RailsConf 2017

It's my keynote from RailsConf 2017

2. Hello ICON!
3. Hello RailsConf!
5. Hi, I’m @tenderlove
7. h GitHub
8. Le Git
9. Le Gîte Hub
10. Rails Core Team
11. Ruby Core Team
15. I have stickers!
20. "Why Slack is inappropriate for open source communications"
21. "We are, temporarily, in a kind of dark ages of end-user open source software."
22. Oops, I died of plague This is a rat
23. Electron is flash for the desktop
24. "slack often idles at 5% CPU usage"
25. CPU Slack
26. "Buy a bigger CPU, ya dummy"
27. Alan Turning
28. HN on Language Features
29. "No generics and no sum types? Those are no longer groundbreaking, they're the bare minimum.*" *Emphasis not mine
30. No generics means your language is a failure
31. Insurance companies only cover Generics
32. Sorry, your language has been denied L'Hôpital
35. #supportlocal
36. Local Coffee!
37. Local Tea!
38. Trolling DHH: An Annual Tradition
41. Faith Based Programmer
42. "Pleaseworkpleaseworkpleas eworkpleaseworkpleasework" The Programmer’s Prayer
45. 24 bit audio
46. 10+ Years of Rails
47. It was the year 2003
49. What should I do with all this free time?
50. "We’ve tried to charge your card hundreds of times"
51. Technical Debt
52. Developers want to pay off technical debt
53. Managers do not want to pay off technical debt (if they can help it)
54. Tech Debt Gem Gem Gem Gem Gem Meta Gem
55. Tech Debt Gem Gem Gem Gem Gem "Bond" "Tranche"
56. Tech Debt Gem Gem Gem Webpack Gem Rails
57. Blood of young people
58. Concatenating a bunch of strings
62. Not a Joke
65. $5
67. 5.1
68. Rails 5.1 is out!
69. Thanks @rafaelfranca!!! ❤
70. I don’t have time for this Things I don’t have time for but would like to do
71. Non-committal
72. Humorous use of common phrase
73. "No Pressure"
74. ALL OF THE PRESSURE
75. Searls - Briggs
76. STRESS
77. Fear & Self Doubt
78. 5 things I don’t have time to do but you should do them for me
79. What if I don’t have time to present 5 things??
80. What if I want to talk about things I do have time for?
81. Some things I don’t have time to do but you should do them for me Maybe like 3 things?
82. Probably Important Definitely Not Important
83. HTTP/2 + Rack A thing that I do have time for
84. What is HTTP/2?
85. 1 better than HTTP/1
86. 0.9 better than HTTP/1.1
87. HTTP/2 (really) • Binary protocol • Multiplexes (multiple requests on the same socket) • Secure (only works over SSL*) • Push responses
88. Push Response Flow
89. HTTP 1.1 Time index.html jquery.js gorby.css Client Server
90. HTTP 2 Time index.html jquery.js gorby.css Client Server
91. Save Time by Pushing "Needed" Resources
92. H2 Problems
93. H2 is still stateless
94. HTTP 2 Time index.html jquery.js gorby.css Client Server
95. Double Assets • Client can cancel (requires round trip) • Resend assets (extra bandwidth)
96. Solution: H2O + SALT Get it, "solution"????
97. Solution: H2O + Cookies
98. What is H2O? https://h2o.examp1e.net
99. Server (Unicorn) Proxy (h2o) Client HTTP/2 HTTP/1.1
100. H2 Pushes with HTTP/1.1
101. Link Header 200 OK Content-Length: 1024 Content-Type: text/html Link: </choochoo.css>; rel=preload Link: </gorby.js>; rel=preload response body
102. Server (Unicorn) Proxy (h2o) Client HTTP/2 HTTP/1.1 200 OK Content-Length: 1024 Content-Type: text/html Link: </choochoo.css>; rel=preload Link: </gorby.js>; rel=preload response body
103. No state tracking in the app
104. Link Header Problem 200 OK Content-Length: 1024 Content-Type: text/html Link: </choochoo.css>; rel=preload Link: </gorby.js>; rel=preload response body
105. 103 Early Hints
106. 103 Early Response 103 Early Hints Link: </choochoo.css>; rel=preload Link: </gorby.js>; rel=preload 200 OK Content-Length: 1024 Content-Type: text/html response body
107. Rack Support Rack 3.0
108. New ENV hash key! ("yay") env['rack.push'].call(103, [ ['Link', '/gorby.css'] ], [])
109. Backwards Compatibility
110. Graceful Upgrade
111. Rack 3.0
112. This is a talk about code smells
113. Data I acquired (crap data) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32
114. Ruby VM Tricks
115. How a VM works
116. VM [push, 4] [push, 3] [add] PC Program Stack 4 3 7
117. Implementation instructions = [ [:push, 3], [:push, 7], [:add], ] pc = 0 loop do instruction = instructions[pc] pc += 1 send function_table[instruction.first] end
118. Generate the VM
119. Loop Elimination instructions = [ [:push, 3], [:push, 7], [:add], ] def push_op pc, val, instructions # code to push on the stack # .... next_instruction = instructions[pc] send(function_table[next_instruction.first] pc + 1, next_instruction, instructions) end def add pc, val, instructions # code to add # .... next_instruction = instructions[pc] send(function_table[next_instruction.first] pc + 1, next_instruction, instructions) end # start of VM pc = 0 instruction = instructions[pc] pc += 1 send function_table[instruction.first] Generated
120. Threaded VM
121. Function call elimination
122. Function Name Lookup Table instructions = [ [:push, 3], [:push, 7], [:add], ] function_table = { :push => :push_op, :add => :add_op, } def push_op pc, val, instructions # code to push on the stack # .... next_instruction = instructions[pc] send(function_table[next_instruction.first] pc + 1, next_instruction, instructions) end
123. JUMP instructions = [ [:push, 3], [:push, 7], [:add], ] function_table = { :push => ADDRESS_OF(:push_op), :add => ADDRESS_OF(:add_op), } label: :add_op # code to add # ... next_instruction = instructions[pc] val = next_instruction.drop(1) address = function_table[next_instruction.first] pc += 1 GOTO(address) label: :push_op # code to push on the stack # .... next_instruction = instructions[pc] val = next_instruction.drop(1) address = function_table[next_instruction.first] pc += 1 GOTO(address) Generated
124. Lookup Table Elimination
125. Addresses in Byte Code instructions = [ [ADDRESS_OF(:push_op), 3], [ADDRESS_OF(:push_op), 7], [ADDRESS_OF(:add)], ] label: :add_op # code to add # ... next_instruction = instructions[pc] val = next_instruction.drop(1) address = next_instruction.first pc += 1 GOTO(address) label: :push_op # code to push on the stack # .... next_instruction = instructions[pc] val = next_instruction.drop(1) address = next_instruction.first pc += 1 GOTO(address)
126. Direct Threaded VM
127. Addresses are just integers
128. MRI’s VM is Direct Threaded
129. Create custom instructions built from machine code at runtime
130. Extremely Simple Code require 'lolvm' class MyRuby attr_reader :rb_path2class, :rb_define_method, :mod def initialize ctx @mod = ctx.create_module 'ruby' @ctx = ctx init_functions end private def init_functions @rb_path2class = make_func('rb_path2class', @ctx.int8.pointer, [@ctx.int8.pointer]) @rb_define_method = make_func('rb_define_method', @ctx.int8.pointer, [@ctx.int8.pointer, @ctx.int8.pointer, @ctx.int8.pointer, @ctx.int32]) end def make_func name, ret, args func_type = LOLVM::Types::Function.new(ret, args, false) @mod.add_function name, func_type end end context = LOLVM::Context.instance builder = context.create_builder ruby = MyRuby.new context mod = context.create_module 'anon mod' func_type = LOLVM::Types::Function.new(context.double, [], false) testing = mod.add_function "testing", LOLVM::Types::Function.new(context.int64, [context.int8.pointer], false) testing.param(0).name = "foo" bb = context.append_basic_block testing, "entry" x = mod.add_global context.int64, 'rb_cObject' x.linkage = LOLVM::Linkages::External builder.position_at_end_of bb builder.ret builder.load x, "obj" func = mod.add_function "__anon", func_type bb = context.append_basic_block func, "entry" builder.position_at_end_of bb str = builder.global_string "MyRuby", 'string' func_name = builder.global_string "testing", 'func_name' my_ruby = builder.call testing, [str], 'rb_str' builder.ret my_ruby ee = mod.execution_engine ee.add_module ruby.mod p :GOT => ee.run("__anon") Assembles machine code at run time using LLVM
131. Idea 1: Custom Instructions at Runtime
132. Data I acquired (crap data) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32
133. Build a Police Scanner
135. Software Defined Radio
137. FM Band
138. Narrow FM Digital Trunking signal Audio
139. Digital Signal Processing
140. Continuous / Discrete Very Discrete tenderlove
141. Discrete signals are just a list of points
142. Discrete Signal (crap data) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32
143. Convolution
144. Signal Convolution -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:54:01 2017-01-23 15:54:11 2017-01-23 15:54:21 2017-01-23 15:54:31 2017-01-23 15:54:42 2017-01-23 15:54:52 2017-01-23 15:55:02 2017-01-23 15:55:12 2017-01-23 15:55:22 2017-01-23 15:55:32 0 0.25 0.5 0.75 1 0 1 2 3 4 5 6 7 * =?
145. Formal Definition
146. X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H -0.5 0 0.5 1 3 2 1 0 Y -1.5 0 1.5 3 0 1 2 3 4 5 6 7 8 9 10 11
147. Convolution Code def convolve x, h Array.new(x.length + h.length - 1) do |i| h.map.with_index { |h_j, j| if i - j < 0 || i - j > x.length - 1 0 else h_j * x[i - j] end }.inject(:+) end end
148. Convolved Signal Length: x.length + h.length - 1
149. X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H -0.5 0 0.5 1 3 2 1 0 x + y[i] value
150. Low Pass Filters
151. Identity Signal X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H 0 0.25 0.5 0.75 1 0 1 2 3 * = Y -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 9 10 11
152. Amplifier X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H 0 0.5 1 1.5 2 0 1 2 3 * = Y -3 -1 1 3 0 2 4 6 8 10
153. Shift X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H 0 0.25 0.5 0.75 1 0 1 2 3 * = Y -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 9 10 11
154. Echo X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H 0 0.5 1 1.5 2 0 1 2 3 * = Y -3.75 -1.25 1.25 3.75 0 1 2 3 4 5 6 7 8 9 10 11
155. Average X -1.5 -0.5 0.5 1.5 0 1 2 3 4 5 6 7 8 H 0 0.25 0.5 0.75 1 0 1 2 3 * H 0 0.125 0.25 0.375 0.5 0 1 2 3 *
156. Radar
157. Radar Transmission 0 25 50 75 100 Reception -25 0 25 50 75 100
158. Does one signal contain the other?
159. received * transmitted Detection -10000 0 10000 20000 30000 40000
160. Gaussian Distribution
161. Self Convolution signal = 100.times.map { rand } 3.times do signal = convolve signal, signal end
162. Self Convolution Gaussian Distribution 0 75000000000 150000000000 225000000000 300000000000 Neat! tenderlove
163. Convolution Code def convolve x, h Array.new(x.length + h.length - 1) do |i| h.map.with_index { |h_j, j| if i - j < 0 || i - j > x.length - 1 0 else h_j * x[i - j] end }.inject(:+) end end
164. My Signal
165. R, the hard way
166. Arrays are 1 based > data <- c(4, 3, 2, 1) > data[0] numeric(0) > data[0] + 1 numeric(0) >
167. There must be an easier way! tenderlove
168. Data I acquired (crap data) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32
169. Implementing cons, car, and cdr in many languages (using only lambdas)
170. Why?
171. I like learning new languages
172. But I don’t have much time
173. Bare minimum to get endorsed on Linked In Do people still use Klout?
174. What are cons, car, and cdr?
175. cons forms a cell L R
176. car returns the left side L R
177. cdr returns the right side L R
178. Only Lambdas?
179. cons tenderlove.cons <- function(x, y) { function(m) { m(x, y) } } R Node cons = ->(x, y) { ->(m) { m.(x, y) } } Ruby var cons = function(x, y) { return function(m) { return m(x, y); }; }
180. car tenderlove.car <- function(z) { z(function(p, q) { p }) } R var car = function(z) { return z(function(p, q) { return p; }); } Node car = ->(z) { z.(->(p, q) { p }) } Ruby
181. Usage > tenderlove.cons(1, 2) function(m) { m(x, y) } <environment: 0x7f8c55961f80> > tenderlove.car function(z) { z(function(p, q) { p }) } > tenderlove.car(tenderlove.cons(1, 2)) [1] 1 >
182. cdr tenderlove.cdr <- function(z) { z(function(p, q) { q }) } R var cdr = function(z) { return z(function(p, q) { return q; }); } Node cdr = ->(z) { z.(->(p, q) { q }) } Ruby
183. Tree of Cells 1 2 3 NUL
184. each tenderlove.each <- function(func, lst) { if (!is.null(lst)) { element <- tenderlove.car(lst) func(element) tenderlove.each(func, tenderlove.cdr(lst)) } } R Node each = ->(func, list) { if list element = car.(list) func.(element) each.(func, cdr.(list)) end } Ruby var each = function(func, list) { if(list) { element = car(list); func(element); each(func, cdr(list)); } }
185. Usage var each = function(func, list) { if(list) { element = car(list); func(element); each(func, cdr(list)); } } each(console.log, cons(1, (cons(2, cons(3, null))))); [aaron@TC dsp (master)]$ node dsp.js 1 2 3 [aaron@TC dsp (master)]$
186. Don’t need loops
187. Don’t need arrays
188. Don’t need hashes
189. Numbers?
190. Numbers tenderlove.zero <- function(f) { function(x) { x } } tenderlove.one <- function(f) { function(x) { f(x) } } tenderlove.two <- function(f) { function(x) { f(f(x)) } } tenderlove.three <- function(f) { function(x) { f(f(f(x))) } } print(tenderlove.three(function(x) { x + 1 })(0)) => 3
191. Addition tenderlove.one <- function(f) { function(x) { f(x) } } tenderlove.add <- function(a, b) { function(f) { function(x) { a(f)(b(f)(x)) } } } tenderlove.two <- tenderlove.add(tenderlove.one, tenderlove.one) tenderlove.three <- tenderlove.add(tenderlove.one, tenderlove.two) print(tenderlove.three(function(x) { x + 1 })(0)) # => 3
192. Church Encoding
193. Don’t need Numbers
194. Don’t need Mathematics
195. Logic?
196. true / false / if True = ->(x, y) { x } False = ->(x, y) { y } If = ->(cond, t, f) { cond.(t, f) } If.(True, ->() { :true }, ->() { :false }).call # => :true If.(False, ->() { :true }, ->() { :false }).call # => :false
197. Don’t need booleans
198. Don’t need conditionals
199. My Signal (crap data) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32
200. cons / car / cdr / each tenderlove.cons <- function(x, y) { function(m) { m(x, y) } } tenderlove.car <- function(z) { z(function(p, q) { p }) } tenderlove.cdr <- function(z) { z(function(p, q) { q }) } tenderlove.each <- function(func, lst) { if (!is.null(lst)) { element <- tenderlove.car(lst) func(element) tenderlove.each(func, tenderlove.cdr(lst)) } } tenderlove.each_with_index <- function(func, lst) { idx <- 0 tenderlove.each(function(element) { func(idx, element) idx = idx + 1 }, lst) }
201. array indexing tenderlove.vec_at <- function(idx, lst) { if(idx == 0) { tenderlove.car(lst) } else { tenderlove.vec_at(idx - 1, tenderlove.cdr(lst)) } }
202. Converting Vectors to cons tenderlove.c2cons <- function(cs) { foldl <- function(proc, init, lst) { if(length(lst) == 0) { init } else { foldl(proc, proc(head(lst, 1), init), tail(lst, -1)) } } foldl(tenderlove.cons, NULL, rev(cs)) }
203. Convolution in R tenderlove.conv <- function(x, h) { x_list <- tenderlove.c2cons(x) h_list <- tenderlove.c2cons(h) indexes <- 0:(length(x) + length(h) - 1) sapply(indexes, function(i) { sum(tenderlove.cons2c(tenderlove.map_with_index(function(j, h_j) { if (i - j < 0 || i - j > length(x) - 1) { 0 } else { h_j * tenderlove.vec_at(i - j, x_list) } }, h_list))) }) }
204. Feed in test data > data <- c(0, -1, -1.2, 2, 1.5, 1.4, 0.5, 0, -0.5) > plot(data) > filter <- c(2, 0, 1) > plot(filter) > plot(tenderlove.conv(data, filter))
205. * = Nice. tenderlove
206. Input Real Data > plot(tenderlove.conv(unlist(dat$V2), c(1))) Error: evaluation nested too deeply: infinite recursion / options(expressions=)? I f#$@*ing hate R. tenderlove
207. Things I don’t have time for: Figuring out R.
208. My Signal (crap data) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32
209. Something I built
211. Bathroom Scale
212. msp430
213. Raspberry Pi + Motion Sensor
214. Litter Box
215. I made this Weight (g) -100 925 1950 2975 4000 Time 2017-01-23 15:53:51 2017-01-23 15:53:56 2017-01-23 15:54:01 2017-01-23 15:54:06 2017-01-23 15:54:11 2017-01-23 15:54:16 2017-01-23 15:54:21 2017-01-23 15:54:26 2017-01-23 15:54:31 2017-01-23 15:54:37 2017-01-23 15:54:42 2017-01-23 15:54:47 2017-01-23 15:54:52 2017-01-23 15:54:57 2017-01-23 15:55:02 2017-01-23 15:55:07 2017-01-23 15:55:12 2017-01-23 15:55:17 2017-01-23 15:55:22 2017-01-23 15:55:27 2017-01-23 15:55:32 Cat Enters Cat Leaves
216. ~100g
217. Wrap-Up
218. It’s hard to make shit scale I told you those graphs were crap