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-+++
-rss = "GSoC 2020: Outro"
-date = Date(2020, 8, 31)
-+++
-@def tags = ["pip", "gsoc"]
-
-# Outro
-
-> Steamed fish was amazing, matter of fact\
-> Let me get some jerk chicken to go\
-> Grabbed me one of them lemon pie theories\
-> And let me get some of them benchmarks you theories too
-
-\toc
-
-## The Look
-
-At the time of writing,
-{{pip 8771 "implementation-wise parallel download is ready"}}:
-
-[![asciicast](/assets/pip-8771.svg)](https://asciinema.org/a/356704)
-
-Does this mean I've finished everything just-in-time?  This sounds to good
-to be true!  And how does it perform?  Welp...
-
-## The Benchmark
-
-Here comes the bad news: under a decent connection to the package index,
-using `fast-deps` does not make `pip` faster.  For best comparison,
-I will time `pip download` on the following cases:
-
-### Average Distribution
-
-For convenience purposes, let's refer to the commands to be used as follows
-
-```console
-$ pip --no-cache-dir download {requirement}  # legacy-resolver
-$ pip --use-feature=2020-resolver \
-   --no-cache-dir download {requirement}  # 2020-resolver
-$ pip --use-feature=2020-resolver --use-feature=fast-deps \
-   --no-cache-dir download {requirement}  # fast-deps
-```
-
-In the first test, I used [axuy][] and obtained the following results
-
-| legacy-resolver | 2020-resolver | fast-deps |
-| --------------- | ------------- | --------- |
-| 7.709s          | 7.888s        | 10.993s   |
-| 7.068s          | 7.127s        | 11.103s   |
-| 8.556s          | 6.972s        | 10.496s   |
-
-Funny enough, running `pip download` with `fast-deps` in a directory
-with downloaded files already took around 7-8 seconds.  This is because
-to lazily download a wheel, `pip` has to {{pip 8670 "make many requests"}}
-which are apparently more expensive than actual data transmission on my network.
-
-!!! note "When is it useful then?"
-
-    With unstable connection to PyPI (for some reason I am not confident enough
-    to state), this is what I got
-    
-    | 2020-resolver | fast-deps |
-    | ------------- | --------- |
-    | 1m16.134s     | 0m54.894s |
-    | 1m0.384s      | 0m40.753s |
-    | 0m50.102s     | 0m41.988s |
-    
-    As the connection was *unstable* and that the majority of `pip` networking
-    is performed as CI/CD with large and stable bandwidth, I am unsure what this
-    result is supposed to tell (-;
-
-### Large Distribution
-
-In this test, I used [TensorFlow][] as the requirement and obtained
-the following figures:
-
-| legacy-resolver | 2020-resolver | fast-deps |
-| --------------- | ------------- | --------- |
-| 0m52.135s       | 0m58.809s     | 1m5.649s  |
-| 0m50.641s       | 1m14.896s     | 1m28.168s |
-| 0m49.691s       | 1m5.633s      | 1m22.131s |
-
-### Distribution with Conflicting Dependencies
-
-Some requirement that will trigger a decent amount of backtracking by
-the current implementation of the new resolver `oslo-utils==1.4.0`:
-
-| 2020-resolver | fast-deps |
-| ------------- | --------- |
-| 14.497s       | 24.010s   |
-| 17.680s       | 28.884s   |
-| 16.541s       | 26.333s   |
-
-## What Now?
-
-I don't know, to be honest.  At this point I'm feeling I've failed my own
-(and that of other stakeholders of `pip`) expectation and wasted the time
-and effort of `pip`'s maintainers reviewing dozens of PRs I've made
-in the last three months.
-
-On the bright side, this has been an opportunity for me to explore the codebase
-of package manager and discovered various edge cases where the new resolver
-has yet to cover (e.g. I've just noticed that `pip download` would save
-to-be-discarded distributions, I'll file an issue on that soon).  Plus I got
-to know many new and cool people and idea, which make me a more helpful
-individual to work on Python packaging in the future, I hope.
-
-[TensorFlow]: https://www.tensorflow.org
-[axuy]: https://sr.ht/~cnx/axuy