id stringlengths 19 21 | content stringlengths 722 86.7k |
|---|---|
evocodebench_data_101 | import logging
from typing import List, Optional, Any
from agents.agent_lifecycle import AgentLifecycle
from agents.agent_similarity import AgentSimilarity
from agents.agent_persistence_manager import AgentPersistenceManager
from integrations.openaiwrapper import OpenAIAPIWrapper
logger= logging.getLogger()
class ... |
evocodebench_data_102 | import logging
from typing import List
from agents.microagent import MicroAgent
from integrations.openaiwrapper import OpenAIAPIWrapper
from agents.agent_similarity import AgentSimilarity
from agents.agent_persistence_manager import AgentPersistenceManager
from numpy import ndarray
from prompt_management.prompts import... |
evocodebench_data_103 | import sqlite3
import json
from integrations.agent_persistence import AbstractAgentPersistence
class SQLiteAgentPersistence(AbstractAgentPersistence):
def __init__(self, filename="agents.db"):
self.filename = filename
self._initialize_database()
def _initialize_database(self):
"""
... |
evocodebench_data_104 | import sqlite3
import json
from integrations.agent_persistence import AbstractAgentPersistence
class SQLiteAgentPersistence(AbstractAgentPersistence):
def __init__(self, filename="agents.db"):
self.filename = filename
self._initialize_database()
def _initialize_database(self):
"""
... |
evocodebench_data_105 | import sqlite3
import json
from integrations.agent_persistence import AbstractAgentPersistence
class SQLiteAgentPersistence(AbstractAgentPersistence):
def __init__(self, filename="agents.db"):
self.filename = filename
self._initialize_database()
def _initialize_database(self):
"""
... |
evocodebench_data_106 | import sqlite3
import hashlib
import json
import functools
## Originally from https://www.kevinkatz.io/posts/memoize-to-sqlite
def memoize_to_sqlite(func_name: str, filename: str = "cache.db"):
"""
Memoization decorator that caches the output of a method in a SQLite
database.
"""
def decorator(fun... |
evocodebench_data_107 | import sqlite3
import hashlib
import json
import functools
## Originally from https://www.kevinkatz.io/posts/memoize-to-sqlite
def memoize_to_sqlite(func_name: str, filename: str = "cache.db"):
"""
Memoization decorator that caches the output of a method in a SQLite
database.
"""
def decorator(fun... |
evocodebench_data_108 | import os
from contextlib import redirect_stdout
import argparse
from copy import deepcopy
from XAgent.config import CONFIG, ARGS
from command import CommandLine, CommandLineParam
def parse_args() -> argparse.Namespace:
"""
Parse the command line arguments and return them as an argparse.Namespace object.
... |
evocodebench_data_109 | import json
import openai
from XAgent.logs import logger
from XAgent.config import CONFIG, get_apiconfig_by_model, get_model_name
from tenacity import (
retry,
stop_after_attempt,
wait_exponential,
retry_if_not_exception_type,
wait_chain,
wait_none,
)
import importlib.metadata as metadata
if m... |
evocodebench_data_110 | import os
from time import time
from typing import Any, Optional
from litdata.constants import _BOTO3_AVAILABLE, _IS_IN_STUDIO
if _BOTO3_AVAILABLE:
import boto3
import botocore
from botocore.credentials import InstanceMetadataProvider
from botocore.utils import InstanceMetadataFetcher
class S3Client... |
evocodebench_data_111 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_112 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_113 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_114 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_115 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_116 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_117 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_118 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_119 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_120 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_121 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_122 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_123 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_124 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_125 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_126 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_127 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_128 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_129 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_130 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_131 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_132 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_133 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_134 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_135 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_136 | import datetime
import os
import re
import sys
from dataclasses import dataclass
from pathlib import Path
from time import sleep
from typing import Optional, Union
from urllib import parse
from lightning_cloud.openapi import V1CloudSpace
from lightning_cloud.rest_client import LightningClient
# To avoid adding lightn... |
evocodebench_data_137 | import datetime
import os
import re
import sys
from dataclasses import dataclass
from pathlib import Path
from time import sleep
from typing import Optional, Union
from urllib import parse
from lightning_cloud.openapi import V1CloudSpace
from lightning_cloud.rest_client import LightningClient
# To avoid adding lightn... |
evocodebench_data_138 | import datetime
import os
import re
import sys
from dataclasses import dataclass
from pathlib import Path
from time import sleep
from typing import Optional, Union
from urllib import parse
from lightning_cloud.openapi import V1CloudSpace
from lightning_cloud.rest_client import LightningClient
# To avoid adding lightn... |
evocodebench_data_139 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_140 | import datetime
import os
import re
import sys
from dataclasses import dataclass
from pathlib import Path
from time import sleep
from typing import Optional, Union
from urllib import parse
from lightning_cloud.openapi import V1CloudSpace
from lightning_cloud.rest_client import LightningClient
# To avoid adding lightn... |
evocodebench_data_141 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_142 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_143 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_144 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_145 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_146 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_147 | from typing import Any, List, Tuple
import numpy as np
from litdata.utilities.env import _DistributedEnv
def _intra_node_chunk_shuffle(
distributed_env: _DistributedEnv,
chunks_per_ranks: List[List[int]],
seed: int,
current_epoch: int,
) -> List[int]:
chunk_indexes_per_nodes: Any = [[] for _ in ... |
evocodebench_data_148 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_149 | import io
import os
import urllib
from contextlib import contextmanager
from subprocess import DEVNULL, Popen
from typing import Any, Callable, List, Optional, Tuple, Union
from litdata.constants import _IS_IN_STUDIO, _LIGHTNING_CLOUD_LATEST
if _LIGHTNING_CLOUD_LATEST:
from lightning_cloud.openapi import (
... |
evocodebench_data_150 | from typing import Any, List, Tuple
import numpy as np
from litdata.utilities.env import _DistributedEnv
def _intra_node_chunk_shuffle(
distributed_env: _DistributedEnv,
chunks_per_ranks: List[List[int]],
seed: int,
current_epoch: int,
) -> List[int]:
chunk_indexes_per_nodes: Any = [[] for _ in ... |
evocodebench_data_151 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_152 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_153 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_154 | # Copyright The Lightning AI team.
# 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 writi... |
evocodebench_data_155 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_156 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_157 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_158 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_159 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_160 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_161 | import concurrent
import json
import logging
import os
import random
import shutil
import signal
import tempfile
import traceback
import types
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Process, Queue
from pathlib import Path
from queue import Empty
from time import sle... |
evocodebench_data_162 | from typing import Literal
import torch
from torch import nn
class NetworkWithSkipLayers(torch.nn.Module):
def __init__(self, skip_layers, output_layers) -> None:
super().__init__()
self.skip_layers = skip_layers
self.output_layers = output_layers
def forward(self, x):
input ... |
evocodebench_data_163 | from typing import List, Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import GeometryRefinementError
from iris.utils import math
class Smoothing(Algorithm):
"""Implementation of co... |
evocodebench_data_164 | from typing import List, Optional, Tuple
import numpy as np
from iris.io.dataclasses import IrisTemplate
from iris.io.errors import MatcherError
def normalized_HD(irisbitcount: int, maskbitcount: int, sqrt_totalbitcount: float, nm_dist: float) -> float:
"""Perform normalized HD calculation.
Args:
i... |
evocodebench_data_165 | from typing import Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import EyeCentersEstimationError
class BisectorsMethod(Algorithm):
"""Implementation of eye's center estimation algo... |
evocodebench_data_166 | import abc
from copy import deepcopy
from typing import Any, List
import pydantic
from pydantic import Extra
from iris.callbacks.callback_interface import Callback
class ImmutableModel(pydantic.BaseModel):
"""Specifies configurations for validating classes which objects should be immutable."""
class Config... |
evocodebench_data_167 | import abc
from collections import defaultdict
import collections
import typing
from collections import deque
import dataclasses
import inspect
import json
from dataclasses import is_dataclass
from typing import get_origin, get_args, Any, Mapping, MutableMapping, OrderedDict, Literal, Union, get_type_hints, \
Type,... |
evocodebench_data_168 | import inspect
from typing import get_type_hints, Literal, get_origin, Tuple, Callable, Optional, Dict, Union
import json
from tanuki.models.embedding import Embedding
from tanuki.models.function_description import FunctionDescription
from tanuki.models.function_type import FunctionType
from tanuki.utils import get_sou... |
evocodebench_data_169 | import hashlib
import logging
import math
import numpy as np
from bitarray import bitarray
from tanuki.persistence.filter.bloom_interface import IBloomFilterPersistence
class BloomFilter:
def __init__(self,
persistence: IBloomFilterPersistence,
size=None,
hash... |
evocodebench_data_170 | import hashlib
import logging
import math
import numpy as np
from bitarray import bitarray
from tanuki.persistence.filter.bloom_interface import IBloomFilterPersistence
class BloomFilter:
def __init__(self,
persistence: IBloomFilterPersistence,
size=None,
hash... |
evocodebench_data_171 | import hashlib
import logging
import math
import numpy as np
from bitarray import bitarray
from tanuki.persistence.filter.bloom_interface import IBloomFilterPersistence
class BloomFilter:
def __init__(self,
persistence: IBloomFilterPersistence,
size=None,
hash... |
evocodebench_data_172 | from pydantic import BaseModel
from typing import Dict, List
from tanuki.language_models.llm_configs.abc_base_config import BaseModelConfig
from tanuki.language_models.llm_configs import DEFAULT_TEACHER_MODELS, DEFAULT_STUDENT_MODELS
from tanuki.constants import DEFAULT_TEACHER_MODEL_NAMES, DEFAULT_DISTILLED_MODEL_NAME... |
evocodebench_data_173 | from typing import List
import logging
import time
# import abstract base class
from openai import OpenAI
from openai.types import CreateEmbeddingResponse
from openai.types.fine_tuning import FineTuningJob
from tanuki.language_models.llm_finetune_api_abc import LLM_Finetune_API
from tanuki.models.embedding import Emb... |
evocodebench_data_174 | """Tools module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# Riskfolio-Lib, Copyright (c) 2020-2023, Dany Cajas, Licensed under BSD 3 clause.
# Statsmodels, Copyright (C) 2006, Jonathan E. Taylor, Licensed under BSD 3 clause.
from enu... |
evocodebench_data_175 | """Tools module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# Riskfolio-Lib, Copyright (c) 2020-2023, Dany Cajas, Licensed under BSD 3 clause.
# Statsmodels, Copyright (C) 2006, Jonathan E. Taylor, Licensed under BSD 3 clause.
from enu... |
evocodebench_data_176 | import json
from typing import Any, Dict
from tanuki.function_modeler import FunctionModeler
from tanuki.language_models.llm_api_abc import LLM_API
from tanuki.models.function_description import FunctionDescription
from tanuki.models.function_example import FunctionExample
from tanuki.models.language_model_output impo... |
evocodebench_data_177 | """Tools module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# Riskfolio-Lib, Copyright (c) 2020-2023, Dany Cajas, Licensed under BSD 3 clause.
# Statsmodels, Copyright (C) 2006, Jonathan E. Taylor, Licensed under BSD 3 clause.
from enu... |
evocodebench_data_178 | """Datasets module."""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# scikit-portfolio, Copyright (c) 2022, Carlo Nicolini, Licensed under MIT Licence.
# scikit-learn, Copyright (c) 2007-2010 David Cournapeau, Fabian Pedregosa, Olivier
# Gr... |
evocodebench_data_179 | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
from dataclasses import dataclass
from typing import Callable, List, Optional, Tuple
import torch
from torch import nn
from detectron2.structures import Boxes, Instances, ROIMasks
from detectron2.utils.registry import _convert_target_to_string, loca... |
evocodebench_data_180 | """Equation module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
import re
import warnings
import numpy as np
import numpy.typing as npt
from skfolio.exceptions import EquationToMatrixError, GroupNotFoundError
__all__ = ["equations_to_matrix"]
def equations_to_ma... |
evocodebench_data_181 | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import sys
import tempfile
from contextlib import ExitStack, contextmanager
from copy import deepcopy
from unittest import mock
import torch
from torch import nn
# need some explicit imports due to https://github.com/pytorch/pytorch/issues/38964
import dete... |
evocodebench_data_182 | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Common data processing utilities that are used in a
typical object detection data pipeline.
"""
import logging
import numpy as np
from typing import List, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from d... |
evocodebench_data_183 | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Common data processing utilities that are used in a
typical object detection data pipeline.
"""
import logging
import numpy as np
from typing import List, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from d... |
evocodebench_data_184 | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
See "Data Augmentation" tutorial for an overview of the system:
https://detectron2.readthedocs.io/tutorials/augmentation.html
"""
import numpy as np
import torch
import torch.nn.functional as F
from fvcore.transforms.transform import (
... |
evocodebench_data_185 | # Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import typing
from typing import Any, List
import fvcore
from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
from torch import nn
from detectron2.export import TracingAdapter
__all__ = [
"activation_... |
evocodebench_data_186 | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
See "Data Augmentation" tutorial for an overview of the system:
https://detectron2.readthedocs.io/tutorials/augmentation.html
"""
import numpy as np
import torch
import torch.nn.functional as F
from fvcore.transforms.transform import (
... |
evocodebench_data_187 | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import pycocotools.mask as mask_util
import torch
from detectron2.dat... |
evocodebench_data_188 | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import pycocotools.mask as mask_util
import torch
from detectron2.dat... |
evocodebench_data_189 | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import pycocotools.mask as mask_util
import torch
from detectron2.dat... |
evocodebench_data_190 | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import pycocotools.mask as mask_util
import torch
from detectron2.dat... |
evocodebench_data_191 | # Copyright (c) Facebook, Inc. and its affiliates.
import io
import numpy as np
import torch
from detectron2 import model_zoo
from detectron2.config import CfgNode, instantiate
from detectron2.data import DatasetCatalog
from detectron2.data.detection_utils import read_image
from detectron2.modeling import build_model
... |
evocodebench_data_192 | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
import torch
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes
class RotatedBoxes(Boxes):
"""
This structure stores a list of rotated boxes as a Nx5 torch.Tensor.
It supp... |
evocodebench_data_193 | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.utils.registry import Registry
PROPOSAL_GENERATOR_REGISTRY = Registry("PROPOSAL_GENERATOR")
PROPOSAL_GENERATOR_REGISTRY.__doc__ = """
Registry for proposal generator, which produces object proposals from feature maps.
The registered object will be cal... |
evocodebench_data_194 | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, List, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, batched_nms, cat, cross_entropy, nonzero_tuple
from de... |
evocodebench_data_195 | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
from ..structures import Instances
from detectron2.utils.registry import Registry
from ..config.config import CfgNode as CfgNode_
from detectron2.config import configurable
TRACKER_HEADS_REGISTRY = Registry("TRACKER_HEADS")
TRACKER_HEADS_R... |
evocodebench_data_196 | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple, Union
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from torch.nn import functional as F
from detectron2.layers import cat, ciou_loss, diou_loss
from detectron2.structures import Boxes
# Value for clamping la... |
evocodebench_data_197 | # -*- coding: utf-8 -*-
# Copyright (c) Alibaba, Inc. and its affiliates.
import cv2
import numpy as np
def resize_image(input_image, resolution):
H, W, C = input_image.shape
H = float(H)
W = float(W)
k = float(resolution) / min(H, W)
H *= k
W *= k
H = int(np.round(H / 64.0)) * 64
W = ... |
evocodebench_data_198 | from collections import defaultdict
from math import log
import string
def update_url_scores(old: dict[str, float], new: dict[str, float]):
for url, score in new.items():
if url in old:
old[url] += score
else:
old[url] = score
return old
def normalize_string(input_str... |
evocodebench_data_199 | from collections import defaultdict
from math import log
import string
def update_url_scores(old: dict[str, float], new: dict[str, float]):
for url, score in new.items():
if url in old:
old[url] += score
else:
old[url] = score
return old
def normalize_string(input_str... |
evocodebench_data_200 | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
import torch
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes
class RotatedBoxes(Boxes):
"""
This structure stores a list of rotated boxes as a Nx5 torch.Tensor.
It supp... |
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