diff --git a/env-llmeval/lib/python3.10/site-packages/_multiprocess/__init__.py b/env-llmeval/lib/python3.10/site-packages/_multiprocess/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..085958182e2246471e6d6f655ff00b6e37e3e99a --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/_multiprocess/__init__.py @@ -0,0 +1,8 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/multiprocess/blob/master/LICENSE + +from _multiprocessing import * diff --git a/env-llmeval/lib/python3.10/site-packages/_multiprocess/__pycache__/__init__.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/_multiprocess/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..95d891967392a92489b9f2ccdf58f2cf5a75dda8 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/_multiprocess/__pycache__/__init__.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/INSTALLER b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/LICENSE.rst b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/LICENSE.rst new file mode 100644 index 0000000000000000000000000000000000000000..d12a849186982399c537c5b9a8fd77bf2edd5eab --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/LICENSE.rst @@ -0,0 +1,28 @@ +Copyright 2014 Pallets + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. 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. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A +PARTICULAR PURPOSE ARE DISCLAIMED. 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. diff --git a/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/METADATA b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..7a6bbb24b5f05575ac0263dd7fb24e0f0180d641 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/METADATA @@ -0,0 +1,103 @@ +Metadata-Version: 2.1 +Name: click +Version: 8.1.7 +Summary: Composable command line interface toolkit +Home-page: https://palletsprojects.com/p/click/ +Maintainer: Pallets +Maintainer-email: contact@palletsprojects.com +License: BSD-3-Clause +Project-URL: Donate, https://palletsprojects.com/donate +Project-URL: Documentation, https://click.palletsprojects.com/ +Project-URL: Changes, https://click.palletsprojects.com/changes/ +Project-URL: Source Code, https://github.com/pallets/click/ +Project-URL: Issue Tracker, https://github.com/pallets/click/issues/ +Project-URL: Chat, https://discord.gg/pallets +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: BSD License +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Requires-Python: >=3.7 +Description-Content-Type: text/x-rst +License-File: LICENSE.rst +Requires-Dist: colorama ; platform_system == "Windows" +Requires-Dist: importlib-metadata ; python_version < "3.8" + +\$ click\_ +========== + +Click is a Python package for creating beautiful command line interfaces +in a composable way with as little code as necessary. It's the "Command +Line Interface Creation Kit". It's highly configurable but comes with +sensible defaults out of the box. + +It aims to make the process of writing command line tools quick and fun +while also preventing any frustration caused by the inability to +implement an intended CLI API. + +Click in three points: + +- Arbitrary nesting of commands +- Automatic help page generation +- Supports lazy loading of subcommands at runtime + + +Installing +---------- + +Install and update using `pip`_: + +.. code-block:: text + + $ pip install -U click + +.. _pip: https://pip.pypa.io/en/stable/getting-started/ + + +A Simple Example +---------------- + +.. code-block:: python + + import click + + @click.command() + @click.option("--count", default=1, help="Number of greetings.") + @click.option("--name", prompt="Your name", help="The person to greet.") + def hello(count, name): + """Simple program that greets NAME for a total of COUNT times.""" + for _ in range(count): + click.echo(f"Hello, {name}!") + + if __name__ == '__main__': + hello() + +.. code-block:: text + + $ python hello.py --count=3 + Your name: Click + Hello, Click! + Hello, Click! + Hello, Click! + + +Donate +------ + +The Pallets organization develops and supports Click and other popular +packages. In order to grow the community of contributors and users, and +allow the maintainers to devote more time to the projects, `please +donate today`_. + +.. _please donate today: https://palletsprojects.com/donate + + +Links +----- + +- Documentation: https://click.palletsprojects.com/ +- Changes: https://click.palletsprojects.com/changes/ +- PyPI Releases: https://pypi.org/project/click/ +- Source Code: https://github.com/pallets/click +- Issue Tracker: https://github.com/pallets/click/issues +- Chat: https://discord.gg/pallets diff --git a/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/RECORD b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..3ff0797f24afc6c01cfe6f7ce28a568a883c2a9a --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/click-8.1.7.dist-info/RECORD @@ -0,0 +1,39 @@ +click-8.1.7.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 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files /dev/null and b/env-llmeval/lib/python3.10/site-packages/datasets/commands/__pycache__/test.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/features/__init__.py b/env-llmeval/lib/python3.10/site-packages/datasets/features/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..65ae879a2bb7ffbd7f142c97e4558c8f25a51b6a --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/features/__init__.py @@ -0,0 +1,20 @@ +# ruff: noqa + +__all__ = [ + "Audio", + "Array2D", + "Array3D", + "Array4D", + "Array5D", + "ClassLabel", + "Features", + "Sequence", + "Value", + "Image", + "Translation", + "TranslationVariableLanguages", +] +from .audio import Audio +from .features import Array2D, Array3D, Array4D, Array5D, ClassLabel, Features, Sequence, Value +from .image import Image +from .translation import Translation, TranslationVariableLanguages diff --git 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..utils.py_utils import no_op_if_value_is_null, string_to_dict + + +if TYPE_CHECKING: + from .features import FeatureType + + +@dataclass +class Audio: + """Audio [`Feature`] to extract audio data from an audio file. + + Input: The Audio feature accepts as input: + - A `str`: Absolute path to the audio file (i.e. random access is allowed). + - A `dict` with the keys: + + - `path`: String with relative path of the audio file to the archive file. + - `bytes`: Bytes content of the audio file. + + This is useful for archived files with sequential access. + + - A `dict` with the keys: + + - `path`: String with relative path of the audio file to the archive file. + - `array`: Array containing the audio sample + - `sampling_rate`: Integer corresponding to the sampling rate of the audio sample. + + This is useful for archived files with sequential access. + + Args: + sampling_rate (`int`, *optional*): + Target sampling rate. If `None`, the native sampling rate is used. + mono (`bool`, defaults to `True`): + Whether to convert the audio signal to mono by averaging samples across + channels. + decode (`bool`, defaults to `True`): + Whether to decode the audio data. If `False`, + returns the underlying dictionary in the format `{"path": audio_path, "bytes": audio_bytes}`. + + Example: + + ```py + >>> from datasets import load_dataset, Audio + >>> ds = load_dataset("PolyAI/minds14", name="en-US", split="train") + >>> ds = ds.cast_column("audio", Audio(sampling_rate=16000)) + >>> ds[0]["audio"] + {'array': array([ 2.3443763e-05, 2.1729663e-04, 2.2145823e-04, ..., + 3.8356509e-05, -7.3497440e-06, -2.1754686e-05], dtype=float32), + 'path': '/root/.cache/huggingface/datasets/downloads/extracted/f14948e0e84be638dd7943ac36518a4cf3324e8b7aa331c5ab11541518e9368c/en-US~JOINT_ACCOUNT/602ba55abb1e6d0fbce92065.wav', + 'sampling_rate': 16000} + ``` + """ + + sampling_rate: Optional[int] = None + mono: bool = True + decode: bool = True + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "dict" + pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()}) + _type: str = field(default="Audio", init=False, repr=False) + + def __call__(self): + return self.pa_type + + def encode_example(self, value: Union[str, bytes, dict]) -> dict: + """Encode example into a format for Arrow. + + Args: + value (`str` or `dict`): + Data passed as input to Audio feature. + + Returns: + `dict` + """ + try: + import soundfile as sf # soundfile is a dependency of librosa, needed to decode audio files. + except ImportError as err: + raise ImportError("To support encoding audio data, please install 'soundfile'.") from err + if isinstance(value, str): + return {"bytes": None, "path": value} + elif isinstance(value, bytes): + return {"bytes": value, "path": None} + elif "array" in value: + # convert the audio array to wav bytes + buffer = BytesIO() + sf.write(buffer, value["array"], value["sampling_rate"], format="wav") + return {"bytes": buffer.getvalue(), "path": None} + elif value.get("path") is not None and os.path.isfile(value["path"]): + # we set "bytes": None to not duplicate the data if they're already available locally + if value["path"].endswith("pcm"): + # "PCM" only has raw audio bytes + if value.get("sampling_rate") is None: + # At least, If you want to convert "PCM-byte" to "WAV-byte", you have to know sampling rate + raise KeyError("To use PCM files, please specify a 'sampling_rate' in Audio object") + if value.get("bytes"): + # If we already had PCM-byte, we don`t have to make "read file, make bytes" (just use it!) + bytes_value = np.frombuffer(value["bytes"], dtype=np.int16).astype(np.float32) / 32767 + else: + bytes_value = np.memmap(value["path"], dtype="h", mode="r").astype(np.float32) / 32767 + + buffer = BytesIO(bytes()) + sf.write(buffer, bytes_value, value["sampling_rate"], format="wav") + return {"bytes": buffer.getvalue(), "path": None} + else: + return {"bytes": None, "path": value.get("path")} + elif value.get("bytes") is not None or value.get("path") is not None: + # store the audio bytes, and path is used to infer the audio format using the file extension + return {"bytes": value.get("bytes"), "path": value.get("path")} + else: + raise ValueError( + f"An audio sample should have one of 'path' or 'bytes' but they are missing or None in {value}." + ) + + def decode_example( + self, value: dict, token_per_repo_id: Optional[Dict[str, Union[str, bool, None]]] = None + ) -> dict: + """Decode example audio file into audio data. + + Args: + value (`dict`): + A dictionary with keys: + + - `path`: String with relative audio file path. + - `bytes`: Bytes of the audio file. + token_per_repo_id (`dict`, *optional*): + To access and decode + audio files from private repositories on the Hub, you can pass + a dictionary repo_id (`str`) -> token (`bool` or `str`) + + Returns: + `dict` + """ + if not self.decode: + raise RuntimeError("Decoding is disabled for this feature. Please use Audio(decode=True) instead.") + + path, file = (value["path"], BytesIO(value["bytes"])) if value["bytes"] is not None else (value["path"], None) + if path is None and file is None: + raise ValueError(f"An audio sample should have one of 'path' or 'bytes' but both are None in {value}.") + + try: + import librosa + import soundfile as sf + except ImportError as err: + raise ImportError("To support decoding audio files, please install 'librosa' and 'soundfile'.") from err + + audio_format = xsplitext(path)[1][1:].lower() if path is not None else None + if not config.IS_OPUS_SUPPORTED and audio_format == "opus": + raise RuntimeError( + "Decoding 'opus' files requires system library 'libsndfile'>=1.0.31, " + 'You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. ' + ) + elif not config.IS_MP3_SUPPORTED and audio_format == "mp3": + raise RuntimeError( + "Decoding 'mp3' files requires system library 'libsndfile'>=1.1.0, " + 'You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. ' + ) + + if file is None: + token_per_repo_id = token_per_repo_id or {} + source_url = path.split("::")[-1] + pattern = ( + config.HUB_DATASETS_URL if source_url.startswith(config.HF_ENDPOINT) else config.HUB_DATASETS_HFFS_URL + ) + try: + repo_id = string_to_dict(source_url, pattern)["repo_id"] + token = token_per_repo_id[repo_id] + except (ValueError, KeyError): + token = None + + download_config = DownloadConfig(token=token) + with xopen(path, "rb", download_config=download_config) as f: + array, sampling_rate = sf.read(f) + + else: + array, sampling_rate = sf.read(file) + + array = array.T + if self.mono: + array = librosa.to_mono(array) + if self.sampling_rate and self.sampling_rate != sampling_rate: + array = librosa.resample(array, orig_sr=sampling_rate, target_sr=self.sampling_rate) + sampling_rate = self.sampling_rate + + return {"path": path, "array": array, "sampling_rate": sampling_rate} + + def flatten(self) -> Union["FeatureType", Dict[str, "FeatureType"]]: + """If in the decodable state, raise an error, otherwise flatten the feature into a dictionary.""" + from .features import Value + + if self.decode: + raise ValueError("Cannot flatten a decoded Audio feature.") + return { + "bytes": Value("binary"), + "path": Value("string"), + } + + def cast_storage(self, storage: Union[pa.StringArray, pa.StructArray]) -> pa.StructArray: + """Cast an Arrow array to the Audio arrow storage type. + The Arrow types that can be converted to the Audio pyarrow storage type are: + + - `pa.string()` - it must contain the "path" data + - `pa.binary()` - it must contain the audio bytes + - `pa.struct({"bytes": pa.binary()})` + - `pa.struct({"path": pa.string()})` + - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter + + Args: + storage (`Union[pa.StringArray, pa.StructArray]`): + PyArrow array to cast. + + Returns: + `pa.StructArray`: Array in the Audio arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})` + """ + if pa.types.is_string(storage.type): + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + storage = pa.StructArray.from_arrays([bytes_array, storage], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_binary(storage.type): + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([storage, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_struct(storage.type) and storage.type.get_all_field_indices("array"): + storage = pa.array([Audio().encode_example(x) if x is not None else None for x in storage.to_pylist()]) + elif pa.types.is_struct(storage.type): + if storage.type.get_field_index("bytes") >= 0: + bytes_array = storage.field("bytes") + else: + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + if storage.type.get_field_index("path") >= 0: + path_array = storage.field("path") + else: + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=storage.is_null()) + return array_cast(storage, self.pa_type) + + def embed_storage(self, storage: pa.StructArray) -> pa.StructArray: + """Embed audio files into the Arrow array. + + Args: + storage (`pa.StructArray`): + PyArrow array to embed. + + Returns: + `pa.StructArray`: Array in the Audio arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + + @no_op_if_value_is_null + def path_to_bytes(path): + with xopen(path, "rb") as f: + bytes_ = f.read() + return bytes_ + + bytes_array = pa.array( + [ + (path_to_bytes(x["path"]) if x["bytes"] is None else x["bytes"]) if x is not None else None + for x in storage.to_pylist() + ], + type=pa.binary(), + ) + path_array = pa.array( + [os.path.basename(path) if path is not None else None for path in storage.field("path").to_pylist()], + type=pa.string(), + ) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null()) + return array_cast(storage, self.pa_type) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/features/features.py b/env-llmeval/lib/python3.10/site-packages/datasets/features/features.py new file mode 100644 index 0000000000000000000000000000000000000000..c2c7d8ff17e47fa564c03908c99410ed88c4ef97 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/features/features.py @@ -0,0 +1,2167 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed 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. + +# Lint as: python3 +"""This class handle features definition in datasets and some utilities to display table type.""" + +import copy +import json +import re +import sys +from collections.abc import Iterable, Mapping +from collections.abc import Sequence as SequenceABC +from dataclasses import InitVar, dataclass, field, fields +from functools import reduce, wraps +from operator import mul +from typing import Any, Callable, ClassVar, Dict, List, Optional, Tuple, Union +from typing import Sequence as Sequence_ + +import numpy as np +import pandas as pd +import pyarrow as pa +import pyarrow.compute as pc +import pyarrow.types +import pyarrow_hotfix # noqa: F401 # to fix vulnerability on pyarrow<14.0.1 +from pandas.api.extensions import ExtensionArray as PandasExtensionArray +from pandas.api.extensions import ExtensionDtype as PandasExtensionDtype + +from .. import config +from ..naming import camelcase_to_snakecase, snakecase_to_camelcase +from ..table import array_cast +from ..utils import logging +from ..utils.py_utils import asdict, first_non_null_value, zip_dict +from .audio import Audio +from .image import Image, encode_pil_image +from .translation import Translation, TranslationVariableLanguages + + +logger = logging.get_logger(__name__) + + +def _arrow_to_datasets_dtype(arrow_type: pa.DataType) -> str: + """ + _arrow_to_datasets_dtype takes a pyarrow.DataType and converts it to a datasets string dtype. + In effect, `dt == string_to_arrow(_arrow_to_datasets_dtype(dt))` + """ + if pyarrow.types.is_null(arrow_type): + return "null" + elif pyarrow.types.is_boolean(arrow_type): + return "bool" + elif pyarrow.types.is_int8(arrow_type): + return "int8" + elif pyarrow.types.is_int16(arrow_type): + return "int16" + elif pyarrow.types.is_int32(arrow_type): + return "int32" + elif pyarrow.types.is_int64(arrow_type): + return "int64" + elif pyarrow.types.is_uint8(arrow_type): + return "uint8" + elif pyarrow.types.is_uint16(arrow_type): + return "uint16" + elif pyarrow.types.is_uint32(arrow_type): + return "uint32" + elif pyarrow.types.is_uint64(arrow_type): + return "uint64" + elif pyarrow.types.is_float16(arrow_type): + return "float16" # pyarrow dtype is "halffloat" + elif pyarrow.types.is_float32(arrow_type): + return "float32" # pyarrow dtype is "float" + elif pyarrow.types.is_float64(arrow_type): + return "float64" # pyarrow dtype is "double" + elif pyarrow.types.is_time32(arrow_type): + return f"time32[{pa.type_for_alias(str(arrow_type)).unit}]" + elif pyarrow.types.is_time64(arrow_type): + return f"time64[{pa.type_for_alias(str(arrow_type)).unit}]" + elif pyarrow.types.is_timestamp(arrow_type): + if arrow_type.tz is None: + return f"timestamp[{arrow_type.unit}]" + elif arrow_type.tz: + return f"timestamp[{arrow_type.unit}, tz={arrow_type.tz}]" + else: + raise ValueError(f"Unexpected timestamp object {arrow_type}.") + elif pyarrow.types.is_date32(arrow_type): + return "date32" # pyarrow dtype is "date32[day]" + elif pyarrow.types.is_date64(arrow_type): + return "date64" # pyarrow dtype is "date64[ms]" + elif pyarrow.types.is_duration(arrow_type): + return f"duration[{arrow_type.unit}]" + elif pyarrow.types.is_decimal128(arrow_type): + return f"decimal128({arrow_type.precision}, {arrow_type.scale})" + elif pyarrow.types.is_decimal256(arrow_type): + return f"decimal256({arrow_type.precision}, {arrow_type.scale})" + elif pyarrow.types.is_binary(arrow_type): + return "binary" + elif pyarrow.types.is_large_binary(arrow_type): + return "large_binary" + elif pyarrow.types.is_string(arrow_type): + return "string" + elif pyarrow.types.is_large_string(arrow_type): + return "large_string" + else: + raise ValueError(f"Arrow type {arrow_type} does not have a datasets dtype equivalent.") + + +def string_to_arrow(datasets_dtype: str) -> pa.DataType: + """ + string_to_arrow takes a datasets string dtype and converts it to a pyarrow.DataType. + + In effect, `dt == string_to_arrow(_arrow_to_datasets_dtype(dt))` + + This is necessary because the datasets.Value() primitive type is constructed using a string dtype + + Value(dtype=str) + + But Features.type (via `get_nested_type()` expects to resolve Features into a pyarrow Schema, + which means that each Value() must be able to resolve into a corresponding pyarrow.DataType, which is the + purpose of this function. + """ + + def _dtype_error_msg(dtype, pa_dtype, examples=None, urls=None): + msg = f"{dtype} is not a validly formatted string representation of the pyarrow {pa_dtype} type." + if examples: + examples = ", ".join(examples[:-1]) + " or " + examples[-1] if len(examples) > 1 else examples[0] + msg += f"\nValid examples include: {examples}." + if urls: + urls = ", ".join(urls[:-1]) + " and " + urls[-1] if len(urls) > 1 else urls[0] + msg += f"\nFor more insformation, see: {urls}." + return msg + + if datasets_dtype in pa.__dict__: + return pa.__dict__[datasets_dtype]() + + if (datasets_dtype + "_") in pa.__dict__: + return pa.__dict__[datasets_dtype + "_"]() + + timestamp_matches = re.search(r"^timestamp\[(.*)\]$", datasets_dtype) + if timestamp_matches: + timestamp_internals = timestamp_matches.group(1) + internals_matches = re.search(r"^(s|ms|us|ns),\s*tz=([a-zA-Z0-9/_+\-:]*)$", timestamp_internals) + if timestamp_internals in ["s", "ms", "us", "ns"]: + return pa.timestamp(timestamp_internals) + elif internals_matches: + return pa.timestamp(internals_matches.group(1), internals_matches.group(2)) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "timestamp", + examples=["timestamp[us]", "timestamp[us, tz=America/New_York"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.timestamp.html"], + ) + ) + + duration_matches = re.search(r"^duration\[(.*)\]$", datasets_dtype) + if duration_matches: + duration_internals = duration_matches.group(1) + if duration_internals in ["s", "ms", "us", "ns"]: + return pa.duration(duration_internals) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "duration", + examples=["duration[s]", "duration[us]"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.duration.html"], + ) + ) + + time_matches = re.search(r"^time(.*)\[(.*)\]$", datasets_dtype) + if time_matches: + time_internals_bits = time_matches.group(1) + if time_internals_bits == "32": + time_internals_unit = time_matches.group(2) + if time_internals_unit in ["s", "ms"]: + return pa.time32(time_internals_unit) + else: + raise ValueError( + f"{time_internals_unit} is not a valid unit for the pyarrow time32 type. Supported units: s (second) and ms (millisecond)." + ) + elif time_internals_bits == "64": + time_internals_unit = time_matches.group(2) + if time_internals_unit in ["us", "ns"]: + return pa.time64(time_internals_unit) + else: + raise ValueError( + f"{time_internals_unit} is not a valid unit for the pyarrow time64 type. Supported units: us (microsecond) and ns (nanosecond)." + ) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "time", + examples=["time32[s]", "time64[us]"], + urls=[ + "https://arrow.apache.org/docs/python/generated/pyarrow.time32.html", + "https://arrow.apache.org/docs/python/generated/pyarrow.time64.html", + ], + ) + ) + + decimal_matches = re.search(r"^decimal(.*)\((.*)\)$", datasets_dtype) + if decimal_matches: + decimal_internals_bits = decimal_matches.group(1) + if decimal_internals_bits == "128": + decimal_internals_precision_and_scale = re.search(r"^(\d+),\s*(-?\d+)$", decimal_matches.group(2)) + if decimal_internals_precision_and_scale: + precision = decimal_internals_precision_and_scale.group(1) + scale = decimal_internals_precision_and_scale.group(2) + return pa.decimal128(int(precision), int(scale)) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "decimal128", + examples=["decimal128(10, 2)", "decimal128(4, -2)"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.decimal128.html"], + ) + ) + elif decimal_internals_bits == "256": + decimal_internals_precision_and_scale = re.search(r"^(\d+),\s*(-?\d+)$", decimal_matches.group(2)) + if decimal_internals_precision_and_scale: + precision = decimal_internals_precision_and_scale.group(1) + scale = decimal_internals_precision_and_scale.group(2) + return pa.decimal256(int(precision), int(scale)) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "decimal256", + examples=["decimal256(30, 2)", "decimal256(38, -4)"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.decimal256.html"], + ) + ) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "decimal", + examples=["decimal128(12, 3)", "decimal256(40, 6)"], + urls=[ + "https://arrow.apache.org/docs/python/generated/pyarrow.decimal128.html", + "https://arrow.apache.org/docs/python/generated/pyarrow.decimal256.html", + ], + ) + ) + + raise ValueError( + f"Neither {datasets_dtype} nor {datasets_dtype + '_'} seems to be a pyarrow data type. " + f"Please make sure to use a correct data type, see: " + f"https://arrow.apache.org/docs/python/api/datatypes.html#factory-functions" + ) + + +def _cast_to_python_objects(obj: Any, only_1d_for_numpy: bool, optimize_list_casting: bool) -> Tuple[Any, bool]: + """ + Cast pytorch/tensorflow/pandas objects to python numpy array/lists. + It works recursively. + + If `optimize_list_casting` is True, to avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be casted. + If the first element needs to be casted, then all the elements of the list will be casted, otherwise they'll stay the same. + This trick allows to cast objects that contain tokenizers outputs without iterating over every single token for example. + + Args: + obj: the object (nested struct) to cast. + only_1d_for_numpy (bool): whether to keep the full multi-dim tensors as multi-dim numpy arrays, or convert them to + nested lists of 1-dimensional numpy arrays. This can be useful to keep only 1-d arrays to instantiate Arrow arrays. + Indeed Arrow only support converting 1-dimensional array values. + optimize_list_casting (bool): whether to optimize list casting by checking the first non-null element to see if it needs to be casted + and if it doesn't, not checking the rest of the list elements. + + Returns: + casted_obj: the casted object + has_changed (bool): True if the object has been changed, False if it is identical + """ + + if config.TF_AVAILABLE and "tensorflow" in sys.modules: + import tensorflow as tf + + if config.TORCH_AVAILABLE and "torch" in sys.modules: + import torch + + if config.JAX_AVAILABLE and "jax" in sys.modules: + import jax.numpy as jnp + + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + if isinstance(obj, np.ndarray): + if obj.ndim == 0: + return obj[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return obj, False + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in obj + ], + True, + ) + elif config.TORCH_AVAILABLE and "torch" in sys.modules and isinstance(obj, torch.Tensor): + if obj.ndim == 0: + return obj.detach().cpu().numpy()[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return obj.detach().cpu().numpy(), True + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in obj.detach().cpu().numpy() + ], + True, + ) + elif config.TF_AVAILABLE and "tensorflow" in sys.modules and isinstance(obj, tf.Tensor): + if obj.ndim == 0: + return obj.numpy()[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return obj.numpy(), True + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in obj.numpy() + ], + True, + ) + elif config.JAX_AVAILABLE and "jax" in sys.modules and isinstance(obj, jnp.ndarray): + if obj.ndim == 0: + return np.asarray(obj)[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return np.asarray(obj), True + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in np.asarray(obj) + ], + True, + ) + elif config.PIL_AVAILABLE and "PIL" in sys.modules and isinstance(obj, PIL.Image.Image): + return encode_pil_image(obj), True + elif isinstance(obj, pd.Series): + return ( + _cast_to_python_objects( + obj.tolist(), only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0], + True, + ) + elif isinstance(obj, pd.DataFrame): + return ( + { + key: _cast_to_python_objects( + value, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for key, value in obj.to_dict("series").items() + }, + True, + ) + elif isinstance(obj, pd.Timestamp): + return obj.to_pydatetime(), True + elif isinstance(obj, pd.Timedelta): + return obj.to_pytimedelta(), True + elif isinstance(obj, Mapping): + has_changed = not isinstance(obj, dict) + output = {} + for k, v in obj.items(): + casted_v, has_changed_v = _cast_to_python_objects( + v, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + ) + has_changed |= has_changed_v + output[k] = casted_v + return output if has_changed else obj, has_changed + elif hasattr(obj, "__array__"): + return ( + _cast_to_python_objects( + obj.__array__(), only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0], + True, + ) + elif isinstance(obj, (list, tuple)): + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt): + break + casted_first_elmt, has_changed_first_elmt = _cast_to_python_objects( + first_elmt, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + ) + if has_changed_first_elmt or not optimize_list_casting: + return ( + [ + _cast_to_python_objects( + elmt, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for elmt in obj + ], + True, + ) + else: + if isinstance(obj, (list, tuple)): + return obj, False + else: + return list(obj), True + else: + return obj, False + else: + return obj, False + + +def cast_to_python_objects(obj: Any, only_1d_for_numpy=False, optimize_list_casting=True) -> Any: + """ + Cast numpy/pytorch/tensorflow/pandas objects to python lists. + It works recursively. + + If `optimize_list_casting` is True, To avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be casted. + If the first element needs to be casted, then all the elements of the list will be casted, otherwise they'll stay the same. + This trick allows to cast objects that contain tokenizers outputs without iterating over every single token for example. + + Args: + obj: the object (nested struct) to cast + only_1d_for_numpy (bool, default ``False``): whether to keep the full multi-dim tensors as multi-dim numpy arrays, or convert them to + nested lists of 1-dimensional numpy arrays. This can be useful to keep only 1-d arrays to instantiate Arrow arrays. + Indeed Arrow only support converting 1-dimensional array values. + optimize_list_casting (bool, default ``True``): whether to optimize list casting by checking the first non-null element to see if it needs to be casted + and if it doesn't, not checking the rest of the list elements. + + Returns: + casted_obj: the casted object + """ + return _cast_to_python_objects( + obj, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + + +@dataclass +class Value: + """ + The `Value` dtypes are as follows: + + - `null` + - `bool` + - `int8` + - `int16` + - `int32` + - `int64` + - `uint8` + - `uint16` + - `uint32` + - `uint64` + - `float16` + - `float32` (alias float) + - `float64` (alias double) + - `time32[(s|ms)]` + - `time64[(us|ns)]` + - `timestamp[(s|ms|us|ns)]` + - `timestamp[(s|ms|us|ns), tz=(tzstring)]` + - `date32` + - `date64` + - `duration[(s|ms|us|ns)]` + - `decimal128(precision, scale)` + - `decimal256(precision, scale)` + - `binary` + - `large_binary` + - `string` + - `large_string` + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'stars': Value(dtype='int32')}) + >>> features + {'stars': Value(dtype='int32', id=None)} + ``` + """ + + dtype: str + id: Optional[str] = None + # Automatically constructed + pa_type: ClassVar[Any] = None + _type: str = field(default="Value", init=False, repr=False) + + def __post_init__(self): + if self.dtype == "double": # fix inferred type + self.dtype = "float64" + if self.dtype == "float": # fix inferred type + self.dtype = "float32" + self.pa_type = string_to_arrow(self.dtype) + + def __call__(self): + return self.pa_type + + def encode_example(self, value): + if pa.types.is_boolean(self.pa_type): + return bool(value) + elif pa.types.is_integer(self.pa_type): + return int(value) + elif pa.types.is_floating(self.pa_type): + return float(value) + elif pa.types.is_string(self.pa_type): + return str(value) + else: + return value + + +class _ArrayXD: + def __post_init__(self): + self.shape = tuple(self.shape) + + def __call__(self): + pa_type = globals()[self.__class__.__name__ + "ExtensionType"](self.shape, self.dtype) + return pa_type + + def encode_example(self, value): + return value + + +@dataclass +class Array2D(_ArrayXD): + """Create a two-dimensional array. + + Args: + shape (`tuple`): + The size of each dimension. + dtype (`str`): + The value of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array2D(shape=(1, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array2D", init=False, repr=False) + + +@dataclass +class Array3D(_ArrayXD): + """Create a three-dimensional array. + + Args: + shape (`tuple`): + The size of each dimension. + dtype (`str`): + The value of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array3D(shape=(1, 2, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array3D", init=False, repr=False) + + +@dataclass +class Array4D(_ArrayXD): + """Create a four-dimensional array. + + Args: + shape (`tuple`): + The size of each dimension. + dtype (`str`): + The value of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array4D(shape=(1, 2, 2, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array4D", init=False, repr=False) + + +@dataclass +class Array5D(_ArrayXD): + """Create a five-dimensional array. + + Args: + shape (`tuple`): + The size of each dimension. + dtype (`str`): + The value of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array5D(shape=(1, 2, 2, 3, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array5D", init=False, repr=False) + + +class _ArrayXDExtensionType(pa.ExtensionType): + ndims: Optional[int] = None + + def __init__(self, shape: tuple, dtype: str): + if self.ndims is None or self.ndims <= 1: + raise ValueError("You must instantiate an array type with a value for dim that is > 1") + if len(shape) != self.ndims: + raise ValueError(f"shape={shape} and ndims={self.ndims} don't match") + for dim in range(1, self.ndims): + if shape[dim] is None: + raise ValueError(f"Support only dynamic size on first dimension. Got: {shape}") + self.shape = tuple(shape) + self.value_type = dtype + self.storage_dtype = self._generate_dtype(self.value_type) + pa.ExtensionType.__init__(self, self.storage_dtype, f"{self.__class__.__module__}.{self.__class__.__name__}") + + def __arrow_ext_serialize__(self): + return json.dumps((self.shape, self.value_type)).encode() + + @classmethod + def __arrow_ext_deserialize__(cls, storage_type, serialized): + args = json.loads(serialized) + return cls(*args) + + # This was added to pa.ExtensionType in pyarrow >= 13.0.0 + def __reduce__(self): + return self.__arrow_ext_deserialize__, (self.storage_type, self.__arrow_ext_serialize__()) + + def __hash__(self): + return hash((self.__class__, self.shape, self.value_type)) + + def __arrow_ext_class__(self): + return ArrayExtensionArray + + def _generate_dtype(self, dtype): + dtype = string_to_arrow(dtype) + for d in reversed(self.shape): + dtype = pa.list_(dtype) + # Don't specify the size of the list, since fixed length list arrays have issues + # being validated after slicing in pyarrow 0.17.1 + return dtype + + def to_pandas_dtype(self): + return PandasArrayExtensionDtype(self.value_type) + + +class Array2DExtensionType(_ArrayXDExtensionType): + ndims = 2 + + +class Array3DExtensionType(_ArrayXDExtensionType): + ndims = 3 + + +class Array4DExtensionType(_ArrayXDExtensionType): + ndims = 4 + + +class Array5DExtensionType(_ArrayXDExtensionType): + ndims = 5 + + +# Register the extension types for deserialization +pa.register_extension_type(Array2DExtensionType((1, 2), "int64")) +pa.register_extension_type(Array3DExtensionType((1, 2, 3), "int64")) +pa.register_extension_type(Array4DExtensionType((1, 2, 3, 4), "int64")) +pa.register_extension_type(Array5DExtensionType((1, 2, 3, 4, 5), "int64")) + + +def _is_zero_copy_only(pa_type: pa.DataType, unnest: bool = False) -> bool: + """ + When converting a pyarrow array to a numpy array, we must know whether this could be done in zero-copy or not. + This function returns the value of the ``zero_copy_only`` parameter to pass to ``.to_numpy()``, given the type of the pyarrow array. + + # zero copy is available for all primitive types except booleans and temporal types (date, time, timestamp or duration) + # primitive types are types for which the physical representation in arrow and in numpy + # https://github.com/wesm/arrow/blob/c07b9b48cf3e0bbbab493992a492ae47e5b04cad/python/pyarrow/types.pxi#L821 + # see https://arrow.apache.org/docs/python/generated/pyarrow.Array.html#pyarrow.Array.to_numpy + # and https://issues.apache.org/jira/browse/ARROW-2871?jql=text%20~%20%22boolean%20to_numpy%22 + """ + + def _unnest_pa_type(pa_type: pa.DataType) -> pa.DataType: + if pa.types.is_list(pa_type): + return _unnest_pa_type(pa_type.value_type) + return pa_type + + if unnest: + pa_type = _unnest_pa_type(pa_type) + return pa.types.is_primitive(pa_type) and not (pa.types.is_boolean(pa_type) or pa.types.is_temporal(pa_type)) + + +class ArrayExtensionArray(pa.ExtensionArray): + def __array__(self): + zero_copy_only = _is_zero_copy_only(self.storage.type, unnest=True) + return self.to_numpy(zero_copy_only=zero_copy_only) + + def __getitem__(self, i): + return self.storage[i] + + def to_numpy(self, zero_copy_only=True): + storage: pa.ListArray = self.storage + null_mask = storage.is_null().to_numpy(zero_copy_only=False) + + if self.type.shape[0] is not None: + size = 1 + null_indices = np.arange(len(storage))[null_mask] - np.arange(np.sum(null_mask)) + + for i in range(self.type.ndims): + size *= self.type.shape[i] + storage = storage.flatten() + numpy_arr = storage.to_numpy(zero_copy_only=zero_copy_only) + numpy_arr = numpy_arr.reshape(len(self) - len(null_indices), *self.type.shape) + + if len(null_indices): + numpy_arr = np.insert(numpy_arr.astype(np.float64), null_indices, np.nan, axis=0) + + else: + shape = self.type.shape + ndims = self.type.ndims + arrays = [] + first_dim_offsets = np.array([off.as_py() for off in storage.offsets]) + for i, is_null in enumerate(null_mask): + if is_null: + arrays.append(np.nan) + else: + storage_el = storage[i : i + 1] + first_dim = first_dim_offsets[i + 1] - first_dim_offsets[i] + # flatten storage + for _ in range(ndims): + storage_el = storage_el.flatten() + + numpy_arr = storage_el.to_numpy(zero_copy_only=zero_copy_only) + arrays.append(numpy_arr.reshape(first_dim, *shape[1:])) + + if len(np.unique(np.diff(first_dim_offsets))) > 1: + # ragged + numpy_arr = np.empty(len(arrays), dtype=object) + numpy_arr[:] = arrays + else: + numpy_arr = np.array(arrays) + + return numpy_arr + + def to_pylist(self): + zero_copy_only = _is_zero_copy_only(self.storage.type, unnest=True) + numpy_arr = self.to_numpy(zero_copy_only=zero_copy_only) + if self.type.shape[0] is None and numpy_arr.dtype == object: + return [arr.tolist() for arr in numpy_arr.tolist()] + else: + return numpy_arr.tolist() + + +class PandasArrayExtensionDtype(PandasExtensionDtype): + _metadata = "value_type" + + def __init__(self, value_type: Union["PandasArrayExtensionDtype", np.dtype]): + self._value_type = value_type + + def __from_arrow__(self, array: Union[pa.Array, pa.ChunkedArray]): + if isinstance(array, pa.ChunkedArray): + array = array.type.wrap_array(pa.concat_arrays([chunk.storage for chunk in array.chunks])) + zero_copy_only = _is_zero_copy_only(array.storage.type, unnest=True) + numpy_arr = array.to_numpy(zero_copy_only=zero_copy_only) + return PandasArrayExtensionArray(numpy_arr) + + @classmethod + def construct_array_type(cls): + return PandasArrayExtensionArray + + @property + def type(self) -> type: + return np.ndarray + + @property + def kind(self) -> str: + return "O" + + @property + def name(self) -> str: + return f"array[{self.value_type}]" + + @property + def value_type(self) -> np.dtype: + return self._value_type + + +class PandasArrayExtensionArray(PandasExtensionArray): + def __init__(self, data: np.ndarray, copy: bool = False): + self._data = data if not copy else np.array(data) + self._dtype = PandasArrayExtensionDtype(data.dtype) + + def __array__(self, dtype=None): + """ + Convert to NumPy Array. + Note that Pandas expects a 1D array when dtype is set to object. + But for other dtypes, the returned shape is the same as the one of ``data``. + + More info about pandas 1D requirement for PandasExtensionArray here: + https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.api.extensions.ExtensionArray.html#pandas.api.extensions.ExtensionArray + + """ + if dtype == object: + out = np.empty(len(self._data), dtype=object) + for i in range(len(self._data)): + out[i] = self._data[i] + return out + if dtype is None: + return self._data + else: + return self._data.astype(dtype) + + def copy(self, deep: bool = False) -> "PandasArrayExtensionArray": + return PandasArrayExtensionArray(self._data, copy=True) + + @classmethod + def _from_sequence( + cls, scalars, dtype: Optional[PandasArrayExtensionDtype] = None, copy: bool = False + ) -> "PandasArrayExtensionArray": + if len(scalars) > 1 and all( + isinstance(x, np.ndarray) and x.shape == scalars[0].shape and x.dtype == scalars[0].dtype for x in scalars + ): + data = np.array(scalars, dtype=dtype if dtype is None else dtype.value_type, copy=copy) + else: + data = np.empty(len(scalars), dtype=object) + data[:] = scalars + return cls(data, copy=copy) + + @classmethod + def _concat_same_type(cls, to_concat: Sequence_["PandasArrayExtensionArray"]) -> "PandasArrayExtensionArray": + if len(to_concat) > 1 and all( + va._data.shape == to_concat[0]._data.shape and va._data.dtype == to_concat[0]._data.dtype + for va in to_concat + ): + data = np.vstack([va._data for va in to_concat]) + else: + data = np.empty(len(to_concat), dtype=object) + data[:] = [va._data for va in to_concat] + return cls(data, copy=False) + + @property + def dtype(self) -> PandasArrayExtensionDtype: + return self._dtype + + @property + def nbytes(self) -> int: + return self._data.nbytes + + def isna(self) -> np.ndarray: + return np.array([pd.isna(arr).any() for arr in self._data]) + + def __setitem__(self, key: Union[int, slice, np.ndarray], value: Any) -> None: + raise NotImplementedError() + + def __getitem__(self, item: Union[int, slice, np.ndarray]) -> Union[np.ndarray, "PandasArrayExtensionArray"]: + if isinstance(item, int): + return self._data[item] + return PandasArrayExtensionArray(self._data[item], copy=False) + + def take( + self, indices: Sequence_[int], allow_fill: bool = False, fill_value: bool = None + ) -> "PandasArrayExtensionArray": + indices: np.ndarray = np.asarray(indices, dtype=int) + if allow_fill: + fill_value = ( + self.dtype.na_value if fill_value is None else np.asarray(fill_value, dtype=self.dtype.value_type) + ) + mask = indices == -1 + if (indices < -1).any(): + raise ValueError("Invalid value in `indices`, must be all >= -1 for `allow_fill` is True") + elif len(self) > 0: + pass + elif not np.all(mask): + raise IndexError("Invalid take for empty PandasArrayExtensionArray, must be all -1.") + else: + data = np.array([fill_value] * len(indices), dtype=self.dtype.value_type) + return PandasArrayExtensionArray(data, copy=False) + took = self._data.take(indices, axis=0) + if allow_fill and mask.any(): + took[mask] = [fill_value] * np.sum(mask) + return PandasArrayExtensionArray(took, copy=False) + + def __len__(self) -> int: + return len(self._data) + + def __eq__(self, other) -> np.ndarray: + if not isinstance(other, PandasArrayExtensionArray): + raise NotImplementedError(f"Invalid type to compare to: {type(other)}") + return (self._data == other._data).all() + + +def pandas_types_mapper(dtype): + if isinstance(dtype, _ArrayXDExtensionType): + return PandasArrayExtensionDtype(dtype.value_type) + + +@dataclass +class ClassLabel: + """Feature type for integer class labels. + + There are 3 ways to define a `ClassLabel`, which correspond to the 3 arguments: + + * `num_classes`: Create 0 to (num_classes-1) labels. + * `names`: List of label strings. + * `names_file`: File containing the list of labels. + + Under the hood the labels are stored as integers. + You can use negative integers to represent unknown/missing labels. + + Args: + num_classes (`int`, *optional*): + Number of classes. All labels must be < `num_classes`. + names (`list` of `str`, *optional*): + String names for the integer classes. + The order in which the names are provided is kept. + names_file (`str`, *optional*): + Path to a file with names for the integer classes, one per line. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])}) + >>> features + {'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'], id=None)} + ``` + """ + + num_classes: InitVar[Optional[int]] = None # Pseudo-field: ignored by asdict/fields when converting to/from dict + names: List[str] = None + names_file: InitVar[Optional[str]] = None # Pseudo-field: ignored by asdict/fields when converting to/from dict + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "int64" + pa_type: ClassVar[Any] = pa.int64() + _str2int: ClassVar[Dict[str, int]] = None + _int2str: ClassVar[Dict[int, int]] = None + _type: str = field(default="ClassLabel", init=False, repr=False) + + def __post_init__(self, num_classes, names_file): + self.num_classes = num_classes + self.names_file = names_file + if self.names_file is not None and self.names is not None: + raise ValueError("Please provide either names or names_file but not both.") + # Set self.names + if self.names is None: + if self.names_file is not None: + self.names = self._load_names_from_file(self.names_file) + elif self.num_classes is not None: + self.names = [str(i) for i in range(self.num_classes)] + else: + raise ValueError("Please provide either num_classes, names or names_file.") + elif not isinstance(self.names, SequenceABC): + raise TypeError(f"Please provide names as a list, is {type(self.names)}") + # Set self.num_classes + if self.num_classes is None: + self.num_classes = len(self.names) + elif self.num_classes != len(self.names): + raise ValueError( + "ClassLabel number of names do not match the defined num_classes. " + f"Got {len(self.names)} names VS {self.num_classes} num_classes" + ) + # Prepare mappings + self._int2str = [str(name) for name in self.names] + self._str2int = {name: i for i, name in enumerate(self._int2str)} + if len(self._int2str) != len(self._str2int): + raise ValueError("Some label names are duplicated. Each label name should be unique.") + + def __call__(self): + return self.pa_type + + def str2int(self, values: Union[str, Iterable]) -> Union[int, Iterable]: + """Conversion class name `string` => `integer`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("rotten_tomatoes", split="train") + >>> ds.features["label"].str2int('neg') + 0 + ``` + """ + if not isinstance(values, str) and not isinstance(values, Iterable): + raise ValueError( + f"Values {values} should be a string or an Iterable (list, numpy array, pytorch, tensorflow tensors)" + ) + return_list = True + if isinstance(values, str): + values = [values] + return_list = False + + output = [self._strval2int(value) for value in values] + return output if return_list else output[0] + + def _strval2int(self, value: str) -> int: + failed_parse = False + value = str(value) + # first attempt - raw string value + int_value = self._str2int.get(value) + if int_value is None: + # second attempt - strip whitespace + int_value = self._str2int.get(value.strip()) + if int_value is None: + # third attempt - convert str to int + try: + int_value = int(value) + except ValueError: + failed_parse = True + else: + if int_value < -1 or int_value >= self.num_classes: + failed_parse = True + if failed_parse: + raise ValueError(f"Invalid string class label {value}") + return int_value + + def int2str(self, values: Union[int, Iterable]) -> Union[str, Iterable]: + """Conversion `integer` => class name `string`. + + Regarding unknown/missing labels: passing negative integers raises `ValueError`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("rotten_tomatoes", split="train") + >>> ds.features["label"].int2str(0) + 'neg' + ``` + """ + if not isinstance(values, int) and not isinstance(values, Iterable): + raise ValueError( + f"Values {values} should be an integer or an Iterable (list, numpy array, pytorch, tensorflow tensors)" + ) + return_list = True + if isinstance(values, int): + values = [values] + return_list = False + + for v in values: + if not 0 <= v < self.num_classes: + raise ValueError(f"Invalid integer class label {v:d}") + + output = [self._int2str[int(v)] for v in values] + return output if return_list else output[0] + + def encode_example(self, example_data): + if self.num_classes is None: + raise ValueError( + "Trying to use ClassLabel feature with undefined number of class. " + "Please set ClassLabel.names or num_classes." + ) + + # If a string is given, convert to associated integer + if isinstance(example_data, str): + example_data = self.str2int(example_data) + + # Allowing -1 to mean no label. + if not -1 <= example_data < self.num_classes: + raise ValueError(f"Class label {example_data:d} greater than configured num_classes {self.num_classes}") + return example_data + + def cast_storage(self, storage: Union[pa.StringArray, pa.IntegerArray]) -> pa.Int64Array: + """Cast an Arrow array to the `ClassLabel` arrow storage type. + The Arrow types that can be converted to the `ClassLabel` pyarrow storage type are: + + - `pa.string()` + - `pa.int()` + + Args: + storage (`Union[pa.StringArray, pa.IntegerArray]`): + PyArrow array to cast. + + Returns: + `pa.Int64Array`: Array in the `ClassLabel` arrow storage type. + """ + if isinstance(storage, pa.IntegerArray) and len(storage) > 0: + min_max = pc.min_max(storage).as_py() + if min_max["max"] is not None and min_max["max"] >= self.num_classes: + raise ValueError( + f"Class label {min_max['max']} greater than configured num_classes {self.num_classes}" + ) + elif isinstance(storage, pa.StringArray): + storage = pa.array( + [self._strval2int(label) if label is not None else None for label in storage.to_pylist()] + ) + return array_cast(storage, self.pa_type) + + @staticmethod + def _load_names_from_file(names_filepath): + with open(names_filepath, encoding="utf-8") as f: + return [name.strip() for name in f.read().split("\n") if name.strip()] # Filter empty names + + +@dataclass +class Sequence: + """Construct a list of feature from a single type or a dict of types. + Mostly here for compatiblity with tfds. + + Args: + feature: + A list of features of a single type or a dictionary of types. + length (`int`): + Length of the sequence. + + Example: + + ```py + >>> from datasets import Features, Sequence, Value, ClassLabel + >>> features = Features({'post': Sequence(feature={'text': Value(dtype='string'), 'upvotes': Value(dtype='int32'), 'label': ClassLabel(num_classes=2, names=['hot', 'cold'])})}) + >>> features + {'post': Sequence(feature={'text': Value(dtype='string', id=None), 'upvotes': Value(dtype='int32', id=None), 'label': ClassLabel(num_classes=2, names=['hot', 'cold'], id=None)}, length=-1, id=None)} + ``` + """ + + feature: Any + length: int = -1 + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "list" + pa_type: ClassVar[Any] = None + _type: str = field(default="Sequence", init=False, repr=False) + + +FeatureType = Union[ + dict, + list, + tuple, + Value, + ClassLabel, + Translation, + TranslationVariableLanguages, + Sequence, + Array2D, + Array3D, + Array4D, + Array5D, + Audio, + Image, +] + + +def _check_non_null_non_empty_recursive(obj, schema: Optional[FeatureType] = None) -> bool: + """ + Check if the object is not None. + If the object is a list or a tuple, recursively check the first element of the sequence and stop if at any point the first element is not a sequence or is an empty sequence. + """ + if obj is None: + return False + elif isinstance(obj, (list, tuple)) and (schema is None or isinstance(schema, (list, tuple, Sequence))): + if len(obj) > 0: + if schema is None: + pass + elif isinstance(schema, (list, tuple)): + schema = schema[0] + else: + schema = schema.feature + return _check_non_null_non_empty_recursive(obj[0], schema) + else: + return False + else: + return True + + +def get_nested_type(schema: FeatureType) -> pa.DataType: + """ + get_nested_type() converts a datasets.FeatureType into a pyarrow.DataType, and acts as the inverse of + generate_from_arrow_type(). + + It performs double-duty as the implementation of Features.type and handles the conversion of + datasets.Feature->pa.struct + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(schema, Features): + return pa.struct( + {key: get_nested_type(schema[key]) for key in schema} + ) # Features is subclass of dict, and dict order is deterministic since Python 3.6 + elif isinstance(schema, dict): + return pa.struct( + {key: get_nested_type(schema[key]) for key in schema} + ) # however don't sort on struct types since the order matters + elif isinstance(schema, (list, tuple)): + if len(schema) != 1: + raise ValueError("When defining list feature, you should just provide one example of the inner type") + value_type = get_nested_type(schema[0]) + return pa.list_(value_type) + elif isinstance(schema, Sequence): + value_type = get_nested_type(schema.feature) + # We allow to reverse list of dict => dict of list for compatibility with tfds + if isinstance(schema.feature, dict): + return pa.struct({f.name: pa.list_(f.type, schema.length) for f in value_type}) + return pa.list_(value_type, schema.length) + + # Other objects are callable which returns their data type (ClassLabel, Array2D, Translation, Arrow datatype creation methods) + return schema() + + +def encode_nested_example(schema, obj, level=0): + """Encode a nested example. + This is used since some features (in particular ClassLabel) have some logic during encoding. + + To avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be encoded. + If the first element needs to be encoded, then all the elements of the list will be encoded, otherwise they'll stay the same. + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(schema, dict): + if level == 0 and obj is None: + raise ValueError("Got None but expected a dictionary instead") + return ( + {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema} + if obj is not None + else None + ) + + elif isinstance(schema, (list, tuple)): + sub_schema = schema[0] + if obj is None: + return None + else: + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, sub_schema): + break + if encode_nested_example(sub_schema, first_elmt, level=level + 1) != first_elmt: + return [encode_nested_example(sub_schema, o, level=level + 1) for o in obj] + return list(obj) + elif isinstance(schema, Sequence): + if obj is None: + return None + # We allow to reverse list of dict => dict of list for compatiblity with tfds + if isinstance(schema.feature, dict): + # dict of list to fill + list_dict = {} + if isinstance(obj, (list, tuple)): + # obj is a list of dict + for k in schema.feature: + list_dict[k] = [encode_nested_example(schema.feature[k], o.get(k), level=level + 1) for o in obj] + return list_dict + else: + # obj is a single dict + for k in schema.feature: + list_dict[k] = ( + [encode_nested_example(schema.feature[k], o, level=level + 1) for o in obj[k]] + if k in obj + else None + ) + return list_dict + # schema.feature is not a dict + if isinstance(obj, str): # don't interpret a string as a list + raise ValueError(f"Got a string but expected a list instead: '{obj}'") + else: + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, schema.feature): + break + # be careful when comparing tensors here + if ( + not isinstance(first_elmt, list) + or encode_nested_example(schema.feature, first_elmt, level=level + 1) != first_elmt + ): + return [encode_nested_example(schema.feature, o, level=level + 1) for o in obj] + return list(obj) + # Object with special encoding: + # ClassLabel will convert from string to int, TranslationVariableLanguages does some checks + elif isinstance(schema, (Audio, Image, ClassLabel, TranslationVariableLanguages, Value, _ArrayXD)): + return schema.encode_example(obj) if obj is not None else None + # Other object should be directly convertible to a native Arrow type (like Translation and Translation) + return obj + + +def decode_nested_example(schema, obj, token_per_repo_id: Optional[Dict[str, Union[str, bool, None]]] = None): + """Decode a nested example. + This is used since some features (in particular Audio and Image) have some logic during decoding. + + To avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be decoded. + If the first element needs to be decoded, then all the elements of the list will be decoded, otherwise they'll stay the same. + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(schema, dict): + return ( + {k: decode_nested_example(sub_schema, sub_obj) for k, (sub_schema, sub_obj) in zip_dict(schema, obj)} + if obj is not None + else None + ) + elif isinstance(schema, (list, tuple)): + sub_schema = schema[0] + if obj is None: + return None + else: + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, sub_schema): + break + if decode_nested_example(sub_schema, first_elmt) != first_elmt: + return [decode_nested_example(sub_schema, o) for o in obj] + return list(obj) + elif isinstance(schema, Sequence): + # We allow to reverse list of dict => dict of list for compatiblity with tfds + if isinstance(schema.feature, dict): + return {k: decode_nested_example([schema.feature[k]], obj[k]) for k in schema.feature} + else: + return decode_nested_example([schema.feature], obj) + # Object with special decoding: + elif isinstance(schema, (Audio, Image)): + # we pass the token to read and decode files from private repositories in streaming mode + if obj is not None and schema.decode: + return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) + return obj + + +def generate_from_dict(obj: Any): + """Regenerate the nested feature object from a deserialized dict. + We use the '_type' fields to get the dataclass name to load. + + generate_from_dict is the recursive helper for Features.from_dict, and allows for a convenient constructor syntax + to define features from deserialized JSON dictionaries. This function is used in particular when deserializing + a :class:`DatasetInfo` that was dumped to a JSON object. This acts as an analogue to + :meth:`Features.from_arrow_schema` and handles the recursive field-by-field instantiation, but doesn't require any + mapping to/from pyarrow, except for the fact that it takes advantage of the mapping of pyarrow primitive dtypes + that :class:`Value` automatically performs. + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(obj, list): + return [generate_from_dict(value) for value in obj] + # Otherwise we have a dict or a dataclass + if "_type" not in obj or isinstance(obj["_type"], dict): + return {key: generate_from_dict(value) for key, value in obj.items()} + obj = dict(obj) + class_type = globals()[obj.pop("_type")] + + if class_type == Sequence: + return Sequence(feature=generate_from_dict(obj["feature"]), length=obj.get("length", -1)) + + field_names = {f.name for f in fields(class_type)} + return class_type(**{k: v for k, v in obj.items() if k in field_names}) + + +def generate_from_arrow_type(pa_type: pa.DataType) -> FeatureType: + """ + generate_from_arrow_type accepts an arrow DataType and returns a datasets FeatureType to be used as the type for + a single field. + + This is the high-level arrow->datasets type conversion and is inverted by get_nested_type(). + + This operates at the individual *field* level, whereas Features.from_arrow_schema() operates at the + full schema level and holds the methods that represent the bijection from Features<->pyarrow.Schema + """ + if isinstance(pa_type, pa.StructType): + return {field.name: generate_from_arrow_type(field.type) for field in pa_type} + elif isinstance(pa_type, pa.FixedSizeListType): + return Sequence(feature=generate_from_arrow_type(pa_type.value_type), length=pa_type.list_size) + elif isinstance(pa_type, pa.ListType): + feature = generate_from_arrow_type(pa_type.value_type) + if isinstance(feature, (dict, tuple, list)): + return [feature] + return Sequence(feature=feature) + elif isinstance(pa_type, _ArrayXDExtensionType): + array_feature = [None, None, Array2D, Array3D, Array4D, Array5D][pa_type.ndims] + return array_feature(shape=pa_type.shape, dtype=pa_type.value_type) + elif isinstance(pa_type, pa.DictionaryType): + raise NotImplementedError # TODO(thom) this will need access to the dictionary as well (for labels). I.e. to the py_table + elif isinstance(pa_type, pa.DataType): + return Value(dtype=_arrow_to_datasets_dtype(pa_type)) + else: + raise ValueError(f"Cannot convert {pa_type} to a Feature type.") + + +def numpy_to_pyarrow_listarray(arr: np.ndarray, type: pa.DataType = None) -> pa.ListArray: + """Build a PyArrow ListArray from a multidimensional NumPy array""" + arr = np.array(arr) + values = pa.array(arr.flatten(), type=type) + for i in range(arr.ndim - 1): + n_offsets = reduce(mul, arr.shape[: arr.ndim - i - 1], 1) + step_offsets = arr.shape[arr.ndim - i - 1] + offsets = pa.array(np.arange(n_offsets + 1) * step_offsets, type=pa.int32()) + values = pa.ListArray.from_arrays(offsets, values) + return values + + +def list_of_pa_arrays_to_pyarrow_listarray(l_arr: List[Optional[pa.Array]]) -> pa.ListArray: + null_mask = np.array([arr is None for arr in l_arr]) + null_indices = np.arange(len(null_mask))[null_mask] - np.arange(np.sum(null_mask)) + l_arr = [arr for arr in l_arr if arr is not None] + offsets = np.cumsum( + [0] + [len(arr) for arr in l_arr], dtype=object + ) # convert to dtype object to allow None insertion + offsets = np.insert(offsets, null_indices, None) + offsets = pa.array(offsets, type=pa.int32()) + values = pa.concat_arrays(l_arr) + return pa.ListArray.from_arrays(offsets, values) + + +def list_of_np_array_to_pyarrow_listarray(l_arr: List[np.ndarray], type: pa.DataType = None) -> pa.ListArray: + """Build a PyArrow ListArray from a possibly nested list of NumPy arrays""" + if len(l_arr) > 0: + return list_of_pa_arrays_to_pyarrow_listarray( + [numpy_to_pyarrow_listarray(arr, type=type) if arr is not None else None for arr in l_arr] + ) + else: + return pa.array([], type=type) + + +def contains_any_np_array(data: Any): + """Return `True` if data is a NumPy ndarray or (recursively) if first non-null value in list is a NumPy ndarray. + + Args: + data (Any): Data. + + Returns: + bool + """ + if isinstance(data, np.ndarray): + return True + elif isinstance(data, list): + return contains_any_np_array(first_non_null_value(data)[1]) + else: + return False + + +def any_np_array_to_pyarrow_listarray(data: Union[np.ndarray, List], type: pa.DataType = None) -> pa.ListArray: + """Convert to PyArrow ListArray either a NumPy ndarray or (recursively) a list that may contain any NumPy ndarray. + + Args: + data (Union[np.ndarray, List]): Data. + type (pa.DataType): Explicit PyArrow DataType passed to coerce the ListArray data type. + + Returns: + pa.ListArray + """ + if isinstance(data, np.ndarray): + return numpy_to_pyarrow_listarray(data, type=type) + elif isinstance(data, list): + return list_of_pa_arrays_to_pyarrow_listarray([any_np_array_to_pyarrow_listarray(i, type=type) for i in data]) + + +def to_pyarrow_listarray(data: Any, pa_type: _ArrayXDExtensionType) -> pa.Array: + """Convert to PyArrow ListArray. + + Args: + data (Any): Sequence, iterable, np.ndarray or pd.Series. + pa_type (_ArrayXDExtensionType): Any of the ArrayNDExtensionType. + + Returns: + pyarrow.Array + """ + if contains_any_np_array(data): + return any_np_array_to_pyarrow_listarray(data, type=pa_type.value_type) + else: + return pa.array(data, pa_type.storage_dtype) + + +def _visit(feature: FeatureType, func: Callable[[FeatureType], Optional[FeatureType]]) -> FeatureType: + """Visit a (possibly nested) feature. + + Args: + feature (FeatureType): the feature type to be checked + Returns: + visited feature (FeatureType) + """ + if isinstance(feature, dict): + out = func({k: _visit(f, func) for k, f in feature.items()}) + elif isinstance(feature, (list, tuple)): + out = func([_visit(feature[0], func)]) + elif isinstance(feature, Sequence): + out = func(Sequence(_visit(feature.feature, func), length=feature.length)) + else: + out = func(feature) + return feature if out is None else out + + +def require_decoding(feature: FeatureType, ignore_decode_attribute: bool = False) -> bool: + """Check if a (possibly nested) feature requires decoding. + + Args: + feature (FeatureType): the feature type to be checked + ignore_decode_attribute (:obj:`bool`, default ``False``): Whether to ignore the current value + of the `decode` attribute of the decodable feature types. + Returns: + :obj:`bool` + """ + if isinstance(feature, dict): + return any(require_decoding(f) for f in feature.values()) + elif isinstance(feature, (list, tuple)): + return require_decoding(feature[0]) + elif isinstance(feature, Sequence): + return require_decoding(feature.feature) + else: + return hasattr(feature, "decode_example") and (feature.decode if not ignore_decode_attribute else True) + + +def require_storage_cast(feature: FeatureType) -> bool: + """Check if a (possibly nested) feature requires storage casting. + + Args: + feature (FeatureType): the feature type to be checked + Returns: + :obj:`bool` + """ + if isinstance(feature, dict): + return any(require_storage_cast(f) for f in feature.values()) + elif isinstance(feature, (list, tuple)): + return require_storage_cast(feature[0]) + elif isinstance(feature, Sequence): + return require_storage_cast(feature.feature) + else: + return hasattr(feature, "cast_storage") + + +def require_storage_embed(feature: FeatureType) -> bool: + """Check if a (possibly nested) feature requires embedding data into storage. + + Args: + feature (FeatureType): the feature type to be checked + Returns: + :obj:`bool` + """ + if isinstance(feature, dict): + return any(require_storage_cast(f) for f in feature.values()) + elif isinstance(feature, (list, tuple)): + return require_storage_cast(feature[0]) + elif isinstance(feature, Sequence): + return require_storage_cast(feature.feature) + else: + return hasattr(feature, "embed_storage") + + +def keep_features_dicts_synced(func): + """ + Wrapper to keep the secondary dictionary, which tracks whether keys are decodable, of the :class:`datasets.Features` object + in sync with the main dictionary. + """ + + @wraps(func) + def wrapper(*args, **kwargs): + if args: + self: "Features" = args[0] + args = args[1:] + else: + self: "Features" = kwargs.pop("self") + out = func(self, *args, **kwargs) + assert hasattr(self, "_column_requires_decoding") + self._column_requires_decoding = {col: require_decoding(feature) for col, feature in self.items()} + return out + + wrapper._decorator_name_ = "_keep_dicts_synced" + return wrapper + + +class Features(dict): + """A special dictionary that defines the internal structure of a dataset. + + Instantiated with a dictionary of type `dict[str, FieldType]`, where keys are the desired column names, + and values are the type of that column. + + `FieldType` can be one of the following: + - a [`~datasets.Value`] feature specifies a single typed value, e.g. `int64` or `string`. + - a [`~datasets.ClassLabel`] feature specifies a field with a predefined set of classes which can have labels + associated to them and will be stored as integers in the dataset. + - a python `dict` which specifies that the field is a nested field containing a mapping of sub-fields to sub-fields + features. It's possible to have nested fields of nested fields in an arbitrary manner. + - a python `list` or a [`~datasets.Sequence`] specifies that the field contains a list of objects. The python + `list` or [`~datasets.Sequence`] should be provided with a single sub-feature as an example of the feature + type hosted in this list. + + + + A [`~datasets.Sequence`] with a internal dictionary feature will be automatically converted into a dictionary of + lists. This behavior is implemented to have a compatilbity layer with the TensorFlow Datasets library but may be + un-wanted in some cases. If you don't want this behavior, you can use a python `list` instead of the + [`~datasets.Sequence`]. + + + + - a [`Array2D`], [`Array3D`], [`Array4D`] or [`Array5D`] feature for multidimensional arrays. + - an [`Audio`] feature to store the absolute path to an audio file or a dictionary with the relative path + to an audio file ("path" key) and its bytes content ("bytes" key). This feature extracts the audio data. + - an [`Image`] feature to store the absolute path to an image file, an `np.ndarray` object, a `PIL.Image.Image` object + or a dictionary with the relative path to an image file ("path" key) and its bytes content ("bytes" key). This feature extracts the image data. + - [`~datasets.Translation`] and [`~datasets.TranslationVariableLanguages`], the two features specific to Machine Translation. + """ + + def __init__(*args, **kwargs): + # self not in the signature to allow passing self as a kwarg + if not args: + raise TypeError("descriptor '__init__' of 'Features' object needs an argument") + self, *args = args + super(Features, self).__init__(*args, **kwargs) + self._column_requires_decoding: Dict[str, bool] = { + col: require_decoding(feature) for col, feature in self.items() + } + + __setitem__ = keep_features_dicts_synced(dict.__setitem__) + __delitem__ = keep_features_dicts_synced(dict.__delitem__) + update = keep_features_dicts_synced(dict.update) + setdefault = keep_features_dicts_synced(dict.setdefault) + pop = keep_features_dicts_synced(dict.pop) + popitem = keep_features_dicts_synced(dict.popitem) + clear = keep_features_dicts_synced(dict.clear) + + def __reduce__(self): + return Features, (dict(self),) + + @property + def type(self): + """ + Features field types. + + Returns: + :obj:`pyarrow.DataType` + """ + return get_nested_type(self) + + @property + def arrow_schema(self): + """ + Features schema. + + Returns: + :obj:`pyarrow.Schema` + """ + hf_metadata = {"info": {"features": self.to_dict()}} + return pa.schema(self.type).with_metadata({"huggingface": json.dumps(hf_metadata)}) + + @classmethod + def from_arrow_schema(cls, pa_schema: pa.Schema) -> "Features": + """ + Construct [`Features`] from Arrow Schema. + It also checks the schema metadata for Hugging Face Datasets features. + Non-nullable fields are not supported and set to nullable. + + Args: + pa_schema (`pyarrow.Schema`): + Arrow Schema. + + Returns: + [`Features`] + """ + # try to load features from the arrow schema metadata + metadata_features = Features() + if pa_schema.metadata is not None and "huggingface".encode("utf-8") in pa_schema.metadata: + metadata = json.loads(pa_schema.metadata["huggingface".encode("utf-8")].decode()) + if "info" in metadata and "features" in metadata["info"] and metadata["info"]["features"] is not None: + metadata_features = Features.from_dict(metadata["info"]["features"]) + metadata_features_schema = metadata_features.arrow_schema + obj = { + field.name: ( + metadata_features[field.name] + if field.name in metadata_features and metadata_features_schema.field(field.name) == field + else generate_from_arrow_type(field.type) + ) + for field in pa_schema + } + return cls(**obj) + + @classmethod + def from_dict(cls, dic) -> "Features": + """ + Construct [`Features`] from dict. + + Regenerate the nested feature object from a deserialized dict. + We use the `_type` key to infer the dataclass name of the feature `FieldType`. + + It allows for a convenient constructor syntax + to define features from deserialized JSON dictionaries. This function is used in particular when deserializing + a [`DatasetInfo`] that was dumped to a JSON object. This acts as an analogue to + [`Features.from_arrow_schema`] and handles the recursive field-by-field instantiation, but doesn't require + any mapping to/from pyarrow, except for the fact that it takes advantage of the mapping of pyarrow primitive + dtypes that [`Value`] automatically performs. + + Args: + dic (`dict[str, Any]`): + Python dictionary. + + Returns: + `Features` + + Example:: + >>> Features.from_dict({'_type': {'dtype': 'string', 'id': None, '_type': 'Value'}}) + {'_type': Value(dtype='string', id=None)} + """ + obj = generate_from_dict(dic) + return cls(**obj) + + def to_dict(self): + return asdict(self) + + def _to_yaml_list(self) -> list: + # we compute the YAML list from the dict representation that is used for JSON dump + yaml_data = self.to_dict() + + def simplify(feature: dict) -> dict: + if not isinstance(feature, dict): + raise TypeError(f"Expected a dict but got a {type(feature)}: {feature}") + + # + # sequence: -> sequence: int32 + # dtype: int32 -> + # + if isinstance(feature.get("sequence"), dict) and list(feature["sequence"]) == ["dtype"]: + feature["sequence"] = feature["sequence"]["dtype"] + + # + # sequence: -> sequence: + # struct: -> - name: foo + # - name: foo -> dtype: int32 + # dtype: int32 -> + # + if isinstance(feature.get("sequence"), dict) and list(feature["sequence"]) == ["struct"]: + feature["sequence"] = feature["sequence"]["struct"] + + # + # list: -> list: int32 + # dtype: int32 -> + # + if isinstance(feature.get("list"), dict) and list(feature["list"]) == ["dtype"]: + feature["list"] = feature["list"]["dtype"] + + # + # list: -> list: + # struct: -> - name: foo + # - name: foo -> dtype: int32 + # dtype: int32 -> + # + if isinstance(feature.get("list"), dict) and list(feature["list"]) == ["struct"]: + feature["list"] = feature["list"]["struct"] + + # + # class_label: -> class_label: + # names: -> names: + # - negative -> '0': negative + # - positive -> '1': positive + # + if isinstance(feature.get("class_label"), dict) and isinstance(feature["class_label"].get("names"), list): + # server-side requirement: keys must be strings + feature["class_label"]["names"] = { + str(label_id): label_name for label_id, label_name in enumerate(feature["class_label"]["names"]) + } + return feature + + def to_yaml_inner(obj: Union[dict, list]) -> dict: + if isinstance(obj, dict): + _type = obj.pop("_type", None) + if _type == "Sequence": + _feature = obj.pop("feature") + return simplify({"sequence": to_yaml_inner(_feature), **obj}) + elif _type == "Value": + return obj + elif _type and not obj: + return {"dtype": camelcase_to_snakecase(_type)} + elif _type: + return {"dtype": simplify({camelcase_to_snakecase(_type): obj})} + else: + return {"struct": [{"name": name, **to_yaml_inner(_feature)} for name, _feature in obj.items()]} + elif isinstance(obj, list): + return simplify({"list": simplify(to_yaml_inner(obj[0]))}) + elif isinstance(obj, tuple): + return to_yaml_inner(list(obj)) + else: + raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}") + + def to_yaml_types(obj: dict) -> dict: + if isinstance(obj, dict): + return {k: to_yaml_types(v) for k, v in obj.items()} + elif isinstance(obj, list): + return [to_yaml_types(v) for v in obj] + elif isinstance(obj, tuple): + return to_yaml_types(list(obj)) + else: + return obj + + return to_yaml_types(to_yaml_inner(yaml_data)["struct"]) + + @classmethod + def _from_yaml_list(cls, yaml_data: list) -> "Features": + yaml_data = copy.deepcopy(yaml_data) + + # we convert the list obtained from YAML data into the dict representation that is used for JSON dump + + def unsimplify(feature: dict) -> dict: + if not isinstance(feature, dict): + raise TypeError(f"Expected a dict but got a {type(feature)}: {feature}") + # + # sequence: int32 -> sequence: + # -> dtype: int32 + # + if isinstance(feature.get("sequence"), str): + feature["sequence"] = {"dtype": feature["sequence"]} + # + # list: int32 -> list: + # -> dtype: int32 + # + if isinstance(feature.get("list"), str): + feature["list"] = {"dtype": feature["list"]} + + # + # class_label: -> class_label: + # names: -> names: + # '0': negative -> - negative + # '1': positive -> - positive + # + if isinstance(feature.get("class_label"), dict) and isinstance(feature["class_label"].get("names"), dict): + label_ids = sorted(feature["class_label"]["names"], key=int) + if label_ids and [int(label_id) for label_id in label_ids] != list(range(int(label_ids[-1]) + 1)): + raise ValueError( + f"ClassLabel expected a value for all label ids [0:{int(label_ids[-1]) + 1}] but some ids are missing." + ) + feature["class_label"]["names"] = [feature["class_label"]["names"][label_id] for label_id in label_ids] + return feature + + def from_yaml_inner(obj: Union[dict, list]) -> Union[dict, list]: + if isinstance(obj, dict): + if not obj: + return {} + _type = next(iter(obj)) + if _type == "sequence": + _feature = unsimplify(obj).pop(_type) + return {"feature": from_yaml_inner(_feature), **obj, "_type": "Sequence"} + if _type == "list": + return [from_yaml_inner(unsimplify(obj)[_type])] + if _type == "struct": + return from_yaml_inner(obj["struct"]) + elif _type == "dtype": + if isinstance(obj["dtype"], str): + # e.g. int32, float64, string, audio, image + try: + Value(obj["dtype"]) + return {**obj, "_type": "Value"} + except ValueError: + # e.g. Audio, Image, ArrayXD + return {"_type": snakecase_to_camelcase(obj["dtype"])} + else: + return from_yaml_inner(obj["dtype"]) + else: + return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]} + elif isinstance(obj, list): + names = [_feature.pop("name") for _feature in obj] + return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)} + else: + raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}") + + return cls.from_dict(from_yaml_inner(yaml_data)) + + def encode_example(self, example): + """ + Encode example into a format for Arrow. + + Args: + example (`dict[str, Any]`): + Data in a Dataset row. + + Returns: + `dict[str, Any]` + """ + example = cast_to_python_objects(example) + return encode_nested_example(self, example) + + def encode_column(self, column, column_name: str): + """ + Encode column into a format for Arrow. + + Args: + column (`list[Any]`): + Data in a Dataset column. + column_name (`str`): + Dataset column name. + + Returns: + `list[Any]` + """ + column = cast_to_python_objects(column) + return [encode_nested_example(self[column_name], obj) for obj in column] + + def encode_batch(self, batch): + """ + Encode batch into a format for Arrow. + + Args: + batch (`dict[str, list[Any]]`): + Data in a Dataset batch. + + Returns: + `dict[str, list[Any]]` + """ + encoded_batch = {} + if set(batch) != set(self): + raise ValueError(f"Column mismatch between batch {set(batch)} and features {set(self)}") + for key, column in batch.items(): + column = cast_to_python_objects(column) + encoded_batch[key] = [encode_nested_example(self[key], obj) for obj in column] + return encoded_batch + + def decode_example(self, example: dict, token_per_repo_id: Optional[Dict[str, Union[str, bool, None]]] = None): + """Decode example with custom feature decoding. + + Args: + example (`dict[str, Any]`): + Dataset row data. + token_per_repo_id (`dict`, *optional*): + To access and decode audio or image files from private repositories on the Hub, you can pass + a dictionary `repo_id (str) -> token (bool or str)`. + + Returns: + `dict[str, Any]` + """ + + return { + column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id) + if self._column_requires_decoding[column_name] + else value + for column_name, (feature, value) in zip_dict( + {key: value for key, value in self.items() if key in example}, example + ) + } + + def decode_column(self, column: list, column_name: str): + """Decode column with custom feature decoding. + + Args: + column (`list[Any]`): + Dataset column data. + column_name (`str`): + Dataset column name. + + Returns: + `list[Any]` + """ + return ( + [decode_nested_example(self[column_name], value) if value is not None else None for value in column] + if self._column_requires_decoding[column_name] + else column + ) + + def decode_batch(self, batch: dict, token_per_repo_id: Optional[Dict[str, Union[str, bool, None]]] = None): + """Decode batch with custom feature decoding. + + Args: + batch (`dict[str, list[Any]]`): + Dataset batch data. + token_per_repo_id (`dict`, *optional*): + To access and decode audio or image files from private repositories on the Hub, you can pass + a dictionary repo_id (str) -> token (bool or str) + + Returns: + `dict[str, list[Any]]` + """ + decoded_batch = {} + for column_name, column in batch.items(): + decoded_batch[column_name] = ( + [ + decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id) + if value is not None + else None + for value in column + ] + if self._column_requires_decoding[column_name] + else column + ) + return decoded_batch + + def copy(self) -> "Features": + """ + Make a deep copy of [`Features`]. + + Returns: + [`Features`] + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("rotten_tomatoes", split="train") + >>> copy_of_features = ds.features.copy() + >>> copy_of_features + {'label': ClassLabel(num_classes=2, names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + ``` + """ + return copy.deepcopy(self) + + def reorder_fields_as(self, other: "Features") -> "Features": + """ + Reorder Features fields to match the field order of other [`Features`]. + + The order of the fields is important since it matters for the underlying arrow data. + Re-ordering the fields allows to make the underlying arrow data type match. + + Args: + other ([`Features`]): + The other [`Features`] to align with. + + Returns: + [`Features`] + + Example:: + + >>> from datasets import Features, Sequence, Value + >>> # let's say we have to features with a different order of nested fields (for a and b for example) + >>> f1 = Features({"root": Sequence({"a": Value("string"), "b": Value("string")})}) + >>> f2 = Features({"root": {"b": Sequence(Value("string")), "a": Sequence(Value("string"))}}) + >>> assert f1.type != f2.type + >>> # re-ordering keeps the base structure (here Sequence is defined at the root level), but make the fields order match + >>> f1.reorder_fields_as(f2) + {'root': Sequence(feature={'b': Value(dtype='string', id=None), 'a': Value(dtype='string', id=None)}, length=-1, id=None)} + >>> assert f1.reorder_fields_as(f2).type == f2.type + """ + + def recursive_reorder(source, target, stack=""): + stack_position = " at " + stack[1:] if stack else "" + if isinstance(target, Sequence): + target = target.feature + if isinstance(target, dict): + target = {k: [v] for k, v in target.items()} + else: + target = [target] + if isinstance(source, Sequence): + source, id_, length = source.feature, source.id, source.length + if isinstance(source, dict): + source = {k: [v] for k, v in source.items()} + reordered = recursive_reorder(source, target, stack) + return Sequence({k: v[0] for k, v in reordered.items()}, id=id_, length=length) + else: + source = [source] + reordered = recursive_reorder(source, target, stack) + return Sequence(reordered[0], id=id_, length=length) + elif isinstance(source, dict): + if not isinstance(target, dict): + raise ValueError(f"Type mismatch: between {source} and {target}" + stack_position) + if sorted(source) != sorted(target): + message = ( + f"Keys mismatch: between {source} (source) and {target} (target).\n" + f"{source.keys()-target.keys()} are missing from target " + f"and {target.keys()-source.keys()} are missing from source" + stack_position + ) + raise ValueError(message) + return {key: recursive_reorder(source[key], target[key], stack + f".{key}") for key in target} + elif isinstance(source, list): + if not isinstance(target, list): + raise ValueError(f"Type mismatch: between {source} and {target}" + stack_position) + if len(source) != len(target): + raise ValueError(f"Length mismatch: between {source} and {target}" + stack_position) + return [recursive_reorder(source[i], target[i], stack + ".") for i in range(len(target))] + else: + return source + + return Features(recursive_reorder(self, other)) + + def flatten(self, max_depth=16) -> "Features": + """Flatten the features. Every dictionary column is removed and is replaced by + all the subfields it contains. The new fields are named by concatenating the + name of the original column and the subfield name like this: `.`. + + If a column contains nested dictionaries, then all the lower-level subfields names are + also concatenated to form new columns: `..`, etc. + + Returns: + [`Features`]: + The flattened features. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("squad", split="train") + >>> ds.features.flatten() + {'answers.answer_start': Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None), + 'answers.text': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), + 'context': Value(dtype='string', id=None), + 'id': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None), + 'title': Value(dtype='string', id=None)} + ``` + """ + for depth in range(1, max_depth): + no_change = True + flattened = self.copy() + for column_name, subfeature in self.items(): + if isinstance(subfeature, dict): + no_change = False + flattened.update({f"{column_name}.{k}": v for k, v in subfeature.items()}) + del flattened[column_name] + elif isinstance(subfeature, Sequence) and isinstance(subfeature.feature, dict): + no_change = False + flattened.update( + { + f"{column_name}.{k}": Sequence(v) if not isinstance(v, dict) else [v] + for k, v in subfeature.feature.items() + } + ) + del flattened[column_name] + elif hasattr(subfeature, "flatten") and subfeature.flatten() != subfeature: + no_change = False + flattened.update({f"{column_name}.{k}": v for k, v in subfeature.flatten().items()}) + del flattened[column_name] + self = flattened + if no_change: + break + return self + + +def _align_features(features_list: List[Features]) -> List[Features]: + """Align dictionaries of features so that the keys that are found in multiple dictionaries share the same feature.""" + name2feature = {} + for features in features_list: + for k, v in features.items(): + if k in name2feature and isinstance(v, dict): + # Recursively align features. + name2feature[k] = _align_features([name2feature[k], v])[0] + elif k not in name2feature or (isinstance(name2feature[k], Value) and name2feature[k].dtype == "null"): + name2feature[k] = v + + return [Features({k: name2feature[k] for k in features.keys()}) for features in features_list] + + +def _check_if_features_can_be_aligned(features_list: List[Features]): + """Check if the dictionaries of features can be aligned. + + Two dictonaries of features can be aligned if the keys they share have the same type or some of them is of type `Value("null")`. + """ + name2feature = {} + for features in features_list: + for k, v in features.items(): + if k not in name2feature or (isinstance(name2feature[k], Value) and name2feature[k].dtype == "null"): + name2feature[k] = v + + for features in features_list: + for k, v in features.items(): + if isinstance(v, dict) and isinstance(name2feature[k], dict): + # Deep checks for structure. + _check_if_features_can_be_aligned([name2feature[k], v]) + elif not (isinstance(v, Value) and v.dtype == "null") and name2feature[k] != v: + raise ValueError( + f'The features can\'t be aligned because the key {k} of features {features} has unexpected type - {v} (expected either {name2feature[k]} or Value("null").' + ) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/features/image.py b/env-llmeval/lib/python3.10/site-packages/datasets/features/image.py new file mode 100644 index 0000000000000000000000000000000000000000..8bd72c8efaff2ffa0a057f6ce1d3fb0977dbc61f --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/features/image.py @@ -0,0 +1,376 @@ +import os +import sys +import warnings +from dataclasses import dataclass, field +from io import BytesIO +from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union + +import numpy as np +import pyarrow as pa + +from .. import config +from ..download.download_config import DownloadConfig +from ..download.streaming_download_manager import xopen +from ..table import array_cast +from ..utils.file_utils import is_local_path +from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict + + +if TYPE_CHECKING: + import PIL.Image + + from .features import FeatureType + + +_IMAGE_COMPRESSION_FORMATS: Optional[List[str]] = None +_NATIVE_BYTEORDER = "<" if sys.byteorder == "little" else ">" +# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image +_VALID_IMAGE_ARRAY_DTPYES = [ + np.dtype("|b1"), + np.dtype("|u1"), + np.dtype("u2"), + np.dtype("i2"), + np.dtype("u4"), + np.dtype("i4"), + np.dtype("f4"), + np.dtype("f8"), +] + + +@dataclass +class Image: + """Image [`Feature`] to read image data from an image file. + + Input: The Image feature accepts as input: + - A `str`: Absolute path to the image file (i.e. random access is allowed). + - A `dict` with the keys: + + - `path`: String with relative path of the image file to the archive file. + - `bytes`: Bytes of the image file. + + This is useful for archived files with sequential access. + + - An `np.ndarray`: NumPy array representing an image. + - A `PIL.Image.Image`: PIL image object. + + Args: + decode (`bool`, defaults to `True`): + Whether to decode the image data. If `False`, + returns the underlying dictionary in the format `{"path": image_path, "bytes": image_bytes}`. + + Examples: + + ```py + >>> from datasets import load_dataset, Image + >>> ds = load_dataset("beans", split="train") + >>> ds.features["image"] + Image(decode=True, id=None) + >>> ds[0]["image"] + + >>> ds = ds.cast_column('image', Image(decode=False)) + {'bytes': None, + 'path': '/root/.cache/huggingface/datasets/downloads/extracted/b0a21163f78769a2cf11f58dfc767fb458fc7cea5c05dccc0144a2c0f0bc1292/train/healthy/healthy_train.85.jpg'} + ``` + """ + + decode: bool = True + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "PIL.Image.Image" + pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()}) + _type: str = field(default="Image", init=False, repr=False) + + def __call__(self): + return self.pa_type + + def encode_example(self, value: Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]) -> dict: + """Encode example into a format for Arrow. + + Args: + value (`str`, `np.ndarray`, `PIL.Image.Image` or `dict`): + Data passed as input to Image feature. + + Returns: + `dict` with "path" and "bytes" fields + """ + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + if isinstance(value, list): + value = np.array(value) + + if isinstance(value, str): + return {"path": value, "bytes": None} + elif isinstance(value, bytes): + return {"path": None, "bytes": value} + elif isinstance(value, np.ndarray): + # convert the image array to PNG/TIFF bytes + return encode_np_array(value) + elif isinstance(value, PIL.Image.Image): + # convert the PIL image to bytes (default format is PNG/TIFF) + return encode_pil_image(value) + elif value.get("path") is not None and os.path.isfile(value["path"]): + # we set "bytes": None to not duplicate the data if they're already available locally + return {"bytes": None, "path": value.get("path")} + elif value.get("bytes") is not None or value.get("path") is not None: + # store the image bytes, and path is used to infer the image format using the file extension + return {"bytes": value.get("bytes"), "path": value.get("path")} + else: + raise ValueError( + f"An image sample should have one of 'path' or 'bytes' but they are missing or None in {value}." + ) + + def decode_example(self, value: dict, token_per_repo_id=None) -> "PIL.Image.Image": + """Decode example image file into image data. + + Args: + value (`str` or `dict`): + A string with the absolute image file path, a dictionary with + keys: + + - `path`: String with absolute or relative image file path. + - `bytes`: The bytes of the image file. + token_per_repo_id (`dict`, *optional*): + To access and decode + image files from private repositories on the Hub, you can pass + a dictionary repo_id (`str`) -> token (`bool` or `str`). + + Returns: + `PIL.Image.Image` + """ + if not self.decode: + raise RuntimeError("Decoding is disabled for this feature. Please use Image(decode=True) instead.") + + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support decoding images, please install 'Pillow'.") + + if token_per_repo_id is None: + token_per_repo_id = {} + + path, bytes_ = value["path"], value["bytes"] + if bytes_ is None: + if path is None: + raise ValueError(f"An image should have one of 'path' or 'bytes' but both are None in {value}.") + else: + if is_local_path(path): + image = PIL.Image.open(path) + else: + source_url = path.split("::")[-1] + pattern = ( + config.HUB_DATASETS_URL + if source_url.startswith(config.HF_ENDPOINT) + else config.HUB_DATASETS_HFFS_URL + ) + try: + repo_id = string_to_dict(source_url, pattern)["repo_id"] + token = token_per_repo_id.get(repo_id) + except ValueError: + token = None + download_config = DownloadConfig(token=token) + with xopen(path, "rb", download_config=download_config) as f: + bytes_ = BytesIO(f.read()) + image = PIL.Image.open(bytes_) + else: + image = PIL.Image.open(BytesIO(bytes_)) + image.load() # to avoid "Too many open files" errors + return image + + def flatten(self) -> Union["FeatureType", Dict[str, "FeatureType"]]: + """If in the decodable state, return the feature itself, otherwise flatten the feature into a dictionary.""" + from .features import Value + + return ( + self + if self.decode + else { + "bytes": Value("binary"), + "path": Value("string"), + } + ) + + def cast_storage(self, storage: Union[pa.StringArray, pa.StructArray, pa.ListArray]) -> pa.StructArray: + """Cast an Arrow array to the Image arrow storage type. + The Arrow types that can be converted to the Image pyarrow storage type are: + + - `pa.string()` - it must contain the "path" data + - `pa.binary()` - it must contain the image bytes + - `pa.struct({"bytes": pa.binary()})` + - `pa.struct({"path": pa.string()})` + - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter + - `pa.list(*)` - it must contain the image array data + + Args: + storage (`Union[pa.StringArray, pa.StructArray, pa.ListArray]`): + PyArrow array to cast. + + Returns: + `pa.StructArray`: Array in the Image arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + if pa.types.is_string(storage.type): + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + storage = pa.StructArray.from_arrays([bytes_array, storage], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_binary(storage.type): + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([storage, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_struct(storage.type): + if storage.type.get_field_index("bytes") >= 0: + bytes_array = storage.field("bytes") + else: + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + if storage.type.get_field_index("path") >= 0: + path_array = storage.field("path") + else: + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_list(storage.type): + bytes_array = pa.array( + [encode_np_array(np.array(arr))["bytes"] if arr is not None else None for arr in storage.to_pylist()], + type=pa.binary(), + ) + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays( + [bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null() + ) + return array_cast(storage, self.pa_type) + + def embed_storage(self, storage: pa.StructArray) -> pa.StructArray: + """Embed image files into the Arrow array. + + Args: + storage (`pa.StructArray`): + PyArrow array to embed. + + Returns: + `pa.StructArray`: Array in the Image arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + + @no_op_if_value_is_null + def path_to_bytes(path): + with xopen(path, "rb") as f: + bytes_ = f.read() + return bytes_ + + bytes_array = pa.array( + [ + (path_to_bytes(x["path"]) if x["bytes"] is None else x["bytes"]) if x is not None else None + for x in storage.to_pylist() + ], + type=pa.binary(), + ) + path_array = pa.array( + [os.path.basename(path) if path is not None else None for path in storage.field("path").to_pylist()], + type=pa.string(), + ) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null()) + return array_cast(storage, self.pa_type) + + +def list_image_compression_formats() -> List[str]: + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + global _IMAGE_COMPRESSION_FORMATS + if _IMAGE_COMPRESSION_FORMATS is None: + PIL.Image.init() + _IMAGE_COMPRESSION_FORMATS = list(set(PIL.Image.OPEN.keys()) & set(PIL.Image.SAVE.keys())) + return _IMAGE_COMPRESSION_FORMATS + + +def image_to_bytes(image: "PIL.Image.Image") -> bytes: + """Convert a PIL Image object to bytes using native compression if possible, otherwise use PNG/TIFF compression.""" + buffer = BytesIO() + if image.format in list_image_compression_formats(): + format = image.format + else: + format = "PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF" + image.save(buffer, format=format) + return buffer.getvalue() + + +def encode_pil_image(image: "PIL.Image.Image") -> dict: + if hasattr(image, "filename") and image.filename != "": + return {"path": image.filename, "bytes": None} + else: + return {"path": None, "bytes": image_to_bytes(image)} + + +def encode_np_array(array: np.ndarray) -> dict: + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + dtype = array.dtype + dtype_byteorder = dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER + dtype_kind = dtype.kind + dtype_itemsize = dtype.itemsize + + dest_dtype = None + + # Multi-channel array case (only np.dtype("|u1") is allowed) + if array.shape[2:]: + if dtype_kind not in ["u", "i"]: + raise TypeError( + f"Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays." + ) + dest_dtype = np.dtype("|u1") + if dtype != dest_dtype: + warnings.warn(f"Downcasting array dtype {dtype} to {dest_dtype} to be compatible with 'Pillow'") + # Exact match + elif dtype in _VALID_IMAGE_ARRAY_DTPYES: + dest_dtype = dtype + else: # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually) + while dtype_itemsize >= 1: + dtype_str = dtype_byteorder + dtype_kind + str(dtype_itemsize) + if np.dtype(dtype_str) in _VALID_IMAGE_ARRAY_DTPYES: + dest_dtype = np.dtype(dtype_str) + warnings.warn(f"Downcasting array dtype {dtype} to {dest_dtype} to be compatible with 'Pillow'") + break + else: + dtype_itemsize //= 2 + if dest_dtype is None: + raise TypeError( + f"Cannot downcast dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}" + ) + + image = PIL.Image.fromarray(array.astype(dest_dtype)) + return {"path": None, "bytes": image_to_bytes(image)} + + +def objects_to_list_of_image_dicts( + objs: Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]], +) -> List[dict]: + """Encode a list of objects into a format suitable for creating an extension array of type `ImageExtensionType`.""" + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + if objs: + _, obj = first_non_null_value(objs) + if isinstance(obj, str): + return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs] + if isinstance(obj, np.ndarray): + obj_to_image_dict_func = no_op_if_value_is_null(encode_np_array) + return [obj_to_image_dict_func(obj) for obj in objs] + elif isinstance(obj, PIL.Image.Image): + obj_to_image_dict_func = no_op_if_value_is_null(encode_pil_image) + return [obj_to_image_dict_func(obj) for obj in objs] + else: + return objs + else: + return objs diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/features/translation.py b/env-llmeval/lib/python3.10/site-packages/datasets/features/translation.py new file mode 100644 index 0000000000000000000000000000000000000000..1d3eb1af4bbb15397afe4f1e0a5afd54060fcda3 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/features/translation.py @@ -0,0 +1,129 @@ +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union + +import pyarrow as pa + + +if TYPE_CHECKING: + from .features import FeatureType + + +@dataclass +class Translation: + """`FeatureConnector` for translations with fixed languages per example. + Here for compatiblity with tfds. + + Args: + languages (`dict`): + A dictionary for each example mapping string language codes to string translations. + + Example: + + ```python + >>> # At construction time: + >>> datasets.features.Translation(languages=['en', 'fr', 'de']) + >>> # During data generation: + >>> yield { + ... 'en': 'the cat', + ... 'fr': 'le chat', + ... 'de': 'die katze' + ... } + ``` + """ + + languages: List[str] + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "dict" + pa_type: ClassVar[Any] = None + _type: str = field(default="Translation", init=False, repr=False) + + def __call__(self): + return pa.struct({lang: pa.string() for lang in sorted(self.languages)}) + + def flatten(self) -> Union["FeatureType", Dict[str, "FeatureType"]]: + """Flatten the Translation feature into a dictionary.""" + from .features import Value + + return {k: Value("string") for k in sorted(self.languages)} + + +@dataclass +class TranslationVariableLanguages: + """`FeatureConnector` for translations with variable languages per example. + Here for compatiblity with tfds. + + Args: + languages (`dict`): + A dictionary for each example mapping string language codes to one or more string translations. + The languages present may vary from example to example. + + Returns: + - `language` or `translation` (variable-length 1D `tf.Tensor` of `tf.string`): + Language codes sorted in ascending order or plain text translations, sorted to align with language codes. + + Example: + + ```python + >>> # At construction time: + >>> datasets.features.TranslationVariableLanguages(languages=['en', 'fr', 'de']) + >>> # During data generation: + >>> yield { + ... 'en': 'the cat', + ... 'fr': ['le chat', 'la chatte,'] + ... 'de': 'die katze' + ... } + >>> # Tensor returned : + >>> { + ... 'language': ['en', 'de', 'fr', 'fr'], + ... 'translation': ['the cat', 'die katze', 'la chatte', 'le chat'], + ... } + ``` + """ + + languages: Optional[List] = None + num_languages: Optional[int] = None + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "dict" + pa_type: ClassVar[Any] = None + _type: str = field(default="TranslationVariableLanguages", init=False, repr=False) + + def __post_init__(self): + self.languages = sorted(set(self.languages)) if self.languages else None + self.num_languages = len(self.languages) if self.languages else None + + def __call__(self): + return pa.struct({"language": pa.list_(pa.string()), "translation": pa.list_(pa.string())}) + + def encode_example(self, translation_dict): + lang_set = set(self.languages) + if set(translation_dict) == {"language", "translation"}: + return translation_dict + elif self.languages and set(translation_dict) - lang_set: + raise ValueError( + f'Some languages in example ({", ".join(sorted(set(translation_dict) - lang_set))}) are not in valid set ({", ".join(lang_set)}).' + ) + + # Convert dictionary into tuples, splitting out cases where there are + # multiple translations for a single language. + translation_tuples = [] + for lang, text in translation_dict.items(): + if isinstance(text, str): + translation_tuples.append((lang, text)) + else: + translation_tuples.extend([(lang, el) for el in text]) + + # Ensure translations are in ascending order by language code. + languages, translations = zip(*sorted(translation_tuples)) + + return {"language": languages, "translation": translations} + + def flatten(self) -> Union["FeatureType", Dict[str, "FeatureType"]]: + """Flatten the TranslationVariableLanguages feature into a dictionary.""" + from .features import Sequence, Value + + return { + "language": Sequence(Value("string")), + "translation": Sequence(Value("string")), + } diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/__pycache__/__init__.cpython-310.pyc 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@@ -0,0 +1,59 @@ +#!/usr/bin/env python +# coding=utf-8 +# Copyright 2023 The HuggingFace Inc. team. All rights reserved. +# +# Licensed 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 +"""Utilities to handle file locking in `datasets`.""" + +import os + +from filelock import FileLock as FileLock_ +from filelock import UnixFileLock +from filelock import __version__ as _filelock_version +from packaging import version + + +class FileLock(FileLock_): + """ + A `filelock.FileLock` initializer that handles long paths. + It also uses the current umask for lock files. + """ + + MAX_FILENAME_LENGTH = 255 + + def __init__(self, lock_file, *args, **kwargs): + # The "mode" argument is required if we want to use the current umask in filelock >= 3.10 + # In previous previous it was already using the current umask. + if "mode" not in kwargs and version.parse(_filelock_version) >= version.parse("3.10.0"): + umask = os.umask(0o666) + os.umask(umask) + kwargs["mode"] = 0o666 & ~umask + lock_file = self.hash_filename_if_too_long(lock_file) + super().__init__(lock_file, *args, **kwargs) + + @classmethod + def hash_filename_if_too_long(cls, path: str) -> str: + path = os.path.abspath(os.path.expanduser(path)) + filename = os.path.basename(path) + max_filename_length = cls.MAX_FILENAME_LENGTH + if issubclass(cls, UnixFileLock): + max_filename_length = min(max_filename_length, os.statvfs(os.path.dirname(path)).f_namemax) + if len(filename) > max_filename_length: + dirname = os.path.dirname(path) + hashed_filename = str(hash(filename)) + new_filename = ( + filename[: max_filename_length - len(hashed_filename) - 8] + "..." + hashed_filename + ".lock" + ) + return os.path.join(dirname, new_filename) + else: + return path diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/beam_utils.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/beam_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..831354397cf2bb1c0ee464093484d53c037aa95c --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/beam_utils.py @@ -0,0 +1,52 @@ +import os + +from apache_beam.io.filesystems import FileSystems +from apache_beam.pipeline import Pipeline + +from .logging import get_logger + + +CHUNK_SIZE = 2 << 20 # 2mb +logger = get_logger(__name__) + + +class BeamPipeline(Pipeline): + """Wrapper over `apache_beam.pipeline.Pipeline` for convenience""" + + def is_local(self): + runner = self._options.get_all_options().get("runner") + return runner in [None, "DirectRunner", "PortableRunner"] + + +def upload_local_to_remote(local_file_path, remote_file_path, force_upload=False): + """Use the Beam Filesystems to upload to a remote directory on gcs/s3/hdfs...""" + fs = FileSystems + if fs.exists(remote_file_path): + if force_upload: + logger.info(f"Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.") + else: + logger.info(f"Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.") + return + with fs.create(remote_file_path) as remote_file: + with open(local_file_path, "rb") as local_file: + chunk = local_file.read(CHUNK_SIZE) + while chunk: + remote_file.write(chunk) + chunk = local_file.read(CHUNK_SIZE) + + +def download_remote_to_local(remote_file_path, local_file_path, force_download=False): + """Use the Beam Filesystems to download from a remote directory on gcs/s3/hdfs...""" + fs = FileSystems + if os.path.exists(local_file_path): + if force_download: + logger.info(f"Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.") + else: + logger.info(f"Local path already exist: {remote_file_path}. Skipping it as force_upload=False.") + return + with fs.open(remote_file_path) as remote_file: + with open(local_file_path, "wb") as local_file: + chunk = remote_file.read(CHUNK_SIZE) + while chunk: + local_file.write(chunk) + chunk = remote_file.read(CHUNK_SIZE) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..f05ecbeaa3eae5476e99c461dbede9ebfa111eb0 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/deprecation_utils.py @@ -0,0 +1,105 @@ +import enum +import inspect +import warnings +from functools import wraps +from typing import Callable, Optional + +from .logging import get_logger + + +_emitted_deprecation_warnings = set() +logger = get_logger(__name__) + + +def deprecated(help_message: Optional[str] = None): + """Decorator to mark a class or a function as deprecated. + + Args: + help_message (:obj:`str`, optional): An optional message to guide the user on how to + switch to non-deprecated usage of the library. + """ + + def decorator(deprecated_class_or_function: Callable): + global _emitted_deprecation_warnings + + if inspect.isclass(deprecated_class_or_function): + deprecated_function = deprecated_class_or_function.__init__ + name = deprecated_class_or_function.__name__ + else: + deprecated_function = deprecated_class_or_function + name = deprecated_function.__name__ + # Support deprecating __init__ class method: class name instead + name = name if name != "__init__" else deprecated_function.__qualname__.split(".")[-2] + + warning_msg = ( + f"{name} is deprecated and will be removed in the next major version of datasets." + f" {help_message}" + if help_message + else "" + ) + + @wraps(deprecated_function) + def wrapper(*args, **kwargs): + func_hash = hash(deprecated_function) + if func_hash not in _emitted_deprecation_warnings: + warnings.warn(warning_msg, category=FutureWarning, stacklevel=2) + _emitted_deprecation_warnings.add(func_hash) + return deprecated_function(*args, **kwargs) + + wrapper._decorator_name_ = "deprecated" + + if inspect.isclass(deprecated_class_or_function): + deprecated_class_or_function.__init__ = wrapper + return deprecated_class_or_function + else: + return wrapper + + return decorator + + +class OnAccess(enum.EnumMeta): + """ + Enum metaclass that calls a user-specified function whenever a member is accessed. + """ + + def __getattribute__(cls, name): + obj = super().__getattribute__(name) + if isinstance(obj, enum.Enum) and obj._on_access: + obj._on_access() + return obj + + def __getitem__(cls, name): + member = super().__getitem__(name) + if member._on_access: + member._on_access() + return member + + def __call__(cls, value, names=None, *, module=None, qualname=None, type=None, start=1): + obj = super().__call__(value, names, module=module, qualname=qualname, type=type, start=start) + if isinstance(obj, enum.Enum) and obj._on_access: + obj._on_access() + return obj + + +class DeprecatedEnum(enum.Enum, metaclass=OnAccess): + """ + Enum class that calls `deprecate` method whenever a member is accessed. + """ + + def __new__(cls, value): + member = object.__new__(cls) + member._value_ = value + member._on_access = member.deprecate + return member + + @property + def help_message(self): + return "" + + def deprecate(self): + help_message = f" {self.help_message}" if self.help_message else "" + warnings.warn( + f"'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets." + + help_message, + FutureWarning, + stacklevel=3, + ) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/doc_utils.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/doc_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6ef8bcb4e70725ad086cb817e0ec4551d1c0966e --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/doc_utils.py @@ -0,0 +1,15 @@ +from typing import Callable + + +def is_documented_by(function_with_docstring: Callable): + """Decorator to share docstrings across common functions. + + Args: + function_with_docstring (`Callable`): Name of the function with the docstring. + """ + + def wrapper(target_function): + target_function.__doc__ = function_with_docstring.__doc__ + return target_function + + return wrapper diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/extract.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/extract.py new file mode 100644 index 0000000000000000000000000000000000000000..f516a990962164a8b268a1392d185cf61cfb982b --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/extract.py @@ -0,0 +1,351 @@ +import bz2 +import gzip +import lzma +import os +import shutil +import struct +import tarfile +import warnings +import zipfile +from abc import ABC, abstractmethod +from pathlib import Path +from typing import Dict, List, Optional, Type, Union + +from .. import config +from ._filelock import FileLock +from .logging import get_logger + + +logger = get_logger(__name__) + + +class ExtractManager: + def __init__(self, cache_dir: Optional[str] = None): + self.extract_dir = ( + os.path.join(cache_dir, config.EXTRACTED_DATASETS_DIR) if cache_dir else config.EXTRACTED_DATASETS_PATH + ) + self.extractor = Extractor + + def _get_output_path(self, path: str) -> str: + from .file_utils import hash_url_to_filename + + # Path where we extract compressed archives + # We extract in the cache dir, and get the extracted path name by hashing the original path" + abs_path = os.path.abspath(path) + return os.path.join(self.extract_dir, hash_url_to_filename(abs_path)) + + def _do_extract(self, output_path: str, force_extract: bool) -> bool: + return force_extract or ( + not os.path.isfile(output_path) and not (os.path.isdir(output_path) and os.listdir(output_path)) + ) + + def extract(self, input_path: str, force_extract: bool = False) -> str: + extractor_format = self.extractor.infer_extractor_format(input_path) + if not extractor_format: + return input_path + output_path = self._get_output_path(input_path) + if self._do_extract(output_path, force_extract): + self.extractor.extract(input_path, output_path, extractor_format) + return output_path + + +class BaseExtractor(ABC): + @classmethod + @abstractmethod + def is_extractable(cls, path: Union[Path, str], **kwargs) -> bool: ... + + @staticmethod + @abstractmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: ... + + +class MagicNumberBaseExtractor(BaseExtractor, ABC): + magic_numbers: List[bytes] = [] + + @staticmethod + def read_magic_number(path: Union[Path, str], magic_number_length: int): + with open(path, "rb") as f: + return f.read(magic_number_length) + + @classmethod + def is_extractable(cls, path: Union[Path, str], magic_number: bytes = b"") -> bool: + if not magic_number: + magic_number_length = max(len(cls_magic_number) for cls_magic_number in cls.magic_numbers) + try: + magic_number = cls.read_magic_number(path, magic_number_length) + except OSError: + return False + return any(magic_number.startswith(cls_magic_number) for cls_magic_number in cls.magic_numbers) + + +class TarExtractor(BaseExtractor): + @classmethod + def is_extractable(cls, path: Union[Path, str], **kwargs) -> bool: + return tarfile.is_tarfile(path) + + @staticmethod + def safemembers(members, output_path): + """ + Fix for CVE-2007-4559 + Desc: + Directory traversal vulnerability in the (1) extract and (2) extractall functions in the tarfile + module in Python allows user-assisted remote attackers to overwrite arbitrary files via a .. (dot dot) + sequence in filenames in a TAR archive, a related issue to CVE-2001-1267. + See: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2007-4559 + From: https://stackoverflow.com/a/10077309 + """ + + def resolved(path: str) -> str: + return os.path.realpath(os.path.abspath(path)) + + def badpath(path: str, base: str) -> bool: + # joinpath will ignore base if path is absolute + return not resolved(os.path.join(base, path)).startswith(base) + + def badlink(info, base: str) -> bool: + # Links are interpreted relative to the directory containing the link + tip = resolved(os.path.join(base, os.path.dirname(info.name))) + return badpath(info.linkname, base=tip) + + base = resolved(output_path) + + for finfo in members: + if badpath(finfo.name, base): + logger.error(f"Extraction of {finfo.name} is blocked (illegal path)") + elif finfo.issym() and badlink(finfo, base): + logger.error(f"Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}") + elif finfo.islnk() and badlink(finfo, base): + logger.error(f"Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}") + else: + yield finfo + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + os.makedirs(output_path, exist_ok=True) + tar_file = tarfile.open(input_path) + tar_file.extractall(output_path, members=TarExtractor.safemembers(tar_file, output_path)) + tar_file.close() + + +class GzipExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x1f\x8b"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + with gzip.open(input_path, "rb") as gzip_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(gzip_file, extracted_file) + + +class ZipExtractor(MagicNumberBaseExtractor): + magic_numbers = [ + b"PK\x03\x04", + b"PK\x05\x06", # empty archive + b"PK\x07\x08", # spanned archive + ] + + @classmethod + def is_extractable(cls, path: Union[Path, str], magic_number: bytes = b"") -> bool: + if super().is_extractable(path, magic_number=magic_number): + return True + try: + # Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives. + # From: https://github.com/python/cpython/pull/5053 + from zipfile import ( + _CD_SIGNATURE, + _ECD_DISK_NUMBER, + _ECD_DISK_START, + _ECD_ENTRIES_TOTAL, + _ECD_OFFSET, + _ECD_SIZE, + _EndRecData, + sizeCentralDir, + stringCentralDir, + structCentralDir, + ) + + with open(path, "rb") as fp: + endrec = _EndRecData(fp) + if endrec: + if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0: + return True # Empty zipfiles are still zipfiles + elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]: + fp.seek(endrec[_ECD_OFFSET]) # Central directory is on the same disk + if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir: + data = fp.read(sizeCentralDir) # CD is where we expect it to be + if len(data) == sizeCentralDir: + centdir = struct.unpack(structCentralDir, data) # CD is the right size + if centdir[_CD_SIGNATURE] == stringCentralDir: + return True # First central directory entry has correct magic number + return False + except Exception: # catch all errors in case future python versions change the zipfile internals + return False + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + os.makedirs(output_path, exist_ok=True) + with zipfile.ZipFile(input_path, "r") as zip_file: + zip_file.extractall(output_path) + zip_file.close() + + +class XzExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\xfd\x37\x7a\x58\x5a\x00"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + with lzma.open(input_path) as compressed_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(compressed_file, extracted_file) + + +class RarExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"Rar!\x1a\x07\x00", b"Rar!\x1a\x07\x01\x00"] # RAR_ID # RAR5_ID + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.RARFILE_AVAILABLE: + raise ImportError("Please pip install rarfile") + import rarfile + + os.makedirs(output_path, exist_ok=True) + rf = rarfile.RarFile(input_path) + rf.extractall(output_path) + rf.close() + + +class ZstdExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x28\xb5\x2f\xfd"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.ZSTANDARD_AVAILABLE: + raise ImportError("Please pip install zstandard") + import zstandard as zstd + + dctx = zstd.ZstdDecompressor() + with open(input_path, "rb") as ifh, open(output_path, "wb") as ofh: + dctx.copy_stream(ifh, ofh) + + +class Bzip2Extractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x42\x5a\x68"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + with bz2.open(input_path, "rb") as compressed_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(compressed_file, extracted_file) + + +class SevenZipExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x37\x7a\xbc\xaf\x27\x1c"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.PY7ZR_AVAILABLE: + raise ImportError("Please pip install py7zr") + import py7zr + + os.makedirs(output_path, exist_ok=True) + with py7zr.SevenZipFile(input_path, "r") as archive: + archive.extractall(output_path) + + +class Lz4Extractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x04\x22\x4d\x18"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.LZ4_AVAILABLE: + raise ImportError("Please pip install lz4") + import lz4.frame + + with lz4.frame.open(input_path, "rb") as compressed_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(compressed_file, extracted_file) + + +class Extractor: + # Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip) + extractors: Dict[str, Type[BaseExtractor]] = { + "tar": TarExtractor, + "gzip": GzipExtractor, + "zip": ZipExtractor, + "xz": XzExtractor, + "rar": RarExtractor, + "zstd": ZstdExtractor, + "bz2": Bzip2Extractor, + "7z": SevenZipExtractor, # + "lz4": Lz4Extractor, # + } + + @classmethod + def _get_magic_number_max_length(cls): + return max( + len(extractor_magic_number) + for extractor in cls.extractors.values() + if issubclass(extractor, MagicNumberBaseExtractor) + for extractor_magic_number in extractor.magic_numbers + ) + + @staticmethod + def _read_magic_number(path: Union[Path, str], magic_number_length: int): + try: + return MagicNumberBaseExtractor.read_magic_number(path, magic_number_length=magic_number_length) + except OSError: + return b"" + + @classmethod + def is_extractable(cls, path: Union[Path, str], return_extractor: bool = False) -> bool: + warnings.warn( + "Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. " + "Use 'infer_extractor_format' instead.", + category=FutureWarning, + ) + extractor_format = cls.infer_extractor_format(path) + if extractor_format: + return True if not return_extractor else (True, cls.extractors[extractor_format]) + return False if not return_extractor else (False, None) + + @classmethod + def infer_extractor_format(cls, path: Union[Path, str]) -> str: # + magic_number_max_length = cls._get_magic_number_max_length() + magic_number = cls._read_magic_number(path, magic_number_max_length) + for extractor_format, extractor in cls.extractors.items(): + if extractor.is_extractable(path, magic_number=magic_number): + return extractor_format + + @classmethod + def extract( + cls, + input_path: Union[Path, str], + output_path: Union[Path, str], + extractor_format: Optional[str] = None, # + extractor: Optional[BaseExtractor] = "deprecated", + ) -> None: + os.makedirs(os.path.dirname(output_path), exist_ok=True) + # Prevent parallel extractions + lock_path = str(Path(output_path).with_suffix(".lock")) + with FileLock(lock_path): + shutil.rmtree(output_path, ignore_errors=True) + if extractor_format or extractor != "deprecated": + if extractor != "deprecated" or not isinstance(extractor_format, str): # passed as positional arg + warnings.warn( + "Parameter 'extractor' was deprecated in version 2.4.0 and will be removed in 3.0.0. " + "Use 'extractor_format' instead.", + category=FutureWarning, + ) + extractor = extractor if extractor != "deprecated" else extractor_format + else: + extractor = cls.extractors[extractor_format] + return extractor.extract(input_path, output_path) + else: + warnings.warn( + "Parameter 'extractor_format' was made required in version 2.4.0 and not passing it will raise an " + "exception in 3.0.0.", + category=FutureWarning, + ) + for extractor in cls.extractors.values(): + if extractor.is_extractable(input_path): + return extractor.extract(input_path, output_path) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/hub.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/hub.py new file mode 100644 index 0000000000000000000000000000000000000000..f19181b41b1ba8a2e30ea3c79853db7cce0213fb --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/hub.py @@ -0,0 +1,64 @@ +import time +from functools import partial + +from huggingface_hub import HfApi, hf_hub_url +from huggingface_hub.hf_api import RepoFile +from packaging import version +from requests import ConnectionError, HTTPError + +from .. import config +from . import logging + + +logger = logging.get_logger(__name__) + +# Retry `preupload_lfs_files` in `huggingface_hub<0.20.0` on the "500 (Internal Server Error)" and "503 (Service Unavailable)" HTTP errors +if config.HF_HUB_VERSION.release < version.parse("0.20.0").release: + + def preupload_lfs_files(hf_api: HfApi, **kwargs): + max_retries = 5 + base_wait_time = 1 + max_wait_time = 8 + retry = 0 + while True: + try: + hf_api.preupload_lfs_files(**kwargs) + except (RuntimeError, HTTPError, ConnectionError) as err: + if isinstance(err, RuntimeError): + if isinstance(err.__cause__, (HTTPError, ConnectionError)): + err = err.__cause__ + else: + raise err + if retry >= max_retries or err.response and err.response.status_code not in [500, 503]: + raise err + else: + sleep_time = min(max_wait_time, base_wait_time * 2**retry) # Exponential backoff + logger.info( + f"{hf_api.preupload_lfs_files} timed out, retrying in {sleep_time}s... [{retry/max_retries}]" + ) + time.sleep(sleep_time) + retry += 1 + else: + break +else: + + def preupload_lfs_files(hf_api: HfApi, **kwargs): + hf_api.preupload_lfs_files(**kwargs) + + +# `list_files_info` is deprecated in favor of `list_repo_tree` in `huggingface_hub>=0.20.0` +if config.HF_HUB_VERSION.release < version.parse("0.20.0").release: + + def list_files_info(hf_api: HfApi, **kwargs): + yield from hf_api.list_files_info(**kwargs) +else: + + def list_files_info(hf_api: HfApi, **kwargs): + kwargs = {**kwargs, "recursive": True} + for repo_path in hf_api.list_repo_tree(**kwargs): + if isinstance(repo_path, RepoFile): + yield repo_path + + +# bakckward compatibility +hf_hub_url = partial(hf_hub_url, repo_type="dataset") diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/metadata.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/metadata.py new file mode 100644 index 0000000000000000000000000000000000000000..d2e763e9cb6a150db3c7a6a46b0f60bd7f799b1e --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/metadata.py @@ -0,0 +1,320 @@ +import re +import textwrap +from collections import Counter +from itertools import groupby +from operator import itemgetter +from pathlib import Path +from typing import Any, ClassVar, Dict, List, Optional, Tuple, Union + +import yaml +from huggingface_hub import DatasetCardData + +from ..config import METADATA_CONFIGS_FIELD +from ..info import DatasetInfo, DatasetInfosDict +from ..naming import _split_re +from ..utils.logging import get_logger +from .deprecation_utils import deprecated + + +logger = get_logger(__name__) + + +class _NoDuplicateSafeLoader(yaml.SafeLoader): + def _check_no_duplicates_on_constructed_node(self, node): + keys = [self.constructed_objects[key_node] for key_node, _ in node.value] + keys = [tuple(key) if isinstance(key, list) else key for key in keys] + counter = Counter(keys) + duplicate_keys = [key for key in counter if counter[key] > 1] + if duplicate_keys: + raise TypeError(f"Got duplicate yaml keys: {duplicate_keys}") + + def construct_mapping(self, node, deep=False): + mapping = super().construct_mapping(node, deep=deep) + self._check_no_duplicates_on_constructed_node(node) + return mapping + + +def _split_yaml_from_readme(readme_content: str) -> Tuple[Optional[str], str]: + full_content = list(readme_content.splitlines()) + if full_content and full_content[0] == "---" and "---" in full_content[1:]: + sep_idx = full_content[1:].index("---") + 1 + yamlblock = "\n".join(full_content[1:sep_idx]) + return yamlblock, "\n".join(full_content[sep_idx + 1 :]) + + return None, "\n".join(full_content) + + +@deprecated("Use `huggingface_hub.DatasetCardData` instead.") +class DatasetMetadata(dict): + # class attributes + _FIELDS_WITH_DASHES = {"train_eval_index"} # train-eval-index in the YAML metadata + + @classmethod + def from_readme(cls, path: Union[Path, str]) -> "DatasetMetadata": + """Loads and validates the dataset metadata from its dataset card (README.md) + + Args: + path (:obj:`Path`): Path to the dataset card (its README.md file) + + Returns: + :class:`DatasetMetadata`: The dataset's metadata + + Raises: + :obj:`TypeError`: If the dataset's metadata is invalid + """ + with open(path, encoding="utf-8") as readme_file: + yaml_string, _ = _split_yaml_from_readme(readme_file.read()) + if yaml_string is not None: + return cls.from_yaml_string(yaml_string) + else: + return cls() + + def to_readme(self, path: Path): + if path.exists(): + with open(path, encoding="utf-8") as readme_file: + readme_content = readme_file.read() + else: + readme_content = None + updated_readme_content = self._to_readme(readme_content) + with open(path, "w", encoding="utf-8") as readme_file: + readme_file.write(updated_readme_content) + + def _to_readme(self, readme_content: Optional[str] = None) -> str: + if readme_content is not None: + _, content = _split_yaml_from_readme(readme_content) + full_content = "---\n" + self.to_yaml_string() + "---\n" + content + else: + full_content = "---\n" + self.to_yaml_string() + "---\n" + return full_content + + @classmethod + def from_yaml_string(cls, string: str) -> "DatasetMetadata": + """Loads and validates the dataset metadata from a YAML string + + Args: + string (:obj:`str`): The YAML string + + Returns: + :class:`DatasetMetadata`: The dataset's metadata + + Raises: + :obj:`TypeError`: If the dataset's metadata is invalid + """ + metadata_dict = yaml.load(string, Loader=_NoDuplicateSafeLoader) or {} + + # Convert the YAML keys to DatasetMetadata fields + metadata_dict = { + (key.replace("-", "_") if key.replace("-", "_") in cls._FIELDS_WITH_DASHES else key): value + for key, value in metadata_dict.items() + } + return cls(**metadata_dict) + + def to_yaml_string(self) -> str: + return yaml.safe_dump( + { + (key.replace("_", "-") if key in self._FIELDS_WITH_DASHES else key): value + for key, value in self.items() + }, + sort_keys=False, + allow_unicode=True, + encoding="utf-8", + ).decode("utf-8") + + +class MetadataConfigs(Dict[str, Dict[str, Any]]): + """Should be in format {config_name: {**config_params}}.""" + + FIELD_NAME: ClassVar[str] = METADATA_CONFIGS_FIELD + + @staticmethod + def _raise_if_data_files_field_not_valid(metadata_config: dict): + yaml_data_files = metadata_config.get("data_files") + if yaml_data_files is not None: + yaml_error_message = textwrap.dedent( + f""" + Expected data_files in YAML to be either a string or a list of strings + or a list of dicts with two keys: 'split' and 'path', but got {yaml_data_files} + Examples of data_files in YAML: + + data_files: data.csv + + data_files: data/*.png + + data_files: + - part0/* + - part1/* + + data_files: + - split: train + path: train/* + - split: test + path: test/* + + data_files: + - split: train + path: + - train/part1/* + - train/part2/* + - split: test + path: test/* + + PS: some symbols like dashes '-' are not allowed in split names + """ + ) + if not isinstance(yaml_data_files, (list, str)): + raise ValueError(yaml_error_message) + if isinstance(yaml_data_files, list): + for yaml_data_files_item in yaml_data_files: + if ( + not isinstance(yaml_data_files_item, (str, dict)) + or isinstance(yaml_data_files_item, dict) + and not ( + len(yaml_data_files_item) == 2 + and "split" in yaml_data_files_item + and re.match(_split_re, yaml_data_files_item["split"]) + and isinstance(yaml_data_files_item.get("path"), (str, list)) + ) + ): + raise ValueError(yaml_error_message) + + @classmethod + def _from_exported_parquet_files_and_dataset_infos( + cls, + revision: str, + exported_parquet_files: List[Dict[str, Any]], + dataset_infos: DatasetInfosDict, + ) -> "MetadataConfigs": + metadata_configs = { + config_name: { + "data_files": [ + { + "split": split_name, + "path": [ + parquet_file["url"].replace("refs%2Fconvert%2Fparquet", revision) + for parquet_file in parquet_files_for_split + ], + } + for split_name, parquet_files_for_split in groupby(parquet_files_for_config, itemgetter("split")) + ], + "version": str(dataset_infos.get(config_name, DatasetInfo()).version or "0.0.0"), + } + for config_name, parquet_files_for_config in groupby(exported_parquet_files, itemgetter("config")) + } + if dataset_infos: + # Preserve order of configs and splits + metadata_configs = { + config_name: { + "data_files": [ + data_file + for split_name in dataset_info.splits + for data_file in metadata_configs[config_name]["data_files"] + if data_file["split"] == split_name + ], + "version": metadata_configs[config_name]["version"], + } + for config_name, dataset_info in dataset_infos.items() + } + return cls(metadata_configs) + + @classmethod + def from_dataset_card_data(cls, dataset_card_data: DatasetCardData) -> "MetadataConfigs": + if dataset_card_data.get(cls.FIELD_NAME): + metadata_configs = dataset_card_data[cls.FIELD_NAME] + if not isinstance(metadata_configs, list): + raise ValueError(f"Expected {cls.FIELD_NAME} to be a list, but got '{metadata_configs}'") + for metadata_config in metadata_configs: + if "config_name" not in metadata_config: + raise ValueError( + f"Each config must include `config_name` field with a string name of a config, " + f"but got {metadata_config}. " + ) + cls._raise_if_data_files_field_not_valid(metadata_config) + return cls( + { + config["config_name"]: {param: value for param, value in config.items() if param != "config_name"} + for config in metadata_configs + } + ) + return cls() + + def to_dataset_card_data(self, dataset_card_data: DatasetCardData) -> None: + if self: + for metadata_config in self.values(): + self._raise_if_data_files_field_not_valid(metadata_config) + current_metadata_configs = self.from_dataset_card_data(dataset_card_data) + total_metadata_configs = dict(sorted({**current_metadata_configs, **self}.items())) + for config_name, config_metadata in total_metadata_configs.items(): + config_metadata.pop("config_name", None) + dataset_card_data[self.FIELD_NAME] = [ + {"config_name": config_name, **config_metadata} + for config_name, config_metadata in total_metadata_configs.items() + ] + + def get_default_config_name(self) -> Optional[str]: + default_config_name = None + for config_name, metadata_config in self.items(): + if len(self) == 1 or config_name == "default" or metadata_config.get("default"): + if default_config_name is None: + default_config_name = config_name + else: + raise ValueError( + f"Dataset has several default configs: '{default_config_name}' and '{config_name}'." + ) + return default_config_name + + +# DEPRECATED - just here to support old versions of evaluate like 0.2.2 +# To support new tasks on the Hugging Face Hub, please open a PR for this file: +# https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts +known_task_ids = { + "image-classification": [], + "translation": [], + "image-segmentation": [], + "fill-mask": [], + "automatic-speech-recognition": [], + "token-classification": [], + "sentence-similarity": [], + "audio-classification": [], + "question-answering": [], + "summarization": [], + "zero-shot-classification": [], + "table-to-text": [], + "feature-extraction": [], + "other": [], + "multiple-choice": [], + "text-classification": [], + "text-to-image": [], + "text2text-generation": [], + "zero-shot-image-classification": [], + "tabular-classification": [], + "tabular-regression": [], + "image-to-image": [], + "tabular-to-text": [], + "unconditional-image-generation": [], + "text-retrieval": [], + "text-to-speech": [], + "object-detection": [], + "audio-to-audio": [], + "text-generation": [], + "conversational": [], + "table-question-answering": [], + "visual-question-answering": [], + "image-to-text": [], + "reinforcement-learning": [], + "voice-activity-detection": [], + "time-series-forecasting": [], + "document-question-answering": [], +} + + +if __name__ == "__main__": + from argparse import ArgumentParser + + ap = ArgumentParser(usage="Validate the yaml metadata block of a README.md file.") + ap.add_argument("readme_filepath") + args = ap.parse_args() + + readme_filepath = Path(args.readme_filepath) + dataset_metadata = DatasetMetadata.from_readme(readme_filepath) + print(dataset_metadata) + dataset_metadata.to_readme(readme_filepath) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/__init__.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/__pycache__/__init__.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ddbce2ff84fdfb2d8680633e07b49e98ca7dcaf9 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/__pycache__/__init__.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/creators.json b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/creators.json new file mode 100644 index 0000000000000000000000000000000000000000..d9e15f0039cc27ed8abd9fdf394423a3fada2c95 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/creators.json @@ -0,0 +1,17 @@ +{ + "language": [ + "found", + "crowdsourced", + "expert-generated", + "machine-generated", + "other" + ], + "annotations": [ + "found", + "crowdsourced", + "expert-generated", + "machine-generated", + "no-annotation", + "other" + ] +} diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/languages.json b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/languages.json new file mode 100644 index 0000000000000000000000000000000000000000..ea7686f956b898af3faf97b86be89b71d88855d4 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/languages.json @@ -0,0 +1,8026 @@ +{ + "code": "Programming language (C++, Java, Javascript, Python, etc.)", + "aa": "Afar", + "aaa": "Ghotuo", + "aab": "Alumu-Tesu", + "aac": "Ari", + "aad": "Amal", + "aae": "Arbëreshë Albanian", + "aaf": "Aranadan", + "aag": "Ambrak", + "aah": "Abu' Arapesh", + "aai": "Arifama-Miniafia", + "aak": "Ankave", + "aal": "Afade", + "aan": "Anambé", + "aao": "Algerian Saharan Arabic", + "aap": "Pará Arára", + "aaq": "Eastern Abnaki", + "aas": "Aasáx", + "aat": "Arvanitika Albanian", + "aau": "Abau", + "aav": "Austro-Asiatic languages", + "aaw": "Solong", + "aax": "Mandobo Atas", + "aaz": "Amarasi", + "ab": "Abkhazian", + "aba": "Abé", + "abb": "Bankon", + "abc": "Ambala Ayta", + "abd": "Manide", + "abe": "Western Abnaki", + "abf": "Abai Sungai", + "abg": "Abaga", + "abh": "Tajiki Arabic", + "abi": "Abidji", + "abj": "Aka-Bea", + "abl": "Lampung Nyo", + "abm": "Abanyom", + "abn": "Abua", + "abo": "Abon", + "abp": "Abellen Ayta", + "abq": "Abaza", + "abr": "Abron", + "abs": "Ambonese Malay", + "abt": "Ambulas", + "abu": "Abure", + "abv": "Baharna Arabic", + "abw": "Pal", + "abx": "Inabaknon", + "aby": "Aneme Wake", + "abz": "Abui", + "aca": "Achagua", + "acb": "Áncá", + "acd": "Gikyode", + "ace": "Achinese", + "acf": "Saint Lucian Creole French", + "ach": "Acoli", + "aci": "Aka-Cari", + "ack": "Aka-Kora", + "acl": "Akar-Bale", + "acm": "Mesopotamian Arabic", + "acn": "Achang", + "acp": "Eastern Acipa", + "acq": "Ta'izzi-Adeni Arabic", + "acr": "Achi", + "acs": "Acroá", + "act": "Achterhoeks", + "acu": "Achuar-Shiwiar", + "acv": "Achumawi", + "acw": "Hijazi Arabic", + "acx": "Omani Arabic", + "acy": "Cypriot Arabic", + "acz": "Acheron", + "ada": "Adangme", + "adb": "Atauran", + "add": "Lidzonka; Dzodinka", + "ade": "Adele", + "adf": "Dhofari Arabic", + "adg": "Andegerebinha", + "adh": "Adhola", + "adi": "Adi", + "adj": "Adioukrou", + "adl": "Galo", + "adn": "Adang", + "ado": "Abu", + "adq": "Adangbe", + "adr": "Adonara", + "ads": "Adamorobe Sign Language", + "adt": "Adnyamathanha", + "adu": "Aduge", + "adw": "Amundava", + "adx": "Amdo Tibetan", + "ady": "Adyghe; Adygei", + "adz": "Adzera", + "ae": "Avestan", + "aea": "Areba", + "aeb": "Tunisian Arabic", + "aec": "Saidi Arabic", + "aed": "Argentine Sign Language", + "aee": "Northeast Pashai; Northeast Pashayi", + "aek": "Haeke", + "ael": "Ambele", + "aem": "Arem", + "aen": "Armenian Sign Language", + "aeq": "Aer", + "aer": "Eastern Arrernte", + "aes": "Alsea", + "aeu": "Akeu", + "aew": "Ambakich", + "aey": "Amele", + "aez": "Aeka", + "af": "Afrikaans", + "afa": "Afro-Asiatic languages", + "afb": "Gulf Arabic", + "afd": "Andai", + "afe": "Putukwam", + "afg": "Afghan Sign Language", + "afh": "Afrihili", + "afi": "Akrukay; Chini", + "afk": "Nanubae", + "afn": "Defaka", + "afo": "Eloyi", + "afp": "Tapei", + "afs": "Afro-Seminole Creole", + "aft": "Afitti", + "afu": "Awutu", + "afz": "Obokuitai", + "aga": "Aguano", + "agb": "Legbo", + "agc": "Agatu", + "agd": "Agarabi", + "age": "Angal", + "agf": "Arguni", + "agg": "Angor", + "agh": "Ngelima", + "agi": "Agariya", + "agj": "Argobba", + "agk": "Isarog Agta", + "agl": "Fembe", + "agm": "Angaataha", + "agn": "Agutaynen", + "ago": "Tainae", + "agq": "Aghem", + "agr": "Aguaruna", + "ags": "Esimbi", + "agt": "Central Cagayan Agta", + "agu": "Aguacateco", + "agv": "Remontado Dumagat", + "agw": "Kahua", + "agx": "Aghul", + "agy": "Southern Alta", + "agz": "Mt. Iriga Agta", + "aha": "Ahanta", + "ahb": "Axamb", + "ahg": "Qimant", + "ahh": "Aghu", + "ahi": "Tiagbamrin Aizi", + "ahk": "Akha", + "ahl": "Igo", + "ahm": "Mobumrin Aizi", + "ahn": "Àhàn", + "aho": "Ahom", + "ahp": "Aproumu Aizi", + "ahr": "Ahirani", + "ahs": "Ashe", + "aht": "Ahtena", + "aia": "Arosi", + "aib": "Ainu (China)", + "aic": "Ainbai", + "aid": "Alngith", + "aie": "Amara", + "aif": "Agi", + "aig": "Antigua and Barbuda Creole English", + "aih": "Ai-Cham", + "aii": "Assyrian Neo-Aramaic", + "aij": "Lishanid Noshan", + "aik": "Ake", + "ail": "Aimele", + "aim": "Aimol", + "ain": "Ainu (Japan)", + "aio": "Aiton", + "aip": "Burumakok", + "aiq": "Aimaq", + "air": "Airoran", + "ait": "Arikem", + "aiw": "Aari", + "aix": "Aighon", + "aiy": "Ali", + "aja": "Aja (South Sudan)", + "ajg": "Aja (Benin)", + "aji": "Ajië", + "ajn": "Andajin", + "ajp": "South Levantine Arabic", + "ajs": "Algerian Jewish Sign Language", + "aju": "Judeo-Moroccan Arabic", + "ajw": "Ajawa", + "ajz": "Amri Karbi", + "ak": "Akan", + "akb": "Batak Angkola", + "akc": "Mpur", + "akd": "Ukpet-Ehom", + "ake": "Akawaio", + "akf": "Akpa", + "akg": "Anakalangu", + "akh": "Angal Heneng", + "aki": "Aiome", + "akj": "Aka-Jeru", + "akk": "Akkadian", + "akl": "Aklanon", + "akm": "Aka-Bo", + "ako": "Akurio", + "akp": "Siwu", + "akq": "Ak", + "akr": "Araki", + "aks": "Akaselem", + "akt": "Akolet", + "aku": "Akum", + "akv": "Akhvakh", + "akw": "Akwa", + "akx": "Aka-Kede", + "aky": "Aka-Kol", + "akz": "Alabama", + "ala": "Alago", + "alc": "Qawasqar", + "ald": "Alladian", + "ale": "Aleut", + "alf": "Alege", + "alg": "Algonquian languages", + "alh": "Alawa", + "ali": "Amaimon", + "alj": "Alangan", + "alk": "Alak", + "all": "Allar", + "alm": "Amblong", + "aln": "Gheg Albanian", + "alo": "Larike-Wakasihu", + "alp": "Alune", + "alq": "Algonquin", + "alr": "Alutor", + "als": "Tosk Albanian", + "alt": "Southern Altai", + "alu": "'Are'are", + "alv": "Atlantic-Congo languages", + "alw": "Alaba-K’abeena; Wanbasana", + "alx": "Amol", + "aly": "Alyawarr", + "alz": "Alur", + "am": "Amharic", + "ama": "Amanayé", + "amb": "Ambo", + "amc": "Amahuaca", + "ame": "Yanesha'", + "amf": "Hamer-Banna", + "amg": "Amurdak", + "ami": "Amis", + "amj": "Amdang", + "amk": "Ambai", + "aml": "War-Jaintia", + "amm": "Ama (Papua New Guinea)", + "amn": "Amanab", + "amo": "Amo", + "amp": "Alamblak", + "amq": "Amahai", + "amr": "Amarakaeri", + "ams": "Southern Amami-Oshima", + "amt": "Amto", + "amu": "Guerrero Amuzgo", + "amv": "Ambelau", + "amw": "Western Neo-Aramaic", + "amx": "Anmatyerre", + "amy": "Ami", + "amz": "Atampaya", + "an": "Aragonese", + "ana": "Andaqui", + "anb": "Andoa", + "anc": "Ngas", + "and": "Ansus", + "ane": "Xârâcùù", + "anf": "Animere", + "ang": "Old English (ca. 450-1100)", + "anh": "Nend", + "ani": "Andi", + "anj": "Anor", + "ank": "Goemai", + "anl": "Anu-Hkongso Chin", + "anm": "Anal", + "ann": "Obolo", + "ano": "Andoque", + "anp": "Angika", + "anq": "Jarawa (India)", + "anr": "Andh", + "ans": "Anserma", + "ant": "Antakarinya; Antikarinya", + "anu": "Anuak", + "anv": "Denya", + "anw": "Anaang", + "anx": "Andra-Hus", + "any": "Anyin", + "anz": "Anem", + "aoa": "Angolar", + "aob": "Abom", + "aoc": "Pemon", + "aod": "Andarum", + "aoe": "Angal Enen", + "aof": "Bragat", + "aog": "Angoram", + "aoi": "Anindilyakwa", + "aoj": "Mufian", + "aok": "Arhö", + "aol": "Alor", + "aom": "Ömie", + "aon": "Bumbita Arapesh", + "aor": "Aore", + "aos": "Taikat", + "aot": "Atong (India); A'tong", + "aou": "A'ou", + "aox": "Atorada", + "aoz": "Uab Meto", + "apa": "Apache languages", + "apb": "Sa'a", + "apc": "North Levantine Arabic", + "apd": "Sudanese Arabic", + "ape": "Bukiyip", + "apf": "Pahanan Agta", + "apg": "Ampanang", + "aph": "Athpariya", + "api": "Apiaká", + "apj": "Jicarilla Apache", + "apk": "Kiowa Apache", + "apl": "Lipan Apache", + "apm": "Mescalero-Chiricahua Apache", + "apn": "Apinayé", + "apo": "Ambul", + "app": "Apma", + "apq": "A-Pucikwar", + "apr": "Arop-Lokep", + "aps": "Arop-Sissano", + "apt": "Apatani", + "apu": "Apurinã", + "apv": "Alapmunte", + "apw": "Western Apache", + "apx": "Aputai", + "apy": "Apalaí", + "apz": "Safeyoka", + "aqa": "Alacalufan languages", + "aqc": "Archi", + "aqd": "Ampari Dogon", + "aqg": "Arigidi", + "aqk": "Aninka", + "aql": "Algic languages", + "aqm": "Atohwaim", + "aqn": "Northern Alta", + "aqp": "Atakapa", + "aqr": "Arhâ", + "aqt": "Angaité", + "aqz": "Akuntsu", + "ar": "Arabic", + "arb": "Standard Arabic", + "arc": "Official Aramaic (700-300 BCE); Imperial Aramaic (700-300 BCE)", + "ard": "Arabana", + "are": "Western Arrarnta", + "arh": "Arhuaco", + "ari": "Arikara", + "arj": "Arapaso", + "ark": "Arikapú", + "arl": "Arabela", + "arn": "Mapudungun; Mapuche", + "aro": "Araona", + "arp": "Arapaho", + "arq": "Algerian Arabic", + "arr": "Karo (Brazil)", + "ars": "Najdi Arabic", + "art": "Artificial languages", + "aru": "Aruá (Amazonas State); Arawá", + "arv": "Arbore", + "arw": "Arawak", + "arx": "Aruá (Rodonia State)", + "ary": "Moroccan Arabic", + "arz": "Egyptian Arabic", + "as": "Assamese", + "asa": "Asu (Tanzania)", + "asb": "Assiniboine", + "asc": "Casuarina Coast Asmat", + "ase": "American Sign Language", + "asf": "Auslan; Australian Sign Language", + "asg": "Cishingini", + "ash": "Abishira", + "asi": "Buruwai", + "asj": "Sari", + "ask": "Ashkun", + "asl": "Asilulu", + "asn": "Xingú Asuriní", + "aso": "Dano", + "asp": "Algerian Sign Language", + "asq": "Austrian Sign Language", + "asr": "Asuri", + "ass": "Ipulo", + "ast": "Asturian; Asturleonese; Bable; Leonese", + "asu": "Tocantins Asurini", + "asv": "Asoa", + "asw": "Australian Aborigines Sign Language", + "asx": "Muratayak", + "asy": "Yaosakor Asmat", + "asz": "As", + "ata": "Pele-Ata", + "atb": "Zaiwa", + "atc": "Atsahuaca", + "atd": "Ata Manobo", + "ate": "Atemble", + "atg": "Ivbie North-Okpela-Arhe", + "ath": "Athapascan languages", + "ati": "Attié", + "atj": "Atikamekw", + "atk": "Ati", + "atl": "Mt. Iraya Agta", + "atm": "Ata", + "atn": "Ashtiani", + "ato": "Atong (Cameroon)", + "atp": "Pudtol Atta", + "atq": "Aralle-Tabulahan", + "atr": "Waimiri-Atroari", + "ats": "Gros Ventre", + "att": "Pamplona Atta", + "atu": "Reel", + "atv": "Northern Altai", + "atw": "Atsugewi", + "atx": "Arutani", + "aty": "Aneityum", + "atz": "Arta", + "aua": "Asumboa", + "aub": "Alugu", + "auc": "Waorani", + "aud": "Anuta", + "auf": "Arauan languages", + "aug": "Aguna", + "auh": "Aushi", + "aui": "Anuki", + "auj": "Awjilah", + "auk": "Heyo", + "aul": "Aulua", + "aum": "Asu (Nigeria)", + "aun": "Molmo One", + "auo": "Auyokawa", + "aup": "Makayam", + "auq": "Anus; Korur", + "aur": "Aruek", + "aus": "Australian languages", + "aut": "Austral", + "auu": "Auye", + "auw": "Awyi", + "aux": "Aurá", + "auy": "Awiyaana", + "auz": "Uzbeki Arabic", + "av": "Avaric", + "avb": "Avau", + "avd": "Alviri-Vidari", + "avi": "Avikam", + "avk": "Kotava", + "avl": "Eastern Egyptian Bedawi Arabic", + "avm": "Angkamuthi", + "avn": "Avatime", + "avo": "Agavotaguerra", + "avs": "Aushiri", + "avt": "Au", + "avu": "Avokaya", + "avv": "Avá-Canoeiro", + "awa": "Awadhi", + "awb": "Awa (Papua New Guinea)", + "awc": "Cicipu", + "awd": "Arawakan languages", + "awe": "Awetí", + "awg": "Anguthimri", + "awh": "Awbono", + "awi": "Aekyom", + "awk": "Awabakal", + "awm": "Arawum", + "awn": "Awngi", + "awo": "Awak", + "awr": "Awera", + "aws": "South Awyu", + "awt": "Araweté", + "awu": "Central Awyu", + "awv": "Jair Awyu", + "aww": "Awun", + "awx": "Awara", + "awy": "Edera Awyu", + "axb": "Abipon", + "axe": "Ayerrerenge", + "axg": "Mato Grosso Arára", + "axk": "Yaka (Central African Republic)", + "axl": "Lower Southern Aranda", + "axm": "Middle Armenian", + "axx": "Xârâgurè", + "ay": "Aymara", + "aya": "Awar", + "ayb": "Ayizo Gbe", + "ayc": "Southern Aymara", + "ayd": "Ayabadhu", + "aye": "Ayere", + "ayg": "Ginyanga", + "ayh": "Hadrami Arabic", + "ayi": "Leyigha", + "ayk": "Akuku", + "ayl": "Libyan Arabic", + "ayn": "Sanaani Arabic", + "ayo": "Ayoreo", + "ayp": "North Mesopotamian Arabic", + "ayq": "Ayi (Papua New Guinea)", + "ayr": "Central Aymara", + "ays": "Sorsogon Ayta", + "ayt": "Magbukun Ayta", + "ayu": "Ayu", + "ayz": "Mai Brat", + "az": "Azerbaijani", + "aza": "Azha", + "azb": "South Azerbaijani", + "azc": "Uto-Aztecan languages", + "azd": "Eastern Durango Nahuatl", + "azg": "San Pedro Amuzgos Amuzgo", + "azj": "North Azerbaijani", + "azm": "Ipalapa Amuzgo", + "azn": "Western Durango Nahuatl", + "azo": "Awing", + "azt": "Faire Atta", + "azz": "Highland Puebla Nahuatl", + "ba": "Bashkir", + "baa": "Babatana", + "bab": "Bainouk-Gunyuño", + "bac": "Badui", + "bad": "Banda languages", + "bae": "Baré", + "baf": "Nubaca", + "bag": "Tuki", + "bah": "Bahamas Creole English", + "bai": "Bamileke languages", + "baj": "Barakai", + "bal": "Baluchi", + "ban": "Balinese", + "bao": "Waimaha", + "bap": "Bantawa", + "bar": "Bavarian", + "bas": "Basa (Cameroon)", + "bat": "Baltic languages", + "bau": "Bada (Nigeria)", + "bav": "Vengo", + "baw": "Bambili-Bambui", + "bax": "Bamun", + "bay": "Batuley", + "bba": "Baatonum", + "bbb": "Barai", + "bbc": "Batak Toba", + "bbd": "Bau", + "bbe": "Bangba", + "bbf": "Baibai", + "bbg": "Barama", + "bbh": "Bugan", + "bbi": "Barombi", + "bbj": "Ghomálá'", + "bbk": "Babanki", + "bbl": "Bats", + "bbm": "Babango", + "bbn": "Uneapa", + "bbo": "Northern Bobo Madaré; Konabéré", + "bbp": "West Central Banda", + "bbq": "Bamali", + "bbr": "Girawa", + "bbs": "Bakpinka", + "bbt": "Mburku", + "bbu": "Kulung (Nigeria)", + "bbv": "Karnai", + "bbw": "Baba", + "bbx": "Bubia", + "bby": "Befang", + "bca": "Central Bai", + "bcb": "Bainouk-Samik", + "bcc": "Southern Balochi", + "bcd": "North Babar", + "bce": "Bamenyam", + "bcf": "Bamu", + "bcg": "Baga Pokur", + "bch": "Bariai", + "bci": "Baoulé", + "bcj": "Bardi", + "bck": "Bunuba", + "bcl": "Central Bikol", + "bcm": "Bannoni", + "bcn": "Bali (Nigeria)", + "bco": "Kaluli", + "bcp": "Bali (Democratic Republic of Congo)", + "bcq": "Bench", + "bcr": "Babine", + "bcs": "Kohumono", + "bct": "Bendi", + "bcu": "Awad Bing", + "bcv": "Shoo-Minda-Nye", + "bcw": "Bana", + "bcy": "Bacama", + "bcz": "Bainouk-Gunyaamolo", + "bda": "Bayot", + "bdb": "Basap", + "bdc": "Emberá-Baudó", + "bdd": "Bunama", + "bde": "Bade", + "bdf": "Biage", + "bdg": "Bonggi", + "bdh": "Baka (South Sudan)", + "bdi": "Burun", + "bdj": "Bai (South Sudan); Bai", + "bdk": "Budukh", + "bdl": "Indonesian Bajau", + "bdm": "Buduma", + "bdn": "Baldemu", + "bdo": "Morom", + "bdp": "Bende", + "bdq": "Bahnar", + "bdr": "West Coast Bajau", + "bds": "Burunge", + "bdt": "Bokoto", + "bdu": "Oroko", + "bdv": "Bodo Parja", + "bdw": "Baham", + "bdx": "Budong-Budong", + "bdy": "Bandjalang", + "bdz": "Badeshi", + "be": "Belarusian", + "bea": "Beaver", + "beb": "Bebele", + "bec": "Iceve-Maci", + "bed": "Bedoanas", + "bee": "Byangsi", + "bef": "Benabena", + "beg": "Belait", + "beh": "Biali", + "bei": "Bekati'", + "bej": "Beja; Bedawiyet", + "bek": "Bebeli", + "bem": "Bemba (Zambia)", + "beo": "Beami", + "bep": "Besoa", + "beq": "Beembe", + "ber": "Berber languages", + "bes": "Besme", + "bet": "Guiberoua Béte", + "beu": "Blagar", + "bev": "Daloa Bété", + "bew": "Betawi", + "bex": "Jur Modo", + "bey": "Beli (Papua New Guinea)", + "bez": "Bena (Tanzania)", + "bfa": "Bari", + "bfb": "Pauri Bareli", + "bfc": "Panyi Bai; Northern Bai", + "bfd": "Bafut", + "bfe": "Betaf; Tena", + "bff": "Bofi", + "bfg": "Busang Kayan", + "bfh": "Blafe", + "bfi": "British Sign Language", + "bfj": "Bafanji", + "bfk": "Ban Khor Sign Language", + "bfl": "Banda-Ndélé", + "bfm": "Mmen", + "bfn": "Bunak", + "bfo": "Malba Birifor", + "bfp": "Beba", + "bfq": "Badaga", + "bfr": "Bazigar", + "bfs": "Southern Bai", + "bft": "Balti", + "bfu": "Gahri", + "bfw": "Bondo", + "bfx": "Bantayanon", + "bfy": "Bagheli", + "bfz": "Mahasu Pahari", + "bg": "Bulgarian", + "bga": "Gwamhi-Wuri", + "bgb": "Bobongko", + "bgc": "Haryanvi", + "bgd": "Rathwi Bareli", + "bge": "Bauria", + "bgf": "Bangandu", + "bgg": "Bugun", + "bgi": "Giangan", + "bgj": "Bangolan", + "bgk": "Bit; Buxinhua", + "bgl": "Bo (Laos)", + "bgn": "Western Balochi", + "bgo": "Baga Koga", + "bgp": "Eastern Balochi", + "bgq": "Bagri", + "bgr": "Bawm Chin", + "bgs": "Tagabawa", + "bgt": "Bughotu", + "bgu": "Mbongno", + "bgv": "Warkay-Bipim", + "bgw": "Bhatri", + "bgx": "Balkan Gagauz Turkish", + "bgy": "Benggoi", + "bgz": "Banggai", + "bh": "Bihari languages", + "bha": "Bharia", + "bhb": "Bhili", + "bhc": "Biga", + "bhd": "Bhadrawahi", + "bhe": "Bhaya", + "bhf": "Odiai", + "bhg": "Binandere", + "bhh": "Bukharic", + "bhi": "Bhilali", + "bhj": "Bahing", + "bhl": "Bimin", + "bhm": "Bathari", + "bhn": "Bohtan Neo-Aramaic", + "bho": "Bhojpuri", + "bhp": "Bima", + "bhq": "Tukang Besi South", + "bhr": "Bara Malagasy", + "bhs": "Buwal", + "bht": "Bhattiyali", + "bhu": "Bhunjia", + "bhv": "Bahau", + "bhw": "Biak", + "bhx": "Bhalay", + "bhy": "Bhele", + "bhz": "Bada (Indonesia)", + "bi": "Bislama", + "bia": "Badimaya", + "bib": "Bissa; Bisa", + "bid": "Bidiyo", + "bie": "Bepour", + "bif": "Biafada", + "big": "Biangai", + "bik": "Bikol", + "bil": "Bile", + "bim": "Bimoba", + "bin": "Bini; Edo", + "bio": "Nai", + "bip": "Bila", + "biq": "Bipi", + "bir": "Bisorio", + "bit": "Berinomo", + "biu": "Biete", + "biv": "Southern Birifor", + "biw": "Kol (Cameroon)", + "bix": "Bijori", + "biy": "Birhor", + "biz": "Baloi", + "bja": "Budza", + "bjb": "Banggarla", + "bjc": "Bariji", + "bje": "Biao-Jiao Mien", + "bjf": "Barzani Jewish Neo-Aramaic", + "bjg": "Bidyogo", + "bjh": "Bahinemo", + "bji": "Burji", + "bjj": "Kanauji", + "bjk": "Barok", + "bjl": "Bulu (Papua New Guinea)", + "bjm": "Bajelani", + "bjn": "Banjar", + "bjo": "Mid-Southern Banda", + "bjp": "Fanamaket", + "bjr": "Binumarien", + "bjs": "Bajan", + "bjt": "Balanta-Ganja", + "bju": "Busuu", + "bjv": "Bedjond", + "bjw": "Bakwé", + "bjx": "Banao Itneg", + "bjy": "Bayali", + "bjz": "Baruga", + "bka": "Kyak", + "bkc": "Baka (Cameroon)", + "bkd": "Binukid; Talaandig", + "bkf": "Beeke", + "bkg": "Buraka", + "bkh": "Bakoko", + "bki": "Baki", + "bkj": "Pande", + "bkk": "Brokskat", + "bkl": "Berik", + "bkm": "Kom (Cameroon)", + "bkn": "Bukitan", + "bko": "Kwa'", + "bkp": "Boko (Democratic Republic of Congo)", + "bkq": "Bakairí", + "bkr": "Bakumpai", + "bks": "Northern Sorsoganon", + "bkt": "Boloki", + "bku": "Buhid", + "bkv": "Bekwarra", + "bkw": "Bekwel", + "bkx": "Baikeno", + "bky": "Bokyi", + "bkz": "Bungku", + "bla": "Siksika", + "blb": "Bilua", + "blc": "Bella Coola", + "bld": "Bolango", + "ble": "Balanta-Kentohe", + "blf": "Buol", + "blh": "Kuwaa", + "bli": "Bolia", + "blj": "Bolongan", + "blk": "Pa'o Karen; Pa'O", + "bll": "Biloxi", + "blm": "Beli (South Sudan)", + "bln": "Southern Catanduanes Bikol", + "blo": "Anii", + "blp": "Blablanga", + "blq": "Baluan-Pam", + "blr": "Blang", + "bls": "Balaesang", + "blt": "Tai Dam", + "blv": "Kibala; Bolo", + "blw": "Balangao", + "blx": "Mag-Indi Ayta", + "bly": "Notre", + "blz": "Balantak", + "bm": "Bambara", + "bma": "Lame", + "bmb": "Bembe", + "bmc": "Biem", + "bmd": "Baga Manduri", + "bme": "Limassa", + "bmf": "Bom-Kim", + "bmg": "Bamwe", + "bmh": "Kein", + "bmi": "Bagirmi", + "bmj": "Bote-Majhi", + "bmk": "Ghayavi", + "bml": "Bomboli", + "bmm": "Northern Betsimisaraka Malagasy", + "bmn": "Bina (Papua New Guinea)", + "bmo": "Bambalang", + "bmp": "Bulgebi", + "bmq": "Bomu", + "bmr": "Muinane", + "bms": "Bilma Kanuri", + "bmt": "Biao Mon", + "bmu": "Somba-Siawari", + "bmv": "Bum", + "bmw": "Bomwali", + "bmx": "Baimak", + "bmz": "Baramu", + "bn": "Bengali; Bangla", + "bna": "Bonerate", + "bnb": "Bookan", + "bnc": "Bontok", + "bnd": "Banda (Indonesia)", + "bne": "Bintauna", + "bnf": "Masiwang", + "bng": "Benga", + "bni": "Bangi", + "bnj": "Eastern Tawbuid", + "bnk": "Bierebo", + "bnl": "Boon", + "bnm": "Batanga", + "bnn": "Bunun", + "bno": "Bantoanon", + "bnp": "Bola", + "bnq": "Bantik", + "bnr": "Butmas-Tur", + "bns": "Bundeli", + "bnt": "Bantu languages", + "bnu": "Bentong", + "bnv": "Bonerif; Beneraf; Edwas", + "bnw": "Bisis", + "bnx": "Bangubangu", + "bny": "Bintulu", + "bnz": "Beezen", + "bo": "Tibetan", + "boa": "Bora", + "bob": "Aweer", + "boe": "Mundabli", + "bof": "Bolon", + "bog": "Bamako Sign Language", + "boh": "Boma", + "boi": "Barbareño", + "boj": "Anjam", + "bok": "Bonjo", + "bol": "Bole", + "bom": "Berom", + "bon": "Bine", + "boo": "Tiemacèwè Bozo", + "bop": "Bonkiman", + "boq": "Bogaya", + "bor": "Borôro", + "bot": "Bongo", + "bou": "Bondei", + "bov": "Tuwuli", + "bow": "Rema", + "box": "Buamu", + "boy": "Bodo (Central African Republic)", + "boz": "Tiéyaxo Bozo", + "bpa": "Daakaka", + "bpc": "Mbuk", + "bpd": "Banda-Banda", + "bpe": "Bauni", + "bpg": "Bonggo", + "bph": "Botlikh", + "bpi": "Bagupi", + "bpj": "Binji", + "bpk": "Orowe; 'Ôrôê", + "bpl": "Broome Pearling Lugger Pidgin", + "bpm": "Biyom", + "bpn": "Dzao Min", + "bpo": "Anasi", + "bpp": "Kaure", + "bpq": "Banda Malay", + "bpr": "Koronadal Blaan", + "bps": "Sarangani Blaan", + "bpt": "Barrow Point", + "bpu": "Bongu", + "bpv": "Bian Marind", + "bpw": "Bo (Papua New Guinea)", + "bpx": "Palya Bareli", + "bpy": "Bishnupriya", + "bpz": "Bilba", + "bqa": "Tchumbuli", + "bqb": "Bagusa", + "bqc": "Boko (Benin); Boo", + "bqd": "Bung", + "bqf": "Baga Kaloum", + "bqg": "Bago-Kusuntu", + "bqh": "Baima", + "bqi": "Bakhtiari", + "bqj": "Bandial", + "bqk": "Banda-Mbrès", + "bql": "Bilakura", + "bqm": "Wumboko", + "bqn": "Bulgarian Sign Language", + "bqo": "Balo", + "bqp": "Busa", + "bqq": "Biritai", + "bqr": "Burusu", + "bqs": "Bosngun", + "bqt": "Bamukumbit", + "bqu": "Boguru", + "bqv": "Koro Wachi; Begbere-Ejar", + "bqw": "Buru (Nigeria)", + "bqx": "Baangi", + "bqy": "Bengkala Sign Language", + "bqz": "Bakaka", + "br": "Breton", + "bra": "Braj", + "brb": "Brao; Lave", + "brc": "Berbice Creole Dutch", + "brd": "Baraamu", + "brf": "Bira", + "brg": "Baure", + "brh": "Brahui", + "bri": "Mokpwe", + "brj": "Bieria", + "brk": "Birked", + "brl": "Birwa", + "brm": "Barambu", + "brn": "Boruca", + "bro": "Brokkat", + "brp": "Barapasi", + "brq": "Breri", + "brr": "Birao", + "brs": "Baras", + "brt": "Bitare", + "bru": "Eastern Bru", + "brv": "Western Bru", + "brw": "Bellari", + "brx": "Bodo (India)", + "bry": "Burui", + "brz": "Bilbil", + "bs": "Bosnian", + "bsa": "Abinomn", + "bsb": "Brunei Bisaya", + "bsc": "Bassari; Oniyan", + "bse": "Wushi", + "bsf": "Bauchi", + "bsg": "Bashkardi", + "bsh": "Kati", + "bsi": "Bassossi", + "bsj": "Bangwinji", + "bsk": "Burushaski", + "bsl": "Basa-Gumna", + "bsm": "Busami", + "bsn": "Barasana-Eduria", + "bso": "Buso", + "bsp": "Baga Sitemu", + "bsq": "Bassa", + "bsr": "Bassa-Kontagora", + "bss": "Akoose", + "bst": "Basketo", + "bsu": "Bahonsuai", + "bsv": "Baga Sobané", + "bsw": "Baiso", + "bsx": "Yangkam", + "bsy": "Sabah Bisaya", + "bta": "Bata", + "btc": "Bati (Cameroon)", + "btd": "Batak Dairi", + "bte": "Gamo-Ningi", + "btf": "Birgit", + "btg": "Gagnoa Bété", + "bth": "Biatah Bidayuh", + "bti": "Burate", + "btj": "Bacanese Malay", + "btk": "Batak languages", + "btm": "Batak Mandailing", + "btn": "Ratagnon", + "bto": "Rinconada Bikol", + "btp": "Budibud", + "btq": "Batek", + "btr": "Baetora", + "bts": "Batak Simalungun", + "btt": "Bete-Bendi", + "btu": "Batu", + "btv": "Bateri", + "btw": "Butuanon", + "btx": "Batak Karo", + "bty": "Bobot", + "btz": "Batak Alas-Kluet", + "bua": "Buriat", + "bub": "Bua", + "buc": "Bushi", + "bud": "Ntcham", + "bue": "Beothuk", + "buf": "Bushoong", + "bug": "Buginese", + "buh": "Younuo Bunu", + "bui": "Bongili", + "buj": "Basa-Gurmana", + "buk": "Bugawac", + "bum": "Bulu (Cameroon)", + "bun": "Sherbro", + "buo": "Terei", + "bup": "Busoa", + "buq": "Brem", + "bus": "Bokobaru", + "but": "Bungain", + "buu": "Budu", + "buv": "Bun", + "buw": "Bubi", + "bux": "Boghom", + "buy": "Bullom So", + "buz": "Bukwen", + "bva": "Barein", + "bvb": "Bube", + "bvc": "Baelelea", + "bvd": "Baeggu", + "bve": "Berau Malay", + "bvf": "Boor", + "bvg": "Bonkeng", + "bvh": "Bure", + "bvi": "Belanda Viri", + "bvj": "Baan", + "bvk": "Bukat", + "bvl": "Bolivian Sign Language", + "bvm": "Bamunka", + "bvn": "Buna", + "bvo": "Bolgo", + "bvp": "Bumang", + "bvq": "Birri", + "bvr": "Burarra", + "bvt": "Bati (Indonesia)", + "bvu": "Bukit Malay", + "bvv": "Baniva", + "bvw": "Boga", + "bvx": "Dibole", + "bvy": "Baybayanon", + "bvz": "Bauzi", + "bwa": "Bwatoo", + "bwb": "Namosi-Naitasiri-Serua", + "bwc": "Bwile", + "bwd": "Bwaidoka", + "bwe": "Bwe Karen", + "bwf": "Boselewa", + "bwg": "Barwe", + "bwh": "Bishuo", + "bwi": "Baniwa", + "bwj": "Láá Láá Bwamu", + "bwk": "Bauwaki", + "bwl": "Bwela", + "bwm": "Biwat", + "bwn": "Wunai Bunu", + "bwo": "Boro (Ethiopia); Borna (Ethiopia)", + "bwp": "Mandobo Bawah", + "bwq": "Southern Bobo Madaré", + "bwr": "Bura-Pabir", + "bws": "Bomboma", + "bwt": "Bafaw-Balong", + "bwu": "Buli (Ghana)", + "bww": "Bwa", + "bwx": "Bu-Nao Bunu", + "bwy": "Cwi Bwamu", + "bwz": "Bwisi", + "bxa": "Tairaha", + "bxb": "Belanda Bor", + "bxc": "Molengue", + "bxd": "Pela", + "bxe": "Birale", + "bxf": "Bilur; Minigir", + "bxg": "Bangala", + "bxh": "Buhutu", + "bxi": "Pirlatapa", + "bxj": "Bayungu", + "bxk": "Bukusu; Lubukusu", + "bxl": "Jalkunan", + "bxm": "Mongolia Buriat", + "bxn": "Burduna", + "bxo": "Barikanchi", + "bxp": "Bebil", + "bxq": "Beele", + "bxr": "Russia Buriat", + "bxs": "Busam", + "bxu": "China Buriat", + "bxv": "Berakou", + "bxw": "Bankagooma", + "bxz": "Binahari", + "bya": "Batak", + "byb": "Bikya", + "byc": "Ubaghara", + "byd": "Benyadu'", + "bye": "Pouye", + "byf": "Bete", + "byg": "Baygo", + "byh": "Bhujel", + "byi": "Buyu", + "byj": "Bina (Nigeria)", + "byk": "Biao", + "byl": "Bayono", + "bym": "Bidjara", + "byn": "Bilin; Blin", + "byo": "Biyo", + "byp": "Bumaji", + "byq": "Basay", + "byr": "Baruya; Yipma", + "bys": "Burak", + "byt": "Berti", + "byv": "Medumba", + "byw": "Belhariya", + "byx": "Qaqet", + "byz": "Banaro", + "bza": "Bandi", + "bzb": "Andio", + "bzc": "Southern Betsimisaraka Malagasy", + "bzd": "Bribri", + "bze": "Jenaama Bozo", + "bzf": "Boikin", + "bzg": "Babuza", + "bzh": "Mapos Buang", + "bzi": "Bisu", + "bzj": "Belize Kriol English", + "bzk": "Nicaragua Creole English", + "bzl": "Boano (Sulawesi)", + "bzm": "Bolondo", + "bzn": "Boano (Maluku)", + "bzo": "Bozaba", + "bzp": "Kemberano", + "bzq": "Buli (Indonesia)", + "bzr": "Biri", + "bzs": "Brazilian Sign Language", + "bzt": "Brithenig", + "bzu": "Burmeso", + "bzv": "Naami", + "bzw": "Basa (Nigeria)", + "bzx": "Kɛlɛngaxo Bozo", + "bzy": "Obanliku", + "bzz": "Evant", + "ca": "Catalan; Valencian", + "caa": "Chortí", + "cab": "Garifuna", + "cac": "Chuj", + "cad": "Caddo", + "cae": "Lehar; Laalaa", + "caf": "Southern Carrier", + "cag": "Nivaclé", + "cah": "Cahuarano", + "cai": "Central American Indian languages", + "caj": "Chané", + "cak": "Kaqchikel; Cakchiquel", + "cal": "Carolinian", + "cam": "Cemuhî", + "can": "Chambri", + "cao": "Chácobo", + "cap": "Chipaya", + "caq": "Car Nicobarese", + "car": "Galibi Carib", + "cas": "Tsimané", + "cau": "Caucasian languages", + "cav": "Cavineña", + "caw": "Callawalla", + "cax": "Chiquitano", + "cay": "Cayuga", + "caz": "Canichana", + "cba": "Chibchan languages", + "cbb": "Cabiyarí", + "cbc": "Carapana", + "cbd": "Carijona", + "cbg": "Chimila", + "cbi": "Chachi", + "cbj": "Ede Cabe", + "cbk": "Chavacano", + "cbl": "Bualkhaw Chin", + "cbn": "Nyahkur", + "cbo": "Izora", + "cbq": "Tsucuba; Cuba", + "cbr": "Cashibo-Cacataibo", + "cbs": "Cashinahua", + "cbt": "Chayahuita", + "cbu": "Candoshi-Shapra", + "cbv": "Cacua", + "cbw": "Kinabalian", + "cby": "Carabayo", + "ccc": "Chamicuro", + "ccd": "Cafundo Creole", + "cce": "Chopi", + "ccg": "Samba Daka", + "cch": "Atsam", + "ccj": "Kasanga", + "ccl": "Cutchi-Swahili", + "ccm": "Malaccan Creole Malay", + "ccn": "North Caucasian languages", + "cco": "Comaltepec Chinantec", + "ccp": "Chakma", + "ccr": "Cacaopera", + "ccs": "South Caucasian languages", + "cda": "Choni", + "cdc": "Chadic languages", + "cdd": "Caddoan languages", + "cde": "Chenchu", + "cdf": "Chiru", + "cdh": "Chambeali", + "cdi": "Chodri", + "cdj": "Churahi", + "cdm": "Chepang", + "cdn": "Chaudangsi", + "cdo": "Min Dong Chinese", + "cdr": "Cinda-Regi-Tiyal", + "cds": "Chadian Sign Language", + "cdy": "Chadong", + "cdz": "Koda", + "ce": "Chechen", + "cea": "Lower Chehalis", + "ceb": "Cebuano", + "ceg": "Chamacoco", + "cek": "Eastern Khumi Chin", + "cel": "Celtic languages", + "cen": "Cen", + "cet": "Centúúm", + "cey": "Ekai Chin", + "cfa": "Dijim-Bwilim", + "cfd": "Cara", + "cfg": "Como Karim", + "cfm": "Falam Chin", + "cga": "Changriwa", + "cgc": "Kagayanen", + "cgg": "Chiga", + "cgk": "Chocangacakha", + "ch": "Chamorro", + "chb": "Chibcha", + "chc": "Catawba", + "chd": "Highland Oaxaca Chontal", + "chf": "Tabasco Chontal", + "chg": "Chagatai", + "chh": "Chinook", + "chj": "Ojitlán Chinantec", + "chk": "Chuukese", + "chl": "Cahuilla", + "chm": "Mari (Russia)", + "chn": "Chinook jargon", + "cho": "Choctaw", + "chp": "Chipewyan; Dene Suline", + "chq": "Quiotepec Chinantec", + "chr": "Cherokee", + "cht": "Cholón", + "chw": "Chuwabu", + "chx": "Chantyal", + "chy": "Cheyenne", + "chz": "Ozumacín Chinantec", + "cia": "Cia-Cia", + "cib": "Ci Gbe", + "cic": "Chickasaw", + "cid": "Chimariko", + "cie": "Cineni", + "cih": "Chinali", + "cik": "Chitkuli Kinnauri", + "cim": "Cimbrian", + "cin": "Cinta Larga", + "cip": "Chiapanec", + "cir": "Tiri; Haméa; Méa", + "ciw": "Chippewa", + "ciy": "Chaima", + "cja": "Western Cham", + "cje": "Chru", + "cjh": "Upper Chehalis", + "cji": "Chamalal", + "cjk": "Chokwe", + "cjm": "Eastern Cham", + "cjn": "Chenapian", + "cjo": "Ashéninka Pajonal", + "cjp": "Cabécar", + "cjs": "Shor", + "cjv": "Chuave", + "cjy": "Jinyu Chinese", + "ckb": "Central Kurdish", + "ckh": "Chak", + "ckl": "Cibak", + "ckm": "Chakavian", + "ckn": "Kaang Chin", + "cko": "Anufo", + "ckq": "Kajakse", + "ckr": "Kairak", + "cks": "Tayo", + "ckt": "Chukot", + "cku": "Koasati", + "ckv": "Kavalan", + "ckx": "Caka", + "cky": "Cakfem-Mushere", + "ckz": "Cakchiquel-Quiché Mixed Language", + "cla": "Ron", + "clc": "Chilcotin", + "cld": "Chaldean Neo-Aramaic", + "cle": "Lealao Chinantec", + "clh": "Chilisso", + "cli": "Chakali", + "clj": "Laitu Chin", + "clk": "Idu-Mishmi", + "cll": "Chala", + "clm": "Clallam", + "clo": "Lowland Oaxaca Chontal", + "clt": "Lautu Chin", + "clu": "Caluyanun", + "clw": "Chulym", + "cly": "Eastern Highland Chatino", + "cma": "Maa", + "cmc": "Chamic languages", + "cme": "Cerma", + "cmg": "Classical Mongolian", + "cmi": "Emberá-Chamí", + "cml": "Campalagian", + "cmm": "Michigamea", + "cmn": "Mandarin Chinese", + "cmo": "Central Mnong", + "cmr": "Mro-Khimi Chin", + "cms": "Messapic", + "cmt": "Camtho", + "cna": "Changthang", + "cnb": "Chinbon Chin", + "cnc": "Côông", + "cng": "Northern Qiang", + "cnh": "Hakha Chin; Haka Chin", + "cni": "Asháninka", + "cnk": "Khumi Chin", + "cnl": "Lalana Chinantec", + "cno": "Con", + "cnp": "Northern Ping Chinese; Northern Pinghua", + "cnq": "Chung", + "cnr": "Montenegrin", + "cns": "Central Asmat", + "cnt": "Tepetotutla Chinantec", + "cnu": "Chenoua", + "cnw": "Ngawn Chin", + "cnx": "Middle Cornish", + "co": "Corsican", + "coa": "Cocos Islands Malay", + "cob": "Chicomuceltec", + "coc": "Cocopa", + "cod": "Cocama-Cocamilla", + "coe": "Koreguaje", + "cof": "Colorado", + "cog": "Chong", + "coh": "Chonyi-Dzihana-Kauma; Chichonyi-Chidzihana-Chikauma", + "coj": "Cochimi", + "cok": "Santa Teresa Cora", + "col": "Columbia-Wenatchi", + "com": "Comanche", + "con": "Cofán", + "coo": "Comox", + "cop": "Coptic", + "coq": "Coquille", + "cot": "Caquinte", + "cou": "Wamey", + "cov": "Cao Miao", + "cow": "Cowlitz", + "cox": "Nanti", + "coz": "Chochotec", + "cpa": "Palantla Chinantec", + "cpb": "Ucayali-Yurúa Ashéninka", + "cpc": "Ajyíninka Apurucayali", + "cpe": "English-based creoles and pidgins", + "cpf": "French-based creoles and pidgins", + "cpg": "Cappadocian Greek", + "cpi": "Chinese Pidgin English", + "cpn": "Cherepon", + "cpo": "Kpeego", + "cpp": "Portuguese-based creoles and pidgins", + "cps": "Capiznon", + "cpu": "Pichis Ashéninka", + "cpx": "Pu-Xian Chinese", + "cpy": "South Ucayali Ashéninka", + "cqd": "Chuanqiandian Cluster Miao", + "cr": "Cree", + "cra": "Chara", + "crb": "Island Carib", + "crc": "Lonwolwol", + "crd": "Coeur d'Alene", + "crf": "Caramanta", + "crg": "Michif", + "crh": "Crimean Tatar; Crimean Turkish", + "cri": "Sãotomense", + "crj": "Southern East Cree", + "crk": "Plains Cree", + "crl": "Northern East Cree", + "crm": "Moose Cree", + "crn": "El Nayar Cora", + "cro": "Crow", + "crp": "Creoles and pidgins", + "crq": "Iyo'wujwa Chorote", + "crr": "Carolina Algonquian", + "crs": "Seselwa Creole French", + "crt": "Iyojwa'ja Chorote", + "crv": "Chaura", + "crw": "Chrau", + "crx": "Carrier", + "cry": "Cori", + "crz": "Cruzeño", + "cs": "Czech", + "csa": "Chiltepec Chinantec", + "csb": "Kashubian", + "csc": "Catalan Sign Language; Lengua de señas catalana; Llengua de Signes Catalana", + "csd": "Chiangmai Sign Language", + "cse": "Czech Sign Language", + "csf": "Cuba Sign Language", + "csg": "Chilean Sign Language", + "csh": "Asho Chin", + "csi": "Coast Miwok", + "csj": "Songlai Chin", + "csk": "Jola-Kasa", + "csl": "Chinese Sign Language", + "csm": "Central Sierra Miwok", + "csn": "Colombian Sign Language", + "cso": "Sochiapam Chinantec; Sochiapan Chinantec", + "csp": "Southern Ping Chinese; Southern Pinghua", + "csq": "Croatia Sign Language", + "csr": "Costa Rican Sign Language", + "css": "Southern Ohlone", + "cst": "Northern Ohlone", + "csu": "Central Sudanic languages", + "csv": "Sumtu Chin", + "csw": "Swampy Cree", + "csx": "Cambodian Sign Language", + "csy": "Siyin Chin", + "csz": "Coos", + "cta": "Tataltepec Chatino", + "ctc": "Chetco", + "ctd": "Tedim Chin", + "cte": "Tepinapa Chinantec", + "ctg": "Chittagonian", + "cth": "Thaiphum Chin", + "ctl": "Tlacoatzintepec Chinantec", + "ctm": "Chitimacha", + "ctn": "Chhintange", + "cto": "Emberá-Catío", + "ctp": "Western Highland Chatino", + "cts": "Northern Catanduanes Bikol", + "ctt": "Wayanad Chetti", + "ctu": "Chol", + "cty": "Moundadan Chetty", + "ctz": "Zacatepec Chatino", + "cu": "Church Slavic; Church Slavonic; Old Bulgarian; Old Church Slavonic; Old Slavonic", + "cua": "Cua", + "cub": "Cubeo", + "cuc": "Usila Chinantec", + "cuh": "Chuka; Gichuka", + "cui": "Cuiba", + "cuj": "Mashco Piro", + "cuk": "San Blas Kuna", + "cul": "Culina; Kulina", + "cuo": "Cumanagoto", + "cup": "Cupeño", + "cuq": "Cun", + "cur": "Chhulung", + "cus": "Cushitic languages", + "cut": "Teutila Cuicatec", + "cuu": "Tai Ya", + "cuv": "Cuvok", + "cuw": "Chukwa", + "cux": "Tepeuxila Cuicatec", + "cuy": "Cuitlatec", + "cv": "Chuvash", + "cvg": "Chug", + "cvn": "Valle Nacional Chinantec", + "cwa": "Kabwa", + "cwb": "Maindo", + "cwd": "Woods Cree", + "cwe": "Kwere", + "cwg": "Chewong; Cheq Wong", + "cwt": "Kuwaataay", + "cy": "Welsh", + "cya": "Nopala Chatino", + "cyb": "Cayubaba", + "cyo": "Cuyonon", + "czh": "Huizhou Chinese", + "czk": "Knaanic", + "czn": "Zenzontepec Chatino", + "czo": "Min Zhong Chinese", + "czt": "Zotung Chin", + "da": "Danish", + "daa": "Dangaléat", + "dac": "Dambi", + "dad": "Marik", + "dae": "Duupa", + "dag": "Dagbani", + "dah": "Gwahatike", + "dai": "Day", + "daj": "Dar Fur Daju", + "dak": "Dakota", + "dal": "Dahalo", + "dam": "Damakawa", + "dao": "Daai Chin", + "daq": "Dandami Maria", + "dar": "Dargwa", + "das": "Daho-Doo", + "dau": "Dar Sila Daju", + "dav": "Taita; Dawida", + "daw": "Davawenyo", + "dax": "Dayi", + "day": "Land Dayak languages", + "daz": "Dao", + "dba": "Bangime", + "dbb": "Deno", + "dbd": "Dadiya", + "dbe": "Dabe", + "dbf": "Edopi", + "dbg": "Dogul Dom Dogon", + "dbi": "Doka", + "dbj": "Ida'an", + "dbl": "Dyirbal", + "dbm": "Duguri", + "dbn": "Duriankere", + "dbo": "Dulbu", + "dbp": "Duwai", + "dbq": "Daba", + "dbr": "Dabarre", + "dbt": "Ben Tey Dogon", + "dbu": "Bondum Dom Dogon", + "dbv": "Dungu", + "dbw": "Bankan Tey Dogon", + "dby": "Dibiyaso", + "dcc": "Deccan", + "dcr": "Negerhollands", + "dda": "Dadi Dadi", + "ddd": "Dongotono", + "dde": "Doondo", + "ddg": "Fataluku", + "ddi": "West Goodenough", + "ddj": "Jaru", + "ddn": "Dendi (Benin)", + "ddo": "Dido", + "ddr": "Dhudhuroa", + "dds": "Donno So Dogon", + "ddw": "Dawera-Daweloor", + "de": "German", + "dec": "Dagik", + "ded": "Dedua", + "dee": "Dewoin", + "def": "Dezfuli", + "deg": "Degema", + "deh": "Dehwari", + "dei": "Demisa", + "dek": "Dek", + "del": "Delaware", + "dem": "Dem", + "den": "Slave (Athapascan)", + "dep": "Pidgin Delaware", + "deq": "Dendi (Central African Republic)", + "der": "Deori", + "des": "Desano", + "dev": "Domung", + "dez": "Dengese", + "dga": "Southern Dagaare", + "dgb": "Bunoge Dogon", + "dgc": "Casiguran Dumagat Agta", + "dgd": "Dagaari Dioula", + "dge": "Degenan", + "dgg": "Doga", + "dgh": "Dghwede", + "dgi": "Northern Dagara", + "dgk": "Dagba", + "dgl": "Andaandi; Dongolawi", + "dgn": "Dagoman", + "dgo": "Dogri (individual language)", + "dgr": "Dogrib; Tłı̨chǫ", + "dgs": "Dogoso", + "dgt": "Ndra'ngith", + "dgw": "Daungwurrung", + "dgx": "Doghoro", + "dgz": "Daga", + "dhd": "Dhundari", + "dhg": "Dhangu-Djangu; Dhangu; Djangu", + "dhi": "Dhimal", + "dhl": "Dhalandji", + "dhm": "Zemba", + "dhn": "Dhanki", + "dho": "Dhodia", + "dhr": "Dhargari", + "dhs": "Dhaiso", + "dhu": "Dhurga", + "dhv": "Dehu; Drehu", + "dhw": "Dhanwar (Nepal)", + "dhx": "Dhungaloo", + "dia": "Dia", + "dib": "South Central Dinka", + "dic": "Lakota Dida", + "did": "Didinga", + "dif": "Dieri; Diyari", + "dig": "Digo; Chidigo", + "dih": "Kumiai", + "dii": "Dimbong", + "dij": "Dai", + "dik": "Southwestern Dinka", + "dil": "Dilling", + "dim": "Dime", + "din": "Dinka", + "dio": "Dibo", + "dip": "Northeastern Dinka", + "diq": "Dimli (individual language)", + "dir": "Dirim", + "dis": "Dimasa", + "diu": "Diriku", + "diw": "Northwestern Dinka", + "dix": "Dixon Reef", + "diy": "Diuwe", + "diz": "Ding", + "dja": "Djadjawurrung", + "djb": "Djinba", + "djc": "Dar Daju Daju", + "djd": "Djamindjung; Ngaliwurru", + "dje": "Zarma", + "djf": "Djangun", + "dji": "Djinang", + "djj": "Djeebbana", + "djk": "Eastern Maroon Creole; Businenge Tongo; Nenge", + "djm": "Jamsay Dogon", + "djn": "Jawoyn; Djauan", + "djo": "Jangkang", + "djr": "Djambarrpuyngu", + "dju": "Kapriman", + "djw": "Djawi", + "dka": "Dakpakha", + "dkg": "Kadung", + "dkk": "Dakka", + "dkr": "Kuijau", + "dks": "Southeastern Dinka", + "dkx": "Mazagway", + "dlg": "Dolgan", + "dlk": "Dahalik", + "dlm": "Dalmatian", + "dln": "Darlong", + "dma": "Duma", + "dmb": "Mombo Dogon", + "dmc": "Gavak", + "dmd": "Madhi Madhi", + "dme": "Dugwor", + "dmf": "Medefaidrin", + "dmg": "Upper Kinabatangan", + "dmk": "Domaaki", + "dml": "Dameli", + "dmm": "Dama", + "dmn": "Mande languages", + "dmo": "Kemedzung", + "dmr": "East Damar", + "dms": "Dampelas", + "dmu": "Dubu; Tebi", + "dmv": "Dumpas", + "dmw": "Mudburra", + "dmx": "Dema", + "dmy": "Demta; Sowari", + "dna": "Upper Grand Valley Dani", + "dnd": "Daonda", + "dne": "Ndendeule", + "dng": "Dungan", + "dni": "Lower Grand Valley Dani", + "dnj": "Dan", + "dnk": "Dengka", + "dnn": "Dzùùngoo", + "dno": "Ndrulo; Northern Lendu", + "dnr": "Danaru", + "dnt": "Mid Grand Valley Dani", + "dnu": "Danau", + "dnv": "Danu", + "dnw": "Western Dani", + "dny": "Dení", + "doa": "Dom", + "dob": "Dobu", + "doc": "Northern Dong", + "doe": "Doe", + "dof": "Domu", + "doh": "Dong", + "doi": "Dogri (macrolanguage)", + "dok": "Dondo", + "dol": "Doso", + "don": "Toura (Papua New Guinea)", + "doo": "Dongo", + "dop": "Lukpa", + "doq": "Dominican Sign Language", + "dor": "Dori'o", + "dos": "Dogosé", + "dot": "Dass", + "dov": "Dombe", + "dow": "Doyayo", + "dox": "Bussa", + "doy": "Dompo", + "doz": "Dorze", + "dpp": "Papar", + "dra": "Dravidian languages", + "drb": "Dair", + "drc": "Minderico", + "drd": "Darmiya", + "dre": "Dolpo", + "drg": "Rungus", + "dri": "C'Lela", + "drl": "Paakantyi", + "drn": "West Damar", + "dro": "Daro-Matu Melanau", + "drq": "Dura", + "drs": "Gedeo", + "drt": "Drents", + "dru": "Rukai", + "dry": "Darai", + "dsb": "Lower Sorbian", + "dse": "Dutch Sign Language", + "dsh": "Daasanach", + "dsi": "Disa", + "dsl": "Danish Sign Language", + "dsn": "Dusner", + "dso": "Desiya", + "dsq": "Tadaksahak", + "dsz": "Mardin Sign Language", + "dta": "Daur", + "dtb": "Labuk-Kinabatangan Kadazan", + "dtd": "Ditidaht", + "dth": "Adithinngithigh", + "dti": "Ana Tinga Dogon", + "dtk": "Tene Kan Dogon", + "dtm": "Tomo Kan Dogon", + "dtn": "Daatsʼíin", + "dto": "Tommo So Dogon", + "dtp": "Kadazan Dusun; Central Dusun", + "dtr": "Lotud", + "dts": "Toro So Dogon", + "dtt": "Toro Tegu Dogon", + "dtu": "Tebul Ure Dogon", + "dty": "Dotyali", + "dua": "Duala", + "dub": "Dubli", + "duc": "Duna", + "due": "Umiray Dumaget Agta", + "duf": "Dumbea; Drubea", + "dug": "Duruma; Chiduruma", + "duh": "Dungra Bhil", + "dui": "Dumun", + "duk": "Uyajitaya", + "dul": "Alabat Island Agta", + "dum": "Middle Dutch (ca. 1050-1350)", + "dun": "Dusun Deyah", + "duo": "Dupaninan Agta", + "dup": "Duano", + "duq": "Dusun Malang", + "dur": "Dii", + "dus": "Dumi", + "duu": "Drung", + "duv": "Duvle", + "duw": "Dusun Witu", + "dux": "Duungooma", + "duy": "Dicamay Agta", + "duz": "Duli-Gey", + "dv": "Dhivehi; Divehi; Maldivian", + "dva": "Duau", + "dwa": "Diri", + "dwk": "Dawik Kui", + "dwr": "Dawro", + "dws": "Dutton World Speedwords", + "dwu": "Dhuwal", + "dww": "Dawawa", + "dwy": "Dhuwaya", + "dwz": "Dewas Rai", + "dya": "Dyan", + "dyb": "Dyaberdyaber", + "dyd": "Dyugun", + "dyg": "Villa Viciosa Agta", + "dyi": "Djimini Senoufo", + "dym": "Yanda Dom Dogon", + "dyn": "Dyangadi; Dhanggatti", + "dyo": "Jola-Fonyi", + "dyu": "Dyula", + "dyy": "Djabugay; Dyaabugay", + "dz": "Dzongkha", + "dza": "Tunzu", + "dze": "Djiwarli", + "dzg": "Dazaga", + "dzl": "Dzalakha", + "dzn": "Dzando", + "eaa": "Karenggapa", + "ebc": "Beginci", + "ebg": "Ebughu", + "ebk": "Eastern Bontok", + "ebo": "Teke-Ebo", + "ebr": "Ebrié", + "ebu": "Embu; Kiembu", + "ecr": "Eteocretan", + "ecs": "Ecuadorian Sign Language", + "ecy": "Eteocypriot", + "ee": "Ewe", + "eee": "E", + "efa": "Efai", + "efe": "Efe", + "efi": "Efik", + "ega": "Ega", + "egl": "Emilian", + "egm": "Benamanga", + "ego": "Eggon", + "egx": "Egyptian languages", + "egy": "Egyptian (Ancient)", + "ehs": "Miyakubo Sign Language", + "ehu": "Ehueun", + "eip": "Eipomek", + "eit": "Eitiep", + "eiv": "Askopan", + "eja": "Ejamat", + "eka": "Ekajuk", + "eke": "Ekit", + "ekg": "Ekari", + "eki": "Eki", + "ekk": "Standard Estonian", + "ekl": "Kol (Bangladesh); Kol", + "ekm": "Elip", + "eko": "Koti", + "ekp": "Ekpeye", + "ekr": "Yace", + "eky": "Eastern Kayah", + "el": "Modern Greek (1453-)", + "ele": "Elepi", + "elh": "El Hugeirat", + "eli": "Nding", + "elk": "Elkei", + "elm": "Eleme", + "elo": "El Molo", + "elu": "Elu", + "elx": "Elamite", + "ema": "Emai-Iuleha-Ora", + "emb": "Embaloh", + "eme": "Emerillon", + "emg": "Eastern Meohang", + "emi": "Mussau-Emira", + "emk": "Eastern Maninkakan", + "emm": "Mamulique", + "emn": "Eman", + "emp": "Northern Emberá", + "emq": "Eastern Minyag", + "ems": "Pacific Gulf Yupik", + "emu": "Eastern Muria", + "emw": "Emplawas", + "emx": "Erromintxela", + "emy": "Epigraphic Mayan", + "emz": "Mbessa", + "en": "English", + "ena": "Apali", + "enb": "Markweeta", + "enc": "En", + "end": "Ende", + "enf": "Forest Enets", + "enh": "Tundra Enets", + "enl": "Enlhet", + "enm": "Middle English (1100-1500)", + "enn": "Engenni", + "eno": "Enggano", + "enq": "Enga", + "enr": "Emumu; Emem", + "enu": "Enu", + "env": "Enwan (Edo State)", + "enw": "Enwan (Akwa Ibom State)", + "enx": "Enxet", + "eo": "Esperanto", + "eot": "Beti (Côte d'Ivoire)", + "epi": "Epie", + "era": "Eravallan", + "erg": "Sie", + "erh": "Eruwa", + "eri": "Ogea", + "erk": "South Efate", + "ero": "Horpa", + "err": "Erre", + "ers": "Ersu", + "ert": "Eritai", + "erw": "Erokwanas", + "es": "Spanish; Castilian", + "ese": "Ese Ejja", + "esg": "Aheri Gondi", + "esh": "Eshtehardi", + "esi": "North Alaskan Inupiatun", + "esk": "Northwest Alaska Inupiatun", + "esl": "Egypt Sign Language", + "esm": "Esuma", + "esn": "Salvadoran Sign Language", + "eso": "Estonian Sign Language", + "esq": "Esselen", + "ess": "Central Siberian Yupik", + "esu": "Central Yupik", + "esx": "Eskimo-Aleut languages", + "esy": "Eskayan", + "et": "Estonian", + "etb": "Etebi", + "etc": "Etchemin", + "eth": "Ethiopian Sign Language", + "etn": "Eton (Vanuatu)", + "eto": "Eton (Cameroon)", + "etr": "Edolo", + "ets": "Yekhee", + "ett": "Etruscan", + "etu": "Ejagham", + "etx": "Eten", + "etz": "Semimi", + "eu": "Basque", + "euq": "Basque (family)", + "eve": "Even", + "evh": "Uvbie", + "evn": "Evenki", + "ewo": "Ewondo", + "ext": "Extremaduran", + "eya": "Eyak", + "eyo": "Keiyo", + "eza": "Ezaa", + "eze": "Uzekwe", + "fa": "Persian", + "faa": "Fasu", + "fab": "Fa d'Ambu", + "fad": "Wagi", + "faf": "Fagani", + "fag": "Finongan", + "fah": "Baissa Fali", + "fai": "Faiwol", + "faj": "Faita", + "fak": "Fang (Cameroon)", + "fal": "South Fali", + "fam": "Fam", + "fan": "Fang (Equatorial Guinea)", + "fap": "Paloor", + "far": "Fataleka", + "fat": "Fanti", + "fau": "Fayu", + "fax": "Fala", + "fay": "Southwestern Fars", + "faz": "Northwestern Fars", + "fbl": "West Albay Bikol", + "fcs": "Quebec Sign Language", + "fer": "Feroge", + "ff": "Fulah", + "ffi": "Foia Foia", + "ffm": "Maasina Fulfulde", + "fgr": "Fongoro", + "fi": "Finnish", + "fia": "Nobiin", + "fie": "Fyer", + "fif": "Faifi", + "fil": "Filipino; Pilipino", + "fip": "Fipa", + "fir": "Firan", + "fit": "Tornedalen Finnish; Meänkieli", + "fiu": "Finno-Ugrian languages", + "fiw": "Fiwaga", + "fj": "Fijian", + "fkk": "Kirya-Konzəl", + "fkv": "Kven Finnish", + "fla": "Kalispel-Pend d'Oreille", + "flh": "Foau", + "fli": "Fali", + "fll": "North Fali", + "fln": "Flinders Island", + "flr": "Fuliiru", + "fly": "Flaaitaal; Tsotsitaal", + "fmp": "Fe'fe'", + "fmu": "Far Western Muria", + "fnb": "Fanbak", + "fng": "Fanagalo", + "fni": "Fania", + "fo": "Faroese", + "fod": "Foodo", + "foi": "Foi", + "fom": "Foma", + "fon": "Fon", + "for": "Fore", + "fos": "Siraya", + "fox": "Formosan languages", + "fpe": "Fernando Po Creole English", + "fqs": "Fas", + "fr": "French", + "frc": "Cajun French", + "frd": "Fordata", + "frk": "Frankish", + "frm": "Middle French (ca. 1400-1600)", + "fro": "Old French (842-ca. 1400)", + "frp": "Arpitan; Francoprovençal", + "frq": "Forak", + "frr": "Northern Frisian", + "frs": "Eastern Frisian", + "frt": "Fortsenal", + "fse": "Finnish Sign Language", + "fsl": "French Sign Language", + "fss": "Finland-Swedish Sign Language; finlandssvenskt teckenspråk; suomenruotsalainen viittomakieli", + "fub": "Adamawa Fulfulde", + "fuc": "Pulaar", + "fud": "East Futuna", + "fue": "Borgu Fulfulde", + "fuf": "Pular", + "fuh": "Western Niger Fulfulde", + "fui": "Bagirmi Fulfulde", + "fuj": "Ko", + "fum": "Fum", + "fun": "Fulniô", + "fuq": "Central-Eastern Niger Fulfulde", + "fur": "Friulian", + "fut": "Futuna-Aniwa", + "fuu": "Furu", + "fuv": "Nigerian Fulfulde", + "fuy": "Fuyug", + "fvr": "Fur", + "fwa": "Fwâi", + "fwe": "Fwe", + "fy": "Western Frisian", + "ga": "Irish", + "gaa": "Ga", + "gab": "Gabri", + "gac": "Mixed Great Andamanese", + "gad": "Gaddang", + "gae": "Guarequena", + "gaf": "Gende", + "gag": "Gagauz", + "gah": "Alekano", + "gai": "Borei", + "gaj": "Gadsup", + "gak": "Gamkonora", + "gal": "Galolen", + "gam": "Kandawo", + "gan": "Gan Chinese", + "gao": "Gants", + "gap": "Gal", + "gaq": "Gata'", + "gar": "Galeya", + "gas": "Adiwasi Garasia", + "gat": "Kenati", + "gau": "Mudhili Gadaba", + "gaw": "Nobonob", + "gax": "Borana-Arsi-Guji Oromo", + "gay": "Gayo", + "gaz": "West Central Oromo", + "gba": "Gbaya (Central African Republic)", + "gbb": "Kaytetye", + "gbd": "Karajarri", + "gbe": "Niksek", + "gbf": "Gaikundi", + "gbg": "Gbanziri", + "gbh": "Defi Gbe", + "gbi": "Galela", + "gbj": "Bodo Gadaba", + "gbk": "Gaddi", + "gbl": "Gamit", + "gbm": "Garhwali", + "gbn": "Mo'da", + "gbo": "Northern Grebo", + "gbp": "Gbaya-Bossangoa", + "gbq": "Gbaya-Bozoum", + "gbr": "Gbagyi", + "gbs": "Gbesi Gbe", + "gbu": "Gagadu", + "gbv": "Gbanu", + "gbw": "Gabi-Gabi", + "gbx": "Eastern Xwla Gbe", + "gby": "Gbari", + "gbz": "Zoroastrian Dari", + "gcc": "Mali", + "gcd": "Ganggalida", + "gce": "Galice", + "gcf": "Guadeloupean Creole French", + "gcl": "Grenadian Creole English", + "gcn": "Gaina", + "gcr": "Guianese Creole French", + "gct": "Colonia Tovar German", + "gd": "Scottish Gaelic; Gaelic", + "gda": "Gade Lohar", + "gdb": "Pottangi Ollar Gadaba", + "gdc": "Gugu Badhun", + "gdd": "Gedaged", + "gde": "Gude", + "gdf": "Guduf-Gava", + "gdg": "Ga'dang", + "gdh": "Gadjerawang; Gajirrabeng", + "gdi": "Gundi", + "gdj": "Gurdjar", + "gdk": "Gadang", + "gdl": "Dirasha", + "gdm": "Laal", + "gdn": "Umanakaina", + "gdo": "Ghodoberi", + "gdq": "Mehri", + "gdr": "Wipi", + "gds": "Ghandruk Sign Language", + "gdt": "Kungardutyi", + "gdu": "Gudu", + "gdx": "Godwari", + "gea": "Geruma", + "geb": "Kire", + "gec": "Gboloo Grebo", + "ged": "Gade", + "gef": "Gerai", + "geg": "Gengle", + "geh": "Hutterite German; Hutterisch", + "gei": "Gebe", + "gej": "Gen", + "gek": "Ywom", + "gel": "ut-Ma'in", + "gem": "Germanic languages", + "geq": "Geme", + "ges": "Geser-Gorom", + "gev": "Eviya", + "gew": "Gera", + "gex": "Garre", + "gey": "Enya", + "gez": "Geez", + "gfk": "Patpatar", + "gft": "Gafat", + "gga": "Gao", + "ggb": "Gbii", + "ggd": "Gugadj", + "gge": "Gurr-goni", + "ggg": "Gurgula", + "ggk": "Kungarakany", + "ggl": "Ganglau", + "ggt": "Gitua", + "ggu": "Gagu; Gban", + "ggw": "Gogodala", + "gha": "Ghadamès", + "ghc": "Hiberno-Scottish Gaelic", + "ghe": "Southern Ghale", + "ghh": "Northern Ghale", + "ghk": "Geko Karen", + "ghl": "Ghulfan", + "ghn": "Ghanongga", + "gho": "Ghomara", + "ghr": "Ghera", + "ghs": "Guhu-Samane", + "ght": "Kuke; Kutang Ghale", + "gia": "Kija", + "gib": "Gibanawa", + "gic": "Gail", + "gid": "Gidar", + "gie": "Gaɓogbo; Guébie", + "gig": "Goaria", + "gih": "Githabul", + "gii": "Girirra", + "gil": "Gilbertese", + "gim": "Gimi (Eastern Highlands)", + "gin": "Hinukh", + "gip": "Gimi (West New Britain)", + "giq": "Green Gelao", + "gir": "Red Gelao", + "gis": "North Giziga", + "git": "Gitxsan", + "giu": "Mulao", + "giw": "White Gelao", + "gix": "Gilima", + "giy": "Giyug", + "giz": "South Giziga", + "gjk": "Kachi Koli", + "gjm": "Gunditjmara", + "gjn": "Gonja", + "gjr": "Gurindji Kriol", + "gju": "Gujari", + "gka": "Guya", + "gkd": "Magɨ (Madang Province)", + "gke": "Ndai", + "gkn": "Gokana", + "gko": "Kok-Nar", + "gkp": "Guinea Kpelle", + "gku": "ǂUngkue", + "gl": "Galician", + "glb": "Belning", + "glc": "Bon Gula", + "gld": "Nanai", + "glh": "Northwest Pashai; Northwest Pashayi", + "glj": "Gula Iro", + "glk": "Gilaki", + "gll": "Garlali", + "glo": "Galambu", + "glr": "Glaro-Twabo", + "glu": "Gula (Chad)", + "glw": "Glavda", + "gly": "Gule", + "gma": "Gambera", + "gmb": "Gula'alaa", + "gmd": "Mághdì", + "gme": "East Germanic languages", + "gmg": "Magɨyi", + "gmh": "Middle High German (ca. 1050-1500)", + "gml": "Middle Low German", + "gmm": "Gbaya-Mbodomo", + "gmn": "Gimnime", + "gmq": "North Germanic languages", + "gmr": "Mirning; Mirniny", + "gmu": "Gumalu", + "gmv": "Gamo", + "gmw": "West Germanic languages", + "gmx": "Magoma", + "gmy": "Mycenaean Greek", + "gmz": "Mgbolizhia", + "gn": "Guarani", + "gna": "Kaansa", + "gnb": "Gangte", + "gnc": "Guanche", + "gnd": "Zulgo-Gemzek", + "gne": "Ganang", + "gng": "Ngangam", + "gnh": "Lere", + "gni": "Gooniyandi", + "gnj": "Ngen", + "gnk": "ǁGana", + "gnl": "Gangulu", + "gnm": "Ginuman", + "gnn": "Gumatj", + "gno": "Northern Gondi", + "gnq": "Gana", + "gnr": "Gureng Gureng", + "gnt": "Guntai", + "gnu": "Gnau", + "gnw": "Western Bolivian Guaraní", + "gnz": "Ganzi", + "goa": "Guro", + "gob": "Playero", + "goc": "Gorakor", + "god": "Godié", + "goe": "Gongduk", + "gof": "Gofa", + "gog": "Gogo", + "goh": "Old High German (ca. 750-1050)", + "goi": "Gobasi", + "goj": "Gowlan", + "gok": "Gowli", + "gol": "Gola", + "gom": "Goan Konkani", + "gon": "Gondi", + "goo": "Gone Dau", + "gop": "Yeretuar", + "goq": "Gorap", + "gor": "Gorontalo", + "gos": "Gronings", + "got": "Gothic", + "gou": "Gavar", + "gov": "Goo", + "gow": "Gorowa", + "gox": "Gobu", + "goy": "Goundo", + "goz": "Gozarkhani", + "gpa": "Gupa-Abawa", + "gpe": "Ghanaian Pidgin English", + "gpn": "Taiap", + "gqa": "Ga'anda", + "gqi": "Guiqiong", + "gqn": "Guana (Brazil)", + "gqr": "Gor", + "gqu": "Qau", + "gra": "Rajput Garasia", + "grb": "Grebo", + "grc": "Ancient Greek (to 1453)", + "grd": "Guruntum-Mbaaru", + "grg": "Madi", + "grh": "Gbiri-Niragu", + "gri": "Ghari", + "grj": "Southern Grebo", + "grk": "Greek languages", + "grm": "Kota Marudu Talantang", + "gro": "Groma", + "grq": "Gorovu", + "grr": "Taznatit", + "grs": "Gresi", + "grt": "Garo", + "gru": "Kistane", + "grv": "Central Grebo", + "grw": "Gweda", + "grx": "Guriaso", + "gry": "Barclayville Grebo", + "grz": "Guramalum", + "gse": "Ghanaian Sign Language", + "gsg": "German Sign Language", + "gsl": "Gusilay", + "gsm": "Guatemalan Sign Language", + "gsn": "Nema; Gusan", + "gso": "Southwest Gbaya", + "gsp": "Wasembo", + "gss": "Greek Sign Language", + "gsw": "Swiss German; Alemannic; Alsatian", + "gta": "Guató", + "gtu": "Aghu-Tharnggala", + "gu": "Gujarati", + "gua": "Shiki", + "gub": "Guajajára", + "guc": "Wayuu", + "gud": "Yocoboué Dida", + "gue": "Gurindji", + "guf": "Gupapuyngu", + "gug": "Paraguayan Guaraní", + "guh": "Guahibo", + "gui": "Eastern Bolivian Guaraní", + "guk": "Gumuz", + "gul": "Sea Island Creole English", + "gum": "Guambiano", + "gun": "Mbyá Guaraní", + "guo": "Guayabero", + "gup": "Gunwinggu", + "guq": "Aché", + "gur": "Farefare", + "gus": "Guinean Sign Language", + "gut": "Maléku Jaíka", + "guu": "Yanomamö", + "guw": "Gun", + "gux": "Gourmanchéma", + "guz": "Gusii; Ekegusii", + "gv": "Manx", + "gva": "Guana (Paraguay)", + "gvc": "Guanano", + "gve": "Duwet", + "gvf": "Golin", + "gvj": "Guajá", + "gvl": "Gulay", + "gvm": "Gurmana", + "gvn": "Kuku-Yalanji", + "gvo": "Gavião Do Jiparaná", + "gvp": "Pará Gavião", + "gvr": "Gurung", + "gvs": "Gumawana", + "gvy": "Guyani", + "gwa": "Mbato", + "gwb": "Gwa", + "gwc": "Gawri; Kalami", + "gwd": "Gawwada", + "gwe": "Gweno", + "gwf": "Gowro", + "gwg": "Moo", + "gwi": "Gwichʼin", + "gwj": "ǀGwi", + "gwm": "Awngthim", + "gwn": "Gwandara", + "gwr": "Gwere", + "gwt": "Gawar-Bati", + "gwu": "Guwamu", + "gww": "Kwini", + "gwx": "Gua", + "gxx": "Wè Southern", + "gya": "Northwest Gbaya", + "gyb": "Garus", + "gyd": "Kayardild", + "gye": "Gyem", + "gyf": "Gungabula", + "gyg": "Gbayi", + "gyi": "Gyele", + "gyl": "Gayil", + "gym": "Ngäbere", + "gyn": "Guyanese Creole English", + "gyo": "Gyalsumdo", + "gyr": "Guarayu", + "gyy": "Gunya", + "gyz": "Geji; Gyaazi", + "gza": "Ganza", + "gzi": "Gazi", + "gzn": "Gane", + "ha": "Hausa", + "haa": "Han", + "hab": "Hanoi Sign Language", + "hac": "Gurani", + "had": "Hatam", + "hae": "Eastern Oromo", + "haf": "Haiphong Sign Language", + "hag": "Hanga", + "hah": "Hahon", + "hai": "Haida", + "haj": "Hajong", + "hak": "Hakka Chinese", + "hal": "Halang", + "ham": "Hewa", + "han": "Hangaza", + "hao": "Hakö", + "hap": "Hupla", + "haq": "Ha", + "har": "Harari", + "has": "Haisla", + "hav": "Havu", + "haw": "Hawaiian", + "hax": "Southern Haida", + "hay": "Haya", + "haz": "Hazaragi", + "hba": "Hamba", + "hbb": "Huba", + "hbn": "Heiban", + "hbo": "Ancient Hebrew", + "hbu": "Habu", + "hca": "Andaman Creole Hindi", + "hch": "Huichol", + "hdn": "Northern Haida", + "hds": "Honduras Sign Language", + "hdy": "Hadiyya", + "he": "Hebrew", + "hea": "Northern Qiandong Miao", + "hed": "Herdé", + "heg": "Helong", + "heh": "Hehe", + "hei": "Heiltsuk", + "hem": "Hemba", + "hgm": "Haiǁom", + "hgw": "Haigwai", + "hhi": "Hoia Hoia", + "hhr": "Kerak", + "hhy": "Hoyahoya", + "hi": "Hindi", + "hia": "Lamang", + "hib": "Hibito", + "hid": "Hidatsa", + "hif": "Fiji Hindi", + "hig": "Kamwe", + "hih": "Pamosu", + "hii": "Hinduri", + "hij": "Hijuk", + "hik": "Seit-Kaitetu", + "hil": "Hiligaynon", + "him": "Himachali languages; Western Pahari languages", + "hio": "Tsoa", + "hir": "Himarimã", + "hit": "Hittite", + "hiw": "Hiw", + "hix": "Hixkaryána", + "hji": "Haji", + "hka": "Kahe", + "hke": "Hunde", + "hkh": "Khah; Poguli", + "hkk": "Hunjara-Kaina Ke", + "hkn": "Mel-Khaonh", + "hks": "Hong Kong Sign Language; Heung Kong Sau Yue", + "hla": "Halia", + "hlb": "Halbi", + "hld": "Halang Doan", + "hle": "Hlersu", + "hlt": "Matu Chin", + "hlu": "Hieroglyphic Luwian", + "hma": "Southern Mashan Hmong; Southern Mashan Miao", + "hmb": "Humburi Senni Songhay", + "hmc": "Central Huishui Hmong; Central Huishui Miao", + "hmd": "Large Flowery Miao; A-hmaos; Da-Hua Miao", + "hme": "Eastern Huishui Hmong; Eastern Huishui Miao", + "hmf": "Hmong Don", + "hmg": "Southwestern Guiyang Hmong", + "hmh": "Southwestern Huishui Hmong; Southwestern Huishui Miao", + "hmi": "Northern Huishui Hmong; Northern Huishui Miao", + "hmj": "Ge; Gejia", + "hmk": "Maek", + "hml": "Luopohe Hmong; Luopohe Miao", + "hmm": "Central Mashan Hmong; Central Mashan Miao", + "hmn": "Hmong; Mong", + "hmp": "Northern Mashan Hmong; Northern Mashan Miao", + "hmq": "Eastern Qiandong Miao", + "hmr": "Hmar", + "hms": "Southern Qiandong Miao", + "hmt": "Hamtai", + "hmu": "Hamap", + "hmv": "Hmong Dô", + "hmw": "Western Mashan Hmong; Western Mashan Miao", + "hmx": "Hmong-Mien languages", + "hmy": "Southern Guiyang Hmong; Southern Guiyang Miao", + "hmz": "Hmong Shua; Sinicized Miao", + "hna": "Mina (Cameroon)", + "hnd": "Southern Hindko", + "hne": "Chhattisgarhi", + "hng": "Hungu", + "hnh": "ǁAni", + "hni": "Hani", + "hnj": "Hmong Njua; Mong Leng; Mong Njua", + "hnn": "Hanunoo", + "hno": "Northern Hindko", + "hns": "Caribbean Hindustani", + "hnu": "Hung", + "ho": "Hiri Motu", + "hoa": "Hoava", + "hob": "Mari (Madang Province)", + "hoc": "Ho", + "hod": "Holma", + "hoe": "Horom", + "hoh": "Hobyót", + "hoi": "Holikachuk", + "hoj": "Hadothi; Haroti", + "hok": "Hokan languages", + "hol": "Holu", + "hom": "Homa", + "hoo": "Holoholo", + "hop": "Hopi", + "hor": "Horo", + "hos": "Ho Chi Minh City Sign Language", + "hot": "Hote; Malê", + "hov": "Hovongan", + "how": "Honi", + "hoy": "Holiya", + "hoz": "Hozo", + "hpo": "Hpon", + "hps": "Hawai'i Sign Language (HSL); Hawai'i Pidgin Sign Language", + "hr": "Croatian", + "hra": "Hrangkhol", + "hrc": "Niwer Mil", + "hre": "Hre", + "hrk": "Haruku", + "hrm": "Horned Miao", + "hro": "Haroi", + "hrp": "Nhirrpi", + "hrt": "Hértevin", + "hru": "Hruso", + "hrw": "Warwar Feni", + "hrx": "Hunsrik", + "hrz": "Harzani", + "hsb": "Upper Sorbian", + "hsh": "Hungarian Sign Language", + "hsl": "Hausa Sign Language", + "hsn": "Xiang Chinese", + "hss": "Harsusi", + "ht": "Haitian; Haitian Creole", + "hti": "Hoti", + "hto": "Minica Huitoto", + "hts": "Hadza", + "htu": "Hitu", + "htx": "Middle Hittite", + "hu": "Hungarian", + "hub": "Huambisa", + "huc": "ǂHua; ǂʼAmkhoe", + "hud": "Huaulu", + "hue": "San Francisco Del Mar Huave", + "huf": "Humene", + "hug": "Huachipaeri", + "huh": "Huilliche", + "hui": "Huli", + "huj": "Northern Guiyang Hmong; Northern Guiyang Miao", + "huk": "Hulung", + "hul": "Hula", + "hum": "Hungana", + "huo": "Hu", + "hup": "Hupa", + "huq": "Tsat", + "hur": "Halkomelem", + "hus": "Huastec", + "hut": "Humla", + "huu": "Murui Huitoto", + "huv": "San Mateo Del Mar Huave", + "huw": "Hukumina", + "hux": "Nüpode Huitoto", + "huy": "Hulaulá", + "huz": "Hunzib", + "hvc": "Haitian Vodoun Culture Language", + "hve": "San Dionisio Del Mar Huave", + "hvk": "Haveke", + "hvn": "Sabu", + "hvv": "Santa María Del Mar Huave", + "hwa": "Wané", + "hwc": "Hawai'i Creole English; Hawai'i Pidgin", + "hwo": "Hwana", + "hy": "Armenian", + "hya": "Hya", + "hyw": "Western Armenian", + "hyx": "Armenian (family)", + "hz": "Herero", + "ia": "Interlingua (International Auxiliary Language Association)", + "iai": "Iaai", + "ian": "Iatmul", + "iar": "Purari", + "iba": "Iban", + "ibb": "Ibibio", + "ibd": "Iwaidja", + "ibe": "Akpes", + "ibg": "Ibanag", + "ibh": "Bih", + "ibl": "Ibaloi", + "ibm": "Agoi", + "ibn": "Ibino", + "ibr": "Ibuoro", + "ibu": "Ibu", + "iby": "Ibani", + "ica": "Ede Ica", + "ich": "Etkywan", + "icl": "Icelandic Sign Language", + "icr": "Islander Creole English", + "id": "Indonesian", + "ida": "Idakho-Isukha-Tiriki; Luidakho-Luisukha-Lutirichi", + "idb": "Indo-Portuguese", + "idc": "Idon; Ajiya", + "idd": "Ede Idaca", + "ide": "Idere", + "idi": "Idi", + "idr": "Indri", + "ids": "Idesa", + "idt": "Idaté", + "idu": "Idoma", + "ie": "Interlingue; Occidental", + "ifa": "Amganad Ifugao", + "ifb": "Batad Ifugao; Ayangan Ifugao", + "ife": "Ifè", + "iff": "Ifo", + "ifk": "Tuwali Ifugao", + "ifm": "Teke-Fuumu", + "ifu": "Mayoyao Ifugao", + "ify": "Keley-I Kallahan", + "ig": "Igbo", + "igb": "Ebira", + "ige": "Igede", + "igg": "Igana", + "igl": "Igala", + "igm": "Kanggape", + "ign": "Ignaciano", + "igo": "Isebe", + "igs": "Interglossa", + "igw": "Igwe", + "ihb": "Iha Based Pidgin", + "ihi": "Ihievbe", + "ihp": "Iha", + "ihw": "Bidhawal", + "ii": "Sichuan Yi; Nuosu", + "iin": "Thiin", + "iir": "Indo-Iranian languages", + "ijc": "Izon", + "ije": "Biseni", + "ijj": "Ede Ije", + "ijn": "Kalabari", + "ijo": "Ijo languages", + "ijs": "Southeast Ijo", + "ik": "Inupiaq", + "ike": "Eastern Canadian Inuktitut", + "iki": "Iko", + "ikk": "Ika", + "ikl": "Ikulu", + "iko": "Olulumo-Ikom", + "ikp": "Ikpeshi", + "ikr": "Ikaranggal", + "iks": "Inuit Sign Language", + "ikt": "Inuinnaqtun; Western Canadian Inuktitut", + "ikv": "Iku-Gora-Ankwa", + "ikw": "Ikwere", + "ikx": "Ik", + "ikz": "Ikizu", + "ila": "Ile Ape", + "ilb": "Ila", + "ilg": "Garig-Ilgar", + "ili": "Ili Turki", + "ilk": "Ilongot", + "ilm": "Iranun (Malaysia)", + "ilo": "Iloko", + "ilp": "Iranun (Philippines)", + "ils": "International Sign", + "ilu": "Ili'uun", + "ilv": "Ilue", + "ima": "Mala Malasar", + "imi": "Anamgura", + "iml": "Miluk", + "imn": "Imonda", + "imo": "Imbongu", + "imr": "Imroing", + "ims": "Marsian", + "imt": "Imotong", + "imy": "Milyan", + "inb": "Inga", + "inc": "Indic languages", + "ine": "Indo-European languages", + "ing": "Degexit'an", + "inh": "Ingush", + "inj": "Jungle Inga", + "inl": "Indonesian Sign Language", + "inm": "Minaean", + "inn": "Isinai", + "ino": "Inoke-Yate", + "inp": "Iñapari", + "ins": "Indian Sign Language", + "int": "Intha", + "inz": "Ineseño", + "io": "Ido", + "ior": "Inor", + "iou": "Tuma-Irumu", + "iow": "Iowa-Oto", + "ipi": "Ipili", + "ipo": "Ipiko", + "iqu": "Iquito", + "iqw": "Ikwo", + "ira": "Iranian languages", + "ire": "Iresim", + "irh": "Irarutu", + "iri": "Rigwe; Irigwe", + "irk": "Iraqw", + "irn": "Irántxe", + "iro": "Iroquoian languages", + "irr": "Ir", + "iru": "Irula", + "irx": "Kamberau", + "iry": "Iraya", + "is": "Icelandic", + "isa": "Isabi", + "isc": "Isconahua", + "isd": "Isnag", + "ise": "Italian Sign Language", + "isg": "Irish Sign Language", + "ish": "Esan", + "isi": "Nkem-Nkum", + "isk": "Ishkashimi", + "ism": "Masimasi", + "isn": "Isanzu", + "iso": "Isoko", + "isr": "Israeli Sign Language", + "ist": "Istriot", + "isu": "Isu (Menchum Division)", + "it": "Italian", + "itb": "Binongan Itneg", + "itc": "Italic languages", + "itd": "Southern Tidung", + "ite": "Itene", + "iti": "Inlaod Itneg", + "itk": "Judeo-Italian", + "itl": "Itelmen", + "itm": "Itu Mbon Uzo", + "ito": "Itonama", + "itr": "Iteri", + "its": "Isekiri", + "itt": "Maeng Itneg", + "itv": "Itawit", + "itw": "Ito", + "itx": "Itik", + "ity": "Moyadan Itneg", + "itz": "Itzá", + "iu": "Inuktitut", + "ium": "Iu Mien", + "ivb": "Ibatan", + "ivv": "Ivatan", + "iwk": "I-Wak", + "iwm": "Iwam", + "iwo": "Iwur", + "iws": "Sepik Iwam", + "ixc": "Ixcatec", + "ixl": "Ixil", + "iya": "Iyayu", + "iyo": "Mesaka", + "iyx": "Yaka (Congo)", + "izh": "Ingrian", + "izr": "Izere", + "izz": "Izii", + "ja": "Japanese", + "jaa": "Jamamadí", + "jab": "Hyam", + "jac": "Popti'; Jakalteko", + "jad": "Jahanka", + "jae": "Yabem", + "jaf": "Jara", + "jah": "Jah Hut", + "jaj": "Zazao", + "jak": "Jakun", + "jal": "Yalahatan", + "jam": "Jamaican Creole English", + "jan": "Jandai", + "jao": "Yanyuwa", + "jaq": "Yaqay", + "jas": "New Caledonian Javanese", + "jat": "Jakati", + "jau": "Yaur", + "jax": "Jambi Malay", + "jay": "Yan-nhangu; Nhangu", + "jaz": "Jawe", + "jbe": "Judeo-Berber", + "jbi": "Badjiri", + "jbj": "Arandai", + "jbk": "Barikewa", + "jbm": "Bijim", + "jbn": "Nafusi", + "jbo": "Lojban", + "jbr": "Jofotek-Bromnya", + "jbt": "Jabutí", + "jbu": "Jukun Takum", + "jbw": "Yawijibaya", + "jcs": "Jamaican Country Sign Language", + "jct": "Krymchak", + "jda": "Jad", + "jdg": "Jadgali", + "jdt": "Judeo-Tat", + "jeb": "Jebero", + "jee": "Jerung", + "jeh": "Jeh", + "jei": "Yei", + "jek": "Jeri Kuo", + "jel": "Yelmek", + "jen": "Dza", + "jer": "Jere", + "jet": "Manem", + "jeu": "Jonkor Bourmataguil", + "jgb": "Ngbee", + "jge": "Judeo-Georgian", + "jgk": "Gwak", + "jgo": "Ngomba", + "jhi": "Jehai", + "jhs": "Jhankot Sign Language", + "jia": "Jina", + "jib": "Jibu", + "jic": "Tol", + "jid": "Bu (Kaduna State)", + "jie": "Jilbe", + "jig": "Jingulu; Djingili", + "jih": "sTodsde; Shangzhai", + "jii": "Jiiddu", + "jil": "Jilim", + "jim": "Jimi (Cameroon)", + "jio": "Jiamao", + "jiq": "Guanyinqiao; Lavrung", + "jit": "Jita", + "jiu": "Youle Jinuo", + "jiv": "Shuar", + "jiy": "Buyuan Jinuo", + "jje": "Jejueo", + "jjr": "Bankal", + "jka": "Kaera", + "jkm": "Mobwa Karen", + "jko": "Kubo", + "jkp": "Paku Karen", + "jkr": "Koro (India)", + "jks": "Amami Koniya Sign Language", + "jku": "Labir", + "jle": "Ngile", + "jls": "Jamaican Sign Language", + "jma": "Dima", + "jmb": "Zumbun", + "jmc": "Machame", + "jmd": "Yamdena", + "jmi": "Jimi (Nigeria)", + "jml": "Jumli", + "jmn": "Makuri Naga", + "jmr": "Kamara", + "jms": "Mashi (Nigeria)", + "jmw": "Mouwase", + "jmx": "Western Juxtlahuaca Mixtec", + "jna": "Jangshung", + "jnd": "Jandavra", + "jng": "Yangman", + "jni": "Janji", + "jnj": "Yemsa", + "jnl": "Rawat", + "jns": "Jaunsari", + "job": "Joba", + "jod": "Wojenaka", + "jog": "Jogi", + "jor": "Jorá", + "jos": "Jordanian Sign Language", + "jow": "Jowulu", + "jpa": "Jewish Palestinian Aramaic", + "jpr": "Judeo-Persian", + "jpx": "Japanese (family)", + "jqr": "Jaqaru", + "jra": "Jarai", + "jrb": "Judeo-Arabic", + "jrr": "Jiru", + "jrt": "Jakattoe", + "jru": "Japrería", + "jsl": "Japanese Sign Language", + "jua": "Júma", + "jub": "Wannu", + "juc": "Jurchen", + "jud": "Worodougou", + "juh": "Hõne", + "jui": "Ngadjuri", + "juk": "Wapan", + "jul": "Jirel", + "jum": "Jumjum", + "jun": "Juang", + "juo": "Jiba", + "jup": "Hupdë", + "jur": "Jurúna", + "jus": "Jumla Sign Language", + "jut": "Jutish", + "juu": "Ju", + "juw": "Wãpha", + "juy": "Juray", + "jv": "Javanese", + "jvd": "Javindo", + "jvn": "Caribbean Javanese", + "jwi": "Jwira-Pepesa", + "jya": "Jiarong", + "jye": "Judeo-Yemeni Arabic", + "jyy": "Jaya", + "ka": "Georgian", + "kaa": "Kara-Kalpak; Karakalpak", + "kab": "Kabyle", + "kac": "Kachin; Jingpho", + "kad": "Adara", + "kae": "Ketangalan", + "kaf": "Katso", + "kag": "Kajaman", + "kah": "Kara (Central African Republic)", + "kai": "Karekare", + "kaj": "Jju", + "kak": "Kalanguya; Kayapa Kallahan", + "kam": "Kamba (Kenya)", + "kao": "Xaasongaxango", + "kap": "Bezhta", + "kaq": "Capanahua", + "kar": "Karen languages", + "kav": "Katukína", + "kaw": "Kawi", + "kax": "Kao", + "kay": "Kamayurá", + "kba": "Kalarko", + "kbb": "Kaxuiâna", + "kbc": "Kadiwéu", + "kbd": "Kabardian", + "kbe": "Kanju", + "kbg": "Khamba", + "kbh": "Camsá", + "kbi": "Kaptiau", + "kbj": "Kari", + "kbk": "Grass Koiari", + "kbl": "Kanembu", + "kbm": "Iwal", + "kbn": "Kare (Central African Republic)", + "kbo": "Keliko", + "kbp": "Kabiyè", + "kbq": "Kamano", + "kbr": "Kafa", + "kbs": "Kande", + "kbt": "Abadi", + "kbu": "Kabutra", + "kbv": "Dera (Indonesia)", + "kbw": "Kaiep", + "kbx": "Ap Ma", + "kby": "Manga Kanuri", + "kbz": "Duhwa", + "kca": "Khanty", + "kcb": "Kawacha", + "kcc": "Lubila", + "kcd": "Ngkâlmpw Kanum", + "kce": "Kaivi", + "kcf": "Ukaan", + "kcg": "Tyap", + "kch": "Vono", + "kci": "Kamantan", + "kcj": "Kobiana", + "kck": "Kalanga", + "kcl": "Kela (Papua New Guinea); Kala", + "kcm": "Gula (Central African Republic)", + "kcn": "Nubi", + "kco": "Kinalakna", + "kcp": "Kanga", + "kcq": "Kamo", + "kcr": "Katla", + "kcs": "Koenoem", + "kct": "Kaian", + "kcu": "Kami (Tanzania)", + "kcv": "Kete", + "kcw": "Kabwari", + "kcx": "Kachama-Ganjule", + "kcy": "Korandje", + "kcz": "Konongo", + "kda": "Worimi", + "kdc": "Kutu", + "kdd": "Yankunytjatjara", + "kde": "Makonde", + "kdf": "Mamusi", + "kdg": "Seba", + "kdh": "Tem", + "kdi": "Kumam", + "kdj": "Karamojong", + "kdk": "Numèè; Kwényi", + "kdl": "Tsikimba", + "kdm": "Kagoma", + "kdn": "Kunda", + "kdo": "Kordofanian languages", + "kdp": "Kaningdon-Nindem", + "kdq": "Koch", + "kdr": "Karaim", + "kdt": "Kuy", + "kdu": "Kadaru", + "kdw": "Koneraw", + "kdx": "Kam", + "kdy": "Keder; Keijar", + "kdz": "Kwaja", + "kea": "Kabuverdianu", + "keb": "Kélé", + "kec": "Keiga", + "ked": "Kerewe", + "kee": "Eastern Keres", + "kef": "Kpessi", + "keg": "Tese", + "keh": "Keak", + "kei": "Kei", + "kej": "Kadar", + "kek": "Kekchí", + "kel": "Kela (Democratic Republic of Congo)", + "kem": "Kemak", + "ken": "Kenyang", + "keo": "Kakwa", + "kep": "Kaikadi", + "keq": "Kamar", + "ker": "Kera", + "kes": "Kugbo", + "ket": "Ket", + "keu": "Akebu", + "kev": "Kanikkaran", + "kew": "West Kewa", + "kex": "Kukna", + "key": "Kupia", + "kez": "Kukele", + "kfa": "Kodava", + "kfb": "Northwestern Kolami", + "kfc": "Konda-Dora", + "kfd": "Korra Koraga", + "kfe": "Kota (India)", + "kff": "Koya", + "kfg": "Kudiya", + "kfh": "Kurichiya", + "kfi": "Kannada Kurumba", + "kfj": "Kemiehua", + "kfk": "Kinnauri", + "kfl": "Kung", + "kfm": "Khunsari", + "kfn": "Kuk", + "kfo": "Koro (Côte d'Ivoire)", + "kfp": "Korwa", + "kfq": "Korku", + "kfr": "Kachhi; Kutchi", + "kfs": "Bilaspuri", + "kft": "Kanjari", + "kfu": "Katkari", + "kfv": "Kurmukar", + "kfw": "Kharam Naga", + "kfx": "Kullu Pahari", + "kfy": "Kumaoni", + "kfz": "Koromfé", + "kg": "Kongo", + "kga": "Koyaga", + "kgb": "Kawe", + "kge": "Komering", + "kgf": "Kube", + "kgg": "Kusunda", + "kgi": "Selangor Sign Language", + "kgj": "Gamale Kham", + "kgk": "Kaiwá", + "kgl": "Kunggari", + "kgm": "Karipúna", + "kgn": "Karingani", + "kgo": "Krongo", + "kgp": "Kaingang", + "kgq": "Kamoro", + "kgr": "Abun", + "kgs": "Kumbainggar", + "kgt": "Somyev", + "kgu": "Kobol", + "kgv": "Karas", + "kgw": "Karon Dori", + "kgx": "Kamaru", + "kgy": "Kyerung", + "kha": "Khasi", + "khb": "Lü", + "khc": "Tukang Besi North", + "khd": "Bädi Kanum", + "khe": "Korowai", + "khf": "Khuen", + "khg": "Khams Tibetan", + "khh": "Kehu", + "khi": "Khoisan languages", + "khj": "Kuturmi", + "khk": "Halh Mongolian", + "khl": "Lusi", + "khn": "Khandesi", + "kho": "Khotanese; Sakan", + "khp": "Kapori; Kapauri", + "khq": "Koyra Chiini Songhay", + "khr": "Kharia", + "khs": "Kasua", + "kht": "Khamti", + "khu": "Nkhumbi", + "khv": "Khvarshi", + "khw": "Khowar", + "khx": "Kanu", + "khy": "Kele (Democratic Republic of Congo)", + "khz": "Keapara", + "ki": "Kikuyu; Gikuyu", + "kia": "Kim", + "kib": "Koalib", + "kic": "Kickapoo", + "kid": "Koshin", + "kie": "Kibet", + "kif": "Eastern Parbate Kham", + "kig": "Kimaama; Kimaghima", + "kih": "Kilmeri", + "kii": "Kitsai", + "kij": "Kilivila", + "kil": "Kariya", + "kim": "Karagas", + "kio": "Kiowa", + "kip": "Sheshi Kham", + "kiq": "Kosadle; Kosare", + "kis": "Kis", + "kit": "Agob", + "kiu": "Kirmanjki (individual language)", + "kiv": "Kimbu", + "kiw": "Northeast Kiwai", + "kix": "Khiamniungan Naga", + "kiy": "Kirikiri", + "kiz": "Kisi", + "kj": "Kuanyama; Kwanyama", + "kja": "Mlap", + "kjb": "Q'anjob'al; Kanjobal", + "kjc": "Coastal Konjo", + "kjd": "Southern Kiwai", + "kje": "Kisar", + "kjg": "Khmu", + "kjh": "Khakas", + "kji": "Zabana", + "kjj": "Khinalugh", + "kjk": "Highland Konjo", + "kjl": "Western Parbate Kham", + "kjm": "Kháng", + "kjn": "Kunjen", + "kjo": "Harijan Kinnauri", + "kjp": "Pwo Eastern Karen", + "kjq": "Western Keres", + "kjr": "Kurudu", + "kjs": "East Kewa", + "kjt": "Phrae Pwo Karen", + "kju": "Kashaya", + "kjv": "Kaikavian Literary Language", + "kjx": "Ramopa", + "kjy": "Erave", + "kjz": "Bumthangkha", + "kk": "Kazakh", + "kka": "Kakanda", + "kkb": "Kwerisa", + "kkc": "Odoodee", + "kkd": "Kinuku", + "kke": "Kakabe", + "kkf": "Kalaktang Monpa", + "kkg": "Mabaka Valley Kalinga", + "kkh": "Khün", + "kki": "Kagulu", + "kkj": "Kako", + "kkk": "Kokota", + "kkl": "Kosarek Yale", + "kkm": "Kiong", + "kkn": "Kon Keu", + "kko": "Karko", + "kkp": "Gugubera; Koko-Bera", + "kkq": "Kaeku", + "kkr": "Kir-Balar", + "kks": "Giiwo", + "kkt": "Koi", + "kku": "Tumi", + "kkv": "Kangean", + "kkw": "Teke-Kukuya", + "kkx": "Kohin", + "kky": "Guugu Yimidhirr; Guguyimidjir", + "kkz": "Kaska", + "kl": "Kalaallisut; Greenlandic", + "kla": "Klamath-Modoc", + "klb": "Kiliwa", + "klc": "Kolbila", + "kld": "Gamilaraay", + "kle": "Kulung (Nepal)", + "klf": "Kendeje", + "klg": "Tagakaulo", + "klh": "Weliki", + "kli": "Kalumpang", + "klj": "Khalaj", + "klk": "Kono (Nigeria)", + "kll": "Kagan Kalagan", + "klm": "Migum", + "kln": "Kalenjin", + "klo": "Kapya", + "klp": "Kamasa", + "klq": "Rumu", + "klr": "Khaling", + "kls": "Kalasha", + "klt": "Nukna", + "klu": "Klao", + "klv": "Maskelynes", + "klw": "Tado; Lindu", + "klx": "Koluwawa", + "kly": "Kalao", + "klz": "Kabola", + "km": "Khmer; Central Khmer", + "kma": "Konni", + "kmb": "Kimbundu", + "kmc": "Southern Dong", + "kmd": "Majukayang Kalinga", + "kme": "Bakole", + "kmf": "Kare (Papua New Guinea)", + "kmg": "Kâte", + "kmh": "Kalam", + "kmi": "Kami (Nigeria)", + "kmj": "Kumarbhag Paharia", + "kmk": "Limos Kalinga", + "kml": "Tanudan Kalinga", + "kmm": "Kom (India)", + "kmn": "Awtuw", + "kmo": "Kwoma", + "kmp": "Gimme", + "kmq": "Kwama", + "kmr": "Northern Kurdish", + "kms": "Kamasau", + "kmt": "Kemtuik", + "kmu": "Kanite", + "kmv": "Karipúna Creole French", + "kmw": "Komo (Democratic Republic of Congo)", + "kmx": "Waboda", + "kmy": "Koma", + "kmz": "Khorasani Turkish", + "kn": "Kannada", + "kna": "Dera (Nigeria)", + "knb": "Lubuagan Kalinga", + "knc": "Central Kanuri", + "knd": "Konda", + "kne": "Kankanaey", + "knf": "Mankanya", + "kng": "Koongo", + "kni": "Kanufi", + "knj": "Western Kanjobal", + "knk": "Kuranko", + "knl": "Keninjal", + "knm": "Kanamarí", + "knn": "Konkani (individual language)", + "kno": "Kono (Sierra Leone)", + "knp": "Kwanja", + "knq": "Kintaq", + "knr": "Kaningra", + "kns": "Kensiu", + "knt": "Panoan Katukína", + "knu": "Kono (Guinea)", + "knv": "Tabo", + "knw": "Kung-Ekoka", + "knx": "Kendayan; Salako", + "kny": "Kanyok", + "knz": "Kalamsé", + "ko": "Korean", + "koa": "Konomala", + "koc": "Kpati", + "kod": "Kodi", + "koe": "Kacipo-Bale Suri", + "kof": "Kubi", + "kog": "Cogui; Kogi", + "koh": "Koyo", + "koi": "Komi-Permyak", + "kok": "Konkani (macrolanguage)", + "kol": "Kol (Papua New Guinea)", + "koo": "Konzo", + "kop": "Waube", + "koq": "Kota (Gabon)", + "kos": "Kosraean", + "kot": "Lagwan", + "kou": "Koke", + "kov": "Kudu-Camo", + "kow": "Kugama", + "koy": "Koyukon", + "koz": "Korak", + "kpa": "Kutto", + "kpb": "Mullu Kurumba", + "kpc": "Curripaco", + "kpd": "Koba", + "kpe": "Kpelle", + "kpf": "Komba", + "kpg": "Kapingamarangi", + "kph": "Kplang", + "kpi": "Kofei", + "kpj": "Karajá", + "kpk": "Kpan", + "kpl": "Kpala", + "kpm": "Koho", + "kpn": "Kepkiriwát", + "kpo": "Ikposo", + "kpq": "Korupun-Sela", + "kpr": "Korafe-Yegha", + "kps": "Tehit", + "kpt": "Karata", + "kpu": "Kafoa", + "kpv": "Komi-Zyrian", + "kpw": "Kobon", + "kpx": "Mountain Koiali", + "kpy": "Koryak", + "kpz": "Kupsabiny", + "kqa": "Mum", + "kqb": "Kovai", + "kqc": "Doromu-Koki", + "kqd": "Koy Sanjaq Surat", + "kqe": "Kalagan", + "kqf": "Kakabai", + "kqg": "Khe", + "kqh": "Kisankasa", + "kqi": "Koitabu", + "kqj": "Koromira", + "kqk": "Kotafon Gbe", + "kql": "Kyenele", + "kqm": "Khisa", + "kqn": "Kaonde", + "kqo": "Eastern Krahn", + "kqp": "Kimré", + "kqq": "Krenak", + "kqr": "Kimaragang", + "kqs": "Northern Kissi", + "kqt": "Klias River Kadazan", + "kqu": "Seroa", + "kqv": "Okolod", + "kqw": "Kandas", + "kqx": "Mser", + "kqy": "Koorete", + "kqz": "Korana", + "kr": "Kanuri", + "kra": "Kumhali", + "krb": "Karkin", + "krc": "Karachay-Balkar", + "krd": "Kairui-Midiki", + "kre": "Panará", + "krf": "Koro (Vanuatu)", + "krh": "Kurama", + "kri": "Krio", + "krj": "Kinaray-A", + "krk": "Kerek", + "krl": "Karelian", + "krn": "Sapo", + "kro": "Kru languages", + "krp": "Korop", + "krr": "Krung", + "krs": "Gbaya (Sudan)", + "krt": "Tumari Kanuri", + "kru": "Kurukh", + "krv": "Kavet", + "krw": "Western Krahn", + "krx": "Karon", + "kry": "Kryts", + "krz": "Sota Kanum", + "ks": "Kashmiri", + "ksa": "Shuwa-Zamani", + "ksb": "Shambala", + "ksc": "Southern Kalinga", + "ksd": "Kuanua", + "kse": "Kuni", + "ksf": "Bafia", + "ksg": "Kusaghe", + "ksh": "Kölsch", + "ksi": "Krisa; I'saka", + "ksj": "Uare", + "ksk": "Kansa", + "ksl": "Kumalu", + "ksm": "Kumba", + "ksn": "Kasiguranin", + "kso": "Kofa", + "ksp": "Kaba", + "ksq": "Kwaami", + "ksr": "Borong", + "kss": "Southern Kisi", + "kst": "Winyé", + "ksu": "Khamyang", + "ksv": "Kusu", + "ksw": "S'gaw Karen", + "ksx": "Kedang", + "ksy": "Kharia Thar", + "ksz": "Kodaku", + "kta": "Katua", + "ktb": "Kambaata", + "ktc": "Kholok", + "ktd": "Kokata; Kukatha", + "kte": "Nubri", + "ktf": "Kwami", + "ktg": "Kalkutung", + "kth": "Karanga", + "kti": "North Muyu", + "ktj": "Plapo Krumen", + "ktk": "Kaniet", + "ktl": "Koroshi", + "ktm": "Kurti", + "ktn": "Karitiâna", + "kto": "Kuot", + "ktp": "Kaduo", + "ktq": "Katabaga", + "kts": "South Muyu", + "ktt": "Ketum", + "ktu": "Kituba (Democratic Republic of Congo)", + "ktv": "Eastern Katu", + "ktw": "Kato", + "ktx": "Kaxararí", + "kty": "Kango (Bas-Uélé District)", + "ktz": "Juǀʼhoan; Juǀʼhoansi", + "ku": "Kurdish", + "kub": "Kutep", + "kuc": "Kwinsu", + "kud": "'Auhelawa", + "kue": "Kuman (Papua New Guinea)", + "kuf": "Western Katu", + "kug": "Kupa", + "kuh": "Kushi", + "kui": "Kuikúro-Kalapálo; Kalapalo", + "kuj": "Kuria", + "kuk": "Kepo'", + "kul": "Kulere", + "kum": "Kumyk", + "kun": "Kunama", + "kuo": "Kumukio", + "kup": "Kunimaipa", + "kuq": "Karipuna", + "kus": "Kusaal", + "kut": "Kutenai", + "kuu": "Upper Kuskokwim", + "kuv": "Kur", + "kuw": "Kpagua", + "kux": "Kukatja", + "kuy": "Kuuku-Ya'u", + "kuz": "Kunza", + "kv": "Komi", + "kva": "Bagvalal", + "kvb": "Kubu", + "kvc": "Kove", + "kvd": "Kui (Indonesia)", + "kve": "Kalabakan", + "kvf": "Kabalai", + "kvg": "Kuni-Boazi", + "kvh": "Komodo", + "kvi": "Kwang", + "kvj": "Psikye", + "kvk": "Korean Sign Language", + "kvl": "Kayaw", + "kvm": "Kendem", + "kvn": "Border Kuna", + "kvo": "Dobel", + "kvp": "Kompane", + "kvq": "Geba Karen", + "kvr": "Kerinci", + "kvt": "Lahta Karen; Lahta", + "kvu": "Yinbaw Karen", + "kvv": "Kola", + "kvw": "Wersing", + "kvx": "Parkari Koli", + "kvy": "Yintale Karen; Yintale", + "kvz": "Tsakwambo; Tsaukambo", + "kw": "Cornish", + "kwa": "Dâw", + "kwb": "Kwa", + "kwc": "Likwala", + "kwd": "Kwaio", + "kwe": "Kwerba", + "kwf": "Kwara'ae", + "kwg": "Sara Kaba Deme", + "kwh": "Kowiai", + "kwi": "Awa-Cuaiquer", + "kwj": "Kwanga", + "kwk": "Kwakiutl", + "kwl": "Kofyar", + "kwm": "Kwambi", + "kwn": "Kwangali", + "kwo": "Kwomtari", + "kwp": "Kodia", + "kwr": "Kwer", + "kws": "Kwese", + "kwt": "Kwesten", + "kwu": "Kwakum", + "kwv": "Sara Kaba Náà", + "kww": "Kwinti", + "kwx": "Khirwar", + "kwy": "San Salvador Kongo", + "kwz": "Kwadi", + "kxa": "Kairiru", + "kxb": "Krobu", + "kxc": "Konso; Khonso", + "kxd": "Brunei", + "kxf": "Manumanaw Karen; Manumanaw", + "kxh": "Karo (Ethiopia)", + "kxi": "Keningau Murut", + "kxj": "Kulfa", + "kxk": "Zayein Karen", + "kxm": "Northern Khmer", + "kxn": "Kanowit-Tanjong Melanau", + "kxo": "Kanoé", + "kxp": "Wadiyara Koli", + "kxq": "Smärky Kanum", + "kxr": "Koro (Papua New Guinea)", + "kxs": "Kangjia", + "kxt": "Koiwat", + "kxv": "Kuvi", + "kxw": "Konai", + "kxx": "Likuba", + "kxy": "Kayong", + "kxz": "Kerewo", + "ky": "Kirghiz; Kyrgyz", + "kya": "Kwaya", + "kyb": "Butbut Kalinga", + "kyc": "Kyaka", + "kyd": "Karey", + "kye": "Krache", + "kyf": "Kouya", + "kyg": "Keyagana", + "kyh": "Karok", + "kyi": "Kiput", + "kyj": "Karao", + "kyk": "Kamayo", + "kyl": "Kalapuya", + "kym": "Kpatili", + "kyn": "Northern Binukidnon", + "kyo": "Kelon", + "kyp": "Kang", + "kyq": "Kenga", + "kyr": "Kuruáya", + "kys": "Baram Kayan", + "kyt": "Kayagar", + "kyu": "Western Kayah", + "kyv": "Kayort", + "kyw": "Kudmali", + "kyx": "Rapoisi", + "kyy": "Kambaira", + "kyz": "Kayabí", + "kza": "Western Karaboro", + "kzb": "Kaibobo", + "kzc": "Bondoukou Kulango", + "kzd": "Kadai", + "kze": "Kosena", + "kzf": "Da'a Kaili", + "kzg": "Kikai", + "kzi": "Kelabit", + "kzk": "Kazukuru", + "kzl": "Kayeli", + "kzm": "Kais", + "kzn": "Kokola", + "kzo": "Kaningi", + "kzp": "Kaidipang", + "kzq": "Kaike", + "kzr": "Karang", + "kzs": "Sugut Dusun", + "kzu": "Kayupulau", + "kzv": "Komyandaret", + "kzw": "Karirí-Xocó", + "kzx": "Kamarian", + "kzy": "Kango (Tshopo District)", + "kzz": "Kalabra", + "la": "Latin", + "laa": "Southern Subanen", + "lab": "Linear A", + "lac": "Lacandon", + "lad": "Ladino", + "lae": "Pattani", + "laf": "Lafofa", + "lag": "Langi", + "lah": "Lahnda", + "lai": "Lambya", + "laj": "Lango (Uganda)", + "lal": "Lalia", + "lam": "Lamba", + "lan": "Laru", + "lap": "Laka (Chad)", + "laq": "Qabiao", + "lar": "Larteh", + "las": "Lama (Togo)", + "lau": "Laba", + "law": "Lauje", + "lax": "Tiwa", + "lay": "Lama Bai", + "laz": "Aribwatsa", + "lb": "Luxembourgish; Letzeburgesch", + "lbb": "Label", + "lbc": "Lakkia", + "lbe": "Lak", + "lbf": "Tinani", + "lbg": "Laopang", + "lbi": "La'bi", + "lbj": "Ladakhi", + "lbk": "Central Bontok", + "lbl": "Libon Bikol", + "lbm": "Lodhi", + "lbn": "Rmeet", + "lbo": "Laven", + "lbq": "Wampar", + "lbr": "Lohorung", + "lbs": "Libyan Sign Language", + "lbt": "Lachi", + "lbu": "Labu", + "lbv": "Lavatbura-Lamusong", + "lbw": "Tolaki", + "lbx": "Lawangan", + "lby": "Lamalama; Lamu-Lamu", + "lbz": "Lardil", + "lcc": "Legenyem", + "lcd": "Lola", + "lce": "Loncong; Sekak", + "lcf": "Lubu", + "lch": "Luchazi", + "lcl": "Lisela", + "lcm": "Tungag", + "lcp": "Western Lawa", + "lcq": "Luhu", + "lcs": "Lisabata-Nuniali", + "lda": "Kla-Dan", + "ldb": "Dũya", + "ldd": "Luri", + "ldg": "Lenyima", + "ldh": "Lamja-Dengsa-Tola", + "ldi": "Laari", + "ldj": "Lemoro", + "ldk": "Leelau", + "ldl": "Kaan", + "ldm": "Landoma", + "ldn": "Láadan", + "ldo": "Loo", + "ldp": "Tso", + "ldq": "Lufu", + "lea": "Lega-Shabunda", + "leb": "Lala-Bisa", + "lec": "Leco", + "led": "Lendu", + "lee": "Lyélé", + "lef": "Lelemi", + "leh": "Lenje", + "lei": "Lemio", + "lej": "Lengola", + "lek": "Leipon", + "lel": "Lele (Democratic Republic of Congo)", + "lem": "Nomaande", + "len": "Lenca", + "leo": "Leti (Cameroon)", + "lep": "Lepcha", + "leq": "Lembena", + "ler": "Lenkau", + "les": "Lese", + "let": "Lesing-Gelimi; Amio-Gelimi", + "leu": "Kara (Papua New Guinea)", + "lev": "Lamma", + "lew": "Ledo Kaili", + "lex": "Luang", + "ley": "Lemolang", + "lez": "Lezghian", + "lfa": "Lefa", + "lfn": "Lingua Franca Nova", + "lg": "Ganda; Luganda", + "lga": "Lungga", + "lgb": "Laghu", + "lgg": "Lugbara", + "lgh": "Laghuu", + "lgi": "Lengilu", + "lgk": "Lingarak; Neverver", + "lgl": "Wala", + "lgm": "Lega-Mwenga", + "lgn": "T'apo; Opuuo", + "lgo": "Lango (South Sudan)", + "lgq": "Logba", + "lgr": "Lengo", + "lgt": "Pahi", + "lgu": "Longgu", + "lgz": "Ligenza", + "lha": "Laha (Viet Nam)", + "lhh": "Laha (Indonesia)", + "lhi": "Lahu Shi", + "lhl": "Lahul Lohar", + "lhm": "Lhomi", + "lhn": "Lahanan", + "lhp": "Lhokpu", + "lhs": "Mlahsö", + "lht": "Lo-Toga", + "lhu": "Lahu", + "li": "Limburgan; Limburger; Limburgish", + "lia": "West-Central Limba", + "lib": "Likum", + "lic": "Hlai", + "lid": "Nyindrou", + "lie": "Likila", + "lif": "Limbu", + "lig": "Ligbi", + "lih": "Lihir", + "lij": "Ligurian", + "lik": "Lika", + "lil": "Lillooet", + "lio": "Liki", + "lip": "Sekpele", + "liq": "Libido", + "lir": "Liberian English", + "lis": "Lisu", + "liu": "Logorik", + "liv": "Liv", + "liw": "Col", + "lix": "Liabuku", + "liy": "Banda-Bambari", + "liz": "Libinza", + "lja": "Golpa", + "lje": "Rampi", + "lji": "Laiyolo", + "ljl": "Li'o", + "ljp": "Lampung Api", + "ljw": "Yirandali", + "ljx": "Yuru", + "lka": "Lakalei", + "lkb": "Kabras; Lukabaras", + "lkc": "Kucong", + "lkd": "Lakondê", + "lke": "Kenyi", + "lkh": "Lakha", + "lki": "Laki", + "lkj": "Remun", + "lkl": "Laeko-Libuat", + "lkm": "Kalaamaya", + "lkn": "Lakon; Vure", + "lko": "Khayo; Olukhayo", + "lkr": "Päri", + "lks": "Kisa; Olushisa", + "lkt": "Lakota", + "lku": "Kungkari", + "lky": "Lokoya", + "lla": "Lala-Roba", + "llb": "Lolo", + "llc": "Lele (Guinea)", + "lld": "Ladin", + "lle": "Lele (Papua New Guinea)", + "llf": "Hermit", + "llg": "Lole", + "llh": "Lamu", + "lli": "Teke-Laali", + "llj": "Ladji Ladji", + "llk": "Lelak", + "lll": "Lilau", + "llm": "Lasalimu", + "lln": "Lele (Chad)", + "llp": "North Efate", + "llq": "Lolak", + "lls": "Lithuanian Sign Language", + "llu": "Lau", + "llx": "Lauan", + "lma": "East Limba", + "lmb": "Merei", + "lmc": "Limilngan", + "lmd": "Lumun", + "lme": "Pévé", + "lmf": "South Lembata", + "lmg": "Lamogai", + "lmh": "Lambichhong", + "lmi": "Lombi", + "lmj": "West Lembata", + "lmk": "Lamkang", + "lml": "Hano", + "lmn": "Lambadi", + "lmo": "Lombard", + "lmp": "Limbum", + "lmq": "Lamatuka", + "lmr": "Lamalera", + "lmu": "Lamenu", + "lmv": "Lomaiviti", + "lmw": "Lake Miwok", + "lmx": "Laimbue", + "lmy": "Lamboya", + "ln": "Lingala", + "lna": "Langbashe", + "lnb": "Mbalanhu", + "lnd": "Lundayeh; Lun Bawang", + "lng": "Langobardic", + "lnh": "Lanoh", + "lni": "Daantanai'", + "lnj": "Leningitij", + "lnl": "South Central Banda", + "lnm": "Langam", + "lnn": "Lorediakarkar", + "lns": "Lamnso'", + "lnu": "Longuda", + "lnw": "Lanima", + "lnz": "Lonzo", + "lo": "Lao", + "loa": "Loloda", + "lob": "Lobi", + "loc": "Inonhan", + "loe": "Saluan", + "lof": "Logol", + "log": "Logo", + "loh": "Narim", + "loi": "Loma (Côte d'Ivoire)", + "loj": "Lou", + "lok": "Loko", + "lol": "Mongo", + "lom": "Loma (Liberia)", + "lon": "Malawi Lomwe", + "loo": "Lombo", + "lop": "Lopa", + "loq": "Lobala", + "lor": "Téén", + "los": "Loniu", + "lot": "Otuho", + "lou": "Louisiana Creole", + "lov": "Lopi", + "low": "Tampias Lobu", + "lox": "Loun", + "loy": "Loke", + "loz": "Lozi", + "lpa": "Lelepa", + "lpe": "Lepki", + "lpn": "Long Phuri Naga", + "lpo": "Lipo", + "lpx": "Lopit", + "lqr": "Logir", + "lra": "Rara Bakati'", + "lrc": "Northern Luri", + "lre": "Laurentian", + "lrg": "Laragia", + "lri": "Marachi; Olumarachi", + "lrk": "Loarki", + "lrl": "Lari", + "lrm": "Marama; Olumarama", + "lrn": "Lorang", + "lro": "Laro", + "lrr": "Southern Yamphu", + "lrt": "Larantuka Malay", + "lrv": "Larevat", + "lrz": "Lemerig", + "lsa": "Lasgerdi", + "lsb": "Burundian Sign Language; Langue des Signes Burundaise", + "lsc": "Albarradas Sign Language; Lengua de señas Albarradas", + "lsd": "Lishana Deni", + "lse": "Lusengo", + "lsh": "Lish", + "lsi": "Lashi", + "lsl": "Latvian Sign Language", + "lsm": "Saamia; Olusamia", + "lsn": "Tibetan Sign Language", + "lso": "Laos Sign Language", + "lsp": "Panamanian Sign Language; Lengua de Señas Panameñas", + "lsr": "Aruop", + "lss": "Lasi", + "lst": "Trinidad and Tobago Sign Language", + "lsv": "Sivia Sign Language", + "lsw": "Seychelles Sign Language; Lalang Siny Seselwa; Langue des Signes Seychelloise", + "lsy": "Mauritian Sign Language", + "lt": "Lithuanian", + "ltc": "Late Middle Chinese", + "ltg": "Latgalian", + "lth": "Thur", + "lti": "Leti (Indonesia)", + "ltn": "Latundê", + "lto": "Tsotso; Olutsotso", + "lts": "Tachoni; Lutachoni", + "ltu": "Latu", + "lu": "Luba-Katanga", + "lua": "Luba-Lulua", + "luc": "Aringa", + "lud": "Ludian", + "lue": "Luvale", + "luf": "Laua", + "lui": "Luiseno", + "luj": "Luna", + "luk": "Lunanakha", + "lul": "Olu'bo", + "lum": "Luimbi", + "lun": "Lunda", + "luo": "Luo (Kenya and Tanzania); Dholuo", + "lup": "Lumbu", + "luq": "Lucumi", + "lur": "Laura", + "lus": "Lushai", + "lut": "Lushootseed", + "luu": "Lumba-Yakkha", + "luv": "Luwati", + "luw": "Luo (Cameroon)", + "luy": "Luyia; Oluluyia", + "luz": "Southern Luri", + "lv": "Latvian", + "lva": "Maku'a", + "lvi": "Lavi", + "lvk": "Lavukaleve", + "lvs": "Standard Latvian", + "lvu": "Levuka", + "lwa": "Lwalu", + "lwe": "Lewo Eleng", + "lwg": "Wanga; Oluwanga", + "lwh": "White Lachi", + "lwl": "Eastern Lawa", + "lwm": "Laomian", + "lwo": "Luwo", + "lws": "Malawian Sign Language", + "lwt": "Lewotobi", + "lwu": "Lawu", + "lww": "Lewo", + "lxm": "Lakurumau", + "lya": "Layakha", + "lyg": "Lyngngam", + "lyn": "Luyana", + "lzh": "Literary Chinese", + "lzl": "Litzlitz", + "lzn": "Leinong Naga", + "lzz": "Laz", + "maa": "San Jerónimo Tecóatl Mazatec", + "mab": "Yutanduchi Mixtec", + "mad": "Madurese", + "mae": "Bo-Rukul", + "maf": "Mafa", + "mag": "Magahi", + "mai": "Maithili", + "maj": "Jalapa De Díaz Mazatec", + "mak": "Makasar", + "mam": "Mam", + "man": "Mandingo; Manding", + "map": "Austronesian languages", + "maq": "Chiquihuitlán Mazatec", + "mas": "Masai", + "mat": "San Francisco Matlatzinca", + "mau": "Huautla Mazatec", + "mav": "Sateré-Mawé", + "maw": "Mampruli", + "max": "North Moluccan Malay", + "maz": "Central Mazahua", + "mba": "Higaonon", + "mbb": "Western Bukidnon Manobo", + "mbc": "Macushi", + "mbd": "Dibabawon Manobo", + "mbe": "Molale", + "mbf": "Baba Malay", + "mbh": "Mangseng", + "mbi": "Ilianen Manobo", + "mbj": "Nadëb", + "mbk": "Malol", + "mbl": "Maxakalí", + "mbm": "Ombamba", + "mbn": "Macaguán", + "mbo": "Mbo (Cameroon)", + "mbp": "Malayo", + "mbq": "Maisin", + "mbr": "Nukak Makú", + "mbs": "Sarangani Manobo", + "mbt": "Matigsalug Manobo", + "mbu": "Mbula-Bwazza", + "mbv": "Mbulungish", + "mbw": "Maring", + "mbx": "Mari (East Sepik Province)", + "mby": "Memoni", + "mbz": "Amoltepec Mixtec", + "mca": "Maca", + "mcb": "Machiguenga", + "mcc": "Bitur", + "mcd": "Sharanahua", + "mce": "Itundujia Mixtec", + "mcf": "Matsés", + "mcg": "Mapoyo", + "mch": "Maquiritari", + "mci": "Mese", + "mcj": "Mvanip", + "mck": "Mbunda", + "mcl": "Macaguaje", + "mcm": "Malaccan Creole Portuguese", + "mcn": "Masana", + "mco": "Coatlán Mixe", + "mcp": "Makaa", + "mcq": "Ese", + "mcr": "Menya", + "mcs": "Mambai", + "mct": "Mengisa", + "mcu": "Cameroon Mambila", + "mcv": "Minanibai", + "mcw": "Mawa (Chad)", + "mcx": "Mpiemo", + "mcy": "South Watut", + "mcz": "Mawan", + "mda": "Mada (Nigeria)", + "mdb": "Morigi", + "mdc": "Male (Papua New Guinea)", + "mdd": "Mbum", + "mde": "Maba (Chad)", + "mdf": "Moksha", + "mdg": "Massalat", + "mdh": "Maguindanaon", + "mdi": "Mamvu", + "mdj": "Mangbetu", + "mdk": "Mangbutu", + "mdl": "Maltese Sign Language", + "mdm": "Mayogo", + "mdn": "Mbati", + "mdp": "Mbala", + "mdq": "Mbole", + "mdr": "Mandar", + "mds": "Maria (Papua New Guinea)", + "mdt": "Mbere", + "mdu": "Mboko", + "mdv": "Santa Lucía Monteverde Mixtec", + "mdw": "Mbosi", + "mdx": "Dizin", + "mdy": "Male (Ethiopia)", + "mdz": "Suruí Do Pará", + "mea": "Menka", + "meb": "Ikobi", + "mec": "Marra", + "med": "Melpa", + "mee": "Mengen", + "mef": "Megam", + "meh": "Southwestern Tlaxiaco Mixtec", + "mei": "Midob", + "mej": "Meyah", + "mek": "Mekeo", + "mel": "Central Melanau", + "mem": "Mangala", + "men": "Mende (Sierra Leone)", + "meo": "Kedah Malay", + "mep": "Miriwoong", + "meq": "Merey", + "mer": "Meru", + "mes": "Masmaje", + "met": "Mato", + "meu": "Motu", + "mev": "Mano", + "mew": "Maaka", + "mey": "Hassaniyya", + "mez": "Menominee", + "mfa": "Pattani Malay", + "mfb": "Bangka", + "mfc": "Mba", + "mfd": "Mendankwe-Nkwen", + "mfe": "Morisyen", + "mff": "Naki", + "mfg": "Mogofin", + "mfh": "Matal", + "mfi": "Wandala", + "mfj": "Mefele", + "mfk": "North Mofu", + "mfl": "Putai", + "mfm": "Marghi South", + "mfn": "Cross River Mbembe", + "mfo": "Mbe", + "mfp": "Makassar Malay", + "mfq": "Moba", + "mfr": "Marrithiyel", + "mfs": "Mexican Sign Language", + "mft": "Mokerang", + "mfu": "Mbwela", + "mfv": "Mandjak", + "mfw": "Mulaha", + "mfx": "Melo", + "mfy": "Mayo", + "mfz": "Mabaan", + "mg": "Malagasy", + "mga": "Middle Irish (900-1200)", + "mgb": "Mararit", + "mgc": "Morokodo", + "mgd": "Moru", + "mge": "Mango", + "mgf": "Maklew", + "mgg": "Mpumpong", + "mgh": "Makhuwa-Meetto", + "mgi": "Lijili", + "mgj": "Abureni", + "mgk": "Mawes", + "mgl": "Maleu-Kilenge", + "mgm": "Mambae", + "mgn": "Mbangi", + "mgo": "Meta'", + "mgp": "Eastern Magar", + "mgq": "Malila", + "mgr": "Mambwe-Lungu", + "mgs": "Manda (Tanzania)", + "mgt": "Mongol", + "mgu": "Mailu", + "mgv": "Matengo", + "mgw": "Matumbi", + "mgy": "Mbunga", + "mgz": "Mbugwe", + "mh": "Marshallese", + "mha": "Manda (India)", + "mhb": "Mahongwe", + "mhc": "Mocho", + "mhd": "Mbugu", + "mhe": "Besisi; Mah Meri", + "mhf": "Mamaa", + "mhg": "Margu", + "mhi": "Ma'di", + "mhj": "Mogholi", + "mhk": "Mungaka", + "mhl": "Mauwake", + "mhm": "Makhuwa-Moniga", + "mhn": "Mócheno", + "mho": "Mashi (Zambia)", + "mhp": "Balinese Malay", + "mhq": "Mandan", + "mhr": "Eastern Mari", + "mhs": "Buru (Indonesia)", + "mht": "Mandahuaca", + "mhu": "Digaro-Mishmi; Darang Deng", + "mhw": "Mbukushu", + "mhx": "Maru; Lhaovo", + "mhy": "Ma'anyan", + "mhz": "Mor (Mor Islands)", + "mi": "Maori", + "mia": "Miami", + "mib": "Atatláhuca Mixtec", + "mic": "Mi'kmaq; Micmac", + "mid": "Mandaic", + "mie": "Ocotepec Mixtec", + "mif": "Mofu-Gudur", + "mig": "San Miguel El Grande Mixtec", + "mih": "Chayuco Mixtec", + "mii": "Chigmecatitlán Mixtec", + "mij": "Abar; Mungbam", + "mik": "Mikasuki", + "mil": "Peñoles Mixtec", + "mim": "Alacatlatzala Mixtec", + "min": "Minangkabau", + "mio": "Pinotepa Nacional Mixtec", + "mip": "Apasco-Apoala Mixtec", + "miq": "Mískito", + "mir": "Isthmus Mixe", + "mit": "Southern Puebla Mixtec", + "miu": "Cacaloxtepec Mixtec", + "miw": "Akoye", + "mix": "Mixtepec Mixtec", + "miy": "Ayutla Mixtec", + "miz": "Coatzospan Mixtec", + "mjb": "Makalero", + "mjc": "San Juan Colorado Mixtec", + "mjd": "Northwest Maidu", + "mje": "Muskum", + "mjg": "Tu", + "mjh": "Mwera (Nyasa)", + "mji": "Kim Mun", + "mjj": "Mawak", + "mjk": "Matukar", + "mjl": "Mandeali", + "mjm": "Medebur", + "mjn": "Ma (Papua New Guinea)", + "mjo": "Malankuravan", + "mjp": "Malapandaram", + "mjq": "Malaryan", + "mjr": "Malavedan", + "mjs": "Miship", + "mjt": "Sauria Paharia", + "mju": "Manna-Dora", + "mjv": "Mannan", + "mjw": "Karbi", + "mjx": "Mahali", + "mjy": "Mahican", + "mjz": "Majhi", + "mk": "Macedonian", + "mka": "Mbre", + "mkb": "Mal Paharia", + "mkc": "Siliput", + "mke": "Mawchi", + "mkf": "Miya", + "mkg": "Mak (China)", + "mkh": "Mon-Khmer languages", + "mki": "Dhatki", + "mkj": "Mokilese", + "mkk": "Byep", + "mkl": "Mokole", + "mkm": "Moklen", + "mkn": "Kupang Malay", + "mko": "Mingang Doso", + "mkp": "Moikodi", + "mkq": "Bay Miwok", + "mkr": "Malas", + "mks": "Silacayoapan Mixtec", + "mkt": "Vamale", + "mku": "Konyanka Maninka", + "mkv": "Mafea", + "mkw": "Kituba (Congo)", + "mkx": "Kinamiging Manobo", + "mky": "East Makian", + "mkz": "Makasae", + "ml": "Malayalam", + "mla": "Malo", + "mlb": "Mbule", + "mlc": "Cao Lan", + "mle": "Manambu", + "mlf": "Mal", + "mlh": "Mape", + "mli": "Malimpung", + "mlj": "Miltu", + "mlk": "Ilwana; Kiwilwana", + "mll": "Malua Bay", + "mlm": "Mulam", + "mln": "Malango", + "mlo": "Mlomp", + "mlp": "Bargam", + "mlq": "Western Maninkakan", + "mlr": "Vame", + "mls": "Masalit", + "mlu": "To'abaita", + "mlv": "Motlav; Mwotlap", + "mlw": "Moloko", + "mlx": "Malfaxal; Naha'ai", + "mlz": "Malaynon", + "mma": "Mama", + "mmb": "Momina", + "mmc": "Michoacán Mazahua", + "mmd": "Maonan", + "mme": "Mae", + "mmf": "Mundat", + "mmg": "North Ambrym", + "mmh": "Mehináku", + "mmi": "Musar", + "mmj": "Majhwar", + "mmk": "Mukha-Dora", + "mml": "Man Met", + "mmm": "Maii", + "mmn": "Mamanwa", + "mmo": "Mangga Buang", + "mmp": "Siawi", + "mmq": "Musak", + "mmr": "Western Xiangxi Miao", + "mmt": "Malalamai", + "mmu": "Mmaala", + "mmv": "Miriti", + "mmw": "Emae", + "mmx": "Madak", + "mmy": "Migaama", + "mmz": "Mabaale", + "mn": "Mongolian", + "mna": "Mbula", + "mnb": "Muna", + "mnc": "Manchu", + "mnd": "Mondé", + "mne": "Naba", + "mnf": "Mundani", + "mng": "Eastern Mnong", + "mnh": "Mono (Democratic Republic of Congo)", + "mni": "Manipuri", + "mnj": "Munji", + "mnk": "Mandinka", + "mnl": "Tiale", + "mnm": "Mapena", + "mnn": "Southern Mnong", + "mno": "Manobo languages", + "mnp": "Min Bei Chinese", + "mnq": "Minriq", + "mnr": "Mono (USA)", + "mns": "Mansi", + "mnu": "Mer", + "mnv": "Rennell-Bellona", + "mnw": "Mon", + "mnx": "Manikion", + "mny": "Manyawa", + "mnz": "Moni", + "moa": "Mwan", + "moc": "Mocoví", + "mod": "Mobilian", + "moe": "Innu; Montagnais", + "mog": "Mongondow", + "moh": "Mohawk", + "moi": "Mboi", + "moj": "Monzombo", + "mok": "Morori", + "mom": "Mangue", + "moo": "Monom", + "mop": "Mopán Maya", + "moq": "Mor (Bomberai Peninsula)", + "mor": "Moro", + "mos": "Mossi", + "mot": "Barí", + "mou": "Mogum", + "mov": "Mohave", + "mow": "Moi (Congo)", + "mox": "Molima", + "moy": "Shekkacho", + "moz": "Mukulu; Gergiko", + "mpa": "Mpoto", + "mpb": "Malak Malak; Mullukmulluk", + "mpc": "Mangarrayi", + "mpd": "Machinere", + "mpe": "Majang", + "mpg": "Marba", + "mph": "Maung", + "mpi": "Mpade", + "mpj": "Martu Wangka; Wangkajunga", + "mpk": "Mbara (Chad)", + "mpl": "Middle Watut", + "mpm": "Yosondúa Mixtec", + "mpn": "Mindiri", + "mpo": "Miu", + "mpp": "Migabac", + "mpq": "Matís", + "mpr": "Vangunu", + "mps": "Dadibi", + "mpt": "Mian", + "mpu": "Makuráp", + "mpv": "Mungkip", + "mpw": "Mapidian", + "mpx": "Misima-Panaeati", + "mpy": "Mapia", + "mpz": "Mpi", + "mqa": "Maba (Indonesia)", + "mqb": "Mbuko", + "mqc": "Mangole", + "mqe": "Matepi", + "mqf": "Momuna", + "mqg": "Kota Bangun Kutai Malay", + "mqh": "Tlazoyaltepec Mixtec", + "mqi": "Mariri", + "mqj": "Mamasa", + "mqk": "Rajah Kabunsuwan Manobo", + "mql": "Mbelime", + "mqm": "South Marquesan", + "mqn": "Moronene", + "mqo": "Modole", + "mqp": "Manipa", + "mqq": "Minokok", + "mqr": "Mander", + "mqs": "West Makian", + "mqt": "Mok", + "mqu": "Mandari", + "mqv": "Mosimo", + "mqw": "Murupi", + "mqx": "Mamuju", + "mqy": "Manggarai", + "mqz": "Pano", + "mr": "Marathi", + "mra": "Mlabri", + "mrb": "Marino", + "mrc": "Maricopa", + "mrd": "Western Magar", + "mre": "Martha's Vineyard Sign Language", + "mrf": "Elseng", + "mrg": "Mising", + "mrh": "Mara Chin", + "mrj": "Western Mari", + "mrk": "Hmwaveke", + "mrl": "Mortlockese", + "mrm": "Merlav; Mwerlap", + "mrn": "Cheke Holo", + "mro": "Mru", + "mrp": "Morouas", + "mrq": "North Marquesan", + "mrr": "Maria (India)", + "mrs": "Maragus", + "mrt": "Marghi Central", + "mru": "Mono (Cameroon)", + "mrv": "Mangareva", + "mrw": "Maranao", + "mrx": "Maremgi; Dineor", + "mry": "Mandaya", + "mrz": "Marind", + "ms": "Malay (macrolanguage)", + "msb": "Masbatenyo", + "msc": "Sankaran Maninka", + "msd": "Yucatec Maya Sign Language", + "mse": "Musey", + "msf": "Mekwei", + "msg": "Moraid", + "msh": "Masikoro Malagasy", + "msi": "Sabah Malay", + "msj": "Ma (Democratic Republic of Congo)", + "msk": "Mansaka", + "msl": "Molof; Poule", + "msm": "Agusan Manobo", + "msn": "Vurës", + "mso": "Mombum", + "msp": "Maritsauá", + "msq": "Caac", + "msr": "Mongolian Sign Language", + "mss": "West Masela", + "msu": "Musom", + "msv": "Maslam", + "msw": "Mansoanka", + "msx": "Moresada", + "msy": "Aruamu", + "msz": "Momare", + "mt": "Maltese", + "mta": "Cotabato Manobo", + "mtb": "Anyin Morofo", + "mtc": "Munit", + "mtd": "Mualang", + "mte": "Mono (Solomon Islands)", + "mtf": "Murik (Papua New Guinea)", + "mtg": "Una", + "mth": "Munggui", + "mti": "Maiwa (Papua New Guinea)", + "mtj": "Moskona", + "mtk": "Mbe'", + "mtl": "Montol", + "mtm": "Mator", + "mtn": "Matagalpa", + "mto": "Totontepec Mixe", + "mtp": "Wichí Lhamtés Nocten", + "mtq": "Muong", + "mtr": "Mewari", + "mts": "Yora", + "mtt": "Mota", + "mtu": "Tututepec Mixtec", + "mtv": "Asaro'o", + "mtw": "Southern Binukidnon", + "mtx": "Tidaá Mixtec", + "mty": "Nabi", + "mua": "Mundang", + "mub": "Mubi", + "muc": "Ajumbu", + "mud": "Mednyj Aleut", + "mue": "Media Lengua", + "mug": "Musgu", + "muh": "Mündü", + "mui": "Musi", + "muj": "Mabire", + "muk": "Mugom", + "mum": "Maiwala", + "mun": "Munda languages", + "muo": "Nyong", + "mup": "Malvi", + "muq": "Eastern Xiangxi Miao", + "mur": "Murle", + "mus": "Creek", + "mut": "Western Muria", + "muu": "Yaaku", + "muv": "Muthuvan", + "mux": "Bo-Ung", + "muy": "Muyang", + "muz": "Mursi", + "mva": "Manam", + "mvb": "Mattole", + "mvd": "Mamboru", + "mve": "Marwari (Pakistan)", + "mvf": "Peripheral Mongolian", + "mvg": "Yucuañe Mixtec", + "mvh": "Mulgi", + "mvi": "Miyako", + "mvk": "Mekmek", + "mvl": "Mbara (Australia)", + "mvn": "Minaveha", + "mvo": "Marovo", + "mvp": "Duri", + "mvq": "Moere", + "mvr": "Marau", + "mvs": "Massep", + "mvt": "Mpotovoro", + "mvu": "Marfa", + "mvv": "Tagal Murut", + "mvw": "Machinga", + "mvx": "Meoswar", + "mvy": "Indus Kohistani", + "mvz": "Mesqan", + "mwa": "Mwatebu", + "mwb": "Juwal", + "mwc": "Are", + "mwe": "Mwera (Chimwera)", + "mwf": "Murrinh-Patha", + "mwg": "Aiklep", + "mwh": "Mouk-Aria", + "mwi": "Labo; Ninde", + "mwk": "Kita Maninkakan", + "mwl": "Mirandese", + "mwm": "Sar", + "mwn": "Nyamwanga", + "mwo": "Central Maewo", + "mwp": "Kala Lagaw Ya", + "mwq": "Mün Chin", + "mwr": "Marwari", + "mws": "Mwimbi-Muthambi", + "mwt": "Moken", + "mwu": "Mittu", + "mwv": "Mentawai", + "mww": "Hmong Daw", + "mwz": "Moingi", + "mxa": "Northwest Oaxaca Mixtec", + "mxb": "Tezoatlán Mixtec", + "mxc": "Manyika", + "mxd": "Modang", + "mxe": "Mele-Fila", + "mxf": "Malgbe", + "mxg": "Mbangala", + "mxh": "Mvuba", + "mxi": "Mozarabic", + "mxj": "Miju-Mishmi; Geman Deng", + "mxk": "Monumbo", + "mxl": "Maxi Gbe", + "mxm": "Meramera", + "mxn": "Moi (Indonesia)", + "mxo": "Mbowe", + "mxp": "Tlahuitoltepec Mixe", + "mxq": "Juquila Mixe", + "mxr": "Murik (Malaysia)", + "mxs": "Huitepec Mixtec", + "mxt": "Jamiltepec Mixtec", + "mxu": "Mada (Cameroon)", + "mxv": "Metlatónoc Mixtec", + "mxw": "Namo", + "mxx": "Mahou; Mawukakan", + "mxy": "Southeastern Nochixtlán Mixtec", + "mxz": "Central Masela", + "my": "Burmese", + "myb": "Mbay", + "myc": "Mayeka", + "mye": "Myene", + "myf": "Bambassi", + "myg": "Manta", + "myh": "Makah", + "myj": "Mangayat", + "myk": "Mamara Senoufo", + "myl": "Moma", + "mym": "Me'en", + "myn": "Mayan languages", + "myo": "Anfillo", + "myp": "Pirahã", + "myr": "Muniche", + "mys": "Mesmes", + "myu": "Mundurukú", + "myv": "Erzya", + "myw": "Muyuw", + "myx": "Masaaba", + "myy": "Macuna", + "myz": "Classical Mandaic", + "mza": "Santa María Zacatepec Mixtec", + "mzb": "Tumzabt", + "mzc": "Madagascar Sign Language", + "mzd": "Malimba", + "mze": "Morawa", + "mzg": "Monastic Sign Language", + "mzh": "Wichí Lhamtés Güisnay", + "mzi": "Ixcatlán Mazatec", + "mzj": "Manya", + "mzk": "Nigeria Mambila", + "mzl": "Mazatlán Mixe", + "mzm": "Mumuye", + "mzn": "Mazanderani", + "mzo": "Matipuhy", + "mzp": "Movima", + "mzq": "Mori Atas", + "mzr": "Marúbo", + "mzs": "Macanese", + "mzt": "Mintil", + "mzu": "Inapang", + "mzv": "Manza", + "mzw": "Deg", + "mzx": "Mawayana", + "mzy": "Mozambican Sign Language", + "mzz": "Maiadomu", + "na": "Nauru", + "naa": "Namla", + "nab": "Southern Nambikuára", + "nac": "Narak", + "nae": "Naka'ela", + "naf": "Nabak", + "nag": "Naga Pidgin", + "nah": "Nahuatl languages", + "nai": "North American Indian languages", + "naj": "Nalu", + "nak": "Nakanai", + "nal": "Nalik", + "nam": "Ngan'gityemerri", + "nan": "Min Nan Chinese", + "nao": "Naaba", + "nap": "Neapolitan", + "naq": "Khoekhoe; Nama (Namibia)", + "nar": "Iguta", + "nas": "Naasioi", + "nat": "Ca̱hungwa̱rya̱; Hungworo", + "naw": "Nawuri", + "nax": "Nakwi", + "nay": "Ngarrindjeri", + "naz": "Coatepec Nahuatl", + "nb": "Norwegian Bokmål", + "nba": "Nyemba", + "nbb": "Ndoe", + "nbc": "Chang Naga", + "nbd": "Ngbinda", + "nbe": "Konyak Naga", + "nbg": "Nagarchal", + "nbh": "Ngamo", + "nbi": "Mao Naga", + "nbj": "Ngarinyman", + "nbk": "Nake", + "nbm": "Ngbaka Ma'bo", + "nbn": "Kuri", + "nbo": "Nkukoli", + "nbp": "Nnam", + "nbq": "Nggem", + "nbr": "Numana", + "nbs": "Namibian Sign Language", + "nbt": "Na", + "nbu": "Rongmei Naga", + "nbv": "Ngamambo", + "nbw": "Southern Ngbandi", + "nby": "Ningera", + "nca": "Iyo", + "ncb": "Central Nicobarese", + "ncc": "Ponam", + "ncd": "Nachering", + "nce": "Yale", + "ncf": "Notsi", + "ncg": "Nisga'a", + "nch": "Central Huasteca Nahuatl", + "nci": "Classical Nahuatl", + "ncj": "Northern Puebla Nahuatl", + "nck": "Na-kara", + "ncl": "Michoacán Nahuatl", + "ncm": "Nambo", + "ncn": "Nauna", + "nco": "Sibe", + "ncq": "Northern Katang", + "ncr": "Ncane", + "ncs": "Nicaraguan Sign Language", + "nct": "Chothe Naga", + "ncu": "Chumburung", + "ncx": "Central Puebla Nahuatl", + "ncz": "Natchez", + "nd": "North Ndebele", + "nda": "Ndasa", + "ndb": "Kenswei Nsei", + "ndc": "Ndau", + "ndd": "Nde-Nsele-Nta", + "ndf": "Nadruvian", + "ndg": "Ndengereko", + "ndh": "Ndali", + "ndi": "Samba Leko", + "ndj": "Ndamba", + "ndk": "Ndaka", + "ndl": "Ndolo", + "ndm": "Ndam", + "ndn": "Ngundi", + "ndp": "Ndo", + "ndq": "Ndombe", + "ndr": "Ndoola", + "nds": "Low German; Low Saxon", + "ndt": "Ndunga", + "ndu": "Dugun", + "ndv": "Ndut", + "ndw": "Ndobo", + "ndx": "Nduga", + "ndy": "Lutos", + "ndz": "Ndogo", + "ne": "Nepali (macrolanguage)", + "nea": "Eastern Ngad'a", + "neb": "Toura (Côte d'Ivoire)", + "nec": "Nedebang", + "ned": "Nde-Gbite", + "nee": "Nêlêmwa-Nixumwak", + "nef": "Nefamese", + "neg": "Negidal", + "neh": "Nyenkha", + "nei": "Neo-Hittite", + "nej": "Neko", + "nek": "Neku", + "nem": "Nemi", + "nen": "Nengone", + "neo": "Ná-Meo", + "neq": "North Central Mixe", + "ner": "Yahadian", + "nes": "Bhoti Kinnauri", + "net": "Nete", + "neu": "Neo", + "nev": "Nyaheun", + "new": "Newari; Nepal Bhasa", + "nex": "Neme", + "ney": "Neyo", + "nez": "Nez Perce", + "nfa": "Dhao", + "nfd": "Ahwai", + "nfl": "Ayiwo; Äiwoo", + "nfr": "Nafaanra", + "nfu": "Mfumte", + "ng": "Ndonga", + "nga": "Ngbaka", + "ngb": "Northern Ngbandi", + "ngc": "Ngombe (Democratic Republic of Congo)", + "ngd": "Ngando (Central African Republic)", + "nge": "Ngemba", + "ngf": "Trans-New Guinea languages", + "ngg": "Ngbaka Manza", + "ngh": "Nǁng", + "ngi": "Ngizim", + "ngj": "Ngie", + "ngk": "Dalabon", + "ngl": "Lomwe", + "ngm": "Ngatik Men's Creole", + "ngn": "Ngwo", + "ngp": "Ngulu", + "ngq": "Ngurimi; Ngoreme", + "ngr": "Engdewu", + "ngs": "Gvoko", + "ngt": "Kriang; Ngeq", + "ngu": "Guerrero Nahuatl", + "ngv": "Nagumi", + "ngw": "Ngwaba", + "ngx": "Nggwahyi", + "ngy": "Tibea", + "ngz": "Ngungwel", + "nha": "Nhanda", + "nhb": "Beng", + "nhc": "Tabasco Nahuatl", + "nhd": "Chiripá; Ava Guaraní", + "nhe": "Eastern Huasteca Nahuatl", + "nhf": "Nhuwala", + "nhg": "Tetelcingo Nahuatl", + "nhh": "Nahari", + "nhi": "Zacatlán-Ahuacatlán-Tepetzintla Nahuatl", + "nhk": "Isthmus-Cosoleacaque Nahuatl", + "nhm": "Morelos Nahuatl", + "nhn": "Central Nahuatl", + "nho": "Takuu", + "nhp": "Isthmus-Pajapan Nahuatl", + "nhq": "Huaxcaleca Nahuatl", + "nhr": "Naro", + "nht": "Ometepec Nahuatl", + "nhu": "Noone", + "nhv": "Temascaltepec Nahuatl", + "nhw": "Western Huasteca Nahuatl", + "nhx": "Isthmus-Mecayapan Nahuatl", + "nhy": "Northern Oaxaca Nahuatl", + "nhz": "Santa María La Alta Nahuatl", + "nia": "Nias", + "nib": "Nakame", + "nic": "Niger-Kordofanian languages", + "nid": "Ngandi", + "nie": "Niellim", + "nif": "Nek", + "nig": "Ngalakgan", + "nih": "Nyiha (Tanzania)", + "nii": "Nii", + "nij": "Ngaju", + "nik": "Southern Nicobarese", + "nil": "Nila", + "nim": "Nilamba", + "nin": "Ninzo", + "nio": "Nganasan", + "niq": "Nandi", + "nir": "Nimboran", + "nis": "Nimi", + "nit": "Southeastern Kolami", + "niu": "Niuean", + "niv": "Gilyak", + "niw": "Nimo", + "nix": "Hema", + "niy": "Ngiti", + "niz": "Ningil", + "nja": "Nzanyi", + "njb": "Nocte Naga", + "njd": "Ndonde Hamba", + "njh": "Lotha Naga", + "nji": "Gudanji", + "njj": "Njen", + "njl": "Njalgulgule", + "njm": "Angami Naga", + "njn": "Liangmai Naga", + "njo": "Ao Naga", + "njr": "Njerep", + "njs": "Nisa", + "njt": "Ndyuka-Trio Pidgin", + "nju": "Ngadjunmaya", + "njx": "Kunyi", + "njy": "Njyem", + "njz": "Nyishi", + "nka": "Nkoya", + "nkb": "Khoibu Naga", + "nkc": "Nkongho", + "nkd": "Koireng", + "nke": "Duke", + "nkf": "Inpui Naga", + "nkg": "Nekgini", + "nkh": "Khezha Naga", + "nki": "Thangal Naga", + "nkj": "Nakai", + "nkk": "Nokuku", + "nkm": "Namat", + "nkn": "Nkangala", + "nko": "Nkonya", + "nkp": "Niuatoputapu", + "nkq": "Nkami", + "nkr": "Nukuoro", + "nks": "North Asmat", + "nkt": "Nyika (Tanzania)", + "nku": "Bouna Kulango", + "nkv": "Nyika (Malawi and Zambia)", + "nkw": "Nkutu", + "nkx": "Nkoroo", + "nkz": "Nkari", + "nl": "Dutch; Flemish", + "nla": "Ngombale", + "nlc": "Nalca", + "nle": "East Nyala", + "nlg": "Gela", + "nli": "Grangali", + "nlj": "Nyali", + "nlk": "Ninia Yali", + "nll": "Nihali", + "nlm": "Mankiyali", + "nlo": "Ngul", + "nlq": "Lao Naga", + "nlu": "Nchumbulu", + "nlv": "Orizaba Nahuatl", + "nlw": "Walangama", + "nlx": "Nahali", + "nly": "Nyamal", + "nlz": "Nalögo", + "nma": "Maram Naga", + "nmb": "Big Nambas; V'ënen Taut", + "nmc": "Ngam", + "nmd": "Ndumu", + "nme": "Mzieme Naga", + "nmf": "Tangkhul Naga (India)", + "nmg": "Kwasio", + "nmh": "Monsang Naga", + "nmi": "Nyam", + "nmj": "Ngombe (Central African Republic)", + "nmk": "Namakura", + "nml": "Ndemli", + "nmm": "Manangba", + "nmn": "ǃXóõ", + "nmo": "Moyon Naga", + "nmp": "Nimanbur", + "nmq": "Nambya", + "nmr": "Nimbari", + "nms": "Letemboi", + "nmt": "Namonuito", + "nmu": "Northeast Maidu", + "nmv": "Ngamini", + "nmw": "Nimoa; Rifao", + "nmx": "Nama (Papua New Guinea)", + "nmy": "Namuyi", + "nmz": "Nawdm", + "nn": "Norwegian Nynorsk", + "nna": "Nyangumarta", + "nnb": "Nande", + "nnc": "Nancere", + "nnd": "West Ambae", + "nne": "Ngandyera", + "nnf": "Ngaing", + "nng": "Maring Naga", + "nnh": "Ngiemboon", + "nni": "North Nuaulu", + "nnj": "Nyangatom", + "nnk": "Nankina", + "nnl": "Northern Rengma Naga", + "nnm": "Namia", + "nnn": "Ngete", + "nnp": "Wancho Naga", + "nnq": "Ngindo", + "nnr": "Narungga", + "nnt": "Nanticoke", + "nnu": "Dwang", + "nnv": "Nugunu (Australia)", + "nnw": "Southern Nuni", + "nny": "Nyangga", + "nnz": "Nda'nda'", + "no": "Norwegian", + "noa": "Woun Meu", + "noc": "Nuk", + "nod": "Northern Thai", + "noe": "Nimadi", + "nof": "Nomane", + "nog": "Nogai", + "noh": "Nomu", + "noi": "Noiri", + "noj": "Nonuya", + "nok": "Nooksack", + "nol": "Nomlaki", + "nom": "Nocamán", + "non": "Old Norse", + "nop": "Numanggang", + "noq": "Ngongo", + "nos": "Eastern Nisu", + "not": "Nomatsiguenga", + "nou": "Ewage-Notu", + "nov": "Novial", + "now": "Nyambo", + "noy": "Noy", + "noz": "Nayi", + "npa": "Nar Phu", + "npb": "Nupbikha", + "npg": "Ponyo-Gongwang Naga", + "nph": "Phom Naga", + "npi": "Nepali (individual language)", + "npl": "Southeastern Puebla Nahuatl", + "npn": "Mondropolon", + "npo": "Pochuri Naga", + "nps": "Nipsan", + "npu": "Puimei Naga", + "npx": "Noipx", + "npy": "Napu", + "nqg": "Southern Nago", + "nqk": "Kura Ede Nago", + "nql": "Ngendelengo", + "nqm": "Ndom", + "nqn": "Nen", + "nqo": "N'Ko; N’Ko", + "nqq": "Kyan-Karyaw Naga", + "nqt": "Nteng", + "nqy": "Akyaung Ari Naga", + "nr": "South Ndebele", + "nra": "Ngom", + "nrb": "Nara", + "nrc": "Noric", + "nre": "Southern Rengma Naga", + "nrf": "Jèrriais; Guernésiais", + "nrg": "Narango", + "nri": "Chokri Naga", + "nrk": "Ngarla", + "nrl": "Ngarluma", + "nrm": "Narom", + "nrn": "Norn", + "nrp": "North Picene", + "nrr": "Norra; Nora", + "nrt": "Northern Kalapuya", + "nru": "Narua", + "nrx": "Ngurmbur", + "nrz": "Lala", + "nsa": "Sangtam Naga", + "nsb": "Lower Nossob", + "nsc": "Nshi", + "nsd": "Southern Nisu", + "nse": "Nsenga", + "nsf": "Northwestern Nisu", + "nsg": "Ngasa", + "nsh": "Ngoshie", + "nsi": "Nigerian Sign Language", + "nsk": "Naskapi", + "nsl": "Norwegian Sign Language", + "nsm": "Sumi Naga", + "nsn": "Nehan", + "nso": "Pedi; Northern Sotho; Sepedi", + "nsp": "Nepalese Sign Language", + "nsq": "Northern Sierra Miwok", + "nsr": "Maritime Sign Language", + "nss": "Nali", + "nst": "Tase Naga", + "nsu": "Sierra Negra Nahuatl", + "nsv": "Southwestern Nisu", + "nsw": "Navut", + "nsx": "Nsongo", + "nsy": "Nasal", + "nsz": "Nisenan", + "ntd": "Northern Tidung", + "nte": "Nathembo", + "ntg": "Ngantangarra", + "nti": "Natioro", + "ntj": "Ngaanyatjarra", + "ntk": "Ikoma-Nata-Isenye", + "ntm": "Nateni", + "nto": "Ntomba", + "ntp": "Northern Tepehuan", + "ntr": "Delo", + "ntu": "Natügu", + "ntw": "Nottoway", + "ntx": "Tangkhul Naga (Myanmar)", + "nty": "Mantsi", + "ntz": "Natanzi", + "nua": "Yuanga", + "nub": "Nubian languages", + "nuc": "Nukuini", + "nud": "Ngala", + "nue": "Ngundu", + "nuf": "Nusu", + "nug": "Nungali", + "nuh": "Ndunda", + "nui": "Ngumbi", + "nuj": "Nyole", + "nuk": "Nuu-chah-nulth; Nuuchahnulth", + "nul": "Nusa Laut", + "num": "Niuafo'ou", + "nun": "Anong", + "nuo": "Nguôn", + "nup": "Nupe-Nupe-Tako", + "nuq": "Nukumanu", + "nur": "Nukuria", + "nus": "Nuer", + "nut": "Nung (Viet Nam)", + "nuu": "Ngbundu", + "nuv": "Northern Nuni", + "nuw": "Nguluwan", + "nux": "Mehek", + "nuy": "Nunggubuyu", + "nuz": "Tlamacazapa Nahuatl", + "nv": "Navajo; Navaho", + "nvh": "Nasarian", + "nvm": "Namiae", + "nvo": "Nyokon", + "nwa": "Nawathinehena", + "nwb": "Nyabwa", + "nwc": "Classical Newari; Classical Nepal Bhasa; Old Newari", + "nwe": "Ngwe", + "nwg": "Ngayawung", + "nwi": "Southwest Tanna", + "nwm": "Nyamusa-Molo", + "nwo": "Nauo", + "nwr": "Nawaru", + "nww": "Ndwewe", + "nwx": "Middle Newar", + "nwy": "Nottoway-Meherrin", + "nxa": "Nauete", + "nxd": "Ngando (Democratic Republic of Congo)", + "nxe": "Nage", + "nxg": "Ngad'a", + "nxi": "Nindi", + "nxk": "Koki Naga", + "nxl": "South Nuaulu", + "nxm": "Numidian", + "nxn": "Ngawun", + "nxo": "Ndambomo", + "nxq": "Naxi", + "nxr": "Ninggerum", + "nxx": "Nafri", + "ny": "Nyanja; Chewa; Chichewa", + "nyb": "Nyangbo", + "nyc": "Nyanga-li", + "nyd": "Nyore; Olunyole", + "nye": "Nyengo", + "nyf": "Giryama; Kigiryama", + "nyg": "Nyindu", + "nyh": "Nyikina", + "nyi": "Ama (Sudan)", + "nyj": "Nyanga", + "nyk": "Nyaneka", + "nyl": "Nyeu", + "nym": "Nyamwezi", + "nyn": "Nyankole", + "nyo": "Nyoro", + "nyp": "Nyang'i", + "nyq": "Nayini", + "nyr": "Nyiha (Malawi)", + "nys": "Nyungar", + "nyt": "Nyawaygi", + "nyu": "Nyungwe", + "nyv": "Nyulnyul", + "nyw": "Nyaw", + "nyx": "Nganyaywana", + "nyy": "Nyakyusa-Ngonde", + "nza": "Tigon Mbembe", + "nzb": "Njebi", + "nzd": "Nzadi", + "nzi": "Nzima", + "nzk": "Nzakara", + "nzm": "Zeme Naga", + "nzs": "New Zealand Sign Language", + "nzu": "Teke-Nzikou", + "nzy": "Nzakambay", + "nzz": "Nanga Dama Dogon", + "oaa": "Orok", + "oac": "Oroch", + "oar": "Old Aramaic (up to 700 BCE); Ancient Aramaic (up to 700 BCE)", + "oav": "Old Avar", + "obi": "Obispeño", + "obk": "Southern Bontok", + "obl": "Oblo", + "obm": "Moabite", + "obo": "Obo Manobo", + "obr": "Old Burmese", + "obt": "Old Breton", + "obu": "Obulom", + "oc": "Occitan (post 1500)", + "oca": "Ocaina", + "och": "Old Chinese", + "ocm": "Old Cham", + "oco": "Old Cornish", + "ocu": "Atzingo Matlatzinca", + "oda": "Odut", + "odk": "Od", + "odt": "Old Dutch", + "odu": "Odual", + "ofo": "Ofo", + "ofs": "Old Frisian", + "ofu": "Efutop", + "ogb": "Ogbia", + "ogc": "Ogbah", + "oge": "Old Georgian", + "ogg": "Ogbogolo", + "ogo": "Khana", + "ogu": "Ogbronuagum", + "oht": "Old Hittite", + "ohu": "Old Hungarian", + "oia": "Oirata", + "oie": "Okolie", + "oin": "Inebu One", + "oj": "Ojibwa", + "ojb": "Northwestern Ojibwa", + "ojc": "Central Ojibwa", + "ojg": "Eastern Ojibwa", + "ojp": "Old Japanese", + "ojs": "Severn Ojibwa", + "ojv": "Ontong Java", + "ojw": "Western Ojibwa", + "oka": "Okanagan", + "okb": "Okobo", + "okc": "Kobo", + "okd": "Okodia", + "oke": "Okpe (Southwestern Edo)", + "okg": "Koko Babangk", + "okh": "Koresh-e Rostam", + "oki": "Okiek", + "okj": "Oko-Juwoi", + "okk": "Kwamtim One", + "okl": "Old Kentish Sign Language", + "okm": "Middle Korean (10th-16th cent.)", + "okn": "Oki-No-Erabu", + "oko": "Old Korean (3rd-9th cent.)", + "okr": "Kirike", + "oks": "Oko-Eni-Osayen", + "oku": "Oku", + "okv": "Orokaiva", + "okx": "Okpe (Northwestern Edo)", + "okz": "Old Khmer", + "ola": "Walungge", + "old": "Mochi", + "ole": "Olekha", + "olk": "Olkol", + "olm": "Oloma", + "olo": "Livvi", + "olr": "Olrat", + "olt": "Old Lithuanian", + "olu": "Kuvale", + "om": "Oromo", + "oma": "Omaha-Ponca", + "omb": "East Ambae", + "omc": "Mochica", + "omg": "Omagua", + "omi": "Omi", + "omk": "Omok", + "oml": "Ombo", + "omn": "Minoan", + "omo": "Utarmbung", + "omp": "Old Manipuri", + "omq": "Oto-Manguean languages", + "omr": "Old Marathi", + "omt": "Omotik", + "omu": "Omurano", + "omv": "Omotic languages", + "omw": "South Tairora", + "omx": "Old Mon", + "omy": "Old Malay", + "ona": "Ona", + "onb": "Lingao", + "one": "Oneida", + "ong": "Olo", + "oni": "Onin", + "onj": "Onjob", + "onk": "Kabore One", + "onn": "Onobasulu", + "ono": "Onondaga", + "onp": "Sartang", + "onr": "Northern One", + "ons": "Ono", + "ont": "Ontenu", + "onu": "Unua", + "onw": "Old Nubian", + "onx": "Onin Based Pidgin", + "ood": "Tohono O'odham", + "oog": "Ong", + "oon": "Önge", + "oor": "Oorlams", + "oos": "Old Ossetic", + "opa": "Okpamheri", + "opk": "Kopkaka", + "opm": "Oksapmin", + "opo": "Opao", + "opt": "Opata", + "opy": "Ofayé", + "or": "Oriya (macrolanguage); Odia (macrolanguage)", + "ora": "Oroha", + "orc": "Orma", + "ore": "Orejón", + "org": "Oring", + "orh": "Oroqen", + "orn": "Orang Kanaq", + "oro": "Orokolo", + "orr": "Oruma", + "ors": "Orang Seletar", + "ort": "Adivasi Oriya", + "oru": "Ormuri", + "orv": "Old Russian", + "orw": "Oro Win", + "orx": "Oro", + "ory": "Odia (individual language); Oriya (individual language)", + "orz": "Ormu", + "os": "Ossetian; Ossetic", + "osa": "Osage", + "osc": "Oscan", + "osi": "Osing", + "osn": "Old Sundanese", + "oso": "Ososo", + "osp": "Old Spanish", + "ost": "Osatu", + "osu": "Southern One", + "osx": "Old Saxon", + "ota": "Ottoman Turkish (1500-1928)", + "otb": "Old Tibetan", + "otd": "Ot Danum", + "ote": "Mezquital Otomi", + "oti": "Oti", + "otk": "Old Turkish", + "otl": "Tilapa Otomi", + "otm": "Eastern Highland Otomi", + "otn": "Tenango Otomi", + "oto": "Otomian languages", + "otq": "Querétaro Otomi", + "otr": "Otoro", + "ots": "Estado de México Otomi", + "ott": "Temoaya Otomi", + "otu": "Otuke", + "otw": "Ottawa", + "otx": "Texcatepec Otomi", + "oty": "Old Tamil", + "otz": "Ixtenco Otomi", + "oua": "Tagargrent", + "oub": "Glio-Oubi", + "oue": "Oune", + "oui": "Old Uighur", + "oum": "Ouma", + "ovd": "Elfdalian; Övdalian", + "owi": "Owiniga", + "owl": "Old Welsh", + "oyb": "Oy", + "oyd": "Oyda", + "oym": "Wayampi", + "oyy": "Oya'oya", + "ozm": "Koonzime", + "pa": "Panjabi; Punjabi", + "paa": "Papuan languages", + "pab": "Parecís", + "pac": "Pacoh", + "pad": "Paumarí", + "pae": "Pagibete", + "paf": "Paranawát", + "pag": "Pangasinan", + "pah": "Tenharim", + "pai": "Pe", + "pak": "Parakanã", + "pal": "Pahlavi", + "pam": "Pampanga; Kapampangan", + "pao": "Northern Paiute", + "pap": "Papiamento", + "paq": "Parya", + "par": "Panamint; Timbisha", + "pas": "Papasena", + "pau": "Palauan", + "pav": "Pakaásnovos", + "paw": "Pawnee", + "pax": "Pankararé", + "pay": "Pech", + "paz": "Pankararú", + "pbb": "Páez", + "pbc": "Patamona", + "pbe": "Mezontla Popoloca", + "pbf": "Coyotepec Popoloca", + "pbg": "Paraujano", + "pbh": "E'ñapa Woromaipu", + "pbi": "Parkwa", + "pbl": "Mak (Nigeria)", + "pbm": "Puebla Mazatec", + "pbn": "Kpasam", + "pbo": "Papel", + "pbp": "Badyara", + "pbr": "Pangwa", + "pbs": "Central Pame", + "pbt": "Southern Pashto", + "pbu": "Northern Pashto", + "pbv": "Pnar", + "pby": "Pyu (Papua New Guinea)", + "pca": "Santa Inés Ahuatempan Popoloca", + "pcb": "Pear", + "pcc": "Bouyei", + "pcd": "Picard", + "pce": "Ruching Palaung", + "pcf": "Paliyan", + "pcg": "Paniya", + "pch": "Pardhan", + "pci": "Duruwa", + "pcj": "Parenga", + "pck": "Paite Chin", + "pcl": "Pardhi", + "pcm": "Nigerian Pidgin", + "pcn": "Piti", + "pcp": "Pacahuara", + "pcw": "Pyapun", + "pda": "Anam", + "pdc": "Pennsylvania German", + "pdi": "Pa Di", + "pdn": "Podena; Fedan", + "pdo": "Padoe", + "pdt": "Plautdietsch", + "pdu": "Kayan", + "pea": "Peranakan Indonesian", + "peb": "Eastern Pomo", + "ped": "Mala (Papua New Guinea)", + "pee": "Taje", + "pef": "Northeastern Pomo", + "peg": "Pengo", + "peh": "Bonan", + "pei": "Chichimeca-Jonaz", + "pej": "Northern Pomo", + "pek": "Penchal", + "pel": "Pekal", + "pem": "Phende", + "peo": "Old Persian (ca. 600-400 B.C.)", + "pep": "Kunja", + "peq": "Southern Pomo", + "pes": "Iranian Persian", + "pev": "Pémono", + "pex": "Petats", + "pey": "Petjo", + "pez": "Eastern Penan", + "pfa": "Pááfang", + "pfe": "Pere", + "pfl": "Pfaelzisch", + "pga": "Sudanese Creole Arabic", + "pgd": "Gāndhārī", + "pgg": "Pangwali", + "pgi": "Pagi", + "pgk": "Rerep", + "pgl": "Primitive Irish", + "pgn": "Paelignian", + "pgs": "Pangseng", + "pgu": "Pagu", + "pgz": "Papua New Guinean Sign Language", + "pha": "Pa-Hng", + "phd": "Phudagi", + "phg": "Phuong", + "phh": "Phukha", + "phi": "Philippine languages", + "phj": "Pahari", + "phk": "Phake", + "phl": "Phalura; Palula", + "phm": "Phimbi", + "phn": "Phoenician", + "pho": "Phunoi", + "phq": "Phana'", + "phr": "Pahari-Potwari", + "pht": "Phu Thai", + "phu": "Phuan", + "phv": "Pahlavani", + "phw": "Phangduwali", + "pi": "Pali", + "pia": "Pima Bajo", + "pib": "Yine", + "pic": "Pinji", + "pid": "Piaroa", + "pie": "Piro", + "pif": "Pingelapese", + "pig": "Pisabo", + "pih": "Pitcairn-Norfolk", + "pij": "Pijao", + "pil": "Yom", + "pim": "Powhatan", + "pin": "Piame", + "pio": "Piapoco", + "pip": "Pero", + "pir": "Piratapuyo", + "pis": "Pijin", + "pit": "Pitta Pitta", + "piu": "Pintupi-Luritja", + "piv": "Pileni; Vaeakau-Taumako", + "piw": "Pimbwe", + "pix": "Piu", + "piy": "Piya-Kwonci", + "piz": "Pije", + "pjt": "Pitjantjatjara", + "pka": "Ardhamāgadhī Prākrit", + "pkb": "Pokomo; Kipfokomo", + "pkc": "Paekche", + "pkg": "Pak-Tong", + "pkh": "Pankhu", + "pkn": "Pakanha", + "pko": "Pökoot", + "pkp": "Pukapuka", + "pkr": "Attapady Kurumba", + "pks": "Pakistan Sign Language", + "pkt": "Maleng", + "pku": "Paku", + "pl": "Polish", + "pla": "Miani", + "plb": "Polonombauk", + "plc": "Central Palawano", + "pld": "Polari", + "ple": "Palu'e", + "plf": "Central Malayo-Polynesian languages", + "plg": "Pilagá", + "plh": "Paulohi", + "plj": "Polci", + "plk": "Kohistani Shina", + "pll": "Shwe Palaung", + "pln": "Palenquero", + "plo": "Oluta Popoluca", + "plq": "Palaic", + "plr": "Palaka Senoufo", + "pls": "San Marcos Tlacoyalco Popoloca; San Marcos Tlalcoyalco Popoloca", + "plt": "Plateau Malagasy", + "plu": "Palikúr", + "plv": "Southwest Palawano", + "plw": "Brooke's Point Palawano", + "ply": "Bolyu", + "plz": "Paluan", + "pma": "Paama", + "pmb": "Pambia", + "pmd": "Pallanganmiddang", + "pme": "Pwaamei", + "pmf": "Pamona", + "pmh": "Māhārāṣṭri Prākrit", + "pmi": "Northern Pumi", + "pmj": "Southern Pumi", + "pmk": "Pamlico", + "pml": "Lingua Franca", + "pmm": "Pomo", + "pmn": "Pam", + "pmo": "Pom", + "pmq": "Northern Pame", + "pmr": "Paynamar", + "pms": "Piemontese", + "pmt": "Tuamotuan", + "pmw": "Plains Miwok", + "pmx": "Poumei Naga", + "pmy": "Papuan Malay", + "pmz": "Southern Pame", + "pna": "Punan Bah-Biau", + "pnb": "Western Panjabi", + "pnc": "Pannei", + "pnd": "Mpinda", + "pne": "Western Penan", + "png": "Pangu; Pongu", + "pnh": "Penrhyn", + "pni": "Aoheng", + "pnj": "Pinjarup", + "pnk": "Paunaka", + "pnl": "Paleni", + "pnm": "Punan Batu 1", + "pnn": "Pinai-Hagahai", + "pno": "Panobo", + "pnp": "Pancana", + "pnq": "Pana (Burkina Faso)", + "pnr": "Panim", + "pns": "Ponosakan", + "pnt": "Pontic", + "pnu": "Jiongnai Bunu", + "pnv": "Pinigura", + "pnw": "Banyjima; Panytyima", + "pnx": "Phong-Kniang", + "pny": "Pinyin", + "pnz": "Pana (Central African Republic)", + "poc": "Poqomam", + "poe": "San Juan Atzingo Popoloca", + "pof": "Poke", + "pog": "Potiguára", + "poh": "Poqomchi'", + "poi": "Highland Popoluca", + "pok": "Pokangá", + "pom": "Southeastern Pomo", + "pon": "Pohnpeian", + "poo": "Central Pomo", + "pop": "Pwapwâ", + "poq": "Texistepec Popoluca", + "pos": "Sayula Popoluca", + "pot": "Potawatomi", + "pov": "Upper Guinea Crioulo", + "pow": "San Felipe Otlaltepec Popoloca", + "pox": "Polabian", + "poy": "Pogolo", + "poz": "Malayo-Polynesian languages", + "ppe": "Papi", + "ppi": "Paipai", + "ppk": "Uma", + "ppl": "Pipil; Nicarao", + "ppm": "Papuma", + "ppn": "Papapana", + "ppo": "Folopa", + "ppp": "Pelende", + "ppq": "Pei", + "pps": "San Luís Temalacayuca Popoloca", + "ppt": "Pare", + "ppu": "Papora", + "pqa": "Pa'a", + "pqe": "Eastern Malayo-Polynesian languages", + "pqm": "Malecite-Passamaquoddy", + "pqw": "Western Malayo-Polynesian languages", + "pra": "Prakrit languages", + "prc": "Parachi", + "prd": "Parsi-Dari", + "pre": "Principense", + "prf": "Paranan", + "prg": "Prussian", + "prh": "Porohanon", + "pri": "Paicî", + "prk": "Parauk", + "prl": "Peruvian Sign Language", + "prm": "Kibiri", + "prn": "Prasuni", + "pro": "Old Provençal (to 1500); Old Occitan (to 1500)", + "prp": "Parsi", + "prq": "Ashéninka Perené", + "prr": "Puri", + "prs": "Dari; Afghan Persian", + "prt": "Phai", + "pru": "Puragi", + "prw": "Parawen", + "prx": "Purik", + "prz": "Providencia Sign Language", + "ps": "Pushto; Pashto", + "psa": "Asue Awyu", + "psc": "Iranian Sign Language; Persian Sign Language", + "psd": "Plains Indian Sign Language", + "pse": "Central Malay", + "psg": "Penang Sign Language", + "psh": "Southwest Pashai; Southwest Pashayi", + "psi": "Southeast Pashai; Southeast Pashayi", + "psl": "Puerto Rican Sign Language", + "psm": "Pauserna", + "psn": "Panasuan", + "pso": "Polish Sign Language", + "psp": "Philippine Sign Language", + "psq": "Pasi", + "psr": "Portuguese Sign Language", + "pss": "Kaulong", + "pst": "Central Pashto", + "psu": "Sauraseni Prākrit", + "psw": "Port Sandwich", + "psy": "Piscataway", + "pt": "Portuguese", + "pta": "Pai Tavytera", + "pth": "Pataxó Hã-Ha-Hãe", + "pti": "Pindiini; Wangkatha", + "ptn": "Patani", + "pto": "Zo'é", + "ptp": "Patep", + "ptq": "Pattapu", + "ptr": "Piamatsina", + "ptt": "Enrekang", + "ptu": "Bambam", + "ptv": "Port Vato", + "ptw": "Pentlatch", + "pty": "Pathiya", + "pua": "Western Highland Purepecha", + "pub": "Purum", + "puc": "Punan Merap", + "pud": "Punan Aput", + "pue": "Puelche", + "puf": "Punan Merah", + "pug": "Phuie", + "pui": "Puinave", + "puj": "Punan Tubu", + "pum": "Puma", + "puo": "Puoc", + "pup": "Pulabu", + "puq": "Puquina", + "pur": "Puruborá", + "put": "Putoh", + "puu": "Punu", + "puw": "Puluwatese", + "pux": "Puare", + "puy": "Purisimeño", + "pwa": "Pawaia", + "pwb": "Panawa", + "pwg": "Gapapaiwa", + "pwi": "Patwin", + "pwm": "Molbog", + "pwn": "Paiwan", + "pwo": "Pwo Western Karen", + "pwr": "Powari", + "pww": "Pwo Northern Karen", + "pxm": "Quetzaltepec Mixe", + "pye": "Pye Krumen", + "pym": "Fyam", + "pyn": "Poyanáwa", + "pys": "Paraguayan Sign Language; Lengua de Señas del Paraguay", + "pyu": "Puyuma", + "pyx": "Pyu (Myanmar)", + "pyy": "Pyen", + "pzh": "Pazeh", + "pzn": "Jejara Naga; Para Naga", + "qu": "Quechua", + "qua": "Quapaw", + "qub": "Huallaga Huánuco Quechua", + "quc": "K'iche'; Quiché", + "qud": "Calderón Highland Quichua", + "quf": "Lambayeque Quechua", + "qug": "Chimborazo Highland Quichua", + "quh": "South Bolivian Quechua", + "qui": "Quileute", + "quk": "Chachapoyas Quechua", + "qul": "North Bolivian Quechua", + "qum": "Sipacapense", + "qun": "Quinault", + "qup": "Southern Pastaza Quechua", + "quq": "Quinqui", + "qur": "Yanahuanca Pasco Quechua", + "qus": "Santiago del Estero Quichua", + "quv": "Sacapulteco", + "quw": "Tena Lowland Quichua", + "qux": "Yauyos Quechua", + "quy": "Ayacucho Quechua", + "quz": "Cusco Quechua", + "qva": "Ambo-Pasco Quechua", + "qvc": "Cajamarca Quechua", + "qve": "Eastern Apurímac Quechua", + "qvh": "Huamalíes-Dos de Mayo Huánuco Quechua", + "qvi": "Imbabura Highland Quichua", + "qvj": "Loja Highland Quichua", + "qvl": "Cajatambo North Lima Quechua", + "qvm": "Margos-Yarowilca-Lauricocha Quechua", + "qvn": "North Junín Quechua", + "qvo": "Napo Lowland Quechua", + "qvp": "Pacaraos Quechua", + "qvs": "San Martín Quechua", + "qvw": "Huaylla Wanca Quechua", + "qvy": "Queyu", + "qvz": "Northern Pastaza Quichua", + "qwa": "Corongo Ancash Quechua", + "qwc": "Classical Quechua", + "qwe": "Quechuan (family)", + "qwh": "Huaylas Ancash Quechua", + "qwm": "Kuman (Russia)", + "qws": "Sihuas Ancash Quechua", + "qwt": "Kwalhioqua-Tlatskanai", + "qxa": "Chiquián Ancash Quechua", + "qxc": "Chincha Quechua", + "qxh": "Panao Huánuco Quechua", + "qxl": "Salasaca Highland Quichua", + "qxn": "Northern Conchucos Ancash Quechua", + "qxo": "Southern Conchucos Ancash Quechua", + "qxp": "Puno Quechua", + "qxq": "Qashqa'i", + "qxr": "Cañar Highland Quichua", + "qxs": "Southern Qiang", + "qxt": "Santa Ana de Tusi Pasco Quechua", + "qxu": "Arequipa-La Unión Quechua", + "qxw": "Jauja Wanca Quechua", + "qya": "Quenya", + "qyp": "Quiripi", + "raa": "Dungmali", + "rab": "Camling", + "rac": "Rasawa", + "rad": "Rade", + "raf": "Western Meohang", + "rag": "Logooli; Lulogooli", + "rah": "Rabha", + "rai": "Ramoaaina", + "raj": "Rajasthani", + "rak": "Tulu-Bohuai", + "ral": "Ralte", + "ram": "Canela", + "ran": "Riantana", + "rao": "Rao", + "rap": "Rapanui", + "raq": "Saam", + "rar": "Rarotongan; Cook Islands Maori", + "ras": "Tegali", + "rat": "Razajerdi", + "rau": "Raute", + "rav": "Sampang", + "raw": "Rawang", + "rax": "Rang", + "ray": "Rapa", + "raz": "Rahambuu", + "rbb": "Rumai Palaung", + "rbk": "Northern Bontok", + "rbl": "Miraya Bikol", + "rbp": "Barababaraba", + "rcf": "Réunion Creole French", + "rdb": "Rudbari", + "rea": "Rerau", + "reb": "Rembong", + "ree": "Rejang Kayan", + "reg": "Kara (Tanzania)", + "rei": "Reli", + "rej": "Rejang", + "rel": "Rendille", + "rem": "Remo", + "ren": "Rengao", + "rer": "Rer Bare", + "res": "Reshe", + "ret": "Retta", + "rey": "Reyesano", + "rga": "Roria", + "rge": "Romano-Greek", + "rgk": "Rangkas", + "rgn": "Romagnol", + "rgr": "Resígaro", + "rgs": "Southern Roglai", + "rgu": "Ringgou", + "rhg": "Rohingya", + "rhp": "Yahang", + "ria": "Riang (India)", + "rib": "Bribri Sign Language", + "rif": "Tarifit", + "ril": "Riang Lang; Riang (Myanmar)", + "rim": "Nyaturu", + "rin": "Nungu", + "rir": "Ribun", + "rit": "Ritharrngu", + "riu": "Riung", + "rjg": "Rajong", + "rji": "Raji", + "rjs": "Rajbanshi", + "rka": "Kraol", + "rkb": "Rikbaktsa", + "rkh": "Rakahanga-Manihiki", + "rki": "Rakhine", + "rkm": "Marka", + "rkt": "Rangpuri; Kamta", + "rkw": "Arakwal", + "rm": "Romansh", + "rma": "Rama", + "rmb": "Rembarrnga", + "rmc": "Carpathian Romani", + "rmd": "Traveller Danish", + "rme": "Angloromani", + "rmf": "Kalo Finnish Romani", + "rmg": "Traveller Norwegian", + "rmh": "Murkim", + "rmi": "Lomavren", + "rmk": "Romkun", + "rml": "Baltic Romani", + "rmm": "Roma", + "rmn": "Balkan Romani", + "rmo": "Sinte Romani", + "rmp": "Rempi", + "rmq": "Caló", + "rms": "Romanian Sign Language", + "rmt": "Domari", + "rmu": "Tavringer Romani", + "rmv": "Romanova", + "rmw": "Welsh Romani", + "rmx": "Romam", + "rmy": "Vlax Romani", + "rmz": "Marma", + "rn": "Rundi", + "rnb": "Brunca Sign Language", + "rnd": "Ruund", + "rng": "Ronga", + "rnl": "Ranglong", + "rnn": "Roon", + "rnp": "Rongpo", + "rnr": "Nari Nari", + "rnw": "Rungwa", + "ro": "Romanian; Moldavian; Moldovan", + "roa": "Romance languages", + "rob": "Tae'", + "roc": "Cacgia Roglai", + "rod": "Rogo", + "roe": "Ronji", + "rof": "Rombo", + "rog": "Northern Roglai", + "rol": "Romblomanon", + "rom": "Romany", + "roo": "Rotokas", + "rop": "Kriol", + "ror": "Rongga", + "rou": "Runga", + "row": "Dela-Oenale", + "rpn": "Repanbitip", + "rpt": "Rapting", + "rri": "Ririo", + "rro": "Waima", + "rrt": "Arritinngithigh", + "rsb": "Romano-Serbian", + "rsk": "Ruthenian; Rusyn", + "rsl": "Russian Sign Language", + "rsm": "Miriwoong Sign Language", + "rsn": "Rwandan Sign Language", + "rtc": "Rungtu Chin", + "rth": "Ratahan", + "rtm": "Rotuman", + "rts": "Yurats", + "rtw": "Rathawi", + "ru": "Russian", + "rub": "Gungu", + "ruc": "Ruuli", + "rue": "Rusyn", + "ruf": "Luguru", + "rug": "Roviana", + "ruh": "Ruga", + "rui": "Rufiji", + "ruk": "Che", + "ruo": "Istro Romanian", + "rup": "Macedo-Romanian; Aromanian; Arumanian", + "ruq": "Megleno Romanian", + "rut": "Rutul", + "ruu": "Lanas Lobu", + "ruy": "Mala (Nigeria)", + "ruz": "Ruma", + "rw": "Kinyarwanda", + "rwa": "Rawo", + "rwk": "Rwa", + "rwl": "Ruwila", + "rwm": "Amba (Uganda)", + "rwo": "Rawa", + "rwr": "Marwari (India)", + "rxd": "Ngardi", + "rxw": "Karuwali; Garuwali", + "ryn": "Northern Amami-Oshima", + "rys": "Yaeyama", + "ryu": "Central Okinawan", + "rzh": "Rāziḥī", + "sa": "Sanskrit", + "saa": "Saba", + "sab": "Buglere", + "sac": "Meskwaki", + "sad": "Sandawe", + "sae": "Sabanê", + "saf": "Safaliba", + "sah": "Yakut", + "sai": "South American Indian languages", + "saj": "Sahu", + "sak": "Sake", + "sal": "Salishan languages", + "sam": "Samaritan Aramaic", + "sao": "Sause", + "saq": "Samburu", + "sar": "Saraveca", + "sas": "Sasak", + "sat": "Santali", + "sau": "Saleman", + "sav": "Saafi-Saafi", + "saw": "Sawi", + "sax": "Sa", + "say": "Saya", + "saz": "Saurashtra", + "sba": "Ngambay", + "sbb": "Simbo", + "sbc": "Kele (Papua New Guinea)", + "sbd": "Southern Samo", + "sbe": "Saliba", + "sbf": "Chabu; Shabo", + "sbg": "Seget", + "sbh": "Sori-Harengan", + "sbi": "Seti", + "sbj": "Surbakhal", + "sbk": "Safwa", + "sbl": "Botolan Sambal", + "sbm": "Sagala", + "sbn": "Sindhi Bhil", + "sbo": "Sabüm", + "sbp": "Sangu (Tanzania)", + "sbq": "Sileibi", + "sbr": "Sembakung Murut", + "sbs": "Subiya", + "sbt": "Kimki", + "sbu": "Stod Bhoti", + "sbv": "Sabine", + "sbw": "Simba", + "sbx": "Seberuang", + "sby": "Soli", + "sbz": "Sara Kaba", + "sc": "Sardinian", + "scb": "Chut", + "sce": "Dongxiang", + "scf": "San Miguel Creole French", + "scg": "Sanggau", + "sch": "Sakachep", + "sci": "Sri Lankan Creole Malay", + "sck": "Sadri", + "scl": "Shina", + "scn": "Sicilian", + "sco": "Scots", + "scp": "Hyolmo; Helambu Sherpa", + "scq": "Sa'och", + "scs": "North Slavey", + "sct": "Southern Katang", + "scu": "Shumcho", + "scv": "Sheni", + "scw": "Sha", + "scx": "Sicel", + "sd": "Sindhi", + "sda": "Toraja-Sa'dan", + "sdb": "Shabak", + "sdc": "Sassarese Sardinian", + "sde": "Surubu", + "sdf": "Sarli", + "sdg": "Savi", + "sdh": "Southern Kurdish", + "sdj": "Suundi", + "sdk": "Sos Kundi", + "sdl": "Saudi Arabian Sign Language", + "sdn": "Gallurese Sardinian", + "sdo": "Bukar-Sadung Bidayuh", + "sdp": "Sherdukpen", + "sdq": "Semandang", + "sdr": "Oraon Sadri", + "sds": "Sened", + "sdt": "Shuadit", + "sdu": "Sarudu", + "sdv": "Eastern Sudanic languages", + "sdx": "Sibu Melanau", + "sdz": "Sallands", + "se": "Northern Sami", + "sea": "Semai", + "seb": "Shempire Senoufo", + "sec": "Sechelt", + "sed": "Sedang", + "see": "Seneca", + "sef": "Cebaara Senoufo", + "seg": "Segeju", + "seh": "Sena", + "sei": "Seri", + "sej": "Sene", + "sek": "Sekani", + "sel": "Selkup", + "sem": "Semitic languages", + "sen": "Nanerigé Sénoufo", + "seo": "Suarmin", + "sep": "Sìcìté Sénoufo", + "seq": "Senara Sénoufo", + "ser": "Serrano", + "ses": "Koyraboro Senni Songhai", + "set": "Sentani", + "seu": "Serui-Laut", + "sev": "Nyarafolo Senoufo", + "sew": "Sewa Bay", + "sey": "Secoya", + "sez": "Senthang Chin", + "sfb": "Langue des signes de Belgique Francophone; French Belgian Sign Language", + "sfe": "Eastern Subanen", + "sfm": "Small Flowery Miao", + "sfs": "South African Sign Language", + "sfw": "Sehwi", + "sg": "Sango", + "sga": "Old Irish (to 900)", + "sgb": "Mag-antsi Ayta", + "sgc": "Kipsigis", + "sgd": "Surigaonon", + "sge": "Segai", + "sgg": "Swiss-German Sign Language", + "sgh": "Shughni", + "sgi": "Suga", + "sgj": "Surgujia", + "sgk": "Sangkong", + "sgm": "Singa", + "sgn": "Sign languages", + "sgp": "Singpho", + "sgr": "Sangisari", + "sgs": "Samogitian", + "sgt": "Brokpake", + "sgu": "Salas", + "sgw": "Sebat Bet Gurage", + "sgx": "Sierra Leone Sign Language", + "sgy": "Sanglechi", + "sgz": "Sursurunga", + "sh": "Serbo-Croatian", + "sha": "Shall-Zwall", + "shb": "Ninam", + "shc": "Sonde", + "shd": "Kundal Shahi", + "she": "Sheko", + "shg": "Shua", + "shh": "Shoshoni", + "shi": "Tachelhit", + "shj": "Shatt", + "shk": "Shilluk", + "shl": "Shendu", + "shm": "Shahrudi", + "shn": "Shan", + "sho": "Shanga", + "shp": "Shipibo-Conibo", + "shq": "Sala", + "shr": "Shi", + "shs": "Shuswap", + "sht": "Shasta", + "shu": "Chadian Arabic", + "shv": "Shehri", + "shw": "Shwai", + "shx": "She", + "shy": "Tachawit", + "shz": "Syenara Senoufo", + "si": "Sinhala; Sinhalese", + "sia": "Akkala Sami", + "sib": "Sebop", + "sid": "Sidamo", + "sie": "Simaa", + "sif": "Siamou", + "sig": "Paasaal", + "sih": "Zire; Sîshëë", + "sii": "Shom Peng", + "sij": "Numbami", + "sik": "Sikiana", + "sil": "Tumulung Sisaala", + "sim": "Mende (Papua New Guinea)", + "sio": "Siouan languages", + "sip": "Sikkimese", + "siq": "Sonia", + "sir": "Siri", + "sis": "Siuslaw", + "sit": "Sino-Tibetan languages", + "siu": "Sinagen", + "siv": "Sumariup", + "siw": "Siwai", + "six": "Sumau", + "siy": "Sivandi", + "siz": "Siwi", + "sja": "Epena", + "sjb": "Sajau Basap", + "sjd": "Kildin Sami", + "sje": "Pite Sami", + "sjg": "Assangori", + "sjk": "Kemi Sami", + "sjl": "Sajalong; Miji", + "sjm": "Mapun", + "sjn": "Sindarin", + "sjo": "Xibe", + "sjp": "Surjapuri", + "sjr": "Siar-Lak", + "sjs": "Senhaja De Srair", + "sjt": "Ter Sami", + "sju": "Ume Sami", + "sjw": "Shawnee", + "sk": "Slovak", + "ska": "Skagit", + "skb": "Saek", + "skc": "Ma Manda", + "skd": "Southern Sierra Miwok", + "ske": "Seke (Vanuatu)", + "skf": "Sakirabiá", + "skg": "Sakalava Malagasy", + "skh": "Sikule", + "ski": "Sika", + "skj": "Seke (Nepal)", + "skm": "Kutong", + "skn": "Kolibugan Subanon", + "sko": "Seko Tengah", + "skp": "Sekapan", + "skq": "Sininkere", + "skr": "Saraiki; Seraiki", + "sks": "Maia", + "skt": "Sakata", + "sku": "Sakao", + "skv": "Skou", + "skw": "Skepi Creole Dutch", + "skx": "Seko Padang", + "sky": "Sikaiana", + "skz": "Sekar", + "sl": "Slovenian", + "sla": "Slavic languages", + "slc": "Sáliba", + "sld": "Sissala", + "sle": "Sholaga", + "slf": "Swiss-Italian Sign Language", + "slg": "Selungai Murut", + "slh": "Southern Puget Sound Salish", + "sli": "Lower Silesian", + "slj": "Salumá", + "sll": "Salt-Yui", + "slm": "Pangutaran Sama", + "sln": "Salinan", + "slp": "Lamaholot", + "slq": "Salchuq", + "slr": "Salar", + "sls": "Singapore Sign Language", + "slt": "Sila", + "slu": "Selaru", + "slw": "Sialum", + "slx": "Salampasu", + "sly": "Selayar", + "slz": "Ma'ya", + "sm": "Samoan", + "sma": "Southern Sami", + "smb": "Simbari", + "smc": "Som", + "smf": "Auwe", + "smg": "Simbali", + "smh": "Samei", + "smi": "Sami languages", + "smj": "Lule Sami", + "smk": "Bolinao", + "sml": "Central Sama", + "smm": "Musasa", + "smn": "Inari Sami", + "smp": "Samaritan", + "smq": "Samo", + "smr": "Simeulue", + "sms": "Skolt Sami", + "smt": "Simte", + "smu": "Somray", + "smv": "Samvedi", + "smw": "Sumbawa", + "smx": "Samba", + "smy": "Semnani", + "smz": "Simeku", + "sn": "Shona", + "snc": "Sinaugoro", + "sne": "Bau Bidayuh", + "snf": "Noon", + "sng": "Sanga (Democratic Republic of Congo)", + "sni": "Sensi", + "snj": "Riverain Sango", + "snk": "Soninke", + "snl": "Sangil", + "snm": "Southern Ma'di", + "snn": "Siona", + "sno": "Snohomish", + "snp": "Siane", + "snq": "Sangu (Gabon)", + "snr": "Sihan", + "sns": "South West Bay; Nahavaq", + "snu": "Senggi; Viid", + "snv": "Sa'ban", + "snw": "Selee", + "snx": "Sam", + "sny": "Saniyo-Hiyewe", + "snz": "Kou", + "so": "Somali", + "soa": "Thai Song", + "sob": "Sobei", + "soc": "So (Democratic Republic of Congo)", + "sod": "Songoora", + "soe": "Songomeno", + "sog": "Sogdian", + "soh": "Aka", + "soi": "Sonha", + "soj": "Soi", + "sok": "Sokoro", + "sol": "Solos", + "son": "Songhai languages", + "soo": "Songo", + "sop": "Songe", + "soq": "Kanasi", + "sor": "Somrai", + "sos": "Seeku", + "sou": "Southern Thai", + "sov": "Sonsorol", + "sow": "Sowanda", + "sox": "Swo", + "soy": "Miyobe", + "soz": "Temi", + "spb": "Sepa (Indonesia)", + "spc": "Sapé", + "spd": "Saep", + "spe": "Sepa (Papua New Guinea)", + "spg": "Sian", + "spi": "Saponi", + "spk": "Sengo", + "spl": "Selepet", + "spm": "Akukem", + "spn": "Sanapaná", + "spo": "Spokane", + "spp": "Supyire Senoufo", + "spq": "Loreto-Ucayali Spanish", + "spr": "Saparua", + "sps": "Saposa", + "spt": "Spiti Bhoti", + "spu": "Sapuan", + "spv": "Sambalpuri; Kosli", + "spx": "South Picene", + "spy": "Sabaot", + "sq": "Albanian", + "sqa": "Shama-Sambuga", + "sqh": "Shau", + "sqj": "Albanian languages", + "sqk": "Albanian Sign Language", + "sqm": "Suma", + "sqn": "Susquehannock", + "sqo": "Sorkhei", + "sqq": "Sou", + "sqr": "Siculo Arabic", + "sqs": "Sri Lankan Sign Language", + "sqt": "Soqotri", + "squ": "Squamish", + "sqx": "Kufr Qassem Sign Language (KQSL)", + "sr": "Serbian", + "sra": "Saruga", + "srb": "Sora", + "src": "Logudorese Sardinian", + "sre": "Sara", + "srf": "Nafi", + "srg": "Sulod", + "srh": "Sarikoli", + "sri": "Siriano", + "srk": "Serudung Murut", + "srl": "Isirawa", + "srm": "Saramaccan", + "srn": "Sranan Tongo", + "sro": "Campidanese Sardinian", + "srq": "Sirionó", + "srr": "Serer", + "srs": "Sarsi", + "srt": "Sauri", + "sru": "Suruí", + "srv": "Southern Sorsoganon", + "srw": "Serua", + "srx": "Sirmauri", + "sry": "Sera", + "srz": "Shahmirzadi", + "ss": "Swati", + "ssa": "Nilo-Saharan languages", + "ssb": "Southern Sama", + "ssc": "Suba-Simbiti", + "ssd": "Siroi", + "sse": "Balangingi; Bangingih Sama", + "ssf": "Thao", + "ssg": "Seimat", + "ssh": "Shihhi Arabic", + "ssi": "Sansi", + "ssj": "Sausi", + "ssk": "Sunam", + "ssl": "Western Sisaala", + "ssm": "Semnam", + "ssn": "Waata", + "sso": "Sissano", + "ssp": "Spanish Sign Language", + "ssq": "So'a", + "ssr": "Swiss-French Sign Language", + "sss": "Sô", + "sst": "Sinasina", + "ssu": "Susuami", + "ssv": "Shark Bay", + "ssx": "Samberigi", + "ssy": "Saho", + "ssz": "Sengseng", + "st": "Southern Sotho", + "sta": "Settla", + "stb": "Northern Subanen", + "std": "Sentinel", + "ste": "Liana-Seti", + "stf": "Seta", + "stg": "Trieng", + "sth": "Shelta", + "sti": "Bulo Stieng", + "stj": "Matya Samo", + "stk": "Arammba", + "stl": "Stellingwerfs", + "stm": "Setaman", + "stn": "Owa", + "sto": "Stoney", + "stp": "Southeastern Tepehuan", + "stq": "Saterfriesisch", + "str": "Straits Salish", + "sts": "Shumashti", + "stt": "Budeh Stieng", + "stu": "Samtao", + "stv": "Silt'e", + "stw": "Satawalese", + "sty": "Siberian Tatar", + "su": "Sundanese", + "sua": "Sulka", + "sub": "Suku", + "suc": "Western Subanon", + "sue": "Suena", + "sug": "Suganga", + "sui": "Suki", + "suj": "Shubi", + "suk": "Sukuma", + "suo": "Bouni", + "suq": "Tirmaga-Chai Suri; Suri", + "sur": "Mwaghavul", + "sus": "Susu", + "sut": "Subtiaba", + "suv": "Puroik", + "suw": "Sumbwa", + "sux": "Sumerian", + "suy": "Suyá", + "suz": "Sunwar", + "sv": "Swedish", + "sva": "Svan", + "svb": "Ulau-Suain", + "svc": "Vincentian Creole English", + "sve": "Serili", + "svk": "Slovakian Sign Language", + "svm": "Slavomolisano", + "svs": "Savosavo", + "svx": "Skalvian", + "sw": "Swahili (macrolanguage)", + "swb": "Maore Comorian", + "swc": "Congo Swahili", + "swf": "Sere", + "swg": "Swabian", + "swh": "Swahili (individual language); Kiswahili", + "swi": "Sui", + "swj": "Sira", + "swk": "Malawi Sena", + "swl": "Swedish Sign Language", + "swm": "Samosa", + "swn": "Sawknah", + "swo": "Shanenawa", + "swp": "Suau", + "swq": "Sharwa", + "swr": "Saweru", + "sws": "Seluwasan", + "swt": "Sawila", + "swu": "Suwawa", + "swv": "Shekhawati", + "sww": "Sowa", + "swx": "Suruahá", + "swy": "Sarua", + "sxb": "Suba", + "sxc": "Sicanian", + "sxe": "Sighu", + "sxg": "Shuhi; Shixing", + "sxk": "Southern Kalapuya", + "sxl": "Selian", + "sxm": "Samre", + "sxn": "Sangir", + "sxo": "Sorothaptic", + "sxr": "Saaroa", + "sxs": "Sasaru", + "sxu": "Upper Saxon", + "sxw": "Saxwe Gbe", + "sya": "Siang", + "syb": "Central Subanen", + "syc": "Classical Syriac", + "syd": "Samoyedic languages", + "syi": "Seki", + "syk": "Sukur", + "syl": "Sylheti", + "sym": "Maya Samo", + "syn": "Senaya", + "syo": "Suoy", + "syr": "Syriac", + "sys": "Sinyar", + "syw": "Kagate", + "syx": "Samay", + "syy": "Al-Sayyid Bedouin Sign Language", + "sza": "Semelai", + "szb": "Ngalum", + "szc": "Semaq Beri", + "szd": "Seru", + "sze": "Seze", + "szg": "Sengele", + "szl": "Silesian", + "szn": "Sula", + "szp": "Suabo", + "szs": "Solomon Islands Sign Language", + "szv": "Isu (Fako Division)", + "szw": "Sawai", + "szy": "Sakizaya", + "ta": "Tamil", + "taa": "Lower Tanana", + "tab": "Tabassaran", + "tac": "Lowland Tarahumara", + "tad": "Tause", + "tae": "Tariana", + "taf": "Tapirapé", + "tag": "Tagoi", + "tai": "Tai languages", + "taj": "Eastern Tamang", + "tak": "Tala", + "tal": "Tal", + "tan": "Tangale", + "tao": "Yami", + "tap": "Taabwa", + "taq": "Tamasheq", + "tar": "Central Tarahumara", + "tas": "Tay Boi", + "tau": "Upper Tanana", + "tav": "Tatuyo", + "taw": "Tai", + "tax": "Tamki", + "tay": "Atayal", + "taz": "Tocho", + "tba": "Aikanã", + "tbc": "Takia", + "tbd": "Kaki Ae", + "tbe": "Tanimbili", + "tbf": "Mandara", + "tbg": "North Tairora", + "tbh": "Dharawal; Thurawal", + "tbi": "Gaam", + "tbj": "Tiang", + "tbk": "Calamian Tagbanwa", + "tbl": "Tboli", + "tbm": "Tagbu", + "tbn": "Barro Negro Tunebo", + "tbo": "Tawala", + "tbp": "Taworta; Diebroud", + "tbq": "Tibeto-Burman languages", + "tbr": "Tumtum", + "tbs": "Tanguat", + "tbt": "Tembo (Kitembo)", + "tbu": "Tubar", + "tbv": "Tobo", + "tbw": "Tagbanwa", + "tbx": "Kapin", + "tby": "Tabaru", + "tbz": "Ditammari", + "tca": "Ticuna", + "tcb": "Tanacross", + "tcc": "Datooga", + "tcd": "Tafi", + "tce": "Southern Tutchone", + "tcf": "Malinaltepec Me'phaa; Malinaltepec Tlapanec", + "tcg": "Tamagario", + "tch": "Turks And Caicos Creole English", + "tci": "Wára", + "tck": "Tchitchege", + "tcl": "Taman (Myanmar)", + "tcm": "Tanahmerah", + "tcn": "Tichurong", + "tco": "Taungyo", + "tcp": "Tawr Chin", + "tcq": "Kaiy", + "tcs": "Torres Strait Creole; Yumplatok", + "tct": "T'en", + "tcu": "Southeastern Tarahumara", + "tcw": "Tecpatlán Totonac", + "tcx": "Toda", + "tcy": "Tulu", + "tcz": "Thado Chin", + "tda": "Tagdal", + "tdb": "Panchpargania", + "tdc": "Emberá-Tadó", + "tdd": "Tai Nüa", + "tde": "Tiranige Diga Dogon", + "tdf": "Talieng", + "tdg": "Western Tamang", + "tdh": "Thulung", + "tdi": "Tomadino", + "tdj": "Tajio", + "tdk": "Tambas", + "tdl": "Sur", + "tdm": "Taruma", + "tdn": "Tondano", + "tdo": "Teme", + "tdq": "Tita", + "tdr": "Todrah", + "tds": "Doutai", + "tdt": "Tetun Dili", + "tdv": "Toro", + "tdx": "Tandroy-Mahafaly Malagasy", + "tdy": "Tadyawan", + "te": "Telugu", + "tea": "Temiar", + "teb": "Tetete", + "tec": "Terik", + "ted": "Tepo Krumen", + "tee": "Huehuetla Tepehua", + "tef": "Teressa", + "teg": "Teke-Tege", + "teh": "Tehuelche", + "tei": "Torricelli", + "tek": "Ibali Teke", + "tem": "Timne", + "ten": "Tama (Colombia)", + "teo": "Teso", + "tep": "Tepecano", + "teq": "Temein", + "ter": "Tereno", + "tes": "Tengger", + "tet": "Tetum", + "teu": "Soo", + "tev": "Teor", + "tew": "Tewa (USA)", + "tex": "Tennet", + "tey": "Tulishi", + "tez": "Tetserret", + "tfi": "Tofin Gbe", + "tfn": "Tanaina", + "tfo": "Tefaro", + "tfr": "Teribe", + "tft": "Ternate", + "tg": "Tajik", + "tga": "Sagalla", + "tgb": "Tobilung", + "tgc": "Tigak", + "tgd": "Ciwogai", + "tge": "Eastern Gorkha Tamang", + "tgf": "Chalikha", + "tgh": "Tobagonian Creole English", + "tgi": "Lawunuia", + "tgj": "Tagin", + "tgn": "Tandaganon", + "tgo": "Sudest", + "tgp": "Tangoa", + "tgq": "Tring", + "tgr": "Tareng", + "tgs": "Nume", + "tgt": "Central Tagbanwa", + "tgu": "Tanggu", + "tgv": "Tingui-Boto", + "tgw": "Tagwana Senoufo", + "tgx": "Tagish", + "tgy": "Togoyo", + "tgz": "Tagalaka", + "th": "Thai", + "thd": "Kuuk Thaayorre; Thayore", + "the": "Chitwania Tharu", + "thf": "Thangmi", + "thh": "Northern Tarahumara", + "thi": "Tai Long", + "thk": "Tharaka; Kitharaka", + "thl": "Dangaura Tharu", + "thm": "Aheu", + "thn": "Thachanadan", + "thp": "Thompson", + "thq": "Kochila Tharu", + "thr": "Rana Tharu", + "ths": "Thakali", + "tht": "Tahltan", + "thu": "Thuri", + "thv": "Tahaggart Tamahaq", + "thy": "Tha", + "thz": "Tayart Tamajeq", + "ti": "Tigrinya", + "tia": "Tidikelt Tamazight", + "tic": "Tira", + "tif": "Tifal", + "tig": "Tigre", + "tih": "Timugon Murut", + "tii": "Tiene", + "tij": "Tilung", + "tik": "Tikar", + "til": "Tillamook", + "tim": "Timbe", + "tin": "Tindi", + "tio": "Teop", + "tip": "Trimuris", + "tiq": "Tiéfo", + "tis": "Masadiit Itneg", + "tit": "Tinigua", + "tiu": "Adasen", + "tiv": "Tiv", + "tiw": "Tiwi", + "tix": "Southern Tiwa", + "tiy": "Tiruray", + "tiz": "Tai Hongjin", + "tja": "Tajuasohn", + "tjg": "Tunjung", + "tji": "Northern Tujia", + "tjj": "Tjungundji", + "tjl": "Tai Laing", + "tjm": "Timucua", + "tjn": "Tonjon", + "tjo": "Temacine Tamazight", + "tjp": "Tjupany", + "tjs": "Southern Tujia", + "tju": "Tjurruru", + "tjw": "Djabwurrung", + "tk": "Turkmen", + "tka": "Truká", + "tkb": "Buksa", + "tkd": "Tukudede", + "tke": "Takwane", + "tkf": "Tukumanféd", + "tkg": "Tesaka Malagasy", + "tkl": "Tokelau", + "tkm": "Takelma", + "tkn": "Toku-No-Shima", + "tkp": "Tikopia", + "tkq": "Tee", + "tkr": "Tsakhur", + "tks": "Takestani", + "tkt": "Kathoriya Tharu", + "tku": "Upper Necaxa Totonac", + "tkv": "Mur Pano", + "tkw": "Teanu", + "tkx": "Tangko", + "tkz": "Takua", + "tl": "Tagalog", + "tla": "Southwestern Tepehuan", + "tlb": "Tobelo", + "tlc": "Yecuatla Totonac", + "tld": "Talaud", + "tlf": "Telefol", + "tlg": "Tofanma", + "tlh": "Klingon; tlhIngan Hol", + "tli": "Tlingit", + "tlj": "Talinga-Bwisi", + "tlk": "Taloki", + "tll": "Tetela", + "tlm": "Tolomako", + "tln": "Talondo'", + "tlo": "Talodi", + "tlp": "Filomena Mata-Coahuitlán Totonac", + "tlq": "Tai Loi", + "tlr": "Talise", + "tls": "Tambotalo", + "tlt": "Sou Nama; Teluti", + "tlu": "Tulehu", + "tlv": "Taliabu", + "tlx": "Khehek", + "tly": "Talysh", + "tma": "Tama (Chad)", + "tmb": "Katbol; Avava", + "tmc": "Tumak", + "tmd": "Haruai", + "tme": "Tremembé", + "tmf": "Toba-Maskoy", + "tmg": "Ternateño", + "tmh": "Tamashek", + "tmi": "Tutuba", + "tmj": "Samarokena", + "tmk": "Northwestern Tamang", + "tml": "Tamnim Citak", + "tmm": "Tai Thanh", + "tmn": "Taman (Indonesia)", + "tmo": "Temoq", + "tmq": "Tumleo", + "tmr": "Jewish Babylonian Aramaic (ca. 200-1200 CE)", + "tms": "Tima", + "tmt": "Tasmate", + "tmu": "Iau", + "tmv": "Tembo (Motembo)", + "tmw": "Temuan", + "tmy": "Tami", + "tmz": "Tamanaku", + "tn": "Tswana", + "tna": "Tacana", + "tnb": "Western Tunebo", + "tnc": "Tanimuca-Retuarã", + "tnd": "Angosturas Tunebo", + "tng": "Tobanga", + "tnh": "Maiani", + "tni": "Tandia", + "tnk": "Kwamera", + "tnl": "Lenakel", + "tnm": "Tabla", + "tnn": "North Tanna", + "tno": "Toromono", + "tnp": "Whitesands", + "tnq": "Taino", + "tnr": "Ménik", + "tns": "Tenis", + "tnt": "Tontemboan", + "tnu": "Tay Khang", + "tnv": "Tangchangya", + "tnw": "Tonsawang", + "tnx": "Tanema", + "tny": "Tongwe", + "tnz": "Ten'edn", + "to": "Tonga (Tonga Islands)", + "tob": "Toba", + "toc": "Coyutla Totonac", + "tod": "Toma", + "tof": "Gizrra", + "tog": "Tonga (Nyasa)", + "toh": "Gitonga", + "toi": "Tonga (Zambia)", + "toj": "Tojolabal", + "tok": "Toki Pona", + "tol": "Tolowa", + "tom": "Tombulu", + "too": "Xicotepec De Juárez Totonac", + "top": "Papantla Totonac", + "toq": "Toposa", + "tor": "Togbo-Vara Banda", + "tos": "Highland Totonac", + "tou": "Tho", + "tov": "Upper Taromi", + "tow": "Jemez", + "tox": "Tobian", + "toy": "Topoiyo", + "toz": "To", + "tpa": "Taupota", + "tpc": "Azoyú Me'phaa; Azoyú Tlapanec", + "tpe": "Tippera", + "tpf": "Tarpia", + "tpg": "Kula", + "tpi": "Tok Pisin", + "tpj": "Tapieté", + "tpk": "Tupinikin", + "tpl": "Tlacoapa Me'phaa; Tlacoapa Tlapanec", + "tpm": "Tampulma", + "tpn": "Tupinambá", + "tpo": "Tai Pao", + "tpp": "Pisaflores Tepehua", + "tpq": "Tukpa", + "tpr": "Tuparí", + "tpt": "Tlachichilco Tepehua", + "tpu": "Tampuan", + "tpv": "Tanapag", + "tpw": "Tupí", + "tpx": "Acatepec Me'phaa; Acatepec Tlapanec", + "tpy": "Trumai", + "tpz": "Tinputz", + "tqb": "Tembé", + "tql": "Lehali", + "tqm": "Turumsa", + "tqn": "Tenino", + "tqo": "Toaripi", + "tqp": "Tomoip", + "tqq": "Tunni", + "tqr": "Torona", + "tqt": "Western Totonac", + "tqu": "Touo", + "tqw": "Tonkawa", + "tr": "Turkish", + "tra": "Tirahi", + "trb": "Terebu", + "trc": "Copala Triqui", + "trd": "Turi", + "tre": "East Tarangan", + "trf": "Trinidadian Creole English", + "trg": "Lishán Didán", + "trh": "Turaka", + "tri": "Trió", + "trj": "Toram", + "trk": "Turkic languages", + "trl": "Traveller Scottish", + "trm": "Tregami", + "trn": "Trinitario", + "tro": "Tarao Naga", + "trp": "Kok Borok", + "trq": "San Martín Itunyoso Triqui", + "trr": "Taushiro", + "trs": "Chicahuaxtla Triqui", + "trt": "Tunggare", + "tru": "Turoyo; Surayt", + "trv": "Sediq; Seediq; Taroko", + "trw": "Torwali", + "trx": "Tringgus-Sembaan Bidayuh", + "try": "Turung", + "trz": "Torá", + "ts": "Tsonga", + "tsa": "Tsaangi", + "tsb": "Tsamai", + "tsc": "Tswa", + "tsd": "Tsakonian", + "tse": "Tunisian Sign Language", + "tsg": "Tausug", + "tsh": "Tsuvan", + "tsi": "Tsimshian", + "tsj": "Tshangla", + "tsk": "Tseku", + "tsl": "Ts'ün-Lao", + "tsm": "Turkish Sign Language; Türk İşaret Dili", + "tsp": "Northern Toussian", + "tsq": "Thai Sign Language", + "tsr": "Akei", + "tss": "Taiwan Sign Language", + "tst": "Tondi Songway Kiini", + "tsu": "Tsou", + "tsv": "Tsogo", + "tsw": "Tsishingini", + "tsx": "Mubami", + "tsy": "Tebul Sign Language", + "tsz": "Purepecha", + "tt": "Tatar", + "tta": "Tutelo", + "ttb": "Gaa", + "ttc": "Tektiteko", + "ttd": "Tauade", + "tte": "Bwanabwana", + "ttf": "Tuotomb", + "ttg": "Tutong", + "tth": "Upper Ta'oih", + "tti": "Tobati", + "ttj": "Tooro", + "ttk": "Totoro", + "ttl": "Totela", + "ttm": "Northern Tutchone", + "ttn": "Towei", + "tto": "Lower Ta'oih", + "ttp": "Tombelala", + "ttq": "Tawallammat Tamajaq", + "ttr": "Tera", + "tts": "Northeastern Thai", + "ttt": "Muslim Tat", + "ttu": "Torau", + "ttv": "Titan", + "ttw": "Long Wat", + "tty": "Sikaritai", + "ttz": "Tsum", + "tua": "Wiarumus", + "tub": "Tübatulabal", + "tuc": "Mutu", + "tud": "Tuxá", + "tue": "Tuyuca", + "tuf": "Central Tunebo", + "tug": "Tunia", + "tuh": "Taulil", + "tui": "Tupuri", + "tuj": "Tugutil", + "tul": "Tula", + "tum": "Tumbuka", + "tun": "Tunica", + "tuo": "Tucano", + "tup": "Tupi languages", + "tuq": "Tedaga", + "tus": "Tuscarora", + "tut": "Altaic languages", + "tuu": "Tututni", + "tuv": "Turkana", + "tuw": "Tungus languages", + "tux": "Tuxináwa", + "tuy": "Tugen", + "tuz": "Turka", + "tva": "Vaghua", + "tvd": "Tsuvadi", + "tve": "Te'un", + "tvk": "Southeast Ambrym", + "tvl": "Tuvalu", + "tvm": "Tela-Masbuar", + "tvn": "Tavoyan", + "tvo": "Tidore", + "tvs": "Taveta", + "tvt": "Tutsa Naga", + "tvu": "Tunen", + "tvw": "Sedoa", + "tvx": "Taivoan", + "tvy": "Timor Pidgin", + "tw": "Twi", + "twa": "Twana", + "twb": "Western Tawbuid", + "twc": "Teshenawa", + "twd": "Twents", + "twe": "Tewa (Indonesia)", + "twf": "Northern Tiwa", + "twg": "Tereweng", + "twh": "Tai Dón", + "twl": "Tawara", + "twm": "Tawang Monpa", + "twn": "Twendi", + "two": "Tswapong", + "twp": "Ere", + "twq": "Tasawaq", + "twr": "Southwestern Tarahumara", + "twt": "Turiwára", + "twu": "Termanu", + "tww": "Tuwari", + "twx": "Tewe", + "twy": "Tawoyan", + "txa": "Tombonuo", + "txb": "Tokharian B", + "txc": "Tsetsaut", + "txe": "Totoli", + "txg": "Tangut", + "txh": "Thracian", + "txi": "Ikpeng", + "txj": "Tarjumo", + "txm": "Tomini", + "txn": "West Tarangan", + "txo": "Toto", + "txq": "Tii", + "txr": "Tartessian", + "txs": "Tonsea", + "txt": "Citak", + "txu": "Kayapó", + "txx": "Tatana", + "txy": "Tanosy Malagasy", + "ty": "Tahitian", + "tya": "Tauya", + "tye": "Kyanga", + "tyh": "O'du", + "tyi": "Teke-Tsaayi", + "tyj": "Tai Do; Tai Yo", + "tyl": "Thu Lao", + "tyn": "Kombai", + "typ": "Thaypan", + "tyr": "Tai Daeng", + "tys": "Tày Sa Pa", + "tyt": "Tày Tac", + "tyu": "Kua", + "tyv": "Tuvinian", + "tyx": "Teke-Tyee", + "tyy": "Tiyaa", + "tyz": "Tày", + "tza": "Tanzanian Sign Language", + "tzh": "Tzeltal", + "tzj": "Tz'utujil", + "tzl": "Talossan", + "tzm": "Central Atlas Tamazight", + "tzn": "Tugun", + "tzo": "Tzotzil", + "tzx": "Tabriak", + "uam": "Uamué", + "uan": "Kuan", + "uar": "Tairuma", + "uba": "Ubang", + "ubi": "Ubi", + "ubl": "Buhi'non Bikol", + "ubr": "Ubir", + "ubu": "Umbu-Ungu", + "uby": "Ubykh", + "uda": "Uda", + "ude": "Udihe", + "udg": "Muduga", + "udi": "Udi", + "udj": "Ujir", + "udl": "Wuzlam", + "udm": "Udmurt", + "udu": "Uduk", + "ues": "Kioko", + "ufi": "Ufim", + "ug": "Uighur; Uyghur", + "uga": "Ugaritic", + "ugb": "Kuku-Ugbanh", + "uge": "Ughele", + "ugh": "Kubachi", + "ugn": "Ugandan Sign Language", + "ugo": "Ugong", + "ugy": "Uruguayan Sign Language", + "uha": "Uhami", + "uhn": "Damal", + "uis": "Uisai", + "uiv": "Iyive", + "uji": "Tanjijili", + "uk": "Ukrainian", + "uka": "Kaburi", + "ukg": "Ukuriguma", + "ukh": "Ukhwejo", + "uki": "Kui (India)", + "ukk": "Muak Sa-aak", + "ukl": "Ukrainian Sign Language", + "ukp": "Ukpe-Bayobiri", + "ukq": "Ukwa", + "uks": "Urubú-Kaapor Sign Language; Kaapor Sign Language", + "uku": "Ukue", + "ukv": "Kuku", + "ukw": "Ukwuani-Aboh-Ndoni", + "uky": "Kuuk-Yak", + "ula": "Fungwa", + "ulb": "Ulukwumi", + "ulc": "Ulch", + "ule": "Lule", + "ulf": "Usku; Afra", + "uli": "Ulithian", + "ulk": "Meriam Mir", + "ull": "Ullatan", + "ulm": "Ulumanda'", + "uln": "Unserdeutsch", + "ulu": "Uma' Lung", + "ulw": "Ulwa", + "uma": "Umatilla", + "umb": "Umbundu", + "umc": "Marrucinian", + "umd": "Umbindhamu", + "umg": "Morrobalama; Umbuygamu", + "umi": "Ukit", + "umm": "Umon", + "umn": "Makyan Naga", + "umo": "Umotína", + "ump": "Umpila", + "umr": "Umbugarla", + "ums": "Pendau", + "umu": "Munsee", + "una": "North Watut", + "und": "Undetermined", + "une": "Uneme", + "ung": "Ngarinyin", + "uni": "Uni", + "unk": "Enawené-Nawé", + "unm": "Unami", + "unn": "Kurnai", + "unr": "Mundari", + "unu": "Unubahe", + "unx": "Munda", + "unz": "Unde Kaili", + "uon": "Kulon", + "upi": "Umeda", + "upv": "Uripiv-Wala-Rano-Atchin", + "ur": "Urdu", + "ura": "Urarina", + "urb": "Urubú-Kaapor; Kaapor", + "urc": "Urningangg", + "ure": "Uru", + "urf": "Uradhi", + "urg": "Urigina", + "urh": "Urhobo", + "uri": "Urim", + "urj": "Uralic languages", + "urk": "Urak Lawoi'", + "url": "Urali", + "urm": "Urapmin", + "urn": "Uruangnirin", + "uro": "Ura (Papua New Guinea)", + "urp": "Uru-Pa-In", + "urr": "Lehalurup; Löyöp", + "urt": "Urat", + "uru": "Urumi", + "urv": "Uruava", + "urw": "Sop", + "urx": "Urimo", + "ury": "Orya", + "urz": "Uru-Eu-Wau-Wau", + "usa": "Usarufa", + "ush": "Ushojo", + "usi": "Usui", + "usk": "Usaghade", + "usp": "Uspanteco", + "uss": "us-Saare", + "usu": "Uya", + "uta": "Otank", + "ute": "Ute-Southern Paiute", + "uth": "ut-Hun", + "utp": "Amba (Solomon Islands)", + "utr": "Etulo", + "utu": "Utu", + "uum": "Urum", + "uur": "Ura (Vanuatu)", + "uuu": "U", + "uve": "West Uvean; Fagauvea", + "uvh": "Uri", + "uvl": "Lote", + "uwa": "Kuku-Uwanh", + "uya": "Doko-Uyanga", + "uz": "Uzbek", + "uzn": "Northern Uzbek", + "uzs": "Southern Uzbek", + "vaa": "Vaagri Booli", + "vae": "Vale", + "vaf": "Vafsi", + "vag": "Vagla", + "vah": "Varhadi-Nagpuri", + "vai": "Vai", + "vaj": "Sekele; Northwestern ǃKung; Vasekele", + "val": "Vehes", + "vam": "Vanimo", + "van": "Valman", + "vao": "Vao", + "vap": "Vaiphei", + "var": "Huarijio", + "vas": "Vasavi", + "vau": "Vanuma", + "vav": "Varli", + "vay": "Wayu", + "vbb": "Southeast Babar", + "vbk": "Southwestern Bontok", + "ve": "Venda", + "vec": "Venetian", + "ved": "Veddah", + "vel": "Veluws", + "vem": "Vemgo-Mabas", + "veo": "Ventureño", + "vep": "Veps", + "ver": "Mom Jango", + "vgr": "Vaghri", + "vgt": "Vlaamse Gebarentaal; Flemish Sign Language", + "vi": "Vietnamese", + "vic": "Virgin Islands Creole English", + "vid": "Vidunda", + "vif": "Vili", + "vig": "Viemo", + "vil": "Vilela", + "vin": "Vinza", + "vis": "Vishavan", + "vit": "Viti", + "viv": "Iduna", + "vka": "Kariyarra", + "vkj": "Kujarge", + "vkk": "Kaur", + "vkl": "Kulisusu", + "vkm": "Kamakan", + "vkn": "Koro Nulu", + "vko": "Kodeoha", + "vkp": "Korlai Creole Portuguese", + "vkt": "Tenggarong Kutai Malay", + "vku": "Kurrama", + "vkz": "Koro Zuba", + "vlp": "Valpei", + "vls": "Vlaams", + "vma": "Martuyhunira", + "vmb": "Barbaram", + "vmc": "Juxtlahuaca Mixtec", + "vmd": "Mudu Koraga", + "vme": "East Masela", + "vmf": "Mainfränkisch", + "vmg": "Lungalunga", + "vmh": "Maraghei", + "vmi": "Miwa", + "vmj": "Ixtayutla Mixtec", + "vmk": "Makhuwa-Shirima", + "vml": "Malgana", + "vmm": "Mitlatongo Mixtec", + "vmp": "Soyaltepec Mazatec", + "vmq": "Soyaltepec Mixtec", + "vmr": "Marenje", + "vms": "Moksela", + "vmu": "Muluridyi", + "vmv": "Valley Maidu", + "vmw": "Makhuwa", + "vmx": "Tamazola Mixtec", + "vmy": "Ayautla Mazatec", + "vmz": "Mazatlán Mazatec", + "vnk": "Vano; Lovono", + "vnm": "Vinmavis; Neve'ei", + "vnp": "Vunapu", + "vo": "Volapük", + "vor": "Voro", + "vot": "Votic", + "vra": "Vera'a", + "vro": "Võro", + "vrs": "Varisi", + "vrt": "Burmbar; Banam Bay", + "vsi": "Moldova Sign Language", + "vsl": "Venezuelan Sign Language", + "vsv": "Valencian Sign Language; Llengua de signes valenciana", + "vto": "Vitou", + "vum": "Vumbu", + "vun": "Vunjo", + "vut": "Vute", + "vwa": "Awa (China)", + "wa": "Walloon", + "waa": "Walla Walla", + "wab": "Wab", + "wac": "Wasco-Wishram", + "wad": "Wamesa; Wondama", + "wae": "Walser", + "waf": "Wakoná", + "wag": "Wa'ema", + "wah": "Watubela", + "wai": "Wares", + "waj": "Waffa", + "wak": "Wakashan languages", + "wal": "Wolaytta; Wolaitta", + "wam": "Wampanoag", + "wan": "Wan", + "wao": "Wappo", + "wap": "Wapishana", + "waq": "Wagiman", + "war": "Waray (Philippines)", + "was": "Washo", + "wat": "Kaninuwa", + "wau": "Waurá", + "wav": "Waka", + "waw": "Waiwai", + "wax": "Watam; Marangis", + "way": "Wayana", + "waz": "Wampur", + "wba": "Warao", + "wbb": "Wabo", + "wbe": "Waritai", + "wbf": "Wara", + "wbh": "Wanda", + "wbi": "Vwanji", + "wbj": "Alagwa", + "wbk": "Waigali", + "wbl": "Wakhi", + "wbm": "Wa", + "wbp": "Warlpiri", + "wbq": "Waddar", + "wbr": "Wagdi", + "wbs": "West Bengal Sign Language", + "wbt": "Warnman", + "wbv": "Wajarri", + "wbw": "Woi", + "wca": "Yanomámi", + "wci": "Waci Gbe", + "wdd": "Wandji", + "wdg": "Wadaginam", + "wdj": "Wadjiginy", + "wdk": "Wadikali", + "wdt": "Wendat", + "wdu": "Wadjigu", + "wdy": "Wadjabangayi", + "wea": "Wewaw", + "wec": "Wè Western", + "wed": "Wedau", + "weg": "Wergaia", + "weh": "Weh", + "wei": "Kiunum", + "wem": "Weme Gbe", + "wen": "Sorbian languages", + "weo": "Wemale", + "wep": "Westphalien", + "wer": "Weri", + "wes": "Cameroon Pidgin", + "wet": "Perai", + "weu": "Rawngtu Chin", + "wew": "Wejewa", + "wfg": "Yafi; Zorop", + "wga": "Wagaya", + "wgb": "Wagawaga", + "wgg": "Wangkangurru; Wangganguru", + "wgi": "Wahgi", + "wgo": "Waigeo", + "wgu": "Wirangu", + "wgy": "Warrgamay", + "wha": "Sou Upaa; Manusela", + "whg": "North Wahgi", + "whk": "Wahau Kenyah", + "whu": "Wahau Kayan", + "wib": "Southern Toussian", + "wic": "Wichita", + "wie": "Wik-Epa", + "wif": "Wik-Keyangan", + "wig": "Wik Ngathan", + "wih": "Wik-Me'anha", + "wii": "Minidien", + "wij": "Wik-Iiyanh", + "wik": "Wikalkan", + "wil": "Wilawila", + "wim": "Wik-Mungkan", + "win": "Ho-Chunk", + "wir": "Wiraféd", + "wiu": "Wiru", + "wiv": "Vitu", + "wiy": "Wiyot", + "wja": "Waja", + "wji": "Warji", + "wka": "Kw'adza", + "wkb": "Kumbaran", + "wkd": "Wakde; Mo", + "wkl": "Kalanadi", + "wkr": "Keerray-Woorroong", + "wku": "Kunduvadi", + "wkw": "Wakawaka", + "wky": "Wangkayutyuru", + "wla": "Walio", + "wlc": "Mwali Comorian", + "wle": "Wolane", + "wlg": "Kunbarlang", + "wlh": "Welaun", + "wli": "Waioli", + "wlk": "Wailaki", + "wll": "Wali (Sudan)", + "wlm": "Middle Welsh", + "wlo": "Wolio", + "wlr": "Wailapa", + "wls": "Wallisian", + "wlu": "Wuliwuli", + "wlv": "Wichí Lhamtés Vejoz", + "wlw": "Walak", + "wlx": "Wali (Ghana)", + "wly": "Waling", + "wma": "Mawa (Nigeria)", + "wmb": "Wambaya", + "wmc": "Wamas", + "wmd": "Mamaindé", + "wme": "Wambule", + "wmg": "Western Minyag", + "wmh": "Waima'a", + "wmi": "Wamin", + "wmm": "Maiwa (Indonesia)", + "wmn": "Waamwang", + "wmo": "Wom (Papua New Guinea)", + "wms": "Wambon", + "wmt": "Walmajarri", + "wmw": "Mwani", + "wmx": "Womo", + "wnb": "Wanambre", + "wnc": "Wantoat", + "wnd": "Wandarang", + "wne": "Waneci", + "wng": "Wanggom", + "wni": "Ndzwani Comorian", + "wnk": "Wanukaka", + "wnm": "Wanggamala", + "wnn": "Wunumara", + "wno": "Wano", + "wnp": "Wanap", + "wnu": "Usan", + "wnw": "Wintu", + "wny": "Wanyi; Waanyi", + "wo": "Wolof", + "woa": "Kuwema; Tyaraity", + "wob": "Wè Northern", + "woc": "Wogeo", + "wod": "Wolani", + "woe": "Woleaian", + "wof": "Gambian Wolof", + "wog": "Wogamusin", + "woi": "Kamang", + "wok": "Longto", + "wom": "Wom (Nigeria)", + "won": "Wongo", + "woo": "Manombai", + "wor": "Woria", + "wos": "Hanga Hundi", + "wow": "Wawonii", + "woy": "Weyto", + "wpc": "Maco", + "wrb": "Waluwarra; Warluwara", + "wrg": "Warungu; Gudjal", + "wrh": "Wiradjuri", + "wri": "Wariyangga", + "wrk": "Garrwa", + "wrl": "Warlmanpa", + "wrm": "Warumungu", + "wrn": "Warnang", + "wro": "Worrorra", + "wrp": "Waropen", + "wrr": "Wardaman", + "wrs": "Waris", + "wru": "Waru", + "wrv": "Waruna", + "wrw": "Gugu Warra", + "wrx": "Wae Rana", + "wry": "Merwari", + "wrz": "Waray (Australia)", + "wsa": "Warembori", + "wsg": "Adilabad Gondi", + "wsi": "Wusi", + "wsk": "Waskia", + "wsr": "Owenia", + "wss": "Wasa", + "wsu": "Wasu", + "wsv": "Wotapuri-Katarqalai", + "wtf": "Watiwa", + "wth": "Wathawurrung", + "wti": "Berta", + "wtk": "Watakataui", + "wtm": "Mewati", + "wtw": "Wotu", + "wua": "Wikngenchera", + "wub": "Wunambal", + "wud": "Wudu", + "wuh": "Wutunhua", + "wul": "Silimo", + "wum": "Wumbvu", + "wun": "Bungu", + "wur": "Wurrugu", + "wut": "Wutung", + "wuu": "Wu Chinese", + "wuv": "Wuvulu-Aua", + "wux": "Wulna", + "wuy": "Wauyai", + "wwa": "Waama", + "wwb": "Wakabunga", + "wwo": "Wetamut; Dorig", + "wwr": "Warrwa", + "www": "Wawa", + "wxa": "Waxianghua", + "wxw": "Wardandi", + "wyb": "Wangaaybuwan-Ngiyambaa", + "wyi": "Woiwurrung", + "wym": "Wymysorys", + "wyn": "Wyandot", + "wyr": "Wayoró", + "wyy": "Western Fijian", + "xaa": "Andalusian Arabic", + "xab": "Sambe", + "xac": "Kachari", + "xad": "Adai", + "xae": "Aequian", + "xag": "Aghwan", + "xai": "Kaimbé", + "xaj": "Ararandewára", + "xak": "Máku", + "xal": "Kalmyk; Oirat", + "xam": "ǀXam", + "xan": "Xamtanga", + "xao": "Khao", + "xap": "Apalachee", + "xaq": "Aquitanian", + "xar": "Karami", + "xas": "Kamas", + "xat": "Katawixi", + "xau": "Kauwera", + "xav": "Xavánte", + "xaw": "Kawaiisu", + "xay": "Kayan Mahakam", + "xbb": "Lower Burdekin", + "xbc": "Bactrian", + "xbd": "Bindal", + "xbe": "Bigambal", + "xbg": "Bunganditj", + "xbi": "Kombio", + "xbj": "Birrpayi", + "xbm": "Middle Breton", + "xbn": "Kenaboi", + "xbo": "Bolgarian", + "xbp": "Bibbulman", + "xbr": "Kambera", + "xbw": "Kambiwá", + "xby": "Batjala; Batyala", + "xcb": "Cumbric", + "xcc": "Camunic", + "xce": "Celtiberian", + "xcg": "Cisalpine Gaulish", + "xch": "Chemakum; Chimakum", + "xcl": "Classical Armenian", + "xcm": "Comecrudo", + "xcn": "Cotoname", + "xco": "Chorasmian", + "xcr": "Carian", + "xct": "Classical Tibetan", + "xcu": "Curonian", + "xcv": "Chuvantsy", + "xcw": "Coahuilteco", + "xcy": "Cayuse", + "xda": "Darkinyung", + "xdc": "Dacian", + "xdk": "Dharuk", + "xdm": "Edomite", + "xdo": "Kwandu", + "xdq": "Kaitag", + "xdy": "Malayic Dayak", + "xeb": "Eblan", + "xed": "Hdi", + "xeg": "ǁXegwi", + "xel": "Kelo", + "xem": "Kembayan", + "xep": "Epi-Olmec", + "xer": "Xerénte", + "xes": "Kesawai", + "xet": "Xetá", + "xeu": "Keoru-Ahia", + "xfa": "Faliscan", + "xga": "Galatian", + "xgb": "Gbin", + "xgd": "Gudang", + "xgf": "Gabrielino-Fernandeño", + "xgg": "Goreng", + "xgi": "Garingbal", + "xgl": "Galindan", + "xgm": "Dharumbal; Guwinmal", + "xgn": "Mongolian languages", + "xgr": "Garza", + "xgu": "Unggumi", + "xgw": "Guwa", + "xh": "Xhosa", + "xha": "Harami", + "xhc": "Hunnic", + "xhd": "Hadrami", + "xhe": "Khetrani", + "xhm": "Middle Khmer (1400 to 1850 CE)", + "xhr": "Hernican", + "xht": "Hattic", + "xhu": "Hurrian", + "xhv": "Khua", + "xib": "Iberian", + "xii": "Xiri", + "xil": "Illyrian", + "xin": "Xinca", + "xir": "Xiriâna", + "xis": "Kisan", + "xiv": "Indus Valley Language", + "xiy": "Xipaya", + "xjb": "Minjungbal", + "xjt": "Jaitmatang", + "xka": "Kalkoti", + "xkb": "Northern Nago", + "xkc": "Kho'ini", + "xkd": "Mendalam Kayan", + "xke": "Kereho", + "xkf": "Khengkha", + "xkg": "Kagoro", + "xki": "Kenyan Sign Language", + "xkj": "Kajali", + "xkk": "Kachok; Kaco'", + "xkl": "Mainstream Kenyah", + "xkn": "Kayan River Kayan", + "xko": "Kiorr", + "xkp": "Kabatei", + "xkq": "Koroni", + "xkr": "Xakriabá", + "xks": "Kumbewaha", + "xkt": "Kantosi", + "xku": "Kaamba", + "xkv": "Kgalagadi", + "xkw": "Kembra", + "xkx": "Karore", + "xky": "Uma' Lasan", + "xkz": "Kurtokha", + "xla": "Kamula", + "xlb": "Loup B", + "xlc": "Lycian", + "xld": "Lydian", + "xle": "Lemnian", + "xlg": "Ligurian (Ancient)", + "xli": "Liburnian", + "xln": "Alanic", + "xlo": "Loup A", + "xlp": "Lepontic", + "xls": "Lusitanian", + "xlu": "Cuneiform Luwian", + "xly": "Elymian", + "xma": "Mushungulu", + "xmb": "Mbonga", + "xmc": "Makhuwa-Marrevone", + "xmd": "Mbudum", + "xme": "Median", + "xmf": "Mingrelian", + "xmg": "Mengaka", + "xmh": "Kugu-Muminh", + "xmj": "Majera", + "xmk": "Ancient Macedonian", + "xml": "Malaysian Sign Language", + "xmm": "Manado Malay", + "xmn": "Manichaean Middle Persian", + "xmo": "Morerebi", + "xmp": "Kuku-Mu'inh", + "xmq": "Kuku-Mangk", + "xmr": "Meroitic", + "xms": "Moroccan Sign Language", + "xmt": "Matbat", + "xmu": "Kamu", + "xmv": "Antankarana Malagasy; Tankarana Malagasy", + "xmw": "Tsimihety Malagasy", + "xmx": "Salawati; Maden", + "xmy": "Mayaguduna", + "xmz": "Mori Bawah", + "xna": "Ancient North Arabian", + "xnb": "Kanakanabu", + "xnd": "Na-Dene languages", + "xng": "Middle Mongolian", + "xnh": "Kuanhua", + "xni": "Ngarigu", + "xnj": "Ngoni (Tanzania)", + "xnk": "Nganakarti", + "xnm": "Ngumbarl", + "xnn": "Northern Kankanay", + "xno": "Anglo-Norman", + "xnq": "Ngoni (Mozambique)", + "xnr": "Kangri", + "xns": "Kanashi", + "xnt": "Narragansett", + "xnu": "Nukunul", + "xny": "Nyiyaparli", + "xnz": "Kenzi; Mattoki", + "xoc": "O'chi'chi'", + "xod": "Kokoda", + "xog": "Soga", + "xoi": "Kominimung", + "xok": "Xokleng", + "xom": "Komo (Sudan)", + "xon": "Konkomba", + "xoo": "Xukurú", + "xop": "Kopar", + "xor": "Korubo", + "xow": "Kowaki", + "xpa": "Pirriya", + "xpb": "Northeastern Tasmanian; Pyemmairrener", + "xpc": "Pecheneg", + "xpd": "Oyster Bay Tasmanian", + "xpe": "Liberia Kpelle", + "xpf": "Southeast Tasmanian; Nuenonne", + "xpg": "Phrygian", + "xph": "North Midlands Tasmanian; Tyerrenoterpanner", + "xpi": "Pictish", + "xpj": "Mpalitjanh", + "xpk": "Kulina Pano", + "xpl": "Port Sorell Tasmanian", + "xpm": "Pumpokol", + "xpn": "Kapinawá", + "xpo": "Pochutec", + "xpp": "Puyo-Paekche", + "xpq": "Mohegan-Pequot", + "xpr": "Parthian", + "xps": "Pisidian", + "xpt": "Punthamara", + "xpu": "Punic", + "xpv": "Northern Tasmanian; Tommeginne", + "xpw": "Northwestern Tasmanian; Peerapper", + "xpx": "Southwestern Tasmanian; Toogee", + "xpy": "Puyo", + "xpz": "Bruny Island Tasmanian", + "xqa": "Karakhanid", + "xqt": "Qatabanian", + "xra": "Krahô", + "xrb": "Eastern Karaboro", + "xrd": "Gundungurra", + "xre": "Kreye", + "xrg": "Minang", + "xri": "Krikati-Timbira", + "xrm": "Armazic", + "xrn": "Arin", + "xrr": "Raetic", + "xrt": "Aranama-Tamique", + "xru": "Marriammu", + "xrw": "Karawa", + "xsa": "Sabaean", + "xsb": "Sambal", + "xsc": "Scythian", + "xsd": "Sidetic", + "xse": "Sempan", + "xsh": "Shamang", + "xsi": "Sio", + "xsj": "Subi", + "xsl": "South Slavey", + "xsm": "Kasem", + "xsn": "Sanga (Nigeria)", + "xso": "Solano", + "xsp": "Silopi", + "xsq": "Makhuwa-Saka", + "xsr": "Sherpa", + "xss": "Assan", + "xsu": "Sanumá", + "xsv": "Sudovian", + "xsy": "Saisiyat", + "xta": "Alcozauca Mixtec", + "xtb": "Chazumba Mixtec", + "xtc": "Katcha-Kadugli-Miri", + "xtd": "Diuxi-Tilantongo Mixtec", + "xte": "Ketengban", + "xtg": "Transalpine Gaulish", + "xth": "Yitha Yitha", + "xti": "Sinicahua Mixtec", + "xtj": "San Juan Teita Mixtec", + "xtl": "Tijaltepec Mixtec", + "xtm": "Magdalena Peñasco Mixtec", + "xtn": "Northern Tlaxiaco Mixtec", + "xto": "Tokharian A", + "xtp": "San Miguel Piedras Mixtec", + "xtq": "Tumshuqese", + "xtr": "Early Tripuri", + "xts": "Sindihui Mixtec", + "xtt": "Tacahua Mixtec", + "xtu": "Cuyamecalco Mixtec", + "xtv": "Thawa", + "xtw": "Tawandê", + "xty": "Yoloxochitl Mixtec", + "xua": "Alu Kurumba", + "xub": "Betta Kurumba", + "xud": "Umiida", + "xug": "Kunigami", + "xuj": "Jennu Kurumba", + "xul": "Ngunawal; Nunukul", + "xum": "Umbrian", + "xun": "Unggaranggu", + "xuo": "Kuo", + "xup": "Upper Umpqua", + "xur": "Urartian", + "xut": "Kuthant", + "xuu": "Kxoe; Khwedam", + "xve": "Venetic", + "xvi": "Kamviri", + "xvn": "Vandalic", + "xvo": "Volscian", + "xvs": "Vestinian", + "xwa": "Kwaza", + "xwc": "Woccon", + "xwd": "Wadi Wadi", + "xwe": "Xwela Gbe", + "xwg": "Kwegu", + "xwj": "Wajuk", + "xwk": "Wangkumara", + "xwl": "Western Xwla Gbe", + "xwo": "Written Oirat", + "xwr": "Kwerba Mamberamo", + "xwt": "Wotjobaluk", + "xww": "Wemba Wemba", + "xxb": "Boro (Ghana)", + "xxk": "Ke'o", + "xxm": "Minkin", + "xxr": "Koropó", + "xxt": "Tambora", + "xya": "Yaygir", + "xyb": "Yandjibara", + "xyj": "Mayi-Yapi", + "xyk": "Mayi-Kulan", + "xyl": "Yalakalore", + "xyt": "Mayi-Thakurti", + "xyy": "Yorta Yorta", + "xzh": "Zhang-Zhung", + "xzm": "Zemgalian", + "xzp": "Ancient Zapotec", + "yaa": "Yaminahua", + "yab": "Yuhup", + "yac": "Pass Valley Yali", + "yad": "Yagua", + "yae": "Pumé", + "yaf": "Yaka (Democratic Republic of Congo)", + "yag": "Yámana", + "yah": "Yazgulyam", + "yai": "Yagnobi", + "yaj": "Banda-Yangere", + "yak": "Yakama", + "yal": "Yalunka", + "yam": "Yamba", + "yan": "Mayangna", + "yao": "Yao", + "yap": "Yapese", + "yaq": "Yaqui", + "yar": "Yabarana", + "yas": "Nugunu (Cameroon)", + "yat": "Yambeta", + "yau": "Yuwana", + "yav": "Yangben", + "yaw": "Yawalapití", + "yax": "Yauma", + "yay": "Agwagwune", + "yaz": "Lokaa", + "yba": "Yala", + "ybb": "Yemba", + "ybe": "West Yugur", + "ybh": "Yakha", + "ybi": "Yamphu", + "ybj": "Hasha", + "ybk": "Bokha", + "ybl": "Yukuben", + "ybm": "Yaben", + "ybn": "Yabaâna", + "ybo": "Yabong", + "ybx": "Yawiyo", + "yby": "Yaweyuha", + "ych": "Chesu", + "ycl": "Lolopo", + "ycn": "Yucuna", + "ycp": "Chepya", + "yda": "Yanda", + "ydd": "Eastern Yiddish", + "yde": "Yangum Dey", + "ydg": "Yidgha", + "ydk": "Yoidik", + "yea": "Ravula", + "yec": "Yeniche", + "yee": "Yimas", + "yei": "Yeni", + "yej": "Yevanic", + "yel": "Yela", + "yer": "Tarok", + "yes": "Nyankpa", + "yet": "Yetfa", + "yeu": "Yerukula", + "yev": "Yapunda", + "yey": "Yeyi", + "yga": "Malyangapa", + "ygi": "Yiningayi", + "ygl": "Yangum Gel", + "ygm": "Yagomi", + "ygp": "Gepo", + "ygr": "Yagaria", + "ygs": "Yolŋu Sign Language", + "ygu": "Yugul", + "ygw": "Yagwoia", + "yha": "Baha Buyang", + "yhd": "Judeo-Iraqi Arabic", + "yhl": "Hlepho Phowa", + "yhs": "Yan-nhaŋu Sign Language", + "yi": "Yiddish", + "yia": "Yinggarda", + "yif": "Ache", + "yig": "Wusa Nasu", + "yih": "Western Yiddish", + "yii": "Yidiny", + "yij": "Yindjibarndi", + "yik": "Dongshanba Lalo", + "yil": "Yindjilandji", + "yim": "Yimchungru Naga", + "yin": "Riang Lai; Yinchia", + "yip": "Pholo", + "yiq": "Miqie", + "yir": "North Awyu", + "yis": "Yis", + "yit": "Eastern Lalu", + "yiu": "Awu", + "yiv": "Northern Nisu", + "yix": "Axi Yi", + "yiz": "Azhe", + "yka": "Yakan", + "ykg": "Northern Yukaghir", + "yki": "Yoke", + "ykk": "Yakaikeke", + "ykl": "Khlula", + "ykm": "Kap", + "ykn": "Kua-nsi", + "yko": "Yasa", + "ykr": "Yekora", + "ykt": "Kathu", + "yku": "Kuamasi", + "yky": "Yakoma", + "yla": "Yaul", + "ylb": "Yaleba", + "yle": "Yele", + "ylg": "Yelogu", + "yli": "Angguruk Yali", + "yll": "Yil", + "ylm": "Limi", + "yln": "Langnian Buyang", + "ylo": "Naluo Yi", + "ylr": "Yalarnnga", + "ylu": "Aribwaung", + "yly": "Nyâlayu; Nyelâyu", + "ymb": "Yambes", + "ymc": "Southern Muji", + "ymd": "Muda", + "yme": "Yameo", + "ymg": "Yamongeri", + "ymh": "Mili", + "ymi": "Moji", + "ymk": "Makwe", + "yml": "Iamalele", + "ymm": "Maay", + "ymn": "Yamna; Sunum", + "ymo": "Yangum Mon", + "ymp": "Yamap", + "ymq": "Qila Muji", + "ymr": "Malasar", + "yms": "Mysian", + "ymx": "Northern Muji", + "ymz": "Muzi", + "yna": "Aluo", + "ynd": "Yandruwandha", + "yne": "Lang'e", + "yng": "Yango", + "ynk": "Naukan Yupik", + "ynl": "Yangulam", + "ynn": "Yana", + "yno": "Yong", + "ynq": "Yendang", + "yns": "Yansi", + "ynu": "Yahuna", + "yo": "Yoruba", + "yob": "Yoba", + "yog": "Yogad", + "yoi": "Yonaguni", + "yok": "Yokuts", + "yol": "Yola", + "yom": "Yombe", + "yon": "Yongkom", + "yot": "Yotti", + "yox": "Yoron", + "yoy": "Yoy", + "ypa": "Phala", + "ypb": "Labo Phowa", + "ypg": "Phola", + "yph": "Phupha", + "ypk": "Yupik languages", + "ypm": "Phuma", + "ypn": "Ani Phowa", + "ypo": "Alo Phola", + "ypp": "Phupa", + "ypz": "Phuza", + "yra": "Yerakai", + "yrb": "Yareba", + "yre": "Yaouré", + "yrk": "Nenets", + "yrl": "Nhengatu", + "yrm": "Yirrk-Mel", + "yrn": "Yerong", + "yro": "Yaroamë", + "yrs": "Yarsun", + "yrw": "Yarawata", + "yry": "Yarluyandi", + "ysc": "Yassic", + "ysd": "Samatao", + "ysg": "Sonaga", + "ysl": "Yugoslavian Sign Language", + "ysm": "Myanmar Sign Language", + "ysn": "Sani", + "yso": "Nisi (China)", + "ysp": "Southern Lolopo", + "ysr": "Sirenik Yupik", + "yss": "Yessan-Mayo", + "ysy": "Sanie", + "yta": "Talu", + "ytl": "Tanglang", + "ytp": "Thopho", + "ytw": "Yout Wam", + "yty": "Yatay", + "yua": "Yucateco; Yucatec Maya", + "yub": "Yugambal", + "yuc": "Yuchi", + "yud": "Judeo-Tripolitanian Arabic", + "yue": "Yue Chinese; Cantonese", + "yuf": "Havasupai-Walapai-Yavapai", + "yug": "Yug", + "yui": "Yurutí", + "yuj": "Karkar-Yuri", + "yuk": "Yuki", + "yul": "Yulu", + "yum": "Quechan", + "yun": "Bena (Nigeria)", + "yup": "Yukpa", + "yuq": "Yuqui", + "yur": "Yurok", + "yut": "Yopno", + "yuw": "Yau (Morobe Province)", + "yux": "Southern Yukaghir", + "yuy": "East Yugur", + "yuz": "Yuracare", + "yva": "Yawa", + "yvt": "Yavitero", + "ywa": "Kalou", + "ywg": "Yinhawangka", + "ywl": "Western Lalu", + "ywn": "Yawanawa", + "ywq": "Wuding-Luquan Yi", + "ywr": "Yawuru", + "ywt": "Xishanba Lalo; Central Lalo", + "ywu": "Wumeng Nasu", + "yww": "Yawarawarga", + "yxa": "Mayawali", + "yxg": "Yagara", + "yxl": "Yardliyawarra", + "yxm": "Yinwum", + "yxu": "Yuyu", + "yxy": "Yabula Yabula", + "yyr": "Yir Yoront", + "yyu": "Yau (Sandaun Province)", + "yyz": "Ayizi", + "yzg": "E'ma Buyang", + "yzk": "Zokhuo", + "za": "Zhuang; Chuang", + "zaa": "Sierra de Juárez Zapotec", + "zab": "Western Tlacolula Valley Zapotec; San Juan Guelavía Zapotec", + "zac": "Ocotlán Zapotec", + "zad": "Cajonos Zapotec", + "zae": "Yareni Zapotec", + "zaf": "Ayoquesco Zapotec", + "zag": "Zaghawa", + "zah": "Zangwal", + "zai": "Isthmus Zapotec", + "zaj": "Zaramo", + "zak": "Zanaki", + "zal": "Zauzou", + "zam": "Miahuatlán Zapotec", + "zao": "Ozolotepec Zapotec", + "zap": "Zapotec", + "zaq": "Aloápam Zapotec", + "zar": "Rincón Zapotec", + "zas": "Santo Domingo Albarradas Zapotec", + "zat": "Tabaa Zapotec", + "zau": "Zangskari", + "zav": "Yatzachi Zapotec", + "zaw": "Mitla Zapotec", + "zax": "Xadani Zapotec", + "zay": "Zayse-Zergulla; Zaysete", + "zaz": "Zari", + "zba": "Balaibalan", + "zbc": "Central Berawan", + "zbe": "East Berawan", + "zbl": "Blissymbols; Bliss; Blissymbolics", + "zbt": "Batui", + "zbu": "Bu (Bauchi State)", + "zbw": "West Berawan", + "zca": "Coatecas Altas Zapotec", + "zcd": "Las Delicias Zapotec", + "zch": "Central Hongshuihe Zhuang", + "zdj": "Ngazidja Comorian", + "zea": "Zeeuws", + "zeg": "Zenag", + "zeh": "Eastern Hongshuihe Zhuang", + "zen": "Zenaga", + "zga": "Kinga", + "zgb": "Guibei Zhuang", + "zgh": "Standard Moroccan Tamazight", + "zgm": "Minz Zhuang", + "zgn": "Guibian Zhuang", + "zgr": "Magori", + "zh": "Chinese", + "zhb": "Zhaba", + "zhd": "Dai Zhuang", + "zhi": "Zhire", + "zhn": "Nong Zhuang", + "zhw": "Zhoa", + "zhx": "Chinese (family)", + "zia": "Zia", + "zib": "Zimbabwe Sign Language", + "zik": "Zimakani", + "zil": "Zialo", + "zim": "Mesme", + "zin": "Zinza", + "ziw": "Zigula", + "ziz": "Zizilivakan", + "zka": "Kaimbulawa", + "zkb": "Koibal", + "zkd": "Kadu", + "zkg": "Koguryo", + "zkh": "Khorezmian", + "zkk": "Karankawa", + "zkn": "Kanan", + "zko": "Kott", + "zkp": "São Paulo Kaingáng", + "zkr": "Zakhring", + "zkt": "Kitan", + "zku": "Kaurna", + "zkv": "Krevinian", + "zkz": "Khazar", + "zla": "Zula", + "zle": "East Slavic languages", + "zlj": "Liujiang Zhuang", + "zlm": "Malay (individual language)", + "zln": "Lianshan Zhuang", + "zlq": "Liuqian Zhuang", + "zls": "South Slavic languages", + "zlw": "West Slavic languages", + "zma": "Manda (Australia)", + "zmb": "Zimba", + "zmc": "Margany", + "zmd": "Maridan", + "zme": "Mangerr", + "zmf": "Mfinu", + "zmg": "Marti Ke", + "zmh": "Makolkol", + "zmi": "Negeri Sembilan Malay", + "zmj": "Maridjabin", + "zmk": "Mandandanyi", + "zml": "Matngala", + "zmm": "Marimanindji; Marramaninyshi", + "zmn": "Mbangwe", + "zmo": "Molo", + "zmp": "Mpuono", + "zmq": "Mituku", + "zmr": "Maranunggu", + "zms": "Mbesa", + "zmt": "Maringarr", + "zmu": "Muruwari", + "zmv": "Mbariman-Gudhinma", + "zmw": "Mbo (Democratic Republic of Congo)", + "zmx": "Bomitaba", + "zmy": "Mariyedi", + "zmz": "Mbandja", + "zna": "Zan Gula", + "znd": "Zande languages", + "zne": "Zande (individual language)", + "zng": "Mang", + "znk": "Manangkari", + "zns": "Mangas", + "zoc": "Copainalá Zoque", + "zoh": "Chimalapa Zoque", + "zom": "Zou", + "zoo": "Asunción Mixtepec Zapotec", + "zoq": "Tabasco Zoque", + "zor": "Rayón Zoque", + "zos": "Francisco León Zoque", + "zpa": "Lachiguiri Zapotec", + "zpb": "Yautepec Zapotec", + "zpc": "Choapan Zapotec", + "zpd": "Southeastern Ixtlán Zapotec", + "zpe": "Petapa Zapotec", + "zpf": "San Pedro Quiatoni Zapotec", + "zpg": "Guevea De Humboldt Zapotec", + "zph": "Totomachapan Zapotec", + "zpi": "Santa María Quiegolani Zapotec", + "zpj": "Quiavicuzas Zapotec", + "zpk": "Tlacolulita Zapotec", + "zpl": "Lachixío Zapotec", + "zpm": "Mixtepec Zapotec", + "zpn": "Santa Inés Yatzechi Zapotec", + "zpo": "Amatlán Zapotec", + "zpp": "El Alto Zapotec", + "zpq": "Zoogocho Zapotec", + "zpr": "Santiago Xanica Zapotec", + "zps": "Coatlán Zapotec", + "zpt": "San Vicente Coatlán Zapotec", + "zpu": "Yalálag Zapotec", + "zpv": "Chichicapan Zapotec", + "zpw": "Zaniza Zapotec", + "zpx": "San Baltazar Loxicha Zapotec", + "zpy": "Mazaltepec Zapotec", + "zpz": "Texmelucan Zapotec", + "zqe": "Qiubei Zhuang", + "zra": "Kara (Korea)", + "zrg": "Mirgan", + "zrn": "Zerenkel", + "zro": "Záparo", + "zrp": "Zarphatic", + "zrs": "Mairasi", + "zsa": "Sarasira", + "zsk": "Kaskean", + "zsl": "Zambian Sign Language", + "zsm": "Standard Malay", + "zsr": "Southern Rincon Zapotec", + "zsu": "Sukurum", + "zte": "Elotepec Zapotec", + "ztg": "Xanaguía Zapotec", + "ztl": "Lapaguía-Guivini Zapotec", + "ztm": "San Agustín Mixtepec Zapotec", + "ztn": "Santa Catarina Albarradas Zapotec", + "ztp": "Loxicha Zapotec", + "ztq": "Quioquitani-Quierí Zapotec", + "zts": "Tilquiapan Zapotec", + "ztt": "Tejalapan Zapotec", + "ztu": "Güilá Zapotec", + "ztx": "Zaachila Zapotec", + "zty": "Yatee Zapotec", + "zu": "Zulu", + "zua": "Zeem", + "zuh": "Tokano", + "zum": "Kumzari", + "zun": "Zuni", + "zuy": "Zumaya", + "zwa": "Zay", + "zyb": "Yongbei Zhuang", + "zyg": "Yang Zhuang", + "zyj": "Youjiang Zhuang", + "zyn": "Yongnan Zhuang", + "zyp": "Zyphe Chin", + "zza": "Zaza; Dimili; Dimli (macrolanguage); Kirdki; Kirmanjki (macrolanguage); Zazaki", + "zzj": "Zuojiang Zhuang" +} \ No newline at end of file diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/multilingualities.json b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/multilingualities.json new file mode 100644 index 0000000000000000000000000000000000000000..a35c79f03dfcf7c8a116b7fc8ee1b383ab5022fa --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/multilingualities.json @@ -0,0 +1,6 @@ +{ + "monolingual": "contains a single language", + "multilingual": "contains multiple languages", + "translation": "contains translated or aligned text", + "other": "other type of language distribution" +} diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/readme_structure.yaml b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/readme_structure.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5b781e11e8258a446874ebf96104f642d0c190cf --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/readme_structure.yaml @@ -0,0 +1,116 @@ +name: "" # Filename comes here +allow_empty: false +allow_empty_text: true +subsections: + - name: "Dataset Card for X" # First-level markdown heading + allow_empty: false + allow_empty_text: true + subsections: + - name: "Table of Contents" + allow_empty: false + allow_empty_text: false + subsections: null # meaning it should not be checked. + - name: "Dataset Description" + allow_empty: false + allow_empty_text: false + subsections: + - name: "Dataset Summary" + allow_empty: false + allow_empty_text: false + subsections: null + - name: "Supported Tasks and Leaderboards" + allow_empty: true + allow_empty_text: true + subsections: null + - name: Languages + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Dataset Structure" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Data Instances" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Data Fields" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Data Splits" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Dataset Creation" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Curation Rationale" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Source Data" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Initial Data Collection and Normalization" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Who are the source language producers?" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Annotations" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Annotation process" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Who are the annotators?" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Personal and Sensitive Information" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Considerations for Using the Data" + allow_empty: true + allow_empty_text: true + subsections: + - name: "Social Impact of Dataset" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Discussion of Biases" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Other Known Limitations" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Additional Information" + allow_empty: true + allow_empty_text: true + subsections: + - name: "Dataset Curators" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Licensing Information" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Citation Information" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Contributions" + allow_empty: false + allow_empty_text: false + subsections: null diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/size_categories.json b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/size_categories.json new file mode 100644 index 0000000000000000000000000000000000000000..983ce0c10dbb2e2245f90ae47e9de4c1025d5bb1 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/resources/size_categories.json @@ -0,0 +1,14 @@ +[ + "unknown", + "n<1K", + "1K1T" +] diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/tf_utils.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/tf_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b69f5c85b2c38bb47506a4b2fedb5a69e1d37c00 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/tf_utils.py @@ -0,0 +1,582 @@ +# Copyright 2022 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed 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. + +"""TF-specific utils import.""" + +import os +import warnings +from functools import partial +from math import ceil +from uuid import uuid4 + +import numpy as np +import pyarrow as pa +from multiprocess import get_context + + +try: + from multiprocess.shared_memory import SharedMemory +except ImportError: + SharedMemory = None # Version checks should prevent this being called on older Python versions + +from .. import config + + +def minimal_tf_collate_fn(features): + if isinstance(features, dict): # case batch_size=None: nothing to collate + return features + elif config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + first = features[0] + batch = {} + for k, v in first.items(): + if isinstance(v, np.ndarray): + batch[k] = np.stack([f[k] for f in features]) + elif isinstance(v, tf.Tensor): + batch[k] = tf.stack([f[k] for f in features]) + else: + batch[k] = np.array([f[k] for f in features]) + return batch + + +def minimal_tf_collate_fn_with_renaming(features): + batch = minimal_tf_collate_fn(features) + if "label" in batch: + batch["labels"] = batch["label"] + del batch["label"] + return batch + + +def is_numeric_pa_type(pa_type): + if pa.types.is_list(pa_type): + return is_numeric_pa_type(pa_type.value_type) + return pa.types.is_integer(pa_type) or pa.types.is_floating(pa_type) or pa.types.is_decimal(pa_type) + + +def is_numeric_feature(feature): + from .. import ClassLabel, Sequence, Value + from ..features.features import _ArrayXD + + if isinstance(feature, Sequence): + return is_numeric_feature(feature.feature) + elif isinstance(feature, list): + return is_numeric_feature(feature[0]) + elif isinstance(feature, _ArrayXD): + return is_numeric_pa_type(feature().storage_dtype) + elif isinstance(feature, Value): + return is_numeric_pa_type(feature()) + elif isinstance(feature, ClassLabel): + return True + else: + return False + + +def np_get_batch( + indices, dataset, cols_to_retain, collate_fn, collate_fn_args, columns_to_np_types, return_dict=False +): + if not isinstance(indices, np.ndarray): + indices = indices.numpy() + + is_batched = True + # Optimization - if we're loading a sequential batch, do it with slicing instead of a list of indices + if isinstance(indices, np.integer): + batch = dataset[indices.item()] + is_batched = False + elif np.all(np.diff(indices) == 1): + batch = dataset[indices[0] : indices[-1] + 1] + elif isinstance(indices, np.ndarray): + batch = dataset[indices] + else: + raise RuntimeError("Unexpected type for indices: {}".format(type(indices))) + + if cols_to_retain is not None: + batch = { + key: value + for key, value in batch.items() + if key in cols_to_retain or key in ("label", "label_ids", "labels") + } + + if is_batched: + actual_size = len(list(batch.values())[0]) # Get the length of one of the arrays, assume all same + # Our collators expect a list of dicts, not a dict of lists/arrays, so we invert + batch = [{key: value[i] for key, value in batch.items()} for i in range(actual_size)] + batch = collate_fn(batch, **collate_fn_args) + + if return_dict: + out_batch = {} + for col, cast_dtype in columns_to_np_types.items(): + # In case the collate_fn returns something strange + array = np.array(batch[col]) + array = array.astype(cast_dtype) + out_batch[col] = array + else: + out_batch = [] + for col, cast_dtype in columns_to_np_types.items(): + # In case the collate_fn returns something strange + array = np.array(batch[col]) + array = array.astype(cast_dtype) + out_batch.append(array) + return out_batch + + +def dataset_to_tf( + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + output_signature, + shuffle, + batch_size, + drop_remainder, +): + """Create a tf.data.Dataset from the underlying Dataset. This is a single-process method - the multiprocess + equivalent is multiprocess_dataset_to_tf. + + Args: + dataset (`Dataset`): Dataset to wrap with tf.data.Dataset. + cols_to_retain (`List[str]`): Dataset column(s) to load in the + tf.data.Dataset. It is acceptable to include column names that are created by the `collate_fn` and + that do not exist in the original dataset. + collate_fn(`Callable`): A function or callable object (such as a `DataCollator`) that will collate + lists of samples into a batch. + collate_fn_args (`Dict`): A `dict` of keyword arguments to be passed to the + `collate_fn`. Can be empty. + columns_to_np_types (`Dict[str, np.dtype]`): A `dict` mapping column names to numpy dtypes. + output_signature (`Dict[str, tf.TensorSpec]`): A `dict` mapping column names to + `tf.TensorSpec` objects. + shuffle(`bool`): Shuffle the dataset order when loading. Recommended True for training, False for + validation/evaluation. + batch_size (`int`, default `None`): Size of batches to load from the dataset. Defaults to `None`, which implies that + the dataset won't be batched, but the returned dataset can be batched later with `tf_dataset.batch(batch_size)`. + drop_remainder(`bool`, default `None`): Drop the last incomplete batch when loading. If not provided, + defaults to the same setting as shuffle. + + Returns: + `tf.data.Dataset` + """ + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + # TODO Matt: When our minimum Python version is 3.8 or higher, we can delete all of this and move everything + # to the NumPy multiprocessing path. + if hasattr(tf, "random_index_shuffle"): + random_index_shuffle = tf.random_index_shuffle + elif hasattr(tf.random.experimental, "index_shuffle"): + random_index_shuffle = tf.random.experimental.index_shuffle + else: + if len(dataset) > 10_000_000: + warnings.warn( + "to_tf_dataset() can be memory-inefficient on versions of TensorFlow older than 2.9. " + "If you are iterating over a dataset with a very large number of samples, consider " + "upgrading to TF >= 2.9." + ) + random_index_shuffle = None + + getter_fn = partial( + np_get_batch, + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + return_dict=False, + ) + + # This works because dictionaries always output in the same order + tout = [tf.dtypes.as_dtype(dtype) for dtype in columns_to_np_types.values()] + + @tf.function(input_signature=[tf.TensorSpec(None, tf.int64)]) + def fetch_function(indices): + output = tf.py_function( + getter_fn, + inp=[indices], + Tout=tout, + ) + return {key: output[i] for i, key in enumerate(columns_to_np_types.keys())} + + tf_dataset = tf.data.Dataset.range(len(dataset)) + + if shuffle and random_index_shuffle is not None: + base_seed = tf.fill((3,), value=tf.cast(-1, dtype=tf.int64)) + + def scan_random_index(state, index): + if tf.reduce_all(state == -1): + # This generates a new random seed once per epoch only, + # to ensure that we iterate over each sample exactly once per epoch + state = tf.random.uniform(shape=(3,), maxval=2**62, dtype=tf.int64) + shuffled_index = random_index_shuffle(index=index, seed=state, max_index=len(dataset) - 1) + return state, shuffled_index + + tf_dataset = tf_dataset.scan(base_seed, scan_random_index) + elif shuffle: + tf_dataset = tf_dataset.shuffle(tf_dataset.cardinality()) + + if batch_size is not None: + tf_dataset = tf_dataset.batch(batch_size, drop_remainder=drop_remainder) + + tf_dataset = tf_dataset.map(fetch_function) + + if batch_size is not None: + + def ensure_shapes(input_dict): + return {key: tf.ensure_shape(val, output_signature[key].shape) for key, val in input_dict.items()} + + else: + # Ensure shape but remove batch dimension of output_signature[key].shape + def ensure_shapes(input_dict): + return {key: tf.ensure_shape(val, output_signature[key].shape[1:]) for key, val in input_dict.items()} + + return tf_dataset.map(ensure_shapes) + + +class SharedMemoryContext: + # This is a context manager for creating shared memory that ensures cleanup happens even if a process is interrupted + # The process that creates shared memory is always the one responsible for unlinking it in the end + def __init__(self): + self.created_shms = [] + self.opened_shms = [] + + def get_shm(self, name, size, create): + shm = SharedMemory(size=int(size), name=name, create=create) + if create: + # We only unlink the ones we created in this context + self.created_shms.append(shm) + else: + # If we didn't create it, we only close it when done, we don't unlink it + self.opened_shms.append(shm) + return shm + + def get_array(self, name, shape, dtype, create): + shm = self.get_shm(name=name, size=np.prod(shape) * np.dtype(dtype).itemsize, create=create) + return np.ndarray(shape, dtype=dtype, buffer=shm.buf) + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + for shm in self.created_shms: + shm.close() + shm.unlink() + for shm in self.opened_shms: + shm.close() + + +class NumpyMultiprocessingGenerator: + def __init__( + self, + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + output_signature, + shuffle, + batch_size, + drop_remainder, + num_workers, + ): + self.dataset = dataset + self.cols_to_retain = cols_to_retain + self.collate_fn = collate_fn + self.collate_fn_args = collate_fn_args + self.string_columns = [col for col, dtype in columns_to_np_types.items() if dtype in (np.unicode_, np.str_)] + # Strings will be converted to arrays of single unicode chars, so that we can have a constant itemsize + self.columns_to_np_types = { + col: dtype if col not in self.string_columns else np.dtype("U1") + for col, dtype in columns_to_np_types.items() + } + self.output_signature = output_signature + self.shuffle = shuffle + self.batch_size = batch_size + self.drop_remainder = drop_remainder + self.num_workers = num_workers + # Because strings are converted to characters, we need to add one extra dimension to the shape + self.columns_to_ranks = { + col: int(spec.shape.rank) if col not in self.string_columns else int(spec.shape.rank) + 1 + for col, spec in output_signature.items() + } + + def __iter__(self): + # Make sure we only spawn workers if they have work to do + num_workers = min(self.num_workers, int(ceil(len(self.dataset) / self.batch_size))) + # Do the shuffling in iter so that it's done at the start of each epoch + per_worker_batches, final_batch, final_batch_worker = self.distribute_batches( + self.dataset, self.batch_size, self.drop_remainder, num_workers, self.shuffle + ) + ctx = get_context("spawn") + names = [] + shape_arrays = [] + workers = [] + array_ready_events = [ctx.Event() for _ in range(num_workers)] + array_loaded_events = [ctx.Event() for _ in range(num_workers)] + + base_args = { + "dataset": self.dataset, + "cols_to_retain": self.cols_to_retain, + "collate_fn": self.collate_fn, + "collate_fn_args": self.collate_fn_args, + "columns_to_np_types": self.columns_to_np_types, + "columns_to_ranks": self.columns_to_ranks, + "string_columns": self.string_columns, + } + with SharedMemoryContext() as shm_ctx: + for i in range(num_workers): + worker_random_id = str(uuid4()) + worker_name = f"dw_{i}_{worker_random_id}"[:10] + names.append(worker_name) + + worker_shape_arrays = { + col: shm_ctx.get_array(f"{worker_name}_{col}_shape", shape=(rank,), dtype=np.int64, create=True) + for col, rank in self.columns_to_ranks.items() + } + shape_arrays.append(worker_shape_arrays) + + worker_indices = per_worker_batches[i] + if i == final_batch_worker and final_batch is not None: + final_batch_arg = final_batch + else: + final_batch_arg = None + worker_kwargs = { + "worker_name": worker_name, + "indices": worker_indices, + "extra_batch": final_batch_arg, + "array_ready_event": array_ready_events[i], + "array_loaded_event": array_loaded_events[i], + **base_args, + } + worker = ctx.Process(target=self.worker_loop, kwargs=worker_kwargs, daemon=True) + worker.start() + workers.append(worker) + + end_signal_received = False + while not end_signal_received: + for i in range(num_workers): + if not array_ready_events[i].wait(timeout=60): + raise TimeoutError("Data loading worker timed out!") + array_ready_events[i].clear() + array_shapes = shape_arrays[i] + if any(np.any(shape < 0) for shape in array_shapes.values()): + # Child processes send negative array shapes to indicate + # that no more data is going to be sent + end_signal_received = True + break + # Matt: Because array shapes are variable we recreate the shared memory each iteration. + # I suspect repeatedly opening lots of shared memory is the bottleneck for the parent process. + # A future optimization, at the cost of some code complexity, could be to reuse shared memory + # between iterations, but this would require knowing in advance the maximum size, or having + # a system to only create a new memory block when a new maximum size is seen. + # Another potential optimization would be to figure out which memory copies are necessary, + # or whether we can yield objects straight out of shared memory. + with SharedMemoryContext() as batch_shm_ctx: + # This memory context only lasts long enough to copy everything out of the batch + arrays = { + col: batch_shm_ctx.get_array( + f"{names[i]}_{col}", + shape=shape, + dtype=self.columns_to_np_types[col], + create=False, + ) + for col, shape in array_shapes.items() + } + # Copy everything out of shm because the memory + # will be unlinked by the child process at some point + arrays = {col: np.copy(arr) for col, arr in arrays.items()} + # Now we convert any unicode char arrays to strings + for string_col in self.string_columns: + arrays[string_col] = ( + arrays[string_col].view(f"U{arrays[string_col].shape[-1]}").squeeze(-1) + ) + yield arrays + array_loaded_events[i].set() + # Now we just do some cleanup + # Shared memory is cleaned up by the context manager, so we just make sure workers finish + for worker in workers: + worker.join() + + def __call__(self): + return self + + @staticmethod + def worker_loop( + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + columns_to_ranks, + string_columns, + indices, + extra_batch, + worker_name, + array_ready_event, + array_loaded_event, + ): + os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" + + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + tf.config.set_visible_devices([], "GPU") # Make sure workers don't try to allocate GPU memory + + def send_batch_to_parent(indices): + batch = np_get_batch( + indices=indices, + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + return_dict=True, + ) + + # Now begins the fun part where we start shovelling shared memory at the parent process + out_arrays = {} + with SharedMemoryContext() as batch_shm_ctx: + # The batch shared memory context exists only as long as it takes for the parent process + # to read everything, after which it cleans everything up again + for col, cast_dtype in columns_to_np_types.items(): + # Everything has to be np.array for this to work, even if the collate_fn is giving us tf.Tensor + array = batch[col] + if col in string_columns: + # We can't send unicode arrays over shared memory, so we convert to single chars ("U1") + # which have a fixed width of 4 bytes. The parent process will convert these back to strings. + array = array.view("U1").reshape(array.shape + (-1,)) + shape_arrays[col][:] = array.shape + out_arrays[col] = batch_shm_ctx.get_array( + f"{worker_name}_{col}", shape=array.shape, dtype=cast_dtype, create=True + ) + out_arrays[col][:] = array + + array_ready_event.set() + array_loaded_event.wait() + array_loaded_event.clear() + + with SharedMemoryContext() as shm_ctx: + shape_arrays = { + col: shm_ctx.get_array(f"{worker_name}_{col}_shape", shape=(rank,), dtype=np.int64, create=False) + for col, rank in columns_to_ranks.items() + } + + for batch in indices: + send_batch_to_parent(batch) + if extra_batch is not None: + send_batch_to_parent(extra_batch) + # Now we send a batsignal to the parent process that we're done + for col, array in shape_arrays.items(): + array[:] = -1 + array_ready_event.set() + + @staticmethod + def distribute_batches(dataset, batch_size, drop_remainder, num_workers, shuffle): + indices = np.arange(len(dataset)) + if shuffle: + np.random.shuffle(indices) + num_samples = len(indices) + # We distribute the batches so that reading from the workers in round-robin order yields the exact + # order specified in indices. This is only important when shuffle is False, but we do it regardless. + incomplete_batch_cutoff = num_samples - (num_samples % batch_size) + indices, last_incomplete_batch = np.split(indices, [incomplete_batch_cutoff]) + if drop_remainder or len(last_incomplete_batch) == 0: + last_incomplete_batch = None + + indices = indices.reshape(-1, batch_size) + num_batches = len(indices) + final_batches_cutoff = num_batches - (num_batches % num_workers) + indices, final_batches = np.split(indices, [final_batches_cutoff]) + indices = indices.reshape(-1, num_workers, batch_size) + + per_worker_indices = np.split(indices, indices.shape[1], axis=1) + per_worker_indices = [np.squeeze(worker_indices, 1) for worker_indices in per_worker_indices] + # Distribute the final batches to the first workers + for i in range(len(final_batches)): + # len(final_batches) can be zero, and is always less than num_workers + per_worker_indices[i] = np.concatenate([per_worker_indices[i], final_batches[i].reshape(1, -1)], axis=0) + # Add the last incomplete batch to the next worker, which might be the first worker + if last_incomplete_batch is not None: + incomplete_batch_worker_idx = len(final_batches) + else: + incomplete_batch_worker_idx = None + return per_worker_indices, last_incomplete_batch, incomplete_batch_worker_idx + + +def multiprocess_dataset_to_tf( + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + output_signature, + shuffle, + batch_size, + drop_remainder, + num_workers, +): + """Create a tf.data.Dataset from the underlying Dataset. This is a multi-process method - the single-process + equivalent is dataset_to_tf. + + Args: + dataset (`Dataset`): Dataset to wrap with tf.data.Dataset. + cols_to_retain (`List[str]`): Dataset column(s) to load in the + tf.data.Dataset. It is acceptable to include column names that are created by the `collate_fn` and + that do not exist in the original dataset. + collate_fn(`Callable`): A function or callable object (such as a `DataCollator`) that will collate + lists of samples into a batch. + collate_fn_args (`Dict`): A `dict` of keyword arguments to be passed to the + `collate_fn`. Can be empty. + columns_to_np_types (`Dict[str, np.dtype]`): A `dict` mapping column names to numpy dtypes. + output_signature (`Dict[str, tf.TensorSpec]`): A `dict` mapping column names to + `tf.TensorSpec` objects. + shuffle(`bool`): Shuffle the dataset order when loading. Recommended True for training, False for + validation/evaluation. + batch_size (`int`, default `None`): Size of batches to load from the dataset. Defaults to `None`, which implies that + the dataset won't be batched, but the returned dataset can be batched later with `tf_dataset.batch(batch_size)`. + drop_remainder(`bool`, default `None`): Drop the last incomplete batch when loading. If not provided, + defaults to the same setting as shuffle. + num_workers (`int`): Number of workers to use for loading the dataset. Should be >= 1. + + Returns: + `tf.data.Dataset` + """ + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + data_generator = NumpyMultiprocessingGenerator( + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + output_signature=output_signature, + shuffle=shuffle, + batch_size=batch_size, + drop_remainder=drop_remainder, + num_workers=num_workers, + ) + + tf_dataset = tf.data.Dataset.from_generator(data_generator, output_signature=output_signature) + if drop_remainder: + dataset_length = int(len(dataset) // batch_size) + else: + dataset_length = int(ceil(len(dataset) / batch_size)) + return tf_dataset.apply(tf.data.experimental.assert_cardinality(dataset_length)) diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/tqdm.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/tqdm.py new file mode 100644 index 0000000000000000000000000000000000000000..e28a8ff7ccfda7d4fd9a6195636d181f285ceb65 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/tqdm.py @@ -0,0 +1,131 @@ +"""Utility helpers to handle progress bars in `datasets`. + +Example: + 1. Use `datasets.utils.tqdm` as you would use `tqdm.tqdm` or `tqdm.auto.tqdm`. + 2. To disable progress bars, either use `disable_progress_bars()` helper or set the + environment variable `HF_DATASETS_DISABLE_PROGRESS_BARS` to 1. + 3. To re-enable progress bars, use `enable_progress_bars()`. + 4. To check whether progress bars are disabled, use `are_progress_bars_disabled()`. + +NOTE: Environment variable `HF_DATASETS_DISABLE_PROGRESS_BARS` has the priority. + +Example: + ```py + from datasets.utils import ( + are_progress_bars_disabled, + disable_progress_bars, + enable_progress_bars, + tqdm, + ) + + # Disable progress bars globally + disable_progress_bars() + + # Use as normal `tqdm` + for _ in tqdm(range(5)): + do_something() + + # Still not showing progress bars, as `disable=False` is overwritten to `True`. + for _ in tqdm(range(5), disable=False): + do_something() + + are_progress_bars_disabled() # True + + # Re-enable progress bars globally + enable_progress_bars() + + # Progress bar will be shown ! + for _ in tqdm(range(5)): + do_something() + ``` +""" + +import warnings + +from tqdm.auto import tqdm as old_tqdm + +from ..config import HF_DATASETS_DISABLE_PROGRESS_BARS + + +# `HF_DATASETS_DISABLE_PROGRESS_BARS` is `Optional[bool]` while `_hf_datasets_progress_bars_disabled` +# is a `bool`. If `HF_DATASETS_DISABLE_PROGRESS_BARS` is set to True or False, it has priority. +# If `HF_DATASETS_DISABLE_PROGRESS_BARS` is None, it means the user have not set the +# environment variable and is free to enable/disable progress bars programmatically. +# TL;DR: env variable has priority over code. +# +# By default, progress bars are enabled. +_hf_datasets_progress_bars_disabled: bool = HF_DATASETS_DISABLE_PROGRESS_BARS or False + + +def disable_progress_bars() -> None: + """ + Disable globally progress bars used in `datasets` except if `HF_DATASETS_DISABLE_PROGRESS_BAR` environment + variable has been set. + + Use [`~utils.enable_progress_bars`] to re-enable them. + """ + if HF_DATASETS_DISABLE_PROGRESS_BARS is False: + warnings.warn( + "Cannot disable progress bars: environment variable `HF_DATASETS_DISABLE_PROGRESS_BAR=0` is set and has" + " priority." + ) + return + global _hf_datasets_progress_bars_disabled + _hf_datasets_progress_bars_disabled = True + + +def enable_progress_bars() -> None: + """ + Enable globally progress bars used in `datasets` except if `HF_DATASETS_DISABLE_PROGRESS_BAR` environment + variable has been set. + + Use [`~utils.disable_progress_bars`] to disable them. + """ + if HF_DATASETS_DISABLE_PROGRESS_BARS is True: + warnings.warn( + "Cannot enable progress bars: environment variable `HF_DATASETS_DISABLE_PROGRESS_BAR=1` is set and has" + " priority." + ) + return + global _hf_datasets_progress_bars_disabled + _hf_datasets_progress_bars_disabled = False + + +def are_progress_bars_disabled() -> bool: + """Return whether progress bars are globally disabled or not. + + Progress bars used in `datasets` can be enable or disabled globally using [`~utils.enable_progress_bars`] + and [`~utils.disable_progress_bars`] or by setting `HF_DATASETS_DISABLE_PROGRESS_BAR` as environment variable. + """ + global _hf_datasets_progress_bars_disabled + return _hf_datasets_progress_bars_disabled + + +class tqdm(old_tqdm): + """ + Class to override `disable` argument in case progress bars are globally disabled. + + Taken from https://github.com/tqdm/tqdm/issues/619#issuecomment-619639324. + """ + + def __init__(self, *args, **kwargs): + if are_progress_bars_disabled(): + kwargs["disable"] = True + super().__init__(*args, **kwargs) + + def __delattr__(self, attr: str) -> None: + """Fix for https://github.com/huggingface/datasets/issues/6066""" + try: + super().__delattr__(attr) + except AttributeError: + if attr != "_lock": + raise + + +# backward compatibility +enable_progress_bar = enable_progress_bars +disable_progress_bar = disable_progress_bars + + +def is_progress_bar_enabled(): + return not are_progress_bars_disabled() diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/typing.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/typing.py new file mode 100644 index 0000000000000000000000000000000000000000..7ad087fc98d2a6de2d3e493120135fc9ea49e605 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/typing.py @@ -0,0 +1,9 @@ +import os +from typing import Dict, List, Tuple, TypeVar, Union + + +T = TypeVar("T") + +ListLike = Union[List[T], Tuple[T, ...]] +NestedDataStructureLike = Union[T, List[T], Dict[str, T]] +PathLike = Union[str, bytes, os.PathLike] diff --git a/env-llmeval/lib/python3.10/site-packages/datasets/utils/version.py b/env-llmeval/lib/python3.10/site-packages/datasets/utils/version.py new file mode 100644 index 0000000000000000000000000000000000000000..75cf4c39d5f9b916ade8f8d88a0f0ca9e5769217 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/datasets/utils/version.py @@ -0,0 +1,106 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed 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. + +# Lint as: python3 +"""Version utils.""" + +import dataclasses +import re +from dataclasses import dataclass +from functools import total_ordering +from typing import Optional, Union + + +_VERSION_REG = re.compile(r"^(?P\d+)" r"\.(?P\d+)" r"\.(?P\d+)$") + + +@total_ordering +@dataclass +class Version: + """Dataset version `MAJOR.MINOR.PATCH`. + + Args: + version_str (`str`): + The dataset version. + description (`str`): + A description of what is new in this version. + major (`str`): + minor (`str`): + patch (`str`): + + Example: + + ```py + >>> VERSION = datasets.Version("1.0.0") + ``` + """ + + version_str: str + description: Optional[str] = None + major: Optional[Union[str, int]] = None + minor: Optional[Union[str, int]] = None + patch: Optional[Union[str, int]] = None + + def __post_init__(self): + self.major, self.minor, self.patch = _str_to_version_tuple(self.version_str) + + def __repr__(self): + return f"{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}" + + @property + def tuple(self): + return self.major, self.minor, self.patch + + def _validate_operand(self, other): + if isinstance(other, str): + return Version(other) + elif isinstance(other, Version): + return other + raise TypeError(f"{other} (type {type(other)}) cannot be compared to version.") + + def __eq__(self, other): + try: + other = self._validate_operand(other) + except (TypeError, ValueError): + return False + else: + return self.tuple == other.tuple + + def __lt__(self, other): + other = self._validate_operand(other) + return self.tuple < other.tuple + + def __hash__(self): + return hash(_version_tuple_to_str(self.tuple)) + + @classmethod + def from_dict(cls, dic): + field_names = {f.name for f in dataclasses.fields(cls)} + return cls(**{k: v for k, v in dic.items() if k in field_names}) + + def _to_yaml_string(self) -> str: + return self.version_str + + +def _str_to_version_tuple(version_str): + """Return the tuple (major, minor, patch) version extracted from the str.""" + res = _VERSION_REG.match(version_str) + if not res: + raise ValueError(f"Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits.") + return tuple(int(v) for v in [res.group("major"), res.group("minor"), res.group("patch")]) + + +def _version_tuple_to_str(version_tuple): + """Return the str version from the version tuple (major, minor, patch).""" + return ".".join(str(v) for v in version_tuple) diff --git a/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/INSTALLER b/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/LICENSE b/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..cdfa749dc34df3ff6664acd10a9b2e106ef19599 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/LICENSE @@ -0,0 +1,31 @@ +BSD 3-Clause License + +Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team +All rights reserved. + +Copyright (c) 2011-2023, Open source contributors. + +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 holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. 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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. +Classifier: Development Status :: 5 - Production/Stable +Classifier: Environment :: Console +Classifier: Intended Audience :: Science/Research +Classifier: License :: OSI Approved :: BSD License +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Cython +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Topic :: Scientific/Engineering +Project-URL: Homepage, https://pandas.pydata.org +Project-URL: Documentation, https://pandas.pydata.org/docs/ +Project-URL: Repository, https://github.com/pandas-dev/pandas +Requires-Python: >=3.9 +Requires-Dist: numpy>=1.22.4; 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+
+
+ +----------------- + +# pandas: powerful Python data analysis toolkit + +| | | +| --- | --- | +| Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) | +| Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) | +| Meta | [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134) [![License - BSD 3-Clause](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [![Slack](https://img.shields.io/badge/join_Slack-information-brightgreen.svg?logo=slack)](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) | + + +## What is it? + +**pandas** is a Python package that provides fast, flexible, and expressive data +structures designed to make working with "relational" or "labeled" data both +easy and intuitive. It aims to be the fundamental high-level building block for +doing practical, **real world** data analysis in Python. Additionally, it has +the broader goal of becoming **the most powerful and flexible open source data +analysis / manipulation tool available in any language**. It is already well on +its way towards this goal. + +## Table of Contents + +- [Main Features](#main-features) +- [Where to get it](#where-to-get-it) +- [Dependencies](#dependencies) +- [Installation from sources](#installation-from-sources) +- [License](#license) +- [Documentation](#documentation) +- [Background](#background) +- [Getting Help](#getting-help) +- [Discussion and Development](#discussion-and-development) +- [Contributing to pandas](#contributing-to-pandas) + +## Main Features +Here are just a few of the things that pandas does well: + + - Easy handling of [**missing data**][missing-data] (represented as + `NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data + - Size mutability: columns can be [**inserted and + deleted**][insertion-deletion] from DataFrame and higher dimensional + objects + - Automatic and explicit [**data alignment**][alignment]: objects can + be explicitly aligned to a set of labels, or the user can simply + ignore the labels and let `Series`, `DataFrame`, etc. automatically + align the data for you in computations + - Powerful, flexible [**group by**][groupby] functionality to perform + split-apply-combine operations on data sets, for both aggregating + and transforming data + - Make it [**easy to convert**][conversion] ragged, + differently-indexed data in other Python and NumPy data structures + into DataFrame objects + - Intelligent label-based [**slicing**][slicing], [**fancy + indexing**][fancy-indexing], and [**subsetting**][subsetting] of + large data sets + - Intuitive [**merging**][merging] and [**joining**][joining] data + sets + - Flexible [**reshaping**][reshape] and [**pivoting**][pivot-table] of + data sets + - [**Hierarchical**][mi] labeling of axes (possible to have multiple + labels per tick) + - Robust IO tools for loading data from [**flat files**][flat-files] + (CSV and delimited), [**Excel files**][excel], [**databases**][db], + and saving/loading data from the ultrafast [**HDF5 format**][hdfstore] + - [**Time series**][timeseries]-specific functionality: date range + generation and frequency conversion, moving window statistics, + date shifting and lagging + + + [missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html + [insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion + [alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures + [groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine + [conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe + [slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges + [fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced + [subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing + [merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging + [joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index + [reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html + [pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html + [mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex + [flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files + [excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files + [db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries + [hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables + [timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality + +## Where to get it +The source code is currently hosted on GitHub at: +https://github.com/pandas-dev/pandas + +Binary installers for the latest released version are available at the [Python +Package Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://docs.conda.io/en/latest/). + +```sh +# conda +conda install -c conda-forge pandas +``` + +```sh +# or PyPI +pip install pandas +``` + +The list of changes to pandas between each release can be found +[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full +details, see the commit logs at https://github.com/pandas-dev/pandas. + +## Dependencies +- [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org) +- [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html) +- [pytz - Brings the Olson tz database into Python which allows accurate and cross platform timezone calculations](https://github.com/stub42/pytz) + +See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies. + +## Installation from sources +To install pandas from source you need [Cython](https://cython.org/) in addition to the normal +dependencies above. Cython can be installed from PyPI: + +```sh +pip install cython +``` + +In the `pandas` directory (same one where you found this file after +cloning the git repo), execute: + +```sh +pip install . +``` + +or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable): + + +```sh +python -m pip install -ve . --no-build-isolation --config-settings=editable-verbose=true +``` + +See the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html). + +## License +[BSD 3](LICENSE) + +## Documentation +The official documentation is hosted on [PyData.org](https://pandas.pydata.org/pandas-docs/stable/). + +## Background +Work on ``pandas`` started at [AQR](https://www.aqr.com/) (a quantitative hedge fund) in 2008 and +has been under active development since then. + +## Getting Help + +For usage questions, the best place to go to is [StackOverflow](https://stackoverflow.com/questions/tagged/pandas). +Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata). + +## Discussion and Development +Most development discussions take place on GitHub in this repo, via the [GitHub issue tracker](https://github.com/pandas-dev/pandas/issues). + +Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Slack channel](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) is available for quick development related questions. + +There are also frequent [community meetings](https://pandas.pydata.org/docs/dev/development/community.html#community-meeting) for project maintainers open to the community as well as monthly [new contributor meetings](https://pandas.pydata.org/docs/dev/development/community.html#new-contributor-meeting) to help support new contributors. + +Additional information on the communication channels can be found on the [contributor community](https://pandas.pydata.org/docs/development/community.html) page. + +## Contributing to pandas + +[![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas) + +All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. + +A detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**. + +If you are simply looking to start working with the pandas codebase, navigate to the [GitHub "issues" tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?labels=Docs&sort=updated&state=open) and [good first issue](https://github.com/pandas-dev/pandas/issues?labels=good+first+issue&sort=updated&state=open) where you could start out. + +You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to [subscribe to pandas on CodeTriage](https://www.codetriage.com/pandas-dev/pandas). + +Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’...you can do something about it! + +Feel free to ask questions on the [mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata) or on [Slack](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack). + +As contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: [Contributor Code of Conduct](https://github.com/pandas-dev/.github/blob/master/CODE_OF_CONDUCT.md) + +
+ +[Go to Top](#table-of-contents) diff --git a/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/RECORD b/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..538b730c318ea0c30530a951cc32423a1f67b16e --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/pandas-2.2.2.dist-info/RECORD @@ -0,0 +1,2921 @@ +pandas-2.2.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +pandas-2.2.2.dist-info/LICENSE,sha256=Uz620LmOW-Pd0S3Ol7413REoL1xHzfjQjIF1b9XXCiY,1634 +pandas-2.2.2.dist-info/METADATA,sha256=uzJVWet-fLCsMzot3rebmY54cGJpc7h9Az699KzQjuc,19383 +pandas-2.2.2.dist-info/RECORD,, +pandas-2.2.2.dist-info/WHEEL,sha256=sZM_NeUMz2G4fDenMf11eikcCxcLaQWiYRmjwQBavQs,137 +pandas-2.2.2.dist-info/entry_points.txt,sha256=OVLKNEPs-Q7IWypWBL6fxv56_zt4sRnEI7zawo6y_0w,69 +pandas/__init__.py,sha256=EIvoyjrhoqXHZe5vh-iGfYfC-1qJEH5sLTpqzJZhK3s,8658 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0000000000000000000000000000000000000000..e466b0dfda14f3a7c8ece512937eb99c8b7b6d68 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/pybind11-2.12.0.dist-info/LICENSE @@ -0,0 +1,29 @@ +Copyright (c) 2016 Wenzel Jakob , All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. 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. + +3. Neither the name of the copyright holder nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. 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. + +Please also refer to the file .github/CONTRIBUTING.md, which clarifies licensing of +external contributions to this project including patches, pull requests, etc.