From 2828292764c569ac2c90538aa4f2af5ce0e45069 Mon Sep 17 00:00:00 2001
From: "Brett M. Morris" <bmmorris@stsci.edu>
Date: Thu, 21 Mar 2024 11:14:21 -0400
Subject: [PATCH] adding bit decoding utils

---
 .../default/plugins/data_quality/dq_utils.py  | 94 +++++++++++++++++++
 1 file changed, 94 insertions(+)

diff --git a/jdaviz/configs/default/plugins/data_quality/dq_utils.py b/jdaviz/configs/default/plugins/data_quality/dq_utils.py
index e1ea1619a0..019fa603a7 100644
--- a/jdaviz/configs/default/plugins/data_quality/dq_utils.py
+++ b/jdaviz/configs/default/plugins/data_quality/dq_utils.py
@@ -1,7 +1,11 @@
 from importlib import resources
 from pathlib import Path
+
+import numpy as np
+from matplotlib.colors import ListedColormap, rgb2hex
 from astropy.table import Table
 
+# paths to CSV files with DQ flag mappings:
 dq_flag_map_paths = {
     'jwst': Path('data', 'data_quality', 'jwst.csv'),
     'roman': Path('data', 'data_quality', 'roman.csv'),
@@ -71,3 +75,93 @@ def write_flag_map(flag_mapping, csv_path, **kwargs):
         table.add_row(row)
 
     table.write(csv_path, format='ascii.csv', **kwargs)
+
+
+def generate_listed_colormap(n_flags, seed=42):
+    """
+    Generate a list of random "light" colors of length ``n_flags``.
+
+    Parameters
+    ----------
+    n_flags : int
+        Number of colors in the listed colormap, should match the
+        number of unique DQ flags (before they're decomposed).
+    seed : int
+        Seed for the random number generator used to
+        draw random colors.
+
+    Returns
+    -------
+    cmap : `~matplotlib.pyplot.colors.ListedColormap`
+        Colormap constructed with ``n_flags`` colors.
+    rgba_colors : list of tuples
+        Random light colors of length ``n_flags``.
+    """
+    rng = np.random.default_rng(seed)
+    default_alpha = 1
+
+    # Generate random colors that are generally "light", i.e. with
+    # RGB values in the upper half of the interval (0, 1):
+    rgba_colors = [
+        tuple(rng.uniform(low=0.5, high=1, size=3).tolist() + [default_alpha])
+        for _ in range(n_flags)
+    ]
+
+    cmap = ListedColormap(rgba_colors)
+
+    # setting `bad` alpha=0 will make NaNs transparent:
+    cmap.set_bad(alpha=0)
+    return cmap, rgba_colors
+
+
+def decompose_bit(bit):
+    """
+    For an integer ``bit``, return a list of the powers of
+    two that sum up to ``bit``.
+
+    Parameters
+    ----------
+    bit : int
+        Sum of powers of two.
+
+    Returns
+    -------
+    powers : list of integers
+        Powers of two which sum to ``bit``.
+    """
+    bit = int(bit)
+    powers = []
+    i = 1
+    while i <= bit:
+        if i & bit:
+            powers.append(int(np.log2(i)))
+        i <<= 1
+    return sorted(powers)
+
+
+def decode_flags(flag_map, unique_flags, rgba_colors):
+    """
+    For a list of unique bits in ``unique_flags``, return a list of
+    dictionaries of the decomposed bits with their names, definitions, and
+    colors defined in ``rgba_colors``.
+
+    Parameters
+    ----------
+    flag_map : dict
+        Flag mapping, such as the ones produced by ``load_flag_map``.
+    unique_flags : list or array
+        Sequence of unique flags which occur in a data quality array.
+    rgba_colors : list of tuples
+        RGBA color tuples, one per unique flag.
+    """
+    decoded_flags = []
+
+    for i, (bit, color) in enumerate(zip(unique_flags, rgba_colors)):
+        decoded_bits = decompose_bit(bit)
+        decoded_flags.append({
+            'flag': int(bit),
+            'decomposed': {bit: flag_map[bit] for bit in decoded_bits},
+            'color': rgb2hex(color),
+        })
+
+    return decoded_flags