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<?xml version='1.0' encoding='UTF-8'?>
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sale
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set-top-box
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signature-freehand
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skip-previous-outline
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source-commit-local
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square-off-outline
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<?xml version='1.0' encoding='UTF-8'?>
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stack-overflow
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<?xml version='1.0' encoding='UTF-8'?>
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star-circle-outline
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<?xml version='1.0' encoding='UTF-8'?>
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subdirectory-arrow-left
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<?xml version='1.0' encoding='UTF-8'?>
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tea
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
temperature-fahrenheit
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<?xml version='1.0' encoding='UTF-8'?>
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timer-sand-full
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<?xml version='1.0' encoding='UTF-8'?>
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toothbrush-paste
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triangle-small-up
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<?xml version='1.0' encoding='UTF-8'?>
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turnstile
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<?xml version='1.0' encoding='UTF-8'?>
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valve-closed
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view-dashboard-variant
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volume-vibrate
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water-check
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window-shutter-settings
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<?xml version='1.0' encoding='UTF-8'?>
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yahoo
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zodiac-aquarius
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<?xml version='1.0' encoding='UTF-8'?>
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POWER SLEEP SYMBOL
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arrow-small-down
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<point x="645" y="1026" type="line"/... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/arrow-small-down.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/arrow-small-down.glif",
"repo_id": "cascadia-code",
"token_count": 306
} | 660 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="bracket-error" format="2">
<advance width="1200"/>
<unicode hex="EBE6"/>
<note>
bracket-error
</note>
<outline>
<contour>
<point x="378" y="1292" type="line"/>
<point x="368" y="1292" type="line" smooth="yes"/>
<point x="326" y="1292"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/bracket-error.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/bracket-error.glif",
"repo_id": "cascadia-code",
"token_count": 2943
} | 661 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="chrome-close" format="2">
<advance width="1200"/>
<unicode hex="EAB8"/>
<note>
chrome-close
</note>
<outline>
<contour>
<point x="20" y="1193" type="line"/>
<point x="503" y="710" type="line"/>
<point x="20" y="227" type="line"/>
<p... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/chrome-close.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/chrome-close.glif",
"repo_id": "cascadia-code",
"token_count": 344
} | 662 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="file" format="2">
<advance width="1200"/>
<unicode hex="EA7B"/>
<note>
file
</note>
<outline>
<contour>
<point x="1161" y="1014" type="line"/>
<point x="1128" y="1089" type="line"/>
<point x="825" y="1393" type="line"/>
<point x="75... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/file.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/file.glif",
"repo_id": "cascadia-code",
"token_count": 522
} | 663 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="graph" format="2">
<advance width="1200"/>
<unicode hex="EB03"/>
<note>
graph
</note>
<outline>
<contour>
<point x="20" y="170" type="line"/>
<point x="60" y="130" type="line"/>
<point x="1180" y="130" type="line"/>
<point x="1180" ... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/graph.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/graph.glif",
"repo_id": "cascadia-code",
"token_count": 1075
} | 664 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="milestone" format="2">
<advance width="1200"/>
<unicode hex="EB20"/>
<note>
milestone
</note>
<outline>
<contour>
<point x="600" y="1126" type="line"/>
<point x="600" y="1290" type="line"/>
<point x="516" y="1290" type="line"/>
<poi... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/milestone.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/milestone.glif",
"repo_id": "cascadia-code",
"token_count": 688
} | 665 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="output" format="2">
<advance width="1200"/>
<unicode hex="EB9D"/>
<note>
output
</note>
<outline>
<contour>
<point x="953" y="1420" type="line"/>
<point x="953" y="1330" type="line"/>
<point x="778" y="1330" type="line"/>
<point x="... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/output.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/output.glif",
"repo_id": "cascadia-code",
"token_count": 951
} | 666 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="run-above" format="2">
<advance width="1200"/>
<unicode hex="EBBD"/>
<note>
run-above
</note>
<outline>
<contour>
<point x="809" y="792" type="line"/>
<point x="80" y="1275" type="line"/>
<point x="20" y="1240" type="line"/>
<point ... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/run-above.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/run-above.glif",
"repo_id": "cascadia-code",
"token_count": 518
} | 667 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-property" format="2">
<advance width="1200"/>
<unicode hex="EB65"/>
<note>
symbol-property
</note>
<outline>
<contour>
<point x="220" y="129"/>
<point x="259" y="165" type="qcurve" smooth="yes"/>
<point x="401" y="298"/>
<poi... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-property.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/symbol-property.glif",
"repo_id": "cascadia-code",
"token_count": 1496
} | 668 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="terminal-powershell" format="2">
<advance width="1200"/>
<unicode hex="EBC7"/>
<note>
terminal-powershell
</note>
<outline>
<contour>
<point x="153" y="1188" type="line"/>
<point x="20" y="247" type="line"/>
<point x="51" y="208" type="li... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/terminal-powershell.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/terminal-powershell.glif",
"repo_id": "cascadia-code",
"token_count": 606
} | 669 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="type-hierarchy-super" format="2">
<advance width="1200"/>
<unicode hex="EBBB"/>
<note>
type-hierarchy-super
</note>
<outline>
<contour>
<point x="1180" y="1290" type="line"/>
<point x="1132" y="1333" type="line"/>
<point x="866" y="1333" ... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/type-hierarchy-super.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/type-hierarchy-super.glif",
"repo_id": "cascadia-code",
"token_count": 1052
} | 670 |
<?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>uniE600</key>
<string>uniE_600.glif</string>
<key>uniE601</key>
<string>uniE_601.glif</string>
<key>uniE602</key>
<str... | cascadia-code/sources/nerdfonts/full/processed/devicons.ufo/glyphs/contents.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/devicons.ufo/glyphs/contents.plist",
"repo_id": "cascadia-code",
"token_count": 6354
} | 671 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="virus" format="2">
<advance width="1200"/>
<unicode hex="E214"/>
<note>
virus
</note>
<outline>
<contour>
<point x="1195" y="710"/>
<point x="1165" y="729" type="qcurve" smooth="yes"/>
<point x="1117" y="755" type="line"/>
<point x=... | cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/virus.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-awesome-extension.ufo/glyphs/virus.glif",
"repo_id": "cascadia-code",
"token_count": 2358
} | 672 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="Arch Linux" format="2">
<advance width="1200"/>
<unicode hex="F303"/>
<note>
Arch Linux
</note>
<outline>
<contour>
<point x="473" y="1020"/>
<point x="437" y="946" type="qcurve"/>
<point x="505" y="873"/>
<point x="580" y="821" typ... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/A_rch L_inux.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/A_rch L_inux.glif",
"repo_id": "cascadia-code",
"token_count": 1456
} | 673 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="clock-fill" format="2">
<advance width="1200"/>
<unicode hex="F4AB"/>
<note>
clock-fill
</note>
<outline>
<contour>
<point x="112" y="378"/>
<point x="268" y="222"/>
<point x="482" y="130"/>
<point x="718" y="130"/>
<point x="... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/clock-fill.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/clock-fill.glif",
"repo_id": "cascadia-code",
"token_count": 870
} | 674 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="device-mobile" format="2">
<advance width="1200"/>
<unicode hex="F42C"/>
<note>
device-mobile
</note>
<outline>
<contour>
<point x="158" y="1420"/>
<point x="68" y="1329"/>
<point x="68" y="1265" type="qcurve" smooth="yes"/>
<point ... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/device-mobile.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/device-mobile.glif",
"repo_id": "cascadia-code",
"token_count": 1016
} | 675 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="move-to-end" format="2">
<advance width="1200"/>
<unicode hex="F4F0"/>
<note>
move-to-end
</note>
<outline>
<contour>
<point x="928" y="678"/>
<point x="928" y="742"/>
<point x="906" y="764" type="qcurve" smooth="yes"/>
<point x="52... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/move-to-end.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/move-to-end.glif",
"repo_id": "cascadia-code",
"token_count": 979
} | 676 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_ignored" format="2">
<advance width="1200"/>
<unicode hex="E668"/>
<note>
i_seti_ignored
</note>
<outline>
<contour>
<point x="1037" y="1072" type="line"/>
<point x="1044" y="1078" type="line"/>
<point x="1050" y="1091"/>
<po... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_ignored.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_ignored.glif",
"repo_id": "cascadia-code",
"token_count": 2348
} | 677 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_reasonml" format="2">
<advance width="1200"/>
<unicode hex="E687"/>
<note>
i_seti_reasonml
</note>
<outline>
<contour>
<point x="1180" y="1290" type="line"/>
<point x="20" y="1290" type="line"/>
<point x="20" y="130" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_reasonml.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_reasonml.glif",
"repo_id": "cascadia-code",
"token_count": 1012
} | 678 |
# Documentation
This documentation relies on `sphinx` and `autoapi` to generate the documentation from the source code.
It can be built using the following command:
```console
make html
```
This generates the documentation in the `build/html` directory.
# Helpful Resources
- https://docs.readthedocs.io/en/stable/g... | causica/docs/README.md/0 | {
"file_path": "causica/docs/README.md",
"repo_id": "causica",
"token_count": 251
} | 679 |
"""This scripts is for Lorenz experiments."""
import argparse
import os
import pytorch_lightning as pl
import torch
from pytorch_lightning import seed_everything
from pytorch_lightning.callbacks import ModelCheckpoint, TQDMProgressBar
from pytorch_lightning.loggers import MLFlowLogger
from scotch.latent_learning.scotc... | causica/research_experiments/scotch/src/scotch/experiments/lorenz.py/0 | {
"file_path": "causica/research_experiments/scotch/src/scotch/experiments/lorenz.py",
"repo_id": "causica",
"token_count": 2654
} | 680 |
seed_everything: 234
model:
class_path: causica.lightning.modules.deci_module.DECIModule
init_args:
noise_dist: "GAUSSIAN"
embedding_size: 32
out_dim_g: 32
num_layers_g: 2
num_layers_zeta: 2
init_alpha: 0.0
init_rho: 1.0
prior_sparsity_lambda: 5.0
gumbel_temp: 0.25
auglag_con... | causica/src/causica/config/lightning/default_gaussian.yaml/0 | {
"file_path": "causica/src/causica/config/lightning/default_gaussian.yaml",
"repo_id": "causica",
"token_count": 604
} | 681 |
"""Module that provides data normalization functionality."""
from typing import Any, Callable, Optional
import torch
import torch.distributions as td
from tensordict import TensorDictBase
from torch import nn
from torch.distributions import constraints
from causica.distributions.transforms import JointTransformModule... | causica/src/causica/datasets/normalization.py/0 | {
"file_path": "causica/src/causica/datasets/normalization.py",
"repo_id": "causica",
"token_count": 2748
} | 682 |
from causica.distributions.noise.bernoulli import BernoulliNoise, BernoulliNoiseModule
from causica.distributions.noise.categorical import CategoricalNoise, CategoricalNoiseModule
from causica.distributions.noise.joint import ContinuousNoiseDist, JointNoise, JointNoiseModule, create_noise_modules
from causica.distribut... | causica/src/causica/distributions/noise/__init__.py/0 | {
"file_path": "causica/src/causica/distributions/noise/__init__.py",
"repo_id": "causica",
"token_count": 244
} | 683 |
from causica.functional_relationships.deci_functional_relationships import DECIEmbedFunctionalRelationships
from causica.functional_relationships.do_functional_relationships import (
DoFunctionalRelationships,
create_do_functional_relationship,
)
from causica.functional_relationships.functional_relationships im... | causica/src/causica/functional_relationships/__init__.py/0 | {
"file_path": "causica/src/causica/functional_relationships/__init__.py",
"repo_id": "causica",
"token_count": 133
} | 684 |
"""Lightning Classes for loading data in the default format used in Azure Blob Storage."""
import functools
import os
from collections import defaultdict
from functools import partial
from typing import Any, Iterable, Optional, Union
import torch
from tensordict import TensorDict, TensorDictBase
from torch.utils.data ... | causica/src/causica/lightning/data_modules/variable_spec_data.py/0 | {
"file_path": "causica/src/causica/lightning/data_modules/variable_spec_data.py",
"repo_id": "causica",
"token_count": 5859
} | 685 |
import math
from collections import defaultdict
from typing import Iterable
import torch
from tensordict import TensorDict
from causica.datasets.causica_dataset_format import CounterfactualWithEffects, InterventionWithEffects
from causica.sem.structural_equation_model import SEM, ate, ite
def eval_intervention_like... | causica/src/causica/training/evaluation.py/0 | {
"file_path": "causica/src/causica/training/evaluation.py",
"repo_id": "causica",
"token_count": 1988
} | 686 |
import pytest
import torch
from causica.distributions.adjacency.gibbs_dag_prior import ExpertGraphContainer, GibbsDAGPrior
def test_expert_graph_dataclass():
mask = torch.Tensor([[0, 1, 1], [0, 0, 0], [0, 0, 0]])
dag = torch.Tensor([[0, 0, 1], [0, 0, 0], [0, 0, 0]])
confidence = 0.8
scale = 10
... | causica/test/distributions/adjacency/test_gibbs_dag_prior.py/0 | {
"file_path": "causica/test/distributions/adjacency/test_gibbs_dag_prior.py",
"repo_id": "causica",
"token_count": 1192
} | 687 |
import pytest
import torch
from tensordict import TensorDict
from causica.functional_relationships import LinearFunctionalRelationships, create_do_functional_relationship
@pytest.fixture(name="two_variable_dict")
def fixture_two_variable_dict():
return {"x1": torch.Size([1]), "x2": torch.Size([2])}
@pytest.fix... | causica/test/functional_relationships/test_do_functional_relationships.py/0 | {
"file_path": "causica/test/functional_relationships/test_do_functional_relationships.py",
"repo_id": "causica",
"token_count": 1345
} | 688 |
import pytest
import torch
import torch.distributions as td
from tensordict import TensorDict
from causica.datasets.variable_types import VariableTypeEnum
from causica.distributions import JointNoiseModule, create_noise_modules
from causica.distributions.noise.joint import ContinuousNoiseDist
from causica.functional_r... | causica/test/sem/test_sem.py/0 | {
"file_path": "causica/test/sem/test_sem.py",
"repo_id": "causica",
"token_count": 6448
} | 689 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
###########################################################################################
# CUSTOMIZED ENCODING/DECODING LAYERS AS USED In THE PAPER: #
# Clifford Neural Layers for PDE Modeling ... | cliffordlayers/cliffordlayers/models/basic/custom_layers.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/models/basic/custom_layers.py",
"repo_id": "cliffordlayers",
"token_count": 2561
} | 690 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
###########################################################################################
# THIS IS AN OLD IMPLEMENTATION OF THE CLIFFORD FOURIER TRANSFORM LAYERS. #
# WE KEEP IT FOR UNIT TESTING FOR THE TIME BEING. ... | cliffordlayers/cliffordlayers/nn/modules/cliffordfourier_deprecated.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/nn/modules/cliffordfourier_deprecated.py",
"repo_id": "cliffordlayers",
"token_count": 7953
} | 691 |
document$.subscribe(function() {
var tables = document.querySelectorAll("article table:not([class])")
tables.forEach(function(table) {
new Tablesort(table)
})
})
| cliffordlayers/docs/javascripts/tablesort.js/0 | {
"file_path": "cliffordlayers/docs/javascripts/tablesort.js",
"repo_id": "cliffordlayers",
"token_count": 64
} | 692 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
from cliffordlayers.models.basic.custom_layers import (
CliffordConv2dScalarVectorEncoder,
CliffordConv2dScalarVectorDecoder,
CliffordConv3dMaxwellEncoder,
CliffordConv3dMaxwellDecoder,
)
def test_CliffordFluidNet2d... | cliffordlayers/tests/test_clifford_convolution_custom.py/0 | {
"file_path": "cliffordlayers/tests/test_clifford_convolution_custom.py",
"repo_id": "cliffordlayers",
"token_count": 1155
} | 693 |
#!/usr/bin/env/python
import numpy as np
import tensorflow as tf
import queue
import threading
import pickle
from rdkit.Chem import AllChem
from rdkit.Chem import Draw
from rdkit import Chem
from rdkit.Chem import rdmolops
from collections import defaultdict, deque
import os
import heapq
import planarity
import sascore... | constrained-graph-variational-autoencoder/utils.py/0 | {
"file_path": "constrained-graph-variational-autoencoder/utils.py",
"repo_id": "constrained-graph-variational-autoencoder",
"token_count": 12760
} | 694 |
MIT License
Copyright (c) Microsoft Corporation. All rights reserved.
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 rig... | 0xDeCA10B/LICENSE/0 | {
"file_path": "0xDeCA10B/LICENSE",
"repo_id": "0xDeCA10B",
"token_count": 316
} | 0 |
# See descriptions in `.env`.
# Use the data storage because it is helpful in development.
REACT_APP_ENABLE_SERVICE_DATA_STORE=true
# Disable online safety because it makes development more difficult.
REACT_APP_ENABLE_ONLINE_SAFETY=false
| 0xDeCA10B/demo/client/.env.development/0 | {
"file_path": "0xDeCA10B/demo/client/.env.development",
"repo_id": "0xDeCA10B",
"token_count": 72
} | 1 |
import Button from '@material-ui/core/Button'
import CircularProgress from '@material-ui/core/CircularProgress'
import green from '@material-ui/core/colors/green'
import Container from '@material-ui/core/Container'
import Grid from '@material-ui/core/Grid'
import InputLabel from '@material-ui/core/InputLabel'
import Me... | 0xDeCA10B/demo/client/src/components/addDeployedModel.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/components/addDeployedModel.js",
"repo_id": "0xDeCA10B",
"token_count": 4289
} | 2 |
pragma solidity ^0.6;
import "../../../lib/Math.sol";
import "../../../lib/SafeMath.sol";
import "../../../lib/SignedSafeMath.sol";
import {IncentiveMechanism, IncentiveMechanism64} from "./IncentiveMechanism.sol";
import {Ownable} from "../ownership/Ownable.sol";
/**
* A base class for contracts that want to rewar... | 0xDeCA10B/demo/client/src/contracts/incentive/Points.sol/0 | {
"file_path": "0xDeCA10B/demo/client/src/contracts/incentive/Points.sol",
"repo_id": "0xDeCA10B",
"token_count": 1526
} | 3 |
const fs = require('fs')
const DensePerceptron = artifacts.require("./classification/DensePerceptron")
const NaiveBayesClassifier = artifacts.require("./classification/NaiveBayesClassifier")
const NearestCentroidClassifier = artifacts.require("./classification/NearestCentroidClassifier")
const SparseNearestCentroidCla... | 0xDeCA10B/demo/client/src/ml-models/deploy-model-node.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/ml-models/deploy-model-node.js",
"repo_id": "0xDeCA10B",
"token_count": 3743
} | 4 |
export default {
verified:
[
{
// Example
network: 'private',
address: '0x1b88938102bE9ED97a0e9b8Cb321dD89C60e86Ab'
},
]
}
| 0xDeCA10B/demo/client/src/safety/config.ts/0 | {
"file_path": "0xDeCA10B/demo/client/src/safety/config.ts",
"repo_id": "0xDeCA10B",
"token_count": 83
} | 5 |
const { convertNum } = require('../../../src/float-utils-node')
const { deploySparseNearestCentroidClassifier } = require('../../../src/ml-models/deploy-model-node')
const { assertCloseToNumbers, assertEqualNumbers } = require('../../float-test-utils-node')
contract('SparseNearestCentroidClassifier', function (account... | 0xDeCA10B/demo/client/test/contracts/classification/sparsenearestcentroidclassifier.js/0 | {
"file_path": "0xDeCA10B/demo/client/test/contracts/classification/sparsenearestcentroidclassifier.js",
"repo_id": "0xDeCA10B",
"token_count": 3112
} | 6 |
from decai.simulation.contract.classification.ncc import NearestCentroidClassifier
from decai.simulation.contract.classification.scikit_classifier import SciKitClassifierModule
class NearestCentroidClassifierModule(SciKitClassifierModule):
def __init__(self):
super().__init__(
_model_initializ... | 0xDeCA10B/simulation/decai/simulation/contract/classification/ncc_module.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/classification/ncc_module.py",
"repo_id": "0xDeCA10B",
"token_count": 114
} | 7 |
from dataclasses import dataclass
from logging import Logger
from typing import List
import numpy as np
from injector import Binder, inject, Module
from decai.simulation.data.data_loader import DataLoader
@inject
@dataclass
class SimpleDataLoader(DataLoader):
"""
Load simple data for testing.
"""
_... | 0xDeCA10B/simulation/decai/simulation/data/simple_data_loader.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/simple_data_loader.py",
"repo_id": "0xDeCA10B",
"token_count": 1141
} | 8 |
import json
import os
import random
import sys
from collections import Counter
from typing import cast
import math
import numpy as np
from injector import inject, Injector
from decai.simulation.contract.classification.classifier import Classifier
from decai.simulation.contract.classification.decision_tree import Deci... | 0xDeCA10B/simulation/decai/simulation/simulate_ttt_dt.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/simulate_ttt_dt.py",
"repo_id": "0xDeCA10B",
"token_count": 3151
} | 9 |
Attribution 4.0 International
=======================================================================
Creative Commons Corporation ("Creative Commons") is not a law firm and
does not provide legal services or legal advice. Distribution of
Creative Commons public licenses does not create a lawyer-client or
other rela... | AI-System/LICENSE/0 | {
"file_path": "AI-System/LICENSE",
"repo_id": "AI-System",
"token_count": 5187
} | 10 |
{
"initial_lr": {
"_type": "loguniform",
"_value": [1e-4, 0.1]
},
"weight_decay": {
"_type": "loguniform",
"_value": [1e-6, 1e-3]
},
"cutout": {
"_type": "choice",
"_value": [0, 8, 16]
},
"batch_size": {
"_type": "choice",
"_val... | AI-System/Labs/AdvancedLabs/Lab8/hpo-answer/search_space.json/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab8/hpo-answer/search_space.json",
"repo_id": "AI-System",
"token_count": 488
} | 11 |
# BSD 3-Clause License
# Copyright (c) 2017,
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions... | AI-System/Labs/BasicLabs/Lab1/mnist_tensorboard.py/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab1/mnist_tensorboard.py",
"repo_id": "AI-System",
"token_count": 3374
} | 12 |
from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import StepLR
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__(... | AI-System/Labs/BasicLabs/Lab5/pytorch_mnist_basic.py/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab5/pytorch_mnist_basic.py",
"repo_id": "AI-System",
"token_count": 2471
} | 13 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 10.2.3 分布式强化学习框架
- [10.2.3 分布式强化学习框架](#1023-分布式强化学习框架)
- [RLlib](#rllib)
- [分层控制分布式强化学习](#分层控制分布式强化学习)
- [强化学习训练的计算模式不规则性](#强化学习训练的计算模式不规则性)
- [当前的现状和解决方案](#当... | AI-System/Textbook/第10章-强化学习系统/10.2.3-分布式强化学习框架和应用.md/0 | {
"file_path": "AI-System/Textbook/第10章-强化学习系统/10.2.3-分布式强化学习框架和应用.md",
"repo_id": "AI-System",
"token_count": 11645
} | 14 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
- [3.1 基于数据流图的深度学习框架](#31-基于数据流图的深度学习框架)
- [3.1.1 深度学习框架发展概述](#311-深度学习框架发展概述)
- [3.1.2 编程范式：声明式和命令式](#312-编程范式声明式和命令式)
- [3.1.3 数据流图](#313-数据流图)
- [张量和张量操作](#张量和张量操作)
- [自... | AI-System/Textbook/第3章-深度学习框架基础/3.1-基于数据流图的深度学习框架.md/0 | {
"file_path": "AI-System/Textbook/第3章-深度学习框架基础/3.1-基于数据流图的深度学习框架.md",
"repo_id": "AI-System",
"token_count": 24368
} | 15 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 矩阵运算与计算机体系结构 (Computer architecture for Matrix computation)
# 简介
计算体系结构的发展往往和上层应用的演变相辅相成，一方面计算任务的特点决定了体系结构的设计和优化方向，另一方面体系结构的迭代推动了应用超着更加适合体系结构的方向演进。类似的，深度学习的出现和发展不仅深受GPU这样的体系结... | AI-System/Textbook/第4章-矩阵运算与计算机体系结构/4-前言.md/0 | {
"file_path": "AI-System/Textbook/第4章-矩阵运算与计算机体系结构/4-前言.md",
"repo_id": "AI-System",
"token_count": 1471
} | 16 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 7.3 调度（Scheduling）
<center> <img src="./img/3/7-3-10-schedulemodule.png" /></center>
<center>图 7.3.1 平台调度器</center>
在之前的章节，我们已经介绍集群管理中的运行时，但是作业进程在启动前，需要平台本身进行决策当前作业运行在哪些服务器和 ... | AI-System/Textbook/第7章-异构计算集群调度与资源管理系统/7.3-调度.md/0 | {
"file_path": "AI-System/Textbook/第7章-异构计算集群调度与资源管理系统/7.3-调度.md",
"repo_id": "AI-System",
"token_count": 16130
} | 17 |
# Starter pipeline
# Start with a minimal pipeline that you can customize to build and deploy your code.
# Add steps that build, run tests, deploy, and more:
# https://aka.ms/yaml
stages:
- stage: dev
jobs:
- template: steps/deploy.yml
parameters:
deployment_name: RecoPySparkRTS
template: RecoPySp... | AI/.ci/realtime-serving-pyspark-reco-dev.yml/0 | {
"file_path": "AI/.ci/realtime-serving-pyspark-reco-dev.yml",
"repo_id": "AI",
"token_count": 284
} | 18 |
parameters:
Agent: Hosted Ubuntu 1604
Demands: "python3"
jobTimeoutInMinutes: 180
jobDisplayName: 'defaultDisplayName'
TridentWorkloadTypeShort: #
DeployLocation: #
DefaultWorkingDirectory: #
Template: #
ProjectLocation: #
PythonPath: #
workload_vars: #
doCleanup: True
sp_appid: #
sp_passw... | AI/.ci/stages/deploy_container_stages_v2.yml/0 | {
"file_path": "AI/.ci/stages/deploy_container_stages_v2.yml",
"repo_id": "AI",
"token_count": 398
} | 19 |
# AI Architecture Template TODO: update tile
#
# A Github Service Connection must also be created with the name "AIArchitecturesAndPractices-GitHub"
# https://docs.microsoft.com/en-us/azure/devops/pipelines/process/demands?view=azure-devops&tabs=yaml
#
# An Agent_Name Variable must be creating in the Azure DevOps UI.
#... | AI/.ci/steps/ai-architecture-template.yml/0 | {
"file_path": "AI/.ci/steps/ai-architecture-template.yml",
"repo_id": "AI",
"token_count": 706
} | 20 |
parameters:
template: ''
azureSubscription: 'x'
azure_subscription: 'x'
azureresourcegroup: 'x'
workspacename: 'x'
azureregion: 'x'
aksimagename: 'x'
aks_name: "mlaks"
location: "" #Root Dir of Project
python_path: "" #Root Dir of Python Env
cluster_name: "-"
flighting_release: false
flighti... | AI/.ci/steps/deploy_container_steps_v2.yml/0 | {
"file_path": "AI/.ci/steps/deploy_container_steps_v2.yml",
"repo_id": "AI",
"token_count": 448
} | 21 |
parameters:
Input_String: ""
Output_Variable: ""
cut_length: 12
steps:
- bash: |
$Output_Variable=$(echo $Input_String | cut -c1-$cut_length)
echo "##vso[task.setvariable variable=$Output_Variable]$Output_Variable"
| AI/.ci/steps/shorten_string.yml/0 | {
"file_path": "AI/.ci/steps/shorten_string.yml",
"repo_id": "AI",
"token_count": 91
} | 22 |
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
"accountName": {
"type": "string"
},
"databaseName": {
"type": "string"
},
"containerName": {
"type": "string"
},
"partitionKey... | AI/AzureDeployment/CosmosDB/cosmosdb.json/0 | {
"file_path": "AI/AzureDeployment/CosmosDB/cosmosdb.json",
"repo_id": "AI",
"token_count": 1040
} | 23 |
import torch
def pad_ids(input_ids, attention_mask, token_type_ids, max_length, pad_token, mask_padding_with_zero, pad_token_segment_id, pad_on_left=False):
padding_length = max_length - len(input_ids)
if pad_on_left:
input_ids = ([pad_token] * padding_length) + input_ids
attention_mask = ([0 ... | ANCE/data/process_fn.py/0 | {
"file_path": "ANCE/data/process_fn.py",
"repo_id": "ANCE",
"token_count": 2423
} | 24 |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, Optional, Dict, Tuple, Any, NamedTuple, List
import torch
import torch.nn as nn
from .modules import (
Fairs... | ANCE/model/SEED_Encoder/transformer_sentence_encoder.py/0 | {
"file_path": "ANCE/model/SEED_Encoder/transformer_sentence_encoder.py",
"repo_id": "ANCE",
"token_count": 15925
} | 25 |
from .preprocessed_dataset import PreprocessedDataset | ASTRA/astra/dataset/__init__.py/0 | {
"file_path": "ASTRA/astra/dataset/__init__.py",
"repo_id": "ASTRA",
"token_count": 16
} | 26 |
#!/bin/bash
echo "creating e2e datasets..."
path=data/e2e
echo "train..."
python src/format_converting_e2e.py $path/train.txt $path/train_formatted.jsonl
python src/gpt2_encode.py --vocab vocab --input $path/train_formatted.jsonl --output $path/train.jsonl --add_bos --add_eos
echo "test..."
python src/format_convertin... | AdaMix/NLG/create_datasets.sh/0 | {
"file_path": "AdaMix/NLG/create_datasets.sh",
"repo_id": "AdaMix",
"token_count": 864
} | 27 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/loralib/layers.py/0 | {
"file_path": "AdaMix/NLG/loralib/layers.py",
"repo_id": "AdaMix",
"token_count": 9565
} | 28 |
sudo apt-get update
sudo apt-get -y install jq virtualenv
virtualenv -p `which python3` ./venv
. ./venv/bin/activate
pip install -r requirement.txt
source download_pretrained_checkpoints.sh
source create_datasets.sh
cd ./eval
source download_evalscript.sh
cd .. | AdaMix/NLG/setup.sh/0 | {
"file_path": "AdaMix/NLG/setup.sh",
"repo_id": "AdaMix",
"token_count": 85
} | 29 |
apiVersion: v1
kind: PersistentVolume
metadata:
name: huggingface-cluster-disk
spec:
storageClassName: ""
capacity:
storage: 500Gi
accessModes:
- ReadOnlyMany
claimRef:
namespace: default
name: huggingface-cluster-disk-claim
gcePersistentDisk:
pdName: huggingface-cluster-disk
fsType:... | AdaMix/docker/transformers-pytorch-tpu/dataset.yaml/0 | {
"file_path": "AdaMix/docker/transformers-pytorch-tpu/dataset.yaml",
"repo_id": "AdaMix",
"token_count": 274
} | 30 |
..
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/bertology.rst/0 | {
"file_path": "AdaMix/docs/source/bertology.rst",
"repo_id": "AdaMix",
"token_count": 568
} | 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 ... | AdaMix/docs/source/main_classes/model.rst/0 | {
"file_path": "AdaMix/docs/source/main_classes/model.rst",
"repo_id": "AdaMix",
"token_count": 757
} | 32 |
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