Is this value negative zero? === will lie to you
Exports native Promises if available, else lie
A basic but performant promise implementation
cast a lie
MarkdownAI - documentation that cannot lie. Meta-package and org index.
resove a lie
lie some why don't you
every goddman lie
any lie will do
quickly lie to each of them
the race is a lie
zip it up with a lie
Utility functions with types that don't lie.
apply a lie
the cake is a lie plugin for atri framework
lie-owner-fruit-foot
Auto mocks your server from a recorded .har file. Don't let your mocks lie to you!
Lie detection for JavaScript data structures
An optionally sync promise that directly passes along its value
grown-lie
lie-popular
lie-outline-web3-settle
File operations that don't lie — magic-byte MIME detection catches spoofed extensions, size + content validation is built in, and presigned S3 uploads are one call away. Stream-first so large uploads don't blow your memory.
fall-spring-throw-lie
A numerical library for working with Lie Groups and Algebras
Lie groups and Lie algebras for computational mathematics
Lie series and Baker-Campbell-Hausdorff formula computations
Lie group manifolds (SE2, SE3, SO2, SO3, Rn) with analytic Jacobians for optimization
A graph-based LLM white-box optimization toolbox: topology validation, Lie group orthogonalization, tensor ring compression
Lie groups in 2D and 3D: rotations, translations, etc.
First-principles construction of exceptional Lie groups from the Atlas of Resonance Classes
Lie groups and algebras
Lie algebra theory — structure constants, representations, exponential map, root systems, and Dynkin diagrams
sophus - geometry for robotics and computer vision
Yet Another Kalman Filter Implementation, as well as, Lie Theory (Lie group, algebra, vector) on SO(2), SO(3), SE(2) and SE(3). [no_std] is supported by default.
A topology and algebra library from first principles
Creates fake information.
Creates fake information.
Creates fake information.
Creates fake information
Creates fake information
FibberMailman lie to you when you ask for a Net::POP3.start call.
The cake is a lie!
Ruby's contemporary test coverage tools all lie, exaggerating coverage through false-positives and creating a false sense of security; minitest-coverage tries to address this. Coverage Analysis Tools rely on tracing facilities built into ruby’s VM. You run your tests, and collect data. Seems simple, but that’s a very flawed approach that buffers your coverage numbers up falsely. I’ve witnessed false coverage by as much as 60%, but it could be even worse. Worse, the tracing facilities currently make it impossible to get truly accurate numbers. Even so, they can be improved to be much more accurate.
Based on 'Thanks Obama' by Matthew Closson, Make America Great Again will remind you where the fault for your exceptions really lie.
With more than one application server, validates_uniqueness_of becomes a lie. Two app servers -> two requests -> two near-simultaneous uniqueness checks -> two processes that commit to the database independently, violating this faux constraint. You'll need a database-level constraint for cases like these. consistency_fail will find your missing unique indexes, so you can add them and stop ignoring the C in ACID.
Never gonna give you up, never gonna let you down Never gonna run around and desert you Never gonna make you cry, never gonna say goodbye Never gonna tell a lie and hurt you
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