My tools of the trade for python programming.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

105 lines
3.1 KiB

# $Id: result_base.py,v 1.2 2010-11-11 17:59:36 wirawan Exp $
#
# pyqmc.results.result_base.py
# Basic tool for storing the result of a calculation.
#
# Wirawan Purwanto
# Created: 20101025 (pyqmc.results.result_base)
# Moved: 20101111 (to wpylib.db.result_base)
#
"""
The class result_base is very similar to
wpylib.params.params_flat.Parameters ,
except that it does not contain multiple dict-like objects, thus is
much simpler.
class: result_base
The result_base class concerns itself with loading structured set of
values or parameters from external sources (e.g., from a text file or
other binary file) in order to make the data amenable to machine
processing.
"""
import os
import os.path
class result_base(dict):
'''Structure to represent metadata or structured result.
No particular structure is assumed.
Results are fetchable by either X.member or X['member'] syntax, and
these results are typically meant to be read-only.
CAVEATS
* Note: dict method names are left intact.
Please be aware when programming using result_base object!
* Please do not prefix or suffix dataset member names with underscore.
Those names are reserved for internal purposes.
* In some cases, additional methods are required to be defined in the
derived class:
- parse_file_(self, filename)
* Additional possible field names set by this class:
- filename_
- absfilename_ -- full file name including absolute directory path.
* __setattr__ is not set.
Result-related attributes are supposed to be read-only.
As a consequence, adding metadata or result *must* be done in the
dict way, e.g.
X['nblocks'] = 32
instead of
X.nblocks = 32.
'''
def __init__(self, _src_=None, **_extra_values_):
"""Initializes structured dataset.
By default, the source can be one of the following:
* a dict: then the values are copied over (shallow copy) to this
object.
* a string containing filename: then the virtual parse_file_ method
is invoked.
Other unrecognized keyword arguments will be stored in the
object's dictionary as part of the result.
"""
src = _src_
if isinstance(src, dict):
self.clear()
self.update(src)
elif isinstance(src, basestring):
# WARNING: Awaiting future definition of parse_text_file_().
# This must be specified in the derived class.
self.parse_file_(src)
self.filename_ = src
self.absfilename_ = os.path.abspath(src)
else:
pass
self.update(_extra_values_)
def __getattr__(self, key):
try:
return self[key]
except:
return dict.__getattribute__(self, key)
def __str__(self):
return "<" +self.__module__ + "." + self.__class__.__name__ + \
" object (" + dict.__str__(self) + ")>"
# Test programs
if __name__ == "__main__":
def _test_result_base1():
x = result_base()
print x.keys()
print x.values()
x['nblocks'] = 32
print x
y = result_base({'lack': 352, 'Etrial': -32.764})
print y.keys()
print y.values()
y['nblocks'] = 32
print y
print y.Etrial
_test_result_base1()