1. 26 Aug, 2019 1 commit
  2. 23 Aug, 2019 1 commit
    • Kirill Smelkov's avatar
      *: Use golang.time universally · c3bd2c50
      Kirill Smelkov authored
      After 9c260fde (time: New package that mirrors Go's time) we have
      golang.time.now and golang.time.sleep and it makes it a more
      self-dependent system if timing facility is used through golang.time
      instead of outside std time module.
      For now this is only a "cleanness" change, but will become important once
      we start adding pyx-level nogil API to pygolang - there it will be
      important to use golang.time.* for correctness.
  3. 14 May, 2019 1 commit
    • Kirill Smelkov's avatar
      *: __future__ += absolute_imports; Use unified __future__ everywhere · 81dfefa0
      Kirill Smelkov authored
      - we are going to introduce golang.time, and from inside there without
        `from __future__ import absolute_imports` it won't be possible to import
        needed stdlib's time.
      - we were already doing `from __future__ import print_function`, but
        only in some files.
      -> It makes sense to apply updated __future__ usage uniformly.
  4. 04 Jul, 2018 1 commit
    • Kirill Smelkov's avatar
      py.bench: New command to benchmark python code similarly to `go test -bench` · 9bf03d9c
      Kirill Smelkov authored
      + corresponding bits in golang.testing package.
      py.bench description follows:
      py.bench, similarly to py.test, discovers bench_* functions and Bench* classes
      and then runs each discovered benchmark via golang.testing.benchmark. Similarly
      to `go test -bench`, benchmarking results are printed in Go benchmark format.
      For example, running py.bench on the following code::
          def bench_add(b):
              x, y = 1, 2
              for i in xrange(b.N):
                  x + y
      gives something like::
          $ py.bench --count=3 x.py
          pymod: bench_add.py
          Benchmarkadd    50000000        0.020 µs/op
          Benchmarkadd    50000000        0.020 µs/op
          Benchmarkadd    50000000        0.020 µs/op
      The implementation is based on t/py.bench from Wendelin.core - see
      following commits for its history: