_assert_potential_error() — langchain Function Reference
Architecture documentation for the _assert_potential_error() function in test_fallbacks.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a["_assert_potential_error()"] d62d478e_a330_c328_7da4_58e88d780807["test_fallbacks.py"] b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a -->|defined in| d62d478e_a330_c328_7da4_58e88d780807 af592282_6535_32ff_1a6c_4b92cf373f69["test_invoke_with_exception_key()"] af592282_6535_32ff_1a6c_4b92cf373f69 -->|calls| b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a ac9f3fb6_212f_5556_6e7e_feeebdac3fd3["test_ainvoke_with_exception_key()"] ac9f3fb6_212f_5556_6e7e_feeebdac3fd3 -->|calls| b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a 14b0ba24_86ad_edf7_3d03_e8df98f7d29a["test_batch()"] 14b0ba24_86ad_edf7_3d03_e8df98f7d29a -->|calls| b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a 2d240e6c_0dba_793d_c16e_cecb30f225e7["test_abatch()"] 2d240e6c_0dba_793d_c16e_cecb30f225e7 -->|calls| b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a style b4df7c29_3d15_7d1f_4ec5_5bcda5d0c06a fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/runnables/test_fallbacks.py lines 117–122
def _assert_potential_error(actual: list[Any], expected: list[Any]) -> None:
for x, y in zip(actual, expected, strict=False):
if isinstance(x, Exception):
assert isinstance(y, type(x))
else:
assert x == y
Domain
Subdomains
Called By
Source
Frequently Asked Questions
What does _assert_potential_error() do?
_assert_potential_error() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_fallbacks.py.
Where is _assert_potential_error() defined?
_assert_potential_error() is defined in libs/core/tests/unit_tests/runnables/test_fallbacks.py at line 117.
What calls _assert_potential_error()?
_assert_potential_error() is called by 4 function(s): test_abatch, test_ainvoke_with_exception_key, test_batch, test_invoke_with_exception_key.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free