kubectl get thirdpartyresource --all-namespaces -o yaml > tprs.yaml
kubectl delete -f tprs.yaml

After upgrading to 1.3.0, re-register the third party resource objects at the root scope (using a 1.3 server and client):

kubectl create -f tprs.yaml

#### kubectl

# (1)
FROM python:3.9 as requirements-stage

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)

# (1)
FROM python:3.9 as requirements-stage

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)

  dependencies:
    function-bind "^1.1.1"

he@1.2.0:
  version "1.2.0"
  resolved "https://registry.yarnpkg.com/he/-/he-1.2.0.tgz#84ae65fa7eafb165fddb61566ae14baf05664f0f"
  integrity sha512-F/1DnUGPopORZi0ni+CvrCgHQ5FyEAHRLSApuYWMmrbSwoN2Mn/7k+Gl38gJnR7yyDZk6WLXwiGod1JOWNDKGw==

http-errors@2.0.0:
  version "2.0.0"

    else:
        url += "/default3"
    url += "?level3=foo"
    response = client.get(url)
    assert response.json() == "foo"
    assert (
        response.headers["content-type"] == f"application/x-level-{content_type_level}"
    )
    assert "x-level0" in response.headers
    assert not override1 or "x-level1" in response.headers
    assert not override2 or "x-level2" in response.headers

github.com/charmbracelet/bubbletea v0.27.1/go.mod h1:xc4gm5yv+7tbniEvQ0naiG9P3fzYhk16cTgDZQQW6YE=
github.com/charmbracelet/lipgloss v0.13.0 h1:4X3PPeoWEDCMvzDvGmTajSyYPcZM4+y8sCA/SsA3cjw=
github.com/charmbracelet/lipgloss v0.13.0/go.mod h1:nw4zy0SBX/F/eAO1cWdcvy6qnkDUxr8Lw7dvFrAIbbY=
github.com/charmbracelet/x/ansi v0.2.3 h1:VfFN0NUpcjBRd4DnKfRaIRo53KRgey/nhOoEqosGDEY=
github.com/charmbracelet/x/ansi v0.2.3/go.mod h1:dk73KoMTT5AX5BsX0KrqhsTqAnhZZoCBjs7dGWp4Ktw=

`my-release`, get the values using the command: ```bash helm get values my-release > old_values.yaml ``` Then change the field `image.tag` in `old_values.yaml` file with MinIO image tag you want to use. Now update the chart using ```bash helm upgrade -f old_values.yaml my-release minio/minio ``` Default upgrade strategies are specified in the `values.yaml` file. Update these fields if you'd like to use a different strategy. ### Configuration Refer the [Values file](./values.yaml) for all the possible...

`my-release`, get the values using the command: ```bash helm get values my-release > old_values.yaml ``` Then change the field `image.tag` in `old_values.yaml` file with MinIO image tag you want to use. Now update the chart using ```bash helm upgrade -f old_values.yaml my-release minio/minio ``` Default upgrade strategies are specified in the `values.yaml` file. Update these fields if you'd like to use a different strategy. ### Configuration Refer the [Values file](./values.yaml) for all the possible...

          for (int i = 0; i < attr->list().s_size();
               ++i) { metadata.total_size += attr->list().s(i).size(); });
      LIST_CASE(i, TF_ATTR_INT);
      LIST_CASE(f, TF_ATTR_FLOAT);
      LIST_CASE(b, TF_ATTR_BOOL);
      LIST_CASE(type, TF_ATTR_TYPE);
      LIST_CASE(
          shape, TF_ATTR_SHAPE, metadata.total_size = 0;

}

void ScalarFloatFromTensor(const TF_Tensor* t, float* f) {
  ASSERT_TRUE(t != nullptr);
  ASSERT_EQ(TF_FLOAT, TF_TensorType(t));
  ASSERT_EQ(0, TF_NumDims(t));
  ASSERT_EQ(4, TF_TensorByteSize(t));
  float* p = static_cast<float*>(TF_TensorData(t));
  *f = *p;
}

TEST_F(CApiGradientsTest, MultipleCallsToAddGradients) {
  const float X = 3.0f, Y = 7.0f;