Almost all test scripts currently need to override the __init__()
method. When they do that they need to call into super().__init__() as
the base class does some generic initialization.
This commit makes the base class __init__() call into set_test_params()
method. Individual test cases can override set_test_params() to setup
their test parameters.
Separates the act of creating a TestNode object from starting the node.
The test_framework now keeps track of its list of TestNodes, and test
writers can call start_node() and stop_node() without having to update
the self.nodes list.
A few "a->an" and "an->a".
"Shows, if the supplied default SOCKS5 proxy" -> "Shows if the supplied default SOCKS5 proxy". Change made on 3 occurrences.
"without fully understanding the ramification of a command" -> "without fully understanding the ramifications of a command".
Removed duplicate words such as "the the".
38bc1ec Make more json-like output from estimaterawfee (Alex Morcos)
2d2e170 Comments and improved documentation (Alex Morcos)
ef589f8 minor cleanup: remove unnecessary variable (Alex Morcos)
3ee76d6 Introduce a scale factor (Alex Morcos)
5f1f0c6 Historical block span (Alex Morcos)
aa19b8e Clean up fee estimate debug printing (Alex Morcos)
10f7cbd Track first recorded height (Alex Morcos)
3810e97 Rewrite estimateSmartFee (Alex Morcos)
c7447ec Track failures in fee estimation. (Alex Morcos)
4186d3f Expose estimaterawfee (Alex Morcos)
2681153 minor refactor: explicitly track start of new bucket range and don't update curNearBucket on final loop. (Alex Morcos)
1ba43cc Make EstimateMedianVal smarter about small failures. (Alex Morcos)
d3e30bc Refactor to update moving average on fly (Alex Morcos)
e5007ba Change parameters for fee estimation and estimates on all 3 time horizons. (Alex Morcos)
c0a273f Change file format for fee estimates. (Alex Morcos)
Tree-SHA512: 186e7508d86a1f351bb656edcd84ee9091f5f2706331eda9ee29da9c8eb5bf67b8c1f2abf6662835560e7f613b1377099054f20767f41ddcdbc89c4f9e78946d
Change the logic of estimateSmartFee to check a 60% threshold at half the target, a 85% threshold at the target and a 95% threshold at double the target. Always check the shortest time horizon possible and ensure that estimates are monotonically decreasing. Add a conservative mode, which makes sure that the 95% threshold is also met at longer time horizons as well.
