/usr/lib/python2.7/dist-packages/openpyxl/worksheet/read_only.py is in python-openpyxl 2.3.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# Copyright (c) 2010-2015 openpyxl
""" Iterators-based worksheet reader
*Still very raw*
"""
# compatibility
from openpyxl.compat import range
# package
from openpyxl.xml.functions import iterparse
from openpyxl.xml.functions import safe_iterator
from openpyxl.xml.constants import SHEET_MAIN_NS
from openpyxl.worksheet import Worksheet
from openpyxl.utils import (
ABSOLUTE_RE,
column_index_from_string,
get_column_letter,
coordinate_to_tuple,
)
from openpyxl.cell.read_only import ReadOnlyCell, EMPTY_CELL
def read_dimension(source):
if hasattr(source, "encode"):
return
min_row = min_col = max_row = max_col = None
DIMENSION_TAG = '{%s}dimension' % SHEET_MAIN_NS
DATA_TAG = '{%s}sheetData' % SHEET_MAIN_NS
it = iterparse(source, tag=[DIMENSION_TAG, DATA_TAG])
for _event, element in it:
if element.tag == DIMENSION_TAG:
dim = element.get("ref")
m = ABSOLUTE_RE.match(dim.upper())
if m is None:
return
min_col, min_row, sep, max_col, max_row = m.groups()
min_row = int(min_row)
if max_col is None or max_row is None:
max_col = min_col
max_row = min_row
else:
max_row = int(max_row)
return (
column_index_from_string(min_col),
min_row,
column_index_from_string(max_col),
max_row
)
elif element.tag == DATA_TAG:
# Dimensions missing
break
element.clear()
ROW_TAG = '{%s}row' % SHEET_MAIN_NS
CELL_TAG = '{%s}c' % SHEET_MAIN_NS
VALUE_TAG = '{%s}v' % SHEET_MAIN_NS
FORMULA_TAG = '{%s}f' % SHEET_MAIN_NS
DIMENSION_TAG = '{%s}dimension' % SHEET_MAIN_NS
CELL_TAGS = (CELL_TAG, VALUE_TAG, FORMULA_TAG)
class ReadOnlyWorksheet(Worksheet):
_xml = None
_min_column = 1
_min_row = 1
_max_column = _max_row = None
def __init__(self, parent_workbook, title, worksheet_path,
xml_source, shared_strings):
Worksheet.__init__(self, parent_workbook, title)
self.worksheet_path = worksheet_path
self.shared_strings = shared_strings
self.base_date = parent_workbook.excel_base_date
self.xml_source = xml_source
dimensions = read_dimension(self.xml_source)
if dimensions is not None:
self.min_column, self.min_row, self.max_column, self.max_row = dimensions
@property
def xml_source(self):
"""Parse xml source on demand, default to Excel archive"""
if self._xml is None:
return self.parent._archive.open(self.worksheet_path)
return self._xml
@xml_source.setter
def xml_source(self, value):
self._xml = value
def get_squared_range(self, min_col, min_row, max_col, max_row):
"""
The source worksheet file may have columns or rows missing.
Missing cells will be created.
"""
if max_col is not None:
empty_row = tuple(EMPTY_CELL for column in range(min_col, max_col + 1))
else:
empty_row = []
row_counter = min_row
p = iterparse(self.xml_source, tag=[ROW_TAG], remove_blank_text=True)
for _event, element in p:
if element.tag == ROW_TAG:
row_id = int(element.get("r"))
# got all the rows we need
if max_row is not None and row_id > max_row:
break
# some rows are missing
for row_counter in range(row_counter, row_id):
row_counter += 1
yield empty_row
# return cells from a row
if min_row <= row_id:
yield tuple(self._get_row(element, min_col, max_col))
row_counter += 1
if element.tag in CELL_TAGS:
# sub-elements of rows should be skipped as handled within a cell
continue
element.clear()
def _get_row(self, element, min_col=1, max_col=None):
"""Return cells from a particular row"""
col_counter = min_col
data_only = getattr(self.parent, 'data_only', False)
for cell in safe_iterator(element, CELL_TAG):
coordinate = cell.get('r')
row, column = coordinate_to_tuple(coordinate)
if max_col is not None and column > max_col:
break
if min_col <= column:
if col_counter < column:
for col_counter in range(max(col_counter, min_col), column):
# pad row with missing cells
yield EMPTY_CELL
data_type = cell.get('t', 'n')
style_id = int(cell.get('s', 0))
value = None
formula = cell.findtext(FORMULA_TAG)
if formula is not None and not data_only:
data_type = 'f'
value = "=%s" % formula
else:
value = cell.findtext(VALUE_TAG) or None
yield ReadOnlyCell(self, row, column,
value, data_type, style_id)
col_counter = column + 1
if max_col is not None:
for _ in range(col_counter, max_col+1):
yield EMPTY_CELL
def _get_cell(self, row, column):
"""Cells are returned by a generator which can be empty"""
cell = tuple(self.get_squared_range(column, row, column, row))[0]
if cell:
return cell[0]
return EMPTY_CELL
@property
def rows(self):
return self.iter_rows()
@property
def columns(self):
if self.max_column is None:
self.calculate_dimension()
return super(IterableWorksheet, self).columns
def calculate_dimension(self, force=False):
if not all([self.max_column, self.max_row]):
if force:
self._calculate_dimension()
else:
raise ValueError("Worksheet is unsized, use calculate_dimension(force=True)")
return '%s%d:%s%d' % (
get_column_letter(self.min_column), self.min_row,
get_column_letter(self.max_column), self.max_row
)
def _calculate_dimension(self):
"""
Loop through all the cells to get the size of a worksheet.
Do this only if it is explicitly requested.
"""
max_col = 0
for r in self.rows:
cell = r[-1]
max_col = max(max_col, cell.column)
self.max_row = cell.row
self.max_column = max_col
@property
def min_row(self):
return self._min_row
@min_row.setter
def min_row(self, value):
self._min_row = value
@property
def max_row(self):
return self._max_row
@max_row.setter
def max_row(self, value):
self._max_row = value
@property
def min_column(self):
return self._min_column
@min_column.setter
def min_column(self, value):
self._min_column = value
@property
def max_column(self):
return self._max_column
@max_column.setter
def max_column(self, value):
self._max_column = value
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