Added some optimalizations
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@ -36,9 +36,13 @@ def independent_worker(result_queue, filename: str, timeout: float, target_url:
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prepared_curl.setopt(pycurl.URL, target_url)
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prepared_curl.setopt(pycurl.URL, target_url)
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prepared_curl.setopt(pycurl.SSL_VERIFYPEER, 0)
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prepared_curl.setopt(pycurl.SSL_VERIFYPEER, 0)
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prepared_curl.setopt(pycurl.SSL_VERIFYHOST, 0)
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prepared_curl.setopt(pycurl.SSL_VERIFYHOST, 0)
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prepared_curl.setopt(pycurl.SSL_VERIFYSTATUS, 0)
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# prepared_curl.setopt(pycurl.FORBID_REUSE, 0)
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# prepared_curl.setopt(pycurl.FORBID_REUSE, 0)
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prepared_curl.setopt(pycurl.HTTP_VERSION, pycurl.CURL_HTTP_VERSION_2_0)
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prepared_curl.setopt(pycurl.HTTP_VERSION, pycurl.CURL_HTTP_VERSION_2_0)
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prepared_curl.setopt(pycurl.WRITEFUNCTION, lambda _: None)
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prepared_curl.setopt(pycurl.WRITEFUNCTION, lambda _: None)
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prepared_curl.setopt(pycurl.NOSIGNAL, 1)
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prepared_curl.setopt(pycurl.TCP_FASTOPEN, 1)
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prepared_curl.setopt(pycurl.MAXCONNECTS, 500) # this does not change much, as we use only one connection per worker
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completed_jobs_list = blist() # O(log n) insert instead of python's O(n)
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completed_jobs_list = blist() # O(log n) insert instead of python's O(n)
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@ -51,6 +55,7 @@ def independent_worker(result_queue, filename: str, timeout: float, target_url:
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jobid = random.randint(0, 2147483647)
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jobid = random.randint(0, 2147483647)
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prepared_curl.setopt(pycurl.HTTPPOST, [
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prepared_curl.setopt(pycurl.HTTPPOST, [
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('file', (
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('file', (
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pycurl.FORM_CONTENTTYPE, 'audio/wave',
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pycurl.FORM_FILE, filename # Copying buffers from Python memory would be even slower... trust me
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pycurl.FORM_FILE, filename # Copying buffers from Python memory would be even slower... trust me
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)),
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)),
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('description', (
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('description', (
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