python_code stringlengths 0 4.04M | repo_name stringlengths 7 58 | file_path stringlengths 5 147 |
|---|---|---|
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import dataclasses
import hydra
import torch.cuda
from hydra.core.config_store import ConfigStore
from rlhive.rl_envs import RoboHiveEnv
f... | agenthive-dev | scripts/redq/redq.py |
"""
This is a job script for running policy gradient algorithms on gym tasks.
Separate job scripts are provided to run few other algorithms
- For DAPG see here: https://github.com/aravindr93/hand_dapg/tree/master/dapg/examples
- For model-based NPG see here: https://github.com/aravindr93/mjrl/tree/master/mjrl/algos/mod... | agenthive-dev | baselines/mjrl/mjrl_job_script.py |
"""
This is a launcher script for launching mjrl training using hydra
"""
import os
import time as timer
import hydra
from omegaconf import DictConfig, OmegaConf
from mjrl_job_script import train_loop
# ===============================================================================
# Process Inputs and configure job
... | agenthive-dev | baselines/mjrl/hydra_mjrl_launcher.py |
import robohive
import click
DESC="""
Script to render trajectories embeded in the env"
"""
@click.command(help=DESC)
@click.option('-s', '--suite', type=str, help='environment suite to train', default="arms")
@click.option('-l', '--launcher', type=click.Choice(['', None, "local", "slurm"]), default='')
@click.option... | agenthive-dev | baselines/mjrl/get_trian_cmd.py |
#!/usr/bin/env python
"""
MIT License
Copyright (c) 2017 Guillaume Papin
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy,... | agenthive-dev | .circleci/unittest/linux/scripts/run-clang-format.py |
# 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.
from setuptools import setup, find_packages
setup(
name="psvi",
version="0.1.0",
description="Setting up a py... | Blackbox-Coresets-VI-main | setup.py |
# 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.
| Blackbox-Coresets-VI-main | psvi/__init__.py |
# 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.
r"""
Experiment execution script: Users can specify the dataset, the statistical model and the inference methods,
and this... | Blackbox-Coresets-VI-main | psvi/experiments/flow_psvi.py |
# 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.
| Blackbox-Coresets-VI-main | psvi/experiments/__init__.py |
# 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.
"""
ADAPTATION OF flow_psvi FOR MULTI-GPU PLATFORMS
"""
r"""
Experiment execution script: Users can specify the dataset, ... | Blackbox-Coresets-VI-main | psvi/experiments/flow-psvi-parallel.py |
# 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 contextlib
import os
import requests
import urllib.request
import zipfile
from collections import namedtuple
from i... | Blackbox-Coresets-VI-main | psvi/experiments/experiments_utils.py |
# 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.
| Blackbox-Coresets-VI-main | psvi/models/__init__.py |
# 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 operator as op
from functools import reduce
import numpy as np
import torch
import torch.distributions as dist
imp... | Blackbox-Coresets-VI-main | psvi/models/neural_net.py |
# 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
import stan
import torch
from torch.distributions.normal import Normal
def logreg_forward(thetas, x):... | Blackbox-Coresets-VI-main | psvi/models/logreg.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
"""from https://github.com/lrjconan/RBP/blob/9c6e68d1a7e61b1f4c06414fae04aeb43c8527cb/utils/model_helper.py"""
import torch
def cg(Ax, b, max_iter=100, epsilon=1.0e-5):
"""Conjugate Gradient
Args:
Ax: function, takes list of t... | Blackbox-Coresets-VI-main | psvi/hypergrad/CG_torch.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
from itertools import repeat
import torch
class DifferentiableOptimizer:
def __init__(self, loss_f, dim_mult, data_or_iter=None):
"""
Args:
loss_f: callable with signature (params, hparams, [data optional]) ... | Blackbox-Coresets-VI-main | psvi/hypergrad/diff_optimizers.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
from .hypergradients import *
from .diff_optimizers import *
| Blackbox-Coresets-VI-main | psvi/hypergrad/__init__.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
from typing import Callable, List
import torch
from torch import Tensor
from torch.autograd import grad as torch_grad
from . import CG_torch
# noinspection PyUnusedLocal
def reverse_unroll(
params: List[Tensor],
hparams: List[Tenso... | Blackbox-Coresets-VI-main | psvi/hypergrad/hypergradients.py |
# 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 random
import time
import numpy as np
import torch
import torch.distributions as dist
from torch.distributions.no... | Blackbox-Coresets-VI-main | psvi/inference/baselines.py |
# 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.
| Blackbox-Coresets-VI-main | psvi/inference/__init__.py |
# 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.
r"""
Black-box PSVI parent and children classes accessing the dataset via pytorch dataloaders.
"""
import time
import ran... | Blackbox-Coresets-VI-main | psvi/inference/psvi_classes.py |
# 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.distributions as dist
from psvi.models.neural_net import VILinear
from torch.utils.data import D... | Blackbox-Coresets-VI-main | psvi/inference/utils.py |
# 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.
r"""
Incremental variational coreset utilising the PSVI objective
"""
import time
import numpy as np
import torch
im... | Blackbox-Coresets-VI-main | psvi/inference/sparsebbvi.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# 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:/... | Blackbox-Coresets-VI-main | psvi/robust_higher/patch.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# 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:/... | Blackbox-Coresets-VI-main | psvi/robust_higher/__init__.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# 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:/... | Blackbox-Coresets-VI-main | psvi/robust_higher/utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All Rights Reserved.
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# 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:/... | Blackbox-Coresets-VI-main | psvi/robust_higher/optim.py |
#!/usr/bin/env python
# a facade package to expose some useful things
from __future__ import absolute_import, print_function, unicode_literals
from ddlib.util import tsj_extractor,tsv_extractor,over,returns
from collections import OrderedDict
| deepdive-master | ddlib/deepdive.py |
#! /usr/bin/env python
#
# This file contains the generic features library that is included with ddlib.
#
# The three functions that a user should want to use are load_dictionary,
# get_generic_features_mention, and get_generic_features_relation.
# All the rest should be considered more or less private, except perhaps ... | deepdive-master | ddlib/ddlib/gen_feats.py |
from collections import namedtuple,OrderedDict
import re
import sys
from inspect import isgeneratorfunction,getargspec
import csv
from io import StringIO
from datetime import datetime
import json
def print_error(err_string):
"""Function to write to stderr"""
sys.stderr.write("ERROR[UDF]: " + str(err_string) + "\n"... | deepdive-master | ddlib/ddlib/util.py |
from .dd import *
from .gen_feats import *
from .util import *
| deepdive-master | ddlib/ddlib/__init__.py |
import sys
import collections
Word = collections.namedtuple('Word', ['begin_char_offset', 'end_char_offset', 'word', 'lemma', 'pos', 'ner', 'dep_par', 'dep_label'])
Span = collections.namedtuple('Span', ['begin_word_id', 'length'])
Sequence = collections.namedtuple('Sequence', ['is_inversed', 'elements'])
DepEdge = co... | deepdive-master | ddlib/ddlib/dd.py |
#!/usr/bin/env python
# an identity UDF for Nasty TSJ input/output
# for testing @tsj_extractor parser and formatter
from deepdive import *
def identity_for_nasty_tsj(
v1 = "text",
v2 = "float",
v3 = "boolean",
v4 = "boolean",
v5 = "text",
v6 = "text",
v7 = "text... | deepdive-master | ddlib/test/tsj_extractor_identity_udf.py |
#! /usr/bin/env python
# File: udf/ext_has_spouse_features.py
import sys, json
import ddlib
def my_dep_format_parser(s):
parent, label, child = s.split('\t')
return (int(parent)-1, label, int(child)-1)
for row in sys.stdin:
obj = json.loads(row)
words = list(ddlib.unpack_words(obj,... | deepdive-master | ddlib/test/test_dep.py |
#!/usr/bin/env python
# an identity UDF for Nasty TSV input/output
# for testing @tsv_extractor parser and formatter
from __future__ import print_function
from deepdive import *
def identity_for_nasty_tsv(
v1 = "text",
v2 = "float",
v3 = "boolean",
v4 = "boolean",
v5 = "text",
... | deepdive-master | ddlib/test/tsv_extractor_identity_udf.py |
#! /usr/bin/env python
import unittest
import ddlib as dd
class TestDDLib(unittest.TestCase):
def setUp(self):
self.words = ["Tanja", "married", "Jake", "five", "years", "ago"]
self.lemma = ["Tanja", "marry", "Jake", "five", "years", "ago"]
def test_materialize_span(self):
span1 = dd.Span(0, 3)
... | deepdive-master | ddlib/test/test.py |
#! /usr/bin/env python
# File: udf/ext_has_spouse_features.py
import sys, json
import ddlib
# For each input tuple
# TODO: Sample Data and the input schema.
# sample json
for row in sys.stdin:
# Unpack input into tuples.
#
obj = json.loads(row)
words, lemmas = obj["words"], obj["lemma"]
span1 = ddlib.Span(... | deepdive-master | ddlib/test/with_ddlib.py |
#! /usr/bin/env python
# File: udf/ext_has_spouse_features.py
import sys, json
# For each input tuple
# TODO: Sample Data and the input schema.
# sample json
for row in sys.stdin:
obj = json.loads(row)
# Library/DSL??? This is a span, it should be an object.
p1_start = obj["p1.start_position"]
p1_length = o... | deepdive-master | ddlib/test/without_ddlib.py |
#! /usr/bin/env python
# Usage: calibration.py [target/calibration_data_file.csv] [output_file.png]
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
CALIBRATION_FILE = sys.argv[1]
OUT_IMG_FILE = sys.argv[2]
labels = []
counts = []
prec = []
counts_train = []
for ... | deepdive-master | util/calibration.py |
#!/usr/bin/env python
from deepdive import *
@tsv_extractor
@returns(lambda
column1 = "text",
column2 = "int",
column3 = "float",
:[])
def my_udf(
column1 = "text",
column2 = "int",
column3 = "float",
):
yield [
column1,
column2,
column3,
... | deepdive-master | examples/template/udf/extractor_template.py |
import os,sys # needed by most
import random # random
import yaml # yaml parsing
import pprint # pretty print
if __name__ == "__main__":
inpath = 'f52-c3-m1011/'
outpath = ''
# ...
if len(sys.argv) == 3:
inpath = sys.argv[1]
num = int(sys.argv[2])
else:
print 'Usage:',sys.argv[0],'<pat... | deepdive-master | examples/ocr/input/raw/real2bool-feature.py |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os,sys # needed by most
import random # random
import yaml # yaml parsing
import pprint # pretty print
dirbase = 'boolean-f52-c3-m620/'
ids = [f.rstrip('.features.txt') for f in os.listdir(dirbase) if f.endswith('.features.txt')]
print 'Process files:', ids
... | deepdive-master | examples/ocr/input/raw/gen_feature_table.py |
#!/usr/bin/env python
from deepdive import *
import ddlib
@tsj_extractor
@returns(lambda
p1_id = "text",
p2_id = "text",
feature = "text",
:[])
def extract(
p1_id = "text",
p2_id = "text",
p1_begin_index = "int",
p1_end_index = "int",
... | deepdive-master | examples/spouse/udf/extract_spouse_features.py |
#!/usr/bin/env python
from deepdive import *
# for python 3 compatibility
try:
xrange
except NameError:
xrange = range
@tsj_extractor
@returns(lambda
mention_id = "text",
mention_text = "text",
doc_id = "text",
sentence_index = "int",
begin_index ... | deepdive-master | examples/spouse/udf/map_person_mention.py |
#!/usr/bin/env python
from deepdive import *
import random
from collections import namedtuple
SpouseLabel = namedtuple('SpouseLabel', 'p1_id, p2_id, label, type')
@tsj_extractor
@returns(lambda
p1_id = "text",
p2_id = "text",
label = "int",
rule_id = "text",
:[])
# heuristic ... | deepdive-master | examples/spouse/udf/supervise_spouse.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
# The script to randomly split a dataset for hyperparameter tunning
import os
from absl import app
from absl import flags
import pdb
from datasets import load_dataset, concatenate_datasets
FLAGS = flags.FLAGS
flags.DEFINE_string("input", "", "Inp... | CompGenRep_MLRC2022-main | split_dataset_for_hp.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
# This file include utility functions to compute stats given a dataset
import re
import os
import csv
import pdb
from prettytable import PrettyTable
from torchaudio.functional import edit_distance
from transformers import AutoTokenizer
from utils... | CompGenRep_MLRC2022-main | utils/dataset_stat.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
import os
BASE_DIR = os.environ.get('BASE_DIR')
MODEL_DIR = os.path.join(BASE_DIR, 'trained_models/')
TMCD_MODEL_DIR = os.path.join(BASE_DIR, 'baseline_replication/TMCD/trained_models/')
DATA_DIR = os.path.join(BASE_DIR, 'data/')
TMCD_DATA_DIR =... | CompGenRep_MLRC2022-main | utils/constants.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
import os
import json
from constants import TMCD_DATASETS, TMCD_MODEL_DIR, MODEL_DIR
def load_training_curve_info(model_name, dataset, split, checkpoint=None):
"""
Returns steps [list], ems [list], best_em float
"""
ems = []
s... | CompGenRep_MLRC2022-main | utils/analysis_utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
import os
import re
from datasets import load_dataset
base_dir = os.environ['BASE_DIR']
def load_dataset_with_name(dataset_name, split):
"""
Take a dataset name and split name, load the dataset.
Returns a huggingface dataset dict.
... | CompGenRep_MLRC2022-main | utils/helper_utils/helper_methods.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
import logging
import os
import re
import sys
import json
import torch
from dataclasses import dataclass, field
from typing import List, Optional, Tuple
import pdb
import datasets
from datasets import load_dataset, load_metric
from ast import lite... | CompGenRep_MLRC2022-main | hf_training/fine_tune_t5.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use... | CompGenRep_MLRC2022-main | hf_training/trainer_seq2seq_sp.py |
#!/usr/bin496/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
import sys
import os
import time
import argparse
import json
import random
import shutil
import copy
import pickle
import torch
from torch import cuda
import numpy as np
import time
import logging
from tokenizer import To... | CompGenRep_MLRC2022-main | baseline_replication/neural-qcfg/train_scan.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
### Convert tsv data to csv format for transformers training
import re
from absl import app
from absl import flags
FLAGS = flags.FLAGS
flags.DEFINE_string("tsv", "", "Input tsv file.")
flags.DEFINE_string("output", "", "Output tsv file.")
def... | CompGenRep_MLRC2022-main | baseline_replication/COGS/convert_to_nqg_format.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
### Convert tsv data to csv format for transformers training
import re
from absl import app
from absl import flags
FLAGS = flags.FLAGS
flags.DEFINE_string("tsv", "", "Input tsv file.")
flags.DEFINE_string("csv", "", "Output csv file.")
def ma... | CompGenRep_MLRC2022-main | baseline_replication/COGS/convert_to_csv.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
### Convert tsv data to csv format for transformers training
import re
from absl import app
from absl import flags
FLAGS = flags.FLAGS
flags.DEFINE_string("tsv", "", "Input tsv file.")
flags.DEFINE_string("csv", "", "Output csv file.")
def ma... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/convert_to_csv.py |
CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/__init__.py | |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/strip_targets.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/split_dataset.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/tsv_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/scan/convert_to_tsv.py |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ht... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/scan/preprocess_main.py |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ht... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/scan/preprocess.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/scan/join_txt_to_tsv.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/sql_parser_main.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/nqg_preprocess.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
################################
# val: number(float)/string(str)/sql(dict)
# col_unit: (agg_id, col_id, isDistinct(bool))
# val_unit: (unit_op, col_unit1, col_unit2)
# table_unit: (table_type, col_unit/sql)
# cond_unit: (not_op, op_id, val_unit, v... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/evaluation.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/restore_oov.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/write_dataset.py |
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
################################
# Assumptions:
# 1. sql is correct
# 2. only table name has alias
# 3. only one intersect/union/except
#
# val: number(float)/string(str)/sql(dict)
# col_unit: (agg_id, col_id, isDistinct(bool))
# val_unit: (u... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/process_sql.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/nqg_tokenization.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/sql_tokenizer.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/append_schema.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/generate_gold.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/spider/database_constants.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/geobase_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/gen_template_split.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/tmcd_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/measure_unseen_atoms.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/write_dataset.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/xml_file_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/measure_compound_divergence.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/entity_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/funql_normalization.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/tasks/geoquery/gen_tmcd_split.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/common/cky/cfg_parser.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/common/cky/cky_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/common/cky/cfg_rule.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/common/cky/trie_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/test_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/nqg_model.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/config_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/training/train_model.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/training/forest_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/training/training_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/training/input_utils.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/inference/inference_parser.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/inference/generate_predictions.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/inference/inference_wrapper.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# Copyright (c) Meta Platforms, Inc. and affiliates All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | CompGenRep_MLRC2022-main | baseline_replication/TMCD/model/parser/inference/eval_model.py |
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