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import numpy as np
from ...utils import _import_pymatreader_funcs
def _todict_from_np_struct(data): # taken from pymatreader.utils
data_dict = {}
for cur_field_name in data.dtype.names:
try:
n_items = len(data[cur_field_name])
cur_list = []
for idx in np.arange(n_items):
cur_value = data[cur_field_name].item(idx)
cur_value = _check_for_scipy_mat_struct(cur_value)
cur_list.append(cur_value)
data_dict[cur_field_name] = cur_list
except TypeError:
cur_value = data[cur_field_name].item(0)
cur_value = _check_for_scipy_mat_struct(cur_value)
data_dict[cur_field_name] = cur_value
return data_dict
def _handle_scipy_ndarray(data): # taken from pymatreader.utils
try:
from scipy.io.matlab import MatlabFunction
except ImportError: # scipy < 1.8
from scipy.io.matlab.mio5 import MatlabFunction
if data.dtype == np.dtype('object') and not \
isinstance(data, MatlabFunction):
as_list = []
for element in data:
as_list.append(_check_for_scipy_mat_struct(element))
data = as_list
elif isinstance(data.dtype.names, tuple):
data = _todict_from_np_struct(data)
data = _check_for_scipy_mat_struct(data)
if isinstance(data, np.ndarray):
data = np.array(data)
return data
def _check_for_scipy_mat_struct(data): # taken from pymatreader.utils
"""Convert all scipy.io.matlab.mio5_params.mat_struct elements."""
try:
from scipy.io.matlab import MatlabOpaque
except ImportError: # scipy < 1.8
from scipy.io.matlab.mio5_params import MatlabOpaque
if isinstance(data, dict):
for key in data:
data[key] = _check_for_scipy_mat_struct(data[key])
if isinstance(data, MatlabOpaque):
try:
if data[0][2] == b'string':
return None
except IndexError:
pass
if isinstance(data, np.ndarray):
data = _handle_scipy_ndarray(data)
return data
def _readmat(fname, uint16_codec=None):
try:
read_mat = _import_pymatreader_funcs('EEGLAB I/O')
except RuntimeError: # pymatreader not installed
from scipy.io import loadmat
eeg = loadmat(fname, squeeze_me=True, mat_dtype=False)
return _check_for_scipy_mat_struct(eeg)
else:
return read_mat(fname, uint16_codec=uint16_codec)
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