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synced 2025-07-11 00:02:14 +08:00
Apply Black 20.8b1 formatting
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1d6311164e
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@ -464,14 +464,14 @@ class FieldMappings:
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--------------------------------------------
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```
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Pandas dtype Python type NumPy type Usage
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object str string_, unicode_ Text
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int64 int int_, int8, int16, int32, int64, uint8, uint16, uint32, uint64 Integer numbers
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float64 float float_, float16, float32, float64 Floating point numbers
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bool bool bool_ True/False values
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datetime64 NA datetime64[ns] Date and time values
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timedelta[ns] NA NA Differences between two datetimes
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category NA NA Finite list of text values
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Pandas dtype Python type NumPy type Usage
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object str string_, unicode_ Text
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int64 int int_, int8, int16, int32, int64, uint8, uint16, uint32, uint64 Integer numbers
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float64 float float_, float16, float32, float64 Floating point numbers
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bool bool bool_ True/False values
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datetime64 NA datetime64[ns] Date and time values
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timedelta[ns] NA NA Differences between two datetimes
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category NA NA Finite list of text values
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```
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"""
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es_dtype = None
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@ -218,7 +218,8 @@ class ImportedMLModel(MLModel):
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body["definition"] = serializer.serialize_model()
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self._client.ml.put_trained_model(
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model_id=self._model_id, body=body,
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model_id=self._model_id,
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body=body,
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)
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def predict(self, X: Union[List[float], List[List[float]]]) -> np.ndarray:
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@ -93,7 +93,8 @@ class LGBMForestTransformer(ModelTransformer):
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self, tree_id: int, node_id: int, tree_node_json_obj: Dict[str, Any]
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) -> TreeNode:
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return TreeNode(
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node_idx=node_id, leaf_value=[float(tree_node_json_obj["leaf_value"])],
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node_idx=node_id,
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leaf_value=[float(tree_node_json_obj["leaf_value"])],
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)
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def build_tree(self, tree_id: int, tree_json_obj: Dict[str, Any]) -> Tree:
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@ -137,7 +137,12 @@ class Query:
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self._aggs[name] = agg
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def hist_aggs(
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self, name: str, field: str, min_value: Any, max_value: Any, num_bins: int,
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self,
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name: str,
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field: str,
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min_value: Any,
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max_value: Any,
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num_bins: int,
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) -> None:
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"""
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Add histogram agg e.g.
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@ -30,7 +30,8 @@ ELASTICSEARCH_HOST = os.environ.get("ELASTICSEARCH_HOST") or "localhost"
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TEST_SUITE = os.environ.get("TEST_SUITE", "xpack")
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if TEST_SUITE == "xpack":
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ES_TEST_CLIENT = Elasticsearch(
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ELASTICSEARCH_HOST, http_auth=("elastic", "changeme"),
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ELASTICSEARCH_HOST,
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http_auth=("elastic", "changeme"),
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)
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else:
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ES_TEST_CLIENT = Elasticsearch(ELASTICSEARCH_HOST)
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@ -36,7 +36,7 @@ class TestDataFrameDateTime(TestData):
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@classmethod
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def setup_class(cls):
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""" setup any state specific to the execution of the given class (which
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"""setup any state specific to the execution of the given class (which
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usually contains tests).
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"""
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es = ES_TEST_CLIENT
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@ -65,7 +65,7 @@ class TestDataFrameDateTime(TestData):
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@classmethod
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def teardown_class(cls):
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""" teardown any state that was previously setup with a call to
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"""teardown any state that was previously setup with a call to
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setup_class.
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"""
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@ -29,7 +29,7 @@ class TestDateTime(TestData):
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@classmethod
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def setup_class(cls):
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""" setup any state specific to the execution of the given class (which
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"""setup any state specific to the execution of the given class (which
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usually contains tests).
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"""
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es = ES_TEST_CLIENT
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@ -58,7 +58,7 @@ class TestDateTime(TestData):
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@classmethod
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def teardown_class(cls):
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""" teardown any state that was previously setup with a call to
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"""teardown any state that was previously setup with a call to
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setup_class.
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"""
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