content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
# License: Apache License 2.0
from __future__ import unicode_literals
import unittest
from wikipedia2vec.utils.tokenizer.token import Token
from wikipedia2vec.utils.tokenizer.mecab_tokenizer import MeCabTokenizer
from nose.tools import *
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# coding: utf-8
from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
js_to_json,
merge_dicts,
)
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# Generated by Django 2.2.7 on 2020-02-12 08:58
from django.db import migrations
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#!/usr/bin/env python3
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#!/usr/bin/env Python
"""
Entry point from the TwitOff Flask web application
"""
# Local imports
from .app import create_app
APP = create_app()
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from typing import Dict
import click
import yaml
from .ddns_updater import ddns_updater
from .public_ip_getter import public_ip_getter
from .error_handler import error_handler
from ddns_manager import DDNSManager
@click.group()
def cli():
"""
DDNS Manager\n
Simple, powerful and extensible Dynamic DNS m... | [
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import json
import torch
from base.base_dataset import BaseADDataset
from networks.main import build_network, build_autoencoder
from optim.D3RE_uLSIF_trainer import D3REuLSIFTrainer
class D3REuLSIF(object):
"""A class for the Deep Density Ratio estimation.
Attributes:
eta: Deep SAD hyperparameter et... | [
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... | 2.282149 | 1,843 |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
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7054,... | 4.009174 | 218 |
fAnn = open("/home/mlc/TextMining/14.ann")
fTxt = open("/home/mlc/TextMining/14.txt")
annTxt = fAnn.read()
lawTxt = fTxt.read()
lawTxtWordList = lawTxt.replace("\n", " ").split(" ")
filteredLawTxtList = []
for word in lawTxtWordList:
if word == '':
filteredLawTxtList.append("###")
else:
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from django.db import transaction
from flexible.forms import *
from flexible.models_tests import *
from flexible.tests_utils import *
# from accounts.tests_utils import create_anon_request
# class FlexibleFormsTestCase(TestCase):
# def test_model_instance_form_new_instance_valid_input(self):
# request = ... | [
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# This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.10
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (3,0,0):
new_instancemethod = lambda func, inst, cls: _StepBas... | [
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LOOKUP_BUSINESS = {
"ABACUS": "ABCS",
"ABCS": "ABCS",
"ABOVE": "ABV",
"ABV": "ABV",
"ABRASIVE": "ABR",
"ABR": "ABR",
"ABRSV": "ABR",
"ABROAD": "ABRD",
"ABRD": "ABRD",
"ABSOLUTE": "ABSLT",
"ABSLT": "ABSLT",
"ABSTRACT": "ABSTRCT",
"ABSTRCT": "ABSTRCT",
"ACADEMIC": "... | [
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import importlib
import numpy as np
import pandas as pd
import pytest
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
import tensorflow as tf
from keras_batchflow.tf.batch_generators import BatchGenerator as BatchGeneratorTF
from keras_batchflow.base.batch_generators ... | [
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# Project: GBS Tool
# Author: Dr. Marc Mueller-Stoffels, marc@denamics.com, denamics GmbH
# Date: December 15, 2017
# License: MIT License (see LICENSE file of this package for more information)
# General imports
from bs4 import BeautifulSoup as Soup
class PvSystem:
"""
PvSystem class: stub
:var:
:m... | [
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from double3sdk.double_api import _DoubleAPI
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import urwid
from subprocess import run, PIPE
def remove_namespaces(namespaces_array):
"""
Execute 'kubectl repo remove' command on input values
namespaces_array is an array of strings as:
['namespace1', 'anothername', 'nalkinscloud', ...]
:param namespaces_array: array of strings
:return:... | [
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import os
# change to the root directory of this project for an example.
os.chdir(os.path.basename(os.getcwd()))
# Import the main python script.
import pihole_stat_rainbow_hat
# We're going to define library as the script.
# Initialize the main class PiholeStatRainbowHat()
library = pihole_stat_rainbow_hat.PiholeSt... | [
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"""
Custom layers
"""
import torch.nn as nn
from numpy import prod
import math
class pixelNorm(nn.Module):
"""
It does this in short
y = x/sqrt(mean(x**2) + ep)
"""
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from flask import Flask, render_template, request, session, redirect, url_for, flash, jsonify
import os
import urllib, json, sqlite3
from util.db_builder import execute
from util.user import User
from util.post import Post
from util.qaf import Qaf
from util.comment import Comment
from json import loads
import util.quo... | [
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input = """(5 * 7 * 5) * 6 * 5 + 7 + 6 * 4
(2 + 3 + (2 + 8) * 3 + (7 + 4)) * 3 + 7
2 + 4 * (2 + 2 * (9 + 2 + 6 + 3 + 6) + 4)
4 * 3
9 + (8 * 5 * 5 * 4 * (3 * 5) * 2) + 4 + 4
5 + 5 + 2 * 4 + 4
7 + 9 * 2 + 2 * 3
5 + 8 + 5 * (6 * 8 * (9 * 2 + 2 + 7 + 4 + 2) + 4 * 6) * 5
8 * 7 * 4 * 5 + 3
(9 * 9 + 9 * 7 * 4) + 9 + 5 * (5 + ... | [
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198... | 1.793723 | 10,738 |
"""
Faça um programa que leia uma frase pelo teclado e mostre:
- Quantas vezes aparece a letra 'A'.
- Em que posição ela aparece a primeira vez.
- Em que posição ela aparece pela última vez.
"""
frase_digitada = input('Digite uma frase: ')
print(f'A palavra "A" aparece: {frase_digitada.upper().count("... | [
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from pfam_maps.models import PfamMaps
from django.contrib import admin
admin.site.register(PfamMaps, PfamMapsAdmin)
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#! /usr/bin/python
import time
from datetime import datetime
import serial
from xbee import XBee, ZigBee
PORT = '/dev/ttyUSB0'
BAUD_RATE = 9600
# Open serial port and enable flow control
ser = serial.Serial(PORT, BAUD_RATE, bytesize=8, parity='N', stopbits=1, timeout=None, xonxoff=1, rtscts=1, dsrdtr=1)
# Create A... | [
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... | 2.111446 | 664 |
import heapq
G = {
"A": {"B":2, "C":5},
"B": {"A": 2, "D": 3, "E": 1, "F": 1},
"C": {"A": 5, "F": 3},
"D": {"B": 3},
"E": {"B": 4, "F": 3},
"F": {"C": 3, "E": 3},
}
G = Graph(G)
r"""
Layout of G2:
E -- 1 --> B -- 1 --> C -- 1 --> D -- 1 --> F
\ ... | [
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from .functions import PAM_Module, CrissCrossAttention, CrossAttention, ca_weight, ca_map | [
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#List of locations
Alley = Location("Alley")
ArcheryRange = Location("Archery Range")
Beach = Location("Beach")
Cemetary = Location("Cemetary")
Chapel = Location("Chapel")
Dock = Location("Dock")
Factory = Location("Factory")
FireStation = Location("Fire station")
Forest = Location("Forest")
Hospital = Location("Hospi... | [
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""" Example of lazy vs normal loading
Created by Chip Huyen (chiphuyen@cs.stanford.edu)
CS20: "TensorFlow for Deep Learning Research"
cs20.stanford.edu
Lecture 02
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
########################################
## NORMAL LOADING ##
## ... | [
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from app import db, api, jwt, reqparser
from app.respmsg import mk_response
from app.models.user import User
from app.middleware.auth import admin_required, not_expired
from flask import current_app
from flask_restful import Resource, abort, request
from flask_jwt_simple import jwt_required, get_jwt_identity
from funct... | [
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6... | 2.443491 | 2,097 |
import argparse
import sys
from socialfeeder import feeder, __VERSION__
from socialfeeder.utilities.constants import FEEDER_FACEBOOK
if __name__ == '__main__':
main() | [
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367... | 3.166667 | 54 |
"""
Otter Check command-line utility
"""
import os
from glob import glob
from jinja2 import Template
from .logs import LogEntry, EventType
from .notebook import _OTTER_LOG_FILENAME
from ..execute import grade_notebook, check
from ..utils import block_print
RESULT_TEMPLATE = Template("""{% if grade == 1.0 %}All tes... | [
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6030... | 2.738189 | 1,016 |
import cv2
import math
import numpy as np
import os
from opt import *
import pandas as pd
# Read images with OpenCV.
from ast import literal_eval
import mediapipe as mp
mp_hands = mp.solutions.hands
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
# help(mp_hands.Hands)
# Run M... | [
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6... | 2.122519 | 1,159 |
import sys
if sys.version_info >= (3, 8):
from typing import Optional, Literal, List, Any, Callable, Dict, Union
else:
from typing import Optional, List, Any, Callable, Dict, Union
from typing_extensions import Literal
import logging
from pyee import AsyncIOEventEmitter
from aiortc import RTCIceServer, Med... | [
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... | 3.943396 | 318 |
import numpy as np
from adabkb.optimizer import AdaBKB
from adabkb.kernels import GaussianKernel
from adabkb.options import OptimizerOptions
import time
import matplotlib.pyplot as plt
print("---------------------------------------------------------------------------------------")
init_time = time.time()
fun = lamb... | [
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from . import edges
from .node2vec import Node2Vec
__version__ = '0.4.3'
| [
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__author__ = "Dave Wapstra <dwapstra@cisco.com>"
from unicon.statemachine import State, Path, StateMachine
from unicon.eal.dialogs import Dialog, Statement
from unicon.plugins.generic.statements import GenericStatements
from ..statemachine import ConfdStateMachine
from .patterns import NfvisPatterns
patterns = Nfvi... | [
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... | 2.628713 | 202 |
# This module provides a basic and probably temporary WCS solution until astropy has a wcs built-in
import warnings
import numpy as np
from astropy.extern import six
from astropy.utils import misc
from astropy.modeling import Model, polynomial
from astropy.modeling.parameters import Parameter
from ..models.BSplineMod... | [
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# -*- coding: utf-8 -*-
{
'\n\nThank you!': '\n\nThank you!',
'\n\nWe will wait and let you know when your payment is confirmed.': '\n\nWe will wait and let you know when your payment is confirmed.',
'\n- %s from %s to %s': '\n- %s from %s to %s',
'\nAmount: R$%.2f': '\nAmount: R$%.2f',
"\nSomething happened and we cou... | [
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... | 2.693032 | 12,643 |
# Copyright (c) 2012-2022, Mark Peek <mark@peek.org>
# All rights reserved.
#
# See LICENSE file for full license.
def component_platforms(component_platform):
"""
Property: Component.Platform
"""
valid_component_platforms = ["Linux", "Windows"]
if component_platform not in valid_component_platfor... | [
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import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager
from flask_babel import Babel, gettext
####################################################
### Config
####################################################
db = SQLAlchemy()
... | [
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... | 4.764706 | 119 |
"""
Copyright MIT and Harvey Mudd College
MIT License
Summer 2020
Lab 4B - LIDAR Wall Following
"""
########################################################################################
# Imports
########################################################################################
import sys
import cv2 as cv
i... | [
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2... | 3.209172 | 894 |
import logging
import os
import requests
from spokestack.io.pyaudio import PyAudioOutput
from spokestack.profile.wakeword_asr import WakewordSpokestackASR
from spokestack.tts.clients.spokestack import TextToSpeechClient
from spokestack.tts.manager import TextToSpeechManager
from const import DEFAULT_MODEL_URL, FILE_N... | [
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4561... | 2.612717 | 346 |
from django.test import TestCase
from django.db import connection
from curious.graph import traverse
from curious_tests.models import Blog, Entry, Author
from curious_tests import assertQueryResultsEqual
| [
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41... | 4.25 | 48 |
import os
from dotenv import load_dotenv
from pathlib import Path
load_dotenv()
env_path = Path('.') / '.env'
load_dotenv(dotenv_path=env_path)
| [
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62... | 2.722222 | 54 |
from typing import List
import re
import io
from configVar import config_vars
from db import DBManager
from .baseClasses import *
from .subprocessBatchCommands import RunProcessBase
class SVNClient(RunProcessBase, kwargs_defaults={"url": None, "depth": "infinity", "repo_rev": -1, 'working_copy_path': None}):
""" ... | [
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from time import sleep
from fastapi import APIRouter, BackgroundTasks
router = APIRouter()
@router.get("")
| [
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] | 3.027027 | 37 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# PYTHON_ARGCOMPLETE_OK
##
# Copyright 2015 Telefonica Investigacion y Desarrollo, S.A.U.
# This file is part of openmano
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the L... | [
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3... | 2.408759 | 1,918 |
# coding: utf-8
from __future__ import division, print_function, unicode_literals
from formatcode.base.errors import FormatCodeError
| [
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] | 3.512821 | 39 |
# Copyright 2021 ABSA Group Limited
# 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 writ... | [
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... | 2.229947 | 1,870 |
from Pythonexercicios.ex111.UtilidadesCeV import moeda
from Pythonexercicios.ex112.UtilidadesCeV import dados
p = dados.leiadinheiro("Digite um valor R$ ")
moeda.resumo(p, taxa=int(input('Aumento: ')),
taxar=int(input('Redução: ')))
| [
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... | 2.156522 | 115 |
import argparse
from pathlib import Path
import torch
import torch.nn as nn
from PIL import Image
from torchvision import transforms
from torchvision.utils import save_image
import numpy as np
import math
import time
import net
from function import adaptive_instance_normalization, coral
# Example code:
# python Meta... | [
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... | 2.767561 | 1,566 |
bl_info = {
"name": "Sausage64 Character Export",
"description": "Exports a sausage-link character with animations.",
"author": "Buu342",
"version": (1, 0),
"blender": (2, 80, 0),
"location": "File > Export > Sausage64 Character (.S64)",
"warning": "",
"wiki_url": "https://github.com/buu... | [
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... | 2.726981 | 934 |
import uuid
import logging
import threading
from sleekxmpp import Message, Iq
from sleekxmpp.exceptions import XMPPError
from sleekxmpp.xmlstream.handler import Callback
from sleekxmpp.xmlstream.matcher import StanzaPath
from sleekxmpp.xmlstream import register_stanza_plugin
from sleekxmpp.plugins import BasePlugin
fr... | [
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1... | 3.191176 | 136 |
import unittest
try:
# When executed within PyCharm
import bibhelper.handler.bibtex_handler as bibtex_handler
except ImportError:
# When executed in the root directory as:
# pyton -m unittest tests.test_latex_handler
import handler.bibtex_handler
| [
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from LoadBalancer import LoadBalancer
__all__ = ['LoadBalancer']
| [
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from flask import Blueprint, render_template, redirect, url_for, jsonify, make_response
from flask_login import current_user, login_required
from src.models import Business, SignIn
from src.services import dump_db
from src import db
admin_view = Blueprint('admin_view', __name__, url_prefix="/")
@admin_view.route('/a... | [
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... | 3.079365 | 504 |
#!/usr/bin/python
#
# Generate C++ structs for the tables.
import argparse
import errno
import os
import psycopg2
import re
# Generate a argument parser
parser = argparse.ArgumentParser(description='Create C++ structs from a database table structure.')
parser.add_argument('-u', '--user', dest='user', required=True, h... | [
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1... | 2.507948 | 2,831 |
from app.model import Synonym, Tissue
# tissue = Tissue.query.first()
# print(tissue)
# blood = Tissue.query.filter_by(label='blood').first()
# print(blood)
# whole_blood = Synonym.query.filter_by(synonym='whole blood').all()
# print(whole_blood[0].tissue.label)
# userList = users.query\le
# .join(friendships, ... | [
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"""
Analysis tools for perses automated molecular design.
TODO
----
* Analyze all but last iteration to ensure we can analyze a running simulation?
"""
__author__ = 'John D. Chodera'
################################################################################
# IMPORTS
##########################################... | [
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257,
2491,
18640,
30,
198,
198,
37811,
198,
198,
834,
9800,
83... | 2.179849 | 10,570 |
"""Desenvolva um programa que leia o nome, idade e sexo de 4 pessoas. No final do programa, mostre: -A média de idade do grupo; -Qual é o nome do homem mais velho; -Quantas mulheres têm menos de 20 anos."""
idadetotal = 0
media = 0
maioridade = 0
nomehomem = ''
menoridade = 0
for i in range(1, 5):
nome = str(inpu... | [
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67,
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390,
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6... | 2.219955 | 441 |
import json
from hello_world._types import AWSLambdaContext, AWSLambdaEventType
def lambda_handler(event: AWSLambdaEventType, context: AWSLambdaContext) -> dict:
"""AWS Lambda function handler Python example
---
This is an example AWS Lambda function handler written in Python.
The default name is `l... | [
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2... | 2.830696 | 632 |
from setuptools import setup
setup(
name='API_Calc',
version='n/a',
packages=['dearpygui, fluids'],
url='https://github.com/jendakolda/API_Calc',
license='',
author='Jenda Kolda',
author_email='jenda@kolda.eu',
description='Utility for Pressure Safety Valve sizin according to API RP 520... | [
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64,
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220,
220,
220,
10392,
28,
17816,
67,
451,
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48317,
11,
... | 2.511628 | 129 |
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors.kde import KernelDensity
| [
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394,
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13,
74,
2934,
1330,
32169,
35,
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628
] | 3.769231 | 26 |
import numpy as np
import matplotlib.pyplot as plt
b = np.linspace(0, 1, 1000)
W_array = W_integral(b)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_aspect('equal', adjustable='box')
plt.xlim(0, 1)
plt.ylim(0, 1)
plt.grid()
r_equal = 0.768079256355335044369928555784925495604
x_ticks = [0, 0.2... | [
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11,
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8,
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201,
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201,
198,
54,
62,
18747,
796,... | 1.83844 | 359 |
import argparse
import boto
import sys
import random
import os
def get_filters(args):
""" Return a dict of filters based on the given arguments """
filters = {}
if args.tag:
for t in args.tag:
k, v = t.split('=') # TODO error checking
filters['tag:%s' % k] = v
if args... | [
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262,
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7159,... | 2.301961 | 510 |
from cobra.manipulation import modify
| [
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1330,
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] | 3.8 | 10 |
#!/usr/bin/env python
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ---------------------------------------------... | [
2,
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6808... | 3.591837 | 245 |
#-------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2013 EOX IT Services GmbH
#
# Permission... | [
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198,... | 2.988105 | 1,177 |
from ctypes import Structure, c_double, c_int
from . import timespec
| [
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] | 3.380952 | 21 |
import argparse
from typing import Tuple
from monorail_scraper.utils.scrape_util import scrape_issues
if __name__ == '__main__':
main()
| [
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628,
198,
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3672,
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6624,
705,
834,
12417,
8... | 2.92 | 50 |
import pyttsx3
engine = pyttsx3.init()
engine.say("No More! Blah Blah Blah!")
engine.runAndWait() | [
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13,
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] | 2.357143 | 42 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import pdb
# Luong attention layer
| [
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] | 3.297297 | 37 |
#-----------------------------------------------------------------------------
#Copyright (c) Peter Bingham (petersbingham@hotmail.co.uk)
#
#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 witho... | [
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... | 3.582305 | 486 |
from django.apps import AppConfig
| [
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] | 3.888889 | 9 |
from typing import Union, Dict, Sequence, Mapping
from marshmallow import fields, post_dump
from model.ientity import IEntitySchema
| [
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] | 3.75 | 36 |
import torch
from torch.distributions import Normal
from botorch.acquisition import analytic
from botorch.acquisition import acquisition
from botorch.utils.transforms import t_batch_mode_transform
| [
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13... | 3.846154 | 52 |
import unittest
from unittest.mock import patch
from pathlib import (
PurePosixPath,
PureWindowsPath
)
from dataladmetadatamodel.metadatapath import MetadataPath
if __name__ == '__main__':
unittest.main()
| [
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220,
220,
220,
17129,
11209,
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198,
8,
198,
198,
6738,
4818,
282,... | 2.630952 | 84 |
import matplotlib
matplotlib.use('Agg')
import os, sys
import yaml
from argparse import ArgumentParser
from tqdm import tqdm
import imageio
import numpy as np
from skimage.transform import resize
from skimage import img_as_ubyte
import torch
from sync_batchnorm import DataParallelWithCallback
# from modules.generato... | [
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... | 2.648289 | 1,052 |
from src.sandbox.layer import Layer
from src.sandbox.activation import Activation
import numpy as np
class BatchDense(Layer):
"""
NumPy-ified version of Dense. Takes batch inputs.
"""
| [
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7,
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372... | 3.061538 | 65 |
if __name__ == '__main__':
Generator().create_statements('many_to_many.yaml', 'schema.sql')
| [
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13,
88,
43695,
3256,
705,
15952,
2611,
13,
25410,
11537,
198
] | 2.552632 | 38 |
import json
import random
import sys
import io
import os
try:
to_unicode = unicode
except NameError:
to_unicode = str
import calc_metrics
PATH = os.getcwd()
os.chdir(PATH)
projects = [ "scribe-java", "jasmine-maven-plugin", "java-apns", "jopt-simple", "la4j", "metrics-core", "vraptor","assertj-core"]
covLevel... | [
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6530,
12331,
25,
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220,
220,
220,
284,
62,
46903,
1098,
... | 2.333901 | 587 |
from flask import Blueprint
core = Blueprint('core', __name__)
from . import app_version
from . import open_log
| [
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598,
62,
9641,
198,
6738,
764,
1330,
1280,
62,
6404,
198
] | 3.5625 | 32 |
import datetime
from decimal import Decimal
from django.test import TestCase
from ems.utils import get_active_entry, ActiveEntryError
from ems.utils.views import format_totals
from ems import utils
from . import factories
| [
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1... | 3.546875 | 64 |
''' a chainable computation Flow
'''
from abc import abstractmethod
from copy import deepcopy
from itertools import chain
from typing import List, Union
from nujo.autodiff.tensor import Tensor
class _FlowMeta(type):
''' Flow's metaclass used to setup the computation flow
'''
def __call__(cls, *args, **k... | [
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198,
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1436... | 2.342222 | 2,250 |
# 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
# distributed under th... | [
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2,
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743,
7330,
257,
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286,
262,
13789,
379,
198,
2,... | 3.858108 | 148 |
from typing import Any
import io
import pathlib
import re
if __name__ == "__main__":
passport_file_path = pathlib.Path(__file__).parent / "passports.txt"
with passport_file_path.open() as passports_file:
passports = process_passport_file(passports_file)
print(count_valid_passports(passports)... | [
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13,... | 2.846154 | 130 |
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 11 15:08:20 2019
Polynomial Regression with Elastic Net Regularization
@author: Dr. Dr. Danny E. P. Vanpoucke
@web : https://dannyvanpoucke.be
"""
import pandas as pd
from TModelClass import TModelClass
import numpy as np
from TModelResults import TModelResults
from Bo... | [
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31,
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25... | 2.11915 | 12,522 |
# encoding: utf-8
# Copyright 2011 Tree.io Limited
# This file is part of Treeio.
# License www.tree.io/license
#!/usr/bin/python
OBJECTS_NUM = 100
# setup environment
import sys, os
sys.path.append('../')
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
from django.core.management import setup_environ
from treeio... | [
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198,
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2,
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14,
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14,
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19... | 2.736486 | 296 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def exp_rampup(current, rampup_epochs):
"""Exponential rampup from https://arxiv.org/abs/1610.02242"""
if rampup_epochs == 0:
return 1.0
else:
current = np.clip(current, 0.0, rampup_epochs)... | [
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201,
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69... | 2.181347 | 193 |
dob={"Vedant":"17/07/2001", "Kunjan":"24/04/2004", "Banish":"16/01/2003", "Shivam":"18/09/2000"}
name= input("Enter name:")
l1= name.split()
for i in l1:
if i in dob.keys():
person=i
print(" ".join([person,"'s Date Of Birth is :",dob[person]]))
else:
print(str(i)+" : Sorry! No Data Fou... | [
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293... | 2.124183 | 153 |
from ruamel import yaml
import click
import json
import copy
import click_completion
import click_completion.core
from click_repl import repl
from prettytable import PrettyTable
# TODO - move providers to separate file
from calm.dsl.providers import get_provider, get_provider_types
from calm.dsl.api import get_api_cl... | [
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import argparse
import os
import json
import glob
import functools
import random
import collections
import math
import time
import scipy.ndimage as sn
import scipy.io... | [
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import open3d
import numpy as np
print("Testing mesh in open3d ...")
mesh =open3d.io.read_triangle_mesh("f16.ply")
print(mesh)
print('Vertices:')
print(np.asarray(mesh.vertices))
print('Triangles:')
print(np.asarray(mesh.triangles))
open3d.visualization.draw_geometries([mesh])
print("Painting the mesh")
mesh... | [
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# Copyright (c) 2019-2020, SPEAR3 authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import asyncio
import numpy as np
import pygmo as pg
# from numba import jit
from operator import itemgetter
# @jit
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#!/usr/bin/python
'''Module to wrap a fontforge type script so that it can be used either standalone
or as a macro within fontforge. Handles commandline attribute parsing.
The module pulls attribute strings from the calling module to help it.'''
__url__ = 'http://projects.palaso.org/projects/pysilfont'
__copyright__ = ... | [
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import json
import nodes
import copy
# Generate IP address OCID
ip_pool = []
# Open DSE Cluster deployment environment file
with open('clusterParameters.json') as inputFile:
clusterParameters = json.load(inputFile)
# Retrieve information for the deployment file for IP createion orchestration
locations = cluste... | [
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import os
import platform
if 'window' in platform.platform().lower():
pref = ''
else:
pref = './'
os.system('{0}mf2005 freyberg.truth.nam'.format(pref))
os.system('{0}mp6 <mpath.in'.format(pref))
os.system('python Process_output.py')
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"""init
Revision ID: d5702b5f65cc
Revises: 5c5924fd9221
Create Date: 2021-06-27 01:51:08.400079
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd5702b5f65cc'
down_revision = '5c5924fd9221'
branch_labels = None
depends_on = None
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# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | [
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# (C) Copyright 2005-2021 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at... | [
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#
# PySNMP MIB module CISCO-CAT6K-CROSSBAR-CAPABILITY (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-CAT6K-CROSSBAR-CAPABILITY
# Produced by pysmi-0.3.4 at Mon Apr 29 17:35:12 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Pytho... | [
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