#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
#    pip-compile --output-file=requirements.txt pyproject.toml
#
asciitree==0.3.3
    # via zarr
ase==3.22.1
    # via
    #   ifes-apt-tc-data-modeling
    #   pynxtools
asteval==0.9.32
    # via lmfit
asttokens==2.4.1
    # via stack-data
blosc2==2.5.1
    # via tables
certifi==2024.2.2
    # via requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   dask
    #   pynxtools
cloudpickle==3.0.0
    # via
    #   dask
    #   hyperspy
comm==0.2.2
    # via ipykernel
contourpy==1.2.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
dask[array]==2024.3.1
    # via
    #   hyperspy
    #   kikuchipy
    #   orix
    #   pyxem
    #   rosettasciio
debugpy==1.8.1
    # via ipykernel
decorator==5.1.1
    # via
    #   ipyparallel
    #   ipython
diffpy-structure==3.1.0
    # via
    #   diffsims
    #   kikuchipy
    #   orix
diffsims==0.5.2
    # via
    #   kikuchipy
    #   pyxem
dill==0.3.8
    # via hyperspy
entrypoints==0.4
    # via ipyparallel
exceptiongroup==1.2.0
    # via ipython
executing==2.0.1
    # via stack-data
fabio==2023.10.0
    # via
    #   pyfai
    #   silx
fasteners==0.19
    # via zarr
flatdict==4.0.1
    # via pynxtools
fonttools==4.50.0
    # via matplotlib
fsspec==2024.3.0
    # via
    #   dask
    #   hyperspy
future==1.0.0
    # via uncertainties
gitdb==4.0.11
    # via gitpython
gitpython==3.1.42
    # via pynxtools
h5py==3.10.0
    # via
    #   fabio
    #   hdf5plugin
    #   hyperspy
    #   ifes-apt-tc-data-modeling
    #   kikuchipy
    #   nionswift
    #   orix
    #   pyfai
    #   pynxtools
    #   pyxem
    #   rosettasciio
    #   silx
hdf5plugin==4.4.0
    # via fabio
hyperspy==1.7.6
    # via
    #   kikuchipy
    #   pynxtools
    #   pyxem
idna==3.6
    # via requests
ifes-apt-tc-data-modeling==0.1
    # via pynxtools
imageio==2.27.0
    # via
    #   hyperspy
    #   kikuchipy
    #   nionswift
    #   nionswift-io
    #   nionui
    #   scikit-image
importlib-metadata==7.0.2
    # via
    #   dask
    #   hyperspy
    #   jupyter-client
    #   pynxtools
importlib-resources==6.3.1
    # via matplotlib
ipykernel==6.29.3
    # via ipyparallel
ipyparallel==8.7.0
    # via hyperspy
ipython==8.18.1
    # via
    #   hyperspy
    #   ipykernel
    #   ipyparallel
    #   pynxtools-xrd (pyproject.toml)
jedi==0.19.1
    # via ipython
jinja2==3.1.3
    # via hyperspy
joblib==1.3.2
    # via scikit-learn
jupyter-client==8.6.1
    # via
    #   ipykernel
    #   ipyparallel
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
kikuchipy==0.9.0
    # via pynxtools
kiwisolver==1.4.5
    # via matplotlib
lazy-loader==0.3
    # via scikit-image
llvmlite==0.42.0
    # via numba
lmfit==1.2.2
    # via pyxem
locket==1.0.0
    # via partd
lxml==5.1.0
    # via fabio
markupsafe==2.1.5
    # via jinja2
matplotlib==3.8.3
    # via
    #   ase
    #   diffsims
    #   hyperspy
    #   kikuchipy
    #   matplotlib-scalebar
    #   orix
    #   pyfai
    #   pyxem
    #   radioactivedecay
matplotlib-inline==0.1.6
    # via
    #   ipykernel
    #   ipython
matplotlib-scalebar==0.8.1
    # via orix
mergedeep==1.3.4
    # via pynxtools
mpmath==1.3.0
    # via sympy
msgpack==1.0.8
    # via blosc2
natsort==8.4.0
    # via hyperspy
ndindex==1.8
    # via blosc2
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.2.1
    # via
    #   radioactivedecay
    #   scikit-image
niondata==15.6.2
    # via
    #   nionswift
    #   nionswift-io
nionswift==16.10.0
    # via pynxtools
nionswift-io==15.2.1
    # via nionswift
nionui==7.0.3
    # via nionswift
nionutils==0.4.10
    # via
    #   niondata
    #   nionswift
    #   nionswift-io
    #   nionui
numba==0.59.0
    # via
    #   diffsims
    #   hyperspy
    #   kikuchipy
    #   orix
    #   pyxem
    #   sparse
numcodecs==0.12.1
    # via zarr
numexpr==2.9.0
    # via
    #   hyperspy
    #   pyfai
    #   pyxem
    #   tables
numpy==1.26.4
    # via
    #   ase
    #   blosc2
    #   contourpy
    #   dask
    #   diffsims
    #   fabio
    #   h5py
    #   hyperspy
    #   ifes-apt-tc-data-modeling
    #   imageio
    #   kikuchipy
    #   lmfit
    #   matplotlib
    #   niondata
    #   nionswift
    #   nionswift-io
    #   nionui
    #   numba
    #   numcodecs
    #   numexpr
    #   numpy-quaternion
    #   orix
    #   pandas
    #   pycifrw
    #   pyfai
    #   pynxtools
    #   pyxem
    #   radioactivedecay
    #   rosettasciio
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   silx
    #   sparse
    #   tables
    #   tifffile
    #   xarray
    #   zarr
numpy-quaternion==2023.0.3
    # via orix
orix==0.11.1
    # via
    #   diffsims
    #   kikuchipy
    #   pyxem
packaging==24.0
    # via
    #   dask
    #   hyperspy
    #   ipykernel
    #   matplotlib
    #   pooch
    #   scikit-image
    #   silx
    #   tables
    #   xarray
pandas==2.2.1
    # via
    #   ifes-apt-tc-data-modeling
    #   pynxtools
    #   xarray
parso==0.8.3
    # via jedi
partd==1.4.1
    # via dask
pexpect==4.9.0
    # via ipython
pillow==10.0.1
    # via
    #   fabio
    #   hyperspy
    #   imageio
    #   matplotlib
    #   nionswift
    #   scikit-image
pint==0.23
    # via
    #   hyperspy
    #   rosettasciio
platformdirs==4.2.0
    # via
    #   jupyter-core
    #   pooch
ply==3.11
    # via pycifrw
pooch==1.8.1
    # via
    #   hyperspy
    #   kikuchipy
    #   orix
prettytable==3.10.0
    # via hyperspy
prompt-toolkit==3.0.43
    # via ipython
psutil==5.9.8
    # via
    #   diffsims
    #   ipykernel
    #   ipyparallel
    #   pyxem
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.2
    # via stack-data
py-cpuinfo==9.0.0
    # via
    #   blosc2
    #   tables
pycifrw==4.4.6
    # via diffpy-structure
pyfai==2024.2.0
    # via pyxem
pygments==2.17.2
    # via ipython
pynxtools==0.1.1
    # via pynxtools-xrd (pyproject.toml)
pyparsing==3.1.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   hyperspy
    #   ipyparallel
    #   jupyter-client
    #   matplotlib
    #   pandas
    #   rosettasciio
pytz==2024.1
    # via
    #   nionswift
    #   pandas
    #   pynxtools
pytz-deprecation-shim==0.1.0.post0
    # via tzlocal
pyxem==0.16.0
    # via pynxtools
pyyaml==6.0.1
    # via
    #   dask
    #   hyperspy
    #   kikuchipy
    #   pynxtools
    #   rosettasciio
pyzmq==25.1.2
    # via
    #   ipykernel
    #   ipyparallel
    #   jupyter-client
radioactivedecay==0.4.22
    # via ifes-apt-tc-data-modeling
requests==2.31.0
    # via
    #   hyperspy
    #   pooch
scikit-image==0.22.0
    # via
    #   hyperspy
    #   kikuchipy
    #   pyxem
scikit-learn==1.4.1.post1
    # via
    #   kikuchipy
    #   pyxem
scipy==1.12.0
    # via
    #   ase
    #   diffsims
    #   hyperspy
    #   kikuchipy
    #   lmfit
    #   niondata
    #   nionswift
    #   orix
    #   pyfai
    #   pynxtools
    #   pyxem
    #   radioactivedecay
    #   scikit-image
    #   scikit-learn
    #   sparse
silx==2.0.1
    # via pyfai
six==1.16.0
    # via
    #   asttokens
    #   diffpy-structure
    #   python-dateutil
smmap==5.0.1
    # via gitdb
sparse==0.15.1
    # via hyperspy
stack-data==0.6.3
    # via ipython
sympy==1.12
    # via
    #   hyperspy
    #   radioactivedecay
tables==3.9.2
    # via ifes-apt-tc-data-modeling
threadpoolctl==3.3.0
    # via scikit-learn
tifffile==2024.2.12
    # via
    #   hyperspy
    #   scikit-image
toolz==0.12.1
    # via
    #   dask
    #   hyperspy
    #   partd
tornado==6.4
    # via
    #   ipykernel
    #   ipyparallel
    #   jupyter-client
tqdm==4.66.2
    # via
    #   diffsims
    #   hyperspy
    #   ipyparallel
    #   kikuchipy
    #   orix
    #   pyxem
traitlets==5.14.2
    # via
    #   comm
    #   ipykernel
    #   ipyparallel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
traits==6.4.3
    # via
    #   hyperspy
    #   pyxem
transforms3d==0.4.1
    # via
    #   diffsims
    #   pyxem
typing-extensions==4.10.0
    # via
    #   ipython
    #   pint
tzdata==2024.1
    # via
    #   pandas
    #   pytz-deprecation-shim
tzlocal==4.3
    # via
    #   nionswift
    #   pynxtools
uncertainties==3.1.7
    # via lmfit
urllib3==2.2.1
    # via requests
wcwidth==0.2.13
    # via
    #   prettytable
    #   prompt-toolkit
xarray==2024.2.0
    # via pynxtools
zarr==2.17.1
    # via hyperspy
zipfile37==0.1.3
    # via pynxtools
zipp==3.18.1
    # via
    #   importlib-metadata
    #   importlib-resources

# The following packages are considered to be unsafe in a requirements file:
# setuptools
