
"""simple docstring"""







from pathlib import Path
import json
import tempfile

from transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration
from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES

lowerCamelCase__        =		"""tiny-wmt19-en-ru"""

# Build

# borrowed from a test
lowerCamelCase__        =		[
    """l""",
    """o""",
    """w""",
    """e""",
    """r""",
    """s""",
    """t""",
    """i""",
    """d""",
    """n""",
    """w</w>""",
    """r</w>""",
    """t</w>""",
    """lo""",
    """low""",
    """er</w>""",
    """low</w>""",
    """lowest</w>""",
    """newer</w>""",
    """wider</w>""",
    """<unk>""",
]
lowerCamelCase__        =		dict(zip(vocab, range(len(vocab))))
lowerCamelCase__        =		["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

with tempfile.TemporaryDirectory() as tmpdirname:
							lowerCamelCase__        =		Path(tmpdirname)
							lowerCamelCase__        =		build_dir / VOCAB_FILES_NAMES["""src_vocab_file"""]
							lowerCamelCase__        =		build_dir / VOCAB_FILES_NAMES["""tgt_vocab_file"""]
							lowerCamelCase__        =		build_dir / VOCAB_FILES_NAMES["""merges_file"""]
							with open(src_vocab_file, """w""") as fp:
														fp.write(json.dumps(vocab_tokens))
							with open(tgt_vocab_file, """w""") as fp:
														fp.write(json.dumps(vocab_tokens))
							with open(merges_file, """w""") as fp:
														fp.write("""\n""".join(merges))

							lowerCamelCase__        =		FSMTTokenizer(
							    langs=["""en""", """ru"""],
							    src_vocab_size=len(vocab),
							    tgt_vocab_size=len(vocab),
							    src_vocab_file=src_vocab_file,
							    tgt_vocab_file=tgt_vocab_file,
							    merges_file=merges_file,
							)

lowerCamelCase__        =		FSMTConfig(
    langs=["""ru""", """en"""],
    src_vocab_size=1_000,
    tgt_vocab_size=1_000,
    d_model=4,
    encoder_layers=1,
    decoder_layers=1,
    encoder_ffn_dim=4,
    decoder_ffn_dim=4,
    encoder_attention_heads=1,
    decoder_attention_heads=1,
)

lowerCamelCase__        =		FSMTForConditionalGeneration(config)
print(f'num of params {tiny_model.num_parameters()}')

# Test
lowerCamelCase__        =		tokenizer(["""Making tiny model"""], return_tensors="""pt""")
lowerCamelCase__        =		tiny_model(**batch)

print("""test output:""", len(outputs.logits[0]))

# Save
tiny_model.half()  # makes it smaller
tiny_model.save_pretrained(mname_tiny)
tokenizer.save_pretrained(mname_tiny)

print(f'Generated {mname_tiny}')

# Upload
# transformers-cli upload tiny-wmt19-en-ru

"""simple docstring"""







# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    """stable diffusion controlnet""",
    """0.22.0""",
    """Importing `FlaxStableDiffusionControlNetPipeline` from diffusers.pipelines.stable_diffusion.flax_pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import FlaxStableDiffusionControlNetPipeline` instead.""",
    standard_warn=False,
    stacklevel=3,
)