source: issm/trunk-jpl/src/py3/exp/expread.py@ 19895

import os.path
import numpy
from collections import OrderedDict
import MatlabFuncs as m

def expread(filename):
        """
        EXPREAD - read a file exp and build a Structure

           This routine reads a file .exp and builds a list of dicts containing the 
           fields x and y corresponding to the coordinates, one for the filename of
           the exp file, for the density, for the nodes, and a field closed to 
           indicate if the domain is closed. 
           The first argument is the .exp file to be read and the second one (optional) 
           indicate if the last point shall be read (1 to read it, 0 not to).

           Usage:
              contours=expread(filename)

           Example:
              contours=expread('domainoutline.exp')
              contours=expread('domainoutline.exp')

           See also EXPDOC, EXPWRITEASVERTICES
        """

        #some checks
        if not os.path.exists(filename):
                raise OSError("expread error message: file '%s' not found!" % filename)

        #initialize number of profile
        contours=[]

        #open file
        fid=open(filename,'r')

        #loop over the number of profiles
        while True:

                #update number of profiles
                contour=OrderedDict()

                #Get file name
                A=fid.readline()
                while A=='\n':
                        A=fid.readline()
                if not A:
                        break
                A=A.split(None,1)
                if not (len(A) == 2 and m.strcmp(A[0],'##') and m.strncmp(A[1],'Name:',5)):
                        break
                if len(A[1])>5: 
                        contour['name']=A[1][5:-1]
                else:
                        contour['name']=''

                #Get Icon
                A=fid.readline().split(None,1)
                if not (len(A) == 2 and m.strcmp(A[0],'##') and m.strncmp(A[1],'Icon:',5)):
                        break

                #Get Info
                A=fid.readline().split()
                if not (len(A) == 4 and m.strcmp(A[0],'#') and m.strcmp(A[1],'Points')):
                        break

                #Get number of nodes and density
                A=fid.readline().split()
                contour['nods']=int(A[0])
                contour['density']=float(A[1])

                #Get Info
                A=fid.readline().split()
                if not (len(A) == 5 and m.strcmp(A[0],'#') and m.strcmp(A[1],'X') and m.strcmp(A[2],'pos') \
                                                         and m.strcmp(A[3],'Y') and m.strcmp(A[4],'pos')):
                        break

                #Get Coordinates
                contour['x']=numpy.empty(contour['nods'])
                contour['y']=numpy.empty(contour['nods'])
                for i in range(int(contour['nods'])):
                        A=fid.readline().split()
                        contour['x'][i]=float(A[0])
                        contour['y'][i]=float(A[1])

                #Check if closed
                if (contour['nods'] > 1) and \
                   (contour['x'][-1] == contour['x'][0]) and \
                   (contour['y'][-1] == contour['y'][0]):
                        contour['closed']=True
                else:
                        contour['closed']=False

                contours.append(contour)

        #close file
        fid.close()

        return contours