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stmt |
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cond |
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package Geo::PostalCode::NoDB; |
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89876
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use strict; |
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165
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use vars qw($VERSION); |
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2970
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use FileHandle; |
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39458
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4665
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use POSIX; |
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30256
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$VERSION = '0.01'; |
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14297
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use constant PI => 3.14159265; |
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use constant LAT_DEGREES => 180; |
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use constant LON_DEGREES => 360; |
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4895
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# Earth radius in various units |
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our %_UNITS = ( |
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mi => 3956, |
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km => 6376.5, |
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); |
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# Aliases |
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$_UNITS{$_} = $_UNITS{mi} foreach (qw(mile miles)); |
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$_UNITS{$_} = $_UNITS{km} foreach (qw(kilometer kilometers)); |
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sub new { |
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2925
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my ( $class, %options ) = @_; |
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4
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my $zip = FileHandle->new( $options{csvfile}, "r" ) |
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or die "Couldn't open 'data.csv': $!\n"; |
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4
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686
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my ( %postalcode, %city, %latlon ); |
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0
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0
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my ( %zipcode, %cell, %lat, %lon ); |
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## from installdb |
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# Skip header line |
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67816
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<$zip>; |
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55
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while (<$zip>) { |
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172764
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216649
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chomp; |
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172764
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180006
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my ( $zipcode, $lat, $lon, $city, $state ); |
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# strip enclosing quotes from fields |
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1209348
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2451609
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( $zipcode, $city, $state, $lat, $lon ) = |
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172764
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543612
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map { substr( $_, 1, length($_) - 2 ) } |
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split(","); |
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# the CSV format has mixed case cities |
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172764
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478287
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$city = uc($city); |
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48
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172764
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701598
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$zipcode{$zipcode} = "$lat,$lon,$city,$state"; |
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172764
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347997
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$lat{$zipcode} = $lat; |
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172764
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321859
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$lon{$zipcode} = $lon; |
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52
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172764
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405596
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my $int_lat = floor($lat); |
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172764
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318843
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my $int_lon = floor($lon); |
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55
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172764
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732867
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$cell{"$int_lat-$int_lon"} .= $zipcode; |
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172764
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839936
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$city{"$state$city"} .= $zipcode; |
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} |
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59
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4
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61647
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foreach my $k ( keys %city ) { |
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121364
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320537
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my $v = $city{$k}; |
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121364
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500191
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my @postal_codes = ( $v =~ m!(.{5})!g ); |
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121364
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292428
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next unless @postal_codes; |
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121364
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198986
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my ( $tot_lat, $tot_lon, $count ) = ( 0, 0, 0, 0 ); |
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121364
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176619
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for (@postal_codes) { |
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172764
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483841
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$tot_lat += $lat{$_}; |
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172764
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381767
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$tot_lon += $lon{$_}; |
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172764
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309009
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$count++; |
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} |
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121364
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564865
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my $avg_lat = sprintf( "%.5f", $tot_lat / $count ); |
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121364
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435791
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my $avg_lon = sprintf( "%.5f", $tot_lon / $count ); |
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121364
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496366
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$city{$k} = "$v|$avg_lat|$avg_lon"; |
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} |
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74
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4
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28489
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my $self = { postalcode => \%zipcode, city => \%city, latlon => \%cell }; |
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76
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4
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100
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66
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96
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if ( $options{units} && $_UNITS{ lc $options{units} } ) { |
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100
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77
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2
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10
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$self->{_earth_radius} = $_UNITS{ lc $options{units} }; |
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} |
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elsif ( $options{earth_radius} ) { |
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1
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4
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$self->{_earth_radius} = $options{earth_radius}; |
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} |
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else { |
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1
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6
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$self->{_earth_radius} = $_UNITS{mi}; |
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} |
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86
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4
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266531
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bless $self, $class; |
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} |
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89
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sub lookup_postal_code { |
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2434
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2434
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1
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5849
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my ( $self, %options ) = @_; |
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2434
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4281
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my $v = $self->{postalcode}->{ $options{postal_code} }; |
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2434
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50
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4761
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return unless $v; |
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2434
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8909
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my ( $lat, $lon, $city, $state ) = split( /,/, $v ); |
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2434
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12841
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return { lat => $lat, lon => $lon, city => $city, state => $state }; |
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} |
96
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97
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sub lookup_city_state { |
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3
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3
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1
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16741
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my ( $self, %options ) = @_; |
99
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3
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18
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my $city_state = uc( join( "", $options{state}, $options{city} ) ); |
100
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3
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15
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my $v = $self->{city}->{$city_state}; |
101
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3
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50
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14
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return unless $v; |
102
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3
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18
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my ( $postal_code_str, $lat, $lon ) = split( /\|/, $v ); |
103
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3
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138
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my @postal_codes = ( $postal_code_str =~ m!(.{5})!g ); |
104
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3
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30
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return { lat => $lat, lon => $lon, postal_codes => \@postal_codes }; |
105
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} |
106
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107
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sub calculate_distance { |
108
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5
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5
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1
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25958
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my ( $self, %options ) = @_; |
109
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5
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12
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my ( $a, $b ) = @{ $options{postal_codes} }; |
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17
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110
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5
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21
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my $ra = $self->lookup_postal_code( postal_code => $a ); |
111
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5
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16
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my $rb = $self->lookup_postal_code( postal_code => $b ); |
112
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5
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50
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33
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45
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return unless $ra && $rb; |
113
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5
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27
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return _calculate_distance( $ra->{lat}, $ra->{lon}, $rb->{lat}, $rb->{lon}, |
114
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$self->{_earth_radius} ); |
115
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} |
116
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117
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# in miles |
118
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# in miles |
119
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sub _calculate_distance { |
120
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16128
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16128
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30617
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my ( $lat_1, $lon_1, $lat_2, $lon_2, $rho ) = @_; |
121
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122
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# Convert all the degrees to radians |
123
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16128
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19614
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$lat_1 *= PI / 180; |
124
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16128
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19099
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$lon_1 *= PI / 180; |
125
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16128
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27167
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$lat_2 *= PI / 180; |
126
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16128
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26533
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$lon_2 *= PI / 180; |
127
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128
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# Find the deltas |
129
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16128
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20911
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my $delta_lat = $lat_2 - $lat_1; |
130
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16128
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19933
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my $delta_lon = $lon_2 - $lon_1; |
131
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132
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# Find the Great Circle distance |
133
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16128
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280135
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my $temp = |
134
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sin( $delta_lat / 2.0 )**2 + |
135
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cos($lat_1) * cos($lat_2) * sin( $delta_lon / 2.0 )**2; |
136
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137
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16128
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62528
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return $rho * 2 * atan2( sqrt($temp), sqrt( 1 - $temp ) ); |
138
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} |
139
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140
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sub nearby_postal_codes { |
141
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5
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5
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1
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3112
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my $self = shift; |
142
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5
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12
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[ map { $_->{postal_code} } @{ $self->query_postal_codes(@_) } ]; |
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2955
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12266
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5
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28
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143
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} |
144
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145
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sub query_postal_codes { |
146
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4
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4
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4164
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use Data::Dumper; |
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4
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26387
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4
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6786
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147
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9
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9
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1
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17429
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my ( $self, %options ) = @_; |
148
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9
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26
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my $pcdb = $self->{postalcode}; |
149
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9
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28
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my $lldb = $self->{latlon}; |
150
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151
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9
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39
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my ( $lat, $lon, $distance, $order_by ) = |
152
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@options{qw(lat lon distance order_by)}; |
153
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9
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20
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my %select = map { $_ => 1 } @{ $options{select} }; |
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37
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9
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40
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154
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155
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9
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73
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my $distance_degrees = |
156
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_min( $distance / ( PI * $self->{_earth_radius} / LAT_DEGREES ), |
157
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LAT_DEGREES ); |
158
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9
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137
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my $min_lat = floor( $lat - $distance_degrees ); |
159
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9
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34
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my $max_lat = floor( $lat + $distance_degrees ); |
160
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9
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19
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my @postal_codes; |
161
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9
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33
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for my $x ( $min_lat .. $max_lat ) { |
162
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21
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53
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my $lon_rtw; # Latitude wrapped 'round-the-world, so correct longitude |
163
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164
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# Fix absurdly large latitudes. |
165
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21
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133
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while ( $x > LAT_DEGREES ) { |
166
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0
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0
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$x -= LAT_DEGREES; |
167
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} |
168
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169
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# If we wrapped around a pole, fix up the latitude and set a flag |
170
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# to fix the longitude when we get there. |
171
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21
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50
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141
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if ( $x > ( LAT_DEGREES / 2 ) ) { |
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50
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172
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0
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0
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$x = -$x + LAT_DEGREES; |
173
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0
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0
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$lon_rtw = 1; |
174
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} |
175
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elsif ( $x < -( LAT_DEGREES / 2 ) ) { |
176
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0
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0
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$x = -$x - LAT_DEGREES; |
177
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0
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0
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$lon_rtw = 1; |
178
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} |
179
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else { |
180
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21
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48
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$lon_rtw = 0; |
181
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} |
182
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183
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# Calculate the number of degrees longitude we need to scan |
184
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21
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43
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my ($lon_distance_degrees); |
185
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21
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50
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86
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if ( $x == 90 ) # Special case for north pole |
186
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{ |
187
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0
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0
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$lon_distance_degrees = LON_DEGREES / 2; |
188
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} |
189
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else { |
190
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21
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126
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$lon_distance_degrees = _min( |
191
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$distance / |
192
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_min( $self->_lon_miles($x), $self->_lon_miles( $x + 1 ) ), |
193
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LON_DEGREES / 2 |
194
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); |
195
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} |
196
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197
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# If the latitude wrapped 'round-the-world and the longitude |
198
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# search diameter extends around the entire world, the search |
199
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# areas for one latitude and its round-the-world counterpart will |
200
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# overlap. Correct this by shrinking the search area of the |
201
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# wrapped latitude. |
202
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# Yes, this is confusing. |
203
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21
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50
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33
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128
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if ( $lon_rtw && $lon_distance_degrees > ( LON_DEGREES / 4 ) ) { |
204
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0
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0
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$lon_distance_degrees = LON_DEGREES / 2 - $lon_distance_degrees; |
205
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} |
206
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21
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122
|
my $min_lon = floor( $lon - $lon_distance_degrees ); |
207
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21
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89
|
my $max_lon = floor( $lon + $lon_distance_degrees ); |
208
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209
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# Special-case hack: |
210
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# Shrink whole-world searches, to prevent overlap. |
211
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21
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50
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99
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if ( ( $max_lon - $min_lon ) == LON_DEGREES ) { |
212
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0
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0
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$max_lon--; |
213
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} |
214
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215
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21
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55
|
for my $y ( $min_lon .. $max_lon ) { |
216
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217
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# Correct longitude for latitude that wrapped 'round-the-world. |
218
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61
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50
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320
|
if ($lon_rtw) { $y += 180; } |
|
0
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0
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219
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220
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# Correct longitudes that wrap around boundaries |
221
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61
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281
|
while ( $y > ( LON_DEGREES / 2 ) ) { $y -= LON_DEGREES; } |
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0
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0
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222
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61
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250
|
while ( $y < -( LON_DEGREES / 2 ) ) { $y += LON_DEGREES; } |
|
0
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0
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223
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224
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next |
225
|
61
|
100
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259
|
unless _calculate_distance( |
226
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|
$lat, $lon, |
227
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_test_near( $lat, $x ), |
228
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_test_near( $lon, $y ), |
229
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|
$self->{_earth_radius} |
230
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) <= $distance; |
231
|
53
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18504
|
my $postal_code_str = $lldb->{"$x-$y"}; |
232
|
53
|
100
|
|
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|
263
|
next unless $postal_code_str; |
233
|
49
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28578
|
my @cell_zips = ( $postal_code_str =~ m!(.{5})!g ); |
234
|
49
|
100
|
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|
1074
|
if ( |
235
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|
_calculate_distance( |
236
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|
|
$lat, $lon, |
237
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|
|
_test_far( $lat, $x ), _test_far( $lon, $y ), |
238
|
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|
|
$self->{_earth_radius} |
239
|
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|
|
) <= $distance |
240
|
|
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|
) |
241
|
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|
{ |
242
|
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|
243
|
|
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|
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|
|
# include all of cell |
244
|
2
|
|
|
|
|
8
|
for (@cell_zips) { |
245
|
1040
|
|
|
|
|
2698
|
my %h = ( postal_code => $_ ); |
246
|
1040
|
0
|
33
|
|
|
2860
|
if ( $select{distance} |
|
|
|
33
|
|
|
|
|
|
|
|
0
|
|
|
|
|
|
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|
0
|
|
|
|
|
247
|
|
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|
|
|
|
|| $select{lat} |
248
|
|
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|
|
|
|
|| $select{lon} |
249
|
|
|
|
|
|
|
|| $select{city} |
250
|
|
|
|
|
|
|
|| $select{state} ) |
251
|
|
|
|
|
|
|
{ |
252
|
1040
|
|
|
|
|
3417
|
my ( $rlat, $rlon, undef ) = |
253
|
|
|
|
|
|
|
split( /,/, $pcdb->{$_}, 3 ); |
254
|
1040
|
|
|
|
|
1262
|
my $r; |
255
|
1040
|
|
|
|
|
1993
|
for my $field ( keys %select ) { |
256
|
5200
|
100
|
|
|
|
13703
|
if ( $field eq 'distance' ) { |
|
|
50
|
|
|
|
|
|
|
|
100
|
|
|
|
|
|
|
|
100
|
|
|
|
|
|
257
|
1040
|
|
|
|
|
2264
|
$h{distance} = |
258
|
|
|
|
|
|
|
_calculate_distance( $lat, $lon, $rlat, $rlon, |
259
|
|
|
|
|
|
|
$self->{_earth_radius} ); |
260
|
|
|
|
|
|
|
} |
261
|
|
|
|
|
|
|
elsif ( $field eq 'postal_code' ) { |
262
|
|
|
|
|
|
|
; # Do Nothing. |
263
|
|
|
|
|
|
|
} |
264
|
|
|
|
|
|
|
elsif ( $field eq 'lat' ) { |
265
|
1040
|
|
|
|
|
3827
|
$h{lat} = $rlat; |
266
|
|
|
|
|
|
|
} |
267
|
|
|
|
|
|
|
elsif ( $field eq 'lon' ) { |
268
|
1040
|
|
|
|
|
1790
|
$h{lon} = $rlon; |
269
|
|
|
|
|
|
|
} |
270
|
|
|
|
|
|
|
else { |
271
|
2080
|
100
|
|
|
|
4870
|
$r = |
272
|
|
|
|
|
|
|
$self->lookup_postal_code( postal_code => $_ ) |
273
|
|
|
|
|
|
|
unless $r; |
274
|
2080
|
|
|
|
|
4248
|
$h{$field} = $r->{$field}; |
275
|
|
|
|
|
|
|
} |
276
|
|
|
|
|
|
|
} |
277
|
|
|
|
|
|
|
} |
278
|
1040
|
|
|
|
|
3340
|
push @postal_codes, \%h; |
279
|
|
|
|
|
|
|
} |
280
|
|
|
|
|
|
|
} |
281
|
|
|
|
|
|
|
else { |
282
|
|
|
|
|
|
|
|
283
|
|
|
|
|
|
|
# include only postal code with distance |
284
|
47
|
|
|
|
|
157
|
for (@cell_zips) { |
285
|
|
|
|
|
|
|
|
286
|
|
|
|
|
|
|
# Can we guarantee this will never be undef?... |
287
|
14973
|
|
|
|
|
73819
|
my ( $rlat, $rlon, undef ) = split( /,/, $pcdb->{$_}, 3 ); |
288
|
14973
|
|
|
|
|
20216
|
my $r; |
289
|
14973
|
|
|
|
|
33303
|
my $d = |
290
|
|
|
|
|
|
|
_calculate_distance( $lat, $lon, $rlat, $rlon, |
291
|
|
|
|
|
|
|
$self->{_earth_radius} ); |
292
|
14973
|
100
|
|
|
|
43772
|
if ( $d <= $distance ) { |
293
|
7830
|
|
|
|
|
26860
|
my %h = ( postal_code => $_ ); |
294
|
7830
|
|
|
|
|
17681
|
for my $field ( keys %select ) { |
295
|
17391
|
100
|
|
|
|
49914
|
if ( $field eq 'distance' ) { |
|
|
50
|
|
|
|
|
|
|
|
100
|
|
|
|
|
|
|
|
100
|
|
|
|
|
|
296
|
4875
|
|
|
|
|
9063
|
$h{distance} = $d; |
297
|
|
|
|
|
|
|
} |
298
|
|
|
|
|
|
|
elsif ( $field eq 'postal_code' ) { |
299
|
|
|
|
|
|
|
; # Do Nothing. |
300
|
|
|
|
|
|
|
} |
301
|
|
|
|
|
|
|
elsif ( $field eq 'lat' ) { |
302
|
4875
|
|
|
|
|
13077
|
$h{lat} = $rlat; |
303
|
|
|
|
|
|
|
} |
304
|
|
|
|
|
|
|
elsif ( $field eq 'lon' ) { |
305
|
4875
|
|
|
|
|
12866
|
$h{lon} = $rlon; |
306
|
|
|
|
|
|
|
} |
307
|
|
|
|
|
|
|
else { |
308
|
2766
|
100
|
|
|
|
6460
|
$r = |
309
|
|
|
|
|
|
|
$self->lookup_postal_code( postal_code => $_ ) |
310
|
|
|
|
|
|
|
unless $r; |
311
|
2766
|
|
|
|
|
5987
|
$h{$field} = $r->{$field}; |
312
|
|
|
|
|
|
|
} |
313
|
|
|
|
|
|
|
} |
314
|
7830
|
|
|
|
|
27892
|
push @postal_codes, \%h; |
315
|
|
|
|
|
|
|
} |
316
|
|
|
|
|
|
|
} |
317
|
|
|
|
|
|
|
} |
318
|
|
|
|
|
|
|
} |
319
|
|
|
|
|
|
|
} |
320
|
9
|
100
|
|
|
|
59
|
if ($order_by) { |
321
|
4
|
50
|
33
|
|
|
45
|
if ( $order_by eq 'city' || $order_by eq 'state' ) { |
322
|
0
|
|
|
|
|
0
|
@postal_codes = |
323
|
0
|
|
|
|
|
0
|
sort { $a->{$order_by} cmp $b->{$order_by} } @postal_codes; |
324
|
|
|
|
|
|
|
} |
325
|
|
|
|
|
|
|
else { |
326
|
46098
|
|
|
|
|
72839
|
@postal_codes = |
327
|
4
|
|
|
|
|
406
|
sort { $a->{$order_by} <=> $b->{$order_by} } @postal_codes; |
328
|
|
|
|
|
|
|
} |
329
|
|
|
|
|
|
|
} |
330
|
9
|
|
|
|
|
151
|
return \@postal_codes; |
331
|
|
|
|
|
|
|
} |
332
|
|
|
|
|
|
|
|
333
|
|
|
|
|
|
|
sub _test_near { |
334
|
122
|
|
|
122
|
|
215
|
my ( $center, $cell ) = @_; |
335
|
122
|
100
|
33
|
|
|
804
|
if ( floor($center) == $cell ) { |
|
|
100
|
66
|
|
|
|
|
336
|
43
|
|
|
|
|
185
|
return $center; |
337
|
|
|
|
|
|
|
} |
338
|
|
|
|
|
|
|
elsif ( $cell < $center |
339
|
|
|
|
|
|
|
and ( _sign($cell) == _sign($center) or $center < ( LON_DEGREES / 4 ) ) |
340
|
|
|
|
|
|
|
) |
341
|
|
|
|
|
|
|
{ |
342
|
33
|
|
|
|
|
157
|
return $cell + 1; |
343
|
|
|
|
|
|
|
} |
344
|
|
|
|
|
|
|
else { |
345
|
46
|
|
|
|
|
200
|
return $cell; |
346
|
|
|
|
|
|
|
} |
347
|
|
|
|
|
|
|
} |
348
|
|
|
|
|
|
|
|
349
|
|
|
|
|
|
|
sub _sign { |
350
|
66
|
50
|
|
66
|
|
317
|
return $_[0] == 0 ? 0 : ( $_[0] / abs( $_[0] ) ); |
351
|
|
|
|
|
|
|
} |
352
|
|
|
|
|
|
|
|
353
|
|
|
|
|
|
|
sub _test_far { |
354
|
98
|
|
|
98
|
|
249
|
my ( $center, $cell ) = @_; |
355
|
98
|
100
|
|
|
|
514
|
if ( floor($center) == $cell ) { |
|
|
100
|
|
|
|
|
|
356
|
40
|
100
|
|
|
|
2047
|
if ( $center - $cell < 0.5 ) { |
357
|
12
|
|
|
|
|
122
|
return $cell + 1; |
358
|
|
|
|
|
|
|
} |
359
|
|
|
|
|
|
|
else { |
360
|
28
|
|
|
|
|
145
|
return $cell; |
361
|
|
|
|
|
|
|
} |
362
|
|
|
|
|
|
|
} |
363
|
|
|
|
|
|
|
elsif ( $cell < $center ) { |
364
|
23
|
|
|
|
|
136
|
return $cell; |
365
|
|
|
|
|
|
|
} |
366
|
|
|
|
|
|
|
else { |
367
|
35
|
|
|
|
|
162
|
return $cell + 1; |
368
|
|
|
|
|
|
|
} |
369
|
|
|
|
|
|
|
} |
370
|
|
|
|
|
|
|
|
371
|
|
|
|
|
|
|
sub _lon_miles { |
372
|
42
|
|
|
42
|
|
82
|
my $self = shift; |
373
|
42
|
|
|
|
|
85
|
my ($lat) = @_; |
374
|
|
|
|
|
|
|
|
375
|
|
|
|
|
|
|
# Formula from: |
376
|
|
|
|
|
|
|
# http://www.malaysiagis.com/related_technologies/mapping/basics1b.cfm |
377
|
42
|
|
|
|
|
168
|
my $r = |
378
|
|
|
|
|
|
|
cos( $lat * PI / 180 ) * |
379
|
|
|
|
|
|
|
( 2 * PI * $self->{_earth_radius} / LON_DEGREES ); |
380
|
42
|
|
|
|
|
159
|
$r; |
381
|
|
|
|
|
|
|
} |
382
|
|
|
|
|
|
|
|
383
|
|
|
|
|
|
|
sub _min { |
384
|
51
|
100
|
|
51
|
|
259
|
return $_[0] < $_[1] ? $_[0] : $_[1]; |
385
|
|
|
|
|
|
|
} |
386
|
|
|
|
|
|
|
|
387
|
|
|
|
|
|
|
1; |
388
|
|
|
|
|
|
|
__END__ |