python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) 2019-present, Facebook, Inc.
# 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 re
import tokenize
import typing as tp
from io import BytesIO
import black # type: ignore
from codegen_sources.preproc... | CodeGen-main | codegen_sources/preprocessing/lang_processors/python_processor.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 re
from pathlib import Path
from .java_processor import JAVA_CHAR2TOKEN, JAVA_TOKEN2CHAR
from .tokenization_utils import... | CodeGen-main | codegen_sources/preprocessing/lang_processors/rust_processor.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 re
from .lang_processor import LangProcessor, NEWLINE_TOK
IR_LANGUAGE_NAME = "ir"
class IRProcessor(LangProcessor):
... | CodeGen-main | codegen_sources/preprocessing/lang_processors/ir_processor.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 .lang_processor import LangProcessor as LangProcessor # for explicit reimport
from .tree_sitter_processor import TREE_SIT... | CodeGen-main | codegen_sources/preprocessing/lang_processors/__init__.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 re
import uuid
import logging
import itertools
import dataclasses
import typing as tp
from pathlib import Path
from io im... | CodeGen-main | codegen_sources/preprocessing/lang_processors/python_tree_sitter_processor.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 re
import subprocess
import uuid
from pathlib import Path
import typing as tp
import codegen_sources
from ... | CodeGen-main | codegen_sources/preprocessing/lang_processors/java_processor.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 typing as tp
from codegen_sources.model.src.data.dictionary import (
OBF,
OBFS,
)
def obfuscation_tokens(rais... | CodeGen-main | codegen_sources/preprocessing/lang_processors/utils.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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
import typing as tp
NEWLINE_TOK = "NEW_LINE" # different name to avoid confusions by the tokenizer
clas... | CodeGen-main | codegen_sources/preprocessing/lang_processors/lang_processor.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 re
from pathlib import Path
from .java_processor import JAVA_CHAR2TOKEN, JAVA_TOKEN2CHAR
from .tokenization_utils import... | CodeGen-main | codegen_sources/preprocessing/lang_processors/go_processor.py |
CodeGen-main | codegen_sources/test_generation/__init__.py | |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Translate sentences from the input stream.
# The model will be faster is sentences are sorted by length.
# Input sentences mus... | CodeGen-main | codegen_sources/test_generation/select_java_inputs.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Translate sentences from the input stream.
# The model will be faster is sentences are sorted by length.
# Input sentences mus... | CodeGen-main | codegen_sources/test_generation/utils.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
import argparse
import pickle
from concurrent.futures.process import ProcessPoolExecutor
from itertools import repeat... | CodeGen-main | codegen_sources/test_generation/compute_test_results.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 math
import os
import sys
import subprocess
import typing as tp
from concurrent.futures.thread import ThreadPoolExecutor
... | CodeGen-main | codegen_sources/test_generation/create_tests.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 fastBPE
import torch
from pathlib import Path
import pandas as pd
INITIAL_CACHE_FOLDER = "initial_cach... | CodeGen-main | codegen_sources/test_generation/create_data_for_online_st.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
import argparse
from itertools import repeat
from logging import getLogger
from pathlib import Path
import pandas as... | CodeGen-main | codegen_sources/test_generation/compute_transcoder_translations.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Translate sentences from the input stream.
# The model will be faster is sentences are sorted by length.
# Input sentences mus... | CodeGen-main | codegen_sources/test_generation/select_successful_tests.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Translate sentences from the input stream.
# The model will be faster is sentences are sorted by length.
# Input sentences mus... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/evosuite_translator.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Translate sentences from the input stream.
# The model will be faster is sentences are sorted by length.
# Input sentences mus... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/evosuite_to_python.py |
CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/__init__.py | |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Translate sentences from the input stream.
# The model will be faster is sentences are sorted by length.
# Input sentences mus... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/evosuite_to_cpp.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 difflib
from pathlib import Path
from codegen_sources.preprocessing.lang_processors.python_processor import apply_black
... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/test_utils.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 .test_utils import read_inputs, translation_testing
from ..evosuite_to_python import EvosuiteToPython
ARRAYS = ["integer_... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/test_evosuite_to_python_translator.py |
CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/__init__.py | |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 .test_utils import read_inputs, translation_testing
from ..evosuite_to_cpp import EvosuiteToCpp
ARRAYS = ["integer_array_... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/test_evosuite_to_cpp_translator.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class CLASS_9167f62308cfc555ab31a6e4dcdcc95ca2bdcab48016d16bd5b42146ef1977eb(
unittest.TestCase
):
def test0(self):
float0 = ... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/floats.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class CLASS_196a45f8932c033f06f6a086488b268404e77353d16c9bc6407a417f237da6db(
unittest.TestCase
):
def test3(self):
int0 = f_... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/integer_array_casting.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class CLASS_db35bde703321c750c7134d5769b704c9ab7f9841c6654abb814683a361f9de1(
unittest.TestCase
):
def test0(self):
arrayList... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/java_list.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class CLASS_4819651a89a417bce7b2158d1101004f26892e6022f6d1e6348175e23666ec38(
unittest.TestCase
):
def test0(self):
double0 =... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/doubles.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class CLASS_c2a773c670339b0d7be430a133f7f597ae56ad8ebb7f7209c0fe9edbd248fd04(
unittest.TestCase
):
def test2(self):
boolean0 ... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/strings_null_casting.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class CLASS_27c05c7602b81c3bcf7ac99abf940ebc4c909da67935bb59bc30e51ac3933ace(
unittest.TestCase
):
def test1(self):
string0 =... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/strings.py |
import numpy as np
import math
from math import *
import collections
from collections import *
import heapq
import itertools
import random
import sys
import unittest
# TOFILL
class PERMUTE_TWO_ARRAYS_SUM_EVERY_PAIR_GREATER_EQUAL_K(unittest.TestCase):
def test0(self):
integerArray0 = [None] * 2
i... | CodeGen-main | codegen_sources/test_generation/evosuite_tests_translators/tests/resources/expected_python_translations/integer_array_check.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 setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.set... | dadaptation-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.
import math
from typing import TYPE_CHECKING, Any, Callable, Optional
import torch
import torch.optim
import pdb
import... | dadaptation-main | dadaptation/dadapt_adam.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 .dadapt_adagrad import DAdaptAdaGrad
from .dadapt_adam import DAdaptAdam
from .dadapt_sgd import DAdaptSGD
from .da... | dadaptation-main | dadaptation/__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 torch
import torch.optim
import pdb
import math
import logging
import torch.distributed as dist
class DAdaptSGD(... | dadaptation-main | dadaptation/dadapt_sgd.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 math
from typing import TYPE_CHECKING, Any, Callable, Optional
import torch
import torch.optim
import pdb
import... | dadaptation-main | dadaptation/dadapt_adagrad.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 typing import Tuple, Optional, Callable
import torch
from torch.optim.optimizer import Optimizer
import torch.dist... | dadaptation-main | dadaptation/dadapt_lion.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 typing import TYPE_CHECKING, Any
import torch
import torch.optim
if TYPE_CHECKING:
from torch.optim.optimizer... | dadaptation-main | dadaptation/dadapt_adan.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 .dadapt_adan_ip import DAdaptAdanIP
from .dadapt_adam_preprint import DAdaptAdamPreprint
| dadaptation-main | dadaptation/experimental/__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 math
from typing import TYPE_CHECKING, Any, Callable, Optional
import torch
import torch.optim
import pdb
import... | dadaptation-main | dadaptation/experimental/dadapt_adan_ip.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 math
from typing import TYPE_CHECKING, Any, Callable, Optional
import torch
import torch.optim
import pdb
import... | dadaptation-main | dadaptation/experimental/dadapt_adam_preprint.py |
# 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 sys
sys.path.insert(0, './pytorch-seq2seq/')
from seq2seq.models import EncoderRNN
from seq2seq.loss import Perpl... | brica-master | train.py |
# 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 random
from torch.distributions import Categorical
import torch.nn.functional as F
from seq2se... | brica-master | t2s/sampling_decoder.py |
# 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 torch
import torch.nn as nn
import torch.nn.functional as F
class Seq2seq(nn.Module):
def __init__(self, enc... | brica-master | t2s/s2s.py |
# 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 torch
import itertools
import random
import json
def repeat_explode(input, input_length, n_times):
"""
>... | brica-master | t2s/util.py |
# 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 torch
import torch.nn as nn
class T2S(nn.Module):
def __init__(self, A1, A2):
super(T2S, self).__ini... | brica-master | t2s/t2s.py |
# 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 .s2s import Seq2seq
from .t2s import T2S
from .util import dump_agent
from .sampling_decoder import SamplingDecoderR... | brica-master | t2s/__init__.py |
# 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 .poly_evaluator import PolyEvaluator
| brica-master | t2s/evaluator/__init__.py |
# 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 __future__ import print_function, division
from ..util import repeat_explode, pretrain_explode
from seq2seq.loss im... | brica-master | t2s/evaluator/poly_evaluator.py |
# 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 .mirror_trainer import MirrorTrainer
| brica-master | t2s/trainer/__init__.py |
# 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 __future__ import division
import torch
from seq2seq.loss import NLLLoss
from ..evaluator import PolyEvaluator
fro... | brica-master | t2s/trainer/mirror_trainer.py |
# 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.
#
class EarlyStopping_NoImprovement(object):
def __init__(self,
min_delta=1e-5,
patie... | brica-master | t2s/trainer/early_stopping.py |
#
# Copyright 2017- IBM Corporation
#
# 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 writ... | brica-master | t2s/trainer/supervised_trainer.py |
#!/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 root directory of this source tree.
from setuptools import find_packages, setup
requirements = [
"torch",
"gpytorch",
"botorch>=0.6",
"s... | bo_pr-main | setup.py |
#!/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 root directory of this source tree.
from __future__ import annotations
from typing import List, Optional, Tuple
import torch
from statsmodels.distribut... | bo_pr-main | discrete_mixed_bo/model_utils.py |
#!/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 root directory of this source tree.
r"""
Methods for optimizing acquisition functions.
This is a copy of botorch.optim.optimize.py that uses the custom
... | bo_pr-main | discrete_mixed_bo/optimize.py |
#!/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 root directory of this source tree.
"""Utilities for running experiments."""
from collections import OrderedDict
from copy import deepcopy
from itertools... | bo_pr-main | discrete_mixed_bo/experiment_utils.py |
#!/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 root directory of this source tree.
r"""
A wrapper classes around AquisitionFunctions to modify inputs and outputs.
"""
from __future__ import annotatio... | bo_pr-main | discrete_mixed_bo/wrapper.py |
#!/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 root directory of this source tree.
r"""
Candidate generation utilities.
This is a copy of botorch.gen.py that uses finite differences when
specified.
"... | bo_pr-main | discrete_mixed_bo/gen.py |
#!/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 root directory of this source tree.
r"""
Utilities for random fourier features.
"""
import torch
from botorch.models import ModelListGP, MultiTaskGP
fro... | bo_pr-main | discrete_mixed_bo/rffs.py |
#!/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 root directory of this source tree.
r"""
Straight Through Estimators.
"""
import torch
from torch import Tensor
from torch.autograd import Function
from... | bo_pr-main | discrete_mixed_bo/ste.py |
#!/usr/bin/env python3
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| bo_pr-main | discrete_mixed_bo/__init__.py |
#!/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 root directory of this source tree.
r"""
Run one replication.
"""
import gc
from time import time
from typing import Callable, Dict, List, Optional
impo... | bo_pr-main | discrete_mixed_bo/run_one_replication.py |
#!/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 root directory of this source tree.
r"""
A copy of botorch.optim.initializers that support vector-valued sigma
for the sample_around_best heuristic.
Ref... | bo_pr-main | discrete_mixed_bo/initializers.py |
#!/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 root directory of this source tree.
from abc import abstractmethod
from dataclasses import dataclass
from typing import Callable, Dict, List, Optional
i... | bo_pr-main | discrete_mixed_bo/input.py |
#!/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 root directory of this source tree.
from typing import Dict, List, Optional
import numpy as np
import torch
from botorch.models.kernels import Categoric... | bo_pr-main | discrete_mixed_bo/kernels.py |
#!/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 root directory of this source tree.
r"""
Trust Region Utilities.
"""
import math
from dataclasses import dataclass
import torch
@dataclass
class Turbo... | bo_pr-main | discrete_mixed_bo/trust_region.py |
#!/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 root directory of this source tree.
r"""
Probabilistic Reparameterization (with gradients) using Monte Carlo estimators.
"""
from abc import ABC, abstra... | bo_pr-main | discrete_mixed_bo/probabilistic_reparameterization.py |
#!/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 root directory of this source tree.
"""
Problems with only binary variables.
"""
from typing import Optional
import numpy as np
import torch
from torch ... | bo_pr-main | discrete_mixed_bo/problems/binary.py |
#!/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 root directory of this source tree.
import logging
import os
import pickle
import random
import sys
from itertools import product
from logging import Lo... | bo_pr-main | discrete_mixed_bo/problems/nashpobench2.py |
#!/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 root directory of this source tree.
"""
Problems mixed integer continuous search spaces.
References
.. [Hansen2019]
N. Hansen, D. Brockhoff, O. Mer... | bo_pr-main | discrete_mixed_bo/problems/coco_mixed_integer.py |
#!/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 root directory of this source tree.
"""
Problems with only binary variables.
"""
from collections import OrderedDict
from typing import Optional
import ... | bo_pr-main | discrete_mixed_bo/problems/pest.py |
#!/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 root directory of this source tree.
"""
Environmental model calibration problem from:
https://github.com/aryandeshwal/HyBO/blob/master/experiments/test_f... | bo_pr-main | discrete_mixed_bo/problems/environmental.py |
#!/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 root directory of this source tree.
| bo_pr-main | discrete_mixed_bo/problems/__init__.py |
#!/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 root directory of this source tree.
"""
3-Objective Electrospun Oil Sorbent optimization problem
References
.. [Wang2020]
B. Wang, J. Cai, C. Liu, ... | bo_pr-main | discrete_mixed_bo/problems/oil_sorbent.py |
#!/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 root directory of this source tree.
"""
Welded Beam problem from https://link.springer.com/content/pdf/10.1007/s00158-018-2182-1.pdf
"""
from copy import... | bo_pr-main | discrete_mixed_bo/problems/welded_beam.py |
#!/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 root directory of this source tree.
import os
from math import exp, log
from typing import Dict, Optional
import numpy as np
import pandas as pd
import ... | bo_pr-main | discrete_mixed_bo/problems/xgboost_hp.py |
#!/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 root directory of this source tree.
import os
from typing import Any, Dict, Optional, Tuple
import gpytorch.settings as gpt_settings
import numpy as np
... | bo_pr-main | discrete_mixed_bo/problems/chemistry.py |
#!/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 root directory of this source tree.
import math
from typing import Optional, Tuple
import numpy as np
import torch
from sklearn.svm import SVR
from torc... | bo_pr-main | discrete_mixed_bo/problems/svm.py |
#!/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 root directory of this source tree.
"""
Problems with only binary variables.
"""
from math import pi
from typing import Optional, Tuple
import numpy as ... | bo_pr-main | discrete_mixed_bo/problems/re_problems.py |
#!/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 root directory of this source tree.
from collections import OrderedDict
from typing import Dict, List, Optional
import torch
from botorch.test_functions... | bo_pr-main | discrete_mixed_bo/problems/base.py |
#!/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 root directory of this source tree.
from typing import Tuple, Union
import numpy as np
"""
Problem formulation for the RF Coverage and Capacity Optim... | bo_pr-main | discrete_mixed_bo/problems/cco/problem_formulation.py |
#!/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 root directory of this source tree.
| bo_pr-main | discrete_mixed_bo/problems/cco/__init__.py |
#!/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 root directory of this source tree.
import bisect
import glob
import logging
import os
import re
from dataclasses import dataclass
from typing import An... | bo_pr-main | discrete_mixed_bo/problems/cco/simulated_rsrp.py |
#!/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 root directory of this source tree.
"""Coverage and Capacity optimization for Cell networks.
Code from: https://github.com/Ryandry1st/CCO-in-ORAN/tree/m... | bo_pr-main | discrete_mixed_bo/problems/cco/cco.py |
#!/usr/bin/env python3
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| bo_pr-main | experiments/__init__.py |
#!/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 root directory of this source tree.
r"""
The main script for running a single replication.
"""
import errno
import json
import os
import sys
from typing ... | bo_pr-main | experiments/main.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
from configs import Config
########### running ###########
# torchrun --nproc_per_node=8 main.py <config>
def eval_yfcc15m_in1k_mocob16():
return Config(
output_dir="yfcc15m_in1k_mocob16",
eval=True,
resume="chec... | CiT-main | run_configs.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
import os
import inspect
from collections import OrderedDict
class Config:
dataset = "yfcc15m_tag"
root = "data/yfcc15m"
metadata = "data/yfcc15m/yfcc15m_w_tag.pkl"
# data adaptation
val_task = "imagenet"
max_sample ... | CiT-main | configs.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
import torch
from transformers import VisionTextDualEncoderModel
class CiTCLIPVisionTextDualEncoderModel(VisionTextDualEncoderModel):
'''a hf model wrapper to support forward with either or both image/text.
note that HF impl. uses a... | CiT-main | models_citclip.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.
# --------------------------------------------------------
# A script to run multinode training with submitit.
# ----------... | CiT-main | submitit_citclip.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.
# --------------------------------------------------------
# References:
# DeiT: https://github.com/facebookresearch/deit
#... | CiT-main | engine.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
"""
pre-configed sweeps.
"""
import json
class alltask_5k_mr005:
batch_size = [1536], "bsz"
max_update = [5000], "s"
refilter = [100], "refilter"
prefilter = [0.45], ""
min_ratio = [0.05], "r"
sublist = [True], ""
... | CiT-main | sweeps.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.
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.functional as ... | CiT-main | losses.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.
# --------------------------------------------------------
# References:
# DeiT: https://github.com/facebookresearch/deit
#... | CiT-main | main.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
"""
pre-configed trainable weights.
"""
pre_projection_weights = ['logit_scale', 'visual_projection.weight', 'text_projection.weight']
# TODO: unify layer selection for all models.
pre_vision_trainable_weights = {
"moco": {
"hea... | CiT-main | weights.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.
# --------------------------------------------------------
# References:
# DeiT: https://github.com/facebookresearch/deit
#... | CiT-main | util/misc.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.
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import math
def adjust_step_learning_rate(optimizer, step, lr, ... | CiT-main | util/lr_sched.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
import torch
from transformers import (
PreTrainedModel,
PretrainedConfig,
AutoConfig,
AutoModel,
)
from transformers.modeling_outputs import BaseModelOutputWithPooling
import timm
assert timm.__version__ >= "0.4.12", "make ... | CiT-main | hfmodels/augreg.py |
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