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47aa73e
1
Parent(s):
03e519a
Update aggregate_server_json.py
Browse files- aggregate_server_json.py +2 -2
aggregate_server_json.py
CHANGED
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@@ -253,7 +253,6 @@ class AggregateNER:
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return ret_obj
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else:
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#if we come here consolidated is same as cs prediction. So we try to either use ci or the second cs prediction if ci is out of domain
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print("***** here 1")
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if (m1 != m1_ci):
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#CS and CI are not same
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if (is_ci_included):
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@@ -299,7 +298,8 @@ class AggregateNER:
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is_cs_included = True if (m2_cs in servers_arr[server_index]["precedence"]) else False
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is_cs_included = True #Disabling cs included check. If prediction above threshold is cross prediction, then letting it through
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assert (m2_cs != m1)
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if (
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ret_obj = results[server_index]["ner"][run_index].copy()
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dummy,prefix = prefix_strip(ret_obj["e"])
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n1 = flip_category(orig_cs_second_entity)
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return ret_obj
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else:
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#if we come here consolidated is same as cs prediction. So we try to either use ci or the second cs prediction if ci is out of domain
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if (m1 != m1_ci):
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#CS and CI are not same
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if (is_ci_included):
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is_cs_included = True if (m2_cs in servers_arr[server_index]["precedence"]) else False
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is_cs_included = True #Disabling cs included check. If prediction above threshold is cross prediction, then letting it through
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assert (m2_cs != m1)
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+
if (True):
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#if (is_cs_included and self.check_if_entity_in_arr(m2_cs,ret_arr)):
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ret_obj = results[server_index]["ner"][run_index].copy()
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dummy,prefix = prefix_strip(ret_obj["e"])
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n1 = flip_category(orig_cs_second_entity)
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