content stringlengths 5 1.05M |
|---|
#-------------------changeable var below-------------------
originPath = '' #-----where is the file,will effect the output file's location
pat=''#-----where you store the data\minecraft\tags folder in version.jar
typeli=['blocks','items','entity_types','fluids','game_events']#------what tags type you want to... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.core.paginator import Paginator
from django.core.serializers.json import DjangoJSONEncoder
from django.db.models import Q
from django.http.response import HttpResponse, HttpResponseBadRequest
from django.views.generic import Vi... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
import sys
sys.path.append("..")
sys.path.append("../..")
import graph
def convert_graph(graph_filename, output_directory, arch):
print("Processing %s..." % graph_filename)
gr = graph.Graph.from_str(open(graph_filename, 'r').re... |
from structlog import get_logger
from good_spot.proxy.models import Proxy
from good_spot.taskapp.celery import app
log = get_logger()
@app.task
def run_periodic_reset_counter():
log.info('Ran reset counter of IP usage.')
Proxy.objects.update(count=0) |
from typing import Any, Iterable, List, Optional
from packaging.version import Version
from aiida import load_profile
from aiida.common.folders import SandboxFolder
from aiida.orm import load_node
from aiida.tools.importexport import Archive, import_data
from aiida_archive.interface import AiidaArchive
from .export... |
from __future__ import annotations
import os
from typing import Iterator, TypeVar, List, Type
from tools37.files import DictInterface, DirView
E = TypeVar('E', bound=DictInterface)
class JsonFilesManager(DirView):
def __init__(self, path: str, factory: Type[E]):
super().__init__(path, force_create=True... |
from bokeh.plotting import figure, show, output_notebook, output_file, save
from bokeh.tile_providers import get_provider, Vendors # CARTODBPOSITRON
# from bokeh.til
# from sklearn.datasets import fetch_california_housing
from bokeh.models import ColumnDataSource, HoverTool, ColorBar
import numpy as np
class Plots()... |
# flake8: noqa
from .loader import get_loader
from . import text_classification
|
"""empty message
Revision ID: 4df4248d2abe
Revises: 38395b979b79
Create Date: 2021-07-11 20:10:55.356770
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from sqlalchemy.dialects.postgresql import JSONB, ARRAY, TIMESTAMP
from sqlalchemy.ext.mutable import MutableDict, Muta... |
"""Library to contain 2d RFI flagging routines and other RFI related functions."""
import multiprocessing
import concurrent.futures
import numpy as np
import numba
from . import MAD_NORMAL
def _as_min_dtype(value):
"""Convert a non-negative integer into a numpy scalar of the narrowest type will hold it.
T... |
import csv
from glob import glob
from collections import defaultdict
class TableData:
def __init__(self):
self.datasetName = 'NACC'
self.imageDir = '/data_2/NACC_ALL/npy/'
self.content = defaultdict(dict) # dictionary of dictionary; {RID: {colname1: val1, colname2: val2, ...}}
self... |
# import matplotlib.pyplot as plt
from matplotlib import pyplot
from matplotlib.patches import Ellipse
import matplotlib.transforms
import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.manifold import TSNE
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import P... |
import numpy as np
def euclidean_distance(x, y):
return np.sqrt(np.sum(np.square(x - y))) |
from .pbt import *
|
from setuptools import setup
setup(
name = 'meerkat',
packages = ['meerkat'],
version = '0.3.3',
description = 'A program for reciprocal space reconstruction',
author = 'Arkadiy Simonov, Dmitry Logvinovich',
author_email = 'aglietto@gmail.com',
url = 'https://github.com/aglie/meerkat.git',
# download_url... |
n = int(input())
i = 1
two_pow = 0
while i<=n:
if i==n:
print("YES")
two_pow = 1
break
i*=2
if two_pow == 0:
print("NO") |
"""
class BinaryTreeNode(object):
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def insert_left(self, value):
self.left = BinaryTreeNode(value)
return self.left
def insert_right(self, value):
self.right = BinaryTreeNode(v... |
from flask_wtf import FlaskForm
from wtforms.fields import SubmitField,StringField
from wtforms import validators
class Quotes_search_form(FlaskForm):
legacy_quote_id = \
StringField(
'Quotes id',
validators=[validators.length(min=1,max=20)])
submit = SubmitField('Search quotes')
|
from pyopenproject.api_connection.exceptions.request_exception import RequestError
from pyopenproject.api_connection.requests.delete_request import DeleteRequest
from pyopenproject.business.exception.business_error import BusinessError
from pyopenproject.business.services.command.membership.membership_command import Me... |
# from pyblt import *
import random
import gc
import math
import sys
from collections import defaultdict, Counter
import numpy as np
import cProfile
import subprocess
class Search:
def __init__(self, entries, goal,addressing):
assert entries > 0
self.entries = entries
self.goal = goal
... |
from graphql.core.language.location import SourceLocation as L
from graphql.core.validation.rules import UniqueInputFieldNames
from utils import expect_passes_rule, expect_fails_rule
def duplicate_field(name, l1, l2):
return {
'message': UniqueInputFieldNames.duplicate_input_field_message(name),
'... |
import json
import requests
import logging
payment_logger = logging.getLogger(__name__)
class BalePayment:
def __init__(self, bot_token, logger=None):
self.bot_token = bot_token
self.logger = logger if logger else payment_logger
def send_invoice_with_payment_id(self, chat_id, title, descri... |
#!/usr/bin/env python3
import datetime
import re
import random
import time
import parse
from pytz import timezone
parser = parse.CommandParser
filename = "ips.txt"
MAC_ADDRESS_R = re.compile(
r"""
([0-9A-F]{1,2})[:-]?
([0-9A-F]{1,2})[:-]?
([0-9A-F]{1,2})[:-]?
([0-9A-F]{1,2})[:-]?
([0-9A-F]{... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-03-01 19:44
from __future__ import unicode_literals
from django.db import migrations
import multiselectfield.db.fields
class Migration(migrations.Migration):
dependencies = [
('local_groups', '0006_auto_20170301_1713'),
]
operations =... |
# -*- coding: utf-8 -*-
# %% Imports
import hashlib
# %% Dicts
OP_CODES = {172: "OP_CHECKSIG",
118: "OP_DUP",
169: "OP_HASH160",
136: "OP_EQUALVERIFY"}
# %% General functions
def tqdm_off(x):
return x
# %% Hashing functions
def hash_SHA256(by):
"""
Use hashlib ... |
import datetime
import requests
import json
import gzip
import os
API_URL = "https://vitaldb.net/api/"
access_token = None
def receive(vrcode, bedname=None, dtstart=None, dtend=None):
if isinstance(dtstart, datetime.datetime):
dtstart = dtstart.timestamp()
if isinstance(dtend, datetime.datetime):
... |
print('=' * 40, 'Informe 3 reta para verificar se forma um triângulo ' + '=' * 40)
r1 = float(input('Informe a 1° reta: '))
r2 = float(input('Informe a 2ª reta: '))
r3 = float(input('Informe a 3ª reta: '))
if r2 - r3 < r1 and r2 + r3 > r1 and r1 - r3 < r2 and r1 + r3 > r2 and r1 - r2 < r3 and r1 + r2 > r3:
print('... |
"""
MIT License
Copyright (c) 2018 AlessioNetti
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
to use, copy, modify, merge, publish, ... |
# Copyright (c) 2021, VRAI Labs and/or its affiliates. All rights reserved.
#
# This software is licensed under the Apache License, Version 2.0 (the
# "License") as published by the Apache Software Foundation.
#
# You may not use this file except in compliance with the License. You may
# obtain a copy of the License at... |
from django.shortcuts import render
from rest_framework.generics import GenericAPIView
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from apps.accounts.permissions import ProfileComplete
from .serializers import ResourceSerializer, DownloadLinkSerializer
from .m... |
# Image preprocessing Part - 1
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from PIL import Image
import cv2
# %matplotlib inline
import warnings
warnings.filterwarnings("ignore")
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.utils import get_fi... |
import argparse
import logging
import os
import subprocess
import warnings
from collections import OrderedDict
from pathlib import Path
import h5py
import numpy as np
import utils.log as log_utils
from third_party.davis import add_davis16_to_sys_path
add_davis16_to_sys_path()
from davis import cfg
from davis.dataset... |
from ..base import AST
CLASS = "declarations.property"
class ObjectValDef(AST):
def __init__(self, name, value):
super().__init__(CLASS, "object_val_def")
self.name = name
self.value = value
self.children = [name, value] |
from taichi.two_d import *
from taichi.misc.util import *
if __name__ == '__main__':
resolution = [96, 54]
simulator = FluidSimulator(simulator='liquid', simulation_width=resolution[0],
simulation_height=resolution[1],
delta_x=1.0 / min(resolution),... |
import os
script_dir = os.path.dirname(__file__)
content_dir = os.path.join(script_dir, "mock_content")
|
import PythonQt
from PythonQt import QtCore, QtGui
import director.visualization as vis
import director.vtkAll as vtk
class ViewEventFilter(object):
LEFT_DOUBLE_CLICK_EVENT = 'LEFT_DOUBLE_CLICK_EVENT'
def __init__(self, view):
self.view = view
self.eventFilter = None
self._leftMouseS... |
IRC_COLOURS = (
'ffffff', '000000', '00007f', '000093',
'ff0000', '7f0000', '9c009c', 'fc7f00',
'ffff00', '00fc00', '009393', '00ffff',
'0000fc', 'ff00ff', '7f7f7f', 'd2d2d2')
irc_cols = []
for i,col in enumerate(IRC_COLOURS):
irc_cols.append('.irc%d { color: #%s; }' % (i,col))
irc_cols.append('.ircbg%d { background... |
import os
from typing import AsyncIterator, overload
import flanautils
from flanaapis.exceptions import PlaceNotFoundError
from flanaapis.geolocation import google_maps, open_street_map
from flanaapis.geolocation.models import Place
TIMEZONE_API_KEY = os.environ['TIMEZONEDB_API_KEY']
TIMEZONE_BASE_ENDPOINT = 'https:... |
# -*- coding: utf-8 -*-
import argparse
import logging
import sys
import traceback
from .version import __version__
from .zap import process
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description='ZAP (the Zurich Atmosphere Purge) is a h... |
# Generated by Django 3.1.2 on 2021-02-09 14:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mvp', '0017_auto_20210209_1317'),
]
operations = [
migrations.RemoveField(
model_name='recycleditems',
name='collect... |
"""Add fee to design table
Revision ID: 0007
Revises: 0006
Create Date: 2019-05-30 09:58:01.563331
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '0007'
down_revision = '0006'
branch_labels = None
depends_on = None
def upgrade():
op.add_column('design', ... |
from django.test import TestCase
from dojo.tools.ccvs.parser import CCVSParser
from dojo.models import Test
class TestCCVSParser(TestCase):
def test_ccvs_parser_has_no_finding(self):
testfile = open("dojo/unittests/scans/ccvs/no_vuln.json")
parser = CCVSParser()
findings = parser.get_findi... |
import torch
import torch.nn.functional as F
from torch.nn import Module, ModuleList, Dropout
from torch import optim
from graphgallery.nn.models import TorchKerasModel
from graphgallery.nn.layers.th_layers import GraphConvolution
class GCN(TorchKerasModel):
def __init__(self, in_channels, out_channels,
... |
from django.shortcuts import render,redirect,HttpResponse,get_object_or_404
from .models import TODO
from django.contrib import messages
from .forms import todo_form
from django.contrib.auth.decorators import login_required
# Create your views here.
@login_required(login_url="user:login")
def dashboard(request):
... |
# -*- coding: utf-8 -*-
'''
Created on 2019年03月02日
@author: Zhukun Luo
Jiangxi university of finance and economics
'''
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
PATH = "/home/agnostic/Workspaces/MyEclipse CI/Spark-machine-learning/chapter04/data"
from pyspark import SparkContext
from pys... |
#from setuptools import setup
from distutils.core import setup
setup(
name = 'caterapp',
packages=['caterapp'],
version = '1.1', # Ideally should be same as your GitHub release tag varsion
description='A TCP based file sharing application',
author='Ravi Prakash',
author_email='ravi.cs20@iiitmk... |
import hashlib
import tempfile
from six.moves import StringIO
import gzip
import tarfile
from zipfile import ZipFile
from artemis.fileman.local_dir import get_artemis_data_path, make_dir, make_file_dir
from artemis.general.should_be_builtins import bad_value
import shutil
import os
from six.moves.urllib.request import ... |
import sys
import pytest
sys.path.append("../lib/")
import board as b
test_tiles = ([12,13], [11,37],[22,11], [13,24], [13,48], [25,24])
print("Input: {}".format(test_tiles))
myboard = b.Board(4,4)
myboard.setTiles(test_tiles)
|
from dataclasses import dataclass
from dataclasses_json import dataclass_json
|
# Copyright 2018 Twitter, Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
""" This module contains methods for validating the performance predictions of
the Caladrius Heron prophet traffic forecasting model."""
import os
import sys
import argparse
import logging
impo... |
#**********************************************************
#* CATEGORY SOFTWARE
#* GROUP ERPNEXT/FRAPPE
#* AUTHOR LANCE HAYNIE
#**********************************************************
#Copyright Haynie IPHC, LLC
#Developed by Haynie Research & Development, LLC
#Developed for Lance Haynie, LLC
#Licensed under the Ap... |
import logging
import tensorflow as tf
import os
import sys
from pathlib import Path
from tensorflow import keras
import matplotlib.pyplot as plt
# from segelectri.loss_metrics.loss import FocalLoss, LovaszLoss, DiceLoss, BoundaryLoss
# from segelectri.loss_metrics.metrics import MeanIou
from tvm import relay,autotvm
f... |
from __future__ import absolute_import
from collections import defaultdict
import numpy as np
import torch
from torch.utils.data.sampler import (
Sampler, SequentialSampler, RandomSampler, SubsetRandomSampler,
WeightedRandomSampler)
class RandomIdentitySampler(Sampler):
def __init__(self, ids, train_clas... |
"""
Classes to represent Bayesian networks.
"""
from toposort import toposort_flatten as flatten
from misc import dict_to_string
from scipy import rand, prod
class BayesNet(object):
"""
Object to hold and evaluate probabilities
for BayesNets described by cpts.
"""
def __init__(self, graph, cpt):... |
"""This modules creates a continuous MLP policy network.
A continuous MLP network can be used as policy method in different RL
algorithms. It accepts an observation of the environment and predicts a
continuous action.
"""
import tensorflow as tf
from garage.tf.models import MLPModel
from garage.tf.policies.policy imp... |
# Copyright 2022 Quantapix 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 applicable l... |
import datetime
from supra.Utils.Classes import Angle, Position, Trajectory, Supracenter
def strToBool(my_str):
return (my_str.lower() == 'true')
def tryFloat(statement):
try:
return float(statement)
except:
return None
def tryInt(statement):
try:
return int(statement)
... |
"""Unit tests for Object Calisthenics rule 2: Don't use the ELSE keyword."""
import astroid
from pylint.testutils import CheckerTestCase, Message
from checkers.no_else import NoElseChecker
class TestNoElseChecker(CheckerTestCase):
"""Unit tests for the no-else checker."""
CHECKER_CLASS = NoElseChecker
d... |
import logging
import json
from uuid import uuid4
from apistar import App, Route, schema, http, environment
from apistar.backends import SQLAlchemy
from sqlalchemy import String
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.ext.declarative.api import declarative_base
from sqlalchemy.sql.schema import... |
from scanner import *
def main():
s = Scanner("file1.py")
b = s.readtoken()
i = s.readtoken()
f = s.readtoken()
str1 = s.readtoken()
str2 = s.readtoken()
t = s.readtoken()
print("The type of",b,"is",type(b))
print("The type of",i,"is",type(i))
print("The type of",f,"is",type(f))... |
import requests
import property_reader as properties
# to get all the servers
def get_servers(authorization_header, ORG_ID, ENV_ID):
url = properties.get('runtime_manager_url') + '/servers'
headers_dict = {
"authorization": authorization_header,
"X-ANYPNT-ORG-ID": ORG_ID,
"X-ANYPNT-EN... |
#!/usr/bin/env python3
"""Python program to shuffle a deck of card."""
# importing modules
# import itertools
import random
# from pprint import pprint, pformat
import smtplib
from datetime import datetime
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import numpy as np
import fu... |
import os
import json
# { 'filename': '28503151_5b5b7ec140_b.jpg',
# 'regions': {
# '0': {
# 'region_attributes': {},
# 'shape_attributes': {
# 'all_points_x': [...],
# 'all_points_y': [...],
# 'name': 'polygon'}},
# ... more regions ...
# }... |
import math
from collections import OrderedDict
from typing import Dict, List
from typing import OrderedDict as OrderedDictType
from typing import TypeVar
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
def get_rarity_item(item: _T2, distribution: Dict[_T2, float]) -> float:
if item in distribution:
return distribut... |
"""
Created on Sat Nov 18 23:12:08 2017
@author: Utku Ozbulak - github.com/utkuozbulak
"""
import os
import cv2
import numpy as np
import torch
from torch.optim import SGD
from torchvision import models
from net_viz.misc import preprocess_image, recreate_image
class CNNLayerVisualization(object):
"""
P... |
from Manteia.Dataset import Dataset
ds=Dataset('Yahoo! Answers',test=True,desc=True)
print('Train : ')
print(ds.documents_train[:5])
print(ds.labels_train[:5])
print('Test : ')
print(ds.documents_test[:5])
print(ds.labels_test[:5])
print('Description :')
print(ds.description)
print('List labels :')
print(ds.list_l... |
import os
import sys
import copy
import re
import logging
from shutil import copyfile
"""
Managing Django Environment Variables
http://www.wellfireinteractive.com/blog/easier-12-factor-django/
"""
def get(key, default=None):
"""Retrieves env vars and makes Python boolean replacements"""
val = os.environ.get(... |
"""Creates a virtual environment for developing the library.
Also installs the needed dependencies.
"""
import platform
import subprocess
from pathlib import Path
from venv import EnvBuilder
venv_dir = Path(".") / ".venv"
if not platform.platform().startswith("Windows"):
venv_python = venv_dir / "bin" / "python"
... |
# Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Fa... |
import sys
import subprocess
from mpi4py import MPI
corespernode = int(sys.argv[1])
comm = MPI.COMM_WORLD
rank = MPI.COMM_WORLD.Get_rank()
num_procs = MPI.COMM_WORLD.size
if rank % corespernode == 0:
subprocess.call(["./tools/freemem"])
print "[Python-land] Rank %d: DRAM freed." % rank
subprocess.call(["n... |
from telegram.ext import Updater
import logging
from telegram.ext import CommandHandler,CallbackQueryHandler,InlineQueryHandler
from telegram.ext import MessageHandler, Filters
from telegram import InlineQueryResultArticle,InputTextMessageContent,InlineKeyboardMarkup
import gearman
import json
import re
import requests... |
class Solution:
def isEqualTree(self, T, S) :
if T is None and S is None :
return True
if T is None or S is None :
return False
if T.data != S.data :
return False
return self.isEqualTree(T.left, S.left) and self.isEq... |
from __future__ import print_function
import os
import re
import gzip
import itertools
import argparse
import subprocess
__author__ = 'Martin Aryee'
# python ~/work/projects/umi/umitag.py --read1_in bcl/Undetermined_S0_L001_R1_001.fastq.gz --read2_in bcl/Undetermined_S0_L001_R2_001.fastq.gz --read1_out umi1.fastq.gz ... |
#!/usr/bin/env python
#-*- coding: utf-8 -*-
import os
import sys
try:
from setuptools import setup
has_setuptools = True
except ImportError:
from distutils.core import setup
has_setuptools = False
from util import commands
if sys.platform == "darwin":
# Don't create resource files on OS X tar.
... |
from toolkit import *
if __name__ == '__main__':
ls = [113, 167, 2017]
for i in ls:
print(i, root(i), phi(i - 1), len(root(i)))
|
import torch
from torch import nn
import torch.nn.functional as F
class MLP(nn.Module):
""" Very simple multi-layer perceptron (also called FFN)"""
def __init__(self, input_dim, hidden_dim, output_dim, num_layers):
super().__init__()
self.num_layers = num_layers
h = [hidden_dim] * (nu... |
#!/usr/bin/env python
import numpy as np
import cv2
from edge_impulse_linux.runner import ImpulseRunner
import math
import psutil
class ImageImpulseRunner(ImpulseRunner):
def __init__(self, model_path: str):
super(ImageImpulseRunner, self).__init__(model_path)
self.closed = True
self.label... |
from PyQt5.QtWidgets import QLabel
from PyQt5.QtCore import Qt
import util
# noinspection PyUnresolvedReferences
class MusicPositionLabel(QLabel):
def __init__(self, parent=None):
super(MusicPositionLabel, self).__init__(parent)
self.setGeometry(10, 50, 63, 15)
self.setText("00:00")
... |
import json
from flask import make_response
class JiaError(Exception):
def __init__(self, code=500, message='Server error', data=None):
self.code = code
self.data = data
super(JiaError, self).__init__(message)
def to_response(self):
return make_response(json.dumps({'message': self.message,
... |
from .Parser import NumberNode, NOOPNode, NodeTypes
import random
def func_PEEK(visitor, *args):
if args == (): # Return random
return visitor.matrix.get(random.randint(0, 4), 0)
else: # Return specific
return visitor.matrix.get(args[0].value, 0)
def func_DROP(visitor, *args):
rows = visit... |
from vega import *
Int, Pointer, PointerOffset = Value('Int'), Value('Pointer'), Value('PointerOffset')
Any = Sort('Any', [Int, Pointer, PointerOffset])
def symvar(name):
return Variable(name, Any)
def Reg(name):
return symvar("Reg_{}".format(name))
def add(dst, src):
return Implies(
Not(Eq(dst,... |
# Lint as: python2, python3
# Copyright 2019 Google LLC
#
# 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 l... |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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 applicab... |
import logging
solver = logging.getLogger('solver')
solver.setLevel(logging.DEBUG)
solver.addHandler(
logging.StreamHandler()
)
|
# uncompyle6 version 2.9.10
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.0b2 (default, Oct 11 2016, 05:27:10)
# [GCC 6.2.0 20161005]
# Embedded file name: Tkconstants.py
NO = FALSE = OFF = 0
YES = TRUE = ON = 1
N = 'n'
S = 's'
W = 'w'
E = 'e'
NW = 'nw'
SW = 'sw'
NE = 'ne'
SE = 'se'
NS = 'ns'
EW = 'ew'
N... |
# Imitation-learners.
import torch
from torch.utils.tensorboard import SummaryWriter
import oatomobile.baselines.torch
import oatomobile
from oatomobile.envs import CARLAEnv
from absl import app
from absl import flags
from absl import logging
logging.set_verbosity(logging.DEBUG)
FLAGS = flags.FLAGS
flags.DEFINE_str... |
#!usr/bin/env python
from setuptools import find_packages, setup
setup(
name="clib",
version="0.1.9",
description="Neural Network module with chainer",
url="https://github.com/Swall0w/clib",
install_requires=['numpy', 'chainer', 'scikit-image'],
license=license,
packages=find_packages(excl... |
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 28 17:42:28 2020
@author: robson
"""
from bs4 import BeautifulSoup as bs
from selenium import webdriver
import pandas as pd
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.... |
import subprocess
import sys
from docutils.parsers.rst import Directive
def setup(app):
app.add_directive('yt_showfields', ShowFields)
setup.app = app
setup.config = app.config
setup.confdir = app.confdir
retdict = dict(
version='1.0',
parallel_read_safe=True,
parallel_... |
"""
Precomputes the filter for the onfly_boolean format
"""
from RecSearch import GetProgramLocation
import argparse
import ast
import pandas as pd
from RecSearch.DataInterfaces.Filters.onfly_boolean import IXFilterOnFly
def main(data: str, filter_file: str, output_file: str):
df = pd.read_csv(data, index_col=0)
... |
import copy
from collections import OrderedDict
import numpy as np
import torch
from torch import nn
from . import modules, utils
class _BaseModel(nn.Module):
"""
Adds some base functionality to models that inherit this class.
"""
def __init__(self):
super(_BaseModel, self).__setattr__('kwar... |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the LICENSE
# file in the root directory of this source tree.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_li... |
import boto3
import botocore
from botocore import UNSIGNED
from botocore.client import Config
import zipfile
import sys
import threading
BUCKET_NAME = 'carnd-dataset-hohne'
KEY = 'dataset_carnd_behavioral_cloning.zip'
class ProgressPercentage(object):
def __init__(self, filename):
self._filename = filena... |
import pytest
from pydantic import BaseModel, Field
from sitri.providers.contrib.yaml import YamlConfigProvider
from sitri.settings.contrib.yaml import YamlSettings
@pytest.fixture(scope="module")
def path_to_yaml() -> str:
return "tests/unit/settings/yaml/data.yaml"
@pytest.fixture(scope="module")
def yaml_co... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
import logging
import acoustid
import search.musicbrainz.musicbrainz_search as mb
from musicfile.musicfile import MusicFile
from utils.update_musicfile import update_musicfile
# TODO use .env
apikey = "xZI2oVLvE7"
class AccoustIdNoMatch(Exception):
def __init__(self, message=""):
self._message = messag... |
#!/usr/bin/env python3
from simtk.openmm.app import *
from simtk.openmm import *
from simtk.unit import *
from sys import stdout, exit, stderr
import getopt, os, time, random, math, traceback, io, sys, string
import parmed as pmd
import numpy as np
sys.setrecursionlimit(int(1e6))
usage = '\nUsage: create_cg_protein_m... |
import pytest
import logging
import struct
import base64
import msgpack
import nacl.signing
import algosdk
from . import txn_utils
from . import ui_interaction
from . import speculos
from algosdk.future import transaction
from Cryptodome.Hash import SHA256
OPERATION_UI_TEXT = ['NoOp', 'OptIn', 'CloseOut', 'ClearS... |
from django.shortcuts import render
from .models import Event
from .serializers import EventSerializer
from rest_framework import viewsets, permissions
from rest_framework.decorators import api_view, permission_classes
from rest_framework.response import Response
# Create your views here.
@api_view(["GET"])
@... |
MODEL_HANDLE_MAP = {
"efficientnetv2-s": "https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_s/feature_vector/2",
"efficientnetv2-m": "https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_m/feature_vector/2",
"efficientnetv2-l": "https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_l/fea... |
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