Merge pull request #251 from cta-observatory/update_requirements

Update requirements

README.rst

@@ -4,34 +4,34 @@ magic-cta-pipe
 
 .. container::
 
-    |Actions Status| |PyPI Status| |Documentation Status| |Pre-Commit| |isort Status| |black|
+    |Actions Status| |PyPI Status| |Conda Status| |Documentation Status| |Pre-Commit| |isort Status| |black|
 
 Repository for the analysis of MAGIC and MAGIC+LST1 data, based on `ctapipe <https://github.com/cta-observatory/ctapipe>`_.
 
 * Code: https://github.com/cta-observatory/magic-cta-pipe
 * Docs (preliminary): https://magic-cta-pipe.readthedocs.io/
 
-v0.5.0 of *magic-cta-pipe* provides all the functionalities to perform a MAGIC+LST-1 or a MAGIC-only analysis. Both types of analyses can be performed using the scripts within the *lst1_magic* folder.
+v0.5.1 of *magic-cta-pipe* provides all the functionalities to perform a MAGIC+LST-1 or a MAGIC-only analysis. Both types of analyses can be performed using the scripts within the *lst1_magic* folder.
 See `here <https://magic-cta-pipe.readthedocs.io/en/latest/user-guide/magic-lst-scripts.html>`_ for more details on how to run the analysis.
 
-v0.5.0 is based on *ctapipe* v0.19.x and *cta-lstchain* v0.10.x.
+v0.5.1 is based on *ctapipe* v0.19.x and *cta-lstchain* v0.10.x (with 5<=x<12).
 
 **NOTE ON OLD RELEASES**
 
 v0.3.1 of *magic-cta-pipe* was the last release before the cleanup of old files. Also, it was the last one supporting ctapipe v0.12.
-In order to exploit fully the new functionalities provided by *ctapipe*, use always the latest stable release of *magic-cta-pipe* (currently v0.5.0).
-v0.5.0 contains backward incompatible changes with respect to v0.3.1. Therefore, you cannot mix analyses performed with the two releases.
+In order to exploit fully the new functionalities provided by *ctapipe*, use always the latest stable release of *magic-cta-pipe* (currently v0.5.1).
+v0.5.1 contains backward incompatible changes with respect to v0.3.1. Therefore, you cannot mix analyses performed with the two releases.
 
 **COMPATIBILITY OF MAGIC-CTA-PIPE WITH LSTCHAIN DATA**
 
-At the moment of the release v0.5.0 of *magic-cta-pipe*, some LST-1 data are processed with *cta-lstchain* v0.9.x,
-while the most recent ones are processed with v0.10.x. v0.5.0 of *magic-cta-pipe* allows to read in LST data files
+At the moment of the release v0.5.1 of *magic-cta-pipe*, some LST-1 data are processed with *cta-lstchain* v0.9.x,
+while the most recent ones are processed with v0.10.x. v0.5.1 of *magic-cta-pipe* allows to read in LST data files
 created with both v0.9.x and v0.10.x, so that you do not need to use different versions of *magic-cta-pipe* to
 process LST data.
 
 Note that there are quite a lot of differences between v0.3.1 and v0.4.x, like for the telescope combinations definition,
 the way IRF are created (due to different *pyirf* versions) and so on. Therefore it may not be straightforward to stack the
-data at high level. We recommend to use only v0.5.0 for the processing, so that there will be no mismatches during the analysis.
+data at high level. We recommend to use only v0.5.1 for the processing, so that there will be no mismatches during the analysis.
 
 Installation for users
 ----------------------
@@ -65,6 +65,10 @@ Developers should follow the development install instructions found in the
     :target: https://pypi.org/project/magic-cta-pipe
     :alt: magic-cta-pipe PyPI Status
 
+.. |Conda Status| image:: https://anaconda.org/conda-forge/magic-cta-pipe/badges/version.svg
+    :target: https://anaconda.org/conda-forge/magic-cta-pipe
+    :alt: magic-cta-pipe Conda Status
+
 .. |Documentation Status| image:: https://readthedocs.org/projects/magic-cta-pipe/badge/?version=latest&style=flat
     :target: https://magic-cta-pipe.readthedocs.io/en/latest/
     :alt: magic-cta-pipe documentation Status

docs/_static/switcher.json

@@ -9,6 +9,11 @@
         "version": "stable",
         "url": "https://magic-cta-pipe.readthedocs.io/en/stable/"
     },
+    {
+        "name": "v0.5.1",
+        "version": "v0.5.1",
+        "url": "https://magic-cta-pipe.readthedocs.io/en/v0.5.1/"
+    },
     {
         "name": "v0.5.0",
         "version": "v0.5.0",

docs/index.rst

@@ -27,14 +27,14 @@ Check out the :doc:`user-guide/index` section for the analysis steps, including
 
 .. note::
 
-   At the moment of the release v0.5.0 of *magic-cta-pipe*, some LST-1 data are processed with *cta-lstchain* v0.9.x,
-   while the most recent ones are processed with v0.10.x. v0.5.0 of *magic-cta-pipe* allows to read in LST data files
+   At the moment of the release v0.5.1 of *magic-cta-pipe*, some LST-1 data are processed with *cta-lstchain* v0.9.x,
+   while the most recent ones are processed with v0.10.x. v0.5.1 of *magic-cta-pipe* allows to read in LST data files
    created with both v0.9.x and v0.10.x, so that you do not need to use different versions of *magic-cta-pipe* to
    process LST data.
 
    Note that there are quite a lot of differences between v0.3.1 and v0.4.x, like for the telescope combinations definition,
    the way IRF are created (due to different *pyirf* versions) and so on. Therefore it may not be straightforward to stack the
-   data at high level. We recommend to use only v0.5.0 for the processing, so that there will be no mismatches during the analysis.
+   data at high level. We recommend to use only v0.5.1 for the processing, so that there will be no mismatches during the analysis.
 
 Contents
 --------

environment.yml

@@ -27,7 +27,7 @@ dependencies:
   - pre-commit
   - toml
   - tomli
-  - protobuf=3.20
+  - protozfits=2.5
   - pydata-sphinx-theme
   - pyparsing
   - psutil
@@ -48,4 +48,4 @@ dependencies:
   - pymongo
   - pyirf~=0.10.0
   - ctapipe-io-magic~=0.5.4
-  - lstchain~=0.10.5
+  - lstchain>=0.10.5,<0.10.12

setup.cfg

@@ -29,7 +29,7 @@ python_requires = >=3.9
 zip_safe = False
 install_requires =
     ctapipe ~=0.19.2
-    lstchain ~=0.10.5
+    lstchain >=0.10.5, <0.10.12
     ctaplot ~=0.6.4
     ctapipe_io_magic ~=0.5.4
     gammapy ~=1.1
@@ -43,10 +43,10 @@ install_requires =
     h5py
     iminuit >=2
     joblib ~=1.2.0
-    matplotlib ~=3.0
+    matplotlib ~=3.7
     numba
     numpy
-    protobuf ~=3.20.0
+    protozfits >=2.5,<3
     scipy >=1.8, <1.12
     scikit-learn ~=1.2
     tables