anuran package¶
Submodules¶
anuran.centrality module¶
The functions in this module calculate intersections or differences of networks. The first function is a wrapper that subsamples networks from a list of null models to output a dataframe of set sizes.
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anuran.centrality.
generate_ci_frame
(networks, random, degree, fractions, prev, perm, core)¶ This function estimates centralities from all networks provided in the network, random and degree lists. The random and degree lists are structured as follows: —List corresponding to each original network (length networks)
—List of permutations per original network (length n in generate_null)The core list is structured as follows: —List of all shared fractions (length fractions)
- —List corresponding to core prevalence(length core)
- —List of permutations per original network (length networks)
The function returns a pandas dataframe with the size of the intersection, the type of model and the shared fraction as a separate column. The length of the dataset is equal to the number of original networks, the number of permuted sets for the random models and the number of permuted sets for the degree-preserving model.
‘None’ values reflect that the species in question was not found in a network.
Parameters: - networks – List of input networks
- random – Dictionary with permuted input networks without preserved degree distribution
- degree – Dictionary with permuted input networks with preserved degree distribution
- fractions – List with fractions of shared interactions
- prev – List with prevalence of shared interactions
- perm – Number of sets to take from null models
- core – Number of processor cores
Returns: List of lists with set sizes
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anuran.centrality.
generate_confidence_interval
(ranking)¶ Given a list with centrality rankings calculated from multiple networks, this function calculates the confidence interval.
Parameters: ranking – List of centrality rankings for each network Returns: Dictionary with nodes as keys and tuples of confidence intervals as values
anuran.draw module¶
The functions in this module visualize set sizes and other anuran outputs. Draw_sets visualizes the set sizes of the null models and original networks. Draw_samples shows the distribution of set sizes as the number of networks increases, for both null models and the input networks. Draw_centralities plots the upper limit of the confidence interval against the lower limit. Draw_graphs shows the graph properties for each of the networks used by anuran.
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anuran.draw.
draw_centralities
(data, fp)¶ This function accepts a pandas dataframe with 5 columns: Node, Network, Network type, Conserved fraction, Centrality, Upper limit, Lower limit For every centrality a scatter plot is generated with the upper- and lower limits on the x and y axes respectively.
Parameters: - data – Pandas data frame
- fp – Filepath with prefix for name
Returns:
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anuran.draw.
draw_graphs
(data, fp)¶ This function accepts a pandas dataframe with 5 columns: Network, Name, Group, Network type, Conserved fraction, Property, Value
Parameters: - data – Pandas data frame
- fp – Filepath with prefix for name
Returns:
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anuran.draw.
draw_samples
(data, fp)¶ This function accepts a pandas dataframe with 6 columns: Network, Network type, Conserved fraction, Set type, Set size For every combination of set type a faceted box and whiskers plot is generated that visualizes the distribution of set sizes per network type.
Parameters: - data – Pandas data frame
- fp – Filepath with prefix for name
Returns:
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anuran.draw.
draw_set_differences
(data, fp)¶ This function accepts a pandas dataframe with 4 columns: Interval, Set size, Group, Network. The interval is the difference of the intersections.
The interval is the median for the null model networks.
The function writes a bar plot of the intervals to path.
Parameters: - data –
- fp –
Returns:
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anuran.draw.
draw_sets
(data, fp)¶ This function accepts a pandas dataframe with 5 columns: Network, Network type, Conserved fraction, Set type, Set size For every combination of set type a faceted box and whiskers plot is generated that visualizes the distribution of set sizes per network type.
Parameters: - data – Pandas data frame
- fp – Filepath with prefix for name
Returns:
anuran.graphvals module¶
The functions in this module calculate different graph-level properties.
The first function is a wrapper that subsamples networks from a list of null models to output a dataframe of set sizes.
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anuran.graphvals.
generate_graph_frame
(networks, random, degree, fractions, core, perm)¶ This function estimates graph-level properties of all networks provided in the network, random and degree lists. The random and degree lists are structured as follows: —List corresponding to each original network (length networks)
—List of permutations per original network (length n in generate_null)The core list is structured as follows: —List of all shared fractions (length fractions)
- —List corresponding to core prevalence(length core)
- —List of permutations per original network (length networks)
The function returns a pandas dataframe with the size of the intersection, the type of model and the shared fraction as a separate column. The length of the dataset is equal to the number of original networks, the number of permuted sets for the random models and the number of permuted sets for the degree-preserving model. :param networks: List of input networks :param random: Dictionary with permuted input networks without preserved degree distribution :param degree: Dictionary with permuted input networks with preserved degree distribution :param fractions: List with fractions of shared interactions :param core: List with prevalence of shared interactions :param perm: Number of sets to take from null models :return: List of lists with set sizes
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anuran.graphvals.
generate_graph_properties
(networks)¶ This function constructs lists with centrality rankings of nodes in multiple networks. Instead of using the absolute degree or betweenness centrality, this takes metric bias into account.
If the graph is not connected, the values are calculated for the largest connected component.
Parameters: networks – List of input networks Returns: Pandas dataframe with rankings
anuran.main module¶
anuran: Null models for replicate networks. The script takes a network as input and uses this to generate null models. The output of the null models is presented as a csv of set sizes and a t-test is used to assess whether set sizes are different than expected from the null model. Detailed explanations are available in the headers of each file.
anuran uses the file extension to import networks. Generation of null models is done on the adjacency matrix for speed; the NetworkX representation is unfortunately slower.
The demo data for anuran was downloaded from the following publication: Meyer, K. M., Memiaghe, H., Korte, L., Kenfack, D., Alonso, A., & Bohannan, B. J. (2018). Why do microbes exhibit weak biogeographic patterns?. The ISME journal, 12(6), 1404.
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anuran.main.
main
()¶
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anuran.main.
model_calcs
(networks, args)¶ Function for generating null models and carrying out calculations. :param networks: Dictionary with folder name as key and values as tuples (name, network object). :param args: Settings for running anuran :return:
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anuran.main.
set_anuran
()¶ This parser gets input settings for running anuran. It requires an input format that can be read by NetworkX. Make sure to include the extension in the input filename as this is used to infer the file type.
anuran.nulls module¶
The null models module contains functions for constructing permutations of input networks. Generation of null models is done on the adjacency matrix for speed; the NetworkX representation is unfortunately slower. The functions can either change (random model) or preserve (degree model) the degree distribution.
The functions in this module also calculate intersections or differences of networks. The first function is a wrapper that subsamples networks from a list of null models to output a dataframe of set sizes.
These functions run operations in parallel. utils.py contains the operations they carry out.
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anuran.nulls.
generate_null
(networks, n, npos, core, fraction=False, prev=False)¶ This function takes a list of networks. For each network, a list with length n is generated, with each item in the list being a permutation of the original network. This is returned as a list of lists with this structure: —List corresponding to each original network (length networks)
—List of permutations per original network (length n)For the positive controls, this list is inverted: —List of permutations across networks (length n)
—List corresponding to a single permuted group of networksTo generate the list through multiprocessing, a dictionary with arguments is generated and provided to a utility function.
Parameters: - networks – List of input NetworkX objects
- n – Number of randomized networks per input network
- npos – Number of positive control randomized networks per group
- core – Number of processor cores
- fraction – Fraction of conserved interactions
- prev – Prevalence of core. If provided, null models have conserved interactions.
Returns: List of lists with randomized networks
anuran.sets module¶
The functions in this module construct Pandas dataframes with set sizes for different operations.
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anuran.sets.
generate_sample_sizes
(networks, random_models, degree_models, sign, core, fractions, prev, perm, sizes, limit, number)¶ This function wraps the the generate_sizes function but it only gives a random subset of the input networks and null models. This shows the effect of increasing sample number on set size.
Parameters: - networks – List of input networks
- random_models – List of permuted input networks without preserved degree distribution
- degree_models – List of permuted input networks with preserved degree distribution
- sign – If true, sets take sign information into account.
- core – Number of processor cores
- fractions – List with fractions of shared interactions
- prev – List with prevalence of shared interactions
- perm – Number of sets to take from null models
- sizes – Size of intersection to calculate. By default 1 (edge should be in all networks).
- limit – Maximum number of resamples.
- number – Sample number to test.
Returns: List of lists with set sizes
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anuran.sets.
generate_size_differences
(data, sizes)¶ Since the intersections are nested, e.g. a 0.9 intersection is always nested inside a 0.5 intersection, we can extract differences of intersections to assess which intersections are relevant. So if we have the 0.9 and the 1 intersection, we know what number of edges belong to that range.
This function takes the dataframe from the generate_sizes function, and calculates the sizes of set of sets (difference of intersections). The difference of intersections is also referred to as the interval.
For the null models, the median set size per interval is returned.
The input dataframe should have the following columns: ‘Conserved fraction’, ‘Group’, ‘Network’, ‘Network type’, ‘Prevalence of conserved fraction’, ‘Samples’, ‘Set size’, ‘Set type’, ‘Set type (absolute)’
The returned dataframe only contains the intersection intervals.
Parameters: - data – Dictionary with permuted input networks without preserved degree distribution
- sizes – Size of intersection to calculate. By default 1 (edge should be in all networks).
Returns: Dataframe with intersection intervals
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anuran.sets.
generate_sizes
(networks, random_models, degree_models, sign, core, fractions, prev, perm, sizes, combos=None)¶ This function carries out set operations on all networks provided in the network, random and degree lists. The random and degree lists are structured as follows: —List corresponding to each original network (length networks)
—List of permutations per original network (length n in generate_null)The core list is structured as follows: —List of all shared fractions (length fractions)
- —List corresponding to core prevalence(length core)
- —List of permutations per original network (length networks)
The function returns a pandas dataframe with the size of the intersection, the type of model and the shared fraction as a separate column. The length of the dataset is equal to the number of original networks, the number of permuted sets for the random models and the number of permuted sets for the degree-preserving model.
Parameters: - networks – List of input networks
- random_models – Dictionary with permuted input networks without preserved degree distribution
- degree_models – Dictionary with permuted input networks with preserved degree distribution
- sign – If true, sets take sign information into account.
- core – Number of processor cores
- fractions – List with fractions of shared interactions
- prev – List with prevalence of shared interactions
- perm – Number of sets to take from null models
- sizes – Size of intersection to calculate. By default 1 (edge should be in all networks).
- combos – Dictionary of networks to combine per network
Returns: List of lists with set sizes
anuran.stats module¶
The functions in this module take previously calculated properties and assesses whether it is likely that there are differences between these properties by reporting p-values.
Three properties can be assessed for significance: 1. Set sizes 2. Centrality scores 3. Graph properties
For all properties, the properties are compared to both the null models and different groups of networks (if included).
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anuran.stats.
compare_centralities
(centralities, mc)¶ The centralities dataframe contains a list of all centrality ranks measured across a group of networks.
The centralities dataframe should have the following columns: Node, Network, Group, Network type, Conserved fraction, Prevalence of conserved fraction, Centrality, Upper limit, Lower limit, Values.
This function carries out a Mann-Whitney test to test whether the ranks are different across the two groups that are being compared. This means that it can compare groups with different n. Consequently, a group is compared to all networks from a specific group. Since it is possible to generate more than one network per original network, this means that it is possible to compare ranks for 6 networks to ranks of 6*10 networks.
Parameters: - centralities – Dataframe with centralities
- mc – Method for multiple-testing correction
Returns: pandas dataframe with p-values for comparisons
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anuran.stats.
compare_graph_properties
(graph_properties)¶ This function takes a dataframe of graph properties. Each graph property is compared to other groups with the Mann-Whitney test.
Takes a pandas dataframe of graph properties with the following columns: Network, Group, Network type, Conserved fraction, Prevalence of conserved fraction, Property, Value.
Parameters: graph_properties – Dataframe with graph properties Returns: pandas dataframe with p-values for comparisons
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anuran.stats.
compare_set_sizes
(set_sizes)¶ This function takes a dataframe of set sizes. Each set size is compared against a group (generated from null models); the p-value is computed by assessing how many standard deviations the set size is outside the distribution calculated from the null models.
The Interval property is the difference of intersections (e.g. Intersection 4 subtracted from Intersection 2).
Only the random and degree models, without a core, are likely to follow a normal distribution and therefore meet conditions for this test.
Takes a pandas dataframe of set sizes with the following columns: Network, Group, Network type, Conserved fraction, Prevalence of conserved fraction, Set type, Set size, Set type (absolute)
The :param set_sizes: Dataframe with set sizes :return: pandas dataframe with p-values for comparisons
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anuran.stats.
correlate_centralities
(group, centralities, mc)¶ Returns correlations for ordered networks and compares these to the null model correlations. The function returns a dataframe comparing correlations in the ordered networks and their randomized versions.
The centralities dataframe should have the following columns: Node, Network, Group, Network type, Conserved fraction, Prevalence of conserved fraction, Centrality, Upper limit, Lower limit, Values.
Parameters: - group – name of grouped networks
- centralities – Dataframe with centralities
- mc – multiple-testing correction
Returns: Dataframe of correlations
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anuran.stats.
correlate_graph_properties
(group, graph_properties)¶ Returns correlations for ordered networks and compares these to the null model correlations. The function returns a dataframe comparing correlations in the ordered networks and their randomized versions.
Takes a pandas dataframe of graph properties with the following columns: Network, Group, Network type, Conserved fraction, Prevalence of conserved fraction, Property, Value.
Parameters: - group – name of grouped networks
- graph_properties – Dataframe with graph properties
Returns: Dataframe of correlations
anuran.utils module¶
The utils module contains functions used by other modules for multiprocessing.


'DEEP REGRET'
Milly Main death – Glasgow health board ‘sorry’ and admits communication not good enough after girl’s death ‘covered up’
by Blair MeikleA HEALTH board has admitted their communication with families has not been good enough after being accused of covering up the death of a 10-year-old girl at Glasgow's superhospital.
NHS Greater Glasgow and Clyde has apologised to the family of cancer patient Milly Main who died after contracting a bug while at Queen Elizabeth University Hospital.
The apology comes after Health Secretary Jeane Freeman slammed the health board and admitted Milly's death may have been as a result of contaminated water.
As well as saying sorry, they also say they are working on how to improve communication in the future.
A spokesman for NHSGCC said: "We completely understand that this has been a distressing time for families and our staff and we apologise for the anxiety caused.
“Our communication with families and parents has not been good enough and we deeply regret this.
“We continue to take steps to improve communications and to answer questions openly and truthfully.
"We are also working with Professor Craig White to develop better ways of engaging with families.
“There are clearly lessons for this Board to learn and we are committed to making the necessary improvements.”
Meanwhile, Nicola Sturgeon has pledged to leave 'no stone unturned' in helping the family get answers.
Speaking at First Minister's Questions, she also said there was a "strong case" for the health board to be put into "special measures".
Freeman's blast came after she was forced to make an apology at Holyrood, where she also brought up concerns raised by other patients.
She branded the health board's handling of the situation 'appalling' and blasted them for criticising the whistleblower who exposed the scandal.
The source claimed Milly died after contracting an infection from dirty water at the hospital - one of 25 who had picked up the bug.
A probe was launched but never made public by NHSGCC.
Milly's mum Kimberly Darroch said she felt "let down and lied to" and "100 per cent convinced" that he daughter was killed by contaminated water.
Freeman told the Daily Record: "There is no excuse for Milly’s parents not to have been given the full information at the time when their child died.
“I don’t believe people are wilfully intending to cause more pain and upset to others, but their actions, or their failure to act, clearly in this instance, absolutely do.”
The health board previously admitted Milly contracted a bug, but said there was no proof it came from the hospital.
But Freeman added: "That’s not really helpful to Milly’s mum, and it is reasonable that, knowing what she knows now, that she would suspect that it came from the water in the hospital.”
Asked whether she suspected Milly’s infection had come from the QEUH, Freeman said: “I don’t know, but given what we know about levels of water borne infections in and around the period that I know of, which is 2018….then I think it is a reasonable position to take that it could have come from the hospital.”
She also urged them to make the findings of the investigation public, adding: “First of all, why did we not know? Secondly, what does it say? Give us it.
"Let’s see that information in full. And thirdly, what did you do when you got that information?”
On the criticism of the whistleblower, she said: "I thought that was appalling. That’s why in the statement I made today in Parliament I said whistleblowers should not be publicly or privately criticised.
"I think the board have moved away from that position in recent days, but nonetheless that doesn’t mean that what they initially said in their comments is the least bit acceptable, because it is not.”


The value of data-dependant variables is defined separately for each word or constituent that is being searched.
Data-dependent variables can be of any kind, e.g.: boolean, string, constituent.
Provide the names and descriptions of the data-dependant variables here below.
Make sure they are defined in the right order: any variable can only make use of other variables that are above it.


Cookie recipeThis project helped me understand how to fork a project from the Git hub. The languages used: HMTL and CSS link. |
My-first-web pageThis is web application, for my first web page. The languages used: HMTL and CSS link. |
Portfolio-landing-pageThis is a Landing Page for my Portfolio. The languages used: HMTL and CSS link. |
I am a graduate student from Kabarak University in the School of Education, department of arts. I was passionate about Networking, Coding and programming and enrolled myself in Cisco Academy,Routing and Networking and was certified CCNA 1&2.
Our modern society requires one to be diverse in nature and be able to do different things without any difficulty. Currently am looking for new career opportunities my current job position cannot provide.
I am someone who likes new experience in life and Moringa School presented this opportunity for me where i can learn and gain new skills.


Pipeline for processing ChIP-seq sequence reads to identify regions of DNA-protein interactions. Sequences are aligned to the genomic sequence using BWA, BioBamBam2 is used to filter out experimental artifacts and MACS2 is used for the analysis of the alignments to identify regions of DNA-protein interaction.


- main(String[]) - Static method in class fr.ecp.is1220.MyFoodora.MyFoodoraClient
-
- MainDish - Class in fr.ecp.is1220.MyFoodora
-
- MainDish(String, double, String) - Constructor for class fr.ecp.is1220.MyFoodora.MainDish
-
- Manager - Class in fr.ecp.is1220.MyFoodora
-
- Manager(String, String, String, String, MyFoodora) - Constructor for class fr.ecp.is1220.MyFoodora.Manager
-
creates a manager who will manage the MyFoodora platform
- maxFoodItem(ArrayList<FoodItem>) - Method in class fr.ecp.is1220.MyFoodora.SorterCounter
-
looks over the list of foodItems looking for the biggest counter
- maxFoodItem(ArrayList<FoodItem>) - Method in class fr.ecp.is1220.MyFoodora.SorterPrice
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looks over the list of foodItems looking for the biggest price
- Meal - Class in fr.ecp.is1220.MyFoodora
-
- Meal(String) - Constructor for class fr.ecp.is1220.MyFoodora.Meal
-
creates a Meal object of a given mainDish
- Meal(String, MainDish) - Constructor for class fr.ecp.is1220.MyFoodora.Meal
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creates a Meal object of a given mainDish
- MealVisitor - Class in fr.ecp.is1220.MyFoodora
-
this visitor pattern enables us to deal with different implementation of
computePrice
addDish
- MealVisitor() - Constructor for class fr.ecp.is1220.MyFoodora.MealVisitor
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- meetTargetProfit(String, double) - Method in class fr.ecp.is1220.MyFoodora.Manager
-
compute the value of the profit related information (service fee, markup percentage or delivery cost) to meet a target profit
- meetTargetProfit(MyFoodora, double) - Method in interface fr.ecp.is1220.MyFoodora.TargetProfitPolicy
-
compute the value of one of the profit related information (service fee, markup percentage or delivery cost) to meet a target profit
based on last month income
given the formula : profitForOneOrder = orderPrice * markupPercentage + serviceFee - deliveryCost
- meetTargetProfit(MyFoodora, double) - Method in class fr.ecp.is1220.MyFoodora.TargetProfitPolicyDeliveryCost
-
Sets the delivery cost
based on last month income
to meet a target profit given the formula : profitForOneOrder = orderPrice * markupPercentage + serviceFee - deliveryCost
- meetTargetProfit(MyFoodora, double) - Method in class fr.ecp.is1220.MyFoodora.TargetProfitPolicyMarkup
-
Sets the markup percentage
based on last month income
to meet a target profit given the formula : profitForOneOrder = orderPrice * markupPercentage + serviceFee - deliveryCost
- meetTargetProfit(MyFoodora, double) - Method in class fr.ecp.is1220.MyFoodora.TargetProfitPolicyServiceFee
-
Sets the service fee
based on last month income
to meet a target profit given the formula : profitForOneOrder = orderPrice * markupPercentage + serviceFee - deliveryCost
- Menu - Class in fr.ecp.is1220.MyFoodora
-
- Menu() - Constructor for class fr.ecp.is1220.MyFoodora.Menu
-
- Menu(ArrayList<Dish>, ArrayList<Meal>) - Constructor for class fr.ecp.is1220.MyFoodora.Menu
-
creates a Menu object given a list of dishes and meals
- mostActiveCourier() - Method in class fr.ecp.is1220.MyFoodora.Manager
-
get the most selling restaurant considering the number of orders
- mostSellingRestaurant() - Method in class fr.ecp.is1220.MyFoodora.Manager
-
get the most selling restaurant considering the number of orders
- MyFoodora - Class in fr.ecp.is1220.MyFoodora
-
- MyFoodora(double, double, double) - Constructor for class fr.ecp.is1220.MyFoodora.MyFoodora
-
Create a new MyFoodora instance
- MyFoodoraClient - Class in fr.ecp.is1220.MyFoodora
-
- MyFoodoraClient() - Constructor for class fr.ecp.is1220.MyFoodora.MyFoodoraClient
-


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Data Structures | |
| struct | block_request |
| A block device request. More... | |
| struct | block_device |
| A block device. More... | |
Modules | |
| DataFlash® Block Device | |
Typedefs | |
| typedef uint32_t | block_addr_t |
| Type for holding a logical block address (LBA). | |
| typedef uint32_t | block_len_t |
| Type for holding a block length (i.e. number of blocks). | |
Enumerations | |
| enum | block_device_flag { BDEV_UNIT_ATTENTION, BDEV_PRESENT, BDEV_WRITEABLE } |
Flags representing the state of a block device. More... | |
| enum | block_operation { BLK_OP_READ, BLK_OP_WRITE } |
Block device operation codes. More... | |
Functions | |
| static uint16_t | blkdev_get_block_size (struct block_device *bdev) |
| Return the block size of bdev. | |
| static void | blkdev_set_block_size (struct block_device *bdev, uint16_t block_size) |
| Set the block size of bdev. | |
| struct block_request * | block_alloc_request (struct block_device *bdev) |
| Allocate a block request. | |
| void | block_free_request (struct block_device *bdev, struct block_request *req) |
| Free a block request previously allocated using block_alloc_request(). | |
| static void | block_prepare_req (struct block_device *bdev, struct block_request *req, block_addr_t lba, block_len_t nr_blocks, enum block_operation operation) |
| Prepare a block request. | |
| static void | block_submit_req (struct block_device *bdev, struct block_request *req) |
| Submit a request for I/O. | |
| static int | block_submit_buf_list (struct block_device *bdev, struct block_request *breq, struct slist *buf_list) |
| Submit a list of buffers for an already-queued request. | |
| static block_len_t | blk_req_get_blocks_xfered (struct block_device *bdev, struct block_request *breq) |
| Get the number of blocks actually transfered for a request. | |
| static block_len_t | blk_req_get_bytes_xfered (struct block_device *bdev, struct block_request *breq) |
| Get the number of bytes actually transfered for a request. | |
| static void | blk_req_add_buffer (struct block_request *req, struct buffer *buf) |
| Associate the buffer buf with the block request req. | |
| static void | blk_req_add_buffer_list (struct block_request *req, struct slist *list) |
| Associated the list of buffers list with the block request req. |
| typedef uint32_t block_addr_t |
| typedef uint32_t block_len_t |
| enum block_device_flag |
| enum block_operation |
| static void blk_req_add_buffer | ( | struct block_request * | req, | |
| struct buffer * | buf | |||
| ) | [inline, static] |
Associate the buffer buf with the block request req.
Definition at line 339 of file device.h.
References block_request::buf_list, buffer::node, and slist_insert_tail().
| static void blk_req_add_buffer_list | ( | struct block_request * | req, | |
| struct slist * | list | |||
| ) | [inline, static] |
Associated the list of buffers list with the block request req.
list will be empty when this function returns
Definition at line 351 of file device.h.
References block_request::buf_list, and slist_move_to_tail().
| static block_len_t blk_req_get_blocks_xfered | ( | struct block_device * | bdev, | |
| struct block_request * | breq | |||
| ) | [inline, static] |
Get the number of blocks actually transfered for a request.
This function returns the number of blocks actually transfered. May be less than requested if an error occurred.
This number is updated before each time buf_list_done() and req_done() is called. Note that when buf_list_done() is called for write requests, this indicates the number of blocks transfered to the controller, which may be more than the number of blocks written to the underlying storage.
Definition at line 308 of file device.h.
References assert, block_request::bdev, and blkdev_get_block_size().
| static block_len_t blk_req_get_bytes_xfered | ( | struct block_device * | bdev, | |
| struct block_request * | breq | |||
| ) | [inline, static] |
Get the number of bytes actually transfered for a request.
This function returns the number of bytes actually transfered. May be less than requested if an error occurred.
This number is updated before each time buf_list_done() and req_done() is called. Note that when buf_list_done() is called for write requests, this indicates the number of bytes transfered to the controller, which may be more than the number of bytes written to the underlying storage.
Definition at line 328 of file device.h.
References assert, and block_request::bdev.
| static uint16_t blkdev_get_block_size | ( | struct block_device * | bdev | ) | [inline, static] |
Return the block size of bdev.
This returns the size in bytes of the smallest addressable unit that make up bdev. It is highly recommended to use this function rather than accessing block_device::block_size directly, as the latter may be replaced by a compile-time constant in some applications. A constant block size may eliminate some expensive calculations at run time, thus making the code smaller and faster.
| bdev | The block device to query |
Definition at line 173 of file device.h.
References block_device::block_size.
Referenced by blk_req_get_blocks_xfered().
| static void blkdev_set_block_size | ( | struct block_device * | bdev, | |
| uint16_t | block_size | |||
| ) | [inline, static] |
Set the block size of bdev.
This changes the block size of bdev to be block_size bytes. If CONFIG_BLOCK_FIXED_BLOCK_SIZE is set, this is the only legal value for block_size.
| bdev | The block device to query | |
| block_size | The new block size of bdev in bytes |
Definition at line 192 of file device.h.
References assert, and block_device::block_size.
Referenced by dataflash_detect().
| struct block_request* block_alloc_request | ( | struct block_device * | bdev | ) | [read] |
Allocate a block request.
| bdev | Block device which will handle the request |
Definition at line 53 of file block_core.c.
References block_device::alloc_req, assert, block_request::bdev, dbg_warning, and likely.
| void block_free_request | ( | struct block_device * | bdev, | |
| struct block_request * | req | |||
| ) |
Free a block request previously allocated using block_alloc_request().
| bdev | The block device for which req was allocated | |
| req | The block request object to be freed. |
Definition at line 77 of file block_core.c.
References assert, block_request::bdev, and block_device::free_req.
Referenced by tsfs_read_page_done().
| static void block_prepare_req | ( | struct block_device * | bdev, | |
| struct block_request * | req, | |||
| block_addr_t | lba, | |||
| block_len_t | nr_blocks, | |||
| enum block_operation | operation | |||
| ) | [inline, static] |
Prepare a block request.
This function will initialize a block_request structure with default values (no buffers, no bytes transferred, etc.) The req_submit() field will point to the function that will start the operation indicated by operation.
| bdev | The block device which should handle the request | |
| req | The block request to be initialized | |
| lba | The Logical Block Address of the first block | |
| nr_blocks | The number of blocks to operate on | |
| operation | One of the operations defined by block_operation. |
Definition at line 222 of file device.h.
References assert, block_request::bdev, and block_device::prepare_req.
| static int block_submit_buf_list | ( | struct block_device * | bdev, | |
| struct block_request * | breq, | |||
| struct slist * | buf_list | |||
| ) | [inline, static] |
Submit a list of buffers for an already-queued request.
This function will atomically submit a list of buffers for transfering data associated with a block request. If the request has already failed before the buffers are queued, this function will leave the buffers alone and return -STATUS_FLUSHED. The caller is responsible for cleaning up the buffer list when this happens.
| bdev | The block device handling the request | |
| breq | The block request associated with the buffers | |
| buf_list | List of buffers to be submitted |
| 0 | The buffers were successfully submitted | |
| -STATUS_FLUSHED | breq is not queued (i.e. it might have encountered an error.) |
Definition at line 287 of file device.h.
References assert, and block_request::bdev.
| static void block_submit_req | ( | struct block_device * | bdev, | |
| struct block_request * | req | |||
| ) | [inline, static] |
Submit a request for I/O.
| bdev | The Block Device to handle the request. | |
| req | This request |
Definition at line 240 of file device.h.
References assert, and block_request::bdev.


What is Optics?
Optics: : [op-tiks] - nounA branch of physics that studies electromagnetic radiation (for example, light and infrared radiation), its interactions with matter, and instruments used to gather information due to these interactions. Optics includes the study of sight.
Some Facts
Optics Timeline
Optics is the physical science that studies the origin and propagation of light, how it changes, what effects it produces, and other phenomena associated with it. This "Optics Timeline" highlights important events and developments in the science of optics from prehistory to the beginning of the 21st century. It also includes related developments in other fields and related milestones in the human worldview.   TimeLine.Optics is both science and engineering
Optics involves both science and engineering. Optics is a field of such variety that scientists and engineers with all kinds of interests contribute to it. Optics is a vibrant and growing field with a rich history.   Both Science and Engineering.The Eye
The eye is a sophisticated, one-lens system for imaging visible light.   How does the eye work?Make a Telescope
This activity demonstrates how to make a simple telescope using two lenses and a cardboard tube.Directions
- Take your cardboard tube and cut it down to the length of the two focal lengths of the lenses (for example: if I have 10cm and 20cm lenses, I would need a 30cm tube). Hold a lens at the floor under a ceiling light and move the lens up until you see an image of the light fixture on the floor. The distance between the floor and the lens is its focal length.
- Now attach the lenses to either end of the tube using the sticky tape, but try not to obscure the view through the tube.
- Using your felt tip pen, color the end of the tube with the shorter focal length lens so you know which direction to look through (the end with the lens with the shorter focal length).
- Now look though the end that you've marked and you're looking through a telescope! The first thing you'll notice is that the image you see is upside down. Real telescopes have many lenses in them so the image always appears the right side up.
- If the focal lengths of your lenses were about the same, you might not think there's much of a difference in image size. If you look through the telescope with one eye, however, and look straight at the object with the other you should be able to see both the magnified and the unmagnified image and compare the two. Guess how many times larger the image is than the object. In theory if you divide the larger focal length by the smaller one you should get the magnification of the telescope. If you take the case above where we had a 10cm focal length lens and a 20cm focal length lens then you divide 20 by 10 and get 2. Therefore that telescope would have a magnification of x2. Did you guess the right magnification for your telescope?
Materials
Reflection
Now, do you know what optics is?Please check yourself:
- Summarize the meaning of optics in 3 sentences;
- What facts do you know about optics?
- Using the principles learned, can you create any activities?


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Accelerated second-year Estonian. Systematic review of Estonian grammar. Intensive practice in conversation, reading, and writing. Prerequisite: either ESTO 103 or ESTO 150. Offered: S.
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Readings in a selected area of Estonian language, culture, or society.
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When several operations occur in an expression, each part is evaluated and resolved in a predetermined order called operator precedence. Parentheses can be used to override the order of precedence and force some parts of an expression to be evaluated before other parts. Operations within parentheses are always performed before those outside. Within parentheses, however, normal operator precedence is maintained.
Arithmetic operators are evaluated in the following order of precedence:
! |
Factorial | |
^ |
Exponentiation | |
- |
Negation | |
* |
/ |
Multiplication and Division |
+ |
- |
Addition and Subtraction |
When multiplication and division occur together in an expression, each operation is evaluated as it occurs from left to right. Likewise, when addition and subtraction occur together in an expression, each operation is evaluated in order of appearance from left to right.
You can enclose any operand in parentheses. For example, in the expression:
(10+5)/5
the parentheses around 10+5
mean that the
value of 10+5
is evaluated first and it becomes the left operand of
the division (/
) operator. The result of (10+5)/5
is
3
. Without the parentheses, 10+5/5
would evaluate to
11
.


Param callbacks allow you to respond to and capture path segments that match
specific patterns or contain specific characters. Param callbacks are named
patterns with matcher callbacks like int
that only matches integers.
There are several built-in callback types that cover the most common URI segment patterns that you will want to respond with. These types are:
int
- Matches integers and numbersfloat
- Matches floating point numbersboolean
- Matches “1”, “true”, “on”, and “yes” (based on
FILTER_VALIDATE_BOOLEAN
)slug
- Matches alphanumeric URL pattern with underscores and dashes
([a-zA-Z0-9-_]
)email
- Matches valid email addresses using FILTER_VALIDATE_EMAIL
This example uses the slug
param matcher to match only URL slugs. This will
match URIs like /posts/my-post-title
and will output Post: my-post-title
.
$app->path('posts', function($request) use($app) { $app->param('slug', function($request, $postId) use($app) { return "Post: " . $postId; }); });
param
method path callback will have a second argument that holds
the matched URI segment or other returned value ($postId
in this example).
If you need to register your own custom param type, it’s as simple as one method call with a custom name and a callback that runs the validation.
This is the callback that Bullet uses for int
paths:
$app->registerParamType('int', function($value) { return filter_var($value, FILTER_VALIDATE_INT); });
If the param callback returns boolean true
, the attached path callback will
be executed and the original URI segment will be passed to the attached path
callback.
If the param callback returns any value (anything other than boolean false
),
the attached callback will be executed, and the returned value will be passed
to the path callback. This is useful if you want to modify the URI segment
before it gets passed to the attached path callback.
If the param callback returns boolean false
(no match), the attached path
callback will be skipped and never executed.


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What time of day would be best to meet?
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Describe your favourite book & author
What time of day would be best to meet?
How much do you love this genre?
I love it!
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It's okay
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Sorry for the design, having exam session and no time for that...
Hit me up if you want to use the API - for now it's free but how about sponsor my server?
Contact me for API - until I released the source code


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Nexplanon does its job. I can have worry free sex. The only thing is that my periods are sometimes light and sometimes heavy. Sometimes they go away and sometimes they show up unexpected. I also feel somewhat depressed.
Not sure if its Nexplanon or not.
SENT6
I've had Nexplanont for about 2 months now, but despite the side effects its the most effective birth control I've ever used and I do not plan on taking it out.


# Commandments of programmer ## Generic ### Debian 8.0 apt-get install apt-transport-https lsb-release curl -s https://deb.nodesource.com/gpgkey/nodesource.gpg.key | apt-key add -


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Mrs Jones welcome to episode 59 of keeping up with the Joneses.
Thank you sir.
Let's keep up with you. How are you?
I'm good.
You're wearing your beautiful apple watch.
I am.
How are you doing with your green rings?
Um, well I fell off the wagon with you last week but I'm back with the wagon.
Wait, wait, wait, wait, wait.
You pulled me off the wagon.
I did know such thing.
You forcibly pulled me off the wagon.
I feel kind of guilty because I wrote that review on the apple watch.
And was talking about how amazing it is it motivating me to get my green ring.
Yeah, and that's absolutely true. But then what did I do? You did a software update.
I did a software update to beta software, which is completely incomplete.
And it tanked your watch. It totally tanked my watch. So while my watch is tanked, I am
having more than a couple of days because there's no point the software has rendered it useless,
which will serve me right for installing pre-release software. I did warn you. Remember last year?
You did.
New software, oh, it must. Oh, oh, oh. And there goes the watch.
Yeah. It was in dependency. It was. So happy birthday America.
Yep. 239 years old. Yep. That's not that old. 1776.
Coming from a country where I'd walk past houses that were older than this nation on my way to work.
know that July 4 is actually the day that the Constitution was signed and not actually
the day that they declared independence. Nope. July 2 is the day they declared independence.
Is that historically accurate? Because that's going to get lodged in my brain and we will.
That is historically accurate. I wonder if that's going to be in our citizenship test.
Hard to say. I doubt it. But now I know that piece of information.
who was our first present, who was our fourth or 16th or 22nd.
You're going to pass with flying colors.
It's going to be fine.
I had this week, a monumentous occasion happened.
I mean, it's way up there with the day I got married, the birth of my three children.
I'm so offended right now because I know what you're about to say.
It's after about, I don't know, maybe six months worth of hard work and toil
Concert effort prayer on many occasions. What was my achievement this week AJ Jones?
I can't I can't after that leg lead in to say what it was. I finished
Champions Road, which was my final level to be in Super Mario 3D world. Yeah, and it I don't know how many hours
I've tried to be actually finished are you?
Well, no
No, you're not there's the slight rub. Mm-hmm. I have completed every single level in the game
game as of this week. And Matt and our 8 year old daughter helped me finish it. There was
much rejoicing. And then I restarted the Wii just so I could see my congratulations who
finished the game. But instead it greeted me with 4 shiny stars instead of the 5 I was
hoping for. And upon further research I realized that in order to get 5 stars to truly 100%
complete the game. It requires that you play every single level with every single character.
So I had to replay the game with all five characters, which I managed to do in only 24
hours. And that's pretty much all you did do for that 24 hours. It is. And that was
on vacation. So I was allowed to, but I find myself back in the situation where I was
prior to beating the level in that I have to rebreat it another three times
for the three characters that haven't played that level.
So my nightmare continues, but I'm encouraged.
It feels amazing.
Does it, darling?
I'm so glad.
And I rewarded myself with a bag of lint chocolate.
Great.
Joy leads to joy.
Tell me about your week.
What was the highlight of your week?
Aside from me finishing Champions Road?
I think possibly one of the highlights of my week was
I took the kids to the splash pad, the new splash pad in Spring Hill, and MJ's never
been to one.
And so, you know, just stuck his bathing suit on him and he went out.
He just sort of watched everybody very cautiously, then he went over and put his hand in the
water and squealed and ran away.
And that's what he did for about the first 20 minutes was just touched water and then
squealed and ran away.
And then he started getting really brave and getting really wet.
That's really brave.
He didn't want to leave.
to begin with, he wasn't that that chuffed with it, but the girls had great fun.
If you can hear explosions as we're recording this, it's not our fault. It's the fireworks
from the Memorial Day weekend. So we're not to blame. I'm sorry.
It's fireworks from months ago. I'm Memorial Day weekend. He means from Independence Day
from July 4th. Oh, that's right. I do mean that. Thank you.
That's okay. I got your back. I got your back.
Have we told our podcast listeners about your shoulder?
I don't know actually.
Your janky shoulder.
I have a janky shoulder.
And we don't know what caused your janky shoulder.
What's the official diagnosis?
I have an impingement in bursitis and frozen shoulder.
I understood one of those things, frozen shoulder.
What is an impingement and bursitis?
I'm not completely sure.
Let's move on.
I think they're the same thing maybe or there's, I don't know.
And so you've been a physio or physical therapy as Americans call it.
- What do they make you do?
- All kinds of horrible stretches
that are horribly painful.
- I think I like word association, physio pain.
My sister's a physio.
And anytime she try and cool and cool, inspect me.
If I have a couple of friends who are physios
and anytime they try to help me,
they've basically hurt me first.
- Mm-hmm, yeah, it's not great.
- But you are feeling better.
- I'm getting more movement back.

- Yeah, I'm all about the golf.
- We are officially off work.
- We are.
- And we're doing a mix of staycation and vacation.
- Yes, we are.
- And so this week, I wanted to talk about
the process of unwinding and resting.
- Yes.
- Here's what I would say.
I think there's a difference between unwinding and resting.
- Okay.
- I think unwinding is something you do
on a daily, perhaps weekly basis to just help.
- To stress and to do.
- Yeah, to help counterbalance the busyness
of the day slash the week.
I think resting is something different. What do you do to unwind?
I think to unwind, the main thing that I do right now is go to the gym.
Really? Because you do like doing that.
I love going to the gym.
And talk to me as somebody who's allergic to physical exercise.
And that's a medical diagnosis. I am allergic.
That is a lie.
No, listen, my symptoms when I physically exercise is I become weary, short of breath.
And I have cramps.
And you sweat.
Yeah, like I have like increased heart rate.
I have what feels like a fever.
Maybe your allergic to the gym.
So as somebody who's unable to go to a gym
because of medical reasons--
Right, obviously.
What you tend to love it.
I do.

That's some of it.
I can just get in my head.
I put my headphones on.
I usually watch HGTV.
Like I watch like home renovation shows.
Oh, I thought it was a Holy Ghost TV.
Oh, well, they don't have that at the gym.
Oh, OK.
But most of it-- or sometimes I just put my headphone in so that people don't bother you
not that they really do anyway.
And I just walk in silence or walk around in silence or do the elliptical in silence.
Here's another difference between you and I talking about unwinding.
If you're in the car driving somewhere, you have no music on.
Nope.
You're in silence.
If I'm in the car somewhere, I always have either a podcast or music on.
Do you find having noise music, whatever, doesn't unwind you?
It doesn't unwind me.
Well, it kind of depends on the day.
Sometimes I listen to Johnny swim when I'm driving, but that's about it.
They're the only people unwind you.
Yeah.
Congratulations, Johnny swim.
You officially online my wife.
I like to sing along.
But, but I like silence and I don't feel like I get enough silence in my day.
So I'm happy to ride in silence if I'm by myself.
Hmm.
Rest then, you know, because I've seen there's a difference between unwinding and rest.
I'd say unwinding is kind of the counterbalance to the business of the day.
I would say rest is more than just the absence of work.
I'd say it has to be something that you actively do that nourishes your soul.
Fred Wright, who was a man I had to sit in a tiny office with and be very, very scared while asking
if I could date you. So spiritual data of yours, he gave us some great advice years and years and
years ago. He said, the balance of your life has to be made up of you feeding your spirit,
feeding your body and feeding your soul. And so he was like, Hey, you know, it's really good that
you're working. It's really good that you're ministering. But when was the last time you did
something that nourished your soul and for him it was like golf I think. That would not nourish
my soul at all. So as opposed to going to the gym which is unwinding, what feeds or nourishes your
soul? What makes you feel like you again? I think probably creative things. I don't think that I've
been doing much that's been very nourishing to my soul so maybe I've not prioritized that
correctly but what I mean other than I love cooking new recipes if there's nobody asking me questions
if I'm just by myself in the kitchen cooking right that's lovely so when you go out and play
settlers of katana with people that's a choice you've actively made over doing something else
does that nourish your soul being with some good friends playing a good board game yeah
Yeah, that does.
And you used to paint a lot.
I used to paint.
You went through that season of happy animals, happy lion,
happy giraffe.
Yes.
I still, like I think creative things probably nourished
my soul more than even, like I like being with other people,
but I think I probably need to figure out stuff for my
introvert to be nourished.
You've been illustrating all the pages of your new children's
book and you can get lost in that for hours.
Yeah.
On the one hand, that's work.
Yeah.
On the other hand, that's incredibly creative.
Yeah, it's kind of doing both for me at the moment.
But does it does it deposit in your drug container?
I think I don't know.
Maybe it deposits in a different way to it.
When I'm finished a page, I'm really happy.
So I don't know if that counts.
I think that's got a count.
Yeah.
Um, I mean, I used to love photography.
like I used to love it.
And especially when you could do dark room stuff,
I'd stand in a dark room for eight hours a day.
I would rent extra dark room time and just sniffing
all those chemicals in the dark.
- It was all about the chemicals.
- I understand what you're saying.
- Yeah, I just want to get high.
Toxic things.
- But now you've got kids.
- Yeah.
- You just can't spend eight hours in a dark room.
- I just can't.
Nor do I have all the equipment.
(laughs)
- Well, it's not called Photoshop.
We've moved on quite considerably.
- I knew what to do in a dark room.
I don't know what to do in Photoshop.
- Oh, come now.
I've seen your Photoshop work.
It was beautiful.
- Oh, thank.
- When we go on vacation,
as opposed to being on staycation.
So here's an interesting thing.
I'm as happy as can be on a staycation.
You, on the other hand, wanna pull your hair out.
Talk to me about why is vacation different for you?
Why is going away somewhere different than being at home
and not having to go to work?
- Well, remember Christine Stroop taught us this course
and we did these videos.
Do you remember what the name of the video was?
- I do.
is our personal ministry's pastor, an amazing person at Grace and her and a dear friend
of ours.
She was some sort of like understanding women, understanding men.
Yeah, Allison, somebody rather.
It was, yeah, anyway.
Anyway, they talk about how women have diffuse awareness.
So we're constantly aware of our environment and what's not done.
Right.
So for me, if you're, like when you said, "Oh, let's have a staycation."
I'm like, I'm not gonna rest at all,
'cause all I'm gonna see is all the things
that still need to be done at our house
and everything that's not clean.

- Whereas I have singular focus,
I'm seeing champions road and I'm tuning out the kids
that are hungry and the baby that needs a diaper changed.
And the fact that cushions are on the floor
and the dishes from breakfast from the side,
which, you know, we're gonna get to later.
I can just focus and tune all that stuff out.
And I can't do that at all.
And apparently that's a theme for women.
Diffuse awareness.
It's not necessarily multitasking.
It's this awareness that's completely diffused
and you're aware of your whole environment, screams at you.
The pillows are saying, put me back on the sofa.
The blinds are saying, straighten me.
The kids are saying, bath me.
The countertops are saying, wipe me down,
all that sort of stuff.
And so all of that friction and noise,
which is why you like going to a hotel where we have a maid who does all that for you.
Yeah.
Okay.
That makes sense.
And I don't have to care about the bathroom or the floor or the whatever.
Yeah, totally.
I think I'm a simple creature.

A cute, but simple.
Thank you.
Yeah.
That's what it says on my resume.
Allen Jones, cute, but simple.
In the what unwinds me and what rests me.
are usually the same things. Just give me solitude. If I can just be on my own, I'm really,
really happy. I think because we're in the people business and most people interact with
our extroverted sides. So whether we're on a podcast where we're sharing stuff about our life,
or whether we're speaking publicly, and we have to be extroverted because a group of people
listen to us. But the truth is we're quite introverted, both of us. So for me, being on my own is just
absolutely wonderful. I really, really recharge just being alone. And because I could just read,
I could fritter around on the web, I could watch videos, I could even just learn stuff. I love
learning things and growing emerging skill sets. That just makes me very, very happy.
Or I like playing video games, but I also realize that need to finish things bleeds over into
normal life. So part of the joy of me staying home on a staycation is there's a bunch of things
around the house that I would love to do, but don't get time to do during the week.
So I'm thinking, man, I'd really like to fix that or clean this or paint that.
And because most of those tasks are like an hour, a two-hour job, I know that I could allocate
time to that, get that done, and that sense of reward would be there. But then I also find that
once I've rested and I've had downtime, I actually look forward to being with people.
So there is that you know, you feed your introvert and your extrovert side comes out.
I feel the same.
Is there anything else that keeps you from resting?
Three children.
I mean, you just think if you were going on vacation without three children,
it would probably look real different.
Like I would get coffee in the morning, grab a book and spend the whole day at
the pool on a chair reading.
That would be it.
And I'd be in the room.
on the internet.
In the air conditioning.
Surfing.
Talk to me about your revelation about God resting.
Well, I was thinking when you're talking about, let's talk about rest, that actually
it's pretty important to God.
God rested, God set up a Sabbath.
I think God knows what he's doing when he tells us to rest.
And we get, we short-circuited, I think, by not resting.
We short-circuit things God could be doing in us, or even just, I think I'm a better
person when I'm rested. I'm a better mom, I'm a better wife, hopefully. So I think rest
is super important. And it's a funny topic for me to talk about because I don't feel
like it's one I've mastered. I feel like it's one that I'm still like, oh, I need to learn
about this.
Right. And sometimes it can seem such a lower priority to rest when there's so much to be
done.
Yeah.
is because my needs in resting are so low, I can kind of rest fairly easily. Because
what you need to rest is greater than what I need to rest. Like it's pretty frictionless
for me to rest. I'll just retreat.
I'd say you do a pretty good job of resting almost every day for some sort of section
of time. Because you can tune everything out and you do have that ability and I just don't.
So I often end up going to bed thinking, oh, you know, I don't really think about it actually.
But when I think about it now, I rarely take time for me unless somebody calls and says
something like, hey, do you want to come over and do a cotan or whatever?
And then I'm like, oh, oh, yeah, I'm allowed to do that.

So I don't know.
I don't know if it's shame.
Like I don't know if shame says to me, you can't rest right now.
around you, you can't rest right now, everything isn't tidy and everything's never going to be
tidy, really.  Now, when we met, you were much better
arresting when you were on the season. Yes. Do you think that's just because this season has way
more responsibilities than it did when we first met? Yes. We don't have three children. Yes.
Because in reality we're at work and then when we're not at work we're maintaining our children until they go to bed at seven yeah and you have to feed them and cuddle them and take care of them apparently i mean they just they don't come pre.
But once you put them down at seven then we're exhausted she's why you force yourself to go to the gym yes so probably in order to help you we need to schedule some more rest activities probably.
Yeah, I mean, probably, yeah, we just need to kick our shapers into gear.
All right, let's kick our shapers into gear. Well, it's good that we're going to be resting
this week. We are. And on the topic of that, next week, there will be no podcast.
I'm sorry, but we're taking a week off because we're prioritizing rest.
That's right. Executive decision just made. Perfect.
But we'll be back in two weeks time. Do you have time for a listenist question?
Yes. It's kind of related to what we've been talking about.
Okay. And this is an anonymous question.
And it says this, I'm listening to a previous podcast about boundaries.
I am in a newly appointed leadership position at my church and it is taking up a lot of my time
on top of already having to work a full time job.
Well, I'm constantly being asked to fill in here and help there at the church
in addition to this new leadership position.

But it's hard to know if I should say no to some things
because there is a need to be filled in those areas.
I don't want to dishonor my leadership by saying no, but at the same time, I am stretched
so very thin.
Do you have any thoughts?
I have plenty of thoughts.
Yeah.
Can you talk to your leaders and just tell them, "Hey, this is what life looks like for
me and I totally want to serve you and I want to be available, but the deal is I need to
prioritize my marriage as well."
Can you have that kind of a frank conversation and say this is what my full-time job looks like
this is the you know what I can do and then beyond that I can't do anymore and
honor my my marriage in my life and money for rest and all that kind of stuff. Yeah, I think there's a
probably a good thing to sit down with your wife and just drop your priorities for
this season of life and just work out, you know, what's most important and then anything that falls
below the line of most important, you just can't do. If you don't draw those priorities,
very quickly, some priorities will be drawn for you and they might not necessarily be the ones
that you want. I think too, you want to just stay open to the Holy Spirit and say, like, when
stuff does come along, sometimes we'll do stuff that would normally be outside of our boundaries.
But it's like, oh, we really feel like the Holy Spirit's asking us to do that thing,
but it's the exception, not the rule. Right. I would say in life, in our
life. Our priorities are marriage. Our kids, obviously the Lord, right? I'm just assuming
that's a given, but our marriage, our kids, our job. And we're very, very fortunate to have
leaders that would hold the same values to that.  You know,
do you have everything you need to come back? Are you taking vacation? Yeah. All that sort of
stuff and he's very, very good at that. So that's kind of our priorities. Anonymous,
you're also in luck because we prepared a three CD teaching on this. You don't have
to have on CD, you can download it as well. Where we answer a lot of questions like how
do I honor my authority? How do I set boundaries? How do I communicate boundaries? How do I work
out what I want to say yes to and what I say no to? How do I do that with tact and grace
and all that sort of stuff? And you can get that at our website at allenaj.com/boundaries.
But I think it just comes down to a really nice conversation with your leadership about
staying hate, by the way, I'm volunteering for this.

Can you help me make some decisions?
Yeah.
All right.
Well, we are done for this week.
We hope you have an incredible week.
If you're like show notes for this week's episode, go to Alan and ag.com/59.
Remember there will be no podcast next week as we are going to be on vacation and we're
choosing to take a week off.
Yeah.
But doesn't really love you.
I so wish you could all hear MJ save vacation.
It's so cute.
You should hear him say osteoporosis.
Even cuter.
It's really cute.
He can't say the, sorry, he says, "acation."
We go on vacation.
Maybe we'll get him on the microphone for the next podcast.
Oh, be so funny.
I know we've got you on tender hooks until then have an incredible two weeks.
We love you.
Bye.
Bye.
[ Silence ]


IntroductionCredit: Raymond Hettinger Lather, Rinse, Repeat Docs for my bottle of shampoo The Iterator ProtocolAfter namespaces, iterators and generators emerged as the next "honking great ideas" in Python. Since their introduction in Python 2.2, they have come to pervade and unify the language. They encourage a loosely coupled programming style that is simple to write, easy to read, flexible, and extendable. Simply put, the iterator protocol has two halves, a producer and a consumer. An iterable object says, "I know how to supply data one element at a time," and the consumer says "please give me data one element at a time and say Stop when you're done." The producer/consumer connection can appear in a number of guises. The simplest is where a function or constructor wraps around an iterable object. For example, sorted(set('simsalabim')) has the set constructor looping over the elements of the iterable string and a sorted function wrapping around the resulting iterable set object. replaceable literal In addition to functions and constructors, regular Python statements can use the in operator to loop over iterable objects. for line in myfile: print line loops over lines of an iterable file object. Likewise, if token in sequence loops over elements of a sequence until it finds a match (or until it reaches the end with no matches). Both guises of the consumer side of the iterator protocol use the protocol implicitly. In addition, an explicit form is more flexible but used less often. The iterator object is saved as a variable, it = iter(mystring). Then, the iterator's next method is called to retrieve a data element, elem = it.next( ). Such calls are usually wrapped in try/except statements to catch the StopIteration exception that the iterator raises when the data stream is exhausted. All of these approaches provide the full range of iterator benefits, including loose coupling and memory friendliness. The loose coupling is evident in the first example, where the independently created and maintained sorted function, set data type, and string objects were readily combined. The memory friendliness derives from the one-at-a-time structure of the iterator protocol. Programs using iterators are likely to be less resource intensive and more scalable than their list-based counterparts. Iterators and GeneratorsAn object that wants to be iterable should implement an _ _iter_ _ method, which returns an iterator object. Ideally, the iterator should be a distinct object from the iterable, to make it possible to have multiple iterators over the same iterable container. There are exceptions to this general recommendation: for example, a sequential file object does not readily lend itself to multiple iterations; therefore, it is more appropriate in this case to have the file object be its own iterator rather than return a separate iterator object; given any file instance f, indeed, iter(f) is f. Any iterator object must implement a next method and an _ _iter_ _ method. The next method should raise StopIteration when the iteration is complete. Care should be taken that subsequent calls to next continue to raise StopIteration (once stopped, it stays stopped). The _ _iter_ _ method of an iterator object should always return the iterator itself (_ _iter_ _ is idempotent on iterators). This simplifies client code by allowing it to treat iterators and iterables the same way (i.e., both return an iterator in response to the iter function). To be useful, most iterators have a stored state that enables them to return a new data element on each call. The previously described responsibilities and the need to have a stored state both suggest that classes are the way to create iterable objects. That approach is obvious, explicit, and rarely used (only two recipes in this chapter make any use of classes). Instead of writing classes, two alternate approaches dominate. Starting with the observation that many functions and types both accept iterable inputs and return iterable outputs, an obvious approach is to link them together in a "pipes and filters" style to create new tools. For example, def uniq(seq): return sorted(set(seq)) is a way to create a new tool directly from existing functions and types. Like functional programming, the resulting code is terse, readable, trivial to debug, and often runs at the speed of compiled C code. The economy of this approach motivated the creation of an entire module of iterator building blocks, the itertools module. Indeed, many of the brilliant, effective recipes in this chapter make frequent use of itertools components. If no combination of building blocks solves the problem, the next best approach is to write a generator. The Recipe 19.1 shows how trivially easy it is to write a generator. By introducing a yield keyword, the responsibilities of creating an iterator are handled automatically. The iterator objects obtained by calling a generator are distinct, save their state, have an idempotent _ _iter_ _ method, and have a next method that raises StopIteration when complete and stays stopped if called again afterwards. Python internally takes care of all of these details. Because of generators' compelling simplicity, most of the recipes in this chapter make use of generators. Starting with version 2.4, Python continued its evolution toward using iterators everywhere by introducing generator expressions (genexps for short). Genexps can be likened to a memory-efficient, scalable form of list comprehensions. Simply by replacing brackets with parentheses, an expression will yield one element at a time rather than filling memory all at once. Used correctly (i.e., in a context where they are consumed immediately, one item at a time), genexps can offer remarkable clarity and economy: sum(x*x for x in xrange(10)) is a great way to express the sum of the squares of the first ten natural numbers. Thinking Out of the BoxParadoxically, the simpler and more general an idea, the more likely that people will find extraordinary and unexpected ways of using it. Here is a brief sampling of the ways that iterators and generators have been pushed to their outer limits. Observing that the yield keyword has the unique capability of stopping execution, saving state, and later resuming, it is not surprising that techniques have been discovered for using generators to simulate co-routines and continuations. The core idea is to implement each routine as a generator and having a dispatch function launch the routines in orderly succession. Whenever a task switch is needed, the routines yield back to the dispatcher, which then launches or resumes the next routine by calling its next method. Small complications are involved for startup, termination, and data sharing, but they each are solvable without much ado and present fewer challenges than equivalent thread-based solutions. See Recipe 9.8 for an example. Observing that some tools can be both producers and consumers, it is natural to want to stack them together like pipes and filters. While that analogy can lead to useful decoupling, be aware that underlying models are different. Iterators do not run independently from start to finish; instead, an outermost layer is always in control, requesting data elements one at a time, so that nothing runs until the outer layer starts making requests. When stacking tools together (as in the first example with sorted, set, and a string), the code takes on the appearance of a functional programming language. The resemblance is not shallow: iterators do fulfill some of the promise of lazy languages. So, it is natural to borrow some of the most successful techniques from those languages, such as Haskell and SML. One such technique is to write innermost iterators to yield infinite streams and concentrate the control logic in an outermost driver function. For instance, in numerical programming, write a generator that yields successively better approximations to a desired result and call it from a function that stops whenever two successive approximations fall within a tolerance value. Separating the control logic from the calculation decouples the two, making them easier to write, test, and debug, and makes them more reusable in other contexts. Odds and EndsHere are some instructive snippets. Consider each of them carefully, study how they work, and you'll be well on your way towards understanding how best to link iterators together to solve practical problems. Each of the following lines is independent from the "other"s: result = dict(enumerate(myseq)) result = set(word for line in page for word in line.split( )) def dotproduct(v1, v2): return sum(itertools.imap(operator.mul, v1, v2)) def dotproduct(v1, v2): return sum(x*y for x,y in itertools.izip(v1, v2)) randgen = itertools.starmap(random.random, itertools.repeat(( ))) randgen = iter(random.random, -1.0) The idea for restartable iterators surfaces every so often and then drowns in quicksand. sys.stdin is a plain example of an iterable that cannot logically be restarted unless an entire session is saved in memory. A craving for restartability should be taken as a cue that a list might well be a more appropriate data structure. Just because iterators cannot be restarted doesn't mean they cannot be abandoned in mid-stream. The lazy, just-in-time style of production is a key feature of iterators. Take advantage of it. That's why the for statement supports a break keyword, after all. The core itertools and their derivatives (see the recipes in the itertools docs that are part of the Python Library Reference) all run at nearly the speed of compiled code. When Python 2.4 introduced a native set data type, I timed it against the pure-Python version, sets.py, and learned that some of the set logic (intersection, union, etc.) achieved only a two to one increase in speed. The reason was that sets.py used itertools, and itertools performance was exceptional. So, when performance is an issue, consider an itertools solution before turning to more labor-intensive optimizations or native language extensions. |


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EmittingContext Class
Definition at line
13
of
EmittingContext.hpp
Constructors
EmittingContext
(
int
optimizationLevel)
Member Functions
EmittingContext
*
GetBaseEmittingContext
()
Member Variables
EmittingContext
*
baseEmittingContext
Constructor Details
EmittingContext Constructor
cmajor::codegen::EmittingContext::EmittingContext(
int
optimizationLevel)
Definition at line
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of
EmittingContext.cpp
Declaration at line
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of
EmittingContext.hpp
Member Function Details
GetBaseEmittingContext Member Function
EmittingContext
* cmajor::codegen::EmittingContext::GetBaseEmittingContext()
Definition at line
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EmittingContext.hpp
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{% extends "order/payment/details.html" %} {% load i18n %} {% block forms %} {{ form }} {% trans "Make payment" context "Payment form primary action" %} {% endblock forms %}


{% extends "base.html" %} {% block body %}
all about see-sae of Agriculture, Fishery, Livestock products.
{% if product.season %} Now, in season. ( {% else %} Now, NOT in season. ( SEASON : {% endif %} {{product.season_start}} ~ {{product.season_end}} )
{% if product.change_day %}Price changed by day : {{product.change_day }}%
{% endif %} {% if product.change_week %}Price changed by week : {{product.change_week }}%
{% endif %} {% if product.change_month %}Price changed by month : {{product.change_month }}%
{% endif %}


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Planet of the Apes (2001) Reviewed by Steve Kong<EMAIL_ADDRESS>Copyright (c) 2001 Steve Kong URL: http://www.ultramookie.com/reviews.php?op=showcontent&id=7
Planet of the Apes is all Tim Burton style. The movie plot is pretty simplistic and that is good since this is a summer movie. A pilot Leo (Mark Wahlberg) crashes on a plane that is ruled by apes. Humans are second class citizens on this planet and are treated like animals. Leo runs into a group of humans that he befriends, one of the humans is the beautiful Daena (Estella Warren). Helping this group of humans is an ape named Ari (Helena Bonham Carter). The plot? Humans fight for their rights on this planet and Leo is their saviour that fell from the sky.
Yes, there is one or two plot twists to this story and a ending that surprised me (thought was unsatisfying), but they story is pretty thin. So what is there to watch in this movie?
Simply said, The Apes. The apes in the movie upstage the humans! Tim Roth as the vile General Thade, Michael Clarke Duncan as Attar, and Carter as Ari all turn in wonderful perfomances from under all that make up. The same can't be said about the humans. Wahlberg is a very limited actor and it shows here. Watch just what little reaction he has when he encounters talking apes. And Warren is just there as eye candy, her part is so thin that if she disappeared halfway through the film I doubt anyone would miss it. The apes though are great! Not just because of the revolutionary make up that they have that lets they truly emote, but because the actors that play the apes are top-notch. Roth's performance is only a one note performance, but he plays that note well. And Carter as Ari adds some warmth to any otherwise bland character.
Rick Baker (Men in Black) has to be given many kudos for the work he's done for this movie. The ape make up is perfect. The score by Danny Elfman is perfection also. Every detail in this film is done to perfection and that's what should be watched for. It's too bad that all the perfect pieces don't fit together all that well. And although I enjoyed the movie and liked how Burton threw in the surprise ending, the movie in the end is just a mediocre movie -- something that's to be expected from a summer movie, but I expected a whole lot more out of Burton.
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READ FIRST !!!
You can only input numbers for volume numbers, comma (,) for separator and hyphen (-) for volume range.
When using hyphen (-), you need 2 numbers. The number on the left should be less than the number on the right to describe the volume range correctly.
Only positive numbers are accepted.
Currently, the maximum volume number is #200.
We will generate the correct format for your input, so just type in a volume number/range you have!
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This is VALID. 1,3,5-10,20,82,189
This is INVALID. 1,3,8,10-5,12,20,-18,159,220


WITNESS LIST Natural Resources Committee April 22, 1997-2:00P SB 16 Registering, but not testifying: For: Powers, Bill (TX Farm Bureau), Ausitn SB 707 Registering, but not testifying: On: Reid, Spencer L. (GLO), Austin SB 1050 On: Bell, M'Lou P. (GLO), Austin Reid, Spencer L. (GLO), Austin SB 1136 For: Blizzard, Roy B. (self), Austin Brandes, Robert R. (self), Austin Byfield, Dan (Am. Land Foudation), Austin Kam, Thomas W. (BCEP Landowner Assoc.), Austin Kleeman, Robert Joseph (BCEP Landowner Assoc.), Austin Langford, David K. (TX Wildlife Assn.), San Antonio Neal, Joe W. (self), Austin Savoy, Philip G. (Take Back Texas), Austin Vaught, John W. (self), Austin Vaught, Kimberly (self), Austin Against: Aleshire, Mary Roe (self), Austin Bristol, Valarie S. (Travis County), Austin On: Steed, David Lewis (Bexar Metro Water Dist.), Austin Registering, but not testifying: For: Powers, Bill (TX Farm Bureau), Austin Savio, Harry L. (TX Capitol Area Builder), Austin Shaw, Shirley (Comanche Canyon Ranch), Austin Townsend, Chuck (self), Austin Against: Hood, Maury Jon (self), Austin Kramer, Ken (Sierra Club), Austin SB 1436 On: Weber, Thomas W. (TNRCC), Austin Registering, but not testifying: For: Sandidge, Louis C. (AECT), Austin SB 1545 For: Covert, Paul Blanton (self), Leander Hughes, Knox Brown (self), Houston Against: Benedict Jeril Robert (Houston), Houston Hazzard, Jay (EOTT Energy Corp.), Houston Miller, Elizabeth N. (TMOGA), Austin Sebree, Ben (TMOGA), Austin On: Anderson, A. Scott (TIPRO), Austin Registering, but not testifying: Against: Allday, Marty (The Coastal Corp.), Houston Perry, Steve H. (AlTURA Energy), Austin SB 1820 Registering, but not testifying: On: Bell, M'Lou P. (GLO), Austin Gutierrez, Hector (City of El Paso Water), Austin Hewgley, Bob W. (GLO), Austin SB 1857 For: Pelizza, Mark S. (VRI Inc.), Plano Registering, but not testifying: For: Underdown, William R. (IEC Corp.), George West On: Ratliff, Richard Allen (TDH), Austin Rogers, Alice (UIC, Uranium), Austin SB 1874 Registering, but not testifying: On: Boldur, David (TNRCC), Austin SB 1876 Registering, but not testifying: On: Boldur, David (TNRCC), Austin Riley, John A. (TNRCC), Austin SB 1891 For: Anderson, A. Scott (TIPRO), Austin Sebree, Ben (TMOGA), Austin Against: Butler, John Roscoe (Petro. Info./Dwights), Houston Graves, Nim K. (HPDI), Austin On: Regan, Mike (RRC), Austin Registering, but not testifying: Against: Nicchio, M.J. (TX Daily Newspaper Assn), Ausitn Woodford, Suzy (Common Cause Tx), Austin SB 1910 For: Fisher, Wayne (self), Houston Against: Chafin, Mark Alan (Leon River Turkey Farms), Temple Grimm, James C. (TX Poultry Fed.), Austin Maxton, James D. (Tx Farm Bureau), Omaha McMinn, Billy Edward (Pilgram's Pride Corp.), Pittsburg Miner, James J. (Pilgram's Pride Corp.), Pittsburg Rowe, Vernon D. (Pilgram's Pride Corp.), Pittsburg Small, Ed (TX Poultry Fed.), Austin On: Buckley, Robert G. (TX State Soil&Water Con), Temple Coats, Max E. (Tx Animal Health Comm.), Austin Lindemann, Eugene R. (USDA Nat Res Cons. Serv), Temple Williams, Barry J. (TNRCC), Austin Williams, Darrell W. (TNRCC), Austin Registering, but not testifying: For: Brandes, Robert J. (NE TX Muni. Water Dist.), Austin Dean, James W. (NE TX Muni. Water Dist.), Hughes Springs Against: Broussard, Gerald Lynn (G&R Farm), Carthage Bryan, Bradley C. (Plantation Food's), Austin Ellbracht, Robert A. (Sunday House Foods), Fredricksberg Lassig, James A. (Tyson Foods), Gonzales Lovette, Billy Wade (Tyson Foods), Seguin Roberts, Robert Sean (Tyson Foods), Harwood Shipp, Jim Todd (self), Nacogdoches Written materials submitted: Against: Engelke, Tommy (TX Ag. COOP. Council), Austin SB 1925 On: Bell, M'Lou P. (GLO), Austin Mills, Ken (GLO), Austin Reid, Spencer L. (GLO), Austin


--- layout: post title: The core features of the scientific writing style II date: 2011-04-15 14:58:43.000000000 +02:00 type: post published: true status: publish categories: - Scientific writing tags: - abbreviations - advice on scientific writing - tips - verbs meta: _edit_last: '29' author: login: Petra Kralj email<EMAIL_ADDRESS>display_name: Petra Kralj first_name: Petra last_name: Kralj ---
In the previous article, I focused on the basic characteristics by which a good scientific paper is defined. Another important aspect of a high-quality coherent text, is its agreement to basic linguistic rules. Here’s what you should pay attention to when selecting words, expressions and using abbreviations.
Verbs
Verb formation is an important linguistic structure to pay attention to while writing. Proper scientific papers are objective and impartial. These features are stressed by using passive voice. It should be done with care, though, while passive form adds a more distant touch, the text can also lose its comprehensibility (it loses its rhythm) (Milas, 2005; Silobrčić, 1998).
Expressions
Another important aspect to consider is the use of words. Local dialect and colloquial phrases should be avoided, a scientific text should only be written in standard language. Also, one should be careful while using numeric descriptions. Ambiguous numeric definition phrases like ‘quite’, ‘almost everybody’, ‘very few’, etc can lead to personal (read: various) interpretation(s). Following the mentioned rules however keeps the scientific text clear, precise and it leaves no room for misinterpretation of what was meant (Milas, 2005).
Abbreviations
Scientists often like to use abbreviations and acronyms. There is a simple guideline to follow while using them: when introducing the abbreviation for the first time, write the whole phrase/word and put the abbreviation in brackets. This is done so the reader can know throughout the text, to what the abbreviation is referring. Furthermore, whenever possible, avoid such shortcuts in titles, in abstracts and in summaries of articles (Silobrčić, 1998).
Summary: tips to follow
Correct usage of linguistic phrases ensures clarity, preciseness, comprehensibility and smooth reading of the text. Therefore, direct special attention to the use of correct, unambiguous and direct linguistic phrases and forms which, if used properly, support delivering the meaning of the scientific text.
References
Milas, G. (2005). Istraživačke metode u psihologiji i drugim društvenim znanostima. Jastrebarsko: Naklada Slap
Silobrčić, V. (1998). Kako sastaviti, objaviti i ocijeniti znanstveno djelo. Zagreb: Medicinska Naklada
Edited by: Maris Vainre


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--- title: DDU's Dirty-MNIST keywords: fastai sidebar: home_sidebar summary: "You'll never want to use MNIST again for OOD or AL." description: "You'll never want to use MNIST again for OOD or AL." nb_path: "index.ipynb" ---
You can find the paper here: https://arxiv.org/abs/2102.11582.
Please cite us using:
@article{mukhoti2021deterministic,
title={Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty},
author={Mukhoti, Jishnu and Kirsch, Andreas and van Amersfoort, Joost and Torr, Philip HS and Gal, Yarin},
journal={arXiv preprint arXiv:2102.11582},
year={2021}
}
pip install ddu_dirty_mnist
After installing, you get a Dirty-MNIST train or test set just like you would for MNIST in PyTorch.
import ddu_dirty_mnist
dirty_mnist_train = ddu_dirty_mnist.DirtyMNIST(".", train=True, download=True, device="cuda")
dirty_mnist_test = ddu_dirty_mnist.DirtyMNIST(".", train=False, download=True, device="cuda")
len(dirty_mnist_train), len(dirty_mnist_test)
Create torch.utils.data.DataLoader
s with num_workers=0, pin_memory=False
for maximum throughput, see the documentation for details.
import torch
dirty_mnist_train_dataloader = torch.utils.data.DataLoader(
dirty_mnist_train,
batch_size=128,
shuffle=True,
num_workers=0,
pin_memory=False,
)
dirty_mnist_test_dataloader = torch.utils.data.DataLoader(
dirty_mnist_test,
batch_size=128,
shuffle=False,
num_workers=0,
pin_memory=False,
)
import ddu_dirty_mnist
ambiguous_mnist_train = ddu_dirty_mnist.AmbiguousMNIST(".", train=True, download=True, device="cuda")
ambiguous_mnist_test = ddu_dirty_mnist.AmbiguousMNIST(".", train=False, download=True, device="cuda")
ambiguous_mnist_train, ambiguous_mnist_test
Again, create torch.utils.data.DataLoader
s with num_workers=0, pin_memory=False
for maximum throughput, see the documentation for details.
import torch
ambiguous_mnist_train_dataloader = torch.utils.data.DataLoader(
ambiguous_mnist_train,
batch_size=128,
shuffle=True,
num_workers=0,
pin_memory=False,
)
ambiguous_mnist_test_dataloader = torch.utils.data.DataLoader(
ambiguous_mnist_test,
batch_size=128,
shuffle=False,
num_workers=0,
pin_memory=False,
)


Olivér Kocsis is a Hungarian pianist, keyboarder and composer.
He studied jazz and popular music in Budapest and Vienna after which he moved to Barcelona meeting and playing with a great amount of musicians from all over the world.
His first project was Bachstage Trio where he made arrangements of classical pieces played by double bass, classical guitar and piano involving ideas from pop, jazz, funk, reggae and all kinds of music maintaining the sense of classical composition. After a few years in Vienna, moving back to Budapest he became a member of many music groups in Hungary, such as Vibe, Torres Dani, Revo project, Mondd Blanzs and many jam sessions.
After three years in Hungary he decided to move to Barcelona, where he met Giuseppe Campisi and Roger Gutiérrez, with whom he made his first EP, "Above the Stars" and a single, "Call Me Maybe". Inspired by musicians such as Avishai Cohen, Brad Mehldau or Esbjörn Svensson, his music features strong grooves, playing with rhythmical ideas and oriental melodies in a laid-back manner.


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