Fix install failures on Colab and x86_64 macOS by relaxing dependency pins

Dependency floors were set to the newest available release rather than the
oldest working one, which forced hosted notebooks to replace preinstalled
binary packages. On Colab this swapped numpy 2.1.3 -> 2.4.6 under a live
kernel, leaving numpy's Python sources newer than the already-imported
compiled extension, so `import fimserve` died with:

    AttributeError: module 'numpy._core._multiarray_umath'
    has no attribute '_blas_supports_fpe'

The hard `numba==0.66.0` pin also dragged in llvmlite 0.48, which ships no
macOS x86_64 wheel and so fell back to a source build requiring CMake.

- Lower floors to the oldest versions that actually work, so resolvers keep
  what the environment already has instead of churning 100+ packages.
- Drop dependencies never imported by the package: numba, scikit-learn,
  bottleneck, utils. numba now comes transitively via teehr (>=0.60,<1),
  which lets it resolve to a version with wheels for the target platform.
- Move jupyter, notebook, ipykernel and localtileserver to a `notebook`
  extra. Installing these replaced Colab's running kernel.
- Widen requires-python to <3.14 to match teehr; Colab runs 3.13, which the
  previous <3.13 bound excluded.

Verified on a Python 3.13 environment seeded with Colab's package versions:
numpy, numba, llvmlite, pyarrow, matplotlib and ipykernel are all left
untouched and `import fimserve` succeeds.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

Author: supathdhitalGEO

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "fimserve"
-version = "0.2.11"
+version = "0.2.12"
 description = "Framework which is developed with the purpose of quickly generating Flood Inundation Maps (FIM) for emergency response and risk assessment. It is developed under Surface Dynamics Modeling Lab (SDML)."
 authors = [
     { name = "Surface Dynamics Modeling Lab (SDML)" },
@@ -9,43 +9,43 @@ authors = [
 maintainers = [{ name = "Supath Dhital", email = "sdhital@crimson.ua.edu" }]
 license = { text = "GPL-3.0" }
 readme = "README.md"
-requires-python = ">=3.10,<3.13"
+# Upper bound tracks teehr, which supports <3.14. Colab runs 3.13.
+requires-python = ">=3.10,<3.14"
+# Floors are the oldest release that actually works, not the newest available.
+# Raising them forces hosted notebooks (Colab) to swap out preinstalled binary
+# packages, which breaks the already-imported numpy/pyarrow ABI in a live kernel.
 dependencies = [
     "teehr==0.6.6",
-    # geemap >=0.38 and matplotlib >=3.11 require Python >=3.11; the floors below
-    # stay at the newest release that still supports the 3.10 floor above.
     "geemap>=0.37.2",
     # pyarrow <21 and netcdf4 ==1.7.2 are imposed by teehr.
-    "pyarrow>=20.0.0,<21",
-    # numba <0.67 caps numpy at <2.5; 2.2.6 is the newest numpy supporting 3.10.
-    "numpy>=2.2.6",
+    "pyarrow>=15,<21",
     "netcdf4>=1.7.2",
-    "fiona>=1.10.1",
-    "utils>=1.0.2",
-    "matplotlib>=3.10.9",
-    "awscli>=1.46.0",
-    "boto3>=1.41.5",
-    "numba==0.66.0",
-    "bottleneck>=1.6.0",
-    "localtileserver>=1.0.0",
-    "tqdm>=4.70.0",
-    "scipy>=1.15.3",
-    "aiohttp>=3.14.3",
-    "scikit-learn>=1.7.2",
-    "tabulate>=0.10.0",
-    "nodejs-bin>=18.4.0a4",
-    "ipykernel>=7.3.0",
-    "beautifulsoup4>=4.15.0",
-    "python-dotenv>=1.2.2",
-    "jupyter>=1.1.1",
-    "notebook>=7.6.1",
+    "numpy>=2.1",
+    "scipy>=1.11",
+    "geopandas>=1.0.1",
     "geocube<=0.7.1",
-    "geopandas>=1.1.4",
+    "fiona>=1.10.1",
+    "matplotlib>=3.7",
+    "awscli>=1.32",
+    "boto3>=1.34",
+    "aiohttp>=3.9",
+    "beautifulsoup4>=4.12",
+    "tabulate>=0.9",
+    "tqdm>=4.66",
+    "python-dotenv>=1.0",
     "fimeval>=0.1.65",
-    "setuptools>=84.0.0",
 ]
 
 [project.optional-dependencies]
+# Only for a local Jupyter setup. Never install these on Colab/Binder: replacing
+# ipykernel/notebook under a live kernel is what breaks `import fimserve` there.
+notebook = [
+    "jupyter>=1.1.1",
+    "notebook>=7.6.1",
+    "ipykernel>=7.3.0",
+    "localtileserver>=1.0.0",
+]
+
 dev = [
     "pytest>=9.1.1",
     # sphinx >=8 needs docutils >=0.20, but awscli 1.x pins docutils <=0.19.