style: Run black and isort

microview/file_finder.py

@@ -120,7 +120,6 @@ def detect_report_type(report_paths: List[Path], console) -> List[Sample]:
         console.print("\n Could not find any valid reports", style="red")
         raise Exception("Could not find any valid files.")
     else:
-
         kraken_not_in_kaiju = list(
             filter(lambda report: report not in kaiju_reports, kraken_reports)
         )

microview/parse_taxonomy.py

@@ -46,7 +46,6 @@ def parse_kaiju2table(sample_name: str, df, parsed_stats: Dict) -> None:
     Parses kaiju report
     """
     for row in df.itertuples():
-
         row_dict = {"n_reads": row.reads, "percent": row.percent}
         if row.taxon_name == "unclassified":
             parsed_stats[sample_name].update({"unclassified": row_dict})

microview/plotting.py

@@ -1,5 +1,6 @@
-from typing import Dict, Optional
 from pathlib import Path
+from typing import Dict, Optional
+
 from plotly import io
 from plotly.express import bar, colors, line, scatter
 from plotly.graph_objects import Figure
@@ -156,7 +157,9 @@ def generate_taxo_plots(tax_data: Dict, contrast_df=None) -> Dict:
 
     # TODO: Improve this check
     if contrast_df is not None and "group" in contrast_df.columns:
-        contrast_df['sample'] = [str(Path(s).name) for s in contrast_df['sample'].to_list()]
+        contrast_df["sample"] = [
+            str(Path(s).name) for s in contrast_df["sample"].to_list()
+        ]
         merged_taxas_df = merge_with_contrasts(tax_data["common taxas"], contrast_df)
 
         common_taxas = plot_common_taxas(merged_taxas_df, facet_col="group")