| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 35, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from SABR import SABR_swaption, SABR\n", | |
| "import pandas as pd\n", |
| #!/bin/bash | |
| # Initialize an associative array to store png filenames and their corresponding grepped numbers | |
| declare -A png_map | |
| # Clear the loggers.txt file if it exists | |
| > loggers.txt | |
| # Iterate over each png file in ./selected directory | |
| for png_file in ./selected/*.png; do |
| package test; | |
| import java.awt.*; | |
| import java.awt.geom.Rectangle2D; | |
| import java.awt.image.BufferedImage; | |
| import java.io.BufferedOutputStream; | |
| import java.io.File; | |
| import java.io.FileOutputStream; | |
| import java.io.IOException; | |
| import java.io.OutputStream; |
| #!/bin/bash | |
| # Function to generate a single test file | |
| generate_test_file() { | |
| local filename=$1 | |
| local num_commands=$2 | |
| > "$filename" | |
| # Generate random 'i' and 'd' commands with random numbers | |
| for (( j=0; j<$num_commands; j++ )); do |
| The output from `lsblk` shows that you have two large disks (`nvme0n1` and `nvme1n1`) that are 3.5T in size but do not have any partitions or filesystems. If you want to increase the size of your `/` filesystem, you can't do it directly because it's currently on a smaller disk (`nvme2n1`) which is completely used. | |
| A better approach would be to create a new partition on one of the larger disks, create a filesystem on it, and then move your data from the smaller disk to the new filesystem on the larger disk. Here is an outline of the steps you would need to take. | |
| **Disclaimer: This process can result in data loss if not done carefully. Always backup important data before attempting these steps.** | |
| 1. **Create a new partition on one of the larger disks** | |
| Before you create a new partition, you need to check if there is free space available. If there is no free space, you may need to shrink or delete an existing partition. |
| # Create a new repository on the command line | |
| touch README.md | |
| git init | |
| git add README.md | |
| git commit -m "first commit" | |
| git remote add origin https://github.com/c0ldlimit/vimcolors.git | |
| git push -u origin master | |
| # Push an existing repository from the command line |
| - Device platform: arm64-v8a | |
| - Installing: 23.0 (23000) | |
| - Copying image to cache | |
| - Unpacking boot image | |
| Parsing boot image: [/data/user_de/0/com.topjohnwu.magisk/install/boot.img] | |
| HEADER_VER [3] | |
| KERNEL_SZ [50481164] | |
| RAMDISK_SZ [19855248] | |
| OS_VERSION [11.0.0] | |
| OS_PATCH_LEVEL [2021-11] |
| root@ec2bf3896c8b:/home/game/pisac# ./xvfb-run-safe python -m pisac.run --root_dir=/tmp/pisac_cartpole_swingup --gin_file=pisac/config/pisac.gin --gin_bindings=train_pisac.train_eval.domain_name=\'cartpole\' --gin_bindings=train_pisac.train_eval.task_name=\'swingup\' --gin_bindings=train_pisac.train_eval.action_repeat=4 --gin_bindings=train_pisac.train_eval.initial_collect_steps=1000 --gin_bindings=train_pisac.train_eval.initial_feature_step=5000 gin_bindings=train_pisac.train_eval.drivers_in_graph=False | |
| 2022-01-08 11:59:02.458894: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1 | |
| 2022-01-08 11:59:03,907: MUJOCO_GL is not set, so an OpenGL backend will be chosen automatically. | |
| 2022-01-08 11:59:04,056: Successfully imported OpenGL backend: glfw | |
| 2022-01-08 11:59:04,194: MuJoCo library version is: 200 | |
| Traceback (most recent call last): | |
| File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main | |
| "__main__", mod_spec) | |
| File "/usr/l |
