mirror of
https://github.com/capnproto/pycapnp.git
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6e7fffd7de
- Fixing flake8 configuration to agree with black - Adding black validation check to github actions
82 lines
2.4 KiB
Python
Executable file
82 lines
2.4 KiB
Python
Executable file
#!/usr/bin/env python
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import capnp
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import catrank_capnp
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from common import rand_int, rand_double, rand_bool, WORDS
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from random import choice
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from string import ascii_letters
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try:
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# Python 2
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from itertools import izip
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except ImportError:
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izip = zip
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class Benchmark:
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def __init__(self, compression):
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self.Request = catrank_capnp.SearchResultList.new_message
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self.Response = catrank_capnp.SearchResultList.new_message
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if compression == "packed":
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self.from_bytes_request = catrank_capnp.SearchResultList.from_bytes_packed
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self.from_bytes_response = catrank_capnp.SearchResultList.from_bytes_packed
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self.to_bytes = lambda x: x.to_bytes_packed()
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else:
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self.from_bytes_request = catrank_capnp.SearchResultList.from_bytes
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self.from_bytes_response = catrank_capnp.SearchResultList.from_bytes
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self.to_bytes = lambda x: x.to_bytes()
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def setup(self, request):
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goodCount = 0
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count = rand_int(1000)
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results = request.init("results", count)
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for i, result in enumerate(results):
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result.score = 1000 - i
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url_size = rand_int(100)
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result.url = "http://example.com/" + "".join(
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[choice(ascii_letters) for _ in range(url_size)]
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)
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isCat = rand_bool()
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isDog = rand_bool()
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if isCat and not isDog:
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goodCount += 1
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snippet = [choice(WORDS) for i in range(rand_int(20))]
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if isCat:
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snippet.append(" cat ")
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if isDog:
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snippet.append(" dog ")
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snippet += [choice(WORDS) for i in range(rand_int(20))]
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result.snippet = "".join(snippet)
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return goodCount
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def handle(self, request, response):
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results = response.init("results", len(request.results))
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for req, resp in izip(request.results, results):
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score = req.score
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if " cat " in req.snippet:
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score *= 10000
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if " dog " in req.snippet:
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score /= 10000
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resp.score = score
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resp.url = req.url
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resp.snippet = req.snippet
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def check(self, response, expected):
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goodCount = 0
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for result in response.results:
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if result.score > 1001:
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goodCount += 1
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return goodCount == expected
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