pathy | a python Path interface for file and cloud bucket storage | Cloud Storage library
kandi X-RAY | pathy Summary
kandi X-RAY | pathy Summary
Pathy is a python package (with type annotations) for working with Cloud Bucket storage providers using a pathlib interface. It provides an easy-to-use API bundled with a CLI app for basic file operations between local files and remote buckets. It enables a smooth developer experience by letting developers work against the local file system during development and only switch over to live APIs for deployment. It also makes converting bucket blobs into local files a snap with optional local file caching.
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Top functions reviewed by kandi - BETA
- Remove file or folder
- Return the client for the given scheme
- Delete the file identified by path
- Glues the given pattern
- Checks if the given path exists
- List blobs in a bucket
- Lookup a bucket for a given path
- Return a bucketS3
- Check if a path exists
- Lookup a bucket by path
- List all blobs in a path
- Return the key of the path
- Return a BlobStat object
- List all the names of a directory
- Return a Pathy
- Register a new client
- Create a directory
- Setup the package
- Create a new session
- Delete a directory
- Open a file for reading
- Open a remote resource
- Copy files from from_location to destination
- Move from from_location to destination
- Scans the bucket directory
- Return client params
pathy Key Features
pathy Examples and Code Snippets
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Copypython3 -m spacy download en_core_web_sm --user
max(gamma.value)
>>>> 1.2
min(gamma.value)
>>>> -0.6
m.Equation((x-pathx)*final==0)
m.Equation((y-pathy)*final==0)
w = 1e3
m.Minimize(w*final*(x-pathx)**2) #1D part
m.Minimize(w*final*(y-pathy)**2) #2D part
m.Equation(y.dt()==tf*(V*(m.cos(gamdef canvas_donjon():
#Ici est le canvas de la pièce du donjon sur lequel s'affiche Link
global link
global img #added this line to be able to use the img variable elsewhere
global dungeon_ground
dungeon_ground = Canvas(fenefrom pathlib import Path
def saveJSONget(site, code):
r = requests.get(site)
json_str = r.text
if r.status_code != code:
Path("PATH").write_text(r.text+"\n")
class PathyThing:
def __init__(self):
self.browsebutton2 = Button(root, text="Last Week's Report", command=self.getFilepast)
self.browsebutton2.grid(row=0, column=1)
# etc.
def getFilepast(self):
# def update():
#your code here
root.after(1000, update)
update()
root.mainloop()
def move_text():
canvas.move(text, -1, 0)
root.after(10, move_text) # Time in milliseconds.
def check_text():
x = canvas.bbox(text)[0]
if x < -30000:
canvas.itemconfig(text, text=mystr[4pathy = -s*pathx + c*pathy
def rotate(pathx, pathy, r):
c = np.cos(r)
s = np.sin(r)
pathx_new = c * pathx + s * pathy
pathy_new =-s * pathx + c * pathy
return pathx_new, pathy_new
Community Discussions
Trending Discussions on pathy
QUESTION
I have a problem with time and path optimization. I couldn't define two objectives for both time and path simultaneously. Python reads the last objective and gives result according to that way. Could you please help me to solve this optimization problem? Thanks..
...ANSWER
Answered 2021-Sep-18 at 05:43Multiple objectives are combined into a single objective with summation in Gekko. If there are multiple separate objectives that should be considered separately then a Pareto front is a possible approach to evaluate the tradeoff (see Section 6.5 of the Optimization book). However, this isn't implemented in Gekko.
One correct is that m.Equation(y * final <= pathy ) should be m.Equation((y-pathy) * final <= 0) to avoid a potential infeasible solution if pathy<0.
QUESTION
I am working on a project and have shifted my environment from local windows to a linux server (via SSH). I only have limited access as the host server is from my college, I've installed many packages without issues (both with and without virtualenv). I'm working on Python 3.6.9.
I was able to install spacy and import it but I need to use the en_core_web_sm package which has to be installed additionally using the command python3 -m spacy download en_core_web_sm. However, I consistently face a PermissionError as seen in the logs below.
Why am I facing this error? Is it because I don't have administrator access on the /usr level (refer to last line of logs)? If yes, how come only this package in particular requires a higher level access? If no, are there any workaround for me to install the package, or do I need to contact the server administrator?
...ANSWER
Answered 2021-Aug-25 at 08:45It seems all other packages are installed under your user /home/jiayi/.local/python3.6/lib and this one tries to install itself globally in /usr/local/lib/python3.6/, not sure why. I guess you can give it installation folder or something.
Look here Where does spacy language model download?
QUESTION
I am trying to simulate 3D plane flight. I have an issue with gamma value (Flight-path angle). It gets out of its bounds and then, the simulation stops. The gamma value is being calculated by this equation:
I turned it into this: m.Equation(gamma.dt()==tf*((L*m.cos(Mu)-mass*g*m.cos(gamma))/mass*V))
The target of the simulation is for the plane to reach certain X an Y values(m.Minimize(w*final*(x-pathx)**2) and m.Minimize(w*final*(pathy-y)**2)), while minimizing fuel consumed m.Maximize(0.2*mass*tf*final).
The solver controls gamma value, by controlling lift coefficient Cl, which affects the lift value L, which, in turn, affects gamma value. The equation that calculates lift L value looks like this: m.Equation(L==0.5*Ro*(V**2)*(Cl)*S). But in the end the solver can not control gamma value till the plane gets to its destination.
What could be messing with it?
My code:
...ANSWER
Answered 2021-May-18 at 06:21I'm not sure exactly what the problem is. It looks like the optimizer is controlling gamma throughout the horizon, and it always stays within its bounds of -0.6 to 1.2. Can you provide more information about what is going wrong?
QUESTION
So I am simulating plane flight. The plane flies certain distance (pathx and pathy variables) and then the simulation stops, when certain pathx and pathy values are reached. The solver is trying to minimize the fuel consumption (m.Maximize(mass*tf*final), by maximizing the mass value. The solver controls the accelerator pedal position (Tcontr).
Right now the termination condition is defined like this:
For X axis:
...ANSWER
Answered 2021-May-07 at 17:19Try adding a hard terminal constraint for both:
QUESTION
Why can't i drop these rows?
...ANSWER
Answered 2020-Jun-30 at 15:06You need to set your "drop" function equal to your table, like this.
table = tables[0].drop(axis = 0, index = droprows)
I would also recommend more explicitly refering to the column that you would like to drop. Specifically, changing:
tables[0] to tables['Unnamed: 0']
QUESTION
I'm trying to generate some kind of "river" polygon based on a path:
- I have a path as an array of points, wich will be one side of the river.
- Based on that path I iterate over its points, move them a little (add a random number, in scale, to the coordinates)
- I store them in another array of points but backwards (what was path[0] should be pathinverted[paht.size.length-1])
- I concatenate both arrays so that they can form a proper polygon
This part is working, the paths are correctly generated. But when I try to add them to a layer it breaks. This is my code:
...ANSWER
Answered 2020-Jun-13 at 01:47As pointed out by GrzegorzT., the issue is in your first part:
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