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Programmation Python
Les fondamentaux
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Module « numpy.matlib »
Signature de la fonction fromregex
def fromregex(file, regexp, dtype, encoding=None)
Description
help(numpy.matlib.fromregex)
Construct an array from a text file, using regular expression parsing.
The returned array is always a structured array, and is constructed from
all matches of the regular expression in the file. Groups in the regular
expression are converted to fields of the structured array.
Parameters
----------
file : file, str, or pathlib.Path
Filename or file object to read.
.. versionchanged:: 1.22.0
Now accepts `os.PathLike` implementations.
regexp : str or regexp
Regular expression used to parse the file.
Groups in the regular expression correspond to fields in the dtype.
dtype : dtype or list of dtypes
Dtype for the structured array; must be a structured datatype.
encoding : str, optional
Encoding used to decode the inputfile. Does not apply to input streams.
Returns
-------
output : ndarray
The output array, containing the part of the content of `file` that
was matched by `regexp`. `output` is always a structured array.
Raises
------
TypeError
When `dtype` is not a valid dtype for a structured array.
See Also
--------
fromstring, loadtxt
Notes
-----
Dtypes for structured arrays can be specified in several forms, but all
forms specify at least the data type and field name. For details see
`basics.rec`.
Examples
--------
>>> import numpy as np
>>> from io import StringIO
>>> text = StringIO("1312 foo\n1534 bar\n444 qux")
>>> regexp = r"(\d+)\s+(...)" # match [digits, whitespace, anything]
>>> output = np.fromregex(text, regexp,
... [('num', np.int64), ('key', 'S3')])
>>> output
array([(1312, b'foo'), (1534, b'bar'), ( 444, b'qux')],
dtype=[('num', '<i8'), ('key', 'S3')])
>>> output['num']
array([1312, 1534, 444])
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RAG (Retrieval-Augmented Generation)et Fine Tuning d'un LLM
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