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evocodebench_data_201 | # @Author : Shichao Song
# @Email : song.shichao@outlook.com
import json
import os
import random
from uhgeval.dataset.base import BaseDataset
class XinhuaHallucinations(BaseDataset):
def __init__(self, path: str, shuffle: bool = False, seed: int = 22):
self.data = []
if os.path.isfile(path):
... |
evocodebench_data_202 | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
from mmdet.models.builder import BACKBONES as MMDET_BACKBONES
from mmdet.models.builder import DETECTORS as MMDET_DETECTORS
from mmdet.models.builder import HEADS as MMDET_HEADS
f... |
evocodebench_data_203 | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
from mmdet.models.builder import BACKBONES as MMDET_BACKBONES
from mmdet.models.builder import DETECTORS as MMDET_DETECTORS
from mmdet.models.builder import HEADS as MMDET_HEADS
f... |
evocodebench_data_204 | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
from mmdet.models.builder import BACKBONES as MMDET_BACKBONES
from mmdet.models.builder import DETECTORS as MMDET_DETECTORS
from mmdet.models.builder import HEADS as MMDET_HEADS
f... |
evocodebench_data_205 | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
from mmdet.models.builder import BACKBONES as MMDET_BACKBONES
from mmdet.models.builder import DETECTORS as MMDET_DETECTORS
from mmdet.models.builder import HEADS as MMDET_HEADS
f... |
evocodebench_data_206 | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
from mmdet.models.builder import BACKBONES as MMDET_BACKBONES
from mmdet.models.builder import DETECTORS as MMDET_DETECTORS
from mmdet.models.builder import HEADS as MMDET_HEADS
f... |
evocodebench_data_207 | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.utils import print_log
from terminaltables import AsciiTable
def average_precision(recalls, precisions, mode='area'):
"""Calculate average precision (for single or multiple scales).
Args:
recalls (np.ndarray): R... |
evocodebench_data_208 | # Copyright (c) OpenMMLab. All rights reserved.
from logging import warning
import numpy as np
import torch
from mmdet3d.core.utils import array_converter
@array_converter(apply_to=('val', ))
def limit_period(val, offset=0.5, period=np.pi):
"""Limit the value into a period for periodic function.
Args:
... |
evocodebench_data_209 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_210 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_211 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_212 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_213 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_214 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_215 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_216 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_217 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_218 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_219 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_220 | import io
import random
import re
import subprocess
import tempfile
import tokenize
from collections import defaultdict
from dataclasses import dataclass, field
from enum import StrEnum
from pathlib import Path
from typing import ClassVar, Optional, TypeAlias
ROOT_DIR = Path(__file__).parent.parent
class Level(StrEn... |
evocodebench_data_221 | import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequence, Mapping, Literal
import sys
if sys.version_in... |
evocodebench_data_222 | import contextlib
import packaging.version
from functorch.compile import (aot_function, aot_module)
import torch
@contextlib.contextmanager
def no_fake_tensor():
if packaging.version.parse(
torch.__version__) >= packaging.version.parse("2.0.0"):
from torch._functorch import config
use... |
evocodebench_data_223 | import logging
import os
import uuid
from copy import deepcopy
from typing import Optional, Dict, List
import pandas as pd
import uvicorn
import yaml
from fastapi import FastAPI
from pydantic import BaseModel
from autorag.support import get_support_modules
from autorag.utils.util import load_summary_file
logger = lo... |
evocodebench_data_224 | import logging
import inspect
import functools
import threading
import torch
from sfast.utils import flat_tensors
from sfast.utils.copy import tree_copy
from sfast.hooks.module_jit_hook import (apply_to_all_modules, apply_to_module)
from .utils import better_trace
logger = logging.getLogger()
def trace_with_kwargs(f... |
evocodebench_data_225 | import logging
import os
import uuid
from copy import deepcopy
from typing import Optional, Dict, List
import pandas as pd
import uvicorn
import yaml
from fastapi import FastAPI
from pydantic import BaseModel
from autorag.support import get_support_modules
from autorag.utils.util import load_summary_file
logger = lo... |
evocodebench_data_226 | import logging
import os
import pathlib
from typing import List, Callable, Dict, Tuple
import pandas as pd
from autorag.evaluate import evaluate_retrieval
from autorag.strategy import measure_speed, filter_by_threshold, select_best_average
from autorag.utils.util import load_summary_file
logger = logging.getLogger("... |
evocodebench_data_227 | import logging
import os
import pathlib
from typing import List, Callable, Dict, Optional
from copy import deepcopy
import pandas as pd
from autorag.nodes.retrieval.run import evaluate_retrieval_node
from autorag.strategy import measure_speed, filter_by_threshold, select_best_average
from autorag.utils.util import ma... |
evocodebench_data_228 | import os
import pathlib
from copy import deepcopy
from typing import List, Callable, Dict, Optional, Union
import pandas as pd
from autorag.evaluate import evaluate_generation
from autorag.evaluate.util import cast_metrics
from autorag.strategy import measure_speed, filter_by_threshold, select_best_average
from auto... |
evocodebench_data_229 | import itertools
import logging
from copy import deepcopy
from dataclasses import dataclass, field
from typing import Dict, List, Callable, Tuple
import pandas as pd
from autorag.schema.module import Module
from autorag.support import get_support_nodes
from autorag.utils.util import make_combinations, explode
logger... |
evocodebench_data_230 | import functools
import os
from typing import List, Optional
import evaluate
import sacrebleu
from llama_index.core.embeddings import BaseEmbedding
from openai import OpenAI
from autorag import embedding_models
from autorag.evaluate.metric.util import calculate_cosine_similarity
def generation_metric(func):
@fu... |
evocodebench_data_231 | from __future__ import annotations
import logging
import os
import torch
from modules import (
devices,
errors,
face_restoration,
face_restoration_utils,
modelloader,
shared,
)
logger = logging.getLogger(__name__)
model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFP... |
evocodebench_data_232 | from __future__ import annotations
import logging
import torch
from modules import (
devices,
errors,
face_restoration,
face_restoration_utils,
modelloader,
shared,
)
logger = logging.getLogger(__name__)
model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.p... |
evocodebench_data_233 | from __future__ import annotations
import logging
import os
import torch
from modules import (
devices,
errors,
face_restoration,
face_restoration_utils,
modelloader,
shared,
)
logger = logging.getLogger(__name__)
model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFP... |
evocodebench_data_234 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_235 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_236 | import tqdm
import tiktoken
import numpy as np
from scipy.special import logsumexp
import math
from functools import partial, reduce
from operator import or_ as union
from typing import Literal, Optional
from concurrent.futures import ThreadPoolExecutor
from openlogprobs.models import Model
from openlogprobs.utils im... |
evocodebench_data_237 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_238 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_239 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_240 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_241 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_242 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_243 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_244 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_245 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_246 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_247 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_248 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_249 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_250 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_251 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_252 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_253 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_254 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_255 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_256 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_257 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_258 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_259 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_260 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_261 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_262 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_263 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_264 | # coding=utf-8
# Copyright 2023 The Google Research 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 applicab... |
evocodebench_data_265 | import logging
import re
from collections import Counter
from collections import defaultdict
from . import formatter
from . import line_parser
from . import patterns
from nlm_ingestor.ingestor_utils import spell_utils
from nlm_ingestor.ingestor_utils.utils import sent_tokenize
logger = logging.getLogger(__name__)
log... |
evocodebench_data_266 | import json
import re
import numpy as np
from nltk import load
from nltk import PunktSentenceTokenizer
nltk_abbs = load("tokenizers/punkt/{}.pickle".format("english"))._params.abbrev_types
class NpEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, np.integer):
return int(... |
evocodebench_data_267 | """Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
import json
from collections import Counter
import warnings
i... |
evocodebench_data_268 | """Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse_min_should_match(num_clauses: int, spec: str) -> int... |
evocodebench_data_269 | """Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
import json
from collections import Counter
import warnings
i... |
evocodebench_data_270 | """Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
import json
from collections import Counter
import warnings
i... |
evocodebench_data_271 | import threading
from deluder.common import *
from deluder.interceptor import MessageInterceptor
from deluder.interceptors.proxifier.strategy import *
from deluder.interceptors.proxifier.connection import DEFAULT_CONNECTION_ID, Connection
from deluder.interceptors.proxifier.server import Server
class ProxifierMess... |
evocodebench_data_272 | """Naive popcount implementation until such time that's exposed in numpy (SOON!)."""
import numpy as np
m1 = np.uint64(0x5555555555555555)
m2 = np.uint64(0x3333333333333333)
m3 = np.uint64(0x0F0F0F0F0F0F0F0F)
m4 = np.uint64(0x0101010101010101)
mask = np.uint64(-1)
s55 = np.uint64(m1 & mask) # Add more digits for 1... |
evocodebench_data_273 | """Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse_min_should_match(num_clauses: int, spec: str) -> int... |
evocodebench_data_274 | import threading
from deluder.common import *
from deluder.interceptor import MessageInterceptor
from deluder.interceptors.proxifier.strategy import *
from deluder.interceptors.proxifier.connection import DEFAULT_CONNECTION_ID, Connection
from deluder.interceptors.proxifier.server import Server
class ProxifierMess... |
evocodebench_data_275 | import threading
from deluder.common import *
from deluder.interceptor import MessageInterceptor
from deluder.interceptors.proxifier.strategy import *
from deluder.interceptors.proxifier.connection import DEFAULT_CONNECTION_ID, Connection
from deluder.interceptors.proxifier.server import Server
class ProxifierMess... |
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