[#absl-log_uniform_int_distribution]
= xref:absl.adoc[absl]::log_uniform_int_distribution
:relfileprefix: ../
:mrdocs:

Returns a random variate R in range [min, max]such that floor(log(R‐min, base)) is uniformly distributed.

== Synopsis

Declared in `<absl/random/log_uniform_int_distribution.h>`

[source,cpp,subs="verbatim,replacements,macros,-callouts"]
----
template<typename IntType = int>
class log_uniform_int_distribution;
----

== Description

We ensure uniformity by discretization using the boundary sets [0, 1, base, base * base, ... min(base].

== Types

[cols="1,4"]
|===
| Name| Description
| xref:absl/log_uniform_int_distribution/param_type.adoc[`param_type`] 
| The parameter set of the distribution.
|===


== Type Aliases

[cols="1,4"]
|===
| Name| Description
| xref:absl/log_uniform_int_distribution/result_type.adoc[`result_type`] 
| The type of the values produced by the distribution.
|===


== Member Functions

[cols="1,4"]
|===
| Name| Description
| xref:absl/log_uniform_int_distribution/2constructor-0f4.adoc[`log_uniform_int_distribution`]         [.small]#[constructor]#
| Constructors
| xref:absl/log_uniform_int_distribution/base.adoc[`base`] 
| Returns the base of the logarithm.
| xref:absl/log_uniform_int_distribution/max.adoc[`max`] 
| Returns the largest value the distribution can produce.
| xref:absl/log_uniform_int_distribution/min.adoc[`min`] 
| Returns the smallest value the distribution can produce.
| xref:absl/log_uniform_int_distribution/operator_call-00.adoc[`operator()`] 
| Function call operators
| xref:absl/log_uniform_int_distribution/param-0c.adoc[`param`] 
| `param` overloads
| xref:absl/log_uniform_int_distribution/reset.adoc[`reset`] 
| Resets the internal state of the distribution.
|===


== Friends

[cols="1,4"]
|===
| Name| Description
| `xref:absl/operator_not_eq-072.adoc[absl::operator!=]`
| Compares two distributions for inequality.
| `xref:absl/operator_eq-09.adoc[absl::operator==]`
| Compares two distributions for equality.
|===


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