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  1. 1D Redmine
  2. REDMINE1D-288

[RM-8232] pb solver galaxy pls_700

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    • Type: Task
    • Status: Done (View Workflow)
    • Priority: Normal
    • Resolution: Done
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      Description

      Created on 2023-08-24 15:11:44 by Vincent Le Brun. % Done: 100

      MR: https://gitlab.lam.fr/CPF/cpf-redshift/-/merge_requests/542

      en faisant la vérification des résultats de la validation sur pfs7 avec la 0.44_RC4

      <pre>
      vizu -p 5002 /net/CESAM/amazed/validation_tests/release_0.44/output_pfs_0.44-RC4/ -r /net/CESAM/amazed/dataset/pfs7_900s/ref_pfs7_900s.csv

      </pre>
      je suis tombé la dessus sur l'objet 743481, sur le modele galaxy. Le solver avait planté avec un message :
      <pre>
      Error: INTERNAL_ERROR: Failed to identify a range including the candidate 1.08851 [/net/CESAM/amazed/amazed/amazed_rc/src/cp
      f-redshift/RedshiftLibrary/src/lib/statistics/pdfcandidatesz.cpp:155:SetIntegrationRanges]

      </pre>
      et c'est dommage vu que c'était la bonne solution...

      Conséquence de ça, vizu plante sur le display du spectre en modele galaxy et sort ce message :
      <pre>
      See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
      catalog_data["FittedLineLambda"] = (1+redshift)*catalog_data["WaveLength"]
      Traceback (most recent call last):
      File "/net/CESAM/amazed/venvs/amazed_0.44-RC4/lib/python3.9/site-packages/amazedWebServer/apiEndPoints.py", line 250, in get_fitted_data_by_rank
      som.get_dataset(dataset="continuum", object_type=object_type, rank=rank)
      File "/net/CESAM/amazed/venvs/amazed_0.44-RC4/lib64/python3.9/site-packages/pylibamazed/AbstractOutput.py", line 259, in get_dataset
      return self.object_results[object_type][dataset][rank]
      KeyError: 'continuum'
      Traceback (most recent call last):
      File "/net/CESAM/amazed/venvs/amazed_0.44-RC4/lib/python3.9/site-packages/amazedWebServer/apiEndPoints.py", line 220, in get_fitted_lines_by_rank
      fr = session.get_fitted_lines_by_rank(
      File "/net/CESAM/amazed/venvs/amazed_0.44-RC4/lib/python3.9/site-packages/AmazedOutputAnalyzer/abstractSession.py", line 452, in get_fitted_lines_by_rank
      fr = pd.DataFrame(som.get_dataset(dataset ="fitted_lines", object_type=object_type,rank=rank))
      File "/net/CESAM/amazed/venvs/amazed_0.44-RC4/lib64/python3.9/site-packages/pylibamazed/AbstractOutput.py", line 259, in get_dataset
      return self.object_results[object_type][dataset][rank]
      KeyError: 'fitted_lines'

      </pre>

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              r2j.migrate Redmine-Jira Migtation
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              r2j.migrate Redmine-Jira Migtation
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