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Bump matplotlib version and drop Python 3.6 support.
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+30
-35
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8 files changed

+30
-35
lines changed

.github/workflows/python_ci.yml

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@@ -22,13 +22,12 @@ jobs:
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runs-on: "windows-2019"
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continue-on-error: ${{ matrix.config.experimental }}
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env:
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USING_COVERAGE: '3.6,3.7,3.8,3.9,3.10'
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USING_COVERAGE: '3.7,3.8,3.9,3.10'
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strategy:
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fail-fast: False
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matrix:
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config:
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- {python-version: "3.6", testenvs: "py36,build", experimental: False}
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- {python-version: "3.7", testenvs: "py37,build", experimental: False}
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- {python-version: "3.8", testenvs: "py38,build", experimental: False}
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- {python-version: "3.9", testenvs: "py39,build", experimental: False}

.github/workflows/python_ci_linux.yml

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@@ -23,13 +23,12 @@ jobs:
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runs-on: "ubuntu-20.04"
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continue-on-error: ${{ matrix.config.experimental }}
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env:
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USING_COVERAGE: '3.6,3.7,3.8,3.9,3.10'
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USING_COVERAGE: '3.7,3.8,3.9,3.10'
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strategy:
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fail-fast: False
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matrix:
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config:
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- {python-version: "3.6", testenvs: "py36,build", experimental: False}
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- {python-version: "3.7", testenvs: "py37,build", experimental: False}
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- {python-version: "3.8", testenvs: "py38,build", experimental: False}
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- {python-version: "3.9", testenvs: "py39,build", experimental: False}

.github/workflows/python_ci_macos.yml

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@@ -22,13 +22,12 @@ jobs:
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runs-on: "macos-latest"
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continue-on-error: ${{ matrix.config.experimental }}
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env:
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USING_COVERAGE: '3.6,3.7,3.8,3.9,3.10'
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USING_COVERAGE: '3.7,3.8,3.9,3.10'
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strategy:
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fail-fast: False
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matrix:
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config:
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- {python-version: "3.6", testenvs: "py36,build", experimental: False}
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- {python-version: "3.7", testenvs: "py37,build", experimental: False}
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- {python-version: "3.8", testenvs: "py38,build", experimental: False}
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- {python-version: "3.9", testenvs: "py39,build", experimental: False}

pyproject.toml

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@@ -44,7 +44,7 @@ base-classifiers = [
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"Topic :: Scientific/Engineering :: Visualization",
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"Topic :: Software Development :: Libraries :: Python Modules",
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]
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python-versions = [ "3.6", "3.7", "3.8", "3.9", "3.10",]
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python-versions = [ "3.7", "3.8", "3.9", "3.10",]
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python-implementations = [ "CPython",]
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platforms = [ "Windows", "macOS", "Linux",]
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license-key = "GPL-2.0-only"

repo_helper.yml

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@@ -24,7 +24,6 @@ conda_channels:
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# Versions to run tests for
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python_versions:
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- 3.6
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- 3.7
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- 3.8
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- 3.9

requirements.txt

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@@ -1,3 +1,2 @@
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matplotlib==3.2.2; platform_machine == "aarch64" and python_version == "3.6"
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matplotlib<3.4.0,>=3.2.2; platform_machine != "aarch64" or python_version > "3.6"
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matplotlib<3.6.0,>=3.2.2
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pymassspec>=2.3.0

tests/image_hashes.json

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{
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"tests.test_plot.test_plot_mass_spec_linestyle": "6d1be1cf023dd5799030d6a6361610545a662361636ec108aff545d2e3e65ba1",
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"tests.test_plot.test_plot_mass_spec_alpha": "f773f6563c99aab763eb680742445b86f6be49a4825a93c1b19fdb2b433cdad7",
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"tests.test_plot.test_plot_tic": "e3ef6b55ea0f8f683de7999dba17a11e9fbf9d90f4527864ad4c54a3d29b17b0",
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"tests.test_plot.test_plot_ic_linewidth": "535c884a0b33c2c30a7d01d0d4344e5ad723c7fa31fd00eb71b2c703b3c6c9c6",
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"tests.test_plot.test_plot_tic_label": "6353300b9b4ca60982d64970cb17b3deef77e64b04cc7b5f2d3fba718640190a",
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"tests.test_plot.test_plot_tic_linestyle": "ecd24d58973a05a7a15d45d16d85bd0aa8f066713fc4c331f2a4c20c6e61fd18",
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"tests.test_plot.test_plot_ic_multiple": "4af774dbda534b6e2e48794806762825f740dbc36df0a157a789c98f653d2c24",
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"tests.test_plot.test_plot_head2tail": "69f77aa4f980ef1bef8077024e88d29cb309432fc86dc7769506b4d4d6e96162",
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"tests.test_plot.test_plot_tic_title": "1df0bfbc6353fb634805d7cbb8fb047b6ebe9622e5c180e7edec6fac7667af33",
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"tests.test_plot.test_plot_ic_title": "62b1dfcfe480411ccb24a63c45ebec96612823e59612be23569a6f5da237210a",
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"tests.test_plot.test_plot_tic_linewidth": "a7a3c447959d182cb822822b996a8e708da02dc8023030d51a23c22d902edfed",
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"tests.test_plot.test_plot_mass_spec_width": "a8db18f19a74fc3c30e274e3546e001a715e050a55ffeb4ce1def2199cd35e08",
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"tests.test_plot.test_plot_peaks_errors": "ea3a4a1c72e2a4e38e3d44de736f8896fbf676d4a1dab97cb6fe54fa51d6bd8a",
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"tests.test_plot.test_plot_ic_linestyle": "0ba6fe34ec883b1e628e96c5267251d29cbb4f49c371f15dd026e758b9e9d5c4",
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"tests.test_plot.test_plot_ic_alpha": "d80f58dcb5aa33d0d22078fb7a416f7fbce52836dc63f5c029f57b835649b5f7",
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"tests.test_plot.test_plot_ic": "3e47688de4d65fb06f70a8f855f96a8a3c2f0ef2789268fa6aec43125fe7c7bd",
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"tests.test_plot.test_plot_peaks_with_tic": "51a7b71cf81fd5d7f2ff1cd8ee3326a8df36075c189ea2ed481ea83b3c7fa435",
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"tests.test_plot.test_plot_tic_alpha": "5552df0a3e254fd4215f345aa5fb55f88df538e23eb306c29d8347c4d0f88cae",
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"tests.test_plot.test_plot_ic_minutes": "0ed9cf46e37938f929016e5420098d90279b448b63dae64a0322da20175d33bc",
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"tests.test_plot.test_plot_mass_spec": "6d1be1cf023dd5799030d6a6361610545a662361636ec108aff545d2e3e65ba1",
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"tests.test_plot.test_plot_mass_spec_title": "e7225a3c4d1c85d83c1ee0f8a57c382df94f0a88f615817d7288a9a1e795fbd2",
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"tests.test_plot.test_plot_ic_label": "2422525c920563f71afe722f7d3712fbfef608b5a4e8b85517b9a507f482f1e9"
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"tests.test_plot.test_plot_mass_spec_linestyle": "812bcaea58879eba9a1a75d25225562616731c8a84c464dd1d7ebb0f25fd3f30",
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"tests.test_plot.test_plot_mass_spec_alpha": "001f23435ffbd3b36f2a6fbb82c21d7c21c7f7829201b349a8c44c2a85cd6c95",
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"tests.test_plot.test_plot_tic": "f096e12a028f45088ea28f33a2e439219785f1a1d6f2fa2a7a0d563933d6e292",
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"tests.test_plot.test_plot_ic_linewidth": "c4fdefaa7cd80e80ff2e4f308c347444d06c6f49bd9228625d74b6733e3a3ab7",
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"tests.test_plot.test_plot_tic_label": "3ef2bfbf0852edc0d6b93254d502c3643529a43509b33ae78765793a7b5a7b4c",
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"tests.test_plot.test_plot_tic_linestyle": "2a56d3093d5737170c9c8dccb3241de84f306c820fce72cd6d2143d5c73c8c57",
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"tests.test_plot.test_plot_ic_multiple": "298f914ab43d6186d08b82a83ce5a9275ac8d255c0a875f98d49c28b584e01b0",
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"tests.test_plot.test_plot_head2tail": "d57a90bc2a8abefafdde5a387828e522436126c4d27c560ca98736257c8c80b0",
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"tests.test_plot.test_plot_tic_title": "e3531610dcecccce22023ea8c918f2d3ea96d2c1187200d7b7d33f678428bd59",
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"tests.test_plot.test_plot_ic_title": "fbfe3deed257d4beade314f9ec3beaecb9631fa4abfb9594ad045945165028ae",
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"tests.test_plot.test_plot_tic_linewidth": "6ce05f3fc62b8ced6aff5782e01f0f2ea6ecc5288cee3eb315166d18fac0ed7c",
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"tests.test_plot.test_plot_mass_spec_width": "5c3916b3efd081ae995aed7b91c9208f3944c0052a0adb3328eb7751f08d2270",
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"tests.test_plot.test_plot_peaks_errors": "fa8564661892095b92ac9c30ff5c88dd1e244519f2f2cbb21a927d567e1e9898",
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"tests.test_plot.test_plot_ic_linestyle": "fa521221300e388a4f26a886df33e5758702fbb236fc1fb147a036e0f4968a91",
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"tests.test_plot.test_plot_ic_alpha": "237ea968ae8b7745f34319998e8b99651117437c5621552edf0c94ca6b98ee6a",
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"tests.test_plot.test_plot_ic": "e9db7c120f179403a117d8b67ed65c86ca54cff211b7e317549213cf364f557b",
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"tests.test_plot.test_plot_peaks_with_tic": "67f65e090830b498de489e7d25608f09a169c65e6df0bff176bef75cc9170037",
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"tests.test_plot.test_plot_tic_alpha": "91749309de25d93a9da9c2df093c3e9d4950c6b0c5a0ffbe38e113c87a5cd8f4",
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"tests.test_plot.test_plot_ic_minutes": "230387d0ea58f402deba80007deefd576e5e29d74b4bec0e98873564860e2d78",
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"tests.test_plot.test_plot_mass_spec": "812bcaea58879eba9a1a75d25225562616731c8a84c464dd1d7ebb0f25fd3f30",
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"tests.test_plot.test_plot_mass_spec_title": "3f729f9bc0ffd7b79031970cade3b9f85cb886eb8ea6d6c8be0edf3c7f3a7127",
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"tests.test_plot.test_plot_ic_label": "fdeb4fe47d56971312d7699a32bd593631ce2d4a17a0e60b3c8676bb21a0a32f"
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}

tox.ini

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# * check-wheel-contents
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[tox]
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envlist = py36, py37, py38, py39, py310, mypy, build
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envlist = py37, py38, py39, py310, mypy, build
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skip_missing_interpreters = True
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isolated_build = True
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requires =
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virtualenv!=20.16.0
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[envlists]
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test = py36, py37, py38, py39, py310
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test = py37, py38, py39, py310
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qa = mypy, lint
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cov = py37, coverage
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multiline-quotes = """
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docstring-quotes = """
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count = True
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min_python_version = 3.6.1
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min_python_version = 3.7
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unused-arguments-ignore-abstract-functions = True
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unused-arguments-ignore-overload-functions = True
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unused-arguments-ignore-magic-methods = True

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