mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-24 00:46:53 +01:00
368 lines
12 KiB
Python
368 lines
12 KiB
Python
"""
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This module provides a singleton class `Parameters` that is used to manage all hyperparameters for the embedding application.
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It expects a JSON file in `extensions/superboogav2/config.json`.
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Each element in the JSON must have a `default` value which will be used for the current run. Elements can have `categories`.
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These categories define the range in which the optimizer will search. If the element is tagged with `"should_optimize": false`,
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then the optimizer will only ever use the default value.
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"""
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import json
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from pathlib import Path
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from modules.logging_colors import logger
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NUM_TO_WORD_METHOD = 'Number to Word'
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NUM_TO_CHAR_METHOD = 'Number to Char'
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NUM_TO_CHAR_LONG_METHOD = 'Number to Multi-Char'
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DIST_MIN_STRATEGY = 'Min of Two'
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DIST_HARMONIC_STRATEGY = 'Harmonic Mean'
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DIST_GEOMETRIC_STRATEGY = 'Geometric Mean'
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DIST_ARITHMETIC_STRATEGY = 'Arithmetic Mean'
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PREPEND_TO_LAST = 'Prepend to Last Message'
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APPEND_TO_LAST = 'Append to Last Message'
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HIJACK_LAST_IN_CONTEXT = 'Hijack Last Message in Context ⚠️ WIP ⚠️ (Works Partially)'
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SORT_DISTANCE = 'distance'
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SORT_ID = 'id'
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class Parameters:
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_instance = None
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variable_mapping = {
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'NUM_TO_WORD_METHOD': NUM_TO_WORD_METHOD,
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'NUM_TO_CHAR_METHOD': NUM_TO_CHAR_METHOD,
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'NUM_TO_CHAR_LONG_METHOD': NUM_TO_CHAR_LONG_METHOD,
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'DIST_MIN_STRATEGY': DIST_MIN_STRATEGY,
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'DIST_HARMONIC_STRATEGY': DIST_HARMONIC_STRATEGY,
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'DIST_GEOMETRIC_STRATEGY': DIST_GEOMETRIC_STRATEGY,
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'DIST_ARITHMETIC_STRATEGY': DIST_ARITHMETIC_STRATEGY,
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'PREPEND_TO_LAST': PREPEND_TO_LAST,
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'APPEND_TO_LAST': APPEND_TO_LAST,
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'HIJACK_LAST_IN_CONTEXT': HIJACK_LAST_IN_CONTEXT,
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}
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@staticmethod
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def getInstance():
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if Parameters._instance is None:
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Parameters()
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return Parameters._instance
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def __init__(self):
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if Parameters._instance is not None:
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raise Exception("This class is a singleton!")
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else:
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Parameters._instance = self
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self.hyperparameters = self._load_from_json(Path("extensions/superboogav2/config.json"))
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def _load_from_json(self, file_path):
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logger.debug('Loading hyperparameters...')
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with open(file_path, 'r') as file:
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data = json.load(file)
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# Replace variable names in the dict and create Categorical objects
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for key in data:
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if "default" in data[key] and data[key]["default"] in self.variable_mapping:
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data[key]["default"] = self.variable_mapping[data[key]["default"]]
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if "categories" in data[key]:
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data[key]["categories"] = [self.variable_mapping.get(cat, cat) for cat in data[key]["categories"]]
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return data
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def should_to_lower() -> bool:
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return bool(Parameters.getInstance().hyperparameters['to_lower']['default'])
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def get_num_conversion_strategy() -> str:
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return Parameters.getInstance().hyperparameters['num_conversion']['default']
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def should_merge_spaces() -> bool:
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return bool(Parameters.getInstance().hyperparameters['merge_spaces']['default'])
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def should_strip() -> bool:
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return bool(Parameters.getInstance().hyperparameters['strip']['default'])
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def should_remove_punctuation() -> bool:
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return bool(Parameters.getInstance().hyperparameters['remove_punctuation']['default'])
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def should_remove_stopwords() -> bool:
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return bool(Parameters.getInstance().hyperparameters['remove_stopwords']['default'])
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def should_remove_specific_pos() -> bool:
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return bool(Parameters.getInstance().hyperparameters['remove_specific_pos']['default'])
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def should_lemmatize() -> bool:
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return bool(Parameters.getInstance().hyperparameters['lemmatize']['default'])
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def get_min_num_sentences() -> int:
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return int(Parameters.getInstance().hyperparameters['min_num_sent']['default'])
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def get_delta_start() -> int:
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return int(Parameters.getInstance().hyperparameters['delta_start']['default'])
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def set_to_lower(value: bool):
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Parameters.getInstance().hyperparameters['to_lower']['default'] = value
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def set_num_conversion_strategy(value: str):
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Parameters.getInstance().hyperparameters['num_conversion']['default'] = value
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def set_merge_spaces(value: bool):
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Parameters.getInstance().hyperparameters['merge_spaces']['default'] = value
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def set_strip(value: bool):
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Parameters.getInstance().hyperparameters['strip']['default'] = value
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def set_remove_punctuation(value: bool):
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Parameters.getInstance().hyperparameters['remove_punctuation']['default'] = value
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def set_remove_stopwords(value: bool):
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Parameters.getInstance().hyperparameters['remove_stopwords']['default'] = value
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def set_remove_specific_pos(value: bool):
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Parameters.getInstance().hyperparameters['remove_specific_pos']['default'] = value
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def set_lemmatize(value: bool):
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Parameters.getInstance().hyperparameters['lemmatize']['default'] = value
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def set_min_num_sentences(value: int):
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Parameters.getInstance().hyperparameters['min_num_sent']['default'] = value
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def set_delta_start(value: int):
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Parameters.getInstance().hyperparameters['delta_start']['default'] = value
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def get_chunk_len() -> str:
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lens = []
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mask = Parameters.getInstance().hyperparameters['chunk_len_mask']['default']
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lens.append(Parameters.getInstance().hyperparameters['chunk_len1']['default'] if mask & (1 << 0) else None)
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lens.append(Parameters.getInstance().hyperparameters['chunk_len2']['default'] if mask & (1 << 1) else None)
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lens.append(Parameters.getInstance().hyperparameters['chunk_len3']['default'] if mask & (1 << 2) else None)
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lens.append(Parameters.getInstance().hyperparameters['chunk_len4']['default'] if mask & (1 << 3) else None)
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return ','.join([str(len) for len in lens if len])
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def set_chunk_len(val: str):
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chunk_lens = sorted([int(len.strip()) for len in val.split(',')])
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# Reset the mask to zero
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Parameters.getInstance().hyperparameters['chunk_len_mask']['default'] = 0
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if len(chunk_lens) > 0:
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Parameters.getInstance().hyperparameters['chunk_len1']['default'] = chunk_lens[0]
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Parameters.getInstance().hyperparameters['chunk_len_mask']['default'] |= (1 << 0)
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if len(chunk_lens) > 1:
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Parameters.getInstance().hyperparameters['chunk_len2']['default'] = chunk_lens[1]
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Parameters.getInstance().hyperparameters['chunk_len_mask']['default'] |= (1 << 1)
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if len(chunk_lens) > 2:
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Parameters.getInstance().hyperparameters['chunk_len3']['default'] = chunk_lens[2]
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Parameters.getInstance().hyperparameters['chunk_len_mask']['default'] |= (1 << 2)
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if len(chunk_lens) > 3:
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Parameters.getInstance().hyperparameters['chunk_len4']['default'] = chunk_lens[3]
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Parameters.getInstance().hyperparameters['chunk_len_mask']['default'] |= (1 << 3)
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if len(chunk_lens) > 4:
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logger.warning(f'Only up to four chunk lengths are supported. Skipping {chunk_lens[4:]}')
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def get_context_len() -> str:
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context_len = str(Parameters.getInstance().hyperparameters['context_len_left']['default']) + ',' + str(Parameters.getInstance().hyperparameters['context_len_right']['default'])
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return context_len
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def set_context_len(val: str):
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context_lens = [int(len.strip()) for len in val.split(',') if len.isdigit()]
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if len(context_lens) == 1:
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Parameters.getInstance().hyperparameters['context_len_left']['default'] = Parameters.getInstance().hyperparameters['context_len_right']['default'] = context_lens[0]
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elif len(context_lens) == 2:
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Parameters.getInstance().hyperparameters['context_len_left']['default'] = context_lens[0]
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Parameters.getInstance().hyperparameters['context_len_right']['default'] = context_lens[1]
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else:
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logger.warning(f'Incorrect context length received {val}. Skipping.')
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def get_new_dist_strategy() -> str:
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return Parameters.getInstance().hyperparameters['new_dist_strategy']['default']
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def get_chunk_count() -> int:
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return int(Parameters.getInstance().hyperparameters['chunk_count']['default'])
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def get_min_num_length() -> int:
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return int(Parameters.getInstance().hyperparameters['min_num_length']['default'])
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def get_significant_level() -> float:
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return float(Parameters.getInstance().hyperparameters['significant_level']['default'])
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def get_time_steepness() -> float:
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return float(Parameters.getInstance().hyperparameters['time_steepness']['default'])
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def get_time_power() -> float:
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return float(Parameters.getInstance().hyperparameters['time_power']['default'])
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def get_chunk_separator() -> str:
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return Parameters.getInstance().hyperparameters['chunk_separator']['default']
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def get_prefix() -> str:
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return Parameters.getInstance().hyperparameters['prefix']['default']
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def get_data_separator() -> str:
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return Parameters.getInstance().hyperparameters['data_separator']['default']
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def get_postfix() -> str:
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return Parameters.getInstance().hyperparameters['postfix']['default']
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def get_is_manual() -> bool:
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return bool(Parameters.getInstance().hyperparameters['manual']['default'])
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def get_add_chat_to_data() -> bool:
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return bool(Parameters.getInstance().hyperparameters['add_chat_to_data']['default'])
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def get_injection_strategy() -> str:
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return Parameters.getInstance().hyperparameters['injection_strategy']['default']
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def get_chunk_regex() -> str:
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return Parameters.getInstance().hyperparameters['chunk_regex']['default']
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def get_is_strong_cleanup() -> bool:
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return bool(Parameters.getInstance().hyperparameters['strong_cleanup']['default'])
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def get_max_token_count() -> int:
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return int(Parameters.getInstance().hyperparameters['max_token_count']['default'])
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def get_num_threads() -> int:
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return int(Parameters.getInstance().hyperparameters['threads']['default'])
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def get_optimization_steps() -> int:
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return int(Parameters.getInstance().hyperparameters['optimization_steps']['default'])
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def get_api_port() -> int:
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return int(Parameters.getInstance().hyperparameters['api_port']['default'])
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def get_api_on() -> bool:
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return bool(Parameters.getInstance().hyperparameters['api_on']['default'])
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def set_new_dist_strategy(value: str):
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Parameters.getInstance().hyperparameters['new_dist_strategy']['default'] = value
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def set_chunk_count(value: int):
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Parameters.getInstance().hyperparameters['chunk_count']['default'] = value
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def set_min_num_length(value: int):
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Parameters.getInstance().hyperparameters['min_num_length']['default'] = value
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def set_significant_level(value: float):
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Parameters.getInstance().hyperparameters['significant_level']['default'] = value
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def set_time_steepness(value: float):
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Parameters.getInstance().hyperparameters['time_steepness']['default'] = value
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def set_time_power(value: float):
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Parameters.getInstance().hyperparameters['time_power']['default'] = value
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def set_chunk_separator(value: str):
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Parameters.getInstance().hyperparameters['chunk_separator']['default'] = value
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def set_prefix(value: str):
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Parameters.getInstance().hyperparameters['prefix']['default'] = value
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def set_data_separator(value: str):
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Parameters.getInstance().hyperparameters['data_separator']['default'] = value
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def set_postfix(value: str):
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Parameters.getInstance().hyperparameters['postfix']['default'] = value
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def set_manual(value: bool):
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Parameters.getInstance().hyperparameters['manual']['default'] = value
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def set_add_chat_to_data(value: bool):
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Parameters.getInstance().hyperparameters['add_chat_to_data']['default'] = value
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def set_injection_strategy(value: str):
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Parameters.getInstance().hyperparameters['injection_strategy']['default'] = value
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def set_chunk_regex(value: str):
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Parameters.getInstance().hyperparameters['chunk_regex']['default'] = value
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def set_strong_cleanup(value: bool):
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Parameters.getInstance().hyperparameters['strong_cleanup']['default'] = value
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def set_max_token_count(value: int):
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Parameters.getInstance().hyperparameters['max_token_count']['default'] = value
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def set_num_threads(value: int):
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Parameters.getInstance().hyperparameters['threads']['default'] = value
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def set_optimization_steps(value: int):
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Parameters.getInstance().hyperparameters['optimization_steps']['default'] = value
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def set_api_port(value: int):
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Parameters.getInstance().hyperparameters['api_port']['default'] = value
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def set_api_on(value: bool):
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Parameters.getInstance().hyperparameters['api_on']['default'] = value
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