Current File : //proc/thread-self/root/opt/alt/ruby30/share/ruby/csv/table.rb
# frozen_string_literal: true
require "forwardable"
class CSV
#
# A CSV::Table is a two-dimensional data structure for representing CSV
# documents. Tables allow you to work with the data by row or column,
# manipulate the data, and even convert the results back to CSV, if needed.
#
# All tables returned by CSV will be constructed from this class, if header
# row processing is activated.
#
class Table
#
# Constructs a new CSV::Table from +array_of_rows+, which are expected
# to be CSV::Row objects. All rows are assumed to have the same headers.
#
# The optional +headers+ parameter can be set to Array of headers.
# If headers aren't set, headers are fetched from CSV::Row objects.
# Otherwise, headers() method will return headers being set in
# headers argument.
#
# A CSV::Table object supports the following Array methods through
# delegation:
#
# * empty?()
# * length()
# * size()
#
def initialize(array_of_rows, headers: nil)
@table = array_of_rows
@headers = headers
unless @headers
if @table.empty?
@headers = []
else
@headers = @table.first.headers
end
end
@mode = :col_or_row
end
# The current access mode for indexing and iteration.
attr_reader :mode
# Internal data format used to compare equality.
attr_reader :table
protected :table
### Array Delegation ###
extend Forwardable
def_delegators :@table, :empty?, :length, :size
#
# Returns a duplicate table object, in column mode. This is handy for
# chaining in a single call without changing the table mode, but be aware
# that this method can consume a fair amount of memory for bigger data sets.
#
# This method returns the duplicate table for chaining. Don't chain
# destructive methods (like []=()) this way though, since you are working
# with a duplicate.
#
def by_col
self.class.new(@table.dup).by_col!
end
#
# Switches the mode of this table to column mode. All calls to indexing and
# iteration methods will work with columns until the mode is changed again.
#
# This method returns the table and is safe to chain.
#
def by_col!
@mode = :col
self
end
#
# Returns a duplicate table object, in mixed mode. This is handy for
# chaining in a single call without changing the table mode, but be aware
# that this method can consume a fair amount of memory for bigger data sets.
#
# This method returns the duplicate table for chaining. Don't chain
# destructive methods (like []=()) this way though, since you are working
# with a duplicate.
#
def by_col_or_row
self.class.new(@table.dup).by_col_or_row!
end
#
# Switches the mode of this table to mixed mode. All calls to indexing and
# iteration methods will use the default intelligent indexing system until
# the mode is changed again. In mixed mode an index is assumed to be a row
# reference while anything else is assumed to be column access by headers.
#
# This method returns the table and is safe to chain.
#
def by_col_or_row!
@mode = :col_or_row
self
end
#
# Returns a duplicate table object, in row mode. This is handy for chaining
# in a single call without changing the table mode, but be aware that this
# method can consume a fair amount of memory for bigger data sets.
#
# This method returns the duplicate table for chaining. Don't chain
# destructive methods (like []=()) this way though, since you are working
# with a duplicate.
#
def by_row
self.class.new(@table.dup).by_row!
end
#
# Switches the mode of this table to row mode. All calls to indexing and
# iteration methods will work with rows until the mode is changed again.
#
# This method returns the table and is safe to chain.
#
def by_row!
@mode = :row
self
end
#
# Returns the headers for the first row of this table (assumed to match all
# other rows). The headers Array passed to CSV::Table.new is returned for
# empty tables.
#
def headers
if @table.empty?
@headers.dup
else
@table.first.headers
end
end
# :call-seq:
# table[n] -> row
# table[range] -> array_of_rows
# table[header] -> array_of_fields
#
# Returns data from the table; does not modify the table.
#
# ---
#
# The expression <tt>table[n]</tt>, where +n+ is a non-negative \Integer,
# returns the +n+th row of the table, if that row exists,
# and if the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.by_row! # => #<CSV::Table mode:row row_count:4>
# table[1] # => #<CSV::Row "Name":"bar" "Value":"1">
# table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4>
# table[1] # => #<CSV::Row "Name":"bar" "Value":"1">
#
# Counts backward from the last row if +n+ is negative:
# table[-1] # => #<CSV::Row "Name":"baz" "Value":"2">
#
# Returns +nil+ if +n+ is too large or too small:
# table[4] # => nil
# table[-4] => nil
#
# Raises an exception if the access mode is <tt>:row</tt>
# and +n+ is not an
# {Integer-convertible object}[https://docs.ruby-lang.org/en/master/implicit_conversion_rdoc.html#label-Integer-Convertible+Objects].
# table.by_row! # => #<CSV::Table mode:row row_count:4>
# # Raises TypeError (no implicit conversion of String into Integer):
# table['Name']
#
# ---
#
# The expression <tt>table[range]</tt>, where +range+ is a Range object,
# returns rows from the table, beginning at row <tt>range.first</tt>,
# if those rows exist, and if the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.by_row! # => #<CSV::Table mode:row row_count:4>
# rows = table[1..2] # => #<CSV::Row "Name":"bar" "Value":"1">
# rows # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">]
# table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4>
# rows = table[1..2] # => #<CSV::Row "Name":"bar" "Value":"1">
# rows # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">]
#
# If there are too few rows, returns all from <tt>range.first</tt> to the end:
# rows = table[1..50] # => #<CSV::Row "Name":"bar" "Value":"1">
# rows # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">]
#
# Special case: if <tt>range.start == table.size</tt>, returns an empty \Array:
# table[table.size..50] # => []
#
# If <tt>range.end</tt> is negative, calculates the ending index from the end:
# rows = table[0..-1]
# rows # => [#<CSV::Row "Name":"foo" "Value":"0">, #<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">]
#
# If <tt>range.start</tt> is negative, calculates the starting index from the end:
# rows = table[-1..2]
# rows # => [#<CSV::Row "Name":"baz" "Value":"2">]
#
# If <tt>range.start</tt> is larger than <tt>table.size</tt>, returns +nil+:
# table[4..4] # => nil
#
# ---
#
# The expression <tt>table[header]</tt>, where +header+ is a \String,
# returns column values (\Array of \Strings) if the column exists
# and if the access mode is <tt>:col</tt> or <tt>:col_or_row</tt>:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.by_col! # => #<CSV::Table mode:col row_count:4>
# table['Name'] # => ["foo", "bar", "baz"]
# table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4>
# col = table['Name']
# col # => ["foo", "bar", "baz"]
#
# Modifying the returned column values does not modify the table:
# col[0] = 'bat'
# col # => ["bat", "bar", "baz"]
# table['Name'] # => ["foo", "bar", "baz"]
#
# Returns an \Array of +nil+ values if there is no such column:
# table['Nosuch'] # => [nil, nil, nil]
def [](index_or_header)
if @mode == :row or # by index
(@mode == :col_or_row and (index_or_header.is_a?(Integer) or index_or_header.is_a?(Range)))
@table[index_or_header]
else # by header
@table.map { |row| row[index_or_header] }
end
end
#
# In the default mixed mode, this method assigns rows for index access and
# columns for header access. You can force the index association by first
# calling by_col!() or by_row!().
#
# Rows may be set to an Array of values (which will inherit the table's
# headers()) or a CSV::Row.
#
# Columns may be set to a single value, which is copied to each row of the
# column, or an Array of values. Arrays of values are assigned to rows top
# to bottom in row major order. Excess values are ignored and if the Array
# does not have a value for each row the extra rows will receive a +nil+.
#
# Assigning to an existing column or row clobbers the data. Assigning to
# new columns creates them at the right end of the table.
#
def []=(index_or_header, value)
if @mode == :row or # by index
(@mode == :col_or_row and index_or_header.is_a? Integer)
if value.is_a? Array
@table[index_or_header] = Row.new(headers, value)
else
@table[index_or_header] = value
end
else # set column
unless index_or_header.is_a? Integer
index = @headers.index(index_or_header) || @headers.size
@headers[index] = index_or_header
end
if value.is_a? Array # multiple values
@table.each_with_index do |row, i|
if row.header_row?
row[index_or_header] = index_or_header
else
row[index_or_header] = value[i]
end
end
else # repeated value
@table.each do |row|
if row.header_row?
row[index_or_header] = index_or_header
else
row[index_or_header] = value
end
end
end
end
end
# :call-seq:
# table.values_at(*indexes) -> array_of_rows
# table.values_at(*headers) -> array_of_columns_data
#
# If the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>,
# and each argument is either an \Integer or a \Range,
# returns rows.
# Otherwise, returns columns data.
#
# In either case, the returned values are in the order
# specified by the arguments. Arguments may be repeated.
#
# ---
#
# Returns rows as an \Array of \CSV::Row objects.
#
# No argument:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.values_at # => []
#
# One index:
# values = table.values_at(0)
# values # => [#<CSV::Row "Name":"foo" "Value":"0">]
#
# Two indexes:
# values = table.values_at(2, 0)
# values # => [#<CSV::Row "Name":"baz" "Value":"2">, #<CSV::Row "Name":"foo" "Value":"0">]
#
# One \Range:
# values = table.values_at(1..2)
# values # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">]
#
# \Ranges and indexes:
# values = table.values_at(0..1, 1..2, 0, 2)
# pp values
# Output:
# [#<CSV::Row "Name":"foo" "Value":"0">,
# #<CSV::Row "Name":"bar" "Value":"1">,
# #<CSV::Row "Name":"bar" "Value":"1">,
# #<CSV::Row "Name":"baz" "Value":"2">,
# #<CSV::Row "Name":"foo" "Value":"0">,
# #<CSV::Row "Name":"baz" "Value":"2">]
#
# ---
#
# Returns columns data as row Arrays,
# each consisting of the specified columns data for that row:
# values = table.values_at('Name')
# values # => [["foo"], ["bar"], ["baz"]]
# values = table.values_at('Value', 'Name')
# values # => [["0", "foo"], ["1", "bar"], ["2", "baz"]]
def values_at(*indices_or_headers)
if @mode == :row or # by indices
( @mode == :col_or_row and indices_or_headers.all? do |index|
index.is_a?(Integer) or
( index.is_a?(Range) and
index.first.is_a?(Integer) and
index.last.is_a?(Integer) )
end )
@table.values_at(*indices_or_headers)
else # by headers
@table.map { |row| row.values_at(*indices_or_headers) }
end
end
# :call-seq:
# table << row_or_array -> self
#
# If +row_or_array+ is a \CSV::Row object,
# it is appended to the table:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table << CSV::Row.new(table.headers, ['bat', 3])
# table[3] # => #<CSV::Row "Name":"bat" "Value":3>
#
# If +row_or_array+ is an \Array, it is used to create a new
# \CSV::Row object which is then appended to the table:
# table << ['bam', 4]
# table[4] # => #<CSV::Row "Name":"bam" "Value":4>
def <<(row_or_array)
if row_or_array.is_a? Array # append Array
@table << Row.new(headers, row_or_array)
else # append Row
@table << row_or_array
end
self # for chaining
end
#
# :call-seq:
# table.push(*rows_or_arrays) -> self
#
# A shortcut for appending multiple rows. Equivalent to:
# rows.each {|row| self << row }
#
# Each argument may be either a \CSV::Row object or an \Array:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# rows = [
# CSV::Row.new(table.headers, ['bat', 3]),
# ['bam', 4]
# ]
# table.push(*rows)
# table[3..4] # => [#<CSV::Row "Name":"bat" "Value":3>, #<CSV::Row "Name":"bam" "Value":4>]
def push(*rows)
rows.each { |row| self << row }
self # for chaining
end
# :call-seq:
# table.delete(*indexes) -> deleted_values
# table.delete(*headers) -> deleted_values
#
# If the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>,
# and each argument is either an \Integer or a \Range,
# returns deleted rows.
# Otherwise, returns deleted columns data.
#
# In either case, the returned values are in the order
# specified by the arguments. Arguments may be repeated.
#
# ---
#
# Returns rows as an \Array of \CSV::Row objects.
#
# One index:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# deleted_values = table.delete(0)
# deleted_values # => [#<CSV::Row "Name":"foo" "Value":"0">]
#
# Two indexes:
# table = CSV.parse(source, headers: true)
# deleted_values = table.delete(2, 0)
# deleted_values # => [#<CSV::Row "Name":"baz" "Value":"2">, #<CSV::Row "Name":"foo" "Value":"0">]
#
# ---
#
# Returns columns data as column Arrays.
#
# One header:
# table = CSV.parse(source, headers: true)
# deleted_values = table.delete('Name')
# deleted_values # => ["foo", "bar", "baz"]
#
# Two headers:
# table = CSV.parse(source, headers: true)
# deleted_values = table.delete('Value', 'Name')
# deleted_values # => [["0", "1", "2"], ["foo", "bar", "baz"]]
def delete(*indexes_or_headers)
if indexes_or_headers.empty?
raise ArgumentError, "wrong number of arguments (given 0, expected 1+)"
end
deleted_values = indexes_or_headers.map do |index_or_header|
if @mode == :row or # by index
(@mode == :col_or_row and index_or_header.is_a? Integer)
@table.delete_at(index_or_header)
else # by header
if index_or_header.is_a? Integer
@headers.delete_at(index_or_header)
else
@headers.delete(index_or_header)
end
@table.map { |row| row.delete(index_or_header).last }
end
end
if indexes_or_headers.size == 1
deleted_values[0]
else
deleted_values
end
end
# Removes rows or columns for which the block returns a truthy value;
# returns +self+.
#
# Removes rows when the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>;
# calls the block with each \CSV::Row object:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.by_row! # => #<CSV::Table mode:row row_count:4>
# table.size # => 3
# table.delete_if {|row| row['Name'].start_with?('b') }
# table.size # => 1
#
# Removes columns when the access mode is <tt>:col</tt>;
# calls the block with each column as a 2-element array
# containing the header and an \Array of column fields:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.by_col! # => #<CSV::Table mode:col row_count:4>
# table.headers.size # => 2
# table.delete_if {|column_data| column_data[1].include?('2') }
# table.headers.size # => 1
#
# Returns a new \Enumerator if no block is given:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.delete_if # => #<Enumerator: #<CSV::Table mode:col_or_row row_count:4>:delete_if>
def delete_if(&block)
return enum_for(__method__) { @mode == :row or @mode == :col_or_row ? size : headers.size } unless block_given?
if @mode == :row or @mode == :col_or_row # by index
@table.delete_if(&block)
else # by header
deleted = []
headers.each do |header|
deleted << delete(header) if yield([header, self[header]])
end
end
self # for chaining
end
include Enumerable
# Calls the block with each row or column; returns +self+.
#
# When the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>,
# calls the block with each \CSV::Row object:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# table.by_row! # => #<CSV::Table mode:row row_count:4>
# table.each {|row| p row }
# Output:
# #<CSV::Row "Name":"foo" "Value":"0">
# #<CSV::Row "Name":"bar" "Value":"1">
# #<CSV::Row "Name":"baz" "Value":"2">
#
# When the access mode is <tt>:col</tt>,
# calls the block with each column as a 2-element array
# containing the header and an \Array of column fields:
# table.by_col! # => #<CSV::Table mode:col row_count:4>
# table.each {|column_data| p column_data }
# Output:
# ["Name", ["foo", "bar", "baz"]]
# ["Value", ["0", "1", "2"]]
#
# Returns a new \Enumerator if no block is given:
# table.each # => #<Enumerator: #<CSV::Table mode:col row_count:4>:each>
def each(&block)
return enum_for(__method__) { @mode == :col ? headers.size : size } unless block_given?
if @mode == :col
headers.each { |header| yield([header, self[header]]) }
else
@table.each(&block)
end
self # for chaining
end
# Returns +true+ if all each row of +self+ <tt>==</tt>
# the corresponding row of +other_table+, otherwise, +false+.
#
# The access mode does no affect the result.
#
# Equal tables:
# source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
# table = CSV.parse(source, headers: true)
# other_table = CSV.parse(source, headers: true)
# table == other_table # => true
#
# Different row count:
# other_table.delete(2)
# table == other_table # => false
#
# Different last row:
# other_table << ['bat', 3]
# table == other_table # => false
def ==(other)
return @table == other.table if other.is_a? CSV::Table
@table == other
end
#
# Returns the table as an Array of Arrays. Headers will be the first row,
# then all of the field rows will follow.
#
def to_a
array = [headers]
@table.each do |row|
array.push(row.fields) unless row.header_row?
end
array
end
#
# Returns the table as a complete CSV String. Headers will be listed first,
# then all of the field rows.
#
# This method assumes you want the Table.headers(), unless you explicitly
# pass <tt>:write_headers => false</tt>.
#
def to_csv(write_headers: true, **options)
array = write_headers ? [headers.to_csv(**options)] : []
@table.each do |row|
array.push(row.fields.to_csv(**options)) unless row.header_row?
end
array.join("")
end
alias_method :to_s, :to_csv
#
# Extracts the nested value specified by the sequence of +index+ or +header+ objects by calling dig at each step,
# returning nil if any intermediate step is nil.
#
def dig(index_or_header, *index_or_headers)
value = self[index_or_header]
if value.nil?
nil
elsif index_or_headers.empty?
value
else
unless value.respond_to?(:dig)
raise TypeError, "#{value.class} does not have \#dig method"
end
value.dig(*index_or_headers)
end
end
# Shows the mode and size of this table in a US-ASCII String.
def inspect
"#<#{self.class} mode:#{@mode} row_count:#{to_a.size}>".encode("US-ASCII")
end
end
end
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