/usr/lib/python2.7/dist-packages/neo/io/winedrio.py is in python-neo 0.3.3-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 | # -*- coding: utf-8 -*-
"""
Classe for reading data from WinEdr, a software tool written by
John Dempster.
WinEdr is free:
http://spider.science.strath.ac.uk/sipbs/software.htm
Depend on:
Supported : Read
Author: sgarcia
"""
import os
import struct
import sys
import numpy as np
import quantities as pq
from neo.io.baseio import BaseIO
from neo.core import Segment, AnalogSignal
from neo.io.tools import create_many_to_one_relationship
PY3K = (sys.version_info[0] == 3)
class WinEdrIO(BaseIO):
"""
Class for reading data from WinEDR.
Usage:
>>> from neo import io
>>> r = io.WinEdrIO(filename='File_WinEDR_1.EDR')
>>> seg = r.read_segment(lazy=False, cascade=True,)
>>> print seg.analogsignals
[<AnalogSignal(array([ 89.21203613, 88.83666992, 87.21008301, ..., 64.56298828,
67.94128418, 68.44177246], dtype=float32) * pA, [0.0 s, 101.5808 s], sampling rate: 10000.0 Hz)>]
"""
is_readable = True
is_writable = False
supported_objects = [ Segment , AnalogSignal ]
readable_objects = [Segment]
writeable_objects = []
has_header = False
is_streameable = False
read_params = { Segment : [ ], }
write_params = None
name = 'WinEDR'
extensions = [ 'EDR' ]
mode = 'file'
def __init__(self , filename = None) :
"""
This class read a WinEDR file.
Arguments:
filename : the filename
"""
BaseIO.__init__(self)
self.filename = filename
def read_segment(self , lazy = False, cascade = True):
seg = Segment(
file_origin = os.path.basename(self.filename),
)
if not cascade:
return seg
fid = open(self.filename , 'rb')
headertext = fid.read(2048)
if PY3K:
headertext = headertext.decode('ascii')
header = {}
for line in headertext.split('\r\n'):
if '=' not in line : continue
#print '#' , line , '#'
key,val = line.split('=')
if key in ['NC', 'NR','NBH','NBA','NBD','ADCMAX','NP','NZ','ADCMAX' ] :
val = int(val)
elif key in ['AD', 'DT', ] :
val = val.replace(',','.')
val = float(val)
header[key] = val
if not lazy:
data = np.memmap(self.filename , np.dtype('i2') , 'r',
#shape = (header['NC'], header['NP']) ,
shape = (header['NP']/header['NC'],header['NC'], ) ,
offset = header['NBH'])
for c in range(header['NC']):
YCF = float(header['YCF%d'%c].replace(',','.'))
YAG = float(header['YAG%d'%c].replace(',','.'))
YZ = float(header['YZ%d'%c].replace(',','.'))
ADCMAX = header['ADCMAX']
AD = header['AD']
DT = header['DT']
if 'TU' in header:
if header['TU'] == 'ms':
DT *= .001
unit = header['YU%d'%c]
try :
unit = pq.Quantity(1., unit)
except:
unit = pq.Quantity(1., '')
if lazy:
signal = [ ] * unit
else:
signal = (data[:,header['YO%d'%c]].astype('f4')-YZ) *AD/( YCF*YAG*(ADCMAX+1)) * unit
ana = AnalogSignal(signal,
sampling_rate=pq.Hz / DT,
t_start=0. * pq.s,
name=header['YN%d' % c],
channel_index=c)
if lazy:
ana.lazy_shape = header['NP']/header['NC']
seg.analogsignals.append(ana)
create_many_to_one_relationship(seg)
return seg
AnalysisDescription = [
('RecordStatus','8s'),
('RecordType','4s'),
('GroupNumber','f'),
('TimeRecorded','f'),
('SamplingInterval','f'),
('VMax','8f'),
]
class HeaderReader():
def __init__(self,fid ,description ):
self.fid = fid
self.description = description
def read_f(self, offset =0):
self.fid.seek(offset)
d = { }
for key, fmt in self.description :
val = struct.unpack(fmt , self.fid.read(struct.calcsize(fmt)))
if len(val) == 1:
val = val[0]
else :
val = list(val)
d[key] = val
return d
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