201 lines
6.6 KiB
Python
201 lines
6.6 KiB
Python
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#!/usr/bin/env python3
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Copyright 2012 California Institute of Technology. ALL RIGHTS RESERVED.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# United States Government Sponsorship acknowledged. This software is subject to
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# U.S. export control laws and regulations and has been classified as 'EAR99 NLR'
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# (No [Export] License Required except when exporting to an embargoed country,
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# end user, or in support of a prohibited end use). By downloading this software,
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# the user agrees to comply with all applicable U.S. export laws and regulations.
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# The user has the responsibility to obtain export licenses, or other export
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# authority as may be required before exporting this software to any 'EAR99'
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# embargoed foreign country or citizen of those countries.
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#
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# Author: Giangi Sacco
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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#!/usr/bin/env python3
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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#
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# Author: Giangi Sacco
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# Copyright 2012, 2015 by the California Institute of Technology.
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# ALL RIGHTS RESERVED.
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# United States Government Sponsorship acknowledged. Any commercial use must be
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# negotiated with the Office of Technology Transfer at the
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# California Institute of Technology.
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from iscesys.Component.Component import Component
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from isceobj.Image.Image import TO_NUMPY
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import numpy as np
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import os
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#Parameters definitions
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DTYPE = Component.Parameter('_dtype',
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public_name = 'dtype',
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default = '',
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type = str,
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mandatory = True,
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doc = 'Data type')
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OUTPUT_FILE = Component.Parameter('_outputFile',
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public_name='outputFile',
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default = '',
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type = str,
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mandatory = True,
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doc = 'Output file.')
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FILE_LIST = Component.Parameter('_fileList',
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public_name = 'fileList',
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default = '',
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type = str,
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mandatory = True,
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doc = 'Ordered list of the files to stitch. The order must be from top ' + \
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'top left to bottom right')
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TILE_SIZE = Component.Parameter('_tileSize',
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public_name = 'tileSize',
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default = [],
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container=list,
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type=int,
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mandatory = True,
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doc = 'Two element list with the number of row and columns of the tile.')
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OVERLAP = Component.Parameter('_overlap',
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public_name = 'overlap',
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default = [1,1],
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container=list,
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type=int,
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mandatory = False,
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doc = 'Number of overlapping pixels between two tiles along the rows and columns.')
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ARRANGEMENT = Component.Parameter('_arrangement',
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public_name = 'arrangement',
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default = [],
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container=list,
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type=int,
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mandatory = True,
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doc = 'Two element list with the number of tiles along ' +\
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'the vertical and the horizontal directions.')
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FILLING_VALUE = Component.Parameter('_fillingValue',
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public_name = 'fillingValue',
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default = 0,
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type=float,
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mandatory = True,
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doc = 'Value used for missing tiles.')
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ENDIAN = Component.Parameter('_endian',
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public_name = 'endian',
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default = '>',
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type = str,
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mandatory = False,
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doc = 'Data endianness. > big endian, < small endian')
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DIRECTORY = Component.Parameter('_directory',
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public_name='directory',
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default = './',
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type = str,
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mandatory = False,
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doc = "Location where the files to be stitched are")
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class Stitcher(Component):
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family = 'stitcher'
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parameter_list = (DTYPE,
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OUTPUT_FILE,
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FILE_LIST,
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TILE_SIZE,
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OVERLAP,
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ARRANGEMENT,
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FILLING_VALUE,
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ENDIAN,
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DIRECTORY
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)
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@property
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def fillValue(self):
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return self._fillValue
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@fillValue.setter
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def fillValue(self,val):
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self._fillValue = val
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@property
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def dtype(self):
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return self._dtype
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@dtype.setter
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def dtype(self,val):
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self._dtype = val
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@property
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def outputFile(self):
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return self._outputFile
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@outputFile.setter
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def outputFile(self,val):
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self._outputFile = val
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@property
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def fileList(self):
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return self._fileList
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@fileList.setter
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def fileList(self,val):
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self._fileList = val
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@property
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def tileSize(self):
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return self._tileSize
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@tileSize.setter
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def tileSize(self,val):
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self._tileSize = val
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@property
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def overlap(self):
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return self._overlap
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@overlap.setter
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def overlap(self,val):
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self._overlap = val
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@property
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def arrangement(self):
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return self._arrangement
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@arrangement.setter
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def arrangement(self,val):
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self._arrangement = val
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@property
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def endian(self):
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return self._endian
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@endian.setter
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def endian(self,val):
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self._endian = val
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@property
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def directory(self):
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return self._directory
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@directory.setter
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def directory(self,val):
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self._directory = val
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def getDataType(self):
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ret = ''
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if self._dtype:
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ret = TO_NUMPY[self._dtype]
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return ret
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def stitch(self):
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dtype = self.getDataType()
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dr = self._tileSize[0] - self._overlap[0]
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dc = self._tileSize[0] - self._overlap[0]
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mmap = np.memmap(self._outputFile,dtype,'w+',
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shape=(self._arrangement[0]*dr,
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self._arrangement[1]*dc))
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pos = 0
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mmap[:] = self._fillingValue
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for i in range(self._arrangement[0]):
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for j in range(self._arrangement[1]):
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name = self._fileList[pos]
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#if the filename is _toSkipName the skip this data.
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#it will be filled with _fillingValue
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if not name == self._toSkipName:
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data = np.reshape(np.fromfile(os.path.join(self.directory,name),self._endian + dtype),self._tileSize)
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mmap[i*dr:(i+1)*dr,j*dc:(j+1)*dc] = data[:dr,:dc]
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pos += 1
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def __init__(self,family = '', name = ''):
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super(Component, self).__init__(family if family else self.__class__.family, name=name)
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self._toSkipName = 'toSkip'
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