Python FileParser.set_file方法代码示例

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def execute(self):

        super(Comp_Plate, self).execute()

        parser = FileParser()
        parser.set_file(self.nastran_filename)

        self.comp_elm_dict = {}
        parser.reset_anchor()
        for cquad4 in range(1,26):
            parser.mark_anchor("CQUAD4")
            elmtype = parser.transfer_var(0, 1)
            elmid = parser.transfer_var(0, 2)
            pid = parser.transfer_var(0, 3)

            if pid not in self.comp_elm_dict:
                self.comp_elm_dict[ pid ] = []

            self.comp_elm_dict[pid].append( elmid )

        max_minor_strain_by_pid, max_major_strain_by_pid = self.calculate_max_strains()

        self.property1_max_major_strain = max_major_strain_by_pid[ 801 ]
        self.property2_max_major_strain = max_major_strain_by_pid[ 802 ]
        self.property3_max_major_strain = max_major_strain_by_pid[ 803 ]

        self.property1_max_minor_strain = max_minor_strain_by_pid[ 801 ]
        self.property2_max_minor_strain = max_minor_strain_by_pid[ 802 ]
        self.property3_max_minor_strain = max_minor_strain_by_pid[ 803 ]

        # Calculate the maximum strain (max(major,minor)) for each property 
        self.property1_max_major_minor_strain = max( self.property1_max_major_strain, self.property1_max_minor_strain )
        self.property2_max_major_minor_strain = max( self.property2_max_major_strain, self.property2_max_minor_strain )
        self.property3_max_major_minor_strain = max( self.property3_max_major_strain, self.property3_max_minor_strain )

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_output_parse_keyvar(self):

        data = "Anchor\n" + \
               " Key1 1 2 3.7 Test 1e65\n" + \
               " Key1 3 4 3.2 ibg 0.0003\n" + \
               " Key1 5 6 6.7 Tst xxx\n"

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        gen = FileParser()
        gen.set_file(self.filename)
        gen.set_delimiters(' ')

        gen.mark_anchor('Anchor')
        val = gen.transfer_keyvar('Key1', 3)
        self.assertEqual(val, 3.7)
        val = gen.transfer_keyvar('Key1', 4, -2)
        self.assertEqual(val, 'ibg')
        val = gen.transfer_keyvar('Key1', 4, -2, -1)
        self.assertEqual(val, 'Test')

        try:
            gen.transfer_keyvar('Key1', 4, 0)
        except ValueError, err:
            msg = "The value for occurrence must be a nonzero integer"
            self.assertEqual(str(err), msg)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def parse_output(self,FabriOrSub):
        """Parses the DREA output file and extracts data."""
        
        infile = FileParser()
        infile.set_file('ejectd.out')
        infile.mark_anchor('EJECTOR SOLUTION')

        if FabriOrSub == 'Fabri':
            self.GrossThrust = infile.transfer_keyvar("SUPERSONIC GROSS THRUST (OVERALL)=", 1)
            self.ExitMassFlow = infile.transfer_keyvar("SUPERSONIC EXIT MASS FLOW RATE=", 1)
            self.ExitVelocity = infile.transfer_keyvar("SUP VELOCITY=", 1)
            self.ExitMach = infile.transfer_keyvar("SUPERSONIC MACH=", 1)
            self.ExitStaticTemp = infile.transfer_keyvar("SUP TEMPERATURE=", 1)
            self.ExitTotalTemp = infile.transfer_keyvar("SUPERSONIC TOTAL TEMPERATURE=", 1)
            self.CFG = infile.transfer_keyvar("SUPERSONIC CFG=", 1)
        if FabriOrSub == 'Subsonic':
            self.GrossThrust = infile.transfer_keyvar("SUBSONIC GROSS THRUST (OVERALL)=", 1)
            self.ExitMassFlow = infile.transfer_keyvar("SUBSONIC EXIT MASS FLOW RATE=", 1)
            self.ExitVelocity = infile.transfer_keyvar("SUB VELOCITY=", 1)
            self.ExitMach = infile.transfer_keyvar("SUBSONIC MACH=", 1)
            self.ExitStaticTemp = infile.transfer_keyvar("SUB TEMPERATURE=", 1)
            self.ExitTotalTemp = infile.transfer_keyvar("SUBSONIC TOTAL TEMPERATURE=", 1)
            self.CFG = infile.transfer_keyvar("SUBSONIC CFG=", 1)
            
        self.flow_out.pri.Vel = infile.transfer_keyvar("U1D=",1)
        self.flow_out.sec.Vel = infile.transfer_keyvar("U2D=",1)
        self.flow_out.pri.W = infile.transfer_keyvar("RMD1D=",1)*2*32.17405 #Doubled since half of the area is used
        self.flow_out.sec.W = infile.transfer_keyvar("RMD2D=",1)*2*32.17405 #Doubled since half of the area is used
        self.PumpingRatio = infile.transfer_keyvar("PUMPING RATIO W2/W1=",1)
        self.flow_out.sec.Mach = infile.transfer_keyvar("RM2=", 1)
        self.DegreeOfMixing = infile.transfer_keyvar("DEGREE OF MIXING IN PRESSURE CONSTRAINT",0,rowoffset=1)
        self.NPR = infile.transfer_keyvar("NPR=",1)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
 def parse_output(self):
     """Parses the PCYL output file and extracts data."""
     
     infile = FileParser()
     infile.set_file(self.stdout)
     
     self.wwingt = infile.transfer_keyvar("Total Wing Structural Weight", 1)
     self.wfuselaget = infile.transfer_keyvar("Fuselage Total Structural Weight", 1)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_output_parse(self):

        data = "Junk\n" + \
                   "Anchor\n" + \
                   " A 1, 2 34, Test 1e65\n" + \
                   " B 4 Stuff\n" + \
                   "Anchor\n" + \
                   " C 77 False NaN 333.444\n" + \
                   " 1,2,3,4,5\n" + \
                   " Inf 1.#QNAN -1.#IND\n"

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        gen = FileParser()
        gen.set_file(self.filename)
        gen.set_delimiters(' ')

        gen.mark_anchor('Anchor')
        val = gen.transfer_var(1, 1)
        self.assertEqual(val, 'A')
        gen.reset_anchor()
        val = gen.transfer_var(3, 2)
        self.assertEqual(val, 4)
        self.assertEqual(type(val), int)
        gen.mark_anchor('Anchor',2)
        val = gen.transfer_var(1, 4)
        self.assertEqual(isnan(val), True)
        val = gen.transfer_var(3, 1)
        self.assertEqual(isinf(val), True)
        val = gen.transfer_var(3, 2)
        self.assertEqual(isnan(val), True)
        val = gen.transfer_var(3, 3)
        self.assertEqual(isnan(val), True)
        val = gen.transfer_line(-1)
        self.assertEqual(val, ' B 4 Stuff')

        # Now, let's try column delimiters
        gen.set_delimiters('columns')
        gen.mark_anchor('Anchor',-1)
        val = gen.transfer_var(1, 8, 10)
        self.assertEqual(val, 'als')
        val = gen.transfer_var(1, 17)
        self.assertEqual(val, 333.444)

        # Test some errors
        try:
            gen.mark_anchor('C 77', 3.14)
        except ValueError, err:
            msg = "The value for occurrence must be an integer"
            self.assertEqual(str(err), msg)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_more_delims(self):

        data = "anchor,1.0,2.0\n" + \
               "abc=123.456\n" + \
               "c=1,2,Word,6\n" + \
               "d=C:/abc/def,a+b*c^2,(%#%),!true\n" + \
               "a^33 1.#QNAN^#$%^"

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        op = FileParser()
        op.set_file(self.filename)

        olddelims = op.delimiter
        op.set_delimiters(' \t,=')

        op.mark_anchor('anchor')

        val = op.transfer_var(0, 1)
        self.assertEqual(val, 'anchor')
        val = op.transfer_var(0, 2)
        self.assertEqual(val, 1.0)
        val = op.transfer_var(1, 1)
        self.assertEqual(val, 'abc')
        val = op.transfer_var(1, 2)
        self.assertEqual(val, 123.456)
        val = op.transfer_var(2, 4)
        self.assertEqual(val, 'Word')
        val = op.transfer_var(2, 5)
        self.assertEqual(val, 6)
        val = op.transfer_var(3, 2)
        self.assertEqual(val, 'C:/abc/def')
        val = op.transfer_var(3, 3)
        self.assertEqual(val, 'a+b*c^2')
        val = op.transfer_var(3, 4)
        self.assertEqual(val, '(%#%)')
        val = op.transfer_var(3, 5)
        self.assertEqual(val, '!true')

        op.set_delimiters(' \t^')
        val = op.transfer_var(4, 1)
        self.assertEqual(val, 'a')
        val = op.transfer_var(4, 2)
        self.assertEqual(val, 33)
        val = op.transfer_var(4, 3)
        self.assertEqual(isnan(val), True)
        val = op.transfer_var(4, 4)
        self.assertEqual(val, '#$%')

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_output_parse_array(self):

        data = "Anchor\n" + \
               "10 20 30 40 50 60 70 80\n" + \
               "11 21 31 41 51 61 71 81\n" + \
               "Key a b c d e\n"

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        gen = FileParser()
        gen.set_file(self.filename)
        gen.set_delimiters(' ')

        gen.mark_anchor('Anchor')
        val = gen.transfer_array(1, 1, 1, 8)
        self.assertEqual(val[0], 10)
        self.assertEqual(val[7], 80)
        val = gen.transfer_array(1, 5, 2, 6)
        self.assertEqual(val[0], 50)
        self.assertEqual(val[9], 61)
        gen.mark_anchor('Key')
        val = gen.transfer_array(0, 2, 0, 6)
        self.assertEqual(val[4], 'e')
        val = gen.transfer_array(0, 2, fieldend=6)
        self.assertEqual(val[4], 'e')

        # Now, let's try column delimiters
        gen.reset_anchor()
        gen.mark_anchor('Anchor')
        gen.set_delimiters('columns')
        val = gen.transfer_array(1, 7, 1, 15)
        self.assertEqual(val[0], 30)
        self.assertEqual(val[2], 50)
        val = gen.transfer_array(1, 10, 2, 18)
        self.assertEqual(val[0], 40)
        self.assertEqual(val[5], 61)
        val = gen.transfer_array(3, 5, 3, 10)
        self.assertEqual(val[0], 'a b c')

        try:
            gen.transfer_array(1, 7, 1)
        except ValueError, err:
            msg = "fieldend is missing, currently required"
            self.assertEqual(str(err), msg)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def load_model(self, filename):
        """Reads in an existing PDCYL input file and populates the variable
        tree with its values."""
        
        infile = FileParser()
        infile.set_file(filename)
        
        # Title is a string
        self.title = infile.transfer_line(2)

        # Print flag becomes a Bool
        if infile.transfer_var(4, 1) == 3:
            self.icalc = True
        else:
            self.icalc = False
        
        # Named variables in dictionary
        for key, val in self._fields.iteritems():
            self.set(val, infile.transfer_var(key, 1))

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_output_parse_same_anchors(self):

        data = "CQUAD4 1 3.456\n" + \
               "CQUAD4 2 4.123\n" + \
               "CQUAD4 3 7.222\n" + \
               "CQUAD4 4\n"

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        gen = FileParser()
        gen.set_file(self.filename)
        gen.set_delimiters(' ')

        gen.mark_anchor('CQUAD4')
        val = gen.transfer_var(0, 3)
        self.assertEqual(val, 3.456)

        gen.mark_anchor('CQUAD4')
        val = gen.transfer_var(0, 3)
        self.assertEqual(val, 4.123)

        gen.mark_anchor('CQUAD4', 2)
        val = gen.transfer_var(0, 2)
        self.assertEqual(val, 4)

        gen.reset_anchor()

        gen.mark_anchor('CQUAD4', -1)
        val = gen.transfer_var(0, 2)
        self.assertEqual(val, 4)

        gen.mark_anchor('CQUAD4', -1)
        val = gen.transfer_var(0, 3)
        self.assertEqual(val, 7.222)

        gen.mark_anchor('CQUAD4', -2)
        val = gen.transfer_var(0, 3)
        self.assertEqual(val, 4.123)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_comment_char(self):

        # Check to see if the use of the comment
        #   characters works
        data = "Junk\n" + \
                   "CAnchor\n" + \
                   " Z 11, 22 344, Test 1e65\n" + \
                   " B 4 Stuff\n" + \
                   "  $ Anchor\n" + \
                   " Q 1, 2 34, Test 1e65\n" + \
                   " B 4 Stuff\n" + \
                   "Anchor\n" + \
                   " A 1, 2 34, Test 1e65\n" + \
                   " B 4 Stuff\n" + \
                   "Anchor\n" + \
                   " C 77 False NaN 333.444\n" + \
                   " 1,2,3,4,5\n" + \
                   " Inf 1.#QNAN -1.#IND\n"

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        # Test full line comments
        gen = FileParser(full_line_comment_char="C")
        gen.set_file(self.filename)
        gen.set_delimiters(' ')
        gen.mark_anchor('Anchor')
        val = gen.transfer_var(1, 1)
        self.assertEqual(val, 'A')

        # Test end of line comments also
        gen = FileParser(full_line_comment_char="C", end_of_line_comment_char="$")
        gen.set_file(self.filename)
        gen.set_delimiters(' ')
        gen.mark_anchor('Anchor')
        val = gen.transfer_var(1, 1)
        self.assertEqual(val, 'A')

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def parse_output(self):
        """Parses the HSRNOISE output file and extracts data."""
        
        outfile = FileParser()
        outfile.set_file('test.output')
        
        outfile.mark_anchor("JN8C4 JET NOISE MODULE")
        outfile.mark_anchor("TOTAL")
        self.thetas = outfile.transfer_array(4,2,4,18)
        self.Freq = outfile.transfer_2Darray(7,1,30,1)        
        self.SPL = outfile.transfer_2Darray(7,2,30,18)
        outfile.mark_anchor("DBA")
        self.OASPL = outfile.transfer_array(-1, 2, -1, 18)
        self.OASPL30 = outfile.transfer_var(-1, 4)
        self.OASPL60 = outfile.transfer_var(-1, 7)
        self.OASPL90 = outfile.transfer_var(-1, 10)
        self.OASPL120 = outfile.transfer_var(-1, 13)
        self.OASPL150 = outfile.transfer_var(-1, 16)

        outfile.mark_anchor("EPNL SUMMARY")
        self.TotalEPNL = outfile.transfer_var(9, 2)
        self.TotalMaxPNLT = outfile.transfer_var(9, 5)
        self.JetEPNL = outfile.transfer_var(8, 2)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]

#.........这里部分代码省略.........
        replacer.replace(varname2value)
        nastran_text = replacer.text

        # use nastran maker to intelligently replace
        # values in cards
        maker = NastranMaker(nastran_text)
        for name, trait in smart_replacements.iteritems():
            value = getattr(self, name)
            maker.set(trait.nastran_card,
                      trait.nastran_id,
                      trait.nastran_fieldnum, value)
        self.nastran_maker_hook(maker)
        maker.write_to_file(tmpfh, 10001)

        tmpfh.close()

        # what is the new file called?
        self.output_filename = path.join(tmpdir, "input.out")

        # perhaps this should be logged, or something
        print self.output_filename

        # Then we run the nastran file
        self.command = self.nastran_command + " " + \
                       tmppath + " " + self.nastran_command_args + \
                       " batch=no out=" + tmpdir + \
                       " dbs=" + tmpdir

        # This calls ExternalCode's execute which will run
        # the nastran command via subprocess
        super(NastranComponent, self).execute()

        # And now we parse the output

        filep = FileParser()
        filep.set_file(self.output_filename)
        filep.set_delimiters(" ")

        # Before we start, we want to make sure we aren't
        # dealing with a failed run. So we search for "FATAL"
        for line in filep.data:
            if "FATAL" in line:
                raise RuntimeError("There was a problem with " + \
                                   "Nastran. It failed to run " + \
                                   "correctly. If you want to see " +\
                                   "the output, check out " + \
                                   self.output_filename)


        for output_name, output_trait in output_variables.iteritems():
            # We run trait.nastran_func on filep and get the
            # final value we want
            setattr(self, output_name,
                    output_trait.nastran_func(filep))


        # This is the grid parser.
        self.parser = NastranParser(filep.data)
        self.parser.parse()

        for name, trait in grid_outputs.iteritems():
            header = trait.nastran_header
            subcase = trait.nastran_subcase
            constraints = trait.nastran_constraints
            columns = trait.nastran_columns
            result = self.parser.get(header, subcase, \
                                     constraints, columns)

            # nastran_{row,column} might be kinda silly
            # in most cases, the user will probably just call
            # self.parser.get on her own
            nastran_row = trait.nastran_row
            nastran_column = trait.nastran_column
            row = nastran_row or 0
            col = nastran_column or 0

            # Now we'll try to guess the conversion we should
            # perform by inspecting the type of trait that
            # is requesting this value
            converter = lambda x: x
            type_understood_as = "unsure"
            if isinstance(trait.trait_type, Float):
                converter = float
                type_understood_as = "float"
            elif isinstance(trait.trait_type, Int):
                converter = lambda x: int(float(x))
                type_understood_as = "int"
            elif isinstance(trait.trait_type, Array):
                # we aren't actually going to return the entire
                # grid because you should use parser if you
                # want to do that.
                converter = lambda x: [x]
                type_understood_as = "array"

            try:
                setattr(self, name, converter(result[row][col]))
            except ValueError, ve:
                print >> sys.stderr, "Unable to convert string " + \
                      result[row][col] +  " to " + type_understood_as
                raise

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def test_output_parse_2Darray(self):

        data = '''
        Anchor
            FREQ  DELTA  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5  -8.5
             Hz
             50.   1.0   30.0  34.8  36.3  36.1  34.6  32.0  28.4  23.9  18.5  12.2   5.0  -3.1 -12.3 -22.5 -34.0 -47.2 -63.7
             63.   1.0   36.5  41.3  42.8  42.6  41.1  38.5  34.9  30.4  25.0  18.7  11.5   3.4  -5.8 -16.0 -27.5 -40.7 -57.2
             80.   1.0   42.8  47.6  49.1  48.9  47.4  44.8  41.2  36.7  31.3  25.0  17.8   9.7   0.5  -9.7 -21.2 -34.4 -50.9
            100.   1.0   48.4  53.1  54.7  54.5  53.0  50.4  46.8  42.3  36.9  30.6  23.3  15.2   6.1  -4.2 -15.7 -28.9 -45.4
            125.   1.0   53.6  58.3  59.9  59.6  58.1  55.5  52.0  47.5  42.0  35.7  28.5  20.4  11.2   1.0 -10.5 -23.7 -40.2
            160.   1.0   58.9  63.7  65.2  65.0  63.5  60.9  57.3  52.8  47.4  41.0  33.8  25.7  16.5   6.3  -5.2 -18.4 -34.9
            200.   1.0   63.4  68.1  69.6  69.4  67.9  65.3  61.7  57.2  51.8  45.5  38.3  30.1  21.0  10.7  -0.8 -14.0 -30.5
            250.   1.0   67.5  72.2  73.7  73.5  72.0  69.4  65.8  61.3  55.9  49.5  42.3  34.2  25.0  14.8   3.3 -10.0 -26.5
            315.   1.0   71.3  76.1  77.6  77.4  75.8  73.2  69.7  65.1  59.7  53.4  46.1  38.0  28.8  18.6   7.1  -6.2 -22.7
            400.   1.0   74.9  79.7  81.2  81.0  79.4  76.8  73.2  68.7  63.2  56.9  49.7  41.5  32.4  22.1  10.6  -2.7 -19.2
            500.   1.0   77.9  82.7  84.2  83.9  82.4  79.8  76.2  71.6  66.2  59.8  52.6  44.4  35.3  25.0  13.5   0.2 -16.3
            630.   1.0   80.7  85.4  86.9  86.6  85.1  82.4  78.8  74.3  68.8  62.5  55.2  47.0  37.9  27.6  16.1   2.8 -13.7
            800.   1.0   83.1  87.8  89.2  89.0  87.4  84.8  81.2  76.6  71.1  64.8  57.5  49.3  40.1  29.9  18.3   5.0 -11.5
           1000.   1.0   84.9  89.6  91.1  90.8  89.2  86.6  82.9  78.4  72.9  66.5  59.2  51.0  41.8  31.5  20.0   6.6  -9.9
           1250.   1.0   86.4  91.1  92.5  92.2  90.7  88.0  84.3  79.7  74.2  67.8  60.5  52.3  43.1  32.8  21.2   7.9  -8.7
           1600.   1.0   87.6  92.3  93.7  93.4  91.8  89.1  85.4  80.8  75.2  68.8  61.5  53.3  44.0  33.7  22.1   8.7  -7.9
           2000.   1.0   88.4  93.0  94.4  94.0  92.4  89.6  85.9  81.3  75.7  69.3  61.9  53.7  44.4  34.0  22.4   9.0  -7.6
           2500.   1.0   88.7  93.3  94.6  94.2  92.6  89.8  86.1  81.4  75.8  69.3  61.9  53.6  44.3  33.9  22.2   8.8  -7.9
           3150.   1.0   88.7  93.2  94.5  94.1  92.4  89.5  85.7  81.0  75.4  68.8  61.4  53.0  43.7  33.3  21.5   8.1  -8.6
           4000.   1.0   88.3  92.7  94.0  93.5  91.7  88.8  85.0  80.2  74.5  67.9  60.4  52.0  42.5  32.0  20.2   6.7 -10.0
           5000.   1.0   87.5  91.9  93.1  92.5  90.7  87.7  83.8  78.9  73.2  66.5  58.9  50.4  40.9  30.4  18.5   4.9 -11.9
           6300.   1.0   86.5  90.8  91.9  91.2  89.3  86.2  82.2  77.3  71.4  64.6  57.0  48.4  38.8  28.1  16.2   2.5 -14.5
           8000.   1.0   85.3  89.5  90.4  89.6  87.6  84.4  80.2  75.2  69.2  62.3  54.5  45.8  36.1  25.3  13.2  -0.6 -17.7
          10000.   1.0   84.2  88.2  89.0  88.1  85.9  82.5  78.3  73.0  66.9  59.9  51.9  43.1  33.2  22.3  10.1  -3.9 -21.1
        '''

        outfile = open(self.filename, 'w')
        outfile.write(data)
        outfile.close()

        gen = FileParser()
        gen.set_file(self.filename)

        # whitespace delim; with end field
        gen.set_delimiters(' \t')
        gen.mark_anchor('Anchor')
        val = gen.transfer_2Darray(3, 2, 26, 19)
        self.assertEqual(val[0, 1], 30.0)
        self.assertEqual(val[0, 17], -63.7)
        self.assertEqual(val[1, 17], -57.2)
        self.assertEqual(val[23, 17], -21.1)
        self.assertEqual(val.shape[0], 24)
        self.assertEqual(val.shape[1], 18)

        # whitespace delim; no end field
        val = gen.transfer_2Darray(3, 2, 26)
        self.assertEqual(val[0, 1], 30.0)
        self.assertEqual(val[23, 17], -21.1)
        self.assertEqual(val.shape[0], 24)
        self.assertEqual(val.shape[1], 18)

        # column delim; with end field
        gen.set_delimiters('columns')
        val = gen.transfer_2Darray(3, 19, 26, 125)
        self.assertEqual(val[0, 1], 30.0)
        self.assertEqual(val[0, 17], -63.7)
        self.assertEqual(val[1, 17], -57.2)
        self.assertEqual(val[23, 17], -21.1)
        self.assertEqual(val.shape[0], 24)
        self.assertEqual(val.shape[1], 18)

        # column delim; no end field
        val = gen.transfer_2Darray(3, 19, 26)
        self.assertEqual(val[0, 1], 30.0)
        self.assertEqual(val[0, 17], -63.7)
        self.assertEqual(val[1, 17], -57.2)
        self.assertEqual(val[23, 17], -21.1)
        self.assertEqual(val.shape[0], 24)
        self.assertEqual(val.shape[1], 18)

        # make sure single line works
        gen.set_delimiters(' \t')
        val = gen.transfer_2Darray(5, 3, 5, 5)
        self.assertEqual(val[0, 2], 49.1)

        # Small block read
        val = gen.transfer_2Darray(7, 3, 9, 6)
        self.assertEqual(val[0, 0], 53.6)
        self.assertEqual(val[2, 0], 63.4)

        # Error messages for bad values
        try:
            gen.transfer_2Darray(7, 3, 9, 1)
        except ValueError, err:
            msg = "fieldend must be greater than fieldstart"
            self.assertEqual(str(err), msg)

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
    def load_model(self, control_input='control.in',
                         flocond_input='flocond.in',
                         expnd_input='expnd.in',
                         zrdmix_input='zrdmix.in',
                         hwall_input='hwall.in'):
        '''Reads in an existing set of input files and populates the model.'''
        
        ignore = ['ist', 'ifab']
        ct = Namelist(self)
        ct.set_filename(control_input)
        ct.parse_file()
        ct.load_model(ignore=ignore)

        ignore = ['p01d', 'p02d', 't01d', 't02d', 'rm1', 'rm2', 'gam', 'pinf',
                  'a1d', 'a2d', 'a3d']
        fc = Namelist(self)
        fc.set_filename(flocond_input)
        fc.parse_file()
        fc.load_model(ignore=ignore)
        self.flow_in.pri.Pt = fc.find_card('floc', 'p01d')
        self.flow_in.sec.Pt = fc.find_card('floc', 'p02d')
        self.flow_in.pri.Tt = fc.find_card('floc', 't01d')
        self.flow_in.sec.Tt = fc.find_card('floc', 't02d')
        self.flow_in.pri.Mach = fc.find_card('floc', 'rm1')
        self.flow_in.sec.Mach = fc.find_card('floc', 'rm2')
        self.flow_in.gamma = fc.find_card('floc', 'gam')
        self.flow_in.Pstatic = fc.find_card('floc', 'pinf')
        a1d = fc.find_card('floc', 'a1d')
        a2d = fc.find_card('floc', 'a2d')
        a3d = fc.find_card('floc', 'a3d')
        
        ep = Namelist(self)
        ep.set_filename(expnd_input)
        ep.parse_file()
        ep.load_model()
        
        ignore = ['RLD', 'H0LM', 'H0HY', 'ALP1', 'ALP2', 'BWID']
        zr = Namelist(self)
        zr.set_filename(zrdmix_input)
        zr.parse_file()
        zr.load_model(ignore=ignore)
        self.geo_in.length = zr.find_card('zrd', 'RLD')
        self.geo_in.LhWave = zr.find_card('zrd', 'H0LM')
        self.geo_in.LhMh = zr.find_card('zrd', 'H0HY')
        self.geo_in.ChuteAngles = zr.find_card('zrd', 'ALP1')
        #self.geo_in.ChuteAngles = zr.find_card('zrd', 'ALP2')
        BWID = zr.find_card('zrd', 'BWID')

        parser = FileParser()
        parser.set_file(hwall_input)
        parser.set_delimiters(", ")
        nrow = parser.transfer_var(0, 1)
        geom = zeros((nrow, 2), 'd')
        for index in range(nrow):
            geom[index, :] = parser.transfer_array(1+index, 1, 1+index, 2)
            
        self.geom = geom
        
        # Reverse area calculations for AsAp, AeAt and AR
        # Note that DREA only uses half the area as it assumes a plane of symmetry
        self.geo_in.Apri = 2.0*a1d
        self.geo_in.AsAp = 2.0*a2d/self.geo_in.Apri
        self.geo_in.Asec = self.geo_in.AsAp*self.geo_in.Apri
        self.geo_in.AeAt = 2.0*a3d/(self.geo_in.Apri+self.geo_in.Asec)
        self.geo_in.AR = BWID*BWID/(self.geo_in.Apri+self.geo_in.Asec)
        
        #self.geo_in.length = self.geom[-1, 0]
        self.geo_in.width = 0.5*(self.geo_in.Apri + self.geo_in.Asec)/self.geom[0,1]
        self.geo_in.Aexit = 2.0*self.geom[-1,1]*self.geo_in.width  

# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_file [as 别名]
 def load_model(self, filename="test.input"):
     """Loads an existing HSRNOISE input file."""
    
     infile = FileParser()
     infile.set_file(filename)
     
     infile.mark_anchor('$GEOM')
     self.HMIC = float(infile.transfer_keyvar("HMIC", 2))
     self.SL = float(infile.transfer_keyvar("SL", 2))
     infile.mark_anchor('$FLIPATH')
     self.ALTEVO = float(infile.transfer_keyvar("ALTEVO", 2))
         
     self.HMIC = int(infile.transfer_keyvar("JETMETHOD", 2))
     
     infile.mark_anchor('$JET1IN')
     self.geo_in.Apri = float(infile.transfer_keyvar("APRI", 2))
     self.geo_in.Asec = float(infile.transfer_keyvar("ASEC", 2))
     self.ATHP = float(infile.transfer_keyvar("ATHP", 2))
     self.DELMIX = float(infile.transfer_keyvar("DELMIX", 2))
     self.DELPE = float(infile.transfer_keyvar("DELPE", 2))
     self.DELPI = float(infile.transfer_keyvar("DELPI", 2))
     self.geo_in.ChuteAngles = float(infile.transfer_keyvar("DIVANG", 2))
     self.geo_in.AR = float(infile.transfer_keyvar("EJASP", 2))
     self.EJD = float(infile.transfer_keyvar("EJD", 2))
     self.geo_in.length = float(infile.transfer_keyvar("EJL", 2))
     self.EJLIN = float(infile.transfer_keyvar("EJLIN", 2))
     self.FLIN = float(infile.transfer_keyvar("FLIN", 2))
     self.geo_in.LhMh = float(infile.transfer_keyvar("PEN", 2))
     self.PLUGD = float(infile.transfer_keyvar("PLUGD", 2))
     self.PSI0 = float(infile.transfer_keyvar("PSI0", 2))
     self.SPOKE = float(infile.transfer_keyvar("SPOKE", 2))
     self.flow_in.pri.Tt = float(infile.transfer_keyvar("TPRI", 2))
     self.flow_in.sec.Tt = float(infile.transfer_keyvar("TSEC", 2))
     self.flow_in.pri.Vel = float(infile.transfer_keyvar("VPRI", 2))
     self.flow_in.sec.Vel = float(infile.transfer_keyvar("VSEC", 2))
     self.flow_in.pri.W = float(infile.transfer_keyvar("WPRI", 2))
     self.flow_in.sec.W = float(infile.transfer_keyvar("WSEC", 2))
     self.geo_in.AeAt = float(infile.transfer_keyvar("XMAR", 2))
     
     infile.mark_anchor('$JET2IN')
     self.APT = float(infile.transfer_keyvar("APT", 2))
     self.AS = float(infile.transfer_keyvar("AS", 2))
     self.CER = float(infile.transfer_keyvar("CER", 2))
     self.DHP = float(infile.transfer_keyvar("DHP", 2))
     self.DL = float(infile.transfer_keyvar("DL", 2))
     self.DM = float(infile.transfer_keyvar("DM", 2))
     self.FPK = float(infile.transfer_keyvar("FPK", 2))
     self.GAMMAC = float(infile.transfer_keyvar("GAMMAC", 2))
     self.HEX = float(infile.transfer_keyvar("HEX", 2))
     self.IEX = int(infile.transfer_keyvar("IEX", 2))
     self.ISUPPR = int(infile.transfer_keyvar("ISUPPR", 2))
     self.LBE = float(infile.transfer_keyvar("LBE", 2))
     self.LBS = float(infile.transfer_keyvar("LBS", 2))
     self.LE = float(infile.transfer_keyvar("LE", 2))
     self.LPE = float(infile.transfer_keyvar("LPE", 2))
     self.LPS = float(infile.transfer_keyvar("LPS", 2))
     self.MMC = float(infile.transfer_keyvar("MMC", 2))
     self.MPD = float(infile.transfer_keyvar("MPD", 2))
     self.PC = float(infile.transfer_keyvar("PC", 2))
     self.PEN = float(infile.transfer_keyvar("PEN", 2))
     self.SAR = float(infile.transfer_keyvar("SAR", 2))
     self.SUPPK = float(infile.transfer_keyvar("SUPPK", 2))
     self.TC = float(infile.transfer_keyvar("TC", 2))
     self.TEX = float(infile.transfer_keyvar("TEX", 2))
     self.VEX = float(infile.transfer_keyvar("VEX", 2))
     self.WEX = float(infile.transfer_keyvar("WEX", 2))
     self.WSWP = float(infile.transfer_keyvar("WSWP", 2))
     
     # Set derived values down in the variable trees.
     self.LinFrac = self.EJLIN/self.geo_in.length
     self.phi = degrees(arcsin(0.1*self.SL))
     self.geo_in.Num_Lobes = self.SPOKE
     self.geo_in.Aexit = pi*(0.5*self.EJD)**2
     
     # Where does gamma come from?
     self.flow_in.gamma = 1.4
     
     # use fixed-point iteration to solve for mach 
     mach = 1.0
     gam = self.flow_in.gamma
     apri = self.geo_in.Apri
     athp = self.ATHP
     
     term1 = ((gam+1)/2)**((-gam-1)/(2*(gam-1)))
     exp1 = ((gam+1)/(2*(gam-1)))
     
     for i in range(135):
         mach = athp/(apri/(term1*(1+(gam-1)/2*mach**2)**exp1))
         
     
     self.flow_in.pri.Mach = mach