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generate_sample_functions.py
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#!/usr/bin/env python
import argparse
import sys
# To use, run this from the top level of the Git repository tree:
# scripts/generate_sample_functions.py
# --sample_autogen_h src/util/sample_autogen.h
BASIC_INDENT = 4
COPY_WITH_GAIN_METHOD_PATTERN = "copy%(i)dWithGain"
def copy_with_gain_method_name(i):
return COPY_WITH_GAIN_METHOD_PATTERN % {"i": i}
RAMPING_GAIN_METHOD_PATTERN = "copy%(i)dWithRampingGain"
def copy_with_ramping_gain_method_name(i):
return RAMPING_GAIN_METHOD_PATTERN % {"i": i}
def method_call(method_name, args):
return "%(method_name)s(%(args)s)" % {
"method_name": method_name,
"args": ", ".join(args),
}
def hanging_indent(base, groups, hanging_suffix, terminator, depth=0):
return map(
lambda line: " " * BASIC_INDENT * depth + line,
map(
"".join,
zip(
[base] + [" " * len(base)] * (len(groups) - 1),
groups,
[hanging_suffix] * (len(groups) - 1) + [terminator],
),
),
)
def write_sample_autogen(output, num_channels):
output.append("#ifndef MIXXX_UTIL_SAMPLEAUTOGEN_H")
output.append("#define MIXXX_UTIL_SAMPLEAUTOGEN_H")
output.append("////////////////////////////////////////////////////////")
output.append("// THIS FILE IS AUTO-GENERATED. DO NOT EDIT DIRECTLY! //")
output.append("// SEE scripts/generate_sample_functions.py //")
output.append("////////////////////////////////////////////////////////")
for i in range(1, num_channels + 1):
copy_with_gain(output, 0, i)
copy_with_ramping_gain(output, 0, i)
output.append("#endif /* MIXXX_UTIL_SAMPLEAUTOGEN_H */")
def copy_with_gain(output, base_indent_depth, num_channels):
def write(data, depth=0):
output.append(
" " * (BASIC_INDENT * (depth + base_indent_depth)) + data
)
header = "static inline void %s(" % copy_with_gain_method_name(
num_channels
)
arg_groups = (
["CSAMPLE* M_RESTRICT pDest"]
+ [
"const CSAMPLE* M_RESTRICT pSrc%(i)d, CSAMPLE_GAIN gain%(i)d"
% {"i": i}
for i in range(num_channels)
]
+ ["int iNumSamples"]
)
output.extend(
hanging_indent(header, arg_groups, ",", ") {", depth=base_indent_depth)
)
for i in range(num_channels):
write("if (gain%(i)d == CSAMPLE_GAIN_ZERO) {" % {"i": i}, depth=1)
if num_channels > 1:
args = (
["pDest"]
+ [
"pSrc%(i)d, gain%(i)d" % {"i": j}
for j in range(num_channels)
if i != j
]
+ ["iNumSamples"]
)
write(
"%s;"
% method_call(
copy_with_gain_method_name(num_channels - 1), args
),
depth=2,
)
else:
write("clear(pDest, iNumSamples);", depth=2)
write("return;", depth=2)
write("}", depth=1)
write("// note: LOOP VECTORIZED.", depth=1)
write("for (int i = 0; i < iNumSamples; ++i) {", depth=1)
terms = [
"pSrc%(i)d[i] * gain%(i)d" % {"i": i} for i in range(num_channels)
]
assign = "pDest[i] = "
output.extend(hanging_indent(assign, terms, " +", ";", depth=2))
write("}", depth=1)
write("}")
def copy_with_ramping_gain(output, base_indent_depth, num_channels):
def write(data, depth=0):
output.append(
" " * (BASIC_INDENT * (depth + base_indent_depth)) + data
)
header = "static inline void %s(" % copy_with_ramping_gain_method_name(
num_channels
)
arg_groups = (
["CSAMPLE* M_RESTRICT pDest"]
+ [
(
"const CSAMPLE* M_RESTRICT pSrc%(i)d, "
"CSAMPLE_GAIN gain%(i)din, CSAMPLE_GAIN gain%(i)dout"
)
% {"i": i}
for i in range(num_channels)
]
+ ["int iNumSamples"]
)
output.extend(
hanging_indent(header, arg_groups, ",", ") {", depth=base_indent_depth)
)
for i in range(num_channels):
write(
(
"if (gain%(i)din == CSAMPLE_GAIN_ZERO && "
"gain%(i)dout == CSAMPLE_GAIN_ZERO) {"
)
% {"i": i},
depth=1,
)
if num_channels > 1:
args = (
["pDest"]
+ [
"pSrc%(i)d, gain%(i)din, gain%(i)dout" % {"i": j}
for j in range(num_channels)
if i != j
]
+ ["iNumSamples"]
)
write(
"%s;"
% method_call(
copy_with_ramping_gain_method_name(num_channels - 1), args
),
depth=2,
)
else:
write("clear(pDest, iNumSamples);", depth=2)
write("return;", depth=2)
write("}", depth=1)
for i in range(num_channels):
write(
(
"const CSAMPLE_GAIN gain_delta%(i)d = "
"(gain%(i)dout - gain%(i)din) / (iNumSamples / 2);"
)
% {"i": i},
depth=1,
)
write(
(
"const CSAMPLE_GAIN start_gain%(i)d = "
"gain%(i)din + gain_delta%(i)d;"
)
% {"i": i},
depth=1,
)
write("// note: LOOP VECTORIZED.", depth=1)
write("for (int i = 0; i < iNumSamples / 2; ++i) {", depth=1)
for i in range(num_channels):
write(
(
"const CSAMPLE_GAIN gain%(i)d = "
"start_gain%(i)d + gain_delta%(i)d * i;"
)
% {"i": i},
depth=2,
)
terms1 = []
terms2 = []
for i in range(num_channels):
terms1.append("pSrc%(i)d[i * 2] * gain%(i)d" % {"i": i})
terms2.append("pSrc%(i)d[i * 2 + 1] * gain%(i)d" % {"i": i})
assign1 = "pDest[i * 2] = "
assign2 = "pDest[i * 2 + 1] = "
output.extend(hanging_indent(assign1, terms1, " +", ";", depth=2))
output.extend(hanging_indent(assign2, terms2, " +", ";", depth=2))
write("}", depth=1)
write("}")
def main(args):
sampleutil_output_lines = []
write_sample_autogen(sampleutil_output_lines, args.max_channels)
output = (
open(args.sample_autogen_h, "w")
if args.sample_autogen_h
else sys.stdout
)
output.write("\n".join(sampleutil_output_lines) + "\n")
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Auto-generate sample processing and mixing functions.",
epilog=(
"Example Call:"
"./generate_sample_functions.py --sample_autogen_h "
),
)
parser.add_argument("--sample_autogen_h")
parser.add_argument("--max_channels", type=int, default=32)
args = parser.parse_args()
main(args)