content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
__author__ = 'ali-pc'
from django.shortcuts import render, redirect
from django.contrib import auth
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from .forms import LoginForm, RegisterForm, ProfileForm
@login_required()
| [
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... | 2.930693 | 101 |
from ethereum import utils
print(checksum_encode(bytes.fromhex('2f6bc758319982417b01b6ff09a9860a79c14cbb'))) | [
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from torch import load, save
from os.path import dirname, isfile
from os import listdir, remove
from ast import literal_eval
from cnn.statistics import Statistics
from cnn.trainRegime.regime import TrainRegime
bopsKey = 'bops'
baselineKey = 'Baseline'
folderName = 'FF-4'
plotPath = '/home/vista/Desktop/F-BANN... | [
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... | 2.510929 | 732 |
"""
tests.test_overlay
~~~~~~~~~~~~~~~~~~
Test OverlayFS and OverlayFSManager
"""
import fudge
from nose.tools import raises
from testkit import ContextUser
from overlayUtils.overlay import *
from .utils import verify, reset
class TestOverlayMoreGeneral(GenericOverlaySetup):
"""This test class assumes less wit... | [
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from django.urls import path
from apps.carts.views import CartsView, CartsSelectAllView
urlpatterns = [
path('carts/', CartsView.as_view()),
path('carts/selection/', CartsSelectAllView.as_view()),
] | [
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import os, sys, time, json, csv, hashlib
from pprint import pprint
#Imports configurations and add these modules to python enviroment
from config import config, system_config, output_files
from cogs.cognitor import cogs
# Sets-up the class and creates a directory for all the temp files.
cogs = cogs(output_files['c... | [
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... | 3.080508 | 236 |
import os, importlib
import sys as sss
global x
h = os.path.join(".")
x = os.environ.get("lkwem")
x = "Hello"
y = x[0]
glob = 1
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8... | 2.177419 | 62 |
dict_ = {"a": {"b": 1}}
return_data_form = dict_.get([k for k, v in dict_.items()][0])
print(return_data_form) | [
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import pandas as pd
from _datetime import datetime
from curami.commons import file_utils, mongo_connector
if __name__ == '__main__':
generate_file()
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from typing import List, Tuple
from utils import ConceptNet, removeprefix
def render_path_verbose(path: List[int], graph: ConceptNet):
"""this function gives a verbose textual representation for the given path, including all edges between the given nodes, node and label indices and label weights.
Example
... | [
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3... | 2.295527 | 3,465 |
import numpy as np
import pandas as pd
from tabulate import tabulate
from .util import *
def key_adder(w2v_model, wordpairs):
"""Account for as many cases of british vs. american spelling as possible
in W2V vocabulary
Args:
w2v_model : standard Word2Vec 'KeyedVectors' data structure
wordps ... | [
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259... | 2.197561 | 6,479 |
"""
The Koch curve is a fractal that looks something like Figure 5.2. To draw a Koch
curve with length x, all you have to do is:
1. Draw a Koch curve with length x/3.
2. Turn left 60 degrees.
3. Draw a Koch curve with length x/3.
4. Turn right 120 degrees.
5. Draw a Koch curve with length x/3.
6. Turn left 60 deg... | [
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"""Get relevant data from TMX/XML and save as tab-separated file. Meant to be run on TMX files and extracting
linguistic features for both French (src) and Dutch (tgt). It was used to extract linguistic features from a
pre-parsed XML/TMX corpus.
"""
from os import PathLike
from pathlib import Path
from typing import G... | [
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# -*- coding: utf-8 -*-
from setuptools import setup
# version info
NAME = "pypalette"
VERSION = "0.1.6"
DESC = "Extract prominent colors from images! Python wrapper for `https://github.com/dayvonjersen/vibrant`."
# requirements
install_requires = []
with open('requirements.txt', "r") as fp:
for line in fp:
... | [
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# Copyright (c) 2013 Barnstormer Softworks, Ltd.
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import json
import geni.rspec.pgmanifest as PGM
m = PGM.Manifest("v... | [
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2... | 2.504425 | 226 |
# Generated by Django 3.0.7 on 2021-01-18 13:40
from django.db import migrations, models
import django.db.models.deletion
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... | 2.818182 | 44 |
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 15 12:55:31 2016
@author: medialab
"""
import cv | [
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import mido
#from mido.ports import open_input
from mido import Message, MidiFile, MidiTrack
import numpy as np
import time
from src.LRUDict import LRUDict
# import sys
# sys.path.append('..')
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8... | 3.063492 | 63 |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2021 arijit <arijit@linux-inspiron-5567>
#
# Distributed under terms of the MIT license.
from selenium import webdriver
import time
import subprocess
repo_name = input("[+] Provide the github repository name :")
descript = input("[+] Prov... | [
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27... | 3.058971 | 797 |
from pynput.keyboard import Listener
keyboardListener()
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#!/usr/bin/env python
# coding=utf-8
import os
import tempfile
HTML_BODY = """\
<html>
<head>
<title>Qutescript: {prefix}</title>
</head>
<body>
<pre>{script_path}</pre>
{content}
</body>
"""
HTML_MESSAGE_TEMPLATE = """\
<pre>
{}
</pre>
"""
log_file_path = './qutescript.log'
def log_to_browser(*messages, prefix:... | [
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#!/usr/bin/env python3
import re
import sys
import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
if len(sys.argv) < 2:
usage()
input_file = sys.argv[1]
with beam.Pipeline(options=PipelineOptions()) as p:
(p | beam.io.ReadFromText(input_file)
| "Tokenize" >> beam.FlatMa... | [
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19... | 2.526316 | 190 |
import pandas as pd
from tkinter import *
import tkinter as tk
import numpy as np
from tkinter import messagebox
from tkinter import ttk
import datetime
from datetime import timedelta, date
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import re
import ast
def clear_da... | [
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304... | 2.471461 | 3,101 |
from __future__ import with_statement
import os
from setuptools import setup, find_packages
from django_type_of_works import __version__ as version#fix
install_requires = ["django >= 1.7, < 1.9",]
try:
setup(
name="django-type-of-works",
version=version,
author="Victor De la Luz",
... | [
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13... | 2.245399 | 652 |
"""
RiscEmu (c) 2021 Anton Lydike
SPDX-License-Identifier: MIT
"""
import re
from enum import IntEnum
from typing import List
from .Exceptions import ParseException
PSEUDO_OPS = [
'.asciiz',
'.double',
'.extern',
'.global',
'.align',
'.float',
'.kdata',
'.ktext',
'.space',
'.... | [
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1330,... | 1.929521 | 752 |
import re
from jenkins_tools.common import Jenkins
import logging
from lxml import etree
import xml.etree.ElementTree as ElementTree
logger = logging.getLogger()
# User pytest - https://docs.pytest.org/en/latest/
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... | 3.208955 | 67 |
import pytest
import torch
from pytorch_lightning.utilities.exceptions import MisconfigurationException
from energizer.inference.utils import (
AlphaDropout,
Dropout,
Dropout2d,
Dropout3d,
FeatureAlphaDropout,
local_seed,
patch_dropout_layers,
)
from tests.utils import NUM_FEATURES
def te... | [
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... | 2.385141 | 1,171 |
optimizer = dict(type='Adam', lr=1e-4, weight_decay=0, eps=1e-8, training_encoder_lr_multiply=1)
optimizer_config = dict(grad_clip=dict(
clip_norm_mode='all',
max_grad_l2_norm=0.25,
use_scale=True,
))
lr_config = dict(
use_warmup=True,
lr_steps=[14000, 19000],
lr_ratio=0.1,
warmup_factor=0.... | [
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... | 2.040816 | 196 |
# Tests
assert get_hbal_tree([1, 2, 3, 4, 5]).val == 3
assert get_hbal_tree([1, 2, 3, 4, 5, 6]).val == 4
| [
628,
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2,
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16,
11,
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11,
513,
11,
604,
11,
642,
11,
... | 2.117647 | 51 |
"""
Brainstem Acroname Hub
See documentation for brainstem here:
https://acroname.com/reference/python/index.html
"""
from rspy import log
if __name__ == '__main__':
import os, sys, getopt
try:
opts,args = getopt.getopt( sys.argv[1:], '',
longopts = [ 'help', 'recycle' ])
except geto... | [
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88,
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260... | 2.271808 | 2,671 |
# Generated by Django 3.1.4 on 2021-09-03 13:33
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import users.models
| [
2,
2980,
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416,
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513,
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16,
13,
19,
319,
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12,
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14208,
13,
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822,
13,
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13,
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2024,
... | 3.024691 | 81 |
from django.contrib import admin
from .models import SummaryTask
admin.site.register(SummaryTask)
# Register your models here.
| [
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201,
198,
2,
17296,
534,
4981,
994,
13,
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198
] | 3.292683 | 41 |
from functools import wraps
import inspect
def counter(fn):
"""Bu fonksiyon bir 'decorator' olup çıkışa "inner" adında bir 'closure' iletir. İçerdeki inner fonksiyonu,
kullanılacak asıl fonksiyonları modifiye eder. Burada modifiye olayı kullanılan fonksiyonun kaçıncı defa
çağırıldığını ekrana basma'dır. "... | [
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... | 2.163265 | 294 |
""" env util """
import errno
import functools
import os
import signal
from functools import wraps
from types import LambdaType
from typing import Any, Callable, Dict, Optional, Sequence, Type, Union
import gym
import numpy as np
import rospy
from stable_baselines3.common.monitor import Monitor
from stable_baselines3.... | [
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4... | 2.698588 | 2,266 |
# -*- coding: utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. 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/LICENS... | [
2,
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2,
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739,
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11,
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... | 2.815308 | 601 |
import unittest
from app.bot.downloader import *
| [
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] | 3.266667 | 15 |
from setuptools import setup, find_packages
from os import path
from io import open
here = path.abspath(path.dirname(__file__))
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="webhelpers2_grid",
version="0.9",
description=""" HTML Grid renderer ... | [
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3672,
7,
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834,
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198,
4480,
1280,
... | 2.543478 | 598 |
import torch
import pandas as pd
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from walker import load_a_HIN_from_pandas_neighbors, getNeighbors
from merge1.model_merge_1 import NSTrainSet, HIN2vec, train
# set method parameters
window = 5
walk = 10
walk_length ... | [
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6738,
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13,
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13,
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6060,
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201,
198,
201,
198,... | 2.100218 | 1,377 |
import re
import time
import os.path
import bencode
from django.db import models
from django.utils import timezone
from django.utils.functional import cached_property
from pyquery.pyquery import PyQuery
from bibliotik.settings import BIBLIOTIK_GET_TORRENT_URL
from home.models import TransTorrentBase
from what_transco... | [
11748,
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13,
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198,
6738,
42625,
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13,
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13,
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1... | 2.775665 | 263 |
import pytest
from pytest_cases import parametrize_with_cases
@pytest.mark.parametrize('dummy_amount', [1, 0, -1])
@parametrize_with_cases('dummy_amount', cases=".", prefix="case_amount")
| [
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67,
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3256,
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16,
11,
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11,
532... | 2.694444 | 72 |
# -*- coding: utf-8 -*-
import subprocess
from workflow import Workflow, PasswordNotFound
__author__ = 'zhouqi'
if __name__ == '__main__':
wf = Workflow()
wf.cache_data('scripts', get_all_scripts())
# wf.cache_data('brew_all_formulas', get_all_packages())
# wf.cache_data('brew_installed_formulas', ... | [
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834... | 2.606667 | 150 |
#
#
#
from __future__ import absolute_import, division, print_function, \
unicode_literals
from unittest import TestCase
from mock import patch, call
from ovh import APIError, ResourceNotFoundError, InvalidCredential
from octodns.provider.ovh import OvhProvider
from octodns.record import Record
from octodns.zon... | [
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198,
198,
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198,
198,
6738... | 3.316832 | 101 |
# capture a sequence of images with constant exposure
# import necessary packages
import os
import datetime
import time
import picamera
# calibrate camera
camera = picamera.PiCamera()
camera.resolution = (3280, 2464)
camera.meter_mode = 'spot'
camera.image_denoise = False
# sets constant exposure for the camera base... | [
2,
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2,
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378,
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198,
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8301,
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13,
3872... | 2.889171 | 1,182 |
"""
Longest common subsequence implementation starter
"""
from binary_search_tree.binary_search_tree import BinarySearchTree, Node
if __name__ == '__main__':
tree = BinarySearchTree()
nodes_to_add = [Node(8), Node(4), Node(2), Node(3), Node(10), Node(16),
Node(13), Node(12),Node(11)]
fo... | [
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834,
12417,
834... | 2.450413 | 242 |
print("Hello world")
import math
print(math.sqrt(81))
# List example
days_of_the_week = ["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"]
for i in days_of_the_week:
print(i)
| [
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7,
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2,
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62,
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62,
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796,
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2430,
23810,
2430,
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243... | 2.810811 | 74 |
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import networkx as nx
import random
from torch.autograd import Variable
from torch.nn.parameter import Parameter
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import cPic... | [
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87,
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13,
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6335... | 2.212179 | 1,560 |
"""
Exceptions raised by django-chunk-upload.
"""
class ChunkUploadError(Exception):
"""
Exception raised if errors in the request/process.
"""
| [
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37227,
198,
220,
220,
220,
35528,
4376,
611,
8563,
287,
262,
2581... | 3.098039 | 51 |
import transitfeed
schedule = transitfeed.Schedule()
schedule.AddAgency("Europe Agency", "http://iflyagency.com", "Europe/Madrid", "Europe_Agency")
service_period = schedule.GetDefaultServicePeriod()
service_period.SetStartDate("20070101")
service_period.SetEndDate("20190101")
service_period.SetWeekdayService(True)
... | [
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306,
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13,
785,
1600,
366,
16112,
14,
18454,
6058,
1600,
366... | 2.599398 | 5,312 |
import network
if __name__ == '__main__':
from machine import SPI
from Maix import GPIO
import socket, time
from fpioa_manager import fm
################ config ################
local_ip = "192.168.0.117"
local_netmask = "255.255.255.0"
local_gateway = "255.255.255.0"
local_dns_server = "8.8.8.8"
... | [
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220,
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220,
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17802,
11,
640,
198,
220,
422,
277,
79,
952,
64,
62,
37153,
13... | 2.615708 | 713 |
from .base import Base
import subprocess
| [
6738,
764,
8692,
1330,
7308,
198,
11748,
850,
14681,
628
] | 4.2 | 10 |
# Copyright 2020 Tensorforce Team. 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 la... | [
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11,
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13,
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198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
... | 4.063492 | 189 |
import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET
file_name=''
new_name=''
main()
| [
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2... | 2.346154 | 52 |
#!/usr/bin/env python
# encoding: utf-8
import os
import re
from setuptools import setup, find_packages
setup(
name='status',
version=version_read(),
description='HTTP status code reporting for GET and POST requests',
long_description=(docs_read('README.rst')),
url='https://github.com/chrissimpk... | [
2,
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628,
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7,
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220,
220,
220,
... | 2.665663 | 664 |
from unittest import skipUnless, TestCase
import os
from app_common.apptools.testing_utils import temp_bringup_ui_for
try:
from pybleau.app.api import FilterExpression, FilterExpressionManager
except ImportError:
pass
if os.environ.get("ETS_TOOLKIT", "qt4") == "null":
ui_available = False
else:
ui_ava... | [
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... | 2.818841 | 138 |
###########
# Translations between more friendly describtions of OGR-drivers and short codes.
# adresses: TRUI issue #2 https://bitbucket.org/KMS/trui/issue/2/ogr-driver-naming
# more or less taken directly from http://www.gdal.org/ogr/ogr_formats.html
# simlk, march 2013
##############
# FORMAT: Long name: (shor... | [
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1... | 2.105622 | 1,761 |
#! /usr/bin/env python3
import ctypes as ct
import os
from bcc import BPF
from bcc.table import BPF_MAP_TYPE_HASH_OF_MAPS
from bcc.libbcc import lib
lib.bpf_create_map_in_map.argtypes = [ct.c_int, ct.c_char_p, ct.c_int, ct.c_int, ct.c_int, ct.c_int]
# pin the inner map
setup = BPF(text="""
BPF_HASH(inner_map, u64, ... | [
2,
0,
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13,
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1330,
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37,
62,
33767,
62,
25216,
62,
... | 1.94843 | 446 |
# Python code to illustrate
# regression using data set
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets, linear_model
import pandas as pd
# Load CSV and columns
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
df = pd.read_csv("https://raw.github... | [
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1330,
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11,
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62,
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198,
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19798,
... | 2.758559 | 555 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from distributions import Categorical, Categorical2D
from utils import init, init_normc_
import math
import numpy as np
from densenet_pytorch.densenet import DenseNet
# from coord_conv_pytorch.coord_conv import nn.Conv2d, nn.Conv2dTranspose
#from nn.... | [
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import pytest
from lispyc import nodes
from lispyc.exceptions import SpecialFormSyntaxError
from lispyc.nodes import Branch, ComposedForm, Cond, Constant, Program, Variable
from lispyc.parser import parse
from .data import FORM_PROGRAMS, FORMS
VALID_1_BRANCH_PROGRAMS = [
"($name$ $value$ ((x 7 y) (a b)) $default... | [
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... | 2.36899 | 832 |
import json
from modules.const import Const
from modules.lib.agent_utils import run_on_bash
| [
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] | 3.72 | 25 |
import redis
from django.conf import settings
from .models import Product
# Connect to redis
conn = redis.Redis(host=settings.REDIS_HOST,
port=settings.REDIS_PORT,
db=settings.REDIS_DB) | [
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1... | 2.237624 | 101 |
import pandas as pd
import numpy as np
import ast
import pickle
| [
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# Defining a class called heapnode that has stores the symbol,frequency of the symbol, pointer to each of its children
# and a flag variable called "bits" which denotes if its the left child or the right child
# Function that creates our huffman tree by taking our priority queue as input and outputs the root node
# ... | [
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# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE file in the project root for
# full license information.
import pytest
import asyncio
import sample_content
from horton_logging import logger
# Amount of time to wait after updating desired properties.
wait_time_for_desired_... | [
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"""
Entrada de dados
"""
num_1 = int(input('Digite um número: '))
num_2 = int(input('Digite outro: '))
print(num_1 ** num_2) | [
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# Generated by Django 3.1.4 on 2020-12-05 11:59
from django.db import migrations, models
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] | 2.84375 | 32 |
from .aarch64_disasm_processor import AArch64DisassemblyProcessor
from .amd64_disasm_processor import AMD64DisassemblyProcessor
from typing import List
import angr
| [
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7343,... | 3.553191 | 47 |
from zeit.cms.content.util import objectify_soup_fromstring
import lxml.etree
import lxml.objectify
import zope.interface
import zope.location.location
import zope.proxy
import zope.schema
import zope.schema.interfaces
import zope.security._proxy
import zope.security.checker
import zope.security.proxy
DEFAULT_MARKER ... | [
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30... | 2.527489 | 673 |
from collections import defaultdict, Counter
from typing import List
from scorer.product_of_experts import Expert
from scorer.scorer import get_relations
| [
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] | 4.333333 | 36 |
# web_app/routes/home_routes.py
from flask import Blueprint, render_template
home_routes = Blueprint("home_routes", __name__)
@home_routes.route("/")
@home_routes.route("/hello")
@home_routes.route("/about")
| [
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27... | 2.27551 | 98 |
import numpy as np
from runner.action.set.variable import Variable
class Continuous(Variable):
"""Continuous variable
low <= variable < high
Args:
low (float): low boundary
high (float): high boundary
route (str): route to value (see Action)
"""
| [
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"""empty message
Revision ID: 64169b01290d
Revises: 53b58719e03b
Create Date: 2019-04-17 17:29:09.098849
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '64169b01290d'
down_revision = '53b58719e03b'
branch_labels = None
depends_on = None
| [
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# -*- coding:utf-8 -*-
from app.libs.redprint import Redprint
api = Redprint('user')
@api.route('/login', methods=['POST'])
| [
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#!/usr/bin/env python
__author__ = 'cmantas'
import sqlite3
import matplotlib.pyplot as plt
import argparse
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure, show
impor... | [
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import torch
def matrix_symmetry(matrix):
"""Checks the symmetry of the input matrix.
Parameters
----------
matrix: torch.FloatTensor
The matrix to check.
"""
if torch.eq(matrix, matrix.t()).all().item() == 0:
raise ValueError("The input matrix is not symmetrical.")
def pu_l... | [
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... | 2.772382 | 659 |
import datetime
import dateutil.parser
if __name__ == "__main__":
tests = (
"January 3, 2003", # a string
(5, "Oct", 55), # a tuple
"Thursday, November 18", # longer string without year
"7/24/04", ... | [
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from model.simulator import RunSingleTactic
from model.config_classes import SingleConfig
from plotting.paper_figs import CombinedModelPlot
# config_sing = SingleConfig(10, 10**(-3), 10**(-6), 1, 1, 0.5, 0.5)
config_sing = SingleConfig(10, None, None, 1, 1, 0.5, 0.5)
config_sing.load_saved = False
RR, RS, SR = (10**... | [
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#!/usr/bin/env python
# coding: utf-8
# # Self-Driving Car Engineer Nanodegree
#
#
# ## Project: **Finding Lane Lines on the Road**
# ***
# In this project, you will use the tools you learned about in the lesson to identify lane lines on the road. You can develop your pipeline on a series of individual images, and... | [
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#!/usr/bin/env python
"""
Convert from interval file to summary tree file. Default input file format is BED (0-based, half-open intervals).
usage: %prog <options> in_file out_file
-c, --chr-col: chromosome column, default=1
-s, --start-col: start column, default=2
-e, --end-col: end column, default=3
... | [
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... | 2.973282 | 262 |
import requests
import json
import pandas as pd
from configparser import ConfigParser
from .log import logger
from .exceptions import QualitubeException
config = ConfigParser()
config.read("config.ini")
API_KEY = config['credentials']['api_key']
class Videos:
"""
Wrapper Class to the YouTube Data API v3's `... | [
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import os
import pandas as pd, numpy as np
from astrobase.lcmath import find_lc_timegroups
from numpy import array as nparr
from astropy import units as u
from timmy.paths import DATADIR, RESULTSDIR
datestr = '20200624'
postpath = os.path.join(RESULTSDIR, 'radvel_fitting',
f'{datestr}_simple_p... | [
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#!/usr/bin/env python
from __future__ import division, unicode_literals
import os
import argparse
import math
import codecs
import torch
from itertools import count
import onmt.io
import onmt.translate
import onmt
import onmt.ModelConstructor
import onmt.modules
import opts
parser = argparse.ArgumentParser(
des... | [
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1... | 2.955801 | 181 |
import numpy as np
from utils.util import sign
from utils.metrics.np_v import metric
| [
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] | 3.107143 | 28 |
import sys, logging, os, random, math, open_color, arcade
#check to make sure we are running the right version of Python
version = (3,7)
assert sys.version_info >= version, "This script requires at least Python {0}.{1}".format(version[0],version[1])
#turn on logging, in case we have to leave ourselves debugging messa... | [
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from ..linalg import lu, svd, qr, eig
from numpy import random as _random, sqrt
from numpy.linalg import norm
from ..utils import _float, _svdCond, traceXTX, eig_flip, svd_flip
from ..random import uniform
# __all__ = ['randomizedSVD', 'randomizedEig']
def randomized_projection(X, k, solver = 'lu', max_iter = 4):
... | [
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#This code attempts to do a proof of principle calucation that our idea works in high dimensions
#To gain some intition as to what is going on, we will do things in two dimensions first so that we can plot everything
#Import standard python packages:
import numpy as np
import matplotlib.pyplot as plt
from scipy.integ... | [
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32... | 2.367681 | 6,473 |
from typing import List
from tortoise.contrib.pydantic import pydantic_model_creator
from api.database.schemas import Pokemon
# Base Pokemon Pydantic Model created from the Tortoise-ORM Model.
PokemonBase = pydantic_model_creator(Pokemon, name="PokemonIn", exclude_readonly=True)
# Outgoing Pokemon Pydantic Model cr... | [
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... | 3.02459 | 244 |
from Util import Analyzer, Plot, APlot
from QueueBase import Queue
from multiprocesser import Process
import random
import numpy
if __name__ == '__main__':
p = Process(8)
fin = p.Exec(main, [0.01 * i + 0.3 for i in range(170)])
# print(fin)
plt = APlot(fin)
plt.show()
# main(0.625)
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... | 2.4 | 130 |
# Copyright 2021 Seb Seager
# 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, softw... | [
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... | 3.622407 | 241 |
from rest_framework import routers
from .views import SourceModelViewset
app_name = "geosource"
router = routers.SimpleRouter()
router.register(r"", SourceModelViewset, basename="geosource")
urlpatterns = router.urls
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13... | 3.126761 | 71 |
from typing import Callable
import concurrent.futures as futures
import enum
import threading
import pyservices.generated.eventstore.service_pb2 as es
import pyservices.generated.eventstore.event_pb2 as esdata
import pyservices.generated.eventstore.service_pb2_grpc as esgrpc
import pyservices.generated.consumerstore.se... | [
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from django.contrib.messages.views import SuccessMessageMixin
from django.views.generic.edit import CreateView
from django.urls import reverse
from django.shortcuts import render
from django.utils.encoding import force_text
from django.utils.http import urlsafe_base64_decode
from .signupForm import SignupForm
from ...... | [
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42... | 3.576577 | 111 |
import matplotlib as mpl
font = {'family' : 'serif',
'size' : 16}
mpl.rc('font', **font)
import numpy as np
radii = np.fromfile('radii.dat', dtype=float, count=-1, sep='')
forces = np.fromfile('forces.dat', dtype=float, count=-1, sep='')
import matplotlib.pyplot as plt
plt.figure()
r = np.arange(min(radii)... | [
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1... | 2.128655 | 342 |
import random
import torch
from torchsegmentor.operator.base_operator import BaseOperator
from torchsegmentor.model.pspnet import make_pspnet
| [
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] | 3.512195 | 41 |
from abc import ABC
| [
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] | 3.5 | 6 |
from .exceptions import NotSignedInError
from .endpoint import Sites, Views, Users, Groups, Workbooks, Datasources, Projects, Auth, Schedules, ServerInfo
import requests
| [
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198... | 3.822222 | 45 |
# coding: utf-8
import numpy as np
import pandas as pd
import scipy.misc as spm
import os, sys
import posterior_predictive_inferences as ppi
import encode_decode as edcode
if __name__=='__main__':
ngram_path = sys.argv[1]
n = int(ngram_path.split('gram')[0][-1])
result_dir = os.path.split(ngram_path)[0]
hdf5... | [
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... | 2.430976 | 891 |
from import1b import *
print(var)
| [
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] | 2.833333 | 12 |
from django.urls import path
from .views.registroUserView import registroUserView
from .views.detalleUserView import detalleUserView
from .views.ListaInmueblesView import ListaInmueblesView
from .views.CrearInmuebleView import CrearInmuebleView
from .views.EliminarInmuebleView import EliminarInmuebleView
from .views.Li... | [
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"""
This code was generated by Codezu.
Changes to this file may cause incorrect behavior and will be lost if
the code is regenerated.
"""
from mozurestsdk.mozuclient import default as default_client
from mozurestsdk.mozuurl import MozuUrl;
from mozurestsdk.urllocation import UrlLocation
from mozure... | [
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