# MTMM.00.195 Sissejuhatus finantsmatemaatikasse
# 2. kodutöö - Priit Lätt
# Impordime edaspidises vajaminevad moodulid:
# * `datetime` - kuupäevade formaatimiseks,
# * `numpy` - vektorarvutuse jaoks,
# * `matplotlib` - jooniste tegemiseks,
# * `HTML` - algandmete tabelina kuvamiseks.
import date... | null | yl2/sfm_yl2_aktsiahinnad_priit_latt.py | sfm_yl2_aktsiahinnad_priit_latt.py | py | 3,520 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "IPython.display.HTML",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
246961534 | '''
문제
올해 ACM-ICPC 대전 인터넷 예선에는 총 n개의 팀이 참가했다. 팀은 1번부터 n번까지 번호가 매겨져 있다. 놀랍게도 올해
참가하는 팀은 작년에 참가했던 팀과 동일하다.
올해는 인터넷 예선 본부에서는 최종 순위를 발표하지 않기로 했다. 그 대신에 작년에 비해서 상대적인 순위가 바뀐 팀의
목록만 발표하려고 한다. (작년에는 순위를 발표했다) 예를 들어, 작년에 팀 13이 팀 6 보다 순위가 높았는데, 올해 팀 6이
팀 13보다 순위가 높다면, (6, 13)을 발표할 것이다.
창영이는 이 정보만을 가지고 올해 최종 순위를 만들어보려고 한다. 작년 순... | null | algorithms/source/위상정렬/2.Final rank (3665_topology_sort).py | 2.Final rank (3665_topology_sort).py | py | 3,950 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdin",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 98,
"usage_type": "call"
}
] |
372009984 | # Module to select an elliptical ROI from an image stack and return a mask
from matplotlib.patches import Ellipse
from matplotlib.widgets import EllipseSelector
import matplotlib.pyplot as plt
from pylab import *
import numpy as np
def draw_ellipse(imagestack):
#### Main function to draw ellipse on the stack
# Make... | null | roi_ellipse.py | roi_ellipse.py | py | 3,146 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros_like",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotli... |
580347333 | import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import sys
import os
#label = "1 GeV"
filename = sys.argv[1]
alldat = np.loadtxt(filename)
pts = alldat[:,0]
markers=['s', '+', 'd', '.', 'o', '*']
for i, pt in enumerate(np.unique(pts)):
dat = alldat[pts==pt]
eta = np.ar... | null | scripts/plot_delta_pt.py | plot_delta_pt.py | py | 1,655 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_nu... |
389785329 | from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth.models import User
from django.contrib import auth
from .models import Blog
from django.utils import timezone
def signup(request):
if request.method == "POST":
if request.POST['password1'] == request.POST['password2'... | null | main/views.py | views.py | py | 5,550 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User",
"line_numb... |
127415912 | # A module with functions for testing models
# ------------------------------------------------------------------------------------------------------
# Imports
import numpy as np
from statistics import mean, pstdev, StatisticsError
# -----------------------------------------------------------------------------------... | null | Scripts/Regressors/test_harness.py | test_harness.py | py | 6,863 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.where",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_nu... |
306509855 | import scipy
from bayesdend.rec_model.rec_model_util import *
from bayesdend.rec_model.spikes import *
from tensorflow.contrib.distributions import BernoulliWithSigmoidProbs
class SOMA_VIMCO(Spikes):
"""
Soma sample-based model.
"""
def __init__(self, Nb, *args, **kwargs):
super().__init__(*a... | null | bayesdend/rec_model/soma_vimco.py | soma_vimco.py | py | 1,949 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.contrib.distributions.BernoulliWithSigmoidProbs",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.special.logit",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.special",
"line_number": 31,
"usage_type": "attribut... |
653181127 | import json
import os
import sys
from apimgt import swagger
from policy import policy_engine
from utils import utils
__author__ = 'hiranya'
__email__ = 'hiranya@cs.ucsb.edu'
class Eager:
"""
Eager class is the main entry point to the AppScale Eager
implementation. An instance of this class can be used to
perf... | null | Eager/eager.py | eager.py | py | 8,161 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.utils.get_secret",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "utils.utils",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
343942397 | from scipy.io import loadmat
import glob
import re
import os.path
from ntpath import basename
from data_gen.data_gen_utils import *
class LSP_dataset(DataGen):
image_dir, joint_file = "lspet/images", "lspet/joints.mat"
transpose_order = (2, 0, 1)
def _load_image_joints(self):
"""
The file... | null | src/data_gen/lsp_datgen.py | lsp_datgen.py | py | 1,387 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line... |
178829379 | import csv
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
np.set_printoptions(precision=15,linewidth=105,threshold=34)
np.random.seed(2)
addressList = []
TEST_TRAIN_SET_NUMBER = 4 # This number corresponds to which testing/training data set needs to ... | null | Trevin/TestingVsTrainingAnalysis/PlotMismatch_dB.py | PlotMismatch_dB.py | py | 5,654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
... |
135790345 | from django.contrib import admin
from mptt.admin import MPTTModelAdmin
from .models import Issue, Place, Priority, Skill
@admin.register(Place)
class PlaceAdmin(MPTTModelAdmin):
list_display = ('title', )
search_fields = ('title', )
@admin.register(Skill)
class SkillAdmin(admin.ModelAdmin):
list_display... | null | upkeep/admin.py | admin.py | py | 744 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mptt.admin.MPTTModelAdmin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Place",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": ... |
238615061 | from typing import Generator
from database import LocalSession
# noinspection PyUnboundLocalVariable
def get_db() -> Generator:
""" Provides with a database dependency, closes connection after endpoint has completed """
try:
db = LocalSession()
yield db
finally:
db.close()
| null | backend/api/dependencies.py | dependencies.py | py | 313 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "database.LocalSession",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Generator",
"line_number": 7,
"usage_type": "name"
}
] |
351163117 | from flask import Blueprint, jsonify, request, session, redirect, url_for,\
flash
from flask_restful import Resource, Api
import requests
import json
from functools import wraps
from extensions import login_required
USERNAME = "TA2JPwy5BjQfzJ102l-kN8gXbJOC3M6O9OH80XjM"
IP_ADDR = "192.168.0.100"
BASEURL = "http://" + I... | null | home/hue.py | hue.py | py | 1,039 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_restful.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line... |
193421849 | from __future__ import unicode_literals
from django.db import models
# Create your models here.
# *********************************************************************
# CARGA *
# *********************************************************************
from... | null | DataUpload/models.py | models.py | py | 1,143 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
509425285 | # Copyright (C) 2010-2014 by Dr. Dieter Maurer <dieter@handshake.de>; see 'LICENSE.txt' for details
"""Support for the http redirect binding.
The redirect binding allows to transport an SAML2 message
(request or response) via query string parameters in an HTTP ``GET``
request, usually used via an HTTP redirect.
Due t... | null | dm/saml2/binding/httpredirect.py | httpredirect.py | py | 4,537 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dm.saml2.config.signature_method",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "dm.saml2.config",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "zlib.compress",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "p... |
249130289 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymongo
from TikTokBot.items import DouYinBotItem,TiktokbotItem
import urllib.request
import pymongo
import os
class D... | null | TikTokBot/pipelines.py | pipelines.py | py | 2,260 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "TikTokBot.items.DouYinBotItem",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "TikTokBot.items.TiktokbotItem",
"line_number": 28,
"usage_type": "argument"
},
... |
583709434 | from mpi4py import MPI
from tmr import TMR
import argparse
import os
# Create the communicator
comm = MPI.COMM_WORLD
# Create an argument parser to read in command-line arguments
p = argparse.ArgumentParser()
p.add_argument('--reverse', default=False, action='store_true')
p.add_argument('--forest_output', type=str, d... | null | examples/crm/ucrm_to_forest.py | ucrm_to_forest.py | py | 1,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tmr.TMR.L... |
564169126 | import numpy as np
from dt_apriltags import Detection
from datetime import datetime
import math
import aprilTagLocations as atl
#import matplotlib.pyplot as plt
def LinePlaneCollision(planeNormal, planePoint, rayDirection, rayPoint, epsilon=1e-6):
ndotu = planeNormal.dot(rayDirection)
if abs(ndotu) < epsilon:
... | null | AprilTag_Detections.py | AprilTag_Detections.py | py | 8,882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
146150404 | import mongokit
from bson import ObjectId
# When site admin is true, all other fields are irrelevant
class Rule(mongokit.Document):
structure = {
'label' : basestring,
'db' : ObjectId,
'facebook_id' : basestring,
'can_see' : [ObjectId],
'can_see_all' : bool,
'db_adm... | null | slideatlas/model/rule.py | rule.py | py | 400 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mongokit.Document",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "bson.ObjectId",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "bson.ObjectId",
"line_number": 11,
"usage_type": "name"
}
] |
471711631 | import pygame
from pygame.locals import *
from math import *
import main
class Car(pygame.sprite.Sprite):
def __init__(self, start_pos, start_angle, image, keys, username, initial_score, initial_laps, initial_hits):
'''Initialises the Car object'''
super().__init__()
self.x = start_pos[... | null | Proyectos/proyecto3/jgonzalez-proyecto3/Car_Class.py | Car_Class.py | py | 2,593 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.sprite",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.scale",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame... |
482114682 | #!/usr/bin/env python
from importlib import import_module
import subprocess
# TODO: Use regex module for better PCRE support?
# https://bitbucket.org/mrabarnett/mrab-regex
import re
import time
import copy
from inspect import isfunction
from functools import reduce
import urwid
from vit import version
from vi... | null | vit/application.py | application.py | py | 42,219 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urwid.Frame",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "vit.loader.Loader",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "vit.config_parser.ConfigParser",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "vit... |
554239687 | # Copyright 2019 The TensorFlow Authors. 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 applica... | null | keras/engine/keras_tensor_test.py | keras_tensor_test.py | py | 4,648 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.keras_parameterized.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "keras.keras_parameterized",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "keras.engine.keras_tensor.KerasTensor",
"line_number": 30,
"usage_type"... |
18825291 | # -*- coding=utf-8 -*-
# The MIT License (MIT)
#
# Copyright (c) 2016 R1tschY
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
#... | null | benchmarks/icount.py | icount.py | py | 4,386 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.count",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "itertools.count",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "collections.deque",... |
126253967 | import os
import speech_recognition as sr
import youtube_dl
import pydub
parameter = {
'format': 'bestaudio/best',
'outtmpl':'\\%(input)s.%(ext)s',
'postprocessors':[{
'key': 'FFmpegExtractAudio',
'preferredcodec': 'mp3',
'preferredquality': '192',
}],
}
youtube... | null | main.py | main.py | py | 1,962 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "youtube_dl.YoutubeDL",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment.from_mp3",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name... |
334326864 | """
En este apartado vamos a ver la diferencia entre los diferentes
modos de cifrado. Para ello se va a repetir el ejercicio anterior,
utilizando los modos de cifrado OFB, CFB, ECB.
Compara el criptograma obtenido en cada uno de los casos.
"""
import os
from cryptography.hazmat.primitives.ciphers import Cipher... | null | criptografia_1B_CFB.py | criptografia_1B_CFB.py | py | 900 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.urandom",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.Cipher",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.algorithms.AES",
"line_number": 17,
"usag... |
158073177 | from selenium import webdriver
import time
import math
def calc(x):
return str(math.log(abs(12*math.sin(x))))
# считаем функцию по этой формуле
try:
browser = webdriver.Chrome()
browser.get("http://suninjuly.github.io/redirect_accept.html")
#open browser
browser.find_element_by_xpath("//button[@cl... | null | lesson_2.3.6.py | lesson_2.3.6.py | py | 920 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.log",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"l... |
400463565 | import os
import logging
from dotenv import load_dotenv
from pymongo import MongoClient
from slack_bolt.async_app import AsyncApp
from slack_sdk.web.async_client import AsyncWebClient
from data_collector import DataCollector
from controller import Controller
from app_home import AppHome
from message_handler import s... | null | app.py | app.py | py | 4,906 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.environ.g... |
425360295 | import aiohttp
import asyncio
from app.services.utils import random_name_generator
class AsyncCrawler:
"""
Crawler using aiohttlp to downloads images asynchronously.
"""
def __init__(self, target_urls=[]):
self.target_urls = target_urls
@staticmethod
async def fetch(client, url):
... | null | app/services/crawler.py | crawler.py | py | 1,163 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.services.utils.random_name_generator",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 36,
"usage_type": "call"
},
{
"api... |
247414210 | # coding=utf-8
'''
Torrent-tv.ru Playlist Downloader Plugin
http://ip:port/ttv
'''
import re
import logging
import urllib2
import time
import gevent
from modules.PluginInterface import AceProxyPlugin
from modules.PlaylistGenerator import PlaylistGenerator
import config.ttv as config
import urllib
import urlparse
class... | null | plugins/ttv_plugin.py | ttv_plugin.py | py | 4,210 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "modules.PluginInterface.AceProxyPlugin",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "config.ttv.updateevery",
"line_number": 41,
"usage_type": "attribute"
},
{
... |
34833959 | __author__ = 'roman'
def word_endings(flag, number):
patterns = {'days': ['день', 'дня', 'дней'],
'hours': ['час', 'часа', 'часов'],
'minutes': ['минуту', 'минуты', 'минут']}
if flag in ('days', 'hours', 'minutes'):
if number == 1:
return patterns[flag][0]
... | null | utils.py | utils.py | py | 1,675 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.utils.timezone.localtime",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "call"
}
] |
444322088 | import os
import pandas as pd
import numpy as np
import PIL
import PIL.Image as Image, PIL.ImageDraw as ImageDraw, PIL.ImageFont as ImageFont
import cv2
from tqdm import tqdm as T
from p_tqdm import p_map
HEIGHT = 137
WIDTH = 236
SIZE = 128
dir_name = 'data/train_128px'
if os.path.exists(dir_name):
... | null | image_creator.py | image_creator.py | py | 2,716 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_parquet",
"line_... |
652383378 | from bs4 import BeautifulSoup
import xml.etree.ElementTree as ET
from transliterate import translit
# some magic write nice xml's
def indent(elem, level=0):
i = "\n" + level*" "
j = "\n" + (level-1)*" "
if len(elem):
if not elem.text or not elem.text.strip():
elem.text = i + " "
... | null | Kirill_Stuff/trup/main.py | main.py | py | 8,159 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "transliterate.translit",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 63,
"usage_type": "call"
},
{
"api_name":... |
264942901 | import sys
import re
from collections import defaultdict
inf = sys.stdin
outf = sys.stdout
def handle_case(case_num):
case_str = 'Case #{0}: '.format(case_num)
tx, ty = map(int, inf.readline().strip().split())
paths = defaultdict(list)
current_points = set([(0, 0)])
for i in range(1, 600):
... | null | codejam/2013/1C/B/solve.py | solve.py | py | 1,023 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"... |
172957860 | import requests
import pymongo
import datetime
import json
def insert_mongodb(data):
MONGODB_SERVER = "124.42.117.168"
MONGODB_PORT = 27017
MONGODB_DB = "qisu"
MONGODB_COLLECTION = "dailynews"
client = pymongo.MongoClient(MONGODB_SERVER, MONGODB_PORT)
db = client[MONGODB_DB]
db.authenticat... | null | qisu/daynews/publicSougou.py | publicSougou.py | py | 2,324 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "r... |
288783261 | import numpy as np
from ast import literal_eval
from spacy.gold import biluo_tags_from_offsets, tags_to_entities
from wasabi import Printer
from scipy.sparse import coo_matrix
messenger = Printer()
def get_default_columns():
"""
To get list of columns names to be default in annotation dataframe.
:return: ... | null | dframcy/utils.py | utils.py | py | 15,540 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wasabi.Printer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 207,
"usage_type": "call"
},
{
"api_name": "spacy.gold.biluo_tags_from_offsets",
"line_number": 208,
"usage_type": "call"
},
{
"api_name": "s... |
578142278 | # -*- coding: utf-8 -*-
import logging
from math import sqrt
import numpy as np
from numpy.testing import assert_almost_equal
import pyhrf
from pyhrf import xmlio
from pyhrf.ndarray import xndarray, stack_cuboids
from pyhrf.jde.models import WN_BiG_Drift_BOLDSamplerInput, GSDefaultCallbackHandler
from pyhrf.jde.sa... | null | python/pyhrf/jde/asl_physio.py | asl_physio.py | py | 78,197 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.divide",
"line_nu... |
302433436 | from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
class PrMenu(BoxLayout):
"""Menu Widget"""
def __init__(self, **kwargs):
# make sure we aren't overriding any important functionality
super(PrMenu, self).__init__(**kwargs)
# props
self.size_hint = (1, ... | null | piro/widgets/menu.py | menu.py | py | 680 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kivy.uix.boxlayout.BoxLayout",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "kivy.uix.button.Button",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kivy.uix.button.Button",
"line_number": 17,
"usage_type": "call"
}
] |
192203068 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rc('text', usetex=True)
matplotlib.rcParams['text.latex.preamble']=[r"\usepackage{amsmath}"]
#----------------------------------------------------------
""" use log2() for log base 2 """
#----------------------------------------------------... | null | phd/reports/eighteen_month/res/static_fcts.py | static_fcts.py | py | 1,406 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rc",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.log",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_... |
229141117 | import logging
import copy
import math
from enum import Enum
from cobra.core import Metabolite, Reaction
from cobra.core.dictlist import DictList
from cobra.util import format_long_string
from modelseedpy.core.msmodel import get_direction_from_constraints, \
get_reaction_constraints_from_direction, get_cmp_... | null | modelseedpy/core/mstemplate.py | mstemplate.py | py | 31,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "cobra.util.format_long_string",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "cobra.util.... |
312816608 | import json
import pika, logging
from config import *
from performer import *
def on_message(channel, method_frame, header_frame, body):
body = json.loads(body)
send = body["NAME"] = perform(body["NAME"])
send_to_queve(body)
LOG.info(f'Message "{send}" has been sent')
channel.basic_ack(delivery_tag... | null | main.py | main.py | py | 1,239 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_num... |
627722880 | from bilmo.scripts.config import Config
from fastai.text.models import TransformerXL, Transformer, Activation
from torch import nn
import logging
conf = Config.conf
log = logging.getLogger("cafa-logger")
def init_transformer(m):
classname = m.__class__.__name__
if classname.find('Linear') != -1:
if has... | null | bilmo/models/Transformer.py | Transformer.py | py | 1,436 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bilmo.scripts.config.Config.conf",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "bilmo.scripts.config.Config",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"... |
338530376 | from django.contrib import admin
# Register your models here.
from .models import Reporter, Report, Receiver, ReportStatus
class ReportInLine(admin.TabularInline):
model = Report
class ReportStatusInLine(admin.TabularInline):
model = ReportStatus
@admin.register(Reporter)
class ReporterAdmin(admin.ModelAdmin):
... | null | report/admin.py | admin.py | py | 985 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Report",
"line_number": 7,
"usage_type": "name"
},
{
"api_name"... |
276262447 | from selenium import webdriver
from selenium.webdriver.common.by import By
#Driver Intialization
driver=webdriver.Chrome(executable_path="D:\SeleniumPython\drivers\chromedriver.exe")
driver.maximize_window()
driver.get("https://techcanvass.com/examples/webtable.html") # Launch Browser
driver.implicitly_wait(10)
row... | null | SeleniumPython/Table.py | Table.py | py | 739 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
518563699 | import numpy as np
import utils.helmholtz3D
from poisson_scc import *
from utils.utils_basic import *
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
class poisson_IIM_solver(object):
def __init__(self, pde):
self.pde = pde
self.irr_proj ... | null | poisson_IIM_solver.py | poisson_IIM_solver.py | py | 23,560 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"l... |
378753179 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.contrib.auth.decorators import permission_required
from ikwen.flatpages.views import FlatPageView
from ikwen_shavida.movies.views import Home
from ikwen_shavida.sales.views import Dashboard
admin.autodiscover()
urlpatter... | null | conf/urls.py | urls.py | py | 1,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 11,
"usage_type": "call"
},
{
"ap... |
513302034 | from django.urls import path
from . import views
urlpatterns = [
path('insert1', views.insert1, name='insert1'),
path('select1', views.select1, name='select1'),
path('select_m', views.select_m, name='select_m'),
path('select3', views.select3, name='se... | null | 2py_web/django/web1/api/urls.py | urls.py | py | 338 | 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",
... |
397016061 | """
Ukázkový příklad použití pygame.
Hodně vysvětlování...
"""
# https://www.pygame.org/docs/tut/PygameIntro.html
import sys
import os
import pygame
# relativní cesta vzhledem k tomuto souboru -> absolutní cesta
def fix_path(p):
return os.path.dirname(os.path.realpath(__file__)) + "/" + p
# připraví pygame (mus... | null | prg/2020-11-23/01-pygame.py | 01-pygame.py | py | 2,348 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line... |
197488086 | """
Textractor module
"""
import re
from nltk import sent_tokenize
from tika import parser
from .base import Pipeline
class Textractor(Pipeline):
"""
Extracts text from files.
"""
def __init__(self, sentences=False, lines=False, paragraphs=False, minlength=None, join=False):
"""
Cr... | null | src/python/txtai/pipeline/textractor.py | textractor.py | py | 3,055 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.Pipeline",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tika.parser.from_file",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "tika.parser",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "nltk.sent_tokenize",
... |
32995996 | from typing import Optional
from fastapi import Depends, HTTPException, status
from sqlalchemy.orm import Session
from ..models.operations import (
OperationKind,
OperationCreate,
OperationUpdate,
)
from ..database import get_session
from .. import tables
class OperationsService:
def __init__(self, se... | null | workshop/services/operations.py | operations.py | py | 2,363 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "database.get_session",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "fasta... |
253267871 | import IPython
import argparse
import string
from collections import deque
import pandas as pd
from commentsbot.markov import POSMarkovModel
import spacy.en
def main():
parser = argparse.ArgumentParser()
parser.add_argument('filename', type=str)
args = parser.parse_args()
df = pd.read_csv(args.filena... | null | commentsbot/train_markov_model.py | train_markov_model.py | py | 1,248 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "spacy.en.en.English",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "spacy.en.... |
77427547 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 29 03:48:22 2020
@author: Jagseer Singh
"""
import pandas as pd
import numpy as np
import pickle
Pkl_Filename = "selling_predictor.pkl"
dataset=pd.read_csv("dataset.csv")
x=dataset.iloc[:,0:7]
y=dataset.iloc[:,7].values
print(x.shape,y.shape)
from skle... | null | training.py | training.py | py | 975 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 25,
"usage_type": "cal... |
324477958 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Filename: support.py
# Shell and config manipulation
# Author: Pedro H. A. Hasselmann
# Escrevendo em python3 e usando python2.6:
from __future__ import print_function, unicode_literals, absolute_import, division
from numpy import array, arange, concatenate, all, insert, ve... | null | binarytree.py | binarytree.py | py | 4,394 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.vectorize",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.vectorize",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "scipy.cluster.hierarchy.median",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "scipy.... |
9587296 | import typing
from dataclasses import dataclass, field
from .. import constants, errors, utils
__all__ = (
'JsonRpcRequest',
'JsonRpcBatchRequest',
)
@dataclass
class JsonRpcRequest:
method_name: str
id: typing.Any = constants.NOTHING
jsonrpc: str = constants.VERSION_2_0
extra_args: dict = ... | null | aiohttp_rpc/protocol/request.py | request.py | py | 3,073 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Any",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.field",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dataclasses.field",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.Any",
... |
142307095 | #!/usr/bin/env python3
import numpy as np
from baselines.common.cmd_util import mujoco_arg_parser
from baselines import bench, logger
from baselines.common import set_global_seeds
from libs.PPO.vec_normalize import VecNormalize
from libs.PPO import ppo2
from libs.PPO.policies import *
import gym
import tensorflow as t... | null | Matrix/libs/PPO/Backup/PPO.py | PPO.py | py | 2,142 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "baselines.logger.configure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "baselines.logger",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "te... |
385860348 | """
LAG (Link Aggregation Group) configuration module.
Copyright 2013 Aviat Networks
This file contains a set of functions for LAG configuration.
"""
import time
import re
import logging
def lag_configure(lag_name, testrig):
'''Perform and validate named lag configuration (lag_name) per topology file.'''
... | null | protocols/lag.py | lag.py | py | 2,163 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 62,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.