fix yaml tests with 4 digits error margin

Author: Samiul-TheSoccerFan

x-pack/plugin/inference/src/yamlRestTest/resources/rest-api-spec/test/inference/45_semantic_text_match.yml

@@ -287,33 +287,21 @@ setup:
   - skip:
       features: [ "headers", "close_to" ]
 
-  - do:
-      indices.create:
-        index: test-sparse-index-random
-        body:
-          settings:
-            number_of_shards: 1
-            number_of_replicas: 0
-          mappings:
-            properties:
-              inference_field:
-                type: semantic_text
-                inference_id: sparse-inference-id
-
   - do:
       index:
-        index: test-sparse-index-random
+        index: test-sparse-index
         id: doc_1
         body:
           inference_field: [ "It was a beautiful game", "Very competitive" ]
+          non_inference_field: "non inference test"
         refresh: true
 
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: test-sparse-index-random
+        index: test-sparse-index
         body:
           query:
             match:
@@ -322,15 +310,15 @@ setup:
 
   - match: { hits.total.value: 1 }
   - match: { hits.hits.0._id: "doc_1" }
-  - close_to: { hits.hits.0._score: { value: 5.700229E18, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 5.700229E18, error: 1e15 } }
   - not_exists: hits.hits.0.matched_queries
 
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: test-sparse-index-random
+        index: test-sparse-index
         body:
           query:
             match:
@@ -341,7 +329,7 @@ setup:
 
   - match: { hits.total.value: 1 }
   - match: { hits.hits.0._id: "doc_1" }
-  - close_to: { hits.hits.0._score: { value: 2.8501142E19, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 2.8501142E19, error: 1e16 } }
   - match: { hits.hits.0.matched_queries: [ "i-like-naming-my-queries" ] }
 
 ---
@@ -353,50 +341,30 @@ setup:
   - skip:
       features: [ "headers", "close_to" ]
 
-  - do:
-      indices.create:
-        index: index-with-semantic-field
-        body:
-          settings:
-            number_of_shards: 1
-            number_of_replicas: 0
-          mappings:
-            properties:
-              inference_field:
-                type: semantic_text
-                inference_id: sparse-inference-id
-
-  - do:
-      indices.create:
-        index: index-with-text-field
-        body:
-          mappings:
-            properties:
-              inference_field:
-                type: text
-
   - do:
       index:
-        index: index-with-semantic-field
+        index: test-sparse-index
         id: doc_1
         body:
           inference_field: [ "It was a beautiful game", "Very competitive" ]
+          non_inference_field: "non inference test"
         refresh: true
 
   - do:
       index:
-        index: index-with-text-field
+        index: test-text-only-index
         id: doc_2
         body:
           inference_field: [ "It was a beautiful game", "Very competitive" ]
+          non_inference_field: "non inference test"
         refresh: true
 
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: index-with-semantic-field,index-with-text-field
+        index: test-sparse-index,test-text-only-index
         body:
           query:
             match:
@@ -406,17 +374,17 @@ setup:
   - match: { hits.total.value: 2 }
   - match: { hits.hits.0._id: "doc_1" }
   - match: { hits.hits.1._id: "doc_2" }
-  - close_to: { hits.hits.0._score: { value: 1.1140361E19, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 1.1140361E19, error: 1e16 } }
   - not_exists: hits.hits.0.matched_queries
-  - close_to: { hits.hits.1._score: { value: 0.2876821, error: 1e-7 } }
+  - close_to: { hits.hits.1._score: { value: 0.2876821, error: 1e-4 } }
   - not_exists: hits.hits.1.matched_queries
 
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: index-with-semantic-field,index-with-text-field
+        index: test-sparse-index,test-text-only-index
         body:
           query:
             match:
@@ -428,7 +396,7 @@ setup:
   - match: { hits.total.value: 2 }
   - match: { hits.hits.0._id: "doc_1" }
   - match: { hits.hits.1._id: "doc_2" }
-  - close_to: { hits.hits.0._score: { value: 5.5701804E19, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 5.5701804E19, error: 1e16 } }
   - match: { hits.hits.0.matched_queries: [ "i-like-naming-my-queries" ] }
-  - close_to: { hits.hits.1._score: { value: 1.4384103, error: 1e-7 } }
+  - close_to: { hits.hits.1._score: { value: 1.4384103, error: 1e-4 } }
   - match: { hits.hits.1.matched_queries: [ "i-like-naming-my-queries" ] }

x-pack/plugin/inference/src/yamlRestTest/resources/rest-api-spec/test/inference/46_semantic_text_sparse_vector.yml

@@ -256,61 +256,40 @@ setup:
   - skip:
       features: [ "headers", "close_to" ]
 
-  - do:
-      indices.create:
-        index: test-sparse-index-random
-        body:
-          settings:
-            number_of_shards: 1
-            number_of_replicas: 0
-          mappings:
-            properties:
-              inference_field:
-                type: semantic_text
-                inference_id: sparse-inference-id
-
-  - do:
-      index:
-        index: test-sparse-index-random
-        id: doc_1
-        body:
-          inference_field: [ "It was a beautiful game", "Very competitive" ]
-        refresh: true
-
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: test-sparse-index-random
+        index: test-semantic-text-index
         body:
           query:
             sparse_vector:
               field: inference_field
-              query: "soccer"
+              query: "inference test"
 
   - match: { hits.total.value: 1 }
   - match: { hits.hits.0._id: "doc_1" }
-  - close_to: { hits.hits.0._score: { value: 5.700229E18, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 3.7837332E17, error: 1e14 } }
   - not_exists: hits.hits.0.matched_queries
 
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: test-sparse-index-random
+        index: test-semantic-text-index
         body:
           query:
             sparse_vector:
               field: inference_field
-              query: "soccer"
+              query: "inference test"
               boost: 5.0
               _name: i-like-naming-my-queries
 
   - match: { hits.total.value: 1 }
   - match: { hits.hits.0._id: "doc_1" }
-  - close_to: { hits.hits.0._score: { value: 2.8501142E19, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 1.8918664E18, error: 1e15 } }
   - match: { hits.hits.0.matched_queries: [ "i-like-naming-my-queries" ] }
 
 ---
@@ -322,84 +301,46 @@ setup:
   - skip:
       features: [ "headers", "close_to" ]
 
-  - do:
-      indices.create:
-        index: index-with-semantic-field
-        body:
-          settings:
-            number_of_shards: 1
-            number_of_replicas: 0
-          mappings:
-            properties:
-              inference_field:
-                type: semantic_text
-                inference_id: sparse-inference-id
-
-  - do:
-      indices.create:
-        index: index-with-sparse-field
-        body:
-          mappings:
-            properties:
-              inference_field:
-                type: sparse_vector
-
-  - do:
-      index:
-        index: index-with-semantic-field
-        id: doc_1
-        body:
-          inference_field: [ "It was a beautiful game", "Very competitive" ]
-        refresh: true
-
-  - do:
-      index:
-        index: index-with-sparse-field
-        id: doc_2
-        body:
-          inference_field: { "feature_0": 1, "feature_1": 2, "feature_2": 3, "feature_3": 4, "feature_4": 5 }
-        refresh: true
-
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: index-with-semantic-field,index-with-sparse-field
+        index: test-semantic-text-index,test-sparse-vector-index
         body:
           query:
             sparse_vector:
               field: inference_field
-              query: "soccer"
+              query: "inference test"
               inference_id: sparse-inference-id
 
   - match: { hits.total.value: 2 }
   - match: { hits.hits.0._id: "doc_1" }
   - match: { hits.hits.1._id: "doc_2" }
-  - close_to: { hits.hits.0._score: { value: 5.700229E18, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 3.7837332E17, error: 1e14 } }
   - not_exists: hits.hits.0.matched_queries
-  - close_to: { hits.hits.1._score: { value: 1.3455845E10, error: 1e-7 } }
+  - close_to: { hits.hits.1._score: { value: 7.314424E8, error: 1e5 } }
   - not_exists: hits.hits.1.matched_queries
 
   - do:
       headers:
         # Force JSON content type so that we use a parser that interprets the floating-point score as a double
         Content-Type: application/json
       search:
-        index: index-with-semantic-field,index-with-sparse-field
+        index: test-semantic-text-index,test-sparse-vector-index
         body:
           query:
             sparse_vector:
               field: inference_field
-              query: "soccer"
+              query: "inference test"
               inference_id: sparse-inference-id
               boost: 5.0
               _name: i-like-naming-my-queries
 
   - match: { hits.total.value: 2 }
   - match: { hits.hits.0._id: "doc_1" }
   - match: { hits.hits.1._id: "doc_2" }
-  - close_to: { hits.hits.0._score: { value: 2.8501142E19, error: 1e-7 } }
+  - close_to: { hits.hits.0._score: { value: 1.8918664E18, error: 1e15 } }
   - match: { hits.hits.0.matched_queries: [ "i-like-naming-my-queries" ] }
-  - close_to: { hits.hits.1._score: { value: 6.7279225E10, error: 1e-7 } }
+  - close_to: { hits.hits.1._score: { value: 3.657212E9, error: 1e6 } }
   - match: { hits.hits.1.matched_queries: [ "i-like-naming-my-queries" ] }