helloworld

LangChain
WandB
Scale AI
HumanLoop
Vellum
Fiddler
Arize
Arthur
Galileo
Inductor

helloworld

============================= test session starts ==============================
platform linux -- Python 3.10.8, pytest-7.2.0, pluggy-1.0.0 -- /usr/local/bin/python
cachedir: .pytest_cache
rootdir: /tmp/tmp4p82sops
plugins: ddtrace-1.5.2, anyio-3.6.2
collecting ... collected 4 items

test.py::test_hello_world PASSED                                         [ 25%]
test.py::test_hello_world_with_name PASSED                               [ 50%]
test.py::test_hello_world_with_name_and_age PASSED                       [ 75%]

helloworld

~/pr/gpt-coder/test_runner master !52 ?169 ❯ python main.py         gpt-coder 3.10 16:39:36
 ️️⚡️ Serving... hit Ctrl-C to stop!
└── Watching /Users/sashank/projects/gpt-coder/test_runner/main.py.
✓ Initialized. View app at https://modal.com/apps/ap-qfqInd1MLwOOrMzQdptsAQ
╭──────────────────────────── Traceback (most recent call last) ────────────────────────────╮
│ /Users/sashank/projects/gpt-coder/test_runner/main.py:91 in <module>                      │
│                                                                                           │
│   90 if __name__ == "__main__":                                                           │
│ ❱ 91 │   stub.serve()                                                                     │
│   92                                                                                      │

helloworld

import modal

pytest_image = modal.Image.debian_slim().pip_install(["pytest"])
stub = modal.Stub()

code = """
def hello_world(name=None, age=None, city=None):
    return 'Hello World!'

helloworld

const colors = require('tailwindcss/colors')

module.exports = {
  purge: [],
  presets: [],
  darkMode: false, // or 'media' or 'class'
  theme: {
    screens: {
      sm: '640px',
      md: '768px',

helloworld

from dagster import pipeline, solid, RepositoryDefinition, InputDefinition, execute_pipeline, DagsterInstance

@solid(input_defs=[InputDefinition("number", int)])
def process(context, number):
    context.log.info("Number: {}".format(number))
    
@solid
def root(context):
    numbers = [1, 2, 3, 4, 5]
    for number in numbers:

helloworld

from dagster import pipeline, solid, RepositoryDefinition, InputDefinition, execute_pipeline_iterator, DagsterInstance


@solid(input_defs=[InputDefinition("number", int)])
def my_solid(context, number):
    context.log.info("Number: {}".format(number))

    # Stop condition to prevent infinite recursion
    if number == 5:
        return

helloworld

#!/usr/bin/python

from datetime import datetime, timedelta
from string import Template

going_text = \
    """JFK, Seville, 284, 1 stop, Mon 8/13 11:25 PM, 7h in Lisbon, Tue 8/14 3:35 PM, TAP
JFK, Madrid, 284, 1 stop, Mon 8/13 11:25 PM, 7h in Lisbon, Tue 8/14 9:20 PM, TAP
JFK, Madrid, 298, 2 stop, Wed 8/15 11:25 PM, 1h 45m in in Lisbon; 6h 15m in Porto, Thu 8/16 10:25 PM, TAP
JFK, Madrid, 263, 2 Stop, Sun 8/19 11:25 PM, 1h 45m in in Lisbon; 6h 15m in Porto, Mon 8/20 10:25 PM, TAP

helloworld

Length: 9 days :: 08/13 - 08/22
Going: JFK to Seville [$284] on TAP
    departure: Mon 8/13 11:25 PM
    stops: 1 stop 7h in Lisbon
    arrival: Tue 8/14 3:35 PM
Return: Madrid to JFK [$344] on Norwegian
    departure: Wed 8/22 3:00 PM
    stops: 1 Stop 1h in Copenhagen
    arrival: Wed 8/22 9:30 PM
Total: $628

helloworld

ubuntu@ip-172-31-71-84:~/lapstyle$ th lap_style.lua -style_image images/flowers.png -content_image images/megan.png -output_image output/megan_flowers20_100.png -content_weight 20 -lap_layers 2 -lap_weights 100
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message.  If the message turns out to be larger than 1073741824 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 574671192
Successfully loaded models/VGG_ILSVRC_19_layers.caffemodel
conv1_1: 64 3 3 3
conv1_2: 64 64 3 3
conv2_1: 128 64 3 3
conv2_2: 128 128 3 3
conv3_1: 256 128 3 3
conv3_2: 256 256 3 3