register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64_cuda")

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.

	<ul>
	<li>there are no "break" statements referring to the "for" statement, and</li>
	<li>the loop condition is absent, and</li>
	<li>the "for" statement does not use a range clause.</li>
	</ul>
</li>

<li>
	A <a href="#Switch_statements">"switch" statement</a> in which:
	<ul>
	<li>there are no "break" statements referring to the "switch" statement,</li>
	<li>there is a default case, and</li>

Create functions with a name that starts with `test_` (this is standard `pytest` conventions).

Use the `TestClient` object the same way as you do with `httpx`.

Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`).

{* ../../docs_src/app_testing/tutorial001_py39.py hl[2,12,15:18] *}

/// tip

Only the code prior to and including the `yield` statement is executed before creating a response:

{* ../../docs_src/dependencies/tutorial007_py39.py hl[2:4] *}

The yielded value is what is injected into *path operations* and other dependencies:

{* ../../docs_src/dependencies/tutorial007_py39.py hl[4] *}

The code following the `yield` statement is executed after the response:

{* ../../docs_src/custom_response/tutorial008_py39.py hl[2,10:12,14] *}

1. This is the generator function. It's a "generator function" because it contains `yield` statements inside.
2. By using a `with` block, we make sure that the file-like object is closed after the generator function is done. So, after it finishes sending the response.

	// policy, regardless of whether the number of statements is 0, this
	// includes `null`, `{}` and `{"Statement": null}`. In fact, MinIO Console
	// sends `null` when no policy is set and the intended behavior is that the
	// service account should inherit parent policy. So when policy is empty in
	// all fields we return hasSessionPolicy=false.
	if subPolicy.Version == "" && subPolicy.Statements == nil && subPolicy.ID == "" {

    define_values = {"no_xla_deps_in_cuda": "true"},
    visibility = ["//visibility:public"],
)

# Crosses between framework_shared_object and a bunch of other configurations
# due to limitations in nested select() statements.
config_setting(
    name = "framework_shared_object",
    define_values = {"framework_shared_object": "true"},
    visibility = ["//visibility:public"],
)

config_setting(

    long guess = (long) Math.sqrt((double) x);
    // Note: guess is always <= FLOOR_SQRT_MAX_LONG.
    long guessSquared = guess * guess;
    // Note (2013-2-26): benchmarks indicate that, inscrutably enough, using if statements is
    // faster here than using lessThanBranchFree.
    switch (mode) {
      case UNNECESSARY:
        checkRoundingUnnecessary(guessSquared == x);
        return guess;
      case FLOOR:
      case DOWN:

	// at this point.
	m.Delete(sessionPolicyNameExtracted)

	nosp := opts.sessionPolicy == nil || opts.sessionPolicy.Version == "" && len(opts.sessionPolicy.Statements) == 0

	// sessionPolicy is nil and there is embedded policy attached we remove
	// embedded policy at that point.
	if _, ok := m.Lookup(policy.SessionPolicyName); ok && nosp {
		m.Delete(policy.SessionPolicyName)

		err := expr.aggregateRow(input, e.tableAlias)
		if err != nil {
			return err
		}
	}
	return nil
}

// Eval - evaluates the Select statement for the given record. It
// applies only to non-aggregation queries.
// The function returns whether the statement passed the WHERE clause and should be outputted.
func (e *SelectStatement) Eval(input, output Record) (Record, error) {
	ok, err := e.isPassingWhereClause(input)