fix: Fix main compilation failure (#21242)

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- Closes #.

## Rationale for this change

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Due to parallel commits' conflict in #21211 and #21160, the CI is
failing, this PR fixes the issue.

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Author: 2010YOUY01

datafusion/physical-expr-common/src/metrics/baseline.rs

@@ -180,7 +180,7 @@ impl BaselineMetrics {
                 },
                 None,
             )
-            .with_type(super::MetricType::DEV),
+            .with_type(super::MetricType::Dev),
         ))
     }
 

datafusion/sqllogictest/test_files/explain_analyze.slt

@@ -240,7 +240,7 @@ explain analyze select * from cat_tracking where species > 'M' AND s >= 50 order
 ----
 Plan with Metrics
 01)SortExec: TopK(fetch=3), expr=[species@0 ASC NULLS LAST], preserve_partitioning=[false], filter=[species@0 < Nlpine Sheep], metrics=[output_rows=3]
-02)--DataSourceExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/sqllogictest/test_files/scratch/explain_analyze/data.parquet]]}, projection=[species, s], file_type=parquet, predicate=species@0 > M AND s@1 >= 50 AND DynamicFilter [ species@0 < Nlpine Sheep ], pruning_predicate=species_null_count@1 != row_count@2 AND species_max@0 > M AND s_null_count@4 != row_count@2 AND s_max@3 >= 50 AND species_null_count@1 != row_count@2 AND species_min@5 < Nlpine Sheep, required_guarantees=[], metrics=[output_rows=3, files_ranges_pruned_statistics=1 total → 1 matched, row_groups_pruned_statistics=4 total → 3 matched -> 1 fully matched, row_groups_pruned_bloom_filter=3 total → 3 matched, page_index_pages_pruned=6 total → 6 matched, limit_pruned_row_groups=0 total → 0 matched, scan_efficiency_ratio=22% (521/2.35 K)]
+02)--DataSourceExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/sqllogictest/test_files/scratch/explain_analyze/data.parquet]]}, projection=[species, s], file_type=parquet, predicate=species@0 > M AND s@1 >= 50 AND DynamicFilter [ species@0 < Nlpine Sheep ], pruning_predicate=species_null_count@1 != row_count@2 AND species_max@0 > M AND s_null_count@4 != row_count@2 AND s_max@3 >= 50 AND species_null_count@1 != row_count@2 AND species_min@5 < Nlpine Sheep, required_guarantees=[], metrics=[output_rows=3, files_ranges_pruned_statistics=1 total → 1 matched, row_groups_pruned_statistics=4 total → 3 matched -> 1 fully matched, row_groups_pruned_bloom_filter=3 total → 3 matched, page_index_pages_pruned=6 total → 6 matched, limit_pruned_row_groups=0 total → 0 matched, scan_efficiency_ratio=22.13% (521/2.35 K)]
 
 statement ok
 reset datafusion.explain.analyze_categories;