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seberg / analyze_kwargs.py
Last active April 24, 2020 02:49
Hacky script to analyze python kwargs passing
#!/usr/bin/env python3
from pathlib import Path
import ast
import tokenize
class FindFuncs(ast.NodeVisitor):
# Very dirtily adapted and stolen from NumPy tests...
def __init__(self, filename, include_attributes=True):

Sebastian's Philosophy of the Array Object Types and DTypes

This object is solely for me to organize my thoughts, it probably is a horrific thing if seen by a theoretical computer scientist, and gets a lot of the terminalogy wrong. Type probably usually means a theoretical type, which I think is defined as the set of all possible instances.

@seberg
seberg / README.md
Last active November 27, 2019 18:45
Assessing the NumPy namespace

Downloading both files and running the cells (takes a while) should give you drop downs with the NumPy namespace (dark green names should be the ones that end up in the main numpy namespace).

After clicking one of them, tab will go to the next, and 1, 2, 3 , and 4 will allow to fairly quickly choose how you feel about the function. I left many blank (at least the ones that are not part of the main namespace). Then you press "save" and after gathering a few of them, maybe we can get some nice result out of the data.

Unfortunately the Jupyter widgets are failry slow, although with the keyboard it was not an issue for me.

My take on the categories:

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@seberg
seberg / numpy_logo_design_brainstorm.svg
Created September 20, 2019 23:10
Some brainstorming, based on Inessas designs, as SVG (the SVG is not tidied up, but traced bitmap and just moved around by hand)
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@seberg
seberg / index_normalization_numpy.py
Created June 13, 2019 01:38
Python code to preprocess non-advanced indexes.
import operator
def normalize_index(index, ndim):
"""Does basic index normalization like numpy, disregards advanced indexing.
Parameters
----------
index : tuple
Indexing tuple to normalize
ndim : int
@seberg
seberg / numpy_casting.md
Last active February 15, 2019 19:29
Numpy Casting Rules

Numpy Promotion Table

This table includes the promotion rules for the basic numeric types. The only suprising rule is that 8-byte integers are considered to cast "safely" to f8 (and complex), which also shows up in these promotion rules (If there was an int128, it would be allowed to safely cast to float128!):

i1 u1 i2 u2 i4 u4 i8 u8 f2 f4 f8 f16 c8 c16 c32
@seberg
seberg / guess_numpy_blas.py
Last active April 9, 2020 16:02
Snippet that loads numpy and tries to guess (and give a bit of information) the BLAS/LAPACK implementation loaded at runtime
"""
Simply run the script to try to guess some information about how numpy
is linked.
If there is something odd going on, run/import the script after
your real import of numpy.
All versions tested on Linux, MKL is confusing me a bit since both lower and
upper case versions exist.
@seberg
seberg / map_reduce.py
Created July 26, 2018 17:34
map reduce using nditer
#
# A Map reduce made from ufuncs and with nditer, a C-Api version
# would be very similar (but cleaner in some cases). This still creates
# some unnecessary temporaries, which may or may not slow down things a
# a bit for no reason
#
# WARNING : Mostly untested and I am not sure I would use it except to
# get the idea of how to implement a specialized version maybe.