chore: prepare release 1.3.0

zama-ai · Oct 23, 2023 · bc48143 · bc48143
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diff --git a/docs/conf.py b/docs/conf.py
@@ -27,7 +27,7 @@
 root_url = root_url if root_url.endswith("/") else root_url + "/"
 
 # The full version, including alpha/beta/rc tags
-release = "1.2.0"
+release = "1.3.0"
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/docs/developer-guide/api/README.md b/docs/developer-guide/api/README.md
@@ -228,6 +228,7 @@
 - [`utils.all_values_are_floats`](./concrete.ml.common.utils.md#function-all_values_are_floats): Indicate if all unpacked values are of a supported float dtype.
 - [`utils.all_values_are_integers`](./concrete.ml.common.utils.md#function-all_values_are_integers): Indicate if all unpacked values are of a supported integer dtype.
 - [`utils.all_values_are_of_dtype`](./concrete.ml.common.utils.md#function-all_values_are_of_dtype): Indicate if all unpacked values are of the specified dtype(s).
+- [`utils.array_allclose_and_same_shape`](./concrete.ml.common.utils.md#function-array_allclose_and_same_shape): Check if two numpy arrays are equal within a tolerances and have the same shape.
 - [`utils.check_dtype_and_cast`](./concrete.ml.common.utils.md#function-check_dtype_and_cast): Convert any allowed type into an array and cast it if required.
 - [`utils.check_there_is_no_p_error_options_in_configuration`](./concrete.ml.common.utils.md#function-check_there_is_no_p_error_options_in_configuration): Check the user did not set p_error or global_p_error in configuration.
 - [`utils.compute_bits_precision`](./concrete.ml.common.utils.md#function-compute_bits_precision): Compute the number of bits required to represent x.

diff --git a/docs/developer-guide/api/concrete.ml.common.utils.md b/docs/developer-guide/api/concrete.ml.common.utils.md
@@ -455,6 +455,36 @@ Indicate if all unpacked values are of the specified dtype(s).
 
 ______________________________________________________________________
 
+<a href="../../../src/concrete/ml/common/utils.py#L588"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>function</kbd> `array_allclose_and_same_shape`
+
+```python
+array_allclose_and_same_shape(
+    a,
+    b,
+    rtol: float = 1e-05,
+    atol: float = 1e-08,
+    equal_nan: bool = False
+) → bool
+```
+
+Check if two numpy arrays are equal within a tolerances and have the same shape.
+
+**Args:**
+
+- <b>`a`</b> (numpy.ndarray):  The first input array
+- <b>`b`</b> (numpy.ndarray):  The second input array
+- <b>`rtol`</b> (float):  The relative tolerance parameter
+- <b>`atol`</b> (float):  The absolute tolerance parameter
+- <b>`equal_nan`</b> (bool):  Whether to compare NaN’s as equal. If True, NaN’s in a will be considered  equal to NaN’s in b in the output array
+
+**Returns:**
+
+- <b>`bool`</b>:  True if the arrays have the same shape and all elements are equal within the specified  tolerances, False otherwise.
+
+______________________________________________________________________
+
 <a href="../../../src/concrete/ml/common/utils.py#L52"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `FheMode`

diff --git a/docs/developer-guide/api/concrete.ml.quantization.quantizers.md b/docs/developer-guide/api/concrete.ml.quantization.quantizers.md
@@ -8,6 +8,7 @@ Quantization utilities for a numpy array/tensor.
 
 ## **Global Variables**
 
+- **QUANT_ROUND_LIKE_ROUND_PBS**
 - **STABILITY_CONST**
 
 ______________________________________________________________________

diff --git a/docs/developer-guide/api/concrete.ml.sklearn.base.md b/docs/developer-guide/api/concrete.ml.sklearn.base.md
@@ -3823,7 +3823,7 @@ For KNN, the de-quantization step is not required. Because \_inference returns t
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/base.py#L2126"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/base.py#L2127"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `predict`
 
@@ -3846,7 +3846,7 @@ quantize_input(X: 'ndarray') → ndarray
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/base.py#L2137"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/base.py#L2138"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `SklearnKNeighborsClassifierMixin`
 
@@ -4183,7 +4183,7 @@ For KNN, the de-quantization step is not required. Because \_inference returns t
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/base.py#L2126"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/base.py#L2127"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `predict`
 

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "concrete-ml"
-version = "1.2.0"
+version = "1.3.0"
 description = "Concrete ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists."
 license = "BSD-3-Clause-Clear"
 authors = [

diff --git a/src/concrete/ml/version.py b/src/concrete/ml/version.py
@@ -1,3 +1,3 @@
 """File to manage the version of the package."""
 # Auto-generated by "make set_version" do not modify
-__version__ = "1.2.0"
+__version__ = "1.3.0"