This fixes point 2 of #20516
This adds a conversion from Dataview/Buffer by returning `obj.buffer`
which can be converted to a `UInt8Array`.
Question: Regarding point 4 of the mentioned issue would it be
appropriate to copy the toU8 helper to the `zlib.mjs` methods?
These tests started failing on CI on Dec 28th, 2023 returning
ENOTFOUND. It's unclear what's going on, since `dig -x
8.8.8.8.in-addr.arpa`.
It needs a deeper investigation, but I want to unblock main branch
in the meantime.
Main change is that:
- "hyper" has been renamed to "hyper_v014" to signal that it's legacy
- "hyper1" has been renamed to "hyper" and should be the default
`opAsync` requires a lookup by name on each async call. This is a
mechanical translation of all opAsync calls to ensureFastOps.
The `opAsync` API on Deno.core will be removed at a later time.
When we migrate to op-import-per-extension, we will want to ensure that
ops have one and only one place where they are imported. This tackles
the ops that are imported via `ensureFastOps`, but does not yet tackle
direct `ops` imports.
Landing ahead of https://github.com/denoland/deno_core/pull/393
Node HTTP/2 was using the default h2 `Bytes` datatype when we can be
making using of `BufView` like we do in `Deno.serve`.
`fetch` and `Deno.serverHttp` can't make use of `BufView` because they
are using `reqwest` which is stuck on hyper 0.x at this time.
This commit adds a way to connect to the TS compiler host that is run
as part of the "deno lsp" subcommand. This can be done by specifying
"DENO_LSP_INSPECTOR" variable.
---------
Co-authored-by: Nayeem Rahman <nayeemrmn99@gmail.com>
This PR implements the child_process IPC pipe between parent and child.
The implementation uses Windows named pipes created by parent and passes
the inheritable file handle to the child.
I've also replace parts of the initial implementation which passed the
raw parent fd to JS with resource ids instead. This way no file handle
is exposed to the JS land (both parent and child).
`IpcJsonStreamResource` can stream upto 800MB/s of JSON data on Win 11
AMD Ryzen 7 16GB (without `memchr` vectorization)
`napi_open_handle_scope` was returning a bogus handle_scope and we were
trying to close it in `napi_close_handle_scope`.
This is a bit of a challenge to test, but the following testcase comes
from #21601 and appears to be fixed by this.
```
import { decode } from "https://deno.land/std@0.209.0/encoding/base64.ts";
import sharp from "npm:sharp";
const img = 'iVBORw0KGgoAAAANSUhEUgAAAQAAAAEAAQMAAABmvDolAAAAA1BMVEWq09/P7Lz1AAAAH0lEQVRoge3BAQ0AAADCoPdPbQ43oAAAAAAAAAAAvg0hAAABmmDh1QAAAABJRU5ErkJggg==';
Deno.test("async", async () => {
const id = setTimeout(() => Deno.exit(1), 1000);
await sharp(decode(img)).toBuffer();
await sharp(decode(img)).toBuffer();
clearTimeout(id);
});
```
Fixes https://github.com/denoland/deno/issues/21594
I verified locally that this fixes the problem. I'm working on testing
harness for Jupyter kernel to catch regressions like this and will
add it in a follow up PR.
