<la:form styleId="updatePassword" method="post">
					<div class="input-group mb-3">
						<c:set var="ph_old_password">
							<la:message key="labels.profile.placeholder_old_password" />
						</c:set>
						<la:password property="oldPassword" class="form-control"
									 placeholder="${ph_old_password}" />
						<div class="input-group-append">
							<span class="input-group-text"><em class="fa fa-lock fa-fw"></span>
						</div>

      default: 1

  - type: input
    id: author-other-languages-experience
    attributes:
      label: "Other Languages Experience"
      description: "What other languages do you have experience with?"
      placeholder: "Go, Python, JS, Rust"
    validations:
      required: false

  - type: checkboxes
    id: related-idea
    attributes:
      label: "Related Idea"
      options:

				</div>
				<la:form styleId="login" method="post">
					<div class="input-group mb-3">
						<c:set var="ph_username">
							<la:message key="labels.login.placeholder_username" />
						</c:set>
						<la:text property="username" styleId="username"
							class="form-control" placeholder="${ph_username}" />
						<div class="input-group-append">
							<span class="input-group-text">
								<em class="fa fa-user fa-fw">

				<la:form styleId="newPassword" method="post">
					<div class="input-group mb-3">
						<c:set var="ph_new_password">
							<la:message key="labels.login.placeholder_new_password" />
						</c:set>
						<la:password property="password" class="form-control"
							placeholder="${ph_new_password}" />
						<div class="input-group-append">
							<span class="input-group-text">
								<em class="fa fa-lock fa-fw">
							</span>

      label: TensorFlow version
      placeholder: e.g., tf 2.8
    validations:
      required: true
  - type: dropdown
    id: Code
    attributes:
      label: Custom code
      options:
        - "Yes"
        - "No"
    validations:
      required: true
  - type: input
    id: OS
    attributes:
      label: OS platform and distribution
      placeholder: e.g., Linux Ubuntu 16.04
  - type: input

   * Preconditions} class use this formatter, for both of the reasons just discussed.
   *
   * <p><b>Warning:</b> Only the exact two-character placeholder sequence {@code "%s"} is
   * recognized.
   *
   * @param template a string containing zero or more {@code "%s"} placeholder sequences. {@code
   *     null} is treated as the four-character string {@code "null"}.

from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

if "dev" in __version__:   # pylint: disable=undefined-variable
  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

				</div>
				<la:form styleId="login" method="post">
					<div class="input-group mb-3">
						<c:set var="ph_username">
							<la:message key="labels.login.placeholder_username" />
						</c:set>
						<la:text property="username" styleId="username"
							class="form-control" placeholder="${ph_username}" />
						<div class="input-group-append">
							<span class="input-group-text">
								<em class="fa fa-user fa-fw">

          required: true
  - type: textarea
    id: bug-description
    attributes:
      label: Bug Description
      description: Tell us what issues you ran into.
      placeholder: Include information about what you tried, what you expected to happen, and what actually happened. The more details, the better!
    validations:
      required: true
  - type: textarea
    id: version
    attributes:

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.