two version of R2R are here HEAD master

1 files changed, 121 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/__init__.py
new file mode 100644
index 00000000..68ec09a3
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/__init__.py
@@ -0,0 +1,121 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)
+
+import logging
+from typing import Any, Optional
+
+# from .entities._builders.parallel_func import parallel
+from azure.ai.ml.entities._inputs_outputs import Input, Output
+
+from ._ml_client import MLClient
+from ._utils._logger_utils import initialize_logger_info
+from ._version import VERSION
+from .entities._builders.command_func import command
+from .entities._builders.spark_func import spark
+from .entities._job.distribution import (
+    MpiDistribution,
+    PyTorchDistribution,
+    RayDistribution,
+    TensorFlowDistribution,
+)
+from .entities._load_functions import (
+    load_batch_deployment,
+    load_batch_endpoint,
+    load_component,
+    load_compute,
+    load_connection,
+    load_data,
+    load_datastore,
+    load_environment,
+    load_feature_set,
+    load_feature_store,
+    load_feature_store_entity,
+    load_index,
+    load_job,
+    load_marketplace_subscription,
+    load_model,
+    load_model_package,
+    load_online_deployment,
+    load_online_endpoint,
+    load_registry,
+    load_serverless_endpoint,
+    load_workspace,
+    load_workspace_connection,
+    load_capability_host,
+)
+
+module_logger = logging.getLogger(__name__)
+initialize_logger_info(module_logger, terminator="\n")
+
+__all__ = [
+    "MLClient",
+    "command",
+    "spark",
+    # "parallel",
+    "Input",
+    "Output",
+    "MpiDistribution",
+    "PyTorchDistribution",
+    "TensorFlowDistribution",
+    "RayDistribution",
+    "load_batch_deployment",
+    "load_batch_endpoint",
+    "load_component",
+    "load_compute",
+    "load_data",
+    "load_datastore",
+    "load_feature_set",
+    "load_feature_store",
+    "load_feature_store_entity",
+    "load_index",
+    "load_model",
+    "load_environment",
+    "load_job",
+    "load_online_deployment",
+    "load_online_endpoint",
+    "load_workspace",
+    "load_registry",
+    "load_connection",
+    "load_workspace_connection",
+    "load_model_package",
+    "load_marketplace_subscription",
+    "load_serverless_endpoint",
+    "load_capability_host",
+]
+
+__version__ = VERSION
+
+
+# Allow importing these types for backwards compatibility
+
+
+def __getattr__(name: str):
+    requested: Optional[Any] = None
+
+    if name == "AmlTokenConfiguration":
+        from .entities._credentials import AmlTokenConfiguration
+
+        requested = AmlTokenConfiguration
+    if name == "ManagedIdentityConfiguration":
+        from .entities._credentials import ManagedIdentityConfiguration
+
+        requested = ManagedIdentityConfiguration
+    if name == "UserIdentityConfiguration":
+        from .entities._credentials import UserIdentityConfiguration
+
+        requested = UserIdentityConfiguration
+
+    if requested:
+        if not getattr(__getattr__, "warning_issued", False):
+            logging.warning(
+                " %s will be removed from the azure.ai.ml namespace in a future release."
+                " Please use the azure.ai.ml.entities namespace instead.",
+                name,
+            )
+            __getattr__.warning_issued = True  # type: ignore[attr-defined]
+        return requested
+
+    raise AttributeError(f"module 'azure.ai.ml' has no attribute {name}")