h - Move left
j - Move down
k - Move up
l - Move right
$ - Move to end of line
0 - Move to beginning of line (including whitespace)
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cmake_minimum_required(VERSION 3.0 FATAL_ERROR) | |
project(cpp_shim) | |
set(CMAKE_PREFIX_PATH ../libtorch) | |
find_package(Torch REQUIRED) | |
find_package(OpenCV REQUIRED) | |
add_executable(testing main.cpp) | |
message(STATUS "OpenCV library status:") | |
message(STATUS " config: ${OpenCV_DIR}") |
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import sys | |
from awsglue.transforms import * | |
from awsglue.utils import getResolvedOptions | |
from pyspark.context import SparkContext | |
from awsglue.context import GlueContext | |
from awsglue.dynamicframe import DynamicFrame | |
from awsglue.job import Job | |
args = getResolvedOptions(sys.argv, ['JOB_NAME']) |
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import sys | |
from awsglue.transforms import * | |
from awsglue.utils import getResolvedOptions | |
from pyspark.context import SparkContext | |
from awsglue.context import GlueContext | |
from awsglue.dynamicframe import DynamicFrame | |
from awsglue.job import Job | |
args = getResolvedOptions(sys.argv, ['JOB_NAME']) |
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/** Hive/Pig/Cascading/Scalding-style inner join which will perform a map-side/replicated/broadcast | |
* join if the "small" relation has fewer than maxNumRows, and a reduce-side join otherwise. | |
* @param big the large relation | |
* @param small the small relation | |
* @maxNumRows the maximum number of rows that the small relation can have to be a | |
* candidate for a map-side/replicated/broadcast join | |
* @return a joined RDD with a common key and a tuple of values from the two | |
* relations (the big relation value first, followed by the small one) | |
*/ | |
private def optimizedInnerJoin[A : ClassTag, B : ClassTag, C : ClassTag] |
- Update HISTORY.rst
- Update version number in
my_project/__init__.py
- Update version number in
setup.py
- Install the package again for local development, but with the new version number:
python setup.py develop
- Run the tests:
python setup.py test
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""" | |
exp ::= term | exp + term | exp - term | |
term ::= factor | factor * term | factor / term | |
factor ::= number | ( exp ) | |
""" | |
class Calculator(): | |
def __init__(self, tokens): | |
self._tokens = tokens | |
self._current = tokens[0] |