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7 changes: 5 additions & 2 deletions dictionaries/library_profile.txt
Original file line number Diff line number Diff line change
@@ -1,5 +1,8 @@
Ghz
sublista
lineno
filename
Czotter
Czotter
formatearse
profile
stats
vs
16 changes: 12 additions & 4 deletions library/profile.po
Original file line number Diff line number Diff line change
Expand Up @@ -11,15 +11,16 @@ msgstr ""
"Project-Id-Version: Python 3.8\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-03-19 11:16+0100\n"
"PO-Revision-Date: 2020-07-10 22:47-0500\n"
"Last-Translator: Juan Alegría <juanszalegria@gmail.com>\n"
"PO-Revision-Date: 2021-08-29 09:51+0800\n"
"Last-Translator: Rodrigo Tobar <rtobarc@gmail.com>\n"
"Language: es_CO\n"
"Language-Team: python-doc-es\n"
"Plural-Forms: nplurals=2; plural=(n != 1)\n"
"Plural-Forms: nplurals=2; plural=(n != 1);\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.8.0\n"
"X-Generator: Poedit 2.4.2\n"

#: ../Doc/library/profile.rst:5
msgid "The Python Profilers"
Expand Down Expand Up @@ -1012,12 +1013,19 @@ msgid ""
"instance holds information related to the function's profile such as how "
"long the function took to run, how many times it was called, etc..."
msgstr ""
"Este método retorna una instancia de StatsProfile, la cual contiene un mapeo "
"de nombres de función a instancias de FunctionProfile. Cada instancia de "
"FunctionProfile mantiene información relacionada al perfil de la función, "
"como cuánto demoró la función en ejecutarse, cuantas veces fue llamada, "
"etc..."

#: ../Doc/library/profile.rst:535
msgid ""
"Added the following dataclasses: StatsProfile, FunctionProfile. Added the "
"following function: get_stats_profile."
msgstr ""
"Añadidas las siguientes clases de datos: StatsProfile, FunctionProfile. "
"Añadida la siguiente función: get_stats_profile."

#: ../Doc/library/profile.rst:542
msgid "What Is Deterministic Profiling?"
Expand Down Expand Up @@ -1190,7 +1198,7 @@ msgstr ""
"directamente y nuevamente bajo el generador de perfiles, midiendo el tiempo "
"para ambas. Luego calcula la sobrecarga oculta por evento del generador de "
"perfiles y la retorna como flotante. Por ejemplo, en un Intel Core i5 de "
"1.8Ghz con Mac OS X y usando time.process_time() de Python como "
"1.8GHz con Mac OS X y usando time.process_time() de Python como "
"temporizador, el número mágico es aproximadamente 4.04e-6."

#: ../Doc/library/profile.rst:628
Expand Down