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README.md

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@@ -69,15 +69,16 @@ The API of Tesseract-JAX consists of a single function, [`apply_tesseract(tesser
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## Sharp edges
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- **Arrays vs. array-like objects**: Tesseract-JAX ist stricter than Tesseract Core in that all array inputs to Tesseracts must be JAX or NumPy arrays, not just any array-like (such as Python floats or lists). As a result, you may need to convert your inputs to JAX arrays before passing them to Tesseract-JAX, including scalar values.
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- **Arrays vs. array-like objects**: Tesseract-JAX is stricter than Tesseract Core in that all array inputs to Tesseracts must be JAX or NumPy arrays, not just any array-like (such as Python floats or lists). As a result, you may need to convert your inputs to JAX arrays before passing them to Tesseract-JAX, including scalar values.
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```python
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from tesseract_core import Tesseract
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from tesseract_jax import apply_tesseract
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tess = Tesseract.from_image("vectoradd")
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apply_tesseract(tess, {"a": 1.0, "b": 2.0}) # ❌ raises an error
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apply_tesseract(tess, {"a": jnp.array(1.0), "b": jnp.array(2.0)}) # ✅ works
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tess = Tesseract.from_image("vectoradd_jax")
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with Tesseract.from_image("vectoradd_jax") as tess:
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apply_tesseract(tess, {"a": {"v": jnp.array([1.0])}, "b": {"v": jnp.array([2.0])}}) # ✅ works
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apply_tesseract(tess, {"a": {"v": [1.0]}, "b": {"v": [2.0]}}) # ❌ raises an error
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```
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- **Additional required endpoints**: Tesseract-JAX requires the [`abstract_eval`](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/api/endpoints.html#abstract-eval) Tesseract endpoint to be defined for all operations. This is because JAX mandates abstract evaluation of all operations before they are executed. Additionally, many gradient transformations like `jax.grad` require [`vector_jacobian_product`](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/api/endpoints.html#vector-jacobian-product) to be defined.
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