Update ts-loader to the latest version 🚀

[greenkeeper]

Version 3.2.0 of ts-loader was just published.

Dependency	ts-loader
Current Version	2.3.7
Type	devDependency

The version 3.2.0 is not covered by your current version range.

If you don’t accept this pull request, your project will work just like it did before. However, you might be missing out on a bunch of new features, fixes and/or performance improvements from the dependency update.

It might be worth looking into these changes and trying to get this project onto the latest version of ts-loader.

If you have a solid test suite and good coverage, a passing build is a strong indicator that you can take advantage of these changes directly by merging the proposed change into your project. If the build fails or you don’t have such unconditional trust in your tests, this branch is a great starting point for you to work on the update.

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Release Notes

v3.2.0

• Add new loader option contextAsConfigBasePath - thanks @christiantinauer

Commits

The new version differs by 99 commits.

• e5b2f51 Prepare 3.2.0 release
• ba72dfc Merge pull request #681 from christiantinauer/master
• c95bdfe Merge pull request #673 from trodrigues/master
• f37e438 Update browserMocks.js
• 2d09770 Add description of option "contextAsConfigBasePath" to README.
• 02fe053 Fixed comparison test "validateLoaderOptionNames".
• 4c713e0 Add execution-test for option "contextAsConfigBasePath".
• ebd2bb5 Add new loader option "contextAsConfigBasePath", which when set to true, parses to tsconfig file with respect to webpack context path (https://webpack.js.org/configuration/entry-context/#context) instead of the location of the config file. So all relative paths in config file are treated relative to webpack context This makes configurations possible, where the tsconfig file is located in a npm package or elsewhere in the project structure.
• 88809f9 Update README with explanation
• 5a32a07 Update example to actually include some typed code
• 013bac9 Merge pull request #678 from johnnyreilly/master
• 0951587 regenerate output for 2.6 and add 2.6 to test matrix
• 512c9e6 create ts 2.6 comparison-test results
• 4d4b8aa upgraded to building with ts 2.6
• e4cbeb8 Merge pull request #676 from gsteacy/master

There are 99 commits in total.

See the full diff

FAQ and help

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Your Greenkeeper bot 🌴

[kyasbal]

Grimoire.js E2E Test result

** Commit: 78e25db**

Compared with 24dd79b

This page or pull request reply was automatically generated.

Summary

Diff changed E2E result count : 0 / 17

forward-shading

Test results: 1

0:forward-shading/pbr-rougness-metallic[PASSED] -- (load: 29060 / waitFor: )

OPEN

Logs

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Meta

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Key	Value
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waitFor
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---

fundamental

Test results: 9

0:fundamental/texture-direction[PASSED] -- (load: 2798 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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To suppress this message,please inject a line "gr.debug = false;" on the initializing timing. color:#44F;font-weight:bold;

Meta

Key	Value
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Config

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---

1:fundamental/uv[PASSED] -- (load: 3629 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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To suppress this message,please inject a line "gr.debug = false;" on the initializing timing. color:#44F;font-weight:bold;

Meta

Key	Value
config	[object Object]
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Config

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---

2:fundamental/normal[PASSED] -- (load: 3155 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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To suppress this message,please inject a line "gr.debug = false;" on the initializing timing. color:#44F;font-weight:bold;

Meta

Key	Value
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Key	Value
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---

3:fundamental/wireframe[PASSED] -- (load: 1633 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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To suppress this message,please inject a line "gr.debug = false;" on the initializing timing. color:#44F;font-weight:bold;

Meta

Key	Value
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Config

Key	Value
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---

4:fundamental/canvasFollowRelative[PASSED] -- (load: 1327 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

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---

5:fundamental/canvasConsiderBorder[PASSED] -- (load: 851 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

Key	Value
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---

6:fundamental/dynamicParentSizeChange[PASSED] -- (load: 846 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

Key	Value
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Config

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shift	2
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---

7:fundamental/drawerContext[PASSED] -- (load: 1711 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
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Meta

Key	Value
config	[object Object]
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Config

Key	Value
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timeout	100000
waitFor
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threshold	3%
shift	2
group	fundamental
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---

8:fundamental/drawerContext2[PASSED] -- (load: 1411 / waitFor: )

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

Key	Value
config	[object Object]
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Config

Key	Value
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timeout	100000
waitFor
width	640
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threshold	3%
shift	2
group	fundamental
name	drawerContext2

---

glTF

Test results: 7

0:glTF/gltf-triangle[NOT TESTED BEFORE]

• load: 907
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

  1 : [email protected]
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Meta

Key	Value
config	[object Object]
loadTime	907
logs	[object Object]
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Config

Key	Value
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timeout	100000
waitFor
width	640
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threshold	3%
shift	2
group	glTF
name	gltf-triangle

---

1:glTF/gltf-triangle-without-indices[NOT TESTED BEFORE]

• load: 1016
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

Key	Value
config	[object Object]
loadTime	1016
logs	[object Object]
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Config

Key	Value
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timeout	100000
waitFor
width	640
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threshold	3%
shift	2
group	glTF
name	gltf-triangle-without-indices

---

2:glTF/gltf-simple-meshes[NOT TESTED BEFORE]

• load: 1142
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

Key	Value
config	[object Object]
loadTime	1142
logs	[object Object]
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Config

Key	Value
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timeout	100000
waitFor
width	640
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threshold	3%
shift	2
group	glTF
name	gltf-simple-meshes

---

3:glTF/gltf-suzane[NOT TESTED BEFORE]

• load: 686
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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To suppress this message,please inject a line "gr.debug = false;" on the initializing timing. color:#44F;font-weight:bold;

Meta

Key	Value
config	[object Object]
loadTime	686
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diffTestResult	true
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Config

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timeout	100000
waitFor
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threshold	3%
shift	2
group	glTF
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---

4:glTF/gltf-duck[NOT TESTED BEFORE]

• load: 453
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

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Meta

Key	Value
config	[object Object]
loadTime	453
logs	[object Object]
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Config

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timeout	100000
waitFor
width	640
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threshold	3%
shift	2
group	glTF
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---

5:glTF/gltf-embedded-simple-meshes[NOT TESTED BEFORE]

• load: 565
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
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  2 : [email protected]
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Meta

Key	Value
config	[object Object]
loadTime	565
logs	[object Object]
diffTestResult	true
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Config

Key	Value
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timeout	100000
waitFor
width	640
height	480
threshold	3%
shift	2
group	glTF
name	gltf-embedded-simple-meshes

---

6:glTF/gltf-embedded-duck[NOT TESTED BEFORE]

• load: 619
• waitFor:

OPEN

Logs

log:%cGrimoire.js v0.21.1
plugins:

  1 : [email protected]
  2 : [email protected]
  3 : [email protected]
  4 : [email protected]
  5 : [email protected]

To suppress this message,please inject a line "gr.debug = false;" on the initializing timing. color:#44F;font-weight:bold;
error:Failed to resolve asset loading promise.

Loading fired by: gltf.GLTFModel
Attached node:gltf.model
Error has been occured during loading "https://ci.grimoire.gl/tf/Duck/glTF-Embedded/data:image/png;base64,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)"
[object Event]

Meta

Key	Value
config	[object Object]
loadTime	619
logs	[object Object],[object Object]
diffTestResult	true
url	https://codepen.io/kyasbal-1994/debug/079bead3a79fe8a059a41ae552b820bd#fundamental=staging-78e25db49b22af3fcbae2401cb60ecca9a32f62d

Config

Key	Value
url	https://codepen.io/kyasbal-1994/debug/079bead3a79fe8a059a41ae552b820bd
timeout	100000
waitFor
width	640
height	480
threshold	3%
shift	2
group	glTF
name	gltf-embedded-duck

---

[greenkeeper]

Version 3.3.0 just got published.

Update to this version instead 🚀

Release Notes

v3.3.0

• Report diagnostics only on certain files with reportFiles option - thanks @freeman!
• Replaced option contextAsConfigBasePath with context option. Strictly speaking a breaking change. However, given the original option was never able to fulfil its intended purpose I've decided to treat this as just a new feature; there seems no possibility that anyone can be using contextAsConfigBasePath - thanks @christiantinauer!
• Added support for the new watch api of TypeScript compiler. nb This feature has been placed behind a new experimentalWatchApi option until it has been thoroughly tested. All being well it is likely to become the default behaviour for ts-loader in future - thanks @sheetalkamat!

Commits

The new version differs by 42 commits.

• 6444fa4 Fix up tests
• e8a4bb0 Merge pull request #688 from christiantinauer/master
• c6354c1 Merge branch 'master' into master
• 3d41633 Fix reportFile tests
• ea8dfd7 Merge pull request #701 from freeman/reportFiles
• 92a73e2 Merge in watch fixes
• 27469c2 Add missing comma
• 64914e0 Merge branch 'master' into reportFiles
• 6d55769 Fixed believed issue with watch implementation cc @sheetalkamat
• 4a6b0da Fix tests and place watchApi usage behind experimentalWatchApi option
• 7add160 Merge pull request #685 from sheetalkamat/builderApi
• 3015608 Merge pull request #714 from TypeStrong/feature/create_2_7_test_pack
• 72b1648 upgrade CI to run with 2.7 rc
• 9a63c78 include emit changes for 2.7 in test pack
• 44fa12b create 2.7 test output

There are 42 commits in total.

See the full diff

[greenkeeper]

Version 3.3.1 just got published.

Update to this version instead 🚀

Release Notes

v3.3.1

• Fixes to support watch api for compiling - lib support etc - thanks @sheetalkamat!

Commits

The new version differs by 4 commits.

• dd60ed6 preparing for 3.3.1 release
• 21f4065 Merge pull request #715 from sheetalkamat/builderApiFixes
• fdacf55 Fix the lib file detection
• df9a387 Fixes to support builder api for compiling https://github.com/johnnyreilly/typescript-ts-loader-watch-api-illustration correctly

See the full diff