chore: remove small val filtering

Author: CharlieFModo

linopy/io.py

@@ -40,7 +40,6 @@
 concat_kwargs = dict(dim=CONCAT_DIM, coords="minimal")
 
 TQDM_COLOR = "#80bfff"
-COEFF_THRESHOLD = 1e-12
 
 
 def handle_batch(batch: list[str], f: TextIOWrapper, batch_size: int) -> list[str]:
@@ -551,10 +550,8 @@ def objective_to_file_polars(
     f.write(f"{sense}\n\nobj:\n\n".encode())
     df = m.objective.to_polars()
 
-    # Filter out zero coefficients like the regular LP version does
     if m.is_linear:
-        df_filtered = df.filter(pl.col("coeffs").abs() > COEFF_THRESHOLD)
-        objective_write_linear_terms_polars(f, df_filtered, print_variable)
+        objective_write_linear_terms_polars(f, df, print_variable)
 
     elif m.is_quadratic:
         linear_terms = df.filter(pl.col("vars1").eq(-1) | pl.col("vars2").eq(-1))
@@ -564,13 +561,9 @@ def objective_to_file_polars(
             .otherwise(pl.col("vars1"))
             .alias("vars")
         )
-        # Filter out zero coefficients
-        linear_terms = linear_terms.filter(pl.col("coeffs").abs() > COEFF_THRESHOLD)
         objective_write_linear_terms_polars(f, linear_terms, print_variable)
 
         quads = df.filter(pl.col("vars1").ne(-1) & pl.col("vars2").ne(-1))
-        # Filter out zero coefficients
-        quads = quads.filter(pl.col("coeffs").abs() > COEFF_THRESHOLD)
         objective_write_quadratic_terms_polars(f, quads, print_variable)
 
 
@@ -738,20 +731,6 @@ def constraints_to_file_polars(
         for con_slice in con.iterate_slices(slice_size):
             df = con_slice.to_polars()
 
-            # Filter out rows with zero coefficients or invalid variables - but KEEP RHS rows
-            # RHS rows have null coeffs/vars but contain the constraint sign/rhs
-            df = df.filter(
-                # Keep RHS rows (have sign/rhs but null coeffs/vars)
-                (pl.col("sign").is_not_null() & pl.col("rhs").is_not_null())
-                |
-                # OR keep valid coefficient rows
-                (
-                    (pl.col("coeffs").abs() > COEFF_THRESHOLD)
-                    & (pl.col("vars").is_not_null())
-                    & (pl.col("vars") >= 0)
-                )
-            )
-
             if df.height == 0:
                 continue
 
@@ -770,9 +749,10 @@ def constraints_to_file_polars(
             if valid.height == 0:
                 continue
 
+            # Keep only constraints that have both parts
             df = df.join(valid.select("labels"), on="labels", how="inner")
 
-            # Sort by labels for proper grouping and mark first/last occurrences
+            # Sort by labels and mark first/last occurrences
             df = df.sort("labels").with_columns(
                 [
                     pl.when(pl.col("labels").is_first_distinct())