text:
Five things to know about the New Orleans Saints on Wednesday, Nov. 6
Saints players practice at the Ochsner Sports Performance Center to prepare for Sunday's home game against the Atlanta Falcons
Watch a new episode of Running Errands with Saints Legends: Lance Moore. Host Mike Nabors runs a few errands with Saints legend Lance Moore in the second episode of Running Errands with Saints Legends, presented by Bridgestone Tires.
Check out a video recap of the Brees Foundation hosts "Brees Down the Runway". New Orleans Saints quarterback Drew Brees and the Brees Dream Foundation hosted a fashion show featuring Saints players to benefit the Women's Wellness and Survivorship Center at Ochsner Baptist Hospital on Nov. 4, 2019.
Make sure to look at pictures of Saints defensive end Cameron Jordan visiting Akili Academy for literacy event.
Start your day with Saints headlines every morning! Catch Saints on 60, hosted by Caroline Gonzalez, which is available via all Amazon connected devices.
The first Injury Report of the week will be released this afternoon. You can find it on NewOrleansSaints.com the team app presented by Verizon or on any of our social media accounts.
Five things to know about the New Orleans Saints on Monday, Jan. 18
Saints fall to the Bucs 30-20 in the Divisional Round of the 2020 playoffs
5 things to know about the New Orleans Saints on Sunday, Jan. 17
Saints will host the Tampa Bay Buccaneers at 5:40 p.m. on Fox
Five things to know about the New Orleans Saints on Friday, Jan. 15
Saints practice Friday at the Ochsner Sports Performance Center
Five things to know about the New Orleans Saints on Thursday, Jan. 14
Saints practice Thursday at the Ochsner Sports Performance Center
Five things to know about the New Orleans Saints on Wednesday, Jan. 13
Saints resume practice Wednesday at the Ochsner Sports Performance Center
Five things to know about the New Orleans Saints on Tuesday, Jan. 12
Saints resume practice Wednesday
Saints defeated the Bears 21-9 in the Wild Card round of the 2020 playoffs
Saints will play at the Chicago Bears at 3:40 p.m. on CBS
Five things to know about the New Orleans Saints on Friday, Jan. 8
Five things to know about the New Orleans Saints on Thursday, Jan. 7
Five things to know about the New Orleans Saints on Wednesday, Jan. 6
Five things to know about the New Orleans Saints on Tuesday, Jan. 5

redpajama_set_name: RedPajamaCommonCrawl


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text:
The Trench Reynolds Crime Report
Crime News That Matters
Former teacher sentenced for producing child porn on Musical.ly
Trench Reynolds
33-year-old Juan Carlos Ramon of Portland, Oregon pretended to be a girl on Musical.ly so he could communicate with two girls who were ages 6 and 8. Not a typo. Six and eight. I'm so disgusted by this story I'm just going to copy and paste the next bit… According to court documents, Ramon encouraged …
Categories: Musical.ly, MyCrimeSpace, Omegle•Tags: child porn, Juan Carlos Ramon, Musical.ly, Omegle, Oregon, portland•
Portland woman accused of prostituting 3-year-old daughter on Backpage
(Story broke 4/19/2017) 27-year-old Kelsey Wheeler, of Portland, Oregon is accused of allegedly offering her 3-year-old daughter for sex online. Wheeler reportedly placed ads on Backpage advertising 'mother-daughter experiences' and 'taboos'. I guess those keywords are allowed to slip through Backpage's so-called moderation tools. She was dimed out by a potential john who she is …
Categories: Backpage, craigscrimelist•Tags: Backpage, child prostitution, Kelsey Wheeler, Oregon, portland•
Two more craigslist creepers arrested in Oregon
Craigslist ads land 2 in jail for luring minors: It seems that May is the month where craigslist creepers come into bloom in the state of Oregon. On the heels of the arrest of a craigslist creeper in Portland and the conviction of a craigslist rapist in Tigard we have new of two more men …
Categories: craigscrimelist, craigslist•Tags: child solicitation, craigslist, Edgar Martinez-Alcauter, Jeffrey G. Hicks, Oregon, portland•
Backpage pimp accused of raping 15-year-old girl
Charge: Kent man pimped runaway girls in Seattle, Portland: Auburn man faces pimping charges in connection with 15-year-old girl he met in Kent: 43-year-old Nathan Bonds was arrested back in June for allegedly pimping out a 15-year-old runaway girl on Backpage in the SeaTac and Portland, Oregon, areas. If that's not repulsive enough Bonds allegedly …
Categories: Backpage, craigscrimelist•Tags: Backpage, child prostitution, Nathan Bonds, Oregon, portland, rape, Seattle, Tacoma, washington•
The Bad Boyfriend and the Attack of the Killer Shower
Police: 2-year-old assault victim dies, mom's boyfriend remains in jail: First responders were called to the Portland, Oregon, motel room of 28-year-old Joshua Howard because his girlfriend's two-year-old son was unconscious. Howard allegedly told police that he was giving the boy a shower and left him alone for a moment when he heard a thump. …
Categories: Abuse, Bad Breeders, Killing•Tags: bad boyfriend, child abuse, Joshua Howard, murder, Oregon, portland, thrown against toilet•
Michael Moore (not that one) arretsed for craigslist child porn
Portland man arrested in Craigslist porn case: Craigslist post leads to child pornography arrest: 45-year-old Michael Moore of Portland, Oregon was arrested late last month for allegedly posting child porn in the casual encounters section of craigslist. Where else, right? If the child porn wasn't creepy enough check out what he allegedly posted along with …
Categories: craigscrimelist, craigslist•Tags: child porn, craigslist, Michael Moore, Oregon, portland•
Portland craigslist creeper says he did it for a 'friend'
Feds arrest man in Portland hotel on accusations of seeking sex with girl: The FBI has arrested 33-year-old Lucas James Gautreaux, of Portland, Oregon for allegedly soliciting sex from an underage girl on craigslist. The Portland PD notified the feds after they noticed a casual encounters ad that was posted by someone lookingt to have …
Categories: craigscrimelist, craigslist•Tags: Asperger's, child solicitation, craigslist, Lucas James Gautreaux, Oregon, portland•
Oregon man sentenced for craigslist child prostitution
Ore. man gets nearly 16 years for sex trafficking: 39-year-old Donnico T. Johnson of Portland, Oregon was sentenced to almost 16 years in federal prison on child prostitution and trafficking charges. Johnson would traffic a 15-year-old Seattle girl between Portland and Seattle for the purposes of prostitution and of course, he advertised the girl on …
Categories: craigscrimelist, craigslist•Tags: child prostitution, craigslist, Donnico T. Johnson, human trafficking, Oregon, portland, Seattle, washington•
craigslist rape reported in Portland
Rape suspect arrested for attack on Craigslist exotic masseuse: In what seems to be the crime du jour on craigslist since erotic services was changed, another masseuse has been reportedly raped this time in Portland, Oregon. Police arrested 26-year-old Kurtis Raymond Steltz for allegedly raping a woman who was offering her services for exotic massages …
Categories: craigscrimelist, craigslist•Tags: craigslist, Kurtis Raymond Steltz, Oregon, portland, rape•
Men caught in 14-year-old's bed
Men Arrested In MySpace Sex Case: These two attractive gentlemen are Jover Mabaet and Dennis Keomoungkhoune of Portland, Oregon. Both are 21 and have been arrested for engaging in sexual activities with a 14-year-old girl they met on MySpace. The victim's father caught them both in bed with his daughter. To make matters worse Mabaet …
Categories: MyCrimeSpace, MySpace•Tags: Dennis-Keomoungkhoune, Jover-Mabaet, MySpace, Oregon, pedophiles, portland•
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text:
Rock Springs Girls Crowned Miss Wyoming and Miss Wyoming's Outstanding Teen
Olivia Kennah
Miss Wyoming, Jordan Hardman, and Miss Wyoming's Outstanding Teen, Hannah Moore. Photo by Kerns Photography
ROCK SPRINGS— Two Rock Springs natives were crowned as Miss Wyoming 2019 and Miss Wyoming's Outstanding Teen 2019 in Sheridan on Saturday, June 22, and will advance to compete at the national competitions.
Jordan Hardman, a senior at the University of Wyoming, was crowned 2019 Miss Wyoming. Hannah Moore, a senior at Black Butte High School, was crowned 2019 Miss Wyoming's Outstanding Teen.
"I'm not sure how to put into words the feeling I have with one of my biggest dreams coming true. It's indescribable," Hardman said. "I worked so hard for so long and to hear my name be called was surreal."
Hardman started competing in pageants when she was 9-years-old, winning her first state title at 14-years old.
"I had met my first Miss Wyoming when I was on that journey and she sparked my interest in the Miss America Organization," Hardman recalled. "She was so poised, intelligent, and just radiated confidence, and I wanted to be her."
Hardman said she loves dressing up, but what Hardman really loves about participating in pageants is the opportunity to talk about issues she cares about.
"I love being able to speak about my passions and interests," she said.
Left: Hardman with Miss Wyoming 2011. Right: Hardman just a few minutes after she was crowned.
This was Moore's first pageant and she enjoyed every moment of it.
"It was a great opportunity to grow my own personal strengths," Moore said.
How does it feel to win at her very first competition?
"I don't think it's set in yet, it's still very overwhelming. It's surreal," Moore said of being crowned. She added that it's strange seeing herself all over news sites and social media.
Making a Positive Change
Part of the Miss Wyoming competition includes developing a social impact to help make a positive difference for their communities.
Connecting Veterans and Children
Hardman's social impact is "Bridging History: Vets Who've Lived It, Children Who Need It," which includes three points of focus.
First is the history aspect, in which children are able to speak to people who lived through the country's history. Second involves the social circles of each group.
"I open up these two very different groups to each other and have them interact and see life from one another's perspective," Hardman said.
The third point of focus is on the mental and emotional health of both the kids and the veterans.
"They can help each other out of those emotions and mental issues that they might be dealing with in their own lives," she said.
Hardman partners with Big Brothers Big Sisters and The Combat Veterans Motorcycle Association, and she had an event with them a couple days before Memorial Day.
"Veterans came and talked and played games with these kids and it was such a special moment for me to see this come together," Hardman said.
Hannah Moore after being crowned Miss Wyoming's Outstanding Teen 2019.
Moore's social impact is titled "I Am Enough" and is aimed at empowering young girls.
"I just want to encourage young girls and tell them you're enough. They don't need to be anyone besides themselves," Moore said.
Moore said she is shy and introverted and was homeschooled for a few years. When she started going to school, she experienced bullying.
"I was bullied, being told that I need to be someone I'm not. When I got into high school I learned I just need to be myself because I am enough as a person," Moore said.
National Preparations
Next up for Hardman and Moore are the national competitions. The Miss America competition is slotted for September and will be back on NBC. The Miss America's Outstanding Teen competition will be toward the end of July.
Hardman and Moore will be preparing until then, perfecting their talents, interviews, and stage questions.
"And all of the shopping of course," Hardman said. "One of my favorite parts."
Miss Wyoming USA
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text:
Q: How to configure launch.json to debug examples of libvpx source using visual studio code? I need to build libvpx source using visual studio code. Then, run and debug vp8_multi_resolution_encoder.c.
To build the project tasks, I used tasks.json as follows:
{
"version": "0.1.0",
"command": "make",
"isShellCommand": true,
"tasks": [
    {
        "taskName": "Makefile",

        // Make this the default build command.
        "isBuildCommand": true,

        // Show the output window only if unrecognized errors occur.
        "showOutput": "always",

        // Pass 'all' as the build target
        "args": ["all"],

        // Use the standard less compilation problem matcher.
        "problemMatcher": {
            "owner": "c",
            "fileLocation": ["relative", "${workspaceRoot}"],
            "pattern": {
                "regexp": "^(.*):(\\d+):(\\d+):\\s+(warning|error):\\s+(.*)$",
                "file": 1,
                "line": 2,
                "column": 3,
                "severity": 4,
                "message": 5
            }
        }
    }
]

}
What are the key configurations for launch.json to debug the vp8_multi_resolution_encoder?

redpajama_set_name: RedPajamaStackExchange


text:
'''
Created on Aug 27, 2014

@author: David Zwicker <dzwicker@seas.harvard.edu>

Provides a dictionary with default parameters for the mouse tracking.
This can also be seen as some kind of documentation of the available
parameters.
'''

from __future__ import division

from collections import namedtuple, defaultdict
import os.path
import warnings

import numpy as np

# enum of different units that we use
class UNIT(object):
    FACTOR = 1
    FRACTION = 2
    FOLDER = 3
    SUBFOLDER = 4
    COLOR = 5
    BOOLEAN = 6
    INTEGER = 7
    STRING = 8
    LIST = 9
    LENGTH_PIXEL = 11
    LENGTH_CM = 12
    AREA_PIXEL = 15
    TIME_FRAMES = 20
    RATE_FRAMES = 21
    TIME_SECONDS = 22
    SPEED_PIXEL_FRAME = 30
    SPEED_CM_SEC = 31
    DEPRECATED = 100

    # create dictionary with parser functions
    parser = defaultdict(lambda: lambda val: val)

# initialize converters
UNIT.parser[UNIT.FACTOR] = float
UNIT.parser[UNIT.FRACTION] = float
UNIT.parser[UNIT.BOOLEAN] = bool
UNIT.parser[UNIT.INTEGER] = int
UNIT.parser[UNIT.LIST] = list
UNIT.parser[UNIT.LENGTH_PIXEL] = float
UNIT.parser[UNIT.LENGTH_CM] = float
UNIT.parser[UNIT.AREA_PIXEL] = float
UNIT.parser[UNIT.TIME_FRAMES] = float
UNIT.parser[UNIT.RATE_FRAMES] = float
UNIT.parser[UNIT.SPEED_PIXEL_FRAME] = float
UNIT.parser[UNIT.SPEED_CM_SEC] = float

# define a class that holds information about parameters
Parameter = namedtuple('Parameter',
                       ['key', 'default_value', 'unit', 'description'])

# define all parameters that we support with associated information
PARAMETER_LIST = [
    # Basic parameters
    Parameter('python_paths', ['__video_analysis_path__', '__project_path__'],
              UNIT.LIST,
              'List of paths that will be appended to the python path.'),
    Parameter('base_folder', '.', UNIT.FOLDER,
              'Base folder in which all files are kept'),
    Parameter('factor_length', 1, UNIT.DEPRECATED, #UNIT.FACTOR,
              'A factor by which all length scales will be scaled.'
              'Deprecated since 2014-12-20. Instead, `scale_length` should be '
              'used, which will be processed when loading the parameters once'),
    Parameter('use_threads', True, UNIT.BOOLEAN,
              'Determines whether multithreading is used in analyzing the '
              'videos. Generally, multithreading should speed up the analysis, '
              'but this is not always the case, especially for small videos, '
              'where the thread overhead is large.'),

    # Video input
    Parameter('video/filename_pattern', 'raw_video/*.MTS', UNIT.SUBFOLDER,
              'Filename pattern used to look for videos'),
    Parameter('video/folder_temporary', None, UNIT.SUBFOLDER,
              'Folder in which the video should be stored temporarily, e.g. to '
              'speed up the analysis.'),
    Parameter('video/initial_adaptation_frames', 100, UNIT.TIME_FRAMES,
              'Number of initial frames to skip during analysis'),
    Parameter('video/blur_method', 'gaussian', UNIT.STRING,
              'The method to be used for reducing noise in the video. The '
              'supported methods are `mean`, `gaussian`, `bilateral`, in '
              'increasing complexity, i.e. decreasing speed.'),
    Parameter('video/blur_radius', 3, UNIT.LENGTH_PIXEL,
              'Radius of the blur filter to remove noise'),
    Parameter('video/blur_sigma_color', 0, UNIT.COLOR,
              'Standard deviation in color space of the bilateral filter'),
    Parameter('video/frames', None, None,
              'Frames of the video which are analyzed [start and end index '
              'should be given]'),
    Parameter('video/frames_skip', 0, UNIT.TIME_FRAMES,
              'Number of frames that are skipped before starting the '
              'analysis. This value is only considered if `video/frames` '
              'is None.'),
    Parameter('video/rotation', 0, UNIT.INTEGER,
              "Specifies how much the video will be rotated in "
              "counter-clockwise direction. The value specified will be "
              "multiplied by 90 degrees to specify the amount of rotation."),
    Parameter('video/cropping_rect', None, None,
              "Rectangle to which the video is cropped. This can be either "
              "four numbers [left, top, width, height] or some string like "
              "'upper left', 'lower right', etc."),
    # Parameters of the video reading class
    Parameter('video/video_parameters/reopen_delay', 0, UNIT.TIME_SECONDS,
              "Delay in seconds before a video is reopened. This can prevent "
              "some problems with filesystems"),
    Parameter('video/video_parameters/video_info_method', 'ffprobe',
              UNIT.STRING,
              "Determines how video information, like the total number of "
              "frames are determined. Possible values are `header` and "
              "`ffprobe`. Note that the header information might be inaccurate "
              "but using ffprobe requires iterating through the video once."),
    Parameter('video/video_parameters/ffprobe_cache',
              os.path.expanduser('~/.videos.sqlite'), UNIT.STRING,
              'File where video information obtained from ffprobe will be '
              'stored to prevent multiple runs of ffprobe on the same video'),
    Parameter('video/video_parameters/seek_method', 'auto', UNIT.STRING,
              "Method used for seeking in videos. Can be any of ['exact', "
              "'keyframe', 'auto']. If 'auto', the method is determined based "
              "on the ffmpeg version."),
    Parameter('video/video_parameters/seek_max_frames', 100, UNIT.INTEGER,
              "The maximal number of frames that will be seeked by simply "
              "iterating the video. If larger jumps are desired, the video "
              "will be reopened."),
    Parameter('video/video_parameters/seek_offset', 1, UNIT.TIME_SECONDS,
              "The time the rough seek is placed before the target in order to "
              "make sure a keyframe is hit. This is only used if 'keyframe' is "
              "chosen as a 'seek_method'"),

    # Logging
    Parameter('logging/enabled',  True, UNIT.BOOLEAN,
              'Flag indicating whether logging is enabled'),
    Parameter('logging/folder', 'logging/', UNIT.SUBFOLDER,
              'Folder to which the log file is written'),
    Parameter('logging/level_stderr', 'INFO', None,
              'Level of messages to log to stderr [standard python logging '
              'levels]'),
    Parameter('logging/level_file', 'INFO', None,
              'Level of messages to log to file if folder is set '
              '[standard python logging levels]'),

    # Debug
    Parameter('debug/output', [], UNIT.LIST,
              "List of identifiers determining what debug output is produced. "
              "Supported identifiers include 'video', 'explored_area', "
              "'background', 'difference', 'cage_estimate', 'predug', "
              "'ground_estimate', 'explored_area_mask'."),
    Parameter('debug/use_multiprocessing', True, UNIT.BOOLEAN,
              'Flag indicating whether multiprocessing should be used to read '
              'and display videos'),
    Parameter('debug/folder', 'debug/', UNIT.SUBFOLDER,
              'Folder to which debug videos are written'),
    Parameter('debug/window_position', None, None,
              'Position (x, y) of the top-left corner of the debug window'),

    # Output
    Parameter('output/folder', 'results/', UNIT.SUBFOLDER,
              'Folder to which the YAML and HDF5 result files are written'),
    Parameter('output/video/folder', 'results/', UNIT.SUBFOLDER,
              'Folder to which the result video is written'),
    Parameter('output/video/folder_underground', 'results/underground_video/',
              UNIT.SUBFOLDER,
              'Folder to which the underground video is written'),
    Parameter('output/output_period', 1, UNIT.TIME_FRAMES,
              'How often are frames written to the output file or shown on the '
              'screen'),
    Parameter('output/hdf5_compression', 'gzip', None,
              'Compression algorithm to be used for the HDF5 data. Possible '
              'options might be None, "gzip", "lzf", and "szip".'),
    # Output video
    Parameter('output/video/enabled', True, UNIT.BOOLEAN,
              'Flag determining whether the final video should be produced'),
    Parameter('output/video/extension', '.mov', None,
              'File extension used for debug videos'),
    Parameter('output/video/codec', 'libx264', None,
              'ffmpeg video codec used for debug videos'),
    Parameter('output/video/bitrate', '2000k', None,
              'Bitrate used for debug videos'),
    Parameter('output/video/period', 100, UNIT.TIME_FRAMES,
              'How often are frames written to the output file'),
    Parameter('output/video/mouse_trail_length', 1000, UNIT.TIME_FRAMES,
              'The length of the trail indicating the mouse position in the '
              'past'),
    Parameter('output/video/underground_video_length', 30*60*20, #< 20 min
              UNIT.TIME_FRAMES,
              'Typical length of the underground video in number of frames'),
    Parameter('output/video/underground_display_item', '{time} [{frame}]',
              UNIT.STRING,
              'The data that is displayed in the underground video. '
              'Placeholders like `{time}` and `{frame}` are replaced by the '
              'data of the current frame.'),
    Parameter('output/video/crop_border_buffer', 5, UNIT.LENGTH_CM,
              'Size by which the cropping rectangle is extended when creating '
              'a cropped movie.'),
    Parameter('output/video/crop_frame_compression', 1, UNIT.FACTOR,
              'Factor that determines how many frames are dropped to compress '
              'the cropped video. For example, a factor of 2 drops every other '
              'frame.'),
    Parameter('output/video/crop_time_duration', -1, UNIT.TIME_SECONDS,
              'Number of seconds the output video should last at maximum. '
              'Negative numbers indicate that the video is not cut and thus '
              'all available data is used.'),
    Parameter('output/video/crop_bitrate', '1000k', None,
              'Bitrate used for cropped video videos. If None is given, the '
              'bitrate given in `output/video/bitrate` will be used.'),

    # Cage
    Parameter('cage/width_cm', 85.5, UNIT.LENGTH_CM,
              'Measured width of the cages/antfarms. The width is measured '
              'inside the cage, not including the frame.'),
    Parameter('cage/determine_boundaries', True, UNIT.BOOLEAN,
              'Flag indicating whether the cropping rectangle should be '
              'determined automatically. If False, we assume that the original '
              'video is already cropped'),
    Parameter('cage/restrict_to_largest_patch', True, UNIT.BOOLEAN,
              'Determines whether the cage analysis will be restricted to the '
              'largest patch in the first thresholded image.'),
    Parameter('cage/threshold_basic', 'otsu', None,
              'Determines the basic method that is used for thresholding. The '
              'default is `otsu`, which implements and automatic threshold. '
              'Alternatively, a number between 0 and 255 can be given, which '
              'is then used directly.'),
    Parameter('cage/threshold_zscore', 0.5, UNIT.FACTOR,
              'Factor that determines the threshold for producing the binary '
              'image that is used to located the frame of the cage. The '
              'threshold is calculated according to the formula '
              'thresh = img_mean - factor*img_std, where factor is the factor'
              'determined here.'),
    Parameter('cage/refine_by_fitting', True, UNIT.BOOLEAN,
              'Flag determining whether the cage rectangle should be refined '
              'by using fitting to locate the cage boundaries.'),
    Parameter('cage/boundary_detection_bottom_estimate', 0.95, UNIT.FRACTION,
              'Fraction of the image height that is used to estimate the '
              'position of the bottom of the frame'),
    Parameter('cage/boundary_detection_thresholds', [0.7, 0.3, 0.7, 0.9],
              UNIT.LIST,
              'Thresholds for the boundary detection algorithm. The four '
              'values are the fraction of bright pixels necessary to define '
              'the boundary for [left, top, right, bottom], respectively.'),
    Parameter('cage/width_min', 550, UNIT.LENGTH_PIXEL,
              'Minimal width of the cage. This is only used to make a '
              'plausibility test of the results'),
    Parameter('cage/width_max', 800, UNIT.LENGTH_PIXEL,
              'Maximal width of the cage. This is only used to make a '
              'plausibility test of the results'),
    Parameter('cage/height_min', 300, UNIT.LENGTH_PIXEL,
              'Minimal height of the cage. This is only used to make a '
              'plausibility test of the results'),
    Parameter('cage/height_max', 500, UNIT.LENGTH_PIXEL,
              'Maximal height of the cage. This is only used to make a '
              'plausibility test of the results'),
    Parameter('cage/rectangle_buffer', 5, UNIT.LENGTH_PIXEL,
              'Margin by which the estimated cage rectangle is enlarged '
              'before it is located by fitting.'),
    Parameter('cage/linescan_length', 50, UNIT.LENGTH_PIXEL,
              'Length of the line scan that is used to determine the cage '
              'boundary.'),
    Parameter('cage/linescan_width', 30, UNIT.LENGTH_PIXEL,
              'Width of the line scan use to extend the ground line to the '
              'cage frame.'),
    Parameter('cage/linescan_smooth', 5, UNIT.LENGTH_PIXEL,
              'Standard deviation used for smoothing the line scan profile'),

    # Colors
    Parameter('colors/adaptation_interval', 1000, UNIT.TIME_FRAMES,
              'How often are the color estimates adapted'),
    Parameter('colors/std_min', 5, UNIT.COLOR,
              'Minimal standard deviation of sky and sand colors'),

    # Background and explored area
    Parameter('background/adaptation_rate', 1e-2, UNIT.RATE_FRAMES,
              'Rate at which the background is adapted'),
    Parameter('explored_area/adaptation_rate_outside', 1e-3, UNIT.RATE_FRAMES,
              'Rate at which the explored area is adapted outside of burrows'),
    Parameter('explored_area/adaptation_rate_burrows', 0, UNIT.RATE_FRAMES,
              'Rate at which the explored area is adapted inside burrows'),

    # Ground
    Parameter('ground/template', '', None,
              'Name of the ground template stored in the assets directory. '
              'If the template is not given or could not be found, an '
              'alternative method based on line scans is used.'),
    Parameter('ground/template_width_factors', np.arange(0.7, 1.01, 0.05), None,
              'Different factors to try for scaling the template width with '
              'respect to the cage width.'),
    Parameter('ground/template_aspect_factors', np.arange(0.7, 1.31, 0.1), None,
              'Different factors to try for scaling the template aspect ratio'),
    Parameter('ground/template_width_fraction', 0.8, UNIT.FRACTION,
              'Fraction of the full template width that is used for matching.'),
    Parameter('ground/template_margin', 40, UNIT.LENGTH_PIXEL,
              'Margin on the top and the bottom of the template.'),
    Parameter('ground/point_spacing', 20, UNIT.LENGTH_PIXEL,
              'Spacing of the support points describing the ground profile'),
    Parameter('ground/linescan_length', 50, UNIT.DEPRECATED,
              'Length of the line scan used to determine the ground profile. '
              'Deprecated since 2014-12-19'),
    Parameter('ground/slope_detector_max_factor', 0.4, UNIT.FACTOR,
              'Factor important in the ridge detection step, where the ridge '
              'is roughly located by looking at vertical line scans and points '
              'with large slopes are located. The smaller this factor, the '
              'more such points are detected and the further up the profile is '
              'estimated to be'),
    Parameter('ground/length_max', 1500, UNIT.LENGTH_PIXEL,
              'Maximal length of the ground profile above which it is rejected'),
    Parameter('ground/curvature_energy_factor', 1, UNIT.DEPRECATED,
              'Relative strength of the curvature energy to the image energy '
              'in the snake model of the ground line.'
              'Deprecated since 2014-12-19.'),
    Parameter('ground/snake_energy_max', 10, UNIT.DEPRECATED,
              'Determines the maximal energy the snake is allowed to have. '
              'Deprecated since 2014-12-19'),
    Parameter('ground/slope_max', 3, UNIT.FRACTION,
              'Maximal slope of the side ridges'),
    Parameter('ground/frame_margin', 50, UNIT.LENGTH_PIXEL,
              'Width of the margin to the frame in which the ground profile is '
              'not determined'),
    Parameter('ground/grabcut_uncertainty_margin', 50, UNIT.LENGTH_PIXEL,
              'Width of the region around the estimated profile, in which '
              'the GrabCut algorithm may optimize'),
    Parameter('ground/active_snake_gamma', 1e-1, UNIT.FACTOR,
              'Time scale of the active snake evolution algorithm for finding '
              'the ground line. Too large gammas may lead to instabilities in '
              'the algorithm, while too small gammas may cause a very slow '
              'convergence.'),
    Parameter('ground/active_snake_beta', 1e6, UNIT.FACTOR,
              'Stiffness of the active snake evolution algorithm for finding '
              'the ground line. Larger values lead to straighter lines.'),
    Parameter('ground/adaptation_interval', 100, UNIT.TIME_FRAMES,
              'How often is the ground profile adapted'),
    Parameter('ground/ridge_width', 5, UNIT.LENGTH_PIXEL,
              'Width of the ground profile ridge'),
    Parameter('ground/smoothing_sigma', 1000, UNIT.TIME_FRAMES,
              'Standard deviation for Gaussian smoothing over time'),

    # Water bottle localization
    Parameter('water_bottle/remove_from_video', True, UNIT.BOOLEAN,
              'Flag that indicates whether the water bottle should be removed '
              'from the video'),
    Parameter('water_bottle/template_image', 'water_bottle.png', None,
              'Name of the template for removing the water bottle from the '
              'background estimate.'),
    Parameter('water_bottle/template_width', 60, UNIT.LENGTH_PIXEL,
              'Width of the water bottle template. This will be scaled to the '
              'right dimensions'),
    Parameter('water_bottle/template_height', 60, UNIT.LENGTH_PIXEL,
              'Width of the water bottle template. This will be scaled to the '
              'right dimensions'),
    Parameter('water_bottle/search_region', [0.8, 1., 0., 0.3], UNIT.LIST,
              'Defines the region [x_min, x_max, y_min, y_max] in which the '
              'upper left corner of the water bottle rectangle lies. The '
              'coordinates are given relative to the cage width and height. '
              'This is used to restrict the template matching to a sensible '
              'region.'),

    # Predug localization
    Parameter('predug/locate_predug', True, UNIT.BOOLEAN,
              'Flag determining whether the predug should be located.'),
    Parameter('predug/location', 'auto', UNIT.STRING,
              'Where the predug is located. Can be one of [`left`, `right`, '
              '`auto`]. For `auto`, the predug is searched on both sides.'),
    Parameter('predug/template_file', 'predug.yaml', None,
              'Name of the template for detecting the predug.'),
    Parameter('predug/scale_predug', True, UNIT.BOOLEAN,
              'Flag indicating whether the predug template will be scaled to '
              'the sizes given in `predug/template_width` and '
              '`predug/template_height`.'),
    Parameter('predug/template_width', 100, UNIT.LENGTH_PIXEL,
              'Width of the predug template. This will be scaled to the right '
              'dimensions'),
    Parameter('predug/template_height', 100, UNIT.LENGTH_PIXEL,
              'Width of the predug template. This will be scaled to the right '
              'dimensions'),
    Parameter('predug/wait_interval', 300,#30*60, #< 1 minute
              UNIT.TIME_FRAMES,
              'The time period after which the predug is detected.'),
    Parameter('predug/search_height_factor', 1, UNIT.FACTOR,
              'Determines the height of the area in which the predug is '
              'searched for. Half the height is this factor times the maximal '
              'vertical span of the ground line.'),
    Parameter('predug/search_width_factor', 0.75, UNIT.FACTOR,
              'Determines the width of the area in which the predug is '
              'searched for. Half the width is this factor times the width of '
              'the valley defined by the ground line.'),
    Parameter('predug/refine_shape', True, UNIT.BOOLEAN,
              'Determines whether the predug shape should be refined using the '
              'actual intensity values of the image. If this is not enabled, '
              'the returned predug shape will be that of the template.' ),
    Parameter('predug/simplify_threshold', 5, UNIT.AREA_PIXEL,
              'Threshold value for simplifying the contour line of the '
              'predug.'),
    Parameter('predug/debug_with_lines', True, UNIT.BOOLEAN,
              'Flag indicating whether lines should be drawn on the debug '
              'image of the predug.'),

    # Mouse and the associated tracking
    Parameter('mouse/max_count', 1, UNIT.INTEGER,
              'Maximal number of mice to be found. Most of the code has only '
              'been tested with `max_count = 1`, but we eventually want to '
              'extend this to more mice.'),
    Parameter('mouse/intensity_threshold', 1, UNIT.FACTOR,
              'Determines how much brighter than the background (usually the '
              'sky) the mouse has to be. This value is measured in terms of '
              'standard deviations of the sky color'),
    Parameter('mouse/model_radius', 25, UNIT.LENGTH_PIXEL,
              'Radius of the mouse model'),
    Parameter('mouse/area_max', 5000, UNIT.AREA_PIXEL,
              'Maximal area of a feature to be considered in tracking'),
    Parameter('mouse/area_min', 100, UNIT.AREA_PIXEL,
              'Minimal area of a feature to be considered in tracking'),
    Parameter('mouse/area_mean', 700, UNIT.AREA_PIXEL,
              'Mean area of a mouse, which is used to score the mouse'),
    Parameter('mouse/speed_max', 30, UNIT.SPEED_PIXEL_FRAME,
              'Maximal speed of the mouse'),
    Parameter('mouse/max_rel_area_change', 0.5, UNIT.FACTOR,
              'Maximal area change allowed between consecutive frames'),
    Parameter('mouse/speed_smoothing_window', 25, UNIT.DEPRECATED,
              'Deprecated since 2014-11-29. Use '
              '`tracking/position_smoothing_window` instead.'),
    Parameter('mouse/moving_threshold_cm_sec', 5, UNIT.SPEED_CM_SEC,
              'The threshold value of the speed above which the mouse is '
              'considered to be moving.'),
    Parameter('mouse/moving_threshold_pixel_frame', None, UNIT.DEPRECATED,
              'Deprecated since 2014-12-01.'),
    Parameter('mouse/activity_smoothing_interval', 30*60*30, #< 30 minutes
              UNIT.TIME_FRAMES,
              'The standard deviation of the Gaussian that is used for '
              'smoothing temporal data that is associated with activity '
              'measurements.'),
    Parameter('mouse/digging_rate_time_min', 30*60, UNIT.TIME_FRAMES,
              'Minimal time span the mouse has to be digging before we '
              'calculate a digging rate.'),

    Parameter('tracking/weight', 0.5, UNIT.FACTOR,
              'Relative weight of distance vs. size of objects for matching '
              'them'),
    Parameter('tracking/moving_window', 200, UNIT.TIME_FRAMES,
              'Number of consecutive frames used for motion detection'),
    Parameter('tracking/moving_threshold', 1, UNIT.SPEED_PIXEL_FRAME,
              'Threshold speed above which an object is said to be moving'),
    Parameter('tracking/object_count_max', 7, UNIT.INTEGER,
              'Maximal number of objects allowed in a single frame. If there '
              'are more objects, the entire frame is discarded'),
    Parameter('tracking/time_scale', 10, UNIT.TIME_FRAMES,
              'Time duration of not seeing the mouse after which we do not '
              'know where it is anymore'),
    Parameter('tracking/tolerated_overlap', 50, UNIT.TIME_FRAMES,
              'How much are two consecutive tracks allowed to overlap'),
    Parameter('tracking/initial_score_threshold', 1000, UNIT.FACTOR,
              'Initial threshold for building the tracking graph'),
    Parameter('tracking/score_threshold_max', 1e10, UNIT.FACTOR,
              'Maximal threshold above which the graph based tracking is '
              'aborted.'),
    Parameter('tracking/end_node_interval', 1000, UNIT.TIME_FRAMES,
              'What time duration do we consider for start and end nodes'),
    Parameter('tracking/splitting_duration_min', 10, None,
              'Track duration above which two overlapping tracks are split'),
    Parameter('tracking/maximal_gap', 10, UNIT.TIME_FRAMES,
              'Maximal gap length where we will use linear interpolation to '
              'determine the mouse position'),
    Parameter('tracking/maximal_jump', 50, UNIT.LENGTH_PIXEL,
              'Maximal distance between two tracks where we will use linear '
              'interpolation to determine the intermediated mouse positions.'),
    Parameter('tracking/position_smoothing_window', 5, UNIT.TIME_FRAMES,
              'The number of frames over which the mouse position is smoothed '
              'in order to calculate its velocity'),
    Parameter('tracking/mouse_distance_threshold', 500, UNIT.LENGTH_PIXEL,
              'Distance over which an object must move in order to call it a '
              'mouse. This is used to identify tracks which surely belong to '
              'mice. Graph matching is then used to fill in the gaps.'),
    Parameter('tracking/mouse_min_mean_speed', 0.5, UNIT.SPEED_PIXEL_FRAME,
              'Minimal average speed an object must have in order to be '
              'surely considered as a mouse. This is introduced to prevent '
              'stationary objects to be called a mouse.'),
    Parameter('tracking/max_track_count', 5000, UNIT.INTEGER,
              'Maximal number of tracks that can be connected. If there are '
              'more tracks, we throw out small tracks until the count '
              'decreased to the one given here.'),

    # Burrows
    Parameter('burrows/enabled_pass1', False, UNIT.BOOLEAN,
              'Whether burrows should be located in the first pass'),
    Parameter('burrows/enabled_pass3', True, UNIT.BOOLEAN,
              'Whether burrows should be located in the third pass'),
    Parameter('burrows/enabled_pass4', True, UNIT.BOOLEAN,
              'Whether burrows should be located in the fourth pass'),
    Parameter('burrows/adaptation_interval', 100, UNIT.TIME_FRAMES,
              'How often are the burrow shapes adapted'),
    Parameter('burrows/cage_margin', 30, UNIT.LENGTH_PIXEL,
              'Margin of a potential burrow to the cage boundary'),
    Parameter('burrows/width', 20, UNIT.LENGTH_PIXEL,
              'Typical width of a burrow'),
    Parameter('burrows/width_min', 10, UNIT.LENGTH_PIXEL,
              'Minimal width of a burrow'),
    Parameter('burrows/chunk_area_min', 50, UNIT.AREA_PIXEL,
              'Minimal area a burrow chunk needs to have in order to be '
              'considered.'),
    Parameter('burrows/area_min', 400, UNIT.AREA_PIXEL,
              'Minimal area a burrow cross section has to have'),
    Parameter('burrows/ground_point_distance', 10, UNIT.LENGTH_PIXEL,
              'Maximal distance of ground profile to outline points that are '
              'considered exit points'),
    Parameter('burrows/shape_threshold_distance', 50, UNIT.LENGTH_PIXEL,
              'Threshold value for the distance of burrow points from the '
              'ground points. If all points are closer than this threshold, '
              'the burrow is called a "wide burrow". Otherwise, the burrow '
              'will be treated as a "long burrow".'),
    Parameter('burrows/centerline_segment_length', 15, UNIT.LENGTH_PIXEL,
              'Length of a segment of the center line of a burrow'),
    Parameter('burrows/curvature_radius_max', 30, UNIT.LENGTH_PIXEL,
              'Maximal radius of curvature the centerline is allowed to have'),
    Parameter('burrows/grabcut_burrow_core_area_min', 500, UNIT.AREA_PIXEL,
              'Minimal area the sure region of the mask for the grab cut '
              'algorithm is supposed to have'),
    Parameter('burrows/fitting_length_threshold', 100, UNIT.LENGTH_PIXEL,
              'Length above which burrows are refined by fitting'),
    Parameter('burrows/fitting_width_threshold', 30, UNIT.LENGTH_PIXEL,
              'Width below which burrows are refined by fitting'),
    Parameter('burrows/fitting_edge_width', 3, UNIT.LENGTH_PIXEL,
              'Width of the burrow edge used in the template for fitting'),
    Parameter('burrows/fitting_edge_R2min', -10, UNIT.FACTOR,
              'Minimal value of the Coefficient of Determination (R^2) above '
              'which the fit of a burrow edge is considered good enough and '
              'will be used'),
    Parameter('burrows/outline_simplification_threshold', 0.005, UNIT.FACTOR,
              'Determines how much the burrow outline might be simplified. '
              'The quantity determines by what fraction the total outline '
              'length is allowed to change'),
    Parameter('burrows/simplification_threshold_area', 50, UNIT.AREA_PIXEL,
              'Burrow outline points are removed when the resulting effective '
              'change is below this threshold'),
    Parameter('burrows/chunk_dist_max', 30, UNIT.LENGTH_PIXEL,
              'Maximal distance between a burrow chunk and another structure '
              '(either another chunk or the ground line), such that the chunk '
              'is connected to the other structure.'),
    Parameter('burrows/image_statistics_window', 50, UNIT.LENGTH_PIXEL,
              'Half of the size of the window over which the statistics of '
              'the image are calculated.'),
    Parameter('burrows/image_statistics_overlap_threshold', 0.5, UNIT.FRACTION,
              'The threshold value of the allowed overlap of the background '
              'and foreground statistics. If the distributions overlap more '
              'than this value the point is considered to be background since '
              'it cannot be discriminated reliably.'),
    Parameter('burrows/activity_ignore_interval', 30*60*5, #< 5 minutes
              UNIT.TIME_FRAMES,
              'The time interval of the burrow trajectory that is ignored in '
              'the activity analysis. This is mainly done to circumvent '
              'problems with the initial predug.'),
    Parameter('burrows/activity_smoothing_interval', 30*60*30, #< 30 minutes
              UNIT.TIME_FRAMES,
              'The standard deviation of the Gaussian that is used for '
              'smoothing temporal data that is associated with activity '
              'measurements.'),
    Parameter('burrows/predug_analyze_time', 30*60, UNIT.TIME_FRAMES, #< 1 min
              'The time duration after burrow detection at which the predug is '
              'analyzed.'),
    Parameter('burrows/predug_area_threshold', 1000, UNIT.AREA_PIXEL,
              'The minimal area in pixels the burrow has to have in order to '
              'be considered as a predug.'),
    Parameter('burrows/initiation_threshold', 300, UNIT.AREA_PIXEL,
              'Minimal area that a burrow has to be dug in order to be counted '
              'as `initiated`'),

    Parameter('burrows/active_contour/blur_radius', 2, UNIT.LENGTH_PIXEL,
              'Blur radius of the active contour algorithm used for refining '
              'the burrow shape.'),
    Parameter('burrows/active_contour/stiffness', 1e4, UNIT.AREA_PIXEL,
              'Stiffness of the active contour algorithm used for refining the '
              'burrow shape.'),
    Parameter('burrows/active_contour/convergence_rate', 1e-2, UNIT.FACTOR,
              'Convergence rate of the active contour algorithm used for '
              'refining the burrow shape.'),
    Parameter('burrows/active_contour/max_iterations', 100, UNIT.FACTOR,
              'Maximal number of iterations of the active contour algorithm '
              'used for refining the burrow shape.'),

    # analysis after tracking
    Parameter('analysis/frames', None, None,
              'Frames of the video which are included in the report of the '
              'analysis [start and end index should be given]. If this is '
              'omitted, all analyzed frames are included'),
    Parameter('analysis/burrow_pass', 3, UNIT.INTEGER,
              'Determines the video analysis pass from which the burrow data '
              'is loaded to do analysis.'),

    # Computation resources
    Parameter('project/symlink_folder', None, None,
              'If set, a symlink pointing to the base_folder will be created '
              'in this directory when a project is created.'),
    Parameter('resources/notification_email', 'dzwicker@seas.harvard.edu', None,
              'Email address of the user to be notified in case of problems.'),
    Parameter('resources/slurm_partition', 'general', None,
              'Name of the slurm partition to use for submitting jobs'),

    Parameter('resources/pass0/job_id', None, None, 'Job id of pass 0'),
    Parameter('resources/pass0/cores', 1, UNIT.INTEGER,
              'Number of cores for pass 0'),
    Parameter('resources/pass0/time', 10*60, None,
              'Maximal computation minutes for pass 0'),
    Parameter('resources/pass0/memory', 1000, None,
              'Maximal RAM per core for pass 0 [in MB]'),

    Parameter('resources/pass1/job_id', None, None, 'Job id of pass 1'),
    Parameter('resources/pass1/cores', 3, UNIT.INTEGER,
              'Number of cores for pass 1'),
    Parameter('resources/pass1/time', 50*60, None,
              'Maximal computation minutes for pass 1'),
    Parameter('resources/pass1/memory', 2000, None,
              'Maximal RAM per core for pass 1 [in MB]'),

    Parameter('resources/pass2/job_id', None, None, 'Job id of pass 2'),
    Parameter('resources/pass2/cores', 1, UNIT.INTEGER,
              'Number of cores for pass 2'),
    Parameter('resources/pass2/time', 25*60, None,
              'Maximal computation minutes for pass 2'),
    Parameter('resources/pass2/memory', 24000, None,
              'Maximal RAM per core for pass 2 [in MB]'),

    Parameter('resources/pass3/job_id', None, None, 'Job id of pass 3'),
    Parameter('resources/pass3/cores', 2, UNIT.INTEGER,
              'Number of cores for pass 3'),
    Parameter('resources/pass3/time', 30*60, None,
              'Maximal computation minutes for pass 3'),
    Parameter('resources/pass3/memory', 6000, None,
              'Maximal RAM per core for pass 3 [in MB]'),

    Parameter('resources/pass4/job_id', None, None, 'Job id of pass 4'),
    Parameter('resources/pass4/cores', 2, UNIT.INTEGER,
              'Number of cores for pass 4'),
    Parameter('resources/pass4/time', 25*60, None,
              'Maximal computation minutes for pass 4'),
    Parameter('resources/pass4/memory', 2000, None,
              'Maximal RAM per core for pass 4 [in MB]'),

    Parameter('resources/pass7/cores', 2, UNIT.INTEGER,
              'Number of cores for pass 7'),
    Parameter('resources/pass7/job_id', None, None, 'Job id of pass 7'),
    Parameter('resources/pass7/time', 6*24*60, None,
              'Maximal computation minutes for pass 7'),
    Parameter('resources/pass7/memory', 2000, None,
              'Maximal RAM per core for pass 7 [in MB]'),

    Parameter('resources/pass9/cores', 2, UNIT.INTEGER,
              'Number of cores for pass 9'),
    Parameter('resources/pass9/job_id', None, None, 'Job id of pass 9'),
    Parameter('resources/pass9/time', 3*24*60, None,
              'Maximal computation minutes for pass 9'),
    Parameter('resources/pass9/memory', 2000, None,
              'Maximal RAM per core for pass 9 [in MB]'),
]

# test the default values of the parameters
for p in PARAMETER_LIST:
    try:
        UNIT.parser[p.unit](p.default_value)
    except:
        print('The default value for parameter `%s` was not consistent '
              'with the given unit.' % p.key)
        raise

# collect all parameters in a convenient dictionary
PARAMETERS = {p.key: p for p in PARAMETER_LIST}
# collect the default values of all parameters
PARAMETERS_DEFAULT = {p.key: p.default_value for p in PARAMETER_LIST
                      if p.unit != UNIT.DEPRECATED}

# clear namespace
del p

def set_base_folder(parameters, folder, include_default=False):
    """ changes the base folder of all folders given in the parameter
    dictionary.
    include_default is a flag indicating whether the default parameters
    describing folders should also be included. """

    warnings.warn("Base folder is a parameter now.", DeprecationWarning)

    # convert to plain dictionary if it is anything else
    parameters_type = type(parameters)
    if parameters_type != dict:
        parameters = parameters.to_dict(flatten=True)

    # add all default folders, which will be changed later
    if include_default:
        for p in PARAMETER_LIST:
            if p.unit == UNIT.SUBFOLDER and p.key not in parameters:
                parameters[p.key] = p.default_value

    # set the base folder
    parameters['base_folder'] = folder

    # return the result as the original type
    return parameters_type(parameters)

def scale_parameters(parameters, factor_length=1, factor_time=1):
    """ takes a NestedDict dictionary of parameters and scales them according to
    their unit and the given scale factors """
    # scale each parameter in the list
    for key in parameters.iterkeys(flatten=True):
        unit = PARAMETERS[key].unit
        if unit == UNIT.LENGTH_PIXEL:
            parameters[key] *= factor_length
        elif unit == UNIT.AREA_PIXEL:
            parameters[key] *= factor_length**2
        elif unit == UNIT.TIME_FRAMES:
            parameters[key] *= factor_time
        elif unit == UNIT.RATE_FRAMES:
            parameters[key] /= factor_time
        elif unit == UNIT.SPEED_PIXEL_FRAME:
            parameters[key] *= factor_length/factor_time

redpajama_set_name: RedPajamaGithub


Spanish Major Student Achievement Award recipients.
On April 28, 2017, the Department of Romance Languages and Literatures held its annual Undergraduate Awards Ceremony. The event featured opening remarks by Professor Bill Paulson and award presentations by Professors Alison Cornish, Juli Highfill, Peggy McCracken, and Ryan Szpiech.
The Agnes Nicolini Vincenti Award for an Outstanding Honors Thesis in Romance Languages and Literatures was presented to Nolan Kavanagh for his thesis Invasive Parties: Explaining the Absence of Right-Wing Populism in Spain.
The Chiara Maria Levin Award for Breadth and Excellence in the Romance Languages was presented to Maxim Aleksa for excelling in both French and Spanish.
French Major Student Achievement Award recipients.
Spanish Minor Student Achievement Award recipients.
Chiara Maria Levin Award winner Maxim Aleksa with Professor Bill Paulson.
French Minor Student Achievement Award recipients.
RLL Major Student Achievement Award recipient Devan Morgan with Professor Juli Highfill.
Agnes Nicolini Vincenti Award winner Nolan Kavanagh with Professor Juli Highfill.


text:
Download!!"Watch Fast and Furious" Online Full Movie free at home
Fast and Furious 9 is finally rolling onto screens this year after multiple delays, debuting the latest adventure in the hit franchise that's been bringing the thrills since 2001. F9, which sees the return of stars like Vin Diesel and Michelle Rodriguez, comes from director Justin Lin, who brought us four previous Fast & Furious films.
Fast and Furious Movies Details
Cipher enlists the help of Jakob, Dom's younger brother to take revenge on Dom and his team.
Release Date: 25 June 2021 (USA) 24 June 2021 (UK)
Director: Justin Lin
Writers: Daniel Casey (screenplay by), Justin Lin (screenplay by) | 4 more credits
Stars: Vin Diesel, Michelle Rodriguez, Jordana Brewster (See full cast & crew)
Fast & Furious 9's US & UK Release Date :
Fast and Furious 9 has had its UK release date changed — but this time, it's good news. The ninth instalment in the sprawling franchise will be out in UK cinemas on June 24, 2021.
'Fast & Furious 9' Release Pushed Back a Year Due to Coronavirus :will be released in US cinemas on June 25 and in UK cinemas on June 24. Fast & Furious 9
IS FAST AND FURIOUS 9 ON NETFLIX, AMAZON OR ANOTHER STREAMING SITE?
No, Fast and Furious 9 will not be available on any of the major streaming sites when it releases.
That's right, unlike so many new releases in the past year, Fast and Furious 9 will not be available on Netflix, Amazon Prime Video, HBO Max or Hulu.
Fast and Furious 9 will be available to watch exclusively in cinemas when it releases in the US on June 25th and the UK June 24th.
Where To Watch Fast And Furious 9 :
The current release plan for Fast and Furious 9 means it will hit theaters first, but that doesn't mean it won't be available to stream at home — you'll just have to wait a little while. Because F9 is from Universal, it's possible that it could become available to rent on premium VOD as soon as 17 days after it hits theaters. Under Universal's deal with cinema chains like AMC, the theatrical window is shortened to just 17 days, meaning Universal films are available to rent digitally for $19.99 just two and a half weeks after they premiere.
Still, sources told Decider last month that Universal will let F9 remain in theaters longer than 17 days, since the window agreed upon by Universal and AMC is flexible. Stay tuned for an official digital release date for the latest Fast & Furious film.
Still, sources told Decider last month that Universal will let F9 will likely remain in theaters longer than 17 days, since the window agreed upon by Universal and AMC is flexible. Stay tuned for an official digital release date for the latest Fast & Furious film.
Where can you watch Fast and Furious F9?
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Will Fast And Furious 9 Be On HBO MAX?
Right now, there are no plans to put Fast and Furious 9 on, HBO Max. While multiple Warner Bros. releases have made their way onto the streaming platform this year, F9 is a Universal release, which means it doesn't fall under the Warner Bros.
FAST AND FURIOUS 9 CAST: WHO STARS IN THE NEW FAST AND FURIOUS MOVIE?
The latest Fast & Furious movie stars Vin Diesel as Dominic Toretto, Michelle Rodriguez as Letty Ortiz, Tyrese Gibson as Roman Pearce, Ludacris as Tej Parker, John Cena as Jakob Toretto, Jordana Brewster as Mia Toretto, Nathalie Emmanuel as Ramsey, Sung Kang as Han Lue, Helen Mirren as Magdalene "Queenie" Shaw, Kurt Russell as Mr. Nobody, and Charlize Theron as Cipher.
Fast and furious 9 (F9) Review:
For a series that, at least for a while, used to be about nitro-injected street cred and grease-monkey car culture, the Fast & Furious movies really only have two gears. You've got fast and you've got furious. Stunts have gotten bigger, glossier and faker, but even at their worst, they've always been speedy, dangerously so. And just as crucially, every utterance about family out of Vin Diesel's mouth has a ponderous solemnity to it. That's the furious part. Over 20 years, the plots have detoured into globe-hopping spy nonsense — and these muscle cars have definitely hopped, sometimes with their own parachutes — yet the white-hot melodrama has skyrocketed in tandem.
Director Justin Lin, who perfected the formula with 2011's deliriously dumb Fast Five, is back in charge after sitting out two laps, during which the production grappled with the untimely death of co-star Paul Walker and some intra-actor bitchiness. Lin's Fast & Furious 9 feels like a rejuvenation. That's not just the fumes talking. (It's a thrill to be back in front of something big and loud.) The film is a return to principles, and if it goes off the rails into pure silliness — almost irredeemably at one point — there's at least an ethos to it.
Superfans will cheer the return of another character from beyond the grave. But when the VFX are this brazenly weightless, your eyes may already be wandering to the corner of the screen to see how many lives are left. There's a mysterious physics to these F&F films: not the laws of gravity or real-world kineticism, but that of catastrophic urban damage with zero casualties. A high-powered magnet smashing cars through buildings is at the core of F9's strongest action sequence. Elsewhere, two of Dom's most bickersome associates are launched into outer space in a cherry-red Pontiac for no rational reason whatsoever. You might smile at the lunkheadedness of the whole enterprise —that is, if you're feeling generous.
Two decades on, the franchise has a touch of self-deprecation to it, as well as an intimation of its own "invincibility", both earned. There's even dialogue to that effect, threatening to break the fourth wall. In actuality, we've all seen how precarious blockbusters can be without a season of moviegoers to welcome them. F9 isn't the perfect summer movie, but it's close enough: a reminder of the highs, lows and longueurs that mark the escapism we need.
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Category :electricity
Are The Elected Officials Aware Of The Wide Range Of Important Education Issues?
- Are The Elected Officials Aware Of The Wide Range Of Important Education Issues?
Adults Returning to Education
- Adults Returning to Education
A Guide For Different Types Of Outlets
- We use several types of outlets in our homes. Outlets are designed to provide a specific wattage and they are available in broad categories. They come in different sizes, shapes, and functionalities. We use outlets for powering electrical appliances, devices, and more.
Overview of Issues in Current and Higher Education
- Overview of Issues in Current and Higher Educationsss


text:
2017 U.S. Open Water National Championships
David Heron Claims Narrow 5K Victory at 2017 Open Water Nats
Haley Anderson Takes U.S. National Title in 5k Open Water
Erica Sullivan Named Women's 5K Junior Open Water Champion
Noah Brune Crowned Men's 5K Junior Open Water Champion
Ashley Twichell Wins U.S. Women's 10k By More Than a Minute, Headed to Budapest
Jordan Wilimovsky Wins U.S. Open Water National Title in Men's 10k, Will Defend World Title
Castaic Lake Measured at 69 Degrees Fahrenheit; No Wetsuits for Open Water Nats
Entry Lists Posted for U.S. Open Water National Championships
Meet Stories
The 2017 Open Water Championships concluded with a tight finish between David Heron and Andrew Gemmell in the men's 5K race. Heron, representing Tennessee, jumped to an early lead in the men's 5K and ...
After finishing second behind Ashley Twichell in the 10k race two days earlier, Trojan Swim Club's Haley Anderson finished on top in the 5k at the U.S. Open Water National Championships at Castaic Lak...
Erica Sullivan Named Women's 5K Junior Open Water Champion
The 2017 Open Water Championships continued with the junior men's and women's 5K open water swims. Erica Sullivan of the Sandpipers of Nevada topped the women's 5K junior competition with a dominating...
Noah Brune Crowned Men's 5K Junior Open Water Champion
The 2017 Open Water Championships continued with the junior men's and women's 5K open water swims. Noah Brune of the Mission Viejo Nadadores delivered a sizzling win in the junior men's 5K open water ...
Ashley Twichell Wins U.S. Women's 10k By More Than a Minute, Headed to Budapest
Ashley Twichell pulled away from the field in the women's 10k at the U.S. Open Water National Championships at Castaic Lake, winning by almost a minute over the two most recent Olympic silver medalist...
2017 U.S. Open Water National Championships - Meet Coverage
OFFICIAL MEET PAGE
MEET INFORMATION
WORLD CHAMPS SELECTION CRITERIA


Best Western Airport Inn & Suites North Charleston Charleston, Hotel null. Limited Time Offer!
57 minutes byRead more car distance from the center, this hotel is located at Prospect Way, in the north-west section of Charleston, which is ideal to discover the city.The Best Western Airport Inn & Suites North Charleston has all the services one would expect of a three star hotel in Charleston: Business Center, Laundry. This establishment is more of a Business hotel .Take advantage of the gym which is available at the hotel.This hotel offers a unique service : conference facilities.Practical information:This hotel has a parking.


Ms Soumya participated as a Tarot Card reader in International Music festival "SUNBURN", held in Goa in December 2015. The event was attended by huge audience.
A regular participant for Tarot Reading for Corporate, Individuals and Tourist groups.


text:
Automated Insights Week 7 Recap
Powered by Automated Insights
the leading provider of automated sports content for the web and mobile.
Follow them on Twitter @ainsights
Ahmad Bradshaw had the 10th-highest RB score in the league this week with 11.25 points.
The 18.00 points scored by the Minnesota Vikings Defense were a season-high.
Tom Brady scored 30.18 points, high enough to rank fifth in the league.
Andre Roberts had the sixth-highest score of any WR in the league this week with 14.65 points.
Rob Gronkowski had 18.90 points, the highest TE score of the week and the third-highest TE score in the league this season.
The 38.85 points scored by Josh Freeman ranked third in the league in scoring
The 13.05 points scored by Brandon Marshall was the eighth-highest score by a WR in the league this week.
Nick Folk scored 18.00 points, the second-highest K score in the league this season
Owen Daniels had the fourth-highest TE score in the league this week with 12.45 points.
The 39.84 points scored by Aaron Rodgers was the second-highest QB score of the week and is the 10th-highest QB score in the league this season.
Randall Cobb had 21.40 points, the highest WR score in the league this week.
Frank Gore had 11.60 points, the ninth-highest score among RBs in the league this week.
Sebastian Janikowski scored a season-high 14.00 points and beat his scoring projection by a season-high 75.4%.
Jordy Nelson had the third-highest score of any WR in the league this week with 16.10 points.
The 11.05 points scored by Dallas Clark beat his projected point total of 4.18 by 164.4%.
Chris Johnson had 22.40 points, the highest RB score of the week and the fourth-highest RB score in the league this season.
Ryan Fitzpatrick ranked fourth in the league in scoring this week with 33.15 points.
With 11.60 points, Greg Little had his highest output of the season and beat his projected point total by 315.8%
The 14.95 points scored by Adrian Peterson was the fifth-highest score of any RB in the league this week.
Darren McFadden scored 6.05 points against a projected 12.90 in the win, and has now scored below his projection in three straight games.
The Baltimore Ravens Defense scored the fewest points in the league this week with a season-low -2.00 points.
Joe Flacco has scored below his projection in three straight games after scoring 15.79 points against a projected 22.87 this week.
Brandon Lloyd had a season-low 0.80 points against a projected 5.96 in the win and has now scored below his projection in three straight games.
Anquan Boldin scored 2.70 points against a projected 8.17 in the win, and has now scored below his projection in three straight games.
Connor Barth had two season-lows this week. He scored a season-low 2.00 points and recorded only 25.3% of his 7.90-point projection.
The 5.20 points scored by Ray Rice was a season-low for both scoring and for his performance against projections. He reached only 45.7% of his 11.38 projected points this week.
Underacheivers
Calvin Johnson had a season-low 3.20 points against a projected 11.34 and has now underachieved in three straight games.
Michael Bush scored a season-low 2.15 points and underachieved for the fifth straight week.
BenJarvus Green-Ellis scored 3.45 points against a projected 8.05 and has now underachieved in six straight games.
Mike Nugent had a season-low 6.00 points and is on a three-week underperforming streak.
The Pittsburgh Steelers Defense underperformed versus projections for the sixth straight game with 3.00 points against a projected 6.75.
Jermichael Finley scored 2.55 points against a projected 5.66 and has now underachieved in six straight games.
DeAngelo Williams scored 0.20 points against a projected 5.18 and underachieved for the fourth time this season.
Torrey Smith scored 4.05 points against a projected 6.89 and has now underachieved in three straight games.
Overacheivers
Josh Gordon scored 9.95 points against a projected 3.92 and has now overachieved in three straight games.
Brandon Weeden ranked sixth in the league in scoring with 29.98 points against a projected 20.09 and has now overachieved in six straight games.
With 10.55 points scored versus a projected 7.24, Lance Moore has scored more points than projected for three straight games.
With 3.25 points versus a projected 7.22, Stevan Ridley scored only 45.0% of his projected point total.
Matt Schaub ranked seventh in the league in scoring and beating his scoring projection by a matchup-leading 49.2%.
Jeremy Kerley scored 9.60 points to beat his projected point total by 113.8%.
The Carolina Panthers Defense fell short of their scoring projection with 3.00 points, just 39.2% of their projected 7.66.
Shayne Graham scored 11.00 points against a projected 7.90 in the loss and has now beaten his projection in three straight games.
Mike Tolbert beat his scoring projection by 169.9%.
With 6.50 points against a projected 10.89, Matt Forte did not meet his projection for the fourth straight game.
With 10.65 points, Brandon LaFell beat his 4.01 projected point total by a team-leading 165.6%.
The 9.80 points scored by Denarius Moore outpaced his 6.53-point scoring projection by 50.1%.
The 2.35 points scored by Ben Tate fell short of his 5.24-point projection, the fifth straight game where that has happened.
It was a season-low 1.95 points for Trent Richardson this week. It was also a season-low for his performance versus projections, reaching only 20.2% of a projected point total of 9.63.
Montario Hardesty who beat his scoring projection by 337.5%.
Picked up Dustin Keller beat his scoring projection by 166.5%, with 14.15 points against a projected 5.31.
With 16.05 points, Victor Cruz ranked fourth in the league in scoring among WRs this week.
Matthew Stafford brought in 24.37 points, which was good enough to rank 10th in the league in scoring this week and fifth-best of any player on watches run this season.
Darren Sproles exceeded scoring projections by 35.5%, with 10.95 points against a projected 8.08.
With 1.00 point, Phil Dawson scored only 12.3% of his 8.11 projected point total.
With 6.00 points, the Cleveland Browns Defense recorded only 77.3% of their 7.76-point scoring projection.
The 27.61 points scored by Robert Griffin III ranked ninth in the league in scoring this week and fifth for any player on That Was Easy this season.
Arian Foster scored 17.65 points, which ranked second out of all the RBs in the league this week.
After a season-low 1.15 points against a projected 6.00, Fred Davis has scored below his projection in three straight games.
Doug Martin scored 13.60 points, which ranked seventh out of all the RBs in the league this week.
Blair Walsh fell short of his scoring projection with 3.00 points, just 30.7% of his projected 9.77.
In the loss, Drew Brees led the league in scoring and had the sixth-most points in the league this season with 43.09.
Labels: 2012 Automated Insights Fantasy Football NFL Week 7


Today was a fabulous and very jam-packed day in Strasbourg, France! Strasbourg is the legislative and democratic capital of the Europe Union and is known as the "Amsterdam of France." The canals that fill the city are lined with half-timbered homes and the streets are busied with locals carrying their groceries on their way home from the nearby market. The Strasbourg city center is a UNESCO World Heritage Site and the Christmas market is the said to be the most beautiful, popular, and well-known Christmas market in Europe.
Before hitting the markets we roamed the streets of the city and stopped to tour the Cathedrale Nortre-Dame de Strasbourg which has a beautiful mix of Romanesque and Gothic architecture.
Inside of the cathedral, on the pulpit, is the sculpture of a tiny dog. This dog was put here to depict the time when Geiler of Kaysersberg preached on this pulpit and would bring his dog with him, who would sleep along side him. The dog is still shown here sleeping, and tourists come from all over the world to rub his head for good luck.
The cathedral is 142 meters (466 feet) and was the world's tallest building from 1647 to 1874, and we got to climb the 350 stairs to the top! The view of the city and Christmas market was absolutely breathtaking.
After seeing the market from a birds-eye view, it was finally time to do some shopping, and eating!
Before beginning our search for our first local dish, we toasted to a beautiful day with a glass of glühwein!
We were instructed to try tarte flambée, a specialty of the region, and that is exactly what we did! We looked for the busiest chalet, placed our order and waited for it to warm up. Flambée is an Alsatian dish, like a French pizza, covered in formage blanc, onions and lardon.
After spending hours in the markets, we decided we needed to put our feet up and relax for a little. So we hoped on a river cruise to get a tour of the city by boat. Little did we know that this tour would point out the top 40 attractions in the city, how informative! But the best part of the boat tour was that we were able to go through a series of locks that lead us from one canal to another. It was so cool to be in the boat and see us rise and be lowered in relation to the people on the streets.
When the sun began to set we decided to call it a day and head back to the Viking Bragi. Our boat for the evening was docked right next to the Pont de L'Europe, a pedestrian bridge that connects Strasbourg, France with Kehl, Germany. So we decided to take a casual sunset stroll over the bridge from France to Germany. How cool! No passport, no checkpoints, no security, we were able to walk between the two countries in less than 10 minutes!
Even though our day in Strasbourg was long, I was somewhat peer-pressured into participating in the Viking Bragi activity for the night, a European Christmas Quiz hosted by the Program Director on the boat. I had not planned on participating, so when I arrived late and without a team, I joined an older gentleman, Fred, who was sitting by himself and I think had intended to be a silent observer of the trivia game prior to my arrival. Well, ironically, our small team of two ended up winning the quiz and were rewarded with a complementary bottle of sparkling wine! It ended up being a very fun time and the perfect activity to unwind after an exhilarating day.


If you're going to listen to songs, you better do it right. Make the most of the experience, with this Motorola Pulse 2 wired headset. It's earcups are rotatable and it's packed with 36-mm speaker drivers so it has a rich and powerful bass sound. Want to take or make a call? Use the headphone's in-line microphone to do so without missing a single beat.
With Moto Pulse 2 you can attend calls while you listen to your favorite music with ease. Thanks to it's in line microphone you get to switch between music and calls effortlessly. Now all you have to do is attend your calls hands-free.
What good is music without proper bass? Moto Pulse 2 headphones with their big 36mm drivers drive you straight into the music full of bass.
You can choose from three colours. Motorola Pulse 2 comes in black, white or red.
Yes, the cables are detachable.
Cable length is 1.2 m.


The materials in the subject category FG 15 (Department of the Navy) contain various correspondence, memoranda, reports, notes, invitations, guest lists, resignations, promotions, nominations and commendations.
Frequent correspondents include: Richard Nixon, James D. Hughes, John H. Chaffee, Alexander Haig, Charles R. Larson, John Warner and John V. Brennan.
The terms Executive and General precede each FG 15 file designation. Items designated Executive consist of communications between government agencies. Items designated General consist of communications between the government and the private sector.
Includes routine nominations and promotions of military personnel; Medal of Honor Awards; assignments of White House social aides; White House dinner guest lists; violations of the Antideficiency Act; Navy operations on the island of Culebra; Presidential Unit Citations; base closings; activities of the Naval Photographic Center and memos on the Military Sealift Command.
Includes nominations for Secretary and Assistant Secretaries of the Navy and resignations of various officials.
The documents in this file deal with providing staff support for the White House Conference on Food, Nutrition and Health and routine nominations for promotion.
All file folders are empty.
Includes invitations, thank you notes, assignment of White House social aides and routine assignments and promotions of personnel.
Includes nominations and letters of congratulations to Admirals Moorer and Zumwalt.
The only documents in this file deal with Vice Admiral positions and a request for the Navy Technical Forecast.
The only document in this file deals with the promotion of Admiral Isaac Kidd.
Includes Presidential Unit Citations; promotions and nominations of military personnel; Presidential note of thanks to the Marine band; base closings and a report on alleged racial unrest at Camp Lejeune.
Includes nomination documents for Commandant of the Marine Corps.
All folders in this file are empty.
The only documents in this file deal with the Omega Navigation System and the Defense Mapping Agency.
The only documents in this file deal with the inability of Waves to serve in Vietnam and Presidential greetings on the thirtieth anniversary of the Waves.


Text by Élisabeth LEBON, author of: Charles Despiau. Classique & moderne, Biarritz, Editions Atlantica, 2016, and of Dictionnaire des fondeurs de bronze d'art. France 1890-1950, Perth, Marjon éditions, 2003 ([email protected]).
Charles Despiau (1875-1946) (ill. 1) experienced his first official success in France with his exhibit of a large stone sculpture of a faun (Faunesse) at the International Exhibition of the Decorative Arts in Paris in 1925. After this event, Despiau's career took off at a remarkable rate, however not in France, where he continued to be ignored, with the exception of an entire generation of young sculptors who recognized Despiau as a new Master of an "independent" art, but abroad: in Germany, in the Nordic countries, in Japan (where his renown never declined and continues to this day), and primarily in the United States.
As early as 1926, Miss Keller, fiancée of the New York investment banker, Maurice L. Stone, commissioned a portrait bust of herself. The bust, titled Madame Stone (ill. 2) and one of the artist's masterpieces, inaugurated a long series of commissions that would henceforth come to the artist from the international high bourgeoisie. Thusly, in 1929, Despiau produced a portrait bust of Mrs. Edward Bruce, wife of the future director of the Public Works Art Project, a program that created work for artists during the Great Depression. During the same year, the artist created a portrait bust of the former Agnes Ernst (Madame Meyer), wife of Eugene Meyer, publisher of the Washington Post newspaper (at the same time Mrs. Meyer was also being portrayed by the sculptor Constantin Brancusi). Refusing to produce works more quickly, or in greater numbers (editions of his work were strictly limited), Despiau continued to contribute to the fulfillment of the craze for his work; his prices increased significantly, and the demand for the artist's creations exploded. Those who cared for the most prestigious contemporary art collections, public or private, watched anxiously for one of Despiau's rare editions to become available on the market.
Among Despiau's great admirers was Frank Crowninshield (ill . 3), wealthy editor-in-chief of Vanity Fair, who developed a veritable passion for the work of the artist and aspired to become his principal patron. Crowninshield acquired at least one example of all of the artist's works that had been made available and obtained new editions of older works. He also undertook the systematic acquisition of an edition of each of the artist's future works. The Crowninshield collection contributed to the expansion of the sculptor's reputation in the United States, as his patron repeatedly put his works on exhibition (in 1929 in New York and in 1932 in Chicago), and his loans were made with pleasure. Despiau was thusly assured of a comfortable regular income, which allowed him to have true artistic freedom.
Rapidly, a majority of the most important American and European cities took up the baton: solo exhibitions of Despiau's work were presented in 1928 in Buffalo (ill. 7), in 1929 in New York, in 1930 in Brussels and Rochester, New York, in 1932 in Chicago, Denver, Basel, and Berne, and in 1937 and 1938 in London. It was not until 1938 that Rouen, a middle-sized provincial city in France, hosted Despiau's first solo French exhibition, which had been organized by George Wildenstein and his magazine Beaux-Arts (and one would have to wait until 1974 for such an event to be repeated one last time in France). Despiau's work was again exhibited in New York (ill. 8) in 1939 (ill. 9), 1942 and 1948, while France continued to ignore it, with the exception of an enlightened elite, who henceforth placed Despiau at the forefront of contemporary creative activity, alongside the sculptors Aristide Maillol, Ossip Zadkine, Emile-Antoine Bourdelle, Pablo Gargallo, Henri Laurens, and Constantin Brancusi.
Charles Despiau's place in the history of art rests alongside these major players in the creation of modern sculpture during the first half of the twentieth century.


text:
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  V5C document reference number (optional)

  An 11 digit number Example: 23583839874
  <input class="form-control" type="text" id="v5c" autocomplete="off" style="border:#ccc solid 2px;width:280px;border-radius:4px;line-height:1.6" size="16" >

        Where to find this?

The reference number is printed on the front of the V5C registration certificate. You should have received this from us shortly after acquiring your vehicle.

    <input type="submit" class="button" value="Continue">

</form>

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Twitter recently rolled out an update to their analytics reporting that reveals organic vs. paid impressions and engagements, as well as a breakdown of the aggregate "click" metric.
For some time now, Twitter has been updating their reporting platforms with marketers in mind. With the advent of the video analytics tab and a few other tweaks to the overall reporting, there are now more ways than just retweets to measure the success of tweets. Updated metrics allow us to see the breakdown of "clicks" that were otherwise only reported in aggregate, so in addition to the classics (follows, retweets, favorites) we can see embedded media clicks, detail expands, link clicks, user profile clicks and clicks on hashtags.
With this new data, marketers can see which types of content are creating the desired engagements. For instance, video cards will obviously be engaged with differently than link posts, but we can see what copy is creating retweets, replies, or even just clicks with these new analytics. This, in turn, will lead to more accurate recommendations and targeting moving forward, potentially allowing for increased engagement rates and decreased CPEs.
So, what does all of this mean for the future of Twitter and engagements? One could surmise that this could potentially lead to other bidding types aside for CPE and lead to bidding for more types of engagements. Perhaps CPM bidding? So go forth and test out the new plethora of data. Set up test campaigns for different metrics and drill down into which engagements are most important to you.