parameter_file.py

from os import sep


PY_VERSION =  "3" # python version being used 

#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#     PARAMETERS FOR clean_bnc_xml.py
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

outfyes= # .txt #type=str, help=CREATED: path for creating written sentences per line file from BNC with punctuation # example: "../processed_data/written_sentence_per_line_with_punctuations.txt
outfno=  # .txt #type=str, help=CREATED: path for creating written sentences per line file from BNC without punctuation
outf=  # .txt #type=str,help=CREATED: path for creating tagged written sentences
bnc_root= #type=str, help=INPUT: path to the directory with the BNC text files

#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#     PARAMETERS FOR add_null.py
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

og_file =  outf #f"BNC_XML_2007{sep}sst_c5" #type=str, help=INPUT: location of the POS-tagged corpus file, A .txt file with two columns, one for a word and the other for the POS-tag
an_in_file= #type=str, help =CREATED: location of the POS-tagged corpus .txt file stored as sentence per line, each line contains sequences of tuples that form a sentence, the tuples contain a word and POS-tag
an_out_file= #type=str, help=CREATED: location of the output file. A .txt file with two columns, one for a word and the other for the POS-tag (with null article tags)
an_ta = # type=str, help=CREATED: location of a file that includes all the sampled sentences, one per line.
an_sl = #type=list, help=CREATED: location of .pkl file that stores the list of source IDs.


sa=   #action='store_true', help=Sample random sentences from the in_file
con=   #action='store_true', help=Sample random sentences from the in_file as well as r sentence before and l sentences after
so=    #action='store_true', help= Give the source ID of this sentence - note that this requires a an og_file with soruce ids

se=  #type=int, default=10, help=a random seed - NOT IMPLEMENTED YET
n=  #type=int, default=500, help=number of sentences to sample (requires sample flag to be set)
c=   #type=int, default=-1, help=number of sentences before and after the sampled sentence to include
b=    #type=int, default=3, help=number of sentences before a sampled sentence to include
a=    #type=int, default=3, help=number of sentences after a sampled sentence to include


#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#     PARAMETERS FOR create_excel.py
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

ce_in_file =  #type=str, help = CREATED: location of the POS-tagged corpus .txt file stored as sentence per line, each line contains sequences of tuples that form a sentence, the tuples contain a word and POS-tag
ce_out_file =  #type =sen, help='CREATED: location of the output file. A .xlsx file with rows for each sentence, rows where the sentence is a context sentence will have multiple sentences in the "sentence" column'
ce_ta = an_ta #type=str, help= INPUT: location of a file that includes all the sampled sentences, one per line.
ce_sl = an_sl #type =str, help=INPUT: location of the .pkl that stores the list of source IDs