mirror of
https://github.com/vale981/master-thesis
synced 2025-03-05 10:01:43 -05:00
update 07 deps
This commit is contained in:
parent
0f6287e854
commit
f378313ccb
2 changed files with 1949 additions and 83 deletions
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@ -356,7 +356,7 @@ testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-co
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[[package]]
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name = "fonttools"
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version = "4.33.2"
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version = "4.33.3"
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description = "Tools to manipulate font files"
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category = "main"
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optional = false
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@ -452,6 +452,7 @@ develop = false
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[package.dependencies]
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beartype = "^0.10.1"
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binfootprint = {git = "https://github.com/vale981/binfootprint", branch = "master"}
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click = "==8.0.4"
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click-spinner = "^0.1.10"
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coloredlogs = "^15.0.1"
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h5py = "^3.6.0"
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@ -469,7 +470,7 @@ typer = "^0.4.0"
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type = "git"
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url = "git@gitlab.hrz.tu-chemnitz.de:s8896854--tu-dresden.de/hops.git"
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reference = "time_dep_coupling"
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resolved_reference = "02b50c653956165d3a7bf9336ae9f229c7306503"
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resolved_reference = "353fced4457345a39bd0ace8414a4c7262a8fb36"
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[[package]]
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name = "hopsflow"
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@ -541,7 +542,7 @@ test = ["pytest (>=6.0)", "pytest-cov", "flaky", "ipyparallel", "pre-commit", "p
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[[package]]
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name = "ipython"
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version = "8.2.0"
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version = "8.3.0"
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description = "IPython: Productive Interactive Computing"
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category = "main"
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optional = false
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@ -619,7 +620,7 @@ testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"]
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[[package]]
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name = "jinja2"
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version = "3.1.1"
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version = "3.1.2"
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description = "A very fast and expressive template engine."
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category = "main"
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optional = false
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@ -633,7 +634,7 @@ i18n = ["Babel (>=2.7)"]
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[[package]]
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name = "jsonschema"
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version = "4.4.0"
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version = "4.5.1"
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description = "An implementation of JSON Schema validation for Python"
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category = "main"
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optional = false
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@ -665,7 +666,7 @@ qtconsole = "*"
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[[package]]
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name = "jupyter-client"
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version = "7.2.2"
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version = "7.3.1"
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description = "Jupyter protocol implementation and client libraries"
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category = "main"
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optional = false
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@ -765,7 +766,7 @@ python-versions = ">=3.7"
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[[package]]
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name = "matplotlib"
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version = "3.5.1"
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version = "3.5.2"
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description = "Python plotting package"
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category = "main"
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optional = false
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@ -831,7 +832,7 @@ python-versions = "*"
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[[package]]
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name = "nbclient"
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version = "0.6.0"
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version = "0.6.3"
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description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
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category = "main"
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optional = false
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@ -844,7 +845,7 @@ nest-asyncio = "*"
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traitlets = ">=5.0.0"
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[package.extras]
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sphinx = ["mock", "moto", "myst-parser", "Sphinx (>=1.7)", "sphinx-book-theme"]
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sphinx = ["autodoc-traits", "mock", "moto", "myst-parser", "Sphinx (>=1.7)", "sphinx-book-theme"]
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test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "ipywidgets (<8.0.0)", "mypy", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"]
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[[package]]
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@ -882,7 +883,7 @@ webpdf = ["pyppeteer (>=1,<1.1)"]
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[[package]]
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name = "nbformat"
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version = "5.3.0"
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version = "5.4.0"
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description = "The Jupyter Notebook format"
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category = "main"
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optional = false
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@ -892,7 +893,7 @@ python-versions = ">=3.7"
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fastjsonschema = "*"
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jsonschema = ">=2.6"
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jupyter-core = "*"
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traitlets = ">=4.1"
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traitlets = ">=5.1"
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[package.extras]
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test = ["check-manifest", "testpath", "pytest", "pre-commit"]
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@ -1042,7 +1043,7 @@ test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytes
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[[package]]
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name = "prettytable"
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version = "3.2.0"
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version = "3.3.0"
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description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
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category = "main"
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optional = false
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@ -1178,7 +1179,7 @@ six = ">=1.5"
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[[package]]
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name = "pywin32"
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version = "303"
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version = "304"
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description = "Python for Window Extensions"
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category = "main"
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optional = false
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@ -1236,17 +1237,17 @@ test = ["flaky", "pytest", "pytest-qt"]
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[[package]]
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name = "qtpy"
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version = "2.0.1"
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version = "2.1.0"
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description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
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category = "main"
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optional = false
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python-versions = ">=3.6"
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python-versions = ">=3.7"
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[package.dependencies]
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packaging = "*"
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[package.extras]
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test = ["pytest (>=6.0.0)", "pytest-cov (>=3.0.0)", "pytest-qt"]
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test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
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[[package]]
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name = "qutip"
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@ -1402,7 +1403,7 @@ tests = ["pytest", "typeguard", "pygments", "littleutils", "cython"]
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[[package]]
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name = "stocproc"
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version = "1.0.5"
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version = "1.0.6"
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description = "Generate continuous time stationary stochastic processes from a given auto correlation function."
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category = "main"
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optional = false
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@ -1419,7 +1420,7 @@ scipy = "^1.7.3"
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type = "git"
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url = "https://github.com/vale981/stocproc"
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reference = "master"
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resolved_reference = "20dee534d76db6f9b9656250dd594db36c5542aa"
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resolved_reference = "9e32e3d6ae1740f19e1d0905e46389a2f20e7a06"
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[[package]]
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name = "terminado"
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@ -1799,8 +1800,8 @@ filelock = [
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{file = "filelock-3.6.0.tar.gz", hash = "sha256:9cd540a9352e432c7246a48fe4e8712b10acb1df2ad1f30e8c070b82ae1fed85"},
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]
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fonttools = [
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{file = "fonttools-4.33.2-py3-none-any.whl", hash = "sha256:b4da40696829845ea8c1cb33ce51c552179754cbee7ab4e8b96a6bcf421f437a"},
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{file = "fonttools-4.33.2.zip", hash = "sha256:696fe922a271584c3ec8325ba31d4001a4fd6c4953b22900b767f1cb53ce1044"},
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{file = "fonttools-4.33.3-py3-none-any.whl", hash = "sha256:f829c579a8678fa939a1d9e9894d01941db869de44390adb49ce67055a06cc2a"},
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{file = "fonttools-4.33.3.zip", hash = "sha256:c0fdcfa8ceebd7c1b2021240bd46ef77aa8e7408cf10434be55df52384865f8e"},
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]
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frozenlist = [
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{file = "frozenlist-1.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2257aaba9660f78c7b1d8fea963b68f3feffb1a9d5d05a18401ca9eb3e8d0a3"},
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@ -1946,8 +1947,8 @@ ipykernel = [
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{file = "ipykernel-6.13.0.tar.gz", hash = "sha256:0e28273e290858393e86e152b104e5506a79c13d25b951ac6eca220051b4be60"},
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]
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ipython = [
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{file = "ipython-8.2.0-py3-none-any.whl", hash = "sha256:1b672bfd7a48d87ab203d9af8727a3b0174a4566b4091e9447c22fb63ea32857"},
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{file = "ipython-8.2.0.tar.gz", hash = "sha256:70e5eb132cac594a34b5f799bd252589009905f05104728aea6a403ec2519dc1"},
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{file = "ipython-8.3.0-py3-none-any.whl", hash = "sha256:341456643a764c28f670409bbd5d2518f9b82c013441084ff2c2fc999698f83b"},
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{file = "ipython-8.3.0.tar.gz", hash = "sha256:807ae3cf43b84693c9272f70368440a9a7eaa2e7e6882dad943c32fbf7e51402"},
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]
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ipython-genutils = [
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{file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"},
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@ -1962,12 +1963,12 @@ jedi = [
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{file = "jedi-0.18.1.tar.gz", hash = "sha256:74137626a64a99c8eb6ae5832d99b3bdd7d29a3850fe2aa80a4126b2a7d949ab"},
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]
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jinja2 = [
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{file = "Jinja2-3.1.1-py3-none-any.whl", hash = "sha256:539835f51a74a69f41b848a9645dbdc35b4f20a3b601e2d9a7e22947b15ff119"},
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{file = "Jinja2-3.1.1.tar.gz", hash = "sha256:640bed4bb501cbd17194b3cace1dc2126f5b619cf068a726b98192a0fde74ae9"},
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{file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
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{file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
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]
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jsonschema = [
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{file = "jsonschema-4.4.0-py3-none-any.whl", hash = "sha256:77281a1f71684953ee8b3d488371b162419767973789272434bbc3f29d9c8823"},
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{file = "jsonschema-4.4.0.tar.gz", hash = "sha256:636694eb41b3535ed608fe04129f26542b59ed99808b4f688aa32dcf55317a83"},
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{file = "jsonschema-4.5.1-py3-none-any.whl", hash = "sha256:71b5e39324422543546572954ce71c67728922c104902cb7ce252e522235b33f"},
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{file = "jsonschema-4.5.1.tar.gz", hash = "sha256:7c6d882619340c3347a1bf7315e147e6d3dae439033ae6383d6acb908c101dfc"},
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]
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jupyter = [
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{file = "jupyter-1.0.0-py2.py3-none-any.whl", hash = "sha256:5b290f93b98ffbc21c0c7e749f054b3267782166d72fa5e3ed1ed4eaf34a2b78"},
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@ -1975,8 +1976,8 @@ jupyter = [
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{file = "jupyter-1.0.0.zip", hash = "sha256:3e1f86076bbb7c8c207829390305a2b1fe836d471ed54be66a3b8c41e7f46cc7"},
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]
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jupyter-client = [
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{file = "jupyter_client-7.2.2-py3-none-any.whl", hash = "sha256:44045448eadc12493d819d965eb1dc9d10d1927698adbb9b14eb9a3a4a45ba53"},
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{file = "jupyter_client-7.2.2.tar.gz", hash = "sha256:8fdbad344a8baa6a413d86d25bbf87ce21cb2b4aa5a8e0413863b9754eb8eb8a"},
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{file = "jupyter_client-7.3.1-py3-none-any.whl", hash = "sha256:404abe552540aff3527e66e16beb114b6b4ff58479d51a301f4eb9701e4f52ef"},
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{file = "jupyter_client-7.3.1.tar.gz", hash = "sha256:05d4ff6a0ade25138c6bb0fbeac7ddc26b5fe835e7dd816b64b4a45b931bdc0b"},
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]
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jupyter-console = [
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{file = "jupyter_console-6.4.3-py3-none-any.whl", hash = "sha256:e630bcb682c0088dda45688ad7c2424d4a825c8acf494cb036ced03ed0424841"},
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@ -2085,41 +2086,41 @@ markupsafe = [
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{file = "MarkupSafe-2.1.1.tar.gz", hash = "sha256:7f91197cc9e48f989d12e4e6fbc46495c446636dfc81b9ccf50bb0ec74b91d4b"},
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]
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matplotlib = [
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{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:456cc8334f6d1124e8ff856b42d2cc1c84335375a16448189999496549f7182b"},
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{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8a77906dc2ef9b67407cec0bdbf08e3971141e535db888974a915be5e1e3efc6"},
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{file = "matplotlib-3.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e70ae6475cfd0fad3816dcbf6cac536dc6f100f7474be58d59fa306e6e768a4"},
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{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:53273c5487d1c19c3bc03b9eb82adaf8456f243b97ed79d09dded747abaf1235"},
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{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e3b6f3fd0d8ca37861c31e9a7cab71a0ef14c639b4c95654ea1dd153158bf0df"},
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{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8c87cdaf06fd7b2477f68909838ff4176f105064a72ca9d24d3f2a29f73d393"},
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{file = "matplotlib-3.5.1-cp310-cp310-win32.whl", hash = "sha256:e2f28a07b4f82abb40267864ad7b3a4ed76f1b1663e81c7efc84a9b9248f672f"},
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{file = "matplotlib-3.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:d70a32ee1f8b55eed3fd4e892f0286df8cccc7e0475c11d33b5d0a148f5c7599"},
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{file = "matplotlib-3.5.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:68fa30cec89b6139dc559ed6ef226c53fd80396da1919a1b5ef672c911aaa767"},
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{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e3484d8455af3fdb0424eae1789af61f6a79da0c80079125112fd5c1b604218"},
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{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e293b16cf303fe82995e41700d172a58a15efc5331125d08246b520843ef21ee"},
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{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e3520a274a0e054e919f5b3279ee5dbccf5311833819ccf3399dab7c83e90a25"},
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{file = "matplotlib-3.5.1-cp37-cp37m-win32.whl", hash = "sha256:2252bfac85cec7af4a67e494bfccf9080bcba8a0299701eab075f48847cca907"},
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{file = "matplotlib-3.5.1-cp37-cp37m-win_amd64.whl", hash = "sha256:abf67e05a1b7f86583f6ebd01f69b693b9c535276f4e943292e444855870a1b8"},
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{file = "matplotlib-3.5.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6c094e4bfecd2fa7f9adffd03d8abceed7157c928c2976899de282f3600f0a3d"},
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{file = "matplotlib-3.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:506b210cc6e66a0d1c2bb765d055f4f6bc2745070fb1129203b67e85bbfa5c18"},
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{file = "matplotlib-3.5.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b04fc29bcef04d4e2d626af28d9d892be6aba94856cb46ed52bcb219ceac8943"},
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{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:577ed20ec9a18d6bdedb4616f5e9e957b4c08563a9f985563a31fd5b10564d2a"},
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{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e486f60db0cd1c8d68464d9484fd2a94011c1ac8593d765d0211f9daba2bd535"},
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{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b71f3a7ca935fc759f2aed7cec06cfe10bc3100fadb5dbd9c435b04e557971e1"},
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{file = "matplotlib-3.5.1-cp38-cp38-win32.whl", hash = "sha256:d24e5bb8028541ce25e59390122f5e48c8506b7e35587e5135efcb6471b4ac6c"},
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{file = "matplotlib-3.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:778d398c4866d8e36ee3bf833779c940b5f57192fa0a549b3ad67bc4c822771b"},
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{file = "matplotlib-3.5.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bb1c613908f11bac270bc7494d68b1ef6e7c224b7a4204d5dacf3522a41e2bc3"},
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|
@ -2174,16 +2175,16 @@ mypy-extensions = [
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nest-asyncio = [
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@ -2288,8 +2289,8 @@ platformdirs = [
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|
||||
{file = "pywinpty-2.0.5-cp310-none-win_amd64.whl", hash = "sha256:f86c76e2881c37e69678cbbf178109f8da1fa8584db24d58e1b9369b0276cfcb"},
|
||||
|
|
@ -2524,8 +2527,8 @@ qtconsole = [
|
|||
{file = "qtconsole-5.3.0.tar.gz", hash = "sha256:8e3520fdc75e46abc4cc6cffeca16fa2652754109b8ae839fa28e27d1eba5625"},
|
||||
]
|
||||
qtpy = [
|
||||
{file = "QtPy-2.0.1-py3-none-any.whl", hash = "sha256:d93f2c98e97387fcc9d623d509772af5b6c15ab9d8f9f4c5dfbad9a73ad34812"},
|
||||
{file = "QtPy-2.0.1.tar.gz", hash = "sha256:adfd073ffbd2de81dc7aaa0b983499ef5c59c96adcfdcc9dea60d42ca885eb8f"},
|
||||
{file = "QtPy-2.1.0-py3-none-any.whl", hash = "sha256:aee0586081f943029312becece9f63977b0a9e3788f77a6ac8cc74802bb173d6"},
|
||||
{file = "QtPy-2.1.0.tar.gz", hash = "sha256:ca8cd4217175186344299ee4c0f7e7adcf362c70852ba35b255a534077025c06"},
|
||||
]
|
||||
qutip = [
|
||||
{file = "qutip-4.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:89694760b20b2d15246871ed0adeb84fa89a1d3f12a478159a82290ee1b51e6a"},
|
||||
|
|
|
|||
1863
python/energy_flow_proper/ergo_stuff/poetry.lock
generated
Normal file
1863
python/energy_flow_proper/ergo_stuff/poetry.lock
generated
Normal file
File diff suppressed because it is too large
Load diff
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Add table
Reference in a new issue