functions package¶
Submodules¶
functions.email_service module¶
-
functions.email_service.
send_tachycardia_email
(df)¶ Sends an email to the attending physician
The email warns of a tachycardic heart rate and includes the patient ID, age, current heart rate, and the time that the heart rate was recorded.
Parameters: df (dict) – dictionary containing the tachycardic patient information and heart rate data. Returns: None
functions.hr_calculations module¶
-
functions.hr_calculations.
append_heart_rate
(df, database)¶ Appends the input heart rate to the patient in the database
Parameters: - df (dict) – input dictionary of patient_id and heart_rate
- database (list of dict) – list containing all patient data
Returns: - updates database to include the heart rate, also
return the index of the patient in the database so that the patient ID will not have to be found again for following calculations
Return type: list of dict, int
-
functions.hr_calculations.
average_heart_rate
(heart_rates)¶ Calculate the average of a list of heart rates
Parameters: heart_rates (list) – a list of heart rates Returns: the average heart rate Return type: float
-
functions.hr_calculations.
check_recent_timestamps
(times, ref_time)¶ Checks if the input time is too recent and precludes all measurements
Parameters: - times (list) – list of times, in seconds float, in which recordings were made
- ref_time (float) – input reference time in seconds
Returns: returns True if there are more recent measurements than ref_time
Return type: bool
-
functions.hr_calculations.
create_timestamp
()¶ Creates a timestamp for the heart rate measurement
Returns: date and time, eg. “2018-03-09 11:00:36.372339” Return type: str
-
functions.hr_calculations.
find_id_ind
(p_id, database)¶ Finds the index of the input patient in the database
Parameters: - p_id (str) – the input patient ID
- database (list of dict) – Contains all entered patients
Returns:
-
functions.hr_calculations.
find_index_larger
(times, ref_time)¶ Returns the index of times whose value is just larger than ref_time
Parameters: - times (list) – A list of floats denoting a datestring in seconds
- ref_time (float) – A input date in seconds
Returns: the index which is just larger than ref_time
Return type: int
-
functions.hr_calculations.
get_date_as_numeric
(date)¶ Takes the date as a string and returns it as a float The input date is converted to seconds for comparison with other dates
Parameters: - date (str) – the date as a string “%Y-%m-%d %H:%M:%S.%f”,
- "2018-03-09 11 (eg) – 00:36.372339”
Returns: time in seconds
Return type: float
-
functions.hr_calculations.
get_heart_rates
(p_id, database)¶ Takes a patient ID and returns all recorded heart rate information
Parameters: - p_id (str) – the patient ID to use for heart rate retrieval
- database (list of dict) – the database containing all patient information
Returns: a list of all heart rates recorded for a given patient
Return type: list
-
functions.hr_calculations.
get_times
(p_id, database)¶ Retrieve the timestamps for each heart rate recorded
Parameters: - p_id (str) – a string identifying the patient
- database (list of dict) – contains all patient data
Returns: a list of timestamps pertaining to the patient
Return type: list
-
functions.hr_calculations.
hr_after_time
(ref_time, timestamps, heart_rates)¶ Gather the heart rates after a reference point in time Converts string dates to a numeric in seconds, then checks that there are recorded values occurring after the reference time. Returns a list of heart rate measurements after ref_time.
Parameters: - ref_time (str) – the date and time as input by the user
- timestamps (list) – a list of strings of the timestamps denoting when heart rate information was encountered.
- heart_rates (list) – a list of recorded heart rates
Returns: a list of heart rates recorded after ref_time
Return type: list
functions.tachycardia module¶
-
class
functions.tachycardia.
Tachycardic
¶ Bases:
object
-
find_age
(database, ind)¶ Finds the patient’s age from the database
Parameters: - database (list of dict) – a list of patients and their information
- ind (int) – the index of the patient in database
Returns: the users age in years
Return type: int
-
get_heart_rate
(database, ind)¶ Finds the patient’s last heart rate in the database
Parameters: - database (list of dict) – a list of patients and their information
- ind (int) – the index of the patient in database
Returns: the last recorded heart rate for the patient
Return type: int
-
get_timestamp
(database, ind)¶ Returns the timestamp of the last recorded heart rate
Parameters: - database (list of dict) – a list of patients and their information
- ind (int) – the index of the patient in database
Returns: timestamp from last recorded heart rate
Return type: str
-
is_tachycardic
(patient_id, database)¶ Computes if the patient is tachycardic This function finds the patient in the datebase, grabs the last heart rate recorded, and uses the patient’s age to determine if the patient is tachycardic
Parameters: - patient_id (str) – patient identifier
- database (list of dict) – a list of patients and their information
Returns: True if the patient is tachycardic, false otherwise str: timestamp of last recorded heart rate
Return type: bool
-
functions.verify_inputs module¶
-
functions.verify_inputs.
check_date_format
(date)¶ Checks the formatting of the posted date
The date should be in the format: “%Y-%m-%d %H:%M:%S.%f” (eg. ‘2018-03-09 11:00:36.372339’). Returns False if this is not the case.
Parameters: date (str) – input date as a string Returns: True is the date is in the correct format Return type: bool
-
functions.verify_inputs.
contains_key
(required_key, df)¶ Checks if the required key is found in the input dictionary
Parameters: - required_key (str) – a required key
- df (dict) – the input dictionary being checked
Returns: True if the input contains the required key and False otherwise
Return type: bool
-
functions.verify_inputs.
hr_validation
(hr)¶ Validates that the given heart rate is within physiological ranges
Source for heart rate bounds: https://iytmed.com/dangerous-heart-rate/
Parameters: hr (int) – input heart rate in bmp Returns: Boolean returns True if heart rate is within possible bounds Return type: bool
-
functions.verify_inputs.
is_dictionary
(df)¶ Determine if an input varible is a dictionary
Parameters: df – incoming dictionary Returns: True if the input was a dictionary and False otherwise Return type: bool
-
functions.verify_inputs.
is_numeric
(num)¶ Checks if the input variable is numeric
The function converts numeric strings and floats to int. If these processes fail, it returns a False flag which can be used for error handling.
Parameters: num (int or float or float) – input number Returns: - True if the input is numeric, the input returned as an
- integer
Return type: bool, int
-
functions.verify_inputs.
patient_is_in_database
(p_id, database)¶ This function searches the database for an input patient ID
Parameters: - p_id (str) – patient ID
- database (list of dict) – list containing all patient and heart rate information
Returns: Boolean value returns True if the patient is in the database
Return type: bool
-
functions.verify_inputs.
valid_email
(email)¶ Check if entered email address is valid
This checks if the email address contains a “@” followed by a “.”
Parameters: email (str) – input email address Returns: True if the input is a valid email and False otherwise Return type: bool
-
functions.verify_inputs.
verify_input_hr
(df, database)¶ verifies that new heart rate information is in the correct format
This function tests that the input data is a dictionary, contains the required keys, has an existing patient ID, and that the heart rate is a valid integer.
Parameters: - df (dict) – input dictionary for a new patient
- database (list of dict) – full list of patient data
Returns: True if passes all tests
Return type: bool
-
functions.verify_inputs.
verify_input_internal_average
(df, database)¶ - verifies that the data structures posted to the input_internal_average
- function is in the correct format
This function tests that the input data is a dictionary, contains the required keys, has a valid email, and that the patient’s age is a valid integer.
Parameters: - df (dict) – input dictionary for a new patient
- database (list of dict) – full list of patient data
Returns: True if passes all tests
Return type: bool
-
functions.verify_inputs.
verify_new_patient
(df, database)¶ verifies that new patient information is in the correct format
This function tests that the input data is a dictionary, contains the required keys, has a valid email, and that the patient’s age is a valid integer.
Parameters: - df (dict) – input dictionary for a new patient
- database (list of dict) – full list of patient data
Returns: True if passes all tests
Return type: bool


micro_dl.networks module
Submodules
Submodules
micro_dl.networks.base_conv_net module
Base class for all networks
micro_dl.networks.base_image_to_vector_net module
Network for regressing a vector from a set of images
- class micro_dl.networks.base_image_to_vector_net.BaseImageToVectorNet(network_config, predict=False)
Bases:
BaseConvNet
Network for regression/classification from a set of images
- build_net()
Assemble the network
micro_dl.networks.base_unet module
Base class for U-net
- class micro_dl.networks.base_unet.BaseUNet(network_config, predict=False)
Bases:
BaseConvNet
Base U-net implementation
2) residual Unet: https://arxiv.org/pdf/1711.10684.pdf border_mode=’same’ preferred over ‘valid’. Else have to interpolate the last block to match the input image size.
- build_net()
Assemble the network
micro_dl.networks.conv_blocks module
Collection of different conv blocks typically used in conv nets
- micro_dl.networks.conv_blocks.conv_block(layer, network_config, block_idx)
Convolution block
- Allowed block-seq: [conv-BN-activation, conv-activation-BN,
BN-activation-conv]
- To accommodate params of advanced activations, activation is a dict with
keys ‘type’ and ‘params’.
For a complete list of keys in network_config, refer to BaseConvNet.__init__() in base_conv_net.py
- Parameters
layer (keras.layers) – current input layer
network_config (dict) – dict with network related keys
block_idx (int) – block index in the network
- Returns
keras.layers after performing operations in block-sequence repeated for num_convs_per_block times
TODO: data_format from network_config won’t work for full 3D models in predict if depth is set to None
- micro_dl.networks.conv_blocks.downsample_conv_block(layer, network_config, block_idx, downsample_shape=None)
Conv-BN-activation block
- Parameters
layer (keras.layers) – current input layer
network_config (dict) – please check conv_block()
block_idx (int) – block index in the network
downsample_shape (tuple) – anisotropic downsampling kernel shape
- Returns
keras.layers after downsampling and conv_block
- micro_dl.networks.conv_blocks.pad_channels(input_layer, final_layer, channel_axis)
Zero pad along channels before residual/skip add
- Parameters
input_layer (keras.layers) – input layer to be padded with zeros / 1x1
to match shape of final layer :param keras.layers final_layer: layer whose shape has to be matched :param int channel_axis: dimension along which to pad :return: keras.layer layer_padded - layer with the same shape as final
layer
- micro_dl.networks.conv_blocks.residual_conv_block(layer, network_config, block_idx)
Convolution block where the last layer is merged (+) with input layer
- Parameters
layer (keras.layers) – current input layer
network_config (dict) – please check conv_block()
block_idx (int) – block index in the network
- Returns
keras.layers after conv-block and residual merge
- micro_dl.networks.conv_blocks.residual_downsample_conv_block(layer, network_config, block_idx, downsample_shape=None)
Convolution block where the last layer is merged (+) with input layer
- Parameters
layer (keras.layers) – current input layer
network_config (dict) – please check conv_block()
block_idx (int) – block index in the network
downsample_shape (tuple) – anisotropic downsampling kernel shape
- Returns
keras.layers after conv-block and residual merge
- micro_dl.networks.conv_blocks.skip_merge(skip_layers, upsampled_layers, skip_merge_type, data_format, num_dims, padding)
Skip connection concatenate/add to upsampled layer :param keras.layer skip_layers: as named :param keras.layer upsampled_layers: as named :param str skip_merge_type: [add, concat] :param str data_format: [channels_first, channels_last] :param int num_dims: as named :param str padding: same or valid :return: keras.layer skip merged layer
micro_dl.networks.image2D_to_vector_net module
Image 2D to vector / scalar conv net
- class micro_dl.networks.image2D_to_vector_net.Image2DToVectorNet(network_config, predict=False)
Bases:
BaseImageToVectorNet
Uses 2D images as input
micro_dl.networks.image3D_to_vector_net module
Image 3D to vector / scalar conv net
- class micro_dl.networks.image3D_to_vector_net.Image3DToVectorNet(network_config, predict=False)
Bases:
BaseImageToVectorNet
Uses 3D images as input
micro_dl.networks.unet2D module
Unet 2D
micro_dl.networks.unet3D module
Unet 3D
micro_dl.networks.unet_stack_2D module
Predict the center slice from a stack of 3-5 slices
- class micro_dl.networks.unet_stack_2D.UNetStackTo2D(network_config, predict=False)
Bases:
BaseUNet
Implements a U-net that takes a stack and predicts the center slice
- build_net()
Assemble the network
Treat the downsampling blocks as 3D and the upsampling blocks as 2D. All blocks use 3D filters: either 3x3x3 or 3x3x1. Another variant is: if the stack could be treated as channels similar to RGB and 2D convolutions are sufficient to extract features. This could be done by using UNet2D with num_input_channels = 3 (N) and num_output_channels = 1
micro_dl.networks.unet_stack_stack module
Unet for 3D volumes with anisotropic shape
micro_dl.networks.vqnet module
- class micro_dl.networks.vqnet.VQVAE(network_config, predict=False)
Bases:
BaseConvNet
- build_net()
Assemble/build the network from layers
- decoder_pass(inputs)
- encoder_pass(inputs)
- class micro_dl.networks.vqnet.VectorQuantizer(k, **kwargs)
Bases:
Layer
- build(input_shape)
Creates the layer weights.
Must be implemented on all layers that have weights.
- # Arguments
- input_shape: Keras tensor (future input to layer)
or list/tuple of Keras tensors to reference for weight shape computations.
- call(inputs)
This is where the layer’s logic lives.
- # Arguments
inputs: Input tensor, or list/tuple of input tensors. **kwargs: Additional keyword arguments.
- # Returns
A tensor or list/tuple of tensors.
- sample(k_index)
Module contents
Classes related to different NN architectures


{% extends "_donut.html" %} {% block main %}
A paragraph (from the Greek paragraphos, “to write beside” or “written beside”) is a self-contained unit of a discourse in writing dealing with a particular point or idea. A paragraph consists of one or more sentences. Though not required by the syntax of any language, paragraphs are usually an expected part of formal writing, used to organize longer prose.
A block quotation (also known as a long quotation or extract) is a quotation in a written document, that is set off from the main text as a paragraph, or block of text.
It is typically distinguished visually using indentation and a different typeface or smaller size quotation. It may or may not include a citation, usually placed at the bottom.
Said no one, ever.
| Heading 1 | Heading 2 | Heading3LongOneWord | Heading 4 That Is Super Long | Heading 5 |
|---|---|---|---|---|
| Table Cell 1 | Table Cell 2 | Table Cell 3 | Table Cell 4 | Table Cell 5 |
| Table Cell 1 | Table Cell 2 | Table Cell 3 | Table Cell 4 | Table Cell 5 |
| Table Cell 1 | Table Cell 2 | Table Cell 3 | Table Cell 4 | Table Cell 5 |
| Table Cell 1 | Table Cell 2 | Table Cell 3 | Table Cell 4 | Table Cell 5 |
Keyboard input: Cmd
Inline code:
code

Sample output: This is sample output from a computer program.
P R E F O R M A T T E D T E X T ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ?
This text has added emphasis.
The b element is stylistically different text from normal text, without any special importance.
The i element is text that is offset from the normal text.
The u element is text with an unarticulated, though explicitly rendered, non-textual annotation.
This text is deleted and This text is inserted.
This text has a strikethrough.
Superscript®.
Subscript for things like H2O.
This small text is small for for fine print, etc.
Abbreviation: HTML
This text is a short inline quotation.
This is a citation.
The dfn element indicates a definition.
The mark element indicates a highlight.
The variable element, such as x = y.
The time element:


1. defaultStyling: "inside" (default)
2. defaultStyling: "outside" (looks the same, but isn't - see 3)
3. defaultStyling: "outside" (with gap added)


A raven is one of several larger-bodied species of the genus Corvus. These species do not form a single taxonomic group within the genus.
There is no consistent distinction between "crows" and "ravens", and these appellations have been assigned to different species chiefly on the basis of their size, crows generally being smaller than ravens. In Europe, the word "crow" is used to refer to the carrion crow or the hooded crow, while in North America it is used for the American crow, fish crow, or the northwestern crow.
The largest raven species are the common raven and the thick-billed raven.
Read more...| Raven | Crow | |
|---|---|---|
| Feathers | Shiny and wet sheen | Less shiny, may have lighter markings |
| Wings in Sun | Shiny with a blue or purple tint | Purple with green-tinted wings |
| Bill | Bigger, more powerful and curved. There is a tuft of hair atop the bill. | Smaller and flat. There is no tuft of hair atop the bill. |
| Size | Larger; almost the size of Red-tailed Hawks; 24-27 inches long; Weight around 40 oz | Smaller; the size of a pigeon; 17 inches long (approx.); weight around 20 oz |
| Wings | Pointed wings; wingspan 46 to 54 inches | Blunt and splayed; wingspan 32 to 40 inches |
| Life span | 30 years | 8 years |
| Adaptive skills | Drawn to carrion cattle and sheep; less social, more cautious | Like being in human populated areas; more social and audacious |
| Vocalization | Gronk-Gronk, croooaaak; low and hoarse | Caw- Caw; nasal, high pitched call |
| Habitat | Wilder areas | Urban landscape |
| Tail | Wedge-shaped | Fan-shaped |


Eco-friendly earphones now in PH
by Manila Standard BusinessDigital lifestyle innovator Power Mac Center introduced to the Philippines House of Marley’s Liberate Air True Wireless Earphones, an eco-friendly pair carefully crafted from sustainable materials such as bamboo, recycled silicone and fabric.
Liberate Air is welcomed into PMC’s comprehensive list of audio tech offerings through “Sounds Good! Coastal Cleanup,” a 100-percent sustainable event done in partnership with HOM and non-profit organization Communities Organized for Resource Allocation Philippines at the Las Piñas-Parañaque Critical Habitat and Ecotourism Area.
This is in line with a report by UN Environment Programme that the global tech industry produces 50 million tons of electronic and electrical waste with only 20 percent of it formally recycled. Famed for its sustainability efforts, HOM changes the norm in an industry that usually faces a challenge in sourcing materials that are both good for the planet and able to get the job done.
The audio brand proposes better-for-the-planet alternatives that prove that quality audio don’t have to come at the expense of the environment. HOM and PMC urge everyone to finally make the switch and be conscious of the ecological impact of the products they consume.
“We at Power Mac Center are conscious of our ecological footprint, and therefore are taking bigger leaps towards environmental sustainability,” said PMC director of product management, marketing and space planning Joey Alvarez.


| Package | Description |
|---|---|
| org.apache.taverna.activities.dataflow | |
| org.apache.taverna.activities.stringconstant |
Contains the activity classes required in the execution of Beanshell scripts.
|
| org.apache.taverna.workflowmodel.processor.activity |
Provides definitions for a single Activity to be contained within a
Processor.
|
| Modifier and Type | Method and Description |
|---|---|
void |
DataflowActivity.configure(com.fasterxml.jackson.databind.JsonNode json) |
| Modifier and Type | Method and Description |
|---|---|
void |
StringConstantActivity.configure(com.fasterxml.jackson.databind.JsonNode json) |
| Modifier and Type | Method and Description |
|---|---|
void |
DisabledActivity.configure(ActivityAndBeanWrapper conf) |
abstract void |
AbstractAsynchronousActivity.configure(ConfigType conf)
Called immediately after object construction by the deserialisation
framework with a configuration bean built from the auto-generated XML.
|
abstract void |
AbstractActivity.configure(ConfigType conf) |
void |
Activity.configure(ConfigurationType conf) |
void |
UnrecognizedActivity.configure(org.jdom.Element conf) |
Set<ActivityInputPort> |
ActivityFactory.getInputPorts(com.fasterxml.jackson.databind.JsonNode configuration)
Returns the
ActivityInputPort s that the
Activity requires to be present in order to execute with the
specified configuration. |
Set<ActivityOutputPort> |
ActivityFactory.getOutputPorts(com.fasterxml.jackson.databind.JsonNode configuration)
Returns the
ActivityOutputPort s that the
Activity requires to be present in order to execute with the
specified configuration. |
Activity<?> |
SupersededActivity.getReplacementActivity() |
| Constructor and Description |
|---|
DisabledActivity(Class<? extends Activity<?>> activityClass,
Object config)
Create a DisabledActivity that represents an offline activity of the
specified class with the specified configuration.
|
UnrecognizedActivity(org.jdom.Element config) |
Copyright © 2015–2016 The Apache Software Foundation. All rights reserved.


What is pickling?
Pickling is useful for applications where you need some degree of persistency in your data. Your program’s state data can be saved to disk, so you can continue working on it later on. It can also be very useful when you’re working with machine learning algorithms, where you want to save them to be able to make new predictions at a later time, without having to rewrite everything or train the model all over again [1]. Note that pickling does not involve any compression.
Store types of data
You can pypickle
the underneath data types but it is also possible to pickle classes and functions.
Booleans
Integers
Floats
Complex numbers
Strings (normal and Unicode)
Tuples
Lists
Sets
Dictionaries that ontain picklable objects.
Not everything can be pickled (easily), though: examples of this are generators, inner classes, lambda functions and defaultdicts. In the case of lambda functions, you need to use an additional package named dill. With defaultdicts, you need to create them with a module-level function.
Saving
The pypickle module serializes objects so they can be saved to a file, and loaded in a program again later on.
There are many types that can be saved, such as dictionaries, DataFrames, lists, etc. Saving can be performed using pypickle.pypickle.save()
:
import pypickle
filepath = 'test.pkl'
# Some data in a list
data = [1,2,3,4,5]
# Save
status = pypickle.save(filepath, data)
Loading
Loading a pickled file can performed using the function pypickle.pypickle.load()
:
import pypickle
filepath = 'test.pkl'
# Some data in a list
data = [1,2,3,4,5]
# Save
status = pypickle.save(filepath, data)
# Load file
data = pypickle.load(filepath)
[1] https://www.datacamp.com/community/tutorials/pickle-python-tutorial


Module math
standard mathematical functions.
Functions
| abs (x) | Returns the absolute value of `x`. |
| acos (x) | Returns the arc cosine of `x` (in radians). |
| asin (x) | Returns the arc sine of `x` (in radians). |
| atan (x) | Returns the arc tangent of `x` (in radians). |
| atan2 (y, x) | Returns the arc tangent of `y/x` (in radians), but uses the signs of both parameters to find the quadrant of the result. |
| ceil (x) | Returns the smallest integer larger than or equal to `x`. |
| cos (x) | Returns the cosine of `x` (assumed to be in radians). |
| cosh (x) | Returns the hyperbolic cosine of `x`. |
| deg (x) | Returns the angle `x` (given in radians) in degrees. |
| exp (x) | Returns the value *e^x*. |
| floor (x) | Returns the largest integer smaller than or equal to `x`. |
| fmod (x, y) | Returns the remainder of the division of `x` by `y` that rounds the quotient towards zero. |
| frexp (x) | Returns `m` and `e` such that *x = m2^e*, `e` is an integer and the absolute value of `m` is in the range *[0.5, 1)* (or zero when `x` is zero). |
| ldexp (m, e) | Returns *m2^e* (`e` should be an integer). |
| log (x) | Returns the natural logarithm of `x`. |
| log10 (x) | Returns the base-10 logarithm of `x`. |
| max (x, ...) | Returns the maximum value among its arguments. |
| min (x, ...) | Returns the minimum value among its arguments. |
| modf (x) | Returns two numbers, the integral part of `x` and the fractional part of `x`. |
| pow (x, y) | Returns *x^y*. |
| rad (x) | Returns the angle `x` (given in degrees) in radians. |
| random (m, n) | This function is an interface to the simple pseudo-random generator function `rand` provided by ANSI C. |
| randomseed (x) | Sets `x` as the "seed" for the pseudo-random generator: equal seeds produce equal sequences of numbers. |
| sin (x) | Returns the sine of `x` (assumed to be in radians). |
| sinh (x) | Returns the hyperbolic sine of `x`. |
| sqrt (x) | Returns the square root of `x`. |
| tan (x) | Returns the tangent of `x` (assumed to be in radians). |
| tanh (x) | Returns the hyperbolic tangent of `x`. |
Functions
- abs (x)
-
Returns the absolute value of `x`.
Parameters:
- x
- acos (x)
-
Returns the arc cosine of `x` (in radians).
Parameters:
- x
- asin (x)
-
Returns the arc sine of `x` (in radians).
Parameters:
- x
- atan (x)
-
Returns the arc tangent of `x` (in radians).
Parameters:
- x
- atan2 (y, x)
-
Returns the arc tangent of `y/x` (in radians), but uses the signs
of both parameters to find the quadrant of the result. (It also handles
correctly the case of `x` being zero.)
Parameters:
- y
- x
- ceil (x)
-
Returns the smallest integer larger than or equal to `x`.
Parameters:
- x
- cos (x)
-
Returns the cosine of `x` (assumed to be in radians).
Parameters:
- x
- cosh (x)
-
Returns the hyperbolic cosine of `x`.
Parameters:
- x
- deg (x)
-
Returns the angle `x` (given in radians) in degrees.
Parameters:
- x
- exp (x)
-
Returns the value *e^x*.
Parameters:
- x
- floor (x)
-
Returns the largest integer smaller than or equal to `x`.
Parameters:
- x
- fmod (x, y)
-
Returns the remainder of the division of `x` by `y` that rounds the
quotient towards zero.
Parameters:
- x
- y
- frexp (x)
-
Returns `m` and `e` such that *x = m2^e*, `e` is an integer and the
absolute value of `m` is in the range *[0.5, 1)* (or zero when `x` is zero).
Parameters:
- x
- ldexp (m, e)
-
Returns *m2^e* (`e` should be an integer).
Parameters:
- m
- e
- log (x)
-
Returns the natural logarithm of `x`.
Parameters:
- x
- log10 (x)
-
Returns the base-10 logarithm of `x`.
Parameters:
- x
- max (x, ...)
-
Returns the maximum value among its arguments.
Parameters:
- x
- ...
- min (x, ...)
-
Returns the minimum value among its arguments.
Parameters:
- x
- ...
- modf (x)
-
Returns two numbers, the integral part of `x` and the fractional part of
`x`.
Parameters:
- x
- pow (x, y)
-
Returns *x^y*. (You can also use the expression `x^y` to compute this
value.)
Parameters:
- x
- y
- rad (x)
-
Returns the angle `x` (given in degrees) in radians.
Parameters:
- x
- random (m, n)
-
This function is an interface to the simple pseudo-random generator
function `rand` provided by ANSI C. (No guarantees can be given for its
statistical properties.)
When called without arguments, returns a uniform pseudo-random real
number in the range *[0,1)*. When called with an integer number `m`,
`math.random` returns a uniform pseudo-random integer in the range *[1,
m]*. When called with two integer numbers `m` and `n`, `math.random`
returns a uniform pseudo-random integer in the range *[m, n]*.
Parameters:
- m
- n
- randomseed (x)
-
Sets `x` as the "seed" for the pseudo-random generator: equal seeds
produce equal sequences of numbers.
Parameters:
- x
- sin (x)
-
Returns the sine of `x` (assumed to be in radians).
Parameters:
- x
- sinh (x)
-
Returns the hyperbolic sine of `x`.
Parameters:
- x
- sqrt (x)
-
Returns the square root of `x`. (You can also use the expression `x^0.5`
to compute this value.)
Parameters:
- x
- tan (x)
-
Returns the tangent of `x` (assumed to be in radians).
Parameters:
- x
- tanh (x)
-
Returns the hyperbolic tangent of `x`.
Parameters:
- x


Trading_MemberMessageType Class Reference
| Inherits from | NSObject |
| Conforms to | PicoBindable |
| Declared in | Trading_MemberMessageType.h Trading_MemberMessageType.m |
Tasks
-
messageType
The type of message being retrieved. Note that some message
property
types can only be created via the eBay Web site. -
questionType
The context of the question (e.g. Shipping, General).
property -
emailCopyToSender
Specifies whether or not to email a copy of the
property
message to the sender. If omitted, this defaults to whatever
the user set in preferences. -
hideSendersEmailAddress
Specifies whether or not to hide sender’s email address
property
from the recipient. If omitted, this defaults to whatever
the user set in preferences–or on site policy, which
determines whether or not this field is recognized.
Note:
This tag is no longer operational.
-
displayToPublic
If True, the member message is viewable in the item listing.
property -
senderID
The eBay user ID of the person who asked the question or sent
property
the message. -
senderEmail
SenderEmail contains the static email address of an eBay member,
property
used within the “reply to"
email address when the eBay member sends a message.
(Each eBay member is assigned a static alias. The alias is
used within a static email address.)
SenderEmail is returned if MessageType is AskSellerQuestion.
SenderEmail is also returned in the AskSellerQuestion notification.
The following functionality of this field has been deprecated:
return of a dynamic email address. -
recipientID
Recipient’s eBay user ID. For
property
AddMemberMessagesAAQToBidder, it must be the seller of an
item, that item’s bidder, or a user who has made an
offer on that item using Best Offer. Note: maxOccurs is a shared schema
element and needs to be unbounded for AddMemberMessagesAAQToBidder.
For AddMemberMessageRTQ, this field is mandatory if ItemID is not in the request.
For all other uses, there can only be one RecipientID. -
subject
Subject of this email message.
property -
body
The content of the message is input into this string field. HTML formatting is not
property
allowed in the body of the message. If plain HTML is used, an error occurs and the
message will not go through. If encoded HTML is used, the message may go through but
the formatting will not be successful, and the recipient of the message will just
see the HTML formatting tags. -
messageID
An ID that uniquely identifies a message for a given
property
user.
This value is not the same as the value used for the
GetMyMessages MessageID. However, this MessageID value can be
used as the GetMyMessages ExternalID. -
parentMessageID
ID number of the question this message is responding to.
property -
any
(public property)
property
Properties
any
(public property)
@property (nonatomic, retain) NSMutableArray *any
Discussion
(public property)
entry type : PicoAnyElement, wrapper for primitive anyelement
Declared In
Trading_MemberMessageType.h
body
The content of the message is input into this string field. HTML formatting is not
allowed in the body of the message. If plain HTML is used, an error occurs and the
message will not go through. If encoded HTML is used, the message may go through but
the formatting will not be successful, and the recipient of the message will just
see the HTML formatting tags.
@property (nonatomic, retain) NSString *body
Discussion
The content of the message is input into this string field. HTML formatting is not
allowed in the body of the message. If plain HTML is used, an error occurs and the
message will not go through. If encoded HTML is used, the message may go through but
the formatting will not be successful, and the recipient of the message will just
see the HTML formatting tags.
type : NSString, wrapper for primitive string
Declared In
Trading_MemberMessageType.h
displayToPublic
If True, the member message is viewable in the item listing.
@property (nonatomic, retain) NSNumber *displayToPublic
Discussion
If True, the member message is viewable in the item listing.
type : NSNumber, wrapper for primitive bool
Declared In
Trading_MemberMessageType.h
emailCopyToSender
Specifies whether or not to email a copy of the
message to the sender. If omitted, this defaults to whatever
the user set in preferences.
@property (nonatomic, retain) NSNumber *emailCopyToSender
Discussion
Specifies whether or not to email a copy of the
message to the sender. If omitted, this defaults to whatever
the user set in preferences.
type : NSNumber, wrapper for primitive bool
Declared In
Trading_MemberMessageType.h
hideSendersEmailAddress
Specifies whether or not to hide sender’s email address
from the recipient. If omitted, this defaults to whatever
the user set in preferences–or on site policy, which
determines whether or not this field is recognized.
Note:
This tag is no longer operational.
@property (nonatomic, retain) NSNumber *hideSendersEmailAddress
Discussion
Specifies whether or not to hide sender’s email address
from the recipient. If omitted, this defaults to whatever
the user set in preferences–or on site policy, which
determines whether or not this field is recognized.
Note:
This tag is no longer operational.
type : NSNumber, wrapper for primitive bool
Declared In
Trading_MemberMessageType.h
messageID
An ID that uniquely identifies a message for a given
user.
This value is not the same as the value used for the
GetMyMessages MessageID. However, this MessageID value can be
used as the GetMyMessages ExternalID.
@property (nonatomic, retain) NSString *messageID
Discussion
An ID that uniquely identifies a message for a given
user.
This value is not the same as the value used for the
GetMyMessages MessageID. However, this MessageID value can be
used as the GetMyMessages ExternalID.
type : NSString, wrapper for primitive string
Declared In
Trading_MemberMessageType.h
messageType
The type of message being retrieved. Note that some message
types can only be created via the eBay Web site.
@property (nonatomic, retain) NSString *messageType
Discussion
The type of message being retrieved. Note that some message
types can only be created via the eBay Web site.
type: string constant in Trading_MessageTypeCodeType.h
Declared In
Trading_MemberMessageType.h
parentMessageID
ID number of the question this message is responding to.
@property (nonatomic, retain) NSString *parentMessageID
Discussion
ID number of the question this message is responding to.
type : NSString, wrapper for primitive string
Declared In
Trading_MemberMessageType.h
questionType
The context of the question (e.g. Shipping, General).
@property (nonatomic, retain) NSString *questionType
Discussion
The context of the question (e.g. Shipping, General).
type: string constant in Trading_QuestionTypeCodeType.h
Declared In
Trading_MemberMessageType.h
recipientID
Recipient’s eBay user ID. For
AddMemberMessagesAAQToBidder, it must be the seller of an
item, that item’s bidder, or a user who has made an
offer on that item using Best Offer. Note: maxOccurs is a shared schema
element and needs to be unbounded for AddMemberMessagesAAQToBidder.
For AddMemberMessageRTQ, this field is mandatory if ItemID is not in the request.
For all other uses, there can only be one RecipientID.
@property (nonatomic, retain) NSMutableArray *recipientID
Discussion
Recipient’s eBay user ID. For
AddMemberMessagesAAQToBidder, it must be the seller of an
item, that item’s bidder, or a user who has made an
offer on that item using Best Offer. Note: maxOccurs is a shared schema
element and needs to be unbounded for AddMemberMessagesAAQToBidder.
For AddMemberMessageRTQ, this field is mandatory if ItemID is not in the request.
For all other uses, there can only be one RecipientID.
entry type : NSString, wrapper for primitive string
Declared In
Trading_MemberMessageType.h
senderEmail
SenderEmail contains the static email address of an eBay member,
used within the “reply to"
email address when the eBay member sends a message.
(Each eBay member is assigned a static alias. The alias is
used within a static email address.)
SenderEmail is returned if MessageType is AskSellerQuestion.
SenderEmail is also returned in the AskSellerQuestion notification.
The following functionality of this field has been deprecated:
return of a dynamic email address.
@property (nonatomic, retain) NSString *senderEmail
Discussion
SenderEmail contains the static email address of an eBay member,
used within the “reply to"
email address when the eBay member sends a message.
(Each eBay member is assigned a static alias. The alias is
used within a static email address.)
SenderEmail is returned if MessageType is AskSellerQuestion.
SenderEmail is also returned in the AskSellerQuestion notification.
The following functionality of this field has been deprecated:
return of a dynamic email address.
type : NSString, wrapper for primitive string
Declared In
Trading_MemberMessageType.h
senderID
The eBay user ID of the person who asked the question or sent
the message.
@property (nonatomic, retain) NSString *senderID
Discussion
The eBay user ID of the person who asked the question or sent
the message.
type : NSString, wrapper for primitive string
Declared In
Trading_MemberMessageType.h


In order to facilitate integrations with with whatever systems make time tracking easiest for you, TimeTracker offers the following API endpoints:
GET /api/subjects
— Return a JSON object containing all information known
about the subjects that can be logged.
{
"subjects": [
{
"name": string, // Full course name
"shortname": string, // Abbreviated course name
"color": string, // One of green, blue, red, or purple
"icon": string // Name of the icon file for the button
}
]
}
POST /api/start-timer
— Start the work timer. Return a JSON object
indicating status:
{
"status": boolean, // Did the request succeed?
"message": string // Displayable message about success
}
POST /api/stop-timer
— Stop the work timer. Return a JSON object indicating
status:
{
"status": boolean, // Did the request succeed?
"message": string // Displayable message about success
}
POST /api/log-subject
— Log a specific amount of time spent working on a
subject. Takes two form-encoded arguments: subject
and minutes-worked
.
subject
is the full name of the subject to log time for; minutes-worked
is
how many minutes to log for that subject. Returns a JSON object indicating
status:
{
"status": boolean, // Did the request succeed?
"message": string // Displayable message about success
}


The main problem I am trying to solve with my index site is to make the site as easy to navigate as possible. Since it is basically an archive, I want the user to be able to quickly and efficiently navigate and access the different links in order to view the content of their choosing.
In order to solve this problem, I plan on having a simple outline and flow. At the top of the page I would like to have a navigation area, which links to each unit section on the page. Within those unit sections, I would like to have columns for each week of the unit. Within those columns, links to each project/link necessary. The flow of the website is going to be mostly verticle. After the navigation area, the units will be sectioned vertically. As you view a section, the weeks will flow from left to right within columns.


--- layout: base title: Home ---
|
Welcome to the UIUC SSA website! Are you an incoming freshman? If you are, welcome and congratulations on being admitted to UIUC. Here, you'll find resources, event details, exco details, and much more! We look forward to seeing you around ;-) |
| ?? ??? ???? | {{ event.name }} (TBA) |
| {{ event.date | date: '%d %b %Y' | upcase }} | {{ event.name }} |


Technical Blog!
Favorite Websites
1stDibs
- Why is this one of your favorite sites?
Beautiful designer furniture, rare antiques, vintage couture, and in-depth interviews with artists, architects, interior designers and art dealers.
- What area of the site is your eye drawn to when looking at the homepage? Stand back further, what area is your eye drawn to now? Is that area the most important area of the site?
The featured products stand out immediately. The slow cycling slideshow temps users to start shopping.
- How would you describe the website visually?
Colorful, clean, engaging, full, sorted.
- What problem does this website solve? What content does it have?
The site needs to inspire desire, and promote an air of exclusivity. Like any high-end brick and mortar store, it needs to make customers comfortable with high prices.
- What 5 adjectives would you use to describe the content, focus, and purpose of the site? How does that compare to the adjectives you used to describe the site visually?
Appealing, desirable, exclusive, rare, artistic. Since the site is also operating as a sort of magazine, the botique allure of the photos is often diminished by the sheer amount of visual information on the page. That being said, everything is well organized and presented, so the page's fullness isn't too distracting.
- How easy is it to find what you are looking for from the homepage? How about from another page?
Navigation is intuitive, but sometimes the site can be a bit slow.
- How easy is it to browse through all the content of the site?
The content is easily browsed, but the search function is often slow and sometimes even broken.
- How do you feel after being on the site for a while?
Poor. Just really really poor.
- Does the site sell anything? If so, have you purchased any of it? Why or why not?
I've never bought anything on 1stDibs, but I have sold quite a few items through my galleries.
One Kings Lane
- Why is this one of your favorite sites?
Items are sorted into themed sales. The products offered are curated, nicely photographed, and presented clearly and cleanly.
- What area of the site is your eye drawn to when looking at the homepage? Stand back further, what area is your eye drawn to now? Is that area the most important area of the site?
Well designed vignettes draw the eye to the products which are displayed as they would appear in a well accesoorized room.
- How would you describe the website visually?
Sophisticated, editied, classic, traditional, organized
- What problem does this website solve? What content does it have?
The site makes impulse buying easy. The curated sales ensure that similar items are grouped together, and the discounted price is always prominently displayed.
- What 5 adjectives would you use to describe the content, focus, and purpose of the site? How does that compare to the adjectives you used to describe the site visually?
Value, tasteful, style, decorative, on-trend
- How easy is it to find what you are looking for from the homepage? How about from another page?
Navigation is easy and intuitive. The search function is effective and accurate.
- How easy is it to browse through all the content of the site?
Very easy.
- How do you feel after being on the site for a while?
The site is organized in such a way so that it feels like there is always more to explore. Grouping products in curated sales is visually appealing and fun to browse.
- Does the site sell anything? If so, have you purchased any of it? Why or why not?
I've made one purchase in the past. I had to return one of the items, and the process was suprisingly painless.
Apartment Therapy
- Why is this one of your favorite sites?
Apartment Therapy is full of inspiring photos, DIY projects and tips for making your living space fabulous.
- What area of the site is your eye drawn to when looking at the homepage? Stand back further, what area is your eye drawn to now? Is that area the most important area of the site?
The featured article is the most prominent feature.
- How would you describe the website visually?
Uncluttered, hip, friendly
- What problem does this website solve? What content does it have?
The point as I see it is inspiration. Before and after photos of remodels, step by step instructions for refinishing thrift store finds, it's a great resource for projects, not products.
- What 5 adjectives would you use to describe the content, focus, and purpose of the site? How does that compare to the adjectives you used to describe the site visually?
Helpful, community-oriented, DIY, value, instructive. Similar to One Kings Lane, except the main purpose is informative rather than commercial. The links to featured articles are set at the top, with a "blog roll" of articles following further down the page.
- How easy is it to find what you are looking for from the homepage? How about from another page?
A breeze.
- How easy is it to browse through all the content of the site?
Some of the older articles have a longer load time.
- How do you feel after being on the site for a while?
Inspired!
- Does the site sell anything? If so, have you purchased any of it? Why or why not?
The site as it is does not offer products directly, but I did buy the book!


The skicall object passed to your functions has several attributes, most provide you with information - some you can alter:
skicall.accesstextblocks is the project instance of the AccessTextBlocks class, most users will not need this, but it may be required for certain applications.
skicall.call_data is a dictionary which could contain data you set into it or could contain submitted form data (depending on the Responder handling the call).
skicall.caller_ident is the ident of the page making the call, a tuple ('projname', pagenumber), generally sent with any submitted data, this value could be an empty tuple if the page ident is not known - which will happen if the calling page is external or if no data is submitted.
skicall.environ is the wsgi environ dictionary.
skicall.ident_data is a string which was previously saved onto the page by setting a PageData attribute PageData().ident_data, and has now been sent back together with any submitted data. skicall.ident_data will be None if not present.
This facility can be used to pass data between calls. You need to validate this received string as it can be altered by a malicious caller.
skicall.ident_list is initially an empty list but will have the ident ('projname', pagenumber) of each responder handling the call appended to it. Typically a call will be handled by a single responder, but it is possible for one responder to pass the call on to another, and so several may be involved in a call.
skicall.lang is a read-only tuple of two strings containing the preferred language required by the client in the format (language, default_language).
This attribute is used when requesting TextBlocks.
skicall.language is a string such as 'en' being the preferred language required by the client, initially taken from the client browser's language setting, or from a received language cookie. If changed it will cause a language cookie to be set. It may be that the client browser preferred language is not available, hence this is independent of the Pagedata().lang attribute - which, if used, sets the page html tag 'lang' attribute.
skicall.path is the URL path to the page called.
skicall.proj_data is a project attribute, a dictionary set when creating the skipole.WSGIApplication object. It could be used for your own purpose - for example to input a database password when the program is started.
skicall.project is the project name.
skicall.proj_ident is the value set with the proj_ident argument of the WSGIApplication class.
skicall.projectfiles is the string path to the 'projectfiles' directory of data and static files. Each project's specific directory can be found beneath it - that is, in the '..projectfiles/myproject/' directory.
skicall.received_cookies is a dictionary of cookie name:values received from the client. Note, that if skicall.language is set, a cookie value received will appear in this dictionary with key 'language'.
skicall.rootproject will be True if this is the root project, False if it is a sub project.
skicall.submit_list is a list set by a responder.
skicall.submit_dict is a dictionary set by a responder.
skicall.update(itemdata) updates skicall from a PageData or SectionData object.
skicall.get_pagedata() Returns a PageData object of the current data in skicall, note this is a copy, if changed it will not change the data in skicall, unless skicall.update is called with the new PageData object.
skicall.clear_pagedata() clears any data.
skicall.label_value(label, proj_ident=None) is a method which given a label, returns the associated ident or URL.
If proj_ident is not given assumes the current project, if given, proj_ident must exist as either the root, or a sub project of the root. If no label is found, returns None.
skicall.textblock(textref, proj_ident=None) is a method which given a reference string returns the text of the associated TextBlock.
If proj_ident is None, it assumes the TextBlock is defined in the current project, if proj_ident is given it must be the root or a sub project. If no TextBlock is found, it returns None.
skicall.projectpaths() returns a dictionary of project idents as keys with the project url paths as values.
skicall.makepath(*foldernames) returns a url path string starting with this project's url, with the given foldernames joined. If no foldernames are given, then just the project url is returned.
skicall.ident_from_path(path, proj_ident=None) is a method, given a path string, and proj_ident, returns a tuple of (proj_ident, ident number) or None if the folder or page is not found. If proj_ident is not given, then the current project is assumed.
skicall.map_url_to_server(urlfolder, serverfolder) maps a url folder to a server folder.
Generally called in the start_call function.  If not then None is returned. If a ServeFile exception is raised with such a pathlib.Path, then the framework will serve the file.
An example of usage is:
def start_call(called_ident, skicall): servedfile = skicall.map_url_to_server("special/css", "/home/user/thisproject/css") if servedfile: raise ServeFile(servedfile) return called_ident
Note: If the given urlfolder starts with a "/", it is an absolute url, if it does not, as in the above example, then it will be relative, with the project url prepended. Using relative paths makes the code more portable, particularly if this project is to become a sub-project added to a root which may change its project url.


Responsive has two basic modes of operation for controlling the visibility of columns at different display sizes. These two modes can be using either separately
or together:
- Manually assigned class names for breakpoints - Assign a column a class name to tell Responsive which breakpoint(s) to show it in.
- Automatically - for columns without a breakpoint class name, it will be automatically removed if there is no room available on screen to show it. Columns
are removed from the right, moving left.
This section explores these two options.


Select a location to pickup your package:
Location - Address,...
Location - Address,...
Location - Address,...
Location - Address,...
Location - Address,...
Location - Address,...
Location - Address,...
Use This Location
Cancel


Select your background & selfie
then position your selfie by dragging it.
The better the quality of your selfie the more accurate the model will work
The Model used is BodyPix by Google go check it out
Peter Nabil Zaghloul & Ahmed Abdel Aziz
Software Engineering Students at Ain Shams University


The repository is available for a number of different architectures. Each of which is available as a discreet "repository source". The repository source has a number of mirrors, one of which is nominated as the primary mirror and that is where the repository data will be obtained to refresh the records in HaikuDepotServer.
Alongside the actual repository data, there is also a repo.info
file with an identifier
field. This is a unique identifier for
that actual repository source. This identifier
marries-up the
HDS data with the repository configured in the client HaikuDepot desktop
application.


Quick Links:
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Author: R.J. Vrijhof<EMAIL_ADDRESS>License: MIT
Usage
This module shows a table with all the features Modernizr provides where each cell indicates if the current browser supports the feature or not.
If documentation about the feature could be distilled from the Modernizr Documentation, it will be shown when hovering the mouse cursor over (or tapping on touchscreens) the table row of the feature. This doesn't work 100% flawlessly, but most of the time I think it's quite handy despite this.
- Currently uses Modernizr v3.6.0.
- Uses Bitters.
- Uses Bourbon.
- Uses DataTables for formatting the features in a handy table with search capability and pagination.
- Uses jQuery.
- Uses the jQuery Loader plugin.
- Uses the jQuery miniTip plugin.
- Uses the jQuery Touchable plugin.
- Uses Neat.
- Uses normalize-scss.
- Uses Sass (yes, it's really written as Sass, not SASS).
Set up to work on Apache. Could easily work in other web servers as well, however, some folders/files will be accessible from the web browser, because they have been protected with .htaccess files that only work in Apache. There should be no harm done, as there's not really sensitive information in those folders/files.
You'll need PHP as well.
Development
If you're further developing this module, you'll need:
- Composer, to get phpDocumentor (or get phpDocumentor by hand instead).
- gulp, for automating building, compiling, etc.
- JSDoc, to make the development documentation's welcome page and for documenting JavaScript.
- phpDocumentor, for documenting PHP (there's a simple PHP script that's used as a proxy to retrieve the Modernizr Documentation).
- Yarn, to get Modernizr, JSDoc, gulp and the dependencies 'gulpfile.js' needs (NPM could work too, but you'll have to change 'gulpfile.js' so it watches 'package-lock.json' instead of 'yarn.lock' in the 'watch-yarn.lock' task, unless you don't care about gulp and want to do stuff by hand).
- Run yarn. It will fetch all modules and dependencies present in 'package.json'.
- Start gulp and keep it running. It watches several files for changes and automatically builds and compiles stuff, and such.


Miami University Libraries
Check Out and Check In
CHECK OUT -- Miami University Students, Faculty, Staff need a valid
barcoded Miami ID. Barcodes can be obtained from the King Library
or Brill Science Library Circulation Desk. Others check with
Circulation for Information.
LOAN PERIODS
UNDERGRADUATES 3 Weeks
GRADUATE STUDENTS 1 Semester
FACULTY 1 Year
OTHERS 3 Weeks
IMC IMC materials, except tests, circulate for 3 weeks
to all patrons. Tests circulate for 3 days.
CHECK IN -- Return items to the book drops at the library from
which they were borrowed.
Back to Library Information
Back to Main Menu


‘Tall Girl’ Star Ava Michelle Is Waiting For Romeo With Candy Red Lips
November 16, 2019
‘Tall Girl’ Star Ava Michelle Is Waiting For Romeo With Candy Red Lips
Tall Girl star Ava Michelle commanded the attention of her 1.5 million followers as she dressed up like a princess waiting for her Romeo in her latest Instagram snap.
Ava looked absolutely stunning as she rocked a beige semi-sheer top with dalmatian style spots and mid-length sleeves. The semi-translucent top appeared to have a snug grey tank top with a u-neckline underneath.
Ava rocked a light layer of black eyeliner. She also sported luscious candy red lips for the camera. Her long brunette and blonde highlighted tresses flowed down her tiny frame in large, controlled waves.

Technically, the Instagram post continued two photos of Ava rocking the gorgeous ensemble. The first featured Ava tilting her head to the side as she used her hand to push some of her long locks behind her ear. There was also a mysterious male hand that appeared to be fiddling with her hair in the frame of the snapshot.
 Again, the mysterious male hand was visible holding on to her hair as the picture was snapped.
In the caption of her Instagram post, Ava revealed the identity of the mysterious male hand. She tagged Clayton Hawkins. According to his own Instagram page, Hawkins is a hair stylist working with clients in L.A. and N.Y.
In just 24 hours, her breathtaking photo accumulated just shy of 300,000 likes and nearly 800 comments.
One follower, who is presumably the photographer of the snaps based on the witty banter between them and Ava in the comments, noted that the snaps were their favorite photos of the young actress. Ava jokingly responded to the comment by noting that she had a “pretty great photographer.”
Several of Ava’s followers noted that she looked like a queen in the beautiful snaps.
“Ok but why do you look so good,” one follower questioned in the comments.
Loading...

At a loss for words, many of her followers kept things simple with nothing more than heart and flame emoticons in the comments. Her comments also contained the usual smattering of those declaring their love for her.


Hi GTP Team,
This is an automated message to say your component GTP-UI has been down for
30minutes. Server Logs have been attached to this email message. Would you like to take
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TB-HIV integration HIV study patients South clinics health care clinic PHC Health []. data intervention quality Africa improvement services treatment {border-style therapy African Department co-infected px;} #ffffff;} integrated ART mortality implementation control patient service clinical management outcomes use National change delivery guidelines healthcare tuberculosis Available HIV, learning outcome registers review using Quality improve new primary research staff Data HIV-infected IPT [], antiretroviral clinic-based level model preventive randomized test .collab: PDSA TB, Table case including indicators months px; supervisor teams {font-family (%) DHIS Study TIER.Net, Tuberculosis burden clinics. cluster co-infection district font-size ideas improved interventions load performance provide rate rural standard strategy supervisors support systematic team testing time trial AIDS CPT District DoH Healthcare Survey addition, challenges changes community double; facilities framework from: high impact initiation living million population proportion smear-positive successful systems viral (e.g., Accessed Africa. Cetshwayo HCW HIV. Institute King KwaZulu-Natal KwaZulu-Natal, Proportion Research TIER.Net Ugu analyzed approach available baseline border-color border-width cases collaborative controlled districts electronic eligible enrolled evidence extent group immunodeficiency include isoniazid lower organizational period programme programmes role scaling secondary solid; specific strategies supported virus workers {font-style {font-weight Africa, Clinic Council Engl HCT HCWs Learning Med./NEJMoa PMTCT Public Report SUTHI Uyei Work-related accessing adults analysis areas arm bold care, collected collection compared counseling countries courier; deaths design designed developed early effectiveness em; factors files findings guidelines, implement implementing improvements infection information interviews key lead measure measures methods month number obtained patients, patients.▪ people process protocol pt;} rapid selected services, services. session settings shown single studies summaries survival tool transmission uptake used work


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Id: 15
Name: Alien Rick
Status: unknown
Species: Alien
Type:
Gender: Male
OriginName: unknown
OriginUrl:
LocationName: Citadel of Ricks
LocationUrl: https://rickandmortyapi.com/api/location/3
Image: https://rickandmortyapi.com/api/character/avatar/15.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/10']
Url: https://rickandmortyapi.com/api/character/15
Created: 2017-11-04T20:56:13.215Z


POM-aSPU test evaluates an association between an ordinal response and multiple phenotypes, for details see Kim and Pan (2017) <doi:10.1002/gepi.22033>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10), MASS, matrixStats, stats |
| Imports: | Rcpp (≥ 0.12.6) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2017-06-20 |
| Author: | Junghi Kim and Wei Pan |
| Maintainer: | Junghi Kim <junghikim0 at gmail.com> |
| License: | GNU General Public License (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | POMaSPU results |
| Reference manual: | POMaSPU.pdf |
| Package source: | POMaSPU_1.0.0.tar.gz |
| Windows binaries: | r-devel: POMaSPU_1.0.0.zip, r-release: POMaSPU_1.0.0.zip, r-oldrel: POMaSPU_1.0.0.zip |
| OS X binaries: | r-release: POMaSPU_1.0.0.tgz, r-oldrel: POMaSPU_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=POMaSPU to link to this page.


 You start with {{Revenue|c}}. Make your choice accordingly.
{% include Constants.instructions_template %}You are the environmental regulation agency.You start with {{Budget|c}}. Make your choice accordingly.
{% include Constants.instructions_template %}


{# Keeper tab, created programmatically depending on how many keepers the user has #}
{{ keeper.name }}
{{ keeper.xp }}
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{{ keeper.money }}
This myth never ends. Soon there will be an unveiling of nature the likes of which the quantum soup has never seen. It is time to take life to the next level.
Through the akashic record, our hearts are enveloped in wellbeing. You will soon be aligned by a power deep within yourself


1. Analyze and create visualizations on an Olympic dataset from 1896 to 2016 to uncover which countries stay at the top overtime, by season, and by sport; what it takes for an Olympian to be at the top for each sport, sport popularity, and the relationship between Olympic Medal counts and country’s GDP.
2. Additionally from the Olympic dataset, machine learning was incorporated to predict the amount of medals 25 countries would obtain in the 2020 Tokyo Olympics with Linear Regression, Logistic Regression, and Auto Regressive Integrated Moving Average(ARIMA) model.


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| |
Introduce the function of your company. |
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function 1 ( a short description ) |
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function 2 ( a short description ) |
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function 3 ( a short description ) |
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function 4 ( a short description ) |
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function 5 ( a short description ) |
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| |
Provide the description of history and main business of your company. |
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company history ( background, founder and so on ) |
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main business 1 ( a short description ) |
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main business 2 ( a short description ) |
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@Documented @Target(value={TYPE,METHOD}) @Retention(value=RUNTIME) @Inherited @PropertyStoreApply(value=RdfConfigApply.class) public @interface RdfConfig
XmlSerializer
, XmlDocSerializer
, and XmlParser
.
Used primarily for specifying bean configuration properties on REST classes and methods.
| Modifier and Type | Optional Element and Description |
|---|---|
String |
addBeanTypes
Configuration property: Add
|
String |
addLiteralTypes
Configuration property: Add XSI data types to non-
|
String |
addRootProperty
Configuration property: Add RDF root identifier property to root node.
|
String |
arp_embedding
Configuration property: RDF/XML ARP property:
|
String |
arp_errorMode
Configuration property: RDF/XML ARP property:
|
String |
arp_iriRules
Configuration property: RDF/XML property:
|
String |
autoDetectNamespaces
Configuration property: Auto-detect namespace usage.
|
String |
collectionFormat
Configuration property: RDF format for representing collections and arrays.
|
String |
juneauBpNs
Configuration property: Default XML namespace for bean properties.
|
String |
juneauNs
Configuration property: XML namespace for Juneau properties.
|
String |
language
Configuration property: RDF language.
|
String |
looseCollections
Configuration property: Collections should be serialized and parsed as loose collections.
|
String |
n3_abbrevBaseUri
Configuration property: N3/Turtle property:
|
String |
n3_indentProperty
Configuration property: N3/Turtle property:
|
String |
n3_minGap
Configuration property: N3/Turtle property:
|
String |
n3_objectLists
Configuration property: N3/Turtle property:
|
String |
n3_propertyColumn
Configuration property: N3/Turtle property:
|
String |
n3_subjectColumn
Configuration property: N3/Turtle property:
|
String |
n3_useDoubles
Configuration property: N3/Turtle property:
|
String |
n3_usePropertySymbols
Configuration property: N3/Turtle property:
|
String |
n3_useTripleQuotedStrings
Configuration property: N3/Turtle property:
|
String |
n3_widePropertyLen
Configuration property: N3/Turtle property:
|
String[] |
namespaces
Configuration property: Default namespaces.
|
String |
rdfxml_allowBadUris
Configuration property: RDF/XML property:
|
String |
rdfxml_attributeQuoteChar
Configuration property: RDF/XML property:
|
String |
rdfxml_blockRules
Configuration property: RDF/XML property:
|
String |
rdfxml_longId
Configuration property: RDF/XML property:
|
String |
rdfxml_relativeUris
Configuration property: RDF/XML property:
|
String |
rdfxml_showDoctypeDeclaration
Configuration property: RDF/XML property:
|
String |
rdfxml_showXmlDeclaration
Configuration property: RDF/XML property:
|
String |
rdfxml_tab
Configuration property: RDF/XML property:
|
String |
rdfxml_xmlBase
Configuration property: RDF/XML property:
|
String |
trimWhitespace
Configuration property: Trim whitespace from text elements.
|
String |
useXmlNamespaces
Configuration property: Reuse XML namespaces when RDF namespaces not specified.
|
public abstract String language
The RDF language to use.
public abstract String juneauNs
public abstract String juneauBpNs
public abstract String arp_iriRules
Set the engine for checking and resolving.
public abstract String arp_errorMode
This allows a coarse-grained approach to control of error handling.
public abstract String arp_embedding
Sets ARP to look for RDF embedded within an enclosing XML document.
public abstract String rdfxml_xmlBase
The value to be included for an
public abstract String rdfxml_longId
Whether to use long ID's for anon resources.
Short ID's are easier to read, but can run out of memory on very large models.
public abstract String rdfxml_allowBadUris
URIs in the graph are, by default, checked prior to serialization.
public abstract String rdfxml_relativeUris
What sort of relative URIs should be used.
A comma separate list of options:
The default value is
public abstract String rdfxml_showXmlDeclaration
public abstract String rdfxml_showDoctypeDeclaration
If true, an XML doctype declaration is included in the output.
This declaration includes a
public abstract String rdfxml_tab
The number of spaces with which to indent XML child elements.
public abstract String rdfxml_attributeQuoteChar
The XML attribute quote character.
public abstract String rdfxml_blockRules
A list of
public abstract String n3_minGap
Minimum gap between items on a line.
public abstract String n3_objectLists
Print object lists as comma separated lists.
public abstract String n3_subjectColumn
If the subject is shorter than this value, the first property may go on the same line.
public abstract String n3_propertyColumn
Width of the property column.
public abstract String n3_indentProperty
Width to indent properties.
public abstract String n3_widePropertyLen
Width of the property column.
Must be longer than
public abstract String n3_abbrevBaseUri
Control whether to use abbreviations
public abstract String n3_usePropertySymbols
Control whether to use
public abstract String n3_useTripleQuotedStrings
Allow the use of
public abstract String n3_useDoubles
Allow the use doubles as
public abstract String collectionFormat
public abstract String looseCollections
When specified, collections of resources are handled as loose collections of resources in RDF instead of resources that are children of an RDF collection (e.g. Sequence, Bag).
Note that this setting is specialized for RDF syntax, and is incompatible with the concept of losslessly representing POJO models, since the tree structure of these POJO models are lost when serialized as loose collections.
This setting is typically only useful if the beans being parsed into do not have a bean property
annotated with @Rdf(beanUri=true)
.
public abstract String trimWhitespace
If
public abstract String addBeanTypes
When present, this value overrides the Serializer.SERIALIZER_addBeanTypes
setting and is
provided to customize the behavior of specific serializers in a SerializerGroup
.
public abstract String addLiteralTypes
public abstract String addRootProperty
When enabled an RDF property
This helps locate the root node during parsing.
If disabled, the parser has to search through the model to find any resources without incoming predicates to identify root notes, which can introduce a considerable performance degradation.
public abstract String autoDetectNamespaces
Detect namespace usage before serialization.
If enabled, then the data structure will first be crawled looking for namespaces that will be encountered before the root element is serialized.
public abstract String[] namespaces
The default list of namespaces associated with this serializer.
public abstract String useXmlNamespaces
When specified, namespaces defined using @XmlNs
and @Xml
will be inherited by the RDF serializers.
Otherwise, namespaces will be defined using @RdfNs
and @Rdf
.
Copyright © 2016–2019 The Apache Software Foundation. All rights reserved.


In order to launch Pharo images, Pharo Launcher needs some information. The most important one is: Which VM to use? Pharo Launcher can solve this problem for you by using the recommanded VM for the Pharo version of the image to launch.
Example: For a Pharo 8.0, 64-bit image, Pharo Launcher will use the stable 64-bit virtual machine of Pharo 8.
With this insformation, Pharo Launcher generates a Default launch configuration that will be used to launch the image.
You could want to customize this Default configuration or create additional ones, by example, to use another VM (e.g. headless VM), or to give extra arguments to the virtual machine and / or to the image. That's why, if you select the Edit configurations ... entry in the Launch configuration drop list (in the toolbar), Pharo Launcher will open a new window with the Launch configuration editor.
From this editor, you can: add/remove Launch configuration for the selected Pharo image, choose another VM than the one Pharo Launcher selected for you, add/remove arguments to the Virtual Machine, add/remove arguments to the image.
Clicking an Save & select will close the editor and select the edited Launch configuration in the Pharo Launcher toolbar, the ready to be launched.


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IBM Watson Machine Learning Community Edition (WML-CE) and Open Cognitive Environment (Open-CE)¶
Watson Machine Learning Community Edition is an IBM Cognitive Systems offering that is designed for the rapidly growing and quickly evolving AI category of deep learning. WML-CE and Open-CE brings a suite of capabilities from the open source community and combines them into a single enterprise distribution of software that incorporates complete lifecycle management from installation and configuration; data ingest and preparation; building, optimizing, and training the model; to inference; testing; and moving the model into production. WML-CE and Open-CE takes advantage of a distributed architecture to help enable your teams to quickly iterate through the training cycle on more data to help continuously improve the model over time.
WML-CE and Open-CE are designed for scale, with software optimised for both single server and cluster deep learning training. It offers many optimizations that can ease installation and management, and can help accelerate performance:
- Ready-to-use deep learning frameworks (TensorFlow, PyTorch, Caffe, Caffe2, ONNX, and Keras).
- Powerful and scalable machine learning libraries (Snap ML and NVIDIA RAPIDS).
- Distributed as prebuilt containers, or on demand through the Conda provisioning process.
- Includes dependencies and libraries.
- Easy updates: Code updates arrive from a repository.
- Validated deep learning platform with each release.
- Dedicated support teams for deep learning.
- Designed for enterprise scale with multisystem cluster performance and large memory support.
- Supported on GPU accelerated IBM AC922 servers; and also supported on accelerated x86 architecture servers.
[1] Install Anaconda¶
All users on Satori will have two folders:
/home/<username>
/nobackup/users/<username>
please download and install Anaconda3 in the: /nobackup/users/<your-username>/anaconda3 This is because /nobackup disk partition has way much more space compared with /home. In addition all files in /home will be automaticlay backuped compared with /nobackup partition. Anaconda3 can be install at any time in less then 10 minutes, therefore no backup is need.
To install WMLCE you need to install on your login account Anaconda for
POWER9/ ppc64le
architecture.
download of the Anaconda can be done using wget
:
cd /nobackup/users/$(whoami)
wget https://repo.anaconda.com/archive/Anaconda3-2019.10-Linux-ppc64le.sh
sh Anaconda3-2019.10-Linux-ppc64le.sh -f -p /nobackup/users/$(whoami)/anaconda3
source ~/.bashrc
By default Anaconda will be insalled in your home folder under
anaconda3
and all the WMLCE pachages will be install in a
sub-directory on chosen virtual name/folder (ie.
anaconda3/envs/wmlce-1.7.0)
[2] WML-CE and Open-CE: Setting up the software repository¶
The WML-CE and Open-CE MLDL packages are distributed as conda packages in an online conda repository. conda must be configured to give priority to installing packages from this channel.
Add the IBM WML-CE channel to the conda configuration by running the following command:
conda config --prepend channels \
https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/
Add the MIT Open-CE channel to the conda configuration by running the following command:
conda config --prepend channels \
https://opence.mit.edu
NOTE: Moving forward with new AI frameworks and new related packages OPENCE.MIT.EDU conda channel will the prefered choice (i.e. TensorFlow 2.3.1, 2.4.0, Pytorch 1.6.0, 1.7.1 etc).
[3] WML-CE and Open-CE: Creating and activate conda environments (recommended)¶
With conda, you can create environments that have different versions of Python or packages installed in them. Conda environments are optional but recommended. If not used, packages are installed in the default environment called base, which often has a higher risk of containing conflicting packages or dependencies. Switching between environments is called activating the environment.
The syntax to create and activate a conda environment is:
conda create --name <environment name> python=<python version>
conda activate <environment name>
The only valid Python versions with WML-CE are Python 3.6, 3.7 and for Open-CE are Python 3.6, 3.7, 3.8 . For example, to create an environment named wmlce_env with Python 3.6:
conda create --name wmlce-1.7.0 python=3.6
conda activate wmlce-1.7.0
or
conda create --name opence python=3.7
conda activate opence
NOTE: As a good practice to maintain the disk space usage on Satori please run at regular intervals the following command that will remove unused packages and caches from your Anaconda profile. In addition this command shuld be use before installing a new version of WML-CE/Open-CE on another virtual environment.
conda clean --all
[4] WML-CE: Installing all frameworks at the same time¶
All the MLDL frameworks except RAPIDS packages can be installed at the same time by using the powerai meta-package. All the RAPIDS packages can be installed using the powerai-rapids meta-package.
conda install powerai
Additionaly pachages can be installed with the conda environment activated, runining the following command:
conda install <package name>
For example:
conda install tensorflow
conda install pytorch
conda install powerai-rapids
conda install dali
conda install apex
For specific python package versions you can search with conda as in example bellow (by indicaticating the channel if not included as described above) :
conda search pytorch
conda search pytorch==1.7.1 -c https://opence.mit.edu
conda search 'pytorch>=1.6' -c https://opence.mit.edu
NOTE: During the conda install, the packages are downloaded from the internet and after downloading, the license agreement is presented. Read the license agreement and accept the terms and conditions to complete the install. If you decline the license agreement the packages are not installed. After you finish reading the license agreement, future installations can be automated to silently accept the license agreement by running the following command before running the conda install command:
export IBM_POWERAI_LICENSE_ACCEPT=yes
The license accept has to be done only once on a per user basis.
[5] WML-CE: Testing ML/DL frameworks (Pytorch, TensorFlow etc) installation¶
conda activate wmlce-1.7.0
python
- PYTORCH
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
torch.manual_seed(1)
lin = nn.Linear(5, 3) # maps from R^5 to R^3, parameters A, b
# data is 2x5. A maps from 5 to 3... can we map "data" under A?
data = torch.randn(2, 5)
print(lin(data)) # yes
- TensorFlow
import tensorflow as tf
from __future__ import print_function
# bellow two rows are for TF1.x compatibility mode in TF2.x - don't use them with TF1.x
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
# Create a Constant op
# The op is added as a node to the default graph.
#
# The value returned by the constructor represents the output
# of the Constant op.
hello = tf.constant('Hello, TensorFlow!')
# Start tf session
sess = tf.Session()
# Run the op
print(sess.run(hello))
c. Caffe Test with LSF workload manager; this will run remote in one of the Satori compute nodes available
cd ~/
conda install keras
wget https://raw.githubusercontent.com/mit-satori/getting-started/master/lsf-templates/template-caffetest-singlenode.lsf
bsub < template-caffetest-singlenode.lsf
bjobs
bjobs
bpeek
bpeek
bpeek
bjobs
The template-caffe-test-singlenode.lsf consist in the following LSF file:
#BSUB -L /bin/bash
#BSUB -J "caffe-test"
#BSUB -o "caffe-test_o.%J"
#BSUB -e "caffe-test_e.%J"
#BSUB -n 4
#BSUB -R "span[ptile=4]"
#BSUB -gpu "num=4"
#BSUB -q "normal"
#BSUB -x
HOME2=/nobackup/users/$(whoami)
PYTHON_VIRTUAL_ENVIRONMENT=wmlce-1.7.0
CONDA_ROOT=$HOME2/anaconda3
source ${CONDA_ROOT}/etc/profile.d/conda.sh
conda activate $PYTHON_VIRTUAL_ENVIRONMENT
caffe-test
You can try even your custom ML/DL code; in case you have missing libraries don’t forget to install them with:
conda instal <package name>
pip install <package name>
If you don’t have any more errors you are ready to submit jobs on the compute nodes :)
Controlling WML-CE release packages¶
The conda installer uses a set of rules to determine which packages to install. Channel priorities and package versions are weighted heavily, but the installer also considers factors such as the number of packages that would need to be installed, whether any packages would need to be upgraded or removed, and so on.
The conda installer will sometimes come up with a surprising installation solution. It may prefer to install: Packages from Anaconda channels over the WML CE channel in spite of channel priorities. Packages from an older release of WML CE in spite of newer versions being available. You can guide the conda installer to ensure that it chooses the desired WML CE package using the strict channel priority option and the powerai-release meta-package.
- Strict channel priority
The strict channel priority option forces the conda installer to give additional weight to the priority of channels defined in the configuration. It is useful in cases where the conda installer is preferring packages from lower-priority channels. The simplest use is just to add –strict-channel-priority to the install command:
conda install --strict-channel-priority tensorflow
You can check the priority of the channels in the configuration by running the following:
conda config --show
...
channel_priority: flexible
channels:
- https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/
- defaults
...
You could permanently change the channel priority setting to strict:
conda config --set channel_priority strict
- WML-CE release meta-package
The powerai-release meta-package can be used to specify the WML CE release you want to install from. It is useful when the installer prefers packages from an earlier release, or if you intentionally want to install packages from an older release. Examples:
(my-wmlce-env) $ conda install pytorch powerai-release=1.7.0
(my-wmlce-env) $ conda install pytorch powerai-release=1.6.2
The –strict-channel-priority option can be used with powerai-release for greater control:
conda install --strict-channel-priority pytorch powerai-release=1.7.0
Additional conda channels¶
The main WML CE conda channel is described above. That channel includes the formal, supported WML CE releases.
Additional conda channels are available to complement the main channel. Packages in these channels are not formally supported. Both of these channels are optional. WML CE will install and run fine without either. They can also be used independently of each other (Supplementary does not need Early Access or vice versa). Use them if you want the packages they provide and do not need formal support.
The WML CE Supplementary channel is available at: https://anaconda.org/powerai/.¶
This channel includes packages that are not part of WML CE, but which may be useful to WML CE users. The packages are built from recipes in the WML CE GitHub repository: https://github.com/ibm/powerai.
Problem reports and recipe contributions from the community are welcome. More information about the Supplementary channel can be found in the PowerAI Supplementary Channel README.
The WML-CE Early Access channel is available at: https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda-early-access/.¶
This channel is updated occasionally with latest versions of various packages included in WML CE. The purpose of the channel is to make new versions of frameworks available in advance of formal WML CE releases. Packages published in the Early Access channel may not exactly match a later WML-CE release. For example, package and prerequisite versions may differ.
Packages in the Early Access channel might depend on packages in the main channel, so both channels might be needed in the conda config.
Example of getting EA WML-CE software:
conda config --prepend channels https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda-early-access/
conda create -n wmlce-ea python=3.7
conda activate wmlce-ea
conda install tensorflow
Alternative:
conda config --prepend channels https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda-early-access/
conda create -n wmlce-ea python=3.6
conda activate wmlce-ea
conda install tensorflow=2.1.0=gpu_py36_914.g4f6e601
To test your TF2 code you can use the this Deep Convolutional Generative Adversarial Network jupyter notebook from this link or go to https://github.com/tensorflow/docs/tree/master/site/en/tutorials


Chapter 18. Search Results
Suppose that you want to scan a text file encoded in HTML and extract all the code snippets. Each snippet begins with "" and ends with "". The two markers are not case sensitive. In Chapter 17, we looked at a regular expression to recognize these snippets: const char *expr = ""; Now we need to enhance that expression, to require both markers, and to capture the text between the two markers. To do that, we add the second marker and a capture group to hold the text between the markers: const char *expr = "(.*)"; After a successful match, the capture group will hold the text that was found between the two markers. To look at that text, we need to pass a match_results object to regex_search. If it finds a match, regex_search fills in the match_results object with details of the capture groups. The template match_results has a member operator[](size_type n) that returns a reference to a sub_match object, which, in turn, holds the information about the nth capture group. In this case, we're interested in the first capture group, so after the search, we need to look at match[1]. Example 18.1. Searching for Code Snippets (regexres/snippets.cpp)
This code works because the two sets of search functions discussed in Chapter 17 have additional overloads that provide more detailed information about the range of characters in the target sequence that matched the regular expression and the ranges of characters that matched capture groups in the regular expression. To get this additional information, you pass a match_results object to any of the versions of regex_match or regex_search immediately before the regular expression object. |


---
layout: post
title: form component updated
tags: []
status: publish
type: post
published: true
meta: {}
---
I have finally found a second to update my form CFC and it now includes hidden input,textarea input and form validation integration with my JavaScript form validation script. I also had to change the way the form was initialised. CFMX was having intermittent issues with <cfsavecontent>. Instead I now simply set a variable. You can grab the latest version here.


Please specify the short names of the projects you want for the forecast, separated by ','.e.g.: TST,PROJ
Please specify the issue types you want to analyze, separated by ','.e.g.: Arbeitspaket,Defect
Please specify the first day of the time window to analyze.
Please specify the last day of the time window to analyze.
Check if you want to analyse the alternative estimations, defined in the configuration, besides story points. E.g.: T-Shirt Size
Here you can add a clause that will be added to the search query with an AND.e.g.: "'Story Points' = 2"


YOU'VE GOT MAIL A film review by Matt Williams
RATING: * * * out of * * * *
One of the oldest adages in Hollywood is: find a good formula and stick with it. So, hoping for another Sleepless in Seattle, writer/director Nora Ephron has once again teamed up with stars Tom Hanks and Meg Ryan for a cutely sentimental romantic comedy, You've Got Mail.
Kathleen Kelly (Meg Ryan) runs The Shop Around the Corner, an independent children's book store in New York. Her store specializes in personal attention and service...but it is being threatened by the new Fox Books superstore which is opening down the street.
Kathleen seeks comfort from an online friend she met in a chat room on the internet. She anonymously falls in love with this charming, complete stranger. But, unbeknownst to her, her online love is none other than her arch-rival, Joe Fox, of Fox Books fame. And neither does Joe Fox know that his online paramour is the troublesome Kathleen Kelly, chief crusader against the presence of his chain bookstore.
Both Joe and Kathleen are currently involved in relationships. Kathleen is attached to a self-obsessed columnist (Greg Kinnear), and Joe is living with a hyperactive publisher (Parker Posey). But they are relationships without passion...unlike what Joe and Kathleen find with each other online.
Nora Ephron deftly takes the formula from Sleepless in Seattle, and makes a few minor substitutions (such as, instead of An Affair to Remember and The Dirty Dozen, You've Got Mail uses Pride and Prejudice and The Godfather to illustrate the dichotomy between the sexes). The end result is familiar, yet pleasant.
The reason the film uses that formula is simple: it works. Both Ryan and Hanks cutely emit waves of niceness wherever they go. It's hard not to like their characters, and you instinctively want them to be together.
The film's overall plotline is inconsequential in the grand scheme of things...it's merely there to provide enough obstacles so Meg Ryan and Tom Hanks don't hook up too soon. But for an inconsequential plotline, it is handled well. The film smartly avoids painting either Ryan or Hanks as the villain in the bookstore battle (though the film does seem to favor the "independent" side). And there are plenty of interesting little subplots that keep the whole thing from becoming tedious.
In addition to good performances by Hanks and Ryan, the film boasts a plenitude of above-par supporting turns. Kinnear and Posey are likable as the alternative romantic interests...even though they're not perfectly matched with Ryan and Hanks, we can understand why they start the movie together. Steve Zahn makes a good impression as an unusual employee at The Shop Around the Corner. Dabney Coleman and Jean Stapleton aren't overwhelmed with things to do in their minor roles, but are a welcome, recognizable presence.
You've Got Mail distills the essence of Meg Ryan and Tom Hanks. It's cute, funny, nice and ever-so-appealing romantic comedy.
Copyright 1999 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of nearly 700 reviews, and information on over 750 upcoming releases
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Now that the database connections are working we can start writing the view functions. We will need four of them:
This view shows all the entries stored in the database. It listens on the root of the application and will select title and text from the database. The one with the highest id (the newest entry) will be on top. The rows returned from the cursor are tuples with the columns ordered like specified in the select statement. This is good enough for small applications like here, but you might want to convert them into a dict. If you are interested in how to do that, check out the Easy Querying example.
The view function will pass the entries as dicts to the show_entries.html template and return the rendered one:
@app.route('/')
def show_entries():
cur = g.db.execute('select title, text from entries order by id desc')
entries = [dict(title=row[0], text=row[1]) for row in cur.fetchall()]
return render_template('show_entries.html', entries=entries)
This view lets the user add new entries if they are logged in. This only responds to POST requests, the actual form is shown on the show_entries page. If everything worked out well we will flash() an information message to the next request and redirect back to the show_entries page:
@app.route('/add', methods=['POST'])
def add_entry():
if not session.get('logged_in'):
abort(401)
g.db.execute('insert into entries (title, text) values (?, ?)',
[request.form['title'], request.form['text']])
g.db.commit()
flash('New entry was successfully posted')
return redirect(url_for('show_entries'))
Note that we check that the user is logged in here (the logged_in key is present in the session and True).
Security Note
Be sure to use question marks when building SQL statements, as done in the example above. Otherwise, your app will be vulnerable to SQL injection when you use string formatting to build SQL statements. See Using SQLite 3 with Flask for more.
These functions are used to sign the user in and out. Login checks the username and password against the ones from the configuration and sets the logged_in key in the session. If the user logged in successfully, that key is set to True, and the user is redirected back to the show_entries page. In addition, a message is flashed that informs the user that he or she was logged in successfully. If an error occurred, the template is notified about that, and the user is asked again:
@app.route('/login', methods=['GET', 'POST'])
def login():
error = None
if request.method == 'POST':
if request.form['username'] != app.config['USERNAME']:
error = 'Invalid username'
elif request.form['password'] != app.config['PASSWORD']:
error = 'Invalid password'
else:
session['logged_in'] = True
flash('You were logged in')
return redirect(url_for('show_entries'))
return render_template('login.html', error=error)
The logout function, on the other hand, removes that key from the session again. We use a neat trick here: if you use the pop() method of the dict and pass a second parameter to it (the default), the method will delete the key from the dictionary if present or do nothing when that key is not in there. This is helpful because now we don’t have to check if the user was logged in.
@app.route('/logout')
def logout():
session.pop('logged_in', None)
flash('You were logged out')
return redirect(url_for('show_entries'))
Continue with Step 6: The Templates.


| This is a template used by IDEA each time you create a Jetty-specific deployment descriptor. This descriptor represents a web application running within the Jetty server and defines such parameters as the context root and the context path of the application. |


Digital advertising is one of the most effective marketing tools available. From video, search and display ads to social media advertising, these methods generate effective results across industries.
Office supplies are consumables and equipment regularly used in offices by businesses and other organizations, by individuals engaged in written communications, recordkeeping or bookkeeping, janitorial and cleaning, and for storage of supplies or data.
Corporate branding refers to the practice of promoting the brand name of a corporate entity, as opposed to specific products or services.
Today, the dreams of Obrey Khupe (marketing director), Sivuyile Gulwa (operations director), Nolu- siso Kelembe (financial director) and Leigh Joseph (projects director) have been realised through the launch of Epik 7 Media Communications cc
The four directors bring with them extensive experience and expertise across the areas of marketing, communications, print & digital media; and publishing. The company has in place a hi-tech infrastruc- ture which enables it to deliver on its pay-off line: You dream it - we'll do it.
At Epik 7, we strive to build collaborative relationships with our clients that enable us to grow their brand and communications profile to achieve maximum exposure. To do this, we listen carefully to our clients so we can translate their needs into a comprehensive strategy that includes integrated and consistent messaging across multiple mediums.
For us, a job well done is one where we've exceeded our clients' expectations and helped build their brand to a point where they stand out clearly in the market place. What we offer is in-depth expertise and integrated delivery - it will save you time and it will bring you success.
Marketing Director
Operations Director
Financial Director
Projects Director
Sales
CEO


07 February 1997
Disease Outbreak Reported
No further cases of Ebola haemorrhagic fever have been reported since the last death which occurred in Libreville on 18 January. The total number of cases since the outbreak started in late August 1997 is 61 of which 45 were fatal. About 20 contacts, all in Libreville, are still being followed up.