* fix the `np.delete` bug
* fix the `np.delete` bug, add unittest code
* increment the version number and update the change log
* update the expected file `delete.py.exp`
* ndarray_set_value: in CircuitPython 9
* mp_obj_slice_indices: ditto
* Use modern MP_REGISTER_MODULE calls: ditto
* use MP_OBJ_SENTINEL to forward to locals dict (was never necessary?)
* Fix -Wunused-variable diagnostic when !ULAB_SUPPORTS_COMPLEX
`o_in` is only used in the SUPPORTS_COMPLEX case, so the variable
definition needs to be moved accordingly.
* update version and changelog
* add bitwise operators
* add build to requirements
* [EDIT] - Tweaked test data and saved test results.
* Tweaked test values for and / or
* [EDIT] - Setting print options to be verbose for test comparisons.
* [EDIT] - Removed call to set_printoptions and added output from ulab instead of numpy. Of note - there seems to be a discrepancy between the numpy and ulab output for one of the left_shift cases.
* [EDIT] - Added newline at end of file for diffing purposes.
* [EDIT] - Added print options back in as output seemed truncated.
---------
Co-authored-by: Zoltán Vörös <zvoros@gmail.com>
Co-authored-by: JamieDouugh <jamie.davies@douugh.com>
* add optional out keyword argument to math functions
* fix the keyword handling in sqrt
* run micropython build on ubuntu 20.04 instead of latest
* fix unused variable error in vector_generic_vector
This is useful for generating FIR filters using code snippets generated at
https://fiiir.com/ (at least those with a rectangular window type; other
window types need additional functions but we can revisit it later if needed)
I think this will come in handy for folks who are using the advanced
features of our audio synthesizer module, synthio.
e.g., the following block now gives highly similar results on ulab
or numpy:
```py
try:
import numpy as np
except:
from ulab import numpy as np
# Example code, computes the coefficients of a low-pass windowed-sinc filter.
# Configuration.
fS = 48000 # Sampling rate.
fL = 4000 # Cutoff frequency.
N = 23 # Filter length, must be odd.
# Compute sinc filter.
h = np.sinc(2 * fL / fS * (np.arange(N) - (N - 1) / 2))
# Normalize to get unity gain.
h /= np.sum(h)
# Applying the filter to a signal s can be as simple as writing
# s = np.convolve(s, h)
* Fix create_arange crashing when stop == start
This is due to len being equal to zero, which made (len - 1) equal to MAX_UINT16
* trailing whitespaces
* implement floor division
* fix 3D, 4D loops
* add missing array declaration in 3D, and 4D
* Add test cases for floor division and fix it for ints (#599)
* Add test cases for floor division
* Fix define name in comment
* Fix floor division of ints
---------
Co-authored-by: Maciej Sokołowski <matemaciek@gmail.com>
Older compilers (eg for esp8266) cannot see that "const uint32_t" is a true
constant at compile time, so use an assigned enum instead.
Don't do this for object representation D because that requires a 64-bit
integer.
Signed-off-by: Damien George <damien@micropython.org>
