CPAN::Groonga

;
use Moo;
use Types::Standard qw( Str Num Int ArrayRef HashRef InstanceOf Maybe );
use Carp;
use JSON;
use Dezi::Doc;
use namespace::autoclean;

our $VERSION = '0.003004';

has 'http_response' => ( i

sponse> )

Returns a new response. I<http_response> should be a HTTP::Response
object from a Dezi JSON response.

=head2 BUILDARGS

Allows for single argument I<http_response> instead of named pair.

 {
    my $self = shift;
    my $json = from_json( $self->http_response->decoded_content );

    # inflate json into self, except results
    for my $attr ( keys %$json ) {
        next if $attr eq 'r

ame;
        }elsif (/\.txt$/) {
          $files->{latex}->{$name}=$rel_name;
        }elsif (/\.json$/) {
          $files->{text}->{$name}=$rel_name;
        }
        
  }


find(\&translate, "$TO

GV);
    $c->retrieveIndex($PWD."/t/docs"); #"/home/santex/data-hub/data-hub" structures=0 text=1 json=1



   my $style = {};
      $style->{explicit}  = 1;
ok($c->simpleMixedSearch($style,$_)) && ok

ader,
the value can be a JSON-encoded payload which can be processed
in Perl. Perl can return the results of the processing through
a global PHP variable (again, possibly JSON encoded). The
C<t/10-hea

d>  where I<payload> is the JSON-encoding
of a hash that defines C<n>, the number to operate on, and
C<result>, the name of the PHP variable to publish the results to.

JSON-encoding the header value 

ines. For complex results, it is also
convenient to assign a JSON-encoded value to a single PHP global
variable.

    ...
    use Mojo::JSON;
    ...
    app->plugin('MojoX::Plugin::PHP',
        { ph

 $distdir = path( glob "BUILD/*" );
    my $metafile;
    foreach my $meta ( "MYMETA.json", "MYMETA.yml", "META.json", "META.yml" ) {
        next unless -e $distdir->child( $meta );
        $metafile

p {
            ( /^[A-Z]+$/ && ! /^MANIFEST/ ) ||
            m{^(Change(s|log)|MYMETA.yml|META.(json|yml)|e[gx]|(ex|s)amples?|demos?)$}i
        }
        map  { $_->basename }
        $distdir->chi

Firefox;

use strict;
use warnings;

use base 'Flower::Chronos::Application::Base';

use URI;
use JSON ();

sub run {
    my $self = shift;
    my ($info) = @_;

    return
         unless $info->{rol

1;
}

sub _find_current_url {
    my $self = shift;

    my $json = $self->_parse_current_session;

    my @tabs;
    foreach my $w (@{$json->{"windows"}}) {
        foreach my $t (@{$w->{"tabs"}}) {

urrent_session {
    my $self = shift;

    my $session = $self->_slurp_session;
    return JSON::decode_json($session);
}

sub _slurp_session {
    my $self = shift;
    my ($session_file) =
      gl

#!/usr/bin/env perl
use File::Find::Rule;
use strict;
use warnings;
use JSON;
use Cache::Memcached::Fast;
use Try::Tiny;
use Data::Dumper;
use Digest::MD5 qw(md5 md5_hex md5_base64);

our $memd = new 

compress_ratio => 0.9,
 max_failures => 1,
 max_size => 512 * 1024,
});



our $all = {};
our $json = JSON->new->allow_nonref;

sub mytry{
  my $cmd = shift;

try {

  #if($cmd){
  my @ret = split "\n

"Document" is like a "row" in a relational DB table.  Elastic::Model
converts your objects into a JSON object (essentially a hashref), which
is the Document that is stored in Elasticsearch.  We use th

n an L</Index>,
has a single L</Type>, an L</ID> and zero or more L<Fields|/Field>.

The original JSON object is stored in the special C<_source> field, which
is returned by default when you retrieve 

01;
use strict;
use warnings;

our $VERSION = "0.05";

use Carp;
use Furl;
use HTTP::Request;
use JSON;
use MIME::Base64;
use Moo;
use POSIX qw(setlocale LC_TIME strftime);
use Scalar::Util qw(reftype

ut => (
    is => 'rw',
    default => sub {
        1,
    },
);

has json => (
    is => 'rw',
    default => sub {
        JSON->new,
    },
);

sub _build_signature {
    my ($self) = @_;
    my $

pi_version . ".$target" );
    $req->header('content-type' => 'application/x-amz-json-1.0');
    $content = $self->json->encode($content);
    $req->content($content);
    $req->header('Content-Length

package HTML::Formhandler::Role::ToJSON;

use Moose::Role;

our $VERSION = '0.002';

sub prepare_error_response {  
  return +{
    form_errors => $_[0]->form_errors,
    error_by_field => $_[0]->erro

sub TO_JSON {
  return $_[0]->is_valid ?
    $_[0]->prepare_valid_response :
      $_[0]->prepare_error_response;
}

1;

=head1 NAME

HTML::Formhandler::Role::ToJSON - Adds a basic 'TO_JSON' method 

 HTML::FormHandler::Moose;

    extends 'HTML::FormHandler';
    with 'HTML::Formhandler::Role::ToJSON';

    has_field 'email' => (
      type=>'Email',
      size => 96,
      required => 1);

    h

> $treex_root );

=head1 DESCRIPTION

Wrapper around regular L<Treex::Core::Node> to provide L<TO_JSON>
method used for converting Treex structure to simple Perl hashes and
arrays.

=head1 IMPORTED CO

andled data type: $decl";
  }

  return $data;
}

=head2 TO_JSON

Called by L<JSON> package while converting blessed items

=cut

sub TO_JSON {
  my $self = shift;

  my $n    = $self->node;
  my $dat

k> so to change that try:

 rpc_serialized_client_inet:
    data_serializer:
        serializer: 'JSON::Syck'

=head1 SEE ALSO

=over 4

=item L<RPC::Serialized>

=back

=head1 AUTHOR

Oliver Gorwits 

arch/reference/current/query-dsl.html> which
exposes much of the power of Lucene through a simple JSON interface.
It is tuned for full text search, but is in no way limited just
to that. It also provi

proved)$';
Readonly our $REGEX_FILETYPES  => '^(android|docx|ios|gettext|html|xlsx|javaProperties|json|pptx|xliff|xlsx|xml|yaml)$';
Readonly our $REGEX_FILEURI    => '^\S+$';
Readonly our $REGEX_INT  

s_in) = @_;
	my (@cmd, $single, @paths, $cmd_str, @su, $json, $tests);
	
	# TESTING
	# println subname(); ##i
	
	# load JSON module
	require JSON::Tiny;
	
	# paths must be sent
	if (! defined $paths_i

		'-c',
		$cmd_str,
	);
	
	# run command, get results
	$json = capturex(@su);
	
	# decode json
	eval {
		$tests = JSON::Tiny::decode_json($json);
	};
	
	# throw error if unable to decode
	if (! $test

ternal {
	my (@paths) = @_;
	my ($rv);
	
	# TESTING
	# println subname(); ##i
	
	# load JSON module
	require JSON::Tiny;
	
	# initialize return hashref
	$rv = {};
	
	# loop through paths
	PATH_LOOP:
	

k> so to change that try:

 rpc_serialized_client_inet:
    data_serializer:
        serializer: 'JSON::Syck'

=head1 SEE ALSO

=over 4

=item L<RPC::Serialized>

=back

=head1 AUTHOR

Oliver Gorwits 

t to JSON

use Moose;
use Treex::Core::Document;
use Treex::Core::TredView;
use Treex::Core::TredView::Labels;
use Treex::PML::Factory;
use Treex::View::TreeLayout;
use Treex::View::Node;
use JSON;

u

);
    push @bundles, \%bundle;
  }

  my $json = JSON->new->allow_nonref->allow_blessed->convert_blessed;
  $json = $json->pretty if $pretty;

  return $json->encode(\@bundles);
}

__PACKAGE__->meta-

d_cache_key {
#===================================
    my $self = shift;
    return $self->model->json->encode( $self->search );
}

#===================================
sub BUILD {
#==================

cpan.org/module/CHI#Getting-and-setting>
methods.

=head2 cache_key

The cache_key is a canonical JSON string representation of the full
L<Elastic::Model::Role::Results/search> parameter.

=head1 AUTH

leted();
use Scalar::Util qw(blessed refaddr weaken);
use List::MoreUtils qw(uniq);
use JSON();
our $JSON = JSON->new->canonical->utf8;

use namespace::autoclean;
my @wrapped_classes = qw(
    domain 

;
    delete $mapping{type};
    return \%mapping;
}

#===================================
sub json {$JSON}
#===================================

1;

=pod

=encoding UTF-8

=head1 NAME

Elastic::Model

late
an object which does L<Elastic::Model::Role::Doc> into a hash ref
suitable for conversion to JSON.

=head3 deflators

    $deflators = $model->deflators

A hashref which caches all of the deflato

-free and document oriented

Elasticsearch stores your objects as JSON documents. Most Perl objects
can be mapped easily to their JSON equivalent.

It is schema free, in that you don't need to define 

your
field/properties/attributes ahead of time; you can just toss it a JSON
document and it'll try to autodetect data types and index your doc. That
said, the power of full text search comes from the 

$self);
    my %original = %{ $self->uid->from_store ? $self->_source : {} };
    my $json     = $self->model->json;
    my %old;

    my ( $o, $c, $o_str, $c_str );
    my $meta  = Class::MOP::class_

ete $original{$key}, $current->{$key} );
        ( $o_str, $c_str )
            = map { ref $_ ? $json->encode($_) : $_ } ( $o, $c );

        if ( $o_str ne $c_str ) {
            $old{$key} = $meta-