I am trying to get the index for the start of a tag and the end of another tag. However, when I use one regex it works absolutely fine but for two regex functions, it gives an error for the second one.
Kindly help in explaining the reason
The below code works fine:
import re
f = open('C:/Users/Jyoti/Desktop/PythonPrograms/try.xml','r')
opentag = re.search('<TEXT>',f.read())
begin = opentag.start()+6
print begin
But when I add another similar regex it give me the error
AttributeError: 'NoneType' object has no attribute 'start'
which I understand is due to the start() function returning None
Below is the code:
import re
f = open('C:/Users/Jyoti/Desktop/PythonPrograms/try.xml','r')
opentag = re.search('<TEXT>',f.read())
begin = opentag.start()+6
print begin
closetag = re.search('</TEXT>',f.read())
end = closetag.start() - 1
print end
Please provide a solution to how can I get this working. Also I am a newbie here so please don't mind if I ask more questions on the solution.
You are reading the file in f.read() which reads the whole file, and so the file descriptor moves forward, which means the text can't be read again when you do f.read() the next time.
If you need to search on the same text again, save the output of f.read(), and then do a regular expression search on it as below:
import re
f = open('C:/Users/Jyoti/Desktop/PythonPrograms/try.xml','r')
text = f.read()
opentag = re.search('<TEXT>',text)
begin = opentag.start()+6
print begin
closetag = re.search('</TEXT>',text)
end = closetag.start() - 1
print end
f.read() reads the whole file. So there's nothing left to read on the second f.read() call.
See https://docs.python.org/2/tutorial/inputoutput.html#methods-of-file-objects
First of all you have to know that f.read() after read file sets the pointer to the EOF so if you again use f.read() it gives you empty string ''. Secondly you should use r before string passed as a pattern of re.search function, which means raw, and automatically escapes special characters. So you have to do something like this:
import re
f = open('C:/Users/Jyoti/Desktop/PythonPrograms/try.xml','r')
data = f.read()
opentag = re.search(r'<TEXT>',data)
begin = opentag.start()+6
print begin
closetag = re.search(r'</TEXT>',data)
end = closetag.start() - 1
print end
gl & hf with Python :)
Related
So I am reading and manipulate a file with :
base_file = open(path+'/'+base_name, "r")
lines = base_file.readlines()
After this I search and find the "raw_data" start of line.
if re.match("\s{0,100}raw_data: ",line):
split_line = line.split("raw_data:")
print(split_line)
raw_string = split_line[1]
One example of raw_data is:
raw_data: "&\276!\300\307 =\277\"O\271\277vH9?j?\345?#\243\264=\350\034\345\277\260\345\033\300\023\017(#z|\273\277L\}\277\210\\031\300\213\263z\277\302\241\033\300\000\207\323\277\247Oh>j\354\215#\364\305\201\276\361+\202#t:\304\277\344\231\243#\225k\002\300vw\262\277\362\220j\300\"(\337\276\354b8\300\230\347H\300\201\320\204\300S;N\300Z0G\300>j\210\000#\034\014\220#\231\330J#\223\025\236#\006\332\230\276\227\273\n\277\353#,#\202\205\215\277\340\356\022\300/\223\035\277\331\277\362\276a\350\013#)\353\276\277v6\316\277K\326\207\300`2)\300\004\014Q\300\340\267\271\300MV\305\300\327\010\207\300j\346o\300\377\260\216\300[\332g\300\336\266\003\300\320S\272?6\300Y#\356\250\034\300\367\277&\300\335Uq>o\010&\300r\277\252\300U\314\243\300\253d\377\300"
And raw_string will be
print(raw_data)
"&\276!\300\307
=\277\"O\271\277vH9?j?\345?#\243\264=\350\034\345\277\260\345\033\300\023\017(#z|\273\277L\}\277\210\\031\300\213\263z\277\302\241\033\300\000\207\323\277\247Oh>j\354\215#\364\305\201\276\361+\202#t:\304\277\344\231\243#\225k\002\300vw\262\277\362\220j\300\"(\337\276\354b8\300\230\347H\300\201\320\204\300S;N\300Z0G\300>j\210\000#\034\014\220#\231\330J#\223\025\236#\006\332\230\276\227\273\n\277\353#,#\202\205\215\277\340\356\022\300/\223\035\277\331\277\362\276a\350\013#)\353\276\277v6\316\277K\326\207\300`2)\300\004\014Q\300\340\267\271\300MV\305\300\327\010\207\300j\346o\300\377\260\216\300[\332g\300\336\266\003\300\320S\272?6\300Y#\356\250\034\300\367\277&\300\335Uq>o\010&\300r\277\252\300U\314\243\300\253d\377\300"
If I tried to read this file I will obtain one char to one char even for escape characters.
So, my question is how to transform this plain text to utf-8 string so that I can have one character when reading \300 and not 4 characters.
I tried to pass "encondig =utf-8" in open file method but does not work.
I have made the same example passing raw_data as variable and it works properly.
RAW_DATA = "&\276!\300\307 =\277\"O\271\277vH9?j?\345?#\243\264=\350\034\345\277\260\345\033\300\023\017(#z|\273\277L\\}\277\210\\\031\300\213\263z\277\302\241\033\300\000\207\323\277\247Oh>j\354\215#\364\305\201\276\361+\202#t:\304\277\344\231\243#\225k\002\300vw\262\277\362\220j\300\"(\337\276\354b8\300\230\347H\300\201\320\204\300S;N\300Z0G\300<I>>j\210\000#\034\014\220#\231\330J#\223\025\236#\006\332\230\276\227\273\n\277\353#,#\202\205\215\277\340\356\022\300/\223\035\277\331\277\362\276a\350\013#)\353\276\277v6\316\277K\326\207\300`2)\300\004\014Q\300\340\267\271\300MV\305\300\327\010\207\300j\346o\300\377\260\216\300[\332g\300\336\266\003\300\320S\272?6\300Y#\356\250\034\300\367\277&\300\335Uq>o\010&\300r\277\252\300U\314\243\300\253d\377\300"
print(f"Qnt -> {len(RAW_DATA)}") # Qnt -> 256
print(type(RAW_DATA))
at = 0
total = 0
while at < len(RAW_DATA):
fin = at+4
substrin = RAW_DATA[at:fin]
resu = FourString_float(substrin)
at = fin
For this example \300 is only one char.
Hope someone can help me.
The problem is that on the read file the escape \ symbols are coming in as \, but in the example you've provided they are being evaluated as part of the numerics that follow it. ie, \276 is read as a single character.
If you run:
RAW_DATA = r"&\276!\300\307 =\277\"O\271\277vH9?j?\345?#\243\264=\350\034\345\277\260\345\033\300\023\017(#z|\273\277L\\}\277\210\\\031\300\213\263z\277\302\241\033\300\000\207\323\277\247Oh>j\354\215#\364\305\201\276\361+\202#t:\304\277\344\231\243#\225k\002\300vw\262\277\362\220j\300\"(\337\276\354b8\300\230\347H\300\201\320\204\300S;N\300Z0G\300<I>>j\210\000#\034\014\220#\231\330J#\223\025\236#\006\332\230\276\227\273\n\277\353#,#\202\205\215\277\340\356\022\300/\223\035\277\331\277\362\276a\350\013#)\353\276\277v6\316\277K\326\207\300`2)\300\004\014Q\300\340\267\271\300MV\305\300\327\010\207\300j\346o\300\377\260\216\300[\332g\300\336\266\003\300\320S\272?6\300Y#\356\250\034\300\367\277&\300\335Uq>o\010&\300r\277\252\300U\314\243\300\253d\377\300"
print(f"Qnt -> {len(RAW_DATA)}") # Qnt -> 256
print(type(RAW_DATA))
at = 0
total = 0
while at < len(RAW_DATA):
fin = at+4
substrin = RAW_DATA[at:fin]
resu = FourString_float(substrin)
at = fin
You would should be getting the same error that you were getting originally. Notice that we are using the raw-string literal instead of regular string literal. This will ensure that the \ don't get escaped.
You would need to evaluate the RAW_DATA to force it to evaluate the \.
You can do something like RAW_DATA = eval(f'"{RAW_DATA}"') or
import ast
RAW_DATA = ast.literal_eval(f'"{RAW_DATA}"')
Note, the second option is a bit more secure that doing a straight eval as you are limiting the scope of what can be executed.
I'm trying to read a null terminated string but i'm having issues when unpacking a char and putting it together with a string.
This is the code:
def readString(f):
str = ''
while True:
char = readChar(f)
str = str.join(char)
if (hex(ord(char))) == '0x0':
break
return str
def readChar(f):
char = unpack('c',f.read(1))[0]
return char
Now this is giving me this error:
TypeError: sequence item 0: expected str instance, int found
I'm also trying the following:
char = unpack('c',f.read(1)).decode("ascii")
But it throws me:
AttributeError: 'tuple' object has no attribute 'decode'
I don't even know how to read the chars and add it to the string, Is there any proper way to do this?
Here's a version that (ab)uses __iter__'s lesser-known "sentinel" argument:
with open('file.txt', 'rb') as f:
val = ''.join(iter(lambda: f.read(1).decode('ascii'), '\x00'))
How about:
myString = myNullTerminatedString.split("\x00")[0]
For example:
myNullTerminatedString = "hello world\x00\x00\x00\x00\x00\x00"
myString = myNullTerminatedString.split("\x00")[0]
print(myString) # "hello world"
This works by splitting the string on the null character. Since the string should terminate at the first null character, we simply grab the first item in the list after splitting. split will return a list of one item if the delimiter doesn't exist, so it still works even if there's no null terminator at all.
It also will work with byte strings:
myByteString = b'hello world\x00'
myStr = myByteString.split(b'\x00')[0].decode('ascii') # "hello world" as normal string
If you're reading from a file, you can do a relatively larger read - estimate how much you'll need to read to find your null string. This is a lot faster than reading byte-by-byte. For example:
resultingStr = ''
while True:
buf = f.read(512)
resultingStr += buf
if len(buf)==0: break
if (b"\x00" in resultingStr):
extraBytes = resultingStr.index(b"\x00")
resultingStr = resultingStr.split(b"\x00")[0]
break
# now "resultingStr" contains the string
f.seek(0 - extraBytes,1) # seek backwards by the number of bytes, now the pointer will be on the null byte in the file
# or f.seek(1 - extraBytes,1) to skip the null byte in the file
(edit version 2, added extra way at the end)
Maybe there are some libraries out there that can help you with this, but as I don't know about them lets attack the problem at hand with what we know.
In python 2 bytes and string are basically the same thing, that change in python 3 where string is what in py2 is unicode and bytes is its own separate type, which mean that you don't need to define a read char if you are in py2 as no extra work is required, so I don't think you need that unpack function for this particular case, with that in mind lets define the new readString
def readString(myfile):
chars = []
while True:
c = myfile.read(1)
if c == chr(0):
return "".join(chars)
chars.append(c)
just like with your code I read a character one at the time but I instead save them in a list, the reason is that string are immutable so doing str+=char result in unnecessary copies; and when I find the null character return the join string. And chr is the inverse of ord, it will give you the character given its ascii value. This will exclude the null character, if its needed just move the appending...
Now lets test it with your sample file
for instance lets try to read "Sword_Wea_Dummy" from it
with open("sword.blendscn","rb") as archi:
#lets simulate that some prior processing was made by
#moving the pointer of the file
archi.seek(6)
string=readString(archi)
print "string repr:", repr(string)
print "string:", string
print ""
#and the rest of the file is there waiting to be processed
print "rest of the file: ", repr(archi.read())
and this is the output
string repr: 'Sword_Wea_Dummy'
string: Sword_Wea_Dummy
rest of the file: '\xcd\xcc\xcc=p=\x8a4:\xa66\xbfJ\x15\xc6=\x00\x00\x00\x00\xeaQ8?\x9e\x8d\x874$-i\xb3\x00\x00\x00\x00\x9b\xc6\xaa2K\x15\xc6=;\xa66?\x00\x00\x00\x00\xb8\x88\xbf#\x0e\xf3\xb1#ITuB\x00\x00\x80?\xcd\xcc\xcc=\x00\x00\x00\x00\xcd\xccL>'
other tests
>>> with open("sword.blendscn","rb") as archi:
print readString(archi)
print readString(archi)
print readString(archi)
sword
Sword_Wea_Dummy
ÍÌÌ=p=Š4:¦6¿JÆ=
>>> with open("sword.blendscn","rb") as archi:
print repr(readString(archi))
print repr(readString(archi))
print repr(readString(archi))
'sword'
'Sword_Wea_Dummy'
'\xcd\xcc\xcc=p=\x8a4:\xa66\xbfJ\x15\xc6='
>>>
Now that I think about it, you mention that the data portion is of fixed size, if that is true for all files and the structure on all of them is as follow
[unknow size data][know size data]
then that is a pattern we can exploit, we only need to know the size of the file and we can get both part smoothly as follow
import os
def getDataPair(filename,knowSize):
size = os.path.getsize(filename)
with open(filename, "rb") as archi:
unknown = archi.read(size-knowSize)
know = archi.read()
return unknown, know
and by knowing the size of the data portion, its use is simple (which I get by playing with the prior example)
>>> strins_data, data = getDataPair("sword.blendscn", 80)
>>> string_data, data = getDataPair("sword.blendscn", 80)
>>> string_data
'sword\x00Sword_Wea_Dummy\x00'
>>> data
'\xcd\xcc\xcc=p=\x8a4:\xa66\xbfJ\x15\xc6=\x00\x00\x00\x00\xeaQ8?\x9e\x8d\x874$-i\xb3\x00\x00\x00\x00\x9b\xc6\xaa2K\x15\xc6=;\xa66?\x00\x00\x00\x00\xb8\x88\xbf#\x0e\xf3\xb1#ITuB\x00\x00\x80?\xcd\xcc\xcc=\x00\x00\x00\x00\xcd\xccL>'
>>> string_data.split(chr(0))
['sword', 'Sword_Wea_Dummy', '']
>>>
Now to get each string a simple split will suffice and you can pass the rest of the file contained in data to the appropriated function to be processed
Doing file I/O one character at a time is horribly slow.
Instead use readline0, now on pypi: https://pypi.org/project/readline0/ . Or something like it.
In 3.x, there's a "newline" argument to open, but it doesn't appear to be as flexible as readline0.
Here is my implementation:
import struct
def read_null_str(f):
r_str = ""
while 1:
back_offset = f.tell()
try:
r_char = struct.unpack("c", f.read(1))[0].decode("utf8")
except:
f.seek(back_offset)
temp_char = struct.unpack("<H", f.read(2))[0]
r_char = chr(temp_char)
if ord(r_char) == 0:
return r_str
else:
r_str += r_char
In order to make sure I start and stop reading a text file exactly where I want to, I am providing 'start1'<->'end1', 'start2'<->'end2' as tags in between the text file and providing that to my python script. In my script I read it as:
start_end = ['start1','end1']
line_num = []
with open(file_path) as fp1:
for num, line in enumerate(fp1, 1):
for i in start_end:
if i in line:
line_num.append(num)
fp1.close()
print '\nLine number: ', line_num
fp2 = open(file_path)
for k, line2 in enumerate(fp2):
for x in range(line_num[0], line_num[1] - 1):
if k == x:
header.append(line2)
fp2.close()
This works well until I reach start10 <-> end10 and further. Eg. it checks if I have "start2" in the line and also reads the text that has "start21" and similarly for end tag as well. so providing "start1, end1" as input also reads "start10, end10". If I replace the line:
if i in line:
with
if i == line:
it throws an error.
How can I make sure that the script reads the line that contains ONLY "start1" and not "start10"?
import re
prog = re.compile('start1$')
if prog.match(line):
print line
That should return None if there is no match and return a regex match object if the line matches the compiled regex. The '$' at the end of the regex says that's the end of the line, so 'start1' works but 'start10' doesn't.
or another way..
def test(line):
import re
prog = re.compile('start1$')
return prog.match(line) != None
> test('start1')
True
> test('start10')
False
Since your markers are always at the end of the line, change:
start_end = ['start1','end1']
to:
start_end = ['start1\n','end1\n']
You probably want to look into regular expressions. The Python re library has some good regex tools. It would let you define a string to compare your line to and it has the ability to check for start and end of lines.
If you can control the input file, consider adding an underscore (or any non-number character) to the end of each tag.
'start1_'<->'end1_'
'start10_'<->'end10_'
The regular expression solution presented in other answers is more elegant, but requires using regular expressions.
You can do this with find():
for num, line in enumerate(fp1, 1):
for i in start_end:
if i in line:
# make sure the next char isn't '0'
if line[line.find(i)+len(i)] != '0':
line_num.append(num)
I am using this code to find difference between two csv list and hove some formatting questions. This is probably an easy fix, but I am new and trying to learn and having alot of problems.
import difflib
diff=difflib.ndiff(open('test1.csv',"rb").readlines(), open('test2.csv',"rb").readlines())
try:
while 1:
print diff.next(),
except:
pass
the code works fine and I get the output I am looking for as:
Group,Symbol,Total
- Adam,apple,3850
? ^
+ Adam,apple,2850
? ^
bob,orange,-45
bob,lemon,66
bob,appl,-56
bob,,88
My question is how do I clean the formatting up, can I make the Group,Symbol,Total into sperate columns, and the line up the text below?
Also can i change the ? to represent a text I determine? such as test 1 and test 2 representing which sheet it comes from?
thanks for any help
Using difflib.unified_diff gives much cleaner output, see below.
Also, both difflib.ndiff and difflib.unified_diff return a Differ object that is a generator object, which you can directly use in a for loop, and that knows when to quit, so you don't have to handle exceptions yourself. N.B; The comma after line is to prevent print from adding another newline.
import difflib
s1 = ['Adam,apple,3850\n', 'bob,orange,-45\n', 'bob,lemon,66\n',
'bob,appl,-56\n', 'bob,,88\n']
s2 = ['Adam,apple,2850\n', 'bob,orange,-45\n', 'bob,lemon,66\n',
'bob,appl,-56\n', 'bob,,88\n']
for line in difflib.unified_diff(s1, s2, fromfile='test1.csv',
tofile='test2.csv'):
print line,
This gives:
--- test1.csv
+++ test2.csv
## -1,4 +1,4 ##
-Adam,apple,3850
+Adam,apple,2850
bob,orange,-45
bob,lemon,66
bob,appl,-56
So you can clearly see which lines were changed between test1.csv and test1.csv.
To line up the columns, you must use string formatting.
E.g. print "%-20s %-20s %-20s" % (row[0],row[1],row[2]).
To change the ? into any text test you like, you'd use s.replace('any text i like').
Your problem has more to do with the CSV format, since difflib has no idea it's looking at columnar fields. What you need is to figure out into which field the guide is pointing, so that you can adjust it when printing the columns.
If your CSV files are simple, i.e. they don't contain any quoted fields with embedded commas or (shudder) newlines, you can just use split(',') to separate them into fields, and figure out where the guide points as follows:
def align(line, guideline):
"""
Figure out which field the guide (^) points to, and the offset within it.
E.g., if the guide points 3 chars into field 2, return (2, 3)
"""
fields = line.split(',')
guide = guideline.index('^')
f = p = 0
while p + len(fields[f]) < guide:
p += len(fields[f]) + 1 # +1 for the comma
f += 1
offset = guide - p
return f, offset
Now it's easy to show the guide properly. Let's say you want to align your columns by printing everything 12 spaces wide:
diff=difflib.ndiff(...)
for line in diff:
code = line[0] # The diff prefix
print code,
if code == '?':
fld, offset = align(lastline, line[2:])
for f in range(fld):
print "%-12s" % '',
print ' '*offset + '^'
else:
fields = line[2:].rstrip('\r\n').split(',')
for f in fields:
print "%-12s" % f,
print
lastline = line[2:]
Be warned that the only reliable way to parse CSV files is to use the csv module (or a robust alternative); but getting it to play well with the diff format (in full generality) would be a bit of a headache. If you're mainly interested in readability and your CSV isn't too gnarly, you can probably live with an occasional mix-up.
I'm trying to test for a /t or a space character and I can't understand why this bit of code won't work. What I am doing is reading in a file, counting the loc for the file, and then recording the names of each function present within the file along with their individual lines of code. The bit of code below is where I attempt to count the loc for the functions.
import re
...
else:
loc += 1
for line in infile:
line_t = line.lstrip()
if len(line_t) > 0 \
and not line_t.startswith('#') \
and not line_t.startswith('"""'):
if not line.startswith('\s'):
print ('line = ' + repr(line))
loc += 1
return (loc, name)
else:
loc += 1
elif line_t.startswith('"""'):
while True:
if line_t.rstrip().endswith('"""'):
break
line_t = infile.readline().rstrip()
return(loc,name)
Output:
Enter the file name: test.txt
line = '\tloc = 0\n'
There were 19 lines of code in "test.txt"
Function names:
count_loc -- 2 lines of code
As you can see, my test print for the line shows a /t, but the if statement explicitly says (or so I thought) that it should only execute with no whitespace characters present.
Here is my full test file I have been using:
def count_loc(infile):
""" Receives a file and then returns the amount
of actual lines of code by not counting commented
or blank lines """
loc = 0
for line in infile:
line = line.strip()
if len(line) > 0 \
and not line.startswith('//') \
and not line.startswith('/*'):
loc += 1
func_loc, func_name = checkForFunction(line);
elif line.startswith('/*'):
while True:
if line.endswith('*/'):
break
line = infile.readline().rstrip()
return loc
if __name__ == "__main__":
print ("Hi")
Function LOC = 15
File LOC = 19
\s is only whitespace to the re package when doing pattern matching.
For startswith, an ordinary method of ordinary strings, \s is nothing special. Not a pattern, just characters.
Your question has already been answered and this is slightly off-topic, but...
If you want to parse code, it is often easier and less error-prone to use a parser. If your code is Python code, Python comes with a couple of parsers (tokenize, ast, parser). For other languages, you can find a lot of parsers on the internet. ANTRL is a well-known one with Python bindings.
As an example, the following couple of lines of code print all lines of a Python module that are not comments and not doc-strings:
import tokenize
ignored_tokens = [tokenize.NEWLINE,tokenize.COMMENT,tokenize.N_TOKENS
,tokenize.STRING,tokenize.ENDMARKER,tokenize.INDENT
,tokenize.DEDENT,tokenize.NL]
with open('test.py', 'r') as f:
g = tokenize.generate_tokens(f.readline)
line_num = 0
for a_token in g:
if a_token[2][0] != line_num and a_token[0] not in ignored_tokens:
line_num = a_token[2][0]
print(a_token)
As a_token above is already parsed, you can easily check for function definition, too. You can also keep track where the function ends by looking at the current column start a_token[2][1]. If you want to do more complex things, you should use ast.
You string literals aren't what you think they are.
You can specify a space or TAB like so:
space = ' '
tab = '\t'