feat: add bin_spike_ms to Spiketrain data

synapse/server/nodes/spike_detect.py

@@ -91,5 +91,5 @@ async def run(self):
                     spike_counts.append(spike_count)
 
                 await self.emit_data(
-                    SpiketrainData(t0=data.t0, spike_counts=spike_counts)
+                    SpiketrainData(t0=data.t0, bin_size_ms=self.bin_size_ms, spike_counts=spike_counts)
                 )

synapse/simulator/__init__.py

@@ -1,14 +1,17 @@
 from synapse.api.node_pb2 import NodeType
 from synapse.server.entrypoint import ENTRY_DEFAULTS, main as server
+from synapse.server.nodes.spectral_filter import SpectralFilter
+from synapse.server.nodes.spike_detect import SpikeDetect
 from synapse.server.nodes.stream_in import StreamIn
 from synapse.server.nodes.stream_out import StreamOut
 from synapse.simulator.nodes.electrical_broadband import ElectricalBroadband
 from synapse.simulator.nodes.optical_stimulation import OpticalStimulation
 
-
 SIMULATOR_NODE_OBJECT_MAP = {
   NodeType.kStreamIn: StreamIn,
   NodeType.kStreamOut: StreamOut,
+  NodeType.kSpectralFilter: SpectralFilter,
+  NodeType.kSpikeDetect: SpikeDetect,
   NodeType.kElectricalBroadband: ElectricalBroadband,
   NodeType.kOpticalStimulation: OpticalStimulation
 }

synapse/tests/test_ndtp.py

@@ -287,11 +287,13 @@ def test_ndtp_payload_broadband_large():
 def test_ndtp_payload_spiketrain():
     samples = [0, 1, 2, 3, 2]
 
-    payload = NDTPPayloadSpiketrain(samples)
+    payload = NDTPPayloadSpiketrain(10, samples)
     packed = payload.pack()
     unpacked = NDTPPayloadSpiketrain.unpack(packed)
 
     assert unpacked == payload
+    assert unpacked.bin_size_ms == 10
+    assert list(unpacked.spike_counts) == samples
 
 
 def test_ndtp_header():
@@ -379,7 +381,7 @@ def test_ndtp_message_broadband_large():
 
 def test_ndtp_message_spiketrain():
     header = NDTPHeader(DataType.kSpiketrain, timestamp=1234567890, seq_number=42)
-    payload = NDTPPayloadSpiketrain(spike_counts=[1, 2, 3, 2, 1])
+    payload = NDTPPayloadSpiketrain(bin_size_ms=10, spike_counts=[1, 2, 3, 2, 1])
     message = NDTPMessage(header, payload)
 
     packed = message.pack()

synapse/tests/test_stream_out.py

@@ -140,13 +140,15 @@ def test_packing_spiketrain_data():
 
     sdata = SpiketrainData(
         t0=1234567890,
+        bin_size_ms=10,
         spike_counts=[0, 1, 2, 3, 2, 1, 0],
     )
 
     packed = node._pack(sdata)[0]
     unpacked = NDTPMessage.unpack(packed)
 
     assert unpacked.header.timestamp == sdata.t0
+    assert unpacked.payload.bin_size_ms == sdata.bin_size_ms
     assert len(unpacked.payload.spike_counts) == len(sdata.spike_counts)
 
     assert list(unpacked.payload.spike_counts) == list(sdata.spike_counts)

synapse/utils/ndtp.pyx

@@ -76,12 +76,12 @@ def to_bytes(
     elif byteorder == 'big':
         byteorder_is_little = False
     else:
-        raise ValueError(f"Invalid byteorder: {byteorder}")
+        raise ValueError("Invalid byteorder: " + byteorder)
 
     for py_value in values:
         value = py_value
         if not (min_value <= value <= max_value):
-            raise ValueError(f"Value {value} cannot be represented in {bit_width} bits")
+            raise ValueError("Value " + str(value) + " cannot be represented in " + str(bit_width) + " bits")
 
         # Handle negative values for signed integers
         if is_signed and value < 0:
@@ -144,14 +144,14 @@ def to_ints(
     if isinstance(data, (bytes, bytearray)):
         data_view = data
     else:
-        raise TypeError(f"Unsupported data type: {type(data)}")
+        raise TypeError("Unsupported data type: " + str(type(data)))
 
     cdef Py_ssize_t data_len = len(data_view)
 
     if count > 0 and data_len < (bit_width * count + 7) // 8:
         raise ValueError(
-            f"insufficient data for {count} x {bit_width} bit values "
-            f"(expected {(bit_width * count + 7) // 8} bytes, given {data_len} bytes)"
+            "insufficient data for " + str(count) + " x " + str(bit_width) + " bit values " +
+            "(expected " + str((bit_width * count + 7) // 8) + " bytes, given " + str(data_len) + " bytes)"
         )
 
     cdef int current_value = 0
@@ -163,7 +163,7 @@ def to_ints(
     cdef int value_index = 0
     cdef int max_values = count if count > 0 else (data_len * 8) // bit_width
     if max_values == 0:
-        raise ValueError(f"max_values must be > 0 (got {len(data)} data, {count} count, bit width {bit_width})")
+        raise ValueError("max_values must be > 0 (got " + str(len(data)) + " data, " + str(count) + " count, bit width " + str(bit_width) + ")")
     cdef int[::1] values_array = cython.view.array(shape=(max_values,), itemsize=cython.sizeof(cython.int), format="i")
     cdef int sign_bit = 1 << (bit_width - 1)
     cdef uint8_t byte
@@ -218,7 +218,7 @@ def to_ints(
                         return [values_array[i] for i in range(value_index)], end_bit, data
 
         else:
-            raise ValueError(f"Invalid byteorder: {byteorder}")
+            raise ValueError("Invalid byteorder: " + byteorder)
 
     if bits_in_current_value > 0:
         if bits_in_current_value == bit_width:
@@ -230,7 +230,7 @@ def to_ints(
             value_index += 1
         elif count == 0:
             raise ValueError(
-                f"{bits_in_current_value} bits left over, not enough to form a complete value of bit width {bit_width}"
+                str(bits_in_current_value) + " bits left over, not enough to form a complete value of bit width " + str(bit_width)
             )
 
     if count > 0:
@@ -325,7 +325,7 @@ cdef class NDTPPayloadBroadband:
         cdef int len_data = len(data)
         if len_data < payload_h_size:
             raise ValueError(
-                f"Invalid broadband data size {len_data}: expected at least {payload_h_size} bytes"
+                "Invalid broadband data size " + str(len_data) + ": expected at least " + str(payload_h_size) + " bytes"
             )
 
         cdef int bit_width = data[0] >> 1
@@ -370,10 +370,12 @@ cdef class NDTPPayloadBroadband:
 
 
 cdef class NDTPPayloadSpiketrain:
+    cdef public int bin_size_ms
     cdef public int[::1] spike_counts  # Memoryview of integers
 
-    def __init__(self, spike_counts):
+    def __init__(self, bin_size_ms, spike_counts):
         cdef int size, i
+        self.bin_size_ms = bin_size_ms
         self.spike_counts = None
 
         if isinstance(spike_counts, list):
@@ -403,6 +405,9 @@ cdef class NDTPPayloadSpiketrain:
         # Pack the number of spikes (4 bytes)
         payload += struct.pack(">I", spike_counts_len)
 
+        # Pack the bin_size (1 byte)
+        payload += struct.pack(">B", self.bin_size_ms)
+
         # Pack clamped spike counts
         spike_counts_bytes, _ = to_bytes(
             clamped_counts, NDTPPayloadSpiketrain_BIT_WIDTH, is_signed=False
@@ -415,26 +420,36 @@ cdef class NDTPPayloadSpiketrain:
         if isinstance(data, bytes):
             data = bytearray(data)
 
+        cdef str msg;
         cdef int len_data = len(data)
-        if len_data < 4:
-            raise ValueError(
-                f"Invalid spiketrain data size {len_data}: expected at least 4 bytes"
-            )
+        if len_data < 5:
+            msg = "Invalid spiketrain data size "
+            msg += str(len_data)
+            msg += " bytes: expected at least 5 bytes"
+            raise ValueError(msg)
 
         cdef int num_spikes = struct.unpack(">I", data[:4])[0]
-        cdef bytearray payload = data[4:]
+        cdef int bin_size_ms = struct.unpack(">B", data[4:5])[0]
+        cdef bytearray payload = data[5:]
         cdef int bits_needed = num_spikes * NDTPPayloadSpiketrain_BIT_WIDTH
         cdef int bytes_needed = (bits_needed + 7) // 8
 
         if len(payload) < bytes_needed:
-            raise ValueError("Insufficient data for spike_counts")
+            msg = "Insufficient data for spiketrain data (expected "
+            msg += str(bytes_needed)
+            msg += "bytes for "
+            msg += str(num_spikes)
+            msg += " spikes, got "
+            msg += str(len(payload))
+            msg += ")"
+            raise ValueError(msg)
 
         # Unpack spike_counts
         spike_counts, _, _ = to_ints(
             payload[:bytes_needed], NDTPPayloadSpiketrain_BIT_WIDTH, num_spikes, is_signed=False
         )
 
-        return NDTPPayloadSpiketrain(spike_counts)
+        return NDTPPayloadSpiketrain(bin_size_ms, spike_counts)
 
     def __eq__(self, other):
         if not isinstance(other, NDTPPayloadSpiketrain):
@@ -483,13 +498,13 @@ cdef class NDTPHeader:
         cdef int expected_size = NDTPHeader.STRUCT.size
         if len(data) < expected_size:
             raise ValueError(
-                f"Invalid header size {len(data)}: expected {expected_size}"
+                "Invalid header size " + str(len(data)) + ": expected " + str(expected_size)
             )
 
         version, data_type, timestamp, seq_number = NDTPHeader.STRUCT.unpack(bytes(data[:expected_size]))
         if version != NDTP_VERSION:
             raise ValueError(
-                f"Incompatible version {version}: expected {hex(NDTP_VERSION)}, got {hex(version)}"
+                "Incompatible version " + str(version) + ": expected " + hex(NDTP_VERSION) + ", got " + hex(version)
             )
 
         return NDTPHeader(data_type, timestamp, seq_number)
@@ -566,10 +581,10 @@ cdef class NDTPMessage:
         elif pdtype == DataType.kSpiketrain:
             payload = NDTPPayloadSpiketrain.unpack(pbytes)
         else:
-            raise ValueError(f"unknown data type {pdtype}")
+            raise ValueError("unknown data type " + str(pdtype))
 
         if not NDTPMessage.crc16_verify(data[:-2], crc16_value):
-            raise ValueError(f"CRC16 verification failed (expected {crc16_value})")
+            raise ValueError("CRC16 verification failed (expected " + str(crc16_value) + ")")
 
         msg = NDTPMessage(header, payload)
         msg._crc16 = crc16_value

synapse/utils/ndtp_types.py

@@ -100,11 +100,12 @@ def to_list(self):
 
 
 class SpiketrainData:
-    __slots__ = ["data_type", "t0", "spike_counts"]
+    __slots__ = ["data_type", "t0", "bin_size_ms", "spike_counts"]
 
-    def __init__(self, t0, spike_counts):
+    def __init__(self, t0, bin_size_ms, spike_counts):
         self.data_type = DataType.kSpiketrain
         self.t0 = t0
+        self.bin_size_ms = bin_size_ms
         self.spike_counts = spike_counts
 
     def pack(self, seq_number: int):
@@ -114,7 +115,10 @@ def pack(self, seq_number: int):
                 timestamp=self.t0,
                 seq_number=seq_number,
             ),
-            payload=NDTPPayloadSpiketrain(spike_counts=self.spike_counts),
+            payload=NDTPPayloadSpiketrain(
+                bin_size_ms=self.bin_size_ms,
+                spike_counts=self.spike_counts
+            ),
         )
 
         return [message.pack()]
@@ -123,6 +127,7 @@ def pack(self, seq_number: int):
     def from_ndtp_message(msg: NDTPMessage):
         return SpiketrainData(
             t0=msg.header.timestamp,
+            bin_size_ms=msg.payload.bin_size_ms,
             spike_counts=msg.payload.spike_counts,
         )
 
@@ -132,7 +137,7 @@ def unpack(data):
         return SpiketrainData.from_ndtp_message(u)
 
     def to_list(self):
-        return [self.t0, list(self.spike_counts)]
+        return [self.t0, self.bin_size_ms, list(self.spike_counts)]
 
 
 SynapseData = Union[SpiketrainData, ElectricalBroadbandData]