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rappor
R2015–2018
google / rappor · Archived

rappor

RAPPOR: Privacy-Preserving Reporting Algorithms

5Distinct people
8Mentions
0Explicit recommenders
868GitHub stars
REPOSITORY AT A GLANCE

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What it is

RAPPOR: Privacy-Preserving Reporting Algorithms

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 3:30:57 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year8 dated mentions

Observed mentions: 2015-03-11 18:13:12 UTC to 2018-08-07 14:36:41 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC202
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC303
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202

What Hacker News says

3 sources
Yes I totally get what you are saying. At one point I might not have written the last unix_time() example, but that is my default now, UNTIL say I hit a bug and need to test it thoroughly. GetHomeDir() is a great example that proves that point... if I were trying to be very pure, I would have reified the pwd dependency and environment dependency. One reason to avoid the complication is that I'm using shell scripts for tests. So in shell you already have a test environment. You can set $HOME to whatever, and in theory /etc/passwd, although that's a little trickier. Actually that was one of my motivations for writing a shell :) You can test "one level out" at the OS level. Instead of the "seam" being the language, the seam is the OS. I prefer to test against STABLE INTERFACES, not against things that I made up internally. You don't wa
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nt your tests to calcify the structure of your code. I've seen that happen a lot with fine-grained testing, and it's a big pitfall. I would say at the beginning, I write unit tests for tricky parts, but don't aim for 100% unit test coverage. I aim more for high integration test coverage. And then at the end of the project, when you are fixing bugs, that is when you can do fine-grained testing without worrying about making a mess of your code. Here I did parameterize random() (irr_rand), because it's very important to the function of the code and needs to be tested: https://github.com/google/rappor/blob/master/client/python/r... So it all depends on the context. That's why I say it takes some practice. It takes practice to: - not end up with more than 3-4 parameters for each class. - not end up with too many classes. Java code seems to fall into this. A lot of things are just functions with dependencies. Actually this style I think reduces the need for classes -- they are your parameters rather than being your context! - not structuring your code as a deep tree of calls. Instead it should be a relatively flat object graph. A relatively static "Object graph" is really the idea that distinguishes OOP from "structured programming" (i.e. a pyramid). I think I would differ with you in that I don't think DI and functional programming are that different. I think they are trying to get at the same core idea. Things I ALMOST NEVER use in Python: - setters and getters. - Especially, setters for dependency injection. I always pass params through constructors. - decorators. This can always be accomplished with composition of objects. I find that style a lot more readable. decorators are non-trivial code at the global level, when it really should be in main(). - classmethod and staticmethod. Static methods should just be functions. Class method is kind of a hack for singleton-like behavior. - As mentioned, the singleton pattern is banned. Singletons are just classes you instantiate once. I like that this style gets rid of a lot of concepts: thread local (as mentioned above), explicit singleton pattern, and "static/class methods". Also I think it's true that Java's static type system might get in the way a little bit, but I don't have a strong conclusion on that. However, I also wish Python were a little more strict. I don't use 90% of the dynamism of classes.
In A theory of modern Golang

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