python_code stringlengths 0 66.4k |
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import numpy as np
import numpy.testing as npt
from aepsych.config import Config
fro... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# Th... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datetime import datetime
import numpy as np
constants = {
"savefolder": "./databases/",
... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import experiment_config
import numpy as np
import torch
from aepsych_client import AEPsychClient
fro... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import pyglet
from psychopy import core, event
from psychopy.visual import Window
... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# we have pretty verbose messaging by default, suppress that here
import logging
import warnings
war... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from copy import copy
import matplotlib.pyplot as plt
import numpy as np
import torch
from aepsych.... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import gpytorch
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import torch... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the scripts directory.
from __future__ import annotations
import argparse
import json
import os
import nbformat
from bs4 import BeautifulSoup
from nbconver... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the scripts directory.
from __future__ import annotations
import argparse
import os
from bs4 import BeautifulSoup
#The base_url must match the base url in... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
from __future__ import annotations
import argparse
import json
import os
import shutil
import nbformat
from bs4 import BeautifulSoup
from nbconvert import HTMLExporter
TEMPLATE = """const CWD = process.cwd();
const Rea... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Evaluation script for object localization
import json
import argparse
import torch
import itertools
import numpy as np... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Script to print stats on the NP annotation file
import numpy as np
import json
import csv
import sys
src_file = sys.a... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Based on
# https://github.com/jiasenlu/NeuralBabyTalk/blob/master/misc/bbox_transform.py
# Licensed under The MIT Licen... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Script to preprocess the raw annotation output to NP/object annotation files
import os
import sys
import json
import a... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Script to print stats on the object annotation file
import numpy as np
import json
import csv
# import visdom
import s... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import random
import shutil
import pandas as pd
import tqdm
if __name__ == "__main... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import tqdm
import json
import torch
from torch import device
from torchvision import transform... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
from augly.image import functional as aug_functional
import torch
from torchvision import transforms
f... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
class JND(nn.Module):
""" https://ieeexplore.ieee.... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import random
from typing import Any, Dict, List, NamedTuple, Tuple
import augly.im... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import time
from typing import Callable
import faiss
import numpy as np
import torch
from tor... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import functools
import logging
import os
import faiss
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES =... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import random
import faiss
import tqdm
import numpy as np
import pandas as pd
import torch
imp... |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import setuptools
setuptools.setup(
name="pterotactyl",
version="0.1.0",
author="Facebook AI Research",
... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
|
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
|
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
import torch
from pterotactyl.utility import utils
BASE_MESH_SIZE = 1824
BASE_CHART_SIZE = 25
# replay buffer u... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
import numpy as np
import torch
import torch.utils.data
from pterotactyl.utility import utils
from pterotactyl.utility... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import torch
from pterotactyl.utility import utils
class Latent_Model(nn.Module):
def __init__(self, args):
... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import json
import argparse
from collections import namedtuple
from tqdm import tqdm
from torch.utils.data import DataLoader
import t... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
import torch
import torch.nn as nn
import torch.optim as optim
from pterotactyl.policies.DDQN import model
from pterotactyl.poli... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
import torch
from torch.nn.parameter import Parameter
import torch.nn.functional as F
import numpy as np
fro... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import DataLoader
import torch
import argparse
from submitit.... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from tqdm import tqdm
from torch.utils.data import DataLoader
import torch
import argparse
import numpy as np
from subm... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import random
# class for getting radnom samples from the space of action
class random_sampler:
def __init__(self, args... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from tqdm import tqdm
import os
from torch.utils.data import DataLoader
import torch
import argparse
from pterotactyl.policies import environm... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from tqdm import tqdm
import os
from torch.utils.data import DataLoader
import torch
import argparse
from pterotactyl.policies import environm... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from tqdm import tqdm
from torch.utils.data import DataLoader
import torch
import argparse
from pterotactyl.policies import environm... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from tqdm import tqdm
import numpy as np
from torch.utils.data import DataLoader
import torch
import argparse
from subm... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from tqdm.notebook import tqdm
import numpy as np
from torch.utils.data import DataLoader
import torch
import argparse
... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
from scipy.spatial.transform import Rotation as R
import pyrender
import t... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
import cv2
import pyrender
import trimesh
from scipy.spatial.transform im... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
import pyrender
from pterotactyl.utility import utils
class Renderer:
... |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import numpy as np
import trimesh
from scipy.spatial.transform import Rotation as R
from scipy.spatial import ConvexHull
from pt... |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
import pybullet as pb
import numpy as np
import trimesh
import torch
from scipy.spatial.transform import Rotation as R... |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
import numpy as np
import pybullet_utils.bullet_client as bc
import pybullet as pb
import pybullet_data
import torch
f... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
|
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
import torch
import numpy as np
from torch.nn.parameter import Parameter
import torch.nn.functional as F
# ... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
import numpy as np
from tqdm import tqdm
import argparse
import random
from PIL import Image
from torch.utils.tensorboar... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
# CNN block
class DoubleConv(nn.Module):
def __init__(self, in_channels, out_channels, last=False):
... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
from tqdm import tqdm
import argparse
from torch.utils.tensorboard import SummaryWriter
import torch.optim as optim
from... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
import torch
import numpy as np
from torch.nn.parameter import Parameter
import torch.nn.functional as F
from... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
import numpy as np
from tqdm import tqdm
import argparse
from torch.utils.tensorboard import SummaryWriter
import torch... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from glob import glob
from tqdm import tqdm
import numpy as np
import torch
from torchvision import transforms
import ... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
import os
from PIL import Image
import math
import json
import numpy as np
import torch
import torch.nn.functional as F
import ma... |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
import trimesh
from scipy.spatial.transform import Rotatio... |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
import numpy as np
from tqdm import tqdm
from glob import glob
import random
from pathlib import Path
import torch
im... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import argparse
import os
import numpy as np
import torch
from human_body_prior.body_model.body_model import BodyModel
from human_body_prior.tools.rotation_tools import aa2matrot, local2global_pose
from tqdm import tqdm
from utils import utils_transform
def m... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import math
import os
import random
import numpy as np
import torch
from data_loaders.dataloader import load_data, TestDataset
from human_body_prior.body_model.body_model import BodyModel as BM
from model.networks import PureMLP
from tqdm import tqdm
from u... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import json
import os
import random
import numpy as np
import torch
from data_loaders.dataloader import get_dataloader, load_data, TrainDataset
from model.networks import PureMLP
from runner.train_mlp import train_step
from runner.training_loop import TrainLoo... |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import functools
import os
... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch
def update_lr_multistep(
nb_iter, total_iter, max_lr, min_lr, optimizer, lr_anneal_steps
):
if nb_iter > lr_anneal_steps:
current_lr = min_lr
else:
current_lr = max_lr
for param_group in optimizer.param_groups:
... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
# Metric functions with same inputs
import numpy as np
import torch
def pred_jitter(
predicted_position,
predicted_angle,
predicted_root_angle,
gt_position,
gt_angle,
gt_root_angle,
upper_index,
lower_index,
fps,
):
pred... |
import os
SMPL_DATA_PATH = "./body_models/smpl"
SMPL_KINTREE_PATH = os.path.join(SMPL_DATA_PATH, "kintree_table.pkl")
SMPL_MODEL_PATH = os.path.join(SMPL_DATA_PATH, "SMPL_NEUTRAL.pkl")
JOINT_REGRESSOR_TRAIN_EXTRA = os.path.join(SMPL_DATA_PATH, "J_regressor_extra.npy")
ROT_CONVENTION_TO_ROT_NUMBER = {
"legacy": ... |
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
from diffusion import gaussian_diffusion as gd
from diffusion.respace import space_timesteps, SpacedDiffusion
from model.meta_model import M... |
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
# Check PYTORCH3D_LICENCE before use
import functools
from typing import Optional
import torch
import torch.nn.functional as F
"""
The transformation matrices returned from the functions in this file assume
the points on which the transformatio... |
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import argparse
import json
import os
from argparse import ArgumentParser
def parse_and_load_from_model(parser):
# args according to th... |
# MIT License
# Copyright (c) 2022 ETH Sensing, Interaction & Perception Lab
#
# This code is based on https://github.com/eth-siplab/AvatarPoser
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import os
import cv2
import numpy as np
import trimesh
from body_visualizer.mesh.mesh_viewer import MeshViewer
from... |
# MIT License
# Copyright (c) 2022 ETH Sensing, Interaction & Perception Lab
#
# This code is based on https://github.com/eth-siplab/AvatarPoser
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch
from human_body_prior.tools import tgm_conversion as tgm
from human_body_prior.tools.rotation_tools impo... |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
"""
Helpers for distributed training.
"""
import socket
import torch as th
import torch.distributed as dist
# Change this to reflect your cluster layout.
# The GPU for a given rank is (rank % GPUS_PER_NODE... |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import numpy as np
import tor... |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
from abc import ABC, abstractmethod
import numpy as np
import torch as th
import torch.distributed as dist
def create_named_schedule_sampler(name, diffusion):
"""
Create a ScheduleSampler from a lib... |
"""
Logger copied from OpenAI baselines to avoid extra RL-based dependencies:
https://github.com/openai/baselines/blob/ea25b9e8b234e6ee1bca43083f8f3cf974143998/baselines/logger.py
"""
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
# Copyright (c) Meta Plat... |
"""
This code started out as a PyTorch port of Ho et al's diffusion models:
https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/diffusion_utils_2.py
Docstrings have been added, as well as DDIM sampling and a new collection of beta schedules.
"""
# MIT License
# Copyrigh... |
"""
Helpers for various likelihood-based losses. These are ported from the original
Ho et al. diffusion models codebase:
https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/utils.py
"""
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.co... |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
"""
Helpers to train with 16-bit precision.
"""
import numpy as np
import torch as th
import torch.nn as nn
from diffusion import logger
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tens... |
"""
This code started out as a PyTorch port of Ho et al's diffusion models:
https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/diffusion_utils_2.py
Docstrings have been added, as well as DDIM sampling and a new collection of beta schedules.
"""
# MIT License
# Copyrigh... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import numpy as np
import torch
import torch.nn as nn
from model.networks import DiffMLP
class MetaModel(nn.Module):
def __init__(
self,
arch,
nfeats,
latent_dim=256,
num_layers=8,
dropout=0.1,
dataset... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch.nn as nn
###############################
############ Layers ###########
###############################
class MLPblock(nn.Module):
def __init__(self, dim, seq0, seq1, first=False, w_embed=True):
super().__init__()
self.w_emb... |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import glob
import os
import torch
from torch.utils.data import DataLoader, Dataset
from tqdm import tqdm
class TrainDataset(Dataset):
def __init__(
self,
dataset,
mean,
std,
motions,
sparses,
input_... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from setuptools import setup, find_packages
with open('README.md', 'r') as f:
long_description = f.read()
with ope... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from functools import wraps
import multiprocessing
import random
import re
from joblib import Parallel, delayed
import t... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from functools import wraps
from pathlib import Path
import shutil
import tempfile
from imohash import hashfile
from ac... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from functools import lru_cache
import Levenshtein
import numpy as np
from access.resources.paths import FASTTEXT_EMBED... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from abc import ABC
from functools import wraps, lru_cache
import hashlib
from pathlib import Path
import dill as pickle
... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from functools import lru_cache
import re
from string import punctuation
from nltk.tokenize.nist import NISTTokenizer
fr... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from itertools import product
from pathlib import Path
REPO_DIR = Path(__file__).resolve().parent.parent.parent
EXP_DIR ... |
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