samples.snippets.create_training_pipeline_tabular_regression_sample_test: test_ucaip_generated_create_training_pipeline_sample failed #413

flaky-bot · 2021-05-19T10:44:53Z

This test failed!

To configure my behavior, see the Flaky Bot documentation.

If I'm commenting on this issue too often, add the flakybot: quiet label and
I will stop commenting.

commit: 7b7c950
buildURL: Build Status, Sponge
status: failed

Test output

shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/5986541746077564928'}
pipeline_client = 
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(
        name=shared_state["training_pipeline_name"]
    )

    # Waiting for training pipeline to be in CANCELLED state
    helpers.wait_for_job_state(
        get_job_method=pipeline_client.get_training_pipeline,


      name=shared_state["training_pipeline_name"],


    )

conftest.py:168:

get_job_method = <bound method PipelineServiceClient.get_training_pipeline of <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7f8064052990>>

name = 'projects/580378083368/locations/us-central1/trainingPipelines/5986541746077564928'

expected_state = 'CANCELLED', timeout = 90, freq = 1.5
def wait_for_job_state(
    get_job_method: Callable[[str], "proto.Message"],  # noqa: F821
    name: str,
    expected_state: str = "CANCELLED",
    timeout: int = 90,
    freq: float = 1.5,
) -> None:
    """ Waits until the Job state of provided resource name is a particular state.

    Args:
        get_job_method: Callable[[str], "proto.Message"]
            Required. The GAPIC getter method to poll. Takes 'name' parameter
            and has a 'state' attribute in its response.
        name (str):
            Required. Complete uCAIP resource name to pass to get_job_method
        expected_state (str):
            The state at which this method will stop waiting.
            Default is "CANCELLED".
        timeout (int):
            Maximum number of seconds to wait for expected_state. If the job
            state is not expected_state within timeout, a TimeoutError will be raised.
            Default is 90 seconds.
        freq (float):
            Number of seconds between calls to get_job_method.
            Default is 1.5 seconds.
    """

    for _ in range(int(timeout / freq)):
        response = get_job_method(name=name)
        if expected_state in str(response.state):
            return None
        time.sleep(freq)

    raise TimeoutError(


      f"Job state did not become {expected_state} within {timeout} seconds"


        "\nTry increasing the timeout in sample test"
        f"\nLast recorded state: {response.state}"
    )

E       TimeoutError: Job state did not become CANCELLED within 90 seconds

E       Try increasing the timeout in sample test

E       Last recorded state: 5
helpers.py:55: TimeoutError

The text was updated successfully, but these errors were encountered:

flaky-bot · 2021-05-20T10:39:59Z

commit: b2ed51e
buildURL: Build Status, Sponge
status: failed

Test output

shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/6609727344514957312'}
pipeline_client = 
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(
        name=shared_state["training_pipeline_name"]
    )

    # Waiting for training pipeline to be in CANCELLED state
    helpers.wait_for_job_state(
        get_job_method=pipeline_client.get_training_pipeline,


      name=shared_state["training_pipeline_name"],


    )

conftest.py:168:

get_job_method = <bound method PipelineServiceClient.get_training_pipeline of <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7fb5226b80d0>>

name = 'projects/580378083368/locations/us-central1/trainingPipelines/6609727344514957312'

expected_state = 'CANCELLED', timeout = 90, freq = 1.5
def wait_for_job_state(
    get_job_method: Callable[[str], "proto.Message"],  # noqa: F821
    name: str,
    expected_state: str = "CANCELLED",
    timeout: int = 90,
    freq: float = 1.5,
) -> None:
    """ Waits until the Job state of provided resource name is a particular state.

    Args:
        get_job_method: Callable[[str], "proto.Message"]
            Required. The GAPIC getter method to poll. Takes 'name' parameter
            and has a 'state' attribute in its response.
        name (str):
            Required. Complete uCAIP resource name to pass to get_job_method
        expected_state (str):
            The state at which this method will stop waiting.
            Default is "CANCELLED".
        timeout (int):
            Maximum number of seconds to wait for expected_state. If the job
            state is not expected_state within timeout, a TimeoutError will be raised.
            Default is 90 seconds.
        freq (float):
            Number of seconds between calls to get_job_method.
            Default is 1.5 seconds.
    """

    for _ in range(int(timeout / freq)):
        response = get_job_method(name=name)
        if expected_state in str(response.state):
            return None
        time.sleep(freq)

    raise TimeoutError(


      f"Job state did not become {expected_state} within {timeout} seconds"


        "\nTry increasing the timeout in sample test"
        f"\nLast recorded state: {response.state}"
    )

E       TimeoutError: Job state did not become CANCELLED within 90 seconds

E       Try increasing the timeout in sample test

E       Last recorded state: 5
helpers.py:55: TimeoutError

flaky-bot · 2021-05-21T10:37:54Z

commit: 15552ce
buildURL: Build Status, Sponge
status: failed

Test output

shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/4639121032563654656'}
pipeline_client = 
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(
        name=shared_state["training_pipeline_name"]
    )

    # Waiting for training pipeline to be in CANCELLED state
    helpers.wait_for_job_state(
        get_job_method=pipeline_client.get_training_pipeline,


      name=shared_state["training_pipeline_name"],


    )

conftest.py:168:

get_job_method = <bound method PipelineServiceClient.get_training_pipeline of <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7f5f93780f90>>

name = 'projects/580378083368/locations/us-central1/trainingPipelines/4639121032563654656'

expected_state = 'CANCELLED', timeout = 90, freq = 1.5
def wait_for_job_state(
    get_job_method: Callable[[str], "proto.Message"],  # noqa: F821
    name: str,
    expected_state: str = "CANCELLED",
    timeout: int = 90,
    freq: float = 1.5,
) -> None:
    """ Waits until the Job state of provided resource name is a particular state.

    Args:
        get_job_method: Callable[[str], "proto.Message"]
            Required. The GAPIC getter method to poll. Takes 'name' parameter
            and has a 'state' attribute in its response.
        name (str):
            Required. Complete uCAIP resource name to pass to get_job_method
        expected_state (str):
            The state at which this method will stop waiting.
            Default is "CANCELLED".
        timeout (int):
            Maximum number of seconds to wait for expected_state. If the job
            state is not expected_state within timeout, a TimeoutError will be raised.
            Default is 90 seconds.
        freq (float):
            Number of seconds between calls to get_job_method.
            Default is 1.5 seconds.
    """

    for _ in range(int(timeout / freq)):
        response = get_job_method(name=name)
        if expected_state in str(response.state):
            return None
        time.sleep(freq)

    raise TimeoutError(


      f"Job state did not become {expected_state} within {timeout} seconds"


        "\nTry increasing the timeout in sample test"
        f"\nLast recorded state: {response.state}"
    )

E       TimeoutError: Job state did not become CANCELLED within 90 seconds

E       Try increasing the timeout in sample test

E       Last recorded state: 5
helpers.py:55: TimeoutError

flaky-bot · 2021-05-22T10:35:28Z

commit: f40f322
buildURL: Build Status, Sponge
status: failed

Test output

args = (name: "projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736"
,)
kwargs = {'metadata': [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.0')]}
@six.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
    try:


      return callable_(*args, **kwargs)


.nox/py-3-7/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:67:

self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f0e4d13b250>

request = name: "projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736"
timeout = None

metadata = [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.0')]

credentials = None, wait_for_ready = None, compression = None
def __call__(self,
             request,
             timeout=None,
             metadata=None,
             credentials=None,
             wait_for_ready=None,
             compression=None):
    state, call, = self._blocking(request, timeout, metadata, credentials,
                                  wait_for_ready, compression)


  return _end_unary_response_blocking(state, call, False, None)


.nox/py-3-7/lib/python3.7/site-packages/grpc/_channel.py:946:

state = <grpc._channel._RPCState object at 0x7f0e4f453f10>

call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f0e4f4180a0>

with_call = False, deadline = None
def _end_unary_response_blocking(state, call, with_call, deadline):
    if state.code is grpc.StatusCode.OK:
        if with_call:
            rendezvous = _MultiThreadedRendezvous(state, call, None, deadline)
            return state.response, rendezvous
        else:
            return state.response
    else:


      raise _InactiveRpcError(state)


E           grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:

E           	status = StatusCode.FAILED_PRECONDITION

E           	details = "The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736" is in state PIPELINE_STATE_FAILED and cannot be canceled."

E           	debug_error_string = "{"created":"@1621678195.348348367","description":"Error received from peer ipv4:74.125.199.95:443","file":"src/core/lib/surface/call.cc","file_line":1066,"grpc_message":"The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736" is in state PIPELINE_STATE_FAILED and cannot be canceled.","grpc_status":9}"

E           >
.nox/py-3-7/lib/python3.7/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736'}

pipeline_client = <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7f0e4d102550>
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(


      name=shared_state["training_pipeline_name"]


    )

conftest.py:162:

../../google/cloud/aiplatform_v1/services/pipeline_service/client.py:803: in cancel_training_pipeline

request, retry=retry, timeout=timeout, metadata=metadata,

.nox/py-3-7/lib/python3.7/site-packages/google/api_core/gapic_v1/method.py:145: in call

return wrapped_func(*args, **kwargs)

args = (name: "projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736"

,)

kwargs = {'metadata': [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.0')]}
@six.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
    try:
        return callable_(*args, **kwargs)
    except grpc.RpcError as exc:


      six.raise_from(exceptions.from_grpc_error(exc), exc)


E           google.api_core.exceptions.FailedPrecondition: 400 The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/889874342777716736" is in state PIPELINE_STATE_FAILED and cannot be canceled.
.nox/py-3-7/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:69: FailedPrecondition

flaky-bot · 2021-05-27T10:41:12Z

commit: 987ce3e
buildURL: Build Status, Sponge
status: failed

Test output

args = (name: "projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000"
,)
kwargs = {'metadata': [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.1')]}
@six.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
    try:


      return callable_(*args, **kwargs)


.nox/py-3-7/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:67:

self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fd4d02b1350>

request = name: "projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000"
timeout = None

metadata = [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.1')]

credentials = None, wait_for_ready = None, compression = None
def __call__(self,
             request,
             timeout=None,
             metadata=None,
             credentials=None,
             wait_for_ready=None,
             compression=None):
    state, call, = self._blocking(request, timeout, metadata, credentials,
                                  wait_for_ready, compression)


  return _end_unary_response_blocking(state, call, False, None)


.nox/py-3-7/lib/python3.7/site-packages/grpc/_channel.py:946:

state = <grpc._channel._RPCState object at 0x7fd4d0359b90>

call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fd4d008de60>

with_call = False, deadline = None
def _end_unary_response_blocking(state, call, with_call, deadline):
    if state.code is grpc.StatusCode.OK:
        if with_call:
            rendezvous = _MultiThreadedRendezvous(state, call, None, deadline)
            return state.response, rendezvous
        else:
            return state.response
    else:


      raise _InactiveRpcError(state)


E           grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:

E           	status = StatusCode.FAILED_PRECONDITION

E           	details = "The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000" is in state PIPELINE_STATE_FAILED and cannot be canceled."

E           	debug_error_string = "{"created":"@1622110295.414087554","description":"Error received from peer ipv4:74.125.142.95:443","file":"src/core/lib/surface/call.cc","file_line":1066,"grpc_message":"The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000" is in state PIPELINE_STATE_FAILED and cannot be canceled.","grpc_status":9}"

E           >
.nox/py-3-7/lib/python3.7/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000'}

pipeline_client = <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7fd4d01b9b10>
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(


      name=shared_state["training_pipeline_name"]


    )

conftest.py:162:

../../google/cloud/aiplatform_v1/services/pipeline_service/client.py:803: in cancel_training_pipeline

request, retry=retry, timeout=timeout, metadata=metadata,

.nox/py-3-7/lib/python3.7/site-packages/google/api_core/gapic_v1/method.py:145: in call

return wrapped_func(*args, **kwargs)

args = (name: "projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000"

,)

kwargs = {'metadata': [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.1')]}
@six.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
    try:
        return callable_(*args, **kwargs)
    except grpc.RpcError as exc:


      six.raise_from(exceptions.from_grpc_error(exc), exc)


E           google.api_core.exceptions.FailedPrecondition: 400 The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/7330444022382592000" is in state PIPELINE_STATE_FAILED and cannot be canceled.
.nox/py-3-7/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:69: FailedPrecondition

flaky-bot · 2021-06-02T10:40:40Z

Looks like this issue is flaky. 😟

I'm going to leave this open and stop commenting.

A human should fix and close this.

commit: fdc968f
buildURL: Build Status, Sponge
status: failed

Test output

args = (name: "projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776"
,)
kwargs = {'metadata': [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.1')]}
@six.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
    try:


      return callable_(*args, **kwargs)


.nox/py-3-7/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:67:

self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f79af490190>

request = name: "projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776"
timeout = None

metadata = [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.1')]

credentials = None, wait_for_ready = None, compression = None
def __call__(self,
             request,
             timeout=None,
             metadata=None,
             credentials=None,
             wait_for_ready=None,
             compression=None):
    state, call, = self._blocking(request, timeout, metadata, credentials,
                                  wait_for_ready, compression)


  return _end_unary_response_blocking(state, call, False, None)


.nox/py-3-7/lib/python3.7/site-packages/grpc/_channel.py:946:

state = <grpc._channel._RPCState object at 0x7f79b58d5bd0>

call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f79af482dc0>

with_call = False, deadline = None
def _end_unary_response_blocking(state, call, with_call, deadline):
    if state.code is grpc.StatusCode.OK:
        if with_call:
            rendezvous = _MultiThreadedRendezvous(state, call, None, deadline)
            return state.response, rendezvous
        else:
            return state.response
    else:


      raise _InactiveRpcError(state)


E           grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:

E           	status = StatusCode.FAILED_PRECONDITION

E           	details = "The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776" is in state PIPELINE_STATE_FAILED and cannot be canceled."

E           	debug_error_string = "{"created":"@1622628695.039564708","description":"Error received from peer ipv4:74.125.20.95:443","file":"src/core/lib/surface/call.cc","file_line":1066,"grpc_message":"The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776" is in state PIPELINE_STATE_FAILED and cannot be canceled.","grpc_status":9}"

E           >
.nox/py-3-7/lib/python3.7/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776'}

pipeline_client = <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7f79af4a96d0>
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(


      name=shared_state["training_pipeline_name"]


    )

conftest.py:162:

../../google/cloud/aiplatform_v1/services/pipeline_service/client.py:803: in cancel_training_pipeline

request, retry=retry, timeout=timeout, metadata=metadata,

.nox/py-3-7/lib/python3.7/site-packages/google/api_core/gapic_v1/method.py:145: in call

return wrapped_func(*args, **kwargs)

args = (name: "projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776"

,)

kwargs = {'metadata': [('x-goog-request-params', 'name=projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776'), ('x-goog-api-client', 'gl-python/3.7.10 grpc/1.38.0 gax/1.28.0 gapic/1.0.1')]}
@six.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
    try:
        return callable_(*args, **kwargs)
    except grpc.RpcError as exc:


      six.raise_from(exceptions.from_grpc_error(exc), exc)


E           google.api_core.exceptions.FailedPrecondition: 400 The TrainingPipeline "projects/580378083368/locations/us-central1/trainingPipelines/5224742915749707776" is in state PIPELINE_STATE_FAILED and cannot be canceled.
.nox/py-3-7/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:69: FailedPrecondition

munkhuushmgl · 2021-06-07T17:25:30Z

Quotas have increased. This should be fixed now.

flaky-bot · 2021-06-11T10:48:31Z

Oops! Looks like this issue is still flaky. It failed again. 😬

I reopened the issue, but a human will need to close it again.

commit: 481d172
buildURL: Build Status, Sponge
status: failed

Test output

shared_state = {'training_pipeline_name': 'projects/580378083368/locations/us-central1/trainingPipelines/3442232256985300992'}
pipeline_client = 
@pytest.fixture()
def teardown_training_pipeline(shared_state, pipeline_client):
    yield

    pipeline_client.cancel_training_pipeline(
        name=shared_state["training_pipeline_name"]
    )

    # Waiting for training pipeline to be in CANCELLED state
    helpers.wait_for_job_state(
        get_job_method=pipeline_client.get_training_pipeline,


      name=shared_state["training_pipeline_name"],


    )

conftest.py:168:

get_job_method = <bound method PipelineServiceClient.get_training_pipeline of <google.cloud.aiplatform_v1.services.pipeline_service.client.PipelineServiceClient object at 0x7efd164bd210>>

name = 'projects/580378083368/locations/us-central1/trainingPipelines/3442232256985300992'

expected_state = 'CANCELLED', timeout = 90, freq = 1.5
def wait_for_job_state(
    get_job_method: Callable[[str], "proto.Message"],  # noqa: F821
    name: str,
    expected_state: str = "CANCELLED",
    timeout: int = 90,
    freq: float = 1.5,
) -> None:
    """ Waits until the Job state of provided resource name is a particular state.

    Args:
        get_job_method: Callable[[str], "proto.Message"]
            Required. The GAPIC getter method to poll. Takes 'name' parameter
            and has a 'state' attribute in its response.
        name (str):
            Required. Complete uCAIP resource name to pass to get_job_method
        expected_state (str):
            The state at which this method will stop waiting.
            Default is "CANCELLED".
        timeout (int):
            Maximum number of seconds to wait for expected_state. If the job
            state is not expected_state within timeout, a TimeoutError will be raised.
            Default is 90 seconds.
        freq (float):
            Number of seconds between calls to get_job_method.
            Default is 1.5 seconds.
    """

    for _ in range(int(timeout / freq)):
        response = get_job_method(name=name)
        if expected_state in str(response.state):
            return None
        time.sleep(freq)

    raise TimeoutError(


      f"Job state did not become {expected_state} within {timeout} seconds"


        "\nTry increasing the timeout in sample test"
        f"\nLast recorded state: {response.state}"
    )

E       TimeoutError: Job state did not become CANCELLED within 90 seconds

E       Try increasing the timeout in sample test

E       Last recorded state: 6
helpers.py:55: TimeoutError

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test: disabled tests to reduce the cost & resolve quota issues #508

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test: disabled tests to reduce the cost & resolve quota issues #508

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samples.snippets.create_training_pipeline_tabular_regression_sample_test: test_ucaip_generated_create_training_pipeline_sample failed #550

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samples.snippets.create_training_pipeline_tabular_regression_sample_test: test_ucaip_generated_create_training_pipeline_sample failed #413

samples.snippets.create_training_pipeline_tabular_regression_sample_test: test_ucaip_generated_create_training_pipeline_sample failed #413

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samples.snippets.create_training_pipeline_tabular_regression_sample_test: test_ucaip_generated_create_training_pipeline_sample failed #413

samples.snippets.create_training_pipeline_tabular_regression_sample_test: test_ucaip_generated_create_training_pipeline_sample failed #413

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