label: "⚠️ Lacks Tests"
          color: {{ colors.yellow }}
      - action: add-comment@v1
        args:
          comment: |
            :warning: This PR appears to be lacking tests.  Consider adding tests to cover the new functionality.

# To simplify the automations section, some calculations are placed under unique YAML keys defined here.

    if (http2Connection == null) return false

    // 2. The routes must share an IP address.
    if (routes == null || !routeMatchesAny(routes)) return false

    // 3. This connection's server certificate's must cover the new host.
    if (address.hostnameVerifier !== OkHostnameVerifier) return false
    if (!supportsUrl(address.url)) return false

    // 4. Certificate pinning must match the host.
    try {

	}

	var rc io.ReadCloser

	if file.UncompressedSize64 > 0 {
		// There may be number of header bytes before the content.
		// Reading 64K extra. This should more than cover name and any "extra" details.
		end := file.Offset + int64(file.CompressedSize64) + 64<<10
		if end > zipObjInfo.Size {
			end = zipObjInfo.Size
		}
		rs := &HTTPRangeSpec{Start: file.Offset, End: end}

	}

	// Remove duplicate entries.
	trimStrings = uniqueEntries(trimStrings)

	// Add "github.com/minio/minio" as the last to cover
	// paths like "{GOROOT}/src/github.com/minio/minio"
	// and "{GOPATH}/src/github.com/minio/minio"
	trimStrings = append(trimStrings, filepath.Join("github.com", "minio", "minio")+string(filepath.Separator))
}

try:
    import email_validator

    assert email_validator  # make autoflake ignore the unused import
    from pydantic import EmailStr
except ImportError:  # pragma: no cover

    class EmailStr(str):  # type: ignore
        @classmethod
        def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
            yield cls.validate

        @classmethod

    try:
        from pydantic_core.core_schema import (
            with_info_plain_validator_function as with_info_plain_validator_function,
        )
    except ImportError:  # pragma: no cover
        from pydantic_core.core_schema import (
            general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401
        )

    Required = PydanticUndefined

This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

The **good news** is that with each different strategy there's a way to cover all of the deployment concepts. 🎉

Let's review these **deployment concepts** in terms of containers:

* HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory

			if !condPassed {
				return fmt.Errorf("Invalid according to Policy: Policy Condition failed")
			}
		} else if strings.HasPrefix(policy.Key, "$x-amz-meta-") || strings.HasPrefix(policy.Key, "$x-amz-") {
			// This covers all conditions X-Amz-Meta-* and X-Amz-*
			// Check if policy condition is satisfied
			condPassed = checkPolicyCond(op, formValues.Get(formCanonicalName), policy.Value)
			if !condPassed {

   * @throws NullPointerException if any of {@code elements} is null
   * @since 7.0 (source-compatible since 2.0)
   */
  // This the best we could do to get copyOfEnumSet to compile in the mainline.
  // The suppression also covers the cast to E[], discussed below.
  // In the backport, we don't have those cases and thus don't need this suppression.
  // We keep it to minimize diffs.
  @SuppressWarnings("unchecked")