resolve conflict dependency with numpy 2.0

Author: Roja Reddy Sareddy

requirements/extras/test_requirements.txt

@@ -42,7 +42,7 @@ onnx==1.17.0
 nbformat>=5.9,<6
 accelerate>=0.24.1,<=0.27.0
 schema==0.7.5
-tensorflow>=2.16.2,<=2.18.0
+tensorflow==2.18.0
 mlflow>=2.16.1
 huggingface_hub==0.26.2
 uvicorn>=0.30.1

tests/data/remote_function/old_deps_requirements.txt

@@ -1 +1 @@
-pandas==2.2.3
+pandas==1.3.4

tests/data/serve_resources/mlflow/tensorflow/conda.yaml

@@ -2,10 +2,10 @@ channels:
 - conda-forge
 dependencies:
 - python=3.10.13
-- pip<=23.3.1
+- pip<=24.3
 - pip:
   - mlflow>=2.16.1
   - cloudpickle==2.2.1
-  - numpy==2.0.0
+  - numpy
   - tensorflow==2.18.0
 name: mlflow-env

tests/data/serve_resources/mlflow/tensorflow/requirements.txt

@@ -1,4 +1,4 @@
 mlflow>=2.16.1
 cloudpickle==2.2.1
-numpy==2.0.0
+numpy
 tensorflow==2.18.0

tests/data/serve_resources/mlflow/xgboost/conda.yaml

@@ -2,11 +2,11 @@ channels:
 - conda-forge
 dependencies:
 - python=3.10.13
-- pip<=23.3.1
+- pip<=24.3
 - pip:
   - mlflow>=2.16.1
   - lz4==4.3.2
-  - numpy>=2.0.0,<2.3.0
+  - numpy
   - pandas==2.2.3
   - psutil==5.9.8
   - scikit-learn==1.6.1

tests/data/serve_resources/mlflow/xgboost/requirements.txt

@@ -1,6 +1,6 @@
 mlflow>=2.16.1
 lz4==4.3.2
-numpy>=2.0.0,<2.3.0
+numpy
 pandas==2.2.3
 psutil==5.9.8
 scikit-learn==1.6.1

tests/unit/sagemaker/mlflow/test_forward_sagemaker_metrics.py

@@ -48,7 +48,7 @@ def mock_mlflow_client():
 def test_encode():
     existing_names = set()
     assert encode("test-name", existing_names) == "test-name"
-    assert encode("test:name", existing_names) == "test_3a_name"
+    assert encode("test:name", existing_names) == "test:name"
     assert encode("test-name", existing_names) == "test-name_1"