text stringlengths 5 22M | id stringlengths 12 177 | metadata dict | __index_level_0__ int64 0 1.37k |
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<advance width="1200"/>
<unicode hex="F0A14"/>
<note>
square-medium-outline
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<?xml version='1.0' encoding='UTF-8'?>
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star-check-outline
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
star-off
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<?xml version='1.0' encoding='UTF-8'?>
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steering
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="sticker-plus" format="2">
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<note>
sticker-plus
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<?xml version='1.0' encoding='UTF-8'?>
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store-alert-outline
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<?xml version='1.0' encoding='UTF-8'?>
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store-outline
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<?xml version='1.0' encoding='UTF-8'?>
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table-furniture
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<?xml version='1.0' encoding='UTF-8'?>
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tablet-android
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<?xml version='1.0' encoding='UTF-8'?>
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text-shadow
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<?xml version='1.0' encoding='UTF-8'?>
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timeline-clock
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<?xml version='1.0' encoding='UTF-8'?>
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timer-sand-complete
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<?xml version='1.0' encoding='UTF-8'?>
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tooltip-check
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tooth" format="2">
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tooth
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<?xml version='1.0' encoding='UTF-8'?>
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triangle-outline
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<?xml version='1.0' encoding='UTF-8'?>
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unity
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<?xml version='1.0' encoding='UTF-8'?>
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vector-polyline-remove
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<?xml version='1.0' encoding='UTF-8'?>
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view-dashboard-outline
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="view-module" format="2">
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<note>
view-module
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
volume-source
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
warehouse
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
water-boiler
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
xml
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
POWER ON SYMBOL
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
arrow-left
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<note>
bookmark
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<note>
chevron-right
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
debug-continue
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ellipsis
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<note>
file-symlink-file
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graph-line
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
list-flat
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
preserve-case
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} | 732 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="remote" format="2">
<advance width="1200"/>
<unicode hex="EB3A"/>
<note>
remote
</note>
<outline>
<contour>
<point x="1058" y="447" type="line"/>
<point x="1126" y="515" type="line"/>
<point x="702" y="933" type="line"/>
<point x="1... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/remote.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/remote.glif",
"repo_id": "cascadia-code",
"token_count": 398
} | 733 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-boolean" format="2">
<advance width="1200"/>
<unicode hex="EA8F"/>
<note>
symbol-boolean
</note>
<outline>
<contour>
<point x="20" y="338" type="line"/>
<point x="60" y="294" type="line"/>
<point x="1140" y="294" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-boolean.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-boolean.glif",
"repo_id": "cascadia-code",
"token_count": 774
} | 734 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="uniE6AD" format="2">
<advance width="1200"/>
<unicode hex="E7AD"/>
<note>
uniE6AD
</note>
<outline>
<contour>
<point x="336" y="469" type="line"/>
<point x="192" y="518" type="line"/>
<point x="192" y="306" type="line"/>
<point x="3... | cascadia-code/sources/nerdfonts/full/processed/devicons.ufo/glyphs/uniE_6A_D_.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/devicons.ufo/glyphs/uniE_6A_D_.glif",
"repo_id": "cascadia-code",
"token_count": 1649
} | 735 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="disco" format="2">
<advance width="1200"/>
<unicode hex="E271"/>
<note>
disco
</note>
<outline>
<contour>
<point x="1180" y="950"/>
<point x="840" y="1288"/>
<point x="360" y="1288"/>
<point x="20" y="950"/>
<point x="20" y="4... | cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/disco.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/disco.glif",
"repo_id": "cascadia-code",
"token_count": 593
} | 736 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="refrigerator" format="2">
<advance width="1200"/>
<unicode hex="E23B"/>
<note>
refrigerator
</note>
<outline>
<contour>
<point x="888" y="29" type="qcurve"/>
<point x="876" y="29" type="line"/>
<point x="324" y="29" type="line"/>
<p... | cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/refrigerator.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/refrigerator.glif",
"repo_id": "cascadia-code",
"token_count": 1612
} | 737 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="grabber" format="2">
<advance width="1200"/>
<unicode hex="F4A6"/>
<note>
grabber
</note>
<outline>
<contour>
<point x="1026" y="83"/>
<point x="1026" y="201"/>
<point x="943" y="284"/>
<point x="825" y="284"/>
<point x="742" ... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/grabber.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/grabber.glif",
"repo_id": "cascadia-code",
"token_count": 1061
} | 738 |
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>ascender</key>
<integer>819</integer>
<key>capHeight</key>
<integer>0</integer>
<key>copyright</key>
<string>Nerd Font... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/fontinfo.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/fontinfo.plist",
"repo_id": "cascadia-code",
"token_count": 1331
} | 739 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_custom_windows" format="2">
<advance width="1200"/>
<unicode hex="E62A"/>
<note>
i_custom_windows
</note>
<outline>
<contour>
<point x="620" y="690" type="line"/>
<point x="620" y="410" type="line"/>
<point x="620" y="130" type="line"/>... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_custom_windows.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_custom_windows.glif",
"repo_id": "cascadia-code",
"token_count": 634
} | 740 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_default" format="2">
<advance width="1200"/>
<unicode hex="E64E"/>
<note>
i_seti_default
</note>
<outline>
<contour>
<point x="1180" y="604" type="line"/>
<point x="20" y="604" type="line"/>
<point x="20" y="449" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_default.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_default.glif",
"repo_id": "cascadia-code",
"token_count": 558
} | 741 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_hex" format="2">
<advance width="1200"/>
<unicode hex="E667"/>
<note>
i_seti_hex
</note>
<outline>
<contour>
<point x="310" y="208" type="line"/>
<point x="890" y="208" type="line"/>
<point x="1180" y="710" type="line"/>
<poi... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_hex.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_hex.glif",
"repo_id": "cascadia-code",
"token_count": 441
} | 742 |
# Support
## How to file issues and get help
This project uses GitHub Issues to track bugs and feature requests. Please search the existing
issues before filing new issues to avoid duplicates. For new issues, file your bug or
feature request as a new Issue.
## Microsoft Support Policy
Support for this projec... | causica/SUPPORT.md/0 | {
"file_path": "causica/SUPPORT.md",
"repo_id": "causica",
"token_count": 85
} | 743 |
from typing import Tuple
import torch
import torchsde
from scotch.sdes.sdes_core import SDE
from tensordict import TensorDict
from torch import Tensor
def generate_and_return_trajectories(
sde_class: SDE,
z0: Tensor,
num_time_points: int,
t_max: float,
device: str = "cuda",
normalize: bool = ... | causica/research_experiments/scotch/src/scotch/dataset_generation/generate_trajectories.py/0 | {
"file_path": "causica/research_experiments/scotch/src/scotch/dataset_generation/generate_trajectories.py",
"repo_id": "causica",
"token_count": 914
} | 744 |
from dataclasses import dataclass, field
import torch
from tensordict import TensorDictBase
@dataclass
class InterventionData:
"""
Dataclass to hold the data associated with an intervention
This represents one intervention and many samples from the intervened distribution
The class also stores `sam... | causica/src/causica/datasets/interventional_data.py/0 | {
"file_path": "causica/src/causica/datasets/interventional_data.py",
"repo_id": "causica",
"token_count": 877
} | 745 |
from typing import Generic, TypeVar
from torch import distributions as td
from torch import nn
DistributionType_co = TypeVar("DistributionType_co", bound=td.Distribution, covariant=True)
class DistributionModule(Generic[DistributionType_co], nn.Module):
"""Baseclass for modules returning distributions.
Use... | causica/src/causica/distributions/distribution_module.py/0 | {
"file_path": "causica/src/causica/distributions/distribution_module.py",
"repo_id": "causica",
"token_count": 227
} | 746 |
from typing import Generic, Mapping, TypeVar
import torch
import torch.distributions as td
from tensordict import TensorDictBase
from torch import nn
from causica.distributions.transforms.base import TransformModule, TypedTransform
class JointTransform(TypedTransform[TensorDictBase, TensorDictBase]):
"""A joint... | causica/src/causica/distributions/transforms/joint.py/0 | {
"file_path": "causica/src/causica/distributions/transforms/joint.py",
"repo_id": "causica",
"token_count": 1587
} | 747 |
import abc
import pytorch_lightning as pl
import torch
from tensordict import TensorDict
from causica.datasets.variable_types import VariableTypeEnum
class DECIDataModule(pl.LightningDataModule, abc.ABC):
"""An Abstract Data Module containing the methods required by a `DECIModule`."""
@property
@abc.ab... | causica/src/causica/lightning/data_modules/deci_data_module.py/0 | {
"file_path": "causica/src/causica/lightning/data_modules/deci_data_module.py",
"repo_id": "causica",
"token_count": 403
} | 748 |
import networkx as nx
import torch
from causica.distributions import ErdosRenyiDAGDistribution
def test_samples_dags():
"""Test that all samples are DAGs"""
p = torch.tensor([[0.7, 0.4]])
n = 5
sample_shape = torch.Size([3, 4])
dist = ErdosRenyiDAGDistribution(num_nodes=n, probs=p)
samples = ... | causica/test/distributions/adjacency/test_directed_acyclic.py/0 | {
"file_path": "causica/test/distributions/adjacency/test_directed_acyclic.py",
"repo_id": "causica",
"token_count": 860
} | 749 |
"""Tests for the different TransformModules to make sure tensors are properly registered."""
import io
import itertools
from typing import Any, TypeVar
import pytest
import torch
from tensordict import TensorDictBase, make_tensordict
from causica.distributions.transforms import SequentialTransformModule
from causica.... | causica/test/distributions/transforms/test_transform_modules.py/0 | {
"file_path": "causica/test/distributions/transforms/test_transform_modules.py",
"repo_id": "causica",
"token_count": 1910
} | 750 |
import pytest
import torch
from causica.nn import DECIEmbedNN
PROCESSED_DIM = 6
NODE_NUM = 4
GROUP_MASK = torch.tensor(
[
[1, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 0, 0, 0, 1, 1],
],
dtype=torch.float32,
)
assert GROUP_MASK.shape == (NODE_NUM, PROCESSE... | causica/test/nn/test_deci_embed_nn.py/0 | {
"file_path": "causica/test/nn/test_deci_embed_nn.py",
"repo_id": "causica",
"token_count": 465
} | 751 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import math
from typing import Union
import torch
import torch.nn.functional as F
from torch import nn
from torch.nn.modules.utils import _pair, _single, _triple
from ...cliffordkernels import (
get_1d_clifford_kernel,
get_2d_clifford_k... | cliffordlayers/cliffordlayers/nn/modules/cliffordconv.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/nn/modules/cliffordconv.py",
"repo_id": "cliffordlayers",
"token_count": 5423
} | 752 |
# Installation Guide
```bash
pip install cliffordlayers
```
## For development
```bash title="clone the repo"
git clone https://github.com/microsoft/cliffordlayers
```
=== "`conda`"
```bash title="create and activate env"
cd cliffordlayers
conda env create --file docker/environment.yml
conda activat... | cliffordlayers/docs/install.md/0 | {
"file_path": "cliffordlayers/docs/install.md",
"repo_id": "cliffordlayers",
"token_count": 300
} | 753 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
from cliffordlayers.nn.functional.batchnorm import (
clifford_batch_norm,
complex_batch_norm,
)
from cliffordlayers.nn.modules.batchnorm import (
CliffordBatchNorm1d,
CliffordBatchNorm2d,
CliffordBatchNorm3d,
... | cliffordlayers/tests/test_clifford_batchnorm.py/0 | {
"file_path": "cliffordlayers/tests/test_clifford_batchnorm.py",
"repo_id": "cliffordlayers",
"token_count": 2735
} | 754 |
#!/bin/bash
# download and install miniconda
# please update the link below according to the platform you are using (https://conda.io/miniconda.html)
# e.g. for Mac, change to https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.... | constrained-graph-variational-autoencoder/install.sh/0 | {
"file_path": "constrained-graph-variational-autoencoder/install.sh",
"repo_id": "constrained-graph-variational-autoencoder",
"token_count": 344
} | 755 |
{
"project_name": "spaCy FastAPI Azure Cognitive Skill",
"project_slug": "{{ cookiecutter.project_name.lower().replace(' ', '_').replace('-', '_') }}",
"short_description": "spaCy FastAPI for Custom Cognitive Skills in Azure Search",
"spacy_model": "This must be one of spaCy's default models. See https:... | cookiecutter-spacy-fastapi/cookiecutter.json/0 | {
"file_path": "cookiecutter-spacy-fastapi/cookiecutter.json",
"repo_id": "cookiecutter-spacy-fastapi",
"token_count": 118
} | 756 |
const axios = require('axios')
const fs = require('fs')
const pjson = require('../package.json')
const { convertData } = require('../src/float-utils-node.js')
const CollaborativeTrainer64 = artifacts.require("./CollaborativeTrainer64")
const DataHandler64 = artifacts.require("./data/DataHandler64")
const NearestCentr... | 0xDeCA10B/demo/client/migrations/3_deploy_VPA_classifier.js/0 | {
"file_path": "0xDeCA10B/demo/client/migrations/3_deploy_VPA_classifier.js",
"repo_id": "0xDeCA10B",
"token_count": 1250
} | 0 |
pragma solidity ^0.6;
import "../../lib/SafeMath.sol";
import {Classifier64} from "./classification/Classifier.sol";
import {DataHandler64} from "./data/DataHandler.sol";
import {IncentiveMechanism64} from "./incentive/IncentiveMechanism.sol";
/**
* The main interface to sharing updatable models on the blockchain.
... | 0xDeCA10B/demo/client/src/contracts/CollaborativeTrainer.sol/0 | {
"file_path": "0xDeCA10B/demo/client/src/contracts/CollaborativeTrainer.sol",
"repo_id": "0xDeCA10B",
"token_count": 1770
} | 1 |
const _toFloat = 1E9
exports.convertNum = function (num, web3, toFloat = _toFloat) {
return web3.utils.toBN(Math.round(num * toFloat))
}
exports.convertData = function (data, web3, toFloat = _toFloat) {
return data.map(num => exports.convertNum(num, web3, toFloat))
}
| 0xDeCA10B/demo/client/src/float-utils-node.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/float-utils-node.js",
"repo_id": "0xDeCA10B",
"token_count": 104
} | 2 |
import axios from 'axios'
import { DataStore, DataStoreHealthStatus, ModelInformation, ModelsResponse, OriginalData, RemoveResponse } from './data-store'
export class ServiceDataStore implements DataStore {
url = ''
constructor(url?: string) {
if (url !== undefined) {
this.url = url
} else if (process.env.NO... | 0xDeCA10B/demo/client/src/storage/service-data-store.ts/0 | {
"file_path": "0xDeCA10B/demo/client/src/storage/service-data-store.ts",
"repo_id": "0xDeCA10B",
"token_count": 983
} | 3 |
exports.assertCloseToNumbers = function (actual, expected, delta,
web3,
messagePrefix) {
messagePrefix = messagePrefix ? messagePrefix + ": " : ""
if (web3.utils.isBN(actual)) {
if (web3.utils.isBN(expected)) {
const message = `${messagePrefix}actual (BN): ${actual} (${typeof actual})\nexpected (BN): ${expecte... | 0xDeCA10B/demo/client/test/float-test-utils-node.js/0 | {
"file_path": "0xDeCA10B/demo/client/test/float-test-utils-node.js",
"repo_id": "0xDeCA10B",
"token_count": 811
} | 4 |
from abc import ABC, abstractmethod
from injector import Module, inject, singleton
from decai.simulation.contract.balances import Balances
from decai.simulation.contract.classification.classifier import Classifier
from decai.simulation.contract.data.data_handler import DataHandler
from decai.simulation.contract.incen... | 0xDeCA10B/simulation/decai/simulation/contract/collab_trainer.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/collab_trainer.py",
"repo_id": "0xDeCA10B",
"token_count": 2134
} | 5 |
import mmh3
from injector import Module
from decai.simulation.data.featuremapping.hashing.token_hash import TokenHash
class MurmurHash3(TokenHash):
def hash(self, text: str) -> int:
# Made to be equivalent to the JavaScript demo code.
return mmh3.hash(text, signed=False)
class MurmurHash3Module... | 0xDeCA10B/simulation/decai/simulation/data/featuremapping/hashing/murmurhash3.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/featuremapping/hashing/murmurhash3.py",
"repo_id": "0xDeCA10B",
"token_count": 148
} | 6 |
import os
from dataclasses import dataclass, field
from logging import Logger
from typing import List
import numpy as np
import pandas as pd
from injector import inject, Module
from sklearn.utils import shuffle
from decai.simulation.data.data_loader import DataLoader
@inject
@dataclass
class TitanicDataLoader(DataL... | 0xDeCA10B/simulation/decai/simulation/data/titanic_data_loader.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/titanic_data_loader.py",
"repo_id": "0xDeCA10B",
"token_count": 2322
} | 7 |
# Lab 9 - 强化学习系统练习（RLlib的实践与应用）
## 实验目的
1. 通过快速上手RLlib
2. 理解分布式强化学习系统的各模块的构成
3. 理解强化学习的分布式算法及其性能
## 实验环境
* Linux集群（至少两台Linux机器）
* Python==3.7.6
* ray
* rllib
* PyTorch==1.5.0
## 实验原理
RLlib是由UC Berkeley发起的一个开源的强化学习（Reinforcement Learning，简称RL）框架， 提供了高度可扩展性的API， 可以让用户在其框架上实现不同的RL算法，或者将已有的算法跑在分布式平台上。Rllib既可以支持多种多样不同... | AI-System/Labs/AdvancedLabs/Lab9/README.md/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab9/README.md",
"repo_id": "AI-System",
"token_count": 3417
} | 8 |
from setuptools import setup, Extension
from torch.utils import cpp_extension
setup(name='mylinear_cpp',
ext_modules=[cpp_extension.CppExtension('mylinear_cpp', ['mylinear.cpp'])],
cmdclass={'build_ext': cpp_extension.BuildExtension}) | AI-System/Labs/BasicLabs/Lab2/mylinear_cpp_extension/setup.py/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab2/mylinear_cpp_extension/setup.py",
"repo_id": "AI-System",
"token_count": 87
} | 9 |
# MIT License
# Copyright (c) Microsoft Corporation.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, mer... | AI-System/Labs/BasicLabs/Lab5/Dockerfile.infer.cpu/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab5/Dockerfile.infer.cpu",
"repo_id": "AI-System",
"token_count": 818
} | 10 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 人工智能系统 教材
本教材的中文名称设定为 **人工智能系统**，主要讲解支持人工智能的计算机系统设计，对应的中英文课程名称为 **人工智能系统** **System for AI**。本课程中将交替使用一下词汇：**人工智能系统**，**AI-System** 和 **System for AI**。
本教材为[微软人工智能教育与共建社区](ht... | AI-System/Textbook/README.md/0 | {
"file_path": "AI-System/Textbook/README.md",
"repo_id": "AI-System",
"token_count": 16997
} | 11 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
## 2.4 解决分类问题
本小节主要围绕解决分类问题中的提出问题，定义神经网络结构，前向计算，反向传播展开介绍。
- [2.4 解决分类问题](#24-解决分类问题)
- [2.4.1 提出问题](#241-提出问题)
- [2.4.2 定义神经网络结构](#242-定义神经网络结构)
- [2.4.3 前向计算](#243-前向计算)
... | AI-System/Textbook/第2章-神经网络基础/2.4-解决分类问题.md/0 | {
"file_path": "AI-System/Textbook/第2章-神经网络基础/2.4-解决分类问题.md",
"repo_id": "AI-System",
"token_count": 4675
} | 12 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 5.4 内核优化与生成
- [5.4 内核优化与生成](#54-内核优化与生成)
- [5.4.1 算子表达式](#541-算子表达式)
- [5.4.2 算子表示与调度逻辑的分离](#542-算子表示与调度逻辑的分离)
- [5.4.3 自动调度搜索与代码生成](#543-自动调度搜索与代码生成)
- [小结与讨论](#小结与讨论)... | AI-System/Textbook/第5章-深度学习框架的编译与优化/5.4-内核优化.md/0 | {
"file_path": "AI-System/Textbook/第5章-深度学习框架的编译与优化/5.4-内核优化.md",
"repo_id": "AI-System",
"token_count": 6043
} | 13 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 6.5 分布式训练的通信协调
- [6.5 分布式训练的通信协调](#65-分布式训练的通信协调)
- [6.5.1 通信协调的硬件](#651-通信协调的硬件)
- [6.5.2 通信协调的软件](#652-通信协调的软件)
- [6.5.3 课后实验：AllReduce的实现和优化](#653-课后实验allreduce的实现和优... | AI-System/Textbook/第6章-分布式训练算法与系统/6.5-分布式训练的通信协调.md/0 | {
"file_path": "AI-System/Textbook/第6章-分布式训练算法与系统/6.5-分布式训练的通信协调.md",
"repo_id": "AI-System",
"token_count": 8329
} | 14 |
parameters:
Agent: Hosted Ubuntu 1604
Demands: "python3"
stageName: 'defaultStageName'
jobDisplayName: 'defaultDisplayName'
jobTimeoutInMinutes: 180
TridentWorkloadTypeShort: #
DeployLocation: #
TestPostfix: # "" | "-release" | "-preview"
Deploy_Location_Short: #
DefaultWorkingDirectory: #
Templat... | AI/.ci/stage/deploy_container_stage_v2.yml/0 | {
"file_path": "AI/.ci/stage/deploy_container_stage_v2.yml",
"repo_id": "AI",
"token_count": 851
} | 15 |
parameters:
azureSubscription: 'x'
azure_subscription: 'x'
location: '.'
azureresourcegroup: 'x'
workspacename: 'x'
azureregion: westus2
aksimagename: 'x'
aks_name: 'x'
aks_service_name: 'x'
conda: 'ado-ml-batch-train'
doCleanup: true
python_path: 'x'
max_total_runs: 1
flighting_release: fal... | AI/.ci/steps/ADOTrainDeployAMLJob.yml/0 | {
"file_path": "AI/.ci/steps/ADOTrainDeployAMLJob.yml",
"repo_id": "AI",
"token_count": 1392
} | 16 |
parameters:
notebook: # defaults for any parameters that aren't specified
location: "."
azureSubscription: 'x'
azure_subscription: 'x'
timeoutInMinutes: 90
steps:
- bash: |
cd ${{parameters.location}}
echo Execute ${{parameters.notebook}}
Rscript ./${{parameters.notebook}}
timeoutInMinutes: ${... | AI/.ci/steps/bash_r.yml/0 | {
"file_path": "AI/.ci/steps/bash_r.yml",
"repo_id": "AI",
"token_count": 134
} | 17 |
parameters:
deployment_name: ''
template: ''
azureSubscription: ''
azure_subscription: ''
azureresourcegroup: ''
workspacename: ''
azureregion: ''
aksimagename: 'myimage'
environment: 'tridant-ai'
doCleanup: False
alias: '-'
project: '-'
expires : "2019-08-01"
agent: 'AI-GPU'
ENVIRONMENT_P... | AI/.ci/steps/deploy_steps.yml/0 | {
"file_path": "AI/.ci/steps/deploy_steps.yml",
"repo_id": "AI",
"token_count": 937
} | 18 |
variables:
TridentWorkloadTypeShort: aidlbat
DeployLocation: eastus
ProjectLocation: "notebooks/"
PythonPath: "."
Template: DLBatchDeployAMLJob.yml
| AI/.ci/vars/dl_batch_scoring.yml/0 | {
"file_path": "AI/.ci/vars/dl_batch_scoring.yml",
"repo_id": "AI",
"token_count": 52
} | 19 |
<jupyter_start><jupyter_code>import sys
sys.path += ['../utils']
import csv
from tqdm import tqdm
import collections
import gzip
import pickle
import numpy as np
import faiss
import os
import pytrec_eval
import json
from msmarco_eval import quality_checks_qids, compute_metrics, load_reference<jupyter_output><empty_out... | ANCE/evaluation/Calculate Metrics.ipynb/0 | {
"file_path": "ANCE/evaluation/Calculate Metrics.ipynb",
"repo_id": "ANCE",
"token_count": 4926
} | 20 |
"""Lamb optimizer."""
import collections
import math
import torch
from tensorboardX import SummaryWriter
from torch.optim import Optimizer
def log_lamb_rs(optimizer: Optimizer, event_writer: SummaryWriter, token_count: int):
"""Log a histogram of trust ratio scalars in across layers."""
results = collection... | ANCE/utils/lamb.py/0 | {
"file_path": "ANCE/utils/lamb.py",
"repo_id": "ANCE",
"token_count": 2325
} | 21 |
"""
Code for self-training with weak supervision.
Author: Giannis Karamanolakis (gkaraman@cs.columbia.edu)
"""
import os
import math
import random
import numpy as np
from numpy.random import seed
import tensorflow.keras as K
import tensorflow as tf
from tensorflow.keras.utils import to_categorical
from tensorflow.kera... | ASTRA/astra/model/default_model.py/0 | {
"file_path": "ASTRA/astra/model/default_model.py",
"repo_id": "ASTRA",
"token_count": 6561
} | 22 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/src/format_converting_e2e.py/0 | {
"file_path": "AdaMix/NLG/src/format_converting_e2e.py",
"repo_id": "AdaMix",
"token_count": 192
} | 23 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | AdaMix/docs/source/examples.md/0 | {
"file_path": "AdaMix/docs/source/examples.md",
"repo_id": "AdaMix",
"token_count": 4478
} | 24 |
..
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/internal/file_utils.rst/0 | {
"file_path": "AdaMix/docs/source/internal/file_utils.rst",
"repo_id": "AdaMix",
"token_count": 477
} | 25 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by a... | AdaMix/docs/source/main_classes/trainer.rst/0 | {
"file_path": "AdaMix/docs/source/main_classes/trainer.rst",
"repo_id": "AdaMix",
"token_count": 12134
} | 26 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/deberta_v2.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/deberta_v2.rst",
"repo_id": "AdaMix",
"token_count": 1444
} | 27 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/lxmert.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/lxmert.rst",
"repo_id": "AdaMix",
"token_count": 1506
} | 28 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/t5.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/t5.rst",
"repo_id": "AdaMix",
"token_count": 1963
} | 29 |
#!/usr/bin/env bash
if ! [ -f ./dev.txt ]; then
echo "Download dev dataset...."
curl -L -o ./dev.txt 'https://github.com/UniversalDependencies/UD_English-EWT/raw/master/en_ewt-ud-dev.conllu'
fi
if ! [ -f ./test.txt ]; then
echo "Download test dataset...."
curl -L -o ./test.txt 'https://github.com/UniversalDepe... | AdaMix/examples/legacy/pytorch-lightning/run_pos.sh/0 | {
"file_path": "AdaMix/examples/legacy/pytorch-lightning/run_pos.sh",
"repo_id": "AdaMix",
"token_count": 440
} | 30 |
#!/usr/bin/env python
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | AdaMix/examples/legacy/seq2seq/minify_dataset.py/0 | {
"file_path": "AdaMix/examples/legacy/seq2seq/minify_dataset.py",
"repo_id": "AdaMix",
"token_count": 398
} | 31 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | AdaMix/examples/legacy/seq2seq/sentence_splitter.py/0 | {
"file_path": "AdaMix/examples/legacy/seq2seq/sentence_splitter.py",
"repo_id": "AdaMix",
"token_count": 403
} | 32 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | AdaMix/examples/legacy/seq2seq/train_mbart_cc25_enro.sh/0 | {
"file_path": "AdaMix/examples/legacy/seq2seq/train_mbart_cc25_enro.sh",
"repo_id": "AdaMix",
"token_count": 501
} | 33 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | AdaMix/examples/multiple-choice/utils_multiple_choice.py/0 | {
"file_path": "AdaMix/examples/multiple-choice/utils_multiple_choice.py",
"repo_id": "AdaMix",
"token_count": 10039
} | 34 |
# coding=utf-8
# Copyright 2020 The Google AI Language Team Authors, The HuggingFace Inc. team and Microsoft Corporation.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.... | AdaMix/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_bert.py/0 | {
"file_path": "AdaMix/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_bert.py",
"repo_id": "AdaMix",
"token_count": 6696
} | 35 |
# DeeBERT: Early Exiting for *BERT
This is the code base for the paper [DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference](https://www.aclweb.org/anthology/2020.acl-main.204/), modified from its [original code base](https://github.com/castorini/deebert).
The original code base also has information for do... | AdaMix/examples/research_projects/deebert/README.md/0 | {
"file_path": "AdaMix/examples/research_projects/deebert/README.md",
"repo_id": "AdaMix",
"token_count": 618
} | 36 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# 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 a... | AdaMix/examples/research_projects/distillation/scripts/binarized_data.py/0 | {
"file_path": "AdaMix/examples/research_projects/distillation/scripts/binarized_data.py",
"repo_id": "AdaMix",
"token_count": 1430
} | 37 |
<jupyter_start><jupyter_code>#%pip install-r requirements.txt
from IPython.display import clear_output, Image, display
import PIL.Image
import io
import json
import torch
import numpy as np
from processing_image import Preprocess
from visualizing_image import SingleImageViz
from modeling_frcnn import GeneralizedRCNN
fr... | AdaMix/examples/research_projects/lxmert/demo.ipynb/0 | {
"file_path": "AdaMix/examples/research_projects/lxmert/demo.ipynb",
"repo_id": "AdaMix",
"token_count": 1981
} | 38 |
# Copyright 2020-present, the HuggingFace Inc. team.
#
# 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 o... | AdaMix/examples/research_projects/movement-pruning/bertarize.py/0 | {
"file_path": "AdaMix/examples/research_projects/movement-pruning/bertarize.py",
"repo_id": "AdaMix",
"token_count": 2263
} | 39 |
"""Finetuning script for RAG models. Adapted from examples.seq2seq.finetune.py"""
import argparse
import logging
import os
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Any, Dict, List, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
import... | AdaMix/examples/research_projects/rag/finetune_rag.py/0 | {
"file_path": "AdaMix/examples/research_projects/rag/finetune_rag.py",
"repo_id": "AdaMix",
"token_count": 11333
} | 40 |
#!/usr/bin/env python
import os
from pathlib import Path
from typing import Dict, List
import fire
import torch
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from transformers.utils.logging import get_logger
logger = get_logger(__name__)
def remove_prefix(text: str, prefix: str):
if text.star... | AdaMix/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py/0 | {
"file_path": "AdaMix/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py",
"repo_id": "AdaMix",
"token_count": 1017
} | 41 |
#!/usr/bin/env bash
export PYTHONPATH="../":"${PYTHONPATH}"
export BS=32
export GAS=1
python finetune.py \
--learning_rate=3e-5 \
--fp16 \
--gpus 1 \
--do_train \
--do_predict \
--val_check_interval 0.25 \
--n_val 500 \
--num_train_epochs 2 \
--freeze_encoder --freeze_embeds --data... | AdaMix/examples/research_projects/seq2seq-distillation/train_distilbart_cnn.sh/0 | {
"file_path": "AdaMix/examples/research_projects/seq2seq-distillation/train_distilbart_cnn.sh",
"repo_id": "AdaMix",
"token_count": 292
} | 42 |
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