add pooch not as optional dep

.readthedocs.yml

@@ -6,6 +6,4 @@ python:
   version: 3.7
   install:
     - requirements: docs/requirements.txt
-    - method: pip
     - path: .
-    - extra_requirements: docs

noxfile.py

@@ -28,7 +28,6 @@ def tests(session):
     """Run the test suite."""
     args = session.posargs or ["--cov", "-m", "not e2e"]
     session.run("poetry", "install", external=True)
-    session.install("pooch")
     install_with_constraints(session, "coverage[toml]", "pytest", "pytest-cov")
     session.run("pytest", *args)
 

pyproject.toml

@@ -23,10 +23,7 @@ matplotlib-scalebar = "^0.6.2"
 palettable = "^3.3.0"
 scipy = "^1.5.1"
 importlib_metadata = {version = "^1.7.0", python = "<3.8"}
-pooch = {version = "^1.2.0", optional = true}
-
-[tool.poetry.extras]
-pooch = ["pooch"]
+pooch = "^1.2.0"
 
 [tool.poetry.dev-dependencies]
 pytest = "^6.1.1"

src/seaborn_image/utils.py

@@ -2,16 +2,10 @@
 
 import matplotlib.pyplot as plt
 import numpy as np
+import pooch
 from matplotlib import ticker
 from skimage import io
 
-try:
-    import pooch
-
-    HAS_POOCH = True
-except ImportError:  # pragma: no cover
-    HAS_POOCH = False
-
 __all__ = ["scientific_ticks", "despine", "load_image"]
 
 
@@ -246,19 +240,11 @@ def load_image(name):
                 img = np.loadtxt(path)
 
     elif name == "cells":
-        if HAS_POOCH:
-            fname = pooch.retrieve(
-                url="https://github.com/scikit-image/skimage-tutorials/raw/master/images/cells.tif",
-                known_hash="2120cfe08e0396324793a10a905c9bbcb64b117215eb63b2c24b643e1600c8c9",
-            )
-            img = io.imread(fname).T
-
-        elif HAS_POOCH is False:  # pragma: no cover
-            raise ModuleNotFoundError(
-                "The requested file is part of the scikit-image distribution, "
-                "but requires the installation of an optional dependency, pooch. "
-                "Run - `pip install pooch`"
-            )
+        fname = pooch.retrieve(
+            url="https://github.com/scikit-image/skimage-tutorials/raw/master/images/cells.tif",
+            known_hash="2120cfe08e0396324793a10a905c9bbcb64b117215eb63b2c24b643e1600c8c9",
+        )
+        img = io.imread(fname).T
 
     else:
         raise ValueError(f"No '{name}' image dataset")