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File 0615-Grammatical-spelling-fixups-for-the-efficiency-guide.patch of Package erlang (Revision 8cb5d5fde1cca12e0e8bdc4c50dbf291)

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From 98ec607e887181e0ed57b85921a2d10f3ffb7a69 Mon Sep 17 00:00:00 2001
From: Bryan Paxton <bryan@starbelly.io>
Date: Sat, 19 Jun 2021 14:03:39 -0500
Subject: [PATCH 2/2] Grammatical / spelling fixups for the efficiency guide
 profiling section

---
 system/doc/efficiency_guide/profiling.xml | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/system/doc/efficiency_guide/profiling.xml b/system/doc/efficiency_guide/profiling.xml
index 594d066df4..847949cd2a 100644
--- a/system/doc/efficiency_guide/profiling.xml
+++ b/system/doc/efficiency_guide/profiling.xml
@@ -47,7 +47,7 @@
 
 <item><seeerl marker="tools:eprof"><c>eprof</c></seeerl> provides
 time information of each function used in the program. No call graph is
- produced, but <c>eprof</c> has considerable less impact on the program it
+ produced, but <c>eprof</c> has considerably less impact on the program it
 profiles.
 If the program is too large to be profiled by <c>fprof</c> or
 <c>eprof</c>, <c>cprof</c> can be used to locate code parts that
@@ -96,14 +96,14 @@
 use. When this happens a crash dump is generated that contains information
 about the state of the system as it ran out of memory. Use the
 <seecom marker="observer:cdv"><c>crashdump_viewer</c></seecom> to get a
- view of the memory is being used. Look for processes with large heaps or
+ view of the memory being used. Look for processes with large heaps or
 many messages, large ets tables, etc.
 When looking at memory usage in a running system the most basic function
 to get information from is <seemfa marker="erts:erlang#memory/0"><c>
 erlang:memory()</c></seemfa>. It returns the current memory usage
 of the system. <seeerl marker="tools:instrument"><c>instrument(3)</c></seeerl>
 can be used to get a more detailed breakdown of where memory is used.
- Processes, ports and ets tables can then be inspecting using their
+ Processes, ports and ets tables can then be inspected using their
 respective info functions, i.e.
 <seeerl marker="erts:erlang#process_info_memory"><c>erlang:process_info/2
 </c></seeerl>,
@@ -118,7 +118,7 @@
 how memory is allocated can be retrieved using
 <seeerl marker="erts:erlang#system_info_allocator">
 <c>erlang:system_info(allocator)</c></seeerl>.
- The data you get from that function is very raw and not very plesant to read.
+ The data you get from that function is very raw and not very pleasant to read.
 <url href="http://ferd.github.io/recon/recon_alloc.html">recon_alloc</url>
 can be used to extract useful information from system_info
 statistics counters.
@@ -135,7 +135,7 @@
 
 For a large system, you do not want to run the profiling
 tools on the whole system. Instead you want to concentrate on
- central processes and modules, which contribute for a big part
+ central processes and modules, which account for a big part
 of the execution.
 
 There are also some tools that can be used to get a view of the
@@ -209,7 +209,7 @@
 <c>eprof</c> is based on the Erlang <c>trace_info</c> BIFs.
 <c>eprof</c> shows how much time has been used by each process,
 and in which function calls this time has been spent. Time is
- shown as percentage of total time and absolute time. For more
+ shown as a percentage of total time and absolute time. For more
 information, see the <seeerl marker="tools:eprof">eprof</seeerl>
 manual page in Tools.
 </section>
@@ -290,7 +290,7 @@
 
 <section>
 <title>lcnt</title>
- <c>lcnt</c> is used to profile interactions inbetween
+ <c>lcnt</c> is used to profile interactions in between
 entities that run in parallel. For example if you have
 a process that all other processes in the system needs
 to interact with (maybe it has some global configuration),
@@ -314,7 +314,7 @@
 implementation of a given algorithm or function is the fastest.
 Benchmarking is far from an exact science. Today's operating systems
 generally run background tasks that are difficult to turn off.
- Caches and multiple CPU cores does not facilitate benchmarking.
+ Caches and multiple CPU cores do not facilitate benchmarking.
 It would be best to run UNIX computers in single-user mode when
 benchmarking, but that is inconvenient to say the least for casual
 testing.
-- 
2.31.1

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