Matrice Common Utilities
matrice-common is a Python library providing common server utilities for Matrice.ai services. It is currently at version 0.1.95 and appears to have a rapid release cadence, typical for internal or frequently updated components. The library is intended to support the Matrice.ai platform, which focuses on no/low-code, data-centric computer vision for rapid application building and deployment.
Common errors
-
ModuleNotFoundError: No module named 'matrice_common'
cause The `matrice-common` package was not installed, or there's a typo in the import statement.fixEnsure the package is installed using `pip install matrice-common`. Check for typos in `import matrice_common`. -
AttributeError: module 'matrice_common' has no attribute 'some_function'
cause You are trying to access a function or class that does not exist within the imported `matrice_common` module, or the name is incorrect. This is a common issue when documentation is unavailable.fixWithout public documentation, consult internal Matrice.ai team members or existing codebases that utilize `matrice-common` to identify correct function/class names and usage. If none exist, you may need to inspect the package contents (e.g., via `dir(matrice_common)` in a Python interpreter) to infer available components.
Warnings
- gotcha No public documentation or source code is available for `matrice-common`. Functionality, breaking changes, and detailed usage patterns are not publicly disclosed by Matrice.ai.
- gotcha The package name `matrice-common` is very similar to other Python libraries like `matrix-common`, `matrices-py`, and `matrix-python`. Ensure you are installing and importing the correct library for Matrice.ai services.
Install
-
pip install matrice-common
Imports
- matrice_common
import matrice_common
Quickstart
import matrice_common
# As no public documentation is available, specific utility usage cannot be demonstrated.
# This example merely confirms the package can be imported.
print("Successfully imported matrice_common.")
# To access functionalities, you would typically use attributes or call functions
# on the imported module, e.g., matrice_common.some_utility_function()