unipy.tools package¶
Module contents¶
Data manipulation tools.
This module provides a number of useful functions for data handling.
data_handler¶
- exc – Get items except the given list.
- splitter – Split data with given size.
- even_chunk – Split data into even size.
- pair_unique – Get Unique pairsets.
- df_pair_unique – Get unique pairsets in pandas.DataFrame.
- merge_csv – Merge seperated csv type datasets into one dataset.
- nancumsum – A cumulative sum function.
- depth – Get dimension depth.
- zero_padder_2d – Zero-padding for fixed-length inputs(2D).
- zero_padder_3d – Zero-padding for fixed-length inputs(3D).
-
unipy.tools.
exc
(source, blacklist)[source]¶ Get items except the given list.
This function splits an Iterable into the given size of multiple chunks. The items of An iterable should be the same type.
Parameters: - source (Iterable) – An Iterable to filter.
- blacklist (Iterable) – A list contains items to eliminate.
Returns: A filtered list.
Return type: See also
Infix Operator
Examples
>>> import unipy as up >>> up.splitter(list(range(10)), how='equal', size=3) [(0, 1, 2, 3), (4, 5, 6), (7, 8, 9)]
>>> up.splitter(list(range(10)), how='remaining', size=3) [(0, 1, 2), (3, 4, 5), (6, 7, 8), (9,)]
-
unipy.tools.
splitter
(iterable, how='equal', size=2)[source]¶ Split data with given size.
This function splits an Iterable into the given size of multiple chunks. The items of An iterable should be the same type.
Parameters: - iterable (Iterable) – An Iterable to split.
- how ({'equal', 'remaining'}) – The method to split. ‘equal’ is to split chunks with the approximate length within the given size. ‘remaining’ is to split chunks with the given size, and the remains are bound as the last chunk.
- size (int) – The number of chunks.
Returns: A list of chunks.
Return type: See also
numpy.array_split()
,itertools.islice()
Examples
>>> import unipy as up >>> up.splitter(list(range(10)), how='equal', size=3) [(0, 1, 2, 3), (4, 5, 6), (7, 8, 9)]
>>> up.splitter(list(range(10)), how='remaining', size=3) [(0, 1, 2), (3, 4, 5), (6, 7, 8), (9,)]
-
unipy.tools.
even_chunk
(iterable, chunk_size, *args, **kwargs)[source]¶ Split data into even size.
This function splits an Iterable into the given size of multiple chunks. The items of An iterable should be the same type.
Parameters: - iterable (Iterable) – An Iterable to split. If N-dimensional, It is chunked by 1st dimension.
- chunk_size (
int
) – The length of each chunks.
Returns: A generator yields a list of chunks. The data type of the elements in a list are equal to the source data type.
Return type: generator
See also
itertools.islice
yield from
Examples
>>> import numpy as np >>> from unipy.tools.data_handler import even_chunk >>> data = list(range(7)) # list, 1D >>> print(data) [0, 1, 2, 3, 4, 5, 6] >>> chunked_gen = even_chunk(data, 3) >>> print(chunked_gen) <generator object even_chunk at 0x7fc4924897d8> >>> next(chunked_gen) [0, 1, 2] >>> chunked = list(even_chunk(data, 3)) >>> print(chunked) [[0, 1, 2], [3, 4, 5], [6]] >>> data = np.arange(30).reshape(-1, 3) # np.ndarray, 2D >>> print(data) array([[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11], [12, 13, 14], [15, 16, 17], [18, 19, 20], [21, 22, 23], [24, 25, 26], [27, 28, 29]]) >>> chunked_gen = even_chunk(data, 4) >>> next(chunked_gen) [array([0, 1, 2]), array([3, 4, 5]), array([6, 7, 8]), array([ 9, 10, 11])] >>> next(chunked_gen) [array([12, 13, 14]), array([15, 16, 17]), array([18, 19, 20]), array([21, 22, 23])] >>> next(chunked_gen) [array([24, 25, 26]), array([27, 28, 29])] >>> next(chunked_gen) Traceback (most recent call last): File "<stdin>", line 1, in <module> StopIteration
-
unipy.tools.
pair_unique
(*args)[source]¶ Get Unique pairsets.
This function gets an unique pair-sets of given data.
Parameters: iterable (Iterable) – Iterables having an equal length. Returns: A list of tuples. Each tuple is an unique pair of values. Return type: list Raises: ValueError
– If the lengths of argments are not equal.See also
zip
set
Examples
>>> from unipy.tools.data_handler import pair_unique >>> data = dm.load('titanic') Dataset : titanic >>> data.head() Class Sex Age Survived Freq 0 1st Male Child No 0 1 2nd Male Child No 0 2 3rd Male Child No 35 3 Crew Male Child No 0 4 1st Female Child No 0 >>> pair_unique(data.iloc[:, 0], data.iloc[:, 1]) [(5, '1st'), (19, '3rd'), (29, '1st'), (20, 'Crew'), (21, '1st'), (3, '3rd'), (16, 'Crew'), (26, '2nd'), (23, '3rd'), (10, '2nd'), (24, 'Crew'), (7, '3rd'), (4, 'Crew'), (27, '3rd'), (18, '2nd'), (28, 'Crew'), (30, '2nd'), (11, '3rd'), (2, '2nd'), (1, '1st'), (14, '2nd'), (31, '3rd'), (22, '2nd'), (17, '1st'), (8, 'Crew'), (9, '1st'), (32, 'Crew'), (15, '3rd'), (6, '2nd'), (12, 'Crew'), (13, '1st'), (25, '1st')] >>> idx1 = [1, 2, 3] >>> idx2 = [0, 9, 8, 4] >>> pair_unique(idx1, idx2) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: All argments should have the same length.
-
unipy.tools.
df_pair_unique
(data_frame, col_list, to_frame=False)[source]¶ Get unique pairsets in pandas.DataFrame.
This function gets an unique pair-sets of given columns.
Parameters: Returns: - list – If to_frame=False, A list of tuples is returned. Each tuple is an unique pair of values.
- pandas.DataFrame – If to_frame=True, pandas.DataFrame is returned. Each row is an unique pair of values.
See also
pandas.DataFrame.itertuples()
Examples
>>> from unipy.tools.data_handler import df_pair_unique >>> data = dm.load('titanic') Dataset : titanic >>> data.head() Class Sex Age Survived Freq 0 1st Male Child No 0 1 2nd Male Child No 0 2 3rd Male Child No 35 3 Crew Male Child No 0 4 1st Female Child No 0 >>> df_pair_unique(data, ['Class', 'Sex']) [('3rd', 'Male'), ('2nd', 'Male'), ('2nd', 'Female'), ('1st', 'Female'), ('Crew', 'Male'), ('1st', 'Male'), ('Crew', 'Female'), ('3rd', 'Female')] >>> df_pair_unique(data, ['Class', 'Sex'], to_frame=True) Class Sex 0 3rd Male 1 2nd Male 2 2nd Female 3 1st Female 4 Crew Male 5 1st Male 6 Crew Female 7 3rd Female
-
unipy.tools.
merge_csv
(file_path, pattern='*.csv', sep=', ', if_save=True, save_name=None, low_memory=True)[source]¶ Merge seperated csv type datasets into one dataset. Summary
This function get separated data files together. When merged, the file is sorted by its name in ascending order.
Parameters: - file_path (str) – A directory path of source files.
- pattern (str) – A File extension with conditional naming. (default: ‘*.csv’)
- sep (int) – A symbol seperating data columns.
- if_save (Boolean (Optional, default: True)) – False if you don’t want to save the result.
- save_name (str) – A filename to save the result. It should be given if if_save=True. If inappropriate name is given, the first name of file list is used.
- low_memory (Boolean (Optional, default: True)) – It is used for pandas.read_csv() option only.
Returns: A concatenated DataFrame.
Return type: pandas.DataFrame
Examples
>>> from unipy.tools.data_handler import merge_csv >>> data = dm.load('titanic') Dataset : titanic >>> data.head(9) Class Sex Age Survived Freq 0 1st Male Child No 0 1 2nd Male Child No 0 2 3rd Male Child No 35 3 Crew Male Child No 0 4 1st Female Child No 0 5 2nd Female Child No 0 6 3rd Female Child No 17 7 Crew Female Child No 0 8 1st Male Adult No 118 >>> data.iloc[:2, :].to_csv('tmp1.csv', header=True, index=False) >>> data.iloc[2:4, :].to_csv('tmp2.csv', header=True, index=False) >>> data.iloc[4:9, :].to_csv('tmp3.csv', header=True, index=False) >>> merged = merge_csv('./') >>> merged Class Sex Age Survived Freq 0 1st Male Child No 0 1 2nd Male Child No 0 2 3rd Male Child No 35 3 Crew Male Child No 0 4 1st Female Child No 0 5 2nd Female Child No 0 6 3rd Female Child No 17 7 Crew Female Child No 0 8 1st Male Adult No 118
-
unipy.tools.
nancumsum
(iterable)[source]¶ A cumulative sum function.
A cumulative sum function.
Parameters: iterable (Iterable) – Iterables to calculate cumulative sum. Yields: int – A cumulative summed value. See also
numpy.isnan()
Examples
>>> from unipy.tools.data_handler import nancumsum >>> tmp = [1, 2, 4] >>> nancumsum(tmp) <generator object nancumsum at 0x1084553b8> >>> list(nancumsum(tmp)) [1, 3, 7]
-
unipy.tools.
depth
(iterable)[source]¶ Get dimension depth.
Get a dimension depth number of a nested iterable.
Parameters: iterable (iterable) – An Iterable to get a dimension depth number. Returns: A dimension depth number. Return type: int See also
collections.Iterable()
Examples
>>> from unipy.tools.data_handler import depth >>> tmp = [(1, 3), (4, 6), (7, 9), (10, 12)] >>> depth(tmp) 2 >>> tmp3d = [[np.arange(i) + i for i in range(2, j)] ... for j in range(5, 10)] >>> depth(tmp3d) 3 >>> # It can handle dict type (considering values only). >>> tmp3d_dict = [{'key' + str(i): np.arange(i) + i for i in range(2, j)} ... for j in range(5, 10)] >>> depth(tmp3d_dict) 3
-
unipy.tools.
zero_padder_2d
(arr, max_len=None, method='backward')[source]¶ Zero-padding for fixed-length inputs(2D).
Zero-padding Function with nested sequence. Each elements of a given sequence is padded fixed-length.
Parameters: - arr (Iterable) – A nested sequence containing 1-Dimensional numpy.ndarray.
- max_len (int (default: None)) – A required fixed-length of each sequences. If None, It calculates the max length of elements as max_len.
- method ({'forward', 'backward'} (default: 'backward')) – where to pad.
Returns: A list containing 3-Dimensional numpy.ndarray with fixed-length 2D.
Return type: See also
unipy.depth()
,numpy.pad()
,numpy.stack()
Examples
>>> from unipy.tools.data_handler import zero_padder_2d >>> tmp = [np.arange(i) + i for i in range(2, 5)] >>> tmp [array([2, 3]), array([3, 4, 5]), array([4, 5, 6, 7])] >>> zero_padder_2d(tmp) array([[2, 3, 0, 0], [3, 4, 5, 0], [4, 5, 6, 7]]) >>> zero_padder_2d(tmp, max_len=6) array([[2, 3, 0, 0, 0, 0], [3, 4, 5, 0, 0, 0], [4, 5, 6, 7, 0, 0]]) >>> zero_padder_2d(tmp, max_len=5, method='forward') array([[0, 0, 0, 2, 3], [0, 0, 3, 4, 5], [0, 4, 5, 6, 7]])
-
unipy.tools.
zero_padder_3d
(arr, max_len=None, method='backward')[source]¶ Zero-padding for fixed-length inputs(3D).
Zero-padding Function with nested sequence. Each elements of a given sequence is padded fixed-length.
Parameters: - arr (Iterable) – A nested sequence containing 2-Dimensional numpy.ndarray.
- max_len (int (default: None)) – A required fixed-length of each sequences. If None, It calculates the max length of elements as max_len.
- method ({'forward', 'backward'} (default: 'backward')) – where to pad.
Returns: A list containing 3-Dimensional numpy.ndarray with fixed-length 2D.
Return type: Raises: ValueError
– All 3D shape of inner numpy.ndarray is not equal.See also
unipy.depth()
,numpy.pad()
,numpy.stack()
Examples
>>> from unipy.tools.data_handler import zero_padder_3d >>> tmp3d = [np.arange(i * 2).reshape(-1, 2) for i in range(1, 5)] >>> tmp3d [array([[0, 1]]), array([[0, 1], [2, 3]]), array([[0, 1], [2, 3], [4, 5]]), array([[0, 1], [2, 3], [4, 5], [6, 7]])] >>> zero_padder_3d(tmp3d) array([[[0, 1], [0, 0], [0, 0], [0, 0]],
- [[0, 1],
- [2, 3], [0, 0], [0, 0]],
- [[0, 1],
- [2, 3], [4, 5], [0, 0]],
- [[0, 1],
- [2, 3], [4, 5], [6, 7]]])
>>> tmp3d_eye [array([[1.]]), array([[1., 0.], [0., 1.]]), array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]]), array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0., 0., 0., 1.]])] >>> zero_padder_3d(tmp3d_eye) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "<stdin>", line 24, in zero_padder_3d ValueError: 3D shape should be equal.


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| 552 | (A) | solde be besy to bere þat one the bent leuyde |
| 554 | (C) | Shulde be bysy to burye . þat oon on banke lafte |
| 548 | (D) | Shold be bysy to bery þat on þe bank lastyn |
| 540 | (E) | þer myȝt non hors bere . þat in þe feeld lafte . |
| (Ex) | ---- no text ---- | |
| 569 | (L) | scholde be busy to burie þat on a bent lafte |
| (P) | ---- no text ---- | |
| 547 | (U) | Shuld be bisy to bury / that on a bank lafte |
| (V) | ---- no text ---- |


{{ title }}
title = await meth2(title))" class="button">swap title = await meth3(title))" class="button">swap swapWe can have a state in Python which is a counter "i". The Python side automatically adds 3 to the counter every few seconds.
That state is automatically useable and synchronized in the browser (in Vue.js):
- It can be used to print, e.g.: i = {{ i }} and i² = {{ i*i }}
- Or as the model for a text field that can be modified, e.g.,
- Or as the value for a read only element, e.g.,
- using computed properties (on the Python side): i² = {{ i2 }}
- using computed properties (on the Javascript side): i² = {{ i2_injs }}
- or, for very specific cases, using a "watch" (in Python here): i² = {{ i2_withwatch }}
We can call python methods transparently, as with the following buttons/links. Here, these buttons are created from a list of strings which is part of the application state (to illustrate lists and loops). The first button increments the counter "i".
run {{cmd}}
Here is a button that modifies the list of buttons, as a test... +clone


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A Fitness tracker interactive app. Has user authentication, relational database
that stores all of the user's caloric intake and expenditures. Uses natural language interface for users to search
and log food and exercises. Tracks daily excess and deficit as well as macronutrients, displaying them on visual graphs
for better user experience.


| Part 1: |
Part 1a: Create a webpage that contains a script, using the for statement, that calculates the product and sum of every third integer from 5 to 20 inclusive and then displays the results, along with some accompanying text.
(Note: You should print a line that contains the result of 5 * 8 * 11 * 14 * 17 * 20 and a second line that contains the result of 5 + 8 + 11 + 14 + 17 + 20).
Part 1b: On the same webpage as Part 1a, create a script, using the while or do while statement, that calculates the product and sum of every fourth integer from 3 to 31 inclusive and then displays the results, along with some accompanying text.
(Note: You should print a line that contains the result of 3 * 7 * 11 * 15 * 19 * 23 * 27 * 31 and a second line that contains the result of 3 + 7 + 11 + 15 + 19 + 23 + 27 + 31).
Use jQuery UI to allow the user to drag an element to a specific area of the page. |
| Part 2: |
Create a webpage that contains a script that will determine the gross pay for each of six employees. The company pays "straight time" for the first 40 hours worked by each employee and pays "time and a half" for all hours worked in excess of 40 hours. You are given a list of the employees of the company, the number of hours worked last week and the hourly rate of each employee. Your script should input this information for each employee, determine the employee's gross pay and then displays the employee's gross pay. Be sure to round the outputted results to 2 decimal places. You should also check for valid input and right-justify all amounts. Use form text boxes to input the data. |
| Part 3: |
Create a webpage that contains a script that will calculate compound interest on a principal of $1000 for interest rates of 5, 6, 7, 8, 9, and 10%, for years 1 through 10. The formula to use is :
P is the principal (the initial amount you borrow or deposit)
r is the annual rate of interest (percentage)
n is the number of years the amount is deposited
A is the amount of money accumulated after n years, including interest
A = P(1 + r)n
Output in table format the year followed by the total amount calculated for each of the interest rates of 5% - 10%. (Be sure to include cents.) Your 3rd column should contain the corresponding interest rate.
|
| Part 4: |
A mail-order house sells five different products whose retail prices are as follows: product 1, $2.98, product 2, $4.50, product 3, $9.98, product 4, $4.49, product 5, $6.87. Create a webpage that contains a script that inputs the following:
a) Product number (1 through 5)
b) Quantity sold for that product - (for the week)
Your script should use a switch statement to help determine the retail price for each product and should calculate and display the retail amount for each product and the total retail amount of all the products sold last week. Use form input boxes to obtain the product numbers (hard coded as 1-5) and the quantity sold for each product from the user.
|
| Part 5 |
Create a webpage that contains a script that uses a form text box for one of three different list formats. Use jQuery to show/hide instructions and validate input data. Use the following to determine which format is desired. Your script should use a switch statement to help determine this.
1 - unordered list
2 - ordered number list
3 - ordered letter list
After determining which list format has been chosen, write an appropriate header line and then use a for statement to write 3 lines in the chosen list format.
|
| Part 6 |
Create a webpage that contains a script that uses repetition and switch statements to print the song "The Twelve Days of Christmas". One switch statement should be used to print the day (i.e., "First," "Second," etc.). A separate switch statement should be used to print the remainder of each verse. Use jQuery to add some animation to the page using a christmas image.
|
| Extra Credit |
Create a webpage that contains a script that reads in the size of the side of a square and displays a hollow square of that size constructed of asterisks. Your script should work for squares of all side sizes between 2 and 10. Display an error message if the user enters any number that is not between 2 and 10. Be sure that the output looks like a square. A common error is having the top and bottom row of asterisks appear to be smaller than the sides.
|


Data screening is an important first step of any statistical analysis. dataMaid auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset.
| Version: | 1.2.0 |
| Depends: | ggplot2 |
| Imports: | DT, gridExtra, haven, htmltools, magrittr, methods, pander, robustbase (≥ 0.93-2), stringi, whoami |
| Suggests: | knitr, rmarkdown (≥ 1.10), testthat |
| Published: | 2018-10-03 |
| Author: | Anne Helby Petersen [aut], Claus Thorn Ekstrøm [aut, cre] |
| Maintainer: | Claus Thorn Ekstrøm <ekstrom at sund.ku.dk> |
| BugReports: | https://github.com/ekstroem/dataMaid/issues |
| License: | GPL-2 |
| URL: | https://github.com/ekstroem/dataMaid |
| NeedsCompilation: | no |
| CRAN checks: | dataMaid results |
| Reference manual: | dataMaid.pdf |
| Vignettes: |
Extending dataMaid |
| Package source: | dataMaid_1.2.0.tar.gz |
| Windows binaries: | r-devel: dataMaid_1.2.0.zip, r-release: dataMaid_1.2.0.zip, r-oldrel: dataMaid_1.2.0.zip |
| OS X binaries: | r-release: dataMaid_1.2.0.tgz, r-oldrel: dataMaid_1.1.2.tgz |
| Old sources: | dataMaid archive |
Please use the canonical form https://CRAN.R-project.org/package=dataMaid to link to this page.


Settings is one of the pathetic things in Django framework as it includes providing paths for almost all things like database, staticfiles,templates and other settings too. There are many ways to handle settings in django. When you start a project you get a settings.py file in your project name directory. But once you configured settings for production environment then you can't test your app locally. That sounds wiered. Right? So there is what I did to resolve this problem. Instead of having settings.py file(which is provided with the start of project) I have created a settings folder which contains base.py,local.py and production.py in it. You can see my project on link The basic Idea behind this is that we put the basic settings which we will gonna use in both local and production server in base.py and will import base.py in both local.py and production.py
BASE.PY :-
It will basically gonna include the settings of SECRET_KEY, PATH_CONFIGURATIONS, INSTALLED_APPS, MIDDLEWARE_CLASSES, EMAIL_SETTINGS and many more according to your project.
LOCAL.PY :-
It will first of all gonna import the base.py file so that we don't have to set settings for things which were included in base.py. Now we will configure our DATABASE here and DEBUG = TRUE for local settings. You can also add debug_toolbar in your installed app and debug_toolbar.middleware.DebugToolbarMiddleware in your middleware classes and if you want to activate your debug_toolbar in local enviornment you have to modify your main urls.py file by adding :- import debug_toolbar if settings.DEBUG: urlpatterns += patterns('', url(r'^__debug__/', include(debug_toolbar.urls)), ) This will gonna include a debug_toolbar for your local app running so that it will help you in debugging your errors.
PRODUCTION.PY:-
It will also first of all gonna import base.py. Then we will configure our DATABASE for our production environment and DEBUG = FALSE is compulsory. Then just follow the settings instruction from which you are deploying your app. IMPORTANT :- As you are making a settings folder instead of settings.py you must include __init__.py inside the settings folder so that it will show that there is some python stuff inside the folder. To run the app in local environment just run python manage.py runserver --settings=mysite.settings.local in the terminal. To run the app in production enviornment just run :- python manage.py runserver --settings=mysite.settings.production in the terminal. Hope this will gonna help you as its good to work with same settings for production and local. Cheers!!


"I am living overseas and come here to study. I speak English but I am not fluent yet and sometimes I find it difficult to keep up. I really need extra help in the holidays. I like Vintage University E-Leraning Platform as the tutors are patient and helpful. They don’t mind if I am a little slow and they make it easier for me to go over my work to understand it."
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Michelle Davis
"I work in a high stress, late hours culture and I’m not always around to answer questions or check homework.I need a service I can trust - easy and convenient to manage and the pay as you go pricing approach is excellent. Vintage University E-tutoring platform gives me peace of mind."


Reports multiple occurrences of the same expression within a method, constructor, or class initializer.
New in 2018.3


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ROUNDERS (1998)
A film review by Steve Kong Edited by Cher Johnson Copyright 1998 Steve Kong
If Martha Stewart were to make Rounders, here's how she would do it. She would take one serving of the movie Rocky. From that she'd take out Sylvester Stalone, not cute enough for her. She'd also take out the boxing, too violent for her. Then she'd add Matt Damon in place of Sylvester Stalone, cute to her. Also she'd change boxing to poker. To make the film a bit more attractive, we add some sugar and spice, Famke Janssen (GoldenEye) and newcomer Gretchen Mol. Stir until there are no lumps, bake for two hours, take out of the oven and let cool for another ten minutes.
Rounders, though it doesn't seem like it at first, is a typical sports film. The protagonist, Mike McDermott (Damon), opens the film losing everything he has to a master poker player, Teddy KGB (John Malkovich). He then falls into a state of acceptance that what he'd done was all wrong. That is, until some external force, this time a character named Worm (Edward Norton), brings the protagonist back into the fringes of the sport. In Rounders, it's poker, where he must go through an uphill battle to try to regain his confidence in the sport. And in a typical sports film, in order for the protagonist to regain his confidence he needs to face the person he lost it all to in the beginning of the film.
Rounders shows us where real poker is played. Real poker is not played in the glitzy casinos. No, real poker is played in smoky black rooms. Real poker players can figure out what the other players's hands are doing just by watching their reaction as they get their cards. Real poker is a game where you can lose everything you have in a hand.
As formulaic as Rounders sounds, it's quite a good character study of the two main characters, McDermott and Worm. McDermott is the guy who thinks that he's escaped the draw and glitter of poker but really hasn't. Worm is the risk-taking self-destructive character who could win it all straight, but still cheats to win just for the thrill.
Damon, who seems almost typecast as the "smart normal guy" plays McDermott not too differently than he did with Will Hunting (Good Will Hunting). Which is not a bad thing, especially for Rounders. We feel for McDermott as he gets dragged deeper and deeper into the underground poker rooms.
Norton, who was brilliant in Primal Fear, turns up another great performance in Rounders. He plays his character Worm as an unpredictable, self-loving, and self-destructive person who will risk even his life for a thrill.
Newcomer Gretchen Mol isn't given much to do. She gets relegated to the role of the whiny girlfriend who lives in a boring - and unneeded - melodramatic subplot. Also the beautiful Famke Janssen is also given nothing to do but to smile and walk around in alluring dresses.
Worth mentioning is John Malkovich as Teddy KGB. Malkovich is just fun to watch.  Malkovich, like his Teddy KGB, likes to use his Russian accent. He takes his Russian accent and slowly chews on it and enjoys it. Malkovich steals the screen.
Director John Dahl keeps Rounders from sliding into boring seriousness by slipping in some funny moments throughout the film. The humor keeps the film moving. I loved how the poker players hit the casinos and play against unsuspecting tourists. At the casinos, none of them are playing as allies, but they still end up taking money from the tourists like candy from a baby.
The ending to Rounders is not hard to guess, especially given what kind of film Rounders is. And it is the predictability of the film that makes it a bit hard to sit through its running time. I wish the writers and film makers would have taken a chance, a risk, like the poker players, and put in a ending worthy of the film. I recommend Rounders if you have a spare two hours to spend.
--- Steve Kong<EMAIL_ADDRESS>reviews from a guy who loves the cinema http://boiled.sbay.org/boiled/ it's for you.
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nips nips2002 nips2002-144 nips2002-144-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Jun Morimoto, Christopher G. Atkeson
Abstract: We developed a robust control policy design method in high-dimensional state space by using differential dynamic programming with a minimax criterion. As an example, we applied our method to a simulated ﬁve link biped robot. The results show lower joint torques from the optimal control policy compared to a hand-tuned PD servo controller. Results also show that the simulated biped robot can successfully walk with unknown disturbances that cause controllers generated by standard differential dynamic programming and the hand-tuned PD servo to fail. Learning to compensate for modeling error and previously unknown disturbances in conjunction with robust control design is also demonstrated.
[1] S. P. Coraluppi and S. I. Marcus. Risk-Sensitive and Minmax Control of Discrete-Time Finite-State Markov Decision Processes. Automatica, 35:301–309, 1999.
[2] P. Dyer and S. R. McReynolds. The Computation and Theory of Optimal Control. Academic Press, New York, NY, 1970.
[3] Y. Hurmuzlu and D. B. Marghitu. Rigid body collisions of planar kinematic chains with multiple contact points. International Journal of Robotics Research, 13(1):82– 92, 1994.
[4] D. H. Jacobson and D. Q. Mayne. Differential Dynamic Programming. Elsevier, New York, NY, 1970.
[5] J. Morimoto and K. Doya. Robust Reinforcement Learning. In Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, editors, Advances in Neural Information Processing Systems 13, pages 1061–1067. MIT Press, Cambridge, MA, 2001.
[6] R. Neuneier and O. Mihatsch. Risk Sensitive Reinforcement Learning. In M. S. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances in Neural Information Processing Systems 11, pages 1031–1037. MIT Press, Cambridge, MA, USA, 1998.
[7] S. Schaal and C. G. Atkeson. Constructive incremental learning from only local information. Neural Computation, 10(8):2047–2084, 1998.
[8] R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. The MIT Press, Cambridge, MA, 1998.
[9] K. Zhou, J. C. Doyle, and K. Glover. Robust Optimal Control. PRENTICE HALL, New Jersey, 1996.


{% capture roadmap-p1-ru %}{% include roadmap/roadmap-p1-ru.md %}{% endcapture %}{{ roadmap-p1-ru | markdownify }}
{% capture roadmap-p2-ru %}{% include roadmap/roadmap-p2-ru.md %}{% endcapture %}{{ roadmap-p2-ru | markdownify }}
{% capture roadmap-p3-ru %}{% include roadmap/roadmap-p3-ru.md %}{% endcapture %}{{ roadmap-p3-ru | markdownify }}
{% capture roadmap-p4-ru %}{% include roadmap/roadmap-p4-ru.md %}{% endcapture %}{{ roadmap-p4-ru | markdownify }}


Black Coral
Black Coral collections have bold prints, airy silhouettes and dress brave, independent, aware women. This idea gave rise to one of the brand's symbols: a colour-changing, shaded cloud that recalls the Black Coral woman - always on the move, with some kind of lightness that is not only suitable for her clothes, but also for her personality. Black Coral is synonymous with a life discovered in its entirety.
Live to the full.
Black Coral
Black Coral collections have bold prints, airy silhouettes and dress brave, independent, aware women. This idea gave rise to one of the brand's symbols: a colour-changing, shaded cloud that recalls the Black Coral woman - always on the move, with some kind of lightness that is not only suitable for her clothes, but also for her personality. Black Coral is synonymous with a life discovered in its entirety.
Live to the full.


This package defines the classes and interfaces necessary to perform Drag and Drop operations in Java. It defines classes for the drag-source and the drop-target, as well as events for transferring the data being dragged. This package also provides a means for giving visual feedback to the user throughout the duration of the Drag and Drop operation.
A typical Drag and Drop operation can be decomposed into the following states (not entirely sequentially):
DragSource
comes into existence,
associated with some presentation
element (Component
) in the GUI, to initiate a Drag and Drop of
some potentially Transferable
data.
DropTarget
(s) come into/go out of
existence, associated
with presentation elements in the GUI (Components), potentially
capable of consuming Transferable
data types.
DragGestureRecognizer
is
obtained from the DragSource
and is
associated with a Component
in order
to track and identify any Drag
initiating gesture by the user over the Component
.
Component
,
which the registered
DragGestureRecognizer
detects, and notifies its
DragGestureListener
of.
Note: Although this API consistently refers to the stimulus for a
drag and drop operation being a physical gesture by a human user, this
does not preclude a programmatically driven DnD operation given the
appropriate implementation of a DragSource
. This package
contains the abstract class MouseDragGestureRecognizer
for
recognizing mouse device gestures. Other abstract subclasses may be
provided by the platform to support other input devices or
particular Component
class semantics.
DragGestureListener
causes the
DragSource
to initiate the Drag
and Drop operation on behalf of the user, perhaps animating the
GUI Cursor and/or rendering an Image
of the item(s) that are the
subject of the operation.
Component
(s)
in the GUI with
associated DropTarget
(s), the DragSource
receives notifications in order
to provide "Drag Over" feedback effects, and the DropTarget
(s)
receive notifications in order to provide "Drag Under" feedback effects
based upon the operation(s) supported and the data type(s) involved.
The gesture itself moves a logical cursor across the GUI hierarchy,
intersecting the geometry of GUI Component(s), possibly resulting in
the logical "Drag" cursor entering, crossing, and subsequently
leaving Component
(s) and associated DropTarget
(s).
The DragSource
object manifests "Drag Over" feedback to the user, in the typical case by animating the GUI Cursor
associated with the
logical cursor.
DropTarget
objects manifest "Drag Under" feedback to the user, in
the typical case, by rendering animations into their associated GUI
Component
(s) under the GUI Cursor.
The determination of the feedback effects, and the ultimate success or failure of the data transfer, should one occur, is parameterized as follows:
DragSource
and DropTarget
: Copy, Move or Reference(link).
DragSource
and the set of data types comprehensible by the
DropTarget
.
DragSource
and DropTarget
receive
notifications that include, and result in the type negotiation and
transfer of, the information associated with the DragSource
via a
Transferable
object.


About me:
My name is Adam.
I'm 32 years old.
I have just returned to Portland after being gone for four years. I studied Linguistic Anthropology at university and have been working at various multinationals in logistics or as a tutor.
I speak English, Russian, and some Czech.
London is the capital of the Russian Federation. It is a city of over 13 million people, but could be as high as 20 million, making it one of the most populated cities on Earth and most northern Megacity. The city has the third most used subway system in the world.
Besides being a the capital of Japan, Tokyo has the most used subway in the world. The entire metropolitan area contains some 40 millon inhabitants, making it probably the most populated city on Earth.
Yerevan was founded in the 8th century B.C. and is known for its grand Soviet architecture. It is a small city of 1 million inhabitants and has a beautiful, albeit much smaller metro the mimics the style of its larger cousin in Moscow.
The Bay Area of which Oakland is a part of the Bay Area which has a combined population of 7 million people. It is the city with the largest African-American community by proportion outside of the American South.


H.B. Woodrose & Herbal Cigarettes
| DOSE: |
7 seeds |
oral |
H.B. Woodrose |
(liquid) |
| |
repeated |
smoked |
Various |
(plant material) |
I have done LSD and MDMA more times than I can remember and have never had a bad experience with either. Oh, and my mind is still here. I'm a junior in medical technology and was a meteorologist for four years. I am a naturally happy guy, so thats how my trips, rolls, and trollings go. I will injest 7 (lucky 7 for the first time) HBWR seeds partially crushed soaked in CoolAid for app. 30 min.
5:30 p.m. Ate four hours ago at Mickey D's. Will use smokes and herbs for possible nausea or other problems. 1 min till injestion and I'm off. That 70's show is starting so I should have some good laughs prior to impact of anything. Always a good thing. I also have a dog. Pets are the best when tripping. Always make me happy. All seven are down. Chewed them up good and washed down with more coolaid. Getting glass pipe and bowl ready with legal herbs. Going with Vision Quest herbal smoke. 3/4 pack of cigs, all set.
6:00 p.m. Nothing much yet. Still way too soon. Most things take around 1 hr to fully start kicking in for me so I'm good. No nausea or any problems like that yet. Feels like something is coming on, but still not for sure. Would also like to say its been over two years since I have done XTC or acid. So don't remember some of the feelings. But, an upset stomach usually meant some good stuff. Still not upset much at all. Think I'm starting to feel some effects. A little faster than expected. May just be excitement of trying the first time still.
6:30 p.m. Definitely feeling the body high. No signs of puking or wanting to. Just the average stomach saying get ready for this. May skip a few hours or something if I get caught up with something else. But, generally a very good comfortable feeling right now. Similar to coming up on XTC. This stuff seems to be really good. No sickness or anything. Great body high right now. Gonna start some incents and will check back soon. I'm gonna grow some of these. They seem great. I'm walking really slow, so I know this is some good stuff.
7:10 p.m. Wow, this stuff is good. All body right now. Almost identical to XTC. Decided to watch Dazed and Confused for the music and stuff. Great choice with my surround sound. Not once did I feel like throwing up or anything like that. Starting to feel somewhat incitefull like if on acid. But, not going to say anything like that yet. We will see where it leads. Mind is starting to work faster than fingers. That's always a good thing. Wow, body feels like jello. Walking is just a blast. Very slow, drawn out walks are the best feeling. Got my Pink Floyd Cd's lade out and ready once movie ends. If I can wait that long:)
7:30 p.m. Having to type slow here. Walking around the house is awsome. Still no visuals. Looked in mirror and pupals dialated. Believe me, if I had visuals, I would still be at the mirror. That was the coolest thing with acid. But, this is awsome for legal. Very awsome. Going to try some herb and see if that helps anything. This is great stuff alone. Damn. Damn. What can I say but, Damn! Everything I pick up feels weightless. But, throwing is chore let me tell ya. Dog wanted to play fetch and tug of war, didn't happen LOL. Smoking some Vision Quest herb was great. Great taste and aroma, much better than cigs. Although all drugs require cigs to get the good effects in my opinion. Wow, what I would do for a full body message. That would be ecstacy! Music is great at this point. This is becoming a long report. Maybe I should just right a book on this. Just joking LOL.
8:11 p.m. This will be the last update for awhile. I'm just going to truly enjoy this great feeling. Queen is a great choice of music right now. Music is very enhanced. I know its louder than I think right now. But the vibes are great. A truly wonderful natural high. This is almost like trolling (mixing LSD and MDMA). Still no amazing visuals. But, I feel this is only the beginning of something great.
9:15 p.m. This stuff is great. Pretty good trailers, and visuals seem to be really starting to increase. Overall the body high almost identical to acid. Music and sounds are truly enhanced. Even more amazing, my dog seems to be feeding off my high. Has an unusual amount of energy for this late at night. Very enhanced taste and smell much like acid. I'm not getting that dehydration feel most get. If anything, I feel I don't want anything to drink. Got some gatorade and drank some of it just to give me a little something. Don't want to dehydrate. That would be bad. WOW. this stuff is amazing for being legal. Maybe its just been awhile since I felt this good or something. I'm not for sure. But, WOW!
Time seems to be standing still. That is so great. Visuals really starting to kick in good. Why does it seem you only post the bad trips. This stuff is great. Now the feeling is almost identical to LSD. Wow, it's been awhile! this is great. I'm so happy I tried this. There is one odd thing. Stomach seems to want food, but I don't. Wierd.
12:15 Still having a great trip. Installing Tony Hawk 2 to play. We use to play that for hours on the PS1. So this should be fun. This stuff is truly an amazing substance. No hard peek or anything and seem to feel a little drained but still have very much in state of tripping. Very enjoyable and fulfilled with this product. This has to be the closest thing to the real LSD I have ever heard of. During all my days with X and LSD, I don't ever recall hearing about HBWR. Just ran across a few things on the internet looking up MJ substitutes. I feel this is a very underated product. I was not expecting to be tripping this hard this steady at such a great state of mind. Have seen very good visuals. Looked into a light outside while walking the dog and the light stayed with me for about 5 minutes and I could see a green face in the middle of the light that was following me. Very wierd but very very cool. Had a hot pocket to eat and feel very satisfied and no problems what so ever.
1:30 Starting to come down. Very smooth comedown. May just go lay down. I feel it will be very good to just relax a bit.  But, still feel great so thats fine with me.
2:00 Went to sleep fine with no problems. Laid down and just relaxed for about 30-45 minutes and then I was out like a light. I have been very impressed with this. Comedown was much smother than X and close to that of LSD but much slower. Very, very impressive product.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.