Simple implementation of data structures for python
Project description
fds
Simple implementaion of data structures (DS) for python
Content
- linked list
- stack
- queue
Classes
- List // linked list
- Stack // stack
- Queue // queue
API
List
- insert(self, data, pos=0) // TODO: add node in the entered position (pos=0 => add in the begining)
- append(self, data) // TODO: add node in the end
- delete(self, data) // TODO: delete all nodes hav the entered data
- remove(self, pos=0) // TODO: return and remove node in the entered position (pos=0 => remove first node, pos=-1 => remove last node)
- first(self) // TODO: return the data in the first node
- last(self) // TODO: return the data in the last node
Stack
- push(self, data) // TODO: add a node to the top
- pop(self) // TODO: return and remove the node in the top
- top(self) // TODO: return the data in the first node
Queue
- enqueue(self, data) // TODO: add a node to the end
- dequeue(self) // TODO: return and remove the first element
- front(self) // TODO: return the data in the first node
- back(self) // TODO: return the data in the last node
API for all DSs
- repr(self) // USE: print([DS_name]) // TODO: display the DS
- len(self) // USE: len([DS_name]) // TODO: return the lenth of the DS
- empty(self) // TODO: return True if the DS is empty
- clear(self) // TODO: clear the DS
- find(self, data) // TODO: return the number of how many the entered data found in the DS
- reverse(self) // TODO: return the reverse of the DS
classmethods for all DSs
// USE: [DS] = [DS_type].method([DS1], [DS2]) // Examples:
stck3 = Stack.merge(stck1, stck2)
Stack.swap([DS1], [DS2])
the tow DS parameters must be from the same DS
- merge(DS1, DS2) // TODO: return the merge of two DS in new DS
- swap(DS1, DS2) // TODO: swap between DS1 and DS2 (DS1 will be DS2 and DS2 will be DS1)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
py-fds-1.3.3.tar.gz
(3.6 kB
view details)
Built Distribution
File details
Details for the file py-fds-1.3.3.tar.gz
.
File metadata
- Download URL: py-fds-1.3.3.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e0ebf40ab4143d1b5aa77b11929b330f5524bcf8249dad3f01dd83f23b2290ec |
|
MD5 | 942c1d714dddb7be57b96b7d058e64b5 |
|
BLAKE2b-256 | f0d69de45dc093446604e795e9d6aac4e11b0e45c71631a6a43b5ddb940f664f |
File details
Details for the file py_fds-1.3.3-py3-none-any.whl
.
File metadata
- Download URL: py_fds-1.3.3-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2c68c48cfc06f12ea28a0eadf320a9440e8b0b5814fb3b8ea6e6912534371a71 |
|
MD5 | 3e9ad6fcfe934d28774b5a8d9dd31154 |
|
BLAKE2b-256 | 055ef16ab881a63691290ec29f0e63c409d731edd395f3e2312af2458f4336ba |