Plugin no longer works on Calibre 2.40 (Windows 7).
Here is the Calibre Debug Log:
Spoiler:
Code:
calibre Debug log
calibre 2.40 isfrozen: True is64bit: False
Windows-7-6.1.7601-SP1 Windows ('32bit', 'WindowsPE')
32bit process running on 64bit windows
('Windows', '7', '6.1.7601')
Python 2.7.9
Windows: ('7', '6.1.7601', 'SP1', 'Multiprocessor Free')
Successfully initialized third party plugins: DeDRM && EpubMerge && Overdrive Link && SmartEject && English Noun Frequency && Count Pages
Starting up...
macmenuhack file_path:C:\Users\XXXXX\AppData\Roaming\calibre\plugins\fanficfare_macmenuhack.txt
Started up in 8.43 seconds with 411 books
windows_user_name XXXXX
Clearing or initializing globals
ENF Control
Loading user custom word rules for use
Building custom column list
Current book id is: 442 ______________________________________________________________________________________
Determing ENF for a single book
Building book path
Loading book file: C:/Users/XXXXX/Documents/Calibre Library/Marci McDonald/The Armageddon Factor (442)/The Armageddon Factor - Marci McDonald.epub
Loading epub file: C:/Users/XXXXX/Documents/Calibre Library/Marci McDonald/The Armageddon Factor (442)/The Armageddon Factor - Marci McDonald.epub
Extracting epub text: C:/Users/XXXXX/Documents/Calibre Library/Marci McDonald/The Armageddon Factor (442)/The Armageddon Factor - Marci McDonald.epub
Filtering text
Length of the input, file_data: 0
Length of text_data prior to re.sub's : 0
Length of text_data after re.sub's : 0
Length of text_data after fancy apostrophes & quotation marks replacement to a simple single quote: 0
Length of text_data after contraction filtering : 0
Length of text_data after apostrophes and quotes are replaced : 0
Length of text_data after html was stripped : 0
Length of text_data after symbols are stripped: 0
Length of text_data after failed contractions are stripped: 0
Length of text_data after contiguous spaces have been reduced to three (3) before and after each remaining word: 0
Condensing text
Applying Change Pair Rules: #1 of 4
Pass #1 of 2: Changing Bad Words to Spaces
re.sub - miscellany plus |
Pass #2 of 2: Changing Bad Words to Spaces - prep ASCII list of current words
Pass #1 of 3: Changing Bad Words to Spaces - words < 5 letters and not in any good words set
Pass #2 of 3: Changing Bad Words to Spaces - identifying words per custom bad words set
Pass #3 of 3: Changing Bad Words to Spaces - identifying words per standard bad words set
Pass #1 of 2: Identifying English Names to Change to Spaces
Pass #1 of 1: Identifying Specific Suffixes of Adjectives & Adverbs
Pass #1 of 1: Identifying All '......ed' verb forms plus all '......ing' forms that are NOT deverbal nouns (and are already in the standard good list) to Change to Spaces
Changing Previously Identified Words to Spaces
# first custom dict pass at changing plurals to their singulars
# first standard dict pass at changing plurals to their singulars
finished with the first pass for plurals
Finished condense_text
Analyzing text
Applying Change Pair Rules: #2 of 4
Applying Plural Pairs pass #2 of 2
finished with the second (and more comprehensive) pass for plurals
The length of final_text_list is: 0
Counting the frequency of the entire current list of filtered words
The length of common_list is: 0
Finished counting
Trimming the initial frequency list, and Accumulating the frequencies for the final list of 'good' words
Finished Trimming and Accumulating Frequency Counts
Finalizing the List of Most Frequent Words
Finished the Finalizing of the List of Most Frequent Words
full_book_path for current book: C:/Users/XXXXX/Documents/Calibre Library/Marci McDonald/The Armageddon Factor (442)/The Armageddon Factor - Marci McDonald.epub
Finalizing accumulated most frequent nouns
Clearing or initializing globals
Job: 1 English Noun Frequency finished
Starting job: English Noun Frequency
Starting 'English Noun Frequency'
Library DB: C:/Users/XXXXX/Documents/Calibre Library/metadata.db
Tue Oct 06 14:38:13 2015
Python: Windows CPython 2.7.9
SQLite Version: 3.8.4 [APSW]
PRAGMA main.busy_timeout = 2000
Beginning 'English Noun Frequency' Processing
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Chosen Options:
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Update Comments? True
Maximum Words to Add to Comments: 20
Comments Location: Append
Remove Previous ENF Comments Prior to Update? True
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Update Custom Column? True
Maximum Words in Custom Column: 5
Custom Column Specified: #enf
Sort Custom Column Words Alphabetically (not by Frequency)? False
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Update Nothing. Just Log the List of Words? False
Update Nothing. Just Remove Previous ENF Comments? False
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Accumulate the Most Frequent Nouns in this .csv File: C:/Users/XXXXX/Documents/Calibre Library/accumulated_most_frequent_nouns.csv
Accumulate the Most Frequent Nouns for all books for all jobs? True
Pause the Accumulation of Most Frequent Nouns? False
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Delete Global First Names? True
Delete the Top 100 Most Common Nouns? True
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Add New Tags? False
Maximum New Tags: 5
Only Add New Tags, or Replace All Existing Tags? Add
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Is Translation of English Nouns Active? False
English will be Translated to this Language: None
Custom Translation Mapping File to Use: Select Custom Translation File
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Number of English word pairs in the standard 'singular:plural pair' list: 4,557
Number of English words in the standard 'always discard' list: 18,927
Number of global first names in the standard 'first names to discard' list: 3,536
Number of English words in the standard 'always keep' list: 44,824
Number of English words in the standard 'obscenities' list: 49
Number of English word pairs in the standard 'change pairs' list: 19
Number of English words in the standard 'acronyms to capitalize' list: 54
Number of 'User custom good words' loaded from the Calibre Plugin Directory: 0
Number of 'User custom bad words' loaded from the Calibre Plugin Directory: 0
The 'user custom word change pairs' that were loaded, if any, have been lost.
Number of 'User custom word change pairs' loaded from the Calibre Plugin Directory: 0
Number of 'User custom word change pairs' that force a word to all upper case after counting is complete: 0
Number of 'User custom word change pairs' that force a word to title case after counting is complete: 0
Number of 'User custom word change pairs' that will be Defaulted: 0
Default: Any 'Most Frequent Noun' that does not have a specific rule to force it to all upper case will be titlecased.
Number of 'User custom singular:plural pairs' loaded from the Calibre Plugin Directory: 0
Lists have been synchronized by 'Priority': Custom User Good Words > Custom User Bad Words > Standard Good Words > Standard First (Bad) Names > Standard Bad Words.
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Number of selected books for which to determine 'English Noun Frequency': 1
Priority sequence in which book formats will be searched until one is found to use: (1st) TXT (2nd) EPUB (3rd) PDF
═════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════
Book: C:/Users/XXXXX/Documents/Calibre Library/Marci McDonald/The Armageddon Factor (442)/The Armageddon Factor - Marci McDonald.epub
Number of verb forms, adjectives and adverbs (not nouns or deverbal nouns) that were deleted based upon their English suffixes: 0
-----------------------------------------------
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No Nouns Were Found in this Book with the Format Shown in the Path.
Elapsed time to process this book was: 0 seconds
═════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════
The accumulated most frequent nouns inception-to-date frequencies were written to your personal .csv file.
The number of words with their corresponding frequencies saved to your personal .csv file: 1,934
_______________________________________________________________________________________________
Percentage of the 0 total words from this entire Job remaining after discarding all undesired English words: 0.00%, or: 0 net words
_______________________________________________________________________________________________
Format: EPUB Books: 1
Format: PDF Books: 0
Format: TXT Books: 0
Format: UNSUPPORTED Books: 0
_______________________________________________________________________________________________
'English Noun Frequency' has completed.
Job complete.