values that are frequently and consistently consumed across at least 2 charts (things like image tags, common labels, etc), but these would only be accepted on a strict case-by-case basis.

- If the change is to a Kubernetes field (such as modifying a Deployment attribute), it will likely need to be install-time configuration. However, that doesn't necessarily mean a PR to add a value will be accepted. The `values.yaml` API is intended to maintain a *minimal core set of configuration* that most...

    builder.addEscape('!', "$");
    Escaper second = builder.build();
    // This should have no effect on existing escapers.
    builder.addEscape(' ', "*");

    // Test both escapers after modifying the builder.
    assertEquals("Xhe_Xuick_Xrown_XoxX", first.escape("The Quick Brown Fox!"));
    assertEquals("Xhe-Xuick-Xrown-Xox$", second.escape("The Quick Brown Fox!"));
  }

        int counter = 0
        source.filter { File f -> f.name.endsWith(".java") || f.name.endsWith(".groovy") }.each { File f ->
            parse(f, repository)
            counter++
        }

        //updating/modifying the metadata and making sure every type reference across the metadata is fully qualified
        //so, the superClassName, interfaces and types needed by declared properties and declared methods will have fully qualified name

* If the PR is for a direct dependency, so, Dependabot is modifying `pyproject.toml`, **don't merge it**. 😱 Let me check it first. There's a good chance that some additional tweaks or updates are needed.

requirement added an additional burden to have sequential hostnames for us to make sure that we can provide horizontal distribution, however we have come across situations where sometimes this is not feasible and there are no easier alternatives without modifying /etc/hosts on the host system as root user.  Many times in airgapped deployments this is not allowed or requires audits and approvals.

MinIO server configuration file allows users to provide topology that allows for heterogeneous hostnames,...

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions

          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions

          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions

			return copiedFiles, fmt.Errorf("create CNI config file: %v", err)
		}
		in.cniConfigFilepath = cfgPath
	} else {
		installLog.Infof("valid Istio config present in node-level CNI file %s, not modifying", in.cniConfigFilepath)
	}

	return copiedFiles, nil
}

// Run starts the installation process, verifies the configuration, then sleeps.