"""simple docstring"""







from math import radians as angle_to_radians
from math import sin

# Acceleration Constant on Earth (unit m/s^2)
_SCREAMING_SNAKE_CASE	:		Any   =   9.8_0_6_6_5



def       A__    (	lowercase_     :	float      , lowercase_     :	float						)  ->							None:

   # Ensure valid instance
   if not isinstance(lowercase_      , (int, float)						):
      raise TypeError('Invalid velocity. Should be a positive number.'						)

   if not isinstance(lowercase_      , (int, float)						):
      raise TypeError('Invalid angle. Range is 1-90 degrees.'						)

   # Ensure valid angle
   if angle > 90 or angle < 1:
      raise ValueError('Invalid angle. Range is 1-90 degrees.'						)

   # Ensure valid velocity
   if init_velocity < 0:
      raise ValueError('Invalid velocity. Should be a positive number.'						)



def       A__    (	lowercase_     :	float      , lowercase_     :	float						)  ->							float:
   check_args(lowercase_      , lowercase_						)
   __lowerCamelCase    		=					angle_to_radians(2 * angle						)
   return round(init_velocity**2 * sin(lowercase_						) / g      , 2						)



def       A__    (	lowercase_     :	float      , lowercase_     :	float						)  ->							float:
   check_args(lowercase_      , lowercase_						)
   __lowerCamelCase    		=					angle_to_radians(lowercase_						)
   return round(init_velocity**2 * sin(lowercase_						) ** 2 / (2 * g)      , 2						)



def       A__    (	lowercase_     :	float      , lowercase_     :	float						)  ->							float:
   check_args(lowercase_      , lowercase_						)
   __lowerCamelCase    		=					angle_to_radians(lowercase_						)
   return round(2 * init_velocity * sin(lowercase_						) / g      , 2						)



def       A__    (	)  ->							None:
   __lowerCamelCase		,__lowerCamelCase    		=					25, 20
   assert horizontal_distance(lowercase_      , lowercase_						) == 4_0.9_7
   assert max_height(lowercase_      , lowercase_						) == 3.7_3
   assert total_time(lowercase_      , lowercase_						) == 1.7_4


if __name__ == "__main__":
     from doctest import testmod

     testmod()

     # Get input from user
     _SCREAMING_SNAKE_CASE	:		Tuple   =   float(input('''Initial Velocity: ''').strip())

     # Get input from user
     _SCREAMING_SNAKE_CASE	:		int   =   float(input('''angle: ''').strip())

     # Print results
     print()
     print('''Results: ''')
     print(F"Horizontal Distance: {horizontal_distance(init_vel, angle)!s} [m]")
     print(F"Maximum Height: {max_height(init_vel, angle)!s} [m]")
     print(F"Total Time: {total_time(init_vel, angle)!s} [s]")












'''simple docstring'''






import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
      from .testing_utils import (
          floats_tensor,
          load_hf_numpy,
          load_image,
          load_numpy,
          load_pt,
          nightly,
          parse_flag_from_env,
          print_tensor_test,
          require_torch_a,
          require_torch_gpu,
          skip_mps,
          slow,
          torch_all_close,
          torch_device,
      )
      from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


lowercase						:   Tuple      						=							get_logger(__name__)




def 		a_(			lowerCamelCase   )					->Any:






       '''simple docstring'''




       if version.parse(lowerCamelCase   ) < version.parse(lowerCamelCase   ):
              if "dev" in min_version:
                     lowercase	:		str    =   (
                         '''This example requires a source install from HuggingFace diffusers (see '''
                         '''`https://huggingface.co/docs/diffusers/installation#install-from-source`),'''
                     )
              else:
                     lowercase	:		List[str]    =   f"""This example requires a minimum version of {min_version},"""
              error_message += f""" but the version found is {__version__}.\n"""
              raise ImportError(lowerCamelCase   )




