本文整理汇总了Python中openmdao.util.filewrap.FileParser.set_delimiters方法的典型用法代码示例。如果您正苦于以下问题：Python FileParser.set_delimiters方法的具体用法？Python FileParser.set_delimiters怎么用？Python FileParser.set_delimiters使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类openmdao.util.filewrap.FileParser的用法示例。
在下文中一共展示了FileParser.set_delimiters方法的9个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_output_parse_keyvar
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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)示例2: test_output_parse
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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)示例3: test_more_delims
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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^#$%^"
outfile = open(self.filename, 'w')
outfile.write(data)
outfile.close()
op = FileParser()
op.set_file(self.filename)
olddelims = op.delimiter
op.set_delimiters(' \t,=')
op.mark_anchor('anchor')
val = op.transfer_var(0, 1)
self.assertEqual(val, 'anchor')
val = op.transfer_var(0, 2)
self.assertEqual(val, 1.0)
val = op.transfer_var(1, 1)
self.assertEqual(val, 'abc')
val = op.transfer_var(1, 2)
self.assertEqual(val, 123.456)
val = op.transfer_var(2, 4)
self.assertEqual(val, 'Word')
val = op.transfer_var(2, 5)
self.assertEqual(val, 6)
val = op.transfer_var(3, 2)
self.assertEqual(val, 'C:/abc/def')
val = op.transfer_var(3, 3)
self.assertEqual(val, 'a+b*c^2')
val = op.transfer_var(3, 4)
self.assertEqual(val, '(%#%)')
val = op.transfer_var(3, 5)
self.assertEqual(val, '!true')
op.set_delimiters(' \t^')
val = op.transfer_var(4, 1)
self.assertEqual(val, 'a')
val = op.transfer_var(4, 2)
self.assertEqual(val, 33)
val = op.transfer_var(4, 3)
self.assertEqual(isnan(val), True)
val = op.transfer_var(4, 4)
self.assertEqual(val, '#$%')示例4: test_output_parse_array
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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)示例5: test_output_parse_same_anchors
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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)示例6: test_comment_char
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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')示例7: execute
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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示例8: test_output_parse_2Darray
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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)示例9: load_model
# 需要导入模块: from openmdao.util.filewrap import FileParser [as 别名]
# 或者: from openmdao.util.filewrap.FileParser import set_delimiters [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