from duplipy.replication import flip_horizontal, flip_vertical, rotate, random_rotation, resize, crop, random_crop

from duplipy.formatting import remove_special_characters, standardize_text

text = "Hello! This is some text."

# Remove special characters
formatted_text = remove_special_characters(text)
print(formatted_text)  # Output: Hello This is some text

# Standardize text formatting
standardized_text = standardize_text(text)
print(standardized_text)  # Output: hello! this is some text

from duplipy.replication import replace_word_with_synonym, augment_text_with_synonyms

text = "Hello! This is some text."

# Replace words with synonyms
augmented_text = augment_text_with_synonyms(text, augmentation_factor=3, probability=0.5)
print(augmented_text)

# Output:
# ['Hello! This is some text.', 'Hi! This is some text.', 'Hello! This is certain text.']

# Load text from a file and augment it
file_path = "path/to/file.txt"
augmented_file_text = augment_file_with_synonyms(file_path, augmentation_factor=3, probability=0.5)
print(augmented_file_text)

from duplipy.sentiment import analyze_sentiment

text = "I love this product! It's amazing!"

# Analyze sentiment
sentiment = analyze_sentiment(text)
print(sentiment)  # Output: Positive

from duplipy.similarity import edit_distance_score

text1 = "Hello! How are you?"
text2 = "Hi! How are you doing?"

# Calculate edit distance
edit_distance = edit_distance_score(text1, text2)
print(edit_distance)  # Output: 4

from duplipy.similarity import bleu_score

text1 = "Hello! How are you?"
text2 = "Hi! How are you doing?"

# Calculate cosine similarity
bleu_value = bleu_score(text1, text2)
print(bleu_value)  # Output: 0.434

from PIL import Image
from duplipy.replication import flip_horizontal, flip_vertical, rotate, random_rotation, resize, crop, random_crop

# Load an image for testing
image_path = "path/to/image.jpg"
image = Image.open(image_path)

# Flip the image horizontally
flipped_horizontal_image = flip_horizontal(image)

# Flip the image vertically
flipped_vertical_image = flip_vertical(image)

# Rotate the image by a specific angle (e.g., 45 degrees)
rotated_image = rotate(image, 45)

# Apply a random rotation to the image within a specified range of angles (e.g., -30 to 30 degrees)
randomly_rotated_image = random_rotation(image, max_angle=30)

# Resize the image to a specific target size (e.g., 224x224 pixels)
resized_image = resize(image, target_size=(224, 224))

# Crop a random region from the image (e.g., 150x150 pixels)
randomly_cropped_image = random_crop(image, crop_size=(150, 150))

# Save the augmented images (optional, if you want to view the results)
flipped_horizontal_image.save("path/to/flipped_horizontal.jpg")
flipped_vertical_image.save("path/to/flipped_vertical.jpg")
rotated_image.save("path/to/rotated.jpg")
randomly_rotated_image.save("path/to/randomly_rotated.jpg")
resized_image.save("path/to/resized.jpg")
randomly_cropped_image.save("path/to/randomly_cropped.jpg")