entry | Attach to LAIN app container via lain enter | Continuous Deployment library
kandi X-RAY | entry Summary
kandi X-RAY | entry Summary
Attach to LAIN app container via `lain enter`
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Top functions reviewed by kandi - BETA
- Enter the session
- configureAPI is used to configure the entry API
- ReplaySession is used to replay a session
- NewSession creates a new session
- Attach attaches the container to the container
- EscapeInput escapes the input .
- NewEntryAPI creates a new Entry instance
- Main entry point
- Authorize performs a basic auth .
- validateConsoleRole validates the console role against the given token
entry Key Features
entry Examples and Code Snippets
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""Convert a TensorFlow Python file from 1.x to 2.0
Simple usage:
tf_upgrade_v2.py --infile foo.py --outfile bar.py
tf_
def run_main(_):
"""Main in tflite_convert.py."""
use_v2_converter = tf2.enabled()
parser = _get_parser(use_v2_converter)
tflite_flags, unparsed = parser.parse_known_args(args=sys.argv[1:])
# If the user is running TensorFlow 2.X but has p
def main():
global FLAGS
parser = argparse.ArgumentParser(
description="Invoke toco using protos as input.")
parser.add_argument(
"model_proto_file",
type=str,
help="File containing serialized proto that describes the mo
Community Discussions
Trending Discussions on entry
QUESTION
I'm trying to remove an entry from the Caffeine cache manually. I have two attempts but I suspect that there are some problems with both of them:
This one seems like it could suffer from a race condition.
...ANSWER
Answered 2021-Jun-16 at 00:25You should use cache.asMap().remove(key)
as you suspected. The other call delegates to this, but does not return the value because that is not idiomatic for a cache.
The Cache
interface is opinionated for how one should commonly use a cache, while the asMap()
view is more raw to allow for advanced operations. For example, you generally wouldn't iterate over a cache (e.g. memcached doesn't allow this), but if you need to then the Map provides that support. All calls flow into the same backing structure, so there will be no inconsistency. The APIs merely try to nudge users towards best practices, but strive to not block a developer from getting their work done safely and correctly.
QUESTION
I understand that after calling fork() the child process inherits the per-process file descriptor table of its parent (pointing to the same system-wide open file tables). Hence, when opening a file in a parent process and then calling fork(), both the child and parent can write to that file without overwriting one another's output (due to a shared offset in the open-file table entry).
However, suppose that, we call open() on some file after a fork (in both the parent and the child). Will this create a separate entries in the system-wide open file table, with a separate set of offsets and read-write permission flags for the child (despite the fact that it's technically the same file)? I've tried looking this up and I don't seem to be able to find a clear answer.
I'm asking this mainly since I was playing around with writing to files, and it seems like only one the outputs of the parent and child ends up in the file in the aforementioned situation. This seemed to imply that there are separate entries in the open file table for the two separate open calls, and hence separate offsets, so the slower process overwrites the output of the other process.
To illustrate this, consider the following code:
...ANSWER
Answered 2021-May-03 at 20:22There is a difference between a file and a file descriptor (FD).
All processes share the same files. They don't necessarily have access to the same files, and a file is not its name, either; two different processes which open the same name might not actually open the same file, for example if the first file were renamed or unlinked and a new file were associated with the name. But if they do open the same file, it's necessarily shared, and changes will be mutually visible.
But a file descriptor is not a file. It refers to a file (not a filename, see above), but it also contains other information, including a file position used for and updated by calls to read
and write
. (You can use "positioned" read and write, pread
and pwrite
, if you don't want to use the position in the FD.) File descriptors are shared between parent and child processes, and so the file position in the FD is also shared.
Another thing stored in the file descriptor (in the kernel, where user processes can't get at it) is the list of permitted actions (on Unix, read, write, and/or execute, and possibly others). Permissions are stored in the file directory, not in the file itself, and the requested permissions are copied into the file descriptor when the file is opened (if the permissions are available.) It's possible for a child process to have a different user or group than the parent, particularly if the parent is started with augmented permissions but drops them before spawning the child. A file descriptor for a file opened in this manner still has the same permissions uf it is shared with a child, even if the child would itself be able to open the file.
QUESTION
I have a dataset with many columns and I'd like to locate the columns that have fewer than n unique responses and change just those columns into factors.
Here is one way I was able to do that:
...ANSWER
Answered 2021-Jun-15 at 20:29Here is a way using tidyverse
.
We can make use of where
within across
to select the columns with logical short-circuit expression where we check
- the columns are
numeric
- (is.numeric
) - if the 1 is TRUE, check whether number of distinct elements less than the user defined n
- if 2 is TRUE, then check
all
theunique
elements in the column are 0 and 1 - loop over those selected column and convert to
factor
class
QUESTION
I'm trying to somehow test a hooked file that uses an Apollo client connection entry and GraphQL:
See the error:
...
ANSWER
Answered 2021-Jun-15 at 20:47I finally found the solution to the problem:
QUESTION
entry = [["D 300"],["D 300"],["W 200"],["D 100"]]
def bankbalance(entry):
deposits = [float(entry[ent][0][2:]) for ent in entry if ("D" in entry[ent][0])]
withdrawals = [float(entry[ent][0][2:]) for ent in entry if ("W" in entry[ent][0])]
global balance
balance = sum(deposits) - sum(withdrawals)
bankbalance(entry)
Print(f'Current balance is {balance}')
...ANSWER
Answered 2021-Jun-15 at 11:02ent
is not the index, it is an element of entry, so you don't need entry[ent][0][2:]
, what you need is ent[0][2:]
.
Fixed code:
QUESTION
I am trying to create an app in which the user has the option to query the database by entering information into one of two entry boxes. I want to be able to use a single select statement and conditionally query the database based on what box the user enter their information into. I currently am trying to use a CASE clause, but I believe that it is running into an error when I try to include a WHERE clause in the THEN argument. Here is what I am currently working with:
...ANSWER
Answered 2021-Jun-15 at 19:54Move the CASE
expression to the WHERE
clause:
QUESTION
I have a dataset that was recorded by observation(each observation has its own row of data). I am looking to combine/condense these rows by the plant they were found on - currently a character variable. All other columns are numerical vales.
EX:
This is the raw data |Sci_Name|Honeybee_count|Other_bee_Obsevrved|Stem_count| |---|---|---|---| |Zizia aurea|1|5|10| |Asclepias viridiflora|15|1|3| |Viola unknown|0|0|4| |Zizia aurea|0|2|6| |Zizia aurea|3|6|3| |Asclepias viridiflora|8|2|17|
and I want:
Sci_Name Honeybee_count Other_bee_Obsevrved Stem_count Zizia aurea 4 13 19 Asclepias viridiflora 23 3 20 Viola unknown 0 0 4I am currently pulling this data from a CSV already in table form. I have been attempting to create a new table/data frame with one entry of each plant species, and blanks/0s for each other variable, which I can then use to c-binding the two together. This, however, has been clunky at best and I am having trouble figuring out how to have each row check itself. I am open to any approach, let me know what you think!
Thanks :D
...ANSWER
Answered 2021-Jun-15 at 18:02We can use the formula method in aggregate
from base R
. On the rhs of the ~
, specify the grouping variable and on the lhs, use .
for denoting the rest of the variables. Specify the FUN
as sum
and it will do the column wise sum by group
QUESTION
I am trying to write a python code contains the string(s) present in Dictionary List to be searched in Normal List
Dictionary List:
...ANSWER
Answered 2021-Jun-15 at 17:28Based on you question, I think this is what you want. Let me know if it was helpful.
QUESTION
I use the following code to update my widget's timeline, but the "result" which I fetched from the core data is not up-to-date.
My logic is when detecting the host app goes to background I call "WidgetCenter.shared.reloadAllTimelines()" and fetch the core data in the "getTimeline" function. After printing out the result, it is old data. Also I fetch the data with the same predicate under the .background, the data is up-to-date.
Also I show the date in the widget view body, when I close the host app, the date is refreshing. Means that the upper refreshing logic works fine. But just always get the old data.
Could someone help me out?
...ANSWER
Answered 2021-Jun-15 at 17:05Update:
I added the following code to refresh the core data before I fetch. Everything work as expect.
QUESTION
Suppose I start with a list as initial_list = [None] * 4
. By setting depth = D
, how can I define a routine to create a nested list of arbitrary depth in such way that each entry of the first list admits x-1
levels, being each level itself a list of other 4 elements. Something that afterwards would allow to slice data as for example myPrecious[0][0][3][0]
,myPrecious[3][2][1][0]
,... ?
ANSWER
Answered 2021-Jun-15 at 16:00You can use list comprehensions in a loop:
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