andres-fr

#!/usr/bin/env python
# -*- coding: utf-8 -*-


"""Combining XDiag with Hutch++.

Copyright (C) 2025  aferro (ORCID: 0000-0003-3830-3595)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by

andres-fr

#!/usr/bin/env python
# -*- coding: utf-8 -*-


"""Exploring out-of-core QR decompositions via dask.

conda create -n dask python=3.10
conda activate dask
pip install numpy
pip install h5py

andres-fr

# -*- coding:utf-8 -*-

"""
Place this script on a directory and convert the .exr files it contains
into np.float32 matrices
"""


import os
import OpenEXR

andres-fr

#!/usr/bin python
# -*- coding:utf-8 -*-


"""
"""


import os
import h5py

andres-fr

#!/usr/bin python
# -*- coding:utf-8 -*-


"""
This module features convenient color logger (wrapping the built-in ``loging.``
class), plus some helper functionality.
"""

andres-fr

################################################################################
### server.py
################################################################################

#!/usr/bin/env python
# -*- coding:utf-8 -*-


"""
Dummy server, interacts with the client receiving, altering and returning

andres-fr

import matplotlib.pyplot as plt
import matplotlib.font_manager as plt_fm

class PltFontManager:
    """
    Sometimes matplotlib finds the system font paths, but setting them can
    still be challenging due to using the wrong name or matplotlib complaining
    about missing elements.

    This manager static class is intended to aid with that, by facilitating

andres-fr

from collections import defaultdict
import random

class SubsetSampler(torch.utils.data.Sampler):
    """
    Like ``torch.utils.data.SubsetRandomsampler``, but without the random,
    and with the possibility of balanced sampling. Samples a subset of the
    given dataset from a given list of indices, without replacement.
    Usage example::

andres-fr

#!/usr/bin/env python
# -*-coding:utf-8-*-


"""
This module contains 2 functions:

* ``cose_recovery``: Implements the L1 compressed sensing program, allowing
  for L2 error tolerance in the constraint.
* ``cose_recovery_mpp``: Parallelized version of ``cose_recovery`` that runs

andres-fr

#!/usr/bin/env python
# -*- coding:utf-8 -*-


"""
!!! WARNING !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

The quantities computed in this gist are wrong. While a correction is
pending, see the following discussion for more details. The TLDR is that
they must be divided by batch_size^2, or use the alternative Cockpit