Datasets:
thisisanshgupta
/
Pycode

Dataset card Data Studio Files
xet
Community
text
stringlengths
0
828
Measure voltage across load of each of the following control board
feedback circuits:
- Reference _(i.e., attenuated high-voltage amplifier output)_.
- Load _(i.e., voltage across DMF device)_.
For each channel in the channel mask. The measured voltage _(i.e.,
``V2``)_ can be used to compute the impedance of the measured load, the
input voltage _(i.e., ``V1``)_, etc.
Parameters
----------
sampling_window_ms : float
Length of sampling window (in milleseconds) for each
RMS/peak-to-peak voltage measurement.
n_sampling_windows_per_channel : int
Number of RMS/peak-to-peak voltage measurements to take.
delay_between_windows_ms : float
Delay (in milleseconds) between RMS/peak-to-peak voltage
measurements.
interleave_samples : bool
If ``True``, interleave RMS/peak-to-peak measurements for analog
channels.
For example, ``[<i_0>, <j_0>, <i_1>, <j_1>, ..., <i_n>, <j_n>]``
where ``i`` and ``j`` correspond to two different analog channels.
If ``False``, all measurements for each analog channel are taken
together. For example, ``[<i_0>, ..., <i_n>, <j_0>, ..., <j_n>]``
where ``i`` and ``j`` correspond to two different analog channels.
rms : bool
If ``True``, a RMS voltage measurement is collected for each
sampling window.
Otherwise, peak-to-peak measurements are collected.
channel_mask : array-like
State of device channels. Length should be equal to the number of
device channels.
Returns
-------
pandas.DataFrame
Table containing one actuation RMS measurement and one device load
impedance measurement per row and the columns ``frequency``,
``voltage``, ``channel_i``, ``V_actuation``, ``capacitance``, and
``impedance``.
Rows are indexed by time since first measurement in frame.
'''
channel_cumsum = np.cumsum(channel_mask)
# figure out how many channels are in the mask, and how many we can scan
# per request
n_channels_in_mask = channel_cumsum[-1]
max_channels_per_call = (self.MAX_PAYLOAD_LENGTH - 4*4) / \
(3*2) / n_sampling_windows_per_channel
# cache the channel mask
self._channel_mask_cache = np.array(channel_mask)
buffer = np.zeros(4)
for i in range(int(math.ceil(n_channels_in_mask / max_channels_per_call))):
# figure out which channels to include in this call
ind = np.logical_and(channel_cumsum >= i * max_channels_per_call,
channel_cumsum < (i + 1) * max_channels_per_call)
# copy those channels from the cached mask
channel_mask_ = np.zeros(len(self._channel_mask_cache), dtype=int)
channel_mask_[ind] = self._channel_mask_cache[ind]
# convert it to a uint8_tVector
channel_mask_uint8 = uint8_tVector()
channel_mask_uint8.extend(channel_mask_)
buffer = buffer[:-4]
buffer = np.concatenate((buffer, np.array(Base.sweep_channels(self,
sampling_window_ms,
n_sampling_windows_per_channel,
delay_between_windows_ms,
interleave_samples,
rms,
channel_mask_uint8))))
return self.sweep_channels_buffer_to_feedback_result(buffer)"
969,"def sweep_channels_slow(self, sampling_window_ms, n_sampling_windows,
delay_between_windows_ms, interleave_samples,
use_rms, channel_mask):
'''
Measure voltage across load of each of the following control board
feedback circuits:
- Reference _(i.e., attenuated high-voltage amplifier output)_.
- Load _(i.e., voltage across DMF device)_.
For each channel in the channel mask. The measured voltage _(i.e.,
``V2``)_ can be used to compute the impedance of the measured load, the
input voltage _(i.e., ``V1``)_, etc.
**N.B.,** Use one firmware call per channel, as opposed to scanning all
channels with a single firmware call as in :meth:`sweep_channels`