#!/usr/bin/env python """ Analyze docstrings to detect errors. If no argument is provided, it does a quick check of docstrings and returns a csv with all API functions and results of basic checks. If a function or method is provided in the form "pandas.function", "pandas.module.class.method", etc. a list of all errors in the docstring for the specified function or method. Usage:: $ ./validate_docstrings.py $ ./validate_docstrings.py pandas.DataFrame.head """ import os import sys import json import re import glob import functools import collections import argparse import pydoc import inspect import importlib import doctest import tempfile import ast import textwrap import flake8.main.application try: from io import StringIO except ImportError: from cStringIO import StringIO # Template backend makes matplotlib to not plot anything. This is useful # to avoid that plot windows are open from the doctests while running the # script. Setting here before matplotlib is loaded. # We don't warn for the number of open plots, as none is actually being opened os.environ['MPLBACKEND'] = 'Template' import matplotlib matplotlib.rc('figure', max_open_warning=10000) import numpy BASE_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, os.path.join(BASE_PATH)) import pandas from pandas.compat import signature sys.path.insert(1, os.path.join(BASE_PATH, 'doc', 'sphinxext')) from numpydoc.docscrape import NumpyDocString from pandas.io.formats.printing import pprint_thing PRIVATE_CLASSES = ['NDFrame', 'IndexOpsMixin'] DIRECTIVES = ['versionadded', 'versionchanged', 'deprecated'] ALLOWED_SECTIONS = ['Parameters', 'Attributes', 'Methods', 'Returns', 'Yields', 'Other Parameters', 'Raises', 'Warns', 'See Also', 'Notes', 'References', 'Examples'] ERROR_MSGS = { 'GL01': 'Docstring text (summary) should start in the line immediately ' 'after the opening quotes (not in the same line, or leaving a ' 'blank line in between)', 'GL02': 'Closing quotes should be placed in the line after the last text ' 'in the docstring (do not close the quotes in the same line as ' 'the text, or leave a blank line between the last text and the ' 'quotes)', 'GL03': 'Double line break found; please use only one blank line to ' 'separate sections or paragraphs, and do not leave blank lines ' 'at the end of docstrings', 'GL04': 'Private classes ({mentioned_private_classes}) should not be ' 'mentioned in public docstrings', 'GL05': 'Tabs found at the start of line "{line_with_tabs}", please use ' 'whitespace only', 'GL06': 'Found unknown section "{section}". Allowed sections are: ' '{allowed_sections}', 'GL07': 'Sections are in the wrong order. Correct order is: ' '{correct_sections}', 'GL08': 'The object does not have a docstring', 'GL09': 'Deprecation warning should precede extended summary', 'SS01': 'No summary found (a short summary in a single line should be ' 'present at the beginning of the docstring)', 'SS02': 'Summary does not start with a capital letter', 'SS03': 'Summary does not end with a period', 'SS04': 'Summary contains heading whitespaces', 'SS05': 'Summary must start with infinitive verb, not third person ' '(e.g. use "Generate" instead of "Generates")', 'SS06': 'Summary should fit in a single line', 'ES01': 'No extended summary found', 'PR01': 'Parameters {missing_params} not documented', 'PR02': 'Unknown parameters {unknown_params}', 'PR03': 'Wrong parameters order. Actual: {actual_params}. ' 'Documented: {documented_params}', 'PR04': 'Parameter "{param_name}" has no type', 'PR05': 'Parameter "{param_name}" type should not finish with "."', 'PR06': 'Parameter "{param_name}" type should use "{right_type}" instead ' 'of "{wrong_type}"', 'PR07': 'Parameter "{param_name}" has no description', 'PR08': 'Parameter "{param_name}" description should start with a ' 'capital letter', 'PR09': 'Parameter "{param_name}" description should finish with "."', 'PR10': 'Parameter "{param_name}" requires a space before the colon ' 'separating the parameter name and type', 'RT01': 'No Returns section found', 'RT02': 'The first line of the Returns section should contain only the ' 'type, unless multiple values are being returned', 'RT03': 'Return value has no description', 'RT04': 'Return value description should start with a capital letter', 'RT05': 'Return value description should finish with "."', 'YD01': 'No Yields section found', 'SA01': 'See Also section not found', 'SA02': 'Missing period at end of description for See Also ' '"{reference_name}" reference', 'SA03': 'Description should be capitalized for See Also ' '"{reference_name}" reference', 'SA04': 'Missing description for See Also "{reference_name}" reference', 'SA05': '{reference_name} in `See Also` section does not need `pandas` ' 'prefix, use {right_reference} instead.', 'EX01': 'No examples section found', 'EX02': 'Examples do not pass tests:\n{doctest_log}', 'EX03': 'flake8 error: {error_code} {error_message}{times_happening}', 'EX04': 'Do not import {imported_library}, as it is imported ' 'automatically for the examples (numpy as np, pandas as pd)', } def error(code, **kwargs): """ Return a tuple with the error code and the message with variables replaced. This is syntactic sugar so instead of: - `('EX02', ERROR_MSGS['EX02'].format(doctest_log=log))` We can simply use: - `error('EX02', doctest_log=log)` Parameters ---------- code : str Error code. **kwargs Values for the variables in the error messages Returns ------- code : str Error code. message : str Error message with varaibles replaced. """ return (code, ERROR_MSGS[code].format(**kwargs)) def get_api_items(api_doc_fd): """ Yield information about all public API items. Parse api.rst file from the documentation, and extract all the functions, methods, classes, attributes... This should include all pandas public API. Parameters ---------- api_doc_fd : file descriptor A file descriptor of the API documentation page, containing the table of contents with all the public API. Yields ------ name : str The name of the object (e.g. 'pandas.Series.str.upper). func : function The object itself. In most cases this will be a function or method, but it can also be classes, properties, cython objects... section : str The name of the section in the API page where the object item is located. subsection : str The name of the subsection in the API page where the object item is located. """ current_module = 'pandas' previous_line = current_section = current_subsection = '' position = None for line in api_doc_fd: line = line.strip() if len(line) == len(previous_line): if set(line) == set('-'): current_section = previous_line continue if set(line) == set('~'): current_subsection = previous_line continue if line.startswith('.. currentmodule::'): current_module = line.replace('.. currentmodule::', '').strip() continue if line == '.. autosummary::': position = 'autosummary' continue if position == 'autosummary': if line == '': position = 'items' continue if position == 'items': if line == '': position = None continue item = line.strip() func = importlib.import_module(current_module) for part in item.split('.'): func = getattr(func, part) yield ('.'.join([current_module, item]), func, current_section, current_subsection) previous_line = line class Docstring(object): def __init__(self, name): self.name = name obj = self._load_obj(name) self.obj = obj self.code_obj = self._to_original_callable(obj) self.raw_doc = obj.__doc__ or '' self.clean_doc = pydoc.getdoc(obj) self.doc = NumpyDocString(self.clean_doc) def __len__(self): return len(self.raw_doc) @staticmethod def _load_obj(name): """ Import Python object from its name as string. Parameters ---------- name : str Object name to import (e.g. pandas.Series.str.upper) Returns ------- object Python object that can be a class, method, function... Examples -------- >>> Docstring._load_obj('pandas.Series') """ for maxsplit in range(1, name.count('.') + 1): # TODO when py3 only replace by: module, *func_parts = ... func_name_split = name.rsplit('.', maxsplit) module = func_name_split[0] func_parts = func_name_split[1:] try: obj = importlib.import_module(module) except ImportError: pass else: continue if 'obj' not in locals(): raise ImportError('No module can be imported ' 'from "{}"'.format(name)) for part in func_parts: obj = getattr(obj, part) return obj @staticmethod def _to_original_callable(obj): """ Find the Python object that contains the source code of the object. This is useful to find the place in the source code (file and line number) where a docstring is defined. It does not currently work for all cases, but it should help find some (properties...). """ while True: if inspect.isfunction(obj) or inspect.isclass(obj): f = inspect.getfile(obj) if f.startswith('<') and f.endswith('>'): return None return obj if inspect.ismethod(obj): obj = obj.__func__ elif isinstance(obj, functools.partial): obj = obj.func elif isinstance(obj, property): obj = obj.fget else: return None @property def type(self): return type(self.obj).__name__ @property def is_function_or_method(self): # TODO(py27): remove ismethod return (inspect.isfunction(self.obj) or inspect.ismethod(self.obj)) @property def source_file_name(self): """ File name where the object is implemented (e.g. pandas/core/frame.py). """ try: fname = inspect.getsourcefile(self.code_obj) except TypeError: # In some cases the object is something complex like a cython # object that can't be easily introspected. An it's better to # return the source code file of the object as None, than crash pass else: if fname: fname = os.path.relpath(fname, BASE_PATH) return fname @property def source_file_def_line(self): """ Number of line where the object is defined in its file. """ try: return inspect.getsourcelines(self.code_obj)[-1] except (OSError, TypeError): # In some cases the object is something complex like a cython # object that can't be easily introspected. An it's better to # return the line number as None, than crash pass @property def github_url(self): url = 'https://github.com/pandas-dev/pandas/blob/master/' url += '{}#L{}'.format(self.source_file_name, self.source_file_def_line) return url @property def start_blank_lines(self): i = None if self.raw_doc: for i, row in enumerate(self.raw_doc.split('\n')): if row.strip(): break return i @property def end_blank_lines(self): i = None if self.raw_doc: for i, row in enumerate(reversed(self.raw_doc.split('\n'))): if row.strip(): break return i @property def double_blank_lines(self): prev = True for row in self.raw_doc.split('\n'): if not prev and not row.strip(): return True prev = row.strip() return False @property def section_titles(self): sections = [] self.doc._doc.reset() while not self.doc._doc.eof(): content = self.doc._read_to_next_section() if (len(content) > 1 and len(content[0]) == len(content[1]) and set(content[1]) == {'-'}): sections.append(content[0]) return sections @property def summary(self): return ' '.join(self.doc['Summary']) @property def num_summary_lines(self): return len(self.doc['Summary']) @property def extended_summary(self): if not self.doc['Extended Summary'] and len(self.doc['Summary']) > 1: return ' '.join(self.doc['Summary']) return ' '.join(self.doc['Extended Summary']) @property def needs_summary(self): return not (bool(self.summary) and bool(self.extended_summary)) @property def doc_parameters(self): return collections.OrderedDict((name, (type_, ''.join(desc))) for name, type_, desc in self.doc['Parameters']) @property def signature_parameters(self): if inspect.isclass(self.obj): if hasattr(self.obj, '_accessors') and ( self.name.split('.')[-1] in self.obj._accessors): # accessor classes have a signature but don't want to show this return tuple() try: sig = signature(self.obj) except (TypeError, ValueError): # Some objects, mainly in C extensions do not support introspection # of the signature return tuple() params = sig.args if sig.varargs: params.append("*" + sig.varargs) if sig.keywords: params.append("**" + sig.keywords) params = tuple(params) if params and params[0] in ('self', 'cls'): return params[1:] return params @property def parameter_mismatches(self): errs = [] signature_params = self.signature_parameters doc_params = tuple(self.doc_parameters) missing = set(signature_params) - set(doc_params) if missing: errs.append(error('PR01', missing_params=pprint_thing(missing))) extra = set(doc_params) - set(signature_params) if extra: errs.append(error('PR02', unknown_params=pprint_thing(extra))) if (not missing and not extra and signature_params != doc_params and not (not signature_params and not doc_params)): errs.append(error('PR03', actual_params=signature_params, documented_params=doc_params)) return errs @property def correct_parameters(self): return not bool(self.parameter_mismatches) def parameter_type(self, param): return self.doc_parameters[param][0] def parameter_desc(self, param): desc = self.doc_parameters[param][1] # Find and strip out any sphinx directives for directive in DIRECTIVES: full_directive = '.. {}'.format(directive) if full_directive in desc: # Only retain any description before the directive desc = desc[:desc.index(full_directive)] return desc @property def see_also(self): return collections.OrderedDict((name, ''.join(desc)) for name, desc, _ in self.doc['See Also']) @property def examples(self): return self.doc['Examples'] @property def returns(self): return self.doc['Returns'] @property def yields(self): return self.doc['Yields'] @property def method_source(self): try: source = inspect.getsource(self.obj) except TypeError: return '' return textwrap.dedent(source) @property def method_returns_something(self): ''' Check if the docstrings method can return something. Bare returns, returns valued None and returns from nested functions are disconsidered. Returns ------- bool Whether the docstrings method can return something. ''' def get_returns_not_on_nested_functions(node): returns = [node] if isinstance(node, ast.Return) else [] for child in ast.iter_child_nodes(node): # Ignore nested functions and its subtrees. if not isinstance(child, ast.FunctionDef): child_returns = get_returns_not_on_nested_functions(child) returns.extend(child_returns) return returns tree = ast.parse(self.method_source).body if tree: returns = get_returns_not_on_nested_functions(tree[0]) return_values = [r.value for r in returns] # Replace NameConstant nodes valued None for None. for i, v in enumerate(return_values): if isinstance(v, ast.NameConstant) and v.value is None: return_values[i] = None return any(return_values) else: return False @property def first_line_ends_in_dot(self): if self.doc: return self.doc.split('\n')[0][-1] == '.' @property def deprecated_with_directive(self): return '.. deprecated:: ' in (self.summary + self.extended_summary) @property def deprecated(self): return (self.name.startswith('pandas.Panel') or self.deprecated_with_directive) @property def mentioned_private_classes(self): return [klass for klass in PRIVATE_CLASSES if klass in self.raw_doc] @property def examples_errors(self): flags = doctest.NORMALIZE_WHITESPACE | doctest.IGNORE_EXCEPTION_DETAIL finder = doctest.DocTestFinder() runner = doctest.DocTestRunner(optionflags=flags) context = {'np': numpy, 'pd': pandas} error_msgs = '' for test in finder.find(self.raw_doc, self.name, globs=context): f = StringIO() runner.run(test, out=f.write) error_msgs += f.getvalue() return error_msgs @property def examples_source_code(self): lines = doctest.DocTestParser().get_examples(self.raw_doc) return [line.source for line in lines] def validate_pep8(self): if not self.examples: return # F401 is needed to not generate flake8 errors in examples # that do not user numpy or pandas content = ''.join(('import numpy as np # noqa: F401\n', 'import pandas as pd # noqa: F401\n', *self.examples_source_code)) application = flake8.main.application.Application() application.initialize(["--quiet"]) with tempfile.NamedTemporaryFile(mode='w') as file: file.write(content) file.flush() application.run_checks([file.name]) # We need this to avoid flake8 printing the names of the files to # the standard output application.formatter.write = lambda line, source: None application.report() yield from application.guide.stats.statistics_for('') def get_validation_data(doc): """ Validate the docstring. Parameters ---------- doc : Docstring A Docstring object with the given function name. Returns ------- tuple errors : list of tuple Errors occurred during validation. warnings : list of tuple Warnings occurred during validation. examples_errs : str Examples usage displayed along the error, otherwise empty string. Notes ----- The errors codes are defined as: - First two characters: Section where the error happens: * GL: Global (no section, like section ordering errors) * SS: Short summary * ES: Extended summary * PR: Parameters * RT: Returns * YD: Yields * RS: Raises * WN: Warns * SA: See Also * NT: Notes * RF: References * EX: Examples - Last two characters: Numeric error code inside the section For example, EX02 is the second codified error in the Examples section (which in this case is assigned to examples that do not pass the tests). The error codes, their corresponding error messages, and the details on how they are validated, are not documented more than in the source code of this function. """ errs = [] wrns = [] if not doc.raw_doc: errs.append(error('GL08')) return errs, wrns, '' if doc.start_blank_lines != 1: errs.append(error('GL01')) if doc.end_blank_lines != 1: errs.append(error('GL02')) if doc.double_blank_lines: errs.append(error('GL03')) mentioned_errs = doc.mentioned_private_classes if mentioned_errs: errs.append(error('GL04', mentioned_private_classes=', '.join(mentioned_errs))) for line in doc.raw_doc.splitlines(): if re.match("^ *\t", line): errs.append(error('GL05', line_with_tabs=line.lstrip())) unexpected_sections = [section for section in doc.section_titles if section not in ALLOWED_SECTIONS] for section in unexpected_sections: errs.append(error('GL06', section=section, allowed_sections=', '.join(ALLOWED_SECTIONS))) correct_order = [section for section in ALLOWED_SECTIONS if section in doc.section_titles] if correct_order != doc.section_titles: errs.append(error('GL07', correct_sections=', '.join(correct_order))) if (doc.deprecated_with_directive and not doc.extended_summary.startswith('.. deprecated:: ')): errs.append(error('GL09')) if not doc.summary: errs.append(error('SS01')) else: if not doc.summary[0].isupper(): errs.append(error('SS02')) if doc.summary[-1] != '.': errs.append(error('SS03')) if doc.summary != doc.summary.lstrip(): errs.append(error('SS04')) elif (doc.is_function_or_method and doc.summary.split(' ')[0][-1] == 's'): errs.append(error('SS05')) if doc.num_summary_lines > 1: errs.append(error('SS06')) if not doc.extended_summary: wrns.append(('ES01', 'No extended summary found')) # PR01: Parameters not documented # PR02: Unknown parameters # PR03: Wrong parameters order errs += doc.parameter_mismatches for param in doc.doc_parameters: if not param.startswith("*"): # Check can ignore var / kwargs if not doc.parameter_type(param): if ':' in param: errs.append(error('PR10', param_name=param.split(':')[0])) else: errs.append(error('PR04', param_name=param)) else: if doc.parameter_type(param)[-1] == '.': errs.append(error('PR05', param_name=param)) common_type_errors = [('integer', 'int'), ('boolean', 'bool'), ('string', 'str')] for wrong_type, right_type in common_type_errors: if wrong_type in doc.parameter_type(param): errs.append(error('PR06', param_name=param, right_type=right_type, wrong_type=wrong_type)) if not doc.parameter_desc(param): errs.append(error('PR07', param_name=param)) else: if not doc.parameter_desc(param)[0].isupper(): errs.append(error('PR08', param_name=param)) if doc.parameter_desc(param)[-1] != '.': errs.append(error('PR09', param_name=param)) if doc.is_function_or_method: if not doc.returns: if doc.method_returns_something: errs.append(error('RT01')) else: if len(doc.returns) == 1 and doc.returns[0][1]: errs.append(error('RT02')) for name_or_type, type_, desc in doc.returns: if not desc: errs.append(error('RT03')) else: desc = ' '.join(desc) if not desc[0].isupper(): errs.append(error('RT04')) if not desc.endswith('.'): errs.append(error('RT05')) if not doc.yields and 'yield' in doc.method_source: errs.append(error('YD01')) if not doc.see_also: wrns.append(error('SA01')) else: for rel_name, rel_desc in doc.see_also.items(): if rel_desc: if not rel_desc.endswith('.'): errs.append(error('SA02', reference_name=rel_name)) if not rel_desc[0].isupper(): errs.append(error('SA03', reference_name=rel_name)) else: errs.append(error('SA04', reference_name=rel_name)) if rel_name.startswith('pandas.'): errs.append(error('SA05', reference_name=rel_name, right_reference=rel_name[len('pandas.'):])) examples_errs = '' if not doc.examples: wrns.append(error('EX01')) else: examples_errs = doc.examples_errors if examples_errs: errs.append(error('EX02', doctest_log=examples_errs)) for err in doc.validate_pep8(): errs.append(error('EX03', error_code=err.error_code, error_message=err.message, times_happening=' ({} times)'.format(err.count) if err.count > 1 else '')) examples_source_code = ''.join(doc.examples_source_code) for wrong_import in ('numpy', 'pandas'): if 'import {}'.format(wrong_import) in examples_source_code: errs.append(error('EX04', imported_library=wrong_import)) return errs, wrns, examples_errs def validate_one(func_name): """ Validate the docstring for the given func_name Parameters ---------- func_name : function Function whose docstring will be evaluated (e.g. pandas.read_csv). Returns ------- dict A dictionary containing all the information obtained from validating the docstring. """ doc = Docstring(func_name) errs, wrns, examples_errs = get_validation_data(doc) return {'type': doc.type, 'docstring': doc.clean_doc, 'deprecated': doc.deprecated, 'file': doc.source_file_name, 'file_line': doc.source_file_def_line, 'github_link': doc.github_url, 'errors': errs, 'warnings': wrns, 'examples_errors': examples_errs} def validate_all(prefix, ignore_deprecated=False): """ Execute the validation of all docstrings, and return a dict with the results. Parameters ---------- prefix : str or None If provided, only the docstrings that start with this pattern will be validated. If None, all docstrings will be validated. ignore_deprecated: bool, default False If True, deprecated objects are ignored when validating docstrings. Returns ------- dict A dictionary with an item for every function/method... containing all the validation information. """ result = {} seen = {} # functions from the API docs api_doc_fnames = os.path.join( BASE_PATH, 'doc', 'source', 'reference', '*.rst') api_items = [] for api_doc_fname in glob.glob(api_doc_fnames): with open(api_doc_fname) as f: api_items += list(get_api_items(f)) for func_name, func_obj, section, subsection in api_items: if prefix and not func_name.startswith(prefix): continue doc_info = validate_one(func_name) if ignore_deprecated and doc_info['deprecated']: continue result[func_name] = doc_info shared_code_key = doc_info['file'], doc_info['file_line'] shared_code = seen.get(shared_code_key, '') result[func_name].update({'in_api': True, 'section': section, 'subsection': subsection, 'shared_code_with': shared_code}) seen[shared_code_key] = func_name # functions from introspecting Series, DataFrame and Panel api_item_names = set(list(zip(*api_items))[0]) for class_ in (pandas.Series, pandas.DataFrame, pandas.Panel): for member in inspect.getmembers(class_): func_name = 'pandas.{}.{}'.format(class_.__name__, member[0]) if (not member[0].startswith('_') and func_name not in api_item_names): if prefix and not func_name.startswith(prefix): continue doc_info = validate_one(func_name) if ignore_deprecated and doc_info['deprecated']: continue result[func_name] = doc_info result[func_name]['in_api'] = False return result def main(func_name, prefix, errors, output_format, ignore_deprecated): def header(title, width=80, char='#'): full_line = char * width side_len = (width - len(title) - 2) // 2 adj = '' if len(title) % 2 == 0 else ' ' title_line = '{side} {title}{adj} {side}'.format(side=char * side_len, title=title, adj=adj) return '\n{full_line}\n{title_line}\n{full_line}\n\n'.format( full_line=full_line, title_line=title_line) exit_status = 0 if func_name is None: result = validate_all(prefix, ignore_deprecated) if output_format == 'json': output = json.dumps(result) else: if output_format == 'default': output_format = '{text}\n' elif output_format == 'azure': output_format = ('##vso[task.logissue type=error;' 'sourcepath={path};' 'linenumber={row};' 'code={code};' ']{text}\n') else: raise ValueError('Unknown output_format "{}"'.format( output_format)) output = '' for name, res in result.items(): for err_code, err_desc in res['errors']: # The script would be faster if instead of filtering the # errors after validating them, it didn't validate them # initially. But that would complicate the code too much if errors and err_code not in errors: continue exit_status += 1 output += output_format.format( name=name, path=res['file'], row=res['file_line'], code=err_code, text='{}: {}'.format(name, err_desc)) sys.stdout.write(output) else: result = validate_one(func_name) sys.stderr.write(header('Docstring ({})'.format(func_name))) sys.stderr.write('{}\n'.format(result['docstring'])) sys.stderr.write(header('Validation')) if result['errors']: sys.stderr.write('{} Errors found:\n'.format( len(result['errors']))) for err_code, err_desc in result['errors']: # Failing examples are printed at the end if err_code == 'EX02': sys.stderr.write('\tExamples do not pass tests\n') continue sys.stderr.write('\t{}\n'.format(err_desc)) if result['warnings']: sys.stderr.write('{} Warnings found:\n'.format( len(result['warnings']))) for wrn_code, wrn_desc in result['warnings']: sys.stderr.write('\t{}\n'.format(wrn_desc)) if not result['errors']: sys.stderr.write('Docstring for "{}" correct. :)\n'.format( func_name)) if result['examples_errors']: sys.stderr.write(header('Doctests')) sys.stderr.write(result['examples_errors']) return exit_status if __name__ == '__main__': format_opts = 'default', 'json', 'azure' func_help = ('function or method to validate (e.g. pandas.DataFrame.head) ' 'if not provided, all docstrings are validated and returned ' 'as JSON') argparser = argparse.ArgumentParser( description='validate pandas docstrings') argparser.add_argument('function', nargs='?', default=None, help=func_help) argparser.add_argument('--format', default='default', choices=format_opts, help='format of the output when validating ' 'multiple docstrings (ignored when validating one).' 'It can be {}'.format(str(format_opts)[1:-1])) argparser.add_argument('--prefix', default=None, help='pattern for the ' 'docstring names, in order to decide which ones ' 'will be validated. A prefix "pandas.Series.str.' 'will make the script validate all the docstrings' 'of methods starting by this pattern. It is ' 'ignored if parameter function is provided') argparser.add_argument('--errors', default=None, help='comma separated ' 'list of error codes to validate. By default it ' 'validates all errors (ignored when validating ' 'a single docstring)') argparser.add_argument('--ignore_deprecated', default=False, action='store_true', help='if this flag is set, ' 'deprecated objects are ignored when validating ' 'all docstrings') args = argparser.parse_args() sys.exit(main(args.function, args.prefix, args.errors.split(',') if args.errors else None, args.format, args.ignore_deprecated))