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# Install ucu4c via Brew
brew install icu4c

# Create relative symlinks for icu4c
brew link --force icu4c

# Install pyicu via pip
# Make sure ICU_VERSION matches the one you just installed
sudo ICU_VERSION=60.2 pip install pyicu

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CREATE TEMP FUNCTION
cleanup(text
  STRING
  )
  RETURNS
  STRUCT <
  key string,
  value string>
  LANGUAGE js AS """
  return JSON.parse(text);

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# force a reload of the config file
unbind r
bind r source-file ~/.tmux.conf

set -g history-limit 5000

set -g default-terminal "screen-256color"
set -g status-left-length 24

# remap prefix from 'C-b' to 'C-a'

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sudo mhwd -a pci nonfree 0300
pacman -S cuda cudnn
yaourt Ananconda
git clone https://github.com/fastai/fastai
cd fastai
conda-env create -f environment.yaml

build gcc 6
yay -S gcc6

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diff --git a/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc b/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
index 0f7adaf24a..934ccbada6 100644
--- a/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
+++ b/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
@@ -69,7 +69,7 @@ __global__ void concat_variable_kernel(
   IntType num_inputs = input_ptr_data.size;
 
   // verbose declaration needed due to template
-  extern __shared__ __align__(sizeof(T)) unsigned char smem[];
+  extern __shared__ __align__(sizeof(T) > 16 ? sizeof(T) : 16) unsigned char smem[];

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 clear mod1
 clear mod4
 keycode 64 =Super_L
 keycode 133 = Alt_L
 add mod1 = Alt_L 
 add mod4 = Super_L
 ! Unmap capslock
 clear Lock
 keycode 66 = Hyper_L
 ! Set mod3 to capslock

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mapkey('\\F', "Toggle fullscreen (YouTube)", ytFullscreen, {
    repeatIgnore: true,
    domain: /(youtube\.com)/i
});

function ytFullscreen() {
    $('.ytp-fullscreen-button.ytp-button').click();
}
// 优酷搜索
addSearchAliasX('yk', 'youku', 'http://www.soku.com/search_video/q_', 's', 'http://tip.soku.com/search_tip_1?query=', function(response) {

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{"lastUpload":"2020-12-30T06:47:43.145Z","extensionVersion":"v3.4.3"}

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DATA_DIR=./data
field_keywords=$(wildcard $(DATA_DIR)/field_keywords_*)
out_keywords=$(patsubst $(DATA_DIR)/field_keywords_%,out%.txt,$(field_keywords))
REAL_PATH=$(abspath $(DATA_DIR))
NN_FRAMEWORK_DATA=~/.nn_framework_Data
field_keyword=$(patsubst $(DATA_DIR)/field_keywords_%,$(DATA_DIR)/field_keywords_\%,$(word 1,$(field_keywords)))

## all: run command
all: $(out_keywords)

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special_tok_ids = {}
for tok_name, tok_symbol in tokenizer.special_tokens_map.items():
    idx = tokenizer.all_special_tokens.index(tok_symbol)
    special_tok_ids[tok_name] = tokenizer.all_special_ids[idx]
    
class JigSawDataset(Dataset):
    def __init__(self, data, special_tok_ids, is_training, targets=None):
        self.special_tok_ids = special_tok_ids
        self.is_training = is_training
        if self.is_training: