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env-llmeval/lib/python3.10/site-packages/charset_normalizer/__init__.py

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+# -*- coding: utf-8 -*-
+"""
+Charset-Normalizer
+~~~~~~~~~~~~~~
+The Real First Universal Charset Detector.
+A library that helps you read text from an unknown charset encoding.
+Motivated by chardet, This package is trying to resolve the issue by taking a new approach.
+All IANA character set names for which the Python core library provides codecs are supported.
+
+Basic usage:
+   >>> from charset_normalizer import from_bytes
+   >>> results = from_bytes('Bсеки човек има право на образование. Oбразованието!'.encode('utf_8'))
+   >>> best_guess = results.best()
+   >>> str(best_guess)
+   'Bсеки човек има право на образование. Oбразованието!'
+
+Others methods and usages are available - see the full documentation
+at <https://github.com/Ousret/charset_normalizer>.
+:copyright: (c) 2021 by Ahmed TAHRI
+:license: MIT, see LICENSE for more details.
+"""
+import logging
+
+from .api import from_bytes, from_fp, from_path, is_binary
+from .legacy import detect
+from .models import CharsetMatch, CharsetMatches
+from .utils import set_logging_handler
+from .version import VERSION, __version__
+
+__all__ = (
+    "from_fp",
+    "from_path",
+    "from_bytes",
+    "is_binary",
+    "detect",
+    "CharsetMatch",
+    "CharsetMatches",
+    "__version__",
+    "VERSION",
+    "set_logging_handler",
+)
+
+# Attach a NullHandler to the top level logger by default
+# https://docs.python.org/3.3/howto/logging.html#configuring-logging-for-a-library
+
+logging.getLogger("charset_normalizer").addHandler(logging.NullHandler())

env-llmeval/lib/python3.10/site-packages/charset_normalizer/cd.py

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+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
+    )

env-llmeval/lib/python3.10/site-packages/charset_normalizer/models.py

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+from encodings.aliases import aliases
+from hashlib import sha256
+from json import dumps
+from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
+
+from .constant import 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,
+    ):
+        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
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, CharsetMatch):
+            raise TypeError(
+                "__eq__ cannot be invoked on {} and {}.".format(
+                    str(other.__class__), str(self.__class__)
+                )
+            )
+        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 "<CharsetMatch '{}' bytes({})>".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
+            self._output_payload = str(self).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)

env-llmeval/lib/python3.10/site-packages/colorama-0.4.6.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

env-llmeval/lib/python3.10/site-packages/colorama-0.4.6.dist-info/METADATA

@@ -0,0 +1,441 @@
+Metadata-Version: 2.1
+Name: colorama
+Version: 0.4.6
+Summary: Cross-platform colored terminal text.
+Project-URL: Homepage, https://github.com/tartley/colorama
+Author-email: Jonathan Hartley <[email protected]>
+License-File: LICENSE.txt
+Keywords: ansi,color,colour,crossplatform,terminal,text,windows,xplatform
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Console
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Terminals
+Requires-Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7
+Description-Content-Type: text/x-rst
+
+.. image:: https://img.shields.io/pypi/v/colorama.svg
+    :target: https://pypi.org/project/colorama/
+    :alt: Latest Version
+
+.. image:: https://img.shields.io/pypi/pyversions/colorama.svg
+    :target: https://pypi.org/project/colorama/
+    :alt: Supported Python versions
+
+.. image:: https://github.com/tartley/colorama/actions/workflows/test.yml/badge.svg
+    :target: https://github.com/tartley/colorama/actions/workflows/test.yml
+    :alt: Build Status
+
+Colorama
+========
+
+Makes ANSI escape character sequences (for producing colored terminal text and
+cursor positioning) work under MS Windows.
+
+.. |donate| image:: https://www.paypalobjects.com/en_US/i/btn/btn_donate_SM.gif
+  :target: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=2MZ9D2GMLYCUJ&item_name=Colorama&currency_code=USD
+  :alt: Donate with Paypal
+
+`PyPI for releases <https://pypi.org/project/colorama/>`_ |
+`Github for source <https://github.com/tartley/colorama>`_ |
+`Colorama for enterprise on Tidelift <https://github.com/tartley/colorama/blob/master/ENTERPRISE.md>`_
+
+If you find Colorama useful, please |donate| to the authors. Thank you!
+
+Installation
+------------
+
+Tested on CPython 2.7, 3.7, 3.8, 3.9 and 3.10 and Pypy 2.7 and 3.8.
+
+No requirements other than the standard library.
+
+.. code-block:: bash
+
+    pip install colorama
+    # or
+    conda install -c anaconda colorama
+
+Description
+-----------
+
+ANSI escape character sequences have long been used to produce colored terminal
+text and cursor positioning on Unix and Macs. Colorama makes this work on
+Windows, too, by wrapping ``stdout``, stripping ANSI sequences it finds (which
+would appear as gobbledygook in the output), and converting them into the
+appropriate win32 calls to modify the state of the terminal. On other platforms,
+Colorama does nothing.
+
+This has the upshot of providing a simple cross-platform API for printing
+colored terminal text from Python, and has the happy side-effect that existing
+applications or libraries which use ANSI sequences to produce colored output on
+Linux or Macs can now also work on Windows, simply by calling
+``colorama.just_fix_windows_console()`` (since v0.4.6) or ``colorama.init()``
+(all versions, but may have other side-effects – see below).
+
+An alternative approach is to install ``ansi.sys`` on Windows machines, which
+provides the same behaviour for all applications running in terminals. Colorama
+is intended for situations where that isn't easy (e.g., maybe your app doesn't
+have an installer.)
+
+Demo scripts in the source code repository print some colored text using
+ANSI sequences. Compare their output under Gnome-terminal's built in ANSI
+handling, versus on Windows Command-Prompt using Colorama:
+
+.. image:: https://github.com/tartley/colorama/raw/master/screenshots/ubuntu-demo.png
+    :width: 661
+    :height: 357
+    :alt: ANSI sequences on Ubuntu under gnome-terminal.
+
+.. image:: https://github.com/tartley/colorama/raw/master/screenshots/windows-demo.png
+    :width: 668
+    :height: 325
+    :alt: Same ANSI sequences on Windows, using Colorama.
+
+These screenshots show that, on Windows, Colorama does not support ANSI 'dim
+text'; it looks the same as 'normal text'.
+
+Usage
+-----
+
+Initialisation
+..............
+
+If the only thing you want from Colorama is to get ANSI escapes to work on
+Windows, then run:
+
+.. code-block:: python
+
+    from colorama import just_fix_windows_console
+    just_fix_windows_console()
+
+If you're on a recent version of Windows 10 or better, and your stdout/stderr
+are pointing to a Windows console, then this will flip the magic configuration
+switch to enable Windows' built-in ANSI support.
+
+If you're on an older version of Windows, and your stdout/stderr are pointing to
+a Windows console, then this will wrap ``sys.stdout`` and/or ``sys.stderr`` in a
+magic file object that intercepts ANSI escape sequences and issues the
+appropriate Win32 calls to emulate them.
+
+In all other circumstances, it does nothing whatsoever. Basically the idea is
+that this makes Windows act like Unix with respect to ANSI escape handling.
+
+It's safe to call this function multiple times. It's safe to call this function
+on non-Windows platforms, but it won't do anything. It's safe to call this
+function when one or both of your stdout/stderr are redirected to a file – it
+won't do anything to those streams.
+
+Alternatively, you can use the older interface with more features (but also more
+potential footguns):
+
+.. code-block:: python
+
+    from colorama import init
+    init()
+
+This does the same thing as ``just_fix_windows_console``, except for the
+following differences:
+
+- It's not safe to call ``init`` multiple times; you can end up with multiple
+  layers of wrapping and broken ANSI support.
+
+- Colorama will apply a heuristic to guess whether stdout/stderr support ANSI,
+  and if it thinks they don't, then it will wrap ``sys.stdout`` and
+  ``sys.stderr`` in a magic file object that strips out ANSI escape sequences
+  before printing them. This happens on all platforms, and can be convenient if
+  you want to write your code to emit ANSI escape sequences unconditionally, and
+  let Colorama decide whether they should actually be output. But note that
+  Colorama's heuristic is not particularly clever.
+
+- ``init`` also accepts explicit keyword args to enable/disable various
+  functionality – see below.
+
+To stop using Colorama before your program exits, simply call ``deinit()``.
+This will restore ``stdout`` and ``stderr`` to their original values, so that
+Colorama is disabled. To resume using Colorama again, call ``reinit()``; it is
+cheaper than calling ``init()`` again (but does the same thing).
+
+Most users should depend on ``colorama >= 0.4.6``, and use
+``just_fix_windows_console``. The old ``init`` interface will be supported
+indefinitely for backwards compatibility, but we don't plan to fix any issues
+with it, also for backwards compatibility.
+
+Colored Output
+..............
+
+Cross-platform printing of colored text can then be done using Colorama's
+constant shorthand for ANSI escape sequences. These are deliberately
+rudimentary, see below.
+
+.. code-block:: python
+
+    from colorama import Fore, Back, Style
+    print(Fore.RED + 'some red text')
+    print(Back.GREEN + 'and with a green background')
+    print(Style.DIM + 'and in dim text')
+    print(Style.RESET_ALL)
+    print('back to normal now')
+
+...or simply by manually printing ANSI sequences from your own code:
+
+.. code-block:: python
+
+    print('\033[31m' + 'some red text')
+    print('\033[39m') # and reset to default color
+
+...or, Colorama can be used in conjunction with existing ANSI libraries
+such as the venerable `Termcolor <https://pypi.org/project/termcolor/>`_
+the fabulous `Blessings <https://pypi.org/project/blessings/>`_,
+or the incredible `_Rich <https://pypi.org/project/rich/>`_.
+
+If you wish Colorama's Fore, Back and Style constants were more capable,
+then consider using one of the above highly capable libraries to generate
+colors, etc, and use Colorama just for its primary purpose: to convert
+those ANSI sequences to also work on Windows:
+
+SIMILARLY, do not send PRs adding the generation of new ANSI types to Colorama.
+We are only interested in converting ANSI codes to win32 API calls, not
+shortcuts like the above to generate ANSI characters.
+
+.. code-block:: python
+
+    from colorama import just_fix_windows_console
+    from termcolor import colored
+
+    # use Colorama to make Termcolor work on Windows too
+    just_fix_windows_console()
+
+    # then use Termcolor for all colored text output
+    print(colored('Hello, World!', 'green', 'on_red'))
+
+Available formatting constants are::
+
+    Fore: BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE, RESET.
+    Back: BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE, RESET.
+    Style: DIM, NORMAL, BRIGHT, RESET_ALL
+
+``Style.RESET_ALL`` resets foreground, background, and brightness. Colorama will
+perform this reset automatically on program exit.
+
+These are fairly well supported, but not part of the standard::
+
+    Fore: LIGHTBLACK_EX, LIGHTRED_EX, LIGHTGREEN_EX, LIGHTYELLOW_EX, LIGHTBLUE_EX, LIGHTMAGENTA_EX, LIGHTCYAN_EX, LIGHTWHITE_EX
+    Back: LIGHTBLACK_EX, LIGHTRED_EX, LIGHTGREEN_EX, LIGHTYELLOW_EX, LIGHTBLUE_EX, LIGHTMAGENTA_EX, LIGHTCYAN_EX, LIGHTWHITE_EX
+
+Cursor Positioning
+..................
+
+ANSI codes to reposition the cursor are supported. See ``demos/demo06.py`` for
+an example of how to generate them.
+
+Init Keyword Args
+.................
+
+``init()`` accepts some ``**kwargs`` to override default behaviour.
+
+init(autoreset=False):
+    If you find yourself repeatedly sending reset sequences to turn off color
+    changes at the end of every print, then ``init(autoreset=True)`` will
+    automate that:
+
+    .. code-block:: python
+
+        from colorama import init
+        init(autoreset=True)
+        print(Fore.RED + 'some red text')
+        print('automatically back to default color again')
+
+init(strip=None):
+    Pass ``True`` or ``False`` to override whether ANSI codes should be
+    stripped from the output. The default behaviour is to strip if on Windows
+    or if output is redirected (not a tty).
+
+init(convert=None):
+    Pass ``True`` or ``False`` to override whether to convert ANSI codes in the
+    output into win32 calls. The default behaviour is to convert if on Windows
+    and output is to a tty (terminal).
+
+init(wrap=True):
+    On Windows, Colorama works by replacing ``sys.stdout`` and ``sys.stderr``
+    with proxy objects, which override the ``.write()`` method to do their work.
+    If this wrapping causes you problems, then this can be disabled by passing
+    ``init(wrap=False)``. The default behaviour is to wrap if ``autoreset`` or
+    ``strip`` or ``convert`` are True.
+
+    When wrapping is disabled, colored printing on non-Windows platforms will
+    continue to work as normal. To do cross-platform colored output, you can
+    use Colorama's ``AnsiToWin32`` proxy directly:
+
+    .. code-block:: python
+
+        import sys
+        from colorama import init, AnsiToWin32
+        init(wrap=False)
+        stream = AnsiToWin32(sys.stderr).stream
+
+        # Python 2
+        print >>stream, Fore.BLUE + 'blue text on stderr'
+
+        # Python 3
+        print(Fore.BLUE + 'blue text on stderr', file=stream)
+
+Recognised ANSI Sequences
+.........................
+
+ANSI sequences generally take the form::
+
+    ESC [ <param> ; <param> ... <command>
+
+Where ``<param>`` is an integer, and ``<command>`` is a single letter. Zero or
+more params are passed to a ``<command>``. If no params are passed, it is
+generally synonymous with passing a single zero. No spaces exist in the
+sequence; they have been inserted here simply to read more easily.
+
+The only ANSI sequences that Colorama converts into win32 calls are::
+
+    ESC [ 0 m       # reset all (colors and brightness)
+    ESC [ 1 m       # bright
+    ESC [ 2 m       # dim (looks same as normal brightness)
+    ESC [ 22 m      # normal brightness
+
+    # FOREGROUND:
+    ESC [ 30 m      # black
+    ESC [ 31 m      # red
+    ESC [ 32 m      # green
+    ESC [ 33 m      # yellow
+    ESC [ 34 m      # blue
+    ESC [ 35 m      # magenta
+    ESC [ 36 m      # cyan
+    ESC [ 37 m      # white
+    ESC [ 39 m      # reset
+
+    # BACKGROUND
+    ESC [ 40 m      # black
+    ESC [ 41 m      # red
+    ESC [ 42 m      # green
+    ESC [ 43 m      # yellow
+    ESC [ 44 m      # blue
+    ESC [ 45 m      # magenta
+    ESC [ 46 m      # cyan
+    ESC [ 47 m      # white
+    ESC [ 49 m      # reset
+
+    # cursor positioning
+    ESC [ y;x H     # position cursor at x across, y down
+    ESC [ y;x f     # position cursor at x across, y down
+    ESC [ n A       # move cursor n lines up
+    ESC [ n B       # move cursor n lines down
+    ESC [ n C       # move cursor n characters forward
+    ESC [ n D       # move cursor n characters backward
+
+    # clear the screen
+    ESC [ mode J    # clear the screen
+
+    # clear the line
+    ESC [ mode K    # clear the line
+
+Multiple numeric params to the ``'m'`` command can be combined into a single
+sequence::
+
+    ESC [ 36 ; 45 ; 1 m     # bright cyan text on magenta background
+
+All other ANSI sequences of the form ``ESC [ <param> ; <param> ... <command>``
+are silently stripped from the output on Windows.
+
+Any other form of ANSI sequence, such as single-character codes or alternative
+initial characters, are not recognised or stripped. It would be cool to add
+them though. Let me know if it would be useful for you, via the Issues on
+GitHub.
+
+Status & Known Problems
+-----------------------
+
+I've personally only tested it on Windows XP (CMD, Console2), Ubuntu
+(gnome-terminal, xterm), and OS X.
+
+Some valid ANSI sequences aren't recognised.
+
+If you're hacking on the code, see `README-hacking.md`_. ESPECIALLY, see the
+explanation there of why we do not want PRs that allow Colorama to generate new
+types of ANSI codes.
+
+See outstanding issues and wish-list:
+https://github.com/tartley/colorama/issues
+
+If anything doesn't work for you, or doesn't do what you expected or hoped for,
+I'd love to hear about it on that issues list, would be delighted by patches,
+and would be happy to grant commit access to anyone who submits a working patch
+or two.
+
+.. _README-hacking.md: README-hacking.md
+
+License
+-------
+
+Copyright Jonathan Hartley & Arnon Yaari, 2013-2020. BSD 3-Clause license; see
+LICENSE file.
+
+Professional support
+--------------------
+
+.. |tideliftlogo| image:: https://cdn2.hubspot.net/hubfs/4008838/website/logos/logos_for_download/Tidelift_primary-shorthand-logo.png
+   :alt: Tidelift
+   :target: https://tidelift.com/subscription/pkg/pypi-colorama?utm_source=pypi-colorama&utm_medium=referral&utm_campaign=readme
+
+.. list-table::
+   :widths: 10 100
+
+   * - |tideliftlogo|
+     - Professional support for colorama is available as part of the
+       `Tidelift Subscription`_.
+       Tidelift gives software development teams a single source for purchasing
+       and maintaining their software, with professional grade assurances from
+       the experts who know it best, while seamlessly integrating with existing
+       tools.
+
+.. _Tidelift Subscription: https://tidelift.com/subscription/pkg/pypi-colorama?utm_source=pypi-colorama&utm_medium=referral&utm_campaign=readme
+
+Thanks
+------
+
+See the CHANGELOG for more thanks!
+
+* Marc Schlaich (schlamar) for a ``setup.py`` fix for Python2.5.
+* Marc Abramowitz, reported & fixed a crash on exit with closed ``stdout``,
+  providing a solution to issue #7's setuptools/distutils debate,
+  and other fixes.
+* User 'eryksun', for guidance on correctly instantiating ``ctypes.windll``.
+* Matthew McCormick for politely pointing out a longstanding crash on non-Win.
+* Ben Hoyt, for a magnificent fix under 64-bit Windows.
+* Jesse at Empty Square for submitting a fix for examples in the README.
+* User 'jamessp', an observant documentation fix for cursor positioning.
+* User 'vaal1239', Dave Mckee & Lackner Kristof for a tiny but much-needed Win7
+  fix.
+* Julien Stuyck, for wisely suggesting Python3 compatible updates to README.
+* Daniel Griffith for multiple fabulous patches.
+* Oscar Lesta for a valuable fix to stop ANSI chars being sent to non-tty
+  output.
+* Roger Binns, for many suggestions, valuable feedback, & bug reports.
+* Tim Golden for thought and much appreciated feedback on the initial idea.
+* User 'Zearin' for updates to the README file.
+* John Szakmeister for adding support for light colors
+* Charles Merriam for adding documentation to demos
+* Jurko for a fix on 64-bit Windows CPython2.5 w/o ctypes
+* Florian Bruhin for a fix when stdout or stderr are None
+* Thomas Weininger for fixing ValueError on Windows
+* Remi Rampin for better Github integration and fixes to the README file
+* Simeon Visser for closing a file handle using 'with' and updating classifiers
+  to include Python 3.3 and 3.4
+* Andy Neff for fixing RESET of LIGHT_EX colors.
+* Jonathan Hartley for the initial idea and implementation.

env-llmeval/lib/python3.10/site-packages/colorama-0.4.6.dist-info/RECORD

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env-llmeval/lib/python3.10/site-packages/colorama-0.4.6.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: hatchling 1.11.1
+Root-Is-Purelib: true
+Tag: py2-none-any
+Tag: py3-none-any

env-llmeval/lib/python3.10/site-packages/colorama-0.4.6.dist-info/licenses/LICENSE.txt

@@ -0,0 +1,27 @@
+Copyright (c) 2010 Jonathan Hartley
+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 copyright holders, nor those 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. IN NO EVENT SHALL THE COPYRIGHT HOLDER 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.

env-llmeval/lib/python3.10/site-packages/jsonlines/__init__.py

@@ -0,0 +1,20 @@
+"""
+Module for the jsonlines data format.
+"""
+
+# expose only public api
+from .jsonlines import (
+    Error,
+    InvalidLineError,
+    Reader,
+    Writer,
+    open,
+)
+
+__all__ = [
+    "Error",
+    "InvalidLineError",
+    "Reader",
+    "Writer",
+    "open",
+]

env-llmeval/lib/python3.10/site-packages/jsonlines/jsonlines.py

@@ -0,0 +1,665 @@
+"""
+jsonlines implementation
+"""
+
+import builtins
+import codecs
+import enum
+import io
+import json
+import os
+import types
+import typing
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    Iterable,
+    Iterator,
+    List,
+    Literal,
+    Optional,
+    Tuple,
+    Type,
+    TypeVar,
+    Union,
+    cast,
+    overload,
+)
+
+import attr
+
+orjson: Optional[types.ModuleType]
+try:
+    import orjson
+except ImportError:
+    orjson = None
+
+ujson: Optional[types.ModuleType]
+try:
+    import ujson
+except ImportError:
+    ujson = None
+
+
+VALID_TYPES = {
+    bool,
+    dict,
+    float,
+    int,
+    list,
+    str,
+}
+
+# Characters to skip at the beginning of a line. Note: at most one such
+# character is skipped per line.
+SKIPPABLE_SINGLE_INITIAL_CHARS = (
+    "\x1e",  # RFC7464 text sequence
+    codecs.BOM_UTF8.decode(),
+)
+
+
+class DumpsResultConversion(enum.Enum):
+    LeaveAsIs = enum.auto()
+    EncodeToBytes = enum.auto()
+    DecodeToString = enum.auto()
+
+
+# https://docs.python.org/3/library/functions.html#open
+Openable = Union[str, bytes, int, os.PathLike]
+
+LoadsCallable = Callable[[Union[str, bytes]], Any]
+DumpsCallable = Callable[[Any], Union[str, bytes]]
+
+# Currently, JSON structures cannot be typed properly:
+# - https://github.com/python/typing/issues/182
+# - https://github.com/python/mypy/issues/731
+JSONCollection = Union[Dict[str, Any], List[Any]]
+JSONScalar = Union[bool, float, int, str]
+JSONValue = Union[JSONCollection, JSONScalar]
+TJSONValue = TypeVar("TJSONValue", bound=JSONValue)
+
+TRW = TypeVar("TRW", bound="ReaderWriterBase")
+
+# Default to using the fastest JSON library for reading, falling back to the
+# standard library (always available) if none are installed.
+if orjson is not None:
+    default_loads = orjson.loads
+elif ujson is not None:
+    default_loads = ujson.loads
+else:
+    default_loads = json.loads
+
+
+# For writing, use the stdlib. Other packages may be faster but their behaviour
+# (supported types etc.) and output (whitespace etc.) are not the same as the
+# stdlib json module, so this should be opt-in via the ‘dumps=’ arg.
+def default_dumps(obj: Any) -> str:
+    """
+    Fake ``dumps()`` function to use as a default marker.
+    """
+    raise NotImplementedError  # pragma: no cover
+
+
+@attr.s(auto_exc=True, auto_attribs=True)
+class Error(Exception):
+    """
+    Base error class.
+    """
+
+    message: str
+
+
+@attr.s(auto_exc=True, auto_attribs=True, init=False)
+class InvalidLineError(Error, ValueError):
+    """
+    Error raised when an invalid line is encountered.
+
+    This happens when the line does not contain valid JSON, or if a
+    specific data type has been requested, and the line contained a
+    different data type.
+
+    The original line itself is stored on the exception instance as the
+    ``.line`` attribute, and the line number as ``.lineno``.
+
+    This class subclasses both ``jsonlines.Error`` and the built-in
+    ``ValueError``.
+    """
+
+    #: The invalid line
+    line: Union[str, bytes]
+
+    #: The line number
+    lineno: int
+
+    def __init__(self, message: str, line: Union[str, bytes], lineno: int) -> None:
+        self.line = line.rstrip()
+        self.lineno = lineno
+        super().__init__(f"{message} (line {lineno})")
+
+
+@attr.s(auto_attribs=True, repr=False)
+class ReaderWriterBase:
+    """
+    Base class with shared behaviour for both the reader and writer.
+    """
+
+    _fp: Union[typing.IO[str], typing.IO[bytes], None] = attr.ib(
+        default=None, init=False
+    )
+    _closed: bool = attr.ib(default=False, init=False)
+    _should_close_fp: bool = attr.ib(default=False, init=False)
+
+    def close(self) -> None:
+        """
+        Close this reader/writer.
+
+        This closes the underlying file if that file has been opened by
+        this reader/writer. When an already opened file-like object was
+        provided, the caller is responsible for closing it.
+        """
+        if self._closed:
+            return
+        self._closed = True
+        if self._fp is not None and self._should_close_fp:
+            self._fp.close()
+
+    def __repr__(self) -> str:
+        cls_name = type(self).__name__
+        wrapped = self._repr_for_wrapped()
+        return f"<jsonlines.{cls_name} at 0x{id(self):x} wrapping {wrapped}>"
+
+    def _repr_for_wrapped(self) -> str:
+        raise NotImplementedError  # pragma: no cover
+
+    def __enter__(self: TRW) -> TRW:
+        return self
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[types.TracebackType],
+    ) -> None:
+        self.close()
+
+
+@attr.s(auto_attribs=True, repr=False)
+class Reader(ReaderWriterBase):
+    """
+    Reader for the jsonlines format.
+
+    The first argument must be an iterable that yields JSON encoded
+    strings. Usually this will be a readable file-like object, such as
+    an open file or an ``io.TextIO`` instance, but it can also be
+    something else as long as it yields strings when iterated over.
+
+    Instances are iterable and can be used as a context manager.
+
+    The `loads` argument can be used to replace the standard json
+    decoder. If specified, it must be a callable that accepts a
+    (unicode) string and returns the decoded object.
+
+    :param file_or_iterable: file-like object or iterable yielding lines as
+        strings
+    :param loads: custom json decoder callable
+    """
+
+    _file_or_iterable: Union[
+        typing.IO[str], typing.IO[bytes], Iterable[Union[str, bytes]]
+    ]
+    _line_iter: Iterator[Tuple[int, Union[bytes, str]]] = attr.ib(init=False)
+    _loads: LoadsCallable = attr.ib(default=default_loads, kw_only=True)
+
+    def __attrs_post_init__(self) -> None:
+        if isinstance(self._file_or_iterable, io.IOBase):
+            self._fp = cast(
+                Union[typing.IO[str], typing.IO[bytes]],
+                self._file_or_iterable,
+            )
+
+        self._line_iter = enumerate(self._file_or_iterable, 1)
+
+    # No type specified, None not allowed
+    @overload
+    def read(
+        self,
+        *,
+        type: Literal[None] = ...,
+        allow_none: Literal[False] = ...,
+        skip_empty: bool = ...,
+    ) -> JSONValue:
+        ...  # pragma: no cover
+
+    # No type specified, None allowed
+    @overload
+    def read(
+        self,
+        *,
+        type: Literal[None] = ...,
+        allow_none: Literal[True],
+        skip_empty: bool = ...,
+    ) -> Optional[JSONValue]:
+        ...  # pragma: no cover
+
+    # Type specified, None not allowed
+    @overload
+    def read(
+        self,
+        *,
+        type: Type[TJSONValue],
+        allow_none: Literal[False] = ...,
+        skip_empty: bool = ...,
+    ) -> TJSONValue:
+        ...  # pragma: no cover
+
+    # Type specified, None allowed
+    @overload
+    def read(
+        self,
+        *,
+        type: Type[TJSONValue],
+        allow_none: Literal[True],
+        skip_empty: bool = ...,
+    ) -> Optional[TJSONValue]:
+        ...  # pragma: no cover
+
+    # Generic definition
+    @overload
+    def read(
+        self,
+        *,
+        type: Optional[Type[Any]] = ...,
+        allow_none: bool = ...,
+        skip_empty: bool = ...,
+    ) -> Optional[JSONValue]:
+        ...  # pragma: no cover
+
+    def read(
+        self,
+        *,
+        type: Optional[Type[Any]] = None,
+        allow_none: bool = False,
+        skip_empty: bool = False,
+    ) -> Optional[JSONValue]:
+        """
+        Read and decode a line.
+
+        The optional `type` argument specifies the expected data type.
+        Supported types are ``dict``, ``list``, ``str``, ``int``,
+        ``float``, and ``bool``. When specified, non-conforming lines
+        result in :py:exc:`InvalidLineError`.
+
+        By default, input lines containing ``null`` (in JSON) are
+        considered invalid, and will cause :py:exc:`InvalidLineError`.
+        The `allow_none` argument can be used to change this behaviour,
+        in which case ``None`` will be returned instead.
+
+        If `skip_empty` is set to ``True``, empty lines and lines
+        containing only whitespace are silently skipped.
+        """
+        if self._closed:
+            raise RuntimeError("reader is closed")
+        if type is not None and type not in VALID_TYPES:
+            raise ValueError("invalid type specified")
+
+        try:
+            lineno, line = next(self._line_iter)
+            while skip_empty and not line.rstrip():
+                lineno, line = next(self._line_iter)
+        except StopIteration:
+            raise EOFError from None
+
+        if isinstance(line, bytes):
+            try:
+                line = line.decode("utf-8")
+            except UnicodeDecodeError as orig_exc:
+                exc = InvalidLineError(
+                    f"line is not valid utf-8: {orig_exc}", line, lineno
+                )
+                raise exc from orig_exc
+
+        if line.startswith(SKIPPABLE_SINGLE_INITIAL_CHARS):
+            line = line[1:]
+
+        try:
+            value: JSONValue = self._loads(line)
+        except ValueError as orig_exc:
+            exc = InvalidLineError(
+                f"line contains invalid json: {orig_exc}", line, lineno
+            )
+            raise exc from orig_exc
+
+        if value is None:
+            if allow_none:
+                return None
+            raise InvalidLineError("line contains null value", line, lineno)
+
+        if type is not None:
+            valid = isinstance(value, type)
+            if type is int and isinstance(value, bool):
+                # isinstance() is not sufficient, since bool is an int subclass
+                valid = False
+            if not valid:
+                raise InvalidLineError(
+                    "line does not match requested type", line, lineno
+                )
+
+        return value
+
+    # No type specified, None not allowed
+    @overload
+    def iter(
+        self,
+        *,
+        type: Literal[None] = ...,
+        allow_none: Literal[False] = ...,
+        skip_empty: bool = ...,
+        skip_invalid: bool = ...,
+    ) -> Iterator[JSONValue]:
+        ...  # pragma: no cover
+
+    # No type specified, None allowed
+    @overload
+    def iter(
+        self,
+        *,
+        type: Literal[None] = ...,
+        allow_none: Literal[True],
+        skip_empty: bool = ...,
+        skip_invalid: bool = ...,
+    ) -> Iterator[JSONValue]:
+        ...  # pragma: no cover
+
+    # Type specified, None not allowed
+    @overload
+    def iter(
+        self,
+        *,
+        type: Type[TJSONValue],
+        allow_none: Literal[False] = ...,
+        skip_empty: bool = ...,
+        skip_invalid: bool = ...,
+    ) -> Iterator[TJSONValue]:
+        ...  # pragma: no cover
+
+    # Type specified, None allowed
+    @overload
+    def iter(
+        self,
+        *,
+        type: Type[TJSONValue],
+        allow_none: Literal[True],
+        skip_empty: bool = ...,
+        skip_invalid: bool = ...,
+    ) -> Iterator[Optional[TJSONValue]]:
+        ...  # pragma: no cover
+
+    # Generic definition
+    @overload
+    def iter(
+        self,
+        *,
+        type: Optional[Type[TJSONValue]] = ...,
+        allow_none: bool = ...,
+        skip_empty: bool = ...,
+        skip_invalid: bool = ...,
+    ) -> Iterator[Optional[TJSONValue]]:
+        ...  # pragma: no cover
+
+    def iter(
+        self,
+        type: Optional[Type[Any]] = None,
+        allow_none: bool = False,
+        skip_empty: bool = False,
+        skip_invalid: bool = False,
+    ) -> Iterator[Optional[JSONValue]]:
+        """
+        Iterate over all lines.
+
+        This is the iterator equivalent to repeatedly calling
+        :py:meth:`~Reader.read()`. If no arguments are specified, this
+        is the same as directly iterating over this :py:class:`Reader`
+        instance.
+
+        When `skip_invalid` is set to ``True``, invalid lines will be
+        silently ignored.
+
+        See :py:meth:`~Reader.read()` for a description of the other
+        arguments.
+        """
+        try:
+            while True:
+                try:
+                    yield self.read(
+                        type=type, allow_none=allow_none, skip_empty=skip_empty
+                    )
+                except InvalidLineError:
+                    if not skip_invalid:
+                        raise
+        except EOFError:
+            pass
+
+    def __iter__(self) -> Iterator[Any]:
+        """
+        See :py:meth:`~Reader.iter()`.
+        """
+        return self.iter()
+
+    def _repr_for_wrapped(self) -> str:
+        if self._fp is not None:
+            return repr_for_fp(self._fp)
+        class_name = type(self._file_or_iterable).__name__
+        return f"<{class_name} at 0x{id(self._file_or_iterable):x}>"
+
+
+@attr.s(auto_attribs=True, repr=False)
+class Writer(ReaderWriterBase):
+    """
+    Writer for the jsonlines format.
+
+    Instances can be used as a context manager.
+
+    The `fp` argument must be a file-like object with a ``.write()``
+    method accepting either text (unicode) or bytes.
+
+    The `compact` argument can be used to to produce smaller output.
+
+    The `sort_keys` argument can be used to sort keys in json objects,
+    and will produce deterministic output.
+
+    For more control, provide a a custom encoder callable using the
+    `dumps` argument. The callable must produce (unicode) string output.
+    If specified, the `compact` and `sort` arguments will be ignored.
+
+    When the `flush` argument is set to ``True``, the writer will call
+    ``fp.flush()`` after each written line.
+
+    :param fp: writable file-like object
+    :param compact: whether to use a compact output format
+    :param sort_keys: whether to sort object keys
+    :param dumps: custom encoder callable
+    :param flush: whether to flush the file-like object after writing each line
+    """
+
+    _fp: Union[typing.IO[str], typing.IO[bytes]] = attr.ib(default=None)
+    _fp_is_binary: bool = attr.ib(default=False, init=False)
+    _compact: bool = attr.ib(default=False, kw_only=True)
+    _sort_keys: bool = attr.ib(default=False, kw_only=True)
+    _flush: bool = attr.ib(default=False, kw_only=True)
+    _dumps: DumpsCallable = attr.ib(default=default_dumps, kw_only=True)
+    _dumps_result_conversion: DumpsResultConversion = attr.ib(
+        default=DumpsResultConversion.LeaveAsIs, init=False
+    )
+
+    def __attrs_post_init__(self) -> None:
+        if isinstance(self._fp, io.TextIOBase):
+            self._fp_is_binary = False
+        elif isinstance(self._fp, io.IOBase):
+            self._fp_is_binary = True
+        else:
+            try:
+                self._fp.write("")  # type: ignore[call-overload]
+            except TypeError:
+                self._fp_is_binary = True
+            else:
+                self._fp_is_binary = False
+
+        if self._dumps is default_dumps:
+            self._dumps = json.JSONEncoder(
+                ensure_ascii=False,
+                separators=(",", ":") if self._compact else (", ", ": "),
+                sort_keys=self._sort_keys,
+            ).encode
+
+        # Detect if str-to-bytes conversion (or vice versa) is needed for the
+        # combination of this file-like object and the used dumps() callable.
+        # This avoids checking this for each .write(). Note that this
+        # deliberately does not support ‘dynamic’ return types that depend on
+        # input and dump options, like simplejson on Python 2 in some cases.
+        sample_dumps_result = self._dumps({})
+        if isinstance(sample_dumps_result, str) and self._fp_is_binary:
+            self._dumps_result_conversion = DumpsResultConversion.EncodeToBytes
+        elif isinstance(sample_dumps_result, bytes) and not self._fp_is_binary:
+            self._dumps_result_conversion = DumpsResultConversion.DecodeToString
+
+    def write(self, obj: Any) -> int:
+        """
+        Encode and write a single object.
+
+        :param obj: the object to encode and write
+        :return: number of characters or bytes written
+        """
+        if self._closed:
+            raise RuntimeError("writer is closed")
+
+        line = self._dumps(obj)
+
+        # This handles either str or bytes, but the type checker does not know
+        # that this code always passes the right type of arguments.
+        if self._dumps_result_conversion == DumpsResultConversion.EncodeToBytes:
+            line = line.encode()  # type: ignore[union-attr]
+        elif self._dumps_result_conversion == DumpsResultConversion.DecodeToString:
+            line = line.decode()  # type: ignore[union-attr]
+
+        fp = self._fp
+        fp.write(line)  # type: ignore[arg-type]
+        fp.write(b"\n" if self._fp_is_binary else "\n")  # type: ignore[call-overload]
+
+        if self._flush:
+            fp.flush()
+
+        return len(line) + 1  # including newline
+
+    def write_all(self, iterable: Iterable[Any]) -> int:
+        """
+        Encode and write multiple objects.
+
+        :param iterable: an iterable of objects
+        :return: number of characters or bytes written
+        """
+        return sum(self.write(obj) for obj in iterable)
+
+    def _repr_for_wrapped(self) -> str:
+        return repr_for_fp(self._fp)
+
+
+@overload
+def open(
+    file: Openable,
+    mode: Literal["r"] = ...,
+    *,
+    loads: Optional[LoadsCallable] = ...,
+) -> Reader:
+    ...  # pragma: no cover
+
+
+@overload
+def open(
+    file: Openable,
+    mode: Literal["w", "a", "x"],
+    *,
+    dumps: Optional[DumpsCallable] = ...,
+    compact: Optional[bool] = ...,
+    sort_keys: Optional[bool] = ...,
+    flush: Optional[bool] = ...,
+) -> Writer:
+    ...  # pragma: no cover
+
+
+@overload
+def open(
+    file: Openable,
+    mode: str = ...,
+    *,
+    loads: Optional[LoadsCallable] = ...,
+    dumps: Optional[DumpsCallable] = ...,
+    compact: Optional[bool] = ...,
+    sort_keys: Optional[bool] = ...,
+    flush: Optional[bool] = ...,
+) -> Union[Reader, Writer]:
+    ...  # pragma: no cover
+
+
+def open(
+    file: Openable,
+    mode: str = "r",
+    *,
+    loads: Optional[LoadsCallable] = None,
+    dumps: Optional[DumpsCallable] = None,
+    compact: Optional[bool] = None,
+    sort_keys: Optional[bool] = None,
+    flush: Optional[bool] = None,
+) -> Union[Reader, Writer]:
+    """
+    Open a jsonlines file for reading or writing.
+
+    This is a convenience function to open a file and wrap it in either a
+    :py:class:`Reader` or :py:class:`Writer` instance, depending on the
+    specified `mode`.
+
+    Additional keyword arguments will be passed on to the reader and writer;
+    see their documentation for available options.
+
+    The resulting reader or writer must be closed after use by the
+    caller, which will also close the opened file.  This can be done by
+    calling ``.close()``, but the easiest way to ensure proper resource
+    finalisation is to use a ``with`` block (context manager), e.g.
+
+    ::
+
+        with jsonlines.open('out.jsonl', mode='w') as writer:
+            writer.write(...)
+
+    :param file: name or ‘path-like object’ of the file to open
+    :param mode: whether to open the file for reading (``r``),
+        writing (``w``), appending (``a``), or exclusive creation (``x``).
+    """
+    if mode not in {"r", "w", "a", "x"}:
+        raise ValueError("'mode' must be either 'r', 'w', 'a', or 'x'")
+
+    cls = Reader if mode == "r" else Writer
+    encoding = "utf-8-sig" if mode == "r" else "utf-8"
+    fp = builtins.open(file, mode=mode + "t", encoding=encoding)
+    kwargs = dict(
+        loads=loads,
+        dumps=dumps,
+        compact=compact,
+        sort_keys=sort_keys,
+        flush=flush,
+    )
+    kwargs = {key: value for key, value in kwargs.items() if value is not None}
+    instance: Union[Reader, Writer] = cls(fp, **kwargs)
+    instance._should_close_fp = True
+    return instance
+
+
+def repr_for_fp(fp: typing.IO[Any]) -> str:
+    """
+    Helper to make a useful repr() for a file-like object.
+    """
+    name = getattr(fp, "name", None)
+    if name is not None:
+        return repr(name)
+    else:
+        return repr(fp)

env-llmeval/lib/python3.10/site-packages/lm_eval-0.4.2.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.43.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

env-llmeval/lib/python3.10/site-packages/portalocker/__about__.py

@@ -0,0 +1,6 @@
+__package_name__ = 'portalocker'
+__author__ = 'Rick van Hattem'
+__email__ = '[email protected]'
+__version__ = '2.8.2'
+__description__ = '''Wraps the portalocker recipe for easy usage'''
+__url__ = 'https://github.com/WoLpH/portalocker'

env-llmeval/lib/python3.10/site-packages/portalocker/__init__.py

@@ -0,0 +1,76 @@
+from . import __about__, constants, exceptions, portalocker, utils
+
+try:  # pragma: no cover
+    from .redis import RedisLock
+except ImportError:  # pragma: no cover
+    RedisLock = None  # type: ignore
+
+
+#: The package name on Pypi
+__package_name__ = __about__.__package_name__
+#: Current author and maintainer, view the git history for the previous ones
+__author__ = __about__.__author__
+#: Current author's email address
+__email__ = __about__.__email__
+#: Version number
+__version__ = '2.8.2'
+#: Package description for Pypi
+__description__ = __about__.__description__
+#: Package homepage
+__url__ = __about__.__url__
+
+
+#: Exception thrown when the file is already locked by someone else
+AlreadyLocked = exceptions.AlreadyLocked
+#: Exception thrown if an error occurred during locking
+LockException = exceptions.LockException
+
+
+#: Lock a file. Note that this is an advisory lock on Linux/Unix systems
+lock = portalocker.lock
+#: Unlock a file
+unlock = portalocker.unlock
+
+#: Place an exclusive lock.
+#: Only one process may hold an exclusive lock for a given file at a given
+#: time.
+LOCK_EX: constants.LockFlags = constants.LockFlags.EXCLUSIVE
+
+#: Place a shared lock.
+#: More than one process may hold a shared lock for a given file at a given
+#: time.
+LOCK_SH: constants.LockFlags = constants.LockFlags.SHARED
+
+#: Acquire the lock in a non-blocking fashion.
+LOCK_NB: constants.LockFlags = constants.LockFlags.NON_BLOCKING
+
+#: Remove an existing lock held by this process.
+LOCK_UN: constants.LockFlags = constants.LockFlags.UNBLOCK
+
+#: Locking flags enum
+LockFlags = constants.LockFlags
+
+#: Locking utility class to automatically handle opening with timeouts and
+#: context wrappers
+Lock = utils.Lock
+RLock = utils.RLock
+BoundedSemaphore = utils.BoundedSemaphore
+TemporaryFileLock = utils.TemporaryFileLock
+open_atomic = utils.open_atomic
+
+__all__ = [
+    'lock',
+    'unlock',
+    'LOCK_EX',
+    'LOCK_SH',
+    'LOCK_NB',
+    'LOCK_UN',
+    'LockFlags',
+    'LockException',
+    'Lock',
+    'RLock',
+    'AlreadyLocked',
+    'BoundedSemaphore',
+    'open_atomic',
+    'RedisLock',
+]

env-llmeval/lib/python3.10/site-packages/portalocker/__main__.py

@@ -0,0 +1,98 @@
+import argparse
+import logging
+import os
+import pathlib
+import re
+
+base_path = pathlib.Path(__file__).parent.parent
+src_path = base_path / 'portalocker'
+dist_path = base_path / 'dist'
+_default_output_path = base_path / 'dist' / 'portalocker.py'
+
+_RELATIVE_IMPORT_RE = re.compile(r'^from \. import (?P<names>.+)$')
+_USELESS_ASSIGNMENT_RE = re.compile(r'^(?P<name>\w+) = \1\n$')
+
+_TEXT_TEMPLATE = """'''
+{}
+'''
+
+"""
+
+logger = logging.getLogger(__name__)
+
+
+def main(argv=None):
+    parser = argparse.ArgumentParser()
+
+    subparsers = parser.add_subparsers(required=True)
+    combine_parser = subparsers.add_parser(
+        'combine',
+        help='Combine all Python files into a single unified `portalocker.py` '
+        'file for easy distribution',
+    )
+    combine_parser.add_argument(
+        '--output-file',
+        '-o',
+        type=argparse.FileType('w'),
+        default=str(_default_output_path),
+    )
+
+    combine_parser.set_defaults(func=combine)
+    args = parser.parse_args(argv)
+    args.func(args)
+
+
+def _read_file(path, seen_files):
+    if path in seen_files:
+        return
+
+    names = set()
+    seen_files.add(path)
+    for line in path.open():
+        if match := _RELATIVE_IMPORT_RE.match(line):
+            for name in match.group('names').split(','):
+                name = name.strip()
+                names.add(name)
+                yield from _read_file(src_path / f'{name}.py', seen_files)
+        else:
+            yield _clean_line(line, names)
+
+
+def _clean_line(line, names):
+    # Replace `some_import.spam` with `spam`
+    if names:
+        joined_names = '|'.join(names)
+        line = re.sub(fr'\b({joined_names})\.', '', line)
+
+    # Replace useless assignments (e.g. `spam = spam`)
+    return _USELESS_ASSIGNMENT_RE.sub('', line)
+
+
+def combine(args):
+    output_file = args.output_file
+    pathlib.Path(output_file.name).parent.mkdir(parents=True, exist_ok=True)
+
+    output_file.write(
+        _TEXT_TEMPLATE.format((base_path / 'README.rst').read_text()),
+    )
+    output_file.write(
+        _TEXT_TEMPLATE.format((base_path / 'LICENSE').read_text()),
+    )
+
+    seen_files = set()
+    for line in _read_file(src_path / '__init__.py', seen_files):
+        output_file.write(line)
+
+    output_file.flush()
+    output_file.close()
+
+    logger.info(f'Wrote combined file to {output_file.name}')
+    # Run black and ruff if available. If not then just run the file.
+    os.system(f'black {output_file.name}')
+    os.system(f'ruff --fix {output_file.name}')
+    os.system(f'python3 {output_file.name}')
+
+
+if __name__ == '__main__':
+    logging.basicConfig(level=logging.INFO)
+    main()

env-llmeval/lib/python3.10/site-packages/portalocker/constants.py

@@ -0,0 +1,58 @@
+'''
+Locking constants
+
+Lock types:
+
+- `EXCLUSIVE` exclusive lock
+- `SHARED` shared lock
+
+Lock flags:
+
+- `NON_BLOCKING` non-blocking
+
+Manually unlock, only needed internally
+
+- `UNBLOCK` unlock
+'''
+import enum
+import os
+
+# The actual tests will execute the code anyhow so the following code can
+# safely be ignored from the coverage tests
+if os.name == 'nt':  # pragma: no cover
+    import msvcrt
+
+    #: exclusive lock
+    LOCK_EX = 0x1
+    #: shared lock
+    LOCK_SH = 0x2
+    #: non-blocking
+    LOCK_NB = 0x4
+    #: unlock
+    LOCK_UN = msvcrt.LK_UNLCK  # type: ignore
+
+elif os.name == 'posix':  # pragma: no cover
+    import fcntl
+
+    #: exclusive lock
+    LOCK_EX = fcntl.LOCK_EX
+    #: shared lock
+    LOCK_SH = fcntl.LOCK_SH
+    #: non-blocking
+    LOCK_NB = fcntl.LOCK_NB
+    #: unlock
+    LOCK_UN = fcntl.LOCK_UN
+
+else:  # pragma: no cover
+    raise RuntimeError('PortaLocker only defined for nt and posix platforms')
+
+
+class LockFlags(enum.IntFlag):
+    #: exclusive lock
+    EXCLUSIVE = LOCK_EX
+    #: shared lock
+    SHARED = LOCK_SH
+    #: non-blocking
+    NON_BLOCKING = LOCK_NB
+    #: unlock
+    UNBLOCK = LOCK_UN

env-llmeval/lib/python3.10/site-packages/portalocker/exceptions.py

@@ -0,0 +1,27 @@
+import typing
+
+
+class BaseLockException(Exception):  # noqa: N818
+    # Error codes:
+    LOCK_FAILED = 1
+
+    def __init__(
+        self,
+        *args: typing.Any,
+        fh: typing.Union[typing.IO, None, int] = None,
+        **kwargs: typing.Any,
+    ) -> None:
+        self.fh = fh
+        Exception.__init__(self, *args)
+
+
+class LockException(BaseLockException):
+    pass
+
+
+class AlreadyLocked(LockException):
+    pass
+
+
+class FileToLarge(LockException):
+    pass

env-llmeval/lib/python3.10/site-packages/portalocker/portalocker.py

@@ -0,0 +1,117 @@
+import contextlib
+import os
+import typing
+
+from . import constants, exceptions
+
+# Alias for readability. Due to import recursion issues we cannot do:
+# from .constants import LockFlags
+LockFlags = constants.LockFlags
+
+
+if os.name == 'nt':  # pragma: no cover
+    import msvcrt
+
+    import pywintypes
+    import win32con
+    import win32file
+    import winerror
+
+    __overlapped = pywintypes.OVERLAPPED()
+
+    def lock(file_: typing.Union[typing.IO, int], flags: LockFlags):
+        # Windows locking does not support locking through `fh.fileno()` so
+        # we cast it to make mypy and pyright happy
+        file_ = typing.cast(typing.IO, file_)
+
+        mode = 0
+        if flags & LockFlags.NON_BLOCKING:
+            mode |= win32con.LOCKFILE_FAIL_IMMEDIATELY
+
+        if flags & LockFlags.EXCLUSIVE:
+            mode |= win32con.LOCKFILE_EXCLUSIVE_LOCK
+
+        # Save the old position so we can go back to that position but
+        # still lock from the beginning of the file
+        savepos = file_.tell()
+        if savepos:
+            file_.seek(0)
+
+        os_fh = msvcrt.get_osfhandle(file_.fileno())  # type: ignore
+        try:
+            win32file.LockFileEx(os_fh, mode, 0, -0x10000, __overlapped)
+        except pywintypes.error as exc_value:
+            # error: (33, 'LockFileEx', 'The process cannot access the file
+            # because another process has locked a portion of the file.')
+            if exc_value.winerror == winerror.ERROR_LOCK_VIOLATION:
+                raise exceptions.AlreadyLocked(
+                    exceptions.LockException.LOCK_FAILED,
+                    exc_value.strerror,
+                    fh=file_,
+                ) from exc_value
+            else:
+                # Q:  Are there exceptions/codes we should be dealing with
+                # here?
+                raise
+        finally:
+            if savepos:
+                file_.seek(savepos)
+
+    def unlock(file_: typing.IO):
+        try:
+            savepos = file_.tell()
+            if savepos:
+                file_.seek(0)
+
+            os_fh = msvcrt.get_osfhandle(file_.fileno())  # type: ignore
+            try:
+                win32file.UnlockFileEx(
+                    os_fh,
+                    0,
+                    -0x10000,
+                    __overlapped,
+                )
+            except pywintypes.error as exc:
+                if exc.winerror != winerror.ERROR_NOT_LOCKED:
+                    # Q:  Are there exceptions/codes we should be
+                    # dealing with here?
+                    raise
+            finally:
+                if savepos:
+                    file_.seek(savepos)
+        except OSError as exc:
+            raise exceptions.LockException(
+                exceptions.LockException.LOCK_FAILED,
+                exc.strerror,
+                fh=file_,
+            ) from exc
+
+elif os.name == 'posix':  # pragma: no cover
+    import fcntl
+
+    def lock(file_: typing.Union[typing.IO, int], flags: LockFlags):
+        locking_exceptions = (IOError,)
+        with contextlib.suppress(NameError):
+            locking_exceptions += (BlockingIOError,)  # type: ignore
+        # Locking with NON_BLOCKING without EXCLUSIVE or SHARED enabled results
+        # in an error
+        if (flags & LockFlags.NON_BLOCKING) and not flags & (
+            LockFlags.SHARED | LockFlags.EXCLUSIVE
+        ):
+            raise RuntimeError(
+                'When locking in non-blocking mode the SHARED '
+                'or EXCLUSIVE flag must be specified as well',
+            )
+
+        try:
+            fcntl.flock(file_, flags)
+        except locking_exceptions as exc_value:
+            # The exception code varies on different systems so we'll catch
+            # every IO error
+            raise exceptions.LockException(exc_value, fh=file_) from exc_value
+
+    def unlock(file_: typing.IO):
+        fcntl.flock(file_.fileno(), LockFlags.UNBLOCK)
+
+else:  # pragma: no cover
+    raise RuntimeError('PortaLocker only defined for nt and posix platforms')

env-llmeval/lib/python3.10/site-packages/portalocker/redis.py

@@ -0,0 +1,236 @@
+import _thread
+import json
+import logging
+import random
+import time
+import typing
+
+from redis import client
+
+from . import exceptions, utils
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_UNAVAILABLE_TIMEOUT = 1
+DEFAULT_THREAD_SLEEP_TIME = 0.1
+
+
+class PubSubWorkerThread(client.PubSubWorkerThread):  # type: ignore
+    def run(self):
+        try:
+            super().run()
+        except Exception:  # pragma: no cover
+            _thread.interrupt_main()
+            raise
+
+
+class RedisLock(utils.LockBase):
+    '''
+    An extremely reliable Redis lock based on pubsub with a keep-alive thread
+
+    As opposed to most Redis locking systems based on key/value pairs,
+    this locking method is based on the pubsub system. The big advantage is
+    that if the connection gets killed due to network issues, crashing
+    processes or otherwise, it will still immediately unlock instead of
+    waiting for a lock timeout.
+
+    To make sure both sides of the lock know about the connection state it is
+    recommended to set the `health_check_interval` when creating the redis
+    connection..
+
+    Args:
+        channel: the redis channel to use as locking key.
+        connection: an optional redis connection if you already have one
+        or if you need to specify the redis connection
+        timeout: timeout when trying to acquire a lock
+        check_interval: check interval while waiting
+        fail_when_locked: after the initial lock failed, return an error
+            or lock the file. This does not wait for the timeout.
+        thread_sleep_time: sleep time between fetching messages from redis to
+            prevent a busy/wait loop. In the case of lock conflicts this
+            increases the time it takes to resolve the conflict. This should
+            be smaller than the `check_interval` to be useful.
+        unavailable_timeout: If the conflicting lock is properly connected
+            this should never exceed twice your redis latency. Note that this
+            will increase the wait time possibly beyond your `timeout` and is
+            always executed if a conflict arises.
+        redis_kwargs: The redis connection arguments if no connection is
+            given. The `DEFAULT_REDIS_KWARGS` are used as default, if you want
+            to override these you need to explicitly specify a value (e.g.
+            `health_check_interval=0`)
+
+    '''
+
+    redis_kwargs: typing.Dict[str, typing.Any]
+    thread: typing.Optional[PubSubWorkerThread]
+    channel: str
+    timeout: float
+    connection: typing.Optional[client.Redis]
+    pubsub: typing.Optional[client.PubSub] = None
+    close_connection: bool
+
+    DEFAULT_REDIS_KWARGS: typing.ClassVar[typing.Dict[str, typing.Any]] = dict(
+        health_check_interval=10,
+    )
+
+    def __init__(
+        self,
+        channel: str,
+        connection: typing.Optional[client.Redis] = None,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = False,
+        thread_sleep_time: float = DEFAULT_THREAD_SLEEP_TIME,
+        unavailable_timeout: float = DEFAULT_UNAVAILABLE_TIMEOUT,
+        redis_kwargs: typing.Optional[typing.Dict] = None,
+    ):
+        # We don't want to close connections given as an argument
+        self.close_connection = not connection
+
+        self.thread = None
+        self.channel = channel
+        self.connection = connection
+        self.thread_sleep_time = thread_sleep_time
+        self.unavailable_timeout = unavailable_timeout
+        self.redis_kwargs = redis_kwargs or dict()
+
+        for key, value in self.DEFAULT_REDIS_KWARGS.items():
+            self.redis_kwargs.setdefault(key, value)
+
+        super().__init__(
+            timeout=timeout,
+            check_interval=check_interval,
+            fail_when_locked=fail_when_locked,
+        )
+
+    def get_connection(self) -> client.Redis:
+        if not self.connection:
+            self.connection = client.Redis(**self.redis_kwargs)
+
+        return self.connection
+
+    def channel_handler(self, message):
+        if message.get('type') != 'message':  # pragma: no cover
+            return
+
+        try:
+            data = json.loads(message.get('data'))
+        except TypeError:  # pragma: no cover
+            logger.debug('TypeError while parsing: %r', message)
+            return
+
+        assert self.connection is not None
+        self.connection.publish(data['response_channel'], str(time.time()))
+
+    @property
+    def client_name(self):
+        return f'{self.channel}-lock'
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ):
+        timeout = utils.coalesce(timeout, self.timeout, 0.0)
+        check_interval = utils.coalesce(
+            check_interval,
+            self.check_interval,
+            0.0,
+        )
+        fail_when_locked = utils.coalesce(
+            fail_when_locked,
+            self.fail_when_locked,
+        )
+
+        assert not self.pubsub, 'This lock is already active'
+        connection = self.get_connection()
+
+        timeout_generator = self._timeout_generator(timeout, check_interval)
+        for _ in timeout_generator:  # pragma: no branch
+            subscribers = connection.pubsub_numsub(self.channel)[0][1]
+
+            if subscribers:
+                logger.debug(
+                    'Found %d lock subscribers for %s',
+                    subscribers,
+                    self.channel,
+                )
+
+                if self.check_or_kill_lock(
+                    connection,
+                    self.unavailable_timeout,
+                ):  # pragma: no branch
+                    continue
+                else:  # pragma: no cover
+                    subscribers = 0
+
+            # Note: this should not be changed to an elif because the if
+            # above can still end up here
+            if not subscribers:
+                connection.client_setname(self.client_name)
+                self.pubsub = connection.pubsub()
+                self.pubsub.subscribe(**{self.channel: self.channel_handler})
+                self.thread = PubSubWorkerThread(
+                    self.pubsub,
+                    sleep_time=self.thread_sleep_time,
+                )
+                self.thread.start()
+
+                subscribers = connection.pubsub_numsub(self.channel)[0][1]
+                if subscribers == 1:  # pragma: no branch
+                    return self
+                else:  # pragma: no cover
+                    # Race condition, let's try again
+                    self.release()
+
+            if fail_when_locked:  # pragma: no cover
+                raise exceptions.AlreadyLocked(exceptions)
+
+        raise exceptions.AlreadyLocked(exceptions)
+
+    def check_or_kill_lock(self, connection, timeout):
+        # Random channel name to get messages back from the lock
+        response_channel = f'{self.channel}-{random.random()}'
+
+        pubsub = connection.pubsub()
+        pubsub.subscribe(response_channel)
+        connection.publish(
+            self.channel,
+            json.dumps(
+                dict(
+                    response_channel=response_channel,
+                    message='ping',
+                ),
+            ),
+        )
+
+        check_interval = min(self.thread_sleep_time, timeout / 10)
+        for _ in self._timeout_generator(
+            timeout,
+            check_interval,
+        ):  # pragma: no branch
+            if pubsub.get_message(timeout=check_interval):
+                pubsub.close()
+                return True
+
+        for client_ in connection.client_list('pubsub'):  # pragma: no cover
+            if client_.get('name') == self.client_name:
+                logger.warning('Killing unavailable redis client: %r', client_)
+                connection.client_kill_filter(client_.get('id'))
+        return None
+
+    def release(self):
+        if self.thread:  # pragma: no branch
+            self.thread.stop()
+            self.thread.join()
+            self.thread = None
+            time.sleep(0.01)
+
+        if self.pubsub:  # pragma: no branch
+            self.pubsub.unsubscribe(self.channel)
+            self.pubsub.close()
+            self.pubsub = None
+
+    def __del__(self):
+        self.release()

env-llmeval/lib/python3.10/site-packages/portalocker/utils.py

@@ -0,0 +1,563 @@
+import abc
+import atexit
+import contextlib
+import logging
+import os
+import pathlib
+import random
+import tempfile
+import time
+import typing
+import warnings
+
+from . import constants, exceptions, portalocker
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_TIMEOUT = 5
+DEFAULT_CHECK_INTERVAL = 0.25
+DEFAULT_FAIL_WHEN_LOCKED = False
+LOCK_METHOD = constants.LockFlags.EXCLUSIVE | constants.LockFlags.NON_BLOCKING
+
+__all__ = [
+    'Lock',
+    'open_atomic',
+]
+
+Filename = typing.Union[str, pathlib.Path]
+
+
+def coalesce(*args: typing.Any, test_value: typing.Any = None) -> typing.Any:
+    '''Simple coalescing function that returns the first value that is not
+    equal to the `test_value`. Or `None` if no value is valid. Usually this
+    means that the last given value is the default value.
+
+    Note that the `test_value` is compared using an identity check
+    (i.e. `value is not test_value`) so changing the `test_value` won't work
+    for all values.
+
+    >>> coalesce(None, 1)
+    1
+    >>> coalesce()
+
+    >>> coalesce(0, False, True)
+    0
+    >>> coalesce(0, False, True, test_value=0)
+    False
+
+    # This won't work because of the `is not test_value` type testing:
+    >>> coalesce([], dict(spam='eggs'), test_value=[])
+    []
+    '''
+    return next((arg for arg in args if arg is not test_value), None)
+
+
+@contextlib.contextmanager
+def open_atomic(
+    filename: Filename,
+    binary: bool = True,
+) -> typing.Iterator[typing.IO]:
+    '''Open a file for atomic writing. Instead of locking this method allows
+    you to write the entire file and move it to the actual location. Note that
+    this makes the assumption that a rename is atomic on your platform which
+    is generally the case but not a guarantee.
+
+    http://docs.python.org/library/os.html#os.rename
+
+    >>> filename = 'test_file.txt'
+    >>> if os.path.exists(filename):
+    ...     os.remove(filename)
+
+    >>> with open_atomic(filename) as fh:
+    ...     written = fh.write(b'test')
+    >>> assert os.path.exists(filename)
+    >>> os.remove(filename)
+
+    >>> import pathlib
+    >>> path_filename = pathlib.Path('test_file.txt')
+
+    >>> with open_atomic(path_filename) as fh:
+    ...     written = fh.write(b'test')
+    >>> assert path_filename.exists()
+    >>> path_filename.unlink()
+    '''
+    # `pathlib.Path` cast in case `path` is a `str`
+    path: pathlib.Path = pathlib.Path(filename)
+
+    assert not path.exists(), '%r exists' % path
+
+    # Create the parent directory if it doesn't exist
+    path.parent.mkdir(parents=True, exist_ok=True)
+
+    temp_fh = tempfile.NamedTemporaryFile(
+        mode=binary and 'wb' or 'w',
+        dir=str(path.parent),
+        delete=False,
+    )
+    yield temp_fh
+    temp_fh.flush()
+    os.fsync(temp_fh.fileno())
+    temp_fh.close()
+    try:
+        os.rename(temp_fh.name, path)
+    finally:
+        with contextlib.suppress(Exception):
+            os.remove(temp_fh.name)
+
+
+class LockBase(abc.ABC):  # pragma: no cover
+    #: timeout when trying to acquire a lock
+    timeout: float
+    #: check interval while waiting for `timeout`
+    check_interval: float
+    #: skip the timeout and immediately fail if the initial lock fails
+    fail_when_locked: bool
+
+    def __init__(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ):
+        self.timeout = coalesce(timeout, DEFAULT_TIMEOUT)
+        self.check_interval = coalesce(check_interval, DEFAULT_CHECK_INTERVAL)
+        self.fail_when_locked = coalesce(
+            fail_when_locked,
+            DEFAULT_FAIL_WHEN_LOCKED,
+        )
+
+    @abc.abstractmethod
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ):
+        return NotImplemented
+
+    def _timeout_generator(
+        self,
+        timeout: typing.Optional[float],
+        check_interval: typing.Optional[float],
+    ) -> typing.Iterator[int]:
+        f_timeout = coalesce(timeout, self.timeout, 0.0)
+        f_check_interval = coalesce(check_interval, self.check_interval, 0.0)
+
+        yield 0
+        i = 0
+
+        start_time = time.perf_counter()
+        while start_time + f_timeout > time.perf_counter():
+            i += 1
+            yield i
+
+            # Take low lock checks into account to stay within the interval
+            since_start_time = time.perf_counter() - start_time
+            time.sleep(max(0.001, (i * f_check_interval) - since_start_time))
+
+    @abc.abstractmethod
+    def release(self):
+        return NotImplemented
+
+    def __enter__(self):
+        return self.acquire()
+
+    def __exit__(
+        self,
+        exc_type: typing.Optional[typing.Type[BaseException]],
+        exc_value: typing.Optional[BaseException],
+        traceback: typing.Any,  # Should be typing.TracebackType
+    ) -> typing.Optional[bool]:
+        self.release()
+        return None
+
+    def __delete__(self, instance):
+        instance.release()
+
+
+class Lock(LockBase):
+    '''Lock manager with built-in timeout
+
+    Args:
+        filename: filename
+        mode: the open mode, 'a' or 'ab' should be used for writing. When mode
+            contains `w` the file will be truncated to 0 bytes.
+        timeout: timeout when trying to acquire a lock
+        check_interval: check interval while waiting
+        fail_when_locked: after the initial lock failed, return an error
+            or lock the file. This does not wait for the timeout.
+        **file_open_kwargs: The kwargs for the `open(...)` call
+
+    fail_when_locked is useful when multiple threads/processes can race
+    when creating a file. If set to true than the system will wait till
+    the lock was acquired and then return an AlreadyLocked exception.
+
+    Note that the file is opened first and locked later. So using 'w' as
+    mode will result in truncate _BEFORE_ the lock is checked.
+    '''
+
+    def __init__(
+        self,
+        filename: Filename,
+        mode: str = 'a',
+        timeout: typing.Optional[float] = None,
+        check_interval: float = DEFAULT_CHECK_INTERVAL,
+        fail_when_locked: bool = DEFAULT_FAIL_WHEN_LOCKED,
+        flags: constants.LockFlags = LOCK_METHOD,
+        **file_open_kwargs,
+    ):
+        if 'w' in mode:
+            truncate = True
+            mode = mode.replace('w', 'a')
+        else:
+            truncate = False
+
+        if timeout is None:
+            timeout = DEFAULT_TIMEOUT
+        elif not (flags & constants.LockFlags.NON_BLOCKING):
+            warnings.warn(
+                'timeout has no effect in blocking mode',
+                stacklevel=1,
+            )
+
+        self.fh: typing.Optional[typing.IO] = None
+        self.filename: str = str(filename)
+        self.mode: str = mode
+        self.truncate: bool = truncate
+        self.timeout: float = timeout
+        self.check_interval: float = check_interval
+        self.fail_when_locked: bool = fail_when_locked
+        self.flags: constants.LockFlags = flags
+        self.file_open_kwargs = file_open_kwargs
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ) -> typing.IO:
+        '''Acquire the locked filehandle'''
+
+        fail_when_locked = coalesce(fail_when_locked, self.fail_when_locked)
+
+        if (
+            not (self.flags & constants.LockFlags.NON_BLOCKING)
+            and timeout is not None
+        ):
+            warnings.warn(
+                'timeout has no effect in blocking mode',
+                stacklevel=1,
+            )
+
+        # If we already have a filehandle, return it
+        fh: typing.Optional[typing.IO] = self.fh
+        if fh:
+            return fh
+
+        # Get a new filehandler
+        fh = self._get_fh()
+
+        def try_close():  # pragma: no cover
+            # Silently try to close the handle if possible, ignore all issues
+            if fh is not None:
+                with contextlib.suppress(Exception):
+                    fh.close()
+
+        exception = None
+        # Try till the timeout has passed
+        for _ in self._timeout_generator(timeout, check_interval):
+            exception = None
+            try:
+                # Try to lock
+                fh = self._get_lock(fh)
+                break
+            except exceptions.LockException as exc:
+                # Python will automatically remove the variable from memory
+                # unless you save it in a different location
+                exception = exc
+
+                # We already tried to the get the lock
+                # If fail_when_locked is True, stop trying
+                if fail_when_locked:
+                    try_close()
+                    raise exceptions.AlreadyLocked(exception) from exc
+
+                # Wait a bit
+
+        if exception:
+            try_close()
+            # We got a timeout... reraising
+            raise exceptions.LockException(exception)
+
+        # Prepare the filehandle (truncate if needed)
+        fh = self._prepare_fh(fh)
+
+        self.fh = fh
+        return fh
+
+    def release(self):
+        '''Releases the currently locked file handle'''
+        if self.fh:
+            portalocker.unlock(self.fh)
+            self.fh.close()
+            self.fh = None
+
+    def _get_fh(self) -> typing.IO:
+        '''Get a new filehandle'''
+        return open(  # noqa: SIM115
+            self.filename,
+            self.mode,
+            **self.file_open_kwargs,
+        )
+
+    def _get_lock(self, fh: typing.IO) -> typing.IO:
+        '''
+        Try to lock the given filehandle
+
+        returns LockException if it fails'''
+        portalocker.lock(fh, self.flags)
+        return fh
+
+    def _prepare_fh(self, fh: typing.IO) -> typing.IO:
+        '''
+        Prepare the filehandle for usage
+
+        If truncate is a number, the file will be truncated to that amount of
+        bytes
+        '''
+        if self.truncate:
+            fh.seek(0)
+            fh.truncate(0)
+
+        return fh
+
+
+class RLock(Lock):
+    '''
+    A reentrant lock, functions in a similar way to threading.RLock in that it
+    can be acquired multiple times.  When the corresponding number of release()
+    calls are made the lock will finally release the underlying file lock.
+    '''
+
+    def __init__(
+        self,
+        filename,
+        mode='a',
+        timeout=DEFAULT_TIMEOUT,
+        check_interval=DEFAULT_CHECK_INTERVAL,
+        fail_when_locked=False,
+        flags=LOCK_METHOD,
+    ):
+        super().__init__(
+            filename,
+            mode,
+            timeout,
+            check_interval,
+            fail_when_locked,
+            flags,
+        )
+        self._acquire_count = 0
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ) -> typing.IO:
+        if self._acquire_count >= 1:
+            fh = self.fh
+        else:
+            fh = super().acquire(timeout, check_interval, fail_when_locked)
+        self._acquire_count += 1
+        assert fh
+        return fh
+
+    def release(self):
+        if self._acquire_count == 0:
+            raise exceptions.LockException(
+                'Cannot release more times than acquired',
+            )
+
+        if self._acquire_count == 1:
+            super().release()
+        self._acquire_count -= 1
+
+
+class TemporaryFileLock(Lock):
+    def __init__(
+        self,
+        filename='.lock',
+        timeout=DEFAULT_TIMEOUT,
+        check_interval=DEFAULT_CHECK_INTERVAL,
+        fail_when_locked=True,
+        flags=LOCK_METHOD,
+    ):
+        Lock.__init__(
+            self,
+            filename=filename,
+            mode='w',
+            timeout=timeout,
+            check_interval=check_interval,
+            fail_when_locked=fail_when_locked,
+            flags=flags,
+        )
+        atexit.register(self.release)
+
+    def release(self):
+        Lock.release(self)
+        if os.path.isfile(self.filename):  # pragma: no branch
+            os.unlink(self.filename)
+
+
+class BoundedSemaphore(LockBase):
+    '''
+    Bounded semaphore to prevent too many parallel processes from running
+
+    This method is deprecated because multiple processes that are completely
+    unrelated could end up using the same semaphore.  To prevent this,
+    use `NamedBoundedSemaphore` instead. The
+    `NamedBoundedSemaphore` is a drop-in replacement for this class.
+
+    >>> semaphore = BoundedSemaphore(2, directory='')
+    >>> str(semaphore.get_filenames()[0])
+    'bounded_semaphore.00.lock'
+    >>> str(sorted(semaphore.get_random_filenames())[1])
+    'bounded_semaphore.01.lock'
+    '''
+
+    lock: typing.Optional[Lock]
+
+    def __init__(
+        self,
+        maximum: int,
+        name: str = 'bounded_semaphore',
+        filename_pattern: str = '{name}.{number:02d}.lock',
+        directory: str = tempfile.gettempdir(),
+        timeout: typing.Optional[float] = DEFAULT_TIMEOUT,
+        check_interval: typing.Optional[float] = DEFAULT_CHECK_INTERVAL,
+        fail_when_locked: typing.Optional[bool] = True,
+    ):
+        self.maximum = maximum
+        self.name = name
+        self.filename_pattern = filename_pattern
+        self.directory = directory
+        self.lock: typing.Optional[Lock] = None
+        super().__init__(
+            timeout=timeout,
+            check_interval=check_interval,
+            fail_when_locked=fail_when_locked,
+        )
+
+        if not name or name == 'bounded_semaphore':
+            warnings.warn(
+                '`BoundedSemaphore` without an explicit `name` '
+                'argument is deprecated, use NamedBoundedSemaphore',
+                DeprecationWarning,
+                stacklevel=1,
+            )
+
+    def get_filenames(self) -> typing.Sequence[pathlib.Path]:
+        return [self.get_filename(n) for n in range(self.maximum)]
+
+    def get_random_filenames(self) -> typing.Sequence[pathlib.Path]:
+        filenames = list(self.get_filenames())
+        random.shuffle(filenames)
+        return filenames
+
+    def get_filename(self, number) -> pathlib.Path:
+        return pathlib.Path(self.directory) / self.filename_pattern.format(
+            name=self.name,
+            number=number,
+        )
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ) -> typing.Optional[Lock]:
+        assert not self.lock, 'Already locked'
+
+        filenames = self.get_filenames()
+
+        for n in self._timeout_generator(timeout, check_interval):  # pragma:
+            logger.debug('trying lock (attempt %d) %r', n, filenames)
+            # no branch
+            if self.try_lock(filenames):  # pragma: no branch
+                return self.lock  # pragma: no cover
+
+        if fail_when_locked := coalesce(
+            fail_when_locked,
+            self.fail_when_locked,
+        ):
+            raise exceptions.AlreadyLocked()
+
+        return None
+
+    def try_lock(self, filenames: typing.Sequence[Filename]) -> bool:
+        filename: Filename
+        for filename in filenames:
+            logger.debug('trying lock for %r', filename)
+            self.lock = Lock(filename, fail_when_locked=True)
+            try:
+                self.lock.acquire()
+            except exceptions.AlreadyLocked:
+                self.lock = None
+            else:
+                logger.debug('locked %r', filename)
+                return True
+
+        return False
+
+    def release(self):  # pragma: no cover
+        if self.lock is not None:
+            self.lock.release()
+            self.lock = None
+
+
+class NamedBoundedSemaphore(BoundedSemaphore):
+    '''
+    Bounded semaphore to prevent too many parallel processes from running
+
+    It's also possible to specify a timeout when acquiring the lock to wait
+    for a resource to become available.  This is very similar to
+    `threading.BoundedSemaphore` but works across multiple processes and across
+    multiple operating systems.
+
+    Because this works across multiple processes it's important to give the
+    semaphore a name.  This name is used to create the lock files.  If you
+    don't specify a name, a random name will be generated.  This means that
+    you can't use the same semaphore in multiple processes unless you pass the
+    semaphore object to the other processes.
+
+    >>> semaphore = NamedBoundedSemaphore(2, name='test')
+    >>> str(semaphore.get_filenames()[0])
+    '...test.00.lock'
+
+    >>> semaphore = NamedBoundedSemaphore(2)
+    >>> 'bounded_semaphore' in str(semaphore.get_filenames()[0])
+    True
+
+    '''
+
+    def __init__(
+        self,
+        maximum: int,
+        name: typing.Optional[str] = None,
+        filename_pattern: str = '{name}.{number:02d}.lock',
+        directory: str = tempfile.gettempdir(),
+        timeout: typing.Optional[float] = DEFAULT_TIMEOUT,
+        check_interval: typing.Optional[float] = DEFAULT_CHECK_INTERVAL,
+        fail_when_locked: typing.Optional[bool] = True,
+    ):
+        if name is None:
+            name = 'bounded_semaphore.%d' % random.randint(0, 1000000)
+        super().__init__(
+            maximum,
+            name,
+            filename_pattern,
+            directory,
+            timeout,
+            check_interval,
+            fail_when_locked,
+        )

env-llmeval/lib/python3.10/site-packages/pyarrow/_acero.pyx

@@ -0,0 +1,529 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# ---------------------------------------------------------------------
+# Low-level Acero bindings
+
+# cython: profile=False
+# distutils: language = c++
+# cython: language_level = 3
+
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libarrow cimport *
+from pyarrow.includes.libarrow_acero cimport *
+from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table,
+                          RecordBatchReader)
+from pyarrow.lib import frombytes, tobytes
+from pyarrow._compute cimport (
+    Expression, FunctionOptions, _ensure_field_ref, _true,
+    unwrap_null_placement, unwrap_sort_order
+)
+
+
+cdef class ExecNodeOptions(_Weakrefable):
+    """
+    Base class for the node options.
+
+    Use one of the subclasses to construct an options object.
+    """
+    __slots__ = ()  # avoid mistakingly creating attributes
+
+    cdef void init(self, const shared_ptr[CExecNodeOptions]& sp):
+        self.wrapped = sp
+
+    cdef inline shared_ptr[CExecNodeOptions] unwrap(self) nogil:
+        return self.wrapped
+
+
+cdef class _TableSourceNodeOptions(ExecNodeOptions):
+
+    def _set_options(self, Table table):
+        cdef:
+            shared_ptr[CTable] c_table
+
+        c_table = pyarrow_unwrap_table(table)
+        self.wrapped.reset(
+            new CTableSourceNodeOptions(c_table)
+        )
+
+
+class TableSourceNodeOptions(_TableSourceNodeOptions):
+    """
+    A Source node which accepts a table.
+
+    This is the option class for the "table_source" node factory.
+
+    Parameters
+    ----------
+    table : pyarrow.Table
+        The table which acts as the data source.
+    """
+
+    def __init__(self, Table table):
+        self._set_options(table)
+
+
+cdef class _FilterNodeOptions(ExecNodeOptions):
+
+    def _set_options(self, Expression filter_expression not None):
+        self.wrapped.reset(
+            new CFilterNodeOptions(<CExpression>filter_expression.unwrap())
+        )
+
+
+class FilterNodeOptions(_FilterNodeOptions):
+    """
+    Make a node which excludes some rows from batches passed through it.
+
+    This is the option class for the "filter" node factory.
+
+    The "filter" operation provides an option to define data filtering
+    criteria. It selects rows where the given expression evaluates to true.
+    Filters can be written using pyarrow.compute.Expression, and the
+    expression must have a return type of boolean.
+
+    Parameters
+    ----------
+    filter_expression : pyarrow.compute.Expression
+    """
+
+    def __init__(self, Expression filter_expression):
+        self._set_options(filter_expression)
+
+
+cdef class _ProjectNodeOptions(ExecNodeOptions):
+
+    def _set_options(self, expressions, names=None):
+        cdef:
+            Expression expr
+            vector[CExpression] c_expressions
+            vector[c_string] c_names
+
+        for expr in expressions:
+            c_expressions.push_back(expr.unwrap())
+
+        if names is not None:
+            if len(names) != len(expressions):
+                raise ValueError(
+                    "The number of names should be equal to the number of expressions"
+                )
+
+            for name in names:
+                c_names.push_back(<c_string>tobytes(name))
+
+            self.wrapped.reset(
+                new CProjectNodeOptions(c_expressions, c_names)
+            )
+        else:
+            self.wrapped.reset(
+                new CProjectNodeOptions(c_expressions)
+            )
+
+
+class ProjectNodeOptions(_ProjectNodeOptions):
+    """
+    Make a node which executes expressions on input batches,
+    producing batches of the same length with new columns.
+
+    This is the option class for the "project" node factory.
+
+    The "project" operation rearranges, deletes, transforms, and
+    creates columns. Each output column is computed by evaluating
+    an expression against the source record batch. These must be
+    scalar expressions (expressions consisting of scalar literals,
+    field references and scalar functions, i.e. elementwise functions
+    that return one value for each input row independent of the value
+    of all other rows).
+
+    Parameters
+    ----------
+    expressions : list of pyarrow.compute.Expression
+        List of expressions to evaluate against the source batch. This must
+        be scalar expressions.
+    names : list of str, optional
+        List of names for each of the output columns (same length as
+        `expressions`). If `names` is not provided, the string
+        representations of exprs will be used.
+    """
+
+    def __init__(self, expressions, names=None):
+        self._set_options(expressions, names)
+
+
+cdef class _AggregateNodeOptions(ExecNodeOptions):
+
+    def _set_options(self, aggregates, keys=None):
+        cdef:
+            CAggregate c_aggr
+            vector[CAggregate] c_aggregations
+            vector[CFieldRef] c_keys
+
+        for arg_names, func_name, opts, name in aggregates:
+            c_aggr.function = tobytes(func_name)
+            if opts is not None:
+                c_aggr.options = (<FunctionOptions?>opts).wrapped
+            else:
+                c_aggr.options = <shared_ptr[CFunctionOptions]>nullptr
+            if not isinstance(arg_names, (list, tuple)):
+                arg_names = [arg_names]
+            for arg in arg_names:
+                c_aggr.target.push_back(_ensure_field_ref(arg))
+            c_aggr.name = tobytes(name)
+
+            c_aggregations.push_back(move(c_aggr))
+
+        if keys is None:
+            keys = []
+        for name in keys:
+            c_keys.push_back(_ensure_field_ref(name))
+
+        self.wrapped.reset(
+            new CAggregateNodeOptions(c_aggregations, c_keys)
+        )
+
+
+class AggregateNodeOptions(_AggregateNodeOptions):
+    """
+    Make a node which aggregates input batches, optionally grouped by keys.
+
+    This is the option class for the "aggregate" node factory.
+
+    Acero supports two types of aggregates: "scalar" aggregates,
+    and "hash" aggregates. Scalar aggregates reduce an array or scalar
+    input to a single scalar output (e.g. computing the mean of a column).
+    Hash aggregates act like GROUP BY in SQL and first partition data
+    based on one or more key columns, then reduce the data in each partition.
+    The aggregate node supports both types of computation, and can compute
+    any number of aggregations at once.
+
+    Parameters
+    ----------
+    aggregates : list of tuples
+        Aggregations which will be applied to the targeted fields.
+        Specified as a list of tuples, where each tuple is one aggregation
+        specification and consists of: aggregation target column(s) followed
+        by function name, aggregation function options object and the
+        output field name.
+        The target column(s) specification can be a single field reference,
+        an empty list or a list of fields unary, nullary and n-ary aggregation
+        functions respectively. Each field reference can be a string
+        column name or expression.
+    keys : list of field references, optional
+        Keys by which aggregations will be grouped. Each key can reference
+        a field using a string name or expression.
+    """
+
+    def __init__(self, aggregates, keys=None):
+        self._set_options(aggregates, keys)
+
+
+cdef class _OrderByNodeOptions(ExecNodeOptions):
+
+    def _set_options(self, sort_keys, null_placement):
+        cdef:
+            vector[CSortKey] c_sort_keys
+
+        for name, order in sort_keys:
+            c_sort_keys.push_back(
+                CSortKey(_ensure_field_ref(name), unwrap_sort_order(order))
+            )
+
+        self.wrapped.reset(
+            new COrderByNodeOptions(
+                COrdering(c_sort_keys, unwrap_null_placement(null_placement))
+            )
+        )
+
+
+class OrderByNodeOptions(_OrderByNodeOptions):
+    """
+    Make a node which applies a new ordering to the data.
+
+    Currently this node works by accumulating all data, sorting, and then
+    emitting the new data with an updated batch index.
+    Larger-than-memory sort is not currently supported.
+
+    This is the option class for the "order_by" node factory.
+
+    Parameters
+    ----------
+    sort_keys : sequence of (name, order) tuples
+        Names of field/column keys to sort the input on,
+        along with the order each field/column is sorted in.
+        Accepted values for `order` are "ascending", "descending".
+        Each field reference can be a string column name or expression.
+    null_placement : str, default "at_end"
+        Where nulls in input should be sorted, only applying to
+        columns/fields mentioned in `sort_keys`.
+        Accepted values are "at_start", "at_end".
+    """
+
+    def __init__(self, sort_keys=(), *, null_placement="at_end"):
+        self._set_options(sort_keys, null_placement)
+
+
+cdef class _HashJoinNodeOptions(ExecNodeOptions):
+
+    def _set_options(
+        self, join_type, left_keys, right_keys, left_output=None, right_output=None,
+        output_suffix_for_left="", output_suffix_for_right="",
+    ):
+        cdef:
+            CJoinType c_join_type
+            vector[CFieldRef] c_left_keys
+            vector[CFieldRef] c_right_keys
+            vector[CFieldRef] c_left_output
+            vector[CFieldRef] c_right_output
+
+        # join type
+        if join_type == "left semi":
+            c_join_type = CJoinType_LEFT_SEMI
+        elif join_type == "right semi":
+            c_join_type = CJoinType_RIGHT_SEMI
+        elif join_type == "left anti":
+            c_join_type = CJoinType_LEFT_ANTI
+        elif join_type == "right anti":
+            c_join_type = CJoinType_RIGHT_ANTI
+        elif join_type == "inner":
+            c_join_type = CJoinType_INNER
+        elif join_type == "left outer":
+            c_join_type = CJoinType_LEFT_OUTER
+        elif join_type == "right outer":
+            c_join_type = CJoinType_RIGHT_OUTER
+        elif join_type == "full outer":
+            c_join_type = CJoinType_FULL_OUTER
+        else:
+            raise ValueError("Unsupported join type")
+
+        # left/right keys
+        if not isinstance(left_keys, (list, tuple)):
+            left_keys = [left_keys]
+        for key in left_keys:
+            c_left_keys.push_back(_ensure_field_ref(key))
+        if not isinstance(right_keys, (list, tuple)):
+            right_keys = [right_keys]
+        for key in right_keys:
+            c_right_keys.push_back(_ensure_field_ref(key))
+
+        # left/right output fields
+        if left_output is not None and right_output is not None:
+            for colname in left_output:
+                c_left_output.push_back(_ensure_field_ref(colname))
+            for colname in right_output:
+                c_right_output.push_back(_ensure_field_ref(colname))
+
+            self.wrapped.reset(
+                new CHashJoinNodeOptions(
+                    c_join_type, c_left_keys, c_right_keys,
+                    c_left_output, c_right_output,
+                    _true,
+                    <c_string>tobytes(output_suffix_for_left),
+                    <c_string>tobytes(output_suffix_for_right)
+                )
+            )
+        else:
+            self.wrapped.reset(
+                new CHashJoinNodeOptions(
+                    c_join_type, c_left_keys, c_right_keys,
+                    _true,
+                    <c_string>tobytes(output_suffix_for_left),
+                    <c_string>tobytes(output_suffix_for_right)
+                )
+            )
+
+
+class HashJoinNodeOptions(_HashJoinNodeOptions):
+    """
+    Make a node which implements join operation using hash join strategy.
+
+    This is the option class for the "hashjoin" node factory.
+
+    Parameters
+    ----------
+    join_type : str
+        Type of join. One of "left semi", "right semi", "left anti",
+        "right anti", "inner", "left outer", "right outer", "full outer".
+    left_keys : str, Expression or list
+        Key fields from left input. Each key can be a string column name
+        or a field expression, or a list of such field references.
+    right_keys : str, Expression or list
+        Key fields from right input. See `left_keys` for details.
+    left_output : list, optional
+        List of output fields passed from left input. If left and right
+        output fields are not specified, all valid fields from both left and
+        right input will be output. Each field can be a string column name
+        or a field expression.
+    right_output : list, optional
+        List of output fields passed from right input. If left and right
+        output fields are not specified, all valid fields from both left and
+        right input will be output. Each field can be a string column name
+        or a field expression.
+    output_suffix_for_left : str
+        Suffix added to names of output fields coming from left input
+        (used to distinguish, if necessary, between fields of the same
+        name in left and right input and can be left empty if there are
+        no name collisions).
+    output_suffix_for_right : str
+        Suffix added to names of output fields coming from right input,
+        see `output_suffix_for_left` for details.
+    """
+
+    def __init__(
+        self, join_type, left_keys, right_keys, left_output=None, right_output=None,
+        output_suffix_for_left="", output_suffix_for_right=""
+    ):
+        self._set_options(
+            join_type, left_keys, right_keys, left_output, right_output,
+            output_suffix_for_left, output_suffix_for_right
+        )
+
+
+cdef class Declaration(_Weakrefable):
+    """
+    Helper class for declaring the nodes of an ExecPlan.
+
+    A Declaration represents an unconstructed ExecNode, and potentially
+    more since its inputs may also be Declarations or when constructed
+    with ``from_sequence``.
+
+    The possible ExecNodes to use are registered with a name,
+    the "factory name", and need to be specified using this name, together
+    with its corresponding ExecNodeOptions subclass.
+
+    Parameters
+    ----------
+    factory_name : str
+        The ExecNode factory name, such as "table_source", "filter",
+        "project" etc. See the ExecNodeOptions subclasses for the exact
+        factory names to use.
+    options : ExecNodeOptions
+        Corresponding ExecNodeOptions subclass (matching the factory name).
+    inputs : list of Declaration, optional
+        Input nodes for this declaration. Optional if the node is a source
+        node, or when the declaration gets combined later with
+        ``from_sequence``.
+
+    Returns
+    -------
+    Declaration
+    """
+    cdef void init(self, const CDeclaration& c_decl):
+        self.decl = c_decl
+
+    @staticmethod
+    cdef wrap(const CDeclaration& c_decl):
+        cdef Declaration self = Declaration.__new__(Declaration)
+        self.init(c_decl)
+        return self
+
+    cdef inline CDeclaration unwrap(self) nogil:
+        return self.decl
+
+    def __init__(self, factory_name, ExecNodeOptions options, inputs=None):
+        cdef:
+            c_string c_factory_name
+            CDeclaration c_decl
+            vector[CDeclaration.Input] c_inputs
+
+        c_factory_name = tobytes(factory_name)
+
+        if inputs is not None:
+            for ipt in inputs:
+                c_inputs.push_back(
+                    CDeclaration.Input((<Declaration>ipt).unwrap())
+                )
+
+        c_decl = CDeclaration(c_factory_name, c_inputs, options.unwrap())
+        self.init(c_decl)
+
+    @staticmethod
+    def from_sequence(decls):
+        """
+        Convenience factory for the common case of a simple sequence of nodes.
+
+        Each of the declarations will be appended to the inputs of the
+        subsequent declaration, and the final modified declaration will
+        be returned.
+
+        Parameters
+        ----------
+        decls : list of Declaration
+
+        Returns
+        -------
+        Declaration
+        """
+        cdef:
+            vector[CDeclaration] c_decls
+            CDeclaration c_decl
+
+        for decl in decls:
+            c_decls.push_back((<Declaration> decl).unwrap())
+
+        c_decl = CDeclaration.Sequence(c_decls)
+        return Declaration.wrap(c_decl)
+
+    def __str__(self):
+        return frombytes(GetResultValue(DeclarationToString(self.decl)))
+
+    def __repr__(self):
+        return "<pyarrow.acero.Declaration>\n{0}".format(str(self))
+
+    def to_table(self, bint use_threads=True):
+        """
+        Run the declaration and collect the results into a table.
+
+        This method will implicitly add a sink node to the declaration
+        to collect results into a table. It will then create an ExecPlan
+        from the declaration, start the exec plan, block until the plan
+        has finished, and return the created table.
+
+        Parameters
+        ----------
+        use_threads : bool, default True
+            If set to False, then all CPU work will be done on the calling
+            thread. I/O tasks will still happen on the I/O executor
+            and may be multi-threaded (but should not use significant CPU
+            resources).
+
+        Returns
+        -------
+        pyarrow.Table
+        """
+        cdef:
+            shared_ptr[CTable] c_table
+
+        with nogil:
+            c_table = GetResultValue(DeclarationToTable(self.unwrap(), use_threads))
+        return pyarrow_wrap_table(c_table)
+
+    def to_reader(self, bint use_threads=True):
+        """Run the declaration and return results as a RecordBatchReader.
+
+        For details about the parameters, see `to_table`.
+
+        Returns
+        -------
+        pyarrow.RecordBatchReader
+        """
+        cdef:
+            RecordBatchReader reader
+        reader = RecordBatchReader.__new__(RecordBatchReader)
+        reader.reader.reset(
+            GetResultValue(DeclarationToReader(self.unwrap(), use_threads)).release()
+        )
+        return reader

env-llmeval/lib/python3.10/site-packages/pyarrow/_compute.pxd

@@ -0,0 +1,70 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# cython: language_level = 3
+
+from pyarrow.lib cimport *
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libarrow cimport *
+
+cdef class UdfContext(_Weakrefable):
+    cdef:
+        CUdfContext c_context
+
+    cdef void init(self, const CUdfContext& c_context)
+
+
+cdef class FunctionOptions(_Weakrefable):
+    cdef:
+        shared_ptr[CFunctionOptions] wrapped
+
+    cdef const CFunctionOptions* get_options(self) except NULL
+    cdef void init(self, const shared_ptr[CFunctionOptions]& sp)
+
+    cdef inline shared_ptr[CFunctionOptions] unwrap(self)
+
+
+cdef class _SortOptions(FunctionOptions):
+    pass
+
+
+cdef CExpression _bind(Expression filter, Schema schema) except *
+
+
+cdef class Expression(_Weakrefable):
+
+    cdef:
+        CExpression expr
+
+    cdef void init(self, const CExpression& sp)
+
+    @staticmethod
+    cdef wrap(const CExpression& sp)
+
+    cdef inline CExpression unwrap(self)
+
+    @staticmethod
+    cdef Expression _expr_or_scalar(object expr)
+
+
+cdef CExpression _true
+
+cdef CFieldRef _ensure_field_ref(value) except *
+
+cdef CSortOrder unwrap_sort_order(order) except *
+
+cdef CNullPlacement unwrap_null_placement(null_placement) except *

env-llmeval/lib/python3.10/site-packages/pyarrow/_compute_docstrings.py

@@ -0,0 +1,56 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+"""
+Custom documentation additions for compute functions.
+"""
+
+function_doc_additions = {}
+
+function_doc_additions["filter"] = """
+    Examples
+    --------
+    >>> import pyarrow as pa
+    >>> arr = pa.array(["a", "b", "c", None, "e"])
+    >>> mask = pa.array([True, False, None, False, True])
+    >>> arr.filter(mask)
+    <pyarrow.lib.StringArray object at ...>
+    [
+      "a",
+      "e"
+    ]
+    >>> arr.filter(mask, null_selection_behavior='emit_null')
+    <pyarrow.lib.StringArray object at ...>
+    [
+      "a",
+      null,
+      "e"
+    ]
+    """
+
+function_doc_additions["mode"] = """
+    Examples
+    --------
+    >>> import pyarrow as pa
+    >>> import pyarrow.compute as pc
+    >>> arr = pa.array([1, 1, 2, 2, 3, 2, 2, 2])
+    >>> modes = pc.mode(arr, 2)
+    >>> modes[0]
+    <pyarrow.StructScalar: [('mode', 2), ('count', 5)]>
+    >>> modes[1]
+    <pyarrow.StructScalar: [('mode', 1), ('count', 2)]>
+    """

env-llmeval/lib/python3.10/site-packages/pyarrow/_csv.pyx

@@ -0,0 +1,1542 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# cython: profile=False
+# distutils: language = c++
+# cython: language_level = 3
+
+from cython.operator cimport dereference as deref
+
+from collections import namedtuple
+from collections.abc import Mapping
+
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libarrow cimport *
+from pyarrow.includes.libarrow_python cimport *
+from pyarrow.lib cimport (check_status, Field, MemoryPool, Schema,
+                          RecordBatchReader, ensure_type,
+                          maybe_unbox_memory_pool, get_input_stream,
+                          get_writer, native_transcoding_input_stream,
+                          pyarrow_unwrap_batch, pyarrow_unwrap_schema,
+                          pyarrow_unwrap_table, pyarrow_wrap_schema,
+                          pyarrow_wrap_table, pyarrow_wrap_data_type,
+                          pyarrow_unwrap_data_type, Table, RecordBatch,
+                          StopToken, _CRecordBatchWriter)
+from pyarrow.lib import frombytes, tobytes, SignalStopHandler
+
+
+cdef unsigned char _single_char(s) except 0:
+    val = ord(s)
+    if val == 0 or val > 127:
+        raise ValueError("Expecting an ASCII character")
+    return <unsigned char> val
+
+
+_InvalidRow = namedtuple(
+    "_InvalidRow", ("expected_columns", "actual_columns", "number", "text"),
+    module=__name__)
+
+
+class InvalidRow(_InvalidRow):
+    """
+    Description of an invalid row in a CSV file.
+
+    Parameters
+    ----------
+    expected_columns : int
+        The expected number of columns in the row.
+    actual_columns : int
+        The actual number of columns in the row.
+    number : int or None
+        The physical row number if known, otherwise None.
+    text : str
+        The contents of the row.
+    """
+    __slots__ = ()
+
+
+cdef CInvalidRowResult _handle_invalid_row(
+        handler, const CCSVInvalidRow& c_row) except CInvalidRowResult_Error:
+    # A negative row number means undetermined (because of parallel reading)
+    row_number = c_row.number if c_row.number >= 0 else None
+    row = InvalidRow(c_row.expected_columns, c_row.actual_columns,
+                     row_number, frombytes(<c_string> c_row.text))
+    result = handler(row)
+    if result == 'error':
+        return CInvalidRowResult_Error
+    elif result == 'skip':
+        return CInvalidRowResult_Skip
+    else:
+        raise ValueError("Invalid return value for invalid row handler: "
+                         f"expected 'error' or 'skip', got {result!r}")
+
+
+cdef class ReadOptions(_Weakrefable):
+    """
+    Options for reading CSV files.
+
+    Parameters
+    ----------
+    use_threads : bool, optional (default True)
+        Whether to use multiple threads to accelerate reading
+    block_size : int, optional
+        How much bytes to process at a time from the input stream.
+        This will determine multi-threading granularity as well as
+        the size of individual record batches or table chunks.
+        Minimum valid value for block size is 1
+    skip_rows : int, optional (default 0)
+        The number of rows to skip before the column names (if any)
+        and the CSV data.
+    skip_rows_after_names : int, optional (default 0)
+        The number of rows to skip after the column names.
+        This number can be larger than the number of rows in one
+        block, and empty rows are counted.
+        The order of application is as follows:
+        - `skip_rows` is applied (if non-zero);
+        - column names are read (unless `column_names` is set);
+        - `skip_rows_after_names` is applied (if non-zero).
+    column_names : list, optional
+        The column names of the target table.  If empty, fall back on
+        `autogenerate_column_names`.
+    autogenerate_column_names : bool, optional (default False)
+        Whether to autogenerate column names if `column_names` is empty.
+        If true, column names will be of the form "f0", "f1"...
+        If false, column names will be read from the first CSV row
+        after `skip_rows`.
+    encoding : str, optional (default 'utf8')
+        The character encoding of the CSV data.  Columns that cannot
+        decode using this encoding can still be read as Binary.
+
+    Examples
+    --------
+
+    Defining an example data:
+
+    >>> import io
+    >>> s = "1,2,3\\nFlamingo,2,2022-03-01\\nHorse,4,2022-03-02\\nBrittle stars,5,2022-03-03\\nCentipede,100,2022-03-04"
+    >>> print(s)
+    1,2,3
+    Flamingo,2,2022-03-01
+    Horse,4,2022-03-02
+    Brittle stars,5,2022-03-03
+    Centipede,100,2022-03-04
+
+    Ignore the first numbered row and substitute it with defined
+    or autogenerated column names:
+
+    >>> from pyarrow import csv
+    >>> read_options = csv.ReadOptions(
+    ...                column_names=["animals", "n_legs", "entry"],
+    ...                skip_rows=1)
+    >>> csv.read_csv(io.BytesIO(s.encode()), read_options=read_options)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    entry: date32[day]
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede"]]
+    n_legs: [[2,4,5,100]]
+    entry: [[2022-03-01,2022-03-02,2022-03-03,2022-03-04]]
+
+    >>> read_options = csv.ReadOptions(autogenerate_column_names=True,
+    ...                                skip_rows=1)
+    >>> csv.read_csv(io.BytesIO(s.encode()), read_options=read_options)
+    pyarrow.Table
+    f0: string
+    f1: int64
+    f2: date32[day]
+    ----
+    f0: [["Flamingo","Horse","Brittle stars","Centipede"]]
+    f1: [[2,4,5,100]]
+    f2: [[2022-03-01,2022-03-02,2022-03-03,2022-03-04]]
+
+    Remove the first 2 rows of the data:
+
+    >>> read_options = csv.ReadOptions(skip_rows_after_names=2)
+    >>> csv.read_csv(io.BytesIO(s.encode()), read_options=read_options)
+    pyarrow.Table
+    1: string
+    2: int64
+    3: date32[day]
+    ----
+    1: [["Brittle stars","Centipede"]]
+    2: [[5,100]]
+    3: [[2022-03-03,2022-03-04]]
+    """
+
+    # Avoid mistakingly creating attributes
+    __slots__ = ()
+
+    # __init__() is not called when unpickling, initialize storage here
+    def __cinit__(self, *argw, **kwargs):
+        self.options.reset(new CCSVReadOptions(CCSVReadOptions.Defaults()))
+
+    def __init__(self, *, use_threads=None, block_size=None, skip_rows=None,
+                 skip_rows_after_names=None, column_names=None,
+                 autogenerate_column_names=None, encoding='utf8'):
+        if use_threads is not None:
+            self.use_threads = use_threads
+        if block_size is not None:
+            self.block_size = block_size
+        if skip_rows is not None:
+            self.skip_rows = skip_rows
+        if skip_rows_after_names is not None:
+            self.skip_rows_after_names = skip_rows_after_names
+        if column_names is not None:
+            self.column_names = column_names
+        if autogenerate_column_names is not None:
+            self.autogenerate_column_names= autogenerate_column_names
+        # Python-specific option
+        self.encoding = encoding
+
+    @property
+    def use_threads(self):
+        """
+        Whether to use multiple threads to accelerate reading.
+        """
+        return deref(self.options).use_threads
+
+    @use_threads.setter
+    def use_threads(self, value):
+        deref(self.options).use_threads = value
+
+    @property
+    def block_size(self):
+        """
+        How much bytes to process at a time from the input stream.
+        This will determine multi-threading granularity as well as
+        the size of individual record batches or table chunks.
+        """
+        return deref(self.options).block_size
+
+    @block_size.setter
+    def block_size(self, value):
+        deref(self.options).block_size = value
+
+    @property
+    def skip_rows(self):
+        """
+        The number of rows to skip before the column names (if any)
+        and the CSV data.
+        See `skip_rows_after_names` for interaction description
+        """
+        return deref(self.options).skip_rows
+
+    @skip_rows.setter
+    def skip_rows(self, value):
+        deref(self.options).skip_rows = value
+
+    @property
+    def skip_rows_after_names(self):
+        """
+        The number of rows to skip after the column names.
+        This number can be larger than the number of rows in one
+        block, and empty rows are counted.
+        The order of application is as follows:
+        - `skip_rows` is applied (if non-zero);
+        - column names are read (unless `column_names` is set);
+        - `skip_rows_after_names` is applied (if non-zero).
+        """
+        return deref(self.options).skip_rows_after_names
+
+    @skip_rows_after_names.setter
+    def skip_rows_after_names(self, value):
+        deref(self.options).skip_rows_after_names = value
+
+    @property
+    def column_names(self):
+        """
+        The column names of the target table.  If empty, fall back on
+        `autogenerate_column_names`.
+        """
+        return [frombytes(s) for s in deref(self.options).column_names]
+
+    @column_names.setter
+    def column_names(self, value):
+        deref(self.options).column_names.clear()
+        for item in value:
+            deref(self.options).column_names.push_back(tobytes(item))
+
+    @property
+    def autogenerate_column_names(self):
+        """
+        Whether to autogenerate column names if `column_names` is empty.
+        If true, column names will be of the form "f0", "f1"...
+        If false, column names will be read from the first CSV row
+        after `skip_rows`.
+        """
+        return deref(self.options).autogenerate_column_names
+
+    @autogenerate_column_names.setter
+    def autogenerate_column_names(self, value):
+        deref(self.options).autogenerate_column_names = value
+
+    def validate(self):
+        check_status(deref(self.options).Validate())
+
+    def equals(self, ReadOptions other):
+        """
+        Parameters
+        ----------
+        other : pyarrow.csv.ReadOptions
+
+        Returns
+        -------
+        bool
+        """
+        return (
+            self.use_threads == other.use_threads and
+            self.block_size == other.block_size and
+            self.skip_rows == other.skip_rows and
+            self.skip_rows_after_names == other.skip_rows_after_names and
+            self.column_names == other.column_names and
+            self.autogenerate_column_names ==
+            other.autogenerate_column_names and
+            self.encoding == other.encoding
+        )
+
+    @staticmethod
+    cdef ReadOptions wrap(CCSVReadOptions options):
+        out = ReadOptions()
+        out.options.reset(new CCSVReadOptions(move(options)))
+        out.encoding = 'utf8'  # No way to know this
+        return out
+
+    def __getstate__(self):
+        return (self.use_threads, self.block_size, self.skip_rows,
+                self.column_names, self.autogenerate_column_names,
+                self.encoding, self.skip_rows_after_names)
+
+    def __setstate__(self, state):
+        (self.use_threads, self.block_size, self.skip_rows,
+         self.column_names, self.autogenerate_column_names,
+         self.encoding, self.skip_rows_after_names) = state
+
+    def __eq__(self, other):
+        try:
+            return self.equals(other)
+        except TypeError:
+            return False
+
+
+cdef class ParseOptions(_Weakrefable):
+    """
+    Options for parsing CSV files.
+
+    Parameters
+    ----------
+    delimiter : 1-character string, optional (default ',')
+        The character delimiting individual cells in the CSV data.
+    quote_char : 1-character string or False, optional (default '"')
+        The character used optionally for quoting CSV values
+        (False if quoting is not allowed).
+    double_quote : bool, optional (default True)
+        Whether two quotes in a quoted CSV value denote a single quote
+        in the data.
+    escape_char : 1-character string or False, optional (default False)
+        The character used optionally for escaping special characters
+        (False if escaping is not allowed).
+    newlines_in_values : bool, optional (default False)
+        Whether newline characters are allowed in CSV values.
+        Setting this to True reduces the performance of multi-threaded
+        CSV reading.
+    ignore_empty_lines : bool, optional (default True)
+        Whether empty lines are ignored in CSV input.
+        If False, an empty line is interpreted as containing a single empty
+        value (assuming a one-column CSV file).
+    invalid_row_handler : callable, optional (default None)
+        If not None, this object is called for each CSV row that fails
+        parsing (because of a mismatching number of columns).
+        It should accept a single InvalidRow argument and return either
+        "skip" or "error" depending on the desired outcome.
+
+    Examples
+    --------
+
+    Defining an example file from bytes object:
+
+    >>> import io
+    >>> s = (
+    ...     "animals;n_legs;entry\\n"
+    ...     "Flamingo;2;2022-03-01\\n"
+    ...     "# Comment here:\\n"
+    ...     "Horse;4;2022-03-02\\n"
+    ...     "Brittle stars;5;2022-03-03\\n"
+    ...     "Centipede;100;2022-03-04"
+    ... )
+    >>> print(s)
+    animals;n_legs;entry
+    Flamingo;2;2022-03-01
+    # Comment here:
+    Horse;4;2022-03-02
+    Brittle stars;5;2022-03-03
+    Centipede;100;2022-03-04
+    >>> source = io.BytesIO(s.encode())
+
+    Read the data from a file skipping rows with comments
+    and defining the delimiter:
+
+    >>> from pyarrow import csv
+    >>> def skip_comment(row):
+    ...     if row.text.startswith("# "):
+    ...         return 'skip'
+    ...     else:
+    ...         return 'error'
+    ...
+    >>> parse_options = csv.ParseOptions(delimiter=";", invalid_row_handler=skip_comment)
+    >>> csv.read_csv(source, parse_options=parse_options)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    entry: date32[day]
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede"]]
+    n_legs: [[2,4,5,100]]
+    entry: [[2022-03-01,2022-03-02,2022-03-03,2022-03-04]]
+    """
+    __slots__ = ()
+
+    def __cinit__(self, *argw, **kwargs):
+        self._invalid_row_handler = None
+        self.options.reset(new CCSVParseOptions(CCSVParseOptions.Defaults()))
+
+    def __init__(self, *, delimiter=None, quote_char=None, double_quote=None,
+                 escape_char=None, newlines_in_values=None,
+                 ignore_empty_lines=None, invalid_row_handler=None):
+        if delimiter is not None:
+            self.delimiter = delimiter
+        if quote_char is not None:
+            self.quote_char = quote_char
+        if double_quote is not None:
+            self.double_quote = double_quote
+        if escape_char is not None:
+            self.escape_char = escape_char
+        if newlines_in_values is not None:
+            self.newlines_in_values = newlines_in_values
+        if ignore_empty_lines is not None:
+            self.ignore_empty_lines = ignore_empty_lines
+        if invalid_row_handler is not None:
+            self.invalid_row_handler = invalid_row_handler
+
+    @property
+    def delimiter(self):
+        """
+        The character delimiting individual cells in the CSV data.
+        """
+        return chr(deref(self.options).delimiter)
+
+    @delimiter.setter
+    def delimiter(self, value):
+        deref(self.options).delimiter = _single_char(value)
+
+    @property
+    def quote_char(self):
+        """
+        The character used optionally for quoting CSV values
+        (False if quoting is not allowed).
+        """
+        if deref(self.options).quoting:
+            return chr(deref(self.options).quote_char)
+        else:
+            return False
+
+    @quote_char.setter
+    def quote_char(self, value):
+        if value is False:
+            deref(self.options).quoting = False
+        else:
+            deref(self.options).quote_char = _single_char(value)
+            deref(self.options).quoting = True
+
+    @property
+    def double_quote(self):
+        """
+        Whether two quotes in a quoted CSV value denote a single quote
+        in the data.
+        """
+        return deref(self.options).double_quote
+
+    @double_quote.setter
+    def double_quote(self, value):
+        deref(self.options).double_quote = value
+
+    @property
+    def escape_char(self):
+        """
+        The character used optionally for escaping special characters
+        (False if escaping is not allowed).
+        """
+        if deref(self.options).escaping:
+            return chr(deref(self.options).escape_char)
+        else:
+            return False
+
+    @escape_char.setter
+    def escape_char(self, value):
+        if value is False:
+            deref(self.options).escaping = False
+        else:
+            deref(self.options).escape_char = _single_char(value)
+            deref(self.options).escaping = True
+
+    @property
+    def newlines_in_values(self):
+        """
+        Whether newline characters are allowed in CSV values.
+        Setting this to True reduces the performance of multi-threaded
+        CSV reading.
+        """
+        return deref(self.options).newlines_in_values
+
+    @newlines_in_values.setter
+    def newlines_in_values(self, value):
+        deref(self.options).newlines_in_values = value
+
+    @property
+    def ignore_empty_lines(self):
+        """
+        Whether empty lines are ignored in CSV input.
+        If False, an empty line is interpreted as containing a single empty
+        value (assuming a one-column CSV file).
+        """
+        return deref(self.options).ignore_empty_lines
+
+    @property
+    def invalid_row_handler(self):
+        """
+        Optional handler for invalid rows.
+
+        If not None, this object is called for each CSV row that fails
+        parsing (because of a mismatching number of columns).
+        It should accept a single InvalidRow argument and return either
+        "skip" or "error" depending on the desired outcome.
+        """
+        return self._invalid_row_handler
+
+    @invalid_row_handler.setter
+    def invalid_row_handler(self, value):
+        if value is not None and not callable(value):
+            raise TypeError("Expected callable or None, "
+                            f"got instance of {type(value)!r}")
+        self._invalid_row_handler = value
+        deref(self.options).invalid_row_handler = MakeInvalidRowHandler(
+            <function[PyInvalidRowCallback]> &_handle_invalid_row, value)
+
+    @ignore_empty_lines.setter
+    def ignore_empty_lines(self, value):
+        deref(self.options).ignore_empty_lines = value
+
+    def validate(self):
+        check_status(deref(self.options).Validate())
+
+    def equals(self, ParseOptions other):
+        """
+        Parameters
+        ----------
+        other : pyarrow.csv.ParseOptions
+
+        Returns
+        -------
+        bool
+        """
+        return (
+            self.delimiter == other.delimiter and
+            self.quote_char == other.quote_char and
+            self.double_quote == other.double_quote and
+            self.escape_char == other.escape_char and
+            self.newlines_in_values == other.newlines_in_values and
+            self.ignore_empty_lines == other.ignore_empty_lines and
+            self._invalid_row_handler == other._invalid_row_handler
+        )
+
+    @staticmethod
+    cdef ParseOptions wrap(CCSVParseOptions options):
+        out = ParseOptions()
+        out.options.reset(new CCSVParseOptions(move(options)))
+        return out
+
+    def __getstate__(self):
+        return (self.delimiter, self.quote_char, self.double_quote,
+                self.escape_char, self.newlines_in_values,
+                self.ignore_empty_lines, self.invalid_row_handler)
+
+    def __setstate__(self, state):
+        (self.delimiter, self.quote_char, self.double_quote,
+         self.escape_char, self.newlines_in_values,
+         self.ignore_empty_lines, self.invalid_row_handler) = state
+
+    def __eq__(self, other):
+        try:
+            return self.equals(other)
+        except TypeError:
+            return False
+
+
+cdef class _ISO8601(_Weakrefable):
+    """
+    A special object indicating ISO-8601 parsing.
+    """
+    __slots__ = ()
+
+    def __str__(self):
+        return 'ISO8601'
+
+    def __eq__(self, other):
+        return isinstance(other, _ISO8601)
+
+
+ISO8601 = _ISO8601()
+
+
+cdef class ConvertOptions(_Weakrefable):
+    """
+    Options for converting CSV data.
+
+    Parameters
+    ----------
+    check_utf8 : bool, optional (default True)
+        Whether to check UTF8 validity of string columns.
+    column_types : pyarrow.Schema or dict, optional
+        Explicitly map column names to column types. Passing this argument
+        disables type inference on the defined columns.
+    null_values : list, optional
+        A sequence of strings that denote nulls in the data
+        (defaults are appropriate in most cases). Note that by default,
+        string columns are not checked for null values. To enable
+        null checking for those, specify ``strings_can_be_null=True``.
+    true_values : list, optional
+        A sequence of strings that denote true booleans in the data
+        (defaults are appropriate in most cases).
+    false_values : list, optional
+        A sequence of strings that denote false booleans in the data
+        (defaults are appropriate in most cases).
+    decimal_point : 1-character string, optional (default '.')
+        The character used as decimal point in floating-point and decimal
+        data.
+    strings_can_be_null : bool, optional (default False)
+        Whether string / binary columns can have null values.
+        If true, then strings in null_values are considered null for
+        string columns.
+        If false, then all strings are valid string values.
+    quoted_strings_can_be_null : bool, optional (default True)
+        Whether quoted values can be null.
+        If true, then strings in "null_values" are also considered null
+        when they appear quoted in the CSV file. Otherwise, quoted values
+        are never considered null.
+    include_columns : list, optional
+        The names of columns to include in the Table.
+        If empty, the Table will include all columns from the CSV file.
+        If not empty, only these columns will be included, in this order.
+    include_missing_columns : bool, optional (default False)
+        If false, columns in `include_columns` but not in the CSV file will
+        error out.
+        If true, columns in `include_columns` but not in the CSV file will
+        produce a column of nulls (whose type is selected using
+        `column_types`, or null by default).
+        This option is ignored if `include_columns` is empty.
+    auto_dict_encode : bool, optional (default False)
+        Whether to try to automatically dict-encode string / binary data.
+        If true, then when type inference detects a string or binary column,
+        it it dict-encoded up to `auto_dict_max_cardinality` distinct values
+        (per chunk), after which it switches to regular encoding.
+        This setting is ignored for non-inferred columns (those in
+        `column_types`).
+    auto_dict_max_cardinality : int, optional
+        The maximum dictionary cardinality for `auto_dict_encode`.
+        This value is per chunk.
+    timestamp_parsers : list, optional
+        A sequence of strptime()-compatible format strings, tried in order
+        when attempting to infer or convert timestamp values (the special
+        value ISO8601() can also be given).  By default, a fast built-in
+        ISO-8601 parser is used.
+
+    Examples
+    --------
+
+    Defining an example data:
+
+    >>> import io
+    >>> s = (
+    ...     "animals,n_legs,entry,fast\\n"
+    ...     "Flamingo,2,01/03/2022,Yes\\n"
+    ...     "Horse,4,02/03/2022,Yes\\n"
+    ...     "Brittle stars,5,03/03/2022,No\\n"
+    ...     "Centipede,100,04/03/2022,No\\n"
+    ...     ",6,05/03/2022,"
+    ... )
+    >>> print(s)
+    animals,n_legs,entry,fast
+    Flamingo,2,01/03/2022,Yes
+    Horse,4,02/03/2022,Yes
+    Brittle stars,5,03/03/2022,No
+    Centipede,100,04/03/2022,No
+    ,6,05/03/2022,
+
+    Change the type of a column:
+
+    >>> import pyarrow as pa
+    >>> from pyarrow import csv
+    >>> convert_options = csv.ConvertOptions(column_types={"n_legs": pa.float64()})
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: string
+    n_legs: double
+    entry: string
+    fast: string
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]
+    n_legs: [[2,4,5,100,6]]
+    entry: [["01/03/2022","02/03/2022","03/03/2022","04/03/2022","05/03/2022"]]
+    fast: [["Yes","Yes","No","No",""]]
+
+    Define a date parsing format to get a timestamp type column
+    (in case dates are not in ISO format and not converted by default):
+
+    >>> convert_options = csv.ConvertOptions(
+    ...                   timestamp_parsers=["%m/%d/%Y", "%m-%d-%Y"])
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    entry: timestamp[s]
+    fast: string
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]
+    n_legs: [[2,4,5,100,6]]
+    entry: [[2022-01-03 00:00:00,2022-02-03 00:00:00,2022-03-03 00:00:00,2022-04-03 00:00:00,2022-05-03 00:00:00]]
+    fast: [["Yes","Yes","No","No",""]]
+
+    Specify a subset of columns to be read:
+
+    >>> convert_options = csv.ConvertOptions(
+    ...                   include_columns=["animals", "n_legs"])
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]
+    n_legs: [[2,4,5,100,6]]
+
+    List additional column to be included as a null typed column:
+
+    >>> convert_options = csv.ConvertOptions(
+    ...                   include_columns=["animals", "n_legs", "location"],
+    ...                   include_missing_columns=True)
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    location: null
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]
+    n_legs: [[2,4,5,100,6]]
+    location: [5 nulls]
+
+    Define columns as dictionary type (by default only the
+    string/binary columns are dictionary encoded):
+
+    >>> convert_options = csv.ConvertOptions(
+    ...                   timestamp_parsers=["%m/%d/%Y", "%m-%d-%Y"],
+    ...                   auto_dict_encode=True)
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: dictionary<values=string, indices=int32, ordered=0>
+    n_legs: int64
+    entry: timestamp[s]
+    fast: dictionary<values=string, indices=int32, ordered=0>
+    ----
+    animals: [  -- dictionary:
+    ["Flamingo","Horse","Brittle stars","Centipede",""]  -- indices:
+    [0,1,2,3,4]]
+    n_legs: [[2,4,5,100,6]]
+    entry: [[2022-01-03 00:00:00,2022-02-03 00:00:00,2022-03-03 00:00:00,2022-04-03 00:00:00,2022-05-03 00:00:00]]
+    fast: [  -- dictionary:
+    ["Yes","No",""]  -- indices:
+    [0,0,1,1,2]]
+
+    Set upper limit for the number of categories. If the categories
+    is more than the limit, the conversion to dictionary will not
+    happen:
+
+    >>> convert_options = csv.ConvertOptions(
+    ...                   include_columns=["animals"],
+    ...                   auto_dict_encode=True,
+    ...                   auto_dict_max_cardinality=2)
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: string
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]
+
+    Set empty strings to missing values:
+
+    >>> convert_options = csv.ConvertOptions(include_columns=["animals", "n_legs"],
+    ...                   strings_can_be_null=True)
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede",null]]
+    n_legs: [[2,4,5,100,6]]
+
+    Define values to be True and False when converting a column
+    into a bool type:
+
+    >>> convert_options = csv.ConvertOptions(
+    ...                   include_columns=["fast"],
+    ...                   false_values=["No"],
+    ...                   true_values=["Yes"])
+    >>> csv.read_csv(io.BytesIO(s.encode()), convert_options=convert_options)
+    pyarrow.Table
+    fast: bool
+    ----
+    fast: [[true,true,false,false,null]]
+    """
+
+    # Avoid mistakingly creating attributes
+    __slots__ = ()
+
+    def __cinit__(self, *argw, **kwargs):
+        self.options.reset(
+            new CCSVConvertOptions(CCSVConvertOptions.Defaults()))
+
+    def __init__(self, *, check_utf8=None, column_types=None, null_values=None,
+                 true_values=None, false_values=None, decimal_point=None,
+                 strings_can_be_null=None, quoted_strings_can_be_null=None,
+                 include_columns=None, include_missing_columns=None,
+                 auto_dict_encode=None, auto_dict_max_cardinality=None,
+                 timestamp_parsers=None):
+        if check_utf8 is not None:
+            self.check_utf8 = check_utf8
+        if column_types is not None:
+            self.column_types = column_types
+        if null_values is not None:
+            self.null_values = null_values
+        if true_values is not None:
+            self.true_values = true_values
+        if false_values is not None:
+            self.false_values = false_values
+        if decimal_point is not None:
+            self.decimal_point = decimal_point
+        if strings_can_be_null is not None:
+            self.strings_can_be_null = strings_can_be_null
+        if quoted_strings_can_be_null is not None:
+            self.quoted_strings_can_be_null = quoted_strings_can_be_null
+        if include_columns is not None:
+            self.include_columns = include_columns
+        if include_missing_columns is not None:
+            self.include_missing_columns = include_missing_columns
+        if auto_dict_encode is not None:
+            self.auto_dict_encode = auto_dict_encode
+        if auto_dict_max_cardinality is not None:
+            self.auto_dict_max_cardinality = auto_dict_max_cardinality
+        if timestamp_parsers is not None:
+            self.timestamp_parsers = timestamp_parsers
+
+    @property
+    def check_utf8(self):
+        """
+        Whether to check UTF8 validity of string columns.
+        """
+        return deref(self.options).check_utf8
+
+    @check_utf8.setter
+    def check_utf8(self, value):
+        deref(self.options).check_utf8 = value
+
+    @property
+    def strings_can_be_null(self):
+        """
+        Whether string / binary columns can have null values.
+        """
+        return deref(self.options).strings_can_be_null
+
+    @strings_can_be_null.setter
+    def strings_can_be_null(self, value):
+        deref(self.options).strings_can_be_null = value
+
+    @property
+    def quoted_strings_can_be_null(self):
+        """
+        Whether quoted values can be null.
+        """
+        return deref(self.options).quoted_strings_can_be_null
+
+    @quoted_strings_can_be_null.setter
+    def quoted_strings_can_be_null(self, value):
+        deref(self.options).quoted_strings_can_be_null = value
+
+    @property
+    def column_types(self):
+        """
+        Explicitly map column names to column types.
+        """
+        d = {frombytes(item.first): pyarrow_wrap_data_type(item.second)
+             for item in deref(self.options).column_types}
+        return d
+
+    @column_types.setter
+    def column_types(self, value):
+        cdef:
+            shared_ptr[CDataType] typ
+
+        if isinstance(value, Mapping):
+            value = value.items()
+
+        deref(self.options).column_types.clear()
+        for item in value:
+            if isinstance(item, Field):
+                k = item.name
+                v = item.type
+            else:
+                k, v = item
+            typ = pyarrow_unwrap_data_type(ensure_type(v))
+            assert typ != NULL
+            deref(self.options).column_types[tobytes(k)] = typ
+
+    @property
+    def null_values(self):
+        """
+        A sequence of strings that denote nulls in the data.
+        """
+        return [frombytes(x) for x in deref(self.options).null_values]
+
+    @null_values.setter
+    def null_values(self, value):
+        deref(self.options).null_values = [tobytes(x) for x in value]
+
+    @property
+    def true_values(self):
+        """
+        A sequence of strings that denote true booleans in the data.
+        """
+        return [frombytes(x) for x in deref(self.options).true_values]
+
+    @true_values.setter
+    def true_values(self, value):
+        deref(self.options).true_values = [tobytes(x) for x in value]
+
+    @property
+    def false_values(self):
+        """
+        A sequence of strings that denote false booleans in the data.
+        """
+        return [frombytes(x) for x in deref(self.options).false_values]
+
+    @false_values.setter
+    def false_values(self, value):
+        deref(self.options).false_values = [tobytes(x) for x in value]
+
+    @property
+    def decimal_point(self):
+        """
+        The character used as decimal point in floating-point and decimal
+        data.
+        """
+        return chr(deref(self.options).decimal_point)
+
+    @decimal_point.setter
+    def decimal_point(self, value):
+        deref(self.options).decimal_point = _single_char(value)
+
+    @property
+    def auto_dict_encode(self):
+        """
+        Whether to try to automatically dict-encode string / binary data.
+        """
+        return deref(self.options).auto_dict_encode
+
+    @auto_dict_encode.setter
+    def auto_dict_encode(self, value):
+        deref(self.options).auto_dict_encode = value
+
+    @property
+    def auto_dict_max_cardinality(self):
+        """
+        The maximum dictionary cardinality for `auto_dict_encode`.
+
+        This value is per chunk.
+        """
+        return deref(self.options).auto_dict_max_cardinality
+
+    @auto_dict_max_cardinality.setter
+    def auto_dict_max_cardinality(self, value):
+        deref(self.options).auto_dict_max_cardinality = value
+
+    @property
+    def include_columns(self):
+        """
+        The names of columns to include in the Table.
+
+        If empty, the Table will include all columns from the CSV file.
+        If not empty, only these columns will be included, in this order.
+        """
+        return [frombytes(s) for s in deref(self.options).include_columns]
+
+    @include_columns.setter
+    def include_columns(self, value):
+        deref(self.options).include_columns.clear()
+        for item in value:
+            deref(self.options).include_columns.push_back(tobytes(item))
+
+    @property
+    def include_missing_columns(self):
+        """
+        If false, columns in `include_columns` but not in the CSV file will
+        error out.
+        If true, columns in `include_columns` but not in the CSV file will
+        produce a null column (whose type is selected using `column_types`,
+        or null by default).
+        This option is ignored if `include_columns` is empty.
+        """
+        return deref(self.options).include_missing_columns
+
+    @include_missing_columns.setter
+    def include_missing_columns(self, value):
+        deref(self.options).include_missing_columns = value
+
+    @property
+    def timestamp_parsers(self):
+        """
+        A sequence of strptime()-compatible format strings, tried in order
+        when attempting to infer or convert timestamp values (the special
+        value ISO8601() can also be given).  By default, a fast built-in
+        ISO-8601 parser is used.
+        """
+        cdef:
+            shared_ptr[CTimestampParser] c_parser
+            c_string kind
+
+        parsers = []
+        for c_parser in deref(self.options).timestamp_parsers:
+            kind = deref(c_parser).kind()
+            if kind == b'strptime':
+                parsers.append(frombytes(deref(c_parser).format()))
+            else:
+                assert kind == b'iso8601'
+                parsers.append(ISO8601)
+
+        return parsers
+
+    @timestamp_parsers.setter
+    def timestamp_parsers(self, value):
+        cdef:
+            vector[shared_ptr[CTimestampParser]] c_parsers
+
+        for v in value:
+            if isinstance(v, str):
+                c_parsers.push_back(CTimestampParser.MakeStrptime(tobytes(v)))
+            elif v == ISO8601:
+                c_parsers.push_back(CTimestampParser.MakeISO8601())
+            else:
+                raise TypeError("Expected list of str or ISO8601 objects")
+
+        deref(self.options).timestamp_parsers = move(c_parsers)
+
+    @staticmethod
+    cdef ConvertOptions wrap(CCSVConvertOptions options):
+        out = ConvertOptions()
+        out.options.reset(new CCSVConvertOptions(move(options)))
+        return out
+
+    def validate(self):
+        check_status(deref(self.options).Validate())
+
+    def equals(self, ConvertOptions other):
+        """
+        Parameters
+        ----------
+        other : pyarrow.csv.ConvertOptions
+
+        Returns
+        -------
+        bool
+        """
+        return (
+            self.check_utf8 == other.check_utf8 and
+            self.column_types == other.column_types and
+            self.null_values == other.null_values and
+            self.true_values == other.true_values and
+            self.false_values == other.false_values and
+            self.decimal_point == other.decimal_point and
+            self.timestamp_parsers == other.timestamp_parsers and
+            self.strings_can_be_null == other.strings_can_be_null and
+            self.quoted_strings_can_be_null ==
+            other.quoted_strings_can_be_null and
+            self.auto_dict_encode == other.auto_dict_encode and
+            self.auto_dict_max_cardinality ==
+            other.auto_dict_max_cardinality and
+            self.include_columns == other.include_columns and
+            self.include_missing_columns == other.include_missing_columns
+        )
+
+    def __getstate__(self):
+        return (self.check_utf8, self.column_types, self.null_values,
+                self.true_values, self.false_values, self.decimal_point,
+                self.timestamp_parsers, self.strings_can_be_null,
+                self.quoted_strings_can_be_null, self.auto_dict_encode,
+                self.auto_dict_max_cardinality, self.include_columns,
+                self.include_missing_columns)
+
+    def __setstate__(self, state):
+        (self.check_utf8, self.column_types, self.null_values,
+         self.true_values, self.false_values, self.decimal_point,
+         self.timestamp_parsers, self.strings_can_be_null,
+         self.quoted_strings_can_be_null, self.auto_dict_encode,
+         self.auto_dict_max_cardinality, self.include_columns,
+         self.include_missing_columns) = state
+
+    def __eq__(self, other):
+        try:
+            return self.equals(other)
+        except TypeError:
+            return False
+
+
+cdef _get_reader(input_file, ReadOptions read_options,
+                 shared_ptr[CInputStream]* out):
+    use_memory_map = False
+    get_input_stream(input_file, use_memory_map, out)
+    if read_options is not None:
+        out[0] = native_transcoding_input_stream(out[0],
+                                                 read_options.encoding,
+                                                 'utf8')
+
+
+cdef _get_read_options(ReadOptions read_options, CCSVReadOptions* out):
+    if read_options is None:
+        out[0] = CCSVReadOptions.Defaults()
+    else:
+        out[0] = deref(read_options.options)
+
+
+cdef _get_parse_options(ParseOptions parse_options, CCSVParseOptions* out):
+    if parse_options is None:
+        out[0] = CCSVParseOptions.Defaults()
+    else:
+        out[0] = deref(parse_options.options)
+
+
+cdef _get_convert_options(ConvertOptions convert_options,
+                          CCSVConvertOptions* out):
+    if convert_options is None:
+        out[0] = CCSVConvertOptions.Defaults()
+    else:
+        out[0] = deref(convert_options.options)
+
+
+cdef class CSVStreamingReader(RecordBatchReader):
+    """An object that reads record batches incrementally from a CSV file.
+
+    Should not be instantiated directly by user code.
+    """
+    cdef readonly:
+        Schema schema
+
+    def __init__(self):
+        raise TypeError("Do not call {}'s constructor directly, "
+                        "use pyarrow.csv.open_csv() instead."
+                        .format(self.__class__.__name__))
+
+    # Note about cancellation: we cannot create a SignalStopHandler
+    # by default here, as several CSVStreamingReader instances may be
+    # created (including by the same thread).  Handling cancellation
+    # would require having the user pass the SignalStopHandler.
+    # (in addition to solving ARROW-11853)
+
+    cdef _open(self, shared_ptr[CInputStream] stream,
+               CCSVReadOptions c_read_options,
+               CCSVParseOptions c_parse_options,
+               CCSVConvertOptions c_convert_options,
+               MemoryPool memory_pool):
+        cdef:
+            shared_ptr[CSchema] c_schema
+            CIOContext io_context
+
+        io_context = CIOContext(maybe_unbox_memory_pool(memory_pool))
+
+        with nogil:
+            self.reader = <shared_ptr[CRecordBatchReader]> GetResultValue(
+                CCSVStreamingReader.Make(
+                    io_context, stream,
+                    move(c_read_options), move(c_parse_options),
+                    move(c_convert_options)))
+            c_schema = self.reader.get().schema()
+
+        self.schema = pyarrow_wrap_schema(c_schema)
+
+
+def read_csv(input_file, read_options=None, parse_options=None,
+             convert_options=None, MemoryPool memory_pool=None):
+    """
+    Read a Table from a stream of CSV data.
+
+    Parameters
+    ----------
+    input_file : string, path or file-like object
+        The location of CSV data.  If a string or path, and if it ends
+        with a recognized compressed file extension (e.g. ".gz" or ".bz2"),
+        the data is automatically decompressed when reading.
+    read_options : pyarrow.csv.ReadOptions, optional
+        Options for the CSV reader (see pyarrow.csv.ReadOptions constructor
+        for defaults)
+    parse_options : pyarrow.csv.ParseOptions, optional
+        Options for the CSV parser
+        (see pyarrow.csv.ParseOptions constructor for defaults)
+    convert_options : pyarrow.csv.ConvertOptions, optional
+        Options for converting CSV data
+        (see pyarrow.csv.ConvertOptions constructor for defaults)
+    memory_pool : MemoryPool, optional
+        Pool to allocate Table memory from
+
+    Returns
+    -------
+    :class:`pyarrow.Table`
+        Contents of the CSV file as a in-memory table.
+
+    Examples
+    --------
+
+    Defining an example file from bytes object:
+
+    >>> import io
+    >>> s = (
+    ...     "animals,n_legs,entry\\n"
+    ...     "Flamingo,2,2022-03-01\\n"
+    ...     "Horse,4,2022-03-02\\n"
+    ...     "Brittle stars,5,2022-03-03\\n"
+    ...     "Centipede,100,2022-03-04"
+    ... )
+    >>> print(s)
+    animals,n_legs,entry
+    Flamingo,2,2022-03-01
+    Horse,4,2022-03-02
+    Brittle stars,5,2022-03-03
+    Centipede,100,2022-03-04
+    >>> source = io.BytesIO(s.encode())
+
+    Reading from the file
+
+    >>> from pyarrow import csv
+    >>> csv.read_csv(source)
+    pyarrow.Table
+    animals: string
+    n_legs: int64
+    entry: date32[day]
+    ----
+    animals: [["Flamingo","Horse","Brittle stars","Centipede"]]
+    n_legs: [[2,4,5,100]]
+    entry: [[2022-03-01,2022-03-02,2022-03-03,2022-03-04]]
+    """
+    cdef:
+        shared_ptr[CInputStream] stream
+        CCSVReadOptions c_read_options
+        CCSVParseOptions c_parse_options
+        CCSVConvertOptions c_convert_options
+        CIOContext io_context
+        SharedPtrNoGIL[CCSVReader] reader
+        shared_ptr[CTable] table
+
+    _get_reader(input_file, read_options, &stream)
+    _get_read_options(read_options, &c_read_options)
+    _get_parse_options(parse_options, &c_parse_options)
+    _get_convert_options(convert_options, &c_convert_options)
+
+    with SignalStopHandler() as stop_handler:
+        io_context = CIOContext(
+            maybe_unbox_memory_pool(memory_pool),
+            (<StopToken> stop_handler.stop_token).stop_token)
+        reader = GetResultValue(CCSVReader.Make(
+            io_context, stream,
+            c_read_options, c_parse_options, c_convert_options))
+
+        with nogil:
+            table = GetResultValue(reader.get().Read())
+
+    return pyarrow_wrap_table(table)
+
+
+def open_csv(input_file, read_options=None, parse_options=None,
+             convert_options=None, MemoryPool memory_pool=None):
+    """
+    Open a streaming reader of CSV data.
+
+    Reading using this function is always single-threaded.
+
+    Parameters
+    ----------
+    input_file : string, path or file-like object
+        The location of CSV data.  If a string or path, and if it ends
+        with a recognized compressed file extension (e.g. ".gz" or ".bz2"),
+        the data is automatically decompressed when reading.
+    read_options : pyarrow.csv.ReadOptions, optional
+        Options for the CSV reader (see pyarrow.csv.ReadOptions constructor
+        for defaults)
+    parse_options : pyarrow.csv.ParseOptions, optional
+        Options for the CSV parser
+        (see pyarrow.csv.ParseOptions constructor for defaults)
+    convert_options : pyarrow.csv.ConvertOptions, optional
+        Options for converting CSV data
+        (see pyarrow.csv.ConvertOptions constructor for defaults)
+    memory_pool : MemoryPool, optional
+        Pool to allocate Table memory from
+
+    Returns
+    -------
+    :class:`pyarrow.csv.CSVStreamingReader`
+    """
+    cdef:
+        shared_ptr[CInputStream] stream
+        CCSVReadOptions c_read_options
+        CCSVParseOptions c_parse_options
+        CCSVConvertOptions c_convert_options
+        CSVStreamingReader reader
+
+    _get_reader(input_file, read_options, &stream)
+    _get_read_options(read_options, &c_read_options)
+    _get_parse_options(parse_options, &c_parse_options)
+    _get_convert_options(convert_options, &c_convert_options)
+
+    reader = CSVStreamingReader.__new__(CSVStreamingReader)
+    reader._open(stream, move(c_read_options), move(c_parse_options),
+                 move(c_convert_options), memory_pool)
+    return reader
+
+
+def _raise_invalid_function_option(value, description, *,
+                                   exception_class=ValueError):
+    raise exception_class(f"\"{value}\" is not a valid {description}")
+
+
+cdef CQuotingStyle unwrap_quoting_style(quoting_style) except *:
+    if quoting_style == "needed":
+        return CQuotingStyle_Needed
+    elif quoting_style == "all_valid":
+        return CQuotingStyle_AllValid
+    elif quoting_style == "none":
+        return CQuotingStyle_None
+    _raise_invalid_function_option(quoting_style, "quoting style")
+
+
+cdef wrap_quoting_style(quoting_style):
+    if quoting_style == CQuotingStyle_Needed:
+        return 'needed'
+    elif quoting_style == CQuotingStyle_AllValid:
+        return 'all_valid'
+    elif quoting_style == CQuotingStyle_None:
+        return 'none'
+
+
+cdef class WriteOptions(_Weakrefable):
+    """
+    Options for writing CSV files.
+
+    Parameters
+    ----------
+    include_header : bool, optional (default True)
+        Whether to write an initial header line with column names
+    batch_size : int, optional (default 1024)
+        How many rows to process together when converting and writing
+        CSV data
+    delimiter : 1-character string, optional (default ",")
+        The character delimiting individual cells in the CSV data.
+    quoting_style : str, optional (default "needed")
+        Whether to quote values, and if so, which quoting style to use.
+        The following values are accepted:
+
+        - "needed" (default): only enclose values in quotes when needed.
+        - "all_valid": enclose all valid values in quotes; nulls are not quoted.
+        - "none": do not enclose any values in quotes; values containing
+          special characters (such as quotes, cell delimiters or line endings)
+          will raise an error.
+    """
+
+    # Avoid mistakingly creating attributes
+    __slots__ = ()
+
+    def __init__(self, *, include_header=None, batch_size=None,
+                 delimiter=None, quoting_style=None):
+        self.options.reset(new CCSVWriteOptions(CCSVWriteOptions.Defaults()))
+        if include_header is not None:
+            self.include_header = include_header
+        if batch_size is not None:
+            self.batch_size = batch_size
+        if delimiter is not None:
+            self.delimiter = delimiter
+        if quoting_style is not None:
+            self.quoting_style = quoting_style
+
+    @property
+    def include_header(self):
+        """
+        Whether to write an initial header line with column names.
+        """
+        return deref(self.options).include_header
+
+    @include_header.setter
+    def include_header(self, value):
+        deref(self.options).include_header = value
+
+    @property
+    def batch_size(self):
+        """
+        How many rows to process together when converting and writing
+        CSV data.
+        """
+        return deref(self.options).batch_size
+
+    @batch_size.setter
+    def batch_size(self, value):
+        deref(self.options).batch_size = value
+
+    @property
+    def delimiter(self):
+        """
+        The character delimiting individual cells in the CSV data.
+        """
+        return chr(deref(self.options).delimiter)
+
+    @delimiter.setter
+    def delimiter(self, value):
+        deref(self.options).delimiter = _single_char(value)
+
+    @property
+    def quoting_style(self):
+        """
+        Whether to quote values, and if so, which quoting style to use.
+        The following values are accepted:
+
+        - "needed" (default): only enclose values in quotes when needed.
+        - "all_valid": enclose all valid values in quotes; nulls are not quoted.
+        - "none": do not enclose any values in quotes; values containing
+          special characters (such as quotes, cell delimiters or line endings)
+          will raise an error.
+        """
+        return wrap_quoting_style(deref(self.options).quoting_style)
+
+    @quoting_style.setter
+    def quoting_style(self, value):
+        deref(self.options).quoting_style = unwrap_quoting_style(value)
+
+    @staticmethod
+    cdef WriteOptions wrap(CCSVWriteOptions options):
+        out = WriteOptions()
+        out.options.reset(new CCSVWriteOptions(move(options)))
+        return out
+
+    def validate(self):
+        check_status(self.options.get().Validate())
+
+
+cdef _get_write_options(WriteOptions write_options, CCSVWriteOptions* out):
+    if write_options is None:
+        out[0] = CCSVWriteOptions.Defaults()
+    else:
+        out[0] = deref(write_options.options)
+
+
+def write_csv(data, output_file, write_options=None,
+              MemoryPool memory_pool=None):
+    """
+    Write record batch or table to a CSV file.
+
+    Parameters
+    ----------
+    data : pyarrow.RecordBatch or pyarrow.Table
+        The data to write.
+    output_file : string, path, pyarrow.NativeFile, or file-like object
+        The location where to write the CSV data.
+    write_options : pyarrow.csv.WriteOptions
+        Options to configure writing the CSV data.
+    memory_pool : MemoryPool, optional
+        Pool for temporary allocations.
+
+    Examples
+    --------
+
+    >>> import pyarrow as pa
+    >>> from pyarrow import csv
+
+    >>> legs = pa.array([2, 4, 5, 100])
+    >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"])
+    >>> entry_date = pa.array(["01/03/2022", "02/03/2022",
+    ...                        "03/03/2022", "04/03/2022"])
+    >>> table = pa.table([animals, legs, entry_date],
+    ...                  names=["animals", "n_legs", "entry"])
+
+    >>> csv.write_csv(table, "animals.csv")
+
+    >>> write_options = csv.WriteOptions(include_header=False)
+    >>> csv.write_csv(table, "animals.csv", write_options=write_options)
+
+    >>> write_options = csv.WriteOptions(delimiter=";")
+    >>> csv.write_csv(table, "animals.csv", write_options=write_options)
+    """
+    cdef:
+        shared_ptr[COutputStream] stream
+        CCSVWriteOptions c_write_options
+        CMemoryPool* c_memory_pool
+        CRecordBatch* batch
+        CTable* table
+    _get_write_options(write_options, &c_write_options)
+
+    get_writer(output_file, &stream)
+    c_memory_pool = maybe_unbox_memory_pool(memory_pool)
+    c_write_options.io_context = CIOContext(c_memory_pool)
+    if isinstance(data, RecordBatch):
+        batch = pyarrow_unwrap_batch(data).get()
+        with nogil:
+            check_status(WriteCSV(deref(batch), c_write_options, stream.get()))
+    elif isinstance(data, Table):
+        table = pyarrow_unwrap_table(data).get()
+        with nogil:
+            check_status(WriteCSV(deref(table), c_write_options, stream.get()))
+    else:
+        raise TypeError(f"Expected Table or RecordBatch, got '{type(data)}'")
+
+
+cdef class CSVWriter(_CRecordBatchWriter):
+    """
+    Writer to create a CSV file.
+
+    Parameters
+    ----------
+    sink : str, path, pyarrow.OutputStream or file-like object
+        The location where to write the CSV data.
+    schema : pyarrow.Schema
+        The schema of the data to be written.
+    write_options : pyarrow.csv.WriteOptions
+        Options to configure writing the CSV data.
+    memory_pool : MemoryPool, optional
+        Pool for temporary allocations.
+    """
+
+    def __init__(self, sink, Schema schema, *,
+                 WriteOptions write_options=None, MemoryPool memory_pool=None):
+        cdef:
+            shared_ptr[COutputStream] c_stream
+            shared_ptr[CSchema] c_schema = pyarrow_unwrap_schema(schema)
+            CCSVWriteOptions c_write_options
+            CMemoryPool* c_memory_pool = maybe_unbox_memory_pool(memory_pool)
+        _get_write_options(write_options, &c_write_options)
+        c_write_options.io_context = CIOContext(c_memory_pool)
+        get_writer(sink, &c_stream)
+        with nogil:
+            self.writer = GetResultValue(MakeCSVWriter(
+                c_stream, c_schema, c_write_options))

env-llmeval/lib/python3.10/site-packages/pyarrow/_cuda.pxd

@@ -0,0 +1,67 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# cython: language_level = 3
+
+from pyarrow.lib cimport *
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libarrow cimport *
+from pyarrow.includes.libarrow_cuda cimport *
+
+
+cdef class Context(_Weakrefable):
+    cdef:
+        shared_ptr[CCudaContext] context
+        int device_number
+
+    cdef void init(self, const shared_ptr[CCudaContext]& ctx)
+
+
+cdef class IpcMemHandle(_Weakrefable):
+    cdef:
+        shared_ptr[CCudaIpcMemHandle] handle
+
+    cdef void init(self, shared_ptr[CCudaIpcMemHandle]& h)
+
+
+cdef class CudaBuffer(Buffer):
+    cdef:
+        shared_ptr[CCudaBuffer] cuda_buffer
+        object base
+
+    cdef void init_cuda(self,
+                        const shared_ptr[CCudaBuffer]& buffer,
+                        object base)
+
+
+cdef class HostBuffer(Buffer):
+    cdef:
+        shared_ptr[CCudaHostBuffer] host_buffer
+
+    cdef void init_host(self, const shared_ptr[CCudaHostBuffer]& buffer)
+
+
+cdef class BufferReader(NativeFile):
+    cdef:
+        CCudaBufferReader* reader
+        CudaBuffer buffer
+
+
+cdef class BufferWriter(NativeFile):
+    cdef:
+        CCudaBufferWriter* writer
+        CudaBuffer buffer

env-llmeval/lib/python3.10/site-packages/pyarrow/_dlpack.pxi

@@ -0,0 +1,46 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+cimport cpython
+from cpython.pycapsule cimport PyCapsule_New
+
+
+cdef void dlpack_pycapsule_deleter(object dltensor) noexcept:
+    cdef DLManagedTensor* dlm_tensor
+    cdef PyObject* err_type
+    cdef PyObject* err_value
+    cdef PyObject* err_traceback
+
+    # Do nothing if the capsule has been consumed
+    if cpython.PyCapsule_IsValid(dltensor, "used_dltensor"):
+        return
+
+    # An exception may be in-flight, we must save it in case
+    # we create another one
+    cpython.PyErr_Fetch(&err_type, &err_value, &err_traceback)
+
+    dlm_tensor = <DLManagedTensor*>cpython.PyCapsule_GetPointer(dltensor, 'dltensor')
+    if dlm_tensor == NULL:
+        cpython.PyErr_WriteUnraisable(dltensor)
+    # The deleter can be NULL if there is no way for the caller
+    # to provide a reasonable destructor
+    elif dlm_tensor.deleter:
+        dlm_tensor.deleter(dlm_tensor)
+        assert (not cpython.PyErr_Occurred())
+
+    # Set the error indicator from err_type, err_value, err_traceback
+    cpython.PyErr_Restore(err_type, err_value, err_traceback)

env-llmeval/lib/python3.10/site-packages/pyarrow/_hdfsio.pyx

@@ -0,0 +1,478 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# ----------------------------------------------------------------------
+# HDFS IO implementation
+
+# cython: language_level = 3
+
+import re
+
+from pyarrow.lib cimport check_status, _Weakrefable, NativeFile
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libarrow cimport *
+from pyarrow.includes.libarrow_fs cimport *
+from pyarrow.lib import frombytes, tobytes, ArrowIOError
+
+
+_HDFS_PATH_RE = re.compile(r'hdfs://(.*):(\d+)(.*)')
+
+
+def have_libhdfs():
+    try:
+        with nogil:
+            check_status(HaveLibHdfs())
+        return True
+    except Exception:
+        return False
+
+
+def strip_hdfs_abspath(path):
+    m = _HDFS_PATH_RE.match(path)
+    if m:
+        return m.group(3)
+    else:
+        return path
+
+
+cdef class HadoopFileSystem(_Weakrefable):
+    cdef:
+        shared_ptr[CIOHadoopFileSystem] client
+
+    cdef readonly:
+        bint is_open
+        object host
+        object user
+        object kerb_ticket
+        int port
+        dict extra_conf
+
+    def _connect(self, host, port, user, kerb_ticket, extra_conf):
+        cdef HdfsConnectionConfig conf
+
+        if host is not None:
+            conf.host = tobytes(host)
+        self.host = host
+
+        conf.port = port
+        self.port = port
+
+        if user is not None:
+            conf.user = tobytes(user)
+        self.user = user
+
+        if kerb_ticket is not None:
+            conf.kerb_ticket = tobytes(kerb_ticket)
+        self.kerb_ticket = kerb_ticket
+
+        with nogil:
+            check_status(HaveLibHdfs())
+
+        if extra_conf is not None and isinstance(extra_conf, dict):
+            conf.extra_conf = {tobytes(k): tobytes(v)
+                               for k, v in extra_conf.items()}
+        self.extra_conf = extra_conf
+
+        with nogil:
+            check_status(CIOHadoopFileSystem.Connect(&conf, &self.client))
+        self.is_open = True
+
+    @classmethod
+    def connect(cls, *args, **kwargs):
+        return cls(*args, **kwargs)
+
+    def __dealloc__(self):
+        if self.is_open:
+            self.close()
+
+    def close(self):
+        """
+        Disconnect from the HDFS cluster
+        """
+        self._ensure_client()
+        with nogil:
+            check_status(self.client.get().Disconnect())
+        self.is_open = False
+
+    cdef _ensure_client(self):
+        if self.client.get() == NULL:
+            raise IOError('HDFS client improperly initialized')
+        elif not self.is_open:
+            raise IOError('HDFS client is closed')
+
+    def exists(self, path):
+        """
+        Returns True if the path is known to the cluster, False if it does not
+        (or there is an RPC error)
+        """
+        self._ensure_client()
+
+        cdef c_string c_path = tobytes(path)
+        cdef c_bool result
+        with nogil:
+            result = self.client.get().Exists(c_path)
+        return result
+
+    def isdir(self, path):
+        cdef HdfsPathInfo info
+        try:
+            self._path_info(path, &info)
+        except ArrowIOError:
+            return False
+        return info.kind == ObjectType_DIRECTORY
+
+    def isfile(self, path):
+        cdef HdfsPathInfo info
+        try:
+            self._path_info(path, &info)
+        except ArrowIOError:
+            return False
+        return info.kind == ObjectType_FILE
+
+    def get_capacity(self):
+        """
+        Get reported total capacity of file system
+
+        Returns
+        -------
+        capacity : int
+        """
+        cdef int64_t capacity = 0
+        with nogil:
+            check_status(self.client.get().GetCapacity(&capacity))
+        return capacity
+
+    def get_space_used(self):
+        """
+        Get space used on file system
+
+        Returns
+        -------
+        space_used : int
+        """
+        cdef int64_t space_used = 0
+        with nogil:
+            check_status(self.client.get().GetUsed(&space_used))
+        return space_used
+
+    def df(self):
+        """
+        Return free space on disk, like the UNIX df command
+
+        Returns
+        -------
+        space : int
+        """
+        return self.get_capacity() - self.get_space_used()
+
+    def rename(self, path, new_path):
+        cdef c_string c_path = tobytes(path)
+        cdef c_string c_new_path = tobytes(new_path)
+        with nogil:
+            check_status(self.client.get().Rename(c_path, c_new_path))
+
+    def info(self, path):
+        """
+        Return detailed HDFS information for path
+
+        Parameters
+        ----------
+        path : string
+            Path to file or directory
+
+        Returns
+        -------
+        path_info : dict
+        """
+        cdef HdfsPathInfo info
+        self._path_info(path, &info)
+        return {
+            'path': frombytes(info.name),
+            'owner': frombytes(info.owner),
+            'group': frombytes(info.group),
+            'size': info.size,
+            'block_size': info.block_size,
+            'last_modified': info.last_modified_time,
+            'last_accessed': info.last_access_time,
+            'replication': info.replication,
+            'permissions': info.permissions,
+            'kind': ('directory' if info.kind == ObjectType_DIRECTORY
+                     else 'file')
+        }
+
+    def stat(self, path):
+        """
+        Return basic file system statistics about path
+
+        Parameters
+        ----------
+        path : string
+            Path to file or directory
+
+        Returns
+        -------
+        stat : dict
+        """
+        cdef FileStatistics info
+        cdef c_string c_path = tobytes(path)
+        with nogil:
+            check_status(self.client.get()
+                         .Stat(c_path, &info))
+        return {
+            'size': info.size,
+            'kind': ('directory' if info.kind == ObjectType_DIRECTORY
+                     else 'file')
+        }
+
+    cdef _path_info(self, path, HdfsPathInfo* info):
+        cdef c_string c_path = tobytes(path)
+
+        with nogil:
+            check_status(self.client.get()
+                         .GetPathInfo(c_path, info))
+
+    def ls(self, path, bint full_info):
+        cdef:
+            c_string c_path = tobytes(path)
+            vector[HdfsPathInfo] listing
+            list results = []
+            int i
+
+        self._ensure_client()
+
+        with nogil:
+            check_status(self.client.get()
+                         .ListDirectory(c_path, &listing))
+
+        cdef const HdfsPathInfo* info
+        for i in range(<int> listing.size()):
+            info = &listing[i]
+
+            # Try to trim off the hdfs://HOST:PORT piece
+            name = strip_hdfs_abspath(frombytes(info.name))
+
+            if full_info:
+                kind = ('file' if info.kind == ObjectType_FILE
+                        else 'directory')
+
+                results.append({
+                    'kind': kind,
+                    'name': name,
+                    'owner': frombytes(info.owner),
+                    'group': frombytes(info.group),
+                    'last_modified_time': info.last_modified_time,
+                    'last_access_time': info.last_access_time,
+                    'size': info.size,
+                    'replication': info.replication,
+                    'block_size': info.block_size,
+                    'permissions': info.permissions
+                })
+            else:
+                results.append(name)
+
+        return results
+
+    def chmod(self, path, mode):
+        """
+        Change file permissions
+
+        Parameters
+        ----------
+        path : string
+            absolute path to file or directory
+        mode : int
+            POSIX-like bitmask
+        """
+        self._ensure_client()
+        cdef c_string c_path = tobytes(path)
+        cdef int c_mode = mode
+        with nogil:
+            check_status(self.client.get()
+                         .Chmod(c_path, c_mode))
+
+    def chown(self, path, owner=None, group=None):
+        """
+        Change file permissions
+
+        Parameters
+        ----------
+        path : string
+            absolute path to file or directory
+        owner : string, default None
+            New owner, None for no change
+        group : string, default None
+            New group, None for no change
+        """
+        cdef:
+            c_string c_path
+            c_string c_owner
+            c_string c_group
+            const char* c_owner_ptr = NULL
+            const char* c_group_ptr = NULL
+
+        self._ensure_client()
+
+        c_path = tobytes(path)
+        if owner is not None:
+            c_owner = tobytes(owner)
+            c_owner_ptr = c_owner.c_str()
+
+        if group is not None:
+            c_group = tobytes(group)
+            c_group_ptr = c_group.c_str()
+
+        with nogil:
+            check_status(self.client.get()
+                         .Chown(c_path, c_owner_ptr, c_group_ptr))
+
+    def mkdir(self, path):
+        """
+        Create indicated directory and any necessary parent directories
+        """
+        self._ensure_client()
+        cdef c_string c_path = tobytes(path)
+        with nogil:
+            check_status(self.client.get()
+                         .MakeDirectory(c_path))
+
+    def delete(self, path, bint recursive=False):
+        """
+        Delete the indicated file or directory
+
+        Parameters
+        ----------
+        path : string
+        recursive : boolean, default False
+            If True, also delete child paths for directories
+        """
+        self._ensure_client()
+
+        cdef c_string c_path = tobytes(path)
+        with nogil:
+            check_status(self.client.get()
+                         .Delete(c_path, recursive == 1))
+
+    def open(self, path, mode='rb', buffer_size=None, replication=None,
+             default_block_size=None):
+        """
+        Open HDFS file for reading or writing
+
+        Parameters
+        ----------
+        mode : string
+            Must be one of 'rb', 'wb', 'ab'
+
+        Returns
+        -------
+        handle : HdfsFile
+        """
+        self._ensure_client()
+
+        cdef HdfsFile out = HdfsFile()
+
+        if mode not in ('rb', 'wb', 'ab'):
+            raise Exception("Mode must be 'rb' (read), "
+                            "'wb' (write, new file), or 'ab' (append)")
+
+        cdef c_string c_path = tobytes(path)
+        cdef c_bool append = False
+
+        # 0 in libhdfs means "use the default"
+        cdef int32_t c_buffer_size = buffer_size or 0
+        cdef int16_t c_replication = replication or 0
+        cdef int64_t c_default_block_size = default_block_size or 0
+
+        cdef shared_ptr[HdfsOutputStream] wr_handle
+        cdef shared_ptr[HdfsReadableFile] rd_handle
+
+        if mode in ('wb', 'ab'):
+            if mode == 'ab':
+                append = True
+
+            with nogil:
+                check_status(
+                    self.client.get()
+                    .OpenWritable(c_path, append, c_buffer_size,
+                                  c_replication, c_default_block_size,
+                                  &wr_handle))
+
+            out.set_output_stream(<shared_ptr[COutputStream]> wr_handle)
+            out.is_writable = True
+        else:
+            with nogil:
+                check_status(self.client.get()
+                             .OpenReadable(c_path, &rd_handle))
+
+            out.set_random_access_file(
+                <shared_ptr[CRandomAccessFile]> rd_handle)
+            out.is_readable = True
+
+        assert not out.closed
+
+        if c_buffer_size == 0:
+            c_buffer_size = 2 ** 16
+
+        out.mode = mode
+        out.buffer_size = c_buffer_size
+        out.parent = _HdfsFileNanny(self, out)
+        out.own_file = True
+
+        return out
+
+    def download(self, path, stream, buffer_size=None):
+        with self.open(path, 'rb') as f:
+            f.download(stream, buffer_size=buffer_size)
+
+    def upload(self, path, stream, buffer_size=None):
+        """
+        Upload file-like object to HDFS path
+        """
+        with self.open(path, 'wb') as f:
+            f.upload(stream, buffer_size=buffer_size)
+
+
+# ARROW-404: Helper class to ensure that files are closed before the
+# client. During deallocation of the extension class, the attributes are
+# decref'd which can cause the client to get closed first if the file has the
+# last remaining reference
+cdef class _HdfsFileNanny(_Weakrefable):
+    cdef:
+        object client
+        object file_handle_ref
+
+    def __cinit__(self, client, file_handle):
+        import weakref
+        self.client = client
+        self.file_handle_ref = weakref.ref(file_handle)
+
+    def __dealloc__(self):
+        fh = self.file_handle_ref()
+        if fh:
+            fh.close()
+        # avoid cyclic GC
+        self.file_handle_ref = None
+        self.client = None
+
+
+cdef class HdfsFile(NativeFile):
+    cdef readonly:
+        int32_t buffer_size
+        object mode
+        object parent
+
+    def __dealloc__(self):
+        self.parent = None

env-llmeval/lib/python3.10/site-packages/pyarrow/_json.pxd

@@ -0,0 +1,36 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# cython: language_level = 3
+
+from pyarrow.includes.libarrow cimport *
+from pyarrow.lib cimport _Weakrefable
+
+
+cdef class ParseOptions(_Weakrefable):
+    cdef:
+        CJSONParseOptions options
+
+    @staticmethod
+    cdef ParseOptions wrap(CJSONParseOptions options)
+
+cdef class ReadOptions(_Weakrefable):
+    cdef:
+        CJSONReadOptions options
+
+    @staticmethod
+    cdef ReadOptions wrap(CJSONReadOptions options)

env-llmeval/lib/python3.10/site-packages/pyarrow/_parquet_encryption.pxd

@@ -0,0 +1,56 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# distutils: language = c++
+# cython: language_level = 3
+
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libparquet_encryption cimport *
+from pyarrow._parquet cimport (ParquetCipher,
+                               CFileEncryptionProperties,
+                               CFileDecryptionProperties,
+                               FileEncryptionProperties,
+                               FileDecryptionProperties,
+                               ParquetCipher_AES_GCM_V1,
+                               ParquetCipher_AES_GCM_CTR_V1)
+from pyarrow.lib cimport _Weakrefable
+
+cdef class CryptoFactory(_Weakrefable):
+    cdef shared_ptr[CPyCryptoFactory] factory
+    cdef init(self, callable_client_factory)
+    cdef inline shared_ptr[CPyCryptoFactory] unwrap(self)
+
+cdef class EncryptionConfiguration(_Weakrefable):
+    cdef shared_ptr[CEncryptionConfiguration] configuration
+    cdef inline shared_ptr[CEncryptionConfiguration] unwrap(self) nogil
+
+cdef class DecryptionConfiguration(_Weakrefable):
+    cdef shared_ptr[CDecryptionConfiguration] configuration
+    cdef inline shared_ptr[CDecryptionConfiguration] unwrap(self) nogil
+
+cdef class KmsConnectionConfig(_Weakrefable):
+    cdef shared_ptr[CKmsConnectionConfig] configuration
+    cdef inline shared_ptr[CKmsConnectionConfig] unwrap(self) nogil
+
+    @staticmethod
+    cdef wrap(const CKmsConnectionConfig& config)
+
+
+cdef shared_ptr[CCryptoFactory] pyarrow_unwrap_cryptofactory(object crypto_factory) except *
+cdef shared_ptr[CKmsConnectionConfig] pyarrow_unwrap_kmsconnectionconfig(object kmsconnectionconfig) except *
+cdef shared_ptr[CEncryptionConfiguration] pyarrow_unwrap_encryptionconfig(object encryptionconfig) except *
+cdef shared_ptr[CDecryptionConfiguration] pyarrow_unwrap_decryptionconfig(object decryptionconfig) except *

env-llmeval/lib/python3.10/site-packages/pyarrow/_pyarrow_cpp_tests.pxd

@@ -0,0 +1,33 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# distutils: language = c++
+# cython: language_level = 3
+
+from pyarrow.includes.common cimport *
+from pyarrow.includes.libarrow cimport CStatus
+
+
+ctypedef CStatus cb_test_func()
+
+cdef extern from "arrow/python/python_test.h" namespace "arrow::py::testing" nogil:
+
+    cdef cppclass CTestCase "arrow::py::testing::TestCase":
+        c_string name
+        cb_test_func func
+
+    vector[CTestCase] GetCppTestCases()