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To efficiently parse fixed-width files, one may consider leveraging Python's struct module. This approach leverages C for improved speed, as demonstrated in the following example:
<code class="python">import struct fieldwidths = (2, -10, 24) fmtstring = ' '.join('{}{}'.format(abs(fw), 'x' if fw < 0 else 's') for fw in fieldwidths) unpack = struct.Struct(fmtstring).unpack_from # Alias. parse = lambda line: tuple(s.decode() for s in unpack(line.encode())) line = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789\n' fields = parse(line) print('fields: {}'.format(fields))</code>
Alternatively, string slicing can be employed. To enhance efficiency, consider defining a lambda function that compiles slices at runtime, as seen in the below optimized version:
<code class="python">def make_parser(fieldwidths): cuts = tuple(cut for cut in accumulate(abs(fw) for fw in fieldwidths)) pads = tuple(fw < 0 for fw in fieldwidths) # bool flags for padding fields flds = tuple(zip_longest(pads, (0,) + cuts, cuts))[:-1] # ignore final one slcs = ', '.join('line[{}:{}]'.format(i, j) for pad, i, j in flds if not pad) parse = eval('lambda line: ({})\n'.format(slcs)) # Create and compile source code. # Optional informational function attributes. parse.size = sum(abs(fw) for fw in fieldwidths) parse.fmtstring = ' '.join('{}{}'.format(abs(fw), 'x' if fw < 0 else 's') for fw in fieldwidths) return parse</code>
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