rd | rd is a record/replay debugger written in rust | Code Inspection library
kandi X-RAY | rd Summary
kandi X-RAY | rd Summary
The Record & Debug Tool (rd) is a Rust language port of the rr-debugger/rr debugger. With rd you can record Linux program executions. Subsequently you can replay these executions back exactly and debug them in the gdb front-end. If you know how to use rr then you already know how to use rd.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rd
rd Key Features
rd Examples and Code Snippets
def get_or_create_steps_per_run_variable():
"""Gets or creates the steps_per_run variable.
In Estimator, the user provided computation, the model_fn, is wrapped
inside a tf.while_loop for peak performance. The iterations of the loop are
spec
Community Discussions
Trending Discussions on rd
QUESTION
I have dataflow pipeline, it's in Python and this is what it is doing:
Read Message from PubSub. Messages are zipped protocol buffer. One Message receive on a PubSub contain multiple type of messages. See the protocol parent's message specification below:
...
ANSWER
Answered 2021-Apr-16 at 18:49How about using TaggedOutput.
QUESTION
Here is my program which generates random name:
...ANSWER
Answered 2021-Jun-10 at 14:04You could do this by running a while loop until the generated string does not match your unwanted strings.
For example:
QUESTION
i wrote the node js get api with restaurant details. result is fine. how to get the map with required fields? bulk of fields are there but i required 2 fields only restaurant name and address. i am learning node js.
...ANSWER
Answered 2021-Jun-14 at 07:39You can use Array map function to iterate over the array. This map function will return new Array.
QUESTION
I am trying to match the left and tight addresses (from separate tables) on a reference index (coClean) which I created with the following formula in #Python #JupyterNotebook
...ANSWER
Answered 2021-Jun-12 at 11:22import pandas as pd
df1 = pd.DataFrame({"Address_x":["7 Pindara Bvd LANGWARRIN VIC 3910","2a Manor St BACCHUS MARSH VIC 3340","38 Sommersby Rd POINT COOK VIC 3030","17 Moira Avenue, Carnegie, Vic 3163"],"Address_y":["7 Pindara Blv, Langwarrin, VIC 3910","2a Manor Street, BACCHUS MARSH, VIC 3340","38 Sommersby Road, Point Cook, VIC 3030","17 Moira Avenue, Carnegie, Vic 3163"]})
def cleanAddress(series):
cocleans=[]
for address in series:
number_of_letters=0
coclean=""
for i in range(len(address)):
if address[i].isnumeric():
coclean+=address[i]
elif address[i].isalpha():
number_of_letters+=1
coclean+=address[i]
if number_of_letters==4:
break
for i in range(i,len(address)):
if address[i].isnumeric():
coclean+=address[i]
cocleans.append(coclean.lower())
return cocleans
df1["coClean"]=cleanAddress(df1["Address_x"])
QUESTION
As I have already known by some people's suggest, diable http.sslVerify is a bad idea, and according to some post, the best practice is to add the gitlab server CA to local, so I tried it in different ways:
- Add the CA file path to git config
...
ANSWER
Answered 2021-Jun-12 at 05:32QUESTION
Display department wise total salary for each job designation like junior,saleswomen,supervisor. *without using spark.sql()
INPUT
...ANSWER
Answered 2021-Jun-11 at 18:44Your groupBy/agg
is on the right track except that filter("job")
makes no sense in agg()
. Use pivot
on column job
instead, as shown below:
QUESTION
I have a data frame that has a classification
column which contains four values: D1
, D2
, D8
, and RD
.
I want to remove all records (rows) where the classification is either D1
or RD
.
I have tried this:
...ANSWER
Answered 2021-Jun-11 at 10:34It's better to think "how do I create an object in the form I want", than "how do I manipulate this object in place". So you can use the following syntax:
QUESTION
See here for a working example of my Google Sheet
See here to access my Google App Script for the Google Sheet
I have been working on a project that will be able to take the typed name of a place on Google Maps and then use the Places API and Place Details to pull in the associated information.
One bit of info I pull in is the open business hours, called the place.weekday_text
which comes in looking like this:
ANSWER
Answered 2021-Jun-08 at 20:42You already have your JSON data in a string, so you need to parse it into a JavaScript object (an array in your case):
QUESTION
Pandas Series.value_counts()
has a dropna
parameter but DataFrame.value_counts()
not. That is my problem. But I am sure there is a reason and an alternative solution for it.
The usecase is that I want to count pattern (value combinations of specific columns) in my DataFrame. For that usecase I want to count None
/NaN
, too.
This is the data with 8 rows.
...ANSWER
Answered 2021-Jun-10 at 09:27I think it is not supported yet, possible alternative solution:
QUESTION
What's the difference between this two literal string definitions?:
...ANSWER
Answered 2021-Jun-08 at 19:18In the first case the string literal decays to pointer.
In the second case the string literal gets stored to an array of char that the compiler will automatically size to fit the literal complete with the null terminator.
With the second you are retaining more information in your variable.
So for example you can call std::size
on the second but not on the first.
Calling a printing function that takes const char*
should be the same with both cases. Since in the second case the const char[]
would decay to pointer at the moment of the function call.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rd
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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