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# first update and upgrade the server
sudo apt update -y
sudo apt upgrade -y

# install nginx for reverse proxy
sudo apt install nginx -y

# create a new file with the name, say, "keycloak_auth_server" (without any extension) inside the /etc/nginx/sites-available directory
# add the below configuration in that file
server{

zahash

# Created by https://www.toptal.com/developers/gitignore/api/windows,linux,macos,java,java-web,intellij,intellij+all,intellij+iml,eclipse,maven
# Edit at https://www.toptal.com/developers/gitignore?templates=windows,linux,macos,java,java-web,intellij,intellij+all,intellij+iml,eclipse,maven

### Eclipse ###
.metadata
bin/
tmp/
*.tmp
*.bak
*.swp

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def model_builder(hp):
    if TASK == "r":
        loss_fn = "mean_absolute_error"
    elif TASK == "c":
        if OUTPUT_NODES == 1:
            loss_fn = tf.keras.losses.BinaryCrossentropy(from_logits=True)
        else:
            loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)

    if TASK == "r":

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def string_input_processor(inputs):
    if not inputs:
        return

    vocabularies = defaultdict(set)

    for batch, _ in get_dataset(batch_size=BATCH_SIZE):
        for col_name in inputs.keys():
            for st in np.array(batch[col_name]).astype("str"):
                vocabularies[col_name].add(st.lower().strip())

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def numerical_input_processor(inputs):
    if not inputs:
        return

    concat = None
    if len(inputs.values()) > 1:
        concat = tf.keras.layers.Concatenate()(list(inputs.values()))

    norm = tf.keras.layers.experimental.preprocessing.Normalization()

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#! /usr/bin/env python3

"""
Install these packages before running the script

beautifulsoup4==4.9.0
bs4==0.0.1
certifi==2020.4.5.1
chardet==3.0.4
idna==2.9

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def search(grid_dict):

	# try to solve the board
    grid_dict = run_episode(grid_dict)
    

    if grid_dict is False:

    	# it means the current configuration of the board is unsolvable
    	# this happens when any of the boxes have no possible value to fix

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def run_episode(grid_dict):
    stuck = False
    while not stuck:
        # Check how many boxes have a fixed value
        solved_values_before = len([box for box in grid_dict.keys() if len(grid_dict[box]) == 1])
        
        # Use the Eliminate Strategy
        grid_dict = eliminate(grid_dict)
        
        # Use the Only Choice Strategy

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def only_choice(grid_dict):
    for unit in unit_list:
        for num in '123456789':
            num_places = [box for box in unit if num in grid_dict[box]]
            if len(num_places) == 1:
                grid_dict[num_places[0]] = num
    return grid_dict

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def eliminate(grid_dict):
    for k,v in grid_dict.items():
        if len(v) != 1: # if the box needs elimination
            peers = peer_dict[k]    # get all the peers
            peer_values = set([grid_dict[p] for p in peers if len(grid_dict[p]) == 1])
            grid_dict[k] = ''.join(set(grid_dict[k]) - peer_values)
    return grid_dict