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I am trying to install the lib in databricsk 15.4 LTS but getting below error, can anyone help? I cant create virtual env since I am in a managed environment by my org.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of
the following dependency conflicts.
petastorm 0.12.1 requires pyspark>=2.1.0, which is not installed.
databricks-feature-engineering 0.8.0 requires numpy<2,>=1.19.2, but you have numpy 2.3.2 which is incompatible.
langchain 0.1.20 requires numpy<2>, but you have numpy 2.3.2 which is incompatible.
langchain-community 0.0.38 requires numpy<2>, but you have numpy 2.3.2 which is incompatible.
numba 0.57.1 requires numpy<1.25,>=1.21, but you have numpy 2.3.2 which is incompatible.
opentelemetry-api 1.25.0 requires importlib-metadata<8.8,>=4.0, but you have importlib-metadata 8.7.0 which is incompatible.
scipy 1.11.1 requires numpy<1.28.0,>=1.21.6, but you have numpy 2.3.2 which is incompatible.
tensorflow 2.6.1 requires numpy<=2.0.0,>=1.19.5, python-version<3.11>, but you have numpy 2.3.2 which is incompatible.
ydata-profiling 4.5.1 requires pydantic<2,>=1.8.1, but you have pydantic 2.11.7 which is incompatible.
Successfully installed aiofiles-24.1.0 annotated-types-0.7.0 attrs-25.3.0 aurelio-sdks-0.19 colorama-0.4.6 colorlog-6.9.0 fastuuid-1.2.0 importlib-metadata-8.7.0 jiter-0.0.10 jsonschema-4.25.1 jsonschema-specifications-2025.4.1 liteml-1.76.2 numpy-2.3.2 openai-1.35.2 opentelemetry-api-1.25.0 pydantic-2.11.7 pydantic-core-2.33.2 python-dotenv-1.1.1 pyyaml-6.0.2 referencing-0.36.2 regex-2025.9.1 requests-2.32.3 requests-toolbelt-1.0.0 rpds-py-0.17.1 semantic-router-0.1.11 tiktoken-0.11.0 tornado-6.5.2 typing-extensions-4.15.0 typing-inspection-0.4.1 yarl-1.20.1 zip-3.23.0
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I am trying to install the lib in databricsk 15.4 LTS but getting below error, can anyone help? I cant create virtual env since I am in a managed environment by my org.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of
the following dependency conflicts.
petastorm 0.12.1 requires pyspark>=2.1.0, which is not installed.
databricks-feature-engineering 0.8.0 requires numpy<2,>=1.19.2, but you have numpy 2.3.2 which is incompatible.
langchain 0.1.20 requires numpy<2>, but you have numpy 2.3.2 which is incompatible.
langchain-community 0.0.38 requires numpy<2>, but you have numpy 2.3.2 which is incompatible.
numba 0.57.1 requires numpy<1.25,>=1.21, but you have numpy 2.3.2 which is incompatible.
opentelemetry-api 1.25.0 requires importlib-metadata<8.8,>=4.0, but you have importlib-metadata 8.7.0 which is incompatible.
scipy 1.11.1 requires numpy<1.28.0,>=1.21.6, but you have numpy 2.3.2 which is incompatible.
tensorflow 2.6.1 requires numpy<=2.0.0,>=1.19.5, python-version<3.11>, but you have numpy 2.3.2 which is incompatible.
ydata-profiling 4.5.1 requires pydantic<2,>=1.8.1, but you have pydantic 2.11.7 which is incompatible.
Successfully installed aiofiles-24.1.0 annotated-types-0.7.0 attrs-25.3.0 aurelio-sdks-0.19 colorama-0.4.6 colorlog-6.9.0 fastuuid-1.2.0 importlib-metadata-8.7.0 jiter-0.0.10 jsonschema-4.25.1 jsonschema-specifications-2025.4.1 liteml-1.76.2 numpy-2.3.2 openai-1.35.2 opentelemetry-api-1.25.0 pydantic-2.11.7 pydantic-core-2.33.2 python-dotenv-1.1.1 pyyaml-6.0.2 referencing-0.36.2 regex-2025.9.1 requests-2.32.3 requests-toolbelt-1.0.0 rpds-py-0.17.1 semantic-router-0.1.11 tiktoken-0.11.0 tornado-6.5.2 typing-extensions-4.15.0 typing-inspection-0.4.1 yarl-1.20.1 zip-3.23.0
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