Remove upper bounds of compat entries

.github/workflows/ci.yml

@@ -35,8 +35,8 @@ jobs:
         architecture: 
           - x64
         python-version: 
-          - '3.8'
-          - '3.11'
+          - '3.9'
+          - '3.12'
     defaults:
       run:
         shell: bash

examples/sentiment_analysis.ipynb

@@ -388,9 +388,9 @@
     "        return \"very_positive\"\n",
     "\n",
     "\n",
-    "df_reviews_with_sentiment_value[\n",
-    "    \"label\"\n",
-    "] = df_reviews_with_sentiment_value.sentiment_value.apply(sentiment_discretizer)"
+    "df_reviews_with_sentiment_value[\"label\"] = (\n",
+    "    df_reviews_with_sentiment_value.sentiment_value.apply(sentiment_discretizer)\n",
+    ")"
    ]
   },
   {
@@ -740,9 +740,9 @@
     "df_reviews_with_sentiment_value_filtered = df_reviews_with_sentiment_value.loc[\n",
     "    filtered_indices\n",
     "].copy()\n",
-    "df_reviews_with_sentiment_value_filtered.loc[\n",
-    "    :, \"label_idx\"\n",
-    "] = df_reviews_with_sentiment_value_filtered.label.apply(lambda l: LABEL_MAPPING[l])\n",
+    "df_reviews_with_sentiment_value_filtered.loc[:, \"label_idx\"] = (\n",
+    "    df_reviews_with_sentiment_value_filtered.label.apply(lambda l: LABEL_MAPPING[l])\n",
+    ")\n",
     "\n",
     "df_reviews_with_sentiment_value_filtered[:5]"
    ]

pyproject.toml

@@ -35,37 +35,38 @@ documentation = "https://innvestigate.readthedocs.io/en/latest/"
 keywords = ["XAI", "LRP", "Deep Taylor",]
 
 [tool.poetry.dependencies]
-python = ">=3.9, <3.12"
-tensorflow = ">=2.6, <2.15"
-numpy = ">=1.22, <2"
-matplotlib = ">=3.5, <4"
-future = ">=0.18, <0.19"
+python = ">=3.9"
+tensorflow = ">=2.6"
+numpy = ">=1.22"
+matplotlib = ">=3.5"
+future = ">=0.18"
 
 [tool.poetry.group.notebooks.dependencies]
-ipykernel = ">=6.19, <7"
-Pillow = ">=9.0, <11"
-ftfy = ">=6.1, <7"
-pandas = ">=1, <3"
+ipykernel = ">=6.19"
+Pillow = ">=9.0"
+ftfy = ">=6.1"
+pandas = ">=1"
 
 [tool.poetry.group.docs.dependencies]
-Sphinx = ">=6.1, <8"
+Sphinx = ">=6.1"
 
 [tool.poetry.group.tests.dependencies]
-pytest = ">=7.2, <8"
-pytest-cov = ">=4.0, <5"
-coverage = {extras = ["toml"], version = ">=7, <8"}
-codecov = ">=2.1, <3"
+pytest = ">=7.2"
+pytest-cov = ">=4.0"
+coverage = {extras = ["toml"], version = ">=7"}
+codecov = ">=2.1"
+tox = "^4"
 
 [tool.poetry.group.dev.dependencies]
-black  = ">=22.3, <24"
-ruff = ">=0.0.264, <0.1"
-rope = ">=1.6, <2"
-pylint = ">=3, <4"
-isort = ">=5.10, <6"
-mypy = ">=1, <2"
-vulture = ">=2.3, <3"
-pyupgrade = ">=3.3, <4"
-pre-commit = ">=2.19, <4"
+black  = ">=25"
+ruff = ">=0.0.264"
+rope = ">=1.6"
+pylint = ">=3"
+isort = ">=5.10"
+mypy = ">=1"
+vulture = ">=2.3"
+pyupgrade = ">=3.3"
+pre-commit = ">=2.19"
 
 [tool.isort]
 profile = "black"
@@ -74,6 +75,9 @@ known_first_party = "innvestigate"
 known_local_folder = "tests"
 
 [tool.pytest.ini_options]
+pythonpath = [
+  "src"
+]
 addopts = "-v -m fast --strict-markers --cov"
 # NOTE: locally run tests with `poetry run pytest -m precommit` before a commit 
 markers = [

src/innvestigate/analyzer/relevance_based/relevance_analyzer.py

@@ -69,8 +69,6 @@
     klayers.SpatialDropout1D,
     klayers.SpatialDropout2D,
     klayers.SpatialDropout3D,
-    klayers.LocallyConnected1D,
-    klayers.LocallyConnected2D,
     klayers.Add,
     klayers.Concatenate,
     klayers.Dot,

src/innvestigate/backend/checks.py

@@ -218,8 +218,6 @@ def is_dense_layer(layer: Layer, *_args, **_kwargs) -> bool:
     klayers.SpatialDropout2D,
     klayers.SpatialDropout3D,
     klayers.Embedding,
-    klayers.LocallyConnected1D,
-    klayers.LocallyConnected2D,
     klayers.Add,
     klayers.Average,
     klayers.Concatenate,

src/innvestigate/backend/graph.py

@@ -1,4 +1,5 @@
 """Low-level operations on Keras graph."""
+
 from __future__ import annotations
 
 import inspect
@@ -869,7 +870,7 @@ def get_model_execution_graph(
 
 
 def print_model_execution_graph(
-    graph: dict[int | None, OptionalList[NodeDict]]
+    graph: dict[int | None, OptionalList[NodeDict]],
 ) -> None:
     """Pretty print of a model execution graph."""
     # TODO: check types
@@ -1004,8 +1005,7 @@ def reverse_model(
     return_all_reversed_tensors: bool = False,
     clip_all_reversed_tensors: bool | tuple[float, float] = False,
     project_bottleneck_tensors: bool | tuple[float, float] = False,
-    execution_trace: None
-    | (
+    execution_trace: None | (
         tuple[list[Layer], list[tuple[Layer, list[Tensor], list[Tensor]]], list[Tensor]]
     ) = None,
     reapply_on_copied_layers: bool = False,

src/innvestigate/tools/perturbate.py

@@ -192,9 +192,9 @@ def _perturbate_regions(self, x, perturbation_mask_regions):
             if region_mask:
                 for c in range(n_channels):
                     region = xp[sample_idx, c, region_row, :, region_col, :]
-                    xp[
-                        sample_idx, c, region_row, :, region_col, :
-                    ] = self.perturbation_function(region)
+                    xp[sample_idx, c, region_row, :, region_col, :] = (
+                        self.perturbation_function(region)
+                    )
 
         if self.value_range is not None:
             np.clip(xp, self.value_range[0], self.value_range[1], xp)

tests/_monkeytype.py

@@ -20,6 +20,7 @@
 Automated type annotations __absolutely__ need to be checked using mypy
 as well as formated using black and isort before commiting.
 """
+
 import pytest
 
 pytest.main()

tests/analyzer/test_init.py

@@ -1,4 +1,5 @@
 """Test function 'innvestigate.create_analyzer'"""
+
 from __future__ import annotations
 
 import logging

tests/analyzer/test_reference_layer.py

@@ -1,6 +1,7 @@
 """
 Test all LRP Analyzers over single layer models using random weights and random input.
 """
+
 import os
 
 import h5py

tests/analyzer/test_reference_vgg16.py

@@ -1,6 +1,7 @@
 """
 Test all LRP Analyzers on VGG16.
 """
+
 # NOTE:
 # For VGG16 reference tests to work, clone the repo
 # https://github.com/adrhill/test-data-innvestigate

tests/backend/test_model_wo_softmax.py

@@ -1,4 +1,5 @@
 """Test function 'innvestigate.create_analyzer'"""
+
 from __future__ import annotations
 
 import pytest

tests/dryrun.py

@@ -1,4 +1,5 @@
 """Dryrun analyzers to catch crashes."""
+
 from __future__ import annotations
 
 from typing import Callable

tests/networks/__init__.py

@@ -1,4 +1,5 @@
 """Iterate over test networks specified by filter string."""
+
 from __future__ import annotations
 
 import fnmatch

tests/networks/base.py

@@ -1,4 +1,5 @@
 """Predefined network architectures for testing."""
+
 from __future__ import annotations
 
 import tensorflow.keras.layers as klayers

tests/networks/imagenet.py

@@ -1,6 +1,7 @@
 """Load networks from Keras applications for dryrunning.
 By default, weights are just randomly initialized.
 """
+
 from __future__ import annotations
 
 import tensorflow.keras.applications as kapps

tests/networks/mnist.py

@@ -1,6 +1,7 @@
 """Apply network architectures defined in base.py using MNIST input shape,
 512 units per dense layer and a dropout rate of 0.25.
 """
+
 from __future__ import annotations
 
 import tensorflow.keras.backend as kbackend

tests/networks/trivia.py

@@ -1,4 +1,5 @@
 """Simple model architectures for fast testing of analyzers."""
+
 from __future__ import annotations
 
 import tensorflow.keras.layers as klayers

tox.ini

@@ -1,6 +1,6 @@
 [tox]
 isolated_build = true
-envlist = py{38, 310}, format, lint, docs
+envlist = py{39, 312}, format, lint, docs
 
 [testenv]
 description = "Run unit tests"
@@ -12,7 +12,7 @@ commands =
 
 [testenv:format]
 description = "Check formatting"
-basepython = python3.10
+basepython = python3.12
 deps =
     isort
     black
@@ -22,7 +22,7 @@ commands =
 
 [testenv:lint]
 description = "Check linting"
-basepython = python3.10
+basepython = python3.12
 ignore_outcome = true
 deps =
     ruff
@@ -33,7 +33,7 @@ commands =
 
 [testenv:docs]
 description = "Test doc build"
-basepython = python3.10
+basepython = python3.12
 deps =
     sphinx
 commands =