56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
import random
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import io
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import json
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import re
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from .const import marsey_mappings
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WORD_DELIMITER = " "
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MAX_EMOJIS_PER_BLOCK = 2
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BLOCK_REGEX = re.compile(r"\s*[^\s]*")
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TRIM_REGEX = re.compile(r"^\W*|\W*$")
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def split_into_blocks(text):
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if text == "" or BLOCK_REGEX.search(text) is None:
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return [text]
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blocks = []
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start = 0
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while start < len(text):
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block_match = BLOCK_REGEX.search(text, start)
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blocks.append(block_match.group())
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start = block_match.end()
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return blocks
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def trim_nonalphabetical_characters(text):
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return TRIM_REGEX.sub("", text)
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def marsify(text):
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blocks = split_into_blocks(text)
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new_blocks = []
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for i, block in enumerate(blocks):
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new_blocks.append(block)
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emojis = generate_emojis_from(block)
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if emojis:
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new_blocks.append(" " + emojis)
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return "".join(new_blocks)
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def generate_emojis_from(block):
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trimmed_block = trim_nonalphabetical_characters(block)
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matching_emojis = get_matching_emojis(trimmed_block)
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emojis = []
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if matching_emojis:
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num_emojis = random.randint(0, MAX_EMOJIS_PER_BLOCK)
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for x in range(num_emojis):
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emojis.append(random.choice(matching_emojis))
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return "".join(emojis)
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def get_matching_emojis(trimmed_block):
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key = get_alphanumeric_prefix(trimmed_block.lower())
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if key in marsey_mappings:
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return marsey_mappings[get_alphanumeric_prefix(key)]
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return []
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def get_alphanumeric_prefix(s):
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i = 0
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while i < len(s) and s[i].isalnum():
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i += 1
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return s[:i] |