text stringlengths 5 22M | id stringlengths 12 177 | metadata dict | __index_level_0__ int64 0 1.37k |
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#include <ATen/ATen.h>
#include <THC/THCAtomics.cuh>
#define CUDA_1D_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < n; \
i += blockDim.x * gridDim.x)
#define THREADS_PER_BLOCK 1024
inline int GET_BLOCKS(const int N) {
int optimal_block_num = (N + THR... | Cream/CDARTS/CDARTS_detection/mmdet/ops/roi_pool/src/roi_pool_kernel.cu/0 | {
"file_path": "Cream/CDARTS/CDARTS_detection/mmdet/ops/roi_pool/src/roi_pool_kernel.cu",
"repo_id": "Cream",
"token_count": 3271
} | 300 |
# -*- coding: utf-8 -*-
"""
This module defines the :class:`NiceRepr` mixin class, which defines a
``__repr__`` and ``__str__`` method that only depend on a custom ``__nice__``
method, which you must define. This means you only have to overload one
function instead of two. Furthermore, if the object defines a ``__len_... | Cream/CDARTS/CDARTS_detection/mmdet/utils/util_mixins.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_detection/mmdet/utils/util_mixins.py",
"repo_id": "Cream",
"token_count": 1532
} | 301 |
json_file: "jsons/big4.json"
data_path: "../DATASET/ADEChallengeData2016/"
dataset: "coco"
det2_cfg: "configs/ADE20K/base.yaml"
num_classes: 150
max_iteration: 160000
seed: 12345
random_sample: False
eval_flag: True
opt: "sgd"
opt_eps: 0.001
sched: "new" #"raw for original"
epochs: 1000
drop_path_prob: 0.2
image_height... | Cream/CDARTS/CDARTS_segmentation/configs/ade/cydas.yaml/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/configs/ade/cydas.yaml",
"repo_id": "Cream",
"token_count": 313
} | 302 |
# ------------------------------------------------------------------------------
# Loads COCO panoptic dataset.
# Written by Bowen Cheng (bcheng9@illinois.edu)
# ------------------------------------------------------------------------------
import json
import os
import numpy as np
from .base_dataset import BaseDatas... | Cream/CDARTS/CDARTS_segmentation/dataloaders/segdatasets/coco_panoptic.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/dataloaders/segdatasets/coco_panoptic.py",
"repo_id": "Cream",
"token_count": 7871
} | 303 |
from .build import build_segmentation_model_from_cfg
| Cream/CDARTS/CDARTS_segmentation/segmentation/model/__init__.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/segmentation/model/__init__.py",
"repo_id": "Cream",
"token_count": 16
} | 304 |
from .deeplabv3 import DeepLabV3
from .deeplabv3plus import DeepLabV3Plus
from .panoptic_deeplab import PanopticDeepLab
| Cream/CDARTS/CDARTS_segmentation/segmentation/model/meta_arch/__init__.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/segmentation/model/meta_arch/__init__.py",
"repo_id": "Cream",
"token_count": 47
} | 305 |
# ------------------------------------------------------------------------------
# Reference: https://github.com/facebookresearch/detectron2/blob/master/detectron2/utils/env.py#L15
# Modified by Bowen Cheng (bcheng9@illinois.edu)
# ------------------------------------------------------------------------------
import i... | Cream/CDARTS/CDARTS_segmentation/segmentation/utils/env.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/segmentation/utils/env.py",
"repo_id": "Cream",
"token_count": 382
} | 306 |
import cv2
import numpy as np
import numbers
import random
import collections
def get_2dshape(shape, *, zero=True):
if not isinstance(shape, collections.Iterable):
shape = int(shape)
shape = (shape, shape)
else:
h, w = map(int, shape)
shape = (h, w)
if zero:
minv = ... | Cream/CDARTS/CDARTS_segmentation/tools/utils/img_utils.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/tools/utils/img_utils.py",
"repo_id": "Cream",
"token_count": 2324
} | 307 |
import torch.nn as nn
from pdb import set_trace as bp
from layers import NaiveSyncBatchNorm
BatchNorm2d = NaiveSyncBatchNorm
def make_divisible(v, divisor=8, min_value=1):
"""
forked from slim:
https://github.com/tensorflow/models/blob/\
0344c5503ee55e24f0de7f37336a6e08f10976fd/\
research/slim/net... | Cream/CDARTS/CDARTS_segmentation/train/slimmable_ops.py/0 | {
"file_path": "Cream/CDARTS/CDARTS_segmentation/train/slimmable_ops.py",
"repo_id": "Cream",
"token_count": 1311
} | 308 |
""" Utilities """
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import logging
import shutil
import torch
import torch.distributed as dist
import numpy as np
def distill(result):
result = result.split('\n')
cifar10 = result[5].replace(' ', '').split(':')
cifar100 = result[7].... | Cream/CDARTS/benchmark201/utils/utils.py/0 | {
"file_path": "Cream/CDARTS/benchmark201/utils/utils.py",
"repo_id": "Cream",
"token_count": 1967
} | 309 |
import torch.nn as nn
from lib.models import ops
class ModelAug(nn.Module):
def __init__(self, feature_extractor, nas_layers, fc_layer, n_nodes=4, aux_head=None):
"""
args:
"""
super(ModelAug, self).__init__()
self.feature_extractor = feature_extractor
self.nas_l... | Cream/CDARTS/lib/models/model_augment.py/0 | {
"file_path": "Cream/CDARTS/lib/models/model_augment.py",
"repo_id": "Cream",
"token_count": 898
} | 310 |
AUTO_RESUME: False
DATA_DIR: './data/imagenet'
MODEL: '112m_retrain'
RESUME_PATH: './experiments/workspace/retrain/resume.pth.tar'
SAVE_PATH: './experiments/workspace/retrain'
SEED: 42
LOG_INTERVAL: 50
RECOVERY_INTERVAL: 0
WORKERS: 8
NUM_GPU: 8
SAVE_IMAGES: False
AMP: False
OUTPUT: 'None'
EVAL_METRICS: 'prec1'
TTA: 0
L... | Cream/Cream/experiments/configs/retrain/114.yaml/0 | {
"file_path": "Cream/Cream/experiments/configs/retrain/114.yaml",
"repo_id": "Cream",
"token_count": 442
} | 311 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# Written by Hao Du and Houwen Peng
# email: haodu8-c@my.cityu.edu.hk and houwen.peng@microsoft.com
import time
import torch
from collections import OrderedDict
from lib.utils.util import AverageMeter, accuracy, reduce_tensor
# validate functio... | Cream/Cream/lib/core/test.py/0 | {
"file_path": "Cream/Cream/lib/core/test.py",
"repo_id": "Cream",
"token_count": 1762
} | 312 |
yacs
numpy==1.17
opencv-python==4.0.1.24
torchvision==0.2.1
thop
git+https://github.com/sovrasov/flops-counter.pytorch.git
pillow==6.1.0
torch==1.2
timm==0.1.20
tensorboardx==1.2
tensorboard
future | Cream/Cream/requirements/0 | {
"file_path": "Cream/Cream/requirements",
"repo_id": "Cream",
"token_count": 98
} | 313 |
# --------------------------------------------------------
# EfficientViT Model Architecture for Downstream Tasks
# Copyright (c) 2022 Microsoft
# Written by: Xinyu Liu
# --------------------------------------------------------
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkp... | Cream/EfficientViT/downstream/efficientvit.py/0 | {
"file_path": "Cream/EfficientViT/downstream/efficientvit.py",
"repo_id": "Cream",
"token_count": 10995
} | 314 |
import os
import json
from torchvision import datasets, transforms
from torchvision.datasets.folder import ImageFolder, default_loader
from timm.data.constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
from timm.data import create_transform
class INatDataset(ImageFolder):
def __init__(self, root, train... | Cream/MiniViT/Mini-DeiT/datasets.py/0 | {
"file_path": "Cream/MiniViT/Mini-DeiT/datasets.py",
"repo_id": "Cream",
"token_count": 1890
} | 315 |
import torch
class SubsetRandomSampler(torch.utils.data.Sampler):
r"""Samples elements randomly from a given list of indices, without replacement.
Arguments:
indices (sequence): a sequence of indices
"""
def __init__(self, indices):
self.epoch = 0
self.indices = indices
... | Cream/MiniViT/Mini-Swin/data/samplers.py/0 | {
"file_path": "Cream/MiniViT/Mini-Swin/data/samplers.py",
"repo_id": "Cream",
"token_count": 209
} | 316 |
# MiniViT: Compressing Vision Transformers with Weight Multiplexing
:sunny: Hiring research interns for neural architecture search, tiny transformer design, model compression projects: houwen.peng@microsoft.com.
**This is an official implementation of [MiniViT](https://openaccess.thecvf.com/content/CVPR2022/html/Zhan... | Cream/MiniViT/README.md/0 | {
"file_path": "Cream/MiniViT/README.md",
"repo_id": "Cream",
"token_count": 1700
} | 317 |
""" CLIP Model
Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI.
"""
import functools
import inspect
from copy import deepcopy
import os
import random
import copy
from contextlib import nullcontext
from argparse import Namespace
from dataclasses import dataclass
import f... | Cream/TinyCLIP/src/open_clip/model.py/0 | {
"file_path": "Cream/TinyCLIP/src/open_clip/model.py",
"repo_id": "Cream",
"token_count": 27603
} | 318 |
from itertools import repeat
import collections.abc
from torch import nn as nn
from torchvision.ops.misc import FrozenBatchNorm2d
def freeze_batch_norm_2d(module, module_match={}, name=''):
"""
Converts all `BatchNorm2d` and `SyncBatchNorm` layers of provided module into `FrozenBatchNorm2d`. If `module` is
... | Cream/TinyCLIP/src/open_clip/utils.py/0 | {
"file_path": "Cream/TinyCLIP/src/open_clip/utils.py",
"repo_id": "Cream",
"token_count": 950
} | 319 |
import json
import logging
import math
import os
import psutil
import functools
import time
from collections import defaultdict
import numpy as np
import torch
from torch import optim
import torch.nn.functional as F
from timm.utils import get_state_dict
from torch.utils.data._utils.collate import default_collate
from ... | Cream/TinyCLIP/src/training/train.py/0 | {
"file_path": "Cream/TinyCLIP/src/training/train.py",
"repo_id": "Cream",
"token_count": 16617
} | 320 |
MODEL:
NAME: TinyViT-11M-22kto1k
TYPE: tiny_vit
DROP_PATH_RATE: 0.0
TINY_VIT:
DEPTHS: [ 2, 2, 6, 2 ]
NUM_HEADS: [ 2, 4, 8, 14 ]
WINDOW_SIZES: [ 7, 7, 14, 7 ]
EMBED_DIMS: [64, 128, 256, 448]
TRAIN:
EPOCHS: 30
WARMUP_EPOCHS: 5
BASE_LR: 2.5e-4
WEIGHT_DECAY: 1e-8
MIN_LR: 1e-5
LAYER_L... | Cream/TinyViT/configs/22kto1k/tiny_vit_11m_22kto1k.yaml/0 | {
"file_path": "Cream/TinyViT/configs/22kto1k/tiny_vit_11m_22kto1k.yaml",
"repo_id": "Cream",
"token_count": 243
} | 321 |
import os
import multiprocessing
import torch
import torch.distributed as dist
import numpy as np
from .aug_random import AugRandomContext
from .manager import TxtManager
def get_rank():
if not dist.is_available() or not dist.is_initialized():
return 0
return dist.get_rank()
class DatasetWrapper(tor... | Cream/TinyViT/data/augmentation/dataset_wrapper.py/0 | {
"file_path": "Cream/TinyViT/data/augmentation/dataset_wrapper.py",
"repo_id": "Cream",
"token_count": 1448
} | 322 |
""" Tensorflow Preprocessing Adapter
Allows use of Tensorflow preprocessing pipeline in PyTorch Transform
Copyright of original Tensorflow code below.
Hacked together by / Copyright 2020 Ross Wightman
"""
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.... | Cream/TinyViT/data/augmentation/tf_preprocessing.py/0 | {
"file_path": "Cream/TinyViT/data/augmentation/tf_preprocessing.py",
"repo_id": "Cream",
"token_count": 3751
} | 323 |
from .build import build_model
| Cream/TinyViT/models/__init__.py/0 | {
"file_path": "Cream/TinyViT/models/__init__.py",
"repo_id": "Cream",
"token_count": 8
} | 324 |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
COCO dataset which returns image_id for evaluation.
Mostly copy-paste from https://github.com/pytorch/vision/blob/13b35ff/references/detection/coco_utils.py
"""
from pathlib import Path
from typing import List, Any
import torch
import torch.ut... | Cream/iRPE/DETR-with-iRPE/datasets/coco.py/0 | {
"file_path": "Cream/iRPE/DETR-with-iRPE/datasets/coco.py",
"repo_id": "Cream",
"token_count": 3082
} | 325 |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
This file provides the definition of the convolutional heads used to predict masks, as well as the losses
"""
import io
from collections import defaultdict
from typing import List, Optional
import torch
import torch.nn as nn
import torch.nn.fun... | Cream/iRPE/DETR-with-iRPE/models/segmentation.py/0 | {
"file_path": "Cream/iRPE/DETR-with-iRPE/models/segmentation.py",
"repo_id": "Cream",
"token_count": 7422
} | 326 |
from .build import build_dataloader
from .imagenet.real_labels import RealLabelsImagenet
| CvT/lib/dataset/__init__.py/0 | {
"file_path": "CvT/lib/dataset/__init__.py",
"repo_id": "CvT",
"token_count": 29
} | 327 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from datetime import timedelta
from pathlib import Path
import os
import logging
import shutil
import time
import tensorwatch as tw
import torch
import torch.backends.cudnn as cudnn
from utils.comm import co... | CvT/lib/utils/utils.py/0 | {
"file_path": "CvT/lib/utils/utils.py",
"repo_id": "CvT",
"token_count": 3469
} | 328 |
import sys
sys.path.append('../')
import unittest
import numpy as np
import pandas as pd
import shutil
import os
import invoker
class TestErrorInput(unittest.TestCase):
def setUp(self):
self.__input_path = './functional_test_input_folder'
self.__input_csv_file = './functional_test_input_file.csv'... | anomalydetector/aml_component/tests/test_functionality.py/0 | {
"file_path": "anomalydetector/aml_component/tests/test_functionality.py",
"repo_id": "anomalydetector",
"token_count": 5055
} | 329 |
"""
Copyright (C) Microsoft Corporation. All rights reserved.
Microsoft Corporation ("Microsoft") grants you a nonexclusive, perpetual,
royalty-free right to use, copy, and modify the software code provided by us
("Software Code"). You may not sublicense the Software Code or any use of it
(except to your affiliates... | anomalydetector/srcnn/train.py/0 | {
"file_path": "anomalydetector/srcnn/train.py",
"repo_id": "anomalydetector",
"token_count": 1317
} | 330 |
Archai
| archai/.vscode/spellright.dict/0 | {
"file_path": "archai/.vscode/spellright.dict",
"repo_id": "archai",
"token_count": 3
} | 331 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Dict, Union, Optional, Any
from pathlib import Path
from azure.ai.ml import MLClient
from azure.ai.ml.entities import AmlCompute, Environment
from azure.identity import DefaultAzureCredential
def get_aml_client_from_file(conf... | archai/archai/common/azureml_helper.py/0 | {
"file_path": "archai/archai/common/azureml_helper.py",
"repo_id": "archai",
"token_count": 2105
} | 332 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import gc
import timeit
from types import TracebackType
from typing import Optional
class MeasureBlockTime:
"""Context manager that measures the time elapsed in a block of code."""
def __init__(self,... | archai/archai/common/timing.py/0 | {
"file_path": "archai/archai/common/timing.py",
"repo_id": "archai",
"token_count": 559
} | 333 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import glob
import os
from typing import Optional, Tuple
import numpy as np
import torch
from archai.common.file_utils import get_full_path
from archai.common.ordered_dict_logger import OrderedDictLogger
from archai.datasets.nlp.tokenizer_utils... | archai/archai/datasets/nlp/nvidia_dataset_provider_utils.py/0 | {
"file_path": "archai/archai/datasets/nlp/nvidia_dataset_provider_utils.py",
"repo_id": "archai",
"token_count": 4171
} | 334 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Any, Dict, Optional
class ArchaiModel:
"""Model wrapper with an architecture identifier and an optional metadata dictionary."""
def __init__(self, arch: Any, archid: str, metadata: Optional[Dict[str, Any]] = None):
... | archai/archai/discrete_search/api/archai_model.py/0 | {
"file_path": "archai/archai/discrete_search/api/archai_model.py",
"repo_id": "archai",
"token_count": 489
} | 335 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import ray
from overrides import overrides
from archai.api.dataset_provider import DatasetProvider
from archai.discrete_search.api.archai_model import ArchaiModel
from archai.... | archai/archai/discrete_search/evaluators/progressive_training.py/0 | {
"file_path": "archai/archai/discrete_search/evaluators/progressive_training.py",
"repo_id": "archai",
"token_count": 2288
} | 336 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import math
from random import Random
from numbers import Number
from typing import Any, List, Union, Optional
class DiscreteChoice:
def __init__(self, choices: List[Union[int, float, str]],
probabilities: Optional[List[flo... | archai/archai/discrete_search/search_spaces/config/discrete_choice.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/config/discrete_choice.py",
"repo_id": "archai",
"token_count": 1106
} | 337 |
import math
import os
from dataclasses import dataclass
from typing import Optional, Tuple, Union, Any
import torch
import torch.utils.checkpoint
from torch import nn
from torch.cuda.amp import autocast
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.modeling_outputs import (
B... | archai/archai/discrete_search/search_spaces/nlp/tfpp/backbones/gpt2/block.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/nlp/tfpp/backbones/gpt2/block.py",
"repo_id": "archai",
"token_count": 2113
} | 338 |
# Modified from S4: https://github.com/HazyResearch/state-spaces/blob/main/src/models/sequence/ss/s4.py
from functools import partial
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers import PretrainedConfig
from einops import rearrange, repeat
import opt_einsum as oe
fr... | archai/archai/discrete_search/search_spaces/nlp/tfpp/ops/sgconv3.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/nlp/tfpp/ops/sgconv3.py",
"repo_id": "archai",
"token_count": 8190
} | 339 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Any, List, Optional
from transformers.models.gpt2.configuration_gpt2 import GPT2Config
def _map_to_list(variable: Any, size: int) -> List[Any]:
if isinstance(variable, list):
size_diff = size - len(variable)
... | archai/archai/discrete_search/search_spaces/nlp/transformer_flex/models/configuration_gpt2_flex.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/nlp/transformer_flex/models/configuration_gpt2_flex.py",
"repo_id": "archai",
"token_count": 454
} | 340 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Any, Optional, Tuple
from transformers.configuration_utils import PretrainedConfig
from archai.onnx.config_utils.onnx_config_base import OnnxConfigWithPast
class CodeGenOnnxConfig(OnnxConfigWithPast):
"""CodeGen ONNX co... | archai/archai/onnx/config_utils/codegen_onnx_config.py/0 | {
"file_path": "archai/archai/onnx/config_utils/codegen_onnx_config.py",
"repo_id": "archai",
"token_count": 353
} | 341 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
class OnnxDynamicObserver:
"""DynamicObserver that is compliant with ONNX-based graphs.
This class can be used to perform symmetric or assymetric quantization, depending on the
`dtype` provided. `qint8` is usually used... | archai/archai/quantization/observers.py/0 | {
"file_path": "archai/archai/quantization/observers.py",
"repo_id": "archai",
"token_count": 791
} | 342 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from overrides import overrides
from archai.supergraph.algos.darts.darts_model_desc_builder import DartsModelDescBuilder
from archai.supergraph.algos.didarts.didarts_arch_trainer import DidartsArchTrainer
from archai.supergraph.nas.arch_trainer ... | archai/archai/supergraph/algos/didarts/didarts_exp_runner.py/0 | {
"file_path": "archai/archai/supergraph/algos/didarts/didarts_exp_runner.py",
"repo_id": "archai",
"token_count": 212
} | 343 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Iterator, Optional, Tuple
import torch
from overrides import overrides
from torch import Tensor, nn
from archai.common.utils import zip_eq
from archai.supergraph.nas.arch_params import ArchParams
from archai.supergraph.nas.mo... | archai/archai/supergraph/algos/gumbelsoftmax/gs_op.py/0 | {
"file_path": "archai/archai/supergraph/algos/gumbelsoftmax/gs_op.py",
"repo_id": "archai",
"token_count": 2271
} | 344 |
# Copyright 2019 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | archai/archai/supergraph/algos/nasbench101/nasbench101_dataset.py/0 | {
"file_path": "archai/archai/supergraph/algos/nasbench101/nasbench101_dataset.py",
"repo_id": "archai",
"token_count": 2179
} | 345 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from overrides import overrides
from archai.supergraph.algos.xnas.xnas_arch_trainer import XnasArchTrainer
from archai.supergraph.algos.xnas.xnas_model_desc_builder import XnasModelDescBuilder
from archai.supergraph.nas.arch_trainer import TArch... | archai/archai/supergraph/algos/xnas/xnas_exp_runner.py/0 | {
"file_path": "archai/archai/supergraph/algos/xnas/xnas_exp_runner.py",
"repo_id": "archai",
"token_count": 211
} | 346 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
import torchvision
from overrides import overrides
from torchvision.transforms import transforms
from archai.common import utils
from archai.common.config import Config
from archai.supergraph.datasets.dataset_provider import (
Dat... | archai/archai/supergraph/datasets/providers/flower102_provider.py/0 | {
"file_path": "archai/archai/supergraph/datasets/providers/flower102_provider.py",
"repo_id": "archai",
"token_count": 1099
} | 347 |
import math
import torch
import torch.nn as nn
from archai.supergraph.models.shakedrop import ShakeDrop
def conv3x3(in_planes, out_planes, stride=1):
"""
3x3 convolution with padding
"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=1, bias=False)
class BasicBlock(n... | archai/archai/supergraph/models/pyramidnet.py/0 | {
"file_path": "archai/archai/supergraph/models/pyramidnet.py",
"repo_id": "archai",
"token_count": 4758
} | 348 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import List, Optional
import torch
from overrides import overrides
from torch import nn
from archai.supergraph.nas.arch_module import ArchModule
from archai.supergraph.nas.model_desc import EdgeDesc
from archai.supergraph.nas.operat... | archai/archai/supergraph/nas/dag_edge.py/0 | {
"file_path": "archai/archai/supergraph/nas/dag_edge.py",
"repo_id": "archai",
"token_count": 563
} | 349 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
import weakref
from collections import UserDict
from typing import Callable
import torch
from archai.common import utils
from archai.common.config import Config
_CallbackType = Callable #[['CheckPoint', *kargs: Any, **kwargs: Any], N... | archai/archai/supergraph/utils/checkpoint.py/0 | {
"file_path": "archai/archai/supergraph/utils/checkpoint.py",
"repo_id": "archai",
"token_count": 1015
} | 350 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import json
import os
from dataclasses import asdict, dataclass, field
from typing import Any, Dict, Union
import deepspeed
import torch
from archai.common.file_utils import get_full_path
@dataclass
class DsTrainingArguments:
"""Define ar... | archai/archai/trainers/nlp/ds_training_args.py/0 | {
"file_path": "archai/archai/trainers/nlp/ds_training_args.py",
"repo_id": "archai",
"token_count": 1320
} | 351 |
__include__: "darts.yaml" # just use darts defaults
common:
log_level: 20 # logging.INFO
nas:
eval:
model_desc:
params: {
'cell_matrix' : [[0, 1, 1, 1, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 1],
... | archai/confs/algos/nasbench101.yaml/0 | {
"file_path": "archai/confs/algos/nasbench101.yaml",
"repo_id": "archai",
"token_count": 810
} | 352 |
__include__: './dataroot.yaml' # default dataset settings are for cifar
dataset:
name: 'flower102'
n_classes: 102
channels: 3 # number of channels in image
max_batches: -1 # if >= 0 then only these many batches are generated (useful for debugging)
storage_name: 'flower102' # name of folder or tar file to cop... | archai/confs/datasets/flower102.yaml/0 | {
"file_path": "archai/confs/datasets/flower102.yaml",
"repo_id": "archai",
"token_count": 102
} | 353 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license
# Root image to be based
# Available images: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch/tags
FROM nvcr.io/nvidia/pytorch:23.02-py3
# Labels for the docker
LABEL description="NVIDIA Docker with Archai, DeepSpeed and Flash-Attent... | archai/docker/Dockerfile.flash/0 | {
"file_path": "archai/docker/Dockerfile.flash",
"repo_id": "archai",
"token_count": 666
} | 354 |
Discrete Search
===============
.. toctree::
:maxdepth: 2
Search Spaces <discrete_search/search_space.ipynb>
Evaluators <discrete_search/evaluators.ipynb>
Algorithms <discrete_search/algos.ipynb>
Configuration-based Search <discrete_search/config_search.ipynb>
| archai/docs/getting_started/notebooks/discrete_search.rst/0 | {
"file_path": "archai/docs/getting_started/notebooks/discrete_search.rst",
"repo_id": "archai",
"token_count": 101
} | 355 |
<jupyter_start><jupyter_text>Exporting Models to ONNXExporting a pre-trained model to ONNX involves converting the model into a common format that can be easily integrated and deployed across different platforms. The conversion can be done using a tool or library, which converts the model's architecture, weights, and c... | archai/docs/getting_started/notebooks/nlp/onnx_export.ipynb/0 | {
"file_path": "archai/docs/getting_started/notebooks/nlp/onnx_export.ipynb",
"repo_id": "archai",
"token_count": 1065
} | 356 |
Search Algorithms
=================
BANANAS
-------
.. automodule:: archai.discrete_search.algos.bananas
:members:
:undoc-members:
Evolution Pareto
----------------
.. automodule:: archai.discrete_search.algos.evolution_pareto
:members:
:undoc-members:
Local Search
------------
.. automodule:: archai.... | archai/docs/reference/api/archai.discrete_search.algos.rst/0 | {
"file_path": "archai/docs/reference/api/archai.discrete_search.algos.rst",
"repo_id": "archai",
"token_count": 276
} | 357 |
Utilities
=========
Multi-Objective
---------------
.. automodule:: archai.discrete_search.utils.multi_objective
:members:
:undoc-members:
| archai/docs/reference/api/archai.discrete_search.utils.rst/0 | {
"file_path": "archai/docs/reference/api/archai.discrete_search.utils.rst",
"repo_id": "archai",
"token_count": 50
} | 358 |
Providers
=========
Aicraft
-------
.. automodule:: archai.supergraph.datasets.providers.aircraft_provider
:members:
:undoc-members:
CIFAR-100
---------
.. automodule:: archai.supergraph.datasets.providers.cifar100_provider
:members:
:undoc-members:
CIFAR-10
--------
.. automodule:: archai.supergraph.... | archai/docs/reference/api/archai.supergraph.datasets.providers.rst/0 | {
"file_path": "archai/docs/reference/api/archai.supergraph.datasets.providers.rst",
"repo_id": "archai",
"token_count": 684
} | 359 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
[pytest]
addopts=-vv --durations=10
# Do not run tests in the build folder
norecursedirs=build
# Warnings to be ignored
filterwarnings=
ignore::DeprecationWarning
ignore::UserWarning
ignore::torch.jit.TracerWarning
| archai/pytest.ini/0 | {
"file_path": "archai/pytest.ini",
"repo_id": "archai",
"token_count": 98
} | 360 |
<jupyter_start><jupyter_text>How-To Evaluate Models with LM-Eval HarnessThe `lm_eval_harness` research project implements a wrapper over the `lm_eval` framework, provided by EleutherAI. It is designed to make it easy to evaluate NLP models and compare their performance. In this tutorial, we will walk through the proces... | archai/research/lm_eval_harness/tutorials/simple_evaluation.ipynb/0 | {
"file_path": "archai/research/lm_eval_harness/tutorials/simple_evaluation.ipynb",
"repo_id": "archai",
"token_count": 1082
} | 361 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
""" Script to prepare food101 dataset for pytorch dataloader.
This script assumes that one has downloaded and extracted the full food101 dataset from ETHZ.
Invoke the script as $ python food101.py --rootdir /path/to/food101. It will create 'trai... | archai/scripts/supergraph/download_datasets/food101_install.py/0 | {
"file_path": "archai/scripts/supergraph/download_datasets/food101_install.py",
"repo_id": "archai",
"token_count": 1092
} | 362 |
import logging
import random
from archai.supergraph.algos.nasbench101 import model_builder
from archai.supergraph.algos.nasbench101.nasbench101_dataset import Nasbench101Dataset
def main():
logging.getLogger().setLevel(logging.DEBUG)
# create dataset
nsds = Nasbench101Dataset("~/dataroot/nasbench_ds/nas... | archai/scripts/supergraph/nasbench101/query_test.py/0 | {
"file_path": "archai/scripts/supergraph/nasbench101/query_test.py",
"repo_id": "archai",
"token_count": 506
} | 363 |
import argparse
import csv
def read_status(filename):
header = None
with open(filename, 'r') as f:
reader = csv.reader(f, delimiter=',')
for row in reader:
header = [x.strip() for x in row]
break
result = {}
with open(filename, 'r') as f:
reader = csv.Di... | archai/tasks/face_segmentation/aml/azure/compare_status.py/0 | {
"file_path": "archai/tasks/face_segmentation/aml/azure/compare_status.py",
"repo_id": "archai",
"token_count": 847
} | 364 |
apiVersion: apps/v1
kind: Deployment
metadata:
name: snpe-quantizer
namespace: snpe
spec:
replicas: 1
selector:
matchLabels:
app: snpe-quantizer
template:
metadata:
labels:
app: snpe-quantizer
spec:
affinity:
# See https://kubernetes.io/docs/concepts/scheduling-ev... | archai/tasks/face_segmentation/aml/docker/quantizer/quantizer.template.yaml/0 | {
"file_path": "archai/tasks/face_segmentation/aml/docker/quantizer/quantizer.template.yaml",
"repo_id": "archai",
"token_count": 615
} | 365 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Any, Dict, List, Optional, Tuple, Union
from overrides import overrides
from archai.discrete_search.evaluators import AvgOnnxLatency
from archai.discrete_search.api.archai_model import ArchaiModel
from archai.common.store import... | archai/tasks/face_segmentation/aml/training/onnx_latency.py/0 | {
"file_path": "archai/tasks/face_segmentation/aml/training/onnx_latency.py",
"repo_id": "archai",
"token_count": 1085
} | 366 |
import os
import numpy as np
import tempfile
import uuid
from archai.common.store import ArchaiStore
CONNECTION_NAME = 'MODEL_STORAGE_CONNECTION_STRING'
def test_store():
con_str = os.getenv(CONNECTION_NAME)
if not con_str:
print(f"Skipping test_store because you have no {CONNECTION_NAME} environment... | archai/tests/common/test_store.py/0 | {
"file_path": "archai/tests/common/test_store.py",
"repo_id": "archai",
"token_count": 990
} | 367 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
import pytest
from archai.discrete_search.algos.bananas import MoBananasSearch
@pytest.fixture(scope="session")
def output_dir(tmp_path_factory):
return tmp_path_factory.mktemp("out_bananas")
def test_bananas(output_dir, searc... | archai/tests/discrete_search/algos/test_bananas.py/0 | {
"file_path": "archai/tests/discrete_search/algos/test_bananas.py",
"repo_id": "archai",
"token_count": 441
} | 368 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Callable
from archai.discrete_search.evaluators.functional import EvaluationFunction
def test_evaluation_function():
evaluator = EvaluationFunction(lambda a, b: 1)
# Assert that evaluator can evaluate the argument f... | archai/tests/discrete_search/evaluators/test_functional.py/0 | {
"file_path": "archai/tests/discrete_search/evaluators/test_functional.py",
"repo_id": "archai",
"token_count": 131
} | 369 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
from transformers import GPT2Config, GPT2LMHeadModel
from archai.onnx.config_utils.onnx_config_base import OnnxConfig
from archai.onnx.export import export_to_onnx
def test_export_to_onnx():
model = GPT2LMHeadModel(config=GPT2Co... | archai/tests/onnx/test_export.py/0 | {
"file_path": "archai/tests/onnx/test_export.py",
"repo_id": "archai",
"token_count": 396
} | 370 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Callable
import torch
from archai.common.common import common_init
from archai.supergraph.nas.model import Model
from archai.supergraph.nas.model_desc_builder import ModelDescBuilder
def requires_gpu(test_fn: Callable):
... | archai/tests/supergraph/test_zero_model.py/0 | {
"file_path": "archai/tests/supergraph/test_zero_model.py",
"repo_id": "archai",
"token_count": 493
} | 371 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/released/member_entitlement_management/member_entitlement_management_client.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/released/member_entitlement_management/member_entitlement_management_client.py",
"repo_id": "azure-devops-python-api",
"token_count": 7781
} | 372 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/released/project_analysis/project_analysis_client.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/released/project_analysis/project_analysis_client.py",
"repo_id": "azure-devops-python-api",
"token_count": 2576
} | 373 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_0/test/test_client.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_0/test/test_client.py",
"repo_id": "azure-devops-python-api",
"token_count": 30090
} | 374 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_1/elastic/elastic_client.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_1/elastic/elastic_client.py",
"repo_id": "azure-devops-python-api",
"token_count": 3821
} | 375 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_1/file_container/models.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_1/file_container/models.py",
"repo_id": "azure-devops-python-api",
"token_count": 3418
} | 376 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_1/location/models.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_1/location/models.py",
"repo_id": "azure-devops-python-api",
"token_count": 7645
} | 377 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_1/profile/models.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_1/profile/models.py",
"repo_id": "azure-devops-python-api",
"token_count": 3848
} | 378 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_1/release/release_client.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_1/release/release_client.py",
"repo_id": "azure-devops-python-api",
"token_count": 22851
} | 379 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops-python-api/azure-devops/azure/devops/v7_1/test_plan/test_plan_client.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/azure/devops/v7_1/test_plan/test_plan_client.py",
"repo_id": "azure-devops-python-api",
"token_count": 24015
} | 380 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | azure-devops-python-api/azure-devops/setup.py/0 | {
"file_path": "azure-devops-python-api/azure-devops/setup.py",
"repo_id": "azure-devops-python-api",
"token_count": 536
} | 381 |
# Contributing to Azure-Quantum-Python #
If you would like to become an active contributor to this project please
follow the instructions provided in [Microsoft Azure Projects Contribution Guidelines](https://opensource.microsoft.com/collaborate/).
## Pre-requisites
Install pre-reqs:
```bash
pip install azure_devto... | azure-quantum-python/CONTRIBUTING.md/0 | {
"file_path": "azure-quantum-python/CONTRIBUTING.md",
"repo_id": "azure-quantum-python",
"token_count": 1194
} | 382 |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | azure-quantum-python/azure-quantum/azure/quantum/_client/__init__.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/_client/__init__.py",
"repo_id": "azure-quantum-python",
"token_count": 227
} | 383 |
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
"""Defines argument types for Microsoft Estimator"""
from .types import EmptyArray, Pauli, Range, Result
__all__ = ['EmptyArray', 'Pauli', 'Range', 'Result']
| azure-quantum-python/azure-quantum/azure/quantum/argument_types/__init__.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/argument_types/__init__.py",
"repo_id": "azure-quantum-python",
"token_count": 73
} | 384 |
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
import abc
from typing import TYPE_CHECKING, Union
from azure.quantum._client.models import ItemDetails, ItemType, SessionDetails, JobDetails
if TYPE_CHECKING:
from azure.quantum.workspace import Workspace
__all_... | azure-quantum-python/azure-quantum/azure/quantum/job/workspace_item.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/job/workspace_item.py",
"repo_id": "azure-quantum-python",
"token_count": 466
} | 385 |
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
from typing import Any, Dict, List
from warnings import warn
from azure.quantum.target.target import (
Target,
_determine_shots_or_deprecated_num_shots,
)
from azure.quantum.job.job import Job
from azure.quantum... | azure-quantum-python/azure-quantum/azure/quantum/target/ionq.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/target/ionq.py",
"repo_id": "azure-quantum-python",
"token_count": 3875
} | 386 |
"""Defines targets and helper functions for the Rigetti provider"""
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
__all__ = [
"InputParams",
"Rigetti",
"RigettiTarget",
]
from dataclasses import dataclass
from enum import Enum
from typing import Union... | azure-quantum-python/azure-quantum/azure/quantum/target/rigetti/target.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/target/rigetti/target.py",
"repo_id": "azure-quantum-python",
"token_count": 3042
} | 387 |
##
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
##
# Physical resource estimation for RSA using a pre-compiled QIR code
import argparse
import os
from azure.quantum import Workspace
from azure.quantum.target.microsoft import MicrosoftEstimator, QubitParams, \
QECScheme
# Configure pro... | azure-quantum-python/azure-quantum/examples/resource_estimation/rsa.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/examples/resource_estimation/rsa.py",
"repo_id": "azure-quantum-python",
"token_count": 1230
} | 388 |
60
O 97.873900000 103.017000000 100.816000000
H 98.128600000 103.038000000 99.848800000
H 97.173800000 102.317000000 100.960000000
O 100.645000000 100.169000000 95.891500000
H 101.491000000 100.305000000 96.406200000
H 99.888700000 100.618000000 96.36780000... | azure-quantum-python/azure-quantum/tests/unit/molecule.xyz/0 | {
"file_path": "azure-quantum-python/azure-quantum/tests/unit/molecule.xyz",
"repo_id": "azure-quantum-python",
"token_count": 1574
} | 389 |
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
from typing import Any, Dict, List, Tuple, Union
import unittest
import warnings
import random
import json
import pytest
import numpy as np
import collections
from qiskit import QuantumCircuit, QuantumRegister, Classica... | azure-quantum-python/azure-quantum/tests/unit/test_qiskit.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/tests/unit/test_qiskit.py",
"repo_id": "azure-quantum-python",
"token_count": 28220
} | 390 |
---
page_type: sample
author: alchocro
description: Running your first job on the Azure Quantum service
ms.author: alchocro@microsoft.com
ms.date: 08/08/2022
languages:
- python
- qsharp
products:
- azure-quantum
---
# Running your first job on the Azure Quantum service
These are Azure Quantum sample notebooks that i... | azure-quantum-python/samples/hello-world/README.md/0 | {
"file_path": "azure-quantum-python/samples/hello-world/README.md",
"repo_id": "azure-quantum-python",
"token_count": 800
} | 391 |
# Visualization
This folder contains visualizations for the resource estimation feature.
- react-lib: source code for the visualization components and D3 integration.
- js-lib: wrapper JavaScript library which packages the visualization components into a consumable JavaScript package by clients.
Refer to **build** f... | azure-quantum-python/visualization/README.md/0 | {
"file_path": "azure-quantum-python/visualization/README.md",
"repo_id": "azure-quantum-python",
"token_count": 147
} | 392 |
/*------------------------------------
Copyright (c) Microsoft Corporation.
Licensed under the MIT License.
All rights reserved.
------------------------------------ */
import * as React from "react";
import * as d3 from "d3";
import * as d3Format from "d3-format";
import { PieArcDatum } from "d3-shape";
import ... | azure-quantum-python/visualization/react-lib/src/components/d3-visualization-components/DonutChart.tsx/0 | {
"file_path": "azure-quantum-python/visualization/react-lib/src/components/d3-visualization-components/DonutChart.tsx",
"repo_id": "azure-quantum-python",
"token_count": 2275
} | 393 |
/*------------------------------------
Copyright (c) Microsoft Corporation.
Licensed under the MIT License.
All rights reserved.
------------------------------------ */
export interface JobResults {
errorBudget: ErrorBudget;
jobParams: JobParams;
logicalCounts: LogicalCounts;
logicalQubit: LogicalQubit;
... | azure-quantum-python/visualization/react-lib/src/models/JobResults.ts/0 | {
"file_path": "azure-quantum-python/visualization/react-lib/src/models/JobResults.ts",
"repo_id": "azure-quantum-python",
"token_count": 716
} | 394 |
JavaScript
==========
.. toctree::
BiString
BiStringBuilder
Alignment
Tokenization
Tokenizer
| bistring/docs/JavaScript/index.rst/0 | {
"file_path": "bistring/docs/JavaScript/index.rst",
"repo_id": "bistring",
"token_count": 44
} | 395 |
/*!
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT license.
*/
import { BiString, Alignment } from "..";
test("new BiString", () => {
expect(() => new BiString(42 as any)).toThrow(TypeError);
expect(() => new BiString("fourty-two", 42 as any)).toThrow(TypeError);
e... | bistring/js/tests/bistring.test.ts/0 | {
"file_path": "bistring/js/tests/bistring.test.ts",
"repo_id": "bistring",
"token_count": 5482
} | 396 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
from __future__ import annotations
__all__ = [
'Token',
'Tokenization',
'Tokenizer',
'RegexTokenizer',
'SplittingTokenizer',
'CharacterTokenizer',
'WordTokenizer',
'SentenceTokenizer',
]
from... | bistring/python/bistring/_token.py/0 | {
"file_path": "bistring/python/bistring/_token.py",
"repo_id": "bistring",
"token_count": 6058
} | 397 |
default_stages: [push]
repos:
- repo: https://github.com/pre-commit/mirrors-pylint
rev: v2.4.3
hooks:
- id: pylint
files: libraries
args: [--rcfile=.pylintrc]
verbose: true | botbuilder-python/.pre-commit-config.yaml/0 | {
"file_path": "botbuilder-python/.pre-commit-config.yaml",
"repo_id": "botbuilder-python",
"token_count": 108
} | 398 |
# CoreBot
Bot Framework v4 core bot sample.
This bot has been created using [Bot Framework](https://dev.botframework.com), it shows how to:
- Use [LUIS](https://www.luis.ai) to implement core AI capabilities
- Implement a multi-turn conversation using Dialogs
- Handle user interruptions for such things as `Help` or ... | botbuilder-python/generators/app/templates/core/{{cookiecutter.bot_name}}/README.md/0 | {
"file_path": "botbuilder-python/generators/app/templates/core/{{cookiecutter.bot_name}}/README.md",
"repo_id": "botbuilder-python",
"token_count": 928
} | 399 |
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