fmt.Fprintf(os.Stderr, "go tool %s: %s\n", toolName, err)
		}
		base.SetExitStatus(1)
		return
	}
}

// listTools prints a list of the available tools in the tools directory.
func listTools() {
	f, err := os.Open(build.ToolDir)
	if err != nil {
		fmt.Fprintf(os.Stderr, "go: no tool directory: %s\n", err)
		base.SetExitStatus(2)
		return
	}
	defer f.Close()

#include "tensorflow/compiler/jit/xla_activity_listener.h"

#include <cstdlib>

#include "tensorflow/cc/framework/ops.h"
#include "tensorflow/cc/ops/array_ops.h"
#include "tensorflow/cc/ops/list_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/core/common_runtime/direct_session.h"
#include "tensorflow/core/lib/core/status_test_util.h"

    op_lib_names = [
        "audio_ops",
        "candidate_sampling_ops",
        "control_flow_ops",
        "data_flow_ops",
        "image_ops",
        "io_ops",
        "linalg_ops",
        "list_ops",
        "map_ops",
        "logging_ops",
        "lookup_ops",
        "manip_ops",
        "nn_ops",
        "no_op",
        "parsing_ops",
        "random_ops",
        "sparse_ops",

		rs.closemu.RUnlock()
	}

	if rs.lastcols == nil {
		rs.closemuRUnlockIfHeldByScan()
		return errors.New("sql: Scan called without calling Next")
	}
	if len(dest) != len(rs.lastcols) {
		rs.closemuRUnlockIfHeldByScan()
		return fmt.Errorf("sql: expected %d destination arguments in Scan, not %d", len(rs.lastcols), len(dest))
	}

	for i, sv := range rs.lastcols {
		err := convertAssignRows(dest[i], sv, rs)

	if err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	adminLogIf(r.Context(), json.NewEncoder(w).Encode(&status))
}

func (a adminAPIHandlers) ListPools(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.ServerInfoAdminAction, policy.DecommissionAdminAction)
	if objectAPI == nil {
		return
	}

```

### Edítalo

Es un programa muy simple.

Ahora, imagina que lo estás escribiendo desde ceros.

En algún punto habrías comenzado con la definición de la función, tenías los parámetros listos...

Pero, luego tienes que llamar "ese método que convierte la primera letra en una mayúscula".

Era `upper`? O era `uppercase`? `first_uppercase`? `capitalize`?

	owned := make([]*apps.ReplicaSet, 0, len(all))
	for _, rs := range all {
		if metav1.IsControlledBy(rs, deployment) {
			owned = append(owned, rs)
		}
	}
	return owned, nil
}

// ListPods returns a list of pods the given deployment targets.
// This needs a list of ReplicaSets for the Deployment,
// which can be found with ListReplicaSets().

			// Pool operations
			adminRouter.Methods(http.MethodGet).Path(adminVersion + "/pools/list").HandlerFunc(adminMiddleware(adminAPI.ListPools, traceAllFlag))
			adminRouter.Methods(http.MethodGet).Path(adminVersion+"/pools/status").HandlerFunc(adminMiddleware(adminAPI.StatusPool, traceAllFlag)).Queries("pool", "{pool:.*}")

#include "tensorflow/cc/ops/array_ops.h"
#include "tensorflow/cc/ops/control_flow_ops_internal.h"
#include "tensorflow/cc/ops/function_ops.h"
#include "tensorflow/cc/ops/functional_ops.h"
#include "tensorflow/cc/ops/list_ops.h"
#include "tensorflow/cc/ops/resource_variable_ops.h"
#include "tensorflow/cc/ops/sendrecv_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/compiler/jit/defs.h"

        ML authoring is generally discouraged.
    *   Add support for unsigned 16-bit integer tensor types in cast op.
    *   Experimental support for lowering `list_ops.tensor_list_set_item` with
        `DynamicUpdateSlice`.
    *   Enabled a new MLIR-based dynamic range quantization backend by default
        *   The new backend is used for post-training int8 dynamic range