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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231
|
#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2014 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# 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, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
__author__ = "V.A. Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import numpy
import sys
import os
from PyMca5 import DataObject
SOURCE_TYPE = "EdfFileStack"
DEBUG = 0
class TextImageStack(DataObject.DataObject):
def __init__(self, filelist = None, imagestack=None, dtype=None):
DataObject.DataObject.__init__(self)
self.incrProgressBar=0
self.__keyList = []
if imagestack is None:
self.__imageStack = True
else:
self.__imageStack = imagestack
self.__dtype = dtype
if filelist is not None:
if type(filelist) != type([]):
filelist = [filelist]
if len(filelist) == 1:
self.loadIndexedStack(filelist)
else:
self.loadFileList(filelist)
def loadFileList(self, filelist, fileindex=0):
if type(filelist) == type(''):
filelist = [filelist]
self.__keyList = []
self.sourceName = filelist
self.__indexedStack = True
self.sourceType = SOURCE_TYPE
self.info = {}
self.__nFiles=len(filelist)
#read first file
arrRet = numpy.loadtxt(filelist[0])
if self.__dtype is None:
self.__dtype = arrRet.dtype
self.__nImagesPerFile = 1
#try to allocate the memory
shape = self.__nFiles, arrRet.shape[0], arrRet.shape[1]
samplingStep = 1
try:
self.data = numpy.zeros(shape, self.__dtype)
except (MemoryError, ValueError):
for i in range(3):
print("\7")
samplingStep = None
i = 2
while samplingStep is None:
print("**************************************************")
print(" Memory error!, attempting %dx%d sampling reduction ") % (i,i)
print("**************************************************")
s1, s2 = arrRet[::i, ::i].shape
try:
self.data = numpy.zeros((self.__nFiles, s1, s2),
self.__dtype)
samplingStep = i
except (MemoryError, ValueError):
i += 1
#fill the array
self.onBegin(self.__nFiles)
self.__imageStack = True
self.incrProgressBar=0
if samplingStep == 1:
for tempFileName in filelist:
self.data[self.incrProgressBar]=numpy.loadtxt(tempFileName,
dtype=self.__dtype)
self.incrProgressBar += 1
self.onProgress(self.incrProgressBar)
else:
for tempFileName in filelist:
pieceOfStack=numpy.loadtxt(tempFileName, dtype=self.__dtype)
self.data[self.incrProgressBar] = pieceOfStack[::samplingStep,
::samplingStep]
self.incrProgressBar += 1
self.onProgress(self.incrProgressBar)
self.onEnd()
if self.__imageStack:
self.info["McaIndex"] = 0
self.info["FileIndex"] = 1
else:
self.info["McaIndex"] = 2
self.info["FileIndex"] = 0
self.info["SourceType"] = SOURCE_TYPE
self.info["SourceName"] = self.sourceName
self.info["NumberOfFiles"] = self.__nFiles * 1
self.info["Size"] = self.__nFiles * self.__nImagesPerFile
def onBegin(self, n):
pass
def onProgress(self, n):
pass
def onEnd(self):
pass
def loadIndexedStack(self,filename,begin=None,end=None, skip = None, fileindex=0):
#if begin is None: begin = 0
if type(filename) == type([]):
filename = filename[0]
if not os.path.exists(filename):
raise IOError("File %s does not exists" % filename)
name = os.path.basename(filename)
n = len(name)
i = 1
numbers = ['0', '1', '2', '3', '4', '5',
'6', '7', '8','9']
while (i <= n):
c = name[n-i:n-i+1]
if c in ['0', '1', '2',
'3', '4', '5',
'6', '7', '8',
'9']:
break
i += 1
suffix = name[n-i+1:]
if len(name) == len(suffix):
#just one file, one should use standard widget
#and not this one.
self.loadFileList(filename, fileindex=fileindex)
else:
nchain = []
while (i<=n):
c = name[n-i:n-i+1]
if c not in ['0', '1', '2',
'3', '4', '5',
'6', '7', '8',
'9']:
break
else:
nchain.append(c)
i += 1
number = ""
nchain.reverse()
for c in nchain:
number += c
fformat = "%" + "0%dd" % len(number)
if (len(number) + len(suffix)) == len(name):
prefix = ""
else:
prefix = name[0:n-i+1]
prefix = os.path.join(os.path.dirname(filename),prefix)
if not os.path.exists(prefix + number + suffix):
print("Internal error in EDFStack")
print("file should exist: %s " % (prefix + number + suffix))
return
i = 0
if begin is None:
begin = 0
testname = prefix+fformat % begin+suffix
while not os.path.exists(prefix+fformat % begin+suffix):
begin += 1
testname = prefix+fformat % begin+suffix
if len(testname) > len(filename):break
i = begin
else:
i = begin
if not os.path.exists(prefix+fformat % i+suffix):
raise ValueError("Invalid start index file = %s" % \
(prefix+fformat % i+suffix))
f = prefix+fformat % i+suffix
filelist = []
while os.path.exists(f):
filelist.append(f)
i += 1
if end is not None:
if i > end:
break
f = prefix+fformat % i+suffix
self.loadFileList(filelist, fileindex=fileindex)
def getSourceInfo(self):
sourceInfo = {}
sourceInfo["SourceType"]=SOURCE_TYPE
if self.__keyList == []:
for i in range(1, self.__nFiles + 1):
for j in range(1, self.__nImages + 1):
self.__keyList.append("%d.%d" % (i,j))
sourceInfo["KeyList"]= self.__keyList
def getKeyInfo(self, key):
print("Not implemented")
return {}
def isIndexedStack(self):
return self.__indexedStack
def getZSelectionArray(self,z=0):
return (self.data[:,:,z]).astype(numpy.float)
def getXYSelectionArray(self,coord=(0,0)):
x,y=coord
return (self.data[y,x,:]).astype(numpy.float)
|