def __init__(self,
filename=None,
minLength=-1,
commentString=None,
minNF=-1,
skipHeaderLines=0,
separator=None):
_AwkLike.__init__(self,
minLength=minLength,
commentString=commentString,
minNF=minNF,
skipHeaderLines=skipHeaderLines,
separator=separator)
self.f = None
if filename == None:
self.f = sys.stdin
self.FILENAME = 'stdin' # pylint: disable=C0103
else:
self.FILENAME = filename
if not os.path.exists(filename):
ntu.nTerror('AwkLike: Failed to find file "%s"' % filename)
self.f = None
else:
self.f = open(filename, 'r')
def close(self):
"""internal routine"""
if self.FILENAME is None:
ntu.nTerror('AwkLike.close: Cannot close file')
return
if self.f is None:
ntu.nTerror('AwkLike.close: Cannot close "%s"', self.FILENAME)
return
if self.f is not sys.stdin:
self.f.close()
self.f = None
def close(self):
"""internal routine"""
if self.FILENAME is None:
ntu.nTerror('AwkLike.close: Cannot close file')
return
if self.f is None:
ntu.nTerror('AwkLike.close: Cannot close "%s"', self.FILENAME)
return
if self.f is not sys.stdin:
self.f.close()
self.f = None
def float(self, field):
"""Return field converted to float or NaN on error """
try:
return float(self[field])
except ValueError:
ntu.nTerror(
'AwkLike: expected float for "%s" (file: %s, line %d: "%s")',
self[field], self.FILENAME, self.NR, self[0])
except IndexError:
ntu.nTerror(
'AwkLike: invalid field number "%d" (file: %s, line %d: "%s")',
field, self.FILENAME, self.NR, self[0])
return fpconst.NaN
def __init__(self, filename=None, minLength=-1, commentString=None, minNF=-1,
skipHeaderLines=0, separator=None):
_AwkLike.__init__(self, minLength=minLength, commentString=commentString, minNF=minNF,
skipHeaderLines=skipHeaderLines, separator=separator)
self.f = None
if filename is None:
self.f = sys.stdin
self.FILENAME = 'stdin' # pylint: disable=C0103
else:
self.FILENAME = filename
if not os.path.exists(filename):
ntu.nTerror('AwkLike: Failed to find file "%s"' % filename)
self.f = None
else:
self.f = open(filename, 'r')
def float(self, field):
"""Return field converted to float or NaN on error """
try:
return float(self[field])
except ValueError:
ntu.nTerror('AwkLike: expected float for "%s" (file: %s, line %d: "%s")',
self[field],
self.FILENAME,
self.NR,
self[0]
)
except IndexError:
ntu.nTerror('AwkLike: invalid field number "%d" (file: %s, line %d: "%s")',
field,
self.FILENAME,
self.NR,
self[0]
)
return fpconst.NaN
pluginCodeModulePackage = None
try:
# JFD changed from default to zero which means to only try absolute imports.
pluginCodeModulePackage = __import__(pluginCodeModule, globals(), locals(), [pluginName])
isInstalled = True
ntu.nTdebug("importPlugin: Installed plugin: [%s]" % pluginName)
except ImportWarning:
ntu.nTdebug(
"importPlugin: Skipping import of an optional plugin: [%s] (please recode to use SkipTest)" % pluginName
)
isInstalled = False
except SkipTest:
ntu.nTdebug("importPlugin: Skipping import of an optional plugin: [%s]" % pluginName)
except:
ntu.nTtracebackError()
ntu.nTerror("importPlugin: Failed to import pluginCodeModule: [%s]" % pluginName)
return None
# end try
pluginModule = None
if isInstalled:
if not hasattr(pluginCodeModulePackage, pluginName):
ntu.nTerror(
"importPlugin: Expected an attribute pluginName: "
+ pluginName
+ " for package: "
+ repr(pluginCodeModulePackage)
)
return None
pluginModule = getattr(pluginCodeModulePackage, pluginName)
# end if
