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openmodelica.org/ ?
model :- [modelKW, ws, ident, params, ws, vars, ws, initKW, ws, init, ws, equationKW, ws, equations, ws, endKW].
modelica example
I don't know how to put into words what I think I am learning here but it's not nothing
goto ???;
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testdata json.dd.txt ??
lol // TODO: problematic if there's a rule called RuleTree
// building the raw AST is so verbose.
treeSQL ? github.com/vilterp/treesql ?
createTableStmt :- [createKW, ws, tableKW, ws, tableName, ws, "(", ws, repSep(colSpec, commaWS), ws, ")"].
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lol duplicated definitions
case "Placeholder":
// TODO: idk
return { type: "Ref", captureName: "", rule: "???" };
item: tree, // weird that the children are in here too, but oh well
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lol {/* TODO: preserve order? */}
run_benchmarks_locally.sh
"ast.Placeholder", // to stop the annoying warning from the "jump to placeholder" action
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github.com/microsoft/vscode/…
// constructInterp has its own memoization, but that doesn't work across multiple LingoEditor instances
// TODO: file this as an issue in Monaco
hooks.ts looks very util
?? useEffectfulReducer // inspired by the Elm architecture
insertByDots
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github is not syntax highlighting .dl
insertIDIntoSpec // I guess this only really works for Vegalite specs, doesn't it...
ooh I see an ide folder
patchKeyBindings.ts 👀
very monaco github.com/microsoft/monaco-…
github.com/microsoft/vscode/…
what fuckery doth est, I like it
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references to archives.haskell.org/project… (News: October 27, 2016) and package.elm-lang.org/package… ("Under construction; many bugs and TODOs")
visualizers.tsx // TODO: syntax highlight using TermView?
lineNo: number; // 1-indexed # rude
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fun homebuilt runner runSuite
benchmark.ts exportProfile // returns promise with temp file path
runDDBenchmarkManual huh
diagrams/types.ts // | FlexLayout<T> // could replace Horiz & Vert
this is rubbing types on a library without them I think?
dimensions is a joy
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prettyPrintGraph, I admire this
good comment // have to escape backslashes first, cuz other steps insert backslashes
graphviz.org/Gallery/directe…
ah, airtable.ts just helps upload graphviz graphs, reasonable really
testing.ts lol // TODO: assert order-independent equal
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"tree" and test, collapseTree has comment // this is a weird algorithm
insertAtPath
pptRecurse ...powerpoint...? xD (pretty print)
streamUtil.ts, s3.ts ✅
json2dl.ts uhh
lol // this might not always be desired... but meh
json.ts just has jsonEq which is... fair.
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"export function sleep" sigh fair, partition, stringToArray (slits on empty) fair, fun that it looks just like ruby, range rangeFrom pushAll capitalize max
on to trie.ts // TODO: generic `item` member?
trieToTreeRecur ?? ok yes but what is this FOR
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pairsToObj, objToPairs (nice pair xD), clamp (wut, new to me) cool geeksforgeeks.org/stdclamp-i…
[insert|update|remove]AtIdx, flatten, zip // assumes that left and right are the same length, setUnion setAdd filterObj filterMapObj (lots of map to obj ops), sortBy, PERMUTE
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...repeat, repeatArr, uniq, uniqBy, contains, remove, toggle, ensurePresent, arrayEq,
// end list-as-set ops
yanno I am liking what this implies about repo code style, named and reused basic operations
getFirst is more complicated than I expected, lastItem, groupBy (nice),
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node version 14, reasonable
util.ts ah yes where the shit collects. what method names? mapObj, filterMap, intersperse (interesting), intersperseIdx, mapObjMaybe lol fair but put them next to each other?, mapListToObj, mapObjToList, mapObjToListUnordered, flatMapObjToList, flatMap
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more allTests.ts: short
// TODO: use a real arg parser
lol (ok but why do you want to if this works? I assume for Reasons but what are they?)
allBenchmarks.ts lol love it
// just cuz we don't have top-level await...
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yarn.lock, normal
tsconfig, what is typescriptlang.org/tsconfig#… transpiling to an older version of js
lots of scripts, consider alphabetizing them?
airtable is dev dep, weird why github.com/airtable/airtable…
dep npmjs.com/package/@monaco-ed… huh
npmjs.com/package/denque double ended q
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# this `cpuonly` and -c conda-forge is needed to reduce the paging file size on a github instance
welp that's a very rough skim
tasty brain pain
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# FYI, this returns a variable number of tiles, so the batch_size must be 1 (per gpu), e.g during inference
docs.nvidia.com/clara/
arxiv.org/abs/1903.08205
Add random guidance based on discrepancies that were found between label and prediction.
en.wikipedia.org/wiki/Choles…
1
def compute_isolated_tumor_cells(tumor_mask: np.ndarray, threshold: float) -> List[int]:
> Performs stain deconvolution of the source image using the ExtractHEStains
# retain only patches with significant foreground content to speed up inference
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for (offset_t c = 0; c < C; ++c, out_ptr_NCXY += out_sC, src_ptr_NC += src_sC) {
ID_REF_KEY = "@" # start of a reference to a ConfigItem
ID_SEP_KEY = "#" # separator for the ID of a ConfigItem
EXPR_KEY = "$" # start of a ConfigExpression
MACRO_KEY = "%" # start of a macro of
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pytorch.org/docs/stable/data…
Write numpy data into NIfTI files to disk. This function converts data
into the coordinate system defined by `target_affine`
calculate a reasonable output voxel spacing
1
camelyon16.grand-challenge.o…
proceedings.mlr.press/v119/c…
# Unsqueeze the network output
MLFlowHandler defines a set of Ignite Event-handlers for the MLFlow tracking logics
Register the postprocessing logic to the engine, will execute them as a chain when iteration completed.
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Multiple Instance Learning (MIL) model, with a backbone classification model.
Currently, it only works for 2D images, a typical use case is for classification of the
digital pathology whole slide images
An Image is Worth 16x16 Words: arxiv.org/abs/2010.11929
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Add Gaussian noise to image. This transform assumes all the expected fields have same shape
Simple full-connected layer neural network composed of a sequence of linear layers with PReLU activation and
dropout
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def deprecated_arg
> Base class for method decorators which can be used to replace methods pass to replace_method() with wrapped versions.
def _moveaxis_with_permute
Perform inverse on a batch of data. This is useful if you have inferred a batch of images and want to invert them
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Decorators and context managers for NVIDIA Tools Extension
en.wikipedia.org/wiki/Damera…
m = match("(\\d+)(.*)", val)
github.com/Project-MONAI/MON… best
def ensure_tuple_size
def list_to_dict(items):
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Either we're using git < 1.8.3, or there really are no tags.
> This class computes the occlusion sensitivity for a model's prediction of a given image. By occlusion sensitivity, we mean how the probability of a given prediction changes as the occluded section of an image changes
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# Initialize a dummy 3D tensor volume with shape (N,C,D,H,W)
input_volume = torch.ones(1, 1, 64, 256, 256, device=device)
# Remove spatial dim to slide across from the roi_size
TestScaleIntensityRangePercentiles
TestNPZDictItemDataset
TestHandlerROCAUC
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) + tuple(_pairwise(reversed(torture.split())))
TestTestTimeAugmentation
optimizer = torch.optim.Adam(model.parameters(), 1e-3)
@parameterized.expand(TEST_CASE_SUBPIXEL)
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config = testing_data_config("images", "Prostate_T2W_AX_1")
randomly sample ddf such that maximum displacement in each direction equals to one-tenth of the image dimension
[torch.tensor([[[[1]], [[0]]]]), torch.tensor([[[[1]], [[0]]]]), torch.tensor([[[[0]], [[1]]]])]
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keepachangelog.com/en/1.0.0/ :)
.pre-commit-config.yaml
github.com/pre-commit/pre-co…
.gitignore tests/testing_data/*Hippocampus*
> Skip the unit tests if platform is win32
@skipUnless(has_cucim, "Requires cucim")
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clang_format
runtests.sh
torch>=1.6
numpy>=1.17
MANIFEST.in
apache license
docker from ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:22.02…
github.com/Project-MONAI/MON… good
# Metadata for citation of this software according to the CFF format (citation-file-format.github.…)
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Onwards to github.com/Project-MONAI/MON…
forms.gle/QTxJq3hFictp31UM9
versioneer
or... poetry dynamic versions ?
p standard
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