Introducción.
Hoy os presento una práctica nueva que consiste en implementar un intérprete de instrucciones del lenguaje de programación
BASIC. La práctica la tuve que realizar para la asignatura «Tecnología de Objetos» de la ingeniera superior y la comparto con todos vosotros porque es un ejercicio completo y, de necesitar algo similar, lo más seguro es que os inspire u os sirva para compararla con vuestra solución ya implementada.
Es importante resaltar dos aspectos. Primero: se trata de un intérprete y no de un compilador, por lo que los programas BASIC utilizados serán intepretados ejecutando una tras otra cada instrucción del programa. Segundo: se trabaja sobre un lenguaje BASIC reducido ya que el lenguaje original posee multitud de tipos de datos y de instrucciones. El tipo de dato con que trabajar será el de los enteros y las sentencias a implementar serán REM, DIM, LET, PRINT, INPUT y GOTO. De todas formas, se requiere diseñar el intérprete de forma que sea fácilmente extensible a nuevos tipos de datos (como números fraccionales y cadenas de caracteres) así como a nuevas intrucciones (saltos condicionales, bucles, etc…).
Consideraciones.
A la hora de abordar la práctica surgen una serie de aspectos que dejan cierta libertad al programador, por lo que se especifican todos ellos para aclarar el enfoque utilizado y no irse por las ramas:
- Todas las etiquetas e identificadores siguen la regla de identificadores de la gramática [a-z]+. Por lo que las etiquetas comienzan por dos puntos (:) seguidos de una o más letras minúsculas y los identificadores de variable serán de al menos de una letra minúscula. Ejemplos de etiquetas e identificadores válidos:
:etiqueta
:bucle
:otraetiqueta
variable
variableuno
Ejemplos de identificadores no válidos:
: etiqueta
:BUCLE
:otra etiqueta
_variable
variable1
- Las expresiones tras una expresión de asignación en una instrucción LET pueden concatenarse con los operadores ariméticos (+, –, * y /) y aunque no se haga uso de paréntesis las operaciones son asociativas por la izquierda sin que exista prioridad de operadores. Es decir; se irá operando con todos los operadores comenzando por la izquierda con los dos primeros operandos (no existen operadores unarios) y ese resultado, se utilizará con el siguiente operador y operando y así sucesivamente. Ejemplo:
LET var = 5 + 7 * 2
REM Almacenará en var el valor 24 (5+7=12 y 12*2=24)
- Las expresiones soportan tanto valores explícitos enteros como identificadores de variables declaradas e inicializadas previamente. Si se opera con una variable declarada pero sin inicializar se obtendrá un error en tiempo de ejecución y el intérprete abortará su ejecución.
- Los programas BASIC escritos se guardarán en un fichero de texto plano con extensión .BAS o .bas para pasarlos como argumento al programa intérprete. Debe de ser un programa válido sino se indicarán los errores durante el proceso de análisis.
- Las sentencias no soportan espaciados inútiles. Esto significa que un fichero correcto no contendrá tabulaciones al principio ni espacioes en blanco tanto al principio de una instrucción como al final de la misma en una línea. El analizador también considerará como un error si separando los componentes de una instrucción (como entre un identificador y un operador) hay más de un espacio.
- El proceso de interpretación será sencillo: se vuelca todo el contenido del fichero del código fuente, se analiza la primera línea para luego ejecutar la instrucción obtenida y después se analiza la segunda línea ejecutándola a continuación de la primera y así sucesivamente.
- Las instrucciones de salto incondicional GOTO se ejecutan una única vez. De esta forma se ejecutan de forma finita y se evitan los bucles infinitos que un usuario pueda hacer, ya que al ser un lenguaje interpretado sólo se puede saltar a una instrucción anterior, ya que una posterior sería desconocida (aún no se analizó).
Puesta en marcha; Uso del intérprete.
Para utilizar el intérprete de BASIC se ha de situar a través de la consola de comandos del sistema operativo en el directorio dónde se encuentre el ejecutable para trabajar con mayor comodidad. Para la demostración se utilizará un programa similar al presentado en el enunciado de la práctica, escrito con un editor de texto plano como Vim, Emacs o nano:
REM multiplica
DIM operandouno
DIM operandodos
DIM resultado
:bucle INPUT "Primer operando: ", operandouno
INPUT "Segundo operando: ", operandodos
LET resultado = operandouno * operandodos / 2
PRINT "Resultado: ", resultado
GOTO bucle
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Ilustración 1: Creación del código fuente de un programa BASIC con un editor de texto plano. |
El programa se guarda con un nombre significativo más la extensión .bas. Para el programa anterior se eligió el nombre programa.bas y se guardó en el mismo directorio que el ejecutable.
Para interpretar el programa es suficiente con ejecutar el binario del programa pasándole como primer y único argumento la ruta (relativa o absoluta) al fichero con código fuente BASIC y extensión .bas.
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) 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Ilustración 2: Ejecución correcta del intérprete BASIC. |
En el caso de no proporcionar un fichero fuente como parámetro o varios, se mostrará en el primero de los casos un error con las posibles causas y, en caso del segundo, una advertencia conforme se tomará como fichero fuente el primero de los argumentos y el resto se desecharán.
También saltará un error en caso de que la extensión del fichero fuente no sea la adecuada, independientemente del contenido.
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TrUqFho7/Ke7yDZ3KvncIHJoqy1aKgCgtmhlmtoewyBCEc6u27tPO9LZlvlBVXPOjp+0NvE22KzSWfj3Q1djYcJdTpfEKb/17+K05fP2/YXf5szuVDCGH2yuLNu4+1XmjsunJtC0n6w+nn8ieGHapqMvV8bjAULF6chhAaRCgbwmmfZ4UQZiM0iBBasWIFH4nMO0mSNBgMCCGj0UiS5OwMQncAqYtyc09frjDf6apYuSDCSwyAkJXyApLh9qb7nS3HruzLDVZ6AAD8CPWSfVeOt3Teb9wOkx24VUAP4X2E/m304WerdfOV7nKpWCSSynwiExau+eDCtfJTBt8gFQBgbox+7fn7t82XLhxdGxzoJQDAK5hM2WDYc7n17p13oSbQ0Tn+8Lc/tZ/bqY5UCgEQuSn9sz5ed/DOoz/0ImQgCBU9UuXvbfhsY9XnG+NV3iIBkMwhfDM+Ktpfa7l3mv3hiqfE//purOPC9qQoPwCAhzI4d9+VY03m+zfKYKKSGTmjRIIgOOZycRK6iN1CEiHbXDTk/JBjH67LiQ/xcgYSN+V05ZWJcNOt++Y7rHWMUi/de+VE99j9R6N0dHiGECuuo4oHY9fObFcTfvQb/Qj1jrPXxkYqUM0KItiTvynYNrHf5bOVp02hfev4w983IPQpQTjQKAMmJ/79Lx2Xd6UTARIAlCrVewbDewZDBEkC3l0+W3n7jfL0dWSUd8hz2AtEG99DGcxZILeAqKzP+99v/TMnOor3V/3T8BFUu4YTHa/+XL59iZ7h6SsOWUyWtjsXP8yMUsqcAQBOAEhVRHrhe0dUxOQC/fC3P/3OfOLirrwQPw8BANK5BNxwhh2zc2P0tCkuXtqnjgsSAiD3VtFZgjYFEerFVontEk4ARJDk5ooK2iUYt+dkudm5PZ9Am3EdGeX5wMeqPENbmQjzK9HB/rGa09ttOSEbOy7hEUTknkH7u/9cY/iNOno87/lGJm091/HHv/0X4yEByZCjmIcyeHb1hcH+Xh7PLt9qGeIEGuOrTH2x6qtsEXaig49EnrBdojCDCJILREKhLZew5fa08ek5/mEIbYhLmitMgnBXv/nuwcUwS+Q5V5gE4XsURUGoZfcJz7mOtESrNXSs7wC6kEeoPOiRTO61U/gYs1stCr6qGWoouwxBCPtN1MFFMMvFMyV6DUK//cMQok2REr0KoQcIdabkLHMotGdM0a84ff28YXf533//Pb3hZBWDwbB48WJ62OPHj1n/GfxywPLb3mvm6g8LlsQrFFII4dOnT6ddavDLAcu9hqNbSrNI0j8pKY7p8qd9cSLgdPkzSmTe+aLO5SOE4pJSfRNyizbv67pVWZia6A2AmJXykrXwepvl003FeYSfh8QFACBxU/oRecWbDlrarkNtMn+JWRDeReivf/qnql1vLlJHhPh7y8ViZ4mbwjcoKjE5MoGUyGQAADJdb2iwbN3yVmpckKtUBAAQyRWeweTKtzZ1tlVDnQMS6Tn+7smj9Xn6OW4SAQBCZ4l0bvTSNWXDXw0gZCKICHqkTCom54ckxYQoZGKhADiJ3STeRO6qd8yd9RCmOypx7MnDbflZfm4SAICLxMOPyCsuO2Bpvgozk5iRM0qMIgiOudylYhcnZ7mnD9tcNAp3eVyUykchFwmBk7NkuvLqTFjTYjlQxl5HP7+o3OKtxyw99+noCI4kaiyoc+jhprwspdv4bqLETZmVt+nhUCfqrCEigvmbgm0T+90hW3naFAkZS4a/6kGomSDCHJI1XpOePtpYkO3rLhUCIJHJIkgygiRdFQrwErr86evIKO+Q57AXSMl4ztQFUoUR55rv1/Y94kRH2oKCLwdbUfc1TnS8bl1+XKrOcMt8auumDYlRgW4SJwEAQACAk8xtTmB4nMxtcoF+9+TRvs0laZFKV4kLAMBJ7E5m5rFjlkzX06ZYUZAzx0MmAMBZLKOzBG0KIjKErRLbJQQAuCoUobGxtEswbs/JcrNzez6BNuM6MsrzgY9VeYa2OhNeMSPz/YdlS7NsOSEbOy4xL5y4RCFq4NHmPL1y4myhxM1Xl7/t4ZMxxkOStZCj2HjCdLy+MLyQLt9qGeIEGuOrTH0B1nyVLcJOdPCRyBO2S0R7u8mcgVBg0yVsuT1tfHqOXw2izOgYscATwhUWU+eaHDhXKBILPCF8g6IoCPXsPuE515GWaLWGPrxPIdNlImL8S2wm99opfIzZrRaFGWsouwxBCC0mak02nCsUxRKpCH351SCiTRFLaBAaQqh/cf4bDoU2zy7/laWvnzfP3eUPIvTl0wf3/u+ntcM3y/VRvlIhsNbljw97Sh0tyYwIEIO4aGK2Xb4ViS/WIBPuFQeAb2JqUaWxe8+mNQvifHw8xEzKgxB2UdQ6CP0BmDjpJgXAH8J1FNVlv+RziCeTT56v6ezsu3Hqi33vbnx73eq8RQuzIUxPSYyd5xXoIaTPYGdB2N3X92F5eS6E2azvNWbx40r0HIcRSiAIp2mvT4aW0EXi7hdNpqRnwawXIfEhQlqCmPjS3QUAfwhLKMoyeSkeEoNUwRxzLV+auxBCXbqGbS4gdAEuCve5wQkp6Vl6m8rT61gyZR0lAPhCuJZRjI6ORwhBgmDdtiMlCIjQo1k3i/a6Q4GTVeVn/XNO9BQeIKQhCKuH4l9wl29tHRnlHfUcZoEmjO/CWSD6g9+T0VFOdNiS+Lp1+VoIKYraCWECALbuKKSvMIxQLoTs2685V6a3DJ6MjpaVluZMjSCO5/B0iUcIcbLc7NyeT6DNuI4OSeRv1RlDm/b2RwjpJ4dxnZAzWVsuwUjMniJRTBBahB5OlwinSJxNfeGIfs4u32oZ4gQa46uc+jK7ZMJHIk/YLmFrC3BGt2fPkb1ebCtBa33Cc64jLdFqDWV7zpTca7vwgQmz28kAdmooOx7Zc+f4GPPnGytWOBTaPLv8V5a+ft6wF+Px48elpaWEDVQqVXx8PD0sLy9v4uUYgkh9o3DjtYb2rpamz5alhymkEMLu7u6plxofVnvj1tVNb2wn/TOT4joRuovQGxDOAYD161POQOANs99Ag30Ida5YUcBH4os1yIR7RQPg4jYvbeEeY2vP6forJQvVqjcg7JiI3g6KyoNQPllxnQGQQ5hPUR0ORa9M7h0UqoVLNlWcutzUZjJ3WkzmDnPXvSbj1aoPV27PDfHxEAMA9BB+/c03D0ZGzNQU7NzpZX+OgwhFE4Rg2utMAMg8lCkL3zleeavZ3Nk+cZ8rfbPUN99842ivRud9cjLvCwGQQ5jHNhcfiSKxG9dcJrPJ3NnSdJttLpmHMig2L7d4X9XN220mm8pbW0cnAGQQ5lGUmR0dIwglEgTbUQkiCaGRl9Hli6QeVpWn70madZc/iFDM1BXnDJh2ZQFBRNOftx0qzFbXkVHeUc9hFmjC+MLpC3Qfof/57BknOph7XjnR8bp1+VkQUhS1kpsJrVxh+hFHzpXp43//89mzgf5+E8sUfX19nNt/ebrECEKcLDc7t+cZaPbX0aGHZ/O36oyhTXv71GFcJ+RM1n6XP4KQeopEJ4IgERqeSeJs6gtHtINdvhDCbIqafI6Q1TLECTTGtTj1ZXZdPh+JPGG7hK0H3Mzo9o52+dbS12zWkfnsNL2Gsn2VnXvtFD7AagNsZQA7NZRdhnh2+Q6FNs8u/5Wlr583VtfGFtZMLwDAxd0zdn7S3rJN129XnkhPiraWL8aH5RUc6Wusbbn0iT43+yhCtYPoUDYsEoLJM1kCL+C0Fi6oQIO3EKpYsWIBH4kvzBzTMo5A4hGhXVb3wHJ3oOFTmHo0G943jUevhaJKIFQ+914+EDgDoVzuroyMSUzL1GXpYfaiZYvXffz+weqBHkvLjfPhISoAgB7Cnr6+963dOOHo8SRbWZXzekJSytXqW8Yje78oW7k8dwH7o/zz7OVP3PPiAoAfhMXszTB+EoUcc+khzFm66u33jrPNlZCUcrbqlsXUZfhwS9GyxbaUt7aO9BZj0fS9fP3kJgp4qXv5qnkhVpV/zr38GZPmtAFOBJHAbj7Yytu5oNV1nPVePrNArB2sKQsURRADCD0dHbUaHSRJcqLjdevytRC2U9Q2CGMnN/xsXoEjaHqXT5virSk3Mk2agnP72owu8QghTpab9V7+jIE24zo69EOY/K06Y2hD1l6+LSfkTNZ+l/8IoQUEwZqMxNZevp67cfsq9/KFAEggXML+JGOnDDGBZsu1Zt3lzyiRJ2yX8LAxZka3hw52+dbS1/Pu5XNqKNtz2LnXTuEDPE5d2qmhs9jLdyi0Z1uwuANeVPr6eWN1bWxh07ICXyBclJF9sN7UsiY7/c1s2GU1xwl8w6PL2gaHe4daVi9buuG65VDrkHHzxmNJkSFy+plSQok8NEp9omxr7WDr5501qwqWpNuX2GBuWZ+bHioGYgEAL/RcPiPRTxW6+1z91Vsd1ze83b1r26O+XjhxLv9A2dqlUb7MkS/fqLy1ZZ9a2h07b6dQuJNkdEpyjJ+3h4uzEAAglHjKI1flbbkw8uTPCN2nNUlMh+fqLRveKU6MUrpKXAQACITOQrGrh09gWGyC20vo8vUQDvV2Vu9YsW6+5xypMwBCiauXb1hiUVm5pWc2Xf7Yk4fb8rS+E2cKfSOXFG38xNJSAzPV9DA+EmUyCcdcAABnt8DE/A/Y5qI3Nf/16Zf7l6eq3EUACFzE8unKqzNhTbPlwMYi1jr6+Ubmrt1ydPq5/LKlOj/W4V3d0k0PhztRVw0RGczfFAyZEDZ1mEoLcsLchZxfEqQ3NdnK06bQLln98JuX0uVHEIQJoYGvhpdmJLiNayOQuHpn5b358MnvbLnKwyGkjSNYz0Edx+o6Mso75DnsBfKb9JwpC6QKIy40o9qeh5zokCnmRiYmRyaQnOigJ3vvweCi5Pmuz/08NTstHYN9+8elZhmMHSe2lr2dGBkweYJcKHXzUobFSt2mdE7QbpefmA5pU+TnZnm5SYQACAROdJaInHrXyowuwbg9J8vNzu35BNqM6yhxpMvnY1Weoc2cy9+4VGvLCdnYcQn6XL5p4NGWfL3/5Ll8P62Nc/mMYi4Sj9nVFwb7VT4Twjud5o2rlhDeEjoDuEhc/SLSizd/ZOm5x7zFahniBNrsunxbyYSPRJ6wXYLwdpM6A6EA2HIJW27PPpc/Y5fP7hOecx0J5lz+tBr6EJlRRzV90Jyde+0UPsCjy7dTQ9lliE+Xvzh/hUOhPf6RxoZLTLf/dBxNX8yjqGbdOr6+sBeD54kda5Z1AcA9IjXvkxvNhrXLm98u/Kq701oqcfENTXqvoedS590TRaszlp1Y/H5rXeOdtuvHCrO18QRBRMdrcwpPXG+701jXXL74c71nTkqMfYkHjS23tq78hPTxl7mAF/e8fLZEF7GXX3Bx/qqjtfWNf/nz16OjTyCE3rGa4ouNVPv5htObc3QpBEHo8gq3nGk4T1GNlcWaWG/+EuPio4+eOnDtxukNxQUpifEEQcSQaSkFezZ9fKPv7lBz/Y2w0BAAgEdYyqKP66/dPHf12OaF2pT5BDE/PikufXH+W9v3HDtOxMc9zxytvq5Jy2xsaDq/880tupiU2GiCiEmDBWt3nT3TOIK+nM2JnX989y9tVz5etiidIIhkbXbZyVpDc8vt06s00XPoYXwkBgb5c8xFEERscvbKLcfZ5tKkZRqbTIN99w4UL9UlRBNEdFIqnK68V7Rm5cnbzXcMtSfLsrXJBEFkLFr21sGqi5Zvhh49oYe5BYTqKozl1KCx+pPCpVpaoi6v8EC1cdBUbjysCw10szbpGSBS04/VNzR8/NaxgjgtGU2HGL2lERoWwVGeNsWHpxv//D9mf2LHzhuVoeH76lrq0UDNnnX5GSRBEAQRnZaTv/f8nb/8n/8x/Y2aDG1dm2Wo//4nq3K1cQRBEKGhocx+jNV1ZJR3yHPYC7RyqZYgCHWGnrNAUp+Q2G031p8f4ESHfnnJoStX9504yokOZWj4vvrWW3d7L4NkPaYAABdcSURBVGzJW5I8n8lvIpGDv2cHALB/8kokUqlUBEHk5eU9fvyYOXnILDSNq4rMev/6zfbmhuuHi5ZkkjEEQcwniLisRStLdx8OjooHvLt8j7AU2hQXzu5ftUQbRxDzY+PpLEGbQhkYaPWN02HcnpPlZuf2fAJtxnVklOcDH6vyDG2vaI1mv3F7Pbpetd+WEwIAZDJZaGgoQRClpaX9/f1MMWW7ltwvVL3HuKV2+FrNFyvz9fSA9IXLPrrc8pfv/hezHN6xGo5iKbqc2dUXBvtdPqFJP9HYRJ1878JbejoDJKVllew9Z2j9cvCryYRptQxxAs3RLt9+MuEjkSdsl9i6NhcmEnHzo225hC23p43Ps8tn9wnPuY60RKs1FDXuMB5IC/V3BVNzr53CB3h0+XZqKLsM8enyE3VLHQrt0PBIjktw4uiFpy/6AfzP0zq+vrAXg+fdt7YsK/NJylpf03X75LPfXvn902HrZc99XtCCquI9fU1XjmfqcgPVhas+qjpS39t39/4QQggNDdzt7a2rqNy3cmVSQLgrSJhvby1lPknwzZv3Wq+ZL+2ImOcDJhz3BTwvf4pEZyCYG6guXHPpftUf/9+h0X+GEDq7KiKzC443tFsePR0YGkYIPRjuH33cRd0+UZATqXCzdRDUCnMCQ9NXbd5y+EpD10D/4DBCaHAQPRi+33H7xqmdpSUZCXNcZQAAoVShTFpc9kXl+SZLz92BQYQGh9DQV4NdlvovdhWFqxzIFzy7fEVAZMH2o5Spa/QBGh5ECA213zae+fCd60fKR+7PZi//D99+9+kNcz3VjRAaGrz39XBry43Pl2WFKVzHt7L5SHT1nMsxF0JoaBD1mprZ5lIERJIrd2+uqL3b0/dgCCE02GVqm668k1wRqlv2aU1TM3p0Dw0hhLqpurqzOzpv7H840k8PE0pk8ggytXhztbn33vADWuKD4f67HTWbS9LISLlDP27CIJ8TkrP643umzr8+HfpqeDzE6Me/yjz9OMrTpqg5svv/+ONL2csXy72DU98u+c35ofv9j2ht0GBbw61Lh3b/2z9bkegVGp+6+eR7l+4O9d9/OITQ1GfXWl1HRnmHPIe9QL1oGCHU19XGWSCBSOYSkBC5YD0nOu7epa6d+s3OEh0nOsSuc4PTytb/pvKrvt6vHwwy+U2lUllXwi52unyVSkU/2Pfx48fff/898xQBZqFpBGL3OfPhG3vOfH6D6r3XPzQ4vuI9pjsnP3qHCPEDvLt8oVRBm+Kj88aOnntDCA0OjmcJ2hQ+c9ysvnE6jNtzstzs3J5PoM24jozyfOBjVZ6h7SRXSEPJpMKyc02dtpwQAECSpNFoRAiNjo4+e/aMKaZs1xKKZZJgklxRdrq5q2dwhB5gabvZfGn3v//bZKA5uyo4ig0PDcyuvjDY7/LlXsHZq/d2d/X8y+8f0hmgk2o9vvudK4fKhwcmE6bVMsQJNEe7fPvJhI9EnrBdwtRz96sRNDiIbLmELbenjc+zy2f3Cc+5jrREqzV00yo1GSajf1ySnXvtFD7Ao8u3U0PZZYhPlx8dl+RQaMvnBnFcghNHLzx90Rd8ntbx9WX8q9KJamQHg8Gg1WoNBoPNcigKVSW8b7i0H6HjRuMl64+rd54L5mwmF5yoOLaXJMNcfUPCFm1c9eGFO6ZuWkoX1XT+g5UbF4SE+MgZxexK/MBw6bTBsEOl8gEv4nn59BWmS3QLJSO3GtZcRqeqx6/s5Re4ZvfRI7XdnX0DCKGBrtbe2iPHdxcF+jnwUGcAgJOrtzRMl7jiN6eN7T39CCGEBu6i7obrJz8sSY2KlgPmIUIyT5/ElTs3fFHT0tGLEELoHkKWxhvHSxdF+bo7kC9szZH7utxHpV1/9urt+xM+0Fhj2FtI7i0kL5yqcMi8dEJ58PtvV35yrbKOQggN9JotNQcO7ywI9GF9O8ZDolDsxjUXQqi/u7nmxBRzyX1AyIKElR/caqLoIaYmo1XlPXwC8rYf2l/dYe7pRwi11148tS3j1LaMS4aj7GGBkXHvHq1u7RoXOdDVevXou3GRQfyNwMXJMyii4MyFWwOsEBuXKHbnKE+b4sB6bWON7XCwzQxxBAAQyIA4ITa19HJdy70JiQ3Vhn1rtQ3VVt4o9FKJU9albj5Z12qhB0+JOGvryCjvaGAyC9TUcQ8hZGmrs7pAioBwTnSYmq/uXZ++OMaNGx1COZCoE9LKbta1MhrOussnSbKiwno42Mqr040gcpszT1ey/DcnbrdbGJXa6y7vWqNWeUsAawU5b7S6soqA8Pxtn99q7qRdlc4StCk8pE523jidwMg4TpabtdvzDDQ768goz5MZrcrMkU9oK8NiNh6ssuOETJc/fbk5RvYLi3n704uNHXfpAa23zlV9kPuvv+Xe5s5WbKCvc3b1hcGWC40jVASGLzl84aYFIToDUI3G8gKyvIA8f2KKe08vQ5xAs+Vatl6fIZnwkMgfxiUu17cxideqS9h3e85cOEmA/SfTJzznOtJtqNUaGhvO+vmUabnXVuGz1QawL2WrhrLLEHuyHB/jWIl/aAvkczguwYmjF56+mFw969bx9WXirPPkTznagiRJb29vkiRt3gUllMsUEWRSNIRxGk2S9bNNAjEQhSp84mPjohQKV2eJ3NU3JDAqMT1TR0vRZaaRUQHBvnK5xJlRzK7ESDIpgSTDZDIxeBHn8ukrTJfo7KpwCyOD1DBBPX5lkUQaFBkXp9Fps/QQQr0uQ6eJi4sMkkoc+95f4Cx2cvVWBIQnaDJ09POq9FlQl5oSH6Wa4+buDJwmTg47iSSeAeEhMcnpWvr5hHoItWkp8fN83SSO/Pa7rTlyX3eWyLznJSSnMQ/RSksmowIUUQGKxPjYWdzvO/TV15qFbySlZkII9VmZ2uT5seH+UgnrQVg8JAqcnLnmghDqdenJ8VPM5SwBcl9FQFRKWiY9JDNNY1V5F7FUGRYbrdZm6vQQwgxNYkKYd0KYdxIZN+V3TN08wuPUjEi9LkMdF+7h5sBBYS4CkczNPyFRw0xi8mYyoQtHedoU0SrvtGTb4WCbGeIIAACcgFDh4RWs1qQz+qSqSSLIO1Vt5Y0CkUzopfIKjddkaOnBUyLO2joyyjsamMwCpWn1EEJtRqrVBRJJXTnRkZmeHKWa4+vuwo0OgTNw8lTMCUlJzWDnN0etSqNQKGJjrYeDrbw63QhCZ5HcW+UfHp82YU8IYUaqOjLIUyZ2AqwV5LzR6sqKpK7KsBhNupadJWhTuExkEx4uAQAAMjcPTpabtdvzDDQ768goz5MZrcrMkU9oS1w9QuYn2XFC5sdcpy83x8gSV/fg+Ylp4xOEGZqkgmzN4y+HOF0+WzF9lnZ29WXyajZcaByBi9TVLzYxRQuhfiJhRvorIv25CXN6GeIEmi3XsvX6DMmEh0T+MC6hTs1gspNVl7Dv9py5cJIA+0+mT3jOdaS7fKs11MOVdXv5tNxrq/DZagPYl7JVQ9lliD1Zjo9xrORAaDuLOC7BiaMXnr5++efyMZiXCpzpy0EMBoP5lUD/0pC3u9yZfmaczEuTs/LLoXZHf/kL8+thxjMqGIx1cJePeQXgLh+DwWBo4mLCjxzYXrQ0R00QsQShWbBi57Ebd9t2G0/A2d3Kj/nFg7t8zCzBXT7mFYC7fAwGg6HxDYku/fhMi7n3AUJDCI0MDXRTNzaVZJBRbjKJY/ceYH4l4C4fM0twl495Bcx8ow8Gg8H8OhDPUSWtKr9c10b3bfd72m6cLE8gcG7E2ITn/aYYDBfc5WNeATKZTKVSzfqR5BgMBvOLQegsknn6BoeGjz8JPDI8JMhXNtvbajG/Bugf38A1FOMwuMvHYDAYDAaDwWB+aeAuH4PBYDAYDAaD+aWBu3wMBoPBYDAYDOaXhkNdPs9fIvhFMvNPSGAwGAwGg8FgMK8JDnX5oaGhRqPRaDSGhoa+NI1eUzQaza927hgMBoPBYDCYnxkOdfm/5ie24ie+YzAYDAaDwWB+Nljp8p3dZN7xZLJOl0zGe8vcnCf/8xN2+T/5YSHc5WMwGAwGg8FgfjZM7/KdveNjV98w1n/zTb3xxurYeO/JNv8n7PJ/8sNCuMvHYDAYDAaDwfxsmN7le6l1a2q/7r/13Xe3+r+uXaNTezH/+gm7/J/8sBDu8jEYDAaDwWAwPxumd/mherj33uOaA319B2oe39sL9ZN753SrPfjl45ScgkRNBoRQr8vUqqNjw5QerhL2RUQSaUBEbEyKNl2rhxDqs7TalJjYiADp1J/3ox9ck5Sa4R+ZkJSaASHMykxLjlKG+0pdJU5g4qAOhLC0tHR0dHR0dLS0tBROwD7AI3ByEXn6+4TMT9KkQwghzIJZGnV8pKdM4gQAcylSnarwj1T4R2rSMiGEEOrTNUnBXh4KIXBiKSZxdQ+Zn5imzYIQajNS48O8S1ctfPzVELvLZ+aozdJDCPXadKtzxGAwGAwGg8FgXjVTunyBGDj5ZCxYWdfZsqpg9eqCVS2ddSsXZPg4AbEAgIku/8mfvt16rObctTqKokxtTR0NZ899sSk/K0o1VyRyFgAAhBJZYELazqMXq5ott9vMFEWZ2u9Ymi9ePLojLSFQJhEyAukH15jvDW09XFV5vc5MUW2NN28f37j/TU30PC8AQEBAQEVFBUVR/f39z549e/bsWX9/PzVBRUVFQEAAfSmZx5z4JW+t33Pi0rXaThNlNrdbulurK4/mp0V7ylzAxJmflo67q7d+kffWvpobdRRFmS2Wpsb6vasXLQnz9hA7AwCEYploripKl7f3bE19i4miqKa6a2c+Wm08ve2vf37KdPnsOTa3myiKMrfdtjpHDAaDwWAwGAzmVTOly3cJA+7bYME5quMQhAQBYUUHda4AbnMHYS4ATHT5P/zHf+9rPbvhrUII4fKikormvrr+ju7qVYbNAaq5IgCAPJzMOVzTPVh3r/Xw9k1rIYTL15Ycbr1bP9h1rSKbDJezpSOE/vMf/97fcWn722uWQFhUUlTb03Sh8Upimho4spc/T+VfZfi0xXhmz6Z1hQvhkmVr137U/vHlnurqbUmkP6P893//dvTezVun3i9akZcN4dI1W98/09XbffnmhXdCVN4AAGkoGbDZsOpKV3PruW1lRRDC/MI1+6rrGh/9/n/8rx+YLp89x3Vrl0MI127abnWOGAwGg8FgMBjMq4bd5Tt7qeWpV/LeNVM3NupT/JQafdlNyvxu3pVUudrLGUw0yv/13VjHhe1JUX4AAA9lcO6+K8eazGMDB1FVPjFPAQAISIbbm+53thy7si9XTYwPW7LvyvGWzvuN22FyAFs6Qug///6Xjsu70okACQBKleo9g+E9gyGCJNl6znguX+XvbfhsY9XnG3PiQ7ycgcRN6ZvxUdH+Wsu90xDOZ67ww9/+9DvziYu78kL8PAQASOcScMOZR3/oRchAECoAgDIR5leig/1jNae3M8ov3XvlRPfYn/6v/2IUYM8xWOkBAPAj1FbniMFgMBgMBoPBvGrYXb48RhvyRWdp7UD7nmxdiEwWosv+kBqoLe38IkQbIwcTjfLYk4fb8rP83CQAABeJhx+RV1x24OF9MzJfISKCAQDJWni9zfLppuI8wk/JHrbpoKXtOtQms6UjhP7w9NHGgmxfd6kQAIlMFkGSESTpqlCw9Zyxy5dJxeT8kKSYEB+FXCQETs4SiTeRu+odc2c9hOnMFX735NG+zSVpkUpXiQsAwEnsTmbmDX81gJCJICIAAOpMeMWMzPcfli3NmlQ+Krd467GHT8YYBdhz9JC4AAAkbkqrc8RgMBgMBoPBYF417C4/IAOubEOfDQwZVsbFewqFnvFxhYahgc9Q20qYEQAmGuWHCGkJYuJmWxcA/CEsQegR0wFDCLsoah2E/gBIpwxbR1FdbIl0l/8AIQ1BuNjVc4YuX+gicfeLJlPSs2CWnjnRA8vLy/v6+miJ9BWGEcqFUAKA0MaVaZUeIaQnCJbyvhCuReih1TlOaC61OkcMBoPBYDAYDOZVM9GPOgHgnqZf3tT/4P7jr7cU5ifHRkfHJucXbvn68f0H/U3L9WnuAMRMNMokQUw8kUYIgBzCPIRG2B1wB0XlQSgHwHnKsHyK6pje5Q8iFEMQArt62u/yZR7KlIXvHK+81WzubDOZmNtzR0ZGvvnmG3aXP4hQNoRC21emVRpBKJEgWMrL7Mxx4mrOVueIwWAwGAwGg8G8aib6UXcAFkF4BKE//vD9908ePx5ECKHBx4+ffP/9D39E6AiEiwDQsPbyxeMXcAFACWExZ5/bQlElECoBmLrlb30vn89D6O13+QlJKVerbxmP7P2ibGXRssV29vIRQpwW3M5ePkt5XwiLbM0R7+VjMBgMBoPBYF4v6H5UIPYTBe9ZXNwwZOn7/s/Djx8M0o3v4IPHw3/+vs8y1FC8eE+wCMZHj5/Lz9P6TpxZ941aWrTxk4cDFDJdJiLmgYkz6wfK1i6N8vWbHJa3tuxTS7uVc/n8u/yHQ0gbR4inPaZSD+FQb2f1jhXr5nuq3EUACFzEct+wxKKyckuPY10+cy5/41LtpPKRuWu3HJ1+Lp+eI3Mu3+ocaRQKhUaj4TwXiAPzQCGNRqOYeluCrUvZGYbBYDAYDAaD+fVCt7xSv4i4D01bL/cPnHm7tzxhcWo0QRAEQUSnLk4o7337zED/5a2mD+OWwUSE0D+++5e2yx8vW5hOEESyNrvsZK2hqRnVbTN+lBKqlAMAvGM1xRcbqfbzDac3Fy7VEgSRosvZcqbhPEU1VhZrYr3Z0nl2+aHhkXVtlqH++5+sytXG0doRKpVKJBIBADRpmY0NTed3vrlFF6NLiCaI6KRUuHbX2TONI+jLbxzq8r2iNZr9xu316HrV/pVLtQRBqDP0bx2sumj55l+++wczjD3HHF0KQRC6vEKrc6TRaDRdXV1jY2NGozE0NBRYg36i/9jYWFdXl0ajsWUK9qXsDMNgMBgMBoPB/HqhW15VBHHWhDp6B6+vyXnPX+jL3Anr4iv0fy9nzfXB3g5kOrti2SKE0O+//duBa+11VBdCaAjdfYzu3Ll6oGxlIhkilYmFAABnV0VkdsHxhnbLo6f3hh8ghIaHBkYfd1G3TxTkRCrcnNnSeXb58rlBqZtPvnfp7lD//YdD9JuQwWBQqVQAAEVAZMH2o5Spa/QBejCEEBrsMrWd+fCd60fKR+47tpfvJFdIQ8mkwrJzTZ29aBgh1NfVVnd2R+eN/d99+3tmGHuOA0PDCKEHw/1W58jMdGxs7Mcff7QzWVqTH3/8cWxszM6ZH/al8NEgDAaDwWAwGIwV6DYxUKU6bjBcNxjeJcksANwm/+8GQBZJvmswXDcYjmu1GQaD4WJt++Lycxdr2xFC/T2mjuqPD23PiwlTsi/r5Re4ZvfRI7XdrV39CKGBvs7e2iPHdxcF+nmxh5EkaTAYmGbdDgL5HHHKutTNJ+taLQhxu3wg91Fp15+9evv+xL9MTca9heTeQvLCqQqSJAEAKpWKlkVOfRI/8zpbB2VYzMaDVU0d9xBClra6U9syTm3LaK+9yB7GzLGzbwAhNNDVanWOzEyNRuMUnadBa4IQMhqNHCVtXcrOMAwGg8FgMBjMr5fxEzsyWRxJJpNkuEIxd/LBOAAAZwDmKhThJJlMknHe3nNIkkzUZPhGkImaDAihXpepVUfHhik9XCXsy4ok0qDIuDiNLkOnhxDqs7Q6TVxcZJBUImIPUygUJEnaOarOUkQk9FJ5hcZrMrRWfvvWWSLznpeQnMY8RTMzTRMVoIgKUCTGx9KH1+lT79PPsjOvs3WQuHqEzE9K0+ohhNqM1IQw74Qw7wxNInsYM0dtlh5CqNdlWJ0jM1N8Lh+DwWAwGAwG84rARz4wGAwGg8FgMJhfGrjLx2AwGAwGg8FgfmngLh+DwWAwGAwGg/mlgbt8DAbz/DB3lfDE/s0nGAwGg8FgnpP/H6/Z1csJWGqgAAAAAElFTkSuQmCC) 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Ilustración 3: Error al no pasar el fichero fuente como parámetro al intérprete. |
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) 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Ilustración 4: Paso de más de un fichero con código fuente como parámetros al intérprete. |
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Ilustración 5: El fichero de código fuente carece de extensión .BAS. |
Al ejecutar el programa correcto, se va analizando y ejecutando cada una de las líneas (instrucciones) a partir del código fuente BASIC, solicitando los operandos que proceda, imprimiendo los mensajes por pantalla etc… Nótese que la división es entera y que el salto sólo se ejecuta la primera vez.
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Ilustración 6: Ejecución correcta de un programa BASIC hasta su finalización. |
A continuación se muestra un ejemplo de error en tiempo de ejecución, como puede ser una división por cero o que el usuario introduzca caracteres en vez de un número entero. Tras un error de este tipo el programa aborta su ejecución.
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Ilustración 7: Ejemplo de error en tiempo de ejecución tras leer un valor incorrecto de teclado. |
El analizador señala todos los errores encontrados en una línea determinada antes de que sea interpretada en cuestión. Espacios en blanco, instrucciones en minúscula y comas olvidadas son errores de los más frecuentes a la hora de codificar un programa. El intérprete muestra un error descriptivo por pantalla junto con la línea del fichero en que se encuentra el error y aborta la ejecución del programa.
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) 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Ilustración 8: Error durante el análisis al no encontrar una coma en una instrucción INPUT. |
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) 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Ilustración 9: Error por declarar una variable con un identificador no válido. |
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) 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Ilustración 10: Error al operar con una variable no declarada con anterioridad. |
En este último ejemplo se puede observar un error de análisis, no de ejecución. Esto es así porque se analiza línea a línea y después se ejecuta la línea previamente analizada. En este caso en la línea 7 se hace uso de una variable no declarada con DIM previamente. También daría error si se trabaja con una variable sin haberla inicializado antes mediante una expresión y el comando LET o a través de un valor leído con INPUT por teclado.
Implementación.
A la hora de abordar la práctica ésta se dividió en 4 partes de forma general:
- Interfaz de fichero: Clase encargada de obtener todo el contenido de un fichero a partir de una ruta absoluta o relativa para volcar el contenido de éste si existe y se puede leer. Su contenido será utilizado posteriormente por el analizador.
- Intérprete de BASIC: Es la fachada que separa el intérprete propiamente dicho de las interfaces. En este caso de la interfaz de fichero, ya que de usuario no hay, siendo la ruta del fichero del código fuente la única interacción del intérprete con el usuario (salvo el propio programa BASIC interpretado). Esta clase tiene todas las operaciones que son públicas y generales al intérprete y al analizador, como por ejemplo interpretar un programa.
- Analizador: Clase que, a partir de un programa escrito BASIC, lo analiza léxica y sintácticamente línea a línea informando de cualquier error. Si todo está bien, se comunica con el modelado del programa para que éste cree una nueva instrucción y después la interprete (ejecute).
- Modelado del programa: Como su nombre implica, es un modelado del concepto de programa interpretado en sí. La aproximación consiste en tener un conjunto de variables e instrucciones que formen parte de un programa. De este modo, la clase Programa es un contenedor de variables e instrucciones, que posee un contador de programa el cual indica qué instrucción se va a ejecutar ya que puede haber saltos en la ejecución secuencial del programa.
Se ha utilizado memoria dinámica para almacenar las variables y las instrucciones, ya que es lo más adecuado ya que se van creando en tiempo de ejecución. La mayoría de las funciones miembro de estas clases son inline (a través de los correspondientes ficheros de cabecera) porque los intérpretes suelen ser lentos y compensa sacrificar algo de memoria si con ello se consigue una mayor rapidez a la hora de interpretar el programa BASIC.
Uno de los aspectos significativos es que no se utilizó el patrón interpreter. En el diseño inicial que realicé constaba este patrón para ir analizando qué tokens se corresponden con miembros terminales y no terminales de la gramática del lenguaje. El patrón está bien para gramáticas pequeñas como una calculadora polaca inversa o conversión de números romanos, pero al tener una gramática con tantas reglas su complicación crecía de forma potencial y se volvía impracticable. Se perdió bastante tiempo con esta aproximación hasta que se eligió implementar el analizador por una parte (consumiendo el contenido del programa mediante comparaciones y expresiones regulares POSIX extendidas) y por otra un fiel reflejo de un programa en sí. En esto último se trata de simular la realidad viendo un programa como una lista en principio secuencial de instrucciones que se ejecutan en base a un contador de programa (en este caso es un contador virtual, no físico en la CPU) y que tienen acceso a una serie de variables para operar.
Como el intérprete puede dar una cantidad de errores muy específicos (errores en tiempo de ejecución, errores léxicos y sintácticos) se utilizó la gestión de errores mediante el manejo de excepciones. También se capturan excepciones desconocidas por si surge cualquier error no localizado y/o desconocido durante la etapa de desarrollo. Es importante saber que, tras cualquier error la ejecución del programa finaliza, pero siempre de forma controlada y si el error tiene que ver con el proceso de análisis o de ejecución se mostrará junto al error una descripción lo más detallada posible.
Con el objetivo de conseguir un código fuente lo mejor estructurado posible
se ha seguido una guía de estilo o estandarizado de código. Dicha guía se ha seguido siempre que ha sido posible, ya que existen instrucciones bastante largas que, por mucho que se estructuren en varias líneas, pierden legibilidad.
Los comentarios se realizaron principalemente a nivel de clase, funciones miembros y datos miembros, siguiendo los comentarios de tipo JAVADOC para que en caso de que proceda, realizar una documentación exhaustiva con Doxygen. Se utilizaron comentarios tradicionales para comentar ciertas partes de código en aras de una mayor comprensión.
Diagrama de clases UML.
El modelado de clases es el siguiente, el cual intenta simular el programa con sus instrucciones y variables que se ejecutan secuencialmente segun van siendo analizadas una a una, hasta que se produzca un salto, el fin de programa o un error. En este último caso se aborta la ejecución del intérprete y se muestra la descripción del error y el origen (si procede) al usuario por pantalla.
![](http://www.ingenieroinformatico.org/wp-content/uploads/2012/12/Diagrama_de_clases-270x300.png) |
Ilustración 11: Diagrama de clases del intérprete BASIC. |
Diagrama de secuencia UML.
El diagrama de secuencia general del sistema a la hora de interpretar un programa es el siguiente:
![](http://www.ingenieroinformatico.org/wp-content/uploads/2012/12/Diagrama_secuencia_Interprete_BASIC1-300x161.png) |
Ilustración 12: Diagrama de secuencia general del intérprete BASIC. |
Código fuente.
analizador.h
#ifndef Analizador_h
#define Analizador_h
#include "programa.h"
#include <string>
#include <sstream>
/// Analizador léxico y sintáctico.
class Analizador {
public:
/** El constructor crea en memoria dinámica la representación del
programa (con sus variables e instrucciones) e inicializa el
contador de líneas. */
Analizador( )
{
this->contadorDeLineas = 0;
};
/** Analiza una entrada proporcionada que contenga todas las
instrucciones del programa BASIC a interpretar, subdividiendolas
líneas.
@param El código del programa con sus saltos de línea. */
void analizarEntrada( std::string &lineasPrograma );
~Analizador( ) { };
private:
/** Analiza léxica y sintácticamente una linea de código BASIC,
teniendo en cuenta las líneas anteriores (etiquetas, variables,
etc...).
@param La línea de programa a analizar. */
void analizarLinea( std::string &lineaPrograma );
/** Comprueba si un identificador es correcto en BASIC siguiendo la
regla id ::= [a-z]+ de la gramática.
@param El identificador de una variable.
@return TRUE si el nombre válida contra la regex [a-z]+, FALSE
en cualquier otro caso. */
bool esIdentificadorCorrecto( const std::string &id ) const;
/** Comprueba una cadena pasada como argumento a una instrucción BASIC.
@param Una cadena argumento de una instrucción BASIC (con comillas
incluidas).
@return TRUE si la cadena está bien escrita y delimitada y FALSE en
caso contrario. */
bool esCadenaCorrecta( const std::string &cadena ) const;
bool esExpresionCorrecta( const std::string &exp ) const;
/** Simplifica el manejo de errores del analizador, lanzando la
excepción que corresponda añadiendo el número de línea en que
se encuentra el error.
@param Descripción de la excepción o error. */
void error ( const std::string &e ) const;
Programa programaActual;
unsigned long contadorDeLineas;
};
#endif
analizador.cpp
#include "analizador.h"
#include "variableEntera.h"
#include "instruccion.h"
#include "instruccionREM.h"
#include "instruccionDIM.h"
#include "instruccionGOTO.h"
#include "instruccionINPUT.h"
#include "instruccionPRINT.h"
#include "instruccionLET.h"
#include <iostream>
#include <regex.h>
void Analizador::analizarEntrada( std::string &lineasPrograma )
{
unsigned int posicionFinLinea;
std::string lineaActual;
while ( lineasPrograma.length() != 0 ) {
posicionFinLinea = lineasPrograma.find_first_of( 'n' );
if ( posicionFinLinea != std::string::npos ) {
lineaActual = lineasPrograma.substr( 0, posicionFinLinea );
this->contadorDeLineas++;
analizarLinea( lineaActual );
lineasPrograma = lineasPrograma.substr( posicionFinLinea + 1,
lineasPrograma.length( ) - 1);
this->programaActual.interpretarInstruccion( );
} else {
/* Caso en que la última línea del programa
no termine con salto de línea. */
this->contadorDeLineas++;
analizarLinea( lineasPrograma );
lineasPrograma.clear();
}
}
}
void Analizador::analizarLinea( std::string &lineaPrograma )
{
std::string etiqueta = "";
std::string comando = "";
std::string identificadorVariable = "";
std::string cadena = "";
Instruccion * nuevaInstruccion;
bool lineaProcesada = false;
// Se idenfica la posible etiqueta:
if ( lineaPrograma[ 0 ] == ':' ) {
if ( lineaPrograma.find_first_of( ' ' ) == std::string::npos ) {
error( "Etiqueta incorrecta." );
} else {
etiqueta = lineaPrograma.substr( 1, lineaPrograma.find_first_of( ' ' ) - 1 );
lineaPrograma.erase( 0, lineaPrograma.find_first_of( ' ' ) + 1 );
}
}
// Se identifica la posible instrucción BASIC:
if ( lineaPrograma.length() >= 3 ) {
comando = lineaPrograma.substr( 0, 3 );
/* La línea se ignora por completo (salvo
si posee etiqueta, entonces se
almacenará junto al resto de instrucciones). */
if ( comando.compare( "REM" ) == 0 ) {
lineaPrograma.erase( 0, 3 );
if ( lineaPrograma.length( ) == 0 || lineaPrograma[ 0 ] == ' ' ) {
if ( etiqueta.compare( "" ) != 0 ) {
// Se crea y se añade la instrucción analizada:
nuevaInstruccion = new InstruccionREM( etiqueta );
this->programaActual.agregarInstruccion( nuevaInstruccion );
}
lineaProcesada = true;
}
}
/* DIM declara una nueva variable. Si la variable se
encuentra ya declarada se ignora. */
if ( comando.compare( "DIM" ) == 0 ) {
lineaPrograma.erase( 0, 3 );
if ( lineaPrograma.length( ) > 0 ) {
if ( lineaPrograma[ 0 ] == ' ' ) {
if ( lineaPrograma.length( ) > 0 ) {
lineaPrograma.erase( 0, 1 );
// Comprobamos el identificador de variable:
if ( this->esIdentificadorCorrecto( lineaPrograma ) ) {
if ( !this->programaActual.existeLaVariable( lineaPrograma ) ) {
// Se añade la variable.
Variable * nuevaVariable = new VariableEntera( lineaPrograma );
this->programaActual.agregarVariable(nuevaVariable);
}
// Se crea y se añade la instrucción analizada:
nuevaInstruccion = new InstruccionDIM( etiqueta, lineaPrograma, this->programaActual );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
error( "Identificador de variable no válido.");
}
} else {
error( "Identificador sin declarar." );
}
} else {
error( "Error de sintaxis, comando desconocido." );
}
} else {
error( "Instrucción incompleta." );
}
}
/* LET permite asignar un valor a una variable
previamente declarada a partir de una
expresión. */
if ( comando.compare( "LET" ) == 0 ) {
lineaPrograma.erase( 0, 3 );
if ( lineaPrograma.length( ) > 0
&& lineaPrograma[ 0 ] == ' ' ) {
lineaPrograma.erase( 0, 1 );
if ( lineaPrograma.length( ) > 0 ) {
if ( lineaPrograma.find_first_of( ' ' ) != std::string::npos ) {
identificadorVariable = lineaPrograma.substr( 0, lineaPrograma.find_first_of( ' ' ) );
// Se comprueba el identificador de la variable:
if ( this->esIdentificadorCorrecto( identificadorVariable ) ) {
// Se comprueba que la variable exista:
if ( this->programaActual.existeLaVariable( identificadorVariable ) ) {
lineaPrograma.erase( 0, identificadorVariable.length( ) );
// Se comrprueba el operador de asignación:
if ( lineaPrograma.length( ) > 3 ) {
std::string operadorAsignacion = lineaPrograma.substr( 0, 3 );
if ( operadorAsignacion.compare( " = " ) == 0 ) {
lineaPrograma.erase( 0 , 3 );
/* Se comprueba la existencia de la expresión de
asignación. */
if ( lineaPrograma.length( ) > 0 ) {
// Se comprueba que la expresión sea válida:
if ( this->esExpresionCorrecta( lineaPrograma ) ) {
nuevaInstruccion = new InstruccionLET( etiqueta, identificadorVariable, lineaPrograma, programaActual );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
error( "Expresión incorrecta tras operador de asignación '='." );
}
} else {
error( "Expresión tras operador de asignación '=' no encontrada." );
}
} else {
error( "Operador de asignación '=' no encontrado." );
}
} else {
error( "Faltan el operador de asignación y la expresión de asignación." );
}
} else {
error( "Uso de variable no declarada previamente." );
}
} else {
error( "Identificador de variable no válido." );
}
} else {
error( "Falta la expresión de asignación." );
}
} else {
error( "Faltan el identificador de variable y la expresión de asignación." );
}
}
}
}
if ( lineaPrograma.length( ) >= 4 ) {
comando = lineaPrograma.substr( 0, 4 );
/* Instrucción GOTO de salto incondicional,
la cual dada una etiqueta, redirige el
flujo secuencial del programa a la
instrucción que la tenga. */
if ( comando.compare( "GOTO" ) == 0 ) {
lineaPrograma.erase( 0, 4 );
if ( lineaPrograma.length( ) > 0 ) {
if ( lineaPrograma[ 0 ] == ' ' ) {
lineaPrograma.erase( 0, 1 );
if ( lineaPrograma.length( ) > 0 ) {
if ( this->esIdentificadorCorrecto( lineaPrograma ) ) {
if ( this->programaActual.existeLaEtiqueta( lineaPrograma ) ) {
// Se crea y se añade la instrucción analizada:
nuevaInstruccion = new InstruccionGOTO( etiqueta, lineaPrograma, this->programaActual );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
error( "La etiqueta referenciada no fue definida anteriormente." );
}
} else {
error( "Identificador de etiqueta no válido." );
}
} else {
error( "No encontrada etiqueta destino en la instrucción de salto incondicional GOTO." );
}
}
}
}
}
if ( lineaPrograma.length( ) >= 5 ) {
comando = lineaPrograma.substr( 0, 5 );
/* PRINT muestra un mensaje por consola y, opcionalmente,
el valor de una variable. Si no recibe ningún parámetro,
la instrucción imprime un salto de línea en consola. */
if ( comando.compare( "PRINT" ) == 0 ) {
lineaPrograma.erase( 0, 5 );
// Instrucción PRINT sin argumentos:
if ( lineaPrograma.length( ) == 0 ) {
// Crear instruccion PRINT sin argumentos:
nuevaInstruccion = new InstruccionPRINT( this->programaActual, etiqueta );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
// PRINT con argumentos:
lineaPrograma.erase( 0, 1 );
if ( lineaPrograma.length( ) >= 2
&& lineaPrograma.find_last_of( '"' ) != std::string::npos ) {
if ( this->esCadenaCorrecta( lineaPrograma ) ){
/* Se comprueba si sólo hay una cadena o
también un identificador de una variable. */
cadena = lineaPrograma.substr( lineaPrograma.find_first_of( '"' ) + 1, lineaPrograma.find_last_of( '"' ) - 1 );
lineaPrograma.erase( 0, lineaPrograma.find_last_of( '"' ) + 1 );
if ( lineaPrograma.length( ) == 0 ) {
// Añadir instrucción PRINT con cadena.
nuevaInstruccion = new InstruccionPRINT( this->programaActual, etiqueta, cadena );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
if ( lineaPrograma.length( ) > 0
&& lineaPrograma[ 0 ] == ',' ) {
lineaPrograma.erase( 0, 1 );
if (lineaPrograma.length( ) > 1 ) {
lineaPrograma.erase( 0, 1 );
if ( this->esIdentificadorCorrecto(lineaPrograma) ) {
if ( this->programaActual.existeLaVariable( lineaPrograma ) ) {
// Se registra la instrucción PRINT con cadena y variable:
nuevaInstruccion = new InstruccionPRINT( this->programaActual, etiqueta, cadena, lineaPrograma );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
error( "Uso de variable no declarada previamente." );
}
} else {
error( "Identificador de variable no válido." ) ;
}
}
} else {
error( "Falta la coma ',' tras la cadena." );
}
}
}
}
}
}
/* Se analiza la instrucción BASIC INPUT, la cual
permite leer por teclado el valor de un dato
después de mostrar un mensaje por pantalla. */
if ( comando.compare( "INPUT" ) == 0 ) {
lineaPrograma.erase( 0, 5 );
if ( lineaPrograma.length( ) > 0 ) {
if ( lineaPrograma[ 0 ] == ' ' ) {
lineaPrograma.erase( 0, 1 );
// Se detecta la cadena de la instrucción:
if ( lineaPrograma.length( ) >= 2
&& lineaPrograma.find_last_of( '"' ) != std::string::npos ) {
cadena = lineaPrograma.substr( 0, lineaPrograma.find_last_of( '"' ) + 1 );
// Se valida:
if ( this->esCadenaCorrecta( cadena ) ) {
lineaPrograma.erase( 0, cadena.length( ) );
if ( lineaPrograma.length( ) > 0
&& lineaPrograma[ 0 ] == ',' ) {
lineaPrograma.erase( 0, 1 );
if ( lineaPrograma.length( ) > 0
&& lineaPrograma[ 0 ] == ' ' ) {
lineaPrograma.erase( 0, 1 );
// Se comprueba el identificador de la variable:
if ( this->esIdentificadorCorrecto( lineaPrograma ) ) {
// Se comprueba que el identificador existe:
if ( this->programaActual.existeLaVariable( lineaPrograma ) ) {
// Se crea y se añade la instrucción analizada:
cadena = cadena.substr( 1, cadena.length() - 2 );
nuevaInstruccion = new InstruccionINPUT( this->programaActual, etiqueta, cadena, lineaPrograma );
this->programaActual.agregarInstruccion( nuevaInstruccion );
lineaProcesada = true;
} else {
error( "La variable no ha sido declara previamente." );
}
} else {
error( "Identificador de variable no válido." ); //ERROR SALTA AKI
}
} else {
error( "Falta identificador de variable." );
}
} else {
error( "Falta la coma ',' tras la cadena." );
}
} else {
error( "Cadena no válida." );
}
} else {
error( "Falta la cadena como argumento de la instrucción INPUT." );
}
}
} else {
error( "Faltan la cadena de caracteres y el identificador de la variable." );
}
} else {
// Error de sintaxis, instrucción desconocida en la línea.
if ( lineaProcesada == false ) {
error( "Instrucción desconocida." );
}
}
}
}
bool Analizador::esIdentificadorCorrecto ( const std::string &id ) const
{
regex_t regex;
int retint;
std::string error = "No se pudo compilar la expresión regular.";
// Se compila la expresión regular:
retint = regcomp( ®ex, "^[a-z]+$", REG_EXTENDED );
if( retint ){ // Lanzar error
throw error;
}
// Se compara el lenguaje de la expresión regular:
retint = regexec( ®ex, id.c_str(), 0, NULL, 0 );
if( !retint )
return true;
else
return false;
}
bool Analizador::esCadenaCorrecta ( const std::string &cadena ) const
{
if ( cadena.find_first_of( '"' ) != std::string::npos
&& cadena.find_last_of( '"' ) != std::string::npos ) {
int principio = cadena.find_first_of( '"' );
int fin = cadena.find_last_of( '"' );
if ( principio < fin ) return true;
}
return false;
}
bool Analizador::esExpresionCorrecta( const std::string &exp ) const
{
regex_t regex;
int retint;
std::string copiaExp = exp;
std::string error = "No se pudo compilar la expresión regular.";
// Se compila la expresión regular:
retint = regcomp( ®ex, "^([0-9]+|[a-z]+)( [*+-/] ([0-9]+|[a-z]+))*$", REG_EXTENDED );
if( retint ){
throw error;
}
// Se compara el lenguaje de la expresión regular:
retint = regexec( ®ex, exp.c_str(), 0, NULL, 0 );
/* Se comprueban los identificadores, pues deben ser de variables
que existan: */
while ( copiaExp.length( ) != 0 ) {
std::string palabra = "";
if ( copiaExp.find_first_of( ' ' ) != std::string::npos )
palabra = copiaExp.substr( 0, copiaExp.find_first_of( ' ' ) + 1 );
else
palabra = copiaExp;
if ( this->esIdentificadorCorrecto( palabra ) ) {
if ( !this->programaActual.existeLaVariable( palabra ) ) {
error = "Identificador de variable no declarada en expresión.";
this->error( error );
}
}
copiaExp.erase( 0, palabra.length( ) );
}
if( !retint )
return true;
else
return false;
}
void Analizador::error ( const std::string &e ) const {
std::ostringstream oss;
oss << e << " Línea: " << this->contadorDeLineas;
throw oss.str( );
}
instruccion.h
#ifndef Instruccion_h
#define Instruccion_h
#include <string>
/// Instrucción ejecutable que puede tener etiqueta que la referencie (o no).
class Instruccion {
public:
/** Como una instrucción puede no hacer nada, lo indispensable a la
hora de instanciarla es que pueda tener una etiqueta. */
Instruccion( const std::string &e = "" ) : etiqueta( e ) { };
/// Una instrucción tiene que poder ejecutarse.
virtual void ejecutar() = 0;
const std::string &getEtiqueta( ) const
{ return this->etiqueta; }
virtual ~Instruccion( ) { };
private:
std::string etiqueta;
};
#endif
instruccionDIM.h
#ifndef InstruccionDIM_h
#define InstruccionDIM_h
#include "instruccion.h"
#include "programa.h"
#include "variableEntera.h"
class InstruccionDIM : public Instruccion {
public:
InstruccionDIM( const std::string &etiqueta, const std::string &var
, Programa &p ) : Instruccion ( etiqueta ),
nombreVariable( var ),
programa( p ) { };
void ejecutar( )
{ /* Nada que hacer. */ };
~InstruccionDIM( ) { };
private:
std::string nombreVariable;
Programa programa;
};
#endif
instruccionGOTO.h
#ifndef InstruccionGOTO_h
#define InstruccionGOTO_h
#include "instruccion.h"
#include "programa.h"
class InstruccionGOTO : public Instruccion {
public:
InstruccionGOTO( const std::string &etiqueta,
const std::string &etiquetaDeSalto, Programa &p )
: Instruccion( etiqueta ) {
etiquetaDestino = etiquetaDeSalto;
programa = p;
};
void ejecutar( )
{
unsigned long posicion;
posicion = programa.getPosicionInstruccion( etiquetaDestino );
this->programa.saltar( posicion );
};
~InstruccionGOTO( ) { };
private:
std::string etiquetaDestino;
Programa programa;
};
#endif
instruccionINPUT.h
#ifndef InstruccionINPUT_h
#define InstruccionINPUT_h
#include "instruccion.h"
#include "programa.h"
class InstruccionINPUT : public Instruccion {
public:
InstruccionINPUT( Programa &p, const std::string &etiqueta,
const std::string &c = "", const std::string &var = "" )
: Instruccion ( etiqueta ),
programa( p ),
variable( var ),
cadena( c ) { };
void ejecutar( )
{
int buffer = 0;
VariableEntera * var;
std::string error = "Error en tiempo de ejecución: ";
error.append( "lectura de valor erróneo de teclado." );
std::cout << this->cadena;
std::cin >> buffer;
if ( std::cin.fail( ) ) throw error;
var = dynamic_cast ( programa.getVariable( variable ) );
var->setValor( buffer );
};
~InstruccionINPUT( ) { };
private:
Programa programa;
std::string variable;
std::string cadena;
};
#endif
instruccionLET.h
#ifndef InstruccionLET_h
#define InstruccionLET_h
#include "instruccion.h"
#include "programa.h"
#include <regex.h>
#include <sstream>
class InstruccionLET : public Instruccion {
public:
InstruccionLET( const std::string &etiqueta, const std::string &var,
const std::string &e, Programa &p ) : Instruccion ( etiqueta ) {
variable = var;
expresion = e;
programa = p;
};
void ejecutar( )
{
char operacion = ' ';
std::string exp = this->expresion;
std::string palabra;
regex_t regex;
int retint;
std::string error = "No se pudo compilar la expresión regular.";
unsigned int iteracion = 0;
int resultado = 0;
VariableEntera * var;
// Se compila la expresión regular:
retint = regcomp( ®ex, "^[a-z]+$", REG_EXTENDED );
if( retint ) throw error;
while ( exp.length( ) != 0 ) {
palabra = "";
if ( exp.find_first_of( ' ' ) != std::string::npos ) {
palabra = exp.substr( 0, exp.find_first_of( ' ' ) );
exp.erase( 0, palabra.length( ) + 1 );
} else {
palabra = exp;
exp.erase( 0, palabra.length( ) );
}
/* Cada palabra puede ser un identificador, una constante
numérica o un operador. */
// Se compara el lenguaje de la expresión regular:
retint = regexec( ®ex, palabra.c_str(), 0, NULL, 0 );
if( !retint ) {
var = dynamic_cast ( programa.getVariable( palabra ) );
// Se comprueba que la variable está inicializada:
if ( !var->fueInicializada( ) ) {
error = "Error en tiempo de ejecución. Variable no inicializada: ";
error.append( var->getIdentificador( ) );
throw error;
}
if ( iteracion == 0 ) {
resultado = var->getValor( );
} else {
// Se opera en base al operador anterior:
switch ( operacion ) {
case '+': resultado += var->getValor( );
break;
case '-': resultado -= var->getValor( );
break;
case '*': resultado *= var->getValor( );
break;
case '/': if ( var->getValor( ) == 0 ) {
error = "Error en tiempo de ejecución.";
error.append( " División entre cero." );
throw error;
}
resultado /= var->getValor( );
};
}
} else {
switch ( palabra[ 0 ] ) {
case '+': operacion = '+';
break;
case '-': operacion = '-';
break;
case '*': operacion = '*';
break;
case '/': operacion = '/';
break;
default:
// Se trata de un entero.
int entero = 0;
// Se convierte la palabra a entero:
std::istringstream ss( palabra );
ss >> entero;
if ( iteracion == 0 ) {
resultado = entero;
} else {
// Se opera en base al operador anterior:
switch ( operacion ) {
case '+': resultado += entero;
break;
case '-': resultado -= entero;
break;
case '*': resultado *= entero;
break;
case '/': if ( entero == 0 ) {
error = "Error en tiempo de ejecución.";
error.append( " División entre cero." );
throw error;
}
resultado /= entero;
};
}
};
}
iteracion++;
}
var = dynamic_cast ( programa.getVariable( variable ) );
var->setValor( resultado );
std::cout << this->variable
<< " vale: "
<< var->getValor()
<< std::endl;
};
~InstruccionLET( ) { };
private:
std::string variable;
std::string expresion;
Programa programa;
};
#endif
instruccionPRINT.h
#ifndef InstruccionPRINT_h
#define InstruccionPRINT_h
#include "instruccion.h"
#include <iostream>
#include "programa.h"
class InstruccionPRINT : public Instruccion {
public:
InstruccionPRINT( Programa &p, const std::string &etiqueta,
const std::string &cadena = "", const std::string &var = "" )
: Instruccion ( etiqueta ), programa( p ), cadenaDeTexto( cadena ),
variable( var ) { };
void ejecutar( )
{
VariableEntera * var;
if ( this->variable.compare( "" ) == 0 ) {
std::cout << cadenaDeTexto << std::endl;
} else {
var = dynamic_cast ( programa.getVariable( variable ) );
std::cout << cadenaDeTexto << var->getValor() << std::endl;
}
};
~InstruccionPRINT( ) { };
private:
Programa programa;
std::string cadenaDeTexto;
std::string variable;
};
#endif
instruccionREM.h
#ifndef InstruccionREM_h
#define InstruccionREM_h
#include "instruccion.h"
#include <iostream>
class InstruccionREM : public Instruccion {
public:
InstruccionREM( const std::string &etiqueta ) : Instruccion ( etiqueta ) { };
void ejecutar( )
{ /* Nada que hacer */ };
~InstruccionREM( ) { };
};
#endif
interfazDeFichero.h
#ifndef InterfazDeFichero_h
#define InterfazDeFichero_h
#include lt;string>
class InterfazDeFichero {
public:
InterfazDeFichero( char * ruta ) : rutaAlFichero( ruta ) { };
bool tieneExtension() const;
bool sePuedeLeerFichero() const;
std::string volcarContenidoFichero() const;
std::string getRuta() const;
~InterfazDeFichero() { };
private:
char * rutaAlFichero;
};
#endif
interfazDeFichero.cpp
#include <fstream>
#include <sstream>
#include "interfazDeFichero.h"
#include <regex.h>
/* Función miembro que comprueba si el fichero
de texto con las instrucciones BASIC es
accesible. */
bool InterfazDeFichero::sePuedeLeerFichero() const
{
std::ifstream fichero( rutaAlFichero );
if ( fichero.is_open() ) {
fichero.close();
return true;
}
return false;
}
/* Comprueba que la extensión del fichero
sea correcta (.BAS o .bas). */
bool InterfazDeFichero::tieneExtension() const
{
regex_t regex;
int retint;
std::string error;
// Se compila la expresión regular:
retint = regcomp( ®ex, ".[bB][aA][sS]$", 0 );
if( retint ){ // Lanzar error
error = "No se pudo compilar la expresión regular.";
throw error;
}
// Se compara el lenguaje de la expresión regular:
retint = regexec( ®ex, this->rutaAlFichero, 0, NULL, 0 );
if( !retint )
return true;
else
return false;
}
/* A partir de un fichero de texto, se devuelve todo
su contenido en cadena de texto. */
std::string InterfazDeFichero::volcarContenidoFichero() const
{
std::ostringstream toret;
std::string linea;
std::ifstream fichero( rutaAlFichero );
if ( fichero.is_open() ) {
getline( fichero, linea, 'n' );
while( !fichero.eof() ) {
toret << linea << 'n';
getline( fichero, linea, 'n' );
}
}
return toret.str();
}
/* Retorna la ruta al fichero de código fuente. */
std::string InterfazDeFichero::getRuta() const
{ return this->rutaAlFichero; }
interpreteBasic.h
#ifndef InterpreteBasic_h
#define InterpreteBasic_h
#include <string>
#include "interfazDeFichero.h"
#include "analizador.h"
/** Clase que hace de fachada de la lógica de implementación del intérprete.
Las distintas interfaces trabajan contra ella. */
class InterpreteBasic {
public:
/** Método constructor de la clase InterpreteBasic.
@param Ruta del fichero que contiene el código fuente en cadena
caracteres de C. */
InterpreteBasic( char * rutaFicheroAInterpretar ) : interfazFichero( rutaFicheroAInterpretar )
{ analizador = Analizador(); };
/** Función que orquesta el resto de clases, para
* obtener las instrucciones del fichero, analizarlas
* y ejecutarlas una a una. */
void ejecutar();
~InterpreteBasic() { };
private:
InterfazDeFichero interfazFichero;
Analizador analizador;
};
#endif
interpreteBasic.cpp
#include "interpreteBasic.h"
#include <iostream>
void InterpreteBasic::ejecutar( )
{
std::string contenidoFichero;
std::string error;
// Se comprueba que se puede acceder al fichero:
try {
std::cout << "Comprobando acceso al fichero... ";
if ( this->interfazFichero.sePuedeLeerFichero( ) ) {
std::cout << "OKn";
// Se comprueba la extensión del fichero:
if ( this->interfazFichero.tieneExtension( ) ) {
// Se obtiene el contenido del fichero:
contenidoFichero = interfazFichero.volcarContenidoFichero();
// Se procede a analizar e interpretar los comandos:
this->analizador.analizarEntrada( contenidoFichero );
} else {
error = "El fichero no tiene extensión .bas";
throw error;
}
} else {
error = "nNo se puede leer el contenido del fichero. Compruebe ruta y permisos.";
throw error;
}
}
catch ( const std::string &e ) {
std::cerr << "ERROR: "
<< e
<< "nSaliendo..."
<< std::endl;
}
catch ( ... ) {
std::cerr << "ERROR desconocido."
<< "nSaliendo..."
<< std::endl;
}
}
/// Programa principal
int main( int argc, char * argv[] )
{
InterpreteBasic * interprete;
std::cout << "BASIC interpreter" << std::endl;
switch( argc ){
// El programa no recibió ningún parámetro.
case 1: std::cout << "ERROR: No se ha pasado la ruta del fichero de "
<< "código fuente como parámetro." << std::endl;
std::cout << "Abortando..." << std::endl;
break;
// El programa recibe como parámetro un fichero .bas //FALTAA COMPROBAR LA EXTENSION DEL FOCHEROOOOO!!!
case 2: interprete = new InterpreteBasic( argv[ 1 ] );
interprete->ejecutar();
break;
// Se ignoran el resto de parámetros, considerando válido sólo el primero.
default:std::cout << "ADVERTENCIA: Se ignorarán los parámetros "
<< "que sigan al primero..."
<< std::endl;
interprete = new InterpreteBasic( argv[ 1 ] );
interprete->ejecutar();
}
return 0;
}
programa.h
#ifndef Programa_h
#define Programa_h
#include <vector>
#include "variable.h"
#include "variableEntera.h"
#include "instruccion.h"
#include "instruccionREM.h"
#include <iostream>
/** Abstracción del programa BASIC analizado con el analizador.
Puede verse también como un clase contenedor de variables
e instrucciones. */
class Programa {
public:
/// Se inicializa el contador de programa.
Programa( )
{ this->contadorDePrograma = 0; };
/** Como el programa es interpretado, se puede añadir una nueva
instrucción en tiempo de ejecución.
@param Dirección de memoria de la instrucción ya creada en
el heap. */
void agregarInstruccion( Instruccion * i )
{ this->instrucciones.push_back( i ); };
/** Como el programa es interpretado, se puede añadir una nueva
variable en tiempo de ejecución.
@param Dirección de memoria de la variable ya creada en el heap. */
void agregarVariable( Variable * v )
{ this->variables.push_back( v ); };
/** Debido a las sentencias de decisión y de salto el flujo lineal de
ejecución varía. Esto es: cambia el número de instrucción a
ejecutar y se cambia el contador de programa.
@param Posición de la instrucción siguiente a ejecutar. */
void setContadorDePrograma( unsigned long nuevoValor )
{ this->contadorDePrograma = nuevoValor; }
/** A través del contador de programa, se ejecuta la instrucción
que corresponda. */
void interpretarInstruccion( )
{
if ( !this->instrucciones.empty( ) ) {
this->instrucciones[ this->contadorDePrograma++ ]->ejecutar( );
}
};
/** Comprueba la existencia de una variable previamente declarada.
@param Identificador de la variable a buscar.
@return TRUE si ya fue declarada, FALSE si no. */
bool existeLaVariable( const std::string &variableABuscar ) const;
/** Comprueba si una etiqueta ya existe.
@param Nombre de la etiqueta (sin los dos puntos ':').
@return TRUE si la etiqueta existe o FALSE si no. */
bool existeLaEtiqueta( const std::string &etiquetaABuscar ) const;
/** Proporciona la posición de una instrucción a partir de su etiqueta.
@param Etiqueta a buscar.
@return Posición de la instrucción con la etiqueta buscada. */
unsigned long getPosicionInstruccion
( const std::string &etiquetaABuscar ) const;
/** Como la representación con objetos del programa existe en el heap,
se borran todas las instrucciones y variables creadas tras el
proceso de análisis. */
~Programa( )
{
if ( !this->variables.empty() )
for ( unsigned int i = 0; i < this->variables.size(); i++ )
delete this->variables[ i ];
if ( !this->instrucciones.empty() )
for ( unsigned int i = 0; i < this->instrucciones.size(); i++ )
delete this->instrucciones[ i ];
};
/** Busca una variable declarada en el heap.
@param El identificador de la variable a coger.
@return Dirección de memoria de la variable. */
Variable * getVariable( const std::string &id) const;
/** Invocado durante una instrucción de salto, recorre las instrucciones
anteriores desde la posición indicada.
@param La posición de la instrucción a que saltar ( de 0 a N). */
void saltar( unsigned long c );
private:
std::vector variables;
std::vector instrucciones;
unsigned long contadorDePrograma;
};
#endif
programa.cpp
#include "programa.h"
#include <vector>
#include "variable.h"
#include "variableEntera.h"
#include "instruccion.h"
#include "instruccionREM.h"
#include <iostream>
bool Programa::existeLaVariable( const std::string &variableABuscar ) const
{
std::string variable;
if ( !this->variables.empty( ) ) {
for ( unsigned int i = 0; i < this->variables.size( ); i++ ) {
variable = this->variables[ i ]->getIdentificador( );
if ( variableABuscar.compare( variable ) == 0 )
return true;
}
}
return false;
};
bool Programa::existeLaEtiqueta( const std::string &etiquetaABuscar ) const
{
std::string etiqueta;
if ( !this->instrucciones.empty( ) ) {
for ( unsigned int i = 0; i < this->instrucciones.size( ); i++ ) {
etiqueta = this->instrucciones[ i ]->getEtiqueta( );
if ( etiqueta.compare( etiquetaABuscar ) == 0 )
return true;
}
}
return false;
};
unsigned long Programa::getPosicionInstruccion ( const std::string &etiquetaABuscar ) const
{
std::string etiqueta;
if ( !this->instrucciones.empty( ) ) {
for ( unsigned int i = 0; i < this->instrucciones.size( ); i++ ) {
etiqueta = this->instrucciones[ i ]->getEtiqueta( );
if ( etiqueta.compare( etiquetaABuscar ) == 0 )
return i;
}
}
return -1;
}
Variable * Programa::getVariable( const std::string &id) const
{
std::string variable;
for ( unsigned int i = 0; i < this->variables.size( ); i++ ) {
variable = variables[ i ]->getIdentificador();
if ( variable.compare( id ) == 0 )
return variables[ i ];
}
}
void Programa::saltar( unsigned long c )
{
std::cout << "SALTANDO.." << std::endl;
/* Como hubo un salto se ejecutan el resto de instrucciones
hasta volver a la última. */
do {
this->instrucciones[ c ]->ejecutar();
c++;
} while ( c < this->contadorDePrograma );
};
variable.h
#ifndef VariableEntera_h
#define VariableEntera_h
#include "variable.h"
/// Subclase de Variable que representa al típo de dato básico entero de BASIC.
class VariableEntera : public Variable {
public:
/** Instancia una variable nueva de tipo entero.
@param Identificador de la nueva variable. */
VariableEntera( const std::string &id ) : Variable( id ) { };
/** Inicializa el contenido de la variable.
@param El valor entero a asignar la variable. */
void setValor( int v )
{
this->valor = v;
Variable::setInicializada( true );
};
int getValor( ) const
{
std::string error;
if ( this->fueInicializada() ) {
return this->valor;
} else {
error = "Variable declarada pero no inicializada.";
throw error;
}
};
~VariableEntera( ) { };
private:
int valor;
};
#endif
Posibles ampliaciones y mejoras.
Se pueden implementar una serie de mejoras que hagan pie en la naturaleza de intérprete del lenguaje, como pueden ser interpretar código distribuido en distintos ficheros fuente y mejorar la rapidez y eficiencia del intérprete, ya que habitualmente estos son mucho más lentos que los compiladores.
Por último, sería interesante modificar el analizador para que obvie las indentaciones, los espacios extras vacíos y soporte identificadores más tradicionales como los de la mayoría de lenguajes de programación. Es decir; que se puedan validar contra una expresión regular del tipo ^[a-zA-Z_][a-zA-Z_0-9]*$.