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More requirements
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bbfrederick committed Sep 16, 2024
1 parent 4527908 commit 41b7961
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6 changes: 3 additions & 3 deletions INSTALL.rst
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Expand Up @@ -18,9 +18,9 @@ installed first:
- scikit-learn
- nibabel
- nilearn
- matplotlib
- matplotlib >= 3.3.0
- pyqt5-sip
- pyqtgraph
- pyqtgraph >= 0.12.0
- statsmodels
- tomlkit
- tqdm
Expand Down Expand Up @@ -71,7 +71,7 @@ After installing Anaconda python, install the remaining dependencies

::

conda install nibabel pyqtgraph pyfftw
conda install nibabel "pyqtgraph>=0.12.0" pyfftw


For the deep learning filter in happy, also do:
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4 changes: 2 additions & 2 deletions condasetup
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Expand Up @@ -5,7 +5,7 @@ conda activate mic
mamba install \
numpy \
scipy \
matplotlib \
matplotlib>=3.3.0 \
pandas \
pyarrow \
statsmodels \
Expand All @@ -17,7 +17,7 @@ mamba install \
pywavelets \
pyqt \
pyqt5-sip \
pyqtgraph \
pyqtgraph>=0.12.0 \
tomlkit \
tqdm

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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -31,7 +31,7 @@ dependencies = [
'nibabel',
'nilearn',
'matplotlib>=3.3.0',
'pyqtgraph>=0.11.0',
'pyqtgraph>=0.12.0',
'pyqt5-sip',
'requests',
'statsmodels',
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2 changes: 1 addition & 1 deletion setup.cfg
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Expand Up @@ -39,7 +39,7 @@ install_requires =
nilearn
matplotlib>=3.3.0
pyfftw
pyqtgraph>=0.11.0
pyqtgraph>=0.12.0
statsmodels
numba
tomlkit
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -248,7 +248,7 @@
"nibabel",
"nilearn",
"matplotlib>=3.3.0",
"pyqtgraph>=0.11.0",
"pyqtgraph>=0.12.0",
"pyqt",
"pyqt5-sip",
"requests",
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4 changes: 2 additions & 2 deletions test.toml
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Expand Up @@ -29,8 +29,8 @@ dependencies = [
'scikit-learn',
'nibabel',
'nilearn',
'matplotlib',
'pyqtgraph',
'matplotlib>=3.3.0',
'pyqtgraph>=0.12.0',
'pyqt5-sip',
'requests',
'statsmodels',
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4 changes: 2 additions & 2 deletions updateenv
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Expand Up @@ -3,7 +3,7 @@
mamba update \
numpy \
scipy \
matplotlib \
matplotlib>=3.3.0 \
pandas \
statsmodels \
scikit-learn \
Expand All @@ -14,7 +14,7 @@ mamba update \
pywavelets \
pyqt \
pyqt5-sip \
pyqtgraph \
pyqtgraph>=0.12.0 \
tqdm

#pip install tensorflow keras

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