from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/docstr-md/blob/master')
soup = PySoup(path='test.py', parser='sklearn', src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/test.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/hemlock-berlin/blob/master')
path = 'hemlock_berlin/__init__.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/api.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/sqlalchemy-nav/blob/master')
path = 'sqlalchemy_nav/__init__.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.rm_properties()
for obj in soup.objects:
if hasattr(obj, 'name'):
if obj.name == 'NavbarMixin':
obj.rm_methods('navitems')
elif obj.name == 'NavitemMixin':
obj.rm_methods('dropdownitems')
compile_md(soup, compiler='sklearn', outfile='docs_md/api.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/docstr-md/blob/master')
path = 'docstr_md/python/__init__.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.rm_properties()
compile_md(soup, compiler='sklearn', outfile='docs_md/python/basic_use.md')
path = 'docstr_md/src_href/github.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.objects.insert(0, '#Linking to source code')
compile_md(soup, compiler='sklearn', outfile='docs_md/src_href.md')
path = 'docstr_md/python/soup_objects.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.keep_objects('Expr', 'FunctionDef', 'ClassDef')
soup.rm_properties()
soup.import_path = 'docstr_md/python'
compile_md(soup, compiler='sklearn', outfile='docs_md/python/soup_objects.md')
path = 'docstr_md/python/parsers/sklearn.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = 'docstr_md/python/parsers'
soup.objects.insert(0, '#Parsers')
compile_md(soup, compiler='sklearn', outfile='docs_md/python/parsers.md')
path = 'docstr_md/python/compilers/sklearn.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = 'docstr_md/python/compilers'
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/sqlalchemy-mutable/blob/master')
path = 'sqlalchemy_mutable/mutable.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.rm_properties()
mutable = [
obj for obj in soup.objects
if hasattr(obj, 'name') and obj.name == 'Mutable'
][0]
mutable.methods = [m for m in mutable.methods if m.name != 'coerce']
soup.import_path = 'sqlalchemy_mutable'
compile_md(soup, compiler='sklearn', outfile='docs_md/basic.md')
path = 'sqlalchemy_mutable/coerced_types.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.objects = soup.objects[0:1]
compile_md(soup, compiler='sklearn', outfile='docs_md/coerced_types.md')
path = 'sqlalchemy_mutable/model_shell.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/model_shell.md')
path = 'sqlalchemy_mutable/mutable_list.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
for obj in soup.objects:
if hasattr(obj, 'name'):
if obj.name == 'MutableListType':
obj.methods.clear()
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github(
'https://github.com/dsbowen/hemlock-demographics/blob/master')
path = 'hemlock_demographics/__init__.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.keep_objects('demographics', 'comprehensive_demographics',
'basic_demographics', 'family_demographics',
'country_demographics', 'status_demographics', 'register')
compile_md(soup, compiler='sklearn', outfile='docs_md/api.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/gshap/blob/master')
soup = PySoup(path='gshap/__init__.py', parser='sklearn', src_href=src_href)
soup.rm_properties()
compile_md(soup, compiler='sklearn', outfile='docs_md/kernel_explainer.md')
g_functions = ('hypothesis', 'intergroup', 'probability_distance')
for g in g_functions:
soup = PySoup(path='gshap/{}.py'.format(g),
parser='sklearn',
src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/{}.md'.format(g))
soup = PySoup(path='gshap/datasets/__init__.py',
parser='sklearn',
src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/datasets.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
import os
src_href = Github('https://github.com/dsbowen/smoother/blob/master')
path = 'smoother/smoother.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = 'smoother'
soup.rm_properties()
compile_md(soup, compiler='sklearn', outfile='docs_md/smoother.md')
path = 'smoother/max_entropy.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = 'smoother'
soup.rm_properties
compile_md(soup, compiler='sklearn', outfile='docs_md/max_entropy.md')
path = 'smoother/utils.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = 'smoother'
compile_md(soup, compiler='sklearn', outfile='docs_md/utils.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/selenium-tools/blob/master')
path = 'selenium_tools/__init__.py'
soup = PySoup(path=path, src_href=src_href)
compile_md(soup, outfile='docs_md/api.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
import os
src_href = Github('https://github.com/dsbowen/dash-fcast/blob/master')
path = 'dash_fcast/table.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = 'dash_fcast'
table_cls = soup.objects[-1]
table_cls.rm_methods('to_plotly_json')
compile_md(soup, compiler='sklearn', outfile='docs_md/table.md')
dist_path = 'dash_fcast/distributions'
outfile_path = 'docs_md/distributions'
path = os.path.join(dist_path, '__init__.py')
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
outfile = os.path.join(outfile_path, 'utils.md')
compile_md(soup, compiler='sklearn', outfile=outfile)
dist_files = ('moments', 'table')
for f in dist_files:
path = os.path.join(dist_path, f + '.py')
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.import_path = dist_path
for obj in soup.objects:
try:
obj.rm_methods('to_plotly_json')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/hemlock-crt/blob/master')
path = 'hemlock_crt/__init__.py'
soup = PySoup(path=path, src_href=src_href)
soup.keep_objects('crt', 'register')
compile_md(soup, outfile='docs_md/api.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/hemlock-big5/blob/master')
soup = PySoup(path='hemlock_big5/__init__.py',
parser='sklearn',
src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/api.md')
from docstr_md.python import PySoup, compile_md
from docstr_md.src_href import Github
src_href = Github('https://github.com/dsbowen/flask-download-btn/blob/master')
path = 'flask_download_btn/__init__.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
compile_md(soup, compiler='sklearn', outfile='docs_md/manager.md')
path = 'flask_download_btn/download_btn_mixin.py'
soup = PySoup(path=path, parser='sklearn', src_href=src_href)
soup.rm_properties()
soup.objects[-1].rm_methods('handle_form_functions', 'create_file_functions')
soup.import_path = 'flask_download_btn'
compile_md(soup, compiler='sklearn', outfile='docs_md/download_btn_mixin.md')