Feature: TUI Persona State Coverage
  Scenarios that exercise previously uncovered code paths
  in the tui/persona/state.py module.

  Background:
    Given a mock persona registry is prepared

  Scenario: active_name resolves default when session is new
    When I request the active name for a new session "sess-1"
    Then the active name should be the resolved default persona name

  Scenario: active_name returns cached name on second call
    Given session "sess-2" already has active persona "analyst"
    When I request the active name for a new session "sess-2"
    Then the active name should be "analyst"

  Scenario: active_persona falls back to default when registry returns None
    Given session "sess-3" is bound to a persona name not in the registry
    When I request the active persona for session "sess-3"
    Then the persona should be the registry default
    And the session should be rebound to the default persona name

  Scenario: active_persona returns the looked-up persona when found
    Given session "sess-4" is bound to a persona name that exists in the registry
    When I request the active persona for session "sess-4"
    Then the persona should be the one from the registry

  Scenario: set_active_persona raises ValueError for unknown persona
    When I try to set an unknown persona "ghost" for session "sess-5"
    Then tpscov a ValueError should be raised with message containing "Unknown persona"

  Scenario: set_active_persona sets and returns a known persona
    When I set persona "coder" for session "sess-6"
    Then the returned persona name should be "coder"
    And session "sess-6" should have active persona "coder"
    And the registry last persona should be set to "coder"

  Scenario: set_active_persona skips preset init when session already has one
    Given the preset for session "sess-6b" is already set to "turbo"
    When I set persona "coder" for session "sess-6b"
    Then the returned persona name should be "coder"
    And the preset for session "sess-6b" should still be "turbo"

  Scenario: current_preset returns default for a new session
    When I request the current preset for new session "sess-7"
    Then the current preset should be "default"

  Scenario: cycle_preset returns default when persona has no argument presets
    Given a persona with no argument presets is active for session "sess-8"
    When I cycle the preset for session "sess-8"
    Then the cycled preset should be "default"

  Scenario: cycle_preset picks first preset when current is not in the list
    Given a persona with presets "default,fast,slow" is active for session "sess-9"
    And the current preset for session "sess-9" is "nonexistent"
    When I cycle the preset for session "sess-9"
    Then the cycled preset should be "default"

  Scenario: cycle_preset advances to the next preset in the list
    Given a persona with presets "default,fast,slow" is active for session "sess-10"
    And the current preset for session "sess-10" is "default"
    When I cycle the preset for session "sess-10"
    Then the cycled preset should be "fast"

  Scenario: effective_arguments delegates to persona with current preset
    Given a persona with base arguments and presets is active for session "sess-11"
    When I request the effective arguments for session "sess-11"
    Then the effective arguments should merge base and preset overrides