How to combine Debian and Yocto/Bitbake? Manuel Traut ELCE 2017 - Prague What's next? 1. Why Yocto? 2. About Debian 3. Benefit of a combination 4. Existing solutions

should one combine hash codes from your data members to create a “good” hash function?2024 Victor Ciura | @ciura_victor - Unleashing 🦀 The Ferris Within 14 Questions How should one combine hash codes Victor Ciura | @ciura_victor - Unleashing 🦀 The Ferris Within 14 Questions How should one combine hash codes from your data members to create a “good” hash function? How does one know if you have Victor Ciura | @ciura_victor - Unleashing 🦀 The Ferris Within 14 Questions How should one combine hash codes from your data members to create a “good” hash function? How does one know if you have

Value / "(" expression ")" 2. combine = atomic / combine "*" atomic / combine "/" atomic 3. expression = combine / expression "+" combine / expression "-" combine 注意到除了简单的组合以外，出现了左递归 左递归会导致我们的解析器进⼊循环 修改后的语法定义 1. atomic = Value / "(" expression ")" 2. combine = atomic *( ("*" / "/") atomic) 3. expression = combine *( ("+" / "-") combine) 数据结构 1. enum Expression { 2. Number(Int) 3. Plus(Expression 10. // combine = atomic *( ("*" / "/") atomic) 11. let combine = atomic.and(multiply.or(divide).and(atomic).many()).map(fn { 12. ... 13. }) 14. 15. // expression = combine *( ("+" / "-")

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 10 Group By: split-apply-combine 117 10.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . . . . data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert might extend further back in history or have more complete data coverage. As such, we would like to combine two DataFrame objects where missing values in one DataFrame are conditionally filled with like-labeled

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 10 Group By: split-apply-combine 117 10.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . . . . data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert might extend further back in history or have more complete data coverage. As such, we would like to combine two DataFrame objects where missing values in one DataFrame are conditionally filled with like-labeled

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 10 Group By: split-apply-combine 125 10.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . . . . data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert might extend further back in history or have more complete data coverage. As such, we would like to combine two DataFrame objects where missing values in one DataFrame are conditionally filled with like-labeled

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 12 Group By: split-apply-combine 239 12.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . . . . data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert might extend further back in history or have more complete data coverage. As such, we would like to combine two DataFrame objects where missing values in one DataFrame are conditionally filled with like-labeled

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 13 Group By: split-apply-combine 321 13.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . . . . data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert if it’s cold in Montreal in the winter (spoiler: yes). Web scraping with pandas is fun! Here we combine dataframes. • Chapter 6: Strings with pandas are great. It has all these vectorized string operations

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 13 Group By: split-apply-combine 351 13.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . . . . data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert clip_lower df2.add_suffix df2.clip_upper df2.align df2.columns df2.all df2.combine df2.any df2.combineAdd df2.append df2.combine_first df2.apply df2.combineMult df2.applymap df2.compound df2.as_blocks

Place the free chunk in the appropriate bin ● If this chunk is adjacent to another free chunk, combine ● Heap free chunk in-use chunk in-use chunk binsHow does my code impact memory usage? malloc Place the free chunk in the appropriate bin ● If this chunk is adjacent to another free chunk, combine ● Heap free chunk in-use chunk free chunk in-use chunk binsHow does my code impact memory Place the free chunk in the appropriate bin ● If this chunk is adjacent to another free chunk, combine ● Heap free chunk in-use chunk free chunk in-use chunk bins new chunk sbrk()How does my