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// nopTrunc propagates From values of truncation instructions that have no
// effect on type (where From and To type are the same).
//
// Example:
//
// before:
//    %10 = xor i32 %src2, %src1
//    %11 = trunc i32 %10 to i32
//    %12 = xor i32 %sum, %11
//

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int main(int argc, char *argv[]);
void basic_1_if(__size32 param1);
void basic_2_if_else(__size32 param1);
void basic_3_if_elseif(int param1);
void basic_4_if_elseif_else(__size32 param1);
void basic_5_head_controlled_loop(__size32 param1);
void basic_6_tail_controlled_loop(__size32 param1);
void basic_7_for_loop();
void basic_8_forever_loop(__size32 param1);
void basic_9_dead_block();

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package main

import (
        "fmt"
        "log"
        "sort"
        "strconv"
        "strings"
        "unicode"
)

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diff -r -u llvm-7.0.0.src/lib/AsmParser/LLLexer.cpp llvm-8.0.0.src/lib/AsmParser/LLLexer.cpp
--- llvm-7.0.0.src/lib/AsmParser/LLLexer.cpp	2018-07-12 11:03:53.000000000 +0900
+++ llvm-8.0.0.src/lib/AsmParser/LLLexer.cpp	2018-11-29 06:14:32.000000000 +0900
@@ -592,6 +592,7 @@
   KEYWORD(arm_apcscc);
   KEYWORD(arm_aapcscc);
   KEYWORD(arm_aapcs_vfpcc);
+  KEYWORD(aarch64_vector_pcs);
   KEYWORD(msp430_intrcc);
   KEYWORD(avr_intrcc);

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// Based on https://github.com/llir/grammar/blob/6cb09c87c6e434310b41d3c5b2b3d59c94f986c4/ll.bnf

// ### [ Lexical part ] ########################################################

_ascii_letter_upper
	: 'A' - 'Z'
;

_ascii_letter_lower
	: 'a' - 'z'

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--- py_sort.txt	2018-12-31 03:00:59.745223854 +0100
+++ ll_sort.txt	2018-12-31 03:00:50.435164462 +0100
@@ -3,15 +3,22 @@
 add
 addrspace
 addrspacecast
+afn
 alias
+aliasee
 align

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#include <iostream>
using std::cout;
using std::endl;

// Typedef for the function pointer
typedef void (*_PVFV)(void);

// Our various functions/classes that are going to log the application startup/exit
struct TestClass
{

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1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

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diff --git a/asm/global.go b/asm/global.go
index 5a1f04c..fc73db6 100644
--- a/asm/global.go
+++ b/asm/global.go
@@ -2,6 +2,7 @@ package asm
 
 import (
 	"fmt"
+	"sync"
 

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How to extract a single file with its history from a git repository

These steps show two less common interactions with git to extract a single file which is inside a subfolder from a git repository. These steps essentially reduce the repository to just the desired files and should performed on a copy of the original repository (1.).

First the repository is reduced to just the subfolder containing the files in question using git filter-branch --subdirectory-filter (2.) which is a useful step by itself if just a subfolder needs to be extracted. This step moves the desired files to the top level of the repository.

Finally all remaining files are listed using git ls, the files to keep are removed from that using grep -v and the resulting list is passed to git rm which is invoked by git filter-branch --index-filter (3.). A bit convoluted but it does the trick.

1. copy the repository to extract the file from and go to the desired branch