fix tags in v1.3.0 FF themes, outline CLI tool

.gitignore

@@ -22,3 +22,4 @@ archive/
 
 notebooks/color_spaces_manyview.ipynb
 notebooks/oklch_srgb_spherical.ipynb
+notebooks/v1.4.0/

monobiome/constants.py

@@ -0,0 +1,157 @@
+import numpy as np
+
+# SET LIGHTNESS CONTROL POINTS
+# L_points = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 98]
+L_points = list(range(10, 98+1))
+
+# FIXED MONOBIOME PARAMETERS
+L_resolution = 5  # step size along lightness dim
+L_space = np.arange(0, 100+L_resolution, L_resolution)
+
+monotone_C_map = {
+    "alpine": 0,
+    "badlands": 0.011,
+    "chaparral": 0.011,
+    "savanna": 0.011,
+    "grassland": 0.011,
+    "tundra": 0.011,
+}
+
+h_weights = {
+    "red": 3.0,
+    "orange": 3.8,  # 3.6
+    "yellow": 3.8,  # 4.0
+    "green": 3.8,
+    "blue": 3.4,  # 3.8
+}
+h_L_offsets = {
+    "red": 0,  # -1,
+    "orange": -5.5,  # -3,
+    "yellow": -13.5,  # -8
+    "green": -11,  # -8
+    "blue": 10,  # 14
+}
+h_C_offsets = {
+    "red": 0,  # 0
+    "orange": -0.01,  # -0.02
+    "yellow": -0.052,  # -0.08
+    "green": -0.088,  # -0.105
+    "blue": 0.0,  # 0.01
+}
+
+monotone_h_map = {
+    "alpine": 0,
+    "badlands": 29,
+    "chaparral": 62.5,
+    "savanna": 104,
+    "grassland": 148,
+    "tundra": 262,
+}
+accent_h_map = {
+    "red": 29,
+    "orange": 62.5,
+    "yellow": 104,
+    "green": 148,
+    "blue": 262,
+}
+h_map = {**monotone_h_map, **accent_h_map}
+
+
+v111_L_space = list(range(15, 95+1, 5))
+v111_hC_points = {
+    "red": [
+        0.058,
+        0.074,
+        0.092,
+        0.11,
+        0.128,
+        0.147,
+        0.167,
+        0.183,
+        0.193,
+        0.193,
+        0.182,
+        0.164,
+        0.14,
+        0.112,
+        0.081,
+        0.052,
+        0.024,
+    ],
+    "orange": [
+        0.030,
+        0.038,
+        0.046,
+        0.058,
+        0.07,
+        0.084,
+        0.1,
+        0.114,
+        0.125,
+        0.134,
+        0.138,
+        0.136,
+        0.128,
+        0.112,
+        0.092,
+        0.064,
+        0.032,
+    ],
+    "yellow": [
+        0.02,
+        0.024,
+        0.03,
+        0.036,
+        0.044,
+        0.05,
+        0.06,
+        0.068,
+        0.076,
+        0.082,
+        0.088,
+        0.088,
+        0.086,
+        0.082,
+        0.072,
+        0.058,
+        0.04,
+    ],
+    "green": [
+        0.0401,
+        0.048,
+        0.056,
+        0.064,
+        0.072,
+        0.08,
+        0.09,
+        0.098,
+        0.104,
+        0.108,
+        0.11,
+        0.108,
+        0.102,
+        0.094,
+        0.084,
+        0.072,
+        0.05,
+    ],
+    "blue": [
+        0.06,
+        0.072,
+        0.084,
+        0.096,
+        0.106,
+        0.116,
+        0.124,
+        0.13,
+        0.132,
+        0.128,
+        0.122,
+        0.11,
+        0.096,
+        0.08,
+        0.064,
+        0.044,
+        0.023,
+    ],
+}

monobiome/curves.py

@@ -0,0 +1,114 @@
+import json
+from pathlib import Path
+from functools import cache
+
+import numpy as np
+
+from pprint import pprint
+from coloraide import Color
+
+from monobiome.constants import (
+    L_points,
+    L_resolution,
+    L_space,
+
+    monotone_C_map,
+    h_weights,
+    h_L_offsets,
+    h_C_offsets,
+
+    monotone_h_map,
+    accent_h_map,
+    h_map,
+)
+
+
+@cache
+def max_C_Lh(L, h, space='srgb', eps=1e-6, tol=1e-9):
+    '''
+    Binary search for max chroma at fixed lightness and hue
+
+    Parameters:
+        L: lightness percentage
+    '''
+    def C_in_gamut(C):
+        return Color('oklch', [L/100, C, h]).convert(space).in_gamut(tolerance=tol)
+
+    lo, hi = 0.0, 0.1
+    while C_in_gamut(hi):
+        hi *= 2
+    while hi - lo > eps:
+        m = (lo + hi) / 2
+        lo, hi = (m, hi) if C_in_gamut(m) else (lo, m)
+
+    Cmax = lo
+    # c_oklch = Color('oklch', [L, Cmax, h])
+    # c_srgb  = c_oklch.convert('srgb')
+    
+    return Cmax
+
+def quad_bezier_rational(P0, P1, P2, w, t):
+    t = np.asarray(t)[:, None]
+    num = (1-t)**2*P0 + 2*w*(1-t)*t*P1 + t**2*P2
+    den = (1-t)**2 + 2*w*(1-t)*t + t**2
+    
+    return num/den
+    
+def bezier_y_at_x(P0, P1, P2, w, x_query, n=400):
+    t = np.linspace(0, 1, n)
+    B = quad_bezier_rational(P0, P1, P2, w, t)
+    x_vals, y_vals = B[:, 0], B[:, 1]
+    
+    return np.interp(x_query, x_vals, y_vals)
+
+
+# compute C max values over each point in L space
+h_Lspace_Cmax = {
+    h_str: [max_C_Lh(_L, _h) for _L in L_space]
+    for h_str, _h in h_map.items()
+}
+
+# compute *unbounded* chroma curves for all hues
+h_L_points_C = {}
+h_ctrl_L_C = {}
+
+for h_str, _h in monotone_h_map.items():
+    h_L_points_C[h_str] = np.array([monotone_C_map[h_str]]*len(L_points))
+    
+for h_str, _h in accent_h_map.items():
+    Lspace_Cmax = h_Lspace_Cmax[h_str]
+    
+    # get L value of max chroma; will be a bezier control
+    L_Cmax_idx = np.argmax(Lspace_Cmax)
+    L_Cmax = L_space[L_Cmax_idx]
+
+    # offset control point by any preset x-shift
+    L_Cmax += h_L_offsets[h_str]
+
+    # and get max C at the L offset
+    Cmax = max_C_Lh(L_Cmax, _h)
+
+    # set 3 control points; shift by any global linear offest
+    C_offset = h_C_offsets.get(h_str, 0)
+    
+    p_0 = np.array([0, 0])
+    p_Cmax = np.array([L_Cmax, Cmax + C_offset])
+    p_100 = np.array([100, 0])
+    
+    B_L_points = bezier_y_at_x(p_0, p_Cmax, p_100, h_weights.get(h_str, 1), L_points)
+    h_L_points_C[h_str] = B_L_points
+    h_ctrl_L_C[h_str] = np.vstack([p_0, p_Cmax, p_100])
+
+# compute full set of final chroma curves; limits every point to in-gamut max
+h_LC_color_map = {}
+h_L_points_Cstar = {}
+
+for h_str, L_points_C in h_L_points_C.items():
+    _h = h_map[h_str]
+
+    h_L_points_Cstar[h_str] = [
+        max(0, min(_C, max_C_Lh(_L, _h)))
+        for _L, _C in zip(L_points, L_points_C)
+    ]
+
+# if __name__ == "__main__":

monobiome/plotting.py

@@ -0,0 +1,131 @@
+import matplotlib.pyplot as plt
+from scipy.interpolate import interp1d, CubicSpline, BSpline
+
+from monobiome.constants import (
+    L_points,
+    L_space,
+    h_weights,
+    monotone_h_map,
+    accent_h_map,
+    h_map,
+)
+from monobiome.curves import (
+    h_L_points_Cstar,
+    h_Lspace_Cmax,
+)
+
+ax_h_map = {}
+fig, axes = plt.subplots(
+    len(monotone_h_map),
+    1,
+    sharex=True,
+    sharey=True,
+    figsize=(4, 8)
+)
+
+for i, h_str in enumerate(h_L_points_Cstar):
+    _h = h_map[h_str]
+    L_points_Cstar = h_L_points_Cstar[h_str]
+    L_space_Cmax = h_Lspace_Cmax[h_str]
+    
+    if _h not in ax_h_map:
+        ax_h_map[_h] = axes[i]
+    ax = ax_h_map[_h]
+
+    # plot Cmax and Cstar
+    ax.plot(L_space, L_space_Cmax, c="b", alpha=0.2)
+    ax.plot(L_points, L_points_Cstar, alpha=0.7)
+    
+    ax.title.set_text(f"Hue [${_h}$]")
+    
+axes[-1].set_xlabel("Lightness (%)")
+axes[-1].set_xticks([L_points[0], L_points[-1]])
+
+fig.tight_layout()
+fig.subplots_adjust(top=0.9)
+
+plt.suptitle("$C^*$ curves for hue groups")
+plt.show()
+
+
+
+ax_h_map = {}
+fig, axes = plt.subplots(
+    len(monotone_h_map),
+    1,
+    sharex=True,
+    sharey=True,
+    figsize=(5, 10)
+)
+
+for i, h_str in enumerate(h_L_points_Cstar):
+    _h = h_map[h_str]
+    L_points_Cstar = h_L_points_Cstar[h_str]
+    L_space_Cmax = h_Lspace_Cmax[h_str]
+    
+    if _h not in ax_h_map:
+        ax_h_map[_h] = axes[i]
+    ax = ax_h_map[_h]
+
+    # plot Cmax and Cstar
+    ax.plot(L_space, L_space_Cmax, c="b", alpha=0.2, label='Cmax')
+    ax.plot(L_points, L_points_Cstar, alpha=0.7, label='C*')
+
+    if h_str in v111_hC_points:
+        ax.scatter(v111_L_space, v111_hC_points[h_str], s=4, label='Cv111')
+        
+    if h_str in h_ctrl_L_C:
+        cpts = h_ctrl_L_C[h_str]
+        cpt_x, cpt_y = cpts[:, 0], cpts[:, 1]
+        h_w = h_weights.get(h_str, 1)
+        
+        P0, P1, P2 = cpts[0], cpts[1], cpts[2]
+        d0 = 2 * h_w * (P1 - P0)
+        d2 = 2 * h_w * (P2 - P1)
+
+        handle_scale = 0.25
+        H0 = P0 + handle_scale * d0
+        H2 = P2 - handle_scale * d2
+    
+        # ax.plot([P0[0], H0[0]], [P0[1], H0[1]], color='tab:blue', lw=1)
+        # ax.plot([P2[0], H2[0]], [P2[1], H2[1]], color='tab:orange', lw=1)
+        
+        ax.plot(cpt_x, cpt_y, '--', color='gray', lw=1, label='Bezier polygon')
+        ax.scatter(cpt_x, cpt_y, color='red', zorder=5, s=2, label='Control points')
+        
+    ax.title.set_text(f"Hue [${_h}$]")
+    
+axes[-1].set_ylabel("Chroma (C)")
+axes[-1].set_xlabel("Lightness (%)")
+axes[-1].set_xticks([L_points[0], 50, 65, L_points[-1]])
+
+fig.tight_layout()
+fig.subplots_adjust(top=0.9)
+
+handles, labels = axes[-1].get_legend_handles_labels()
+unique = dict(zip(labels, handles))
+fig.legend(unique.values(), unique.keys(), loc='lower center', bbox_to_anchor=(0.5, -0.06), ncol=3)
+
+plt.suptitle("$C^*$ curves for hue groups + v111 5% lightness")
+plt.show()
+
+
+
+
+from numpy import arctan2, degrees
+
+fig, ax = plt.subplots(1, 1, figsize=(8, 6))
+
+for h_str in h_L_points_Cstar:
+    if h_str not in accent_h_map:
+        continue
+    ax.fill_between(L_points, h_L_points_Cstar[h_str], alpha=0.2, color='grey', label=h_str)
+
+    x, y = L_points, h_L_points_Cstar[h_str]
+    n = int(0.5*len(x))
+    ax.text(x[n], y[n]-0.01, h_str, rotation=10, va='center', ha='left')
+    
+ax.set_xlabel("Lightness (%)")
+ax.set_xticks([L_points[0], 45, 50, 55, 60, 65, 70, L_points[-1]])
+plt.suptitle("$C^*$ curves (v1.3.0)")
+fig.show()

monobiome/schemes.py

@@ -0,0 +1,140 @@
+def compute_dma_map(dT, metric=None):
+    """
+    For threshold `dT`, compute the nearest accent shades
+    that exceed that threshold for every monotone shade.
+
+    Returns:
+
+    Map like
+    { "alpine": {
+        "oklch( ... )": {
+            "red": *nearest oklch >= dT from M base*
+    """
+
+    if metric is None:
+        metric = lambda mc,ac: mc.distance(ac, space="oklch")
+    
+    oklch_color_map = {
+        c_name: [Color(c_str) for c_str in c_str_dict.values()]
+        for c_name, c_str_dict in oklch_hL_dict.items()
+    }
+    
+    dT_mL_acol_map = {}
+    for m_name in monotone_h_map:
+        mL_acol_map = {}
+        m_colors = oklch_color_map[m_name]
+        
+        for m_color in m_colors:
+            acol_min_map = {}
+            
+            for a_name in accent_h_map:
+                a_colors = oklch_color_map[a_name]
+                oklch_dists = filter(
+                    lambda d: (d[1] - dT) > 0,
+                    [
+                        (ac, metric(m_color, ac))
+                        for ac in a_colors
+                    ]
+                )
+                oklch_dists = list(oklch_dists)
+                if oklch_dists:
+                    min_a_color = min(oklch_dists, key=lambda t: t[1])[0]
+                    acol_min_map[a_name] = min_a_color
+    
+            # make sure the current monotone level has *all* accents; o/w ignore
+            if len(acol_min_map) < len(accent_h_map):
+                continue
+
+            mL = m_color.coords()[0]
+            mL_acol_map[int(mL*100)] = acol_min_map
+        dT_mL_acol_map[m_name] = mL_acol_map
+    return dT_mL_acol_map
+
+
+
+    
+
+
+mode = "dark"  # ["dark", "light"]
+biome = "alpine"  # [ ... ]
+metric = "wcag"  # ["wcag", "oklch"]
+metric_map = {
+    "wcag": lambda mc,ac: ac.contrast(mc, method='wcag21'),
+    "oklch": lambda mc,ac: mc.distance(ac, space="oklch"),
+}
+metric_func = metric_map[metric]
+
+term_color_map = {
+    "red": "red",
+    "organge": "orange",
+    "yellow": "yellow",
+    "green": "green",
+    "cyan": "green",
+    "blue": "blue",
+    "violet": "blue",
+    "magenta": "red",
+}
+
+L = 20
+d = 4.5
+I = 5
+fg_gap = 50
+grey_gap = 30
+
+dT_mL_acol_map = compute_dma_map(d, metric=metric_func)
+Lma_map = {
+    m_name: mL_acol_dict[L]
+    for m_name, mL_acol_dict in dT_mL_acol_map.items()
+    if L in mL_acol_dict
+}
+
+# the `mL_acol_dict` only includes lightnesses where all accent
+# colors were within threshold. Coverage here will be partial if,
+# at the `mL`, there is some monotone base that doesn't have all
+# accents within threshold. This can happen at the edge, e.g., alpine@L15
+# has all accents w/in the distance, but the red accent was too far under
+# tundra@L15, so there's no entry. This particular case is fairly rare; it's
+# more likely that *all* monotones are undefined. Either way, both such
+# cases lead to partial scheme coverage.
+if len(Lma_map) < len(monotone_h_map):
+    print(f"Warning: partial scheme coverage for {mL=}@{dT=}")
+if biome not in Lma_map:
+    print(f"Biome {biome} unable to meet {metric} constraints")
+accent_colors = Lma_map.get(biome, {})
+
+scheme_pairs = []
+for i in range(4):
+    scheme_pairs.append(
+        (
+            f"bg{i}",
+            f"f{{{{{biome}.l{L+i*I}}}}}"
+        )
+    )
+for i in range(4):
+    scheme_pairs.append(
+        (
+            f"fg{3-i}",
+            f"f{{{{{biome}.l{fg_gap+L+i*I}}}}}"
+        )
+    )
+for term_color, mb_accent in term_color_map.items():
+    aL = int(100*accent_colors[mb_accent].coords()[0])
+    scheme_pairs.append(
+        (
+            f"{term_color}",
+            f"f{{{{{mb_accent}.l{aL}}}}}"
+        )
+    )
+
+term_fg_gap = 60
+scheme_pairs.extend([
+    ("background", f"f{{{{{biome}.l{L}}}}}"),
+    ("selection_bg", f"f{{{{{biome}.l{L+I}}}}}"),
+    ("selection_fg", f"f{{{{{biome}.l{L+term_fg_gap}}}}}"),
+    ("foreground", f"f{{{{{biome}.l{L+term_fg_gap+I}}}}}"),
+])
+
+scheme_toml = [
+    f"{lhs:<12} = {rhs:<16}"
+    for lhs, rhs in scheme_pairs
+] 

monobiome/writer.py

@@ -0,0 +1,39 @@
+
+# put together objects for output formats
+toml_lines = []
+oklch_hL_dict = {}
+
+for h_str, L_points_Cstar in h_L_points_Cstar.items():
+    _h = h_map[h_str]
+    toml_lines.append(f"[{h_str}]")
+    oklch_hL_dict[h_str] = {}
+    
+    for _L, _C in zip(L_points, L_points_Cstar):
+        oklch = Color('oklch', [_L/100, _C, _h])
+        srgb = oklch.convert('srgb')
+        
+        hex_str = srgb.to_string(hex=True)
+        
+        l, c, h = oklch.convert('oklch').coords()
+        # oklch_str = oklch.to_string(percent=False)
+        oklch_str = f"oklch({l*100:.1f}% {c:.4f} {h:.1f})"
+        
+        toml_lines.append(f'l{_L} = "{hex_str}"')
+        oklch_hL_dict[h_str][_L] = oklch_str
+        
+    toml_lines.append("")
+
+
+
+# write files -- QBR = "quadratic bezier rational"
+PALETTE_DIR = "palettes"
+
+toml_content = '\n'.join(toml_lines)
+with Path(PALETTE_DIR, 'monobiome-vQBRsn-130.toml').open('w') as f:
+    f.write(toml_content)
+print("[TOML] written")
+    
+with Path(PALETTE_DIR, 'monobiome-vQBRsn-130-oklch.json').open('w') as f:
+    json.dump(oklch_hL_dict, f)
+print("[JSON] written")
+

notebooks/monobiome_qbr-shapenorm-v130.ipynb

@@ -618,7 +618,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 22,
    "id": "a4b66b95-2c86-452f-bef4-1e3716ab9555",
    "metadata": {},
    "outputs": [],
@@ -703,49 +703,46 @@
     "])\n",
     "\n",
     "scheme_toml = [\n",
-    "    f\"{lhs:<8} = {rhs:<15}\"\n",
+    "    f\"{lhs:<12} = {rhs:<16}\"\n",
     "    for lhs, rhs in scheme_pairs\n",
     "] "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 23,
    "id": "908e409c-803f-401d-a5c7-d7fc73aeea9d",
    "metadata": {},
    "outputs": [
     {
-     "data": {
+     "name": "stdout",
-      "text/plain": [
+     "output_type": "stream",
-       "['bg0      = f{{alpine.l20}}',\n",
+     "text": [
-       " 'bg1      = f{{alpine.l25}}',\n",
+      "bg0          = f{{alpine.l20}} \n",
-       " 'bg2      = f{{alpine.l30}}',\n",
+      "bg1          = f{{alpine.l25}} \n",
-       " 'bg3      = f{{alpine.l35}}',\n",
+      "bg2          = f{{alpine.l30}} \n",
-       " 'fg3      = f{{alpine.l70}}',\n",
+      "bg3          = f{{alpine.l35}} \n",
-       " 'fg2      = f{{alpine.l75}}',\n",
+      "fg3          = f{{alpine.l70}} \n",
-       " 'fg1      = f{{alpine.l80}}',\n",
+      "fg2          = f{{alpine.l75}} \n",
-       " 'fg0      = f{{alpine.l85}}',\n",
+      "fg1          = f{{alpine.l80}} \n",
-       " 'red      = f{{red.l62}}   ',\n",
+      "fg0          = f{{alpine.l85}} \n",
-       " 'organge  = f{{orange.l61}}',\n",
+      "red          = f{{red.l62}}    \n",
-       " 'yellow   = f{{yellow.l60}}',\n",
+      "organge      = f{{orange.l61}} \n",
-       " 'green    = f{{green.l59}} ',\n",
+      "yellow       = f{{yellow.l60}} \n",
-       " 'cyan     = f{{green.l59}} ',\n",
+      "green        = f{{green.l59}}  \n",
-       " 'blue     = f{{blue.l60}}  ',\n",
+      "cyan         = f{{green.l59}}  \n",
-       " 'violet   = f{{blue.l60}}  ',\n",
+      "blue         = f{{blue.l60}}   \n",
-       " 'magenta  = f{{red.l62}}   ',\n",
+      "violet       = f{{blue.l60}}   \n",
-       " 'background = f{{alpine.l20}}',\n",
+      "magenta      = f{{red.l62}}    \n",
-       " 'selection_bg = f{{alpine.l25}}',\n",
+      "background   = f{{alpine.l20}} \n",
-       " 'selection_fg = f{{alpine.l80}}',\n",
+      "selection_bg = f{{alpine.l25}} \n",
-       " 'foreground = f{{alpine.l85}}']"
+      "selection_fg = f{{alpine.l80}} \n",
+      "foreground   = f{{alpine.l85}} \n"
      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
-    "scheme_toml"
+    "print('\\n'.join(scheme_toml))"
    ]
   },
   {

remove_big_ipynb.py

@@ -0,0 +1,10 @@
+import os
+
+threshold = 5 * 1024 * 1024
+
+def blob_callback(blob, metadata):
+    if not blob.path.endswith(b'.ipynb'):
+        return
+    if len(blob.data) <= threshold:
+        return
+    blob.skip()

templates/apps/firefox/templates/none-dark.auto-manifest.json

@@ -1,6 +1,6 @@
 {
   "manifest_version": 2,
-  "version": "1.2.0",
+  "version": "f{{theme.version}}",
   "name": "monobiome-f{{theme.biome}}",
   "theme": {
     "colors": {

templates/apps/firefox/templates/none-dark.dark-manifest.json

@@ -1,6 +1,6 @@
 {
   "manifest_version": 2,
-  "version": "1.2.0",
+  "version": "f{{theme.version}}",
   "name": "monobiome-f{{theme.biome}}-dark",
   "theme": {
     "colors": {

templates/apps/firefox/templates/none-dark.light-manifest.json

@@ -1,6 +1,6 @@
 {
   "manifest_version": 2,
-  "version": "1.2.0",
+  "version": "f{{theme.version}}",
   "name": "monobiome-f{{theme.biome}}-light",
   "theme": {
     "colors": {

templates/groups/theme/default-alpine-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "alpine"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-alpine-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "alpine"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-badlands-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "badlands"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-badlands-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "badlands"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-chaparral-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "chaparral"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-chaparral-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "chaparral"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-grassland-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "grassland"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-grassland-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "grassland"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-savanna-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "savanna"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-savanna-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "savanna"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-tundra-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "tundra"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/default-tundra-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "tundra"
 contrast     = "default"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-alpine-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "alpine"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-alpine-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "alpine"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-badlands-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "badlands"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-badlands-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "badlands"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-chaparral-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "chaparral"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-chaparral-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "chaparral"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-grassland-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "grassland"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-grassland-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "grassland"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-savanna-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "savanna"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-savanna-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "savanna"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-tundra-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "tundra"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/hard-tundra-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "tundra"
 contrast     = "hard"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-alpine-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "alpine"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-alpine-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "alpine"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-badlands-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "badlands"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-badlands-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "badlands"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-chaparral-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "chaparral"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-chaparral-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "chaparral"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-grassland-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "grassland"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-grassland-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "grassland"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-savanna-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "savanna"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-savanna-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "savanna"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-tundra-monobiome-dark.toml

@@ -11,6 +11,7 @@
 mode         = "dark"
 biome        = "tundra"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------

templates/groups/theme/soft-tundra-monobiome-light.toml

@@ -11,6 +11,7 @@
 mode         = "light"
 biome        = "tundra"
 contrast     = "soft"
+version      = "f{{version}}"
 # --------------------------------------------
 
 # - SYS --------------------------------------