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#
# radarbeam.py
#
# module for calculating geometry parameters and magnetic aspect
# angle of radar targets monitored by any radar
#
# use aspect_elaz or aspect_txty to calculate aspect angles of targets
# specified by (el,az) or (tx,ty) angles
#
# Created by <NAME> on 11/29/08 as jrobeam.py
# Copyright (c) 2008 EC... |
#!/usr/bin/env python
"""Make big QUOCKA cubes"""
from IPython import embed
import schwimmbad
import sys
from glob import glob
from tqdm import tqdm
import matplotlib.pyplot as plt
from radio_beam import Beam, Beams
from radio_beam.utils import BeamError
from astropy import units as u
from astropy.io import fits
from ... |
# Copyright 2020 Curtin University
#
# 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 writi... |
import sys
import warnings
from copy import deepcopy
import itertools
import numpy as np
from scipy.stats import entropy, multivariate_normal
from sklearn.cluster import KMeans
from sklearn.mixture import GaussianMixture
from sklearn.mixture.gaussian_mixture import _compute_precision_cholesky,\
_check_precision_mat... |
from tensorflow.keras.layers import Input
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import MaxPooling2D
from tensorflow.keras.layers import AveragePooling2D
from tensorflow.keras.layers im... |
import torch
from torch.utils.data import Dataset
import glob
import tifffile as T
from libtiff import TIFF
import numpy as np
def range_normalize(v):
v = (v - v.mean(axis=(1, 2), keepdims=True)) / (v.std(axis=(1, 2), keepdims=True) + 1e-12)
v_min, v_max = v.min(axis=(1, 2), keepdims=True), v.max(axis=(1, 2),... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function, division
from io import open
import unicodedata
import string
import re
import random
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch import optim
import torch.nn.functional as F
use_cuda = torch.cuda.i... |
import gym
import itertools
import matplotlib
import numpy as np
import sys
import tensorflow as tf
import collections
from time import time
import os.path
from fourInARowWrapper import FourInARowWrapper
if "../" not in sys.path:
sys.path.append("../")
from lib import plotting
matplotlib.style.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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, V... |
import argparse
import os
from os import path
import time
import shutil
from random import sample
import pickle
import ast
from model.discriminator import Discriminator
from model.generator import Generator
from lib.utils.avgmeter import AverageMeter
from lib.dataloader import CelebADataset
def arg_as_list(s):
v ... |
import argparse
import gc
import glob
import logging
import math
import os
import sys
import time
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
import torch.nn.functional as F
import data
import model_search_rnn as model
from architect_rnn import Architect
from utils_rnn i... |
# -*- coding: utf-8 -*-
# Copyright (c) 2019, <EMAIL> and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
import json
import datetime
from frappe.model.document import Document
from frappe import _
from six.moves.urllib.parse import urlencode
from fra... |
#
# Copyright (c), 2018-2021, SISSA (International School for Advanced Studies).
# All rights reserved.
# This file is distributed under the terms of the MIT License.
# See the file 'LICENSE' in the root directory of the present
# distribution, or http://opensource.org/licenses/MIT.
#
# @author <NAME> <<EMAIL>>
#
"""
H... |
import time
import logging
from enum import Enum, unique
from copy import deepcopy
from collections import defaultdict
from termcolor import cprint, colored
from pybullet_planning import set_random_seed, set_numpy_seed, elapsed_time, get_random_seed
from pybullet_planning import wait_if_gui, wait_for_user, WorldSaver
... |
# coding=utf-8
# Author: <NAME>
# Date: Aug 06, 2019
#
# Description: Plots results of screened DM genes
#
# Instructions:
#
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 100)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
import matplotlib as mpl
from matplotl... |
import tkinter as tk
from tkinter import ttk
import json
import subprocess
from PIL import ImageTk, Image
import zipfile
import io
import os
import sys
PER_LINE = int(sys.argv[1])
LINES = int(sys.argv[2])
TMPFILE = sys.argv[5]
SHOWID = str(10214655)
class VerticalScrolledFrame(tk.Frame):
"""A pure Tkinter scrolla... |
import os
import torch
import segmentation_models_pytorch as smp
import pandas as pd
from abc import abstractmethod
from pathlib import Path
from catalyst.dl.callbacks import AccuracyCallback, EarlyStoppingCallback, \
CheckpointCallback, PrecisionRecallF1ScoreCallback
from catalyst.dl... |
import requests
import csv
import logging
from requests.auth import HTTPBasicAuth
import time
from primeapidata import PI_ADDRESS, USERNAME, PASSWORD
requests.packages.urllib3.disable_warnings()
'''
Call one of those from the main function or put one out of comments here, be carefull of the different filenames.
It sh... |
from typing import Optional, Tuple, Sequence, Type, Union, Dict
import numpy as np
from anndata import AnnData
import scipy.stats
from scipy import sparse
from scanpy import logging as logg
import graph_tool.all as gt
import pandas as pd
from .._utils import get_cell_loglikelihood, get_cell_back_p, state_from_blocks
... |
#!/usr/bin/env python3
# -*- encoding: utf8 -*-
"""
This is an python implementation of preprocessing of
the SEAME Mandarin-English code-switching corpus.
We follow original papers [1, 2] and the official
github repository [3] to make this code produces the
same amount of training and testing data.... |
"""Functions to read from and write to misc sources
"""
import os
import json
import pickle
import csv
import gzip
from io import StringIO
from py2store.stores.local_store import LocalBinaryStore
from py2store.slib.s_zipfile import FilesOfZip
from py2store.slib.s_configparser import ConfigReader, ConfigStore
from py2... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import sys
if sys.version_info >= (3, 0, 0):
from urllib.parse import urlparse
else:
from urlparse import urlparse
if sys.version_info >= (3, 5, 0):
def isclose(a, b, rel_tol=1e-09, abs_tol=0.0):
return abs(a - b) <= max(rel_tol * ma... |
import sublime
import sublime_plugin
import datetime
import re
import os
import fnmatch
import OrgExtended.orgparse.node as node
import OrgExtended.orgutil.util as util
import OrgExtended.orgutil.navigation as nav
import OrgExtended.orgutil.template as templateEngine
import logging
import sys
import traceback
import O... |
# -*- coding: utf-8 -*-
import sys, re, clean
reload(sys)
sys.setdefaultencoding('utf-8')
from collections import OrderedDict
##############################################################################
# Categorized letters and digraphs #
###################################... |
# -*- coding: utf-8 -*-
from random import choice, randint
from json import dumps, loads
from time import time, sleep, strftime, gmtime
import requests
URL = 'https://api.telegram.org/bot'
TOKEN = 'TOKEN_HERE'
offset = int(0)
logAPIError = True
def record(text, toConsole = False, end = '\n'):
file = open("data/bot.... |
#!/usr/bin/env python3.5
import time
e = time.time()
import sys
debug = False
fileWrite = True
if fileWrite:
fWPath = "processed/" + sys.argv[1] + "-processed.jpg"
displayProcessed = False
import cv2
import numpy as np
import pickle
if debug:
print ("imports: " + str(format(time.time() - e, '.5f')))
star... |
import json
import logging
import os
import time
from pprint import pformat
import requests
from flask import abort, make_response
from config import db, executor
from config.db_lib import db_session
from models import (
Activator,
ActivatorMetadata,
ActivatorMetadataVariable,
Applicati... |
from __future__ import division, print_function # confidence high
import astropy
from stsciutils.tools import parseinput, fileutil, convertwaiveredfits, readgeis
from astropy.io import fits
import os
import sys
from distutils.version import LooseVersion
PY3K = sys.version_info[0] > 2
if PY3K:
string_types = str
... |
import numpy as np
from matplotlib import pyplot as plt
import pickle as pkl
import starry
import celerite2.jax
from celerite2.jax import terms as jax_terms
from celerite2 import terms, GaussianProcess
from exoplanet.distributions import estimate_inverse_gamma_parameters
from matplotlib import colors
import matplotli... |
import numpy as np
import pandas as pd
from vimms.old_unused_experimental.PythonMzmine import get_base_scoring_df
from vimms.Roi import make_roi
QCB_MZML2CHEMS_DICT = {'min_ms1_intensity': 1.75E5,
'mz_tol': 2,
'mz_units': 'ppm',
'min_length': 1,
... |
# 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 ... |
# pylint: disable=C0111
#!/usr/bin/python
from kickstart_salt_imports import *
# Borrowed some code from
# https://github.com/facebook/IT-CPE/blob/master/chef/tools/chef_bootstrap.py
class GCEMetadataWrapper:
'''Wrapper class for retrieving Instance & Project Metadata'''
@staticmethod
def retur... |
"""
The `methods` script contains functions for estimating the period of a star.
"""
import lightkurve as lk
import astropy.units as u
import numpy as np
from scipy.signal import find_peaks
from scipy import interpolate
from scipy.optimize import curve_fit
from scipy.ndimage import gaussian_filter1d
import warnings
i... |
#!/usr/bin/python
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... |
import json
import os
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
import redis
from bs4 import BeautifulSoup
from stellargraph import StellarGraph
from dataprep.alexa_scrapper import ScrapeAlexa
from dataprep.scrape_all_alexa_information import main
from dataprep.load_annotated_data impo... |
"""Random select substitution; save substituted structure and JSON info"""
import warnings
warnings.simplefilter('ignore')
import errno
import functools
import glob
import math
import os
import random
import re
import signal
import sys
import numpy as np
import pandas as pd
import pymatgen
import shry
from ase import... |
from __future__ import print_function
from stompy.grid import unstructured_grid
import numpy as np
import logging
log=logging.getLogger(__name__)
from shapely import geometry
import xarray as xr
# TODO: migrate to xarray
from ...io import qnc
from ... import utils
# for now, only supports 2D/3D grid - no mix with 1D... |
import os
import time
import tkinter.messagebox
from tkinter import *
from tkinter import filedialog, scrolledtext
import pandas as pd
import psycopg2
"""
NEED TO CHANGE THE SIZING FOR THIS WINDOW BECAUSE
IT THE TEXT BOXES ARE TOO BIG BUT I CAN SHRINK THE
SECTIONS FOR THE TEXT.
"""
tb = "inv_testing3"
con_path = r"... |
"""Intervals are a generalization of several file formats:
GFF
====
All GFF formats (GFF2, GFF3 and GTF) are tabular files with 9 fields per line,
separated by tabs. They all share the same structure for the first 7 fields,
while differing in the definition of the eighth field and in the content and
format of the nin... |
#!/usr/bin/env python
# You may need to edit the above to point to your version of Python 2.0
"""
psize.py
Get dimensions and other interesting information from a PQR file
Originally written by <NAME>
Additional APBS-specific features added by <NAME>
Ported to Python/Psize class by <NAME> and subsequently hacked by
<N... |
"""
All interactions with KLEE
"""
import json
import operator
import re
import shutil
import subprocess
import tempfile
import signal
import time
import os
from collections import OrderedDict
from os import listdir, path, makedirs, killpg, getpgid, setsid
from .config import KLEEBIN
from .constants import ERRORFILE... |
from builtins import str
from builtins import zip
#!/usr/bin/env python
from nipype.interfaces.base import (
CommandLine,
CommandLineInputSpec,
TraitedSpec,
File,
Directory,
)
from nipype.interfaces.base import traits, isdefined, BaseInterface
from nipype.interfaces.utility import Merge, Split, Fu... |
# Copyright (C) 2021 The Xaya developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
Utilities for running Xaya X connected to an Ethereum node from Python,
e.g. for integration tests.
"""
from xayagametest import xaya
... |
from typing import Optional, Union
import numpy as np
from scipy.spatial import cKDTree
import bbknn
from scipy.sparse import csr_matrix
import scanpy as sc
from numpy.testing import assert_array_equal, assert_array_compare
import operator
import numpy as np
from anndata import AnnData
from sklearn.utils import che... |
# Copyright 2018 The Batfish Open Source Project
#
# 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... |
# -*- coding: utf-8 -*-
from quartical.config.external import Gain
from quartical.config.internal import yield_from
from loguru import logger # noqa
import numpy as np
import dask.array as da
from pathlib import Path
import shutil
from daskms.experimental.zarr import xds_to_zarr
from quartical.gains import TERM_TYPES
... |
#########################################################################
# Dicomifier - Copyright (C) Universite de Strasbourg
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import io
import warnings
from sklearn.model_selection import cross_validate
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.metrics import accuracy_score, precision_... |
import random
import numpy
import simpy
from file_manager import SharedFile
def new_inter_session_time():
"""
Ritorna un valore per l'istanza di "inter-session time"
"""
return numpy.random.lognormal(mean=7.971, sigma=1.308)
def new_session_duration():
"""
Ritorna un valore per l'istanza di ... |
#!/usr/bin/env python #
# #
# Autor: <NAME>, GSFC/CRESST/UMBC . #
# #
# T... |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
"quantify shape and depth diversity of FHIR data"
# conda create -n py39 python=3.9
# conda activate py39
# pip install rich, numpy
# python fhir.py
from dataclasses import dataclass
from itertools import chain
from typing import Dict, List, Optional, Tuple
import json
import os
from plotly.subplots import make_subpl... |
#!/usr/bin/env python3
#
# SPDX-License-Identifier: MIT
"""Generate the FSF license API JSON data from the FSF license list page."""
import argparse
import glob
import html
import io
import json
import os
import re
import urllib.parse
import urllib.request
import lxml.etree
SOURCE_URI = 'https://www.gnu.org/licens... |
#! /usr/bin/env python
# encoding: utf-8
# WARNING! Do not edit! https://waf.io/book/index.html#_obtaining_the_waf_file
from __future__ import with_statement
import atexit, os, sys, errno, inspect, re, datetime, platform, base64, signal, functools, time
try:
import cPickle
except ImportError:
import pickle as ... |
from aiogram import Bot, Dispatcher, executor, types
from aiogram.utils import exceptions
import mysql.connector
import time
import asyncio
import config
import logging
import datetime
import traceback
import re
from apscheduler.schedulers.asyncio import AsyncIOScheduler
# Init main classes
db = mysql.c... |
#!/usr/bin/python
#
# Copyright 2020 DeepMind Technologies 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 a... |
#!/usr/bin/python
''' Detects the start and end trimpoints of an audio file. '''
import sys
import numpy
import sklearn.cluster
import time
import scipy
import os
import ConfigParser
from pyAudioAnalysis import audioFeatureExtraction as aF
from pyAudioAnalysis import audioTrainTest as aT
from pyAudioAnalysis import aud... |
# ------------------------------------------------------------------------------
# BSD 2-Clause License
#
# Copyright (c) 2019, <NAME>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions... |
import curses
import os
import re
import time
from collections import namedtuple
from operator import itemgetter
from pg_view import flags
from pg_view.meta import __appname__, __version__, __license__
from pg_view.utils import enum
COLSTATUS = enum(cs_ok=0, cs_warning=1, cs_critical=2)
COLALIGN = enum(ca_none=0, c... |
import os
import sys
import importlib.util
import pdb
import time
import random
import re
from copy import deepcopy
import numpy as np
from functools import reduce
from collections import defaultdict
import arrow
import scipy
from scipy.cluster.vq import *
from scipy.cluster.hierarchy import linkage, dendrogram
import... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 3 12:20:34 2020
@author: Patrick
"""
#Make sure current working directory is the folder before DiscordBot
import os
cwd = os.getcwd()
import numpy as np
import duden
import discord
from dotenv import load_dotenv
import nest_asyncio
import asyncio
nest_asyn... |
"""
the module to parse format strings and construct format trees
この module はフォーマット文字列を構文解析しフォーマット木を作ります。
たとえば
::
N
P_0 P_1 \cdots P_{N-1}
Q_0 Q_1 \cdots Q_{N-1}
という入力フォーマット文字列が与えられれば
::
sequence([
item("N"),
newline(),
loop(counter="i", size="N",
item("P", indice... |
"""
Please find copyright information at the end of this document
Por favor encuentra la información de derechos de autor al final de este documento
Este fue el código más estable que encontré en línea, gracias a Jim Term por todo su trabajo.
Mi nombre es <NAME>. ¡Colaboremos juntos!
Redes Sociales / Social Network... |
import numpy as np
# Unit prefixes for val and lst
unitPrefixes = "kMGTPEZYyzafpnμm"
# Table chars
singleFrameChars = ['│', '─', '┼', '┌', '┐', '└', '┘', '├', '┬', '┤' ,'┴']
doubleFrameChars = ['║', '═', '╬', '╔', '╗', '╚', '╝', '╠', '╦', '╣', '╩']
tableChars = singleFrameChars
def sigval(val, err, fix_mul3=True, fi... |
# ElectrumSV - lightweight Bitcoin client
# Copyright (C) 2015 <NAME>
# Copyright (C) 2019-2020 The ElectrumSV Developers
#
# 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... |
#!/usr/bin/python
# (c) 2019, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... |
import logging
from kafka import KafkaProducer
import pandas as pd
from datetime import datetime as dt, timedelta as td
import json
import re
import os
import time
import requests
from sched import scheduler
from typing import List, Tuple
# Initialize log
log = logging.getLogger(__name__)
def extract_forecast(filepa... |
# Copyright (C) 2018 Google Inc.
#
# 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, ... |
'''
<NAME>, <NAME> and <NAME>
'''
from flask import Flask, render_template, url_for, request, redirect, abort, flash, jsonify, session, make_response
from flask_session import Session
from pprint import pprint as pp
from werkzeug.utils import secure_filename
from werkzeug.exceptions import HTTPException, default_excep... |
# -*- coding: utf-8 -*-
"""----------------------------------------------------------------------------
Author:
fengfan
<EMAIL>
Date:
2017/1/10
Description:
Sunshine RPC Module
History:
2017/1/10, create file.
----------------------------------------------------------------------------"""
import sys
import uuid
i... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: <NAME> (<EMAIL>)
# @Date: 2019-02-19
# @Filename: target.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
#
# @Last modified by: <NAME> (<EMAIL>)
# @Last modified time: 2019-09-25 15:20:31
import os
import pathlib
from copy import ... |
# Tutorial "Regresion Basica: Predecir eficiencia de gasolina"
# https://www.tensorflow.org/tutorials/keras/regression?hl=es-419
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import numpy as np # noqa: E402
# from scipy import stats # noqa: E402
import matplotlib.pyplot as plt # noqa: E402
import p... |
__author__ = 'Dante'
import os
import math
import machines
import density_weight as dw
from structures.isozyme import BrendaIsozyme as bi
from databases import db_queries as dbq
from structures import fingerprinter as fptr
import numpy as np
import routines
import pybel
CHEMPATH = os.path.join(os.path.di... |
from __future__ import print_function
from fenics import *
from mshr import *
import numpy as np
from scipy import integrate
set_log_level(LogLevel.INFO)
T = 500.0 # final time
num_steps = 1000 # number of time steps
dt = T / num_steps # time step size
mu = 16 # dynamic viscosity
rho = 1 ... |
import ast
from functools import wraps
from typing import Optional
from op_code import _ENV
from compiler.func_state import FuncState
class Context:
def __init__(self, fs: FuncState, r: Optional[int] = None, n: int = 0):
self.fs = fs
self.r = r
self.n = n
class ClassBody(Context):
de... |
# A device image plotter
import sys
import os
import json
import glob
import PyQt5.QtWidgets as qt
import PyQt5.QtGui as gui
import PyQt5.QtCore as core
from shutil import copyfile
import copy
from qcodes.instrument.channel import ChannelList
from qcodes.utils.helpers import foreground_qt_window
class MakeDeviceImag... |
# -*- encoding:utf-8 -*-
import torch.nn.functional as F
import torch.optim.lr_scheduler
import numpy as np
from uer.models.model import Model
from uer.model_builder import build_model
from uer.layers.layer_norm import LayerNorm
from uer.utils.act_fun import gelu
import torch.nn as nn
from torch.autograd import Variab... |
# MIT License
# Copyright (c) 2020 Dr. <NAME>
# 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, pub... |
"""Roughness helper functions"""
import os
import contextlib
from pathlib import Path
import numpy as np
import numpy.f2py
import xarray as xr
import jupytext
from . import config as cfg
from . import __version__
# Line of sight helpers
def lookup2xarray(lookups):
"""
Convert list of default lookups to xarray.... |
from __future__ import absolute_import
from logging import getLogger
logger = getLogger("gui_builder.fields")
import traceback
from .widgets import wx_widgets as widgets
try:
unicode
except NameError:
unicode = str
class UnboundField(object):
creation_counter = 0
_GUI_FIELD = Tr... |
# moosic.server.support.py - classes and functions that support moosicd
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, comm... |
"""
A simple Game using the kivy framework.
"""
import sys
import random
from kivy.config import Config
# Config.set('graphics', 'width', '1366')
# Config.set('graphics', 'fullscreen', 'auto')
# Config.set('graphics', 'window_state', 'maximized')
# Config.set('graphics', 'height', '768')
Config.set('kivy', 'window_ic... |
# -*- coding: utf-8 -*-
import argparse
import json
import logging
import os
import re
import sys
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import Element
from xml.etree.ElementTree import ElementTree
# From .js keyboard files, creats LDML for CLDR keyboards
# http://unicode.org/Public/cldr/37/... |
import time
from typing import List
from typing import Tuple
from starks.merkle_tree import blake
from starks.merkle_tree import verify_branch
from starks.merkle_tree import mk_branch
from starks.merkle_tree import merkelize
from starks.merkle_tree import merkelize_polynomial_evaluations
from starks.merkle_tree import ... |
# ------------------------------------------------------------------
# _________ ______________________________
# / _____/__.__. ______ \_____ \__ ___/\__ ___/
# \_____ < | |/ ___/ _____/ / \ \| | | |
# / \___ |\___ \ |Sys-QTT|/ \_/.... |
import pymbar
from fe import endpoint_correction
from collections import namedtuple
import pickle
import dataclasses
import time
import functools
import copy
import jax
import numpy as np
from md import minimizer
from typing import Tuple, List, Any
import os
from fe import standard_state
from fe.utils import sanitiz... |
#!/usr/bin/env python3
import random
def main():
"""Terminal上でポーカーを再現。ダブルアップはなし。
"""
poker = Poker()
# test()
"""
標準入出力を利用して、ゲームを行う
ループで回せばいい
終了の文字も指定する
ゲームの流れは、
スタート->dealされた札が5枚表示される->holdする札を選択する->
->再びdealする->役を判定->ゲームの結果処理->スタートに戻る
ユーザーができることは、
holdする札を選ぶ。結果表示後... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""Return residual from pyccd model using Google Earth Engine
Usage: GE_pyccd_residual.py [options]
--path=PATH path
--row=ROW row
--lon=LON longitude
--lat=LAT latitude
--date=DATE date to compare (%Y%j)
--count=COUNT ... |
#PARSER
import ply.yacc as yacc
import lexico
import nodo as grammer
import graficas as generar
tokens = lexico.tokens
precedence = (
('left', 'mas', 'menos'),
('left', 'por', 'div'),
('nonassoc','between', 'like'),
('left', 'menor', 'mayor', 'igual', 'menorigual', 'mayorigual', 'diferente'),
('ri... |
#!python
from collections import deque
class User(object):
def __init__(self, age, testscore):
self.age = age
self.testscore = testscore
def getAge(self):
return self.age
def getTestScore(self):
return self.testscore
class BinaryTreeNode(object):
def __init__(self,... |
#! /usr/bin/env python3
# A hacky script to convert a directory of images into an OCR'd DJVU file
import argparse
import logging
import os
import shutil
import multiprocessing
import concurrent.futures
import subprocess
import traceback
import sexpdata
import tempfile
import utils.djvu_utils as DJVU
import utils.t... |
import os
import time
import numpy as np
import pandas as pd
from oplrareg.solvers import get_solver_definition
from modSAR.dataset import QSARDatasetIO
from modSAR.graph import GraphUtils
from copy import deepcopy
from sklearn.externals.joblib import Parallel, delayed
from sklearn.metrics import mean_absolute_error,... |
"""Test sets translate the specifications of which tests to run (with which options),
into a set of ready to run tests. They are ephemeral, and are not tracked between
Pavilion runs."""
import threading
import time
from collections import defaultdict
from io import StringIO
from typing import List, Dict, TextIO, Union,... |
# Copyright 2022 DeepMind Technologies Limited. 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 ... |
# Copyright (c) 2016-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import enum
import json
import logging
import os
import re
import resource
import signal
import subprocess
import threading
from ab... |
import logging
from typing import List, Dict, Set, Union, cast, Type
import pandas as pd
from genomics_data_index.storage.SampleSet import SampleSet
from genomics_data_index.storage.model.NucleotideMutationTranslater import NucleotideMutationTranslater
from genomics_data_index.storage.model.QueryFeature import QueryF... |
import json
from django.core.urlresolvers import reverse
from django.shortcuts import render, get_object_or_404
from django.conf import settings
from django.contrib import messages
from django.core.exceptions import ValidationError
from django.http import HttpResponseRedirect, HttpResponse, Http404, JsonResponse
from d... |
import json
import os
import socket
import sys
import time
import subprocess
import re
import html
from collections import deque
from ipykernel.kernelbase import Kernel
from dyalog_kernel import __version__
from notebook.services.config import ConfigManager
if sys.platform.lower().startswith('win'):
from winreg... |
import numpy as np
import json
from importlib import reload
import os
from models.core.tf_models.cae_model import CAE
import pickle
import tensorflow as tf
import dill
from collections import deque
from models.core.tf_models import utils
from scipy.interpolate import CubicSpline
import time
from models.core... |
"""Failure theories for ductile materials - principal stress example
# -*- coding: utf-8 -*-
This module provides and example explaining the failure theorie for ductile materials
in a plane. The user can set the principal stresses and the yield stress for a material.
The class show a plot with the two envelopes and t... |
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