Defined in: pushpop-table-view.js.
Class Summary
| |
Creates a new data source for a TableView.
|
Method Summary
| {Pushpop.TableViewCell} |
Returns a TableViewCell for the specified index.
|
| {Pushpop.TableViewDataSource} |
Creates and returns a new data source for the row at the specified index if the item at
that index contains a child data source as determined by the rowHadChildDataSourceAtIndex()
method.
|
| {String} |
Returns a string that specifies a key on this data source's objects that may contain
an array of data for a child data source.
|
| {Array} |
Returns the in-memory data set this data source will provide to the table view.
|
| {String} |
Returns the default reuse identifier that this data source will use when a
reuse identifier is not specified for a particular item.
|
| {Array} |
Returns the filtered in-memory data set this data source will provide to the table view.
|
| {Object} |
Returns the item at the specified index of the filtered data set contained within this
data source.
|
| {Function} |
Returns the current filter function for searching this TableView.
|
| {Object} |
Returns the item at the specified index of the complete data set contained within this
data source.
|
| {Number} |
Returns the number of filtered items contained within this data source.
|
| {Number} |
Returns the total number of items contained within this data source.
|
| {Number} |
Returns the number of rows provided by this data source.
|
| {Pushpop.TableView} |
Returns the TableView this data source is bound to.
|
| {Array} |
Returns an array containing the key/value pairs for all "values" contained within the data
source.
|
| {Object} |
Returns an object containing the data for all "values" contained within the data source.
|
| {Boolean} |
Returns a flag indicating whether or not the row at the specified index contains a child
data source.
|
| |
Sets a string that specifies a key on this data source's objects that may contain
an array of data for a child data source.
|
| |
Sets the in-memory data set this data source should provide to the table view.
|
| |
Sets the default reuse identifier that this data source will use when a
reuse identifier is not specified for a particular item.
|
| |
Sets a filter function to be used when searching this TableView.
|
| |
Sets the TableView this data source should be bound to.
|
| {Boolean} |
Determines if the table should be reloaded following a change in the search string.
|
| {Boolean} |
Returns a flag indicating whether or not the row at the specified index should be able
to be selected.
|
Class Detail
Pushpop.TableViewDataSource(dataSet, defaultReuseIdentifier)
Creates a new data source for a TableView.
- Parameters:
-
{Array} dataSet
Optional
- An optional array of data to initialize a default data source.
-
{Array} dataSet.id
Optional
- The unique identifier for a specific record.
-
{Array} dataSet.value
Optional
- The (sometimes) hidden value for a specific record.
-
{Array} dataSet.title
Optional
- The title to be displayed in a TableViewCell for a specific record.
-
{String} defaultReuseIdentifier
Optional
- The optional reuse identifier to be used for rows that do
not specify a specific reuse identifier.
Method Detail
Returns a TableViewCell for the specified index.
NOTE: This is the default implementation and should be overridden for data
sources that are not driven directly from an in-memory data set.
- Parameters:
-
{Pushpop.TableView} tableView
- The TableView the TableViewCell should be returned for.
-
{Number} index
- The index of the data to be used when populating the TableViewCell.
Creates and returns a new data source for the row at the specified index if the item at
that index contains a child data source as determined by the rowHadChildDataSourceAtIndex()
method.
NOTE: This is the default implementation and should be overridden for data
sources that are not driven directly from an in-memory data set. In the default implementation,
the |dataSourceKey| that is set using the setDataSourceKey() method is used to retrieve the
array of objects for that key on the item at the specified index. The array of child objects are
then used to create a new data source. The new data source is automatically given the same child
data source key in order to continue chaining nested data n-levels deep.
- Parameters:
-
{Number} index
- The index of the row to retrieve a child data source for.
{String}
getChildDataSourceKey()
Returns a string that specifies a key on this data source's objects that may contain
an array of data for a child data source.
{Array}
getDataSet()
Returns the in-memory data set this data source will provide to the table view.
NOTE: This may not be utilized by a custom data source.
{String}
getDefaultReuseIdentifier()
Returns the default reuse identifier that this data source will use when a
reuse identifier is not specified for a particular item.
{Array}
getFilteredDataSet()
Returns the filtered in-memory data set this data source will provide to the table view.
NOTE: This may not be utilized by a custom data source.
{Object}
getFilteredItemAtIndex(index)
Returns the item at the specified index of the filtered data set contained within this
data source.
NOTE: This method is called directly by the table view's rendering process.
It should yield the same data that is used by the getCellForRowAtIndex method in most cases.
IMPORTANT: When working with a data source that is driven from an in-memory data set,
this method should ALWAYS be used to access elements from the filtered data set. It is NOT
RECOMMENDED that the elements be accessed using "[ ]" notation on the filtered data set's
array directly.
- Parameters:
-
{Number} index
- The index of the item in the filtered data set to retrieve within
this data source.
Returns the current filter function for searching this TableView.
NOTE: This may not be utilized by a custom data source.
{Object}
getItemAtIndex(index)
Returns the item at the specified index of the complete data set contained within this
data source.
NOTE: This method is not typically used during the table view's rendering
process. It is intended more for data-centric operations on this data source
(e.g.: searching, filtering).
IMPORTANT: When working with a data source that is driven from an in-memory data set,
this method should ALWAYS be used to access elements from the complete data set. It is NOT
RECOMMENDED that the elements be accessed using "[ ]" notation on the complete data set's
array directly.
- Parameters:
-
{Number} index
- The index of the item in the complete data set to retrieve within
this data source.
{Number}
getNumberOfFilteredItems()
Returns the number of filtered items contained within this data source.
NOTE: This method is called directly by the table view's rendering process.
It should yield the same result as the getNumberOfRows method in most cases.
IMPORTANT: When working with a data source that is driven from an in-memory data set,
this method should ALWAYS be used to determine the length of the filtered data set. It is
NOT RECOMMENDED that the |length| property be accessed on the filtered data set's array
directly.
{Number}
getNumberOfItems()
Returns the total number of items contained within this data source.
NOTE: This method is not typically used during the table view's rendering
process. It is intended more for data-centric operations on this data source
(e.g.: searching, filtering).
IMPORTANT: When working with a data source that is driven from an in-memory data set,
this method should ALWAYS be used to determine the length of the complete data set. It is
NOT RECOMMENDED that the |length| property be accessed on the data set's array directly.
{Number}
getNumberOfRows()
Returns the number of rows provided by this data source.
NOTE: This is the default implementation and should be overridden for data
sources that are not driven directly from an in-memory data set.
Returns the TableView this data source is bound to.
{Array}
getValuesArray(keyFieldName, valueFieldName)
Returns an array containing the key/value pairs for all "values" contained within the data
source. This is typically used for retrieving form fields stored within a table view and
behaves similarly to jQuery's .serializeArray() function.
- Parameters:
-
{String} keyFieldName
Optional
- The name of the field in the data source containing the
values' keys. If not specified, the default value is 'name'.
-
{String} valueFieldName
Optional
- The name of the field in the data source containing the
values' values. If not specified, the default value is 'value.
{Object}
getValuesObject(keyFieldName, valueFieldName)
Returns an object containing the data for all "values" contained within the data source.
This is typically used for retrieving form fields stored within a table view.
NOTE: If a field name occurs more than once, its values will be put into an
array.
- Parameters:
-
{String} keyFieldName
Optional
- The name of the field in the data source containing the
values' keys. If not specified, the default value is 'name'.
-
{String} valueFieldName
Optional
- The name of the field in the data source containing the
values' values. If not specified, the default value is 'value.
{Boolean}
rowHasChildDataSourceAtIndex(index)
Returns a flag indicating whether or not the row at the specified index contains a child
data source.
NOTE: This is the default implementation and should be overridden for data
sources that are not driven directly from an in-memory data set. In the default implementation,
the |dataSourceKey| that is set using the setDataSourceKey() method is used to determine if an
array of objects exists for that key on the item at the specified index.
- Parameters:
-
{Number} index
- The index of the row to determine whether or not it contains a child data source.
setChildDataSourceKey(childDataSourceKey)
Sets a string that specifies a key on this data source's objects that may contain
an array of data for a child data source.
- Parameters:
-
{String} childDataSourceKey
- A string containing a key on this data source's
objects that may contain a child data source.
setDataSet(dataSet)
Sets the in-memory data set this data source should provide to the table view.
NOTE: This may not be utilized by a custom data source.
- Parameters:
-
{Array} dataSet
- The set of data that this data source should provide to the table view.
setDefaultReuseIdentifier(reuseIdentifier)
Sets the default reuse identifier that this data source will use when a
reuse identifier is not specified for a particular item.
- Parameters:
-
{String} reuseIdentifier
- The reuse identifier to set as default.
setFilterFunction(filterFunction)
Sets a filter function to be used when searching this TableView.
The filter function gets called for each item in the data set during a search. A
valid filter function must take two parameters (regExp, item) and return a Boolean value. The
|regExp| parameter contains a RegExp object based on the search string to be used to match items
in the data set. The |item| parameter contains an item from the data set that the search string
in the RegExp should be tested against. The provided filter function should return a Boolean
value: |true| if the item should match the search string or |false| if it should be filtered out.
NOTE: This may not be utilized by a custom data source.
- Parameters:
-
{Function} filterFunction
- The filter function to be used when searching this TableView.
setTableView(tableView)
Sets the TableView this data source should be bound to.
- Parameters:
-
{Pushpop.TableView} tableView
- The TableView to bind this data source to.
{Boolean}
shouldReloadTableForSearchString(searchString, isCaseSensitive)
Determines if the table should be reloaded following a change in the search string.
The default implementation assumes that the data set is fully loaded into
memory and executes the current filter function against each item in the data set. If the
filtered data set has changed since the last reload, it will return |true| which will force
the associated TableViewSearchBar to reload the data for the TableView. In a custom data
source that does not use an in-memory data set (e.g.: WebSQL or HTML5 LocalStorage), it is
recommended to override this method to perform any necessary queries asynchronously and
immediately return |false|. Once the asynchronous queries have completed, the application
should then manually call .reloadData() on the TableView to force an update (See the WebSQL
demo for an example on this implementation).
- Parameters:
-
{String} searchString
- The search string to be used for matching items in the data set.
-
{Boolean} isCaseSensitive
Optional
- An optional boolean flag for forcing a case-sensitive search.
{Boolean}
shouldSelectRowAtIndex(index)
Returns a flag indicating whether or not the row at the specified index should be able
to be selected.
NOTE: This is the default implementation and should be overridden if certain
rows should not be able to be selected.
- Parameters:
-
{Number} index
- The index of the row to determine whether or not it should be selectable.


heap
array
]
Leetcode 1675. Minimize Deviation in Array
https://leetcode.com/problems/minimize-deviation-in-array
Let us look more carefully at this problem: how can some value be changed, let us look at several examples:
3 -> 6, 5 -> 10, 7 -> 14
, that is for odd number we can have only two candidates.
2 -> 1, 4 -> 2 -> 1, 6 -> 3, 8 -> 4 -> 2 -> 1, 10 -> 5, 12 -> 6 -> 3
and so on
Now, we can reformulate our problem in the following way: we are given several lists and we need to choose candidate from each of these lists, such that deviation is minimized. This is exactly what problem 632 Smallest Range Covering Elements from K Lists is about and we can reuse the idea.
So, we have lists L1, l2, ..., Ln
and let us put all smallest values from each list to heap. On each step we extract the smallest element num
from heap and put 2*num
to this heap if it is possible and update range. How we can understand if we need to put new element to heap? We need to keep pairs (num, limit)
in our heap, for example:
3
-> candidates (3,6)
, what we put it heap on the first step is (3, 6)
.
12
-> candidates (3, 6, 12)
, what we put in heap on the first step is (3, 12)
.
Also we need to keep maximum value of elements in heap Max
and update it when needed.
Complexity: time complexity is O(m log n)
, where n
is length of nums
and m
is total number of candidates, we can estimate it as m = O(n log K)
, where K
is the biggest number. Finally, it will be O(n log n log K)
. Space complexity is O(n)
to keep our heap.
class Solution:
def minimumDeviation(self, nums):
heap = []
for num in nums:
tmp = num
while tmp%2 == 0: tmp//=2
heap.append((tmp, max(num, tmp*2)))
Max = max(i for i,j in heap)
heapify(heap)
ans = float("inf")
while len(heap) == len(nums):
num, limit = heappop(heap)
ans = min(ans, Max - num)
if num < limit:
heappush(heap, (num*2, limit))
Max = max(Max, num*2)
return ans
If you like the solution, you can upvote it on leetcode discussion section: Problem 1675


Examples with operational amplifiers
| Name | Description |
|---|---|
| InvertingAmp | Inverting amplifier |
| NonInvertingAmp | Non-inverting amplifier |
| VoltageFollower | Reproduce input voltage |
| Differentiator | Differentiating amplifier |
| Integrator | Integrating amplifier |
| LowPass | Low-pass filter |
| HighPass | High-pass filter |
| Comparator | Comparator |
| InvertingSchmittTrigger | Inverting Schmitt trigger with hysteresis |
| SchmittTrigger | Schmitt trigger with hysteresis |
| Multivibrator | Multivibrator with Schmitt trigger |
| SignalGenerator | Rectangle-Triangle generator |
| LCOscillator | LC oscillator |


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 Respondent(s) ((1) IN RE: SMOG TOWERS AND STUBBLE BURNING(i) REPORT NO. 106 SUBMITTED BY EPCA (SPECIAL REPORT ON POLLUTION HOT SPOTS IN NCR WITH REQUEST FOR URGENT DIRECTIONS TO IMPROVE ENFORCEMENT AND POLLUTION CONTROL)(ii) IA NO. 127792/2017 (DISPOSED OF) (APPLN. FOR DIRECTIONS FILED BY A.C.)(iii) IA NOS. 158128 AND 158129/2019 (APPLNS. FOR INTERVENTION AND DIRECTIONS ON BEHALF OF DR. KAUSHAL KANT MISHRA)(iv) IA NO. 181745/2019 AND IA NO. 46339/2020(APPLNS. 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WITH SMW(C) No. 3/2019 (PIL-W) Signature Not Verified (FOR ADMISSION) Digitally signed by Narendra Prasad Date: 2020.08.11 W.P.(C) No. 1333/2019 (PIL-W) 18:10:49 IST Reason: (FOR ADMISSION and IA No.170316/2019-EX-PARTE STAY and IA No.170317/2019-PERMISSION TO APPEAR AND ARGUE IN PERSON) 1 T.C.(C) No. 42/2019 (XVI-A) T.C.(C) No. 41/2019 (XVI-A) W.P.(C) No. 1426/2019 (PIL-W) (FOR ADMISSION) Date : 10-08-2020 These matters were called on for hearing today. CORAM : HON'BLE MR. JUSTICE ARUN MISHRA HON'BLE MR. JUSTICE B.R. GAVAI HON'BLE MR. JUSTICE KRISHNA MURARI Counsel for parties Mr. Harish N. Salve, Sr. Advocate (A.C.) (N.P.) Ms. Aparajita Singh, Sr. Advocate (A.C.) Mr. A.D.N. Rao, Advocate (A.C.) Mr. Siddhartha Chowdhury, Advocate (A.C.) Mr. Tushar Mehta, Solicitor General Ms. Aishwarya Bhati, ASG Ms. Suhasini Sen, Advocate Mr. D.L.Chidananda, Advocate Mr. S.S.Rebello, Adv. Mr. Rajat Nair, Adv. Mr. G.S. Makker, Adv. Mr. Rajesh Kumar Singh,Adv. Mr. Raj Bahadur Yadav,Adv. 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Mr. Amit Kumar Singh,Adv. Mr. Siddhesh Kotwal,Adv. Mr. Divyansh Tiwari,Adv. Ms. Astha Sharma, Adv. Ms. Madhumita Bhattacharjee, Adv. Mr. K.V. Jagdishvaran,Adv. Ms. G. Indira, Adv. Mr. Mukesh Verma,Adv. Mr. Yash Pal Dhingra, Adv. Mr. Keshav Mohan,Adv. Mr. R.K. Awasthi,Adv. Mr. Prashant Kumar,Adv. Mr. Piyush Vatsa,Adv. Mr. Santosh Kumar - I, Aor Mr. Mahfooz Ahsan Nazki, Adv. Mr. Polanki Gowtham,Adv. Mr. Amitabh Sinha,Adv. 4 Mr. Ajay Aggarwal,Adv. Mr. Kishan Rawat,Adv. Mr. Rajan Narain, Aor Mr. Jishnu M.L.,Adv. Ms. Priyanka Prakash,Adv. Ms. Beena Prakash, Adv. Mr. G. Prakash, Aor Mr. Amitabh Chaturvedi, Adv. Mr. Navneet Panwar, Adv. Mr. Sangeeth Mohan, Adv. Mr. Mrityunjay Kumar Sinha, Adv. Mr. Achyuth Ajithkumar, Adv. Mr. Talha Abdul Rahman, AOR Ms. Tanya John, Adv. Mr. Dhruv Mehta, Sr. Adv. Ms. Ranjana Roy Gawai, Adv. Ms. Vasudha Sen, Adv. Ms. Prachi Golechha, Adv. Ms. Ananya Chug, Adv. Ms. Divya Roy, Adv. Mr. Shrivenkatesh, Adv. Ms. Nishtha Kumar, Adv. Mr. vikas Mani, Adv. Mr. Dinesh Dwivedi, Sr. Adv. Ms. Jyoti Mendiratta, Adv. Mr. Chirag M. Shroff, Adv. Ms. Sanjana Nangia,Adv. Ms. Abhilasha Bharti, Adv. Mr. Sanjay Khirwar, Principal Secretary Mr. S. Prabakaran, Sr. Adv. Mr. R. Balasubramanian, Sr. Adv. Mr. Ram Sankar, Adv. Ms. G. Chitrakala, Adv. Ms. Sujata Bagadhi, Adv. Mr. Ashish Upadhyay, Adv. Ms. Divya, Adv. for Ram Sankar & Co. Mr. Pukhrambam Ramesh Kumar, Adv. Ms. Anupama Ngangom, Adv Mr. Karun Sharma, Adv. Mr. Shresth Sharma, Adv. Dr. Manish Singhvi, Sr. Advocate Mr. Sandeep Kr. Jha, Adv. 5 Mr. Kumar Anurag Singh, Advocate Mr. Nishant Piyush, Advocate Ms. Tulika Mukherjee, Adv. Mr. Preetpal Singh, Adv. Mr. Ranjay Dubey, Adv. Ms. Yati Sharma, Adv. Ms. Priya Puri, AOR Mr. C. K. Rai, AOR Mr. Rajat Jariwal,Adv. Applicant-in-person Petitioner(s)-in-person Ms. Sakshi Kakkar, AOR Applicant-in-person, AOR Petitioner-in-person Mr. Neeraj Shekhar, AOR Mr. Satya Mitra, AOR Ms. Nidhi Mohan Parashar, AOR Mr. Yoginder Handoo, AOR Mr. Praveen Swarup, AOR Mr. Nikunj Dayal, AOR Mr. Anurag Kishore, Adv. Mr. Anurag Sharma, Adv. Mr. P. K. Jain, AOR Mr. Ramesh Babu M. R., AOR Mr. Rajesh Kumar Chaurasia, AOR Mr. Gurmeet Singh Makker, AOR Mr. Mukesh Kumar Maroria, AOR Mr. Pradeep Kumar Bakshi, AOR Mr. Sandeep Narain, AOR M/S. Khaitan & Co., AOR Mr. Dinesh Dwivedi, Sr. Adv. Ms. Jyoti Mendiratta, Adv. Mr. Chirag M. Shroff, AOR Ms. Sanjana Nangia, Adv. Ms. Abhilash Bhati, Adv. Mr. Vijay Kumar Dev, SC,Delhi Mr. Sanjeev Khirwar, Pr. Secy. Petitioner-In-Person Mr. G.S. Makker, Advocate 6 Mr. Sanjay Kr. Visen, Advocate Mr. Kamlendra Mishra, Advocate Mr. Sandeep Kr. Jha, Advocate Ms. Uttara Babbar, Advocate Mr. B.V. Balramdas, Advocate Mr. Chirag M. Shroff, Advocate Mr. Praveen Swarup, Advocate Mr. Abhishek, Advocate Mr. Senthil Jagdeesan, Advocate Mr. D.N. Goburdhun, Advocate Ms. Ruchi Kohli, Advocate Ms. Divya Roy, Advocate Ms. Tulika Mukherjee, Advocate Mr. Santosh Kumar 1, Advocate Mr. Jogy Scaria, Advocate Mr. Tapesh K. Singh, Advocate Mr. Shuvodeep Roy, Advocate Mr. Narendra Kumar, Advocate Mr. V.G. Pragasam, Advocate Mr. M. Shoeb Alam, Advocate Mr. V.N. Raghupathy, Advocate Mr. M. Yogesh Kanna, Advocate Mr. Ashutosh Dubey, Advocate Mr. Shovan Mishra, Advocate Mr. Vinay Garg, Advocate Mr. Vinod Sharma, Advocate Mr. Sameer Shrivastava, Advocate Mr. R.C. Kohli, Advocate Ms. K. Enatoli Sema, Advocate Mr. Vipin Nair, Advocate Ms. Astha Sharma, Advocate Ms. Madhumita Bhattacharjee, Advocate Mr. Anuj Bhandari, Advocate Ms. G. Indira, Advocate Mr. Yash Pal Dhingra, Advocate Mr. Yoginder Handoo, Advocate Mr. Subhro Sanyal, Advocate Mr. Gaurav Srivastava, Advocate Mr. Mahfooz Ahsan Nazki, Advocate Mr. Kuldip Singh, Advocate Mr. Rahul Narayan, Advocate Mr. Rohit K. Singh, Advocate M/S S Narain And Co., Advocate Ms. Garima Prashad, Advocate M/S S. Narain And Co., Advocate Ms. Pritha Srikumar Iyer, Advocate Mr. Alok Shukla, Advocate Mr. Pranav Sachdeva, Advocate Mr. Shiv Sagar Tiwari, Advocate Mr. Tarun Johri, Advocate M/S M.V. Kini And Associates, AOR Mr. Mritnjay Kr. Sinha, Advocate Mr. Vikrant Singh Bais, Advocate 7 Mr. Kuldip Singh, Advocate Mr. Anurag Kishore, Advocate Ms. Nidhi Mohan Parashar, Advocate Mr. Prakash Ranjan Nayak, Advocate Ms. Priya Puri, Advocates Applicant(s)-in-person Petitioner(s)-in-person Mr. Anilendra Pandey,Adv. Mr. Gurmeet Singh Makker,Adv. Mr. Gaurav Sharma,Adv. Mr. C.K. Rai,Adv. UPON hearing the counsel the Court made the following O R D E R
IN RE: SMOG TOWERS AND STUBBLE BURNING REPORT NO. 106 SUBMITTED BY EPCA (Special Report on pollution hot spots in NCR with request for urgent directions to improve enforcement and pollution control) IA NO. 127792/2017(DISPOSED OF) (Application for direction submitted in Court by A.C. on 17.11.2017) IANOS. 158128 AND 158129/2019 (Applns. For intervention and directions on behalf of Dr. Kaushal Kant Mishra) IN RE : AFFIDAVIT FILED ON BEHALF OF STATE OF PUNJAB We have heard the Chief Secretary to the State of Punjab and the learned Amicus Curiae appearing in the matter on the following aspects:-
a) With respect to the technology developed by the Agricultural Finance Corporation Ltd., we want to know the exact period which would be consumed for dissolution of the stubble. Let the Government of India and concerned States ascertain the period from the Corporation and file an affidavit in this regard along with the requisite documents obtained from the Corporation.
b) With respect to Cattle Food, we have requested the Chief 8 Secretary to the State of Punjab to point out a ground level arrangement for collection of stubble which can be used as cattle food.
c) We have requested the Chief Secretary to the State of Punjab to specify where the biomass projects are situated and what is the distance from the hot spots where the stubble burning is taking place. Let the catchment areas in the existing biomass plants be also stated in the affidavit. Let it be specified before the next date of hearing.
d) Let final decision taken by the appropriate High Level Committee with respect to incentives and dis-incentives be stated on affidavit before the next date of hearing.
e) With respect to advertisement issued on 02.8.2020, it is stated by the Chief Secretary that the applications invited are going to be opened on 17.08.2020 and decision is going to be taken immediately.
Let the steps taken in this regard be stated on affidavit before the next date of hearing.
f) Steps taken with respect to dedicated equipments reserved for small and marginal farmers for weeding/cutting of the stubble be indicated on affidavit before the next date of hearing.
g) It is stated by the Chief Secretary that there are eight districts in which hot spots have been identified where the stubble burning took place.
The targets to be achieved be stated on affidavit before the next date of hearing.
h) It is stated in Para 1(e) of the affidavit that PAU, Ludhiana 9 has issued notice calling for empanelment of firms for supply of machinery and it is in process to complete the given task. Previous empanelment of manufacturers is being continued. Let the steps taken pursuant to the notice issued by PAU, Ludhiana be also stated in the affidavit. List of new manufactures empanelled be also stated before the next date of hearing.
i) A conference was organized to discuss problem. Let the outcome of the Conference held by Department of Agriculture on 07.08.2020 and the decision taken and steps in that regard, if any, be stated on affidavit.
j) In Paragraph 1 (i) of the affidavit, it is stated that the Government of India has since approved a Revised Action Plan of Rs. 250 Crores and revalidation of unutilised fund of Rs. 31.85 Crores pertaining to the year 2019-2020.
Let the plan be placed on record and steps taken for implementation thereof be stated and whether the unutilised fund of the previous year i.e. Rs.31.85 Crores has been utilised this year and/or how it is proposed to be utilised.
k) With respect to involvement of the Panchayat, actual implementation of the various projects and how to prevent the stubble burning and the role assigned to Panchayats be specifically stated on affidavit.
l) Total 7378 Custom Hiring Centers are said to be operating. What is the scheme/arrangement made in those Custom Hiring Centers by the State Government for dedicating certain machines/equipments at the cost of the State, to provide equipments to the small and marginal farmers, be also stated on affidavit. 10
m) With respect to incentive and dis-incentives to be provided to the farmers, let a firm decision be taken by various stakeholders, including the Government of India, and the arrangements for the fund, be also stated on affidavit.
n) Let the details be given with respect to identification for management of hot spots, as stated in item B(1) of the chart in affidavit dated 07.08.2020 filed on behalf of the State of Punjab, as identified by IIT, Delhi. In case it has not been done, how much time it is going to take for making identification of the hot spots for management of air pollution control, be also stated on affidavit.
o) It is stated in item B(2) of the chart in affidavit dated 07.08.2020 filed on behalf of the State of Punjab that PPCB has identified 2279 industries located in 5 kms of MC limit out of which Board has carried out 2046 visits, approximately 89.77%, and 243 industries have been found non-compliant.
We find mention that ‘the action against these industries is under process’, is a vague statement made in the affidavit. What action is taken against those industries, when the industries have been found non-compliant by PPCB, be clearly stated industry-wise on affidavit. Details may be obtained from the PPCB and be stated in a tabular form in a separate chart. It may also be mentioned whether those industries have been sealed and if not closed down, what is the deficiency found by the PPCB be also stated in detail.
p) It is stated in item B(3) of the the chart in affidavit dated 07.08.2020 that regular enforcement is being made by the State and necessary challans have been made. Let the details with respect to 11 the same and action taken be stated in the affidavit.
q) Let the details be submitted with respect to compliance of the SMW Rules, 2016 adopted by all 167 ULBs of Punjab. Adoption of Rules is not going to help out the cause, but the actual implementation. How many ULBs have been implemented and Directives and the Rules on non-compliance be clearly indicated in the affidavit within three weeks.
r) Let the time frame for remaining Honeycomb aerobic compost pits be also stated in the affidavit.
s) With respect to total installed STPs and CETPs, the total requirement and the deficiency in that regard be stated in the affidavit and what is the plan for removing the deficiency in this regard.
Let the time frame to complete the additional STPs and CETPs be also stated in the affidavit.
t) It is stated that notification of State Policy for construction and demolition of waste management is under process. Let the details be given about it as well as how many contractors have been challaned for violation of the Construction and Demolition of Waste Management Rules, 2016. u) As regards Item No. D(2), details be furnished about the action taken by the ULBs within three weeks from today.
v) As regards Item No. D(3), let the Chief Secretary state as to what is the requirement in the State with respect to existing facilities of Recycling of construction and demolition waste and how much time it will take to complete the pending projects. Let it be stated before the next date of hearing. 12 IN RE : AFFIDAVIT FILED ON BEHALF OF GOVT. OF NCT OF DELHI
a) Let the Government consider with respect to Kerosene, we have noted from the various affidavits that Kerosene is being burnt in the vehicles. Merely to challan those vehicles and imposing fines is going to be sufficient as burning of Kerosene is most dangerous to the human health, it causes cancer and various other diseases.
It was stated by Mr. Gopal Shankarnarayan, learned senior counsel, that a notification has been issued pursuant to the order passed by this Court with respect to specification of the control area and giving powers of confiscation. Let the number of control areas be specified and notification issued under Section 19 read with Section 20 of The Air (Prevention and Control of Pollution) Act, 1981 be placed before the next date of hearing.
Let Ms. Aishwarya Bhati, learned ASG, take instructions in this regard and file an affidavit. Let EPCA also point out the aforesaid aspects as to how many control areas have been declared under Section 19 read with Section 20 of the Act. IN RE : ANTI-SMOG GUNS
b) Let details be stated with respect to the compliance of the directions issued by this Court in Delhi and NCR relating to Anti Smog Guns. It was stated that there are 20 operational projects and 13 are yet to comply with it.
Let the details be given of non-compliant projects and action taken.
IN RE : PLASTIC INDUSTRIES
c) With respect to the various affidavits filed in February, 13 March and on 28.07.2020, we have requested the Chief Secretary pursuant to the order dated 13.01.2020, the actual status as on today and the steps to be taken to take care thereof be placed on record. Let the details be furnished with respect to current position at the ground level before the next date of hearing. Then, we will further hear the Chief Secretary with respect to the compliance of the order dated 13.01.2020.
*********************** IN RE : AFFIDAVIT FILED ON BEHALF OF STATE OF HARYANA Let an affidavit as to the current position be filed before the next date of hearing on the similar terms, as directed above to Delhi and the State of Punjab. We will hear the Chief Secretary to the State on the next date of hearing.
List on 20.08.2020.
IN RE : AFFIDAVIT FILED ON BEHALF OF UTTAR PRADESH Let details be furnished with respect to the current position, as ordered above in the case of Delhi/State of Punjab. We will hear the Chief Secretary to the State on the next date of hearing. Let an affidavit be filed on behalf of NOIDA/Greater Noida, as requested by Mr. Ravinder Kumar, learned counsel, during the course of the day and we will consider it on the next date of hearing. List on 20.08.2020.
***************** SMOG TOWERS The matter of Smog Towers be taken up tomorrow i.e. on 14 11.08.2020. Let a copy of the affidavit filed on behalf of the MoEF be furnished to Mr. Sanjiv Sen, learned senior counsel appearing on behalf of the IIT, Bombay.
*************** I.A. No. 158129 of 2019 The prayer made in the additional affidavit dated 06.08.2020 opposing installation of smog towers on trial basis is found to be totally meritless. The prayer made is totally impermissible and is, in fact, intending for recall of the order passed by this Court. The prayer is rejected.
I.A.No. 158129 of 2019 is hence dismissed. IA NOS. 181745/2019 AND 46339/2020 (Applications for Intervention and Directions on behalf of Harshita Singhal) WITH REPORT NO. 110 & 112 SUBMITTED BY EPCA We have gone through the affidavit filed by the Municipal Corporations as well as by the State of Rajasthan with respect to the management of bio-medical waste. We want to know factual data as to how much collection has been made from the home quarantine persons and how it has been actually segregated and how much quantity has been collected so far as well as in the area which are declared to be containment zone and about the mode of collection of waste an method of segregation, before the next date of hearing.
Let the Municipal Corporations verify and file an affidavit in this regard.
List on 20.08.2020.
********************* REPORT NO. 111 SUBMITTED BY EPCA Ms. Aishwarya Bhati, learned ASG, has prayed for time to 15 obtain instructions from the Railway with respect to the removal of the garbage from the sides of the Railway Tracks. Let a affidavit be filed by a responsible Secretary/Joint Secretary of the Railways in this regard by 18.08.2020. Let concerned Corporations also respond to the same. List on 20.08.2020.
IN RE: THREE WHEELERS IA NOS. 176097/2018, 39622 /2019, 72210/18 & 72236/18 AND 119813 & 119815/2019 AND 110238/2019 WITH REPORT NO. 105 SUBMITTED BY EPCA With respect to three wheelers, let fresh/additional report be filed by EPCA, as prayed for by Ms. Aparajita Singh, learned Amicus Curiae.
List on 20.08.2020.
IN RE: PARKING POLICY REPORT NO. 104 SUBMITTED BY EPCA (Regarding parking plans for Krishna Nagar, Kamla Nagar, Technology for parking management and plans for last mile connectivity) WITH REPORT NO. 108 SUBMITTED BY EPCA With respect to Parking Policy, this Court has passed an order on 02.09.2019. Parking plans for Krishna Nagar, Kamla Nagar and Lajpat Nagar were taken as pilot projects. It is stated by EPCA in its report that pilot projects are working satisfactorily. Now the learned Amicus Curiae has submitted that the plan is required to be approved for various other places in Delhi and NCR. Let the five Corporations of Delhi work in collaboration with EPCA and concerned authorities of NCR to form a detailed plan and a concrete decision be taken in this regard in formulation of the policy. Let the policy be finalised as far as possible before the 16 next date of hearing.
List on 20.08.2020.
REPORT NO. 109 SUBMITTED BY EPCA (Regarding RFID extension to all entry points into Delhi) It is submitted that as to pollution impact of the reduction in truck entry, the following is the report submitted by the EPCA :
“Pollution impact of the reduction in truck entry” EPCA in its report in October, 2015 had estimated the pollution impact of the truck entering Delhi each night. This was done by estimating the number; age; category and emission factors for the vehicles.
EPCA has now estimated the reduction in pollution load, based on the reduction in the numbers of vehicles entering from the 13 points and also because of the age limit (less than 10 years) that is being enforced through the RFID pre-registration. The results from the 13 points is substantial and suggests that the efforts to mitigate pollution have been rewarded.
There is a 95 per cent reduction in the total particulate load from trucks entering from 13 locations, as compared to 2015. There is 87-94 per cent reduction in NOx loads from light-heavy duty vehicles entering from 13 locations.
To assess the impact of reduction in number of entering goods carries EPCA compared SDMC data for the period 1st Dec 2019 to 1st Jan 2020 with a set of survey data conducted during June-July 2015 of major entry points.” It is agreed to by the learned counsel appearing for EPCA and the Municipal Corporation that on all the 113 entry points, RFID should be implemented and that can be done within the budget which is available.
17 Let the steps be taken in this regard for implementation of the RFID and plan be placed on record before the next date of hearing.
List on 20.08.2020.
IN RE: PET COKE IA NOS. 113743 AND 113750/2019 (Applications for impleadment and Directions on behalf of M/s Bharat Aluminum Co. Ltd.) Let M/s Bharat Aluminum Co. Ltd. submit what was the quantity mentioned in its claim made earlier in the application for distribution on the basis of which such distribution was decided. Let an affidavit be filed by 18.08.2020 in this regard. List on 20.08.2020.
(NARENDRA PRASAD) (JAYANT KUMAR ARORA) (JAGDISH CHANDER) ASTT. REGISTRAR-cum-PS COURT MASTER ASSISTANT REGISTRAR 18


Managing distributed transactions and using the two-phase commit protocol of Berkeley DB from an application requires the application to provide the functionality of a global transaction manager (GTM). The GTM is responsible for the following:
Two-phase commit is required if a transaction spans operations in multiple Berkeley DB environments or across operations in Berkeley DB and some other database systems. If the environments reside on the same machine, the application can communicate with each environment through its own address space with no additional complexity. If the environments reside on separate machines, the application may use its own messaging capability, translating messages on the remote machine into calls into the Berkeley DB library (including the recovery calls).
A global transaction is a transaction that spans multiple
environments. Each global transaction must have a unique
transaction ID. This unique ID is the global transaction ID
(GID). In Berkeley DB, global transaction IDs must be
represented by the character array,
DB_GID_SIZE
(currently 128 bytes). It is
the responsibility of the global transaction manager to assign
GIDs, guarantee their uniqueness, and manage the mapping of
local transactions to GID. That is, for each GID, the GTM
should know which local transaction managers participated. The
Berkeley DB logging system or a Berkeley DB table could be used
to record this information.
In addition to knowing which local environments participate in each global transaction, the GTM must also know the state of each active global transaction. As soon as a transaction becomes distributed (that is, a second environment participates), the GTM must record the existence of the global transaction and all participants (whether this must reside on stable storage or not depends on the exact configuration of the system). As new environments participate, the GTM must keep this information up to date.
When the GTM is ready to begin commit processing, it should issue DB_TXN->prepare() calls to each participating environment, indicating the GID of the global transaction. Once all the participants have successfully prepared, then the GTM must record that the global transaction will be committed. This record should go to stable storage. Once written to stable storage, the GTM can send DB_TXN->commit() requests to each participating environment. Once all environments have successfully completed the commit, the GTM can either record the successful commit or can somehow "forget" the global transaction.
If an application uses nested transactions (that is, the parent parameter is non-NULL in a call to DB_ENV->txn_begin()) then, only the parent transaction should call DB_TXN->prepare(), not any of the child transactions.
Should any participant fail to prepare, then the GTM must abort the global transaction. The fact that the transaction is going to be aborted should be written to stable storage. Once written, the GTM can then issue DB_TXN->abort() requests to each environment. When all aborts have returned successfully, the GTM can either record the successful abort or "forget" the global transaction.
In summary, for each transaction, the GTM must maintain the following:
If a single environment fails, there is no need to bring down or recover other environments (the only exception to this is if all environments are managed in the same application address space and there is a risk that the failure of the environment corrupted other environments). Instead, once the failing environment comes back up, it should be conventionally recovered using the db_recover utility or by specifying the DB_RECOVER flag to DB_ENV->open().
If the db_recover utility is used, then the -e option must be specified. In this case, the application will almost certainly want to specify environmental parameters using a DB_CONFIG configuration file in the environment's home directory, so that the db_recover utility can create an appropriately configured environment.
If the db_recover utility is not used, then the GTM should call DB_ENV->open() specifying the DB_RECOVER flag. It should then call DB_ENV->txn_recover(), which will return an array of DB_TXN handles for the set of prepared, but not yet completed, transactions. For each transaction, the GTM should combine this knowledge with its transaction state table and call either DB_TXN->commit() or DB_TXN->abort(). After that process is complete, the environment is ready to participate in new transactions.
If the GTM is running in a system with multiple GTMs, it is possible that some of the transactions returned by DB_ENV->txn_recover() do not belong to the current environment. The GTM should detect this and call DB_TXN->discard() on each such transaction handle.
Be aware that the environment does not retain information about which GTM has issued DB_ENV->txn_recover() operations. Therefore, each GTM should issue all its DB_ENV->txn_recover() calls before another GTM issues its calls. If the calls are interleaved, each GTM may not get a complete and consistent set of transactions. The simplest way to enforce this is for each GTM to make sure it can receive all its outstanding transactions in a single DB_ENV->txn_recover() call. The maximum number of possible outstanding transactions is roughly the maximum number of active transactions in the environment (whose value can be obtained using the db_stat utility). To simplify this procedure, the caller should allocate an array large enough to hold the list of transactions (for example, allocate an array able to hold three times the maximum number of transactions). If that is not possible, callers should check that the array was not completely filled in when DB_ENV->txn_recover() returns. If the array was completely filled in, each transaction should be explicitly discarded, and the call repeated with a larger array.
The newly recovered environment will forbid any new transactions from being started until the prepared but not yet completed transactions have been resolved. In the multiple GTM case, this means that all GTMs must recover before any GTM can begin issuing new transactions.
The GTM must determine how long it needs to retain global transaction commit and abort records. If the participating environments are following a DB_TXN_SYNC policy, that is, they are forcing commit and abort records to disk before replying to the GTM, then once the GTM has heard from all participants, it need not retain its persistent log records. However, if participating environments are running at weaker durability levels, such as DB_TXN_WRITE_NOSYNC or DB_TXN_NOSYNC, then the GTM must retain all commit and abort records until all participants have completed a checkpoint following the completion of a transaction.
If the GTM fails, it must first recover its local state. Assuming the GTM uses Berkeley DB tables to maintain state, it should run the db_recover utility (or the DB_RECOVER option to DB_ENV->open()) upon startup. Once the GTM is back up and running, it needs to review all its outstanding global transactions. That is, all transactions that are recorded but not yet completed.
The global transactions that have not yet reached the prepare phase should be aborted. For each global transaction that has not yet prepared, the GTM should send a message to each participant telling it to abort its transaction.
Next the GTM should review its log to identify all participating environments that have transactions in the preparing, aborting, or committing states. For each such participant, the GTM should issue a DB_ENV->txn_recover() call. Upon receiving responses from each participant, the GTM must decide the fate of each transaction and issue appropriate calls. The correct behavior is defined as follows:


Overview¶
Chromatin associated RNAs (caRNAs) are proposed as a new layer of the epigenome. Interactions of caRNAs with chromatin are essential for diverse molecular and cellular functions. To genome-wide determine the potential genomic interaction loci of caRNAs, we developed MARGI (MApping RNA-Genome Interactions) [1] technique as well as its improved version called in situ MARGI (iMARGI) [2][3]. Comparing to MARGI, iMARGI carries out the ligation steps in the nuclei instead of in solution. As a result, iMARGI requires much fewer cells for the experiment while obtaining more informative sequencing read pairs.
Here, we introduce the sequencing data analysis pipeline for iMARGI, which is the most critical step for computational workflow of analyzing RNA-genome interactions. The pipeline is distributed in a Docker image, iMARGI-Docker, which delivers all the iMARGI data analysis related tools, such as bwa [4] and pairtools [5]. iMARGI-Docker source code is licensed under the BSD 2 license, and the pre-built Docker image is hosted at Docker Hub.
Generally, the pipeline includes three main steps:
- Cleaning: Clean paired-end sequencing reads in FASTQ format
- Mapping: Map sequencing reads to reference genome
- Parsing: Parse and filter to get valid RNA-DNA interaction pairs from mapped read pairs
For convenience, we provide an all-in-one wrapper script imargi_wrapper.sh
to automate the whole pipeline in one
command line. Users are also able to perform each step separately using its corresponding tool. In addition, we provide
several tools for preparing data for further analysis and visualization.
In this documentation, we illustrate the detail of how to use iMARGI-Docker to perform the pipeline and some instructions for further analysis and visualization.
At first, you need to install Docker CE and pull iMARGI-Docker from Docker Hub, See the Docker container usage instructions. Besides, if you are expert in Linux system configuration and you want to install all the dependencies on your own computer, you can install and configure all the required tools following the dependency tool instructions. As there are a bundle of tools need to be installed, so we strongly recommend using iMARGI-Docker.
Then a quick start example shows the simplest all-in-one command used for deciphering the RNA-DNA interaction map from a real iMARGI dataset. All the detail instructions of the actual processing steps are described in the Step-by-step Illustration section.
Besides, we also provide some instructions and tools for further analysis and visualization of RNA-DNA interaction map. The Further Analysis and Visualization Guides section gives you some guides of further investigating the RNA-DNA interaction map, including generating simple stats report, filtering by genomic distance, converting data formats, annotating RNA/DNA-ends with gene annotations and using GIVE [6] or HiGlass [7] for interactively visualizing RNA-DNA interaction map.
The Technical Notes section shows more technical information about the iMARGI-Docker image. Command-line API section lists all the usages and parameters of all the scripts.
Contents:
- Tools and Installation
- Quick Start Example
- Step-by-step Illustration
- Further Analysis and Visualization Guides
- Technical Notes
- Guides for Issues on Windows and macOS System
- Command-line API
Reference:
[1] Sridhar, B. et al. Systematic Mapping of RNA-Chromatin Interactions In Vivo. Current Biology 27, 602–609 (2017).
[2] Yan, Z. et al. Genome-wide co-localization of RNA-DNA interactions and fusion RNA pairs. PNAS February 19, 2019, 116 (8) 3328-3337. https://doi.org/10.1073/pnas.1819788116
[3] Wu, W., Yan, Z., Wen X. & Zhong, S. iMARGI: Mapping RNA-DNA interactome by sequencing.
[4] Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler Transform. Bioinformatics, 25:1754-60. (2009).
[5] https://github.com/mirnylab/pairtools and https://pairtools.readthedocs.io/en/latest
[6] Cao, X., Yan, Z., Wu, Q., Zheng, A. & Zhong, S. GIVE: portable genome browsers for personal websites. Genome Biology 19, 92 (2018).
[7] Kerpedjiev, P. et al. HiGlass: web-based visual exploration and analysis of genome interaction maps. Genome Biology 19, 125 (2018).


A target cross-toolchain is located outside the target directory. Under Unix (or Unix-emulation) it is placed in some directory like /opt/BeagleBoneBlack/. There are 4 main tools: C/C++ compiler, assembler, linker and archiver. These tools must be built to be aligned with the XCore. Linker must produce an output, suitable for the target board. Usually it means the linker script must be prepared with the target board memory configuration. Compiler libraries must be compatible with the XCore. I.e. they must use XCore synchronization primitives and memory allocation functions. XCore contains the following C standard library files: assert.cpp, stdlib.cpp, stdio.cpp and time.cpp. They implements a part of the C standard library and expects the C standard include headers be written in a particular way. You may find a correct example in the target Vanilla-X sysroot directory.
This file implements the function __std_assert_failed. Its prototype in the assert.h is
/* __std_assert_failed() */
extern int __std_assert_failed(const char *cond,const char *file_name,int line,const char *func_name);
It is used to implement the macro assert:
/* __std_assert_failed() */ extern int __std_assert_failed(const char *cond,const char *file_name,int line,const char *func_name); /* assert() */ #ifdef NDEBUG #define assert(ignore) ((void)0) #else #define assert(cond) ((void)((cond)?0:__std_assert_failed(#cond,__FILE__,__LINE__,__func__))) #endif
This file implements the functions clock() and time(). These functions are declared in the header time.h as
/* clock() */ #define CLOCKS_PER_SEC ???? typedef unsigned long long clock_t; extern clock_t clock(void); /* time() */ typedef unsigned time_t; extern time_t time(time_t *time_ptr);
The type clock_t must have the same size as Sys::ClockTimeType.
The type time_t must have the same size as Sys::SecTimeType.
The constant CLOCKS_PER_SEC must have the same value as Sys::ClocksPerSec.
This file implements the memory allocation functions with extra functions. They are declared in the header stdlib.h as
/* malloc() */ extern void * malloc(size_t size); extern void * calloc(size_t elem_count,size_t elem_size); extern void * realloc(void *mem,size_t size); extern void free(void *mem); /* malloc_int() */ extern void * malloc_int(size_t size); /* ext function */ extern void free_int(void *mem); /* ext function */
Two extra memory allocation functions malloc_int() and free_int() give access to the interrupt heap. They may be called in any execution context and must be used in C/C++ language support libraries to allocate/free memory for various context data (for example, for exception objects).
This is a large file with an stdio library implementation. You may find a proper header stdio.h in the Vanilla-X sysroot directory.
STD implementation is a particular way to implement some very basic target functionality. It uses an extension to the C standard library. The most of these extended functions are declared in the file __std_init.h. These functions are implemented mostly using the assembler. They are archived with the standard C library functions in the cross-toolchain. This file defines the following entities:
#ifndef XCore___std_init_h #define XCore___std_init_h #ifdef __cplusplus extern "C" { #endif /* types */ typedef unsigned __std_len_t; /* init */ extern void __std_init(void); /* main */ extern void __std_main(void); /* exit */ extern void __std_exit(void); /* constructors/destructors */ typedef void (*__std_init_t)(void); extern __std_init_t * __std_get_init_base(void); extern __std_init_t * __std_get_init_lim(void); /* abort */ extern void __std_abort(const char *zstr) __attribute__((noreturn)) ; extern void __std_abort2(const char *ptr,__std_len_t len) __attribute__((noreturn)) ; /* mem */ /* all MaxAlign-ed */ extern __std_len_t __std_get_heap_int_len(void); extern __std_len_t __std_get_heap_len(void); extern __std_len_t __std_get_syslog_len(void); extern void * __std_alloc(__std_len_t len); /* shared mem */ /* all MaxAlign-ed */ extern void * __std_get_shared_mem(void); extern __std_len_t __std_get_shared_mem_len(void); /* video mem */ /* all MaxAlign-ed */ extern void * __std_get_video_mem(void); extern __std_len_t __std_get_video_mem_len(void); /* int */ typedef void (*__std_handler_t)(void); extern void __std_intsetup(__std_handler_t handler); extern void __std_intcleanup(void); /* context */ /* all MaxAlign-ed */ extern void * __std_context; extern __std_len_t __std_context_len(void); typedef void (*__std_entry_t)(void *arg); extern void __std_context_init(void *context, void *stack, __std_len_t stack_len, __std_entry_t entry, void *arg); extern void __std_switch(void *context); // int disabled #ifdef __cplusplus } // extern "C" #endif #endif
__std_len_t defines the "size type", i.e. it is a substitute for size_t.
__std_init() this function is called by the startup code to perform initialization actions.
__std_main() this function is called by the startup code to run the main functionality.
__std_exit() this function is called by the startup code to perform cleanup actions. These three functions are implemented in the CCore target, in the __std_init.cpp file.
These functions supports the global object's constructors call. There are different ways how the compiler may implement initialization of global objects. One of them is the following: compiler and linker produces a section with the initialization function pointers. These functions must be called in order of appearance. Each constructor register the correspondent destructor to be called using the atexit mechanism. So destructors are called during the atexit processing and not required any additional data to be generated.
__std_init_t is the initialization function type.
__std_get_init_base() returns the base of the initialization function section.
__std_get_init_lim() returns the limit of the initialization function section.
__std_abort() aborts the execution with the diagnostic message. Message is given as the zero-terminated string. It can be send out to a serial port, for example, or stored in a flash memory for further extraction. Abort means the execution termination and may reset the board or stop it.
__std_abort2() another abort function, the message is given as the pointer/length couple.
__std_get_heap_int_len() returns the length of the interrupt heap memory region. This value is aligned. This memory region is used to build the interrupt heap.
__std_get_heap_len() returns the length of the heap memory region. This value is aligned. This memory region is used to build the main heap.
__std_get_syslog_len() returns the length of the region. This value is aligned. This memory region is used to build the system log.
__std_alloc() is used to allocate memory from the available board memory. This function is called once per each memory region to obtain memory for this region.
__std_get_shared_mem() returns the base address of the shared memory. This value is aligned. Shared memory can be used to exchange data between CPU and peripheral devices, this memory region is not cached. This memory region is used to build the shared heap.
__std_get_shared_mem_len() returns the length of the shared memory. This value is aligned.
__std_get_video_mem() returns the base address of the video memory. This value is aligned. If the board has no video capabilities this region can be null. Normally this memory region is not cached.
__std_get_video_mem_len() returns the length of the video memory. This value is aligned.
__std_handler_t is the interrupt function type.
__std_intsetup() initializes the interrupt handle subsystem and installs the primary interrupt handler. All interrupts goes to this function. To determine a particular interrupt source the handler must examine the interrupt controller register values. On systems with the multiple interrupt vectors it can be simulated using the global status variables instead of registers. The primary interupt handler is called in the interrupt context, interrupts are disabled. Interrupts in interrupts are not supported.
__std_intcleanup() cleans up the interrupt handle subsystem. Both functions must be called with interrupts disabled.
__std_context is the context of the current task. The task context is region of memory, attached to each task. It is used to preserve some per-task data while task is suspended. These data includes, in particular, CPU register values.
__std_context_len() is the context task length in bytes.
__std_entry_t is the task entry function type.
__std_context_init() initializes the new task context. To prepare a new task context you must allocate first a memory for the task stack and the task context. These memory blocked must be aligned. The stack length must be aligned too. Then you prepare the task context, providing these blocks and the task entry function pointer with the argument. Once you have the context ready, simply switch to this new task using the __std_switch() function.
__std_switch() performs the task switch. This function must be called with interrupts disabled and only in a task context. To switch the current task in the interrupt context you must simply change the variable __std_context.


The problem is as follows. A typical monitor refreshes 60-120 times a second, the time between refreshes being 1000/60 = 16.667 ms. If you want to show your participant a stimulus for only a very brief period, with traditional lab-based software, algorithms sync up when a screen refresh occurs with the presentation of the stimulus. Indeed, in DMDX, the shortest duration stimuli are even specified in ‘ticks’, or the time between intervals.
On the web, however, there is currently no way for the browser or for Flash to know exactly when a refresh is going to happen, and thus no way of syncing the display of stimuli to the screen refresh.
The end result, we don't know with precision how long a short duration stimulus will be shown for, or when it will start/end.
Try playing with paramaters of the simulation! I'm really surprised how quick javascript is for such things! Shame JS is rather ugly when it comes to Object Orientated Programming, which makes code readability not great. Code here https://github.com/andytwoods/refreshSimulation.


_Central_Station_ (R) *** 1/2 (out of ****)
By all outward appearances, this Brazilian drama is a standard road movie--and to a certain extent, it is. Central Station in Rio is what brings together the film's unlikely traveling duo: Dora (Fernanda Montenegro), former schoolteacher, now letter-writer; and Josue (Vinicius de Olveira), an orphaned 10-year-old boy, whose mother was one of the Dora's customers before her untimely death. The two set off on a rough journey across the country to find Josue's long-lost father.
_Central_Station_'s travellers follow the beaten cinematic path, but the film is made unusually compelling by the lead characters. This is because they are so recognizably human; neither Dora nor Josue are the most likable of characters. Dora is, at times, unbearably bitter; Josue is often unnecessarily cruel to his de facto guardian, often ridiculing her haggard appearance. What keeps the audience involved in the plight of this prickly pair are the actors. de Olveira, a shoeshine boy who was discovered by director Walter Salles after the boy asked him for change, is a remarkable find, exuding the right balance of toughness and vulnerability. The same can be said, but to a greater degree, about Montenegro (who has been named Best Actress of the year by both the National Board of Review and the Los Angeles Film Critics Association); she rightfully sees Dora's bitter anger as less a weariness with the world than with herself, a desperate, self-destructive mechanism to keep the world even more distant than it already is. The nuances of Montenegro's work--and the film--are too subtle to notice along the way, but by the film's poignant yet understated conclusion, they are powerfully felt.
Michael Dequina
<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://welcome.to/mrbrown
CompuServe Hollywood Hotline: http://www.HollywoodHotline.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


>
Sem Ⅳ
Assignments For Linear Algebra using Python
Write a program which demonstrate the following
Display the real and imaginary part of complex number
Addition,substraction,multiplication,division of two complex number
Display conjugate of complex number
Write a program to do following
Enter a positive number N and find no a and b such that a
2
- b
2
=N
Find GCD of two number using Euclid algorithm
Write a program to do following.
Enter a vector u as n-list
Enter a vector v as n-list
find the vector au+bv for different values of a&b
Find the dot product of u&v
Write a program to do following
Enter an r by c matrix
display m in matrix format
display the rows and column of the matrix m printing rows
Find the scalar multiplication of m for given scalar
Find the transpose of the matrix M
Write a program to do the following
Find the vector -matrix multiplication of a r by c matrix M with an c-vector u
Find the matrix -matrix product of M with a c by p matrix N
Write a program to enter a matrix and check if it is invertible.If it is invertible.If inverse exists,find the inverse
Write a program to convert the matrix into its rows echelon forms
Write a program to do following
Enter a vector b and find the porjection of b orthogonal to a given vector u
Find the projection of b orthogonal to a set of given return
Write a program to enter a given matrix and an eigen values of the same find the eigen vector.


Warning, javascript is not enabled in your browser. Please enable javascript or else the examples will not work.
Unhighlight is a JQuery plugin that provides an unhighlight (deselect) event for textarea and input form elements.
The unhighlight event is triggered when text that was highlighted becomes deselected through mouse clicking, typing, or deleting within the input element.
Input
Textarea
//Attach to all input elements $("input") .unhighlight(function() { alert("Unhighlight for input element."); });
//Now for all textarea elements $("textarea") .unhighlight(function() { alert("Event came from the textarea."); });
Chrome-based browsers and Ie will automatically perform a deselection for a textarea when refocusing on the textarea after losing focus on a textarea that previously had text selected. Supposely, there is text 'abc', highlighted in a textarea. Focus is lost by pressing tab and then the textarea is refocused by pressing shift tab. The unhighlight event will trigger for the above browsers.
Text must be completely unhighlighted for the unhighlight event to occur. Partial unhighlighting is not supported. For example, the text '123' is selected in a textarea with the mouse still held down. The mouse moves to change the selection to '12', but the unhighlight event will not trigger.
If text was selected in an input or textarea element, focusing away from the element will not trigger the unhighlight event.
Requires JQuery >= 1.7 but should be on the >= 1.10.x branch to support older Ie.
Tested with Opera >= 12.16, Firefox 23, Chrome 29, Ie >= 6.


Lucy's Blog
What I've Learned So Far In My DBC Adventure
Professional Website
Twitter
LinkedIn
Version Control: What's in it for me?
School Daze: Classes, Ids, and You!
Don't Hash My Array, Man
What's Up With #Map?
Classy Joint
Ruby vs. JavaScript
Ruby on Rails: A Quick & Dirty Primer
Getting in the Kitchen
Thinkin' Bout Thinkin'
Issues in Tech: Online Security
A Reflection on Pairing
Addressing Stereotype Threat
Affirmation & Stereotype Threat
How Do You Deal With Conflict? A Self Interview


A golden-colored traditional cider with apple juice and honey fermented together in delightful harmony. Red Branch's spotty quality control allows this draft to evolve over time, making every pint more interesting than the last. Like Bertie Bott's Every Flavour Jelly Beans from the Harry Potter tales, Red Branch Honey Apple Cider is your fermented Russian Roulette.
A gold-medal winning IPA. This highly hopped brew will punch you in the teeth with hints of apricot, peach, mango and lemon flavors and leaves a bit of a sting, just like a Sculpin fish.
Pours a clear orange amber with a lacy off-white head supported by streams of carbonation. The aroma is a combination of malt and oranges. Medium slightly creamy body with lively carbonation. The taste is toffee, malt, and fruit. Has a smooth light maltyness with a dry hoppy and long finish.


Issue 19
-
The Base of a String Theory for Haskell
Backpack solves these problems, by allowing you to parametrize over a signature rather than a concrete implementation of a string type, and instantiate such an indefinite library whenever you want.
-
The Hashrocket websocket shootout in Haskell
The idea is to test how many concurrent clients a single websocket server can serve and how efficiently it can broadcast messages to all the clients.
-
Programming in Haskell: 2nd Edition
This book is based on the author’s experience of teaching Haskell for more than twenty years. All concepts are explained from first principles and no programming experience is required, making this book accessible to a broad spectrum of readers.
-
Haskell eXchange, Hackathon, and Courses
In October 2016, we are co-organizing various events in London. Now is the time to register for: the Haskell eXchange, a two-day three-track conference with a large number of Haskell-related talks and workshops on a wide variety of topics, including keynotes by Simon Peyton Jones, Don Stewart, Conor McBride and Graham Hutton.
-
I decided to write this because Learn You A Haskell is now a common resource for learning functional programming. But, Elm is developing into its own language, and has some significant technical and philosophical differences from Haskell. So, instead of throwing away the great resource that is LYAH, we’ve decided to adapt it.
-
Learning Haskell as a Category theorist
The way Haskell uses the words Functor and Monad don’t correspond to how I know them and furthermore, the explanations given often leave me even more confused because they are aimed at a different audience.


The problem is the following:
We have a domain DS for which we have labelled dataset of question-answer pairs and another domain DT for which we do not have any labelled dataset.
We use the data for domain DS to train SynNet and use that to generate synthetic question-answer pairs for domain DT.
Now we can train a machine comprehension model M on DS and finetune using the synthetic data for DT.
Works in two stages:
For training, map the words to their GloVe embeddings and pass through a Bi-LSTM. Next, pass them through two-FC layers followed by a softmax layer.
Given an input paragraph and a candidate answer, Question Synthesis network generates question one word at a time.
Map each word in the paragraph to their GloVe embedding. After the word vector, append a ‘1’ if the word was part of the candidate answer else append a ‘0’.
Feed to a Bi-LSTM network (encoder-decoder) where the decoder conditions on the representation generated by the encoder as well as the question tokens generated so far. Decoding is stopped when “END” token is produced.
The paragraph may contain some named entities or rare words which do not appear in the softmax vocabulary. To account for such words, a copying mechanism is also incorporated.
At each time step, a Pointer Network (CP) and a Vocabulary Predictor (VP) are used to generate probability distribution for the next word and a Latent Predictor Network is used to decide which of the two networks would be used for the prediction.
At inference time, a greedy decoding is used where the most likely predictor is chosen and then the most likely word from that predictor is chosen.
Data Regularization - There is a need to alternate between mini batches from source and target domain while fine-tuning the MC model.
At inference time, the fine-tuned MC model is used to get the distribution P(i=start) and P(i=end) (corresponding to the likelihood of choosing word I as the starting or ending word for the answer) for all the words and DP is used to find the optimal answer span.
Checkpoint Averaging - Use the different checkpointed models to average the answer likelihood before running DP.
Using the synthetically generated dataset helps to gain a 2% improvement in terms of F-score (from SQuAD -> NewsQA). Using checkpointed models further improves the performance to overall 46.6% F score which closes the gap with respect to the performance of model trained on NewsQA itself (~52.3% F score)


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Improve this Doc
The Loading component is an overlay that prevents user interaction while indicating activity.
By default, it shows a spinner based on the mode. Dynamic content can be passed and displayed with the spinner. The spinner can be hidden or customized to use several predefined options. The loading indicator is presented on top of other content even during navigation.
_For more information, Check out the [API docs](../api/components/loading/LoadingController)._
Basic Usage
Demo
Demo Source
```typescript
import { LoadingController } from 'ionic-angular';
export class MyPage {
constructor(public loadingCtrl: LoadingController) { }
presentLoading() {
const loader = this.loadingCtrl.create({
content: "Please wait...",
duration: 3000
});
loader.present();
}
}
```


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
If you love that retro flavour of mushroom ketchup, guess what? You can make your own. Blended Portobello mushrooms, vinegar and anchovies give it that unique flavour. Unbeatable shaken over steak.
For the mushroom ketchup, heat a frying pan and add the butter. Once melted, fry the shallots for a few minutes. Add the blended mushrooms and fry until soft.
Add the sugar and vinegar and cook until the volume of liquid has reduced then add cream and reduce again. Blend in a food processor with the anchovies then pass through a sieve. Keep in the fridge until needed.
For the flash fried steak, in a large very hot frying pan, add a little oil. Once hot, season the steaks with the salt and black pepper.
Add a knob of butter to the pan and then add the steak. Cook for 30-40 seconds one side and then 20 seconds on the other side.
Let the steaks rest for two minutes and then slice.
To serve, serve the sliced steak with the mushroom ketchup, watercress and shallot rings.


To Raise a stray cat To live happily To Go to Seventeen's concert & Fan meeting To Develop a game To Have a double major


Here is something to juggle your mind,make sure to give the next player a chance after every turn to ensure you do not get a zero
current score 0


Computes group centrality scores and identifies the most central group of players in a network.
| Version: | 1.0.3 |
| Imports: | igraph, sna, matpow, parallel |
| Published: | 2016-04-16 |
| Author: | Weihua An; Yu-Hsin Liu |
| Maintainer: | Yu-Hsin Liu <yuhsliu at indiana.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | keyplayer results |
| Reference manual: | keyplayer.pdf |
| Package source: | keyplayer_1.0.3.tar.gz |
| Windows binaries: | r-devel: keyplayer_1.0.3.zip, r-release: keyplayer_1.0.3.zip, r-oldrel: keyplayer_1.0.3.zip |
| OS X binaries: | r-release: keyplayer_1.0.3.tgz, r-oldrel: keyplayer_1.0.3.tgz |
| Old sources: | keyplayer archive |
Please use the canonical form https://CRAN.R-project.org/package=keyplayer to link to this page.


Apps by Asuult.NET - Google Play
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35 Miles from Center
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The Gobi desert, one of the world's great deserts, covers much of the southern part of Mongolia. Unlike the Sahara there are few sand dunes in the Gobi; rather .
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WPR Article | Mongolia Seeks to Contain Rising Popular Anger Over ...
Jul 25, 2012 . Mongolia has the fastest-growing economy in the world, with GDP increasing by . Download the Kindle file (.mobi) directly to your computer.
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iRMUUN | Portfolio
National Geographic Mongolia Magazine. iRMUUN MULTIMEDIA . Mongolia & UB Guide Serial Books. iRMUUN . Mobi Aspiration campaign. iRMUUN .
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???????? Face Mongolia | Facebook
is on Facebook. To connect with ???????? Face Mongolia, sign up for Facebook today. . ASUULT- Mobi Skytel: ???? ???????? like ????, ??? follow ???? ???
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APNIC - Conference - Future of the Internet in Mongolia
Oct 18, 2010 . Mongolia is one of the fastest growing economies in the Asia Pacific region and is . The rapid Internet growth in Mongolia is reshaping the way .
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Check out STA Travel for all your Trans Siberian / Mongolian rail options with Vodkatrain. Contact us on 0800 474 400 today!
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((( Genghis Khan .Mobi TM))) The Great Mongol Warrior, able to win ...
PRLog (Press Release) - Jan. 7, 2010 - ((( Genghis Khan .Mobi TM))) The Great Mongolian Warrior, being able to win all of the world, by being MOBILE, NOW! is .
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Mongolian Embassies & Consulates - MongoliaVisa.com
All detailed information and addresses of Mongolian Embassies and . Mogolistan Buyukelciligi (Embassy of Mongolia) . Mobi: 88141001,<PHONE_NUMBER>3 .
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Mongolia MONIN syrup importer | Monin
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Across Mongolian Plains by Roy Chapman Andrews - Free eBook
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---
layout: page
permalink: /events/index.html
title: Public Events
description: "A list of my upcoming and past conference engagements"
---
{% include counteventdetails.html %}
I'm an experienced conference speaker and teacher. I started public speaking in 2014 and thus far at {{ site.data.conferences.size}} events, I've done {{keynotecount}} keynotes, {{talkcount}} talks, {{coursecount}} public courses, {{tutorialcount}} tutorials, {{workshopcount}} workshops and organised/co-organised {{organisercount}} of those, in a total of {{uniqueCountries.size}} countries. Plus many many talks at local meetups around the world.
If you're interested to know where I'm going to be and what events I'm attending, look no further! I do my best to keep this up to date as engagements come in.
If you're interested in having me talk or teach at your event, please review by Speaker Rider and if event supports it, you can contact me using your preferred method from my footer.
{% assign events_by_year = site.data.conferences | group_by:"year" | reverse %}
{% for year in events_by_year %}
{% assign allevents = year.items | sort: "startdate" %}
{% for event in allevents %}
{% assign today = "now" | date: '%s' %}
{% assign eventdate = event.startdate | date: '%s' %}
{% if eventdate >= today %}
{% if forloop.last == true %}
{% else %}
{% endif %}
- {{event.name}}
{% if event.enddate == nil %}
{% if event.year > 2016 %}
- {{ event.startdate | date: "%e %B %Y" }}
{% else %}
- {{ event.startdate | date: "%B %Y" }}
{% endif %}
{% else %}
- {{ event.startdate | date: "%e" }}-{{ event.enddate | date: "%e %B %Y" }}
{% endif %}
- {{ event.role | join: ', ' }}
-
{% if event.city == nil %}
{{event.country }}
{% else %}
{{ event.city }}, {{event.country }}
{% endif %}
- More Info
{% endif %}
{% endfor %}
{% endfor %}
{% assign events_by_year = site.data.conferences | group_by:"year" %}
Previous
{% for year in events_by_year %}
{% assign allevents = year.items | sort: "startdate" | reverse %}
{% for event in allevents %}
{% assign today = "now" | date: '%s' %}
{% assign eventdate = event.startdate | date: '%s' %}
{% if eventdate <= today %}
-
{% if event.enddate == nil %}
{% if event.year > 2016 %}
{{ event.startdate | date: "%e %B %Y" }}
{% else %}
{{ event.startdate | date: "%B %Y" }}
{% endif %}
{% else %}
{{ event.startdate | date: "%e" }}-{{ event.enddate | date: "%e %B %Y" }}
{% endif %}
|
{% if event.url == nil %}
{{ event.name }}
{% else %}
{{event.name}}
{% endif %}
|
{% if event.country == 'Online' %}
{{ event.country }}
{% else %}
{% endif %}
|
{{ event.role | join: ', ' }}
{% endif %}
{% endfor %}
{% endfor %}


Safety Results Over Time plot
safety_results_over_time(data, settings)
| data | labs data structured as one record per person per visit per measurement. See details for column requirements. |
|---|---|
| settings | named list of settings with the parameters specified below. |
returns a chart object
The settings object provides details the columns in the data set.
"value_col"Value column
"measure_col"Measure column
"measure_values"Measure values
"visit_col"Study Visit
"visitn_col"Study Number
"group_col"Grouping column
"violins"Show Violin plots?
"boxplots"Show Box Plots?
"axis"set to "log" to use a log transformed axis, linear otherwise
"drop_visit_string"Drop visits that contain this string. e.g. "unscheduled"
#> #>#>#> #>#>#> #>lb <- safetyData::sdtm_lb sub_ids <- unique(lb$USUBJID)[1:100] lb<-lb %>% filter(USUBJID %in% sub_ids) settings <- list( value_col = "LBORRES", measure_col = "LBTEST", measure_values = c("Chloride"), visit_col = "VISIT", visitn_col = "VISITNUM", axis = "log" ) safety_results_over_time(lb, settings)#> Warning: `fun.y` is deprecated. Use `fun` instead.# remove unscheduled visits, add violin plot and 2nd panel settings$drop_visit_string <- "unscheduled" settings$violins <- TRUE settings$measure_values <- c("Albumin") safety_results_over_time(lb, settings)#> Warning: `fun.y` is deprecated. Use `fun` instead.#> Warning: Groups with fewer than two data points have been dropped.# add grouping by treatment dm_sub <- safetyData::sdtm_dm %>% select(USUBJID, ARM) dm_lb <- dm_sub %>% left_join(lb)#>settings$group_col <- "ARM" safety_results_over_time(dm_lb, settings)#> Warning: `fun.y` is deprecated. Use `fun` instead.#> Warning: Groups with fewer than two data points have been dropped.


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Reference data (
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: references searchable by tags.
Relationships among tags
.
Authorization policy
.
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: hierarchical organization of references.
Database
: database interface to reference list.
Bibtex
: bibtex listing of all references.
Supporting data
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--- layout: page title: About me subtitle: "Or: why I am a good fit for you" css: "/css/aboutme.css" ---
Currently a Machine Learning Engineer at Arm (Cambridge, UK) where I am an open source contributor to Google's TensorFlow library. Previously interned at Thales (a leading company in the aerospatial and defense industry) as a Research Engineer in Deep Learning.
Obtained my MSc in Artificial Intelligence from ENSEA (a French grande école) and my Bachelor of Computer Science from the University of Paris-Saclay. My master's project involved solving a jigsaw puzzle using a model-based reinforcement learning algorithm.
I love writing amazing & challenging pieces of software — check out my projects. My journey started at 13, building a video game in C. Here we are 10 years later, I'm now deeply focused on implementing exciting deep learning algorithms!
I have cofounded Serverlobby.io...
I'm addicted to demanding sports (Gym, Parkour, Obstacle Race, Ski and more), travelling, interacting with people, trying new things and not to forget enjoying this life on earth :)
The projects page is a nice place to see some of my work, but if you prefer you can also checkout my resume.
Born and raised in the Paris area; lived 6 months in Montreal, Canada for my Master internship; currently living in Cambridge, United Kingdom; spend months travelling in Europe and North America.


Portfolio
PneumeCoin.comEthereum-lottery.org
Ethereal Faust
+86.1312.065.6816
Wechat id: charlespfinney
Gitlab
Github
Twitter
LinkedIn
YouTube
Gab
Hong Kong, studied crypto-currency trading, venturesand software development; Bangkok implemented Bitcoin business solutions.
Teacher and tech guy, New York state teaching organization teaching German, English and Chess to children ages 6 to 18.
Founder of Non Profit organization recycling computers as digital Libraries, providing textbooks for developing countries.
Entrepreneur; URBI S.A. Bilbao Spain; Opened Central Asian Stock Exchange and organized Kazakhstan’s first International Investment Conference,
Consultant at UNDP for Privatization and Entrepreneurship for Eastern Europe and CIS assisting in implementing market economy reform.
Consultant at UNDP for Privatization and Entrepreneurship for Eastern Europe and CIS assisting in implementing market economy reform.
Organized with Dr. Michael Schreiber the Thirteenth European Meeting on Cybernetics and Systems Research with George Spencer Brown.
Analysis and Design of Information Systems, Dr. Arthur M. Langer.
summer course on Software Engineering for Internet Applications by Prof. Greenspun
Film, Advanced internet development and Web design, screenwriting and fine art drawing
Modeling and Control of Fisher’s equation of exchange effects on Entrepreneurship;
Course of study: Economics (transferred to University of Vienna)
JROTC; Military Collage preparatory boarding school.
First Prize winner with .
Lecture and workshop on crypto-currencies set up first Bitcoin Ethereum ATM.
Organized
Python, & Graph database - Neo4j
Ethereum - Solidity
Java, Python, PHP & Git version control
HTML5/CSS3 & Javascript
Bilingual in German, English, trained in French and Spanish.
Fundraiser: Lorem adipiscing ei eam, eros conceptam maiestatis ne sea.
Music, Movies, Mountaineering, Travelling, Cooking.
address
adresss
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