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a/vllm/lib/python3.10/site-packages/charset_normalizer/__pycache__/version.cpython-310.pyc b/vllm/lib/python3.10/site-packages/charset_normalizer/__pycache__/version.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6e32e5168041a5672ff86a89bf492b6e01821da6 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/charset_normalizer/__pycache__/version.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/api.py b/vllm/lib/python3.10/site-packages/charset_normalizer/api.py new file mode 100644 index 0000000000000000000000000000000000000000..e3f2283b9457c74cbe3df050938b7ece2d379404 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/api.py @@ -0,0 +1,668 @@ +import logging +from os import PathLike +from typing import BinaryIO, List, Optional, Set, Union + +from .cd import ( + coherence_ratio, + encoding_languages, + mb_encoding_languages, + merge_coherence_ratios, +) +from .constant import IANA_SUPPORTED, TOO_BIG_SEQUENCE, TOO_SMALL_SEQUENCE, TRACE +from .md import mess_ratio +from .models import CharsetMatch, CharsetMatches +from .utils import ( + any_specified_encoding, + cut_sequence_chunks, + iana_name, + identify_sig_or_bom, + is_cp_similar, + is_multi_byte_encoding, + should_strip_sig_or_bom, +) + +# Will most likely be controversial +# logging.addLevelName(TRACE, "TRACE") +logger = logging.getLogger("charset_normalizer") +explain_handler = logging.StreamHandler() +explain_handler.setFormatter( + logging.Formatter("%(asctime)s | %(levelname)s | %(message)s") +) + + +def from_bytes( + sequences: Union[bytes, bytearray], + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.2, + cp_isolation: Optional[List[str]] = None, + cp_exclusion: Optional[List[str]] = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = True, +) -> CharsetMatches: + """ + Given a raw bytes sequence, return the best possibles charset usable to render str objects. + If there is no results, it is a strong indicator that the source is binary/not text. + By default, the process will extract 5 blocks of 512o each to assess the mess and coherence of a given sequence. + And will give up a particular code page after 20% of measured mess. Those criteria are customizable at will. + + The preemptive behavior DOES NOT replace the traditional detection workflow, it prioritize a particular code page + but never take it for granted. Can improve the performance. + + You may want to focus your attention to some code page or/and not others, use cp_isolation and cp_exclusion for that + purpose. + + This function will strip the SIG in the payload/sequence every time except on UTF-16, UTF-32. + By default the library does not setup any handler other than the NullHandler, if you choose to set the 'explain' + toggle to True it will alter the logger configuration to add a StreamHandler that is suitable for debugging. + Custom logging format and handler can be set manually. + """ + + if not isinstance(sequences, (bytearray, bytes)): + raise TypeError( + "Expected object of type bytes or bytearray, got: {0}".format( + type(sequences) + ) + ) + + if explain: + previous_logger_level: int = logger.level + logger.addHandler(explain_handler) + logger.setLevel(TRACE) + + length: int = len(sequences) + + if length == 0: + logger.debug("Encoding detection on empty bytes, assuming utf_8 intention.") + if explain: + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level or logging.WARNING) + return CharsetMatches([CharsetMatch(sequences, "utf_8", 0.0, False, [], "")]) + + if cp_isolation is not None: + logger.log( + TRACE, + "cp_isolation is set. use this flag for debugging purpose. " + "limited list of encoding allowed : %s.", + ", ".join(cp_isolation), + ) + cp_isolation = [iana_name(cp, False) for cp in cp_isolation] + else: + cp_isolation = [] + + if cp_exclusion is not None: + logger.log( + TRACE, + "cp_exclusion is set. use this flag for debugging purpose. " + "limited list of encoding excluded : %s.", + ", ".join(cp_exclusion), + ) + cp_exclusion = [iana_name(cp, False) for cp in cp_exclusion] + else: + cp_exclusion = [] + + if length <= (chunk_size * steps): + logger.log( + TRACE, + "override steps (%i) and chunk_size (%i) as content does not fit (%i byte(s) given) parameters.", + steps, + chunk_size, + length, + ) + steps = 1 + chunk_size = length + + if steps > 1 and length / steps < chunk_size: + chunk_size = int(length / steps) + + is_too_small_sequence: bool = len(sequences) < TOO_SMALL_SEQUENCE + is_too_large_sequence: bool = len(sequences) >= TOO_BIG_SEQUENCE + + if is_too_small_sequence: + logger.log( + TRACE, + "Trying to detect encoding from a tiny portion of ({}) byte(s).".format( + length + ), + ) + elif is_too_large_sequence: + logger.log( + TRACE, + "Using lazy str decoding because the payload is quite large, ({}) byte(s).".format( + length + ), + ) + + prioritized_encodings: List[str] = [] + + specified_encoding: Optional[str] = ( + any_specified_encoding(sequences) if preemptive_behaviour else None + ) + + if specified_encoding is not None: + prioritized_encodings.append(specified_encoding) + logger.log( + TRACE, + "Detected declarative mark in sequence. Priority +1 given for %s.", + specified_encoding, + ) + + tested: Set[str] = set() + tested_but_hard_failure: List[str] = [] + tested_but_soft_failure: List[str] = [] + + fallback_ascii: Optional[CharsetMatch] = None + fallback_u8: Optional[CharsetMatch] = None + fallback_specified: Optional[CharsetMatch] = None + + results: CharsetMatches = CharsetMatches() + + early_stop_results: CharsetMatches = CharsetMatches() + + sig_encoding, sig_payload = identify_sig_or_bom(sequences) + + if sig_encoding is not None: + prioritized_encodings.append(sig_encoding) + logger.log( + TRACE, + "Detected a SIG or BOM mark on first %i byte(s). Priority +1 given for %s.", + len(sig_payload), + sig_encoding, + ) + + prioritized_encodings.append("ascii") + + if "utf_8" not in prioritized_encodings: + prioritized_encodings.append("utf_8") + + for encoding_iana in prioritized_encodings + IANA_SUPPORTED: + if cp_isolation and encoding_iana not in cp_isolation: + continue + + if cp_exclusion and encoding_iana in cp_exclusion: + continue + + if encoding_iana in tested: + continue + + tested.add(encoding_iana) + + decoded_payload: Optional[str] = None + bom_or_sig_available: bool = sig_encoding == encoding_iana + strip_sig_or_bom: bool = bom_or_sig_available and should_strip_sig_or_bom( + encoding_iana + ) + + if encoding_iana in {"utf_16", "utf_32"} and not bom_or_sig_available: + logger.log( + TRACE, + "Encoding %s won't be tested as-is because it require a BOM. Will try some sub-encoder LE/BE.", + encoding_iana, + ) + continue + if encoding_iana in {"utf_7"} and not bom_or_sig_available: + logger.log( + TRACE, + "Encoding %s won't be tested as-is because detection is unreliable without BOM/SIG.", + encoding_iana, + ) + continue + + try: + is_multi_byte_decoder: bool = is_multi_byte_encoding(encoding_iana) + except (ModuleNotFoundError, ImportError): + logger.log( + TRACE, + "Encoding %s does not provide an IncrementalDecoder", + encoding_iana, + ) + continue + + try: + if is_too_large_sequence and is_multi_byte_decoder is False: + str( + ( + sequences[: int(50e4)] + if strip_sig_or_bom is False + else sequences[len(sig_payload) : int(50e4)] + ), + encoding=encoding_iana, + ) + else: + decoded_payload = str( + ( + sequences + if strip_sig_or_bom is False + else sequences[len(sig_payload) :] + ), + encoding=encoding_iana, + ) + except (UnicodeDecodeError, LookupError) as e: + if not isinstance(e, LookupError): + logger.log( + TRACE, + "Code page %s does not fit given bytes sequence at ALL. %s", + encoding_iana, + str(e), + ) + tested_but_hard_failure.append(encoding_iana) + continue + + similar_soft_failure_test: bool = False + + for encoding_soft_failed in tested_but_soft_failure: + if is_cp_similar(encoding_iana, encoding_soft_failed): + similar_soft_failure_test = True + break + + if similar_soft_failure_test: + logger.log( + TRACE, + "%s is deemed too similar to code page %s and was consider unsuited already. Continuing!", + encoding_iana, + encoding_soft_failed, + ) + continue + + r_ = range( + 0 if not bom_or_sig_available else len(sig_payload), + length, + int(length / steps), + ) + + multi_byte_bonus: bool = ( + is_multi_byte_decoder + and decoded_payload is not None + and len(decoded_payload) < length + ) + + if multi_byte_bonus: + logger.log( + TRACE, + "Code page %s is a multi byte encoding table and it appear that at least one character " + "was encoded using n-bytes.", + encoding_iana, + ) + + max_chunk_gave_up: int = int(len(r_) / 4) + + max_chunk_gave_up = max(max_chunk_gave_up, 2) + early_stop_count: int = 0 + lazy_str_hard_failure = False + + md_chunks: List[str] = [] + md_ratios = [] + + try: + for chunk in cut_sequence_chunks( + sequences, + encoding_iana, + r_, + chunk_size, + bom_or_sig_available, + strip_sig_or_bom, + sig_payload, + is_multi_byte_decoder, + decoded_payload, + ): + md_chunks.append(chunk) + + md_ratios.append( + mess_ratio( + chunk, + threshold, + explain is True and 1 <= len(cp_isolation) <= 2, + ) + ) + + if md_ratios[-1] >= threshold: + early_stop_count += 1 + + if (early_stop_count >= max_chunk_gave_up) or ( + bom_or_sig_available and strip_sig_or_bom is False + ): + break + except ( + UnicodeDecodeError + ) as e: # Lazy str loading may have missed something there + logger.log( + TRACE, + "LazyStr Loading: After MD chunk decode, code page %s does not fit given bytes sequence at ALL. %s", + encoding_iana, + str(e), + ) + early_stop_count = max_chunk_gave_up + lazy_str_hard_failure = True + + # We might want to check the sequence again with the whole content + # Only if initial MD tests passes + if ( + not lazy_str_hard_failure + and is_too_large_sequence + and not is_multi_byte_decoder + ): + try: + sequences[int(50e3) :].decode(encoding_iana, errors="strict") + except UnicodeDecodeError as e: + logger.log( + TRACE, + "LazyStr Loading: After final lookup, code page %s does not fit given bytes sequence at ALL. %s", + encoding_iana, + str(e), + ) + tested_but_hard_failure.append(encoding_iana) + continue + + mean_mess_ratio: float = sum(md_ratios) / len(md_ratios) if md_ratios else 0.0 + if mean_mess_ratio >= threshold or early_stop_count >= max_chunk_gave_up: + tested_but_soft_failure.append(encoding_iana) + logger.log( + TRACE, + "%s was excluded because of initial chaos probing. Gave up %i time(s). " + "Computed mean chaos is %f %%.", + encoding_iana, + early_stop_count, + round(mean_mess_ratio * 100, ndigits=3), + ) + # Preparing those fallbacks in case we got nothing. + if ( + enable_fallback + and encoding_iana in ["ascii", "utf_8", specified_encoding] + and not lazy_str_hard_failure + ): + fallback_entry = CharsetMatch( + sequences, + encoding_iana, + threshold, + False, + [], + decoded_payload, + preemptive_declaration=specified_encoding, + ) + if encoding_iana == specified_encoding: + fallback_specified = fallback_entry + elif encoding_iana == "ascii": + fallback_ascii = fallback_entry + else: + fallback_u8 = fallback_entry + continue + + logger.log( + TRACE, + "%s passed initial chaos probing. Mean measured chaos is %f %%", + encoding_iana, + round(mean_mess_ratio * 100, ndigits=3), + ) + + if not is_multi_byte_decoder: + target_languages: List[str] = encoding_languages(encoding_iana) + else: + target_languages = mb_encoding_languages(encoding_iana) + + if target_languages: + logger.log( + TRACE, + "{} should target any language(s) of {}".format( + encoding_iana, str(target_languages) + ), + ) + + cd_ratios = [] + + # We shall skip the CD when its about ASCII + # Most of the time its not relevant to run "language-detection" on it. + if encoding_iana != "ascii": + for chunk in md_chunks: + chunk_languages = coherence_ratio( + chunk, + language_threshold, + ",".join(target_languages) if target_languages else None, + ) + + cd_ratios.append(chunk_languages) + + cd_ratios_merged = merge_coherence_ratios(cd_ratios) + + if cd_ratios_merged: + logger.log( + TRACE, + "We detected language {} using {}".format( + cd_ratios_merged, encoding_iana + ), + ) + + current_match = CharsetMatch( + sequences, + encoding_iana, + mean_mess_ratio, + bom_or_sig_available, + cd_ratios_merged, + ( + decoded_payload + if ( + is_too_large_sequence is False + or encoding_iana in [specified_encoding, "ascii", "utf_8"] + ) + else None + ), + preemptive_declaration=specified_encoding, + ) + + results.append(current_match) + + if ( + encoding_iana in [specified_encoding, "ascii", "utf_8"] + and mean_mess_ratio < 0.1 + ): + # If md says nothing to worry about, then... stop immediately! + if mean_mess_ratio == 0.0: + logger.debug( + "Encoding detection: %s is most likely the one.", + current_match.encoding, + ) + if explain: + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + return CharsetMatches([current_match]) + + early_stop_results.append(current_match) + + if ( + len(early_stop_results) + and (specified_encoding is None or specified_encoding in tested) + and "ascii" in tested + and "utf_8" in tested + ): + probable_result: CharsetMatch = early_stop_results.best() # type: ignore[assignment] + logger.debug( + "Encoding detection: %s is most likely the one.", + probable_result.encoding, + ) + if explain: + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + + return CharsetMatches([probable_result]) + + if encoding_iana == sig_encoding: + logger.debug( + "Encoding detection: %s is most likely the one as we detected a BOM or SIG within " + "the beginning of the sequence.", + encoding_iana, + ) + if explain: + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + return CharsetMatches([results[encoding_iana]]) + + if len(results) == 0: + if fallback_u8 or fallback_ascii or fallback_specified: + logger.log( + TRACE, + "Nothing got out of the detection process. Using ASCII/UTF-8/Specified fallback.", + ) + + if fallback_specified: + logger.debug( + "Encoding detection: %s will be used as a fallback match", + fallback_specified.encoding, + ) + results.append(fallback_specified) + elif ( + (fallback_u8 and fallback_ascii is None) + or ( + fallback_u8 + and fallback_ascii + and fallback_u8.fingerprint != fallback_ascii.fingerprint + ) + or (fallback_u8 is not None) + ): + logger.debug("Encoding detection: utf_8 will be used as a fallback match") + results.append(fallback_u8) + elif fallback_ascii: + logger.debug("Encoding detection: ascii will be used as a fallback match") + results.append(fallback_ascii) + + if results: + logger.debug( + "Encoding detection: Found %s as plausible (best-candidate) for content. With %i alternatives.", + results.best().encoding, # type: ignore + len(results) - 1, + ) + else: + logger.debug("Encoding detection: Unable to determine any suitable charset.") + + if explain: + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + + return results + + +def from_fp( + fp: BinaryIO, + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.20, + cp_isolation: Optional[List[str]] = None, + cp_exclusion: Optional[List[str]] = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = True, +) -> CharsetMatches: + """ + Same thing than the function from_bytes but using a file pointer that is already ready. + Will not close the file pointer. + """ + return from_bytes( + fp.read(), + steps, + chunk_size, + threshold, + cp_isolation, + cp_exclusion, + preemptive_behaviour, + explain, + language_threshold, + enable_fallback, + ) + + +def from_path( + path: Union[str, bytes, PathLike], # type: ignore[type-arg] + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.20, + cp_isolation: Optional[List[str]] = None, + cp_exclusion: Optional[List[str]] = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = True, +) -> CharsetMatches: + """ + Same thing than the function from_bytes but with one extra step. Opening and reading given file path in binary mode. + Can raise IOError. + """ + with open(path, "rb") as fp: + return from_fp( + fp, + steps, + chunk_size, + threshold, + cp_isolation, + cp_exclusion, + preemptive_behaviour, + explain, + language_threshold, + enable_fallback, + ) + + +def is_binary( + fp_or_path_or_payload: Union[PathLike, str, BinaryIO, bytes], # type: ignore[type-arg] + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.20, + cp_isolation: Optional[List[str]] = None, + cp_exclusion: Optional[List[str]] = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = False, +) -> bool: + """ + Detect if the given input (file, bytes, or path) points to a binary file. aka. not a string. + Based on the same main heuristic algorithms and default kwargs at the sole exception that fallbacks match + are disabled to be stricter around ASCII-compatible but unlikely to be a string. + """ + if isinstance(fp_or_path_or_payload, (str, PathLike)): + guesses = from_path( + fp_or_path_or_payload, + steps=steps, + chunk_size=chunk_size, + threshold=threshold, + cp_isolation=cp_isolation, + cp_exclusion=cp_exclusion, + preemptive_behaviour=preemptive_behaviour, + explain=explain, + language_threshold=language_threshold, + enable_fallback=enable_fallback, + ) + elif isinstance( + fp_or_path_or_payload, + ( + bytes, + bytearray, + ), + ): + guesses = from_bytes( + fp_or_path_or_payload, + steps=steps, + chunk_size=chunk_size, + threshold=threshold, + cp_isolation=cp_isolation, + cp_exclusion=cp_exclusion, + preemptive_behaviour=preemptive_behaviour, + explain=explain, + language_threshold=language_threshold, + enable_fallback=enable_fallback, + ) + else: + guesses = from_fp( + fp_or_path_or_payload, + steps=steps, + chunk_size=chunk_size, + threshold=threshold, + cp_isolation=cp_isolation, + cp_exclusion=cp_exclusion, + preemptive_behaviour=preemptive_behaviour, + explain=explain, + language_threshold=language_threshold, + enable_fallback=enable_fallback, + ) + + return not guesses diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/cd.py b/vllm/lib/python3.10/site-packages/charset_normalizer/cd.py new file mode 100644 index 0000000000000000000000000000000000000000..4ea6760c45bce5773bfe4b46d7b3c07c2c139d49 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/cd.py @@ -0,0 +1,395 @@ +import importlib +from codecs import IncrementalDecoder +from collections import Counter +from functools import lru_cache +from typing import Counter as TypeCounter, Dict, List, Optional, Tuple + +from .constant import ( + FREQUENCIES, + KO_NAMES, + LANGUAGE_SUPPORTED_COUNT, + TOO_SMALL_SEQUENCE, + ZH_NAMES, +) +from .md import is_suspiciously_successive_range +from .models import CoherenceMatches +from .utils import ( + is_accentuated, + is_latin, + is_multi_byte_encoding, + is_unicode_range_secondary, + unicode_range, +) + + +def encoding_unicode_range(iana_name: str) -> List[str]: + """ + Return associated unicode ranges in a single byte code page. + """ + if is_multi_byte_encoding(iana_name): + raise IOError("Function not supported on multi-byte code page") + + decoder = importlib.import_module( + "encodings.{}".format(iana_name) + ).IncrementalDecoder + + p: IncrementalDecoder = decoder(errors="ignore") + seen_ranges: Dict[str, int] = {} + character_count: int = 0 + + for i in range(0x40, 0xFF): + chunk: str = p.decode(bytes([i])) + + if chunk: + character_range: Optional[str] = unicode_range(chunk) + + if character_range is None: + continue + + if is_unicode_range_secondary(character_range) is False: + if character_range not in seen_ranges: + seen_ranges[character_range] = 0 + seen_ranges[character_range] += 1 + character_count += 1 + + return sorted( + [ + character_range + for character_range in seen_ranges + if seen_ranges[character_range] / character_count >= 0.15 + ] + ) + + +def unicode_range_languages(primary_range: str) -> List[str]: + """ + Return inferred languages used with a unicode range. + """ + languages: List[str] = [] + + for language, characters in FREQUENCIES.items(): + for character in characters: + if unicode_range(character) == primary_range: + languages.append(language) + break + + return languages + + +@lru_cache() +def encoding_languages(iana_name: str) -> List[str]: + """ + Single-byte encoding language association. Some code page are heavily linked to particular language(s). + This function does the correspondence. + """ + unicode_ranges: List[str] = encoding_unicode_range(iana_name) + primary_range: Optional[str] = None + + for specified_range in unicode_ranges: + if "Latin" not in specified_range: + primary_range = specified_range + break + + if primary_range is None: + return ["Latin Based"] + + return unicode_range_languages(primary_range) + + +@lru_cache() +def mb_encoding_languages(iana_name: str) -> List[str]: + """ + Multi-byte encoding language association. Some code page are heavily linked to particular language(s). + This function does the correspondence. + """ + if ( + iana_name.startswith("shift_") + or iana_name.startswith("iso2022_jp") + or iana_name.startswith("euc_j") + or iana_name == "cp932" + ): + return ["Japanese"] + if iana_name.startswith("gb") or iana_name in ZH_NAMES: + return ["Chinese"] + if iana_name.startswith("iso2022_kr") or iana_name in KO_NAMES: + return ["Korean"] + + return [] + + +@lru_cache(maxsize=LANGUAGE_SUPPORTED_COUNT) +def get_target_features(language: str) -> Tuple[bool, bool]: + """ + Determine main aspects from a supported language if it contains accents and if is pure Latin. + """ + target_have_accents: bool = False + target_pure_latin: bool = True + + for character in FREQUENCIES[language]: + if not target_have_accents and is_accentuated(character): + target_have_accents = True + if target_pure_latin and is_latin(character) is False: + target_pure_latin = False + + return target_have_accents, target_pure_latin + + +def alphabet_languages( + characters: List[str], ignore_non_latin: bool = False +) -> List[str]: + """ + Return associated languages associated to given characters. + """ + languages: List[Tuple[str, float]] = [] + + source_have_accents = any(is_accentuated(character) for character in characters) + + for language, language_characters in FREQUENCIES.items(): + target_have_accents, target_pure_latin = get_target_features(language) + + if ignore_non_latin and target_pure_latin is False: + continue + + if target_have_accents is False and source_have_accents: + continue + + character_count: int = len(language_characters) + + character_match_count: int = len( + [c for c in language_characters if c in characters] + ) + + ratio: float = character_match_count / character_count + + if ratio >= 0.2: + languages.append((language, ratio)) + + languages = sorted(languages, key=lambda x: x[1], reverse=True) + + return [compatible_language[0] for compatible_language in languages] + + +def characters_popularity_compare( + language: str, ordered_characters: List[str] +) -> float: + """ + Determine if a ordered characters list (by occurrence from most appearance to rarest) match a particular language. + The result is a ratio between 0. (absolutely no correspondence) and 1. (near perfect fit). + Beware that is function is not strict on the match in order to ease the detection. (Meaning close match is 1.) + """ + if language not in FREQUENCIES: + raise ValueError("{} not available".format(language)) + + character_approved_count: int = 0 + FREQUENCIES_language_set = set(FREQUENCIES[language]) + + ordered_characters_count: int = len(ordered_characters) + target_language_characters_count: int = len(FREQUENCIES[language]) + + large_alphabet: bool = target_language_characters_count > 26 + + for character, character_rank in zip( + ordered_characters, range(0, ordered_characters_count) + ): + if character not in FREQUENCIES_language_set: + continue + + character_rank_in_language: int = FREQUENCIES[language].index(character) + expected_projection_ratio: float = ( + target_language_characters_count / ordered_characters_count + ) + character_rank_projection: int = int(character_rank * expected_projection_ratio) + + if ( + large_alphabet is False + and abs(character_rank_projection - character_rank_in_language) > 4 + ): + continue + + if ( + large_alphabet is True + and abs(character_rank_projection - character_rank_in_language) + < target_language_characters_count / 3 + ): + character_approved_count += 1 + continue + + characters_before_source: List[str] = FREQUENCIES[language][ + 0:character_rank_in_language + ] + characters_after_source: List[str] = FREQUENCIES[language][ + character_rank_in_language: + ] + characters_before: List[str] = ordered_characters[0:character_rank] + characters_after: List[str] = ordered_characters[character_rank:] + + before_match_count: int = len( + set(characters_before) & set(characters_before_source) + ) + + after_match_count: int = len( + set(characters_after) & set(characters_after_source) + ) + + if len(characters_before_source) == 0 and before_match_count <= 4: + character_approved_count += 1 + continue + + if len(characters_after_source) == 0 and after_match_count <= 4: + character_approved_count += 1 + continue + + if ( + before_match_count / len(characters_before_source) >= 0.4 + or after_match_count / len(characters_after_source) >= 0.4 + ): + character_approved_count += 1 + continue + + return character_approved_count / len(ordered_characters) + + +def alpha_unicode_split(decoded_sequence: str) -> List[str]: + """ + Given a decoded text sequence, return a list of str. Unicode range / alphabet separation. + Ex. a text containing English/Latin with a bit a Hebrew will return two items in the resulting list; + One containing the latin letters and the other hebrew. + """ + layers: Dict[str, str] = {} + + for character in decoded_sequence: + if character.isalpha() is False: + continue + + character_range: Optional[str] = unicode_range(character) + + if character_range is None: + continue + + layer_target_range: Optional[str] = None + + for discovered_range in layers: + if ( + is_suspiciously_successive_range(discovered_range, character_range) + is False + ): + layer_target_range = discovered_range + break + + if layer_target_range is None: + layer_target_range = character_range + + if layer_target_range not in layers: + layers[layer_target_range] = character.lower() + continue + + layers[layer_target_range] += character.lower() + + return list(layers.values()) + + +def merge_coherence_ratios(results: List[CoherenceMatches]) -> CoherenceMatches: + """ + This function merge results previously given by the function coherence_ratio. + The return type is the same as coherence_ratio. + """ + per_language_ratios: Dict[str, List[float]] = {} + for result in results: + for sub_result in result: + language, ratio = sub_result + if language not in per_language_ratios: + per_language_ratios[language] = [ratio] + continue + per_language_ratios[language].append(ratio) + + merge = [ + ( + language, + round( + sum(per_language_ratios[language]) / len(per_language_ratios[language]), + 4, + ), + ) + for language in per_language_ratios + ] + + return sorted(merge, key=lambda x: x[1], reverse=True) + + +def filter_alt_coherence_matches(results: CoherenceMatches) -> CoherenceMatches: + """ + We shall NOT return "English—" in CoherenceMatches because it is an alternative + of "English". This function only keeps the best match and remove the em-dash in it. + """ + index_results: Dict[str, List[float]] = dict() + + for result in results: + language, ratio = result + no_em_name: str = language.replace("—", "") + + if no_em_name not in index_results: + index_results[no_em_name] = [] + + index_results[no_em_name].append(ratio) + + if any(len(index_results[e]) > 1 for e in index_results): + filtered_results: CoherenceMatches = [] + + for language in index_results: + filtered_results.append((language, max(index_results[language]))) + + return filtered_results + + return results + + +@lru_cache(maxsize=2048) +def coherence_ratio( + decoded_sequence: str, threshold: float = 0.1, lg_inclusion: Optional[str] = None +) -> CoherenceMatches: + """ + Detect ANY language that can be identified in given sequence. The sequence will be analysed by layers. + A layer = Character extraction by alphabets/ranges. + """ + + results: List[Tuple[str, float]] = [] + ignore_non_latin: bool = False + + sufficient_match_count: int = 0 + + lg_inclusion_list = lg_inclusion.split(",") if lg_inclusion is not None else [] + if "Latin Based" in lg_inclusion_list: + ignore_non_latin = True + lg_inclusion_list.remove("Latin Based") + + for layer in alpha_unicode_split(decoded_sequence): + sequence_frequencies: TypeCounter[str] = Counter(layer) + most_common = sequence_frequencies.most_common() + + character_count: int = sum(o for c, o in most_common) + + if character_count <= TOO_SMALL_SEQUENCE: + continue + + popular_character_ordered: List[str] = [c for c, o in most_common] + + for language in lg_inclusion_list or alphabet_languages( + popular_character_ordered, ignore_non_latin + ): + ratio: float = characters_popularity_compare( + language, popular_character_ordered + ) + + if ratio < threshold: + continue + elif ratio >= 0.8: + sufficient_match_count += 1 + + results.append((language, round(ratio, 4))) + + if sufficient_match_count >= 3: + break + + return sorted( + filter_alt_coherence_matches(results), key=lambda x: x[1], reverse=True + ) diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__init__.py b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d95fedfe5723713337f1a94ec8f0a00b6ca7816a --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__init__.py @@ -0,0 +1,6 @@ +from .__main__ import cli_detect, query_yes_no + +__all__ = ( + "cli_detect", + "query_yes_no", +) diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__main__.py b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..e7edd0fc84c6cb1ecbf74c96c3c84c8521427755 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__main__.py @@ -0,0 +1,320 @@ +import argparse +import sys +from json import dumps +from os.path import abspath, basename, dirname, join, realpath +from platform import python_version +from typing import List, Optional +from unicodedata import unidata_version + +import charset_normalizer.md as md_module +from charset_normalizer import from_fp +from charset_normalizer.models import CliDetectionResult +from charset_normalizer.version import __version__ + + +def query_yes_no(question: str, default: str = "yes") -> bool: + """Ask a yes/no question via input() and return their answer. + + "question" is a string that is presented to the user. + "default" is the presumed answer if the user just hits . + It must be "yes" (the default), "no" or None (meaning + an answer is required of the user). + + The "answer" return value is True for "yes" or False for "no". + + Credit goes to (c) https://stackoverflow.com/questions/3041986/apt-command-line-interface-like-yes-no-input + """ + valid = {"yes": True, "y": True, "ye": True, "no": False, "n": False} + if default is None: + prompt = " [y/n] " + elif default == "yes": + prompt = " [Y/n] " + elif default == "no": + prompt = " [y/N] " + else: + raise ValueError("invalid default answer: '%s'" % default) + + while True: + sys.stdout.write(question + prompt) + choice = input().lower() + if default is not None and choice == "": + return valid[default] + elif choice in valid: + return valid[choice] + else: + sys.stdout.write("Please respond with 'yes' or 'no' " "(or 'y' or 'n').\n") + + +def cli_detect(argv: Optional[List[str]] = None) -> int: + """ + CLI assistant using ARGV and ArgumentParser + :param argv: + :return: 0 if everything is fine, anything else equal trouble + """ + parser = argparse.ArgumentParser( + description="The Real First Universal Charset Detector. " + "Discover originating encoding used on text file. " + "Normalize text to unicode." + ) + + parser.add_argument( + "files", type=argparse.FileType("rb"), nargs="+", help="File(s) to be analysed" + ) + parser.add_argument( + "-v", + "--verbose", + action="store_true", + default=False, + dest="verbose", + help="Display complementary information about file if any. " + "Stdout will contain logs about the detection process.", + ) + parser.add_argument( + "-a", + "--with-alternative", + action="store_true", + default=False, + dest="alternatives", + help="Output complementary possibilities if any. Top-level JSON WILL be a list.", + ) + parser.add_argument( + "-n", + "--normalize", + action="store_true", + default=False, + dest="normalize", + help="Permit to normalize input file. If not set, program does not write anything.", + ) + parser.add_argument( + "-m", + "--minimal", + action="store_true", + default=False, + dest="minimal", + help="Only output the charset detected to STDOUT. Disabling JSON output.", + ) + parser.add_argument( + "-r", + "--replace", + action="store_true", + default=False, + dest="replace", + help="Replace file when trying to normalize it instead of creating a new one.", + ) + parser.add_argument( + "-f", + "--force", + action="store_true", + default=False, + dest="force", + help="Replace file without asking if you are sure, use this flag with caution.", + ) + parser.add_argument( + "-i", + "--no-preemptive", + action="store_true", + default=False, + dest="no_preemptive", + help="Disable looking at a charset declaration to hint the detector.", + ) + parser.add_argument( + "-t", + "--threshold", + action="store", + default=0.2, + type=float, + dest="threshold", + help="Define a custom maximum amount of chaos allowed in decoded content. 0. <= chaos <= 1.", + ) + parser.add_argument( + "--version", + action="version", + version="Charset-Normalizer {} - Python {} - Unicode {} - SpeedUp {}".format( + __version__, + python_version(), + unidata_version, + "OFF" if md_module.__file__.lower().endswith(".py") else "ON", + ), + help="Show version information and exit.", + ) + + args = parser.parse_args(argv) + + if args.replace is True and args.normalize is False: + if args.files: + for my_file in args.files: + my_file.close() + print("Use --replace in addition of --normalize only.", file=sys.stderr) + return 1 + + if args.force is True and args.replace is False: + if args.files: + for my_file in args.files: + my_file.close() + print("Use --force in addition of --replace only.", file=sys.stderr) + return 1 + + if args.threshold < 0.0 or args.threshold > 1.0: + if args.files: + for my_file in args.files: + my_file.close() + print("--threshold VALUE should be between 0. AND 1.", file=sys.stderr) + return 1 + + x_ = [] + + for my_file in args.files: + matches = from_fp( + my_file, + threshold=args.threshold, + explain=args.verbose, + preemptive_behaviour=args.no_preemptive is False, + ) + + best_guess = matches.best() + + if best_guess is None: + print( + 'Unable to identify originating encoding for "{}". {}'.format( + my_file.name, + ( + "Maybe try increasing maximum amount of chaos." + if args.threshold < 1.0 + else "" + ), + ), + file=sys.stderr, + ) + x_.append( + CliDetectionResult( + abspath(my_file.name), + None, + [], + [], + "Unknown", + [], + False, + 1.0, + 0.0, + None, + True, + ) + ) + else: + x_.append( + CliDetectionResult( + abspath(my_file.name), + best_guess.encoding, + best_guess.encoding_aliases, + [ + cp + for cp in best_guess.could_be_from_charset + if cp != best_guess.encoding + ], + best_guess.language, + best_guess.alphabets, + best_guess.bom, + best_guess.percent_chaos, + best_guess.percent_coherence, + None, + True, + ) + ) + + if len(matches) > 1 and args.alternatives: + for el in matches: + if el != best_guess: + x_.append( + CliDetectionResult( + abspath(my_file.name), + el.encoding, + el.encoding_aliases, + [ + cp + for cp in el.could_be_from_charset + if cp != el.encoding + ], + el.language, + el.alphabets, + el.bom, + el.percent_chaos, + el.percent_coherence, + None, + False, + ) + ) + + if args.normalize is True: + if best_guess.encoding.startswith("utf") is True: + print( + '"{}" file does not need to be normalized, as it already came from unicode.'.format( + my_file.name + ), + file=sys.stderr, + ) + if my_file.closed is False: + my_file.close() + continue + + dir_path = dirname(realpath(my_file.name)) + file_name = basename(realpath(my_file.name)) + + o_: List[str] = file_name.split(".") + + if args.replace is False: + o_.insert(-1, best_guess.encoding) + if my_file.closed is False: + my_file.close() + elif ( + args.force is False + and query_yes_no( + 'Are you sure to normalize "{}" by replacing it ?'.format( + my_file.name + ), + "no", + ) + is False + ): + if my_file.closed is False: + my_file.close() + continue + + try: + x_[0].unicode_path = join(dir_path, ".".join(o_)) + + with open(x_[0].unicode_path, "wb") as fp: + fp.write(best_guess.output()) + except IOError as e: + print(str(e), file=sys.stderr) + if my_file.closed is False: + my_file.close() + return 2 + + if my_file.closed is False: + my_file.close() + + if args.minimal is False: + print( + dumps( + [el.__dict__ for el in x_] if len(x_) > 1 else x_[0].__dict__, + ensure_ascii=True, + indent=4, + ) + ) + else: + for my_file in args.files: + print( + ", ".join( + [ + el.encoding or "undefined" + for el in x_ + if el.path == abspath(my_file.name) + ] + ) + ) + + return 0 + + +if __name__ == "__main__": + cli_detect() diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__pycache__/__init__.cpython-310.pyc b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d2bde1c97191b73b5e4e7a0e721ff2136fe58a8a Binary files /dev/null and b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__pycache__/__init__.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__pycache__/__main__.cpython-310.pyc b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__pycache__/__main__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..68ddbb3a8c3dfefd2d9638cb18397319bbe6e100 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/charset_normalizer/cli/__pycache__/__main__.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/legacy.py b/vllm/lib/python3.10/site-packages/charset_normalizer/legacy.py new file mode 100644 index 0000000000000000000000000000000000000000..3f6d49079769acfe4f52048125b437e96d6ee12e --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/legacy.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING, Any, Optional +from warnings import warn + +from .api import from_bytes +from .constant import CHARDET_CORRESPONDENCE + +# TODO: remove this check when dropping Python 3.7 support +if TYPE_CHECKING: + from typing_extensions import TypedDict + + class ResultDict(TypedDict): + encoding: Optional[str] + language: str + confidence: Optional[float] + + +def detect( + byte_str: bytes, should_rename_legacy: bool = False, **kwargs: Any +) -> ResultDict: + """ + chardet legacy method + Detect the encoding of the given byte string. It should be mostly backward-compatible. + Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it) + This function is deprecated and should be used to migrate your project easily, consult the documentation for + further information. Not planned for removal. + + :param byte_str: The byte sequence to examine. + :param should_rename_legacy: Should we rename legacy encodings + to their more modern equivalents? + """ + if len(kwargs): + warn( + f"charset-normalizer disregard arguments '{','.join(list(kwargs.keys()))}' in legacy function detect()" + ) + + if not isinstance(byte_str, (bytearray, bytes)): + raise TypeError( # pragma: nocover + "Expected object of type bytes or bytearray, got: " + "{0}".format(type(byte_str)) + ) + + if isinstance(byte_str, bytearray): + byte_str = bytes(byte_str) + + r = from_bytes(byte_str).best() + + encoding = r.encoding if r is not None else None + language = r.language if r is not None and r.language != "Unknown" else "" + confidence = 1.0 - r.chaos if r is not None else None + + # Note: CharsetNormalizer does not return 'UTF-8-SIG' as the sig get stripped in the detection/normalization process + # but chardet does return 'utf-8-sig' and it is a valid codec name. + if r is not None and encoding == "utf_8" and r.bom: + encoding += "_sig" + + if should_rename_legacy is False and encoding in CHARDET_CORRESPONDENCE: + encoding = CHARDET_CORRESPONDENCE[encoding] + + return { + "encoding": encoding, + "language": language, + "confidence": confidence, + } diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/md.cpython-310-x86_64-linux-gnu.so b/vllm/lib/python3.10/site-packages/charset_normalizer/md.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..3824a428ffd621958e1f1f22dfd105c58417ffd0 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/charset_normalizer/md.cpython-310-x86_64-linux-gnu.so differ diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/md.py b/vllm/lib/python3.10/site-packages/charset_normalizer/md.py new file mode 100644 index 0000000000000000000000000000000000000000..d834db0e4d361df1ec838a137d2c500947f08a75 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/md.py @@ -0,0 +1,628 @@ +from functools import lru_cache +from logging import getLogger +from typing import List, Optional + +from .constant import ( + COMMON_SAFE_ASCII_CHARACTERS, + TRACE, + UNICODE_SECONDARY_RANGE_KEYWORD, +) +from .utils import ( + is_accentuated, + is_arabic, + is_arabic_isolated_form, + is_case_variable, + is_cjk, + is_emoticon, + is_hangul, + is_hiragana, + is_katakana, + is_latin, + is_punctuation, + is_separator, + is_symbol, + is_thai, + is_unprintable, + remove_accent, + unicode_range, +) + + +class MessDetectorPlugin: + """ + Base abstract class used for mess detection plugins. + All detectors MUST extend and implement given methods. + """ + + def eligible(self, character: str) -> bool: + """ + Determine if given character should be fed in. + """ + raise NotImplementedError # pragma: nocover + + def feed(self, character: str) -> None: + """ + The main routine to be executed upon character. + Insert the logic in witch the text would be considered chaotic. + """ + raise NotImplementedError # pragma: nocover + + def reset(self) -> None: # pragma: no cover + """ + Permit to reset the plugin to the initial state. + """ + raise NotImplementedError + + @property + def ratio(self) -> float: + """ + Compute the chaos ratio based on what your feed() has seen. + Must NOT be lower than 0.; No restriction gt 0. + """ + raise NotImplementedError # pragma: nocover + + +class TooManySymbolOrPunctuationPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._punctuation_count: int = 0 + self._symbol_count: int = 0 + self._character_count: int = 0 + + self._last_printable_char: Optional[str] = None + self._frenzy_symbol_in_word: bool = False + + def eligible(self, character: str) -> bool: + return character.isprintable() + + def feed(self, character: str) -> None: + self._character_count += 1 + + if ( + character != self._last_printable_char + and character not in COMMON_SAFE_ASCII_CHARACTERS + ): + if is_punctuation(character): + self._punctuation_count += 1 + elif ( + character.isdigit() is False + and is_symbol(character) + and is_emoticon(character) is False + ): + self._symbol_count += 2 + + self._last_printable_char = character + + def reset(self) -> None: # pragma: no cover + self._punctuation_count = 0 + self._character_count = 0 + self._symbol_count = 0 + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + ratio_of_punctuation: float = ( + self._punctuation_count + self._symbol_count + ) / self._character_count + + return ratio_of_punctuation if ratio_of_punctuation >= 0.3 else 0.0 + + +class TooManyAccentuatedPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._character_count: int = 0 + self._accentuated_count: int = 0 + + def eligible(self, character: str) -> bool: + return character.isalpha() + + def feed(self, character: str) -> None: + self._character_count += 1 + + if is_accentuated(character): + self._accentuated_count += 1 + + def reset(self) -> None: # pragma: no cover + self._character_count = 0 + self._accentuated_count = 0 + + @property + def ratio(self) -> float: + if self._character_count < 8: + return 0.0 + + ratio_of_accentuation: float = self._accentuated_count / self._character_count + return ratio_of_accentuation if ratio_of_accentuation >= 0.35 else 0.0 + + +class UnprintablePlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._unprintable_count: int = 0 + self._character_count: int = 0 + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + if is_unprintable(character): + self._unprintable_count += 1 + self._character_count += 1 + + def reset(self) -> None: # pragma: no cover + self._unprintable_count = 0 + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + return (self._unprintable_count * 8) / self._character_count + + +class SuspiciousDuplicateAccentPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._successive_count: int = 0 + self._character_count: int = 0 + + self._last_latin_character: Optional[str] = None + + def eligible(self, character: str) -> bool: + return character.isalpha() and is_latin(character) + + def feed(self, character: str) -> None: + self._character_count += 1 + if ( + self._last_latin_character is not None + and is_accentuated(character) + and is_accentuated(self._last_latin_character) + ): + if character.isupper() and self._last_latin_character.isupper(): + self._successive_count += 1 + # Worse if its the same char duplicated with different accent. + if remove_accent(character) == remove_accent(self._last_latin_character): + self._successive_count += 1 + self._last_latin_character = character + + def reset(self) -> None: # pragma: no cover + self._successive_count = 0 + self._character_count = 0 + self._last_latin_character = None + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + return (self._successive_count * 2) / self._character_count + + +class SuspiciousRange(MessDetectorPlugin): + def __init__(self) -> None: + self._suspicious_successive_range_count: int = 0 + self._character_count: int = 0 + self._last_printable_seen: Optional[str] = None + + def eligible(self, character: str) -> bool: + return character.isprintable() + + def feed(self, character: str) -> None: + self._character_count += 1 + + if ( + character.isspace() + or is_punctuation(character) + or character in COMMON_SAFE_ASCII_CHARACTERS + ): + self._last_printable_seen = None + return + + if self._last_printable_seen is None: + self._last_printable_seen = character + return + + unicode_range_a: Optional[str] = unicode_range(self._last_printable_seen) + unicode_range_b: Optional[str] = unicode_range(character) + + if is_suspiciously_successive_range(unicode_range_a, unicode_range_b): + self._suspicious_successive_range_count += 1 + + self._last_printable_seen = character + + def reset(self) -> None: # pragma: no cover + self._character_count = 0 + self._suspicious_successive_range_count = 0 + self._last_printable_seen = None + + @property + def ratio(self) -> float: + if self._character_count <= 13: + return 0.0 + + ratio_of_suspicious_range_usage: float = ( + self._suspicious_successive_range_count * 2 + ) / self._character_count + + return ratio_of_suspicious_range_usage + + +class SuperWeirdWordPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._word_count: int = 0 + self._bad_word_count: int = 0 + self._foreign_long_count: int = 0 + + self._is_current_word_bad: bool = False + self._foreign_long_watch: bool = False + + self._character_count: int = 0 + self._bad_character_count: int = 0 + + self._buffer: str = "" + self._buffer_accent_count: int = 0 + self._buffer_glyph_count: int = 0 + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + if character.isalpha(): + self._buffer += character + if is_accentuated(character): + self._buffer_accent_count += 1 + if ( + self._foreign_long_watch is False + and (is_latin(character) is False or is_accentuated(character)) + and is_cjk(character) is False + and is_hangul(character) is False + and is_katakana(character) is False + and is_hiragana(character) is False + and is_thai(character) is False + ): + self._foreign_long_watch = True + if ( + is_cjk(character) + or is_hangul(character) + or is_katakana(character) + or is_hiragana(character) + or is_thai(character) + ): + self._buffer_glyph_count += 1 + return + if not self._buffer: + return + if ( + character.isspace() or is_punctuation(character) or is_separator(character) + ) and self._buffer: + self._word_count += 1 + buffer_length: int = len(self._buffer) + + self._character_count += buffer_length + + if buffer_length >= 4: + if self._buffer_accent_count / buffer_length >= 0.5: + self._is_current_word_bad = True + # Word/Buffer ending with an upper case accentuated letter are so rare, + # that we will consider them all as suspicious. Same weight as foreign_long suspicious. + elif ( + is_accentuated(self._buffer[-1]) + and self._buffer[-1].isupper() + and all(_.isupper() for _ in self._buffer) is False + ): + self._foreign_long_count += 1 + self._is_current_word_bad = True + elif self._buffer_glyph_count == 1: + self._is_current_word_bad = True + self._foreign_long_count += 1 + if buffer_length >= 24 and self._foreign_long_watch: + camel_case_dst = [ + i + for c, i in zip(self._buffer, range(0, buffer_length)) + if c.isupper() + ] + probable_camel_cased: bool = False + + if camel_case_dst and (len(camel_case_dst) / buffer_length <= 0.3): + probable_camel_cased = True + + if not probable_camel_cased: + self._foreign_long_count += 1 + self._is_current_word_bad = True + + if self._is_current_word_bad: + self._bad_word_count += 1 + self._bad_character_count += len(self._buffer) + self._is_current_word_bad = False + + self._foreign_long_watch = False + self._buffer = "" + self._buffer_accent_count = 0 + self._buffer_glyph_count = 0 + elif ( + character not in {"<", ">", "-", "=", "~", "|", "_"} + and character.isdigit() is False + and is_symbol(character) + ): + self._is_current_word_bad = True + self._buffer += character + + def reset(self) -> None: # pragma: no cover + self._buffer = "" + self._is_current_word_bad = False + self._foreign_long_watch = False + self._bad_word_count = 0 + self._word_count = 0 + self._character_count = 0 + self._bad_character_count = 0 + self._foreign_long_count = 0 + + @property + def ratio(self) -> float: + if self._word_count <= 10 and self._foreign_long_count == 0: + return 0.0 + + return self._bad_character_count / self._character_count + + +class CjkInvalidStopPlugin(MessDetectorPlugin): + """ + GB(Chinese) based encoding often render the stop incorrectly when the content does not fit and + can be easily detected. Searching for the overuse of '丅' and '丄'. + """ + + def __init__(self) -> None: + self._wrong_stop_count: int = 0 + self._cjk_character_count: int = 0 + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + if character in {"丅", "丄"}: + self._wrong_stop_count += 1 + return + if is_cjk(character): + self._cjk_character_count += 1 + + def reset(self) -> None: # pragma: no cover + self._wrong_stop_count = 0 + self._cjk_character_count = 0 + + @property + def ratio(self) -> float: + if self._cjk_character_count < 16: + return 0.0 + return self._wrong_stop_count / self._cjk_character_count + + +class ArchaicUpperLowerPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._buf: bool = False + + self._character_count_since_last_sep: int = 0 + + self._successive_upper_lower_count: int = 0 + self._successive_upper_lower_count_final: int = 0 + + self._character_count: int = 0 + + self._last_alpha_seen: Optional[str] = None + self._current_ascii_only: bool = True + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + is_concerned = character.isalpha() and is_case_variable(character) + chunk_sep = is_concerned is False + + if chunk_sep and self._character_count_since_last_sep > 0: + if ( + self._character_count_since_last_sep <= 64 + and character.isdigit() is False + and self._current_ascii_only is False + ): + self._successive_upper_lower_count_final += ( + self._successive_upper_lower_count + ) + + self._successive_upper_lower_count = 0 + self._character_count_since_last_sep = 0 + self._last_alpha_seen = None + self._buf = False + self._character_count += 1 + self._current_ascii_only = True + + return + + if self._current_ascii_only is True and character.isascii() is False: + self._current_ascii_only = False + + if self._last_alpha_seen is not None: + if (character.isupper() and self._last_alpha_seen.islower()) or ( + character.islower() and self._last_alpha_seen.isupper() + ): + if self._buf is True: + self._successive_upper_lower_count += 2 + self._buf = False + else: + self._buf = True + else: + self._buf = False + + self._character_count += 1 + self._character_count_since_last_sep += 1 + self._last_alpha_seen = character + + def reset(self) -> None: # pragma: no cover + self._character_count = 0 + self._character_count_since_last_sep = 0 + self._successive_upper_lower_count = 0 + self._successive_upper_lower_count_final = 0 + self._last_alpha_seen = None + self._buf = False + self._current_ascii_only = True + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + return self._successive_upper_lower_count_final / self._character_count + + +class ArabicIsolatedFormPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._character_count: int = 0 + self._isolated_form_count: int = 0 + + def reset(self) -> None: # pragma: no cover + self._character_count = 0 + self._isolated_form_count = 0 + + def eligible(self, character: str) -> bool: + return is_arabic(character) + + def feed(self, character: str) -> None: + self._character_count += 1 + + if is_arabic_isolated_form(character): + self._isolated_form_count += 1 + + @property + def ratio(self) -> float: + if self._character_count < 8: + return 0.0 + + isolated_form_usage: float = self._isolated_form_count / self._character_count + + return isolated_form_usage + + +@lru_cache(maxsize=1024) +def is_suspiciously_successive_range( + unicode_range_a: Optional[str], unicode_range_b: Optional[str] +) -> bool: + """ + Determine if two Unicode range seen next to each other can be considered as suspicious. + """ + if unicode_range_a is None or unicode_range_b is None: + return True + + if unicode_range_a == unicode_range_b: + return False + + if "Latin" in unicode_range_a and "Latin" in unicode_range_b: + return False + + if "Emoticons" in unicode_range_a or "Emoticons" in unicode_range_b: + return False + + # Latin characters can be accompanied with a combining diacritical mark + # eg. Vietnamese. + if ("Latin" in unicode_range_a or "Latin" in unicode_range_b) and ( + "Combining" in unicode_range_a or "Combining" in unicode_range_b + ): + return False + + keywords_range_a, keywords_range_b = unicode_range_a.split( + " " + ), unicode_range_b.split(" ") + + for el in keywords_range_a: + if el in UNICODE_SECONDARY_RANGE_KEYWORD: + continue + if el in keywords_range_b: + return False + + # Japanese Exception + range_a_jp_chars, range_b_jp_chars = ( + unicode_range_a + in ( + "Hiragana", + "Katakana", + ), + unicode_range_b in ("Hiragana", "Katakana"), + ) + if (range_a_jp_chars or range_b_jp_chars) and ( + "CJK" in unicode_range_a or "CJK" in unicode_range_b + ): + return False + if range_a_jp_chars and range_b_jp_chars: + return False + + if "Hangul" in unicode_range_a or "Hangul" in unicode_range_b: + if "CJK" in unicode_range_a or "CJK" in unicode_range_b: + return False + if unicode_range_a == "Basic Latin" or unicode_range_b == "Basic Latin": + return False + + # Chinese/Japanese use dedicated range for punctuation and/or separators. + if ("CJK" in unicode_range_a or "CJK" in unicode_range_b) or ( + unicode_range_a in ["Katakana", "Hiragana"] + and unicode_range_b in ["Katakana", "Hiragana"] + ): + if "Punctuation" in unicode_range_a or "Punctuation" in unicode_range_b: + return False + if "Forms" in unicode_range_a or "Forms" in unicode_range_b: + return False + if unicode_range_a == "Basic Latin" or unicode_range_b == "Basic Latin": + return False + + return True + + +@lru_cache(maxsize=2048) +def mess_ratio( + decoded_sequence: str, maximum_threshold: float = 0.2, debug: bool = False +) -> float: + """ + Compute a mess ratio given a decoded bytes sequence. The maximum threshold does stop the computation earlier. + """ + + detectors: List[MessDetectorPlugin] = [ + md_class() for md_class in MessDetectorPlugin.__subclasses__() + ] + + length: int = len(decoded_sequence) + 1 + + mean_mess_ratio: float = 0.0 + + if length < 512: + intermediary_mean_mess_ratio_calc: int = 32 + elif length <= 1024: + intermediary_mean_mess_ratio_calc = 64 + else: + intermediary_mean_mess_ratio_calc = 128 + + for character, index in zip(decoded_sequence + "\n", range(length)): + for detector in detectors: + if detector.eligible(character): + detector.feed(character) + + if ( + index > 0 and index % intermediary_mean_mess_ratio_calc == 0 + ) or index == length - 1: + mean_mess_ratio = sum(dt.ratio for dt in detectors) + + if mean_mess_ratio >= maximum_threshold: + break + + if debug: + logger = getLogger("charset_normalizer") + + logger.log( + TRACE, + "Mess-detector extended-analysis start. " + f"intermediary_mean_mess_ratio_calc={intermediary_mean_mess_ratio_calc} mean_mess_ratio={mean_mess_ratio} " + f"maximum_threshold={maximum_threshold}", + ) + + if len(decoded_sequence) > 16: + logger.log(TRACE, f"Starting with: {decoded_sequence[:16]}") + logger.log(TRACE, f"Ending with: {decoded_sequence[-16::]}") + + for dt in detectors: # pragma: nocover + logger.log(TRACE, f"{dt.__class__}: {dt.ratio}") + + return round(mean_mess_ratio, 3) diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/models.py b/vllm/lib/python3.10/site-packages/charset_normalizer/models.py new file mode 100644 index 0000000000000000000000000000000000000000..6f6b86b382d28ef95f4db86a5ae7d77961e8c230 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/models.py @@ -0,0 +1,359 @@ +from encodings.aliases import aliases +from hashlib import sha256 +from json import dumps +from re import sub +from typing import Any, Dict, Iterator, List, Optional, Tuple, Union + +from .constant import RE_POSSIBLE_ENCODING_INDICATION, TOO_BIG_SEQUENCE +from .utils import iana_name, is_multi_byte_encoding, unicode_range + + +class CharsetMatch: + def __init__( + self, + payload: bytes, + guessed_encoding: str, + mean_mess_ratio: float, + has_sig_or_bom: bool, + languages: "CoherenceMatches", + decoded_payload: Optional[str] = None, + preemptive_declaration: Optional[str] = None, + ): + self._payload: bytes = payload + + self._encoding: str = guessed_encoding + self._mean_mess_ratio: float = mean_mess_ratio + self._languages: CoherenceMatches = languages + self._has_sig_or_bom: bool = has_sig_or_bom + self._unicode_ranges: Optional[List[str]] = None + + self._leaves: List[CharsetMatch] = [] + self._mean_coherence_ratio: float = 0.0 + + self._output_payload: Optional[bytes] = None + self._output_encoding: Optional[str] = None + + self._string: Optional[str] = decoded_payload + + self._preemptive_declaration: Optional[str] = preemptive_declaration + + def __eq__(self, other: object) -> bool: + if not isinstance(other, CharsetMatch): + if isinstance(other, str): + return iana_name(other) == self.encoding + return False + return self.encoding == other.encoding and self.fingerprint == other.fingerprint + + def __lt__(self, other: object) -> bool: + """ + Implemented to make sorted available upon CharsetMatches items. + """ + if not isinstance(other, CharsetMatch): + raise ValueError + + chaos_difference: float = abs(self.chaos - other.chaos) + coherence_difference: float = abs(self.coherence - other.coherence) + + # Below 1% difference --> Use Coherence + if chaos_difference < 0.01 and coherence_difference > 0.02: + return self.coherence > other.coherence + elif chaos_difference < 0.01 and coherence_difference <= 0.02: + # When having a difficult decision, use the result that decoded as many multi-byte as possible. + # preserve RAM usage! + if len(self._payload) >= TOO_BIG_SEQUENCE: + return self.chaos < other.chaos + return self.multi_byte_usage > other.multi_byte_usage + + return self.chaos < other.chaos + + @property + def multi_byte_usage(self) -> float: + return 1.0 - (len(str(self)) / len(self.raw)) + + def __str__(self) -> str: + # Lazy Str Loading + if self._string is None: + self._string = str(self._payload, self._encoding, "strict") + return self._string + + def __repr__(self) -> str: + return "".format(self.encoding, self.fingerprint) + + def add_submatch(self, other: "CharsetMatch") -> None: + if not isinstance(other, CharsetMatch) or other == self: + raise ValueError( + "Unable to add instance <{}> as a submatch of a CharsetMatch".format( + other.__class__ + ) + ) + + other._string = None # Unload RAM usage; dirty trick. + self._leaves.append(other) + + @property + def encoding(self) -> str: + return self._encoding + + @property + def encoding_aliases(self) -> List[str]: + """ + Encoding name are known by many name, using this could help when searching for IBM855 when it's listed as CP855. + """ + also_known_as: List[str] = [] + for u, p in aliases.items(): + if self.encoding == u: + also_known_as.append(p) + elif self.encoding == p: + also_known_as.append(u) + return also_known_as + + @property + def bom(self) -> bool: + return self._has_sig_or_bom + + @property + def byte_order_mark(self) -> bool: + return self._has_sig_or_bom + + @property + def languages(self) -> List[str]: + """ + Return the complete list of possible languages found in decoded sequence. + Usually not really useful. Returned list may be empty even if 'language' property return something != 'Unknown'. + """ + return [e[0] for e in self._languages] + + @property + def language(self) -> str: + """ + Most probable language found in decoded sequence. If none were detected or inferred, the property will return + "Unknown". + """ + if not self._languages: + # Trying to infer the language based on the given encoding + # Its either English or we should not pronounce ourselves in certain cases. + if "ascii" in self.could_be_from_charset: + return "English" + + # doing it there to avoid circular import + from charset_normalizer.cd import encoding_languages, mb_encoding_languages + + languages = ( + mb_encoding_languages(self.encoding) + if is_multi_byte_encoding(self.encoding) + else encoding_languages(self.encoding) + ) + + if len(languages) == 0 or "Latin Based" in languages: + return "Unknown" + + return languages[0] + + return self._languages[0][0] + + @property + def chaos(self) -> float: + return self._mean_mess_ratio + + @property + def coherence(self) -> float: + if not self._languages: + return 0.0 + return self._languages[0][1] + + @property + def percent_chaos(self) -> float: + return round(self.chaos * 100, ndigits=3) + + @property + def percent_coherence(self) -> float: + return round(self.coherence * 100, ndigits=3) + + @property + def raw(self) -> bytes: + """ + Original untouched bytes. + """ + return self._payload + + @property + def submatch(self) -> List["CharsetMatch"]: + return self._leaves + + @property + def has_submatch(self) -> bool: + return len(self._leaves) > 0 + + @property + def alphabets(self) -> List[str]: + if self._unicode_ranges is not None: + return self._unicode_ranges + # list detected ranges + detected_ranges: List[Optional[str]] = [ + unicode_range(char) for char in str(self) + ] + # filter and sort + self._unicode_ranges = sorted(list({r for r in detected_ranges if r})) + return self._unicode_ranges + + @property + def could_be_from_charset(self) -> List[str]: + """ + The complete list of encoding that output the exact SAME str result and therefore could be the originating + encoding. + This list does include the encoding available in property 'encoding'. + """ + return [self._encoding] + [m.encoding for m in self._leaves] + + def output(self, encoding: str = "utf_8") -> bytes: + """ + Method to get re-encoded bytes payload using given target encoding. Default to UTF-8. + Any errors will be simply ignored by the encoder NOT replaced. + """ + if self._output_encoding is None or self._output_encoding != encoding: + self._output_encoding = encoding + decoded_string = str(self) + if ( + self._preemptive_declaration is not None + and self._preemptive_declaration.lower() + not in ["utf-8", "utf8", "utf_8"] + ): + patched_header = sub( + RE_POSSIBLE_ENCODING_INDICATION, + lambda m: m.string[m.span()[0] : m.span()[1]].replace( + m.groups()[0], iana_name(self._output_encoding) # type: ignore[arg-type] + ), + decoded_string[:8192], + 1, + ) + + decoded_string = patched_header + decoded_string[8192:] + + self._output_payload = decoded_string.encode(encoding, "replace") + + return self._output_payload # type: ignore + + @property + def fingerprint(self) -> str: + """ + Retrieve the unique SHA256 computed using the transformed (re-encoded) payload. Not the original one. + """ + return sha256(self.output()).hexdigest() + + +class CharsetMatches: + """ + Container with every CharsetMatch items ordered by default from most probable to the less one. + Act like a list(iterable) but does not implements all related methods. + """ + + def __init__(self, results: Optional[List[CharsetMatch]] = None): + self._results: List[CharsetMatch] = sorted(results) if results else [] + + def __iter__(self) -> Iterator[CharsetMatch]: + yield from self._results + + def __getitem__(self, item: Union[int, str]) -> CharsetMatch: + """ + Retrieve a single item either by its position or encoding name (alias may be used here). + Raise KeyError upon invalid index or encoding not present in results. + """ + if isinstance(item, int): + return self._results[item] + if isinstance(item, str): + item = iana_name(item, False) + for result in self._results: + if item in result.could_be_from_charset: + return result + raise KeyError + + def __len__(self) -> int: + return len(self._results) + + def __bool__(self) -> bool: + return len(self._results) > 0 + + def append(self, item: CharsetMatch) -> None: + """ + Insert a single match. Will be inserted accordingly to preserve sort. + Can be inserted as a submatch. + """ + if not isinstance(item, CharsetMatch): + raise ValueError( + "Cannot append instance '{}' to CharsetMatches".format( + str(item.__class__) + ) + ) + # We should disable the submatch factoring when the input file is too heavy (conserve RAM usage) + if len(item.raw) < TOO_BIG_SEQUENCE: + for match in self._results: + if match.fingerprint == item.fingerprint and match.chaos == item.chaos: + match.add_submatch(item) + return + self._results.append(item) + self._results = sorted(self._results) + + def best(self) -> Optional["CharsetMatch"]: + """ + Simply return the first match. Strict equivalent to matches[0]. + """ + if not self._results: + return None + return self._results[0] + + def first(self) -> Optional["CharsetMatch"]: + """ + Redundant method, call the method best(). Kept for BC reasons. + """ + return self.best() + + +CoherenceMatch = Tuple[str, float] +CoherenceMatches = List[CoherenceMatch] + + +class CliDetectionResult: + def __init__( + self, + path: str, + encoding: Optional[str], + encoding_aliases: List[str], + alternative_encodings: List[str], + language: str, + alphabets: List[str], + has_sig_or_bom: bool, + chaos: float, + coherence: float, + unicode_path: Optional[str], + is_preferred: bool, + ): + self.path: str = path + self.unicode_path: Optional[str] = unicode_path + self.encoding: Optional[str] = encoding + self.encoding_aliases: List[str] = encoding_aliases + self.alternative_encodings: List[str] = alternative_encodings + self.language: str = language + self.alphabets: List[str] = alphabets + self.has_sig_or_bom: bool = has_sig_or_bom + self.chaos: float = chaos + self.coherence: float = coherence + self.is_preferred: bool = is_preferred + + @property + def __dict__(self) -> Dict[str, Any]: # type: ignore + return { + "path": self.path, + "encoding": self.encoding, + "encoding_aliases": self.encoding_aliases, + "alternative_encodings": self.alternative_encodings, + "language": self.language, + "alphabets": self.alphabets, + "has_sig_or_bom": self.has_sig_or_bom, + "chaos": self.chaos, + "coherence": self.coherence, + "unicode_path": self.unicode_path, + "is_preferred": self.is_preferred, + } + + def to_json(self) -> str: + return dumps(self.__dict__, ensure_ascii=True, indent=4) diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/py.typed b/vllm/lib/python3.10/site-packages/charset_normalizer/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/utils.py b/vllm/lib/python3.10/site-packages/charset_normalizer/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..e5cbbf4c0ddfa5c1b5898d8a4405e27292100d41 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/utils.py @@ -0,0 +1,421 @@ +import importlib +import logging +import unicodedata +from codecs import IncrementalDecoder +from encodings.aliases import aliases +from functools import lru_cache +from re import findall +from typing import Generator, List, Optional, Set, Tuple, Union + +from _multibytecodec import MultibyteIncrementalDecoder + +from .constant import ( + ENCODING_MARKS, + IANA_SUPPORTED_SIMILAR, + RE_POSSIBLE_ENCODING_INDICATION, + UNICODE_RANGES_COMBINED, + UNICODE_SECONDARY_RANGE_KEYWORD, + UTF8_MAXIMAL_ALLOCATION, +) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_accentuated(character: str) -> bool: + try: + description: str = unicodedata.name(character) + except ValueError: + return False + return ( + "WITH GRAVE" in description + or "WITH ACUTE" in description + or "WITH CEDILLA" in description + or "WITH DIAERESIS" in description + or "WITH CIRCUMFLEX" in description + or "WITH TILDE" in description + or "WITH MACRON" in description + or "WITH RING ABOVE" in description + ) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def remove_accent(character: str) -> str: + decomposed: str = unicodedata.decomposition(character) + if not decomposed: + return character + + codes: List[str] = decomposed.split(" ") + + return chr(int(codes[0], 16)) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def unicode_range(character: str) -> Optional[str]: + """ + Retrieve the Unicode range official name from a single character. + """ + character_ord: int = ord(character) + + for range_name, ord_range in UNICODE_RANGES_COMBINED.items(): + if character_ord in ord_range: + return range_name + + return None + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_latin(character: str) -> bool: + try: + description: str = unicodedata.name(character) + except ValueError: + return False + return "LATIN" in description + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_punctuation(character: str) -> bool: + character_category: str = unicodedata.category(character) + + if "P" in character_category: + return True + + character_range: Optional[str] = unicode_range(character) + + if character_range is None: + return False + + return "Punctuation" in character_range + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_symbol(character: str) -> bool: + character_category: str = unicodedata.category(character) + + if "S" in character_category or "N" in character_category: + return True + + character_range: Optional[str] = unicode_range(character) + + if character_range is None: + return False + + return "Forms" in character_range and character_category != "Lo" + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_emoticon(character: str) -> bool: + character_range: Optional[str] = unicode_range(character) + + if character_range is None: + return False + + return "Emoticons" in character_range or "Pictographs" in character_range + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_separator(character: str) -> bool: + if character.isspace() or character in {"｜", "+", "<", ">"}: + return True + + character_category: str = unicodedata.category(character) + + return "Z" in character_category or character_category in {"Po", "Pd", "Pc"} + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_case_variable(character: str) -> bool: + return character.islower() != character.isupper() + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_cjk(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "CJK" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_hiragana(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "HIRAGANA" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_katakana(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "KATAKANA" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_hangul(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "HANGUL" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_thai(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "THAI" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_arabic(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "ARABIC" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_arabic_isolated_form(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: + return False + + return "ARABIC" in character_name and "ISOLATED FORM" in character_name + + +@lru_cache(maxsize=len(UNICODE_RANGES_COMBINED)) +def is_unicode_range_secondary(range_name: str) -> bool: + return any(keyword in range_name for keyword in UNICODE_SECONDARY_RANGE_KEYWORD) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_unprintable(character: str) -> bool: + return ( + character.isspace() is False # includes \n \t \r \v + and character.isprintable() is False + and character != "\x1A" # Why? Its the ASCII substitute character. + and character != "\ufeff" # bug discovered in Python, + # Zero Width No-Break Space located in Arabic Presentation Forms-B, Unicode 1.1 not acknowledged as space. + ) + + +def any_specified_encoding(sequence: bytes, search_zone: int = 8192) -> Optional[str]: + """ + Extract using ASCII-only decoder any specified encoding in the first n-bytes. + """ + if not isinstance(sequence, bytes): + raise TypeError + + seq_len: int = len(sequence) + + results: List[str] = findall( + RE_POSSIBLE_ENCODING_INDICATION, + sequence[: min(seq_len, search_zone)].decode("ascii", errors="ignore"), + ) + + if len(results) == 0: + return None + + for specified_encoding in results: + specified_encoding = specified_encoding.lower().replace("-", "_") + + encoding_alias: str + encoding_iana: str + + for encoding_alias, encoding_iana in aliases.items(): + if encoding_alias == specified_encoding: + return encoding_iana + if encoding_iana == specified_encoding: + return encoding_iana + + return None + + +@lru_cache(maxsize=128) +def is_multi_byte_encoding(name: str) -> bool: + """ + Verify is a specific encoding is a multi byte one based on it IANA name + """ + return name in { + "utf_8", + "utf_8_sig", + "utf_16", + "utf_16_be", + "utf_16_le", + "utf_32", + "utf_32_le", + "utf_32_be", + "utf_7", + } or issubclass( + importlib.import_module("encodings.{}".format(name)).IncrementalDecoder, + MultibyteIncrementalDecoder, + ) + + +def identify_sig_or_bom(sequence: bytes) -> Tuple[Optional[str], bytes]: + """ + Identify and extract SIG/BOM in given sequence. + """ + + for iana_encoding in ENCODING_MARKS: + marks: Union[bytes, List[bytes]] = ENCODING_MARKS[iana_encoding] + + if isinstance(marks, bytes): + marks = [marks] + + for mark in marks: + if sequence.startswith(mark): + return iana_encoding, mark + + return None, b"" + + +def should_strip_sig_or_bom(iana_encoding: str) -> bool: + return iana_encoding not in {"utf_16", "utf_32"} + + +def iana_name(cp_name: str, strict: bool = True) -> str: + cp_name = cp_name.lower().replace("-", "_") + + encoding_alias: str + encoding_iana: str + + for encoding_alias, encoding_iana in aliases.items(): + if cp_name in [encoding_alias, encoding_iana]: + return encoding_iana + + if strict: + raise ValueError("Unable to retrieve IANA for '{}'".format(cp_name)) + + return cp_name + + +def range_scan(decoded_sequence: str) -> List[str]: + ranges: Set[str] = set() + + for character in decoded_sequence: + character_range: Optional[str] = unicode_range(character) + + if character_range is None: + continue + + ranges.add(character_range) + + return list(ranges) + + +def cp_similarity(iana_name_a: str, iana_name_b: str) -> float: + if is_multi_byte_encoding(iana_name_a) or is_multi_byte_encoding(iana_name_b): + return 0.0 + + decoder_a = importlib.import_module( + "encodings.{}".format(iana_name_a) + ).IncrementalDecoder + decoder_b = importlib.import_module( + "encodings.{}".format(iana_name_b) + ).IncrementalDecoder + + id_a: IncrementalDecoder = decoder_a(errors="ignore") + id_b: IncrementalDecoder = decoder_b(errors="ignore") + + character_match_count: int = 0 + + for i in range(255): + to_be_decoded: bytes = bytes([i]) + if id_a.decode(to_be_decoded) == id_b.decode(to_be_decoded): + character_match_count += 1 + + return character_match_count / 254 + + +def is_cp_similar(iana_name_a: str, iana_name_b: str) -> bool: + """ + Determine if two code page are at least 80% similar. IANA_SUPPORTED_SIMILAR dict was generated using + the function cp_similarity. + """ + return ( + iana_name_a in IANA_SUPPORTED_SIMILAR + and iana_name_b in IANA_SUPPORTED_SIMILAR[iana_name_a] + ) + + +def set_logging_handler( + name: str = "charset_normalizer", + level: int = logging.INFO, + format_string: str = "%(asctime)s | %(levelname)s | %(message)s", +) -> None: + logger = logging.getLogger(name) + logger.setLevel(level) + + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter(format_string)) + logger.addHandler(handler) + + +def cut_sequence_chunks( + sequences: bytes, + encoding_iana: str, + offsets: range, + chunk_size: int, + bom_or_sig_available: bool, + strip_sig_or_bom: bool, + sig_payload: bytes, + is_multi_byte_decoder: bool, + decoded_payload: Optional[str] = None, +) -> Generator[str, None, None]: + if decoded_payload and is_multi_byte_decoder is False: + for i in offsets: + chunk = decoded_payload[i : i + chunk_size] + if not chunk: + break + yield chunk + else: + for i in offsets: + chunk_end = i + chunk_size + if chunk_end > len(sequences) + 8: + continue + + cut_sequence = sequences[i : i + chunk_size] + + if bom_or_sig_available and strip_sig_or_bom is False: + cut_sequence = sig_payload + cut_sequence + + chunk = cut_sequence.decode( + encoding_iana, + errors="ignore" if is_multi_byte_decoder else "strict", + ) + + # multi-byte bad cutting detector and adjustment + # not the cleanest way to perform that fix but clever enough for now. + if is_multi_byte_decoder and i > 0: + chunk_partial_size_chk: int = min(chunk_size, 16) + + if ( + decoded_payload + and chunk[:chunk_partial_size_chk] not in decoded_payload + ): + for j in range(i, i - 4, -1): + cut_sequence = sequences[j:chunk_end] + + if bom_or_sig_available and strip_sig_or_bom is False: + cut_sequence = sig_payload + cut_sequence + + chunk = cut_sequence.decode(encoding_iana, errors="ignore") + + if chunk[:chunk_partial_size_chk] in decoded_payload: + break + + yield chunk diff --git a/vllm/lib/python3.10/site-packages/charset_normalizer/version.py b/vllm/lib/python3.10/site-packages/charset_normalizer/version.py new file mode 100644 index 0000000000000000000000000000000000000000..699990ee2467c406f176c8ba686e0b4e57dd4641 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/charset_normalizer/version.py @@ -0,0 +1,6 @@ +""" +Expose version +""" + +__version__ = "3.4.0" +VERSION = __version__.split(".") diff --git a/vllm/lib/python3.10/site-packages/idna/__pycache__/codec.cpython-310.pyc b/vllm/lib/python3.10/site-packages/idna/__pycache__/codec.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..678b3b5278934bea42560887a549517d03e42a39 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/idna/__pycache__/codec.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/idna/__pycache__/core.cpython-310.pyc b/vllm/lib/python3.10/site-packages/idna/__pycache__/core.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c4d3a3712386e5135498b45896491235fd45348c Binary files /dev/null and b/vllm/lib/python3.10/site-packages/idna/__pycache__/core.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/idna/codec.py b/vllm/lib/python3.10/site-packages/idna/codec.py new file mode 100644 index 0000000000000000000000000000000000000000..913abfd6a23ce547f84de2adc41221012f1007d6 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/idna/codec.py @@ -0,0 +1,122 @@ +import codecs +import re +from typing import Any, Optional, Tuple + +from .core import IDNAError, alabel, decode, encode, ulabel + +_unicode_dots_re = re.compile("[\u002e\u3002\uff0e\uff61]") + + +class Codec(codecs.Codec): + def encode(self, data: str, errors: str = "strict") -> Tuple[bytes, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return b"", 0 + + return encode(data), len(data) + + def decode(self, data: bytes, errors: str = "strict") -> Tuple[str, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return "", 0 + + return decode(data), len(data) + + +class IncrementalEncoder(codecs.BufferedIncrementalEncoder): + def _buffer_encode(self, data: str, errors: str, final: bool) -> Tuple[bytes, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return b"", 0 + + labels = _unicode_dots_re.split(data) + trailing_dot = b"" + if labels: + if not labels[-1]: + trailing_dot = b"." + del labels[-1] + elif not final: + # Keep potentially unfinished label until the next call + del labels[-1] + if labels: + trailing_dot = b"." + + result = [] + size = 0 + for label in labels: + result.append(alabel(label)) + if size: + size += 1 + size += len(label) + + # Join with U+002E + result_bytes = b".".join(result) + trailing_dot + size += len(trailing_dot) + return result_bytes, size + + +class IncrementalDecoder(codecs.BufferedIncrementalDecoder): + def _buffer_decode(self, data: Any, errors: str, final: bool) -> Tuple[str, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return ("", 0) + + if not isinstance(data, str): + data = str(data, "ascii") + + labels = _unicode_dots_re.split(data) + trailing_dot = "" + if labels: + if not labels[-1]: + trailing_dot = "." + del labels[-1] + elif not final: + # Keep potentially unfinished label until the next call + del labels[-1] + if labels: + trailing_dot = "." + + result = [] + size = 0 + for label in labels: + result.append(ulabel(label)) + if size: + size += 1 + size += len(label) + + result_str = ".".join(result) + trailing_dot + size += len(trailing_dot) + return (result_str, size) + + +class StreamWriter(Codec, codecs.StreamWriter): + pass + + +class StreamReader(Codec, codecs.StreamReader): + pass + + +def search_function(name: str) -> Optional[codecs.CodecInfo]: + if name != "idna2008": + return None + return codecs.CodecInfo( + name=name, + encode=Codec().encode, + decode=Codec().decode, + incrementalencoder=IncrementalEncoder, + incrementaldecoder=IncrementalDecoder, + streamwriter=StreamWriter, + streamreader=StreamReader, + ) + + +codecs.register(search_function) diff --git a/vllm/lib/python3.10/site-packages/idna/compat.py b/vllm/lib/python3.10/site-packages/idna/compat.py new file mode 100644 index 0000000000000000000000000000000000000000..1df9f2a70e6815908f2784e88897a9a359eef84c --- /dev/null +++ b/vllm/lib/python3.10/site-packages/idna/compat.py @@ -0,0 +1,15 @@ +from typing import Any, Union + +from .core import decode, encode + + +def ToASCII(label: str) -> bytes: + return encode(label) + + +def ToUnicode(label: Union[bytes, bytearray]) -> str: + return decode(label) + + +def nameprep(s: Any) -> None: + raise NotImplementedError("IDNA 2008 does not utilise nameprep protocol") diff --git a/vllm/lib/python3.10/site-packages/idna/core.py b/vllm/lib/python3.10/site-packages/idna/core.py new file mode 100644 index 0000000000000000000000000000000000000000..9115f123f0274832af5ba1cf3c5481cc5353eecd --- /dev/null +++ b/vllm/lib/python3.10/site-packages/idna/core.py @@ -0,0 +1,437 @@ +import bisect +import re +import unicodedata +from typing import Optional, Union + +from . import idnadata +from .intranges import intranges_contain + +_virama_combining_class = 9 +_alabel_prefix = b"xn--" +_unicode_dots_re = re.compile("[\u002e\u3002\uff0e\uff61]") + + +class IDNAError(UnicodeError): + """Base exception for all IDNA-encoding related problems""" + + pass + + +class IDNABidiError(IDNAError): + """Exception when bidirectional requirements are not satisfied""" + + pass + + +class InvalidCodepoint(IDNAError): + """Exception when a disallowed or unallocated codepoint is used""" + + pass + + +class InvalidCodepointContext(IDNAError): + """Exception when the codepoint is not valid in the context it is used""" + + pass + + +def _combining_class(cp: int) -> int: + v = unicodedata.combining(chr(cp)) + if v == 0: + if not unicodedata.name(chr(cp)): + raise ValueError("Unknown character in unicodedata") + return v + + +def _is_script(cp: str, script: str) -> bool: + return intranges_contain(ord(cp), idnadata.scripts[script]) + + +def _punycode(s: str) -> bytes: + return s.encode("punycode") + + +def _unot(s: int) -> str: + return "U+{:04X}".format(s) + + +def valid_label_length(label: Union[bytes, str]) -> bool: + if len(label) > 63: + return False + return True + + +def valid_string_length(label: Union[bytes, str], trailing_dot: bool) -> bool: + if len(label) > (254 if trailing_dot else 253): + return False + return True + + +def check_bidi(label: str, check_ltr: bool = False) -> bool: + # Bidi rules should only be applied if string contains RTL characters + bidi_label = False + for idx, cp in enumerate(label, 1): + direction = unicodedata.bidirectional(cp) + if direction == "": + # String likely comes from a newer version of Unicode + raise IDNABidiError("Unknown directionality in label {} at position {}".format(repr(label), idx)) + if direction in ["R", "AL", "AN"]: + bidi_label = True + if not bidi_label and not check_ltr: + return True + + # Bidi rule 1 + direction = unicodedata.bidirectional(label[0]) + if direction in ["R", "AL"]: + rtl = True + elif direction == "L": + rtl = False + else: + raise IDNABidiError("First codepoint in label {} must be directionality L, R or AL".format(repr(label))) + + valid_ending = False + number_type: Optional[str] = None + for idx, cp in enumerate(label, 1): + direction = unicodedata.bidirectional(cp) + + if rtl: + # Bidi rule 2 + if direction not in [ + "R", + "AL", + "AN", + "EN", + "ES", + "CS", + "ET", + "ON", + "BN", + "NSM", + ]: + raise IDNABidiError("Invalid direction for codepoint at position {} in a right-to-left label".format(idx)) + # Bidi rule 3 + if direction in ["R", "AL", "EN", "AN"]: + valid_ending = True + elif direction != "NSM": + valid_ending = False + # Bidi rule 4 + if direction in ["AN", "EN"]: + if not number_type: + number_type = direction + else: + if number_type != direction: + raise IDNABidiError("Can not mix numeral types in a right-to-left label") + else: + # Bidi rule 5 + if direction not in ["L", "EN", "ES", "CS", "ET", "ON", "BN", "NSM"]: + raise IDNABidiError("Invalid direction for codepoint at position {} in a left-to-right label".format(idx)) + # Bidi rule 6 + if direction in ["L", "EN"]: + valid_ending = True + elif direction != "NSM": + valid_ending = False + + if not valid_ending: + raise IDNABidiError("Label ends with illegal codepoint directionality") + + return True + + +def check_initial_combiner(label: str) -> bool: + if unicodedata.category(label[0])[0] == "M": + raise IDNAError("Label begins with an illegal combining character") + return True + + +def check_hyphen_ok(label: str) -> bool: + if label[2:4] == "--": + raise IDNAError("Label has disallowed hyphens in 3rd and 4th position") + if label[0] == "-" or label[-1] == "-": + raise IDNAError("Label must not start or end with a hyphen") + return True + + +def check_nfc(label: str) -> None: + if unicodedata.normalize("NFC", label) != label: + raise IDNAError("Label must be in Normalization Form C") + + +def valid_contextj(label: str, pos: int) -> bool: + cp_value = ord(label[pos]) + + if cp_value == 0x200C: + if pos > 0: + if _combining_class(ord(label[pos - 1])) == _virama_combining_class: + return True + + ok = False + for i in range(pos - 1, -1, -1): + joining_type = idnadata.joining_types.get(ord(label[i])) + if joining_type == ord("T"): + continue + elif joining_type in [ord("L"), ord("D")]: + ok = True + break + else: + break + + if not ok: + return False + + ok = False + for i in range(pos + 1, len(label)): + joining_type = idnadata.joining_types.get(ord(label[i])) + if joining_type == ord("T"): + continue + elif joining_type in [ord("R"), ord("D")]: + ok = True + break + else: + break + return ok + + if cp_value == 0x200D: + if pos > 0: + if _combining_class(ord(label[pos - 1])) == _virama_combining_class: + return True + return False + + else: + return False + + +def valid_contexto(label: str, pos: int, exception: bool = False) -> bool: + cp_value = ord(label[pos]) + + if cp_value == 0x00B7: + if 0 < pos < len(label) - 1: + if ord(label[pos - 1]) == 0x006C and ord(label[pos + 1]) == 0x006C: + return True + return False + + elif cp_value == 0x0375: + if pos < len(label) - 1 and len(label) > 1: + return _is_script(label[pos + 1], "Greek") + return False + + elif cp_value == 0x05F3 or cp_value == 0x05F4: + if pos > 0: + return _is_script(label[pos - 1], "Hebrew") + return False + + elif cp_value == 0x30FB: + for cp in label: + if cp == "\u30fb": + continue + if _is_script(cp, "Hiragana") or _is_script(cp, "Katakana") or _is_script(cp, "Han"): + return True + return False + + elif 0x660 <= cp_value <= 0x669: + for cp in label: + if 0x6F0 <= ord(cp) <= 0x06F9: + return False + return True + + elif 0x6F0 <= cp_value <= 0x6F9: + for cp in label: + if 0x660 <= ord(cp) <= 0x0669: + return False + return True + + return False + + +def check_label(label: Union[str, bytes, bytearray]) -> None: + if isinstance(label, (bytes, bytearray)): + label = label.decode("utf-8") + if len(label) == 0: + raise IDNAError("Empty Label") + + check_nfc(label) + check_hyphen_ok(label) + check_initial_combiner(label) + + for pos, cp in enumerate(label): + cp_value = ord(cp) + if intranges_contain(cp_value, idnadata.codepoint_classes["PVALID"]): + continue + elif intranges_contain(cp_value, idnadata.codepoint_classes["CONTEXTJ"]): + try: + if not valid_contextj(label, pos): + raise InvalidCodepointContext( + "Joiner {} not allowed at position {} in {}".format(_unot(cp_value), pos + 1, repr(label)) + ) + except ValueError: + raise IDNAError( + "Unknown codepoint adjacent to joiner {} at position {} in {}".format( + _unot(cp_value), pos + 1, repr(label) + ) + ) + elif intranges_contain(cp_value, idnadata.codepoint_classes["CONTEXTO"]): + if not valid_contexto(label, pos): + raise InvalidCodepointContext( + "Codepoint {} not allowed at position {} in {}".format(_unot(cp_value), pos + 1, repr(label)) + ) + else: + raise InvalidCodepoint( + "Codepoint {} at position {} of {} not allowed".format(_unot(cp_value), pos + 1, repr(label)) + ) + + check_bidi(label) + + +def alabel(label: str) -> bytes: + try: + label_bytes = label.encode("ascii") + ulabel(label_bytes) + if not valid_label_length(label_bytes): + raise IDNAError("Label too long") + return label_bytes + except UnicodeEncodeError: + pass + + check_label(label) + label_bytes = _alabel_prefix + _punycode(label) + + if not valid_label_length(label_bytes): + raise IDNAError("Label too long") + + return label_bytes + + +def ulabel(label: Union[str, bytes, bytearray]) -> str: + if not isinstance(label, (bytes, bytearray)): + try: + label_bytes = label.encode("ascii") + except UnicodeEncodeError: + check_label(label) + return label + else: + label_bytes = label + + label_bytes = label_bytes.lower() + if label_bytes.startswith(_alabel_prefix): + label_bytes = label_bytes[len(_alabel_prefix) :] + if not label_bytes: + raise IDNAError("Malformed A-label, no Punycode eligible content found") + if label_bytes.decode("ascii")[-1] == "-": + raise IDNAError("A-label must not end with a hyphen") + else: + check_label(label_bytes) + return label_bytes.decode("ascii") + + try: + label = label_bytes.decode("punycode") + except UnicodeError: + raise IDNAError("Invalid A-label") + check_label(label) + return label + + +def uts46_remap(domain: str, std3_rules: bool = True, transitional: bool = False) -> str: + """Re-map the characters in the string according to UTS46 processing.""" + from .uts46data import uts46data + + output = "" + + for pos, char in enumerate(domain): + code_point = ord(char) + try: + uts46row = uts46data[code_point if code_point < 256 else bisect.bisect_left(uts46data, (code_point, "Z")) - 1] + status = uts46row[1] + replacement: Optional[str] = None + if len(uts46row) == 3: + replacement = uts46row[2] + if ( + status == "V" + or (status == "D" and not transitional) + or (status == "3" and not std3_rules and replacement is None) + ): + output += char + elif replacement is not None and ( + status == "M" or (status == "3" and not std3_rules) or (status == "D" and transitional) + ): + output += replacement + elif status != "I": + raise IndexError() + except IndexError: + raise InvalidCodepoint( + "Codepoint {} not allowed at position {} in {}".format(_unot(code_point), pos + 1, repr(domain)) + ) + + return unicodedata.normalize("NFC", output) + + +def encode( + s: Union[str, bytes, bytearray], + strict: bool = False, + uts46: bool = False, + std3_rules: bool = False, + transitional: bool = False, +) -> bytes: + if not isinstance(s, str): + try: + s = str(s, "ascii") + except UnicodeDecodeError: + raise IDNAError("should pass a unicode string to the function rather than a byte string.") + if uts46: + s = uts46_remap(s, std3_rules, transitional) + trailing_dot = False + result = [] + if strict: + labels = s.split(".") + else: + labels = _unicode_dots_re.split(s) + if not labels or labels == [""]: + raise IDNAError("Empty domain") + if labels[-1] == "": + del labels[-1] + trailing_dot = True + for label in labels: + s = alabel(label) + if s: + result.append(s) + else: + raise IDNAError("Empty label") + if trailing_dot: + result.append(b"") + s = b".".join(result) + if not valid_string_length(s, trailing_dot): + raise IDNAError("Domain too long") + return s + + +def decode( + s: Union[str, bytes, bytearray], + strict: bool = False, + uts46: bool = False, + std3_rules: bool = False, +) -> str: + try: + if not isinstance(s, str): + s = str(s, "ascii") + except UnicodeDecodeError: + raise IDNAError("Invalid ASCII in A-label") + if uts46: + s = uts46_remap(s, std3_rules, False) + trailing_dot = False + result = [] + if not strict: + labels = _unicode_dots_re.split(s) + else: + labels = s.split(".") + if not labels or labels == [""]: + raise IDNAError("Empty domain") + if not labels[-1]: + del labels[-1] + trailing_dot = True + for label in labels: + s = ulabel(label) + if s: + result.append(s) + else: + raise IDNAError("Empty label") + if trailing_dot: + result.append("") + return ".".join(result) diff --git a/vllm/lib/python3.10/site-packages/idna/idnadata.py b/vllm/lib/python3.10/site-packages/idna/idnadata.py new file mode 100644 index 0000000000000000000000000000000000000000..4be6004622efcdc36a8d15efc0ac3e138a4bae02 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/idna/idnadata.py @@ -0,0 +1,4243 @@ +# This file is automatically generated by tools/idna-data + +__version__ = "15.1.0" +scripts = { + "Greek": ( + 0x37000000374, + 0x37500000378, + 0x37A0000037E, + 0x37F00000380, + 0x38400000385, + 0x38600000387, + 0x3880000038B, + 0x38C0000038D, + 0x38E000003A2, + 0x3A3000003E2, + 0x3F000000400, + 0x1D2600001D2B, + 0x1D5D00001D62, + 0x1D6600001D6B, + 0x1DBF00001DC0, + 0x1F0000001F16, + 0x1F1800001F1E, + 0x1F2000001F46, + 0x1F4800001F4E, + 0x1F5000001F58, + 0x1F5900001F5A, + 0x1F5B00001F5C, + 0x1F5D00001F5E, + 0x1F5F00001F7E, + 0x1F8000001FB5, + 0x1FB600001FC5, + 0x1FC600001FD4, + 0x1FD600001FDC, + 0x1FDD00001FF0, + 0x1FF200001FF5, + 0x1FF600001FFF, + 0x212600002127, + 0xAB650000AB66, + 0x101400001018F, + 0x101A0000101A1, + 0x1D2000001D246, + ), + "Han": ( + 0x2E8000002E9A, + 0x2E9B00002EF4, + 0x2F0000002FD6, + 0x300500003006, + 0x300700003008, + 0x30210000302A, + 0x30380000303C, + 0x340000004DC0, + 0x4E000000A000, + 0xF9000000FA6E, + 0xFA700000FADA, + 0x16FE200016FE4, + 0x16FF000016FF2, + 0x200000002A6E0, + 0x2A7000002B73A, + 0x2B7400002B81E, + 0x2B8200002CEA2, + 0x2CEB00002EBE1, + 0x2EBF00002EE5E, + 0x2F8000002FA1E, + 0x300000003134B, + 0x31350000323B0, + ), + "Hebrew": ( + 0x591000005C8, + 0x5D0000005EB, + 0x5EF000005F5, + 0xFB1D0000FB37, + 0xFB380000FB3D, + 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_seg_47() + + _seg_48() + + _seg_49() + + _seg_50() + + _seg_51() + + _seg_52() + + _seg_53() + + _seg_54() + + _seg_55() + + _seg_56() + + _seg_57() + + _seg_58() + + _seg_59() + + _seg_60() + + _seg_61() + + _seg_62() + + _seg_63() + + _seg_64() + + _seg_65() + + _seg_66() + + _seg_67() + + _seg_68() + + _seg_69() + + _seg_70() + + _seg_71() + + _seg_72() + + _seg_73() + + _seg_74() + + _seg_75() + + _seg_76() + + _seg_77() + + _seg_78() + + _seg_79() + + _seg_80() + + _seg_81() +) # type: Tuple[Union[Tuple[int, str], Tuple[int, str, str]], ...] diff --git a/vllm/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.4.127.dist-info/License.txt b/vllm/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.4.127.dist-info/License.txt new file mode 100644 index 0000000000000000000000000000000000000000..b491c70e0aef319022ded661e111ddbd45b8a17f --- /dev/null +++ b/vllm/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.4.127.dist-info/License.txt @@ -0,0 +1,1568 @@ +End User License Agreement +-------------------------- + + +Preface +------- + +The Software License Agreement in Chapter 1 and the Supplement +in Chapter 2 contain license terms and conditions that govern +the use of NVIDIA software. By accepting this agreement, you +agree to comply with all the terms and conditions applicable +to the product(s) included herein. + + +NVIDIA Driver + + +Description + +This package contains the operating system driver and +fundamental system software components for NVIDIA GPUs. + + +NVIDIA CUDA Toolkit + + +Description + +The NVIDIA CUDA Toolkit provides command-line and graphical +tools for building, debugging and optimizing the performance +of applications accelerated by NVIDIA GPUs, runtime and math +libraries, and documentation including programming guides, +user manuals, and API references. + + +Default Install Location of CUDA Toolkit + +Windows platform: + +%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v#.# + +Linux platform: + +/usr/local/cuda-#.# + +Mac platform: + +/Developer/NVIDIA/CUDA-#.# + + +NVIDIA CUDA Samples + + +Description + +This package includes over 100+ CUDA examples that demonstrate +various CUDA programming principles, and efficient CUDA +implementation of algorithms in specific application domains. + + +Default Install Location of CUDA Samples + +Windows platform: + +%ProgramData%\NVIDIA Corporation\CUDA Samples\v#.# + +Linux platform: + +/usr/local/cuda-#.#/samples + +and + +$HOME/NVIDIA_CUDA-#.#_Samples + +Mac platform: + +/Developer/NVIDIA/CUDA-#.#/samples + + +NVIDIA Nsight Visual Studio Edition (Windows only) + + +Description + +NVIDIA Nsight Development Platform, Visual Studio Edition is a +development environment integrated into Microsoft Visual +Studio that provides tools for debugging, profiling, analyzing +and optimizing your GPU computing and graphics applications. + + +Default Install Location of Nsight Visual Studio Edition + +Windows platform: + +%ProgramFiles(x86)%\NVIDIA Corporation\Nsight Visual Studio Edition #.# + + +1. License Agreement for NVIDIA Software Development Kits +--------------------------------------------------------- + + +Release Date: July 26, 2018 +--------------------------- + + +Important NoticeRead before downloading, installing, +copying or using the licensed software: +------------------------------------------------------- + +This license agreement, including exhibits attached +("Agreement”) is a legal agreement between you and NVIDIA +Corporation ("NVIDIA") and governs your use of a NVIDIA +software development kit (“SDK”). + +Each SDK has its own set of software and materials, but here +is a description of the types of items that may be included in +a SDK: source code, header files, APIs, data sets and assets +(examples include images, textures, models, scenes, videos, +native API input/output files), binary software, sample code, +libraries, utility programs, programming code and +documentation. + +This Agreement can be accepted only by an adult of legal age +of majority in the country in which the SDK is used. + +If you are entering into this Agreement on behalf of a company +or other legal entity, you represent that you have the legal +authority to bind the entity to this Agreement, in which case +“you” will mean the entity you represent. + +If you don’t have the required age or authority to accept +this Agreement, or if you don’t accept all the terms and +conditions of this Agreement, do not download, install or use +the SDK. + +You agree to use the SDK only for purposes that are permitted +by (a) this Agreement, and (b) any applicable law, regulation +or generally accepted practices or guidelines in the relevant +jurisdictions. + + +1.1. License + + +1.1.1. License Grant + +Subject to the terms of this Agreement, NVIDIA hereby grants +you a non-exclusive, non-transferable license, without the +right to sublicense (except as expressly provided in this +Agreement) to: + + 1. Install and use the SDK, + + 2. Modify and create derivative works of sample source code + delivered in the SDK, and + + 3. Distribute those portions of the SDK that are identified + in this Agreement as distributable, as incorporated in + object code format into a software application that meets + the distribution requirements indicated in this Agreement. + + +1.1.2. Distribution Requirements + +These are the distribution requirements for you to exercise +the distribution grant: + + 1. Your application must have material additional + functionality, beyond the included portions of the SDK. + + 2. The distributable portions of the SDK shall only be + accessed by your application. + + 3. The following notice shall be included in modifications + and derivative works of sample source code distributed: + “This software contains source code provided by NVIDIA + Corporation.” + + 4. Unless a developer tool is identified in this Agreement + as distributable, it is delivered for your internal use + only. + + 5. The terms under which you distribute your application + must be consistent with the terms of this Agreement, + including (without limitation) terms relating to the + license grant and license restrictions and protection of + NVIDIA’s intellectual property rights. Additionally, you + agree that you will protect the privacy, security and + legal rights of your application users. + + 6. You agree to notify NVIDIA in writing of any known or + suspected distribution or use of the SDK not in compliance + with the requirements of this Agreement, and to enforce + the terms of your agreements with respect to distributed + SDK. + + +1.1.3. Authorized Users + +You may allow employees and contractors of your entity or of +your subsidiary(ies) to access and use the SDK from your +secure network to perform work on your behalf. + +If you are an academic institution you may allow users +enrolled or employed by the academic institution to access and +use the SDK from your secure network. + +You are responsible for the compliance with the terms of this +Agreement by your authorized users. If you become aware that +your authorized users didn’t follow the terms of this +Agreement, you agree to take reasonable steps to resolve the +non-compliance and prevent new occurrences. + + +1.1.4. Pre-Release SDK + +The SDK versions identified as alpha, beta, preview or +otherwise as pre-release, may not be fully functional, may +contain errors or design flaws, and may have reduced or +different security, privacy, accessibility, availability, and +reliability standards relative to commercial versions of +NVIDIA software and materials. Use of a pre-release SDK may +result in unexpected results, loss of data, project delays or +other unpredictable damage or loss. + +You may use a pre-release SDK at your own risk, understanding +that pre-release SDKs are not intended for use in production +or business-critical systems. + +NVIDIA may choose not to make available a commercial version +of any pre-release SDK. NVIDIA may also choose to abandon +development and terminate the availability of a pre-release +SDK at any time without liability. + + +1.1.5. Updates + +NVIDIA may, at its option, make available patches, workarounds +or other updates to this SDK. Unless the updates are provided +with their separate governing terms, they are deemed part of +the SDK licensed to you as provided in this Agreement. You +agree that the form and content of the SDK that NVIDIA +provides may change without prior notice to you. While NVIDIA +generally maintains compatibility between versions, NVIDIA may +in some cases make changes that introduce incompatibilities in +future versions of the SDK. + + +1.1.6. Third Party Licenses + +The SDK may come bundled with, or otherwise include or be +distributed with, third party software licensed by a NVIDIA +supplier and/or open source software provided under an open +source license. Use of third party software is subject to the +third-party license terms, or in the absence of third party +terms, the terms of this Agreement. Copyright to third party +software is held by the copyright holders indicated in the +third-party software or license. + + +1.1.7. Reservation of Rights + +NVIDIA reserves all rights, title, and interest in and to the +SDK, not expressly granted to you under this Agreement. + + +1.2. Limitations + +The following license limitations apply to your use of the +SDK: + + 1. You may not reverse engineer, decompile or disassemble, + or remove copyright or other proprietary notices from any + portion of the SDK or copies of the SDK. + + 2. Except as expressly provided in this Agreement, you may + not copy, sell, rent, sublicense, transfer, distribute, + modify, or create derivative works of any portion of the + SDK. For clarity, you may not distribute or sublicense the + SDK as a stand-alone product. + + 3. Unless you have an agreement with NVIDIA for this + purpose, you may not indicate that an application created + with the SDK is sponsored or endorsed by NVIDIA. + + 4. You may not bypass, disable, or circumvent any + encryption, security, digital rights management or + authentication mechanism in the SDK. + + 5. You may not use the SDK in any manner that would cause it + to become subject to an open source software license. As + examples, licenses that require as a condition of use, + modification, and/or distribution that the SDK be: + + a. Disclosed or distributed in source code form; + + b. Licensed for the purpose of making derivative works; + or + + c. Redistributable at no charge. + + 6. Unless you have an agreement with NVIDIA for this + purpose, you may not use the SDK with any system or + application where the use or failure of the system or + application can reasonably be expected to threaten or + result in personal injury, death, or catastrophic loss. + Examples include use in avionics, navigation, military, + medical, life support or other life critical applications. + NVIDIA does not design, test or manufacture the SDK for + these critical uses and NVIDIA shall not be liable to you + or any third party, in whole or in part, for any claims or + damages arising from such uses. + + 7. You agree to defend, indemnify and hold harmless NVIDIA + and its affiliates, and their respective employees, + contractors, agents, officers and directors, from and + against any and all claims, damages, obligations, losses, + liabilities, costs or debt, fines, restitutions and + expenses (including but not limited to attorney’s fees + and costs incident to establishing the right of + indemnification) arising out of or related to your use of + the SDK outside of the scope of this Agreement, or not in + compliance with its terms. + + +1.3. Ownership + + 1. NVIDIA or its licensors hold all rights, title and + interest in and to the SDK and its modifications and + derivative works, including their respective intellectual + property rights, subject to your rights described in this + section. This SDK may include software and materials from + NVIDIA’s licensors, and these licensors are intended + third party beneficiaries that may enforce this Agreement + with respect to their intellectual property rights. + + 2. You hold all rights, title and interest in and to your + applications and your derivative works of the sample + source code delivered in the SDK, including their + respective intellectual property rights, subject to + NVIDIA’s rights described in this section. + + 3. You may, but don’t have to, provide to NVIDIA + suggestions, feature requests or other feedback regarding + the SDK, including possible enhancements or modifications + to the SDK. For any feedback that you voluntarily provide, + you hereby grant NVIDIA and its affiliates a perpetual, + non-exclusive, worldwide, irrevocable license to use, + reproduce, modify, license, sublicense (through multiple + tiers of sublicensees), and distribute (through multiple + tiers of distributors) it without the payment of any + royalties or fees to you. NVIDIA will use feedback at its + choice. NVIDIA is constantly looking for ways to improve + its products, so you may send feedback to NVIDIA through + the developer portal at https://developer.nvidia.com. + + +1.4. No Warranties + +THE SDK IS PROVIDED BY NVIDIA “AS IS” AND “WITH ALL +FAULTS.” TO THE MAXIMUM EXTENT PERMITTED BY LAW, NVIDIA AND +ITS AFFILIATES EXPRESSLY DISCLAIM ALL WARRANTIES OF ANY KIND +OR NATURE, WHETHER EXPRESS, IMPLIED OR STATUTORY, INCLUDING, +BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE, TITLE, NON-INFRINGEMENT, OR THE +ABSENCE OF ANY DEFECTS THEREIN, WHETHER LATENT OR PATENT. NO +WARRANTY IS MADE ON THE BASIS OF TRADE USAGE, COURSE OF +DEALING OR COURSE OF TRADE. + + +1.5. Limitation of Liability + +TO THE MAXIMUM EXTENT PERMITTED BY LAW, NVIDIA AND ITS +AFFILIATES SHALL NOT BE LIABLE FOR ANY SPECIAL, INCIDENTAL, +PUNITIVE OR CONSEQUENTIAL DAMAGES, OR ANY LOST PROFITS, LOSS +OF USE, LOSS OF DATA OR LOSS OF GOODWILL, OR THE COSTS OF +PROCURING SUBSTITUTE PRODUCTS, ARISING OUT OF OR IN CONNECTION +WITH THIS AGREEMENT OR THE USE OR PERFORMANCE OF THE SDK, +WHETHER SUCH LIABILITY ARISES FROM ANY CLAIM BASED UPON BREACH +OF CONTRACT, BREACH OF WARRANTY, TORT (INCLUDING NEGLIGENCE), +PRODUCT LIABILITY OR ANY OTHER CAUSE OF ACTION OR THEORY OF +LIABILITY. IN NO EVENT WILL NVIDIA’S AND ITS AFFILIATES +TOTAL CUMULATIVE LIABILITY UNDER OR ARISING OUT OF THIS +AGREEMENT EXCEED US$10.00. THE NATURE OF THE LIABILITY OR THE +NUMBER OF CLAIMS OR SUITS SHALL NOT ENLARGE OR EXTEND THIS +LIMIT. + +These exclusions and limitations of liability shall apply +regardless if NVIDIA or its affiliates have been advised of +the possibility of such damages, and regardless of whether a +remedy fails its essential purpose. These exclusions and +limitations of liability form an essential basis of the +bargain between the parties, and, absent any of these +exclusions or limitations of liability, the provisions of this +Agreement, including, without limitation, the economic terms, +would be substantially different. + + +1.6. Termination + + 1. This Agreement will continue to apply until terminated by + either you or NVIDIA as described below. + + 2. If you want to terminate this Agreement, you may do so by + stopping to use the SDK. + + 3. NVIDIA may, at any time, terminate this Agreement if: + + a. (i) you fail to comply with any term of this + Agreement and the non-compliance is not fixed within + thirty (30) days following notice from NVIDIA (or + immediately if you violate NVIDIA’s intellectual + property rights); + + b. (ii) you commence or participate in any legal + proceeding against NVIDIA with respect to the SDK; or + + c. (iii) NVIDIA decides to no longer provide the SDK in + a country or, in NVIDIA’s sole discretion, the + continued use of it is no longer commercially viable. + + 4. Upon any termination of this Agreement, you agree to + promptly discontinue use of the SDK and destroy all copies + in your possession or control. Your prior distributions in + accordance with this Agreement are not affected by the + termination of this Agreement. Upon written request, you + will certify in writing that you have complied with your + commitments under this section. Upon any termination of + this Agreement all provisions survive except for the + license grant provisions. + + +1.7. General + +If you wish to assign this Agreement or your rights and +obligations, including by merger, consolidation, dissolution +or operation of law, contact NVIDIA to ask for permission. Any +attempted assignment not approved by NVIDIA in writing shall +be void and of no effect. NVIDIA may assign, delegate or +transfer this Agreement and its rights and obligations, and if +to a non-affiliate you will be notified. + +You agree to cooperate with NVIDIA and provide reasonably +requested information to verify your compliance with this +Agreement. + +This Agreement will be governed in all respects by the laws of +the United States and of the State of Delaware as those laws +are applied to contracts entered into and performed entirely +within Delaware by Delaware residents, without regard to the +conflicts of laws principles. The United Nations Convention on +Contracts for the International Sale of Goods is specifically +disclaimed. You agree to all terms of this Agreement in the +English language. + +The state or federal courts residing in Santa Clara County, +California shall have exclusive jurisdiction over any dispute +or claim arising out of this Agreement. Notwithstanding this, +you agree that NVIDIA shall still be allowed to apply for +injunctive remedies or an equivalent type of urgent legal +relief in any jurisdiction. + +If any court of competent jurisdiction determines that any +provision of this Agreement is illegal, invalid or +unenforceable, such provision will be construed as limited to +the extent necessary to be consistent with and fully +enforceable under the law and the remaining provisions will +remain in full force and effect. Unless otherwise specified, +remedies are cumulative. + +Each party acknowledges and agrees that the other is an +independent contractor in the performance of this Agreement. + +The SDK has been developed entirely at private expense and is +“commercial items” consisting of “commercial computer +software” and “commercial computer software +documentation” provided with RESTRICTED RIGHTS. Use, +duplication or disclosure by the U.S. Government or a U.S. +Government subcontractor is subject to the restrictions in +this Agreement pursuant to DFARS 227.7202-3(a) or as set forth +in subparagraphs (c)(1) and (2) of the Commercial Computer +Software - Restricted Rights clause at FAR 52.227-19, as +applicable. Contractor/manufacturer is NVIDIA, 2788 San Tomas +Expressway, Santa Clara, CA 95051. + +The SDK is subject to United States export laws and +regulations. You agree that you will not ship, transfer or +export the SDK into any country, or use the SDK in any manner, +prohibited by the United States Bureau of Industry and +Security or economic sanctions regulations administered by the +U.S. Department of Treasury’s Office of Foreign Assets +Control (OFAC), or any applicable export laws, restrictions or +regulations. These laws include restrictions on destinations, +end users and end use. By accepting this Agreement, you +confirm that you are not a resident or citizen of any country +currently embargoed by the U.S. and that you are not otherwise +prohibited from receiving the SDK. + +Any notice delivered by NVIDIA to you under this Agreement +will be delivered via mail, email or fax. You agree that any +notices that NVIDIA sends you electronically will satisfy any +legal communication requirements. Please direct your legal +notices or other correspondence to NVIDIA Corporation, 2788 +San Tomas Expressway, Santa Clara, California 95051, United +States of America, Attention: Legal Department. + +This Agreement and any exhibits incorporated into this +Agreement constitute the entire agreement of the parties with +respect to the subject matter of this Agreement and supersede +all prior negotiations or documentation exchanged between the +parties relating to this SDK license. Any additional and/or +conflicting terms on documents issued by you are null, void, +and invalid. Any amendment or waiver under this Agreement +shall be in writing and signed by representatives of both +parties. + + +2. CUDA Toolkit Supplement to Software License Agreement for +NVIDIA Software Development Kits +------------------------------------------------------------ + + +Release date: August 16, 2018 +----------------------------- + +The terms in this supplement govern your use of the NVIDIA +CUDA Toolkit SDK under the terms of your license agreement +(“Agreement”) as modified by this supplement. Capitalized +terms used but not defined below have the meaning assigned to +them in the Agreement. + +This supplement is an exhibit to the Agreement and is +incorporated as an integral part of the Agreement. In the +event of conflict between the terms in this supplement and the +terms in the Agreement, the terms in this supplement govern. + + +2.1. License Scope + +The SDK is licensed for you to develop applications only for +use in systems with NVIDIA GPUs. + + +2.2. Distribution + +The portions of the SDK that are distributable under the +Agreement are listed in Attachment A. + + +2.3. Operating Systems + +Those portions of the SDK designed exclusively for use on the +Linux or FreeBSD operating systems, or other operating systems +derived from the source code to these operating systems, may +be copied and redistributed for use in accordance with this +Agreement, provided that the object code files are not +modified in any way (except for unzipping of compressed +files). + + +2.4. Audio and Video Encoders and Decoders + +You acknowledge and agree that it is your sole responsibility +to obtain any additional third-party licenses required to +make, have made, use, have used, sell, import, and offer for +sale your products or services that include or incorporate any +third-party software and content relating to audio and/or +video encoders and decoders from, including but not limited +to, Microsoft, Thomson, Fraunhofer IIS, Sisvel S.p.A., +MPEG-LA, and Coding Technologies. NVIDIA does not grant to you +under this Agreement any necessary patent or other rights with +respect to any audio and/or video encoders and decoders. + + +2.5. Licensing + +If the distribution terms in this Agreement are not suitable +for your organization, or for any questions regarding this +Agreement, please contact NVIDIA at +nvidia-compute-license-questions@nvidia.com. + + +2.6. Attachment A + +The following portions of the SDK are distributable under the +Agreement: + +Component + +CUDA Runtime + +Windows + +cudart.dll, cudart_static.lib, cudadevrt.lib + +Mac OSX + +libcudart.dylib, libcudart_static.a, libcudadevrt.a + +Linux + +libcudart.so, libcudart_static.a, libcudadevrt.a + +Android + +libcudart.so, libcudart_static.a, libcudadevrt.a + +Component + +CUDA FFT Library + +Windows + +cufft.dll, cufftw.dll, cufft.lib, cufftw.lib + +Mac OSX + +libcufft.dylib, libcufft_static.a, libcufftw.dylib, +libcufftw_static.a + +Linux + +libcufft.so, libcufft_static.a, libcufftw.so, +libcufftw_static.a + +Android + +libcufft.so, libcufft_static.a, libcufftw.so, +libcufftw_static.a + +Component + +CUDA BLAS Library + +Windows + +cublas.dll, cublasLt.dll + +Mac OSX + +libcublas.dylib, libcublasLt.dylib, libcublas_static.a, +libcublasLt_static.a + +Linux + +libcublas.so, libcublasLt.so, libcublas_static.a, +libcublasLt_static.a + +Android + +libcublas.so, libcublasLt.so, libcublas_static.a, +libcublasLt_static.a + +Component + +NVIDIA "Drop-in" BLAS Library + +Windows + +nvblas.dll + +Mac OSX + +libnvblas.dylib + +Linux + +libnvblas.so + +Component + +CUDA Sparse Matrix Library + +Windows + +cusparse.dll, cusparse.lib + +Mac OSX + +libcusparse.dylib, libcusparse_static.a + +Linux + +libcusparse.so, libcusparse_static.a + +Android + +libcusparse.so, libcusparse_static.a + +Component + +CUDA Linear Solver Library + +Windows + +cusolver.dll, cusolver.lib + +Mac OSX + +libcusolver.dylib, libcusolver_static.a + +Linux + +libcusolver.so, libcusolver_static.a + +Android + +libcusolver.so, libcusolver_static.a + +Component + +CUDA Random Number Generation Library + +Windows + +curand.dll, curand.lib + +Mac OSX + +libcurand.dylib, libcurand_static.a + +Linux + +libcurand.so, libcurand_static.a + +Android + +libcurand.so, libcurand_static.a + +Component + +CUDA Accelerated Graph Library + +Component + +NVIDIA Performance Primitives Library + +Windows + +nppc.dll, nppc.lib, nppial.dll, nppial.lib, nppicc.dll, +nppicc.lib, nppicom.dll, nppicom.lib, nppidei.dll, +nppidei.lib, nppif.dll, nppif.lib, nppig.dll, nppig.lib, +nppim.dll, nppim.lib, nppist.dll, nppist.lib, nppisu.dll, +nppisu.lib, nppitc.dll, nppitc.lib, npps.dll, npps.lib + +Mac OSX + +libnppc.dylib, libnppc_static.a, libnppial.dylib, +libnppial_static.a, libnppicc.dylib, libnppicc_static.a, +libnppicom.dylib, libnppicom_static.a, libnppidei.dylib, +libnppidei_static.a, libnppif.dylib, libnppif_static.a, +libnppig.dylib, libnppig_static.a, libnppim.dylib, +libnppisu_static.a, libnppitc.dylib, libnppitc_static.a, +libnpps.dylib, libnpps_static.a + +Linux + +libnppc.so, libnppc_static.a, libnppial.so, +libnppial_static.a, libnppicc.so, libnppicc_static.a, +libnppicom.so, libnppicom_static.a, libnppidei.so, +libnppidei_static.a, libnppif.so, libnppif_static.a +libnppig.so, libnppig_static.a, libnppim.so, +libnppim_static.a, libnppist.so, libnppist_static.a, +libnppisu.so, libnppisu_static.a, libnppitc.so +libnppitc_static.a, libnpps.so, libnpps_static.a + +Android + +libnppc.so, libnppc_static.a, libnppial.so, +libnppial_static.a, libnppicc.so, libnppicc_static.a, +libnppicom.so, libnppicom_static.a, libnppidei.so, +libnppidei_static.a, libnppif.so, libnppif_static.a +libnppig.so, libnppig_static.a, libnppim.so, +libnppim_static.a, libnppist.so, libnppist_static.a, +libnppisu.so, libnppisu_static.a, libnppitc.so +libnppitc_static.a, libnpps.so, libnpps_static.a + +Component + +NVIDIA JPEG Library + +Linux + +libnvjpeg.so, libnvjpeg_static.a + +Component + +Internal common library required for statically linking to +cuBLAS, cuSPARSE, cuFFT, cuRAND, nvJPEG and NPP + +Mac OSX + +libculibos.a + +Linux + +libculibos.a + +Component + +NVIDIA Runtime Compilation Library and Header + +All + +nvrtc.h + +Windows + +nvrtc.dll, nvrtc-builtins.dll + +Mac OSX + +libnvrtc.dylib, libnvrtc-builtins.dylib + +Linux + +libnvrtc.so, libnvrtc-builtins.so + +Component + +NVIDIA Optimizing Compiler Library + +Windows + +nvvm.dll + +Mac OSX + +libnvvm.dylib + +Linux + +libnvvm.so + +Component + +NVIDIA Common Device Math Functions Library + +Windows + +libdevice.10.bc + +Mac OSX + +libdevice.10.bc + +Linux + +libdevice.10.bc + +Component + +CUDA Occupancy Calculation Header Library + +All + +cuda_occupancy.h + +Component + +CUDA Half Precision Headers + +All + +cuda_fp16.h, cuda_fp16.hpp + +Component + +CUDA Profiling Tools Interface (CUPTI) Library + +Windows + +cupti.dll + +Mac OSX + +libcupti.dylib + +Linux + +libcupti.so + +Component + +NVIDIA Tools Extension Library + +Windows + +nvToolsExt.dll, nvToolsExt.lib + +Mac OSX + +libnvToolsExt.dylib + +Linux + +libnvToolsExt.so + +Component + +NVIDIA CUDA Driver Libraries + +Linux + +libcuda.so, libnvidia-fatbinaryloader.so, +libnvidia-ptxjitcompiler.so + +The NVIDIA CUDA Driver Libraries are only distributable in +applications that meet this criteria: + + 1. The application was developed starting from a NVIDIA CUDA + container obtained from Docker Hub or the NVIDIA GPU + Cloud, and + + 2. The resulting application is packaged as a Docker + container and distributed to users on Docker Hub or the + NVIDIA GPU Cloud only. + + +2.7. Attachment B + + +Additional Licensing Obligations + +The following third party components included in the SOFTWARE +are licensed to Licensee pursuant to the following terms and +conditions: + + 1. Licensee's use of the GDB third party component is + subject to the terms and conditions of GNU GPL v3: + + This product includes copyrighted third-party software licensed + under the terms of the GNU General Public License v3 ("GPL v3"). + All third-party software packages are copyright by their respective + authors. GPL v3 terms and conditions are hereby incorporated into + the Agreement by this reference: http://www.gnu.org/licenses/gpl.txt + + Consistent with these licensing requirements, the software + listed below is provided under the terms of the specified + open source software licenses. To obtain source code for + software provided under licenses that require + redistribution of source code, including the GNU General + Public License (GPL) and GNU Lesser General Public License + (LGPL), contact oss-requests@nvidia.com. This offer is + valid for a period of three (3) years from the date of the + distribution of this product by NVIDIA CORPORATION. + + Component License + CUDA-GDB GPL v3 + + 2. Licensee represents and warrants that any and all third + party licensing and/or royalty payment obligations in + connection with Licensee's use of the H.264 video codecs + are solely the responsibility of Licensee. + + 3. Licensee's use of the Thrust library is subject to the + terms and conditions of the Apache License Version 2.0. + All third-party software packages are copyright by their + respective authors. Apache License Version 2.0 terms and + conditions are hereby incorporated into the Agreement by + this reference. + http://www.apache.org/licenses/LICENSE-2.0.html + + In addition, Licensee acknowledges the following notice: + Thrust includes source code from the Boost Iterator, + Tuple, System, and Random Number libraries. + + Boost Software License - Version 1.0 - August 17th, 2003 + . . . . + + Permission is hereby granted, free of charge, to any person or + organization obtaining a copy of the software and accompanying + documentation covered by this license (the "Software") to use, + reproduce, display, distribute, execute, and transmit the Software, + and to prepare derivative works of the Software, and to permit + third-parties to whom the Software is furnished to do so, all + subject to the following: + + The copyright notices in the Software and this entire statement, + including the above license grant, this restriction and the following + disclaimer, must be included in all copies of the Software, in whole + or in part, and all derivative works of the Software, unless such + copies or derivative works are solely in the form of machine-executable + object code generated by a source language processor. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND + NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR + ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR + OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR + OTHER DEALINGS IN THE SOFTWARE. + + 4. 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Also + included in the distribution is a set of C++ wrapper functions, and a just- + in-time compiler that can be used to optimize pattern matching. These are + both optional features that can be omitted when the library is built. + + THE BASIC LIBRARY FUNCTIONS + --------------------------- + Written by: Philip Hazel + Email local part: ph10 + Email domain: cam.ac.uk + University of Cambridge Computing Service, + Cambridge, England. + Copyright (c) 1997-2012 University of Cambridge + All rights reserved. + + PCRE JUST-IN-TIME COMPILATION SUPPORT + ------------------------------------- + Written by: Zoltan Herczeg + Email local part: hzmester + Emain domain: freemail.hu + Copyright(c) 2010-2012 Zoltan Herczeg + All rights reserved. + + STACK-LESS JUST-IN-TIME COMPILER + -------------------------------- + Written by: Zoltan Herczeg + Email local part: hzmester + Emain domain: freemail.hu + Copyright(c) 2009-2012 Zoltan Herczeg + All rights reserved. + + THE C++ WRAPPER FUNCTIONS + ------------------------- + Contributed by: Google Inc. + Copyright (c) 2007-2012, Google Inc. + All rights reserved. + + THE "BSD" LICENCE + ----------------- + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are met: + + * Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + * Neither the name of the University of Cambridge nor the name of Google + Inc. nor the names of their contributors may be used to endorse or + promote products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + ARE DISCLAIMED. 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Some of the cuBLAS library routines were written by or + derived from code written by Vasily Volkov and are subject + to the Modified Berkeley Software Distribution License as + follows: + + Copyright (c) 2007-2009, Regents of the University of California + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the University of California, Berkeley nor + the names of its contributors may be used to endorse or promote + products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR + IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE + DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, + INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES + (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR + SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) + HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, + STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING + IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + POSSIBILITY OF SUCH DAMAGE. + + 7. Some of the cuBLAS library routines were written by or + derived from code written by Davide Barbieri and are + subject to the Modified Berkeley Software Distribution + License as follows: + + Copyright (c) 2008-2009 Davide Barbieri @ University of Rome Tor Vergata. + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * The name of the author may not be used to endorse or promote + products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR + IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE + DISCLAIMED. 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Some of the cuBLAS library routines were derived from + code developed by the University of Tennessee and are + subject to the Modified Berkeley Software Distribution + License as follows: + + Copyright (c) 2010 The University of Tennessee. + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer listed in this license in the documentation and/or + other materials provided with the distribution. + * Neither the name of the copyright holders nor the names of its + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. 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Some of the cuBLAS library routines were written by or + derived from code written by Jonathan Hogg and are subject + to the Modified Berkeley Software Distribution License as + follows: + + Copyright (c) 2012, The Science and Technology Facilities Council (STFC). + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the STFC nor the names of its contributors + may be used to endorse or promote products derived from this + software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. 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Abdelfattah, David + Keyes, and Hatem Ltaief, and are subject to the Apache + License, Version 2.0, as follows: + + -- (C) Copyright 2013 King Abdullah University of Science and Technology + Authors: + Ahmad Abdelfattah (ahmad.ahmad@kaust.edu.sa) + David Keyes (david.keyes@kaust.edu.sa) + Hatem Ltaief (hatem.ltaief@kaust.edu.sa) + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions + are met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + * Neither the name of the King Abdullah University of Science and + Technology nor the names of its contributors may be used to endorse + or promote products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. 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Some of the cuSPARSE library routines were written by or + derived from code written by Li-Wen Chang and are subject + to the NCSA Open Source License as follows: + + Copyright (c) 2012, University of Illinois. + + All rights reserved. + + Developed by: IMPACT Group, University of Illinois, http://impact.crhc.illinois.edu + + Permission is hereby granted, free of charge, to any person obtaining + a copy of this software and associated documentation files (the + "Software"), to deal with the Software without restriction, including + without limitation the rights to use, copy, modify, merge, publish, + distribute, sublicense, and/or sell copies of the Software, and to + permit persons to whom the Software is furnished to do so, subject to + the following conditions: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimers in the documentation and/or other materials provided + with the distribution. + * Neither the names of IMPACT Group, University of Illinois, nor + the names of its contributors may be used to endorse or promote + products derived from this Software without specific prior + written permission. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + NONINFRINGEMENT. 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All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the Hiroshima University nor the names of + its contributors may be used to endorse or promote products + derived from this software without specific prior written + permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. 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Shaw Research. + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions, and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions, and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of D. E. Shaw Research nor the names of its + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. 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Licensee's use of the lz4 third party component is + subject to the following terms and conditions: + + Copyright (C) 2011-2013, Yann Collet. + BSD 2-Clause License (http://www.opensource.org/licenses/bsd-license.php) + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following disclaimer + in the documentation and/or other materials provided with the + distribution. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + 16. The NPP library uses code from the Boost Math Toolkit, + and is subject to the following license: + + Boost Software License - Version 1.0 - August 17th, 2003 + . . . . + + Permission is hereby granted, free of charge, to any person or + organization obtaining a copy of the software and accompanying + documentation covered by this license (the "Software") to use, + reproduce, display, distribute, execute, and transmit the Software, + and to prepare derivative works of the Software, and to permit + third-parties to whom the Software is furnished to do so, all + subject to the following: + + The copyright notices in the Software and this entire statement, + including the above license grant, this restriction and the following + disclaimer, must be included in all copies of the Software, in whole + or in part, and all derivative works of the Software, unless such + copies or derivative works are solely in the form of machine-executable + object code generated by a source language processor. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND + NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR + ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR + OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR + OTHER DEALINGS IN THE SOFTWARE. + + 17. Portions of the Nsight Eclipse Edition is subject to the + following license: + + The Eclipse Foundation makes available all content in this plug-in + ("Content"). Unless otherwise indicated below, the Content is provided + to you under the terms and conditions of the Eclipse Public License + Version 1.0 ("EPL"). A copy of the EPL is available at http:// + www.eclipse.org/legal/epl-v10.html. For purposes of the EPL, "Program" + will mean the Content. + + If you did not receive this Content directly from the Eclipse + Foundation, the Content is being redistributed by another party + ("Redistributor") and different terms and conditions may apply to your + use of any object code in the Content. Check the Redistributor's + license that was provided with the Content. If no such license exists, + contact the Redistributor. Unless otherwise indicated below, the terms + and conditions of the EPL still apply to any source code in the + Content and such source code may be obtained at http://www.eclipse.org. + + 18. Some of the cuBLAS library routines uses code from + OpenAI, which is subject to the following license: + + License URL + https://github.com/openai/openai-gemm/blob/master/LICENSE + + License Text + The MIT License + + Copyright (c) 2016 OpenAI (http://openai.com), 2016 Google Inc. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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All rights reserved. + + Permission is hereby granted, free of charge, to any person + obtaining a copy of this software and associated documentation + files (the "Software"), to deal in the Software without restriction, + including without limitation the rights to use, copy, modify, merge, + publish, distribute, sublicense, and/or sell copies of the Software, + and to permit persons to whom the Software is furnished to do so, + subject to the following conditions: + + The above copyright notice and this permission notice shall be included + in all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS + OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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The DX12-CUDA sample uses the d3dx12.h header, which is + subject to the MIT license . + +----------------- diff --git a/vllm/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.4.127.dist-info/REQUESTED b/vllm/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.4.127.dist-info/REQUESTED new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/vllm/lib/python3.10/site-packages/qwen_vl_utils/__init__.py b/vllm/lib/python3.10/site-packages/qwen_vl_utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..daa8708442e93d5ec3a02e863ad7ae833952d199 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/qwen_vl_utils/__init__.py @@ -0,0 +1,7 @@ +from .vision_process import ( + extract_vision_info, + fetch_image, + fetch_video, + process_vision_info, + smart_resize, +) diff --git a/vllm/lib/python3.10/site-packages/qwen_vl_utils/__pycache__/__init__.cpython-310.pyc b/vllm/lib/python3.10/site-packages/qwen_vl_utils/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..31a49344dc5d4e83ad097e89325ec64846490707 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/qwen_vl_utils/__pycache__/__init__.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/qwen_vl_utils/__pycache__/vision_process.cpython-310.pyc b/vllm/lib/python3.10/site-packages/qwen_vl_utils/__pycache__/vision_process.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e1ed96693c619362626a4fe2b5b4c7c845c1d5a7 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/qwen_vl_utils/__pycache__/vision_process.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py b/vllm/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py new file mode 100644 index 0000000000000000000000000000000000000000..eb456f8685ab82bc5f29d9e79e95afa6ff9909bf --- /dev/null +++ b/vllm/lib/python3.10/site-packages/qwen_vl_utils/vision_process.py @@ -0,0 +1,377 @@ +from __future__ import annotations + +import base64 +import logging +import math +import os +import sys +import time +import warnings +from functools import lru_cache +from io import BytesIO + +import requests +import torch +import torchvision +from packaging import version +from PIL import Image +from torchvision import io, transforms +from torchvision.transforms import InterpolationMode +from typing import Optional + + +logger = logging.getLogger(__name__) + +IMAGE_FACTOR = 28 +MIN_PIXELS = 4 * 28 * 28 +MAX_PIXELS = 16384 * 28 * 28 +MAX_RATIO = 200 + +VIDEO_MIN_PIXELS = 128 * 28 * 28 +VIDEO_MAX_PIXELS = 768 * 28 * 28 +FRAME_FACTOR = 2 +FPS = 2.0 +FPS_MIN_FRAMES = 4 +FPS_MAX_FRAMES = 768 + +# Set the maximum number of video token inputs. +# Here, 128K represents the maximum number of input tokens for the VLLM model. +# Remember to adjust it according to your own configuration. +VIDEO_TOTAL_PIXELS = int(float(os.environ.get('VIDEO_MAX_PIXELS', 128000 * 28 * 28 * 0.9))) +logger.info(f"set VIDEO_TOTAL_PIXELS: {VIDEO_TOTAL_PIXELS}") + + +def round_by_factor(number: int, factor: int) -> int: + """Returns the closest integer to 'number' that is divisible by 'factor'.""" + return round(number / factor) * factor + + +def ceil_by_factor(number: int, factor: int) -> int: + """Returns the smallest integer greater than or equal to 'number' that is divisible by 'factor'.""" + return math.ceil(number / factor) * factor + + +def floor_by_factor(number: int, factor: int) -> int: + """Returns the largest integer less than or equal to 'number' that is divisible by 'factor'.""" + return math.floor(number / factor) * factor + + +def smart_resize( + height: int, width: int, factor: int = IMAGE_FACTOR, min_pixels: int = MIN_PIXELS, max_pixels: int = MAX_PIXELS +) -> tuple[int, int]: + """ + Rescales the image so that the following conditions are met: + + 1. Both dimensions (height and width) are divisible by 'factor'. + + 2. The total number of pixels is within the range ['min_pixels', 'max_pixels']. + + 3. The aspect ratio of the image is maintained as closely as possible. + """ + if max(height, width) / min(height, width) > MAX_RATIO: + raise ValueError( + f"absolute aspect ratio must be smaller than {MAX_RATIO}, got {max(height, width) / min(height, width)}" + ) + h_bar = max(factor, round_by_factor(height, factor)) + w_bar = max(factor, round_by_factor(width, factor)) + if h_bar * w_bar > max_pixels: + beta = math.sqrt((height * width) / max_pixels) + h_bar = floor_by_factor(height / beta, factor) + w_bar = floor_by_factor(width / beta, factor) + elif h_bar * w_bar < min_pixels: + beta = math.sqrt(min_pixels / (height * width)) + h_bar = ceil_by_factor(height * beta, factor) + w_bar = ceil_by_factor(width * beta, factor) + return h_bar, w_bar + + +def to_rgb(pil_image: Image.Image) -> Image.Image: + if pil_image.mode == 'RGBA': + white_background = Image.new("RGB", pil_image.size, (255, 255, 255)) + white_background.paste(pil_image, mask=pil_image.split()[3]) # Use alpha channel as mask + return white_background + else: + return pil_image.convert("RGB") + + +def fetch_image(ele: dict[str, str | Image.Image], size_factor: int = IMAGE_FACTOR) -> Image.Image: + if "image" in ele: + image = ele["image"] + else: + image = ele["image_url"] + image_obj = None + if isinstance(image, Image.Image): + image_obj = image + elif image.startswith("http://") or image.startswith("https://"): + response = requests.get(image, stream=True) + image_obj = Image.open(BytesIO(response.content)) + elif image.startswith("file://"): + image_obj = Image.open(image[7:]) + elif image.startswith("data:image"): + if "base64," in image: + _, base64_data = image.split("base64,", 1) + data = base64.b64decode(base64_data) + image_obj = Image.open(BytesIO(data)) + else: + image_obj = Image.open(image) + if image_obj is None: + raise ValueError(f"Unrecognized image input, support local path, http url, base64 and PIL.Image, got {image}") + image = to_rgb(image_obj) + ## resize + if "resized_height" in ele and "resized_width" in ele: + resized_height, resized_width = smart_resize( + ele["resized_height"], + ele["resized_width"], + factor=size_factor, + ) + else: + width, height = image.size + min_pixels = ele.get("min_pixels", MIN_PIXELS) + max_pixels = ele.get("max_pixels", MAX_PIXELS) + resized_height, resized_width = smart_resize( + height, + width, + factor=size_factor, + min_pixels=min_pixels, + max_pixels=max_pixels, + ) + image = image.resize((resized_width, resized_height)) + + return image + + +def smart_nframes( + ele: dict, + total_frames: int, + video_fps: int | float, +) -> int: + """calculate the number of frames for video used for model inputs. + + Args: + ele (dict): a dict contains the configuration of video. + support either `fps` or `nframes`: + - nframes: the number of frames to extract for model inputs. + - fps: the fps to extract frames for model inputs. + - min_frames: the minimum number of frames of the video, only used when fps is provided. + - max_frames: the maximum number of frames of the video, only used when fps is provided. + total_frames (int): the original total number of frames of the video. + video_fps (int | float): the original fps of the video. + + Raises: + ValueError: nframes should in interval [FRAME_FACTOR, total_frames]. + + Returns: + int: the number of frames for video used for model inputs. + """ + assert not ("fps" in ele and "nframes" in ele), "Only accept either `fps` or `nframes`" + if "nframes" in ele: + nframes = round_by_factor(ele["nframes"], FRAME_FACTOR) + else: + fps = ele.get("fps", FPS) + min_frames = ceil_by_factor(ele.get("min_frames", FPS_MIN_FRAMES), FRAME_FACTOR) + max_frames = floor_by_factor(ele.get("max_frames", min(FPS_MAX_FRAMES, total_frames)), FRAME_FACTOR) + nframes = total_frames / video_fps * fps + if nframes > total_frames: + logger.warning(f"smart_nframes: nframes[{nframes}] > total_frames[{total_frames}]") + nframes = min(min(max(nframes, min_frames), max_frames), total_frames) + nframes = floor_by_factor(nframes, FRAME_FACTOR) + if not (FRAME_FACTOR <= nframes and nframes <= total_frames): + raise ValueError(f"nframes should in interval [{FRAME_FACTOR}, {total_frames}], but got {nframes}.") + return nframes + + +def _read_video_torchvision( + ele: dict, +) -> (torch.Tensor, float): + """read video using torchvision.io.read_video + + Args: + ele (dict): a dict contains the configuration of video. + support keys: + - video: the path of video. support "file://", "http://", "https://" and local path. + - video_start: the start time of video. + - video_end: the end time of video. + Returns: + torch.Tensor: the video tensor with shape (T, C, H, W). + """ + video_path = ele["video"] + if version.parse(torchvision.__version__) < version.parse("0.19.0"): + if "http://" in video_path or "https://" in video_path: + warnings.warn("torchvision < 0.19.0 does not support http/https video path, please upgrade to 0.19.0.") + if "file://" in video_path: + video_path = video_path[7:] + st = time.time() + video, audio, info = io.read_video( + video_path, + start_pts=ele.get("video_start", 0.0), + end_pts=ele.get("video_end", None), + pts_unit="sec", + output_format="TCHW", + ) + total_frames, video_fps = video.size(0), info["video_fps"] + logger.info(f"torchvision: {video_path=}, {total_frames=}, {video_fps=}, time={time.time() - st:.3f}s") + nframes = smart_nframes(ele, total_frames=total_frames, video_fps=video_fps) + idx = torch.linspace(0, total_frames - 1, nframes).round().long() + sample_fps = nframes / max(total_frames, 1e-6) * video_fps + video = video[idx] + return video, sample_fps + + +def is_decord_available() -> bool: + import importlib.util + + return importlib.util.find_spec("decord") is not None + + +def _read_video_decord( + ele: dict, +) -> (torch.Tensor, float): + """read video using decord.VideoReader + + Args: + ele (dict): a dict contains the configuration of video. + support keys: + - video: the path of video. support "file://", "http://", "https://" and local path. + - video_start: the start time of video. + - video_end: the end time of video. + Returns: + torch.Tensor: the video tensor with shape (T, C, H, W). + """ + import decord + video_path = ele["video"] + st = time.time() + vr = decord.VideoReader(video_path) + # TODO: support start_pts and end_pts + if 'video_start' in ele or 'video_end' in ele: + raise NotImplementedError("not support start_pts and end_pts in decord for now.") + total_frames, video_fps = len(vr), vr.get_avg_fps() + logger.info(f"decord: {video_path=}, {total_frames=}, {video_fps=}, time={time.time() - st:.3f}s") + nframes = smart_nframes(ele, total_frames=total_frames, video_fps=video_fps) + idx = torch.linspace(0, total_frames - 1, nframes).round().long().tolist() + video = vr.get_batch(idx).asnumpy() + video = torch.tensor(video).permute(0, 3, 1, 2) # Convert to TCHW format + sample_fps = nframes / max(total_frames, 1e-6) * video_fps + return video, sample_fps + + +VIDEO_READER_BACKENDS = { + "decord": _read_video_decord, + "torchvision": _read_video_torchvision, +} + +FORCE_QWENVL_VIDEO_READER = os.getenv("FORCE_QWENVL_VIDEO_READER", None) + + +@lru_cache(maxsize=1) +def get_video_reader_backend() -> str: + if FORCE_QWENVL_VIDEO_READER is not None: + video_reader_backend = FORCE_QWENVL_VIDEO_READER + elif is_decord_available(): + video_reader_backend = "decord" + else: + video_reader_backend = "torchvision" + print(f"qwen-vl-utils using {video_reader_backend} to read video.", file=sys.stderr) + return video_reader_backend + + +def fetch_video(ele: dict, image_factor: int = IMAGE_FACTOR, return_video_sample_fps: bool = False) -> torch.Tensor | list[Image.Image]: + if isinstance(ele["video"], str): + video_reader_backend = get_video_reader_backend() + try: + video, sample_fps = VIDEO_READER_BACKENDS[video_reader_backend](ele) + except Exception as e: + logger.warning(f"video_reader_backend {video_reader_backend} error, use torchvision as default, msg: {e}") + video, sample_fps = VIDEO_READER_BACKENDS["torchvision"](ele) + + nframes, _, height, width = video.shape + min_pixels = ele.get("min_pixels", VIDEO_MIN_PIXELS) + total_pixels = ele.get("total_pixels", VIDEO_TOTAL_PIXELS) + max_pixels = max(min(VIDEO_MAX_PIXELS, total_pixels / nframes * FRAME_FACTOR), int(min_pixels * 1.05)) + max_pixels_supposed = ele.get("max_pixels", max_pixels) + if max_pixels_supposed > max_pixels: + logger.warning(f"The given max_pixels[{max_pixels_supposed}] exceeds limit[{max_pixels}].") + max_pixels = min(max_pixels_supposed, max_pixels) + if "resized_height" in ele and "resized_width" in ele: + resized_height, resized_width = smart_resize( + ele["resized_height"], + ele["resized_width"], + factor=image_factor, + ) + else: + resized_height, resized_width = smart_resize( + height, + width, + factor=image_factor, + min_pixels=min_pixels, + max_pixels=max_pixels, + ) + video = transforms.functional.resize( + video, + [resized_height, resized_width], + interpolation=InterpolationMode.BICUBIC, + antialias=True, + ).float() + if return_video_sample_fps: + return video, sample_fps + return video + else: + assert isinstance(ele["video"], (list, tuple)) + process_info = ele.copy() + process_info.pop("type", None) + process_info.pop("video", None) + images = [ + fetch_image({"image": video_element, **process_info}, size_factor=image_factor) + for video_element in ele["video"] + ] + nframes = ceil_by_factor(len(images), FRAME_FACTOR) + if len(images) < nframes: + images.extend([images[-1]] * (nframes - len(images))) + if return_video_sample_fps: + return images, process_info.pop("fps", 2.0) + return images + + +def extract_vision_info(conversations: list[dict] | list[list[dict]]) -> list[dict]: + vision_infos = [] + if isinstance(conversations[0], dict): + conversations = [conversations] + for conversation in conversations: + for message in conversation: + if isinstance(message["content"], list): + for ele in message["content"]: + if ( + "image" in ele + or "image_url" in ele + or "video" in ele + or ele["type"] in ("image", "image_url", "video") + ): + vision_infos.append(ele) + return vision_infos + + +def process_vision_info( + conversations: list[dict] | list[list[dict]], + return_video_kwargs: bool = False, +) -> tuple[list[Image.Image] | None, list[torch.Tensor | list[Image.Image]] | None, Optional[dict]]: + + vision_infos = extract_vision_info(conversations) + ## Read images or videos + image_inputs = [] + video_inputs = [] + video_sample_fps_list = [] + for vision_info in vision_infos: + if "image" in vision_info or "image_url" in vision_info: + image_inputs.append(fetch_image(vision_info)) + elif "video" in vision_info: + video_input, video_sample_fps = fetch_video(vision_info, return_video_sample_fps=True) + video_sample_fps_list.append(video_sample_fps) + video_inputs.append(video_input) + else: + raise ValueError("image, image_url or video should in content.") + if len(image_inputs) == 0: + image_inputs = None + if len(video_inputs) == 0: + video_inputs = None + if return_video_kwargs: + return image_inputs, video_inputs, {'fps': video_sample_fps_list} + return image_inputs, video_inputs diff --git a/vllm/lib/python3.10/site-packages/rpds/__init__.py b/vllm/lib/python3.10/site-packages/rpds/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..257da6a7bd439c46cb2409e77531dc4a4dc6295c --- /dev/null +++ b/vllm/lib/python3.10/site-packages/rpds/__init__.py @@ -0,0 +1,5 @@ +from .rpds import * + +__doc__ = rpds.__doc__ +if hasattr(rpds, "__all__"): + __all__ = rpds.__all__ \ No newline at end of file diff --git a/vllm/lib/python3.10/site-packages/rpds/__init__.pyi b/vllm/lib/python3.10/site-packages/rpds/__init__.pyi new file mode 100644 index 0000000000000000000000000000000000000000..5af0e323c1d6d4182d0d373e216a86e520affc87 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/rpds/__init__.pyi @@ -0,0 +1,77 @@ +from typing import ( + ItemsView, + Iterable, + Iterator, + KeysView, + Mapping, + TypeVar, + ValuesView, +) + +_T = TypeVar("_T") +_KT_co = TypeVar("_KT_co", covariant=True) +_VT_co = TypeVar("_VT_co", covariant=True) +_KU_co = TypeVar("_KU_co", covariant=True) +_VU_co = TypeVar("_VU_co", covariant=True) + +class HashTrieMap(Mapping[_KT_co, _VT_co]): + def __init__( + self, + value: Mapping[_KT_co, _VT_co] | Iterable[tuple[_KT_co, _VT_co]] = {}, + **kwds: Mapping[_KT_co, _VT_co], + ): ... + def __getitem__(self, key: _KT_co) -> _VT_co: ... + def __iter__(self) -> Iterator[_KT_co]: ... + def __len__(self) -> int: ... + def discard(self, key: _KT_co) -> HashTrieMap[_KT_co, _VT_co]: ... + def items(self) -> ItemsView[_KT_co, _VT_co]: ... + def keys(self) -> KeysView[_KT_co]: ... + def values(self) -> ValuesView[_VT_co]: ... + def remove(self, key: _KT_co) -> HashTrieMap[_KT_co, _VT_co]: ... + def insert( + self, + key: _KT_co, + val: _VT_co, + ) -> HashTrieMap[_KT_co, _VT_co]: ... + def update( + self, + *args: Mapping[_KU_co, _VU_co] | Iterable[tuple[_KU_co, _VU_co]], + ) -> HashTrieMap[_KT_co | _KU_co, _VT_co | _VU_co]: ... + @classmethod + def convert( + cls, + value: Mapping[_KT_co, _VT_co] | Iterable[tuple[_KT_co, _VT_co]], + ) -> HashTrieMap[_KT_co, _VT_co]: ... + @classmethod + def fromkeys( + cls, + keys: Iterable[_KT_co], + value: _VT_co = None, + ) -> HashTrieMap[_KT_co, _VT_co]: ... + +class HashTrieSet(frozenset[_T]): + def __init__(self, value: Iterable[_T] = ()): ... + def __iter__(self) -> Iterator[_T]: ... + def __len__(self) -> int: ... + def discard(self, value: _T) -> HashTrieSet[_T]: ... + def remove(self, value: _T) -> HashTrieSet[_T]: ... + def insert(self, value: _T) -> HashTrieSet[_T]: ... + def update(self, *args: Iterable[_T]) -> HashTrieSet[_T]: ... + +class List(Iterable[_T]): + def __init__(self, value: Iterable[_T] = (), *more: _T): ... + def __iter__(self) -> Iterator[_T]: ... + def __len__(self) -> int: ... + def push_front(self, value: _T) -> List[_T]: ... + def drop_first(self) -> List[_T]: ... + +class Queue(Iterable[_T]): + def __init__(self, value: Iterable[_T] = (), *more: _T): ... + def __iter__(self) -> Iterator[_T]: ... + def __len__(self) -> int: ... + def enqueue(self, value: _T) -> Queue[_T]: ... + def dequeue(self, value: _T) -> Queue[_T]: ... + @property + def is_empty(self) -> _T: ... + @property + def peek(self) -> _T: ... diff --git a/vllm/lib/python3.10/site-packages/rpds/__pycache__/__init__.cpython-310.pyc b/vllm/lib/python3.10/site-packages/rpds/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e8926724181a98a5e8b3213cbb9e51b2d180b197 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/rpds/__pycache__/__init__.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/rpds/py.typed b/vllm/lib/python3.10/site-packages/rpds/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/vllm/lib/python3.10/site-packages/rpds/rpds.cpython-310-x86_64-linux-gnu.so b/vllm/lib/python3.10/site-packages/rpds/rpds.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..fd9ea8fbec8ab6dc04e5f93f49f18ab160e426e4 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/rpds/rpds.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4ff5ba196aadd529869a99a018a6689426a9776ba89055294fcd0f63c7d1926 +size 1018000 diff --git a/vllm/lib/python3.10/site-packages/shellingham/__pycache__/__init__.cpython-310.pyc b/vllm/lib/python3.10/site-packages/shellingham/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..04cf51681b4aa7067d2ae9df58e8dcce9716163d Binary files /dev/null and b/vllm/lib/python3.10/site-packages/shellingham/__pycache__/__init__.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/shellingham/__pycache__/nt.cpython-310.pyc b/vllm/lib/python3.10/site-packages/shellingham/__pycache__/nt.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..143213368fa283305bf4a242e1b743252d5f5aef Binary files /dev/null and b/vllm/lib/python3.10/site-packages/shellingham/__pycache__/nt.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/shellingham/nt.py b/vllm/lib/python3.10/site-packages/shellingham/nt.py new file mode 100644 index 0000000000000000000000000000000000000000..389551b223a761fa2f97e929b60bf3ca5baed94c --- /dev/null +++ b/vllm/lib/python3.10/site-packages/shellingham/nt.py @@ -0,0 +1,163 @@ +import contextlib +import ctypes +import os + +from ctypes.wintypes import ( + BOOL, + CHAR, + DWORD, + HANDLE, + LONG, + LPWSTR, + MAX_PATH, + PDWORD, + ULONG, +) + +from shellingham._core import SHELL_NAMES + + +INVALID_HANDLE_VALUE = HANDLE(-1).value +ERROR_NO_MORE_FILES = 18 +ERROR_INSUFFICIENT_BUFFER = 122 +TH32CS_SNAPPROCESS = 2 +PROCESS_QUERY_LIMITED_INFORMATION = 0x1000 + + +kernel32 = ctypes.windll.kernel32 + + +def _check_handle(error_val=0): + def check(ret, func, args): + if ret == error_val: + raise ctypes.WinError() + return ret + + return check + + +def _check_expected(expected): + def check(ret, func, args): + if ret: + return True + code = ctypes.GetLastError() + if code == expected: + return False + raise ctypes.WinError(code) + + return check + + +class ProcessEntry32(ctypes.Structure): + _fields_ = ( + ("dwSize", DWORD), + ("cntUsage", DWORD), + ("th32ProcessID", DWORD), + ("th32DefaultHeapID", ctypes.POINTER(ULONG)), + ("th32ModuleID", DWORD), + ("cntThreads", DWORD), + ("th32ParentProcessID", DWORD), + ("pcPriClassBase", LONG), + ("dwFlags", DWORD), + ("szExeFile", CHAR * MAX_PATH), + ) + + +kernel32.CloseHandle.argtypes = [HANDLE] +kernel32.CloseHandle.restype = BOOL + +kernel32.CreateToolhelp32Snapshot.argtypes = [DWORD, DWORD] +kernel32.CreateToolhelp32Snapshot.restype = HANDLE +kernel32.CreateToolhelp32Snapshot.errcheck = _check_handle( # type: ignore + INVALID_HANDLE_VALUE, +) + +kernel32.Process32First.argtypes = [HANDLE, ctypes.POINTER(ProcessEntry32)] +kernel32.Process32First.restype = BOOL +kernel32.Process32First.errcheck = _check_expected( # type: ignore + ERROR_NO_MORE_FILES, +) + +kernel32.Process32Next.argtypes = [HANDLE, ctypes.POINTER(ProcessEntry32)] +kernel32.Process32Next.restype = BOOL +kernel32.Process32Next.errcheck = _check_expected( # type: ignore + ERROR_NO_MORE_FILES, +) + +kernel32.GetCurrentProcessId.argtypes = [] +kernel32.GetCurrentProcessId.restype = DWORD + +kernel32.OpenProcess.argtypes = [DWORD, BOOL, DWORD] +kernel32.OpenProcess.restype = HANDLE +kernel32.OpenProcess.errcheck = _check_handle( # type: ignore + INVALID_HANDLE_VALUE, +) + +kernel32.QueryFullProcessImageNameW.argtypes = [HANDLE, DWORD, LPWSTR, PDWORD] +kernel32.QueryFullProcessImageNameW.restype = BOOL +kernel32.QueryFullProcessImageNameW.errcheck = _check_expected( # type: ignore + ERROR_INSUFFICIENT_BUFFER, +) + + +@contextlib.contextmanager +def _handle(f, *args, **kwargs): + handle = f(*args, **kwargs) + try: + yield handle + finally: + kernel32.CloseHandle(handle) + + +def _iter_processes(): + f = kernel32.CreateToolhelp32Snapshot + with _handle(f, TH32CS_SNAPPROCESS, 0) as snap: + entry = ProcessEntry32() + entry.dwSize = ctypes.sizeof(entry) + ret = kernel32.Process32First(snap, entry) + while ret: + yield entry + ret = kernel32.Process32Next(snap, entry) + + +def _get_full_path(proch): + size = DWORD(MAX_PATH) + while True: + path_buff = ctypes.create_unicode_buffer("", size.value) + if kernel32.QueryFullProcessImageNameW(proch, 0, path_buff, size): + return path_buff.value + size.value *= 2 + + +def get_shell(pid=None, max_depth=10): + proc_map = { + proc.th32ProcessID: (proc.th32ParentProcessID, proc.szExeFile) + for proc in _iter_processes() + } + pid = pid or os.getpid() + + for _ in range(0, max_depth + 1): + try: + ppid, executable = proc_map[pid] + except KeyError: # No such process? Give up. + break + + # The executable name would be encoded with the current code page if + # we're in ANSI mode (usually). Try to decode it into str/unicode, + # replacing invalid characters to be safe (not thoeratically necessary, + # I think). Note that we need to use 'mbcs' instead of encoding + # settings from sys because this is from the Windows API, not Python + # internals (which those settings reflect). (pypa/pipenv#3382) + if isinstance(executable, bytes): + executable = executable.decode("mbcs", "replace") + + name = executable.rpartition(".")[0].lower() + if name not in SHELL_NAMES: + pid = ppid + continue + + key = PROCESS_QUERY_LIMITED_INFORMATION + with _handle(kernel32.OpenProcess, key, 0, pid) as proch: + return (name, _get_full_path(proch)) + + return None diff --git a/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/__init__.cpython-310.pyc b/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e1b7000b303cee228c5ae62c4440ce89832a8d52 Binary files /dev/null and b/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/__init__.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/proc.cpython-310.pyc b/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/proc.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..cb6bf837b49267c7874129616e251cbe30f1ef2b Binary files /dev/null and b/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/proc.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/ps.cpython-310.pyc b/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/ps.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e5a6c557e99c3e552b9145ad4ebb53500d898e2b Binary files /dev/null and b/vllm/lib/python3.10/site-packages/shellingham/posix/__pycache__/ps.cpython-310.pyc differ diff --git a/vllm/lib/python3.10/site-packages/shellingham/posix/_core.py b/vllm/lib/python3.10/site-packages/shellingham/posix/_core.py new file mode 100644 index 0000000000000000000000000000000000000000..adc49e6e7a9d3edf062c55e0078136899f78d30d --- /dev/null +++ b/vllm/lib/python3.10/site-packages/shellingham/posix/_core.py @@ -0,0 +1,3 @@ +import collections + +Process = collections.namedtuple("Process", "args pid ppid") diff --git a/vllm/lib/python3.10/site-packages/shellingham/posix/proc.py b/vllm/lib/python3.10/site-packages/shellingham/posix/proc.py new file mode 100644 index 0000000000000000000000000000000000000000..950f63228e5b328f82b70da8851ec60c6a2ff029 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/shellingham/posix/proc.py @@ -0,0 +1,83 @@ +import io +import os +import re +import sys + +from ._core import Process + +# FreeBSD: https://www.freebsd.org/cgi/man.cgi?query=procfs +# NetBSD: https://man.netbsd.org/NetBSD-9.3-STABLE/mount_procfs.8 +# DragonFlyBSD: https://www.dragonflybsd.org/cgi/web-man?command=procfs +BSD_STAT_PPID = 2 + +# See https://docs.kernel.org/filesystems/proc.html +LINUX_STAT_PPID = 3 + +STAT_PATTERN = re.compile(r"\(.+\)|\S+") + + +def detect_proc(): + """Detect /proc filesystem style. + + This checks the /proc/{pid} directory for possible formats. Returns one of + the following as str: + + * `stat`: Linux-style, i.e. ``/proc/{pid}/stat``. + * `status`: BSD-style, i.e. ``/proc/{pid}/status``. + """ + pid = os.getpid() + for name in ("stat", "status"): + if os.path.exists(os.path.join("/proc", str(pid), name)): + return name + raise ProcFormatError("unsupported proc format") + + +def _use_bsd_stat_format(): + try: + return os.uname().sysname.lower() in ("freebsd", "netbsd", "dragonfly") + except Exception: + return False + + +def _get_ppid(pid, name): + path = os.path.join("/proc", str(pid), name) + with io.open(path, encoding="ascii", errors="replace") as f: + parts = STAT_PATTERN.findall(f.read()) + # We only care about TTY and PPID -- both are numbers. + if _use_bsd_stat_format(): + return parts[BSD_STAT_PPID] + return parts[LINUX_STAT_PPID] + + +def _get_cmdline(pid): + path = os.path.join("/proc", str(pid), "cmdline") + encoding = sys.getfilesystemencoding() or "utf-8" + with io.open(path, encoding=encoding, errors="replace") as f: + # XXX: Command line arguments can be arbitrary byte sequences, not + # necessarily decodable. For Shellingham's purpose, however, we don't + # care. (pypa/pipenv#2820) + # cmdline appends an extra NULL at the end, hence the [:-1]. + return tuple(f.read().split("\0")[:-1]) + + +class ProcFormatError(EnvironmentError): + pass + + +def iter_process_parents(pid, max_depth=10): + """Try to look up the process tree via the /proc interface.""" + stat_name = detect_proc() + + # Inner generator function so we correctly throw an error eagerly if proc + # is not supported, rather than on the first call to the iterator. This + # allows the call site detects the correct implementation. + def _iter_process_parents(pid, max_depth): + for _ in range(max_depth): + ppid = _get_ppid(pid, stat_name) + args = _get_cmdline(pid) + yield Process(args=args, pid=pid, ppid=ppid) + if ppid == "0": + break + pid = ppid + + return _iter_process_parents(pid, max_depth) diff --git a/vllm/lib/python3.10/site-packages/shellingham/posix/ps.py b/vllm/lib/python3.10/site-packages/shellingham/posix/ps.py new file mode 100644 index 0000000000000000000000000000000000000000..3bc39a74a56390c263e63bfead028f6bce4df3cb --- /dev/null +++ b/vllm/lib/python3.10/site-packages/shellingham/posix/ps.py @@ -0,0 +1,51 @@ +import errno +import subprocess +import sys + +from ._core import Process + + +class PsNotAvailable(EnvironmentError): + pass + + +def iter_process_parents(pid, max_depth=10): + """Try to look up the process tree via the output of `ps`.""" + try: + cmd = ["ps", "-ww", "-o", "pid=", "-o", "ppid=", "-o", "args="] + output = subprocess.check_output(cmd) + except OSError as e: # Python 2-compatible FileNotFoundError. + if e.errno != errno.ENOENT: + raise + raise PsNotAvailable("ps not found") + except subprocess.CalledProcessError as e: + # `ps` can return 1 if the process list is completely empty. + # (sarugaku/shellingham#15) + if not e.output.strip(): + return + raise + if not isinstance(output, str): + encoding = sys.getfilesystemencoding() or sys.getdefaultencoding() + output = output.decode(encoding) + + processes_mapping = {} + for line in output.split("\n"): + try: + _pid, ppid, args = line.strip().split(None, 2) + # XXX: This is not right, but we are really out of options. + # ps does not offer a sane way to decode the argument display, + # and this is "Good Enough" for obtaining shell names. 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= triton.profiler.proton:main +proton-viewer = triton.profiler.viewer:main diff --git a/vllm/lib/python3.10/site-packages/triton-3.1.0.dist-info/top_level.txt b/vllm/lib/python3.10/site-packages/triton-3.1.0.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..1016c8445b5539e982b3a35cd969e4b758233df1 --- /dev/null +++ b/vllm/lib/python3.10/site-packages/triton-3.1.0.dist-info/top_level.txt @@ -0,0 +1,15 @@ +triton +triton/_C +triton/backends +triton/backends/amd +triton/backends/nvidia +triton/compiler +triton/language +triton/language/extra +triton/language/extra/cuda +triton/language/extra/hip +triton/ops +triton/ops/blocksparse +triton/profiler +triton/runtime +triton/tools diff --git a/vllm/lib/python3.10/site-packages/uvicorn-0.34.0.dist-info/entry_points.txt b/vllm/lib/python3.10/site-packages/uvicorn-0.34.0.dist-info/entry_points.txt new file mode 100644 index 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