[MOV] base_import: module directory organization

Note: move test models file in models to not import tests
directory, which breaks the mute_logger of test cases

1 files changed, 0 insertions, 98 deletions

diff --git a/addons/base_import/odf_ods_reader.py b/addons/base_import/odf_ods_reader.py
deleted file mode 100644
index 0f0142f3f04..00000000000
--- a/addons/base_import/odf_ods_reader.py
+++ /dev/null
@@ -1,98 +0,0 @@
-# Copyright 2011 Marco Conti
-
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# sourced from https://github.com/marcoconti83/read-ods-with-odfpy
-# further altered locally
-
-from odf import opendocument
-from odf.table import Table, TableRow, TableCell
-from odf.text import P
-
-
-class ODSReader(object):
-
-    # loads the file
-    def __init__(self, file=None, content=None, clonespannedcolumns=None):
-        if not content:
-            self.clonespannedcolumns = clonespannedcolumns
-            self.doc = opendocument.load(file)
-        else:
-            self.clonespannedcolumns = clonespannedcolumns
-            self.doc = content
-        self.SHEETS = {}
-        for sheet in self.doc.spreadsheet.getElementsByType(Table):
-            self.readSheet(sheet)
-
-    # reads a sheet in the sheet dictionary, storing each sheet as an
-    # array (rows) of arrays (columns)
-    def readSheet(self, sheet):
-        name = sheet.getAttribute("name")
-        rows = sheet.getElementsByType(TableRow)
-        arrRows = []
-
-        # for each row
-        for row in rows:
-            arrCells = []
-            cells = row.getElementsByType(TableCell)
-
-            # for each cell
-            for count, cell in enumerate(cells, start=1):
-                # repeated value?
-                repeat = 0
-                if count != len(cells):
-                    repeat = cell.getAttribute("numbercolumnsrepeated")
-                if not repeat:
-                    repeat = 1
-                    spanned = int(cell.getAttribute('numbercolumnsspanned') or 0)
-                    # clone spanned cells
-                    if self.clonespannedcolumns is not None and spanned > 1:
-                        repeat = spanned
-
-                ps = cell.getElementsByType(P)
-                textContent = u""
-
-                # for each text/text:span node
-                for p in ps:
-                    for n in p.childNodes:
-                        if n.nodeType == 1 and n.tagName == "text:span":
-                            for c in n.childNodes:
-                                if c.nodeType == 3:
-                                    textContent = u'{}{}'.format(textContent, n.data)
-
-                        if n.nodeType == 3:
-                            textContent = u'{}{}'.format(textContent, n.data)
-
-                if textContent:
-                    if not textContent.startswith("#"):  # ignore comments cells
-                        for rr in range(int(repeat)):  # repeated?
-                            arrCells.append(textContent)
-                else:
-                    for rr in range(int(repeat)):
-                        arrCells.append("")
-
-            # if row contained something
-            if arrCells:
-                arrRows.append(arrCells)
-
-            #else:
-            #    print ("Empty or commented row (", row_comment, ")")
-
-        self.SHEETS[name] = arrRows
-
-    # returns a sheet as an array (rows) of arrays (columns)
-    def getSheet(self, name):
-        return self.SHEETS[name]
-
-    def getFirstSheet(self):
-        return next(iter(self.SHEETS.itervalues()))