def main():
# Get argv from command-line
statement = list(sys.argv[1])
identifier = eval(sys.argv[2])
a = int(sys.argv[3])
b = int(sys.argv[4])
# Get stdin
stdin = sys.stdin.readlines()
s = ''.join(stdin)
selected = sco.select(s, {0: statement, 1: identifier})
selected = selection.swap(selected, a, b)
print sco.merge(s, selected),
def _map_process(self, data, statement, identifier, pfield, function,
*args, **kwargs):
convert_numeric = True
sco_statements_enabled = True
# Convert pfield to list if it isn't one
if not isinstance(pfield, list):
pfield = [pfield]
selection = sco.select(data, {0: statement, 1: identifier})
for k, v in selection.iteritems():
for p in pfield:
element = sco.event.get(v, p)
# Bypass if score statement like carry
# TODO: ^+x, npx, ppx, etc...
if sco_statements_enabled and element in ['.', '+', '<', '!']:
break
# Convert value to float
if convert_numeric:
try:
element = float(element)
except Exception:
pass
deez_args = (element, ) + args
selection[k] = sco.event.set(v, p,
function(*deez_args, **kwargs))
return sco.merge(data, selection)
def _map_process(self, data, statement, identifier, pfield, function,
*args, **kwargs):
convert_numeric = True
sco_statements_enabled = True
# Convert pfield to list if it isn't one
if not isinstance(pfield, list):
pfield = [pfield]
selection = sco.select(data, {0: statement, 1: identifier})
for k, v in selection.iteritems():
for p in pfield:
element = sco.event.get(v, p)
# Bypass if score statement like carry
# TODO: ^+x, npx, ppx, etc...
if sco_statements_enabled and element in ['.', '+', '<', '!']:
break
# Convert value to float
if convert_numeric:
try:
element = float(element)
except Exception:
pass
deez_args = (element,) + args
selection[k] = sco.event.set(v, p,
function(*deez_args, **kwargs))
return sco.merge(data, selection)
def complex_play(start, measure):
selected = sco.select(measure, {0: 'i'})
# Add 1
selected = selection.operate_numeric(selected, 5, lambda x: x + 1)
# Delay, transpose, swap pan, half amp
s2 = selected.copy()
s2 = selection.operate_numeric(s2, 2, lambda x: x + start + 0.125)
_transpose = lambda x: x * pow(2, 7 / 12.0)
s2 = selection.operate_numeric(s2, 5, _transpose)
s2 = selection.operate_numeric(s2, 6, lambda x: 1.0 - x)
s2 = selection.operate_numeric(s2, 4, lambda x: x * 0.5)
output = []
output.append(sco.merge(measure, selected))
output.append(sco.merge(measure, s2))
return ''.join(output)
def complex_play(start, measure):
selected = sco.select(measure, {0: 'i'})
# Add 1
selected = selection.operate_numeric(selected, 5, lambda x: x + 1)
# Delay, transpose, swap pan, half amp
s2 = selected.copy()
s2 = selection.operate_numeric(s2, 2, lambda x: x + start + 0.125)
_transpose = lambda x: x * pow(2, 7 / 12.0)
s2 = selection.operate_numeric(s2, 5, _transpose)
s2 = selection.operate_numeric(s2, 6, lambda x: 1.0 - x)
s2 = selection.operate_numeric(s2, 4, lambda x: x * 0.5)
output = []
output.append(sco.merge(measure, selected))
output.append(sco.merge(measure, s2))
return ''.join(output)
def simple_mod(start, measure, transpose):
selected = sco.select(measure, {0: 'i'})
# Change start times
selected = selection.operate_numeric(selected, 2, lambda x: x + start)
# Transpose
_transpose = lambda x: x * pow(2, transpose / 12.0)
selected = selection.operate_numeric(selected, 5, _transpose)
return sco.merge(measure, selected)
def simple_mod(start, measure, transpose):
selected = sco.select(measure, {0: 'i'})
# Change start times
selected = selection.operate_numeric(selected, 2, lambda x: x + start)
# Transpose
_transpose = lambda x: x * pow(2, transpose / 12.0)
selected = selection.operate_numeric(selected, 5, _transpose)
return sco.merge(measure, selected)
def score(self, data):
# Apply pfield callbacks
for L in self.p_callbacks:
for cb in L:
data = self._map_process(data, cb.statement, cb.identifier,
cb.pfield, cb.function, *cb.args,
**cb.kwargs)
# Apply time stack
selected = sco.select(data, {0: 'i'})
op = sco.selection.operate_numeric(selected, 2,
lambda x: x + self.slipcue.now())
self.score_data.append(sco.merge(data, op))
def score(self, data):
# Apply pfield callbacks
for L in self.p_callbacks:
for cb in L:
data = self._map_process(data, cb.statement, cb.identifier,
cb.pfield, cb.function, *cb.args,
**cb.kwargs)
# Apply time stack
selected = sco.select(data, {0: 'i'})
op = sco.selection.operate_numeric(selected, 2,
lambda x: x + self.slipcue.now())
self.score_data.append(sco.merge(data, op))
return ''.join(output)
#for i in range(0, 8):
# print simple_mod(i * 4, my_measure, i * 2),
#print complex_play(0, my_measure)
#print complex_play(4, my_measure)
# Serializing functions
f_list = (lambda x: x + 1, lambda x: x * 2)
this_measure = my_measure
selected = sco.select(this_measure, {0: 'i'})
for f in f_list:
selected = selection.operate_numeric(selected, 5, f)
this_measure = sco.merge(this_measure, selected)
print 'this measure', this_measure
# Functions need arguments, specify pfield(s)
# Multiple types of functional pfunc type things:
# do_all(pfield_index_list, pfunc, *args) # processes all ievents
# # in block
# do(pattern, pfield_index_list, [pfunc, *args], ...) # with pattern
'''
def punch(score, *func_args):
this_measure = my_measure
punch(this_measure, [do_all(5, lambda x: (x + y), 1)],
[do({1: 2}, 6, lambda x: 1.0 - x)])
def test(n, score, score_dict, expect):
result = sco.merge(score, score_dict)
did_pass = result == expect
return did_pass, n, 'merge()', str(expect), str(result)
def arpeggiator(score, pattern, pfield_index_list, value_list):
selected = sco.select(score, pattern)
arp = Arpeggiator(value_list)
selected = selection.replace(selected, pfield_index_list, arp.next)
return ''.join(sco.merge(score, selected))
def test(n, score, score_dict, expect):
result = sco.merge(score, score_dict)
did_pass = result == expect
return did_pass, n, 'merge()', str(expect), str(result)
#for i in range(0, 8):
# print simple_mod(i * 4, my_measure, i * 2),
#print complex_play(0, my_measure)
#print complex_play(4, my_measure)
# Serializing functions
f_list = (lambda x: x + 1, lambda x: x * 2)
this_measure = my_measure
selected = sco.select(this_measure, {0: 'i'})
for f in f_list:
selected = selection.operate_numeric(selected, 5, f)
this_measure = sco.merge(this_measure, selected)
print 'this measure', this_measure
# Functions need arguments, specify pfield(s)
# Multiple types of functional pfunc type things:
# do_all(pfield_index_list, pfunc, *args) # processes all ievents
# # in block
# do(pattern, pfield_index_list, [pfunc, *args], ...) # with pattern
'''
def punch(score, *func_args):
this_measure = my_measure
punch(this_measure, [do_all(5, lambda x: (x + y), 1)],
[do({1: 2}, 6, lambda x: 1.0 - x)])
def arpeggiator(score, pattern, pfield_index_list, value_list):
selected = sco.select(score, pattern)
arp = Arpeggiator(value_list)
selected = selection.replace(selected, pfield_index_list, arp.next)
return ''.join(sco.merge(score, selected))
