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chore(bigquery): use 3.6 for blacken session #10012

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merged 5 commits into from
Jan 8, 2020
Merged

chore(bigquery): use 3.6 for blacken session #10012

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6620b92
[CHANGE ME] Re-generated bigquery to pick up changes in the API or cl…
yoshi-automation Dec 24, 2019
b20a445
chore: use 3.6 for blacken session
busunkim96 Jan 8, 2020
e6d680a
chore: blacken
busunkim96 Jan 8, 2020
7468602
chore: add comment about why 3.6 is used
busunkim96 Jan 8, 2020
b75da10
chore: revert changes to metadata
busunkim96 Jan 8, 2020
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15 changes: 7 additions & 8 deletions bigquery/google/cloud/bigquery_v2/gapic/enums.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,14 +33,14 @@ class DataSplitMethod(enum.IntEnum):
AUTO_SPLIT (int): Splits data automatically: Uses NO\_SPLIT if the data size is small.
Otherwise uses RANDOM.
"""

DATA_SPLIT_METHOD_UNSPECIFIED = 0
RANDOM = 1
CUSTOM = 2
SEQUENTIAL = 3
NO_SPLIT = 4
AUTO_SPLIT = 5


class DistanceType(enum.IntEnum):
"""
Distance metric used to compute the distance between two points.
Expand All @@ -50,11 +50,11 @@ class DistanceType(enum.IntEnum):
EUCLIDEAN (int): Eculidean distance.
COSINE (int): Cosine distance.
"""

DISTANCE_TYPE_UNSPECIFIED = 0
EUCLIDEAN = 1
COSINE = 2


class LearnRateStrategy(enum.IntEnum):
"""
Indicates the learning rate optimization strategy to use.
Expand All @@ -64,11 +64,11 @@ class LearnRateStrategy(enum.IntEnum):
LINE_SEARCH (int): Use line search to determine learning rate.
CONSTANT (int): Use a constant learning rate.
"""

LEARN_RATE_STRATEGY_UNSPECIFIED = 0
LINE_SEARCH = 1
CONSTANT = 2


class LossType(enum.IntEnum):
"""
Loss metric to evaluate model training performance.
Expand All @@ -78,11 +78,11 @@ class LossType(enum.IntEnum):
MEAN_SQUARED_LOSS (int): Mean squared loss, used for linear regression.
MEAN_LOG_LOSS (int): Mean log loss, used for logistic regression.
"""

LOSS_TYPE_UNSPECIFIED = 0
MEAN_SQUARED_LOSS = 1
MEAN_LOG_LOSS = 2


class ModelType(enum.IntEnum):
"""
Indicates the type of the Model.
Expand All @@ -94,13 +94,13 @@ class ModelType(enum.IntEnum):
KMEANS (int): K-means clustering model.
TENSORFLOW (int): [Beta] An imported TensorFlow model.
"""

MODEL_TYPE_UNSPECIFIED = 0
LINEAR_REGRESSION = 1
LOGISTIC_REGRESSION = 2
KMEANS = 3
TENSORFLOW = 6


class OptimizationStrategy(enum.IntEnum):
"""
Indicates the optimization strategy used for training.
Expand All @@ -110,11 +110,11 @@ class OptimizationStrategy(enum.IntEnum):
BATCH_GRADIENT_DESCENT (int): Uses an iterative batch gradient descent algorithm.
NORMAL_EQUATION (int): Uses a normal equation to solve linear regression problem.
"""

OPTIMIZATION_STRATEGY_UNSPECIFIED = 0
BATCH_GRADIENT_DESCENT = 1
NORMAL_EQUATION = 2


class KmeansEnums(object):
class KmeansInitializationMethod(enum.IntEnum):
"""
Expand All @@ -127,7 +127,6 @@ class KmeansInitializationMethod(enum.IntEnum):
CUSTOM (int): Initializes the centroids using data specified in
kmeans\_initialization\_column.
"""

KMEANS_INITIALIZATION_METHOD_UNSPECIFIED = 0
RANDOM = 1
CUSTOM = 2
Expand All @@ -154,7 +153,6 @@ class TypeKind(enum.IntEnum):
STRUCT (int): Encoded as a list with fields of type Type.struct\_type[i]. List is used
because a JSON object cannot have duplicate field names.
"""

TYPE_KIND_UNSPECIFIED = 0
INT64 = 2
BOOL = 5
Expand All @@ -169,3 +167,4 @@ class TypeKind(enum.IntEnum):
NUMERIC = 23
ARRAY = 16
STRUCT = 17

115 changes: 47 additions & 68 deletions bigquery/google/cloud/bigquery_v2/proto/encryption_config_pb2.py
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1 change: 1 addition & 0 deletions bigquery/google/cloud/bigquery_v2/proto/encryption_config_pb2_grpc.py
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Original file line number Diff line number Diff line change
@@ -1,2 +1,3 @@
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc

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