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fixed_format_file.py
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fixed_format_file.py
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"""For reading, parsing and writing fixed format text files."""
"""
Copyright 2013 University of Auckland.
This file is part of PyTOUGH.
PyTOUGH is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
PyTOUGH is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with PyTOUGH. If not, see <http://www.gnu.org/licenses/>."""
from numpy import nan
def fortran_float(s, blank_value = 0.0):
"""Returns float of a string written by Fortran. Its behaviour is different from the float() function
in the following ways:
- a blank string will return the specified blank value (default zero)
- embedded spaces are ignored
- 'd' specifier will be treated the same as 'e'
- underflow or overflow in exponent, with the 'e' omitted, are treated as if the 'e' was present
If any other errors are encountered, np.nan is returned."""
try: return float(s)
except ValueError:
s = s.strip()
if not s: return blank_value
else:
try:
s = s.lower().replace('d','e').replace(' ', '')
return float(s)
except:
try:
return float(''.join([s[0],s[1:].replace('-','e-')]))
except ValueError:
try:
return float(''.join([s[0],s[1:].replace('+','e')]))
except ValueError: return nan
except: return nan
def fortran_int(s, blank_value = 0):
"""Returns float of a string written by Fortran. Its behaviour is different from the float() function
in the following ways:
- a blank string will return the specified blank value (default zero)
- embedded spaces are ignored
If any other errors are encountered, None is returned."""
try: return int(s)
except ValueError:
s = s.strip()
if not s: return blank_value
else:
try:
s = s.replace(' ', '')
return int(s)
except: return None
def value_error_none(f):
"""Wraps a function with a handler to return None on a ValueError exception."""
def fn(x):
try: return f(x)
except ValueError: return None
return fn
default_read_float = value_error_none(float)
default_read_int = value_error_none(int)
default_read_str = value_error_none(lambda x:x.rstrip('\n'))
default_read_space = lambda x: None
from functools import partial
fortran_read_float = partial(fortran_float, blank_value = None)
fortran_read_int = partial(fortran_int, blank_value = None)
def read_function_dict(floatfn = default_read_float, intfn = default_read_int,
strfn = default_read_str, spacefn = default_read_space):
"""Returns a conversion function dictionary using the specified functions for float,
int, string and space."""
result = {'s': strfn, 'x': spacefn, 'd': intfn}
for typ in ['f','e','g']: result[typ] = floatfn
return result
default_read_function = read_function_dict()
fortran_read_function = read_function_dict(fortran_read_float, fortran_read_int)
class fixed_format_file(file):
"""Class for fixed format text file. Values from the file may be parsed into variables,
according to a specification dictionary. The keys of the specification dictionary are
arbitrary and may be assigned for convenience, e.g. referring to specific sections or lines
in the file. Each value in the specification dictionary is a list of two lists: first a list
of the names of variables in the specification, then a list of the corresponding format
specifications. The individual format specifications are like those in Python formats,
consisting of an integer width value followed by a type ('d' for integer, 'f' for float etc.).
The default conversion functions also allow an 'x' specifier for blanks (like fortran), which
returns None."""
def __init__(self, filename, mode, specification, read_function = default_read_function):
self.specification = specification
self.read_function = read_function
self.preprocess_specification()
super(fixed_format_file, self).__init__(filename, mode)
def preprocess_specification(self):
"""Pre-process specifications to speed up parsing."""
self.line_spec, self.spec_width={}, {}
for section, [names,specs] in self.specification.iteritems():
self.line_spec[section] = []
pos = 0
for spec in specs:
fmt, typ=spec[:-1], spec[-1]
w = int(fmt.partition('.')[0])
nextpos = pos+w
self.line_spec[section].append(((pos,nextpos),typ))
pos = nextpos
self.spec_width[fmt] = w
def parse_string(self, line, linetype):
"""Parses a string into values according to specified input format (d,f,s, or x for integer, float, string or skip).
Blanks are converted to None."""
return [self.read_function[typ](line[i1:i2]) for (i1,i2),typ in self.line_spec[linetype]]
def write_values_to_string(self, vals, linetype):
"""Inverse of parse_string()."""
fmt = self.specification[linetype][1]
strs = []
for val,f in zip(vals,fmt):
if (val is not None) and (f[-1]<>'x'): valstr = ('%%%s'%f) % val
else: valstr = ' '*self.spec_width[f[0:-1]] # blank
strs.append(valstr)
return ''.join(strs)
def read_values(self, linetype):
"""Reads a line from the file, parses it and returns the values."""
line = self.readline()
return self.parse_string(line,linetype)
def write_values(self, vals, linetype):
"""Inverse of read_values()."""
line = self.write_values_to_string(vals,linetype)
self.write('%s\n'%line)
def read_value_line(self, variable, linetype):
"""Reads a line of parameter values from the file into a dictionary variable.
Null values are ignored."""
spec = self.specification[linetype]
vals = self.read_values(linetype)
for var,val in zip(spec[0],vals):
if val is not None: variable[var] = val
def write_value_line(self, variable, linetype):
"""Inverse of read_value_line()."""
spec = self.specification[linetype]
vals = []
for name in spec[0]:
if name in variable: val = variable[name]
else: val = None
vals.append(val)
self.write_values(vals,linetype)