chore(servicecontrol): update the api

Author: yoshi-automation

docs/dyn/servicecontrol_v1.services.html

@@ -110,7 +110,7 @@ <h3>Method Details</h3>
         &quot;metricValues&quot;: [ # The values in this metric.
           { # Represents a single metric value.
             &quot;boolValue&quot;: True or False, # A boolean value.
-            &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points # A distribution value.
+            &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points # A distribution value.
               &quot;bucketCounts&quot;: [ # The number of samples in each histogram bucket. `bucket_counts` are optional. If present, they must sum to the `count` value. The buckets are defined below in `bucket_option`. There are N buckets. `bucket_counts[0]` is the number of samples in the underflow bucket. `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples in each of the finite buckets. And `bucket_counts[N] is the number of samples in the overflow bucket. See the comments of `bucket_option` below for more details. Any suffix of trailing zeros may be omitted.
                 &quot;A String&quot;,
               ],
@@ -205,7 +205,7 @@ <h3>Method Details</h3>
       &quot;metricValues&quot;: [ # The values in this metric.
         { # Represents a single metric value.
           &quot;boolValue&quot;: True or False, # A boolean value.
-          &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points # A distribution value.
+          &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points # A distribution value.
             &quot;bucketCounts&quot;: [ # The number of samples in each histogram bucket. `bucket_counts` are optional. If present, they must sum to the `count` value. The buckets are defined below in `bucket_option`. There are N buckets. `bucket_counts[0]` is the number of samples in the underflow bucket. `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples in each of the finite buckets. And `bucket_counts[N] is the number of samples in the overflow bucket. See the comments of `bucket_option` below for more details. Any suffix of trailing zeros may be omitted.
               &quot;A String&quot;,
             ],
@@ -337,7 +337,7 @@ <h3>Method Details</h3>
         &quot;metricValues&quot;: [ # The values in this metric.
           { # Represents a single metric value.
             &quot;boolValue&quot;: True or False, # A boolean value.
-            &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points # A distribution value.
+            &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points # A distribution value.
               &quot;bucketCounts&quot;: [ # The number of samples in each histogram bucket. `bucket_counts` are optional. If present, they must sum to the `count` value. The buckets are defined below in `bucket_option`. There are N buckets. `bucket_counts[0]` is the number of samples in the underflow bucket. `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples in each of the finite buckets. And `bucket_counts[N] is the number of samples in the overflow bucket. See the comments of `bucket_option` below for more details. Any suffix of trailing zeros may be omitted.
                 &quot;A String&quot;,
               ],
@@ -499,7 +499,7 @@ <h3>Method Details</h3>
         &quot;metricValues&quot;: [ # The values in this metric.
           { # Represents a single metric value.
             &quot;boolValue&quot;: True or False, # A boolean value.
-            &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points # A distribution value.
+            &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points # A distribution value.
               &quot;bucketCounts&quot;: [ # The number of samples in each histogram bucket. `bucket_counts` are optional. If present, they must sum to the `count` value. The buckets are defined below in `bucket_option`. There are N buckets. `bucket_counts[0]` is the number of samples in the underflow bucket. `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples in each of the finite buckets. And `bucket_counts[N] is the number of samples in the overflow bucket. See the comments of `bucket_option` below for more details. Any suffix of trailing zeros may be omitted.
                 &quot;A String&quot;,
               ],
@@ -639,7 +639,7 @@ <h3>Method Details</h3>
           &quot;metricValues&quot;: [ # The values in this metric.
             { # Represents a single metric value.
               &quot;boolValue&quot;: True or False, # A boolean value.
-              &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points # A distribution value.
+              &quot;distributionValue&quot;: { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points # A distribution value.
                 &quot;bucketCounts&quot;: [ # The number of samples in each histogram bucket. `bucket_counts` are optional. If present, they must sum to the `count` value. The buckets are defined below in `bucket_option`. There are N buckets. `bucket_counts[0]` is the number of samples in the underflow bucket. `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples in each of the finite buckets. And `bucket_counts[N] is the number of samples in the overflow bucket. See the comments of `bucket_option` below for more details. Any suffix of trailing zeros may be omitted.
                   &quot;A String&quot;,
                 ],

googleapiclient/discovery_cache/documents/servicecontrol.v1.json

@@ -197,7 +197,7 @@
       }
     }
   },
-  "revision": "20211018",
+  "revision": "20211022",
   "rootUrl": "https://servicecontrol.googleapis.com/",
   "schemas": {
     "AllocateInfo": {
@@ -695,7 +695,7 @@
       "type": "object"
     },
     "Distribution": {
-      "description": "Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points",
+      "description": "Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points",
       "id": "Distribution",
       "properties": {
         "bucketCounts": {

googleapiclient/discovery_cache/documents/servicecontrol.v2.json

@@ -169,7 +169,7 @@
       }
     }
   },
-  "revision": "20211018",
+  "revision": "20211022",
   "rootUrl": "https://servicecontrol.googleapis.com/",
   "schemas": {
     "Api": {