Stay away from 2024.0.1 compiler package (IntelPython#1643)

* Stay away from 2024.0.1 compiler package * Limit max compiler version while building docs 4f3b2de
antonwolfy · Dec 12, 2023 · 6c71ac2 · 6c71ac2
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diff --git a/_modules/dpnp/dpnp_iface.html b/_modules/dpnp/dpnp_iface.html
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diff --git a/_modules/dpnp/dpnp_iface_arraycreation.html b/_modules/dpnp/dpnp_iface_arraycreation.html
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diff --git a/_modules/dpnp/dpnp_iface_bitwise.html b/_modules/dpnp/dpnp_iface_bitwise.html
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diff --git a/_modules/dpnp/dpnp_iface_indexing.html b/_modules/dpnp/dpnp_iface_indexing.html
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@@ -1632,11 +1632,11 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 <span class="sd">    --------</span>
 <span class="sd">    :obj:`dpnp.minimum` : Element-wise minimum of two arrays, propagates NaNs.</span>
 <span class="sd">    :obj:`dpnp.fmax` : Element-wise maximum of two arrays, ignores NaNs.</span>
-<span class="sd">    :obj:`dpnp.amax` : The maximum value of an array along a given axis, propagates NaNs.</span>
-<span class="sd">    :obj:`dpnp.nanmax` : The maximum value of an array along a given axis, ignores NaNs.</span>
-<span class="sd">    :obj:`dpnp.fmax` : Element-wise maximum of two arrays, ignores NaNs.</span>
-<span class="sd">    :obj:`dpnp.amax` : The maximum value of an array along a given axis, propagates NaNs.</span>
+<span class="sd">    :obj:`dpnp.max` : The maximum value of an array along a given axis, propagates NaNs.</span>
 <span class="sd">    :obj:`dpnp.nanmax` : The maximum value of an array along a given axis, ignores NaNs.</span>
+<span class="sd">    :obj:`dpnp.fmin` : Element-wise minimum of two arrays, ignores NaNs.</span>
+<span class="sd">    :obj:`dpnp.min` : The minimum value of an array along a given axis, propagates NaNs.</span>
+<span class="sd">    :obj:`dpnp.nanmin` : The minimum value of an array along a given axis, ignores NaNs.</span>
 
 <span class="sd">    Examples</span>
 <span class="sd">    --------</span>
@@ -1714,11 +1714,11 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 <span class="sd">    --------</span>
 <span class="sd">    :obj:`dpnp.maximum` : Element-wise maximum of two arrays, propagates NaNs.</span>
 <span class="sd">    :obj:`dpnp.fmin` : Element-wise minimum of two arrays, ignores NaNs.</span>
-<span class="sd">    :obj:`dpnp.amin` : The minimum value of an array along a given axis, propagates NaNs.</span>
-<span class="sd">    :obj:`dpnp.nanmin` : The minimum value of an array along a given axis, ignores NaNs.</span>
-<span class="sd">    :obj:`dpnp.fmin` : Element-wise minimum of two arrays, ignores NaNs.</span>
-<span class="sd">    :obj:`dpnp.amin` : The minimum value of an array along a given axis, propagates NaNs.</span>
+<span class="sd">    :obj:`dpnp.min` : The minimum value of an array along a given axis, propagates NaNs.</span>
 <span class="sd">    :obj:`dpnp.nanmin` : The minimum value of an array along a given axis, ignores NaNs.</span>
+<span class="sd">    :obj:`dpnp.fmax` : Element-wise maximum of two arrays, ignores NaNs.</span>
+<span class="sd">    :obj:`dpnp.max` : The maximum value of an array along a given axis, propagates NaNs.</span>
+<span class="sd">    :obj:`dpnp.nanmax` : The maximum value of an array along a given axis, ignores NaNs.</span>
 
 <span class="sd">    Examples</span>
 <span class="sd">    --------</span>