Redmine #1835: turned pipeline2 scripts into modules
This commit is contained in:
parent
5395d8def0
commit
f5d4a009ea
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@ -1,5 +1,6 @@
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import os
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import lxml.etree as lxml
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from flask import Flask, Response
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@ -23,21 +24,21 @@ def test(string):
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string_file.write(string + '\n')
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try:
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pipeline = Pipeline(nlp)
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pipeline.import_file(string_file_name, 'strings-list')
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pipeline.do_tokenise()
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pipeline.do_tweak_conllu()
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pipeline.do_parse()
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pipeline.do_translate_jos()
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pipeline.do_conllu_to_tei()
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pipeline.export_file(parse_file_name, 'tei-initial')
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pipeline.cleanup()
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# pipeline = Pipeline(nlp)
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# pipeline.import_file(string_file_name, 'strings-list')
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# pipeline.do_tokenise()
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# pipeline.do_tweak_conllu()
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# pipeline.do_parse()
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# pipeline.do_translate_jos()
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# pipeline.do_conllu_to_tei()
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# pipeline.export_file(parse_file_name, 'tei-initial')
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# pipeline.cleanup()
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import sys
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sys.path.insert(0, resource_directory)
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print(sys.path)
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import wani
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tei = lxml.parse(parse_file_name).getroot()
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message = lxml.tostring(tei, encoding='UTF-8', pretty_print=True).decode()
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ok = True
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except Exception as e:
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message = str(e)
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ok = False
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results = {'ok':ok, 'message':message}
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message = lxml.tostring('<error>' + str(e) + '</error>').decode()
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return Response(message, mimetype='text/xml')
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@ -1,11 +1,7 @@
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# scripts
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TEI_SPLIT_SCRIPT_NAME = 'split_tei.py'
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MWE_EXTRACTION_SCRIPT_NAME = 'wani.py'
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STRUCTURE_SINGLE_ASSIGNMENT_SCRIPT_NAME = 'assign_single_structures.py'
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STRUCTURE_ASSIGNMENT_SCRIPT_NAME = 'assign_structures.py'
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STRUCTURE_CREATION_SCRIPT_NAME = 'create_structures.py'
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STRUCTURE_CREATION_SCRIPT_NAME = 'create_structures.py'
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TEI_DICTIONARY_SCRIPT_NAME = 'tei_to_dictionary.py'
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DICTIONARY_MERGE_SCRIPT_NAME = 'merge_dictionaries.py'
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# resources
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@ -27,7 +23,7 @@ FILE_MAP = {'strings-list': 'strings.txt',
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'tei-multiple-ids-2': 'tei_multiple_with_ids2.xml',
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'mwes-1': 'mwes1.csv',
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'mwes-2': 'mwes2.csv',
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'structures-old': 'structures_old.xml',
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'structures-old': 'structures.xml',
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'structures-new': 'structures_new.xml',
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'dictionary-single': 'dictionary_single.xml',
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'dictionary-multiple': 'dictionary_multiple.xml',
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27
package/structure_assignment/merge_dictionaries.py
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27
package/structure_assignment/merge_dictionaries.py
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import argparse
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import re
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import lxml.etree as lxml
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def get_entries(input_file_name):
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return list(lxml.parse(input_file_name).getroot())
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def merge(single_file_name, multiple_file_name, output_file_name):
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entries = get_entries(single_file_name) + get_entries(multiple_file_name)
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entries.sort(key=lambda entry: int(re.search('^s(\d+)\.\d+$', entry.get('sid')).group(1)))
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root = lxml.Element('dictionary')
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for entry in entries:
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del entry.attrib['sid']
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root.append(entry)
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tree = lxml.ElementTree(root)
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tree.write(output_file_name, encoding='UTF-8', pretty_print=True)
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if (__name__ == '__main__'):
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arg_parser = argparse.ArgumentParser(description='Split input TEI into single and multiple token units.')
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arg_parser.add_argument('-single', type=str, required=True, help='Input single token dictionary')
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arg_parser.add_argument('-multiple', type=str, required=True, help='Input multiple token dictionary')
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arg_parser.add_argument('-outfile', type=str, required=True, help='Output merged dictionary')
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arguments = arg_parser.parse_args()
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merge(arguments.single, arguments.multiple, arguments.outfile)
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@ -1,19 +1,24 @@
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import codecs
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import shutil
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import os
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import shutil
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import tempfile
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from copy import deepcopy
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from types import SimpleNamespace
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import obeliks
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import classla
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from classla import Document
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from classla.models.common.conll import CoNLLFile
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#from classla.models.common.conll import CoNLLFile
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from structure_assignment.constants import *
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from structure_assignment.tweak_conllu import tweak as tweak_conllu
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from nova_slovnica.translate_jos import translate as translate_jos
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from nova_slovnica.conllu_to_xml import convert_file as conllu_to_tei
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from structure_assignment.split_tei import split as split_tei
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from nova_slovnica.assign_single_structures import assign as assign_single
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from nova_slovnica.assign_structures import assign as assign_multiple
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from nova_slovnica.tei_to_dictionary import convert as tei_to_dictionary
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from nova_slovnica.create_structures import create as create_structures
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from structure_assignment.merge_dictionaries import merge as merge_dictionaries
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def create_nlp(resource_directory):
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NLP_CONFIG_MAP['dir'] = resource_directory + '/classla'
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@ -21,9 +26,15 @@ def create_nlp(resource_directory):
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class Pipeline:
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def __init__(self, nlp):
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def __init__(self, nlp, resource_directory):
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self.nlp = nlp
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self.tmp_directory = tempfile.mkdtemp()
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resource_file_names = [resource_directory + '/' + f for f in os.listdir(resource_directory)]
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for resource_file_name in resource_file_names:
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if (os.path.isfile(resource_file_name)):
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shutil.copy(resource_file_name, self.tmp_directory)
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import sys
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sys.path.insert(0, self.tmp_directory)
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self.file_map = {key: self.tmp_directory + '/' + FILE_MAP[key] for key in FILE_MAP.keys()}
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def import_file(self, file_name, file_key):
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@ -50,7 +61,7 @@ class Pipeline:
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def do_translate_jos(self):
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input_file_name = self.file_map['classla-parsed']
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dictionary_file_name = resource_directory + '/dict.xml'
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dictionary_file_name = self.file_map['dict']
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output_file_name = self.file_map['classla-translated']
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translate_jos(input_file_name, dictionary_file_name, output_file_name)
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@ -59,6 +70,88 @@ class Pipeline:
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output_file_name = self.file_map['tei-initial']
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conllu_to_tei(input_file_name, output_file_name)
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def do_split_tei(self):
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input_file_name = self.file_map['tei-initial']
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output_single_file_name = self.file_map['tei-single']
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output_multiple_file_name = self.file_map['tei-multiple']
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split_tei(input_file_name, output_single_file_name, output_multiple_file_name)
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def do_assign_single(self):
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input_file_name = self.file_map['tei-single']
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structure_file_name = self.file_map['structures-old']
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output_file_name = self.file_map['tei-single-ids']
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assign_single(input_file_name, structure_file_name, output_file_name)
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def do_tei_to_dictionary_single(self):
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input_file_name = self.file_map['tei-single-ids']
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output_file_name = self.file_map['dictionary-single']
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tei_to_dictionary(input_file_name, output_file_name)
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def do_tei_to_dictionary_multiple(self):
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input_file_name = self.file_map['tei-multiple-ids-2']
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output_file_name = self.file_map['dictionary-multiple']
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tei_to_dictionary(input_file_name, output_file_name)
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def do_find_structure_units_first(self):
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self._do_find_structure_units(self.file_map['structures-old'], self.file_map['tei-multiple'], self.file_map['mwes-1'])
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def do_find_structure_units_second(self):
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self._do_find_structure_units(self.file_map['structures-new'], self.file_map['tei-multiple'], self.file_map['mwes-2'])
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def _do_find_structure_units(self, structure_file_name, tei_file_name, csv_file_name):
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from wani import main as wani_main
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namespace = SimpleNamespace()
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# relevant values
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namespace.structures = structure_file_name
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namespace.input = [tei_file_name]
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namespace.all = csv_file_name
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namespace.skip_id_check = True
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namespace.fixed_restriction_order = True
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namespace.new_tei = True
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# default values
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namespace.sloleks_db = None
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namespace.out = None
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namespace.out_no_stat = None
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namespace.stats = None
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namespace.no_msd_translate = False
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namespace.min_freq = 0
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namespace.verbose = 'info'
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namespace.count_files = False
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namespace.multiple_output = False
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namespace.load_sloleks = False
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namespace.sort_by = -1
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namespace.sort_reversed = False
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namespace.db = None
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namespace.collocation_sentence_map_dest = None
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namespace.new_db = False
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namespace.pc_tag = 'pc'
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namespace.separator = '\t'
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namespace.ignore_punctuations = False
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wani_main(namespace)
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def do_assign_multiple_first(self):
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assign_multiple(self.file_map['tei-multiple'], self.file_map['mwes-1'], self.file_map['tei-multiple-ids-1'])
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def do_assign_multiple_second(self):
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assign_multiple(self.file_map['tei-multiple'], self.file_map['mwes-2'], self.file_map['tei-multiple-ids-2'])
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def do_create_structures(self):
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input_file_name = self.file_map['structures-old']
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tei_file_name = self.file_map['tei-multiple-ids-1']
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output_file_name = self.file_map['structures-new']
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create_structures(input_file_name, tei_file_name, output_file_name)
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def do_merge_dictionaries(self):
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single_file_name = self.file_map['dictionary-single']
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multiple_file_name = self.file_map['dictionary-multiple']
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output_file_name = self.file_map['dictionary']
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merge_dictionaries(single_file_name, multiple_file_name, output_file_name)
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def export_file(self, file_name, file_key):
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shutil.copyfile(self.file_map[file_key], file_name)
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38
package/structure_assignment/split_tei.py
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38
package/structure_assignment/split_tei.py
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import argparse
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import lxml.etree as lxml
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def xpath_find(element,expression):
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return element.xpath(expression, namespaces={'tei':'http://www.tei-c.org/ns/1.0'})
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def count_tokens(paragraph):
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return len(xpath_find(paragraph, './/tei:w|.//tei:pc'))
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def split(input_file_name, single_file_name, multiple_file_name):
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tree = lxml.parse(input_file_name)
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root = tree.getroot()
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paragraphs = xpath_find(root, './/tei:p')
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for paragraph in paragraphs:
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if (count_tokens(paragraph) > 1):
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paragraph.getparent().remove(paragraph)
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tree.write(single_file_name, encoding='UTF-8', pretty_print=True)
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tree = lxml.parse(input_file_name)
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root = tree.getroot()
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paragraphs = xpath_find(root, './/tei:p')
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for paragraph in paragraphs:
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if (count_tokens(paragraph) == 1):
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paragraph.getparent().remove(paragraph)
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tree.write(multiple_file_name, encoding='UTF-8', pretty_print=True)
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if (__name__ == '__main__'):
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arg_parser = argparse.ArgumentParser(description='Split input TEI into single and multiple token units.')
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arg_parser.add_argument('-infile', type=str, required=True, help='Input TEI file')
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arg_parser.add_argument('-single', type=str, required=True, help='Output single token TEI file')
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arg_parser.add_argument('-multiple', type=str, required=True, help='Output multiple token TEI file')
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arguments = arg_parser.parse_args()
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split(arguments.infile, arguments.single, arguments.multiple)
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@ -1,25 +0,0 @@
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import argparse
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import re
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import lxml.etree as lxml
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arg_parser = argparse.ArgumentParser(description='Split input TEI into single and multiple token units.')
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arg_parser.add_argument('-single', type=str, required=True, help='Input single token dictionary')
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arg_parser.add_argument('-multiple', type=str, required=True, help='Input multiple token dictionary')
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arg_parser.add_argument('-outfile', type=str, required=True, help='Output merged dictionary')
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arguments = arg_parser.parse_args()
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single_file_name = arguments.single
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multiple_file_name = arguments.multiple
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output_file_name = arguments.outfile
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def get_entries(input_file_name):
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return list(lxml.parse(input_file_name).getroot())
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entries = get_entries(single_file_name) + get_entries(multiple_file_name)
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entries.sort(key=lambda entry: int(re.search('^s(\d+)\.\d+$', entry.get('sid')).group(1)))
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root = lxml.Element('dictionary')
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for entry in entries:
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del entry.attrib['sid']
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root.append(entry)
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tree = lxml.ElementTree(root)
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tree.write(output_file_name, encoding='UTF-8', pretty_print=True)
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@ -1,34 +0,0 @@
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import argparse
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import lxml.etree as lxml
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arg_parser = argparse.ArgumentParser(description='Split input TEI into single and multiple token units.')
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arg_parser.add_argument('-infile', type=str, required=True, help='Input TEI file')
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arg_parser.add_argument('-single', type=str, required=True, help='Output single token TEI file')
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arg_parser.add_argument('-multiple', type=str, required=True, help='Output multiple token TEI file')
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arguments = arg_parser.parse_args()
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input_file_name = arguments.infile
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single_file_name = arguments.single
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multiple_file_name = arguments.multiple
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TEI_NAMESPACE = 'http://www.tei-c.org/ns/1.0'
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def xpath_find(element,expression):
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return element.xpath(expression, namespaces={'tei':TEI_NAMESPACE})
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def count_tokens(paragraph):
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return len(xpath_find(paragraph, './/tei:w|.//tei:pc'))
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tree = lxml.parse(input_file_name)
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root = tree.getroot()
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paragraphs = xpath_find(root, './/tei:p')
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for paragraph in paragraphs:
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if (count_tokens(paragraph) > 1):
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paragraph.getparent().remove(paragraph)
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tree.write(single_file_name, encoding='UTF-8', pretty_print=True)
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tree = lxml.parse(input_file_name)
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root = tree.getroot()
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paragraphs = xpath_find(root, './/tei:p')
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for paragraph in paragraphs:
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if (count_tokens(paragraph) == 1):
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paragraph.getparent().remove(paragraph)
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tree.write(multiple_file_name, encoding='UTF-8', pretty_print=True)
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