def __convert_args_to_numeric(args_tuple):
'''Returns a list of numeric args.'''
args = list(args_tuple)
for i, a in enumerate(args):
if isinstance(a, str):
args[i] = element.str_to_numeric(a)
return args
def __convert_args_to_numeric(args_tuple):
'''Returns a list of numeric args.'''
args = list(args_tuple)
for i, a in enumerate(args):
if isinstance(a, str):
args[i] = element.str_to_numeric(a)
return args
def operate_numeric(selection, pfield_index_list, pfunction, *args):
'''Processes a matrix of pfields and events using the supplied
:term:`pfunction` and any optional arguments.
In cases where the original numeric pfield was an int, but
processed with floats, the int will be output as a float in the
score, even if the output contains no fractional parts.
Example::
>>> def multiply(pf, m): return pf * m
...
>>> sco.operate_numeric({0: 'i 1 0 4 1.0 440', 1: 'i 1 4 4 0.5 880'},
... 5, multiply, 3)
{0: 'i 1 0 4 1.0 1320', 1: 'i 1 4 4 0.5 2640'}
A lambda function can specified as the pfunction argument::
# Invert pfield
operate_numeric(score, pf, lambda x: 1.0 / x)
See :term:`pfield_index_list`, :term:`pfunction`, :term:`selection`
'''
# Args need to be numeric
args = __convert_args_to_numeric(args)
# Convert single single value to list
pfield_index_list = __pfield_index_to_list(pfield_index_list)
# Operate on all events in selection. Sorted is a must.
for k, v in sorted(selection.iteritems()):
# Operate on each pfield
for pf in pfield_index_list:
pf_value = event.get(v, pf)
# Preserve non-numeric pfields
if element.token_type(pf_value) is element.NUMERIC:
pf_value = element.str_to_numeric(pf_value)
selection[k] = v = event.set(v, pf, pfunction(pf_value, *args))
return selection
def operate_numeric(selection, pfield_index_list, pfunction, *args):
'''Processes a matrix of pfields and events using the supplied
:term:`pfunction` and any optional arguments.
In cases where the original numeric pfield was an int, but
processed with floats, the int will be output as a float in the
score, even if the output contains no fractional parts.
Example::
>>> def multiply(pf, m): return pf * m
...
>>> sco.operate_numeric({0: 'i 1 0 4 1.0 440', 1: 'i 1 4 4 0.5 880'},
... 5, multiply, 3)
{0: 'i 1 0 4 1.0 1320', 1: 'i 1 4 4 0.5 2640'}
A lambda function can specified as the pfunction argument::
# Invert pfield
operate_numeric(score, pf, lambda x: 1.0 / x)
See :term:`pfield_index_list`, :term:`pfunction`, :term:`selection`
'''
# Args need to be numeric
args = __convert_args_to_numeric(args)
# Convert single single value to list
pfield_index_list = __pfield_index_to_list(pfield_index_list)
# Operate on all events in selection. Sorted is a must.
for k, v in sorted(selection.iteritems()):
# Operate on each pfield
for pf in pfield_index_list:
pf_value = event.get(v, pf)
# Preserve non-numeric pfields
if element.token_type(pf_value) is element.NUMERIC:
pf_value = element.str_to_numeric(pf_value)
selection[k] = v = event.set(v, pf, pfunction(pf_value, *args))
return selection
