Fix typos in docstrings of evaluation_generator.py and event.py (#101) (#121)

* Fix typos in docstrings of evaluation_generator.py and event.py (#101)

Corrected 'resposnes' to 'responses', 'uncertainity' to 'uncertainty', 'conversaction' to 'conversation', and 'exeuction' to 'execution' in relevant docstrings for clarity.

* Fix typos in docstrings and comments across multiple files

Corrected 'detla' to 'delta', 'buil-in' to 'built-in', 'walkaround' to 'workaround', and 'conversaction' to 'conversation' for clarity in relevant files. Updated comments for consistency.

---------

Co-authored-by: Hangfei Lin <hangfei@google.com>
This commit is contained in:
fangyh20 2025-04-12 09:55:22 -07:00 committed by GitHub
parent d810ff7b28
commit 089c1e6428
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9 changed files with 21 additions and 21 deletions

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@ -42,10 +42,10 @@ class EvaluationGenerator:
"""Returns evaluation responses for the given dataset and agent.
Args:
eval_dataset: The dataset that needs to be scraped for resposnes.
eval_dataset: The dataset that needs to be scraped for responses.
agent_module_path: Path to the module that contains the root agent.
repeat_num: Number of time the eval dataset should be repeated. This is
usually done to remove uncertainity that a single run may bring.
usually done to remove uncertainty that a single run may bring.
agent_name: The name of the agent that should be evaluated. This is
usually the sub-agent.
initial_session: Initial session for the eval data.
@ -253,8 +253,8 @@ class EvaluationGenerator:
all_mock_tools: set[str],
):
"""Recursively apply the before_tool_callback to the root agent and all its subagents."""
# check if the agent has tools that defined by evalset
# We use function name to check if tools match
# Check if the agent has tools that are defined by evalset.
# We use function names to check if tools match
if not isinstance(agent, Agent) and not isinstance(agent, LlmAgent):
return

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@ -70,7 +70,7 @@ class Event(LlmResponse):
agent_2, and agent_2 is the parent of agent_3.
Branch is used when multiple sub-agent shouldn't see their peer agents'
conversaction history.
conversation history.
"""
# The following are computed fields.
@ -94,7 +94,7 @@ class Event(LlmResponse):
not self.get_function_calls()
and not self.get_function_responses()
and not self.partial
and not self.has_trailing_code_exeuction_result()
and not self.has_trailing_code_execution_result()
)
def get_function_calls(self) -> list[types.FunctionCall]:
@ -115,7 +115,7 @@ class Event(LlmResponse):
func_response.append(part.function_response)
return func_response
def has_trailing_code_exeuction_result(
def has_trailing_code_execution_result(
self,
) -> bool:
"""Returns whether the event has a trailing code execution result."""

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@ -31,9 +31,9 @@ FINAL_ANSWER_TAG = '/*FINAL_ANSWER*/'
class PlanReActPlanner(BasePlanner):
"""Plan-Re-Act planner that constraints the LLM response to generate a plan before any action/observation.
"""Plan-Re-Act planner that constrains the LLM response to generate a plan before any action/observation.
Note: this planner does not require the model to support buil-in thinking
Note: this planner does not require the model to support built-in thinking
features or setting the thinking config.
"""

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@ -108,7 +108,7 @@ class Runner:
"""Runs the agent.
NOTE: This sync interface is only for local testing and convenience purpose.
Consider to use `run_async` for production usage.
Consider using `run_async` for production usage.
Args:
user_id: The user ID of the session.

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@ -49,7 +49,7 @@ class State:
return key in self._value or key in self._delta
def has_delta(self) -> bool:
"""Whether the state has pending detla."""
"""Whether the state has pending delta."""
return bool(self._delta)
def get(self, key: str, default: Any = None) -> Any:

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@ -36,21 +36,21 @@ def assert_agent_says(
def assert_agent_says_in_order(
expected_conversaction: list[Message], agent_runner: TestRunner
expected_conversation: list[Message], agent_runner: TestRunner
):
expected_conversaction_idx = len(expected_conversaction) - 1
expected_conversation_idx = len(expected_conversation) - 1
for event in reversed(agent_runner.get_events()):
if event.content.parts and event.content.parts[0].text:
assert (
event.author
== expected_conversaction[expected_conversaction_idx]['agent_name']
== expected_conversation[expected_conversation_idx]['agent_name']
)
assert (
event.content.parts[0].text.strip()
== expected_conversaction[expected_conversaction_idx]['expected_text']
== expected_conversation[expected_conversation_idx]['expected_text']
)
expected_conversaction_idx -= 1
if expected_conversaction_idx < 0:
expected_conversation_idx -= 1
if expected_conversation_idx < 0:
return

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@ -27,7 +27,7 @@ from google.genai import types
class TestRunner:
"""Agents runner for testings."""
"""Agents runner for testing."""
app_name = "test_app"
user_id = "test_user"

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@ -53,7 +53,7 @@ def _raise_for_any_of_if_mldev(schema: types.Schema):
def _update_for_default_if_mldev(schema: types.Schema):
if schema.default is not None:
# TODO(kech): Remove this walkaround once mldev supports default value.
# TODO(kech): Remove this workaround once mldev supports default value.
schema.default = None
logger.warning(
'Default value is not supported in function declaration schema for'

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@ -267,11 +267,11 @@ def test_basemodel_list():
# TODO: comment out this test for now as crewai requires python 3.10 as minimum
# def test_crewai_tool():
# docs_tool = CrewaiTool(
# name='direcotry_read_tool',
# name='directory_read_tool',
# description='use this to find files for you.',
# tool=FileReadTool(),
# )
# function_decl = docs_tool.get_declaration()
# assert function_decl.name == 'direcotry_read_tool'
# assert function_decl.name == 'directory_read_tool'
# assert function_decl.parameters.type == 'OBJECT'
# assert function_decl.parameters.properties['file_path'].type == 'STRING'