fix documentation and upgrade version

Author: xadupre

_doc/examples/plot_benchmark_rf.py

@@ -126,7 +126,7 @@ def measure_inference(fct, X, repeat, max_time=5, quantile=1):
 # model for a random forest and onnxruntime after it was converted
 # into ONNX and for the following configurations.
 
-small = cpu_count() < 12
+small = cpu_count() < 25
 if small:
     N = 1000
     n_features = 10

onnx_array_api/array_api/_onnx_common.py

@@ -1,7 +1,11 @@
 from typing import Any, Optional
 import numpy as np
 from onnx import TensorProto
-import array_api_strict
+
+try:
+    import array_api_strict
+except ImportError:
+    array_api_strict = None
 
 from ..npx.npx_types import (
     DType,
@@ -27,7 +31,7 @@
 )
 
 
-Array = type(array_api_strict.ones((1,)))
+Array = type(array_api_strict.ones((1,))) if array_api_strict else None
 
 
 # These functions with no specific code do not have to be