Add meson and ninja to environment

pyproject.toml

@@ -33,6 +33,8 @@ pyyaml = ">=6.0"
 xarray = ">=2023"
 pint-xarray = ">=0.3"
 click = ">=8.1"
+meson = "^1.5.0"
+ninja = "^1.11.1.1"
 
 [tool.poetry.group.dev.dependencies]
 # Install pytest into all development environments

radas/adas_interface/prepare_adas_readers.py

@@ -77,7 +77,7 @@ def build_adas_file_reader(
         urllib.request.urlretrieve(query_path, output_filename)
         if verbose:
             print(f"Unpacking {output_filename} into {output_folder}")
-        shutil.unpack_archive(output_filename, output_folder)
+        shutil.unpack_archive(output_filename, output_folder, filter="data")
     else:
         if verbose:
             print(f"Reusing {query_path} ({output_filename} already exists)")

radas/cli.py

@@ -42,11 +42,17 @@
 @click.option(
     "-v", "--verbose", count=True, help="Write additional output to the command line."
 )
+@click.option(
+    "--debug",
+    is_flag=True,
+    help="Flag to enable debug mode (disables multiprocessing).",
+)
 def run_radas_cli(
     directory: Path,
     config: Optional[str],
     species: list[str],
     verbose: int,
+    debug: bool,
 ):
     """Runs the radas program.
 
@@ -56,7 +62,13 @@ def run_radas_cli(
     If species is given, it must be a valid species name (i.e. 'hydrogen').
     Otherwise, all valid species in the config.yaml file are evaluated.
     """
-    kwargs = dict(directory=directory, config=config, species=species, verbose=verbose)
+    kwargs = dict(
+        directory=directory,
+        config=config,
+        species=species,
+        verbose=verbose,
+        debug=debug,
+    )
     try:
         from ipdb import launch_ipdb_on_exception
 
@@ -71,6 +83,7 @@ def run_radas(
     config: Optional[str],
     species: list[str],
     verbose: int,
+    debug: bool,
 ):
 
     radas_dir = Path(directory)
@@ -122,16 +135,22 @@ def run_radas(
                 )
 
         output_dir.mkdir(exist_ok=True, parents=True)
-        with mp.Pool() as pool:
-            if species != ("all",):
-                datasets = {
-                    species_name: datasets[species_name] for species_name in species
-                }
-
-            pool.map(
-                partial(run_radas_computation, output_dir=output_dir, verbose=verbose),
-                [(ds) for ds in datasets.values()],
-            )
+        if not debug:
+            with mp.Pool() as pool:
+                if species != ("all",):
+                    datasets = {
+                        species_name: datasets[species_name] for species_name in species
+                    }
+
+                pool.map(
+                    partial(
+                        run_radas_computation, output_dir=output_dir, verbose=verbose
+                    ),
+                    [(ds) for ds in datasets.values()],
+                )
+        else:
+            for ds in datasets.values():
+                run_radas_computation(ds, output_dir=output_dir, verbose=verbose)
 
     if verbose:
         print(f"Generating plots and saving output to {output_dir}")