Merge pull request #442 from hkad98/regenerate_clients

TRIVIAL: regenerate API client

Reviewed-by: https://github.com/Mara3l

Author: gdgate

gooddata-api-client/docs/ActionsApi.md

@@ -279,7 +279,7 @@ with gooddata_api_client.ApiClient() as api_client:
     workspace_id = "/6bUUGjjNSwg0_bs" # str | Workspace identifier
     elements_request = ElementsRequest(
         complement_filter=False,
-        data_sampling_percentage=100,
+        data_sampling_percentage=100.0,
         depends_on=[
             DependsOn(
                 complement_filter=False,

gooddata-api-client/docs/ComputationApi.md

@@ -46,7 +46,7 @@ with gooddata_api_client.ApiClient() as api_client:
     workspace_id = "/6bUUGjjNSwg0_bs" # str | Workspace identifier
     elements_request = ElementsRequest(
         complement_filter=False,
-        data_sampling_percentage=100,
+        data_sampling_percentage=100.0,
         depends_on=[
             DependsOn(
                 complement_filter=False,

gooddata-api-client/docs/ElementsRequest.md

@@ -6,7 +6,7 @@ Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **label** | **str** | Requested label. | 
 **complement_filter** | **bool** | Inverse filters: * ```false``` - return items matching ```patternFilter``` and ```exactFilter``` * ```true``` - return items not matching ```patternFilter``` and ```exactFilter``` | [optional]  if omitted the server will use the default value of False
-**data_sampling_percentage** | **float** | Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation. | [optional]  if omitted the server will use the default value of 100
+**data_sampling_percentage** | **float** | Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation. | [optional]  if omitted the server will use the default value of 100.0
 **depends_on** | [**[DependsOn]**](DependsOn.md) | Return only items, whose are not filtered out by the parent filters. | [optional] 
 **exact_filter** | **[str, none_type]** | Return only items, whose ```label``` title exactly matches one of ```filter```. | [optional] 
 **exclude_primary_label** | **bool** | Excludes items from the result that differ only by primary label * ```false``` - return items with distinct primary label * ```true``` - return items with distinct requested label | [optional]  if omitted the server will use the default value of False

gooddata-api-client/gooddata_api_client/model/elements_request.py

@@ -172,7 +172,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
             complement_filter (bool): Inverse filters: * ```false``` - return items matching ```patternFilter``` and ```exactFilter``` * ```true``` - return items not matching ```patternFilter``` and ```exactFilter```. [optional] if omitted the server will use the default value of False  # noqa: E501
-            data_sampling_percentage (float): Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation.. [optional] if omitted the server will use the default value of 100  # noqa: E501
+            data_sampling_percentage (float): Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation.. [optional] if omitted the server will use the default value of 100.0  # noqa: E501
             depends_on ([DependsOn]): Return only items, whose are not filtered out by the parent filters.. [optional]  # noqa: E501
             exact_filter ([str, none_type]): Return only items, whose ```label``` title exactly matches one of ```filter```.. [optional]  # noqa: E501
             exclude_primary_label (bool): Excludes items from the result that differ only by primary label * ```false``` - return items with distinct primary label * ```true``` - return items with distinct requested label. [optional] if omitted the server will use the default value of False  # noqa: E501
@@ -269,7 +269,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
             complement_filter (bool): Inverse filters: * ```false``` - return items matching ```patternFilter``` and ```exactFilter``` * ```true``` - return items not matching ```patternFilter``` and ```exactFilter```. [optional] if omitted the server will use the default value of False  # noqa: E501
-            data_sampling_percentage (float): Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation.. [optional] if omitted the server will use the default value of 100  # noqa: E501
+            data_sampling_percentage (float): Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation.. [optional] if omitted the server will use the default value of 100.0  # noqa: E501
             depends_on ([DependsOn]): Return only items, whose are not filtered out by the parent filters.. [optional]  # noqa: E501
             exact_filter ([str, none_type]): Return only items, whose ```label``` title exactly matches one of ```filter```.. [optional]  # noqa: E501
             exclude_primary_label (bool): Excludes items from the result that differ only by primary label * ```false``` - return items with distinct primary label * ```true``` - return items with distinct requested label. [optional] if omitted the server will use the default value of False  # noqa: E501

schemas/gooddata-afm-client.json

@@ -784,7 +784,7 @@
             "type": "boolean"
           },
           "dataSamplingPercentage": {
-            "default": 100,
+            "default": 100.0,
             "deprecated": true,
             "description": "Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation.",
             "format": "float",
@@ -921,7 +921,7 @@
             "description": "A multi-dimensional array of computed results. The most common one being a 2-dimensional array. The arrays can be composed of Double or null values.",
             "example": [
               [
-                1,
+                1.0,
                 2.5
               ],
               [
@@ -966,7 +966,7 @@
             "description": "A multi-dimensional array of computed results. The most common one being a 2-dimensional array. The arrays can be composed of Double or null values.",
             "example": [
               [
-                1,
+                1.0,
                 2.5
               ],
               [

schemas/gooddata-api-client.json

@@ -3587,7 +3587,7 @@
             "type": "boolean"
           },
           "dataSamplingPercentage": {
-            "default": 100,
+            "default": 100.0,
             "deprecated": true,
             "description": "Specifies percentage of source table data scanned during the computation. This field is deprecated and is no longer used during the elements computation.",
             "format": "float",
@@ -3787,7 +3787,7 @@
             "description": "A multi-dimensional array of computed results. The most common one being a 2-dimensional array. The arrays can be composed of Double or null values.",
             "example": [
               [
-                1,
+                1.0,
                 2.5
               ],
               [
@@ -3832,7 +3832,7 @@
             "description": "A multi-dimensional array of computed results. The most common one being a 2-dimensional array. The arrays can be composed of Double or null values.",
             "example": [
               [
-                1,
+                1.0,
                 2.5
               ],
               [