id stringlengths 19 21 | content stringlengths 722 86.7k |
|---|---|
evocodebench_data_1 | """
Common utilities.
"""
from asyncio import AbstractEventLoop
import json
import logging
import logging.handlers
import os
import platform
import sys
from typing import AsyncGenerator, Generator
import warnings
import requests
from chat.constants import LOGDIR
handler = None
visited_loggers = set()
def build_lo... |
evocodebench_data_2 | """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_3 | # 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_4 | 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_5 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_6 | # 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_7 | # 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_8 | """Tools module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# scikit-learn, Copyright (c) 2007-2010 David Cournapeau, Fabian Pedregosa, Olivier
# Grisel Licensed under BSD 3 clause.
from collections.abc import Callable, Iterator
from e... |
evocodebench_data_9 | import json
import numpy as np
from agents.microagent import MicroAgent
class AgentSerializer:
@staticmethod
def to_dict(agent):
"""
Serialize the MicroAgent object to a dictionary for persistence.
"""
purpose_embedding = agent.purpose_embedding
if isinstance(purpose_emb... |
evocodebench_data_10 | # 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_11 | # 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_12 | # formatting done while cleaning
def connect(prev, curr):
has_space = prev.endswith(" ")
has_hyphen = prev.endswith("-")
if has_hyphen:
result = prev[0:-1] + curr
return result
result = prev + ("" if has_space else " ") + curr
return result
def fix_mixedcase_words(word):
# if l... |
evocodebench_data_13 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_14 | # 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_15 | import ast
import asyncio
import functools
import itertools
import logging
import os
import re
import string
from copy import deepcopy
from typing import List, Callable, Dict, Optional, Any, Collection
import pandas as pd
logger = logging.getLogger("AutoRAG")
def fetch_contents(corpus_data: pd.DataFrame, ids: List[... |
evocodebench_data_16 | # 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_17 | 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_18 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_19 | import dataclasses
import datetime
import inspect
import json
import typing
from typing import get_args, Literal
import string
import types
def json_default(thing):
try:
return dataclasses.asdict(thing)
except TypeError:
pass
if isinstance(thing, datetime.datetime):
return thing.iso... |
evocodebench_data_20 | # 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_21 | # 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_22 | # 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_23 | # 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_24 | # 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_25 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_26 | # 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_27 | # 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_28 | # @Author : Shichao Song
# @Email : song.shichao@outlook.com
from typing import Callable
import evaluate
import jieba
from loguru import logger
from text2vec import Similarity
def catch_all_exceptions(func):
def wrapper(*args, **kwargs):
try:
result = func(*args, **kwargs)
retu... |
evocodebench_data_29 | # 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_30 | # 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_31 | # 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_32 | # 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_33 | import json
import numpy as np
from agents.microagent import MicroAgent
class AgentSerializer:
@staticmethod
def to_dict(agent):
"""
Serialize the MicroAgent object to a dictionary for persistence.
"""
purpose_embedding = agent.purpose_embedding
if isinstance(purpose_emb... |
evocodebench_data_34 | from collections import defaultdict
from typing import Any, Dict, List, Tuple
def _pack_greedily(items: List[Any], weights: List[int], num_bins: int) -> Tuple[Dict[int, List[Any]], Dict[int, int]]:
"""Greedily pack items with given weights into bins such that the total weight of each bin is roughly equally
di... |
evocodebench_data_35 | 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_36 | import math
from typing import Dict, Tuple
import numpy as np
def area(array: np.ndarray) -> float:
"""Shoelace formula for simple polygon area calculation.
WARNING: This formula only works for simple polygons, i.e planar polygon without self-intersection nor holes.
These conditions are not checked with... |
evocodebench_data_37 | from typing import Callable, List
import cv2
import numpy as np
from pydantic import NonNegativeFloat
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import GeometryMask, GeometryPolygons
from iris.io.errors import VectorizationError
from iris.utils.math import area
def filter_polygon_areas(
... |
evocodebench_data_38 | # 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_39 | import functools
import time
from typing import List, Iterable, Tuple, Any, Optional, Callable
import pandas as pd
def measure_speed(func, *args, **kwargs):
"""
Method for measuring execution speed of the function.
"""
start_time = time.time()
result = func(*args, **kwargs)
end_time = time.ti... |
evocodebench_data_40 | import math
from typing import Dict, Tuple
import numpy as np
def area(array: np.ndarray) -> float:
"""Shoelace formula for simple polygon area calculation.
WARNING: This formula only works for simple polygons, i.e planar polygon without self-intersection nor holes.
These conditions are not checked with... |
evocodebench_data_41 | import torch
from typing import Tuple, Callable, List
def matchup_channels(t: torch.Tensor, w: torch.Tensor):
if t.ndim == w.ndim + 1:
t = t[..., 0] # remove last dimension
if t.shape[-1] != w.shape[-1] + 1:
t = torch.cat([t, torch.ones_like(t[..., -1:])], dim=-1) # 65
return t, w
@tor... |
evocodebench_data_42 | # 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_43 | # 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_44 | _FORMAT_TO_RATIO = {
"kb": 1000,
"mb": 1000**2,
"gb": 1000**3,
"tb": 1000**4,
}
def _convert_bytes_to_int(bytes_str: str) -> int:
"""Convert human-readable byte format to an integer."""
for suffix in _FORMAT_TO_RATIO:
bytes_str = bytes_str.lower().strip()
if bytes_str.lower().e... |
evocodebench_data_45 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_46 | # 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_47 | # @Author : Shichao Song
# @Email : song.shichao@outlook.com
from typing import Callable
import evaluate
import jieba
from loguru import logger
from text2vec import Similarity
def catch_all_exceptions(func):
def wrapper(*args, **kwargs):
try:
result = func(*args, **kwargs)
retu... |
evocodebench_data_48 | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import pydoc
from fvcore.common.registry import Registry # for backward compatibility.
"""
``Registry`` and `locate` provide ways to map a string (typically found
in config files) to callable objects.
"""
__all__ = ["Registry", "locate"]
de... |
evocodebench_data_49 | # 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_50 | from typing import Tuple, List
import pandas as pd
from autorag.nodes.retrieval import retrieval_node
@retrieval_node
def hybrid_cc(
ids: Tuple,
scores: Tuple,
top_k: int,
weights: Tuple = (0.5, 0.5)) -> Tuple[List[List[str]], List[List[float]]]:
"""
Hybrid CC function.
C... |
evocodebench_data_51 | """Tools module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# scikit-learn, Copyright (c) 2007-2010 David Cournapeau, Fabian Pedregosa, Olivier
# Grisel Licensed under BSD 3 clause.
from collections.abc import Callable, Iterator
from e... |
evocodebench_data_52 | 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_53 | # 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_54 | 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_55 | """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_56 | from copy import deepcopy
from dataclasses import dataclass, field
from typing import Callable, Dict
from autorag.support import get_support_modules
@dataclass
class Module:
module_type: str
module_param: Dict
module: Callable = field(init=False)
def __post_init__(self):
self.module = get_su... |
evocodebench_data_57 | # -*- 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_58 | # 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_59 | import logging
from integrations.openaiwrapper import OpenAIAPIWrapper
from agents.parallel_agent_executor import ParallelAgentExecutor
from prompt_management.prompts import (
REACT_STEP_POST, REACT_STEP_PROMPT, REACT_SYSTEM_PROMPT, REACT_PLAN_PROMPT, STATIC_PRE_PROMPT, STATIC_PRE_PROMPT_PRIME, REACT_STEP_PROMPT_PR... |
evocodebench_data_60 | # -*- 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_61 | """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_62 | """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_63 | # 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_64 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_65 | from copy import deepcopy
from typing import Union, List, Dict, Tuple, Any
from autorag import embedding_models
def cast_metrics(metrics: Union[List[str], List[Dict]]) -> Tuple[List[str], List[Dict[str, Any]]]:
"""
Turn metrics to list of metric names and parameter list.
:param metrics: List of string ... |
evocodebench_data_66 | # 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_67 | # 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_68 | # 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_69 | from typing import Tuple, List
import pandas as pd
from autorag.nodes.retrieval import retrieval_node
@retrieval_node
def hybrid_cc(
ids: Tuple,
scores: Tuple,
top_k: int,
weights: Tuple = (0.5, 0.5)) -> Tuple[List[List[str]], List[List[float]]]:
"""
Hybrid CC function.
C... |
evocodebench_data_70 | # 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_71 | """Tools module"""
# Copyright (c) 2023
# Author: Hugo Delatte <delatte.hugo@gmail.com>
# License: BSD 3 clause
# Implementation derived from:
# scikit-learn, Copyright (c) 2007-2010 David Cournapeau, Fabian Pedregosa, Olivier
# Grisel Licensed under BSD 3 clause.
from collections.abc import Callable, Iterator
from e... |
evocodebench_data_72 | """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_73 | # 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_74 | from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cls (type): Class type.
v (int): Value to check.
... |
evocodebench_data_75 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from easyvolcap.utils.egl_utils import create_opengl_context, eglContextManager # must be imported before OpenGL.GL
from easyvolcap.runners.volumetric_video_viewer import VolumetricVideoViewer
import os
import sys
import glm... |
evocodebench_data_76 | import re
from collections import OrderedDict
import torch
import torch.nn.functional as F
from transformers import BertConfig, GPT2Config, PretrainedConfig
from .configuration_nomic_bert import NomicBertConfig
def bert_config_to_nomic_config(bert_config: BertConfig) -> NomicBertConfig:
return NomicBertConfig(
... |
evocodebench_data_77 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from easyvolcap.utils.egl_utils import create_opengl_context, eglContextManager # must be imported before OpenGL.GL
from easyvolcap.runners.volumetric_video_viewer import VolumetricVideoViewer
import os
import sys
import glm... |
evocodebench_data_78 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from easyvolcap.utils.egl_utils import create_opengl_context, eglContextManager # must be imported before OpenGL.GL
from easyvolcap.runners.volumetric_video_viewer import VolumetricVideoViewer
import os
import sys
import glm... |
evocodebench_data_79 | # Feature Cloud Sequence utilities
# This files builds the components for the feature cloud sequence sampler
import torch
from typing import List, Dict, Union
from easyvolcap.utils.console_utils import *
from easyvolcap.utils.base_utils import dotdict
from easyvolcap.utils.raster_utils import get_ndc_perspective_matr... |
evocodebench_data_80 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from easyvolcap.utils.egl_utils import create_opengl_context, eglContextManager # must be imported before OpenGL.GL
from easyvolcap.runners.volumetric_video_viewer import VolumetricVideoViewer
import os
import sys
import glm... |
evocodebench_data_81 | # Feature Cloud Sequence utilities
# This files builds the components for the feature cloud sequence sampler
import torch
from typing import List, Dict, Union
from easyvolcap.utils.console_utils import *
from easyvolcap.utils.base_utils import dotdict
from easyvolcap.utils.raster_utils import get_ndc_perspective_matr... |
evocodebench_data_82 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from easyvolcap.utils.egl_utils import create_opengl_context, eglContextManager # must be imported before OpenGL.GL
from easyvolcap.runners.volumetric_video_viewer import VolumetricVideoViewer
import os
import sys
import glm... |
evocodebench_data_83 | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.vgg as vgg
from collections import namedtuple
from easyvolcap.utils.prop_utils import searchsorted, matchup_channels
from enum import Enum, auto
class ElasticLossReduceType(Enum):
WEIGHT = auto()
M... |
evocodebench_data_84 | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.vgg as vgg
from collections import namedtuple
from easyvolcap.utils.prop_utils import searchsorted, matchup_channels
from enum import Enum, auto
class ElasticLossReduceType(Enum):
WEIGHT = auto()
M... |
evocodebench_data_85 | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.vgg as vgg
from collections import namedtuple
from easyvolcap.utils.prop_utils import searchsorted, matchup_channels
from enum import Enum, auto
class ElasticLossReduceType(Enum):
WEIGHT = auto()
M... |
evocodebench_data_86 | import torch
from typing import Tuple, Callable, List
def matchup_channels(t: torch.Tensor, w: torch.Tensor):
if t.ndim == w.ndim + 1:
t = t[..., 0] # remove last dimension
if t.shape[-1] != w.shape[-1] + 1:
t = torch.cat([t, torch.ones_like(t[..., -1:])], dim=-1) # 65
return t, w
@tor... |
evocodebench_data_87 | import torch
from typing import Tuple, Callable, List
def matchup_channels(t: torch.Tensor, w: torch.Tensor):
if t.ndim == w.ndim + 1:
t = t[..., 0] # remove last dimension
if t.shape[-1] != w.shape[-1] + 1:
t = torch.cat([t, torch.ones_like(t[..., -1:])], dim=-1) # 65
return t, w
@tor... |
evocodebench_data_88 | import torch
from typing import Tuple, Callable, List
def matchup_channels(t: torch.Tensor, w: torch.Tensor):
if t.ndim == w.ndim + 1:
t = t[..., 0] # remove last dimension
if t.shape[-1] != w.shape[-1] + 1:
t = torch.cat([t, torch.ones_like(t[..., -1:])], dim=-1) # 65
return t, w
@tor... |
evocodebench_data_89 | import torch
from typing import Tuple, Callable, List
def matchup_channels(t: torch.Tensor, w: torch.Tensor):
if t.ndim == w.ndim + 1:
t = t[..., 0] # remove last dimension
if t.shape[-1] != w.shape[-1] + 1:
t = torch.cat([t, torch.ones_like(t[..., -1:])], dim=-1) # 65
return t, w
@tor... |
evocodebench_data_90 | import torch
from typing import Tuple, Callable, List
def matchup_channels(t: torch.Tensor, w: torch.Tensor):
if t.ndim == w.ndim + 1:
t = t[..., 0] # remove last dimension
if t.shape[-1] != w.shape[-1] + 1:
t = torch.cat([t, torch.ones_like(t[..., -1:])], dim=-1) # 65
return t, w
@tor... |
evocodebench_data_91 | import os
import re
import cv2
import h5py
import torch
import struct
import asyncio
import subprocess
import numpy as np
from PIL import Image
from io import BytesIO
from typing import overload
from functools import lru_cache
# from imgaug import augmenters as iaa
from typing import Tuple, Union, List, Dict
from to... |
evocodebench_data_92 | import math
import torch
from typing import Callable, Tuple
from easyvolcap.utils.console_utils import *
def chunkify(chunk_size=1024,
key='ray_o',
pos=0,
dim=-2,
merge_dims: bool = False,
ignore_mismatch: bool = False, # ignore mismatch in batch dims
... |
evocodebench_data_93 | import os
import re
import cv2
import h5py
import torch
import struct
import asyncio
import subprocess
import numpy as np
from PIL import Image
from io import BytesIO
from typing import overload
from functools import lru_cache
# from imgaug import augmenters as iaa
from typing import Tuple, Union, List, Dict
from to... |
evocodebench_data_94 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from imgui_bundle import imgui
from easyvolcap.runners.volumetric_video_viewer import VolumetricVideoViewer
import glm
import torch
import numpy as np
from os.path import join
from scipy import interpolate
from copy import c... |
evocodebench_data_95 | from agents.agent_serializer import AgentSerializer
from integrations.memoize import memoize_to_sqlite
from integrations.sqlite_agent_persistence import SQLiteAgentPersistence
class AgentPersistenceManager:
def __init__(self, db_filename="agents.db"):
self.persistence = SQLiteAgentPersistence(db_filename)... |
evocodebench_data_96 | import logging
import numpy as np
from typing import List, Tuple, Optional
from sklearn.metrics.pairwise import cosine_similarity
from integrations.openaiwrapper import OpenAIAPIWrapper
logger = logging.getLogger()
class Agent:
def __init__(self, purpose: str):
self.purpose = purpose
self.purpose... |
evocodebench_data_97 | 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_98 | from agents.agent_serializer import AgentSerializer
from integrations.memoize import memoize_to_sqlite
from integrations.sqlite_agent_persistence import SQLiteAgentPersistence
class AgentPersistenceManager:
def __init__(self, db_filename="agents.db"):
self.persistence = SQLiteAgentPersistence(db_filename)... |
evocodebench_data_99 | from agents.agent_serializer import AgentSerializer
from integrations.memoize import memoize_to_sqlite
from integrations.sqlite_agent_persistence import SQLiteAgentPersistence
class AgentPersistenceManager:
def __init__(self, db_filename="agents.db"):
self.persistence = SQLiteAgentPersistence(db_filename)... |
evocodebench_data_100 | 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... |
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