DOCSP-50657-incorrect-decimal-examples (#12393) (#12396)

Author: gmiller-mdb

content/manual/manual/source/reference/operator/aggregation/isNumber.txt

@@ -59,12 +59,12 @@ collection to populate test data:
 .. code-block:: javascript
 
    db.getSiblingDB("examples").sensors.insertMany([
-     { "_id" : 1, "reading" : NumberDecimal(26.0) },
+     { "_id" : 1, "reading" : NumberDecimal("26.0") },
      { "_id" : 2, "reading" : NumberLong(25.0) },
      { "_id" : 3, "reading" : NumberInt(24) },
      { "_id" : 4, "reading" : 24.0 },
      { "_id" : 5, "reading" : "24" },
-     { "_id" : 6, "reading" : [ NumberDecimal(26) ]}
+     { "_id" : 6, "reading" : [ NumberDecimal("26") ]}
    ])
 
 The following aggregation uses the :pipeline:`$addFields` aggregation 

content/manual/manual/source/reference/operator/aggregation/tan.txt

@@ -128,7 +128,7 @@ Example
               "_id" : ObjectId("5c50782193f833234ba90d85"),
               "angle_a" : NumberDecimal("53.13010235415597870314438744090659"),
               "side_a" : NumberDecimal("3")
-              "side_b" : NumberDecimal(4.000000000000000000000000000000000")
+              "side_b" : NumberDecimal("4.000000000000000000000000000000000")
             }
 
          Since ``angle_a`` and ``side_a`` are stored as 

content/manual/manual/source/reference/operator/aggregation/unwind.txt

@@ -394,10 +394,10 @@ Examples
         .. code-block:: javascript
            :copyable: false
 
-           { _id" : "M", averagePrice: NumberDecimal("120") }
-           { _id" : "L", averagePrice: NumberDecimal("80") }
-           { _id" : "S", averagePrice: NumberDecimal("80") }
-           { _id" : null, averagePrice: NumberDecimal("45.25") }
+           { _id : "M", averagePrice: NumberDecimal("120") }
+           { _id : "L", averagePrice: NumberDecimal("80") }
+           { _id : "S", averagePrice: NumberDecimal("80") }
+           { _id : null, averagePrice: NumberDecimal("45.25") }
 
       .. seealso::
 

content/manual/v6.0/source/reference/operator/aggregation/isNumber.txt

@@ -59,12 +59,12 @@ collection to populate test data:
 .. code-block:: javascript
 
    db.getSiblingDB("examples").sensors.insertMany([
-     { "_id" : 1, "reading" : NumberDecimal(26.0) },
+     { "_id" : 1, "reading" : NumberDecimal("26.0") },
      { "_id" : 2, "reading" : NumberLong(25.0) },
      { "_id" : 3, "reading" : NumberInt(24) },
      { "_id" : 4, "reading" : 24.0 },
      { "_id" : 5, "reading" : "24" },
-     { "_id" : 6, "reading" : [ NumberDecimal(26) ]}
+     { "_id" : 6, "reading" : [ NumberDecimal("26") ]}
    ])
 
 The following aggregation uses the :pipeline:`$addFields` aggregation 

content/manual/v6.0/source/reference/operator/aggregation/tan.txt

@@ -128,7 +128,7 @@ Example
               "_id" : ObjectId("5c50782193f833234ba90d85"),
               "angle_a" : NumberDecimal("53.13010235415597870314438744090659"),
               "side_a" : NumberDecimal("3")
-              "side_b" : NumberDecimal(4.000000000000000000000000000000000")
+              "side_b" : NumberDecimal("4.000000000000000000000000000000000")
             }
 
          Since ``angle_a`` and ``side_a`` are stored as 

content/manual/v6.0/source/reference/operator/aggregation/unwind.txt

@@ -394,10 +394,10 @@ Examples
         .. code-block:: javascript
            :copyable: false
 
-           { _id" : "M", averagePrice: NumberDecimal("120") }
-           { _id" : "L", averagePrice: NumberDecimal("80") }
-           { _id" : "S", averagePrice: NumberDecimal("80") }
-           { _id" : null, averagePrice: NumberDecimal("45.25") }
+           { _id : "M", averagePrice: NumberDecimal("120") }
+           { _id : "L", averagePrice: NumberDecimal("80") }
+           { _id : "S", averagePrice: NumberDecimal("80") }
+           { _id : null, averagePrice: NumberDecimal("45.25") }
 
       .. seealso::
 

content/manual/v7.0/source/reference/operator/aggregation/isNumber.txt

@@ -59,12 +59,12 @@ collection to populate test data:
 .. code-block:: javascript
 
    db.getSiblingDB("examples").sensors.insertMany([
-     { "_id" : 1, "reading" : NumberDecimal(26.0) },
+     { "_id" : 1, "reading" : NumberDecimal("26.0") },
      { "_id" : 2, "reading" : NumberLong(25.0) },
      { "_id" : 3, "reading" : NumberInt(24) },
      { "_id" : 4, "reading" : 24.0 },
      { "_id" : 5, "reading" : "24" },
-     { "_id" : 6, "reading" : [ NumberDecimal(26) ]}
+     { "_id" : 6, "reading" : [ NumberDecimal("26") ]}
    ])
 
 The following aggregation uses the :pipeline:`$addFields` aggregation 

content/manual/v7.0/source/reference/operator/aggregation/tan.txt

@@ -128,7 +128,7 @@ Example
               "_id" : ObjectId("5c50782193f833234ba90d85"),
               "angle_a" : NumberDecimal("53.13010235415597870314438744090659"),
               "side_a" : NumberDecimal("3")
-              "side_b" : NumberDecimal(4.000000000000000000000000000000000")
+              "side_b" : NumberDecimal("4.000000000000000000000000000000000")
             }
 
          Since ``angle_a`` and ``side_a`` are stored as 

content/manual/v7.0/source/reference/operator/aggregation/unwind.txt

@@ -394,10 +394,10 @@ Examples
         .. code-block:: javascript
            :copyable: false
 
-           { _id" : "M", averagePrice: NumberDecimal("120") }
-           { _id" : "L", averagePrice: NumberDecimal("80") }
-           { _id" : "S", averagePrice: NumberDecimal("80") }
-           { _id" : null, averagePrice: NumberDecimal("45.25") }
+           { _id : "M", averagePrice: NumberDecimal("120") }
+           { _id : "L", averagePrice: NumberDecimal("80") }
+           { _id : "S", averagePrice: NumberDecimal("80") }
+           { _id : null, averagePrice: NumberDecimal("45.25") }
 
       .. seealso::