GRPC clients version 10.9.5

VERSION

@@ -1 +1 @@
-10.9.4
+10.9.5

clarifai_grpc/channel/http_client.py

@@ -8,7 +8,7 @@
 
 from clarifai_grpc.channel.errors import ApiError
 
-CLIENT_VERSION = "10.9.4"
+CLIENT_VERSION = "10.9.5"
 OS_VER = os.sys.platform
 PYTHON_VERSION = ".".join(
     map(

clarifai_grpc/grpc/api/resources_pb2.pyi

@@ -1741,6 +1741,8 @@ class Data(google.protobuf.message.Message):
     TIME_SEGMENTS_FIELD_NUMBER: builtins.int
     HITS_FIELD_NUMBER: builtins.int
     HEATMAPS_FIELD_NUMBER: builtins.int
+    PARTS_FIELD_NUMBER: builtins.int
+    NDARRAY_FIELD_NUMBER: builtins.int
     @property
     def image(self) -> global___Image:
         """Input and output images."""
@@ -1791,6 +1793,16 @@ class Data(google.protobuf.message.Message):
     @property
     def heatmaps(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Image]:
         """Heatmap as 2d image"""
+    @property
+    def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Part]:
+        """For data messages that have multiple parts such as multi-modal
+        requests, we allow you to specify those as a list of Data objects.
+        """
+    @property
+    def ndarray(self) -> global___NDArray:
+        """A proto representation for numpy arrays, useful to pass information from python SDK to a
+        python based model implementation.
+        """
     def __init__(
         self,
         *,
@@ -1810,12 +1822,34 @@ class Data(google.protobuf.message.Message):
         time_segments: collections.abc.Iterable[global___TimeSegment] | None = ...,
         hits: collections.abc.Iterable[global___Hit] | None = ...,
         heatmaps: collections.abc.Iterable[global___Image] | None = ...,
+        parts: collections.abc.Iterable[global___Part] | None = ...,
+        ndarray: global___NDArray | None = ...,
     ) -> None: ...
-    def HasField(self, field_name: typing_extensions.Literal["audio", b"audio", "geo", b"geo", "image", b"image", "metadata", b"metadata", "text", b"text", "video", b"video"]) -> builtins.bool: ...
-    def ClearField(self, field_name: typing_extensions.Literal["audio", b"audio", "clusters", b"clusters", "colors", b"colors", "concepts", b"concepts", "embeddings", b"embeddings", "frames", b"frames", "geo", b"geo", "heatmaps", b"heatmaps", "hits", b"hits", "image", b"image", "metadata", b"metadata", "regions", b"regions", "text", b"text", "time_segments", b"time_segments", "tracks", b"tracks", "video", b"video"]) -> None: ...
+    def HasField(self, field_name: typing_extensions.Literal["audio", b"audio", "geo", b"geo", "image", b"image", "metadata", b"metadata", "ndarray", b"ndarray", "text", b"text", "video", b"video"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing_extensions.Literal["audio", b"audio", "clusters", b"clusters", "colors", b"colors", "concepts", b"concepts", "embeddings", b"embeddings", "frames", b"frames", "geo", b"geo", "heatmaps", b"heatmaps", "hits", b"hits", "image", b"image", "metadata", b"metadata", "ndarray", b"ndarray", "parts", b"parts", "regions", b"regions", "text", b"text", "time_segments", b"time_segments", "tracks", b"tracks", "video", b"video"]) -> None: ...
 
 global___Data = Data
 
+@typing_extensions.final
+class Part(google.protobuf.message.Message):
+    """A part of data used for multi-modal processing."""
+
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    DATA_FIELD_NUMBER: builtins.int
+    @property
+    def data(self) -> global___Data:
+        """The data for this part."""
+    def __init__(
+        self,
+        *,
+        data: global___Data | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing_extensions.Literal["data", b"data"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing_extensions.Literal["data", b"data"]) -> None: ...
+
+global___Part = Part
+
 @typing_extensions.final
 class Region(google.protobuf.message.Message):
     """A region within the data."""
@@ -1998,6 +2032,42 @@ class Frame(google.protobuf.message.Message):
 
 global___Frame = Frame
 
+@typing_extensions.final
+class NDArray(google.protobuf.message.Message):
+    """A representation of a numpy array as a proto.
+    To convert a numpy array 'ndarray' to this proto do:
+    NDArray(buffer=ndarray.tobytes(), shape=ndarray.shape, dtype=str(ndarray.dtype))
+
+    To convert this proto 'ndarray_proto' to a numpy array:
+    array = np.frombuffer(ndarray_proto.buffer, dtype=ndarray_proto.dtype)
+    array = array.reshape(tuple(ndarray_proto.shape))
+    """
+
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    BUFFER_FIELD_NUMBER: builtins.int
+    SHAPE_FIELD_NUMBER: builtins.int
+    DTYPE_FIELD_NUMBER: builtins.int
+    buffer: builtins.bytes
+    """The bytes of data from the array from array.tobytes()"""
+    @property
+    def shape(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.int]:
+        """Simply the shape of the numpy array. array.shape."""
+    dtype: builtins.str
+    """Dtype for numpy. You can get it back from this string format using:
+    np.dtype('float32') for example.
+    """
+    def __init__(
+        self,
+        *,
+        buffer: builtins.bytes = ...,
+        shape: collections.abc.Iterable[builtins.int] | None = ...,
+        dtype: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing_extensions.Literal["buffer", b"buffer", "dtype", b"dtype", "shape", b"shape"]) -> None: ...
+
+global___NDArray = NDArray
+
 @typing_extensions.final
 class Mask(google.protobuf.message.Message):
     """Segmentation mask."""

clarifai_grpc/grpc/api/service_pb2_grpc.py

@@ -28,7 +28,7 @@ class V2Stub(object):
     """
 
     def __init__(self, channel):
-        from clarifai_grpc.channel.clarifai_channel import wrap_response_deserializer
+            from clarifai_grpc.channel.clarifai_channel import wrap_response_deserializer
         """Constructor.
 
         Args:

clarifai_grpc/grpc/api/status/status_code_pb2.pyi

@@ -529,6 +529,8 @@ class _StatusCodeEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._Enu
     UPLOAD_CONFLICT: _StatusCode.ValueType  # 68006
     BILLING_INVALID_INFO: _StatusCode.ValueType  # 69000
     """Billing related issues: 69xxx"""
+    LOG_ENTRIES_INVALID_REQUEST: _StatusCode.ValueType  # 70000
+    """Logs related issues: 70000;"""
     INTERNAL_SERVER_ISSUE: _StatusCode.ValueType  # 98004
     """Internal issues: 98xxx"""
     INTERNAL_FETCHING_ISSUE: _StatusCode.ValueType  # 98005
@@ -1065,6 +1067,8 @@ UPLOAD_CANCELED: StatusCode.ValueType  # 68005
 UPLOAD_CONFLICT: StatusCode.ValueType  # 68006
 BILLING_INVALID_INFO: StatusCode.ValueType  # 69000
 """Billing related issues: 69xxx"""
+LOG_ENTRIES_INVALID_REQUEST: StatusCode.ValueType  # 70000
+"""Logs related issues: 70000;"""
 INTERNAL_SERVER_ISSUE: StatusCode.ValueType  # 98004
 """Internal issues: 98xxx"""
 INTERNAL_FETCHING_ISSUE: StatusCode.ValueType  # 98005

clarifai_grpc/grpc/auth/scope/scope_pb2.pyi

@@ -232,6 +232,7 @@ class _SEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrap
     Deployments_Delete: _S.ValueType  # 146
     InstanceTypes_Get: _S.ValueType  # 148
     AuditLogs_Get: _S.ValueType  # 149
+    LogEntries_Get: _S.ValueType  # 151
 
 class S(_S, metaclass=_SEnumTypeWrapper):
     """Next index: 41
@@ -469,6 +470,7 @@ Deployments_Add: S.ValueType  # 145
 Deployments_Delete: S.ValueType  # 146
 InstanceTypes_Get: S.ValueType  # 148
 AuditLogs_Get: S.ValueType  # 149
+LogEntries_Get: S.ValueType  # 151
 global___S = S
 
 @typing_extensions.final

setup.py

@@ -7,7 +7,7 @@
 
 setuptools.setup(
     name="clarifai-grpc",
-    version="10.9.4",
+    version="10.9.5",
     author="Clarifai",
     author_email="[email protected]",
     description="Clarifai gRPC API Client",