PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` package Paws::ElasticInference; use Moose; sub service { 'api.elastic-inference' } sub signing_name { 'elastic-inference' } sub version { '2017-07-25' } sub flattened_arrays { 0 } has max_attempts => (is => 'ro', isa => 'Int', default => 5); has retry => (is => 'ro', isa => 'HashRef', default => sub { { base => 'rand', type => 'exponential', growth_factor => 2 } }); has retriables => (is => 'ro', isa => 'ArrayRef', default => sub { [ ] }); with 'Paws::API::Caller', 'Paws::API::EndpointResolver', 'Paws::Net::V4Signature', 'Paws::Net::RestJsonCaller'; sub DescribeAcceleratorOfferings { my $self = shift; my $call_object = $self->new_with_coercions('Paws::ElasticInference::DescribeAcceleratorOfferings', @_); return $self->caller->do_call($self, $call_object); } sub DescribeAccelerators { my $self = shift; my $call_object = $self->new_with_coercions('Paws::ElasticInference::DescribeAccelerators', @_); return $self->caller->do_call($self, $call_object); } sub DescribeAcceleratorTypes { my $self = shift; my $call_object = $self->new_with_coercions('Paws::ElasticInference::DescribeAcceleratorTypes', @_); return $self->caller->do_call($self, $call_object); } sub ListTagsForResource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::ElasticInference::ListTagsForResource', @_); return $self->caller->do_call($self, $call_object); } sub TagResource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::ElasticInference::TagResource', @_); return $self->caller->do_call($self, $call_object); } sub UntagResource { my $self = shift; my $call_object = $self->new_with_coercions('Paws::ElasticInference::UntagResource', @_); return $self->caller->do_call($self, $call_object); } sub DescribeAllAccelerators { my $self = shift; my $callback = shift @_ if (ref($_[0]) eq 'CODE'); my $result = $self->DescribeAccelerators(@_); my $next_result = $result; if (not defined $callback) { while ($next_result->nextToken) { $next_result = $self->DescribeAccelerators(@_, nextToken => $next_result->nextToken); push @{ $result->acceleratorSet }, @{ $next_result->acceleratorSet }; } return $result; } else { while ($result->nextToken) { $callback->($_ => 'acceleratorSet') foreach (@{ $result->acceleratorSet }); $result = $self->DescribeAccelerators(@_, nextToken => $result->nextToken); } $callback->($_ => 'acceleratorSet') foreach (@{ $result->acceleratorSet }); } return undef } sub operations { qw/DescribeAcceleratorOfferings DescribeAccelerators DescribeAcceleratorTypes ListTagsForResource TagResource UntagResource / } 1; ### main pod documentation begin ### =head1 NAME Paws::ElasticInference - Perl Interface to AWS Amazon Elastic Inference =head1 SYNOPSIS use Paws; my $obj = Paws->service('ElasticInference'); my $res = $obj->Method( Arg1 => $val1, Arg2 => [ 'V1', 'V2' ], # if Arg3 is an object, the HashRef will be used as arguments to the constructor # of the arguments type Arg3 => { Att1 => 'Val1' }, # if Arg4 is an array of objects, the HashRefs will be passed as arguments to # the constructor of the arguments type Arg4 => [ { Att1 => 'Val1' }, { Att1 => 'Val2' } ], ); =head1 DESCRIPTION Elastic Inference public APIs. For the AWS API documentation, see L =head1 METHODS =head2 DescribeAcceleratorOfferings =over =item LocationType => Str =item [AcceleratorTypes => ArrayRef[Str|Undef]] =back Each argument is described in detail in: L Returns: a L instance Describes the locations in which a given accelerator type or set of types is present in a given region. =head2 DescribeAccelerators =over =item [AcceleratorIds => ArrayRef[Str|Undef]] =item [Filters => ArrayRef[L]] =item [MaxResults => Int] =item [NextToken => Str] =back Each argument is described in detail in: L Returns: a L instance Describes information over a provided set of accelerators belonging to an account. =head2 DescribeAcceleratorTypes Each argument is described in detail in: L Returns: a L instance Describes the accelerator types available in a given region, as well as their characteristics, such as memory and throughput. =head2 ListTagsForResource =over =item ResourceArn => Str =back Each argument is described in detail in: L Returns: a L instance Returns all tags of an Elastic Inference Accelerator. =head2 TagResource =over =item ResourceArn => Str =item Tags => L =back Each argument is described in detail in: L Returns: a L instance Adds the specified tags to an Elastic Inference Accelerator. =head2 UntagResource =over =item ResourceArn => Str =item TagKeys => ArrayRef[Str|Undef] =back Each argument is described in detail in: L Returns: a L instance Removes the specified tags from an Elastic Inference Accelerator. =head1 PAGINATORS Paginator methods are helpers that repetively call methods that return partial results =head2 DescribeAllAccelerators(sub { },[AcceleratorIds => ArrayRef[Str|Undef], Filters => ArrayRef[L], MaxResults => Int, NextToken => Str]) =head2 DescribeAllAccelerators([AcceleratorIds => ArrayRef[Str|Undef], Filters => ArrayRef[L], MaxResults => Int, NextToken => Str]) If passed a sub as first parameter, it will call the sub for each element found in : - acceleratorSet, passing the object as the first parameter, and the string 'acceleratorSet' as the second parameter If not, it will return a a L instance with all the Cs; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory. =head1 SEE ALSO This service class forms part of L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut