# Author : Debanjali Biswas

# 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.

"""

Constants and File Paths

"""

# Model Constants

HIDDEN_DIM1 = 128 # Hidden dimension 1

HIDDEN_DIM2 = 32 # Hidden dimension 2

OUTPUT_DIM = 1 # Classifier output_dim

LR = 0.0001 # Learning rate for optimizer

MAX_EPOCHS = 70 # Training Epochs

CUDA_DEVICE = "cuda:0" # GPU

#####################################

# Model file paths and names

destination_folder1 = "./results1_insertions" # Destination folder for the trained model and metrics for extended model

destination_folder2 = "./results2" # Destination folder for the trained model and metrics for base model

destination_folder3 = "./results3" # Destination folder for the trained model and metrics for cosine similarity baseline model

destination_folder4 = "./results4" # Destination folder for the heuristics for naive baseline model

prediction_file = "insertion.tsv" # Testing results

#####################################

# Data file paths and names

folder = "./data" # Dataset folder

test_folder = "./test" # Folder with test data

recipe_folder_name = "recipes" # Folder containing recipes

alignment_file = "alignments.tsv" # Alignment file