.Values.configPathmc }} MC_CONFIG_DIR="{{ .Values.configPathmc }}" MC="/usr/bin/mc --insecure --config-dir ${MC_CONFIG_DIR}" {{- else }} MC="/usr/bin/mc --insecure" {{- end }} # AccessKey and secretkey credentials file are added to prevent shell execution errors caused by special characters. # Special characters for example : ',",<,>,{, MINIO_ACCESSKEY_SECRETKEY_TMP="/tmp/accessKey_and_secretKey_svcacct_tmp" # connectToMinio # Use a check-sleep-check loop to wait for MinIO service to be available connectToMinio()...

.Values.configPathmc }} MC_CONFIG_DIR="{{ .Values.configPathmc }}" MC="/usr/bin/mc --insecure --config-dir ${MC_CONFIG_DIR}" {{- else }} MC="/usr/bin/mc --insecure" {{- end }} # AccessKey and secretkey credentials file are added to prevent shell execution errors caused by special characters. # Special characters for example : ',",<,>,{, MINIO_ACCESSKEY_SECRETKEY_TMP="/tmp/accessKey_and_secretKey_svcacct_tmp" # connectToMinio # Use a check-sleep-check loop to wait for MinIO service to be available connectToMinio()...

.Values.configPathmc }} MC_CONFIG_DIR="{{ .Values.configPathmc }}" MC="/usr/bin/mc --insecure --config-dir ${MC_CONFIG_DIR}" {{- else }} MC="/usr/bin/mc --insecure" {{- end }} # AccessKey and secretkey credentials file are added to prevent shell execution errors caused by special characters. # Special characters for example : ',",<,>,{, MINIO_ACCESSKEY_SECRETKEY_TMP="/tmp/accessKey_and_secretKey_svcacct_tmp" # connectToMinio # Use a check-sleep-check loop to wait for MinIO service to be available connectToMinio()...

     *
     * All that said: I haven't actually managed to make this particular test produce a TSAN error
     * for the field accesses in MapIteratorCache. This test *has* found other TSAN errors,
     * including in MapRetrievalCache, so I'm not sure why this one is different. I did at least
     * confirm that my change to MapIteratorCache fixes the TSAN error in the (larger) test it was
     * originally reported in.
     */

////

/// info

In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

///

Here we define the config `env_file` inside of your Pydantic `Settings` class, and set the value to the filename with the dotenv file we want to use.

            refusedStreamCount++
            if (refusedStreamCount > 1) {
              noNewExchangesEvent = !noNewExchanges
              noNewExchanges = true
              routeFailureCount++
            }
          }

          e.errorCode == ErrorCode.CANCEL && call.isCanceled() -> {
            // Permit any number of CANCEL errors on locally-canceled calls.
          }

		default:
			return re, fmt.Errorf("replication mrf: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
		}
		switch binary.LittleEndian.Uint16(data[2:4]) {
		case mrfMetaVersion:
		default:
			return re, fmt.Errorf("replication mrf: unknown version: %d", binary.LittleEndian.Uint16(data[2:4]))
		}

		// OK, parse data.
		// ignore any parsing errors, we do not care this file is generated again anyways.

    *   One MUST NOT access `tensorflow::errors::Code` fields. Accessing
        `tensorflow::error::Code` fields is fine.
        *   Use the constructors such as `tensorflow::errors:InvalidArgument` to
            create status using an error code without accessing it.
        *   Use the free functions such as
            `tensorflow::errors::IsInvalidArgument` if needed.

   *
   * <pre>{@code
   * Optional<Integer> optionalInt = getSomeOptionalInt();
   * Number value = optionalInt.or(0.5); // error
   *
   * FluentIterable<? extends Number> numbers = getSomeNumbers();
   * Optional<? extends Number> first = numbers.first();
   * Number value = first.or(0.5); // error
   * }</pre>
   *

using and distributing the Program and assumes all risks associated with its
exercise of rights under this Agreement, including but not limited to the
risks and costs of program errors, compliance with applicable laws, damage
to or loss of data, programs or equipment, and unavailability or interruption
of operations.

   6. DISCLAIMER OF LIABILITY