I am trying to connect to a DigitalOcean container registry which I created using the web UI. I am following the QuickStart guide here:
https://www.digitalocean.com/docs/images/container-registry/quickstart/
I skipped the "Create a Registry" step because I think I have already created a
registry. Also, I have been using doctl with Kubernetes and Terraform, so I'm
pretty sure I'm already authenticated with an API token as needed.
I had trouble getting doctl to log in to the registry:
| { | |
| "sentences": [ | |
| "There was exactly one a-piece all round.", | |
| "Alice looked all round the table, but there was nothing on it but tea.", | |
| "He had been looking at Alice for some time with great curiosity, and this was his first speech.", | |
| "The Knave did so, very carefully, with one foot.", | |
| "So they had to fall a LONG way.", | |
| "The Knight looked very much surprised, and a little offended at the remark.", | |
| "It was a golden crown.", | |
| "The Queen gasped and shut her eyes.", |
| { | |
| "sentences": [ | |
| "And she went on planning to herself how she would manage it.", | |
| "The Caterpillar was the first to speak.", | |
| "This time Alice waited patiently until it chose to speak again.", | |
| "There was certainly too much of it in the air.", | |
| "The Cat only grinned WHEN it saw Alice.", | |
| "Alice was not much surprised at this, she was getting so used to queer things happening.", | |
| "While she was looking at the place where it had been, it suddenly appeared again.", | |
| "The Hatter was the first to break the silence.", |
| <i>An excerpt from the Baidu Technical Ladder guidelines.</i> | |
| <br/> | |
| <b>Senior Research Scientist (T7, T8, T9)</b> | |
| <p>Being appointed as a senior research scientist/engineer requires either significant technical depth or significant leadership. He/she is able to provide overall leadership for independent work within a significant technical area. He/she should be able to lead a small team tackling a complex problem. He/she should be able to set technical direction, select the overall approach to a problem, make resource and prioritization decisions within the context of that project, provide high-level context to others, and communicate effectively and cross-functionally about their project or area.</p> | |
| <p>For example, if Baidu decides to develop AI technology for a specific product, a Senior Research Scientist should be able to independently investigate that technology area, select approaches to try, liaise with the appropriate Baidu engineering groups, lead a small team (in a tech lead role) of 2-10 enginee |
| import time | |
| import tensorflow as tf | |
| def print_time(name): | |
| """This creates a new function that prints out the time annotated with a | |
| marker. | |
| >>> print_time("Name")(1, 2, 3) |
| # Let's us use print() as a function later. | |
| from __future__ import print_function | |
| # Load the file into a list of (H, L, y) tuples | |
| with open("luckeyfxnsample_g.csv", "r") as handle: | |
| data = [tuple(float(x) for x in line.split(",")) for line in handle] | |
| def transform(H, L, y): | |
| """Transform (H, L, y) tuples into (y, HL, L, L^2, L^3) tuples.""" | |
| return y, H * L, L, L * L, L * L * L |
| # If you use triple quotes, the strings can span multiple lines... | |
| # Let's define our test data... | |
| my_test_data = """ | |
| <strong>LHD Contact Information:</strong> | |
| </div> | |
| <div class="right"> | |
| <strong>Alameda County Public Health Department</strong> <strong>(NACCHO Member)</strong><br /> | |
| 1000 Broadway Ste 500<br /> | |
| Oakland, CA 94607-4033<br /> |
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