Data Input/Output¶
DF-Connect¶
Connecting to Tamr’s Auxiliary Service Df-Connect¶
Connecting to Tamr’s df-connect auxiliary service is straightforward using the tamr-toolbox. The module that does this is tamr_toolbox/data_io/df_connect and the main object is an instance of type ConnectInfo. The easiest way to generate such an object is via reading in a configuration file like so:
df_connect:
host: $CONNECT_HOST
protocol: "http"
port: "9030"
tamr_username: $TAMR_USERNAME
tamr_password: $TAMR_PASSWORD
jdbc:
ingest:
jdbc_url: $CONNECT_INGEST_DB_URL
db_user: $CONNECT_INGEST_DB_USERNAME
db_password: $CONNECT_INGEST_DB_PASSWORD
fetch_size: 10000
Ingesting a table as a Tamr dataset¶
"""
The below code is an example that reads a config file, shows how to use it to create a
`Client` object, and then streams an example table into Tamr. Relies on default values and
everything being specified by config file.
"""
import tamr_toolbox as tbox
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml")
my_connect = tbox.data_io.df_connect.client.from_config(my_config)
# ingest table A to dataset A
tbox.data_io.df_connect.client.ingest_dataset(
my_connect, dataset_name="dataset_A", query="SELECT * FROM TABLE_A"
)
Ingesting multiple tables from multiple sources¶
df_connect:
host: $CONNECT_HOST
protocol: "http"
port: "9030"
tamr_username: $TAMR_USERNAME
tamr_password: $TAMR_PASSWORD
jdbc:
oracle:
jdbc_url: $CONNECT_ORACLE_DB_URL
db_user: $CONNECT_ORACLE_DB_USERNAME
db_password: $CONNECT_ORACLE_DB_PASSWORD
fetch_size: 10000
postgres:
jdbc_url: $CONNECT_POSTGRES_DB_URL
db_user: $CONNECT_POSTGRES_DB_USERNAME
db_password: $CONNECT_POSTGRES_DB_PASSWORD
fetch_size: 10000
"""Each instance of `Client` is configured to connect to one jdbc source via the `jdbc_key`
parameter. The default value of *ingest* is what is used in the simple example.
However, the code below shows how to connect to multiple source databases using a more
complicated config file.
"""
import tamr_toolbox as tbox
# load example config file for multiple databases
my_connect_config = tbox.utils.config.from_yaml(
"examples/resources/conf/connect_multi_ingest.config.yaml"
)
# stream table A into Tamr using 'oracle' db source
my_oracle_connect = tbox.data_io.df_connect.client.from_config(
my_connect_config, jdbc_key="oracle"
)
tbox.data_io.df_connect.client.ingest_dataset(
my_oracle_connect, dataset_name="source_A", query="SELECT * FROM schemaA.tableA"
)
# stream table B into Tamr using postgres db source
my_postgres_connect = tbox.data_io.df_connect.client.from_config(
my_connect_config, jdbc_key="postgres"
)
tbox.data_io.df_connect.client.ingest_dataset(
my_postgres_connect, dataset_name="source_B", query="SELECT * FROM schemaB.tableB"
)
Profiling tables and writing results to a Tamr dataset¶
"""
The below code is an example that reads in the above config file, shows how to use it to create a
`Client` object, and then profiles example tables, writing the results into Tamr.
Relies on default values and everything being specified by config file.
"""
import tamr_toolbox as tbox
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml")
my_connect = tbox.data_io.df_connect.client.from_config(my_config)
# profile tables A and B, and write results to Tamr dataset dfconnect_profiling
tbox.data_io.df_connect.client.profile_query_results(
my_connect,
dataset_name="dfconnect_profiling",
queries=["SELECT * FROM TABLE_A", "SELECT * FROM TABLE_B"],
)
Exporting a Tamr dataset to a single target¶
"""
Export data from Tamr using df-connect. An example where everything is default in config file,
which implies exported data is written back to same database as ingested from.
"""
import tamr_toolbox as tbox
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml")
my_connect = tbox.data_io.df_connect.client.from_config(my_config)
tbox.data_io.df_connect.client.export_dataset(
my_connect, dataset_name="example_dataset", target_table_name="example_target_table",
)
Exporting a Tamr dataset to multiple targets¶
df_connect:
host: $CONNECT_HOST
protocol: "https"
port: ""
base_path: "df_connect"
tamr_username: $TAMR_USERNAME
tamr_password: $TAMR_PASSWORD
jdbc:
ingest:
jdbc_url: $CONNECT_INGEST_DB_URL
db_user: $CONNECT_INGEST_DB_USERNAME
db_password: $CONNECT_INGEST_DB_PASSWORD
fetch_size: 10000
oracle:
jdbc_url: $CONNECT_EXPORT_ORACLE_DB_URL
db_user: $CONNECT_EXPORT_ORACLE_DB_USERNAME
db_password: $CONNECT_EXPORT_ORACLE_DB_PASSWORD
fetch_size: 0
postgres:
jdbc_url: $CONNECT_EXPORT_POSTGRES_DB_URL
db_user: $CONNECT_EXPORT_POSTGRES_DB_USERNAME
db_password: $CONNECT_EXPORT_POSTGRES_DB_PASSWORD
fetch_size: 0
"""
An example script to demonstrate how to export datasets from Tamr using df_connect
sending multiple datasets to multiple different databases with multiple different
parameters/behaviors
"""
import tamr_toolbox as tbox
# load example multi config
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect_multi_export.yaml")
# stream dataset A to Oracle with default export values from config file
my_connect_oracle = tbox.data_io.df_connect.client.from_config(my_config, jdbc_key="oracle")
tbox.data_io.df_connect.client.export_dataset(
my_connect_oracle, dataset_name="dataset_A", target_table_name="target_A", jdbc_key="oracle"
)
# stream dataset A to Oracle target table B, while truncating before loading and only 1k records
tbox.data_io.df_connect.client.export_dataset(
my_connect_oracle,
dataset_name="dataset_A",
target_table_name="target_B",
truncate_before_load=True,
limit_records=1000,
)
# stream dataset A to Postgres, keeping all Tamr-generated columns
my_connect_postgres = tbox.data_io.df_connect.client.from_config(my_config, jdbc_key="postgres")
tbox.data_io.df_connect.client.export_dataset(
my_connect_postgres,
dataset_name="dataset_A",
target_table_name="target_postgres_A",
columns_exclude_regex="",
)
# stream dataset A to Postgres, flattening arrays into single string with comma separation
tbox.data_io.df_connect.client.export_dataset(
my_connect_postgres,
dataset_name="dataset_A",
target_table_name="target_postgres_B",
multi_value_delimiter=",",
)
Exporting a Tamr dataset to Hive¶
"""
Export data from Tamr to Hive using df-connect. Df-connect supports making *external* tables in
Hive see https://cwiki.apache.org/confluence/display/Hive/Managed+vs.+External+Tables
for some discussion on the difference between managed and external tables. The biggest reason to
take this route is performance. It is infeasible to generate a managed table and insert millions
of rows into Hive. Streaming the data to hdfs and then creating an external table that points at
that table is orders of magnitude faster.
Creating an external table consists of three steps
1) stream the data to HDFS as an avro file (note: this assumes that df-connect itself has been
setup to talk the HDFS) into its own directory
2) stream the avro schema file to HDFS in some other directory than the data file
(steps 1 and 2 are re-orderable)
3) Create a table in Hive telling Hive about the location of the data and the schema file
(Hive needs both where the data is and what the schema is in order to create a table,
this is messy with avro unless you use an avro schema file, see
https://community.cloudera.com/t5/Support-Questions/Is-there-a-way-to-create-Hive-table-based-on-Avro-data/td-p/119473
for some discussion
WARNING: The jdbc execute endpoint is purposefully designed for flexibility of the engineer to
accomplish data pipeline tasks. As such it allows arbitrary SQL to be run. You should take care to
ensure that you neither run any SQL deleterious to the database. Related,
DO NOT RUN ARBITRARY SQL PASSED FROM UNKNOWN SOURCES.
Doing so opens you up to SQL-injection vulnerabilities. https://xkcd.com/327/
"""
from typing import List
from tamr_toolbox.models.data_type import JsonDict
from tamr_toolbox.data_io.file_system_type import FileSystemType
import tamr_toolbox as tbox
import click
@click.command()
@click.option(
"--config_file_path",
default="examples/resources/conf/connect.config.yaml",
help="the path to a config file containing df-connect connection information.",
)
@click.option(
"--dataset_name", default="my_dataset", help="the name of the dataset to stream from Tamr."
)
@click.option(
"--table_name",
default="my_hive_db.my_hive_table",
help="the name of the table to create in Hive for this dataset",
)
@click.option("--hdfs_base_path", help="the location in hdfs to use to stream the data/schema")
def main(
config_file_path: str, dataset_name: str, table_name: str, hdfs_base_path: str,
) -> List[JsonDict]:
""""Takes a config file (to setup df connect client), locations for both where to put the avro
file and where to put the avro schema file, along with the hive statement to execute
for creating a table.
Args:
config_file_path: the path to your config file
dataset_name: the name of the dataset to stream from Tamr to create the table
table_name: the name of the target table in Hive to create
hdfs_base_path: the location in hdfs where to put this data. Note that the avro file will
be in <hdfs_base_path>/data/my_dataset.avro while the schema will be in
<hdfs_base_path>/schema/my_dataset.avsc
Returns:
List of json objects returned by each request that is made
"""
# setup df_connect client
my_config = tbox.utils.config.from_yaml(config_file_path)
my_connect = tbox.data_io.df_connect.client.from_config(my_config)
# create needed variables
hdfs_data_path = hdfs_base_path + "/data/"
hdfs_file_url = hdfs_data_path + f"/{dataset_name}.avro"
hdfs_schema_url = hdfs_base_path + f"/schema/{dataset_name}.avsc"
# now generate the create table statement - pay attention to the LOCATION keyword and
# notice it is the directory of the avro file, not the file itself
# **** SEE WARNING IN TOP LEVEL COMMENTS ****
hive_create_table_statement = (
f"CREATE EXTERNAL TABLE IF NOT EXISTS {table_name} ROW FORMAT SERDE "
+ "'org.apache.hadoop.hive.serde2.avro.AvroSerDe' STORED AS INPUTFORMAT "
+ "'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat' OUTPUTFORMAT "
+ "'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat' LOCATION "
+ f"'{hdfs_data_path}' TBLPROPERTIES "
+ f"('avro.schema.url'='{hdfs_schema_url}')"
)
response_jsons = []
# export the schema first
schema_response = tbox.data_io.df_connect.client.export_dataset_avro_schema(
my_connect, url=hdfs_schema_url, dataset_name=dataset_name, fs_type=FileSystemType.HDFS
)
response_jsons.append(schema_response)
# export the data next
data_response = tbox.data_io.df_connect.client.export_dataset_as_avro(
my_connect, url=hdfs_file_url, dataset_name=dataset_name, fs_type=FileSystemType.HDFS
)
response_jsons.append(data_response)
# now create the table via execute endpoint
execute_response = tbox.data_io.df_connect.client.execute_statement(
my_connect, statement=hive_create_table_statement
)
response_jsons.append(execute_response)
return response_jsons
if __name__ == "__main__":
main()
Dataframe¶
tamr-toolbox provides functions to create a pandas Dataframe from a Tamr dataset and optionally flatten it. It can also perform basic profiling and validation of pandas Dataframes, intended to be used for data quality checks before upserting records into Tamr.
Create Dataframe from Tamr Dataset¶
"""Snippet for exporting a dataset from Tamr as a pandas.Dataframe"""
import tamr_toolbox as tbox
# Read config, make Tamr Client
tamr = tbox.utils.client.create(username="user", password="pw", host="localhost")
# get dataframe from Tamr Dataset
dataset = tamr.datasets.by_resource_id("my_tamr_dataset_id")
# default will stream all rows and not apply any flattening
df = tbox.data_io.dataframe.from_dataset(dataset)
# get with lists flattened to strings and a subset of columns and rows
df1 = tbox.data_io.dataframe.from_dataset(
dataset, flatten_delimiter="|", columns=["tamr_id", "last_name", "first_name"], nrows=5
)
# if the Tamr dataset is not streamable, pass this option to allow refreshing it
df2 = tbox.data_io.dataframe.from_dataset(dataset, nrows=5, allow_dataset_refresh=True)
# a dataframe can also be flattened after creation
# default will attempt to flatten all columns
df3 = tbox.data_io.dataframe.flatten(df)
# flatten only a subset of columns, and force non-string inner array types to strings
df4 = tbox.data_io.dataframe.flatten(df, delimiter="|", columns=["last_name"], force=True)
Validate a Dataframe before upserting records to a Tamr Dataset¶
"""Snippet for validating the contents of a pandas.Dataframe followed by ingestion into a
Tamr dataset"""
import tamr_toolbox as tbox
import pandas as pd
# Read config, make Tamr Client
tamr = tbox.utils.client.create(username="user", password="pw", host="localhost")
# create DataFrame. typically this would be from a CSV file
df = pd.read_csv("my_file.csv", dtype="str")
# perform validation
tbox.data_io.dataframe.validate(
df,
require_present_columns=["primary_key", "column_1", "column_2"],
require_unique_columns=["primary_key"],
require_nonnull_columns=["primary_key", "column_1"],
)
# can also have validation return a boolean and a dict of failed columns
result = tbox.data_io.dataframe.validate(
df,
raise_error=False,
require_present_columns=["primary_key", "column_1", "column_2"],
require_unique_columns=["primary_key"],
require_nonnull_columns=["primary_key", "column_1"],
)
# result bool will be True if all tests succeed, then proceed to upsert the records from the
# CSV dataset to Tamr
if result.passed:
tamr_dataset = tamr.datasets.by_resource_id("my_tamr_dataset_id")
tamr_dataset.upsert_from_dataframe(df, primary_key_name="primary_key")
# if any checks have failed, get the details
else:
print(f"Validation failed, failing checks: {result.details}")
CSV¶
Export CSV from Tamr Dataset to a designated filepath¶
# dataset.config.yaml
logging_dir: $TAMR_PROJECT_LOGGING_DIR # Example: "/home/users/jane/my-project/logs"
my_tamr_instance:
host: $TAMR_HOST # Example: "<IP_ADDRESS>"
protocol: "http"
port: "9100"
username: "admin"
password: $TAMR_PASSWORD # Example: "abc123"
datasets:
my_mastering_project_dataset:
name: "my_mastering_project_unified_dataset_published_clusters_with_data"
id: "5"
export_file_path: "/path/to/data/output/my_mastering_project_unified_dataset_published_clusters_with_data.csv"
my_categorization_project_dataset:
name: "my_categorization_project_unified_dataset_classifications_with_data"
id: "12"
export_file_path: "/path/to/data/output/my_categorization_project_unified_dataset_classifications_with_data.csv"
"""Example script for exporting a dataset from Tamr as a CSV"""
import argparse
from typing import Dict, Any
import tamr_toolbox as tbox
def main(
*, instance_connection_info: Dict[str, Any], dataset_id: str, export_file_path: str
) -> None:
"""Exports a csv from a dataset
Args:
instance_connection_info: Information for connecting to Tamr (host, port, username etc)
dataset_id: The id of the dataset to export
export_file_path: Path to write the csv file to
"""
# Create the tamr client
tamr_client = tbox.utils.client.create(**instance_connection_info)
dataset = tamr_client.datasets.by_resource_id(dataset_id)
# Export the default using default settings
tbox.data_io.csv.from_dataset(dataset, export_file_path=export_file_path)
# Export after adjusting some of the default parameters including csv delimiter,
# flattening delimiter for recording multi-values, limiting and ordering the columns, limiting
# the number of rows, and adjusting the buffer size that determines at what interval records
# are written to disk
tbox.data_io.csv.from_dataset(
dataset,
export_file_path,
csv_delimiter=";",
flatten_delimiter="#",
columns=["tamr_id", "last_name", "first_name"],
nrows=1000,
buffer_size=100,
)
LOGGER.info("Writing CSV is complete")
if __name__ == "__main__":
# Set up command line arguments
parser = argparse.ArgumentParser()
parser.add_argument("--config", help="path to a YAML configuration file", required=False)
args = parser.parse_args()
# Load the configuration from the file path provided or the default file path specified
CONFIG = tbox.utils.config.from_yaml(
path_to_file=args.config, default_path_to_file="/path/to/my/conf/dataset.config.yaml"
)
# Use the configuration to create a global logger
LOGGER = tbox.utils.logger.create(__name__, log_directory=CONFIG["logging_dir"])
# Run the main function
main(
instance_connection_info=CONFIG["my_tamr_instance"],
dataset_id=CONFIG["datasets"]["my_mastering_project_dataset"]["id"],
export_file_path=CONFIG["datasets"]["my_mastering_project_dataset"]["export_file_path"],
)
Export CSV from taxonomy to a designated filepath¶
"""Snippet for exporting taxonomy of a Tamr Categorization project to a csv file"""
import csv
import tamr_toolbox as tbox
# Create the Tamr client
tamr = tbox.utils.client.create(username="user", password="pw", host="localhost")
# Get a Tamr categorization project by ID
my_project = tamr.projects.by_resource_id("2")
# Export the taxonomy to a csv file
export_file_path = "path_to_the_csv_file/file_name.csv"
records_written = tbox.data_io.csv.from_taxonomy(
my_project,
export_file_path,
csv_delimiter=",",
flatten_delimiter="|",
quote_character='"',
quoting=csv.QUOTE_MINIMAL,
overwrite=False,
)
print(f"Wrote {records_written} categories to {export_file_path}")


Glidein Factory Overview
A Glidein Factory is composed of a Factory Daemon and several Factory Entry Daemons. Each Entry Daemon is autonomous; it advertises itself and processes the incoming requests. The main Factory Daemon just launches and monitors the Factory Entry Daemons.
In the section below, each components will be described.
Factory Components
The factory is made of several parts, which each have their own section on their design.Implementation details
The Glidein Factory Daemon
Also, the Glidein Factory is composed of several entry points. The Factory Daemon is really just a small process tasked to start and monitor the Factory Entry Daemons. See picture in the next section for a logical overview.
All daemons of a Glidein Factory share the same directory tree, which root contains the main configuration files used by the Factory daemon.
More details about the Glidein Factory Daemon internals can be found here.
The Factory Entry Daemons
The Glidein Factory is composed of several Factory Entry Daemons, each advertising itself and processing the incoming requests. See the picture below for a logical overview.
As explained previously, the root of the tree contains the common startup and configuration files, while each entry point has a few additional configuration files on its own. Each entry point is completely described by these files on disk; the Factory Entry Daemons only extract information about entry point attributes and supported parameters needed for advertising. When glidein jobs are submitted, only the Frontend provided parameters need to be given to the glidein startup script, as the script itself will autonomously gather all the other information.
More details about the Factory Entry Daemon internals can be found here.
The glidein startup script
As said in the overview,
a glidein is essentially a properly configured HTCondor startd.
However, somebody needs to do that configuration. So we need a job
startup script that will do the work.
A startup script needs
to perform several tasks:
- check that the working environment on the worker node is reasonable (else user jobs will fail)
- obtain the HTCondor binaries
- configure HTCondor
- prepare the environment for HTCondor
- start HTCondor
Given the complexity of the task and for the sake of flexibility, it makes sense to split the script in several pieces. Thus, the glidein job is composed of several pieces, including the startup script pieces, the HTCondor binaries, and a base configuration file.
However, having a Grid job with data files can represent a challenge; each Grid flavor treats data in a different way!
To make the system as general as possible, the Glidein Factory requires the use of a Web Server to distribute its data. This version of the Glidein based Factory was tested with Apache and TUX, but any other web server should work just well, as only static file delivery is required.
A general overview of how a glidein starts up is given in the picture below.
The task of the basic startup script (called glidein_startup.sh)
is thus reduced to loading the other files including the support
scripts, the base config files and the HTCondor binaries. The list of
files to load is obtained from the Web server as one of the first
steps, making the startup script completely generic.
Please
notice two things. First, all the files transfered over the Web are
signed using sha1sum. This
prevents a hacker from tampering with the files while in transit.
This is especially important for executables and scripts (to prevent
arbitrary code to be executed), but is useful for configuration files
too.
The signature checking is implemented in two steps:
- The signature of all the files to be transfered is saved in a file called signature.sha1 and stored on the Web server. The signature of the signature file is then passed as one of the parameters to the startup script.
- The startup script loads the signature file from the Web server and verifies its signature. All other downloads, including the file containing the list of other files, is checked against the values in the signature file. See the pseudo-code below.
wget http://head.fnal.gov/glidein_g1/signature.sha1 sha1sum known_sha1 signature.sha1 if $?!=0 then exit 1 fi grep files_list signature.sha1 > filelist.sha1 wget http://head.fnal.gov/glidein_g1/files_list.lst sha1sum -c filelist.sha1 if $?!=0 then exit 2 fi for file in files_list.lst do wget http://head.fnal.gov/glidein_g1/$file done sha1sum -c signature.sha1 if $?!=0 then exit 3 fi launch scripts
The second point I would like to stress, are the advantages that
come from using standard Web technologies. Web technologies are
widely used nowadays and there is a plethora of tools that can be
readily used. In our case, we can reduce the network load and speed
startup times by using a Web cache near the worker nodes, if
available. The Glidein Factory was tested with
Squid,
but other products should work as well. It is also worth mentioning
that both OSG and gLite has expressed interest in deploying a Squid
server on every Grid site.
More details about the startup
script internals and support scripts provided by the current
implementation can be found here.


I want to work in an industry that is forward thinking and promotes creativity. My short term goal is to gain enough skills to become a freelancer, then eventually becoming my own boss.
What skills (non-technical - human skills) would you like to see developed in yourself while at EDA?I want to be able to confidently explain products and processes to people. I find that I have trouble articulating my ideas. Honing my teamworking skills will also be extremely useful in the future, specifically leadership.
A description of your own strengths and limitationsStrengths
I think I’m a good communicator, I work well with others.
I am compassionate and have good leadership skills.
Creativity and problem solving are a core reason I am drawn to this career.
Limitations
I find it difficult asking for help and at times receiving criticisms
Once I’m locked in I will work endlessly, but this is partly because of my issues getting focused in the first place.
I can be extremely pessimistic sometimes, I am generally positive in demeanour, but perhaps struggle to aim high.
I am committing to working on foundations everyday of the week without fail
I aim to complete each sprint before the due date or at least before the weekend of each respective week.
My work will be done mainly on workdays in the morning and afternoon, avoiding evening work if possible
If I have any problems, I will first google, then post on the slack channel or visit the campus.
I would like to go to the campus at least once a week
I expect facilitators to be available during work hours to answer questions regarding the course that can’t be answered by colleagues.
I expect opinions/pointers on my work if I ask for it.
I have work commitments 10 hours a week, split into 5hrs Monday and 5hrs Friday.
I also need to schedule times for cooking, as well as eating lunch and dinner
I also want to ensure I get up at least once every and leave the house at least once a day haha.


Kia ora and welcome to my page! This is a huge step for me and still trying to warp my head around it so please be patient. Thank you for visiting and I hope to improve my skills as I continue on in this journey


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Technologies change often. You never know, if a technology you've chosen today, will be outdated in a year. Luigi is technology agnostic and allows you to react to new trends quickly preventing technology lock-ins.


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--- title: GEHRY FISH subtitle: A 3D scan to structural fabrication script. section_id: work category_id: computation project_id: fish type: professional year: 2018 for: gehry technologies / frank gehry architects site: los angeles team: images: - link: /images/computation/fish/final_1.JPG - link: /images/computation/fish/final_2.JPG - link: /images/computation/fish/final_3.JPG - link: /images/computation/fish/final_4.JPG - link: /images/computation/fish/final_5.JPG ---
1.01Paper Tails
1.02 Paper => Steel + Glass
1.02 Takeaways


The CoinGecko Crypto Market Cap dataset provide information on the size of the crypto coin and can be used to compare the size of one coin to another. Examples include the following strategies:
Construct a major crypto index fund.
Invest on the cryptos with the fastest growth in market size.
Red flag stop when there might be a crypto bank run.


Mock requesting product #42
/cart
{"sku": "42", "qty": 2}
{"status": "Success", "total": "24.5"}
Mock requesting product #41
/cart
{"sku": "41", "qty": 1}
{"status": "Success", "total": "21.1"}
Mock requesting product page #41
/cartPage


{% extends 'main/_base.html' %} {% load static %} {% load crispy_forms_tags %} {% block title %} House Delete {% endblock %} {% block content %} {% if message %}
{{ message }}
This will delete everything related to the house including bills, rooms, contracts, and tenants.


https://tuntuntunwu.blogspot.com/
https://www.zhihu.com/people/wxqwxq567567/posts
The two blogs have the same content.


When posting, you will probably want to post the code that you are having trouble with. However, simply copying and pasting the code in makes it quite hard to read. The solution? Code tags.
They are quite simple to use; When typing your post simply write this:
[code]
Your code goes here
[/code]
Alternatively, you can paste your code in, highlight it, then click the "<>" button near the bottom or right edge of the posting window.
It's also nice for the code to be properly indented (which it should be if you paste it directly from your IDE editor) and to have appropriately placed vertical whitespace (newlines).
Most new users don't bother reading the article section first, they just post their question. Also, this isn't really an article... I guess this is a nice try but not really an effective one.
The article section is for 'How-to's and other technical articles', this comes under the heading of 'How to'.
I'm not trying to criticize but I will say that the welcome thread does not mention general 'How-to's.
As for the other remark, I guess it just feels like there are several thread already mentioning [code] tags here. If I can add my own opinion, the welcome thread in the Beginner's section should be replaced with an even shorter version of the document that includes the suggestion to use code tags (maybe add an example as well).


Uniform Demo
Message:
Your Name:
Your Email:
I found your site:
Through Google
Through Twitter
Other…
<Hi>
Saying hi
Sending feedback
Please contact me back
Upload a file:


Care Love
Looking for professional caretakers? We help connect you to them.
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Password
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Not a recognized account


Each cloud storage system is slighly different. Rclone attempts to provide a unified interface to them, but some underlying differences show through.
Here is an overview of the major features of each cloud storage system.
| Name | Hash | ModTime | Case Insensitive | Duplicate Files | MIME Type |
|---|---|---|---|---|---|
| Google Drive | MD5 | Yes | No | Yes | R/W |
| Amazon S3 | MD5 | Yes | No | No | R/W |
| Openstack Swift | MD5 | Yes | No | No | R/W |
| Dropbox | - | No | Yes | No | R |
| Google Cloud Storage | MD5 | Yes | No | No | R/W |
| Amazon Drive | MD5 | No | Yes | No | R |
| Microsoft One Drive | SHA1 | Yes | Yes | No | R |
| Hubic | MD5 | Yes | No | No | R/W |
| Backblaze B2 | SHA1 | Yes | No | No | R/W |
| Yandex Disk | MD5 | Yes | No | No | R/W |
| The local filesystem | All | Yes | Depends | No | - |
The cloud storage system supports various hash types of the objects.
The hashes are used when transferring data as an integrity check and
can be specifically used with the --checksum
flag in syncs and in
the check
command.
To use the checksum checks between filesystems they must support a common hash type.
The cloud storage system supports setting modification times on
objects. If it does then this enables a using the modification times
as part of the sync. If not then only the size will be checked by
default, though the MD5SUM can be checked with the --checksum
flag.
All cloud storage systems support some kind of date on the object and these will be set when transferring from the cloud storage system.
If a cloud storage systems is case sensitive then it is possible to
have two files which differ only in case, eg file.txt
and
FILE.txt
. If a cloud storage system is case insensitive then that
isn’t possible.
This can cause problems when syncing between a case insensitive system and a case sensitive system. The symptom of this is that no matter how many times you run the sync it never completes fully.
The local filesystem may or may not be case sensitive depending on OS.
Most of the time this doesn’t cause any problems as people tend to avoid files whose name differs only by case even on case sensitive systems.
If a cloud storage system allows duplicate files then it can have two objects with the same name.
This confuses rclone greatly when syncing - use the rclone dedupe
command to rename or remove duplicates.
MIME types (also known as media types) classify types of documents
using a simple text classification, eg text/html
or
application/pdf
.
Some cloud storage systems support reading (R
) the MIME type of
objects and some support writing (W
) the MIME type of objects.
The MIME type can be important if you are serving files directly to HTTP from the storage system.
If you are copying from a remote which supports reading (R
) to a
remote which supports writing (W
) then rclone will preserve the MIME
types. Otherwise they will be guessed from the extension, or the
remote itself may assign the MIME type.
All the remotes support a basic set of features, but there are some optional features supported by some remotes used to make some operations more efficient.
| Name | Purge | Copy | Move | DirMove | CleanUp |
|---|---|---|---|---|---|
| Google Drive | Yes | Yes | Yes | Yes | No #575 |
| Amazon S3 | No | Yes | No | No | No |
| Openstack Swift | Yes † | Yes | No | No | No |
| Dropbox | Yes | Yes | Yes | Yes | No #575 |
| Google Cloud Storage | Yes | Yes | No | No | No |
| Amazon Drive | Yes | No | No #721 | No #721 | No #575 |
| Microsoft One Drive | Yes | Yes | No #197 | No #197 | No #575 |
| Hubic | Yes † | Yes | No | No | No |
| Backblaze B2 | No | No | No | No | Yes |
| Yandex Disk | Yes | No | No | No | No #575 |
| The local filesystem | Yes | No | Yes | Yes | No |
This deletes a directory quicker than just deleting all the files in the directory.
† Note Swift and Hubic implement this in order to delete directory markers but they don’t actually have a quicker way of deleting files other than deleting them individually.
Used when copying an object to and from the same remote. This known
as a server side copy so you can copy a file without downloading it
and uploading it again. It is used if you use rclone copy
or
rclone move
if the remote doesn’t support Move
directly.
If the server doesn’t support Copy
directly then for copy operations
the file is downloaded then re-uploaded.
Used when moving/renaming an object on the same remote. This is known
as a server side move of a file. This is used in rclone move
if the
server doesn’t support DirMove
.
If the server isn’t capable of Move
then rclone simulates it with
Copy
then delete. If the server doesn’t support Copy
then rclone
will download the file and re-upload it.
This is used to implement rclone move
to move a directory if
possible. If it isn’t then it will use Move
on each file (which
falls back to Copy
then download and upload - see Move
section).
This is used for emptying the trash for a remote by rclone cleanup
.
If the server can’t do CleanUp
then rclone cleanup
will return an
error.


The product of a scalar value with all components of this vector.
The component-wise multiplication of this vector with another vector.
The addition of a scalar value to all components of this vector.
The component-wise addition of this vector with another vector.
The subtraction of a scalar value from all components of this vector.
The component-wise subtraction of another vector from this vector.
The quotient of dividing all components of this vector by a scalar value.
The component-wise division of this vector by another vector.
Applies a binary operator to a start value and all components of this vector, going left to right.
Applies a binary operator to a start value and all components of this vector, going right to left.
Add the component values from this vector (as Doubles) starting at the current buffer position to a native array.
Add the component values from this vector (as Floats) starting at the current buffer position to a native array.
Add the component values from this vector (as Longs) starting at the current buffer position to a native array.
Add the component values from this vector (as Ints) starting at the current buffer position to a native array.
Add the component values from this vector (as Shorts) starting at the current buffer position to a native array.
Add the component values from this vector (as Chars) starting at the current buffer position to a native array.
The component identified by the given index.
The component identified by the given index.
Perform component-wise equality test on two arrays.
Perform component-wise equality test on two arrays.
A method that should be called from every well-designed equals method that is open to be overridden in a subclass.
Builds a new vector who's components are clamped to be between the given upper and lower bounds.
Builds a new vector by apply a function to the corresponding elements of this and two other vectors.
Builds a new vector by apply a function to the corresponding elements of this and another vector.
Whether another vector is within a the standard epsilon of this vector.
Whether another vector is within a given epsilon of this vector.
Applies a binary operator to a start value and all components of this vector, going left to right.
Applies a binary operator to a start value and all components of this vector, going right to left.
Tests whether a predicate holds true for all of the corresponding components of this and another vector.
Tests whether a predicate holds true for all components of this vector.
Tests whether a predicate holds true for any of the corresponding components of this and another vector.
Tests whether a predicate holds true for any component of this vector.
Applies a function to all components of this vector.
Whether any components are Not-a-Number (NaN).
Builds a new vector by applying a function to each component of this vector.
Builds a new vector who's components are the maximum of the corresponding components of this and another vector.
The maximum valued component of this vector.
Builds a new vector who's components are the minimum of the corresponding components of this and another vector.
The minimum valued component of this vector.
Add the component values from this vector (as Doubles) starting at the current buffer position to a native array.
Add the component values from this vector (as Floats) starting at the current buffer position to a native array.
Add the component values from this vector (as Longs) starting at the current buffer position to a native array.
Add the component values from this vector (as Ints) starting at the current buffer position to a native array.
Add the component values from this vector (as Shorts) starting at the current buffer position to a native array.
Add the component values from this vector (as Chars) starting at the current buffer position to a native array.
Reduces the elements of this vector using the specified associative binary operator.
The number of components.
The number of components.
Convert to an array of components.
Convert to a 1-dimensional index (ignoring the fractional part).
Convert to a 2-dimensional index (ignoring the fractional part).
Convert to a 3-dimensional index (ignoring the fractional part).
Convert to a list of components.
Convert to a 1-dimensional position.
Convert to a 2-dimensional position.
Convert to a 3-dimensional position.
Convert to a more compact String representation.
Convert to a String representation
Convert to a String representation
Convert to a 1-dimensional vector.
Convert to a 2-dimensional vector.
Convert to a 3-dimensional vector.
Convert to a 4-dimensional vector.
Convert to a N-dimensional vector.
Convert to a N-dimensional sparse vector.
Negate all components.
A copy of this vector in which the component identified by index has been replaced with the given value.
A copy of this vector in which the component identified by index has been replaced with the given value.
Evaluate the operation only if the size of the supplied vector is the same as this one.
Evaluate the operation only if the size of the supplied vector is the same as this one.
An immutable sparse vector of arbitrary size containing Long data.
Storage and performance of most operations is proportional to the number of specified elements rather than the total number of elements as with dense vectors. The per element cost is slightly higher than for dense vectors. For good performance, sparse vector should only be used when the majority of elements are not specified. Unspecified elements are assumed to be zero valued.
NOTE: Unlike dense vector, the cost of apply() and update() operations are proportional to the number of specified elements and not constant time. Therefore, code which iterates over indices using these operations to lookup and/or modify elements should be avoided.


Windows Install Git and BlocklyScriptcraft
- Download Git for windows: https://git-scm.com/download/win
- Run the git install executable
- Open a cmd window
- Hold the Windows key and press the r key
- Enter the command: cmd
- Enter the command:git clone https://www.github.com/Paulware/blocklyScriptcraft
After cloning the git repository, you can run blockly Scripcraft by opening C:\BlocklyScriptcraft\blocklyScriptcraft.html using google chrome (IE will not work)


...WE OFFERS A LATEST BRANDS OF FASHION PRODUCTS IN GOOD COST AND WITH A BEST QUALITY OF BOTH MAN AND WOMAN LIKE SHIRTS,SHOES,PANTS,WANTCHES,GLASSES AND ETC WITH GUARANTEE.IN OUR STORE WE HAVE WORLD'S BEST BRAND WITH ITS BEST QUALITY.  WE TRY OUR BEST TO FULLFILL YOUR NEEDS AND WE GIVE YOU BEST PRICE WITH BEST QUALITY.WE HAVE OUR BRANCHES IN PAKISTAN AND IN ALSO OTHERCOUNTRIES SO YOU CAN ORDER FROM ANY COUNTRY...


 Do not be lazy, but instead keep praying and thanking God.
3 Pray together for us too, so that God will make it possible for us to freely explain the good news, the secret about Christ that God is now revealing everywhere. It is because we proclaimed this good news that I am now in prison.
4 Pray that I might be able to fully explain the good news.
5 Live wisely around those who are not believers, and make each moment valuable by using it wisely.
6 Always speak graciously and in a pleasant and interesting way to those who do not believe in the Lord Jesus. Then you will know how to speak to each person about the Lord.
7 Tychicus will tell you everything that has been happening to me. He is a fellow believer whom I love, who helps me faithfully, and who serves the Lord Jesus together with me.
8 The reason that I am sending Tychicus to you with this letter is that you might know about us and that he might encourage you.
9 I am sending him to you with Onesimus, who is a faithful fellow believer, whom I love and who is your fellow townsman. They will tell you all about what has been happening here.
10 Aristarchus, who is in prison with me, and Mark, who is Barnabas' cousin, greet you. I have instructed you about Mark, so if he comes to you, welcome him.
11 Jesus, who is also named Justus, greets you, too. These three men are the only Jewish believers working with me to proclaim God as king through Christ Jesus. They have greatly helped and encouraged me.
12 Epaphras, who is your fellow townsman and a servant of Christ Jesus, greets you.
He prays earnestly for you very often, that you might be strong and believe everything that God teaches us and promises us.13 I can say that he has worked very hard for you, for those who live in the city of Laodicea, and for those who live in the city of Hierapolis.
14 Luke the doctor, whom I love, and Demas greet you.
15 Greet the fellow believers who live in Laodicea, and greet Nympha and the group of believers that meets in her house.
16 After someone reads this letter among you, have someone also read it to the assembly in Laodicea. And read the letter from Laodicea, too.
17 Tell Archippus to make sure that he completes the task that God gave him to do.
18 I, Paul, greet you now in my own handrwriting. Remember me and pray for me in prison. I pray that our Lord Jesus Christ would continue to act graciously toward you all.


The dot-com bubble, also known as the Internet bubble, refers to the period between 1995.....
MoreThe Domain Name System (DNS) is the Internet's phone book. Domain names such as nytimes.com.....
MoreHTML is composed of HTML components, which are tags, most notably an opening tag and.....
More


Train beggar Aaron Foley jailed after punching woman in face before stealing handbag
Aaron Foley, 32, was caught on CCTV repeatedly punching the victim before throwing her into a set of seats as she fought to hold on to her bag
by James Rodger, https://www.facebook.com/jamesrodgerjournalistA thug who attacked a vulnerable woman and stole her backpack as she sat alone on a train has been jailed for 10 years.
Aaron Foley, 32, was caught on CCTV repeatedly punching the victim before throwing her into a set of seats as she fought to hold on to her bag.
The attack took place on a train travelling between Woolwich and Charlton in south-east London on June 3.
On Monday, Inner London Crown Court heard that Foley had been begging on the train before approaching the woman.
The CCTV footage shows Foley attempting to take the bag before launching a barrage of punches and at least one kick at his victim, leaving her bleeding from the mouth.
The pair then struggle and she is thrown into a set of seats and to the floor several times.
Jose Olivares-Chandler, prosecuting, said the woman had been willing to hand over money to Foley but refused to give him the bag because of its sentimental value.
In an impact statement read to the court by Mr Olivares-Chandler, the victim said: "After this incident I no longer feel comfortable talking in public.
"I have nightmares about the incident, it is a recurring nightmare. I think about it every day. Sometimes I wish I could have fought better. Why couldn't I fight him off?"
The court heard that the woman had suffered multiple injuries to her face and required ongoing dental surgery.
"I get upset when I brush my teeth, I am worried (Foley) has damaged my appearance permanently," she said.
Mr Olivares-Chandler added that the incident appeared to have taken place just three days after Foley was released from prison.
Sentencing Foley, of Kingsman Street, Greenwich, Recorder Timothy Clark QC, said the attack had showed a "high degree of callousness".
"(The victim) was sat on her own when she was approached by you, clearly begging. She makes it clear she is not interested. Your reaction is to punch her hard in the face.
"This act left her, in my opinion, with serious facial injuries.
Mr Clark added that significant psychological harm had also been done and that Foley posed a serious risk of further offence.


Namespace Sensus.Adaptation
Classes
AsplAggregation
AsplAggregationType
Different ways of aggregating observed IDatum property values into a single value for criterion checking. The goal is to transform a collection of values into a single value, which can be checked against a target value to determine whether or not sensing control should be applied. See AsplElement for more information.
AsplCriterion
A criterion to check to determine whether sensing control is required.
AsplElement
A single check of observed data, aggregated according to AsplAggregationType, in AsplRelation to a Target.
AsplLogic
Different ways of combining multiple AsplElement satisfaction values into a single boolean true/false value.
AsplRelation
Different ways of comparing the aggregated criterion value (see AsplAggregation) with a target value to determine whether a AsplElement was satisfied.
AsplSensingAgent
A general-purpose ASPL agent. See the adaptive sensing article for more information.
AsplStatement
Combination of an AsplCriterion and ProtocolSettings to apply when starting and ending sensing control.
SensingAgent
An agent that observes data collected by the app and controls sensing parameters. See the adaptive sensing article for more information.
SensingAgent.ControlCompletionCheck
Specifies a check to run periodically to (1) assess whether sensing control has been completed and (2) to transition sensing parameters into subsequent settings.
SensingAgent.ControlCompletionCheck.ControlCompletionCheckAsyncDelegate
SensingAgentState
SensingAgentStateDatum
Represents the state of a SensingAgent. See the adaptive sensing article for more information.


--- layout: post title: generator-gulp-angular 1.0.0 stable released author: mehdy date: '2015-10-16 11:07:54 +0200' date_gmt: '2015-10-16 09:07:54 +0200' categories: - Javascript tags: - AngularJS - Yeoman - Gulp --- {% raw %}
It has now been more than a year since I (@Swiip), quickly followed by @zckrs, started working on our Yeoman generator. Today we’re celebrating the release of our first major and stable version : generator-gulp-angular 1.0.0.
At first we simply wanted to make a good merge of generator-gulp-webapp and generator-angular as I worked on Angular and got tired of Grunt's verbosity. Then, the project popularity started to increase and so did its ambition.
We followed all the precepts of Yeoman adding our own:
We are not joking around when we talk about this being a stable version. We integrated lots of technologies and languages, from Coffee to Typescript, from Sass to Stylus. The amount of combinations exceeds several millions! We wrote tests, documentation and fixed issues for 12 minor versions and 2 release candidates, to be able to deliver a perfectly configured seed project, no matter the options you choose.
We integrated many optimizations for your web application using some Gulp plugins :
But the v1 is not the end of the road. While maintaining the v1 branch, we started a new Github organization called FountainJS targeting a futuristic v2 version. As the context of the build tools has greatly evolved over a year, it will be a reboot of the code base.
The major selling point will be to use Yeoman's generators composition, to upgrade to Gulp 4 and to write it in ES6. Finally, I hope to open new horizons in terms of options: dependency management for sure, but also, why not Web frameworks (someone talked about React?) and also a backend.
Go try out generator-gulp-angular v1.0.0 release! Any feedbacks, issues, or investment on the new FountainJS project will always be appreciated.
{% endraw %}


class: center, middle # Introduction to UNIX I: Command Line --- # UNIX Command line * The UNIX Shell: command line interface * Navigating Directories and Files * Running applications * Reminder about helpful tutorial: http://korflab.ucdavis.edu/Unix_and_Perl/current.html --- class: left # Shell - Command Line Interface (CLI) .right[![NmapScreen](img/TheMatrix_Trinity_nmapscreen.jpg)] * Interactive interface of UNIX operating system (Linux and OSX are a type of UNIX) * Access to this in the Terminal program on OSX. ** An alternative Terminal program is iTerm2 - https://www.iterm2.com/ * Windows: Use [Cygwin](https://www.cygwin.com/). Windows10 does have a [BASH shell](https://www.windowscentral.com/how-install-bash-shell-command-line-windows-10). --- # How to get to the shell On Mac: Open the Terminal (Spotlight - search for Terminal) .center[![Spotlight](img/spotlight.png)] --- # Anatomy of a command line * The Shell is the commandline program. There are several types, * `sh` - Bourne shell * `bash` - __Bourne again shell__ will use in class * `csh` - C shell * `zsh` - Z-shell ```shell /Users/me $ ls /Users/me $ date /Users/me $ ping www.ucr.edu /Users/me $ echo "hello there" /Users/me $ python test.py /Users/me $ python cmdline.py -i input -o out -d db ``` --- # Using CLI * Programs are run from the shell to interact with the filesystem, naviagate folders, read files * launch programs like file editors, run tools * cmd line programs can take arguments * some arguments are named or some are just in particluar order ```shell $ date Fri Sep 21 14:21:12 PDT 2018 $ date --help Usage: date [OPTION]... [+FORMAT] or: date [-u|--utc|--universal] [MMDDhhmm[[CC]YY][.ss]] Display the current time in the given FORMAT, or set the system date. ``` --- # Filename Reminders .right[![HoneyBadger](img/honeybadger.jpg)] * Case MaTTerS * File Extensions (e.g. .txt .doc .docx) don't matter * Avoid spaces in filenames * Files starting with '.' are hidden by default * Backup files created by some editors will be appended with ~ --- # Directories and listing 1. ls - shows a listing of the files and folders ```shell $ ls $ ls -l ``` 3. ls -d will display a directory name only 4. ls -F will give a different symbol for directories 5. ls -l shows long listing 6. ls -lt shows long listing, ordered by newest to oldest 7. ls -a shows hidden files 7. How to know all the options? --- # Use `man` to find out more about a program ```shell $ man ls NAME ls -- list directory contents SYNOPSIS ls [-ABCFGHLOPRSTUW@abcdefghiklmnopqrstuwx1] [file ...] DESCRIPTION For each operand that names a file of a type other than directory, ls displays its name as well as any requested, associated information. ``` --- # cmdline help * Many programs also have a help built in * use -h or --help * Sometimes can run the program without any arguments and will show help ```shell $ sort --help sort --help Usage: sort [OPTION]... [FILE]... or: sort [OPTION]... --files0-from=F Write sorted concatenation of all FILE(s) to standard output. Mandatory arguments to long options are mandatory for short options too. Ordering options: ``` --- # Navigating paths 1. to go into a directory use cd 2. to go back a level use 'cd ..' Can specify a total path 'cd /tmp' 3. To go back to your home dir, type cd 5. Try to make a dir, go into it, make another directory. 4. On the Mac you can see the same directories and files organized graphically too 5. SWCarpentry has a nice intro with graphics [here](https://swcarpentry.github.io/shell-novice/02-filedir/) ![Figure](img/filesystem.svg) --- # Directories: Creating and Deleting 1. mkdir - make directory ```shell $ mkdir MyDir $ mkdir MyDir # will give warning $ mkdir MyDir/UnderDir/DeepDir # will not work, UnderDir not created $ mkdir -p MyDir/UnderDir/DeepDir # -p option will create intermediate one ``` 2. rmdir - remove directory ```shell $ rmdir MyDir # won't let you unless it is empty $ rmdir MyDir/UnderDir/DeepDir ``` --- # Files 1. The whole point of all this is probably to create files with data 2. can make an empty file with ```shell $ touch file # will create an empty file ``` 3. Running programs can generate files 4. We will discuss output later but you can direct output of a program to create a file. ```shell $ echo "hello world" > hello.txt $ echo "goodbye cruel world" > goodbye.txt ``` --- # Permissions 1. `ls -l` will show a long version of listing output ```plain jstajich@pigeon:/bigdata/gen220/shared/data_files$ ls -l total 0 lrwxrwxrwx 1 jstajich gen220 25 Sep 25 13:53 Nc20H.expr.tab -> expression/Nc20H.expr.tab -rw-rw-r-- 1 jstajich gen220 609183 Sep 25 13:52 Spellman.csv drwxrwxr-x 2 jstajich gen220 4096 Jun 10 00:39 expression drwxr-xr-x 6 jstajich gen220 4096 Jun 10 00:39 sequences ``` 2. There is info on the file/folder and 3 sets of permissions listed there * 'd' -> It is a directory, 'l' -> it is a link, empty, it is a file * User -> rwx or rw- permissions for the user * Group * All 3. what are permissions * r - is it readable * w - is it writeable * x - is it executable 4. Directories have to be executable to be able to be used/entered. Programs/applications need to be executable to be able to run. --- # Deleting things (careful!) 1. `rm` - for removing files 2. `rm -r` -- _be careful_ removes recursively 3. `rm -f` - removes without prompting you 4. `rm -rf` - removes recurisvely without prompty __Use with care__ --- # File content Want to read the content of a text file you can use these commands 1. `cat` - will spit out the whole file on the screen 2. `more` - a paginator - will display one page at a time (based on your screen) 3. `less` - similar to more, but has additional options --- # Editors 1. On Biocluster `nano`. On other systems it is `pico` * Will be one of the easiest to try out on the command line * Follow commands at bottom of screen to figure out how it works 2. `emacs` [tutorial](https://www.masteringemacs.org/article/beginners-guide-to-emacs) [gnuguide](https://www.gnu.org/software/emacs/tour/) 3. `vi` [tutorial](https://www.cs.colostate.edu/helpdocs/vi.html) [vim book](ftp://ftp.vim.org/pub/vim/doc/book/vimbook-OPL.pdf) 4. [Atom](https://atom.io/), [TextMate](https://macromates.com/) on OSX 5. [Notepad++](https://notepad-plus-plus.org/) 5. Syntax highlighting useful when doing programming. We will do more on this later. --- # Practice with editors 1. Open an editor 2. Write a file with three lines that list the names of 3 book titles 3. Save the file --- # Compressed and uncompressed * Data files can be compressed to save disk space * typical compression is `zip`, `gzip`, and `bzip2` ```shell $ ls -l 1008 Sep 28 14:29 file.txt $ gzip file.txt $ ls -l 386 Sep 28 14:29 file.txt.gz $ gunzip file.txt.gz $ ls -l 1008 Sep 28 14:29 file.txt ``` * Can substitute `bzip2` and `bunzip2` * On some systems `pigz` and `pbzip2` are parallelized compressors that can use multiple processors (go faster!) --- # Downloading data from web Cmdline tools `curl` and `wget` can download data from the web/ftp * use `-O` to tell curl to save the data to a file, named by the file link ```shell $ curl -O http://www-personal.umich.edu/~jlawler/wordlist ``` ```shell $ curl -o ucr_index.html https://www.ucr.edu # OR $ curl https://www.ucr.edu > ucr_index_again.html ``` --- # Other resources 1. [Introduction to UNIX Shell - Software Carpentry](https://swcarpentry.github.io/shell-novice/)


The Thumbs module is responsible for rendering
showing and hiding vtt pictures based on mousing mouse on progress bar.
Parameters:
| Name | Type | Description |
|---|---|---|
vidElement |
the this.video element | |
vttThumbsTrackIndex |
the index of Vtt thumbs track in textTracks list of this.video | |
thumbImgElement |
the img element used for thumbs | |
thumbImgElement |
the div element used for thumbs | |
progressBarElement |
the progress element used for thumbs |
- Source:


SenseLife
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Device Name


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Home > Reference > Functions reference > Get functions > Get(TriggerGestureInfo)
Get(TriggerGestureInfo) Purpose In FileMaker Go, returns details about the gesture that activated an OnGestureTap trigger. Format Get(TriggerGestureInfo) Parameters None Data type returned text Originated in FileMaker Pro 13.0 Description In FileMaker Go, returns a list containing these items: • the string tap, indicating the script was started by an OnGestureTap trigger • a value indicating the tap count • a value indicating how many fingers were used to make the tap • the x coordinate in the document where the gesture occurred • the y coordinate in the document where the gesture occurred For multi-finger gestures, the coordinates returned indicate the center point of the gesture. The y coordinate has the header (if present) at 0. The records are listed under the header. Then the footer follows the displayed records. In Form View, only one record is displayed. In List View and Table View, all of the records in the current found set are displayed. This function supports the following gestures: • Single-tap with one, two, or three fingers • Double-tap with one finger Returns an empty string if this function is executed when no OnGestureTap trigger has been activated. Note In other products in the FileMaker product line, this function is not supported and returns an empty string. Examples When a script is triggered by a three-finger single tap, and the gesture occurred at the coordinates (400, 600), this function returns: tap 1 3 400 600 Related topics Functions reference (category list) Functions reference (alphabetical list) About formulas About functions Defining calculation fields Using operators in formulas


Created by Jose Dominguez / @josmasflores
Starting an Activity
Form.java
OrientationSensor.java
Feel free to contact the Open Source group for any additional information


Sergey ShchikunovFrontend developer I have been interested in website development, programming, digital painting for many years. After graduating from Hogwarts, I realized that real magic is not in magic wands. It's in computers and software. Avada Kedavra brothers! |
| Year | Work |
|---|---|
| 2010-2016 | Working in Google's company |
|
|


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Creates an instance of Package.
Returns the content of package.json
in package directory. This field
stays null when Package
first initiated. If you want to use this before
any other method that affects package.json (install
, uninstall
-with save
option-, init
), you need to run forceReloadJson()
.
Returns the package directory.
Pipes the configured streams to the childProcess and handles the persistence of the pipe operation.
Force reload the package.json. Returns empty object when
opts.returnEmptyOnErr
is set to true
.
Get dependency as instance of Package.
Check wether the package has the given dependency or not.
Check devDependencies
instead of dependencies
in
package.json.
Install new dependency.
Pipe npm command output to the given stream. This process can be persistent or non-persistent. Persistent means the piping operation will be applied on the next actions too. This method should be called before the others.
Run npm script in package directory.
Uninstall package(s).
Remove dependency from the dependencies
list of
package.json.
Remove dependency from the devDependencies
list of
package.json.
Creates writable directory and returns new instance of Package pointing to created directory.
Returns the unformatted package name.
Generated using TypeDoc
This is the main class for managing npm packages on local file-system. You can do most of the stuff you do in
npm
cli using this class.Events:
Package


%HX_UPDATE Send motor command and receive sensor state. % % A non-blocking function that sends a command to the robot and receives % the latest sensor information. This function may be used as frequently as % desired, but the simulator/robot is only guaranteed to update at the rate % returned from HX_ROBOT_INFO. % % HX_CONNECT should have been called first. % % sensor = hx_update(command) % % Parameters: % command: Structure with the following named fields: % ref_pos (float array) : An N by 1 (or 1 by N) array of desired positions for % the motors (rad). % ref_pos_enabled (bool) : If true, then the values in ref_pos should be % used; otherwise, they should be ignored. % ref_vel (float array) : An N by 1 (or 1 by N) array of desired % angular velocities for the motors (rad/s). % ref_vel_enabled (bool) : If true, then the values in ref_vel % should be used; otherwise, they should be ignored. % ref_vel_max (float array) : DEPRECATED by ref_vel. An N by 1 (or 1 by N) array of desired maximum % angular velocities for the motors (rad/s). % ref_vel_max_enabled (bool) : DEPRECATED by ref_vel_enabled. If true, then the values in ref_vel_max % should be used; otherwise, they should be ignored. % gain_pos (float array) : An N by 1 (or 1 by N) array of position gains to % be applied to the internal controller (Nm/rad). % gain_pos_enabled (bool) : If true, then the values in gain_pos % should be used; otherwise, they should be ignored. % gain_vel (float array) : An N by 1 (or 1 by N) array of velocity gains to % be applied to the internal controller (Nms/rad). % gain_vel_enabled (bool) : If true, then the values in gain_vel % should be used; otherwise, they should be ignored. % % % Return values: % sensor: Structure with the following named fields: % time_stamp (float) : Time at which the sensor reading was taken (s). % motor_pos (float array) : An N by 1 array of motor positions (rad). % motor_vel (float array) : An N by 1 array of motor velocities (rad/s). % motor_torque (float array) : An N by 1 array of motor torques (Nm). % joint_pos (float array) : An M by 1 array of joint positions (rad). % joint_vel (float array) : An M by 1 array of joint velocities (rad/s). % contact (float array) : An L by 1 array of contact force magnitudes (N). % imu_linear_acc (float array) : A K by 3 array of IMU accelerometer % data (m/s^2). Each row/column is a 3-dimensional vector of accelerometer % output, which comprises the vector difference (a-g), where a is the % linear acceleration and g is the gravity vector. This measurement % is expressed in a body-fixed frame. The entries of each row/column are % measured in meters per second squared and ordered (x, y, z). % imu_angular_vel (float array) : A K by 3 array of IMU gyro data (rad/s). % Each row/column is a 3-dimensional angular velocity vector. This measurement % is expressed in a body-fixed frame. The entries of each row/column are % measured in radians per second and ordered (x, y, z). % imu_orientation (float array) : A K by 4 array of IMU orientation data % (quaternion). Each row/column provides a 4-element quaternion representation % of the estimated orientation of the corresponding IMU. A given % simulator/robot might not support this functionality. % % Throws an error if something failed. % % See also HX_CLOSE, HX_CONNECT, HX_READ_SENSORS, and HX_ROBOT_INFO % % For more information, see the Gazebo HAPTIX site % and/or % the MuJoCo HAPTIX site. function sensor = hx_update(command) sensor = hxgz('update', command); end


  A true classic read by generations of school children.
The sound and the fury by William Faulkner
This is a stream of conciousness novel which chronicles the decline of the American South through the experiences of Benjy Compson, who struggles to articulate his vision of life. The four parts of the novel relate many of the same episodes, each from a different point of view and therefore with emphasis on different themes and events. A challenging read.
East of Eden by John Steinbeck
Most people will associate this with the classic film starring James Dean. Set in the rich farmland of California’s Salinas Valley, this is a powerful, often shocking, story following the intertwined destinies of two families – the Trasks and the Hamiltons.
The great Gatsby by F Scott Fitzgerald
A social satire and a milestone in 20th century literature, The Great Gatsby peels away the layers of the glamorous twenties in the U.S. to display the coldness and cruelty at its heart.
The catcher in the rye by J D Salinger
A 16-year-old American boy relates in his own words the experiences he goes through at school and after, and reveals with unusual candour the workings of his own mind. It is ironic that a book that connected with so many people was written by a man who became a recluse.
The color purple by Alice Walker
This compelling and cherished classic tells the story of Celie. Raped by the man she calls father, her two children taken from her and forced into an ugly marriage, she has no one to talk to but God, until she meets a woman who offers love and support.
The road by Cormac McCarthy
A father and his young son walk alone through a post-apocalyptic America. They have only a pistol to defend themselves against the men that stalk the road. Although it is dark it is also about love. It is about the lengths that the man will go to to protect his son. It is tough but an unforgettable read.
For whom the bell tolls by Ernest Hemingway
Hemingway’s classic portrayal of the Spanish Civil War, seen through the eyes of an American fighting on the Republican side, captures the excitement and danger of war in a way few other works of fiction have been unable to do.
Martin Eden by Jack London
A forgotten classic. This is a thinly disguised description of Jack London’s many struggles to establish himself as a writer. The title character Martin Eden is an uneducated seaman, whose ambitions are triggered by his infatuation with his English tutor, Ruth Morse.
Catch-22 by Joseph Heller
At the heart of Joseph Heller’s bestselling novel is a satirical indictment of military madness and stupidity, and the desire of the ordinary man to survive it. It is the tale of Captain Yossarian who spends his time plotting to survive.


Exception List
Semester Exceptions
Completion Error
School Monitoring
CRC Report
Attendance
Student Attendance Report
Teacher Attendance Report
School Infrastructure
Infrastructure Map Report
Infrastructure Chart Report
Student Performance
Semester Report
Diksha
Diksha Stack Chart
Diksha Column Chart
Diksha Table Report
Telemetry Data
Telemetry
UDISE
UDISE Report


|
masscalculator-core
|
The test fixture for testing class Titanium. More...
#include <titanium_test.h>
Protected Member Functions | |
| TitaniumTest () | |
| Construct a new TitaniumTest object. | |
| ~TitaniumTest ()=default | |
| Destroy the TitaniumTest object. | |
Protected Attributes | |
| MassCalculator::Materials::Titanium | material_T_6Al4V |
| Member objects for class Titanium for each Titanium type. | |
| MassCalculator::Materials::Titanium | material_T_Grade2 |
| MassCalculator::Materials::Titanium | material_T_Grade4 |
| MassCalculator::Materials::Titanium | material_T_Grade5 |
The test fixture for testing class Titanium.


Rememberly
What is Rememberly?
Blurb about our product. We will write a whole paragraph of nonsense here. It'll be great!
Enter text to Analyze


--- layout: post title: Wrong or missing enctype error on Railo summary: I can't be the only one that forgets to change the enctype when writing a form with a file upload. tags: [ColdFusion,Railo] ---
I can't be the only one that forgets to change the enctype when writing a form with a file upload.
Railo simply states:
Form field [fileData] doesn't exist or has no content
Which makes me think I've spelled the form field incorrectly or that I've uploaded an empty file.
A message saying wrong enctype would surely work out better?!


Swapping artwork is great way to build your collection.
Share Materials that you no longer want with other artists.
Need some help...want to help? Trade skills.
Lead Toddler
Lead BattleCat
Lead Drummer/Heartbreak expert
Can you feel artswaps coming on the web tonight?


abstract fun withEncoding(encoding: SerializationEncoding?): SerializationContext
A shallow copy of this context but with the given (possibly null) encoding.


About Us
KitKat is a chocolate-covered wafer bar confection created by Rowntree's of York, United Kingdom, and is now produced globally by Nestlé, which acquired Rowntree in 1988. The standard bars consist of two or four fingers composed of three layers of wafer, separated and covered by an outer layer of chocolate. Each finger can be snapped from the bar separately. There are many different flavours of Kit Kat. You can check some of them below.
Many varieties of Kit Kat have existed, either permanently or as limited editions. In Japan, Nestlé has introduced over 200 different flavours since 2000, including ginger ale, soy sauce, creme brulee, green tea, sake, and banana. Original Kit Kat ingredients unless otherwise stated, listed by decreasing weight: milk chocolate (sugar, milk ingredients, cocoa butter, cocoa mass, whey powder, lactose, soya lecithin, polyglycerol polyricinoleate, natural flavour), wheat flour, sugar, modified palm oil, cocoa, sodium bicarbonate, soya lecithin, yeast, and natural flavour.
Read more about the history of KitKat from Here.
Our Shops Open Hours
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- Saturday: 10:30am - 14:30pm
- Sunday: Closed
Categories
KitKat Chunky
KitKat Chunky: Chunky at its best!
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KitKat Special
KitKat Special, try it when you have a break!
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KitKat White
Enjoy the taste of KitKat White with white chocolate!
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KitKat Blueberry
Try KitKat with a whole different tasty taste!
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KitKat Bars
Eat and share KitKat Bars with your friends!
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KitKat Collection
Enjoy a whole KitKat Collection whenever you want!
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KitKat Cup
KitKat Cup will never disappoint you, mixed with different flavors!
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KitKat Cake
This delicious KitKat Cake will make everyone in a birthday or a party happier!
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Funny KitKat Bars
Have Fun with KitKat!
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Last changed : 14 Feb, 2021
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You shouldn't lose sleep keeping track of yours or your loved ones vaccination records.
And now you don't need to. An application that allows you and your healthcare team to keep track of vaccinations.
Do not enter real patient information.
Doing so may be a crime and a violation of HIPAA.


Online marketplaces have recently been popular with the rise of "Sharing Economy". This allows people to easily access online someone else’s goods, services or spaces on a peer-to-peer (C2C), B2C and B2B basis. Some of the most nothworthy online marketplace platforms are Airbnb, Uber, Taskrabbit or Etsy. We support your ideas and allow you to have your own online Service marketplace or a custom marketplace that fits into your business model as well as industry.


| {{HT_IDEAL_G}} | {{HT_RATED_G}} | {{HT_ESTIMATED_G}} |
|
||||
| Charge State | {{CHARGE_STATE}} | |||
| Location | {{HT_LOC}} | |||
| Inactivity Mode | {{I_MODE}}, Current State: {{I_STATE}} |
Vehicle Status as of {{DATE}} {{TIME}}
| {{HT_IDEAL_G}} | {{HT_RATED_G}} | {{HT_ESTIMATED_G}} |
|
||||
| Charge State | {{CHARGE_STATE}} | |||
| Location | {{HT_LOC}} | |||
| Inactivity Mode | {{I_MODE}}, Current State: {{I_STATE}} |
Vehicle Status as of {{DATE}} {{TIME}}


*/Adding a function to outdoor pots / *
OUTDOOR POTS
*/ this is the image inside the outdoor /*
*/ this is the price of the pots/*
₱80.00
Color
*/ sizes of the pots/*
Size
XS
S
M
L
XL
Qty
Add to cart


I'm a researcher at Carnegie Mellon that studies mobile privacy. I developed PrivacyGrade on Android as a part of my research.
I teach 98-291, Introduction to Android Development, and helped create and pilot the course in Spring 2016. In the past, I have been on a world-champion robotics team, and featured on live television for an academic quiz bowl (warning: hilarity ensued).
I'm a computer science major at Carnegie Mellon University. When I'm not learning more about math, computer science and software engineering, I can be found playing video games, watching sports, reading literature, and exploring Pittsburgh.
...most things in computer science. Lately, I've gotten into algorithms, cryptography, and complexity theory. Before that, I was into compilers and programming language semantics. I also enjoy mobile development and have significant experience with Android development (and a little iOS). I have a soft spot for computer systems classes where I learn to hack in C like it was 1989. And of course, I would be remiss if I didn't mention that where I come from, functions are values, and pirates split gold very often.


INTERIORS
Other Interiors
-
Buckingham Palace
London, UK
-
Gonville and Caius College
Cambridge, UK
-
Lady Margaret Hall
Oxford, UK
-
Hawkes and Wainer Opticians
London, UK
-
Ptolomy's Bar
London, UK
-
Brownsword Poundbury
Dorset, UK
-
Jafar Gallery and Debating Chamber, Eton College
Windsor, UK
-
Royal College of Music
London, UK
-
Peterhouse
Cambridge, UK


{% extends "review/base.html" %} {% block content %} Activity name: {{gID.title}} {% if allow_activity %}
| Groups | Description | Members | Enrol | Leave | Outcome | {% for idx, group in groups.items %}
| {{group.obj.name}} | {{group.obj.description}} | {{group.n_filled}}/{{group.obj.capacity}} | {{group.enrol_link}} | {{group.leave_link}} |


BREAKING: Oshiomhole to meet House of Reps APC caucus
by Leke BaiyewuLeke Baiyewu, Abuja
The National Chairman of the ruling All Progressives Congress, Adams Oshiomhole, is to meet with members of the party’s caucus in the House of Representatives.
The Deputy Speaker, Ahmed Wase, while presiding over the plenary on Thursday, announced the meeting scheduled for 3.00 p.m.
Details later…


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--- layout: post title: "Car RRT Path Planning" date: 2018-07-31 01:02:31 -0700 category: Robotics featured: true description: Non-holonomic motion planning, rapidly-exploring random tree. permalink: /car_rrt_path_planning.html title-image: rrt_small.gif github: https://github.com/darkthecross/car_rrt_path_planning ---
I saw an interesting image on the book Planning Algorithms, showing the path planning result for a car which can only turn left to drive through a complex environment. Thus I want to do the non-holonomic planning by myself.
So the first step should be implementing an RRT. And to achieve good execution time of fining closest nodes, it is neccesary to implement an underlying kd-tree.
Then we need a local planner which could give us a feasible solution for simple situations. It is not hard to derive a method to plan a path using the series of circles which lies to the left of the initial and terminal states. Just find the tangent circles, since we do not really need to guarantee to find a solution or find the optimal solution.
And it worked. Although since there's nothing to tell the car that we do not want to go reverse, the planned trajectory was full of segments of driving reverse :)


My long term goal is to become a Software Developer, I love to develop the Artificial Intelligenc system and anything related to Machine learning functionality. I love the future of AI and want to see how the world adpat this Robotic age. Apart from it, I also aim to study more in Cyber Security, but haven't quite sure yet when I could do this.
70% Technical and Coding, 30% Networking
My strength is I never want to give up one what I want to achieve / Limitation Financial resources and time
As I stated, the money and time that I already invested in. I will never waste them as no one accept a lost investment.
Being committed to yourself to be at EDA school everyday from 9am - 7pm, I reckon I will have enough time to ask for help from other fellow students, my facilitator, my mentor and my friends
To recognized when people need help, I knew there is always someone does not how to seek for help.
Luckily, I do not have much other commitment at the moment. The only person I would care is my partner at the moment, I lived too far away from my parents. The 90% commitment I have to ensure is myself. The faster I can get a job, the faster I can support my family and building my own family in the futre.


Getting Down with HTML/CSS Exercises
Elements
Block-level Elements
Inline Elements
Object Elements
Special Characters
Lists
Ordered
Unordered
Description
Tables
Decimal, Binary, Octal, Hex
My Table
Links
My Favorite Websites
Images
Gallery 1
Gallery 2
Forms
Forms 1
Forms 2
Forms 3
Forms 4
CSS
Web Skills
CSS Properties
New Index
Basic Selectors
Nested Boxes
Block Level Elements
Box Size
Display 1
Display 2
Positioning
Grid 1
Grid 2
Return Back to the Home Page


R/pg_dbCreatePrimaryIndex.R
pgCreatePrimaryIndex.Rd
Description
pgCreatePrimaryIndex(pg_conn, schema_name, table_name, primary_keys = "NA")
| pg_conn | connection string Postgres connection pointer/string (PqConnection) created from RPostgres::Postgres(). JDBC connections will break this function. |
|---|---|
| schema_name | string Posgres schema name. |
| table_name | string Postgres table name. |
| primary_keys | string list of primary keys. |
The results will look like the print out below. It is a generic print out from RPostgres. Check the table metadata in Postgres server to check primary key build.
The table name needs to include the schema in the Postgres server. The list of primary keys can simply be "var1,var2,var3" because this will be inserted into an SQL statement that will be sent to the server.


Interactive Containers
By the end of this exercise, you should be able to:
- Launch an interactive shell in a new or existing container
- Run a child process inside a running container
- List containers using more options and filters
Writing to Containers
Create a container using the
centos:7
image, and connect to its bash shell in interactive mode using the-i
flag (also the-t
flag, to request a TTY connection):[centos@node-0 ~]$ docker container run -it centos:7 bash
Explore your container's filesystem with
ls
, and then create a new file:[root@2b8de2ffdf85 /]# ls -l [root@2b8de2ffdf85 /]# echo 'Hello there...' > test.txt [root@2b8de2ffdf85 /]# ls -l
Exit the connection to the container:
[root@2b8de2ffdf85 /]# exit
Run the same command as above to start a container in the same way:
[centos@node-0 ~]$ docker container run -it centos:7 bash
Try finding your
test.txt
file inside this new container; it is nowhere to be found. Exit this container for now in the same way you did above.
Reconnecting to Containers
We'd like to recover the information written to our container in the first example, but starting a new container didn't get us there; instead, we need to restart our original container, and reconnect to it. List all your stopped containers:
[centos@node-0 ~]$ docker container ls -a CONTAINER ID IMAGE COMMAND CREATED STATUS ... cc19f7e9aa91 centos:7 "bash" About a minute ago Exited (0) About a minute ago ... 2b8de2ffdf85 centos:7 "bash" 2 minutes ago Exited (0) About a minute ago ... ...
We can restart a container via the container ID listed in the first column. Use the container ID for the first
centos:7
container you created withbash
as its command (see theCREATED
column above to make sure you're choosing the first bash container you ran):[centos@node-0 ~]$ docker container start <container ID> [centos@node-0 ~]$ docker container ls CONTAINER ID IMAGE COMMAND CREATED STATUS ... 2b8de2ffdf85 centos:7 "bash" 5 minutes ago Up 21 seconds ...
Your container status has changed from
Exited
toUp
, viadocker container start
.Run
ps -ef
inside the container you just restarted using Docker'sexec
command (exec
runs the specified process as a child of the PID 1 process inside the container):[centos@node-0 ~]$ docker container exec <container ID> ps -ef
What process is PID 1 inside the container? Find the PID of that process on the host machine by using:
[centos@node-0 ~]$ docker container top <container ID>
Launch a bash shell in your running container with
docker container exec
:[centos@node-0 ~]$ docker container exec -it <container ID> bash
List the contents of the container's filesystem again with
ls -l
; yourtest.txt
should be where you left it. Exit the container again by typingexit
.
Using Container Listing Options
In the last step, we saw how to get the short container ID of all our containers using
docker container ls -a
. Try adding the--no-trunc
flag to see the entire container ID:[centos@node-0 ~]$ docker container ls -a --no-trunc
This long ID is the same as the string that is returned after starting a container with
docker container run
.List only the container ID using the
-q
flag:[centos@node-0 ~]$ docker container ls -a -q
List the last container to have been created using the
-l
flag:[centos@node-0 ~]$ docker container ls -l
Finally, you can also filter results with the
--filter
flag; for example, try filtering by exit code:[centos@node-0 ~]$ docker container ls -a --filter "exited=0"
The output of this command will list the containers that have exited successfully.
Clean up with:
[centos@node-0 ~]$ docker container rm -f $(docker container ls -aq)
Conclusion
In this demo, you saw that files added to a container's filesystem do not get added to all containers created from the same image; changes to a container's filesystem are local to itself, and exist only in that particular container. You also learned how to restart a stopped Docker container using docker container start
, how to run a command in a running container using docker container exec
, and also saw some more options for listing containers via docker container ls
.


|
Michael
Jackson
|
|
|
Invincible
|
1.
Unbreakable
2. Heartbreaker 3. Invincible 4. Break Of Dawn 5. Heaven Can Wait 6. You Rock My World 7. Butterflies 8. Speechless 9. 2000 Watts 10. Shout 11. Don't Walk Away 12. Privacy 13. Cry 14. Lost Children, The 15. Whatever Happens 16. Threatened |
|
|
|
|
Blood
On
The Dance Floor |
1.
Blood On The Dance Floor
2. Morphine 3. Superfly Sister 4. Ghosts 5. Is It Scary 6. Scream Louder 7. Money 8. 2 Bad 9. Stranger In Moscow 10. This Time Around 11. Earth Song 12. You Are Not Alone 13. History |
|
|
|
|
History
|
1.
Billie Jean
2. The Way You Make Me Feel 3. Black Or White 4. Rock With You 5. She's Out Of My Life 6. Bad 7. I Just Can't Stop Loving You 8. Man In The Mirror 9. Thriller 10. Beat It 11. The Girl Is Mine 12. Remember The Time 13. Wanna Be Startin Somethin 14. Heal The World 15. Scream 16. Stranger In Moscow 17. This Time Around 18. Earth Song 19. D.S. 20. Money 21. Come Together 22. You Are Not Alone 23. Childhood 24. Tabloid Junkie 25. 2 Bad 26. History 27. Little Susie 28. Smile |
|
|
|
|
Bad
|
1.
Bad
2. The Way You Make Me Feel 3. Speed Demon 4. Liberian Girl 5. Just Good Friends 6. Another Part Of Me 7. Man In The Mirror 8. I Just Can't Stop Loving You 9. Dirty Diana 10. Smooth Criminal 11. Leave Me Alone |
|
|
|
|
Thriller
|
1.
Wanna Be Strartin' Somethin'
2. Baby Be Mine 3. The Girls Is Mine 4. Thriller 5. Beat It 6. Billie Jean 7. Human Nature 8. P.Y.T. (Pretty Young Thing) 9. The Lady In My Life |
|
|
|
|
Off
The Wall
|
1.
 Rock With You 3. Working Day And Night 4. Get On The Floor 5. Off The Wall 6. Girlfriend 7. She's Out If My Life 8. I Can't Help It 9. It's The Falling In Love 10. Burn This Disco Out |
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Sem
Álbum
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Sick: The Life and Death of Bob Flanagan, Supermasochist
Rating: ***1/2 out of *****
By Fernando Vallejo
Starring Bob Flanagan and Sheree Rose. Interviews by Kathe Burkhart, Kirby Dick and Rita Valencia. Produced and directed by Kirby Dick. Running Time: 90 mins. This film is not rated.
__________________________________________________________
The central themes of "Sick: The Life and Death of Bob Flanagan, Supermasochist" are pain and love, and its subsequent effect on a person's life. Its protagonist, Bob Flanagan, who died at the age of 52, suffered from cystic fibrosis, a mortal disease which debilitates the lungs by saturating them with thick coats of mucus, preventing him from normal breathing.
The movie is about much more than recouperating ( or attempting to ) from this disease.
An audacious, fabulously triumphant docudrama, "Sick" chronicles the life of Flanagan and his vicious, unthinkable acts of sadomasochism conducted with his mistress of 15 years, Sheree Rose, who amazingly provided much of the footage for the film.
Flanagan's idelogy crosses the realms of rebelliousness and becomes transcendental, similar to Terry Zwigoff's brilliant 1994 "Crumb", which also explored the dysfunction of an artist by painting not a sympathetic portrait, but a realistic one. Both Crumb and Flanagan revelled in their defects. But Flanagan was not only a man content on enduring the pain via lungs, he inflicted acts of pain on himself at a very young age, courageously defying God ( he was an Irish Catholic ) and turning his body into a work of art, which he unraveled in museums and lectures.
Behold these works of physical art.
Flanagan was a man of great intelligence, wit and humor, as well as adopting a sense of candidness scarcely seen in modern filmmaking. Not only did he approach his disease with humor, peforming burlesque acts in front of an audience, he was also revitalized by his approachment. Most with cystic fibrosis do not make it past their earlier twenties ( there's also a subplot involving a female devotee who knew death was awaiting her. )
But the most outstanding thing about "Sick" is Flanagan's relationship with Sheree. Brimming with honesty, sensual stimulation and unapologetically sad moments of pain, their powerful bond lifts "Sick" into a rare cinematic high, where we forget we are in an auditorium and become a part of these people.
The last scene, where we see the hero murmuring the last words to his wife in a hospital bed, as he struggles for his last moments of life, is raw, tender, hideous. It goes a step beyond cinematic intimacy.
(C) 1997 Fernando Vallejo<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Administration
SimpleEPT has a flexible security system which allows you to configure who can access
and what they can do/see within the system. It supports the concepts of users, groups, permissions, roles,
and organization units.
- Users are the individual members of the organization who are allowed to log in to the SimpleEPT
to perform their required tasks. Those include investigators, compliance officers, administrators etc.
The administrator controls the levels of functionality and the data that users can access by
assigning them to Groups or by granting roles directly to each user.
- Groups are collections of users. Users that carry out common functions are grouped together in order that
roles (and therefore permissions) can be granted to the group as a whole instead of to each individual user.
This is possible as all members of the group inherit the security permissions that are assigned to users through
group roles. You can add as many users as you want to a particular group.
- Permissions govern access to functions within the system including the menu items and workflow actions.
Permissions provide access to functional areas of the SimpleEPT. It combines with Organization Units
to govern access to the data.
- Roles are collections of one or more permissions. A role determines the functionality a user can access
in the system. The administrator may grant several roles to users or to user groups. An administrator defines
and maintains the security roles within the system and the permissions associated with each role. A role may be
thought of as a job function that one of the users of the system may use. For example, Alert Investigator,
Supervisor, List administrator, and so on. When role is assigned to users or groups, it must also specify an
Organizational Unit. A User can have a role in Organization Unit X and a role B in Organization Unit Y.
- Organization Units are lines of business within the organization.
Entities within the SimpleEPT must be assigned to a particular Organization Unit.
This enables the data to be split into different business areas that can be acted upon by specific users and groups
of users, who also have roles that are assigned to specific Organization Units.
SimpleEPT uses its internal tables for authentication and authorization. It also can integrate with
LDAP for authentication. If internal tables are used for authentication, system administrator can configure
the password strength rules (via regular expression), password expire interval, maximum allowed failed login count, etc.


With Code!!
... and hopefully some nice UI
Prequisites
compileSdkVersion 23
USE_FINGERPRINT permission
Device or emulator with fingerprint sensor
Fingerprint Classes
- FingerprintManager
- CancellationSignal
- AuthenticationCallback
- CryptoObject
FingerprintManager
FingerprintManagerCompat
FingerprintManagerCompat
return FingerprintManagerCompat.from(context);
FingerprintManagerCompat
FingerprintManagerCompat
- #isHardwareDetected
- #hasEnrolledFingerprints
#authenticate(...)
- CryptoObject
- flags
- CancellationSignal
- AuthenticationCallback
- Handler
#authenticate(...)
- (CryptoObject)
- flags
- CancellationSignal
- AuthenticationCallback
- Handler
#authenticate(...)
- (CryptoObject)
- (flags)
- CancellationSignal
- AuthenticationCallback
- Handler
#authenticate(...)
- (CryptoObject)
- (flags)
- CancellationSignal
- AuthenticationCallback
- (Handler)
#authenticate(...)
- (CryptoObject)
- (flags)
- CancellationSignal
- AuthenticationCallback
- (Handler)
#authenticate(...)
- (CryptoObject)
- (flags)
- CancellationSignal
- AuthenticationCallback
- (Handler)
onAuthentication...
- Succeeded
- Error
- Failed
- Help
onAuthenticationError
- Fingerprint detection not possible
- Operation cancelled
onAuthenticationFailed
- Fingerprint detected but not authenticated
onAuthenticationHelp
- Recoverable error
- Help string provided
onAuthenticationSucceeded
- Fingerprint was detected and authenticated
- Access to CryptoObject


When disaster does strike, our restoration systems are able to restore most systems to full functionality within 2 hours*, even from a completely non-functional state. Even our restoration systems have been hardened to divert attack, yet while keeping the restoration process extremely simple
When disaster does strike, our restoration systems are able to restore most systems to full functionality within 2 hours*, even from a completely non-functional state. Even our restoration systems have been hardened to divert attack, yet while keeping the restoration process extremely simple


You might be wondering how to create your own BigJob script or how BigJob can be useful for your needs.
The first example, below, submits N jobs using BigJob. This is very useful if you are running many jobs using the same executable. Rather than submit each job individually to the queuing system and then wait for every job to become active and complete, you submit just one ‘Big’ job that reserves the number of cores needed to run all of your jobs. When this BigJob becomes active, your jobs are pulled by BigJob from the Redis server and executed.
The below examples demonstrates the mapping of a simple job (i.e. executable is /bin/echo) using all of the parameters of a Compute Unit Description. Specifically, it shows how to run 4 jobs on your local machine using fork:
import os
import time
import sys
from pilot import PilotComputeService, ComputeDataService, State
### This is the number of jobs you want to run
NUMBER_JOBS=4
COORDINATION_URL = "redis://localhost:6379"
if __name__ == "__main__":
pilot_compute_service = PilotComputeService(COORDINATION_URL)
pilot_compute_description = { "service_url": "fork://localhost",
"number_of_processes": 1,
"working_directory": os.getenv("HOME")+"/agent",
"walltime":10
}
pilot_compute_service.create_pilot(pilot_compute_description)
compute_data_service = ComputeDataService()
compute_data_service.add_pilot_compute_service(pilot_compute_service)
print ("Finished Pilot-Job setup. Submitting compute units")
# submit compute units
for i in range(NUMBER_JOBS):
compute_unit_description = {
"executable": "/bin/echo",
"arguments": ["Hello","$ENV1","I am CU number "+str(i)],
"environment": ['ENV1=World'],
"number_of_processes": 1,
"spmd_variation":"single",
"output": "stdout.txt",
"error": "stderr.txt",
}
compute_data_service.submit_compute_unit(compute_unit_description)
print ("Waiting for compute units to complete")
compute_data_service.wait()
print ("Terminate Pilot Jobs")
compute_data_service.cancel()
pilot_compute_service.cancel()


Release Console
operations
which releases
|
upload release
|
unpack release
|
install release
|
remove release
|
make permanent
|
reboot
|
shutdown
|
clear output
output


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{%trans%}Get MPContribs {{ version }} from PyPI:{%endtrans%}
pip install -U mpcontribs
{%trans%}For questions and suggestions, join the mpcontribs mailing list:{%endtrans%}
{%trans%}or open an issue at the tracker, or chat with our community:{%endtrans%}


Lightning is a Java-based, distributed, super fast, asynchronous, URL execution engine that delivers at scale.
|
High Speed 500K URL execution in a
|
Scalable simply add cluster nodes
|
Distributed Urls are executed from
|
Asynchronous Non blocking submission
|
|
|
|||
|
Fault Tolerant built-in failover and load
|
Accurate Guaranteed execution
|
Masterless Cluster No leader election
|
Easily Manageable easy to follow, dynamic
|


Thank you for taking the time to help us improve the platform
Name of country
which car do you have?
Name of Programming you know?
remark:


This inspection reports libraries dependencies in Maven that should be updated in order to be compatible with Kotlin 1.3+.


Motor Level
Level of the caudal innervated muscle having grade 3 or better strength where all muscles above are graded 5.
Sensory Level
Caudal dermatomal level with normal sensation to pinprick and light touch with all dermatomes above being normal.
Neurological Level
Rostral of either the sensory or motor levels
When there is no key muscle immediately rostral to a key muscle graded 3 or 4, use the sensory exam as indicatve of motor function at that more rostral level
If the level of injury is at a site for which there is no key muscle (e.g. C2-C4, T2-L1, S2-S4/5), the motor level is defined by the sensory level.
AIS Classification
| A | Complete. No sensory or motor function at S4/S5 |
| B | Sensory Incomplete. Sensory, but no motor function at S4/S5 |
| C | Motor Incomplete. 1) Voluntary anal contraction present 2) Motor function present more than 3 myotomes below motor level |
| D | Motor Incomplete. Half or more key muscles below the single neurological level have a grade greater than or equal to 3. |
| E | Normal. All components of International Standards Exam are Normal. |
Zone of Partial Preservation
ZPP is used only for complete injuries.
ZPP is the most caudal level that has sensory and/or motor function below the level of injury