Kushashwa Ravi Shrimali krshrimali

## type_promotion_array_api.py
import itertools
from typing import Collection

import networkx as nx

# overwrite this with the array API that you want to test
import numpy as array_api


def maybe_add_dtype(

## A guide to install and use the PyTorch C++ API with Anaconda.md

      
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                mhubii
                / A guide to install and use the PyTorch C++ API with Anaconda.md
            
            
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              July 16, 2024 05:43
            
          
    PyTorch C++ API Ubuntu Installation Guide

The best way to get a clean installation of PyTorch, is to install the pre-compiled binaries from the Anaconda distribution. Therefore, we need to setup Anaconda first.
Step 1: Install Anaconda


Go to the download section and download your desired Anaconda version for Linux


Run the downloaded shell script and follow the install instruction, do


## colab_download.py
files.download('example.txt')  # from colab to browser download

## README.md

      
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                fasiha
                / README.md
            
            
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                How to visualize 2D arrays in Matplotlib/Python (like imagesc in Matlab)
              
          
    Visualizing rectangular 2D arrays in Python and Matplotlib the way you do with Matlab’s imagesc

Say you have a very rectangular 2D array arr, whose columns and rows correspond to very specific sampling locations x and y. That is, the arr[i, j] entry corresponds to some measurement taken at x[j] and y[i].
Matlab’s imagesc shows you this quite meaningfully:
x = linspace(-100, -10, 10);
y = [-8 -3];
data = randn(numel(y), numel(x));

  
## gist:7360908

      
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                rxaviers
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                Complete list of github markdown emoji markup
              
          
    People


 :bowtie:
😄 :smile:
😆 :laughing:


😊 :blush:
😃 :smiley:
☺️ :relaxed:


😏 :smirk:
😍 :heart_eyes:
😘 :kissing_heart:


😚 :kissing_closed_eyes:
😳 :flushed:
😌 :relieved:


😆 :satisfied:
😁 :grin:
😉 :wink:


😜 :stuck_out_tongue_winking_eye:
😝 :stuck_out_tongue_closed_eyes:
😀 :grinning:


😗 :kissing:
😙 :kissing_smiling_eyes:
😛 :stuck_out_tongue:


## Makefile
CC = g++
CFLAGS = -g -Wall
SRCS = HelloWorld.cpp
PROG = HelloWorld

OPENCV = `pkg-config opencv --cflags --libs`
LIBS = $(OPENCV)

$(PROG):$(SRCS)
	$(CC) $(CFLAGS) -o $(PROG) $(SRCS) $(LIBS)
	import itertools
	from typing import Collection

	import networkx as nx

	# overwrite this with the array API that you want to test
	import numpy as array_api


	def maybe_add_dtype(
`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`
	CC = g++
	CFLAGS = -g -Wall
	SRCS = HelloWorld.cpp
	PROG = HelloWorld

	OPENCV = `pkg-config opencv --cflags --libs`
	LIBS = $(OPENCV)

	$(PROG):$(SRCS)
	$(CC) $(CFLAGS) -o $(PROG) $(SRCS) $(LIBS)