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Working version of encoder. This reproduces the clicking that happens from end-of-frame, so we will need a new strategy
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kris
parent
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213
encode_audio.py
213
encode_audio.py
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@ -33,6 +33,8 @@ from eta import ETA
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import opcodes
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import lookahead
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# We simulate the speaker voltage trajectory resulting from applying multiple
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# voltage profiles, compute the resulting squared error relative to the target
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@ -99,6 +101,56 @@ def frame_horizon(frame_offset: int, lookahead_steps: int):
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return frame_offset
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class Speaker:
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def __init__(self, sample_rate: float, freq: float, damping: float):
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self.sample_rate = sample_rate
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self.freq = freq
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self.damping = damping
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dt = numpy.float64(1 / sample_rate)
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w = numpy.float64(freq * 2 * numpy.pi * dt)
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d = damping * dt
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e = numpy.exp(d)
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c1 = 2 * e * numpy.cos(w)
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c2 = e * e
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t0 = (1 - 2 * e * numpy.cos(w) + e * e) / (d * d + w * w)
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t = d * d + w * w - numpy.pi * numpy.pi
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t1 = (1 + 2 * e * numpy.cos(w) + e * e) / numpy.sqrt(t * t + 4 * d * d *
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numpy.pi * numpy.pi)
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b2 = (t1 - t0) / (t1 + t0)
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b1 = b2 * dt * dt * (t0 + t1) / 2
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self.c1 = c1
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self.c2 = c2
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self.b1 = b1
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self.b2 = b2
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# print(dt, w, d, e, c1,c2,b1,b2)
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self.scale = numpy.float64(1 / 1000) # TODO: analytic expression
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def evolve(self, y1, y2, voltage1, voltage2, voltages):
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output = numpy.zeros_like(voltages, dtype=numpy.float64)
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x1 = numpy.full((1, voltages.shape[0]), voltage1,
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dtype=numpy.float32)
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x2 = numpy.full((1, voltages.shape[0]), voltage2,
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dtype=numpy.float32)
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for i in range(voltages.shape[1]):
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# print(i)
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y = self.c1 * y1 - self.c2 * y2 + self.b1 * x1 + self.b2 * x2
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output[:, i] = y
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y2 = y1
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y1 = y
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x2 = x1
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x1 = voltages[:, i] # XXX does this really always lag?
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# print(output)
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return output
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def audio_bytestream(data: numpy.ndarray, step: int, lookahead_steps: int,
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sample_rate: int, is_6502: bool):
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"""Computes optimal sequence of player opcodes to reproduce audio data."""
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@ -112,39 +164,60 @@ def audio_bytestream(data: numpy.ndarray, step: int, lookahead_steps: int,
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opcodes.Opcode.END_OF_FRAME, is_6502)), dtype=numpy.float32)]))
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# Starting speaker position and applied voltage.
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position = 0.0
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voltage = -1.0
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# position = 0.0
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voltage1 = voltage2 = -1.0
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toggles = 0
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all_partial_positions = {}
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# Precompute partial_positions so we don't skew ETA during encoding.
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for i in range(2048):
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for voltage in [-1.0, 1.0]:
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opcode_hash, _, voltages = opcodes.candidate_opcodes(
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frame_horizon(i, lookahead_steps), lookahead_steps, is_6502)
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delta_powers, partial_positions = _partial_positions(
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voltage * voltages, step)
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# These matrices usually have more rows than columns, so store
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# then in column-major order which optimizes for this.
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delta_powers = numpy.asfortranarray(delta_powers)
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partial_positions = numpy.asfortranarray(
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partial_positions)
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sp = Speaker(sample_rate, freq=3875, damping=-1210)
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#
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# print(sp.evolve(0, 0, 1.0, 1.0, numpy.full((1, 10000), 1.0)) * sp.scale)
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# assert False
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all_partial_positions[opcode_hash, voltage] = (
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delta_powers, partial_positions)
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# all_partial_positions = {}
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# # Precompute partial_positions so we don't skew ETA during encoding.
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# for i in range(2048):
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# for voltage in [-1.0, 1.0]:
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# opcode_hash, _, voltages = opcodes.candidate_opcodes(
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# frame_horizon(i, lookahead_steps), lookahead_steps, is_6502)
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# print(i, voltages.shape[0])
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# delta_powers, partial_positions = _partial_positions(
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# voltage * voltages, step)
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#
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# # These matrices usually have more rows than columns, so store
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# # then in column-major order which optimizes for this.
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# delta_powers = numpy.asfortranarray(delta_powers)
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# partial_positions = numpy.asfortranarray(
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# partial_positions)
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#
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# all_partial_positions[opcode_hash, voltage] = (
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# delta_powers, partial_positions)
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#
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# opcode_partial_positions = {}
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# all_opcodes = opcodes.Opcode.__members__.values()
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# for op in set(all_opcodes) - {opcodes.Opcode.EXIT}:
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# voltages = opcodes.voltage_schedule(op, is_6502)
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# for voltage in [-1.0, 1.0]:
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# delta_powers, partial_positions = _partial_positions(
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# voltage * voltages, step)
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# assert delta_powers.shape == partial_positions.shape
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# assert delta_powers.shape[-1] == opcodes.cycle_length(op, is_6502)
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# opcode_partial_positions[op, voltage] = (
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# delta_powers, partial_positions, voltage * voltages[-1])
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opcode_partial_positions = {}
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all_opcodes = opcodes.Opcode.__members__.values()
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for op in set(all_opcodes) - {opcodes.Opcode.EXIT}:
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voltages = opcodes.voltage_schedule(op, is_6502)
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for voltage in [-1.0, 1.0]:
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delta_powers, partial_positions = _partial_positions(
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voltage * voltages, step)
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assert delta_powers.shape == partial_positions.shape
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assert delta_powers.shape[-1] == opcodes.cycle_length(op, is_6502)
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opcode_partial_positions[op, voltage] = (
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delta_powers, partial_positions, voltage * voltages[-1])
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# XXX
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# Smoothing window N --> log_2 N bit resolution
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# - 64
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# Maintain last N voltages
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# Lookahead window L
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# Compute all opcodes for window L
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# Compute all voltage schedules for window L
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# Compute moving average over combined voltage schedule and minimize error
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# XXX band pass filter first - to speaker range? no point trying to
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# model frequencies that can't be produced
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# old method was basically an exponential moving average, another way of
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# smoothing square waveform
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total_err = 0.0 # Total squared error of audio output
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frame_offset = 0 # Position in 2048-byte TCP frame
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@ -153,29 +226,42 @@ def audio_bytestream(data: numpy.ndarray, step: int, lookahead_steps: int,
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next_tick = 0 # Value of i at which we should next update eta
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# Keep track of how many opcodes we schedule
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opcode_counts = collections.defaultdict(int)
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y1 = y2 = 0.0 # last 2 speaker positions
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while i < int(dlen / 1):
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# print(i, dlen)
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if i >= next_tick:
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eta.print_status()
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next_tick = int(eta.i * dlen / 1000)
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# Compute all possible opcode sequences for this frame offset
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opcode_hash, candidate_opcodes, _ = opcodes.candidate_opcodes(
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opcode_hash, candidate_opcodes, voltages = opcodes.candidate_opcodes(
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frame_horizon(frame_offset, lookahead_steps), lookahead_steps,
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is_6502)
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all_positions = sp.evolve(y1, y2, voltage1, voltage2, voltage1
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* voltages)
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# print(all_positions, all_positions.shape)
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# Look up the precomputed partial values for these candidate opcode
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# sequences.
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delta_powers, partial_positions = all_partial_positions[opcode_hash,
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voltage]
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# Compute matrix of new speaker positions for candidate opcode
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# sequences.
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all_positions = new_positions(position, partial_positions, delta_powers)
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# delta_powers, partial_positions = all_partial_positions[opcode_hash,
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# voltage]
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# # Compute matrix of new speaker positions for candidate opcode
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# # sequences.
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# all_positions = new_positions(position, partial_positions, delta_powers)
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# opcode_idx, _ = lookahead.moving_average(
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# smoothed_window, voltage * voltages, data[i:i + lookahead_steps],
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# lookahead_steps)
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assert all_positions.shape[1] == lookahead_steps
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# Pick the opcode sequence that minimizes the total squared error
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# relative to the data waveform. This total_error() call is where
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# about 75% of CPU time is spent.
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opcode_idx = numpy.argmin(
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total_error(all_positions, data[i:i + lookahead_steps])).item()
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total_error(
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all_positions * sp.scale, data[i:i + lookahead_steps])).item()
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# Next opcode
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opcode = candidate_opcodes[opcode_idx][0]
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opcode_length = opcodes.cycle_length(opcode, is_6502)
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@ -183,24 +269,36 @@ def audio_bytestream(data: numpy.ndarray, step: int, lookahead_steps: int,
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toggles += opcodes.TOGGLES[opcode]
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# Apply this opcode to evolve the speaker position
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delta_powers, partial_positions, last_voltage = \
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opcode_partial_positions[opcode, voltage]
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all_positions = new_positions(position, partial_positions, delta_powers)
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assert len(all_positions) == opcode_length
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voltage = last_voltage
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position = all_positions[-1]
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total_err += total_error(
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all_positions, data[i:i + opcode_length]).item()
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opcode_voltages = (voltage1 * opcodes.voltage_schedule(
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opcode, is_6502)).reshape((1, -1))
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all_positions = sp.evolve(y1, y2, voltage1, voltage2, opcode_voltages)
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yield opcode
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# delta_powers, partial_positions, last_voltage = \
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# opcode_partial_positions[opcode, voltage]
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# all_positions = new_positions(position, partial_positions, delta_powers)
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assert all_positions.shape[0] == 1
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assert all_positions.shape[1] == opcode_length
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voltage1 = opcode_voltages[0, -1]
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voltage2 = opcode_voltages[0, -2]
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y1 = all_positions[0, -1]
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y2 = all_positions[0, -2]
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# print(y1, y2, all_positions[0] * sp.scale)
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total_err += total_error(
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all_positions[0] * sp.scale, data[i:i + opcode_length]).item()
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# print(all_positions[0] * sp.scale, data[i:i + opcode_length])
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for v in all_positions[0]:
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yield v * sp.scale
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# print(v * sp.scale)
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i += opcode_length
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frame_offset = (frame_offset + 1) % 2048
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# Make sure we have at least 2k left in stream so player will do a
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# complete read.
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for _ in range(frame_offset % 2048, 2048):
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yield opcodes.Opcode.EXIT
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# for _ in range(frame_offset % 2048, 2048):
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# yield opcodes.Opcode.EXIT
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eta.done()
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print("Total error %f" % total_err)
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toggles_per_sec = toggles / dlen * sample_rate
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@ -226,6 +324,9 @@ def preprocess(
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return data
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import soundfile as sf
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--clock", choices=['pal', 'ntsc'],
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@ -258,12 +359,20 @@ def main():
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# 16/14 as long.
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sample_rate = 1015657 if args.clock == 'pal' else 1020484 # NTSC
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with open(args.output, "wb+") as f:
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for opcode in audio_bytestream(
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preprocess(args.input, sample_rate, args.normalization,
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args.norm_percentile), args.step_size,
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args.lookahead_cycles, sample_rate, args.cpu == '6502'):
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f.write(bytes([opcode.value]))
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# with open(args.output, "wb+") as f:[d20+
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output = numpy.array(list(audio_bytestream(
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preprocess(args.input, sample_rate, args.normalization,
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args.norm_percentile), args.step_size,
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args.lookahead_cycles, sample_rate, args.cpu == '6502')),
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dtype=numpy.float32)
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output_rate = 44100 # int(sample_rate / 4)
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output = librosa.resample(output, orig_sr=sample_rate,
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target_sr=output_rate)
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with sf.SoundFile(
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args.output, "w", output_rate, channels=1, format='WAV') \
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as f:
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f.write(output)
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# f.write(bytes([opcode.value]))
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if __name__ == "__main__":
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@ -9,40 +9,40 @@ class Opcode(enum.Enum):
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TICK_09 = 0x09
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TICK_0c = 0x0c
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TICK_0f = 0x0f
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TICK_10 = 0x10
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TICK_17 = 0x17
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TICK_1a = 0x1a
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TICK_1b = 0x1b
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TICK_23 = 0x23
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TICK_26 = 0x26
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TICK_12 = 0x12
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TICK_14 = 0x14
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TICK_1f = 0x1f
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TICK_24 = 0x24
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TICK_27 = 0x27
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TICK_2a = 0x2a
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TICK_2e = 0x2e
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TICK_31 = 0x31
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TICK_2f = 0x2f
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TICK_32 = 0x32
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TICK_35 = 0x35
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TICK_3a = 0x3a
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TICK_3d = 0x3d
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TICK_46 = 0x46
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TICK_49 = 0x49
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TICK_4c = 0x4c
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TICK_51 = 0x51
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TICK_54 = 0x54
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TICK_57 = 0x57
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TICK_5d = 0x5d
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TICK_67 = 0x67
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TICK_72 = 0x72
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TICK_7c = 0x7c
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TICK_87 = 0x87
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TICK_34 = 0x34
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TICK_3b = 0x3b
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TICK_3e = 0x3e
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TICK_40 = 0x40
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TICK_47 = 0x47
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TICK_4a = 0x4a
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TICK_4b = 0x4b
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TICK_53 = 0x53
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TICK_56 = 0x56
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TICK_62 = 0x62
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TICK_6a = 0x6a
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TICK_6d = 0x6d
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TICK_75 = 0x75
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TICK_80 = 0x80
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TICK_8a = 0x8a
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TICK_8b = 0x8b
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TICK_91 = 0x91
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TICK_94 = 0x94
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TICK_95 = 0x95
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TICK_9c = 0x9c
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TICK_a5 = 0xa5
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EXIT = 0xaf
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SLOWPATH = 0xb2
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TICK_9f = 0x9f
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TICK_a2 = 0xa2
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TICK_a4 = 0xa4
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TICK_ae = 0xae
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TICK_b5 = 0xb5
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TICK_b8 = 0xb8
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TICK_bf = 0xbf
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TICK_c9 = 0xc9
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EXIT = 0xd2
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END_OF_FRAME = 0xd5
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VOLTAGE_SCHEDULE = {
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@ -50,38 +50,80 @@ VOLTAGE_SCHEDULE = {
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Opcode.TICK_03: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
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Opcode.TICK_06: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
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Opcode.TICK_09: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
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Opcode.TICK_0c: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
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Opcode.TICK_0f: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
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Opcode.TICK_10: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
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Opcode.TICK_17: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
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Opcode.TICK_1a: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
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Opcode.TICK_1b: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
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Opcode.TICK_23: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
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Opcode.TICK_26: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
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Opcode.TICK_27: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_2a: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_2e: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_31: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_32: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_35: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_3a: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_3d: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_46: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_49: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_4c: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_51: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_54: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_57: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_5d: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_67: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_72: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_7c: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_87: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_8a: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_8b: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_91: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_94: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_95: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_9c: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_a5: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_0c: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_0f: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_12: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_14: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_1f: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_24: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_27: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_2a: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_2f: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_32: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_34: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_3b: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_3e: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_40: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_47: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_4a: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_4b: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_53: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_56: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_62: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_6a: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_6d: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_75: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_80: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_8a: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_95: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_9f: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_a2: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_a4: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_ae: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_b5: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_b8: numpy.array((1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_bf: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
Opcode.TICK_c9: numpy.array((1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0), dtype=numpy.float32),
|
||||
}
|
||||
|
||||
|
||||
TOGGLES = {
|
||||
Opcode.TICK_00: 3,
|
||||
Opcode.TICK_03: 2,
|
||||
Opcode.TICK_06: 1,
|
||||
Opcode.TICK_09: 0,
|
||||
Opcode.TICK_0c: 2,
|
||||
Opcode.TICK_0f: 1,
|
||||
Opcode.TICK_12: 0,
|
||||
Opcode.TICK_14: 0,
|
||||
Opcode.TICK_1f: 0,
|
||||
Opcode.TICK_24: 2,
|
||||
Opcode.TICK_27: 1,
|
||||
Opcode.TICK_2a: 0,
|
||||
Opcode.TICK_2f: 2,
|
||||
Opcode.TICK_32: 1,
|
||||
Opcode.TICK_34: 1,
|
||||
Opcode.TICK_3b: 2,
|
||||
Opcode.TICK_3e: 1,
|
||||
Opcode.TICK_40: 1,
|
||||
Opcode.TICK_47: 2,
|
||||
Opcode.TICK_4a: 1,
|
||||
Opcode.TICK_4b: 1,
|
||||
Opcode.TICK_53: 2,
|
||||
Opcode.TICK_56: 1,
|
||||
Opcode.TICK_62: 1,
|
||||
Opcode.TICK_6a: 2,
|
||||
Opcode.TICK_6d: 1,
|
||||
Opcode.TICK_75: 2,
|
||||
Opcode.TICK_80: 2,
|
||||
Opcode.TICK_8a: 2,
|
||||
Opcode.TICK_95: 2,
|
||||
Opcode.TICK_9f: 1,
|
||||
Opcode.TICK_a2: 0,
|
||||
Opcode.TICK_a4: 0,
|
||||
Opcode.TICK_ae: 0,
|
||||
Opcode.TICK_b5: 1,
|
||||
Opcode.TICK_b8: 0,
|
||||
Opcode.TICK_bf: 1,
|
||||
Opcode.TICK_c9: 1,
|
||||
}
|
||||
|
|
|
|||
|
|
@ -7,126 +7,145 @@ tick_06: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
|||
tick_09: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
JMP (WDATA)
|
||||
|
||||
tick_0c: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
tick_0c: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_0f: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_0f: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_12: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA zpdummy
|
||||
tick_14: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
tick_10: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
JMP (WDATA)
|
||||
|
||||
STA $C030
|
||||
STA $C030
|
||||
NOP
|
||||
tick_1f: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA zpdummy
|
||||
JMP (WDATA)
|
||||
|
||||
tick_24: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_27: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_2a: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_2f: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_32: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA zpdummy
|
||||
tick_34: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_3b: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_3e: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA zpdummy
|
||||
tick_40: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
NOP
|
||||
STA $C030
|
||||
JMP (WDATA)
|
||||
|
||||
tick_17: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
tick_47: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_1a: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_4a: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
NOP
|
||||
tick_1b: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_4b: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
STA zpdummy
|
||||
JMP (WDATA)
|
||||
|
||||
tick_53: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_56: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
NOP
|
||||
STA $C030
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
STA $C030
|
||||
NOP
|
||||
tick_62: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA zpdummy
|
||||
STA $C030
|
||||
JMP (WDATA)
|
||||
|
||||
tick_23: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
tick_6a: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_26: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_6d: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
NOP
|
||||
tick_27: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_2a: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_2e: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_31: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
NOP
|
||||
tick_32: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_35: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA zpdummy
|
||||
JMP (WDATA)
|
||||
|
||||
tick_3a: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_3d: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA zpdummy
|
||||
STA $C030
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_46: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_49: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_4c: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_51: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_54: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_57: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
STA zpdummy
|
||||
JMP (WDATA)
|
||||
|
||||
tick_5d: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
NOP
|
||||
STA $C030
|
||||
JMP (WDATA)
|
||||
|
||||
tick_67: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
STA zpdummy
|
||||
STA $C030
|
||||
JMP (WDATA)
|
||||
|
||||
tick_72: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
STA $C030
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_7c: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
tick_75: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
STA $C030
|
||||
STA zpdummy
|
||||
JMP (WDATA)
|
||||
|
||||
tick_87: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_80: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
STA $C030
|
||||
tick_8a: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
tick_8b: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_91: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_8a: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
tick_94: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
tick_95: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
NOP
|
||||
STA zpdummy
|
||||
STA $C030
|
||||
JMP (WDATA)
|
||||
|
||||
tick_9c: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_95: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA $C030
|
||||
NOP
|
||||
NOP
|
||||
NOP
|
||||
STA $C030
|
||||
JMP (WDATA)
|
||||
|
||||
tick_a5: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
tick_9f: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
NOP
|
||||
NOP
|
||||
tick_a2: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA zpdummy
|
||||
tick_a4: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
; 175 bytes
|
||||
STA $C030
|
||||
NOP
|
||||
tick_ae: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
STA zpdummy
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_b5: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
tick_b8: ; voltages (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
|
||||
NOP
|
||||
NOP
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_bf: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
STA zpdummy
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
tick_c9: ; voltages (1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0)
|
||||
STA $C030
|
||||
NOP
|
||||
NOP
|
||||
NOP
|
||||
JMP (WDATA)
|
||||
|
||||
; 210 bytes
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user