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Merge pull request #918 from bendichter/patch-2
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2 parents 63093d2 + de5c0f4 commit 028907e

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neo/rawio/examplerawio.py

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@@ -25,8 +25,8 @@
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* copy paste neo/rawio/tests/test_examplerawio.py and do the same
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3. Step 3 : Create the neo.io class with the wrapper
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* Create a file in neo/io/ that endith with "io.py"
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* Create a that inherits both your RawIO class and BaseFromRaw class
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* Create a file in neo/io/ that ends with "io.py"
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* Create a class that inherits both your RawIO class and BaseFromRaw class
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* copy/paste from neo/io/exampleio.py
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4.Step 4 : IO test
@@ -47,7 +47,7 @@ class ExampleRawIO(BaseRawIO):
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"""
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Class for "reading" fake data from an imaginary file.
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For the user, it give acces to raw data (signals, event, spikes) as they
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For the user, it gives access to raw data (signals, event, spikes) as they
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are in the (fake) file int16 and int64.
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For a developer, it is just an example showing guidelines for someone who wants
@@ -58,11 +58,11 @@ class ExampleRawIO(BaseRawIO):
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* Follow the :ref:`io_guiline`
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This fake IO:
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* have 2 blocks
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* has 2 blocks
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* blocks have 2 and 3 segments
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* have 16 signal_channel sample_rate = 10000
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* have 3 unit_channel
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* have 2 event channel: one have *type=event*, the other have
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* has 16 signal_channels sample_rate = 10000
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* has 3 unit_channels
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* has 2 event channels: one has *type=event*, the other has
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*type=epoch*
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@@ -98,7 +98,7 @@ def _source_name(self):
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def _parse_header(self):
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# This is the central of a RawIO
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# we need to collect in the original format all
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# informations needed for further fast acces
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# informations needed for further fast access
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# at any place in the file
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# In short _parse_header can be slow but
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# _get_analogsignal_chunk need to be as fast as possible
@@ -107,12 +107,12 @@ def _parse_header(self):
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# This is mandatory!!!!
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# gain/offset/units are really important because
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# the scaling to real value will be done with that
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# at the end real_signal = (raw_signal* gain + offset) * pq.Quantity(units)
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# at the end real_signal = (raw_signal * gain + offset) * pq.Quantity(units)
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sig_channels = []
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for c in range(16):
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ch_name = 'ch{}'.format(c)
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# our channel id is c+1 just for fun
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# Note that chan_id should be realated to
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# Note that chan_id should be related to
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# original channel id in the file format
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# so that the end user should not be lost when reading datasets
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chan_id = c + 1
@@ -121,9 +121,9 @@ def _parse_header(self):
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units = 'uV'
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gain = 1000. / 2 ** 16
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offset = 0.
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# group_id isonly for special cases when channel have diferents
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# group_id is only for special cases when channels have different
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# sampling rate for instance. See TdtIO for that.
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# Here this is the general case :all channel have the same characteritics
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# Here this is the general case: all channel have the same characteritics
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group_id = 0
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sig_channels.append((ch_name, chan_id, sr, dtype, units, gain, offset, group_id))
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sig_channels = np.array(sig_channels, dtype=_signal_channel_dtype)

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