semvec/pypi-packages huggingface dataset:
py-common-fetch 0.375
A really simple to use Python fetch screen
License: MIT
Keywords: noefetch common information welcome screen

# How to USE

```

from aniachi.systemUtils import Welcome as W
W.printWelcome()


```

Outoput


```
+------------------------------------------+
Aniachi Technologies.
Computer:             greg@MBP-de-gregorio
Script:               -m
Api version:          1013
Path:                 /usr/local/opt/python/bin/python3.6
Installed Packages:   263
Native Compiler:      GCC 4.2.1 Compatible Apple LLVM 9.1.0 (clang-902.0.39.1)
Architecture:         i386
Kernel:               x86_64  Darwin Kernel version 17.5.0
CPU Info:             Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz
Screen resolution:    Not implemented yet....
Python Version:       3.6.5
Processors:           4
Terminal:             Terminal not found
User:                 greg
Current process:      7062
Code version:         beta
Total Memory:         16.00 GiB
Available Memory:     7.83 GiB
Free Memory:          7.50 GiB
Used Memory:          6.49 GiB
Active Memory:        3.27 GiB
Inactive Memory:      337.71 MiB
Wired Memory:         2.90 GiB
Current path:         /Users/greg/Downloads
Current date:         2018-05-11 09:16:12.382490
Elapsed time:         2.963524103164673
+------------------------------------------+


```
irisml-tasks 0.0.62
Standard tasks for IrisML
License: MIT
Requires Python: >=3.8

# irisml-tasks

A collection of tasks for irisml framework.

Visit [irisml](https://github.com/microsoft/irisml) for the detail.

## tasks
### assertion
This task throws an exception if the given assertion failed for the input object.

## branch
'If' condition for tasks.

### calculate_cosine_similarity
Calculate cosine similarity between two sets of vectors.

### download_azure_blob
Download a file from azure blob.

### get_current_time
Get the current time in seconds from epoch.

### get_dataset_stats
Get statistics of the input dataset.

### get_dataset_subset
Create a new dataset with a subset of the input dataset.

### get_fake_image_classification_dataset
Create a new dataset with fake classification images.

### get_fake_object_detection_dataset
Create a new dataset with fake object detection examples.

### get_item
Get an item from a given list.

### get_secret_from_azure_keyvault
Get a secret string from Azure KeyVault.

### get_topk
Get TopK from a given tensor.

### join_filepath
Join a given directory path and a filename.

### load_state_dict
Load a specified file to the input model.

### print_environment_info
Print the enviromnent infomation such as GPU, CPU, Memory

### run_parallel
Run child tasks in new forked processes.

### run_sequential
Run child tasks sequentially on the same process.

### save_file
Save the input binary as a file.

### save_state_dict
Save the state_dict of the input model.

### search_grid_sequential
Grid search hyperparameters in sequential. Run the child tasks and returns a set of parameters that achieved the best result.

### upload_azure_blob
Upload a file to azure blob.