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README.md

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@@ -32,7 +32,7 @@ s.observe({"method": "POST", "endpoint": "/login"}, 3.4)
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### With custom quantiles and precisions
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By default, metrics are observed for next quantile-precision pairs
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`((0.50, 0.05), (0.90, 0.01), (0.99, 0.001))`
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`((0.50, 0.05), (0.90, 0.01), (0.99, 0.001))`
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but you can provide your own value when creating the metric.
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```python
@@ -47,7 +47,7 @@ s.observe({}, 4.7)
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### With custom time window settings
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Typically, you don't want to have a Summary representing the entire runtime of the application,
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Typically, you don't want to have a Summary representing the entire runtime of the application,
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but you want to look at a reasonable time interval. Summary metrics implement a configurable sliding time window.
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The default is a time window of 10 minutes and 5 age buckets, i.e. the time window is 10 minutes wide, and

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