Update to Hypothesis version 3.88.3

PiperOrigin-RevId: 387410521

Author: axch

tensorflow_probability/python/internal/hypothesis_testlib.py

@@ -106,7 +106,7 @@ def decorator(test_method):
     if repro_seed is not None:
       # This implements the semantics of TFP_HYPOTHESIS_REPRODUCE via
       # the `hp.reproduce_failure` decorator.
-      test_method = hp.reproduce_failure('3.56.5', repro_seed)(test_method)
+      test_method = hp.reproduce_failure('3.88.3', repro_seed)(test_method)
     elif randomize_hypothesis():
       # Hypothesis defaults to seeding its internal PRNG from the system time,
       # so since we actually want randomization (including across machines) we

testing/install_test_dependencies.sh

@@ -186,7 +186,7 @@ install_python_packages() {
 
   # The following unofficial dependencies are used only by tests.
   # TODO(b/148685448): Unpin Hypothesis and coverage versions.
-  python -m pip install $PIP_FLAGS hypothesis==3.56.5 coverage==4.4.2 matplotlib mock mpmath scipy pandas
+  python -m pip install $PIP_FLAGS hypothesis==3.88.3 coverage==4.4.2 matplotlib mock mpmath scipy pandas
 
   # Install additional TFP dependencies.
   python -m pip install $PIP_FLAGS decorator 'cloudpickle>=1.3' dm-tree