{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "authorship_tag": "ABX9TyPWt3PCifZdD4ecac8aiEZN", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "source": [ "# ESTRATEGIAS DE TRADING CON PYTHON\n", "## Librería TA-Lib: Technical Analysis Library\n", "Utilizaremos la librería TA-Lib" ], "metadata": { "id": "N0hzyGXjj4YE" } }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ZSv1tCTRjzdY", "outputId": "449e54fc-0bae-4411-aeea-2d3abdd7cb1a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " % Total % Received % Xferd Average Speed Time Time Time Current\n", " Dload Upload Total Spent Left Speed\n", "100 380 100 380 0 0 2248 0 --:--:-- --:--:-- --:--:-- 2235\n", "100 355 100 355 0 0 1075 0 --:--:-- --:--:-- --:--:-- 1075\n", "100 1299k 100 1299k 0 0 1199k 0 0:00:01 0:00:01 --:--:-- 1199k\n", "ta-lib/\n", "ta-lib/config.sub\n", "ta-lib/aclocal.m4\n", "ta-lib/CHANGELOG.TXT\n", "ta-lib/include/\n", "ta-lib/include/ta_abstract.h\n", "ta-lib/include/ta_func.h\n", "ta-lib/include/ta_common.h\n", "ta-lib/include/ta_config.h.in\n", "ta-lib/include/Makefile.am\n", "ta-lib/include/ta_libc.h\n", "ta-lib/include/ta_defs.h\n", "ta-lib/missing\n", "ta-lib/ta-lib.spec.in\n", "ta-lib/config.guess\n", "ta-lib/Makefile.in\n", "ta-lib/ta-lib.dpkg.in\n", "ta-lib/Makefile.am\n", "ta-lib/autogen.sh\n", "ta-lib/install-sh\n", "ta-lib/configure\n", "ta-lib/depcomp\n", "ta-lib/HISTORY.TXT\n", "ta-lib/configure.in\n", "ta-lib/autom4te.cache/\n", "ta-lib/autom4te.cache/output.0\n", "ta-lib/autom4te.cache/requests\n", "ta-lib/autom4te.cache/output.1\n", "ta-lib/autom4te.cache/traces.0\n", "ta-lib/autom4te.cache/traces.1\n", 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strcasecmp... yes\n", "checking for strchr... yes\n", "checking for strerror... yes\n", "checking for strncasecmp... yes\n", "checking for strrchr... yes\n", "checking for strstr... yes\n", "checking for strtol... yes\n", "checking for strtoul... yes\n", "configure: creating ./config.status\n", "config.status: creating Makefile\n", "config.status: creating src/Makefile\n", "config.status: creating src/ta_abstract/Makefile\n", "config.status: creating src/ta_common/Makefile\n", "config.status: creating src/ta_func/Makefile\n", "config.status: creating src/tools/Makefile\n", "config.status: creating src/tools/gen_code/Makefile\n", "config.status: creating src/tools/ta_regtest/Makefile\n", "config.status: creating ta-lib-config\n", "config.status: creating ta-lib.spec\n", "config.status: creating ta-lib.dpkg\n", "config.status: creating include/ta_config.h\n", "config.status: executing depfiles commands\n", "Making all in src\n", "make[1]: Entering directory '/content/ta-lib/src'\n", "Making all in ta_abstract\n", "make[2]: Entering directory '/content/ta-lib/src/ta_abstract'\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_group_idx.lo -MD -MP -MF .deps/libta_abstract_la-ta_group_idx.Tpo -c -o libta_abstract_la-ta_group_idx.lo `test -f 'ta_group_idx.c' || echo './'`ta_group_idx.c\n", "mkdir .libs\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_group_idx.lo -MD -MP -MF .deps/libta_abstract_la-ta_group_idx.Tpo -c ta_group_idx.c -fPIC -DPIC -o .libs/libta_abstract_la-ta_group_idx.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_group_idx.lo -MD -MP -MF .deps/libta_abstract_la-ta_group_idx.Tpo -c ta_group_idx.c -o libta_abstract_la-ta_group_idx.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-ta_group_idx.Tpo .deps/libta_abstract_la-ta_group_idx.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_def_ui.lo -MD -MP -MF .deps/libta_abstract_la-ta_def_ui.Tpo -c -o libta_abstract_la-ta_def_ui.lo `test -f 'ta_def_ui.c' || echo './'`ta_def_ui.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_def_ui.lo -MD -MP -MF .deps/libta_abstract_la-ta_def_ui.Tpo -c ta_def_ui.c -fPIC -DPIC -o .libs/libta_abstract_la-ta_def_ui.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_def_ui.lo -MD -MP -MF .deps/libta_abstract_la-ta_def_ui.Tpo -c ta_def_ui.c -o libta_abstract_la-ta_def_ui.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-ta_def_ui.Tpo .deps/libta_abstract_la-ta_def_ui.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_abstract.lo -MD -MP -MF .deps/libta_abstract_la-ta_abstract.Tpo -c -o libta_abstract_la-ta_abstract.lo `test -f 'ta_abstract.c' || echo './'`ta_abstract.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_abstract.lo -MD -MP -MF .deps/libta_abstract_la-ta_abstract.Tpo -c ta_abstract.c -fPIC -DPIC -o .libs/libta_abstract_la-ta_abstract.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_abstract.lo -MD -MP -MF .deps/libta_abstract_la-ta_abstract.Tpo -c ta_abstract.c -o libta_abstract_la-ta_abstract.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-ta_abstract.Tpo .deps/libta_abstract_la-ta_abstract.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_func_api.lo -MD -MP -MF .deps/libta_abstract_la-ta_func_api.Tpo -c -o libta_abstract_la-ta_func_api.lo `test -f 'ta_func_api.c' || echo './'`ta_func_api.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_func_api.lo -MD -MP -MF .deps/libta_abstract_la-ta_func_api.Tpo -c ta_func_api.c -fPIC -DPIC -o .libs/libta_abstract_la-ta_func_api.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_func_api.lo -MD -MP -MF .deps/libta_abstract_la-ta_func_api.Tpo -c ta_func_api.c -o libta_abstract_la-ta_func_api.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-ta_func_api.Tpo .deps/libta_abstract_la-ta_func_api.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_frame.lo -MD -MP -MF .deps/libta_abstract_la-ta_frame.Tpo -c -o libta_abstract_la-ta_frame.lo `test -f 'frames/ta_frame.c' || echo './'`frames/ta_frame.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_frame.lo -MD -MP -MF .deps/libta_abstract_la-ta_frame.Tpo -c frames/ta_frame.c -fPIC -DPIC -o .libs/libta_abstract_la-ta_frame.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-ta_frame.lo -MD -MP -MF .deps/libta_abstract_la-ta_frame.Tpo -c frames/ta_frame.c -o libta_abstract_la-ta_frame.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-ta_frame.Tpo .deps/libta_abstract_la-ta_frame.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_a.lo -MD -MP -MF .deps/libta_abstract_la-table_a.Tpo -c -o libta_abstract_la-table_a.lo `test -f 'tables/table_a.c' || echo './'`tables/table_a.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_a.lo -MD -MP -MF .deps/libta_abstract_la-table_a.Tpo -c tables/table_a.c -fPIC -DPIC -o .libs/libta_abstract_la-table_a.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_a.lo -MD -MP -MF .deps/libta_abstract_la-table_a.Tpo -c tables/table_a.c -o libta_abstract_la-table_a.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_a.Tpo .deps/libta_abstract_la-table_a.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_b.lo -MD -MP -MF .deps/libta_abstract_la-table_b.Tpo -c -o libta_abstract_la-table_b.lo `test -f 'tables/table_b.c' || echo './'`tables/table_b.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_b.lo -MD -MP -MF .deps/libta_abstract_la-table_b.Tpo -c tables/table_b.c -fPIC -DPIC -o .libs/libta_abstract_la-table_b.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_b.lo -MD -MP -MF .deps/libta_abstract_la-table_b.Tpo -c tables/table_b.c -o libta_abstract_la-table_b.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_b.Tpo .deps/libta_abstract_la-table_b.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_c.lo -MD -MP -MF .deps/libta_abstract_la-table_c.Tpo -c -o libta_abstract_la-table_c.lo `test -f 'tables/table_c.c' || echo './'`tables/table_c.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_c.lo -MD -MP -MF .deps/libta_abstract_la-table_c.Tpo -c tables/table_c.c -fPIC -DPIC -o .libs/libta_abstract_la-table_c.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_c.lo -MD -MP -MF .deps/libta_abstract_la-table_c.Tpo -c tables/table_c.c -o libta_abstract_la-table_c.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_c.Tpo .deps/libta_abstract_la-table_c.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_d.lo -MD -MP -MF .deps/libta_abstract_la-table_d.Tpo -c -o libta_abstract_la-table_d.lo `test -f 'tables/table_d.c' || echo './'`tables/table_d.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_d.lo -MD -MP -MF .deps/libta_abstract_la-table_d.Tpo -c tables/table_d.c -fPIC -DPIC -o .libs/libta_abstract_la-table_d.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_d.lo -MD -MP -MF .deps/libta_abstract_la-table_d.Tpo -c tables/table_d.c -o libta_abstract_la-table_d.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_d.Tpo .deps/libta_abstract_la-table_d.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_e.lo -MD -MP -MF .deps/libta_abstract_la-table_e.Tpo -c -o libta_abstract_la-table_e.lo `test -f 'tables/table_e.c' || echo './'`tables/table_e.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_e.lo -MD -MP -MF .deps/libta_abstract_la-table_e.Tpo -c tables/table_e.c -fPIC -DPIC -o .libs/libta_abstract_la-table_e.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_e.lo -MD -MP -MF .deps/libta_abstract_la-table_e.Tpo -c tables/table_e.c -o libta_abstract_la-table_e.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_e.Tpo .deps/libta_abstract_la-table_e.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_f.lo -MD -MP -MF .deps/libta_abstract_la-table_f.Tpo -c -o libta_abstract_la-table_f.lo `test -f 'tables/table_f.c' || echo './'`tables/table_f.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_f.lo -MD -MP -MF .deps/libta_abstract_la-table_f.Tpo -c tables/table_f.c -fPIC -DPIC -o .libs/libta_abstract_la-table_f.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_f.lo -MD -MP -MF .deps/libta_abstract_la-table_f.Tpo -c tables/table_f.c -o libta_abstract_la-table_f.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_f.Tpo .deps/libta_abstract_la-table_f.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_g.lo -MD -MP -MF .deps/libta_abstract_la-table_g.Tpo -c -o libta_abstract_la-table_g.lo `test -f 'tables/table_g.c' || echo './'`tables/table_g.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_g.lo -MD -MP -MF .deps/libta_abstract_la-table_g.Tpo -c tables/table_g.c -fPIC -DPIC -o .libs/libta_abstract_la-table_g.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_g.lo -MD -MP -MF .deps/libta_abstract_la-table_g.Tpo -c tables/table_g.c -o libta_abstract_la-table_g.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_g.Tpo .deps/libta_abstract_la-table_g.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_h.lo -MD -MP -MF .deps/libta_abstract_la-table_h.Tpo -c -o libta_abstract_la-table_h.lo `test -f 'tables/table_h.c' || echo './'`tables/table_h.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_h.lo -MD -MP -MF .deps/libta_abstract_la-table_h.Tpo -c tables/table_h.c -fPIC -DPIC -o .libs/libta_abstract_la-table_h.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_h.lo -MD -MP -MF .deps/libta_abstract_la-table_h.Tpo -c tables/table_h.c -o libta_abstract_la-table_h.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_h.Tpo .deps/libta_abstract_la-table_h.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_i.lo -MD -MP -MF .deps/libta_abstract_la-table_i.Tpo -c -o libta_abstract_la-table_i.lo `test -f 'tables/table_i.c' || echo './'`tables/table_i.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_i.lo -MD -MP -MF .deps/libta_abstract_la-table_i.Tpo -c tables/table_i.c -fPIC -DPIC -o .libs/libta_abstract_la-table_i.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_i.lo -MD -MP -MF .deps/libta_abstract_la-table_i.Tpo -c tables/table_i.c -o libta_abstract_la-table_i.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_i.Tpo .deps/libta_abstract_la-table_i.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_j.lo -MD -MP -MF .deps/libta_abstract_la-table_j.Tpo -c -o libta_abstract_la-table_j.lo `test -f 'tables/table_j.c' || echo './'`tables/table_j.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_j.lo -MD -MP -MF .deps/libta_abstract_la-table_j.Tpo -c tables/table_j.c -fPIC -DPIC -o .libs/libta_abstract_la-table_j.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_j.lo -MD -MP -MF .deps/libta_abstract_la-table_j.Tpo -c tables/table_j.c -o libta_abstract_la-table_j.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_j.Tpo .deps/libta_abstract_la-table_j.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_k.lo -MD -MP -MF .deps/libta_abstract_la-table_k.Tpo -c -o libta_abstract_la-table_k.lo `test -f 'tables/table_k.c' || echo './'`tables/table_k.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_k.lo -MD -MP -MF .deps/libta_abstract_la-table_k.Tpo -c tables/table_k.c -fPIC -DPIC -o .libs/libta_abstract_la-table_k.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_k.lo -MD -MP -MF .deps/libta_abstract_la-table_k.Tpo -c tables/table_k.c -o libta_abstract_la-table_k.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_k.Tpo .deps/libta_abstract_la-table_k.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_l.lo -MD -MP -MF .deps/libta_abstract_la-table_l.Tpo -c -o libta_abstract_la-table_l.lo `test -f 'tables/table_l.c' || echo './'`tables/table_l.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_l.lo -MD -MP -MF .deps/libta_abstract_la-table_l.Tpo -c tables/table_l.c -fPIC -DPIC -o .libs/libta_abstract_la-table_l.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_l.lo -MD -MP -MF .deps/libta_abstract_la-table_l.Tpo -c tables/table_l.c -o libta_abstract_la-table_l.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_l.Tpo .deps/libta_abstract_la-table_l.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_m.lo -MD -MP -MF .deps/libta_abstract_la-table_m.Tpo -c -o libta_abstract_la-table_m.lo `test -f 'tables/table_m.c' || echo './'`tables/table_m.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_m.lo -MD -MP -MF .deps/libta_abstract_la-table_m.Tpo -c tables/table_m.c -fPIC -DPIC -o .libs/libta_abstract_la-table_m.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_m.lo -MD -MP -MF .deps/libta_abstract_la-table_m.Tpo -c tables/table_m.c -o libta_abstract_la-table_m.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_m.Tpo .deps/libta_abstract_la-table_m.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_n.lo -MD -MP -MF .deps/libta_abstract_la-table_n.Tpo -c -o libta_abstract_la-table_n.lo `test -f 'tables/table_n.c' || echo './'`tables/table_n.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_n.lo -MD -MP -MF .deps/libta_abstract_la-table_n.Tpo -c tables/table_n.c -fPIC -DPIC -o .libs/libta_abstract_la-table_n.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_n.lo -MD -MP -MF .deps/libta_abstract_la-table_n.Tpo -c tables/table_n.c -o libta_abstract_la-table_n.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_n.Tpo .deps/libta_abstract_la-table_n.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_o.lo -MD -MP -MF .deps/libta_abstract_la-table_o.Tpo -c -o libta_abstract_la-table_o.lo `test -f 'tables/table_o.c' || echo './'`tables/table_o.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_o.lo -MD -MP -MF .deps/libta_abstract_la-table_o.Tpo -c tables/table_o.c -fPIC -DPIC -o .libs/libta_abstract_la-table_o.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_o.lo -MD -MP -MF .deps/libta_abstract_la-table_o.Tpo -c tables/table_o.c -o libta_abstract_la-table_o.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_o.Tpo .deps/libta_abstract_la-table_o.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_p.lo -MD -MP -MF .deps/libta_abstract_la-table_p.Tpo -c -o libta_abstract_la-table_p.lo `test -f 'tables/table_p.c' || echo './'`tables/table_p.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_p.lo -MD -MP -MF .deps/libta_abstract_la-table_p.Tpo -c tables/table_p.c -fPIC -DPIC -o .libs/libta_abstract_la-table_p.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_p.lo -MD -MP -MF .deps/libta_abstract_la-table_p.Tpo -c tables/table_p.c -o libta_abstract_la-table_p.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_p.Tpo .deps/libta_abstract_la-table_p.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_q.lo -MD -MP -MF .deps/libta_abstract_la-table_q.Tpo -c -o libta_abstract_la-table_q.lo `test -f 'tables/table_q.c' || echo './'`tables/table_q.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_q.lo -MD -MP -MF .deps/libta_abstract_la-table_q.Tpo -c tables/table_q.c -fPIC -DPIC -o .libs/libta_abstract_la-table_q.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_q.lo -MD -MP -MF .deps/libta_abstract_la-table_q.Tpo -c tables/table_q.c -o libta_abstract_la-table_q.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_q.Tpo .deps/libta_abstract_la-table_q.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_r.lo -MD -MP -MF .deps/libta_abstract_la-table_r.Tpo -c -o libta_abstract_la-table_r.lo `test -f 'tables/table_r.c' || echo './'`tables/table_r.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_r.lo -MD -MP -MF .deps/libta_abstract_la-table_r.Tpo -c tables/table_r.c -fPIC -DPIC -o .libs/libta_abstract_la-table_r.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_r.lo -MD -MP -MF .deps/libta_abstract_la-table_r.Tpo -c tables/table_r.c -o libta_abstract_la-table_r.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_r.Tpo .deps/libta_abstract_la-table_r.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_s.lo -MD -MP -MF .deps/libta_abstract_la-table_s.Tpo -c -o libta_abstract_la-table_s.lo `test -f 'tables/table_s.c' || echo './'`tables/table_s.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_s.lo -MD -MP -MF .deps/libta_abstract_la-table_s.Tpo -c tables/table_s.c -fPIC -DPIC -o .libs/libta_abstract_la-table_s.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_s.lo -MD -MP -MF .deps/libta_abstract_la-table_s.Tpo -c tables/table_s.c -o libta_abstract_la-table_s.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_s.Tpo .deps/libta_abstract_la-table_s.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_t.lo -MD -MP -MF .deps/libta_abstract_la-table_t.Tpo -c -o libta_abstract_la-table_t.lo `test -f 'tables/table_t.c' || echo './'`tables/table_t.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_t.lo -MD -MP -MF .deps/libta_abstract_la-table_t.Tpo -c tables/table_t.c -fPIC -DPIC -o .libs/libta_abstract_la-table_t.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_t.lo -MD -MP -MF .deps/libta_abstract_la-table_t.Tpo -c tables/table_t.c -o libta_abstract_la-table_t.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_t.Tpo .deps/libta_abstract_la-table_t.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_u.lo -MD -MP -MF .deps/libta_abstract_la-table_u.Tpo -c -o libta_abstract_la-table_u.lo `test -f 'tables/table_u.c' || echo './'`tables/table_u.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_u.lo -MD -MP -MF .deps/libta_abstract_la-table_u.Tpo -c tables/table_u.c -fPIC -DPIC -o .libs/libta_abstract_la-table_u.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_u.lo -MD -MP -MF .deps/libta_abstract_la-table_u.Tpo -c tables/table_u.c -o libta_abstract_la-table_u.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_u.Tpo .deps/libta_abstract_la-table_u.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_v.lo -MD -MP -MF .deps/libta_abstract_la-table_v.Tpo -c -o libta_abstract_la-table_v.lo `test -f 'tables/table_v.c' || echo './'`tables/table_v.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_v.lo -MD -MP -MF .deps/libta_abstract_la-table_v.Tpo -c tables/table_v.c -fPIC -DPIC -o .libs/libta_abstract_la-table_v.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_v.lo -MD -MP -MF .deps/libta_abstract_la-table_v.Tpo -c tables/table_v.c -o libta_abstract_la-table_v.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_v.Tpo .deps/libta_abstract_la-table_v.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_w.lo -MD -MP -MF .deps/libta_abstract_la-table_w.Tpo -c -o libta_abstract_la-table_w.lo `test -f 'tables/table_w.c' || echo './'`tables/table_w.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_w.lo -MD -MP -MF .deps/libta_abstract_la-table_w.Tpo -c tables/table_w.c -fPIC -DPIC -o .libs/libta_abstract_la-table_w.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_w.lo -MD -MP -MF .deps/libta_abstract_la-table_w.Tpo -c tables/table_w.c -o libta_abstract_la-table_w.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_w.Tpo .deps/libta_abstract_la-table_w.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_x.lo -MD -MP -MF .deps/libta_abstract_la-table_x.Tpo -c -o libta_abstract_la-table_x.lo `test -f 'tables/table_x.c' || echo './'`tables/table_x.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_x.lo -MD -MP -MF .deps/libta_abstract_la-table_x.Tpo -c tables/table_x.c -fPIC -DPIC -o .libs/libta_abstract_la-table_x.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_x.lo -MD -MP -MF .deps/libta_abstract_la-table_x.Tpo -c tables/table_x.c -o libta_abstract_la-table_x.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_x.Tpo .deps/libta_abstract_la-table_x.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_y.lo -MD -MP -MF .deps/libta_abstract_la-table_y.Tpo -c -o libta_abstract_la-table_y.lo `test -f 'tables/table_y.c' || echo './'`tables/table_y.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_y.lo -MD -MP -MF .deps/libta_abstract_la-table_y.Tpo -c tables/table_y.c -fPIC -DPIC -o .libs/libta_abstract_la-table_y.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_y.lo -MD -MP -MF .deps/libta_abstract_la-table_y.Tpo -c tables/table_y.c -o libta_abstract_la-table_y.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_y.Tpo .deps/libta_abstract_la-table_y.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_z.lo -MD -MP -MF .deps/libta_abstract_la-table_z.Tpo -c -o libta_abstract_la-table_z.lo `test -f 'tables/table_z.c' || echo './'`tables/table_z.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_z.lo -MD -MP -MF .deps/libta_abstract_la-table_z.Tpo -c tables/table_z.c -fPIC -DPIC -o .libs/libta_abstract_la-table_z.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_la-table_z.lo -MD -MP -MF .deps/libta_abstract_la-table_z.Tpo -c tables/table_z.c -o libta_abstract_la-table_z.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_la-table_z.Tpo .deps/libta_abstract_la-table_z.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=link gcc -g -O2 -version-info 0:0:0 -o libta_abstract.la libta_abstract_la-ta_group_idx.lo libta_abstract_la-ta_def_ui.lo libta_abstract_la-ta_abstract.lo libta_abstract_la-ta_func_api.lo libta_abstract_la-ta_frame.lo libta_abstract_la-table_a.lo libta_abstract_la-table_b.lo libta_abstract_la-table_c.lo libta_abstract_la-table_d.lo libta_abstract_la-table_e.lo libta_abstract_la-table_f.lo libta_abstract_la-table_g.lo libta_abstract_la-table_h.lo libta_abstract_la-table_i.lo libta_abstract_la-table_j.lo libta_abstract_la-table_k.lo libta_abstract_la-table_l.lo libta_abstract_la-table_m.lo libta_abstract_la-table_n.lo libta_abstract_la-table_o.lo libta_abstract_la-table_p.lo libta_abstract_la-table_q.lo libta_abstract_la-table_r.lo libta_abstract_la-table_s.lo libta_abstract_la-table_t.lo libta_abstract_la-table_u.lo libta_abstract_la-table_v.lo libta_abstract_la-table_w.lo libta_abstract_la-table_x.lo libta_abstract_la-table_y.lo libta_abstract_la-table_z.lo -lpthread -ldl \n", "libtool: link: warning: `-version-info/-version-number' is ignored for convenience libraries\n", "ar cru .libs/libta_abstract.a .libs/libta_abstract_la-ta_group_idx.o .libs/libta_abstract_la-ta_def_ui.o .libs/libta_abstract_la-ta_abstract.o .libs/libta_abstract_la-ta_func_api.o .libs/libta_abstract_la-ta_frame.o .libs/libta_abstract_la-table_a.o .libs/libta_abstract_la-table_b.o .libs/libta_abstract_la-table_c.o .libs/libta_abstract_la-table_d.o .libs/libta_abstract_la-table_e.o .libs/libta_abstract_la-table_f.o .libs/libta_abstract_la-table_g.o .libs/libta_abstract_la-table_h.o .libs/libta_abstract_la-table_i.o .libs/libta_abstract_la-table_j.o .libs/libta_abstract_la-table_k.o .libs/libta_abstract_la-table_l.o .libs/libta_abstract_la-table_m.o .libs/libta_abstract_la-table_n.o .libs/libta_abstract_la-table_o.o .libs/libta_abstract_la-table_p.o .libs/libta_abstract_la-table_q.o .libs/libta_abstract_la-table_r.o .libs/libta_abstract_la-table_s.o .libs/libta_abstract_la-table_t.o .libs/libta_abstract_la-table_u.o .libs/libta_abstract_la-table_v.o .libs/libta_abstract_la-table_w.o .libs/libta_abstract_la-table_x.o .libs/libta_abstract_la-table_y.o .libs/libta_abstract_la-table_z.o\n", "ar: `u' modifier ignored since `D' is the default (see `U')\n", "ranlib .libs/libta_abstract.a\n", "creating libta_abstract.la\n", "(cd .libs && rm -f libta_abstract.la && ln -s ../libta_abstract.la libta_abstract.la)\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_group_idx.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_group_idx.Tpo -c -o libta_abstract_gc_la-ta_group_idx.lo `test -f 'ta_group_idx.c' || echo './'`ta_group_idx.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_group_idx.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_group_idx.Tpo -c ta_group_idx.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-ta_group_idx.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_group_idx.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_group_idx.Tpo -c ta_group_idx.c -o libta_abstract_gc_la-ta_group_idx.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-ta_group_idx.Tpo .deps/libta_abstract_gc_la-ta_group_idx.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_def_ui.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_def_ui.Tpo -c -o libta_abstract_gc_la-ta_def_ui.lo `test -f 'ta_def_ui.c' || echo './'`ta_def_ui.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_def_ui.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_def_ui.Tpo -c ta_def_ui.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-ta_def_ui.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_def_ui.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_def_ui.Tpo -c ta_def_ui.c -o libta_abstract_gc_la-ta_def_ui.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-ta_def_ui.Tpo .deps/libta_abstract_gc_la-ta_def_ui.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_abstract.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_abstract.Tpo -c -o libta_abstract_gc_la-ta_abstract.lo `test -f 'ta_abstract.c' || echo './'`ta_abstract.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_abstract.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_abstract.Tpo -c ta_abstract.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-ta_abstract.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_abstract.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_abstract.Tpo -c ta_abstract.c -o libta_abstract_gc_la-ta_abstract.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-ta_abstract.Tpo .deps/libta_abstract_gc_la-ta_abstract.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_func_api.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_func_api.Tpo -c -o libta_abstract_gc_la-ta_func_api.lo `test -f 'ta_func_api.c' || echo './'`ta_func_api.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_func_api.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_func_api.Tpo -c ta_func_api.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-ta_func_api.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_func_api.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_func_api.Tpo -c ta_func_api.c -o libta_abstract_gc_la-ta_func_api.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-ta_func_api.Tpo .deps/libta_abstract_gc_la-ta_func_api.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_frame.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_frame.Tpo -c -o libta_abstract_gc_la-ta_frame.lo `test -f 'frames/ta_frame.c' || echo './'`frames/ta_frame.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_frame.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_frame.Tpo -c frames/ta_frame.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-ta_frame.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-ta_frame.lo -MD -MP -MF .deps/libta_abstract_gc_la-ta_frame.Tpo -c frames/ta_frame.c -o libta_abstract_gc_la-ta_frame.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-ta_frame.Tpo .deps/libta_abstract_gc_la-ta_frame.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_a.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_a.Tpo -c -o libta_abstract_gc_la-table_a.lo `test -f 'tables/table_a.c' || echo './'`tables/table_a.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_a.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_a.Tpo -c tables/table_a.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_a.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_a.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_a.Tpo -c tables/table_a.c -o libta_abstract_gc_la-table_a.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_a.Tpo .deps/libta_abstract_gc_la-table_a.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_b.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_b.Tpo -c -o libta_abstract_gc_la-table_b.lo `test -f 'tables/table_b.c' || echo './'`tables/table_b.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_b.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_b.Tpo -c tables/table_b.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_b.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_b.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_b.Tpo -c tables/table_b.c -o libta_abstract_gc_la-table_b.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_b.Tpo .deps/libta_abstract_gc_la-table_b.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_c.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_c.Tpo -c -o libta_abstract_gc_la-table_c.lo `test -f 'tables/table_c.c' || echo './'`tables/table_c.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_c.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_c.Tpo -c tables/table_c.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_c.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_c.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_c.Tpo -c tables/table_c.c -o libta_abstract_gc_la-table_c.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_c.Tpo .deps/libta_abstract_gc_la-table_c.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_d.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_d.Tpo -c -o libta_abstract_gc_la-table_d.lo `test -f 'tables/table_d.c' || echo './'`tables/table_d.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_d.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_d.Tpo -c tables/table_d.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_d.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_d.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_d.Tpo -c tables/table_d.c -o libta_abstract_gc_la-table_d.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_d.Tpo .deps/libta_abstract_gc_la-table_d.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_e.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_e.Tpo -c -o libta_abstract_gc_la-table_e.lo `test -f 'tables/table_e.c' || echo './'`tables/table_e.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_e.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_e.Tpo -c tables/table_e.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_e.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_e.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_e.Tpo -c tables/table_e.c -o libta_abstract_gc_la-table_e.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_e.Tpo .deps/libta_abstract_gc_la-table_e.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_f.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_f.Tpo -c -o libta_abstract_gc_la-table_f.lo `test -f 'tables/table_f.c' || echo './'`tables/table_f.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_f.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_f.Tpo -c tables/table_f.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_f.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_f.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_f.Tpo -c tables/table_f.c -o libta_abstract_gc_la-table_f.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_f.Tpo .deps/libta_abstract_gc_la-table_f.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_g.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_g.Tpo -c -o libta_abstract_gc_la-table_g.lo `test -f 'tables/table_g.c' || echo './'`tables/table_g.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_g.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_g.Tpo -c tables/table_g.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_g.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_g.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_g.Tpo -c tables/table_g.c -o libta_abstract_gc_la-table_g.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_g.Tpo .deps/libta_abstract_gc_la-table_g.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_h.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_h.Tpo -c -o libta_abstract_gc_la-table_h.lo `test -f 'tables/table_h.c' || echo './'`tables/table_h.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_h.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_h.Tpo -c tables/table_h.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_h.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_h.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_h.Tpo -c tables/table_h.c -o libta_abstract_gc_la-table_h.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_h.Tpo .deps/libta_abstract_gc_la-table_h.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_i.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_i.Tpo -c -o libta_abstract_gc_la-table_i.lo `test -f 'tables/table_i.c' || echo './'`tables/table_i.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_i.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_i.Tpo -c tables/table_i.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_i.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_i.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_i.Tpo -c tables/table_i.c -o libta_abstract_gc_la-table_i.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_i.Tpo .deps/libta_abstract_gc_la-table_i.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_j.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_j.Tpo -c -o libta_abstract_gc_la-table_j.lo `test -f 'tables/table_j.c' || echo './'`tables/table_j.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_j.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_j.Tpo -c tables/table_j.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_j.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_j.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_j.Tpo -c tables/table_j.c -o libta_abstract_gc_la-table_j.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_j.Tpo .deps/libta_abstract_gc_la-table_j.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_k.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_k.Tpo -c -o libta_abstract_gc_la-table_k.lo `test -f 'tables/table_k.c' || echo './'`tables/table_k.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_k.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_k.Tpo -c tables/table_k.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_k.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_k.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_k.Tpo -c tables/table_k.c -o libta_abstract_gc_la-table_k.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_k.Tpo .deps/libta_abstract_gc_la-table_k.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_l.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_l.Tpo -c -o libta_abstract_gc_la-table_l.lo `test -f 'tables/table_l.c' || echo './'`tables/table_l.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_l.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_l.Tpo -c tables/table_l.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_l.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_l.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_l.Tpo -c tables/table_l.c -o libta_abstract_gc_la-table_l.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_l.Tpo .deps/libta_abstract_gc_la-table_l.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_m.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_m.Tpo -c -o libta_abstract_gc_la-table_m.lo `test -f 'tables/table_m.c' || echo './'`tables/table_m.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_m.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_m.Tpo -c tables/table_m.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_m.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_m.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_m.Tpo -c tables/table_m.c -o libta_abstract_gc_la-table_m.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_m.Tpo .deps/libta_abstract_gc_la-table_m.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_n.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_n.Tpo -c -o libta_abstract_gc_la-table_n.lo `test -f 'tables/table_n.c' || echo './'`tables/table_n.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_n.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_n.Tpo -c tables/table_n.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_n.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_n.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_n.Tpo -c tables/table_n.c -o libta_abstract_gc_la-table_n.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_n.Tpo .deps/libta_abstract_gc_la-table_n.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_o.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_o.Tpo -c -o libta_abstract_gc_la-table_o.lo `test -f 'tables/table_o.c' || echo './'`tables/table_o.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_o.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_o.Tpo -c tables/table_o.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_o.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_o.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_o.Tpo -c tables/table_o.c -o libta_abstract_gc_la-table_o.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_o.Tpo .deps/libta_abstract_gc_la-table_o.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_p.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_p.Tpo -c -o libta_abstract_gc_la-table_p.lo `test -f 'tables/table_p.c' || echo './'`tables/table_p.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_p.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_p.Tpo -c tables/table_p.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_p.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_p.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_p.Tpo -c tables/table_p.c -o libta_abstract_gc_la-table_p.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_p.Tpo .deps/libta_abstract_gc_la-table_p.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_q.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_q.Tpo -c -o libta_abstract_gc_la-table_q.lo `test -f 'tables/table_q.c' || echo './'`tables/table_q.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_q.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_q.Tpo -c tables/table_q.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_q.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_q.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_q.Tpo -c tables/table_q.c -o libta_abstract_gc_la-table_q.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_q.Tpo .deps/libta_abstract_gc_la-table_q.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_r.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_r.Tpo -c -o libta_abstract_gc_la-table_r.lo `test -f 'tables/table_r.c' || echo './'`tables/table_r.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_r.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_r.Tpo -c tables/table_r.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_r.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_r.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_r.Tpo -c tables/table_r.c -o libta_abstract_gc_la-table_r.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_r.Tpo .deps/libta_abstract_gc_la-table_r.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_s.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_s.Tpo -c -o libta_abstract_gc_la-table_s.lo `test -f 'tables/table_s.c' || echo './'`tables/table_s.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_s.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_s.Tpo -c tables/table_s.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_s.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_s.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_s.Tpo -c tables/table_s.c -o libta_abstract_gc_la-table_s.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_s.Tpo .deps/libta_abstract_gc_la-table_s.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_t.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_t.Tpo -c -o libta_abstract_gc_la-table_t.lo `test -f 'tables/table_t.c' || echo './'`tables/table_t.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_t.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_t.Tpo -c tables/table_t.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_t.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_t.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_t.Tpo -c tables/table_t.c -o libta_abstract_gc_la-table_t.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_t.Tpo .deps/libta_abstract_gc_la-table_t.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_u.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_u.Tpo -c -o libta_abstract_gc_la-table_u.lo `test -f 'tables/table_u.c' || echo './'`tables/table_u.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_u.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_u.Tpo -c tables/table_u.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_u.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_u.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_u.Tpo -c tables/table_u.c -o libta_abstract_gc_la-table_u.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_u.Tpo .deps/libta_abstract_gc_la-table_u.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_v.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_v.Tpo -c -o libta_abstract_gc_la-table_v.lo `test -f 'tables/table_v.c' || echo './'`tables/table_v.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_v.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_v.Tpo -c tables/table_v.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_v.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_v.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_v.Tpo -c tables/table_v.c -o libta_abstract_gc_la-table_v.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_v.Tpo .deps/libta_abstract_gc_la-table_v.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_w.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_w.Tpo -c -o libta_abstract_gc_la-table_w.lo `test -f 'tables/table_w.c' || echo './'`tables/table_w.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_w.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_w.Tpo -c tables/table_w.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_w.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_w.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_w.Tpo -c tables/table_w.c -o libta_abstract_gc_la-table_w.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_w.Tpo .deps/libta_abstract_gc_la-table_w.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_x.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_x.Tpo -c -o libta_abstract_gc_la-table_x.lo `test -f 'tables/table_x.c' || echo './'`tables/table_x.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_x.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_x.Tpo -c tables/table_x.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_x.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_x.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_x.Tpo -c tables/table_x.c -o libta_abstract_gc_la-table_x.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_x.Tpo .deps/libta_abstract_gc_la-table_x.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_y.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_y.Tpo -c -o libta_abstract_gc_la-table_y.lo `test -f 'tables/table_y.c' || echo './'`tables/table_y.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_y.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_y.Tpo -c tables/table_y.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_y.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_y.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_y.Tpo -c tables/table_y.c -o libta_abstract_gc_la-table_y.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_y.Tpo .deps/libta_abstract_gc_la-table_y.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_z.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_z.Tpo -c -o libta_abstract_gc_la-table_z.lo `test -f 'tables/table_z.c' || echo './'`tables/table_z.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_z.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_z.Tpo -c tables/table_z.c -fPIC -DPIC -o .libs/libta_abstract_gc_la-table_z.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -DTA_GEN_CODE -I../ta_common/ -Iframes/ -g -O2 -MT libta_abstract_gc_la-table_z.lo -MD -MP -MF .deps/libta_abstract_gc_la-table_z.Tpo -c tables/table_z.c -o libta_abstract_gc_la-table_z.o >/dev/null 2>&1\n", "mv -f .deps/libta_abstract_gc_la-table_z.Tpo .deps/libta_abstract_gc_la-table_z.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=link gcc -g -O2 -version-info 0:0:0 -o libta_abstract_gc.la libta_abstract_gc_la-ta_group_idx.lo libta_abstract_gc_la-ta_def_ui.lo libta_abstract_gc_la-ta_abstract.lo libta_abstract_gc_la-ta_func_api.lo libta_abstract_gc_la-ta_frame.lo libta_abstract_gc_la-table_a.lo libta_abstract_gc_la-table_b.lo libta_abstract_gc_la-table_c.lo libta_abstract_gc_la-table_d.lo libta_abstract_gc_la-table_e.lo libta_abstract_gc_la-table_f.lo libta_abstract_gc_la-table_g.lo libta_abstract_gc_la-table_h.lo libta_abstract_gc_la-table_i.lo libta_abstract_gc_la-table_j.lo libta_abstract_gc_la-table_k.lo libta_abstract_gc_la-table_l.lo libta_abstract_gc_la-table_m.lo libta_abstract_gc_la-table_n.lo libta_abstract_gc_la-table_o.lo libta_abstract_gc_la-table_p.lo libta_abstract_gc_la-table_q.lo libta_abstract_gc_la-table_r.lo libta_abstract_gc_la-table_s.lo libta_abstract_gc_la-table_t.lo libta_abstract_gc_la-table_u.lo libta_abstract_gc_la-table_v.lo libta_abstract_gc_la-table_w.lo libta_abstract_gc_la-table_x.lo libta_abstract_gc_la-table_y.lo libta_abstract_gc_la-table_z.lo -lpthread -ldl \n", "libtool: link: warning: `-version-info/-version-number' is ignored for convenience libraries\n", "ar cru .libs/libta_abstract_gc.a .libs/libta_abstract_gc_la-ta_group_idx.o .libs/libta_abstract_gc_la-ta_def_ui.o .libs/libta_abstract_gc_la-ta_abstract.o .libs/libta_abstract_gc_la-ta_func_api.o .libs/libta_abstract_gc_la-ta_frame.o .libs/libta_abstract_gc_la-table_a.o .libs/libta_abstract_gc_la-table_b.o .libs/libta_abstract_gc_la-table_c.o .libs/libta_abstract_gc_la-table_d.o .libs/libta_abstract_gc_la-table_e.o .libs/libta_abstract_gc_la-table_f.o .libs/libta_abstract_gc_la-table_g.o .libs/libta_abstract_gc_la-table_h.o .libs/libta_abstract_gc_la-table_i.o .libs/libta_abstract_gc_la-table_j.o .libs/libta_abstract_gc_la-table_k.o .libs/libta_abstract_gc_la-table_l.o .libs/libta_abstract_gc_la-table_m.o .libs/libta_abstract_gc_la-table_n.o .libs/libta_abstract_gc_la-table_o.o .libs/libta_abstract_gc_la-table_p.o .libs/libta_abstract_gc_la-table_q.o .libs/libta_abstract_gc_la-table_r.o .libs/libta_abstract_gc_la-table_s.o .libs/libta_abstract_gc_la-table_t.o .libs/libta_abstract_gc_la-table_u.o .libs/libta_abstract_gc_la-table_v.o .libs/libta_abstract_gc_la-table_w.o .libs/libta_abstract_gc_la-table_x.o .libs/libta_abstract_gc_la-table_y.o .libs/libta_abstract_gc_la-table_z.o\n", "ar: `u' modifier ignored since `D' is the default (see `U')\n", "ranlib .libs/libta_abstract_gc.a\n", "creating libta_abstract_gc.la\n", "(cd .libs && rm -f libta_abstract_gc.la && ln -s ../libta_abstract_gc.la libta_abstract_gc.la)\n", "make[2]: Leaving directory '/content/ta-lib/src/ta_abstract'\n", "Making all in ta_common\n", "make[2]: Entering directory '/content/ta-lib/src/ta_common'\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_global.lo -MD -MP -MF .deps/ta_global.Tpo -c -o ta_global.lo ta_global.c\n", "mkdir .libs\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_global.lo -MD -MP -MF .deps/ta_global.Tpo -c ta_global.c -fPIC -DPIC -o .libs/ta_global.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_global.lo -MD -MP -MF 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-MP -MF .deps/ta_version.Tpo -c ta_version.c -fPIC -DPIC -o .libs/ta_version.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_version.lo -MD -MP -MF .deps/ta_version.Tpo -c ta_version.c -o ta_version.o >/dev/null 2>&1\n", "mv -f .deps/ta_version.Tpo .deps/ta_version.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=link gcc -g -O2 -version-info 0:0:0 -o libta_common.la ta_global.lo ta_retcode.lo ta_version.lo -lpthread -ldl \n", "libtool: link: warning: `-version-info/-version-number' is ignored for convenience libraries\n", "ar cru .libs/libta_common.a .libs/ta_global.o .libs/ta_retcode.o .libs/ta_version.o\n", "ar: `u' modifier ignored since `D' is the default (see `U')\n", "ranlib .libs/libta_common.a\n", "creating libta_common.la\n", "(cd .libs && rm -f libta_common.la && ln -s ../libta_common.la libta_common.la)\n", "make[2]: Leaving directory '/content/ta-lib/src/ta_common'\n", "Making all in ta_func\n", "make[2]: Entering directory '/content/ta-lib/src/ta_func'\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_utility.lo -MD -MP -MF .deps/ta_utility.Tpo -c -o ta_utility.lo ta_utility.c\n", "mkdir .libs\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_utility.lo -MD -MP -MF .deps/ta_utility.Tpo -c ta_utility.c -fPIC -DPIC -o .libs/ta_utility.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_utility.lo -MD -MP -MF .deps/ta_utility.Tpo -c ta_utility.c -o ta_utility.o >/dev/null 2>&1\n", "mv -f .deps/ta_utility.Tpo .deps/ta_utility.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ACOS.lo -MD -MP -MF .deps/ta_ACOS.Tpo -c -o ta_ACOS.lo ta_ACOS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ACOS.lo -MD -MP -MF .deps/ta_ACOS.Tpo -c ta_ACOS.c -fPIC -DPIC -o .libs/ta_ACOS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ACOS.lo -MD -MP -MF .deps/ta_ACOS.Tpo -c ta_ACOS.c -o ta_ACOS.o >/dev/null 2>&1\n", "mv -f .deps/ta_ACOS.Tpo .deps/ta_ACOS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AD.lo -MD -MP -MF .deps/ta_AD.Tpo -c -o ta_AD.lo ta_AD.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AD.lo -MD -MP -MF .deps/ta_AD.Tpo -c ta_AD.c -fPIC -DPIC -o .libs/ta_AD.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AD.lo -MD -MP -MF .deps/ta_AD.Tpo -c ta_AD.c -o ta_AD.o >/dev/null 2>&1\n", "mv -f .deps/ta_AD.Tpo .deps/ta_AD.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADD.lo -MD -MP -MF .deps/ta_ADD.Tpo -c -o ta_ADD.lo ta_ADD.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADD.lo -MD -MP -MF .deps/ta_ADD.Tpo -c ta_ADD.c -fPIC -DPIC -o .libs/ta_ADD.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADD.lo -MD -MP -MF .deps/ta_ADD.Tpo -c ta_ADD.c -o ta_ADD.o >/dev/null 2>&1\n", "mv -f .deps/ta_ADD.Tpo .deps/ta_ADD.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADOSC.lo -MD -MP -MF .deps/ta_ADOSC.Tpo -c -o ta_ADOSC.lo ta_ADOSC.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADOSC.lo -MD -MP -MF .deps/ta_ADOSC.Tpo -c ta_ADOSC.c -fPIC -DPIC -o .libs/ta_ADOSC.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADOSC.lo -MD -MP -MF .deps/ta_ADOSC.Tpo -c ta_ADOSC.c -o ta_ADOSC.o >/dev/null 2>&1\n", "mv -f .deps/ta_ADOSC.Tpo .deps/ta_ADOSC.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADX.lo -MD -MP -MF .deps/ta_ADX.Tpo -c -o ta_ADX.lo ta_ADX.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADX.lo -MD -MP -MF .deps/ta_ADX.Tpo -c ta_ADX.c -fPIC -DPIC -o .libs/ta_ADX.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADX.lo -MD -MP -MF .deps/ta_ADX.Tpo -c ta_ADX.c -o ta_ADX.o >/dev/null 2>&1\n", "mv -f .deps/ta_ADX.Tpo .deps/ta_ADX.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADXR.lo -MD -MP -MF .deps/ta_ADXR.Tpo -c -o ta_ADXR.lo ta_ADXR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADXR.lo -MD -MP -MF .deps/ta_ADXR.Tpo -c ta_ADXR.c -fPIC -DPIC -o .libs/ta_ADXR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ADXR.lo -MD -MP -MF .deps/ta_ADXR.Tpo -c ta_ADXR.c -o ta_ADXR.o >/dev/null 2>&1\n", "mv -f .deps/ta_ADXR.Tpo .deps/ta_ADXR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_APO.lo -MD -MP -MF .deps/ta_APO.Tpo -c -o ta_APO.lo ta_APO.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_APO.lo -MD -MP -MF .deps/ta_APO.Tpo -c ta_APO.c -fPIC -DPIC -o .libs/ta_APO.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_APO.lo -MD -MP -MF .deps/ta_APO.Tpo -c ta_APO.c -o ta_APO.o >/dev/null 2>&1\n", "mv -f .deps/ta_APO.Tpo .deps/ta_APO.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AROON.lo -MD -MP -MF .deps/ta_AROON.Tpo -c -o ta_AROON.lo ta_AROON.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AROON.lo -MD -MP -MF .deps/ta_AROON.Tpo -c ta_AROON.c -fPIC -DPIC -o .libs/ta_AROON.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AROON.lo -MD -MP -MF .deps/ta_AROON.Tpo -c ta_AROON.c -o ta_AROON.o >/dev/null 2>&1\n", "mv -f .deps/ta_AROON.Tpo .deps/ta_AROON.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AROONOSC.lo -MD -MP -MF .deps/ta_AROONOSC.Tpo -c -o ta_AROONOSC.lo ta_AROONOSC.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AROONOSC.lo -MD -MP -MF .deps/ta_AROONOSC.Tpo -c ta_AROONOSC.c -fPIC -DPIC -o .libs/ta_AROONOSC.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AROONOSC.lo -MD -MP -MF .deps/ta_AROONOSC.Tpo -c ta_AROONOSC.c -o ta_AROONOSC.o >/dev/null 2>&1\n", "mv -f .deps/ta_AROONOSC.Tpo .deps/ta_AROONOSC.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ASIN.lo -MD -MP -MF .deps/ta_ASIN.Tpo -c -o ta_ASIN.lo ta_ASIN.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ASIN.lo -MD -MP -MF .deps/ta_ASIN.Tpo -c ta_ASIN.c -fPIC -DPIC -o .libs/ta_ASIN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ASIN.lo -MD -MP -MF .deps/ta_ASIN.Tpo -c ta_ASIN.c -o ta_ASIN.o >/dev/null 2>&1\n", "mv -f .deps/ta_ASIN.Tpo .deps/ta_ASIN.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ATAN.lo -MD -MP -MF .deps/ta_ATAN.Tpo -c -o ta_ATAN.lo ta_ATAN.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ATAN.lo -MD -MP -MF .deps/ta_ATAN.Tpo -c ta_ATAN.c -fPIC -DPIC -o .libs/ta_ATAN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ATAN.lo -MD -MP -MF .deps/ta_ATAN.Tpo -c ta_ATAN.c -o ta_ATAN.o >/dev/null 2>&1\n", "mv -f .deps/ta_ATAN.Tpo .deps/ta_ATAN.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ATR.lo -MD -MP -MF .deps/ta_ATR.Tpo -c -o ta_ATR.lo ta_ATR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ATR.lo -MD -MP -MF .deps/ta_ATR.Tpo -c ta_ATR.c -fPIC -DPIC -o .libs/ta_ATR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ATR.lo -MD -MP -MF .deps/ta_ATR.Tpo -c ta_ATR.c -o ta_ATR.o >/dev/null 2>&1\n", "mv -f .deps/ta_ATR.Tpo .deps/ta_ATR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AVGPRICE.lo -MD -MP -MF .deps/ta_AVGPRICE.Tpo -c -o ta_AVGPRICE.lo ta_AVGPRICE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AVGPRICE.lo -MD -MP -MF .deps/ta_AVGPRICE.Tpo -c ta_AVGPRICE.c -fPIC -DPIC -o .libs/ta_AVGPRICE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_AVGPRICE.lo -MD -MP -MF .deps/ta_AVGPRICE.Tpo -c ta_AVGPRICE.c -o ta_AVGPRICE.o >/dev/null 2>&1\n", "mv -f .deps/ta_AVGPRICE.Tpo .deps/ta_AVGPRICE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BBANDS.lo -MD -MP -MF .deps/ta_BBANDS.Tpo -c -o ta_BBANDS.lo ta_BBANDS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BBANDS.lo -MD -MP -MF .deps/ta_BBANDS.Tpo -c ta_BBANDS.c -fPIC -DPIC -o .libs/ta_BBANDS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BBANDS.lo -MD -MP -MF .deps/ta_BBANDS.Tpo -c ta_BBANDS.c -o ta_BBANDS.o >/dev/null 2>&1\n", "mv -f .deps/ta_BBANDS.Tpo .deps/ta_BBANDS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BETA.lo -MD -MP -MF .deps/ta_BETA.Tpo -c -o ta_BETA.lo ta_BETA.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BETA.lo -MD -MP -MF .deps/ta_BETA.Tpo -c ta_BETA.c -fPIC -DPIC -o .libs/ta_BETA.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BETA.lo -MD -MP -MF .deps/ta_BETA.Tpo -c ta_BETA.c -o ta_BETA.o >/dev/null 2>&1\n", "mv -f .deps/ta_BETA.Tpo .deps/ta_BETA.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BOP.lo -MD -MP -MF .deps/ta_BOP.Tpo -c -o ta_BOP.lo ta_BOP.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BOP.lo -MD -MP -MF .deps/ta_BOP.Tpo -c ta_BOP.c -fPIC -DPIC -o .libs/ta_BOP.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_BOP.lo -MD -MP -MF .deps/ta_BOP.Tpo -c ta_BOP.c -o ta_BOP.o >/dev/null 2>&1\n", "mv -f .deps/ta_BOP.Tpo .deps/ta_BOP.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CCI.lo -MD -MP -MF .deps/ta_CCI.Tpo -c -o ta_CCI.lo ta_CCI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CCI.lo -MD -MP -MF .deps/ta_CCI.Tpo -c ta_CCI.c -fPIC -DPIC -o .libs/ta_CCI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CCI.lo -MD -MP -MF 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-I../ta_common/ -g -O2 -MT ta_CDL3BLACKCROWS.lo -MD -MP -MF .deps/ta_CDL3BLACKCROWS.Tpo -c ta_CDL3BLACKCROWS.c -fPIC -DPIC -o .libs/ta_CDL3BLACKCROWS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3BLACKCROWS.lo -MD -MP -MF .deps/ta_CDL3BLACKCROWS.Tpo -c ta_CDL3BLACKCROWS.c -o ta_CDL3BLACKCROWS.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDL3BLACKCROWS.Tpo .deps/ta_CDL3BLACKCROWS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3INSIDE.lo -MD -MP -MF .deps/ta_CDL3INSIDE.Tpo -c -o ta_CDL3INSIDE.lo ta_CDL3INSIDE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3INSIDE.lo -MD -MP -MF .deps/ta_CDL3INSIDE.Tpo -c ta_CDL3INSIDE.c -fPIC -DPIC -o .libs/ta_CDL3INSIDE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3INSIDE.lo -MD -MP -MF .deps/ta_CDL3INSIDE.Tpo -c ta_CDL3INSIDE.c -o ta_CDL3INSIDE.o >/dev/null 2>&1\n", "mv -f 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-I../ta_common/ -g -O2 -MT ta_CDL3OUTSIDE.lo -MD -MP -MF .deps/ta_CDL3OUTSIDE.Tpo -c ta_CDL3OUTSIDE.c -fPIC -DPIC -o .libs/ta_CDL3OUTSIDE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3OUTSIDE.lo -MD -MP -MF .deps/ta_CDL3OUTSIDE.Tpo -c ta_CDL3OUTSIDE.c -o ta_CDL3OUTSIDE.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDL3OUTSIDE.Tpo .deps/ta_CDL3OUTSIDE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3STARSINSOUTH.lo -MD -MP -MF .deps/ta_CDL3STARSINSOUTH.Tpo -c -o ta_CDL3STARSINSOUTH.lo ta_CDL3STARSINSOUTH.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3STARSINSOUTH.lo -MD -MP -MF .deps/ta_CDL3STARSINSOUTH.Tpo -c ta_CDL3STARSINSOUTH.c -fPIC -DPIC -o .libs/ta_CDL3STARSINSOUTH.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3STARSINSOUTH.lo -MD -MP -MF .deps/ta_CDL3STARSINSOUTH.Tpo -c ta_CDL3STARSINSOUTH.c -o ta_CDL3STARSINSOUTH.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDL3STARSINSOUTH.Tpo .deps/ta_CDL3STARSINSOUTH.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3WHITESOLDIERS.lo -MD -MP -MF .deps/ta_CDL3WHITESOLDIERS.Tpo -c -o ta_CDL3WHITESOLDIERS.lo ta_CDL3WHITESOLDIERS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3WHITESOLDIERS.lo -MD -MP -MF .deps/ta_CDL3WHITESOLDIERS.Tpo -c ta_CDL3WHITESOLDIERS.c -fPIC -DPIC -o .libs/ta_CDL3WHITESOLDIERS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDL3WHITESOLDIERS.lo -MD -MP -MF .deps/ta_CDL3WHITESOLDIERS.Tpo -c ta_CDL3WHITESOLDIERS.c -o ta_CDL3WHITESOLDIERS.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDL3WHITESOLDIERS.Tpo .deps/ta_CDL3WHITESOLDIERS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLABANDONEDBABY.lo -MD -MP -MF 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" gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLADVANCEBLOCK.lo -MD -MP -MF .deps/ta_CDLADVANCEBLOCK.Tpo -c ta_CDLADVANCEBLOCK.c -o ta_CDLADVANCEBLOCK.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLADVANCEBLOCK.Tpo .deps/ta_CDLADVANCEBLOCK.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLBELTHOLD.lo -MD -MP -MF .deps/ta_CDLBELTHOLD.Tpo -c -o ta_CDLBELTHOLD.lo ta_CDLBELTHOLD.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLBELTHOLD.lo -MD -MP -MF .deps/ta_CDLBELTHOLD.Tpo -c ta_CDLBELTHOLD.c -fPIC -DPIC -o .libs/ta_CDLBELTHOLD.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLBELTHOLD.lo -MD -MP -MF .deps/ta_CDLBELTHOLD.Tpo -c ta_CDLBELTHOLD.c -o ta_CDLBELTHOLD.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLBELTHOLD.Tpo .deps/ta_CDLBELTHOLD.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLBREAKAWAY.lo -MD -MP -MF .deps/ta_CDLBREAKAWAY.Tpo -c -o ta_CDLBREAKAWAY.lo ta_CDLBREAKAWAY.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLBREAKAWAY.lo -MD -MP -MF .deps/ta_CDLBREAKAWAY.Tpo -c ta_CDLBREAKAWAY.c -fPIC -DPIC -o .libs/ta_CDLBREAKAWAY.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLBREAKAWAY.lo -MD -MP -MF .deps/ta_CDLBREAKAWAY.Tpo -c ta_CDLBREAKAWAY.c -o ta_CDLBREAKAWAY.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLBREAKAWAY.Tpo .deps/ta_CDLBREAKAWAY.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCLOSINGMARUBOZU.lo -MD -MP -MF .deps/ta_CDLCLOSINGMARUBOZU.Tpo -c -o ta_CDLCLOSINGMARUBOZU.lo ta_CDLCLOSINGMARUBOZU.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCLOSINGMARUBOZU.lo -MD -MP -MF .deps/ta_CDLCLOSINGMARUBOZU.Tpo -c ta_CDLCLOSINGMARUBOZU.c -fPIC -DPIC -o .libs/ta_CDLCLOSINGMARUBOZU.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCLOSINGMARUBOZU.lo -MD -MP -MF .deps/ta_CDLCLOSINGMARUBOZU.Tpo -c ta_CDLCLOSINGMARUBOZU.c -o ta_CDLCLOSINGMARUBOZU.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLCLOSINGMARUBOZU.Tpo .deps/ta_CDLCLOSINGMARUBOZU.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCONCEALBABYSWALL.lo -MD -MP -MF .deps/ta_CDLCONCEALBABYSWALL.Tpo -c -o ta_CDLCONCEALBABYSWALL.lo ta_CDLCONCEALBABYSWALL.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCONCEALBABYSWALL.lo -MD -MP -MF .deps/ta_CDLCONCEALBABYSWALL.Tpo -c ta_CDLCONCEALBABYSWALL.c -fPIC -DPIC -o .libs/ta_CDLCONCEALBABYSWALL.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCONCEALBABYSWALL.lo -MD -MP -MF .deps/ta_CDLCONCEALBABYSWALL.Tpo -c ta_CDLCONCEALBABYSWALL.c -o ta_CDLCONCEALBABYSWALL.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLCONCEALBABYSWALL.Tpo .deps/ta_CDLCONCEALBABYSWALL.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCOUNTERATTACK.lo -MD -MP -MF .deps/ta_CDLCOUNTERATTACK.Tpo -c -o ta_CDLCOUNTERATTACK.lo ta_CDLCOUNTERATTACK.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCOUNTERATTACK.lo -MD -MP -MF .deps/ta_CDLCOUNTERATTACK.Tpo -c ta_CDLCOUNTERATTACK.c -fPIC -DPIC -o .libs/ta_CDLCOUNTERATTACK.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLCOUNTERATTACK.lo -MD -MP -MF .deps/ta_CDLCOUNTERATTACK.Tpo -c ta_CDLCOUNTERATTACK.c -o ta_CDLCOUNTERATTACK.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLCOUNTERATTACK.Tpo .deps/ta_CDLCOUNTERATTACK.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDARKCLOUDCOVER.lo -MD -MP -MF .deps/ta_CDLDARKCLOUDCOVER.Tpo -c -o ta_CDLDARKCLOUDCOVER.lo ta_CDLDARKCLOUDCOVER.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDARKCLOUDCOVER.lo -MD -MP -MF .deps/ta_CDLDARKCLOUDCOVER.Tpo -c ta_CDLDARKCLOUDCOVER.c -fPIC -DPIC -o .libs/ta_CDLDARKCLOUDCOVER.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDARKCLOUDCOVER.lo -MD -MP -MF .deps/ta_CDLDARKCLOUDCOVER.Tpo -c ta_CDLDARKCLOUDCOVER.c -o ta_CDLDARKCLOUDCOVER.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLDARKCLOUDCOVER.Tpo .deps/ta_CDLDARKCLOUDCOVER.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDOJI.lo -MD -MP -MF .deps/ta_CDLDOJI.Tpo -c -o ta_CDLDOJI.lo ta_CDLDOJI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDOJI.lo -MD -MP -MF .deps/ta_CDLDOJI.Tpo -c ta_CDLDOJI.c -fPIC -DPIC -o .libs/ta_CDLDOJI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDOJI.lo -MD -MP -MF .deps/ta_CDLDOJI.Tpo -c ta_CDLDOJI.c -o ta_CDLDOJI.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLDOJI.Tpo .deps/ta_CDLDOJI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDOJISTAR.lo -MD -MP -MF .deps/ta_CDLDOJISTAR.Tpo -c -o ta_CDLDOJISTAR.lo ta_CDLDOJISTAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDOJISTAR.lo -MD -MP -MF .deps/ta_CDLDOJISTAR.Tpo -c ta_CDLDOJISTAR.c -fPIC -DPIC -o .libs/ta_CDLDOJISTAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDOJISTAR.lo -MD -MP -MF .deps/ta_CDLDOJISTAR.Tpo -c ta_CDLDOJISTAR.c -o ta_CDLDOJISTAR.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLDOJISTAR.Tpo .deps/ta_CDLDOJISTAR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDRAGONFLYDOJI.lo -MD -MP -MF .deps/ta_CDLDRAGONFLYDOJI.Tpo -c -o ta_CDLDRAGONFLYDOJI.lo ta_CDLDRAGONFLYDOJI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDRAGONFLYDOJI.lo -MD -MP -MF .deps/ta_CDLDRAGONFLYDOJI.Tpo -c ta_CDLDRAGONFLYDOJI.c -fPIC -DPIC -o .libs/ta_CDLDRAGONFLYDOJI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLDRAGONFLYDOJI.lo -MD -MP -MF .deps/ta_CDLDRAGONFLYDOJI.Tpo -c ta_CDLDRAGONFLYDOJI.c -o ta_CDLDRAGONFLYDOJI.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLDRAGONFLYDOJI.Tpo .deps/ta_CDLDRAGONFLYDOJI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLENGULFING.lo -MD -MP -MF .deps/ta_CDLENGULFING.Tpo -c -o ta_CDLENGULFING.lo ta_CDLENGULFING.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLENGULFING.lo -MD -MP -MF .deps/ta_CDLENGULFING.Tpo -c ta_CDLENGULFING.c -fPIC -DPIC -o .libs/ta_CDLENGULFING.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLENGULFING.lo -MD -MP -MF .deps/ta_CDLENGULFING.Tpo -c ta_CDLENGULFING.c -o ta_CDLENGULFING.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLENGULFING.Tpo .deps/ta_CDLENGULFING.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLEVENINGDOJISTAR.lo -MD -MP -MF .deps/ta_CDLEVENINGDOJISTAR.Tpo -c -o ta_CDLEVENINGDOJISTAR.lo ta_CDLEVENINGDOJISTAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLEVENINGDOJISTAR.lo -MD -MP -MF .deps/ta_CDLEVENINGDOJISTAR.Tpo -c ta_CDLEVENINGDOJISTAR.c -fPIC -DPIC -o .libs/ta_CDLEVENINGDOJISTAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLEVENINGDOJISTAR.lo -MD -MP -MF .deps/ta_CDLEVENINGDOJISTAR.Tpo -c ta_CDLEVENINGDOJISTAR.c -o ta_CDLEVENINGDOJISTAR.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLEVENINGDOJISTAR.Tpo .deps/ta_CDLEVENINGDOJISTAR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLEVENINGSTAR.lo -MD -MP -MF .deps/ta_CDLEVENINGSTAR.Tpo -c -o ta_CDLEVENINGSTAR.lo ta_CDLEVENINGSTAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLEVENINGSTAR.lo -MD -MP -MF .deps/ta_CDLEVENINGSTAR.Tpo -c ta_CDLEVENINGSTAR.c -fPIC -DPIC -o .libs/ta_CDLEVENINGSTAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLEVENINGSTAR.lo -MD -MP -MF .deps/ta_CDLEVENINGSTAR.Tpo -c ta_CDLEVENINGSTAR.c -o ta_CDLEVENINGSTAR.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLEVENINGSTAR.Tpo .deps/ta_CDLEVENINGSTAR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLGAPSIDESIDEWHITE.lo -MD -MP -MF .deps/ta_CDLGAPSIDESIDEWHITE.Tpo -c -o ta_CDLGAPSIDESIDEWHITE.lo ta_CDLGAPSIDESIDEWHITE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLGAPSIDESIDEWHITE.lo -MD -MP -MF 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ta_CDLGRAVESTONEDOJI.c -o ta_CDLGRAVESTONEDOJI.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLGRAVESTONEDOJI.Tpo .deps/ta_CDLGRAVESTONEDOJI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHAMMER.lo -MD -MP -MF .deps/ta_CDLHAMMER.Tpo -c -o ta_CDLHAMMER.lo ta_CDLHAMMER.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHAMMER.lo -MD -MP -MF .deps/ta_CDLHAMMER.Tpo -c ta_CDLHAMMER.c -fPIC -DPIC -o .libs/ta_CDLHAMMER.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHAMMER.lo -MD -MP -MF .deps/ta_CDLHAMMER.Tpo -c ta_CDLHAMMER.c -o ta_CDLHAMMER.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLHAMMER.Tpo .deps/ta_CDLHAMMER.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHANGINGMAN.lo -MD -MP -MF .deps/ta_CDLHANGINGMAN.Tpo -c -o ta_CDLHANGINGMAN.lo ta_CDLHANGINGMAN.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHANGINGMAN.lo -MD -MP -MF .deps/ta_CDLHANGINGMAN.Tpo -c ta_CDLHANGINGMAN.c -fPIC -DPIC -o .libs/ta_CDLHANGINGMAN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHANGINGMAN.lo -MD -MP -MF .deps/ta_CDLHANGINGMAN.Tpo -c ta_CDLHANGINGMAN.c -o ta_CDLHANGINGMAN.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLHANGINGMAN.Tpo .deps/ta_CDLHANGINGMAN.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHARAMI.lo -MD -MP -MF .deps/ta_CDLHARAMI.Tpo -c -o ta_CDLHARAMI.lo ta_CDLHARAMI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHARAMI.lo -MD -MP -MF .deps/ta_CDLHARAMI.Tpo -c ta_CDLHARAMI.c -fPIC -DPIC -o .libs/ta_CDLHARAMI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHARAMI.lo -MD -MP -MF .deps/ta_CDLHARAMI.Tpo -c ta_CDLHARAMI.c -o ta_CDLHARAMI.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLHARAMI.Tpo .deps/ta_CDLHARAMI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHARAMICROSS.lo -MD -MP -MF .deps/ta_CDLHARAMICROSS.Tpo -c -o ta_CDLHARAMICROSS.lo ta_CDLHARAMICROSS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHARAMICROSS.lo -MD -MP -MF .deps/ta_CDLHARAMICROSS.Tpo -c ta_CDLHARAMICROSS.c -fPIC -DPIC -o .libs/ta_CDLHARAMICROSS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHARAMICROSS.lo -MD -MP -MF .deps/ta_CDLHARAMICROSS.Tpo -c ta_CDLHARAMICROSS.c -o ta_CDLHARAMICROSS.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLHARAMICROSS.Tpo .deps/ta_CDLHARAMICROSS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHIGHWAVE.lo -MD -MP -MF .deps/ta_CDLHIGHWAVE.Tpo -c -o ta_CDLHIGHWAVE.lo ta_CDLHIGHWAVE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHIGHWAVE.lo -MD -MP -MF .deps/ta_CDLHIGHWAVE.Tpo -c ta_CDLHIGHWAVE.c -fPIC -DPIC -o .libs/ta_CDLHIGHWAVE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHIGHWAVE.lo -MD -MP -MF .deps/ta_CDLHIGHWAVE.Tpo -c ta_CDLHIGHWAVE.c -o ta_CDLHIGHWAVE.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLHIGHWAVE.Tpo .deps/ta_CDLHIGHWAVE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHIKKAKE.lo -MD -MP -MF .deps/ta_CDLHIKKAKE.Tpo -c -o ta_CDLHIKKAKE.lo ta_CDLHIKKAKE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHIKKAKE.lo -MD -MP -MF .deps/ta_CDLHIKKAKE.Tpo -c ta_CDLHIKKAKE.c -fPIC -DPIC -o .libs/ta_CDLHIKKAKE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHIKKAKE.lo -MD -MP -MF .deps/ta_CDLHIKKAKE.Tpo -c ta_CDLHIKKAKE.c -o ta_CDLHIKKAKE.o >/dev/null 2>&1\n", "mv -f 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-I../ta_common/ -g -O2 -MT ta_CDLHOMINGPIGEON.lo -MD -MP -MF .deps/ta_CDLHOMINGPIGEON.Tpo -c ta_CDLHOMINGPIGEON.c -fPIC -DPIC -o .libs/ta_CDLHOMINGPIGEON.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLHOMINGPIGEON.lo -MD -MP -MF .deps/ta_CDLHOMINGPIGEON.Tpo -c ta_CDLHOMINGPIGEON.c -o ta_CDLHOMINGPIGEON.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLHOMINGPIGEON.Tpo .deps/ta_CDLHOMINGPIGEON.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLIDENTICAL3CROWS.lo -MD -MP -MF .deps/ta_CDLIDENTICAL3CROWS.Tpo -c -o ta_CDLIDENTICAL3CROWS.lo ta_CDLIDENTICAL3CROWS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLIDENTICAL3CROWS.lo -MD -MP -MF .deps/ta_CDLIDENTICAL3CROWS.Tpo -c ta_CDLIDENTICAL3CROWS.c -fPIC -DPIC -o .libs/ta_CDLIDENTICAL3CROWS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLIDENTICAL3CROWS.lo -MD -MP -MF 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ta_CDLINVERTEDHAMMER.lo ta_CDLINVERTEDHAMMER.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLINVERTEDHAMMER.lo -MD -MP -MF .deps/ta_CDLINVERTEDHAMMER.Tpo -c ta_CDLINVERTEDHAMMER.c -fPIC -DPIC -o .libs/ta_CDLINVERTEDHAMMER.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLINVERTEDHAMMER.lo -MD -MP -MF .deps/ta_CDLINVERTEDHAMMER.Tpo -c ta_CDLINVERTEDHAMMER.c -o ta_CDLINVERTEDHAMMER.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLINVERTEDHAMMER.Tpo .deps/ta_CDLINVERTEDHAMMER.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLKICKING.lo -MD -MP -MF .deps/ta_CDLKICKING.Tpo -c -o ta_CDLKICKING.lo ta_CDLKICKING.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLKICKING.lo -MD -MP -MF .deps/ta_CDLKICKING.Tpo -c ta_CDLKICKING.c -fPIC -DPIC -o .libs/ta_CDLKICKING.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLKICKING.lo -MD -MP -MF .deps/ta_CDLKICKING.Tpo -c ta_CDLKICKING.c -o ta_CDLKICKING.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLKICKING.Tpo .deps/ta_CDLKICKING.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLKICKINGBYLENGTH.lo -MD -MP -MF .deps/ta_CDLKICKINGBYLENGTH.Tpo -c -o ta_CDLKICKINGBYLENGTH.lo ta_CDLKICKINGBYLENGTH.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLKICKINGBYLENGTH.lo -MD -MP -MF .deps/ta_CDLKICKINGBYLENGTH.Tpo -c ta_CDLKICKINGBYLENGTH.c -fPIC -DPIC -o .libs/ta_CDLKICKINGBYLENGTH.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLKICKINGBYLENGTH.lo -MD -MP -MF .deps/ta_CDLKICKINGBYLENGTH.Tpo -c ta_CDLKICKINGBYLENGTH.c -o ta_CDLKICKINGBYLENGTH.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLKICKINGBYLENGTH.Tpo .deps/ta_CDLKICKINGBYLENGTH.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLLADDERBOTTOM.lo -MD -MP -MF .deps/ta_CDLLADDERBOTTOM.Tpo -c -o ta_CDLLADDERBOTTOM.lo ta_CDLLADDERBOTTOM.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLLADDERBOTTOM.lo -MD -MP -MF .deps/ta_CDLLADDERBOTTOM.Tpo -c ta_CDLLADDERBOTTOM.c -fPIC -DPIC -o .libs/ta_CDLLADDERBOTTOM.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLLADDERBOTTOM.lo -MD -MP -MF .deps/ta_CDLLADDERBOTTOM.Tpo -c ta_CDLLADDERBOTTOM.c -o ta_CDLLADDERBOTTOM.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLLADDERBOTTOM.Tpo .deps/ta_CDLLADDERBOTTOM.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLLONGLEGGEDDOJI.lo -MD -MP -MF .deps/ta_CDLLONGLEGGEDDOJI.Tpo -c -o ta_CDLLONGLEGGEDDOJI.lo ta_CDLLONGLEGGEDDOJI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLLONGLEGGEDDOJI.lo -MD -MP -MF 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ta_CDLMATCHINGLOW.lo -MD -MP -MF .deps/ta_CDLMATCHINGLOW.Tpo -c ta_CDLMATCHINGLOW.c -fPIC -DPIC -o .libs/ta_CDLMATCHINGLOW.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLMATCHINGLOW.lo -MD -MP -MF .deps/ta_CDLMATCHINGLOW.Tpo -c ta_CDLMATCHINGLOW.c -o ta_CDLMATCHINGLOW.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLMATCHINGLOW.Tpo .deps/ta_CDLMATCHINGLOW.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLMATHOLD.lo -MD -MP -MF .deps/ta_CDLMATHOLD.Tpo -c -o ta_CDLMATHOLD.lo ta_CDLMATHOLD.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLMATHOLD.lo -MD -MP -MF .deps/ta_CDLMATHOLD.Tpo -c ta_CDLMATHOLD.c -fPIC -DPIC -o .libs/ta_CDLMATHOLD.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLMATHOLD.lo -MD -MP -MF .deps/ta_CDLMATHOLD.Tpo -c ta_CDLMATHOLD.c -o ta_CDLMATHOLD.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLMATHOLD.Tpo 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" gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLMORNINGSTAR.lo -MD -MP -MF .deps/ta_CDLMORNINGSTAR.Tpo -c ta_CDLMORNINGSTAR.c -fPIC -DPIC -o .libs/ta_CDLMORNINGSTAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLMORNINGSTAR.lo -MD -MP -MF .deps/ta_CDLMORNINGSTAR.Tpo -c ta_CDLMORNINGSTAR.c -o ta_CDLMORNINGSTAR.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLMORNINGSTAR.Tpo .deps/ta_CDLMORNINGSTAR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLONNECK.lo -MD -MP -MF .deps/ta_CDLONNECK.Tpo -c -o ta_CDLONNECK.lo ta_CDLONNECK.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLONNECK.lo -MD -MP -MF .deps/ta_CDLONNECK.Tpo -c ta_CDLONNECK.c -fPIC -DPIC -o .libs/ta_CDLONNECK.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLONNECK.lo -MD -MP -MF .deps/ta_CDLONNECK.Tpo -c ta_CDLONNECK.c -o 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-I../../include -I../ta_common/ -g -O2 -MT ta_CDLRICKSHAWMAN.lo -MD -MP -MF .deps/ta_CDLRICKSHAWMAN.Tpo -c ta_CDLRICKSHAWMAN.c -fPIC -DPIC -o .libs/ta_CDLRICKSHAWMAN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLRICKSHAWMAN.lo -MD -MP -MF .deps/ta_CDLRICKSHAWMAN.Tpo -c ta_CDLRICKSHAWMAN.c -o ta_CDLRICKSHAWMAN.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLRICKSHAWMAN.Tpo .deps/ta_CDLRICKSHAWMAN.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLRISEFALL3METHODS.lo -MD -MP -MF .deps/ta_CDLRISEFALL3METHODS.Tpo -c -o ta_CDLRISEFALL3METHODS.lo ta_CDLRISEFALL3METHODS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLRISEFALL3METHODS.lo -MD -MP -MF .deps/ta_CDLRISEFALL3METHODS.Tpo -c ta_CDLRISEFALL3METHODS.c -fPIC -DPIC -o .libs/ta_CDLRISEFALL3METHODS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLRISEFALL3METHODS.lo -MD -MP -MF .deps/ta_CDLRISEFALL3METHODS.Tpo -c ta_CDLRISEFALL3METHODS.c -o ta_CDLRISEFALL3METHODS.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLRISEFALL3METHODS.Tpo .deps/ta_CDLRISEFALL3METHODS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSEPARATINGLINES.lo -MD -MP -MF .deps/ta_CDLSEPARATINGLINES.Tpo -c -o ta_CDLSEPARATINGLINES.lo ta_CDLSEPARATINGLINES.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSEPARATINGLINES.lo -MD -MP -MF .deps/ta_CDLSEPARATINGLINES.Tpo -c ta_CDLSEPARATINGLINES.c -fPIC -DPIC -o .libs/ta_CDLSEPARATINGLINES.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSEPARATINGLINES.lo -MD -MP -MF .deps/ta_CDLSEPARATINGLINES.Tpo -c ta_CDLSEPARATINGLINES.c -o ta_CDLSEPARATINGLINES.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLSEPARATINGLINES.Tpo .deps/ta_CDLSEPARATINGLINES.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSHOOTINGSTAR.lo -MD -MP -MF .deps/ta_CDLSHOOTINGSTAR.Tpo -c -o ta_CDLSHOOTINGSTAR.lo ta_CDLSHOOTINGSTAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSHOOTINGSTAR.lo -MD -MP -MF .deps/ta_CDLSHOOTINGSTAR.Tpo -c ta_CDLSHOOTINGSTAR.c -fPIC -DPIC -o .libs/ta_CDLSHOOTINGSTAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSHOOTINGSTAR.lo -MD -MP -MF .deps/ta_CDLSHOOTINGSTAR.Tpo -c ta_CDLSHOOTINGSTAR.c -o ta_CDLSHOOTINGSTAR.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLSHOOTINGSTAR.Tpo .deps/ta_CDLSHOOTINGSTAR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSHORTLINE.lo -MD -MP -MF .deps/ta_CDLSHORTLINE.Tpo -c -o ta_CDLSHORTLINE.lo ta_CDLSHORTLINE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSHORTLINE.lo -MD -MP -MF .deps/ta_CDLSHORTLINE.Tpo -c ta_CDLSHORTLINE.c -fPIC -DPIC -o .libs/ta_CDLSHORTLINE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSHORTLINE.lo -MD -MP -MF .deps/ta_CDLSHORTLINE.Tpo -c ta_CDLSHORTLINE.c -o ta_CDLSHORTLINE.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLSHORTLINE.Tpo .deps/ta_CDLSHORTLINE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSPINNINGTOP.lo -MD -MP -MF .deps/ta_CDLSPINNINGTOP.Tpo -c -o ta_CDLSPINNINGTOP.lo ta_CDLSPINNINGTOP.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSPINNINGTOP.lo -MD -MP -MF .deps/ta_CDLSPINNINGTOP.Tpo -c ta_CDLSPINNINGTOP.c -fPIC -DPIC -o .libs/ta_CDLSPINNINGTOP.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSPINNINGTOP.lo -MD -MP -MF .deps/ta_CDLSPINNINGTOP.Tpo -c ta_CDLSPINNINGTOP.c -o ta_CDLSPINNINGTOP.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLSPINNINGTOP.Tpo .deps/ta_CDLSPINNINGTOP.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSTALLEDPATTERN.lo -MD -MP -MF .deps/ta_CDLSTALLEDPATTERN.Tpo -c -o ta_CDLSTALLEDPATTERN.lo ta_CDLSTALLEDPATTERN.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSTALLEDPATTERN.lo -MD -MP -MF .deps/ta_CDLSTALLEDPATTERN.Tpo -c ta_CDLSTALLEDPATTERN.c -fPIC -DPIC -o .libs/ta_CDLSTALLEDPATTERN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSTALLEDPATTERN.lo -MD -MP -MF .deps/ta_CDLSTALLEDPATTERN.Tpo -c ta_CDLSTALLEDPATTERN.c -o ta_CDLSTALLEDPATTERN.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLSTALLEDPATTERN.Tpo .deps/ta_CDLSTALLEDPATTERN.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSTICKSANDWICH.lo -MD -MP -MF .deps/ta_CDLSTICKSANDWICH.Tpo -c -o ta_CDLSTICKSANDWICH.lo ta_CDLSTICKSANDWICH.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSTICKSANDWICH.lo -MD -MP -MF .deps/ta_CDLSTICKSANDWICH.Tpo -c ta_CDLSTICKSANDWICH.c -fPIC -DPIC -o .libs/ta_CDLSTICKSANDWICH.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLSTICKSANDWICH.lo -MD -MP -MF .deps/ta_CDLSTICKSANDWICH.Tpo -c ta_CDLSTICKSANDWICH.c -o ta_CDLSTICKSANDWICH.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLSTICKSANDWICH.Tpo .deps/ta_CDLSTICKSANDWICH.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTAKURI.lo -MD -MP -MF .deps/ta_CDLTAKURI.Tpo -c -o ta_CDLTAKURI.lo ta_CDLTAKURI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTAKURI.lo -MD -MP -MF .deps/ta_CDLTAKURI.Tpo -c ta_CDLTAKURI.c -fPIC -DPIC -o .libs/ta_CDLTAKURI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTAKURI.lo -MD -MP -MF .deps/ta_CDLTAKURI.Tpo -c ta_CDLTAKURI.c -o ta_CDLTAKURI.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLTAKURI.Tpo .deps/ta_CDLTAKURI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTASUKIGAP.lo -MD -MP -MF .deps/ta_CDLTASUKIGAP.Tpo -c -o ta_CDLTASUKIGAP.lo ta_CDLTASUKIGAP.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTASUKIGAP.lo -MD -MP -MF .deps/ta_CDLTASUKIGAP.Tpo -c ta_CDLTASUKIGAP.c -fPIC -DPIC -o .libs/ta_CDLTASUKIGAP.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTASUKIGAP.lo -MD -MP -MF .deps/ta_CDLTASUKIGAP.Tpo -c ta_CDLTASUKIGAP.c -o ta_CDLTASUKIGAP.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLTASUKIGAP.Tpo .deps/ta_CDLTASUKIGAP.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTHRUSTING.lo -MD -MP -MF .deps/ta_CDLTHRUSTING.Tpo -c -o ta_CDLTHRUSTING.lo ta_CDLTHRUSTING.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTHRUSTING.lo -MD -MP -MF .deps/ta_CDLTHRUSTING.Tpo -c ta_CDLTHRUSTING.c -fPIC -DPIC -o .libs/ta_CDLTHRUSTING.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTHRUSTING.lo -MD -MP -MF .deps/ta_CDLTHRUSTING.Tpo -c ta_CDLTHRUSTING.c -o ta_CDLTHRUSTING.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLTHRUSTING.Tpo .deps/ta_CDLTHRUSTING.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTRISTAR.lo -MD -MP -MF .deps/ta_CDLTRISTAR.Tpo -c -o ta_CDLTRISTAR.lo ta_CDLTRISTAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTRISTAR.lo -MD -MP -MF .deps/ta_CDLTRISTAR.Tpo -c ta_CDLTRISTAR.c -fPIC -DPIC -o .libs/ta_CDLTRISTAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLTRISTAR.lo -MD -MP -MF .deps/ta_CDLTRISTAR.Tpo -c ta_CDLTRISTAR.c -o ta_CDLTRISTAR.o >/dev/null 2>&1\n", "mv -f 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gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLUPSIDEGAP2CROWS.lo -MD -MP -MF .deps/ta_CDLUPSIDEGAP2CROWS.Tpo -c ta_CDLUPSIDEGAP2CROWS.c -fPIC -DPIC -o .libs/ta_CDLUPSIDEGAP2CROWS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLUPSIDEGAP2CROWS.lo -MD -MP -MF .deps/ta_CDLUPSIDEGAP2CROWS.Tpo -c ta_CDLUPSIDEGAP2CROWS.c -o ta_CDLUPSIDEGAP2CROWS.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLUPSIDEGAP2CROWS.Tpo .deps/ta_CDLUPSIDEGAP2CROWS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLXSIDEGAP3METHODS.lo -MD -MP -MF .deps/ta_CDLXSIDEGAP3METHODS.Tpo -c -o ta_CDLXSIDEGAP3METHODS.lo ta_CDLXSIDEGAP3METHODS.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLXSIDEGAP3METHODS.lo -MD -MP -MF .deps/ta_CDLXSIDEGAP3METHODS.Tpo -c ta_CDLXSIDEGAP3METHODS.c -fPIC -DPIC -o .libs/ta_CDLXSIDEGAP3METHODS.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CDLXSIDEGAP3METHODS.lo -MD -MP -MF .deps/ta_CDLXSIDEGAP3METHODS.Tpo -c ta_CDLXSIDEGAP3METHODS.c -o ta_CDLXSIDEGAP3METHODS.o >/dev/null 2>&1\n", "mv -f .deps/ta_CDLXSIDEGAP3METHODS.Tpo .deps/ta_CDLXSIDEGAP3METHODS.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CEIL.lo -MD -MP -MF .deps/ta_CEIL.Tpo -c -o ta_CEIL.lo ta_CEIL.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CEIL.lo -MD -MP -MF .deps/ta_CEIL.Tpo -c ta_CEIL.c -fPIC -DPIC -o .libs/ta_CEIL.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CEIL.lo -MD -MP -MF .deps/ta_CEIL.Tpo -c ta_CEIL.c -o ta_CEIL.o >/dev/null 2>&1\n", "mv -f .deps/ta_CEIL.Tpo .deps/ta_CEIL.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CMO.lo -MD -MP -MF .deps/ta_CMO.Tpo -c -o ta_CMO.lo ta_CMO.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CMO.lo -MD -MP -MF .deps/ta_CMO.Tpo -c ta_CMO.c -fPIC -DPIC -o .libs/ta_CMO.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CMO.lo -MD -MP -MF .deps/ta_CMO.Tpo -c ta_CMO.c -o ta_CMO.o >/dev/null 2>&1\n", "mv -f .deps/ta_CMO.Tpo .deps/ta_CMO.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CORREL.lo -MD -MP -MF .deps/ta_CORREL.Tpo -c -o ta_CORREL.lo ta_CORREL.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CORREL.lo -MD -MP -MF .deps/ta_CORREL.Tpo -c ta_CORREL.c -fPIC -DPIC -o .libs/ta_CORREL.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_CORREL.lo -MD -MP -MF .deps/ta_CORREL.Tpo -c ta_CORREL.c -o ta_CORREL.o >/dev/null 2>&1\n", "mv -f .deps/ta_CORREL.Tpo .deps/ta_CORREL.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. 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-I../../include -I../ta_common/ -g -O2 -MT ta_EMA.lo -MD -MP -MF .deps/ta_EMA.Tpo -c ta_EMA.c -o ta_EMA.o >/dev/null 2>&1\n", "mv -f .deps/ta_EMA.Tpo .deps/ta_EMA.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_EXP.lo -MD -MP -MF .deps/ta_EXP.Tpo -c -o ta_EXP.lo ta_EXP.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_EXP.lo -MD -MP -MF .deps/ta_EXP.Tpo -c ta_EXP.c -fPIC -DPIC -o .libs/ta_EXP.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_EXP.lo -MD -MP -MF .deps/ta_EXP.Tpo -c ta_EXP.c -o ta_EXP.o >/dev/null 2>&1\n", "mv -f .deps/ta_EXP.Tpo .deps/ta_EXP.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_FLOOR.lo -MD -MP -MF .deps/ta_FLOOR.Tpo -c -o ta_FLOOR.lo ta_FLOOR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_FLOOR.lo -MD -MP -MF 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-I../../include -I../ta_common/ -g -O2 -MT ta_HT_DCPHASE.lo -MD -MP -MF .deps/ta_HT_DCPHASE.Tpo -c -o ta_HT_DCPHASE.lo ta_HT_DCPHASE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_DCPHASE.lo -MD -MP -MF .deps/ta_HT_DCPHASE.Tpo -c ta_HT_DCPHASE.c -fPIC -DPIC -o .libs/ta_HT_DCPHASE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_DCPHASE.lo -MD -MP -MF .deps/ta_HT_DCPHASE.Tpo -c ta_HT_DCPHASE.c -o ta_HT_DCPHASE.o >/dev/null 2>&1\n", "mv -f .deps/ta_HT_DCPHASE.Tpo .deps/ta_HT_DCPHASE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_PHASOR.lo -MD -MP -MF .deps/ta_HT_PHASOR.Tpo -c -o ta_HT_PHASOR.lo ta_HT_PHASOR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_PHASOR.lo -MD -MP -MF .deps/ta_HT_PHASOR.Tpo -c ta_HT_PHASOR.c -fPIC -DPIC -o .libs/ta_HT_PHASOR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_PHASOR.lo -MD -MP -MF .deps/ta_HT_PHASOR.Tpo -c ta_HT_PHASOR.c -o ta_HT_PHASOR.o >/dev/null 2>&1\n", "mv -f .deps/ta_HT_PHASOR.Tpo .deps/ta_HT_PHASOR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_SINE.lo -MD -MP -MF .deps/ta_HT_SINE.Tpo -c -o ta_HT_SINE.lo ta_HT_SINE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_SINE.lo -MD -MP -MF .deps/ta_HT_SINE.Tpo -c ta_HT_SINE.c -fPIC -DPIC -o .libs/ta_HT_SINE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_SINE.lo -MD -MP -MF .deps/ta_HT_SINE.Tpo -c ta_HT_SINE.c -o ta_HT_SINE.o >/dev/null 2>&1\n", "mv -f .deps/ta_HT_SINE.Tpo .deps/ta_HT_SINE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_TRENDLINE.lo -MD -MP -MF .deps/ta_HT_TRENDLINE.Tpo -c -o ta_HT_TRENDLINE.lo ta_HT_TRENDLINE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_TRENDLINE.lo -MD -MP -MF .deps/ta_HT_TRENDLINE.Tpo -c ta_HT_TRENDLINE.c -fPIC -DPIC -o .libs/ta_HT_TRENDLINE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_TRENDLINE.lo -MD -MP -MF .deps/ta_HT_TRENDLINE.Tpo -c ta_HT_TRENDLINE.c -o ta_HT_TRENDLINE.o >/dev/null 2>&1\n", "mv -f .deps/ta_HT_TRENDLINE.Tpo .deps/ta_HT_TRENDLINE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_TRENDMODE.lo -MD -MP -MF .deps/ta_HT_TRENDMODE.Tpo -c -o ta_HT_TRENDMODE.lo ta_HT_TRENDMODE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_TRENDMODE.lo -MD -MP -MF .deps/ta_HT_TRENDMODE.Tpo -c ta_HT_TRENDMODE.c -fPIC -DPIC -o .libs/ta_HT_TRENDMODE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_HT_TRENDMODE.lo -MD -MP -MF .deps/ta_HT_TRENDMODE.Tpo 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ta_LINEARREG_SLOPE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_LINEARREG_SLOPE.lo -MD -MP -MF .deps/ta_LINEARREG_SLOPE.Tpo -c ta_LINEARREG_SLOPE.c -fPIC -DPIC -o .libs/ta_LINEARREG_SLOPE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_LINEARREG_SLOPE.lo -MD -MP -MF .deps/ta_LINEARREG_SLOPE.Tpo -c ta_LINEARREG_SLOPE.c -o ta_LINEARREG_SLOPE.o >/dev/null 2>&1\n", "mv -f .deps/ta_LINEARREG_SLOPE.Tpo .deps/ta_LINEARREG_SLOPE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_LN.lo -MD -MP -MF .deps/ta_LN.Tpo -c -o ta_LN.lo ta_LN.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_LN.lo -MD -MP -MF .deps/ta_LN.Tpo -c ta_LN.c -fPIC -DPIC -o .libs/ta_LN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_LN.lo -MD -MP -MF .deps/ta_LN.Tpo -c ta_LN.c -o ta_LN.o >/dev/null 2>&1\n", "mv -f .deps/ta_LN.Tpo 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-g -O2 -MT ta_ROCR100.lo -MD -MP -MF .deps/ta_ROCR100.Tpo -c ta_ROCR100.c -o ta_ROCR100.o >/dev/null 2>&1\n", "mv -f .deps/ta_ROCR100.Tpo .deps/ta_ROCR100.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_RSI.lo -MD -MP -MF .deps/ta_RSI.Tpo -c -o ta_RSI.lo ta_RSI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_RSI.lo -MD -MP -MF .deps/ta_RSI.Tpo -c ta_RSI.c -fPIC -DPIC -o .libs/ta_RSI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_RSI.lo -MD -MP -MF .deps/ta_RSI.Tpo -c ta_RSI.c -o ta_RSI.o >/dev/null 2>&1\n", "mv -f .deps/ta_RSI.Tpo .deps/ta_RSI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SAR.lo -MD -MP -MF .deps/ta_SAR.Tpo -c -o ta_SAR.lo ta_SAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SAR.lo -MD -MP -MF .deps/ta_SAR.Tpo -c 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" gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SIN.lo -MD -MP -MF .deps/ta_SIN.Tpo -c ta_SIN.c -fPIC -DPIC -o .libs/ta_SIN.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SIN.lo -MD -MP -MF .deps/ta_SIN.Tpo -c ta_SIN.c -o ta_SIN.o >/dev/null 2>&1\n", "mv -f .deps/ta_SIN.Tpo .deps/ta_SIN.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SINH.lo -MD -MP -MF .deps/ta_SINH.Tpo -c -o ta_SINH.lo ta_SINH.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SINH.lo -MD -MP -MF .deps/ta_SINH.Tpo -c ta_SINH.c -fPIC -DPIC -o .libs/ta_SINH.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SINH.lo -MD -MP -MF .deps/ta_SINH.Tpo -c ta_SINH.c -o ta_SINH.o >/dev/null 2>&1\n", "mv -f .deps/ta_SINH.Tpo .deps/ta_SINH.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SMA.lo -MD -MP -MF .deps/ta_SMA.Tpo -c -o ta_SMA.lo ta_SMA.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SMA.lo -MD -MP -MF .deps/ta_SMA.Tpo -c ta_SMA.c -fPIC -DPIC -o .libs/ta_SMA.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SMA.lo -MD -MP -MF .deps/ta_SMA.Tpo -c ta_SMA.c -o ta_SMA.o >/dev/null 2>&1\n", "mv -f .deps/ta_SMA.Tpo .deps/ta_SMA.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SQRT.lo -MD -MP -MF .deps/ta_SQRT.Tpo -c -o ta_SQRT.lo ta_SQRT.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SQRT.lo -MD -MP -MF .deps/ta_SQRT.Tpo -c ta_SQRT.c -fPIC -DPIC -o .libs/ta_SQRT.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SQRT.lo -MD -MP -MF .deps/ta_SQRT.Tpo -c ta_SQRT.c -o ta_SQRT.o >/dev/null 2>&1\n", "mv -f .deps/ta_SQRT.Tpo .deps/ta_SQRT.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STDDEV.lo -MD -MP -MF .deps/ta_STDDEV.Tpo -c -o ta_STDDEV.lo ta_STDDEV.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STDDEV.lo -MD -MP -MF .deps/ta_STDDEV.Tpo -c ta_STDDEV.c -fPIC -DPIC -o .libs/ta_STDDEV.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STDDEV.lo -MD -MP -MF .deps/ta_STDDEV.Tpo -c ta_STDDEV.c -o ta_STDDEV.o >/dev/null 2>&1\n", "mv -f .deps/ta_STDDEV.Tpo .deps/ta_STDDEV.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCH.lo -MD -MP -MF .deps/ta_STOCH.Tpo -c -o ta_STOCH.lo ta_STOCH.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCH.lo -MD -MP -MF .deps/ta_STOCH.Tpo -c ta_STOCH.c -fPIC -DPIC -o .libs/ta_STOCH.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCH.lo -MD -MP -MF .deps/ta_STOCH.Tpo -c ta_STOCH.c -o ta_STOCH.o >/dev/null 2>&1\n", "mv -f .deps/ta_STOCH.Tpo .deps/ta_STOCH.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCHF.lo -MD -MP -MF .deps/ta_STOCHF.Tpo -c -o ta_STOCHF.lo ta_STOCHF.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCHF.lo -MD -MP -MF .deps/ta_STOCHF.Tpo -c ta_STOCHF.c -fPIC -DPIC -o .libs/ta_STOCHF.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCHF.lo -MD -MP -MF .deps/ta_STOCHF.Tpo -c ta_STOCHF.c -o ta_STOCHF.o >/dev/null 2>&1\n", "mv -f .deps/ta_STOCHF.Tpo .deps/ta_STOCHF.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCHRSI.lo -MD -MP -MF .deps/ta_STOCHRSI.Tpo -c -o ta_STOCHRSI.lo ta_STOCHRSI.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCHRSI.lo -MD -MP -MF .deps/ta_STOCHRSI.Tpo -c ta_STOCHRSI.c -fPIC -DPIC -o .libs/ta_STOCHRSI.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_STOCHRSI.lo -MD -MP -MF .deps/ta_STOCHRSI.Tpo -c ta_STOCHRSI.c -o ta_STOCHRSI.o >/dev/null 2>&1\n", "mv -f .deps/ta_STOCHRSI.Tpo .deps/ta_STOCHRSI.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SUB.lo -MD -MP -MF .deps/ta_SUB.Tpo -c -o ta_SUB.lo ta_SUB.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SUB.lo -MD -MP -MF .deps/ta_SUB.Tpo -c ta_SUB.c -fPIC -DPIC -o .libs/ta_SUB.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SUB.lo -MD -MP -MF .deps/ta_SUB.Tpo -c ta_SUB.c -o ta_SUB.o >/dev/null 2>&1\n", "mv -f .deps/ta_SUB.Tpo .deps/ta_SUB.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_SUM.lo -MD -MP 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.deps/ta_TRIX.Tpo -c ta_TRIX.c -fPIC -DPIC -o .libs/ta_TRIX.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TRIX.lo -MD -MP -MF .deps/ta_TRIX.Tpo -c ta_TRIX.c -o ta_TRIX.o >/dev/null 2>&1\n", "mv -f .deps/ta_TRIX.Tpo .deps/ta_TRIX.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TSF.lo -MD -MP -MF .deps/ta_TSF.Tpo -c -o ta_TSF.lo ta_TSF.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TSF.lo -MD -MP -MF .deps/ta_TSF.Tpo -c ta_TSF.c -fPIC -DPIC -o .libs/ta_TSF.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TSF.lo -MD -MP -MF .deps/ta_TSF.Tpo -c ta_TSF.c -o ta_TSF.o >/dev/null 2>&1\n", "mv -f .deps/ta_TSF.Tpo .deps/ta_TSF.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TYPPRICE.lo -MD -MP -MF .deps/ta_TYPPRICE.Tpo -c -o ta_TYPPRICE.lo ta_TYPPRICE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TYPPRICE.lo -MD -MP -MF .deps/ta_TYPPRICE.Tpo -c ta_TYPPRICE.c -fPIC -DPIC -o .libs/ta_TYPPRICE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_TYPPRICE.lo -MD -MP -MF .deps/ta_TYPPRICE.Tpo -c ta_TYPPRICE.c -o ta_TYPPRICE.o >/dev/null 2>&1\n", "mv -f .deps/ta_TYPPRICE.Tpo .deps/ta_TYPPRICE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ULTOSC.lo -MD -MP -MF .deps/ta_ULTOSC.Tpo -c -o ta_ULTOSC.lo ta_ULTOSC.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ULTOSC.lo -MD -MP -MF .deps/ta_ULTOSC.Tpo -c ta_ULTOSC.c -fPIC -DPIC -o .libs/ta_ULTOSC.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_ULTOSC.lo -MD -MP -MF .deps/ta_ULTOSC.Tpo -c ta_ULTOSC.c -o ta_ULTOSC.o >/dev/null 2>&1\n", "mv -f .deps/ta_ULTOSC.Tpo .deps/ta_ULTOSC.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_VAR.lo -MD -MP -MF .deps/ta_VAR.Tpo -c -o ta_VAR.lo ta_VAR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_VAR.lo -MD -MP -MF .deps/ta_VAR.Tpo -c ta_VAR.c -fPIC -DPIC -o .libs/ta_VAR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_VAR.lo -MD -MP -MF .deps/ta_VAR.Tpo -c ta_VAR.c -o ta_VAR.o >/dev/null 2>&1\n", "mv -f .deps/ta_VAR.Tpo .deps/ta_VAR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WCLPRICE.lo -MD -MP -MF .deps/ta_WCLPRICE.Tpo -c -o ta_WCLPRICE.lo ta_WCLPRICE.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WCLPRICE.lo -MD -MP -MF .deps/ta_WCLPRICE.Tpo -c ta_WCLPRICE.c -fPIC -DPIC -o .libs/ta_WCLPRICE.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WCLPRICE.lo -MD -MP -MF .deps/ta_WCLPRICE.Tpo -c ta_WCLPRICE.c -o ta_WCLPRICE.o >/dev/null 2>&1\n", "mv -f .deps/ta_WCLPRICE.Tpo .deps/ta_WCLPRICE.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WILLR.lo -MD -MP -MF .deps/ta_WILLR.Tpo -c -o ta_WILLR.lo ta_WILLR.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WILLR.lo -MD -MP -MF .deps/ta_WILLR.Tpo -c ta_WILLR.c -fPIC -DPIC -o .libs/ta_WILLR.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WILLR.lo -MD -MP -MF .deps/ta_WILLR.Tpo -c ta_WILLR.c -o ta_WILLR.o >/dev/null 2>&1\n", "mv -f .deps/ta_WILLR.Tpo .deps/ta_WILLR.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WMA.lo -MD -MP -MF .deps/ta_WMA.Tpo -c -o ta_WMA.lo ta_WMA.c\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WMA.lo -MD -MP -MF .deps/ta_WMA.Tpo -c ta_WMA.c -fPIC -DPIC -o .libs/ta_WMA.o\n", " gcc -DHAVE_CONFIG_H -I. -I../../include -I../ta_common/ -g -O2 -MT ta_WMA.lo -MD -MP -MF .deps/ta_WMA.Tpo -c ta_WMA.c -o ta_WMA.o >/dev/null 2>&1\n", "mv -f .deps/ta_WMA.Tpo .deps/ta_WMA.Plo\n", "/bin/bash ../../libtool --tag=CC --mode=link gcc -g -O2 -version-info 0:0:0 -o libta_func.la ta_utility.lo ta_ACOS.lo ta_AD.lo ta_ADD.lo ta_ADOSC.lo ta_ADX.lo ta_ADXR.lo ta_APO.lo ta_AROON.lo ta_AROONOSC.lo ta_ASIN.lo ta_ATAN.lo ta_ATR.lo ta_AVGPRICE.lo ta_BBANDS.lo ta_BETA.lo ta_BOP.lo ta_CCI.lo ta_CDL2CROWS.lo ta_CDL3BLACKCROWS.lo ta_CDL3INSIDE.lo ta_CDL3LINESTRIKE.lo ta_CDL3OUTSIDE.lo ta_CDL3STARSINSOUTH.lo ta_CDL3WHITESOLDIERS.lo ta_CDLABANDONEDBABY.lo ta_CDLADVANCEBLOCK.lo ta_CDLBELTHOLD.lo ta_CDLBREAKAWAY.lo ta_CDLCLOSINGMARUBOZU.lo ta_CDLCONCEALBABYSWALL.lo ta_CDLCOUNTERATTACK.lo ta_CDLDARKCLOUDCOVER.lo ta_CDLDOJI.lo ta_CDLDOJISTAR.lo ta_CDLDRAGONFLYDOJI.lo ta_CDLENGULFING.lo ta_CDLEVENINGDOJISTAR.lo ta_CDLEVENINGSTAR.lo ta_CDLGAPSIDESIDEWHITE.lo ta_CDLGRAVESTONEDOJI.lo ta_CDLHAMMER.lo ta_CDLHANGINGMAN.lo ta_CDLHARAMI.lo ta_CDLHARAMICROSS.lo ta_CDLHIGHWAVE.lo ta_CDLHIKKAKE.lo ta_CDLHIKKAKEMOD.lo ta_CDLHOMINGPIGEON.lo ta_CDLIDENTICAL3CROWS.lo ta_CDLINNECK.lo ta_CDLINVERTEDHAMMER.lo ta_CDLKICKING.lo ta_CDLKICKINGBYLENGTH.lo ta_CDLLADDERBOTTOM.lo ta_CDLLONGLEGGEDDOJI.lo ta_CDLLONGLINE.lo ta_CDLMARUBOZU.lo ta_CDLMATCHINGLOW.lo ta_CDLMATHOLD.lo ta_CDLMORNINGDOJISTAR.lo ta_CDLMORNINGSTAR.lo ta_CDLONNECK.lo ta_CDLPIERCING.lo ta_CDLRICKSHAWMAN.lo ta_CDLRISEFALL3METHODS.lo ta_CDLSEPARATINGLINES.lo ta_CDLSHOOTINGSTAR.lo ta_CDLSHORTLINE.lo ta_CDLSPINNINGTOP.lo ta_CDLSTALLEDPATTERN.lo ta_CDLSTICKSANDWICH.lo ta_CDLTAKURI.lo ta_CDLTASUKIGAP.lo ta_CDLTHRUSTING.lo ta_CDLTRISTAR.lo ta_CDLUNIQUE3RIVER.lo ta_CDLUPSIDEGAP2CROWS.lo ta_CDLXSIDEGAP3METHODS.lo ta_CEIL.lo ta_CMO.lo ta_CORREL.lo ta_COS.lo ta_COSH.lo ta_DEMA.lo ta_DIV.lo ta_DX.lo ta_EMA.lo ta_EXP.lo ta_FLOOR.lo ta_HT_DCPERIOD.lo ta_HT_DCPHASE.lo ta_HT_PHASOR.lo ta_HT_SINE.lo ta_HT_TRENDLINE.lo ta_HT_TRENDMODE.lo ta_KAMA.lo ta_LINEARREG.lo ta_LINEARREG_ANGLE.lo ta_LINEARREG_INTERCEPT.lo ta_LINEARREG_SLOPE.lo ta_LN.lo ta_LOG10.lo ta_MA.lo ta_MACD.lo ta_MACDEXT.lo ta_MACDFIX.lo ta_MAMA.lo ta_MAVP.lo ta_MAX.lo ta_MAXINDEX.lo ta_MEDPRICE.lo ta_MFI.lo ta_MIDPOINT.lo ta_MIDPRICE.lo ta_MIN.lo ta_MININDEX.lo ta_MINMAX.lo ta_MINMAXINDEX.lo ta_MINUS_DI.lo ta_MINUS_DM.lo ta_MOM.lo ta_MULT.lo ta_NATR.lo ta_OBV.lo ta_PLUS_DI.lo ta_PLUS_DM.lo ta_PPO.lo ta_ROC.lo ta_ROCP.lo ta_ROCR.lo ta_ROCR100.lo ta_RSI.lo ta_SAR.lo ta_SAREXT.lo ta_SIN.lo ta_SINH.lo ta_SMA.lo ta_SQRT.lo ta_STDDEV.lo ta_STOCH.lo ta_STOCHF.lo ta_STOCHRSI.lo ta_SUB.lo ta_SUM.lo ta_T3.lo ta_TAN.lo ta_TANH.lo ta_TEMA.lo ta_TRANGE.lo ta_TRIMA.lo ta_TRIX.lo ta_TSF.lo ta_TYPPRICE.lo ta_ULTOSC.lo ta_VAR.lo ta_WCLPRICE.lo ta_WILLR.lo ta_WMA.lo -lpthread -ldl \n", "libtool: link: warning: `-version-info/-version-number' is ignored for convenience libraries\n", "ar cru .libs/libta_func.a .libs/ta_utility.o .libs/ta_ACOS.o .libs/ta_AD.o .libs/ta_ADD.o .libs/ta_ADOSC.o .libs/ta_ADX.o .libs/ta_ADXR.o .libs/ta_APO.o .libs/ta_AROON.o .libs/ta_AROONOSC.o .libs/ta_ASIN.o .libs/ta_ATAN.o .libs/ta_ATR.o .libs/ta_AVGPRICE.o .libs/ta_BBANDS.o .libs/ta_BETA.o .libs/ta_BOP.o .libs/ta_CCI.o .libs/ta_CDL2CROWS.o .libs/ta_CDL3BLACKCROWS.o .libs/ta_CDL3INSIDE.o .libs/ta_CDL3LINESTRIKE.o .libs/ta_CDL3OUTSIDE.o .libs/ta_CDL3STARSINSOUTH.o .libs/ta_CDL3WHITESOLDIERS.o .libs/ta_CDLABANDONEDBABY.o .libs/ta_CDLADVANCEBLOCK.o .libs/ta_CDLBELTHOLD.o .libs/ta_CDLBREAKAWAY.o .libs/ta_CDLCLOSINGMARUBOZU.o .libs/ta_CDLCONCEALBABYSWALL.o .libs/ta_CDLCOUNTERATTACK.o .libs/ta_CDLDARKCLOUDCOVER.o .libs/ta_CDLDOJI.o .libs/ta_CDLDOJISTAR.o .libs/ta_CDLDRAGONFLYDOJI.o .libs/ta_CDLENGULFING.o .libs/ta_CDLEVENINGDOJISTAR.o .libs/ta_CDLEVENINGSTAR.o .libs/ta_CDLGAPSIDESIDEWHITE.o .libs/ta_CDLGRAVESTONEDOJI.o .libs/ta_CDLHAMMER.o .libs/ta_CDLHANGINGMAN.o .libs/ta_CDLHARAMI.o .libs/ta_CDLHARAMICROSS.o .libs/ta_CDLHIGHWAVE.o .libs/ta_CDLHIKKAKE.o .libs/ta_CDLHIKKAKEMOD.o .libs/ta_CDLHOMINGPIGEON.o .libs/ta_CDLIDENTICAL3CROWS.o .libs/ta_CDLINNECK.o .libs/ta_CDLINVERTEDHAMMER.o .libs/ta_CDLKICKING.o .libs/ta_CDLKICKINGBYLENGTH.o .libs/ta_CDLLADDERBOTTOM.o .libs/ta_CDLLONGLEGGEDDOJI.o .libs/ta_CDLLONGLINE.o .libs/ta_CDLMARUBOZU.o .libs/ta_CDLMATCHINGLOW.o .libs/ta_CDLMATHOLD.o .libs/ta_CDLMORNINGDOJISTAR.o .libs/ta_CDLMORNINGSTAR.o .libs/ta_CDLONNECK.o .libs/ta_CDLPIERCING.o .libs/ta_CDLRICKSHAWMAN.o .libs/ta_CDLRISEFALL3METHODS.o .libs/ta_CDLSEPARATINGLINES.o .libs/ta_CDLSHOOTINGSTAR.o .libs/ta_CDLSHORTLINE.o .libs/ta_CDLSPINNINGTOP.o .libs/ta_CDLSTALLEDPATTERN.o .libs/ta_CDLSTICKSANDWICH.o .libs/ta_CDLTAKURI.o .libs/ta_CDLTASUKIGAP.o .libs/ta_CDLTHRUSTING.o .libs/ta_CDLTRISTAR.o .libs/ta_CDLUNIQUE3RIVER.o .libs/ta_CDLUPSIDEGAP2CROWS.o .libs/ta_CDLXSIDEGAP3METHODS.o .libs/ta_CEIL.o .libs/ta_CMO.o .libs/ta_CORREL.o .libs/ta_COS.o .libs/ta_COSH.o .libs/ta_DEMA.o .libs/ta_DIV.o .libs/ta_DX.o .libs/ta_EMA.o .libs/ta_EXP.o .libs/ta_FLOOR.o .libs/ta_HT_DCPERIOD.o .libs/ta_HT_DCPHASE.o .libs/ta_HT_PHASOR.o .libs/ta_HT_SINE.o .libs/ta_HT_TRENDLINE.o .libs/ta_HT_TRENDMODE.o .libs/ta_KAMA.o .libs/ta_LINEARREG.o .libs/ta_LINEARREG_ANGLE.o .libs/ta_LINEARREG_INTERCEPT.o .libs/ta_LINEARREG_SLOPE.o .libs/ta_LN.o .libs/ta_LOG10.o .libs/ta_MA.o .libs/ta_MACD.o .libs/ta_MACDEXT.o .libs/ta_MACDFIX.o .libs/ta_MAMA.o .libs/ta_MAVP.o .libs/ta_MAX.o .libs/ta_MAXINDEX.o .libs/ta_MEDPRICE.o .libs/ta_MFI.o .libs/ta_MIDPOINT.o .libs/ta_MIDPRICE.o .libs/ta_MIN.o .libs/ta_MININDEX.o .libs/ta_MINMAX.o .libs/ta_MINMAXINDEX.o .libs/ta_MINUS_DI.o .libs/ta_MINUS_DM.o .libs/ta_MOM.o .libs/ta_MULT.o .libs/ta_NATR.o .libs/ta_OBV.o .libs/ta_PLUS_DI.o .libs/ta_PLUS_DM.o .libs/ta_PPO.o .libs/ta_ROC.o .libs/ta_ROCP.o .libs/ta_ROCR.o .libs/ta_ROCR100.o .libs/ta_RSI.o .libs/ta_SAR.o .libs/ta_SAREXT.o .libs/ta_SIN.o .libs/ta_SINH.o .libs/ta_SMA.o .libs/ta_SQRT.o .libs/ta_STDDEV.o .libs/ta_STOCH.o .libs/ta_STOCHF.o .libs/ta_STOCHRSI.o .libs/ta_SUB.o .libs/ta_SUM.o .libs/ta_T3.o .libs/ta_TAN.o .libs/ta_TANH.o .libs/ta_TEMA.o .libs/ta_TRANGE.o .libs/ta_TRIMA.o .libs/ta_TRIX.o .libs/ta_TSF.o .libs/ta_TYPPRICE.o .libs/ta_ULTOSC.o .libs/ta_VAR.o .libs/ta_WCLPRICE.o .libs/ta_WILLR.o .libs/ta_WMA.o\n", "ar: `u' modifier ignored since `D' is the default (see `U')\n", "ranlib .libs/libta_func.a\n", "creating libta_func.la\n", "(cd .libs && rm -f libta_func.la && ln -s ../libta_func.la libta_func.la)\n", "make[2]: Leaving directory '/content/ta-lib/src/ta_func'\n", "make[2]: Entering directory '/content/ta-lib/src'\n", "/bin/bash ../libtool --tag=CC --mode=link gcc -g -O2 -version-info 0:0:0 -o libta_lib.la -rpath /usr/lib ta_abstract/libta_abstract.la ta_func/libta_func.la ta_common/libta_common.la -lpthread -ldl \n", "mkdir .libs\n", "gcc -shared -Wl,--whole-archive ta_abstract/.libs/libta_abstract.a ta_func/.libs/libta_func.a ta_common/.libs/libta_common.a -Wl,--no-whole-archive -lpthread -ldl -Wl,-soname -Wl,libta_lib.so.0 -o .libs/libta_lib.so.0.0.0\n", "(cd .libs && rm -f libta_lib.so.0 && ln -s libta_lib.so.0.0.0 libta_lib.so.0)\n", "(cd .libs && rm -f libta_lib.so && ln -s libta_lib.so.0.0.0 libta_lib.so)\n", "rm -fr .libs/libta_lib.lax\n", "mkdir .libs/libta_lib.lax\n", "rm -fr .libs/libta_lib.lax/libta_abstract.a\n", "mkdir .libs/libta_lib.lax/libta_abstract.a\n", "(cd .libs/libta_lib.lax/libta_abstract.a && ar x /content/ta-lib/src/ta_abstract/.libs/libta_abstract.a)\n", "rm -fr .libs/libta_lib.lax/libta_func.a\n", "mkdir .libs/libta_lib.lax/libta_func.a\n", "(cd .libs/libta_lib.lax/libta_func.a && ar x /content/ta-lib/src/ta_func/.libs/libta_func.a)\n", "rm -fr .libs/libta_lib.lax/libta_common.a\n", "mkdir .libs/libta_lib.lax/libta_common.a\n", "(cd .libs/libta_lib.lax/libta_common.a && ar x /content/ta-lib/src/ta_common/.libs/libta_common.a)\n", "ar cru .libs/libta_lib.a .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_h.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_a.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_b.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_p.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_s.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-ta_func_api.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_m.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-ta_group_idx.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_l.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_q.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_o.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_c.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-ta_abstract.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_y.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_t.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_u.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_k.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_j.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_x.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_r.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-ta_def_ui.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_w.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-ta_frame.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_n.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_d.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_f.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_v.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_g.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_e.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_z.o .libs/libta_lib.lax/libta_abstract.a/libta_abstract_la-table_i.o .libs/libta_lib.lax/libta_func.a/ta_T3.o .libs/libta_lib.lax/libta_func.a/ta_PLUS_DM.o .libs/libta_lib.lax/libta_func.a/ta_TRIMA.o .libs/libta_lib.lax/libta_func.a/ta_SQRT.o .libs/libta_lib.lax/libta_func.a/ta_TAN.o .libs/libta_lib.lax/libta_func.a/ta_CDLTHRUSTING.o .libs/libta_lib.lax/libta_func.a/ta_MINUS_DI.o .libs/libta_lib.lax/libta_func.a/ta_CDLDOJI.o .libs/libta_lib.lax/libta_func.a/ta_CDLHARAMICROSS.o .libs/libta_lib.lax/libta_func.a/ta_ATR.o .libs/libta_lib.lax/libta_func.a/ta_AROONOSC.o .libs/libta_lib.lax/libta_func.a/ta_KAMA.o .libs/libta_lib.lax/libta_func.a/ta_CDLCLOSINGMARUBOZU.o .libs/libta_lib.lax/libta_func.a/ta_CDLTRISTAR.o .libs/libta_lib.lax/libta_func.a/ta_SMA.o .libs/libta_lib.lax/libta_func.a/ta_HT_TRENDLINE.o .libs/libta_lib.lax/libta_func.a/ta_LN.o .libs/libta_lib.lax/libta_func.a/ta_MININDEX.o .libs/libta_lib.lax/libta_func.a/ta_DEMA.o .libs/libta_lib.lax/libta_func.a/ta_AD.o .libs/libta_lib.lax/libta_func.a/ta_CDL3WHITESOLDIERS.o .libs/libta_lib.lax/libta_func.a/ta_WILLR.o .libs/libta_lib.lax/libta_func.a/ta_MAXINDEX.o .libs/libta_lib.lax/libta_func.a/ta_WMA.o .libs/libta_lib.lax/libta_func.a/ta_STOCHRSI.o .libs/libta_lib.lax/libta_func.a/ta_CDLEVENINGDOJISTAR.o .libs/libta_lib.lax/libta_func.a/ta_CDLLONGLEGGEDDOJI.o .libs/libta_lib.lax/libta_func.a/ta_CDL2CROWS.o .libs/libta_lib.lax/libta_func.a/ta_CDL3INSIDE.o .libs/libta_lib.lax/libta_func.a/ta_CDLDOJISTAR.o .libs/libta_lib.lax/libta_func.a/ta_STOCH.o .libs/libta_lib.lax/libta_func.a/ta_ROC.o .libs/libta_lib.lax/libta_func.a/ta_LOG10.o .libs/libta_lib.lax/libta_func.a/ta_OBV.o .libs/libta_lib.lax/libta_func.a/ta_APO.o .libs/libta_lib.lax/libta_func.a/ta_TRANGE.o .libs/libta_lib.lax/libta_func.a/ta_RSI.o .libs/libta_lib.lax/libta_func.a/ta_CDLCONCEALBABYSWALL.o .libs/libta_lib.lax/libta_func.a/ta_CDLIDENTICAL3CROWS.o .libs/libta_lib.lax/libta_func.a/ta_BETA.o .libs/libta_lib.lax/libta_func.a/ta_AROON.o .libs/libta_lib.lax/libta_func.a/ta_CDLLONGLINE.o 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.libs/libta_lib.lax/libta_func.a/ta_TYPPRICE.o .libs/libta_lib.lax/libta_func.a/ta_CDLRICKSHAWMAN.o .libs/libta_lib.lax/libta_func.a/ta_LINEARREG_INTERCEPT.o .libs/libta_lib.lax/libta_func.a/ta_NATR.o .libs/libta_lib.lax/libta_func.a/ta_LINEARREG_ANGLE.o .libs/libta_lib.lax/libta_func.a/ta_CDLTAKURI.o .libs/libta_lib.lax/libta_func.a/ta_PLUS_DI.o .libs/libta_lib.lax/libta_func.a/ta_TEMA.o .libs/libta_lib.lax/libta_func.a/ta_CDLENGULFING.o .libs/libta_lib.lax/libta_func.a/ta_LINEARREG_SLOPE.o .libs/libta_lib.lax/libta_func.a/ta_CDLMATCHINGLOW.o .libs/libta_lib.lax/libta_func.a/ta_MEDPRICE.o .libs/libta_lib.lax/libta_func.a/ta_CDLUNIQUE3RIVER.o .libs/libta_lib.lax/libta_func.a/ta_CDLXSIDEGAP3METHODS.o .libs/libta_lib.lax/libta_func.a/ta_ADX.o .libs/libta_lib.lax/libta_func.a/ta_CORREL.o .libs/libta_lib.lax/libta_func.a/ta_BOP.o .libs/libta_lib.lax/libta_func.a/ta_VAR.o .libs/libta_lib.lax/libta_func.a/ta_CMO.o .libs/libta_lib.lax/libta_func.a/ta_CDLUPSIDEGAP2CROWS.o 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libta_lib.la\n", "(cd .libs && rm -f libta_lib.la && ln -s ../libta_lib.la libta_lib.la)\n", "make[2]: Leaving directory '/content/ta-lib/src'\n", "make[1]: Leaving directory '/content/ta-lib/src'\n", "Making all in src/tools\n", "make[1]: Entering directory '/content/ta-lib/src/tools'\n", "Making all in gen_code\n", "make[2]: Entering directory '/content/ta-lib/src/tools/gen_code'\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_common -g -O2 -MT gen_code-gen_code.o -MD -MP -MF .deps/gen_code-gen_code.Tpo -c -o gen_code-gen_code.o `test -f 'gen_code.c' || echo './'`gen_code.c\n", "\u001b[01m\u001b[Kgen_code.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KprintFuncHeaderDoc\u001b[m\u001b[K’:\n", "\u001b[01m\u001b[Kgen_code.c:3456:4:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kformat not a string literal and no format arguments [\u001b[01;35m\u001b[K-Wformat-security\u001b[m\u001b[K]\n", " 3456 | \u001b[01;35m\u001b[Kfprintf\u001b[m\u001b[K( out, prefix 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"make[2]: Entering directory '/content/ta-lib/src/tools/ta_regtest'\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-ta_regtest.o -MD -MP -MF .deps/ta_regtest-ta_regtest.Tpo -c -o ta_regtest-ta_regtest.o `test -f 'ta_regtest.c' || echo './'`ta_regtest.c\n", "mv -f .deps/ta_regtest-ta_regtest.Tpo .deps/ta_regtest-ta_regtest.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_data.o -MD -MP -MF .deps/ta_regtest-test_data.Tpo -c -o ta_regtest-test_data.o `test -f 'test_data.c' || echo './'`test_data.c\n", "mv -f .deps/ta_regtest-test_data.Tpo .deps/ta_regtest-test_data.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_util.o -MD -MP -MF .deps/ta_regtest-test_util.Tpo -c -o ta_regtest-test_util.o `test -f 'test_util.c' || echo './'`test_util.c\n", "mv -f .deps/ta_regtest-test_util.Tpo .deps/ta_regtest-test_util.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_abstract.o -MD -MP -MF .deps/ta_regtest-test_abstract.Tpo -c -o ta_regtest-test_abstract.o `test -f 'test_abstract.c' || echo './'`test_abstract.c\n", "mv -f .deps/ta_regtest-test_abstract.Tpo .deps/ta_regtest-test_abstract.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_adx.o -MD -MP -MF .deps/ta_regtest-test_adx.Tpo -c -o ta_regtest-test_adx.o `test -f 'ta_test_func/test_adx.c' || echo './'`ta_test_func/test_adx.c\n", "mv -f .deps/ta_regtest-test_adx.Tpo .deps/ta_regtest-test_adx.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_mom.o -MD -MP -MF .deps/ta_regtest-test_mom.Tpo -c -o ta_regtest-test_mom.o `test -f 'ta_test_func/test_mom.c' || echo './'`ta_test_func/test_mom.c\n", "mv -f .deps/ta_regtest-test_mom.Tpo .deps/ta_regtest-test_mom.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_sar.o -MD -MP -MF .deps/ta_regtest-test_sar.Tpo -c -o ta_regtest-test_sar.o `test -f 'ta_test_func/test_sar.c' || echo './'`ta_test_func/test_sar.c\n", "mv -f .deps/ta_regtest-test_sar.Tpo .deps/ta_regtest-test_sar.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_rsi.o -MD -MP -MF .deps/ta_regtest-test_rsi.Tpo -c -o ta_regtest-test_rsi.o `test -f 'ta_test_func/test_rsi.c' || echo './'`ta_test_func/test_rsi.c\n", "mv -f .deps/ta_regtest-test_rsi.Tpo .deps/ta_regtest-test_rsi.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_candlestick.o -MD -MP -MF .deps/ta_regtest-test_candlestick.Tpo -c -o ta_regtest-test_candlestick.o `test -f 'ta_test_func/test_candlestick.c' || echo './'`ta_test_func/test_candlestick.c\n", "mv -f .deps/ta_regtest-test_candlestick.Tpo .deps/ta_regtest-test_candlestick.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_per_ema.o -MD -MP -MF .deps/ta_regtest-test_per_ema.Tpo -c -o ta_regtest-test_per_ema.o `test -f 'ta_test_func/test_per_ema.c' || echo './'`ta_test_func/test_per_ema.c\n", "mv -f .deps/ta_regtest-test_per_ema.Tpo .deps/ta_regtest-test_per_ema.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_per_hlc.o -MD -MP -MF .deps/ta_regtest-test_per_hlc.Tpo -c -o ta_regtest-test_per_hlc.o `test -f 'ta_test_func/test_per_hlc.c' || echo './'`ta_test_func/test_per_hlc.c\n", "mv -f .deps/ta_regtest-test_per_hlc.Tpo .deps/ta_regtest-test_per_hlc.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_stoch.o -MD -MP -MF .deps/ta_regtest-test_stoch.Tpo -c -o ta_regtest-test_stoch.o `test -f 'ta_test_func/test_stoch.c' || echo './'`ta_test_func/test_stoch.c\n", "mv -f .deps/ta_regtest-test_stoch.Tpo .deps/ta_regtest-test_stoch.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_macd.o -MD -MP -MF .deps/ta_regtest-test_macd.Tpo -c -o ta_regtest-test_macd.o `test -f 'ta_test_func/test_macd.c' || echo './'`ta_test_func/test_macd.c\n", "mv -f .deps/ta_regtest-test_macd.Tpo .deps/ta_regtest-test_macd.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_minmax.o -MD -MP -MF .deps/ta_regtest-test_minmax.Tpo -c -o ta_regtest-test_minmax.o `test -f 'ta_test_func/test_minmax.c' || echo './'`ta_test_func/test_minmax.c\n", "mv -f .deps/ta_regtest-test_minmax.Tpo .deps/ta_regtest-test_minmax.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_per_hlcv.o -MD -MP -MF .deps/ta_regtest-test_per_hlcv.Tpo -c -o ta_regtest-test_per_hlcv.o `test -f 'ta_test_func/test_per_hlcv.c' || echo './'`ta_test_func/test_per_hlcv.c\n", "mv -f .deps/ta_regtest-test_per_hlcv.Tpo .deps/ta_regtest-test_per_hlcv.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_1in_1out.o -MD -MP -MF .deps/ta_regtest-test_1in_1out.Tpo -c -o ta_regtest-test_1in_1out.o `test -f 'ta_test_func/test_1in_1out.c' || echo './'`ta_test_func/test_1in_1out.c\n", "mv -f .deps/ta_regtest-test_1in_1out.Tpo .deps/ta_regtest-test_1in_1out.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_1in_2out.o -MD -MP -MF .deps/ta_regtest-test_1in_2out.Tpo -c -o ta_regtest-test_1in_2out.o `test -f 'ta_test_func/test_1in_2out.c' || echo './'`ta_test_func/test_1in_2out.c\n", "mv -f .deps/ta_regtest-test_1in_2out.Tpo .deps/ta_regtest-test_1in_2out.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_per_ohlc.o -MD -MP -MF .deps/ta_regtest-test_per_ohlc.Tpo -c -o ta_regtest-test_per_ohlc.o `test -f 'ta_test_func/test_per_ohlc.c' || echo './'`ta_test_func/test_per_ohlc.c\n", "mv -f .deps/ta_regtest-test_per_ohlc.Tpo .deps/ta_regtest-test_per_ohlc.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_stddev.o -MD -MP -MF .deps/ta_regtest-test_stddev.Tpo -c -o ta_regtest-test_stddev.o `test -f 'ta_test_func/test_stddev.c' || echo './'`ta_test_func/test_stddev.c\n", "mv -f .deps/ta_regtest-test_stddev.Tpo .deps/ta_regtest-test_stddev.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_bbands.o -MD -MP -MF .deps/ta_regtest-test_bbands.Tpo -c -o ta_regtest-test_bbands.o `test -f 'ta_test_func/test_bbands.c' || echo './'`ta_test_func/test_bbands.c\n", "mv -f .deps/ta_regtest-test_bbands.Tpo .deps/ta_regtest-test_bbands.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_ma.o -MD -MP -MF .deps/ta_regtest-test_ma.Tpo -c -o ta_regtest-test_ma.o `test -f 'ta_test_func/test_ma.c' || echo './'`ta_test_func/test_ma.c\n", "mv -f .deps/ta_regtest-test_ma.Tpo .deps/ta_regtest-test_ma.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_po.o -MD -MP -MF .deps/ta_regtest-test_po.Tpo -c -o ta_regtest-test_po.o `test -f 'ta_test_func/test_po.c' || echo './'`ta_test_func/test_po.c\n", "mv -f .deps/ta_regtest-test_po.Tpo .deps/ta_regtest-test_po.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_per_hl.o -MD -MP -MF .deps/ta_regtest-test_per_hl.Tpo -c -o ta_regtest-test_per_hl.o `test -f 'ta_test_func/test_per_hl.c' || echo './'`ta_test_func/test_per_hl.c\n", "mv -f .deps/ta_regtest-test_per_hl.Tpo .deps/ta_regtest-test_per_hl.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_trange.o -MD -MP -MF .deps/ta_regtest-test_trange.Tpo -c -o ta_regtest-test_trange.o `test -f 'ta_test_func/test_trange.c' || echo './'`ta_test_func/test_trange.c\n", "mv -f .deps/ta_regtest-test_trange.Tpo .deps/ta_regtest-test_trange.Po\n", "gcc -DHAVE_CONFIG_H -I. -I../../../include -I../../ta_func -I../../ta_common/trio -I../../ta_common/mt -I../../ta_common -I../../ta_abstract -g -O2 -MT ta_regtest-test_internals.o -MD -MP -MF .deps/ta_regtest-test_internals.Tpo -c -o ta_regtest-test_internals.o `test -f 'test_internals.c' || echo './'`test_internals.c\n", "mv -f .deps/ta_regtest-test_internals.Tpo .deps/ta_regtest-test_internals.Po\n", "/bin/bash ../../../libtool --tag=CC --mode=link gcc -g -O2 -L../.. -lta_lib -lm -o ta_regtest ta_regtest-ta_regtest.o ta_regtest-test_data.o ta_regtest-test_util.o ta_regtest-test_abstract.o ta_regtest-test_adx.o ta_regtest-test_mom.o ta_regtest-test_sar.o ta_regtest-test_rsi.o ta_regtest-test_candlestick.o ta_regtest-test_per_ema.o ta_regtest-test_per_hlc.o ta_regtest-test_stoch.o ta_regtest-test_macd.o ta_regtest-test_minmax.o ta_regtest-test_per_hlcv.o ta_regtest-test_1in_1out.o ta_regtest-test_1in_2out.o ta_regtest-test_per_ohlc.o ta_regtest-test_stddev.o ta_regtest-test_bbands.o ta_regtest-test_ma.o ta_regtest-test_po.o ta_regtest-test_per_hl.o ta_regtest-test_trange.o ta_regtest-test_internals.o -lpthread -ldl \n", "mkdir .libs\n", "gcc -g -O2 -o .libs/ta_regtest ta_regtest-ta_regtest.o ta_regtest-test_data.o ta_regtest-test_util.o ta_regtest-test_abstract.o ta_regtest-test_adx.o ta_regtest-test_mom.o ta_regtest-test_sar.o ta_regtest-test_rsi.o ta_regtest-test_candlestick.o ta_regtest-test_per_ema.o ta_regtest-test_per_hlc.o ta_regtest-test_stoch.o ta_regtest-test_macd.o ta_regtest-test_minmax.o ta_regtest-test_per_hlcv.o ta_regtest-test_1in_1out.o ta_regtest-test_1in_2out.o ta_regtest-test_per_ohlc.o ta_regtest-test_stddev.o ta_regtest-test_bbands.o ta_regtest-test_ma.o ta_regtest-test_po.o ta_regtest-test_per_hl.o ta_regtest-test_trange.o ta_regtest-test_internals.o -L/content/ta-lib/src /content/ta-lib/src/.libs/libta_lib.so -lm -lpthread -ldl\n", "creating ta_regtest\n", "make[2]: Leaving directory '/content/ta-lib/src/tools/ta_regtest'\n", "make[2]: Entering directory '/content/ta-lib/src/tools'\n", "make[2]: Nothing to be done for 'all-am'.\n", "make[2]: Leaving directory '/content/ta-lib/src/tools'\n", "make[1]: Leaving directory '/content/ta-lib/src/tools'\n", "make[1]: Entering directory '/content/ta-lib'\n", "make[1]: Nothing to be done for 'all-am'.\n", "make[1]: Leaving directory '/content/ta-lib'\n", "Making install in src\n", "make[1]: Entering directory '/content/ta-lib/src'\n", "Making install in ta_abstract\n", "make[2]: Entering directory '/content/ta-lib/src/ta_abstract'\n", "make[3]: Entering directory '/content/ta-lib/src/ta_abstract'\n", "make[3]: Nothing to be done for 'install-exec-am'.\n", "test -z \"/usr/include/ta-lib/\" || /usr/bin/mkdir -p \"/usr/include/ta-lib/\"\n", " /usr/bin/install -c -m 644 '../../include/ta_defs.h' '/usr/include/ta-lib//ta_defs.h'\n", " /usr/bin/install -c -m 644 '../../include/ta_libc.h' '/usr/include/ta-lib//ta_libc.h'\n", " /usr/bin/install -c -m 644 '../../include/ta_abstract.h' '/usr/include/ta-lib//ta_abstract.h'\n", "make[3]: Leaving directory '/content/ta-lib/src/ta_abstract'\n", "make[2]: Leaving directory '/content/ta-lib/src/ta_abstract'\n", "Making install in ta_common\n", "make[2]: Entering directory '/content/ta-lib/src/ta_common'\n", "make[3]: Entering directory '/content/ta-lib/src/ta_common'\n", "make[3]: Nothing to be done for 'install-exec-am'.\n", "test -z \"/usr/include/ta-lib/\" || /usr/bin/mkdir -p \"/usr/include/ta-lib/\"\n", " /usr/bin/install -c -m 644 '../../include/ta_defs.h' '/usr/include/ta-lib//ta_defs.h'\n", " /usr/bin/install -c -m 644 '../../include/ta_libc.h' '/usr/include/ta-lib//ta_libc.h'\n", " /usr/bin/install -c -m 644 '../../include/ta_common.h' '/usr/include/ta-lib//ta_common.h'\n", "make[3]: Leaving directory '/content/ta-lib/src/ta_common'\n", "make[2]: Leaving directory '/content/ta-lib/src/ta_common'\n", "Making install in ta_func\n", "make[2]: Entering directory '/content/ta-lib/src/ta_func'\n", "make[3]: Entering directory '/content/ta-lib/src/ta_func'\n", "make[3]: Nothing to be done for 'install-exec-am'.\n", "test -z \"/usr/include/ta-lib/\" || /usr/bin/mkdir -p \"/usr/include/ta-lib/\"\n", " /usr/bin/install -c -m 644 '../../include/ta_defs.h' '/usr/include/ta-lib//ta_defs.h'\n", " /usr/bin/install -c -m 644 '../../include/ta_libc.h' '/usr/include/ta-lib//ta_libc.h'\n", " /usr/bin/install -c -m 644 '../../include/ta_func.h' '/usr/include/ta-lib//ta_func.h'\n", "make[3]: Leaving directory '/content/ta-lib/src/ta_func'\n", "make[2]: Leaving directory '/content/ta-lib/src/ta_func'\n", "make[2]: Entering directory '/content/ta-lib/src'\n", "make[3]: Entering directory '/content/ta-lib/src'\n", "test -z \"/usr/lib\" || /usr/bin/mkdir -p \"/usr/lib\"\n", " /bin/bash ../libtool --mode=install /usr/bin/install -c 'libta_lib.la' '/usr/lib/libta_lib.la'\n", "/usr/bin/install -c .libs/libta_lib.so.0.0.0 /usr/lib/libta_lib.so.0.0.0\n", "(cd /usr/lib && { ln -s -f libta_lib.so.0.0.0 libta_lib.so.0 || { rm -f libta_lib.so.0 && ln -s libta_lib.so.0.0.0 libta_lib.so.0; }; })\n", "(cd /usr/lib && { ln -s -f libta_lib.so.0.0.0 libta_lib.so || { rm -f libta_lib.so && ln -s libta_lib.so.0.0.0 libta_lib.so; }; })\n", "/usr/bin/install -c .libs/libta_lib.lai /usr/lib/libta_lib.la\n", "/usr/bin/install -c .libs/libta_lib.a /usr/lib/libta_lib.a\n", "chmod 644 /usr/lib/libta_lib.a\n", "ranlib /usr/lib/libta_lib.a\n", "PATH=\"$PATH:/sbin\" ldconfig -n /usr/lib\n", "----------------------------------------------------------------------\n", "Libraries have been installed in:\n", " /usr/lib\n", "\n", "If you ever happen to want to link against installed libraries\n", "in a given directory, LIBDIR, you must either use libtool, and\n", "specify the full pathname of the library, or use the `-LLIBDIR'\n", "flag during linking and do at least one of the following:\n", " - add LIBDIR to the `LD_LIBRARY_PATH' environment variable\n", " during execution\n", " - add LIBDIR to the `LD_RUN_PATH' environment variable\n", " during linking\n", " - use the `-Wl,--rpath -Wl,LIBDIR' linker flag\n", " - have your system administrator add LIBDIR to `/etc/ld.so.conf'\n", "\n", "See any operating system documentation about shared libraries for\n", "more information, such as the ld(1) and ld.so(8) manual pages.\n", "----------------------------------------------------------------------\n", "make[3]: Nothing to be done for 'install-data-am'.\n", "make[3]: Leaving directory '/content/ta-lib/src'\n", "make[2]: Leaving directory '/content/ta-lib/src'\n", "make[1]: Leaving directory '/content/ta-lib/src'\n", "Making install in src/tools\n", "make[1]: Entering directory '/content/ta-lib/src/tools'\n", "Making install in gen_code\n", "make[2]: Entering directory '/content/ta-lib/src/tools/gen_code'\n", "make gen_code\n", "make[3]: Entering directory '/content/ta-lib/src/tools/gen_code'\n", "make[3]: 'gen_code' is up to date.\n", "make[3]: Leaving directory '/content/ta-lib/src/tools/gen_code'\n", "cp gen_code ../../../bin\n", "make[3]: Entering directory '/content/ta-lib/src/tools/gen_code'\n", "make[3]: Nothing to be done for 'install-exec-am'.\n", "make[3]: Nothing to be done for 'install-data-am'.\n", "make[3]: Leaving directory '/content/ta-lib/src/tools/gen_code'\n", "make[2]: Leaving directory '/content/ta-lib/src/tools/gen_code'\n", "Making install in ta_regtest\n", "make[2]: Entering directory '/content/ta-lib/src/tools/ta_regtest'\n", "make[3]: Entering directory '/content/ta-lib/src/tools/ta_regtest'\n", "make[3]: Nothing to be done for 'install-exec-am'.\n", "make[3]: Nothing to be done for 'install-data-am'.\n", "make[3]: Leaving directory '/content/ta-lib/src/tools/ta_regtest'\n", "make[2]: Leaving directory '/content/ta-lib/src/tools/ta_regtest'\n", "make[2]: Entering directory '/content/ta-lib/src/tools'\n", "make[3]: Entering directory '/content/ta-lib/src/tools'\n", "make[3]: Nothing to be done for 'install-exec-am'.\n", "make[3]: Nothing to be done for 'install-data-am'.\n", "make[3]: Leaving directory '/content/ta-lib/src/tools'\n", "make[2]: Leaving directory '/content/ta-lib/src/tools'\n", "make[1]: Leaving directory '/content/ta-lib/src/tools'\n", "make[1]: Entering directory '/content/ta-lib'\n", "make[2]: Entering directory '/content/ta-lib'\n", "test -z \"/usr/bin\" || /usr/bin/mkdir -p \"/usr/bin\"\n", " /usr/bin/install -c 'ta-lib-config' '/usr/bin/ta-lib-config'\n", "make[2]: Nothing to be done for 'install-data-am'.\n", "make[2]: Leaving directory '/content/ta-lib'\n", "make[1]: Leaving directory '/content/ta-lib'\n", "/content\n", "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Collecting ta-lib\n", " Downloading TA-Lib-0.4.25.tar.gz (271 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m272.0/272.0 KB\u001b[0m \u001b[31m19.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", "Requirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from ta-lib) (1.22.4)\n", "Building wheels for collected packages: ta-lib\n", " Building wheel for ta-lib (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for ta-lib: filename=TA_Lib-0.4.25-cp39-cp39-linux_x86_64.whl size=2261143 sha256=ed964645c65d6086de1757aa67c6d53463f428baba6e4f5662cd808a2a00ff09\n", " Stored in directory: /root/.cache/pip/wheels/a4/1e/ce/8f22bc445ab10758bc4e6babe45f688e199d3a1c6e7d28d32e\n", "Successfully built ta-lib\n", "Installing collected packages: ta-lib\n", "Successfully installed ta-lib-0.4.25\n" ] } ], "source": [ "!curl -L http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz -O && tar xzvf ta-lib-0.4.0-src.tar.gz\n", "!cd ta-lib && ./configure --prefix=/usr && make && make install && cd - && pip install ta-lib" ] }, { "cell_type": "code", "source": [ "!pip install yfinance # para cargar la librería de Yahoo finance en el entorno de Colab" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EZIRgRX9lujZ", "outputId": "10733c2c-d852-4404-8eeb-2d484ff585f2" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Collecting yfinance\n", " Downloading yfinance-0.2.13-py2.py3-none-any.whl (59 kB)\n", "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/59.3 KB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.3/59.3 KB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.9/dist-packages (from yfinance) (1.22.4)\n", "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.9/dist-packages (from yfinance) (4.11.2)\n", "Requirement already satisfied: lxml>=4.9.1 in /usr/local/lib/python3.9/dist-packages (from yfinance) (4.9.2)\n", "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.9/dist-packages (from yfinance) (1.4.4)\n", "Requirement already satisfied: appdirs>=1.4.4 in /usr/local/lib/python3.9/dist-packages (from yfinance) (1.4.4)\n", "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.9/dist-packages (from yfinance) (1.1)\n", "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.9/dist-packages (from yfinance) (0.0.11)\n", "Collecting frozendict>=2.3.4\n", " Downloading frozendict-2.3.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.3/114.3 KB\u001b[0m \u001b[31m14.9 MB/s\u001b[0m eta 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satisfied: webencodings in /usr/local/lib/python3.9/dist-packages (from html5lib>=1.1->yfinance) (0.5.1)\n", "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.9/dist-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n", "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26->yfinance) (2.0.12)\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26->yfinance) (1.26.15)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26->yfinance) (2022.12.7)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests>=2.26->yfinance) (3.4)\n", "Requirement already satisfied: pycparser in /usr/local/lib/python3.9/dist-packages (from cffi>=1.12->cryptography>=3.3.2->yfinance) (2.21)\n", "Installing collected packages: frozendict, cryptography, yfinance\n", "Successfully installed cryptography-39.0.2 frozendict-2.3.6 yfinance-0.2.13\n" ] } ] }, { "cell_type": "code", "source": [ "import talib as ta # importamos la librería con el alias ta\n", "import numpy as np\n", "import matplotlib.pyplot as plt # importamos pyplot de la librería matplotlib con el alias plt\n", "import yfinance as yf # importamos la librería de Yahoo finance con el alias yf" ], "metadata": { "id": "V-b2efiol2Oe" }, "execution_count": 9, "outputs": [] }, { "cell_type": "code", "source": [ "msft = yf.Ticker(\"MSFT\")\n", "\n", "# Obtener información de mercado de un ticker concreto\n", "msft.info # información sobre Microsoft Corporation" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 352 }, "id": "4mEkMroRmT-H", "outputId": "0c282e6c-a23a-4553-d95a-ba85eceeadf6" }, "execution_count": 4, "outputs": [ { "output_type": "error", "ename": "Exception", "evalue": "ignored", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mException\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# Obtener información de mercado de un ticker concreto\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mmsft\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m \u001b[0;31m# información sobre Microsoft Corporation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/yfinance/ticker.py\u001b[0m in \u001b[0;36minfo\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 137\u001b[0m \u001b[0;32mdef\u001b[0m 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\u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;31m# copy over the lru_cache extra methods to this wrapper to be able to access them\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/yfinance/data.py\u001b[0m in \u001b[0;36mget_json_data_stores\u001b[0;34m(self, sub_page, proxy)\u001b[0m\n\u001b[1;32m 309\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 310\u001b[0m \u001b[0;31m# Decrypt!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m \u001b[0mstores\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdecrypt_cryptojs_aes_stores\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 312\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mstores\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 313\u001b[0m \u001b[0;31m# Maybe Yahoo returned old format, not encrypted\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/yfinance/data.py\u001b[0m in \u001b[0;36mdecrypt_cryptojs_aes_stores\u001b[0;34m(data, keys)\u001b[0m\n\u001b[1;32m 160\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 161\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msuccess\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 162\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"yfinance failed to decrypt Yahoo data response\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0mdecoded_stores\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplaintext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mException\u001b[0m: yfinance failed to decrypt Yahoo data response" ] } ] }, { "cell_type": "code", "source": [ "# get historical market data\n", "hist = msft.history(period=\"max\")\n", "print(hist)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FLTo4MDNmsVN", "outputId": "02bfa6bc-8d53-47a4-8151-9879ea492a5c" }, "execution_count": 5, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Open High Low Close \\\n", "Date \n", "1986-03-13 00:00:00-05:00 0.055241 0.063365 0.055241 0.060657 \n", "1986-03-14 00:00:00-05:00 0.060657 0.063907 0.060657 0.062823 \n", "1986-03-17 00:00:00-05:00 0.062823 0.064448 0.062823 0.063907 \n", "1986-03-18 00:00:00-05:00 0.063907 0.064448 0.061740 0.062281 \n", "1986-03-19 00:00:00-05:00 0.062281 0.062823 0.060657 0.061198 \n", "... ... ... ... ... \n", "2023-03-16 00:00:00-04:00 265.209991 276.559998 263.279999 276.200012 \n", "2023-03-17 00:00:00-04:00 278.260010 283.329987 276.320007 279.429993 \n", "2023-03-20 00:00:00-04:00 276.980011 277.480011 269.850006 272.230011 \n", "2023-03-21 00:00:00-04:00 274.880005 275.000000 269.519989 273.779999 \n", "2023-03-22 00:00:00-04:00 273.399994 279.989990 272.630005 277.079987 \n", "\n", " Volume Dividends Stock Splits \n", "Date \n", "1986-03-13 00:00:00-05:00 1031788800 0.0 0.0 \n", "1986-03-14 00:00:00-05:00 308160000 0.0 0.0 \n", "1986-03-17 00:00:00-05:00 133171200 0.0 0.0 \n", "1986-03-18 00:00:00-05:00 67766400 0.0 0.0 \n", "1986-03-19 00:00:00-05:00 47894400 0.0 0.0 \n", "... ... ... ... \n", "2023-03-16 00:00:00-04:00 54768800 0.0 0.0 \n", "2023-03-17 00:00:00-04:00 69492200 0.0 0.0 \n", "2023-03-20 00:00:00-04:00 43466600 0.0 0.0 \n", "2023-03-21 00:00:00-04:00 34531100 0.0 0.0 \n", "2023-03-22 00:00:00-04:00 19960716 0.0 0.0 \n", "\n", "[9332 rows x 7 columns]\n" ] } ] }, { "cell_type": "code", "source": [ "# show news\n", "msft.news" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ywwQuO6KnIAO", "outputId": "6ce56c3d-3363-49be-b505-cf9acb574aa4" }, "execution_count": 6, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "[{'uuid': '9eb1cbe4-5d29-3f35-aaed-e74e2600f2e1',\n", " 'title': 'Bill Gates Says AI Is the Most Revolutionary Technology in Decades',\n", " 'publisher': 'The Wall Street Journal',\n", " 'link': 'https://finance.yahoo.com/m/9eb1cbe4-5d29-3f35-aaed-e74e2600f2e1/bill-gates-says-ai-is-the.html',\n", " 'providerPublishTime': 1679509440,\n", " 'type': 'STORY',\n", " 'thumbnail': {'resolutions': [{'url': 'https://s.yimg.com/uu/api/res/1.2/HOUs7kcT_drMk7BxXKwzLA--~B/aD02NDA7dz0xMjgwO2FwcGlkPXl0YWNoeW9u/https://media.zenfs.com/en/wsj.com/11d4fe54f09d0d0022c6883f9d921e8e',\n", " 'width': 1280,\n", " 'height': 640,\n", " 'tag': 'original'},\n", " {'url': 'https://s.yimg.com/uu/api/res/1.2/.DrvCwkn2YDhHFMjUoJ8oQ--~B/Zmk9ZmlsbDtoPTE0MDtweW9mZj0wO3c9MTQwO2FwcGlkPXl0YWNoeW9u/https://media.zenfs.com/en/wsj.com/11d4fe54f09d0d0022c6883f9d921e8e',\n", " 'width': 140,\n", " 'height': 140,\n", " 'tag': '140x140'}]},\n", " 'relatedTickers': ['MSFT']},\n", " {'uuid': 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'1953901f-78c7-3b93-87ae-24a3ce639a59',\n", " 'title': '13 Habits That Helped Bill Gates Build His $106 Billion Fortune',\n", " 'publisher': 'GOBankingRates',\n", " 'link': 'https://finance.yahoo.com/news/13-habits-helped-bill-gates-120014069.html',\n", " 'providerPublishTime': 1679507369,\n", " 'type': 'STORY',\n", " 'thumbnail': {'resolutions': [{'url': 'https://s.yimg.com/uu/api/res/1.2/1Mo.dQQuvIs89tyD8du2pg--~B/aD0xMDgwO3c9MTkyMDthcHBpZD15dGFjaHlvbg--/https://media.zenfs.com/en/gobankingrates_644/d0d9f2a829cb82357b0c510982452de3',\n", " 'width': 1920,\n", " 'height': 1080,\n", " 'tag': 'original'},\n", " {'url': 'https://s.yimg.com/uu/api/res/1.2/3kS7gk9FmxQGjS71C9u1ow--~B/Zmk9ZmlsbDtoPTE0MDtweW9mZj0wO3c9MTQwO2FwcGlkPXl0YWNoeW9u/https://media.zenfs.com/en/gobankingrates_644/d0d9f2a829cb82357b0c510982452de3',\n", " 'width': 140,\n", " 'height': 140,\n", " 'tag': '140x140'}]},\n", " 'relatedTickers': ['MSFT']},\n", " {'uuid': 'c845979c-d872-3f6f-b734-0f51ffb7b947',\n", " 'title': 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'https://s.yimg.com/uu/api/res/1.2/lTE6lcov3UoqozTf0kHnZg--~B/Zmk9ZmlsbDtoPTE0MDtweW9mZj0wO3c9MTQwO2FwcGlkPXl0YWNoeW9u/https://media.zenfs.com/en/insidermonkey.com/edb6ede3d2716924716f10391997f5b7',\n", " 'width': 140,\n", " 'height': 140,\n", " 'tag': '140x140'}]},\n", " 'relatedTickers': ['DIS', 'SPGI', 'CRM', 'MSFT', 'JPM']},\n", " {'uuid': 'aba3d9e5-caaa-3f84-a0b9-b46f37d67799',\n", " 'title': 'Publishers Prepare for Showdown With Microsoft, Google Over AI Tools',\n", " 'publisher': 'The Wall Street Journal',\n", " 'link': 'https://finance.yahoo.com/m/aba3d9e5-caaa-3f84-a0b9-b46f37d67799/publishers-prepare-for.html',\n", " 'providerPublishTime': 1679501700,\n", " 'type': 'STORY',\n", " 'thumbnail': {'resolutions': [{'url': 'https://s.yimg.com/uu/api/res/1.2/_vgVIKCuwbl8KCT5xMJydg--~B/aD02NDA7dz0xMjgwO2FwcGlkPXl0YWNoeW9u/https://media.zenfs.com/en/wsj.com/dd8f72bb3308a0624f8bc915c6843be7',\n", " 'width': 1280,\n", " 'height': 640,\n", " 'tag': 'original'},\n", " {'url': 'https://s.yimg.com/uu/api/res/1.2/h9YzSqH9HDqLCR1diZxlPQ--~B/Zmk9ZmlsbDtoPTE0MDtweW9mZj0wO3c9MTQwO2FwcGlkPXl0YWNoeW9u/https://media.zenfs.com/en/wsj.com/dd8f72bb3308a0624f8bc915c6843be7',\n", " 'width': 140,\n", " 'height': 140,\n", " 'tag': '140x140'}]},\n", " 'relatedTickers': ['NWS',\n", " 'NWSA',\n", " 'NWSAL',\n", " 'META',\n", " 'GOOG',\n", " 'GOOGL',\n", " 'MSFT',\n", " 'SSTK']}]" ] }, "metadata": {}, "execution_count": 6 } ] }, { "cell_type": "code", "source": [ "# mostrar los resultados\n", "msft.earnings" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 334 }, "id": "X1q4Li7tnPBq", "outputId": "66bf4bb6-6b4d-47ba-f4e8-ba1f6b53f547" }, "execution_count": 7, "outputs": [ { "output_type": "error", "ename": "Exception", "evalue": "ignored", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mException\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# mostrar los resultados\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmsft\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mearnings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/yfinance/ticker.py\u001b[0m in \u001b[0;36mearnings\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 148\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mearnings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0m_pd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 150\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_earnings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 151\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/yfinance/base.py\u001b[0m in \u001b[0;36mget_earnings\u001b[0;34m(self, proxy, as_dict, freq)\u001b[0m\n\u001b[1;32m 1548\u001b[0m \"\"\"\n\u001b[1;32m 1549\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fundamentals\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mproxy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mproxy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1550\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m 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proxy)\u001b[0m\n\u001b[1;32m 309\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 310\u001b[0m \u001b[0;31m# Decrypt!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m \u001b[0mstores\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdecrypt_cryptojs_aes_stores\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 312\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mstores\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 313\u001b[0m \u001b[0;31m# Maybe Yahoo returned old format, not encrypted\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/yfinance/data.py\u001b[0m in \u001b[0;36mdecrypt_cryptojs_aes_stores\u001b[0;34m(data, keys)\u001b[0m\n\u001b[1;32m 160\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 161\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msuccess\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 162\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"yfinance failed to decrypt Yahoo data response\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0mdecoded_stores\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplaintext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mException\u001b[0m: yfinance failed to decrypt Yahoo data response" ] } ] }, { "cell_type": "code", "source": [ "# mostrar los resultados trimestrales\n", "msft.quarterly_earnings" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 105 }, "id": "Coej5X2MnlqD", "outputId": "a123a6ce-4a32-4c98-b4f6-f28532c8de2a" }, "execution_count": 8, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Empty DataFrame\n", "Columns: []\n", "Index: []" ], "text/html": [ "\n", "
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\n", " " ] }, "metadata": {}, "execution_count": 8 } ] }, { "cell_type": "markdown", "source": [ "## Gráficos: Bayesian Methods for Hackers\n", "Uno de los estilos de gráficos de la librería matplotlib es: \n", "[Bayesian Methods for Hackers style sheet](https://matplotlib.org/stable/gallery/style_sheets/bmh.html?highlight=bmh)" ], "metadata": { "id": "Sz0MShUCocW9" } }, { "cell_type": "code", "source": [ "np.random.seed() # barajamos la serie de aleatorios\n", "\n", "plt.style.use('bmh') # establecemos este estilo de gráficos" ], "metadata": { "id": "YWi4pG63pJ0p" }, "execution_count": 10, "outputs": [] }, { "cell_type": "code", "source": [ "def plot_beta_hist(ax, a, b):\n", " ax.hist(np.random.beta(a, b, size=100000),\n", " histtype=\"stepfilled\", bins=100, alpha=0.8, density=True)\n", "\n", "\n", "fig, ax = plt.subplots()\n", "plot_beta_hist(ax, 10, 10)\n", "plot_beta_hist(ax, 4, 12)\n", "plot_beta_hist(ax, 50, 12)\n", "plot_beta_hist(ax, 6, 55)\n", "ax.set_title(\"'bmh' style sheet\")\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 279 }, "id": "LHVL24Xvpsss", "outputId": "a6a3a665-f575-447e-8b1b-e33bddccfe1b" }, "execution_count": 12, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "# Ticker de Apple AAPL\n", "\n", "aapl = yf.download('AAPL', start='2019-1-1', end='2023-3-22' )\n", "print(aapl)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "4_1znp5mqUOX", "outputId": "1dcc2f40-3c1b-49d5-c5f0-ab0307f39be0" }, "execution_count": 14, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\r[*********************100%***********************] 1 of 1 completed\n", " Open High Low Close Adj Close \\\n", "Date \n", "2019-01-02 38.722500 39.712502 38.557499 39.480000 38.047043 \n", "2019-01-03 35.994999 36.430000 35.500000 35.547501 34.257282 \n", "2019-01-04 36.132500 37.137501 35.950001 37.064999 35.719700 \n", "2019-01-07 37.174999 37.207500 36.474998 36.982498 35.640190 \n", "2019-01-08 37.389999 37.955002 37.130001 37.687500 36.319607 \n", "... ... ... ... ... ... \n", "2023-03-15 151.190002 153.250000 149.919998 152.990005 152.990005 \n", "2023-03-16 152.160004 156.460007 151.639999 155.850006 155.850006 \n", "2023-03-17 156.080002 156.740005 154.279999 155.000000 155.000000 \n", "2023-03-20 155.070007 157.820007 154.149994 157.399994 157.399994 \n", "2023-03-21 157.320007 159.399994 156.539993 159.279999 159.279999 \n", "\n", " Volume \n", "Date \n", "2019-01-02 148158800 \n", "2019-01-03 365248800 \n", "2019-01-04 234428400 \n", "2019-01-07 219111200 \n", "2019-01-08 164101200 \n", "... ... \n", "2023-03-15 77167900 \n", "2023-03-16 76161100 \n", "2023-03-17 98862500 \n", "2023-03-20 73641400 \n", "2023-03-21 73868900 \n", "\n", "[1062 rows x 6 columns]\n" ] } ] }, { "cell_type": "markdown", "source": [ "### Media Móvil\n", "* SMA → media móvil estandar\n", "* EMA → media móvil exponencial " ], "metadata": { "id": "bApPwrl8qvEo" } }, { "cell_type": "code", "source": [ "# la media movil estandar es SMA, a usaremos de 21 periodos\n", "aapl['SMA'] = ta.SMA(aapl.Close.values, 21) # también se puede poner ta.SMA(aapl['Close'])\n", "\n", "# la media movil exponencial se llama EMA, la pondremos de 55 periodos\n", "aapl['EMA'] = ta.EMA(aapl.Close.values, 55)\n", "\n", "# plot\n", "aapl[['Close', 'SMA', 'EMA']].plot(figsize=(15, 15))\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 815 }, "id": "2fN0mpJeqwEH", "outputId": "38afd4e8-4fcc-4cb2-84b2-f126d3c854c7" }, "execution_count": 15, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "### Bandas de Bollinger\n", "[Bollinger Band](https://www.investopedia.com/terms/b/bollingerbands.asp)" ], "metadata": { "id": "jKx10Db_rQ9c" } }, { "cell_type": "code", "source": [ "aapl['upper_band'], aapl['middle_band'], aapl['lower_band'] = ta.BBANDS(aapl['Close'], timeperiod=20)\n", "aapl[['Close', 'upper_band', 'middle_band', 'lower_band']].plot(figsize=(15, 15))\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 815 }, "id": "hBC9wNAvrR_e", "outputId": "1a813a4d-7d3d-461a-d4f1-c0061a82c20c" }, "execution_count": 16, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "### RSI\n", "[RSI](https://www.investopedia.com/terms/r/rsi.asp)" ], "metadata": { "id": "4aGIXkkorz0k" } }, { "cell_type": "code", "source": [ "aapl['RSI'] = ta.RSI(aapl.Close, 14)\n", "aapl['RSI'].plot(figsize=(15, 15))\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 815 }, "id": "YSsw1VtOr1ER", "outputId": "3aa6e762-8ca5-45e3-bffd-a752bdacedb4" }, "execution_count": 17, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" 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