# Path: alphafold/model/utils.py
# def final_init(config):
# def batched_gather(params, indices, axis=0, batch_dims=0):
# def mask_mean(mask, value, axis=None, drop_mask_channel=False, eps=1e-10):
# def flat_params_to_haiku(params: Mapping[str, np.ndarray]) -> hk.Params:
# def padding_consistent_rng(f):
#   def grid_keys(key, shape):
#   def inner(key, shape, **kwargs):


import io
import os
import haiku as hk
import numpy as np
from typing import List
from alphafold.model import utils
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Convenience functions for reading data."""

# Internal import (7716).


def casp_model_names(data_dir: str) -> List[str]:
  params = os.listdir(os.path.join(data_dir, 'params'))
  return [os.path.splitext(filename)[0] for filename in params]


def get_model_haiku_params(model_name: str, data_dir: str) -> hk.Params:
  """Get the Haiku parameters from a model name."""

  path = os.path.join(data_dir, 'params', f'params_{model_name}.npz')

  with open(path, 'rb') as f:
    params = np.load(io.BytesIO(f.read()), allow_pickle=False)


# Path: alphafold/model/utils.py
# def final_init(config):
# def batched_gather(params, indices, axis=0, batch_dims=0):
# def mask_mean(mask, value, axis=None, drop_mask_channel=False, eps=1e-10):
# def flat_params_to_haiku(params: Mapping[str, np.ndarray]) -> hk.Params:
# def padding_consistent_rng(f):
#   def grid_keys(key, shape):
#   def inner(key, shape, **kwargs):


# Path: alphafold/model/data.py
import io
import os
import haiku as hk
import numpy as np
from typing import List
from alphafold.model import utils

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Convenience functions for reading data."""

# Internal import (7716).


def casp_model_names(data_dir: str) -> List[str]:
  params = os.listdir(os.path.join(data_dir, 'params'))
  return [os.path.splitext(filename)[0] for filename in params]


def get_model_haiku_params(model_name: str, data_dir: str) -> hk.Params:
  """Get the Haiku parameters from a model name."""

  path = os.path.join(data_dir, 'params', f'params_{model_name}.npz')

  with open(path, 'rb') as f:
    params = np.load(io.BytesIO(f.read()), allow_pickle=False)


  return utils.flat_params_to_haiku(params)