def test_get_sub_elements(self):
# Declare instance and prepare XML element with its sub-elements
instance = LexicalEntry()
element = Element("LexicalEntry")
lemma = SubElement(element, "Lemma")
SubElement(lemma, "feat", att="lexeme", val="hello")
SubElement(element, "feat", att="partOfSpeech", val="toto")
SubElement(element, "feat", att="status", val="draft")
# Test results
get_sub_elements(instance, element)
self.assertEqual(instance.get_lexeme(), "hello")
self.assertEqual(instance.get_partOfSpeech(), "toto")
self.assertEqual(instance.get_status(), "draft")
del instance, element, lemma
def test_get_sub_elements(self):
# Declare instance and prepare XML element with its sub-elements
instance = LexicalEntry()
element = Element("LexicalEntry")
lemma = SubElement(element, "Lemma")
SubElement(lemma, "feat", att="lexeme", val="hello")
SubElement(element, "feat", att="partOfSpeech", val="toto")
SubElement(element, "feat", att="status", val="draft")
# Test results
get_sub_elements(instance, element)
self.assertEqual(instance.get_lexeme(), "hello")
self.assertEqual(instance.get_partOfSpeech(), "toto")
self.assertEqual(instance.get_status(), "draft")
del instance, element, lemma
def test_mdf_write(self):
import sys, os
# Create LMF objects
lexical_entry = LexicalEntry()
lexical_entry.lemma = Lemma()
lexical_entry.partOfSpeech = "toto"
lexical_entry.status = "draft"
lexical_entry.lemma.lexeme = "hello"
lexicon = Lexicon()
lexicon.add_lexical_entry(lexical_entry)
# Write MDF file and test result
utest_path = sys.path[0] + '/'
mdf_filename = utest_path + "output.txt"
mdf_write(lexicon, mdf_filename)
mdf_file = open(mdf_filename, "r")
expected_lines = ["\\lx hello" + EOL, "\\ps toto" + EOL, "\\st draft" + EOL, EOL]
self.assertListEqual(expected_lines, mdf_file.readlines())
mdf_file.close()
# Customize mapping
lmf2mdf = dict({
"lx" : lambda lexical_entry: lexical_entry.get_status(),
"ps" : lambda lexical_entry: lexical_entry.get_partOfSpeech(),
"st" : lambda lexical_entry: lexical_entry.get_lexeme()
})
order = ["st", "lx", "ps"]
# Write MDF file and test result
mdf_write(lexicon, mdf_filename, lmf2mdf, order)
mdf_file = open(mdf_filename, "r")
expected_lines = ["\\st hello" + EOL, "\\lx draft" + EOL, "\\ps toto" + EOL, EOL]
self.assertListEqual(expected_lines, mdf_file.readlines())
mdf_file.close()
del lexical_entry.lemma
lexical_entry.lemma = None
del lexical_entry, lexicon
# Remove MDF file
os.remove(mdf_filename)
def test_tex_write(self):
import sys, os
# Create LMF objects
lexical_entry = LexicalEntry()
lexical_entry.lemma = Lemma()
lexical_entry.partOfSpeech = "toto"
lexical_entry.status = "draft"
lexical_entry.lemma.lexeme = "hello"
lexicon = Lexicon()
lexicon.add_lexical_entry(lexical_entry)
lexical_resource = LexicalResource()
lexical_resource.add_lexicon(lexicon)
# Write LaTeX file and test result
utest_path = sys.path[0] + '/'
tex_filename = utest_path + "output.tex"
tex_write(lexical_resource, tex_filename)
tex_file = open(tex_filename, "r")
begin_lines = [
EOL, "\\begin{document}" + EOL, "\\maketitle" + EOL,
"\\newpage" + EOL, EOL,
"\\def\\mytextsc{\\bgroup\\obeyspaces\\mytextscaux}" + EOL,
"\\def\\mytextscaux#1{\\mytextscauxii #1\\relax\\relax\\egroup}" +
EOL, "\\def\\mytextscauxii#1{%" + EOL,
"\\ifx\\relax#1\\else \\ifcat#1\\@sptoken{} \\expandafter\\expandafter\\expandafter\\mytextscauxii\\else"
+ EOL,
"\\ifnum`#1=\\uccode`#1 {\\normalsize #1}\\else {\\footnotesize \\uppercase{#1}}\\fi \\expandafter\\expandafter\\expandafter\\mytextscauxii\\expandafter\\fi\\fi}"
+ EOL, EOL, "\\setlength\\parindent{0cm}" + EOL, EOL,
"\\addmediapath{.}" + EOL, "\\addmediapath{./mp3}" + EOL,
"\\addmediapath{./wav}" + EOL, "\\graphicspath{{" +
os.path.abspath('.') + "/pylmflib/output/img/}}" + EOL, EOL,
"\\newpage" + EOL, "\\begin{multicols}{2}" + EOL, EOL
]
end_lines = ["\end{multicols}" + EOL, "\end{document}" + EOL]
expected_lines = [
"\\newpage" + EOL,
"\\section*{\\centering- \\textbf{\ipa{H}} \\textbf{\ipa{h}} -}" +
EOL,
#"\\pdfbookmark[1]{\ipa{ H h }}{ H h }" + EOL,
"\\paragraph{\\hspace{-0.5cm} \\textbf{\ipa{hello}}} \\hypertarget{01}{}"
+ EOL,
"\markboth{\\textbf{\\ipa{hello}}}{}" + EOL,
"\\textit{Status:} draft" + EOL,
"\lhead{\\firstmark}" + EOL,
"\\rhead{\\botmark}" + EOL,
EOL
]
self.assertListEqual(begin_lines + expected_lines + end_lines,
tex_file.readlines())
tex_file.close()
# Customize mapping
my_lmf_tex = dict({
"Lemma.lexeme":
lambda lexical_entry: "is " + lexical_entry.get_lexeme(
) + "." + EOL,
"LexicalEntry.id":
lambda lexical_entry: "The lexical entry " + str(lexical_entry.
get_id()) + " ",
"LexicalEntry.partOfSpeech":
lambda lexical_entry: "Its grammatical category is " +
lexical_entry.get_partOfSpeech() + "." + EOL,
"LexicalEntry.status":
lambda lexical_entry: "Warning: " + lexical_entry.get_status(
) + " version!" + EOL
})
my_order = [
"LexicalEntry.id", "Lemma.lexeme", "LexicalEntry.partOfSpeech",
"LexicalEntry.status"
]
def lmf2tex(entry, font):
result = ""
for attribute in my_order:
result += my_lmf_tex[attribute](entry)
return result
# Write LaTeX file and test result
tex_write(lexical_resource, tex_filename, None, None, lmf2tex, font)
tex_file = open(tex_filename, "r")
expected_lines = [
"\\newpage" + EOL,
"\\section*{\\centering- \\textbf{\ipa{H}} \\textbf{\ipa{h}} -}" +
EOL,
#"\\pdfbookmark[1]{\ipa{ H h }}{ H h }" + EOL,
"The lexical entry 01 is hello." + EOL,
"Its grammatical category is toto." + EOL,
"Warning: draft version!" + EOL,
"\lhead{\\firstmark}" + EOL,
"\\rhead{\\botmark}" + EOL,
EOL
]
self.assertListEqual(begin_lines + expected_lines + end_lines,
tex_file.readlines())
tex_file.close()
del lexical_entry.lemma
lexical_entry.lemma = None
del lexical_entry, lexicon
lexicon = None
del lexical_resource
# Remove LaTeX file
os.remove(tex_filename)
def mdf_read(filename=None,
mdf2lmf=mdf_lmf,
lexicon=None,
id=None,
encoding=ENCODING):
"""! @brief Read an MDF file.
@param filename The name of the MDF file to read with full path, for instance 'user/input.txt'.
@param mdf2lmf A Python dictionary describing the mapping between MDF markers and LMF representation. Default value is 'mdf_lmf' dictionary defined in 'pylmflib/config/mdf.py'. Please refer to it as an example.
@param lexicon An existing Lexicon to fill with lexical entries to read.
@param id A Python string identifying the lexicon to create.
@param encoding Use 'utf-8' encoding by default. Otherwise, user has to precise the native encoding of its document.
@return A Lexicon instance containing all lexical entries.
"""
import re
# If not provided, create a Lexicon instance to contain all lexical entries
if lexicon is None:
lexicon = Lexicon(id)
# Read in unicode
if filename is None:
filename = lexicon.get_entrySource()
else:
# Set lexicon attribute
lexicon.set_entrySource(filename)
# Read in unicode
mdf_file = open_read(filename, encoding=encoding)
# MDF syntax is the following: '\marker value'
mdf_pattern = """^\\\(\w*) (<(.*)>)? ?(.*)$"""
# Add each lexical entry to the lexicon
current_entry = None
sub_entry = None
component = None
main_entry = None
for line in mdf_file.readlines():
# Do not parse empty lines
if line != EOL:
result = re.match(mdf_pattern, line)
if result is None:
# Line is empty => continue parsing next line
continue
marker = result.group(1)
attrs = result.group(3)
value = result.group(4)
# Do not consider markers starting with an underscore character (e.g. '_sh' and '_DateStampHasFourDigitYear')
if marker[0] == '_':
continue
# Remove trailing spaces and end-of-line characters
value = value.rstrip(' \r\n')
# Do not consider empty fields
if value == "":
continue
# Check if the current entry is a multiword expression
is_mwe = False
if marker == "lf":
lf = value.split(" = ")
if lf[0].startswith("Component"):
component_nb = lf[0].lstrip("Component")
value = lf[1]
is_mwe = True
# 'lx' and 'se' markers indicate a new entry
if marker == "lx" or marker == "se" or is_mwe:
# Compute a unique identifier
uid = uni2sampa(value)
if marker == "se":
# Create a subentry
sub_entry = LexicalEntry(uid)
# An MDF subentry corresponds to an LMF lexical entry
mdf2lmf["lx"](value, sub_entry)
# Add it to the lexicon
lexicon.add_lexical_entry(sub_entry)
# Manage main entry
if main_entry is None:
main_entry = current_entry
else:
current_entry = main_entry
# Set main entry
homonym_nb = current_entry.get_homonymNumber()
if homonym_nb is None:
homonym_nb = ""
sub_entry.create_and_add_related_form(
current_entry.get_lexeme() + homonym_nb, "main entry")
elif is_mwe:
# Create a subentry
component = LexicalEntry(uid)
# An MDF subentry corresponds to an LMF lexical entry
mdf2lmf["lx"](value, component)
# Add it to the lexicon
lexicon.add_lexical_entry(component)
# Manage current entry
if sub_entry is not None:
current_entry = sub_entry
# Set component
homonym_nb = current_entry.get_homonymNumber()
if homonym_nb is None:
homonym_nb = ""
current_entry.create_and_add_component(component_nb, value)
component.create_and_add_related_form(
current_entry.get_lexeme() + homonym_nb,
"complex predicate")
component.set_independentWord(False)
else:
# Create a new entry
current_entry = LexicalEntry(uid)
# Add it to the lexicon
lexicon.add_lexical_entry(current_entry)
# Reset main entry
main_entry = None
# Map MDF marker and value to LMF representation
try:
if attrs is not None:
# There are attributes
attributes = {}
# Remove quotation marks from attributes if any
attrs = attrs.replace('"', '')
for attr in attrs.split(' '):
attributes.update(
{attr.split('=')[0]: attr.split('=')[1]})
# A customized marker starts with '__' characters
mdf2lmf["__" + marker](attributes, value, current_entry)
else:
mdf2lmf[marker](value, current_entry)
if sub_entry is not None:
current_entry = sub_entry
sub_entry = None
if component is not None:
sub_entry = current_entry
current_entry = component
component = None
except KeyError:
# When printing, we need to convert 'unicode' into 'str' using 'utf-8' encoding:
print Warning(
"MDF marker '%s' encountered for lexeme '%s' is not defined in configuration"
% (marker.encode(ENCODING),
current_entry.get_lexeme().encode(ENCODING)))
except Error as exception:
exception.handle()
mdf_file.close()
return lexicon
def test_tex_write(self):
import sys, os
# Create LMF objects
lexical_entry = LexicalEntry()
lexical_entry.lemma = Lemma()
lexical_entry.partOfSpeech = "toto"
lexical_entry.status = "draft"
lexical_entry.lemma.lexeme = "hello"
lexicon = Lexicon()
lexicon.add_lexical_entry(lexical_entry)
lexical_resource = LexicalResource()
lexical_resource.add_lexicon(lexicon)
# Write LaTeX file and test result
utest_path = sys.path[0] + '/'
tex_filename = utest_path + "output.tex"
tex_write(lexical_resource, tex_filename)
tex_file = open(tex_filename, "r")
begin_lines = [EOL,
"\\begin{document}" + EOL,
"\\maketitle" + EOL,
"\\newpage" + EOL,
EOL,
"\\def\\mytextsc{\\bgroup\\obeyspaces\\mytextscaux}" + EOL,
"\\def\\mytextscaux#1{\\mytextscauxii #1\\relax\\relax\\egroup}" + EOL,
"\\def\\mytextscauxii#1{%" + EOL,
"\\ifx\\relax#1\\else \\ifcat#1\\@sptoken{} \\expandafter\\expandafter\\expandafter\\mytextscauxii\\else" + EOL,
"\\ifnum`#1=\\uccode`#1 {\\normalsize #1}\\else {\\footnotesize \\uppercase{#1}}\\fi \\expandafter\\expandafter\\expandafter\\mytextscauxii\\expandafter\\fi\\fi}" + EOL,
EOL,
"\\setlength\\parindent{0cm}" + EOL,
EOL,
"\\addmediapath{.}" + EOL,
"\\addmediapath{./mp3}" + EOL,
"\\addmediapath{./wav}" + EOL,
"\\graphicspath{{" + os.path.abspath('.') + "/pylmflib/output/img/}}" + EOL,
EOL,
"\\newpage" + EOL,
"\\begin{multicols}{2}" + EOL,
EOL
]
end_lines = [
"\end{multicols}" + EOL,
"\end{document}" + EOL
]
expected_lines = [
"\\newpage" + EOL,
"\\section*{\\centering- \\textbf{\ipa{H}} \\textbf{\ipa{h}} -}" + EOL,
#"\\pdfbookmark[1]{\ipa{ H h }}{ H h }" + EOL,
"\\paragraph{\\hspace{-0.5cm} \\textbf{\ipa{hello}}} \\hypertarget{01}{}" + EOL,
"\markboth{\\textbf{\\ipa{hello}}}{}" + EOL,
"\\textit{Status:} draft" + EOL,
"\lhead{\\firstmark}" + EOL,
"\\rhead{\\botmark}" + EOL,
EOL
]
self.assertListEqual(begin_lines + expected_lines + end_lines, tex_file.readlines())
tex_file.close()
# Customize mapping
my_lmf_tex = dict({
"Lemma.lexeme" : lambda lexical_entry: "is " + lexical_entry.get_lexeme() + "." + EOL,
"LexicalEntry.id" : lambda lexical_entry: "The lexical entry " + str(lexical_entry.get_id()) + " ",
"LexicalEntry.partOfSpeech" : lambda lexical_entry: "Its grammatical category is " + lexical_entry.get_partOfSpeech() + "." + EOL,
"LexicalEntry.status" : lambda lexical_entry: "Warning: " + lexical_entry.get_status() + " version!" + EOL
})
my_order = ["LexicalEntry.id", "Lemma.lexeme", "LexicalEntry.partOfSpeech", "LexicalEntry.status"]
def lmf2tex(entry, font):
result = ""
for attribute in my_order:
result += my_lmf_tex[attribute](entry)
return result
# Write LaTeX file and test result
tex_write(lexical_resource, tex_filename, None, None, lmf2tex, font)
tex_file = open(tex_filename, "r")
expected_lines = [
"\\newpage" + EOL,
"\\section*{\\centering- \\textbf{\ipa{H}} \\textbf{\ipa{h}} -}" + EOL,
#"\\pdfbookmark[1]{\ipa{ H h }}{ H h }" + EOL,
"The lexical entry 01 is hello." + EOL,
"Its grammatical category is toto." + EOL,
"Warning: draft version!" + EOL,
"\lhead{\\firstmark}" + EOL,
"\\rhead{\\botmark}" + EOL,
EOL
]
self.assertListEqual(begin_lines + expected_lines + end_lines, tex_file.readlines())
tex_file.close()
del lexical_entry.lemma
lexical_entry.lemma = None
del lexical_entry, lexicon
lexicon = None
del lexical_resource
# Remove LaTeX file
os.remove(tex_filename)
def mdf_read(filename=None, mdf2lmf=mdf_lmf, lexicon=None, id=None, encoding=ENCODING):
"""! @brief Read an MDF file.
@param filename The name of the MDF file to read with full path, for instance 'user/input.txt'.
@param mdf2lmf A Python dictionary describing the mapping between MDF markers and LMF representation. Default value is 'mdf_lmf' dictionary defined in 'pylmflib/config/mdf.py'. Please refer to it as an example.
@param lexicon An existing Lexicon to fill with lexical entries to read.
@param id A Python string identifying the lexicon to create.
@param encoding Use 'utf-8' encoding by default. Otherwise, user has to precise the native encoding of its document.
@return A Lexicon instance containing all lexical entries.
"""
import re
# If not provided, create a Lexicon instance to contain all lexical entries
if lexicon is None:
lexicon = Lexicon(id)
# Read in unicode
if filename is None:
filename = lexicon.get_entrySource()
else:
# Set lexicon attribute
lexicon.set_entrySource(filename)
# Read in unicode
mdf_file = open_read(filename, encoding=encoding)
# MDF syntax is the following: '\marker value'
mdf_pattern = """^\\\(\w*) (<(.*)>)? ?(.*)$"""
# Add each lexical entry to the lexicon
current_entry = None
sub_entry = None
component = None
main_entry = None
for line in mdf_file.readlines():
# Do not parse empty lines
if line != EOL:
result = re.match(mdf_pattern, line)
if result is None:
# Line is empty => continue parsing next line
continue
marker = result.group(1)
attrs = result.group(3)
value = result.group(4)
# Do not consider markers starting with an underscore character (e.g. '_sh' and '_DateStampHasFourDigitYear')
if marker[0] == '_':
continue
# Remove trailing spaces and end-of-line characters
value = value.rstrip(' \r\n')
# Do not consider empty fields
if value == "":
continue
# Check if the current entry is a multiword expression
is_mwe = False
if marker == "lf":
lf = value.split(" = ")
if lf[0].startswith("Component"):
component_nb = lf[0].lstrip("Component")
value = lf[1]
is_mwe = True
# 'lx' and 'se' markers indicate a new entry
if marker == "lx" or marker == "se" or is_mwe:
# Compute a unique identifier
uid = uni2sampa(value)
if marker == "se":
# Create a subentry
sub_entry = LexicalEntry(uid)
# An MDF subentry corresponds to an LMF lexical entry
mdf2lmf["lx"](value, sub_entry)
# Add it to the lexicon
lexicon.add_lexical_entry(sub_entry)
# Manage main entry
if main_entry is None:
main_entry = current_entry
else:
current_entry = main_entry
# Set main entry
homonym_nb = current_entry.get_homonymNumber()
if homonym_nb is None:
homonym_nb = ""
sub_entry.create_and_add_related_form(current_entry.get_lexeme() + homonym_nb, "main entry")
elif is_mwe:
# Create a subentry
component = LexicalEntry(uid)
# An MDF subentry corresponds to an LMF lexical entry
mdf2lmf["lx"](value, component)
# Add it to the lexicon
lexicon.add_lexical_entry(component)
# Manage current entry
if sub_entry is not None:
current_entry = sub_entry
# Set component
homonym_nb = current_entry.get_homonymNumber()
if homonym_nb is None:
homonym_nb = ""
current_entry.create_and_add_component(component_nb, value)
component.create_and_add_related_form(current_entry.get_lexeme() + homonym_nb, "complex predicate")
component.set_independentWord(False)
else:
# Create a new entry
current_entry = LexicalEntry(uid)
# Add it to the lexicon
lexicon.add_lexical_entry(current_entry)
# Reset main entry
main_entry = None
# Map MDF marker and value to LMF representation
try:
if attrs is not None:
# There are attributes
attributes = {}
# Remove quotation marks from attributes if any
attrs = attrs.replace('"', '')
for attr in attrs.split(' '):
attributes.update({attr.split('=')[0] : attr.split('=')[1]})
# A customized marker starts with '__' characters
mdf2lmf["__" + marker](attributes, value, current_entry)
else:
mdf2lmf[marker](value, current_entry)
if sub_entry is not None:
current_entry = sub_entry
sub_entry = None
if component is not None:
sub_entry = current_entry
current_entry = component
component = None
except KeyError:
# When printing, we need to convert 'unicode' into 'str' using 'utf-8' encoding:
print Warning("MDF marker '%s' encountered for lexeme '%s' is not defined in configuration" % (marker.encode(ENCODING), current_entry.get_lexeme().encode(ENCODING)))
except Error as exception:
exception.handle()
mdf_file.close()
return lexicon
