text stringlengths 5 22M | id stringlengths 12 177 | metadata dict | __index_level_0__ int64 0 1.37k |
|---|---|---|---|
# model settings
input_size = 300
model = dict(
type='SingleStageDetector',
pretrained='open-mmlab://vgg16_caffe',
backbone=dict(
type='SSDVGG',
input_size=input_size,
depth=16,
with_last_pool=False,
ceil_mode=True,
out_indices=(3, 4),
out_feature_indi... | Cream/EfficientViT/downstream/configs/_base_/models/ssd300.py/0 | {
"file_path": "Cream/EfficientViT/downstream/configs/_base_/models/ssd300.py",
"repo_id": "Cream",
"token_count": 866
} | 294 |
import random
import warnings
import numpy as np
import torch
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import (HOOKS, DistSamplerSeedHook, EpochBasedRunner,
Fp16OptimizerHook, OptimizerHook, build_optimizer,
build_runner)
fro... | Cream/EfficientViT/downstream/mmdet_custom/apis/train.py/0 | {
"file_path": "Cream/EfficientViT/downstream/mmdet_custom/apis/train.py",
"repo_id": "Cream",
"token_count": 3309
} | 295 |
# only for evaluation
MODEL:
TYPE: swin
NAME: swin_large_patch4_window7_224
SWIN:
EMBED_DIM: 192
DEPTHS: [ 2, 2, 18, 2 ]
NUM_HEADS: [ 6, 12, 24, 48 ]
WINDOW_SIZE: 7 | Cream/MiniViT/Mini-Swin/configs/swin_large_patch4_window7_224.yaml/0 | {
"file_path": "Cream/MiniViT/Mini-Swin/configs/swin_large_patch4_window7_224.yaml",
"repo_id": "Cream",
"token_count": 94
} | 296 |
# TinyCLIP-ViT Inference
## Download checkpoints
Download a checkpoint from [Model Zoo](../README.md#model-zoo).
## Zero-shot inference on ImageNet-1k
Please change the paths to `imagenet-val` and `resume`.
### For manual weight inference checkpoint:
<details>
<summary>Evaluate TinyCLIP ViT-39M/16 + Text-19M (YFC... | Cream/TinyCLIP/docs/EVALUATION.md/0 | {
"file_path": "Cream/TinyCLIP/docs/EVALUATION.md",
"repo_id": "Cream",
"token_count": 1806
} | 297 |
from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD
from .factory import list_models, create_model, create_model_and_transforms, get_tokenizer, add_model_config, \
load_model, load_exp
from .loss import ClipLoss
from .model import CLIP, CLIPTextCfg, CLIPVisionCfg, convert_weights_to_fp16, trace_model
fro... | Cream/TinyCLIP/src/open_clip/__init__.py/0 | {
"file_path": "Cream/TinyCLIP/src/open_clip/__init__.py",
"repo_id": "Cream",
"token_count": 229
} | 298 |
import torch
import numpy as np
def ampscaler_get_grad_norm(parameters, norm_type: float = 2.0) -> torch.Tensor:
if isinstance(parameters, torch.Tensor):
parameters = [parameters]
parameters = [p for p in parameters if p.grad is not None]
norm_type = float(norm_type)
if len(parameters) == 0:
... | Cream/TinyCLIP/src/training/loss_scaler.py/0 | {
"file_path": "Cream/TinyCLIP/src/training/loss_scaler.py",
"repo_id": "Cream",
"token_count": 846
} | 299 |
# TinyViT: Fast Pretraining Distillation for Small Vision Transformers [](https://twitter.com/intent/tweet?text=Tiny%20vision%20transformer%20models,%20SOTA%20performance!!&url=https://github.com/microsoft/Cream/tree/main/TinyViT&via=houwen_pe... | Cream/TinyViT/README.md/0 | {
"file_path": "Cream/TinyViT/README.md",
"repo_id": "Cream",
"token_count": 3919
} | 300 |
from .auto_augment import RandAugment, AutoAugment, rand_augment_ops, auto_augment_policy,\
rand_augment_transform, auto_augment_transform
from .config import resolve_data_config
from .constants import *
from .dataset import ImageDataset, IterableImageDataset, AugMixDataset
from .dataset_factory import create_datas... | Cream/TinyViT/data/augmentation/__init__.py/0 | {
"file_path": "Cream/TinyViT/data/augmentation/__init__.py",
"repo_id": "Cream",
"token_count": 168
} | 301 |
from abc import abstractmethod
class Parser:
def __init__(self):
pass
@abstractmethod
def _filename(self, index, basename=False, absolute=False):
pass
def filename(self, index, basename=False, absolute=False):
return self._filename(index, basename=basename, absolute=absolute)... | Cream/TinyViT/data/augmentation/parsers/parser.py/0 | {
"file_path": "Cream/TinyViT/data/augmentation/parsers/parser.py",
"repo_id": "Cream",
"token_count": 172
} | 302 |
# Preparation
### Install the requirements
Run the following command to install the dependences:
```bash
pip install -r requirements.txt
```
### Data Preparation
We need to prepare ImageNet-1k and ImageNet-22k datasets from [`http://www.image-net.org/`](http://www.image-net.org/).
- ImageNet-1k
ImageNet-1k conta... | Cream/TinyViT/docs/PREPARATION.md/0 | {
"file_path": "Cream/TinyViT/docs/PREPARATION.md",
"repo_id": "Cream",
"token_count": 581
} | 303 |
# --------------------------------------------------------
# TinyViT Save Teacher Logits
# Copyright (c) 2022 Microsoft
# Based on the code: Swin Transformer
# (https://github.com/microsoft/swin-transformer)
# Save teacher logits
# --------------------------------------------------------
import os
import time
import... | Cream/TinyViT/save_logits.py/0 | {
"file_path": "Cream/TinyViT/save_logits.py",
"repo_id": "Cream",
"token_count": 5300
} | 304 |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Backbone modules.
"""
from collections import OrderedDict
import torch
import torch.nn.functional as F
import torchvision
from torch import nn
from torchvision.models._utils import IntermediateLayerGetter
from typing import Dict, List
from uti... | Cream/iRPE/DETR-with-iRPE/models/backbone.py/0 | {
"file_path": "Cream/iRPE/DETR-with-iRPE/models/backbone.py",
"repo_id": "Cream",
"token_count": 1904
} | 305 |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
A script to run multinode training with submitit.
"""
import argparse
import os
import uuid
from pathlib import Path
import main as detection
import submitit
def parse_args():
detection_parser = detection.get_args_parser()
parser = ar... | Cream/iRPE/DETR-with-iRPE/run_with_submitit.py/0 | {
"file_path": "Cream/iRPE/DETR-with-iRPE/run_with_submitit.py",
"repo_id": "Cream",
"token_count": 1391
} | 306 |
"""The implementation of models with image RPE"""
import torch
from timm.models.registry import register_model
from irpe import get_rpe_config
from models import deit_tiny_patch16_224,\
deit_small_patch16_224,\
deit_base_patch16_224
_checkpoint_url_prefix = \
'https://github.com/wkcn/iRPE-model-zoo/releas... | Cream/iRPE/DeiT-with-iRPE/rpe_models.py/0 | {
"file_path": "Cream/iRPE/DeiT-with-iRPE/rpe_models.py",
"repo_id": "Cream",
"token_count": 3203
} | 307 |
from .registry import model_entrypoints
from .registry import is_model
def build_model(config, **kwargs):
model_name = config.MODEL.NAME
if not is_model(model_name):
raise ValueError(f'Unkown model: {model_name}')
return model_entrypoints(model_name)(config, **kwargs)
| CvT/lib/models/build.py/0 | {
"file_path": "CvT/lib/models/build.py",
"repo_id": "CvT",
"token_count": 105
} | 308 |
$schema: http://azureml/sdk-2-0/CommandComponent.json
name: microsoft.com.office.spectral.residual.anomaly.detection
version: 1.1.1
display_name: Spectral Residual Anomaly Detection
is_deterministic: True
type: CommandComponent
description: This module implements the spectral residual anomaly detection algorithm for ti... | anomalydetector/aml_component/ad_component.yaml/0 | {
"file_path": "anomalydetector/aml_component/ad_component.yaml",
"repo_id": "anomalydetector",
"token_count": 1075
} | 309 |
"""
Copyright (C) Microsoft Corporation. All rights reserved.β
β
Microsoft Corporation (βMicrosoftβ) 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/msanomalydetector/util.py/0 | {
"file_path": "anomalydetector/msanomalydetector/util.py",
"repo_id": "anomalydetector",
"token_count": 1431
} | 310 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import gc
import math
from collections import Counter
from typing import List, Optional, Tuple
import numpy as np
import statopt
import torch
from torch import Tensor, nn
from torch.nn.modules.loss import _Loss
from torch.optim import SGD, Adam,... | archai/archai/common/ml_utils.py/0 | {
"file_path": "archai/archai/common/ml_utils.py",
"repo_id": "archai",
"token_count": 4003
} | 311 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Callable, Optional
from overrides import overrides
from torch.utils.data import Dataset
from torchvision.datasets import Cityscapes
from torchvision.transforms import ToTensor
from archai.api.dataset_provider import DatasetPr... | archai/archai/datasets/cv/cityscapes_dataset_provider.py/0 | {
"file_path": "archai/archai/datasets/cv/cityscapes_dataset_provider.py",
"repo_id": "archai",
"token_count": 935
} | 312 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from archai.discrete_search.algos.bananas import MoBananasSearch
from archai.discrete_search.algos.evolution_pareto import EvolutionParetoSearch
from archai.discrete_search.algos.local_search import LocalSearch
from archai.discrete_search.algos.r... | archai/archai/discrete_search/algos/__init__.py/0 | {
"file_path": "archai/archai/discrete_search/algos/__init__.py",
"repo_id": "archai",
"token_count": 125
} | 313 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import copy
import sys
from random import Random
from typing import Any, Dict, List, Optional, Tuple
import numpy as np
import tensorwatch as tw
import torch
from overrides.overrides import overrides
from archai.common.ordered_dict_logger impor... | archai/archai/discrete_search/search_spaces/cv/segmentation_dag/search_space.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/cv/segmentation_dag/search_space.py",
"repo_id": "archai",
"token_count": 9784
} | 314 |
# Downloaded from https://github.com/HazyResearch/state-spaces/blob/06dbbdfd0876501a7f12bf3262121badbc7658af/src/models/functional/krylov.py
""" Compute a Krylov function efficiently. (S4 renames the Krylov function to a "state space kernel")
A : (N, N)
b : (N,)
c : (N,)
Return: [c^T A^i b for i in [L]]
"""
import tor... | archai/archai/discrete_search/search_spaces/nlp/tfpp/ops/ssm_utils/ssm_ops/krylov.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/nlp/tfpp/ops/ssm_utils/ssm_ops/krylov.py",
"repo_id": "archai",
"token_count": 2690
} | 315 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
#
# Copyright (c) 2018, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0.
from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from archai.discrete_search.search_spaces.nlp.transform... | archai/archai/discrete_search/search_spaces/nlp/transformer_flex/models/mem_transformer_utils/rel_partial_learnable_decoder.py/0 | {
"file_path": "archai/archai/discrete_search/search_spaces/nlp/transformer_flex/models/mem_transformer_utils/rel_partial_learnable_decoder.py",
"repo_id": "archai",
"token_count": 4836
} | 316 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Optional
from overrides import overrides
from torch import Tensor
from archai.common import ml_utils
from archai.common.config import Config
from archai.supergraph.algos.darts.bilevel_optimizer import BilevelOptimizer
from ar... | archai/archai/supergraph/algos/darts/bilevel_arch_trainer.py/0 | {
"file_path": "archai/archai/supergraph/algos/darts/bilevel_arch_trainer.py",
"repo_id": "archai",
"token_count": 1359
} | 317 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import math
from typing import Iterator, List, Optional, Tuple
import numpy as np
import torch
import torch.nn.functional as F
from overrides import overrides
from torch import nn
from archai.common.common import get_conf
from archai.common.uti... | archai/archai/supergraph/algos/divnas/divop.py/0 | {
"file_path": "archai/archai/supergraph/algos/divnas/divop.py",
"repo_id": "archai",
"token_count": 2547
} | 318 |
from __future__ import absolute_import, division, print_function
import torch.nn as nn
class ConvBnRelu(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size=1, stride=1, padding=0):
super(ConvBnRelu, self).__init__()
self.conv_bn_relu = nn.Sequential(
nn.Conv2d(in_ch... | archai/archai/supergraph/algos/nasbench101/base_ops.py/0 | {
"file_path": "archai/archai/supergraph/algos/nasbench101/base_ops.py",
"repo_id": "archai",
"token_count": 805
} | 319 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import heapq
from copy import deepcopy
from typing import Iterator, List, 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 im... | archai/archai/supergraph/algos/petridish/petridish_op.py/0 | {
"file_path": "archai/archai/supergraph/algos/petridish/petridish_op.py",
"repo_id": "archai",
"token_count": 3659
} | 320 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import math
from typing import Iterable, Optional, Tuple
import numpy as np
import torch
import torch.distributed as dist
from sklearn.model_selection import StratifiedKFold, StratifiedShuffleSplit
from torch.utils.data import Sampler
from torch... | archai/archai/supergraph/datasets/distributed_stratified_sampler.py/0 | {
"file_path": "archai/archai/supergraph/datasets/distributed_stratified_sampler.py",
"repo_id": "archai",
"token_count": 3200
} | 321 |
# 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/stanfordcars_provider.py/0 | {
"file_path": "archai/archai/supergraph/datasets/providers/stanfordcars_provider.py",
"repo_id": "archai",
"token_count": 1134
} | 322 |
# -*- coding: utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
class ShakeShake(torch.autograd.Function):
@staticmethod
def forward(ctx, x1, x2, training=True):
if training:
alpha = torch.cuda.FloatTensor(x1.size(0)).uniform... | archai/archai/supergraph/models/shakeshake/shakeshake.py/0 | {
"file_path": "archai/archai/supergraph/models/shakeshake/shakeshake.py",
"repo_id": "archai",
"token_count": 700
} | 323 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import copy
import math
from abc import ABC
from argparse import ArgumentError
from typing import (
Callable,
Dict,
Iterable,
Iterator,
List,
Mapping,
Optional,
Tuple,
Union,
)
import torch
from overrides impo... | archai/archai/supergraph/nas/operations.py/0 | {
"file_path": "archai/archai/supergraph/nas/operations.py",
"repo_id": "archai",
"token_count": 10862
} | 324 |
__include__: "darts.yaml" # just use darts defaults
nas:
search:
trainer:
epochs: 200
alpha_optimizer:
type: 'sgd'
lr: 0.025 # init learning rate
decay: 3.0e-4
momentum: 0.9 # pytorch default is 0
nesterov: False
decay_bn: .NaN # if NaN then same as dec... | archai/confs/algos/didarts.yaml/0 | {
"file_path": "archai/confs/algos/didarts.yaml",
"repo_id": "archai",
"token_count": 268
} | 325 |
__include__: './dataroot.yaml' # default dataset settings are for cifar
dataset:
name: 'person_coco_cut_paste'
n_classes: 2
channels: 3 # number of channels in image
max_batches: -1 # if >= 0 then only these many batches are generated (useful for debugging)
storage_name: 'train_cut_paste_256' # name of folde... | archai/confs/datasets/person_coco_cut_paste.yaml/0 | {
"file_path": "archai/confs/datasets/person_coco_cut_paste.yaml",
"repo_id": "archai",
"token_count": 139
} | 326 |
Azure
=====
The notebooks in this section show how to use Azure to run some different neural architecture searches.
The Quickstart runs a simple cpu only search in an Azure VM using
.. toctree::
:maxdepth: 2
Quickstart <notebooks/quickstart/quickstart.ipynb>
Text Generation <notebooks/text_generation/text_... | archai/docs/advanced_guide/cloud/azure/notebooks.rst/0 | {
"file_path": "archai/docs/advanced_guide/cloud/azure/notebooks.rst",
"repo_id": "archai",
"token_count": 122
} | 327 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from torch import nn
import torch
import pytorch_lightning as pl
from torchmetrics import Accuracy
from archai.discrete_search.search_spaces.config import ArchConfig
class MyModel(pl.LightningModule):
""" This is a simple CNN model that can ... | archai/docs/advanced_guide/cloud/azure/notebooks/multi_node_search/scripts/model.py/0 | {
"file_path": "archai/docs/advanced_guide/cloud/azure/notebooks/multi_node_search/scripts/model.py",
"repo_id": "archai",
"token_count": 1295
} | 328 |
:root {
--primary: #623eb2;
--secondary: #8776ae;
}
li > a {
color: #5a5a5a !important;
}
a,
a.current,
p.prev-next-title {
color: var(--primary) !important;
}
a:hover {
color: var(--secondary) !important;
}
a.nav-link.active {
border-left: 2px solid var(--primary) !important;
}
a.navbar-bran... | archai/docs/assets/css/custom.css/0 | {
"file_path": "archai/docs/assets/css/custom.css",
"repo_id": "archai",
"token_count": 287
} | 329 |
API
===
.. toctree::
:maxdepth: 2
Dataset Provider <api/dataset_provider.ipynb>
Trainer (Base) <api/trainer_base.ipynb>
| archai/docs/getting_started/notebooks/api.rst/0 | {
"file_path": "archai/docs/getting_started/notebooks/api.rst",
"repo_id": "archai",
"token_count": 59
} | 330 |
API
===
The API reference for Archai provides detailed information about the software's application programming interface (API), including a complete list of available functions and methods, their arguments and return values, and examples of how to use them.
This section of the documentation is intended for developer... | archai/docs/reference/api.rst/0 | {
"file_path": "archai/docs/reference/api.rst",
"repo_id": "archai",
"token_count": 188
} | 331 |
Benchmark
=========
NATS-Bench
----------
.. automodule:: archai.discrete_search.search_spaces.benchmark.natsbench_tss
:members:
:undoc-members:
| archai/docs/reference/api/archai.discrete_search.search_spaces.benchmark.rst/0 | {
"file_path": "archai/docs/reference/api/archai.discrete_search.search_spaces.benchmark.rst",
"repo_id": "archai",
"token_count": 58
} | 332 |
DivNAS
======
Activations Analyser
--------------------
.. automodule:: archai.supergraph.algos.divnas.analyse_activations
:members:
:undoc-members:
Cell
----
.. automodule:: archai.supergraph.algos.divnas.divnas_cell
:members:
:undoc-members:
Experiment Runner
-----------------
.. automodule:: archai... | archai/docs/reference/api/archai.supergraph.algos.divnas.rst/0 | {
"file_path": "archai/docs/reference/api/archai.supergraph.algos.divnas.rst",
"repo_id": "archai",
"token_count": 423
} | 333 |
Natural Language Processing
===========================
DeepSpeed
---------
Trainer
^^^^^^^
.. automodule:: archai.trainers.nlp.ds_trainer
:members:
:undoc-members:
Training Arguments
^^^^^^^^^^^^^^^^^^
.. automodule:: archai.trainers.nlp.ds_training_args
:members:
:undoc-members:
Hugging Face
-------... | archai/docs/reference/api/archai.trainers.nlp.rst/0 | {
"file_path": "archai/docs/reference/api/archai.trainers.nlp.rst",
"repo_id": "archai",
"token_count": 344
} | 334 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
from typing import Any, Dict, List, Optional
from datasets.arrow_dataset import Dataset
from datasets.download import DownloadMode
from evaluate import load
from lm_eval.base import Task
from lm_eval.metrics import mean
from lm_eval_ha... | archai/research/lm_eval_harness/lm_eval_harness/tasks/human_eval.py/0 | {
"file_path": "archai/research/lm_eval_harness/lm_eval_harness/tasks/human_eval.py",
"repo_id": "archai",
"token_count": 1346
} | 335 |
# Policy found on CIFAR-10 and CIFAR-100
from __future__ import absolute_import, division, print_function
from collections import defaultdict
from archai.supergraph.datasets.augmentation import augment_list, get_augment
def arsaug_policy():
exp0_0 = [
[("Solarize", 0.66, 0.34), ("Equalize", 0.56, 0.61)]... | archai/scripts/supergraph/archive.py/0 | {
"file_path": "archai/scripts/supergraph/archive.py",
"repo_id": "archai",
"token_count": 105447
} | 336 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
from archai.common.common import common_init
from archai.common.config import Config
from archai.supergraph import models
from archai.supergraph.datasets import data
from archai.supergraph.utils.trainer import Trainer
def train_te... | archai/scripts/supergraph/models/train_archai.py/0 | {
"file_path": "archai/scripts/supergraph/models/train_archai.py",
"repo_id": "archai",
"token_count": 289
} | 337 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
from torch_testbed import cifar10_models
from torch_testbed.timing import MeasureTime, print_all_timings
from archai.common import utils
utils.setup_cuda(42, local_rank=0)
batch_size = 512
half = True
model = cifar10_models.resnet1... | archai/scripts/supergraph/performance/model_test.py/0 | {
"file_path": "archai/scripts/supergraph/performance/model_test.py",
"repo_id": "archai",
"token_count": 527
} | 338 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import argparse
import os
import sys
from archai.common.store import ArchaiStore
CONNECTION_NAME = 'MODEL_STORAGE_CONNECTION_STRING'
def reset(con_str, experiment_name):
parser = argparse.ArgumentParser(
description='Reset the named... | archai/tasks/face_segmentation/aml/azure/reset.py/0 | {
"file_path": "archai/tasks/face_segmentation/aml/azure/reset.py",
"repo_id": "archai",
"token_count": 586
} | 339 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import argparse
import cv2
import numpy as np
import glob
import os
import sys
import tqdm
from shutil import rmtree
DEVICE_WORKING_DIR = "/data/local/tmp"
TASK = os.path.basename(os.getcwd())
class DataGenerator():
def __init__(self, root... | archai/tasks/face_segmentation/aml/snpe/create_data.py/0 | {
"file_path": "archai/tasks/face_segmentation/aml/snpe/create_data.py",
"repo_id": "archai",
"token_count": 1831
} | 340 |
## Readme
1. **Visualize Mask R-CNN outputs** and verify if the model outputs are correct. Inside your experiment
folder, run `collect_metrics.py --help` to see the command line args. The `--show` option visualizes
the results, for example:
```
python collect_metrics.py --input d:\datasets\FaceSynthetics --out... | archai/tasks/face_segmentation/aml/vision/readme.md/0 | {
"file_path": "archai/tasks/face_segmentation/aml/vision/readme.md",
"repo_id": "archai",
"token_count": 189
} | 341 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import argparse
import cv2 # pip install opencv-contrib-python
import numpy as np
import os
import glob
import onnxruntime as rt
class ImageStream:
def __init__(self):
self.new_frame = False
self.frame = None
def lo... | archai/tasks/face_segmentation/test.py/0 | {
"file_path": "archai/tasks/face_segmentation/test.py",
"repo_id": "archai",
"token_count": 2528
} | 342 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import shutil
from archai.datasets.nlp.hf_dataset_provider import (
HfDiskDatasetProvider,
HfHubDatasetProvider,
)
def test_hf_hub_dataset_provider():
dataset_provider = HfHubDatasetProvider("glue", dataset_config_name="sst2")
... | archai/tests/datasets/nlp/test_hf_dataset_provider.py/0 | {
"file_path": "archai/tests/datasets/nlp/test_hf_dataset_provider.py",
"repo_id": "archai",
"token_count": 649
} | 343 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from unittest.mock import MagicMock
import numpy as np
from overrides import overrides
from archai.discrete_search.api.predictor import MeanVar, Predictor
class MyPredictor(Predictor):
def __init__(self) -> None:
super().__init__(... | archai/tests/discrete_search/api/test_predictor.py/0 | {
"file_path": "archai/tests/discrete_search/api/test_predictor.py",
"repo_id": "archai",
"token_count": 358
} | 344 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import pytest
import torch
from archai.discrete_search.search_spaces.nlp.transformer_flex.models.configuration_mem_transformer import (
MemTransformerConfig,
)
from archai.discrete_search.search_spaces.nlp.transformer_flex.models.mem_transfo... | archai/tests/discrete_search/search_spaces/nlp/transformer_flex/models/test_modeling_mem_transformer.py/0 | {
"file_path": "archai/tests/discrete_search/search_spaces/nlp/transformer_flex/models/test_modeling_mem_transformer.py",
"repo_id": "archai",
"token_count": 507
} | 345 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import pytest
import torch
from archai.quantization.observers import OnnxDynamicObserver
@pytest.fixture
def onnx_dynamic_observer():
return OnnxDynamicObserver(dtype=torch.qint8)
def test_onnx_dynamic_observer_init(onnx_dynamic_observer... | archai/tests/quantization/test_observers.py/0 | {
"file_path": "archai/tests/quantization/test_observers.py",
"repo_id": "archai",
"token_count": 474
} | 346 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import os
from archai.trainers.nlp.nvidia_training_args import NvidiaTrainingArguments
def test_nvidia_training_arguments():
# Assert that the default values are correct
args = NvidiaTrainingArguments("tmp", no_cuda=True)
assert ar... | archai/tests/trainers/nlp/test_nvidia_training_args.py/0 | {
"file_path": "archai/tests/trainers/nlp/test_nvidia_training_args.py",
"repo_id": "archai",
"token_count": 738
} | 347 |
param (
[switch] $KeepPsReadLine = $false
)
$tempFile = [IO.Path]::GetTempFileName()
cmd.exe /C "$PSScriptRoot\init.cmd && set>$tempFile"
$lines = [System.IO.File]::ReadAllLines("$tempFile")
$curLoc = get-location
$lines|ForEach-Object -Begin { set-location env: } -End { set-location $curLoc } -Process {
$var ... | azure-devops-python-api/scripts/windows/init.ps1/0 | {
"file_path": "azure-devops-python-api/scripts/windows/init.ps1",
"repo_id": "azure-devops-python-api",
"token_count": 478
} | 348 |
# coding=utf-8
# pylint: disable=too-many-lines
# --------------------------------------------------------------------------
# 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) AutoRe... | azure-quantum-python/azure-quantum/azure/quantum/_client/models/_models.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/_client/models/_models.py",
"repo_id": "azure-quantum-python",
"token_count": 15839
} | 349 |
##
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
##
import numpy as np
from typing import TYPE_CHECKING, Any, Dict, Sequence
from azure.quantum.cirq.targets.target import Target as CirqTarget
from azure.quantum.cirq.job import Job as CirqJob
from azure.quantum.target.quantinuum import Quant... | azure-quantum-python/azure-quantum/azure/quantum/cirq/targets/quantinuum.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/cirq/targets/quantinuum.py",
"repo_id": "azure-quantum-python",
"token_count": 1942
} | 350 |
##
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
##
from typing import Dict, List, Union
from azure.quantum.qiskit.job import AzureQuantumJob
from azure.quantum.version import __version__
import warnings
from .backend import AzureBackend, AzureQirBackend
from abc import abstractmethod
from ... | azure-quantum-python/azure-quantum/azure/quantum/qiskit/backends/quantinuum.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/qiskit/backends/quantinuum.py",
"repo_id": "azure-quantum-python",
"token_count": 6378
} | 351 |
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
import re
import warnings
from dataclasses import dataclass, field
from typing import Any, Dict, Optional, Type, Union, List
from ...job import Job
from ...job.base_job import ContentType
from ...workspace import Worksp... | azure-quantum-python/azure-quantum/azure/quantum/target/microsoft/target.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/azure/quantum/target/microsoft/target.py",
"repo_id": "azure-quantum-python",
"token_count": 7448
} | 352 |
name: azurequantum
channels:
- quantum-engineering
- conda-forge
dependencies:
- python=3.9
- pip>=22.3.1
- pytest>=7.1.2
- pip:
- -e .[all]
| azure-quantum-python/azure-quantum/environment.yml/0 | {
"file_path": "azure-quantum-python/azure-quantum/environment.yml",
"repo_id": "azure-quantum-python",
"token_count": 75
} | 353 |
#!/bin/env python
# -*- coding: utf-8 -*-
##
# setup.py: Installs Python host functionality for azure-quantum.
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
# IMPORTS #
import setuptools
import os
import glob
import re
# VERSION INFORMATION #
# Our build process ... | azure-quantum-python/azure-quantum/setup.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/setup.py",
"repo_id": "azure-quantum-python",
"token_count": 1176
} | 354 |
##
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
##
import unittest
from azure.quantum.workspace import Workspace
import pytest
import numpy as np
from cirq import ParamResolver
from azure.quantum.job.job import Job
from azure.quantum.cirq import AzureQuantumService
fr... | azure-quantum-python/azure-quantum/tests/unit/test_cirq.py/0 | {
"file_path": "azure-quantum-python/azure-quantum/tests/unit/test_cirq.py",
"repo_id": "azure-quantum-python",
"token_count": 5015
} | 355 |
<jupyter_start><jupyter_text>ππ Hello, world: Submit a Cirq job to IonQIn this notebook, we'll review the basics of Azure Quantum by submitting a simple *job*, or quantum program, to [IonQ](https://ionq.com/). We will use [Cirq](https://quantumai.google/cirq) to express the quantum job. Submit a simple job to IonQ u... | azure-quantum-python/samples/hello-world/HW-ionq-cirq.ipynb/0 | {
"file_path": "azure-quantum-python/samples/hello-world/HW-ionq-cirq.ipynb",
"repo_id": "azure-quantum-python",
"token_count": 1528
} | 356 |
<jupyter_start><jupyter_text>Getting Started with Azure Quantum Resource Estimation using Qiskitπ Welcome to the Azure Quantum Resource Estimator. In this notebook we willguide you how to estimate and analyze the physical resource estimates of aquantum program targeted for execution based on the architecture design of... | azure-quantum-python/samples/resource-estimator/estimation-qiskit.ipynb/0 | {
"file_path": "azure-quantum-python/samples/resource-estimator/estimation-qiskit.ipynb",
"repo_id": "azure-quantum-python",
"token_count": 7242
} | 357 |
{
"name": "quantum-visualization-js",
"version": "1.0.0",
"description": "",
"license": "MIT",
"author": "",
"main": "dist/index.js",
"module": "dist/index.js",
"files": [
"dist"
],
"scripts": {
"build": "webpack --mode development",
"build:prod": "webpack --mode production",
"sortpa... | azure-quantum-python/visualization/js-lib/package.json/0 | {
"file_path": "azure-quantum-python/visualization/js-lib/package.json",
"repo_id": "azure-quantum-python",
"token_count": 405
} | 358 |
/*------------------------------------
Copyright (c) Microsoft Corporation.
Licensed under the MIT License.
All rights reserved.
------------------------------------ */
import React from "react";
import { IColumn, IGroup, ThemeProvider } from "@fluentui/react";
import { JobResults } from "../../models/JobResults... | azure-quantum-python/visualization/react-lib/src/components/resource-estimator/SpaceDiagram.tsx/0 | {
"file_path": "azure-quantum-python/visualization/react-lib/src/components/resource-estimator/SpaceDiagram.tsx",
"repo_id": "azure-quantum-python",
"token_count": 2022
} | 359 |
bistr
=====
.. testsetup:: *
from bistring import bistr, Alignment
.. autoclass:: bistring.bistr
| bistring/docs/Python/bistr.rst/0 | {
"file_path": "bistring/docs/Python/bistr.rst",
"repo_id": "bistring",
"token_count": 43
} | 360 |
/*!
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT license.
*/
import Alignment, { Bounds } from "./alignment";
import BiStringBuilder from "./builder";
import heuristicInfer from "./infer";
import { Replacer, normalizeReplacer, cloneRegExp } from "./regex";
import * as unicode... | bistring/js/src/bistring.ts/0 | {
"file_path": "bistring/js/src/bistring.ts",
"repo_id": "bistring",
"token_count": 8427
} | 361 |
bistring
========
|PyPI version|
The bistring library provides non-destructive versions of common string processing operations like normalization, case folding, and find/replace.
Each bistring remembers the original string, and how its substrings map to substrings of the modified version.
For example:
.. code-block... | bistring/python/README.rst/0 | {
"file_path": "bistring/python/README.rst",
"repo_id": "bistring",
"token_count": 552
} | 362 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
from bistring import Alignment
import pytest
def test_empty():
pytest.raises(ValueError, Alignment, [])
alignment = Alignment.identity(0)
assert list(alignment) == [(0, 0)]
assert alignment.original_bounds... | bistring/python/tests/test_alignment.py/0 | {
"file_path": "bistring/python/tests/test_alignment.py",
"repo_id": "bistring",
"token_count": 1938
} | 363 |
{
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
"type": "AdaptiveCard",
"version": "1.0",
"body": [
{
"type": "Image",
"url": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQtB3AwMUeNoq4gUBGe6Ocj8kyh3bXa9ZbV7u1fVKQoyKFHdkqU",
"size": "stretch"
},
{
... | botbuilder-python/generators/app/templates/core/{{cookiecutter.bot_name}}/cards/welcomeCard.json/0 | {
"file_path": "botbuilder-python/generators/app/templates/core/{{cookiecutter.bot_name}}/cards/welcomeCard.json",
"repo_id": "botbuilder-python",
"token_count": 618
} | 364 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from botbuilder.core import MessageFactory
from botbuilder.dialogs import WaterfallDialog, DialogTurnResult, WaterfallStepContext
from botbuilder.dialogs.prompts import (
DateTimePrompt,
PromptValidatorContext,
Pr... | botbuilder-python/generators/app/templates/core/{{cookiecutter.bot_name}}/dialogs/date_resolver_dialog.py/0 | {
"file_path": "botbuilder-python/generators/app/templates/core/{{cookiecutter.bot_name}}/dialogs/date_resolver_dialog.py",
"repo_id": "botbuilder-python",
"token_count": 1212
} | 365 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
class SlackAdapterOptions:
"""
Class for defining implementation of the SlackAdapter Options.
"""
def __init__(self):
self.verify_incoming_requests = True
| botbuilder-python/libraries/botbuilder-adapters-slack/botbuilder/adapters/slack/slack_adatper_options.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-adapters-slack/botbuilder/adapters/slack/slack_adatper_options.py",
"repo_id": "botbuilder-python",
"token_count": 83
} | 366 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from datetime import datetime
from botbuilder.schema import (
Activity,
ActivityTypes,
ChannelAccount,
ConversationAccount,
)
class ActivityUtil:
@staticmethod
def create_trace(
turn_activit... | botbuilder-python/libraries/botbuilder-ai/botbuilder/ai/luis/activity_util.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-ai/botbuilder/ai/luis/activity_util.py",
"repo_id": "botbuilder-python",
"token_count": 1071
} | 367 |
# 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.
# ---------------------------------------------------------------------... | botbuilder-python/libraries/botbuilder-ai/botbuilder/ai/qna/models/__init__.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-ai/botbuilder/ai/qna/models/__init__.py",
"repo_id": "botbuilder-python",
"token_count": 320
} | 368 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
class QnAMakerEndpoint:
def __init__(self, knowledge_base_id: str, endpoint_key: str, host: str):
if not knowledge_base_id:
raise TypeError("QnAMakerEndpoint.knowledge_base_id cannot be empty.")
... | botbuilder-python/libraries/botbuilder-ai/botbuilder/ai/qna/qnamaker_endpoint.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-ai/botbuilder/ai/qna/qnamaker_endpoint.py",
"repo_id": "botbuilder-python",
"token_count": 245
} | 369 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# pylint: disable=no-value-for-parameter
import json
from os import path
from typing import Dict, Tuple, Union
import re
from unittest import mock
from unittest.mock import MagicMock
from aioresponses import aioresponses
fr... | botbuilder-python/libraries/botbuilder-ai/tests/luis/luis_recognizer_v3_test.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-ai/tests/luis/luis_recognizer_v3_test.py",
"repo_id": "botbuilder-python",
"token_count": 4065
} | 370 |
{
"entities": {
"$instance": {
"child": [
{
"endIndex": 99,
"modelType": "Prebuilt Entity Extractor",
"recognitionSources": [
"model"
],
"startIndex": 87,
"text": "lisa simpson",
"type": "builti... | botbuilder-python/libraries/botbuilder-ai/tests/luis/test_data/GeoPeopleOrdinal_v3.json/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-ai/tests/luis/test_data/GeoPeopleOrdinal_v3.json",
"repo_id": "botbuilder-python",
"token_count": 5435
} | 371 |
{
"answers": [
{
"questions": [
"Where can you find Squirtle"
],
"answer": "Did you not see him in the first three balls?",
"score": 80.22,
"id": 28,
"source": "Editorial",
"metadata": [
{
... | botbuilder-python/libraries/botbuilder-ai/tests/qna/test_data/RetrunsAnswer_WithStrictFilter_Or_Operator.json/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-ai/tests/qna/test_data/RetrunsAnswer_WithStrictFilter_Or_Operator.json",
"repo_id": "botbuilder-python",
"token_count": 1357
} | 372 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import datetime
import inspect
import sys
import time
import uuid
from applicationinsights.channel import TelemetryContext, contracts
from django.http import Http404
from . import common
try:
basestring # Python 2
exc... | botbuilder-python/libraries/botbuilder-applicationinsights/botbuilder/applicationinsights/django/middleware.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-applicationinsights/botbuilder/applicationinsights/django/middleware.py",
"repo_id": "botbuilder-python",
"token_count": 4479
} | 373 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import json
from typing import Dict, List
from jsonpickle import encode
from jsonpickle.unpickler import Unpickler
from azure.core import MatchConditions
from azure.core.exceptions import (
HttpResponseError,
Resourc... | botbuilder-python/libraries/botbuilder-azure/botbuilder/azure/blob_storage.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-azure/botbuilder/azure/blob_storage.py",
"repo_id": "botbuilder-python",
"token_count": 2804
} | 374 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# TODO: enable this in the future
# With python 3.7 the line below will allow to do Postponed Evaluation of Annotations. See PEP 563
# from __future__ import annotations
import asyncio
import inspect
import uuid
from datetim... | botbuilder-python/libraries/botbuilder-core/botbuilder/core/adapters/test_adapter.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-core/botbuilder/core/adapters/test_adapter.py",
"repo_id": "botbuilder-python",
"token_count": 11031
} | 375 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from abc import ABC
from botbuilder.schema import Activity
from botbuilder.core import InvokeResponse
class BotFrameworkClient(ABC):
def post_activity(
self,
from_bot_id: str,
to_bot_id: str,
... | botbuilder-python/libraries/botbuilder-core/botbuilder/core/skills/bot_framework_client.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-core/botbuilder/core/skills/bot_framework_client.py",
"repo_id": "botbuilder-python",
"token_count": 188
} | 376 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import json
from botframework.streaming.payloads.models import Serializable
class VersionInfo(Serializable):
def __init__(self, *, user_agent: str = None):
self.user_agent = user_agent
def to_json(self) ->... | botbuilder-python/libraries/botbuilder-core/botbuilder/core/streaming/version_info.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-core/botbuilder/core/streaming/version_info.py",
"repo_id": "botbuilder-python",
"token_count": 210
} | 377 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from typing import Awaitable, Callable
from botbuilder.core import Middleware, TurnContext
class CallCountingMiddleware(Middleware):
def __init__(self):
self.counter = 0
def on_turn( # pylint: disable=unus... | botbuilder-python/libraries/botbuilder-core/tests/call_counting_middleware.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-core/tests/call_counting_middleware.py",
"repo_id": "botbuilder-python",
"token_count": 156
} | 378 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from unittest.mock import MagicMock
import aiounittest
from botbuilder.core import (
BotState,
ConversationState,
MemoryStorage,
Storage,
StoreItem,
TurnContext,
UserState,
)
from botbuilder.core.... | botbuilder-python/libraries/botbuilder-core/tests/test_bot_state.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-core/tests/test_bot_state.py",
"repo_id": "botbuilder-python",
"token_count": 7278
} | 379 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import aiounittest
from botbuilder.core import TurnContext, MemoryStorage, UserState
from botbuilder.core.adapters import TestAdapter
from botbuilder.schema import Activity, ChannelAccount
RECEIVED_MESSAGE = Activity(
t... | botbuilder-python/libraries/botbuilder-core/tests/test_user_state.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-core/tests/test_user_state.py",
"repo_id": "botbuilder-python",
"token_count": 964
} | 380 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
class FoundValue:
"""Represents a result from matching user input against a list of choices"""
def __init__(self, value: str, index: int, score: float):
"""
Parameters:
----------
va... | botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/choices/found_value.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/choices/found_value.py",
"repo_id": "botbuilder-python",
"token_count": 227
} | 381 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from enum import Enum
class DialogReason(Enum):
"""
Indicates in which a dialog-related method is being called.
:var BeginCalled: A dialog is being started through a call to :meth:`DialogContext.begin()`.
:v... | botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/dialog_reason.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/dialog_reason.py",
"repo_id": "botbuilder-python",
"token_count": 394
} | 382 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from .alias_path_resolver import AliasPathResolver
class AtPathResolver(AliasPathResolver):
_DELIMITERS = [".", "["]
def __init__(self):
super().__init__(alias="@", prefix="")
self._PREFIX = "turn.... | botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/memory/path_resolvers/at_path_resolver.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/memory/path_resolvers/at_path_resolver.py",
"repo_id": "botbuilder-python",
"token_count": 560
} | 383 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from botbuilder.core import UserState
from botbuilder.dialogs.memory import scope_path
from .bot_state_memory_scope import BotStateMemoryScope
class UserMemoryScope(BotStateMemoryScope):
def __init__(self):
sup... | botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/memory/scopes/user_memory_scope.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/memory/scopes/user_memory_scope.py",
"repo_id": "botbuilder-python",
"token_count": 106
} | 384 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from typing import List
from botbuilder.schema import Activity
from botbuilder.dialogs.choices import Choice, ListStyle
class PromptOptions:
"""
Contains settings to pass to a :class:`Prompt` object when the prompt... | botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/prompts/prompt_options.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/botbuilder/dialogs/prompts/prompt_options.py",
"repo_id": "botbuilder-python",
"token_count": 626
} | 385 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import unittest
from typing import List
from botbuilder.dialogs.choices import Choice
from botbuilder.schema import CardAction
class ChoiceTest(unittest.TestCase):
def test_value_round_trips(self) -> None:
choi... | botbuilder-python/libraries/botbuilder-dialogs/tests/choices/test_choice.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/tests/choices/test_choice.py",
"repo_id": "botbuilder-python",
"token_count": 302
} | 386 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import aiounittest
from botbuilder.dialogs.prompts import OAuthPromptSettings
from botbuilder.schema import (
Activity,
ActivityTypes,
ChannelAccount,
ConversationAccount,
InputHints,
SignInConstants,
... | botbuilder-python/libraries/botbuilder-dialogs/tests/test_oauth_prompt.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-dialogs/tests/test_oauth_prompt.py",
"repo_id": "botbuilder-python",
"token_count": 6864
} | 387 |
from .aio_http_client_factory import AioHttpClientFactory
from .skill_http_client import SkillHttpClient
__all__ = ["AioHttpClientFactory", "SkillHttpClient"]
| botbuilder-python/libraries/botbuilder-integration-aiohttp/botbuilder/integration/aiohttp/skills/__init__.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-integration-aiohttp/botbuilder/integration/aiohttp/skills/__init__.py",
"repo_id": "botbuilder-python",
"token_count": 48
} | 388 |
from unittest.mock import Mock
from aiounittest import AsyncTestCase
import aiohttp # pylint: disable=unused-import
from botbuilder.integration.applicationinsights.aiohttp import (
aiohttp_telemetry_middleware,
AiohttpTelemetryProcessor,
)
class TestAiohttpTelemetryProcessor(AsyncTestCase):
# pylint: d... | botbuilder-python/libraries/botbuilder-integration-applicationinsights-aiohttp/tests/test_aiohttp_processor.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-integration-applicationinsights-aiohttp/tests/test_aiohttp_processor.py",
"repo_id": "botbuilder-python",
"token_count": 363
} | 389 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import aiounittest
from botframework.connector.models import (
MessageActionsPayloadFrom,
MessageActionsPayloadBody,
MessageActionsPayloadAttachment,
MessageActionsPayloadMention,
MessageActionsPayloadReac... | botbuilder-python/libraries/botbuilder-schema/tests/teams/test_message_actions_payload.py/0 | {
"file_path": "botbuilder-python/libraries/botbuilder-schema/tests/teams/test_message_actions_payload.py",
"repo_id": "botbuilder-python",
"token_count": 2051
} | 390 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from .http_client_base import HttpClientBase
from .http_request import HttpRequest
from .http_response_base import HttpResponseBase
class _NotImplementedHttpClient(HttpClientBase):
async def post(
self, *, reque... | botbuilder-python/libraries/botframework-connector/botframework/connector/_not_implemented_http_client.py/0 | {
"file_path": "botbuilder-python/libraries/botframework-connector/botframework/connector/_not_implemented_http_client.py",
"repo_id": "botbuilder-python",
"token_count": 168
} | 391 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from logging import Logger
from botbuilder.schema import CallerIdConstants
from ..bot_framework_sdk_client_async import BotFrameworkConnectorConfiguration
from ..http_client_factory import HttpClientFactory
from .service_c... | botbuilder-python/libraries/botframework-connector/botframework/connector/auth/_public_cloud_bot_framework_authentication.py/0 | {
"file_path": "botbuilder-python/libraries/botframework-connector/botframework/connector/auth/_public_cloud_bot_framework_authentication.py",
"repo_id": "botbuilder-python",
"token_count": 534
} | 392 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from abc import ABC
from typing import Union
from .authentication_configuration import AuthenticationConfiguration
from .authentication_constants import AuthenticationConstants
from .channel_validation import ChannelValidati... | botbuilder-python/libraries/botframework-connector/botframework/connector/auth/enterprise_channel_validation.py/0 | {
"file_path": "botbuilder-python/libraries/botframework-connector/botframework/connector/auth/enterprise_channel_validation.py",
"repo_id": "botbuilder-python",
"token_count": 1919
} | 393 |
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