![]() ![]() You don’t talk to many people and you keep your nervous system from shorting out and you try to locate the cat in the shimmer, the grammar in the picture. You can’t think too much about these pictures that shimmer. Look hard enough, and you can’t miss the shimmer. I’m not a schizophrenic, nor do I take hallucinogens, but certain images do shimmer for me. People on hallucinogens describe the same perception of objects. You could see the molecular structure breaking down at the very edges of the cat: the cat became the background and the background the cat, everything interacting, exchanging ions. There used to be an illustration in every elementary psychology book showing a cat drawn by a patient in varying stages of schizophrenia. When I talk about pictures in my mind I am talking, quite specifically, about images that shimmer around the edges. Exampleįor instance, here is a quote from Stephen King's On Writing: You can use this to help edit your writing. This Python script takes a paragraph as input, and runs it successively through ChatGPT to extract a shortened version that performs "nearly-extractive" summarization: a version with deleted words/phrases that don't contribute to the overall meaning, and minimal rewordings or additions. Max_lines lines, with placeholder appearing at the end of the output.Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization. (default: None) If not None, then the output will contain at most Was to always allow breaking hyphenated words. If false, only whitespaces will be considered as potentially good placesįor line breaks, but you need to set break_long_words to false if (default: True) If true, wrapping will occur preferably on whitespacesĪnd right after hyphens in compound words, as it is customary in English. Order to minimize the amount by which width is exceeded.) break_on_hyphens ¶ (Long words will be put on a line by themselves, in ![]() It is false, long words will not be broken, and some lines may be longer (default: True) If true, then words longer than width will beīroken in order to ensure that no lines are longer than width. The definition of “lowercase letter”, and a convention of using two spacesĪfter a period to separate sentences on the same line, it is specific toĮnglish-language texts. Since the sentence detection algorithm relies on string.lowercase for Unable to detect the difference between “Dr.” inįix_sentence_endings is false by default. ![]() One problem with this algorithm is that it is '!', or '?', possibly followed by one of '"' or "'",įollowed by a space. Sentence ending consists of a lowercase letter followed by one of '.', However, the sentence detection algorithm is imperfect: it assumes that a This is generally desired for text in a monospaced font. Sentence endings and ensure that sentences are always separated by exactly (default: False) If true, TextWrapper attempts to detect Counts towards the length of each line except (default: '') String that will be prepended to all lines of wrapped Counts towards the length of the first line. (default: '') String that will be prepended to the first line of If whitespace being dropped takes up anĮntire line, the whole line is dropped. Whitespace at the beginning of the paragraph, however, is not dropped (default: True) If true, whitespace at the beginning and ending ofĮvery line (after wrapping but before indenting) is dropped. For this reason, text shouldīe split into paragraphs (using str.splitlines() or similar) Middle of a line and cause strange output. If replace_whitespace is false, newlines may appear in the Wraps the single paragraph in text, and returns a single string containing the fill ( text, width = 70, *, initial_indent = '', subsequent_indent = '', expand_tabs = True, replace_whitespace = True, fix_sentence_endings = False, break_long_words = True, drop_whitespace = True, break_on_hyphens = True, tabsize = 8, max_lines = None, placeholder = ' ' ) ¶ See the TextWrapper.wrap() method for additional details on how Optional keyword arguments correspond to the instance attributes of Returns a list of output lines, without final Wraps the single paragraph in text (a string) so every line is at most wrap ( text, width = 70, *, initial_indent = '', subsequent_indent = '', expand_tabs = True, replace_whitespace = True, fix_sentence_endings = False, break_long_words = True, drop_whitespace = True, break_on_hyphens = True, tabsize = 8, max_lines = None, placeholder = ' ' ) ¶ If you’re just wrapping or filling one or two text strings, the convenienceįunctions should be good enough otherwise, you should use an instance of The textwrap module provides some convenience functions,Īs well as TextWrapper, the class that does all the work. ![]()
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