diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a0f1db98..aae87298 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -27,7 +27,14 @@ repos:
       # mypy
       - id: mypy
         name: mypy
-        entry: pixi run -e mypy mypy
+        entry: pixi run -e default mypy
+        language: system
+        types: [python]
+        require_serial: true
+      # ty
+      - id: ty
+        name: ty
+        entry: pixi run -e default ty check --no-progress
         language: system
         types: [python]
         require_serial: true
diff --git a/pixi.lock b/pixi.lock
index 8355e6ee..941621e6 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -9,6 +9,7 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py310h31b6992_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
@@ -24,6 +25,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.13.1-py310h3406613_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.10.19-py310hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.3-py310hb288b08_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/elfutils-0.194-h849f50c_0.conda
@@ -33,13 +35,13 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.11.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.7.0-py310h9548a50_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gnutls-3.8.11-he7cfd77_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gnutls-3.8.11-h18acefa_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.29.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-api-core-grpc-2.29.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.47.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-bigquery-core-3.40.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py310hf432777_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py310hf432777_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.3.0-py310hea6c23e_0.conda
@@ -74,7 +76,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libidn2-2.3.8-hfac485b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libmicrohttpd-1.0.2-hc2fc477_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.67.0-had1ee68_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
@@ -101,18 +103,23 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/memray-1.19.1-py310hbdcf458_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.7.0-py310h3406613_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.19.1-py310h7c4b9e2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.1.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/nettle-3.10.1-h4a9d5aa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.6-py310hefbff90_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.0-h26f9b46_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/p11-kit-0.25.10-h3435931_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/p11-kit-0.26.0-h3435931_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.3.3.260113-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-1.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.3-pyh8b19718_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.5.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/propcache-0.3.1-py310h89163eb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/proto-plus-1.27.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/protobuf-6.31.1-py310ha36e12e_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-7.2.1-py310h139afa4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.6.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
@@ -121,10 +128,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-7.0.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-html-4.1.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-memray-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-metadata-3.1.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.10.19-h3c07f61_2_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.10.19-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-librt-0.7.8-py310h139afa4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.10-8_cp310.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2025.11.05-h5301d42_0.conda
@@ -136,11 +147,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.45-py310h7c4b9e2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/sqlalchemy-bigquery-1.16.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/textual-7.2.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/sqlalchemy-bigquery-1.16.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/textual-7.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-w-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ty-0.0.12-h4e94fc0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-colorama-0.4.15.20250801-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20251108-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
@@ -150,6 +164,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
       osx-arm64:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/_openmp_mutex-4.5-7_kmp_llvm.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.13.3-py310hd5e7861_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
@@ -165,6 +180,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/coverage-7.13.1-py310hb46c203_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.10.19-py310hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cryptography-46.0.3-py310h58759cc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
@@ -176,8 +192,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-api-core-grpc-2.29.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.47.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-bigquery-core-3.40.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/google-crc32c-1.8.0-py310h98c337e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/google-crc32c-1.8.0-py310h936c508_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/greenlet-3.3.0-py310hc7786af_0.conda
@@ -202,8 +218,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-15.2.0-hdae7583_16.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.74.1-h3063b79_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.11.0-5_hd9741b5_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblzma-5.8.1-h39f12f2_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.30-openmp_ha158390_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblzma-5.8.2-h8088a28_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.30-openmp_ha158390_4.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libprotobuf-6.31.1-h98f38fd_4.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libre2-11-2025.11.05-h91c62da_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.51.2-h1ae2325_0.conda
@@ -216,16 +232,21 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/memray-1.19.1-py310hbc0be0d_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/multidict-6.7.0-py310hdf731dd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/mypy-1.19.1-py310h230e4be_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.1.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.2.6-py310h4d83441_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.6.0-h5503f6c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.3.3.260113-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-1.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.3-pyh8b19718_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.5.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/propcache-0.3.1-py310hc74094e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/proto-plus-1.27.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/protobuf-6.31.1-py310hc33aa15_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-7.2.1-py310haea493c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.6.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
@@ -234,10 +255,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-7.0.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-html-4.1.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-memray-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-metadata-3.1.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.10.19-hcd7f573_2_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.10.19-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-librt-0.7.8-py310haea493c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.10-8_cp310.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_1.conda
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@@ -249,11 +274,14 @@ environments:
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   license_family: BSD
   size: 13507343
   timestamp: 1739792089317
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py311he9931d0_0.conda
-  sha256: 5bb1fde0bf7751f9932966655a9af7e639d917d5cd64520a14833b2714843577
-  md5: b37fab35e0fb703ec6734637d1622443
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py311he9931d0_1.conda
+  sha256: d9f37c85cbf689be3672c8264eb81585ad8f6041a2fe545ec978f42e5da0202c
+  md5: 9c5c9dbdaf090ba8be3beb34c01495d0
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -15493,11 +17336,11 @@ packages:
   - python_abi 3.11.* *_cp311
   license: BSD-3-Clause
   license_family: BSD
-  size: 13672578
-  timestamp: 1768136521332
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_0.conda
-  sha256: 9e83c5480ee720d77ce59faef33741f95a29468036c8841074666fcb8a5891b0
-  md5: 4352d288e44425e31f980bad3dfef21a
+  size: 14030449
+  timestamp: 1768801949072
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
+  sha256: a204b9b3a59a88a320d9da772eecda58242cfaaf785119927eb59c4bdc6fa66f
+  md5: 1f5a9253e1c3484a5c1df0b8145a9ce3
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -15514,11 +17357,11 @@ packages:
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 13640513
-  timestamp: 1768136071553
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_0.conda
-  sha256: c4970221efaba1ab16725adbf90492f4e0cabb9a6908ebf8e31bebde737775ac
-  md5: 9820f8f7d2f7b973e0b71c00adb32172
+  size: 13802410
+  timestamp: 1768801119235
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_1.conda
+  sha256: 2ea17fc46533e8789881732f42265e32c7ae376344cc3d53683e7b2179d947bb
+  md5: 5b73b1e6d191aac48960c50d65372f19
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -15535,11 +17378,11 @@ packages:
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 13797227
-  timestamp: 1768136452348
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py314hfc1f868_0.conda
-  sha256: 5ec4f10acbf52633e8de61581da565bc34ef46dc28fba31b2e90cd189beedde4
-  md5: 3f14ee9363b540fb7f9b3b714cd40a56
+  size: 13888560
+  timestamp: 1768801587965
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py314hfc1f868_1.conda
+  sha256: 7240afa19ba5a5fd66b8ad4270a17e2987940b5dddc6367c4a28a6bd62444547
+  md5: 09978c420b2e017134c825c06250bf23
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -15556,8 +17399,8 @@ packages:
   - python_abi 3.14.* *_cp314
   license: BSD-3-Clause
   license_family: BSD
-  size: 13963441
-  timestamp: 1768136355974
+  size: 13977639
+  timestamp: 1768800961564
 - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.15.2-py310h15c175c_0.conda
   sha256: f19350c2061b1cdc3151a33c3dd4f71a1a481f9b10ac186674f957814bc839bc
   md5: 81798168111d1021e3d815217c444418
@@ -15577,9 +17420,9 @@ packages:
   license_family: BSD
   size: 14352068
   timestamp: 1739793156239
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py311h9c22a71_0.conda
-  sha256: 687a5a457d163415d1802c876a8075f279947c1a931478fe5e31a67d4e69afdd
-  md5: 5a37e6e0b88c9fcfd1050ded185d07a1
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py311h9c22a71_1.conda
+  sha256: c6896bbe8cb62b1743b86e4bae8c509233231412bf7ffd92bf0d5036a617dc8e
+  md5: 0d03c857517a5db3c1af5b553a528fac
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -15594,11 +17437,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 15085719
-  timestamp: 1768136780834
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_0.conda
-  sha256: 6f05352d921f1914f54c7805368842c07c116dee7ede90ed031a811d2a4efdcf
-  md5: b6edf419055109b566cd1e127dc81163
+  size: 14988880
+  timestamp: 1768801728977
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_1.conda
+  sha256: 0f90709b8b8ffa3f3f8a3e023154be77e3fe7dbeda3de3d62479c862111761f2
+  md5: da72702707bdb757ad57637815f165b1
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -15613,11 +17456,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 14944653
-  timestamp: 1768137048439
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_0.conda
-  sha256: 1ee7142b35b5d0a9141735d04bba2ae02b5ee4f056b57774a7c1fd84cf0cd9da
-  md5: 94daca8e09c661a3445476c720fc3e6a
+  size: 14843889
+  timestamp: 1768801821822
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_1.conda
+  sha256: 9da71fa94c2de66f5d1eb7d926f655efadf8c4e0a6b6e934a45adaeea0905e9b
+  md5: b54fb98c96446df58e04957b6c98520e
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -15632,11 +17475,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 15023367
-  timestamp: 1768136974347
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py314h221f224_0.conda
-  sha256: 86f326841bdc05ac11e4e91d41003d0f1a6e9e2d90722eea171c345d373736cd
-  md5: fbed96dffff25b870c734c015a4a620e
+  size: 14986564
+  timestamp: 1768801809920
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py314h221f224_1.conda
+  sha256: 3e206736e3afce07be3f2f714518c0eff211f49e603b6aadb468e9d96ef4c420
+  md5: 0f9edd5793da94f7ec58690abe25c8a2
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -15651,8 +17494,8 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 15104603
-  timestamp: 1768136833397
+  size: 15121680
+  timestamp: 1768801838627
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
   sha256: 972560fcf9657058e3e1f97186cc94389144b46dbdf58c807ce62e83f977e863
   md5: 4de79c071274a53dcaf2a8c749d1499e
@@ -16135,20 +17978,21 @@ packages:
   license_family: MIT
   size: 3774888
   timestamp: 1765352212228
-- conda: https://conda.anaconda.org/conda-forge/noarch/sqlalchemy-bigquery-1.16.0-pyhd8ed1ab_0.conda
-  sha256: ebaf4927d61bea5d26309d92cc01d67e5999fd6b90cef48c3f98139d604012b6
-  md5: 09e80384010b79cfb40953ca67a105a3
+- conda: https://conda.anaconda.org/conda-forge/noarch/sqlalchemy-bigquery-1.16.0-pyhcf101f3_1.conda
+  sha256: 84dbab2d95c811be195ab6ef2ea9fcb4a8df71295da54e5a9c28347301561192
+  md5: 7abc42f4d86b82f6e57d058a99d3728c
   depends:
+  - python >=3.10,<3.15
   - google-api-core >=1.31.5,<3.0.0,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0
   - google-auth >=1.25.0,<3.0.0
   - google-cloud-bigquery-core >=3.3.6,<4.0.0
   - packaging
-  - python >=3.10,<3.15
   - sqlalchemy >=1.4.16,<3.0.0
+  - python
   license: MIT
   license_family: MIT
-  size: 36608
-  timestamp: 1762419974003
+  size: 37853
+  timestamp: 1768564688062
 - conda: https://conda.anaconda.org/conda-forge/linux-64/taplo-0.10.0-h2d22210_1.conda
   sha256: 7d313578d79ece2b328084d906958888b5a474326a24833317d95a71e264b219
   md5: a4935b2eea119342f6a9d666e821984d
@@ -16200,9 +18044,9 @@ packages:
   license_family: APACHE
   size: 155869
   timestamp: 1767886839029
-- conda: https://conda.anaconda.org/conda-forge/noarch/textual-7.2.0-pyhcf101f3_0.conda
-  sha256: 80a17efa3d5954bead43782c1b6657b582d8f3c672d7f5416797b66e0a05519c
-  md5: 4eb3c5520e9f225c1ca37c89e4526db2
+- conda: https://conda.anaconda.org/conda-forge/noarch/textual-7.3.0-pyhcf101f3_0.conda
+  sha256: 76832f613ca61ac973eef79329be13a14f61e02b086b693d8f14056481b5b150
+  md5: 27079a8cc017175c80d92bce7f3f533c
   depends:
   - pygments >=2.19.2,<3.0.0
   - typing_extensions >=4.4.0,<5.0.0
@@ -16217,8 +18061,8 @@ packages:
   - tree_sitter_languages 1.10.2.*
   license: MIT
   license_family: MIT
-  size: 526465
-  timestamp: 1768215138330
+  size: 526778
+  timestamp: 1768566605630
 - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda
   sha256: 1544760538a40bcd8ace2b1d8ebe3eb5807ac268641f8acdc18c69c5ebfeaf64
   md5: 86bc20552bf46075e3d92b67f089172d
@@ -16272,15 +18116,61 @@ packages:
   license_family: MIT
   size: 12680
   timestamp: 1736962345843
-- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.13.3-pyha770c72_0.conda
-  sha256: f8d3b49c084831a20923f66826f30ecfc55a4cd951e544b7213c692887343222
-  md5: 146402bf0f11cbeb8f781fa4309a95d3
+- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.14.0-pyha770c72_0.conda
+  sha256: b35082091c8efd084e51bc3a4a2d3b07897eff232aaf58cbc0f959b6291a6a93
+  md5: 385dca77a8b0ec6fa9b92cb62d09b43b
   depends:
-  - python >=3.9
+  - python >=3.10
+  license: MIT
+  license_family: MIT
+  size: 39224
+  timestamp: 1768476626454
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ty-0.0.12-h4e94fc0_0.conda
+  noarch: python
+  sha256: d1745d20b6ae170b12120adced62d947acbfbd02fb2316a04cbccb5e1e1e9734
+  md5: e0e4848be215c31c53294a282bc089e0
+  depends:
+  - python
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - _python_abi3_support 1.*
+  - cpython >=3.10
+  constrains:
+  - __glibc >=2.17
+  license: MIT
+  license_family: MIT
+  size: 8782212
+  timestamp: 1768454811877
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ty-0.0.12-ha73ee7d_0.conda
+  noarch: python
+  sha256: f8324a3353e378507eda7e739cb190c322ed01e8a174ec2b710636b625faf107
+  md5: 4c53607345e32d2c1daa9abca91c67ba
+  depends:
+  - python
+  - __osx >=11.0
+  - _python_abi3_support 1.*
+  - cpython >=3.10
+  constrains:
+  - __osx >=11.0
+  license: MIT
+  license_family: MIT
+  size: 7881816
+  timestamp: 1768454840528
+- conda: https://conda.anaconda.org/conda-forge/win-64/ty-0.0.12-hc21aad4_0.conda
+  noarch: python
+  sha256: 1418f0a94c192ea50ffc90baf0cccdb62c28ee3a4c7ebacb5bf1f3bcb0663ce3
+  md5: f6380a881a8617836a676b07cc22ed78
+  depends:
+  - python
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - _python_abi3_support 1.*
+  - cpython >=3.10
   license: MIT
   license_family: MIT
-  size: 38777
-  timestamp: 1749127286558
+  size: 8737683
+  timestamp: 1768454853610
 - conda: https://conda.anaconda.org/conda-forge/noarch/types-colorama-0.4.15.20250801-pyhd8ed1ab_0.conda
   sha256: c3adaf52ce4ed5595976f66d6115344d8d01bcb13d8fa86bebd1ecefd20b30a8
   md5: f85aef05f6ab540a2f9fe01ac207216c
@@ -16289,23 +18179,6 @@ packages:
   license: Apache-2.0 AND MIT
   size: 20134
   timestamp: 1754036988893
-- conda: https://conda.anaconda.org/conda-forge/noarch/types-jinja2-2.11.9-pyhd8ed1ab_1.conda
-  sha256: 507d3ff22ad36babf6edda53cf96308af3cecd168cd43dfa1f986ddf0ccfc1c6
-  md5: aa739cef98a67fdb181ca43083a06ac2
-  depends:
-  - python >=3.9
-  - types-markupsafe
-  license: Apache-2.0 AND MIT
-  size: 28376
-  timestamp: 1735487173337
-- conda: https://conda.anaconda.org/conda-forge/noarch/types-markupsafe-1.1.10-pyhd8ed1ab_1.conda
-  sha256: 06e574dfd89a3a0462ff215d02c289ac1a042da68536e93960bb51bd5a9f2ca8
-  md5: 1cd10ccae718d1c2453e972a346dce49
-  depends:
-  - python >=3.9
-  license: Apache-2.0 AND MIT
-  size: 17840
-  timestamp: 1735227223443
 - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20251108-pyhd8ed1ab_0.conda
   sha256: 407eede257ad94d77dae4fd60b1a574d6551aa470d9f5c92ea0262d737a54109
   md5: 3121e2dcab1bae684b349509b033aec1
@@ -16314,17 +18187,6 @@ packages:
   license: Apache-2.0 AND MIT
   size: 19558
   timestamp: 1762578505329
-- conda: https://conda.anaconda.org/conda-forge/noarch/types-setuptools-80.9.0.20251223-pyhcf101f3_0.conda
-  sha256: 51cc092b099757d877d6f2d1de727d6da68a83b2e9594fb77ad57f6304702f1d
-  md5: 02c11cbf9b10f2bb9723af1afcb3c5de
-  depends:
-  - python >=3.10
-  - python
-  constrains:
-  - setuptools >=71.1
-  license: Apache-2.0 AND MIT
-  size: 48670
-  timestamp: 1766469833115
 - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
   sha256: 7c2df5721c742c2a47b2c8f960e718c930031663ac1174da67c1ed5999f7938c
   md5: edd329d7d3a4ab45dcf905899a7a6115
diff --git a/pixi.toml b/pixi.toml
index 68f2bc5c..ff2d51fa 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -92,18 +92,16 @@ sqlalchemy = "2.*"
 [feature.test.dependencies]
 pytest-cov = "*"
 pytest-xdist = "*"
+pytest-html = "*"
+ty = "*"
+mypy = "*"
+types-colorama = "*"
+pandas-stubs = "*"
 
 [feature.test.target.unix.dependencies]
 pytest-memray = "*"
 memray = "*"
 
-[feature.mypy.dependencies]
-mypy = "*"
-types-setuptools = "*"
-types-colorama = "*"
-pandas-stubs = "*"
-types-jinja2 = "*"
-
 [feature.lint.dependencies]
 pre-commit = "*"
 docformatter = "*"
@@ -163,5 +161,3 @@ bigquery-py310 = ["bigquery", "py310", "test"]
 bigquery-sa1 = ["bigquery", "sa1", "test"]
 
 lint = { features = ["lint"], no-default-feature = true }
-
-mypy = ["mypy"]
diff --git a/pyproject.toml b/pyproject.toml
index fcbcba2f..bf41a47f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -71,11 +71,15 @@ known-first-party = ["datajudge"]
 quote-style = "double"
 indent-style = "space"
 
+[tool.ty.terminal]
+error-on-warning = true
+
 [tool.mypy]
 python_version = '3.10'
 no_implicit_optional = true
 allow_empty_bodies = true
 check_untyped_defs = true
+disable_error_code = ["method-assign"]
 
 [[tool.mypy.overrides]]
 module = ["scipy.*", "pytest_html"]
diff --git a/src/datajudge/constraints/base.py b/src/datajudge/constraints/base.py
index 16dcfa33..9e2810e3 100644
--- a/src/datajudge/constraints/base.py
+++ b/src/datajudge/constraints/base.py
@@ -1,12 +1,11 @@
-from __future__ import annotations
-
 import abc
-from collections.abc import Callable, Collection
+from collections.abc import Callable, Collection, Sequence
 from dataclasses import dataclass, field
 from functools import lru_cache
 from typing import Any, TypeVar
 
 import sqlalchemy as sa
+from sqlalchemy.sql import selectable
 
 from ..db_access import DataReference
 from ..formatter import Formatter
@@ -16,7 +15,8 @@
 
 _DEFAULT_FORMATTER = Formatter()
 
-_OptionalSelections = list[sa.sql.expression.Select] | None
+_Select = selectable.Select | selectable.CompoundSelect
+_OptionalSelections = Sequence[_Select] | None
 _ToleranceGetter = Callable[[sa.engine.Engine], float]
 
 
@@ -149,17 +149,25 @@ def __init__(
             not isinstance(output_processors, list)
         ):
             output_processors = [output_processors]
-        self._output_processors = output_processors
+
+        self._output_processors: list[OutputProcessor] | None = output_processors
 
         self._cache_size = cache_size
         self._setup_caching()
 
     def _setup_caching(self):
-        # this has an added benefit of allowing the class to be garbage collected
+        # We don't use cache or lru_cache decorators since those would lead
+        # to class-based, not instance-based caching.
+        #
+        # Using this approach has the added benefit of allowing the class to be garbage collected
         # according to https://rednafi.com/python/lru_cache_on_methods/
         # and https://docs.astral.sh/ruff/rules/cached-instance-method/
-        self._get_factual_value = lru_cache(self._cache_size)(self._get_factual_value)  # type: ignore[method-assign]
-        self._get_target_value = lru_cache(self._cache_size)(self._get_target_value)  # type: ignore[method-assign]
+        self._get_factual_value: Callable[[Constraint, sa.engine.Engine], Any] = (
+            lru_cache(self._cache_size)(self._get_factual_value)
+        )
+        self._get_target_value: Callable[[Constraint, sa.engine.Engine], Any] = (
+            lru_cache(self._cache_size)(self._get_target_value)
+        )
 
     def _check_if_valid_between_or_within(
         self,
@@ -179,13 +187,11 @@ def _check_if_valid_between_or_within(
                 f"{class_name}. Use exactly either of them."
             )
 
-    # @lru_cache(maxsize=None), see _setup_caching()
     def _get_factual_value(self, engine: sa.engine.Engine) -> Any:
         factual_value, factual_selections = self._retrieve(engine, self._ref)
         self._factual_selections = factual_selections
         return factual_value
 
-    # @lru_cache(maxsize=None), see _setup_caching()
     def _get_target_value(self, engine: sa.engine.Engine) -> Any:
         if self._ref2 is None:
             return self._ref_value
@@ -246,9 +252,14 @@ def _compare(
         raise NotImplementedError()
 
     def test(self, engine: sa.engine.Engine) -> TestResult:
-        value_factual = self._get_factual_value(engine)
-        value_target = self._get_target_value(engine)
+        # ty can't figure out that this is a method and that self is passed
+        # as the first argument.
+        value_factual = self._get_factual_value(engine=engine)  # type: ignore[missing-argument]
+        # ty can't figure out that this is a method and that self is passed
+        # as the first argument.
+        value_target = self._get_target_value(engine=engine)  # type: ignore[missing-argument]
         is_success, assertion_message = self._compare(value_factual, value_target)
+
         if is_success:
             return TestResult.success()
 
diff --git a/src/datajudge/constraints/column.py b/src/datajudge/constraints/column.py
index 1ac92fc4..d989d039 100644
--- a/src/datajudge/constraints/column.py
+++ b/src/datajudge/constraints/column.py
@@ -17,7 +17,7 @@ def _retrieve(
         # side effects. This should be removed as soon as snowflake column capitalization
         # is fixed by snowflake-sqlalchemy.
         if is_snowflake(engine) and self._ref_value is not None:
-            self._ref_value = lowercase_column_names(self._ref_value)  # type: ignore
+            self._ref_value = lowercase_column_names(self._ref_value)
         return db_access.get_column_names(engine, ref)
 
 
diff --git a/src/datajudge/constraints/date.py b/src/datajudge/constraints/date.py
index b06804a1..0e781e2d 100644
--- a/src/datajudge/constraints/date.py
+++ b/src/datajudge/constraints/date.py
@@ -8,7 +8,7 @@
 from .. import db_access
 from ..db_access import DataReference
 from .base import Constraint, _OptionalSelections
-from .interval import NoGapConstraint, NoOverlapConstraint
+from .interval import NoGapConstraint, NoOverlapConstraint, _Selects
 
 _INPUT_DATE_FORMAT = "'%Y-%m-%d'"
 
@@ -220,7 +220,7 @@ def _compare(
 class DateNoGap(NoGapConstraint):
     _DIMENSIONS = 1
 
-    def select(self, engine: sa.engine.Engine, ref: DataReference):
+    def _select(self, engine: sa.engine.Engine, ref: DataReference) -> _Selects:
         sample_selection, n_violations_selection = db_access.get_date_gaps(
             engine,
             ref,
diff --git a/src/datajudge/constraints/interval.py b/src/datajudge/constraints/interval.py
index 4f9fe75e..f078b39d 100644
--- a/src/datajudge/constraints/interval.py
+++ b/src/datajudge/constraints/interval.py
@@ -1,13 +1,16 @@
 from __future__ import annotations
 
 import abc
-from typing import Any
+from typing import Any, TypeAlias
 
 import sqlalchemy as sa
 
 from .. import db_access
 from ..db_access import DataReference
-from .base import Constraint, _OptionalSelections
+from .base import Constraint, _OptionalSelections, _Select
+
+# Both sa.Select and sa.CompoundSelect inherit from sa.GenerativeSelect.
+_Selects: TypeAlias = tuple[_Select, _Select]
 
 
 class IntervalConstraint(Constraint):
@@ -31,8 +34,7 @@ def __init__(
         self._validate_dimensions()
 
     @abc.abstractmethod
-    def select(self, engine: sa.engine.Engine, ref: DataReference):
-        pass
+    def _select(self, engine: sa.engine.Engine, ref: DataReference) -> _Selects: ...
 
     def _validate_dimensions(self):
         if (length := len(self._start_columns)) != self._DIMENSIONS:
@@ -56,7 +58,7 @@ def _retrieve(
             engine, keys_ref
         )
 
-        sample_selection, n_violations_selection = self.select(engine, ref)
+        sample_selection, n_violations_selection = self._select(engine, ref)
         with engine.connect() as connection:
             self.sample = connection.execute(sample_selection).first()
             n_violation_keys = int(
@@ -90,7 +92,7 @@ def __init__(
             cache_size=cache_size,
         )
 
-    def select(self, engine: sa.engine.Engine, ref: DataReference):
+    def _select(self, engine: sa.engine.Engine, ref: DataReference) -> _Selects:
         sample_selection, n_violations_selection = db_access.get_interval_overlaps_nd(
             engine,
             ref,
@@ -106,8 +108,7 @@ def select(self, engine: sa.engine.Engine, ref: DataReference):
     @abc.abstractmethod
     def _compare(
         self, value_factual: Any, value_target: Any
-    ) -> tuple[bool, str | None]:
-        pass
+    ) -> tuple[bool, str | None]: ...
 
 
 class NoGapConstraint(IntervalConstraint):
@@ -134,11 +135,9 @@ def __init__(
         )
 
     @abc.abstractmethod
-    def select(self, engine: sa.engine.Engine, ref: DataReference):
-        pass
+    def _select(self, engine: sa.engine.Engine, ref: DataReference) -> _Selects: ...
 
     @abc.abstractmethod
     def _compare(
         self, value_factual: tuple[int, int], value_target: Any
-    ) -> tuple[bool, str | None]:
-        pass
+    ) -> tuple[bool, str | None]: ...
diff --git a/src/datajudge/constraints/miscs.py b/src/datajudge/constraints/miscs.py
index b556a64f..f01dce64 100644
--- a/src/datajudge/constraints/miscs.py
+++ b/src/datajudge/constraints/miscs.py
@@ -27,23 +27,19 @@ def _retrieve(
 
     # Note: Exact equality!
     def _compare(
-        self, primary_keys_factual: set[str], primary_keys_target: set[str]
+        self, value_factual: set[str], value_target: set[str]
     ) -> tuple[bool, str | None]:
         assertion_message = ""
         result = True
         # If both are true, just report one.
-        if len(primary_keys_factual.difference(primary_keys_target)) > 0:
-            example_key = next(
-                iter(primary_keys_factual.difference(primary_keys_target))
-            )
+        if len(value_factual.difference(value_target)) > 0:
+            example_key = next(iter(value_factual.difference(value_target)))
             assertion_message = (
                 f"{self._ref} incorrectly includes {example_key} as primary key."
             )
             result = False
-        if len(primary_keys_target.difference(primary_keys_factual)) > 0:
-            example_key = next(
-                iter(primary_keys_target.difference(primary_keys_factual))
-            )
+        if len(value_target.difference(value_factual)) > 0:
+            example_key = next(iter(value_target.difference(value_factual)))
             assertion_message = (
                 f"{self._ref} doesn't include {example_key} as primary key."
             )
@@ -101,7 +97,9 @@ def test(self, engine: sa.engine.Engine) -> TestResult:
         self.target_selections = unique_selections
         if row_count == 0:
             return TestResult(True, "No occurrences.")
-        tolerance_kind, tolerance_value = self._ref_value  # type: ignore
+
+        tolerance_kind, tolerance_value = self._ref_value
+
         if tolerance_kind == "relative":
             result = unique_count >= row_count * (1 - tolerance_value)
         elif tolerance_kind == "absolute":
@@ -182,12 +180,12 @@ def _retrieve(self, engine: sa.engine.Engine, ref: DataReference):
         return db_access.get_missing_fraction(engine=engine, ref=ref)
 
     def _compare(
-        self, missing_fraction_factual: float, missing_fracion_target: float
+        self, value_factual: float, value_target: float
     ) -> tuple[bool, str | None]:
-        threshold = missing_fracion_target * (1 + self.max_relative_deviation)
-        result = missing_fraction_factual <= threshold
+        threshold = value_target * (1 + self.max_relative_deviation)
+        result = value_factual <= threshold
         assertion_text = (
-            f"{missing_fraction_factual} of {self._ref} values are NULL "
+            f"{value_factual} of {self._ref} values are NULL "
             f"while only {self._target_prefix}{threshold} were allowed to be NULL."
         )
         return result, assertion_text
diff --git a/src/datajudge/constraints/nrows.py b/src/datajudge/constraints/nrows.py
index 1a043b7a..23daa2f3 100644
--- a/src/datajudge/constraints/nrows.py
+++ b/src/datajudge/constraints/nrows.py
@@ -50,39 +50,39 @@ def _retrieve(
             engine=engine, ref=ref, row_limit=self._ref_value
         )
 
-    def _compare(self, n_rows_factual: int, n_rows_target: int) -> tuple[bool, str]:
-        result = n_rows_factual >= n_rows_target
+    def _compare(self, value_factual: int, value_target: int) -> tuple[bool, str]:
+        result = value_factual >= value_target
         assertion_text = (
-            f"{self._ref} has {n_rows_factual} "
-            f"< {self._target_prefix} {n_rows_target} rows. "
+            f"{self._ref} has {value_factual} "
+            f"< {self._target_prefix} {value_target} rows. "
             f"{self._condition_string}"
         )
         return result, assertion_text
 
 
 class NRowsMax(NRows):
-    def _compare(self, n_rows_factual: int, n_rows_target: int) -> tuple[bool, str]:
-        result = n_rows_factual <= n_rows_target
-        n_rows_factual_fmt, n_rows_target_fmt = format_difference(
-            n_rows_factual, n_rows_target
+    def _compare(self, value_factual: int, value_target: int) -> tuple[bool, str]:
+        result = value_factual <= value_target
+        value_factual_fmt, value_target_fmt = format_difference(
+            value_factual, value_target
         )
         assertion_text = (
-            f"{self._ref} has {n_rows_factual_fmt} "
-            f"> {self._target_prefix} {n_rows_target_fmt} rows. "
+            f"{self._ref} has {value_factual_fmt} "
+            f"> {self._target_prefix} {value_target_fmt} rows. "
             f"{self._condition_string}"
         )
         return result, assertion_text
 
 
 class NRowsEquality(NRows):
-    def _compare(self, n_rows_factual: int, n_rows_target: int) -> tuple[bool, str]:
-        result = n_rows_factual == n_rows_target
-        n_rows_factual_fmt, n_rows_target_fmt = format_difference(
-            n_rows_factual, n_rows_target
+    def _compare(self, value_factual: int, value_target: int) -> tuple[bool, str]:
+        result = value_factual == value_target
+        value_factual_fmt, value_target_fmt = format_difference(
+            value_factual, value_target
         )
         assertion_text = (
-            f"{self._ref} has {n_rows_factual_fmt} row(s) "
-            f"instead of {self._target_prefix} {n_rows_target_fmt}. "
+            f"{self._ref} has {value_factual_fmt} row(s) "
+            f"instead of {self._target_prefix} {value_target_fmt}. "
             f"{self._condition_string}"
         )
         return result, assertion_text
@@ -100,12 +100,12 @@ def __init__(
         super().__init__(ref, ref2=ref2, name=name, cache_size=cache_size)
         self.max_relative_loss_getter = max_relative_loss_getter
 
-    def _compare(self, n_rows_factual: int, n_rows_target: int) -> tuple[bool, str]:
-        if n_rows_target == 0:
+    def _compare(self, value_factual: int, value_target: int) -> tuple[bool, str]:
+        if value_target == 0:
             return True, "Empty target table."
-        if n_rows_factual > n_rows_target:
+        if value_factual > value_target:
             return True, "Row gain."
-        relative_loss = (n_rows_target - n_rows_factual) / n_rows_target
+        relative_loss = (value_target - value_factual) / value_target
         assertion_text = (
             f"The #rows from {self._ref} have decreased by "
             f"{relative_loss:%} compared to table {self._ref2}. "
@@ -130,25 +130,25 @@ def __init__(
         cache_size=None,
     ):
         super().__init__(ref, ref2=ref2, name=name, cache_size=cache_size)
-        self.max_relative_gain_getter = max_relative_gain_getter
+        self._max_relative_gain_getter = max_relative_gain_getter
 
-    def _compare(self, n_rows_factual: int, n_rows_target: int) -> tuple[bool, str]:
-        if n_rows_target == 0:
+    def _compare(self, value_factual: int, value_target: int) -> tuple[bool, str]:
+        if value_target == 0:
             return True, "Empty target table."
-        if n_rows_factual < n_rows_target:
+        if value_factual < value_target:
             return True, "Row loss."
-        relative_gain = (n_rows_factual - n_rows_target) / n_rows_target
+        relative_gain = (value_factual - value_target) / value_target
         assertion_text = (
             f"{self._ref} has {relative_gain:%} gain in #rows compared to "
             f"{self._ref2}. It was only allowed "
-            f"to increase by {self.max_relative_gain:%}. "
+            f"to increase by {self._max_relative_gain:%}. "
             f"{self._condition_string}"
         )
-        result = relative_gain <= self.max_relative_gain
+        result = relative_gain <= self._max_relative_gain
         return result, assertion_text
 
     def test(self, engine: sa.engine.Engine) -> TestResult:
-        self.max_relative_gain = self.max_relative_gain_getter(engine)
+        self._max_relative_gain = self._max_relative_gain_getter(engine)
         return super().test(engine)
 
 
@@ -162,23 +162,23 @@ def __init__(
         cache_size=None,
     ):
         super().__init__(ref, ref2=ref2, name=name, cache_size=cache_size)
-        self.min_relative_gain_getter = min_relative_gain_getter
+        self._min_relative_gain_getter = min_relative_gain_getter
 
-    def _compare(self, n_rows_factual: int, n_rows_target: int) -> tuple[bool, str]:
-        if n_rows_target == 0:
+    def _compare(self, value_factual: int, value_target: int) -> tuple[bool, str]:
+        if value_target == 0:
             return True, "Empty target table."
-        if n_rows_factual < n_rows_target:
+        if value_factual < value_target:
             return False, "Row loss."
-        relative_gain = (n_rows_factual - n_rows_target) / n_rows_target
+        relative_gain = (value_factual - value_target) / value_target
         assertion_text = (
             f"{self._ref} has {relative_gain:%} gain in #rows compared to "
             f"{self._ref2}. It was supposed "
-            f"to increase at least by {self.min_relative_gain:%}. "
+            f"to increase at least by {self._min_relative_gain:%}. "
             f"{self._condition_string}"
         )
-        result = relative_gain >= self.min_relative_gain
+        result = relative_gain >= self._min_relative_gain
         return result, assertion_text
 
     def test(self, engine: sa.engine.Engine) -> TestResult:
-        self.min_relative_gain = self.min_relative_gain_getter(engine)
+        self._min_relative_gain = self._min_relative_gain_getter(engine)
         return super().test(engine)
diff --git a/src/datajudge/constraints/numeric.py b/src/datajudge/constraints/numeric.py
index 79817803..fc4e64ea 100644
--- a/src/datajudge/constraints/numeric.py
+++ b/src/datajudge/constraints/numeric.py
@@ -7,7 +7,7 @@
 from .. import db_access
 from ..db_access import DataReference
 from .base import Constraint, TestResult, _OptionalSelections
-from .interval import NoGapConstraint, NoOverlapConstraint
+from .interval import NoGapConstraint, NoOverlapConstraint, _Selects
 
 
 class NumericMin(Constraint):
@@ -156,8 +156,13 @@ def _retrieve(
         return result, selections
 
     def test(self, engine: sa.engine.Engine) -> TestResult:
-        mean_factual = self._get_factual_value(engine)
-        mean_target = self._get_target_value(engine)
+        # ty can't figure out that this is a method and that self is passed
+        # as the first argument.
+        mean_factual = self._get_factual_value(engine=engine)  # type: ignore[missing-argument]
+        # ty can't figure out that this is a method and that self is passed
+        # as the first argument.
+        mean_target = self._get_target_value(engine=engine)  # type: ignore[missing-argument]
+
         if mean_factual is None or mean_target is None:
             return TestResult(
                 mean_factual is None and mean_target is None,
@@ -258,7 +263,7 @@ def _compare(
 class NumericNoGap(NoGapConstraint):
     _DIMENSIONS = 1
 
-    def select(self, engine: sa.engine.Engine, ref: DataReference):
+    def _select(self, engine: sa.engine.Engine, ref: DataReference) -> _Selects:
         sample_selection, n_violations_selection = db_access.get_numeric_gaps(
             engine,
             ref,
diff --git a/src/datajudge/constraints/row.py b/src/datajudge/constraints/row.py
index 0049a57e..eb86b35f 100644
--- a/src/datajudge/constraints/row.py
+++ b/src/datajudge/constraints/row.py
@@ -25,7 +25,7 @@ def __init__(
     def test(self, engine: sa.engine.Engine) -> TestResult:
         if self._ref is None or self._ref2 is None:
             raise ValueError()
-        self.max_missing_fraction = self._max_missing_fraction_getter(engine)
+        self._max_missing_fraction = self._max_missing_fraction_getter(engine)
         self._ref1_minus_ref2_sample, _ = db_access.get_row_difference_sample(
             engine, self._ref, self._ref2
         )
@@ -45,7 +45,7 @@ def _get_factual_value(self, engine: sa.engine.Engine) -> tuple[int, int]:
         n_rows_missing_right, selections_right = db_access.get_row_difference_count(
             engine, self._ref2, self._ref
         )
-        self.factual_selections = [*selections_left, *selections_right]
+        self._factual_selections = [*selections_left, *selections_right]
         return n_rows_missing_left, n_rows_missing_right
 
     def _get_target_value(self, engine: sa.engine.Engine) -> int:
@@ -59,11 +59,15 @@ def _get_target_value(self, engine: sa.engine.Engine) -> int:
 
     # fraction: (|T1 - T2| + |T2 - T1|) / |T1 U T2|
     def _compare(
-        self, n_rows_missing_tuple: tuple[int, int], n_rows_total: int
-    ) -> tuple[bool, str | None]:
+        # We are abusing the _compare method's interface here. Rather than receiving
+        # factual and target values, we get missing and overall values.
+        self,
+        n_rows_missing_tuple: tuple[int, int],
+        n_rows_total: int,
+    ) -> tuple[bool, str | None]:  # type: ignore[invalid-method-override]
         n_rows_missing_left, n_rows_missing_right = n_rows_missing_tuple
         missing_fraction = (n_rows_missing_left + n_rows_missing_right) / n_rows_total
-        result = missing_fraction <= self.max_missing_fraction
+        result = missing_fraction <= self._max_missing_fraction
         if result:
             return result, None
         if self._ref2 is None:
@@ -74,7 +78,7 @@ def _compare(
             sample_string = _format_sample(self._ref2_minus_ref1_sample, self._ref)
         assertion_message = (
             f"{missing_fraction} > "
-            f"{self.max_missing_fraction} of rows differ "
+            f"{self._max_missing_fraction} of rows differ "
             f"between {self._ref} and "
             f"{self._ref2}. E.g. for "
             f"{sample_string}."
@@ -103,18 +107,20 @@ def _get_target_value(self, engine: sa.engine.Engine) -> int:
 
     @cache
     def _compare(
-        self, n_rows_missing: int, n_rows_total: int
+        self,
+        n_rows_missing: int,
+        n_rows_total: int,
     ) -> tuple[bool, str | None]:
         if n_rows_total == 0:
             return True, None
         missing_fraction = n_rows_missing / n_rows_total
-        result = missing_fraction <= self.max_missing_fraction
+        result = missing_fraction <= self._max_missing_fraction
         if result:
             return result, None
         sample_string = _format_sample(self._ref1_minus_ref2_sample, self._ref)
         assertion_message = (
             f"{missing_fraction} > "
-            f"{self.max_missing_fraction} of rows of "
+            f"{self._max_missing_fraction} of rows of "
             f"{self._ref} are "
             f"not in {self._ref2}. E.g. for "
             f"{sample_string}. "
@@ -141,12 +147,16 @@ def _get_target_value(self, engine: sa.engine.Engine) -> int:
         return n_rows_total
 
     def _compare(
-        self, n_rows_missing: int, n_rows_total: int
-    ) -> tuple[bool, str | None]:
+        # We are abusing the _compare method's interface here. Rather than receiving
+        # factual and target values, we get missing and overall values.
+        self,
+        n_rows_missing: int,
+        n_rows_total: int,
+    ) -> tuple[bool, str | None]:  # type: ignore[invalid-method-override]
         if n_rows_total == 0:
             return True, None
         missing_fraction = n_rows_missing / n_rows_total
-        result = missing_fraction <= self.max_missing_fraction
+        result = missing_fraction <= self._max_missing_fraction
         if result:
             return result, None
         if self._ref2 is None:
@@ -154,7 +164,7 @@ def _compare(
         sample_string = _format_sample(self._ref2_minus_ref1_sample, self._ref2)
         assertion_message = (
             f"{missing_fraction} > "
-            f"{self.max_missing_fraction} of rows of "
+            f"{self._max_missing_fraction} of rows of "
             f"{self._ref2} are "
             f"not in {self._ref}. E.g. for "
             f"{sample_string}. "
diff --git a/src/datajudge/constraints/uniques.py b/src/datajudge/constraints/uniques.py
index e282e7b8..34d350d0 100644
--- a/src/datajudge/constraints/uniques.py
+++ b/src/datajudge/constraints/uniques.py
@@ -177,12 +177,12 @@ def __init__(self, args, name: str | None = None, cache_size=None, **kwargs):
 
     def _compare(
         self,
-        factual: tuple[list[_T], list[int]],
-        target: tuple[Collection[_T], list[int]],
+        value_factual: tuple[list[_T], list[int]],
+        value_target: tuple[Collection[_T], list[int]],
     ) -> tuple[bool, str | None]:
-        factual_values_list, _ = factual
+        factual_values_list, _ = value_factual
         factual_values = set(factual_values_list)
-        target_values_list, _ = target
+        target_values_list, _ = value_target
         target_values = set(target_values_list)
         is_subset, excess_values = _is_subset(factual_values, target_values)
         is_superset, lacking_values = _is_superset(factual_values, target_values)
@@ -214,11 +214,11 @@ def _compare(
 class UniquesSubset(Uniques):
     def _compare(
         self,
-        factual: tuple[list[_T], list[int]],
-        target: tuple[Collection[_T], list[int]],
+        value_factual: tuple[list[_T], list[int]],
+        value_target: tuple[Collection[_T], list[int]],
     ) -> tuple[bool, str | None]:
-        factual_values, factual_counts = factual
-        target_values, _ = target
+        factual_values, factual_counts = value_factual
+        target_values, _ = value_target
 
         is_subset, remainder = _subset_violation_counts(
             factual_values, factual_counts, target_values
@@ -265,11 +265,11 @@ def __init__(self, args, name: str | None = None, cache_size=None, **kwargs):
 
     def _compare(
         self,
-        factual: tuple[list[_T], list[int]],
-        target: tuple[Collection[_T], list[int]],
+        value_factual: tuple[list[_T], list[int]],
+        value_target: tuple[Collection[_T], list[int]],
     ) -> tuple[bool, str | None]:
-        factual_values, _ = factual
-        target_values, _ = target
+        factual_values, _ = value_factual
+        target_values, _ = value_target
         is_superset, remainder = _is_superset(factual_values, target_values)
         if (
             len(factual_values) > 0
@@ -317,13 +317,13 @@ def _retrieve(
 
 class NUniquesEquality(NUniques):
     def _compare(
-        self, n_uniques_factual: int, n_uniques_target: int
+        self, value_factual: int, value_target: int
     ) -> tuple[bool, str | None]:
-        result = n_uniques_factual == n_uniques_target
+        result = value_factual == value_target
         assertion_text = (
-            f"{self._ref} has {n_uniques_factual} "
+            f"{self._ref} has {value_factual} "
             f"unique(s) instead of {self._target_prefix}"
-            f"{n_uniques_target}. "
+            f"{value_target}. "
             f"{self._condition_string}"
         )
         return result, assertion_text
@@ -342,11 +342,11 @@ def __init__(
         self.max_relative_loss_getter = max_relative_loss_getter
 
     def _compare(
-        self, n_uniques_factual: int, n_uniques_target: int
+        self, value_factual: int, value_target: int
     ) -> tuple[bool, str | None]:
-        if n_uniques_target == 0 or n_uniques_factual > n_uniques_target:
+        if value_target == 0 or value_factual > value_target:
             return True, None
-        relative_loss = (n_uniques_target - n_uniques_factual) / n_uniques_target
+        relative_loss = (value_target - value_factual) / value_target
         assertion_text = (
             f"{self._ref} has lost {relative_loss} "
             f"of #uniques of table {self._ref2}. It "
@@ -372,27 +372,27 @@ def __init__(
         cache_size=None,
     ):
         super().__init__(ref, ref2=ref2, name=name, cache_size=cache_size)
-        self.max_relative_gain_getter = max_relative_gain_getter
+        self._max_relative_gain_getter = max_relative_gain_getter
 
     def _compare(
-        self, n_uniques_factual: int, n_uniques_target: int
+        self, value_factual: int, value_target: int
     ) -> tuple[bool, str | None]:
-        if n_uniques_target == 0:
+        if value_target == 0:
             return False, "Target table empty."
-        if n_uniques_factual < n_uniques_target:
+        if value_factual < value_target:
             return True, None
-        relative_gain = (n_uniques_factual - n_uniques_target) / n_uniques_target
+        relative_gain = (value_factual - value_target) / value_target
         assertion_text = (
             f"{self._ref} has {relative_gain} of "
             f"#uniques of {self._ref2}. It was only "
-            f"allowed to increase {self.max_relative_gain} . "
+            f"allowed to increase {self._max_relative_gain} . "
             f"{self._condition_string}"
         )
-        result = relative_gain <= self.max_relative_gain
+        result = relative_gain <= self._max_relative_gain
         return result, assertion_text
 
     def test(self, engine: sa.engine.Engine) -> TestResult:
-        self.max_relative_gain = self.max_relative_gain_getter(engine)
+        self._max_relative_gain = self._max_relative_gain_getter(engine)
         return super().test(engine)
 
 
@@ -448,19 +448,25 @@ def _retrieve(
 
     def _compare(
         self,
-        factual: Counter,
-        target: dict[_T, tuple[float, float]],
+        value_factual: Counter,
+        value_target: dict[_T, tuple[float, float]],
     ) -> tuple[bool, str | None]:
-        total = factual.total()
-        all_variants = factual.keys() | target.keys()
+        total = value_factual.total()
+        all_variants = value_factual.keys() | value_target.keys()
         min_counts = Counter(
-            {k: target.get(k, self._default_bounds)[0] * total for k in all_variants}
+            {
+                k: value_target.get(k, self._default_bounds)[0] * total
+                for k in all_variants
+            }
         )
         max_counts = Counter(
-            {k: target.get(k, self._default_bounds)[1] * total for k in all_variants}
+            {
+                k: value_target.get(k, self._default_bounds)[1] * total
+                for k in all_variants
+            }
         )
 
-        violations = (factual - max_counts) + (min_counts - factual)
+        violations = (value_factual - max_counts) + (min_counts - value_factual)
 
         if (
             relative_violations := violations.total() / total
@@ -471,14 +477,14 @@ def _compare(
             )
 
             for variant in violations:
-                actual_share = factual[variant] / total
-                target_share = target.get(variant, self._default_bounds)
+                actual_share = value_factual[variant] / total
+                target_share = value_target.get(variant, self._default_bounds)
                 min_required = min_counts[variant]
                 max_required = max_counts[variant]
 
                 assertion_text += (
                     f"'{variant}' with a share of {actual_share * 100}% "
-                    f"({factual[variant]} out of {total}) "
+                    f"({value_factual[variant]} out of {total}) "
                     f"while a share between {target_share[0] * 100}% ({ceil(min_required)}) "
                     f"and {target_share[1] * 100}% ({floor(max_required)}) "
                     f"is required\n"
diff --git a/src/datajudge/constraints/varchar.py b/src/datajudge/constraints/varchar.py
index 3f26be48..7938cad1 100644
--- a/src/datajudge/constraints/varchar.py
+++ b/src/datajudge/constraints/varchar.py
@@ -120,11 +120,7 @@ def test(self, engine: sa.engine.Engine) -> TestResult:
             return TestResult.failure("No regex pattern given")
 
         pattern = re.compile(self._ref_value)
-        uniques_mismatching = {
-            x
-            for x in uniques_factual
-            if not pattern.match(x)  # type: ignore
-        }
+        uniques_mismatching = {x for x in uniques_factual if not pattern.match(x)}
 
         if self._aggregated:
             n_violations = len(uniques_mismatching)
diff --git a/src/datajudge/data_source.py b/src/datajudge/data_source.py
index 47cb3416..dea2f2f3 100644
--- a/src/datajudge/data_source.py
+++ b/src/datajudge/data_source.py
@@ -3,6 +3,7 @@
 from typing import final
 
 import sqlalchemy as sa
+from sqlalchemy.sql import selectable
 
 from ._engines import is_mssql
 
@@ -12,7 +13,7 @@ class DataSource(ABC):
     def __str__(self) -> str: ...
 
     @abstractmethod
-    def _get_clause(self, engine: sa.engine.Engine) -> sa.sql.selectable.FromClause: ...
+    def _get_clause(self, engine: sa.engine.Engine) -> selectable.FromClause: ...
 
 
 @functools.lru_cache(maxsize=1)
@@ -58,7 +59,7 @@ class ExpressionDataSource(DataSource):
 
     def __init__(
         self,
-        expression: sa.sql.selectable.FromClause | sa.sql.selectable.Select,
+        expression: selectable.FromClause | selectable.Select,
         name: str,
     ):
         self._expression = expression
@@ -70,7 +71,7 @@ def __str__(self) -> str:
     def __repr__(self) -> str:
         return f"{self.__class__.__name__}(expression={self._expression!r}, name={self.name})"
 
-    def _get_clause(self, engine: sa.engine.Engine) -> sa.sql.selectable.FromClause:
+    def _get_clause(self, engine: sa.engine.Engine) -> selectable.FromClause:
         return self._expression.alias()
 
 
@@ -100,5 +101,5 @@ def __str__(self) -> str:
     def __repr__(self) -> str:
         return f"{self.__class__.__name__}(query_string={self._query_string}, name={self.name}, columns={self._columns})"
 
-    def _get_clause(self, engine: sa.engine.Engine) -> sa.sql.selectable.FromClause:
+    def _get_clause(self, engine: sa.engine.Engine) -> selectable.FromClause:
         return self.clause
diff --git a/src/datajudge/db_access.py b/src/datajudge/db_access.py
index 8907b673..0af5d484 100644
--- a/src/datajudge/db_access.py
+++ b/src/datajudge/db_access.py
@@ -320,7 +320,7 @@ def get_interval_overlaps_nd(
     start_columns: list[str],
     end_columns: list[str],
     end_included: bool,
-) -> tuple[sa.sql.selectable.CompoundSelect, sa.sql.selectable.Select]:
+) -> tuple[selectable.CompoundSelect, selectable.Select]:
     r"""Create selectables for interval overlaps in n dimensions.
 
     We define the presence of 'overlap' as presence of a non-empty intersection
@@ -1002,10 +1002,15 @@ def get_column_type(engine: sa.engine.Engine, ref: DataReference) -> tuple[Any,
 def get_primary_keys(
     engine: sa.engine.Engine, ref: DataReference
 ) -> tuple[list[str], None]:
-    table = ref.data_source._get_clause(engine)
-    # Kevin, 25/02/04
-    # Mypy complains about the following for a reason I can't follow.
-    return [column.name for column in table.primary_key.columns], None  # type: ignore
+    data_source = ref.data_source
+
+    if isinstance(data_source, TableDataSource):
+        table = data_source._get_clause(engine)
+        return [column.name for column in table.primary_key.columns], None
+
+    raise NotImplementedError(
+        f"Cannot determine primary keys of a data source of type {type(data_source)}."
+    )
 
 
 def get_row_difference_sample(
@@ -1089,7 +1094,7 @@ def get_row_mismatch(
     return result_mismatch, result_n_rows, [selection_difference, selection_n_rows]
 
 
-def duplicates(subquery: sa.sql.selectable.Subquery) -> sa.Select:
+def duplicates(subquery: sa.Subquery) -> sa.Select:
     aggregate_subquery = (
         sa.select(subquery, sa.func.count().label("n_copies"))
         .select_from(subquery)
diff --git a/src/datajudge/requirements.py b/src/datajudge/requirements.py
index be6f3f4a..9f726380 100644
--- a/src/datajudge/requirements.py
+++ b/src/datajudge/requirements.py
@@ -7,6 +7,7 @@
 )
 
 import sqlalchemy as sa
+from sqlalchemy.sql import selectable
 
 from .condition import Condition
 from .constraints import column as column_constraints
@@ -67,14 +68,14 @@ def __init__(self):
     def insert(self, index: int, value: Constraint) -> None:
         self._constraints.insert(index, value)
 
-    def __getitem__(self, i):
-        return self._constraints[i]
+    def __getitem__(self, index):
+        return self._constraints[index]
 
-    def __setitem__(self, i, o) -> None:
-        self._constraints[i] = o
+    def __setitem__(self, index, value) -> None:
+        self._constraints[index] = value
 
-    def __delitem__(self, i) -> None:
-        del self._constraints[i]
+    def __delitem__(self, index) -> None:
+        del self._constraints[index]
 
     def __len__(self) -> int:
         return len(self._constraints)
@@ -113,7 +114,7 @@ def from_raw_query(cls, query: str, name: str, columns: list[str] | None = None)
         return cls(data_source=RawQueryDataSource(query, name, columns=columns))
 
     @classmethod
-    def from_expression(cls, expression: sa.sql.selectable.FromClause, name: str):
+    def from_expression(cls, expression: selectable.FromClause, name: str):
         """Create a ``WithinRequirement`` based on a sqlalchemy expression.
 
         Any sqlalchemy object implementing the ``alias`` method can be passed as an
@@ -1377,20 +1378,20 @@ def _get_deviation_getter(
     ) -> Callable[[sa.engine.Engine], float]:
         if fix_value is None and deviation is None:
             raise ValueError("No valid gain/loss/deviation given.")
-        # The second predictate is redundant but appeases mypy since fix_value
-        # could, a priori, be None.
-        if deviation is None and fix_value is not None:
+
+        if deviation is None:
+            # Mypy doesn't understand that this condition implies fix_value
+            # not being None.
+            if fix_value is None:
+                raise ValueError()
+
             return lambda engine: fix_value
-        # The second predictate is redundant but appeases mypy since deviation
-        # could, a priori, be None.
-        if fix_value is None and deviation is not None:
+
+        if fix_value is None:
             return lambda engine: self._get_date_growth_rate(engine) + deviation
-        # This clause is redundant but appeases mypy.
-        if fix_value is not None and deviation is not None:
-            return lambda engine: max(
-                fix_value, self._get_date_growth_rate(engine) + deviation
-            )
-        raise ValueError("No valid gain/loss/deviation given.")
+        return lambda engine: max(
+            fix_value, self._get_date_growth_rate(engine) + deviation
+        )
 
     def add_n_rows_equality_constraint(
         self,
diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py
index d0e3aa8f..6e8b0701 100644
--- a/tests/integration/conftest.py
+++ b/tests/integration/conftest.py
@@ -36,7 +36,9 @@ def get_engine(backend) -> sa.engine.Engine:
     elif "snowflake" in backend:
         # cryptography is a dependency of snowflake-connector,
         # which is not present in the default environment
-        from cryptography.hazmat.primitives import serialization  # type: ignore
+        from cryptography.hazmat.primitives import (  # type: ignore[unresolved-import, import-not-found]
+            serialization,
+        )
 
         if not (private_key_env := os.getenv("SNOWFLAKE_PRIVATE_KEY")):
             raise ValueError("SNOWFLAKE_PRIVATE_KEY environment variable is not set")
diff --git a/tests/integration/test_integration.py b/tests/integration/test_integration.py
index 8e0ad7b0..cce60045 100644
--- a/tests/integration/test_integration.py
+++ b/tests/integration/test_integration.py
@@ -144,11 +144,11 @@ def test_n_rows_max_gain_between(engine, mix_table1, mix_table2, data):
         condition1,
         condition2,
     ) = data
-    req = requirements.BetweenRequirement.from_tables(  # type: ignore[misc]
+    req = requirements.BetweenRequirement.from_tables(
         *mix_table1,
         *mix_table2,
-        date_column="col_date",
-        date_column2="col_date",
+        date_column="col_date",  # type: ignore[parameter-already-assigned, misc]
+        date_column2="col_date",  # type: ignore[parameter-already-assigned, misc]
     )
     req.add_n_rows_max_gain_constraint(
         constant_max_relative_gain=constant_max_relative_gain,
diff --git a/tests/integration/test_stats.py b/tests/integration/test_stats.py
index 4ec36e8b..8337cdfc 100644
--- a/tests/integration/test_stats.py
+++ b/tests/integration/test_stats.py
@@ -1,9 +1,10 @@
 import pytest
 
-import datajudge
+from datajudge.constraints.stats import KolmogorovSmirnov2Sample
+from datajudge.data_source import TableDataSource
 from datajudge.db_access import (
     DataReference,
-    TableDataSource,
+    _cross_cdf_selection,
     is_bigquery,
     is_db2,
 )
@@ -19,9 +20,7 @@ def test_cross_cdf_selection(engine, cross_cdf_table1, cross_cdf_table2):
     tds2 = TableDataSource(database2, table2, schema2)
     ref1 = DataReference(tds1, columns=["col_int"])
     ref2 = DataReference(tds2, columns=["col_int"])
-    selection, _, _ = datajudge.db_access._cross_cdf_selection(
-        engine, ref1, ref2, "cdf", "value"
-    )
+    selection, _, _ = _cross_cdf_selection(engine, ref1, ref2, "cdf", "value")
     with engine.connect() as connection:
         result = connection.execute(selection).fetchall()
     assert result is not None and len(result) > 0
@@ -61,9 +60,7 @@ def test_ks_2sample_calculate_statistic(engine, random_normal_table, configurati
         n_samples,
         m_samples,
         _,
-    ) = datajudge.constraints.stats.KolmogorovSmirnov2Sample._calculate_statistic(
-        engine, ref, ref2
-    )
+    ) = KolmogorovSmirnov2Sample._calculate_statistic(engine, ref, ref2)
 
     assert abs(d_statistic - expected_d) <= 1e-10, (
         f"The test statistic does not match: {expected_d} vs {d_statistic}"