In python, I add python and the path of the file, and my script will run.
In haskell, I invoke the GHC compiler on my file to make an executable, or I load GHCi and load the path of the file to use functions, and my script is running.
In Scheme, neither type of approach works for me. Everywhere I search, I only hear about emacs and SLIME. I am not interested in either. I just want to write scripts in notepad++ or any other simple text editor, and either run them through a scheme interpreter, or compile it into an exe, for the purpose of testing code from the MIT SICP book.
I installed MIT/GNU Scheme for learning purposes. I am not interested in Racket because of how different it is from Scheme now (I don't want to confuse myself further, I just want to learn the basics.)
One thing that is contributing to my confusion is the following. When I open mit-scheme through the start menu shortcut, it opens the edwin editor (its tutorial (C-h t command) is apparently "corrupted" so I can't use that instead of notepad++ nor would I want to at this point (just too frustrated with it)). The file location for the edwin editor is in the bin folder. The bin folder though, only has 2 files: mit-scheme.exe and dibutils.dll. If I double-click on mit-scheme.exe it just gives me an error, but apparently using the shortcut opens the edwin editor (that is supposed to be located in the same folder as mit-scheme.exe (it isn't)).
Why is all of this so convoluted? Isn't there a simple way to get my scheme scripts running? I just want to run things like:
def main():
global infile_1, infile_2
## import geocoded college dataset
infile_2 = open("university_FIPS.csv", "r")
## import great_lakes_sample
infile_1 = open("great_lakes_sample.csv", "r")
outfile_within_bound = open("great_lakes_blood_college", "w")
outfile_outside_bound = open("great_lakes_blood_NOcollege", "w")
inside_buffer_count = 0
outside_buffer_count = 0
global lat_1_index, long_1_index, lat_2_index, long_2_index
## set radius to desired length (in miles)
radius = 100
## when it is generalized, use this:
## radius = input_buffer_radius()
# create two subsets of blood drive data, one within
# radius of college, one outside
# skip header
n_1 = 0
for infile_1_line in infile_1:
infile_1_line = infile_1_line.strip().replace("\"", "").split(","),
infile_1_line = infile_1_line[0]
record_stored = False
# find index of lat_2, long_2
if( n_1 == 0 ):
lat_2_index = infile_1_line.index( "lat" )
long_2_index = infile_1_line.index( "long" )
infile_1_header_list = infile_1_line
# assign lat_2, long_2 latitude and longitude values
lat_2 = infile_1_line[ lat_2_index ]
long_2 = infile_1_line[ long_2_index ]
# skip header
if n_1 > 0:
print( "\n\nExamining Record:", n_1 )
try:
lat_2 = float( lat_2 )
long_2 = float( long_2 )
except ValueError:
print( "Value error, skipping record" )
continue
except TypeError:
print("Type error, skipping record" )
continue
print( "Coordinates for record:", lat_2, long_2)
# skip header
n_2 = 0
# WILL NOT ENTER LOOP ON THIRD ITERATION, it's dependent on radius, when radius is 100, it stops at n_1 = 6
if ( n_1 > 0):
print("\n\n\nbefore loop")
for infile_2_line in infile_2:
infile_2_line = infile_2_line.strip().split(",")
if ( n_2 == 0):
print( "in" )
# find index of lat_1, long_1, create header list
if( n_2 == 0 and n_1 == 1):
lat_1_index = infile_2_line.index("lat")
long_1_index = infile_2_line.index("long")
infile_2_header_list = infile_2_line
# creat headers for each outfile
write_to_csv( infile_1_header_list, outfile_within_bound )
write_to_csv( infile_1_header_list, outfile_outside_bound )
# assign values for lat_1, long_1, after header
if( n_2 > 0 ):
lat_1 = infile_2_line[ lat_1_index ]
long_1 = infile_2_line[ long_1_index ]
try:
lat_1 = float( lat_1 )
long_1 = float( long_1 )
value_error = False
except ValueError:
continue
except TypeError:
continue
dist = haversine_distance(lat_1, long_1, lat_2, long_2)
if( dist <= radius ):
print( "\nRecord", n_1, "is",
dist, "miles from", lat_1, long_1)
write_to_csv( infile_1_line, outfile_within_bound )
record_stored = True
print( "Record stored in outfile_inside_bound." )
print( "Moving to next record." )
inside_buffer_count += 1
break
n_2 += 1
if( record_stored == False):
print( "\nOutside buffer." )
write_to_csv( infile_1_line, outfile_outside_bound )
outside_buffer_count += 1
print( "Record stored in outfile_outside_bound." )
n_1 += 1
print("\nRecords within buffer:", inside_buffer_count, "\nRecords outside buffer:", outside_buffer_count)
infile_1.close()
infile_1.close()
outfile_within_bound.close()
outfile_outside_bound.close()
Searching for solutions online was futile for me, I've already wasted many hours- so hopefully I can finally get an answer here.
Thank you.
EDIT: I am on windows 7 and *nix operating systems isn't an option.
答案 0 :(得分：1)
mit-scheme has the Map<String, List<String>> mainCategories = new TreeMap<>();
mainCategories.put("A", Arrays.asList("A1", "A2", "A3"));
mainCategories.put("B", Arrays.asList("B1", "B2"));
mainCategories.put("C", Arrays.asList("C1"));
System.out.println(mainCategories);
System.out.println(mainCategories.get("B"));
switch. thus
--loadI think you also can use Racket to run standard r6rs like this:
mit-scheme --load path/to/script.scm scrip2.scm -- args ...
For r5rs there is plt-r6rs script.scm
. Racket can also make executables that run faster with plt-r5rs.
EDIT
BTW: plt-r6rs is for running programs using the standard R6RS scehem report. plt-r5rs is for running programs using the standadr R5RS scheme report. I have no idea what you mean by "different it is from Scheme". Racket has it's own language, which is the default, which is it's own incompatible dialect of Scheme, but it is not a reason for not using the software. It's like not using gcc because it supports a non standard C++ language and ignoring that you can get ot to behave standard with switches.
There is only one R7RS-small implementation, the reference implementation chibi scheme. Every imlpementation is waiting for the full R7RS report I guess so it's R6RS which is the current standard.
The lists in R5RS and R6RS are mutable (but in R6RS you need to import raco exe script.scm, but thats a part of the standard. Try not import racket libraries from the standard schemes unless you have no other choice. Check the SRFIs first.
There are not so many Scheme versions and scheme implementations. For every popular programming language that has been for at least 10 years there are more than 3 implementations and several incompatible versions of the standard. If you think there are few implementations of the languages you mentioned you are quite wrong. Python has many implementations and incompatible standard versions. Haskell also has many implementations and versions of their standard. Scheme is from the 70s so it's been around for 40 years so it's only natural that there are more versions of Scheme than Haskell and Python.
答案 1 :(得分：0)
这就是我能够从notepad ++中运行方案代码的方法，
我把记事本++运行配置：
"C:\Program Files (x86)\MIT-GNU Scheme\bin\mit-scheme.exe" --heap 512 --library "C:\Program Files (x86)\MIT-GNU Scheme\lib" --load "$(FULL_CURRENT_PATH)"
然后我就能跑了。但是，我必须先保存文件，否则它不会运行。另请注意，（+ 2 2）不会因此而打印，但如果我调用程序，它可以正常工作。
