code stringlengths 20 1.04M | apis list | extract_api stringlengths 75 9.94M |
|---|---|---|
"""
Prepared by Backend/Server Team - Sheldon, Martin, Brian, Sarah, Veronica.
"""
from django.urls import re_path
from .consumers import ChatConsumer
# Assign pattern to activate selected websocket
websocket_urlpatterns = [
re_path(r'^ws/chat/(?P<room_name>[^/]+)/$', ChatConsumer),
]
| [
"django.urls.re_path"
] | [((231, 287), 'django.urls.re_path', 're_path', (['"""^ws/chat/(?P<room_name>[^/]+)/$"""', 'ChatConsumer'], {}), "('^ws/chat/(?P<room_name>[^/]+)/$', ChatConsumer)\n", (238, 287), False, 'from django.urls import re_path\n')] |
import pytest
import common
import time
from common import client, volume_name # NOQA
from common import SIZE, DEV_PATH
from common import check_volume_data, get_self_host_id, get_volume_endpoint
from common import write_volume_random_data
from common import RETRY_COUNTS, RETRY_ITERVAL
@pytest.mark.coretest # NOQ... | [
"common.get_self_host_id",
"common.check_volume_data",
"common.k8s_delete_replica_pods_for_volume",
"common.client.create_volume",
"common.wait_for_volume_healthy",
"common.write_volume_random_data",
"common.wait_for_volume_detached",
"common.client.delete",
"common.wait_for_volume_delete",
"commo... | [((529, 624), 'common.client.create_volume', 'client.create_volume', ([], {'name': 'volume_name', 'size': 'size', 'numberOfReplicas': '(2)', 'baseImage': 'base_image'}), '(name=volume_name, size=size, numberOfReplicas=2,\n baseImage=base_image)\n', (549, 624), False, 'from common import client, volume_name\n'), ((66... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2018-02-20 06:45
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('landing', '0008_remove_featurescover_active'),
]
o... | [
"django.db.models.URLField",
"django.db.migrations.RemoveField",
"django.db.models.ForeignKey",
"django.db.models.CharField",
"django.db.migrations.DeleteModel",
"django.db.models.AutoField",
"django.db.models.BooleanField"
] | [((1299, 1371), 'django.db.migrations.RemoveField', 'migrations.RemoveField', ([], {'model_name': '"""presentation"""', 'name': '"""features_cover"""'}), "(model_name='presentation', name='features_cover')\n", (1321, 1371), False, 'from django.db import migrations, models\n'), ((1416, 1460), 'django.db.migrations.Delet... |
import argparse
import numpy as np
import matplotlib.pyplot as plt
from FAUSTPy import *
#######################################################
# set up command line arguments
#######################################################
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--faustfloat',
... | [
"numpy.absolute",
"matplotlib.pyplot.show",
"argparse.ArgumentParser",
"numpy.fft.fft",
"numpy.zeros",
"matplotlib.pyplot.figure",
"numpy.linspace",
"numpy.log10"
] | [((244, 269), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (267, 269), False, 'import argparse\n'), ((1627, 1693), 'numpy.zeros', 'np.zeros', (['(dattorro.dsp.num_in, args.fs)'], {'dtype': 'dattorro.dsp.dtype'}), '((dattorro.dsp.num_in, args.fs), dtype=dattorro.dsp.dtype)\n', (1635, 1693), Tr... |
#!/usr/bin/python3
import os
import sys
import http.server
import socketserver
import socket
import shutil
from base64 import b64encode
from urllib.parse import quote
from os.path import basename, splitext, join, isfile
from collections import defaultdict
from subprocess import run
from distutils.dir_util import copy_... | [
"os.makedirs",
"os.path.basename",
"os.walk",
"collections.defaultdict",
"os.path.splitext",
"shutil.rmtree",
"os.path.join",
"os.chdir",
"distutils.dir_util.copy_tree"
] | [((447, 469), 'os.path.join', 'join', (['build_dir', '"""css"""'], {}), "(build_dir, 'css')\n", (451, 469), False, 'from os.path import basename, splitext, join, isfile\n'), ((483, 508), 'os.path.join', 'join', (['build_dir', '"""images"""'], {}), "(build_dir, 'images')\n", (487, 508), False, 'from os.path import basen... |
import os
import re
import uuid
import globals
from PIL import Image, ImageDraw, ImageFont
from utils.Asset import ImageAsset
SPACING = 5
back_regex = re.compile(r'back_([0-9]*)\.jpg')
BACK_PIC_UNIT_WIDTH, BACK_PIC_UNIT_HEIGHT = 140, 130
BACK_PIC_NUM_EACH_LINE = 5
def bg_image_gen(back_number, s):
def half_en_l... | [
"PIL.Image.new",
"utils.Asset.ImageAsset.get",
"os.path.getsize",
"os.path.exists",
"PIL.Image.open",
"sys.exc_info",
"utils.Asset.ImageAsset.image_raw",
"PIL.ImageDraw.Draw",
"os.path.join",
"os.access",
"re.compile"
] | [((153, 186), 're.compile', 're.compile', (['"""back_([0-9]*)\\\\.jpg"""'], {}), "('back_([0-9]*)\\\\.jpg')\n", (163, 186), False, 'import re\n'), ((461, 518), 'os.path.join', 'os.path.join', (['globals.staticpath', 'f"""bg/{back_number}.jpg"""'], {}), "(globals.staticpath, f'bg/{back_number}.jpg')\n", (473, 518), Fals... |
import numpy as np
from numpy import linalg as LA
class LDA():
def __init__(self, dim = 2):
self.dim = dim
self.matrixTransf = None
def fit_transform(self, X, labels):
positive = []
negative = []
for i in range(len(labels)):
if labels[i] == 1:
... | [
"numpy.mean",
"numpy.array",
"numpy.matmul",
"numpy.cov",
"numpy.linalg.pinv"
] | [((441, 459), 'numpy.array', 'np.array', (['positive'], {}), '(positive)\n', (449, 459), True, 'import numpy as np\n'), ((479, 497), 'numpy.array', 'np.array', (['negative'], {}), '(negative)\n', (487, 497), True, 'import numpy as np\n'), ((527, 552), 'numpy.mean', 'np.mean', (['positive'], {'axis': '(0)'}), '(positive... |
# Tweepy
# Copyright 2009-2010 <NAME>
# See LICENSE for details.
"""
Tweepy Twitter API library
"""
__version__ = '3.5.0'
__author__ = '<NAME>'
__license__ = 'MIT'
from tweepy.models import Status, User, DirectMessage, Friendship, SavedSearch, SearchResults, ModelFactory, Category
from tweepy.error import TweepError,... | [
"tweepy.api.API",
"tweepy.limit.RateLimitHandler"
] | [((647, 652), 'tweepy.api.API', 'API', ([], {}), '()\n', (650, 652), False, 'from tweepy.api import API\n'), ((1769, 1826), 'tweepy.limit.RateLimitHandler', 'RateLimitHandler', (['self.consumer_key', 'self.consumer_secret'], {}), '(self.consumer_key, self.consumer_secret)\n', (1785, 1826), False, 'from tweepy.limit imp... |
from datetime import timedelta
import numpy as np
import pandas as pd
import argparse
import torch
import json
import os
from add_csv import csv_to_sqlite, csv_to_json
from sqlnet.dbengine import DBEngine
from sqlova.utils.utils_wikisql import *
from train import construct_hyper_param, get_models
#### prediction ####... | [
"argparse.ArgumentParser",
"torch.utils.data.DataLoader",
"pandas.read_csv",
"train.get_models",
"sqlnet.dbengine.DBEngine",
"train.construct_hyper_param",
"torch.no_grad"
] | [((364, 389), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (387, 389), False, 'import argparse\n'), ((1007, 1036), 'train.construct_hyper_param', 'construct_hyper_param', (['parser'], {}), '(parser)\n', (1028, 1036), False, 'from train import construct_hyper_param, get_models\n'), ((1230, 129... |
import tensorflow as tf
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from PIL import Image
import Network
import dataset
from Network import BATCH_SIZE
from dataset import DataSet
def output_predict(depths, images, depths_discretized, depths_reconstructed, output_dir):
... | [
"numpy.load",
"tensorflow.gfile.Exists",
"numpy.argmax",
"tensorflow.logging.warning",
"dataset.DataSet.filename_to_input_image",
"tensorflow.logging.set_verbosity",
"tensorflow.ConfigProto",
"matplotlib.pyplot.figure",
"numpy.exp",
"tensorflow.nn.softmax",
"tensorflow.data.TextLineDataset",
"... | [((61, 82), 'matplotlib.use', 'matplotlib.use', (['"""Agg"""'], {}), "('Agg')\n", (75, 82), False, 'import matplotlib\n'), ((2575, 2644), 'tensorflow.nn.softmax_cross_entropy_with_logits', 'tf.nn.softmax_cross_entropy_with_logits', ([], {'labels': 'labels', 'logits': 'logits'}), '(labels=labels, logits=logits)\n', (261... |
# ==================================================================================================
# Copyright 2012 Twitter, Inc.
# --------------------------------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | [
"twitter.pants.targets.internal.InternalTarget.sort_targets",
"twitter.pants.base.build_invalidator.BuildInvalidator",
"twitter.pants.base.build_invalidator.CacheKeyGenerator.combine_cache_keys",
"pickle.dumps"
] | [((3070, 3155), 'twitter.pants.base.build_invalidator.CacheKeyGenerator.combine_cache_keys', 'CacheKeyGenerator.combine_cache_keys', (['[vt.cache_key for vt in versioned_targets]'], {}), '([vt.cache_key for vt in versioned_targets]\n )\n', (3106, 3155), False, 'from twitter.pants.base.build_invalidator import BuildI... |
# ***** BEGIN LICENSE BLOCK *****
# Version: MPL 1.1/GPL 2.0/LGPL 2.1
#
# The contents of this file are subject to the Mozilla Public License Version
# 1.1 (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.mozilla.org/MPL/
#
# Softwa... | [
"functools.partial",
"json.dump",
"os.remove",
"json.load",
"json.loads",
"configman.value_sources.for_json.ValueSource.write",
"os.unlink",
"tempfile.gettempdir",
"configman.config_manager.Namespace",
"configman.datetime_util.datetime_from_ISO_string",
"os.path.isfile",
"configman.value_sourc... | [((2673, 2708), 'configman.config_manager.Namespace', 'config_manager.Namespace', ([], {'doc': '"""top"""'}), "(doc='top')\n", (2697, 2708), True, 'import configman.config_manager as config_manager\n'), ((2944, 2954), 'cStringIO.StringIO', 'StringIO', ([], {}), '()\n', (2952, 2954), False, 'from cStringIO import String... |
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