h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "pyedflib",
#     "numpy",
# ]
# ///
"""
Generate a synthetic BDF+ file carrying a trigger stream at realistic length.

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "pyedflib",
#     "numpy",
# ]
# ///
"""
Generate a small EDF+C file whose annotations are shaped the awkward ways real writers emit them.

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "pyedflib",
#     "numpy",
# ]
# ///
"""
Generate a small EDF+C file that populates every metadata field the format offers.

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "kilosort==4.1.7",
#     "spikeinterface==0.104.8",
#     "numpy",
#     "torch",
# ]
#
# [[tool.uv.index]]

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "h5py",
#     "numpy",
# ]
# ///
"""Generate small synthetic BRW v3.x (BioCam / 3Brain) files with known sample values.

Source: none. These are written from the format specification, not cut down from a

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Stub two Neurophotometrics (NPM) sessions from the GuPPy sample set.

  sampleData_NPM_3 -> multi_timestamp/        a column-multiplexed recording carrying two timestamp
                      columns, SystemTimestamp (device clock) and ComputerTimestamp (host clock),
                      with four regions in the short G0-G3 naming. Its companion ttls.csv event
                      file is already tiny and is copied verbatim.

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = ["pandas"]
# ///
"""Stub the two Neurophotometrics (NPM) sample sessions down to tiny CI fixtures.

Source: the two raw NPM sessions from gin ophys PR #48 (extracted to ../source/):
  - npm4  = sampleData_NPM_4  (NEWER format: header + `Flags`/LedState column,
            `Region*G` columns; events labelled True/False)
  - npm5  = sampleData_NPM_5  (OLDER format: no header, 4 columns time+3 regions,

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Cut a Neurophotometrics prefix whose startup frame is coded 0.

The startup frame is written three different ways across recordings: 0 here, 7 in the multifile_split
and multi_timestamp files, and 16 in by_column and red_and_green_emission. All three mean the same
thing, a frame that is not a single excitation, so a reader keying on any particular value rather
than on the excitation bits fails on at least one of them.

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Cut a Neurophotometrics prefix carrying red and green emission columns side by side.

Two red and two green regions in the long Region<N><band> naming, so the emission band has to be
read off the column name. Three excitations rather than the usual two, each strobed on its own frame
(17, 18, 20 = 415, 470, 560 with output 0 held high for the whole recording), plus a startup frame
of 16.

h-mayorquin

# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Cut a Neurophotometrics prefix in which one state value covers two excitations.

The inverse of the multi_led_state_per_wavelength case. This rig strobes 470 nm and 560 nm together
in one frame and 415 nm alone in the next, so the state column alternates 6 and 1 and the file
contains no 2 anywhere. The two simultaneous excitations do not interfere because their emission
bands land on opposite halves of the camera sensor, and therefore in different columns: a single 6