generate new requirements

Author: MarJMue

docs/requirements.txt

@@ -10,12 +10,6 @@ anywidget==0.9.15 \
     # via
     #   -r requirements/dev-requirements.txt
     #   pyelli (pyproject.toml)
-appnope==0.1.4 \
-    --hash=sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee \
-    --hash=sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c
-    # via
-    #   -r requirements/dev-requirements.txt
-    #   ipykernel
 asteval==1.0.6 \
     --hash=sha256:1aa8e7304b2e171a90d64dd269b648cacac4e46fe5de54ac0db24776c0c4a19f \
     --hash=sha256:5e119ed306e39199fd99c881cea0e306b3f3807f050c9be79829fe274c6378dc
@@ -783,12 +777,6 @@ myst-parser==4.0.1 \
     --hash=sha256:5cfea715e4f3574138aecbf7d54132296bfd72bb614d31168f48c477a830a7c4 \
     --hash=sha256:9134e88959ec3b5780aedf8a99680ea242869d012e8821db3126d427edc9c95d
     # via pyelli (pyproject.toml)
-narwhals==1.30.0 \
-    --hash=sha256:0c50cc67a5404da501302882838ec17dce51703d22cd8ad89162d6f60ea0bb19 \
-    --hash=sha256:443aa0a1abfae89bc65a6b888a7e310a03d1818bfb2ccd61c150199a5f954c17
-    # via
-    #   -r requirements/dev-requirements.txt
-    #   plotly
 nbclient==0.10.2 \
     --hash=sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d \
     --hash=sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193
@@ -1044,9 +1032,9 @@ platformdirs==4.3.6 \
     #   jupyter-core
     #   pint
     #   virtualenv
-plotly==6.0.0 \
-    --hash=sha256:c4aad38b8c3d65e4a5e7dd308b084143b9025c2cc9d5317fc1f1d30958db87d3 \
-    --hash=sha256:f708871c3a9349a68791ff943a5781b1ec04de7769ea69068adcd9202e57653a
+plotly==5.24.1 \
+    --hash=sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae \
+    --hash=sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089
     # via
     #   -r requirements/dev-requirements.txt
     #   pyelli (pyproject.toml)
@@ -1721,6 +1709,12 @@ stack-data==0.6.3 \
     # via
     #   -r requirements/dev-requirements.txt
     #   ipython
+tenacity==9.0.0 \
+    --hash=sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b \
+    --hash=sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539
+    # via
+    #   -r requirements/dev-requirements.txt
+    #   plotly
 tomli==2.2.1 \
     --hash=sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6 \
     --hash=sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd \

requirements/dev-requirements.txt

@@ -6,10 +6,6 @@ anywidget==0.9.15 \
     # via
     #   -r requirements/fitting-requirements.txt
     #   pyelli (pyproject.toml)
-appnope==0.1.4 \
-    --hash=sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee \
-    --hash=sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c
-    # via ipykernel
 asteval==1.0.6 \
     --hash=sha256:1aa8e7304b2e171a90d64dd269b648cacac4e46fe5de54ac0db24776c0c4a19f \
     --hash=sha256:5e119ed306e39199fd99c881cea0e306b3f3807f050c9be79829fe274c6378dc
@@ -543,12 +539,6 @@ matplotlib-inline==0.1.7 \
     #   -r requirements/fitting-requirements.txt
     #   ipykernel
     #   ipython
-narwhals==1.30.0 \
-    --hash=sha256:0c50cc67a5404da501302882838ec17dce51703d22cd8ad89162d6f60ea0bb19 \
-    --hash=sha256:443aa0a1abfae89bc65a6b888a7e310a03d1818bfb2ccd61c150199a5f954c17
-    # via
-    #   -r requirements/fitting-requirements.txt
-    #   plotly
 nbclient==0.10.2 \
     --hash=sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d \
     --hash=sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193
@@ -792,9 +782,9 @@ platformdirs==4.3.6 \
     #   jupyter-core
     #   pint
     #   virtualenv
-plotly==6.0.0 \
-    --hash=sha256:c4aad38b8c3d65e4a5e7dd308b084143b9025c2cc9d5317fc1f1d30958db87d3 \
-    --hash=sha256:f708871c3a9349a68791ff943a5781b1ec04de7769ea69068adcd9202e57653a
+plotly==5.24.1 \
+    --hash=sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae \
+    --hash=sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089
     # via
     #   -r requirements/fitting-requirements.txt
     #   pyelli (pyproject.toml)
@@ -1379,6 +1369,12 @@ stack-data==0.6.3 \
     # via
     #   -r requirements/fitting-requirements.txt
     #   ipython
+tenacity==9.0.0 \
+    --hash=sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b \
+    --hash=sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539
+    # via
+    #   -r requirements/fitting-requirements.txt
+    #   plotly
 tomli==2.2.1 \
     --hash=sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6 \
     --hash=sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd \

requirements/fitting-requirements.txt

@@ -350,10 +350,6 @@ matplotlib-inline==0.1.7 \
     --hash=sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90 \
     --hash=sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca
     # via ipython
-narwhals==1.30.0 \
-    --hash=sha256:0c50cc67a5404da501302882838ec17dce51703d22cd8ad89162d6f60ea0bb19 \
-    --hash=sha256:443aa0a1abfae89bc65a6b888a7e310a03d1818bfb2ccd61c150199a5f954c17
-    # via plotly
 numpy==2.2.3 \
     --hash=sha256:0391ea3622f5c51a2e29708877d56e3d276827ac5447d7f45e9bc4ade8923c52 \
     --hash=sha256:12c045f43b1d2915eca6b880a7f4a256f59d62df4f044788c8ba67709412128d \
@@ -564,9 +560,9 @@ platformdirs==4.3.6 \
     # via
     #   -r requirements/requirements.txt
     #   pint
-plotly==6.0.0 \
-    --hash=sha256:c4aad38b8c3d65e4a5e7dd308b084143b9025c2cc9d5317fc1f1d30958db87d3 \
-    --hash=sha256:f708871c3a9349a68791ff943a5781b1ec04de7769ea69068adcd9202e57653a
+plotly==5.24.1 \
+    --hash=sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae \
+    --hash=sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089
     # via pyelli (pyproject.toml)
 prompt-toolkit==3.0.50 \
     --hash=sha256:544748f3860a2623ca5cd6d2795e7a14f3d0e1c3c9728359013f79877fc89bab \
@@ -846,6 +842,10 @@ stack-data==0.6.3 \
     --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \
     --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695
     # via ipython
+tenacity==9.0.0 \
+    --hash=sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b \
+    --hash=sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539
+    # via plotly
 traitlets==5.14.3 \
     --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \
     --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f