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CSI4104 Compiler Design
Creation date：2024-04-19 18:03:08
Belonging category：计算机computer science
Tag CSI4104
Compiler Design

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CSI4104 Compiler Design,
Document Version 1.3

1 Introduction
In the first assignment we will implement a scanner by hand. This scanner will read a
character stream from a MiniC source file and translate it to a sequence of MiniC tokens.
This is known as the lexical analysis part of a compiler. The reason for writing the scanner
by hand is that this experience will allow you to thoroughly understand the underlying
principles of scanner construction. Based on this understanding, implementing a scanner
using scanner generators like JLex or JavaCC will be straight-forward to you. To keep the
effort reasonable, you are provided with a skeleton scanner that you can extend.

Before you start, you should carefully read the MiniC Language Specification (also available
in LearnUs). The MiniC Language Specification explains in detail about the characters,
tokens and comments that we want our MiniC scanner to recognize. Please note that at this
stage it is not necessary to fully understand the MiniC grammar; the grammar is only
provided to give you an initial idea how MiniC tokens will be composed to form MiniC
programs (more on that topic in Assignment 2 on Syntax Analysis).
2 Environment
You can solve this assignment on our server (csi4104.cs.yonsei.ac.kr) or any
computer that has a Java compiler and a Java virtual machine (JVM) installed. We provide a
VirtualBox Linux image that contains the development environment. You can run this
image locally on your computer as described in our VirtualBox_HowTo guide provided in
the ``Resources’’ folder on LearnUs.

Please note:
• All assignments will be tested and marked on the server.
• It is mandatory to submit your code on the server (as described in Section 9 below.)
• It is highly recommended that you test your programs on the server before
submitting.
• Programs that do not compile on the server or exhibit other problems such as entering
infinite loops, crashing ... will without exception receive zero score.
• TAs are not allowed to hand-edit submissions to make them compile-able or fix other
problems in the submitted code.
2


3 Code structure of the MiniC compiler
For this and all subsequent assignments, we’ll use the directory structure on the following
page.


Every Java component of the MiniC compiler that you will develop during this semester will
reside in its own Java package. All packages are sub-packages of the MiniC package. The
MiniC package resides in directory MiniC, and all sub-packages reside in subdirectories of
directory MiniC.

We provide you with a skeleton compiler that you can extend to support complete lexical
analysis of MiniC source code. You will find the skeleton compiler on the server in the
archive file /opt/ccugrad/Assignment1/CSI4104_Assignment_1.tgz. Copy this archive to
your home-directory and untar it (e.g., in the shell, type tar xvzf
CSI4104_Assignment_1.tgz). This will create the above directory structure in your
home-directory. The directory structure is already populated with the files provided with the
skeleton compiler. In the following description, all paths are relative to the top-level directory
CSI4104_Assignment_1:

▪ MiniC/MiniC.java: this is the main program (driver) of our MiniC compiler.
▪ MiniC/Scanner/Scanner.java: a skeleton scanner to be completed by you.
▪ MiniC/Scanner/Token.java: definitions of all MiniC tokens, and a method
for separating keywords from identifiers.
▪ MiniC/Scanner/SourceFile.java: handling of source files.
▪ MiniC/Scanner/SourcePos.java: a class to handle source positions (line
and column numbers) of tokens.
▪ build.gradle, gradle, gradlew, gradle.bat, build: files and
directories related to the Gradle open-source build automation system, which we use
to compile the MiniC compiler (see below instructions on how to compile).
MiniC
Scanner
Parser
ASTGen
SemanticAnalysis
CodeGen
solutions
tst base testcases
CSI4104_Assignment_[1-5]
3
▪ MiniC/Scanner/tst/base/testcases: several testcases that you can use to
test your scanner. You are encouraged to come up with more testcases to test your
scanner in every possible way.
▪ MiniC/Scanner/tst/base/solutions: solutions for the provided testcases.
Your completed scanner shall produce the output as shown in the solutions. Please
note that this assignment gives some freedom with respect to lexical errors (see
Section ‘Lexical errors’ below). Testcases containing lexical errors need not
correspond byte-by-byte to the provided solutions, as long as they conform to the
provided guidelines.
▪ MiniC/scripts/scannertest.sh: this is a script that you can use to
automatically test your scanner. The script will run your scanner on every testcase in
the Scanner/tst/base/testcases directory and compare the output to the corresponding
solutions in Scanner/tst/base/solutions. Please note: this script is provided to you to
help debugging your scanner. The second purpose is to show you how large testing
tasks can be automated by scripts. For the remaining assignments, you will have to
create such scripts by yourself (e.g., by adapting the scanner testscript). Please read
the comments at the beginning of the script file so that you understand how to
run the script. The script is provided as is, without guarantees about its
functionality and correctness. Please use at your own risk, and do make sure
that you also test your scanner manually, to have sufficient confidence that your
scanner works correctly.

Note: for this assignment it is only necessary to modify file Scanner.java. You must not
modify Token.java or SourcePos.java, otherwise automated testing of your scanner might no
longer work. The compiler driver in MiniC.java will repeatedly call your scanner on an input
file specified on the command line. With each call, your scanner is required to return the next
token from the input file.

File Token.java defines a class Token, which we use to represent MiniC tokens. For every
token in the input stream, your scanner is expected to provide the corresponding Token
object. The constructor of the Token class expects three pieces of information:
1) the token kind, represented as an int (e.g., Token.ID, TOKEN.INTLITERAL);
2) the lexeme of the token, represented as a string (e.g., “counter”, “22”)
3) the position of the token in the program. Positions are represented as objects of class
SourcePos.
Class Token makes it easy to distinguish keywords from identifiers: initially the scanner
classifies all keywords as identifiers. The constructor of class Token compares the lexeme
of the presumptive identifier with the list of MiniC keywords. In case the presumptive
identifier is contained in the list of MiniC keywords, the constructor will change the token
kind accordingly (see file Token.java).

The class SourcePos from file SourcePos.java contains four instance variables:
StartCol, EndCol, StartLine and EndLine. These variables are used to record the
4
position of a token within a MiniC program. In MiniC, line and column numbers start from 1.
Variable StartCol denotes the column where a token starts, variable EndCol denotes the
column where a token ends, and StartLine and EndLine denote the line number where
the token occurred (Note: in MiniC, no token can span multiple lines, therefore
StartLine=EndLine for every token.).

With string literals, StartCol and EndCol are set to the occurrences of the enclosing
quotes:
“Hi there, this is a string token...\n”
^ ^
| |
StartCol EndCol

If a string contains illegal escape sequences (i.e., an escape sequence other than \n), it is up
to you to decide on the lexeme for this string (see also the section on lexical errors below).
However, you must set StartCol and EndCol accordingly.

When the end of file is reached, the parser returns an end-of-file token (Token.EOF). This
has already been implemented for you in Scanner.java.

Error Token: Token.ERROR is used like all other tokens: its spelling and position is set
according to the input. For example, if the character @ appears in the input, the scanner will
create a Token object using
new Token (Token.ERROR, “@”, src_pos),
where src_pos specifies the position of character @ in the input.
4 Example
Let us assume the following MiniC input program (starting at line 1, column 1 of the input
source file):

int x;
x = 1.4e+2;

Then your scanner should deliver the following sequence of tokens:

token1.kind = Token.INT
token1.lexeme = "int"
token1.src_pos.StartLine = 1
token1.src_pos.EndLine = 1
token1.src_pos.StartCol = 1
token1.src_pos.EndCol = 3

token2.kind = Token.ID
token2.lexeme = "x"
token2.src_pos.StartLine = 1
5
token2.src_pos.EndLine = 1
token2.src_pos.StartCol = 5
token2.src_pos.EndCol = 5

token3.kind = Token.SEMICOLON
token3.lexeme = ";"
token3.src_pos.StartLine = 1
token3.src_pos.EndLine = 1
token3.src_pos.StartCol = 6
token3.src_pos.EndCol = 6

token4.kind = Token.ID
token4.lexeme = "x"
token4.src_pos.StartLine = 2
token4.src_pos.EndLine = 2
token4.src_pos.StartCol = 1
token4.src_pos.EndCol = 1

token5.kind = Token.ASSIGN
token5.lexeme = "="
token5.src_pos.StartLine = 2
token5.src_pos.EndLine = 2
token5.src_pos.StartCol = 3
token5.src_pos.EndCol = 3

token6.kind = Token.FLOATLITERAL
token6.lexeme = "1.4e+2"
token6.src_pos.StartLine = 2
token6.src_pos.EndLine = 2
token6.src_pos.StartCol = 5
token6.src_pos.EndCol = 10

token7.kind = Token.SEMICOLON
token7.lexeme = ";"
token7.src_pos.StartLine = 2
token7.src_pos.EndLine = 2
token7.src_pos.StartCol = 11
token7.src_pos.EndCol = 11

token8.kind = Token.EOF
token8.lexeme = "$"
token8.src_pos.StartLine = 3
token8.src_pos.EndLine = 3
token8.src_pos.StartCol = 1
token8.src_pos.EndCol = 1

5 Longest match
It is important for our MiniC scanner to always consume the longest possible match (maximal
munch). The examples in the following table should point that out.

6
Input Token(s) Comments
>= ``>=’’ One token GREATEREQ, rather than two tokens
GREATER and ASSIGN.
== ``==’’ One token EQ instead of two tokens ASSIGN.
// An end-of-line comment, rather than two tokens ``/’’
and ``/’’. Note: the scanner throws away comments. So
everything starting from // to the end of the line should
be consumed and thrown away.
@ Token.ERROR
2.2+2 ``2.2’’ ``+’’ `2’’ Token.FLOATLITERAL (``2.2’’), Token.PLUS
(``+’’), Token.INTLITERAL (``2’’)
2.2e+2 ``2.2e+2’’ Token.FLOATLITERAL (``2.2e+2’’)
2.2e+ 2 ``2.2’’ ``e’’ ``+’’
``2’’
Token.FLOATLITERAL (``2.2’’), Token.ID (``e’’),
Token.PLUS (``+’’), Token.INTLITERAL (``2’’)

The scanner should discard whitespace and comments. The scanner must always return an
object of class Token as defined in file Token.java.
6 Lexical errors
A MiniC scanner should detect four kinds of lexical errors:
1) illegal characters, i.e., characters that cannot be part of any token,
2) un-terminated comments,
3) un-terminated strings,
4) illegal escape sequences in strings, for example ``\y’’.

In Case (1), your scanner should simply return an error token. Please refer to the introduction
of the error token above regarding the lexeme that you should provide with the error token.
Your scanner must “consume” the lexeme belonging to the error token, so that scanning can
proceed when your scanner is called next time.
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EARN 5 FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 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MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 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MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A 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MAS316/414 ACCT2522 MSIN0181 ATMS 201 COMP3425 MATH7861 SOLA2060 MA 325 7CCEMCTH ECON 432 INFT2051 SOLA 2060 ECOS2002 Stats141XP BIOA02H3 S2022 MA4601 K5 COMP5329 EG 284 IB3A70 WECO1020 COMP3027 Energy ACS61011 MAST20026 STAT 533 MATA31 ENVS257 BEM2031 EC 486 COMP0172 CS3214 EECE5644 IB2B20 COSC2536 COSC1147 COMP6214 5CCM242A COMP0130 AMME2000 MTMG50: EG238 ACF6006 QBUS2810 COSC2391 ECON7560 MATH377 STA305 CS 486 COMP1117B EL648 ELEC3909 ECON 241 COMP 4901W BUSI4428 ENEN20002 ENGN4524 ELEC3115 CSC 413 PSYC 100B ECON1002 MATH256 ANSC20005 MTHS2008 MATH40082 COSC 2406 FIT3174 STA 238 CMT202 Differential Equations MTHM017 GARCH 101 MATH2069 CSC336S ACSC12 ETF2121 CEME 2001 DB B474F ARHT1001 EECS 3311 3220 STATS 786 CS 484 COMP20008 MATH4091 ECE 455 CSCI 204 BUS B200F BA 875 BU5562 COSC 1147 X11 GEOG 101 IMM250F CSE 584A MATH38172 LAB 4 ELEC5882M FINS5523 EE 430 COMP 465 6CCS3PRE 7CCSMNSE FINANCE ACMB02H3 ENGG2112 ELEC5616 SCM B371 CHEM3120 CS22 ECMT2130 MAST30011 ADSPBF706 CENG0013 ACCOUNTING BUSS1040 CHEM 181 MAT136H1 GY 6183 COMP3170 AGRI90089 PHYSICS 1002 ECON10003 IEOR E4004 ACS61012 MATH 40550 MKTG2113 TELE4653 ENSC1004 ECE 232E MK726 MTRX2700 SHEET 3 CSCA08 COMP30027 Math 2XX3 statistic MMAN3200 BISM7213 ECMM109 ECON 2022 FNCE 20005 GR5067 CSCB09 ME 3017 CS 5100 PHYS 2903 COMS 4771 COMP222 COMP 1046 CSC148H1 ISYS2038 FINS2615 OT5206 COMP2048 A6 MECH5770M MA826/20 CMPT 726 STA457 INFS6071 INFS588 integral ECON 216 IRDR 0017 MA323 PA 15213 PSYC2001 ENV222 Statistics ACCT5930 ACCT12 LAND2121 ME 5405 COMM1180 TELE3113 A7 ECE 568 ACCT2019 INFS1200 ENGG1340 CS 1400 ASST3 FINM7409 SWEN30006 INFO2222 FIN20150 SOSS1000 CSSE7231 FINS5513 COMS3200 CECN 702 ECON4060H MN3515 HW2 PSYA02H3 ECON 2112 COMP90051 CS 1652 MA30059 AF1605 MKTG7501 ECO-6003B COM4521 CTM ECON3350 COMP 3804 ELEC9762 BISM 7255 ST22 MATH20014 MNE3122 COMP343 MATH5165 ELE7029 ENGR30002 SEEM3500 ECON7350 RISK5002 FINM7405 COMP90059 MOS 3320B STAT 431 BISM7221 MATH3014 MTH783P EBA 35302 ACS133 BUS2206 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COMSM0093 COMP281 AFM 333 IBUS1001 CP2501 Math 105A VE320 TEC101 SOCY2166 COM240 EFIM20033 ENGI4467 EFIM20034 EC 979 BE432 7EJ502 CSSE6400 COMP90025 Econ 312 ENG2031 ECO0006 EXERSCI 207 CAN209 ECO 137W FT312 ECO 2199 MATH32052 BDW4213 APS 360 SAS 6 CHME0017 PO92Q Economics 01AV MATH39512 MATH 5486 COMP8620 ISE102 ECON235 ECON 206 FI 345 PHAY0020 MATH0099 MATH0085 EFB106 PHY 134 MAE115 circuits Chemistry CSE12 MATH-UA 233 PHAS0038 COMP2140 CONMGNT 7049 COMP151101 ECON 485 ACX5903 ENGN6536 ARCH1162 Law PHAS0042 CCF1C03 MATH 351 Phys 139 AG942 MGT001371 APH106 ECON1051 MA4AM MA3Z7 NUMBER THEORY REST0006 SESS0026 STAT0023 TABL 2741 CMP4008Y EFIM10015 Acct 560 PSYC735 GEOG 5 ACCT3104 CSEC5616 PHIL1012 ITLS6111 ECON8022 5CCM226A compX123 MA4XJ R001 EWB LLP120 COMP643 ENG 103 ECON 23950 ACCT 207 FINC 616 Bio99 Math 137A Psychology BCPM0054 MATH20212 EC3450 CENV6141 PSY 205 CE335 CS365 Calculus ACSD INFT6800 MCIT INFO6030 PHYS 111LV H63EEJ ECON2151 ENGI 2181 MTRX1701 PLIT08009 CS240 Math 270 CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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