How to use cached_calculations method in hypothesis

Best Python code snippet using hypothesis

shrinker.py

Source:shrinker.py

...247        # Extra DFAs that may be installed. This is used solely for248        # testing and learning purposes.249        self.extra_dfas = {}250    @derived_value251    def cached_calculations(self):252        return {}253    def cached(self, *keys):254        def accept(f):255            cache_key = (f.__name__,) + keys256            try:257                return self.cached_calculations[cache_key]258            except KeyError:259                return self.cached_calculations.setdefault(cache_key, f())260        return accept261    def add_new_pass(self, run):262        """Creates a shrink pass corresponding to calling ``run(self)``"""263        definition = SHRINK_PASS_DEFINITIONS[run]264        p = ShrinkPass(265            run_with_chooser=definition.run_with_chooser,...

version_2.py

Source:version_2.py

1#!/usr/bin/python32# Author: Hovhannes Dabaghyan3# Matter: Commutative Binary Operations Decorator V2.4import functools5def cache(action):6    cached_calculations = dict()7    def improved_cache(func):8        # @functools.wraps(func)9        def cached(x, y):10            code = "{}${}".format(max(x, y), min(x, y))11            if code not in cached_calculations:12                print("{} performed between: {} and {}.".format(action, x, y))13                cached_calculations[code] = func(x, y)14            return cached_calculations[code]15        return cached16    return improved_cache17@cache("Addition")18def sigma(x, y):19    return x + y20# It is the same as this:21# sigma = cache("Addition")(sigma)22@cache("Multiplication")23def pi(x, y):24    return x * y25if __name__ == '__main__':26    print("Sum is: ", sigma(5, 10))27    print("Sum is: ", sigma(10, 5))28    print()29    print("Pi is: ", pi(5, 10))30    print("Pi is: ", pi(10, 5))31    print()32    print("Name of SUM function is: ", sigma.__name__)33    print("Name of PI function is: ", pi.__name__)...

version_1.py

Source:version_1.py

1#!/usr/bin/python32# Author: Hovhannes Dabaghyan3# Matter: Commutative Binary Operations Decorator V1.4def cache(func):5    cached_calculations = dict()6    def cached(x, y):7        code = "{}${}".format(max(x, y), min(x, y))8        if code not in cached_calculations:9            print("Addition performed between: {} and {}.".format(x, y))10            cached_calculations[code] = func(x, y)11        return cached_calculations[code]12    return cached13@cache14def sigma(x, y):15    return x + y16# It is the same as this:17# sigma = cache(sigma)18@cache19def pi(x, y):20    return x * y21if __name__ == '__main__':22    print("Sum is: ", sigma(5, 10))23    print("Sum is: ", sigma(10, 5))24    print()25    print("Pi is: ", pi(5, 10))26    print("Pi is: ", pi(10, 5))...

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