Apply Black 20.8b1 formatting

This commit is contained in:
Seth Michael Larson 2020-08-27 15:19:56 -05:00 committed by GitHub
parent 1d6311164e
commit 1a8a301cd6
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GPG Key ID: 4AEE18F83AFDEB23
7 changed files with 24 additions and 16 deletions

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@ -464,14 +464,14 @@ class FieldMappings:
--------------------------------------------
```
Pandas dtype Python type NumPy type Usage
object str string_, unicode_ Text
int64 int int_, int8, int16, int32, int64, uint8, uint16, uint32, uint64 Integer numbers
float64 float float_, float16, float32, float64 Floating point numbers
bool bool bool_ True/False values
datetime64 NA datetime64[ns] Date and time values
timedelta[ns] NA NA Differences between two datetimes
category NA NA Finite list of text values
Pandas dtype Python type NumPy type Usage
object str string_, unicode_ Text
int64 int int_, int8, int16, int32, int64, uint8, uint16, uint32, uint64 Integer numbers
float64 float float_, float16, float32, float64 Floating point numbers
bool bool bool_ True/False values
datetime64 NA datetime64[ns] Date and time values
timedelta[ns] NA NA Differences between two datetimes
category NA NA Finite list of text values
```
"""
es_dtype = None

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@ -218,7 +218,8 @@ class ImportedMLModel(MLModel):
body["definition"] = serializer.serialize_model()
self._client.ml.put_trained_model(
model_id=self._model_id, body=body,
model_id=self._model_id,
body=body,
)
def predict(self, X: Union[List[float], List[List[float]]]) -> np.ndarray:

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@ -93,7 +93,8 @@ class LGBMForestTransformer(ModelTransformer):
self, tree_id: int, node_id: int, tree_node_json_obj: Dict[str, Any]
) -> TreeNode:
return TreeNode(
node_idx=node_id, leaf_value=[float(tree_node_json_obj["leaf_value"])],
node_idx=node_id,
leaf_value=[float(tree_node_json_obj["leaf_value"])],
)
def build_tree(self, tree_id: int, tree_json_obj: Dict[str, Any]) -> Tree:

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@ -137,7 +137,12 @@ class Query:
self._aggs[name] = agg
def hist_aggs(
self, name: str, field: str, min_value: Any, max_value: Any, num_bins: int,
self,
name: str,
field: str,
min_value: Any,
max_value: Any,
num_bins: int,
) -> None:
"""
Add histogram agg e.g.

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@ -30,7 +30,8 @@ ELASTICSEARCH_HOST = os.environ.get("ELASTICSEARCH_HOST") or "localhost"
TEST_SUITE = os.environ.get("TEST_SUITE", "xpack")
if TEST_SUITE == "xpack":
ES_TEST_CLIENT = Elasticsearch(
ELASTICSEARCH_HOST, http_auth=("elastic", "changeme"),
ELASTICSEARCH_HOST,
http_auth=("elastic", "changeme"),
)
else:
ES_TEST_CLIENT = Elasticsearch(ELASTICSEARCH_HOST)

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@ -36,7 +36,7 @@ class TestDataFrameDateTime(TestData):
@classmethod
def setup_class(cls):
""" setup any state specific to the execution of the given class (which
"""setup any state specific to the execution of the given class (which
usually contains tests).
"""
es = ES_TEST_CLIENT
@ -65,7 +65,7 @@ class TestDataFrameDateTime(TestData):
@classmethod
def teardown_class(cls):
""" teardown any state that was previously setup with a call to
"""teardown any state that was previously setup with a call to
setup_class.
"""

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@ -29,7 +29,7 @@ class TestDateTime(TestData):
@classmethod
def setup_class(cls):
""" setup any state specific to the execution of the given class (which
"""setup any state specific to the execution of the given class (which
usually contains tests).
"""
es = ES_TEST_CLIENT
@ -58,7 +58,7 @@ class TestDateTime(TestData):
@classmethod
def teardown_class(cls):
""" teardown any state that was previously setup with a call to
"""teardown any state that was previously setup with a call to
setup_class.
"""