Source code for bluepyefe.igorpy
"""
Copyright (c) 2020, EPFL/Blue Brain Project
This file is part of BluePyEfe <https://github.com/BlueBrain/BluePyEfe>
This library is free software; you can redistribute it and/or modify it under
the terms of the GNU Lesser General Public License version 3.0 as published
by the Free Software Foundation.
This library is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
details.
You should have received a copy of the GNU Lesser General Public License
along with this library; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
"""
import re
import numpy as np
from igor2 import binarywave
from io import StringIO
def _bytes_to_str(bytes_):
"""concatenates an iterable of bytes to a str
Args:
bytes_(numpy.ndarray): array of bytes
Returns:
str of concatenated bytes with omitted `x00` bytes
"""
return "".join(bytes_[bytes_ != b""].astype(str))
[docs]
def read_wave_notes(wavenotes):
"""parse wavenotes to collect them into a dict
Args:
wavenotes(str): string of wavenotes
Returns:
dict of wavenotes
"""
wavenotes = dict(re.findall("(.+?):(.+?);", wavenotes))
return wavenotes
[docs]
def read_from_binary(content):
"""Reads Igor's (Wavemetric) binary wave format represented as
`content` string. Basically it applies `read_from_handle` to `content`
wrapped into a file handler.
Args:
content(str): string
Returns:
see `read_from_handle` output
"""
file_handle = StringIO(content)
return read_from_handle(file_handle)
[docs]
def read(filename):
"""Reads Igor's (Wavemetric) binary wave format from a file under
`filename` path.
Args:
filename(str):
Returns:
see `read_from_handle` output
"""
with open(filename, "rb") as f:
return read_from_handle(f)
[docs]
def read_from_handle(f):
"""Reads Igor's (Wavemetric) binary wave format, .ibw or .bwav, files.
Args:
f(file): file handle
Returns:
A tuple of (headerType instance, numpy vector) where `headerType
instance` contains a meta info about the wave and `numpy vector`
contains wave data. `numpy vector` is writeable.
"""
data = binarywave.load(f)
version = data["version"]
assert version in (2, 3, 5), (
"Fileversion is '" + str(version) + "', not supported"
)
content = data["wave"]
wdata = np.copy(content["wData"])
header = IgorHeader(version, content)
return header, wdata