def replace(selection, pfield_index_list, pgenerator, *args):
'''Replaces pfield values in selection using a supplied pgenerator,
function or method.
This will overwrite and existing value, numeric or not, in a
pfield, including elements such as carry statements and
expressions.
Use this function instead of operate_numeric() when you want to
create new data, instead of altering existing pfield data. This
works wells with python objects that have a persistant state.
Example::
>>> def return_something(x):
... return x
...
>>> selection.replace({0: 'i 1 0 4 1.0 440'}, 5, return_something, '$foo')
{0: 'i 1 0 4 1.0 $foo'}
See :term:`pfield_index_list`, :term:`pgenerator`, :term:`selection`
'''
pfield_index_list = __pfield_index_to_list(pfield_index_list)
# Operate on all events in selection. Sorted is a must.
for k, v in sorted(selection.iteritems()):
# Operate on each pfield
for pf in pfield_index_list:
selection[k] = v = event.set(v, pf, pgenerator(*args))
return selection
def replace(selection, pfield_index_list, pgenerator, *args):
'''Replaces pfield values in selection using a supplied pgenerator,
function or method.
This will overwrite and existing value, numeric or not, in a
pfield, including elements such as carry statements and
expressions.
Use this function instead of operate_numeric() when you want to
create new data, instead of altering existing pfield data. This
works wells with python objects that have a persistant state.
Example::
>>> def return_something(x):
... return x
...
>>> selection.replace({0: 'i 1 0 4 1.0 440'}, 5, return_something, '$foo')
{0: 'i 1 0 4 1.0 $foo'}
See :term:`pfield_index_list`, :term:`pgenerator`, :term:`selection`
'''
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:
selection[k] = v = event.set(v, pf, pgenerator(*args))
return selection
def value_to_carry(score):
'''Replaces subsequent repeated values with a carry (.)
Identical expressions do no carry, as a carry only copies the first
value output from an expression. This breaks the form when multiple
random evaluations are part of the score.
Macros do no carry as they may contain expressions.
No-carries are not carried.
'''
event_list = score.splitlines(True)
last_identifier = None
last_values = []
output = []
# Explicitly state pfield 3 instead a magic number. Carry
# statements only substitute for pfields 3 or higher.
PFIELD_3 = 3
# Excluded element token types
elements = [element.EXPRESSION, element.MACRO, element.NO_CARRY]
for e in event_list:
if event.match(e, {0: 'i', 1: last_identifier}):
lolv = len(last_values)
for i in range(PFIELD_3, max(event.number_of_pfields(e), lolv)):
this_pfield = event.get(e, i)
# Detect NO_CARRY
if element.token_type(this_pfield) == element.NO_CARRY:
last_values[i] = this_pfield
break
elif element.token_type(last_values[i]) == element.NO_CARRY:
break
# Replace pfield with carry
elif (this_pfield == last_values[i]
and element.token_type(this_pfield) not in elements):
e = event.set(e, i, '.')
# Add a carry if one does not exist
elif this_pfield == None:
e = event.push(e, '.')
else:
last_values[i] = this_pfield
output.append(e)
else:
last_identifier = event.get(e, 1)
last_values = event.get_pfield_list(e)
output.append(e)
return ''.join(output)
def value_to_carry(score):
'''Replaces subsequent repeated values with a carry (.)
Identical expressions do no carry, as a carry only copies the first
value output from an expression. This breaks the form when multiple
random evaluations are part of the score.
Macros do no carry as they may contain expressions.
No-carries are not carried.
'''
event_list = score.splitlines(True)
last_identifier = None
last_values = []
output = []
# Explicitly state pfield 3 instead a magic number. Carry
# statements only substitute for pfields 3 or higher.
PFIELD_3 = 3
# Excluded element token types
elements = [element.EXPRESSION, element.MACRO, element.NO_CARRY];
for e in event_list:
if event.match(e, {0: 'i', 1: last_identifier}):
lolv = len(last_values)
for i in range(PFIELD_3, max(event.number_of_pfields(e), lolv)):
this_pfield = event.get(e, i)
# Detect NO_CARRY
if element.token_type(this_pfield) == element.NO_CARRY:
last_values[i] = this_pfield
break
elif element.token_type(last_values[i]) == element.NO_CARRY:
break
# Replace pfield with carry
elif (this_pfield == last_values[i] and
element.token_type(this_pfield) not in elements):
e = event.set(e, i, '.')
# Add a carry if one does not exist
elif this_pfield == None:
e = event.push(e, '.')
else:
last_values[i] = this_pfield
output.append(e)
else:
last_identifier = event.get(e, 1)
last_values = event.get_pfield_list(e)
output.append(e)
return ''.join(output)
def operate_string(selection, pfield_index_list, pfunction, *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)
selection[k] = v = event.set(v, pf, pfunction(pf_value, *args))
return selection
def operate_string(selection, pfield_index_list, pfunction, *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)
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
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 test(n, line, pf, v, expect):
result = s.set(line, pf, v)
did_pass = result == expect
return did_pass, n, 'set()', str(expect), str(result)
def test(n, line, pf, v, expect):
result = s.set(line, pf, v)
did_pass = result == expect
return did_pass, n, 'set()', str(expect), str(result)