mirror of
https://github.com/ytdl-org/youtube-dl
synced 2024-12-23 04:30:10 +09:00
Merge b6bfdb25f2 into c5098961b0
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belamenso
GitHub
commit
c95f90938d
@ -910,6 +910,9 @@
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- **SVTPage**
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- **SVTPlay**: SVT Play and Öppet arkiv
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- **SVTSeries**
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- **switchtube**
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- **switchtube:channel**
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- **switchtube:profile**
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- **SWRMediathek**
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- **Syfy**
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- **SztvHu**
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@ -1235,6 +1235,11 @@ from .svt import (
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SVTPlayIE,
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SVTSeriesIE,
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)
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from .switchtube import (
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SwitchTubeIE,
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SwitchTubeProfileIE,
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SwitchTubeChannelIE,
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)
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from .swrmediathek import SWRMediathekIE
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from .syfy import SyfyIE
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from .sztvhu import SztvHuIE
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219
youtube_dl/extractor/switchtube.py
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219
youtube_dl/extractor/switchtube.py
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@ -0,0 +1,219 @@
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# coding: utf-8
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from __future__ import unicode_literals
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import itertools
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import re
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from .common import InfoExtractor
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from ..utils import (
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clean_html,
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extract_attributes,
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float_or_none,
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get_element_by_attribute,
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int_or_none,
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parse_iso8601,
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strip_or_none,
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urljoin,
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)
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class SwitchTubeIE(InfoExtractor):
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_VALID_URL = r'https?://tube\.switch\.ch/videos/(?P<id>[\da-zA-Z]+)'
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IE_NAME = 'switchtube'
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_TESTS = [{
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'url': 'https://tube.switch.ch/videos/0T1XfaIFSX',
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'info_dict': {
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'id': '0T1XfaIFSX',
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'title': '2016_ASE_sqC03-Entretien',
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'channel': 'ASE Assistant-e socio-éducatif-ve CFC',
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'channel_url': 'https://tube.switch.ch/channels/bsaer76yoL',
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'channel_id': 'bsaer76yoL',
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'ext': 'mp4',
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'description': None,
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'thumbnail': r're:^https?://tube.switch.ch/image/representations/[\w-]+$',
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'license': 'All rights reserved',
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'creator': 'Jean-Marc Pouly from Eidgenössische Hochschule für Berufsbildung',
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'uploader': 'Jean-Marc Pouly from Eidgenössische Hochschule für Berufsbildung',
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'uploader_url': 'https://tube.switch.ch/profiles/42481',
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'uploader_id': '42481',
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'upload_date': '20220309',
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'timestamp': 1646839068,
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}
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}, {
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'url': 'https://tube.switch.ch/videos/0cf3886d',
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'info_dict': {
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'id': '0cf3886d',
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'ext': 'mp4',
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'title': 'Introduction: Mini-Batches in On- and Off-Policy Deep Reinforcement Learning',
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'license': 'All rights reserved',
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'description': 'One of the challenges in Deep Reinforcement Learning is to decorrelate the data. How this is possible with replay buffers is explained here.',
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'thumbnail': r're:^https?://tube.switch.ch/image/representations/[\w-]+$',
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'channel': 'CS-456 Artificial Neural Networks',
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'channel_url': 'https://tube.switch.ch/channels/1deb03e0',
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'channel_id': '1deb03e0',
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'timestamp': 1590733406,
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'upload_date': '20200529',
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'creator': 'Wulfram Gerstner from École polytechnique fédérale de Lausanne (EPFL)',
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'uploader': 'Wulfram Gerstner from École polytechnique fédérale de Lausanne (EPFL)',
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'uploader_url': 'https://tube.switch.ch/profiles/94248',
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'uploader_id': '94248',
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}
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}]
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def _real_extract(self, url):
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video_id = self._match_id(url)
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webpage = self._download_webpage(url, video_id)
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title = self._html_search_regex(r'(?s)<title\b[^>]*>(.+?)</title>', webpage, 'title')
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info = {
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'id': video_id,
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'title': title,
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'is_live': False,
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}
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info['view_count'] = int_or_none(self._html_search_regex(r'(?s)<p\b[^>]*>\s*(\d+)\s+views?\s*</p>', webpage,
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'view_count', default=None))
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info['license'] = self._html_search_regex(r'''(?s)<span\b[^>]*?\bproperty\s*=\s*["'](?:\b[cd]c:license\b\s*){2,}[^>]+>(.+)</span>''',
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webpage, 'license', default=None)
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info['description'] = strip_or_none(clean_html(
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get_element_by_attribute('property', 'dc:description', webpage)))
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info['duration'] = float_or_none(
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self._search_regex(r'''\bdata-duration\s*=\s*["']([\d.]+)''',
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webpage, 'duration', default=None))
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channel_groups = self._search_regex(r'''(?s)<a\b[^>]+?\bhref\s*=\s*["']/channels/(.{4,}?)</a>''',
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webpage, 'channel groups', default='')
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channel_groups = re.split(r'''(?s)["'][^>]*>\s*''', channel_groups, 1)
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if len(channel_groups) == 2:
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for i, ch in enumerate(('channel_id', 'channel')):
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info[ch] = strip_or_none(channel_groups[i])
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if info['channel_id']:
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info['channel_url'] = 'https://tube.switch.ch/channels/' + info['channel_id']
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def outer_elements_by_attribute(attr, value, html, tag=None, escape_value=True, include_inner=False):
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"""generate matching HTML element strings
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if include_inner, tuples of (element, content)"""
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pattern = r'''(?s)(?P<element><(%s)\b[^>]+?\b%s\s*=\s*("|')%s\b[^>]+>)(?P<inner>.*?)</\2>''' % \
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(re.escape(tag) if tag is not None else r'\w+', attr, re.escape(value) if escape_value else value)
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matches = re.finditer(pattern, html)
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for m in matches:
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yield m.group('element', 'inner') if include_inner else m.group('element')
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for dt in outer_elements_by_attribute('property', 'dc:date', webpage, tag='span'):
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dt = extract_attributes(dt)
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if dt.get('class') == 'dt-published':
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info['timestamp'] = parse_iso8601(dt.get('content'))
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break
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creator_groups = self._search_regex(
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r'''(?s)<span\b[^>]+?\bclass\s*=\s*("|')(?:(?!\1).)*\bp-author\b(?:(?!\1).)*\1\s*property\s*=\s*["']dc:creator\b[^>]+>\s*(.*?<span\b[^>]+?\bclass\s*=\s*["']p-name\b.*</span>).*?</span>''',
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webpage, 'creator groups', default='', group=2)
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creator_groups = re.match(r'''(?s)<a\b[^>]+?\bhref\s*=\s*("|')/profiles/(?P<profile_id>.+?)\1[^>]*>\s*<span\b[^>]+>\s*(?P<creator_name>.+?)\s*</span>[,\s]*<span\b[^>]+\bclass\s*=\s*["']p-organization-name\b[^>]+>\s*(?P<organization_name>.+?)\s*</span>''', creator_groups)
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if creator_groups:
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creator_groups = creator_groups.groupdict()
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info['uploader'] = info['creator'] = ' from '.join((creator_groups['creator_name'], creator_groups['organization_name']))
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info['uploader_id'] = creator_groups['profile_id']
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info['uploader_url'] = 'https://tube.switch.ch/profiles/' + info['uploader_id']
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parsed_media_entries = self._parse_html5_media_entries(url, webpage, video_id)[0]
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info['thumbnail'] = parsed_media_entries['thumbnail']
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info['formats'] = parsed_media_entries['formats']
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self._sort_formats(info['formats'])
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return info
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class SwitchTubeProfileIE(InfoExtractor):
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_VALID_URL = r'https?://tube\.switch\.ch/profiles/(?P<id>[\da-zA-Z]+)'
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IE_NAME = 'switchtube:profile'
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_TESTS = [{
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'url': 'https://tube.switch.ch/profiles/94248',
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'info_dict': {
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'id': '94248',
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'title': 'Wulfram Gerstner',
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'description': None,
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},
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'playlist_mincount': 94,
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}]
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@classmethod
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def suitable(cls, url):
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return False if SwitchTubeIE.suitable(url) else super(SwitchTubeProfileIE, cls).suitable(url)
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def _real_extract(self, url):
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channel_id = self._match_id(url)
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webpage = self._download_webpage(url, channel_id)
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channel_title = self._html_search_regex(r'(?s)<title\b[^>]*>(.+?)</title>', webpage, 'title', default=None)
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description = self._html_search_regex(r'''(?s)<div\b[^>]+class\s*=\s*("|')p-summary formatted\1[^>]+property\s*=\s*("|')dc:description\2[^>]*>\s*(.+?)\s*</div>''',
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webpage, 'description', default=None, group=3)
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entries = []
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next_page = None
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for current_page_number in itertools.count(1):
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if next_page:
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webpage = self._download_webpage(next_page, channel_id, note='Downloading page %d' % (current_page_number, ))
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for _, video_path, video_id, title in re.findall(
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r'''(?s)<a\b[^>]+\bhref\s*=\s*("|')(/videos/((?:(?!\1).)+?))\1[^>]*>\s*<div\b[^>]+\bclass\s*=\s*["']title\b[^>]+>(.+?)</div>''',
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webpage):
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video_url = urljoin(url, video_path)
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if video_url:
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entries.append(self.url_result(video_url, ie=SwitchTubeIE.ie_key(), video_id=video_id))
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next_page = self._search_regex(
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r'''<a\b[^>]+?\bhref\s*=\s*("|')(?P<path>/profiles/%s\?(?:(?!\1).)+)\1[^>]*>\s*Next\s*</a>''' % (channel_id,),
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webpage, 'next page', group='path', default=None)
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if next_page:
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next_page = urljoin(url, next_page)
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if not next_page:
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break
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return self.playlist_result(entries, channel_id, channel_title,
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description)
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class SwitchTubeChannelIE(InfoExtractor):
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_VALID_URL = r'https?://tube\.switch\.ch/channels/(?P<id>[\da-zA-Z]+)'
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IE_NAME = 'switchtube:channel'
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_TESTS = [{
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'url': 'https://tube.switch.ch/channels/1deb03e0',
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'info_dict': {
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'id': '1deb03e0',
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'title': 'CS-456 Artificial Neural Networks',
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'description': 'Class on Artificial Neural Networks and Reinforcement Learning designed for EPFL master students in CS and related disciplines.'
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},
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'playlist_mincount': 94,
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}]
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@classmethod
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def suitable(cls, url):
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return False if SwitchTubeIE.suitable(url) else super(SwitchTubeChannelIE, cls).suitable(url)
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def _real_extract(self, url):
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channel_id = self._match_id(url)
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entries = []
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for current_page_number in itertools.count(0):
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page_url = urljoin(url, '/channels/%s?order=episodes&page=%d' % (channel_id, current_page_number))
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webpage = self._download_webpage(page_url, channel_id, note='Downloading page %d' % (current_page_number + 1, ))
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if current_page_number == 0:
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channel_title = self._html_search_regex(r'(?s)<title\b[^>]*>(.+?)</title>', webpage, 'title', default=None)
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description = self._html_search_regex(r'''(?s)<div\b[^>]+class\s*=\s*("|')description formatted\1[^>]*>\s*<p>\s*(.+?)\s*</p>\s*</div>''',
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webpage, 'description', default=None, group=2)
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this_page_still_has_something = False
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for _, video_path, video_id in re.findall(
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r'''(?s)<a\b[^>]+\bhref\s*=\s*("|')(/videos/((?:(?!\1).)+?))\1[^>]*>''',
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webpage):
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video_url = urljoin(url, video_path)
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if video_url:
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this_page_still_has_something = True
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entries.append(self.url_result(video_url, ie=SwitchTubeIE.ie_key(), video_id=video_id))
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if not this_page_still_has_something:
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break
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return self.playlist_result(entries, channel_id, channel_title,
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description)
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