netlify / zip-it-and-ship-it

Intelligently prepare Node.js Lambda functions for deployment
https://www.npmjs.com/package/@netlify/zip-it-and-ship-it
MIT License
316 stars 35 forks source link

chore(deps): update dependency @types/resolve to v1.20.6 #1669

Closed renovate[bot] closed 12 months ago

renovate[bot] commented 12 months ago

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This PR contains the following updates:

Package Change Age Adoption Passing Confidence
@types/resolve (source) 1.20.5 -> 1.20.6 age adoption passing confidence

Configuration

šŸ“… Schedule: Branch creation - "before 4am on Monday" (UTC), Automerge - At any time (no schedule defined).

šŸš¦ Automerge: Disabled by config. Please merge this manually once you are satisfied.

ā™» Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

šŸ”• Ignore: Close this PR and you won't be reminded about this update again.



This PR has been generated by Mend Renovate. View repository job log here.

github-actions[bot] commented 12 months ago

ā± Benchmark results

Comparing with dc6d7a5b706e4a60651931d67aa4544b8891bdab

largeDepsEsbuild: 1.4s

ā¬‡ļø 0.08% decrease vs. dc6d7a5b706e4a60651931d67aa4544b8891bdab

^   2.6s                                                                                                  
ā”‚   ā”Œā”€ā”€ā”                                                                                                  
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ā”‚ ā”€ā”€ā”¼ā”€ā”€ā”¼ā”€ā”€ā”€ā”€1.4sā”€ā”€ā”€ā”€1.5sā”€ā”€ā”€ā”€1.5sā”€ā”€ā”€ā”€1.4sā”€ā”€ā”€ā”€1.5sā”€ā”€ā”€ā”€1.5sā”€ā”€ā”€ā”€1.5sā”€ā”€ā”€ā”€1.4sā”€ā”€ā”€ā”€1.5sā”€ā”€ā”€ā”€1.4sā”€ā”€ā”€ā”€1.4sā”€ā”€ā”€ā”€1.4sā”€ā”€
ā”‚   |  |    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”  
ā”‚   |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |ā–’ā–’|  
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ā”‚   |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |ā–’ā–’|  
ā””ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€>
    T-12    T-11    T-10    T-9     T-8     T-7     T-6     T-5     T-4     T-3     T-2     T-1      T    
Legend - T-30 (a7b997238fc578a2c83b921cb2d4c1eab1f93325): 3.1s - T-29 (0381be519b6fff91a86bdcd19ac3a196a3480515): 3.4s - T-28 (af0e46cdbadd228d2cc4876e0cc861e8af14ebef): 2.6s - T-27 (b7fc0822d55c26daee4afbd7f4041ee0d034decb): 3.1s - T-26 (afaa4efdccf011d985f82719b4dc71ce7f051346): 2.7s - T-25 (390820e5a45277d4233cab6a3dae20079959421a): 2.5s - T-24 (a01ecdb7e4b348d7fa71d576ae02f918b897a2df): 3.1s - T-23 (97992ee4384e445302377c0ee35281abc8079daf): 3.4s - T-22 (d70673a431723619961dd38778d72ccadc0b0f02): 1.5s - T-21 (cacee3f27337b6876f19648fb4f9101fdffc85fd): 2.7s - T-20 (52a665423de77ef569fa66a02d6291d12ede9667): 3.5s - T-19 (c0b0b7ad9608b0690581741d3dea644fde476dc6): 2.7s - T-18 (15399f431ee0a03a277a25b19ff4b42295ad3d2a): 2.7s - T-17 (ac5532d098d615efe03a55f9f8727523493ce4e2): 2.7s - T-16 (e4d0ba977cbdd88a20495b326bbaf0b1b401234a): 1.5s - T-15 (234379a3595fd8809d8bae0e4017570a3423cbb4): 1.5s - T-14 (5fc5321525756f5106509ded272b8f85e2d806e5): 1.5s - T-13 (fee5d2e190009b066d4d783090c76f9674dcb2b6): 1.5s - T-12 (b8a39b643d2c6101a20683e1a6823e1da188bf5a): 2.6s - T-11 (06ef08f4f96862917783227d488f2e5c9ddb81c5): 1.4s - T-10 (c0a64fc99bc49c9a43370a5056155fe17fbab3a4): 1.5s - T-9 (bcb0388489e28527fa14c0de957a8824c899e4dd): 1.5s - T-8 (5ca965f88059299af4e83bae9ab8583ebcb7ad1a): 1.4s - T-7 (46c96e2596f119885774c42840c8f7498736a55c): 1.5s - T-6 (145bc5fc20120dce597a5e3c5235144b6956cce5): 1.5s - T-5 (8ac5b33d75e003386a93dae3f6749d745c4028b8): 1.5s - T-4 (fd6c7e6a54d56dee8a0449834ec2fa3f8bb4e129): 1.4s - T-3 (1c7ce98f6924a1cad6d6ead04458ca19978ae991): 1.5s - T-2 (d40e8dd94d33d63061b41072e9023639b9d3e607): 1.4s - T-1 (dc6d7a5b706e4a60651931d67aa4544b8891bdab): 1.4s - **T (current commit): 1.4s**

largeDepsNft: 5.6s

ā¬†ļø 3.27% increase vs. dc6d7a5b706e4a60651931d67aa4544b8891bdab

^   8.1s                                                                                                  
ā”‚   ā”Œā”€ā”€ā”                                                                                                  
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ā”‚   |  |    5.5s    5.6s    5.5s            5.5s    5.5s    5.6s    5.5s    5.5s    5.6s            5.6s  
ā”‚ ā”€ā”€ā”¼ā”€ā”€ā”¼ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€5.5sā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€ā”€ā”€5.5sā”€ā”€ā”€ā”€ā”Œā”€ā”€ā”ā”€ā”€
ā”‚   |  |    |  |    |  |    |  |    ā”Œā”€ā”€ā”    |  |    |  |    |  |    |  |    |  |    |  |    ā”Œā”€ā”€ā”    |ā–’ā–’|  
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ā””ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€>
    T-12    T-11    T-10    T-9     T-8     T-7     T-6     T-5     T-4     T-3     T-2     T-1      T    
Legend - T-30 (a7b997238fc578a2c83b921cb2d4c1eab1f93325): 9.8s - T-29 (0381be519b6fff91a86bdcd19ac3a196a3480515): 10.7s - T-28 (af0e46cdbadd228d2cc4876e0cc861e8af14ebef): 8.1s - T-27 (b7fc0822d55c26daee4afbd7f4041ee0d034decb): 9.5s - T-26 (afaa4efdccf011d985f82719b4dc71ce7f051346): 8.5s - T-25 (390820e5a45277d4233cab6a3dae20079959421a): 7.4s - T-24 (a01ecdb7e4b348d7fa71d576ae02f918b897a2df): 9.8s - T-23 (97992ee4384e445302377c0ee35281abc8079daf): 10.8s - T-22 (d70673a431723619961dd38778d72ccadc0b0f02): 5.5s - T-21 (cacee3f27337b6876f19648fb4f9101fdffc85fd): 8.7s - T-20 (52a665423de77ef569fa66a02d6291d12ede9667): 11.1s - T-19 (c0b0b7ad9608b0690581741d3dea644fde476dc6): 8.5s - T-18 (15399f431ee0a03a277a25b19ff4b42295ad3d2a): 8.2s - T-17 (ac5532d098d615efe03a55f9f8727523493ce4e2): 8.5s - T-16 (e4d0ba977cbdd88a20495b326bbaf0b1b401234a): 5.5s - T-15 (234379a3595fd8809d8bae0e4017570a3423cbb4): 5.6s - T-14 (5fc5321525756f5106509ded272b8f85e2d806e5): 5.6s - T-13 (fee5d2e190009b066d4d783090c76f9674dcb2b6): 5.7s - T-12 (b8a39b643d2c6101a20683e1a6823e1da188bf5a): 8.1s - T-11 (06ef08f4f96862917783227d488f2e5c9ddb81c5): 5.5s - T-10 (c0a64fc99bc49c9a43370a5056155fe17fbab3a4): 5.6s - T-9 (bcb0388489e28527fa14c0de957a8824c899e4dd): 5.5s - T-8 (5ca965f88059299af4e83bae9ab8583ebcb7ad1a): 5.5s - T-7 (46c96e2596f119885774c42840c8f7498736a55c): 5.5s - T-6 (145bc5fc20120dce597a5e3c5235144b6956cce5): 5.5s - T-5 (8ac5b33d75e003386a93dae3f6749d745c4028b8): 5.6s - T-4 (fd6c7e6a54d56dee8a0449834ec2fa3f8bb4e129): 5.5s - T-3 (1c7ce98f6924a1cad6d6ead04458ca19978ae991): 5.5s - T-2 (d40e8dd94d33d63061b41072e9023639b9d3e607): 5.6s - T-1 (dc6d7a5b706e4a60651931d67aa4544b8891bdab): 5.5s - **T (current commit): 5.6s**

largeDepsZisi: 10.2s

ā¬‡ļø 1.50% decrease vs. dc6d7a5b706e4a60651931d67aa4544b8891bdab

^  15.8s                                                                                                  
ā”‚   ā”Œā”€ā”€ā”                                                                                                  
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ā”‚ ā”€ā”€ā”¼ā”€ā”€ā”¼ā”€ā”€ā”€10.5sā”€ā”€ā”€10.5sā”€ā”€ā”€10.5sā”€ā”€ā”€10.5sā”€ā”€ā”€10.4sā”€ā”€ā”€10.6sā”€ā”€ā”€10.5sā”€ā”€ā”€10.6sā”€ā”€ā”€10.4sā”€ā”€ā”€10.6sā”€ā”€ā”€10.4sā”€ā”€ā”€10.2sā”€ā”€
ā”‚   |  |    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”    ā”Œā”€ā”€ā”  
ā”‚   |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |  |    |ā–’ā–’|  
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ā””ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”“ā”€ā”€>
    T-12    T-11    T-10    T-9     T-8     T-7     T-6     T-5     T-4     T-3     T-2     T-1      T    
Legend - T-30 (a7b997238fc578a2c83b921cb2d4c1eab1f93325): 20.1s - T-29 (0381be519b6fff91a86bdcd19ac3a196a3480515): 21.1s - T-28 (af0e46cdbadd228d2cc4876e0cc861e8af14ebef): 16.1s - T-27 (b7fc0822d55c26daee4afbd7f4041ee0d034decb): 19.4s - T-26 (afaa4efdccf011d985f82719b4dc71ce7f051346): 16.2s - T-25 (390820e5a45277d4233cab6a3dae20079959421a): 15.1s - T-24 (a01ecdb7e4b348d7fa71d576ae02f918b897a2df): 20s - T-23 (97992ee4384e445302377c0ee35281abc8079daf): 21.1s - T-22 (d70673a431723619961dd38778d72ccadc0b0f02): 10.4s - T-21 (cacee3f27337b6876f19648fb4f9101fdffc85fd): 17.2s - T-20 (52a665423de77ef569fa66a02d6291d12ede9667): 21.3s - T-19 (c0b0b7ad9608b0690581741d3dea644fde476dc6): 16.8s - T-18 (15399f431ee0a03a277a25b19ff4b42295ad3d2a): 16.5s - T-17 (ac5532d098d615efe03a55f9f8727523493ce4e2): 16.7s - T-16 (e4d0ba977cbdd88a20495b326bbaf0b1b401234a): 10.6s - T-15 (234379a3595fd8809d8bae0e4017570a3423cbb4): 10.6s - T-14 (5fc5321525756f5106509ded272b8f85e2d806e5): 10.6s - T-13 (fee5d2e190009b066d4d783090c76f9674dcb2b6): 10.5s - T-12 (b8a39b643d2c6101a20683e1a6823e1da188bf5a): 15.8s - T-11 (06ef08f4f96862917783227d488f2e5c9ddb81c5): 10.5s - T-10 (c0a64fc99bc49c9a43370a5056155fe17fbab3a4): 10.5s - T-9 (bcb0388489e28527fa14c0de957a8824c899e4dd): 10.5s - T-8 (5ca965f88059299af4e83bae9ab8583ebcb7ad1a): 10.5s - T-7 (46c96e2596f119885774c42840c8f7498736a55c): 10.4s - T-6 (145bc5fc20120dce597a5e3c5235144b6956cce5): 10.6s - T-5 (8ac5b33d75e003386a93dae3f6749d745c4028b8): 10.5s - T-4 (fd6c7e6a54d56dee8a0449834ec2fa3f8bb4e129): 10.6s - T-3 (1c7ce98f6924a1cad6d6ead04458ca19978ae991): 10.4s - T-2 (d40e8dd94d33d63061b41072e9023639b9d3e607): 10.6s - T-1 (dc6d7a5b706e4a60651931d67aa4544b8891bdab): 10.4s - **T (current commit): 10.2s**