creep | Incremental deploy tool , from Git repository | Continuous Deployment library
kandi X-RAY | creep Summary
kandi X-RAY | creep Summary
Creep is an incremental deploy tool. It allows delta update from a local source (directory, Git repository or archive) to a FTP or SSH remote server. Its purpose is to deploy applications by incrementally copying local files to remote servers (e.g. production) with optional pre-processing. Incremental deployment means Creep keeps track of deployed files on all remote locations. Only modified files are transferred between two deployments. This tracking mechanism depends on the type of directory used, for exemple Creep uses revision hashes when deploying from a Git repository.
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Top functions reviewed by kandi - BETA
- Deploy files to the definition
- The order of the action
- Compare changes between source and revision file
- Ask question
- Send files to remote host
- Create a remote command
- Set the input
- Compare two revisions
- Execute the subprocess
- Set directory
- Send actions to FTP
- Explode a path
- Connect to FTP server
- Emit a record
- Whether the current stream is a tty
- Return the configuration as a list
- Log an error message
- Returns the diff between two revisions
- Recursively walk through entries_from
- Send actions to work
- Remove a file from base
- Read a file from ftp
- Read file from remote deployer
- Return the name of the current revision
- Load a configuration file
creep Key Features
creep Examples and Code Snippets
def principal_nodal_stress(self, rnum, nodes=None):
"""Computes the principal component stresses for each node in
the solution.
Parameters
----------
rnum : int or list
Cumulative result number with zero based i
numbers = []
while True:
print("Tell us a number")
numbers.append(int(input()))
print("Continue? (Y/N)")
confirm = input()
if confirm == "Y":
continue
if confirm == "N":
print(f"Largest number is
df = pd.read_csv(filename)
group = df.groupby('Year').count()[['Title']]
df2 = group.reset_index()
df2.plot(kind='bar', x="Year", y="Title")
df.value_counts("Year").plot(kind="bar")
import pickle
lst = [1,2,3]
with open("test.dat", "wb") as msg:
pickle.dump(lst, msg)
with open("test.dat", "ab+") as msg:
pickle.dump(lst, msg)
with open("test.dat", "rb") as msg:
print (pickle.load(msg))
newUser = User(**data)
class User(Base):
__tablename__ = "users"
address = Column(TEXT, primary_key=True)
fullName = Column(TEXT)
nickName = Column(TEXT)
profilePictureId = Column(INTEGER)
all_topics = ldamodel.get_document_topics(corpus_lda, minimum_probability=0.0)
all_topics_csr = gensim.matutils.corpus2csc(all_topics)
all_topics_numpy = all_topics_csr.T.toarray()
all_topics_df = pd.DataFrame(all_topics_numpy)
df['weekday_name'] = df['my_datetime_column'].dt.strftime('%A')
df = pd.concat([df, pd.get_dummies(df['weekday_name'])], axis=1).drop(['weekday_name', 'index'], axis=1)
angle = math.atan2(H[1,0], H[0,0])
u, _, vh = numpy.linalg.svd(H[0:2, 0:2])
R = u @ vh
angle = math.atan2(R[1,0], R[0,0])
# Scope the slot name in the namespace of the primary variable.
# Set "primary.op.name + '/' + name" as default name, so the scope name of
# optimizer can be shared when reuse is True. Meanwhile when reuse is False
# and the same name has
Community Discussions
Trending Discussions on creep
QUESTION
I am implementing a words/2
predicate in which a list of characters can be rendered to a list of the character as a word inside a list. I use the mathematical symbol <=>
to denote that they're working in any mode. Please advise if there's a better expression.
The example:
...ANSWER
Answered 2021-Jun-07 at 14:32split(_, [], [[]]).
split(C, [C|Xs], [[]|Ys]) :-
split(C, Xs, Ys).
split(C, [X|Xs], [[X|Y]|Ys]) :-
split(C, Xs, [Y|Ys]).
QUESTION
I have a Python 3.6 data processing task that involves pre-loading a large dict for looking up dates by ID for use in a subsequent step by a pool of sub-processes managed by the multiprocessing module. This process was eating up most if not all of the memory on the box, so one optimisation I applied was to 'intern' the string dates being stored in the dict. This reduced the memory footprint of the dict by several GBs as I expected it would, but it also had another unexpected effect.
Before applying interning, the sub-processes would gradually eat more and more memory as they executed, which I believe was down to them having to copy the dict gradually from global memory across to the sub-processes' individual allocated memory (this is running on Linux and so benefits from the copy-on-write behaviour of fork()). Even though I'm not updating the dict in the sub-processes, it looks like read-only access can still trigger copy-on-write through reference counting.
I was only expecting the interning to reduce the memory footprint of the dict, but in fact it stopped the memory usage gradually increasing over the sub-processes lifetime as well.
Here's a minimal example I was able to build that replicates the behaviour, although it requires a large file to load in and populate the dict with and a sufficient amount of repetition in the values to make sure that interning provides a benefit.
...ANSWER
Answered 2021-May-16 at 15:04The CPython
implementation stores interned strings in a global object that is a regular Python dictionary where both, keys and values are pointers to string objects.
When a new child process is created, it gets a copy of the parent's address space so they will use the reduced data dictionary with interned strings.
I've compiled Python with the patch below and as you can see, both processes have access to the table with interned strings:
test.py:
QUESTION
dependent-name 'BaseClock:: time_point' is parsed as a non-type, but instantiation yields a type
...ANSWER
Answered 2021-May-21 at 12:43This should fix your compilation error:
QUESTION
Apparently, in the move from Spring Boot 1 to Spring Boot 2 (Spring 5), the encoding behavior of URL parameters for RestTemplates changed. It seems unusually difficult to get a general query parameter on rest templates passed so that characters that have special meanings such as "+" get properly escaped. It seems that, since "+" is a valid character, it doesn't get escaped, even though its meaning gets altered (see here). This seems bizarre, counter-intuitive, and against every other convention on every other platform. More importantly, I can't figure out how to easily get around it. If I encode the string first, it gets double-encoded, because the "%"s get re-encoded. Anyway, this seems like it should be something very simple that the framework does, but I'm not figuring it out.
Here is my code that worked in Spring Boot 1:
...ANSWER
Answered 2021-May-04 at 16:07Found what I believe to be a decent solution. It turns out that a large part of the problem is actually the "exchange" function, which takes a string for a URL, but then re-encodes that URL for reasons I cannot fathom. However, the exchange function can be sent a java.net.URI instead. In this case, it does not try to interpolate anything, as it is already a URI. I then use java.net.URLEncoder.encode() to encode the pieces. I still have no idea why this isn't standard in Spring, but this should work.
QUESTION
This is for a class assignment, but I can't figure out how to fix my problem. I wrote the following:
...ANSWER
Answered 2021-Apr-20 at 20:09The code expects a flat list of terminals, but you have a nested [x,=,1]
in there. What you wanted is
QUESTION
I tried to write a simple Prolog program with the following ruleset.
...ANSWER
Answered 2021-Mar-14 at 11:42?- conc([2,3],[p,q],[2,3,p,q]).
Call: (8) conc([2, 3], [p, q], [2, 3, p, q]) ? creep
QUESTION
I am trying to build Qt3D as it seems to not ship by default with Qt6 anymore.
I just finished installation on ubuntu, without major issue (it would have helped if the install instruction could have mentioned that the vulkan sdk is required, which was not obvious, but after installing the SDK the compilation finished successfully). I used the Qt Creator to build the library.
I am trying to do the same on windows, I installed both perl and vulkan as per install instructions above. After opening the qt3d.pro project and attempting to build it in Release mode, I am getting stuck where vulkan is requires
...ANSWER
Answered 2021-Feb-23 at 20:46I should have mentioned, I was using the default kit MinGW on windows ... switching to MSVC seems to have worked and I am able to build the library now, not sure though why mingw did not work. Maybe some permission issue? Anyways, this solution is acceptable to me, leaving this answer here in case someone stumbles upon this in the future.
QUESTION
I recently started playing with Arduinos, and, coming from the Java world, I am struggling to contend with the constraints of microcontroller programming. I am slipping ever closer to the Arduino 2-kilobyte RAM limit.
A puzzle I face constantly is how to make code more reusable and reconfigurable, without increasing its compiled size, especially when it is used in only one particular configuration in a particular build.
For example, a generic driver class for 7-segment number displays will need, at minimum, configuration for the I/O pin number for each LED segment, to make the class usable with different circuits:
...ANSWER
Answered 2021-Mar-24 at 22:08You can use a single struct
to encapsulate these constants as named static constants, rather than as individual template parameters. You can then pass this struct
type as a single template parameter, and the template can expect to find each constant by name. For example:
QUESTION
isgreater([H1|T1],[H2|T2],D):-
H1 > H2,isgreater(T1,T2,['Yes'|D]).
isgreater([H1|T1],[H2|T2],D):-
H1 =< H2,isgreater(T1,T2,['No'|D]).
isgreater([],[],D).
...ANSWER
Answered 2021-Mar-28 at 12:31You can solve the problem as following:
QUESTION
Dataframe:
...ANSWER
Answered 2021-Mar-26 at 16:16The api offers a few different ways to do this (not a great thing imo). Here is one way to get what you want:
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