Pin mkdocs-jupyter to 0.25.0, small timeseries fix for cli (#486)

* Pin `mkdocs-jupyter` to 0.25.0

danielfrg/mkdocs-jupyter#212 seems to affect the latest so math doesnt render

* remove unneeded required in timeseries if providing manual reference

* only create cor/conncomp reader if doing `L2`

* try earlier

docs/requirements.txt

@@ -1,7 +1,7 @@
 markdown
 mkdocs
 mkdocs-gen-files
-mkdocs-jupyter
+mkdocs-jupyter==0.25.0
 mkdocs-literate-nav
 mkdocs-material
 mkdocs-section-index

src/dolphin/_cli_timeseries.py

@@ -62,7 +62,6 @@ def get_parser(subparser=None, subcommand_name="timeseries") -> argparse.Argumen
             "A file with the same size as each raster, like amplitude dispersion or "
             "temporal coherence to find reference point"
         ),
-        required=True,
     )
     parser.add_argument(
         "--condition",

src/dolphin/timeseries.py

@@ -964,7 +964,7 @@ def invert_unw_network(
     cor_vrt_name = Path(output_dir) / "cor_network.vrt"
     conncomp_vrt_name = Path(output_dir) / "conncomp_network.vrt"
 
-    if conncomp_file_list is not None:
+    if conncomp_file_list is not None and method == "L2":
         conncomp_reader = io.VRTStack(
             file_list=conncomp_file_list,
             outfile=conncomp_vrt_name,
@@ -973,7 +973,7 @@ def invert_unw_network(
         )
         readers = [unw_reader, conncomp_reader]
         logger.info("Masking unw pixels during inversion using connected components.")
-    elif cor_file_list is not None:
+    elif cor_file_list is not None and method == "L2":
         cor_reader = io.VRTStack(
             file_list=cor_file_list, outfile=cor_vrt_name, skip_size_check=True
         )