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35 lines
1.2 KiB
35 lines
1.2 KiB
# coding: utf-8 |
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from __future__ import unicode_literals |
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from .common import InfoExtractor |
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class GPUTechConfIE(InfoExtractor): |
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_VALID_URL = r'https?://on-demand\.gputechconf\.com/gtc/2015/video/S(?P<id>\d+)\.html' |
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_TEST = { |
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'url': 'http://on-demand.gputechconf.com/gtc/2015/video/S5156.html', |
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'md5': 'a8862a00a0fd65b8b43acc5b8e33f798', |
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'info_dict': { |
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'id': '5156', |
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'ext': 'mp4', |
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'title': 'Coordinating More Than 3 Million CUDA Threads for Social Network Analysis', |
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'duration': 1219, |
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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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root_path = self._search_regex( |
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r'var\s+rootPath\s*=\s*"([^"]+)', webpage, 'root path', |
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default='http://evt.dispeak.com/nvidia/events/gtc15/') |
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xml_file_id = self._search_regex( |
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r'var\s+xmlFileId\s*=\s*"([^"]+)', webpage, 'xml file id') |
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return { |
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'_type': 'url_transparent', |
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'id': video_id, |
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'url': '%sxml/%s.xml' % (root_path, xml_file_id), |
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'ie_key': 'DigitallySpeaking', |
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}
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