// Subsequent get should still work
        assertEquals(4, impl.getBuffer().length);
    }

    // Capacity behavior: when full, additional releases are dropped; only cached buffers are returned
    @Test
    @DisplayName("Cache capacity respected: extra releases dropped; retrieval order by first free slot")
    void cacheCapacityAndRetrievalOrder() {
        BufferCacheImpl impl = new BufferCacheImpl(2, 3);

  PROFILE_JSON_PATH="$PROFILE_JSON_PATH/profile.json.gz"
else
  PROFILE_JSON_PATH="$TFCI_OUTPUT_DIR/profile.json.gz"
fi

# TODO(b/361369076) Remove the following block after TF NumPy 1 is dropped
# Move hermetic requirement lock files for NumPy 1 to the root
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  cp ./ci/official/requirements_updater/numpy1_requirements/*.txt .
fi

        if (usage == 0) {
            synchronized (this) {
                log.debug("Usage dropped to zero, release session");
                if (this.sessionAcquired.compareAndSet(true, false)) {
                    this.session.release();
                }
            }
        } else if (usage < 0) {
            log.error("Usage count dropped below zero " + this);
            dumpResource();

                    }
                }
            }
        } else if (usage < 0) {
            log.error("Usage count dropped below zero " + this);
            throw new RuntimeCIFSException("Usage count dropped below zero");
        }
    }

    /**
     * Close the tree connection (implements AutoCloseable)
     *

  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then
    "$python" -m pip install numpy==1.26.4
  else
    "$python" -m pip install numpy==1.26.0
  fi
fi

FastAPI version 0.119.0 introduced partial support for Pydantic v1 from inside of Pydantic v2 (as `pydantic.v1`), to facilitate the migration to v2.

FastAPI 0.126.0 dropped support for Pydantic v1, while still supporting `pydantic.v1` for a little while.

/// warning

The Pydantic team stopped support for Pydantic v1 for the latest versions of Python, starting with **Python 3.14**.

                            session.release();
                        }
                    }
                } catch (Exception e) {
                    if (!e.getMessage().contains("Usage count dropped below zero")) {
                        exceptions.add(e);
                    }
                } finally {
                    endLatch.countDown();
                }
            });
        }

        final long us = this.usageCount.decrementAndGet();
        if (us == 0) {
            this.treeConnection.release();
        } else if (us < 0) {
            throw new RuntimeCIFSException("Usage count dropped below zero");
        }
    }

    @Override
    protected void finalize() throws Throwable {
        try {
            // Add null check to prevent NPE if object was not fully constructed

        }

        if (usage == 0) {
            if (log.isTraceEnabled()) {
                log.trace("Transport usage dropped to zero " + this);
            }
        } else if (usage < 0) {
            throw new RuntimeCIFSException("Usage count dropped below zero");
        }
    }

    /**
     * {@inheritDoc}
     *
     * @see java.lang.Object#finalize()
     */
    @Override

        RuntimeException ex = assertThrows(RuntimeException.class, trace::release);
        assertTrue(ex.getMessage() != null && ex.getMessage().contains("Usage count dropped below zero"));
    }

    @Test
    @DisplayName("getTreeId(): no tree returns -1")
    void getTreeId_noTree_returnsMinusOne() {
        // Arrange
        CIFSContext ctx = mock(CIFSContext.class);