* For auto param _create_() function: added _skipframes_ option, if needed.

* Added support for __flatten_dict__() function.
master
Wirawan Purwanto 9 years ago
parent 1eaeb3e68c
commit 17b9ed5585
  1. 10
      params/params_flat.py

@ -426,6 +426,11 @@ class Parameters(dict):
a single dict.
Caveat: This will also "disconnect" the created object from any changes
done on the dicts in the search path.
- _skipframes_ (integer >= 1) = the number of stack frames to skip.
Default: 1, i.e. the immediate caller of the _create_ routine.
Warning: this is low-level hack; know what you are doing if you want
to use a different _skipframes_.
Usually this is needed only for internal routines.
Cautions for using `_localvar_` option:
1) The default is False because it can be very confusing!
@ -445,11 +450,12 @@ class Parameters(dict):
# Look up the stack of the calling function in order to retrieve its
# local variables
from inspect import stack
caller = stack()[1][0] # one frame up; element-0 is the stack frame
_kwparam_ = _options_.get("_kwparam_", None)
_userparam_ = _options_.get("_userparam_", None)
_localvars_ = _options_.get("_localvars_", None)
_flatten_ = _options_.get("_flatten_", False)
_skipframes_ = _options_.get("_skipframes_", 1)
caller = stack()[_skipframes_][0] # default is one frame up; element-0 is the stack frame
if _kwparam_ == None: _kwparam_ = self._kwparam_
if _userparam_ == None: _userparam_ = self._userparam_
@ -521,5 +527,7 @@ def flatten_dict(D):
"""
if isinstance(D, Parameters):
return D._flatten_()
elif hasattr(D, "__flatten_dict__") and callable(D.__flatten_dict__):
return D.__flatten_dict__()
else:
return D

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