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        "description": "# PyBite\n\nChunk by chunk iteration made easier\n\n## Installation\n\n    pip install pybite\n\n## Methods\n\n### iterate_by\n\nReturn a iterator of chunks for the iterable\n\n#### Parameters\n\n**iterable**: *iter*\n\nAny iterable data e.g. list, tuple, dict, iter, ...\n\n**chunk_size**: *int*\n\nThe size of each chunk\n\n**map**: *callable* optional, defaults *None*\n\nA map function for transform the data before dividing in chunks\n\n**persist_header**: *bool* optional, defaults *False*\n\nWhether to persist a header on each chunk or not. \nIf persist_header is True and header is None, \nthe firt line will be read as the actual header.\n\n**header**: *str* optional, defaults *None*\n\nA header to be written at the start of each file.\nIf persist_header is True and header is None, \nthe firt line will be read as the actual header.\n\n#### Returns\n\n**iter**\n\nNew iterable for the chunked data\n\n#### Examples\n\n```python\n>>> iterate_by([1, 2, 3, 4, 5], 2)\niter([[1, 2], [3, 4], [5]])\n>>> iterate_by([1, 2, 3, 4, 5], 2, map=lambda x: x * 2)\niter([[2, 4], [6, 8], [10]])\n>>> iterate_by([\"numbers\", 1, 2, 3, 4, 5], 2, persist_header=True)\niter([[\"numbers\", 1, 2], [\"numbers\", 3, 4], [\"numbers\", 5]])\n```\n\n### iterate_file_by_lines\n\nReturn a iterator of file lines.\n\nEach line is read on-demand untill there is no more line to\nbe read.\n\n#### Parameters\n\n**iterable**: *iter*\n\nAny iterable data e.g. list, tuple, dict, iter, ...\n\n**file_stream** : *str*, *io.StringIO*\n\nA file path or io.StringIO instance to the file to be read.\n\n**encoding** : *str* optional, defaults *None*\n\nThe input file encoding. \nThe chunks will be saved using the same encoding.\n\n**strip_end** : *bool* optional, defaults *False*\n\nFlag for strip the end of each line.\nSame as calling `line.rstrip()`.\n\n#### Returns\n\n**iter**\n\nNew iterable for the chunked data\n\n#### Examples\n\n```python\nwith open(\"test.txt\", \"w\", 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encoding.\n\n**persist_header**: *bool* optional, defaults *False*\n\nWhether to persist a header on each chunk or not. \nIf persist_header is True and header is None, \nthe firt line will be read as the actual header.\n\n**header**: *str* optional, defaults *None*\n\nA header to be written at the start of each file.\nIf persist_header is True and header is None, \nthe firt line will be read as the actual header.\n\n**chunk_name_format**: *str* optional, defaults *\"04d\"*\n\nThe format string for the chunk numbers in the output file names.\n\n#### Returns\n\n**list**\n\nList of paths to the written files.\n\n#### Examples\n\n```python\nwith open(\"test.txt\", \"w\", encoding=\"utf-8\") as f:\n    f.write(\"Symbols\\nAyp\\nBx\\nCC\\nDt\")\n\n>>> split_by_lines(\"test.txt\", \"out\", 2, encoding=\"utf-8\")\n[\"out/test.chunk0000.txt\", \"out/test.chunk0001.txt\", \n\"out/test.chunk0002.txt\"]\n>>> split_by_lines(\"test.txt\", \"out\", 2, encoding=\"utf-8\", persist_header=True)\n[\"out/test.chunk0000.txt\", \"out/test.chunk0001.txt\"]\n```\n\n### join_file_chunks\n\nJoin chunk files into a single line stream.\n\nJoin the files created by split_by_lines into a iterable of\nstr lines and read ordered by name. \nChunks not found will throw an error if ignore_missing_chunks is not False.\n\nAvoid saving different files chunks into the same directory.\n\n#### Parameters\n\n**files_path**: *str*\n\nThe path to a directory containing the chunk files or a list of the path to the files.\n\n**encoding**: *str* optional, defaults *None*\n\nThe input file encoding. \nThe chunks will be saved using the same encoding.\n\n**persisted_header**: *bool* optional, defaults *False*\n\nWhether a header was persisted on each chunk or not. \nIf persisted_header is True and header is None, \nthe firt line of teh first file will be read as the actual header.\n\n**header**: *str* optional, defaults *None*\n\nA header to be read at the start of the first file.\nIf persisted_header is True and header is None, \nthe firt line of teh first file will be read as the actual header.\n\n**ignore_missing_chunks**: *bool* optional, defaults *\"False*\n\nFlag to ignore missing chunks.\n\n#### Returns\n\n**iter**\n\nAn iterable to the lines of the files (read in the order).\n\n### split_file_by_lines\n\nSlice file by lines into an iterable of the sliced lines.\n\nReturns only cut lines in iterable str format. \nIt does not work with negative numbers.\n\n#### Parameters\n\n**files_stream**: *str*\n\nThe path and file to be cut.\n\n***start***: *int*\n\nInitial position of the cut.\nUse positive Number.\n\n***end***: *int*\n\nEnd position of the cut.\nUse Positive Number.\n\n**encoding**: *str* optional, defaults *None*\n\nThe input file encoding. \nThe chunks will be saved using the same encoding.\n\n**persisted_header**: *bool* optional, defaults *False*\n\nWhether a header was persisted on each chunk or not. \nIf persisted_header is True and header is 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