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I am trying to run the following command in ubuntu terminal
patch -p0 -i adjustmentFile.patch
That is giving the following error
patching file ./src/helpStructures/CastaliaModule.cc
patching file ./src/node/communication/mac/tunableMac/TunableMAC.cc
Hunk #2 FAILED at 456.
1 out of 2 hunks FAILED -- saving rejects to file ./src/node/communication/mac/tunableMac/TunableMAC.cc.rej
I tried almost all the ways suggested in the link Hunk #1 FAILED at 1. What's that mean?. However, nothing worked.
Here is my version detail
VIM - Vi IMproved 8.0 (2016 Sep 12, compiled Jun 06 2019 17:31:41)
Included patches: 1-1453
The patch file:
diff -r -u ./src/helpStructures/CastaliaModule.cc ./src/helpStructures/CastaliaModule.cc
--- ./src/helpStructures/CastaliaModule.cc 2010-12-09 09:56:47.000000000 -0300
+++ ./src/helpStructures/CastaliaModule.cc 2011-12-20 00:16:39.944320051 -0300
## -180,6 +180,8 ##
classPointers.resourceManager = getParentModule()->getParentModule()->getSubmodule("ResourceManager");
else if (name.compare("SensorManager") == 0)
classPointers.resourceManager = getParentModule()->getSubmodule("ResourceManager");
+ else if (name.compare("Routing") == 0)
+ classPointers.resourceManager = getParentModule()->getParentModule()->getSubmodule("ResourceManager");
else
opp_error("%s module has no rights to call drawPower() function", getFullPath().c_str());
if (!classPointers.resourceManager)
Only in ./src/helpStructures: CastaliaModule.cc~
diff -r -u ./src/node/communication/mac/tunableMac/TunableMAC.cc ./src/node/communication/mac/tunableMac/TunableMAC.cc
--- ./src/node/communication/mac/tunableMac/TunableMAC.cc 2011-03-30 02:14:34.000000000 -0300
+++ ./src/node/communication/mac/tunableMac/TunableMAC.cc 2011-12-19 23:57:43.894686687 -0300
## -405,6 +405,8 ##
void TunableMAC::fromRadioLayer(cPacket * pkt, double rssi, double lqi)
{
TunableMacPacket *macFrame = dynamic_cast <TunableMacPacket*>(pkt);
+ macFrame->getMacRadioInfoExchange().RSSI = rssi;
+ macFrame->getMacRadioInfoExchange().LQI = lqi;
if (macFrame == NULL){
collectOutput("TunableMAC packet breakdown", "filtered, other MAC");
return;
## -454,7 +456,8 ##
}
case DATA_FRAME:{
- toNetworkLayer(macFrame->decapsulate());
+ cPacket *netPkt = decapsulatePacket(macFrame);
+ toNetworkLayer(netPkt);
collectOutput("TunableMAC packet breakdown", "received data pkts");
if (macState == MAC_STATE_RX) {
cancelTimer(ATTEMPT_TX);
Only in ./src/node/communication/mac/tunableMac: TunableMAC.cc~
Patching takes some changes made to a file X, and applies them to a different instance of file X. That is, suppose you start with generation 1 of file X; you make changes to get generation 2-a, and someone else starts with generation 1 to make generation 2-b. Now you want to take his edits that created his generation 2-b, and apply them to your generation 2-a.
If 'his' changes clash with 'your' changes, they cannot be automatically patched.
You'll need to look at the changes being made in hunk 2.
- toNetworkLayer(macFrame->decapsulate());
+ cPacket *netPkt = decapsulatePacket(macFrame);
+ toNetworkLayer(netPkt);
and figure out what you want the result to look like. Someone needs to know what the result is supposed to be. You can't resolve conflicts without knowledge of intent.
This one has been giving me a headache for quite some time now, even though it seems to be very basic.
I have the vgg16 network downloaded as a .cpkt
(from https://github.com/tensorflow/models/blob/master/slim/README.md#Pretrained)
Now what I want to do is loading for example the tensor of the first convolution layer of this network as an array in R.
I tried
restorer = tf$train$Saver()
sess = tf$Session()
restorer$restore(sess, "/home/beheerder/R/vgg_16.ckpt")
But then I do not see any variables apearing in my enviroment.
I'm working in R, but an awnser in Python is OK as well, as I can probably translate it to R.
Saver takes the variables to restore in constructor. In other words, you have to create the variables before you can restore them. Here is the example from Saver's doc:
v1 = tf.Variable(..., name='v1')
v2 = tf.Variable(..., name='v2')
# Pass the variables as a dict:
saver = tf.train.Saver({'v1': v1, 'v2': v2})
# Or pass them as a list.
saver = tf.train.Saver([v1, v2])
If you were to run the first line of your code in python you would get:
In [1]: import tensorflow as tf
In [2]: saver = tf.train.Saver()
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-18da33d742f9> in <module>()
----> 1 saver = tf.train.Saver()
/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.pyc in __init__(self, var_list, reshape, sharded, max_to_keep, keep_checkpoint_every_n_hours, name, restore_sequentially, saver_def, builder, defer_build, allow_empty, write_version, pad_step_number)
1054 self._pad_step_number = pad_step_number
1055 if not defer_build:
-> 1056 self.build()
1057 if self.saver_def:
1058 self._check_saver_def()
/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.pyc in build(self)
1075 return
1076 else:
-> 1077 raise ValueError("No variables to save")
1078 self._is_empty = False
1079 self.saver_def = self._builder.build(
ValueError: No variables to save
You can see how model variables are created before being restored in the 20 lines starting from https://github.com/tensorflow/models/blob/master/slim/train_image_classifier.py#L338
This code gets executed if you make a call to train_image_classifier.py similar to the flower example in https://github.com/tensorflow/models/blob/master/slim/README.md#fine-tuning-a-model-from-an-existing-checkpoint
I am trying to read in a csv in this form:
2014,92,1931,6.234,10.14
2014,92,1932,5.823,9.49
2014,92,1933,5.33,7.65
2014,92,1934,4.751,6.19
2014,92,1935,4.156,5.285
2014,92,1936,3.962,4.652
2014,92,1937,3.74,4.314
2014,92,1938,3.325,3.98
2014,92,1939,2.909,3.847
2014,92,1940,2.878,3.164
To be clear, this is (Year, Day of year, 2400hr time, and 2 columns of values).
I have had some thought on the matter in a previous question, but to no avail, and it's proving to be a matter of a few problems... (Create an indexed datetime from date/time info in 3 columns using pandas)
As noted in the above question, the following "read_csv" attempt
df = pd.read_csv("home_prepped.dat", parse_dates={"dt" : [0,1,2]},
date_parser=parser, header=None)
triggers a TypeError:
TypeError: parser() takes exactly 1 argument (3 given)
This is due to the "parse_dates" arg having 0,1,2 in it.
I have also tried putting them in double brackets [[0,1,2]] and get:
ValueError: [0, 1, 2] is not in list
I have gotten past this by setting parse_dates=True and thought I could just set_index after but get this:
TypeError: must be string, not numpy.int64
My parser gets hung up on the format too, and I have read conflicting stories about zero-padding the "day of year" value. Mine are not zero-padded, but even still, above errors aside I have had the format get hung up on the first value, the year! Here is the parser:
def parser(x):
return pd.datetime.strptime(x, '%Y %j %H%M')
So yea, I have had errors saying '2014' not recognized, and '92' (day of year) not recognized, but have been encouraged cause at least strptime has been able to make its way "through" to try out the format.
I am wondering if this has something to do with my data.
I am looking for a way to get this datetime info indexed as a datetime and I have had nothing but problems. I have gone ahead and padded some julians in case someone wants to test out the format being a problem of the padding, see below:
2014,092,1931,6.234,10.14
2014,092,1932,5.823,9.49
2014,092,1933,5.33,7.65
2014,092,1934,4.751,6.19
2014,092,1935,4.156,5.285
2014,092,1936,3.962,4.652
2014,092,1937,3.74,4.314
2014,092,1938,3.325,3.98
2014,092,1939,2.909,3.847
2014,092,1940,2.878,3.164
Thanks for your help guys, I am starting to really get frustrated here :S
After correcting your %m (month) to %M (minute), your code works for me:
>>> import pandas as pd
>>> print pd.version.version
0.15.2-10-gf7af818
>>>
>>> def parser(x):
... return pd.datetime.strptime(x, '%Y %j %H%M')
...
>>> df = pd.read_csv("home_prepped.dat", parse_dates={"dt" : [0,1,2]},
... date_parser=parser, header=None)
>>> df
dt 3 4
0 2014-04-02 19:31:00 6.234 10.140
1 2014-04-02 19:32:00 5.823 9.490
2 2014-04-02 19:33:00 5.330 7.650
3 2014-04-02 19:34:00 4.751 6.190
4 2014-04-02 19:35:00 4.156 5.285
5 2014-04-02 19:36:00 3.962 4.652
6 2014-04-02 19:37:00 3.740 4.314
7 2014-04-02 19:38:00 3.325 3.980
8 2014-04-02 19:39:00 2.909 3.847
9 2014-04-02 19:40:00 2.878 3.164
But after playing around with this for a little while, there are some very strange behaviours when an error happens, leading to some odd error messages, so I can see why it's very hard to debug this.
If for some reason the above isn't working, you could try doing the parsing yourself:
df = pd.read_csv("home_prepped.dat", header=None)
timestr = df.iloc[:,:3].astype(str).apply(' '.join,axis=1)
df = df.iloc[:,3:]
times = pd.to_datetime(timestr, format='%Y %j %H%M')
df["dt"] = times
As mentioned above, when something goes wrong (e.g. a parse error) the error messages are very confusing from within read_csv.
The following seems to work, i think. Keep in mind this is the first time I have ever brought anything into pandas to work with so not sure how to properly test it, but it recognizes the format and says:
<class 'pandas.tseries.index.DatetimeIndex'>
[2014-04-02 19:31:00, ..., 2014-12-21 23:59:00]
Length: 337917, Freq: None, Timezone: None
Which is sweet, as I believe this means I have finally indexed a datetime!
Here is what I did...
In [41]:
import numpy as np
import pandas as pd
from datetime import datetime
In [60]:
def parse(yr, yearday, hrmn):
date_string = ''.join([yr, yearday, hrmn])
return datetime.strptime(date_string,"%Y%j%H%M")
In [61]:
df = pd.read_csv('home_prepped.csv', parse_dates={'datetime':[0,1,2]}, date_parser=parse, index_col='datetime', header=None)
Now I tried to put a space in between the '' before the .join and it separated the %Y %j but only managed to see a "1" as part of the %H. So I got rid of the space and changed the format to be spaceless as well.
Thanks for your work on this DSM.
Noob here,
I'm stuck at trying to present user input in military time into standard time. The code works so far, but I need to subtract 12 hours from the end time to display in standard time. How do I do this using datetime.time? Also, do I need to convert the original user input to an integer to perform datetime.timedelta calculations? Previous questions don't seem to answer my coding questions.
My code is:
def timeconvert():
print "Hello and welcome to Python Payroll 1.0."
print ""
# User input for start time. Variable stored.
start = raw_input("Enter your check-in time in military format (0900): ")
# User input for end time. Variable stored.
end = raw_input("Enter your check-out time in military format (1700): ")
print ""
# ---------------------------------------------------------------------------
# Present user input in standard time format hhmm = hh:mm
# ---------------------------------------------------------------------------
import datetime, time
convert_start = datetime.time(hour=int(start[0:2]), minute=int(start[2:4]))
# need to find a way to subtract 12 from the hour to present end time in standard time
convert_end = datetime.time(hour=int(end[0:2]), minute=int(end[2:4]))
print 'You started at', convert_start.strftime("%H:%M"),'am', 'and ended at', convert_end.strftime("%H:%M"), 'pm'
# ---------------------------------------------------------------------------
# Use timedelta to caculate time worked.
# ---------------------------------------------------------------------------
# print datetime.timedelta
timeconvert()
raw_input("Press ENTER to exit program") # Closes program.
Thanks.
You can use strftime("%I:%M %p") to get standard 12 hour formatting with "AM" or "PM" at the end. See the Python documentation for more details on datetime string formatting.
Also, while it is not natively supported, you can simply use the two datetime.time instances to do your calculation as part of the timedelata constructor.
The below code should suffice, though proper error checking should definitely be used. ;)
--ap
start = raw_input("Enter your check-in time in military format (0900): ")
end = raw_input("Enter your check-out time in military format (1700): ")
# convert user input to datetime instances
start_t = datetime.time(hour=int(start[0:2]), minute=int(start[2:4]))
end_t = datetime.time(hour=int(end[0:2]), minute=int(end[2:4]))
delta_t = datetime.timedelta(
hours = (end_t.hour - start_t.hour),
minutes = (end_t.minute - start_t.minute)
)
# datetime format
fmt = "%I:%M %p"
print 'You started at %s and ended at %s' % (start_t.strftime(fmt), end_t.strftime(fmt))
print 'You worked for %s' % (delta_t)
def time12hr(string):
hours = string[:2]
minutes = string[2:]
x = " "
if int(hours) == 12:
x = "p.m."
hours = "12"
elif int(hours) == 00:
x = "a.m."
hours = "12"
elif int(hours) > 12:
x = "p.m."
hours = str(int(hours) - 12)
else:
x = "a.m."
return "%s:%s %s"%(hours ,minutes,x)
print time12hr('1202')
print time12hr('1200')
print time12hr('0059')
print time12hr('1301')
print time12hr('0000')
I have a tab delimited file where each record has a timestamp field in 12-hour format:
mm/dd/yyyy hh:mm:ss [AM|PM].
I need to quickly convert these fields to 24-hour time:
mm/dd/yyyy HH:mm:ss.
What would be the best way to do this? I'm running on a Windows platform, but I have access to sed, awk, perl, python, and tcl in addition to the usual Windows tools.
Using Perl and hand-crafted regexes instead of facilities like strptime:
#!/bin/perl -w
while (<>)
{
# for date times that don't use leading zeroes, use this regex instead:
# (?:\d{1,2}/\d{1,2}/\d{4} )(\d{1,2})(?::\d\d:\d\d) (AM|PM)
while (m%(?:\d\d/\d\d/\d{4} )(\d\d)(?::\d\d:\d\d) (AM|PM)%)
{
my $hh = $1;
$hh -= 12 if ($2 eq 'AM' && $hh == 12);
$hh += 12 if ($2 eq 'PM' && $hh != 12);
$hh = sprintf "%02d", $hh;
# for date times that don't use leading zeroes, use this regex instead:
# (\d{1,2}/\d{1,2}/\d{4} )(\d{1,2})(:\d\d:\d\d) (?:AM|PM)
s%(\d\d/\d\d/\d{4} )(\d\d)(:\d\d:\d\d) (?:AM|PM)%$1$hh$3%;
}
print;
}
That's very fussy - but also converts possibly multiple timestamps per line.
Note that the transformation for AM/PM to 24-hour is not trivial.
12:01 AM --> 00:01
12:01 PM --> 12:01
01:30 AM --> 01:30
01:30 PM --> 13:30
Now tested:
perl ampm-24hr.pl <<!
12/24/2005 12:01:00 AM
09/22/1999 12:00:00 PM
12/12/2005 01:15:00 PM
01/01/2009 01:56:45 AM
12/30/2009 10:00:00 PM
12/30/2009 10:00:00 AM
!
12/24/2005 00:01:00
09/22/1999 12:00:00
12/12/2005 13:15:00
01/01/2009 01:56:45
12/30/2009 22:00:00
12/30/2009 10:00:00
Added:
In What is a Simple Way to Convert Between an AM/PM Time and 24 hour Time in JavaScript, an alternative algorithm is provided for the conversion:
$hh = ($1 % 12) + (($2 eq 'AM') ? 0 : 12);
Just one test...probably neater.
It is a 1-line thing in python:
time.strftime('%H:%M:%S', time.strptime(x, '%I:%M %p'))
Example:
>>> time.strftime('%H:%M:%S', time.strptime('08:01 AM', '%I:%M %p'))
'08:01:00'
>>> time.strftime('%H:%M:%S', time.strptime('12:01 AM', '%I:%M %p'))
'00:01:00'
Use Pythons datetime module someway like this:
import datetime
infile = open('input.txt')
outfile = open('output.txt', 'w')
for line in infile.readlines():
d = datetime.strptime(line, "input format string")
outfile.write(d.strftime("output format string")
Untested code with no error checking. Also it reads the entire input file in memory before starting.
(I know there is plenty of room for improvements like with statement...I make this a community wiki entry if anyone likes to add something)
To just convert the hour field, in python:
def to12(hour24):
return (hour24 % 12) if (hour24 % 12) > 0 else 12
def IsPM(hour24):
return hour24 > 11
def to24(hour12, isPm):
return (hour12 % 12) + (12 if isPm else 0)
def IsPmString(pm):
return "PM" if pm else "AM"
def TestTo12():
for x in range(24):
print x, to12(x), IsPmString(IsPM(x))
def TestTo24():
for pm in [False, True]:
print 12, IsPmString(pm), to24(12, pm)
for x in range(1, 12):
print x, IsPmString(pm), to24(x, pm)
This might be too simple thinking, but why not import it into excel, select the entire column and change the date format, then re-export as a tab delimited file? (I didn't test this, but it somehow sounds logical to me :)
Here i have converted 24 Hour system to 12 Hour system.
Try to use this method for your problem.
DateFormat fmt = new SimpleDateFormat("yyyyMMddHHssmm");
try {
Date date =fmt.parse("20090310232344");
System.out.println(date.toString());
fmt = new SimpleDateFormat("dd-MMMM-yyyy hh:mm:ss a ");
String dateInString = fmt.format(date);
System.out.println(dateInString);
} catch (Exception e) {
System.out.println(e.getMessage());
}
RESULT:
Tue Mar 10 23:44:23 IST 2009
10-March-2009 11:44:23 PM
In Python: Converting 12hr time to 24hr time
import re
time1=input().strip().split(':')
m=re.search('(..)(..)',time1[2])
sec=m.group(1)
tz=m.group(2)
if(tz='PM'):
time[0]=int(time1[0])+12
if(time1[0]=24):
time1[0]-=12
time[2]=sec
else:
if(int(time1[0])=12):
time1[0]-=12
time[2]=sec
print(time1[0]+':'+time1[1]+':'+time1[2])
Since you have multiple languages, I'll suggest the following algorithm.
1 Check the timestamp for the existence of the "PM" string.
2a If PM does not exist, simply convert the timestamp to the datetime object and proceed.
2b If PM does exist, convert the timestamp to the datetime object, add 12 hours, and proceed.