2019-12-03 23:00:54 +00:00
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import numpy
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lookup_tables = []
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lookup_tables_32 = []
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# linear to exponential conversion
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values = []
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2020-02-18 00:56:45 +00:00
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size = 512.0
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for x in range(1, int(size) + 1):
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values.append(numpy.power(x / 512.0, 2) * size)
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2019-12-03 23:00:54 +00:00
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lookup_tables.append(('linear_to_exp', values))
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2019-12-03 23:44:46 +00:00
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# Left pan Lookup table
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2020-02-18 00:56:45 +00:00
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l_pan = numpy.arange(0, 512)
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r_pan = numpy.arange(0, 512)
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2019-12-03 23:44:46 +00:00
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2020-02-18 00:56:45 +00:00
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l_pan = numpy.sin((l_pan / 512.0) * (numpy.pi / 2.0))
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r_pan = numpy.cos((r_pan / 512.0) * (numpy.pi / 2.0))
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2019-12-03 23:44:46 +00:00
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2020-02-18 00:56:45 +00:00
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l_pan = numpy.round(l_pan * 512)
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r_pan = numpy.round(r_pan * 512)
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2019-12-03 23:44:46 +00:00
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2020-02-18 00:56:45 +00:00
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r_pan[511] = 0 # dirty fix
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2019-12-03 23:44:46 +00:00
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lookup_tables.append(('left_sin_pan', l_pan))
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lookup_tables.append(('right_cos_pan', r_pan))
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