<commit_before>'''Argument parsing module

'''

__author__ = '<NAME>'
__author_email__ = '<EMAIL>'

import argparse
import ast
import inspect
import logging
import re

from sphinxcontrib.napoleon import Config
from sphinxcontrib.napoleon.docstring import GoogleDocstring

from . import data, optimizer, train


def parse_kwargs(f):
    kwargs = {}
    sig = inspect.signature(f)
    signatures = []
    for i, (sk, sv) in enumerate(sig.parameters.items()):

        if sk == 'self':
            pass
        elif sk == 'kwargs':
            pass
        else:
            signatures.append(sv.name)
            kwargs[sv.name] = sv.default
    return kwargs


def parse_docstring(f):
    doc = inspect.cleandoc(f.__doc__)
    config = Config()
    google_doc = GoogleDocstring(doc, config)
    rst = str(google_doc)
    param_regex = r':param (?P<param>\w+): (?P<doc>.*)'
    m = re.findall(param_regex, rst)
    args_help = dict((k, v) for k, v in m)
    return args_help


def parse_header(f):
    doc = inspect.cleandoc(f.__doc__)
    config = Config()
    google_doc = GoogleDocstring(doc, config)
    rst = str(google_doc)
    lines = [l for l in rst.splitlines() if len(l) > 0]
    if len(lines) >= 2:
        return lines[:2]
    elif len(lines) == 1:
        return lines[0]
    else:
        return None, None


data_help = parse_docstring(data.setup)
data_args = parse_kwargs(data.setup)
train_help = parse_docstring(train.main_loop)
train_args = parse_kwargs(train.main_loop)
optimizer_help = parse_docstring(optimizer.setup)
optimizer_args = parse_kwargs(optimizer.setup)

default_args = dict(data=data_args, optimizer=optimizer_args, train=train_args)
default_help = dict(data=data_help, optimizer=optimizer_help, train=train_help)

_protected_args = ['arch', 'out_path', 'name', 'reload',
                   'args', 'copy_to_local', 'meta', 'config_file',
                   'clean', 'verbosity', 'test']

logger = logging.getLogger('cortex.parsing')


def make_argument_parser():
    '''Generic experiment parser.

    Generic parser takes the experiment yaml as the main argument, but has some
    options for reloading, etc. This parser can be easily extended using a
    wrapper method.

    Returns:
        argparse.parser

    '''
    parser = argparse.ArgumentParser()
    parser.add_argument(
        '-o',
        '--out_path',
        default=None,
        help=(
            'Output path directory. All model results will go'
            ' here. If a new directory, a new one will be '
            'created, as long as parent exists.'))<commit_msg>PR #83 fixes.<commit_after>'''Argument parsing module

'''

__author__ = '<NAME>'
__author_email__ = '<EMAIL>'

import argparse
import ast
import inspect
import logging
import re

from sphinxcontrib.napoleon import Config
from sphinxcontrib.napoleon.docstring import GoogleDocstring

from . import data, optimizer, train


def parse_kwargs(f):
    kwargs = {}
    sig = inspect.signature(f)
    signatures = []
    for i, (sk, sv) in enumerate(sig.parameters.items()):

        if sk == 'self':
            pass
        elif sk == 'kwargs':
            pass
        else:
            signatures.append(sv.name)
            kwargs[sv.name] = sv.default
    return kwargs


def parse_docstring(f):
    doc = inspect.cleandoc(f.__doc__)
    config = Config()
    google_doc = GoogleDocstring(doc, config)
    rst = str(google_doc)
    param_regex = r':param (?P<param>\w+): (?P<doc>.*)'
    m = re.findall(param_regex, rst)
    args_help = dict((k, v) for k, v in m)
    return args_help


def parse_header(f):
    doc = inspect.cleandoc(f.__doc__)
    config = Config()
    google_doc = GoogleDocstring(doc, config)
    rst = str(google_doc)
    lines = [l for l in rst.splitlines() if len(l) > 0]
    if len(lines) >= 2:
        return lines[:2]
    elif len(lines) == 1:
        return lines[0]
    else:
        return None, None


data_help = parse_docstring(data.setup)
data_args = parse_kwargs(data.setup)
train_help = parse_docstring(train.main_loop)
train_args = parse_kwargs(train.main_loop)
optimizer_help = parse_docstring(optimizer.setup)
optimizer_args = parse_kwargs(optimizer.setup)

default_args = dict(data=data_args, optimizer=optimizer_args, train=train_args)
default_help = dict(data=data_help, optimizer=optimizer_help, train=train_help)

_protected_args = ['arch', 'out_path', 'name', 'reload',
                   'args', 'copy_to_local', 'meta', 'config_file',
                   'clean', 'verbosity', 'test']

logger = logging.getLogger('cortex.parsing')


def make_argument_parser():
    '''Generic experiment parser.

    Generic parser takes the experiment yaml as the main argument, but has some
    options for reloading, etc. This parser can be easily extended using a
    wrapper method.

    Returns:
        argparse.parser

    '''
    parser = argparse.ArgumentParser()
    parser.add_argument(
        '-o',
        '--out_path',
        default=None,
        help=('Output path directory. All model results will go'
              ' here. If a new directory, a new one will be '
              'created, as long as parent exists.'))
{'fraction_non_alphanumeric': 0.11402996691963417, 'fraction_numerical': 0.002335084646818447, 'mean_word_length': 3.0062353858144975, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 15, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3356627', 'n_tokens_mistral': 1646, 'n_tokens_neox': 1597, 'n_words': 434}