
"""simple docstring"""


import functools
from math import sqrt
from time import time






def    lowercase	(  lowerCAmelCase__  ,*lowerCAmelCase__  ,**lowerCAmelCase__	):
			lowerCamelCase_ 		=     time()
			lowerCamelCase_ 		=     func(*__A  ,**__A	)
			lowerCamelCase_ 		=     time()
			if int(end - start	) > 0:
						print(f"{func.__name__} runtime: {(end - start):0.4f} s"	)
			else:
						print(f"{func.__name__} runtime: {(end - start) * 1_000:0.4f} ms"	)
			return output






def    lowercase	(  lowerCAmelCase__	):



			if n < 0:
						raise Exception('''n is negative'''	)
			if n == 0:
						return [0]
			lowerCamelCase_ 		=     [0, 1]
			for _ in range(n - 1	):
						fib.append(fib[-1] + fib[-2]	)
			return fib






def    lowercase	(  lowerCAmelCase__	):



			def fib_recursive_term(lowerCAmelCase__	) -> int:
						if i < 0:
									raise Exception('''n is negative'''	)
						if i < 2:
									return i
						return fib_recursive_term(i - 1	) + fib_recursive_term(i - 2	)

			if n < 0:
						raise Exception('''n is negative'''	)
			return [fib_recursive_term(__A	) for i in range(n + 1	)]






def    lowercase	(  lowerCAmelCase__	):



			@functools.cache
			def fib_recursive_term(lowerCAmelCase__	) -> int:
						if i < 0:
									raise Exception('''n is negative'''	)
						if i < 2:
									return i
						return fib_recursive_term(i - 1	) + fib_recursive_term(i - 2	)

			if n < 0:
						raise Exception('''n is negative'''	)
			return [fib_recursive_term(__A	) for i in range(n + 1	)]






def    lowercase	(  lowerCAmelCase__	):



			if n < 0:
						raise Exception('''n is negative'''	)
			# Cache must be outside recursuive function
			# other it will reset every time it calls itself.
			lowerCamelCase_ 		=     {0: 0, 1: 1, 2: 1}  # Prefilled cache

			def rec_fn_memoized(lowerCAmelCase__	) -> int:
						if num in cache:
									return cache[num]

						lowerCamelCase_ 		=     rec_fn_memoized(num - 1	) + rec_fn_memoized(num - 2	)
						lowerCamelCase_ 		=     value
						return value

			return [rec_fn_memoized(__A	) for i in range(n + 1	)]






def    lowercase	(  lowerCAmelCase__	):



			if n < 0:
						raise Exception('''n is negative'''	)
			if n >= 1_475:
						raise Exception('''n is too large'''	)
			lowerCamelCase_ 		=     sqrt(5	)
			lowerCamelCase_ 		=     (1 + sqrt_a) / 2
			return [round(phi**i / sqrt_a	) for i in range(n + 1	)]


if __name__ == "__main__":
						A_         =				30
						time_func(fib_iterative, num)
						time_func(fib_recursive, num)  # Around 3s runtime
						time_func(fib_recursive_cached, num)  # Around 0ms runtime
						time_func(fib_memoization, num)
						time_func(fib_binet, num)





"""simple docstring"""


import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
						A_						       =				[]

						A_						       =				os.path.join("""tests""", """models""", """**""", """test_modeling_*.py""")
						A_						       =				glob.glob(pattern)
						# TODO: deal with TF/Flax too
						A_						       =				[
						    x for x in test_files if not (x.startswith("""test_modeling_tf_""") or x.startswith("""test_modeling_flax_"""))
						]

						for test_file in test_files:
												A_						       =				get_tester_classes(test_file)
												for tester_class in tester_classes:
																		# A few tester classes don't have `parent` parameter in `__init__`.
																		# TODO: deal this better
																		try:
																								A_						       =				tester_class(parent=None)
																		except Exception:
																								continue
																		if hasattr(tester, """get_config"""):
																								A_						       =				tester.get_config()
																								for k, v in config.to_dict().items():
																														if isinstance(v, int):
																																				A_						       =				None
																																				if k in ["vocab_size"]:
																																										A_						       =				100
																																				elif k in ["max_position_embeddings"]:
																																										A_						       =				128
																																				elif k in ["hidden_size", "d_model"]:
																																										A_						       =				40
																																				elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																																										A_						       =				5
																																				if target is not None and v > target:
																																										failures.append(
																																										    f"{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"
																																										    f" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"
																																										    f" than {target}."
																																										)

						if len(failures) > 0:
												raise Exception(f"There were {len(failures)} failures:\n" + """\n""".join(failures))



