rm minimal number of rows from tests

test/test_validation.py

@@ -2,7 +2,7 @@ import pytest
 import pandas as pd
 import gradio as gr
 from validation import validate_csv_file, validate_csv_can_be_read, validate_dataframe
-from constants import REQUIRED_COLUMNS, MINIMAL_NUMBER_OF_ROWS, ASSAY_LIST
+from constants import REQUIRED_COLUMNS, ASSAY_LIST
 
 
 class TestValidateCsvCanBeRead:
@@ -33,11 +33,10 @@ class TestValidateCsvCanBeRead:
         # Create CSV with quoted fields and enough rows
         base_row = 'test_antibody,"EVQLVESGGGLVQPGGSLRLSCAASGFTFSSYAMHWVRQAPGKGLEWVSAISGSGGSTYYADSVKGRFTISRDNSKNTLYLQMNSLRAEDTAVYYCARDYGDGYYFDYWGQGTLVTVSS","DIQMTQSPSSLSASVGDRVTITCRASQSISSYLNWYQQKPGKAPKLLIYAASTLQSGVPSRFSGSGSGTDFTLTISSLQPEDFATYYCQQSYSTPFTFGQGTKVEIK",95.2,0.85,0.92,0.78,0.81,72.5'
         csv_content = "antibody_name,vh_protein_sequence,vl_protein_sequence,SEC %Monomer,HIC,PR_CHO,AC-SINS_pH6.0,AC-SINS_pH7.4,Tm\n"
-        csv_content += "\n".join([base_row] * MINIMAL_NUMBER_OF_ROWS)
+        csv_content += "\n".join([base_row] * 10)
 
         df = validate_csv_can_be_read(csv_content)
         assert isinstance(df, pd.DataFrame)
-        assert len(df) == MINIMAL_NUMBER_OF_ROWS
 
 
 class TestValidateDataframe: